AI tools for day to day activities for researchers

         

    In today’s busy academic world, researchers often struggle to keep up with a mountain of information while trying to stay updated in their fields. Tools like Elicit, Scholarcy, OpenAlex, Typeset.io, and Paperity.org are changing the game by making everyday tasks easier for students and academics. These AI tools help with things like finding relevant papers, summarizing complex studies, managing citations, and providing free access to a wide range of scholarly articles. By using these tools, researchers can save time, boost their productivity, and focus on what really matters—analyzing data and generating new ideas. Whether it’s organizing research materials or ensuring papers are formatted correctly, these AI tools are becoming valuable partners in the journey toward academic success.

AI tools for day to day activities for researchers:

• Elicit:  The AI Research Assistant: “Analyze research papers at superhuman speed”. Elicit is a research tool that makes finding and understanding academic publications much easier by using AI. You can type in a specific research query, and Elicit will rapidly discover relevant publications, summarize their essential points, and even extract important data like results or methodologies, saving you hours of time instead of reading through and searching through studies. By handling the laborious tasks, it frees up researchers' time so they may concentrate on analysis and insight-gathering. Anyone who requires assistance with source organization, citation management, or remaining current with new research in any discipline should use Elicit.

• Scholarcy - Knowledge made simple- This AI-powered application summarizes academic publications and extracts important data, including abstracts, highlights, and references, to assist scholars. Long research articles, reports, or book chapters can be quickly summarized by Scholarcy into smaller sections, improving users' knowledge of the essential ideas without having to read the complete work. Anyone performing literature reviews or attempting to quickly obtain an overview of a large number of papers will find it especially helpful. Because Scholarcy organizes and extracts references from papers, it can also assist with citation management.

• OpenAlex: OpenAlex A free, open index of scholarly works, authors, venues, institutions, and concepts, with AI-enhanced search capabilities. OpenAlex is a free program that uses artificial intelligence to provide access to a vast library of scholarly articles, authors, and research data. It functions similarly to a publicly accessible version of well-known research databases like Scopus. You may locate research articles with OpenAlex, as well as observe their connections, keep tabs on who is citing whom, and find new subjects or subject matter experts. OpenAlex is a tool that researchers and developers can use to examine patterns in the literature, investigate relationships between studies, and even identify the most influential publications or authors.

• Typeset.io is an online tool that makes writing and formatting academic papers, theses, and dissertations much easier. It automatically formats your document to meet the requirements of different journals, so you don’t have to worry about getting the layout right. The platform also allows multiple people to collaborate on a document at the same time, making it perfect for team projects. Typeset.io includes citation management features, so you can easily add citations and create reference lists in various styles. Plus, it offers a variety of templates tailored to different fields of study, helping you get started quickly. Overall, Typeset.io is designed to simplify the writing and publishing process for researchers and students, making it more efficient and user-friendly.

• paperity.org : Paperity.org is an online platform designed to make academic research more accessible by providing free access to a wide range of scholarly articles and papers. It aggregates content from various disciplines, including science, social sciences, arts, and humanities, allowing users to discover and read thousands of research papers without paywalls. Paperity also offers features like personalized feeds and alerts based on user interests, making it easier to stay updated on the latest research in specific fields. Additionally, the platform enables users to save and organize papers for later reference, helping researchers manage their reading materials effectively. By promoting open access to academic literature, Paperity aims to support researchers, students, and anyone interested in learning more about various subjects.

 

With the help of these innovative tools, researchers can navigate the complexities of academic work more efficiently. Embracing AI in research not only makes the process smoother but also empowers scholars to make meaningful contributions to their fields.

CONTENTS OF A RESEARCH REPORT

CONTENTS OF A RESEARCH REPORT

A research report ordinarily includes the following sections:

ABSTRACT: The abstract is often required to be no more than a given maximum number of words, usually between 100 and 150. It should describe the most important aspects of the study, including the problem investigated, the type of subjects (sample) and data collection method involved, the analytical procedures used, and the major results and conclusions.

INTRODUCTION: This section includes discussions concerning the practical and/or theoretical importance of the topic as well as a description of the research problem. It often starts by introducing the reader to the topic and making a case for the practical significance of the issues being investigated and/or the contribution that the study could make to our understanding of the phenomenon. The statement of research problem(s) is intended to indicate what the general purpose of the study is. This is often done through broadly stated questions or statements regarding whether and how the research variables are (or are expected to be) related to (or affected by) one another. Finally, the introduction section should include the working definitions of those terms used in the study that do not have a commonly known meaning or for which several meanings may be used.

REVIEW OF THE LITERATURE AND THE RESEARCH MODEL: Some authors present the material included here as a separate section under its own heading (as it is shown here), while others present it as part of a longer INTRODUCTION section. In either case, the review of the related literature describes and analyzes the published studies that are directly related to, and/or have some relevance to, the topic and research questions at hand. Related literature should be integrated with, and weaved into, the material in this section and not be simply cataloged. The review could conclude with a brief summary of the literature and its implications.

The study's theoretical/conceptual model and its hypotheses are developed based on the researcher's logical reasoning as well as the implications of his/her literature review. Note that the study's hypotheses should be stated in a language consistent with its proposed conceptual framework and the literature review; they should not be stated in the null and alternate hypotheses forms. Also, a well-developed hypothesis is testable; that is, it can be confirmed or disconfirmed through the collection and analysis of data.

METHODOLOGY: The methodology section includes a description of the research sample (subjects), data collection method,measurement instruments, and data analysis procedures. The description of sample/subjects includes not only the sample size and statistics regarding the subjects but also a definition and description of the population from which the sample was selected. This section also describes the method used in selecting the sample or samples. In the case of questionnaire surveys, information on response rates also should be provided.

The description of instruments should identify and briefly describe all instruments used to collect data pertinent to the study, be they tests, questionnaires, interview or observation forms, or unobtrusive data such as absenteeism reports or productivity figures. When possible, information on validity and reliability of the measures used should be reported. Also, sources should be cited for measurement instruments/procedures (e.g., scales) developed by other researchers. The method section is usually concluded with a few statements about the analysis procedures utilized to test the study's hypotheses.

RESULTS & DISCUSSION: Some authors use a single section to both present and discuss the data analysis results. Others deal with the two issues in two separate sections. In either case, the statistical techniques that were applied to the data must be mentioned and the results of each analysis summarized, tabulated, and then discussed. For each research hypothesis, the statistical test of significance selected and applied to the data is briefly described, followed by a statement indicating whether the hypothesis was supported or not supported. Tables and figures are used to present analyses results in summary and/or graph form and to add clarity to the presentation. Good tables and figures are uncluttered, self-explanatory, and non-redundant.

        In addition to simply presenting the results in a straightforward manner, the author also has to provide the readers with his/her interpretation of the results, implications of the findings, conclusions and recommendations. Each result is discussed in terms of the original hypothesis to which it relates and in terms of its agreement or disagreement with results obtained by other researchers in similar/related studies. If the results are consistent with the theoretical model, researcher's expectations, and/or findings of other researchers, explanations must be provided as to what the results mean and what their theoretical and practical implications are. When the results do not support the hypotheses and/or contradict previous findings, not only their meaning, but also possible reasons for the discrepancies must be discussed.

        Often during a study apparent and/or interesting relationships will be noticed that were not hypothesized by the researcher. These unforeseen results should be acknowledged and discussed. Such results often form the basis for future studies specifically designed to examine the issue more carefully.

        Finally, the researcher should address the study's limitations and make recommendations for future research. It is notable that in the discussion portion of this section the researcher is often permitted more freedom to express opinions and reasonable speculations/assertions that may be rather indirectly and implicitly based on data analysis results.

SUMMARY AND CONCLUSIONS: This section is very similar to the abstract section except that it appears at the end of the report (preceding the REFERENCE section). It summarizes the study's findings in an easy to understand manner. It also explains the practical implications of those findings, and points to recommended directions for future research in that area.

REFERENCES: The references section, or bibliography, lists all the sources, alphabetically by authors' last names, that were directly used in writing the report. Every source cited in the paper must be included in the references, and every entry listed in the references must appear in the paper. Style manuals, such as the APA (American Psychological Association) manual, will give you the correct procedure for all in-text and reference citations. This form is usually different for books, journal articles, and magazine articles. It is recommended that you use the APA style. It is important that whatever form is used be followed consistently.

APPENDIXES: Appendixes include information and data pertinent to the study that either are not important enough to be included in the main body of the report or are too lengthy. Appendixes contain such entries as materials especially developed for the study (e.g., tests, questionnaires, and cover letters), coding scheme, print out of raw data, and the computer print-out of statistica analyses.

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Koha installation process in ubuntu 20.04

 

SL: this commands have been tested with latest Ubuntu LTS ( 20.04)

Open Applications > System Tools > Terminal and execute the below commands one by one

1. Update Ubuntu using apt

sudo apt update

2. Clear the apt-get packager manager cache

sudo apt clean

3. Install MariaDB-server dependence

sudo apt install mariadb-server mariadb-client -y

4. Provide MySQL/MariaDB root password

(If the password asks during the installation process, enter the password in the window. Apply following command, if the password window did not appear during the installation secure it)

Securing MariaDB

Run this command to improve the security of the MariaDB installation:

sudo mysql_secure_installation

(The script will prompt you to set up the root user password, remove the anonymous user, restrict root user access to the local machine and remove the test database. In the end, the script will reload the privilege tables ensuring that all changes take effect immediately. All steps are explained in detail and it is recommended to answer “Y” (yes) to all questions.)

5. Add Koha community repository ( For stable - latest version )

sudo echo deb http://debian.koha-community.org/koha stable main | sudo tee /etc/apt/sources.list.d/koha.list


6. Add trusted repository key

sudo wget -O- http://debian.koha-community.org/koha/gpg.asc | sudo apt-key add -

7. Update software repository

sudo apt update

8. Install Koha and dependencies

sudo apt install koha-common -y

( takes 5 mins on a reasonably fast internet connection )

9. Edit initial config file

sudo nano /etc/koha/koha-sites.conf

Edit INTRAPORT as 8080, OPACPORT as 80, domain, and Memcached [for database, makes Koha faster] settings depending on install

10. Ensure rewrite and cgi are enabled

sudo a2enmod rewrite cgi && sudo systemctl restart apache2

11. Setup the database for Koha

sudo koha-create --create-db library

12. Add new 8080 port (for IP based install) to Apache

sudo nano /etc/apache2/ports.conf

( need to add Listen 8080 below Listen 80 )

13. Enable vhost on Apache

sudo a2dissite 000-default && sudo a2enmod deflate && sudo a2ensite library && sudo systemctl restart apache2

14. In Ubuntu 20.04 LTS Locale::Language perl module is missing shows, in order to fix it, execute the below command

sudo apt install liblocale-codes-perl

Test to ensure everything is working

In the web browser, visit http://localhost or http://127.0.0.1 {Koha maintenance message}
In the web browser, visit localhost:8080 or 127.0.0.1:8080 It will prompt for username & password

username --> koha_library
password --> get it by executing this command –>
15.
sudo xmlstarlet sel -t -v 'yazgfs/config/pass' /etc/koha/sites/library/koha-conf.xml

Follow onscreen instructions/wizard create a library and a super librarian.