Modeling of chronic ovary inflammation by N. А. Volkova, M. S. Yuhta, Т. А. Yurchuk, L. V. Stepanuk, E. D. Ivanova, E. V. Pavlovich

“…The proliferation of connective tissue was noted under the basement membrane of the follicles, between generative elements and ovarian medulla. To the 31st day of modeling granulosa cell layers lost ordered structure, reflected in the increasing of intercellular space and accumulation of fluid between the cells. …”
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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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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Using the LTO Network Level 1 Blockchain to Automate Inter-Organizational Business Processes by Khrypko Serhii L., Shcherbakov Serhii S.

“…Alternative modeling techniques such as Petri nets and BPMN are discussed. …”
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A Novel Large-Particle Slow-Release Fertilizer Improves Nutrient Use Efficiency and Yield of Cassava by Boundary Layer Limitation by Cuicui He, Hua Wang, Guichun Li, Jie Huang, Dengfeng Wang, Xindao Qin, Wen Zhang, Dongming Wu, Yuanda Jiu, Min Zhao, Yi Xie, Qingmian Chen, Rongfei Zhou, Minggang Xu

“…., FTIR) and kinetic modeling revealed that the superior performance of LPF resulted from mineral crystal enrichment in the outer layer of fertilizer granules, facilitating intra-particle diffusion processes and imposing boundary layer limitations on nutrient release (e.g., N, P, and K). …”
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Exploring the Dynamics of an Arctic Sea Ice Melt Event Using a Coupled Atmosphere‐Ocean Single‐Column Model (AOSCM) by Kerstin Hartung, Gunilla Svensson, Jareth Holt, Anna Lewinschal, Michael Tjernström

“…The coupled Atmosphere‐Ocean Single‐Column Model (AOSCM) allows to decouple local small‐scale and large‐scale processes to investigate the model performance in an idealized setting. …”
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Early Warning of Abnormal Operating Modes via Feature Extraction from Cross-Section Frame at Discharge End for Sintering Process by Xinzhe Hao, Sheng Du, Xian Ma, Mengxin Zhao

“…Third, a Bayesian neural network is trained on both selected process variables and visual features extracted from the red fire layer to construct the early warning model. …”
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About late asymptote of transient processes in the magnetic field of the dipole sources by N.V. Reva, V.S. Portnovv, G.G. Blyalova, A.D. Mausimbaeva

“… The developed method solutions of the problem of late asymptote of transient processes in the magnetic field, the dipole sources are Innervate layered medium, underlain by an insulator. …”
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A Dynamic Precision Evaluation System for Physical Education Classroom Teaching Behaviors Based on the CogVLM2-Video Model by Chao Liu, Fan Yang, Chengyu Ge, Zhiyu Shao

“…The model layer focuses on behavior recognition and analysis, employing advanced algorithms for precise interpretation of teaching behaviors. …”
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Transport in reverse osmosis membranes: observations and comments on the pore flow model versus the solution‒diffusion model by Takeshi Matsuura, Michael D. Guiver, Woei Jye Lau, Ahmad Fauzi Ismail

“…It is interesting to note that, according to Srinivasa Sourirajan, one of the co-inventors of cellulose acetate RO membrane, their work was guided by the Preferential Sorption‒Capillary Flow model. Moreover, he wrote that this pore model was based on the presence of a pure water layer at the salt solution‒air interface, which could be predicted by the Gibbs Adsorption Isotherm. …”
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Brief communication: Mimicking periglacial landforms and processes in an ice-rich layered permafrost system with polydisperse melamine materials – a new concept by E. Léger, F. Costard, R. Lambert, A. Saintenoy, A. Séjourné, M. Leblanc

“…We stress that these types of particles, designed for flow and sedimentary processes in rivers due to their light particle density and the granulometric sizes they span, are adequate for modeling more realistic geomorphological thawing features as observed in cryosphere environments such as slump blocks.…”
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Analysis of the dynamic fragmentation process of debris flow in the Madaling landslide in Duyun, Guizhou by Jie MA, Yaoming ZHANG, Wengang YU, Chunling WANG, Guofeng ZHANG, Junyi HE

“…The presence of underlying mined-out layer and developed joints have an important impact on the fragmentation process of landslide collapse. …”
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The Transition Processes in Microelectronic Ag-Ge-In/n-GaAs Compositions by V.S. Dmitriev, L.B. Dmitrieva

“…This is due to the variety of factors that affect the nature of the processes which occur at contact zone within the semiconductor layer and metallization. …”
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Selective Laser Sintering of Polymers: Process Parameters, Machine Learning Approaches, and Future Directions by Hossam M. Yehia, Atef Hamada, Tamer A. Sebaey, Walaa Abd-Elaziem

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Modelling of 3D concrete printing based on SPH method with the Herschel–Bulkley-Papanastasiou rheology model by Yang Wang, Liu-chao Qiu, Song-gui Chen, Yi Liu, Shuo Li

“…Furthermore, by utilising process parameters furnished by simulation cases, it is possible to determine the critical conditions under which filaments printed by different nozzle shapes are vulnerable to tearing, and the corresponding critical intervals when tearing occurs are also defined. 3DPC experiments verify these findings and confirm that SPH simulation provides additional information on the geometric characteristics of single-layer structures, as well as physical quantities that cannot be straightforwardly measured.…”
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GDPR and Large Language Models: Technical and Legal Obstacles by Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou

“…Large Language Models (LLMs) have revolutionized natural language processing but present significant technical and legal challenges when confronted with the General Data Protection Regulation (GDPR). …”
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How Well Does the DOE Global Storm Resolving Model Simulate Clouds and Precipitation Over the Amazon? by Jingjing Tian, Yunyan Zhang, Stephen A. Klein, Christopher R. Terai, Peter M. Caldwell, Hassan Beydoun, Peter Bogenschutz, Hsi‐Yen Ma, Aaron S. Donahue

“…This study highlights the potential use of high‐resolution ground‐based observations to diagnose convective processes in global storm resolving model simulations, identify key model deficiencies, and guide future process‐oriented model sensitivity tests and detailed analyses.…”
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Optimization of processing parameters for enhanced tensile performance of 3D-printed TCNP reinforced PLA composites by Muthuselvan Balasubramanian, R. Saravanan, Sathish. T

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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

“…Considering the thickness and uniformity of the adhesive layer as the objectives, the improved algorithm was used to optimize the prediction model to obtain the optimal process parameters. …”
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Physical and biogeochemical processes in controlling the seasonal variation of dissolved oxygen in the Bohai and Yellow Seas by Wenshuo Zhang, Haiyan Zhang, Guisheng Song, Liang Zhao, Hao Wei

“…Deoxygenation in coastal seas has significant implications to the marine ecosystems. In this study, the processes influencing the seasonal variation of dissolved oxygen (DO) in the Bohai and Yellow Seas (BS and YS) are investigated using a coupled physical-biogeochemical model. …”
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