Background: Osteoporosis is a progressive systemic skeletal disorder characterized by low bone mass and micro-architectural deterioration of bone tissue spatially in postmenopausal women and its major complication fractures.
Objective: The aim of this study was to find out the significance of serum OC and serum OPN levels with the incidence of osteoporosis and its major complication (fractures).
Patients and Methods: Eighty-five postmenopausal women (PMW) whose ages were fifty years and over categorized into three groups: osteoporosis PMW without VFs (n=30), osteoporosis PMW with VFs (n=28), and healthy PMW (n=27). Sera samples were analyzed for alkaline phosphatase, calcium and phosphorous by using spectrophotometric kit. Serum OC and serum OPN levels were measured by ELISA kits.
Results: Bone Mineral Density (BMD) and T-score were significantly lower in osteoporotic PMW with and without VFs as compared with healthy PMW (p=0.0001, p=0.0001, respectively). Serum OC levels and serum OPN levels were elevated significantly in osteoporotic PMW with and without VFs as compared with healthy PMW (p=0.0001, p=0.0001, respectively), the levels of serum OC and OPN showed a significant positive correlation with age in osteoporotic PMW. There is a significant positive correlation between serum OC levels and serum OPN levels in osteoporotic PMW and non-significant correlation was found in healthy PMW.
Conclusion: The levels of serum OC and OPN can be used as a biochemical indicator in the diagnosis of postmenopausal osteoporotic women
The studied succession (Lower Miocene-Early Middle Miocene) In central Iraq is distinguished by a wide range of fossils, mostly benthic foraminifera, and other fossils including bivalves, gastropods, echinoids fragments, red algae and coral are also presented. Index fossils of benthic foraminifera have been used for the purpose of determining the age of the Euphrates and Jeribe formations, because of their young age, wide geographical distribution and abundance in the selected wells.
The present study involves four selected wells of Ajil oil field and in terms of the biostratigraphy of the Euphrates, Dhiban, and Jeribe formations depending on benthic foraminifera and other associated fossils. Some of these fossils have a short ve
... Show MoreThe ability of A.hydrophila isolates (63 isolates) to form biofilm, was studied and the results showed that fifty six isolates (88.8%) gave positive results in Congo red agar, while 51 isolates ( 80.7%) gave positive results in Christensen method, sixty isolates( 95.2%) produced biofilm on Polystyrene microtiter plates. Results revealed that all drinking water isolates produced biofilm (18 isolates )and 42 raw water isolates produced biofilm (depending on Polystyrene microtiter plates test). The more two efficient isolates(one isolated from drinking water DW, and other isolated from raw watervRW) which produced biofilm was chosen to study the effect of different values of temperature and disinfectants on the ability of A.hydrophila to ad
... Show MoreSteady conjugate natural convection heat transfers in a two-dimensional enclosure filled with fluid saturated porous medium is studied numerically. The two vertical boundaries of the enclosure are kept isothermally at same temperature, the horizontal upper wall is adiabatic, and the horizontal lower wall is partially heated. The Darcy extended Brinkman Forcheimer model is used as the momentum equation and Ansys Fluent software is utilized to solve the governing equations. Rayleigh number (1.38 ≤ Ra ≤ 2.32), Darcy number (3.9 * 10-8), the ratio of conjugate wall thickness to its height (0.025 ≤ W ≤ 0.1), heater length to the bottom wall ratio (1/4 ≤ ≤ 3/4) and inclination angle (0°, 30° and 60°) are the main consid
... Show MoreThe article analyzes the ideological and genre features of L. Ulitskaya's work "The Plague, or OOI in the City", examines the features of building an artistic whole, ways of creating images of characters and their characteristics, stylistic features of the work.
The involvement of maxillofacial tissues in SARS‐CoV‐2 infections ranges from mild dysgeusia to life‐threatening tissue necrosis, as seen in SARS‐CoV‐2‐associated mucormycosis. Angiotensin‐converting enzyme 2 (ACE2) which functions as a receptor for SARS‐CoV‐2 was reported in the epithelial surfaces of the oral and nasal cavities; however, a complete understanding of the expression patterns in deep oral and maxillofacial tissues is still lacking.
The immunohistochemical expression of ACE2 was analyzed in 95 specimens from maxillofacial tissues and 10 specimens o
The study of the chemical and physical factors that induce egg-laying is important for understanding mosquitoes' ecology. These substances may also help assess and control mosquito populations. With this in mind, we have highlighted the attractiveness of Culex pipiens gravid females concerning the containers' color and surface, which has enabled us to show that females of this species are always attracted to large containers of yellow. The ethological tests were made with four biopesticides on the attractiveness of C. pipiens females. It has been observed that the highest densities of the eggs are deposited in the container which contains the biopesticides extracts compared to that which includes the spring wat
... Show MoreAn experiment was carried out to study the effect of soil organic carbon (SOC) and soil texture on the distance of the wetting front, cumulative water infiltration (I), infiltration rate (IR), saturated water conductivity (Ks), and water holding capacity (WHC). Three levels ( 0, 10, 20, and 30 g OC kg-1 ) from organic carbon (OC) were mixed with different soil materials sandy, loam, and clay texture soils. Field capacity (FC) and permanent wilting point (PWP) were estimated. Soil materials were placed in transparent plastic columns(12 cm soil column ), and water infiltration(I) was measured as a function of time, the distance of the wetting front and Ks. Results showed that advance we
Diabetes is a disease caused by high sugar levels. Currently, diabetes is one of the most common diseases in the number of people with diabetes worldwide. The increase in diabetes is caused by the delay in establishing the diagnosis of the disease. Therefore, an initial action is needed as a solution that requires the most appropriate and accurate data mining to manage diabetes mellitus. The algorithms used are artificial neural network algorithms, namely Restricted Boltzmann Machine and Backpropagation. This research aims to compare the two algorithms to find which algorithm can produce high accuracy, and determine which algorithm is more accurate in detecting diabetes mellitus. Several stages were involved in this research, including d
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