Change detection algorithms of remote sensing image can be divided into two categories: pixel-based and object-oriented, according to the minimum processing unit.This paper deals with the comparison between application of pixel-based and objectoriented approaches in land use classification in Isfahan-Borkhar, Najafabad and Chadegan plains and evaluation of land use changes with Landsat TM (1985) and OLI (2015) data during the study period. The object-oriented approach involved the segmentation of image data into objects with multi-resolution segmentation algorithm by eCognition software. Then objects were assigned and classified with the nearest neighbour algorithm in object-oriented classification The supervised pixel-based classification involved the selection of training areas and a classification using a maximum likelihood algorithm. Accuracy assessments of both classifications were undertaken. The results show better overall accuracy (higher 90%) of the object-oriented classification over the pixel-based classification. The land use maps indicate that residential area is increased 2.09, 9.66 and 3.74% and rangeland area are decreased 7.48, 10.94 and 17.73% in Isfahan-Borkhar, Najafabad and Chadegan plains in the study period, respectively. In Chadegan plain the increase in agriculture and fallow land use has been equal to 8.31 and 5.64%, respectively.

Land use mapping is the basic tools for administrators and land planners. Severd methods have been proposed for land-use mapping. The latest and most important methods is using remotey sensed data for Land-use mapping. The aim of this study was performance evaluation of the pixelbased classification. (Fuzzy ARTMAP neural network and decision tree Methods) and objectoriented classification methods and using Landsat 8 image of 2013 for land-use mapping of arid and sem-iarid regions of Meimeh Ilam. Different land use classes were difined using training samples comperison of classification results of three different methods of fuzzy ARTMAP neural network, Gini decision tree and Object-oriented Show that the object-oriented approach, has overall accuracy of 95.30 and Kappa coefficient of 90.88, and Gini tree decision and Fuzzy ARTMAP Neural Network methods has overall accuracy of 80.32 and 72.20 and Kappa coefficient of 68.75 and 36.18, respectively thus, object-oriented classification method having a difference in overall accuracy 14.98% and 23.1% and Kappa coefficient of 22.13% and 54.7% has a higher accuracy compared with the Gini decision tree and fuzzy ARTMAP neural network. Map area defined by the three methods of classification, are similar in farmlands, poor rangeland, and urban area. The greatest differences were observed in area of medium rangeland and minimum differences were related to the urban area.

Introduction: According to International Classification of Functioning, Disability and Health (ICF), children with Cerebral palsy may have considerable impairments and limitations in all levels of body structure and functioning, activity, and participation in social roles. The purpose of this study was to evaluate the efficacy of adapted constraint induced movement therapy (CIMT) on outcome measurements based on ICF levels.Materials and Methods: In a single-blinded randomized controlled trial, 28 participants who met preset inclusion and exclusion criteria were divided into two groups: CIMT and the controls. Subjects in CIMT group were provided with the intervention for 10 out of 12 consecutive days and another group received routine occupational therapy services. Independent-sample t test and paired-sample t test were used for statistical analysis of data.Results: At ICF level of body structure and function, significant differences in shoulder muscle tone and forearm and wrist passive range of motion (PROM) were found between the two studied groups. At activity and participation levels, similar differences were also indicated in dexterity, bilateral coordination, bimanual coordination and Caregiver Functional Use Survey (how well & how frequently) (P<0.05).Conclusion: Implementing the adapted constraint induced movement therapy protocol through a child friendly approach was proved to improve hand functions and activities of daily living.

Deforestation in the past decades has risen. So, the proper development of human activities in forests requires the environmental limitations to be considered during forests management process. One of the appropriate measures is the determination of ecological vulnerability. In the present study, Patom District of Kheyrud Forest was classified based on the ecological sustainability, using Object- Oriented Vulnerability Method. The results showed that 26% of the study area is located in middle sensitive class, 46% in sensitive class and 28% in very sensitive class. Overall, we infer that Patom District of Kheyrud Forest has the high ecological vulnerability that it should be considered by forest managers.

Identifying the different habitats in wetlands is essential for their protection. This research was carried out with the aim of classifying habitat areas of Maharlu wetland in Fars province using MedWet, Mediterranean Wetland Habitat Classification System. Information on dominant vegetation cover, soil, and hydrology of the wetland was prepared using field surveys. The data on the water regime were obtained with quarterly satellite images from 2016-2019 in remote sensing media using ArcGIS. Sampling was performed for wetland plants and lake bed outcrops from 39 stations in May 2020. Plants were identified and classified on the basis of being an annual or perennial presence and submerged or floating. By stacking this information in ILWIS, different habitat zones were separated. Each was then specified using habitat international standard codes, and habitat maps were prepared. In total, 42 habitats were identified in the Maharlu wetland. The most prevalent habitats were palustrine–emergent–persistent–seasonally flooded–Mixosaline– (P-EPSX-) (14,797,300 m2), palustrine–emergent–persistent–temporarily flooded– Mixosaline (P-EPSX-) (296,600 m2), lacustrine–littoral–emergent–persistent–seasonally flooded–mixosaline– (LLEPSX) (2,079,900 m2), and lacustrine–littoral–emergent–persistent–Semipermanently flooded–mixosaline– (LLEPLX-) (493,000 m2). The results of this research in recognizing habitats are useful for the protection of ecosystem sections, especially plant communities.

The accuracy of land use changes map obtained from remote sensing data depends on the accuracy of each of the land use maps during the time period studied. In this study, TM and OLI images in 1989 and 2018 and an objectoriented classification method were used to investigate the land use/ land cover change trends with an emphasis on agricultural land use in the Ghare Sou basin. After the pre-processing, the object-oriented processing using the multiresolution segmentation method was applied. In addition to the spectral bands, some additional information such as a normalized difference vegetation index (NDVI), band means, the standard deviation of bands and geometry characteristics were used to extract land use in order to obtain more accurate results. Of these non-spectral data used, 15 characteristics were selected by Feature space optimization (FSO) method to be used in nearest neighborhood algorithm. The kappa coefficient of the land use maps for 1989 and 2018 was 85% and 96%, respectively, indicating the reliability of the object-oriented classification results. In the next step, the map of the changes was produced comparing the classified maps. According to the results of the change detection, the agricultural land use during the studied period has an increase of 73849 hectares, mainly due to the destruction of rangelands and its conversion to the agricultural land agricultural land.

Safety is of primary principles of living in human communities. Preparation and provision of necessary considerations for encountering hazards are main targets of the crisis management. Nuclear risks are one of hazards threatening in the human life. Since radioactive contaminants sustain for years after the incident, investigation into nuclear hazards and its damage on living environment and urban features is so vital. This study essentially aims at evaluating the risk of radioactive contaminants to urban land uses. Due to high resolution satellite images, remote sensing technology has been considered as an advanced technology to generate information covering urban areas. Information on land cover is one of the most important tools of management during crisis. Land cover maps can be prepared through techniques for high resolution satellite image processing and extracting urban features. In this study, the fuzzy objectoriented method is applied to classify such phenomena. In the proposed method, a fuzzy rule-based strategy and hierarchical model are employed to overcome noise between classes. Fuzzy rule-based classification method is used as well as optimization and improving features of multi-scale analysis. Considering blocks of WorldView2 sensor, 91% of object detection is implemented with an average accuracy. When classification image of urban features is produced, the risk of radioactive contaminants to each recognized object is determined based on EDEM model.

Objective: The science classification and library bibliographic classification are the two well-known study fields, the first, subject to science field and the second subject to Library and Information Science field. These two concepts are very close to each other. Regardless of the connection between these two, there exist fundamental questions, to name one: what is the need for compilation of science classification systems or library bibliographic classification schedules? There are many studies on these tow schemes, which can be divided into the following four categories: 1) Discussing the general issues (like definition, necessity and challenges), 2) describing one or more classification systems, 3) analyzing the perspectives of Islam and Muslims, and 4) specifying the components of science classification or library-bibliographic classification as to interdisciplinary fields and the theories thereof. In none of the existing works, a combination of these two… is studied in a comprehensive and detailed sense. Accordingly, this study aims at running a comparative study of science classification systems and library bibliographic classification schedules in the context of the time trends, thematic tendencies of the designers, the approaches and classification criteria, the count of branches and their efficiency and influence thereof. Methodology: The two documentary and content analysis methods are adopted here. In the documentary analysis section, a collection of relevant documents is identified through a targeted sampling method. In the content analysis, quantitative and qualitative methods are applied. According to the purpose and type of research, the census method is applied. Finding: The review run on the texts led to the identification of 99 science classification systems and 57 library bibliographic classification schedules. The climax of the science classification systems formation is toured in the Middle Ages with a frequency of 45 (46. 39%) and the library bibliographic classification schedules climax is toured in the contemporary age with a frequency of 29 (51. 78%). In terms of expertise and subject area, 54 percent of science classification systems are developed by philosophers and 42 percent of library bibliographic classification schedules are developed by librarians. In terms of classification systems criteria, the "religious-orientation" with frequency of 11 classifications for the science classification systems and the "subject-orientation" with frequency of 9 classification for library-bibliographic classification schedules top other criteria. The count of developers of science classification system are influenced by Farabi, an Iranian philosopher, is 14. The count of the same influenced by Aristotle, a Greek philosopher, is seven. As to library bibliographic classification schedules, the most influential person is Francis Bacon. In the science classification systems, 35. 38 percent (23 cases), are divided into two categories, while in the library bibliographic classification schedules, most of the sub-categories are quartet and decimalized (each are with 13. 63 percent (6 classifications). Conclusion: Comparing these two classification systems according to these criteria provides an appropriate perspective of these systems from the beginning to the present. Therefore, the results of this research can be applied to the country's scientific policies in the field of science classification systems and library bibliographic classification schedules. Regardless of the relation between these two systems, there are fundamental questions about these two domains. Among them, one can point to the question of whether the necessity of codification of classification systems of science or library bibliographic classification schemes is right?

Phytoplasmas are specialized prokaryotes and obligate parasites of plant and insect vectors. Because these organisms are not culturable in vitro, many of the conventional phenotypic tests used for the taxonomy of cultured maillots are not applicable to phytoplasmas. This indicates the importance of molecular and phylogenetic properties in relation to phenotypic properties in determining the taxonomic position of phytoplasmas. In the last decade, methods based on biology and molecular genetics (e. g., comparing the nucleotide sequence of a portion of ribosomal RNA) have made it possible to establish evolutionary and phylogenetic relationships between different isolates of phytoplasmas with each other and with other prokaryotes. The comparison of the nucleotide sequence of a part of the 16S rRNA gene or the 16S-23S and tRNA-Ile gene regions can still be used to analyze a large number of unknown (large-scale) phytoplasmas. Subgroup clustering is done using less conserved regions such as the ribosomal protein-coding gene, the 16S and 23S intergenic, the general cpn60 target gene, the SecA coding gene, the secY gene, the ribosomal protein (rp) gene, and the tuf gene.