From past the development direction of logistics centers covering problem, the main solution is almost always relying on modern computer and gradually developed intelligent algorithm, at the same time, the previous understanding...
This paper investigates the linguistic and pragmatic features of public signs in three distinct historical stages of the Chinese society. It then focuses on the new features of public signs, in order to shed light on the...
Bushido: The Soul of Japan is an influential sociology work for the world to study Japan. Drawing primarily upon cultural translation studies and Gerard Genette's paratext theory, this article investigates how the 10 Chinese...
As technology develops by leaps and bounds, automated writing evaluation (AWE) has caught increasing attention worldwide. This study aims to provide an overview of research literature focusing on AWE used in education through...
With the rise of cloud computing, big data and Internet of Things technology, intelligent manufacturing is leading the transformation of manufacturing mode and industrial upgrading of manufacturing industry, becoming the...
The high volatility of world soybean prices has caused uncertainty and vulnerability particularly in the developing countries. The clustering of time series is a serviceable tool for discovering soybean price patterns in...
The yacht industry is one of the leading industries used to guide residents’ increase in consumption. This study analyzes the evolving spatial pattern of yacht clubs in the United States from 1900-2017, aiming to explore the...
Online reviews play an important role in consumers' decision making. However, limited studies have been conducted to understand the effects of online reviews on consumers' behavior. Drawing upon the Elaboration Likelihood Model...
Currently, with the dramatic increase in social media users and the greater variety of online product information, manual processing of this information is time-consuming and labour-intensive. Therefore, based on the text mining...
Pepper bacterial spot disease caused by Xanthomonas campestris is the most common pepper bacterial disease, which ultimately reduces productivity and quality of products. This work uses deep convolutional neural networks (CNNs)...
This paper investigates the critical determinants for the adoption of mobile commerce (m-commerce) in Vietnamese small and medium-sized enterprises (SMEs) from the perspective of managers. A perception-based conceptual model is...
Decision-making trial and evaluation laboratory (DEMATEL) can visualize the structure of complex causal relationships, so it is widely used in decision making. One of the important steps in DEMATEL is normalization, and it has...
This study examined the antecedents and consequences of the use of digital finance platforms to manage personal finance of rural people in China. The conceptual framework of the study was developed from the integration of...
Despite the popularity of online health services (OHSs) among patients in recent years, academic research on this phenomenon is limited. Drawing on the valence framework, the authors proposed a model to explore both the most...
A novel high capacity and security reversible data hiding scheme is proposed in this article, in which the secret data is represented by different orthogonal spreading sequences and repeatedly embedded into the cover image...
Twitter is an emerging form of news media with a wide spectrum of participants involving in news dissemination. Owing to their open and interactive nature, individuals, non-media, and non-commercial participants may play a...
Although inclusive innovation has been regarded as a process according to prior studies, this complex process remains relatively under-researched, particularly when the process is successfully completed by entrepreneurial firms...
Despite spectacular progress in microfluidics, small-scale liquid manipulation, with few exceptions, is still driven by external pumps and controlled by large-scale valves, increasing cost and size and limiting complexity. By...
In recent years, as the demand for senior care services has further increased, it has become more difficult to obtain matching services from the vast amount of data. Therefore, this paper proposes a service recommendation...
In order to detect corn diseases accurately and quickly and reduce the impact of corn diseases on yield and quality, this paper proposes an improved object detection network named YOLOX-Tiny, which fuses convolutional attention...
This paper presents an ontology-based approach to benefit automatic fertilization management for citrus orchards located in mountainous region. The core of the fertilization approach is the citrus fertilization ontology, which...
To discuss the control of financial risks (FRs) under blockchain (BC) and improve network information security (NIS) and data security, edge computing (EC) combined with BC is proposed to control the risks of the big data (BD)...
This paper investigates structural variation of agricultural productivity growth in China using a multiple-frontier approach. Agricultural productivity gain in Sichuan province is decomposed into technological progress...
Due to the limited search space in the existing performance optimization ap-proaches at software architectures of cloud applications (SAoCA) level, it is difficult for these methods to obtain the cloud resource usage scheme with...