A common cortical circuit mechanism for perceptual categorical discrimination and veridical judgment. by Feng Liu, Xiao-Jing Wang

“…Veridical judgment and categorical discrimination have traditionally been conceptualized as two distinct computational problems. Here, we found that these two types of decision making can be subserved by a shared cortical circuit mechanism. …”
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TwinCons: Conservation score for uncovering deep sequence similarity and divergence. by Petar I Penev, Claudia Alvarez-Carreño, Eric Smith, Anton S Petrov, Loren Dean Williams

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Bayesian classification of OXPHOS deficient skeletal myofibres. by Jordan Childs, Tiago Bernardino Gomes, Amy E Vincent, Andrew Golightly, Conor Lawless

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Novel hybrid integrated Pix2Pix and WGAN model with Gradient Penalty for binary images denoising by Luca Tirel, Ali Mohamed Ali, Hashim A. Hashim

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Exploring the conformational transitions of biomolecular systems using a simple two-state anisotropic network model. by Avisek Das, Mert Gur, Mary Hongying Cheng, Sunhwan Jo, Ivet Bahar, Benoît Roux

“…Here we propose a simple and computationally efficient method, called ANMPathway, for constructing a physically reasonable pathway between two endpoints of a conformational transition. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…Two prominent object detection frameworks, RetinaNet and YOLO, have been widely adopted in computer vision tasks due to their complementary strengths. …”
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Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques. by Yang Wu, Ming Chen, Yufang Qin

“…First, we use statistical methods to compute the differences in gene expression, gene mutation, and gene copy number variations between within and outside biological pathways, and utilized these pathway difference values as cell line features, combined with the drugs' SMILES chemical structure information as inputs to the model. …”
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A model of anaerobic tissue perfusion during trauma-Lactate trajectory curvature can determine recovery. by Austin Baird, Steven A White, Erika K Bisgaard, Rachel K Wentz, Edward M Sims, David Hananel

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MGDrivE 2: A simulation framework for gene drive systems incorporating seasonality and epidemiological dynamics. by Sean L Wu, Jared B Bennett, Héctor M Sánchez C, Andrew J Dolgert, Tomás M León, John M Marshall

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Noise-resilient designs and analysis for optical neural networks by Gianluca Kosmella, Ripalta Stabile, Jaron Sanders

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Full-length ribosome density prediction by a multi-input and multi-output model. by Tingzhong Tian, Shuya Li, Peng Lang, Dan Zhao, Jianyang Zeng

“…Most of the existing computational approaches for modeling translation elongation from ribosome profiling data mainly focus on local contextual patterns, while ignoring the continuity of the elongation process and relations between ribosome densities of remote codons. …”
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Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib by Messaoud MEZATI, Ines AOURIA

“…Accuracy results show that Flink-ML (74.9%) slightly outperforms Spark MLlib (74.7%), suggesting that continuous learning in Flink-ML may contribute to better generalization. …”
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Research on automatic processing system of financial information in colleges and universities based on NLP-KG fusion algorithm by Jin Lei, Mengke Wei, Yiwen She, Weixia Wang

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Challenging a paradigm: Staggered versus single-pulse mass dog vaccination strategy for rabies elimination. by Brinkley Raynor Bellotti, Elvis W Díaz, Micaela De la Puente-León, Maria T Rieders, Sergio E Recuenco, Michael Z Levy, Ricardo Castillo-Neyra

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Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei

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Exploring the usability of platforms for individuals with visual impairments: a systematic literature review by Fahrobby Adnan, Januar Adi Putra, Maulida Dwi Agustiningsih, Eva Oktaviana, Nabila Anjani Robi’atul Adawiyah

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INTEGRATED CYBERSECURITY FRAMEWORK FOR ENHANCED THREAT DETECTION AND INCIDENT RESPONSE IN THE DIGITAL ERA by Azlin Ramli, Mohamad Yusof Darus, Yusnani Mohd Yussoff, Badri Azni, Kanqi Xie

An enhanced multimodal fusion deep learning neural network for lung cancer classification by Sangeetha S.K.B, Sandeep Kumar Mathivanan, P Karthikeyan, Hariharan Rajadurai, Basu Dev Shivahare, Saurav Mallik, Hong Qin

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HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants by Yaoli Mao, Janet Rafner, Janet Rafner, Yi Wang, Jacob Sherson

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Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning by Rajib Maity, Aman Srivastava, Subharthi Sarkar, Mohd Imran Khan

“…The review also addresses persistent challenges, including data limitations, computational demands, and model interpretability, proposing solutions that integrate emerging technologies like quantum computing, the Internet of Things (IoT), and interdisciplinary collaboration. …”
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