Analytical Study of Two Serial Channels with Priority and Reneging

Most of the studies of queuing theory, which are useful in our daily life has been investigated by many researchers. The present research is the study of pre-emptive priority queuing system consisting two serial channels in stochastic environment. The impatient behavior of customer’s will be discussed with exponential service distribution and Poisson arrivals. Higher priority customers have pre-emptive priority over the low priority customers. The G.F. technique is used to derive the performance measures of high & low priority queues and assuming FCFS discipline in busy schedule of higher priority class. Also evaluate queue behavior graphically and discussed a special case at the end which shows utilization of channels

Luminescence- and fluorescence-based complementation assays to screen for GPCR oligomerization : current state of the art

G protein-coupled receptors (GPCRs) have the propensity to form homo- and heterodimers. Dysfunction of these dimers has been associated with multiple diseases, e.g., pre-eclampsia, schizophrenia, and depression, among others. Over the past two decades, considerable efforts have been made towards the development of screening assays for studying these GPCR dimer complexes in living cells. As a first step, a robust in vitro assay in an overexpression system is essential to identify and characterize specific GPCR-GPCR interactions, followed by methodologies to demonstrate association at endogenous levels and eventually in vivo. This review focuses on protein complementation assays (PCAs) which have been utilized to study GPCR oligomerization. These approaches are typically fluorescence- and luminescence-based, making identification and localization of protein-protein interactions feasible. The GPCRs of interest are fused to complementary fluorescent or luminescent fragments that, upon GPCR di- or oligomerization, may reconstitute to a functional reporter, of which the activity can be measured. Various protein complementation assays have the disadvantage that the interaction between the reconstituted split fragments is irreversible, which can lead to false positive read-outs. Reversible systems offer several advantages, as they do not only allow to follow the kinetics of GPCR-GPCR interactions, but also allow evaluation of receptor complex modulation by ligands (either agonists or antagonists). Protein complementation assays may be used for high throughput screenings as well, which is highly relevant given the growing interest and effort to identify small molecule drugs that could potentially target disease-relevant dimers. In addition to providing an overview on how PCAs have allowed to gain better insights into GPCR-GPCR interactions, this review also aims at providing practical guidance on how to perform PCA-based assays

In Silico Targeting of influenza virus haemagglutinin receptor protein using Diosmetin, Tangeritin, and Anthocyanidins as potential drugs

Influenza viruses cause acute respiratory illnesses in birds, humans, and other mammals, and are a major public health concern around the world. Pandemic flu could be caused by an unforeseen human adaptation of an influenza subtype or strain rather than currently circulating influenza viruses. The need for plant metabolites-based new anti-influenza drugs appears to be urgent. Blocking Haemeagglutinin (HA) protein is one of the most appealing drug targets to halt the growth of the virus. The influenza virus can acquire resistance to currently existing therapies, therefore necessitating the development of new medications. The plant's bioactive metabolites, flavanoids are having potential medicinal efficacy. The current study aimed to identify certain flavonoids (Diosmetin, Tangeritin, and Anthocyanidins) that might interact with the HA protein of the influenza virus and help in inhibiting its growth. We used PyRx v0.8 for virtual screening and docking studies. The highest binding affinity docked structures were analyzed using PyMOL and Discovery Studio Visualizer. The present study revealed that these naturally occurring compounds interacted with HA protein, resulting in the minimization of energy in the range of -5.2 to -7.0 kcal/mol. Diosmetin showed the best binding affinity of -7.0Kcal/mol. The molecular binding studies revealed that Diosmetin, Tangeritin, and Anthocyanidins are potential compounds to test against HA protein and can be used to develop effective anti-influenza agents

Clinical profile of dengue fever infection in patients admitted in tertiary care centre Agroha, Hisar, Haryana, India

Background: Dengue infections can result in a wide spectrum of disease severity ranging from an influenza-like illness (dengue fever; DF) to the life-threatening dengue hemorrhagic fever (DHF)/dengue shock syndrome (DSS). The study was aimed to compare the clinical profile of all patients diagnosed with dengue viral infection at MAMC.Methods: This retrospective study included 188 patients infected with dengue virus, age 6 years to 70 years. Laboratory and haematological data were included.Results: Peak of infection occurred in October 2015 and least number of cases were recorded in December 2015. Common clinical symptoms were fever, and abdominal pain. Common haematological abnormalities were thrombocytopenia and leucopoenia. All patients survived. There was no case of dengue hemorrhagic fever or dengue shock syndrome.Conclusions: Significant differences in the clinical profile is possibly because of infection with different serotypes of dengue virus (DENV), concurrent/sequential infection of more than one serotype, and differences in host immune responses associated with host genetic variations

Autorregulación y trabajo autónomo del estudiante en una actividad de aprendizaje basada en TIC

Este estudio analiza las estrategias de autorregulación en una práctica basada en las TIC con trabajo autónomo del estudiante (TAE). Participaron 53 estudiantes del primer curso de psicología de la Universidad Autónoma de Barcelona que realizaron prácticas de atención y percepción. Los objetivos, contenidos, materiales y evaluación de la práctica se diseñaron y desarrollaron en un entorno en línea. Posteriormente, se aplicaron varios cuestionarios con la finalidad de identificar las autovaloraciones que sobre la actividad autorregulatoria y el nivel de participación manifestaron los estudiantes. Los resultados muestran que los componentes de la dimensión cognitiva de la autorregulación (concepciones de aprendizaje y estrategias metacognitivas) se relacionan significativamente entre sí; sin embargo, no explican las diferencias encontradas en la valoración que los estudiantes realizan de su participación activa. Los factores del componente motivacional (orientación y autoeficacia) se encuentran, igualmente, relacionados entre sí, pero sólo la autoeficacia explica las diferencias observadas en la valoración de la participación activaThis work analyses a self-regulation strategies in autonomous task in an ICT-based learning activity. Participants were 53 psychology undergraduates at the Universidad Autónoma de Barcelona who made a practice in Attention and Perception Psychology. The aims, contents, materials and assessment of the practice were implemented in a virtual environment. We applied several questionnaires in order to identify the students' self-assessments about their self-regulatory activity and participation level. The results showed that cognitive dimension components in the self-regulation construct (conception of learning and metacognitive strategies) are significantly interrelated. However, this dimension does not account for the differences found in self-assessments students' active participation. With regard to motivational dimension factors (goal orientation and self-efficacy), a significant relation between them is observed, but only self-efficacy explains the differences found in self-assessments' active participatio

Cosmological consequences of a Chaplygin gas dark energy

A combination of recent observational results has given rise to what is currently known as the dark energy problem. Although several possible candidates have been extensively discussed in the literature to date the nature of this dark energy component is not well understood at present. In this paper we investigate some cosmological implications of another dark energy candidate: an exotic fluid known as the Chaplygin gas, which is characterized by an equation of state $p = -A/\rho$, where $A$ is a positive constant. By assuming a flat scenario driven by non-relativistic matter plus a Chaplygin gas dark energy we study the influence of such a component on the statistical properties of gravitational lenses. A comparison between the predicted age of the universe and the latest age estimates of globular clusters is also included and the results briefly discussed. In general, we find that the behavior of this class of models may be interpreted as an intermediary case between the standard and $\Lambda$CDM scenarios.Comment: 7 pages, 5 figures, to appear in Phys. Rev.

Potential therapeutic applications of microbial surface-activecompounds

Numerous investigations of microbial surface-active compounds or biosurfactants over the past two decades have led to the discovery of many interesting physicochemical and biological properties including antimicrobial, anti-biofilm and therapeutic among many other pharmaceutical and medical applications. Microbial control and inhibition strategies involving the use of antibiotics are becoming continually challenged due to the emergence of resistant strains mostly embedded within biofilm formations that are difficult to eradicate. Different aspects of antimicrobial and anti-biofilm control are becoming issues of increasing importance in clinical, hygiene, therapeutic and other applications. Biosurfactants research has resulted in increasing interest into their ability to inhibit microbial activity and disperse microbial biofilms in addition to being mostly nontoxic and stable at extremes conditions. Some biosurfactants are now in use in clinical, food and environmental fields, whilst others remain under investigation and development. The dispersal properties of biosurfactants have been shown to rival that of conventional inhibitory agents against bacterial, fungal and yeast biofilms as well as viral membrane structures. This presents them as potential candidates for future uses in new generations of antimicrobial agents or as adjuvants to other antibiotics and use as preservatives for microbial suppression and eradication strategies

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing