The Measurement of Height Via 3D Scans of the Seventh Cervical Vertebra in Iranian Adults

Background: The cervical vertebrae are more durable than other skeletal components, and maybe the only remains of a deceased, and their role in determining the height of the deceased has been underestimated. The present study investigated the role of linear differential dimensions of the seventh cervical vertebrae in determining the height of the Iranian adult population using CT scans.Methods: In this cross-sectional study, height were evaluated by 10 indices of the seventh cervical vertebra. The indices were obtained through a CT scan of 66 adult patients, ≥18 years of age, who referred to Rasoul Akram and Firoozgar hospitals for spine CT scan. The sampling method was random, and the study was performed during the first six months of 2018. Results: Four indices of the Length of the Inferior Facets) LIF, (Length of the Inferior Surface of the Vertebral Body) LIVB, (Width of the Inf surface of the Vertebral Body) WIVB, (Length of Spinous Process ) LSP. were statistically significant differences.Conclusion: The results of this study show the accuracy of linear dimensions of the seventh cervical vertebrae for determining height from skeletal remains in the Iranian adult population

Estimation of Gender and Age Based on Three-dimensional Computed Tomography Scan Indices of the Twelfth Thoracic Vertebrae and the First and Fifth Lumbar Vertebrae in Iranian Adults

Background: Gender identification is a crucial starting point in creating a biological profile for human skeletal remains because it reduces the number of possible matches by 50%. The vertebrae (especially the chest and back) can also be some of the best-preserved skeletal elements in some areas of forensics and archeology. In the present study, gender and age were assessed based on the measurement of three-dimensional computed tomography (CT) scan indices of the Twelfth thoracic (T12) vertebrae and the first and fifth lumbar (L1 and L5) vertebrae in Iranian adults.Methods: The present study was a descriptive study carried out on 200 participants over 18 years of age in 2020. Individuals measuring thoracic and lumbar vertebrae diameters (T12 and first and fifth lumbar vertebrae) by three-dimensional computed tomography (CT) scan (Toshiba, Japan, 16-Slice) with multiplanar reconstruction (MPR) and volume rendering were placed in two sagittal and horizontal sections.Results: The mean age of male and female participants was 34.62±9.63 years and 34.10±9.70 years, respectively, which were not significantly different (P=0.789). The present study showed that the mean indices for T12, L1 and L5 vertebrae were significantly higher in males (P>0.05). The results also showed that T12, L1, and L5 indices of nuts are not good predictors for age estimation.Conclusion: Based on the results, the indices of the T12 vertebrae and the L1, and L5 vertebrae can be used to determine gender, but these indices are not a good criterion to estimate age and do not have the necessary accuracy to predict the age variable

Height Estimation Based on 3-Dimensional CT Scan of 12th Thoracic, 1st and 5th Lumbar Vertebrae

Background: Identification of victims is one of the main challenges of forensic medicine. Height is one of the key measurements of the biological profiles of individuals. This study aimed to evaluate height based on measuring three-dimensional CT scan indices of twelfth thoracic (T12), first lumbar (L1), and fifth lumbar (L5) vertebrae in Iranian adults.Methods: The present study was a cross-sectional study performed on 100 patients who underwent a spinal CT scan. Vertebral T12, L1, and L5 indices were measured in these individuals. Finally, the evaluated indices were statistically compared and the diagnostic effect of each was evaluated to estimate the height. Independent t-test and linear regression were used using SPSS software v. 21. A P value less than 0.05 was considered significant.Results: The results showed that the mean difference between T12, L1, and L5 indices in the two groups of male and female patients was statistically significant. With one unit increase in the Transverse process distance T 12 (TDM T12), there is an increase of 0.42 units in height (P=0.02). Conclusion: According to the results of the present study, the measurements of the T12, L1, and L5 vertebral indices have a significant relationship with gender. Among the measurements of the T12, L1, and L5 vertebral indices, just TDM T12 can be a predictive factor to estimate the height of the Iranian population

Analysis of antigen conservation and inactivation of gamma-irradiated avian influenza virus subtype H9N2

Avian influenza (AI) A subtype H9N2 virus belongs to Orthomyxoviridae family and causes low-pathogenic disease AI. The use of gamma-irradiated viral antigens has been developed in the production of effective vaccines. In this research, LPAIV H9N2 strain, A/Chicken/IRN/Ghazvin/2001, was multiplied on SPF eggs and irradiated by a Nordian gamma cell instrument. Irradiated and non-irradiated AI virus (AIV) samples were titrated by EID50 method and hemagglutinin (HA) antigen was analyzed by HA test as the WHO pattern method. Infectivity of irradiated virus was determined by egg inoculation method during four blind cultures. The results showed that after increasing the dose of gamma radiation, virus titer gradually decreased. D10 value and optimum dose for complete virus inactivation were calculated by dose/response curve, 3.36 and 29.52 kGy, respectively. In addition, HA antigenicity of gamma-irradiated virus samples from 0 to 30 kGy was not changed. The results of safety test for gamma-irradiated AIV samples showed complete inactivation with gamma ray doses 30 and 35 kGy, without any multiplication on eggs after four blind cultures. According to the results of HA antigen assay and safety test, the gamma-irradiated and complete inactivated AIV subtype H9N2 is a good candidate as an inactivated immunogenic agent for poultry vaccination

Evaluation of sacral bone parameters in Sex determination by three – dimensional CT images

Introduction: Gender determination in forensic medicine plays an important role in determining the identity which is very important for both the present time and in the future. (Aim)Background: To improve sex determination using skeletal remains, morphometrical study of some bones can be helpful. The aim of this study is to assess the application of five parameters of sacral bone by means of Three – Dimensional (3D) images reconstructed by multi-slice Computed Tomography (CT) in sex determination of Iranian individuals.  Materials and Methods: This cross-sectional study was conducted on one hundred of Iranian people with equal number of men and women who have undergone Pelvic CT in radiology department of Hazrat Rasoul-Akram Hospital were included. Five anthropometric indices including S1 Perimeter, S1 Area, Anterior-posterior diameter (APD), Maximum transverse diameter (MTD) and Maximum breadth of sacral alae (MBA) of their sacral bone were measured using computed tomography (CT) three dimensional images with an accuracy of 0.01º and 0.01 mm and then the association of the measurements with the gender of individuals was studied. Conclusion:  No significant difference was observed between two gender groups in terms of age (P=0.678).&nbsp

Intelligent Service Selection in a Multi-Dimensional Environment of Cloud Providers for Internet of Things Stream Data through Cloudlets

The expansion of Internet of Things (IoT) services and the huge amount of data generated by different sensors signify the importance of cloud computing services such as Storage as a Service more than ever. IoT traffic imposes such extra constraints on the cloud storage service as sensor data preprocessing capability and load-balancing between data centers and servers in each data center. Furthermore, service allocation should be allegiant to the quality of service (QoS). In the current work, an algorithm is proposed that addresses the QoS in storage service allocation. The proposed hybrid multi-objective water cycle and grey wolf optimizer (MWG) considers different QoS objectives (e.g., energy, processing time, transmission time, and load balancing) in both the fog and cloud Layers, which were not addressed altogether. The MATLAB script is used to simulate and implement our algorithms, and services of different servers, e.g., Amazon, Dropbox, Google Drive, etc., are considered. The MWG has 7%, 13%, and 25% improvement, respectively, in comparison with multi-objective water cycle algorithm (MOWCA), k-means based GA (KGA), and non-dominated sorting genetic algorithm (NSGAII) in metric of spacing. Moreover, the MWG has 4%, 4.7%, and 7.3% optimization in metric of quality in comparison to MOWCA, KGA, and NSGAII, respectively. The new hybrid algorithm, MWG, not only yielded to the consideration of three objectives in service selection but also improved the performance compared to the works that considered one or two objective(s). The overall optimization shows that the MWG algorithm has 7.8%, 17%, and 21.6% better performance than MOWCA, KGA, and NSGAII in the obtained best result by considering different objectives, respectively

Intelligent Service Selection in a Multi-Dimensional Environment of Cloud Providers for Internet of Things Stream Data through Cloudlets

The expansion of Internet of Things (IoT) services and the huge amount of data generated by different sensors signify the importance of cloud computing services such as Storage as a Service more than ever. IoT traffic imposes such extra constraints on the cloud storage service as sensor data preprocessing capability and load-balancing between data centers and servers in each data center. Furthermore, service allocation should be allegiant to the quality of service (QoS). In the current work, an algorithm is proposed that addresses the QoS in storage service allocation. The proposed hybrid multi-objective water cycle and grey wolf optimizer (MWG) considers different QoS objectives (e.g., energy, processing time, transmission time, and load balancing) in both the fog and cloud Layers, which were not addressed altogether. The MATLAB script is used to simulate and implement our algorithms, and services of different servers, e.g., Amazon, Dropbox, Google Drive, etc., are considered. The MWG has 7%, 13%, and 25% improvement, respectively, in comparison with multi-objective water cycle algorithm (MOWCA), k-means based GA (KGA), and non-dominated sorting genetic algorithm (NSGAII) in metric of spacing. Moreover, the MWG has 4%, 4.7%, and 7.3% optimization in metric of quality in comparison to MOWCA, KGA, and NSGAII, respectively. The new hybrid algorithm, MWG, not only yielded to the consideration of three objectives in service selection but also improved the performance compared to the works that considered one or two objective(s). The overall optimization shows that the MWG algorithm has 7.8%, 17%, and 21.6% better performance than MOWCA, KGA, and NSGAII in the obtained best result by considering different objectives, respectively