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Endometrial receptivity plays a basic role in successful embryo implantation and pregnancy outcomes and can be assessed by many of non-invasive markers. Our study evaluated the impact of two of these markers specifically serum progesterone and endometrial thickness at embryo transfer day in prediction pregnancy outcomes on (60) patients attempting medicated frozen embryo transfer (FET) cycles. All patients were received sequential estrogen & progesterone medications for endometrial preparation then submitted to measurements of endometrial thickness (EMT) by transvaginal-ultrasound (TV-US) & serums progesterone (P) analysis at the embryo transfer day, thereafter day 3 verified-thawed embryos grades (A±B) were transferred. Compacted (decreased) EMT was seen in 48.3% of patients with higher pregnancy rate (PR) of 58.6%t than non-compacted EMT (no change or increased) which was seen in 51.7% of patients with (PR) of 29.0%, (P value=0.021). However ongoing pregnancy rate (Ong PR) not differed significantly between both groups (44.8% in compacted vs 25.8% in non-compacted, P value=0.053), also the means of serum P not differed between pregnant and non-pregnant patients (P value=0.374). ROC curves for Ong PR prediction in relations to endometrial compaction & serum progesterone at embryo transfer day were poor (AUC= 0.630, & AUC=0.576, respectively). This study suggested that endometrial compaction or serum P levels measurements at embryo transfer day were poor predictors for ongoing pregnancy where any kind of EMT changes (decreased or not) seen after P administration not significantly affect pregnancy outcomes in frozen-thaw cycles of cleavage stage embryos transfer.

Background There is scarcity of studies from the Middle East had address the use of guideline-recommended secondary cardiovascular prevention medications among individuals who survived at least one decade after coronary revascularization (CR) by percutaneous coronary intervention (PCI) or coronary bypass graft surgery (CABG). Purpose An objective of the DECADE-PLUS study was to evaluate the use of antiplatelet agents (APA), statins, beta blockers (BB) and renin-angiotensin system inhibitors (RASI) in such patients. Methods We enrolled consecutive patients seen at ambulatory or in-patient settings with the following inclusion criteria: patient had PCI or CABG >10 years ago, age >18 years at the time of the index CR, and availability of data of currently used medications. Results Of 892 patients enrolled, 600 (67.3%) had PCI and 292 (32.7%) had CABG. Patients had CR >20 years ago (100; 11.2%), 11–19 years ago (536; 60.1%) or 10 years ago (256; 28.7%). Women comprised 13.8% of the whole cohort, and mean age at index CR was 53.4+9.4 years. Hypertension, diabetes mellitus, and dyslipidemia were present in 398 (44.6%), 351 (39.3%) and 290 (32.5%), respectively at the time of CR. Overall, aspirin was used in 745 (83.5%), and a second APA in 329 (36.9%). Statins, BB and RASI were used in 83.7%, 71.7% and 54.3%, respectively. Univariate analysis of predictors of lower rates of use of these medications showed that survival time (10 years vs. >20 years), and revascularization type (PCI vs. CABG) had no impact on use of these medications. However, nondiabetics were less often prescribed second APA (odds ratio (OR) 0.78, p=0.005) and RASI (OR 0.85, p=0.007) compared with diabetics. Furthermore, compared with men, women were less often prescribed aspirin (OR 0.66, p Conclusion Middle East patients surviving at least one decade after coronary revascularization have a high rate of utilization of secondary cardiovascular medications compared with western data. However, women and non-diabetic individuals have lower rate of use of these medications compared with diabetics and men, respectively. Larger studies are warranted to explore the reasons behind these discrepancies and thus represent potential targets for positive intervention. Funding Acknowledgement Type of funding source: None

A new micromechanical damage model for predicting the effect of matrix-cracking on the mechanical behavior of the composite material is proposed. The model is based on the volumetric change that occurred due to the presence of cracks in a composite lamina due to uniaxial off-axis loading. It determines the volumetric crack-density (VCD) by combining the macro-mechanical and micro-mechanical principles. A representative volume-element is proposed that determines the material mechanical properties (E1, E2, G12 and ν 12 ) in terms of crack-density, fiber and matrix properties and initial volume-fraction of fibers. The rule-of-mixture in combination with Halpin-Tsai model is used to determine the mechanical properties of a cracked composite lamina. It has been shown that, matrix-cracking is the main cause for composite-material nonlinearity. Moreover, the model has been shown to give a reliable and reasonable predictions of the VCD and the tangential damage-factor (TDF) for various fiber/matrix systems using the corresponding available data from literature. An alternative secant damage-factor is being proposed, which has a linear relationship with the VCD. In order to validate the model, two composite materials; Boron/Epoxy (Narmco-5505) and Graphite/Epoxy (4617/Modmor-II), have been considered using laminates at different fiber-orientation angles. The maximum volume-crack-density (MVCD) and maximum secant damage-factor (MSDF) are obtained using equations that depend on the fiber-orientation angle and the initial material mechanical properties.

This paper investigates the design of anomaly detectors and feature sets for Personal Information Number (PIN) authentication on mobile devices. The work involved a selection of raw data feature sets that are extracted from mobile devices, such as finger area, pressure, and timestamp. A set of primary and secondary authentication features have been formulated, which are calculated from the raw data features. The anomaly detectors are based on the outlier concept, where an input PIN's calculated feature is classified as imposter value if it is outside an acceptable zone from a central value such as the mean or median of a set of training values. The Z-Score method is used as the distance function of the anomaly detectors, and three versions are investigated; the standard deviation-based Z-Score, the modified Z-Score which uses the Median-Absolute-Deviation (MAD) and the Average-Absolute-Deviation (AAD) Z-Score function. The three single models are combined into ensemble models. Experimental work resulted in a PIN dataset from 70 subjects, where the data included genuine and imposter PIN data. The primary and secondary authentication features dataset were calculated from the raw features dataset. The results showed that the merged AAD and MAD ensemble model achieved the lowest error rate.