LUNA: Loss-Construct Unsupervised Network Adjustment for Low-Dose CT Image Reconstruction by Ritu Gothwal, Shailendra Tiwari, Shivendra Shivani

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Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions by Isabella Starling-Alves, Lina Shanley, Madison A. Cook, Fred W. Sabb, Jolinda Smith, Ben Clarke, Eric D. Wilkey

Subjects: “…Learning disorder…”
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Integrating PROSPECT-D physics and adversarial domain adaptation resnet for robust cross-ecosystem plant traits estimation by Hui Zhang, Haoxuan Su, Tie Shen, Guangyao Sun, Qi Wang

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Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

Subjects: “…machine learning…”
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Residential Electrical Load Forecasting Based on a Real-Time Evidential Time Series Prediction Method by M. Mroueh, M. Doumiati, C. Francis, M. Machmoum

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A Comparative Study of Topic Modelling Approaches for User-generated Point of Interest Data by Ravi Satyappa Dabbanavar, Arindam Biswas

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NIRSpredict: a platform for predicting plant traits from near infra-red spectroscopy by Axel Vaillant, Grégory Beurier, Denis Cornet, Lauriane Rouan, Denis Vile, Cyrille Violle, François Vasseur

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Waveflow: Boundary-conditioned normalizing flows applied to fermionic wave functions by Luca Thiede, Chong Sun, Alán Aspuru-Guzik

“…In this work, we introduce Waveflow, an innovative framework for learning many-body fermionic wave functions using boundary-conditioned normalizing flows. …”
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Improving student understanding of fermionic and bosonic wave function by Christof Keebaugh, Emily Marshman, Chandralekha Singh

“…We discuss how research on student difficulties was used as a guide to develop, validate, and evaluate a Quantum Interactive Learning Tutorial (QuILT) to help students learn how to determine the completely symmetric bosonic or completely antisymmetric fermionic wave function and be able to compare and contrast them from the case when the particles can be treated as distinguishable. …”
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Functional information technology in geometry-graphic training of engineers by Irina D. Stolbova, Evgeniya P. Aleksandrova, Konstantin G. Nosov

“…The implementation of this model is based on the functional characteristics analysis of the applied technology training. …”
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The interplay between executive functions and updating predictive representations by Felipe Pedraza, Teodóra Vékony, Bence C. Farkas, Frederic Haesebaert, Romane Phelipon, Imola Mihalecz, Karolina Janacsek, Barbara Tillmann, Royce Anders, Gaën Plancher, Dezso Nemeth

“…However, the interplay between executive functions (EF) and the rewiring – or updating – of these probabilistic representations remains largely unexplored. …”
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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

“…ObjectivesTo implement state-of-the-art deep learning architectures such as Deep-Residual-U-Net and DeepLabV3+ for precise segmentation of hippocampus and ventricles, in functional magnetic resonance imaging (fMRI). …”
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Adaptive Multi-Function Radar Temporal Behavior Analysis by Zhenjia Xu, Qingsong Zhou, Zhihui Li, Jialong Qian, Yi Ding, Qinxian Chen, Qiyun Xu

“…The performance of radar mode recognition has been significantly enhanced by the various architectures of deep learning networks. However, these approaches often rely on supervised learning and are susceptible to overfitting on the same dataset. …”
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2D physically unclonable functions of the arbiter type by V. N. Yarmolik, A. A. Ivaniuk

“…The effect of improving the characteristics of such PUFs has been experimentally confirmed with noticeable improvement in the stability of their functioning. It seems promising to further develop the ideas of constructing two-dimensional physically unclonable functions of the arbiter type, as well as experimental study of their characteristics, as well as resistance to various types of attacks, including using machine learning.…”
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Music Genre Classification Based on Functional Data Analysis by Jiahong Shen, Guangrun Xiao

“…This paper proposes a noval method for MGC using functional data analysis (FDA) to represent music signals as smooth functions, capturing their temporal and harmonic properties more naturally. …”
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Brain functions emerge as thermal equilibrium states of the connectome by Elkaïoum M. Moutuou, Habib Benali

“…A fundamental idea in neuroscience is that cognitive functions—such as perception, learning, memory, and locomotion—are shaped and constrained by the brain's structural organization. …”
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Systemic functional linguistics and a theory of language in education by Frances Christie

“…Two important themes in SFL theory, having significance for the emergence of language in education theory in Australia since the 1960s, have involved models of register and register variation on the one hand, and models of the functional grammar on the other hand. Register theory and the related theory of genre associated with the ‘Sydney School’ of SFL linguists, have developed considerably, helping to provide models of language for teaching and learning. …”
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Intranasal insulin for improving cognitive function in multiple sclerosis by Scott D. Newsome, Kathryn C. Fitzgerald, Abbey Hughes, Meghan Beier, Jacqueline Koshorek, Yujie Wang, Daniela Pimentel Maldonado, Thomas Shoemaker, Taimur Malik, Tarik Bayu, Pablo E. Ravenna, Ama Avornu, Elias S. Sotirchos, Meghan Romba, John Muschelli, Todd T. Brown, Peter A. Calabresi, Ellen M. Mowry

“…There is an urgent need to identify/develop novel therapies that can help cognitive function in MS. Insulin is critical for helping with regulation of multiple CNS functions, including learning and memory. …”
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Role of Striatal-Enriched Tyrosine Phosphatase in Neuronal Function by Marija Kamceva, Jessie Benedict, Angus C. Nairn, Paul J. Lombroso

“…Both high and low levels of STEP disrupt synaptic function and contribute to learning and behavioral deficits. …”
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Strength and functional conditioning training: analyzing practitioners' perceptions by Rafael David, António Manuel Azevedo, Paulo Eira

“…Objective: This study aims to analyze participants' perceptions regarding the motivations that lead them to either engage in or avoid strength and functional conditioning training. Methodology: The study group consisted of 189 participants from strength and/or functional training facilities (boxes), spread across three municipalities in the district of Viseu. …”
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