3D morphometric analysis of the epiglottis using CBCT: age and gender differences by Ceren Özeren Keşkek, Emre Aytuğar

“…Conclusions This study visualizes epiglottis morphology and uncovers significant morphometric differences. …”
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Assessing Uterine Rupture: A Bibliometric Analysis of a Critical Emergency for Women’s Health by Engin Yıldırım, Habibe Selmin Özensoy

“…Keywords “uterine rupture” and “uterus rupture” were utilized. Data visualization was facilitated using Datawrapper, while VosViewer 2019 was used to analyze coauthorship and citation networks. …”
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Characterization of feline mandibular angle fractures utilizing in silico model construction and fracture mapping by Tsung-Han Tu, Scott J. Hetzel, Jason W. Soukup

“…The secondary aim was to create fracture maps to qualitatively characterize fracture patterns.MethodsNineteen cats with 22 mandibular angle fractures were included in this retrospective study. …”
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Intermittent Courses of Corticosteroids Also Present a Risk for Pneumocystis Pneumonia in Non-HIV Patients by Maria L. Calero-Bernal, Isabel Martin-Garrido, Mikel Donazar-Ezcurra, Andrew H. Limper, Eva M. Carmona

“…PCP diagnosis required symptoms of pneumonia and identification of the organisms by visualization or by a real-time polymerase chain reaction. …”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

“…The study examined the effects of clustering algorithms and distance metrics on climate data analysis from meteorological stations in the Kurdistan Region of Iraq (2020–2022). 8-attribute dataset with 1,095 cases was clustered using Random, K-means++, Canopy, and Farthest First methods, evaluated with Euclidean and Manhattan distance metrics via the WEKA tools, which is a versatile and accessible open-source tool for machine learning and data mining. …”
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Ovarian sensitivity index-based nomogram for predicting clinical pregnancy outcomes in patients with diminished ovarian reserve undergoing in vitro fertilization or intracytoplasmi... by Feng-Xia Liu, Ka-Li Huang, Shan-Jia Yi, Hui Huang, Ming-Hua Shi, Xue-Fei Liang

“…Therefore, this study aimed to leverage existing predictive models for pregnancy outcomes while integrating innovative strategies to develop and validate a visualization-based predictive model specifically designed for patients with DOR undergoing IVF/ICSI treatment.MethodsThis retrospective study analyzed data from 448 patients with DOR who underwent IVF/ICSI at Guangxi Zhuang Autonomous Region Reproductive Hospital from January 2019 to August 2023. …”
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The effect of postoperative weight loss on difficult intubation in bariatric surgery patients: a prospective observational study by Bahar Uslu Bayhan, Kazım Ersin Altınsoy

“…Abstract Objective Anatomical changes related to obesity—such as increased neck circumference, limited neck mobility, and excess soft tissue—may obstruct glottic visualization and increase the risk of difficult intubation. …”
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Application of educational data mining in subject learning at university by Irina A. Kotiurova

“…All information about mistakes is collected in a shared database, the visualization of which is accessible in the teacher's personal account. …”
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Digital Empowerment: The Sustainable Development of Chengdu Lacquerware’s Colors and Decorations by Jianhua Lyu, Qin Xu, Chuxiao Hu, Ming Chen

“…The resource library facilitated three practical applications: modular recombination of high-frequency motifs, cross-media design adaptations, and interactive visualization of craftsmanship processes. Technical analysis confirmed that adaptive binarization effectively mitigated image noise compared to conventional methods, while secondary clustering enhanced color scheme representativeness. …”
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PREDICTION OF CONCRETE STRENGTH WITH MODIFIED PLASTIC WASTE AGGREGATE AS PARTIAL REPLACEMENT FOR COARSE AGGREGATE by Muhammad FU, Agboola SA

“…Pre-processing, statistical methods and data visualization techniques were employed for data understanding. …”
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Segmentation of glioblastomas via 3D FusionNet by Xiangyu Guo, Botao Zhang, Yue Peng, Feng Chen, Wenbin Li

“…IntroductionThis study presented an end-to-end 3D deep learning model for the automatic segmentation of brain tumors.MethodsThe MRI data used in this study were obtained from a cohort of 630 GBM patients from the University of Pennsylvania Health System (UPENN-GBM). …”
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Advancements in biomarker techniques for precision and safety in facial nerve identification during head and neck surgeries: a comprehensive review by Cesar Raizer, Milanie Milan, Reina Ibrahim, Joseph El Bachour, Abdelrazzak Kerhani, Gregory Nicolas

“…It summarized the literature on biomarker techniques for intraoperative visualization of the facial nerve, focusing on applications, findings, and clinical implications. …”
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Global research trends and collaborations in acute kidney injury (AKI) and sepsis: a bibliometric analysis (2004–2024) by Yuru Yang, Shuang Zhao, Shuai Liu

“…Bibliometric analysis offers a quantitative approach to assessing the evolution of scientific knowledge, collaborative networks, and emerging research areas over time.Objective This study aims to map the global landscape of research on AKI and sepsis over the last two decades (2004–2024), identify major contributors, collaboration networks, key research trends, and highlight gaps in the literature.Methods We conducted a bibliometric analysis of research articles from leading databases. …”
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An efficient parallelization technique for the coupled problems of fluid, gas and plasma mechanics in the grid environment by Andrii Zinchenko, Unai Fernandez-Gamiz, Dmytro Redchyts, Olga Gorna, Tetiana Bilousova

“…Abstract The development of efficient parallelization strategies for numerical simulation methods of fluid, gas and plasma mechanics remains one of the key technology challenges in modern scientific computing. …”
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Global research trends on the association between gastric cancer and chronic atrophic gastritis: a bibliometric analysis by Qingyue Miao, Bingyang Qin, Songlan Piao, Changchun Ma

“…Bibliometric and visualization analyses were performed using VOSviewer and CiteSpace software. …”
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Land Target Detection Algorithm in Remote Sensing Images Based on Deep Learning by Wenyi Hu, Xiaomeng Jiang, Jiawei Tian, Shitong Ye, Shan Liu

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A parcel-level evaluation of distributed wind opportunity in the contiguous United States by J. Lockshin, P. Pérez, S. Podgorny, M. Sizemore, P. Das, J. D. Laurence-Chasen, P. Crook, C. Phillips

“…The novel modeling approach described here utilizes a high-resolution dataset and analyzes over 150 million parcels, a significant improvement from prior methods that extrapolated results from a smaller random sample. …”
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Investigating the use of cuprizone and lysolecithin to model demyelination ex vivo in sagittal rat brain organotypic slice cultures by Brooke Hawker, Bronwen Connor, Amy McCaughey-Chapman

“…To extend our sagittal organotypic brain slice culture model, this study compares the ability for two common demyelinating agents, cuprizone (CPZ) or lysolecithin (LPC), to induce demyelination of the corpus callosum.MethodsRat brain sagittal organotypic slice cultures were generated with clear visualization of the corpus callosum and treated either with CPZ (1 mM) or LPC (0.5 mg/mL).ResultsWe demonstrate that CPZ treatment induces acute demyelination followed by endogenous remyelination 1-week post-treatment. …”
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An Observational Study on Functional Outcome of Tympanoplasty in Canal Wall Down Mastoidectomy in Patients with Chronic Otitis Media by Diptanshu Mukherjee, Maumita De, Prodymna Kundu, Dipankar Biswas, Divya Daga, Saumendra Nath Bandyopadhyay

“…Materials and Methods It is an Institutional based descriptive study undertaken in a tertiary care hospital among patients with squamous variety of Otitis Media belonging to the age group 12- 65years, planned to undergo single stage reconstruction after Canal Wall Down Mastoidectomy. …”
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CENSor: Detecting Illicit Bitcoin Operation via GCN-Based Hyperedge Classification by Suyeol Lee, Jaehan Kim, Minjae Seo, Seung Ho Na, Seungwon Shin, Jinwoo Kim

“…Despite the critical need for advanced Bitcoin financial forensics to investigate these criminal activities, no novel methods have been developed to detect illicit Bitcoin operations. …”
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