Mapping out overlapping connectivity patterns by Myrthe Faber, Koen V Haak

“…Untangling the functional organisation of a brain region crucial for memory and learning helps reveal how individual differences are linked to variations in recall ability, aging and dopamine receptor distribution.…”
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Dose–Response Functions for Assessing Corrosion Risks to Urban Heritage Materials from Air Pollution Under Climate Change: Insights from Europe and China by Zhe Bai, Yu Yan

“…Urban heritage materials face accelerated decay due to the synergistic effects of air pollution and climate change. Dose–response functions (DRFs) have emerged as a key tool to quantify and predict these risks. …”
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A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n by Lei Yang, Wenhao Cui, Jingqian Li, Guotao Han, Qi Zhou, Yubin Lan, Jing Zhao, Yongliang Qiao

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Software Support for the Higher Mathematics Course at the Technical University by Oleksii Viktorovych Bogdanov, Yurii Pavlovych Butsenko, Olena Ivanivna Balina, Iryna Srhiivna Bezklubenko

“…The study provides practical examples, such as plotting functions, finding asymptotes, and interpolation techniques, demonstrating how Scilab can aid in solving complex mathematical problems. …”
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A randomized controlled study on the effect of intermittent theta burst stimulation on craving, mood, and cognitive function in alcohol-dependent patients during the withdrawal per... by WANG Haihong, YUAN Chenxin, GAN Hong, JIANG Haifeng, ZHAO Yan, DU Jiang, ZHANG Yi

“…Objective·To explore the effect of intermittent theta burst stimulation (iTBS) targeting the left dorsolateral prefrontal cortex (DLPFC) on reducing craving in alcohol-dependent patients during the withdrawal period, as well as its impact on patients' emotions and cognitive functions.Methods·A total of 41 inpatients with alcohol dependence in the withdrawal period were recruited from the Addiction Department of Mental Health Center, Shanghai Jiao Tong University School of Medicine, and randomly assigned to the experimental group (20 patients) and the control group (21 patients). …”
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Preoperative continuation vs. discontinuation of angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers on early cognitive function in elderly patients undergoin... by Xiaohan Wang, Xiaohan Wang, Xiaohan Wang, Xiaohan Wang, Yanan Yan, Yanan Yan, Yurong Liu, Yurong Liu, Chun Xu, Chun Xu, Jingwen Zhuang, Jingwen Zhuang, Jingwen Zhuang, Jingwen Zhuang, Zhiping Wang, Zhiping Wang, Zhiping Wang, Zhiping Wang

“…The primary outcome was postoperative early cognitive function, assessed via neuropsychological tests including Auditory Verbal Learning Test-Huashan (AVLT-H), Clock Drawing Test (CDT), Number Connection Test (NCT), and Digit Span Test (DST) preoperatively and on postoperative day 1 (POD1). …”
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function. by Weilin Cao, Liqiang Zhang

“…Finally, the noise-aware loss function (NALF) is designed to avoid the phenomenon of the conduction model being prone to making wrong decisions due to excessive noise. …”
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Adaptive Nonlinear Proportional–Integral–Derivative Control of a Continuous Stirred Tank Reactor Process Using a Radial Basis Function Neural Network by Joo-Yeon Lee, Gang-Gyoo Jin, Gun-Baek So

“…The network’s ability to approximate nonlinear functions and its online learning capabilities are leveraged by effectively integrating an NPID control scheme with a radial basis function neural network (RBFNN). …”
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Vehicle Lateral Control Based on Augmented Lagrangian DDPG Algorithm by Zhi Li, Meng Wang, Haitao Zhao

“…The actor-critic neural network based reinforcement learning framework is established and the environment of reinforcement learning is designed to include the vehicle model, tracking model, road model and reward function. …”
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Optimization of signal control at ramp adjacent intersections based on A2C by SONG Tailong, GUO Mingyang, CHEN Yifan, HE Yulong

“…This study utilizes deep reinforcement learning algorithms for traffic signal control optimization at exit ramps associated with intersection crossings. …”
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Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

“…Brain structural magnetic resonance image (MRI) is a very useful way to learn about the structure and function of the brain. …”
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Acute effect of low-intensity aerobic exercise on eliciting enhanced parietal activation and promoting executive function performance more than moderate-intensity exercise by Shen Lingling, Chen Huaqing, Li Xuan, Cai Jichen, Li Chenxi, Wang Chuhuai

“…IntroductionAerobic exercise intensity differentially impacts cognitive function and brain activity, but the optimal intensity for enhancing cognitive function and cortical activity remains unclear. …”
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The cross‐sectional association of cognitive stimulation factors and cognitive function among Latino adults in Hispanic Community Health Study/Study of Latinos (HCHS/SOL) by Priscilla M. Vásquez, Wassim Tarraf, Adit Doza, Maria J. Marquine, Krista M. Perreira, Neil Schneiderman, Donglin Zeng, Jianwen Cai, Carmen R. Isasi, Martha L. Daviglus, Hector M. González

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Comparative Analysis of VGG16 and ResNet50 Model Performence in Cardiac ECG Image Classification by Hanif Rizaqi, Imam Tahyudin

“…The data underwent preprocessing steps including resizing to 224×224 pixels, pixel normalization to a 0–1 range, label encoding, one-hot encoding, and an 80:20 split for training and testing. Transfer learning was applied using feature representations from the VGG16 and ResNet50 models, employing the Adam optimizer and categorical cross-entropy loss function. …”
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The Significance of Personality-Oriented Technology in Higher Education in Ukraine by Olha Dienichieva, Iryna Biliak, Natalia Plakhotniuk, Тetiana Verhun, Kateryna Parnus

“…The research focuses on analyzing the application of digital tools, adaptive learning platforms, and AI-based educational resources to enhance individualized learning processes and support student engagement. …”
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Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

“…Traditional studies on myocarditis often rely on supervised learning, which faces challenges such as the need for large, well-labeled datasets. …”
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Does androgen deprivation impact associations between cognition and strength, fitness and function in community-dwelling men with prostate cancer? A cross-sectional study by Helen Macpherson, Robin M Daly, Patrick J Owen, Niamh L Mundell, Steve F Fraser, Jack Dalla Via

“…A secondary aim was to compare differences in the prevalence of cognitive impairment.Design This cross-sectional study compared 70 ADT-treated men with PCa aged 50–85 years to non-ADT-treated men (n=52) and non-PCa controls (n=70).Setting University clinical exercise laboratory.Interventions Nil.Primary and secondary outcome measures Standardised assessments were conducted for cognition (learning, memory, attention, processing speed and executive function), muscle strength (grip strength and leg press), fitness (400 m walk), gait speed (4 m walk) and dual-tasking mobility (timed-up-and-go with a cognitive task).Results ADT-treated men showed stronger associations between fitness and executive function and task switching relative to controls (both: p≤0.03). …”
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Supporting implementation of universal prevention initiatives in K-12 schools: impacts on fidelity through organizational readiness and team functioning in a cluster-randomized tri... by Christopher M. Fleming, Hannah G. Calvert, Lindsey Turner

“…Abstract Background Rural School Support Strategies (RS3) is a bundle of implementation supports (including training, technical assistance, and a virtual learning collaborative) designed for the scale-up of universal prevention initiatives. …”
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Combined treatment with Ginkgo biloba extract EGb 761 plus acetylcholinesterase inhibitors improved cognitive function and neuropsychiatric symptoms in patients with mild cognitive... by José María García‐Alberca, Esther Gris, Silvia Mendoza

“…Mixed‐effects model analysis was carried out to evaluate changes in cognitive, functional, and behavioral outcomes over a 12‐month follow‐up. …”
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Automated Welder Safety Assurance: A YOLOv3-Based Approach for Real-Time Detection of Welding Helmet Availability by Mohammad Z. Shanti, Chan Yeob Yeun, Chung-Suk Cho, Ernesto Damiani, Tae-Yeon Kim

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