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.

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.

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).

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.

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.

Applying MILP for 27-Level CMLIs to Obtain Low THD Values over Wide Voltage Range

The 27-level cascaded multilevel inverter (CMLI) is a popular CMLI, since it can produce an output voltage with nearly sinusoidal wave form and may be realized as a trinary asymmetric CMLI that consists of only three H-bridges. A new approach using a mixed integer linear programming (MILP) model is applied, that can determine the switching angles of this CMLI that minimize the values of any undesired harmonics. The model is applied first to determine the number of harmonics to be minimized to obtain least percentage total harmonic distortion (%THD) utilizing the 13 positive levels of the inverter. The obtained result is then included in the model and it is solved for different values of the output voltage. Single phase and three phase cases are investigated. The results show very low values of %THD and low order harmonics over wide voltage range till the 91st harmonic in both cases, which agree with the IEEE standards 519-1992 for voltage distortion limits till 161 kv.

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.

ALGORITHMS FOR A SYSTEM OF GENERALIZED MIXED EQUILIBRIUM PROBLEMS AND A COUNTABLE FAMILY OF SOME NONLINEAR MULTI-VALUED NONEXPANSIVE-TYPE MAPS

In this paper, relaxed iterative algorithms of Krasnoselskii-type and Halpern-type that approximate a solution of a system of a generalized mixed equilibrium problem anda common fixed point of a countable family of totally quasi-C-asymptotically nonexpansivemulti-valued maps are constructed. Strong convergence of the sequence generated by thesealgorithms is proved in uniformly smooth and strictly convex real Banach spaces with Kadec-Klee property. Furthermore, several applications of our theorems are also presented. Finally,our theorems are significant improvements on several important recent results for this classof nonlinear problems.

Properties of the total least squares estimation

Through theoretical derivation, some properties of the total least squares estimation are found. The total least squares estimation is the linear transformation of the least squares estimation, and the total least squares estimation is unbiased. The condition number of the total least squares estimation is greater than the least squares estimation, so the total least squares estimation is easier to be affected by the data error than the least squares estimation. Then through the further derivation, the relationships of solutions, residuals and unit weight variance estimations between the total least squares and the least squares are given.

IT Project Evaluation and Investment Decision

There are many kinds of real options,which are valuable,in each phase of the lifetime of an information technology(IT)project.However,in the current IT investment decision theory,real options that embedded in IT projects are not considered. In this paper, the process of IT project decision and implementation is fully analyzed, the real options that may be embedded in an IT project are identified, and a real option analysis (ROA) method is proposed for evaluation of an IT project under uncertain business environment. ROA employs Black-Scholes expansion model and cancels the assumption that the cost of project is certain. The numerical example manifests that the ROA can better evaluate IT project and select the IT investment alternative. Finally, a road map is provided to help selecting the suitable evaluation method to make IT investment decision.

Perturbation Analysis for the Matrix-Scaled Total Least Squares Problem

In this paper, we extend matrix scaled total least squares (MSTLS) problem with a single right-hand side to the case of multiple right-hand sides. Firstly, under some mild conditions, this paper gives an explicit expression of the minimum norm solution of MSTLS problem with multiple right-hand sides. Then, we present the Kronecker-product-based formulae for the normwise, mixed and componentwise condition numbers of the MSTLS problem. For easy estimation, we also exhibit Kronecker-product-free upper bounds for these condition numbers. All these results can reduce to those of the total least squares (TLS) problem which were given by Zheng et al. Finally, two numerical experiments are performed to illustrate our results.

Preoperative and postoperative risk factors for periprosthetic joint infection in primary total hip arthroplasty:A 1-year experience

BACKGROUND Periprosthetic joint infection(PJI)in primary total hip replacement(THR)is one of the most important threats in orthopedic surgery,so one important surgeon’s target is to avoid or early diagnose a PJI.Although the incidence of PJI is very low(0.69%)in our department,with an average follow-up of 595 d,this infection poses a serious threat due to the difficulties of treatment and the lower functional outcomes after healing.AIM To study the incidence of PJI in all operations occurring in the year 2016 in our department to look for predictive signs of potential infection.METHODS We counted 583 THR for 578 patients and observed only 4 cases of infection(0.69%)with a mean follow-up of 596 d(min 30,max 1451).We reviewed all medical records to collect the data:duration and time of the surgery,presence,type and duration of the antibiotic therapy,preoperative diagnosis,blood values before and after surgery,transfusions,presence of preoperative drugs(in particularly anticoagulants and antiaggregant,corticosteroids and immunosuppressants),presence of some comorbidities(high body mass index,blood hypertension,chronic obstructive pulmonary disease,cardiac ischemia,diabetes,rheumatological conditions,previous local infections).RESULTS No preoperative,intraoperative,or postoperative analysis showed a higher incidence of PJI.We did not find any class with evident major odds of PJI.In our study,we did not find any border value to predict PJI and all patients had similar values in both groups(non-PJI and PJI).Only some categories,such as female patients,showed more frequency of PJI,but this difference related to sex was not statistically significant.CONCLUSION We did not find any category with a higher risk of PJI in THR,probably due to the lack of few cases of infection.

Economic Valuation of Auctioned Tourist Hunting Blocks in Tanzania

Economic valuation of ecosystems is increasingly being recognized as an important exercise to inform sustainable utilization and conservation of natural assets. It helps in planning and establishing fair profit margins that accrue either directly or indirectly from the consumptive and non-consumptive uses of ecosystem goods and services. This paper is based on a study which estimated the economic values of tourist hunting blocks (HBs) in Tanzania using the Analytic Multicriteria Valuation Method (AMUVAM). The study used a sample size of 12 out of 24 vacant hunting blocks which were to be auctioned to potential hunting companies in December 2022. The economic values of HBs were estimated using the time horizon of 10 years (the mean tenure for winning company). The results show that the economic values ranged from USD 6,215,588 to USD 653,470,695 per hunting block and the Existence Value (EV) constituted about 19% of the Total Economic Value (TEV). EV ranged from USD 632,210 to USD 125,147,285. The study underscores the need for decisions to allocate ecosystems, such as HBs, to both direct and indirect uses, to be guided by a though understanding of their values. We further recommend building the capacity of staff charged with the role of managing and allocating uses of these ecosystems to enable them undertake economic valuation of ecosystems using both simple and more robust analytical tools, such as the GIS, relational databases, and worldwide websites based tools, like InVEST (Integrated Valuation of Environmental Services and Tradeoffs), ARIES (Artificial Intelligence for Ecosystem Services), and Co$ting Nature.

Valuing Water Resources in Turkey: A Case Study of Beyşehir Lake

Water resource management is critical to Turkey’s economy and environment. The country has about 112 billion m3 per year of economically exploitable water. However, population growth, climate change and pollution of water bodies are putting increasing pressure on these resources. In this context, understanding the contribution of water to the economy and environment is crucial for its conservation. To meet this need, the World Bank launched a program aiming at improving valuation and accounting systems of natural resources in Turkey. As part of this program, this article estimates in monetary terms the economic value of water in Bey?ehir Lake, the largest freshwater lake in Turkey. Valuation is based on the Total Economic Value concept, which includes use and non-use values. The results show that the economic value of water is about seven times higher than its financial value. In addition, the economic value of water allocated for municipal use (TL5/m3) is substantially greater than that supplied for irrigation (TL0.5/m3). The analysis suggests that allocation of water from Bey?ehir Lake among different uses is inefficient. To validate this conclusion and improve allocation, a more comprehensive assessment of the economic benefits of water resources is needed, particularly of water supply for irrigation, municipal use, recreation and biodiversity. The analysis also indicates that economic valuation can be a powerful tool to improve water management at the river basin level.

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。

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。

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。