The Relationship Between School Culture and Student Achievement in High School by Santia Santia, Budi Astuti, Deananda Syafitri

“…Background on school culture is one factor that influences students to improve learning achievement at school. A healthy school culture provides opportunities for school members to function optimally, work efficiently, be full of vitality, have high spirits, and be able to continue to grow. …”
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Parametric matrix models by Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee

“…While originally designed for scientific computing, we prove that parametric matrix models are universal function approximators that can be applied to general machine learning problems. …”
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ClusterEmbed: Lightweight Protein Structure Prediction on PCs by Yuan Chuxin

“…Biological sequence design seeks to generate novel sequences, such as proteins, with optimized functional properties, a task complicated by vast combinatorial spaces and complex sequence-function relationships. …”
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Text classification model based on GNN and attention mechanism by ZENG Shuifei, MENG Yao, LIU Jing

“…Firstly, an inductive learning of graph neural network model was constructed, and dynamic embedding the unknown neighboring node was implemented by using an aggregation function to enhance the model’s generalization ability. …”
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Adaptive Neural Network Iterative Sliding Mode Course Tracking Control for Unmanned Surface Vessels by Chunbo Zhao, Huaran Yan, Deyi Gao, Renqiang Wang, Qinrong Li

“…The online reinforcement learning of the RBF neural network is carried out by the reinforcement learning algorithm, which enhances the approximation performance of the network. …”
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Prenatal maternal HFD exposure impairs cognition via a hippocampal NMDA mechanism by Kuan-Ru Chen, Yu-Cheng Ho, Chih-Wei Huang, Lung Yu, Pao-Lin Kuo

“…Most animal studies investigated the effects of maternal high-fat diet (HFD) from pre-mating to lactation on offspring neurodevelopment and cognitive function. However, the specific impact of in-utero exposure to maternal HFD on the cognitive function in offspring remains limited. …”
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A Physics-Informed Neural Network Based on the Boltzmann Equation with Multiple-Relaxation-Time Collision Operators by Zhixiang Liu, Chenkai Zhang, Wenhao Zhu, Dongmei Huang

“…The micro–macro decomposition method is applied to improve learning efficiency. The problem-dependent loss function is proposed to balance the weight of the function for different conditions at different velocities. …”
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Adaptive Reuse Suggestions in Interior Architecture Education: A Registered Workshop in Ankara by Mine Sungur

“…The third step, the design phase, begins with the choice of a new function appropriate for the building's location and style in light of all available data and documentation. …”
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Comparative Performance of Surrogate-Assisted MOEAs for Geometrical Design of Pin-Fin Heat Sinks by Siwadol Kanyakam, Sujin Bureerat

“…The surrogate-assisted MOEAs are achieved by integrating multiobjective population-based incremental learning (PBIL) with a quadratic response surface model (QRS), a radial-basis function (RBF) interpolation technique, and a Kriging (KRG) or Gaussian process model. …”
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PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses by Xiaoyong Liu, Hui Fu

“…Disease diagnosis is conducted with a machine learning method. We have proposed a novel machine learning method that hybridizes support vector machine (SVM), particle swarm optimization (PSO), and cuckoo search (CS). …”
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Human adaptation to adaptive machines converges to game-theoretic equilibria by Benjamin J. Chasnov, Lillian J. Ratliff, Samuel A. Burden

“…Importantly, the machine learning algorithms work directly from observations of human actions without solving an inverse problem to estimate the human’s utility function as in prior work. …”
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Attitude tracking control for quadrotor UAVs based on extremum seeking by GUO Dali, ZHAO Zhongyuan, LUO Zijuan

“…Firstly, a nonlinear attitude model of a four rotor UAV was established, and considering the uncertainty of model parameters, a robust controller was designed to ensure the dynamic boundedness of tracking errors. Secondly, a learning-based controller was designed by combining a robust controller with a model-free learning algorithm, which automatically and iteratively adjusted the feedback gain of the robust controller and optimized the expected performance cost function online. …”
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Research of Financial Early-Warning Model on Evolutionary Support Vector Machines Based on Genetic Algorithms by Zuoquan Zhang, Fan Lang, Qin Zhao

“…A support vector machine is a new learning machine; it is based on the statistics learning theory and attracts the attention of all researchers. …”
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Bureaucratic Rationalism and The Quiet (R)evolution by William Twining

“…Karl Llewellyn once observed that the function of the law teacher is not to let the true light shine; he was wise to content himself with that negative formulation. …”
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An English Diagnostic Intelligence Evaluation Model Based on Organizational Evolutionary Information Entropy by Haiying Sang

“…In order to realize the English diagnostic intelligence evaluation, improve the English learning ability, and construct the cognitive framework of English learning, this study proposes an English diagnostic intelligence evaluation model based on the organizational evolution information entropy. …”
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Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis by Dominik Takács, Ambrus Zelei

“…The IPG CarMaker uses a multibody vehicle model and a learning algorithm for the virtual driver. The goal is to discover the behavior of the learning algorithm from the point of view of reliability and convergence. …”
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Promoting Critical Thinking, and Information Instruction in a Biochemistry Course. by Li Zhang

“… The explosive growth of the amount of information requires students to achieve competency in retrieving, managing, analyzing, and using information effectively. To help students function successfully in the information era, librarians need to focus on developing students' critical thinking and transferable learning abilities. …”
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Competencies, Capabilities and Development Capacity by Mark Avery

“… In leading and managing health, aged and social care organisations and systems professionals need to be able to rely on ongoing effective learning and knowledge attainment. Irrespective of the role, function, experience or practice of individual leaders and managers, such a commitment is about growth and development personally and professionally. …”
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The implementation of the situational control concept of information security in automated training systems by A. M. Chernih, S. V. Fedoseev

“…It is assumed that the automated learning system is a fragment of a larger information system that contains several information paths, each of them treats different information in the protection degree from information, containing constituting state secrets, to open access information.It is considered that the technical methods, measures and means of information protection in automated learning systems implement less than half (30%) functions of subsystems of control and protection information. …”
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Application of Artificial Intelligence Technology in Martial Arts Education Governance by Weiwu Ye, Shihong Li, Shuaibing Liu, Yuan Zhou

“…Martial arts education has a relatively comprehensive educational function. Compared with other educational methods, it has some unique features. …”
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