Major Research Topics Research Articles

A Literature Review of Big Data-Based Urban Park Research in Visitor Dimension

Urban parks provide multiple benefits to human well-being and human health. Big data provide new and powerful ways to study visitors’ feelings, activities in urban parks, and the effect they themselves have on urban parks. However, the term “big data” has been defined variably, and its applications on urban parks have so far been sporadic in research. Therefore, a comprehensive review of big data-based urban park research is much needed. The review aimed to summarize the big data-based urban park research in visitor dimension by a systematic review approach in combination with bibliometric and thematic analyses. The results showed that the number of publications of related articles has been increasing exponentially in recent years. Users’ days data is used most frequently in the big data-based urban park research, and the major analytical methods are of four types: sentiment analysis, statistical analysis, and spatial analysis. The major research topics of big data-based urban park research in visitor dimension include visitors’ behavior, visitors’ perception and visitors’ effect. Big data benefits urban park research by providing low-cost, timely information, a people-oriented perspective, and fine-grained site information. However, its accuracy is insufficient because of coordinate, keyword classification and different kinds of users. To move forward, future research should integrate multiple big data sources, expand the application, such as public health and human–nature interactions, and pay more attention to the big data use for overcoming pandemic. This review can help to understand the current situation of big data-based urban park research, and provide a reference for the studies of this topic in the future.

Using data citation to define a knowledge domain: A case study of the Add‐Health dataset

AbstractTo date, most studies in scientometric map and track the main topics in a knowledge domain by measuring publications in core journals or keyword searches in databases. The present study instead proposes a novel metrics in which a knowledge domain is mapped and tracked via articles that cite the same openly accessible dataset. We retrieved 1,537 journal articles citing the National Longitudinal Study of Adolescent to Adult Health (Add‐Health) as the basis for an investigation of the major research topics associated with this dataset and how they evolved over time. To identify the primary research interests associated with the dataset, co‐word network modularity analysis was used. Another novel aspect of this study is that it juxtaposes the research topics identified by the co‐word approach with those generated by topic modeling: an approach that complements network modularity analysis, and allows for cross‐referencing between the results of these two methods. Keyness analysis was also performed to identify significant keywords in different time periods, which enables tracing of research interests in Add‐Health as they evolve. The methodological implications of using data citation as the basis for delineating a knowledge domain and techniques for its mapping are also discussed.

Corporate Governance and Quality of Financial Reporting in Emerging Markets: A Structured Literature Review

This article is a structured literature review (SLR) on the role of corporate governance (CG) in ensuring/improving the quality of financial reporting (FRQ) in emerging markets and identify avenues for future research. A rigorous search strategy applied across several databases resulted in 51 articles. A detailed analytical framework is used to analyse and synthesise these articles. SLR reveals five major themes of research: regulation, comparative analysis, specificities of country, political connections, and religion. These themes are examined by the selected articles using archival data of non-financial listed firms. This SLR contributes to academia and practice by providing a comprehensive descriptive analysis of the characteristics of articles; synthesising the existing research using a detailed categorisation analysis based on a comprehensive review of themes researched, measurement of CG and FRQ, methodology used, findings and use of interaction terms; and suggesting the avenues for future research. To the best of our knowledge, this study is the first to take a detailed account of the role of CG to ensure FRQ in emerging markets.

High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees

The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group (WG) was recently established under the IEEE Geoscience and Remote Sensing Society (GRSS) Earth Science Informatics (ESI) Technical Committee to connect a community of interdisciplinary researchers in remote sensing (RS) who specialize in advanced computing technologies, parallel programming models, and scalable algorithms. HDCRS focuses on three major research topics in the context of RS: 1) supercomputing and distributed computing, 2) specialized hardware computing, and 3) quantum computing (QC). This article presents these computing technologies as they play a major role for the development of RS applications. The HDCRS disseminates information and knowledge through educational events and publication activities which will also be introduced in this article.

Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach

Technology and information and communication technology (ICT) have been gaining importance in tourism and hospitality with a booming research interest during the last years and specifically recently due to the disruptions of the COVID-19 crisis. Hence it is useful to structure the existing knowledge in this field to better guide directions for future research. To that end, this study synthesizes the academic literature about ‘technology and ICT’ in tourism and hospitality by carrying out a bibliometric analysis. The study identified 2424 documents, including the words ‘technolog*’ and/or ‘ICT’ combined with ‘touris*’, ‘hospitality’, ‘hotel’, and/or ‘travel’ that were published in the period 1988–2021 and collected from tourism and hospitality journals indexed in the Web of Science (WOS) and SCOPUS databases. The analysis was carried out by using SciMAT software, which offers different bibliometric tools and methods in order to achieve consistent results through a keyword co-occurrence analysis and an evolution map. The findings revealed the major research themes, including technology acceptance model, electronic word-of-mouth, user-generated content, self-services technologies, robotics, smart tourism, virtual reality, and trust in technology. The study concludes by identifying and discussing a future research agenda.

Research Priorities on One Health: A Bibliometric Analysis.

ObjectiveOne Health is an emerging research area that has received increasing attention globally. In this study, we aimed to explore the global research trend and hotspots of One Health and provide a reference for potential future research and practices.MethodsThis was a bibliometric descriptive study of publications on One Health in four directions, including zoonotic diseases, antimicrobial resistance, food safety, and vector-borne infections. Publications from 2003 to 2021 were retrieved using the Scopus database on One Health, which were screened based on the PRISMA guidelines. Keywords were analyzed and visualized using VOSviewer software.ResultsA total of 12,815 publications were included. The annual number of publications and those on each topic showed a gradual increase from 181 in 2003 to 1,647 in 2020, with an average annual growth rate of about 20.2%; the top three countries in terms of the number of publications were the United States of America (n=3,588), the United Kingdom (n=1,429) and China (n=1,233); the major research subjects were mainly in the natural sciences, with fewer social sciences subjects involved (n = 312; 1%). The main research directions within the area of zoonotic diseases included viral, bacterial, parasitic zoonotic diseases, and vector-borne diseases, with a small amount of antimicrobial resistance research. The major research interests within antimicrobial resistance were Enterobacteriaceae drug-resistant bacteria, methicillin-resistant Staphylococcus aureus, Pseudomonas aeruginosa, and antimicrobial resistance gene detection; research on food safety clustered around agronomy research, aquaculture research as well as a small amount of antimicrobial resistance research in food; and research on vector-borne diseases focused on mosquito-borne infectious diseases, tick-borne infectious diseases, and vectors.ConclusionsThe scientific literature on One Health has witnessed a rising global trend. Most research has focused on the human-animal health interface, while environmental health is often neglected. Research subjects mainly fall within natural science disciplines, with less social science research. More support needs to be given to interdisciplinary and intersectoral cooperation and research in the future.

A bibliometric analysis of research on terrestrial isopods.

Terrestrial isopods (Oniscidea) are crustaceans that thrive in terrestrial environments. This study provides an overview of the major topics in terrestrial isopod research during the last 70 years in order to provide an example of publication practices in invertebrate zoology and to examine how basic research in this area is transferred to its applications. Co-citation analysis and bibliographic coupling based on citation data from the Web of Science Core Collection was used. Findings show that while research on terrestrial isopods expanded in applicative research prioritised by research policies, basic research continues to flourish. The most productive countries in the field include the major developed economies and several smaller nations. In the smaller countries, as well as in France and Italy, the bulk of woodlouse research is performed at a few institutions with traditions in this field. Some of the most influential works have been published in periodicals or monographs that are not indexed in Web of Science or Scopus and lack impact factors. Conference proceedings represent some of the most influential publications in the field. Our findings indicate that smaller and developing economies make significant contributions in invertebrate zoology if their research organisations can achieve continuity of research on a topic. Another conclusion is that journal metrics may be a misleading descriptor of the impact of studies and researchers in this field. Ultimately, these results identify several examples of how basic research in invertebrate zoology leads to applications with considerable socio-economic impact.

Population Genetics and Signatures of Selection in Early Neolithic European Farmers.

Human expansion in the course of the Neolithic transition in western Eurasia has been one of the major topics in ancient DNA research in the last 10 years. Multiple studies have shown that the spread of agriculture and animal husbandry from the Near East across Europe was accompanied by large-scale human expansions. Moreover, changes in subsistence and migration associated with the Neolithic transition have been hypothesized to involve genetic adaptation. Here, we present high quality genome-wide data from the Linear Pottery Culture site Derenburg-Meerenstieg II (DER) (N = 32 individuals) in Central Germany. Population genetic analyses show that the DER individuals carried predominantly Anatolian Neolithic-like ancestry and a very limited degree of local hunter-gatherer admixture, similar to other early European farmers. Increasing the Linear Pottery culture cohort size to ∼100 individuals allowed us to perform various frequency- and haplotype-based analyses to investigate signatures of selection associated with changes following the adoption of the Neolithic lifestyle. In addition, we developed a new method called Admixture-informed Maximum-likelihood Estimation for Selection Scans that allowed us test for selection signatures in an admixture-aware fashion. Focusing on the intersection of results from these selection scans, we identified various loci associated with immune function (JAK1, HLA-DQB1) and metabolism (LMF1, LEPR, SORBS1), as well as skin color (SLC24A5, CD82) and folate synthesis (MTHFR, NBPF3). Our findings shed light on the evolutionary pressures, such as infectious disease and changing diet, that were faced by the early farmers of Western Eurasia.

Talent Management in the Banking Sector: A Systematic Literature Review

This paper conducts a systematic literature review and relates to how talent management (TM) and recruitment strategies are applied in the financial sector, and specifically in the banking sector. The goals of this paper are to provide a comprehensive analysis of TM research in the financial sector, identify and debate major research topics, and suggest future research possibilities. The study examines publications that were published between 2000 and 2021, which were obtained from the databases Web of Science and Scopus. According to the findings, academics are becoming more interested in TM in the banking sector, which appears to be linked to the severe scarcity of skilled people who possess required talents. The findings are relevant to both academia and the banking sector, as the paper provides data relating to what has already been researched in academia, while also highlighting the need for more research into how TM is understood, valued and implemented. Consequently, this paper paves the way for academics to conduct empirical research on TM and recruitment tactics in the banking sector and the financial sector as a whole. This paper is structured according to the PRISMA requirements for systematic literature reviews.

A review of research into tourism and climate change - Launching the annals of tourism research curated collection on tourism and climate change

The tourism sector declared a climate emergency in 2020. It is against this background that this Curated Collection on Climate Change and Tourism is launched. A bibliometric analysis of 1290 articles reviews the 35-year development of climate change and tourism scholarship, including major research themes, key knowledge gaps, and our capacity to deliver the enormous knowledge requirements for an effective sectoral climate response. A central finding is that the last three decades of research have failed to prepare the sector for the net-zero transition and climate disruption that will transform tourism over the next three decades. The climate change imperative demands more of the tourism academy and this collection will stimulate research and capacity for climate resilient tourism development.

Fabrication and flow rate characterization of a DRIE process based valveless piezoelectric micropump

Micropumps have become one of the major research topics in the field of microfluidics. Different actuators have been used in active micropumps including piezoelectric ones, which convert electrical energy to mechanical energy. In this study, a piezoelectric disc was designed as an actuator and was integrated into a fabricated piezoelectric micropump. Unlike wet etching methods, which is generally used to etch layers of relatively high thickness in the silicon wafer, dry etching was used in this study. Aluminum was used as a mask material during the fabrications-steps, and the fabrication process was shortened with the use of the masking steps. The etching process of the slot, in which the piezoelectric disc was placed, and etching of the inlet/outlet channels were performed simultaneously. Thus, the processing time was significantly shortened. The fabrication of this silicon-based valveless micropump was accomplished by using the DRIE (deep reaction-ion etching) technique, which provided controlled etching. Experiments were conducted on the fabricated micropump with the use of the bulk micromachining technology to deliver the desired pumping action. The leakage and the air entrapment between the consecutive micropump structural layers were satisfactorily eliminated. This micropump is capable of delivering a promising flow rate of 52 (µl min−1) for deionized water, which corresponds to a 150 [Hz] square wave type and a peak-to-peak voltage of 60 (V) Vp -p . No moving mechanical valves were included so that the risks of clogging, reduced performance, and reduced reliability due to wear and fatigue were minimized. Not only gases and liquids but also fluids containing particles could be used as the working fluid for this micropump. The piezoelectric micropump design was optimized to achieve a high time-averaged flow rate (>50 (µl min−1)) with a relatively low excitation voltage (<100 (V) Vp -p ) as opposed to the use of a high excitation voltage.

A genetic algorithm-based approach for solving the target [formula omitted]-coverage problem in over and under provisioned directional sensor networks

Target coverage and network lifetime extension have been addressed as two major research topics over the last two decades. This paper focuses on “target Q-Coverage” in Directional Sensor Networks (DSNs) where coverage requirement of each target in the environment differs from that of the others. In such network, how to achieve the coverage requirement and simultaneously prolong the network lifetime is a major problem. In this study, two target-oriented genetic-based algorithms were developed to solve the problem. The first algorithm was developed to cover the targets in an over-provisioned environment, and the second algorithm was developed in an under-provisioned environment. The main objective of the first algorithm is satisfying the coverage requirement of targets by activating minimal sensors, while the second algorithm was developed to achieve a maximum balanced coverage for all the targets in the network. To evaluate the performance of the developed algorithms, they were compared with some state-of-the-art algorithms presented in recent studies. In this regard, several parameters, including Distance Index, Q-Balancing Index, Coverage Quality, Power Consumption, and Activate Sensors were taken into account. The comparative results indicated that the developed algorithms performed efficiently in solving the Q-coverage problem in both environments.

대학상담센터에 관한 연구동향 분석: 1979∼2021년

The purposes of this research were to analyze research trends on university counselingcenters, to improve in-depth understanding of the centers, and to suggest future developmentaldirections for the university counseling centers. For this, 57 research papers on universitycounseling centers from 1979 to 2021, were analyzed. The analysis results are as follows. First,many research papers on university counseling centers were performed from 2010s. Second,academic journals were published more than theses. Third, the number of research authors wasmainly one, and joint researches were increased. Fourth, there was no difference betweenquantitative and qualitative researches. Fifth, the subjects were mainly university students andcounselors. Sixth, major research topics were actual conditions and perceptions of centers, andcounselors’ characteristics and supervisions.

Review on Smart Factory Operations: A Bibliometric Analysis

Over the last few years, existing and emerging Information and Communication Technologies (ICT) and artificial intelligence have been changing the way that factories conduct their manufacturing activities. Operation system of smart factories has been of great interest to researchers in recent years. However, the research concerning operations for the smart factory is still at the nascent stage. To address this need, we conduct a citation and co-citation analysis on smart factory operation system research published in the 11-year period from 2010-2020. A total of 351 papers were selected from Web of Science database. In the citation analysis, we depend on the degree centrality and betweenness centrality to identify 36 important papers. In addition, our main path analysis reveals the role of ICT in facilitating fast development of operation in smart factory. In the co-citation analysis, we identify four major research themes: resource reconfiguration, predictive production planning model, collaborative scheduling mechanism and technology basis of logistics. This is among the first studies to examine the knowledge structure of smart factory operations research by using evidence-based analysis methods. Recommendations for the future research directions have suggested based on our analysis.

A bibliometric analysis of research trends in bat echolocation studies between 1970 and 2021

Bats are among the few mammals that have acquired a sophisticated echolocation ability, attracting considerable attention for their uniqueness. Over the past 50 years, numerous research projects have been designed to study bat echolocation. The overall trend is complex and the dynamics of those publications are difficult to capture. In this study, we conducted quantitative bibliometric analyses of academic articles to identify global research trends in bat echolocation. Data were retrieved from the Web of Science, with 2914 articles sampled in our dataset from 1970 to 2021. We analyzed the global research trends in terms of annual publications, active journals, authors, institutions, and countries. We identified growth trends in the past 50 years, to which the United States was found to be the largest contributor. The University of Bristol, the University of Munich, and the Smithsonian Institute were the representative institutions of publication records. Meanwhile, Acta Chiropterologica, Journal of Experimental Biology, and Journal of the Acoustical Society of America were the top three active platforms for bat echolocation research. Co-occurrence analysis of keywords identified five clusters that correspond to five major research topics in bat echolocation: “habitat use and conservation,” “evolution,” “physiology and nervous system,” “communication and social call,” and “hunting and predation.” The overlay visualization indicated that studies on the evolution of bat echolocation had become the latest research trend, which we summarized and reviewed. Lastly, based on the results obtained, we discussed the importance of future directions for integrative multi-omics studies to uncover the mechanisms and evolution of bat echolocation.

Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis.

BackgroundAdvances in biomedical research using deep learning techniques have generated a large volume of related literature. However, there is a lack of scientometric studies that provide a bird’s-eye view of them. This absence has led to a partial and fragmented understanding of the field and its progress.ObjectiveThis study aimed to gain a quantitative and qualitative understanding of the scientific domain by analyzing diverse bibliographic entities that represent the research landscape from multiple perspectives and levels of granularity.MethodsWe searched and retrieved 978 deep learning studies in biomedicine from the PubMed database. A scientometric analysis was performed by analyzing the metadata, content of influential works, and cited references.ResultsIn the process, we identified the current leading fields, major research topics and techniques, knowledge diffusion, and research collaboration. There was a predominant focus on applying deep learning, especially convolutional neural networks, to radiology and medical imaging, whereas a few studies focused on protein or genome analysis. Radiology and medical imaging also appeared to be the most significant knowledge sources and an important field in knowledge diffusion, followed by computer science and electrical engineering. A coauthorship analysis revealed various collaborations among engineering-oriented and biomedicine-oriented clusters of disciplines.ConclusionsThis study investigated the landscape of deep learning research in biomedicine and confirmed its interdisciplinary nature. Although it has been successful, we believe that there is a need for diverse applications in certain areas to further boost the contributions of deep learning in addressing biomedical research problems. We expect the results of this study to help researchers and communities better align their present and future work.

Temporal development of research publications on SARS-CoV-2 and COVID-19

The coronavirus disease 2019 (COVID-19) pandemic has affected daily life throughout the world. The scientific community has globally responded to the pandemic with research on an unprecedented scale to help prevent disease spread and terminate the pandemic, resulting in a proliferation of scientific publications. In this article, the temporal trend of research on COVID-19 is analyzed to describe its development and inform a prediction of its future. Four other viruses are included in the analysis as negative or positive controls to illustrate that the concerns of the general public and/or the interest of the scientific community are major driving forces in the development of research. Our analysis predicts that COVID-19 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) will be major topics of research until at least 2025. We discuss the implications of our analysis for three sectors of community: researchers, epidemiologists, and young students.

Recent Advances in the Absolute Nodal Coordinate Formulation: Literature Review From 2012 to 2020

Abstract Absolute nodal coordinate formulation (ANCF) is a nonincremental nonlinear finite element procedure that has been successfully applied to the large deformation analysis of multibody systems for more than two decades. Although a comprehensive review on ANCF was conducted by Gerstmayr et al. (2013, “Review on the Absolute Nodal Coordinate Formulation for Large Deformation Analysis of Multibody Systems,” J. Comput. Nonlinear Dyn., 8(3), p. 031016), significant theoretical developments have been made since then at a much faster pace to improve the element accuracy and computational efficiency. In order to overview recent advances in ANCF simulation capabilities that are not covered in the first review paper, this paper aims to conduct a comprehensive review of 259 papers concerning ANCF published from 2012 to 2020. It is shown that the ANCF element library has grown substantially for beam, plate/shell, solid elements, eliminating drawbacks of ANCF elements developed earlier. The application areas have extended, especially in the aerospace field, and the enhanced ANCF simulation capabilities have been demonstrated in solving challenging engineering problems. Research efforts have been made continually to integrate computer-aided design (CAD) and analysis with ANCF elements. Furthermore, computational improvements and multiphysics simulations have become major research topics for ANCF. It is also demonstrated that the accurate ANCF geometry description can be exploited to facilitate structural optimization of multibody systems.

Feedomics provides bidirectional omics strategies between genetics and nutrition for improved production in cattle.

Increasing the efficiency and sustainability of cattle production is an effective way to produce valuable animal proteins for a growing human population. Genetics and nutrition are the 2 major research topics in selecting cattle with beneficial phenotypes and developing genetic potentials for improved performance. There is an inextricable link between genetics and nutrition, which urgently requires researchers to uncover the underlying molecular mechanisms to optimize cattle production. Feedomics integrates a range of omic techniques to reveal the mechanisms at different molecular levels related to animal production and health, which can provide novel insights into the relationships of genes and nutrition/nutrients. In this review, we summarized the applications of feedomics techniques to reveal the effect of genetic elements on the response to nutrition and investigate how nutrients affect the functional genome of cattle from the perspective of both nutrigenetics and nutrigenomics. We highlighted the roles of rumen microbiome in the interactions between host genes and nutrition. Herein, we discuss the importance of feedomics in cattle nutrition research, with a view to ensure that cattle exhibit the best production traits for human consumption from both genetic and nutritional aspects.

A review analysis of global Bluetongue virus-related research articles from 2000 to 2020

Bluetongue virus (BTV) is an arbovirus, causes bluetongue (BT) disease of ruminants responsible for mortality and trade limitation. The objective of this study was to provide a descriptive review analysis of global research activity for the period 2000 to 2020. The number of articles, temporal evolution, geographical distribution, countries, funding agencies, authors, research theme, and the source was analyzed and presented in visualization maps. Search query resulted in 3878 documents from 5681 authors, and 2017 articles were analyzed. The annual number of publications showed a steep increase from 2005 to 2020 related to attention to BT as an exotic disease in Europe, as well as the interest in vector over-distribution due to climate change. Most of the studies were performed in Europe, followed by Asia and North America. The top active countries in article production were the United Kingdom and the United States. A considerable international collaboration network of the UK with the USA and European countries was observed. However, the collaboration was weak with Asian and African countries. The major research themes are genomic viral studies, the role of Culicoides as a vector, serological and molecular epidemiology, and vaccination. In conclusion, an increase in scientific production and international collaboration was noticed during the last two decades. However, international collaboration needs more attention to African, and South American countries. The current study provides useful references for the policymaker, academics, animal health professionals, and funding agencies to follow the past and except the future BTV themes.