Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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Prediction of Urban Rail Transit Train Door Faults Based on FOA-BP Neural Network Model by WEN Kaiyue, QIU Weibin, DING Xianze, OU Hongxiang

“…[Result & Conclusion] The FIR filter+Hanning Window function method can effectively remove the interference of high-frequency noise and retain the low-frequency signal part that can correctly reflect the current change trend. …”
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Could Perinatal Asphyxia Induce a Synaptopathy? New Highlights from an Experimental Model by María Inés Herrera, Matilde Otero-Losada, Lucas Daniel Udovin, Carlos Kusnier, Rodolfo Kölliker-Frers, Wanderley de Souza, Francisco Capani

“…Birth asphyxia also termed perinatal asphyxia is an obstetric complication that strongly affects brain structure and function. Central nervous system is highly susceptible to oxidative damage caused by perinatal asphyxia while activation and maturity of the proper pathways are relevant to avoiding abnormal neural development. …”
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Latent Space Classification for Cardiovascular Disease Detection: A Deep Convolutional Autoencoder-Based Approach for Telemedicine Applications by G Antoni Gracy, Sheena Christabel Pravin

“…Cardiovascular disease is a leading global cause of mortality, often due to abnormal heart function. Early detection and timely treatment are essential to prevent fatalities. …”
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Process empowerment for robust intrinsic motivation by Stas Tiomkin, Christoph Salge, Daniel Polani

“…The ability to causally affect environment by agent’s actions is crucial for learning meaningful behavior and survival. Empowerment is an information-theoretic approach to intrinsically discover this causality between actions and observations without externally provided domain expertise such as a reward function. …”
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Analysis of the Human Interaction with a Wearable Lower-Limb Exoskeleton by Juan C. Moreno, Fernando Brunetti, Enrique Navarro, Arturo Forner-Cordero, José L. Pons

“…The lower-limb exoskeleton function was to compensate for muscle weakness around the knee joint. …”
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DiffFormer: A Differential Spatial-Spectral Transformer for Hyperspectral Image Classification by Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

“…In addition, a token-based classification head ensures robust representation learning, facilitating precise pixelwise labeling. …”
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Takbiran Festival: Cultural Public Sphere and its Contribution in The Social Media Era by Puji Rianto, Khumaid Akhyat Sulkhan, Titin Setiawati

“…This research also found that festivals are an important medium for cultural learning between generations and contribute to building social integration. …”
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Quantifying Sleep Quality Through Delta-Beta Coupling Across Sleep and Wakefulness by Gi-Hwan Shin, Young-Seok Kweon, Minji Lee, Ki-Young Jung, Seong-Whan Lee

“…Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the immune system. Sleep quality (SQ) is vital for physiological and mental health, making its understanding and accurate assessment critical. …”
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Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application by Asrirawan, Khairil Anwar Notodiputro, Budi Susetyo, Sachnaz Desta Oktarina

“…Hierarchical mixed-effects models with three trees—3Trees models—are a new advanced statistical learning approach in mixed-effect modeling. These methods utilize the classification and regression trees (CART) algorithm to select the best tree through a backfitting algorithm. …”
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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…An optimized loss function refines bounding box matching for small targets, while a pruning strategy removes redundant filters, boosting computational efficiency. …”
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Essential visual skills required for boxing: A review by S’bongile Mahlangu, Musa L. Mathunjwa, Lourens Millard, Gerrit J. Breukelman

“…A comprehensive keyword search was conducted, searching Medical Subject Headings (MeSH) ‘visual skills’, ‘hand-eye coordination’, ‘peripheral vision’, ‘eye movements’, ‘boxing’, ‘boxing rules’, ‘reaction time’, ‘speed of recognition’, ‘accommodation facility’, ‘visual memory’, ‘combat sport’, ‘depth perception’, ‘motor learning’, and ‘cognitive function’. Results: A total of 35 full-text English-language articles were included in the review after the removal of duplicates and the full-text review process. …”
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Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles by Loay Alfeqy, Hossam E. Hassan Abdelmunim, Shady A. Maged, Diaa Emad

“…The proposed method introduces a novel association strategy that incorporates structural similarity into the cost function, enabling effective data fusion between 2D camera detections and 3D LiDAR detections for robust track recovery during short occlusions by leveraging LiDAR depth. …”
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Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm by Jian Ma, Weidong Yan, Guoqi Liu, Shiyu Xing, Siqi Niu, Tong Wei

“…Deep learning has achieved good results in the crack detection of roads and bridges. …”
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Gaitformer: a spatial-temporal attention-enhanced network without softmax for Parkinson’s disease early detection by Shupei Jiao, Hua Huo, Wei Liu, Changwei Zhao, Lan Ma, Jinxuan Wang, Ningya Xu, Chen Zhang, Dongfang Li

“…By analyzing parameters such as pressure distribution, gait cycles, and gait features of the foot sole, we aim to evaluate an individual’s gait function and detect and diagnose gait-related diseases such as Parkinson’s disease. …”
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Molecular and cognitive signatures of ageing partially restored through synthetic delivery of IL2 to the brain by Pierre Lemaitre, Samar HK Tareen, Emanuela Pasciuto, Loriana Mascali, Araks Martirosyan, Zsuzsanna Callaerts‐Vegh, Suresh Poovathingal, James Dooley, Matthew G Holt, Lidia Yshii, Adrian Liston

“…These results identify immune modulation as a potential path to preserving cognitive function for healthy aging.…”
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3-D Model Extraction Network Based on RFM-Constrained Deformation Inference and Self-Similar Convolution for Satellite Stereo Images by Wen Chen, Hao Chen, Shuting Yang

“…To address these problems, we propose a 3-D extraction method for SSIs based on self-similar convolution and a deformation inference network constrained by a rational function model (RFM). Inspired by the implicit relationship between 2-D image features and 3-D shapes, we construct a 2-D–3-D mapping relationship to mine the depth features of remote-sensing images by incorporating the RFM. …”
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A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

“…Effective feature selection determines the efficiency and accuracy of a learning process, which is essential in human activity recognition. …”
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Indicators and Components of Religious Education Curriculum in Higher Education: A Synthesis Study by Abbas Ghasemian, Hadi pourshafei, Mohsen Ayati, Seyed Mohammad Kazem Alavi

“…Objective: Religious education constitutes a significant component of academic curricula for students. Beyond its function in reinforcing the religious identity of learners, this vital aspect contributes to the realization of additional educational objectives within the higher education framework. …”
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Upper Extremity Tendon Transfers: A Brief Review of History, Common Applications, and Technical Tips by Jason Gardenier, Rohit Garg, Chaitanya Mudgal

“…The concept uses the redundancy/expendability of tendons by utilizing a nonessential tendon to restore the function of a lost or nonfunctional muscle-tendon unit of the upper extremity. …”
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