132 research outputs found

    SCREENING AND MOLECULAR DOCKING STUDIES OF NEW NATURAL AGONISTS AGAINST PEROXISOME PROLIFERATOR-ACTIVATED RECEPTOR-ALPHA TARGETED TO TREAT OBESITY

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    ABSTRACTObjective: Obesity was considered as a serious health concern apart from the age group in today's population globally. The percentage of obese peoplein the world's population is increasing at a faster rate, and health issues arising due to obesity are gradually increasing. Our present insilico study wasaimed to screen out natural molecules against the peroxisome proliferator-activated receptor (PPAR), especially alpha aids in triggering the obesity.Methods: Several targets for treating obesity were identified, and one among such promising target was PPAR. Using the insilico applications such asnatural database was screened and the molecules were further evaluated based on their docking score parameter with the receptor.Results: The docking methodology suggested that two molecules zinc02091671 and zinc02137525 were found to reproduce the similar type ofinteractions such as that of the known inhibitor and crystal ligand.Conclusion: The reported two molecules were found to be promising agonists based on the computational studies and can be advanced the in vitrobased evaluation.Keywords: Obesity, Peroxisome proliferator-activated receptor, e-pharmacophore, QikProp, Docking

    A Cloud Native Solution for Dynamic Auto Scaling of MME in LTE

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    Due to rapid growth in the use of mobile devices and as a vital carrier of IoT traffic, mobile networks need to undergo infrastructure wide revisions to meet explosive traffic demand. In addition to data traffic, there has been a significant rise in the control signaling overhead due to dense deployment of small cells and IoT devices. Adoption of technologies like cloud computing, Software Defined Networking (SDN) and Network Functions Virtualization (NFV) is impressively successful in mitigating the existing challenges and driving the path towards 5G evolution. However, issues pertaining to scalability, ease of use, service resiliency, and high availability need considerable study for successful roll out of production grade 5G solutions in cloud. In this work, we propose a scalable Cloud Native Solution for Mobility Management Entity (CNS-MME) of mobile core in a production data center based on micro service architecture. The micro services are lightweight MME functionalities, in contrast to monolithic MME in Long Term Evolution (LTE). The proposed architecture is highly available and supports auto-scaling to dynamically scale-up and scale-down required micro services for load balancing. The performance of proposed CNS-MME architecture is evaluated against monolithic MME in terms of scalability, auto scaling of the service, resource utilization of MME, and efficient load balancing features. We observed that, compared to monolithic MME architecture, CNS-MME provides 7% higher MME throughput and also reduces the processing resource consumption by 26%

    Solitary Fibrous Tumors of Chest: Another Look with the Oncologic Perspective

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    Solitary fibrous tumors are mesenchymal lesions that arise at a variety of sites, most commonly the pleura. Most patients are asymptomatic at diagnosis, with lesions being detected incidentally. Nevertheless, some patients present due to symptoms from local tumor compression (eg. of the airways and pulmonary parenchyma). Furthermore, radiological methods are not always conclusive in making a diagnosis, and thus, pathological analysis is often required. In the past three decades, immunohistochemical techniques have provided a gold standard in solitary fibrous tumor diagnosis. The signature marker of solitary fibrous tumor is the presence of the NAB2-STAT6 fusion that can be reliably detected with a STAT6 antibody. While solitary fibrous tumors are most often benign, they can be malignant in 10-20% of the cases. Unfortunately, histological parameters are not always predictive of benign vs malignant solitary fibrous tumors. As solitary fibrous tumors are generally regarded as relatively chemoresistant tumors; treatment is often limited to localized treatment modalities. The optimal treatment of solitary fibrous tumors appears to be complete surgical resection for both primary and local recurrent disease. However, in cases of suboptimal resection, large disease burden, or advanced recurrence, a multidisciplinary approach may be preferable. Specifically, radiotherapy for inoperable local disease can provide palliation/shrinkage. Given their sometimes -unpredictable and often- protracted clinical course, long-term follow-up post-resection is recommended

    A thoracic surgery clinic dedicated to indeterminate pulmonary nodules: Too many scans and too little pathology?

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    ObjectiveWidespread application of computed tomographic scans has increased detection of asymptomatic pulmonary nodules. A dedicated clinic was established to encourage referral and manage large numbers of patients with such nodules.MethodsPatients were evaluated periodically by a nurse practitioner with surgeon oversight, and follow-up imaging was centralized. Patients were rescanned at intervals on the basis of radiologist recommendation.ResultsA total of 414 patients, 189 male and 225 female with a median age of 60.2 years (20.7–84.1 years), were evaluated since April 2000. Median follow-up was 1.51 years (0–6.65 years). Thirty-seven percent (153/414) were older than 60 years with at least 10 pack-years of tobacco use, whereas 30% (123/414) had never smoked. A total of 286 patients completed at least 2 years of follow-up computed tomographic evaluation. After 2 years, 24.2% (69/286) were deemed in stable condition and were discharged from further follow-up, whereas 22.4% (64/286) of patients were followed up longer than 2 years owing to the development of new nodules. Forty-five percent (127/286) of patients did not complete their recommended follow-up at our clinic. Overall, 3% (13/414) of our patients have been shown to have a malignant tumor. Only 5 patients underwent curative resection of a primary lung cancer.ConclusionIn a population of patients with indeterminate nodules in routine clinical practice, few patients required intervention and few cancers were detected. Although the benefits of a “nodule” clinic may include patient reassurance and convenience to referring physicians, a significant number of patients did not complete their follow-up in our clinic

    Multiple Traits for People Identification

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    Present biometric systems mostly rely on a single physical or behavioral feature for either identification or verification. However, day to day use of single biometries in massive or uncontrolled scenarios still has several shortcomings. These can be due to complex or unstable hardware settings, to changing environmental conditions or even to immature software procedures: some classification problems are intrinsically hard to solve. Possible spoofing of single biometric features is an additional issue. Last but not least, some features may occasionally lack the requisite of universality. As a consequence, biometric systems based on a single feature often have poor reliability, especially in applications where high security is needed. Multimodal systems, i.e., systems that concurrently exploit multiple features, are a possible way to achieve improved effectiveness and reliability. There are several issues that must be addressed when designing such a system, including the choice of the set of biometric features, the normalization method, the integration schema and the fusion process, and the use of a measure of reliability for each subsystem on a single response basis. This chapter describes the state of the art regarding such issues and sketches some suggestions for future work
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