A proposed taxonomy of test-taking action and item format in written receptive vocabulary testing by Jeffrey Martin

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CoNO: Complex neural operator for continous dynamical physical systems by Karn Tiwari, N. M. Anoop Krishnan, Prathosh A. P.

“…Neural operators extend data-driven models to map between infinite-dimensional functional spaces. While these operators perform effectively in either the time or frequency domain, their performance may be limited when applied to non-stationary spatial or temporal signals whose frequency characteristics change with time. …”
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Leveling up engagement: gamification’s role in creating immersive online events by Samuel I. M. Horita, Beatriz M. S. Gonzaga, Renata M. F. Mélo, Aline B. M. Rodrigues, Aline T. Ferreira, Andreon S. M. Silva, Anne C. S. B. Marcos, Giovane F. S. Junior, Hugo A. S. Souza, João P. S. Oliveira-Correia, Lorrane A. Pereira, Mayara M. L. Carvalho, Norma C. C. Brandão, Raissa S. L. Rosa, Thiago M. Ribeiro, Yuli R. M. Souza, Mariana Alberti Gonçalves, Roberto R. Ferreira, Ingo Riederer, Andrea Henriques Pons, Luciana R. Garzoni, Tania C. Araujo-Jorge, Clélia C. Mello-Silva

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Confidence evaluation for feature selection in expanded feature space based on density of states by Koki Obinata, Yasuhiko Igarashi, Kenji Nagata, Keitaro Sodeyama, Masato Okada

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Analyzing teachers’ scripts from teachers’ reflections after they tried to encourage students’ flexible mathematical thinking by Joona Moberg, Minna Hannula-Sormunen, Markus Hähkiöniemi, Erno Lehtinen

“…The results suggest that the analytic framework developed is functional and robust, paving the way for future investigations with larger samples. …”
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The Role of Visual Information Quantity in Fine Motor Performance by Giulia Panconi, Vincenzo Sorgente, Sara Guarducci, Riccardo Bravi, Diego Minciacchi

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Sex Differences in Gross Motor Competence in Italian Children Aged 3–11 Years: A Large-Scale Cross-Sectional Study by Cristiana D’Anna, Fabio Carlevaro, Francesca Magno, Roberto Vagnetti, Pierpaolo Limone, Daniele Magistro

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Increased Salivary BDNF and Improved Fundamental Motor Skills in Children Following a 3-Month Integrated Neuromuscular Training in Primary School by Fidanka Vasileva, Raquel Font-Lladó, Gemma Carreras-Badosa, Víctor López-Ros, Anna Ferrusola-Pastrana, Abel López-Bermejo, Anna Prats-Puig

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Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting Exercis... by André B. Peres, Tiago A. F. Almeida, Danilo A. Massini, Anderson G. Macedo, Mário C. Espada, Ricardo A. M. Robalo, Rafael Oliveira, João P. Brito, Dalton M. Pessôa Filho

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Exploring the nexus of many-body theories through neural network techniques: the tangent model by Senwei Liang, Karol Kowalski, Chao Yang, Nicholas P Bauman

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Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD by Louis Lortie, James Richard Forbes

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Contemporary education reform and national reinvention in post-independence Ukraine: The national qualifications framework, bridging state and global perspectives by Ulana Plawuszczak Pidzamecky

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Electrical Storm Optimization (ESO) Algorithm: Theoretical Foundations, Analysis, and Application to Engineering Problems by Manuel Soto Calvo, Han Soo Lee

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Large-scale gene expression data clustering through incremental ensemble approach by Imran Khan, Abdul Khalique Shaikh, Naresh Adhikari

“…It creates a large amount of data that helps scientists learn about how genes work. Clustering this data helps understand gene interactions and uncover important biological processes. …”
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SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm by Mohsen Nokhodchian, Mohammad Hossein Moattar, Mehrdad Jalali

“…These enhancements significantly improve the discrimination capabilities of the learning process. This paper conducts an impartial analysis of several essential NMF algorithms. …”
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Uncertainty quantification from ensemble variance scaling laws in deep neural networks by Ibrahim Elsharkawy, Benjamin Hooberman, Yonatan Kahn

“…Quantifying the uncertainty from machine learning analyses is critical to their use in the physical sciences. …”
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The Value of Tshivenḓa Proverbs in the Upbringing of a Child in the 21st Century by Tshinetise David Raphalalani

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Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks by Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee

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A genetic algorithm to generate maximally orthogonal frames in complex space by Sebastián Roca-Jerat, Juan Román-Roche

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Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies by Julieth K Riveros, Paola A Saavedra, Héctor J Hortúa, Jorge Enrique García-Farieta, Ivan Olier

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