Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes by Ahmed Halilu, Mohamed Kamel Hadj-Kali, Hanee Farzana Hizaddin, Mohd Ali Hashim, Emad M. Ali, Suresh Bhargava

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Estimating HIV incidence in Türkiye: results from two mathematical models by Emine Yaylali, Zikriye Melisa Erdogan

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Centennial spatiotemporal evolution of AGC in subtropical forests and key driving factors − based on process modeling and geography detector by Lei Huang, Zihao Huang, Xuejian Li, Fangjie Mao, Meixuan Song, Yinyin Zhao, Fengfeng Ye, Lujin Lv, Jiacong Yu, Huaqiang Du

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Predictive Processing in Autism Spectrum Disorder: The Atypical Iterative Prior Updating Account by Zhuanghua Shi, Fredrik Allenmark, Laura A. Theisinger, Rasmus L. Pistorius, Stefan Glasauer, Hermann J. Müller, Christine M. Falter-Wagner

“…Background: The nature of predictive-processing differences between individuals with autism spectrum disorder (ASD) and typically developing (TD) individuals remains contested. …”
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Implementation of a nurse-led, multidisciplinary model of care for older adults with cancer: a process evaluation protocol by Sagun Parakh, Kathryn Lee, Jeremy Rodrigues, Paul Yates, Polly Hypatia Dufton, Elena Tarasenko, Katrina Midgley, Ray Kelly, Surein Arulananda

“…Both sites will assess individuals with lung cancer; the second site will also include individuals with genitourinary, upper gastrointestinal and colorectal cancers.This process evaluation will use quantitative and qualitative methods to explore the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) of the nurse-led, multidisciplinary model of care.Ethics and dissemination Ethical approval and local governance approvals have been obtained by Austin Health and Monash Health Human Research Ethics committees. …”
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Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation by Inhee Go, Yu Fu, Xi Ma, Hong Guo

“…This study investigates the classification of pigment-manufacturing processes using deep learning to identify the optimal model for cultural property preservation science. …”
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Establishment of a Numerical Model and Process Optimization for the Moving Induction Hardening of a Whole-Roll Flatness Roll by Huaxin Yu, Shuang Liao, Zhichao Li, Ziwei Xu, Shan Li

“…The calculated hardness value of the roll surface in the simulation model reaches 950 HV, which agrees well with the experimental hardness results, validating the ability of the numerical model to guide specific processes.…”
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Net Primary Production Simulation and Influencing Factors Analysis of Forest Ecosystem Based on a Process-Based Model by Zhu Yang, Xuanrui Huang, Yunxian Qing, Hongqian Li, Libin Hong, Wei Lu

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A lightweight segmentation model toward timely processing for identification of pine wood nematode affected trees with UAV by Qiangjia Wu, Meixiang Chen, Hao Shi, Tongchuan Yi, Gang Xu, Weijia Wang, Ruirui Zhang

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Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation by Chunquan Fan, Binbin He, Jianpeng Yin, Rui Chen, Hongguo Zhang

“…Dead fuel moisture content (DFMC) is essential for assessing wildfire danger, fire behavior, and fuel consumption. Several process-based models have been proposed to estimate DFMC. …”
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High-Speed Wireline Links—Part II: Optimization and Performance Assessment by Hossein Shakiba, Davide Tonietto, Ali Sheikholeslami

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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Initially, ecological source patches are identified using the “Quality-Morphology-Connectivity” evaluation model. Different types of nature reserves are then superimposed to create four distinct source schemes. …”
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Simulation of the process of cryogenic freezing of coriander seeds by N. V. Sterekhova, Z. A. Meretukov, S. Y. Gonezhuk, R. G. Shishova

“…To reduce losses associated with splitting coriander fruits, it has been proposed to carry out mathematical modeling of the process of cryogenic freezing with subsequent grinding of the frozen mass, which will significantly reduce losses of essential oil. …”
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Enhancing architectural education through hybrid digital tools: investigating the impact on design creativity and cognitive processes by Sana’a Al-Rqaibat, Saja Al-Nusair, Rahaf Bataineh

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Context-Based Model for Browsing the Web Through Voice by Citlalli Selene Avalos Montiel, José G. Rodríguez García, Sonia Mendoza, Dominique Decouchant

“…This paper proposes a model to facilitate web browsing and contribute to reducing the digital divide among the population. …”
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Proportional-Switch Adjustment Process-Based Day-by-Day Evolution Model for Mixed Traffic Flow in an Autonomous Driving Environment by Yihao Huang, Han Zhang, Aiwu Kuang

“…Furthermore, a daily dynamic evolution model for mixed traffic flow in a connected autonomous driving environment is developed using the proportional-switch adjustment process (PAP) model. …”
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Large Language Models for Agricultural Injury Surveillance by Jacob Muller, Daniel Petti, Changying Li, Serap Gorucu, Matthew Pilz, Bryan P. Weichelt

“…Results showed that the fine-tuned Llama2 was the most proficient model with an average accuracy of 93% and some categories reaching 100%. …”
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Deep Watermarking Based on Swin Transformer for Deep Model Protection by Cheng-Hin Un, Ka-Cheng Choi

“…This study improves existing protection strategies for image processing models by embedding invisible watermarks into model outputs to verify the sources of images. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The study utilizes GPRMax software, a powerful electromagnetic wave simulation tool, to construct numerical models of orthogonal fracture systems. These models simulate the dynamic evolution of electromagnetic wavefields under three distinct propagation scenarios: horizontal left-to-right extension, vertical bottom-to-top extension, and vertical top-to-bottom extension. …”
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Rupture process of the 2019 Mw 6.8 Davao Del Sur earthquake, Philippines from geodetic and seismic data by Ivan F. Casallas, Jyr-Ching Hu, Jeffrey S. Perez

“…In this study, we used Interferometry Synthetic Aperture Radar (InSAR) and teleseismic broadband data to explore the earthquake’s source parameters, rupture process, and tectonic characteristics through a Bayesian modeling approach and Coulomb stress analysis. …”
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