Dynamic energy conversion in protein catalysis: From brownian motion to enzymatic function by Sarfaraz K. Niazi

“…Recent advances in computational biology and experimental techniques reveal that enzymatic catalysis fundamentally depends on proteins' ability to harness thermal energy through conformational fluctuations. Rather than functioning as rigid molecular locks, proteins operate as dynamic machines that continuously sample different structural states, with α-helices and β-sheets acting as sophisticated energy transduction elements that capture Brownian motion and channel it toward productive chemical transformations. …”
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IL-23 tunes inflammatory functions of human mucosal-associated invariant T cells by Laetitia Camard, Tharshana Stephen, Hanane Yahia-Cherbal, Vincent Guillemot, Sébastien Mella, Victoire Baillet, Hélène Lopez-Maestre, Daniele Capocefalo, Laura Cantini, Claire Leloup, Julie Marsande, Katherine Garro, Juan Sienes Bailo, Ambre Dangien, Natalia Pietrosemoli, Milena Hasan, Huimeng Wang, Sidonia B.G. Eckle, Anne M. Fourie, Carrie Greving, Barbara Joyce-Shaikh, Raphaelle Parker, Daniel J. Cua, Elisabetta Bianchi, Lars Rogge

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Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification by Christopher Liu, Juanjuan Fan, Barbara Bailey, Ralph-Axel Müller, Annika Linke

“…Functional connectivity MRI (fcMRI) is a technique used to study the functional connectedness of distinct regions of the brain by measuring the temporal correlation between their blood oxygen level-dependent (BOLD) signals. fcMRI is typically measured with the Pearson correlation (PC), which assumes that there is no lag between time series. …”
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Unlocking autism’s complexity: the Move Initiative’s path to comprehensive motor function analysis by Ashley Priscilla Good, Elizabeth Horn

“…The long-standing practice of using manualized inventories and observational assessments to diagnose and track motor function in autism overlooks critical data invisible to the naked eye. …”
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Potential role of ghrelin in neuroprotection and cognitive function: implications for diabetic cognitive impairment by Yuhan Zhang, Ruihua Zhang, Xin Wang, Leilei Shi, Hongzhe Zhu, Jiping Liu

“…In recent years, research has revealed that ghrelin may positively impact learning and memory. Despite ghrelin’s multiple functions in the central nervous system, its use as a therapeutic agent for neurologic dysfunction remains unclear. …”
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Modeling of Basic Processes of Labor Market Functioning and Development: Methodological and Practical Aspects by Zh. B. Kenzhin, Kh. U. Nursapina, Zh. Abzhanova, Zh. M. Bulakbay, T. K. Kuangaliyeva

“…Therefore, the study of basic processes of functioning and development of the labor market is an urgent task. …”
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JOB DESIGN IN THE FUNCTION OF IMPROVING THE JOB PERFORMANCE OF THE EMPLOYEES IN BOSNIA AND HERZEGOVINIAN COMPANIES by Alma Kovačević, Adisa Delić

“…New ways are sought to build and preserve competitive advantages, thus recognising that knowledge and learning are the key factors of success in the new economy. …”
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Wearable Wireless Functional Near-Infrared Spectroscopy System for Cognitive Activity Monitoring by Mauro Victorio, James Dieffenderfer, Tanner Songkakul, Josh Willeke, Alper Bozkurt, Vladimir A. Pozdin

“…From learning environments to battlefields to marketing teams, the desire to measure cognition and cognitive fatigue in real time has been a grand challenge in optimizing human performance. …”
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THE ROLE OF EXECUTIVE FUNCTIONS AND EMOTIONAL REGULATION IN SUBSTANCE USE – A SYSTEMATIC REVIEW by Robert-Andrei LUNGA, Maria-Miana DINA, Cornelia RADA

“…Use of opioids, cocaine, methamphetamine and cannabis was associated with significant deficits in executive functions and emotional regulation. Opioid users showed major difficulties in decision-making and learning, and cocaine users showed deficits in cognitive control. …”
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Not all forms of artificial intelligence are perceived equal: AI functions and work outcomes by Jieqiong Cao, Jingxian Yao, Shuhua Sun, Zhaoli Song, Fengzhi Zhang

“…Drawing from cognitive appraisal theory and threat-rigidity theory, the research proposes that these functions are differentially related to opportunity and threat appraisals, which in turn affect employees’ AI learning behavior and job insecurity. …”
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Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

“…With identical hyperparameters including a learning rate of 0.001, a batch size of 64 and training for 100 epochs using the Adam optimizer, ReLU, ELU, Leaky ReLU and Swish activation functions were compared. …”
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Development of Modified Temporal Safety Performance Function Considering Various Time Flows by Yeji Sung, Seunghwan Kim, Juneyoung Park, Ling Wang

“…Safety performance functions (SPFs) have become valuable tools for estimating the relationships between crashes and various causal factors when constructing crash-prediction models. …”
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Pericyte pannexin1 controls cerebral capillary diameter and supports memory function by Sandra Mai-Morente, Eugenia Isasi, Alberto Rafael, Gonzalo Budelli, Silvia Olivera-Bravo, Nathalia Vitureira, Verónica Abudara

“…Abstract In the blood-brain-barrier, contractile pericytes fine-tune the capillary resistance and blood supply to meet neuro-metabolic demands; molecular players governing these functions remain unclear. Here we show that mice cerebral pericytes express functional pannexin1 (Panx1) channels, which drive efflux of ATP, a key activator of pericyte contractility. …”
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Neuromodulation techniques for modulating cognitive function: Enhancing stimulation precision and intervention effects by Hanwen Cao, Li Shang, Deheng Hu, Jianbing Huang, Yu Wang, Ming Li, Yilin Song, Qianzi Yang, Yan Luo, Ying Wang, Xinxia Cai, Juntao Liu

“…These techniques utilize electrical stimulation to directly or indirectly target specific brain regions, modulating neural activity and influencing broader brain networks, thereby regulating cognitive function. Regulating cognitive function involves an understanding of aspects such as perception, learning and memory, attention, spatial cognition, and physical function. …”
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EEG Functional Connection Analysis Based on the Weight Distribution of Convolutional Neural Network by Jinglong Wu, Peiwen Huang, Tiantian Liu, Go Ritsu, Duanduan Chen, Tianyi Yan

“…In this paper, we innovatively combined the functional connection with the deep learning algorithms and analysed the matrices after the weight distribution of each layer of the convolutional neural network (CNN) to obtain the connections that play a vital role in the classification. …”
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Two stream GRU model with ELU activation function for sign language recognition by Kasian Myagila, Devotha Godfrey Nyambo, Mussa Ally Dida

“…This paper proposes the use of the Gated Recurrent Unit (GRU) with the ELU activation function to improve computation efficiency and to enhance model learning efficiency. …”
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AI Functionalities in Cobot-Based Manufacturing for Performance Improvement in Quality Control Application by Madis Moor, Martinš Sarkans, Tavo Kangru, Tauno Otto, Jüri Riives

“…In the long run, AI and ML can add a layer (functionality) to make IoT devices more interactive and user-friendly. …”
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Do knee orthoses affect the functional status of stroke patients? Review of the literature by Józef Opara, Bożena Kłysz, Iwona Sarzyńska-Długosz

“…Many patients require knee braces to learn to walk.Objective: The aim of the study was to present the current state of knowledge on the use of knee orthoses in patients with hemiparesis after stroke.Results: In this review article, the most commonly used scales used to assess the functional status of patients after stroke are discussed, with particular attention being paid to gait assessment. …”
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Insulin resistance, cognition, and functional brain network topology in older adults with obesity by Clayton C. McIntyre, Robert G. Lyday, Yixin Su, Barbara Nicklas, Sean L. Simpson, Gagan Deep, Shannon L. Macauley, Christina E. Hugenschmidt

“…NISAs were quantified according to an established neuron-derived small-extracellular-vesicle-based metric, R. An executive function composite score, summed scores to the Auditory Verbal Learning Test (AVLT) trials 1–5, and functional brain networks generated from resting-state functional magnetic resonance imaging data were outcomes in analyses. …”
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Functional Role of Internal and External Visual Imagery: Preliminary Evidences from Pilates by Simone Montuori, Giuseppe Curcio, Pierpaolo Sorrentino, Lidia Belloni, Giuseppe Sorrentino, Francesca Foti, Laura Mandolesi

“…The present study investigates whether a functional difference between the visualization of a sequence of movements in the perspective of the first- (internal VMI-I) or third- (external VMI-E) person exists, which might be relevant to promote learning. …”
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