Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature by Muhammad Ishtiaq, Saurabh Tiwari, Molakatala Nagamani, Sung-Gyu Kang, Nagireddy Gari Subba Reddy

“…We propose an easy-to-use model’s GUI to predict steel composition to achieve desired properties at any temperature. …”
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Development of a personalized diet using the structural optimization method by A. B. Lisitsyn, I. M. Chernukha, M. А. Nikitina

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Research on Acoustic and Parametric Coupling of Single-Layer Porous Plate–Lightweight Glass Wool Composite Structure Doors for Pure Electric Vehicles by Jintao Su, Xue Li, Haibiao Yang, Ti Wu

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Composite Materials of Epoxy Resin–W System for Radiation Shielding Against Gamma Radiation by A. A. Rotkovich, D. I. Tishkevich, S. A. German, A. A. Bondaruk, S. V. Leonchik, E. S. Dashkevich, V. M. Fedosyuk, A. V. Trukhanov

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Interphase investigation of modified McLachlan model and the 3D finite element method for electrical conductivity by Muhammad Zulkarnain, Irianto Harny, A.A.M. Damanhuri

“…This paper explores the electrical conductivity interphase of Ag/Epoxy composite using modified McLachlan theory and 3D finite element composite model through experimental verification. …”
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Variable Cluster Analysis of Employment in the Cities of the Russian Federation by I. A. Zalmanov

“…The study revealed that statistically homogeneous clusters of cities have specific administrative composition, which predetermines the characteristics of multifactor regression models of employment, the parameters of which are recommended for use in developing measures to regulate employment and the socio-economic development of cities.…”
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Parametric Updating of Steel Strand Stay Cable Force Calculation Model Based on Response Surface Method by Shizhan Xu, Yinggang Ma, Hao Zhang

“…This method selects the central composite design in the response surface method. …”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…Experimental results demonstrate that our method achieves an IoU of 89.8% and a precision of 90.2%, outperforming baseline models and showing strong generalizability across diverse remote sensing conditions.…”
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Analysis on the Error Correction Method of 2m Temperature Hourly Forecast Based on CMA-GD Model by Jian LI, Qi FAN, Ying ZHANG, Xingsheng XU

“…The most significant meteorological component is temperature， and weather forecasting relies heavily on how accurately temperatures are predicted.This study uses a linear non-graded regression method to rectify the inaccuracies in temperature forecasts induced by terrain variation in the 2 m temperature hourly forecast product of the mesoscale numerical model （China Meteorological Administration Guangdong， CMA-GD）， and use the one-dimensional Kalman filtering method and the double-weighted moving average method to correct the results.The accuracy of the hourly distribution exhibits a diurnal variation feature， and the model terrain height deviation is linearly negatively connected with the temperature error mean value， according to the results.The daytime correction impact is superior than the nighttime correction effect following the ungraded regression method.recorrecting using the best time frame for mathematical correction techniques （15 days for the Kalman method and 20 days for the mean method）.It is discovered that the mean method's re-correction effect outperforms the Kalman methods， and that the correction effect is more pronounced during the day than at night.Summer and autumn have a better re-correction impact than winter and spring， with some negative correction effects in spring and little difference between the two techniques in the latter.In the former， the mean value method outperforms the Kalman method.There are eight stations with negative correction following the ungraded regression method， but no negative correction stations follow the mathematical correction methods.Therefore the northern region typically experiences a better corrective impact than the southern region.The fraction of correction magnitude for both MAE and ACC is positively correlated with a binomial connection.The terrain deviation correction method has the least slope and restricted correction effect， while the mean value approach has the best correlation and largest slope.An error assessment was conducted in the middle part of Poyang Lake Plain and the south Zhejiang-Fujian hilly region.The peak error value in the former was lower than that in the latter， and the correction amplitude at the peak was smaller.After correction， the MAE decreased by 25.1% and 19.8%， respectively.From November 2022 to January 2023， during frequent cold air intrusions， the MAE in the middle part of the Poyang Lake Plain decreased by 13.5%.With corrected forecast errors oscillating around the zero axis and a noticeable improvement in systematic positive errors， the model significantly overestimates the temperature forecast for high mountain areas.The temperature forecast errors oscillate with the smallest amplitude from August to October and the largest amplitude in spring and winter.Taking the warming process （May 1-6， 2022） and the strong cooling process （November 28-December 3， 2022） as examples， the corrected MAE decreased by 18.2% and 16.0%， respectively， indicating that the method has achieved stable correction effects during transitional weather.This composite method has good stability， strong forecast correction ability， easy to promote.…”
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Reengineering the Management Model of Defense to Overcome Separatism in Papua for National Interests by Faonaso Harefa, Sovian Aritonang, Asep Adang Supriyadi, Cecilia F. Harsono

“…Cronbach’s alpha and composite reliability values ​​that show high internal consistency. …”
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ABOUT A «DIGITAL TWIN» OF A FOOD PRODUCT by Marina A. Nikitina, Irina M. Chernukha, Andrey B. Lisitsyn

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Development of a rational composition of a polyenzyme composition in the technology of bioscouring of cotton fabrics by Ksenia A. Lenko, Natallia N. Yasinskaya, Natallia V. Skobova

“…Based on the obtained models, graphic images of the dependence of the properties of cotton fabrics after bioscouring on the qualitative and quantitative composition of the multienzyme composition were constructed. …”
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Comprehensive DEM Calibration Using Face Central Composite Design and Response Surface Methodology for Rice–PLA Interactions in Enhanced Bucket Elevator Performance by Pirapat Arunyanart, Nithitorn Kongkaew, Supattarachai Sudsawat

“…The calibration process employed a multi-phase experimental design integrating Plackett–Burmann screening, steepest ascent method, and Face Central Composite Design to systematically identify and optimize critical micro-mechanical parameters for agricultural material handling. …”
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Advances in interlayer bonding in fused deposition modelling: a comprehensive review by Mohamed A. E. Omer, Ibrahim Abdelfadeel Shaban, Abdel-Hamid Mourad, Hussien Hegab

“…Fused deposition modeling (FDM) has established itself as a major additive manufacturing technology for the production of parts made of polymer and composite materials. …”
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Modelling of Peripheral Wood Milling Power Using Design of Experiment Approach by Miran Merhar, Aldin Bjelić, Atif Hodžić

“…The model proved to be suitable, as the deviations between the measured and modelled power values are minimal.…”
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Determination of optimal thickness level of Komagataeibacter xylinus bacterial cellulose based on media composition of fructose, ammonium sulfate, and soybean boiling wastewater us... by Jasmin Tiara Cinta Saffira, Nugroho Darmawan Ari, Suyantohadi Atris, Kurniawan Muhammad Prasetya

“…Research has focused on finding the optimal media composition to enhance the production of Komagataeibacter xylinus bacterial cellulose using the 3-factor and 2-level Taguchi method and determining the kinetic model for bacterial cellulose formation in the optimal media composition. …”
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Modern technology of investment casting for the production of artistic castings by S. S. Tkachenko, V. O. Emelyanov, K. V. Martynov

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Tensile and Flexural Properties of 3D-Printed Polylactic Acid/Continuous Carbon Fiber Composite by Ali Khalili, Abdolvahed Kami, Vahid Abedini

“…Fused deposition modeling is one of the most common methods of additive manufacturing that has enabled the 3D printing of composites. …”
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A cell-based smoothed discrete shear gap method (CS-FEM-DSG3) for dynamic response of laminated composite plate subjected to blast loading by Dang Trung Hau, Nguyen Thoi My Hanh, Nguyen Thoi Trung

“…The cell-based smoothed discrete shear gap method (CS-FEM-DSG3) based on the first-order shear deformation theory (FSDT) and the equivalent layer theory (ELT) is used to model the behavior of the laminated composite plate. …”
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Finite Element Modeling for Buckling Analysis of Tapered Axially Functionally Graded Timoshenko Beam on Elastic Foundation by Masoumeh Soltani

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