The digital university is a solution for the sustainable functioning and developing of higher education institutions in war and post-war times by Oleh Zakhozhai, Dmytro Marchenko, Oleksandr Menyaylenko

“…Particular attention is paid to solutions that allow to ensure the sustainable functioning and development of educational institutions in war and post-war times. …”
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Mitochondrial subtypes in renal ischemia reperfusion injury guide delayed graft function and Long-Term graft prediction by Danni Hu, Zheng Wang

“…Abstract Background Ischemia reperfusion injury (IRI) in kidney transplantation (KTx) is closely associated with acute rejection, delayed graft function (DGF), and graft failure. Evidence highlights the significant correlation between mitochondrial dysfunction and IRI. …”
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UAV Autonomous Navigation Based on Deep Reinforcement Learning in Highly Dynamic and High-Density Environments by Yuanyuan Sheng, Huanyu Liu, Junbao Li, Qi Han

“…In addition, a dynamic reward function is constructed based on a non-sparse reward function to balance the agent’s conservative behavior and exploratory behavior during the model training process. …”
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Static Iterative Learning Control Over Finite Frequency Domain for Actuator Failure Uncertain Systems by Liangxin Dong, Lei Wang, Feng Gao, Yiyang Chen

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Training size predictably improves machine learning-based epileptic seizure forecasting from wearables by Mustafa Halimeh, Michele Jackson, Tobias Loddenkemper, Christian Meisel

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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…Furthermore, based on the history data of passenger flow of rail transit stations and relevant influence factors, it applies the deep learning method to choose the relatively optimal hidden layer node by means of the cut-and-try method, set up input data and labeled data, select the activation function and loss function, and use the Adam Gradient Descent Optimization Algorithm for iterative global convergence. …”
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Comparing the functionality of ontology design software with an emphasis on Persian language: Designing an evidence-based medical ontology prototype by Adeleh asadi

“…In the review of the software, all programs are free to download and were written under Java program. In terms of learning and using of software, Protege program, Obo-Editor and Kogoi are simpler and less complicated and have useful resources to learn the software. …”
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Association between relative fat mass and cognitive function among US older men: NHANES 2011–2014 by Linlin Liu, Anshi Wu, Shengnan Yang

“…Specifically, the Consortium to Establish a Registry for Alzheimer’s Disease Word Learning Test (CERAD-WL), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST) were used in order to achieve the objective of assessing cognitive function. …”
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TDCS Modulates Brain Functional Networks in Children with Autism Spectrum Disorder: A Resting-State EEG Study by Jiannan Kang, Wenqin Mao, Juanmei Wu, Xinling Geng, Xiaoli Li

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Effects of Baduanjin on motor function in children with developmental coordination disorders: study protocol for a randomised controlled trial by Wei Song, Anren Zhang, Jiaxin Gao, Xiaohua Ke, Dunbing Huang, Yangxin Wu, Xiaqing Xu, Hongfei Ren

“…Following an 8-week intervention period, assessments using motor assessment battery for children-second edition, ProKin 254 Balance Test System will be conducted to evaluate the impact of Baduanjin on the motor coordination and balance in children with DCD. Furthermore, functional near-infrared spectroscopy will be employed to capture haemodynamic data from the children’s brain movement-related cortex during functional activities. …”
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Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training by Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Chao Huang, Zheng O’Neill, Zhaoran Wang, Qi Zhu

“…Specifically, the algorithm stages include learning expert functions from existing abstract physical models and from historical data via offline reinforcement learning, integrating the expert functions with rule-based guidelines, conducting training guided by the integrated expert function and performing policy initialization from distilled expert function. …”
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Fire Resistance of Steel Beams with Intumescent Coating Exposed to Fire Using ANSYS and Machine Learning by Igor Džolev, Sofija Kekez-Baran, Andrija Rašeta

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Effects of sulforaphane on cognitive function in patients with frontal brain damage: study protocol for a randomised controlled trial by Jing Huang, Gangrui Hei, Fangkun Liu, Renrong Wu, Zhixiong Liu

“…Introduction Many patients with frontal brain damage show serious cognitive function deficits, which hamper their quality of life and result in poor clinical outcomes. …”
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Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

“…These models operate independently in a local model framework, generating specialized predictions that are synthesized by a global model framework through a meta-function. The meta-function aggregates predictions to compute a final score for each course and ensures recommendations align with student success probabilities, program requirements, and workload constraints. …”
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Student perspectives and usage of adaptive learning technology in the university physiology course, and the association with question design by Haruna Abe, Kay Colthorpe, Pedro Isaias

“…The student feedback and learning analytics data were then collected and analysed with respect to Action Potentials and Vestibular Function modules in 2019. …”
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Inverse binary optimization of convolutional neural network in active learning efficiently designs nanophotonic structures by Jaehyeon Park, Zhihao Xu, Gyeong-Moon Park, Tengfei Luo, Eungkyu Lee

“…In this paper, we introduce an inverse binary optimization (IBO) scheme that optimizes a surrogate function based on a convolutional neural network (CNN) within an active learning framework. …”
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Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction by Minglu Zhao, Masamichi Shimosaka

“…Inverse reinforcement learning (IRL) has emerged as a leading approach domain, as it allows the inference of underlying reward functions from human-driving demonstrations, enabling the modeling of complex behaviors. …”
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Integrated Guidance and Control for Strap-Down Flight Vehicle: A Deep Reinforcement Learning Approach by Qinglong Zhang, Bin Zhao, Yifu Jiang, Jingyan Zhang, Jiale Zhang

“…Additionally, this function mitigates the issue of sparse rewards to some extent. …”
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A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scores by Yasaman Fatapour, James P. Brody

“…Abstract Genotype to phenotype prediction is a central problem in biology and medicine. Machine learning is a natural tool to address this problem. …”
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Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning by Fei Li, Weifei Tu, Yun Zhou, Heng Li, Feng Zhou, Weirong Liu, Chao Hu

“…Multi-agent reinforcement learning has emerged as a promising candidate for the secondary control of DC microgrids. …”
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