Hypothetical Art and Art Education: The Educational Role of the Method of Hypothetical Artwork Modelling by Jurij Selan

“…On the one hand, it is only fictitious, but, on the other hand, it tries to function as a real token, persuading the reader to trust it as if it were a real artwork. …”
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Hypothetical Art and Art Education: The Educational Role of the Method of Hypothetical Artwork Modelling by Jurij Selan

“…On the one hand, it is only fictitious, but, on the other hand, it tries to function as a real token, persuading the reader to trust it as if it were a real artwork. …”
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Single-chain dimers from de novo immunoglobulins as robust scaffolds for multiple binding loops by Jorge Roel-Touris, Marta Nadal, Enrique Marcos

“…Our results provide a route to custom-design robust protein scaffolds for harboring multiple functional loops.…”
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MHO: A Modified Hippopotamus Optimization Algorithm for Global Optimization and Engineering Design Problems by Tao Han, Haiyan Wang, Tingting Li, Quanzeng Liu, Yourui Huang

“…In order to solve these problems, this paper proposes a modified hippopotamus optimization algorithm (MHO) to enhance the convergence speed and solution accuracy of the HO algorithm by introducing a sine chaotic map to initialize the population, changing the convergence factor in the growth mechanism, and incorporating the small-hole imaging reverse learning strategy. The MHO algorithm is tested on 23 benchmark functions and successfully solves three engineering design problems. …”
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MUSIC CLASSES INFLUENCE ON THE COGNITIVE DEVELOPMENT OF PRIMARY SCHOOL CHILDREN by M. E. Permiakova, E. S. Tkachenko

“…Research of influence of learning to play musical instruments within two years on the cognitive development of children with attention deficit hyperactivity disorder showed significantly greater development of the programming functions and voluntary activity control, the kinetic functions, hemispheric interaction, the ability to perceive and reproduce rhythms per sample, verbal memory of children involved in music. …”
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Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs by Stefan Berger, Norbert Hosters, Matthias Möller

“…We combine quantum machine learning (QML) with physics informed neural networks (PINNs) in a hybrid approach. …”
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Multimodal Perceptual Training for Improving Spatial Auditory Performance in Blind and Sighted Listeners by Oana BǍLAN, Alin MOLDOVEANU, Florica MOLDOVEANU

“…The use of individualised Head Related Transfer Functions (HRTF) is a fundamental prerequisite for obtaining an accurate rendering of 3D spatialised sounds in virtual auditory environments. …”
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Afadin regulates puncta adherentia junction formation and presynaptic differentiation in hippocampal neurons. by Daisaku Toyoshima, Kenji Mandai, Tomohiko Maruo, Irwan Supriyanto, Hideru Togashi, Takahito Inoue, Masahiro Mori, Yoshimi Takai

“…Furthermore, the interevent interval of miniature excitatory postsynaptic currents was prolonged in the cultured afadin-deficient hippocampal neurons compared with control neurons, indicating that presynaptic functions were suppressed or a number of synapse was reduced in the afadin-deficient neurons. …”
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Rural Educational Institutions of Western Siberia in End of 19^th — Beginning of 20^th Centuries: Sanitary and Hygienic Conditions by V. A. Zverev, A. I. Tatarnikova

“…The purpose of the work is to characterize the conditions for the functioning of rural educational institutions in a remote province, to show their influence on the implementation of the educational process in the designated period. …”
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A comparative artificial neural networks for Schwarzschild black hole (SBH) radius by Khalil Ur Rehman, Wasfi Shatanawi, Weam G. Alharbi

“…Two various training functions namely Levenberg-Marquardt training algorithm (LMTA) and Scaled Conjugate Gradient training algorithms (SCGTA) are used. …”
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Unified Schemes for Directive-Based GPU Offloading by Yohei Miki, Toshihiro Hanawa

“…Although OpenACC and OpenMP target provide similar features, both methods have pros and cons. OpenACC has better functions and an abundance of documents, but it is virtually for NVIDIA GPUs. …”
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Optimized decomposition and identification method for multiple power quality disturbances by Wang Zhaoqing, Chang Yanzhao, Chen Jianlei, Bao Weiyu

“…Subsequently, utilizing the characteristic attributes derived from IVMD, an optimized support vector machine (OSVM) algorithm is developed through the synthesis of diverse kernel functions. The OSVM strategically employs distinct kernel functions to augment the discriminability of the feature set. …”
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The Support Educational Commitee Participation in the Pedagogical Approach of an Educational Integration by Angélica Fontana-Hernández, Karla Durán-Chacón, Viviana Martínez-Ramírez, Viviana Rojas-Molina, Adriana Vargas-Navarro

“…In addition, there is also a concern for exploring the role of the Special Education teacher for this Committee, as well as learning the perceptions of teachers and parents about the functions performed by the committee.…”
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A dynamic examination of the digital circuit implementing the Fitzhugh-Nagumo neuron model with emphasis on low power consumption and high precision. by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

“…The main goal of this field is to explore neural functionality in the brain. The studies of spiking neurons and Spiking Neural Networks (SNNs) are vital to understand how brain-inspired neural system work. …”
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Examining Exams Using Rasch Models and Assessment of Measurement Invariance by Achim Zeileis

“…Here, several recent methods for assessing measurement invariance and for detecting differential item functioning in the Rasch model are discussed and applied to results from a first-year mathematics exam with single-choice items. …”
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Predicting protein synergistic effect in Arabidopsis using epigenome profiling by Chih-Hung Hsieh, Ya-Ting Sabrina Chang, Ming-Ren Yen, Jo-Wei Allison Hsieh, Pao-Yang Chen

“…Here we present QHistone, a predictive database of 1534 ChIP-seqs from 27 histone modifications in Arabidopsis, offering three key functionalities. Firstly, QHistone employs machine learning to predict the epigenomic profile of a query protein, characterized by its most associated histone modifications, and uses these modifications to infer the protein’s role in transcriptional regulation. …”
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Stokes flows in a two-dimensional bifurcation by Yidan Xue, Stephen J. Payne, Sarah L. Waters

“…We parametrize the flow conductances of 2D bifurcation as functions of the dimensionless parameters of bifurcation geometry and a fixed object using a machine learning approach, which is simple to use and provides more accurate approximations than Poiseuille’s law. …”
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hu.MAP 2.0: integration of over 15,000 proteomic experiments builds a global compendium of human multiprotein assemblies by Kevin Drew, John B Wallingford, Edward M Marcotte

“…Abstract A general principle of biology is the self‐assembly of proteins into functional complexes. Characterizing their composition is, therefore, required for our understanding of cellular functions. …”
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A decentralized power dispatch strategy in an electric vehicle charging station by He Yin, Amro Alsabbagh, Chengbin Ma

“…Finally, a down‐scaled experiment implementation is set up to validate the functionality and the effectiveness of the game theory‐based strategy.…”
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Answering the Call for Systems Change by Melanie Wilcox, Katharine Shaffer, Laura Reid Marks, Ashley Hutchison, Candice Hargons

“…Assessment, diagnosis, and conceptualization are considered core functional competencies in professional psychology (Fouad, 2009), yet these processes are often only taught at the individual level. …”
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