Journal Name Research Articles

Effectiveness of neuro-feedback on Alzheimer's rehabilitation: a bibliometric analysis.

Alzheimer's Disease (AD) is a neurodegenerative disorder with limited treatment options. Neurofeedback, a technique that trains brainwaves, has shown promise in addressing cognitive impairments. To conduct a bibliometric analysis to explore the current research on neurofeedback as a treatment for AD. A systematic literature review was performed based on PRISMA guidelines on 142 papers. Different bibliometric parameters like the author's country, author names, keywords, journal names, and country of citations were analyzed, and a network visualization chart was generated to understand the correlation of Alzheimer-related search terms to neurofeedback. Research is concentrated in Europe and North America, with a significant gap in Asian countries. A growing body of evidence supports the potential benefits of neurofeedback for AD. A strong correlation has been found between neurofeedback and AD-related terms. Clinical trials suggest positive outcomes for neurofeedback in improving cognitive impairments and working memory. Neurofeedback shows promise as a potential treatment for AD. Further research and clinical studies are needed to explore the full potential of neurofeedback for enhancing the quality of life for individuals with AD.

BIOMIMETIC APPROACH FOR ADAPTIVE, RESPONSIVE AND KINETIC BUILDING FACADES: A BIBLIOMETRIC REVIEW OF EMERGING TRENDS

Nature serves as a data source for many disciplines, offering strategies such as sensitivity, adaptability, robustness, high resilience, lightness, energy efficiency, self-healing and self-improvement. The characteristics within this data pool provide alternatives for solving similar problems in different disciplines. Terms such as biomimicry, bio-informed, bio-inspired, nature-inspired, used to denote the process of deriving solutions from natural strategies, involve learning and adapting from nature. It is recognized as a significant tool not only in fields such as engineering, materials and robotics but also in the advancement of architectural knowledge. In recent years, research has prominently focused on adaptive, adaptive and kinetic biomimetic facade designs for energy efficiency. Within the scope of this study, publications on adaptive, adaptive and kinetic biomimetic facades were systematically reviewed and the state of the literature and contributions to the field were highlighted using bibliometric methods. In this context, a search was conducted in the Scopus database using predefined keywords to access relevant studies, evaluating aspects such as publication years, types of publications, countries of publication, Scopus category of the article, journal names and frequently used keywords. Subsequently, a content analysis was conducted for the most cited studies. As a result, it was observed that biomimetic adaptive/sensitive/kinetic facade designs in architecture, particularly in the context of energy efficiency, contribute to innovative studies, addressing aspects such as thermoregulation, natural ventilation and the use of renewable materials.

A bibliometric deep-dive: uncovering key trends, emerging innovations, and future pathways in sustainable employability research from 2014 to 2024

Sustainable employability refers to an individual’s ability to work and maintain employment over a long-term period. Despite significant progress in current research on sustainable employability, improvements are needed in areas such as consistency in definition, research on specific populations, industry-specific challenges, and methodological limitations. The current bibliometric analysis aims to address these areas by systematically studying published articles on sustainable employability from 2014 to 2024. A total of 170 articles on sustainable employability were retrieved from January 2014 to January 2024 using the Web of Science database. Various bibliometric information was collected, including the number of publications, keywords, countries of origin, journal names, research hotspots, national cooperation, and journal citation data. The Netherlands published the highest number of papers on sustainable employability. Additionally, sustainable employability has remained a research hotspot over the past decade. The complexity and multidimensionality of this field highlights the increasing focus on employees’ psychological characteristics, work environment, and health management, emphasizing the importance of interdisciplinary collaboration in research.

Heart Failure and All-Cause Hospitalizations in Patients With Heart Failure

Heart failure (HF) hospitalization is a common end point in HF trials; however, how HF hospitalization is associated with all-cause hospitalization in terms of proportionality, correlation of treatment effects, and concomitant reporting has not been studied. To determine the ratio of HF to all-cause hospitalizations, whether reported treatment effects on HF hospitalization are associated with treatment effects on all-cause hospitalization, and how often all-cause hospitalization is reported alongside HF hospitalization. PubMed was searched from inception to September 2, 2024, for randomized clinical trials (RCTs) of HF treatments using MeSH (medical subject heading) terms and keywords associated with heart failure, ventricular failure, ventricular dysfunction, and cardiac failure, as well as the names of specific journals. RCTs of HF treatments and reporting on HF hospitalization published in 1 of 3 leading medical journals (New England Journal of Medicine, The Lancet, or JAMA). The PRISMA guidelines were followed. Data extraction was performed by 2 reviewers, and disagreements were resolved by consensus. Trial baseline characteristics and outcome data on HF and all-cause hospitalizations were extracted. The ratio of HF to all-cause hospitalizations was calculated. The association of HF hospitalization effects with all-cause hospitalization effects was evaluated using hierarchical bayesian models with weak priors. The posterior distribution was used to calculate the HF hospitalization treatment effects that would need to be observed before a high probability (97.5%) of a reduction in all-cause hospitalization could be achieved. The proportion of trials reporting all-cause hospitalization was calculated. HF and all-cause hospitalizations. Of 113 trials enrolling 261 068 patients (median proportion of female participants, 25.4% [IQR, 21.3%-34.2%]; median age, 66.2 [IQR, 62.8-70.0] years), 60 (53.1%) reported on all-cause hospitalization. The weighted median ratio of HF to all-cause hospitalizations was 45.9% (IQR, 30.7%-51.7%). This ratio was higher in trials with greater proportions of New York Heart Association class III or IV HF, with lower left ventricular ejection fractions, investigating nonpharmaceutical interventions, and that restricted recruitment to patients with HF and reduced ejection fraction. Reported effects on HF and all-cause hospitalizations were well-correlated (R2 = 90.1%; 95% credible interval, 62.3%-99.8%). In a large trial, the intervention would have to decrease the odds of HF hospitalization by 16% to ensure any reduction, 36% to ensure a 10% reduction, and 56% to ensure a 20% reduction in the odds of all-cause hospitalization with 97.5% probability. In this meta-analysis of HF trials, all-cause hospitalization was underreported despite a large burden of non-HF hospitalizations. Large reductions in HF hospitalization must be observed before clinically relevant reductions in all-cause hospitalization can be inferred.

Defining neonatal status epilepticus: A scoping review from the ILAE neonatal task force.

To review the available literature concerning the definition of neonatal status epilepticus (SE) and/or seizure burden. The International League Against Epilepsy Neonatal Task Force performed a scoping review of the definitions of neonatal SE. Following a systematic literature review, articles were screened and data were abstracted regarding: (1) article characteristics (author identification, publication year, journal name, digital object identifier, title, objective, and study design); (2) cohort characteristics (sample size, gestational age, seizure etiology); (3) definition of SE and/or seizure burden; and (4) the method used to identify and classify SE, including routine EEG (EEG), continuous EEG monitoring (cEEG), amplitude-integrated EEG (aEEG), or clinical features. The scoping review yielded 44 articles containing a definition of neonatal SE. Studies mainly included infants with hypoxic-ischemic encephalopathy or neonates considered at risk for seizures. SE identification and classification most often relied on cEEG. The majority of studies based the definition of SE on seizure duration, including summed duration of seizures comprising ≥50% of any 1-h epoch, recurrent seizures for >50% of the total recording time, or either electrographic seizures lasting >30 min and/or repeated electrographic seizures totaling >50% in any 1-h period. Seizure burden was reported in 20 studies, and the most commonly used approach assessed total seizure burden, defined as total duration of EEG seizures in minutes. Sixteen studies assessed the relationship between seizure burden and outcomes, and most identified a significant association between higher seizure burden and unfavorable outcomes. This scoping review demonstrates a substantial variation in neonatal SE definitions across the literature. The most common definitions were based around a 30-min seizure duration criterion, but evidence was insufficient to support that 30 min was a cutoff defining prolonged seizures or that seizures exceeding this burden were more likely to be pharmacoresistant or associated with worse outcomes. As a next step, the Neonatal Task Force intends to develop a standardized approach to assessing and describing neonatal seizure burden and defining neonatal SE. Prolonged seizures are a neurologic emergency, if untreated, can lead to permanent injury or death. In adults and children, seizures lasting longer than 30 min are believed to cause brain damage. However, it is not clear if this definition can be applied to neonates. The International League Against Epilepsy Neonatal Taskforce performed a scoping literature review which identified 44 articles containing a definition of neonatal status epilepticus. In this article, the authors reviewed the current used definitions for prolonged seizures in neonates to establish a relationship between seizure duration and neurological outcome. As a next step, the Neonatal Task Force intends to develop a standardized approach to assessing and describing neonatal seizure burden and defining neonatal SE.

Serve Dynamics: Applying a Bibliometric Approach in the Kinetics and Kinematics Analysis for Flat and Topspin Serves in Tennis

Objectives. The study aimed to completely examine the existing research on the investigation of kinetics and kinematics analysis for flat and topspin serves in tennis, with a special focus on improving performance and reducing injury risks for players. Material and Methods. In order to obtain a comprehensive understanding of the data, Scopus searched three variables in each record: (1) the author’s name, (2) the journal name in which the paper was published, and (3) the total number of citations. Bibliometric analysis was used as part of the analysis. To gain a thorough and accurate comprehension, the data was analyzed and interpreted using a variety of data triangulation techniques. Building distance-based co-occurrence networks for bibliometric analysis and synthesis was carried out using the VOS viewer software. The classification and grouping of the terms derived from titles, abstracts, and keywords were carried out based on their degree of interconnectedness. The terms “Serve Dynamics in Tennis”, “Kinetic Analysis in Tennis serve”, “Kinematic Analysis in Tennis serve”, and “Flat and Topspin serve in Tennis” are frequently used in the study, although their meanings are generally interpreted differently. The search yielded 125 papers and 2807 citations, which were used in the study conducted from 2001 to 2024. Results. The study’s findings revealed the primary authors, countries, and subject areas that contribute to a comprehensive understanding of research patterns, influential studies, authorship dynamics, thematic clusters, and international collaborations in the analysis of the kinetics and kinematics for flat and topspin serves in tennis. Conclusions. The study concludes by consolidating current information and identifying potential avenues for broadening the interdisciplinary scope of tennis serve research.

Addressing the antibody germline bias and its effect on language models for improved antibody design.

The versatile binding properties of antibodies have made them an extremely important class of biotherapeutics. However, therapeutic antibody development is a complex, expensive, and time-consuming task, with the final antibody needing to not only have strong and specific binding but also be minimally impacted by developability issues. The success of transformer-based language models in protein sequence space and the availability of vast amounts of antibody sequences, has led to the development of many antibody-specific language models to help guide antibody design. Antibody diversity primarily arises from V(D)J recombination, mutations within the CDRs, and/or from a few nongermline mutations outside the CDRs. Consequently, a significant portion of the variable domain of all natural antibody sequences remains germline. This affects the pre-training of antibody-specific language models, where this facet of the sequence data introduces a prevailing bias toward germline residues. This poses a challenge, as mutations away from the germline are often vital for generating specific and potent binding to a target, meaning that language models need be able to suggest key mutations away from germline. In this study, we explore the implications of the germline bias, examining its impact on both general-protein and antibody-specific language models. We develop and train a series of new antibody-specific language models optimized for predicting nongermline residues. We then compare our final model, AbLang-2, with current models and show how it suggests a diverse set of valid mutations with high cumulative probability. AbLang-2 is trained on both unpaired and paired data, and is freely available at https://github.com/oxpig/AbLang2.git.

Is metadata of articles about COVID-19 enough for multilabel topic classification task?

The ever-increasing volume of COVID-19-related articles presents a significant challenge for the manual curation and multilabel topic classification of LitCovid. For this purpose, a novel multilabel topic classification framework is developed in this study, which considers both the correlation and imbalance of topic labels, while empowering the pretrained model. With the help of this framework, this study devotes to answering the following question: Do full texts, MeSH (Medical Subject Heading), and biological entities of articles about COVID-19 encode more discriminative information than metadata (title, abstract, keyword, and journal name)? From extensive experiments on our enriched version of the BC7-LitCovid corpus and Hallmarks of Cancer corpus, the following conclusions can be drawn. Our framework demonstrates superior performance and robustness. The metadata of scientific publications about COVID-19 carries valuable information for multilabel topic classification. Compared to biological entities, full texts and MeSH can further enhance the performance of our framework for multilabel topic classification, but the improved performance is very limited. Database URL: https://github.com/pzczxs/Enriched-BC7-LitCovid.

Trends and insights in animal and biomedical research: A 5-year scientometric analysis of orthodontic peer-reviewed journals

Biomedical research plays a critical role in advancing orthodontic innovations by identifying new targets for therapeutic interventions and developing more effective, personalized orthodontic treatment. This study evaluates the major contributors and trends in animal-related orthodontic research over the past 5 years (2017-2023). All animal-related studies published in the eight orthodontic journals listed in the 2022 Journal Citation Reports between January 2017 and June 2023 were retrieved from the Web of Science Core Collection. After examination, the following bibliometric data were extracted from each article: title, authors, affiliations, geographic origin, year of publication, journal name, and keywords. Multiple bibliometric software packages including Biblioshiny R-package software, Datawrapper, and Datasmith were used to analyze different bibliometric outcomes. A total of 3669 articles were screened from which 266 were selected and included in the analysis. The annual growth rate of production exhibited a decline of 11.18%. Most of the included studies focused on orthodontic tooth movement (32.3%), mainly utilizing rat models (50%). Although the United States accounted for the highest number of publications (n = 236), the trend in funded research showed a decreasing trajectory over time, with notably limited funding from the National Institutes of Health. This study reveals a declining trend in overall animal-related orthodontic research, highlighted by a significant decrease in National Institutes of Health funding over time. To address this gap, academic institutions and professional organizations should support initiatives fostering biomedical orthodontic research.

Current trends and hotspots of depressive disorders with colorectal cancer: A bibliometric and visual study

BACKGROUND Depression is strongly associated with colorectal cancer (CRC). Few bibliometric analyses have systematically summarized the research focus and recent progress in this field. AIM To determine the research status and hotspots by bibliometric analysis of relevant publications on the relationship between CRC and depression. METHODS Articles on depression in CRC patients were collected from the Web of Science Core Collection. CiteSpace and VOSviewer software were used to visualize bibliometric networks. RESULTS From 2001 to 2022, Supportive Care in Cancer , the United States, Tilburg University, and Mols were the most productive and influential journal, country, institution, and author name. Co-occurrence cluster analysis of keywords placed quality of life, anxiety, and psychological stress in the center of the visual network diagram. Further clustering was performed for the clusters with studies of the relevant mechanism of action, which showed that: (1) Cytokines have a role essential for the occurrence and development of depressive disorders in CRC; (2) MicroRNAs have a role essential for the development of depressive disorders in CRC; (3) Some anticancer drugs have pro-depressant activity; and (4) Selective serotonin reuptake inhibitors have both antitumor and antidepressant activity. CONCLUSION Life quality and psychological nursing of the cancer population were key topics. The roles of cytokines and microRNAs, the pro-depression activity of anticancer drugs and their antitumor properties deserve in-depth study.

An original study assessing biomarker success rate in breast cancer recurrence biomarker research

BackgroundBreast cancer is the second most common cause of cancer mortality worldwide. Biomarker discovery has led to advances in understanding molecular phenotyping and thus has a great potential for precision management of this diverse disease. Despite increased interest in the biomarker field, only a small number of breast cancer biomarkers are known to be clinically useful. Therefore, it is very important to characterise the success rate of biomarkers in this field and study potential reasons for the deficit. We therefore aim to achieve quantitative characterisation of the biomarker translation gap by tracking the progress of prognostic biomarkers associated with breast cancer recurrence.MethodsAn electronic systematic search was conducted in Medline and Embase databases using keywords and mesh headings associated with breast cancer recurrence biomarkers (1940–2023). s were screened, and primary clinical studies involving breast cancer recurrence biomarkers were selected. Upon identification of relevant literature, we extracted the biomarker name, date of publication and journal name. All analyses were performed using IBM SPSS Statistics and GraphPad prism (La Jolla, California, USA).ResultsA total of 19,195 articles were identified, from which 4597 articles reported breast cancer biomarkers associated with recurrence. Upon data extraction, 2437 individual biomarkers were identified. Out of these, 23 are currently recommended for clinical use, which corresponds to only 0.94% of all discovered biomarkers.ConclusionsThis study characterised for the first time the translational gap in the field of recurrence-related breast cancer biomarkers, indicating that only 0.94% of identified biomarkers were recommended for clinical use. This denotes an evident barrier in the biomarker research field and emphasises the need for a clearer route from biomarker discovery through to implementation.

Bibliometric Analysis of Research Developments on Differentiated Instruction

<p style="text-align:justify">This research attempts to map the trend of research related to differentiated instruction (DI). The research was conducted in May 2023 by researching research articles in the Scopus database. The search data from Scopus used title, abstract, and keyword searches. Research articles were analyzed descriptively based on year of publication, journal name, affiliation, country, and researcher name. The article database from Scopus was analyzed through VOSviewer and RStudio software so that a bibliometric map could be depicted in research related to DI. Based on the Scopus analysis results, it showed that publications of articles related to DI had increased from 2011 to 2021, although it decreased in 2016. The journal with the largest contributor to the publication of research articles related to DI was the Teaching and Teacher Education Journal. Vrije Universitiet Brusel was the university with the most published articles on DI. The country that contributed the most to the research articles related to DI was the United States. Struyven was the most productive scholar related to DI. Through network visualization, it was revealed that the evolution map of research related to DI was divided into five clusters.</p>

Carbapenem-resistant Enterobacteriaceae in the livestock, humans and environmental samples around the globe: a systematic review and meta-analysis

Carbapenem-resistant Enterobacteriaceae (CRE) have diminished treatment options causing serious morbidities and mortalities. This systematic review and meta-analysis assessed the prevalence and associated factors of Enterobacteriaceae infections in clinical, livestock and environmental settings globally. The population intervention comparison and outcome strategy was used to enroll studies using the preferred reporting system for systematic review and meta-analysis to include only cross-sectional studies. Search engines used to retrieve articles included journal author name estimator, PubMed, Google Scholar and African Journals Online (AJOL). The Newcastle–Ottawa scale was used to assess the quality of studies. Sixteen articles from 2013 to 2023 in Africa, Asia, Europe and South America were studied. The pooled prevalence of CRE was 43.06% (95% CI 21.57–66.03). Klebsiella pneumoniae (49.40%), Escherichia coli (26.42%), and Enterobacter cloacae (14.24%) were predominant. Klebsiella pneumoniae had the highest resistance with the blaKPC-2 in addition to blaNDM, blaOXA-48, blaIMP and blaVIM. The blaKPC-2 genes occurrence was associated with environmental (P-value < 0.0001) and South American studies (P-value < 0.0001), but there was no difference in the trends over time (P-value = 0.745). This study highlights the high rates of CRE infections, particularly within blaKPC production. Monitoring and surveillance programs, research and infection control measures should be strengthened. Additionally, further studies are needed to explore the mechanisms driving the predominance of specific bacterial species and the distribution of resistance genes within this bacterial family.

Seeking residents' views regarding Australian residential aged care: A scoping review.

This scoping review aimed to explore topics on which the views of residents of Australian residential aged care facilities (RACFs) have been sought. Scoping review methodology as outlined by Arksey and O'Malley was used to identify, explore and report on the range of literature regarding views of RACF residents. Seven electronic databases were searched using broad search terms relevant to the RACF context. Descriptive numerical analysis was completed for publication year, journal name and target profession, research methods and participant types. Thematic analysis then focussed on the aims of the included studies. Four thousand two hundred and ninety studies were screened, and 104 publications met the inclusion criteria. A broad range of topics were explored by researchers, with the largest number of papers focused on residents' views of systems within RACFs (n = 24) and new programs and interventions (n = 21). Smaller topic areas included health conditions and health-care services (n = 13), socialisation (n = 13), physical activity (n = 3), self-care (n = 4), leisure (n = 4), general everyday life (n = 20) and aspects of the residential aged care environment (n = 15). There was limited exploration of meaningful activity (n = 13). The inclusion of residents with cognitive impairment was inconsistent, and the voices of other stakeholders were often privileged. Voices of residents must be heard in order to prioritise the health and well-being of this population. More research which focuses on what is important to residents is needed and must include residents with cognitive impairment more effectively. Identification of optimal research methods with this population would make an important contribution in this area.

Latarjet Classics: An Analysis of The 50 Most-Cited Articles on The Latarjet Procedure

Purpose: The Latarjet procedure was initially described by Michel Latarjet in 1954 as a treatment for recurrent dislocations of the shoulder. Over the last decade, an arthroscopic approach has emerged as the natural evolution of the open procedure. The purpose of this study was to identify and analyze the fifty most-cited articles related to the Latarjet, analyze the associated characteristics of each article, and to evaluate whether surgeons are currently influenced by primarily higher versus lower-level studies. Methods: Various Boolean queries were searched on the Clarivate Analytics Web of Science, which yielded final search terms of topics on “latarjet OR latarjet-bristow OR bristow-latarjet OR latarjet-patte or patte-latarjet”. Information collected included: author demographics, study type, level of evidence, journal name, number of citations, and publication year. Results: The top fifty Latarjet articles had 5,319 citations and consisted of 0 level I, 3 level II, 8 level III, 25 level IV and 14 level V studies (date range: 1983 – 2017, median 2012). The most cited article received 454 citations. Authors from France (n = 14, 27%) contributed the most to included papers, followed by the United States (n = 8, 16%). Conclusions: The most-cited articles on the Latarjet procedure tend to be case series, cohort studies, and expert opinions published primarily by French and American authors between 2000 and 2016. With the recent technical innovation surrounding the Latarjet procedure and glenoid bone-block reconstruction in general, these articles may form the foundation that future higher level-of-evidence studies will build upon in their research.

Publication Rates of Poster and Podium Presentations at the American Association of Hip and Knee Surgeons Annual Meetings 2016 to 2019

BackgroundThe objective of this study was to provide the poster and podium publication rates from the 2016 to 2019 American Association of Hip and Knee Surgeons (AAHKS) annual meetings and assess the quality of presentations ultimately published during this time. MethodsPosters and podiums from 2016 to 2019 were located through the AAHKS e-poster and meeting archives. Titles were queried on Google, Google Scholar, and PubMed. Presentation title, topic type, number of authors, degrees held by first author, and award status were collected. For each identified full-text publication, journal name, study type, dates of online and print publication, and journal impact factor (JIF) were also obtained. ResultsA total of 1,274 abstracts were presented at the 2016 to 2019 AAHKS annual meetings with an overall publication rate of 67.8% (864 of 1,274). Podiums (4.0 months, 95% confidence interval [CI]: 3.0 to 4.0) were more likely to be published earlier than posters (7.0 months, 95% CI: 6.0 to 7.0) (P < .001). The median JIF of published abstracts was 3.3 (95% CI: 3.3 to 3.7) with no significant difference in mean JIF of published posters or podiums (3.3 ± 1.0 versus 3.3 ± 1.0, P = .554). The likelihood of publication was significantly higher for podiums (odds ratio [OR]: 3.41, 95% CI: 2.29 to 5.07, P < .001), award-winning presentations (OR: 4.78, 95% CI: 1.69 to 13.55, P = .003), and with more authors (OR: 1.09, 95% CI: 1.02 to 1.16, P = .014). DiscussionThis analysis demonstrates abstracts presented at the AAHKS annual meetings from 2016 to 2019 had an overall publication rate of 67.8%, with podiums (86.4%) 3 times as likely to be published as posters (63.6%). If selected to present at the AAHKS annual meeting, individuals can be confident that their work has a high chance of eventual publication.

Bibliometric analysis of most cited Peyronie's disease and its management publications.

Peyronie's disease (PD) is a common urologic illness, motivating numerous scientific investigations and publications. Scientific publications have more authors each year. A bibliometric review of the PD literature might help urologists and sexual medicine professionals comprehend publication tendencies in this subject. The current study was aimed at presenting a bibliometric analysis of PD, which is one of the important and trending subjects of andrology. On January 5, 2023, Web of Science scanned documents with the terms Peyronie's disease" "Peyronie's disease treatment", "Peyronie's disease management", "Peyronie's disease surgery" and "Peyronie's disease injection" from 1975 through 2023. Titles, years, authors, citations, citation indices, journal names, authors' countries of origin, article categories, and funding sources were recorded. "Clinical Efficacy, Safety and Tolerability of Collagenase Clostridium Histolyticum for the Treatment of Peyronie Disease in 2 Large Double-Blind, Randomized, Placebo Controlled Phase 3 Studies" has the most citations and citation index. Most of the T100 articles were published in 2020, primarily in the Journal of Urology. These articles mainly focused on treatment, especially surgeries. All of these articles were in English, and the vast majority of them were by authors from the US who were most frequently collaborated with by other authors. This research analyzed the top 100 PD studies. This research focused on pathophysiology, innovative surgical procedures, and new approaches of PD. It also recommended bigger databases and more financing for research.

Literature Review: Development of Credit Union Research Topics Perspectives in The Field of Financial Accounting

In the modern era, technological developments are changing so rapidly that they are causing social imbalances, including in the business world. Current entities must be able to adapt to changes in the modern era, one of which is the non-profit Credit Union entity. The purpose of this research is to examine trends in mapping the development of Credit Union research because considering the current conditions, many non-profit entities need information to make decisions quickly, accurately and accountably. This research uses descriptive quantitative methods with a Literature Review model using VOSviewer and Publish or Perish. The data used is secondary data obtained from the official website of the Scopus journal. The research conducted focuses on the sub areas of Financial Inclusion, Consumer Welfare, Commercial Banks and Cooperatives. The research results found a total of 200 Scopus articles from 2018 to 2024 and sorting was carried out to find articles that were relevant to Credit Unions. The results of this sorting found 59 Credit Union articles. Thus, the sample size of this research was 59 articles from the 200 articles found. The development of Credit Unions with analysis of topics, keywords, authors, journal names, organizations and countries is the result of research mapping. Researchers also found that the development of Credit Union research fluctuated every year based on the results of the researchers' analysis. The contribution of this research is to provide an overview of a broader research area for future researchers in the Credit Union research topic focused on financial accounting.

DINAMIKA PENELITIAN KEPATUHAN WAJIB PAJAK

This study explores the compliance of taxpayers in Indonesia from 2013 to 2023 by mapping research published in national scientific journals. The research methodology involves a thorough literature review, examining articles with the keyword "taxpayer compliance" on scientific journal websites. The population consists of articles on taxpayer compliance, and the sample is selected based on criteria such as keyword relevance, completeness, clarity, and online accessibilityThe mapping of journal names aims to categorize articles, facilitating information on journal consistency in publishing content related to taxpayer compliance. The findings reveal continuous publications on taxpayer compliance in scientific journals throughout the years, with 2017 dominating the articles. E-Jurnal Akuntansi emerges as the most prolific journal in publishing these articles. The prevalent research method is quantitative, with awareness of taxpayers being the most commonly studied variable. Implications of the study include recognizing E-Jurnal Akuntansi and Jurnal Akuntansi as promising channels for future researchers and the potential for more varied and in-depth results through the use of qualitative methods. The study also highlights the predominance of primary data sources and suggests the exploration of alternative sources such as observation and interviews for richer and more realistic data.

Exploring the Limits of Artificial Intelligence for Referencing Scientific Articles.

To evaluate the reliability of three artificial intelligence (AI) chatbots (ChatGPT, Google Bard, and Chatsonic) in generating accurate references from existing obstetric literature. Between mid-March and late April 2023, ChatGPT, Google Bard, and Chatsonic were prompted to provide references for specific obstetrical randomized controlled trials (RCTs) published in 2020. RCTs were considered for inclusion if they were mentioned in a previous article that primarily evaluated RCTs published by the top medical and obstetrics and gynecology journals with the highest impact factors in 2020 as well as RCTs published in a new journal focused on publishing obstetric RCTs. The selection of the three AI models was based on their popularity, performance in natural language processing, and public availability. Data collection involved prompting the AI chatbots to provide references according to a standardized protocol. The primary evaluation metric was the accuracy of each AI model in correctly citing references, including authors, publication title, journal name, and digital object identifier (DOI). Statistical analysis was performed using a permutation test to compare the performance of the AI models. Among the 44 RCTs analyzed, Google Bard demonstrated the highest accuracy, correctly citing 13.6% of the requested RCTs, whereas ChatGPT and Chatsonic exhibited lower accuracy rates of 2.4 and 0%, respectively. Google Bard often substantially outperformed Chatsonic and ChatGPT in correctly citing the studied reference components. The majority of references from all AI models studied were noted to provide DOIs for unrelated studies or DOIs that do not exist. To ensure the reliability of scientific information being disseminated, authors must exercise caution when utilizing AI for scientific writing and literature search. However, despite their limitations, collaborative partnerships between AI systems and researchers have the potential to drive synergistic advancements, leading to improved patient care and outcomes. · AI chatbots often cite scientific articles incorrectly.. · AI chatbots can create false references.. · Responsible AI use in research is vital..