Analytical Research - Science topic

Dear Mouza Almehrzi

According to the APA method In academic writing

These are the components of the paper

1. Title Page

2. Abstract

4. Methods

5. Results

6. Discussion

7. References

Read more here

https://www.enago.com/academy/write-research-paper-apa-format/3. Introduction

Good luck

Selection bias which results from a sample that's not a representation of the entire population you studying.

Poor data quality mainly for secondary data analysis, where values were missing or inaccurate for most important variables.

Faulty interpretation

Interpreting correlation as causality

Confirmation bias is where the focus is biased towards preconceptions.

Information bias when retrospective data collection or self-reporting by participants is not as accurate or poor interviewing techniques.

Recall bias is when participants don't really remember previous events accurately.

Researcher bias

There is a difference between Descriptive Research and Analytical Research as discussed here in this lecture ->

Innovation creates a need for science.

Lou

Cheating is a very context specific and cultural thing. For instance manufacturing a patented medicine in the US/Europe which gets manufactured in India, South Africa, Brazil, Thailand without consent or following the Global TRIPS regime gets considered as cheating or forgery( See Texmati case, haldi powder patent). In India, Nepal and many Asian, African countries there was no notion of patent copyright etc, but in the West it has been existing for hundreds of years.

Now for instance I want to know how the same doctor treats the patients who works both in the government and private sector, taking his consent will destroy the whole purpose of the study. Consents were primarily aimed at clinical trials and any bodily interventions and later shifted to all aspects of research. I can go on and on,,,,, but I hope this much is useful.

I'm sorry, the question is not in my area of ​​expertise

Why you are not eluting the absorbed PAH from SPME fiber (probably PDMS) using ACN and transferring the eluent to LC for analysis?

I should also pinpoint that FLD is more sensitive in PAH analysis if you have and can combine it with the LC system.

Please see attached file.

Dear Osama Rahil Shaltami,

Yes, without research, many innovations would not arise.

Best regards,

Dariusz Prokopowicz

Dear Roshana Ali,

Research is the broadest perspective. Your specialisation (study discipline) and analytical capacity is the crucial matters for a research investigation. Can you please come out with an area of study that is convenient to you for researching (like Marketing, Human Resource, or Finance)?

Hope you get understood my point. GL.

Regards,

S. Senthilnathan.

Multivariate analysis

Milon Selvam Dennison

DX7 is better.

best rigards.

reza asadi

Please look at the following below links which may help you in your analysis:

http://www.ijsrp.org/research-paper-0517/ijsrp-p6564.pdf

Thanks

M.Castell, mirado en perspectiva tuvo mayor consistencia que Fukuyama en anticiparse a lo que en eso tiempo muy pocos creian en la sociedad informacional que se avecinaba.

Hoy los sistemas de salud están siendo sometidos a situaciones progresivamente disruptivas que necesitan de respuestas que incorporen en su core modelos innovadores con tecnologias como la bigdata.

Since you already have the title and abstract for your article, you can use the following tools from Elsevier and Springer to help you pick a right journal among those that belong to the respective publisher

http://journalfinder.elsevier.com

http://journalsuggester.springer.com

The output of these tools shows inter alia average article processing times, which is probably the best information you can get regarding your question, and impact factors of the journals and, if I recall correctly, also publication fees and open access fees.

Recall that in many journals you can publish free of charge if you do NOT make your article open access (i.e. it is available only to journal subscribers), but this should be checked for each journal separately.

Once you make a short list of potentially suitable journals, you can check whether they are covered by Scopus here

https://blog.scopus.com/posts/titles-indexed-in-scopus-check-before-you-publish

and also by Web of Science here

I'm very humbled by the depths of knowledge provided for my question.

Thank you!

If we make or think any research (as in some funded projects) as close ended, latter it may be opened anytime.

Thank yo to all and especially to Zubair Khan, But I specifically search for a research which analyze different kinds of mathematical explanation of shocks and represent a classification of different shocks. I know that the concept of shocks are varied in different markets, but I want a comprehensive mathematical overview of the Financial shocks.

Hi Vaishali, 

I am not aware of one specific dataset to measure learning in an online learning environment, but you might be able to find that in Kaggle Datasets. For example, issuing the query "education" brought several education-related datasets, such as the "students' academic performance dataset": https://www.kaggle.com/aljarah/xAPI-Edu-Data

and the "online courses from Harvard and MIT": https://www.kaggle.com/edx/course-study

The query on Kaggle datasets: 

Best Regards, 

Heitor

Dear Sir. Sai.

What do you want to do please?  Do you mean analytsis and design of agricultural experiments ?

With greetings

Thank you Mohannad and Aristidis Sir. Really Appreciated.

A priori power analysis is intended to avoid studies that can't address their primary question or studies that waste precious resources by being larger than they need to be. They also force you to define your primary question and think about clinically meaningful effect sizes. In that sense, I regard them as mandatory. As a result, I tend to reject grants or papers sent to me for review that don't include a sample size calculation. That said,  most statisticians eschew a posteriori power calculations, since once the study is done, you either saw the effect or didn't. For the latter, it's a matter of taste and philosophy.

Acknowledging the factors mentioned in the earlier comments, I would also add another factor here that is collaborative research. I say this because I was personally conducting research on dental implants at the Material Testing Laboratory, Departments of Material Science, IIT Bombay, a few years ago. The aim of the research among other things was to improve the mechanical strength of the dental implants to lend them longevity as well as making them cheaper by using newer materials. We were fortunate to be partnered by the local dental colleges in and around Mumbai; although, we had to struggle with a lot of dentists due to their inertia to participate in such research. They were not really enthused about the project primarily due to lack of mental bandwidth that a practising doctor can offer and also because research in India is unstructured. 

I would, therefore, say that more structured collaborative research is required which would not only enrich the field but ultimately benefit the patients too. 

Mr. Jansen

There are two PDF files one of them rom NASA as a PDF Boo; discussing such topics from NASA Reference Publication 1105 June 1983.Please find it in the attached file. Another Pdf also is attached , I hope it will help you quiet  a lot..

I think that you have to find a Hamilton path of graph from source node s to destination node t.

To ensure laboratory results can be applied successfully in an operational environment, stepwise pilot testing is important as conditions will change as the testing programme progresses. This process is expensive, time consuming and in many cases, requires specialised equipment and research resources.

Many products on the market rely on suppliers’ testing plan and results to assure compliance to legal requirements, e.g. FDA. However the industrial world is open the suppliers selling products that claim many benefits but when these products are applied they fail. Many years of experience has shown, that when testing new products in a full scale plant environment, a closely controlled testing programme is necessary in collaboration between the end user and the supplier. Although time consuming, this strict QA process will ensure new products have gone through effective monitoring before they are applied across an operational environment.

This process, applied across a number of organisations in the beverage industry, has saved money, reduced the risk of product liability claims, product loss and plant downtime or replacements, as well as building good supplier – client relationship.

A win-win for all!

The Open Access policy for publication will probably need to get some re-thinking soon, however, the idea is quite interesting.

The resources most of us use come most of time from public (governmental mostly) funding, and publishing the results in journals that are not available to the public sound un-fair to my ears. However, someone has to pay the costs of high-quality scientific publication; it may the authors or it may be some specific agencies as well, but it will come from funding agencies as well.

One may not forget that what makes a scientific paper interesting is the number of people that is impacted by it, reflected, for example, in the citations the paper gets. In this sense, publishing in a journal that is free-of-charge to be read may give an interesting boost in the impact of a paper. So, one important issue is how to give the essential visibility to the free-access journals, if they may have very limited resources?