Development and Performance of a Wood Adhesive with Camellia oleifera Protein Doped with Soy Oligopeptide by Jiankun Liang, De Li, Longxu Wu, Xue Deng, Chuchu Chen, Tong Meng, Huali Li, Zhanguang Wang, Zhigang Wu

“…This process enhanced the adhesive’s initial viscosity and overall stability. …”
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An overview on the dry heat treatment (DHT) for starch modification: Current progress and prospective applications by Hong-Ju He, Guanglei Li, Mohammed Obadi, Xingqi Ou

“…Starch plays a pivotal role in numerous applications, making the enhancement of its functionality through physical processes increasingly important. Dry heat treatment (DHT) is a straightforward and eco-friendly technique that significantly improves starch characteristics and boosts food quality. …”
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Design and Simulation of an Optimized Reliable Microgrid System for Kabale University Using Solar and Battery Storage. by Aturinde, Alban

“…The design process involved load assessment, component selection and sizing, control strategy implementation, and performance analysis. …”
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Evaluation of Prediction Models for the Capping and Breaking Force of Tablets Using Machine Learning Tools in Wet Granulation Commercial-Scale Pharmaceutical Manufacturing by Sun Ho Kim, Su Hyeon Han, Dong-Wan Seo, Myung Joo Kang

“…We identified eight input variables associated with the process and material parameters that control the tableting outcome using feature importance analysis. …”
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Tracing the Evolution and Legacy of Professor A.P. Iofinov’s Scientific School by S. G. Mudarisov, R. R. Kamaletdinov

“…Furthermore, they have played a crucial role in the creation of digital twins for agricultural machines, based on models of technological processes. This advancement significantly enhances the precision and efficiency in resource utilization, improves the quality of work, and boosts productivity in agriculture.…”
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Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net by Matteo Cesario, Simon J. Littlewood, James Nadel, Thomas J. Fletcher, Anastasia Fotaki, Carlos Castillo-Passi, Reza Hajhosseiny, Jim Pouliopoulos, Andrew Jabbour, Ruperto Olivero, Jose Rodríguez-Palomares, M. Eline Kooi, Claudia Prieto, René M. Botnar

“…Bright-blood segmentation at 1.5T on iT2PrepIR-BOOST datasets (1.3 and 1.8 mm3) and 3D CMRA datasets (0.9 mm3) resulted in DSC ≥ 0.96 and IoU ≥ 0.92. …”
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A Conceptual Framework for Intellectual Capital to Drive Digital Transformation in Indonesia's Transportation Sector by Fariz Fariz, Tutik Winarsih

“…'Knowledge Management' displayed the highest readiness level, followed by 'Planning and Processes.' Conversely, 'Transformational Technologies' and 'Creativity and Innovation' scored lowest in readiness. …”
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AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

“…The Decision Tree model achieved the highest accuracy in yield prediction, with an R² of 0.9445, mean squared error (MSE) of 16.43, and mean relative deviation (MRD) of 2.66 %. The CatBoost model outperformed other algorithms for HHV prediction, yielding an R² of 0.9788, an MSE of 1.63, and an MRD of 3.71 %. …”
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The Role of Government in Overcoming Industrial Development Impact towards Environmental Sustainability by Bayu Mitra Adhyatma Kusuma

“…Industrial development is a process that moves in a straight line, from the backward communities to advance society. …”
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Implementing a dung beetle optimization algorithm enhanced with multi-strategy fusion techniques by xiaojie zhou, Majid Khan Majahar Ali, Farah Aini Abdullah, Lili Wu, Ying Tian, Tao Li, Kaihui Li

“…The findings indicate that the improved method significantly boosts both the convergence rate and the accuracy of the optimization process.   …”
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Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window by Jin He, Yinzhen Li, Yuhong Chao, Ruhu Gao

“…Neighborhood solution strategies include the increase or haut of train operations and the adjustment of the number of stops, which refines the solution space and boosts the process efficiency of the heuristic algorithm. …”
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Biogas upgrading towards acetic acid production using Clostridium thailandense supplemented with granular activated carbon (GAC) and L-arginine: A genomic analysis approach by Srisuda Chaikitkaew, Nantharat Wongfaed, Chonticha Mamimin, Sompong O-Thong, Alissara Reungsang

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Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine by Yuwei Duan, Zihan Xu, Huiyi Chen, Yue Wang

“…Urbanisation, technology, and consumer behaviour have boosted need for innovative power use and price control systems. …”
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Temperature dependent microstructural defects and surface charge effects on antioxidant activity of green synthesized nanoceria by Musa Kabagambe, Isa Ahuura, Sam Kinyera Obwoya, Emma Panzi Mukhokosi

“…Reuse of the clarified supernatant in successive cycles boosts yield exponentially without added metal oxide precursor, highlighting intrinsic process efficiency. …”
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GAGAN: Enhancing Image Generation Through Hybrid Optimization of Genetic Algorithms and Deep Convolutional Generative Adversarial Networks by Despoina Konstantopoulou, Paraskevi Zacharia, Michail Papoutsidakis, Helen C. Leligou, Charalampos Patrikakis

“…The discriminator, which classifies images as real or fake, is optimized not only through standard backpropagation, but also through a GA framework that evolves its weights via crossover, mutation, and selection processes. This hybrid method aims to enhance convergence stability and boost image quality by balancing local search from gradient-based methods with the global search capabilities of GAs. …”
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The Initial Attitude Estimation of an Electromagnetic Projectile in the High-Temperature Flow Field Based on Mask R-CNN and the Multi-Constraints Genetic Algorithm by Jinlong Chen, Miao Yu, Yongcai Guo, Chao Gao

“…During the launching process of electromagnetic projectiles, radiated noise, smoke, and debris will interfere with the line of sight and affect the accuracy of initial attitude estimation. …”
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Integrating building information modeling and bayesian network for enhanced go/no-go decisions in building demolition projects by T.J.W. Adi, Y.P. Devia, N. Andriyani

“…The model boosts the precision of planning and aids in pinpointing significant influencing factors, like structural integrity and the costs associated with retrofitting. …”
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Performance Enhancement and Addressing Cross-Regulation in MIMO DC-DC Converters for Electric Vehicles by R. Aravind, Bharatiraja Chokkalingam, Rajesh Verma, Lucian Mihet-Popa

“…This research presents a novel examination of Dual-Input Dual-Output DC-DC Boost, Buck, and Buck-Boost Converters, which are intended to transform a DC voltage input into several DC output voltage levels suitable for EVs. …”
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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study by Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

“…However, the practical benefits of feature selection methods on EADP performance are still unknown, and blindly employing the best‐performing CorBF method in CBDP to pre‐process the defect datasets may not improve the performance of EADP models but possibly result in performance degradation. …”
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Green Construction in China: Development Concept, Leading Directions, and Technological Innovation by Liucun Sun, Xuwen Xiao, Tong Zhu, Yujie Lu, Wenjin Zhang, Na Wang

“…The development of green construction should implement the concept of people-oriented development, taking builders, users, and related persons as the foremost in the construction process. Focus should be placed on the following leading directions: integration of the entire construction process, efficient utilization of resources, waste and carbon emission reduction, lean engineering management, intelligent construction process, and professional engineering operations. …”
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