Osteoporosis is related to the loss of bone mass that occurs as part of the natural process of aging and in menopausal women. The aim of this study is to evaluate the levels of interleukin-35 in menopausal women with osteoporosis, that may be used as an early predicted marker of osteoblastic and osteoclastic activity in osteoporosis patients in relation with other diagnostic parameters. Fasting blood samples were obtained from forty Iraqi menopausal women with mean age of (61.06±6.59)years who were newly diagnosed of osteoporosis by physicians at Baghdad Teaching Hospital as patients group(G1). In addition to , twenty two healthy women were included in the study as a control group(G2) with mean age(60.75±6.35). Serum samples were used for determination of Rheumatoid Factor (RF), Alkaline Phosphatase(ALP), Calcium(Ca+2), Phosphate(PO4-3) and Interleukin-35(IL-35),while blood sample was used for determination of Erythrocyte Sedimentation Rate (ESR). The results revealed a highly significant increase in IL-35 level in patients group(G1) compared to the control group(G2) while there are no significant differences in ALP, Ca+2 and PO4-3 levels between G1 and G2. The correlation between serum levels of IL-35 and ALP ,Ca+2 and PO4-3 in menopausal osteoporosis patients was calculated; A significant positive correlation between IL-35 and ALP was found (r=0.277,P<0.05), while there was no significant correlation between IL-35 and each of Ca+2 and PO4-3 levels (r=0.191,P>0.05),(r=0.124,P>0.05) respectively. The conclusion obtained from this study that IL-35 may be used as an additional biomarker in predicting osteoporosis in postmenopausal women.
Purpose: Despite the high clinical accuracy of dynamic navigation, inherent sources of error exist. The purpose of this study was to improve the accuracy of dynamic navigated surgical procedures in the edentulous maxilla by identifying the optimal configuration of intra-oral points that results in the lowest possible registration error for direct clinical implementation. Materials and methods: Six different 4-area configurations were tested by 3 operators against positive and negative controls (8-areas and 3-areas, respectively) using a skull model. The two dynamic navigation systems (X-Guide® and NaviDent®) and the two registration methods (bone surface tracing and fiducial markers) produced four registration groups. The accuracy of the
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A quantitative analysis of geomorphic indices was carried out to understand the impacts of tectonics on the geomorphological relief of drainage basins and alluvial fans. Based on field work, satellite images and aerial photographs interpretation, five stages of alluvial fanswere recognized within the study area. Theyare of a coalesced type, forming continuous belt of Bajada, andcovering vast areas whichextend along the southwestern limb of Hemrinanticline. The alluvial fans’ sediments lie unconformably over pre- Quaternary sediments represented by angular unconformity.The earlier stages of the fanswere developed during the Plio- Pleistocene age, whereas the later stage represents the sediments of the Holocene age. Fourdistinct seg
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An optoelectronic flow-through detector for active ingredients determination in pharmaceutical formulations is explained. Two consecutive compact photodetector’s devices operating according to light-emitting diodes-solar cells concept where the LEDs acting as a light source and solar cells for measuring the attenuated light of the incident light at 180˚ have been developed. The turbidimetric detector, fabricated of ten light-emitting diodes and five solar cells only, integrated with a glass flow cell has been easily adapted in flow injection analysis manifold system. For active ingredients determination, the developed detector was successfully utilized for the development and validation of an analytical method for warfarin determination
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In Baghdad city, Iraq, the traffic volumes have rapidly grown during the last 15 years. Road networks need to reevaluate and decide if they are operating properly or not regarding the increase in the number of vehicles. Al-Jadriyah intersection (a four-leg signalized intersection) and Kamal Junblat Square (a multi-lane roundabout), which are two important intersections in Baghdad city with high traffic volumes, were selected to be reevaluated by the SIDRA package in this research. Traffic volume and vehicle movement data were abstracted from videotapes by the Smart Traffic Analyzer (STA) Software. The performance measures include delay and LOS. The analysis results by SIDRA Intersection 8.0.1 show that the performance of the roundab
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Objectives Bromelain is a potent proteolytic enzyme that has a unique functionality makes it valuable for various therapeutic purposes. This study aimed to develop three novel formulations based on bromelain to be used as chemomechanical caries removal agents. Methods The novel agents were prepared using different concentrations of bromelain (10–40 wt. %), with and without 0.1–0.3 wt. % chloramine T or 0.5–1.5 wt. % chlorhexidine (CHX). Based on the enzymatic activity test, three formulations were selected; 30 % bromelain (F1), 30 % bromelain-0.1 % chloramine (F2) and 30 % bromelain-1.5 % CHX (F3). The assessments included molecular docking, Fourier-transform infrared spectroscopy (FTIR), viscosity and pH measurements. The efficiency
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Visceral leishmaniosis is one of the most fatal old-world neglected disease with estimated 90 thousand worldwide cases emerge each year. In Iraq, the cutaneous and visceral form are endemic but available chemotherapies are either toxic with diverse side effects, expensive available drugs or parasite …
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Natural Language Processing (NLP) deals with analysing, understanding and generating languages likes human. One of the challenges of NLP is training computers to understand the way of learning and using a language as human. Every training session consists of several types of sentences with different context and linguistic structures. Meaning of a sentence depends on actual meaning of main words with their correct positions. Same word can be used as a noun or adjective or others based on their position. In NLP, Word Embedding is a powerful method which is trained on large collection of texts and encoded general semantic and syntactic information of words. Choosing a right word embedding generates more efficient result than others
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