A Note on an Order Level Inventory Model with Varying Two-Phased Demand and Time-Proportional Deterioration

The main purpose of this paper is to generalize the effect of two-phased demand and variable deterioration within the EOQ (Economic Order Quantity) framework. The rate of deterioration is a linear function of time. The two-phased demand function states the constant function for a certain period and the quadratic function of time for the rest part of the cycle time. No shortages as well as partial backlogging are allowed to occur. The mathematical expressions are derived for determining the optimal cycle time, order quantity and total cost function. An easy-to-use working procedure is provided to calculate the above quantities. A couple of numerical examples are cited to explain the theoretical results and sensitivity analysis of some selected examples is carried out.

The Criteria for Reducing Centrally Restricted Three-Body Problem to Two-Body Problem

Our Solar System contains eight planets and their respective natural satellites excepting the inner two planets Mercury and Venus. A satellite hosted by a given Planet is well protected by the gravitational pertubation of much heavier planets such as Jupiter and Saturn if the natural satellite lies deep inside the respective host Planet Hill sphere. Each planet has a Hill radius aH and planet mean radius RP and the ratio R1=RP/aH. Under very low R1 (less than 0.006) the approximation of CRTBP (centrally restricted three-body problem) to two-body problem is valid and planet has spacious Hill lobe to capture a satellite and retain it. This ensures a high probability of capture of natural satellite by the given planet and Sun’s perturbation on Planet-Satellite binary can be neglected. This is the case with Earth, Mars, Jupiter, Saturn, Neptune and Uranus. But Mercury and Venus has R1=RP/aH =0.01 and 5.9862 × 10-3 respectively hence they have no satellites. There is a limit to the dimension of the captured body. It must be a much smaller body both dimensionally as well masswise. The qantitative limit is a subject of an independent study.

Multi-Granularity Neighborhood Fuzzy Rough Set Model on Two Universes

The two universes multi-granularity fuzzy rough set model is an effective tool for handling uncertainty problems between two domains with the help of binary fuzzy relations. This article applies the idea of neighborhood rough sets to two universes multi-granularity fuzzy rough sets, and discusses the two-universes multi-granularity neighborhood fuzzy rough set model. Firstly, the upper and lower approximation operators are defined in the two universes multi-granularity neighborhood fuzzy rough set model. Secondly, the properties of the upper and lower approximation operators are discussed. Finally, the properties of the two universes multi-granularity neighborhood fuzzy rough set model are verified through case studies.

“N-Two-N”教学模式的构建及在本科有机化学教学中的探究实践

基于立德树人的核心目标,探索了本科有机化学教学的新思路,从提高教师引导作用、提升学生自主学习能力、优化评价考核方式等方面进行了探索与研究。本研究以CDIO-BOPPPS协同教学模式为指导思想,引入CDIO理念创新教学设计构思,借鉴BOPPPS模式改革教学过程,结合多种教学法和多种评价方式,构建一个“N-Two-N”一体化的课堂教学体系。本文阐述了“N-Two-N”一体化模式的落实过程以及该教学模式的优点和取得的成效。

高等教育强国建设的中国道路

高等教育强国建设是科技强国建设的基础性保障,是人才强国建设的关键性支撑,对中国式现代化建设具有突出的战略意义。推进高等教育强国高质量建设需要厘清中国式现代化引领高等教育强国建设的逻辑谱系,探明符合中国国情与现代化共同特征的强国建设路径;梳理高等教育强国建设的发展机理,增强高等教育强国建设的使命感和紧迫感;深化高等教育改革,回应新时代高等教育强国建设对新质生产力的迫切需要;明晰高水平科技自立自强支撑高等教育强国建设的核心要义,实现科技创新层级与能级的双跃升;以“两个大局”的时代理念作为高等教育高质量发展的时空坐标,厘清高等教育强国建设的行动逻辑。此外,在高等教育强国建设的关键阶段,我国必须以教育评价改革为抓手,破除制约高等教育强国建设的障碍,进而推动高等教育体系实现结构性变革、系统性重塑。

习近平文化思想的哲学阐释

习近平文化思想是习近平新时代中国特色社会主义思想的重要组成部分,是新时代中国共产党领导文化建设实践经验的理论概括和科学总结。习近平文化思想深刻体现了新时代中国共产党人文化主体性的守正创新,以“两个结合”为深厚底蕴,坚持民族性与世界性相融通,将“魂脉”与“根脉”相结合,在认识论、历史观和辩证法层面实现了对马克思主义哲学的时代创新。习近平文化思想正面回应了西方文明的现代性困境,聚焦西方现代文明的自反性问题和价值异化倾向,提出构建人类命运共同体与创造人类文明新形态的科学论断。习近平文化思想坚持守正与创新相结合、坚持主体性与多样性相融汇、坚持理论与实践相贯通,在实践中深化了对中国特色社会主义文化建设规律的深刻认识,展现了习近平文化思想蕴含的哲学意蕴,必将在新时代中国特色社会主义文化建设中展现思想伟力,在担当新时代新的文化使命中彰显马克思主义的真理力量。

多场景下基于传感器的行为识别

针对基于传感器的行为识别任务中识别场景单一且固定的问题,提出一种多场景下基于传感器的行为识别迁移模型,由基于传感器的动态感知算法(dynamic perception algorithm,DPA)和自适应场景的行为识别迁移方法(adaptive scene human recognition,AHR)两部分组成,解决在固定场景下对传感器的依赖性以及在场景转换时识别模型失效的问题。DPA提出两阶段迁移模式,将行为识别阶段和模型迁移阶段同步推进,保证模型在传感器异动发生后仍能持续拥有识别能力。进一步提出AHR场景迁移方法,实现模型在多场景下的行为识别能力。实验验证该模型具有更优的适应性和可扩展性。

Analysis of College Students’ Test Scores Based on Two-Component Mixed Generalized Normal Distribution

In order to improve the fitting accuracy of college students’ test scores, this paper proposes two-component mixed generalized normal distribution, uses maximum likelihood estimation method and Expectation Conditional Maxinnization (ECM) algorithm to estimate parameters and conduct numerical simulation, and performs fitting analysis on the test scores of Linear Algebra and Advanced Mathematics of F University. The empirical results show that the two-component mixed generalized normal distribution is better than the commonly used two-component mixed normal distribution in fitting college students’ test data, and has good application value.

Two-Agent Makespan Minimization Problem on Parallel Machines

A two-agent scheduling problem on parallel machines is considered in this paper. Our objective is to minimize the makespan for agent A, subject to an upper bound on the makespan for agent B. In this paper, we provide a new approximation algorithm called CLPT. On the one hand, we compare the performance between the CLPT algorithm and the optimal solution and find that the solution obtained by the CLPT algorithm is very close to the optimal solution. On the other hand, we design different experimental frameworks to compare the CLPT algorithm and the A-LS algorithm for a comprehensive performance evaluation. A large number of numerical simulation results show that the CLPT algorithm outperformed the A-LS algorithm.

Modeling One Dimensional Two-Cell Model with Tumor Interaction Using Krylov Subspace Methods

A brain tumor occurs when abnormal cells grow, sometimes very rapidly, into an abnormal mass of tissue. The tumor can infect normal tissue, so there is an interaction between healthy and infected cell. The aim of this paper is to propose some efficient and accurate numerical methods for the computational solution of one-dimensional continuous basic models for the growth and control of brain tumors. After computing the analytical solution, we construct approximations of the solution to the problem using a standard second order finite difference method for space discretization and the Crank-Nicolson method for time discretization. Then, we investigate the convergence behavior of Conjugate gradient and generalized minimum residual as Krylov subspace methods to solve the tridiagonal toeplitz matrix system derived.

习近平文化思想的原创性贡献

习近平文化思想是新时代文化建设的理论指导与实践指南,具有重要的原创性贡献。立足新的历史方位,这一重要思想提出坚定文化自信,注重在深刻把握中华文明的突出特性与中华优秀传统文化的创造性转化、创新性发展中推动新时代文化建设;提出建设中华民族现代文明的新命题,以坚定文化自信、秉持开放包容、坚持守正创新为基本原则,在践行“七个着力”中担当新时代新的文化使命;提出“两个结合”的根本要求,在科学把握“两个结合”重大意义与内在规律中建设中国特色社会主义文化;提出全球文明倡议,以“四个共同倡导”为落脚点,推动人类文明发展进步。

Heat and Mass Transfers in a Two-Phase Stratified Turbulent Fluid Flow in a Geothermal Pipe with Chemical Reaction

This research focused on the study of heat and mass transfers in a two-phase stratified turbulent fluid flow in a geothermal pipe with chemical reaction. The derived non-linear partial differential equations governing the flow were solved using the Finite Difference Method. The effects of various physical parameters on the concentration, skin friction, heat, and mass transfers have been determined. Analysis of the results obtained indicated that the coefficient of skin friction decreased with an increase in Reynolds number and solutal Grasholf number, the rate of heat transfer increased with an increase in Eckert number, Prandtl number, and angle of inclination, and the rate of mass transfer increased with increase in Reynolds number, Chemical reaction parameter and angle of inclination. The findings would be useful to engineers in designing and maintaining geothermal pipelines more effectively.

Hopf Bifurcation of Nonresident Computer Virus Model with Age Structure and Two Delays Effects

This paper constructed and studied a nonresident computer virus model with age structure and two delays effects. The non-negativity and boundedness of the solution of the model have been discussed, and then gave the basic regeneration number, and obtained the conditions for the existence and the stability of the virus-free equilibrium and the computer virus equilibrium. Theoretical analysis shows the conditions under which the model undergoes Hopf bifurcation in three different cases. The numerical examples are provided to demonstrate the theoretical results.

Development and Evaluation of Intersection-Based Turning Movement Counts Framework Using Two Channel LiDAR Sensors

This paper presents vehicle localization and tracking methodology to utilize two-channel LiDAR data for turning movement counts. The proposed methodology uniquely integrates a K-means clustering technique, an inverse sensor model, and a Kalman filter to obtain the final trajectories of an individual vehicle. The objective of applying K-means clustering is to robustly differentiate LiDAR data generated by pedestrians and multiple vehicles to identify their presence in the LiDAR’s field of view (FOV). To localize the detected vehicle, an inverse sensor model was used to calculate the accurate location of the vehicles in the LiDAR’s FOV with a known LiDAR position. A constant velocity model based Kalman filter is defined to utilize the localized vehicle information to construct its trajectory by combining LiDAR data from the consecutive scanning cycles. To test the accuracy of the proposed methodology, the turning movement data was collected from busy intersections located in Newark, NJ. The results show that the proposed method can effectively develop the trajectories of the turning vehicles at the intersections and has an average accuracy of 83.8%. Obtained R-squared value for localizing the vehicles ranges from 0.87 to 0.89. To measure the accuracy of the proposed method, it is compared with previously developed methods that focused on the application of multiple-channel LiDARs. The comparison shows that the proposed methodology utilizes two-channel LiDAR data effectively which has a low resolution of data cluster and can achieve acceptable accuracy compared to multiple-channel LiDARs and therefore can be used as a cost-effective measure for large-scale data collection of smart cities.

求解二阶锥绝对值方程组的惯性two-sweep迭代法

提出一种求解二阶锥绝对值方程组(SOCAVE)的惯性two-sweep迭代法。通过引入一个惯性项和一个恒等式,在系统矩阵和迭代矩阵满足一定条件的情况下,分析该算法的收敛性,数值结果表明所提出的方法是可行且有效的。

深刻领悟习近平文化思想 建设中华民族现代文明

全国宣传思想文化工作会议首次提出了“习近平文化思想”这一重大论断,表明了我们党的历史自信、文化自信达到了新高度,标志着我们党对中国特色社会主义文化建设规律的认识达到了新高度。习近平文化思想是明体达用、体用贯通、内容丰富、开放发展的思想体系。其一,习近平文化思想是百余年来党领导文化建设理论的重大成果,在党的宣传思想文化事业史上具有里程碑意义;其二,习近平文化思想是新时代坚持“两个结合”的光辉典范,是对中华文明发展规律的深刻认识和把握;其三,习近平文化思想是21世纪“明体达用、体用贯通”的科学体系,是建设中华民族现代文明的强大思想武器和科学行动指南。中华民族现代文明是具有突出特性的现代文明,是破解“古今中西”之争的现代文明,是新时代的现代文明,是中国式现代化的文化形态。新时代新征程推动中华民族现代文明建设,必须毫不动摇地坚持习近平文化思想的科学指引,在新的历史起点上不断实现理论与实践的创新突破;必须持续加强对习近平文化思想的学习、研究、阐释,并将其自觉贯彻落实到宣传思想文化工作各方面和全过程;必须坚定文化自信,秉持开放包容,坚持守正创新,切实担负起新的文化使命,凝聚民族复兴力量,共同谱写中华民族现代文明建设新华章。

找回群众与双向赋能:党建引领乡村治理有效的韧性机制——基于C村美丽屋场建设的个案考察

治理有效是党建引领乡村治理的基本目标。本文从群众路线视角出发,对C村“党建引领美丽屋场建设”实践探索进行剖析,探讨党建引领与乡村治理有效之间的机制。党建引领乡村治理的实践路径在于,通过群众动员和组织建构两种策略,在过程层面促进党领共治的治理行动生成,在结构层面实现党领共治的治理网络重塑。党建引领乡村治理的关键要素在于,以政党力量融入为牵引、以群众路线回归为主线,实现农民群众主体性回归和村民自治的职能归位,进而以“政治引领自治、行政助推自治”的双向赋能,充分激活乡村社会自主治理效能,持续形塑乡村治理有效的韧性机制。

A Posteriori Error Estimate of Two Grid Mixed Finite Element Methods for Semilinear Elliptic Equations

In this paper, we present the a posteriori error estimate of two-grid mixed finite element methods by averaging techniques for semilinear elliptic equations. We first propose the two-grid algorithms to linearize the mixed method equations. Then, the averaging technique is used to construct the a posteriori error estimates of the two-grid mixed finite element method and theoretical analysis are given for the error estimators. Finally, we give some numerical examples to verify the reliability and efficiency of the a posteriori error estimator.

两桥臂交叉解耦不平衡控制策略研究

由于非不平衡控制策略中没有考虑线电压和相电流的相角差,造成三相电网的有功、无功电流无法完全补偿。为了解决这一问题,根据电压电流相角差,推导出单相补偿器中无功参考补偿电流与负载电流的关系,提出一种两桥臂交叉解耦不平衡控制策略,利用多变量滤波器和交叉解耦双复系数滤波器优化锁相环,精确锁定三相不平衡电网的电压频率和相位,对2个单相背靠背变换器的无功电流分别控制,进而利用两桥臂变换器补偿三相不平衡无功。实验结果验证了所提两桥臂交叉解耦不平衡控制策略,可抑制三相有功不平衡及补偿三相不平衡无功,将三相电流的不平衡度从150.0%降低至2.6%,三相电网功率因数从0.257提升至0.997,减少了三相无功补偿器的开关管个数。

橡胶树形成层组织的酵母双杂交cDNA文库构建及HbHDA6互作蛋白筛选

次生乳管是天然橡胶合成和贮存的场所,是由橡胶树树干树皮中维管形成层细胞分裂分化而来。次生乳管的数量与天然橡胶产量直接相关,而这些乳管的数量取决于形成层分化次生乳管的频率(乳管分化能力),是橡胶树产量育种的主要指标。前期研究中,我们发现组蛋白去乙酰化酶(HDA)抑制剂曲古抑菌素A(TSA)能诱导橡胶树乳管分化且组蛋白去乙酰化酶基因(HbHDA6)能够参与橡胶树乳管分化调控。由于组蛋白乙酰化修饰调控橡胶树次生乳管分化的分子机制尚未阐明,因此该文使用冠菌素(COR)诱导橡胶树形成层分化产生次生乳管的实验系统,以分离形成层组织为材料,构建酵母双杂交cDNA文库,以HbHDA6基因为诱饵来筛选酵母双杂交文库,确定与HbHDA6相互作用的蛋白。结果表明:(1)利用Gateway技术构建的均一化COR诱导橡胶树形成层组织的酵母双杂交cDNA文库,初级文库的容量为6.34×10^(6)CFU·mL^(-1),总单克隆数为1.27×10^(7),文库重组率为100%;次级文库的容量为7.72×10^(6)CFU·mL^(-1),总单克隆数为1.54×10^(7),文库重组率为100%。初级文库和次级文库的插入片段平均长度分别为1.1 kb和1.2 kb。(2)成功构建了筛选HbHDA6互作蛋白的pGBKT7-HbHDA6诱饵载体,并确认无自激活活性。(3)使用该诱饵载体对构建的酵母双杂交cDNA文库进行筛选,并通过NCBI_BLAST比对和去除重复以后,获得了22个与HbHDA6发生互作的蛋白,包括CLP1、ERF3、ERF4、HSP82、LARP6a、APT5、PP2A、FBA6等。该研究成果为解析组蛋白乙酰化修饰调控橡胶树次生乳管分化的分子机制提供了理论基础,为转基因改良橡胶树的产胶潜力提供了候选基因,为高性能天然橡胶遗传改良育种提供了新线索。