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Results: 20
Bio-dispersant produced by a Rhodococcus erythropolis mutant as an oil spill response
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...
Biosurfactant Production by Rhodococcus Erythropolis Sp. SB-1A Isolated from North Atlantic Ocean
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...
Correlation of University Lecturer Leadership Styles, Students Satisfaction, and Learning Outcomes During the COVID-19 Pandemic
Wenwen Cao
Jan 01, 2022
Online English teaching has become more important in China during the COVID-19 pandemic, researchers begin to focus on the research of university lecturers’ online leadership styles in helping improve students’ English learning....
Published by: IGI Global
Citrus Huanglongbing Recognition Algorithm Based on CKMOPSO
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...
Published by: IGI Global
Empirical Study on the Influencing Factors of WeChat Business Integrity
With the increasing popularity of the smart phones and electronic payment, WeChat shopping has become a trendy lifestyle for many people. However, the issue of WeChat business integrity has gradually appeared due to the...
Published by: IGI Global
An Intra-Prediction Mode-Based Video Steganography With Secure Strategy
In this paper, an intra-prediction mode (IPM)-based video steganography with secure strategy was proposed for H.264 video stream. First of all, according to the property of IPM conversion after calibration, a content-adaptive...
Published by: IGI Global
Intrusion Detection Model Using Temporal Convolutional Network Blend Into Attention Mechanism
In order to improve the ability to detect network attacks, traditional intrusion detection models often used convolutional neural networks to encode spatial information or recurrent neural networks to obtain temporal features of...
Published by: IGI Global
Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service
The Mobile Chronic Disease Management Service (MCDMS) is an emerging medical service for chronic disease prevention and treatment, but limited attention has been paid to the factors that affect users’ intention to adopt the...
Published by: IGI Global
A Novel Approach to Distributed Rule Matching and Multiple Firing Based on MapReduce
In order to solve the poor performance problem of massive rules reasoning, as well as the inconsistency problem of working memory in distributed rule matching, this article presents the formal definition of interference...
Published by: IGI Global
Selecting Mobile Services in Cloud and Edge Environment by Moth-Flame Optimization Algorithm
Mobile edge computing is playing an increasingly important role in the rise of mobile internet technology. Services deployed on edge servers nearby mobile users would provide computing capabilities with low latency and high...
Published by: IGI Global
Recommendation of Healthcare Services Based on an Embedded User Profile Model
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...
Published by: IGI Global
Application of Smart Grid Communication Service Flow Modeling Based on Poisson Model in Grid Operation
The early Poisson distribution and Markov autoregressive models can no longer reflect the characteristics of smart grid business flow. The long correlation characteristics of burst flow are simulated by the heavy tail ON/OFF...
Published by: IGI Global
The Tele-Reference Model
At the University of Central Florida Libraries, a new alternative to traditional reference service was adopted during the COVID-19 pandemic as a remote solution for safely staffing the Research and Information Desk (RAID) at the...
Published by: IGI Global
A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU
Short text classification is a research focus for natural language processing (NLP), which is widely used in news classification, sentiment analysis, mail filtering and other fields. In recent years, deep learning techniques are...
Published by: IGI Global
Design a Wireless Covert Channel Based on Dither Analog Chaotic Code
To conceal the very existence of communication, the noise-based wireless covert channel modulates secret messages into artificial noise, which is added to the normal wireless signal. Although the state-of-the-art work based on...
Published by: IGI Global
Market Competition and Economic Effects of Government Policies
By utilizing systems methodology and thinking logic, this paper derives a general theorem to characterize when and how a market signals for additional competition from market players. Then, it establishes conditions for when...
Published by: IGI Global
Towards Smart Transportation System
Smart transportation system is a cross-field research topic that involves both the organizations that manage the large-scaled system and individual end-users who enjoy these services. Recent advancement of machine learning-based...
Published by: IGI Global
Research Review on the Application of Homomorphic Encryption in Database Privacy Protection
With the advent and development of database applications such as big data and data mining, how to ensure the availability of data without revealing sensitive information has been a significant problem for database privacy...
Published by: IGI Global
Chinese Named Entity Recognition Method Combining ALBERT and a Local Adversarial Training and Adding Attention Mechanism
For Chinese NER tasks, there is very little annotation data available. To increase the dataset, improve the accuracy of Chinese NER task, and improve the model's stability, the authors propose a method to add local adversarial...
Published by: IGI Global
Research of Self-Attention in Image Segmentation
Although the traditional convolutional neural network is applied to image segmentation successfully, it has some limitations. That's the context information of the long-range on the image is not well captured. With the success...
Published by: IGI Global