Deep-learning-based point cloud completion methods: A review by Kun Zhang, Ao Zhang, Xiaohong Wang, Weisong Li

“…Point cloud completion aims to utilize algorithms to repair missing parts in 3D data for high-quality point clouds. …”
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Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection by Juan M. Herrera-Lopez, Alvaro Galan-Cuenca, Antonio J. Reina, Isabel Garcia-Morales, Victor F. Munoz

“…In minimally invasive surgery, robotics integration has been crucial, with a current focus on developing collaborative algorithms to reduce surgeons’ workload. Effective human-robot collaboration requires robots to perceive surgeons’ gestures during interventions for appropriate assistance. …”
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Network toxicology and molecular docking reveal the potential link between acrylamide exposure and breast cancer by Zhaoda Duan, Chunjiao Yu, Wenjie Yang, Wenhui Wang, Qi Zhang, Qiaoling Ruan, Rui Zhang, Yongfang Zhao, Shan Yan

“…Protein–protein interaction network construction and MCC algorithm analysis identified 10 core genes. GO and KEGG enrichment analyses revealed that these genes were mainly involved in pathways such as PI3K-Akt signaling, HIF-1 signaling, and ECM–receptor interactions. …”
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling by Zipeng Zhang, Xidong Zhao, Wenzheng Wang, Yuqi Han, Chenwei Deng, Zhuokai Li, Linbo Tang

“…Finally, we propose an efficient solving algorithm with stepwise reconstruction from seed images sampled from infrared images, enabling linear-time extraction of infrared small targets. …”
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Research on leakage fault characteristics of emulsion pump outlet valve based on pressure signal by Xinyu PANG, Minshuai LIU, Zhandong ZHANG, Jigui WEI, Zisheng LIAN

“…The leakage of the outlet valve B mainly affects the first, fifth and sixth sections of a cycle; Outlet valve C leakage mainly affects the third, fourth and fifth sections of a cycle. …”
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Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning by Mi Liu, Xingxing Gao, Hongfa Wang, Yiping Zhang, Xiaojun Li, Renlai Zhu, Yunru Sheng

“…The machine learning algorithm screened three PCD-related genes, NLRC4, TXN and S100A9, as potential biomarkers for sepsis. …”
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Role of Social Media for Medical Oncologists and Medical Oncology Fellows (SMARTY): An Italian Cross-Sectional Study by Elena Battaiotto, Carmine Valenza, Mattia Garutti, Luigi Orlando Molendini, Elena Bellio, Dario Trapani, Fabio Puglisi, Gabriella Pravettoni, Luca Buccoliero, Giuseppe Curigliano, Manuelita Mazza

“…PURPOSEThe use of social media is transforming physician-patient communication, mainly in the field of medical oncology. The pattern of social media use by medical oncologists is poorly studied. …”
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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

“…After rigorous analysis, Random Forest emerged as the best-performing algorithm, exhibiting remarkable accuracy (87%), precision (78%), recall (95%), and f1-score (86%). …”
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Landscape analysis of m6A modification regulators reveals LRPPRC as a key modulator in tubule cells for DKD: a multi-omics study by Li Jiang, Hongda Yu, Jie Jian, Xulin Sai, Yudian Wang, Yufei Zhang, Xiai Wu

“…The output of 3 types of machine learning algorithm and differential analysis has determined the LRPPRC as the hub gene. …”
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Classification of ophthalmic segment internal carotid artery aneurysms: a literature review by Irina N. Sever, Anna E. Gerasyuta, Dmitry V. Litvinenko, Vyacheslav V. Tkachev

“…The high variability of the location of carotid-ophthalmic (paraclinoid) aneurysms is the main reason for the lack of a generally recognized clinical and anatomical classification of aneurysms of this localization. …”
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Method of Video-Measurements of Traffic Flow Characteristics at a Road Junction by Marina Yashina, Maria Belova, Alexey Mokhov

“…In the theory of traffic flows the main characteristics are: intensity, speed, and density.  …”
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Preperimetric glaucoma by N. A. Bakunina, E. V. Openkova, I. V. Shaposhnikova, L. M. Gabdrakhmanov, A. V. Kuroyedov, А. V. Seleznev, H. Y. Zargaryan

“…Recently, much literature data is available on the issue of diagnosis of preperimetric glaucoma (PPG), but no recognized algorithms of detecting primary open-angle glaucoma (POAG) at this stage have been developed, and there is no general opinion as to what parameters and techniques should be used. …”
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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Original investigation algorithm was based on tasks of the study and included careful inquiry and physical investigation of patients. …”
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A case study on thermal conductivity characteristics and prediction of rock and soil mass at a proposed ground source heat pump (GSHP) site by Yongjie Ma, Jingyong Wang, Fuhang Hu, Echuan Yan, Yu Zhang, Hao Deng, Xuefeng Gao, Jianguo Kang, Haoxin Shi, Xin Zhang, Jianqiao Zheng, Jixiang Guo

“…The result error of the in-situ thermal conductivity prediction model established by calculation is mainly within ± 5%, which is reliable and accurate. …”
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Single Cell Transcriptomic Profiling of MYBPC3‐Associated Hypertrophic Cardiomyopathy Across Species Reveals Conservation of Biological Process But Not Gene Expression by Samia A. Ali, Gayani Perera, Jason Laird, Rebecca Batorsky, Martin S. Maron, Victor N. Rivas, Joshua A. Stern, Samantha Harris, Michael T. Chin

“…HCM is also a common veterinary clinical problem in certain cat breeds such as Maine Coons and Ragdolls, also most associated with mutations in MYBPC3. …”
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The Impact of Atmospheric Rivers on Precipitation and Their Contribution to Crustal Deformation in Greenland, 2010 to 2019 by Wenhao Li, Xinyu Qin, Tingting Zhu, Jintao Lei, C. K. Shum, Fei Li, Shengkai Zhang

“…However, previous studies have mainly focused on ARs detection and corresponding climate impact factors, lacking research on the contribution of extreme AR precipitation to crustal deformation. …”
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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“…The research not only deepens the understanding of emotion classification algorithms but also provides valuable perspectives for their application in crucial areas such as mental health and personalized medical assistance. …”
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Classification of Biological Data using Deep Learning Technique by Azha Javed, Muhammad Javed Iqbal

“…Recently machine learning algorithms got huge attention and are widely used. These algorithms are based on deep learning architecture and data-driven models. …”
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A COMPREHENSIVE MODEL FOR THE POWER TRANSFORMER DIGITAL DIFFERENTIAL PROTECTION FUNCTIONING RESEARCH by Yu. V. Rumiantsev

“…Digital differential protection blocking algorithms based on the harmonic content were considered. …”
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A review on control systems hardware and software for robots of various scale and purpose. Part 2. Service robotics by Aleksey M. Romanov

“…The following conclusions are made on the basis of the review results: the key technology in service robotics from the point of view of scalability is the Robot Operating System (ROS); service robotics is today the main springboard for testing intelligent algorithms for the tactical and strategic control levels that are integrated into a common system based on ROS; the problem of ensuring fault tolerance in the service robotics is practically neglected, with the exception of the issue of increasing reliability by changing behavioral algorithms; in a number of areas of service robotics, in which the reduction of mass and dimensions is especially important, the robot control systems are implemented on a single computing device, in other cases a multi-level architecture implemented on Linux-based embedded computers with ROS are used.…”
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