Conceptual Metaphor Analysis in Advertising Slogans about Coffee Brands

This paper delves into the strategic use of conceptual metaphors in advertising slogans for coffee brands,exploring how these linguistic devices influence consumer perception and brand appeal.By employing cognitive linguistic theories,this study categorizes eight global coffee brand slogans into five distinct metaphorical patterns,revealing the underlying conceptual mappings that enhance brand messaging.The analysis underscores the importance of metaphorical language in simplifying complex ideas,evoking emotional responses,and establishing a connection between the product and the consumer’s everyday experiences.This paper concludes that the judicious application of conceptual metaphors in advertising is a powerful tool for creating memorable and impactful slogans that resonate with the target audience.

Self-management in patients with diabetic foot ulcer:a concept analysis

Objective:This paper presents an analysis of the concept of patient outcomes.Methods:The present study conducted searches on various databases,including Wanfang,Sinomed,CNKI,Pub Med,Cochrane Library,Embase,Web of Science,and Ovid.The paper followed the Walker and Avant concept-analysis approach.Results:Initially,899 pieces of literature were identified through the search process,and after screening,41 of them were ultimately included in the analysis.The identified attributes of the concept included(1)capability,(2)decision making,and(3)action.These antecedents were shaped by factors such as illness perception,self-efficacy,and family and social.The consequences included(1)physiological effects,(2)psychological effects,and(3)social influence.Conclusions:The concept analysis of self-management in patients with diabetic foot ulcers(DFUs)not only aids in clinical practice and suppor ts interventions,but also contributes to the development of self-management theory.The common goal of clinical medical staff is to assist DFU patients in improving cognitive ability,making correct self-management decisions,and enhancing self-management behavior.

Economic analysis in product design——A case study of a TCM dietary supplement

An approach for the economic analysis of chemical product design is proposed. It takes into account of customers' preference on product quality and economic considerations such as pricing, profit, market share, capital investment, and operating cost. The activities needed to support business decision making – identifying product quality, estimating product cost, calculating financial metrics, and performing make–buy analysis – are discussed.The design of a Ganoderma lucidum dietary supplement, a traditional Chinese medicinal(TCM) product, is used to illustrate all the activities in this approach.

Method for Selecting the Optimal Solution for the Design of the Gear Train

Some researchers in mechanical engineering have developed systems for the design of gear transmission boxes, but almost no calculation methods exist for widespread synthesis. In this article, we outline methods for automatic determination of toothed helical gear trains and the selection criteria for the optimal choice of gear trains. In this work two methods were applied. As first design to use an expert system for the design and then optimize the design that is why we used Kappa PC and Catia for CAD.

Research on Self-Supervised Comparative Learning for Computer Vision

In recent years,self-supervised learning which does not require a large number of manual labels generate supervised signals through the data itself to attain the characterization learning of samples.Self-supervised learning solves the problem of learning semantic features from unlabeled data,and realizes pre-training of models in large data sets.Its significant advantages have been extensively studied by scholars in recent years.There are usually three types of self-supervised learning:"Generative,Contrastive,and GeneTative-Contrastive."The model of the comparative learning method is relatively simple,and the performance of the current downstream task is comparable to that of the supervised learning method.Therefore,we propose a conceptual analysis framework:data augmentation pipeline,architectures,pretext tasks,comparison methods,semisupervised fine-tuning.Based on this conceptual framework,we qualitatively analyze the existing comparative self-supervised learning methods for computer vision,and then further analyze its performance at different stages,and finally summarize the research status of sei supervised comparative learning methods in other fields.

An Intelligent Tool to Support Requirements Analysis and Conceptual Design of Database Design

As an application of artificial intelligence and expert system technology to database design,this paper presents an intelligent design tool NITDT,which comprises a requirements specification lan- guage NITSL,a knowledge representation language NITKL,and an inference engine with uncertainty reasoning capability.NITDT now covers the requirements analysis and conceptual design of database design.However,it is possible to be integrated with another database design tool, NITDBA,developed also at NIT to become an integrated design tool supporting the whole process of database design.