Multidetector systems have been widely used in GC for many years. Even though the mass spectrometer is still the most popular GC detector in the case of complex samples, a multidetector system can provide all the information needed for the confirmation purposes. This review describes various GC setups for multidetector analysis, and modern systems available on the market. An overview of the application of multidetector systems with various detectors in GC is also enclosed. The most popular system involves parallel detectors and a post-injector or postcolumn effluent splitter.

This study was conducted during summer and winter of 2018- 2019 in the agricultural research field of Shahid Chamran University. Experimental design was split- plot based on RCBD with three replications. The main plot was the type of agricultural system in three levels including conventional (Conv), organic (Org) and sustainable (Sust) (integrated between Conv and Org) and sup- plot was the type of pre- cultivated crop in sequence with wheat including cultivation of mung bean (M- W), corn (C- W), sesame (S- W) and fallow (F- W). Yield quantity (yield and its component) and quality (grain protein), an estimate of photosynthesis matter transfer index of wheat and soil organic carbon (SOC) after one double-cropping were measured. The result showed that the highest (545.04 g/m2) and the lowest (409.28 g/m2) seed yields were obtained in Conv and Org respectively. In contract, with the changing type of system from Conv to Org, grain protein was increased significantly (from 8.3 to 9.6 %). In addition, the highest (535.47 g/m2) yield of wheat was obtained from M- W double cropping. On the other hands the highest remobilization and current photosynthesis matter were obtained in the organic agricultural system with M- W and conventional with M- W double cropping. The situation of SOC showed that the highest (33.18 mg/g) SOC was obtained in the organic agricultural system with C- W double cropping. The reason for improving SOC in the organic and sustainable agricultural system was application of organic matter (compost and vermicompost) and crop residue management. Totally, from the crop ecology point of view, sustainable agricultural method with a sequence of M- W was the most desirable system.

Background and Aim: The paranasal sinuses are known for their complex anatomy and significant difference in size and shape. This study aimed to determine the prevalence of anatomical variations of the paranasal sinuses in computed tomography (CT). Materials and Methods: In this cross-sectional study, patients over 18 years of age, who had undergone CT imaging in a private clinic, were screened for eligibility of participation. After excluding the patients with evident sinus pathology in CT, 501 cases were included. An experienced maxillofacial radiologist evaluated the CT images and extracted the frequency of variations using a standardized data collection sheet. Kolmogorov-Smirnov test, independent samples t-test, and chi-square test were used for the statistical analysis. Result: Among the studied variations, septal deviation and Agger nasi, each with 336 cases (67. 1%), and concha bullosa, with 240 cases (47. 9%), were identified as the most common anatomical variations of the paranasal sinuses. The uncinate bulla showed a significant correlation with gender (P=0. 036). Conclusion: Considering the remarkable prevalence of some important variations, which may increase the risk of complications in sinus surgery, CT evaluation of patients is recommended before surgical interventions in the sinuses.

Cardiovascular disease remains the principal cause of death in the modernized world. Several novel noninvasive imaging techniques have been recently developed to improve diagnosis of cardiac and coronary disease. Of these advances, multidetector computed tomographic (MDCT) angiography has evolved most dramatically to transform computed tomography from a single-slice trans-axial modality to a three-dimensional volumetric technique. Current generation 64-detector row CT scanners allow for large volume coverage with submillimeter spatial and sub-second temporal resolution. These advances enable important new applications for MDCT in the assessment of cardiac and coronary anatomy. In this report, we discuss in depth potential appropriate uses of cardiac and coronary MDCT angiography.

Multidetector computed tomography (MDCT) with or without ECG-synchronized images can successfully evaluate cardiac morphology and congenital heart diseases which mainly involve great vessels. In this pictorial essay, we present the great capability of MDCT for the evaluation of complex congenital heart disease.

Background: In kidney transplantation decision about the proper kidney donation is different between surgeons, but simple vasculature anatomy and a kidney without abnormalities are the most important reasons of choosing a kidney. Therefore complete assessment of renal vessels of a live donor with noninvasive techniques is a necessity for nephrectomy. For delineation of the kidney vasculature anomalies and urinary system abnormalities, Multi-Detector CT seems to be excellent method for evaluation.Methods: In this study 59 live donors were assessed with Multi-Detector CT Angiography. After injection of contrast media, we acquired images with 0.6 mm slice thickness. Processing and three dimentional reconstructions were done and the accessory arteries, early branching of main renal artery, the number of main renal vessels and the ureters were assessed.Findings were compared with the nephrectomy results.Results: In Multi-Detector CT Angiography the prevalence of accessory renal artery was 3/4% with 98% accuracy, early branching of main renal artery was 8/4% with 100% accuracy. Multiplicity of renal veins was seen in 8/4% of donors with 98% accuracy. Duplicated ureter was not seen in any of the donors.Conclusions: The accuracy of CT Angiography is 95% for depicting accessory renal artery and multiple renal artery and 100% for early branching.These results were comparable with findings in conventional angiography.Studies showed this method more valuable than M.R. Angiography and digital subtraction angiography. It is less invasive and can be named as the gold standard method in the diagnosis of anomalies of vessels & collecting system in live donors.

Background: CT techniques and procedures have been expanded in the past decades, leading to an increase in the use of CT. At the same time, the radiation dose to the patient and the concern surrounding this issue has also increased. Objectives: The goal of this study was to assess clinical image quality and x-ray dose from various computed tomography (CT) scanners in order to identify the CT scanners that produce the least radiation dose to patients with exact acceptable image quality for diagnosis. Patients and Methods: Non-randomized clinical image data were collected from six hospitals on 16, 32 and 64 slice CT scanners. A total of 900 patients who underwent chest, abdomen, and brain scans were used for image quality evaluation and dose assessment. The image qualities were evaluated by five observers on 1-5 visual grading scale. The CT dose volume index (CTDIv) and dose length product (DLP) was documented from the image display. Results: The averaged CTDIv was 64. 96, 70. 2, and 75 mGy for the brain, 11. 65, 15. 53 and 17. 11 mGy for the chest, and 13. 41, 18. 44, and 19. 42 mGy for the abdomen from 16, 32 and 64 slice scanners respectively. The averaged image quality scores were 3. 68, 3. 82, and 4. 81 for the abdomen, 3. 01, 4. 27, and 4. 42 for the chest, and 4. 92, 4. 94, and 4. 99 for the brain from 16, 32 and 64 slice scanners respectively. Conclusion: Sixteen slice CT scanner delivered the minimum radiation dose to patients in contrast with the 32 and 64 slice CT scanners, and the image quality was adequate for diagnosis. Both 32 and 64 slice CT scanners produced more than acceptable image quality as well as more than needed dose to patients. The patient dose from the 32 and 64 slice scannersmaybe reduced by dropping their image quality to close to the 16 slice CT scanner.

Intestinal lipomatosis also known as lipohyperplasia is a rare disease. Diffuse infiltration of the fatty tissue mainly in the submucosal layer is characteristic. It is usually asymptomatic and found incidentally. We report a case of lipomatosis in the terminal ileum and ileocecal valve. Multidetector computed tomography (MDCT) with contrast enhancement showed fatty infiltration of the terminal ileum and ileocecal valve.

In this study the possibility of using fuzzy inference system efficiency, creating a bridge between meteorological, plant parameters, and Daily Yield, and comparing the accuracy of Daily Yield using these systems were investigated. After analyzing the different models and different combinations of daily meteorological data, seven models for estimating daily Yield were presented. For these models, the calculated Yield from AQUACROP model was considered as a base and the efficiency of other models was evluated using statistical methods such as root mean squared error, error of the mean deviation, coefficient of determination, Jacovides (t) and Sabbagh et al. (R2/t) criteria. An experiment was carried out during the 2014-2015 growing season in the Agricultural Research and Education Center of Khorasane Razavi province using a randomized complete block design with a split plot arrangement and four replications. This experiment was including of three irrigation levels treatments as the main plot and three method of planting treatments (transplanting 20-days, transplanting 30-days and direct seeded) as subplots. From the available data, 75 percent was used for training the model and the rest of 25 percent was utilized for the testing purposes. The results derived from the fuzzy models with different input parameters as compared with AQUACROP model showed that fuzzy systems were very well able to estimate the daily Yield. Fuzzy model so that the highest correlation with the 9 input variables (r=0. 98) had in mind and evaluate other parameters, the model with 2 parameters, match very well with the AQUACROP model had stage training. In the test phase, training phase was very similar results and the model with the second phase of harvest index and canopy cover will get the best match. According to the results of this study it can be concluded that fuzzy model approach is an appropriate method to estimate the daily yield.