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Optimization of Irrigation Water Allocation Framework Based on Genetic Algorithm Approach

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Journal of Water Resource and Protection 2020年第4期12卷 316-329页

作者： Godwin Jiya Adama david Onemayin Jimoh Martins Yusuf Otache Department of Civil Engineering Federal University of Technology Minna Nigeria Department of Agricultural and Bio-Resources Engineering Federal University of Technology Minna Nigeria

In a world where excessive use and degradation of water resources are threatening the sustainability of livelihoods dependent on water and agriculture, increased food production will have to be done in the face of a changing climate and climate variability. There is a need to make optimal use of the available water resource to maximize productivity. Climate-smart irrigation is aimed at increasing per unit production and income from irrigated cropping systems without having negative impacts on the environment or other water users and uses. This paper developed a water allocation model using Genetic Algorithm to equitably allocation available water to the various sectors in Kano River Irrigation Scheme yielding an optimal as well as equitable water release with a 96.44% demand met. An average relative supply of 0.94 was obtained indicating the there was even supply of water to all the sectors. The model is robust and relatively easy to apply and can be employed by farm managers to achieve equity and optimal use of the available water resource.

关键词： Climate-Smart Agriculture Irrigation Water Allocation Sectors Relative Water Supply

Risk factors for cost-related medication non-adherence among older patients with diabetes

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World Journal of Diabetes 2014年第6期5卷 945-950页

作者： James X Zhang Jhee U Lee david O Meltzer Section of Hospital Medicine Department of Medicinethe University of ChicagoChicago Department of Economics the University of ChicagoChicago Harris School of Public Policy the University of ChicagoChicago

AIM: To assess the risk factors for cost-related medication non-adherence(CRN) among older patients with diabetes in the United States. METHODS: We used data from the 2010 Health and Retirement Study to assess risk factors for CRN including age, drug insurance coverage, nursing home residence, functional limitations, and frequency of hospitalization. CRN was self-reported. We conducted multivariate regression analysis to assess the effect of each risk factor. RESULTS: Eight hundred and seventy-five(18%) of 4880 diabetes patients reported CRN. Age less than 65 years, lack of drug insurance coverage, and frequent hospitalization significantly increased risk for CRN. Limitation in both activities of daily living and instrumental activities of daily living were also generally associated with increased risk of CRN. Residence in a nursing home and Medicaid coverage significantly reduced ***: These results suggest that expandingprescription coverage to uninsured, sicker, and community-dwelling individuals is likely to produce the largest decreases in CRN.

关键词： Cost Medication Non-adherence Risk factors

Exploring DFT+U parameter space with a Bayesian calibration assisted by Markov chain Monte Carlo sampling

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npj Computational Materials 2021年第1期7卷 1661-1669页

作者： Pedram Tavadze Reese Boucher Guillermo Avendaño-Franco Keenan X.Kocan Sobhit Singh Viviana Dovale-Farelo Wilfredo Ibarra-Hernández Matthew B.Johnson david S.Mebane Aldo H.Romero Department of Physics and Astronomy West Virginia UniversityMorgantownWVUSA Department of Mechanical and Aerospace Engineering West Virginia UniversityMorgantownWVUSA Department of Physics and Astronomy Rutgers UniversityPiscatawayNJUSA Facultad de Ingeniería Benemérita Universidad Autónoma de PueblaApdo.Postal J-39PueblaPue.72570México

The density-functional theory is widely used to predict the physical properties of ***,it usually fails for strongly correlated materials.A popular solution is to use the Hubbard correction to treat strongly correlated electronic ***,the values of the Hubbard U and J parameters are initially unknown,and they can vary from one material to *** this semi-empirical study,we explore the U and J parameter space of a group of iron-based compounds to simultaneously improve the prediction of physical properties(volume,magnetic moment,and bandgap).We used a Bayesian calibration assisted by Markov chain Monte Carlo sampling for three different exchange-correlation functionals(LDA,PBE,and PBEsol).We found that LDA requires the largest U *** has the smallest standard deviation and its U and J parameters are the most transferable to other iron-based ***,PBE predicts lattice parameters reasonably well without the Hubbard correction.

关键词： materials Hubbard parameter

Quantifying the Accuracy of LiDAR-Derived DEM in Deciduous Eastern Forests of the Cumberland Plateau

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Journal of Geographic Information System 2017年第3期9卷 339-353页

作者： Marco A. Contreras Wesley Staats Jian Yiang david Parrott Associate Professor of Forest Management Department of Forestry College of Agriculture Food and Environment University of Kentucky Lexington Kentucky USA Research Assistant Department of Forestry College of Agriculture Food and Environment University of Kentucky Lexington Kentucky USA Assistant Professor of Landscape Ecology Department of Forestry College of Agriculture Food and Environment University of Kentucky Lexington Kentucky USA

Digital elevation models (DEMs) derived from light detection and ranging (LiDAR) technology are becoming the standard in representing terrain surfaces. They have numerous applications in forestry, agriculture, and natural resources. Although elevation errors are much lower than those derived from traditional methods, accuracies have been reported to decrease with terrain slope and vegetation cover. In this study, we quantified the accuracy of airborne LiDAR-derived DEM in deciduous eastern forests of the Cumberland Plateau. We measured relative elevation changes within field plots located across different slope and ruggedness classes to quantify DEM accuracy. We compared elevation change errors of DEMs derived from three LiDAR datasets: a low-density (~1.5 pts•m−2), a high-density (~40 pts•m−2), and a combined dataset. We also compared DEMs obtained by interpolating the ground points using four interpolation methods. Results indicate that mean elevation change error (MECE) increased with terrain slope and ruggedness with an average of 73.6 cm. MECE values ranged from 23.2 cm in areas with lowest slope (0% - 39%) and ruggedness (0% - 28%) classes to 145.5 cm in areas with highest slope (50% - 103%) and ruggedness (46% - 103%) classes. We found no significant differences among interpolation methods or LiDAR datasets;the latter of which indicates that similar accuracy levels can be achieved with the low-density datasets.

关键词： Elevation Change Error Terrain Relief Ruggedness and Slope Remote Sensing

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William ***,1946-2012(Ⅰ)

数学译林 2019年第2期38卷 137-145页

作者： david Gabai Steve Kerckhoff 杜晓明(译) 苏阳(校) 普林斯顿大学斯坦福大学不详

William ***于2012年8月21日去世,享年65岁.本文是他的讣告的第2部分.第1部分刊登在2015年12月的《美国数学会通讯(Notices of the AMS)》上.1)Yair Minsky.

关键词： William AMS

LIF Measurement of the Diluting Effect of Surface Waves on Turbulent Buoyant Plumes

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Journal of Flow Control, Measurement & Visualization 2014年第3期2卷 77-93页

作者： david B. Sharp Alistair Shawcross Clive A. Greated Department of Engineering and Innovation Open University Milton Keynes UK School of Physics and Astronomy University of Edinburgh Edinburgh UK

In this paper, the diluting effect of surface waves on a buoyant plume has been measured using a Laser Induced Fluorescence (LIF) technique. The resulting time-averaged, full field concentration maps have allowed quan... 详细信息

关键词： Buoyant Plumes Surface Waves Laser Induced Fluorescence Multi-Port Diffuser Outfall Pipe

High-throughput calculations of charged point defect properties with semi-local density functional theory— performance benchmarks for materials screening applications

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npj Computational Materials 2023年第1期9卷 1628-1639页

作者： Danny Broberg Kyle Bystrom Shivani Srivastava Diana Dahliah Benjamin A.D.Williamson Leigh Weston david O.Scanlon Gian-Marco Rignanese Shyam Dwaraknath Joel Varley Kristin A.Persson Mark Asta Geoffroy Hautier Materials Sciences Division Lawrence Berkeley National Laboratory1 Cyclotron RoadBerkeleyCA 94720USA Department of Materials Science and Engineering University of CaliforniaBerkeleyCA 94720USA John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMA 02138USA Department of Physics An-Najah National UniversityNablusPalestine Institute of Condensed Matter and Nanosciences UniversitéCatholique de LouvainChemin desÉtoiles 8B-1348 Louvain-la-NeuveBelgium Department of Materials Science and Engineering NTNU Norwegian University of Science and TechnologyTrondheimNorway Energy Technologies Area Lawrence Berkeley National Laboratory1 Cyclotron RoadBerkeleyCA 94720USA Department of Chemistry University College London20 Gordon StreetLondon WC1H 0AJUK Thomas Young Centre University College LondonGower StreetLondon WC1E 6BTUK Diamond Light Source Ltd. Diamond HouseHarwell Science and Innovation CampusDidcotOxfordshire OX110DEUK Lawrence Livermore National Laboratory LivermoreCA 94550USA Molecular Foundry Lawrence Berkeley National Laboratory1 Cyclotron RoadBerkeleyCA 94720USA Thayer School of Engineering Dartmouth CollegeHanoverNH 03755USA

Calculations of point defect energetics with Density Functional Theory(DFT)can provide valuable insight into several optoelectronic,thermodynamic,and kinetic *** calculations commonly use methods ranging from semi-local functionals with a-posteriori corrections to more computationally intensive hybrid functional *** applications of DFT-based high-throughput computation for data-driven materials discovery,point defect properties are of interest,yet are currently excluded from available materials *** work presents a benchmark analysis of automated,semi-local point defect calculations with a-posteriori corrections,compared to 245“gold standard”hybrid calculations previously *** consider three different a-posteriori correction sets implemented in an automated workflow,and evaluate the qualitative and quantitative differences among four different categories of defect information:thermodynamic transition levels,formation energies,Fermi levels,and dopability *** highlight qualitative information that can be extracted from high-throughput calculations based on semi-local DFT methods,while also demonstrating the limits of quantitative accuracy.

关键词： properties defect correction

Low cholesterol biosynthesis favors epithelial-to-mesenchymal transition maintenance and influences tumor molecular subtyping and disease-free survival in colon cancer patients

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Cancer Communications 2022年第8期42卷 793-797页

作者： Anaïs Aulas Maria Lucia Liberatoscioli Pascal Finetti Olivier Cabaud david JBirnbaum Lucas Usclade Daniel Birnbaum François Bertucci Emilie Mamessier Predictive Oncology Laboratory Cancer Research Center of MarseilleInstitut Paoli-Calmettes“Ligue contre le cancer”labelAix-Marseille UniversityMarseille 13009France Department of Digestive Surgery Hospital NordChemin des BourrelyAix-Marseille UniversityMarseille 13015France Department of Medical Oncology Institut Paoli-CalmettesAix-Marseille UniversityMarseille 13009France

Dear Editor,To metastasize,epithelial cancer cells undergo an epithelial-to-mesenchymal transition(EMT)during migration,whereupon they activate a mesenchymal-toepithelial transition(MET)when colonizing the new niche[1].Targeting EMT or MET inducers might thus impair the metastatic process[2,3].However,the identification of genes involved in epithelium-mesenchyme switches(EMS)is difficult in complex samples such as human *** overcome this problem,we used spheroids of a colorectal cancer(CRC)cell line,HT29,to mimic EMS in a controlled environment.

关键词： cancer colon epithelium

Hazard Model Reliability Analysis Based on a Wind Generator Condition Monitoring System

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Journal of Energy and Power Engineering 2014年第7期8卷 1309-1322页

作者： Khaled Abdusamad david Wenzhong Gao Xiaodong Liang Jun Zhang Department of Mechanical and Materials Engineering The University of Denver Denver CO 80208 USA Department of Electrical and Computer Engineering The University of Denver Denver CO 80208 USA School of Engineering and Computer Science Washington State University Vancouver Vancouver WA 98686 USA

This paper presents an application of the hazard model reliability analysis on wind generators, based on a condition monitoring system. The hazard model techniques are most widely used in the statistical analysis of the electric machine＇s lifetime data. The model can be utilized to perform appropriate maintenance decision-making based on the evaluation of the mean time to failures that occur on the wind generators due to high temperatures. The knowledge of the condition monitoring system is used to estimate the hazard failure, and survival rates, which allows the preventive maintenance approach to be performed accurately. A case study is presented to demonstrate the adequacy of the proposed method based on the condition monitoring data for two wind turbines. Such data are representative in the generator temperatures with respect to the expended operating hours of the selected wind turbines. In this context, the influence of the generator temperatures on the lifetime of the generators can be determined. The results of the study can be used to develop the predetermined maintenance program, which significantly reduces the maintenance and operation costs.

关键词： Hazard model failure rate survival rate mean time to failure weibull distribution generator age generator temperature.