Subchronic cyanuric acid treatment impairs spatial flexible behavior in female adolescent rats through depressing GluN2B-dependent neuronal and synaptic function by Wei Sun, Haiyang Yu, Xiaoliang Li, Yiwen Wan, Yazi Mei, Yang Yang, Lei An

“…Multiple behavioral tests were employed to assess spatial cognition, learning strategy, locomotion and motivation. Hippocampal synaptic function at Schaffer collaterals-CA1 synapses and excitatory postsynaptic currents (EPSCs) in CA1 pyramidal neurons was evaluated. …”
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Ranking the Components of Algebraic Thinking Model in Sixth-Grade Students during Coronavirus Pandemic Based on Fuzzy Analysis by Zahra Kalati, Mohsen Rostamy-Malkhalife, Mohammad Hassan Behzadi

“…Objective: Studies on teaching and learning algebra point to the fact that algebra is a branch of mathematics that deals with the general notation of relationships between numbers and mathematical structures and also performing operations on those structures. …”
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Student Perceptions and Effectiveness of Video-Based Flipped Classroom for Improving Medical Physiology Teaching at AUSOM by Kottath Veetil P, Kollukkad Mani M, Arja SB, Paramban S, Kattambally PA, Fatteh R, Arja SB

“…Praveen Kottath Veetil,1 Manoj Kollukkad Mani,1,2 Sateesh B Arja,3 Simi Paramban,3 Preetha Alambally Kattambally,4 Reshma Fatteh,5 Sireesha B Arja6 1Human Structure and Function Department, Avalon University School of Medicine, Willemstad, Curacao; 2Department of Anatomy, Sri Balaji Vidyapeeth University, Puducherry, India; 3Medical Education Department, Avalon University School of Medicine, Willemstad, Curacao; 4Department of Psychiatric Nursing, College of Nursing, Thalassery, KL, India; 5Department of Mind, Brain and Behavior, Avalon University School of Medicine, Willemstad, Curacao; 6Department of Disease, Immunity and Therapeutics, Avalon University School of Medicine, Willemstad, CuracaoCorrespondence: Praveen Kottath Veetil, Email drpraveen@avalonu.orgBackground: Medical education has shifted from traditional teaching methods to interactive learning, emphasizing student engagement and critical thinking for enhanced problem-solving skills. …”
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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…These advancements are essential for evaluating muscle function and represent a significant advancement in musculoskeletal biomechanics research.…”
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Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures by Philipp Schubert, Matthias May, Daniel Höfler, Hans-Peter Fautz, Jana Hutter, Ricarda Merten, Sina Mansoorian, Thomas Weissmann, Lisa Deloch, Miriam Schonath, Nathalia Belmas, Felix Grabenbauer, Benjamin Frey, Udo Gaipl, Bernd-Niklas Axer, Juliane Szkitsak, Michael Uder, Christoph Bert, Rainer Fietkau, Florian Putz

“…An expert uro-radiation oncologist contoured erectile function-related anatomy (neurovascular bundles [NVB], pudendal arteries [IPA], penile bulb [PB], corpora cavernosa [CC]) and target structures (prostate [PR], seminal vesicles [SV]). …”
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Posttraumatic Stress Disorder-Related Differences in Neural Connectivity Among Female Trauma Survivors by Natalie C. Noble, Mohammad S.E. Sendi, Julia B. Merker, Samantha R. Linton, Theresa K. Webber, Russell T. Toll, Amit Etkin, Wei Wu, Kerry J. Ressler, Antonia V. Seligowski

“…Using a linear mixed-effects model, functional connectivity of the theta band (4–7 Hz) served as the response variable. …”
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Bayesian Fictitious Play in Oligopoly: The Case of Risk-Averse Agents by Julide Yazar

“…In this paper, we present a novel learning model that extends fictitious play learning to continuous strategy spaces where agents combine their prior beliefs with market price realizations in previous periods to learn the mean and the variance of the aggregate supply function of the rival firms in a Bayesian framework. …”
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Traffic signal optimization control method based on attention mechanism updated weights double deep Q network by Huizhen Zhang, Zhenwei Fang, Youqing Chen, Haotian Dai, Qi Jiang, Xinyan Zeng

“…As a mature deep reinforcement learning algorithm, the double deep Q network has shown a significant optimization effect in intelligent traffic signal control research. …”
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An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

“…Furthermore, the paucity of data diversity leads to a singular function of the model that cannot provide comprehensive decision support for improving maintenance measures. …”
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Gradient Boosting-Based Simultaneous Classification and Regression Approach by Rawabi Alwanin, Ouiem Bchir, Mohamed Maher Ben Ismail

“…The optimization of this dual task is formulated using a novel joint cost function that minimizes the total error of both classification and regression tasks during the learning phase. …”
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Perinatal Mother-to-Child Chikungunya Virus Infection: Screening of Cognitive and Learning Difficulties in a Follow-Up Study of the Chimere Cohort on Reunion Island by Raphaëlle Sarton, Magali Carbonnier, Stéphanie Robin, Duksha Ramful, Sylvain Sampériz, Pascale Gauthier, Marc Bintner, Brahim Boumahni, Patrick Gérardin

“…In this cohort study, we evaluated the cognitive and learning difficulties of school-age children perinatally infected with Chikungunya virus (CHIKV) on Reunion Island using the <i>Evaluation of Cognitive Functions and Learning in Children</i> (EDA) battery screening test compared to the healthy children cohort used for EDA development. …”
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The effect of low-intensity persistence exercise and high-intensity interval training on selective attention, memory, short-term and executive functions in sedentary students durin... by Mehdi Yazdanpanah, Isaac Naderyan

“…Introduction: Attention and memory are fundamental cognitive processes that play a crucial role in learning. The intensity of physical exercise can significantly influence cognitive functions. …”
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Transboundary water rights and conflicts in sub-Saharan Africa: conflict prevention through functional transboundary river basin institution-building in the Southern African Develo... by Dumsani Mndzebele

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Noise Calculation Technique Using Time Varying Model by Saber Izadpanah Tous, Mahmoud Behroozi, Ehsan Kargaran, Hooman Nabovati

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Insulin Like Growth Factor 2 Expression in the Rat Brain Both in Basal Condition and following Learning Predominantly Derives from the Maternal Allele. by Xiaojing Ye, Amy Kohtz, Gabriella Pollonini, Andrea Riccio, Cristina M Alberini

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A Deep Learning Method for Inversing 3D Temperature Fields Using Sea Surface Data in Offshore China and the Northwest Pacific Ocean by Xiangyu Wu, Mengqi Zhang, Qingchang Wang, Xidong Wang, Jian Chen, Yinghao Qin

“…The reconstruction results using the mean square error (MSE) and mean absolute error (MAE) loss functions are highly similar, indicating that these two loss functions have no significant impact on the results, and only in the upper ocean does the MSE value slightly outperform MAE. …”
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Meta_B cells: a computationally identified candidate immunosuppressive driver of gastric cancer metastasis revealed by single-cell analysis and machine learning by Tianchi Lei, Yiwen Jiang, Kexin Yang, Chuqi Meng, Yue An

“…And we constructed a prognostic model via hdWGCNA and LASSO-Cox regression. Functional analyses included GSEA, pseudotime trajectory (Monocle2) and cell-cell communication (CellChat). …”
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Trends in functional limitations among middle-aged and older adults in the Asia-Pacific: survey evidence from 778,507 observations across six countriesResearch in context by Marie Ishida, Sumit Kane, Teralynn Ludwick, Victoria Fan, Ajay Mahal

“…Interpretation: Study findings highlight the potential for cross-national learning to address functional limitations among older populations in low- and middle-income countries. …”
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Multi-decadal spatiotemporal dynamics of alpine plant functional types (PFTs) inferred from Landsat-derived fractional cover across the Yarlung Zangbo river basin, China by Qichi Yang, Lihui Wang, Xiaoqi Li, Xue Yan, Jinliang Huang, Yun Du, Feng Ling

“…In this study, we employed a regression-based unmixing model using synthetic data to develop a multi-temporal machine learning model aimed to estimate the fractions of alpine plant functional types (PFTs) from 1984 to 2024 in the Yarlung Zangbo River Basin (YZRB), China. …”
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Machine learning-enhanced discovery of tsRNA-mRNA regulatory networks: identifying novel diagnostic biomarkers and therapeutic targets in breast cancer by Zhongling Ma, Rui Wang, Ming Yuan, Bo Wang, Li Li, Tianfu Zhao, Xinhan Zhao

“…FAM155B correlated with immune infiltration, drug resistance, and activation of oncogenic pathways. Functional studies confirmed FAM155B promotes breast cancer proliferation and migration.ConclusionOur machine learning approach successfully identified a robust tsRNA diagnostic signature and uncovered the tsRNA-FAM155B regulatory axis as a novel therapeutic target. …”
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