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Incorporating I Ching Knowledge Into Prediction Task via Data Mining
Many real-world applications require prediction that takes the most advantage of data. Classic data mining mechanisms tend to feed a prediction model pivotal data to achieve a promising result, which needs to be adjusted in...
A Role for RAS in V-CRK Transformation
Heidi Greulich
Jan 01, 0001
The v-Crk oncogene product, while possessing no intrinsic tyrosine kinase activity, causes an elevation in levels of cellular phosphotyrosine as it transforms chicken embryo fibroblasts (CEF). Because of this similarity to v-Src...
Published by: Rockefeller University
Molecular Cloning of Avian Sarcoma Virus CT10 and Characterization of its Protein Product
Bruce J Mayer
Jan 01, 0001
Four previously uncharacterized avian sarcoma viruses were screened and two of these, RPL30 and CTIO, were found to encode apparently novel oncogenes. Biologically active CTIO DNA was molecularly cloned and the nucleotide...
Published by: Rockefeller University
Exploring the Biophysical Properties of Domains Within Multi-Domain Proteins
Vasant Muralidharan
Jan 01, 0001
The past few decades, considerable progress has been made in understanding the biophysical properties of proteins using small modular domains such as SH3 domains. However, there is a surprising lack of knowledge regarding how...
Published by: Rockefeller University
Optimal pairs trading with dynamic mean-variance objective
AbstractPairs trading is a typical example of a convergence trading strategy. Investors buy relatively under-priced assets simultaneously, and sell relatively over-priced assets to exploit...
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Conditional Protein Alleles and Regulation of Bacterial Transcription: A Thesis in Two Acts
Edmund Ching Schwartz
Jan 01, 0001
The use of small molecule modulators of protein function (drugs) has gained in popularity due to the speed and precision with which they can work. Unfortunately, a small molecule with the required specificity and potency is not...
Published by: Rockefeller University
Intelligent and Interactive Chatbot Based on the Recommendation Mechanism to Reach Personalized Learning
With the impacts of Covid-19 epidemic, e-learning has become a popular research issue. Therefore, how to upgrade the interactivity of e-learning, and allow learners to quickly access personalized and popular learning information...
Three Cities on YouTube
Local governments are enhancing their governance through various information communication technologies (ICTs). This article presents an exploratory case study of three municipalities within the United States, examining how each...
On the Construction and Application of a Platform-Based Corpus in Tourism Translation Teaching
Current studies indicate that corpus-aided translation teaching may greatly improve teaching efficiency and better fulfill the stated teaching aim. On the basis of those findings, this research looks into the design and...
From Learning Literature to Online Holistic Education
This study utilizes the literature education section of an online holistic environment to: (1) develop a literature education survey based on Miller’s (2007) theory of holistic education, (2) explore the effect of students’...
Use of Digital Finance Platforms for Personal Finance Management in Rural China
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...
E-Learning Teaching System in Augmentative and Alternative Communication Using Big Data Analytics
The key barriers to children with special needs to contact individuals are to sustain them alertly and efficiently for learning languages. As the first step for students with disabilities is language development. The report...
Artificial intelligence and machine learning in mobile apps for mental health
Mental health conditions can have significant negative impacts on wellbeing and healthcare systems. Despite their high prevalence worldwide, there is still insufficient recognition and accessible treatments. Many mobile apps are...
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Knowledge Fusion Based on Cloud Computing Environment for Long-Term Care
Globally, aging is now a societal trend and challenge in many developed and developing countries. A key medical strategy that a fast-paced aging society must consider is the provision of quality long-term care (LTC) services....
Artificial intelligence and machine learning in mobile apps for mental health
Mental health conditions can have significant negative impacts on wellbeing and healthcare systems. Despite their high prevalence worldwide, there is still insufficient recognition and accessible treatments. Many mobile apps are...
Published by: PLOS digital health
Voluntary policies on checkout foods and healthfulness of foods displayed at, or near, supermarket checkout areas
OBJECTIVE: To determine if voluntary policies on supermarket checkout foods are associated with a difference in the healthfulness of foods displayed at, or near, supermarket checkout areas. DESIGN: Cross-sectional survey of...
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