An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection.

Accurate energy demand forecasting is critical for efficient energy management and planning. Recent advancements in computing power and the availability of large datasets have fueled the development of machine learning models. However, selecting the most appropriate features to enhance prediction accuracy and robustness remains a key challenge.

Molecular docking analysis of some medicinal extracts for pro-apoptotic, antiinflammatory and antioxidative activities using HCC cell lines.

We investigated the biological activities of 14 medicinal plants from Saudi Arabia as anti-inflammatory, antioxidant and anti-proliferative properties using hepatocellular carcinoma (HCC) cell lines. Hexane extracts exhibited the maximum inhibitory activities against albumin denaturation compared with those of other solvents. hexane extract showed the highest anti-inflammatory while methanol extract showed significantly high hydroxyl radical scavenging activity ( < 0.

Cyberchondria and its Association with Smartphone Addiction and Electronic Health Literacy among a Saudi Population.

Background: Cyberchondria is a recent phenomenon characterized by the excessive/frequent searching of the internet for health-related information (HRI) that results in concerns/anxiety over health and wellness. Studies have shown an increase in the prevalence of cyberchondria and that it is associated with smartphone addiction and eHealth literacy, but few such studies are available from Saudi Arabia.

Methods: This cross-sectional study included adult Saudis living in Jeddah, Saudi Arabia, and was conducted between May 1 and June 30, 2022.

prevalence, awareness and control in Saudi Arabia.

Background: is a widespread skin protozoan infectious disease. It is an intracellular parasitic microorganism that develops in the body of infected female phlebotomine sandflies vector, prior to its transmission to human or animal host by the vector bite. The objective of this review is to highlight the current prevalence of in the Kingdom of Saudi Arabia, and the direction in research for its control.

NAC transcription factors ATAF1 and ANAC055 affect the heat stress response in Arabidopsis.

Pre-exposing (priming) plants to mild, non-lethal elevated temperature improves their tolerance to a later higher-temperature stress (triggering stimulus), which is of great ecological importance. 'Thermomemory' is maintaining this tolerance for an extended period of time. NAM/ATAF1/2/CUC2 (NAC) proteins are plant-specific transcription factors (TFs) that modulate responses to abiotic stresses, including heat stress (HS).

Calcium-Rich Biochar Stimulates Salt Resistance in Pearl Millet ( L.) Plants by Improving Soil Quality and Enhancing the Antioxidant Defense.

Shrimp waste is rich in organic compounds and essential plant nutrients, e.g., calcium (Ca), and converting these wastes to organic fertilizer is important for environmental preservation and to achieve sustainable agricultural management.

Genetic mapping of the early responses to salt stress in Arabidopsis thaliana.

Salt stress decreases plant growth prior to significant ion accumulation in the shoot. However, the processes underlying this rapid reduction in growth are still unknown. To understand the changes in salt stress responses through time and at multiple physiological levels, examining different plant processes within a single set-up is required.

Overexpression of the NAC transcription factor JUNGBRUNNEN1 (JUB1) increases salinity tolerance in tomato.

Soil salinity is a major abiotic stress affecting plant growth and yield, due to both osmotic and ionic stresses. JUBGBRUNNEN1 (JUB1) is a NAC family transcription factor that has been shown to be involved in responses to abiotic stresses, such as water deficit, osmotic, salinity, heat and oxidative stress. In Arabidopsis thaliana (Arabidopsis), JUB1 has been shown to improve plant stress tolerance by regulating HO levels.

Incidence and determinants of severity of unintentional injuries among students of private schools in Dubai: a cross-sectional study.

A cross-sectional study was performed on a student population in grades 7-12 in 10 private schools in Dubai in the academic year 2012/13. The study was in two phases. The first was used to estimate incidence rate of injuries, where the total injuries that took place in the schools in 2012 was divided by the total student population in the studied schools in the same year multiplied by 1000.