Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…An ensemble of neural networks with piecewise linear activation functions was constructed. These models were optimized using the proximal policy optimization method. …”
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Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer’s disease by Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz, for the Alzheimer’s Disease Neuroimaging Initiative

“…This work aims to alleviate these limitations by adapting the concept of functional maps. Further, we present a graph-based learning approach for morphometric classification of disease states that uses novel shape descriptors based on this concept. …”
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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…A diagnostic panel was developed through machine learning of SMFs in the discovery cohort and validated in independent verification and set-aside validation cohorts. …”
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Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis by Yueying Li, Xiaotong Zhang, Shihan Guan, Guolin Ma, Youyong Kong

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Neurological function is restored post-ischemic stroke in zebrafish, with aging exerting a deleterious effect on its pathology by Takamasa Mizoguchi, Ayumi Maki, Yuno Nakase, Mayu Okita, Yuina Minami, Misa Fukunaga, Motoyuki Itoh

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Brain structural features with functional priori to classify Parkinson’s disease and multiple system atrophy using diagnostic MRI by Kai Zhou, Jie Li, Rui Huang, Jiali Yu, Rong Li, Wei Liao, Fengmei Lu, Xiaofei Hu, Huafu Chen, Qing Gao

“…Features were derived from a functional template, and hierarchical SHAP-based feature selection improved model accuracy and interpretability. …”
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Functionalization of biochar using SDS/SAP nanomicelles enhanced its immobilization capacity for dyes and heavy metals in water by Kun Tian, Chunping Li, Huiming Liu, Lianchun Wang

“…Subsequently, the SDMBC and BC was characterized by Fourier Transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM), Zeta potential (Zeta), it found SDMBC has a more layered structure, richer functional groups and more amorphous structure compared with BC, which are closely related with improving its adsorption capacity. …”
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Agreement and disagreement in pediatric functional neurological symptom disorders: Comparing patient reported outcome measures (PROMs) and clinician assessments by S. Barak, J. Landa, E. Eisenstein, M. Gerner, T. Ravid Vulkan, E. Neeman-Verblun, T. Silberg

“…This study assessed the disparities between clinician evaluations and patient-reported outcome measures (PROMs) regarding pain, motor function, and learning difficulties in youth with FNSD. …”
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Enhancing the reverse transcriptase function in Taq polymerase via AI-driven multiparametric rational design by Yulia E. Tomilova, Nikolay E. Russkikh, Igor M. Yi, Elizaveta V. Shaburova, Viktor N. Tomilov, Galina B. Pyrinova, Svetlana O. Brezhneva, Olga S. Tikhonyuk, Nadezhda S. Gololobova, Dmitriy V. Popichenko, Maxim O. Arkhipov, Leonid O. Bryzgalov, Evgeniy V. Brenner, Anastasia A. Artyukh, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Denis V. Antonets, Mikhail K. Ivanov, Mikhail K. Ivanov

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Multi-omics analysis and experiments uncover the function of cancer stemness in ovarian cancer and establish a machine learning-based model for predicting immunotherapy responses by Zhibing Liu, Zhibing Liu, Lei Han, Xiaoyu Ji, Xiaole Wang, Jinbo Jian, Yujie Zhai, Yingjiang Xu, Feng Wang, Xiuwen Wang, Fangling Ning

“…This identified gene set underpinned the development of the CSI, a groundbreaking tool leveraging advanced machine learning to predict prognosis and immunotherapy responses in ovarian cancer patients. …”
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Unveiling Glutamate Dynamics: Cognitive Demands in Human Short-Term Memory Learning Across Frontal and Parieto-Occipital Cortex: A Functional MRS Study by Hossein Mohammadi, Shahriyar Jamshidi, Hassan Khajehpour, Iman Adibi, Abbas Rahimiforoushani, Shaghayegh Karimi, Nasim Dadashi Serej, Nader Riyahi Alam

“…Conclusion: Our pioneering fMRS study has yielded groundbreaking insights into brain functions during S-term Memory (STM) and learning. …”
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Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

“…In this study, we propose a masked criterion function that weighs each region for CT numbers using masks extracted by supervised contrastive learning to better remove metal artifacts in head and neck CT images. …”
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Teorías constructivistas, perspectiva funcional-estructural en el aprendizaje del fútbol base (Constructivist theories, functional-structural perspective in learning in initiation to football) by Sagrario Del Valle, Manuel Antonio Rubio-Palomino, Jose María Nevado-Luna

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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

“…To overcome these problems, we adopt a computational biology approach and propose a new model BPFun based on deep learning, which can predict seven functions including anticancer, antibacterial, antihypertensive and so on. …”
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Using an Area-Weighted Loss Function to Address Class Imbalance in Deep Learning-Based Mapping of Small Water Bodies in a Low-Latitude Region by Pu Zhou, Giles Foody, Yihang Zhang, Yalan Wang, Xia Wang, Sisi Li, Laiyin Shen, Yun Du, Xiaodong Li

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Visual Cortical Function Changes After Perceptual Learning with Dichoptic Attention Tasks in Adults with Amblyopia: A Case Study Evaluated Using fMRI by Chuan Hou, Zhangziyi Zhou, Ismet Joan Uner, Spero C. Nicholas

“…<b>Methods:</b> We measured functional magnetic resonance imaging (fMRI) responses before and after perceptual learning in seven adults with amblyopia. …”
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MTSA-SC: A multi-task learning approach for individual trip destination prediction with multi-trajectory subsequence alignment and space-aware loss functions by Dan Luo, Fang Zhao, Hao Zhou, Chenxing Wang, Hao Xiong

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Load-Balanced Dynamic SFC Migration Based on Resource Demand Prediction by Tian Sun, Hefei Hu, Sirui Zhang

Subjects: “…network function virtualization…”
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Molecular mechanisms explaining sex-specific functional connectivity changes in chronic insomnia disorder by Liyong Yu, Zhifu Shen, Wei Wei, Zeyang Dou, Yucai Luo, Daijie Hu, Wenting Lin, Guangli Zhao, Xiaojuan Hong, Siyi Yu

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Editorial: Expanding insights into structure, function, and disorder of genome by the power of artificial intelligence in bioinformatics by Hongqiang Lyu, Yao Li, Sijia Wu, Laiyi Fu, Xiaoping Liang, Erhu Liu

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