Evaluation of eddy viscosity-based models in decaying rotating stratified turbulence

The results of large eddy simulation (LES) using three sub-grid scale models, namely: constant coefficient Smagorinsky, dynamic Smagorinsky, and a dynamic Clark model, for rotating stratified turbulence in the absence of forcing using large-scale isotropic initial condition, are reported here. The LES results are compared to in-house direct numerical simulation (DNS) for establishing grid-independence requirements. Three cases with varying ratios of Brunt-Vaisala frequency to the inertial wave frequency, N / f, have been chosen to evaluate the performance of LES models. The Reynolds number and N / f are chosen as (a) Case 1: Re = 3704, N / f = 5, (b) Case 2: Re = 6667, N / f = 40, and, (c) Case 3: Re = 6667, N / f = 138. This framework is used to illustrate the relative magnitudes of the stratification and rotation which is observed in geophysical flows. Various quantities including turbulent kinetic energy (tke), turbulent potential energy (tpe), total dissipation, potential and total energy spectra, and their fluxes, are analyzed to understand the predictive capability of the various LES models. Results show that all the SGS model predictions are very similar, with the classical Smagorinsky model displaying the highest deviation compared to DNS. The effect of an increase in the value of N / f is also seen in the results of LES with an increase in the oscillations observed in the evolution of tke and tpe and a reduction in dissipation. The spectral analysis shows that the dynamic Clark and Smagorinsky models predict the large-scale physics (\kappa < 10), while the small scales (10 < \kappa < 64) energy is under-predicted.Comment: 12 pages, 10 figure

In silico comparative study of epitopes predicted from different strains of genus parvovirus.

Parvoviruses are typically linear, non-segmented single-stranded DNA viruses, with an average genome size of 5000 nucleotides. Parvoviruses are some of the smallest viruses found in nature. Some have been found as small as 23 nm. Many types of mammalian species have a strain of parvovirus associated with them. Parvoviruses tend to be specific about the taxon of animal they will infect, but this is a somewhat flexible characteristic. Thus, all strains of parvovirus will affect dogs, wolves, and foxes, but only some of them will infect human. Parvovirus is treated with the help of vaccines but the traditional vaccine development process is very expensive and unsafe, with the help of insilico software tools and databases we can predict the epitopes of parvovirus species such as Canine parvovirus, Feline panleukopenia virus, H-1 virus, LUIII virus, Mink enteritis virus, Minute virus of mice, Porcine parvovirus, Raccoon parvovirus, by using Bepipred, CTLpred. These predictions will be useful for reverse vaccinology against parvoviruses infections for cattle and mankind

Area postrema syndrome: an atypical presentation of primary Sjogren's

Neuromyelitis optica spectrum disorder (NMOSD) is a rare autoimmune condition characterized by antibodies against serum aquaporin-4 (AQP4), primarily affecting the optic nerves and spinal cord. This case report sheds light on the diagnostic challenges of area postrema syndrome (APS) as the initial manifestation of Sjogren's syndrome, often misidentified due to its diverse symptomatology. APS, seen in 10% of NMOSD cases, manifests as persistent nausea, vomiting, and uncontrollable hiccups. Left untreated, APS can progress to optic neuritis and longitudinally extensive myelitis, emphasizing the need for early intervention with corticosteroid therapy and immunomodulators. NMOSD commonly coexists with other autoimmune diseases like Sjogren's syndrome and systemic lupus erythematosus. Recent evidence also highlights NMOSD's impact on peripheral organs, particularly skeletal muscles, with elevated creatine kinase levels during acute phases. Understanding the relationship between NMOSD and autoimmune diseases is vital for accurate diagnosis and management, especially in cases of seronegative NMOSD and recurrent attacks, emphasizing comprehensive clinical evaluations and a broader diagnostic approach

IoT Based Gas Leakage Detection and Alert Generation

Nowadays the use of the gas is increased the gas leakage has been a notable issue. The gas leakage causes the wastage of the gas and mainly as its combustible serious harm can be done to the living thing and other property. To overcome such an incident, we are developing a IoT based Gas Leakage Detection and Alert Generating system this will notify the user about the leakage and take the safety measures instantly. The proposed system can be use in the area where the gas is frequently used such as kitchens and industries and even in the gas operated vehicles too. The idea of the system is that the gas sensor is used which detects the presence on the gas in the surrounding atmosphere and if the value of the gas in atmosphere is increased then the threshold value alert is generated by the system and the system can be monitored and controlled remotel

Automated Video and Audio based Stress Detection using Deep Learning Techniques

In today's world, stress has become an undoubtedly severe problem that affects people's health. Stress can modify a person's behavior, ideas, and feelings in addition to having an impact on mental health. Unchecked stress can contribute to chronic illnesses including high blood pressure, diabetes, and obesity. Early stress detection promotes a healthy lifestyle in society. This work demonstrates a deep learning-based method for identifying stress from facial expressions and speech signals.An image dataset formed by collecting images from the web is used to construct and train the model Convolution Neural Network (CNN), which then divides the images into two categories: stressed and normal. Recurrent Neural Network (RNN), which is used to categorize speech signals into stressed and normal categories based on the features extracted by the MFCC (Mel Frequency Cepstral Coefficient), is thought to perform better on sequential data since it maintains the past results to determine the final output

Optimizing Airline Ticket Purchase Timing

Our approach in this paper is to suggest the user to either buy or wait for the purchase of airline tickets.Airline tickets prices are volatile and keep on varying depending on various parameters. Users, not having much information about these parameters, are often forced to buy tickets at high prices. This paper proposes a machine learning based prediction system which uses logistic regression to suggest users to buy the ticket, implying that prices are going to rise in coming days or wait for some time implying prices are going to plummet in coming days. This system also predicts the price of the date user wants to travel

Functional outcome of acetabular fracture fixation by modified Stoppa’s approach

Background: We analysed the clinical and functional outcome of acetabular fracture treated by Modified Stoppa approach. In this study, we also analysis Intraoperative and post-complications of fractures treated by the modified Stoppa apprpoach.Methods: All of the, 20 patients  who needed the anterior approach for the treatment of acetabular fracture at our hospital  from May 2016 To May 2018, were subjected to surgery via modified Stoppa approach. Pre-operative Anterior posterior (AP) view and Judet and CT scan were done to classify the fracture. Functional  outcome was assessed by using the  modified  Merle D’ Aubigne  Postel clinical grading system, radiological outcome by Matta et al and perioperative complication were assessed by retrospectively analyzing medical records and radiographics examination.Results: The clinical results were excellent in 12 cases , very  good  2 in  cases  and  good in  1 cases , fair in 1 case and  poor in 4  cases. Athough the radiological 12 cases had anatomical reduction, 5 imperfect reduction and 3 poor reduction.Conclusions: It can be concluded that the modified Stoppa approach could be used as an alternative to the ilioinguinal approach. It’s provides excellent access and visulaistion to the anterior column and quadrilateral surface and the rates of complication were less as compare to ilioinguinal approach

SCREENING OF ANTIMICROBIAL ACTIVITY OF HERABAL EXTRACT OF MORINDA PUBESCENCEâ€, CHLORHEXIDINE & AMOXICILLIN AGAINST SALIVARY MICROFLORA OF MIXED DENTITION AGE GROUP.

Objectives : In  this  study  the  Antimicrobial  activity  of  active Morinda Pubescenceâ€in  acetone  extracts  were  compared with  Chlorhexidine  and  Amoxicillin  125mg  and  Amoxicillin  250mg  against  human  salivary  microflora  at  different  concentrations. Method : The  antimicrobial  activity  was  assisted  by  measuring  the  inhibition  zones  by well  diffusion  method.  Saliva  was  collected  from  children  of  age  group  6-12  years  having DMFT  value  four  or  above  four.  Ten  salivary  samples  were  tested  for  antimicrobial  property  to  determine  the  Minimum  Inhibition  Concentration  in  order  to  increase  the  reliability  and  precision  of  the  study. Result: This study compares antimicrobial activity of Morinda Pubescenceâ€with  0.2percent  chlorhexidine and Amoxicillin 125mg and Amoxicillin 250mg. The zone of inhibition are measured by excluding the diameter of well. These zones of inhibition are directly proportional to the concentration. Conclusion : The  results  confirmed  the  antimicrobial  potential  of  Morinda Pubescenceâ€plant  at  different  concentrations  in  acetone  extracts  are  comparable  with  chlorhexidine  and Amoxicillin  and  can  be  used  as  preventive  and  therapeutic  measure  in  dentistry

Dental professionals’ knowledge and behavior towards utilization of gloves: a cross-sectional survey

Introduction: The purpose of this study was to assess the perception and beliefs of dental healthcare providers towards usage of different type of gloves.Methods: A self-administered questionnaire was distributed among a total of 241 participants out of which 198 participants (77 interns, 58 dental post-graduate students (PG) and 63 dental faculty members) returned completed questionnaire (response rate of 82.15%). The questionnaire comprised of questions on dental professionals’ preferences for certain types of gloves and the reasons for these preferences, as well as determining their knowledge, beliefs and behavior concerning the use of dental gloves as a means of barrier protection.Results: Dental faculty members had a better knowledge regarding use of gloves as compared to dental PG students and interns. Most of the study participants preferred certain types of gloves for the purpose of better protection followed by comfort. Most of the participants believed that gloves provide full protection as long as there is no visible tear (interns 70.1%; PG students 50%; faculty members 60.3%). Most of the interns (42.9%) and PG students (41.4%) did not know about the fact that petroleum based products affect the integrity of the gloves. 2.6% interns, 29.3% PG students and 20.6% faculty members reported that they would not change gloves during an uninterrupted three-hour long procedure.Conclusion: Most of the interns and PG students had poor knowledge regarding usage of gloves which calls for an action on the part of educators to educate and train dental professionals regarding proper infection control practices