Antibodies to cyclic citrullinated peptide and angiopoietin-like protein type 4 as markers of immune inflammation and osteoporotic processes in rheumatoid arthritis patients by G. Ya. Osmanova, V. A. Aleksandrov, A. V. Aleksandrov, L. N. Shilova, E. G. Cherkesova, N. V. Aleksandrova, I. A. Zborovskaya

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Ozone Flux Measurement and Modelling on Leaf/Shoot and Canopy Scale by Ludger Grünhage, Giacomo Gerosa

“…The most used are one-dimensional models in single-layer, dual-source or multi-layer version. …”
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Selective laser melting of titanium matrix composites: An in-depth analysis of materials, microstructures, defects, and mechanical properties by Jun Fang, Yong Chai Tan, Vin Cent Tai, Shamini Janasekaran, Chia Ching Kee, Dongsheng Wang, Youwen Yang

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Comparison of CuCl/NaY and CuCl/AC Process Performance Using a Vacuum Pressure Swing Adsorption Simulation by Congli Li, Xuling Guo, Lei Tang, Jiahui Yang, Qi Shi

“…A five-bed, seven-step vacuum pressure swing adsorption (VPSA) system was computationally modeled to assess carbon monoxide (CO) separation from CO/N₂ mixed gas (30/70, <i>v</i>/<i>v</i>). …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…The authors introduce DDANet, a novel haematoma segmentation model for brain CT images. Specifically, a dilated convolution pooling block is introduced in the intermediate layers of the encoder to enhance feature extraction capabilities of middle layers. …”
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MODELLING OF THE GAS DIFFUSION IN FLEXIBLE PIPELINES FOR OIL & GAS PRODUCTION by Marius STAN

“…This presentation describes a model used to study gas diffusion through layers of flexible pipes by time. …”
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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“…The model is evaluated based on the confusion matrix and the heat maps of different convolutional layers are analyzed. …”
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Modeling AlGaN p-i-n photodiodes by N. N. Vorsin, A. A. Gladyshchu, T. L. Kushner, N. P. Tarasiuk, S. V. Chugunov, M. V. Borushko

“…Using the COMSOL MULTIPHYSICS software based on AlGaN, a p-i-n photodiode model was developed, including its I–V characteristic, spectral sensitivity of the received radiation, absorption coefficient as a function of the aluminum fraction and the depletion layer thickness. …”
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INFLUENCE UNDER-CLOUDY CONVECTIONS ON DEVELOPMENT OF A CLOUDY CONVECTION by Nina Evgenevna Danilova, Yulia Alexandrovna Semyonova, Yulia Leontevna Smerek, Robert Gurgenovich Zakinyan

“…Today, operational numerical models often cannot predict the location and time of the onset of cloud convection when it is initiated in the skid layer, since these processes are not well represented in the models. …”
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Investigation of the effect of turbulence models for CFD simulations of dynamic airfoils by Sinem Keskin, Mustafa Serdar Genç

“…The study found that the SST model exhibited inviscid flow characteristics, while the SST with intermittency and Transition SST models captured the boundary layer behavior more effectively, including the separation and reattachment processes. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Additive manufacturing (AM) presents significant opportunities for advancing sustainability through optimized process control and material utilization. This research investigates the application of machine learning (ML) models to directly associate AM process parameters with sustainability metrics, which is often a challenge by experimental methods alone. …”
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A novel architecture design for internet of things by Tuğrul Çavdar, Ercüment Öztürk

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Cyber‐physical system model based on multi‐agent system by Maqbol Ahmed, Okba Kazar, Saad Harous

“…The research focuses on developing a CPS model, that encompasses nine layers: the physical agent, security agent, computation agent, decision‐making agent, control agent, communication agent, resilience agent, maintenance agent, and application agent layer. …”
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Research on the water absorption diffusion model and kinetics of pretreated straw by Lei Song, Yuanna Li, Tingzhou Lei, Yantao Yang, Yilin Shen, Mei Yang, Yunbo Wang, Hesheng Zheng

“…The three-stage internal particle diffusion equation can effectively describe the adsorption process of straw to moisture. At 70% humidity, the diffusion rate constant decreased and the boundary layer thickness increased. …”
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Modeling of dissolution phenomena in Cu-Cl Cycle for hydrogen production by Öznur Kayhan, Ibrahim Dincer

“…A mass transfer model for dissolution process presented in this paper has been developed based on Noyes Whitney equation which is dependent on concentration gradient across the boundary layer and solute's remaining surface area. …”
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Characterizations and boron diffusion modelling on the AISI H13 steel by Ortiz-Domínguez M., Keddam M., Morales-Robles Á.J.

“…Finally, this linear model has been validated for two other sets of processing parameters (1323 K for 4.5 and 8.5 h). …”
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A Modeling Study of the Topographic Effects on Shallow Convective Clouds by Mingxin Gong, Shizuo Fu, Jane Liu, Xin Deng

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Five axis Virtual Machining of Asymmetric Double Cone Expansion Wheel by ZHAO Yan-ling, QIN Sheng, YAN Zhao

“…The localized processing of the expansion wheel provides a reference.…”
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An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

“…A dataset of 1400 data items, on adsorbent type and various adsorption pressure, is used as inputs for the D-CNN model. Comparison of the proposed model is done against the three tree models, which utilizes a single training layer. …”
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