106 research outputs found
Efficient data traverse paths for both I/O and computation intensive workloads
Virtualization has accomplished standard status in big business IT industry. Regardless of its across the board reception, it is realized that virtualization likewise presents non-minor overhead when executing errands on a virtual machine (VM). Specifically, a consolidated impact from gadget virtualization overhead and CPU planning idleness can cause execution debasement when computation concentrated undertakings and I/O escalated errands are co-situated on a VM. Such impedance causes additional vitality utilization, too. Right now, present Hylics, a novel network ment that empowers proficient data  navigate ways for both I/O and computation escalated remaining tasks at hand. This is accomplished with the network ment of in-memory document framework and system administration at the hypervisor level. A few significant structure issues are pinpointed and tended to during our model execution, including proficient transitional data sharing, network administration offloading, and QoS-mindful memory use the executives. In light of our genuine sending on KVM, Hylics can fundamentally improve computation and I/O execution for hybrid workloads
Data Mining based Diagnosis and Treatment of Diabetes
Data science methods have the potential to benefit other scientific fields by shedding new light on common questions. One such task is help to make predictions on medical data. Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various traditional methods, based on physical and chemical tests, are available for diagnosing diabetes. The methods strongly based on the data mining techniques can be effectively applied for high blood pressure risk prediction. In this paper, we explore the early prediction of diabetes via five different data mining methods including Gaussian mixture model (GMM), support vector machine (SVM), Logistic regression, ELM, ANN (Artificial Neural Network). The experiment result proves that ANN provides the highest accuracy than other techniques
Prediction Model for Obstructive Sleep Apnea from Facial Depth Maps using Transfer Learning
Obstructive Sleep Apnea (OSA) occurs when obstruction happens repeatedly in the airway during sleep due to relaxation of the tongue and airway-muscles. Usual indicators of OSA are snoring, poor night sleep due to choking or gasping for air and waking up unrefreshed. OSA diagnosis is costly both in the monetary and timely manner. That is why many patients remain undiagnosed and unaware of their condition. Previous research has shown the link between facial morphology and OSA. In this paper, investigated the application of deep learning techniques to diagnose the disease through depth map of human facial scans. Depth map will provide more information about facial morphology as compared to the plain 2-D color image. Even with very less amount of sample data, we can get around 69 validation accuracy using transfer learning. We are predicting patients with above moderate > 15 or below moderate ≤ 15 OSA. Finally, the simulations revealed that the proposed VGG 19 resulted in superior performance as compared to existing model
Retrospective survey on efficacy of cefixime-ofloxacin 400 milligram sustained release fixed-dose combination tablet for enteric fever in community settings of India
Background: The World Health Organization (WHO) estimate for annual global incidence of typhoid fever, about 21 million cases, is probably an underestimate because of poor diagnostics. Multi-drug resistant (MDR) isolates and nalidixic resistant isolates have limited the choice of oral drugs available for the treatment of typhoid fever. Recently the Indian regulatory authority approved an oral fixed dose combination (FDC) of cefixime and ofloxacin for the treatment of typhoid fever.Methods: Retrospective survey was planned to observe the efficacy of cefixime-ofloxacin 400 mg sustained release (SR) FDC tablet for enteric fever in community settings of India. Family physicians involved in the management of enteric fever cases were selected across 4 zones (East, South, West, and North) each by convenient sampling to have uniform representation of population across the country. Each physician was given survey questionnaire booklet containing survey forms.Results: Total 78 family physicians participated in the survey with 881 completed questionnaire forms. Hypertension, diabetes were present in 83% (N=244) patients with comorbid conditions. One hundred and fifty four (17.4%) cases revealed history of relapse or recurrence. Fever clearance rate of 97% was observed in overall evaluable population. Sub analysis in high risk cases (relapse/recurrence) showed equally good response to the combination as cases without defervescence on day 3 and day 7 were only 21.4% and 1.3% respectively.Conclusions: Based on the present study we believe that cefixime-ofloxacin 400mg SR FDC to be an appropriate choice in the management of resistant enteric fever cases, especially in presence of comorbid conditions like hypertension or diabetes which adds to excess pill burden
A prescription event monitoring study to assess safety and health outcomes of Airtec SF® (salmeterol fluticasone propionate combination) in Indian population
Background: Asthma management has been fraught with several challenges especially for partly or uncontrolled cases. Incremental dosage strategy with salmeterol, fluticasone propionate combination offers stable yet effective control of symptoms preventing further exacerbations. However, there is limited evidence available on the need and safety profile of this incremental dosage strategy with the combination especially in Indian settings. To examine the safety and adverse clinical outcomes of Airtec SF when prescribed in patients with well- or poorly controlled persistent asthma.Methods: Based on the principle of prescription event monitoring (PEM) for safety reporting, this study was conducted at 20 centers across India. PEM study booklets with study questionnaire were provided to capture information related to adverse “events” during the observation period of 30 days.Results: Data of 384 patients were analyzed, with a mean age 44.5 years. 39% (n=150) were newly diagnosed and 61% (n=234) being in poorly controlled asthma status (i.e., partly or uncontrolled asthma). Of them, 42% (161), 44% (n=169) and 14% (54) patients were diagnosed with mild, moderate or severe persistent asthma, respectively. These were prescribed with metered-dose inhaler (n=187) or dry powder inhaler (n=197) formulations. 56% (n=216) patients suffered from concomitant allergic rhinitis. Among newly diagnosed patients with moderate to severe asthma dosage were tapered in 5.5% (n=3) cases. Dosage consistency was well-maintained in 98.2% (n=155) among partial or uncontrolled asthmatics with moderate to severe asthma with exacerbation rate of 1.9% (n=3). Adverse events including infective pneumonitis and upper respiratory tract infection were transient with none requiring treatment withdrawal.Conclusion: Use of Airtec SF was safe and well-tolerated with a negligible rate of exacerbations in Indian population especially amongst poorly controlled asthma patients
Hydrodynamic studies of aqueous two-phase systems in millichannels
Liquid-liquid segmented flows in microchannels have been extensively
investigated in the context of nanoparticle synthesis. The enhanced mixing in
the slugs results in monodispersed particles. Earlier studies have focused on
Organic-Aqueous Systems (OAS). The nanoparticles synthesized in the presence of
organic solutions have limited applications. An alternative green route for the
synthesis can be developed using an Aqueous Two-Phase System (ATPS). These
systems are characterized by interfacial tensions, which are two orders of
magnitude lower than typical organic aqueous systems. In this work, flow
patterns and hydrodynamics of ATPS are investigated as a first step.
Polyethylene glycol -trisodium citrate system was chosen as ATPS. The objective
of this work is to see if any new physics arises in an ATPS system. The low
interfacial tension results in high Capillary numbers (Ca >> 3) in a
microfluidic system. Consequently, the flow observed here is parallel or
core-annular. However, in a millichannel, the capillary number becomes lower
(Ca << 1) for an ATPS system. In this work, experiments were carried out in a
millichannel to span different flow patterns. The pattern formation was
analyzed and classified into three categories, i.e., slug flow (interfacial
tension dominated), transition flow, and core annular flow (inertia dominated).
Flow regime maps based on the Reynolds number, Capillary number, and Weber
number of each phase were found to be qualitatively similar to those of OAS.
Simulations were performed for various interfacial tension values. An
interfacial tension value of 1.25x10-4 N/m was found to yield slug sizes which
fitted well with the experimental data. Film thickness was measured
experimentally and with simulations compared favorably with the correlations
available in the literature for OAS
Developing Electronic Clinical Quality Measures to Assess the Cancer Diagnostic Process
OBJECTIVE: Measures of diagnostic performance in cancer are underdeveloped. Electronic clinical quality measures (eCQMs) to assess quality of cancer diagnosis could help quantify and improve diagnostic performance.
MATERIALS AND METHODS: We developed 2 eCQMs to assess diagnostic evaluation of red-flag clinical findings for colorectal (CRC; based on abnormal stool-based cancer screening tests or labs suggestive of iron deficiency anemia) and lung (abnormal chest imaging) cancer. The 2 eCQMs quantified rates of red-flag follow-up in CRC and lung cancer using electronic health record data repositories at 2 large healthcare systems. Each measure used clinical data to identify abnormal results, evidence of appropriate follow-up, and exclusions that signified follow-up was unnecessary. Clinicians reviewed 100 positive and 20 negative randomly selected records for each eCQM at each site to validate accuracy and categorized missed opportunities related to system, provider, or patient factors.
RESULTS: We implemented the CRC eCQM at both sites, while the lung cancer eCQM was only implemented at the VA due to lack of structured data indicating level of cancer suspicion on most chest imaging results at Geisinger. For the CRC eCQM, the rate of appropriate follow-up was 36.0% (26 746/74 314 patients) in the VA after removing clinical exclusions and 41.1% at Geisinger (1009/2461 patients; P \u3c .001). Similarly, the rate of appropriate evaluation for lung cancer in the VA was 61.5% (25 166/40 924 patients). Reviewers most frequently attributed missed opportunities at both sites to provider factors (84 of 157).
CONCLUSIONS: We implemented 2 eCQMs to evaluate the diagnostic process in cancer at 2 large health systems. Health care organizations can use these eCQMs to monitor diagnostic performance related to cancer
The neurotoxin DSP-4 dysregulates the locus coeruleus-norepinephrine system and recapitulates molecular and behavioral aspects of prodromal neurodegenerative disease
The noradrenergic locus coeruleus (LC) is among the earliest sites of tau and α-synuclein pathology in Alzheimer\u27s disease (AD) and Parkinson\u27s disease (PD), respectively. The onset of these pathologies coincides with loss of noradrenergic fibers in LC target regions and the emergence of prodromal symptoms including sleep disturbances and anxiety. Paradoxically, these prodromal symptoms are indicative of a noradrenergic hyperactivity phenotype, rather than the predicted loss of norepinephrine (NE) transmission following LC damage, suggesting the engagement of complex compensatory mechanisms. Because current therapeutic efforts are targeting early disease, interest in the LC has grown, and it is critical to identify the links between pathology and dysfunction. We employed the LC-specific neurotoxin N-(2-chloroethyl)-N-ethyl-2-bromobenzylamine (DSP-4), which preferentially damages LC axons, to model early changes in the LC-NE system pertinent to AD and PD in male and female mice. DSP-4 (two doses of 50 mg/kg, one week apart) induced LC axon degeneration, triggered neuroinflammation and oxidative stress, and reduced tissue NE levels. There was no LC cell death or changes to LC firing, but transcriptomics revealed reduced expression of genes that define noradrenergic identity and other changes relevant to neurodegenerative disease. Despite the dramatic loss of LC fibers, NE turnover and signaling were elevated in terminal regions and were associated with anxiogenic phenotypes in multiple behavioral tests. These results represent a comprehensive analysis of how the LC-NE system responds to axon/terminal damage reminiscent of early AD and PD at the molecular, cellular, systems, and behavioral levels, and provides potential mechanisms underlying prodromal neuropsychiatric symptoms
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