End Organ Damage in Hypertensive Geriatric Age Group: A Cross Sectional Study

Objective: Hypertension is one of the common risk factors for cardiovascular and cerebrovascular diseases/disorders A developing country like India faces the double burden of communicable and non-communicable diseases; of the which, hypertension is the most important treatable cause of mortality and morbidity with loss of functional capacity and decline in the quality of life. Aim: To study the prevalence of end organ damage in the hypertensive geriatric age group. Method: The present study was a cross sectional study, conducted in 150 elderly patients admitted in MGM Hospital, Navi Mumbai, India with the diagnosis of stage I or II hypertension from 2011 to 2013. Results: Data analysis of the present study showed that 68% of elderly population aged between 60 to 69 years were suffering from hypertension. Compared to males, females had a higher rate of target organ damage. This study found that out of all patients with total end organ damage, 54.6 % had CVS complications, 15.7 % had hypertensive retinopathy, 25.9 % and 18.51 had raised creatinine and proteinuria respectively. 19.4 % had cerebrovascular accident (CVA) complications. Among Cardiovascular related complications Coronary artery disease (CAD) was found in 21 patients, out of them 7 had Congestive cardiac Failure (CCF). Left Ventricular Hypertrophy (LVH) was the most common complication and seen in 38 patients. 13.8 % patients had Regional Wall Motion Abnormality (RWMA) Conclusion: The present study concluded that Isolated Systolic Hypertension (ISH) is the commonest type of hypertension in geriatric age group. This study concluded that the most common risk factors of HTN in the elderly are sedentary life style, dyslipidemia and extra salt intake while the most common end organ damage was observed to be Left Ventricular Hypertrophy followed by renal dysfunction

MUSiC : a model-unspecific search for new physics in proton-proton collisions at root s=13TeV

Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.Peer reviewe

Measurement of prompt open-charm production cross sections in proton-proton collisions at root s=13 TeV

The production cross sections for prompt open-charm mesons in proton-proton collisions at a center-of-mass energy of 13TeV are reported. The measurement is performed using a data sample collected by the CMS experiment corresponding to an integrated luminosity of 29 nb(-1). The differential production cross sections of the D*(+/-), D-+/-, and D-0 ((D) over bar (0)) mesons are presented in ranges of transverse momentum and pseudorapidity 4 < p(T) < 100 GeV and vertical bar eta vertical bar < 2.1, respectively. The results are compared to several theoretical calculations and to previous measurements.Peer reviewe

A Fault-Independent Transitive Closure Algorithm for Redundancy Identification

We present a fault-independent redundancy identification algorithm. The controllabilities and observabilities are defined as Boolean variables and represented on an implication graph. A major enhancement over previously published results is that we include all direct and partial implications, as well as node fixation. The transitive closure, whose computation now requires a new algorithm, provides many redundant faults in a single-pass analysis. Because of these improvements, we obtain better performance than all previous faultindependent methods at execution speeds that are much faster than any exhaustive ATPG. For example, in the s9234 circuit more than half of the redundant faults are found in just 14 seconds on a Sparc 5. All 34 redundant faults of c6288 are found in one pass. Besides, our single pass procedure can classify faults according to the causes of their redundancy. The weakness of our method, as we illustrate by examples, lies in the lack of a formulation for the observabilities of fanout stems

Safety, immunogenicity and efficacy of an mRNA-based COVID-19 vaccine, GLB-COV2-043, in preclinical animal models

Abstract Several COVID-19 vaccines, some more efficacious than others, are now available and deployed, including multiple mRNA- and viral vector-based vaccines. With the focus on creating cost-effective solutions that can reach the low- and medium- income world, GreenLight Biosciences has developed an mRNA vaccine candidate, GLB-COV2-043, encoding for the full-length SARS-CoV-2 Wuhan wild-type spike protein. In pre-clinical studies in mice, GLB-COV2-043 induced robust antigen-specific binding and virus-neutralizing antibody responses targeting homologous and heterologous SARS-CoV-2 variants and a TH1-biased immune response. Boosting mice with monovalent or bivalent mRNA-LNPs provided rapid recall and long-lasting neutralizing antibody titers, an increase in antibody avidity and breadth that was held over time and generation of antigen-specific memory B- and T- cells. In hamsters, vaccination with GLB-COV2-043 led to lower viral loads, reduced incidence of SARS-CoV-2-related microscopic findings in lungs, and protection against weight loss after heterologous challenge with Omicron BA.1 live virus. Altogether, these data indicate that GLB-COV2-043 mRNA-LNP vaccine candidate elicits robust protective humoral and cellular immune responses and establishes our mRNA-LNP platform for subsequent clinical evaluations