Prediction of Total Output Value of Construction Industry in Jiangxi Province Based on Grey Prediction Model

In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.

Effect of Light Emitting Diodes (LEDs) on Growth, Mineral Composition, and Nutritional Value of Wheat & Lentil Sprouts

Sprouts are ready-to-eat and are recognized worldwide as functional components of the human diet.Recent advances in innovative agricultural techniques could enable an increase in the production of healthy food.The use of light-emitting diode(LED)in indoor agricultural production could alter the biological feedback loop,increasing the functional benefits of plant foods such as wheat and lentil sprouts and promoting the bioavailability of nutrients.The effects of white(W),red(R),and blue(B)light were investigated on the growth parameters and nutritional value of wheat and lentil sprouts.In the laboratory,seeds were sown under three different LED treat-ments:white,red,and blue light,while normal incandescent light served as a control.Percentage seed germina-tion improved by 18.34%and 12.67%for wheat and 18.34%and 12.67%for lentil sprouts under LED treatments R and B,respectively.An increase in total soluble protein and sugar by 33.4%and 9.23%in wheat and by 31.5%and 5.87%in lentils was observed under the R LED treatment.Vitamin C concentrations in wheat and lentils were significantly increased by R LED compared to all other treatments.Other parameters,including potassium and sodium concentrations,were significantly increased under red and blue light compared to the control;white light,on the other hand,significantly decreased all these parameters.According to the experimental data,red and blue LED light could be beneficial in the production of functional wheat and lentil sprouts with high nutrient concentrations.

The Application of LM-BP Neural Network in the Prediction of Total Output Value of Agriculture

Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.

Strategic Agricultural Commodity Value Chains in Africa for Increased Food: The Regional Approach for Food Security

The challenge Africa faces the most is how to feed the 2.4 billion people in 2050. This will require a transformational agriculture. Africa doesn’t need subsistence agriculture, but rather agriculture linked to the market where market demand and the consuming habits are taken in consideration. Agriculture evolves in an environment where small holders are linked to markets (national and regional), where economies of complementarity and economies of scale are taken advantage of by producers and private sector. In short, Africa will need a paradigm shift to industrialise and commercialise its agriculture sector in order to increase food production, and income and to create jobs in and outside the sector. Africa needs agribusiness and agro-industries to domesticate the benefits of the sector, to create wealth in the sector and retain that wealth in the continent. Agricultural commodities regional value chains for increased food should be the target for Africa. The continent remains the region with the highest prevalence of under-nourishment. Since agriculture remains the mainstay of most African economies except the mineral producers, the sector deserves a close attention from leaders. It accounts for 65% of employment and 40% of Africa’s export earnings and accounts for 17% of the GDP. This shows how important the sector is. Agriculture needs to be seen as a conduit for farmers to get connected to markets, a conduit for revenue, for jobs and for transformation. Africa needs to come back on the international scene as food sufficient continent and even food exporter. This can be achieved only with a stable, productive agricultural resource base. Thus, achieving and sustaining food security and economic prosperity in Africa will require significant efforts to modernize the continent’s agriculture sector through injection of agribusiness and agro-industries and through the application of science and technology in agriculture. In essence, agriculture needs to be viewed as knowledge based entrepreneurial activity. Smart investments in agriculture will have multiplier effects for the whole economy and hence induce prosperity to other sectors. In recent years, a renewed focus on agriculture has been evident in policy and development agendas across the African continent. This paper outlines the status of agriculture, agribusiness and agro-industries in Africa, their role in the agenda of agricultural transformation and economic transformation and the focus on regional value chain to increase food production, transformation and trade. The paper adopts a new thinking in agriculture, which reflects a regional value chain approach. The author covers such issues as: need for agricultural transformation, the role of value chain in agricultural sector, the need for regional value chain for increased income and increased food, the role of markets and the common denominator of all, the regional integration to push forward the African agriculture agenda. Evidence shows that it is agricultural growth, through its leverage effects on the rest of the economy that typically enables poor countries, poor regions and ultimately poor households to take the first steps toward economic transformation. Therefore agricultural productivity, at the small holder’s level, has the potential to lift millions of Africa’s vulnerable out of poverty and provide sustainable jobs. Other factors, namely “the rapid urbanization” and “increased population growth”, are quoted to be of critical importance. Africa population is projected to double, attaining the 2.3 billion people mark over the next 40 years representing half of the globe’s total population. This could trigger competition for resources and can have devastating effects on natural resources if not rightly channelled.

Fixed Point of a Countable Family of Uniformly Totally Quasi- <i>&Oslash</i>-Asymptotically Nonexpansive Multi-Valued Mappings in Reflexive Banach Spaces with Applications

The purpose of this article is to discuss a modified Halpern-type iteration algorithm for a countable family of uniformly totally quasi- ? -asymptotically nonexpansive multi-valued mappings and establish some strong convergence theorems under certain conditions. We utilize the theorems to study a modified Halpern-type iterative algorithm for a system of equilibrium problems. The results improve and extend the corresponding results of Chang et al. (Applied Mathematics and Computation, 218, 6489-6497).

MULTI-VALUED TOTALLY QUASI-φ-ASYMPTOTICALLY NONEXPANSIVE SEMI-GROUPS AND STRONG CONVERGENCE THEOREMS IN BANACH SPACES

The purpose of this article is first to introduce the concept of multi-valued to- tally Quasi-φ-asymptotically nonexpansive semi-groups, which contains many kinds of semi- groups as its special cases, and then to modify the Halpern-Mann-type iteration algorithm for multi-valued totally Quasi-cS-asymptotically nonexpansive semi-groups to have the strong convergence under a limit condition only in the framework of Banach spaces. The results presented in this article improve and extend the corresponding results announced by many authors recently.

Prognostic Value of Semi-Quantitative 18F-FDG PET/CT Parameters in Hodgkin’s Lymphoma

Objective:To assess the prognostic value of maximum standardized uptake value(SUVmax),metabolic tumor volume(MTV),and total lesion glycolysis(TLG)determined by 18F-fluorodeoxyglucose positron emission tomography-computed tomography(18F-FDG PET/CT)imaging in Hodgkin’s lymphoma patients.Methods:A total of 148 Hodgkin’s lymphoma patients diagnosed with lymph node biopsy from October 2014 to October 2015 were retrospectively analyzed followed by categorizing into good(125 cases)and poor(23 cases)prognosis groups.The chi-squared test was used to analyze the clinicopathological characteristics of Hodgkin’s lymphoma patients with the semi-quantitative 18F-FDG PET/CT parameters;the Spearman method was used to analyze the correlation between the semi-quantitative parameters and clinicopathological features of Hodgkin’s lymphoma;receiver operating characteristic curve was used to analyze the predictive value of the semi-quantitative parameters for poor prognosis of Hodgkin’s lymphoma patients.Results:Mean SUVmax,MTV,and TLG of the 148 cases of Hodgkin’s lymphoma were 7.26±2.38,12.46±3.14 cm3,and 76.83±18.56 g,respectively.Significant variations in the Ann Arbor stage and clinical classification were observed with different levels of semi-quantitative parameters(P<0.05).The semi-quantitative parameters were not correlated with age and gender(P>0.05)but positively correlated with Ann Arbor stage and clinical classification(P<0.05).These parameters in the poor prognosis group were higher than those in the good prognosis group(P<0.05).The area under the curve(AUC)of SUVmax,MTV,and TLG in predicting the poor prognosis group was 0.881,0.875,and 0.838,with cut-off values of 7.264,12.898 cm3,and 74.580g,as well as specificity of 88.8%,84.0%,and 78.4%,and sensitivity of 87.0%,87.0%,and 78.3%,respectively;the AUC of the combined prediction was 0.986,with a specificity of 97.6%and sensitivity of 86.3%.Conclusion:The semi-quantitative 18F-FDG PET/CT parameters provide valuable insights for Hodgkin’s lymphoma prognosis assessment.

薛暮桥宏观经济管理思想的逻辑

薛暮桥治学的特色是面向实际经济工作,为解决工作中的问题而展开理论研究,进而以理论研究成果指导经济管理工作。他在货币与价格、社会主义所有制、价值规律、经济管理体制、宏观经济管理等方面的研究颇有建树。他的宏观经济管理思想的实践来源与应用对象是中国社会主义经济体制。价值规律在他的宏观经济管理思想中占有重要的地位。他认为计划与市场是对立统一的,主张运用物价、金融与财政政策工具进行宏观经济管理。在构建高水平社会主义市场经济体制的今天,他的宏观经济管理思想仍具有重要的现实意义。

马克思劳动价值论视域下内卷化现象的逻辑透析及突破路径--以限定产品为例

限定产品在“消费主义”包装下,使消费者陷入“符号消费”的漩涡,进而导致企业生产内卷化,引发市场的恶性竞争。基于马克思主义政治经济学来分析这一内卷化现象,其缘起于商品经济的供需不平衡,兴起于资本对剩余价值的狂热追逐,在消费主义符号化的推波助澜下,扩张于资本逻辑中生产和消费的辩证关系之中,进而发现内卷化本质是商品拜物教建制下的异化症候。解决限定产品市场乱象,应以马克思“人的解放学说”为理论要旨,通过重塑人民消费观念、积极推动品牌发展、深度融合中国文化、构建多元治理体系,从整体上支撑起社会消费的提质升级,形成高质量发展的消费经济动力。

河北省农业科技试验区发展思考与探讨

农业科技试验区以注重科技落地和解决生产难题为核心,发挥引领示范作用,促进农业经济持续增长。在梳理河北省农业科技试验区发展历程和现状基础上,研究其对农业经济发展的推动作用。但近年来河北省农业科技试验区发展缓慢且地位下降,分析其原因,主要存在对试验区的认识有偏差、试验区工作力度减弱和试验区立项难3种问题。针对问题提出恢复农业科技试验区项目支持、注重农业科技试验区科技人才队伍培养和加强试验区科技工作指导的对策建议。

急性病毒性肝炎患者凝血四项、血脂指标水平及其预后评估价值分析

目的分析急性病毒性肝炎(AVH)患者凝血四项、血脂指标水平及其评估预后的价值。方法选取2020年1月1日至2022年1月31日收治的300例AVH作为研究组,300例体检健康人员作为对照组。比较2组一般资料、凝血四项[凝血酶原时间(PT)、活化部分凝血活酶时间(APTT)、凝血酶时间(TT)、纤维蛋白原(FIB)、血脂指标[总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、三酰甘油(TG)]。研究组均行常规抗病毒、护肝治疗,比较研究组不同治疗效果患者治疗前后凝血四项、血脂指标,并分析治疗前凝血四项、血脂指标与治疗效果的相关性及预测治疗效果的价值。结果研究组外周血PT、APTT、TT长于对照组,FIB、TC、HDL-C、LDL-C水平低于对照组,TG水平高于对照组(P<0.01)。研究组治疗效果为无效患者治疗前、治疗后外周血PT、APTT、TT长于有效、显效患者,有效患者长于显效患者(P<0.05);FIB、TC、HDL-C、LDL-C水平低于有效、显效患者,有效患者低于显效患者,TG水平高于有效、显效患者,有效患者高于显效患者(P<0.05);研究组治疗后外周血PT、APTT、TT、TG水平与治疗效果呈负相关,FIB、TC、HDL-C、LDL-C与治疗效果呈正相关(P<0.05,P<0.01);治疗前凝血四项与血脂指标联合预测AVH患者治疗效果的曲线下面积为0.937(95%CI为0.903,0.962),预测敏感度、特异度分别为85.21%、88.61%,明显优于凝血四项、血脂指标单独预测(P<0.01)。结论AVH患者凝血四项、血脂指标存在明显异常,且治疗前凝血四项与血脂指标联合检测在预测治疗效果方面具有较高价值。

考虑动态需求的生鲜商品物流配送优化方法研究

目的针对生鲜商品配送过程中客户需求的变化,协调静态与动态客户需求之间的关系,合理规划路径,并降低物流总成本。方法首先考虑客户生鲜需求的多样化温控区间、随机订单请求时间及动态需求量等因素,构建物流总成本最小化的整数规划模型。然后,设计基于高斯混合聚类的改进蚁群算法求解该模型,并提出动态需求处理策略,用于路径的再优化。其次,通过与粒子群算法、遗传算法和鲸鱼优化算法进行对比分析,验证文中设计算法的有效性。最后,以重庆市某生鲜配送网络为例,对比分析优化前后的运营指标,并探讨生鲜商品价值损失水平与物流总成本之间的关系。结果经优化后,物流总成本下降了22.35%,其中惩罚成本、价值损失、配送成本和温控成本分别下降了39.84%、61.84%、29.80%、57.00%。结论文中所提的模型、算法和动态需求处理策略可以合理规划配送路径,有效降低了总成本,为考虑动态需求的生鲜配送网络优化提供了参考。

配电网分布式发电渗透率极限值定义与计算方法

未来配电网接入分布式发电的比例将不断提高,为此提出了分布式发电(distributed generation,DG)渗透率极限值的定义及计算方法。首先,利用消纳能力曲线和负荷时序特性得到按时间分布的消纳能力。其次,在此基础上定义功率、容量和能量3个渗透率极限值。将渗透率极限值定义为保证任一时刻DG出力不超过该时刻消纳能力下的渗透率的最大值。再次,给出渗透率极限值的计算方法。根据DG容量及其时序出力特性和按时间分布的消纳能力确定DG容量极限值,进而得到渗透率极限值。最后,用IEEE 33节点算例进行验证,与现有方法比较表明,所得结果更为准确。定义的渗透率极限值易于使用,在满足安全性前提下,为衡量DG接入配电网程度提供了重要的参考指标。

基于声发射断层总面积和b值的钢筋混凝土梁损伤表征

为研究钢筋混凝土构件破坏过程中的声发射特性,对钢筋混凝土梁进行四点弯曲加载破坏试验,利用声发射技术对破坏过程进行监测。为综合考虑声发射信号的事件数、幅度和能量等因素所反映的损伤特性,引用地震学领域的断层总面积理论与声发射b值理论进行联合表征。断层总面积反映事件数和能量的关系,声发射b值反映事件数和幅度的关系,两者的结合可以更好地反映钢筋混凝土梁的破坏规律。实验表明,该损伤表征方法可进一步提升对混凝土结构损伤预警识别的精准性,从而在实际工程运用声发射技术进行损伤识别和预警提出合理的声发射信号监测方法。

三重价值链耦合协调发展对企业绿色全要素生产率的影响

省内价值链、国内价值链和全球价值链(三重价值链)的融合发展,是畅通国内国际双循环,也是中国企业经济软着陆的关键抓手。在高质量发展有序推进的背景下,绿色全要素生产率成为衡量企业发展的重要指标,因此有必要探讨三重价值链耦合协调发展对企业绿色全要素生产率的影响。该研究利用世界投入产出表、中国多区域投入产出表、上市公司数据测算了三重价值链耦合协调度,基于SBM方法测算包含非期望产出的绿色全要素生产率,整合得到770家上市公司2012年、2015年和2017年的平衡面板数据,通过多维固定效应回归考察三重价值链耦合协调度对企业绿色全要素生产率的影响,研究结果表明:①存在三重价值链耦合协调度提升→GVC嵌入度深化→企业绿色全要素生产率增长的正向传播机制,但效果随着企业的要素密集度增加呈现递减趋势。②机制研究和异质性分析表明,前向耦合协调发展为企业绿色全要素生产率带来更有效和长期的动能,而后向耦合协调发展为劳动密集型企业带来短期显著的绿色生产率提升。基于此,该研究提出了布局本土产业、协调三链关系的相关政策建议:①地方政府应发挥主观能动性,评估本地企业优势,保证在政策制定上更加微观具体,劳动密集型的省份或行业有效利用三重价值链的协调发展为企业的转型升级奠定基础,为地方行业的协同发展打通阻碍。②在要素投入端,注重对地方高新技术企业的资源分配,同时区域间合作完成生产供应端的高度集成,增强前向耦合协调发展对于企业内涵式增长能力的促进效应,兼顾供应链流程的绿色环保标准。③加强省域间的政策协调性和交易通达性,提高各地区企业省域间的市场专业化分工,而非单独地嵌入GVC市场,利用集聚效应推动产业全面升级,打破国内市场循环的技术壁垒。

子宫动脉栓塞介入治疗产后出血中全面性护理的效果

目的:明确全面性护理在子宫动脉栓塞介入治疗产后出血中的应用效果。方法:在本院2018年1月至2022年12月时间段内接受子宫动脉栓塞介入治疗的产后出血患者中抽取50例作为研究对象,随机分为对照组和观察组,均纳入25个病例;基础护理方案用于对照组患者的护理,全面性护理方案用于观察组患者的护理;比较两组临床观察指标、护理满意度和护理效果情况。结果:观察组止血时间、手术时间、下床活动时间和住院时间短于对照组,术后出血量少于对照组,差异明显(P<0.05);观察组护理满意度高于对照组,差异明显(P<0.05);观察组一次性栓塞成功率高于对照组,并发症发生率低于对照组,差异明显(P<0.05)。结论:产后出血患者子宫动脉栓塞介入治疗中给予全面性护理服务,应用效果较好,推广应用价值高。

CTCA定量参数对冠心病患者短期病死预测价值

目的探讨CT冠状动脉造影(CTCA)定量参数对冠心病患者短期病死预测价值。方法选取2021年3月—2023年3月收治的冠心病200例,比较不同冠状动脉病变程度冠心病患者CTCA定量参数(动脉阻力指数、总斑块负荷和斑块最小密度CT值),分析CTCA定量参数与冠心病患者冠状动脉病变程度相关性,探讨术后1年冠心病患者病死情况,分析CTCA定量参数与冠心病患者短期病死风险关联性,评价CTCA定量参数对冠心病患者短期病死预测价值。结果不同冠状动脉病变程度冠心病患者动脉阻力指数、总斑块负荷逐渐升高,斑块最小密度CT值逐渐降低(P<0.05)。冠心病患者动脉阻力指数、总斑块负荷与疾病类型、病变支数及狭窄程度呈正相关,斑块最小密度CT值与疾病类型、病变支数及狭窄程度呈负相关(P<0.05)。冠心病200例中39例(19.50%)术后1年病死。动脉阻力指数、总斑块负荷和斑块最小密度CT值与冠心病患者短期病死有关(P<0.01)。对冠心病患者短期病死预测的受试者工作特征曲线下面积动脉阻力指数、总斑块负荷和斑块最小密度CT值三者联合明显高于单独预测(P<0.05)。结论CTCA定量参数与冠心病患者冠状动脉病变程度密切相关,且联合各参数预测冠心病患者短期病死价值较高。

基于灰色系统理论的我国卫生总费用之预测

利用我国2008—2020年卫生总费用及相关统计数据分别建立了GM(1,1)、FHGM(1,1)、DGM(1,1)和OFHGM(1,1)4种灰色预测模型。利用平均绝对百分比误差研究了这些模型的性能,结果表明:与GM(1,1)、FHGM(1,1)和DGM(1,1)模型相比,OFHGM(1,1)模型的预测精度最高。

增值税减税对生活性服务业企业全要素生产率的影响——基于A股上市公司数据的实证分析

提高企业全要素生产率是增强生活性服务业竞争力的关键所在。作为宏观调控手段,税收政策对全要素生产率的影响一直备受关注。基于生活性服务业A股上市公司2015—2022年的数据,考察增值税减税对生活性服务业企业全要素生产率的影响。研究发现,增值税减税能够提高生活性服务业企业全要素生产率,且能通过缓解融资约束和增加人力资本两条途径促进企业全要素生产率的提高。基于此,提出以下建议:扩大增值税减税政策适用范围,增强政策普惠性;拓宽企业融资渠道,缓解企业融资困境;增加企业人力资本投入,提高人力资源质量;优化增值税减税政策设计,采取差异化政策。