COMPACTLY SUPPORTED NON-TENSOR PRODUCT FORM TWO-DIMENSION WAVELET FINITE ELEMENT

Some theorems of compactly supported non-tensor product form two-dimension Daubechies wavelet were analysed carefully. Compactly supported non-tensor product form two-dimension wavelet was constructed, then non-tensor product form two dimension wavelet finite element was used to solve the deflection problem of elastic thin plate. The error order was researched. A numerical example was given at last.

Routine Supportive Supervision and Management of Medicines and Other Health Products and Technologies in Vihiga County, Kenya

Health Products and Technologies (HPTs) are pivotal for an efficient health system. Availability and accessibility to affordable health products are critical indicators towards achieving universal health coverage. Routine supportive supervision, performance monitoring, recognition of efforts and client feedback are vital activities toward health supply chain system strengthening. This is a descriptive paper that describes a model of integrated commodity supportive supervision, and mentorship and its impact on various outcomes of health commodity management. Data were abstracted from the standardized scored checklists used during integrated commodity supportive supervision and supply chain audit in public health facilities in Vihiga County. Scores for the period 2020 to 2022 were analyzed on the eight key areas of interest. The analysis was done using Statistical Package for Social Sciences (SPSS version 26). Results are interpreted at 95% Confidence interval. This paper also shares findings from both quantitative and qualitative data from client exit and facility managers’ interviews. Six complete rounds of supervisions, three clients and service providers’ interviews, and three annual award events have been conducted. We observed trends across six data collections points and compared the results at first point or baseline (January-June 2020) to the results at the last point or end line (April-June 2022). Findings show significant improvements on the eight parameters in terms of mean scores as follows: resolution of issues from previous visits by 35.06% (46.75% - 81.81%);storage of HPTs by 17.41% (68.72% - 86.13%);inventory management by 28.16% (42.67% - 70.83%);availability and use of commodity data management information systems (MIS) tools by 22.39% (74.40% - 96.79%);verification of commodity data by 25.61% (65.56% - 91.17%);availability of guidelines and job aids for commodity management by 46.28% (36.65% - 82.93%). There was an improvement on the mean score on accountability by 20.22% (58.58% - 83.51%). The composite (final) score improved by 28.33% (56.19% - 84.52%). There was progressive narrowing of the standard deviations on all the indicators across the study period. This demonstrates that there is standardization of practices and positive competition among all the public health facilities. There were significant improvements on all the eight indicators. Routine integrated commodity supportive supervision has proven to be an effective high impact intervention in improving management of health products and technologies in Vihiga County, Kenya.

Online Fashion Retailer Bonobos Selects Gerber Technology's YuniquePLM^(TM) Industry-Tailored Software to Support Rapid Growth and Fast-Paced Product Innovation

Tolland,Connecticut,USA-Gerber Technology,a business unit of Gerber Scientific, Inc.(NYSE:GRB) and a world leader in automated CAD/CAM and PLM solutions for the apparel and flexible materials industry,announces that fast-growing internet retailer Bonobos,Inc. has selected the YuniquePLM product

NiO-CaO materials as promising catalysts for hydrogen production through carbon dioxide capture and subsequent dry methane reforming

In this work, CaO-NiO mixed oxide powders were evaluated as consecutive CO;chemisorbents and catalytic materials for hydrogen production thought the CH;reforming process. Between the NiO impregnated CaO and CaO-NiO mechanical composite, the first one presented better chemical behaviors during the CO;capture and CH;reforming processes, obtaining syngas（H;+ CO） as final product. Results showed that syngas was produced at two different temperature ranges, between 400 and 600 °C and at T > 800 °C, where the first temperature range corresponds to the CH;reforming process but the second temperature range was attributed to a different catalytic reaction process: CH;partial oxidation. These results were confirmed through different isothermal and cyclic experiments as well as by XRD analysis of the final catalytic products, where the nickel reduction was evidenced. Moreover, when a CO-O;flow was used during the carbonation process a triple process was achieved:（i） CO oxidation,（ii） CO;chemisorption and（iii） CH;reforming. Using this gas flow the hydrogen production was always higher than that obtained with CO;.

China’s Agricultural Support Capacity and Dependence on Foreign Resources

To more accurately answer the questions “who will feed China?” and “whether Chinese people can feed themselves?”, we proposed a concept of agricultural support capacity, defined as the population that can be fed by energy, protein and fat from food, respectively, according to nutritional intake standards. In this study, we established models to measure this, based on analysis of China’s agricultural support capacity and how this changes under self-sufficiency and open conditions, in addition to the degrees of external dependence. Our results show that, since 2007, even without foreign resources, the energy, protein, superior protein and fat obtained from domestic agriculture had been able to feed the Chinese. However, the use of foreign resources increased and strengthened China’s agricultural support capacity, in addition to improving food diversity, optimizing nutrition, assisting in the regulation of food surplus and deficiency, and providing feed for the animal breeding industry. For the past decade, China’s degree of external dependence on energy from cereals has been relatively low, however, the degrees external dependence on superior protein and fat has increased steadily at a certain rate and have been over the national food security warning level. Therefore, China still has great demand for agricultural products from other regions of the world.

Science Letters:Culture of Spirulina platensis in human urine for biomass production and O_2 evolution

Attempts were made to culture Spirulina platensis in human urine directly to achieve biomass production and O2 evolution, for potential application to nutrient regeneration and air revitalization in life support system. The culture results showed that Spirulinaplatensis grows successfully in diluted human urine, and yields maximal biomass at urine dilution ratios of 140-240. Accumulation of lipid and decreasing of protein occurred due to N deficiency. O2 release rate of Spirulina platensis in diluted human urine was higher than that in Zarrouk medium.

土壤废弃农膜综合治理考核体系建设与实践——以新疆生产建设兵团为例

为科学治理土壤废弃农膜,检验废弃农膜综合治理成效,构建了一套完备的新疆生产建设兵团(以下简称兵团)土壤废弃农膜治理考核体系,制定了各师年度考核目标任务,提出了土壤废弃农膜考核抽测全流程方法,形成了包括组织结构、财政补贴、回收利用、督促检查、受理举报、执法及宣传在内的考核评价指南,建立了包含基础支撑层、数据层、应用层和用户层4个方面的全流程信息化管理系统。实践结果表明:兵团土壤废弃农膜残留量明显降低,综合治理体系逐步完善,产业化发展模式基本形成。探索形成的该套覆盖废弃农膜综合治理考核全过程的技术体系和组织实施模式,可为其他地区废弃农膜综合治理成效评估提供参考和借鉴。

数字金融推动新质生产力发展的逻辑解析、困境审视及路径设计

“新质生产力”概念是马克思主义生产力理论的最新成果,是加快实现中国式现代化的重要动力。数字金融推动新质生产力发展,主要依靠核心要素培育、科技创新支持、产业场景塑造三大逻辑,充分发挥资源配置功能,集中体现“新质”变化。数字金融紧密对接生产力变革的各个领域,提供人才、技术、资金支持,打造生产方式新质态、生产流程新质效,推动发展新技术、打造新产业、创造新动能,超前布局战略性新兴产业与未来产业发展。当前,各参与方应当注重推进数字金融服务普惠化与差异化,强调创新驱动在新质生产力发展中的核心地位,明确政策引领和法规监管对数字金融应用方向的指导规范作用,充分承担参与主体责任,为数字金融推动新质生产力发展铺平道路。

Study on Performance of Laminated Porous Metal Fiber Sintered Felt as Catalyst Support for Methanol Steam Reforming Microreactor

In this study, the laminated porous metal fiber sintered felt(PMFSF) functioning as catalyst support was used in a cylindrical methanol steam reforming(MSR) microreactor for hydrogen production. The PMFSF was fabricated by the low temperature solid-phase sintering method using metal fibers such as copper fibers and aluminum fibers which are obtained by the multi-tooth cutting method. The two-layer impregnation method was employed to coat Cu/Zn/Al/Zr catalyst on the PMFSF. The effect of fiber material, uniform porosity and gradient porosity on the performance of methano steam reforming microreactor was studied by varying the gas hourly space velocity(GHSV) and reaction temperature. Our results showed that the loading strength of porous copper fiber sintered felt(PCFSF) was better than porous aluminum fiber sintered felt(PAFSF). Under the same reaction conditions, the PCFSF showed higher methanol conversion and more H_2 output than PAFSF. Moreover, the gradient porosity(Type 5: 90%×80%×70%) of PMFSF used as the catalyst support in microreactor demonstrated a best reaction performance for hydrogen production.

An Implementation of a Decision Support Tool to Assess Treatment of Emerging Contaminants in India

Emerging contaminants have been increasingly studied over the past decade to improve the understanding of their fate, occurrence and toxicological effects on the environment and human health. Originally wastewater treatment plants were not designed to remove these pollutants of emerging concern. However, research is now focusing on determining which existing treatment unit processes are suited to their removal. This research sets out to determine suitable treatment options for thirty nine emerging contaminants including various Pharmaceuticals and Personal Care products. The treatment options used in this study are taken from a developed decision support tool (WiSDOM) which formulates wastewater trains/packages for treatment of wastewater in India. The tool also evaluates the performance of each optimal solution in terms of removal of conventional pollutants (such as biochemical oxygen demand, chemical oxygen demand, total nitrogen, total phosphorous, faecal coliform etc.), using multi-objective genetic algorithms and multi-criteria decision analysis. An Excel Spreadsheet Program (ESP) was developed as an add-on to the tool, allowing the ESP to take an initial concentration of any of the thirty nine emerging contaminant and pass it through the treatment trains (generated/selected by the WiSDOM tool) to determine the removal efficiency. Three scenarios were developed to analyse the removal of emerging contaminants in India. The scenarios were designed to capture the influence of different socio-economic contexts and wastewater characteristics on the treatment technology selection. The tool generated results suggest that the use of constructed wetlands can remove a large proportion of emerging contaminants, resulting in low energy requirements and operational costs and wildlife habitats. However, the land requirement for this process is not always suited to urban areas in India. Advanced oxidation processes were also efficient at removing emerging contaminants. However, the energy requirements for this process were high. Emerging contaminants have different physical and chemical properties;therefore, future evaluations of each chemical should be monitored separately to generate suitable technologies suited to optimal removal.

Assessing Suitability of Irrigation Scheduling Decision Support Systems for Lowland Rice Farmers in Sub-Saharan Africa—A Review

Irrigation in lowland rice production systems in Sub-Saharan Africa (SSA) is mainly based on traditional surface irrigation methods with continuous flooding practices. This irrigation method ends up using a lot more water that would have otherwise been used to open more land and be used in other water-requiring sectors. Various studies suggest Alternate Wetting and Drying (AWD) as an alternative practice for water management that reduces water use without significantly affecting yield. However, this practice has not been well adopted by the farmers despite its significant benefits of reduced total water use. Improving the adoption of AWD using irrigation Decision Support Systems (DSSs) helps the farmer on two fronts;to know “how much water to apply” and “when to irrigate”, which is very critical in maximizing productivity. This paper reviews the applicability of DSSs using AWD in lowland rice production systems in Sub-Saharan Africa.

湖南农产品加工业高质量发展战略研究

湖南农产品加工业实现了持续平稳较快发展,已发展成为湖南省三大万亿产业之一,但加工业依然存在大而不强、产业链不长且不完整等问题,高质量发展面临诸多挑战。为此,应按照全产业链发展思维,以结构调整优化与转型升级为主线,以延链补链强链为目标,构建农产品加工业全产业链“63”一体化发展体系,即大力实施“厚植产业发展基础”“做强产业发展主体”“做大总量做优质量”“做强产业发展支撑”“健全质量保障体系”“提升精准管理服务能力”等六大战略重点,提出“强化组织领导与部门统筹”“强化考核评估与实施监督”“构建协同发展机制”等三大战略保障措施,打造层次分明且功能齐全的现代农产品加工业体系,助力建设全国知名的一流农产品加工业发展高地,加快促进湖南省农产品加工业的高质量发展,为全面推进农业农村现代化、实现乡村振兴提供重要支撑。

考虑环境参数的农业生产数据深度挖掘仿真

农业生产数据受到多种因素的影响,如气候、土壤、病虫害等,这些因素会导致数据存在较大的误差和不确定性,从而影响数据挖掘的准确性。为了能够获取精准的农业生产数据深度挖掘结果,提出一种环境参数影响下农业生产数据深度挖掘算法。分析环境参数对农业生产数据和农业生产数据深度挖掘的影响。采用支持向量机聚类和数据域描述方法,对全部农业生产数据展开样本数据归类处理。根据原始空间农业生产数据属性值的极值,确定样本的属性范围。利用获取的支持向量提取规则,完成农业生产数据深度挖掘。实验结果表明,所提算法的农业生产数据拟合度大于0.75,且挖掘准确性保持在0.9以上,表明上述算法可以获取高精度和高效率的农业生产数据深度挖掘结果。

财政支持视角下产业集聚对林业绿色全要素生产率的影响机制研究

基于各地区统计年鉴中的面板数据,运用非期望产出超效率SBM-Malmquist指数模型测度中国30个省份2008—2019年的林业绿色全要素生产率及异质性结构,并通过构建非线性动态面板门槛回归模型,从财政支持视角探析林业产业集聚对林业绿色全要素生产率的影响机制。研究发现:从总体上看,我国林业绿色全要素生产率呈缓慢增长趋势,但逐年波动明显且存在区域异质性。此外,在不同财政支持水平下,林业产业集聚对林业绿色全要素生产率的影响呈现非线性特征,即较低的财政支持水平抑制了林业产业集聚对林业绿色全要素生产率提高的促进作用,而随着财政支持水平的提高并超过临界值,林业产业集聚可以更好地发挥正外部性进而促进林业绿色全要素生产率提高。研究结论为推进我国生态文明建设和实现林业现代化发展提供了新视角、新方案。

中国饲草产业时空分布格局与影响因素研究

饲草是畜牧业高质量发展的重要物质基础,研究饲草产业分布格局对保障国家食品安全、保护生态环境具有重要价值。研究运用产业集中度指数、空间基尼系数和重心模型分析中国饲草产业时空分布格局,进一步采用固定效应模型实证剖析中国饲草产业发展的影响因素。结果表明:中国饲草产业集聚现象整体表现为“升-降-升-降”变化态势,发展重心呈现“华北-西北-东北”的转移趋势,且重心转移速度日趋放缓,发展格局相对稳定。湿润指数、光照条件、饲草生产性土地比重、饲草相关政策、农业智慧平台、机械化水平和饲草微生物发酵贮存技术均能够有效促进中国饲草产业发展,人均肉类食品消费量对中国饲草产业发展未产生显著赋能效应,自然灾害会抑制中国饲草产业发展。

金融体系需以新质生产力支撑金融强国建设

金融强国建设要以新质生产力为主线,贯彻新发展理念,以金融强国为目标。金融强国建设离不开强大的金融体系。创新不仅是新质生产力的重要特征,也促进了金融体系的调整优化,并对金融体系的人员构成、空间布局、功能结构等提出新的要求和发展方向;金融体系、金融制度也是新质生产力形成和发展的重要影响因素。建设具有中国特色的金融强国,离不开新质生产力的驱动和支撑。绿色低碳发展是我国当前和未来一段时间内的重要导向,以绿色金融支持我国绿色低碳转型发展是必由之路。

基于机器学习的地方鸡产蛋曲线拟合探索

[目的]本研究探索以机器学习方法对2个地方鸡品系周产蛋率建模,并将其与非线性回归方法比较,旨在提高养鸡生产中产蛋曲线的拟合精度。[方法]产蛋数据采集自地方鸡杂交组合试验群,自22周龄开始统计产蛋数,至50周龄截止。试验鸡于全封闭鸡舍单笼饲养,产蛋期人工补光16 h。试验鸡分为两组,每组150只鸡。第Ⅰ组是黄羽肉鸡合成系,第Ⅱ组是兼用型地方鸡种。以IBM SPSS Statistics 21.0软件中的非线性回归方法拟合产蛋曲线,所用模型包括Logistic模型、McNally模型、杨宁模型以及Grossman模型。以MATLAB R2014a构建机器学习模型,神经网络选用多层感知器,用300次迭代的拟牛顿法训练数据。以贝叶斯最小二乘支持向量机构建产蛋模型,针对正则项系数和核函数参数进行优化。[结果]依据MSE、R 2、AIC评判标准,Grossman模型在4种非线性回归模型中拟合度最好,McNally模型表现最差。McNally模型预测的高峰产蛋率偏离真实值;Logistic模型、杨宁模型以及Grossman模型高峰产蛋率统计值与真实值基本相符。两组试验鸡的模型参数不同,Ⅱ组持续产蛋能力优于Ⅰ组。基于MSE、R 2以及图形评估结果,神经网络优于传统的非线性方程拟合,而支持向量机略好于神经网络。优化后神经网络参数为2个隐藏层,每个隐藏层包含5个神经元。第Ⅰ组支持向量机的正则项系数为30.97,核参数为0.0701;第Ⅱ组支持向量机的正则项系数为566.53,核参数为0.1754.[结论]机器学习方法可用于产蛋模型构建,相比于传统单变量回归方法,机器学习方法可加入更多变量,提供更准确的预测。

东北地区制造业绿色转型效率评价及预测研究

推动制造业绿色转型是东北地区实现高质量发展的题中之义。选取东北地区2012—2021年数据为样本,构建制造业绿色转型指标评价体系,通过SBM-GML模型测算东北地区制造业绿色全要素生产率,通过灰色预测模型对东北地区未来十年的制造业绿色全要素生产率进行预测。结果表明,制造业绿色全要素生产率大于1,表明东北地区制造业绿色转型呈稳步上升趋势。

基于支持向量机的油气生产复杂系统信息物理攻击识别方法

在数据驱动的复杂油气生产系统中,存在故障数据干扰攻击识别的问题,忽视系统内部可能存在的故障数据对攻击检测的影响,则难以及时防御攻击或解决故障。因此,为了提高复杂油气生产系统中信息物理攻击检测的准确性,提出了一种基于支持向量机的无向图联合检测方法。首先,对复杂油气生产系统中的关键传感器拓扑化形成无向图,建立传感器之间的连接关系并捕捉数据交互。然后,利用支持向量机检测传感器系统异常原因,并选择接收站低压泵及接收站储罐系统作为示例验证,前者的准确率、精确度、召回率和F1分数均高于99%,后者F1分数高于99%,其余均高于97%。与传统方法K均值聚类相比,本方法具有更高的准确性、鲁棒性和完整性,有助于防范攻击和生产事故,保障油气生产系统的安全。