An Eco-Friendly Approach Utilizing Green Synthesized Titanium Dioxide Nanoparticles for Leather Conservation against a Fungal Strain, AL1, Involved in the Biodeterioration of a Historical Manuscript.

The main hypothesis of the present research is investigating the efficacy of titanium oxide nanoparticles (TiO-NPs) to prevent the growth of fungal strains when applied on leather under an experimental study. Therefore, fifteen fungal strains were isolated from a deteriorated historical manuscript (papers and leathers) and identified by traditional methods and ITS sequence analysis, including (one isolate), (two strains), (four strains), (one strain), (one strain), (two strains), (two strains), and (two strains). The enzymes cellulase, amylase, pectinase, and gelatinase, which play a crucial role in biodegradation, were highly active in these fungal strains.

Efficacy of ultraviolet B radiation versus vitamin D on postural control and cognitive functions in relapsing-remitting multiple sclerosis: A randomized controlled study.

Background: The relapsing-remitting multiple sclerosis (RRMS) is the most common type of MS with prevalence rate 20-60 patients/100.000 individuals in Egypt. Poor postural control and cognitive dysfunctions are well-established complications of RRMS without potent remedy yet.

Antifungal Activity of Cell-Free Filtrate of Probiotic Bacteria ATCC-7469 against Fungal Strains Isolated from a Historical Manuscript.

Herein, twelve fungal strains were isolated from a deteriorated historical manuscript dated back to the 18th century. The obtained fungal strains were identified, using the traditional method and ITS sequence analysis, as (two strains), (five strains), (one strain), (two strains), (one strain), and (one strain). The ability of these fungal strains to degrade the main components of the paper was investigated by their activity to secrete extracellular enzymes including cellulase, amylase, gelatinase, and pectinase.

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics.

To completely comprehend neurodevelopment in healthy and congenitally abnormal fetuses, quantitative analysis of the human fetal brain is essential. This analysis requires the use of automatic multi-tissue fetal brain segmentation techniques. This paper proposes an end-to-end automatic yet effective method for a multi-tissue fetal brain segmentation model called IRMMNET.