The “What” and “How” of Pantomime Actions by Raymond R. MacNeil, James T. Enns

“…Historically, the TVS framework has considered pantomime actions as expressions of conscious perceptual processing in the ventral stream, but an emerging view is that they are jointly influenced by ventral and dorsal stream processing. …”
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Using Generative AI to Support UX Design Students in Web Development Courses by Félix Buendía-García, Javier Piris-Ruano

“…This work explores the integration of Generative AI (GenAI) tools into web development educational settings, with a focus on enhancing the user experience (UX) design process and supporting students with limited technical backgrounds. …”
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Self-supervised speech representation learning based on positive sample comparison and masking reconstruction by Wenlin ZHANG, Xuepeng LIU, Tong NIU, Qi CHEN, Dan QU

“…To solve the problem that existing contrastive prediction based self-supervised speech representation learning methods need to construct a large number of negative samples, and their performance depends on large training batches, requiring a lot of computing resources, a new speech representation learning method based on contrastive learning using only positive samples was proposed.Combined with reconstruction loss, the proposed method could obtain better representation with lower training cost.The proposed method was inspired by the idea of the SimSiam method in image self-supervised representation learning.Using the siamese network architecture, two random augmentations of the input speech signals were processed by the same encoder network, then a feed-forward network was applied on one side, and a stop-gradient operation was applied on the other side.The model was trained to maximize the similarity between two sides.During training processing, negative samples were not required, so small batch size could be used and training efficiency was improved.Experimental results show that the representation model obtained by the new method achieves or exceeds the performance of existing mainstream speech representation learning models in multiple downstream tasks.…”
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Characterization and Simulation of Gunfire with Wavelets by David O. Smallwood

“…The structural response to nearby firing of a high-firing rate gun has been characterized in several ways as a nonstationary random process. The current paper will explore a method to describe the nonstationary random process using a wavelet transform. …”
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Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection by Marimuthu Dharmalingam, G. S. Mahapatra, Fasika Bete Georgise, Mahuya Deb

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Self-supervised speech representation learning based on positive sample comparison and masking reconstruction by Wenlin ZHANG, Xuepeng LIU, Tong NIU, Qi CHEN, Dan QU

“…To solve the problem that existing contrastive prediction based self-supervised speech representation learning methods need to construct a large number of negative samples, and their performance depends on large training batches, requiring a lot of computing resources, a new speech representation learning method based on contrastive learning using only positive samples was proposed.Combined with reconstruction loss, the proposed method could obtain better representation with lower training cost.The proposed method was inspired by the idea of the SimSiam method in image self-supervised representation learning.Using the siamese network architecture, two random augmentations of the input speech signals were processed by the same encoder network, then a feed-forward network was applied on one side, and a stop-gradient operation was applied on the other side.The model was trained to maximize the similarity between two sides.During training processing, negative samples were not required, so small batch size could be used and training efficiency was improved.Experimental results show that the representation model obtained by the new method achieves or exceeds the performance of existing mainstream speech representation learning models in multiple downstream tasks.…”
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A Study of the Digital Transformation and Efficiency Improvement Path of University Administration by Zhang Yiyan

“…Due to the fast evolution of information technology, including the extensive use of emerging technologies like big data, cloud computing, and artificial intelligence, colleges, and universities must enhance the digital transformation of administrative operations to achieve process optimization, informed decision-making, and enhanced service capabilities. …”
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Application of information technologies in veterinary medicine by M. L. Dyndyn

“…Particular attention should be paid to the impact of IT on process automation, big data processing, improving management efficiency and ensuring cybersecurity. …”
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Does dynamically modeled leaf area improve predictions of land surface water and carbon fluxes? Insights into dynamic vegetation modules by S. A. Westermann, A. Hildebrandt, A. Hildebrandt, S. Bousetta, S. Thober

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The role of coal pollution in intensification of the fast ice melting in the Sveabukta bay (Van Mijenfjorden, Spitsbergen) by P. V. Bogorodsky, A. P. Makshtas, A. V. Marchenko, V. Yu. Kustov

“…For computation of fast ice evolution characteristics the conceptual thermodynamic model which describes melting processes in the obvious form was used. …”
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Monte Carlo Simulation of Flash Memory Elements’ Electrophysical Parameters by O. G. Zhevnyak, V. M. Borzdov, A. V. Borzdov, A. N. Petlitsky

“…It is shown that in the vicinity of drain region a sufficient decrease of electron mobility defined by phonon scattering processes occurs and the growth of parasitic tunneling current is observed which have a negative influence on device characteristics.The developed simulation program may be used in computer-aided design of flash memory elements for the purpose of their structure optimization and improvement of their electrical characteristics.…”
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Novel Green Synthesis Route of ZnO Nanoparticles for Dielectric Applications by Zohra Benzarti, Joana Neiva, Pedro Faia, Eduardo Silva, Sandra Carvalho, Susana Devesa

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Expanded Design by Roberto Bottazzi

“…In so doing, the aim is not to abdicate a specificity of urban design and uncritically absorb computational technologies; rather, the creative process in design will provide a filter through which critically evaluate machine learning techniques. …”
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SOFTWARE FOR SUPERCOMPUTER SKIF “ProLit-lC” and “ProNRS-lC” FOR FOUNDRY AND METALLURGICAL PRODUCTIONS by A. N. Chichko, D. M. Kukuj, V. E. Sobolev, S. G. Lihouzov, Ju. V. Jatskevich, O. I. Chichko

“…The influence of number of  processors of  multinuclear computer system SKIF on acceleration and time of  modeling of technological processes, connected with production of castings and slugs, is shown.…”
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Theorical study on mechanical properties of AZ31B Magnesium alloy Sheets under multiaxial loading by A. Znaidi, O. Daghfas, S. Guellouz, R. Nasri

“…Numerical simulation by plastic deformation of the shaping processes currently has a large industrial interest. …”
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Deriving improved plasma fluid equations from collisional kinetic theory by Y. S. Dimant

“…IntroductionDeveloping a quantitative understanding of wave plasma processes in the lower ionosphere requires a reasonably accurate theoretical description of the underlying physical processes. …”
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Probing Triple Higgs Self-Coupling and Effect of Beam Polarization in Lepton Colliders by Ijaz Ahmed, Ujala Nawaz, Taimoor Khurshid, Shamona Fawad Qazi

“…These scattering processes include various possible combinations of final states in the triple Higgs sector. …”
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AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers by J. Middendorf, A. Kelm, S. Frintrop

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Multi-Bit Resistive Random-Access Memory Based on Two-Dimensional MoO₃ Layers by Kai Liu, Wengui Jiang, Liang Zhou, Yinkang Zhou, Minghui Hu, Yuchen Geng, Yiyuan Zhang, Yi Qiao, Rongming Wang, Yinghui Sun

“…Two-dimensional (2D) material-based resistive random-access memory (RRAM) has emerged as a promising solution for neuromorphic computing and computing-in-memory architectures. Compared to conventional metal-oxide-based RRAM, the novel 2D material-based RRAM devices demonstrate lower power consumption, higher integration density, and reduced performance variability, benefiting from their atomic-scale thickness and ultra-flat surfaces. …”
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The Main Directions of Improving the Methodology for the Application of Advanced Information and Communication Technologies in the Statistical Activities of the Republic of Uzbekis... by I. E. Zhukovskaya

“…The goal is to develop scientifically grounded directions for improving the methodology for the application of advanced information and communication technologies in the statistical activities of the Republic of Uzbekistan in the context of the formation of the digital economy.Materials and methods. In the process of developing the main directions for improving the methodology for the application of information and communication technologies in the statistical activity of the Republic of Uzbekistan, comparative, systemic, economic and statistical, SWOT analysis, methods of monographic research, questionnaire survey, statistical sampling, grouping, comparison, induction, deduction, optimization method, as well as methods of working with WEB-sites, computer networks and specialized software products were used.Results. …”
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