Abstract Introduction: MMP3 plays a crucial role in the process of bone erosion in the pathomechanism of rheumatoid arthritis (RA). It acts by removing the outer osteoid layer, which allows the osteoclasts to tightly connect and carry out the subsequent damage to the underlying bone. MMP3 can trigger the production of other MMPs like MMP-1, MMP-7, and MMP-9, it plays a pivotal role in the remodeling of connective tissues. Aim of the study: to assess the influence of MMP-3 serum levels and single-nucleotide polymorphisms of rs679620 in the rheumatoid arthritis patients' group in comparison to the control group. Subjects: eighty eight samples, 45 rheumatoid arthritis patients after being referred by their treating physician for regular RA test. The remaining 43 samples all represent apparently healthy people. The present study investigated the serum concentration of MMP-3 and rs679620 SNPs in the group of patients with RA, in comparison to the control group. Results: The results indicated a significant elevation in MMP-3 levels in RA patients in comparison to healthy individuals (12.75 ± 0.38 vs. 9.69 ± 0.37) and the findings of rs679620 SNPs appeared that the patient group has a non-significant increase in both allele frequency A and genotype frequency AA when compared to the control group (66.2 vs. 52.2 %; p = 0.172; OR = 1.79 and 35.3 vs. 17.4 %; p = 0.229; OR = 2.59) , but a non-significant decrease in both allele frequency C and genotype frequency CC when compared to the control group (2.94 vs. 4.4 %; p = 1.0; OR = 0.67 and 2.9 vs. 4.3 %; p = 1.0; OR = 0.67), as well as a non-significant decrease in allele frequency G and both genotypes frequency GG and AG when compared to the control group (30.9 vs. 43.5 %; p = 0.233; OR = 0.58, 0.0 vs. 8.7 %; p = 0.159; OR = 0.12 and 61.8 vs. 69.6 %; p = 0.585; OR = 0.71 ). Patients carrying the AA and AG genotype, had significantly higher serum levels of MMP-3 compared to control (P= 0.005 and 0.004) respectively. Conclusion: Rs679620 may influence joint destruction via increase MMP-3 production.
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Abstract
The research hypothesizes is that the external Environment
has the responsibility concerning decisions making and behavioral
upon industrial firms. It is, Furthermore, an attempt to review the
problem of closures of private industrial firms in the country, during
the period (1976-1985), i.e. prior to and during the Iraqian- Iranian
war.
The behavioral approach of industrial geography has been
adopted as a theoretical background and the statistical test has
been practiced for the applied purposes.
As result, the research comes out with suggestions,
depending upon previous trials in the field of direction and
formulation of the of the private industrial sector. The chief point
among th
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Abstract. This work presents a detailed design of a three-jointed tendon-driven robot finger with a cam/pulleys transmission and joint Variable Stiffness Actuator (VSA). The finger motion configuration is obtained by deriving the cam/pulleys transmission profile as a mathematical solution that is then implemented to achieve contact force isotropy on the phalanges. A VSA is proposed, in which three VSAs are designed to act as a muscle in joint space to provide firm grasping. As a mechatronic approach, a suitable type and number of force sensors and actuators are designed to sense the touch, actuate the finger, and tune the VSAs. The torque of the VSAs is controlled utilizing a designed Multi Input Multi Output (MIMO) fuzzy controll
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The Electric Discharge (EDM) method is a novel thermoelectric manufacturing technique in which materials are removed by a controlled spark erosion process between two electrodes immersed in a dielectric medium. Because of the difficulties of EDM, determining the optimum cutting parameters to improve cutting performance is extremely tough. As a result, optimizing operating parameters is a critical processing step, particularly for non-traditional machining process like EDM. Adequate selection of processing parameters for the EDM process does not provide ideal conditions, due to the unpredictable processing time required for a given function. Models of Multiple Regression and Genetic Algorithm are considered as effective methods for determ
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