The molecular and histopathological investigations of TLR2 rs5743708 and TLR4 (rs4986790 and rs4986791) polymorphisms effects on cutaneous leishmaniasis lesions.

Cutaneous leishmaniasis (CL), a zoonotic and neglected disease, is prevalent in numerous regions, particularly in tropical and sub-tropical countries. In Iran, endemic foci of leishmaniasis exist in specific regions, with zoonotic cutaneous leishmaniasis (ZCL) caused by Leishmania major being common in most rural areas. Toll-like receptors (TLRs) play a crucial role in both innate and adaptive immunities, and the investigation of TLR2 rs5743708 and TLR4 (rs4986790 and rs4986791) polymorphisms in parasitic diseases can have significant implications for patient treatment.

The Antinociceptive Effects of Combined Treatment With Atorvastatin and Vitamin C in the Chronic Constriction Injury Model of Rats.

Introduction: Neuropathic pain (NP) is caused by damage to the somatosensory system. Nerve damage often results in chronic pain states, including hyperalgesia and allodynia. This study aims to evaluate the anti-nociceptive effects of atorvastatin, vitamin C, and their combination on various laboratory tests in an experimental model NP in rats.

Molecular phylodiagnosis of Echinococcus multilocularis and Echinococcus granulosus among canids in Guilan province, northern Iran.

Canine-transmitted worms and an uncontrolled deworming program of stray dogs have caused that accurate diagnosis of zoonotic parasites received notable attention in endemic regions. This study aimed to assess the presence of E. multilocularis and E.

Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes.

Reliable and comprehensive predictive tools for the frictional pressure drop (FPD) are of particular importance for systems involving two-phase flow condensation. However, the available models are only applicable to specific operating conditions and channel sizes. Thus, this study aims at developing universal models to estimate the FPD during condensation inside smooth mini/micro and conventional (macro) channels.

Experimental study and machine learning modeling of water removal efficiency from crude oil using demulsifier.

This study deals with the investigation of the water removal efficiency (WRE) from crude oil using a commercial demulsifier. The impacts of time, demulsifier concentration, and temperature on WRE were experimentally studied. The results implied the fact that temperature plays a substantial role in the demulsification and has a direct correlation with WRE.