Location Analysis of Chain Supermarket Distribution Center Based on CFLP

The number of stores operated by chain supermarkets is large, and the distribution of goods has the characteristics of low delivery volume and multiple delivery times. Logistics transportation costs account for a large proportion of operating costs. Establishing distribution centers is an effective measure to reduce operating costs. Through large-scale distribution, the chain supermarket distribution center can centrally manage the inventory of goods and distribute them to each store, thereby improving the distribution efficiency. This paper analyzes the influencing factors of the location of chain convenience supermarket distribution center, and then qualitatively analyzes the actual situation of the location object, determines the initial location plan, and establishes the CFLP model to solve the problem of the location selection of the chain supermarket distribution center

Semi-local convergence of Cordero's sixth-order method

In this paper, the semi-local convergence of the Cordero's sixth-order iterative method in Banach space was proved by the method of recursion relation. In the process of proving, the auxiliary sequence and three increasing scalar functions can be derived using Lipschitz conditions on the first-order derivatives. By using the properties of auxiliary sequence and scalar function, it was proved that the iterative sequence obtained by the iterative method was a Cauchy sequence, then the convergence radius was obtained and its uniqueness was proven. Compared with Cordero's process of proving convergence, this paper does not need to ensure that $\mathcal{G}(s)$ is continuously differentiable in higher order, and only the first-order Fréchet derivative was used to prove semi-local convergence. Finally, the numerical results showed that the recursion relationship is reasonable

Investigation and Analysis of Demand for Intelligent Logistics System With Light Intelligent Packages

With the rapid development of e-commerce logistics, the development of logistics in modern society is facing fierce competition. The expansion of scale and the overflow of waste packaging also increase the burden of the development of logistics enterprises. Based on 512 sample data collected from Mianyang, Yibin and other cities, this paper establishes regression equation by setting independent and dependent variables, and uses linear regression methods such as correlation coefficient, parameter estimation, SPSS regression analysis to analyze. Through the investigation and analysis of demand of light intelligent package in intelligent logistics system, this paper studies the logistics process. In terms of informationization, paperless, optimization of benefit and value of logistics enterprises, and packaging flooding caused by the development of e-commerce logistics, four suggestions are put forward to help the future development of logistics industry

Expression of TLR4-MyD88 and NF-κB in the Iris during Endotoxin-Induced Uveitis

Purpose. To observe the expression of Toll-like receptor-4 (TLR4), myeloid differentiation factor 88 (MyD88), and nuclear factor kappa B p65 (NF-κB p65) in iris tissue during endotoxin-induced uveitis (EIU) and evaluate the significance of these factors in uveitis. Methods. Wistar rats were randomly divided into 5 groups (0 h, 12 h, 24 h, 48 h, and 72 h, n = 10/group). Animal model of acute anterior uveitis was established by a hind footpad injection of 200 μg Cholera vibrio LPS. Expression of TLR4, MyD88, and NF-κB p65 in iris ciliary body tissue was detected through immunohistochemical staining. Results. Expression of TLR4 was not detected in normal iris-ciliary body complex, TLR4 positive cells with round morphology appeared in the iris stroma 12 hours after injection, significantly increased (P < .001) 48 hours after injection, and decreased gradually 72 hours after injection. Expression of MyD88 and NF-κB p65 is consistent with the change of the TLR4. Conclusions. The increased expression of TLR4 and its downstream signal transduction moleculesMyD88, NF-κB p65 indicate the potential role of pathway in the pathogenesis of acute anterior uveitis (AAU)

Bootstrap Generalization Ability from Loss Landscape Perspective

Domain generalization aims to learn a model that can generalize well on the unseen test dataset, i.e., out-of-distribution data, which has different distribution from the training dataset. To address domain generalization in computer vision, we introduce the loss landscape theory into this field. Specifically, we bootstrap the generalization ability of the deep learning model from the loss landscape perspective in four aspects, including backbone, regularization, training paradigm, and learning rate. We verify the proposed theory on the NICO++, PACS, and VLCS datasets by doing extensive ablation studies as well as visualizations. In addition, we apply this theory in the ECCV 2022 NICO Challenge1 and achieve the 3rd place without using any domain invariant methods.Comment: 18 pages, 4 figure