Research Focus Areas Research Articles

Hotspots and trends in solar-driven interfacial evaporation technology based on bibliometric management and analysis

The solar-driven interface evaporation technology (SDIE) is an innovative and environmentally friendly desalination method, highly favored by researchers due to its low energy consumption, high efficiency, absence of secondary pollution, and alignment with sustainable development principles. By utilizing widely distributed solar energy as the driving force and employing simple and portable photothermal evaporation structures as the core component, SDIE achieves efficient energy conversion and demonstrates excellent seawater desalination capabilities. Consequently, it has gained significant attention from researchers in both seawater desalination systems and water treatment applications. This paper presents a knowledge framework on seawater SDIE through scientometric analysis of academic documents from 2014 to 2023. The technology is visually analyzed using collaborative networks, reference co-citation networks, and keyword co-discovery techniques. The results demonstrate an exponential increase in the number of documents published over time, highlighting the growing significance of SDIE techniques in interdisciplinary research. Furthermore, this manuscript clarifies the main focus areas in current research including desalination performance evaluation, development of high efficient photothermal materials, system design optimization as well as mechanism analysis. Additionally, existing challenges and future research directions are proposed to provide guidance for SDIE further research.

Workforce Characteristics, Work Satisfaction, Stress, Burnout and Happiness of Early Career Music Therapists in the United States

As part of a larger, multi-step survey, 507 early career music therapists in the United States completed a series of 26 survey questions that focused on their work lives, stress, burnout and happiness. Descriptive analysis of responses to these questions suggest the majority of these early career professionals were satisfied with their jobs and work conditions, and worked in ways they found fulfilling and meaningful. However, these data also suggest a number of challenges for early career professionals that included low salary satisfaction, high stress and burnout, and overall lower happiness than music therapists with more work experience. In particular, low levels of access to supervision and support for continuing education suggest that some early career music therapists may not be receiving the professional support they need to grow and thrive. Recommendations, along with focus areas for additional research, provide a lens through which these concerns may be addressed.

Strategy and Models of Buildings Maintenance – a Literature Survey

In the article comprehensive insights into the field of building maintenance, emphasizing the importance of keywords, collaborative efforts among authors, and the evolving research landscape are provided. The study conducts a thorough literature review using Scopus as a search engine, employing the full-counting method for authorship, and VOSviewer software for bibliometric analysis. The results reveal distinct data sets focusing on building maintenance from general to specific, with each set reflecting unique aspects and considerations. Bibliometric maps illustrate author collaboration and keyword connections within each set, highlighting evolving research trends and areas of focus. The study concludes with recommendations for future research, emphasizing the ongoing need for exploration and development in building maintenance.

The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect

Integrating artificial intelligence (AI) stands out as the most dynamic and innovative breakthrough in introducing disruptive paths in the varied domains of education. This bibliometric analysis delved into the trajectory of AI’s evolving landscape within educational settings over two decades, encompassing 324 articles published from 2003 to 2023, sourced from the Scopus database. The study uncovers a substantial surge in publications with a steep increase from 2020, peaking in 2023. Notably, while established nations like China and the US lead in publications, notable contributions from other developing countries, including Saudi Arabia, India, and Malaysia, underscored a global shift. Key terms, including students, machine learning, AI and higher education, underpin the central focus research areas while emerging themes like “generative AI” and chatbots like “chatgpt” mark the evolving trends. Further, the study prompts sustained global partnerships, interdisciplinary collaborations, and continued exploration of emerging AI technologies to catalyze educational advancements.

Fruitful Examination of STEM Education Over Two Decades: Bibliometric Analysis

This study aims to provide a concise overview of scientific output, prominent researchers, countries, and areas of focus in the field of STEM education research. An examination of the scholarly output in the field of STEM education was conducted using bibliometric methods, focusing on publications published from 2002 to 2023. The methodology employed in this study is a bibliometric analysis technique combined with computational mapping analysis. The tools used are VOSviewer and Rstudio. A total of 25,318 articles were retrieved from the Scopus databases. These papers were published in social sciences, engineering, scientific education, physics, and astronomy journals, among others. The primary results indicate that the number of publications on STEM education has been generally consistent from 2002 to 2023. Co-authorship relationships primarily involve researchers from the same nation. Furthermore, a change in the areas of research focus was noted. Previous research has been extensively conducted in various fields, including the social sciences, engineering, scientific education, physics, and astronomy. A recent study has highlighted the significance of curriculum and curriculum development. In conclusion, research on STEM education still needs to be carried out and developed, especially regarding STEM-based teaching materials.

Bibliometrics analysis based on the Web of Science: Current trends and perspective of gastric organoid during 2010-2023.

Three-dimensional organoid culture systems have been established as a robust tool for elucidating mechanisms and performing drug efficacy testing. The use of gastric organoid models holds significant promise for advancing personalized medicine research. However, a comprehensive bibliometric review of this bur-geoning field has not yet been published. To analyze and understand the development, impact, and direction of gastric organoid research using bibliometric methods using data from the Web of Science Core Collection (WoSCC) database. This analysis encompassed literature pertaining to gastric organoids published between 2010 and 2023, as indexed in the WoSCC. CiteSpace and VOSviewer were used to depict network maps illustrating collaborations among authors, institutions and keywords related to gastric organoid. Citation, co-citation, and burst analysis methodologies were applied to assess the impact and progress of research. A total of 656 relevant studies were evaluated. The majority of research was published in gastroenterology-focused journals. Globally, Yana Zavros, Hans Clevers, James M Wells, Sina Bartfeld, and Chen Zheng were the 5 most productive authors, while Hans Clevers, Huch Meritxell, Johan H van Es, Marc Van de Wetering, and Sato Toshiro were the foremost influential scientists in this area. Institutions from the University Medical Center Utrecht, Netherlands Institute for Developmental Biology (Utrecht), and University of Cincinnati (Cincinnati, OH, United States) made the most significant contributions. Currently, gastric organoids are used mainly in studies investigating gastric cancer (GC), Helicobacter pylori-infective gastritis, with a focus on the mechanisms of GC, and drug screening tests. Key focus areas of research using gastric organoids include unraveling disease mechanisms and enhancing drug screening techniques. Major contributions from renowned academic institutions highlight this field's dynamic growth.

Sustainable HRM the next hotspot for management research? A study using topic modelling

PurposeSustainable human resource management (SuHRM), which aims to achieve positive environmental, social and economic outcomes at the same time, has gained prominence across industries. However, the challenges of implementing SuHRM across industries are largely under-studied. The purpose of this study is to identify the grey areas in the field of SuHRM by using an unsupervised learning algorithm on the abstracts of 607 papers published in prominent journals from 1995 to 2023. Most of the articles have been published post-2018.Design/methodology/approachThe analysis of the data (abstracts of the selected articles) has been done using topic modelling via latent Dirichlet algorithm (LDA).FindingsThe output from topic modelling-LDA reveals nine primary focus areas of SuHRM research – the link between SuHRM and employee well-being; job satisfaction; challenges of implementing SuHRM; exploring new horizons in SuHRM; reaping the benefits of using SuHRM as a strategic tool; green HRM practices; link between SuHRM and organisational performance; link between corporate social responsible and HRM.Research limitations/implicationsThe insights gained from this study along with the discussions on each topic will be extremely beneficial for researchers, academicians, journal editors and practitioners to channelise their research focus. No other study has used a smart algorithm to identify the research clusters of SuHRM.Originality/valueBy utilizing topic modeling techniques, the study offers a novel approach to analyzing and understanding trends and patterns in HRM research related to sustainability. The significance of the paper would be in its potential to shed light on emerging areas of interest and provide valuable implications for future research and practice in Sustainable HRM.

Bibliometric Analysis of the Application of Internet of Things (IoT) in Financial Services

This study presents a comprehensive bibliometric analysis of the application of Internet of Things (IoT) in financial services. The analysis encompasses a systematic review and analysis of existing literature, identifying key research themes, trends, and patterns in the field. Through the utilization of bibliometric indicators such as co-citation analysis, keyword co-occurrence analysis, and citation network analysis, the intellectual structure of the domain is mapped, uncovering emerging research topics and areas of focus. The study also provides insights and recommendations for future research directions and practical implications. The findings contribute to advancing our understanding of IoT's role in reshaping financial services and offer guidance for researchers, policymakers, and industry stakeholders.

Advances in the biological characteristics and stem maintenance mechanisms of tumor stem cells

Tumor is one of the most serious diseases that threaten human health and social development, and it is the second most common cause of death worldwide. The latest statistics show that malignant tumors have surpassed cardiovascular disease as the leading cause of death in developed countries. Drug resistance, metastasis, and recurrence of tumors continue to present urgent challenges in clinical treatment. Tumor stem cells (TSCs) are a specific subset of cells that possess high capabilities of self-renewal, differentiation potential, tumorigenicity and drug resistance. They are resistant to non-specific treatment methods such as chemotherapy and radiotherapy, and play a crucial role in tumor initiation, metastasis, drug resistance, and recurrence. The surface markers, stemness maintenance mechanisms, microenvironment, and metabolic reprogramming of TSCs have become areas of intense research focus. The latest research results provide novel targets and strategies for the identification of TSCs and targeted therapy. This paper reviews the surface markers (CD133, CD44, etc.), self-renewal and epithelial mesenchymal transition (EMT) signaling pathways (Wnt/β-catenin, Hedgehog, etc.), microenvironment characteristics, metabolic reprogramming (glycolysis, oxidative phosphorylation, etc.) and their roles in the initiation, development, metastasis and drug resistance of TSCs.

Prioritizing water availability study settings to address geogenic contaminants and related societal factors

Water availability for human and ecological uses depends on both water quantity and water quality. The U.S. Geological Survey (USGS) is developing strategies for prioritizing regional-scale and watershed basin-scale studies of water availability across the nation. Previous USGS ranking processes for basin-scale studies incorporated primarily water quantity factors but are now considering additional water quality factors. This study presents a ranking based on the potential impacts of geogenic constituents on water quality and consideration of societal factors related to water quality. High-concentration geogenic constituents, including trace elements and radionuclides, are among the most prevalent contaminants limiting water availability in the USA and globally. Geogenic constituents commonly occur in groundwater because of subsurface water–rock interactions, and their distributions are controlled by complex geochemical processes. Geogenic constituent mobility can also be affected by human activities (e.g., mining, energy production, irrigation, and pumping). Societal factors and relations to drinking water sources and water quality information are often overlooked when evaluating research priorities. Sociodemographic characteristics, data gaps resulting from historical data-collection disparities, and infrastructure condition/age are examples of factors to consider regarding environmental justice. This paper presents approaches for ranking and prioritizing potential basin-scale study areas across the contiguous USA by considering a suite of conventional physical and geochemical variables related to geogenic constituents, with and without considering variables related to societal factors. Simultaneous consideration of societal and conventional factors could provide decision makers with more diverse, interdisciplinary tools to increase equity and reduce bias in prioritizing focused research areas and future water availability studies.

A Global Bibliometric Analysis of the Top 100 Most Cited Articles on Carotid Body Tumors.

The carotid body, situated at the common carotid artery bifurcation, comprises specialized glomus cells responsible for sensing blood oxygen, carbon dioxide, pH, and temperature changes, crucial for regulating breathing and maintaining oxygen homeostasis. Carotid body tumors (CBTs), arising from these cells, are rare, representing only 0.5% of head and neck tumors, often presenting as benign, slow-growing, vascularized masses. In February 2023, this bibliometric analysis was conducted, which involved screening 1733 articles from the Web of Science database. The screening process was based on citation count, and articles were selected for inclusion based on specific criteria that focused on CBTs located within the carotid bifurcation. Rigorous selection involved independent screening and data extraction by four authors. The top 100 articles, published between 1948 and 2019, totaled 6623 citations and were authored by 98 unique first authors from 22 countries and 77 institutions, spanning 42 journals. Treatment articles were the predominant category, comprising 49% of the literature. This analysis offers insights into publication trends, identifies literature gaps, and outlines areas of research focus, providing a valuable resource to guide future studies on CBTs.

Integration of Carbon Dioxide Removal (CDR) Technology and Artificial Intelligence (AI) in Energy System Optimization

In response to the urgent need to address climate change and reduce carbon emissions, there has been a growing interest in innovative approaches that integrate AI and CDR technology. This article provides a comprehensive review of the current state of research in this field and aims to highlight its potential implications with a clear focus on the integration of AI and CDR. Specifically, this paper outlines four main approaches for integrating AI and CDR: accurate carbon emissions assessment, optimized energy system configuration, real-time monitoring and scheduling of CDR facilities, and mutual benefits with mechanisms. By leveraging AI, researchers can demonstrate the positive impact of AI and CDR integration on the environment, economy, and energy efficiency. This paper also offers insights into future research directions and areas of focus to improve efficiency, reduce environmental impact, and enhance economic viability in the integration of AI and CDR technology. It suggests improving modeling and optimization techniques, enhancing data collection and integration capabilities, enabling robust decision-making and risk assessment, fostering interdisciplinary collaboration for appropriate policy and governance frameworks, and identifying promising opportunities for energy system optimization. Additionally, this paper explores further advancements in this field and discusses how they can pave the way for practical applications of AI and CDR technology in real-world scenarios.

EGF-driven EGFR/miR-27b-3p/FOXO1 promotes rat FSH synthesis and secretion.

The adenopituitary secretes follicle-stimulating hormone (FSH), which plays a crucial role in regulating the growth, development, and reproductive functions of organisms. Investigating the process of FSH synthesis and secretion can offer valuable insights into potential areas of focus for reproductive research. Epidermal growth factor (EGF) is a significant paracrine/autocrine factor within the body, and studies have demonstrated its ability to stimulate FSH secretion in animals. However, the precise mechanisms that regulate this action are still poorly understood. In this research, invivo and invitro experiments showed that the activation of epidermal growth factor receptor (EGFR) by EGF induces the upregulation of miR-27b-3p and that miR-27b-3p targets and inhibits Foxo1 mRNA expression, resulting in increased FSH synthesis and secretion. In summary, this study elucidates the precise molecular mechanism through which EGF governs the synthesis and secretion of FSH via the EGFR/miR-27b-3p/FOXO1 pathway.

Research Trends and Areas of Focus on Wind Erosion: A Bibliometric Analysis during 1941-2022

Research Trends and Areas of Focus on Wind Erosion: A Bibliometric Analysis during 1941-2022

Global trends in research on MOG antibody-associated disease: bibliometrics and visualization analysis.

The purpose of this study was to investigate the current research status, focus areas, and developmental trends in the field of Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) through an analysis of scientific literature. The relevant research articles on MOGAD published from 1947 to 2022 were retrieved from the Web of Science database. The quantitative output of MOGAD related research articles, their distribution by country/region, data on collaborative publishing, influential authors, high-yield institutions, keywords, hotspots, and development trends were analyzed. Additionally, visual knowledge maps were generated using VOSviewer and Citespace. There has been a steady increase in the number of MOGAD related publications indicating that the subject has garnered increasing interest among researchers globally. The United States has been the leading contributor with 496 papers (19.25%), followed by China (244, 9.63%), Japan (183, 7.10%), the United Kingdom (154, 5.98%), and Germany (149, 5.78%). Among these countries, the United Kingdom boasts the highest citation frequency at the rate of 46.49 times per paper. Furthermore, active collaboration in MOGAD related research is observed primarily between the United States and countries such as Canada, Germany, Australia, Italy, the United Kingdom and Japan. Mayo Clinic ranks first in total articles published (109) and frequency of citations per article (77.79). Takahashi Toshiyuki from Tohoku University is the most prolific author, while Multiple Sclerosis and Related Disorders is the most widely read journal in this field. "Disease Phenotype", "Treatment", "Novel Coronavirus Infection and Vaccination", "Immunopathological Mechanisms", "Clinical characteristics of children" and "Prognosis" are the primary keywords clusters in this field. "Novel Coronavirus Infection and Vaccination" and "Immunopathological Mechanisms" are research hotspots and have great development potential. The past three decades have witnessed a significant expansion of research on MOGAD. The pathogenetic mechanism of MOGAD is poised to be the prominent research focus in this field in the foreseeable future.

A Bibliometric Perspective of Regional Languages on Select Scholarly Articles

Regional languages are spoken within a specific geographical area or by a particular ethnic group and may have official recognition or be used informally. Research on regional languages is essential for several reasons. First, it helps to preserve and promote cultural heritage and linguistic diversity. Second, it can inform language policy and education practices. Third, it can contribute to our understanding of human cognition and communication. This study examines the research publications on regional languages and their impact using data from the database Web of Science from 1990 to 2022. The results indicate that research publications on regional languages have steadily increased over time. The United States ranks first in total publications. The Ohio State University has the highest number of publications among all institutions. The most frequently published journal was Zeitschrift Fur Dialektologie Und Linguistik, and the leading authors were Cynthia G. Clopper and Robert A. Fox. The analysis of keywords used in these publications showed that dialect, language policy, dialectology, bilingual education, and local language were the main research areas of interest. Overall, this study provides insights into the growing interest in regional languages and the research focus areas in this field

Screening of Multitarget Compounds against Acetaminophen Hepatic Toxicity Using In Silico, In Vitro, and In Vivo Approaches.

Combination therapy and multitarget drugs have recently attracted much attention as promising tools to fight against many challenging diseases and, thus, represent a new research focus area. The aim of the current project was to screen multitarget compounds and to study their individual and combined effects on acetaminophen-induced liver injury. In this study, 2 of the best hepatoprotective multitargeting compounds were selected from a pool of 40 major compounds present in Curcuma longa and Cinnamomum zeylanicum by using molecular docking, ADMET profiling, and Pfizer's rule of five. The two selected compounds, quercetin and curcumin, showed a high binding affinity for the CYP2E1 enzyme, MAPK, and TLR4 receptors that contribute to liver injury. The candidates caused the decreased viability of cancer cell lines (HepG2 and Huh7) but showed no effect on a normal cell line (Vero). Examination of biochemical parameters (ALT, AST, ALP, and bilirubin) showed the hepatoprotective effect of the candidate drugs in comparison with the control group, which was confirmed by histological findings. Taken together, quercetin and curcumin not only satisfied the drug-like assessment criterion and proved to be multitargeting by preventing liver damage but also showed anticancer activities.

Cerebrovascular Dysfunction in Alzheimer's Disease and Transgenic Rodent Models.

Alzheimer's Disease (AD) and Alzheimer's Disease-Related Dementia (ADRD) are the primary causes of dementia that has a devastating effect on the quality of life and is a tremendous economic burden on the healthcare system. The accumulation of extracellular beta-amyloid (Aβ) plaques and intracellular hyperphosphorylated tau-containing neurofibrillary tangles (NFTs) in the brain are the hallmarks of AD. They are also thought to be the underlying cause of inflammation, neurodegeneration, brain atrophy, and cognitive impairments that accompany AD. The discovery of APP, PS1, and PS2 mutations that increase Aβ production in families with early onset familial AD led to the development of numerous transgenic rodent models of AD. These models have provided new insight into the role of Aβ in AD; however, they do not fully replicate AD pathology in patients. Familial AD patients with mutations that elevate the production of Aβ represent only a small fraction of dementia patients. In contrast, those with late-onset sporadic AD constitute the majority of cases. This observation, along with the failure of previous clinical trials targeting Aβ or Tau and the modest success of recent trials using Aβ monoclonal antibodies, has led to a reappraisal of the view that Aβ accumulation is the sole factor in the pathogenesis of AD. More recent studies have established that cerebral vascular dysfunction is one of the earliest changes seen in AD, and 67% of the candidate genes linked to AD are expressed in the cerebral vasculature. Thus, there is an increasing appreciation of the vascular contribution to AD, and the National Institute on Aging (NIA) and the Alzheimer's Disease Foundation recently prioritized it as a focused research area. This review summarizes the strengths and limitations of the most commonly used transgenic AD animal models and current views about the contribution of Aβ accumulation versus cerebrovascular dysfunction in the pathogenesis of AD.

Inhibiting H2AX Can Ameliorate Myocardial Ischemia/Reperfusion Injury by Regulating P53/JNK Signaling Pathway.

Myocardial ischemia-reperfusion (I/R) injury is a significant area of focus in cardiovascular disease research. I/R injury can increase intracellular oxidative stress, leading to DNA damage. H2AX plays a crucial role in DNA repair. This study utilized mouse and cell models of myocardial I/R to investigate the impact of H2AX on cardiomyocytes during I/R. This study initially assessed the expression of H2AX in MI/R mice compared to a sham surgery group. Subsequently, cardiac function, infarct area, and mitochondrial damage were evaluated after inhibiting H2AX in MI/R mice and a negative control group. Furthermore, the study delved into the molecular mechanisms by analyzing the expression of H2AX, P53, p-JNK, SHP2, p-SHP2, p-RAS, parkin, Drp1, Cyt-C, Caspase-3, and Caspase-8 in cardiomyocytes following the addition of JNK or P53 agonists. The results from western blotting in vivo indicated significantly higher H2AX expression in the MI/R group compared to the sham group. Inhibiting H2AX improved cardiac function, reduced myocardial infarct area, and mitigated mitochondrial damage in the MI/R group. In vitro experiments demonstrated that inhibiting H2AX could attenuate mitochondrial damage and apoptosis in myocardial cells by modulating the P53 and JNK signaling pathways. These findings suggested that inhibiting H2AX may alleviate myocardial I/R injury through the regulation of the P53/JNK pathway, highlighting H2AX as a potential target for the treatment of myocardial ischemia/reperfusion injury.

Information Security Awareness Literature Review: Focus Area for Measurement Instruments

A critical factor in information security is information security awareness, that each individual owns. Information security awareness can be increased by measuring individual security awareness in several areas using the Human Aspect of Information Security Questionnaire (HAIS-Q). This article was created to find a focus area used in several studies as a criterion for measuring security awareness. The search for focus areas was carried out using the Systematic Literature Review (SLR) method from several articles in the last five years. The results of this article will facilitate the selection of focus areas in future research on measuring information security awareness.