Experimental Study on Ignition and Pressure-Gain Achievement in Low-Vacuum Conditions for a Pulsed Detonation Combustor by Andrei Vlad Cojocea, Mihnea Gall, George Ionuț Vrabie, Tudor Cuciuc, Ionuț Porumbel, Gabriel Ursescu, Daniel Eugeniu Crunţeanu

“…Additionally, the Schlieren visualization technique is employed to analyze and interpret the flow structures of the exhaust jet. …”
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AlignFusionNet: Efficient Cross-Modal Alignment and Fusion for 3D Semantic Occupancy Prediction by Ziyi Xu, Legan Qi, Hongzhou Du, Jiaqi Yang, Zhenglin Chen

“…Compared to the previous state-of-the-art method, OccGen, mIoU is improved by 5.9%. Further qualitative visualization analysis shows that the proposed method achieves higher representation accuracy for small objects.…”
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Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…Therefore, developing precise intubation prediction models is vital for elderly ICU patients. Methods This study retrospectively analyzed data from ICU patients aged over 65 years in the MIMIC-IV and eICU databases. …”
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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

“…It features a user-friendly interface, a wide range of algorithms, robust pre-processing and visualization tools, and cross-platform compatibility.Focusing on efficiency and reducing variation within clusters, the results revealed that within Euclidean distance, all algorithms formed two clusters. …”
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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering by Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu

“…Utilizing a layered collaborative framework, the system combines optimization algorithms and anomaly detection methods during data processing to enhance the relevance and reliability of high-dimensional data. …”
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Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

“…Observation data were processed by standard statistical methods and used to construct stochastic computer models of flowering shoots, while omissions in data were restored by using the maximum likelihood method. …”
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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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Coblation-assisted endoscopic management of post-radiation choanal stenosis in cases of nasopharyngeal carcinoma by Anushka Agarwal, Hetal Marfatia, Anoushka Sahai, Rekha Choudhary, Prateek Mohapatra, Anushka Jain

“…Abstract Background This study was undertaken to evaluate the effectiveness of coblation in stenosis release for rehabilitation of patients post-radiotherapy, as literature on the topic is sparse. Materials and methods Nine patients who underwent intensity-modulated radiotherapy for stage III–IV nasopharyngeal carcinoma and developed choanal stenosis were included. …”
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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

“…The study utilized network visualization techniques to assess co-authorship, citation patterns, and keyword co-occurrence, focusing on the most influential countries, institutions, and research collaborations.Results Results reveal China leads in publication volume, yet countries like the United States and Australia show higher international collaboration rates and citation impact. …”
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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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Real-time image fusion and Apple Vision Pro in laparoscopic microwave ablation of hepatic hemangiomas by Tao Lan, Sichun Liu, Yihe Dai, Jia Luo, Jiang Han, Yun Jin

“…Comparative experiments showed a significant improvement in puncture accuracy under AVP guidance (success rate of 90%) compared to traditional methods (42.5%), benefiting both novice and experienced surgeons. …”
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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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Iterative Design of a Decision Support System for Fall Risk Detection in residential care facilities by Tschorn Niklas, Keuchel Maren, Müller Inga, Milkov Sarah, Potthoff Christian, Windrath Dioselina, Weber Yvonne, Meister Sven, Burmann Anja

“…Nurses are very often under time pressure and have to make decisions under psychological, emotional and physical stresses. Machine learning methods and in particular, Decision Support Systems (DSS) can be used to support nurses with improved information (e.g. visualization of individual health risks) for decisions that are not easy to make. …”
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