Assessment of alumina nano fluid as a coolant in double pipe gas cooler for trans-critical CO2 refrigeration cycle

In this study, the performance of an alumina nanofluid cooled double pipe gas cooler fortrans-critical C02 refrigeration cycle is theoretically compared to that of water cooled gas cooler. Equal pumping power comparison criterion is adopted besides conventional equal Reynolds number comparison base. Nanofluid is loaded with 0.5%, 1.5% and 2.5% of particle volume fraction under turbulent flow conditions. Drastic variation of thermal and transport properties of CO2 in the vicinity of pseudo criticai temperature is taken care of by employing an appropriate discretization technique. Effect of gas cooler pressure, Reynolds number, pumping power and nanoparticle volume fraction on COP of refrigeration system, gas cooler overall conductance, effectiveness and its capacity has been studied. Results indicate that at equal Reynolds number comparison, performance for alumina nanofluid cooled system is better than that of water cooled system. On the other hand, at equal pumping power comparison basis, the performance of water cooled system is superior. Even at equal mass flow rate comparison criterion, the performance of nanofluid cooled system degrades with increase in particle volume fraction. This study is expected to help to assess the nano fluid as a coolant before expensive experimentation

ACCURACY OF FNAC IN FEMALE BREAST LESIONS

Background: Various breast lesions are common lesions in females with a wide range of variability from inflammatory lesions, benign and malignant breast lesions. FNAC is first diagnostic test, as it has high sensitivity and specificity. Lesions were categorized on FNA into inflammatory lesions, benign neoplastic lesions, malignant neoplastic lesions, and suspicious for malignancy. Methods: This was a retrospective study done in the Department of Pathology, P.D.U. Medical College, Rajkot, Gujarat State, India from Aug-2013 to July 2014. FNAC of 392 cases of breast lesions were done and reported by expert pathologist. The histopathological specimens when available were reported by other pathologist without prior knowledge of FNA diagnosis. Sensitivity, Specificity and Accuracy of FNA diagnosis were then analyzed. Results: A total of 392 cases of breast lesions were diagnosed on FNA, out of them histopathological correlation was available in 87 cases. Benign breast lesions are more common in younger patients in 21-30 yrs age group and malignant lesions are more common in old age group patients of 41-60 yrs with few exceptions. In our setup fibroadenoma is the most common benign breast lesion (26.53%) and ductal carcinoma (17.86%) is the most common malignant lesion. The sensitivity, specificity and accuracy of FNAC for malignant lesions were found to be 91.43%, 100% and 96.25% respectively. Conclusion: FNAC is an effective and valid tool as the first line diagnostic modality in the preoperative diagnosis of the malignant and benign breast lesions.KEYWORDS: FNAC; Breast lesions; Fibroadenoma; Ductal carcinoma

ACCURACY OF FNAC IN FEMALE BREAST LESIONS

Background: Various breast lesions are common lesions in females with a wide range of variability from inflammatory lesions, benign and malignant breast lesions. FNAC is first diagnostic test, as it has high sensitivity and specificity. Lesions were categorized on FNA into inflammatory lesions, benign neoplastic lesions, malignant neoplastic lesions, and suspicious for malignancy. Methods: This was a retrospective study done in the Department of Pathology, P.D.U. Medical College, Rajkot, Gujarat State, India from Aug-2013 to July 2014. FNAC of 392 cases of breast lesions were done and reported by expert pathologist. The histopathological specimens when available were reported by other pathologist without prior knowledge of FNA diagnosis. Sensitivity, Specificity and Accuracy of FNA diagnosis were then analyzed. Results: A total of 392 cases of breast lesions were diagnosed on FNA, out of them histopathological correlation was available in 87 cases. Benign breast lesions are more common in younger patients in 21-30 yrs age group and malignant lesions are more common in old age group patients of 41-60 yrs with few exceptions. In our setup fibroadenoma is the most common benign breast lesion (26.53%) and ductal carcinoma (17.86%) is the most common malignant lesion. The sensitivity, specificity and accuracy of FNAC for malignant lesions were found to be 91.43%, 100% and 96.25% respectively. Conclusion: FNAC is an effective and valid tool as the first line diagnostic modality in the preoperative diagnosis of the malignant and benign breast lesions.KEYWORDS: FNAC; Breast lesions; Fibroadenoma; Ductal carcinoma

Evolution of Conversations in the Age of Email Overload

Email is a ubiquitous communications tool in the workplace and plays an important role in social interactions. Previous studies of email were largely based on surveys and limited to relatively small populations of email users within organizations. In this paper, we report results of a large-scale study of more than 2 million users exchanging 16 billion emails over several months. We quantitatively characterize the replying behavior in conversations within pairs of users. In particular, we study the time it takes the user to reply to a received message and the length of the reply sent. We consider a variety of factors that affect the reply time and length, such as the stage of the conversation, user demographics, and use of portable devices. In addition, we study how increasing load affects emailing behavior. We find that as users receive more email messages in a day, they reply to a smaller fraction of them, using shorter replies. However, their responsiveness remains intact, and they may even reply to emails faster. Finally, we predict the time to reply, length of reply, and whether the reply ends a conversation. We demonstrate considerable improvement over the baseline in all three prediction tasks, showing the significant role that the factors that we uncover play, in determining replying behavior. We rank these factors based on their predictive power. Our findings have important implications for understanding human behavior and designing better email management applications for tasks like ranking unread emails.Comment: 11 page, 24th International World Wide Web Conferenc

Karakterizacija gena ICP4 patogenoga virusa Marekove bolesti dokazanoga u peradi u Gujaratu u Indiji lančanom reakcijom polimerazom i sekvenciranjem

A total of 34 clinical samples were collected for detection of Marek’s disease virus (MDV) by polymerase chain reaction assays using primers M1.1/M1.8 to amplify a region of the ICP4 gene in layer birds of poultry. Primer set M1.1/M1.8 amplified a 318 bp product as against the expected 247 bp product in 30 samples out of 34 samples tested. To confirm the result, this primer was subjected to NCBI BLAST, and it was found that the primer specific segment of 318 bp does exist in the published sequence of Md5 and Md11BAC. The PCR product was sequenced and resulted in 273bp by direct sequencing. The sequence was analysed using NCBI blast and Clustal W with the published sequence of Gallid herpes virus-2 giving a matching score of 97, 96 and 90% indicating a highly conserved region. This shows that the MDV is prevalent in Gujarat.Prikupljena su 34 uzorka kliničkoga materijala nesilica za dokaz virusa Marekove bolesti lančanom reakcijom polimerazom uporabom početnica M1.1/M1.8 za umnažanje područja gena ICP4. Uporabom seta početnica M1.1/M1.8 umnožen je proizvod od 318 bp u odnosu na očekivani od 247 bp u 30 od 34 pretražena uzorka. Za potvrdu rezultata početnica je bila analizirana pomoću programa NCBI BLAST, te je ustanovljeno da početnica za specifičan odsječak od 318 bp postoji u objavljenoj sekvenci Md5 i Md11BAC. Proizvod PCR-a bio je izravno sekvenciran te je ustanovljeno da sadrži 273 bp. Slijed je bio analiziran uporabom programa NCBI BLAST i Clustal W i uspoređen s objavljenim slijedom za kokošji herpesvirus 2 te je ustanovljena podudarnost od 97, 96 i 90% što upućuje na genski jako očuvano područje. To pokazuje da je virus Marekove bolesti proširen u Gujaratu

Team-level programming of drone sensor networks

Autonomous drones are a powerful new breed of mobile sensing platform that can greatly extend the capabilities of traditional sensing systems. Unfortunately, it is still non-trivial to coordinate multiple drones to perform a task collaboratively. We present a novel programming model called team-level programming that can express collaborative sensing tasks without exposing the complexity of managing multiple drones, such as concurrent programming, parallel execution, scaling, and failure recovering. We create the Voltron programming system to explore the concept of team-level programming in active sensing applications. Voltron offers programming constructs to create the illusion of a simple sequential execution model while still maximizing opportunities to dynamically re-task the drones as needed. We implement Voltron by targeting a popular aerial drone platform, and evaluate the resulting system using a combination of real deployments, user studies, and emulation. Our results indicate that Voltron enables simpler code and produces marginal overhead in terms of CPU, memory, and network utilization. In addition, it greatly facilitates implementing correct and complete collaborative drone applications, compared to existing drone programming systems

Triage and diagnostic accuracy of Online Symptom Checkers: a systematic review

Background: In the context of a deepening global shortage of health workers, and particularly the COVID-19 pandemic, there is growing international interest in and use of online symptom checkers (OSCs). However, the evidence surrounding the safety and accuracy of OSCs remains inconclusive so far. The triage and diagnostic accuracy of these tools is an essential aspect that needs to be addressed before pushing any further implementation. Objective: This systematic review aimed to summarize the existing peer-reviewed literature evaluating the triage accuracy (directing users to appropriate services based on their presenting symptoms) and diagnostic accuracy of OSCs aimed at lay users for general health concerns. Methods: Searches were conducted in Medline, Embase, CINAHL, HMIC and Web of Science. We included peer-reviewed studies published in English between 1 January 2010 and 17 February 2022 with a quantitative assessment of triage and/or diagnostic accuracy of OSCs directed at lay users. We excluded tools supporting health professionals, and disease- or speciality-specific OSCs. Screening and data extraction were carried out independently by two reviewers for each study. We performed a descriptive narrative synthesis. Results: 21,284 studies were screened and 15 were included. Six studies reported on both triage and diagnostic accuracy, eight focused on triage accuracy, and one on diagnostic accuracy. Diagnostic and triage accuracy varied between studies and OSCs; most studies showed suboptimal diagnostic and triage accuracy. Frequency and urgency of the condition were the main variables that affected the levels of diagnostic and triage accuracy, along with specific features of the OSCs. The impact of each variable differed across tools and studies, making it difficult to draw any solid conclusions. Included studies had either a moderate or high risk of bias according to the revised tool for the Quality Assessment of Diagnostic Accuracy Studies 2. Conclusions: While OSCs have significant potential to provide accessible and accurate health advice and triage recommendations to users, more research is needed to validate their triage and diagnostic accuracy prior to wide scale adoption in community and healthcare settings. Future studies should aim to use a common methodology and/or agreed standard for evaluation to facilitate objective benchmarking and validation

Renaissance of the ~1 TeV Fixed-Target Program

This document describes the physics potential of a new fixed-target program based on a ~1 TeV proton source. Two proton sources are potentially available in the future: the existing Tevatron at Fermilab, which can provide 800 GeV protons for fixed-target physics, and a possible upgrade to the SPS at CERN, called SPS+, which would produce 1 TeV protons on target. In this paper we use an example Tevatron fixed-target program to illustrate the high discovery potential possible in the charm and neutrino sectors. We highlight examples which are either unique to the program or difficult to accomplish at other venues.Comment: 31 pages, 11 figure

Characterizing cognitive deficits and dementia in an aging urban population in India.

Rapid rise in the population of older adults in India will lead to the need for increased health care services related to diagnosis, management, and long-term care for those with dementia and cognitive impairment. A direct approach for service provision through memory clinics can be an effective, successful, and sustaining means of delivering specialized health care services. We have established a memory clinic in Mumbai, India by employing the diverse clinical skills available in Indian academic institutions, diagnostic and research expertise of clinicians and psychologists, and the support of the U.S. National Institutes of Health. Our project involved recruitment of patients, clinical and neuropsychological assessment, and standardized diagnostic procedures, demonstrating the feasibility of using research methods to develop a memory clinic. In this paper, we describe the development of a community-based memory clinic in urban India, including linguistic and cultural factors and present detailed results, including diagnostic characterization, on 194 subjects with various stages of cognitive deficits. Our findings support the feasibility of developing a memory clinic in a public hospital and successful use of research diagnostic criteria to categorize cognitive deficits observed in this population, which may be used to inform the development of other such clinics