The world is rapidly evolving, and with it, the job market. In the future, many professions we are unfamiliar with today will emerge, especially as technology advances. Careers in fields such as artificial intelligence, biotechnology, and sustainable energy will become more prominent. For instance, roles like AI ethics consultants, genetic engineers, and renewable energy designers will be crucial. The demand for such experts will rise as society continues to innovate and address global challenges like climate change and healthcare.

However, no matter the field, one skill will remain indispensable: proficiency in English. English is the global language of business, research, and technology. A biotech researcher in Seoul can easily communicate with a tech expert in Silicon Valley, thanks to English. Furthermore, most cutting-edge research is published in English, and international companies conduct meetings in English. For this reason, mastering English will give professionals a competitive edge, allowing them to engage in global conversations, collaborate with international teams, and access vital information.

In summary, as the job landscape evolves, so too will the importance of English. Those who are fluent in the language will be more adaptable, have access to wider opportunities, and lead the charge in innovative fields.

Korean Version:

세상은 빠르게 변하고 있으며, 직업 시장 또한 그 변화에 맞춰 진화하고 있습니다. 미래에는 오늘날 우리가 낯설게 느끼는 직업들이 등장할 것입니다. 특히 인공지능, 생명공학, 지속 가능한 에너지와 같은 분야에서 새로운 직업들이 두각을 나타낼 것입니다. 예를 들어, AI 윤리 컨설턴트, 유전자 엔지니어, 재생 가능 에너지 설계자와 같은 직업들이 중요해질 것입니다. 사회가 혁신하고 기후 변화와 건강 문제와 같은 글로벌 도전에 대응할 때, 이러한 전문가들의 수요는 더욱 증가할 것입니다.

그렇지만 어떤 직업을 선택하든, 하나의 능력은 반드시 필요합니다: 바로 영어 능력입니다. 영어는 비즈니스, 연구, 기술의 글로벌 언어로 자리 잡았습니다. 예를 들어, 서울의 생명공학 연구자가 실리콘밸리의 기술 전문가와 원활하게 소통할 수 있는 것은 영어 덕분입니다. 또한 대부분의 최신 연구는 영어로 발표되며, 국제 기업은 영어로 회의를 진행합니다. 이 때문에 영어를 잘 구사하는 사람은 경쟁력을 가질 수 있으며, 전 세계 사람들과 협력하고 중요한 정보를 얻을 수 있는 기회를 얻게 됩니다.

결론적으로, 직업 시장이 변화함에 따라 영어의 중요성도 더욱 커질 것입니다. 영어를 유창하게 구사하는 사람들은 더 많은 기회를 얻고, 혁신적인 분야에서 앞서 나갈 수 있을 것입니다.

As technology continues to evolve at a rapid pace, it will inevitably shape the career path I hope to pursue. I aspire to work in the field of environmental science, focusing on sustainability and renewable energy. Future advancements in technology will have a significant impact on my career. For example, the development of more efficient solar panels, wind turbines, and energy storage systems will create new opportunities for environmental scientists to implement sustainable solutions on a larger scale. These innovations will allow us to address global energy demands while reducing our carbon footprint.

Furthermore, artificial intelligence (AI) and machine learning will play a crucial role in my field. AI can help optimize energy production and consumption, predict environmental changes, and improve the efficiency of renewable energy systems. As a result, I will need to adapt to these technological tools and learn how to work alongside AI to achieve more effective outcomes. This will require continuous learning and upskilling in new technologies, which is both exciting and challenging.

In conclusion, the rapid pace of technological change will have a profound impact on my desired career, presenting both challenges and opportunities. By embracing these changes and staying updated with new advancements, I can contribute to the future of sustainable energy and make a meaningful difference in the world.

Korean Version:

기술이 빠르게 발전함에 따라, 그것은 내가 희망하는 직업 경로에 큰 영향을 미칠 것입니다. 저는 환경 과학 분야에서 지속 가능성 및 재생 가능 에너지에 집중하는 직업을 원합니다. 미래의 기술 발전은 제 직업에 중요한 영향을 미칠 것입니다. 예를 들어, 더 효율적인 태양광 패널, 풍력 터빈, 에너지 저장 시스템의 개발은 환경 과학자들이 지속 가능한 해결책을 더 큰 규모로 구현할 수 있는 새로운 기회를 창출할 것입니다. 이러한 혁신들은 우리가 글로벌 에너지 수요를 해결하면서도 탄소 발자국을 줄이는 데 도움을 줄 것입니다.

또한, 인공지능(AI)과 머신러닝은 제 분야에서 중요한 역할을 하게 될 것입니다. AI는 에너지 생산과 소비를 최적화하고, 환경 변화를 예측하며, 재생 가능 에너지 시스템의 효율성을 높이는 데 도움이 될 수 있습니다. 이에 따라 저는 이러한 기술 도구에 적응하고, AI와 협력하여 더 효과적인 결과를 이끌어내는 방법을 배워야 할 것입니다. 이는 지속적인 학습과 기술 향상이 필요하며, 그 과정은 흥미롭고 도전적일 것입니다.

결론적으로, 기술 변화의 빠른 속도는 제 직업에 깊은 영향을 미칠 것이며, 도전과 기회를 모두 제공할 것입니다. 이러한 변화를 받아들이고 새로운 발전에 맞춰 나가며, 저는 지속 가능한 에너지의 미래에 기여하고 세상에 의미 있는 변화를 일으킬 수 있을 것입니다.

1) 코드를 작성하는 능력이 아닌, 코드를 이해하고 활용할 수 있는 능력이 필요함.

2) 다양한 선택지를 때에 맞게 효율적으로 사용할 수 있는 발상을 할 수 있어야 함.

• 로봇이 환자 이동 보조, 약물 분배, 생체 신호 모니터링 수행

• AI가 환자 데이터 분석 및 건강 상태 예측

미래 간호사의 역할 변화

• AI 시스템을 활용한 데이터 분석 및 의사 결정 능력 필요

• 기술 관리 및 감독자로서의 역할 증가

• 소아: 간·신장 미성숙, 체수분↑, 체지방↓ → 약물 대사·배설 느림

• 노인: 간·신장 기능 저하, 체수분↓, 체지방↑ → 약물 축적 위험 증가

2. 약물 반응 차이

• 흡수: 소아·노인 모두 위산 분비↓ → 일부 약물(예: 약한 산성 약물) 흡수 저하

• 분포:

  • 소아: 수용성 약물(예: 항생제) 분포↑ → 필요 용량 증가

  • 노인: 지용성 약물(예: 진정제) 축적↑ → 작용 시간 연장

• 대사:

  • 소아: 간 대사 효소 미성숙 → 1차 대사 지연(약물 작용 지속)

  • 노인: 간 대사 기능 저하 → 1차 대사 약물(예: 베타차단제) 혈중 농도↑

• 배설:

  • 소아: 신장 배설 기능 미숙 → 신장 배설형 약물(예: 항생제) 축적

  • 노인: 신장 기능 저하 → 약물 배설 지연(예: 디곡신, NSAIDs)

3. 간호학적 고려사항

• 소아: 용량 조절(체중·연령 기준), 보호자 교육, 복약 순응도 향상

• 노인: 신장·간 기능 평가 후 용량 조절, 다약제 사용 모니터링, 낙상 예방

4. 결론

소아와 노인은 생리적 특성 차이로 인해 약물 대사·배설 과정이 다르게 작용하므로, 연령별 맞춤형 약물 관리가 필수적이다.

-> 인공지능이 발달함에 따라 화학적 연구의 효율성이 올라갈 뿐만 아니라 정확도도 올라 더 나은 결과를 도출해낼 가능성이 높아짐

-인공지능(AI)과 로봇 기술이 간호사의 역할에 영향을 미침

AI의 역할

-질병 진단, 생명 징후 모니터링, 실시간 데이터 제공

로봇의 역할

-환자 이동, 약물 전달 등 육체적 작업 지원

효율성 향상

-기술이 간호사의 육체적 부담을 줄이고 효율성 증가

간호사와 환자의 관계

-기술의 사용 증가로 환자와의 대면 상호작용이 줄어들 가능성 있음

긍정적 영향

-간호사가 환자에게 더 많은 정서적 지원과 직접적인 돌봄 제공 가능

부정적 영향

-기술 의존으로 인한 환자 고립감 증가 우려

균형 유지의 필요성

-간호사는 기술을 사용하면서도 개인적인 관계를 유지해야 함

미래전망

-AI와 로봇 기술이 발전하더라도 간호사의 인간적인 역할은 중요함

3. 로봇과 자동화 기술 도입

   수술용 로봇이 발전하면서 더욱더 정밀한 수술이 가능해지고, 로봇 간호사나 약제 로봇이 병원 내에서 업무를 보조할 수 있다.

4. 빅데이터와 맞춤형 치료

   환자의 유전자 정보, 생활 습관, 병력 등을 분석하여 개인별 맞춤형 치료를 제공하는 정밀의료가 활성화될 것이다. 빅데이터를 기반으로 질병의 조기 발견과 예방이 가능해지고, 의료 서비스의 질이 향상될 것이다.

본론:

양자 컴퓨팅이란?

양자 컴퓨팅이 천문학 연구에 미칠 영향

1. 천체 물리학 시뮬레이션의 발전

2. 빅데이터 분석 속도 향상

3. 외계 행성 탐색 및 기후 변화 연구 활용

결론: 양자 컴퓨팅은 천문학 연구 발전에 기여할 수 있지만, 아직 기술이 초기 단계이므로 실용화를 위한 연구가 필요함.

이는 간호사들이 환자를 더 효율적으로 관리하고 위험 상황에 빠르게 대처할 수 있게 한다

-환자의 상태를 실시간으로 모니터링하는 AI 시스템->응급상황 대처

-간호사들의 반복적인 업무를 줄여주는 ai의 자동화 역할->간호사들이 환자케어에 더 많은 시간 투자, 피로도 감소

-미래의 간호사들은 단순한  환자 돌봄을 넘어 데이터 분석과 기술 활용 능력을 갖춰야한다

직업 특

• 각종 기술 설계, 개발

• 글로벌한 직업

번역기의 한계

• 실시간 소통 어려움

• 단순 철자오류 큰 차이 유발

Ex) Chat Gpt 상용화 초기 > 영어 모듈이 속도나 언어의 유연성에서 훨씬 빠르고 높은 활용도를 보임.

Astronomy is a field that deals with massive amounts of data and complex calculations about the universe. However, traditional computers have limitations when it comes to simulating phenomena like black hole collisions or studying dark matter. To overcome these challenges, quantum computing has recently gained attention as a powerful new technology.

Quantum computing is based on the principles of quantum mechanics, and it allows not only faster calculations but also the ability to solve problems that classical computers cannot handle. It uses quantum bits, or qubits, which can represent both 0 and 1 at the same time, enabling true parallel processing.

For example, quantum computers could simulate the early universe or black holes more precisely and efficiently than even today’s supercomputers. They can also help in searching for exoplanets, analyzing astronomical big data, and exploring mysterious elements like dark energy.

Although quantum computing is still in the early stages of development, companies like Google and IBM are making rapid progress. Once it becomes more practical, it will likely revolutionize how astronomers conduct research. In the future, quantum computing may become an essential tool for astronomers around the world.

Korean Version:

천문학은 방대한 데이터를 분석하고 복잡한 우주 현상을 계산하는 학문이다. 하지만 기존 컴퓨터로는 천체 시뮬레이션이나 암흑물질 연구 같은 복잡한 계산에 한계가 있다. 이러한 문제를 해결할 수 있는 기술로 최근 주목받는 것이 양자 컴퓨팅이다.

양자 컴퓨팅은 양자역학의 원리를 기반으로 한 새로운 계산 방식으로, 단순히 빠른 속도뿐만 아니라 기존 컴퓨터로는 풀 수 없던 문제도 해결할 수 있다. 큐비트라는 단위를 이용해 0과 1을 동시에 표현하고, 병렬 계산이 가능하다는 점이 특징이다.

예를 들어, 블랙홀 충돌이나 우주의 초기 상태와 같은 복잡한 시뮬레이션은 기존 슈퍼컴퓨터로는 계산에 오랜 시간이 걸리지만, 양자 컴퓨팅을 사용하면 훨씬 빠르게 정밀한 결과를 얻을 수 있다. 또한 외계 행성 탐색, 암흑물질 연구, 빅데이터 분석 등에도 응용될 수 있다.

양자 컴퓨팅은 아직 초기 개발 단계지만, Google, IBM 등 여러 기업이 활발히 연구 중이며 점차 발전하고 있다. 앞으로 기술이 실용화되면 천문학의 연구 방식은 물론, 발견의 속도와 깊이에도 큰 변화를 가져올 것이다. 미래의 천문학자에게 양자 컴퓨팅은 꼭 필요한 도구가 될 수 있다.

Based on prior research on pediatric and geriatric nursing, I chose this topic to go beyond a simple nursing approach and explore in depth how age-specific physiological differences influence drug responses. Compared to the general adult population, children and the elderly have distinct physiological characteristics that directly affect the processes of drug absorption, distribution, metabolism, and excretion. For example, in pediatric patients, the immaturity of hepatic CYP450 enzyme activity and glomerular filtration rate (GFR) tends to delay drug metabolism and slow excretion. In contrast, elderly patients experience reduced hepatic blood flow and declining renal function, which weakens the first-pass effect and increases the risk of elevated plasma concentrations of certain drugs, such as propranolol and diazepam. In addition, children have a higher body water percentage, which leads to greater distribution of water-soluble drugs (e.g., amino glycoside antibiotics), whereas older adults have a higher body fat percentage, increasing the likelihood of long-term accumulation of lipid-soluble drugs (e.g., benzodiazepines). Due to these physiological differences, administering the same dose of a drug may result in prolonged half-life in pediatric patients and increased toxicity in elderly patients due to drug accumulation. Therefore, dosage adjustments based on age-related pharmacokinetics are essential, and nurses must assess a patient's age and physiological condition to establish tailored drug management strategies. For instance, pediatric patients require dosage modifications reflecting weight and renal function, while geriatric patients must be closely monitored for potential drug interactions due to poly pharmacy. Ultimately, understanding the differences in drug responses between children and the elderly and implementing appropriate dose adjustments is a critical element of safe and effective pharmacological treatment.

Korean version:

소아와 노인 간호에 대해 조사했던 것을 바탕으로, 단순한 간호적 접근법을 넘어 연령별 생리학적 차이가 약물 반응에 미치는 영향을 심층적으로 탐구하고자 해당 주제를 선택했다. 소아와 노인은 일반 성인과 비교했을 때 생리학적 특성이 다르며, 이러한 차이는 약물의 흡수(absorption), 분포(distribution), 대사(metabolism), 배설(excretion) 과정에 직접적인 영향을 미친다. 예를 들어, 소아는 간의 CYP450 효소 활성과 신장의 사구체 여과율(GFR)이 미숙하여, 약물 대사가 지연되고 배설 속도가 느려지는 경향이 있다. 이에 반해 노인은 간 혈류량 감소와 신장 기능 저하로 인해 1차 대사 효과(first-pass effect)가 약화되며, 이에 따라 특정 약물(예: 프로프라놀롤, 디아제팜)의 혈중 농도가 증가할 위험이 있다. 또한, 소아는 체수분 비율이 높아 수용성 약물(예: 아미노글리코사이드 항생제)의 분포가 증가하지만, 노인은 체지방 비율이 증가하여 지용성 약물(예: 벤조다이아제핀)이 체내에 장기간 축적될 가능성이 크다. 이러한 생리학적 차이로 인해, 같은 용량의 약물을 투여하더라도 소아에서는 약물의 반감기가 연장될 수 있으며, 노인에게서는 약물 축적으로 인해 독성이 증가할 수 있다. 따라서 약물 치료 시 연령별 약물 동태학(pharmacokinetics)을 고려한 용량 조절이 필수적이며, 간호사는 환자의 연령과 생리적 상태를 평가하여 맞춤형 약물 관리 전략을 수립해야 한다. 예를 들어, 소아에게는 체중 및 신장 기능을 반영한 용량 조절이 필요하며, 노인에게는 다약제 사용(poly pharmacy)으로 인한 약물 상호작용을 면밀히 모니터링해야 한다. 결국, 소아와 노인의 약물 반응 차이를 이해하고 적절한 약물 조절을 시행하는 것은 안전하고 효과적인 약물 치료의 핵심 요소라 할 수 있다.

전통적으로 수학은 인간의 논리와 증명을 통해 발전해왔지만, 머신러닝은 방대한 데이터를 기반으로 한 예측과 패턴 인식을 통해 새로운 수학적 관계를 찾아낸다. 실제로 딥마인드의 AI는 결합론과 정수론 분야에서 인간이 미처 발견하지 못한 수학적 패턴을 제시했고, 일부는 수학자들에 의해 정식으로 증명되기도 했다. 이처럼 머신러닝은 수학적 직관을 보완하며 새로운 수학 지식의 발견을 가능하게 하고 있다. 또한, 계산과 추론을 빠르게 수행할 수 있는 AI의 등장으로, 사람은 정답을 찾는 것보다 문제를 해석하고 정의하는 능력을 더 중시하게 되었다. 교육 현장에서도 AI 기반 수학 학습 도구가 도입되면서, 학생들은 공식을 외우기보다 실제 데이터를 분석하고 문제를 해결하는 능력을 기르게 되고 있다. 결국 머신러닝은 수학을 추상적인 이론 중심에서 벗어나, 현실 문제 해결에 유용한 실용적인 도구로 변화시키고 있는 것이다.

대표적인 예로, 환경오염 문제를 다룬 다큐멘터리 "불편한 진실"은 많은 사람들에게 기후 변화의 심각성을 알렸고, 실제로 정책 변화와 대중의 인식 개선에 기여했다. 또 다른 예로는 동물 학대를 다룬 "블랙피쉬"가 있다. 이 다큐멘터리는 수족관의 고래 쇼에 대한 사회적 비판을 불러일으켰고, 결국 대형 수족관 기업이 정책을 바꾸는 계기를 만들었다. 이처럼 다큐멘터리는 감정을 자극하고 사실을 전달함으로써 사람들이 더 깊이 문제를 이해하고 행동하게 만든다.

결론적으로, 다큐멘터리는 사회적 문제를 조명하고 대중의 인식을 변화시킴으로써 실제 행동과 제도 변화를 이끌어내는 데 큰 역할을 한다. 우리가 다큐멘터리를 통해 세상의 다양한 목소리를 듣고, 더 나은 사회를 만들기 위한 첫걸음을 내딛는 것이 중요하다.

Today, we are exposed to many social issues, and one powerful way to address them is through documentaries. Documentaries are more than just visual content—they can change people’s perceptions and inspire real action.

For example, An Inconvenient Truth, a documentary about environmental pollution, raised awareness about the seriousness of climate change and influenced both public opinion and policy. Another well-known example is Blackfish, which exposed the cruelty behind orca shows in marine parks. This documentary sparked public outrage and led to major policy changes by large aquarium companies. By delivering emotional stories and factual information, documentaries help people better understand problems and feel motivated to act.

In conclusion, documentaries play a significant role in highlighting social issues and creating real-world change by shaping public awareness and encouraging action. It is important for us to listen to diverse voices through documentaries and take the first step toward building a better society.

The Impact of Future Technological Changes on My Desired Career

As technology continues to evolve at a rapid pace, it will inevitably influence the career path I hope to pursue. I aspire to become a pilot, and future advancements in technology will significantly shape this profession in many ways.

One major area of change is the development of autonomous flight and AI-assisted systems. In the future, pilots will not only operate aircraft but also manage highly intelligent systems that can analyze weather conditions, monitor aircraft performance, and even recommend optimal flight paths in real time. This shift will require pilots to work alongside AI and understand how to manage these complex technologies effectively.

Another key advancement is the introduction of electric and hydrogen-powered aircraft. These eco-friendly aircraft will help reduce carbon emissions and contribute to a more sustainable aviation industry. However, they also come with new systems and operating methods that pilots must learn. Understanding electric power management and the unique characteristics of hydrogen fuel will require additional training and adaptability.

Furthermore, the role of the pilot is expected to evolve. In addition to traditional flight operations, pilots will need strong analytical skills to interpret data and collaborate with AI. Despite the rise of automation, pilots will still play a critical role, especially in emergency situations where human judgment is essential. Therefore, the ability to respond quickly and solve problems will remain a core part of a pilot’s responsibility.

In conclusion, future technological developments will greatly impact the aviation field, bringing both challenges and opportunities. By staying informed and continuously learning, I can grow into a skilled, responsible, and adaptable pilot ready to meet the demands of a changing industry. Embracing these changes will not only help me succeed but also contribute to the future of safer and more sustainable aviation.

Korean Version

미래 기술 변화가 내가 원하는 직업에 미칠 영향

기술이 빠르게 발전함에 따라, 이는 내가 꿈꾸는 직업에도 분명히 영향을 미칠 것입니다. 저는 비행기 조종사가 되는 것을 꿈꾸고 있으며, 앞으로의 기술 발전은 이 직업에 다양한 방식으로 큰 영향을 줄 것입니다.

첫 번째로 주목할 변화는 자율 비행과 AI 지원 시스템의 개발입니다. 미래에는 조종사가 단순히 항공기를 조작하는 것을 넘어, 날씨를 분석하고 항공기의 성능을 모니터링하며, 최적의 항로를 실시간으로 추천하는 지능형 시스템을 함께 운영하게 될 것입니다. 이런 변화는 조종사가 AI와 협력하며 이러한 첨단 기술을 효과적으로 관리할 수 있는 능력을 필요로 합니다.

또한, 전기 및 수소 연료를 사용하는 친환경 항공기의 도입도 중요한 변화 중 하나입니다. 이러한 항공기는 탄소 배출을 줄여 지속 가능한 항공 산업을 만들 수 있는 길을 열어줄 것입니다. 하지만 새로운 동력 시스템과 운항 방식에 대한 이해와 훈련이 필요하므로, 조종사에게는 높은 적응력과 추가적인 학습이 요구됩니다.

더 나아가, 조종사의 역할 자체도 점차 변화하고 있습니다. 전통적인 비행 조작 외에도, 조종사는 데이터를 분석하고 AI와 협력하여 보다 효율적인 결정을 내리는 능력이 필요해질 것입니다. 자동화 기술이 발전하더라도, 긴급 상황에서는 여전히 조종사의 판단력과 빠른 대응이 매우 중요합니다. 따라서 문제 해결 능력은 앞으로도 조종사에게 꼭 필요한 핵심 역량이 될 것입니다.

결론적으로, 미래의 기술 발전은 항공 분야에 큰 영향을 미치며, 도전과 기회를 동시에 가져올 것입니다. 변화하는 기술을 수용하고 끊임없이 배워나감으로써, 저는 유능하고 책임감 있는 조종사로 성장할 수 있을 것입니다. 이러한 변화에 능동적으로 대응함으로써, 저는 더 안전하고 지속 가능한 항공 산업의 미래에 기여할 수 있을 것이라 믿습니다.

The rapid evolution of technology is significantly transforming the field of hacking, introducing both new threats and innovative defenses. One of the most notable changes is the integration of artificial intelligence and machine learning, which allows hackers—both ethical and malicious—to automate the development of sophisticated attack strategies and efficiently detect system vulnerabilities. For example, AI can be used to scan millions of lines of code in seconds, identifying weak points that would take humans days to find. At the same time, defenders are also leveraging AI to create self-learning security systems that adapt to new threats in real time.

In addition, the emergence of quantum computing is pushing the boundaries of cryptography. While this advancement holds great promise for data processing, it also threatens to break many of the encryption algorithms currently in use. As a result, hackers are either working to exploit quantum-sensitive systems or developing new quantum-resistant encryption techniques.

The growing number of IoT and edge devices, from smart thermostats to autonomous vehicles, has dramatically expanded the attack surface, creating countless new entry points for cyber intrusions. Similarly, the rise of cloud computing and APIs has exposed limitations in traditional perimeter-based security, requiring hackers to craft more dynamic and adaptive strategies. Lastly, blockchain and smart contracts, while celebrated for their transparency and decentralization, are also prone to coding flaws and logic bugs, which have already led to several high-profile cyberattacks in the crypto space.

In conclusion, future technological changes are not just reshaping hacking methods but are redefining the very nature of cybersecurity itself. To stay ahead, hackers and defenders alike must continuously innovate, adapt, and learn.

KR.ver)

빠르게 진화하는 기술은 해커 분야에 중대한 변화를 가져오고 있으며, 이는 새로운 위협과 동시에 혁신적인 방어 전략을 만들어내고 있습니다. 특히 인공지능과 머신러닝의 도입은 해커들이 정교한 공격 기법을 자동화하고, 시스템의 취약점을 더욱 빠르고 정밀하게 탐지할 수 있도록 해줍니다. 예를 들어 AI는 수백만 줄의 코드를 몇 초 만에 분석하여 사람이라면 며칠이 걸릴 취약점을 찾아낼 수 있습니다. 동시에 보안 전문가들도 AI를 활용해 실시간으로 적응하는 자율 보안 시스템을 개발하며 방어력을 강화하고 있습니다.

또한 양자 컴퓨팅의 등장은 기존 암호화 기술의 한계를 시험에 들게 하고 있습니다. 양자 기술은 현재 널리 사용되는 암호 알고리즘을 무력화할 가능성이 있어, 일부 해커들은 이를 악용하려 시도하는 반면, 다른 해커들은 양자 저항 암호를 개발하며 새로운 보안 체계를 구축하고 있습니다. 더불어, 사물인터넷(IoT)과 엣지 컴퓨팅의 확산은 스마트홈 기기부터 자율주행차에 이르기까지 수많은 장치를 네트워크에 연결시키고 있으며, 그만큼 공격 경로도 다양해지고 보안 취약점 역시 증가하고 있습니다.

클라우드 컴퓨팅과 API의 발전 또한 전통적인 경계 기반 보안 모델의 한계를 드러내며, 해커들이 더욱 유연하고 창의적인 공격 전략을 시도하도록 만들고 있습니다. 마지막으로 블록체인과 스마트 계약 기술은 투명성과 탈중앙화라는 장점을 제공하지만, 코드상의 작은 결함이나 논리적 허점이 심각한 보안 사고로 이어질 수 있어 새로운 위협 요소가 되고 있습니다.

결론적으로, 미래 기술의 발전은 해커의 도구와 전략은 물론 사이버 보안의 패러다임 자체를 바꾸고 있습니다. 이에 따라 해커와 보안 전문가 모두 끊임없이 배우고 적응하며 창의적인 방식으로 진화해야만 살아남을 수 있을 것입니다.

-현재 외국인환자유치 정책을 통해 외국인 환자 수가 급증하고 있다.

-외국인 환자 수 증가로 인한 장점(의료 인프라 발전, 국제적 명성 강화)

2.본론

-주장:외국인 환자 수 증가가 우리나라의 의료계에 좋은 영향만 끼치는 것은 아님

-근거:자원 경쟁(의사들은 한정적이기 때문에 우리나라 환자들이 치료를 받기 위해서 경쟁을 헤야한다.), 언어와 문화적 차이(진료상의 문제점), 명확한 규정이나 정책의 부재로 인한 혼란

3.결론

-경제적 이익과 공정한 의료 서비스 제공 사이에서 균형을 맞추는 것이 중요함

-더 나은 규제와 공공 건강 투자로 딜레마를 해결할 필요성이 있음

전통적으로 수학은 인간의 논리와 증명을 통해 발전해왔지만, 머신러닝은 방대한 데이터를 기반으로 한 예측과 패턴 인식을 통해 새로운 수학적 관계를 찾아낸다.

실제로 딥마인드의 AI는 결합론과 정수론 분야에서 인간이 미처 발견하지 못한 수학적 패턴을 제시했고, 일부는 수학자들에 의해 정식으로 증명되기도 했다.

이처럼 머신러닝은 수학적 직관을 보완하며 새로운 수학 지식의 발견을 가능하게 하고 있다.

또한, 계산과 추론을 빠르게 수행할 수 있는 AI의 등장으로, 사람은 정답을 찾는 것보다 문제를 해석하고 정의하는 능력을 더 중시하게 되었다.

교육 현장에서도 AI 기반 수학 학습 도구가 도입되면서, 학생들은 공식을 외우기보다 실제 데이터를 분석하고 문제를 해결하는 능력을 기르게 되고 있다.

결국 머신러닝은 수학을 추상적인 이론 중심에서 벗어나, 현실 문제 해결에 유용한 실용적인 도구로 변화시키고 있는 것이다.

Traditionally, mathematics has progressed through human logic and proof, but machine learning finds new mathematical relationships through prediction and pattern recognition based on vast amounts of data.

In fact, DeepMind's AI has suggested mathematical patterns in areas like combinatorics and number theory that had not been discovered by humans, some of which have been formally proven by mathematicians.

In this way, machine learning complements mathematical intuition and makes the discovery of new mathematical knowledge possible.

Additionally, with the advent of AI, which can quickly perform calculations and inferences, the focus is shifting from finding the correct answer to interpreting and defining problems. In the field of education, AI-based math learning tools are being introduced, allowing students to develop the ability to analyze real data and solve problems, rather than simply memorizing formulas.

Ultimately, machine learning is transforming mathematics from an abstract, theory-based discipline into a practical tool for solving real-world problems.

요약) 미래 기술의 발전은 해커들의 공격 및 방어 방식에 대한 새로운 변화가 생길 것이다.

장점)

다양한 기술 예시(AI, 양자 컴퓨팅, IoT, 블록체인)를 구체적으로 제시했다.

해커의 공격 기술뿐만 아니라 보안 측면의 대응 전략까지 구체적으로 제시했다.

단어 및 구문)

sophisticated - 정교한, 복잡한

cryptographic - 암호화의

vulnerabilities - 취약점들

decentralization - 탈중앙화

adaptive – 적응하는

push the boundaries of" - ~의 한계를 밀어붙이다 / 확장하다

result in" - ~을 초래하다

stay ahead" - 앞서 나가다, 앞서 대응하다

As a global profession, engineering often requires international collaboration.

English has been established as the de facto medium of communication across the domains of technical documentation, academic research, and professional conferences.

Relying on translators can lead to misunderstandings, especially with technical terms.

Spelling errors, even those that appear trivial, have been shown to cause significant problems in code or design when included in translated content.

Real-time communication with global teams is smoother with direct English proficiency.

For instance, early versions of ChatGPT were more efficient and flexible in English.

This highlights the performance gap when tools are optimized for English first.

The acquisition of English proficiency equips engineers with the capacity to engage with state-of-the-art resources and global professional networks.

Ultimately, strong English skills enhance both innovation and career opportunities.

한글 해석 :

엔지니어는 다양한 산업 분야에서 첨단 기술을 설계하고 개발합니다.

글로벌 전문직으로서 엔지니어링은 종종 국제적인 협력을 필요로 합니다.

영어는 기술 문서, 학술 연구, 전문 학회 분야 전반에서 사실상 공용어로 자리 잡았다.

번역가에 의존하면 오해가 발생할 수 있으며, 특히 기술 용어의 경우 더욱 그렇습니다.

번역된 콘텐츠의 사소한 철자 오류조차도 코드 또는 설계에 심각한 문제를 야기할 수 있다는 것이 밝혀졌습니다.

직접적인 영어 능력 향상을 통해 글로벌 팀과의 실시간 소통이 더욱 원활해집니다.

예를 들어, ChatGPT의 초기 버전은 영어 사용 시 더욱 효율적이고 유연했습니다.

이는 도구가 영어에 먼저 최적화되었을 때 발생하는 성능 격차를 보여줍니다.

영어 능력을 습득하는 것은 엔지니어들이 최첨단 자원과 글로벌 전문 네트워크에 참여할 수 있는 능력을 갖추게 해 줍니다

궁극적으로, 뛰어난 영어 능력은 혁신과 경력 기회를 모두 향상시킵니다.

South Korea's policies to attract foreign patients have led to a surge in medical tourism, bringing benefits like improved healthcare infrastructure and enhanced international recognition.

However, the increase in foreign patients also poses challenges. There is competition for limited medical resources, meaning local patients may face longer waiting times. Additionally, language and cultural differences can cause communication issues between doctors and foreign patients, affecting the quality of care. The lack of clear policies to manage foreign patient care has also led to confusion and inefficiencies within the healthcare system.

To address these issues, it's crucial to find a balance between the economic benefits of attracting foreign patients and providing fair healthcare services to local residents. Effective regulations and greater investment in public healthcare are needed to resolve the dilemma.

In this situation, what matters more than writing code is the ability to understand it—like reading a new language, recognizing its logic, and knowing when and how to use it. Just as a great chef doesn’t need to grow their own vegetables but must know how to choose and cook them well, future developers must know how to select and apply the right technologies for the problem at hand. Creative thinking, adaptability, and strategic decision-making are becoming far more important than memorizing syntax. As technology evolves, our most valuable skill will not be typing lines of code—but thinking beyond them.

불과 몇 년 전까지만 해도 코드를 작성하는 능력은 디지털 세상에서 가장 큰 무기처럼 여겨졌다. 그러나 이제는 인공지능의 발달로, AI가 사람보다 더 빠르고 정확하게 코드를 작성할 수 있게 되었다. 예를 들어, GitHub Copilot이나 Google AutoML 같은 도구는 개발자들이 최소한의 코딩 지식만으로도 프로그램을 만들 수 있게 도와준다. MIT App Inventor나 Bubble 같은 플랫폼을 이용하면 복잡한 앱도 드래그 앤 드롭만으로 만들 수 있다.

이런 환경에서 중요한 것은 더 이상 코드를 ‘작성’하는 능력이 아니라, 코드를 ‘이해’하고 ‘활용’하는 능력이다. 마치 훌륭한 요리사가 직접 채소를 재배하진 않지만, 가장 좋은 재료를 고르고 요리하는 법을 알아야 하듯이, 앞으로의 개발자에게는 다양한 기술 중 어떤 것을 선택해 어떻게 조합할지 판단하는 능력이 필요하다. 창의적인 사고력, 상황에 맞는 유연한 판단력, 전략적인 선택이 단순한 문법 암기보다 훨씬 더 중요해지고 있는 것이다. 기술이 계속 진화하는 지금, 가장 큰 경쟁력은 더 이상 키보드 위의 손가락이 아니라, 그 뒤에서 작동하는 ‘사고력’이다.

한국은 외국인 환자 유치를 위한 정책을 통해 의료 관광이 급증했고, 그로 인해 의료 인프라 발전과 국제적 명성 향상 등의 이점을 가져왔다.

하지만 외국인 환자 수의 증가는 여러 가지 문제를 초래하기도 한다. 제한된 의료 자원을 놓고 현지 환자와 외국인 환자 간 경쟁이 발생하며, 이로 인해 현지 환자들이 더 긴 대기 시간을 겪을 수 있다. 또한 언어와 문화적 차이로 인해 의사와 외국인 환자 간의 소통에 문제가 생길 수 있고, 이는 치료의 질에 영향을 미칠 수 있다. 외국인 환자 치료를 관리하기 위한 명확한 정책 부재도 의료 시스템 내에서 혼란과 비효율을 초래하고 있다.

이 문제를 해결하려면 외국인 환자 유치로 얻는 경제적 이익과 현지 주민에게 공정한 의료 서비스를 제공하는 것 사이의 균형을 맞추는 것이 중요하다. 이를 위해 효과적인 규제와 공공 의료에 대한 더 많은 투자가 필요하다.

요약 ) 자동화와 AI 기술의 발전으로 반복 업무는 로봇이 수행하게 되며, 미래의 간호사는 기술을 활용해 환자 데이터를 분석하고 의사 결정을 내리는 감독자 역할로 변화하게 된다.

장점 ) 단순히 기술 도입에 그치지 않고, 간호사의 역할이 어떻게 구체적으로 변화하는지를 독창적으로 설명을 했다. 그리고 기술 발전이 간호사를 대체하는 것이 아니라 전문성과 책임감을 더욱 요구하는 방향으로 전환된다는 긍정적이고 현실적인 관점을 보여줬다

단어 )

dispense – (약 등을) 나눠주다, 분배하다

intervention – 개입, 중재

supervisor – 감독자, 관리자

ethical – 윤리적인

forecast – 예측하다

구문 )

undergoing a significant transformation – 큰 변화를 겪고 있는

make clinical decisions based on – ~을 기반으로 임상 결정을 내리다

the evolving landscape – 변화하고 있는 환경,상황

이렇게 인공지능이 발달하면서 인공지능을 사용하는 분야가 점차 많아지고 있다.

그 중 화학연구에 인공지능이 미칠 영향에 대해서 궁금해졌고, 인공지능이 화학연구에 가져 올 두 가지 장점을 알아냈다.

첫 번째는, 다양한 화학 반응 예측 시뮬레이션이 가능해졌다.

따라서, 고압 또는 독성 물질이 포함된 화학 반응을 실험할 때 미리 시뮬레이션을 진행하여 반응을 예측한 후 실제 실험을 진행할 수 있기 때문에 실험의 안전성이 높아진다.

두 번째는 데이터 분석의 편리함 증가이다.

인공지능을 통한 데이터 분석은 사람이 실수할 수 있는 부분을 최소화하여 정확성을 높이고, 수작업으로 분석하는데에 많은 시간이 소요되는 대규모 데이터 처리를 더 빠르게 추출해낼 수 있다.

결론적으로 인공지능이 발달함으로써 화학연구에 가져올 이점들로 인해 더 편리하고 안전한 세상을 만들어나갈 수 있다.

다큐멘터리는 사회 문제를 알리고 사람들의 인식을 변화시켜, 실제로 사회적 변화를 이끌어내는 중요한 역할을 한다.

장점 두가지:

• 실제 다큐멘터리를 예로 들어 다큐멘터리가 어떻게 사회적 변화를 촉발하는지 명확하게 설명하고 있어 독자가 이해하기 쉽다.

• 다큐멘터리가 감정을 자극하는 동시에 사실적인 정보를 전달함으로써 사람들의 행동을 이끌어낸다는 점을 강조, 사회적 변화를 촉진하는 두 가지 핵심 요소를 잘 다루고 있다.

모르는 단어:

드러난, 노출된 exposed

인식, 지각 perceptions

범고래 orca

격분 outrage

중요한 significant

모르는 구문:

Documentaries are more than just visual content. 비교급형태가 쓰이고 있다.

It is important for us to listen to diverse voices through documentaries.

진주어,가주어 형태가 쓰이고있다.

By delivering emotional stories and factual information.

전치사 by가 쓰이고있다.

: 양자 컴퓨팅이 천문학 연구에 미칠 영향

2. 요약 1문장 (한글)

: 양자 컴퓨팅은 기존 슈퍼 컴퓨터의 한계를 극복하여 천문학 연구의 수준을 발전시킬 수 있다.

3. 이 글의 장점 2가지 (한글)

• 양자 컴퓨팅의 개념과 천문학 연구에 미칠 영향 등 기술적 개념을 설명할 때 용어의 정의와 예시가 적절히 활용되어 이해를 도왔다.

• 서론, 본론, 결론의 구성으로 주제를 체계적으로 설명하였다.

4. 모르는 단어 5개, 구문 3개

• 단어

1. quantum: 양자

2. calculation: 계산

3. precisely: 정확하게

4. exoplanet: 외계 행성

5. collision: 충돌

• 구문

1. Quantum computing is based on the principles of quantum mechanics.
    → be based on: ‘~에 기반하다’라는 수동태 표현

2. It uses quantum bits, or qubits, which can represent both 0 and 1 at the same time.
    → 관계대명사 which: 선행사(qubits)를 수식

3. Once it becomes more practical, it will likely revolutionize how astronomers conduct research.
    → 조건 부사절 (Once ~) + 미래시제 (will + 동사): 조건이 충족되었을 때 미래에 어떤 일이 일어날지를 설명하는 구조

Recent advances in artificial intelligence technology in the healthcare industry are changing the role of nurses. Healthcare AI's patient data analytics and monitoring systems can positively impact nurses' work.

Typically, AI is used to analyze patient data in real time and predict disease or detect changes in a patient's condition. This enables nurses to better manage patients and react quickly to dangerous situations. For example, an AI system that monitors a patient's condition in real time analyzes data such as heart rate, blood pressure, and temperature and alerts nurses if it detects any abnormalities. These systems can pick up on subtle changes that humans might otherwise miss, allowing nurses to react instantly, increasing the likelihood of a quick response in an emergency and saving a patient's life.

AI can also reduce repetitive tasks for nurses. For example, recording patient data, creating reports, and other tasks are time-consuming and labor-intensive, but AI can automate them. This allows nurses to spend more time on direct patient care and reduces fatigue from simple repetitive tasks.

In this way, AI can play an important role in making nurses more efficient and improving the quality of patient care. However, the human role of nurses is still essential in healthcare, so the nurses of the future with AI will be able to combine technology and human care to create a better healthcare environment.

<AI 기술 발전에 따른 간호사 역할의 변화>

최근 의료계에서 인공지능 기술의 발전은 간호사의 업무에 많은 변화를 일으키고 있습니다. 의료 AI의 환자 데이터 분석 기술과 모니터링 시스템은 간호사의 업무에 긍정적인 영향을 줄 수 있습니다.

대표적으로 AI는 환자의 데이터를 실시간으로 분석하고 질병을 예측하거나 환자의 상태 변화를 감지하는 데 사용됩니다. 이는 간호사들이 환자를 더 효육적으로 관리하고 위험 상황에 빠르게 대처할 수 있게 만듭니다. 예를　들어，　환자의　상태를　실시간으로　모니터링　하는　AI　시스템은　심박수，　혈압，　체온　등의　데이터를　분석해　이상　징후를　발견하면　간호사에게　경고를　줍니다．이러한　시스템은　인간이　놓치기　쉬운　미세한　변화를　잡아내어　간호사들이　즉각적으로　대응할　수　있도록　도와　응급상황에서　빠른　대처가　가능해져　환자의　생명을　구할　확률이　높아집니다．또한 AI는 간호사들의 반복적인 업무를 줄여주는 역할도 합니다. 예를 들어, 환자의 데이터를 기록하고, 보고서를 작성하는 등의 업무는 시간과 노동력이 많이 소모되지만 AI가 이를 자동화할 수 있습니다. 이는 간호사들이 직접적인 환자 케어에 더 많은 시간을 투자할 수 있게 하고, 단순한 반복 작업으로 인한 피로도를 줄여줍니다.

이처럼 AI가 간호사의 업무 효율성을 높이고, 환자 돌봄의 질을 향상시키는 데 중요한 역할을 할 수 있습니다. 그럼에도 간호사의 인간적 역할은 여전히 의료 현장에서 필수적이기 때문에 AI와 함께하는 미래의 간호사는 기술과 인간적 케어를 결합하여 발전한다면 더 나은 의료환경을 만들어갈 수 있을 것입니다.

인공지능의 부상은 소프트웨어 개발자의 의미 자체를 근본적으로 재정의하고 있다.

가까운 미래의 개발자는 단순히 코드를 작성하는 것을 넘어서, 데이터와 AI의 힘을 활용해 현실의 문제를 해결하게 될 것이다.

기계가 반복적인 작업을 처리하게 되면서, 삶을 바꾸는 기술의 중심에는 창의성과 혁신이 자리 잡게 될 것이다.

이런 변화 속에서 진정으로 중요한 것은 기계가 답할 수 없는 질문을 던지고 비판적으로 사고하는 능력이 될 것이다.

또한 개발자는 다양한 분야의 사람들이 협업하는 융합형 팀 안에서 함께 일하며, 더 똑똑하고 의미 있는 시스템을 만들어야 한다.

더 나아가 기술이 일상에 깊숙이 스며들수록, 사회를 움직이고 개인의 결정에 영향을 미치는 소프트웨어를 만들 때 요구되는 윤리적 책임감도 함께 커질 것이다.

결국 이 새로운 시대에 성공할 개발자는 기술적 역량뿐 아니라 공감 능력, 호기심, 그리고 책임감을 겸비한 사람이 될 것이다.

요약하자면, 소프트웨어 직업은 점점 덜 인간적인 것이 아니라, 오히려 더 인간적인 방향으로 진화하고 있다.

요약: 소아와 노인은 약물 흡수, 대사, 배설 과정에서 생리학적 차이를 보여 서로 다른 약물 반응을 나타낸다.

장점:

1) ‘Therefore’, ‘In addition’ 등의 부사를 첨가하여, 체계적으로 구성함.

2) 설명에 대한 구체적인 예를 제시함으로써, 깊이있는 이해를 도움.

모르는 단어 (5개):

- immaturity 미성숙

- hepatic 간(liver)의

- renal 신장(kidney)의

- soluble 용해가능한

- excreation 배설

구문:

1) , which 계속적 용법 사용

In contrast, elderly patients experience reduced hepatic blood flow and declining renal function<<, which weakens the first-pass effect and increases the risk of elevated plasma concentrations of certain drugs, such as propranolol and diazepam.>>

2) 분사구문 사용 (, V-ing)

In addition, children have a higher body water percentage, which leads to greater distribution of water-soluble drugs (e.g., amino glycoside antibiotics), whereas older adults have a higher body fat percentage<<, increasing the likelihood of long-term accumulation of lipid-soluble drugs (e.g., benzodiazepines).>>

3) 관계 대명사절 사용 (선행사 + that + 불완전 문장)

Compared to the general adult population, children and the elderly have <<distinct physiological characteristics that directly affect the processes of drug absorption, distribution, metabolism, and excretion.>>

단순한 기술 변화 나열이 아니라, 미래 직업의 역할 변화까지 구체적으로 예측하며 글의 흐름이 매우 자연스럽고 기술자 = 코딩하는 사람이라는 고정관념을 깨고, ‘책임 있는 창조자’라는 새로운 정체성을 제시해 독자의 시선을 끌고 깊이 있는 생각을 유도했다

Transformation 변화

Essential 필수적인

Interdisciplinary 여러분야가 융합된

Ethical 윤리적인

Repetitive 반복적인

that + 주어 + 동사 (관계대명사 that을 이용한 절)
Creativity and innovation will emerge as the true driving forces behind the technology that changes lives.

What truly matters is...
What truly matters will be the ability to think critically and ask questions that machines cannot answer.

who + 동사 (관계대명사 who를 이용한 사람 묘사)
the developers who thrive in this new era

요약 : 인공지능 발달이 화학연구에 가져올 이점들로 인해 더 편리하고 안전한 세상을 만들 수 있다.

장점

1. 주장에 대한 근거가 드러나있다.

2. 글의 내용을 정리하는 결론이 드러나있다.

모르는 단어

1. curious 호기심 있는

2. substance 물질

3. convenience 편리함

4. accuracy 정확성

5. extract 추출하다

구문

1. Therefore, when testing a chemical reaction containing high-pressure or toxic substances, the safety of the experiment is increased because simulation can be performed in advance to predict the reaction. 에서 when으로 시작하는 시간의 부사절이 사용되었다.

2. Data analysis through artificial intelligence can increase accuracy by minimizing what humans can make mistakes, and extract large-scale data processing that takes a lot of time to analyze faster. 에서 fast의 비교급 faster이 사용되었다.

3. In conclusion, the development of artificial intelligence can create a more convenient and safe world due to the benefits that can bring to chemical research. 에서 benefits을 꾸며주는 주격관계대명사 that이 사용되었다.

Modern architecture is increasingly adopting biomimetic architecture to address challenges such as climate change and resource depletion. Biomimetic architecture draws inspiration from natural structures and processes to enhance energy efficiency and sustainability in buildings. Notable examples include buildings that incorporate the ventilation system of termite mounds or space-efficient designs inspired by honeycomb structures. These structures can generate their own energy, cultivate food, and manage waste, contributing to the development of sustainable cities. A prime example is Agora Garden in Taiwan, which applies a DNA double-helix structure to create an eco-friendly building that purifies the air and produces food.
At the same time, the role of architects is expanding beyond traditional design to include environmental planning, technological innovation, and urban ecology. Architects must collaborate with experts in biology, environmental engineering, and data science to develop sustainable building solutions. Additionally, the integration of artificial intelligence, smart systems, and self-healing construction materials is becoming increasingly essential in modern architecture. Future cities must be designed in harmony with nature, and biomimetic architecture provides a compelling model for eco-friendly, self-sustaining urban development. As a result, architects must evolve into multidisciplinary experts, combining creativity with advanced technological expertise.

요약: 미래 기술의 발전은 간호사의 업무 방식과 역할에 큰 변화를 가져올 것이다.

장점:

• 구체적인 예시 제시: 인공지능, 로봇, 원격 의료 등 실제 기술 사례를 통해 간호사의 변화된 역할을 구체적으로 설명하여 이해를 돕는다.

• 균형 잡힌 시각: 기술 발전이 간호사의 업무를 효율적으로 만들지만, 인간적인 돌봄의 중요성은 여전히 유지된다는 점을 강조해 깊이 있는 관점을 말한다.

모르는 단어: diagnoses(진단하다), diagnostics(진단), enhance(높이다), integration(통합), tailored(맞추다)

모르는 구문:

• enable + 목적어 + to동사 대신 분사구문 enabling을 사용

• thereby + 동명사

• remain at the core of ~

As technology evolves, our most valuable skill will not be typing lines of code—but thinking beyond them.

기술이 계속 진화하는 지금, 가장 큰 경쟁력은 더 이상 키보드 위의 손가락이 아니라, 그 뒤에서 작동하는 ‘사고력’이다.

장점

1. 머신러닝과 수학의 접점을 다룬 내용은 최신 기술 흐름과 연결되어 있어서 많은 사람이 관심을 가질법 한 글이다.

2. Ai, 수학, 교육이라는 다양한 키워드를 담았음에도 글에 흐름이 괜찮고, 이론뿐 아니라 실생활에서의 변화까지 고려한 폭넓은 시각을 보여준다.

2. minimal – 최소한의

3. drag-and-drop – 끌어서 놓기(그래픽 사용자 인터페이스에서 사용되는 조작 방법)

4. syntax – 문법, 구문(프로그래밍 언어의 문법 구조)

5. adaptability – 적응력

요약 : 영어는 글로벌 소통과 기술 활용을 위한 필수 도구이므로, 엔지니어는 영어를 반드시 익혀야 한다.

글의 장점 :

• 문제 제기 → 한계점 설명 → 사례 제시 → 결론 도출 순으로 전개되어 논리적으로 깔끔함.

• 구체적 사례를 들어 설득력을 강화함.

단어 5개

• Industry- 산업

• collaboration – 협업

• documentation – 기술 문서

• proficiency – 숙련도, 능숙함

• Ultimately - 궁극적으로

구문 3개

• English has been established as the de facto medium of communication across the domains of technical documentation, academic research, and professional conferences. :( has been established as: 수동태 + 현재완료, de facto : 사실상)

• The acquisition of English proficiency equips engineers with the capacity to engage with state-of-the-art resources and global professional networks. : (equips A with B: ~에게 ~을 갖추게 하다.)

• Spelling errors, even those that appear trivial, have been shown to cause significant problems in code or design when included in translated content. : (even those that appear trivial : 관계절, have been shown: 현재완료 수동태, when included… : 조건절)

“Just as a great chef doesn’t need to grow their own vegetables…”라는 문장에서 볼 수 있듯이, 어려운 기술 개념을 요리사에 비유함으로써 누구나 쉽게 이해할 수 있게 도움. 비유를 통해 복잡한 주제를 직관적으로 전달하려고 햇음.

2. 구체적인 예시를 통한 설득력 강화

GitHub Copilot, Google AutoML, MIT App Inventor, Bubble 같은 실제 도구들을 언급함으로써, 주장에 대한 근거를 구체화하고 독자의 공감을 유도함.

• 현재완료 시제(has suggested) + 과거완료(had not been discovered) → 시점 차이를 명확히 표현

• 관계대명사 that / which:

  • that had not been discovered by humans → 과거완료 수동태

  • some of which have been formally proven → 전치사 + 관계대명사 구문

• 수동태(have been proven) → 어떤 주체에 의해 행위가 일어남을 나타냄

  
  

"Traditionally, mathematics has progressed through human logic and proof, but machine learning finds new mathematical relationships through prediction and pattern recognition based on vast amounts of data."

• 현재완료 시제(has progressed) → 과거부터 현재까지의 변화 강조

• through + 명사 → 수단/방법을 나타내는 전치사 구문

• based on + 명사 → ~에 기반하여 → 분사구문

• but → 대조 연결어 사용

"The development of machine learning is bringing about a fundamental change in the nature and role of mathematics."

• 현재진행형(be + ~ing) → is bringing about
  → 변화가 진행 중임을 나타냄.

• bring about: 무언가를 초래하다, 야기하다 → 원인/결과 구문

단어

Fundamental 근본적인

Complement 보완하다

Combinatorics 조합론

Intuition 직관

Advent 출현

요약 1문장 : 생체모방 건축은 자연의 원리를 적용하여 지속 가능한 도시를 구축하며, 건축가는 창의성과 기술 융합 능력을 갖춘 미래형 건축 전문가로 거듭나야 한다.

이 글의 장점 2가지 : 글이 개념 소개 → 사례 분석 → 영향 → 건축가의 역할 변화 순으로 논리적으로 전개되어 독자가 쉽게 이해할 수 있다.

불필요한 내용 없이 생체모방 건축의 특징과 사례를 간결하게 정리하여 핵심 정보를 효과적으로 전달한다.

모르는 단어 5개

biomimetic : 생체 모방의

ventilation : 환기

DNA doubl-helix structure : DNA 이중 나선 구조

purify : 정화하다

multidisciplinary : 다학제적

구문 3개

1. A prime example is Agora Garden in Taiwan, which applies a DNA double-helix structure to create an eco-friendly building that purifies the air and produces food.

which applies a DNA double-helix structure… → 선행사 "Agora Garden"을 수식하는 관계대명사절

that purifies the air and produces food → 선행사 "an eco-friendly building"을 수식하는 관계대명사절

2. Biomimetic architecture draws inspiration from natural structures and processes to enhance energy efficiency and sustainability in buildings.

to + 동사원형 구조를 사용하여 목적을 나타낸다.

3. Future cities must be designed in harmony with nature.

조동사(must) + be + 과거분사(designed) 형태로, 미래 도시가 자연과 조화를 이루도록 설계되어야 함을 강조한다.

The fusion of artificial intelligence (AI) and synthetic biology is transforming drug discovery by overcoming traditional limitations of time and cost. Synthetic biology enables the design of microorganisms with custom metabolic pathways, while AI accelerates data analysis and experimental optimization. For example, Moderna utilized AI to optimize mRNA sequences for COVID-19 vaccines, reducing development time from years to months—a feat impossible with conventional methods.

Central to this synergy is the Design-Build-Test-Learn (DBTL) cycle, where AI models predict optimal genetic designs and robotic systems automate experiments. AlphaFold, an AI tool, has revolutionized protein structure prediction, enabling precise drug targeting. Companies like MolzenBio now employ AI to identify rare microbial compounds, which synthetic biology engineers mass-produce through CRISPR-edited bacteria.

This convergence offers unmatched efficiency: AI narrows drug candidates from 100,000 to 1,000, while automated biofoundries cut costs by 70% through high-throughput testing. Challenges like data noise and ethical concerns persist, yet the future is promising. Nations like South Korea are investing in digital-bio strategies, paving the way for personalized medicines and rare disease therapies.

Korean Translation
인공지능과 합성생물학: 신약 개발의 혁신적 융합

인공지능(AI)과 합성생물학의 결합은 시간과 비용이라는 전통적 한계를 극복하며 신약 개발을 혁신하고 있습니다. 합성생물학은 맞춤형 대사 경로를 가진 미생물을 설계하고, AI는 데이터 분석과 실험 최적화를 가속화합니다. 예를 들어, 모더나는 COVID-19 백신을 위해 mRNA 서열을 최적화해 개발 기간을 수년에서 수개월로 단축했으며, 이는 기존 방식으로는 불가능한 성과입니다.

이 협업의 핵심은 DBTL(설계-제작-테스트-학습) 사이클로, AI 모델이 최적의 유전자 설계를 예측하고 로봇 시스템이 실험을 자동화합니다. AlphaFold는 단백질 구조 예측을 혁신해 정밀한 약물 표적 발굴을 가능케 했습니다. 몰젠바이오와 같은 기업은 AI로 희귀 미생물 화합물을 식별하고, 합성생물학 기술로 CRISPR을 이용해 대장균에 삽입하여 대량 생산합니다.

이 융합 기술은 비교할 수 없는 효율성을 제공합니다: AI는 약물 후보물질을 10만 개에서 1,000개로 압축하고, 자동화된 바이오 파운드리는 대량 실험으로 비용을 70% 절감합니다. 데이터 노이즈와 윤리적 문제는 여전히 남아있지만, 미래는 밝습니다. 한국을 비롯한 여러 국가는 맞춤형 의약품과 희귀 질환 치료제 개발을 위한 디지털 바이오 전략에 투자하고 있습니다.

1. 서론

• 주제 소개: AI와 합성생물학의 융합이 신약 개발 프로세스를 혁신하는 방식.

• 중요성: 기존 10~15년 소요되던 신약 개발 기간을 단축하고 맞춤형 치료제 개발 가능성 확대.

2. 핵심 기술 설명

• 합성생물학:

  • 유전자 설계(CRISPR), 대사 경로 최적화, 인공 미생물 제작.

• AI의 역할:

  • 유전체 데이터 분석, 단백질 구조 예측(AlphaFold), 실험 자동화(DBTL 사이클).

3. 실제 적용 사례

• mRNA 백신 개발: 모더나의 COVID-19 백신 사례 (개발 기간 1년 이내).

• 미생물 유래 신약: 몰젠바이오의 AI 기반 희귀 화합물 탐색 및 합성생물학적 대량 생산.

• 대사 경로 설계: 아르테미시닌 생산 효모의 효율 10배 향상 사례.

4. 기술적 장점

• 효율성: AI를 통한 후보 물질 필터링 (10만 개 → 1,000개).

• 비용 절감: 바이오 파운드리의 자동화 시스템으로 실험 비용 70% 감소.

• 정밀도: AlphaFold로 단백질 3D 구조 예측 정확도 극대화.

5. 도전 과제

• 데이터 품질: 생물학적 데이터의 노이즈와 불완전성.

• 규제 장벽: 유전자 변형 미생물의 환경 유출 위험에 대한 국제적 규제 부재.

6. 미래 전망

• 맞춤형 의약품: 환자 유전체 기반 개인별 치료제 개발.

• 국가적 투자: 한국의 디지털 바이오 전략을 포함한 글로벌 R&D 동향.

7. 결론

• 핵심 요약: AI와 합성생물학의 융합이 신약 개발의 패러다임을 재편 중임.

• 전망: 의료뿐만 아니라 농업, 환경 분야까지 기술 확장 가능성.

요약: 인공지능(AI)과 로봇 기술의 발전은 간호사의 역할, 특히 환자와의 상호작용에 변화를 가져오고 있다.

장점

1.주제가 직접적으로 드러나있어 쟁점을 찾기 쉽다

2.예시문이 있어 앞글을 뒷받침하여 이해가 쉽다

interaction:상호작용

provision:제공

aim to:~하는 것을 목표로 하다

drug:약물

utilize:활용하다

However, there are also concerns that face-to-face interactions are reduced due to increased reliance on technology, which can give patients a sense of isolation.

which-관계대명사절 종속절(불완전한 문장, 생략할 수 없음): 앞 문장 전체(기술에 대한 의존 증가와 대면 감소)를 받아 설명

Nurses must balance maintaining personal relationships with patients while utilizing technology, and ensure that patients feel physically and emotionally cared for.

must balance A while B, and ensure C

이 문장은 두 개의 주요 동작을 연결한 병렬 구조를 이룬다.

(Advances in artificial intelligence (AI) and robot technology are bringing about changes in the role of nurses, especially their interactions with patients ) be-ing, 동명사 구문이 써였다

요약: 인공지능 기술의 발전은 간호사의 반복 업무를 줄이고 환자 상태를 실시간으로 모니터링하는 것을 가능하게 하여 업무 효율성과 돌봄의 질을 높이며, 인간적 케어와의 조화를 통해 더 나은 의료환경을 가능하게 한다.

이 글의 장점 2가지

1. 1. 적절한 연결어 사용으로 글의 문단 간 논리적 연결이 자연스럽다.

2. 2. 심박수, 혈압, 체온 등의 실시간 분석이나 보고서 자동화 등 실제 상황을 떠올릴 수 있는 에씨를 사용해 내용의 신뢰성과 설득력을 높였다.

모르는 단어 5개

abnormalities: 이상

fatigue: 피로

patient: 환자

repetitive: 반복적인

analytic; 분적적인

구문3 개

be used to +동사원형: ~하는 데 사용되다

->Typically, AI is used to analyze patient data in real time and predict disease or detect changes in a patient's condition.

allow A to B: A가 B할 수 있도록 하다

->This enables nurses to better manage patients and react quickly to dangerous situations.

combine A to B:A와 B를 결합하다

->However, the human role of nurses is still essential in healthcare, so the nurses of the future with AI will be able to combine technology and human care to create a better healthcare environment.

이 글의 장점 2가지)

1. 균형 잡힌 시각 제공

이 글은 외국인 환자 유치의 긍정적인 측면(의료 인프라 개선, 국제적 위상 강화)과 부정적인 측면(의료 자원 경쟁, 국내 환자 피해 등)을 함께 다루며 균형 잡힌 시각을 보여줍니다.

➤ 독자가 한쪽에 치우치지 않고 전반적인 이해를 할 수 있게 해주는 장점이에요.

2. 문제 해결을 위한 구체적 제안 제시

단순히 문제점만 나열하지 않고, "효과적인 규제 마련"과 "공공의료 투자 확대" 같은 실질적인 해결 방안을 제시하고 있어요.

➤ 독자가 "그래서 어떻게 해야 하지?"라는 궁금증을 갖지 않도록 해주는 실용적인 글입니다.

쓰인 주요 구문 3가지)

1. "This surge in foreign patients also presents a number of challenges, which local residents may experience longer waiting times and reduced access to care."

which: 관계대명사, 앞의 a number of challenges를 설명하는 역할.

선행사: "a number of challenges"

계속적용법: 관계대명사 which는 앞 문장의 명사를 구체적으로 설명하거나 추가적인 정보를 제공할 때 사용된다.

2. "To address these challenges, it is essential to strike a balance..."

• To address these challenges: 목적을 나타내는 to부정사 부사구

• it is essential: 형식주어 + 형용사 (진주어는 뒤에 있음)

• to strike a balance...: 진주어 역할을 하는 to부정사

It is + 형용사 + to부정사 → "~하는 것은 ~하다"

3. "as more foreign patients seek treatment"

as + 주어 + 동사 → "~함에 따라, ~할수록" 이 구문은 부사절을 만들고, 문장의 시간 흐름이나 원인을 설명할 때 자주 쓰인다.

모르는 단어)

1. infrastructure (사회 기반) 시설

2. pose (문제·위협 등을) 제기하다, 일으키다

3. efficiency / inefficiency 효율성 / 비효율성

4. obligation 의무, 책임

5. equitable 공정한, 공평한

— 메타버스 속 간호실습: 현실을 대체할 수 있을까?

고령화 사회에서 간호의 역할과 윤리적 딜레마

Thank you.

Meaning of EdTech
Hello. Today, I will introduce EdTech.
EdTech is a combination of Education and Technology. It refers to using IT technologies to make education more efficient and enjoyable.
Representative companies include QANDA, Megastudy, and Class101.

Introduction to EdTech Technologies
First, let me give an example of an AI-based math problem-solving service.
When a user takes a photo of a problem, AI automatically recognizes the problem area and extracts the text using OCR technology.
Then, using a deep learning-based similarity analysis model, it finds similar problems and immediately provides existing explanations if available.
If there are no similar problems, the user is connected to a real-time tutoring system and can receive detailed explanations via chat within 10 minutes.

Roles of EdTech Employees
In EdTech companies, various departments collaborate to develop services.
The development team builds apps, AI systems, and handles data analysis.
The education content team plans problems and content based on the curriculum, and the design team creates UI and visual elements.
The marketing team manages digital promotions, while the operations team handles customer support and learning history management.
The strategy team analyzes the market and sets business directions, and the sales team works with educational institutions and partners.

Educational Effects of EdTech
EdTech helps students develop self-directed learning skills.
AI systems recommend content suited to students’ levels and encourage repeated practice for thorough understanding.
Multimedia and interactive content create an immersive learning environment.
Additionally, EdTech analyzes students’ weak points and mistakes to enable efficient supplementary learning.

Limitations of EdTech
However, EdTech has limitations.
Students lacking self-management skills may have difficulty concentrating or may stop learning altogether.
EdTech cannot fully replace the emotional and social roles of teachers.
The lack of human interaction such as encouragement, empathy, and motivation may cause students to give up easily when their motivation drops.

Skills Required for EdTech Teachers
EdTech teachers must have digital literacy.
They need to be proficient in basic computer skills, AI tutors, LMS, and video conferencing tools.
They should also be able to analyze students’ academic achievements and weaknesses based on data.
Moreover, teachers must design educational content suited to students’ levels and create engaging lessons using videos, quizzes, and simulations.
Finally, they need creative problem-solving skills and the ability to integrate subject knowledge with IT flexibly.

Qualifications Required for EdTech Teachers
To become an EdTech teacher, having a degree in education or teacher training is essential.
Teachers in elementary, middle, and high schools must graduate from education departments, teacher colleges, or teacher training programs and pass certification exams.
Having IT and computer knowledge increases competitiveness in the EdTech environment.
Basic coding, data analysis, and digital tool skills are helpful for managing personalized education systems and creating digital content.

Future Prospects of EdTech
In the future, EdTech is expected to grow rapidly based on AI, virtual reality (VR), and augmented reality (AR) technologies.
Immersive learning using VR and AR provides realistic educational experiences.
Microlearning and digital badges are spreading as short and focused learning methods.
Hybrid learning models combining online and offline education are gradually being established, and the global EdTech industry continues to grow with ongoing investment.

1. Introduction
Hello, everyone. I’m Kim Aryeong from class 3706, and today I’ll be presenting on the topic: “How Glycation and AGEs Damage the Body: The Link Between Diabetes and Chronic Inflammation.”

2. Why This Topic Matters
Diabetes is not just a disease of high blood sugar—it is a complex disorder that causes widespread damage throughout the body. In particular, AGEs, or Advanced Glycation End-products, have recently gained attention as key mediators in chronic inflammation, aging, cardiovascular disease, and more. While preparing this presentation, I wanted to go beyond textbook knowledge and explore how AGEs affect real clinical outcomes and why they’re becoming important therapeutic targets.

3. What is Glycation?
Glycation is a non-enzymatic reaction where reducing sugars like glucose bind to proteins, lipids, or nucleic acids. This process occurs more frequently when blood sugar levels are high and becomes more pronounced over time. Since this reaction is not enzyme-controlled, our body cannot regulate it—leading to the formation of AGEs. In contrast, glycosylation is an enzyme-driven and essential physiological process. Understanding this distinction helps explain why glycation becomes a serious issue in diabetic patients.

4. Formation of AGEs
AGEs are formed through a series of chemical reactions known as the Maillard reaction. First, a sugar reacts with a protein to form a Schiff base, which rearranges into an Amadori product. These intermediates undergo further complex reactions to become AGEs. High blood glucose levels and oxidative stress accelerate this process. Recent studies show that AGEs can bind not only to proteins, but also to DNA and lipids, disrupting essential cellular functions.

5. What Are AGEs?
Once formed, AGEs are difficult to break down and tend to accumulate in various tissues, causing long-term damage. Key AGEs include carboxymethyllysine (CML) and pentosidine, which commonly build up in vascular endothelium, kidney glomeruli, and retinal tissues. These AGEs deform protein structures, reduce enzyme activity, disrupt signaling pathways, and promote cellular aging—all of which impair tissue function.

6. The RAGE Pathway
The most critical receptor for AGEs is called RAGE—Receptor for Advanced Glycation End-products. When AGEs bind to RAGE, the NF-κB signaling pathway is activated, increasing the expression of inflammatory genes and promoting the production of reactive oxygen species (ROS). This leads to endothelial damage, immune cell overactivation, and tissue fibrosis. RAGE is expressed in many organs, including the brain, lungs, and blood vessels, which explains the widespread systemic effects of AGEs. Targeting RAGE has thus emerged as a potential therapeutic strategy.

7. AGEs and Chronic Inflammation
The interaction between AGEs and RAGE triggers chronic low-grade inflammation. This process involves the release of pro-inflammatory cytokines like IL-6, TNF-α, and CRP, leading to insulin resistance, vascular damage, and immune dysfunction. The AGEs-RAGE axis is now recognized as a shared pathological mechanism not only in diabetes but also in Alzheimer’s disease, chronic kidney disease, and cardiovascular disorders. AGEs serve as a molecular link between metabolic imbalance and chronic disease progression.

8. Long-Term Effects on Organs
AGE accumulation affects many organs, leading to serious clinical complications. In blood vessels, AGEs promote atherosclerosis. In the kidneys, they contribute to proteinuria and renal failure. In the eyes, AGEs in retinal vessels can cause diabetic retinopathy, increasing the risk of blindness. Recent studies also suggest that AGEs compromise the blood-brain barrier, elevating the risk of dementia and neurodegenerative diseases.

9. How to Prevent AGE Formation
To reduce AGE formation, strict blood glucose control is essential. Diets rich in antioxidants—such as vitamin C, vitamin E, and polyphenols—can also help. It’s important to avoid high-temperature cooking methods like frying and grilling. Studies show that the Mediterranean diet and DASH diet can reduce AGE accumulation. Pharmacologically, AGE inhibitors like aminoguanidine and pyridoxamine are under investigation, and drugs known as AGE breakers (e.g., alagebrium) are being tested for their ability to degrade existing AGEs.

10. Ongoing Research
Research into AGEs is rapidly expanding. Current studies include using blood AGE levels as early diagnostic biomarkers, developing RAGE inhibitors, and designing drugs that directly degrade AGEs. As AGEs have been implicated in cancer, Alzheimer’s disease, and heart failure, targeting AGEs is becoming a promising direction for future medical breakthroughs. Personally, I found this topic fascinating, as it reveals how AGE research is extending beyond diabetes to the broader field of chronic disease therapy.

11. Conclusion
To summarize, AGEs are harmful byproducts formed under hyperglycemic conditions. They are key mediators of chronic inflammation and tissue damage, linked to both diabetic complications and other long-term illnesses. The formation, accumulation, and receptor-mediated actions of AGEs highlight their critical role in disease progression. With ongoing research and therapeutic innovation, we may eventually move beyond blood sugar control to fundamentally prevent and treat chronic diseases. This topic has truly inspired me to continue exploring the role of AGEs in future studies.

Thank you for listening.

Korean:

1. How Glycation and AGEs Damage the Body: The Link Between Diabetes and Chronic Inflammation

안녕하세요, ‘당화와 AGEs(Advanced Glycation End-products)가 어떻게 만성 염증과 당뇨 합병증을 유발하는지’에 대해 발표하게된 3706 김아령입니다.

2. Why this topic matters?

당뇨병은 혈당이 높아지는 단순한 질환이 아니라, 우리 몸 전체에 걸쳐 다양한 장기 손상을 일으키는 복합적 질병입니다. 특히 AGEs는 최근 들어 만성 염증, 노화, 심혈관 질환 등 여러 질환의 핵심 매개체로 주목받고 있죠. 저 역시 이 발표를 준비하면서, 단순히 교과서적 지식이 아니라, 실제로 임상에서 어떤 문제가 발생하는지, 그리고 왜 AGEs가 치료 타깃이 되는지 궁금증을 갖고 깊이 탐구하게 되었습니다.

3. What is Glycation?

당화(Glycation)는 포도당 등 환원당이 단백질, 지질, 핵산과 비효소적으로 결합하는 과정입니다. 이 반응은 혈당이 높을수록, 그리고 시간이 지날수록 더 많이 일어납니다. 특히, 당화는 효소가 관여하지 않기 때문에 우리 몸이 조절할 수 없고, 그 결과로 생성되는 물질이 바로 AGEs입니다. 반면, 글리코실화(glycosylation)는 효소에 의해 조절되는 정상 생리적 과정으로, 당화와는 본질적으로 다릅니다. 이 차이를 이해하면서, 왜 당뇨 환자에서 AGEs 축적이 훨씬 심각한 문제로 이어지는지 알아보도록 하겠습니다.

4. Formation of AGEs

AGEs의 형성은 ‘마이야르 반응(Maillard reaction)’이라는 반응이 수반됩니다. 먼저, 당과 단백질이 만나 ‘쉬프 염기(Schiff base)’를 만들고, 이것이 ‘아마도리 산물(Amadori product)’로 전환된 뒤, 다양한 화학 반응을 거쳐 최종적으로 AGEs가 생성됩니다. 특히, 체내에서는 혈당이 높을수록, 그리고 산화 스트레스가 클수록 AGEs가 더 많이 만들어지게 됩니다. 최근 연구에서는, AGEs가 단백질 뿐 아니라 DNA, 지질과도 결합하여 세포 기능을 근본적으로 교란한다는 사실이 밝혀지기도 했습니다.

5. What are AGEs?

이 AGEs는 한 번 생성되면 체내에서 분해가 어렵고, 다양한 조직에 축적되어 장기적 손상을 유발합니다. 대표적인 AGEs로는 카르복실메틸라이신(CML), 펜토시딘 등이 있으며, 이것들은 혈관 내피세포, 신장 사구체, 망막 등 혈류가 풍부한 조직에 주로 쌓입니다. 이때 AGEs는 단백질의 구조를 변형시키고, 효소 활성 저하, 신호전달 장애, 세포 노화 촉진 등 다양한 방식으로 조직 기능을 저해합니다.

6. The RAGE Pathway

AGEs의 가장 중요한 표적 수용체는 RAGE(Receptor for Advanced Glycation End-products)입니다. AGEs가 RAGE에 결합하면, NF-κB 신호전달 경로가 활성화되어 염증성 유전자 발현이 증가하고, ROS(활성산소종) 생성이 촉진됩니다. 이로 인해 혈관 내피세포 손상, 면역세포의 과활성화, 조직 섬유화 등이 일어나게 되는 것이죠. 특히, RAGE는 뇌, 폐, 혈관 등 다양한 조직에 발현되어 있어, AGEs의 전신적 영향력이 매우 큽니다. 이 때문에 최근에는 RAGE 억제제가 새로운 치료의 타깃으로 연구되고 있기도 합니다.

7. AGEs and Chronic Inflammation

AGEs와 RAGE의 결합은 단순한 염증 반응을 넘어서, ‘만성 저등급 염증(chronic low-grade inflammation)’을 유발합니다. 이 과정에서 IL-6, TNF-α, CRP 등 다양한 염증성 사이토카인이 분비되고, 이로 인해 인슐린 저항성, 혈관 손상, 면역계 교란 등도 발생합니다. 실제로, AGEs-RAGE 축은 당뇨 뿐 아니라, 알츠하이머병, 만성 신부전, 심혈관 질환 등 다양한 만성 질환의 공통된 병리 기전으로 제시되고 있습니다. 이 부분에서 AGEs가 단순히 당뇨 합병증의 원인을 넘어, 만성 질환의 분자적 연결고리임을 드러내기도 합니다.

8. Long-term Effects on Organs

AGEs는 혈관, 신장, 망막 등 다양한 장기에 누적되어, 실제 임상적으로 심각한 합병증을 유발합니다. 예를 들어, 앞서 말했듯 혈관 내피세포에 AGEs가 축적되면, 죽상동맥경화증이 촉진되고, 신장 사구체에 쌓이면 단백뇨와 신부전이 발생합니다. 망막 혈관에 AGEs가 침착되면, 망막병증으로 실명 위험이 높아집니다. 최근 연구에서는 AGEs가 뇌혈관 장벽을 손상시켜, 치매와 신경 퇴행성 질환의 위험도 높인다는 사실이 밝혀졌습니다.

9. How to Prevent AGE Formation

AGEs 형성을 줄이기 위해서는 우선 혈당을 철저히 관리하는 것이 중요합니다. 또한, 항산화 영양소(비타민 C, E, 폴리페놀 등)가 풍부한 식단, 그리고 고온 조리(튀김, 그릴 등)를 피하는 식습관이 도움이 됩니다. 실제로, 건강한 지방이나 식물성 식품을 중심으로한 지중해식 식단이나 곡류, 유제품 등 섭취를 강조하는 DASH 식단이 AGEs 축적을 줄인다는 연구 결과도 있습니다. 약물적으로는 아미노구아니딘, 피리독사민 등 AGEs 형성 억제제가 연구 중이며, 최근에는 이미 형성된 AGEs를 분해하는 ‘AGE breaker’(예: 알라게브리움)도 임상시험이 진행되고 있습니다.

10. Ongoing Research

AGEs와 관련된 최신 연구는 매우 활발합니다. 예를 들어, AGEs의 혈중 농도를 조기 진단 바이오마커로 활용하는 연구, RAGE 억제제 개발, 그리고 AGEs를 직접 분해하는 약물 개발 등이 대표적입니다. 특히, AGEs가 암, 알츠하이머병, 심부전 등 다양한 질환의 예후와도 관련이 있음이 밝혀지면서, AGEs 타깃 치료가 미래 의학의 중요한 축이 될 것으로 기대됩니다. 저는 이처럼 AGEs 연구가 단순히 당뇨를 넘어, 다양한 만성 질환의 근본적 치료로 확장되고 있다는 점에 큰 흥미를 느끼는 계기가 되었습니다.

11. Conclusion

정리하자면, AGEs는 고혈당 상태에서 생성되어, 만성 염증과 장기 손상의 핵심 매개체로 작용합니다. 이들의 형성, 축적, 그리고 RAGE를 통한 신호전달은 당뇨 합병증 뿐 아니라, 다양한 만성 질환의 병태생리와 밀접하게 연결되어 있습니다. 앞으로 AGEs와 관련된 연구와 치료 전략이 발전한다면, 단순한 혈당 조절을 넘어, 만성 질환의 근본적 예방과 치료가 가능해질 것이라 기대합니다. 저 역시 이 주제를 더 깊이 탐구하면서, 앞으로 AGEs 연구에 지속적으로 관심을 갖고 싶다는 생각을 하게 되었습니다. 이상으로 발표를 마치겠습니다. 감사합니다.

A white hat hacker's job includes:

• Testing websites, applications, and networks

• Simulating real cyberattacks to uncover flaws

• Helping companies develop stronger defenses

• Participating in hacking competitions like CTF (Capture the Flag) to sharpen their skills

They fight silent battles in the background, using knowledge instead of weapons.

✅ 7. Real-Life Examples

In Korea, white hat hackers have prevented major damage.
Some restored hospital systems attacked by ransomware.
Others found vulnerabilities in government and corporate systems—before they could be exploited.
They rarely appear in the news, but they’re the reason our digital world keeps running safely.

✅ 8. Why I Chose This Path

One day, I saw my friend’s social media account get hacked.
It was shocking and frustrating.
That moment made me wonder—what if I could stop this from happening?
That question led me to the world of ethical hacking.
I want to become someone who protects others using technology.

✅ 9. How Can I Become a White Hat Hacker?

To become a white hat hacker, I need to:

• Learn programming languages like Python, C, and Java

• Study networks, operating systems, and cybersecurity tools

• Earn certifications like CEH (Certified Ethical Hacker) or CISSP

• And join coding clubs or hacking competitions to gain hands-on experience

It's a long journey, but a meaningful one.

✅ 10. Cybersecurity in the Age of AI

Artificial intelligence and smart devices are changing the game.
They bring convenience—but also new threats.
Hackers are now using AI.
So we need defenders who understand and control AI as well.
The demand for smart, ethical hackers is only going to grow.

✅ 11. My Dream: Becoming a Digital Guardian

My goal is to become someone who protects people's digital lives.
I don't want to be a sword—I want to be a shield.
A quiet protector who uses knowledge to defend privacy, trust, and safety.
White hat hackers may work in the shadows,
but their impact is bright and powerful.

✅ 12. Final Message

The internet is like a city—it needs laws, protection, and guardians.
White hat hackers are the digital guardians of our time.
So I ask you:
If your account were hacked tomorrow, who would you call?
I hope, someday, your answer could be me.
Thank you.

Hello, my name is 이아림

Today, I’m going to talk about how hackers break into systems.

We’ll explore real hacking techniques and what makes our systems vulnerable.

Slide 2

So, what exactly is hacking?

Hacking means gaining unauthorized access to a computer system or network.

It can be used for theft, disruption, or even just exploration.

But in this presentation, I’ll focus on how it actually works.

Slide 3

Many systems are weak, and hackers take advantage of that.

Poorly written code, weak passwords, outdated software, and lack of encryption are common reasons.

Even one weak point can give hackers a way in.

Slide 4

Most hacking follows five main steps.

First, the hacker does reconnaissance—they gather information.

Then they scan for vulnerabilities, gain access, install backdoors to stay in control, and finally cover their tracks.

This is the basic structure of a cyberattack.

Slide 5

The first technique is phishing.

It uses fake emails or websites that look real to trick people.

The goal is to steal usernames, passwords, or personal data.

It’s more about fooling humans than breaking code.

Slide 6

Next is the brute force attack.

The hacker uses a program that automatically tries thousands of password combinations.

This works well on common or weak passwords.

It’s simple but can be very effective.

Slide 7

SQL Injection is one of the most dangerous attacks.

Hackers insert harmful SQL code into input fields, like login forms.

If the system doesn’t check the input properly, the hacker can bypass login or steal entire databases.

Slide 8

XSS, or Cross-Site Scripting, targets the users of a website.

The attacker injects JavaScript into the site.

This script can steal cookies or redirect users without their knowledge.

It’s dangerous because the attack comes from a trusted site.

Slide 9

In this attack, the hacker sits between two people who are communicating.

They can read or even change the information being sent.

If the connection isn’t encrypted, like without HTTPS, this attack is easy to do.

Slide 10

Let’s look at a real example from Korea in 2021.

A major website was hacked using SQL injection and outdated software.

Millions of records were leaked.

The result was identity theft and a huge loss of trust.

Slide 11

So, what can we learn?

Hackers use logic, not magic.

Most attacks succeed because of small mistakes in the system.

By understanding how attacks work, we can make our systems stronger and safer.

So, what exactly is telehealth nursing? It refers to providing nursing care remotely using digital platforms like video calls, mobile health apps, and even text messaging. This type of care can include clinical services, like monitoring a patient’s blood pressure or blood sugar levels, as well as non-clinical support like educating patients about their medications. Telehealth nurses can check in with patients regularly, track their progress, and offer support—all without being in the same room.

Now let’s talk about the benefits, starting with patients. One of the most obvious advantages is improved access to care. Patients who live in rural or underserved areas no longer have to travel long distances just to see a nurse. It saves both time and money. It’s also more convenient—patients can schedule appointments that fit into their day, and they can receive follow-up care from the comfort of their homes. For those managing chronic illnesses like diabetes or hypertension, regular virtual check-ins can lead to better outcomes and fewer hospital visits.

Nurses and the healthcare system benefit too. Telehealth allows for more efficient workflows. Nurses can see more patients, sometimes in shorter timeframes, and with less physical strain. During the pandemic, it also helped reduce exposure to infectious diseases. It encourages collaboration—nurses, doctors, pharmacists, and other healthcare professionals can now connect easily through digital platforms, improving overall care coordination.

Let me give you a quick real-world example. Imagine a patient with type 2 diabetes who has weekly video check-ins with a nurse. The nurse reviews the patient’s glucose levels through an app, discusses symptoms, and adjusts the care plan as needed. This kind of continuous monitoring has led to improved blood sugar control and fewer emergency visits. It’s just one example of how telehealth nursing can make a real difference in people’s lives.

But of course, it’s not without its challenges. On the technical side, some patients don’t have a stable internet connection, or they may not own a smartphone or computer. Even when the technology is available, sessions can be disrupted by technical issues, which makes care delivery harder. Then there’s the issue of privacy—handling sensitive health data online raises concerns about cybersecurity and patient confidentiality.

There are also professional and ethical concerns. Nurses may find it difficult to build trust with patients when communication is limited to a screen. It’s also harder to assess physical symptoms, like swelling or skin conditions, without being there in person. On top of that, legal regulations vary between countries—and even between states or regions—so nurses need to be careful about what services they’re allowed to provide remotely.

From the patient’s side, there are additional barriers. Many older adults struggle with using technology. Some patients have language barriers, hearing loss, or other impairments that make virtual care difficult. And let’s face it—not everyone feels comfortable receiving medical advice over a screen. Some people simply don’t trust virtual platforms with their health.

Despite all these challenges, the future of telehealth nursing looks promising. New technologies like AI and wearable devices are improving how we track health data and deliver care. Nurses are now receiving training in digital tools and remote communication. However, for telehealth to truly succeed, we’ll need better infrastructure and fairer policies. Everyone deserves access to quality healthcare—whether they’re sitting in a hospital or at home with a smartphone.

In conclusion, telehealth nursing has opened a new chapter in healthcare. It offers convenience, flexibility, and expanded access—but we must also recognize the real challenges, both technical and human. The most promising future likely lies in a hybrid approach that combines the best of virtual care with the irreplaceable value of face-to-face interaction. To make that future a reality, we need continued investment in technology, training, and healthcare policy.

Thank you so much for your attention.

1. Introduction

(1) What is UAM?

Urban Air Mobility (UAM) is a new air transportation system that uses electric-powered vertical takeoff and landing aircraft (eVTOL) and Bertieport (takeoff and landing site) to transport people or cargo at low altitudes, quickly, and safely within the city center.

Unlike conventional two-dimensional ground transportation, it refers to a three-dimensional transportation system that utilizes sky roads.

(2) Why did it appear?

UAM emerged on the back of social change and technological advancements, including:

- Population concentration in large cities and deepening traffic congestion

- Limitations of ground transportation (stagnation, time consumption, environmental pollution)

- Development of eco-friendly and low-noise electric power vehicle (eVTOL) technology

- Demand for improving urban productivity and civic quality of life

(3) Problems that UAM is trying to solve

UAM aims to solve urban problems as follows.

- Relieving traffic congestion: Reducing commuting time in the city center and increasing movement efficiency

- Improving environmental problems: Reducing greenhouse gases and exhaust gases by using electric power

- Utilization of urban space: Vertical takeoff and landing are possible without a runway, maximizing space utilization in the city center

- Logistics innovation: Rapid transportation of cargo and logistics is possible

In summary, UAM is a new transportation paradigm that aims to innovatively address congestion and environmental problems in urban traffic and build a future mobility ecosystem.

2. Core technology that enables UAM

(1) Electrical power and battery technology: core of compatibility

UAM is based on an electric propulsion system (eVTOL). Instead of internal combustion engines, high-power electric motors and high-capacity batteries are used to zero carbon emissions, and noise and vibration are greatly reduced compared to existing aircraft or cars.

- High energy density battery: Lithium ion, next-generation solid state battery technology to extend flight time (currently 80-100km level → target more than 200km in 2030).

- Rapid charging technology: We are developing infrastructure that can charge quickly within 15 to 20 minutes.

(2) Autonomous flight and AI technology: Pilotless operation

It aims to fly fully autonomous after 2035.

Sensor fusion technology: Combining LiDAR, radar, camera, and ultrasonic sensors to detect and avoid real-time obstacles.

AI-driven decision making: Deep learning algorithms automate weather changes, flight path optimization, and emergency response.

Remote monitoring system: Technology that simultaneously manages multiple aircraft in ground control centers is applied.

(3) New materials and lightweight technology: Maximizing efficiency

Carbon fiber composite material (CFRP): It improves energy efficiency by more than 30% by implementing five times strength in 1/5 weight compared to steel.

3D Printing Parts: Lightweights parts with complex structures and reduces manufacturing time by 70%.

Distributed electric propulsion (DEP): Six to eight small propellers are deployed to fly safely even in the event of a single engine failure.

(4) Noise reduction technology: Securing urban water solubility

Aerodynamic optimization: Low noise implementation with propeller blade shape design (reduced by more than 15 dB compared to conventional helicopters).

Active noise control (ANC): Application of technology that cancels generated noise in real time.

Vibration absorbing material: Graphene-based material that reduces gas vibration by more than 90%.

(5) Integrated traffic management system

U-Space: Combines satellite (GPS), 5G/6G communication, and cloud platforms to implement ultra-low delay air control.

Digital Twin: Pre-prediction of actual pre-operational hazards through flight simulations in virtual space.

When these technologies are combined, UAM can expect to connect urban-satellite cities within 30 minutes and reduce CO2 by more than 100 million tons per year. 🚁⚡

3. Example of specific changes in our lives when introducing UAM

(1) Commuting time innovation

For example, if you use UAM, you can arrive in 15 minutes from Gimpo Airport to Jamsil, which took an hour and 10 minutes by car. Travel 30-50km sections in the city center within 20 minutes and be freed from traffic jams.

(2) Dailyization of Air Taxi

If you book your destination and time with a smartphone app, you can board at Bertieport (takeoff and landing site) and travel quickly and comfortably to places you want, such as hospitals, schools, and companies, by flying taxis.

(3) Innovation in emergency medical care and disaster response

UAMs are used quieter and faster than existing helicopters to emergency patients, organ and blood transfer, and disaster site rescue, making it easier to secure golden time. Vertical takeoff and landing are possible in various places such as hospital rooftops and school playgrounds, which increases utilization.

(4) Changes in urban space and living patterns

Reducing travel time breaks down the physical boundaries of the city and broadens the choice of workplace, residential, and leisure spaces. Various activities such as commuting, business, and tourism between urban centers and satellite cities are activated.

(5) Creation of new industries and jobs

New services and jobs such as air taxi operation, Bertieport management, and UAM control will be created, and urban infrastructure and transportation paradigms will change smartly.

(6) Realization of eco-friendly transportation

The introduction of electricity-based UAM can reduce air pollution and carbon emissions, and reduce road traffic, which can also be expected to improve the environment.

As such, UAM is expected to bring innovative changes to our daily lives, including commuting, emergency medical care, urban structure, and industry.

1. Hello, my name is Seo-Young Choi, and today I’ll be giving a presentation on chemical reactions in food.

2. The presentation will cover the definitions and explanations of the Maillard reaction and caramelization, their similarities and differences, real-life examples, and finally, a conclusion.

3. First, the Maillard reaction is a browning reaction involving reducing sugars and amino compounds. It was first reported in 1912 by French chemist Louis-Camille Maillard. When sugars are present with amino acids, peptides, or proteins, they react easily through several intermediate steps to produce brown pigments called melanoidins.

4. The chemical equation for the Maillard reaction is shown on the screen. Here, R-NH₂ represents an amino acid, the basic unit of proteins; RCHO represents a sugar; and RN=CHR represents the newly formed compound.

5. Next, caramelization is a phenomenon caused by the oxidation of sugars, which contributes to the rich color and nutty flavor in cooking. It is a non-enzymatic browning reaction, meaning enzymes are not involved. Volatile compounds formed during caramelization are responsible for the characteristic caramel flavor. Like the Maillard reaction, it is a type of non-enzymatic browning.

6. The Maillard reaction and caramelization are often confused because they share many similarities. As mentioned earlier, both are non-enzymatic browning reactions, occurring without the involvement of enzymes. They also occur at high temperatures and enhance the aroma and flavor of food.

7. However, despite these similarities, the two are distinctly different reactions. Let’s explore the differences.

8. The key difference lies in the components required. The Maillard reaction requires both sugars and amino acids, whereas caramelization only involves the breakdown of sugars through heat. In other words, the Maillard reaction needs both sugars and amino acids, but caramelization can occur with sugar alone.

9. Although both reactions occur at high temperatures, the specific temperature ranges differ. The Maillard reaction typically occurs between 120°C and 180°C, while caramelization starts around 160°C and continues at even higher temperatures.

10. The products formed are also different. The Maillard reaction produces melanoidins, along with other compounds like pyrazines and furans. Caramelization, on the other hand, results in compounds such as acetoin and diacetyl. The two reactions also differ in the factors that influence them and their typical applications in food.

11. In real life, the Maillard reaction occurs frequently in cooking meat, since proteins are required for the reaction. Caramelization, however, can happen simply by heating sugar, so it is common in dessert-making.

12. In summary, while both are non-enzymatic browning reactions, the Maillard reaction involves the reaction between sugars and amino acids, creating a brown color and savory aroma. Caramelization involves heating sugars alone, producing a sweet aroma and color. The Maillard reaction only occurs in foods with protein, such as meat or bread, while caramelization occurs in sugar-rich foods like sugar and onions. Though they result in similar browning effects at high temperatures, their chemical mechanisms and flavors are clearly different.

13. That concludes my presentation. Thank you for listening.

- mentioning the possibility that UAM will use autonomous flight technology (may not require a pilot?)

But! In the early UAM introduction stage or complex situation, the role of the pilot will still be important (safety management, emergency response)

- What more abilities should airplane pilots develop in the UAM era? (AI system supervision, operational capability in complex urban environments)

UAM and Pilot Role: Evolving Flight Paradigm

(1) Possibility of autonomous flight technology vs reality

- Full autonomy goal in 2035: With the development of AI and sensor technology, unmanned operation is expected to be possible in the long run.

- Initial stage (2025-2035): Pilots are on board or operated in remote surveillance mode for safety verification.

→ Example: Joby Aviation in the United States plans to release a pilot boarding model first when commercialized in 2025.

(2) Situation where a pilot is essential

- Emergency response: Human judgment is essential in case of sudden weather deterioration, sensor error, or abnormal path intrusion.

- Legal and social responsibility: Pilot intervention is inevitable in the early stages to clarify who is responsible in the event of an accident.

→ Case: In the 2024 German Volocopter test flight, the pilot manually controlled the sudden turbulence.

(3) Competency that pilots in the UAM era should develop

- AI system supervision ability:

- Understanding the decision-making process of automated algorithms

- LIDAR/RADAR DATA ANALYSIS TECHNIQUES COLLECTED IN REAL TIME

- Urban-specific operation technology:

- Precision operation in a narrow space between skyscrapers

- Altitude control to minimize propeller noise

- Cross-platform collaboration:

- Understanding the airspace sharing system with drones, helicopters, and general aircraft

- Smooth communication with ground control center

✈️ key summary:

UAM pilots will evolve from "machine operators" to "system surveillance and optimization experts." By 2040, the human-AI collaboration system will be standardized, and in this process, digital twin simulation capabilities and urban spatial cognitive capabilities will be highlighted as the most important skills.

5.Challenges and the Future Outlook (Challenges and Future Prospects)

- Challenges to be solved for UAM commercialization (securing technical safety, establishing an air traffic management system, preparing laws and regulations, noise problems, cost problems, etc.)

- Nevertheless, UAM's development potential and bright future presentation

Challenges for UAM Commercialization

- Secure technical safety

Technical verification such as safety of UAM aircraft, battery performance, and autonomous flight reliability is essential. High safety standards such as responding to emergencies and preventing collisions in actual urban environments must be met.

- Establishment of air traffic management system

A new traffic control system (UAM-only control, integration with existing aircraft) is required for multiple UAMs to operate simultaneously over the city center. Infrastructure construction such as Bertieport (takeoff and landing site) is also an important task.

- Establish laws and regulations

Institutional foundations such as flight standards, aircraft certification, pilot qualifications, and insurance are still insufficient, and related laws and regulations are required to be overhauled and international standardization [3] [5].

- Noise and environmental issues

Due to the nature of urban operations, noise reduction technology is essential, and securing residents' acceptance is also important.

- Cost and infrastructure issues

Economic challenges such as initial introduction costs, infrastructure investment, and operating costs burden must also be addressed. Securing airframe and support ports and establishing communication networks should also be carried out at the same time.

Future prospects and potential for development

Despite these tasks, UAM has great potential to become a key means of transportation for future cities by relieving traffic jams, shortening travel time, and providing eco-friendly means of transportation. The government and the private sector are working together to promote demonstration projects, technology development, and system maintenance, and challenges are continuing with the aim of commercialization in 2025.

After all, UAM is very likely to establish itself as an innovative future mobility.

6. Conclusion (conclusion)

- Emphasize the future urban landscape that UAM will bring once again

- I think the most important value of UAM

ex) Sustainable mobility, creation of new opportunities, etc.

- The audience concludes by asking questions about what they think about UAM.

Conclusion: The Future City UAM will Open

If UAM is introduced in earnest, we will face a new urban landscape where the sky road opens. Flying taxis become a daily routine, and moving quickly and pleasantly away from road traffic is no longer an imagination. The city center and satellite cities will get closer, and innovation will take place in various fields such as emergency medical care and logistics.

The most important value of UAM, in my opinion, is sustainable mobility and the creation of new opportunities. Eco-friendly electric power reduces carbon emissions, and a future is realized where anyone can move quickly and safely. Also, new industries and jobs will be created through UAM, and the way the city uses space and lifestyle will change significantly.

Now I'm curious about your thoughts.

What would the UAM-era city look like? What do you think about the changes UAM will bring to our lives?

Slide 1 – Introduction

Hello, everyone.

Today, I will be presenting on a topic that is both scientifically fascinating and deeply connected to my career interests: “The Development and Significance of Gravitational Wave Detection Technology.”

Gravitational waves were once purely theoretical, but today, they are a vital tool for exploring the universe. Let’s begin by understanding what gravitational waves are.

Slide 2 – What Are Gravitational Waves?

Gravitational waves are ripples in spacetime, caused by the acceleration of massive celestial objects.

They propagate at the speed of light and carry energy across the universe.

These waves are typically generated during events like black hole mergers or neutron star collisions—extremely violent processes that we could never study with light alone.

Because gravitational waves interact weakly with matter, they can pass through regions of space that are completely opaque to electromagnetic radiation.

This makes them a unique and powerful tool for observing the invisible universe.

Now that we understand what gravitational waves are, let’s take a look at how they were predicted and understood through Einstein’s theory.

Slide 3 – General Relativity and Gravitational Waves

In 1916, Albert Einstein proposed the general theory of relativity, which describes gravity not as a force, but as the curvature of spacetime caused by mass.

According to this theory, when massive objects accelerate—like in a binary star system—they should generate ripples in spacetime.

Einstein mathematically derived the existence of gravitational waves, but he himself was uncertain whether they could ever be detected.

Due to their incredibly small amplitude, gravitational waves remained theoretical for decades.

However, scientists continued to search for indirect evidence, which leads us to the next stage in gravitational wave history.

Slide 4 – Indirect Discovery: The Hulse-Taylor Binary

In the 1970s, astrophysicists Russell Hulse and Joseph Taylor discovered a binary pulsar system called PSR B1913+16.

They observed that the orbit of these neutron stars was gradually shrinking, and the rate of orbital decay matched the predicted energy loss from gravitational wave emission.

This provided strong indirect evidence of gravitational waves.

Their work earned them the Nobel Prize in Physics in 1993 and revived interest in building detectors to capture these waves directly.

And in 2015, that long-awaited breakthrough finally came.

Slide 5 – Direct Detection: LIGO’s Breakthrough

On September 14, 2015, the LIGO observatory made the first direct detection of gravitational waves.

This event, known as GW150914, was caused by the merger of two black holes over a billion light-years away.

This historic moment confirmed Einstein’s prediction after nearly a century and marked the birth of gravitational wave astronomy.

We had opened a new observational window to the universe.

But how exactly did we detect such tiny distortions in spacetime? Let’s take a closer look at the technology behind it.

Slide 6 – Detection Principle: Laser Interferometry

Gravitational wave observatories like LIGO use a technique called laser interferometry.

They use a Michelson interferometer with two long vacuum arms—each several kilometers in length—to measure changes in distance caused by passing gravitational waves.

These changes are incredibly small—less than a thousandth of the diameter of a proton.

To ensure accurate readings, the instruments must be shielded from seismic vibrations, thermal noise, and even quantum fluctuations.

This makes gravitational wave detection one of the most precise measurement challenges in modern science.

Now that we understand how the detection works, let’s explore the global network of observatories contributing to this field.

Slide 7 – Major Observatories Around the World

The most well-known observatories include LIGO in the United States, Virgo in Italy, and KAGRA in Japan.

KAGRA is unique because it’s built underground and uses cryogenic cooling to reduce noise.

These facilities work together through international collaboration, sharing data and improving sensitivity.

As technology advances, these observatories are being upgraded to detect even fainter and more distant gravitational wave sources.

Let’s look at one of the most remarkable events that these observatories have captured.

Slide 8 – Case Study: GW170817

In 2017, gravitational wave event GW170817 was detected, marking the first observation of a neutron star merger.

What made this event truly groundbreaking was that it was also observed using gamma-ray and optical telescopes.

This allowed scientists to study the same event through both gravitational waves and electromagnetic signals.

The event helped explain how heavy elements like gold and platinum are formed in the universe.

This kind of multi-source observation has revolutionized astrophysics, which brings us to the concept of multi-messenger astronomy.

Slide 9 – Scientific Impact of Gravitational Waves

Gravitational wave detection has profound scientific implications.

It allows us to test general relativity in extreme gravitational environments—conditions that were impossible to study before.

It also gives us direct insight into the behavior of black holes, neutron stars, and the very nature of spacetime.

By observing the invisible, we can answer fundamental questions about the universe’s structure and origin.

But combining gravitational wave data with other forms of observation makes the science even more powerful.

Slide 10 – Multi-Messenger Astronomy

Multi-messenger astronomy refers to the use of different types of cosmic signals—such as gravitational waves, light, and neutrinos—to study astronomical events.

This approach enables scientists to build more complete and accurate models of the universe.

By combining data from various observatories, we can track events more precisely and better understand complex cosmic processes.

This field is still growing rapidly, and its future is even more exciting.

Slide 11 – Future of Gravitational Wave Research

In the coming years, a space-based observatory called LISA—the Laser Interferometer Space Antenna—will be launched.

Unlike ground-based detectors, LISA will be able to observe low-frequency gravitational waves in space.

This will expand our detection range to include events such as supermassive black hole mergers and signals from the early universe.

Moreover, artificial intelligence will be used to process real-time data and identify signals more efficiently.

Now, I’d like to share how this topic connects to my personal academic and career goals.

Slide 12 – Connection to My Career Path

As someone who is passionate about space science, gravitational wave research deeply inspires me.

It combines advanced physics, precise engineering, and large-scale data analysis—fields I want to explore in the future.

By studying gravitational waves, I hope to contribute to our growing understanding of the universe and be part of groundbreaking scientific discoveries.

Slide 13 – Thank You

Thank you for listening to my presentation.

Good morning everyone.

Today, I’m going to talk about AI – Everything You Didn’t Know.

2)

Let’s explore what AI is, how it works, its pros and cons, and what we can expect from it in the future

3)

So, what is AI?

AI stands for Artificial Intelligence. It is computer technology that imitates human intelligence — like thinking, learning, judging, and solving problems.

AI can learn from data and make its own decisions.

Some common uses include speech recognition, self-driving cars, game characters, and translators.

4-5)

AI is used in many fields.
For example:

• Natural Language Processing, or NLP, helps machines understand and generate human language. Think of ChatGPT, translators, or Siri.

• Image and Video Recognition is used in face recognition, medical diagnosis, or autonomous vehicles.

• Speech Recognition and Synthesis converts voice into text and vice versa — like in subtitles or smart speakers.

• Game AI controls NPCs and adjusts game difficulty.

• And Recommendation Systems suggest content on YouTube, Netflix, and shopping sites.

Other important types include:

• Autonomous Systems – like drones and self-driving cars.

• Generative AI – which creates new images, music, or writing.

• Security and Surveillance AI – to detect threats or abnormal behavior.

6)

There are two main types of AI: Traditional AI and Modern AI, including Machine Learning (ML) and Deep Learning (DL).

• Traditional AI is rule-based, not very flexible, and doesn’t learn.

• Modern AI learns from data and can solve complex, dynamic problems.
  This is why modern AI is more powerful and useful today.

7-8)

Let’s look at the advantages of AI:

• It processes data faster and more accurately than humans.

• It can automate repetitive tasks, saving time and increasing efficiency.

• It works 24/7 without rest.

• It offers personalized services, like YouTube recommendations.

• It can create art, music, and writing.

However, AI also has disadvantages:

• It may cause job losses due to automation.

• It requires a lot of data, computing power, and energy.

• There are ethical issues, like data bias or unclear responsibility.

• We may become overdependent on AI and lose critical thinking skills.

• And it can be misused — for fake news, deepfakes, or cyber attacks.

9-12)

In the future, AI will be smarter and more creative — making art, music, and stories.
It will support people in many fields: doctors, students, gamers, and more.

AI will not replace humans, but become a partner in industries like healthcare, finance, education, and manufacturing.

We also need to prepare for AGI — Artificial General Intelligence, which might match or even exceed human intelligence.
This brings great benefits but also serious risks, so we must create strong AI ethics and laws.

13)

In conclusion, AI is changing our world in exciting and sometimes challenging ways.
Let’s use it wisely — as a tool to help, not harm.

Thank you for listening!

Hello everyone. My name is kimminseo, and today I’m going to talk about how AI and robotics are changing the field of nursing. Are they helping nurses, or are they becoming a threat to our future?

We live in a world where technology is growing very fast. In recent years, AI and robots have started working in hospitals. But this brings up an important question: are these machines here to support nurses—or to replace them? Let’s find out.

First, what do we mean by AI and robotics in nursing? AI, or Artificial Intelligence, is when machines can think, learn, and make decisions like humans. In nursing, robots can also help. They carry supplies, deliver medication, or even monitor a patient’s health. These tools are not science fiction—they’re already being used in real hospitals.

Why are they used? One big reason is that many countries are facing a shortage of nurses. Also, nurses often have too much work and too little time. AI and robots can help solve this. They make tasks faster, more accurate, and reduce stress for human nurses.

Let me give you some real examples. One is Moxi, a robot that works in some U.S. hospitals. Moxi delivers medical supplies and allows nurses to focus more on patient care. Another example is AI systems that track patients’ vital signs 24/7, so nurses can respond quickly in emergencies.

Now, let’s look at the benefits. For nurses, these machines can reduce physical work like lifting patients or walking long distances. This gives them more time to talk with patients and provide emotional support. It also helps improve efficiency in the hospital.

For patients, AI means better safety and faster response. It can watch over them all the time and alert nurses if something is wrong. Robots can also provide more consistent care, without human error from fatigue or stress.

But of course, there are also concerns. Many people worry that robots might replace human nurses. And machines can’t show emotions or empathy. Can a robot really care for a patient like a nurse can? Also, we should be careful not to depend too much on technology.

There are ethical issues, too. For example, if a robot makes a mistake, who is responsible? The nurse? The doctor? The company? And how do we keep patients’ private data safe from hacking or leaks?

So what do real nurses think? Many of them say AI is helpful—but only if it’s used as a tool, not as a replacement. They still believe the “human touch” is the heart of nursing. One nurse said, “Technology can support care, but it should never replace it.”

In conclusion, is AI a help or a threat? I believe it can be both. It depends on how we use it. If we use AI to support nurses, not replace them, then we can build a better future together—with human care and smart machines working as a team.

Thank you for listening.

Hello, I'm Park Hayeon of 3709.

The theme is "Nursing Practice in the Metaverse: Can It Replace Reality?" That's it.

Let's look at the role metaverse technology can play in the changing nursing practice environment.

1.Topic Selection Background

As hospital practice is restricted after COVID-19, the opportunity to contact actual patients is decreasing. There is also a lack of training centers and a large number of students. Currently, nursing practice has problems such as lack of training hospitals, patient privacy problems, and risk of accidents during practice. In addition, in the event of an infectious disease like COVID-19, practice may be completely stopped. While looking for a way to solve this problem, I noticed that virtual education using the metaverse is becoming more active throughout the education world.

2.What is the metaverse?

The metaverse is a new word that combines 'meta', which means virtual and transcendent, and 'universe', which means the world and the universe, and means a digital space in which reality and virtual are fused.

The metaverse includes VR, AR, MR, and XR.

VR is an alternative world built with digital data that is similar to or completely different from reality. AR refers to an environment that interacts through virtual overlapping objects expressed in 2D or 3D in real space. MR refers to creating new information such as new environments or visualizations by combining the virtual and real worlds. XR is a comprehensive term for AR, VR, and MR.

Currently, it is used in various ways not only in games, shopping, and meetings, but also in education.

3.What is metaverse nursing education?

Metaverse nursing education is a method of conducting simulation practice in a virtual space using extended reality (XR) technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR). It is characterized by providing an immersive learning experience close to the actual hospital environment by simultaneously providing practice and theoretical education in a 3D virtual space without physical space constraints.

4.Why do you need it?

In nursing education, it is essential to acquire patient response skills and skills through various clinical practice as well as theory. However, traditional practice has many restrictions such as time, place, equipment, and patient safety. In particular, as face-to-face education has become more difficult since the COVID-19 pandemic, the need for safer and more flexible education methods has increased. As a result, metaverse-based non-face-to-face practice education has attracted attention.

5.Process

Virtual Hospital Simulation: Students can enter virtual hospitals through avatars and experience patient care, medication, emergency response, and more.

Situation-based learning (SBL): A real-life clinical scenario is provided within the metaverse, helping to develop judgment and clinical thinking.

Real-time Feedback: Instructors can observe student behavior in virtual space and provide real-time feedback.

Collaborative learning: Multiple students can access the same virtual environment and conduct team nursing, patient case conferences, and more.

6.Metaverse Nursing Education Real Case, Photo

<Case Study of Hallim University Sacred Heart Hospital>

They are practicing CPR, medication, and coping with fall patients virtually in VR. It is gradually expanding as part of nursing and practical training.

By implementing a metaverse environment similar to the situation of nursing patients in wards, operating rooms, intensive care rooms, and emergency rooms, new nurses experience various emergencies that may occur in the field and repeatedly train nursing skills necessary for each situation.

7.Benefits of Metaverse Nursing Education

Safe hands-on environment: less burden for mistakes because it is not targeted at real patients.

Learning repeatable: You can practice multiple repetitions of different situations, increasing your proficiency.

Realistic immersive learning: It has the advantage of enabling realistic practice thanks to a 3D environment designed like a real hospital room.

Improved accessibility: Anyone can get the same education, no matter where they are, no matter how long they are, no matter where they are, no matter how far or how long they are, and can practice at any time.

8.Limit

Of course, there are limits.

Because interactions with virtual patients are different from real people, they may fall short of training empathy ability or ethical judgment.

In addition, it is expensive to build VR equipment or systems, and the usage is complicated, so technical capabilities are also required.

1. a difference from reality

Sensory limitations: The touch, body temperature, facial expressions, movements, etc. of the actual patient are difficult to fully reproduce in the metaverse. Therefore, the sensory and intuitive experience needed in the actual clinical practice may be lacking.

Lack of Unpredictable Situations: Real-world clinical trials have a variety of unexpected situations, but metaverse scenarios are only within a pre-designed range, so there is a limit to improving real-world responsiveness.

2. technical constraints

Expensive equipment required: The equipment required to build a metaverse environment, such as VR headsets and high-spec computers, is expensive, and it is difficult for all educational institutions to have it.

Connectivity issues: Quality of education may vary depending on network connectivity or equipment performance. Some areas or students are less accessible.

Possibility of technical errors: Technical problems such as system errors, bugs, connectivity failures, etc. may cause the class to be interrupted.

3. Lack of preparation of instructors and learners

Digital Competency Differences: Some instructors and students may be unfamiliar with the metaverse or XR technology, which may result in less learning.

Lack of Educator Training: There is still a lack of training professional instructors to design and operate effective metaverse training.

4. Limitations of Educational Content

Lack of standardization: Metaverse nursing education content is not yet standardized, so there is a big difference in quality and content among educational institutions.

Lack of diversity in scenarios: There is a lack of scenario development that reflects complex and diverse patient conditions as real-world clinical practice.

5. ethical and legal issues

Privacy: Even in a virtual environment, learners' data is collected, which can raise ethical concerns regarding privacy.

Limitations of Medical Ethics Education: In the metaverse, it is difficult to fully experience ethical conflicts arising in real human-to-human relationships.

9.Future prospects

Nursing education will gradually be reorganized digitally, including the metaverse.

New forms of nursing education will be held, including patient-specific training and remote collaboration.

Metaverse nursing education is not just a substitute, but a new paradigm that complements and expands traditional nursing education. In the future, it is expected that through the convergence of artificial intelligence (AI) and big data analysis technology, it will be possible to provide personalized education and customized scenarios tailored to the learner's level.

10.Realization

So far, we have looked at the concept and career potential of metaverse nursing education. Technology does not replace the role of nurses, but can complement and expand them.

I was impressed by the metaverse nursing education in that it is an innovative method that goes beyond the existing education method. After the COVID-19 pandemic, various technologies were introduced to overcome the limitations of face-to-face education, and the metaverse felt very useful in that it allowed people to experience an environment similar to the actual clinical situation in a virtual space.

In particular, the advantage of repeated learning and being safe for mistakes seemed to instill confidence in prospective nurses. In addition, the flexibility of education regardless of time and place was impressive in that it was possible to learn various emergency situations and patient cases without going to the hospital.

But at the same time, I also felt that it was not perfect like all technologies. I think it is a task to be solved that the quality of education may not be equal due to differences in expensive equipment or network environments, and that the actual patient's subtle reaction or sensation.

Nevertheless, metaverse nursing education is likely to become an important axis of nursing education in the future, and I felt that it was an opportunity to further enhance the professionalism and responsiveness of nurses at the point of contact between technology and education. I thought that the attitude of flexibly adapting to these changes and actively accepting new technologies was more important to future nurses.

2.A vegetative state is medically defined as a state in which a person has no consciousness or mobility due to cerebral abnormalities, but breathing and circulation are maintained. It refers to a state in which some brain function remains to sustain life, but voluntary movement or conscious behavior is not possible.

3.Traditional methods of determining consciousness have limitations. Traditionally, consciousness has been assessed by asking for a simple physical response. However, it has been increasingly recognized that this method has limitations because if a person is completely immobilized, they may be thinking and speaking internally but cannot express it because their body is unresponsive.

4.A technology that has emerged to overcome this limitation is fMRI, or functional magnetic resonance imaging, which shows in real time which parts of the brain are active, or in other words, "even if the body is not moving, the brain is responding." fMRI allows us to more accurately capture the presence of consciousness and allows us to assess more than just physical responses.

5.In 2006, Dr. Adrian Owen and colleagues at Western University in Canada used fMRI to look at the brains of immobilized patients and found that motor areas of the brain were activated in response to specific instructions - meaning that although there was no external response, the brain was understanding and responding to the commands. This was a major turning point in detecting consciousness in patients and opening up the possibility of communication.

6.This showed that fMRI has the potential to diagnose consciousness in patients and, in some cases, to be used as a means of communication. However, this technology is not applicable to all patients. Depending on the cause and location of the brain injury, the brain may respond differently, and some patients may not show a clear signal. This is a step that requires further research and a cautious clinical approach.

7.The decision to prolong life is more than just a medical judgment: "Should we withdraw life support from a patient who is conscious?" or, conversely, "Should we continue treatment even if the patient is unconscious?" These are deeply ethical questions. This means that no matter how advanced the technology, the final decision will always involve human values and judgment.

8.In these situations, nurses act as surrogate communicators for the patient - even if they can't speak or move, they can observe subtle reactions and relay them to the medical team, creating an important bridge to communicate the patient's condition.

9.Nurses also act as mediators between the family and medical staff. They help reconcile differing positions and make ethical decisions in a way that honors the patient.

10.In this regard, BCI technology is ushering in an era where we can communicate with our thoughts alone. By analyzing brain waves or neural signals to directly control computers or devices, it allows patients who are unable to speak or move to express their thoughts. Nurses will become increasingly important as the key link between patients and technology.

11.Capturing invisible consciousness, fMRI technology is becoming the new gold standard in healthcare for assessing recovery potential and making end-of-life care decisions. In the midst of these changes, nurses are interpreting patients' wishes, upholding bioethics, and acting as a bridge between humans and technology. In the end, nursing in the age of reading consciousness is moving beyond mere caregiving to co-determining the dignity and direction of patients' lives.

2. First, let's look at why people are interested in hydrogen. The reason is that

First, hydrogen fuel cells use the process of producing electricity through a chemical reaction between hydrogen and oxygen. What is surprising about this process is that no carbon dioxide is emitted at all, and only pure water is emitted as a byproduct.

Second, when looking at energy efficiency based on mass, hydrogen shows excellent performance, providing up to three times more energy per unit mass than fossil fuels.

In addition, hydrogen offers tremendous flexibility as an energy storage medium. Hydrogen can be stored in various forms, such as pressurized gas, extremely low-temperature liquid, or solid compounds.

Due to these advantages, hydrogen is attracting attention as an alternative energy source.

3. However, hydrogen exists mostly in the form of compounds on Earth, so a separate process must be performed to use it as an energy source. Let's look at the process. First, 'byproduct hydrogen' generated as a byproduct during the process of making petrochemicals or steel, second, 'reformed hydrogen' generated by decomposing natural gas at high temperature and pressure, and third, 'water electrolysis' method of producing hydrogen by electrolyzing water are representative methods of producing hydrogen. There are so many ways to produce hydrogen, and their environmental impacts also vary greatly.

4. So, in order to easily understand the raw materials, production methods, and carbon emissions of hydrogen, a system was introduced to classify the types of hydrogen by color. Based on this concept, in the next slide, we will look at the characteristics of each production method.

5. Gray hydrogen includes the byproduct hydrogen and reformed hydrogen mentioned above, and currently accounts for about 95% of global hydrogen production. Gray hydrogen is the most widely used hydrogen production method because it is the easiest to produce and the cheapest, but it produces a lot of carbon dioxide during the production process. If we look at it numerically, reformed hydrogen produces about 10kg of carbon dioxide when producing 1kg of hydrogen. As a result, hydrogen power generation using steam reforming reduces carbon dioxide emissions by only about 20-30% compared to conventional fossil fuel power generation. In addition, since the electricity used to generate high-temperature, high-pressure steam is produced from fossil fuels, additional carbon dioxide is generated.

6. Currently, ‘green hydrogen’, which is called the ultimate eco-friendly energy source, is an eco-friendly hydrogen produced by electrolyzing water with surplus electricity produced from renewable energy sources such as solar and wind power, and does not generate any greenhouse gases such as carbon dioxide or fine dust. However, green hydrogen has the problem of high production costs for generating electricity from renewable energy sources, and the efficiency of the electrolysis facility itself is not that high, so there are still problems to be solved for commercialization as the amount of electricity required for hydrogen production is high. One of the problems is that the electricity used to produce hydrogen is produced through renewable energy, but this energy source’s power output varies greatly depending on environmental conditions. To solve this problem, compressed air storage (CAES) methods are emerging as an alternative, which compresses and stores air using surplus electricity and then drives a turbine to produce electricity when needed later. An example is Wind2Gas Energy, a subsidiary of Greenpeace Energy.

8. Turkish hydrogen (cyan hydrogen) is a technology that produces hydrogen by putting natural gas into a high-temperature reactor. It decomposes natural gas, which mainly consists of methane, into hydrogen and solid carbon to produce hydrogen.In other words, cyan hydrogen extracts hydrogen from fossil fuels, but separates carbon dioxide in a solid state instead of a gaseous state.Therefore, since there is no gaseous carbon dioxide emission during the production process, it is classified as clean hydrogen along with blue hydrogen and green hydrogen.In addition, unlike blue hydrogen, it does not require carbon capture and storage (CCS) and has the advantage of using less electricity than when producing green hydrogen.In addition, the solid carbon produced in the hydrogen production process can be used as a raw material for carbon black, which is used as a raw material for tires, or artificial graphite, which is used as a cathode for secondary batteries, so there is no need to store the captured carbon dioxide in underground spaces such as bedrock, unlike blue hydrogen.In addition, cyan hydrogen can be produced from renewable natural gas generated from organic waste such as food waste, manure, or sewage.However, since blue-green hydrogen is difficult to mass-produce and is produced using natural gas, there is a limitation that the cost required for production fluctuates greatly.Green hydrogen produced using renewable energy rather than fossil fuels is more ideal, but in the coming hydrogen economy era, the production of green hydrogen will not keep up with consumption.In addition, since there is no carbon dioxide emission during the production process and there is no need to store the captured carbon dioxide, it is more environmentally friendly than blue hydrogen, so I think it is the most noteworthy method among the hydrogen production methods I introduced.9. Let's also learn about other hydrogen production methods.White hydrogen refers to naturally occurring underground hydrogen, and it is an attractive clean energy source that is currently being actively researched and explored because it can be extracted at minimal cost and with zero carbon emissions.Pink hydrogen is hydrogen produced by electrolyzing seawater or freshwater using cheap electricity produced at nuclear power plants. It is especially valuable to countries with existing nuclear infrastructure, and hydrogen can be produced regardless of weather conditions.

9.The world is now focused on hydrogen energy.

Major countries — including the U.S., EU, South Korea, and Japan — see hydrogen as a key future energy source and are making significant investments.

For example, the U.S. is investing $8 billion in hydrogen hubs, while the EU plans to invest over €200 billion by 2030.

South Korea is allocating around $2.3 billion, and Japan is advancing a hydrogen society through public-private cooperation.

Global companies are also taking action.

Firms like Air Liquide, Linde, Toyota, Hyundai, Siemens, as well as Korean groups like SK, POSCO, and Hyundai Motor, are investing across the full hydrogen value chain.

Hydrogen can decarbonize many sectors — from transportation and steel to energy storage and power generation.

In the end, hydrogen is not just an energy source — it is a key to a sustainable future.

10.Hydrogen has great potential, but there are still key challenges.

Green hydrogen is expensive, and storage and transport are difficult.

We also lack unified global safety standards.

To solve this, we need better electrolysis efficiency and improved catalysts.

Advanced storage methods like high-pressure tanks, ammonia, or metal hydrides can help.

Building hydrogen hubs and flexible systems is also essential.

11.In conclusion, hydrogen is a key enabler of the clean energy transition. Its diverse production methods allow flexible strategies tailored to local resources and needs, with green hydrogen as the ultimate goal. For now, transitional options like blue and turquoise hydrogen play a vital role in reducing emissions. With continued innovation, investment, and global cooperation, hydrogen is set to become more than just a fuel — it will be a catalyst for a truly sustainable energy future.”

12.This concludes my presentation. Thank you.

“Hello, everyone. My name is Jang Jiwoo, class 3714. Today, I’m going to talk about ‘The Role and Ethical Dilemma of Nursing in an Aging Society’.”

1. Reason for Selecting the Topic

“Korea is already entering a super-aged society, and the professionalism and role of nurses are becoming more and more important. I became curious about how nurses care for the elderly, so I chose this topic.”

2. What is Aging?

“Aging means an increase in the proportion of elderly people in the total population. When people aged 65 or older make up over 14% of the population, we call it an ‘aged society’. When it reaches 20% or more, it’s a ‘super-aged society’. This term is mainly used in Korea and Japan.”

3. The Primary Role of a Nurse 1

“Nurses manage chronic diseases like dementia and Parkinson’s disease. They are also responsible for medication management, rehabilitation, and educating the patient’s family.”

4. The Primary Role of a Nurse 2

“Nurses also provide visiting care, run fall prevention programs, and take care of terminally ill patients. They help protect the dignity of patients until the end of their lives.”

5. Ethical Dilemma

Intro

: “Nurses often face ethical dilemmas when caring for elderly patients. One example is when a dementia patient wants to go outside, but there’s a risk of getting lost. Should nurses respect their freedom or protect their safety?”

Example

: “Another dilemma is about stopping life-sustaining treatment. If the patient doesn’t want it, but the family does, the nurse must act as a mediator between both sides. This is a very difficult situation.”

6. Real Case 1

“In one real case, an 85-year-old terminal cancer patient wanted hospice care and refused life-sustaining treatment. However, his family opposed it. The nurse had to decide whether to support the patient’s will or follow the family’s wishes.”

7. Real Case 2

“Another case: an elderly woman who had fallen before wanted to go out and see cherry blossoms for the last time. The nurse had to choose between taking the risk or following the guardian’s instructions to keep her inside.”

8. Nurse’s Posture and Competencies

“To deal with these situations, nurses need strong ethical thinking, good communication skills, and the ability to handle emotional labor. It’s not just a physical job, but a deeply human one.”

9. Realization

“Through this research, I learned how important nurses are in an aging society. Beyond treatment, they have great ethical responsibilities. I want to become a nurse who respects both life and people.”

10. Thank you for listening.