Geometric Distribution Weight Information Modeled Using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method by Wen-Sheng Chen, Chu Zhang, Shengyong Chen

“…It is known that geometric distribution weight information of image data plays an important role in machine learning approaches. However, FLDA does not employ the geometric distribution weight information of facial images in the training stage. …”
Get full text

Impact of Chronic Intermittent Hypoxia on Cognitive Function and Hippocampal Neurons in Mice: A Study of Inflammatory and Oxidative Stress Pathways by Zhang K, Ma D, Wu Y, Xu Z

“…The hippocampus is primarily associated with cognitive functions such as learning and memory. This study aimed to explore the effects of CIH on cognitive function and hippocampal neurons in mice and to reveal its potential molecular mechanisms.Methods: SPF-grade C57BL/6J mice (n=36) were selected as subjects and divided into control, mild CIH, and severe CIH groups (12 mice per group). …”
Get full text

Exploring computational thinking, executive functions, visuospatial skills and experiences with toys in early childhood: Protocol for a controlled trial by Carolina Robledo-Castro, Camilo Vieira Mejía, Jennifer Chiu

“…The research aims to evaluate the effect of a robotics-based computational thinking program on executive functions and visuospatial skills in preschool children. …”
Get full text

Flow-Based Community Search Approach for Functionally Cohesive Building Group Recognition: A Case Study on Commercial Complexes by Taiyang Yang, Pengxin Zhang, Daozhu Xu, Pengcheng Liu, Min Yang

“…The approach consists of graph representation learning, flow-based community generation, and community quality assessment, enabling adaptive building group recognition based on both structural coherence and functional similarity. …”
Get full text

Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency by Mohamed Ouardouz, Patrick Jasinski, Mohamed Khalife, J. Matthew Mahoney, Amanda E. Hernan, Rod C. Scott

“…The genetic mutation results in multiple molecular alterations that are hypothesized to negatively impact neural circuit development although the nature of any functional neural dynamic consequences remain unclear. …”
Get full text

Using Corpora to enhance learners’ synonymous verb collocations by Yi-Ju (Ariel) Wu, Hui-Chin Yeh

“…Hence, the study accentuates DDL’s anticipated function in the instructional framework of second language acquisition, calling for additional scrutiny to refine its execution.…”
Get full text

Caputo Barrier Functions and Their Applications to the Safety, Safety-and-Stability, and Input-to-State Safety of a Class of Fractional-Order Systems by Zheren Zhu, Bingbing Shen, Le Yao, Yi Chai, Zhihuan Song

“…Moreover, the introduction of barrier functions has even expanded the research approaches on safe reinforcement learning. …”
Get full text

Unpacking linguistic features in EFL textbooks using systemic functional linguistics: Transitivity, Mood, and nominal group structure analysis by Hieronimus Canggung Darong, Maksimus Regus

“…Systemic functional linguistics provides a systematic and comprehensive approach to examining language use, offering valuable information about the construction of meaning in the context of experiential, interpersonal, and textual metafunctions. …”
Get full text

SSAT: Sensor-Satellite Auto-Correlation Transformer for Enhanced Aerosol Optical Depth Prediction by Maoquan Zhang, Bisser Raytchev, Juan Cuesta, Farouk Lemmouchi, Maithili Karle, Daniel Andrade

Subjects: “…enhanced spatio-temporal prediction by GridMSE loss function…”
Get full text

Association between composite dietary antioxidant index and cognitive function impairment in the elderly: evidence from NHANES 2011–2014 by Yingying Qian, Qiang Liu, Tianlang Li

“…ObjectiveAntioxidant-rich diets are posited as protective factors against cognitive function impairment. The Composite Dietary Antioxidant Index (CDAI) serves as a pivotal measure of antioxidant intake, yet its relationship with cognitive function impairment has been sparsely investigated. …”
Get full text

Study on combustion reaction products and free radicals of aliphatic hydrocarbon functional groups in coal based on ML potential MD by Jinzhang Jia, Yumo Wu, Dan Zhao, Fengxiao Wang, Dongming Wang, Qiang Yang, Yinghuan Xing

“…This study examines the combustion and pyrolysis reaction mechanisms of three distinct aliphatic hydrocarbon functional groups utilising the Machine Learning Potential Molecular Dynamics (ML potential MD) method, with validation conducted through thermogravimetric-Fourier transform infrared spectroscopy (TG-FTIR) and in-situ FTIR experiments. …”
Get full text

STRUCTURAL RELIABILITY ANALYSIS METHOD BASED ON COLLABORATION-MEAN POINT CONSTRAINED ACTIVE LEARNING SURROGATE MODEL

“…The reliability of mechanical structures is crucial for their safe operation,to address the problem of low accuracy and low efficiency in reliability analysis of complex mechanical structures,a new active learning surrogate model based reliability analysis method was proposed.The spatial location characteristics of excellent fitting samples were studied and three constraints,such as surface constraint,distance constraint,and domain constraint,were proposed accordingly.Correspondingly,three control functions were established to achieve the three constraints.Then,three control functions were organically collaborated,and an effective new learning function,collaboration-mean point constrained learning(CPCL)function was proposed.Combined with the augmented radial basis function(ARBF),a collaboration-mean point constrained active learning surrogate model(ARBF+CPCL)reliability analysis method was established.Finally,three cases were employed to verify the high computational accuracy and computational efficiency of ARBF+CPCL reliability analysis method,and the application ability of ARBF+CPCL method in practical engineering cases was proved through the reliability analysis example of the turbine disk.…”
Get full text

A cross-sectional study on peroneal muscle echogenicity changes and their effects on balance functions in individuals with chronic ankle instability by Cheryl Shu Ming Chia, Sai-Chuen Fu, Violet Man-Chi Ko, Ming Wang, Yuxin Zuo, Patrick Shu-Hang Yung, Samuel Ka-Kin Ling

Get full text

PLD3 is a neuronal lysosomal phospholipase D associated with β-amyloid plaques and cognitive function in Alzheimer's disease. by Alex G Nackenoff, Timothy J Hohman, Sarah M Neuner, Carolyn S Akers, Nicole C Weitzel, Alena Shostak, Shawn M Ferguson, Bret Mobley, David A Bennett, Julie A Schneider, Angela L Jefferson, Catherine C Kaczorowski, Matthew S Schrag

“…Phospholipase D3 (PLD3) is a protein of unclear function that structurally resembles other members of the phospholipase D superfamily. …”
Get full text

Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines by Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti

“…In this work, we evaluate the partition function of magnetic spin and spin-like systems mapped into RBMs using AIS. …”
Get full text

Identifying students of concern. Primary school teachers’ reflections on assessing students’ general school functioning based on the concept of typicality by Stine Ekornes, Solveig Holen, Jo Magne Ingul, Simon-Peter Neumer, Frode Adolfsen, Elisabeth Valmyr Bania

“…IntroductionThe present paper explores how Norwegian primary school teachers’ reason and reflect when assessing students’ general school functioning in Teacher’s Report Form (TRF), where teachers are asked to compare students of concern with what is perceived as a typical student at the same age, regarding work effort, behavior, learning capacity and mood.MethodsThe teachers in the sample (n = 7) had recently filled out the TRF as part of their participation in The Echo Study, utilizing the cognitive behavior therapy program Emotion for sad and anxious children.ResultsThe results show that teachers base their assessments much on person-relative, rather than group- or age relative comparisons, e.g., what is normal for the individual student. …”
Get full text

The Effectiveness of an App-Based Fitness Program on Self-Perceived Physical Functioning in Older Adults: Randomized Waitlist-Controlled Trial by Siegfried Eisenberg, Birgit Trukeschitz

“…The app comprised 3 functions, a multicomponent fitness exercise program, recommendations for outdoor activities, and e-learning courses. …”
Get full text

CHCHD4 Oxidoreductase Activity: A Comprehensive Analysis of the Molecular, Functional, and Structural Properties of Its Redox-Regulated Substrates by Nicole Balasco, Nazanine Modjtahedi, Alessandra Monti, Menotti Ruvo, Luigi Vitagliano, Nunzianna Doti

Get full text

Multi-omics analysis reveals cancer stemness function and establishes a predictive model for thyroid cancer prognosis and immunotherapy by Zhanrong Feng, Yue Xu, Ying Ding, Xiaoxiao Sun, Qian Zhao, Jingjing Zhu, Qiang Chen, Yang Zhang, Yilai Zhang

Get full text

Novice Inter-Rater Reliability on the Selective Functional Movement Assessment (SFMA) After a 4-Hour Training Session by Brent Harper, Adrian Aron

“…# Background The Selective Functional Movement Assessment (SFMA) is a whole-body movement classification system that identifies non-optimal movement performance requiring further assessment. …”
Get full text