Combined Application of Balanced Chemical and Organic Fertilizers on Improving Crop Yield by Affecting Soil Macroaggregation and Carbon Sequestration by Hongmei Song, Bin Yang, Yifei Liang, Lifan Yang, Jiarong Song, Tingliang Li

“…The results revealed a significant positive linear correlation between carbon sequestration and carbon input, with a carbon sequestration efficiency of 27.4%. …”
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Integration of Aerial Mapping using UAV and Low-cost Backpack LiDAR for Biomass and Carbon Stock Estimation Calculation by Q. P. A. N. Ila, M. N. Cahyadi, H. H. Handayani, A. B. Raharjo, R. Mardiyanto, I. W. Farid, D. Saptarini, E. E. Saratoga

“…The use of UAV (Unmanned Aerial Vehicles) and Backpack LiDAR technology has emerged as an efficient alternative solution for forest inventory. …”
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Short-term scheduling optimization of battery electric buses in the context of sustainable energy resources under uncertainty by Muhammad Ahmad Iqbal, Ismail I. Almaraj

“…However, a critical obstacle lies in efficiently assigning BEBs to suitable charging stations (CSs) during daily transit operations, which still need enough space to be filled. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…The comparison between the original measured and predicted values of the BP-neural network showed that the relative errors, with a few exceptions, were lower than 2.5%.In conclusion, the BP-neural network model can well reveal the complicated non-linear relationship between the input and output water quality variables in intensive P. vannamei tanks, and the improved BP-neural network (FABPM) method based on fuzzy method has the characteristics of fast convergence, high accuracy and good stability. …”
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Advancing circular economy transition in the Nigeria construction industry through digital twin technology adoption by Imoleayo A. Awodele, Emmanuel C. Eze, Angel M. Gento Municio, Molusiwa S. Ramabodu, Nathaniel A. Olatunde

“…Despite the environmentally detrimental consequences of the prevailing traditional linear project delivery model, research on the influence of digital twinning (DT) in facilitating the transition to a circular economy (CE) within the construction sector of developing nations has garnered limited attention. …”
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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates by Sudip Kunwar, Md Ali Babar, Diego Jarquin, Yiannis Ampatzidis, Naeem Khan, Janam Prabhat Acharya, Jordan McBreen, Samuel Adewale, Gina Brown‐Guedira

“…A panel of 341 soft wheat elite lines was evaluated for biomass partitioning and yield‐related traits from 2022 to 2024 in Citra, FL. Genomic best linear unbiased predictor (GBLUP) and Bayesian methods performed similarly or better than machine learning models for SPI, harvest index (HI), and GY. …”
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Dietary Digestible Protein Requirement in Finishing Pigs: A Study for Experimental Determination and Verification by Shengkai Li, Hui Ma, Jianliang Wu, Jihe Lu, Shiyan Qiao, Xiangfang Zeng, Junyan Zhou

“…In Experiment 1, 450 pigs were fed diets with graded DP levels (8.82–11.26%). Linear and quadratic regression models identified 9.55% DP as the optimal level, optimizing average daily gain and feed efficiency (R² ≥ 0.94). …”
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U-Shaped Dual Attention Vision Mamba Network for Satellite Remote Sensing Single-Image Dehazing by Tangyu Sui, Guangfeng Xiang, Feinan Chen, Yang Li, Xiayu Tao, Jiazu Zhou, Jin Hong, Zhenwei Qiu

“…Although multi-scale hybrid models combining convolutional neural networks and Transformers show promise, the quadratic complexity of Transformer complicates the balance between ERF and efficiency. Recently, Mamba achieved global ERF with linear complexity and excelled in modeling long-range dependencies, yet its design for sequential data and channel redundancy limits its direct applicability to RSSID. …”
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Prediction of Metal Additively Manufactured Bead Geometry Using Deep Neural Network by Min Seop So, Mohammad Mahruf Mahdi, Duck Bong Kim, Jong-Ho Shin

“…These findings emphasize the potential of deep learning techniques to enhance the accuracy and efficiency of WAAM processes.…”
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Oil extraction from Pterygoplichthys pardalis with Alcalase®2.4 L using Plackett-Burman experimental design by Andy J. Gómez-Valdéz, Rocío Meza-Gordillo, Miguel Abud-Archila, Guillermo E. Ovando-Chacón, Sandy L. Ovando-Chacón

“…These parameters predicted a theoretical oil extraction yield of 54.60 %, and the factors were fitted to a linear equation 4 (r² = 0.9826). Validation of the optimized conditions in a subsequent stage yielded an extraction efficiency of 44 %. …”
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Adaptive Control Method of Peak Shaving Demand Response Program for Flexible Load Virtual Power Plant by ZHOU Jixing, WANG Kangsang, LIU Weifeng, WU Haijie, MENG Chao, HE Guangyu

“…In the proposed closed-loop control model， the controlled process was decoupled into a small-scale linear progress deviation model and a peak-shaving electricity correction model， each placed within the controller and feedback loop. …”
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Decomposing door-to-needle time: insights into workflow delays and quality improvement in acute stroke care by Lianyan Wei, Hongfei Li, Zhuangzhuang Jiang, Dongjuan Xu, Xiaolan Wu

“…Segmenting DTN time enables precise identification of key delays across different workflow stages and may enhance the efficiency of acute stroke care.…”
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Optimization of multioutlet hydrant location and pressurized irrigation network layout using the GRASP metaheuristic by César González-Pavón, Carmen Virginia Palau, Juan Manzano-Juárez, Santiago Guillem-Picó, Ibán Balbastre-Peralta

“…By obtaining a greater number of multioutlet hydrants, both the diameter and the linear meters of connections to the plot to be drawn are considerably reduced, which greatly reduces land excavation. …”
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Research on refined UAV inspection method of wind/solar power stations based on YOLOv8 by Jieyi Pu, Qifeng Zhang, Wenbo Zhao, Wei Zhang, Zengren Qin, Yumeng Zhang

“…Abstract More and more research is focusing on the unmanned aerial vehicle (UAV) inspection of onshore wind/solar power stations; however, how to balance the contradiction between detection accuracy and efficiency is still a challenge for domestic and international researches. …”
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Prediction-Based Distributed State Estimation Control for IoT-Enabled Train Positioning Systems by L. Ponnarasi, P. B. Pankajavalli, Y. Lim, R. Sakthivel, Sultan Alfarhood, Mejdl Safran

“…Using Lyapunov stability theory and stochastic analysis, sufficient conditions are derived in the form of linear matrix inequalities to obtain estimator and control gains. …”
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Design and Analysis of Modular Neural Network-Based PI-Controller Ensemble With Karush-Kuhn-Tucker Conditions for Grid-Connected Photovoltaic Systems Under Ground Fault Conditions by Burla Sridhar, Soorya Prakash Shukla, Ritesh Dash, Arpan Dwivedi, G. C. Biswal, Nivedita Singh, Mukesh Kumar Chandrakar, Kalvakurthi Jyotheeswara Reddy, Bhabasis Mohapatra, Binod Kumar Sahu

“…Traditional PI controllers through their widely used simplicity lack adaptability under non-linear and time varying conditions, leading to poor dynamic performance, increased total harmonic distortion, and compromised grid stability. …”
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Sensitivity analysis and optimization of heat transfer in the time-reliant magnetohydrodynamic bioconvective flow of radiative couple-stress hybrid nanofluid through a squeezing ch... by Seetalsmita Samal, Surender Ontela

“…The complex system of interrelated non-linear partial differential equations is converted into a set of ordinary differential equations using suitable transformations. …”
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Distributed MIMO Networks With Rotary ULAs for Indoor Scenarios Under Rician Fading by Eduardo N. Tominaga, Onel L. A. Lopez, Tommy Svensson, Richard D. Souza, Hirley Alves

“…In this work, we propose the utilization of Access Points (APs) equipped with Rotary Uniform Linear Arrays (RULAs) for this purpose. Considering a spatially correlated Rician fading model, the optimal angular position of the RULAs is jointly computed by the central processing unit using particle swarm optimization as a function of the location of the active devices. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The presented study aims to fill these gaps and demonstrate the efficiency of using open, accessible data and known algorithms. …”
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A deep learning-assisted automatic measurement of tear meniscus height on ocular surface images and its application in myopia control by Weixiao Zhang, Hua Rong, Kaiwen Hei, Guihua Liu, Meinan He, Bei Du, Ruihua Wei, Yan Zhang

“…The AUC of the ROC curve was 0.935, and the R2 of the linear regression analysis was 0.92. The good performance and comprehensive validation of the model warrants its application to automatic TMH measurement in clinical trials of myopia control. …”
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