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 three input variablesof the model for predicting the target variable of the biodiesel CN are the average number of carbon atoms, average number of double bonds, and average molecular weight of the fatty acid methyl esters. The learning function, transfer function, number of hidden layers, and number of neurons in the hidden layers are some of the optimized parameters in the current AI-models. …”
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Pengembangan dan Penerapan Sistem Persuasif pada E-learning : Aspek Perceived System Credibility dan Social Influence by Vanya Anjani Mupti, Yohana Dewi Lulu Widyasari, Indah Lestari

“…This is due to the implementation of web 2.0 technology that focuses on the process of information exchange and the existence of user interactions within the system. To make e-learning function like web 2.0, in this final project an e-learning was designed by applying persuasive concepts using perceived system credibility and social influence aspects to improve communication and interaction functions in e-learning. …”
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Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and... by Kahina Imene Benramdane, Mohamed El Moundhir Hadji, Mohamed Khodja, Nadjib Drouiche, Bruno Grassl, Seif El Islam Lebouachera

“…The best-performing model was a cascade-type network employing the Levenberg–Marquardt learning function, learngdm adaptation, tansig activation function for the hidden layer, and purelin for the output layer, achieving an R² of 0.99 and an MSE of 6.84028 × 10⁻⁹. …”
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Les fonctions du rituel scolaire selon différentes sciences humaines et sociales by Myriam Bertrand, Maryvonne Merri

“…Firstly, three categories of functions are analyzed: social functions, learning functions, and language functions. In this research, sociological and anthropological references are articulated with Vygotsky’s cultural psychology and didactics, revealing the potential functional richness of school rituals. …”
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Les conditions psychologiques et didactiques du développement de l’activité personnelle des élèves de maternelle au cours des rituels du matin by Marielle Purdy, Maryvonne Merri

“…Firstly, three categories of functions are analyzed: social functions, learning functions, and language functions. In this research, sociological and anthropological references are articulated with Vygotsky’s cultural psychology and didactics, revealing the potential functional richness of school rituals. …”
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Teaching training and teaching action: several perspectives (Introduction) by Pablo Palomero Fernández

“…On the other hand, certain aspects, such as our role as mediators in the teaching-learning processes or the emphasis on learning functionality and significance open a door to hope. …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

“…<italic>Methods:</italic> we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achieve ASD diagnosis. …”
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A Coupled Adaptive Kriging Model and Generalized Subset Simulation Hybrid Reliability Analysis Method for Rare Failure Events by Yunhan Ling, Huajun Peng, Yong Sun, Chao Yuan, Zining Su, Xiaoxiao Tian, Peng Nie, Hengfei Yang, Shiyuan Yang

“…This updated strategy avoids the limitations of most current learning functions based on the prediction variance of Kriging models. …”
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Realised volatility prediction of high-frequency data with jumps based on machine learning by Gao Yuyan, He di, Mu Yan, Zhao Hongmin

“…In particular, the long- and short-term memory (LSTM) function is significantly better than other machine learning functions. Among all the LSTM models tested by the model confidence set (MCS), the HARQ-F-J-LSTM model has the highest prediction accuracy, followed by the HARQ-J-LSTM model.…”
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Identification of Learning Management Systems Functional Areas and Limitations (Case Study: E-Learning Center of University of Tehran) by Ali akbar Farhangi, hamidreza yazdani, maryam haghshenas

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Discontinuist and continuist approaches of language evolution… and beyond by Lise Habib-Dassetto, Alban Lemasson, Cristel Portes, Marie Montant

“…Several works belonging to the continuist approach have shown that some characteristics of language can be found in non-human primates, such as social learning, functional referential communication or even forms of combinatoriality. …”
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Promoting student participation skills through student organizations by Yayuk Hidayah, Cheong Su Fen, Anis Suryaningsih, Sukron Mazid

“…A student organization is a step used to improve students' basic norms, roles and learning functions in accordance with the Indonesian Ministry of Education and Culture number 155/1998. …”
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Textele funcționale în manualele de RLS: studiu comparativ / Functional texts in RFL textbooks: a comparative study by Valerica Sporiș

“…Consequently, we will answer the questions: Is there a need to teach-learn functional texts systematically in the Romanian Language Preparatory Program for Foreign Citizens, by virtue of the role of these texts in today’s society? …”
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Design of an intelligent post-diagnosis decision support system for highly automated trucks by Xin Tao, Lina Rylander, Jonas Mårtensson

“…The design includes conducting a system impact analysis to identify new stakeholders, proposing a new DSS architecture with review and learning functions, and concretizing various potentially effective decision-making models and information inputs. …”
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Using Nearest-Neighbor Distributions to Quantify Machine Learning of Materials’ Microstructures by Jeffrey M. Rickman, Katayun Barmak, Matthew J. Patrick, Godfred Adomako Mensah

“…From the moments of these distributions, we obtain so-called learning functions that highlight the rate at which the important topological features of a grain-boundary network appear. …”
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Functional Brain Network Disruptions in Parkinson’s Disease: Insights from Information Theory and Machine Learning by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

“…<b>Objectives:</b> This study investigates disruptions in functional brain networks in Parkinson’s Disease (PD), using advanced modeling and machine learning. Functional networks were constructed using the Nonlinear Autoregressive Distributed Lag (NARDL) model, which captures nonlinear and asymmetric dependencies between regions of interest (ROIs). …”
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Tourism Learning Resources and Development Strategies in China: A Review and Conceptual Framework by Simeng Zhang, Jia Liu, Yuxuan Li

“…Actively developing tourism learning resources and manifesting tourism learning functions serves as an innovative practical path for cultivating new quality productivity in tourism and bears the contemporary mission of constructing a national lifelong learning system in the context of Chinese-style modernization. …”
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Online learning during the COVID-19 pandemic: Medical students’ perspective of challenges and barriers by Loma Al-Mansouri, Firas R. Al-Obaidi, Noor Ahmed Abdullah

“…During the pandemic, online learning functioned as the principal pathway of education at all levels of education for a considerable time. …”
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THE RECONSTRUCTION OF FUNCTIONS USING DIDACTIC TRANSPOSITION: A FOCUS ON THE TEXTBOOKS FOLLOWING THE MALAYSIAN AND INDONESIAN MATHEMATICS CURRICULA by Nadya Syifa Utami, Sufyani Prabawanto, Phoong Seuk Yen, Arrold Rynix Anak Rambee

“…The results also contribute to the potential pathway for learning functions by drawing lessons from two different systems of education. …”
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THE RECONSTRUCTION OF FUNCTIONS USING DIDACTIC TRANSPOSITION: A FOCUS ON THE TEXTBOOKS FOLLOWING THE MALAYSIAN AND INDONESIAN MATHEMATICS CURRICULA by Nadya Syifa Utami, Sufyani Prabawanto, Phoong Seuk Yen, Arrold Rynix Anak Rambee

“…The results also contribute to the potential pathway for learning functions by drawing lessons from two different systems of education. …”
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