Volumetric osteoconchoplasty method by B. M. Zargaryan, S. D. Litvinov

“…The question of how to predict in the long-term postoperative period the normal size of the modeled IT, apparently, is currently not answered even by highly qualified rhinosurgeons. …”
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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

“…Here, the Random Forest algorithm demonstrates superior performance, achieving 84% accuracy, an AUC of 0.96, and an MCC of 0.71. These two models consistently outperform other ML techniques, such as K-Nearest Neighbors, Multi-Layer Perceptron, linear SVM, Naive Bayes, Quadratic Discriminant Analysis, Linear Discriminant Analysis, AdaBoost, and Gaussian Process Classifiers. …”
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The intensity of the geomagnetic field from 2.4 Ga old Indian dykes by Jean‐Pierre Valet, Jean Besse, Anil Kumar, Sayoob Vadakke‐Chanat, Edouard Philippe

“…Although this suite of episodes is not fully incompatible with previous models for the long‐term evolution of the geodynamo, it is tempting to make the link with the recent suggestion of an early dynamo sustained within a conductive magma layer at the base of the mantle from 3.5 to 2.5 Ga which progressively declined until convection became sufficiently efficient to reactivate a strong dynamo process within the Earth's liquid core.…”
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Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment by Vikas K. Soman, V. Natarajan

“…The Block Scrambling Based Encryption algorithm is then used to encode the secret image, providing an additional layer of security. Experimental results show that the CFOPS-BSBEA technique outperforms existing models in terms of security performance. …”
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Preparation of Magnetic Photocatalyst Fe₃O₄@SiO₂@Fe-TiO₂ and Photocatalytic Degradation Performance of Methyl Orange in Na₂SO... by Li Sun, Zilong Li, Zhigang Yuan, Ying Liu, Shunqi Mei, Fanhe Meng, Xingyu Ouyang, Yi Xiong, Ke Zhang, Zhen Chen

“…The results show that TiO₂ on the outer layer of FS-FT (0 g) and FS-FT (x g) has an anatase structure, and that Fe is doped into FS-FT (x g). …”
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A convolutional deep reinforcement learning architecture for an emerging stock market analysis by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

“…The model addresses overfitting and data scarcity issues during training by replacing conventional Q-tables with convolutional layers. …”
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Synthesis of hydroxyapatite-zeolite from blast furnace slag and its application for the removal of copper, lead and copper-lead mixture by adsorption by Toufik Chouchane, Mohamed Tayeb Abedghars, Sabiha Chouchane, Atmane Boukari

“…The kinetic models demonstrated that the sorption processes undertaken obeyed pseudo-second-order kinetics (R² ≥ 0.99). …”
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Simulation of shale oil flow patterns considering rock and fluid properties by LI Meng, WANG Wendong, SU Yuliang, ZHANG Jian, FAN Zhenning, LIANG Haining

“…The proposed model accurately simulated the physical process of oil flowing from the shale matrix to hydraulic fractures. …”
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URBAN AND RURAL AREAS: THE SEARCH FOR GREATER HARMONY by Stela TODOROVA, Aneliya PARZHANOVA

“…The comparative method with its concepts and categories is the main research method in the present work. The spatial model for the development of the national territory is multi-layered and synthesizes different layers with information, functions, processes and priority elements of different hierarchical ranks. …”
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Review on atomistic and quantum mechanical simulation approaches in chemical mechanical planarization by Seokgyu Ryu, Murali Ramu, Patrick Joohyun Kim, Junghyun Choi, Kangchun Lee, Jihoon Seo

“…Significant progress has been achieved using Fukui function analysis for additive screening, density functional theory (DFT) for surface passivation mechanisms, and molecular dynamics (MD) simulations for CMP processes. These simulation approaches have generated quantitative insights into key CMP metrics: surface roughness reduction from ∼5 nm to sub-1 nm scales, material removal rates ranging from 100 to 1000 Å/min depending on slurry chemistry, and subsurface damage layer thickness characterization. …”
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Novel ANN Method for Solving Ordinary and Time-Fractional Black–Scholes Equation by Saeed Bajalan, Nastaran Bajalan

“…The model also takes advantage of fine-tuning for speeding up the process and domain mapping to confront the infinite domain issue. …”
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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

“…This allows process engineers to concentrate inspections on a few important layers. …”
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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…These advancements have led to significant achievements in predictive modeling, data analysis, and decision-making processes. …”
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Innovative Ghost Channel Spatial Attention Network with Adaptive Activation for Efficient Rice Disease Identification by Yang Zhou, Yang Yang, Dongze Wang, Yuting Zhai, Haoxu Li, Yanlei Xu

“…Based on ShuffleNet V2, we effectively reduced the model’s parameter count by streamlining convolutional layers, decreasing stacking depth, and optimizing output channels. …”
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Transport of Volatiles in Agglutinates from Lunar Regolith of Chang’e-5 Mission by Long Li, Guang Zhang, Hui Zhang, Yuan Xiao, Shaofan Zhao, Jian Song, Wei Yao, Weihua Wang, Zhigang Zou, Mengfei Yang

“…By integrating elemental distribution data, we propose that the formation of these smooth, open pores is primarily due to the flow of gaseous volatiles, byproducts of intricate physiochemical reactions occurring in the lunar surface layer during impacts by micrometeoroids. Numerical models of volatile transport in the porous agglutinate have been developed for different flow regimes. …”
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Cross-Modal Object Detection Based on Content-Guided Feature Fusion and Self-Calibration by Liyang Ning, Xuxun Liu, Luoyu Zhou, Xueyu Zou

“…To address these issues, we propose a dual-backbone cross-modal object detection model based on YOLOv8n. First, we introduce a parallel network in the backbone to enable the model to process information from different modalities simultaneously. …”
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Impedance of a flow-through measuring electrochemical cell with a system of planar interdigitated microelectrodes by A. G. Kozlov, E. A. Fadina

“…To assess the influence of the cell height and geometric parameters of the interdigitated microelectrodes on the cell impedance, an analytical approach is proposed that uses several levels of modeling electrochemical processes in the cell. At first, an elementary two-dimensional subdomain is distinguished in the cell structure, for which the potential distribution is determined by solving the differential equation of electrical conductivity. …”
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Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins' Analogical Architectural Design Classification Framework by Hüseyin Özdemir

“… This study focuses on analogical reasoning and deep learning models to enhance the innovative design process in architecture. …”
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Petroleum reservoir simulation using super-element method with local detalization of the solution by A.B. Mazo, K.A. Potashev

“…In this paper, we propose a two-stage method for petroleum reservoir simulation. The method uses two models with different degrees of detailization to describe the hydrodynamic processes of different space-time scales. …”
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Numerical study on the influence of installation effect on laterally loaded piles in sand by SU Dong, WU Zexiong, LEI Guoping, WANG Shun

“…In order to study the influence of the installation effect caused by pile penetration into a sand foundation on the pile horizontal bearing capacity, we establish a numerical model to simulate the penetration process and the horizontal loading process of the pile and analyze the response of pile. …”
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