A Novel Four-Gene Prognostic Signature as a Risk Biomarker in Cervical Cancer by Jun Wang, Hua Zheng, Yatian Han, Geng Wang, Yanbin Li

“…The aim of this study was to identify novel prognostic biomarkers for CC. Methods. RNA-Seq data from four Gene Expression Omnibus datasets (GSE5787, GSE6791, GSE26511, and GSE63514) were used to identify differentially expressed genes (DEGs) between CC and normal cervical tissues. …”
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Trends in sleep dentistry research in Asia: A bibliometric analysis [version 1; peer review: 2 approved] by An’nisaa Chusida, Lia Taurussia Yuliana, Mokh Sujarwadi, Faizul Hasan, Ervina Restiwulan Winoto, Hendrik Setia Budi

“…VOSviewer and the Bibliometrix package in R were utilized for data visualization and network mapping. Results The analysis included 1,237 publications. …”
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AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

“…AutoTarget uses node2vec + for node classification, incorporating neighborhood context and structural equivalence in PPI networks derived from the STRING database. Data from the Therapeutic Target Database (TTD) and DisGeNET were integrated to identify known drug targets and gene-disease associations, respectively. …”
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DermViT: Diagnosis-Guided Vision Transformer for Robust and Efficient Skin Lesion Classification by Xuejun Zhang, Yehui Liu, Ganxin Ouyang, Wenkang Chen, Aobo Xu, Takeshi Hara, Xiangrong Zhou, Dongbo Wu

“…DermViT consists of three main modules: (1) Dermoscopic Context Pyramid (DCP), which mimics the multi-scale observation process of pathological diagnosis to adapt to the high intraclass variability of lesions such as melanoma, then extract stable and consistent data at different scales; (2) Dermoscopic Hierarchical Attention (DHA), which can reduce computational complexity while realizing intelligent focusing on lesion areas through a coarse screening–fine inspection mechanism; (3). …”
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Revealing the impact of teaching methods on anxiety among college students through a bibliometric study by Zhongzhu Ai, Dongfeng Yuan, Ruotong Dong, Yun Li, Shanshan Zhou

“…Major publication sources, countries, institutions, and authors in this field were identified through the number of publications, citation frequency, and H-index indicators. Data-driven analysis was conducted to explore collaboration patterns, knowledge structures, research hotspots, and trends using VOSviewer software.ResultsAfter screening, this study included 192 publications from January 2004 to November 2024, revealing several significant findings: (1) The number of publications has gradually increased, peaking in 2022 and maintaining a high level in the following years. (2) The most productive and influential journals are Nurse Education Today and CBE Life Sciences Education, with the USA and the Indiana University System contributing the most. (3) Collaboration network analysis indicates the presence of multiple research groups in the field, but their connections among countries and authors remain relatively limited. (4) Co-citation analysis of journals shows that the field is interdisciplinary, primarily merging psychology, education, and information technology. (5) Keyword analysis identifies two major research hotspots: factors influencing student anxiety in teaching environments (e.g., self-efficacy, loneliness, and performance) and the moderating effects of teaching method reforms (e.g., blended learning, collaborative learning, and experiential learning) on college student anxiety.ConclusionThis visualization analysis provides an overview of the directions and advancements in research on the impact of teaching method reforms on college students' anxiety. …”
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A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard by Gabriela Schmajuk, Catherine Nasrallah, Beth Berrean, Jonathan Prugh, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Julia Kay, Jing Li, Emma Kersey, Meera Subash, Sara Murray, Jinoos Yazdany

“…Implementation science strategies were used to improve use of the dashboard in clinic and included education for patients, staff, and clinicians; reports of actual use of the dashboard and data quality; and regular meetings between the research team and clinicians to discuss and address barriers to use. …”
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FIRST RUSSIAN EXPERIENCE OF USING CONTRAST-ENHANCED INTRAOPERATIVE ULTRASONOGRAPHY (CE-IOUS) IN THE TREATMENT OF LIVER LESIONS by D. V. Sidorov, S. O. Stepanov, M. V. Lozhkin, L. O. Petrov, L. A. Mitina, O. V. Guts, A. G. Isaeva

“…For today it is difficult to imagine medical practice without modern visualization methods of instrumental diagnostics. At the same time, according to the estimates of the World Health Organization, two-thirds of the world population is deprived of such opportunities. …”
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Ultrasound and X-ray-cholangiography diagnostic of Mirizzi syndrome by O. I. Okhotnikov, M. V. Yakovleva

“…As a method for direct visualization of the bile ducts was used antegrade cholangiography. …”
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Global research progress and trends in traditional Chinese medicine for chronic kidney disease since the 21st century: a bibliometric analysis by Heyong Wang, Heyong Wang, Jun Wang, Yang Chen, Dianxing Yang, Lanyue Xiong

“…ObjectiveThis study analyzed literature on traditional Chinese medicine (TCM) in treating chronic kidney disease (CKD) to identify research trends and provide guidance for future studies and clinical practice.MethodsThe study used data from Web of Science from 2000 to 2024 to analyze English-language literature on CKD and TCM. …”
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Mapping the current trends and hotspots of extracellular vesicles in Alzheimer's disease: a bibliometric analysis by Xiaolian Xing, Xiaolian Xing, Hongwei Liu, Minheng Zhang, Yang Li

“…Through bibliometric techniques, this analysis assesses research performance by examining scientific publications and metrics, including productivity indicators, impact measurements, data mining, and visualization tools.ResultsA total of 602 publications were analyzed using various online platforms for bibliometric analysis. …”
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Electrophysiology in neuropathic pain: a bibliometric analysis and literature review by Yidan Cui, Chen Lv, Wenjian Yan, Lidan Zhang, Ning Sun, Xin Zhang, Zhen Zhong

“…Future research should focus on technology standardization, cross-institutional data sharing, clinical translation, and connectomics-oriented individualized analgesic strategies to promote NP diagnosis and treatment toward precision, dynamics, and systematization.…”
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Comparison of NeRF- and SfM-Based Methods for Point Cloud Reconstruction for Small-Sized Archaeological Artifacts by Miguel Ángel Maté-González, Roy Yali, Jesús Rodríguez-Hernández, Enrique González-González, Julián Aguirre de Mata

“…Nonetheless, NeRF demonstrates strong potential for rapid, high-quality 3D documentation suitable for visualization and dissemination purposes in cultural heritage. …”
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Stationary thermal-gas-dynamics of flows in the cylinder and exhaust system of a piston engine by L. V. Plotnikov, V. A. Shurupov, V. A. Slednev, D. A. Davydov, D. N. Krasilnikov

“…The article describes the mathematical model, the studied geometry of the exhaust system and the analysis of the obtained data. The velocity field, isolines of equal velocities, and tangential velocity vectors were chosen as the gas-dynamic characteristics of the flow. …”
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The role of multispiral computed tomography in detecting and the assessment of the degree of damage of esophago-gastric junction cancer by V. N. Diomidova, A. N. Dmitrieva

“…The findings of MSCT have been compared with anatomical data, which were got after histomorphologic study of post-operation and endoscopic recruitment material.Results. …”
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Comprehensive analysis of cellular metrics: From proliferation to mitochondrial membrane potential and cell death in a single sample by Sirina Sabirova, Gulnaz Sharapova, Aida Budyukova, Marina Gomzikova, Anna Brichkina, Nick A. Barlev, Albert Rizvanov, Nikita Markov, Hans-Uwe Simon

“…Additionally, it includes examples of the data that can be obtained with this technique and illustrates its multiparametric visualization. …”
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Comparison of Machine Learning and Deep Learning Models Performance in predicting wind energy by Saswati Rakshit, Anal Ranjan Sengupta

“…Their RMSEs (0.88, 1.40, 1.23) and MAEs (0.093, 0.73, 0.10) also indicate strong predictive accuracy compared to the rest.In this paper, time series forecasting, TCNs, LSTM and GRU networks showed strong capabilities in capturing temporal dependencies and trends within the wind energy data. Visualization techniques were employed to compare model performances comprehensively, providing clear insights into their predictive power. …”
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Potassium Inwardly Rectifying Channel Subfamily J Member 11 (KCNJ11) RS5219 Gene Polymorphism as a Risk Factor for Type 2 Diabetes Mellitus in Indonesia: A Case Control Study by Annisa Septiani Putri Putri, Tiar Masykuroh Pratamawati, Donny Nauphar

“…Methods: This case control study involved 29 cases of type 2 diabetes mellitus and 29 healthy controls with purposive sampling technique. Sample data was obtained through the examination of blood sugar, DNA extraction, PCR-RFLP with Eco24I restriction enzyme, then visualization of the results with Gel Electrophoresis. …”
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ShinyGS—a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations by Le Yu, Le Yu, Yifei Dai, Mingjia Zhu, Linjie Guo, Yan Ji, Huan Si, Lirui Cheng, Tao Zhao, Yanjun Zan

“…This toolkit incorporates 16 methods, including linear models from maximum likelihood and Bayesian framework (BA, BB, BC, BL, and BRR), machine learning models, and a data visualization function. In addition, we benchmarked the performance of all 16 models using multiple populations and traits with varying populations and genetic architecture. …”
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Preclinical Evaluation of ⁶⁸Ga-labeled RGD Peptide for Detection of Malignant Angiogenesis by O. E. Klementyeva, A. B. Bruskin, A. S. Lunev, M. G. Rakhimov, K. A. Luneva, G E. Codina

“…The results of in vivo PET imaging of experimental tumor lesions correlate well with ex vivo radiometry data. Conclusion. The «Vascular, 68Ga» actively accumulated in well-vascularized tumor foci after intravenous injection and rapidly excreted from the body through the kidneys without noticeable non-specific accumulation in other organs and tissues. …”
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Sleep and Sugar: Deciphering the 2003–2023 Research Landscape on Sleep Disorders and Diabetes Mellitus via Bibliometric Study by Jiang Z, Tan J, Zhou Z, Zheng H, Li Y, Wang H, Yang Q, Tian H, Chen H, Xie J, Li Z, Chen Y

“…Tools like CiteSpace and VOSviewer were employed for data visualization, highlighting the contributions of authors, institutions, countries, and journals.Results: We identified 816 publications, with a notable increase in research output over time. …”
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