In situ vertical observations of the layered structure of air pollution in a continental high-latitude urban boundary layer during winter by R. Pohorsky, A. Baccarini, A. Baccarini, N. Brett, B. Barret, S. Bekki, G. Pappaccogli, E. Dieudonné, B. Temime-Roussel, B. D'Anna, M. Cesler-Maloney, A. Donateo, S. Decesari, K. S. Law, W. R. Simpson, J. Fochesatto, S. R. Arnold, J. Schmale

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Study on the effect of load on the structural response of projectile during penetration process by Jun Liang, Xuanhua Fan, Tao Li, Shifu Xiao, Feng Ma

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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…Abstract Deep learning is transformed by a hybrid model combining text and image processing in a transforming approach to categorization chores. …”
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A Learning Probabilistic Boolean Network Model of a Manufacturing Process with Applications in System Asset Maintenance by Pedro Juan Rivera Torres, Chen Chen, Sara Rodríguez González, Orestes Llanes Santiago

“…This concept was tested using a PBN model of an ultrasound welding process and its machines. …”
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Modeling of thermophysical processes with moderate cryogenic effect on the periodontal zone using a thermoelectric cooling system by O. V. Evdulov, S. G. Magomedova, E. A. Dzhabrailova

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Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Laboratory Experiments With Implications for Morphodynamics and Depth‐Averaged Modeling by Jason T.‐Y. Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce Rhoads, Jim Best, Jessica Z. LeRoy, Gary Parker

“…This paper investigates three‐dimensional mean flow structure, turbulent flow structure, and bed shear stress distribution from high‐resolution flow velocity data in a fixed‐bed, sediment‐free physical model. The results show that (a) the chute channel conveys around 1.4 times the unit‐width flow discharge as the cutoff bend; (b) mean flow structure is highly three‐dimensional, with strong convective acceleration throughout the bends and pronounced flow separation zones in both the chute channel and the cutoff bend; (c) turbulent kinetic energy is intense at shear layers bounding the flow separation zones at several locations in the channel; and (d) bed shear stress is elevated due to strong turbulence in the chute channel and is low in the cutoff bend. …”
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CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting by Zhenkai Qin, Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Xiaochuan Yu, Jingxuan Jiang

“…The CMDMamba model employs a dual-layer Mamba structure that effectively captures price fluctuations at both the micro- and macrolevels in financial markets and integrates an innovative Dual Convolutional Feedforward Network (DconvFFN) module. …”
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Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution by Turki Al Hagbani, Jawaher Abdullah Alamoudi, Majed A. Bajaber, Huda Ibrahim Alsayed, Halah Jawad Al-fanhrawi

“…Abstract This study investigates the application of various neural network-based models for predicting temperature distribution in freeze drying process of biopharmaceuticals. …”
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Release Control of Biologically Active Substances from Simulation Model of Silicone Liners by S. V. Gribanova, I. L. Udyanskaya, V. G. Yankova, T. K. Slonskaya, N. B. Epshtein, A. A. Zhukova, O. N. Plakhotnaya, V. N. Kuzina

“…Silicone disks (SDs), impregnated with BAS (0,2 % of the volume) were used as a simulation model of silicone liners. The BAS release from silicone liner models was assessed using highly sensitive chromatographic methods of thin-layer and gas-liquid chromatography.Results and discussion. …”
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One developed finite element model used in nano-layered flaky Ti2AlC MAX ceramic particles reinforced magnesium composite by Wantong Chen, Jingyu Yang, Wenbo Yu, Yishi Su, Ang Zhang, Chaosheng Ma, Yihu Ma

“…To improve the accuracy, matrix ductile damage, particle internal delamination deformation behaviors, and particle-matrix interfacial behaviors were respectively introduced into this model. The visual deformation processes of crack generation and propagation were carefully presented and discussed. …”
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Evaluation of Combined Effect of Zero Flux and Convective Boundary Conditions on Magnetohydrodynamic Boundary-Layer Flow of Nanofluid over Moving Surface Using Buongiorno’s Model by Purnima Rai, Upendra Mishra

“…This study explores the synergistic impact of zero flux and convective boundary conditions on the magnetohydrodynamic (MHD) boundary-layer slip flow of nanofluid over a moving surface, utilizing Buongiorno’s model. …”
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Anomaly Field Extraction Based on Layered-Earth Model and Equivalent Eddy Current Inversion: A Case Study of Borehole zk506 in Baishiquan, Xinjiang by Yi Yang, Jie Zhang, Qingquan Zhi, Yang Ou, Xingchun Wang, Lei Wang, Junjie Wu, Xiaohong Deng

“…It demonstrates the effectiveness and significance of the pure anomaly extraction based on the layered-earth model and equivalent eddy current inversion in the exploration of high-conductivity sulfide ores.…”
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Ultrastructural sublaminar-specific diversity of excitatory synaptic boutons in layer 1 of the adult human temporal lobe neocortex by Astrid Rollenhagen, Akram Sadeghi, Bernd Walkenfort, Claus C Hilgetag, Kurt Sätzler, Joachim HR Lübke

“…Astrocytic coverage of excitatory SBs suggests both synaptic crosstalk or removal of spilled glutamate by astrocytic processes at synaptic complexes. The structural composition of SBs in L1 may underlie the function of L1 networks that mediate, integrate, and synchronize contextual and cross-modal information, enabling flexible and state-dependent processing of feedforward sensory inputs from other layers of the cortical column.…”
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Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature by Yalbi Itzel Balderas-Martínez, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Iván García-Pacheco, Ignacio Arroyo-Fernández

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Study on Optimization of Rice-Drying Process Parameters and Directional Regulation of Nutrient Quality by Jinquan Li, Kezhen Chang, Jun Yin, Yi Jin, Xiaokang Yi, Zhongjie Zhang, Yichuan He, Qiaonan Yang, Zhihui Tang, Xiaoyu Liu, Wenfu Wu

“…The relationship between each factor and nutrient quality was revealed through response surface analysis, and the regression model and process optimization parameters were established. …”
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Construction and validation of tertiary models for predicting growth of Salmonella Infantis in chicken liver during a processing chain deviation by Thomas P. Oscar

“…Therefore, a three-phase linear, polynomial regression, tertiary model (TMPR) and a multiple layer feedforward neural network with two nodes in the hidden layer, tertiary model (TMNN) for growth of Salmonella Infantis in chicken liver as a function of dose (101–106), time (0–8 h), and temperature (18–30°C) were constructed, validated, and compared using the criteria of the Acceptable Prediction Zones (APZ) method. …”
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Modeling of Optical Processes in Thin-Film IR Light-Emitting Diode Based on Colloidal PbS Quantum Dots by U. Y. Turavets

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A Theoretical Model for the Hydraulic Permeability of Clayey Sediments Considering the Impact of Pore Fluid Chemistry by Lixue Cao, Hang Zhao, Baokai Yang, Jian Zhang, Hongzhi Song, Xiaomin Fu, Lele Liu

“…The chemistry of the pore fluid within clayey sediments frequently changes in various processes. However, the impacts of pore fluid chemistry have not been well included in the hydraulic permeability model, and the physical bases behind the salinity sensitivity of the hydraulic permeability remains elusive. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“…The current study is an in-depth comparative study of two different deep-learning models the Novel Hybrid Channel Attention Regression U-Net (ARU-Net) and Progressive Layered U-Net (PLU-Net) that build on the U-Net architecture as an enhancement to increase the segmentation accuracy of the BraTS 2021 dataset with respect to the T1, T1ce, T2, and FLAIR modalities. …”
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