Optimal information gain at the onset of habituation to repeated stimuli by Giorgio Nicoletti, Matteo Bruzzone, Samir Suweis, Marco dal Maschio, Daniel Maria Busiello

“…Biological and living systems process information across spatiotemporal scales, exhibiting the hallmark ability to constantly modulate their behavior to ever-changing and complex environments. …”
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Subcellular Partitioning of Trace Elements Is Related to Metal Ecotoxicological Classes in Livers of Fish (<i>Esox lucius; Coregonus clupeaformis</i>) from the Yellowknife Area (No... by Aymeric Rolland, Mike Palmer, John Chételat, Marc Amyot, Maikel Rosabal

“…This study supports the use of classes of metals to predict the toxicological risk of data-poor metals in mining areas.…”
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Strain rate and temperature dependent viscoplasticity of sintered Cu nanoparticles by Leiming Du, Gerald Schaffar, René H. Poelma, Jiajie Fan, Willem D. van Driel, Xuejun Fan, Daniel Kiener, Guoqi Zhang, Verena Maier-Kiener

“…The Anand viscoplastic model accurately predicts these deformation behaviors. Microstructural analysis via scanning electron microscopy (SEM) and transmission electron microscopy (TEM) reveals localized deformation at 175°C, with dislocations concentrated near the top surface and persistent porosity below, whereas at 350°C, re-sintering and grain boundary diffusion create a denser microstructure. …”
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Enhanced Recovery of Food-Grade <i>Euglena gracilis</i> Biomass Through Synergistic pH-Modified Chitosan Flocculation and Green Light Stimulation by Jiangyu Zhu, Lan Yang, Li Ding, Zhengfei Yang, Yongqi Yin, Minato Wakisaka, Shahram Ashouri, Mohammadhadi Jazini, Weiming Fang

“…This study presents an innovative, food-safe approach integrating pH preconditioning, chitosan biopolymer flocculation, and green light irradiation to leverage <i>E. gracilis’</i> natural phototactic behavior. Response surface methodology optimized the parameters (pH 6.49, 46.10 mg·L⁻¹ chitosan, and 60 min green light), achieving 93.07% biomass recovery, closely matching the predicted 92.21%. …”
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Study on the two thermodynamic states of large-scale RF plasma discharge by Yue Niu, Weimin Bao, Donglin Liu, Xiaoping Li, Yanming Liu

“…Discharge models under local thermal equilibrium (LTE) and thermodynamic nonequilibrium (NLTE) conditions are developed to reveal the discharge behavior of a high-power ICP generator under different thermodynamic states. …”
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Integrating novel stellarator single-stage optimization algorithms to design the Columbia stellarator experiment by A. Baillod, E.J. Paul, G. Rawlinson, M. Haque, S.W. Freiberger, S. Thapa

“…The Columbia Stellarator eXperiment (CSX), currently being designed at Columbia University, aims to test theoretical predictions related to QA plasma behavior, and to pioneer the construction of an optimized stellarator using three-dimensional, non-insulated high-temperature superconducting (NI-HTS) coils. …”
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MagicCraft: Natural Language-Driven Generation of Dynamic and Interactive 3D Objects for Commercial Metaverse Platforms by Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa

“…MagicCraft uses generative AI models to manage the entire content creation pipeline: converting user text descriptions into images, transforming images into 3D models, predicting object behavior, and assigning necessary attributes and scripts. …”
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The influence mechanism of radiation shielding functional ceramsite on the performance and microstructure of UHPC by Jun Yang, Jianyu Li, Gaozhan Zhang, Peng Zhou, Qingjun Ding, Mingming Wu

“…However, the effective neutron removal cross-section calculations and experimental results yielded opposing outcomes, indicating that the neutron absorption behavior of UHPC is complex and requires further research.…”
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Interface Thermal Conductance of Nonequilibrium Thermal Transport across Nanoscale Metal Multilayers by Donghao Li, Zhongyin Zhang, Ziyang Wang, Gen Li, Jing Zhou, Jie Zhu, Dawei Tang

“…These experiment results revealed that nonequilibrium ITC at the Au/Cr interface closely matched the predicted value of 6 GW m−2 K−1 by the electronic diffuse mismatch model, which captures ultrafast thermal behavior within the first few picoseconds following femtosecond laser heating. …”
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Damage evolution and failure modes of coal-concrete composites with varying height ratios under cyclic loading by Renbo Gao, Fei Wu, Cunbao Li, Chunfeng Ye, Qingchuan He, Heping Xie

“…To ensure the safe implementation of underground reservoirs in abandoned coal mines, this study explores the mechanical behavior and failure mechanisms of coal-concrete composite structures under staged cyclic loading. …”
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Stabilizing brain-computer interfaces through alignment of latent dynamics by Brianna M. Karpowicz, Yahia H. Ali, Lahiru N. Wimalasena, Andrew R. Sedler, Mohammad Reza Keshtkaran, Kevin Bodkin, Xuan Ma, Daniel B. Rubin, Ziv M. Williams, Sydney S. Cash, Leigh R. Hochberg, Lee E. Miller, Chethan Pandarinath

“…Dynamics have been used to enable high-performance prediction of movement intention, and may also help improve stabilization. …”
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Parametric Analysis Towards the Design of Micro-Scale Wind Turbines: A Machine Learning Approach by Raneem Mansour, Seifelden Osama, Hazem Ahmed, Mohamed Nasser, Norhan Mahmoud, Amira Elkodama, Amr Ismaiel

“…Many aspects are considered when designing a wind turbine, including aerodynamic and power performance, structural loads and behavior, and control techniques. In the preliminary design stages, the governing equations of each design aspect are used to calculate the different loads and performance outputs while optimizing between them. …”
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Reliability analysis based on cascaded-Foster thermal networks for systems-in-package (SiP) by Djallel Eddine Touati, Aziz Oukaira, Mohamed Ali, Ahmad Hassan, Yvon Savaria, Ahmed Lakhssassi

“…The framework offers a multilayer analysis that uses unified units for each layer and incorporates a precise thermal model, enabling the rapid prediction of thermal behavior throughout the system's lifetime. …”
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Implications of Intra-Individual Variability in Motor Performance on Functional Mobility in Stroke Survivors by Neha Lodha, Prakruti Patel, Evangelos A. Christou, Anjali Tiwari, Manfred Diehl

“…Increased intra-individual variability (IIV) in behavior predicts functional decline in neurological disorders. …”
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Investigation on Relationship between Failure Patterns and Shear Strength of Rock Joints by CHEN Hao-xiang, WANG Ming-yang, JIN Tian-wei, QI Cheng-zhi, YI Yue-tong

“…Therefore, understanding the shear behavior of rock joints is of great importance for understanding the mechanical properties of rock masses, evaluating the safety and reliability of rock engineering, and exploring the mechanism of geological phenomena. …”
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Regional Frequency Analysis Using L-Moments for Determining Daily Rainfall Probability Distribution Function and Estimating the Annual Wastewater Discharges by Pau Estrany-Planas, Pablo Blanco-Gómez, Juan I. Ortiz-Vallespí, Javier Orihuela-Martínez, Víctor Vilarrasa

“…Therefore, understanding the annual behavior of rainfall events is becoming increasingly important. …”
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Personality and emotion—A comprehensive analysis using contextual text embeddings by Md. Ali Akber, Tahira Ferdousi, Rasel Ahmed, Risha Asfara, Raqeebir Rab, Umme Zakia

“…This paper aims to investigate the complex relationship between these two fundamental aspects of human behavior using the concepts of machine learning and statistical analysis. …”
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Development of a herpes zoster vaccination intention scale and identification of factors associated with vaccine hesitancy among middle-aged and older attendees in community health... by Ying Gao, Ting Wei, Ruijie Gong, Linfei Cai, Yuhui Sheng, Meili Shang, Yang Ni

“…Data on socio-demographic characteristics, health behaviors and vaccine hesitancy were collected using a structured questionnaire. …”
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Lung Cancer Screening in Family Members and Peers of Patients With Lung Cancer: Protocol for a Prospective Cohort Study by Isabelle Pitrou, Adriano Petrangelo, Charlotte Besson, Carmela Pepe, Annika Helen Waschke, Jason Agulnik, Anne V Gonzalez, Nicole Ezer

“…Multivariable logistic regression will identify the predictive factors of being referred for LC screening. …”
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A dream EEG and mentation database by William Wong, Rubén Herzog, Kátia Cristine Andrade, Thomas Andrillon, Draulio Barros de Araujo, Isabelle Arnulf, Somayeh Ataei, Giulia Avvenuti, Benjamin Baird, Michele Bellesi, Damiana Bergamo, Giulio Bernardi, Mark Blagrove, Nicolas Decat, Çağatay Demirel, Martin Dresler, Jean-Baptiste Eichenlaub, Valentina Elce, Steffen Gais, Luigi De Gennaro, Jarrod Gott, Chihiro Hiramatsu, Bjørn Erik Juel, Karen R. Konkoly, Deniz Kumral, Célia Lacaux, Joshua J. LaRocque, Bigna Lenggenhager, Remington Mallett, Sérgio Arthuro Mota-Rolim, Yuki Motomura, Andre Sevenius Nilsen, Valdas Noreika, Delphine Oudiette, Fernanda Palhano-Fontes, Jessica Palmieri, Ken A. Paller, Lampros Perogamvros, Antti Revonsuo, Elaine van Rijn, Serena Scarpelli, Monika Schönauer, Sarah F. Schoch, Francesca Siclari, Pilleriin Sikka, Johan Frederik Storm, Hiroshige Takeichi, Katja Valli, Erin J. Wamsley, Jennifer M. Windt, Jing Zhang, Jialin Zhao, Naotsugu Tsuchiya

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