Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings by Schmid Marc, Schöpf Moritz, Kolbinger Otto

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STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition by Chuhanwen Sun, Yi Zhang

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Deriving experimental constraints on the scalar form factor in the second-class $\tau \to\eta \pi \nu$ mode by Bachir Moussallam

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Fluorescence Lifetime Imaging of NAD(P)H in Patients’ Lymphocytes: Evaluation of Efficacy of Immunotherapy by Diana V. Yuzhakova, Daria A. Sachkova, Anna V. Izosimova, Konstantin S. Yashin, Gaukhar M. Yusubalieva, Vladimir P. Baklaushev, Artem M. Mozherov, Vladislav I. Shcheslavskiy, Marina V. Shirmanova

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Comparison of Bar Formation Mechanisms. II. Does a Tidally Induced Bar Grow Faster than an Internally Developed Bar? by Yirui Zheng, Juntai Shen, Xufen Wu, Bin-Hui Chen

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In-silico analysis of deleterious non-synonymous SNPs in the human AVPR1a gene linked to autism by Md. Delowar Kobir Jibon, Md. Asadul Islam, Md. Eram Hosen, Md. Omar Faruqe, Rashed Zaman, Uzzal Kumar Acharjee, Biswanath Sikdar, Yewulsew Kebede Tiruneh, Md. Khalekuzzaman, Motasim Jawi, Magdi E. A. Zaki

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Research on Universal Time/Length of Day Combination Algorithm Based on Effective Angular Momentum Dataset by Xishun Li, Yuanwei Wu, Dang Yao, Jia Liu, Kai Nan, Zewen Zhang, Weilong Wang, Xuchong Duan, Langming Ma, Haiyan Yang, Haihua Qiao, Xuhai Yang, Xiaohui Li, Shougang Zhang

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Mechanical positioning of multiple nuclei in muscle cells. by Angelika Manhart, Stefanie Windner, Mary Baylies, Alex Mogilner

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Intertextuality and Arthurian Women in David Lodge’s Small World (1984) by Anastasija Ropa

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Incubation Processes in Solving Problems: Current State and Prospects of Research by N.S. Kuliev

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Bajka terapeutyczna jako medium edukacyjne: wzorce społeczne, kulturowe i językowe by Paulina Forma, Dorota Bełtkiewicz

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Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications by Yiheng Ding, Ziqiang Wei, Chaoyun Wang, Xinyue Li, Bingbing Li, Xueting Liu, Zhijie Fu, Hongwei Mo, Hong Zhang

“…In contrast, the Swin transformer showed single-model (macular), single-model (optic disk), and multimodel average accuracies of 82.25%, 74.936%, and 85.06%, respectively, for predicting hypertension.ConclusionThe changes caused by hypertension on the fundus vessels can be observed more accurately and efficiently using OCTA image features through deep learning. …”
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Effects of scale on segmentation of Nissl–stained rat brain tissue images via convolutional neural networks by Alexandro Arnal, Olac Fuentes

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Is Enceladus' plume tidally controlled? by I. Halevy, S. T. Stewart

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Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises by Yong Shi, Yuan Wang, Hongkun zuo

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Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus by Marisa Ferrara Boston, John Hale, Reinhold Kliegl, Umesh Patil, Shravan Vasishth

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Sequence learning recodes cortical representations instead of strengthening initial ones. by Kristjan Kalm, Dennis Norris

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Adsorption of peroxidase from L onto alginate–guar gum matrix: Kinetic, equilibrium and thermodynamic analysis by Ana C Santos Leite da Silva, Nadia Woitovich Valetti, María E Brassesco, José A Teixeira, Guillermo Picó

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Measurement of D0 meson tagged jets in Au+Au collisions at √sNN = 200 Gev by Lomicky Ondrej

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Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis by Georgina Arrambide, Manuel Comabella, Carmen Tur

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