فهرست مطالب مهدی ضیایی

Vegetation cover is one of the main indexes in environmental ecological life that is directly in relation with region humidity conditions. Comparing vegetation cover between two periods with different humidity conditions in a region can show the rate of stress nicely in a drought period on the green vegetation cover. The aim of this study was investigating the changing in birjand plain vegetation cover during the recent drought. This study was done whit the help of GIS and remote sensing technology and SPI drought index. For doing this research, these data were used: percentage vegetation cover data that obtained from the field visiting, rainfall data, satellite images from Landsat TM 1998 And 2010. All of the satellite images preprocessing and processing, making vegetation index and change detection procedure were done in Erdas 9.2 and Idrisi Kilimanjaro 14 software and for establish regression relation between vegetation cover percentage and vegetation index, the Spss software was used. In among of vegetation index, msavi2 showed the highest relation that this index was used to make ready vegetation cover percentage map for the years which these studies were going on. This with post classification changes detection procedure, the changes that occurred in vegetation cover percentage in the region were detected the result showed vegetation cover severely affected from drought. So that in occurrences of drought from 1998 until 2010, we observed decreasing in vegetation cover percentage on %29 area of the region.

Diabetes is one of the most common glandular diseases worldwide. Diabetics suffer more than other individuals from eye, nerve, and cardiovascular problems, in addition to renal insufficiency. The purpose of this study is to investigate the effects of eight weeks of aerobic interval exercise on omentin-1, resistin, and adiponectin in elderly men with type II diabetes.
This semi-experimental study was conducted in Bojnourd, Iran in 1395. The study enrolled 24 overweight male patients with type II diabetes mellitus by the convenience sampling method. Patients were randomized to two groups: experimental (n=12) and control (n=12). The experimental group participated in 8 weeks of interval aerobic training (5 days/week at 30-45 min duration with 65%-70% HRR per session). Data were analyzed with the paired sample t-test and MANOVA for comparison of means within and between groups, respectively. The level of significance was set at p≤0.05.
Omentin-1 and adiponectin increased significantly, whereas we observed significantly reduced resistin and HbA1c levels (p The eight weeks of aerobic interval training led to significantly decreased resistin and HbA1c levels, along with significantly increased omentin-1 and adiponectin levels in men with type 2 diabetes. Good health could be maintained with a proper exercise protocol in these patients. We recommend that new and variety training protocols, especially in elderly and vulnerable people should be investigated.

Finding an appropriate land to implement an activity in a particular geographical region became a significant phase of project implementation process especially in regional and national levels. One of the most useful tools in finding the susceptive locations of desert revival is utilization of computerized models. Finding the locations using Fuzzy Logic and Geographical Information Systems has been utilized in various special fields. This research aimed to determine the appropriate locations of desert revival with the risk degree by using of this model. This research adopted a method based on inspecting and grouping of environmental parameters affecti on preventing desertification. The method is accomplished using available parameters in the region and mapping of these resources were done by using Kriging and IDW methods; and ultimately specifying a simple model by valuation of Fuzzy Logic. Results showed that the Fuzzy model Gamma 0.8 had the best compatibility for recognizing the deserts and the susceptive places for combating desertification with high success rate or desert revival risk.

The location of industrial areas is a key factor in regional planning due to social، economic and environmental impacts that such kinds of decisions might have on any territory. Today، using spatial data and facilities of Geographical Information System are important for industrial site selection. In this research، at first proper factors and criteria for finding the place for industrial areas were determined and then it was prepared for entry to fuzzy function and hierarchical analysis in Arc Sdm 3، Export Choice environments. Then، the accuracy of the results of the methods was evaluated through cross tabulation. The results show that the fuzzy model and the APH model used in this research enjoy a correlation co-efficient of 53 %. The present industrial area according to site setting through the fuzzy and APH models enjoys a quality percentage of 96. 62 and 56. 98، respectively، reflecting the fact that the current industrial area، on the basis of the mentioned models، has been located in a site agreeable to the principles of an ecological sustainable development.

The site selection of industrial areas is a key factor in regional planning due to the social, economic and environmental impacts of this kind of development. A proper location must fulfil a wide range of factors like ecological sustainability, access to transport and communication infrastructures, work force availability, proximity to main market and to the raw materials. Today using of spatial data and the abilities of Geographical Information system are important for industrial site selection. Therefore it is necessary to determine the appropriate combination functions in the design and implementation of practical GIS for finding the proper place. Combination functions are one of the GIS spatial analysis functions that choose appropriate place with using of input maps and Combination operators. These functions includ Boolean, Analysis hierarchical process (AHP), index overlap, Fuzzy logic, genetic, Weight of evidence. In this research at first the proper factors and criteria for finding industrial areas were determined and then were prepared for input to fuzzy function and hierarchical analysis processing in Arc Sdm and Expert Choice environments، Afterwards results precision were evaluated. Finally fuzzy model prominence and accuracy out weight hierarchical analysis.

A case of chondrosarcoma involving the maxilla is reported. The salient points of the presented case include; diagnostic and pathologic processes, radical surgery and simultaneous chondral graft and finally long terme follow-up.The most important lessen to be learned from this report, first is that the patient referred too late in the course of the disease, thus, the tumor was progressively involved entire maxilla ultimately. In the literature, in more knowledged countries usually the size of tumor is reported to be between 2-4 cm. Secondly, Histophthology study plays an important role in the survival rate and final patient’s outcome. The microscopic differential diagnosis of chondrosarcom from osteoma, chondroma, osteoid osteoma, fibro-osseous lesions and osteogenous sarcoma is an important and often difficult consideration. The most oral and maxillofacial pathologists believed that the specimens is better to be large and multiple, so provide a more suitable overview by microscopic study.Finally wide resection of the chondrosarcoma is the most acceptable choice of treatment. The role of radiotherapy and chemotherapy as an adjunctive treatment remain controversial. On the basis of the extremely aggressive clinical behavior of these tumors, the survival rate is rather poor.