Cognitive brain lateralization through neurovascular coupling in healthy subjects: A statistical complexity analysis by Héctor Rojas‐Pescio, Lucy Beishon, Ronney B. Panerai, Max Chacón

“…These findings indicate that NVC exhibits distinct complexity patterns based on hemisphere dominance and cognitive domain stimulated. …”
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Kinect-Based Gait Analysis System Design and Concurrent Validity in Persons with Anterolateral Shoulder Pain Syndrome, Results from a Pilot Study by Fredy Bernal, Veronique Feipel, Mauricio Plaza

“…As part of an investigation to detect asymmetries in gait patterns in persons with shoulder injuries, the goal of the present study was to design and validate a Kinect-based motion capture system that would enable the extraction of joint kinematics curves during gait and to compare them with the data obtained through a commercial motion capture system. …”
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A simple threshold rule is sufficient to explain sophisticated collective decision-making. by Elva J H Robinson, Nigel R Franks, Samuel Ellis, Saki Okuda, James A R Marshall

“…We use analytical and simulation modelling to demonstrate that this simple rule is sufficient to explain empirical patterns from three studies of collective decision-making in ants, and can account parsimoniously for apparent comparison by individuals and apparent hesitancy (recruitment latency) effects, when available nests differ strongly in quality. …”
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Microglial dynamics and neuroinflammation in prodromal and early Parkinson’s disease by Frida Lind-Holm Mogensen, Philip Seibler, Anne Grünewald, Alessandro Michelucci

“…Neuroimaging studies have provided valuable insights into the patterns of microglial activation detected in individuals with prodromal PD and at the time of clinical diagnosis. …”
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Matching Game Preferences Through Dialogical Large Language Models: A Perspective by Renaud Fabre, Daniel Egret, Patrice Bellot

“…The proposed D-LLM framework would require three main components: (1) reasoning processes that could analyze different search experiences and guide performance, (2) classification systems that would identify user preference patterns, and (3) dialogue approaches that could help humans resolve conflicting information. …”
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Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review by Ofir Arbili, Lior Rokach, Seffi Cohen

“…Our findings reveal that wearable sensors can monitor physiological signals like heart rate variability and electrodermal activity and biomechanical signals such as movement patterns to detect early signs of distress, anxiety, or potential injury. …”
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Nosocomial E. Coli Isolated from UTI Identified Using DNA Markers Based on PCR and Pathogenic Markers by Shler Ali Khorsheed

“…Understanding antimicrobial resistance patterns and genetic diversity among E. coli isolates is essential for effective treatment and infection control. …”
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Analysis of Climate Change and Land Use Effect on the Availability and Water Quality of Raw Water (Case Study: Cibangoak Intake of SPAM Ciparay at Tirta Raharja Local Public Water... by Ardiana Widyantari, Mariana Marselina, Edi Riawan, Arno Adi Kuntoro, Elly Kusumawati Budirahardjo

“…This study investigates the changes in rainfall patterns, temperature, and land use in the Cirasea Sub-watershed and their effects on water resources for the Tirta Raharja Water Utility, focusing on the Cibangoak Intake. …”
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An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction by Fabio Cassano, Anna Maria Crespino, Mariangela Lazoi, Giorgia Specchia, Alessandra Spennato

“…The proposed system is designed to process time-series data collected from an industrial printing machine’s embosser component, identifying error patterns that could lead to operational disruptions. …”
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On the sympatric evolution and evolutionary stability of coexistence by relative nonlinearity of competition. by Florian Hartig, Tamara Münkemüller, Karin Johst, Ulf Dieckmann

“…Our study highlights the need for combining ecological and evolutionary perspectives for gaining a better understanding of community assembly and biogeographic patterns.…”
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A Cloud-Based Framework for Creating Scalable Machine Learning Models Predicting Building Energy Consumption from Digital Twin Data by Elham Mahamedi, Alaeldin Suliman, Martin Wonders

“…Although machine learning (ML) techniques are increasingly used to predict building energy consumption from this DT data, existing approaches often lack scalability in handling data growth (data scalability) and/or adapting to evolving data patterns (model scalability). This study aims to address both drawbacks by developing a scalable cloud-based framework for the prediction of the building energy consumption. …”
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Data mining and safety analysis of FGFR tyrosine kinase inhibitors based on the FAERS database by Ping Li, Liming Wu, Zhihui Song

“…Time-to-onset analysis revealed that delayed median AE onset for erdafitinib (56.5 days) compared to pemigatinib (29 days) and futibatinib (25 days), although all exhibited early failure-type patterns. Subgroup analysis indicated an increased risk of death in futibatinib-treated patients aged < 65 years. …”
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Molecular typing of Staphylococcus aureus collected from a Major Hospital in Amman, Jordan by Dana A Bazzoun, Houda H Harastani, Asem A Shehabi, Sima T Tokajian

“…Samples were tested for their susceptibility patterns against seven antimicrobial agents and for their potential to form biofilms. …”
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Thrombotic complications in patients with hematological malignancies based on autopsy data by I. Ye. Dzis, O. Ya. Tomashevska, Ye. I. Dzis

“…The following data were obtained: age, sex, postmortem pathological patterns, locations of thrombi, and associated underlying diseases. …”
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The role of unpasteurized hawked milk in the transmission of brucellosis in Eldoret municipality, Kenya by Augustine Taban Namanda, Rose Kakai, Mary Otsyula

“…A milk consumption questionnaire was administered to households in the selected estates to establish their milk sources and consumption patterns. Data analysis involved comparing computed percentages of different variables. …”
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Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database. by Ryoya Tsunoda, Keitaro Kume, Rina Kagawa, Masaru Sanuki, Hiroyuki Kitagawa, Kaori Mase, Kunihiro Yamagata

“…For machine learning, the datasets were preprocessed in three patterns and assigned to the XGBoost program using five-fold cross-validation. …”
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Postural demands modulate tactile perception in the lower limb in young and older adults by Fabian Dominik Wachsmann, Katja Fiehler, Dimitris Voudouris

“…Such feedback signals are important for standing upright, as shown in increased and more variable sway patterns when sensory feedback is compromised, for instance when standing with eyes closed or on unstable surfaces that make cutaneous signals from the foot less reliable. …”
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EEG reveals the cognitive impact of polarized content in short video scenarios by Bangde Du, Ziyi Ye, Monika Jankowska, Zhijing Wu, Qingyao Ai, Yujia Zhou, Yiqun Liu

“…Our study demonstrated that just one week of exposure to polarized content can result in distinct patterns of behavior and brain activity during the perception of videos. …”
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Nanostructure Zinc Oxide with Cobalt Dopant by PLD for Gas Sensor Applications by A.A. Yousif, N.F. Habubi, A.A. Haidar

“…The X-Ray diffraction patterns of the films showed that the ZnO films and ZnO:Co films exhibit wurtzite crystal structure and high crystalline quality. …”
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Using patient biomarker time series to determine mortality risk in hospitalised COVID-19 patients: A comparative analysis across two New York hospitals. by Ben Lambert, Isaac J Stopard, Amir Momeni-Boroujeni, Rachelle Mendoza, Alejandro Zuretti

“…Model sensitivity was higher for detecting patients who would go on to be discharged (78.7%) versus those who died (61.8%). …”
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