Charged polystyrene microplastics inhibit uptake and transformation of 14C-triclosan in hydroponics-cabbage system by Enguang Nie, Yandao Chen, Shengwei Xu, Zhiyang Yu, Qingfu Ye, Qing X. Li, Zhen Yang, Haiyan Wang

“…Objective: This study aimed to investigate effects of charged polystyrene microplastics (PS-MPs) on the fate of triclosan in cabbage plants under a hydroponic system. Methods: 14C-labeling method and liquid chromatography coupled with quadrupole/time-of-flight mass spectrometry (LC-QTOF-MS) analysis were applied to clarify the bioaccumulation, distribution, and metabolism of triclosan in hydroponics-cabbage system. …”
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An efficient propagation system through stem cuttings of a multipurpose plant—Ficus tikoua Bur by Tinghong Tan, Yu Peng, Biling An, Fan Gao, Yanni Sun, Chuandong Yang, Hong Yang, Zhihong Lu

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Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

“…Balancing electricity production and distribution remains a central challenge in modern energy systems, especially with the increasing penetration of renewable sources that introduce variability and uncertainty. …”
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Understanding food loss patterns across developed and developing countries using a GDP, growth rate, and health expenditure-based typology by Buse Baykoca, Salim Yılmaz

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Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD by Minjun Kim, Hyojun Kim, Jinhyun Lee, Younghum Cho

“…The purpose of this study was to determine the annual energy consumption that can be attributed to heating, ventilation, and air conditioning (HVAC) systems’ mixing temperature error. To develop a mixing temperature prediction model for a single-duct variable air volume (VAV) system, the mixing temperature was measured using 15 temperature sensors installed in an HVAC mixing chamber as well as the existing air handling unit’s (AHU) mixing temperature sensor. …”
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Development of a High-Speed Time-Synchronized Crop Phenotyping System Based on Precision Time Protoco by Runze Song, Haoyu Liu, Yueyang Hu, Man Zhang, Wenyi Sheng

“…The paper innovatively proposed the Difference Structural Similarity Index Measure (DSSIM) index, combined with statistical indicators (average point number difference, average coordinate error), distribution characteristic indicators (Charm distance), and Hausdorff distance to characterize the stability of the system. …”
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Spatial Interpolation Methods of Temperature Data Based on Geographic Information System—Taking Jiangxi Province as an Example by Zihao Feng, Runjie Wang, Xianglei Liu, Ming Huang, Liang Huo

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A Novel Method for Forecasting Global High-Resolution Precipitable Water Vapor With the Pangu-Weather System by Liangke Huang, Zhouao Zheng, Ge Zhu, Haohang Bi, Haojun Li, Lilong Liu

“…Global reanalysis data and global navigation satellite system (GNSS) face limitations in providing real-time, high spatiotemporal resolution PWV products owing to the latency of reanalysis data and the uneven distribution of GNSS stations. …”
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Influence of Irrigation Frequency and Lateral Spacing on Drip Irrigated Kharif Onion Crop by Mukesh Kumar Mehla, R. K. Jhorar, Sanjay Kumar, Ashish Kumar

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Sustainable framing systems for food security in Saudi Arabia: the synergistic role of agriculture mechanization, farm structure, gender dynamics, and resource optimization by Fatma Mabrouk, Ahmed A. Mashaal, Moataz Eliw, Muhammad Amjed Iqbal, Abdus Samie, Azhar Abbas

“…Thus, the primary objective of this study is to explore the synergistic effect of agricultural mechanization, farm structure, gender dynamics, resource optimization, and agricultural value addition on sustainability of food systems and food security in Saudi Arabia.MethodologyThe autoregressive distributed lag bounds test and Granger Causality were used to analyze data from 1991 to 2019. …”
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Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning by Qingfeng Ruan, Delu Pan, Difeng Wang, Xianqiang He, Fang Gong, Qingjiu Tian

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Hybrid Modified Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Electric Power Consumption Prediction by Molla Addisu Mossie, Estifanos Abeje Sharew, Tewodros Gera Workineh, Yechale Amogne Alemu

“…Addressing the challenges of complex and widely distributed power systems, the study incorporates demographic factors. …”
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Мethodology for calculation of phase behavior of a natural hydrocarbon system with account of formation water mineralization by L. T. Abdrazakova, A. Gilmanov, A. P. Shevelev

“…The existing models do not consider the presence of several roots of material balance equation and water mineralization. …”
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Bifurcation Analysis for a Kind of Nonlinear Finance System with Delayed Feedback and Its Application to Control of Chaos by Rongyan Zhang

“…Firstly, by employing the polynomial theorem to analyze the distribution of the roots to the associate characteristic equation, the conditions of ensuring the existence of Hopf bifurcation are given. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“…The use of deep learning models such as ANNs has also proven to yield favorable results in capturing hidden patterns in patient flow and distribution of hospital workload. The results indicate that decision support systems based on machine learning have the potential to have a tremendous impact on hospital efficiency, considering the decrease in patient waiting times and the more balanced allocation of resources. …”
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Experimental Data and Thermodynamics Modeling (eNRTL and mUNIFAC) of the (Cyclohexane + Benzene + N,N-Dimethylformamide + Sodium Thiocyanate) Systems by Stephanie Lenhare, Beatriz Fernanda Bonfim de Souza, Fernanda Viana Miyasaki, André Zuber, Pedro Arce, Leandro Ferreira-Pinto, Stéphani Caroline Beneti, Lúcio Cardozo-Filho, Andréia Fátima Zanette

“…Furthermore, eNRTL and modified UNIFAC models were employed to correlate the experimental LLE data, achieving a root-mean-square deviation of less than 0.91%. The selectivity and distribution coefficients indicate a high efficiency of benzene distribution into the extract phase, suggesting a low solvent/feed ratio and fewer separation stages required for cyclohexane and benzene separation.…”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…Indeed, a hybrid model was developed combining CFD and ML for the first time to predict temperature distribution versus special coordinates in a photovoltaic thermal system. …”
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Optimized LSTM-based electric power consumption forecasting for dynamic electricity pricing in demand response scheme of smart grid by Balakumar Palaniyappan, Senthil Kumar Ramu

“…This strategy improves system dependability, attains a balanced demand-supply equilibrium, and delays the need for transmission and distribution system upgradation. …”
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Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction by Enio Pedone Bandarra Filho, Gleyzer Martins, Muhammad Bilal Riaz, Sardar Muhammad Bilal, Oscar Saul Hernandez Mendonza

“…The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. …”
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Simulation of emitter discharge along drip laterals under drip fertigation system using artificial neural network. by Oluwaseun Temitope Faloye, Smart Idumoro Samuel, Abiodun Afolabi Okunola, Viroon Kamchoom, Natdanai Sinsamutpadung, Oluwafemi Adeyeri

“…Simulation of emitter discharge under a drip fertigation system is important for capturing the variation in water and nutrient distribution to crops. …”
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