Evaluation of drug release from topical dosage forms and permeability prediction through the skin barrier (review) by N. B. Melnikova, I. A. Sheferov, A. A. Emasheva, A. A. Sheferova, D. A. Panteleev, A. I. Slivkin

“…The paper showed statistical methods of data analysis (MANOVA, ANOVA) and model-dependent methods (zero order, first order, Higuchi model, Korsmeyer – Peppas model, Hixson – Crowell model, etc.). …”
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Accompanying study of the development process towards a smart city strategy-with a particular focus on social change by Christian SCHACHTNER, Nadine BAUMANN

“…The Objectives  of the work are a supervised process of a model facility, on the basis of which observations for a process model are to be derived. …”
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Navigating Ecological–Economic Interactions: Spatiotemporal Dynamics and Drivers in the Lower Reaches of the Jinsha River by Zhongyun Ni, Yinbing Zhao, Jingjing Liu, Yongjun Li, Xiaojiang Xia, Yang Zhang

“…Additionally, the study applies a geographic detector model to identify the spatial drivers of the EEI, an obstacle factor diagnosis model to pinpoint the main barriers to EDI, and a neural network model to uncover the underlying forces shaping EECCD. …”
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The effect of the thermal conductivity by the materials of contact surfaces on the heat balance of the jet-grouting drill stem hydraulic elements by Novikov V.I.

“…The temperature values are calculated by the finite element method in the «Siemens Femap’s» environment depending on the change in the thermal conductivity coefficients of the contacting elements. …”
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Methodological basis for the implementation of train formation plans for carriers in the train schedule at the infrastructure site by E. A. Fedorov

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Financing “Green” Projects: Features, Risks and Tools by E. V. Chaikina, V. P. Bauer

“…Based on the research carried out in the article, the following results were obtained: an analysis was made of the specifics of the requirements for financing “green” projects; clarified the features of the classification of climate risks and formulated an approach to their transformation into corporate credit risks; the composition of the instruments is determined and their interpretation as controlled aggregates is proposed; the operator model of the units was developed, proposals for its practical use were made. …”
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Advanced pathological subtype classification of thyroid cancer using efficientNetB0 by Hongpeng Guo, Junjie Zhang, You Li, Xinghe Pan, Chenglin Sun

“…The data underwent preprocessing, and 10 AI models, including EfficientNetB0, were compared. EfficientNetB0 was selected, trained, and validated, with microenvironment features such as tumor-immune cell interactions and extracellular matrix (ECM) composition extracted from the samples. …”
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Exploring the role of edges in surface functionalization and stability of plasma-modified carbon materials: Experimental and DFT insights by Divya Kumar, Marek Białoruski, Witold Piskorz, Andrzej Kotarba

“…Graphenic paper, highly oriented pyrolytic graphite (HOPG), and graphenic flakes were employed as model systems, with oxygen plasma treatment (generator power 100 W, oxygen pressure 0.2 mbar, exposure time 6 – 300 s) serving as the modification method. …”
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Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification by Tikam Chand Dakal, Caiming Xu, Caiming Xu, Abhishek Kumar, Abhishek Kumar

“…This review hunts through the cutting-edge computational methodologies that integrate multi-omics data—such as metagenomics, metaproteomics, and metabolomics—providing a comprehensive understanding of the gut microbiome's composition and function. Additionally, machine learning (ML) approaches, including deep learning and network-based methods, are explored for their ability to uncover complex patterns within microbiome data, offering unprecedented insights into microbial interactions and their link to host health. …”
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Software Package for Optimization of Burner Devices on Dispersed Working Fluids by Ruslan V. Fedorov, Igor I. Shepelev, Mariia A. Malyoshina, Dmitry A. Generalov, Vyacheslav V. Sherkunov, Valeriy V. Sapunov

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Research on the efficient development of shallow geothermal energy: Experimental and numerical investigations on the heat transfer characteristics of the soil-cement energy pile by Huimin RONG, Xun ZHOU, Lizhi WANG, Jia ZHENG, Qimin LI

“…By means of numerical simulation using COMSOL Multiphysic5.0 software and similarity model experiment with a similarity ratio of 1/2, the heat transfer mechanisms of the ground heat exchanger in the soil-cement pile and the soil are compared and studied, the spatio-temporal variation rules of temperature field distribution are discussed, and the calculation method of the soil-cement energy pile is established preliminarily. …”
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Parameters of the UNIQUAC model for describing the vapor-liquid phase equilibrium of D₂-T₂, D₂-DT, DT-T₂ hydrogen isotope mixtures by T. G. Korotkova

“…Determination of the parameters of the binary energy interaction of the (UNIversal QUAsiChemical) UNIQUAC model on the basis of mathematical processing of experimental literature data on the phase equilibrium of hydrogen isotopic mixtures D2-T2, D2-DT, DT-T2 to calculate the activity coefficients of the components D2, DT, and T2.Methods. …”
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Building structures thermal calculation by A. V. Maistrenko

“…The finite element modeling of the behavior of composite materials under molding is still incomplete. …”
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Heat transfer optimization in magnetohydrodynamic buoyancy-driven convective hybrid nanofluid with carbon nanotubes over a slippery rotating porous surface by Thirupathi Thumma, Surender Ontela, Devarsu Radha Pyari, S.R. Mishra, Subhajit Panda

“…Further, the sensitivity and optimization analysis of the heat transmission rate is carried out using RSM with face-centered central composite design model of experiments. Sensitivity analysis reveals that the highest evaluated value 0.006330 of heat transmission rate is identified at the uncoded values ϕSWCNT=0.01,ϕMWCNT=0.01,N=0.10 and the least value −0.002590 is identified at the uncoded values of ϕSWCNT=0.01,ϕMWCNT=0.03,N=0.10…”
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Reducing carbon dioxide emissions when using methane-hydrogen fuel by A. V. Demin, G. I. Pavlov, P. V. Nakoryakov, D. A. Zainutdinova

“…To determine optimal modes for methane decarbonization, as well as to assess CO2 emissions during subsequent combustion of the pyrolysis gas, including together with the natural gas in various ratios.METHODS. The processes of thermochemical conversion of methane into hydrogen and condensed carbon in a reactor with external heating of the walls were considered. …”
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Hysteresis Compensation and Butterworth Pattern-Based Positive Acceleration Velocity Position Feedback Damping Control of a Tip-Tilt-Piston Piezoelectric Stage by Helei Zhu, Jinfu Sima, Peixing Li, Leijie Lai, Zhenfeng Zhou

“…In order to solve the hysteresis nonlinearity and resonance problems of piezoelectric stages, this paper takes a three-degree-of-freedom tip-tilt-piston piezoelectric stage as the object, compensates for the hysteresis nonlinearity through inverse hysteresis model feedforward control, and then combines the composite control method of positive acceleration velocity position feedback damping control and high-gain integral feedback controller to suppress the resonance of the system and improve the tracking speed and positioning accuracy. …”
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Motion Control Study of Two-legged Wheeled Robot by Checao YU, Xinzhi MA, Xuejun ZHU, Xudong YANG, Huige LAI, Aidi YANG

“…Therefore, proposing an efficient method for the motion control of a two-legged wheeled robot is of great practical significance.Methods This study adopts the idea of a distributed model to establish the dynamics model of the leg-wheel and torso subsystems and address the issue with the huge structure of the overall dynamics model of the two-legged wheeled robot, which is not conducive to characterization and the construction of the controller. …”
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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

“…To validate the availability of the proposed method, various machine-learning and deep-learning models are compared for single-modal and multi-modal data. …”
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Dynamic evolutionary pattern of fractures in tectonically deformed coal-bearing assemblages during loading by Pengxiang ZHAO, Yingying LIU, Shugang LI, Yanqun LIU, Yunchuan LIU, Laolao WANG, Weidong LU

“…Using the mesoscopic damage mechanics model and the two-parameter Weibull distribution, this study constructed a model for fracture propagation characterization of the TDC-bearing combination specimen and developed a flow chart for discriminating the formation path of the dominant fracture in the specimen during loading. …”
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End‐to‐End Crystal Structure Prediction from Powder X‐Ray Diffraction by Qingsi Lai, Fanjie Xu, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Linfeng Zhang, Cheng Wang, Guolin Ke

“…Unlike previous crystal structure prediction methods that rely solely on composition, XtalNet leverages PXRD as an additional condition, eliminating ambiguity and enabling the generation of complex organic structures with up to 400 atoms in the unit cell. …”
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