# data[].attributes.headline
What are the problems faced by students 

# data[].attributes.subject
What are the problems faced by students 

# data[].attributes.body
2025508019

# data[].attributes.headline
The rise of “Corporate Dravidian English”

# data[].attributes.subject
The rise of “Corporate Dravidian English”

# data[].attributes.body
2025506072

# data[].attributes.body
Communication skills in engineering careers.

# data[].attributes.headline
The Impact of Neuralink-style BCIs: Speculative Research on How Direct Brain-Computer Interfaces Might Render Language Learning Obsolete for Technical Collaboration

# data[].attributes.subject
The Impact of Neuralink-style BCIs: Speculative Research on How Direct Brain-Computer Interfaces Might Render Language Learning Obsolete for Technical Collaboration

# data[].attributes.body
1. Introduction

Brain‑computer interfaces (BCIs), particularly those modeled after Neuralink, are revolutionizing the way humans interact with technology. Initially developed as assistive devices for individuals with paralysis or communication impairments, advances in BCIs now hint at far broader possibilities, including enhancing cognitive capabilities and transforming language acquisition itself (Fiani et al., 2021). Simultaneously, the field of BCI‑based language decoding has advanced rapidly, moving from interpreting neural signals to enabling intelligent, language‑driven interactions (Zhao et al., 2024). This emergent intersection raises a provocative question: could BCIs one day render traditional language learning mechanisms obsolete, especially in technical collaborations? This paper explores that speculative frontier, examining both technological developments and the cognitive implications.

2. Statement of the Problem

While remarkable progress has been made in translating neural signals into linguistic output, current BCI systems remain limited—they are experimental, dependent on complex computational pipelines, and far from enabling direct concept-to-concept transmission (Fiani et al., 2021). Moreover, the cognitive neuroscience of language underscores how language learning shapes brain structure, making it unclear whether bypassing this process via direct neural interfaces is feasible or desirable (Neuroscience of multilingualism, n.d.)There is, therefore, an urgent need to investigate the potential, challenges, and implications of BCIs as alternative pathways to technical communication and collaboration—potentially displacing language acquisition.

3. Research Questions

1. What are the current capabilities and limitations of BCI technologies in decoding and transmitting linguistic content?

2. How does brain plasticity influenced by language learning (e.g., structural changes in bilingual brains) compare with proposed BCI-mediated knowledge transfer?

3. Could BCIs realistically replace or supplement traditional language learning in technical collaboration contexts? If so, what are the critical technical, cognitive, and ethical requirements?

What are the potential implications—both enabling and problematic—of obviating language learning through BCI-mediated communication?

4. Literature Review

4.1 Technical Advances in Language-Decoding BCIs

Research has made foundational headway in translating neural signals into linguistic information. Silent BCI interfaces have been developed that decode imagined speech—including phonemes, vowels, consonants, words, and even sentences—from EEG data (Herff et al., 2015; Pei et al., 2011; Martin et al., 2016) . Meanwhile, ICI (Interpretation–Communication–Interaction) frameworks trace BCI evolution from basic signal interpretation to intelligent interaction via multimodal, deep learning–enabled architectures (Zhao et al., 2024). Additionally, computational pipelines like EEGNet (Lawhern et al.) and hybrid deep architectures (e.g., CNN‑LSTM, GRU) have dramatically improved feature extraction and classification reliability—critical for accurate language decoding (Applied Sciences review, 2023)

4.2 BCIs in Language Rehabilitation and Learning

BCIs have also shown promising results in language rehabilitation. Musso et al. (2022) demonstrated that BCI-based language training can accelerate word processing in post-stroke aphasia patients, normalizing event‑related potentials (ERPs) and outperforming spontaneous recovery benchmarks (BCI and human factors review, n.d.). Further, the integration of large language models with EEG-based BCIs is being proposed to deliver adaptive, personalized language rehabilitation—tailoring vocabulary, corrective feedback, and difficulty in real time (Hossain & Banik, 2025)

4.3 Neuroscience of Language Learning

Language learning, especially in multilingual individuals, induces distinct structural brain changes—such as increased grey matter density in the inferior parietal cortex and enhanced white matter integrity via myelination (Neuroscience of multilingualism, n.d.). These neuroplastic changes reflect the deeply embodied and adaptive nature of language acquisition. This raises significant questions about whether BCI-mediated transmission bypasses these critical structural transformations, and if doing so might compromise deeper cognitive integration.

4.4 Technical, Ethical, and Practical Challenges

Assessments of Neuralink reveal substantial unresolved risks—technical limitations, invasive surgical requirements, long-term safety concerns, as well as regulatory and ethical complexities (Fiani et al., 2021; Neuralink wiki, n.d.). Interpretations of Neuralink’s capabilities must also be cautious: many speculative claims (e.g., instantaneous learning, information download) lack empirical basis and overstate feasibility (SciTech Frontiers critique, n.d.)

5. References

Fiani, B., Reardon, T., Ayres, B., Cline, D., & Sitto, S.R. (2021). An Examination of Prospective Uses and Future Directions of Neuralink: The Brain‑Machine Interface. Cureus.

Zhao, X., et al. (2024). A Review of Brain–Computer Interface‑Based Language Decoding: From Signal Interpretation to Intelligent Communication. [ICI architecture and BCI evolution].

Applied Sciences. (2023). A Review of Brain–Computer Interface‑Based Language Decoding — feature extraction, classification pipelines.

Brain‑computer interfaces and human factors: the role of language and cultural differences. PMC (n.d.) — language rehabilitation.

Hossain, I., & Banik, M. (2025). Hybrid EEG‑Driven Brain‑Computer Interface: A Large Language Model Framework for Personalized Language Rehabilitation. arXiv.

Neuroscience of multilingualism. Wikipedia (n.d.) — neuroplasticity in bilingual learning.

Neuralink. Wikipedia (2025). — human trials, regulatory hurdles

An Examination of Prospective Uses and Future Directions of Neuralink (Fiani et al., 2021) and SciTech Frontiers commentary: Neuralink's Ambitious Journey… — caution about speculative claims.

# data[].attributes.body
The Impact of Social Media on Mental Health

# data[].attributes.body
APPLICATION FOR PROVERTY ALLEVIATION

This innovative app is designed to provide access to essential service ,opportunities and resources in one platform, helping individuals and families improve their quality of life.

Millions of people across the global still struggle to access basic needs such as food , healthcare , education and financial services.

Primary goal for uplifting those things we need an application to make a world better by forming community .

FEATURES :

It gives information about government schemes , skill training and jobs , health care support .

It connect with application like NGOs , food bank and other for food and shelter assistant to ensuring no one goes hungry or homeless .

MICRO-SAVING FUTURES AND ALLOWING POOR FAMILY TO MANAGE MONEY :

Collaborate with NGOs: Partnering with trustworthy organizations ensures funds and services reach those who need them most.

Prioritize Verification: Ensure user requests are validated via reputable officials or community leaders to maintain authenticity.

Empower Users: Enable poor individuals to post needs directly, access health camps, skills development, and employment opportunities from their mobile device

KEY FEATURES FOR LOCALIZATION

Local Events and Services: Integrate event calendars, notifications, and resource directories specific to the community.

User Profiles and Customization: Allow residents to personalize their profiles and indicate interests or needs.

Discussion Forums and Messaging: Enable sharing of announcements, requests, and ideas tailored to local experiences.

Real-Time Updates: Provide alerts about emergencies, opportunities, or local news to keep everyone

Geolocation and Accessibility: Use location data to connect people with nearby assistance and ensure the app is easy to use for all community members

Feedback Mechanisms: Facilitate in-app surveys and feedback tools so the app can evolve with community.

BUILDING TRUST AND SUSTAINING PARTNERSHIP

Engage partners in co-designing features and campaigns, so the app matches real needs and feels truly local.

Be transparent about your goals, share progress openly, celebrate successes, and welcome ongoing feedback from partners and users.

Prioritize regular, open communication and joint events to maintain visibility and strengthen the partnership over time.

Strategic, inclusive alliances with these local partners ensure the app is embraced, promoted, and genuinely impactful within the community.

TRUSTED ORGANIZATION IN INDIA

Goonj: Highly respected for its grassroots disaster relief, humanitarian aid, and community development work across 23 states, focusing on basic needs like clothing, education, and infrastructure

Habitat for Humanity India: Known for constructing affordable housing and providing housing-related assistance directly to low-income families nationwide.

CARE India: Works across 14 states to empower marginalized women and children through healthcare, education, disaster relief, and sustainable livelihoods, serving millions annually.

Rural Health Care Foundation (RHCF): Widely trusted for affordable, high-quality primary medical care to low-income rural communities, operating numerous centers in underprivileged

Doctors For You: Delivers critical healthcare and disaster relief in poverty-stricken regions and recognized for impact

by connecting with this we can able to communicate easily with poverty people .

HOW FOOD DISTRIBUTION APP WORK

Connecting Donors and Recipients:

Apps like Muskaan and Banana enable individuals, restaurants, and event organizers to post details about surplus food that can be picked up by people in need or by NGOs serving impoverished communities.

Notifications and Location-Based Services:

The app sends real-time alerts to low-income users about available food in their locality, allowing them to claim and collect food directly.

Quality and Trust:

Some platforms have quality checks, ratings, or work closely with NGOs to ensure food safety and user confidence.

Inclusivity Features:

For communities where not everyone has a smartphone, NGOs can register users and use SMS to notify them about food pickup opportunities at nearby locations.

Detailed listing by donors with food type, quantity, shelf life, photos, and pick-up window.

Verification, reviews, or ratings to build mutual trust and ensure quality donations.

Incentives like “karma points” or rewards to engage regular donors and increase participation.

Social modules or story features that encourage sharing experiences and tracking impact, helping to build community pride and continuous engagement.

Partnerships with local NGOs or volunteers to reach those without app access, maximizing the system’s impact.

Transportation Management Systems

These systems optimize delivery routes in real-time, improve communication between stakeholders, and provide visibility over the transportation process. This minimizes delays, ensuring perishable foods arrive fresh and on time, reducing spoilage.

Decentralized Food Redistribution Platforms:

These platforms use AI to connect surplus food from retailers, restaurants, and farms directly with food banks or needy recipients. This reduces food waste by shortening the supply chain and expanding the capacity to serve diverse communities effectively.

BENEFITS :

This application removes the barriers of lack of awareness and high cost. Also save time and builds confidence

we make a living by what we get ,but we make a life by what we give.

💞

# data[].attributes.body
Statement of Problem

Financial markets are highly complex and volatile, making it difficult for human traders to consistently profit. Traditional strategies often fail to process real-time data at scale or adapt to sudden market shifts. While Artificial Intelligence (AI) offers solutions through advanced data analysis and automation, its use in trading introduces new challenges. These include the risk of algorithms overfitting to historical data, high costs, a lack of transparency, and vulnerability to technical errors. This raises critical questions about the true effectiveness, reliability, and accessibility of AI-driven trading systems.

Research Questions

Primary Question: How effective are AI-based trading systems in improving profitability and risk management compared to traditional methods?

Secondary Questions: What factors (data quality, model design) most influence AI trading performance? How do these systems mitigate or amplify trader bias? What are the key risks and limitations? How accessible are these tools for retail traders?

Objectives & Aims

The primary objective is to design and evaluate an AI-driven trading system for superior risk-adjusted returns. Specific aims include:

1. Investigating optimal AI methodologies for market prediction.

2. Designing and implementing a robust automated trading strategy with integrated risk management.

3. Rigorously backtesting the system's performance against benchmarks.

4. Analyzing practical challenges like transaction costs and overfitting.

Hypotheses

Core Hypothesis: An AI-driven strategy will generate significantly superior risk-adjusted returns (Sharpe Ratio) compared to passive benchmarks after costs.

Specific Hypotheses: More complex AI models will outperform simpler ones; incorporating alternative data (e.g., sentiment) will improve accuracy; the AI system will exhibit lower maximum drawdowns; and transaction costs will significantly impact net profitability.

Research Design

The study employs a quantitative, experimental, and simulation-based design. It involves:

1. Data Collection & Preprocessing: Sourcing historical market and alternative data, followed by cleaning and feature engineering.

2. Model Development: Training and comparing AI models (e.g., LSTMs, XGBoost) against traditional benchmarks.

3. Backtesting: Simulating the strategy's performance on historical data with realistic cost assumptions.

4. Evaluation: Using statistical tests to compare key performance metrics (Sharpe Ratio, Max Drawdown) and validate robustness through walk-forward analysis.

Conclusion

AI trading presents a powerful tool for enhancing market analysis and executing disciplined, emotion-free strategies. However, this study concludes that it is not a guarantee of profits. Its success is heavily dependent on robust strategy design, relentless risk management, and overcoming real-world challenges like overfitting and transaction costs. Therefore, the greatest potential lies not in autonomous AI, but in leveraging it as a sophisticated tool to augment informed human decision-making.

# data[].attributes.body
How Anime Represents Japanese Society and Culture

If you wish to Understand Japan, Just watch anime.

It's not about action or fantasy — it's a reflection of Japanese life. By watching Attack On Titan, Vinland Saga its not only speaks about action or drama it reflects the culture of Japan, anime portrays values that are solidly entrenched in Japan's culture.

It also has the courage to approach actual issues such as isolation (hikikomori) and the effects of technology, speaking out for issues that are usually hidden within society. Meanwhile, anime mixes myths, history, and contemporary life, illustrating how Japan smoothly combines tradition and change.

Ultimately, anime is storytelling on a deeper level — it is a cultural bridge that teaches the world about Japan's values, struggles, and heritage in a way no textbook could ever dream of.

References

"Teaching Japanese Culture Through Anime: A Case Study." Asian Cinema, 2007.

https://intellectdiscover.com/content/journals/10.1386/ac.18.2.197_1

The Journal of Anime and Manga Studies. https://iopn.library.illinois.edu/journals/jams/

"Sociology in Japan." Wikipedia. https://en.wikipedia.org/wiki/Sociology_in_Japan

Image uploaded from: https://www.nytimes.com/2021/02/24/business/japan-anime.html

# data[].attributes.body
Recruiters’ perceptions of “WhatsApp English” in internship communication

# data[].attributes.body
bharatha natiyam

# data[].attributes.body
importance of time management in daily life

# data[].attributes.body
future trends

# data[].attributes.headline
2025508044                                                           Engineering students use of REDDIT/ QUORA in learning

# data[].attributes.subject
2025508044                                                           Engineering students use of REDDIT/ QUORA in learning

# data[].attributes.body
Health belief and motivation among youth. From andhra pradhesh in tirupathi

# data[].attributes.headline
What are the problems faced by students 

# data[].attributes.subject
What are the problems faced by students 

# data[].attributes.body
PARALLEL UNIVERSE AND TIME TRAVEL

# data[].attributes.headline
The Impact of Social Media on Mental Health

# data[].attributes.subject
The Impact of Social Media on Mental Health

# data[].attributes.body
Research Paper: The Impact of Social Media on Mental Health

1. Introduction

Social media has become an integral part of daily life, especially among young adults and adolescents. Social media platforms such as Instagram, TikTok, and Snapchat affect users' emotional well-being and self-esteem. Although they provide access and connection to mental health services, evidence suggests significant risks as well—such as heightened anxiety, depression, cyberbullying, sleep disturbances, and poor self-image. Current research highlights that while moderate usage can have neutral or positive impact, heavy usage is linked to mental health issues, particularly among vulnerable populations

The Guardian

The Washington Post

WIRED

2. Statement of the Problem

Although thorough inquiries have been conducted, the psychological impact of social media is still uneven and under-examined. Although excessive use is linked with increased depressive symptoms, especially among tweens, moderate use can actually contribute to mental health

The Guardian

. There is still a dearth of information on causality, thresholds for risky use, and benefits for specific user types.

Problem statement: There is an urgent need to identify the conditions—such as patterns of use, platform design, and demographic factors—under which social media use negatively impacts or enhances mental well-being.

3. Research Questions

RQ1: How are various types of social media use (e.g., length, site, timing) associated with outcomes for mental health including depression, anxiety, and sleep?

RQ2: What are the conditions under which social media use is a protective or supportive element of mental well-being?

RQ3: How do variables such as age, gender identity, and platform design influence the mental health effect of social media?

RQ4: What are the long-term consequences of social media exposure on mental health in various cultural and developmental settings?

4. Literature Review

4.1 Usage Patterns and Mental Health Outcomes

A JAMA Network Open longitudinal study found increasing social media use among tweens (9–13 years old) was linked to a 35% increase in symptoms of depression, indicating use precedes subsequent mental health deterioration

The Washington Post.

In contrast, a large Australian survey (n ≈ 17,000) found moderate users (1–3 hours/day) had improved mental well-being and sense of control compared to low or high users—emphasizing moderation as critical

The Guardian

4.2 Negative Effects: Body Image, Comparison, and Validation Seeking

The U.S. Surgeon General issued a call for warning labels on social media websites after observing adolescents exceeding 3 hours/day of use having twice the risk of anxiety and depression, with a 47% increase in suicidal ideation

TIME

A Wired analysis found that sites such as Instagram promote body dissatisfaction and self-objectification, with excessive exposure to idealized media lowering satisfaction with one's body

WIRED

4.3 Prevalence & Statistical Insights

General statistics indicate social media's pervasive reach:

60–63% experience negative impacts on self-esteem or depression following use

Electro IQ

Gitnux

57% of the users take a break to safeguard their mental well-being

Electro IQ

40% feel worse when they compare their lives with the lives of others on the internet

WifiTalents

Worldmetrics

4.4 Platform-Specific Effects

Descriptive research among Chennai students revealed:

78.3% were using social media for more than 2 hours a day; 70% were depressed; 78% experienced addiction; 71% contemplated suicide; 73.6% had poor sleep; 55.6% had low self-esteem and 60.6% experienced false connection

Charts for Compensation

The following are some statistical numbers that you can represent graphically in your paper:

Metric Value Source

Moderate users feeling in control 61%

The Guardian

Increased depressive symptoms in tweens 35%

The Washington Post

Users negatively affected self-esteem 60–63%

Electro IQ

Gitnux

Social media-induced depression in teens 28–29%

Electro IQ

Worldmetrics

Chennai students with social media addiction 78%

PMC

5. Conclusion

The evidence supports a two-faced effect of social media on mental health: moderate use could be innocuous or positive, while excessive or uncontrolled use often relates to poor results such as depression, sleep problems, and body dissatisfaction. Causal mechanisms, thresholds of use, platform design, and protective factors—particularly in cross-cultural and developmental contexts—must be prioritized in future studies.

# data[].attributes.body
𖤓"A three second gap can speak louder than hundred words!!

Linguistic Micro-Analysis tells us why?"

1. 📑Introduction

Linguistic micro analysis examines language at its smallest functional units, such as phonemes, morphemes, syntax, and discourse markers. Unlike macro-level studies, it focuses on fine-grained structures that reveal meaning construction in communication (Stubbs, 2001). With advancements in corpus linguistics and computational tools, micro analysis has become an important approach in applied linguistics and education (McEnery & Hardie, 2012).

2.🔍 Statement of the Problem

Much linguistic research prioritizes macro-level patterns, overlooking micro features like pauses, fillers, and turn-taking. This gap limits deeper understanding of communication, particularly in classrooms and digital discourse (Gee, 2014).

3.💡 Research Questions

Which frameworks and tools best support micro analysis?

How do micro features shape meaning and interaction?

What challenges hinder micro-level linguistic studies?

4. 📜Literature Review

Theoretical Basis: Stubbs (2001) and Gee (2014) highlight micro analysis as central to discourse studies.

Applications: Mercer (2010) shows micro features influence classroom engagement; Tannen (2007) links conversational style to power relations.

Computational Tools: McEnery & Hardie (2012) emphasize corpus methods; Biber et al. (1998) provide systematic variation analysis.

Challenges: Subjectivity and multimodal complexities remain barriers (Wetherell, 2012).

5. 📝Data Highlights

Table 1: Example Micro Features in Discourse

Feature

Frequency

Function

Fillers

35

Planning, hesitation

Repetition

20

Emphasis, repair

Overlaps

15

Turn-taking strategy

Pauses

40

Cognitive processing

Bar Chart: Pauses highest, overlaps lowest.

Pie Chart: Pragmatic features – Emphasis (50%), Agreement (25%), Clarifications (15%), Interruptions (10%).

Histogram: Shorter words dominate responses.

Box Plot: Teacher turns longer than student turns.

6.⌛ Conclusion

Linguistic micro analysis reveals how small language units drive communication. It enriches understanding of classroom talk, conversation, and digital texts. By combining corpus tools and visual data representation, micro analysis can become a systematic, replicable research method.

📌References

Biber, D., Conrad, S., & Reppen, R. (1998). Corpus Linguistics: Investigating Language Structure and Use. Cambridge University Press.

Gee, J. P. (2014). An Introduction to Discourse Analysis: Theory and Method. Routledge.

McEnery, T., & Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice. Cambridge University Press.

Mercer, N. (2010). The Analysis of Classroom Talk: Methods and Methodologies. British Journal of Educational Psychology, 80(1), 1–14.

Stubbs, M. (2001). Words and Phrases: Corpus Studies of Lexical Semantics. Blackwell.

Tannen, D. (2007). Talking Voices: Repetition, Dialogue, and Imagery in Conversational Discourse. Cambridge University Press.

Wetherell, M. (2012). Discourse and Practice: New Tools for Critical Discourse Analysis. Routledge.

# data[].attributes.body
“Silent Discord” culture (text-only tech communities) and written fluency – A double-edged sword?

# data[].attributes.headline
“Silent Discord” culture (text-only tech communities) and written fluency – A double-edged sword?

# data[].attributes.subject
“Silent Discord” culture (text-only tech communities) and written fluency – A double-edged sword?

# data[].attributes.headline
Cyber Shadows: Investigating Online Harassment on Instagram in South India's Teen Demographic

# data[].attributes.subject
Cyber Shadows: Investigating Online Harassment on Instagram in South India's Teen Demographic

# data[].attributes.body
Animal shelters for stray animals using AI in Indian cities

# data[].attributes.body
"The discipline of Emotion: Anger regulation and goal attainment".

# data[].attributes.body
Climate change & health

# data[].attributes.body
AUTOMATION FOR DAY TO DAY LIFE

# data[].attributes.body
The Silent Thief of time :The Study Of Procrastination Among Youth And It's Solutions

# data[].attributes.body
engineering students adoption of AI avatars for interview practice - trust and effectiveness

# data[].attributes.headline
Influence of caste/regional identity on participation in English debates – South India-specific dynamics.

# data[].attributes.subject
Influence of caste/regional identity on participation in English debates – South India-specific dynamics.

# data[].attributes.body
" LIGHT SPEED GIVES US TIME TRAVEL"

# data[].attributes.headline
AI power real time feedback virtural presentations does it reduce publicspeaking anxiety

# data[].attributes.subject
AI power real time feedback virtural presentations does it reduce publicspeaking anxiety

# data[].attributes.body
Educational Skills: Foundations, Challenges, and Future Directions

# data[].attributes.body
The Impact of Neuralink-style BCIs: Speculative Research on How Direct Brain-Computer Interfaces Might Render Language Learning Obsolete for Technical Collaboration.

# data[].attributes.body
THE EFFECT OF YOU TUBE TUTORIALS ON SELF LEARNING ENGLISH AMONG ENGINEERING STUDENTS

# data[].attributes.body
Role of Artificial intelligence and machine learning in Rubber and plastic technology...

# data[].attributes.body
The Downfall of Traditional Jobs in the Age of AI – Dependency and Adaptation Study

# data[].attributes.headline
 REG NO 2025508022                                             THE INFLUENCE OF AI ON CREATIVE WRITING

# data[].attributes.subject
 REG NO 2025508022                                             THE INFLUENCE OF AI ON CREATIVE WRITING

# data[].attributes.body
Butterfly Effect : Alternate Endings

# data[].attributes.headline
rubber and plastic applications in aerospace and automotive

# data[].attributes.subject
rubber and plastic applications in aerospace and automotive

# data[].attributes.body
AI powered real time feedback invirtual presentations does it reduce public speaking anxiety?

# data[].attributes.body
2025508037

''GLOBALIZATION AND WORLD ECONOMIC GROWTH''.

# data[].attributes.body
FEAR OF EVERYTHING AND HOW TO OVRCOME ALL THE FEARS AND BE STRONG IN THE SOCIETY

# data[].attributes.headline
Role of NANOMATERIALS and POLYMER COMPOSITES in FORENSIC TRACE ANALYSIS

# data[].attributes.subject
Role of NANOMATERIALS and POLYMER COMPOSITES in FORENSIC TRACE ANALYSIS

# data[].attributes.body
Engineering students use of chatgpt to bypass plagiarism checkers

# data[].attributes.body
psycological and motivational factor

# data[].attributes.body
Impact of engineering jargon mastery on social English fluency – The “technical crutch” phenomenon.

# data[].attributes.body
KONGLISH

# data[].attributes.body
6. Impact of engineering jargon mastery on social English fluency – The “technical crutch” phenomenon.

# data[].attributes.body
cultural heritage and indigenous tourism

# data[].attributes.headline
Effectiveness of “Stand-up Comedy Workshops” for reducing speaking anxiety – Experimental intervention.

# data[].attributes.subject
Effectiveness of “Stand-up Comedy Workshops” for reducing speaking anxiety – Experimental intervention.

# data[].attributes.body
2025508061

Students perception of bilingual instruction in engineering colleges

# data[].attributes.body
AI and Machine Learning: Transforming Accessibility for Visually and Hearing Impaired Individuals

# data[].attributes.body
THE SEVEN WONDERS OF THE WORLD

# data[].attributes.headline
" code switching guilt" among the students to make a qualitative study 

# data[].attributes.subject
" code switching guilt" among the students to make a qualitative study 

# data[].attributes.body
Engineering students use of reddit/quora in learning

# data[].attributes.headline
Genz specific behaviors ( meme learning , silent discord ) lack academic attention 

# data[].attributes.subject
Genz specific behaviors ( meme learning , silent discord ) lack academic attention 

# data[].attributes.body
future treands and innovations

# data[].attributes.headline
“Konglish” (Korean + English) loanwords in South Indian engineering slang 

# data[].attributes.subject
“Konglish” (Korean + English) loanwords in South Indian engineering slang 

# data[].attributes.body
“Konglish” (Korean + English) loanwords in South Indian engineering slang 

# data[].attributes.body
future treand and innovation

# data[].attributes.body
Igniting Innovation: Exploring the Revolutionary Impact of RPT

# data[].attributes.body
The Importance of Clear Communication

# data[].attributes.body
future treands and innovation

# data[].attributes.body
WESTERNIZATION IN INDIA

# data[].attributes.body
How language learning apps affect students confidence compared to classroom learning

# data[].attributes.body
engineering students over reliance on grammarly for academic paper a dependency

# data[].attributes.body
culturalism

# data[].attributes.headline
                    THE INFLUENCE OF AI ON CREATIVE WRITING

# data[].attributes.subject
                    THE INFLUENCE OF AI ON CREATIVE WRITING

# data[].attributes.headline
SARCASM COMPREHENSION GAPS IN ENGLISH AMONG TAMIL DOMINANY STUDENTS PROGAMATIC FAILURE ANALYSIS

# data[].attributes.subject
SARCASM COMPREHENSION GAPS IN ENGLISH AMONG TAMIL DOMINANY STUDENTS PROGAMATIC FAILURE ANALYSIS

# data[].attributes.body
GitHub as a Collaborative Writing Space

# data[].attributes.body
Industry-education misalignments

# data[].attributes.body
"The Role of Introversion in Sensory Processing Sensitivity"

# data[].attributes.body
36. Impact of English movies and web series on spoken English skills of engineering students.

# data[].attributes.body
22.Impact of Korean drama subtitles on English reading speed – Unexpected language transfer.

# data[].attributes.body
GitHub as a Collaborative Writing Space

# data[].attributes.body
DISCUSSION ON NON VERBAL COMMUNICATION(LANGUAGE BEYOND WORDS!)

# data[].attributes.body
“Energy Optimization in Data Centers Using AI-Driven Dynamic Cooling Systems: A Simulation-Based Study.”

# data[].attributes.body
"The Archaeology of Roman Pottery in Britannia"

# data[].attributes.headline
Algorithmic Anxiety: Investigating fears among students that their self-written English is inferior to AI-generated text, leading to inhibited expression

# data[].attributes.subject
Algorithmic Anxiety: Investigating fears among students that their self-written English is inferior to AI-generated text, leading to inhibited expression

# data[].attributes.headline
Role of social media in enhancing English vocabulary among engineering students in South India.

# data[].attributes.subject
Role of social media in enhancing English vocabulary among engineering students in South India.

# data[].attributes.body
“Microplastics in Urban Soil”

# data[].attributes.headline
         Igniting Innovation: Exploring the Revolutionary Impact of RPT

# data[].attributes.subject
         Igniting Innovation: Exploring the Revolutionary Impact of RPT

# data[].attributes.body
"Cognitive, Social, and Emotional Benefits Of Video Game Engagement : A Multidisciplinary Perspective"

# data[].attributes.body
what did humans do after their death

# data[].attributes.headline
impact of korean drama subtitles on english reading speed

# data[].attributes.subject
impact of korean drama subtitles on english reading speed

# data[].attributes.body
Role play by chatgpt in engineering student life

# data[].attributes.body
The lost Art of getting lost...🙃

# data[].attributes.body
IMPACT OF ENGLISH ON INDIAN LANGUAGE

# data[].attributes.body
Impact of Racism in the Human Society

# data[].attributes.body
2025506044

Topic:

"Effectiveness of “Stand-up Comedy Workshops” for reducing speaking anxiety"

# data[].attributes.body
The role of english podcasts in improving listening comprehension for south enginnering students

# data[].attributes.body
Exam in India and students mentality

# data[].attributes.body
Technolgy and daily life

# data[].attributes.body
"INFLUENCE OF AI CODING ASSISTANTS(GITHUB COPILOT)ON TECHNICAL DOCUMENTATION SKILLS -SKILL ATROPHY RISK"

# data[].attributes.wish_content.attachment_props.alternative_text
AI CODING ASSISTANTS ON TECHNICAL DOCUMENTATION SKILLS

# data[].attributes.body
Science and environment