This study presents a histological comparison of the esophagus between squirrels and mongooses, illustrating herbivorous and carnivorous dietary adaptations, respectively. Histological sections were examined from both species to compare the tunica mucosa, submucosa, muscularis, and adventitia. Esophageal samples were collected from adult specimens that were stained with hematoxylin and eosin (H&E) and Masson’s trichrome, then examined microscopically. Results revealed that squirrels exhibited a thick wall with non-keratinized epithelium and fully striated muscularis, reflecting a plant-based diet. In contrast, mongooses displayed regional variation in wall thickness and thinner mucosa in the upper third and a transition from striated to smooth muscle along the esophagus that suited their diet. Vascularization in the submucosa also differed significantly between species. These findings enhance the understanding of the relationship between esophageal histology and feeding ecology in these mammals and contribute to broader knowledge of the evolutionary patterns of the digestive system in response to dietary specialization.
Background: Ideal root canal obturation depends on many factors; one of them is good sealing of root canal without pores. The aim of this study was to determine the radiographic density of GuttaFlow® 2 with different obturation techniques using spiral computed tomography. Materials and Methods: Forty palatal roots of permanent maxillary first molar were used in this study. Following working length determination, root canal was prepared using rotary PROTAPER universal system. They were randomly divided into four groups of 10 roots each, the groups are Conventional lateral condensation with Apexit Plus sealer, Conventional lateral condensation with GuttaFlow® 2 as a sealer, Soft Core Regular with GuttaFlow® 2 as a sealer and singl
... Show MoreMany studied were conducted to evaluate the antihepatotoxic and antioxidant activities of Silybum marianum and proved these actions. The Naturally grown seed in Iraqi-Kurdistan Region also were studied for its chemical contents and biological activities. Vegetable oils occur in various plant parts mainly concentrated in the seeds.
In this study comparison was made between the fatty acid patterns of two plant seeds, Silybum marianum and Nigella sativa. Seed sample of Silybum marianum and Nigella sativa were exposed for extraction and isolation of the fatty acid contents using two different solvents (petroleum ether and n-hexane) at 60-80oC using soxhlet apparatus and the oily extract
... Show MoreBackground: This study aimed to evaluate the effect of zirconia different surface treatments (primer, sandblast with 50μmAl2O3, Er,Cr:YSGG laser) on shear bond strength between zirconia surface and resin cement. Material and methods: Sixty presintered Y-TZP zirconia cylinder specimens (IPS e.max ZirCAD, Ivoclar vivadent) will be fabricated and sintered in high temperature furnace of (1500 C for 8 hours) according to manufacturer’s instructions to the selected size and shape of (5mm. in diameter and 6mm in height). All specimens were ground flat using 600.800.1000.1200, aluminum oxide abrasive paper to obtain a standardized surface roughness. Surface roughness values were then recorded in µm using surface roughness tester (profi
... Show MoreAccelerates operating managements in the facilities contemporary business environment toward redefining processes and strategies that you need to perform tasks of guaranteeing them continue in an environment performance dominated by economic globalization and the circumstances of uncertainty attempt the creation of a new structure through multiple pages seek to improve profitability and sustainable growth in performance in a climatefocuses on the development of institutional processes, reduce costs and achieve customer satisfaction to meet their demands and expectations are constantly changing. The research was presented structural matrix performance combines methodology Alsigma in order to improve customer satisfaction significantly bet
... Show MoreObjective: This study was designed to investigate some possible therapeutic mechanisms of pentoxifylline and sildenafil in the treatment of colorectal carcinoma induced by 1, 2 dimethylhydrazines in rats. Methods: Rats were allocated into seven groups, negative control, colon cancer induced by 1,2,dimethylhydrazine, 5-fluorouracil (5-FU) (50 mg/kg)-treated, pentoxifylline (PTX) (50 mg/kg)-treated, sildenafil (0.7 mg/kg)-treated groups; the two other groups set as colon cancer induced group treated with PTX (50 mg/kg) plus 5-FU(50 mg/kg) and sildenafil (0.7 mg/kg) plus 5-FU (50 mg/kg), respectively. Results: Biochemical results revealed significant elevation of serum carcinoembryonic antigen (CEA) levels, carbohydrate19-9 antigen (CA19-9) as
... Show MoreIdioms are a very important part of the English language: you are told that if you want to go far (succeed) you should pull your socks up (make a serious effort to improve your behaviour, the quality of your work, etc.) and use your grey matter (brain).1 Learning and translating idioms have always been very difficult for foreign language learners. The present paper explores some of the reasons why English idiomatic expressions are difficult to learn and translate. It is not the aim of this paper to attempt a comprehensive survey of the vast amount of material that has appeared on idioms in Adams and Kuder (1984), Alexander (1984), Dixon (1983), Kirkpatrick (2001), Langlotz (2006), McCarthy and O'Dell (2002), and Wray (2002), among others
... Show MoreOne of the diseases on a global scale that causes the main reasons of death is lung cancer. It is considered one of the most lethal diseases in life. Early detection and diagnosis are essential for lung cancer and will provide effective therapy and achieve better outcomes for patients; in recent years, algorithms of Deep Learning have demonstrated crucial promise for their use in medical imaging analysis, especially in lung cancer identification. This paper includes a comparison between a number of different Deep Learning techniques-based models using Computed Tomograph image datasets with traditional Convolution Neural Networks and SequeezeNet models using X-ray data for the automated diagnosis of lung cancer. Although the simple details p
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