Let’s say I find an article online. I contact the writer of this article and, without expecting anything in return, they agree to give me full, unrestricted rights to use any portion of their article, including directly using quotes from the article, without citing it. The agreement even allows me to claim the work as my own, even though it isn’t.

Because I have all the rights to do this, would this be considered plagiarism?

I am applying to 8 schools in research area X of applied physics. I have some research experience in a very closely related area and one publication in a solid journal.

One of those schools has a professor working on very interesting topics in area Y. I emailed him and his reply was quite positive, saying I have an excellent record, but had the usual “the admissions committee makes the decisions not me, but I will be sure they carefully consider your application”. I also know at this school we don’t pick advisors till the summer of the first year. I have 3 years of experience in the theoretical side of area Y, 3 journal publications and a few talks/posters.

There are 3 scenarios I can think of:

  1. Mention both X and Y, but I’m worried it would hurt my chances. I could focus mainly on X and mention Y in 1 or 2 sentences in my intro. I would also add 2 sentences to mention this professor’s research near the end + 2 more professors from area X.

  2. Mention only X, it makes me look more focused and this university has many more faculty in that area, but I’m worried this will burn bridges with the professor from area Y.

  3. Mention only Y. I wouldn’t be very keen on this as I would waste the tens of hours I spent on a mini-literature review of area X before writing my statement.

Edit: To clarify, I’m not asking whether I should mention my work on area Y or not. I certainly did mention all my prior research experience. I am asking whether it’s okay to mention future interest in BOTH areas. e.g. “I am interested in topics A, B, C (from area X). Moreover, I am interested in topic D (from area Y).”

Some material seems like it would have been very easy to teach the students. For example, it doesn’t seem like it would be very hard for a teacher to teach their students how to do any problem that uses the formulae in http://speedydeletion.wikia.com/wiki/List_of_mole_concept_formulae which I created well enough that most of the students could correctly answer most of those questions on a test. Do they teach so much material that the class can’t keep up with learning it fast enough to get high marks? Could the amount of material they can teach in each course and have the students keep up with learning well enough to get high marks be more if they taught it in a more concise way? If teachers in general taught their students better, would they have to mark them harder because of the limited space for jobs that rely on the knowledge or could researchers make more space for those jobs because there would be more people with high enough marks to suit the job. For some of those jobs, could the world benefit from having more people who have the skills to do that job? Maybe in some courses, nobody can get perfect and teachers can’t teach in a way that will give more people high marks on tests because some of the questions rely on reasoning and thinking of ideas which is a skill that some people have but can’t be taught.

I need to choose a supervisor for my upcoming term project. I asked one of my professors if he had any ideas for a project for a student with my skill set, and he offered to supervise me as he wasn’t teaching during the project timeline.

Getting to the point, this was way early in the course, and my professor has witnessed me do terribly in the course so far. My interests lie in the subject matter of this course, and I really enjoy this prof and want to do well, but for some reason, the way we are tested really throws me off and I end up overthinking and eventually screwing up the answer.

I’m worried about bringing the topic of my term project up to him again, because I’m worried he will not be impressed with me and refuse to work with a student doing terribly in his course.

Should I bother talking to him about it, or should I disregard the possibility that he could be my supervisor?

Thanks for any help about this!

Anyone please provide the ideas or areas of research in building projects in Machine Learning and Natural language processing for a post graduate degree (MS-research) program.

Initially i thought of chatbot but i came across many apis and companies are already building such things.

Any ideas or the references from which Ideas can be cleared or polished is highly appreciable.

Thanks

How would a student best select a topic among several suggested especially if it’s her/his first time doing an internship and the internship period is short (2 months or 6 months)?

What are important things to consider?

Also, any suggestions to select an internship topic that would contribute to the skills needed to work in the industry (i.e. purely academic versus industry-related topic)?

PS: The topics suggested are accompanied with a select of corresponding papers.

I have been an employee of a University at a senior position for 26 years. During this period I have invented and subsequently filed 11 patents (UK, PCT) out of which at least 3 are nearing commercialisation via third party companies. All patents have my university as the applicant and my name appears as the main inventor in all. At this point in time, my university is making me redundant under the pretext of restructuring. The redundancy is unfair, unjustified and is designed to get rid of me. The question is what rights do I have in claiming those patents ? I appreciate your response

I am trying to figure out which template to use for the journals

IEEE Transactions on Pattern Analysis and Machine Intelligence

and

IEEE Transactions on Multimedia

Both are journals published by IEEE comsoc, but both also are transactions.

On the IEEE template info page I find separate template for both of them:

http://www.ieee.org/publications_standards/publications/authors/author_templates.html