THE EFFECT OF HIGH INTENSITY INTERVAL TRAINING (HIIT) ON SHORT-TERM MEMORY AMONG MEDICAL STUDENT OF DIPONEGORO UNIVERSITY by Nadia Ayu Octaviani, Sumardi Widodo, Arinta Puspita Wati, Tanjung Ayu Sumekar

“…HIIT has been known that can improve cognitive function. Medical students has low physical activity that can affect on cognitive function including short-term memory. …”
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Development of an analog topology for a multi-layer neuronal network by Luã da Porciuncula Estrela, Marlon Soares Sigales, Elmer A. Gamboa Peñaloza, Marcelo Lemos Rossi, Mateus Beck Fonseca

“…The neural network model based on the XNOR logic function was simulated using a simulation program with integrated circuit emphasis (SPICE), demonstrating its learning capability as the error decreased for each epoch of training. …”
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TTPRNet: A Real-Time and Precise Tea Tree Pest Recognition Model in Complex Tea Garden Environments by Yane Li, Ting Chen, Fang Xia, Hailin Feng, Yaoping Ruan, Xiang Weng, Xiaoxing Weng

“…Furthermore, the model integrates a counting function, enabling precise tallying of pest numbers and types and thus offering practical solutions for accurate identification in complex field conditions.…”
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A novel interpreted deep network for Alzheimer’s disease prediction based on inverted self attention and vision transformer by Wardah Ibrar, Muhammad Attique Khan, Ameer Hamza, Saddaf Rubab, Omar Alqahtani, M. Turki-Hadj Alouane, Sokea Teng, Yunyoung Nam

“…AD causes memory loss and disturbing mental function impairment in aging people. The loss of memory and disturbing mental function brings a significant load on patients as well as on society. …”
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Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search by Sooin Kim, Seonghyun Min, Wongyum Kim, Donghoon Kim, Doosung Hwang

“…Their optimization of the loss function and the non-differentiable sign function can lead to inadequate backpropagation learning, resulting in hash codes that may be challenging for similarity preserving. …”
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The effect of acute exercise on cognition by Blanka Dwojaczny, Sergii Iermakov, Tatiana Yermakova, Mirosława Cieślicka

“…We have not observed influence of acute exercise on Stroop test (executive function) results.…”
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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…Additionally, a custom loss function incorporating weighted binary cross-entropy and weighted IoU loss is utilized to emphasize challenging pixels. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…The study employed the batch collection of training samples utilizing experience replay and a double-network mechanism, along with the preprocessing of neural network state inputs, and the investigation into feasible regions within the action space using a variable ε-greedy strategy. A loss function based on the value function was then constructed, and network parameters were updated iteratively by a batch gradient descent method. …”
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TransRNetFuse: a highly accurate and precise boundary FCN-transformer feature integration for medical image segmentation by Baotian Li, Jing Zhou, Fangfang Gou, Jia Wu

“…Furthermore, this paper introduces an edge enhancement loss function to enhance the model's sensitivity to tumor boundaries. …”
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Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification by Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz

“…Abstract Thyroid disease classification is a critical challenge in medical diagnostics, requiring accurate differentiation between hyperthyroidism, hypothyroidism, and normal thyroid function. This study introduces an advanced machine learning approach that integrates generative adversarial networks (GANs) for data augmentation and Kolmogorov-Arnold networks (KANs) for classification. …”
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Mobile malware detection method using improved GhostNetV2 with image enhancement technique by Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning

“…Abstract In recent years, image-based feature extraction and deep learning classification methods are widely used in the field of malware detection, which helps improve the efficiency of automatic malicious feature extraction and enhances the overall performance of detection models. …”
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Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks by Chamod Samarajeewa, Daswin De Silva, Milos Manic, Nishan Mills, Prabod Rathnayaka, Andrew Jennings

“…Crowd monitoring is a primary function in diverse industrial domains, such as smart cities, public transport, and public safety. …”
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Depression is not the only cause of cognitive impairment in chronic migraine by N. V. Latysheva, E. G. Filatova, D. V. Osipova

“…All patients filled in the Hospital Anxiety and Depression Scale (HADS) and Sheehan Disability Scale. Cognitive function was assessed with the Montreal Cognitive Assessment (MoCA), Digital Symbol Substitution Test (DSST), Rey Auditory Verbal Learning Test (RAVLT), and the Perceived Deficits Questionnaire (PDQ-20).Results. …”
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Application of artificial intelligence in echocardiography from 2009 to 2024: a bibliometric analysis by Yangli Liu, Lei Zhao, Bin Tu, Jie Wang, Yaqun He, Rufang Jiang, Xiaofeng Wu, Wen Wen, Jian Liu

“…Keyword analysis revealed that terms such as “artificial intelligence,” “machine learning,” “deep learning,” and “echocardiography” are central research hotspots, indicating emerging trends in the field and the potential to evolve into major areas of future investigation.ConclusionOver the past decade, the integration of AI with echocardiography has become increasingly sophisticated. …”
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Motivational Climate, Satisfaction, and Intrinsic Motivation in University Students After the Application of a Gamified Intervention Using Traditional Sports Games by Gea-García Gemma María, Martínez Eduardo López

“…Gamified learning environments are widely used within the educational context in the subject of Physical Education. …”
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A data-driven cost estimation model for agile development based on Kolmogorov-Arnold Networks and AdamW optimization by Xiaoyan Zhao, Xin Xiong, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Liangyu Li

“…Traditional estimation methods and existing machine learning models often fail to adapt effectively to the dynamic agile environment. …”
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Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients by Jianan Zheng, Haoran Lin, Wei Ye, Mingjun Du, Chenjun Huang, Jun Fan

“…Multiple machine learning algorithms were systematically compared in order to develop an optimal prognostic model. …”
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Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases by YANG Banghua

“…To address the poor generalization issues in traditional machine learning algorithms at the individual level of stroke patients, MI-BCI rehabilitation training system is built on the transfer learning technology. …”
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Exploring the mechanism of berberine treatment for atherosclerosis combined with non-alcoholic fatty liver disease based on bioinformatic and experimental study. by Shushu Wang, Kachun Lu, Liwen Lin, Gaijie Li, Yuxin Han, Zhichao Lin, Qingmin Chu, Kunsheng Wu, Peijian Liu, Guiting Zhou, Rui Peng, Chuanjin Luo

“…Through transcriptome analysis, WGCNA, and machine learning, this study identified 48 key genes involved in both AS and NAFLD. …”
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Sodium Houttuyfonate Ameliorates β-amyloid1-42-Induced Memory Impairment and Neuroinflammation through Inhibiting the NLRP3/GSDMD Pathway in Alzheimer’s Disease by Yuequan Zhao, YunPeng Tian, Tao Feng

“…Our research is designed to explore the function of sodium houttuyfonate (SH) on Alzheimer’s disease (AD) and its potential molecular mechanisms. …”
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