VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network by Hu Zhang, Yujia Liao, Chang Zhu, Wei Meng, Quan Liu, Sheng Q. Xie

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Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes by Alex Otten, Michael Francis, Anna Bulysheva

“…This study elucidates areas where predictive ML algorithms may ideally inform GET study design to accelerate optimization and improve efficiencies upon the further training of these models.…”
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Development and validation of a model to identify polycystic ovary syndrome in the French national administrative health database by Eugénie Micolon, Sandrine Loubiere, Appoline Zimmermann, Julie Berbis, Pascal Auquier, Blandine Courbiere

“…Abstract Background We aimed to develop and validate an algorithm for identifying women with polycystic ovary syndrome (PCOS) in the French national health data system. …”
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Quantitatively analyzing the relationship between non-pharmaceutical interventions and the direction of virus evolution using a dynamic model by Zuiyuan Guo, Yuheng Chen, Hongbo Liu, Guangquan Xiao, Di Yu, Zhaojia Zhang, Yimin Yang, Zhongwei Yin, Huibin Zhang

“…Conversely, the relaxation of these measures may pose a risk of recurring epidemics fueled by continuous viral mutations.DiscussionPresently, the potential emergence and widespread transmission of SARS-CoV-2 variants with increased virulence cannot be discounted. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…Latent Class Analysis was used to analyze competency subgroups covering professional abilities, general abilities, and management abilities. Boruta algorithm was used to select feature and improve the performance of the following predictive models. …”
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Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and exploration of its p... by Jinpu Peng, Shili Wang, Xingyu Pan, Moudong Wu, Xiong Zhan, Dan Wang, Guohua Zhu, Wei Wang, Hongyu Tang, Nini An, Jun Pei

“…Second, machine learning algorithms were utilized to identify the key genes among them, and the HPA database was used to explore the expression landscape. …”
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Digital Pathology Tailored for Assessment of Liver Biopsies by Alina-Iuliana Onoiu, David Parada Domínguez, Jorge Joven

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Nonlinear Equation Solver with MATLAB Graphical User Interface by Nur Idalisa Norddin, Nurul Hafawati Fadhilah, Muhammad Azri Azman Shah, Nurul Hajar Mohd Yusoff, Nur Intan Syafinaz Ahmad

“… Nonlinear systems of equations, which is common in scientific and engineering fields, pose a significant difficulty because they may have numerous solutions and are complicated to be numerically solved. …”
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Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

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Non-Iterative Recovery Information Procedure with Database Inspired in Hopfield Neural Networks by Cesar U. Solis, Jorge Morales, Carlos M. Montelongo

“…It is considered that the information analyzed may be incomplete, damaged, or corrupted. This algorithm is inspired by Hopfield Neural Networks (HNN), which allows the recursive reconstruction of an information vector through an energy-minimizing optimal process, but this paper presents a procedure that generates results in a single iteration. …”
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LOS DERECHOS DIGITALES DEL EMPLEADO PÚBLICO ANTE LAS TRANSFORMACIONES TECNOLÓGICAS Y EL USO DE LA IA EN LOS PROCESOS DE GESTIÓN DE PERSONAS by JOSEFA CANTERO MARTINEZ

Computational Analysis of Quantitative Characteristics of some Residual Properties of Solvable Baumslag-Solitar Groups by Elena Alexandrovna Tumanova

“…The results obtained may have applications in the theory of computational complexity and algebraic cryptography.…”
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Quantum distance approximation for persistence diagrams by Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas

“…The space of persistence diagrams can be endowed with various metrics, which admit a statistical structure and allow to use these summaries for machine learning algorithms, e.g. the Wasserstein distance. However, computing the distance between two persistence diagrams involves finding an optimal way to match the points of the two diagrams and may not always be an easy task for classical computers. …”
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Meaningful app-work? Exploring meaningful work experiences of food delivery couriers in Poland by Aneta Pieczka, Miłosz Miszczyński

“…It provides new insights into how workers create and perceive meaningful work in a highly digitised and algorithmically managed environment.…”
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The Appropriation of Fixed Capital: A Metaphor? by Antonio Negri

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Evolution of machine learning applications in medical and healthcare analytics research: A bibliometric analysis by Samuel-Soma M. Ajibade, Gloria Nnadwa Alhassan, Abdelhamid Zaidi, Olukayode Ayodele Oki, Joseph Bamidele Awotunde, Emeka Ogbuju, Kayode A. Akintoye

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Wearable Sensors-Based Intelligent Sensing and Application of Animal Behaviors: A Comprehensive Review by Luyu Ding, Chongxian Zhang, Yuxiao Yue, Chunxia Yao, Zhuo Li, Yating Hu, Baozhu Yang, Weihong Ma, Ligen Yu, Ronghua Gao, Qifeng Li

“…Considering that the computational demands and limited adaptability to complex field environments remain significant constraints, Tiny Machine Learning (Tiny ML) could present opportunities to guide future research toward practical, scalable behavioral monitoring solutions. In addition, algorithm development for functional applications post behavior recognition may represent a critical future research direction.…”
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Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

“…The prediction models of short-term mortality were developed by seven machine learning algorithms. Ten-fold cross-validation was used to verify the performance of the algorithm in the development queue. …”
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Quantum Circuit Architecture Search on a Superconducting Processor by Kehuan Linghu, Yang Qian, Ruixia Wang, Meng-Jun Hu, Zhiyuan Li, Xuegang Li, Huikai Xu, Jingning Zhang, Teng Ma, Peng Zhao, Dong E. Liu, Min-Hsiu Hsieh, Xingyao Wu, Yuxuan Du, Dacheng Tao, Yirong Jin, Haifeng Yu

“…Variational quantum algorithms (VQAs) have shown strong evidence to gain provable computational advantages in diverse fields such as finance, machine learning, and chemistry. …”
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Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach by Ritu Gupta, Ekata, C.M. Batra

“…MATLAB code for FFBP algorithm is built to improve the values of reliability and cost function by minimizing the error up to 0.0001 precision. …”
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