Transmission Line Model Measurements of Metal-Semiconductor Contacts by M.M. Musztyfaga-Staszuk, P. Panek, A. Czupryński, C. Mele

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Model reduction of structural mechanical response in the time domain by Xin Yan, Xinyu Guo, Ningya He, Jinglong Shi, Daquan Zhao

“…Conversely, adding hidden layers may not enhance accuracy, potentially reducing model generalization and increasing training costs.…”
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A matter of scale: Identifying the best spatial and temporal scale of environmental variables to model the distribution of a small cetacean by Tiffany Goh, Mark Jessopp, Emer Rogan, Enrico Pirotta

“…Overall, the best spatial scale corresponded to the coarsest resolution considered in this study (40 km), while porpoise presence showed stronger association with oceanographic variables summarised at a longer temporal scale. Habitat models including covariates at coarse spatial and temporal scales may better reflect the processes driving availability and abundance of resources at these large scales. …”
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Modeling of Blood Flow Dynamics in Rat Somatosensory Cortex by Stéphanie Battini, Nicola Cantarutti, Christos Kotsalos, Yann Roussel, Alessandro Cattabiani, Alexis Arnaudon, Cyrille Favreau, Stefano Antonel, Henry Markram, Daniel Keller

“…We developed a framework with three key components: coupling between the vasculature and synthesized astrocytic morphologies, a fluid dynamics model to compute flow in each vascular segment, and a stochastic process replicating the effect of astrocytic endfeet on vessel radii. …”
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3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…Existing deep learning models typically adopt encoder-decoder architectures integrating convolutional layers with global dependency modeling to capture broader contextual information around tumors. …”
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Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning by André Ramalho, Anis Assad, Benjamin Bevans, Fernando Deschamps, Telmo G. Santos, J.P. Oliveira, Prahalada Rao

“…These signatures were used in a machine learning model trained to autonomously detect process instabilities. …”
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Study of Electromagnetic and Thermal Transients in a High-temperature Superconducting Transformer during a Short Circuit by Manusov V.Z., Ivanov D.M.

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Blind HDR image quality assessment based on aggregating perception and inference features by Donghui Wan, Xiuhua Jiang, Qiangguo Yu

“…To address this, we propose a novel blind IQA method tailored specifically for HDR images, which incorporates both the perception and inference processes of the human visual system (HVS). Our approach begins with multi-scale Retinex decomposition to generate reflectance maps with varying sensitivity, followed by the calculation of gradient similarities from these maps to model the perception process. …”
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Efficient Transformer-Based Road Scene Segmentation Approach with Attention-Guided Decoding for Memory-Constrained Systems by Bartas Lisauskas, Rytis Maskeliunas

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Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device by Mithun Kanchan, Prasad Kisan Tambe, Sanjay Bharati, Omkar S Powar

“…The developed CNN model can be successfully used as a pre-trained model for future glucose concentration predictions.…”
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Experimental Study on Heat Transfer Process Optimization of Heat Storage Wall of the Heat Pump in Tunnel Surrounding Rock in the Cold Region by Yafei Li, Dianwei Qi, Hongchao Yan, Jiaqi Zhang

“…Inspired by this system and the active and passive coupling building technology, a heat recovery type of heat storage wall model is proposed in this research. By describing the heat transfer process regarding the heat recovery type of heat storage wall and carrying out the experimental research, its feasibility and effectiveness are verified. …”
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Turbulent Heat Transfer over roughness: a comprehensive review of theories and turbulent flow structure by Mohammadreza Kadivar, Himani Garg

“…By comparing with smooth-wall flows, the paper highlights how surface roughness affects turbulence structures and the thermal boundary layer. Existing models and scaling laws for heat transfer are critically evaluated, with attention to their applicability across different roughness types and flow conditions. …”
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Substantiation of the Operating Parameters of Walnut Drying Equipment by Hryhorij Kaletnik, Oleg Tsurkan, Anatoly Spirin, Nataliya Gudzenko, Dmytro Prysiazhniuk, Andrii Didyk

“…According to the authors’ developments, the most effective are convective dryers, which can intensify the process by vibrating the material layer, which increases the heat transfer ratio. …”
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The Space Conceptual Models and Water Vapor Characteristics of Typical Rainstorms during Plum Rain Season by Ying Tian, Rong Yao, Enrong Zhao, Qian Yao, Xiaolong Pan

“…Combined with water vapor transportation and convergence, the refined spatial conceptual models of the four types of rainstorms can better judge the process intensity and falling area and provide reference for disastrous weather forecast and early warning.…”
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Decontamination of crystal violet using nanocomposite adsorbent based on pine cone biochar modified with CoFe2O4/Mn-Fe LDH by Seyed Jamaleddin Peighambardoust, Shima Abdollahian Aghbolagh, Rauf Foroutan, Naeimeh Sadat Peighambardoust

“…Isotherm studies revealed that the Langmuir model provided the best fit for the experimental data, suggesting a monolayer adsorption process on homogeneous surfaces. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…The system employs a multi-layer architecture implemented through multiple LLMs, enabling not only rapid and effective processing of multi-source sensor data but also enhanced environmental perception through physical interactions. …”
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Benchmarking the high conductive two-dimensional layered structured NbS2, ZrS2, ReS2 and NbSe2 materials with zero energy bandgap (E g) for photocatalytic application: a DFT study by Muhammad Hasnain Jameel, Aqeela Yasin, Alaa Nihad Tuama, Abdullah Hasan Jabbar, Samreen Kousar, Mohd Zul Hilmi Mayzan, Muhammad Sufi Roslan, Arman Nawaz, Khaled Althubeiti, Mohammed Aljohani

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A Formal Model for the Business Innovation Case Description by Masaaki Kunigami, Takamasa Kikuchi, Takao Terano

“…In case method learning, class discussions are based on cases that summarize actual business processes. This paper presents a model to re-description formally business innovation cases written in natural language. …”
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Deep Learning-Based Music Quality Analysis Model by Jing Jing

“…The shallow learning features and deep learning features are seamlessly combined into the SVM model for music quality modeling, based on which differential voting mechanisms are leveraged to realize the fusion of decision-making layers. …”
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Development of a Multi‐Scale Meteorological Large‐Eddy Simulation Model for Urban Thermal Environmental Studies: The “City‐LES” Model Version 2.0 by Hiroyuki Kusaka, Ryosaku Ikeda, Takuto Sato, Satoru Iizuka, Taisuke Boku

“…Noteworthy features of this model include: (a) the calculation of long‐ and short‐wave radiations in three dimensions, incorporating multiple reflections within urban canopy layers using the radiosity method, and accounting for building and tree shadows in the simulations; (b) the provision of various heat stress indices (Universal Thermal Climate Index, Wet Bulb Globe Temperature, MRT, THI); (c) the assessment of the efficacy of heat stress mitigation measures such as dry‐mist spraying, roadside trees, cool pavements, and green/cool roofs strategies; (d) the capability to run on supercomputers, with the code parallelized in a three‐dimensional manner, and the model can also run on a graphics processing unit cluster. …”
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