Role of Polyphenols on Gut Microbiota and the Ubiquitin-Proteasome System in Neurodegenerative Diseases.

Today, neurodegenerative diseases have become a remarkable public health challenge due to their direct relation with aging. Accordingly, understanding the molecular and cellular mechanisms occurring in the pathogenesis of them is essential. Both protein aggregations as a result of the ubiquitin-proteasome system (UPS) inefficiency and gut microbiota alternation are the main pathogenic hallmarks.

Ubiquitin-proteasome system and the role of its inhibitors in cancer therapy.

Despite all the other cells that have the potential to prevent cancer development and metastasis through tumour suppressor proteins, cancer cells can upregulate the ubiquitin-proteasome system (UPS) by which they can degrade tumour suppressor proteins and avoid apoptosis. This system plays an extensive role in cell regulation organized in two steps. Each step has an important role in controlling cancer.

Why does COVID-19 pathology have several clinical forms?

The outbreak of a new, potentially fatal virus, SARS-COV-2, which started in December 2019 in Wuhan, China, and since developed into a pandemic has stimulated research for an effective treatment and vaccine. For this research to be successful, it is necessary to understand the pathology of the virus. So far, we know that this virus can harm different organs of the body.

Content Validity of the Comprehensive ICF Core Set for Children with Cerebral Palsy Aged 0-6 Years: Iranian Occupational Therapists Perspective.

Objectives: Comprehensive ICF Core Set of cerebral palsy (CP) includes a set of functions of children with CP has been created recently. This study determined the content validity of this version based on Iranian Occupational Therapists' perspectives to explore whether the ICF Core Sets for CP include the areas of function of CP in Occupational Therapy practice.

Materials & Methods: This qualitative study conducted from Feb 2015 to Apr 2016 in Tehran, Iran.

A Bayesian Approach for Sensor Optimisation in Impact Identification.

This paper presents a Bayesian approach for optimizing the position of sensors aimed at impact identification in composite structures under operational conditions. The uncertainty in the sensor data has been represented by statistical distributions of the recorded signals. An optimisation strategy based on the genetic algorithm is proposed to find the best sensor combination aimed at locating impacts on composite structures.