In this chapter, the author will demonstrate the use of a peace intervention to increase children's self-identity, community attachments, and coping mechanisms. With correct training and awareness, this project could be...
ZigBee communication technology was used to design the internal information transmission system of intelligent gateway in the monitoring system. Finally, the system was used to detect the changes of temperature and humidity in...
Depression is one of the leading mental health disorders that occurs frequently among university students. Self-esteem and lifestyle factors are modifiable factors that have the potential of preventing depression. The study...
Based on rural population return management, governance theory, and information technology theory, this paper analyzes the specific performance of rural areas in managing population return, and describes the overview, quantity...
In order to enhance the daily training for basketball, this paper establishes a human posture estimation framework by using monocular camera and wireless sensor network. First, the daily basketball training images are collected...
Digital transformation has brought about great social changes, and individuals are constantly facing the challenge of using emerging technologies. This article, for the first time, combines the Diffusion of Innovation Theory and...
Over the past decades, China has been undertaking extremely rapid industrialization and urbanization. Along with economic boom, many adverse environmental effects are emerging. Among them, it is of great significance for the...
Bio-dispersants have been considered as superior alternatives of currently used dispersants as they are generally more biodegradable, less toxic, and better at enhancing biodegradation. However, the application of...
In view of the similarity of characteristics between the features of the disease images and the large dimension, and the features correlation of the disease images, this will lead to the generation of feature redundancy, and...
It is not easy for banks to sell their term-deposit products to new clients because many factors will affect customers’ purchasing decision and because banks may have difficulties to identify their target customers. To address...
Taking the one-year-old T. chinensis (Tamarix chinensis Lour.) in Yellow River Delta as the study object, the variations of C, N and P stoichiometry in T. chinensis under drought stress was studied using pot experiments. The...
Biosurfactant production by Rhodococcus erythropolis SB-1A was studied based on Atlas oil agar medium in a batch reactor. The strain was isolated from a water sample collected from Northern Atlantic Ocean. Several parameters...
In recent years, multi-objective optimization algorithms, especially many-objective optimization algorithms, have developed rapidly and effectively.Among them, the algorithm based on particle swarm optimization has the...
In the era of big data-driven digital economies, technology commercialization capability has become the lifeblood of high-tech enterprises to shape competitive advantage and achieve multiplier growth, while the related research...
Offshore Oil spills are of tremendous concern due to its enormous harm to economic and ecological systems. Corexit dispersants are used as an important combating agent for oil spills as they can dilute oil downward to water...
This research investigated the relationships of the Dark Triad, impulsiveness, and social network sites (SNS) addiction with adolescents. In particular, this research examined the indirect effects of the measured motor...
This article describes how as internet technology continues to change and improve lives and societies worldwide, effective global information management becomes increasingly critical, and effective Internet information retrieval...
In order to address the problems that the accuracy and convergence of current network security situation assessment models need to be improved, a model of network security situation assessment based on SAA-SSA-BPNN is proposed....
This study analyzes the economic and environmental performance of OECD countries over 2000–2019. A by-production approach is applied and the efficiency score is decomposed into its economic and environmental components. Unlike...
The rapid development of cross-border e-commerce over the past decade has accelerated the integration of the global economy. At the same time, cross-border e-commerce has increased the prevalence of cybercrime, and the future...
Electronic business relies heatedly on a predictive tool to provide consumers with the products online in a brief moment. E-commerce activities are handled by many buyers globally compared to conventional distribution, and with...
Document classification is a research topic aiming to predict the overall text sentiment polarity with the advent of deep neural networks. Various deep learning algorithms have been employed in the current studies to improve...
Relevance judgment plays an extremely significant role in information retrieval. This study investigates the differences between American users and Chinese users in relevance judgment during the information retrieval process....
Sentiment classification constitutes an important topic in the field of Natural Language Processing, whose main purpose is to extract the sentiment polarity from unstructured texts. The label propagation algorithm, as a...