High-Resolution Numerical Simulation and Impact Analysis of a Severe Convective Weather Process on the Kunming-Vientiane Route by Mei CHEN, Xiaohang WEN, Aijuan BAI, Minhong SONG

“…During March 23 and March 26， 2020， an area along the international route from Kunming， Yunnan to Vientiane， Laos experienced severe weather conditions including hail， thunderstorm winds， and heavy precipitation.A severe convective weather process was simulated using the mesoscale numerical model WRFV4.2 （Weather Research and Forecasting Model） and FNL （Final Operational Global Analysis） data from the National Centers for Environmental Prediction （NCEP）.Hourly weather station data from the China Meteorological Administration was used to check the reliability of the simulation.Furthermore， a diagnostic analysis of various physical quantities output from the WRF model was performed to provide an aviation safety reference for the Kunming-Laos Vientiane route in Yunnan.The results show that： （1） the WRF model can better simulate temperature and precipitable water， but the simulated values of the near-surface wind field are large during the daytime.（2） The simulated output physical quantity field of the simulation can indicate the time and location of severe convective weather， which has certain spatial and temporal forecasting and warning functions and can be used to judge the impact of severe convective weather on flight and the degree of impact according to it.（3） The severe convection was mainly caused by the eastward movement of the Southern Branch Trough， with dry and cold air in the upper levels superimposed on the warm and moist air forming an unstable structure， triggered by the surface convergence lines.Convective available potential energy （CAPE） in the route area is large， and the water vapor conditions are abundant-the rising motion and sinking motion alternate below 9 km altitude， which can cause turbulence during flights.Additionally， the 0 ℃ layer is located at an altitude of about 3 km， which can cause ice to form on the airframe or encounter hail weather， causing a certain impact on flight safety.…”
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Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

“…This study aims to integrate infiltration processes into downscaling models to predict 1-km multi-layer soil moisture, while comparing performance of nonlinear and linear models, and evaluating RK improvements. …”
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MECHANISM OF RESTORATION OF THE DISPERSE FERRIFEROUS WASTE IN A DYNAMIC LAYER by S. L. Rovin

“…Some results of researches of processes of heating and restoration of the disperse materials containing iron in laboratory and semi-industrial conditions and the mechanism (physical model) developed on the basis of the obtained data for the description of processes of solid-phase restoration of disperse ferriferous waste in a dynamic layer which can be considered as part of the solution of a task of development of technology of a low-tonnage recycling are presented in the article.Keywords. …”
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Theoretical modeling of 2,4-dichlorophenoxyacetic acid on acid-treated peanut skin: microscopic analysis via statistical physics treatment by Salah Knani, Ismahene Ben Khemis, Ana Carolina Ferreira Piazzi Fuhr, Nizar Lefi, Safwat A. Mahmoud, Guilherme Luiz Dotto, Abdulaziz Alenazi, Ridha Selmi

“…The adsorption mechanism was interpreted based on statistical physics theory using the homogeneous double-layer model with one energy (HDLM1E). The modeling results indicated that the removal of 2,4-DA molecules occurred through a multi-interactive adsorption mechanism at temperatures of 25, 35, and 45 °C (0.76 < n < 0.99). …”
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Investigating the Fuel Cell Performance Tradeoffs of Thick Catalyst Layers by Rifael Z. Snitkoff‐Sol, Yan Presman, Lior Elbaz

“…In this work, Fourier‐transformed alternating current voltammetry (FTacV) and electrochemical impedance spectroscopy (EIS) measurements are employed to systematically deconvolute the gains and losses to the activity due to the high loading of PGM‐free catalysts and relate the underlying processes to the observed fuel cell performance. EIS is analyzed via extraction of the distribution of relaxation times, obtaining a model‐free analysis of the physical processes in the cell. …”
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Lightweight Two-Layer Control Architecture for Human-Following Robot by Gustavo A. Acosta-Amaya, Deimer A. Miranda-Montoya, Jovani A. Jimenez-Builes

“…The low-level control layer was developed using pole placement and internal model control (IMC) methods. (3) Results: Experimental validation demonstrated that the proposed architecture enables the robot to follow a person in real time, maintaining the predefined following distance of 1.3 m in each of the five conducted trials. …”
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Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…The corresponding cattle IDs of these features are then processed using One-Hot encoding to serve as the final input for the decision layer, and various ensemble strategies are used to optimize the model. …”
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Investigation of Titanium Alloy Cutting Dynamics in Thin-Layer Machining by Anna Zawada-Tomkiewicz, Emilia Zeuschner, Dariusz Tomkiewicz

“…This study investigated the machining of two titanium alloy grades—Ti Grade 5 (Ti-6Al-4V) and Ti Grade 2—with the main focus on process stability. A material separation model was analyzed to demonstrate the mechanism of material flow within the cross-section of the machined layer. …”
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Mechanistic Modelling of Coupled UV Energy Penetration and Resin Flow Dynamics in Digital Light Processing (DLP)-Based Microfluidic Chip Printing by Xinhui Wang, Antony Seng Kai Kho, Jinghang Liu, Tianyu Mao, Michael D. Gilchrist, Nan Zhang

“…COMSOL Multiphysics 6.1 simulations incorporating UV light propagation, photopolymerization kinetics, and resin flow dynamics revealed that microchannel over-curing is a result of both energy infiltration through previously cured layers and periodic resin flow induced by the peeling process. …”
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COLD-12: A multi-level feature extraction hybrid CNN Model for accurate cotton disease diagnosis by Md. Asraful Sharker Nirob, Prayma Bishshash, A K M Fazlul Kobir Siam

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Predicting the Evolution of Shallow Cumulus Clouds With a Lotka‐Volterra Like Model by Jingyi Chen, Samson Hagos, Jerome Fast, Zhe Feng

“…Abstract In numerical weather prediction and climate models, boundary‐layer clouds are controlled by a wide range of subgrid‐scale processes. …”
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Application of multi-layer chitosan-based wound dressings in dentistry by Alexandr S. Gumenyuk, Denis I. Ushmarov, Sergey E. Gumenyuk, Tatyana V. Gaivoronskaya, Alexandr S. Sotnichenko, Karina I. Melkonyan, Yulia A. Belich, Timofey E. Grigoriev

“…The proposed chitosan-based wound dressings showed sufficient efficiency on the modelled wound process in the alveolar socket of an extracted tooth. …”
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Opportunistic spectrum access algorithm based on cross-layer optimization by ZHANG Jing, ZHU Hong-bo

“…Aiming at the opportunistic spectrum access（OSA） system with periodic channel sensing,sensing activity of secondary users was modeled and analyzed with Markov process.Combining physical layer index with MAC layer index,a cross-layer performance measure termed effective transmission capacity（ETC） was introduced.Under the criterion of maximizing ETC,a cross-layer optimal OSA algorithm was proposed and the achievable average ETC of opportunistic spectrum sharing was deduced.Theoretical analysis and simulation results indicate that the proposed algorithm is better than single-layer optimal schemes for it provides the secondary users with higher ETC.…”
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Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…To ensure the safe and efficient extraction of coal mines and reduce sudden roof accidents, this study proposes a novel multivariate long-term sequence mine pressure prediction model—the Empirical Mode Decomposition Linear Model (EMD–Mixer). …”
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Enhancing dental model accuracy through optimized vat photopolymerization additive manufacturing parameters by Clément Tien, Camille Jean, Lucas Poupaud, Floriane Laverne, Frédéric Segonds

“…This study investigates the key additive manufacturing (AM) process parameters that influence the dimensional accuracy of dental models produced using the vat photopolymerization Digital Light Processing (DLP) technology. …”
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Avrupalılaşma Sürecinde AB Çevre Politikası ve Yerindenlik İlkesi by Sencer Çörtoğlu

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Investigation into the role of layered nanoporous modified clays for adsorption/desorption of rosemary essential oil in the gas phase and the ability of this system as an antioxida... by Doha Berraaouan, Mohamed Tirinsi, Ramzi A. Mothana, Hanan M. Al-Yousef, Marie-Laure Fauconnier, Samira Salhi, Abdesselam Tahani

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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. …”
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Modeling and Efficiency Analysis of an Immersed Heat Exchanger for Solar-Powered Industrial Heat Processes: A Case Study on Wool Washing by Messaoud Hazmoune, Mohammed Debbache, Mohammed Gmal Osman, Benaoumeur Aour, Cornel Panait, Mohammed Laissaoui, Gheorghe Lazaroiu

“…Numerical simulations were performed using ANSYS CFX v19.2 software with the k-ε turbulence model to evaluate the thermal performance and temperature distribution. …”
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TrBot: A Turkish Deep Learning Chatbot Utilizing Seq2Seq Model by Bilal Babayigit, Habibelahi Rahmani, Mohammed Abubaker

“…This study presents TrBot, a general-purpose Turkish chatbot that utilizes deep learning techniques, specifically a seq2seq model with Long Short-Term Memory (LSTM) layers. …”
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