Transcranial photobiomodulation improves functional brain networks and working memory in healthy older adults: An fNIRS study by Qin Yang, Xiujuan Qu, Can Sheng, Xing Zhao, Guanqun Chen, Xiaoni Wang, Yuxia Li, Wenying Du, Xiaoqi Wang, Yu Sun, Xiaobo Li, Haijing Niu, Ying Han

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Optimization of Academic Services Based on Quality Function Deployment: An Integration Study of Servqual Method at Graha Nusantara University by Fitri Romaito Lubis, Martua Siregar, Yusniar Harahap, Bayo Harahap, Fitrah Suci Azzahra

“…The research recommends improving cleaning systems, developing health facilities, modernizing laboratories, and implementing problem-based learning. …”
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Analysis of Approximation by Linear Operators on Variable Lρp(·) Spaces and Applications in Learning Theory by Bing-Zheng Li, Ding-Xuan Zhou

“…This paper is concerned with approximation on variable Lρp(·) spaces associated with a general exponent function p and a general bounded Borel measure ρ on an open subset Ω of Rd. …”
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Kriging-Based Time-Variant Reliability Analysis Incorporating Error Distance Function and First Crossing Time Point by Fuhong Yu, Xiao Wu, Shui Yu

“…To address the time-variant reliability (TVR) issue during a structure’s life cycle, we propose an innovative Kriging method named EDFK-FCTP. This active-learning TVR analysis is based on an error distance function (EDF) and the first crossing time point (FCTP). …”
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A Dynamic Interference Detection Method of Underwater Scenes Based on Deep Learning and Attention Mechanism by Shuo Shang, Jianrong Cao, Yuanchang Wang, Ming Wang, Qianchuan Zhao, Yuanyuan Song, He Gao

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Innovative Telecom Fraud Detection: A New Dataset and an Advanced Model with RoBERTa and Dual Loss Functions by Jun Li, Cheng Zhang, Lanlan Jiang

“…Existing prevention methods, such as mobile number tracking, detection, and traditional machine-learning-based text recognition, struggle in terms of their real-time performance in identifying telecom fraud. …”
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DCA-YOLOv8: A Novel Framework Combined with AICI Loss Function for Coronary Artery Stenosis Detection by Hualin Duan, Sanli Yi, Yanyou Ren

“…In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. …”
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A novel spectral transformation technique based on special functions for improved chest X-ray image classification. by Abeer Aljohani

“…Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”
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Enhancing Smart City Functions through the Mitigation of Electricity Theft in Smart Grids: A Stacked Ensemble Method by Muhammad Hashim, Laiq Khan, Nadeem Javaid, Zahid Ullah, Ifra Shaheen

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Apoptosis-associated genetic mechanisms in the transition from rheumatoid arthritis to osteoporosis: A bioinformatics and functional analysis approach by Hao-Ju Lo, Chun-Hao Tsai, Tsan-Wen Huang

“…Machine learning methods, including Lasso and Random Forest, refined the selection of key genes related to apoptosis. …”
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Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks by Dehua Zhang, Lei Meng, Yao Hao, Ruixue Xia

“…To improve system resilience and achieve swift recovery without depending on fault detection, a passive Fault-Tolerant Control (FTC) approach is developed, combining Sliding Mode Control (SMC) with Radial Basis Function (RBF) neural networks. The RBF network, utilizing its robust approximation abilities, is applied to dynamically estimate system uncertainties, thereby alleviating the chattering issue typical of traditional SMC and minimizing its negative effects on system reliability and operation. …”
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Impact of Aluminium Chloride (AlCl₃) on Brain Function: A Review of Neurotoxic Mechanisms and Implications for Alzheimer's Disease by Amtul Rahman, Zeenath Banu

“…AlCl3 disrupts normal brain function, potentially leading to oxidative stress, inflammatory responses, and cognitive decline, all of which are implicated in AD pathology. …”
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The hidden link: Investigating functional connectivity of rarely explored sub-regions of thalamus and superior temporal gyrus in Schizophrenia by Alahmadi Adnan, Al-Ghamdi Jamaan, Tayeb Haythum O.

“…This accentuated functional connectivity potentially influences these sub-regions, contributing to dysfunctions and manifesting symptoms such as language and learning difficulties alongside hallucinations. …”
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Reliability Assessment of Functional Balance Tests in Semi-Professional Adolescent and Young Girls of Several Selected Sport Fields by Shamin Ghandili, Heydar Sadeghi

“…Therefore, the aim of this study was to assess reliability of functional balance tests in semi-professional adolescent and young girls of several selected sports. 66 semi-professional athletes of badminton, basketball and taekwondo from two groups of adolescents (10-15 years old) and young subjects (20-30 years old) who had a general health participated in this study. …”
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High intensity interval training and selenium nanoparticles protect hippocampal neurons and enhance cognitive function in diabetic rats by Kimia Aliakbari, Payam Saidie

“…Cognitive function was assessed using the Morris water maze test. …”
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Visual-motor function disorders in children who survived acute lymphoblastic leukemia and central nervous system tumors by A. A. Deviaterikova

“…These declines can later have a negative impact on learning, so they require additional rehabilitation measures aimed at restoring visual‑motor functions.…”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

“…By introducing Lagrange multipliers and a reconstructed dual function, the non-convex optimization problem was transformed into a convex optimization problem of the dual function, ensuring the global optimality of the algorithm. …”
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Gaze and Movement Assessment (GaMA): Inter-site validation of a visuomotor upper limb functional protocol. by Heather E Williams, Craig S Chapman, Patrick M Pilarski, Albert H Vette, Jacqueline S Hebert

“…The Gaze and Movement Assessment (GaMA) was developed to provide protocols for simultaneous motion capture and eye tracking during the administration of two functional tasks, along with data analysis methods to generate standard measures of visuomotor behaviour. …”
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Robotic-Assisted Gait Training Combined with Multimodal Rehabilitation for Functional Recovery in Acute Dermatomyositis: A Case Report by Wilmer Esparza, Rebeca Benalcazar-Aguilar, Gabriela Moreno-Andrade, Israel Vinueza-Fernández

“…Advanced technologies show promise for functional recovery in inflammatory myopathies.…”
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Neural Correlates of Flight Acceleration in Pigeons: Gamma-Band Activity and Local Functional Network Dynamics in the AId Region by Suchen Li, Zhuo Tang, Mengmeng Li, Lifang Yang, Zhigang Shang

“…Furthermore, using LFP signals from five distinct frequency bands as input, machine learning models were developed to decode flight acceleration, further confirming the role of gamma-band dynamics in motor regulation during natural flight. …”
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