Positive Family Environment, General Distress, Subjective Well-Being, and Academic Engagement among High School Students Before and During the COVID-19 Outbreak.

The COVID-19 pandemic has altered the family dynamics of most people worldwide as well as the mode in which students take classes. The impact of such changes on students' well-being, academic engagement, and general distress remains unknown. Therefore, this study aims to test the structural relations among positive family environment (a measure of Positive Home-Based Parent Involvement [HBI]), subjective well-being (SWB), general distress, and academic engagement, focusing on Mexican high school students.

Antiproliferative activity of H. Karst.

Background: is a tree that grows in Central America, commonly known as "Palo de Brasil," which is used in the traditional medicine for the treatment of cancer and gastric ulcers.

Objective: The aim of this study was to isolate the compounds responsible for antiproliferative activity of .

Materials And Methods: A bioassay-guided fractionation of ethanol extract of was performed using 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide cell proliferation assay to measure the antiproliferative activity on six human cancer cell lines (A549, LS180, HeLa, SiHa, MDA-MB-231, and NCI-H1299) and one human noncancer cell line (ARPE-19).

Analysis of copy number variations in Mexican Holstein cattle using axiom genome-wide Bos 1 array.

Recently, for copy number variation (CNV) analysis, bovine researchers have focused mainly on the use of genome-wide SNP genotyping arrays. One of the highest densities commercially available SNPchips for cattle is the Affymetrix axiom genome-wide Bos 1, which assays 648,315 informative SNPs across the whole bovine genome. Here, we describe the microarray data, quality controls and validation implemented in a study published in Genetics and Molecular Research Journal in 2015 [1].

Genome-wide identification of copy number variations in Holstein cattle from Baja California, Mexico, using high-density SNP genotyping arrays.

Copy number variations (CNVs) are an important source of genomic structural variation, and can be used as markers to investigate phenotypic and economic traits. CNVs also have functional effects on gene expression and can contribute to disease susceptibility in mammals. Currently, single nucleotide polymorphism genotyping arrays (SNP chips) are the technology of choice for identifying CNV variations.