Optimal Allocation of Water Resources Based on GWAS Model in Handan,China by LIU Guanghui, SUN Jianwei, LUO Yun, ZHAO Xian, REN Shuai, LIU Ruiting, WANG Jixuan

“…In recent years,the inflow of upstream rivers in Handan City has decreased,and the total amount of groundwater exploitation has become more limited,which fails to meet the rising water demand of different industries.In addition,due to the replacement of water supply sources for some industries after the construction of the South-to-North Water Diversion Project,the Yellow River Diversion Project,and the Yinwei River Water Diversion Project,the shortage and the contradiction between supply and demand of water resources in Handan City are becoming acute and complex.By analyzing the characteristics of water resources and the distribution characteristics of water conservancy projects in Handan City,the water supply and demand of each district and county in Handan City are predicted,and a multi-source,multi-user,and multi-objective optimal allocation model of water resources in Handan City is constructed based on GWAS.The results show that the total water demand in Handan City with a guarantee rate of P=50% in 2025 is 3 013.01×10⁶ m³;the total water allocation is 2 473.97×10⁶ m³,and the water shortage rate is 17.89%.The total water demand with a guarantee rate of P=75% is 3 434.90×10⁶ m³;the total water distribution is 2 498.22×10⁶ m³,and the water shortage rate is 27.27%.The water shortage is mainly concentrated in the primary industry.The allocation results are in line with the actual water consumption situation in Handan City,and the research results can provide a technical reference for water resources management in Handan City.…”
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Underwater DVL Optimization Network (UDON): A Learning-Based DVL Velocity Optimizing Method for Underwater Navigation by Feihu Zhang, Shaoping Zhao, Lu Li, Chun Cao

“…The research results show that the DVL vector predicted by our model can achieve a maximum improvement of 69.26% in terms of root mean square error and a maximum improvement of 78.62% in terms of relative trajectory error.…”
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Lead and Chromium Immobilization Process Subjected to Different Freeze-Thaw Treatments in Soils of the Northeastern Qinghai-Tibet Plateau by Leiming Li, Jun Wu

“…Hence, these findings provided useful information on Pb and Cr immobilization process in soils that underwent freeze-thaw cycles to offer an additional insight into predicting Pb and Cr behaviors in cold and freezing environments.…”
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Study on Anisotropic Petrophysical Modeling of Shale: A Case Study of Shale Oil in Qingshankou Formation in Sanzhao Sag, Songliao Basin, China by Ang Li, Liyan Zhang, Jianguo Yang, Shichao Li, Fei Xiao, Yulai Yao, Yiming Huang, Bo Liu, Longsheng Li

“…The application shows that the predicted S-wave velocity based on the proposed model is in good agreement with the S-wave velocity derived from dipole source logging. …”
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Research on the Impact of Coastal Land Reclamation on Geomorphic Complexity and Tidal Energy Dissipation—A Case Study of Zhoushan Islands, Hangzhou Bay by Shixia Zhang, Qiankun Hong, Huifang Guo

“…This relationship is crucial for predicting potential tidal energy loss responses to large‐scale changes in geomorphologic features caused by accelerating coastal land reclamation. …”
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Prevalence of mental health conditions in post-conflict Kasai Province, Democratic Republic of the Congo: A repeated, cross-sectional study. by Maaike L Seekles, Jacob K Kadima, Pierre O L Omumbu, Junior K Kukola, Joy J Kim, Christian B Bulambo, Raphael M Mulamba, Motto Nganda, Laura Dean

“…Multivariable linear regression analysis showed that depression and anxiety were both predicted by being female, being of older age, and by experiencing lower physical quality of life, but not by the passing of time. …”
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The impact of brain-systemic oxygenation coupling in sleep-disordered breathing on cognitive function in elderly by Makoto Kawai, S. M. Hadi Hosseini, Casey Buck, Rosy Karna, Kai Ayinde Parker-Fong, Pahnwat Tonya Taweesedt

“…We quantified the average coherence between oxy-Hb and SpO2 signals during SDB events to determine whether it could predict cognitive outcomes in healthy older adults, where higher coherence indicates reduced protection against systemic hypoxia. …”
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Circulating Galectin-3 and Atrial Fibrillation Recurrence after Catheter Ablation: A Meta-Analysis by Guangping Zhang, Yongquan Wu

“…However, there was a significant publication bias for predicting efficacy of associating preprocedural Gal-3 levels with AF recurrence. …”
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Modified Weights-of-Evidence Modeling with Example of Missing Geochemical Data by Daojun Zhang, Frits Agterberg

“…Ideally, WofE indicator patterns have the property of conditional independence (CI) with respect to the point pattern of mineral deposits to be predicted; in LR, there supposedly are no interactions between the point pattern and two or more of the indicator patterns. …”
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Estimating Satellite Orbital Drag During Historical Magnetic Superstorms by Denny M. Oliveira, Eftyhia Zesta, Hisashi Hayakawa, Ankush Bhaskar

“…Particularly in the thermosphere, the subsequent extreme magnetic storms can pose serious threats to low Earth orbit (LEO) spacecraft by intensifying errors in orbit predictions. Extreme magnetic storms (minimum Dst ≤ −250 nT) are extremely rare: Only seven events occurred during the era of spacecraft with high‐level accelerometers such as CHAMP (CHAllenge Minisatellite Payload) and GRACE (Gravity Recovery And Climate experiment) and none with minimum Dst ≤ −500 nT, here termed magnetic superstorms. …”
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Ecological momentary interventions for mental health: A scoping review. by Andreas Balaskas, Stephen M Schueller, Anna L Cox, Gavin Doherty

“…Twenty two studies employed sensors for the collection of data in order to provide just-in-time support or predict psychological states.<h4>Conclusions</h4>With the shift towards smartphone apps, the vision for EMIs has begun to be realised. …”
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Current Perspectives in Detection of Bioactive Compounds From Costus spicatus Through GC–MS and LC-MS/MS: Antioxidant Properties and In Silico Analysis for Industrial Applications... by Dharmar Manimaran, Ararsa Tessema, M. Govindarajulu Yadav, S. Parthasarathi, Vasan Palanisamy

“…In this study, we performed molecular docking and found that four compounds exhibited promising binding affinities with predicted binding sites on alpha-synuclein. Notably, Androsta [17-16-b] furan-5′-imine, 4′-methylene-3-methoxy-N-cyclohexyl- showed the highest docking interaction score of −7.4, indicating a strong binding affinity. …”
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Lactate to albumin ratio has limited prognostic value for complications in children under five with burn injuries by Vania Cadarso-Saez, Camila Ramirez-Zavala, Miguel A. Pérez-Pino, Carlos J. Toro-Huamanchumo

“…The area under the curve (AUC) was utilized to evaluate the prognostic performance of the LAR in predicting complications. A cohort of 258 patients aged ≤ 5 years with second- and/or third-degree burn injuries was examined. …”
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The Hidden Economic Consequences of Migraine to the UK Government: Burden-of-Disease Analysis Using a Fiscal Framework by Rui Martins, Samuel Large, Rachel Russell, Gary Surmay, Mark P. Connolly

“…Annually, migraine was estimated to represent £12.20 billion to the public economy, approximately £130.63 per migraine episode. The model predicted annual productivity losses in the health and social care workforce to be £2.05 billion and total annual productivity losses to be over £5.81 billion. …”
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Survival and Prognostic Factors in Patients with Hepatocellular Carcinoma Treated by Percutaneous Ethanol Injection: A 10-Year Experience by Roberto Mazzanti, Umberto Arena, Pietro Pantaleo, Lorenzo Antonuzzo, Greta Cipriani, Bruno Neri, Clara Giordano, Fabio Lanini, Serena Marchetti, Paolo Gentilini

“…The Child-Pugh and Cancer of the Liver Italian Program scores were effective in predicting prognosis of these patients. In conclusion, PEI still represents a safe and economically sound treatment for HCC.…”
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Landslide hazard assessment of an urban agglomeration in central Guizhou Province based on an information value method and SVM, bagging, DNN algorithm by Junhua Luo, Zulun Zhao, Wei Li, Liang Huang, Weiquan Zhao

“…The statistical analysis model was combined with a variety of machine learning models, and the selection of negative sample points was restricted in various ways to improve training data accuracy and enable machine learning model predictions with sufficiently supervised prerequisites. …”
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Reactions of Hydrogen-Passivated Silicon Vacancies in <i>α</i>-Quartz with Electron Holes and Hydrogen by Teofilo Cobos Freire, Jack Strand, Alexander L. Shluger

“…Our calculations of the hydrogen migration mechanisms predict the low energy barriers for H⁺, H⁰, and H⁻, with the lowest barrier of 0.28 eV for neutral hydrogen migration between parallel c-channels and a similar barrier for H⁺ migration along the c-channels. …”
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Reverse design of broadband sound absorption structure based on deep learning method by Yihong Zhou, Lifeng Ma, Xi Kang, Zhiyuan Zhu

“…The forward network predicts the sound absorption coefficient curve, while the reverse network enables the on-demand design of structural parameters for broadband high sound absorption. …”
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FORECASTING METHODS DETERMINATION OF RAW MATERIAL REQUIREMENTS FOR SHEEP CABRETTA AND BATTING LEATHER AT PT ADI SATRIA ABADI by Khairun Nadiyah, Grita Supriyanto Dewi

“…Therefore, the method used to predict the need for raw materials is Single Exponential Smoothing with 0.1 to 0.9. …”
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A Novel Hybrid Model for Credit Risk Assessment of Supply Chain Finance Based on Topological Data Analysis and Graph Neural Network by Kosar Farajpour Mojdehi, Babak Amiri, Amirali Haddadi

“…The SHapley Additive exPlanations (SHAP) model highlights the pivotal role of certain features in predicting bankruptcy, offering valuable insights for risk mitigation strategies. …”
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