Durability Evaluation of Concrete in Cold and Arid Regions Based on Grey Relational Theory by Li Gong, Ying Liang, Bingzong Zhang, Xuelei Gong, Yiqun Yang

“…The results show that using the test results and the optimized grey relational analysis evaluation model, the concrete specimens mixed with an air-entraining agent have strong resistance to composite erosion. …”
Get full text

Development of water vapor permeability determination methodology for spray film-forming systems by M. M. Shumkova, M. V. Pomytkina, A. A. Ananian, G. Pouya, M. M. Agabalyan, E. O. Bakhrushina

“…Comparative analysis of materials was carried out on a model composition containing 0.5 % (m/o) Kollicoat® MAE 100P (BASF, Germany), 3 % (m/o) Soluplus® (BASF, Germany), 2 % (m/o) Kollisolv® PEG-400 (BASF, Germany), 70 % ethyl alcohol (SOJSC "Ferein", Belarus).Results and discussion. …”
Get full text

Stop Plan of Express and Local Train for Regional Rail Transit Line by Qin Luo, Yufei Hou, Wei Li, Xiongfei Zhang

“…Then, based on the composition of passenger travel time, an integer programming model for train stop scheme, aimed at minimizing the total passenger travel time, is proposed. …”
Get full text

Interdiffusion coefficient and atomic mobility for fcc Ag-Cu-Mg phase at 1073 K by Du C.-B., Huang S.-P., Min Q.-H., Liu Y.-L., Wen S.-Y.

“…Moreover, the obtained atomic mobilities were confirmed to be reliable by good agreements between the model-simulated and the measured composition profiles. …”
Get full text

OSMOLYTIC AND ADSORPTIVE ACTIVITIES DETERMINATION IN VITRO OF OINTMENT COMPONENTS ON THE BASIS OF CO2 EXTRACT FROM SEEDS OF SCHIZANDRA CHINENSIS by M. S. Makieva, Yu. A. Morozov

“…Biopharmaceutical researches in vitro were carried out to choose optimal ointment composition with osmolytic and absorptive activity. …”
Get full text

Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil by Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi

“…The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. …”
Get full text

The Effect of Temperature on the Spectral Emission of Plasma Induced in Water by B. Charfi

“…A model based on equilibrium equations has been developed for the computation of the plasma composition and excited levels population. …”
Get full text

Automatic license-plate recognition by A. V. Poltavskii, T. G. Yurushkina, M. V. Yurushkin

“…Quality of the system is provided through the optimization of various models with different modifications. …”
Get full text

Effect of varying thickness properties of the slow release fertilizer films on morphology, biodegradability, urea release, soil health, and plant growth. by Zahid Majeed, Shamyla Nawazish, Ayesha Baig, Wasim Akhtar, Atia Iqbal, Wisal Muhammad Khan, Syed Majid Bukhari, Asma Zaidi, Pau Loke Show, Nurlidia Mansoor

“…Current work examined the morphology, chemical composition, biodegradability, urea release, soil health, and plant growth effects of the SRF films subjected to changes in the thickness of 0.27, 0.54, and 1.03 mm. …”
Get full text

Influence and Mechanism of Solid-Phase Particle Factors on Oil–Solid Separation of Oily Sludge Treated by Flotation Method by Shuhui Wu, Xue Yao, Xiao Wang, Wenyan Yuan, Qiuhong Li, Xiaoyin Niu, Yanfei Ma

“…The solid phase composition in oily sludge (OS) is a key factor affecting the oil–solid separation of OS. …”
Get full text

TECHNOLOGY FOR EFFICIENT USAGE OF HYDROCARBON-CONTAINING WASTE IN PRODUCTION OF MULTI-COMPONENT SOLID FUEL by B. M. Khroustalev, A. N. Pekhota

“…A paper also provides a model of technological process with efficient sequence of technological operations and parameters of optimum component composition. …”
Get full text

Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…Automating and digitizing histopathological images of these plaques into tissue specific (lipid and calcified) regions can help us compare histologic findings to in vivo imaging and thereby enable us to optimize medical treatments or interventions for patients based on the composition of plaques. …”
Get full text

Characterization and strength prediction of a Belite cement matrix incorporating micro glass powder by Tchedele Langollo Yannick, Bilkissou Alim, Mohamadou Alpha Ali, Djobo Yankwa Jean Noel, Patrick Lemougna Ninla, Tchamba Arlin Bruno, Ngounouno Ismaïla, David Houivet

“…Microstructural analyses confirmed the formation of secondary calcium silicate hydrates (C-S-H) and reduced porosity in modified pastes. Statistical modeling yielded high-accuracy predictive equations (R2 ≥ 0.92) for strength properties as functions of composition, curing time, and microstructure. …”
Get full text

Green-Fuel Production Through Co-Processing Biomass Derived Oil with Standard Gasoil Feedstock by Rizki Ekananda, Rokhmaturrokhman Rokhmaturrokhman, Wilda Yuni Parinduri, Zaky Al Fatony

“…The Advanced Cracking Evaluation (ACE) reactor modeled one cycle of reaction and regeneration. Product yields were calculated using mass balance of liquid and gas products, modeled with GC Simdist, GC RGA, and CO2 Analyzer, while gasoline octane number was based on PONA composition using GC DHA. …”
Get full text

Inversion analysis of constitutive relations of blade spar laminates with wrinkle defects by Ning Sun, Bo Zhou, Haocheng Zheng, Yingwei Wang

“…Four sets of uniaxial tension tests were conducted on specimens with varying defect sizes to obtain their corresponding load-displacement curves. A hybrid optimization method integrating Bayesian regularized backpropagation neural networks and particle swarm optimization was developed to inversely determine the constitutive parameters of composite laminates. …”
Get full text

Data‐Driven Design of Mechanically Hard Soft Magnetic High‐Entropy Alloys by Mian Dai, Yixuan Zhang, Xiaoqing Li, Stephan Schönecker, Liuliu Han, Ruiwen Xie, Chen Shen, Hongbin Zhang

“…Using ensemble learning, predictive models are integrated to capture the relationships between composition, crystal structure, mechanical, and magnetic properties. …”
Get full text

Critical Evaluation and Validation of a High-Throughput Microplate-Based Cupric Reducing Antioxidant Capacity Method for the Analysis of Fish Feed Ingredients by Aleksander Arnø, Viviana Sarmiento, Odd Elvebø, Pedro Araujo

“…Solvent combinations consisting of methanol, ethanol, and water were evaluated to identify the mixture that ensures complete dissolution and maximum absorbance signal, using a ternary plot diagram and mathematical modeling. A methanol/water ratio of 0.64:0.36 was identified as the optimal solvent composition. …”
Get full text

Synthesis, Spectral Characterization and Biocidal Studies of Copper(II) Complexes of Chromen-2-one-3-carboxy Hydrazide and 2-(Chromen-3'-onyl)-5-(aryl)-1,3,4-oxadiazole Derivatives by Glory Mathew, R. Krishnan, Molly Antony, M. S. Suseelan

“…Distorted octahedral geometry for all the Cu(II) complexes is proposed. Molecular modeling studies have been made for the rapid structure building, geometry optimization and molecular display. …”
Get full text

Revitalizing agriculture with the potential of cashew nutshell liquid: a comprehensive exploration and synergy with AI by Sneha Nayak, Roopa B. Hegde, Abhishek S. Rao, H. K. Sachidananda

“…Additionally, it highlights the burgeoning role of artificial intelligence and machine learning models in predicting CNSL emissions, yield, crop health, and cashew kernel quality checks, offering a holistic decision support system for supply chain optimization. …”
Get full text

Design and Assessment of an Austenitic Stainless Alloy for Laser Powder Bed Additive Manufacturing by Mariam Assi, Julien Favre, Marcin Brykala, Franck Tancret, Anna Fraczkiewicz

“…A computational approach is proposed to design novel and optimized austenitic alloy compositions. This method integrates a suite of predictive tools, including machine learning, calculation of phase diagrams (CALPHAD) and physical models, all piloted by a multi-objective genetic algorithm. …”
Get full text