# data[].attributes.body
Start writing an outline for literature review

# data[].attributes.body
Hydrokinetic energy presents a promising renewable energy solution for remote and off-grid communities by harnessing the kinetic energy of flowing water without the need for dams or large infrastructure.

# data[].attributes.body
Opening sentence of an ASEE abstract I'm working on: ChatGPT, a generative AI chatbot, can assist in writing articles, answering questions, and generating computer code when provided with reliable information sources. In this research, ChatGPT was used as a reflective tool for writing in a required introductory engineering course based on the 14 Engineering Grand Challenges of the National Academy of Engineering (NAE).

# data[].attributes.body
Rare Earth Elements are critical to many modern technologies, but the recovery and recyclability of these resources remains challenging.

# data[].attributes.body
Revise my drafts. Add a second section in my current draft.

# data[].attributes.body
``Why would a logging package need a JNDI lookup feature?'' This question illustrates the surprise of many log4j users when the Log4Shell (CVE-2021-44228) vulnerability was disclosed in 2021.

# data[].attributes.body
Oxidative stress is implicated in multiple chronic illnesses including multiple cancers, inflammatory diseases, and age-related diseases such as Alzheimer's.

# data[].attributes.body
Write out methods & figure captions

# data[].attributes.body
Charge transport in conjugated polymers has been a widely studied property due to the emergence of organic electronics.

# data[].attributes.body
Very clear and precise, defined the jargon, and showed the results clearly.

# data[].attributes.body
I like how the abstract defines technical jargon.

# data[].attributes.body
Done well: Background

Could do better: State how/why they know the reason for the differences is structural

# data[].attributes.body
Write out results.

# data[].attributes.body
What to include

# data[].attributes.body
How long to make it

# data[].attributes.body
Having a high-level view of the work that we are doing, getting the story correct, and sticking to it.

# data[].attributes.body
how to keep the information concise

# data[].attributes.body
Presenting novelty in the abstract while not being elaborate.

# data[].attributes.body
Starting is always hard. Making the flow is another toughest thing for me.

# data[].attributes.body
where is a good starting point like how much background is needed and understanding how much the audience will know

# data[].attributes.body
Trying to figure out the best order of information in the introduction (and what to include/exclude)

# data[].attributes.body
Curating a good flow and story whilst incorporating work and literature review.

# data[].attributes.body
Lack of knowledge

# data[].attributes.body
You can't really write them if you haven't written the other sections

# data[].attributes.body
Summarizing the main research idea with the keywords

# data[].attributes.body
Being redundant

# data[].attributes.body
where to start, what's main thing to be included