Elucidating the pathogenicity of Metarhizium to Euschistus heros (Hemiptera: Pentatomidae) eggs.

The ovicidal effect of entomopathogenic fungi and the mechanisms involved are still debated. The hypothesis that the metabolic activity of germinating conidia can cause insect embryos to become unviable without physical penetration has been proposed. Here, we demonstrated that Metarhizium anisopliae and Metarhizium pingshaense, differently from Beauveria bassiana, reduced the percentage of nymphs hatching to less than 3%.

Primary Visceral Ewing Sarcoma (Gastric and Bladder) with KIT Expression: A Report of Two Patients and a Differential Diagnostic Approach.

Extra-skeletal Ewing sarcoma is a rare tumor, most commonly occurring in the paravertebral region, extremities, retroperitoneum, and very rarely in visceral locations. We present two primary visceral Ewing sarcomas confirmed at the molecular level: one located in the stomach and the other in the bladder. Both tumors demonstrated strong and diffuse membranous CD99 expression, accompanied by variable KIT immunoreactivity.

Association between phase angle and daily creatinine excretion changes in critically ill patients: an approach to muscle mass.

Assessing muscle mass in critically ill patients remains challenging. This retrospective cohort study explores the potential of phase angle (PA°) derived from bioelectrical impedance analysis (BIA) as a surrogate marker for muscle mass monitoring by associating it with daily creatinine excretion (DCE), a structural and metabolic muscle mass marker. In 20 ICU patients, we observed a linear relationship between PA° and DCE at initial (S1) and follow-up (S2) points, with Rho values of 0.

Multicenter Study of the Impact of COVID-19 in Type 2 Diabetes Quality Management.

Background: Epidemics and pandemics have been shown to have widespread effects on health systems. Diabetes is a condition of particular risk during national emergencies such as the COVID-19 pandemic. The aim of this study is to determine the influence of COVID-19 in the patient's diabetes quality management.

A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine.

With rising demand for electricity, integrating renewable energy sources into power networks has become a key challenge. The fast incorporation of clean energy sources, particularly solar and wind power, into the existing power grid in the last several years has raised a major problem in controlling and managing the power grid due to the intermittent nature of these sources. Therefore, in order to ensure the safe RES integration providing high-quality power at a fair price and for the secure and reliable functioning of electrical systems, a precise one-day-ahead solar irradiation and wind speed forecast is essential for a stable and safe hybrid energy system.