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土壤斥水性对含水率的响应模型研究

农业机械学报 2012年第1期43卷 63-67,82页

作者：陈俊英吴普特张智韬 gideon oron 汪志农西北农林科技大学水利与建筑工程学院陕西杨凌712100 中国科学院水利部水土保持研究所陕西杨凌712100 本古里安大学Blaustein沙漠研究所

选用以色列3类不同质地的10种不同斥水性的土壤为研究对象,采用滴水穿透时间法测定土壤斥水性对含水率的响应关系,得到了不同土壤斥水持续时间随含水率变化的规律,通过Gaussian模型、Lorentzian模型和Lognormal模型对这种规律进行回归分... 详细信息

选用以色列3类不同质地的10种不同斥水性的土壤为研究对象,采用滴水穿透时间法测定土壤斥水性对含水率的响应关系,得到了不同土壤斥水持续时间随含水率变化的规律,通过Gaussian模型、Lorentzian模型和Lognormal模型对这种规律进行回归分析,最终得出了土壤斥水持续时间随含水率的变化规律符合Lorentzian模型。由此响应模型,就可以根据某种土壤部分斥水性对含水率响应的实测数据,计算出土壤斥水性的峰值含水率、峰值斥水性以及临界含水率,为不同土壤斥水性进行对比和土壤改良提供理论依据。

关键词：土壤斥水性土壤含水率响应模型回归

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土壤斥水性与有机质质量分数的变化关系研究

灌溉排水学报 2012年第3期31卷 96-98,118页

作者：陈俊英吴普特张智韬 gideon oron 汪志农武汉大学水资源与水电工程科学国家重点实验室武汉430072 西北农林科技大学水利与建筑工程学院陕西杨凌712100 中国科学院/水利部水土保持研究所陕西杨凌712100 本古里安大学Blaustein沙漠研究所以色列思德博克84990

土壤有机质质量分数是影响土壤斥水性的最主要因素之一,为研究二者之间的关系,选用以色列3类不同质地斥水性土壤为对象,分别在田间和实验室测定土壤斥水性和有机质质量分数,并绘制土壤斥水性和有机质质量分数的等值线图和关系图。结果表... 详细信息

土壤有机质质量分数是影响土壤斥水性的最主要因素之一,为研究二者之间的关系,选用以色列3类不同质地斥水性土壤为对象,分别在田间和实验室测定土壤斥水性和有机质质量分数,并绘制土壤斥水性和有机质质量分数的等值线图和关系图。结果表明,对于粘性土壤和沙质土壤,土壤斥水性随有机质质量分数成幂指数关系,但对于壤土,二者之间没有非常明显的线性关系。研究结果可为分析不同土壤的斥水性影响因素和土壤改良提供理论依据。

关键词：土壤斥水性有机质质量分数变化关系土壤含水率

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微集水区雨水回收的经济效益评价

水土保持应用技术 1986年第4期 20-24页

作者： THEO M.BOERS ,gideon oron ,张汉雄

微集水区是用于单株树集水单元的一个数百平方米的限定区,它由分布区和树生长的入渗区组成(图1).径流汇入入渗

关键词：径流效率插入物干旱区分布区回收水收入自然区财政管理年雨量年降雨量微集水经济效益

润湿灌溉条件下不同施氮水平对黄瓜苗期生长的影响

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山地农业生物学报 2010年第3期29卷 215-219页

作者：马娜李伟严俊王方 gideon oron 程剑平贵州大学农学院贵州贵阳550025 海法大学进化研究所以色列海法31905 本.古里安大学国际沙漠研究所以色列思德博克84990

设置6个施氮水平,对比研究润湿灌溉技术和传统灌溉技术对黄瓜幼苗生长的影响。结果表明:润湿灌溉技术能显著提高黄瓜幼苗对氮肥的利用效率。在第0、2、4、8、12、18、24 d时,通过测定黄瓜幼苗的株高等生长指标,发现采用润湿灌溉技术栽... 详细信息

设置6个施氮水平,对比研究润湿灌溉技术和传统灌溉技术对黄瓜幼苗生长的影响。结果表明:润湿灌溉技术能显著提高黄瓜幼苗对氮肥的利用效率。在第0、2、4、8、12、18、24 d时,通过测定黄瓜幼苗的株高等生长指标,发现采用润湿灌溉技术栽培的黄瓜,其幼苗株高在6个施氮水平上均明显高于传统灌溉栽培方式。在第24 d施氮水平为220 mg/L的润湿灌溉条件下,黄瓜幼苗的株高为传统灌溉栽培方式的1.92倍,而要出现同样的生长状况,用传统灌溉栽培方式则需280 mg/L的氮素供应水平。

关键词：润湿灌溉施氮水平黄瓜生长

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不同污染程度的水对土壤斥水性的影响

节水灌溉 2009年第10期 13-16,19页

作者：陈俊英张智韬 Leionid Gillerman gideon oron 汪志农西北农林科技大学水利与建筑工程学院陕西杨凌712100 本古里安大学Blaustein沙漠研究所以色列思德博克84990

污水在农业灌溉中的回用是一种有效的节水途径,但长期应用会导致土壤斥水性的提高。本研究以以色列西南部Berry的原状土壤为例,研究了8种不同污染程度的灌溉用水对土壤斥水性的影响,并用统计分析方法从多个水质参数中找出主要的影响因... 详细信息

污水在农业灌溉中的回用是一种有效的节水途径,但长期应用会导致土壤斥水性的提高。本研究以以色列西南部Berry的原状土壤为例,研究了8种不同污染程度的灌溉用水对土壤斥水性的影响,并用统计分析方法从多个水质参数中找出主要的影响因素。结果表明,土壤斥水性与综合水质指标F值具有很高的相关性,相关系数为0.957,呈极显著正相关;多元回归分析发现,水质中有机质含量指标化学需氧量(COD)是影响土壤斥水性的最主要因素,其次是浑浊度(Turbidity),它们与土壤斥水性建立的多元回归方程的相关系数达0.997。仅用化学需氧量(COD)与土壤斥水性建立关系,相关系数为0.877。这为进一步研究土壤斥水性和节水灌溉提供理论依据。

关键词：土壤斥水性污水灌溉主成分分析多元回归水质指标

用于自由回用和供农业生产的二级污水的两个阶段的膜处理

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水处理信息报导 2007年第3期 35-35页

作者： oron,gideon Ben-Gurion University of The Negev Israel

二级废水升级自由用于灌溉和满足农业生产的现场试验正在进行。二级污水精处理的一体化处理系统通过两个主要的处理阶段完成：超滤（UF）和反渗透（RO）膜处理。中试系统的处理能力约为8m^3／11。UF出水供给RO膜阶段。UF和RO透过液不同... 详细信息

二级废水升级自由用于灌溉和满足农业生产的现场试验正在进行。二级污水精处理的一体化处理系统通过两个主要的处理阶段完成：超滤（UF）和反渗透（RO）膜处理。中试系统的处理能力约为8m^3／11。UF出水供给RO膜阶段。UF和RO透过液不同的混合液随后用于各种农作物的滴灌。现场结果说明UF在有机物去除中的重要性，但病原体仍旧存在于二级污水中（二级污水来自废水稳定池处理系统）。在特殊条件的下，当溶解固体含量比较低时，

关键词：二级污水农业生产膜处理自由回用一体化处理有机物去除现场试验

Using AI and Precision Nutrition to Support Brain Health during Aging

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Advances in Aging Research 2024年第5期13卷 85-106页

作者： Sabira Arefin gideon Kipkoech Global Healthcare Leadership Program Harvard University Boston USA Independent Researcher University of Embu Nairobi Kenya

Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they le

关键词： Artificial Intelligence (AI) Precision Nutrition Brain Health Aging Research Gerontology Cognitive Functions Temporal Reasoning Medication Adherence Electronic Health Records (EHRs) Machine Learning (ML) Healthcare Technology

Propane dehydro-aromatization reaction over PtFe@S-1 coupling with Zn/ZSM-5 tandem catalysts: the role of Zn species

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Frontiers of Chemical Science and Engineering 2024年第8期18卷 25-35页

作者： Kai Bian Sirui Liu Huahua Fan Guanghui Zhang Xinwei Zhang gideon Abaidoo Ocran Mingrui Wang Quanjie Liu Xiaowa Nie Shuandi Hou Xinwen Guo Sinopec Dalian Research Institute of Petroleum and Petrochemicals Dalian 116045China State Key Laboratory of Fine Chemicals Frontier Science Center for Smart MaterialsPSU-DUT Joint Center for Energy ResearchSchool of Chemical EngineeringDalian University of TechnologyDalian 116024China

Unraveling the structure-activity relationship and improving the catalytic performance is paramount in propane dehydro-aromatization reactions. Herein, a tandem catalyst with high propane dehydro-aromatization reaction performance was prepared via coupling the PtFe@S-1 with Zn/ZSM-5 zeolites (PtFe@S-1&1.0Zn/ZSM-5), which exhibits high dehydrogenation activity, aromatics selectivity (~60% at ~78% propane conversion), and stability. The addition of zinc inhibits the cleavage of C_(6)^(=) intermediates on ZSM-5 and promotes the aromatization pathway by weakening zeolite acid strength, significantly improving the selectivity to aromatics. This understanding of the structure-activity relationship in propane dehydro-aromatization reaction helps develop future high-performance catalysts.

关键词： propane dehydro-aromatization reaction tandem catalysts the structure-activity relationship of zinc species

Socio-Demographic and Economic Factors Associated with Uptake of COVID-19 Vaccine among Pregnant Women at Pumwani Maternity Hospital in Nairobi County, Kenya

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Open Journal of Epidemiology 2024年第2期14卷 221-237页

作者： Nyawela S. Nyibil gideon Kikuvi Isabel Kazanga Chiumia Jomo Kenyatta University of Agriculture and Technology School of Public Health Department of Environmental Health and Disease Control Nairobi Kenya Department of Health Systems and Policy Kamuzu University of Health Sciences Lilongwe The Republic of Malawi

Introduction: Pregnant women are a highly vulnerable population for COVID-19 with increased risk of hospitalization, intensive-care unit admission, invasive ventilation support, and mortality. Objective: This study determined the socio-demographic and economic factors associated with the uptake of COVID-19 vaccine among pregnant women utilizing antenatal care services in Pumwani Maternity Hospital, Nairobi County-Kenya. Methods: The study was carried out from 15 June to 23 July 2023. Systematic sampling was used to select 302 women from whom data was collected through face-to-face interviews using a pre-tested semi-structured questionnaire. Data was analyzed using SPSS software in which bivariate and multivariate logistic regression analyses were done at a significance level of p Results: A total of 302 pregnant women participated in the study. Of these, 105 (34.8%) were aged between twenty-six (26) and thirty (30) years. The mean age of the women was 28.60 ± (SD = 5.297). The uptake of the COVID-19 vaccine was 41.1%. The common side effects reported to be associated with the vaccines were fever, headache, joint pain, vomiting and skin rash. Uptake of the COVID-19 vaccine was significantly associated with being married (AOR = 3.65, 95% CI: 0.62 - 1.80, p = 0.001), having a secondary level of education (AOR = 3.78, 95% CI: 0.99 - 2.88, p = 0.001) and being employed (COR = 2.66, 95% CI: 1.31 - 3.06, p = 0.001). Conclusion: COVID-19 vaccination uptake remains low among pregnant women in seeking ANC in Nairobi. The individual factors associated with the uptake of COVID-19 vaccine among pregnant Women at Pumwani maternity hospital in Nairobi County were being married, having secondary level of education and being employed. Integration of the COVID-19 vaccine with other routine vaccinations as per the national immunization program in Kenya and the enhancement of education regarding the safety and efficacy of the COVID-19 vaccine in pregnancy and breastfeeding and economic

关键词： COVID-19 Vaccine Uptake Associated Factors Pregnant Women