Spatial variability of hydraulic parameters of a cropped soil using horizontal crosshole ground penetrating radar by Lena Lärm, Lutz Weihermüller, Jan Rödder, Jan van derKruk, Harry Vereecken, Anja Klotzsche

“…Finally, we derived spatially resolved SHP, which can be used for 3D process rhizosphere processes and root–soil interaction modeling.…”
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Bacterial acidic agents-assisted multi-elemental (Ni, Co, and Li) leaching of used lithium-ion batteries at high pulp densities by Ahmad Heydarian, Farzane Vakilchap, Seyedeh Neda Mousavi, Seyyed Mohammad Mousavi

“…Furthermore, a kinetic study using the Avrami equation and shrinking core model revealed that both models yield comparable results, and diffusion through the product layer controlled the leaching rate. …”
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Tight oil imbibition based on nuclear magnetic resonance signal calibration method by TANG Huiying, DI Kaixiang, ZHANG Liehui, GUO Jingjing, ZHANG Tao, TIAN Ye, ZHAO Yulong

“…This method can translate the total NMR signal output into oil volume via a regression model, offering enhanced convenience and accuracy compared to traditional approaches. …”
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Zn₂SnO₄ Thin Films for Photovoltaics: Structural Optimization and Charge Transport Analysis by Fakhriddin T. Yusupov, Tokhirbek I. Rakhmonov, Dadakhon Sh. Khidirov, Shakhnoza Sh. Akhmadjanova, Javokhirbek A. Akhmadaliyev

“…In this study, (Zn,Sn)O thin films were synthesized and characterized for potential application as buffer layers in photovoltaic devices. The films were deposited using thermal evaporation in a high-vacuum chamber, followed by a controlled oxidation process in a pure oxygen atmosphere to achieve a ZnO-based oxide layer. …”
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Deformation and Fracture Characteristics of Coal Gangue Interbedded Samples under Loading and Unloading Conditions by Jisheng Xue, Tielin Zhao

“…By observing the deformation and fracture characteristics of coal-rock interbedding specimens with different gangue ratio under different stress paths, this paper studies the fracture instability mechanism and fracture characteristics of coal-rock interbedding, analyzes the progressive failure process and fracture opening model of coal-rock interbedding, and uses GDEM software to simulate the triaxial loading and unloading failure characteristics of coal-rock samples. …”
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Factors influencing natural regeneration of Fagus hayatae by Chun Qin, Meng Tang, Xue-mei Zhang

“…Background Natural regeneration is pivotal for sustaining evolutionary processes in plant species. Identifying determinants that shape recruitment dynamics could elucidate key factors governing this critical biological process. …”
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Construction of artificial lung tissue structure with 3D-inkjet bioprinting core for pulmonary disease evaluation by Weimin Wan, Xi Wang, Rongtao Zhang, Yixuan Li, Haonan Wu, Yiman Liu, Fan Zhang, Jia Liu, Guiquan Liu, Lin Zhou, Zhenhua Wu, Hongju Mao, Jian Yang

“…By integrating 3D-inkjet bioprinting technology, differentiated human cells can be assembled into artificial lung tissue structure to achieve a rapid, efficient, and reproducible disease model construction process. Here, we developed a novel 3D-inkjet bioprinting-based method to construct artificial lung tissue structure (ALTs) for acute lung injury (ALI) disease modeling, research and application. …”
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Machine Learning-Assisted Design of Doping Strategies for High-Voltage LiCoO₂: A Data-Driven Approach by Man Fang, Yutong Yao, Chao Pang, Xiehang Chen, Yutao Wei, Fan Zhou, Xiaokun Zhang, Yong Xiang

“…Furthermore, these combined models can be employed to search for materials with superior electrochemical performance and processing conditions. …”
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MobilitApp: A Deep Learning-Based Tool for Transport Mode Detection to Support Sustainable Urban Mobility by Gerard Caravaca Ibanez, Luis J. de la Cruz Llopis, Adrian Catalin Diaconeasa, Alberto Bazan Guillen, Monica Aguilar Igartua

“…Our approach leverages a hierarchical model combining convolutional neural networks (CNNs) for feature extraction and long short-term memory (LSTM) layers for temporal processing, enhanced by skip connections. …”
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Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

“…Firstly, different possible architectures are compared, particularly between multi-output and multi-label convolutional neural networks (CNNs). Moreover, a hybrid model is employed, essentially a conjunction of a CNN with a multi-layer perceptron (MLP). …”
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Experiment and Simulation Research on Performance of Single Transistor of CCD On-chip Amplifier Induced by Proton Irradiation by YAN Shixing1, WANG Zujun1, 2, TANG Ning1, LYU Yubing3, WANG Xiaodong3, LI Chuanzhou1, JIANG Rongyu1

“…In order to simulate the real situation of MOS transistors in CCD on-chip amplifiers before and after irradiation, the process model of MOS transistors in CCD on-chip amplifiers was established by SENTAURUS TCAD software according to the actual process parameters of the devices, and the simulation model was calibrated and verified according to the actual test data before and after irradiation experiments, and relevant physical models were introduced. …”

Preparation of Novel Silica-based Zirconium Pyrophosphate Ion-exchanger and Its Adsorption Performance for Cs+ by DIAO Xinya1, 2, HAO Lecun1, 2, MA Feng3, ZHAO Xin1, 2, JIN Qiang1, 2, , CHEN Zongyuan1, 2, , GUO Zhijun1, 2, WU Wangsuo1, 2

“…The adsorption capacity of Cs+ increases significantly with the increase of initial Cs+ concentration, and the adsorption of Cs+ on the resin can be well fitted with Langmuir model. This implies that the adsorption process of Cs+ by the resin is a homogeneous single-layer adsorption process. …”

Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

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Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections by Shih-Lin Lin, Jun-Yi Wu

“…Although the increased network complexity and added layers lead to longer training times, the robust performance justifies the computational cost. …”
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Cerium occurs as cerium-phosphate clusters around bioapatite nanocrystals in deep-sea sediments by Alain Manceau, Anne-Claire Gaillot, Jianlin Liao, Yan Li, Olivier Mathon, Kirill A. Lomachenko, Pieter Glatzel, Alexandre Simionovici, Mélanie Balvay, Sophie A. L. Paul, Andrea Koschinsky, Stephan N. Steinmann

“…After fish die, biogenic apatite captures rare earth elements from seawater on the seafloor and from pore waters during the diagenesis process. The conventional model for rare earth element enrichment suggests that they are incorporated into the bioapatite crystal structure through solid-state diffusion. …”
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Field-emission Properties of Ni-C Nanocomposite Films by A.V. Arkhipov, P.G. Gabdullin, M.V. Mishin, V.S. Protopopova, S.I. Krel, D.E. Drobinin, N.M. Gnuchev

“…The observed emission behavior agrees with the previously proposed model considering low-field emission from nanostructured carbonic materials as a multi-stage process involving generation of hot electrons at interface boundaries.…”
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Neuromorphic Wireless Split Computing With Multi-Level Spikes by Dengyu Wu, Jiechen Chen, Bipin Rajendran, H. Vincent Poor, Osvaldo Simeone

“…Inspired by biological processes, neuromorphic computing leverages spiking neural networks (SNNs) to perform inference tasks, offering significant efficiency gains for workloads involving sequential data. …”
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An airport apron ground service surveillance algorithm based on improved YOLO network by Yaxi Xu, Yi Liu, Ke Shi, Xin Wang, Yi Li, Jizong Chen

“…At the same time, the original model was converted to TensorRT and OpenVINO format models, which increased the inference efficiency of the GPU and CPU by 55.3 and 137.1%, respectively.…”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…This study aims to accurately predict the relative density, surface roughness and hardness of AlSi10Mg samples produced by selective laser melting regarding process parameters such as scan speed, layer thickness, laser power, and hatch distance. …”
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A novel ultra-steep subthreshold swing iTFET with control gate and control source biasing by Jyi-Tsong Lin, Ruei-Cheng Tu

“…We performed simulation studies using Sentaurus TCAD. Utilize calibrated models for accurate simulations, exploiting the same referenced processes, demonstrate that the Control Source iTFET exhibits an average subthreshold swing S.S AVG of 9.69 mV/Dec and a minimum subthreshold swing S.S MIN of 1.72 mV/Dec, respectively. …”
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