Constraint-based modeling of bioenergetic differences between synaptic and non-synaptic components of dopaminergic neurons in Parkinson’s disease by Xi Luo, Diana C. El Assal, Yanjun Liu, Samira Ranjbar, Ronan M.T. Fleming, Ronan M.T. Fleming

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Innovative design of wood texture images for indoor furniture based on variable space by Chuan Xue, Ling Jin

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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

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JDroid: Android malware detection using hybrid opcode feature vector by Recep Sinan Arslan

“…A subset of 461 features, obtained through filtering and feature selection processes, is then created using fewer features. This increases efficiency and performance, avoids overfitting, and reduces computational cost. …”
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Analyzing the Impact of Artificial Intelligence on Student Learning: A Case Study of SMK Tri Arga 2 by Tri Putri Lestari

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Hayai-Annotation: A functional gene prediction tool that integrates orthologs and gene ontology for network analysis in plant species by Andrea Ghelfi, Sachiko Isobe

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Application of preoperative registration and automatic tracking technique for image-guided maxillofacial surgery by Wenbin Zhang, Xudong Wang, Jianfei Zhang, Guofang Shen

“…The accuracy of registration process was determined, and the deviation between planning model and postoperative computed tomography (CT) model was detected.Results: In each case, the preoperative registration was successful for navigational surgery. …”
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An artificial ecological system-based optimization to forecast the maximal TPH removal from Nigeria's Niger Delta crude oil-contaminated soil treated with a mix of biochar by Daniel Hogan Itam, Chimeme Martin Ekwueme, Ibiba Taiwo Horsfall

“…The optimization approach involved the integration of artificial intelligence algorithms and ecological principles to simulate and optimize TPH removal process. The maximum TPH removal of 87.76 % was predicted by AEO with a very high-speed convergence time of 0.02s at 20 iterations. …”
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Scalable training of neural network potentials for complex interfaces through data augmentation by In Won Yeu, Annika Stuke, Jon López-Zorrilla, James M. Stevenson, David R. Reichman, Richard A. Friesner, Alexander Urban, Nongnuch Artrith

“…Here, we present an efficient methodology incorporating forces into ANN training by translating them to synthetic energy data using Gaussian process regression (GPR), leading to accurate PES models with fewer additional first-principles calculations and a reduced computational effort for training. …”
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BanglaLem: A Transformer-based Bangla Lemmatizer with an Enhanced Dataset by Md Fuadul Islam, Jakir Hasan, Md Ashikul Islam, Prato Dewan, M. Shahidur Rahman

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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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A feedforward mechanism for human-like contour integration. by Fenil R Doshi, Talia Konkle, George A Alvarez

“…Deep neural network models provide a powerful experimental platform for exploring core mechanisms underlying human visual perception, such as perceptual grouping and contour integration-the process of linking local edge elements to arrive at a unified perceptual representation of a complete contour. …”
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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

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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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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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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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