Breathing ferroelectricity induced topological valley states in kagome niobium halide monolayers by Kai-Qi Wang, Jun-Ding Zheng, Wen-Yi Tong, Chun-Gang Duan

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Mobile application based on KDD to predict high-crime areas and promote sustainability in citizen security in a district of Lima-Perú by Hugo Vega-Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza, Gisella Luisa Elena Maquen-Niño, Luis Guerra-Grados, Jorge Pantoja-Collantes, Oscar Benito-Pacheco, Juan Carlos Lázaro-Guillermo, Adegundo Camara-Figueroa, Javier Cabrera-Díaz, Rubén Gil-Calvo, Frida López-Córdova

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Spontaneous polarization dynamics in V-doped monolayer MoS2 by Jinhong Xu, Qijing Zheng, Jin Zhao

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Data-driven microstructural optimization of Ag-Bi-I perovskite-inspired materials by Kshithij Mysore Nandishwara, Shuan Cheng, Pengjun Liu, Huimin Zhu, Xiaoyu Guo, Fabien C.-P. Massabuau, Robert L. Z. Hoye, Shijing Sun

“…Our work advances computational frameworks for self-driving labs and shedding light on AI-accelerated microstructure development for emerging thin-film materials.…”
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Sustainable economic production quantity optimization (SEPQ) considering food waste emission and water waste emission using genetic algorithm by Windy Puspika, Ilyas Masudin, Thomy Eko Saputro, Salman Alfarisi, Dian Palupi Restuputri, S. Sarifah Radiah Shariff

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DeepDiveAI: Identifying AI-Related Documents in Large Scale Literature Dataset by Xingzhou Liang, Xiaochen Zhou, Hui Zou, Yi Lu, Jingjing Qu

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Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud by Zhizhong Xing, Zhizhong Xing, Zhizhong Xing, Zhijun Meng, Gengfeng Zheng, Guolan Ma, Lin Yang, Lin Yang, Xiaojun Guo, Li Tan, Yuanqiu Jiang, Huidong Wu

“…Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the decline and recovery of hand function have become a significant concern. …”
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A machine learning approach to designing and understanding tough, degradable polyamides by Yoshifumi Amamoto, Chie Koganemaru, Ken Kojio, Atsushi Takahara, Sayoko Yamamoto, Kazuki Okazawa, Yuta Tsuji, Toshimitsu Aritake, Kei Terayama

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Accelerating discovery of next-generation power electronics materials via high-throughput ab initio screening by Jiashu Chen, Mingzhu Liu, Minghui Liu, Xinzhong Wang, Yiwen Su, Guangping Zheng

“…Our methodology could be extended to other application domains of electronics, simplifying the process of exploring new materials.…”
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A benchmark dataset and methodology for fine grained vehicle make and model classification by Sobia Hayee, Fawad Hussain, Muhammad Haroon Yousaf, Muhammad Haroon Yousaf, Muhammad Yasir, Shahzor Ahmad, Serestina Viriri

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CellMet: Extracting 3D shape and topology metrics from confluent cells within tissues. by Sophie Theis, Mario A Mendieta-Serrano, Bernardo Chapa-Y-Lazo, Juliet Chen, Timothy E Saunders

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Fire detection using surveillance systems by Hanan Samir Mahmoud

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Efficiency and cost of economical brain functional networks. by Sophie Achard, Ed Bullmore

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Paradoxical relationship between speed and accuracy in olfactory figure-background segregation. by Lior Lebovich, Michael Yunerman, Viviana Scaiewicz, Yonatan Loewenstein, Dan Rokni

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Contact-number-driven virus evolution: A multi-level modeling framework for the evolution of acute or persistent RNA virus infection. by Junya Sunagawa, Ryo Komorizono, Hyeongki Park, William S Hart, Robin N Thompson, Akiko Makino, Keizo Tomonaga, Shingo Iwami, Ryo Yamaguchi

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Identifying the DNA methylation preference of transcription factors using ProtBERT and SVM. by Yanchao Li, Quan Zou, Qi Dai, Antony Stalin, Ximei Luo

“…Transcription factors (TFs) can affect gene expression by binding to certain specific DNA sequences. This binding process of TFs may be modulated by DNA methylation. …”
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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

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Mathematical modeling unveils the timeline of CAR-T cell therapy and macrophage-mediated cytokine release syndrome. by Daniela S Santurio, Luciana R C Barros, Ingmar Glauche, Artur C Fassoni

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Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model. by Ian Roberts, Richard G Everitt, Jere Koskela, Xavier Didelot

“…The structured coalescent model has a long history of being used as the underlying process for such phylogeographic analysis. However, the computational cost of using this model does not scale well to the large number of genomes frequently analysed in pathogen genomic epidemiology studies. …”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…Moreover, it can significantly improve the computational efficiency and save the computational cost when dealing with financial time series containing high-frequency data.…”
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