Scientific Developments and New Technological Trajectories in Sensor Research

Coccia, Mario; Roshani, Saeed; Mosleh, Melika

doi:10.3390/s21237803

Cited by 48 publications

(21 citation statements)

References 136 publications

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“…Several studies have investigated different aspects of scientific performance, including the number of citations, publications, word occurrences across documents, collaborations, emerging disciplines, etc. (Peterson, 2010 : Coccia et al, 2021 ). Aksnes et al ( 2019 ) argue that citations are increasingly used as performance indicators within the research system, and scientists with high reputation and many citations will attract more scientific opportunities (e.g., grants, international collaborations, etc.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Scientific laws of research funding to support citations and diffusion of knowledge in life science

2022

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One of the main problems in scientometrics is to explore the factors that affect the growth of citations in publications to identify best practices of research policy to increase the diffusion of scientific research and knowledge in science and society. The principal purpose of this study is to analyze how research funding affects the citation-based performance of scientific output in vital research fields of life science, which is a critical province (area of knowledge) in science to improve the wellbeing of people. This study uses data from the Scopus database in 2015 (to assess the impact on citations in 2021, after more than 5 years) concerning different disciplines of life science, given by “agricultural and biological sciences”, “biochemistry, genetics, and molecular biology”, “Immunology and microbiology”, “neuroscience” and “pharmacology, toxicology and pharmaceutics”. Results demonstrate that although journals publish un-funded articles more than funded publications in all disciplines of life science, the fraction of total citations in funded papers is higher than the share in the total number of publications. In short, funded documents receive more citations than un-funded papers in all research fields of life science under study. Findings also support that citations of total (funded + un-funded), funded, and un-funded published papers have a power-law distribution in all five research fields of life science. Original results here reveal a general property in scientific development: funded research has a higher scaling potential than un-funded publications. Critical implications of research policy, systematized in a decision-making matrix, suggest that R&D investments in “Neuroscience” can generate a positive impact of scientific results in science and society-in terms of citations-higher than other research fields in medicine. Overall, then, results here can explain some characteristics driving scientific change and help policymakers and scholars to allocate resources towards research fields that facilitate the development and diffusion of scientific research and knowledge in life science for positive societal impact.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Scientific laws of research funding to support citations and diffusion of knowledge in life science

2022

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“…The evolution of the ecosystem of sensors technology over the last few decades is unparalleled with an intensive activity of research in public and private laboratories (Andersen et al, 2004;Coccia et al, 2021;Coccia, 2005;2015, 2017a, 2017bPagliaro and Coccia, 2021). Sensor technology is co-evolving with growing interactions of technological systems directed to fulfil human goals and needs and solve problems in society.…”

Section: Discussionmentioning

confidence: 99%

“…The research field of sensor is undergoing a significant change to support the evolution of science and technologies in society (Andersen et al, 2004; Coccia et al, 2021; Coccia and Watts, 2020; Coccia, 2019, 2019a, 2021, 2021a; Rao et al, 2018; Wilson, 2004). The goal of this study is an exploratory analysis to detect main sensor technologies applied in cancer research for improving diagnosis and treatments and reducing whenever possible mortality between countries.…”

Section: Introduction and Goal Of Investigationmentioning

confidence: 99%

Sensor Technology for Opening New Pathways in Diagnosis and Therapeutics of Breast, Lung, Colorectal and Prostate Cancer

Roshani

Coccia

Mosleh

2022

Preprint

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This study analyzes the interaction between sensor research and technology and different types of cancer (breast, lung, colorectal and prostate) that generates a high mortality in society with the goals of detecting new directions for improving diagnosis and therapeutics. This study develops an approach of computational scientometrics based on data of the Web of Science from 1991 to 2021 period. The results of this analysis show the vital role of biosensor and electrochemical biosensor applied in breast cancer, lung cancer, and prostate cancer research, except colorectal cancer for latter one. Instead, research of optical sensors is developing mainly in the directions of breast, prostate, and colorectal cancer for improving diagnostics. Finally, oxygen sensor research is developing for breast and lung cancer for applications in breath analysis in new treatment processes. Preliminary results presented here clearly illustrate the evolutionary paths of main sensor technologies that have a great potential in future diagnosis of cancer, but we also need additional examinations of other aspects and factors for supporting appropriate strategies of management of technology to foster the technology transfer of sensor technologies in cancer research for improving diagnosis and, whenever possible, reduce world-wide mortality of cancer ins society.

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“…In order to support corporate, industrial, economic, and social change for competitive advantage of firms and nations, and to improve overall human progress, technological innovation plays an important role in society for satisfying needs, achieving goals, and solving problems of adopters directed to supporting corporate, industrial, economic, and social change [86][87][88][89][90]. Awareness technological and social change requires a thorough understanding of scientific developments and new technological trajectories [91][92][93][94][95].…”

Section: Introductionmentioning

confidence: 99%

DeepKnuckle: Deep Learning for Finger Knuckle Print Recognition

et al. 2022

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Biometric technology has received a lot of attention in recent years. One of the most prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the finger is not exposed to surfaces, FKP would be a dependable and trustworthy biometric. We provide an FKP framework that uses the VGG-19 deep learning model to extract deep features from FKP images in this paper. The deep features are collected from the VGG-19 model’s fully connected layer 6 (F6) and fully connected layer 7 (F7). After applying multiple preprocessing steps, such as combining features from different layers and performing dimensionality reduction using principal component analysis (PCA), the extracted deep features are put to the test. The proposed system’s performance is assessed using experiments on the Delhi Finger Knuckle Dataset employing a variety of common classifiers. The best identification result was obtained when the Artificial neural network (ANN) classifier was applied to the principal components of the averaged feature vector of F6 and F7 deep features, with 95% of the data variance preserved. The findings also demonstrate the feasibility of employing these deep features in an FKP recognition system.

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Scientific Developments and New Technological Trajectories in Sensor Research

Cited by 48 publications

References 136 publications

Scientific laws of research funding to support citations and diffusion of knowledge in life science

Scientific laws of research funding to support citations and diffusion of knowledge in life science

Sensor Technology for Opening New Pathways in Diagnosis and Therapeutics of Breast, Lung, Colorectal and Prostate Cancer

DeepKnuckle: Deep Learning for Finger Knuckle Print Recognition

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