Bibliometric Analysis of microRNA: A Comprehensive Evaluation of Its Contribution to Acute Coronary Syndromes by Gao Y, Li T, Mu X, Ren X, Wang J, Fan J, Zhu H, Wang X

“…By analyzing global publications, we aim to highlight hotspots and translational directions for advancing miRNA applications in ACS diagnosis and therapy.Materials and Methods: Articles on miRNA and ACS published between 2007 and 2023 were retrieved from the Web of Science Core Collection. …”
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Exploring chaos and sensitivity in the Ivancevic option pricing model through perturbation analysis. by Adil Jhangeer, Ali R Ansari, Ariana Abdul Rahimzai, Beenish, Abdul Qadeer Khan

“…Additionally, we analyze the system's dynamic behavior when a perturbing force is introduced, identifying chaotic patterns using the Lyapunov exponent, Sensitivity, multistability analysis, RK4 method, wave structures, bifurcation diagrams, and Poincaré maps.…”
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Hijrah, an ideological representation of Tjokroaminoto’s struggle in the biopic Guru Bangsa: Tjokroaminoto by Joesana Tjahjani, Bambang Wibawarta

“…Tjokroaminoto is a figure of Sarekat Islam (Islamic Union), a mass organization that had millions of followers at a time when Indonesia was still under Dutch colonialism. The method used is a qualitative method with a structural approach. …”
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Mutually Orthogonal Golay Complementary Sequences in Synthetic Aperture Imaging Systems by Ihor TROTS

“…It can also improve the signal-to-noise ratio and increase the visualization depth maintaining the ultrasound image resolution. …”
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Qualitative Study of the Implementation of LCD Projector Media on Learning Motivation of Grade IV Elementary Students by Putri Imanuela, Deni Setiawan

“…The results showed that the use of LCD projectors increased students' learning motivation, focus, and active participation in the learning process. Visualization of material through images and videos makes it easier for students to understand the concepts taught compared to the conventional lecture method. …”
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Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques by Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores

“…This study demonstrates the effectiveness of combining Machine Learning (ML) techniques with dimensionality reduction methods to enhance risk stratification accuracy in cardiology. …”
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Comparison of muscle magnetic resonance imaging data with clinical and laboratory parameters in follow-up of patients with idiopathic inflammatory myopathy by A. A. Kolomeyichuk, L. P. Ananyeva, A. N. Helkovskaya-Sergeeva, A. D. Koltakova, L. V. Ptichkina, D. O. Kazakov

“…In parallel, objective methods of visualization are used, in particular magnetic resonance imaging (MRI) of the muscles. …”
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Predicting the efficacy of chemoradiotherapy in advanced nasopharyngeal carcinoma patients: an MRI radiomics and machine learning approach by Liucheng Chen, Zhiyuan Wang, Ji Zhang, Ying Meng, Xuelian Wang, Cancan Zhao, Longshan Shen

“…The model performance of the training set was verified by using the 5-fold cross-validation method, and the effect evaluation and performance visualization were performed on the test set. …”
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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation by Tristan Whitmarsh, Wei Cope, Julia Carmona-Bozo, Roido Manavaki, Stephen-John Sammut, Ramona Woitek, Elena Provenzano, Emma L. Brown, Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz

“…Methods We propose a method for automatically measuring a range of vascular parameters from CD-31 IHC images, which together provide a detailed description of the vasculature morphology. …”
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Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

“…Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathways in the brain. …”
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Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis by Mahreen Kiran, Ying Xie, Nasreen Anjum, Graham Ball, Barbara Pierscionek, Duncan Russell

“…It highlights the growing complexity of the field and identifies key trends, methodologies, and research gaps.MethodsA systematic methodology guided the literature selection process, starting with keyword identification using Term Frequency-Inverse Document Frequency (TF-IDF) and expert input. …”
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Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning by Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii

“…Traditional characterization methods often struggle to capture the complex, heterogeneous micro-scale features of rock structures. …”
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Development of positive behavior and mental toughness skills in young athletes by Eimantas Pocius

“…The aim of this dissertation is to reveal the characteristics of young athletes’ positive behavior and mental toughness skill development. Methods: The dissertation employed a mixed methods convergent design (one-phase design) research strategy (Creswell & Creswell, 2023). …”
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Unveiling the perceptions of medical and allied health students towards cadaveric dissection and virtual resources in anatomy education: a cross sectional study by Rana Elbeshbeishy, Rasha Salama, BK Manjunatha Goud, Rasha Babiker, Malay Jhancy, Nour Hamed, Farah Oraby, Tarig Merghani

“…While both groups acknowledged the benefits of digital resources, medical students reported greater improvements in visualization, confidence, and interactive learning (p < 0.01). …”
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Clinical and economic constituents of the application of dexamethasone and tocilizumab in the therapy for severe conditions in patients with COVID-19 by O. V. Zhukova, A. L. Khokhlov

“…For the visualization of the clinical efficiency of the compared drugs, the authors applied beta-distribution. …”
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AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Recent artificial intelligence (AI) segmentation methods employing deep neural networks (DNNs) and transformers encounter computational efficiency challenges to balance the preservation of feature dependencies information with model efficiency, limiting their clinical applicability.MethodsThe anatomical structure recognition framework, MaskHybrid, was developed using a private dataset comprising 34,711 abdominal ultrasound images of 2,063 patients from CSMUH. …”
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Analysis of cognitive status of Alzheimer’s disease’s subjects and its association with biomarkers (amyloid beta and tau proteins) using NACC data by Vaghawan Prasad Ojha, Sheida Riahi, Richard Hunt Bobo, Seyedadel Moravveji, Lucien Meteumba, Shantia Yarahmadian

“…We utilized statistical techniques (ANOVA, Seive Plot, Logistic Regression) and visualization methods (Boxplot, Barplot, Violin Plot) to understand the relationships. …”
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Applying Augmented Reality to Convey Medical Knowledge on Osteoclasts to Users of a Serious Game: Vignette Experiment by Jascha Grübel, Julia Chatain, Claudio Schmid, Violaine Fayolle, Fabio Zünd, Reinhard Gruber, Bernd Stadlinger

“…While we could not confirm AR’s impact on visual tasks overall (H2b), we noted an interesting interaction between curiosity and visual task outcomes (H2c), as well as how game design influences student perception of the material (H2d). …”
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Economic Logistics Optimization in Fire and Rescue Services: A Case Study of the Slovak Fire and Rescue Service by Martina Mandlikova, Andrea Majlingova

“…<i>Objective</i>: The objective of this paper was to evaluate the structure, performance, and reform potential of the logistics system supporting HaZZ, with a focus on procurement efficiency, lifecycle costing, digital integration, and alignment with EU civil protection standards. <i>Methods</i>: A mixed-methods design was applied, comprising the following: (1) Institutional analysis of governance, budgeting, and legal mandates based on semi-structured expert interviews with HaZZ and the Ministry of Interior officers (<i>n</i> = 12); (2) comparative benchmarking with Germany, Austria, the Czech Republic, and the Netherlands; (3) financial analysis of national logistics expenditures (2019–2023) using Total Cost of Ownership (TCO) principles, completed with the visualization of cost trends and procurement price variance through original heat maps and time-series graphs. …”
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Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study by Xuan Zhou, Gangren Jian, Yuefang He, Yating Huang, Jie Zhang, Shengfang Wang, Yunxian Wang, Ruofei Zheng

“…Subsequently, we developed an online visualization tool based on the model to assess the risk of high risk in patients with chest pain. …”
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