Überlieferungsgeschichte als Graph. Zur Identifizierung und Darstellung von Überlieferungsnetzen handschriftlich tradierter... by Marco Heiles

“…This allows a reduction of the entities and a clear visualization of the recipe transmission network as a graph.…”
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ProToDeviseR: an automated protein topology scheme generator by Petar Petrov, Valerio Izzi

“…Although numerous databases and prediction servers exist, it is challenging to incorporate data from various, and sometimes contending, resources into a publication-ready scheme. …”
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To Map, To Ascertain by Rombert Stapel

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Students' digital media literacy abilities in Islamic religious education lessons reviewed from learning style by Annisa’ Fitriyah Anwari, Moh. Sahlan, Indah Wahyuni

“…The data collection technique uses questionnaires (multiple choice digital media literacy questionnaire and learning style questionnaire to determine the types of students' learning styles including visual, auditory, kinesthetic, and mixed) and analysis using the help of SPSS version 25.  …”
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Prevalence and associated factors of vision impairment in Kandahar by Mohammad Essa Amirzada, Zarghoon Tareen, Qudratullah Ahmady, Najibullah Rafiqi

“…Methods: The data for this population-based cross-sectional study were collected from 2022 to 2023. …”
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Architectural Synergies in Bi-Modal and Bi-Contrastive Learning by Yujia Gu, Brian Liu, Tianlong Zhang, Xinye Sha, Shiyong Chen

“…The integration of visual and linguistic elements within artificial intelligence research is increasingly emphasized, spurred by advancements in pre-trained model technologies. …”
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The application of electroencephalogram in depression research: bibliometric and technological application analysis from 2005 to 2025 by Yican Hao, Yican Hao, Yanli Han, Jian Huang, Cangcang Hao, Bo Yu, Bo Yu, Shenting Wei, Shenting Wei, Kuiyan Zhou, Kuiyan Zhou

“…This study aims to investigate the current trends, emerging topics, and potential advancements in EEG research related to depression while also predicting the challenges that may arise within this field.MethodsWe retrieved the literature related to depression and EEG published from April 16, 2005 to April 16, 2025 in Web of Science (WoSCC) and PubMed, and conducted data analysis and visual display using CiteSpace, VOS viewer, Bibliometrix, Scimago Graphica, Microsoft Excel 2021, and R software version 4.2.3.ResultsFrom 2005 to 2025, 215 journals from 189 countries published papers in this field. …”
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Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19 by Nurun Nuha, Sakinah Ali Pitchay, Azni Haslizan Ab Halim, Murtadha Arif Bin Sahbudin, Ilfita Sahbudin

“…The COVID-19 pandemic exposed critical limitations in traditional disease tracking systems, such as the lack of integrated data visualization, co-monitoring, and real-time analytics, leading to delayed and often ineffective public health responses. …”
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Sympatric occurrence of Ixodes ricinus, Haemaphysalis concinna and Haemaphysalis inermis in a wild fauna reserve by Héloïse Duchêne, Albert Agoulon, Nathalie de la Cotte, Claire Bonsergent, Maggy Jouglin, Barbara Blanc, Alice Brunet, Katia Ortiz, Suzanne Bastian, Laurence Malandrin

“…The potential for pathogen transmission by these three generalist species and especially Haemaphysalis species (paucity of data) warrants further investigation.…”
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Bibliometric analysis of liposarcomas treatment from 2004 to 2023 by Xiaopeng Wang, Jingjing Ye, Daoning Liu, Liang Yan, Shuquan Li, Ang Lv, Chengpeng Li, Jianhui Wu, Hui Qiu, Chunyi Hao

“…By utilizing bibliometric methods, the data were processed to facilitate visual analysis of various aspects, including authors, countries, institutions, cocitations, keywords, references, and gene characteristics. …”
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Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms by Nian-Ze Hu, Bo-An Lin, Yen-Yu Wu, Hao-Lun Huang, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…MariaDB was chosen for data storage. Grafana was used to design a user-friendly web interface for real-time data monitoring and visualization and immediate data analysis and system monitoring. …”
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Bibliometric Analysis of Hydrogen-Powered Vehicle Safety and Reliability Research: Trends, Impact, and Future Directions by Rajkumar Bhimgonda Patil, Anindita Roy, Sameer Al-Dahidi, Sandip Mane, Dhaval Birajdar, Rohitkumar Chaurasia, Shashikant Auti

“…Data analytics, VOSviewer-based visualization, and research impact indicators were integrated to comprehensively assess publication trends, key contributors, and citation networks. …”
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PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data by Phillip Chlap, Daniel Al Mouiee, Robert N Finnegan, Janet Cui, Vicky Chin, Shrikant Deshpande, Lois Holloway

“…This includes the conversion of DICOM objects into a standardised form as well as functionality to visualise, clean and analyse the converted data. The generalisability of PyDicer has been demonstrated by its use across a range of projects including the analysis of radiotherapy dose metrics and radiomics features as well as auto-segmentation training, inference and validation.…”
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Exploring the divergence in research focus and trends between domestic and International traditional handicraft studies by Haoran Liu, Hassan Alli, Irwan Syah Md Yusoff

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Epidemiological and demographic analysis of liver cancer attributable to modifiable risk factors from 1990 to 2021 by Yingwu Zhao, Xue Peng, Zilan Zhong, Wenhao Pan, Jiyuan Zheng, Xiaona Tian, Xinfeng Han

“…This study assessed global trends in liver cancer mortality attributable to these factors from 1990 to 2021, using data from the 2021 Global Burden of Disease Study. …”
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ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns by Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan

“…Abstract Since its initial release in 2022, ggClusterNet has become a vital tool for microbiome research, enabling microbial co‐occurrence network analysis and visualization in over 300 studies. To address emerging challenges, including multi‐factor experimental designs, multi‐treatment conditions, and multi‐omics data, we present a comprehensive upgrade with four key components: (1) A microbial co‐occurrence network pipeline integrating network computation (Pearson/Spearman/SparCC correlations), visualization, topological characterization of network and node properties, multi‐network comparison with statistical testing, network stability (robustness) analysis, and module identification and analysis; (2) Network mining functions for multi‐factor, multi‐treatment, and spatiotemporal‐scale analysis, including Facet.Network() and module.compare.m.ts(); (3) Transkingdom network construction using microbiota, multi‐omics, and other relevant data, with diverse visualization layouts such as MatCorPlot2() and cor_link3(); and (4) Transkingdom and multi‐omics network analysis, including corBionetwork.st() and visualization algorithms tailored for complex network exploration, including model_maptree2(), model_Gephi.3(), and cir.squ(). …”
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Assessment of levels of navigation systems of medical organizations from the position of lean production by A. A. Kurmangulov, Yu. S. Reshetnikova, N. S. Brynza

“…To evaluate the level of detail, the amount of visualized data and the levels of navigation systems of primary medical organizations.Materials and methods. …”
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A unified ontological and explainable framework for decoding AI risks from news data by Chuan Chen, Peng Luo, Huilin Zhao, Mengyi Wei, Puzhen Zhang, Zihan Liu, Liqiu Meng

“…Based on this model, we construct an enriched AI risk event database by systematically extracting and structuring raw news data. We then apply a suite of visual analytics methods to extract and summarize key characteristics of AI risk events. …”
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Clinical and demographic data and the significance of various dysfunctions and severity indicators in multiple sclerosis patients by Gennadii M. Chupryna, Natalia V. Khanenko

“…In patients with multiple sclerosis, according to the data of the FS-3 FS scale (oculomotor disorders), the average indicators were as follows: group I - 1.4 ± 0.3; group II - 1.6 ± 0.3, and according to the FS-6 FS scale (visual disorders), the average indicators were as follows: group I - 0.8 ± 0.2, group II - 1.4 ± 0.3. …”
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A Computing Model of Selective Attention for Service Robot Based on Spatial Data Fusion by Huanzhao Chen, Guohui Tian

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