Smartphone Apps, Micro-Controller Kits, and Webservers for Scientific Research

A special issue of Methods and Protocols (ISSN 2409-9279).

Deadline for manuscript submissions: closed (15 March 2022) | Viewed by 3920

Special Issue Editors


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Guest Editor
Antibody & Product Development Lab, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore
Interests: Virology; molecular methods; protein engineering; allergology

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Guest Editor
1. Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
2. Biomedical Engineering Institute, Chiang Mai University, Chiang Mai 50200, Thailand
Interests: pattern recognition; digital image processing; neural networks; fuzzy sets and systems; big data analysis; data mining; medical signal and image processing
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Guest Editor
Antibody & Product Development Lab, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore
Interests: antibody structural modeling; HIV drug resistance; computational structural biology

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Guest Editor
School of Computer Engineering, Nanyang Technological University, 639798 Singapore, Singapore
Interests: inter-related and interdependent domains; health and learning-related applications; bioinformatics and biomedical engineering

Special Issue Information

Dear Colleagues,

The smartphone revolution along with the micro-controller kits like Arduino, Raspberry Pi, and Micro:Bit have changed the way scientific research can be carried out just as the Internet did a decade earlier. Computers are not indispensable in research labs, and it is foreseeable that smartphone apps and micro-controller kit devices will continue to gain traction. This Special Issue allows the reporting of self-assembled micro-controller kit devices, smartphone apps, and even web servers and their usage for augmenting scientific research.

Reporting should be about how these solutions are developed and what processes they enable or optimize. In certain cases, the novel usage of such solutions to make scientific research easier can also be reported. This Special Issue aims to capture the problem-solving “do-it-yourself” (DIY) spirit in scientists in their various disciplines concerning different issues. The problem or issue identified should be of sufficient commonality to research in the respective disciplines and the advantages of the new method or protocol should be highlighted including but not limited to cost-effectiveness.

Dr. Samuel Ken-En Gan
Dr. Nipon Theera-Umpon
Dr. Chinh Tran To Su
Dr. Chee Keong Kwoh
Guest Editors

Manuscript Submission Information

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Keywords

  • smartphone apps
  • Arduino
  • Raspberry Pi
  • Micro:bit
  • webserver
  • problem-solving
  • DIY

Published Papers (1 paper)

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7 pages, 1176 KiB  
Article
Authorship Weightage Algorithm for Academic Publications: A New Calculation and ACES Webserver for Determining Expertise
by Wei-Ling Wu, Owen Tan, Kwok-Fong Chan, Nicole Bernadette Ong, David Gunasegaran and Samuel Ken-En Gan
Methods Protoc. 2021, 4(2), 41; https://0-doi-org.brum.beds.ac.uk/10.3390/mps4020041 - 09 Jun 2021
Viewed by 2801
Abstract
Despite the public availability, finding experts in any field when relying on academic publications can be challenging, especially with the use of jargons. Even after overcoming these issues, the discernment of expertise by authorship positions is often also absent in the many publication-based [...] Read more.
Despite the public availability, finding experts in any field when relying on academic publications can be challenging, especially with the use of jargons. Even after overcoming these issues, the discernment of expertise by authorship positions is often also absent in the many publication-based search platforms. Given that it is common in many academic fields for the research group lead or lab head to take the position of the last author, some of the existing authorship scoring systems that assign a decreasing weightage from the first author would not reflect the last author correctly. To address these problems, we incorporated natural language processing (Common Crawl using fastText) to retrieve related keywords when using jargons as well as a modified authorship positional scoring that allows the assignment of greater weightage to the last author. The resulting output is a ranked scoring system of researchers upon every search that we implemented as a webserver for internal use called the APD lab Capability & Expertise Search (ACES). Full article
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