Application of Monte Carlo simulation and artificial neural network model to probabilistic health risk assessment in fluoride-endemic areas.

Groundwater contamination with fluoride is a considerable public health concern that affects millions of people worldwide. The rapid growth of urbanization has led to increase in groundwater contamination. The health risk assessment focuses on both acute and chronic health consequences as it investigates the extent and effects of fluoride exposure through contaminated groundwater.

Economic burden of Type 2 diabetes in Iran in 2022.

Background: Diabetes mellitus, particularly Type 2 diabetes (T2D), represents a significant global health challenge, with its prevalence steadily rising over the past few decades. This study was conducted with the aim of estimating the economic burden of T2D in Iran.

Methods: This study employed a prevalence-based approach to estimate the economic burden of T2D and its attributable complications in adults above 20 years old in Iran for 2022.

Genetic analysis and association detection of agronomic traits in maize genotypes.

In maize breeding, enhancing yield through genetic insights is crucial yet challenged by the complex interplay of agronomic traits. This study utilized a diallel mating design involving nine advanced early maize lines to dissect the genetic architecture underlying key agronomic traits and their impact on yield. Over two consecutive years (2018-2019 and 2019-2020), 36 hybrids derived from these lines were grown across two locations, Karaj, Alborz, Iran and Kermanshah (2019-2020), Iran, in a randomized complete block design with three replications.

Climate-driven distribution shifts of Iranian amphibians and identification of refugia and hotspots for effective conservation.

This study investigates the potential impacts of climate change on the distribution of Iranian amphibian species and identifies refugia and biodiversity hotspots to inform effective conservation strategies. The study employed ensemble species distribution models to assess the impacts of climate change on 19 Iranian amphibian species. We analyzed future scenarios (2041-2060 & 2081-2100) under a high-emission pathway to identify potential range shifts and refugia (areas with stable or newly suitable climate).

Molecular Diagnosis of Endosymbiont in -Positive Samples in Laboratory Conditions and in the Hospital Environments.

Background: We aimed to identity endosymbiont in -positive samples in natural and laboratory conditions.

Methods: Overall, 134 samples were collected from hospital environments. Microscopic and PCR test were used for detection of and The real-time PCR method was used to check the active presence of within under natural conditions from hospital samples and in co-culture laboratory conditions.