On Functions of Non-Finite Forms in English Language by A. Y. Sokolova

“…The article considers syntactic functions and grammatical status of non-finite forms in the English language. …”
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The Intersection of Psycholinguistics and Systemic Functional Linguistics in Textbooks by Ієронім Канггунг Даронг, Ерна Мена Німан

“…Textbooks have an important role in learning foreign languages, especially in shaping students' linguistic competencies. …”
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MindRegulation-SEL: randomized controlled trial of the effects of a relaxation and guided imagery intervention with socioemotional learning on the psychological and biophysiological well-being, socioemotional development, cognitive function and academic achievement of elementary school children by Iolanda Costa Galinha, Joana Leite da Cunha Sampaio de Carvalho, Ana Cristina Pires de Oliveira, Patrícia Arriaga, Augusta D. Gaspar, Hugo P. Silva, Vitória Ortega

“…This randomized controlled trial (RCT) aims to contribute to that knowledge by implementing and testing the benefits of an intervention program MindRegulation-Socioemotional Learning (MR-SEL) comprising breathing and progressive muscle relaxation, instructions for body posture, and guided imagery with socioemotional learning, conveying adaptive beliefs about oneself, the relationships with others and the environment. …”
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Metabolic Engineering in Rice for Functional Metabolite Production by Yong Jin Choi, Sun-Hwa Ha

“…To improve the nutritional and functional value of rice, numerous biotechnological approaches have focused on metabolic engineering to address nutritional deficiencies and produce health-beneficial compounds that are either absent or naturally present in low amounts. …”
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Neuropsychological and Emotional Functioning in Patients with Cushing’s Syndrome by Sabrina Na, Mary A. Fernandes, Adriana G. Ioachimescu, Suzanne Penna

“…On objective testing, patients exhibited significant declines in the consistency of their sustained attention and visual-spatial functioning compared to normative peers. Patients exhibited on average significantly reduced initial learning following first exposure to visual and verbal stimuli but intact retention of information learned. …”
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On the Lanczos Method for Computing Some Matrix Functions by Ying Gu, Hari Mohan Srivastava, Xiaolan Liu

“…The study of matrix functions is highly significant and has important applications in control theory, quantum mechanics, signal processing, and machine learning. …”
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Effect of Occupation Performance Coaching with Four-Quadrant Model of Facilitated Learning on Children with Specific Learning Disorder by Amin Ghaffari, Akram Azad, Mehdi Alizadeh Zarei, Mehdi Rassafiani, Hamid Sharif Nia

“…Children with a specific learning disability (SLD) have deficits in everyday occupations along with executive function in addition to academic issues. …”
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Symmetric physically unclonable functions of the arbiter type by V. N. Yarmolik, A. A. Ivaniuk

“…It has been established that classical APUF uses a standard basic element that performs three functions, namely, the function of generating two random variables Generate, the function of choosing a pair of paths Select and the function of switching paths Switch, which are specified by one bit of the challenge. …”
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Cross Layer Power Allocation by Graph Neural Networks in Heterogeneous D2D Video Communications by Shu-Ming Tseng, Sz-Tze Wen, Chao Fang, Mehdi Norouzi

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Acute kidney disease in hospitalized pediatric patients: risk prediction based on an artificial intelligence approach by Lingyu Xu, Siqi Jiang, Chenyu Li, Xue Gao, Chen Guan, Tianyang Li, Ningxin Zhang, Shuang Gao, Xinyuan Wang, Yanfei Wang, Lin Che, Yan Xu

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Enhanced Video Anomaly Detection Through Dual Triplet Contrastive Loss for Hard Sample Discrimination by Chunxiang Niu, Siyu Meng, Rong Wang

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High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion by Quanchen Zhou, Jiabao Zuo, Wenhao Kang, Mingwu Ren

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SAC-Based Intelligent Load Relief Attitude Control Method for Launch Vehicles by Shou Zhou, Hao Yang, Shifeng Zhang, Xibin Bai, Feng Wang

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Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures by Kasian Myagila, Kasian Myagila, Devotha Godfrey Nyambo, Mussa Ally Dida

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Graph neural networks with configuration cross-attention for tensor compilers by Dmitrii Khizbullin, Eduardo Rocha de Andrade, Thanh Hau Nguyen, Matheus Pedroza Ferreira, David R. Pugh

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Neural Network Method for Solving Time Fractional Diffusion Equations by Feng Gao, Chunmei Chi

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Detection of Impaired Cognitive Function in Rat with Hepatosteatosis Model and Improving Effect of GLP-1 Analogs (Exenatide) on Cognitive Function in Hepatosteatosis by Oytun Erbaş, Fulden Sarac, Hüseyin Aktuğ, Gönül Peker

“…The aims of the study were to evaluate (1) detection of cognitive function changing in rat with hepatosteatosis model and (2) evaluate the effect of GLP-1 analog (exenatide) on cognitive function in hepatosteatosis. …”
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Enhancing children’s numeracy and executive functions via their explicit integration by Gaia Scerif, Jelena Sučević, Hannah Andrews, Emma Blakey, Sylvia U. Gattas, Amy Godfrey, Zachary Hawes, Steven J. Howard, Liberty Kent, Rebecca Merkley, Rosemary O’Connor, Fionnuala O’Reilly, Victoria Simms

“…Abstract Executive functions (EF) are crucial to regulating learning and are predictors of emerging mathematics. …”
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Alzheimer disease stages identification based on correlation transfer function system using resting-state functional magnetic resonance imaging. by Doaa Mousa, Nourhan Zayed, Inas A Yassine

“…Alzheimer's disease (AD) affects the quality of life as it causes; memory loss, difficulty in thinking, learning, and performing familiar tasks. Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used to investigate and analyze different brain regions for AD identification. …”
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Optimized Reinforcement Learning Model via Contrastive Learning for Intention Classification of Chinese Questions on Respiratory Diseases by Hao Wu, Degen Huang, Xiaohui Lin

“…Unlike previous reinforcement learning-based text representation models, we design a word frequency reward function (WF-RF) and a pair of positive and negative samples of CQRD in RL_CL. …”
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