The whole day spent in the laboratory, countless hours spent in front of the computer is just a daily routine for a research scholar. Many researchers struggling with factors such as critical thinking, keen concentration on observations, research paper writing, reading articles, working on deadlines and so on. These things make scholars more stressed and lead to a sleepless night (Insomnia).

In this article, we are going to find out, what is insomnia and how it will affect the sleep of a research scholar.

What is Insomnia?

  “Can’t you sleep at night?  Are you feeling difficult to sleep?”

This article is for you

 

• Insomnia is a sleep disorder that makes you stay sleepless during night time.
• Sleeping is an important part of every human, different people required different amounts of sleep.
• Your quality of sleep is not measured by the amount of time you lay on the bed. if you feel fatigued or drowsy during the daytime, you may be experiencing insomnia.
• Yes, Insomnia is a difficult condition to determine.

Symptoms of Insomnia

• Feeling fatigued or drowsiness in the morning.
• Difficult to sleep though you are feeling very tired. 
• Relying on sleeping tablets to get sleep.
  
• Waking up frequently during sleep.
• Difficult to getting back to sleep in the morning.
  
• Waking up too early in the morning.
• Too much depression or anxiety in your research work.

Two Types of insomnia

Primary condition 

• During this, people face sleeping related problem but it will not affect their health condition.

Secondary condition 

• During this, students face sleeping issues due to various health problems like depression, pain, and medication usage.

How to Avoid Insomnia?

In order to avoid sleeping deprivation effects, researchers need to follow these necessary steps.

• Avoid late-night research activities.
• Schedule your work according to your sleeping time.
• Avoid using a laptop or mobile phone 1 hour before going to bed.
• Avoid Tea, Coffee kind of beverages after your supper. 
• Try to practice meditation.
• If you are suffering from any chronic disease, take proper medicines as per the doctors prescription.

Hope this will help you to maintain your health as well as improve your concentration on research work.

love your health!

love your research!

The post Insomnia vs Research Scholars | Sleep Deprivation Effects appeared first on iLovePhD.

“Thesis” and “Dissertation” are the words often used in academia, which also lead to some confusion that what exactly each word means. This article tries to clarify the Difference Between a Dissertation vs Thesis.

Difference between Dissertation vs Thesis

Thesis – is a Greek word meaning “proposition”

Dissertation- is a Latin word meaning “discussion”

Thesis – is usually used for a PhD (doctoral) or M.Phil. level degree in the UK.

A Thesis is a document that presents the author’s research and findings and is submitted in support of candidature for a degree or professional qualification.

Thesis statements at the primary argument and tell supervisors what you want to ascertain. It goes to all depths of the topic throughout the thesis work and in the conclusion part, the topic and its finding are summarized.

Dissertation – Generally, described as a treatise without relation to obtaining an academic degree. But, the usage of the word differs in two countries US and UK, and that confusion reflects the rest of the world.

In the US,

A person needs to write a thesis if he doing a master’s level education.

A person needs to write a dissertation if he doing a doctoral degree.

In the UK,

A person would be awarded a master’s level degree if he has successfully submitted dissertation work.

A person needs to write a thesis if he doing a Ph.D. (Doctoral) degree.

Finally,

The main confusion occurs in the usage of the terms dissertation and the thesis is the structure. Both have an introduction, literary review, main body, conclusion, bibliography, and appendix.

Dissertation vs Thesis

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ChatGPT is an AI language model, it can generate text based on the input provided by user. However, It should be used as a tool to assist in the writing process rather than being relied on entirely to write a scientific research paper. Writing a scientific research paper requires not only knowledge of the subject matter but also critical thinking, analysis, and interpretation of data. Therefore, it is essential to use ChatGPT in conjunction with your own expertise and knowledge.

In this article, ilovephd provided tips to use ChatGPT for Scientific research paper writing.

ChatGpt to Write a Scientific Research Paper

Here are some steps you can take to use ChatGPT to write a scientific research paper:

1. Define your research question or hypothesis:
   • Begin by identifying the research question or hypothesis that you want to address in your paper.
2. Conduct literature review:
   • Use ChatGPT to search for relevant scientific literature related to your research question or hypothesis. ChatGPT can provide you with a summary of existing research on the topic, as well as any gaps in the literature.
3. Gather and analyze data:
   • Collect data through experiments, surveys, or other means. Then, use ChatGPT to help analyze and interpret your data, as well as generate visualizations to support your findings.
4. Organize your paper:
   • Use ChatGPT to help organize your paper by creating an outline, structuring your arguments, and ensuring that your paper is well-organized and flows logically.
5. Draft your paper:
   • Use ChatGPT to generate draft sections of your paper, such as the introduction, methods, results, and discussion sections. However, ensure that you review and edit the content generated by ChatGPT to ensure it aligns with your research and is written in your own voice.
6. Edit and proofread your paper:
   • Use ChatGPT to help edit and proofread your paper for grammar, punctuation, and spelling errors. However, ensure that you carefully review and make any necessary revisions to the content generated by ChatGPT to ensure accuracy and clarity.

Remember that while ChatGPT can be a helpful tool in the scientific research paper writing process, it is not a substitute for your own expertise, critical thinking, and analysis. Therefore, it is important to use ChatGPT in conjunction with your own knowledge and skills to ensure a high-quality scientific research paper.

10 Myths about ChatGPT in scientific research paper writing

Here are 10 myths about ChatGpt in scientific research paper writing:

1. Myth: ChatGpt can write a scientific research paper entirely on its own.
   • Fact: While ChatGpt can assist in generating content for a scientific research paper, it cannot write a paper entirely on its own. Human expertise, critical thinking, and analysis are still essential in the writing process.
2. Myth: ChatGpt can replace human researchers in scientific research.
   • Fact: ChatGpt is a tool that can assist in the research and writing process, but it cannot replace human researchers. The expertise and skills of human researchers are still necessary in scientific research.
3. Myth: ChatGpt can analyze and interpret data without human input.
   • Fact: ChatGpt can assist in analyzing and interpreting data, but human input is still essential in ensuring accuracy and drawing meaningful conclusions.
4. Myth: ChatGpt can generate content that is 100% plagiarism-free.
   • Fact: While ChatGpt can generate original content, it is still possible for the content to be similar or identical to existing material. It is important to review and edit any content generated by ChatGpt to ensure it is original and appropriately cited.
5. Myth: ChatGpt can write in any scientific field.
   • Fact: ChatGpt’s ability to write effectively may vary depending on the scientific field. It is essential to provide ChatGpt with specific information and context to ensure accurate and effective writing.
6. Myth: ChatGpt can generate content that is free of errors and mistakes.
   • Fact: ChatGpt’s content may still contain errors or mistakes, and it is important to review and edit any content generated by ChatGpt for accuracy and clarity.
7. Myth: ChatGpt can generate content that is better than human-written content.
   • Fact: ChatGpt’s content is based on machine learning and natural language processing, and while it can produce high-quality content, it is not necessarily better than human-written content.
8. Myth: ChatGpt can write content that is more persuasive than human-written content. Fact: Persuasion requires human communication skills and emotional intelligence, and ChatGpt’s content may not be as persuasive as human-written content.
9. Myth: ChatGpt can write content that is completely objective.
   • Fact: ChatGpt’s content is based on data and input provided by humans, and therefore may contain subjective bias. It is important to review and edit any content generated by ChatGpt to ensure it is objective.
10. Myth: ChatGpt can make up for a lack of research and knowledge.
    • Fact: ChatGpt’s content is only as good as the research and knowledge that is provided to it. Therefore, it is still essential for researchers to have expertise and knowledge in their field and to provide accurate information to ChatGpt to generate effective content.

I hope, this article would help you to know how to use ChatGPT 4 to your scientific research paper writing.

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1. AI language model for scientific research paper writing
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Sample selection is a critical aspect of research and data analysis. The quality and relevance of your sample can greatly influence the validity and generalizability of your findings. Selecting an appropriate sample is a multi-faceted task that depends on the research goals, available resources, and the characteristics of the population under study. In this article, iLovePh will explore and explain the various sample selection strategies commonly used in research.

Sample Selection Strategies in Research: A Comprehensive Guide

Random Sampling

• Random sampling is considered one of the most robust methods for sample selection. In this approach, each member of the population has an equal chance of being included in the sample.
• Random sampling reduces bias and ensures that the sample is representative of the entire population.
• Researchers can use random number generators or other randomization techniques to implement this strategy.

Stratified Sampling

• Stratified sampling divides the population into subgroups or strata based on specific characteristics, such as age, gender, or income level.
• Researchers then select samples from each stratum in proportion to its representation in the population.
• This strategy ensures that important subgroups are adequately represented in the sample, making it useful when certain characteristics are of particular interest.

Systematic Sampling

• Systematic sampling involves selecting every nth member from a list of the population.
• This method is less time-consuming and more straightforward than random sampling.
• However, it is essential to ensure that the list is ordered randomly or does not exhibit any periodic patterns to prevent introducing bias.

Convenience Sampling

• Convenience sampling is a non-probability sampling method where researchers select participants based on ease of access or availability.
• While it is quick and cost-effective, it may introduce bias as the sample may not be representative of the population.
• This strategy is often used in pilot studies or when other methods are impractical.

Purposive Sampling

• Purposive sampling, also known as judgmental or selective sampling, involves deliberately selecting participants who meet specific criteria.
• Researchers use their judgment to choose individuals or cases that are most relevant to their research objectives.
• While this approach can be useful in qualitative research or when studying unique populations, it may introduce subjectivity and limit generalizability.

Snowball Sampling

• Snowball sampling is commonly used when studying hidden or hard-to-reach populations.
• Researchers start with a small group of participants and ask them to refer others who fit the study criteria.
• This sampling method is particularly useful for research involving sensitive topics or marginalized communities.
• However, it may introduce bias if the initial participants are not representative.

Quota Sampling

• Quota sampling involves selecting participants based on predetermined quotas for specific characteristics, such as age, gender, or ethnicity.
• Researchers continue selecting individuals until the quota for each category is met.
• While this method allows for control over sample composition, it may still introduce bias if quotas are not well-defined or based on relevant criteria.

Cluster Sampling

• Cluster sampling divides the population into clusters, such as geographical regions, and then randomly selects clusters for inclusion in the sample.
• Researchers can choose to sample all individuals within selected clusters or further subdivide them using other sampling methods.
• Cluster sampling is cost-effective and practical for large populations.

Seven principles of sample selection strategies

Kemper et al. (2003) outlined seven essential principles for selecting the appropriate sample.

1. Logically appropriate

The chosen sampling strategy should logically flow from the research’s conceptual framework and its associated questions.

It must effectively address the research questions and align with the conceptual framework.

The sampling technique employed should match the research’s objectives and goals.

If necessary, combining two sampling strategies may be considered to achieve an appropriate sample.

2. Thorough Database

The sample should yield a comprehensive database pertaining to the phenomenon under investigation.

The sample size should be sufficient to accurately represent the sampling frame or the population from which it is drawn.

An excessively small sample may fail to represent the population, while an overly large one can become unwieldy, emphasizing the importance of selecting an appropriate sample size.

3. Clear Inferences

The sample should enable the derivation of clear, credible explanations and inferences from the data.

The sample size should be proportionate to the population size to ensure the validity of inferences.

The chosen sampling technique should produce unbiased and precise inferences, which is achievable through proper technique selection and execution.

It is important to strike a balance, as excessively increasing the sample size may hinder data collection and inference-making.

4. Ethical Considerations

Ethical standards must be upheld in the sampling strategy.

Personal information must be safeguarded to address data protection and confidentiality concerns.

In non-probability research, sample selection should be driven by theoretical considerations rather than personal biases.

5. Feasibility

The sampling plan must be feasible given the available resources.

Researchers should ensure that the chosen sampling technique is practical and viable within their means.

6. Generalizability

The sampling plan should facilitate the transfer and generalization of study conclusions to other settings or populations.

Proper selection of the sample can significantly enhance the research’s generalizability.

7. Practicality

The sampling scheme should be as efficient and practical as possible.

Practical considerations should be taken into account to avoid becoming overwhelmed during the research process.

Conclusion

Selecting the right sample is important for research. Each of these sample selection strategies has its advantages and limitations, and the choice of method should align with the research goals, available resources, and the characteristics of the population being studied. Researchers must carefully consider the potential biases introduced by their chosen sampling strategy and take steps to mitigate them to ensure the validity and generalizability of their findings. Ultimately, a well-chosen sample is the foundation upon which reliable and meaningful research is built.

References

1. Kemper EA, Stringfield S, Teddlie C. Mixed methods sampling strategies in social science research. In: Tashakkori A, Teddlie C, editors. Handbook of mixed methods in the social and behavioral sciences. Sage; Thousand Oaks, CA: 2003. pp. 273–296.

The post Sample Selection Strategies in Research appeared first on iLovePhD.

Google Bard and ChatGPT are two of the most popular large language models (LLMs) on the market. Both models are trained on massive datasets of text and code and can be used for a variety of tasks, including generating text, translating languages, and writing different kinds of creative content.

However, there are some key differences between the two models. In this article, ilovephd will explore the most important differences between Google Bard and ChatGPT.

ChatGPT and Google Bard,
Two language models from afar,
One trained on a massive dataset,
The other on a smaller one,
But both with the same goal,
To understand and generate human language,
To create new and innovative things,
To make the world a better place.

Google Bard vs ChatGPT: Which One Should You Use?

1. Data size

One of the biggest differences between Google Bard and ChatGPT is the size of the datasets they are trained on. Google Bard is trained on a dataset of 1.56 trillion words, while ChatGPT is trained on a dataset of 175 billion words.

This means that Google Bard has access to a much larger pool of information, which can give it an advantage in tasks that require a deep understanding of languages, such as translation and summarization.

2. Model architecture

Another key difference between Google Bard and ChatGPT is their model architecture. Google Bard is a transformer-based model, while ChatGPT is a recurrent neural network (RNN)-based model. Transformers are a type of neural network that has been shown to be very effective for natural language processing tasks. They are able to learn long-range dependencies between words, which can be important for tasks such as translation and summarization.

3. Access to the internet

One of the most important differences between Google Bard and ChatGPT is their access to the internet. Google Bard has access to the internet in real-time, while ChatGPT does not. This means that Google Bard can access the latest information from the web, which can give it an advantage in tasks that require up-to-date information, such as news aggregation and question answering.

4. Cost

Google Bard is currently free to use, while ChatGPT is not. ChatGPT is a commercial product, and users need to pay a subscription fee to use it. This means that Google Bard is more accessible to a wider range of users.

5. User interface

Google Bard has a more user-friendly interface than ChatGPT. The Google Bard interface is designed to be easy to use and understand, even for users who are not familiar with LLMs. The ChatGPT interface is more complex and requires some technical knowledge to use.

6. Documentation

Google Bard has more comprehensive documentation than ChatGPT. The Google Bard documentation provides detailed instructions on how to use the model, as well as examples of how to use it for different tasks. The ChatGPT documentation is less comprehensive and does not provide as many examples.

7. Community support

Google Bard has a larger and more active community of users than ChatGPT. The Google Bard community is a great resource for users who need help using the model or who want to learn more about it. The ChatGPT community is smaller and less active.

8. Security

Google Bard has been designed with security in mind. The model is trained on a private dataset and is not accessible to the public. ChatGPT is not as secure as Google Bard. The model is trained on a public dataset and is accessible to anyone who wants to use it.

9. Bias

Google Bard has been designed to be as unbiased as possible. The model is trained on a dataset that is representative of the real world. ChatGPT is not as unbiased as Google Bard. The model is trained on a dataset that is biased towards certain viewpoints.

10. Future development

Google Bard is a newer model than ChatGPT, and it is still under development. Google is constantly working to improve the model and add new features. ChatGPT is also under development, but Google is not as active in developing the model as Google is with Google Bard.

10 differences between ChatGPT and Google Bard

1. Architecture: ChatGPT is based on the GPT (Generative Pre-trained Transformer) architecture developed by OpenAI, while Google BARD (Bidirectional Encoder Representations from Transformers Auto-Regressive Decoder) is based on the Transformer architecture developed by Google.
2. Training Data: ChatGPT has been trained on a large corpus of text data, including books, articles, and websites, while Google BARD has been trained on a subset of the Common Crawl dataset, which is a collection of web pages.
3. Language Support: ChatGPT supports multiple languages, including English, French, German, Spanish, Chinese, and Japanese, while Google BARD currently supports only English.
4. Task Specificity: ChatGPT is a general-purpose language model, capable of generating text for a wide range of tasks, while Google BARD is designed specifically for natural language generation tasks.
5. Model Size: ChatGPT is available in several different sizes, ranging from a few hundred million parameters to over a trillion parameters, while Google BARD is available in a single size, with approximately 1.6 billion parameters.
6. Training Methodology: ChatGPT was trained using an unsupervised learning approach, while Google BARD was trained using a combination of supervised and unsupervised learning approaches.
7. Ownership: ChatGPT is owned and developed by OpenAI, while Google BARD is owned and developed by Google.
8. Availability: ChatGPT is available for public use through OpenAI’s API, while Google BARD is currently only available for research purposes.
9. Applications: ChatGPT has been used in a variety of applications, including chatbots, text summarization, and machine translation, while Google BARD has been primarily used for natural language generation tasks such as text completion and question answering.
10. Performance: ChatGPT has achieved state-of-the-art performance on several natural language processing benchmarks, while Google BARD has also achieved strong performance but has not yet surpassed the performance of some of the largest GPT models.

Conclusion

Google Bard and ChatGPT are two of the most powerful LLMs on the market. Both models have their own strengths and weaknesses. Ultimately, the best model for you will depend on your specific needs and requirements.

If you are looking for a model that is accurate, up-to-date, and easy to use, then Google Bard is a good choice. If you are looking for a model that is versatile and can be used for a variety of tasks, then ChatGPT is a good choice.

If you are still unsure which model is right for you, then I recommend trying both models and seeing which one you prefer.

Also Read: How to Use ChatGpt to Write a Scientific Research Paper?

The post Google Bard vs ChatGPT: Which One Should You Use? appeared first on iLovePhD.

A Food Science Journal is a type of peer-reviewed journal that experts in the food field use to share their latest research findings with other experts in the same field. The topics covered by Food Science Journals can include things like food safety, food processing, food chemistry, food engineering, and nutrition.

In this article, we have listed the top 10 Scopus-indexed food science journals based on the Scopus-cite score, which is a way of measuring how often a journal’s articles are cited by other researchers.

10 High Impact Factor Food Science Journals

1. Nature Sustainability

• Scopus coverage years: from 2018 to Present
• Publisher: Springer Nature
• E-ISSN:2398-9629
• Subject area: Social Sciences: Geography, Planning and DevelopmentEnvironmental Science: Management, Monitoring, Policy and LawAgricultural and Biological Sciences: Food ScienceSocial Sciences: Urban StudiesEnvironmental Science: EcologyView all
• Source type: Journal

2. Critical Reviews in Food Science and Nutrition

Formerly known as CRC Critical Reviews in Food Science and Nutrition

• Scopus coverage years:1981, from 1983 to 1984, from 1988 to Present
• Publisher: Taylor & Francis
• ISSN:1040-8398E-ISSN:1549-7852
• Subject area: Agricultural and Biological Sciences: Food ScienceEngineering: Industrial and Manufacturing Engineering
• Source type: Journal

3. Trends in Food Science and Technology

• Scopus coverage years: from 1990 to Present
• Publisher: Elsevier
• ISSN:0924-2244
• Subject area: Agricultural and Biological Sciences: Food ScienceBiochemistry, Genetics and Molecular Biology: Biotechnology
• Source type: Journal

4. Comprehensive Reviews in Food Science and Food Safety

• Scopus coverage years: from 2002 to 2003, from 2005 to Present
• Publisher: Wiley-Blackwell
• ISSN:1541-4337
• Subject area: Agricultural and Biological Sciences: Food Science
• Source type: Journal

5. Food Hydrocolloids

• Scopus coverage years:1986, from 1995 to 2023
• Publisher: Elsevier
• ISSN:0268-005X
• Subject area: Agricultural and Biological Sciences: Food ScienceChemical Engineering: General Chemical EngineeringChemistry: General Chemistry
• Source type: Journal

6. NJAS – Wageningen Journal of Life Sciences

• Scopus coverage years:1988, from 1997 to 2003, from 2005 to 2020
• Publisher: Taylor & Francis
• ISSN:1573-5214
• Subject area: Agricultural and Biological Sciences: Animal Science and ZoologyAgricultural and Biological Sciences: Agronomy and Crop ScienceSocial Sciences: DevelopmentAgricultural and Biological Sciences: Food ScienceAgricultural and Biological Sciences: Plant Science
• Source type: Journal

7. Advances in Nutrition

• Scopus coverage years: from 2010 to Present
• Publisher: American Society for Nutrition
• ISSN:2161-8313E-ISSN:2156-5376
• Subject area: Agricultural and Biological Sciences: Food ScienceNursing: Nutrition and DieteticsMedicine: Medicine (miscellaneous)
• Source type: Journal

8. Food Chemistry

Incorporating: Journal of Micronutrient Analysis

• Scopus coverage years: from 1976 to 2023
• Publisher: Elsevier
• ISSN:0308-8146E-ISSN:1873-7072
• Subject area: Agricultural and Biological Sciences: Food ScienceChemistry: Analytical Chemistry
• Source type: Journal

9. Food Reviews International

• Scopus coverage years: from 1985 to Present
• Publisher: Taylor & Francis
• ISSN:8755-9129E-ISSN:1525-6103
• Subject area: Agricultural and Biological Sciences: Food ScienceChemical Engineering: General Chemical Engineering
• Source type: Journal

10. Journal of Food and Drug Analysis

Open Access

• Scopus coverage years: from 1994 to Present
• Publisher: Elsevier
• ISSN:1021-9498E-ISSN:2224-6614
• Subject area: Agricultural and Biological Sciences: Food SciencePharmacology, Toxicology and Pharmaceutics: Pharmacology
• Source type: Journal

I hope, this article would help you to know the top ten Scopus-indexed highly cited journals in the field of food science.

The post Best 10 Scopus Indexed Food Science Journals appeared first on iLovePhD.

Deciding on your academic path can be a bit confusing. You’ve probably heard about getting a PhD and doing a PostDoc, but what do these terms really mean? Well, we’re here to help you make sense of it all in plain and easy-to-understand language.

In this article, iLovePhD breaks down the differences between a PhD and a Postdoc. Think of it as two significant steps in your academic journey. We’ve put together a table with 20 points to tell you everything you need to know. Whether you’re just starting out or you’ve been in the academic world for a while, this guide will help you understand the choices ahead.

Let’s start this journey together and explore the world of PhD and Postdoc, making it all clear and simple for you.

20 Differences Between a PhD and a Postdoc

The post PhD Vs. PostDoc appeared first on iLovePhD.

Language can’t exist without proper grammar. People are using newer terms to communicate with one another and to connect to the rest of the world, influencing the correct use of grammar to the point where scholars are having difficulty in writing effective academic content. Researchers need to be able to produce academic writing that is free of grammatical errors since academic writing is the foundation upon which the dissemination of information is built. Whatever your main study’s conclusions are, your research paper is useless if it is not written correctly with proper grammar. If you wish to get good comments from your supervisor, explain your study’s results accurately. Several AI-based online grammar checker tools are available to make this procedure simpler, more effective, and free of errors.

Even if hundreds of these tools are accessible online, researchers must use the best grammar checker tools when checking their research papers. This article will discuss how you can check grammar in your research paper using an online tool.

What is a Grammar Checker?

A grammar checker is software designed to ensure that a given text follows the rules of Standard English grammar. In other words, grammar checkers are components of more extensive programs like word processors.

Grammar Checker is a tool to detect and correct grammatical mistakes and errors in written work. Grammar Checker will examine the document for incorrect punctuation, capitalization, improper usage of words, and other minor errors.

What is the importance of using a grammar checker tool?

Most academic writing is characterized by accuracy and a clear structure. Therefore, you will find it easier to meet the final publication standards if you use a tool that checks your grammar and spelling online in preparation for submitting your work to an academic journal.

Due to this, inspection tools are increasingly needed to help enforce standards such as using appropriate language and proper grammar for each area of study, as well as word count restrictions and academic journal style guidelines.

In addition, the tools used to check grammar online should be able to provide correct assistance with academic writing in English, as well as technical terminology, scientific language, and preparation for publishing. Every writer has challenges while trying to provide original content and maintain perfect grammar. Checking the text for grammatical problems by proofreading it line by line may be time-consuming. Therefore, using an online grammar checker tool helps to fix any writing mistakes in your research paper quickly and easily.

Advantages of using grammar checker

It is essential to make use of the grammar checker tool since it offers several advantages, including the following:

• Improve readability score

The authors’ primary objective is to communicate their thoughts to the readers in a way understandable to them within the context of the content being presented to them. Nevertheless, if the content’s grammar is not up to standard, the readers will lose interest in continuing to read the piece and go on to something else.

• Improve writing skills 

A grammar checker is a helpful tool that lets you significantly improve your writing skills by quickly correcting all of your writing faults.

• Saves Time

It takes significant time to edit and proofread a larger piece of text for grammatical and punctuation errors. The checker helps users save time by enabling them to check and correct their mistakes.

How to check grammar in a research paper?

Every professional writer can write well. If you are working on a research paper and want to express your thoughts in clear and proper language, it significantly affects the person reading what you have written.

When everything is on the line, having access to a grammar checker may be a game-changer. However, considering many tools for checking grammar, it is essential to choose one that can reliably identify errors in your work without fail. There are a lot of grammar checkers available, but the grammar checker by editpad.org is one of the best ones that we will discuss.

Grammar checker by Editpad.org

Editpad gives users access to a free grammar checker that can identify and fix vocabulary, punctuation, and capitalization errors in a matter of seconds. When you submit your research paper, this grammar checker scans the text and detects improper grammar within the document, allowing you to correct your mistakes in your research paper.

How to use Edipad.org grammar checker?

Follow the steps listed below to begin using this grammar checker. :

• The text you want to enter can be typed in, or users can save time by being able to paste the necessary content directly into the input area.
• After that Click on “Check Grammar” Button.

This automated tool scans the document for errors and provides a possible solution to fix them. And within seconds, you can remove all your writing errors.

Silent feature

• Charge-free

You can use this grammar checker without any cost at any time, and it is suitable for usage on any smart device. Additionally, it offers a tool that allows users to alter the content that has been checked, along with various marvelous features.

• Highlight Mistakes

After reviewing the whole paper and verifying it, it will highlight spelling mistakes in red, along with any errors in punctuation and grammar, which will be highlighted in yellow.

• Fix Spelling Errors

It will be helpful to correct all of the spelling errors that have been noticed in the sentence. This function offers the most beneficial recommendation for correcting the spelling mistakes that were found.

• Remove Incorrect Usage of Punctuation

All incorrect punctuations will be detected and removed from the research paper with the help of this amazing grammar checker.

• Resolve all Errors

The checker will display the total number of errors and will provide the user the opportunity to correct all of the grammatical and spelling faults present in the submitted file.

It is possible to change a good research paper into a poor one by accidentally plagiarizing, making grammar mistakes, or failing to acknowledge sources. When you are writing a paper, you can lose its credibility because of improper punctuation or confusing sentence structure. Grammar checker by ediptad.org is one of the best options to remove all grammatical mistakes. It will scam your research paper and detect and correct all writing errors. 

The post How to Check Grammar in your Research Papers? | Online Grammar Checker appeared first on iLovePhD.

The Prime Minister’s Fellowship Scheme is a game-changing initiative for aspiring research scholars in India. It’s a joint venture between the government and industry to promote research, innovation, and leadership.

Prime Minister’s Fellowship for Doctoral Research

• Under the scheme, scholars can receive scholarships of up to Rs 8.7 lakh per annum. This translates to a monthly stipend ranging from Rs 55,000 to Rs 72,800 based on HRA. The financial support makes it an attractive option for doctoral research.

Four Years of Support

• Each scholarship is granted for a maximum of four years, offering long-term support for research. The funding is shared equally between the government and the partner company, ensuring sustainability.

Wide Scope of Research

• The Prime Minister’s Fellowship covers a wide array of fields, including Science, Technology, Engineering, Agriculture, and Medicine. This diverse scope caters to a broad range of research interests.

Key Features of Prime Minister’s Fellowship

• The fellowship offers more than just financial aid; it provides a unique and enriching experience.

• It focuses on offering scholars exposure to the best national and international practices and innovations. Regular mentorship sessions with industry and academic experts, as well as external agencies, enhance the learning experience.

Eligibility and Selection Criteria

• Eligible applicants are full-time PhD scholars in recognized Indian institutions with a registration date of up to 14 months.

• Scholars should be open to collaborating with the supporting company during the project.

How to Apply

• Scholars applying for the fellowship should:
  1. Register on the dedicated portal, either www.serbficci-iirrada.in or www.primeministerfellowshipscheme.in.
  2. Complete the application form according to the provided guidelines.
  3. Submit the application online.
• Establish a partnership with a company, ensuring that: 4. Both the company and the host institute sign the required undertakings.
• Prepare all necessary documents, making sure to: 5. Collect them.
  6. Create digital copies for submission.
• Fill out the online application form. 7. Note that there’s no need to send any physical copies to CII.

Prime Minister’s Fellowship – The Impact So Far

• Since its inception in 2013, the scheme has already awarded 104 fellowships, making a significant impact on research in India.

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