Modeling the environmental Kuznets Curve: A stochastic approach using economic and climate data.

This research chooses Pakistan as an ideal case to explore the connection between economic expansion and carbon emissions, by incorporating a novel approach of using coupled stochastic equations to estimate this dynamic interaction.The GDP (Gross domestic product) in Pakistan has been ascending over the time of 1960-2023, with short episodes of stagnation (mid 80s) and decline (1973, 2009). Since 2010, the growth rate has been rising annually, reaching 4.

Draft genome sequence of FH1.

Phytopathogens with multi-drug resistance are emerging frequently, resulting in various disease outbreaks. Hence, exploring new antimicrobials is urgent. Here, we present the draft genome sequence of FH1 strain, with the potential to produce various antimicrobial compounds.

Dynamic changes in macrophage polarization during the resolution phase of periodontal disease.

Aim: Polarization of macrophages (Mφ) is a well-controlled axis with considerable consequences in both the pro-inflammatory and resolution phases of inflammation. We aimed to determine if periodontal therapy may instigate M1 to M2 Mφ polarization favoring resolution of inflammation within periodontal tissues.

Methods: Gingival biopsies were excised from subjects diagnosed with Stage III, Grade B periodontitis before and 4-6 weeks after nonsurgical periodontal therapy.

Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach.

This research aims to use the power of geospatial artificial intelligence (GeoAI), employing the categorical boosting (CatBoost) machine learning model in conjunction with two metaheuristic algorithms, the firefly algorithm (CatBoost-FA) and the fruit fly optimization algorithm (CatBoost-FOA), to spatially assess and map noise pollution prone areas in Tehran city, Iran. To spatially model areas susceptible to noise pollution, we established a comprehensive spatial database encompassing data for the annual average Leq (equivalent continuous sound level) from 2019 to 2022. This database was enriched with critical spatial criteria influencing noise pollution, including urban land use, traffic volume, population density, and normalized difference vegetation index (NDVI).