The purpose of this study was to investigate preservice science teachers' proficiency levels regarding their practical knowledge of technological pedagogical content knowledge (TPACK-P). A sample of 103 third- and fourth-year...
Since the explosive growth of we-medias today, personalized recommendation is playing an increasingly important role to help users to find their target articles in vast amounts of data. Deep learning, on the other hand, has...
In order to solve the problems of high cost and difficult management of traditional agricultural planting, internet of things (IoT) technology was applied to realize real-time detection and intelligent management of crop growth...
Empirical studies have shown that China's Air Pollution Prevention and Control Law (APPCL2000), as an environmental regulation, has significantly alleviated the air pollution problem and improved the TFP of air polluting...
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 summary, firstly, a method for establishing a portfolio model is proposed based on the risk management theory of the financial market. Then, a prediction model for CVaR is established based on the convolutional neural...
The multimodal presentation of humour on digitalized networking platforms such as smart phones and live streaming has undoubtedly increased its degree of difficulty to translate. Humour translation in the age of multimedia is...
To understand the water balance and environmental effects under climate change condition, hydrological models are always used to simulate the hydrological cycle and predict future scenarios by using global climate models (GCMs)...
Based on the deep learning (DL) theory, the study takes the multinational corporation technology company A as the research target, and explores the impact of information technology (IT) management capabilities on the sustainable...
With the increasing demand on smart agriculture, the effective growth of a plant and increase its productivity are essential. To increase the yield and productivity, monitoring of a plant during its growth till its harvesting is...
The purpose of this paper is to investigate the influential factors of online social network advertising in three different cultural areas, being China, India, and the US. This study uses the Social Capital Theory (SCT), and...
To solve the dilemma between the increasing demand for cross-border e-commerce talents and incompatible students’ skill level, Industry-University-Research cooperation, as an essential pillar for inter-disciplinary talent...
The segmentation of MRI brain tumors utilizes computer technology to segment and label tumors and normal tissues automatically on multimodal brain images, which plays an important role in disease diagnosis, treatment planning...
This paper constructs an online community organizational double-layer learning structure model based on exploration-exploitation models. In this way, the authors examine the effect how double-layer online community learning as...
Green supply chain management means integrating environmental awareness into supply chain management, including product design, raw material acquisition and selection, the manufacturing process, the distribution of final...
A quantitative study involving Mainland China (the PRC), Taiwan, India, the UAE, and the US, five areas with 852 responses of IT/IS personnel data towards building a more suitable Circumplex Career Anchor Model for IT/IS...
The study aims to investigate how pre-editing based on controlled Chinese rules can be an effective approach to improving Chinese-to-English machine translation (MT) output. Based on the analysis of comparable texts, and by...
Agriculture is transforming from traditional agriculture to smart agriculture. To realize the intelligent, precise, and scientific management of agricultural production, it is necessary to conduct real-time, accurate, and...
In this paper, Artificial Intelligence assisted rule-based confidence metric (AI-CRBM) framework has been introduced for analyzing environmental governance expense prediction reform. A metric method is to assess a level of...
Enterprise financial risks are analyzed utilizing the theory of organizational behavior, and a financial risk management system is constructed to improve the design and algorithm of the enterprise risk management system. Base on...
Most recommender systems usually combine several recommendation methods to enhance the recommendation accuracy. Collaborative filtering (CF) is a best-known personalized recommendation technique. While temporal association...
This paper examines citizen satisfaction levels with local government contracted mobile platforms and applies two theories of the contracting relationship to them: principal-agent and stewardship theory. It uses survey data to...
Resource utilization not only meets the needs of economic development, but also has a far-reaching negative impact on the environment. Environmental regulation is regarded as the key measure to solve environmental pollution....
Customers' concerns about inappropriate use of personal information can create potential threats that jeopardize the proliferation of emerging markets. This study aims at investigating how the adaptive and maladaptive responses...
The micro-task crowdsourcing marketplace, as a novel platform, has provided firms with a new way to recruit employees at a reasonable cost and with a fast turnaround. This research explores how different types of motivations...