Shisha smoke represents one of the causes of indoor air pollution. Heavy metals represent the main components in shisha smoke. In this research study, the indoor concentrations of heavy metals in shisha smoke café sites was investigated, samples were taken from two café sites (site1, site 2) which differ in their volume. Site1 volume was 77m3, while site 2 was 437.5m3. Sample were taken by using a low volume sampler (sniffer), and then examined by the Atomic Absorption Spectrometry (AAS). The results showed that indoor air shisha smoke samples for both experimental sites have shown a significant amount of heavy metals as compared with control sampling values. The mean concentration values of (Pb, Zn, Co, Ni, Cr) in site 1 were (11.004, 9.544, 24.088, 19.84, 24.98 μg/m3) respectively, while the mean concentration values of these heavy metal in site 2 were (5.574, 6.578, 16.684, 26.114, 9.636 μg/m3) respectively. Results and conclusions referred those indoor air concentrations during shisha smoking times were high and exceed the WHO standard limits
Background: Leukemias and lymphomas are malignant disorders that occur in the blood forming organs and lymphoid tissue respectively. They are classified to types and several subtypes such as acute or chronic, lymphocytic or myelocytic and T-cell or B-cell lymphocytic for leukemias and histologically into Hodgkin’s and Non-Hodgkin’s for lymphomas. Literatures do not contain many research work on magnesium in patients with these disorders, although this mineral is essential for many metabolic, enzymic, regulatory and immune reactions in the human body. Therefore, the present study was aimed to evaluate the level of magnesium in the sera of patients with different types of leukemia and lymphoma.
Patients
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There continues to be a need for an in-situ sensor system to monitor the engine oil of internal combustion engines. Engine oil needs to be monitored for contaminants and depletion of additives. While various sensor systems have been designed and evaluated, there is still a need to develop and evaluate new sensing technologies. This study evaluated Terahertz time-domain spectroscopy (THz-TDS) for the identification and estimation of the glycol contamination of automotive engine oil. Glycol contamination is a result of a gasket or seal leak allowing coolant to enter an engine and mix with the engine oil. An engine oil intended for use in both diesel and gasoline engines was obtained. Fresh engine oil samples were contaminated with fou
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In this paper, we offer and study a novel type generalized soft-open sets in topological spaces, named soft Æ„c-open sets. Relationships of this set with other types of generalized soft-open sets are discussed, definitions of soft Æ„ , soft bc- closure and soft bc- interior are introduced, and its properties are investigated. Also, we introduce and explore several characterizations and properties of this type of sets.
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Many undergraduate learners at English departments who study English as a foreign language are unable to speak and use language correctly in their post -graduate careers. This problem can be attributed to certain difficulties, which they faced throughout their education years that hinder their endeavors to learn. Therefore, this study aims to discover the main difficulties faced by EFL students in language learning and test the difficulty variable according to gender and college variables then find suitable solutions for enhancing learning. A questionnaire with 15 items and 5 scales were used to help in discovering the difficulties. The questionnaire was distributed to the selected sample of study wh
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In this paper, we procure the notions of neutrosophic simply b-open set, neutrosophic simply b-open cover, and neutrosophic simply b-compactness via neutrosophic topological spaces. Then, we establish some remarks, propositions, and theorems on neutrosophic simply
b-compactness. Further, we furnish some counter examples where the result fails.
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The image caption is the process of adding an explicit, coherent description to the contents of the image. This is done by using the latest deep learning techniques, which include computer vision and natural language processing, to understand the contents of the image and give it an appropriate caption. Multiple datasets suitable for many applications have been proposed. The biggest challenge for researchers with natural language processing is that the datasets are incompatible with all languages. The researchers worked on translating the most famous English data sets with Google Translate to understand the content of the images in their mother tongue. In this paper, the proposed review aims to enhance the understanding o
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Background: Urinary tract infections (UTIs) are common in dialysis patients, are associated with increased rate of complications, and may be difficult to diagnose due to often subclinical presentation.
Objectives: To examine theprevalence of urinary tract infections in hemodialysis patients with renal failure, and to evaluate the diagnostic accuracy of pyuria as a screening test in hemodialysis patients.
Patients and Methods: A total of forty hemodialysis patients (27 males and 13 females) with renal failure were selected according to the study criteria. Clean-catch mid-stream urine specimens were obtained from study patients, their urinalysis and bacterial culture were performed according to standard techn
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