Modeling resistive-inductive evolution of currents in Wendelstein 7-X by L. van Ham, S.A. Lazerson, J.C. Schmitt, B.F. Lee, M. Beurskens, K.J. Brunner, N. Chaudhary, G. Fuchert, J. Geiger, M. Hirsch, J. Knauer, A. Langenberg, J.W. Oosterbeek, N. Pablant, E. Pasch, K. Rahbarnia, G. Weir, the W7-X Team

“…Simulations of ECCD and heating power steps show THRIFT is capable of capturing the dynamical evolution of the current in response to changes in current sources. …”
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An aggregate stochastic model incorporating individual dynamics for predation movements of anelosimus studiosus by Alex John Quijano, Michele L. Joyner, Edith Seier, Nathaniel Hancock, Michael Largent, Thomas C. Jones

“…Stochastic models for animal movement and, in particular, spider predation movement have been developed previously; however, this paper focuses on the development and implementation of the necessary mathematical and statistical methods required to expand such a model in order to capture a variety of distinct behaviors. A least squares optimization algorithm is used for parameter estimation to fit a single stochastic model to an individual spider during predation resulting in unique parameter values for each spider. …”
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Flexural Behavior of UHPC Beams Reinforced with Macro-Steel Fibers and Different Ratios of Steel and GFRP Bars by Yousef Abbasi Parvin, Taleb Moradi Shaghaghi, Masoud Pourbaba, Seyed Saeed Mirrezaei, Yousef Zandi

“…Finally, nonlinear regression models were proposed that successfully capture the load-deflection behavior of the test specimens with coefficient of correlation ( ) very close to unity.…”
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Prevalence and size variation of feather mite, Analges slovakiensis Dabert, Mironov & Janiga, 2018, on the host Alpine accentor, Prunella collaris (Scopoli, 1769) by M. Janiga, N. Marčanová, Z. Kompišová Ballová

“…Analges slovakiensis Dabert, Mironov and Janiga, 2018 is a mite species that has co-evolved with the Alpine accentor Prunella collaris (Scopoli, 1786), an alpine songbird. We captured 150 Alpine accentors in the Western Carpathians in Slovakia to study the ecology and morphology of Analges slovakiensis. …”
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A neutrosophic framework for evaluating security measures in information systems by Jessica Santander Moreno, Jessica Alexandra Ortega Matoma, Marcelo Raúl Dávila Castillo, Jerson Alexis Ordóñez Sarchi

“…By integrating expert assessments with neutrosophic numbers, the framework captures truth, indeterminacy, and falsity in decision-making, ensuring a more nuanced evaluation. …”
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Towards a new era of 2D materials-based multifunctional composite films: From innovation to evolution by Muhammad Yasir Khalid, Rehan Umer

“…Moreover, the integrated functions of the 2D materials-based multifunctional composite films such as sensing and actuation behaviour, thermal conductivity, and electromagnetic interference (EMI) shielding effectiveness are explored and their mechanisms for superior performance are elucidated. …”
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Helminth absence and invasion success of blackchin tilapia (Sarotherodon melanotheron) in Thailand by Nannaphat Suwannarat, Alexis Ribas, Alexis Ribas, Jordi Miquel, Jordi Miquel, Srisupaph Poonlaphdecha, Srisupaph Poonlaphdecha

“…Fishermen provided data on the first capture dates in the surveyed areas to determine how long the populations have been established.ResultsNo helminths were detected in any of the examined fish. …”
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A Dual-Path Neural Network for High-Impedance Fault Detection by Keqing Ning, Lin Ye, Wei Song, Wei Guo, Guanyuan Li, Xiang Yin, Mingze Zhang

“…Our dual-branch network simultaneously processes both representations: the CNN extracts spatial features from the transformed images, while the GRU captures temporal features from the raw signals. To optimize model performance, we integrate the Crested Porcupine Optimizer (CPO) algorithm for the adaptive optimization of key network hyperparameters. …”
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Radiative forcing from the 2020 shipping fuel regulation is large but hard to detect by Jianhao Zhang, Yao-Sheng Chen, Edward Gryspeerdt, Takanobu Yamaguchi, Graham Feingold

“…Here we employ machine learning to capture cloud natural variability and estimate a radiative forcing of +0.074 ±0.005 W m−2 related to IMO2020 associated with changes in shortwave cloud radiative effect over three low-cloud regions where shipping routes prevail. …”
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Dynamic Spillovers of Economic Policy Uncertainty: A TVP-VAR Analysis of Latin American and Global EPU Indices by Nini Johana Marín-Rodríguez, Juan David González-Ruíz, Sergio Botero

“…Using a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model with monthly data, this study reveals the evolving spillover effects and dependencies capturing how uncertainty in one market can transmit across others on both regional and global scales. …”
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Review on the Relationship of Absorptive Capacity with Interorganizational Networks and the Internationalization Process by L. F. Agramunt, J. M. Berbel-Pineda, M. M. Capobianco-Uriarte, M. P. Casado-Belmonte

“…This was taken into account in order to optimize the accuracy of the search and to facilitate large data capture. The results show that these studies are in a period of high production and concentrated in a few countries and researchers’ networks in the United States, the People’s Republic of China, and some European countries. …”
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Chaotic Dynamics of an Airfoil with Higher-Order Plunge and Pitch Stiffnesses in Incompressible Flow by Karthikeyan Rajagopal, Yesgat Admassu, Riessom Weldegiorgis, Prakash Duraisamy, Anitha Karthikeyan

“…Both multistability and megastability features of the airfoil model were not captured earlier in the literatures. To be clear, it is the first time a megastable feature is exposed in a physical system. …”
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Cardiopatía isquémica. Atención primaria de salud by Luís Padrón Velázquez, Francisco Valladarez, Marcos D. Iraola Ferrer, Claudio González Rodríguez, René T. Manso Fernández

“…<p>En el siguiente art&iacute;culo se realiza una revisi&oacute;n de las evidencias actuales relacionadas con la conducta a seguir ante un paciente aquejado de una enfermedad cardiovascular, y en especial de una cardiopat&iacute;a isqu&eacute;mica. …”
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Structural Fatigue Life Monitoring with Piezoelectric-Based Sensors: Fundamentals, Current Advances, and Future Directions by Aliakbar Ghaderiaram, Erik Schlangen, Mohammad Fotouhi

“…These measurements, captured under in-service dynamic strain, can be correlated to the remaining structural fatigue life. …”
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Spatially controlled multicellular differentiation of stem cells using triple factor-releasing metal–organic framework-coated nanoline arrays by Yeon-Woo Cho, Min-Ji Kang, Joon-Ha Park, Yun-Sik Eom, Tae-Hyung Kim

“…The arrays comprise nanohole and nanoline arrays fabricated through interference lithography and selectively capture of UiO-67 metal–organic frameworks on nanoline arrays with a 99.8% efficiency using an optimised asymmetric spin-coating method. …”
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Analysis of the policies and constraints limiting the aquaponics industry in Portugal by Fernando Mata, Maria dos-Santos

“…With the aim to analyze the potential development of commercial aquaponics in Portugal, a group of Portuguese stakeholders and experts were interviewed to capture their understanding of the challenges faced by the emerging Portuguese aquaponics sector. …”
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Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand by Jiehui Jiang, Dezhi Zhang, Shuangyan Li, Yajie Liu

“…The users’ choice behaviors are captured by a logit-based stochastic equilibrium model. …”
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YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance by Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu

“…Additionally, extensive experiments conducted on the Br35H and Roboflow datasets demonstrate the superior performance of YOLO-TumorNet in terms of boundary clarity, detail capture, and small tumor detection.…”
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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

“…Furthermore, inadequate processing of the available spatio-temporal data has precluded the capture of predictive historical patterns. Therefore, we have developed a staging evolving spiking neural network (eSNN) model named Staging-eSNN that first employs a time series clustering algorithm to distinguish the seasonal from the diurnal variation in the PM2.5 concentration. …”
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Advancing Enhanced Weathering Modeling in Soils: Critical Comparison With Experimental Data by Matteo B. Bertagni, Salvatore Calabrese, Giuseppe Cipolla, Leonardo V. Noto, Amilcare Porporato

“…The comparison demonstrates SMEW's ability to capture the dynamics of primary variables, including soil moisture, alkalinity, and inorganic carbon. …”
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