398 research outputs found

    In a Persian Mosque: Revolutionary Shi'a Islam and Independence in Iran

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    Remarks on Interiors and Closures of Weak Open Sets in Bigeneralized Topological Spaces

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    We establish the relationships between the interior and closure operators among the µij -semiopen, µij -preopen, αµij -open, βµij -open sets in bigeneralized topological space

    Multi proxy approach to evaluate and delineate the potential of hot springs in the Kotli District (Kashmir, Pakistan)

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    Tattapani hot springs are located near the Kotli District of Azad Kashmir, Pakistan. This study evaluates these hot springs based on surface geological information, radon emission measurements, hydro-geochemical and isotopic signatures and potential source mechanisms. Field observations reveal that the hot springs are located at the crest of the Tattapani anticline along the faulted contact of Cambrian carbonates with Paleocene siliciclastics. In addition, remnants of igneous intrusions in the Cambrian carbonates are commonly observed. Spatial distribution of radon emissions (ranging between 2.1 and 29.5KBq m-3) indicates an anomalous zone located over the Cambrian-Paleocene faulted contact. Hydro-geochemical data show sodium-bicarbonate affinity of hot springs. The highest surface temperature of these springs is recorded at 60.8ºC. Average reservoir temperatures based on silica and cation geo-thermometers are 101ºC and 115ºC, respectively. Giggenbach ternary diagram (Na-K-Mg) suggests a non-equilibrium state between fluid and rock, whereas isotopic and chemical data indicate heat loss by conductive cooling and mixing with groundwater during the flow of thermal water up to the surface. Oxygen and deuterium isotopes indicate that thermal water is of meteoric origin, rain and/or snow in the north at higher altitudes providing the potential recharge. Furthermore, absence of tritium in the thermal water suggests a residence time of more than 50 years

    Acute phase reactants and lipid profile in acute chest pain presentations: a multimarker approach

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    Background: Cardiovascular diseases cause more deaths and disability and incur greater economic cost than any other illness in the world. Our objective is to study the biological activity and evaluate the diagnostic and prognostic values of acute phase reactants, high sensitivity C-reactive protein (hsCRP) and ferritin in association with traditional lipid profile, in screening subjects who developed chest pain due to cardiac event as indicated by a positive cardiac troponin I (cTnI) test.Methods: In this hospital-based prospective study, a total of 150 cases (n=150), presented consecutively to the emergency department with symptoms of cardiac ischemia and tested positive for troponin I (enzyme-linked flourescent assay), were compared with an equal number of age and gender matched healthy controls (n=150) for hsCRP (immunoturbidimetric assay), ferritin (immunoturbidimetric assay) and lipid profile (enzymatic colorimetric assay).Results: Median serum hsCRP levels were 2.12 mg/L)±1.79 mg/L) than controls (2.82±significantly elevated in cases (3.57 (p0.05) different between the two groups.Conclusions: hsCRP and ferritin are independent novel predictors for cardiovascular risks and events. Lipid profile demonstrates low specificity in such cases.

    Awareness of geriatric welfare services among rural elderly population

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    Background: Elderly population suffers from income loss, decreased social role and increased dependence along with physical and mental problems associated with ageing. Geriatric welfare services are aimed to address this problem related to old age. The main focus of the existing geriatric welfare services are below the poverty line elderly population. However, the benefit from these services can be obtained if elderly population have awareness about these welfare services. Main objective of the study was to study the awareness regarding geriatric welfare services among rural elderly population and its association with gender.Methods: Community based cross- sectional study was carried out at field practice area of Rural Health Training Centre, JN Medical College, AMU, Aligarh, Uttar Pradesh, India by using systematic random sampling with probability proportionate to size among 225 rural elderly individuals using pretested and predesigned questionnaire. Data analysis was done using SPSS 20. Chi square test was used. P value <0.05 was considered significant.Results: Among the geriatric welfare services 28.9% were aware of the social security schemes, 84% were aware of the special govt. facilities, 35.6% were aware of the health insurance schemes. Males had significant higher awareness of geriatric welfare services than the females.Conclusions: The study revealed that awareness of geriatric welfare services among rural elderly population was very low that needs to be addressed to improve utilization of these services.

    Segmentation of fetal 2D images with deep learning: a review

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    Image segmentation plays a vital role in providing sustainable medical care in this evolving biomedical image processing technology. Nowadays, it is considered one of the most important research directions in the computer vision field. Since the last decade, deep learning-based medical image processing has become a research hotspot due to its exceptional performance. In this paper, we present a review of different deep learning techniques used to segment fetal 2D images. First, we explain the basic ideas of each approach and then thoroughly investigate the methods used for the segmentation of fetal images. Secondly, the results and accuracy of different approaches are also discussed. The dataset details used for assessing the performance of the respective method are also documented. Based on the review studies, the challenges and future work are also pointed out at the end. As a result, it is shown that deep learning techniques are very effective in the segmentation of fetal 2D images.info:eu-repo/semantics/publishedVersio

    DNA-Based Applications in Nanobiotechnology

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    Biological molecules such as deoxyribonucleic acid (DNA) have shown great potential in fabrication and construction of nanostructures and devices. The very properties that make DNA so effective as genetic material also make it a very suitable molecule for programmed self-assembly. The use of DNA to assemble metals or semiconducting particles has been extended to construct metallic nanowires and functionalized nanotubes. This paper highlights some important aspects of conjugating the unique physical properties of dots or wires with the remarkable recognition capabilities of DNA which could lead to miniaturizing biological electronics and optical devices, including biosensors and probes. Attempts to use DNA-based nanocarriers for gene delivery are discussed. In addition, the ecological advantages and risks of nanotechnology including DNA-based nanobiotechnology are evaluated
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