Hyperbolic Metric Spaces and Stochastic Embeddings by Chris Gartland

“…Stochastic embeddings of finite metric spaces into graph-theoretic trees have proven to be a vital tool for constructing approximation algorithms in theoretical computer science. In the present work, we build out some of the basic theory of stochastic embeddings in the infinite setting with an aim toward applications to Lipschitz free space theory. …”
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Model Klasifikasi Machine Learning untuk Prediksi Ketepatan Penempatan Karir by Hendri Mahmud Nawawi, Agung Baitul Hikmah, Ali Mustopa, Ganda Wijaya

“…The complexity of the job market requires individuals and organizations to understand the trends and needs of the world of work. One of the main challenges is the right career placement. That is becoming increasingly popular is the use of Machine Learning  algorithms in the decision-making process. …”
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Expose flexible conformations for intrinsically disordered protein by Jiaan Yang, Wenxin Ji, Wen Xiang Cheng, Gang Wu, Si Tong Sheng, Peng Zhang, Jun Lin, Xiaojia Chen, Qiong Shi

“…The folding conformation of native protein has flexibility in different degrees, which may bring difficulty in presenting the structures, and also it causes complexity in understanding the relationship between structure and functions. …”
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Integrated Single-Cell and Spatial Transcriptomic Analysis Identifies ISR-Related Genes Driving Immune Regulation in Parkinson’s Disease by Jiang H, Zhang X, Feng S, Feng W

“…These methods allowed us to identify four key ISR-related genes (DDIT4, GNA13, HSPA1B, and SLC7A5) that may affect PD progression, mainly through immune-related pathways. …”
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On-chip waveguide digital metalenses via inverse design by Tao Wang, Qi Luo, Fengyuan Cui, Zimeng Zhang, Qinghai Song, Ke Xu

“…The intersection of digital structures and algorithm-driven optimizations offers greater versatility for on-chip wavefront shaping.…”
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Rooting depth projections of global plant functional types and driving factors analysis based on a hybrid modeling framework by Qinggong Han, Bo Liu, Yunuo Liu, Jielin Zhang, Yongxia Ding, Shouzhang Peng

“…Rooting depth in different periods showed similar spatial heterogeneity, which was mainly related to factors such as plant functional types, climate, elevation, and soil. …”
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Clinical and epidemiological characteristics of acute flaccid myelitis cases in children registered in the Russian Federation in 2015–2019 by A. K. Shakaryan, I. Kh. Belyaletdinova, S. V. Shakhgildyan, O. E. Ivanova, T. P. Eremeeva, A. P. Gmyl, O. Yu. Baykova, A. N.-I. Mustafina, L. I. Kozlovskaya

“…In all patients, regardless of therapy, there was a positive trend, but complete recovery was not achieved: paresis of varying severity persisted, mainly in the proximal extremities Therefore, acute flaccid myelitis cases as acute flaccid paralysis cases of unknown etiology require an additional observation and an expanded algorithm of laboratory investigation aimed to finding a possible pathogen.…”
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Trajectory Planning for Robotic Manipulators in Automated Palletizing: A Comprehensive Review by Samuel Romero, Jorge Valero, Andrea Valentina García, Carlos F. Rodríguez, Ana Maria Montes, Cesar Marín, Ruben Bolaños, David Álvarez-Martínez

“…This survey-type article compiles research articles published in recent years that focus on the main algorithms proposed for addressing placement and minimum-time path planning for a manipulator responsible for performing pick-and-place tasks. …”
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Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation by Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos

“…For outdoor navigation, sensor fusion algorithms may also use magnetometers and GPS modules, since in indoor environments and certain urban areas they may suffer from measurements corruption in the presence of ferromagnetic materials and signal occlusion, respectively. …”
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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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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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Characteristic genes and immune landscape of interstitial cystitis. by Junhao Wang, Yan Zhou, Jie Hu, Jianpeng Han, Jianyong Feng, Kuo Guo, Wenbin Chen, Yanrui Yun, Yongzhang Li

“…Three machine learning algorithms were applied for identification of characteristic gene for IC. …”
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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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