Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

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Visual impact of infill percentages for 3D printed radiologic simulators by Marco Antônio Bertoncini Andrade, Ana Paula Chaise Fin, Caroline de Oliveira Alves, Flávio Augusto Penna Soares, Matheus Brum Marques Bianchi Savi, Maria da Penha Albuquerque Potiens

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Modeling heart flow dynamics using numerical simulations to identify the vortex ring: A practical guideSimulation Codes by E. Lazpita, A. Mares, P. Quintero, J. Garicano-Mena, S. Le Clainche

“…In this study, we present a comprehensive numerical analysis of blood flow within human left ventricle models, with particular emphasis on optimizing simulation conditions to enhance the realism and computational efficiency of heart flow dynamics. The objective is to determine the most effective mesh configurations, flow conditions, and boundary settings necessary for accurately capturing the formation and behavior of the vortex ring—a pivotal element in ventricular flow dynamics. …”
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Animate, or Inanimate, That Is the Question for Large Language Models by Giulia Pucci, Fabio Massimo Zanzotto, Leonardo Ranaldi

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Detector properties of Cd0,9Zn0,1Te:Al under the influence of low doze gamma irradiation by А. И. Кондрик

“…Clarification of the influence of defects on detecting properties of CdZnTe detectors and understanding of the behavior of defects under the influence of aggressive radiation environment are very important to improve detector performance. …”
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An in silico approach to the mechanical design of meta-materials for adipose tissue engineering by Emanuele Luigi Carniel, Chiara Giulia Fontanella, Maria Vittoria Mascolini, Sofia Pettenuzzo, Ilaria Toniolo, Alice Berardo

“…They offer the capability to mimic tissue configurations at the meso-structural level and replicate mechanical properties, making them invaluable in this field.This work proposes a computational mechanics framework to characterize and parameterize the mechanical behavior of meta-materials that potentially can mimic the adipose tissue. …”
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Gene mutation, clinical characteristics and pathology in resectable lung adenocarcinoma by Ji’an Zou, Wei Han, Yan Hu, Chao Zeng, Jina Li, Weixuan Lei, Jieming Cao, Quanming Fei, Mengqi Shao, Junqi Yi, Zeyu Cheng, Li Wang, Fang Wu, Wenliang Liu

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Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison by Kim Ulrich, Kim Ulrich, Fabian Scheckenbach, Tak Ming Wong, Tak Ming Wong, Tom Masselter, Silja Flenner, Anaclara Visconti, Anaclara Visconti, Anaclara Visconti, Martin Nopens, Andreas Krause, Sergej Kaschuro, Jakob Benedikt Mietner, Thomas Speck, Thomas Speck, Imke Greving, Berit Zeller-Plumhoff, Berit Zeller-Plumhoff, Linnea Hesse, Linnea Hesse

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Use of individual Google Location History data to identify consumer encounters with food outlets by Olufunso Oje, Ofer Amram, Perry Hystad, Assefaw Gebremedhin, Pablo Monsivais

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Profiling Dynamic Patterns of Single‐Cell Motility by Debonil Maity, Nikita Sivakumar, Pratik Kamat, Nahuel Zamponi, Chanhong Min, Wenxuan Du, Hasini Jayatilaka, Adrian Johnston, Bartholomew Starich, Anshika Agrawal, Deanna Riley, Leandro Venturutti, Ari Melnick, Leandro Cerchietti, Jeremy Walston, Jude M. Phillip

“…This framework allows quantification of spatial and temporal heterogeneities, determination of single‐cell motility behaviors across various biological conditions and provides a visualization scheme for direct interpretation of dynamic cell behaviors. …”
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Physical inactivity exacerbates pathologic inflammatory signalling at the single cell level in patients with systemic lupusResearch in context by Sarah L. Patterson, Hoang Van Phan, Chun Jimmie Ye, Cristina Lanata, Sebastián Cruz González, Joonsuk Park, Lindsey A. Criswell, Kamil E. Barbour, Jinoos Yazdany, Maria Dall’Era, Marina Sirota, Patricia Katz, Charles R. Langelier

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Popular but precarious: low helmet use among shared micromobility program riders in San Francisco by Willow Frye, Willow Frye, Lara Chehab, Lara Chehab, Joshua Feler, Laura Wong, Amy Tan, Benjamin Alpers, Benjamin Alpers, Devika Patel, Devika Patel, Christiana von Hippel, Christiana von Hippel, Amanda Sammann, Amanda Sammann

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Modelling and Mechanical Characterization of a Metamaterial Inspired by the Spinodal Decomposition by Barbara Mandolesi, Christian Iandiorio, Valerio G. Belardi, Francesco Vivio

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A Gap Analysis Framework for an Open Data Portal Assessment Based on Data Provision and Consumption Activities by Sahaporn Sripramong, Chutiporn Anutariya, Patipat Tumsangthong, Theerawat Wutthitasarn, Marut Buranarach

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Transport Mode Choice for Disaggregated Mobility Demand Generation by Leo Strobel, Marco Pruckner

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Migration of a urethral foreign body into the scrotum in an adolescent: a case report by Ye Wu, Jian-He Wu, Xian-Ya He, Yi-Ming Zeng, Yong-Jun Yang, Yuan-Wei Li, Qiang Lu

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The Application of Artificial Intelligent Algorithms in Electric Propulsion by Tian Bin, An Bingchen, Xie Kan, Yang Sulan

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Numerical Evaluation of Abdominal Aortic Aneurysms Utilizing Finite Element Method by Konstantinos Kyparissis, Nikolaos Kladovasilakis, Maria-Styliani Daraki, Anastasios Raptis, Polyzois Tsantrizos, Konstantinos Moulakakis, John Kakisis, Christos Manopoulos, Georgios E. Stavroulakis

“…Towards this direction, Finite Element Models (FEMs) have emerged as a pivotal tool in medical research, particularly in simulating and understanding the complex fluid and structural behaviors of the circulatory system. Furthermore, this tool can be used for the calculation of certain risks regarding the function of the blood vessels. …”
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Application of the Endurance Time Method in the Seismic Assessment of Moment-Resisting Reinforced Concrete Frames with Setbacks by Mehdi Izadpanah

“…Given that higher vibration modes can significantly influence the responses of irregular frames, it is essential to investigate the seismic behavior of these structures. In this research, making use of nonlinear dynamic analysis, the seismic behavior of irregular moment resisting frames is assessed. …”
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Machine learning-derived cumulative health measure for assessing disease impact in dairy cattle by Afef Marzougui, Craig S. McConnel, Amber Adams-Progar, Tyler D. Biggs, Stephen P. Ficklin, Sindhuja Sankaran

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