F1000Research最新文献

{"title":"Head and neck dermatofibrosarcoma protuberans: Case series of extensive resections and reconstructions with literature review.","authors":"Skander Kedous, Ameni Amri, Alia Methnani, Yasmine Fertani, Amira Gallas, Rim Braham, Mohamed Dhaha, Souhail Jbali, Sawssen Dhembri","doi":"10.12688/f1000research.162699.1","DOIUrl":"10.12688/f1000research.162699.1","url":null,"abstract":"<p><p>Dermatofibrosarcoma protuberans is a rare, locally aggressive soft-tissue sarcoma. Head and neck involvement accounts for only 10-15% of cases. Achieving clear margins in this region is challenging owing to anatomical constraints. Such cases often require extensive resection and complex reconstructions. This study presents a case series of extensive dermatofibrosarcoma resections in the head and neck, focusing on the surgical margins, reconstruction strategies, recurrence rates, and adjuvant therapy. We report four cases of head and neck dermatofibrosarcoma involving the cheek and scalp. Surgery included wide local excision with margins of 3-5 cm, which was confirmed intraoperatively by frozen section analysis. Reconstruction involved free flaps, local flaps, and healing with secondary intention. The choice depends on the defect size and location. Adjuvant radiotherapy was administered to selected cases. All patients achieved negative margins. One patient developed flap necrosis that required revision surgery. No local recurrence was observed during the follow-up (1-7 years). Head and neck dermatofibrosarcoma justifies aggressive surgical resection to achieve clear margins, which is the key to reducing the risk of recurrence. Free flaps and local reconstruction techniques ensure good functional and aesthetic outcomes. Adjuvant radiotherapy is indicated in patients with close margins or deep invasion. Long-term follow-up is essential owing to its high recurrence potential.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"294"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12086507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144101613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrated data pipeline for semantic data representation of the flame spray pyrolysis process.","authors":"Manuel Vollbrecht, Keno Krieger, Jannis Grundmann, Henk Birkholz, Norbert Riefler, Lutz Mädler","doi":"10.12688/f1000research.161252.2","DOIUrl":"10.12688/f1000research.161252.2","url":null,"abstract":"<p><p>Ongoing digitalization and data-driven developments in materials science and engineering (MSE) emphasize the growing importance of reusing research data and enabling machine accessibility, which requires robust data management and consistent semantic data representation. Ontologies have emerged as powerful tools for establishing interoperable and reusable data structures from inconsistent data structures. Despite advancements in semantic data representation for specific applications, integrating application ontologies with primary data repositories, such as electronic lab notebooks (ELNs), to feed world data remains an open task. As a use case in the MSE domain, this work presents a system based on semantic technologies from the point of view of engineers, developed with the help of information scientists, and unraveled on a small scale. The development of an application ontology (AO) was elaborated for flame spray pyrolysis (FSP) processes with the implementation of a data pipeline. The proposed FSP application ontology emerges from experimental in-house best-practice procedures and is adapted to the mid-level Project Material Digital core ontology (PMDco) to allow interoperability within the MSE domain. The pipeline retrieves manually acquired experimental data from an ELN, translates it into a machine-actionable format, and converts it into a Resource Description Framework (RDF) format to support semantic interoperability. The latter was stored in a triple store with a SPARQL interface, enabling findable and accessible datasets that are searchable and traceable. By creating semantically linked data structures in line with FAIR principles, this approach allows traceable and findable experimental results between stakeholders through both human-readable and machine-actionable formats. Seamless integration of the modular microservices of the data pipeline within established lab practices minimizes disruption while maintaining the software framework. The present work demonstrates the practical implementation of a FAIR data pipeline within a laboratory setting, paving the way for future data-centric science.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"173"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12120422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Terminal efficiency of Peruvian university students in the second specialty programs of a dental school over seven years.","authors":"Karen Llajaida Cabanillas-Yllesca, Karla Lucero Avalos-Baltodano, Roberto A León-Manco, María Claudia Garcés-Elías, Cesar D Rojas-Senador","doi":"10.12688/f1000research.157705.2","DOIUrl":"10.12688/f1000research.157705.2","url":null,"abstract":"<p><strong>Background: </strong>Terminal efficiency (TE), the proportion of students completing academic programs within the expected timeframe, is a critical metric for assessing postgraduate health education quality, yet it remains underexplored in Latin American dental specialties. Efficient training is vital for producing competent professionals to meet regional healthcare demands. This study aimed to determine the TE of Peruvian university students in second specialty dental programs at a Peruvian university from 2017 to 2023.</p><p><strong>Methods: </strong>A longitudinal, cross-sectional analysis was conducted using 257 complete records from the university institutional repository. Inclusion criteria encompassed full documentation of admission, academic status, and graduation dates. TE was calculated as the time from document submission to graduation, categorized as ≤1 year or ≥2 years. Statistical analyses included Chi-square tests, non-parametric Mann-Whitney U and Kruskal-Wallis tests, Poisson regression, and hierarchical multiple linear regression on log-transformed TE.</p><p><strong>Results: </strong>Mean TE was 0.93 years (SD=1.22), with 72.37% of students (n=186) completing within ≤1 year. Significant variations were observed by submission year (p=0.001) and specialty (p<0.001), with Oral and Maxillofacial Radiology (0.30 years) outperforming Periodontics and Implantology (1.76 years). The submission year was the only significant predictor of mean TE (β=0.144, p<0.001).</p><p><strong>Conclusion: </strong>Dental programs of a Peruvian university demonstrate robust TE, though specialty-specific and temporal disparities highlight areas for improvement. Targeted interventions, such as streamlined thesis processes and specialty-specific support, could enhance efficiency, informing educational policy in Latin America.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1307"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12123260/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144198642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodology for generating chorioallantoic membrane patient-derived xenograft (CAM-PDX) models of pleural mesothelioma and performing preclinical imaging for the translation of cancer studies and drug screening.","authors":"Jan Schulze, Sarah Barnett, Liam Shaw, Anne Herrmann, Harish Poptani, Doris M Rassl, Alexander Haragan, Michael Shackcloth, Joseph J Sacco, Judy M Coulson","doi":"10.12688/f1000research.163596.1","DOIUrl":"10.12688/f1000research.163596.1","url":null,"abstract":"<p><strong>Background: </strong>Pleural mesothelioma is a cancer of the lung lining associated with asbestos exposure. Platinum/pemetrexed chemotherapy has been used for many years but provides little benefit and, despite recent immunotherapy advances, prognosis remains poor underpinning the need for development of novel therapeutics or drug repurposing. Fertilized hens' eggs provide a rapid and cost-effective alternative to murine models of pleural mesothelioma which are commonly used in preclinical studies, with chorioallantoic membrane (CAM) xenografts being a partial replacement for mouse flank xenografts. Here we describe methods to generate mesothelioma patient-derived xenografts on the CAM (CAM-PDX), and to subsequently assess these PDX nodules by preclinical imaging and histology.</p><p><strong>Methods: </strong>Fragments of surplus mesothelioma tissue obtained from patient biopsies were implanted onto the CAM on embryonic day 7 (E7), fresh or following cryopreservation, with the established PDX dissected on E14 and fixed for histological/immunohistochemical analysis. The optimal freezing method was determined by comparing tissue integrity and cellular content of cryopreserved tissue fragments with paired fresh samples via histological/immunohistochemical analyses. [ ¹⁸F]-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) was used to assess viability of PDXs <i>in ovo.</i></p><p><strong>Results: </strong>Methodologies for processing, cryopreservation, re-animation, and engraftment of mesothelioma tissue fragments were established. Cryopreservation of biopsy samples and parallel processing of contiguous sections allows for assessment of mesothelioma cellularity. CAM-PDXs, generated from fresh or slow-frozen tissue, were well vascularized whilst maintaining the architecture and cellular composition of the patient tissue. Furthermore, uptake of [ ¹⁸F]-FDG following intravenous injection could be visualized and quantified.</p><p><strong>Conclusions: </strong>The CAM is a rapid platform for engrafting patient-derived tissue, maintaining elements of the tumor microenvironment and recapitulating heterogeneity observed in mesothelioma. Combining the CAM-PDX model and FDG-PET/CT provides a quantitative <i>in vivo</i> platform for pre-screening of novel treatment strategies and drug combinations, with the potential for development of patient tumor avatars for predicting clinical response.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"481"},"PeriodicalIF":0.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12188182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling the devaluation puzzle: Empirical insights into the transmission channel on balance of payments and output in Ethiopia.","authors":"Yigermal Maru Ayinewa, Mesele Belay Zegeye, Tesfahun Ayanaw Alemu, Abate Belaye Tefera","doi":"10.12688/f1000research.151984.2","DOIUrl":"10.12688/f1000research.151984.2","url":null,"abstract":"<p><strong>Background: </strong>Empirical studies on the impact of devaluation in developing countries, including Ethiopia, have revealed diverse and mixed results. The effects can be positive or negative depending on the specific economic context and policies in place.This study addresses the devaluation puzzle by providing a more comprehensive and nuanced understanding of how devaluation affects the balance of payments and output.</p><p><strong>Methods: </strong>To achieve this, we employ a recursive structural vector autoregressive (SVAR) model focusing on Ethiopia from 2001Q1 to 2023Q4.</p><p><strong>Results: </strong>The estimation results indicate that the real effective exchange rate channel effectively influences both the balance of payments and output in Ethiopia. Additionally, while foreign asset reserves, money supply, and inflation channels have a stronger impact on output, their effect on the balance of payments is relatively weak. The analysis further indicates that currency depreciation can improve the BOP in the short period by enhancing export competitiveness; however, it may have negative long-period effects due to rising import prices. Similarly, although an increased money supply can stimulate economic activity and strengthen the BOP, excessive expansion risks inflation and trade deficits. Furthermore, inflation negatively impacts both the BOP and GDP by escalating import costs and diminishing competitiveness. Foreign exchange reserves play a crucial role in supporting external liquidity and investor confidence, essential for economic stability.</p><p><strong>Conclusion: </strong>The interconnectedness of these factors emphasizes the need for policymakers to implement effective management strategies, including enhancing foreign reserve management, controlling inflation, and adopting a balanced exchange rate policy. Continuous monitoring of these policies will help address emerging challenges and improve Ethiopia's competitiveness in the global market.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"685"},"PeriodicalIF":0.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12166354/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A phenomenological analysis of the emotional experiences of graduate preservice student teachers in Indonesia.","authors":"Sunardi Sunardi, Famala Eka Sanhadi Rahayu, Desy Rusmawaty, Istanti Hermagustiana, Dyah Sunggingwati","doi":"10.12688/f1000research.132112.3","DOIUrl":"10.12688/f1000research.132112.3","url":null,"abstract":"<p><strong>Background: </strong>Addressing preservice teachers' emotions can help them develop the emotional connections necessary for successful teaching practicums and professional learning experiences. To understand preservice teachers' emotions towards their surroundings, the researchers used an emotional geography framework to map out the source of their negative and positive emotions and how those feelings affect their beliefs, teaching style, and paradigms. Emotional geographies were divided into two categories (i.e., emotional distance and emotional closeness), which were further mapped into five major themes (i.e., sociocultural, moral, professional, physical, and political). This study aims to investigate the emotional geographies of graduate preservice teachers during their teaching practicums in Indonesia by adapting Hargreaves' (2001) theoretical model, thereby identifying key dimensions and validating the adapted framework.</p><p><strong>Methods: </strong>This study examined emotional geographies of 15 graduate preservice student teachers of Teacher Training and Education Faculty of Mulawarman University during their teaching practicums. Moreover, this study used a qualitative design involving semi-structured interviews with 15 graduate students who completed their teaching practicums.</p><p><strong>Results: </strong>The participants experienced all emotional geographies (sociocultural, moral, professional, physical, and political) that reshaped their beliefs and teaching styles, especially related to teaching undergraduate students. These emotions are generally experienced when the participants deal with the students and cooperating teachers.</p><p><strong>Conclusions: </strong>It was found that teachers needed to be strict when instilling discipline in their students, develop friendships with their students to maintain classroom control, and require comprehensive preparation to create teacher's confidence and answer their students' questions. In effect, the theoretical framework of emotional geography when teaching undergraduates during practicums gave student teachers valuable experience to cope with all common teaching challenges and professional growth.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"12 ","pages":"505"},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12082072/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144093270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnosis of brain death in wistar rats at different levels of death induction.","authors":"Nayara Maria Gil Mazzante, Fernanda Zuliani, Rogerio Antonio de Oliveira, Júlia Soares Bodaneze, Giovanna Farina Panebianco, Natália Freitas de Souza, Fernando Carmona Dinau, Paola Alejandra Montenegro Cuellar, Nadia Yumi Yamamo Dos Santos, Ana Beatriz de Souza da Silva, Fernanda de Freitas Alves Vieira, Natália Camargo Faraldo, Gabriela Abreu Botelho, Fernanda Barthelson Carvalho de Moura, Noeme Sousa Rocha","doi":"10.12688/f1000research.157233.2","DOIUrl":"10.12688/f1000research.157233.2","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate hematologic, biochemical, and gasometric parameters in Wistar rats to better understand brain death parameters and reduce early misdiagnoses.</p><p><strong>Methods: </strong>Fifteen adult male Wistar rats (Rattus norvergicus; HanUnib: WH) were randomly distributed into three groups of five animals: the control group (G0) with evaluation performed before brain death, and two groups (G1 and G2) with brain death induced at different times: immediately after induction (G1) and one hour after induction (G2). Venous and arterial blood samples were taken to perform complete blood count, biochemical, and blood gas assays. Samples were taken at specific times based on the group each rat belonged to.</p><p><strong>Results: </strong>Statistically significant mean values were observed (P<0,05) for segmented cells (G1>G2 and G0>G2), monocytes (G2>G1 and G0>G1), creatinine (G2>G0), aspartate aminotransferase (G1>G0), potassium (G2>G0), and bicarbonate (G0>G1).</p><p><strong>Discussion: </strong>Furthermore, brain death showed a unique response in each organism, complicating its precise determination even more.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1490"},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12082075/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144093272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting gene expression changes upon epigenomic drug treatment.","authors":"Piyush Agrawal, Vishaka Gopalan, Monjura Afrin Rumi, Sridhar Hannenhalli","doi":"10.12688/f1000research.140273.3","DOIUrl":"10.12688/f1000research.140273.3","url":null,"abstract":"<p><strong>Background: </strong>Tumors are characterized by global changes in epigenetic modifications such as DNA methylation and histone modifications that are functionally linked to tumor progression. Accordingly, several drugs targeting the epigenome have been proposed for cancer therapy, notably, histone deacetylase inhibitors (HDACi) such as vorinostat and DNA methyltransferase inhibitors (DNMTi) such as zebularine. However, a fundamental challenge with such approaches is the lack of genomic specificity, <i>i.e.</i>, the transcriptional changes at different genomic loci can be highly variable, thus making it difficult to predict the consequences on the global transcriptome and drug response. For instance, treatment with DNMTi may upregulate the expression of not only a tumor suppressor but also an oncogene, leading to unintended adverse effect.</p><p><strong>Methods: </strong>Given the pre-treatment transcriptome and epigenomic profile of a sample, we assessed the extent of predictability of locus-specific changes in gene expression upon treatment with HDACi using machine learning.</p><p><strong>Results: </strong>We found that in two cell lines (HCT116 treated with Largazole at eight doses and RH4 treated with Entinostat at 1µM) where the appropriate data (pre-treatment transcriptome and epigenome as well as post-treatment transcriptome) is available, our model distinguished the post-treatment up <i>versus</i> downregulated genes with high accuracy (up to ROC of 0.89). Furthermore, a model trained on one cell line is applicable to another cell line suggesting generalizability of the model.</p><p><strong>Conclusions: </strong>Here we present a first assessment of the predictability of genome-wide transcriptomic changes upon treatment with HDACi. Lack of appropriate omics data from clinical trials of epigenetic drugs currently hampers the assessment of applicability of our approach in clinical setting.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"12 ","pages":"1089"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103705/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144142074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding Investor Sentiments in the Indian Stock Market: A Structural Equation Modelling Approach.","authors":"Arvind Nain, N S Borha, Farman Ali, Anu Sayal, Pradeep Suri, Sanjay Singh Chauhan, Vasim Ahmad","doi":"10.12688/f1000research.156635.2","DOIUrl":"10.12688/f1000research.156635.2","url":null,"abstract":"<p><strong>Background of the study: </strong>This research examines how psychological and social biases affect individual investors' investing decisions. Investor sentiment significantly influences financial markets, frequently causing stock prices to deviate from their intrinsic values. In rising economies such as India, where retail investors are significantly affected by psychological factors, comprehending these attitudes is crucial.</p><p><strong>Methods: </strong>This study analyses data from a comprehensive questionnaire that was conducted throughout the nation and included 552 retail investors. The investigation employed structural equation modelling (SEM) to identify the elements that influence the decision-making of individuals who invest in the Indian stock market.</p><p><strong>Findings: </strong>The research offers insight on the influence that investor attitude has on investment decision-making as well as the factors that precede it. The study demonstrates that investors make financial decisions based on sentiment. In addition to assessing the efficacy of the Indian financial market, this study sought to ascertain the rationality of investors' choices by exploring the factors that influence their decision-making process.</p><p><strong>Conclusion: </strong>The outcome of the study shows that information seeking, anchoring, herding, representativeness, and overconfidence all have a big impact on investors. Moreover, the study has proven investors' irrationality and stock market inefficiency. The findings may be employed to further examine the trading practices of international investors and encourage further study in the field of behavioural finance.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1378"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12107233/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144157623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research.","authors":"Arvind Nain, N S Bohra, Archana Singh, Rekha Verma, Rakesh Kumar, Rajesh Kumar","doi":"10.12688/f1000research.160297.2","DOIUrl":"10.12688/f1000research.160297.2","url":null,"abstract":"<p><strong>Background: </strong>This study intends to investigate the relationship between artificial intelligence and teachers' collaboration in educational research in response to the growing use of technologies and the current status of the field.</p><p><strong>Methods: </strong>A total of 62 publications were looked at through a systematic review that included data mining, analytics, and bibliometric methods.</p><p><strong>Result: </strong>The study shows a steady increase in the field of artificial intelligence and teacher collaboration in educational research, especially in the last few years with the involvement of the USA, China, and India. Education and information technology are the main contributors to this field of study, followed by an international review of open and distance learning research. The Scopus database was chosen for this study because of its extensive coverage of high-quality, peer-reviewed literature and robust indexing system, making it a dependable source for conducting bibliometric analyses. Scopus offers substantial information, citations tracking, and multidisciplinary coverage, which are critical for spotting publication trends, significant articles, major themes, and keywords in the area. The findings show that education and information technology make the most significant contributions to this sector, followed by international studies on open and distance learning.</p><p><strong>Conclusions: </strong>Over a three-year period, the average citation value is 12.44%. The education system, learning, e-learning, sustainability, COVID-19 issues, team challenges, organizational conflicts, and digital transformation are just a few of the topics it significantly contributes to. The study acknowledges its limitations and considers potential avenues for additional research. The results also emphasize important gaps in the literature, highlighting the necessity for more research. This information can help develop strategic approaches to address issues and take advantage of opportunities relating to artificial intelligence and teacher collaboration in higher education and research. The study's ultimate goal is to offer guidance for tactics that promote teachers' cooperation in educational research and the development of artificial intelligence.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"201"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12082066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144093276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}