The Multi-Frequency Decomposition Entropy Learning for Nonlinear fMRI Data Analysis by Di Han, Yuhu Shi, Lei Wang, Yueyang Li, Weiming Zeng

“…To address the above issues, we propose a new method named multi-frequency decomposition entropy (MDE) learning for inferring nonlinear functional connectivity between brain regions. …”
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Complex system testing based on API by Milan Sliacky, Lukáš Kacar

“…The testing aimed to verify the overall functionality of the complex system as well as the correct execution of the functions of its selected parts, which consist of several separately developed but closely cooperating subsystems: blockchain, clearing, and mobile application subsystem with support of bank payment system. …”
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Biotechnological bases of optimization of microflora of the petropolluted substrata by V. V. Smolnikova, S. A. Yemelyanov

“…The biological method of clearing and restoration ecological functions of the petropolluted soils, based on an intensification of processes of biodegradation of hydrocarbons of oil, at the expense of creation of optimum conditions of ability to live native carbon oxidizing microflorae is considered.…”
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Exploring Teachers' Perceptions of GeoGebra's Usefulness for Learning Limits and Continuity: A Gender Perspective by Jean Pierre Alpha Munyaruhengeri, Odette Umugiraneza, Jean Baptiste Ndagijimana, Theoneste Hakizimana

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From Task Distributions to Expected Paths Lengths Distributions: Value Function Initialization in Sparse Reward Environments for Lifelong Reinforcement Learning by Soumia Mehimeh, Xianglong Tang

Subjects: “…reinforcement learning…”
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Compound exposure of 2.8 GHz and 9.3 GHz microwave causes learning and memory impairment in rats by Liu Sun, Xiaoya Wang, Ke Ren, Chuanfu Yao, Haoyu Wang, Xinping Xu, Hui Wang, Ji Dong, Jing Zhang, Binwei Yao, Xiaohui Wei, Ruiyun Peng, Li Zhao

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Prevalence of Ocular Disorders in Learning Disabled Children and Their Functional Visual Performance Before and After Providing Spectacle Correction by Parikshit Gogate, Jason Raj William, Amit Shinde, Shashi Bhushan

Subjects: “…vision function…”
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Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data by Wenli Chen, Zirou Lin, Lishan Zheng, Mei-Yee Mavis Ho, Farhan Ali, Wei Peng Teo

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Computer-Modeling System of Agronomist’s Labor Functions by I. E. Bystrenina

“…A diagram of use cases for this notation made it possible to describe the functional requirements and interactions between the system and its user. …”
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Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer by Luqian Liu, Fengyu Zhang, Jiaye Yu, Pingping Dong, Jing Deng, Weiwei Liu, Xinlei Cao, Juanjuan Huang, Xiaoming Lin, Xiangyang Xue

“…Elevated NUBPL expression levels can impair the function of chemokines. Moreover, patients with lower NUBPL expression levels exhibit better responses to immunotherapy. …”
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Big Data in Neuroscience: Transforming Research and the Understanding of Brain Function by Adina DZIŢAC

“…Since the year 2000, artificial intelligence and machine learning have transformed neuroscience research and have revolutionized data analysis and made it possible for researchers to discover complex patterns in brain activity, relating this to neurological disorders and cognitive functions. …”
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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

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Accelerated predictions of the sublimation enthalpy of organic materials with machine learning by Yifan Liu, Huan Tran, Chaofan Huang, Beatriz G. delRio, V. Roshan Joseph, Mark Losego, Rampi Ramprasad

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Influence of digital environment on the cognitive function of schoolchildren and students by E. A. Avdeeva, O. A. Kornilova

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Data‐Driven Materials Research and Development for Functional Coatings by Kai Xu, Xuelian Xiao, Linjing Wang, Ming Lou, Fangming Wang, Changheng Li, Hui Ren, Xue Wang, Keke Chang

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Image Reconstruction Algorithm Based on Extreme Learning Machine for Electrical Capacitance Tomography by SU Ziheng, CHEN Deyun, WANG Lili

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Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning by Peiyao Wang, Duo Zhou, Lingwei Hu, Pingping Ge, Ziyan Cen, Zhenzhen Hu, Qimin He, Kejun Zhou, Benqing Wu, Xinwen Huang

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Explorative learning and functional inferences on a five-step means-means-end problem in Goffin's cockatoos (Cacatuagoffini). by Alice M I Auersperg, Alex Kacelnik, Auguste M P von Bayern

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Developing Machine Learning-based Control Charts for Monitoring Different GLM-type Profiles With Different Link Functions by Patrik Hric, Hamed Sabahno

“…In this paper, we propose an innovative approach that uses different machine-learning (ML) techniques for constructing control charts and monitoring generalized linear model (GLM) profiles with three different GLM-type response distributions of Binomial, Poisson, and Gamma, and by examining different link functions for each response distribution. …”
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A Comparative Analysis of Machine Learning and Pedotransfer Functions Under Varying Data Availability in Two Greek Regions by Panagiotis Tziachris, Panagiota Louka, Eirini Metaxa, Miltiadis Iatrou, Konstantinos Tsiouplakis

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