Vitamin D and focal brain atrophy in PD with non-dementia: a VBM study by Yingying Xu, Erlei Wang, Qilin Zhang, Jing Liu, Weifeng Luo

“…The simple linear regression analyses between serum 25-hydroxyvitamin D levels and the scores of subtests that analyzed cognitive function showed that serum 25-hydroxyvitamin D levels were negatively correlated with Trail Making Test-A scores and positively correlated with Symbol Digit Modalities Test and Auditory Verbal Learning Test scores. …”
Get full text

Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis by Lior Molcho, Neta B. Maimon, Talya Zeimer, Ofir Chibotero, Sarit Rabinowicz, Vered Armoni, Noa Bar On, Nathan Intrator, Ady Sasson

“…EEG patterns, particularly Gamma band activity, demonstrated promising associations with cognitive load and cognitive decline, highlighting the value of EEG in understanding cognitive function. The study highlights the feasibility of using a single-channel EEG device combined with advanced machine learning models, offering a practical and accessible method for evaluating cognitive function and identifying individuals at risk in various settings.…”
Get full text

Enhancing PM2.5 prediction by mitigating annual data drift using wrapped loss and neural networks. by Md Khalid Hossen, Yan-Tsung Peng, Meng Chang Chen

“…In many deep learning tasks, it is assumed that the data used in the training process is sampled from the same distribution. …”
Get full text

Qifuyin against CCL11-Induced cognitive impairment by inhibiting microglial senescence via CCR3 signaling by Sheng Tian, Tianyuan Ye, Chao Tian, Yipeng Zhang, He Li, Hui Shen, Youhua Xu, Xiaorui Cheng

“…Conclusion This study discovered that CCL11 precipitates microglia senescence in brain, resulting in synaptic structural damage and impaired neuronal functional plasticity, hence causing disruptions in learning and memory functions. …”
Get full text

Usefulness of Radiomics and Kidney Volume Based on Non-Enhanced Computed Tomography in Chronic Kidney Disease: Initial Report by Piotr Białek, Adam Dobek, Krzysztof Falenta, Ilona Kurnatowska, Ludomir Stefańczyk

“…Kidney segmentations, volume measurements, and RDX features extraction were performed. Machine-learning models using RDX were constructed to classify the kidneys as having structural markers of impaired or normal function. …”
Get full text

Visual discrimination training increases the speed stimulus processing and leads to an earlier onset of stimulus encoding. by Camila Bustos, Rodrigo Montefusco-Siegmund, Fernando Peña, María de la Luz Aylwin

“…Twenty seven participants developed perceptual learning and expertise through discrimination of pairs of Kanji stimuli across six sessions. …”
Get full text

Building Change Detection Network Based on Multilevel Geometric Representation Optimization Using Frame Fields by Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo

“…Furthermore, a discriminative loss function is constructed through multi-task learning to optimize the polygonal structured information of the building targets. …”
Get full text

Holistic Education for a Resilient Future: An Integrated Biomimetic Approach for Architectural Pedagogy by Lidia Badarnah

“…Bloom’s Taxonomy provides a scaffold for learning progression, while the Function–Structure–Behavior (FSB) schema enhances the establishment of cross-disciplinary bridges to enable students to address complex design challenges. …”
Get full text

A Prism of Identities in Motion: Language Attitudes and Self-Reflection in Immigrant Women Through the Lithuanian Language by Peccini Angelica

“…Overall attitudes are positive, and learning Lithuanian, together with codifying cultural constructs, helps achieve the women’s feeling of personal independence to function in society as active citizens, not as temporary guests. …”
Get full text

Attention-Based Multi-Objective Control for Morphing Aircraft by Qien Fu, Changyin Sun

“…This paper proposes a learning-based joint morphing and flight control framework for avian-inspired morphing aircraft. …”
Get full text

Enhancing South African science education: The impact of concept cartoons on teaching terminology during science investigations in intermediate phase by Warda Abrahams

“…Results: The study identified three themes: (1) Teachers and scientific investigations, (2) Concept cartoons enable scientific talk, and (3) Concept cartoons contribute to teacher learning. The results suggested that concept cartoons function as a valuable resource for teachers, enhancing learners’ comprehension and engagement, and embodying intrinsic characteristics of an educative curriculum material. …”
Get full text

Distance Education: Parents' Perception by M. A. Abramova, R. V. Kamenev

“…The  relevance  of  the study  is  due  to  the  lack  of  information  for  analyzing parents' perception of the problems of introducing distance learning in secondary schools in the conditions of COVID-19. …”
Get full text

An optimal representation to Random Maximum k Satisfiability on the Hopfield Neural Network for High order logic(k ≤ 3) by Hamza Abubakar

“…Several optimization problems associated with machine learning (ML) and artificial intelligence (AI) have been expressed on the Hopfield neural network(HNN) optimally by modelling the problem into variables to minimize the objective function that corresponds to Lyapunov energy function of the Hopfield neural network(HNN).  …”
Get full text

Sleep Spindle Characteristics in Children with Neurodevelopmental Disorders and Their Relation to Cognition by Reut Gruber, Merrill S. Wise

“…Empirical evidence indicates that sleep spindles facilitate neuroplasticity and “off-line” processing during sleep, which supports learning, memory consolidation, and intellectual performance. …”
Get full text

CMAB: A Multi-Attribute Building Dataset of China by Yecheng Zhang, Huimin Zhao, Ying Long

“…We trained bootstrap aggregated XGBoost models with city administrative classifications, incorporating morphology, location, and function features. Using multi-source data, including billions of remote sensing images and 60 million street view images (SVIs), we generated rooftop, height, structure, function, style, age, and quality attributes for each building with machine learning and large multimodal models. …”
Get full text

Yoga pose recognition using dual structure convolutional neural network by Xiang Meng, Zhaobing Liu

“…With the development of deep learning technologies, automatic recognition of yoga postures has become popular. …”
Get full text

Gradient Flow Decoding by Tadashi Wadayama, Lantian Wei

“…GF decoding, a continuous-time methodology based on gradient flow, employs a potential energy function associated with bipolar codewords of LDPC codes. …”
Get full text

BMP signaling mediates effects of exercise on hippocampal neurogenesis and cognition in mice. by Kevin T Gobeske, Sunit Das, Michael A Bonaguidi, Craig Weiss, Jelena Radulovic, John F Disterhoft, John A Kessler

“…Exercise exposure does not rescue these deficits, suggesting that reduced BMP signaling is required for environmental effects on neurogenesis and learning. Together, these observations show that BMP signaling is a fundamental mechanism linking environmental exposure with changes in cognitive function and cellular properties in the hippocampus.…”
Get full text

Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making. by Joseph J Ziminski, Polytimi Frangou, Vasilis M Karlaftis, Uzay Emir, Zoe Kourtzi

“…Experience and training are known to boost our skills and mold the brain's organization and function. Yet, structural plasticity and functional neurotransmission are typically studied at different scales (large-scale networks, local circuits), limiting our understanding of the adaptive interactions that support learning of complex cognitive skills in the adult brain. …”
Get full text

Uncovering the relationship between working memory and performance in the Jigsaw classroom. by Eva Vives, Marco Bressan, Céline Poletti, Denis Caroti, Fabrizio Butera, Pascal Huguet, ProFAN consortium, Isabelle Régner

“…The present study examined whether working memory capacity, a key executive function for academic achievement and learning, mediated or moderated the effects of Jigsaw classroom on individual performance. …”
Get full text