Scalable Detection of Underground Water Leaks in Dense Urban Environments Using L-Band SAR and Machine Learning by E. Ali, E. Ali, L. Xie, A. Sani-Mohammed, W. Xu, T. Zayed

“…A robust leak detection framework was developed using six dual-polarized SAR images (HH and VV modes) alongside historical leak data from the Hong Kong Water Supplies Department (WSD). Features extracted via Gray-Level Co-occurrence Matrix (GLCM) metrics and backscattering coefficients were used to train various machine learning, deep learning, and ensemble learning models, with hyperparameter optimization performed using a grid search algorithm. …”
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Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation by Bailin Tian, Fangyuan Wang, Pan Ran, Luhan Dai, Yang Lv, Yuxia Sun, Zhangyan Mu, Yamei Sun, Lingyu Tang, William A. Goddard, Mengning Ding

“…Abstract Electro-selective-oxidation using water as a green oxygen source demonstrates promising potential towards efficient and sustainable chemical upgrading. …”
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Wastewater treatment using cellulose nanofiber (CNF)-based green filters: A sustainable approach to water purification by M.M. Alam, Md. Johurul Islam, Sumsun Naher, Kenneth T V Grattan, S. Narjim, Claire Heffernan

“…The key purpose of the work has been the development of a CNF-based water filter, which was fabricated by using a mixture of locally-sourced kaolin (Bijoypur clay) and CNFs, in a 10:1 wt ratio. …”
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Effect of sodium doping in NiO/Vermiculite composite on photocatalytic hydrogen production from methanol-water decomposition by Bartosz Zawadzki, Marta Valaskova, Alexandr Martaus, Jiri Pavlovsky, Kamila Koci

“…Photocatalytic tests demonstrated that sodium doping enhances the stability and activity of the photocatalysts by reducing electron-hole recombination rates, with NaOH proving to be a more effective sodium source than NaNO3. Among the samples, those synthesized via capillary impregnation (NiO(OH)/Vm-C) and dry synthesis (NiO(OH)/Vm-M) showed the highest hydrogen yields (550 and 540 μmol/g cat., respectively) due to optimal crystallite size (∼22–23 nm) and defect-induced charge transfer efficiency. …”
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Simulation study of the influence of water equivalent ratio energy dependence of absorber materials on measurement of multilayer ionization chamber by GU Shuaizhe, CHEN Zhiling, LIN Ye, LIU Qi, BAI Haobo, ZOU Yuhang, LI Xiufang, LI Deming

“…BackgroundThe Multilayer Ionization Chamber (MLIC) is an instrument in rapidly measuring the proton depth dose distribution, which is crucial for enhancing the efficiency of beam commissioning and daily quality assurance in treatment rooms.PurposeThis study aims to investigate the impact of the Water Equivalent Ratio (WER) energy dependence of various absorber materials on MLIC measurements, thereby improving the accuracy of depth dose distribution measurements.MethodsBased on the fixed beam source parameters in the beam therapy room of Shanghai Advanced Proton Facility (SAPT), a physical model of MLIC was constructed using Monte-Carlo method. …”
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Fatty Acid Profile in Field-Collected Seaweed, Lipid Extraction Optimization, and Food Functional Properties by Nabeel Gnayem, Razan Unis, Rima Gnaim, Álvaro Israel, Jallal Gnaim, Alexander Golberg

“…Ethyl acetate at 60 °C was identified as the optimal food-grade solvent for lipid extraction. Functional properties varied significantly by species and processing conditions, with <i>Ulva compressa</i> exhibiting superior Water- and Oil-Holding Capacities and Swelling Capacity compared to <i>Cystoseira myrica</i>, highlighting its potential as a functional food ingredient. …”
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Investigation and optimization of ZnO nanostructures for enhanced slippery liquid-infused nanostructured surface performance by Witchaphol Somrang, Somyod Denchitcharoen

“…This effect was attributed to the acceleration of decomposition of the OH ^− ions source. The liquid-repellent property of the SLIPS was confirmed under both static and dynamic water droplet conditions. …”
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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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Optimization of Deep Eutectic Solvents Extraction Process of Polysaccharides from Morchella septimelata and Probiotics Proliferation by Longying PEI, Li YANG, Sidan WANG, Xudong ZHAO, Xiaoyu WANG, Heng XU, Heng ZHANG, Yuting ZHOU, Wei LIU

“…The results demonstrated that the optimal composition of DESs was choline chloride and citric acid (molar ratio 1:2), and that the optimal process for polysaccharide extraction was 44% water content, 62 ℃, 65 min and a 1:42 g/mL material-liquid ratio. …”
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BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics by Aojie Shen, Jie Shao, Xin Qi, Zhongzheng Zhu, Yujie Dai, Qi Zeng

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Multiparametric Study of Water–Gas Shift and Hydrogen Separation Performance in Membrane Reactors Fed with Biomass-Derived Syngas by Nadia Cerone, Luca Contuzzi, Giuseppe Domenico Zito, Carmine Florio, Laura Fabbiano, Francesco Zimbardi

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Leveraging Industrial Jarosite Waste for Arsenic(V) and Chromium(III) Adsorption from Water: A Preliminary Study by Montserrat Cruz-Hernández, Alondra García-Cerón, Ramón G. Salinas Maldonado, Irma A. Corro-Escorcia, Juan Hernández-Ávila, Eduardo Cerecedo-Sáenz, Javier Flores-Badillo, Norman Toro, Manuel Saldana, M. P. Gutiérrez-Amador, F. R. Barrientos-Hernández, Eleazar Salinas-Rodríguez

“…The global problem of water scarcity is exacerbated by the continued contamination of potable water sources. …”
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Artificial intelligence models for predicting the performance of proton exchange membrane water electrolyzers under steady and dynamic power by Thomas Waite, Alireza Sadeghi, Mohammad Yazdani-Asrami

“…Proton exchange membrane water electrolyzers (PEMWEs) are one of the leading technologies to produce hydrogen from renewable power sources. …”
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Water conservation strategies reduce greenhouse gas emission from wastewater treatment plants: A domino effect by Zixiang He, Rupeng Wang, Jifeng Wang, Honglin Chen, Shiyu Zhang, Ke Wang, Junjiang Lai, Nanqi Ren, Shih-Hsin Ho

“…Wastewater-treatment plants (WWTPs) enable urban water reclamation but are significant sources of greenhouse-gas (GHG) emissions. …”
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Optimization Design of Indoor Thermal Environment and Air Quality in Rural Residential Buildings in Northern China by Lei Yu, Xuening Han, Songyang Ju, Yuejiao Tao, Xiaolong Xu

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Corrosion Inhibition of Carbon Steel Immersed in Standardized Reconstituted Geothermal Water and Individually Treated with Four New Biosourced Oxazoline Molecules by Chahinez Helali, Stephanie Betelu, Romain Valentin, Sophie Thiebaud-Roux, Ioannis Ignatiadis

“…This was achieved using a previously established geochemical and electrochemical method to study the mechanisms and kinetics of the corrosion/scaling of carbon steel and optimize short-term corrosion inhibition in standardized reconstituted geothermal water (SRGW) representative of the DAPB’s waters. …”
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Study on the peak shaving operation of cascade hydropower stations based on the plant-wide optimal curve by Fengshuo Liu, Kui Huang, Xuanyu Shi, Longqing Zhao, Yangxin Yu, Xueshan Ai, Xiang Fu

“…This study proposes a novel method to enhance RES and hydropower utilization through: 1) Establishing a plant-wide optimal output-water level-outflow relationship curve based on the output-head-flow relationship and the flow-head loss and outflow-tailwater level relationship curves for each unit; 2) Developing a short-term peak shaving model for cascaded hydropower stations that incorporates wind and PV power which defines minimum coefficient of variation of residual load as objective functions, and improving discrete differential dynamic programming successive approximation (DDDPSA) method to solve it; 3) Analyzing the peak shaving capacity of the cascade hydropower station by varying water consumption for power generation. …”
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Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

“…This study introduces the design, modeling, and control mechanisms of a self-sufficient wind energy conversion system (WECS) that utilizes a Permanent magnet synchronous generator (PMSG) in conjunction with a Water pumping storage station (WPS). The system employs Optimal torque control (OTC) to maximize power extraction from the wind turbine, achieving a peak power coefficient (C p ) of 0.43. …”
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Granular activated carbon (GAC)-driven microbial electron shuttle boosts denitrification and mitigates N2O in cold and carbon-limited biofilm system by Xiangyu Yang, Mingchen Yao, Peng Li, Jan Peter van der Hoek, Lujing Zhang, Gang Liu

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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

“…Purpose: This study aimed to evaluate and optimize microbial DNA extraction methods from urine, a non-invasive sample source, to enhance DNA quality, purity, and reliability for urinary microbiome research and biomarker discovery in bladder cancer. …”
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