Article asserts that social entrepreneurship continues to grow as an impactful phenomenon in the world and as a rich stream of research. This special issue thus offers insights for researchers, policymakers, educators, and entrepreneurs about how to sustain impactful social/environmental activities over time.

Presentation discussing the disproportionality in special education programs, which is the over or under representation of a specific group or population identified with a disability or placed in special education in comparison to the actual number of students, and it provides some actionable solutions. It was presented at the 11th annual Jalisco-Texas Conference which was held virtually on March 30-31, 2023.

Article is a correction to an error in the original publication. The enzymatic step catalyzed by oxophytodienoic acid reductase 3 was misstated. A correction has been made to Section 2. Results and Discussion, Subsection 2.13. Lipids of Plants with Mutations in Lipid-Related Genes, Paragraph 1.

Presentation on a study that sought the voice of the bilingual teacher through their lived experiences in relation to the success of Hispanic emergent bilinguals in school. This inquiry sought to uncover what practices bilingual teachers use to support their students’ academic and socio-emotional needs. It was presented at the 11th annual Jalisco-Texas Conference which was held virtually on March 30-31, 2023.

Article asserts that plastic packaging dominates the US grocery industry, which raises the question of whether consumers are purchasing food that is not wrapped in conventional plastic but environmentally friendly packaging. Through their study, the authors hope that their findings provide marketers with fresh insights into the characteristics of consumers willing to purchase grocery items packaged in environmentally friendly materials.

Article asserts that the nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. The authors developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequence-based features used by existing NR prediction tools, six additional feature groups depicting various physiochemical, structural, and evolutionary features of proteins were utilized.

Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.

Article describes how the purpose of the author's mixed-methods study was to use social cognitive theory to explore how students in an online Doctor of Education program experience becoming academic writer and to examine trends in students' belonging and writing self-efficacy. This explanatory sequential design study included quantitative data collection via an electronic survey followed by individual and focus group interviews with participants.

Article describes how Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers (PLC), play a crucial role in managing and regulating industrial processes. This article presents an overview of ICS security, covering its components, protocols, industrial applications, and performance aspects.

Article describes how phase-specific damage tolerance was investigated for the AlCoCrFeNi2.1 high entropy alloy with a lamellar microstructure of L12 and B2 phases. Distinct differences in micro-scale deformation mechanisms were reflected in post-compression fractography, with L12-phase cantilevers showing typical characteristics of ductile failure, including the activation of multiple slip lanes, shear lips at the notch edge, and tearing inside the notch versus quasi-cleavage fracture with cleavage facets and a river pattern on the fracture surface for the B2-phase cantilevers.

Article describes how Aerosol Optical Depth (AOD)is a crucial atmospheric parameter in comprehending climate change, air quality, and its impacts on human health. This study presents a new solution to this challenge by providing a long-term, gapless satellite-derived AOD dataset for Texas from 2010 to 2022, utilizing Moderate Resolution Imaging Spectroradiometer (MODIS) multi-angle implementation of atmospheric correction (MAIAC) products.