AGIS method based on spatial autocorrelation analysis used to identification and ranking of thoron (220Rn)concentration. Spatial radiation patterns are analyzed using Moran's I statistic. Getis-Ord Gi* is utilized to locate clusters of high and low measurements and create a map of thoron hot spots. One hundred schools in the center of Najaf City were examined for thoron using CR-39 detectors (produced from Track Analysis Systems Ltd., UK)  for this research. Average thoron levels were 2.99 Bq/m3, with a range of 9.00 Bq/m3 to 0.22 Bq/m3. The radiation levels found in this investigation were significantly lower than the UNSCEAR 2000 safety standards of 40 Bq/m3. Moran's, I have used it to analyze the clustering of districts across a research region and to measure the spatial distribution of data. Getis-Ord Gi* statistics were used to identify cold and hot spots within the research area. Thoron concentrations were shown to have insignificant spatially random distribution patterns, as demonstrated by Global Moran's I. (Moran’s I =0.28, p-value=0.24).

Iraq is one of the states in the world, affected with coronavirus. Mapping spatial patterns analysis distribution of disease incidence and danger can be assist as a suitable tool for detecting exposures of public health concern. A geographical information system (GIS)-based methodology to examine the relationship between the reported incidence of coronavirus and spatial patterns analysis in eighteen provinces of Iraq was analyzed in 2020. So, the study was applying spatial statistics to inspect the spatial patterns and areas of clustering detection to describe the pattern of coronavirus in Iraq. In this study, local Moran's I has been applied to measure spatial distribution of coronavirus in the study area and examined how provinces were spread or clustered. Spatial patterns statistics were used to apply Moran’s I test and it estimated considerable negative spatial autocorrelation of coronavirus disease incidences from 24/02/2020 to 06/04/2020. The results described spatially random clustered and spatial pattern of this disease in the study area. The study determined that the coronavirus cases were increased in the northeastern- and southwestern-side provinces of Iraq.

Background and objectives: Carpal Tunnel Syndrome (CTS) is the most common mononeuropathy encountered in clinical practice. Conventional electro diagnosis studies have been useful in the diagnosis of this condition. The Terminal Latency Index (TLI) is a derived neurophysiological value that adjusts the Distal motor Latency (DL) for the terminal distance and motor nerve Conduction Velocity (CV).Several studies have suggested utility of the median TLI for diagnosis of CTS.The goal of this study is to evaluate prospectively the sensitivity of the median TLI in the diagnosis of CTS and compare it with other electrodiagnosis techniques.Material and Methods: This study was done on 111 patients as CTS group & 62 healthy subject as control group. In all groups five selected tests of electrodiagnosis were done and all of them were compared with TLI sensitivity.Results: The mean TLI was 0.3±0.05 in the CTS group and 0.42±0.03 in the control group. The sensitivity of TLI was 73% The TLI wasn't statistically better than the other tests, but in three cases from the CTS group, the TLI was the only abnormal test.The 7 and 14 cm method had meaningful sensitivity in contrary to other tests.Conclusion: The sensitivity of TLI has no meaningful difference with other routine electro diagnostic tests in diagnosis of CTS.The median TLI is a useful but not more sensitive electrodiagnostic test for CTS.

Introduction: Three methods of OCRA Index, Strain Index (SI), and ACGIH HAL have been proposed for the assessment of risk factors of upper limb musculoskeletal disorders. Investigating the correlation and consistency of these three methods are of prominence importance in the workplaces. Thus, this study aimed to determine the correlations of the results of the above mentioned methods. Materials and Methods: In this cross-sectional study, a total of 150 tasks were studied in four industries. For each task, a video taping of a full working cycle was prepared and evaluated according to the instructions of each method. The level of risk exposure to musculoskeletal disorders was analyzed with correlation and Kappa agreement coefficient tests using SPSS (version 16) and R software packages.Results: The correlation between the results of risk assessments of OCRA and SI methods for right and left hands were acceptable and equal to 0.751 and 0.726, respectively (p<0.001). Meanwhile, the coefficients of agreement between OCRA and HAL methods for left and right hands were 0.526 and 0.595, respectively.Conclusion: These findings partly confirmed the agreement between the methods of risk assessment. The origin of this partial agreement can be the number and type of variables and their impacts on the final score of the methods.

Introduction: J.E.Hirsch introduced H Index to scientometric domain, representing actual scientific profitability quality of a researcher’s publications; and is equal to effective index for researchers. Literature review: Studies showed that documents database have provided different H scores for each researcher and for different scientific fields. Despite the utmost advantages of H-index it also have some flaws such as need to use complementary indices such as m, r, g index. Conclusions: The strength point of H index, is its ability to use in limited levels which is an complementary for other bibliomeetric exist indexes. This Index, with others, could be a suit index to improvement scientific levels for researchers, scientist, and scientific board members.

Early marriage or child marriage (CM) is a pervasive global issue. An examination of global data indicates an average of 19% prevalence of this phenomenon across various countries in 2023. According to the latest statistical yearbook of the Civil Registration Organization in 2022, over 14.5% of registered marriages occurred at ages below 18, with this figure exceeding 27% for girls and approximately 2% for boys. The present study investigates the temporal-spatial changes in CM across Iranian counties from 2016 to 2021. This research adopts a quantitative approach and is characterized by secondary analysis. The statistical population comprises the counties of Iran, and data analysis was conducted using GIS and spatial statistical methods. The spatial correlation index was utilized to assess spatial distribution and identify the most significant hubs. The time-space cube model was employed to estimate the percentage of CM in 2025. Findings revealed that during the years 2016-2021, Semnan and Qazvin provinces exhibited the lowest percentages of CM, whereas Sistan and Baluchestan, Khuzestan, Ardabil, and Khorasan Razavi provinces emerged as the primary hubs of CM. In the eastern and northwestern regions, CM among girls showed an increasing trend, while among boys in the eastern areas, a complete upward trend was observed from the northeastern to the southeastern regions, with a similar increasing trend noted in the northwestern parts. The spatial pattern analysis of CM indicated two distinct distributions between boys and girls, and the 2025 estimates suggest an increase in this occurrence among girls in the current CM hubs.