About Journal

The Scholars Journal of Science and Technology (Scholar J. Sci. & Tech. or SJST), is a peer-reviewed journal covering all areas of science, technology, management, engineering, health, religion, education, Journalism, and mass communication launched in 2020. It published 6 Issues (Bi-monthly) by the Scholar Indexing Society.

First Review: The editor or editorial assistant decides whether the article fits within the journal’s aims and scope. Next, a check for the similarity rate is completed using Turnitin, CrossCheck, powered by iThenticate. Any manuscripts out of the journal’s scope or have plagiarism, including self-plagiarism, are rejected without being peer-reviewed.

Publication: Articles are peer-reviewed and a first decision is provided to authors approximately 20 to 30 working days after submission; acceptance to publication is undertaken in 10 to 15 days.

DOIs at the Article Level: Each paper published in SJST is assigned a DOI number, Click HERE to know what DOI (Digital Object Identifier) is.

Abstract Video: Abstract videos are available on YouTube channel.

High Visibility: Scholars Journal of Science and Technology is indexed by Google Scholar and other databases.

Published: January 15, 2023

Effects of Religious Involvement on the Health Outcomes of Adults in the Sunyani Municipality

10.53075/Ijmsirq/742562525

1-16 Gordon Adomah

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Read Statistic: 49

Financial Management Practices among Small and Medium Scale Enterprises in the Sunyani Municipality
Financial Management Practices among Small and Medium Scale Enterprises

10.53075/Ijmsirq/562343213347

828-840 Osei-Boakye Dominic, Atianashie Miracle A, Chukwuma Chinaza Adaobi

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Read Statistic: 91

Factors Influencing the Attitude of Undergraduate English Language Students towards the Study of Literature

10.53075/Ijmsirq/679546434

Prof. Beverly Kracher

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Read Statistic: 12

Factors Influencing the Attitude of Undergraduate English Language Students towards the Study of Literature

10.53075/Ijmsirq/78543536

17-33 Daniel Tinyogtaa Adama

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Read Statistic: 67

A Hybrid Multi-Class Classification of Alzheimer Disease Based on Operative Deep Learning Techniques: Xception-Fractalnet
A Hybrid Multi-Class Classification of Alzheimer Disease Based on Operative Deep Learning Techniques

10.53075/Ijmsirq/56646656

796-812 Chukwuma Chinaza Adaobi, Atianashie Miracle A, Mathias Justice Akanzabwon Asaarik, Nyamike A Miezah, James Kwabena Odum

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Read Statistic: 128

Uncovering an Epidemic Co-occurrence in Opioid Use Disorder

10.53075/Ijmsirq/65676587

34-45 Noelle Harris

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Read Statistic: 123

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SJST provides an international forum for the dissemination and exchange of empirical research findings, topical issues, theories, and reviews on a variety of scientific issues.

If the writers have utilized someone else's words or work, they must ensure that it has been properly attributed or quoted. They must also ensure that what they have written is entirely original.

(Scholar J. Sci. & Tech. or SJST), is a peer-reviewed journal covering all areas of science and technology, launched in 2020. It published 6 Issues (Bi-Monthly) by the Scholar Indexing Society.

The audience for SJST include students, academics, scholars, researchers, and professionals in the fields of education, religions, health, technology, management, and engineering.