External and Internal Load Response to Different Refereeing Techniques and to Sex of Players in Basketball Games by David Mancha-Triguero, Alberto Sánchez-Sixto, Carlos D. Gómez-Carmona, Eduardo Salazar-Martínez

“…Physical and physiological demands were measured using inertial devices and heart rate monitors during 37 matches (18 men’s and 19 women’s). …”
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Human creativity versus artificial intelligence: source attribution, observer attitudes, and eye movements while viewing visual art by Caitlin V. Cunningham, Gabriel A. Radvansky, James R. Brockmole

“…Participants were surveyed after viewing to ascertain their opinions on the quality and artistic merit of the pieces.ResultsParticipants’ gaze patterns (fixation counts, fixation durations, fixation dispersion, saccade amplitude, blink rate, saccade peak velocity, and pupil size) did not differ based on who they believed created the pieces, but their subjective opinions of the pieces were significantly more positive when they believed pieces were created by humans as opposed to AI.DiscussionThis study did not obtain any evidence that a person’s explicit “valuation” of artworks modulates the pace or spatial extent of visual exploration nor the cognitive effort expended to develop an understanding of them.…”
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A GPT-Based Approach for Cyber Threat Assessment by Fahim Sufi

“…Notably, anomaly detection identified six significant deviations during the monitored timeframe, starting from 25 September 2023 to 25 November 2024, with a sensitivity of 75%, revealing critical insights into unusual activity patterns. The fully deployed automated model also identified 11 correlated factors and five unique clusters associated with high-rated cyber incidents. …”
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Effective Detection of Cloud Masks in Remote Sensing Images by Yichen Cui, Hong Shen, Chan-Tong Lam

“…Subsequently, the second up-sampling module concatenates feature map channels to fuse contextual spatial information, which effectively reduces the false detection rate of unpredictable targets hidden in cloud shadows. …”
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Exploring the complex associations between community public spaces and healthy aging: an explainable analysis using catboost and SHAP by Man Zhang, Tao Shen, Ying Li, Qianqian Li, Yongqi Lou

“…An explainable machine learning approach, incorporating CatBoost and SHAP, was used to identify key correlates and patterns of interaction among features. Results Destination accessibility, public transport, residential density, and walking infrastructure were positively associated with all health dimensions, while traffic complexity and crime rate showed consistent negative associations. …”
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The effect of cognitive avoidance on rumination in college students: the chain mediating role of perfectionism and stress by Debao An, Debao An, Jiale Wang, Yeling Xia, Wenlong Xing

“…These findings suggest that cognitive avoidance influences rumination directly and indirectly through perfectionism and stress, offering insights into maladaptive cognitive-emotional patterns in college students.…”
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What Motivates Companies to Take the Decision to Decarbonise? by Stefan M. Buettner, Werner König, Frederick Vierhub-Lorenz, Marina Gilles

“…For instance, long-term cost risks were rated more relevant than reputational gains or regulatory compliance. …”
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1D-CNN and A Weight-Based Balancing Technique for Improved Detection of Non-Technical Losses in Power Distribution Systems by Rajitroj Nattaya, Seepromting Katsarin, Chatthaworn Rongrit

“…Load profiles were collected from the smart meter database of the Provincial Electricity Authority (PEA) in Khon Kaen, Thailand, covering seasonal variations—winter, summer, and rainy seasons—to ensure comprehensive pattern representation. The weight-based balancing technique leverages real-world insights of abnormal patterns of load profiles to generate synthetic abnormal data with realistic characteristics and proportions. …”
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PhysioDimClassifier—imbalance data classifier model for IoMT-based remote patient monitoring systems by Sayyed Johar, G.R. Manjula

“…By analyzingsequence interruptions, the model improves the retention of imbalanced data patterns, reducing misclassification. Experimental validation demonstrates that PDCM enhances data accuracy by up to 12.61 %, improves imbalance data detection by 13.23 %, increases classification rate by 10.98 %, lowers data imbalance by 11.22 %, and decreases assessment time by 10.5 %. …”
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Expression profiling the temperature-dependent amphibian response to infection by Batrachochytrium dendrobatidis. by Laia Ribas, Ming-Shi Li, Benjamin J Doddington, Jacques Robert, Judith A Seidel, J Simon Kroll, Lyle B Zimmerman, Nicholas C Grassly, Trenton W J Garner, Matthew C Fisher

“…In order to understand how, and when, hosts mount a response to Bd we analysed infection dynamics and patterns of gene expression in the model amphibian species Silurana (Xenopus) tropicalis. …”
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Autonomic correlates of osteopathic manipulative treatment on facial functional mapping: an innovative approach based on thermal imaging by Francesco Cerritelli, David Perpetuini, Jordan Keys, Arcangelo Merla, Daniela Cardone

“…Preliminary studies suggested a parasympathetic effect of OMT, evidenced by heart-rate-variability analysis. A cross-over RCT on healthy adults was conducted to compare OMT with sham therapy. …”
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ON THE HEALTH OF PRESCHOOL CHILDREN OF KRASNODAR REGION RURAL LOCALITY by L. V. BATRAKOVA, P. V. NEFEDOV, I. S. ZACHARCHENKO

“…The results of the study also  showed gender differences in the morbidity patterns of preschool  children, indicating that girls are at risk.…”
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THERMAL IMAGING AND GYMNASTICS INJURIES: A MEANS OF SCREENING AND INJURY IDENTIFICATION by William A. Sands, Jeni R. McNeal, Michael H. Stone

“… Gymnasts have a relatively high injury rate and severity with highly qualified gymnasts suffering the most. …”
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Effect of Sodium Nitroprusside with Plant Growth Regulators on in vitro Propagation and Genetic Stability of ‘Barhee’ Date Palm (Phoenix dactylifera L.) by Al-Mayahi Ahmed Madi Waheed

“…Monomorphic banding patterns obtained in RAPD-PCR and ISSR-PCR in tissue culture-derived and parental plants confirmed genetic stability. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Flatband nonlinear metasurface for broad-angle photon-pair generation by Yuxin Jiang, Jihua Zhang, Jinyong Ma, Dragomir N. Neshev, Andrey A. Sukhorukov

“…We demonstrate that tailored partially etched patterns in a lithium niobate metasurface can facilitate a flatband across a wide transverse wavevector range (±0.2 rad/μm) around a 1573 nm wavelength. …”
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The Propagation Properties of a Longitudinal Orbital Angular Momentum Multiplexing System in Atmospheric Turbulence by Qinghua Tian, Lei Zhu, Yongjun Wang, Qi Zhang, Bo Liu, Xiangjun Xin

“…A novel multichannel free-space optical (FSO) communication system based on orbital angular momentum (OAM) carried by frozen waves with different longitudinal patterns is studied in this paper. The longitudinal OAM multiplexing (LOAMM) system is simulated under atmospheric turbulence, which is based on the split-step Fourier transform method and includes multiple random phase screens. …”
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Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review by Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider

“…These sensors capture extensive parameters such as acceleration force, gravitation, rotation rate, magnetic field strength, and vehicle speed, providing a detailed understanding of road conditions and driving behaviors. …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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Interface evolution of microdroplets in flow-focusing channels with varying aspect ratios by Luyao He, Bo Wang, Qingquan Liu, Xiaodong Chen

“…Microchannels with aspect ratios of 1, 1/2 and 1/3 are designed, where droplets are generated at the first flow-focusing junction, and three distinct flow patterns – no breakup, single breakup and multiple breakups – are observed at the second flow-focusing junction. …”
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