Joint Exploitation of Physical-Layer and Artificial Features for Privacy-Preserving Distributed Source Camera Identification by Hui Tian, Haibao Chen, Yuyan Zhao, Jiawei Zhang

“…In this paper, we propose a novel privacy-preserving distributed source camera identification scheme that jointly exploits both physical-layer fingerprint features and a carefully designed artificial tag. …”
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Transport models for predicting spontaneous ignition of pressurized hydrogen released into a tube by Gang Luo, Wenping Zhang, Zixuan Yang, Lijing Zhang, Jinfeng Zhang

“…However, fundamental processes governing spontaneous ignition at the microscopic scale, such as transport models and ignition initiation, are not fully explained. …”
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Controllable Fabrication of Gallium Ion Beam on Quartz Nanogrooves by Peizhen Mo, Jinyan Cheng, Qiuchen Xu, Hongru Liu, Chengyong Wang, Suyang Li, Zhishan Yuan

“…This study proposes a method based on focused ion beam technology and a layer-by-layer etching process, successfully preparing V-shaped and rectangular nanogrooves on a silicon dioxide substrate. …”
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Adjoint‐Based Online Learning of Two‐Layer Quasi‐Geostrophic Baroclinic Turbulence by F. E. Yan, H. Frezat, J. Le Sommer, J. Mak, K. Otness

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Research on process parameters of directional hydraulic punching considering creep effect in composite coal seam by Yi LIU, Dingqi LI, Yubo CHEN

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Mathematical Model for Quantitative Estimation of Thermophysical Properties of Flat Samples of Potatoes by Active Thermography at Varying Boundary Layer Conditions by Pavel Balabanov, Andrey Egorov, Alexander Divin, Alexander N. Pchelintsev

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Modeling and Simulation of Coupled Network Public Opinion Propagation Across Social Media Platforms by Deming ZHENG, Sijia LI, Jianlong ZHENG, Zhaoxin WANG

“…Understanding the topological structure of information dissemination networks across platforms and the mechanisms of public opinion dissemination on them is of great significant guiding importance for predicting trends in online public opinion and formulating guiding strategies. [Methods/Processes] Based on the SEIR model of infectious diseases, a model of the spread of public opinion on cross-social platform coupled networks was constructed. …”
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Physical Parameterization Sensitivity of Noah-MP for Hydrothermal Simulation Within the Active Layer on the Qinghai–Tibet Plateau by Yongliang Jiao, Ren Li, Tonghua Wu, Xiaodong Wu, Shenning Wang, Jimin Yao, Guojie Hu, Xiaofan Zhu, Jianzong Shi, Yao Xiao, Erji Du, Yongping Qiao

“…The accurate modeling of complex freeze–thaw processes and hydrothermal dynamics within the active layer is challenging. …”
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Circulation Characteristics and Conceptual Model of Rainstorm Processes in the Eastern Foot of the Helan Mountain by Yuying CHEN, Yang SU, Yixing ZHANG, Shanshan YAO, Yin YANG

“…In this study， the rainstorm processes are classified into ordinary rainstorm （50~100 mm）， heavy rainstorm （100~200 mm） and extraordinary rainstorm （more than 200 mm） according to the accumulated rainfall of the rainstorm process.Then， based on 23 rainstorm processes in the eastern foot of the Helan Mountain from 2016 to 2021， the circulation characteristics of different grades of rainstorms are investigated and the corresponding conceptual models are established.The results show that during the rainstorm processes， the westerlies prevail in middle-high latitudes.The rainstorm area is controlled by four airflows， i.e.the 200 hPa westerly airflow， the 500 hPa southwesterly airflow， the 700 hPa southerly airflow and the 850 hPa southeasterly airflow.There is high-level jet and low-level jet in the high and low levels， respectively.The different grades of rainstorms are mainly caused by the different locations and intensities of the South Asia high （SAH） and the Western Pacific Subtropical High （WPSH）.The difference in SAH and WPSH can result in the differences in low-level temperature and humidity， and the stability of atmosphere.The baroclinity is the strongest in the middle levels （700~500 hPa）， and is relatively weak in the low levels （875~700 hPa）.The baroclinity is the strongest for ordinary rainstorm and the weakest for extraordinary rainstorm.For ordinary rainstorm processes， the fronts in the westerlies are the most active， the WPSH is the weakest and southmost， the wet layer is the thickest， the warm cloud layer is the thinnest， and the low-level thermal forcing and atmospheric instability is the weakest.For heavy rainstorm processes， the dynamic forcing is weaker， the WPSH and low-jet is more northward， the low-level thermal forcing and atmospheric instability is relatively strong， the values of convective parameters are relatively large， and the duration， area and magnitude of rainstorm are relatively large.For extraordinary rainstorm processes， the SAH， WPSH and low-level jet are the strongest and northmost， the atmospheric instability is the strongest， the wet layer is the thinnest， and the warm cloud layer is the thickest.The values of convective parameters and vertical wind shear in extraordinary rainstorm processes are 1~3 times that of ordinary and heavy rainstorm processes.The joint effects of the northward advancing low-level jet and the topography of the Helan Mountain favor the occurrence of local rainstorms in the eastern foot of the Helan Mountain.…”
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Heartbeat information prediction based on transformer model using millimetre‐wave radar by Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu

“…This study proposes a heartbeat prediction method based on the transformer model using millimetre‐wave radar. Firstly, the millimetre‐wave radar was used to collect the heartbeat data and conduct normalisation processing. …”
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Development of mathematical model of oscillatory processes at turning of materials with reverse hardness distribution by V. E. Ovsyannikov, E. M. Kuznetsova, R. Yu. Nekrasov, S. Yu. Titskaja

“…Cutting forces were determined taking into account the shape and nature of chip formation, the value of technological modes and processing conditions. As the material to be machined, the authors considered the cast iron with a layer hardened by diffusion alloying. …”
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Quality Enhancement of Dar Crude Oil Pre-processing Using Model Predictive Control by Mohamed A. Rahim, Omnia Hassan, Mohammed A.S. Ahmed

“…Thus, to implement a control system that guarantees high control efficiency with less energy and heat consumption, the first and second-stage separators in Central Processing Facilities (CPFs) operated with conventional PID controllers are replaced with a higher layer of Model Predictive Controller (MPC). …”
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A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers. by Sofia Farina, Alessandro Cattabiani, Darshan Mandge, Polina Shichkova, James B Isbister, Jean Jacquemier, James G King, Henry Markram, Daniel Keller

“…Finally, in metabolic ageing, our model indicates that the middle cortical layers are particularly vulnerable to energy impairment.…”
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Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice by G. Colas, V. Masson, F. Bouttier, L. Bouilloud, L. Pavan, V. Karsisto

“…Additionally, we have enhanced the TEB representation of snow on road, moving from a single-layer snow model (1-L), to a more precise multi-layer snow model known as Explicit Snow (ES). …”
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Shear Wave Velocity Analysis Based on Two Rock Layers Modeling Using Microtremor Data of Gresik and Surrounding Areas by Putri Aliffi Rahmahdina, Eko Bayu Purwasatriya, Marjiyono Marjiyono, Indra Permanajati, Afikah Binti Rahim

“…Therefore, this study was conducted to estimate the type of layer on the surface and its underlying layer based on the analysis of Vs (shear wave velocity) values in the surface lithological media and the underlying layer through the modeling of two rock layers. …”
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Solid-Gas Coupling Model for Coal-Rock Mass Deformation and Pressure Relief Gas Flow in Protection Layer Mining by Zhuohui Zhu, Tao Feng, Zhigang Yuan, Donghai Xie, Wei Chen

“…The solid-gas coupling model for mining coal-rock mass deformation and pressure relief gas flow in protection layer mining is the key to determine deformation of coal-rock mass and migration law of pressure relief gas of protection layer mining in outburst coal seams. …”
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MoT-PSA: a two-layer depth-averaged model for simulation of powder snow avalanches on 3-D terrain by Hervé Vicari, Dieter Issler

“…For snow-avalanche hazard mapping, one needs efficient tools that nevertheless capture the essential physical processes. The code MoT-PSA (Method of Transport – Powder Snow Avalanche) described here is based on the two-layer depth-averaged formulation for mixed snow avalanches developed by Eglit and co-workers in the 1980s but is extended to 3-D terrain and uses a fast numerical scheme based on the method of transport. …”
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The Prediction Model of Super Large Subsidence in High Water Table Coal Mining Areas Covered with Thick Unconsolidated Layer by Yueguan Yan, Weitao Yan, Jibo Liu, Junting Guo

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Production Dynamic of Coal-bed Methane After Well Pressure Based on Multi-layer Perceptron Model Inversion Study by LI Jingsong, WANG Tao, WANG Jinwei, WEI Zhipeng, XIAO Cong, TANG Jizhou

“…The multi-layer perceptron model is constructed with the training data generated by the nested discrete fracture coal-bed methane numerical simulator, and the collaborative inversion of reservoir-fracture parameters is realized by combining the intelligent algorithm. …”
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Flow Dynamic Analysis of Core Shooting Process through Experiment and Multiphase Modeling by Changjiang Ni, Gaochun Lu, Tao Jing, Junjiao Wu

“…Two-fluid model (TFM) simulations with turbulence model were then performed and good agreement was achieved between the experimental and simulation results on the flow behavior of sand particles in both the shooting head and the core box. …”
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