3,3′-Diindolylmethane improves pathology and neurological outcome following traumatic brain injury by Carlos A. Dallera, Fabiola Placeres-Uray, Patrizzia Mastromatteo-Alberga, Maria Dominguez-Torres, Alyssa F. Balleste, Aditi S. Gorthy, Tyler S. Rahimzadeh, Isabelle Aliancin, W. Dalton Dietrich, Juan Pablo de Rivero Vaccari, Irwin C. Jacobs, Elizabeth A. Chlipala, Hannah Benton, Michael A. Zeligs, Coleen M. Atkins

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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

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Multidimensional morphological analysis of live sperm based on multiple-target tracking by Hao Yang, Mengmeng Ma, Xiangfeng Chen, Guowu Chen, Yi Shen, Lijun Zhao, Jianfeng Wang, Feifei Yan, Difeng Huang, Huijie Gao, Hao Jiang, Yuqian Zheng, Yu Wang, Qian Xiao, Ying Chen, Jian Zhou, Jie Shi, Yi Guo, Bo Liang, Xiaoming Teng

“…In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. …”
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Chinese Massage (Tuina) Attenuates Knee Osteoarthritis by Modulating Autophagy-Related Cytokines: A Multidisciplinary Methodological Investigation by Wang Z, Zhao C, Li M, Zhang L, Diao J, Wu Y, Yang T, Shi M, Lei Y, Wang Y, Li M, Bian Y, Zhou Y, Xu H

“…Tuina significantly alleviated pain and improved motor function. SO/FG staining and TEM revealed reduced cartilage destruction, increased cartilage thickness, and decreased chondrocyte autophagy. …”
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基于无监督学习识别吲哚布芬治疗急性中重度缺血性卒中的应答患者 Unsupervised Learning-Based Identification of Responders to Indobufen Treatment in Acute Moderate-to-Severe Ischemic Stroke... by 蒲善宇，潘岳松，王拥军 (PU Shanyu, PAN Yuesong, WANG Yongjun )

“…Abstract: Objective To identify responders with non-inferior efficacy of indobufen compared to aspirin in reducing the risk of stroke recurrence based on unsupervised learning method. Methods Based on the indobufen versus aspirin in acute ischemic stroke (INSURE) study, an unsupervised learning framework constructed using multiple kernel learning for dimensionality reduction and K-means clustering was developed to identify patients whose primary outcomes of indobufen were non-inferior to aspirin in treating acute moderate-to-severe ischemic stroke (i.e., responders). …”
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Efectos de un programa de Aprendizaje-Servicio sobre Ejercicio Físico concurrente con personas adultas-mayores: Pilates y juegos de socialización (Effects of a Concurrent Physical... by Joaquín Ceballos Zúñiga Cano, Teresa Valverde-Esteve, Francisco Tomás González-Fernández, Pedro Jesús Ruiz-Montero

“…Abstract.The aim of this work was to assess the effect of a concurrent Service-Learning intervention program “Pilates and socializing games” on the Physical Condition (Force and Flexibility of the higher and lower limbs, Agility and Cardiorespiratory capacity), Health related Quality of Life (Physical Function, Physical Role, Body Pain, General Health, Vitality, Social Function, Emotional Role, Mental Health) and subjective happiness (measuring four items) of older adults. …”
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Public health workforce management during a major organizational reform in the World Health Organization African Region Country Offices by Egide Rwamatwara, Abdulmumini Usman, Ndoungou Salla Ba, Patrick Kabore, Hyelni Kulausa, Olushayo Oluseun Olu, Alex Gasasira, Joseph Cabore, Matshidiso Moeti

“…It also reviews the steps taken to strengthen country offices human resource capacities in line with the functional review objectives and draws attention to the challenges, good practices, and lessons learned in managing organizational change during institutional reform.…”
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An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities by Yuanyuan Zhang, Manli Tian, Baolin Liu

“…IntroductionRecently, numerous studies have focused on the semantic decoding of perceived images based on functional magnetic resonance imaging (fMRI) activities. …”
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Deep linear matrix approximate reconstruction with integrated BOLD signal denoising reveals reproducible hierarchical brain connectivity networks from multiband multi-echo fMRI by Wei Zhang, Wei Zhang, Alexander Cohen, Michael McCrea, Pratik Mukherjee, Pratik Mukherjee, Yang Wang

“…The hierarchical modular functional structure in the human brain has not been adequately depicted by conventional functional magnetic resonance imaging (fMRI) acquisition techniques and traditional functional connectivity reconstruction methods. …”
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From network biology to immunity: potential longitudinal biomarkers for targeting the network topology of the HIV reservoir by Heng-Chang Chen

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Engineering of educational programs through the application of intelligent technologies by Mikhail S. Gasparian, Sergey A. Lebedev, Yury F. Telnov

“…The methods of semantic modeling of informational and educational space, allowing to systematize the knowledge of the professional area in the form of conceptual models of ontologies and repositories of learning objects are offered as the methods of engineering.As the result of the correlation analysis of the categories of existing educational and professional standards, the mechanism to overcome the contradictions between the language of professional competences of educational standards and requirements of the labour functions of the professional standards is proposed. …”
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GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information by Kusal Debnath, Pratip Rana, Preetam Ghosh

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CNN for Computer Vision tasks by Р. Ковальчук, О. Польшакова

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A Multi-Strategy Improved Honey Badger Algorithm for Engineering Design Problems by Tao Han, Tingting Li, Quanzeng Liu, Yourui Huang, Hongping Song

“…MIHBA achieves the best ranking in 23 test functions and 4 engineering design problems. The improvement of this paper improves the convergence speed and accuracy of the algorithm, enhances the adaptability and solving ability of the algorithm to complex functions, and provides new ideas for solving complex engineering design problems.…”
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Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI by Satyabrata Pattanayak, Tripty Singh, Rishabh Kumar

“…To optimize the model’s performance, we experimented with different combinations of loss functions, optimizer functions, and activation functions. …”
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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

“…These models rely heavily on useful descriptors of chemical compounds that effectively capture important information about the underlying compounds for constructing accurate prediction functions. In this article, we introduce quadratic descriptors, the products of two graph-theoretic descriptors, to enhance the learning performance of a novel two-layered compound inference model. …”
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Phase transition mechanism and property prediction of hafnium oxide-based antiferroelectric materials revealed by artificial intelligence by Shaoan Yan, Pei Xu, Gang Li, Yingfang Zhu, Yujie Wu, Qilai Chen, Sen Liu, Qingjiang Li, Minghua Tang

“…This strategy integrates density functional theory (DFT) with machine learning (ML) techniques to swiftly screen HfO2 materials exhibiting stable antiferroelectric properties based on the critical electric field. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…We then conducted a functional prediction analysis on these genes using four machine learning models, complemented by GSVA enrichment analysis.ResultsOut of the data, 40 DEGs were identified, primarily linked to cytokine signaling, lipopolysaccharide response, and chemokine pathways. …”
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Relative importance of social factors linked to academic achievement in the 1st grade by Šarūnė Magelinskaitė-Legkauskienė, Visvaldas Legkauskas, Albina Kepalaitė

“…The present study was aimed at investigating aspects of social functioning linked to academic achievement in the 1st grade. …”
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Effects of Early Life Stress on Neuroendocrine and Neurobehavior: Mechanisms and Implications by Ming-Chi Lai, Li-Tung Huang

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