Development of E-Modules Assisted by Geogebra Software to Improve High School Students' Mathematical Problem Solving Abilities by Betrik Sihombing, Glory Indira D. Purba

“…This research is motivated by students' low mathematical problem solving abilities in  mathematics learning process, which includes four indicators, namely understanding the problem, making a plan, implementation the plan and looking back. …”
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Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…To incorporate physical information for the sine-Gordon equation, a multiobjective loss function has been defined consisting of the residual of governing partial differential equation (PDE), initial conditions, and various boundary conditions. …”
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Designing Gamified Intergenerational Reverse Mentorship Based on Cognitive Aging Theory by Sijie Sun

“…Cognitive Aging Theory suggests that due to declines in memory, attention, and executive function, older adults encounter challenges when learning new technologies, while gamified learning combined with intergenerational interaction can help reduce cognitive load and increase learning motivation. …”
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Benchmarking uncertainty quantification for protein engineering. by Kevin P Greenman, Ava P Amini, Kevin K Yang

“…Machine learning sequence-function models for proteins could enable significant advances in protein engineering, especially when paired with state-of-the-art methods to select new sequences for property optimization and/or model improvement. …”
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REINSTRUMENTASI FUNGSI ZAKAT MENUJU PENGENTASAN KESENJANGAN SOSIAL EKONOMI UMAT by Juhari -

“…The second, the mechanism of zakat distribution is still traditional konsumptif. In such a way, the function of instrumentatif zakat as a media of mental learning mustahiq to put productive way forward in financing is not reached. …”
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Directed Equilibrium Propagation Revisited by Pedro Costa, Pedro A. Santos

“…We additionally propose a novel local learning rule closely linked to the objective function’s gradient and establish sufficient conditions for reliable learning in small networks. …”
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Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah by Fitriana Masruroh, Bayu Surarso, Budi Warsito

“…The dataset used is 4500 images divided into five classes heart, long, oblong, square, round. Various deep learning optimizers include; transfer learning, deep learning optimizer, dropout and activation functions are implemented to improve model performance. …”
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Attention or memory deficits? An HIV study in Shanghai using local and norm-based controls by Chuan Chen, Fengxiang Song, Chen Peng, Yuxin Shi, Dan-Chao Cai

“…In contrast, impairment rates in memory (32%), learning (20%), and motor (14%) were higher, although they did not differ significantly between PLWH and PLWoH.ConclusionNeurocognitive impairments in PLWH from Shanghai primarily involve attention/working memory and executive function. …”
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Uniform Quantization for Multi-Antenna Amplify–Quantize–Forward Relay by Gangsan Jeong, Xianglan Jin

“…Specifically, we present supervised learning (SL) and unsupervised learning (USL) methodologies, with the latter employing a novel loss function designed to avoid the need for extensive training data collection. …”
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Mouse repeated electroconvulsive seizure (ECS) does not reverse social stress effects but does induce behavioral and hippocampal changes relevant to electroconvulsive therapy (ECT)... by Erin M van Buel, Hannes Sigrist, Erich Seifritz, Lianne Fikse, Fokko J Bosker, Robert A Schoevers, Hans C Klein, Christopher R Pryce, Ulrich Lm Eisel

“…CSS did not increase fear learning and memory in the present experimental design; in both the control and CSS mice ECS reduced fear learning and fear memory expression. …”
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Intégration d'un outil informatique dans l'enseignement du niveau intermédiaire d'espagnol à l'Université de Technologie de Compiègne by Fátima Sánchez Paniagua

“…In comparison to conventional media (such as books), an Internet site allows the provision of clues and formative individualized feedback in order to facilitate autonomous learning. Following the presentation of some of the psycholinguistic aspects upon which our theoretical reflections are based we briefly describe the learning context and explain the reasons that led us to imagine this tool, then we specify the potential function of such a tool in the educational and learning system. …”
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Method for assessing testing difficulty in educational sphere by A. S. Sigov, V. Ya. Tsvetkov, I. E. Rogov

“…The logistic function ranges from minus infinity to plus infinity. …”
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Augmentation method of fatigue data of welded structures based on physics-informed CTGAN by Xinyu Cao, Li Zou, Chen Lu

“…In recent years, machine learning is a useful technique for predicting fatigue life. …”
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Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics by Rodrigo Carmo Terin

“…Physics-informed neural networks (PINNs) are employed to solve the Dyson-Schwinger equations of quantum electrodynamics (QED) in Euclidean space, with a focus on the non-perturbative generation of the fermion's dynamical mass function in the Landau gauge. By inserting the integral equation directly into the loss function, our PINN framework enables a single neural network to learn a continuous and differentiable representation of the mass function over a spectrum of momenta. …”
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La coordination en travail social : un avatar du management transversal by Emmanuel Triby

“…The management activity is thus questioned as well as the coordination function, emerging in the field of social work, and presented as an avatar of transversal management. …”
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Evaluating Pain Education Programs: An Integrated Approach by Adam Dubrowski, Marie-Paule Morin

“…Evaluation of educational programs and assessment of learning are essential to maintain high-standard health science education, which includes pain education. …”
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REINSTRUMENTASI FUNGSI ZAKAT MENUJU PENGENTASAN KESENJANGAN SOSIAL EKONOMI UMAT by Juhari -

“…The<br />second, the mechanism of zakat distribution is still traditional<br />konsumptif. In such a way, the function of instrumentatif zakat<br />as a media of mental learning mustahiq to put productive way<br />forward in financing is not reached. …”
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Time to Be SHY? Some Comments on Sleep and Synaptic Homeostasis by Giulio Tononi, Chiara Cirelli

“…The comments below provide a brief summary of the motivations underlying SHY and clarify that SHY is a hypothesis not about specific mechanisms, but about a universal, essential function of sleep. This function is the preservation of synaptic homeostasis in the face of a systematic bias toward a net increase in synaptic strength—a challenge that is posed by learning during adult wake, and by massive synaptogenesis during development.…”
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Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…In this study, two machine learning models, namely the multilayer perceptron (MLP) and the radial basis function (RBF) networks, were employed to predict rut depth.Materials and MethodsExperiments were conducted using a soil bin that allows for precise control of independent parameters, measuring 24 meters in length, 2 meters in width, and 0.8 meters in depth. …”
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Predicting the Cetane Number of Biodiesel using two AI-Models: the Gradient-based ANN and ANN Optimized by Genetic Algorithm by Hadis Tanha, Fatemeh Bashipour

“…The resulting outcomes revealed that the highest R2 and the lowest MSE were related to the GB-ANN model with two hidden layers, trainbfg learning method and logsig-tansig-purelin transfer function. …”
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