Architecture of the lung: morphology and function.

A Framework for Urban Morphology with Respect to the Form

Urban Morphology and Energy Performances: Investigating the Impacts of Urban Openness Factor on Theoretical Energy Demand, Case Study: Isfahan Urban Morphological Types

Do Statins Improve Lung Function in Asthmatic Patients? A Randomized and Double-Blind Trial

      There are evidences that statins have anti-inflammatory effects beyond their cholesterol lowering properties. The study was conducted to assess the effects of atorvastatin on asthma as an inflammatory disease. Patients with moderate to severe asthma were entered this randomized, double blind, crossover clinical trial. The impact of oral atorvastatin (10 mg/day) on the lung function of nor...

he impacts of wind variability function on urban heat island Case study: Karaj city, Iran

This paper examines the utility of the air pollution Model (TAPM) in simulating meteorology and dispersion of PM10 and wind data in order to assess The Impacts of Wind Variability Function on Urban Heat Island for the day of 25, November, 2012 in Karaj city that experienced severe degradation in air quality. Drawing, Skew-T diagrams, maps of surface pressure (500hp), omega (850hp) and atmosp...

Reduced Lung Function and Progression to Prediabetes: A Prospective Study

Objective: Prediabetes is a state that people have blood glucose levels higher than normal but still not in diabetes range. There is a close relationship between impaired lung function and diabetes mellitus (DM). Reduced lung function can be present before the clinical evidence of diabetes or insulin resistance. Materials and Methods: The total number of subjects in this longitudinal study was ...

Detection of lung cancer using CT images based on novel PSO clustering

Lung cancer is one of the most dangerous diseases that cause a large number of deaths. Early detection and analysis can be very helpful for successful treatment. Image segmentation plays a key role in the early detection and diagnosis of lung cancer. K-means algorithm and classic PSO clustering are the most common methods for segmentation that have poor outputs. In t...