Spectrophotometric Determination of Cefixime Following Simple Diazotization and Coupling with ?-Naphthol

Cefixime (CFX) was treated with sodium nitrite and hydrochloric acid for diazotization reaction followed by coupling with ?-Naphthol in alkaline medium to form, a yellow colored azo dye compound which exhibits maximum absorption (?max) at 412 nm where the concentration of (CFX) was determined spectrophotometrically. The optimum reaction conditions and other analytical parameters were evaluated. Beers law was obeyed in the concentration range of (1-20) ?g.mL-1 with a molar absorptivity of 34870.5 L.mol-1.cm-1. The limit of detection was found to be 0.1090 ?g.mL-1 and the Sandell's sensitivity value was 0.0130 ?g.cm-2. The proposed method could be successfully applied to the determination of (CFX) in pharmaceutical formulations

Structural Study of Basins Configuration in Mesopotamian Area

Mesopotamian Zone is a foreland basin formed by a collision between Arabian and Iranian plates. A subsurface structural study made for Mesopotamian area based on the information of the oil wells, which were used in the construction of five structural cross-sections. The sections reveal information about the difference in thickness of sedimentary formations in the basin during the geological time of Mesozoic and Cenozoic Era. As well as studied the most important reasons for the formation of surface and subsurface structures, which are attributed to three main reasons: the basement rocks and their longitudinal and transverse faults, tectonic movements that happened to the region as well as the role of salt layers or structures and their rush to the top

Giant parathyroid adenoma: A case report and review of the literature

Background: Giant parathyroid adenoma is a rare type of parathyroid adenoma defined as weighing > 3.5 g. They present as primary hyperparathyroidism but with more elevated laboratory findings and more severe clinical presentations due to the larger tissue mass. This is the first reported case of giant parathyroid adenoma from the Middle East. Case presentation: A 52-year-old Indian woman presented with a palpable right-sided neck mass and generalized fatigue. Investigations revealed hypercalcemia with elevated parathyroid hormone and an asymptomatic kidney stone. Ultrasound showed a complex nodule with solid and cystic components, and Sestamibi nuclear scan confirmed a giant parathyroid adenoma. Focused surgical neck exploration was done and a giant parathyroid adenoma weighing 7.7 gm was excised. Conclusions: Giant parathyroid adenoma is a rare cause of primary hyperparathyroidism and usually presents symptomatically with high calcium and parathyroid hormone levels. Giant parathyroid adenoma is diagnosed by imaging and laboratory studies. Management is typically surgical, aiming at complete resection. Patients usually recover with no long-term complications or recurrence. - 2019 The Author(s).Scopu

Using Low-Density Parity-Check Codes to Reduce the Effect of Laser Line width For Optical Communication

The performance of coherent optical communication systems is degraded significantly by the phase noise of the semiconductor lasers. The phase noise is induced by spontaneous emission in the laser cavity and yields broadening in the laser linewidth. This paper addresses the application of the Low-Density Parity-Check (LDPC) codes as Forward Error Correcting (FEC) codes to relax the laser linewidth requirement. These codes are applied to three types of heterodyne optical receivers (BPSK, DPSK and QPSK) operating with finite laser linewidth

New accessory palatine canals and foramina in cone beam computed tomography

Background: Palatal surgeries are associated with many complications. Accessory foramina may be a cause of concern.  The present study was conducted to assess the presence of and to evaluate the anatomical characteristics of accessory palatine foramina and related bony canals in cone beam CT scans. Materials and methods: The incidence, location, and types of foramina on the palate were evaluated in 170 CBCT scans.  Readings from coronal, sagittal, and axial planes were recorded using a computer program and evaluated. Results: Other than nasopalatine, greater and lesser palatine foramina, 278 foramina were seen in the palate in different locations. New accessory palatine foramina were found posteriorly in 14.71% of the studied scans with wide anatomical variations. Unusual foraminal canals were seen crossing the antral floor laterally. The anterior accessory palatine foramina were seen in 73.53% of scans while bilateral accessory palatine foramina were found in 43.53% of cases. Conclusions: Accessory palatine foramina and related canals are frequently seen in CBCT with many anatomical variations. New unusual connecting canals are found passing through the antral floor from palatine foramina to the lateral antral wall. These anatomical structures should be considered in preoperative planning for local analgesia and surgical interventions in the palate

Enhanced Convolutional Neural Network for Non-Small Cell Lung Cancer Classification

Lung cancer is a common type of cancer that causes death if not detectedearly enough. Doctors use computed tomography (CT) images to diagnoselung cancer. The accuracy of the diagnosis relies highly on the doctor\u27sexpertise. Recently, clinical decision support systems based on deep learningvaluable recommendations to doctors in their diagnoses. In this paper, wepresent several deep learning models to detect non-small cell lung cancer inCT images and differentiate its main subtypes namely adenocarcinoma,large cell carcinoma, and squamous cell carcinoma. We adopted standardconvolutional neural networks (CNN), visual geometry group-16 (VGG16),and VGG19. Besides, we introduce a variant of the CNN that is augmentedwith convolutional block attention modules (CBAM). CBAM aims to extractinformative features by combining cross-channel and spatial information.We also propose variants of VGG16 and VGG19 that utilize a supportvector machine (SVM) at the classification layer instead of SoftMax. Wevalidated all models in this study through extensive experiments on a CTlung cancer dataset. Experimental results show that supplementing CNNwith CBAM leads to consistent improvements over vanilla CNN. Resultsalso show that the VGG variants that use the SVM classifier outperform theoriginal VGGs by a significant margin

Vocational Interests of Middle and High School Students in the UAE

This paper investigated the vocational interests of students in the UAE and determined its relationship to gender and grade level. The Emirates Scale for Vocational Interests- Revised (ESVI-R) was used to attain the goal of the investigation. The ESVE-R was administered to 1920 students in the different emirates who were in the 9th, 10th, 11th, and 12th grades. Accordingly, the sample was comprised of 866 (45.1%) male and 1054 (54.9%) female students. The data were analyzed using the appropriate descriptive and inferential statistical protocols. The results showed that there are significant gender differences in most of the subscales of ESVI-R whereas there are significant differences in some of the subscales according to students' grade level. The study concluded that the vocational interests of the students demonstrated stability along grade levels and that there was a notable shift in the vocational interests of female students in the trajectory of seeking an equal opportunity with their male counterparts. Keywords: Vocational interests, gender differences, grade level, UAE school students

Image Encryption using Resilient Boolean Function and DCT

The information security is becoming more important in data storage and transmission, where images are widely used in it. The Stream cipher cryptosystems are extensively used for provide a reliable and efficient method of security. The new propose system image encryption investigated by encrypt the powerful frequency coefficients in DCT by used saturated best resilient Boolean function that constructed by Zhang's constructions that implement Maiorana-McFarland like constructions technique and its modifications. The simulation results of the proposal system calculate correlation test (Corr1) and PSNR1 to compare between original and encrypted image as parameter of robustness, and correlation test (Corr2) and PSNR2 as correlation parameter between original and decrypted image as parameter of quality in reconstruct image

Vocational Interests of Middle and High School Students in the UAE

This paper investigated the vocational interests of students in the UAE and determined its relationship to gender and grade level. The Emirates Scale for Vocational Interests- Revised (ESVI-R) was used to attain the goal of the investigation. The ESVE-R was administered to 1920 students in the different emirates who were in the 9th, 10th, 11th, and 12th grades. Accordingly, the sample was comprised of 866 (45.1%) male and 1054 (54.9%) female students. The data were analyzed using the appropriate descriptive and inferential statistical protocols. The results showed that there are significant gender differences in most of the subscales of ESVI-R whereas there are significant differences in some of the subscales according to students' grade level. The study concluded that the vocational interests of the students demonstrated stability along grade levels and that there was a notable shift in the vocational interests of female students in the trajectory of seeking an equal opportunity with their male counterparts. Keywords: Vocational interests, gender differences, grade level, UAE school students

Predicting Parkinson disease in the community using a nonmotor risk score

At present, there are no validated methods to identify persons who are at increased risk for Parkinson Disease (PD) from the general population. We investigated the clinical usefulness of a recently proposed non-motor risk score for PD (the PREDICT-PD risk score) in the population-based Rotterdam Study. At baseline (1990), we constructed a weighted risk score based on 10 early nonmotor features and risk factors in 6492 persons free of parkinsonism and dementia. We followed these persons for up to 20 years (median 16.1 years) for the onset of PD until 2011. We studied the association between the PREDICT-PD risk score and incident PD using competing risk regression models with adjustment for age and sex. In addition, we assessed whether the PREDICT-PD risk score improved discrimination (C-statistics) and risk classification (net reclassification improvement) of incident PD beyond age and sex. During follow-up, 110 persons were diagnosed with incident PD. The PREDICT-PD risk score was associated with incident PD (hazard ratio [HR] = 1.30; 95 % confidence interval [1.06; 1.59]) and yielded a small, non-significant improvement in overall discrimination (ΔC-statistic = 0.018[−0.005; 0.041]) and risk classification (net reclassification improvement = 0.172[−0.017; 0.360]) of incident PD. In conclusion, the PREDICT-PD risk score only slightly improves long-term prediction of PD in the community