电子商务网站的关键信息要素分析——基于消费者购买决策过程理论和Means-End Chain理论

本文以消费者购买决策过程理论和手段目的理论为基础,对电子商务网站的关键要素进行界定和分析,并希望基于此能为实现一个网站的全面信息化、便捷化、安全高效化提供重要的理论依据,从而更好地为广大消费者服务。

Schwinger-boson approach to anisotropy ferrimagnetic chain with bond alternation

We use the Schwinger-boson approach to study the anisotropy ferrimagnetic spin-（1/2,1） chain with bond alternation.Based on the effect of bond alternation δ,we obtain energy gap,free energy,and specific heat,respectively.The specific heat with larger bond alternation（δ 〉 0.7） displays a peak at low temperature.Based on the effect of XXZ anisotropy parameter Δ,we present excited spectrums,free energy,and specific heat,respectively.

Means-End Chain Based Brand Positioning Strategy for Lin'an Carya Cathayensis Sarg

Based on the theory of Means-End Chain,this paper surveyed value cognition structure of 36 member consumers through the laddering interview. According to the survey,it made an in-depth analysis on brand positioning strategy for Lin'an Carya Cathayensis Sarg,and obtained the existing brand operating model. It is hoped to explore effective strategy of brand positioning for agricultural product enterprises in Zhejiang Province,and accordingly lift core competitiveness of agricultural products of Zhejiang Province.

Means-End Chain Model Framework for Measuring Housing Environment Choice Behavior

Housing and housing space has been a place for personal development, recreation and self accentuation. The need for housing and housing space quality can therefore not be overemphasized. The need for housing remains a constant index for all societies through the ages. Housing is a complex and heterogeneous product in its setting, the cognitive structures of housing users for housing attributes is also complex as well as their choice behaviors. Means-End Chain （MEC） model has been found to be very effective and potent in measuring these complexities. This conceptual paper explores from literature the MEC model and attempts to propagate its use as a research model for housing research, environment-behavior studies and person-environment congruence. It also presents the methodology employed by MEC for data collection and data management. It will suggest an extension to the traditional methodology that MEC utilizes. The possibility of extending the previous methods and their applicability in design process is herein presented; and to make a case for the usability of MEC model as a research tool for housing researchers. In dealing with user preference of housing, there is a need for research for a development of a technological tool for the identification of user needs and preference, and the kind of decision support that are required to identify these needs.

Adaptive Route Sink Relocation Using Cluster Head Chain Cycling Model in WSN

Wireless Sensor Networks(WSN)have revolutionized the processes involved in industrial communication.However,the most important challenge faced by WSN sensors is the presence of limited energy.Multiple research inves-tigations have been conducted so far on how to prolong the energy in WSN.This phenomenon is a result of inability of the network to have battery powered-sensor terminal.Energy-efficient routing on packetflow is a parallel phenomenon to delay nature,whereas the primary energy gets wasted as a result of WSN holes.Energy holes are present in the vicinity of sink and it is an important efficient-routing protocol for WSNs.In order to solve the issues discussed above,an energy-efficient routing protocol is proposed in this study named as Adaptive Route Decision Sink Relocation Protocol using Cluster Head Chain Cycling approach(ARDSR-CHC2H).The proposed method aims at improved communica-tion at sink-inviting routes.At this point,Cluster Head Node(CHN)is selected,since it consumes low energy and permits one node to communicate with others in two groups.The main purpose of the proposed model is to reduce energy con-sumption and define new interchange technology.A comparison of simulation results demonstrates that the proposed algorithm achieved low cluster creation time,better network error and high Packet Delivery Rate with less network failure.

提升产业链韧性和安全水平:时代背景、风险挑战与靶向进路

提升产业链韧性和安全水平是谋求全球产业链分工主动权和话语权的战略性布局。在全球产业链加速重构的背景下,我国产业链安全稳定面临内外部的风险和挑战。从外部来看,主要面临新的地缘政治掣肘、发达国家制造业回流与发展中国家制造业分流的双重挤压以及高精尖技术领域受到“卡脖子”技术封锁等风险;从内部来看,仍面临如何破除产业链安全稳定面临的体制机制障碍、提升产业链自主可控能力以及降低部分粮食、能源资源和重要产业链的高进口集中度等挑战。对此,可通过加快培育“以我为主”的产业链合作体系、打造高标准配套与高水平营商环境以及突破“卡脖子”技术封锁等措施来应对外部风险;通过有序推进全国统一大市场建设、全面提升产业链自主可控能力以及加快产业体系分散化布局等措施来应对内部挑战,从而实现提升我国产业链韧性和安全水平的战略目标。

大食物系统构建中的水产养殖产业链:韧性挑战及提升对策

作为大食物系统的重要组成部分,水产品为国人提供了超过三分之一的动物蛋白,目前我国水产品总产量已经超过猪牛羊肉总产量之和。由于国内水产品主要来源于水产养殖业,且水产养殖业受国内外市场环境变化及自然条件等各种因素影响较大,因此,水产养殖业产业链韧性将深刻影响着我国水产品供给保障安全。本文基于国家统计局数据和调研数据,分析发现我国水产养殖产业链韧性面临抵抗风险能力弱、受冲击后恢复力不够、产业转型力不强等主要挑战。基于此,从加强科技研发与集成、完善渔业保险制度、打造“一条鱼产业链”、加强质量监管、完善资源管理政策等方面提出加强水产养殖产业链韧性的建议。

绿色建筑供应链韧性评价指标体系研究

为推动绿色建筑的规模化发展,加强绿色建筑供应链的建设与管理,确保供应链形成良好的网络韧性是关键。围绕WSR方法论,构建绿色建筑供应链韧性评价指标体系,运用层次分析法和熵权法相结合的方法,确定各项指标权重。研究表明,在绿色建筑供应链韧性评价中,事理方面的影响最为显著,物理方面的影响程度最小。针对各因素对绿色建筑供应链韧性的影响程度,为绿色建筑供应链的优化提供指导,丰富绿色建筑供应链领域的相关研究。

创新链视角下应用型高校科研发展路径探析

[研究目的]寻求适应自身的科研发展路径,是当前应用型高校面临的重要问题。基于正向线性创新链模式和反向反馈线性创新链模式的视角,提出应用型高校科研发展的两种路径。[研究方法]第一,适用于非行业背景类应用型高校的“衔接基础研究和市场需求,聚焦原创成果的应用转化”科研发展路径,即树立促进基础科研成果应用转化的科研定位;强化与重点高校和科研院所合作,承接基础科研成果的转化;深入了解行业和地方需求,明确原创成果转化的应用方向;强化学校科技创新能力,提升服务外部需求的水平。第二,适用于行业背景类应用型高校的“紧跟行业最新动态,瞄准关键技术研发”科研发展路径,即树立服务行业企业发展的科研定位;加强与行业企业之间的全方位联系;围绕服务行业发展凝聚学校资源。[研究结论]上述两种科研发展路径有利于提升应用型高校办学水平,推动应用型高校建设顺利进行。

大食物观下食用菌产业链韧性面临的现实挑战与提升对策

提升食用菌产业链韧性是保障食用菌产业稳步发展的有效途径,也是践行大食物观的应有之义。本文基于食用菌产业链不同环节的视角,阐释食用菌产业链韧性的内涵,重点分析大食物观下食用菌产业链韧性面临的现实挑战,并提出相应对策。分析表明,我国食用菌产业链从生产、加工到流通都面临着诸多现实问题,如生产面临的极端气候风险增加,生产规模和形式有待优化,菌种“卡脖子”问题;精深加工及高值化开发能力不足,加工设备和行业标准亟待更新,食用菌有机副产物资源化循环利用不够充分;产品结构不协调、质量参差不齐,产业品牌建设滞后等。据此,提出深化产业科技创新支撑、提高生产链抵御风险和抵抗冲击能力,强链补链提质增效、优化加工链动态演进和持续增长能力,对标高标准国际水平、缓释食用菌跨境供应链脆弱性等对策建议。

产业链视角下福州市食用菌产业升级研究

近年来,福州市食用菌产量与产值均持续稳步增长,食用菌产业作为福州市特色产业,为经济发展贡献了巨大力量,同时也是实现农民增收、助力乡村振兴的支柱产业。本文对福州市食用菌的种植规模与品种、政府支持情况、生产和销售状况进行了概括,深入分析了其产业链环节存在的问题,并从品种选育、创新业态、培育龙头企业、加强培训指导、品牌建设等方面提出食用菌产业升级的对策。

基于Kriging元模型的多级供应链稳健优化设计

由于多级供应链的结构复杂性和目标多重性,不确定性因素对其整体绩效的影响不可忽视。为了估量不确定性因素对其整体绩效的影响,首先,将arena仿真和Kriging元建模技术相融合,基于稳健参数设计的思想,构建多个绩效响应指标的均值和标准差Kriging元模型;其次,借助已构建的Kriging元模型和满意度函数法,构建基于Kriging元模型的稳健综合满意度优化设计策略;最后,采用非参数bootstrap重复方法刻画不确定因素对稳健优化解的影响,并与基于多项式元模型的稳健优化方法进行比较分析,仿真验证了所提方法的有效性和稳健性。结果表明,所提方法能够有效解决不确定条件下具有多绩效响应指标的多级供应链的稳健优化设计,在保证供应链系统达到期望最优绩效的同时,尽可能地降低不确定性因素对供应链绩效的影响,为多级供应链的稳健运营提供一定的理论依据和决策参考。

供应链视角下中老年服装行业创新路径研究

随着中国社会“老龄化”程度进一步加深,中老年消费市场的潜力被逐步发掘,未来中老年服装行业规模将达到千亿级别。通过问卷调查及实地走访的方式发现中老年服装行业供应链末端存在供需失衡、生产端产能过剩和销售渠道不畅等问题,提出基于龙头企业的供应链整合、服装生产“模块化”和拼接设计,提供给终端消费者更多样的服装样式,并提出服装品牌的多元化营销途径和线上电商平台的“适老化”改进方案,为提高中老年服装行业的整体竞争力提供可行的创新路径,服务未来中老年人群体的服装消费。

“混合式教学+问题链导学”视域下高校思政课混合教改与实践研究

“混合式”教学模式是一种融合了在线学习与传统面授教学优势的新型教育教学模式。它以教育数智化转型为契机,拓宽教育教学场域,延展课堂“半径”,契合“00后”学习习惯,符合当下高校思政课教育教学改革的大势所趋。“问题链”导学法本质上是将教学核心知识点提炼成逻辑严密、以“链”相连的问题链,并结合一定教学环节和教学活动,完成立德树人根本任务的教学方法。将“混合式”教学模式+“问题链”导学法运用于高校思政课教学改革是教育转型形势下的一种新尝试。

国家安全视野下进出口食药品安全监管现状与海关对策

当前我国食药品供应链溯源现状不适应国家安全监管的新形势,监管过程中各部门信息共享共建机制不健全,存在全链条溯源制度机制不完善、监管断链且真空现象,加上国际信息交换衔接不畅,进出口食药品溯源管理工作和安全监管现状堪忧,相关部门履行安全监管难度仍然较大,急待建立进出口食药品供应链溯源系统,完善制度机制明确职责分工,运用数智时代科技手段优化食药品供应链的安全监管。本文从食药品供应链溯源系统入手,针对我国食药品进出口供应链安全监管现状与存在问题,为海关创新监管方法手段和提升智慧监管水平提出切实可行的对策,从而为强国建设、民族复兴伟业筑牢国门安全屏障。

Application of Bayesian Approach in the Parameter Estimation of Continuous Lumping Kinetic Model of Hydrocracking Process

Hydrocracking is a catalytic reaction process in the petroleum refineries for converting the higher boiling temperature residue of crude oil into a lighter fraction of hydrocarbons such as gasoline and diesel. In this study, a modified continuous lumping kinetic approach is applied to model the hydro-cracking of vacuum gas oil. The model is modified to take into consideration the reactor temperature on the reaction yield distribution. The model is calibrated by maximizing the likelihood function between the modeled and measured data at four different reactor temperatures. Bayesian approach parameter estimation is also applied to obtain the confidence interval of model parameters by considering the uncertainty associated with the measured errors and the model structural errors. Then Monte Carlo simulation is applied to the posterior range of the model parameters to obtain the 95% confidence interval of the model outputs for each individual fraction of the hydrocracking products. A good agreement is observed between the output of the calibrated model and the measured data points. The Bayesian approach based on the Markov Chain Monte Carlo simulation is shown to be efficient to quantify the uncertainty associated with the parameter values of the continuous lumping model.

Two Approaches of Substance Flow Analysis—An Inspiration from Fluid Mechanics

That flow is the common feature of substance flow and fluid flow is the viewpoint emphasized in the paper. Some notes on fluid mechanics, including the two approaches of fluid flow description, were given. The concepts of the chain and the chain group of product life cycles, which are essential for understanding the specific features of substance flow, were advanced. Taking the specific feature of substance flow into consideration, on the analogy of the two approaches in fluid mechanics, two approaches of substance flow analysis, i.e. L method and E model, were formulated. Illustrative models of steady and unsteady substance flow were sketched by both methods, and comparison between them was made in general.

Comparison of deterministic and stochastic approaches to crosshole seismic travel-time inversions

The Bayesian inversion method is a stochastic approach based on the Bayesian theory.With the development of sampling algorithms and computer technologies,the Bayesian inversion method has been widely used in geophysical inversion problems.In this study,we conduct inversion experiments using crosshole seismic travel-time data to examine the characteristics and performance of the stochastic Bayesian inversion based on the Markov chain Monte Carlo sampling scheme and the traditional deterministic inversion with Tikhonov regularization.Velocity structures with two different spatial variations are considered,one with a chessboard pattern and the other with an interface mimicking the Mohorovicicdiscontinuity(Moho).Inversions are carried out with different scenarios of model discretization and source–receiver configurations.Results show that the Bayesian method yields more robust single-model estimations than the deterministic method,with smaller model errors.In addition,the Bayesian method provides the posterior probabilistic distribution function of the model space,which can help us evaluate the quality of the inversion result.

Thermal entanglement of the spin-1 Ising-Heisenberg diamond chain with biquadratic interaction

We investigate the thermal entanglement of the spin-1 Ising-Heisenberg diamond chain, which can be regarded as a theoretical model for the homometallic molecular ferrimagnet [Ni_3（C_4H_2O_4）_2-（μ_3-OH）_2（H_2O）_4]n ·（2H_2O）n. Two cases,i.e., the isotropic Heisenberg（Ising-XXX） coupling model and anisotropic Heisenberg（Ising-XXZ） coupling model, are discussed respectively. The negativity is chosen as the measurement of the thermal entanglement. By means of the transfermatrix approach, we focus on the effects of biquadratic interaction parameters on the negativity of the infinite spin-1 Ising-Heisenberg diamond chain. In the Ising-XXX coupling model, it is shown that for the case with ferromagnetic coupling the thermal entanglement can be induced by the biquadratic interaction, but the external magnetic field will suppress the occurrence of the entanglement induced by the biquadratic interaction. In the Ising-XXZ coupling model,for the case with antiferromagnetic coupling, due to the biquadratic interaction the effect of the anisotropy parameter on the entanglement will be suppressed at near-zero temperature. Moreover, the biquadratic interaction makes the threshold temperature increase. The effects of the external magnetic field on the thermal entanglement are also discussed, and it is observed that the entanglement revival phenomena exist in both models considered.

Entanglement teleportation via a couple of quantum channels in Ising–Heisenberg spin chain model of a heterotrimetallic Fe–Mn–Cu coordination polymer

We investigate the teleportation of an entangled state via a couple of quantum channels, which are composed of a spin-1/2 Heisenberg dimer in two infinite Ising–Heisenberg chains. The heterotrimetallic coordination polymer CuⅡMnⅡ(L1)][FeⅢ(bpb)(CN)2]·ClO4·H2O(abbreviated as Fe–Mn–Cu) can be regarded as an actual material for this chain.We apply the transfer-matrix approach to obtain the density operator for the Heisenberg dimer and use the standard teleportation protocol to derive the analytical expression of the density matrix of the output state and the average fidelity of the entanglement teleportation. We study the effects of the temperature T, anisotropy coupling parameter △, Heisenberg coupling parameter J2 and external magnetic field h on the quantum channels. The results show that anisotropy coupling? and Heisenberg coupling J2 can favor the generation of the output concurrence and expand the scope of the successful average fidelity.