Culture Positive Brucella Endocarditis in a Case of Baloon Mitral Valvotomy

Brucella endocarditis is a rare condition which occurs as a focal complication in chronic brucellosis cases. We report a rare brucella endocarditis case in a RVHD patient. A 26 years old male was admitted with fever on off for almost one year. The blood culture yielded growth of Brucella melitensis after ten days of incubation. Isolated colonies were reconfirmed as Brucella species by PCR study. Patient’s serum tested positive for brucella slide agglutination test and STAT titer was 640IU. Echocardiography showed vegetation on mitral valve. Patient was treated with both medical and surgical intervention. After chemotherapy, patient’s blood culture was sterile, slide agglutination & STAT (40IU) were negative. Repeat echocardiography showed no fresh vegetation. Considering high mortality rate (80%) in Brucella endocarditis, it is very important for clinicians to suspect it. Prompt antibiotic therapy and surgical intervention is life saving in fatal cases

Trust Model for Optimized Cloud Services

Cloud computing with its inherent advantages draws attention for business critical applications, but concurrently expects high level of trust in cloud service providers. Reputation-based trust is emerging as a good choice to model trust of cloud service providers based on available evidence. Many existing reputation based systems either ignore or give less importance to uncertainty linked with the evidence. In this paper, we propose an uncertainty model and define our approach to compute opinion for cloud service providers. Using subjective logic operators along with the computed opinion values, we propose mechanisms to calculate the reputation of cloud service providers. We evaluate and compare our proposed model with existing reputation models

Nanotechnology Revolutionized Human Civic

Nanotechnology could bring about a life-changing revolution in human life, this vision of nanoscience ultimately combines the science and engineering of man-made and biological entities, controlled at the nanometre scale, and assembled into complex, engineered structures that can interact with their surroundings at dimensions ranging from that of molecules to that of humans and beyond.Nanotechnology is necessarily a multidisciplinary field which encompasses and draws from the knowledge of several diverse technological fields of study including chemistry, physics, molecular biology, material science, computer science, and engineeringnanotechnology is becoming ever more deeply embedded in today’s life, so it is a critical moment for communicating the huge public ,for its importance ,this study highlights the use of nanotechnology in all aspects for the human development like medical fields ,environment maintenance, drug deliveryand also lead role in evolution development, Industrial applications include sensing as biosensors in textiles, electronics and the life sciences industries. This paper mostly highlights the research in nanotechnology will connoisseur the existence on earth

IIT Bombay, IIT Hyderabad researchers study changes in travel pattern due to covid-19 crisis

A study by researchers Indian Institutes of Technology in Bombay (IIT-B) and Hyderabad (IITH) that looked into the impact of Covid-19 outbreak on daily commute, especially the transition phase till the national lockdown period, found that more people shifted to private transport

Health -related quality of life in multiple sclerosis: Measurement, predictors and utilization in routine clinical practice

There are a large number of patient-reported questionnaires to assess health-related quality of life (HRQoL) in patients with multiple sclerosis (MS). In order to make a recommendation for use in clinical practice, a comparison of their psychometric properties is necessary. In addition to accurate assessment, it is also necessary to identify factors that have a significant impact on HRQoL. Further, lack of use of HRQoL information in clinical practice warrants examination of attitudes and behavior of neurologists about HRQoL assessment and their intention to consider incorporating HRQoL information in their decision making. This study collected data from patients with MS as well as neurologists and consisted of two phases. Phase I involved collection of primary data from non-institutionalized patients with MS. Data from Phase I was used to measure HRQoL, identify factors affecting HRQoL, and compare the measures on their psychometric properties. A mail survey of neurologists was performed in Phase II. This data facilitated investigation of factors that have a significant influence on neurologists\u27 intention to assess HRQoL information in clinical practice. Possible predictors of intention such as: attitude, subjective norms, perceived behavior control and practice characteristics were included. Based on analyses of Phase I, no measure emerged clearly or consistently better or worse than the others in terms of psychometric properties. Hence, a recommendation of one particular measure for use in MS-related clinical practice cannot be substantiated. The choice of a measure ultimately rests on the neurologist and may be related to their perception of its usefulness and their intention to use such information in the routine care. With respect to predictors of HRQoL, visual function among other factors was found to have a significant and independent impact on HRQoL in patients with MS. This suggests that visual screening should be performed periodically using patient-reported questionnaires in addition to conventional tests of visual acuity. Over 90% of neurologists reported that they did not use standardized HRQoL questionnaires in clinical practice. Organizations such as the American Academy of Neurology and fellow neurologists can exert significant influence on neurologists\u27 intention to assess HRQoL information in clinical practice

Multilingual Cyberbullying Detection System

Indiana University-Purdue University Indianapolis (IUPUI)Since the use of social media has evolved, the ability of its users to bully others has increased. One of the prevalent forms of bullying is Cyberbullying, which occurs on the social media sites such as Facebook©, WhatsApp©, and Twitter©. The past decade has witnessed a growth in cyberbullying – is a form of bullying that occurs virtually by the use of electronic devices, such as messaging, e-mail, online gaming, social media, or through images or mails sent to a mobile. This bullying is not only limited to English language and occurs in other languages. Hence, it is of the utmost importance to detect cyberbullying in multiple languages. Since current approaches to identify cyberbullying are mostly focused on English language texts, this thesis proposes a new approach (called Multilingual Cyberbullying Detection System) for the detection of cyberbullying in multiple languages (English, Hindi, and Marathi). It uses two techniques, namely, Machine Learning-based and Lexicon-based, to classify the input data as bullying or non-bullying. The aim of this research is to not only detect cyberbullying but also provide a distributed infrastructure to detect bullying. We have developed multiple prototypes (standalone, collaborative, and cloud-based) and carried out experiments with them to detect cyberbullying on different datasets from multiple languages. The outcomes of our experiments show that the machine-learning model outperforms the lexicon-based model in all the languages. In addition, the results of our experiments show that collaboration techniques can help to improve the accuracy of a poor-performing node in the system. Finally, we show that the cloud-based configurations performed better than the local configurations