A B S T R A C TFor choosing suitable place multiple methods are introduced, which examine the qualities, methods and patterns of location selection. The current methods use global approach and do not pay attention to spatial differences, environmental variation in variables, local changes modeled by local weighting indicators. It has been selected as a case study to evaluate the EMS center of FARS PROVINCE and to evaluate the indicators of distance from the power plant, distance from logistics centers, industries, transportation terminals, hospitals, hotels and tourism, cities, rural areas and custom centers. has been used, using the AHP method to weight the qualities, and then for local weights, non-overlapping neighborhood filtering within a radius of 25 km are used and calculate the corresponding changes, quantity, ratio Presented in this article, the obtained weights, then the compute local weighted layers, and then local weight was multiplied in the normalized layers and the final layer were obtained. In the next step, it was combined and calculated to compare the data using the global method. The results of the two methods were transferred to the points of the EMS and the results were analyzedExtended AbstractIntroductionIn geographical studies and spatial planning, there are different approaches to choosing the right place for all kinds of applications and uses, and a process is followed to choose the best places. This process includes stating the research problem (cognition), choosing the criteria and preferences of decision makers and how to determine the weight of indicators, combining criteria (design) and finally, choosing the best option. In the current methods of spatial decision, the criteria are given a fixed weight, while in geographical locations, the distribution of geographical phenomena is not uniform. In this case, attention should be paid to the spatial distribution pattern of geographical phenomena based on the principle of sensitivity of the range of changes, the size of the range of changes affects the outputs, and the data with a smaller range of changes also have a lesser effect on the output. The data with a larger range of changes will have a more significant effect on the output. Therefore, in spatial analysis, indicators that have small changes are less important. Local models have been presented to model local changes in spatial multi-criteria decision-making; in this research, the main issue is how to model the local changes that affect the expected outputs. MethodologyThe research process is based on multi-criteria spatial decision-making methods (national and local). First, spatial patterns of indicators were analyzed through exploratory analyzes of ESDA spatial data. Then based on the review of the research criteria, the direct weighting method was used to calculate the weight of the indicators, and the experts were asked to specify the weight of the criteria in the range of 1 to 10. The opinions were combined, and the final weight was obtained. First, the data were spatially modelled to model and calculate the local weights. Then Block Statistics spatial filter without overlap was used to determine the neighborhood. The range of local changes, maximum and minimum values, were calculated, and local weights were obtained based on that. Finally, the information layers were descaled. After that, the unscaled criterion layers were multiplied by the national weights and the final national scores were obtained. In the next step, the data of the evaluated information layers (local and national) were transferred to the points of emergency databases. Based on the analysis, the fit was done. Results and discussionGeneral or global weights pay attention to the relative importance of indicators, which is the starting point for calculating local weights. Based on the research results, the most critical indicators are industries, cities and hospitals, which are more important in the location of road emergency stations. However, in order to achieve better results, it is necessary to build a local weight layer. The results of the research show that the indicators' weight and the difference in the criteria (general weight) are not equal in the entire geographical area, and the areas with a larger range of changes have a higher coefficient.Because, unlike general weights that are obtained based on different methods, local weights are estimated based on the principle of sensitivity of the range of changes and are changed spatially, and a fixed value is not considered for all areas. According to the research findings, the highest level in the general and local evaluation method corresponds to 0.5 to 0.7. Based on the local (geographic) weight method, it is less than the national or general method in the range of 0.9 to 1. Furthermore, this is due to the more precise nature of this method, which models the effects of local changes. To evaluate the compliance of the emergency centers with the final maps of suitability assessment, the information on the suitability maps was transferred to the map of the emergency center points of FARS PROVINCE. Based on the evaluation of 207 emergency stations, according to the general method, 14 percent are in the high group (0.9-1), and according to the local or geographical method (16.9), percent are in this group. ConclusionAt the level of space and geographical regions, phenomena and geographical complications are not uniformly distributed, some phenomena have a homogeneous distribution, and some have a heterogeneous distribution. On the one hand, the phenomena and decision issues are affected by the context in which they are formed and evolve; on the other hand, these phenomena are placed in the network of mutual relations. Furthermore, the results of the set of phenomena may differ from the results of the phenomena individually and separately; in this article, an attempt has been made to address the issue that in spatial analysis and planning, it is necessary to pay attention to geographical differences in decision-making. Furthermore, it should not be evaluated in general terms of spatial decision problems; one of the methods of modelling these differences and spatial changes is to consider the local weight of the criteria. Based on the research findings, local (geographical) and national analysis results are different and can better show these changes. On the other hand, the pattern of spatial differences also has its spatial pattern, and paying attention to these differences in spatial differences can be the subject of further studies. FundingThere is no funding support. Authors’ ContributionAuthors contributed equally to the conceptualization and writing of the article. All of the authors approved the content of the manuscript and agreed on all aspects of the work declaration of competing interest none. Conflict of InterestAuthors declared no conflict of interest. Acknowledgments We are grateful to all the scientific consultants of this paper.

The recognition of regional lands of FARS PROVINCE due to their vast expanses for planning purposes of various dimensions (local, regional, national) is of great importance. This research has studied the recognition of climatic regions of FARS PROVINCE. In order to reach our goal, 25 climatic variables in relation to moisture, heat, precipitation and radiation were used from 18 synoptic meteorological stations. Afterwards, a factor analysis method based on the principal components of the regions and a clustering analysis method in a compound model was used for separation of stretched lands. The study of climatic variables on the basis of principal components analysis showed that there were 3 principals in the climate of FARS PROVINCE. These principals, in order of importance, are: thermal principal, precipitation principal and principal of summer precipitation, respectively. A clustering analysis on factor amount helped dividing this PROVINCE to four climatic regions: southern, western, central and northern areas.

To determine fungal contamination of rape seeds, samples were taken of harvested seed consignments from different regions viz, Saadatshahr, Zarghan, Arsanjan. Ghir-Karzin, Biza and Zafar abad of FARS PROVINCE during 2008. Seeds were surface sterilized for 2.5 and 5 min. in 1% sodium hypochlorite, and plated on PDA or WA supplemented with 50% Lactic acid, incubated at 25±2oC. Growing colonies that developed during 4 to 15 days of incubation were isolated, purified and indentified morphologically using available keys. Aspergillus species were the dominant mycoflora recovered ranging from 20 to 40% in different seed samples. In addition to Aspergillus species, other fungi were also isolated and identified as follows: Penicillium sp., Alternaria sp., Fusarium sp., Cladosporium sp., Rhizoctonia sp., Phoma sp., Botrytis sp., and Rhizopus sp. Knowledge of seed contamination and its severity in different areas will help in decision making on planning for healthy seed production.

Introduction How to transmit price of agricultural products and its changes are considered as one of the most important indices of market performance and the main means of resource allocation in the economy. Assessing how price changes are transmitted among various market levels is important for production management and marketing. A distortion in the price transmission mechanism causes the market system not to function properly and asymmetric price transmission can disrupt price signals and force the government to intervene in the market to redistribute resources. Materials and methods In this research, vertical price transmission between wholesale and retail levels of pulses in FARS PROVINCE was investigated during 1999: 03-2017: 02. The HEGY unit root test and unit root test with structural break were used due to the nature of the data studied and the occurrence of structural break in the variables. Also, due to the spillover effects in the market of alternative products, the retail prices of the alternatives were also included in the models. The error correction approach with structural break was used to investigate price transmission patterns. Results and Discussion The results showed that in the short term the price transmission is asymmetric for tiny pea and large lentil and symmetric for large pea and tiny lentil. In the long term, price transmission from retail to wholesale level is asymmetric for pea but from wholesale to retail level for lentil, that could be due to the continuation of negative effects of economic sanctions and high pulses storage capability as well as existence of other factors including market power for pea and increasing demand for pulses such as lentil that is substitute for other protein products such as red meat. Moreover, due to high inflation and creating price expectations in the society, it seems that the increase in prices for many goods is naturally absorbed in the society and this issue endangers the welfare of different groups by increasing the benefits of marketing factors. Also, the spillover effect of prices on alternative products have encouraged consumers to consume products with lower prices and quality, the price spillover effect on wholesale and retail levels are relatively stronger than alternative products and have caused the most price volatility.

After the Iranian population census in 1996 , female mortality rate (from 10to50 years of age) for the previous year 1995 was calculated and a study was done to. determine the cause and place of death. Female mortality rate was 0.61 for the total PROVINCE and in rural areas it was two folds of urban areas. The most frequent cause of death was accidents and the second was cancer. Fasa( county) had the lowest mortality rate and Mamasani had the highest. Maternal mortality rate was 33.07 per 100000(rural 38.05 vs. urban 29.24). Mean age of death was 31.4(SD=12.26).

Understanding of land use changes over time would provide policy makers with necessary information on which to base their decisions. It could help them to propose intelligent policies that reflect local conditions and consistent with the economic, social and environmental objectives of sustainable rural development. Therefore, it is essential to design and implement sustainable land conversion system. The main purpose of this study was to compare different land conversion systems in Shiraz and Sarvestan counties of FARS PROVINCE. Sixty villages were selected by stratified random sampling and data was collected using two questionnaires. Face validity was confirmed by a panel of specialists and the reliability was assessed through a pilot study using Cronbach`s alpha with the range of 0.73 to 0.95 for the research scales. The results indicated that the area of agricultural lands in the villages studied increased significantly in the period under study. Differences were noted between two types of land conversion systems (increasing and decreasing agricultural strategies) due to the land slope, land tenure, agricultural and non-agricultural income. Sustainability of land management, which was almost equal in these two systems, was assessed to be low. Average temperature of the village, land quality, agricultural income and population growth were entered into the logistic regression model as the main determinants of land conversion systems. Finally, implementing sustainable land management and an appropriate land conversion system based on the special situation of each region were recommended.

Over a 10-year period, 130 consecutive cases of brucellosis were encountered and were prospectively treated and followed. Twenty-one cases were children and the remainder were adults. There were 93 males and 37 females with a male: female ratio of 2.5 to one. The age range of the patients was from 2 to 74 years with a mean of 30 years. Fifty-five percent of cases were from rural areas and the rest from major cities of the FARS PROVINCE. The disease was most frequently seen during spring and summer. Although it was seen in ranchers and farmers who usually deal with small ruminants in our country, it was also frequently seen in those with other professions. Animal contact was common (33%) as well as consumption of raw unpasteurized milk and fresh cheese which was seen in almost half of the cases. Fever and sweating were the most common complaints and arthritis and splenomegaly were the most frequent physical findings. Bilateral sacroiliac joint involvement was the most common arthritic disorder and was exclusively seen in adults. Knee and ankle joint involvement was commonly seen in children. They were unilateral and monoarticular in their presentation. Seven cases had orchitis and one pregnant lady developed second trimester abortion. Treatment with conventionally recommended antibiotics was successful in all except two cases who had relapse secondary to an inadequate course of drug therapy. The two, however, responded to another course of full term antibiotic therapy with full recovery. In contrast to western countries were cattle and swine are the most frequent sources for human brucellosis, sheep and goats are the most common source of infection in our country. Here, the disease is not an exclusively occupational one for young adultmales and an indirect oral route of disease transmission is quite frequent. Brucellosis, therefore, affects both children and adults of either sex, with a wide age range. Prohibition of ingestion of raw milk and fresh cheese as well as control of Brucella melitensis infection in sheep and goats can significantly reduce the burden of disease in our country.

During growing seasons 2004-2006 samples of grapevine with esca symptoms were collected from different vineyards in FARS PROVINCE including Abadeh (Djavadieh & Jannatabad), Eghlid, Bavanat (Soorian & Bavanat), Kavar (Akbarabad & Dashtak) & Shiraz.In this study 51 isolates were recovered & identified as Phaeomoniella chlamydospora, Phaeoacremonium aleophilum, Fusarium sp., Phoma sp., Phaeoacremonium sp. & Nattrassia sp. from wich Phaeoacremonium with 27 & Fusarium with 2 isolates had highest & lowest numbers of isolates. Pathogenesity test of P. aleophilum & Pm. chlamydospora was done under field & greenhouse conditions. Cutting inoculated in greenhouse showed leaf symptoms including midvein chlorosis which turned red after 9 months & eveatually partly become necrotic and defoliated. Under field conditions, P. aleophilum & Pm. chlamydospora caused wood discoloration beyond the inoculated points on the shoots & the pathogen was reisolated.