Spatial and temporal monitoring of wildfires in Golestan province using remote sensing data

Wildfires are one of the most significant factors of ecosystem change. Knowing the wildfire regime (frequency, intensity, and distribution pattern) is essential in wildfire management. This research aims to analyze the spatiotemporal pattern of wildfires in Golestan in 2001-2021 using MODIS data, burned area product (MCD64A1). For this purpose, the annual and monthly frequency, as well as the trend of wildfires based on types of forest, pasture, and crop cover, were statistically analyzed. The local Moran pattern analysis method and kernel density function were used to analyze the spatial dynamics of wildfire. The results showed that 18,462 wildfires occurred in Golestan, the highest of which was in 2010, with 2,517 wildfires (13.8%). The lowest number of wildfires, with only 57 events (0.5%), was in 2001. Based on the local Moran model results and the kernel density function, the wildfires' extent and intensity were greater in the plains and foothills to the south and southeast of Golestan. The lowest extent and intensity of the wildfire corresponded to the eastern parts of the province. The frequency of wildfires was higher in the hot period of the year (spring and summer). However, the period of occurrence of wildfire and the peak of wildfire changes in different uses. The wildfire zones in June were wider and more intense than in other months. The frequency and spatial extent of wildfires in agricultural lands from May to July, pasture lands in July, August, and September, and forest lands in November and December were more than in other months. Weather conditions play a significant role in the occurrence of wildfire in the forest lands of Golestan. The results of this research help understand wildfire risk areas and provide a scientific basis for predicting and controlling wildfires and reducing carbon emissions related to them

Analysis, modeling and optimization of regional development in Sistan & Balochestan combining labor market, shift-share and genetic algorithm models

The present paper aims to analyze, model and optimize regional development of rural and urban areas of Sistan & Balochestan, separately. The relationship between employment changes and growth rate of economic sections has been modeled and numbers of jobs required for providing optimum growth rate have been obtained. This paper indicates that considering the average census of five decades (1956-2006) the situation of labor market and growth rate of economic sections in urban areas are bad and worse in rural areas so that there is need to increase employment considerably in order to achieve minimum economic growth rate ( 1% growth)

Management Science Letters Analysis, modeling and optimization of regional development in Sistan & Balochestan combining labor market, shift-share and genetic algorithm models Keywords: Modeling Optimization Regional development Labor market model Shift-S

The present paper aims to analyze, model and optimize regional development of rural and urban areas of Sistan & Balochestan, separately. The relationship between employment changes and growth rate of economic sections has been modeled and numbers of jobs required for providing optimum growth rate have been obtained. This paper indicates that considering the average census of five decades ) the situation of labor market and growth rate of economic sections in urban areas are bad and worse in rural areas so that there is need to increase employment considerably in order to achieve minimum economic growth rate ( 1% growth)

Fish and egg specific immunoglobin e in multiple sclerosis patients

Background: The effect of nutrition in the course of multiple sclerosis (MS) is a topic of great interest. The present study was aimed to evaluate the immunoglobin E (IgE) against egg and fish in MS patients compared to healthy controls. Methods: Between March 2012 and July 2012, 48 MS patients were selected and compared with 48 healthy subjects to assess the frequency of IgE against egg and fish in MS patients compared to healthy control. Fish and Egg specific IgE was determined by Immuno CAP. Sex and the frequency of specific IgE were compared between study groups by Chi-square test. Results: Total of 96 subjects was assessed (22% male and 78% female). The mean age of the study subjects was 30.8 ± 6.6 years. Mean age of case and control groups was 30.7 (±6.9) versus 30.9 ± 6.3, respectively (P = 0.83). There were no detection of egg and fish specific IgE in serum of MS patients and healthy subjects. Conclusions: IgE allergy against fish and egg may be very unlikely to affect MS course

Recent Emergence and Re-Emergence of Crimean Congo Hemorrhagic Fever and Q Fever Zoonotic Diseases: Major yet Ignored Infectious Diseases Worldwide

The continuing emergence or re-emergence of vector-borne zoonotic Q fever (caused by Coxiella burnetii) and Crimean Congo hemorrhagic fever (CCHF, caused by Orthonairovirus) include indispensable extraordinary threat around the world. Low infectious dose and long-term environmental residence are major risks. Wildlife and domestic livestock act as hosts or reservoirs of the CCHF virus and ticks are carriers. The disease also poses a threat to public health services owing to its epidemic potential, high case fatality ratio (up to 40%) as well as difficulties in treatment, prevention, and control. Q fever is another zoonotic febrile disease mainly affecting workers involved in farming livestock. The causative agent of Q fever causes abortion in livestock. The pathogen is shed in large numbers in the waste of infected animals (amniotic fluids and placenta during parturition) and is transmitted by inhalation of contaminated aerosols. Vaccination is the most effective way of protecting against Q fever. The main way to prevent Q fever is to avoid contact with animals, especially while animals are giving birth, or consumption of unpasteurized milk and contaminated dairy products. Due to the increasing importation of livestock to meet the growing demand for dairy and meat products, new diseases are likely to be introduced. In our growing globalized world, where trade between countries increases, it is necessary to conduct more research on zoonotic diseases and to monitor any possible disease introduction to new areas. A continuing surveillance program and pathogen testing are important in tracking the emergence of new pathogens