Suppose that G is a simple undirected connected graph.Denote by D ( G ) the distance matrix of G and by T r ( G ) the diagonal matrix of the vertex transmissions in G, and let α ∈ [ 0 , 1 ].The generalized distance matrix D α ( G ) is defined as D α ( G ) = α T r ( G ) + ( 1 − α ) D ( G ) , where 0 ≤ α
Allele-specific methylation in the FADS genomic region in DNA from human saliva, CD4+ cells, and total leukocytes
Abstract Background Genetic variants within the fatty acid desaturase Button Lever (FADS) gene cluster (human Chr11) are important regulators of long-chain (LC) polyunsaturated fatty acid (PUFA) biosynthesis in the liver and consequently have been associated with circulating LC-PUFA levels.More recently, epigenetic modifications such as DNA methyla
Legal Protection for Misuse of Television Station Logo Without Permission in Tiktok Social Media
This writing aims to find out the form of legal protection against misuse of the logo without permission and to find out the legal consequences for content creators on TikTok social media who misuse the logo.This research can provide information to content creators and the public to protect logos and to find out the legal consequences for parties w
Influential Social Workers: A Preliminary Exploration of Social Work Faculty
The profession of social work in the U.S.has been influenced and is being influenced by a wide-range of advocates, politicians, practitioners, and Bowls educators.This paper is a preliminary attempt to systematically examine who social work faculty consider influential in Day Cream shaping the field.Identifying influential social workers is an impo
Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data
Object-based image analysis (OBIA) has been widely used for land use and land cover (LULC) mapping using optical and synthetic aperture radar (SAR) images because it can utilize spatial information, reduce the effect of salt and pepper, and delineate LULC boundaries.With recent advances in machine learning, convolutional neural networks (CNNs) have