Effects of interactive education with conversation map on foot care behaviors in elderly diabetic patients with high-risk diabetic foot

Background: Diabetic foot is one of the main reasons that seriously affect the quality of life and disability. Good foot care can prevent 85% amputation of diabetic foot patients. The purpose of this study is to explore the effects of interactive education with conversation map on foot care behaviors among elderly diabetic patients with high-risk diabetic foot.Methods: 96 elderly diabetic patients in Endocrinology Department of the Second Affiliated Hospital of Shandong First Medical University from January to December in 2020 were selected as the research objects. According to the parity of the last two digits of the hospitalization number, the odd number was divided into the control group and the even number was divided into the experimental group. The control group was given traditional health education and interactive education with conversation map for diabetic foot launched by the international diabetes federation was added to the experimental group. After 3 months of intervention, fasting blood glucose, 2 hours postprandial blood glucose, glycosylated hemoglobin and foot care behaviors of the two groups were observed.Results: The fasting blood glucose, 2 hours postprandial blood glucose, glycosylated hemoglobin and foot care behaviors of the experimental group were significantly better than those of the control group and the difference was statistically significant (p<0.05).Conclusions: The interactive education with conversation map can effectively improve the foot care behaviors of elderly diabetic patients with high-risk diabetic foot, and then prevent the occurrence of diabetic foot

Multi-Modality American Sign Language Recognition

American Sign Language (ASL) is a visual gestural language which is used by many people who are deaf or hard-of-hearing. In this paper, we design a visual recognition system based on action recognition techniques to recognize individual ASL signs. Specifically, we focus on recognition of words in videos of continuous ASL signing. The proposed framework combines multiple signal modalities because ASL includes gestures of both hands, body movements, and facial expressions. We have collected a corpus of RBG + depth videos of multi-sentence ASL performances, from both fluent signers and ASL students; this corpus has served as a source for training and testing sets for multiple evaluation experiments reported in this paper. Experimental results demonstrate that the proposed framework can automatically recognize ASL

Smart Community Service Brand Functional Value and Sustainable Brand Relationship—The Mediating Role of Customer Emotional Cognition

More and more companies are developing customer service by building Smart Community Service Brand Platforms (SCSBP). However, the impact of digital platform functions on sustainable brand relationships, and the mediating mechanism of customer’s emotional cognition are still unclear. The functional value of digital services in the property service industry focuses on three dimensions, including service efficiency, personalization, and social interaction. Regarding consumers’ emotional cognition aspect, we investigate value consistency and brand image. The empirical analysis findings suggest: (1) the functional value of smart community service has a significant positive impact on consumers’ emotional cognition and is positively related to the construction of sustainable brand relationships; (2) consumers’ emotional cognition of smart community service is positively related to the sustainable brand relationship; (3) consumers’ emotional cognition plays a complete mediating role between service efficiency and sustainable brand relationship, demonstrating a partial mediating role between personalization and social interaction aspects of functional value and sustainable brand relationship. This study contributes to the customer-based sustainable brand relationship theory in the digital service environment and provides a reference for companies to continuously improve the SCSBP and customer-based brand construction

Improved Approximation Algorithm for Minimum-Weight (1,m)(1,m)--Connected Dominating Set

The classical minimum connected dominating set (MinCDS) problem aims to find a minimum-size subset of connected nodes in a network such that every other node has at least one neighbor in the subset. This problem is drawing considerable attention in the field of wireless sensor networks because connected dominating sets can serve as virtual backbones of such networks. Considering fault-tolerance, researchers developed the minimum $k$-connected $m$-fold CDS (Min$(k,m)$CDS) problem. Many studies have been conducted on MinCDSs, especially those in unit disk graphs. However, for the minimum-weight CDS (MinWCDS) problem in general graphs, algorithms with guaranteed approximation ratios are rare. Guha and Khuller designed a $(1.35+\varepsilon)\ln n$-approximation algorithm for MinWCDS, where $n$ is the number of nodes. In this paper, we improved the approximation ratio to $2H(\delta_{\max}+m-1)$ for MinW$(1,m)$CDS, where $\delta_{\max}$ is the maximum degree of the graph

A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring

Traditional deep learning methods are sub-optimal in classifying ambiguity features, which often arise in noisy and hard to predict categories, especially, to distinguish semantic scoring. Semantic scoring, depending on semantic logic to implement evaluation, inevitably contains fuzzy description and misses some concepts, for example, the ambiguous relationship between normal and probably normal always presents unclear boundaries (normal − more likely normal - probably normal). Thus, human error is common when annotating images. Differing from existing methods that focus on modifying kernel structure of neural networks, this study proposes a dominant fuzzy fully connected layer (FFCL) for Breast Imaging Reporting and Data System (BI-RADS) scoring and validates the universality of this proposed structure. This proposed model aims to develop complementary properties of scoring for semantic paradigms, while constructing fuzzy rules based on analyzing human thought patterns, and to particularly reduce the influence of semantic conglutination. Specifically, this semantic-sensitive defuzzier layer projects features occupied by relative categories into semantic space, and a fuzzy decoder modifies probabilities of the last output layer referring to the global trend. Moreover, the ambiguous semantic space between two relative categories shrinks during the learning phases, as the positive and negative growth trends of one category appearing among its relatives were considered. We first used the Euclidean Distance (ED) to zoom in the distance between the real scores and the predicted scores, and then employed two sample t test method to evidence the advantage of the FFCL architecture. Extensive experimental results performed on the CBIS-DDSM dataset show that our FFCL structure can achieve superior performances for both triple and multiclass classification in BI-RADS scoring, outperforming the state-of-the-art methods

THE INFLUENCE OF INSTITUTIONALISTS ON THE NEW DEAL: AND WHY THE MAINSTREAM LITERATURE OF THE HISTORY OF ECONOMIC THOUGHT IGNORES THIS PERIOD IN HISTORY

This article holds that institutional economics constituted the economic foundation for Roosevelt's New Deal. Institutional economics created the ideal environment for the implementation of the state intervention measures of the New Deal though the "institutionalist movement" of 1920s. The notions of planning of Wesley C. Mitchell, John M. Clark, and Walton Hamilton, the most influential institutionalists then, were embodied in a good many measures of the New Deal. Many institutionalists participated in the making and the implementation of New Deal policies. The ideas of planning held by Rexford G. Tugwell and Mordecai Ezekiel were directly adopted in the New Deal measures, proving that the New Deal measures came from institutional economics. Adopting the SSK approach, this article believes that the literature of orthodox economics ignores this period of history on purpose, since it is part of the social construction process for orthodox economics to ignore this period of history. </p