Radiomics machine learning based on asymmetrically prominent cortical and deep medullary veins combined with clinical features to predict prognosis in acute ischemic stroke: a retr... by Hongyi Li, Cancan Chang, Bo Zhou, Yu Lan, Peizhuo Zang, Shannan Chen, Shouliang Qi, Ronghui Ju, Yang Duan

“…However, no machine learning method has been applied to investigate the correlation between the dynamic evolution of intracerebral venous collateral circulation and AIS prognosis. …”
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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

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Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision me... by Yutong Fang, Rongji Zheng, Yefeng Xiao, Qunchen Zhang, Junpeng Liu, Jundong Wu

“…With the advent of machine learning (ML) techniques, predictive modeling based on NRGs may offer a new avenue for precision oncology.MethodsWe collected transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. …”
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CD79A and GADD45A as novel immune-related biomarkers for respiratory syncytial virus severity in children: an integrated machine learning analysis and clinical validation by Juan Juan Chen, Zhang Ze Lu, Yu Xin Jing, Xing Mei Nong, Yi Qin, Jin Yang Huang, Na Lin, Jie Wei

“…Machine learning models, particularly SVM (area under the curve, AUC = 0.950), prioritized CD79A and GADD45A as key predictors of hospitalization. …”
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El Aprendizaje-Servicio Universitario en la Educación Física escolar: una revisión sistemática (University Service-Learning in school Physical Education: A Systematic Review) by Olatz Bastarrica, María Teresa Vizcarra Morales, Judit Martínez-Abajo, Ana Luisa López-Vélez

“…The service proposals were mostly addressed to populations with functional or cultural diversity. Key words: systematic literature review, service learning, initial formation, motor game, body expression. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…The hidden layer activation functions are key to ANN model performance, yet common activation functions usually suffer from problems such as gradient vanishing (e.g., Sigmoid and Tanh) and dying neurons (e.g., ReLU). …”
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Exclusive breastfeeding is associated with the gut microbiome maturation in infants according to delivery mode by Nathalia F. Naspolini, Paulo A. Schüroff, Pedro A. R. Vanzele, Davi Pereira-Santos, Tamires Amabili Valim, Kevin S. Bonham, André Fujita, Maria Rita Passos-Bueno, Patricia C. B. Beltrão-Braga, André C. P. L. F. Carvalho, Vanja Klepac-Ceraj, Guilherme V. Polanczyk, Alline C. Campos, Carla R. Taddei

“…In this study, we applied whole metagenomic sequencing to assess the gut microbiome assembly in 525 Brazilian infants from 3 to 9 months of age of the Germina Cohort, demonstrating the early determinants of microbial taxonomy and function modulation. Our analysis shows that EBF alters the relative abundance of genes related to the microbiome taxonomy and function, with effects varying by delivery mode. …”
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The awareness, characterization, and burden of Cognitive Impairment Associated with Schizophrenia (CIAS) in clinical practice: Results from a nationwide survey in Italy by Antonio Vita, Stefano Barlati, Roberto Cavallaro, Riccardo Cipelli, Giulio Corrivetti, Dario Delmonte, Eleonora Lusito, Elisabetta Maia, Maria Michela Marino, Giuseppe Nicolò, Paola Rocca, Silvana Galderisi

“…Introduction: Cognitive Impairment (CIAS) is a core aspect of schizophrenia and one of the main obstacles to clinical and functional recovery in patients. People with CIAS have difficulties with learning and using information in real world. …”
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The Impact of COVID-19 in Brazil Through an Educational Neuroscience Lens: A Preliminary Study by Camila G. Fonseca, Camila L. L. Dias, Marcus L. L. Barbosa, Maria Julia Hermida, Luiz Renato R. Carreiro, Alessandra G. Seabra

“…In countries like Brazil, with significant educational inequality, the suspension of in-person classes worsened these disparities, as low-income families faced difficulties accessing remote learning. <b>Methods:</b> This study evaluated executive functions (EF) and academic skills in reading, writing, and maths for 178 public school students from the first to ninth grades in São Paulo, Brazil, comparing them with pre-pandemic norms to assess possible differences. …”
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Seed-based resting-state connectivity as a neurosignature in fibromyalgia and depression: a narrative systematic review by Betina Franceschini Tocchetto, Betina Franceschini Tocchetto, Andrea Cristiane Janz Moreira, Andrea Cristiane Janz Moreira, Álvaro de Oliveira Franco, Álvaro de Oliveira Franco, Iraci L. S. Torres, Felipe Fregni, Wolnei Caumo, Wolnei Caumo, Wolnei Caumo

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Parkinsonian central pain is linked to the connectivity of the nucleus accumbens and the anterior insula by Karel Joineau, Mathilde Boussac, Patrice Peran, David Devos, Jean Luc Houeto, Sophie Drapier, David Maltete, Jesus Aguilar, Estelle Harroch, Margherita Fabbri, Clémence Leung, Fabienne Ory-Magne, Melissa Tir, Christine Tranchant, Hayet Salhi, Solène Frismand, Frederique Fluchere, Ana Marques, Olivier Rascol, Emeline Descamps, Christine Brefel-Courbon

“…Levodopa and oxycodone had no specific effects on functional connectivity. Responders had a decrease in connectivity between the anterior insula and the posterior cingulate cortex, while non-responders showed an increase in connectivity.The correlation between pain intensity and specific brain connectivity may represent a “hyper-awareness” of pain and a distortion of learning and memory systems in PD patients with central pain, leading to a state of chronic pain. …”
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A Two-Stage Three-Machine Flow Shop Assembly Problem Mixed with a Controllable Number and Sum-of-Processing Times-Based Learning Effect by Simulated Annealing Algorithms by Shang-Chia Liu

“…This study focuses on the two-stage three-machine flow shop assembly problem mixed with a controllable number and sum-of-processing times-based learning effect, in which the job processing time is considered to be a function of the control of the truncation parameters and learning based on the sum of the processing time. …”
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Electroacupuncture Improves Learning and Memory Impairment in Rats with Cerebral Ischemia/Reperfusion Injury by Promoting Microglia/Macrophage M2 Polarization Through Nrf2/HO-1 Pat... by Xiao Y, Bai Y, Sun K, Wan J, Chen L, Chen S, Wang Y, Li W, Liu A

“…Protein expression levels of the Nrf2/HO-1 signaling pathway and microglial/macrophage polarization were determined using ELISA, immunofluorescence double-labeling, Western blotting (WB), and real-time quantitative polymerase chain reaction PCR (qRT-PCR).Results: EA significantly enhanced learning and memory function in rats by upregulating NRF2/HO-1 expression and promoting M2 polarization of microglia/macrophages. …”
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Pediatric Low Vision Management by Sunita Lulla Gur

“…Vision is responsible for 80 -90% of what the child learns during first 6 years of life and promotes growth and development. …”
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A Bottleneck Hypothesis Test: L1 American English Learners’ Comprehension of Morphology and Syntax in L2 Urdu by Dr. Karishma Khatoon Karishma Khatoon

“…The Bottleneck Hypothesis examines what is difficult and easy to learn in L2. According to the hypothesis, acquiring a second language functional morphology is more challenging than syntax. …”
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Behavioral Dynamics Analysis in Language Education: Generative State Transitions and Attention Mechanisms by Qi Zhang, Yiming Qian, Shumiao Gao, Yufei Liu, Xinyu Shen, Qing Jiang

“…A central innovation is the introduction of a generative loss function, which jointly optimizes sentiment prediction and behavior analysis, enhancing the adaptability of the model to diverse learning scenarios. …”
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Identifying Optimal Pitch Training Load in Elite Soccer Players by Adriano Titton, Elias de França, Luís Branquinho, Luís Fernando Leite de Barros, Pedro Campos, Felipe O. Marques, Igor Phillip dos Santos Glória, Erico Chagas Caperuto, Vinicius Barroso Hirota, José E. Teixeira, Nelson Valente, Pedro Forte, Ricardo Ferraz, Ronaldo Vagner Thomatieli-Santos, Israel Teoldo

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Sensory Modality in Students Enrolled in a Specialized Training Program for Security Forces and Its Impact on Karate Performance Indicators by Ivan Uher, Ján Pivovarník, Mária Majherová

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XAIHO: explainable AI leveraging hybrid optimized framework for liver cirrhosis detection by Prashant Kumar Mishra, Brijesh Kumar Chaurasia, Man Mohan Shukla

“…Conventional approaches often rely on invasive procedures and lack transparency, while existing DL models, although accurate, function as black boxes and limit clinical trust. To bridge this gap, the research initially explored machine learning (ML) models and then integrated XAI techniques to improve model explainability. …”
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Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics by Brynn Noble, Zak Ratajczak

“…We compared two machine learning models—support vector machines and random forests—implemented in R using large training and evaluation data sets. …”
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