ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction. by Yunyun Dong, Yuanrong Zhang, Yuhua Qian, Yiming Zhao, Ziting Yang, Xiufang Feng

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Forgiveness in human-machine interaction by Inbal Holtzman, Galit Nimrod

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Plagiarism types and detection methods: a systematic survey of algorithms in text analysis by Altynbek Amirzhanov, Cemil Turan, Alfira Makhmutova

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Parallel synapses with transmission nonlinearities enhance neuronal classification capacity. by Yuru Song, Marcus K Benna

“…This demonstrates that multiple nonlinear synapses per input axon can substantially enhance a neuron's computational power.…”
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Reliability of plastid and mitochondrial localisation prediction declines rapidly with the evolutionary distance to the training set increasing. by Sven B Gould, Jonas Magiera, Carolina García García, Parth K Raval

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De novo design of polymer electrolytes using GPT-based and diffusion-based generative models by Zhenze Yang, Weike Ye, Xiangyun Lei, Daniel Schweigert, Ha-Kyung Kwon, Arash Khajeh

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Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm by Xuping Gu, Xianjun Shi

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Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques by Phasuwut Chunnapiya, Porawat Visutsak

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Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm by Mohammad Ansari Shiri, Najme Mansouri

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Unsupervised identification of crystal defects from atomistic potential descriptors by Lukáš Kývala, Pablo Montero de Hijes, Christoph Dellago

“…Traditionally used order parameters are system-dependent and can be computationally expensive to calculate for long molecular dynamics simulations. …”
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From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory s... by Andrea Ferrario, Andrey Palyanov, Stella Koutsikou, Wenchang Li, Steve Soffe, Alan Roberts, Roman Borisyuk

“…To investigate this question we develop two whole body computer models of a tadpole. The "Central Nervous System" (CNS) model uses evidence from whole-cell recording to define 2300 neurons in 12 classes to study how sensory signals from the skin initiate and stop swimming. …”
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CodeGuard: enhancing accuracy in detecting clones within java source code by Yasir Glani, Luo Ping

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Generalized Confidence Interval for the Difference Between Percentiles of Birnbaum–Saunders Distributions and Its Application to PM2.5 in Thailand by Warisa Thangjai, Sa-Aat Niwitpong, Suparat Niwitpong

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Thermodynamic modeling of genome-wide nucleosome depleted regions in yeast. by Hungyo Kharerin, Lu Bai

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The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins. by Lukasz Jaroszewski, Mallika Iyer, Arghavan Alisoltani, Mayya Sedova, Adam Godzik

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Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. by Philipp Berens, Jeremy Freeman, Thomas Deneux, Nikolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H Macke, Srinivas C Turaga, Patrick Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D Harris, Kenneth D Harris, Ben Bolte, Timothy A Machado, Dario Ringach, Jasmine Stone, Luke E Rogerson, Nicolas J Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S Tolias, Matthias Bethge

“…In recent years, two-photon calcium imaging has become a standard tool to probe the function of neural circuits and to study computations in neuronal populations. However, the acquired signal is only an indirect measurement of neural activity due to the comparatively slow dynamics of fluorescent calcium indicators. …”
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Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization by Daniel Molina-Pérez, Alam Gabriel Rojas-López

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Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters by Esvan-Jesús Pérez-Pérez, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, Ildeberto Santos-Ruiz

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High-throughput alloy and process design for metal additive manufacturing by Sofia Sheikh, Brent Vela, Pejman Honarmandi, Peter Morcos, David Shoukr, Abdelrahman Mostafa Kotb, Ibrahim Karaman, Alaa Elwany, Raymundo Arróyave

“…Abstract Many engineering alloys originally designed for conventional manufacturing lack considerations for additive manufacturing (AM), presenting opportunities for novel alloy designs. Evaluating alloy printability requires extensive analysis of chemical composition and processing conditions. …”
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Coupled lattice-charge-magnetic fluctuations for nonlocal flux mediated pairing in cuprate superconductors by Xi Chen, Yuchuang Cao, Jianghui Pan, Jiahao Dong, Changkai Luo, Xin Li

“…Motivated by these findings, we construct a charge flux model derived from quantum field theory to evaluate the effective interactions mediated by these flux flows. …”
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