Online Estimation and Optimization of Utility-Based Shortfall Risk

Utility-Based Shortfall Risk (UBSR) is a risk metric that is increasingly popular in financial applications, owing to certain desirable properties that it enjoys. We consider the problem of estimating UBSR in a recursive setting, where samples from the underlying loss distribution are available one-at-a-time. We cast the UBSR estimation problem as a root finding problem, and propose stochastic approximation-based estimations schemes. We derive non-asymptotic bounds on the estimation error in the number of samples. We also consider the problem of UBSR optimization within a parameterized class of random variables. We propose a stochastic gradient descent based algorithm for UBSR optimization, and derive non-asymptotic bounds on its convergence

Heating Oil Level Detection and Assistance Using Amazon Alexa

This work is used to bridge the gap between consumer and oil supplier by building a smart monitoring system with the help of  ESP8266 (Wi-Fi module) and  Alexa (Intelligent AI based Virtual Assistant). In the existing system, many oil tanks are inaccessible or buried under the ground. We came up with the solution  of  having a smart monitoring system where there is no longer need to read the oil level in the heating oil tank manually.  It can be done with the help of an ultrasonic sensor. When the consumer requests to check the oil level, ESP8266  retrieves the oil level from the ultrasonic sensor and sends it to Alexa

Auto Student Attendance System Using Student ID Card via Wi-Fi

The aim of this project is to eliminate the paper-based attendance with auto attendance by using student ID card. Currently, there is a card based attendance used in companies and web based attendance is used in the universities. In the paper-based attendance the paper is often lost, while in the web based attendance when all the students try to log in at the same time, the server gets down. We came up with the solution of  having a Wi-Fi based attendance where there is no need of paper and login to the server. It can be done with the help of proximity card reader. When a student holds his card in front of the reader, it will read the card and send it to the database with the help of Wi-Fi module. The database will process data based on the time and date of receiving

Investigations on microbiome of the used clinical device revealed many uncultivable newer bacterial species associated with persistent chronic infections

Introduction. Chronic persistent device-related infections (DRIs) often give culture-negative results in a microbiological investigation. In such cases, investigations on the device metagenome might have a diagnostic value. Materials and Methods. The 16SrRNA gene sequence analysis and next-generation sequencing (NGS) of clinical metagenome were performed to detect bacterial diversity on invasive medical devices possibly involved in culture-negative DRIs. Device samples were first subjected to microbiological investigation followed by metagenome analysis. Environmental DNA (e-DNA) isolated from device samples was subjected to 16SrRNA gene amplification followed by Sanger sequencing (n=14). In addition, NGS of the device metagenome was also performed (n=12). Five samples were only common in both methods. Results. Microbial growth was observed in only nine cases; among these, five cases were considered significant growth, and in the remaining four cases, growth was considered either insignificant or contaminated. Culture and sequencing analysis yielded identical results only in six cases. In culture-negative cases, Sanger sequencing of 16SrRNA gene and NGS of 16SrDNA microbiome was able to identify the presence of rarely described human pathogens, namely Streptococcus infantis, Gemella haemolysans, Meiothermus silvanus, Schlegelella aquatica, Rothia mucilaginosa, Serratia nematodiphila, and Enterobacter asburiae, along with some known common nosocomial pathogens. Bacterial species such as M. silvanus and S. nematodiphila that are never reported in human infection were also identified. Conclusions. Results of a small number of diverse samples of this pilot study might lead to a path to study a large number of device samples that may validate the diversity witnessed. The study shows that a culture free, a holistic metagenomic approach using NGS could help identify the pathogens in culture-negative chronic DRIs

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Supplementary Methods and Results4.pdf. Supplementary Methods: Survey Administration: Additional details about how the surveys were administered. Supplementary Results: Clinician Feedback: The results of the clinician survey in Additional file 3 show that clinicians perceive higher patient comfort when using a live interpreter. (PDF 61 kb

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Optimizing Key-value Stores For Hybrid Storage Environments

Modern write-intensive key-value stores have emerged as the prevailing data storage system for many big applications. However, these systems often sacrifice their read performance to cope with high data ingestion rates. Solid-state drives (SSD) can lend their help, but the volume of data and the peculiar characteristics of SSDs make their exclusive use uneconomical. Hence, hybrid storage environments with both SSDs and hard-disk drives (HDD) present interesting research opportunities for optimization. This thesis investigates how to design and optimize key-value stores for hybrid storage environments. We first modify and extend an existing key-value store to leverage the SSD as a cache. We next formulate an analytical cost model to predict the performance of a generic log-structured hybrid system. Finally, we use insights from our model to design and implement a new hybrid-optimized key-value store, LogStore. We demonstrate that LogStore is up to 7x faster than LevelDB, a state-of-the-art key-value store.M.A.S

Distribution facility : resource utilization and optimization study

This case study looks into the capacity and resource planning for the Distribution Centre facility at ACME Distribution Co. The aim is to examine and find out the optimal VNA (Very Narrow Aisle) machine to deploy in relation to the Distribution Centre's occupancy and activity levels and analyse the current work flow and provide recommendations for improvement. The study attempts to determine if the DC is operating at the effective capacity level relative to the design capacity levels. It also identifies the impact of an incremental increase in inventory turn on the additional working hours required to be put in by the staff at ACME Distribution Co. without increasing the current resources.Master of Science (Logistics

A Study of Skin Manifestations in Type 2 Diabetes Mellitus

Background: Diabetes Mellitus is a metabolic disorder, and it is known to not spare a single system in the body from its clutches. In some individuals this can be a primary character. That is the skin lesions pave the way for diagnosis of the disease and in others skin lesions occurs after a long time after the disease initiates. This study is a sincere effort to study the skin lesions in Diabetes Mellitus. Aims and Objectives: To study the skin lesions in Diabetes Mellitus.Methods: Three hundred seventy-seven patients were included for the study.Results: A surprising 54.64 percent of the patients complained of some skin manifestations and the fungal infections were seen in majority of the cases. Conclusion: Skin lesions in diabetics are fairly common and utmost care has to be taken to immediately identify and treat accordingly