Relationship between Weather Components in Polluted Days and the Number Of Hospitalization Due to Cardiovascular Diseases

Aims: Air is the combination of atmospheric components or physical conditions of the current atmosphere in a certain place and a certain time. The aim of this study was to assess the relationship between weather components, air atmospheric pollutants and the number of individuals that were hospitalized due to cardiovascular diseases in polluted days. Instrument & Methods: In this descriptive study during 2010 to 2013, the weather parameters in ground and upper levels of Isfahan City, Iran, weather stations were studied and air quality data were collected from 11 different points of the city. The number of cardiovascular patient that were hospitalized was determined by collecting the data of medical record department of 3 hospitals of Isfahan City, Iran; Shahid Chamran, Al-Zahra, and Ali-Asghar. Data were analyzed by SPSS 19 software using Pearson correlation. Findings: There were significant correlations between the number of hospitalizations and minimum temperature (r=0.943; p=0.0001), maximum temperature (r=0.973; p=0.0001), average temperature (r=-0.069; p=0.013), rainfall (r=-0.326; p=0.0001), humidity (r=-0.326; p=0.0001), air pressure (r=0.257; p=0.0001), and wind speed (r=-0.011; p=0.021). There was a significant difference between the average numbers of hospitalizations due to cardiovascular diseases according to the range of AQI. Regarding the air pollutant parameters, the only significant relation was observed for PM10 (p=0.004) and other factors showed no significant relation (p<0.05) to the numbers of hospitalizations. Conclusion: The number of hospitalizations due to cardiovascular diseases is just affected by the PM10 factor of air pollution

Designing a new mathematical model based on ABC analysis for inventory control problem: A real case study

In modern business today, organizations that hold large numbers of inventory items, do not find it economical to make policies for the management of individual inventory items. Managers, thus, need to classify these items according to their importance and fit each item to a certain asset class. The method of grouping and inventory control available in traditional ABC has several disadvantages. These shortcomings have led to the development of an optimization model in the present study to improve the grouping and inventory control decisions in ABC. Moreover, it simultaneously optimizes the existing business relationships among revenue, investment in inventory and customer satisfaction (through service levels) as well as a company's budget for inventory costs. In this paper, a mathematical model is presented to classify inventory items, taking into account significant profit and cost reduction indices. The model has an objective function to maximize the net profit of items in stock. Limitations such as budget even inventory shortages are taken into account too. The mathematical model is solved by the Benders decomposition and the Lagrange relaxation algorithms. Then, the results of the two solutions are compared. The TOPSIS technique and statistical tests are used to evaluate and compare the proposed solutions with one another and to choose the best one. Subsequently, several sensitivity analyses are performed on the model, which helps inventory control managers determine the effect of inventory management costs on optimal decision making and item grouping. Finally, according to the results of evaluating the efficiency of the proposed model and the solution method, a real-world case study is conducted on the ceramic tile industry. Based on the proposed approach, several managerial perspectives are gained on optimal inventory grouping and item control strategies

Predictive factors of short-term survival from acute myocardial infarction in early and late patients in Isfahan and Najafabad, Iran

Background: Cardiovascular disease (CVD) is the primary cause of mortality in the world and Iran. The aim of this study was to determine the prognostic factors of short-term survival from acute myocardial infarction (AMI) in early and late patients in the Najafabad and Isfahan County, Iran. Methods: This hospital-based cohort study was conducted using the hospital registry of 1999-2009 in Iran. All patients (n = 14426) with an AMI referred to hospitals of Isfahan and Najafabad were investigated. To determine prognostic factors of short-term (28-days) survival in early and late patients, unadjusted and adjusted hazard ratio (HR) was calculated using univariate and multivariate Cox regression. Results: The short-term (28-day) survival rate of early and late patients was 96.6 and 89.4 (P < 0.001), respectively. In 80.0 of early and 79.3 of late patients, mortality occurred during the first 7 days of disease occurrence. HR of death was higher in women in the two groups; it was 1.97 in early patients was confidence interval (CI) 95%: 1.32-2.92 and 1.35 in late patients (CI 95%: 1.19-1.53) compared to men. HR of death had a rising trend with the increasing of age in the two groups. Conclusion: Short-term survival rate was higher in early patients than in late patients. In addition, case fatality rate (CFR) of AMI in women was higher than in men. In both groups, sex, age, an atomic location of myocardial infarction based on the International Classification of Disease, Revision 10 (ICD10), cardiac enzymes, and clinical symptoms were significant predictors of survival in early and late patients following AMI. © 2016, Isfahan University of Medical Sciences(IUMS). All rights reserved

Inverse-perovskites A3BO (A = Sr, Ca, Eu/B = Pb, Sn) : a platform for control of Dirac and Weyl fermions

This work was partly supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (Grant Nos. 24224010, 15K13523, JP15H05852, JP15K21717, and 17H01140), EPSRC (Grant No. EP/P024564/1), and the Alexander von Humboldt FoundationBulk Dirac electron systems have attracted strong interest for their unique magnetoelectric properties as well as their close relation to topological (crystalline) insulators. Recently, the focus has been shifting toward the role of magnetism in stabilizing Weyl fermions as well as chiral surface states in such materials. While a number of nonmagnetic systems are well known, experimental realizations of magnetic analogs are a key focus of current studies. Here, we report on the physical properties of a large family of inverse perovskites A3BO (A = Sr, Ca, Eu/B = Pb, Sn) in which we are able to not only stabilize 3D Dirac electrons at the Fermi energy but also chemically control their properties. In particular, it is possible to introduce a controllable Dirac gap, change the Fermi velocity, tune the anisotropy of the Dirac dispersion, and—crucially—introduce complex magnetism into the system. This family of compounds therefore opens up unique possibilities for the chemical control and systematic investigation of the fascinating properties of such topological semimetals.Publisher PDFPeer reviewe