402 research outputs found

    Understanding Changes in Mortality with Implementation of Safe Injection Sites

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    The purpose of this study is to analyze mortality due to overdose in areas that have implemented supervised injection sites and understand what factors these facilities affect that can lead to a change in outcomes

    Barriers to Alternative Narcotic Education and Treatment in Young Adults in New Jersey

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    The purpose of this study is to determine alternative methods and programs that result in better outcomes for young adults dealing with opioid addiction in New Jersey while identifying potential barriers that prevent the implementation of these programs

    Character Recognition System using Radial Features

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    Extraction of text from documented images finds application in maximum entries which are document related in offices. The most of the popular applications which we find in public or college libraries where the entries of number of books are done by manually typing the title of book along with other credentials like name of the author and other attributes. The complete process can be made effortless with the application of a suitable algorithm or application software which can be extract the documented part from the cover of book and other parts of the book thereby reducing the manual job like typing of user. Which reduces the overall job to only arranging the book title etc.by formatting the material

    Glacial lakes exacerbate Himalayan glacier mass loss

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    Heterogeneous glacier mass loss has occurred across High Mountain Asia on a multi-decadal timescale. Contrasting climatic settings influence glacier behaviour at the regional scale, but high intra-regional variability in mass loss rates points to factors capable of amplifying glacier recession in addition to climatic change along the Himalaya. Here we examine the influence of surface debris cover and glacial lakes on glacier mass loss across the Himalaya since the 1970s. We find no substantial difference in the mass loss of debris-covered and clean-ice glaciers over our study period, but substantially more negative (−0.13 to −0.29 m w.e.a−1) mass balances for lake-terminating glaciers, in comparison to land-terminating glaciers, with the largest differences occurring after 2000. Despite representing a minor portion of the total glacier population (~10%), the recession of lake-terminating glaciers accounted for up to 32% of mass loss in different sub-regions. The continued expansion of established glacial lakes, and the preconditioning of land-terminating glaciers for new lake development increases the likelihood of enhanced ice mass loss from the region in coming decades; a scenario not currently considered in regional ice mass loss projections

    Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments

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    Smart homes require every device inside them to be connected with each other at all times, which leads to a lot of power wastage on a daily basis. As the devices inside a smart home increase, it becomes difficult for the user to control or operate every individual device optimally. Therefore, users generally rely on power management systems for such optimization but often are not satisfied with the results. In this paper, we present a novel multi-objective reinforcement learning framework with two-fold objectives of minimizing power consumption and maximizing user satisfaction. The framework explores the trade-off between the two objectives and converges to a better power management policy when both objectives are considered while finding an optimal policy. We experiment on real-world smart home data, and show that the multi-objective approaches: i) establish trade-off between the two objectives, ii) achieve better combined user satisfaction and power consumption than single-objective approaches. We also show that the devices that are used regularly and have several fluctuations in device modes at regular intervals should be targeted for optimization, and the experiments on data from other smart homes fetch similar results, hence ensuring transfer-ability of the proposed framework.Comment: 8 pages, 7 figures, Accepted at IEEE SMDS'202

    Predicting the security threats of internet rumors and spread of false information based on sociological principle

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    With the fast-growing IoT, regular connectivity through a range of heterogeneous intelligent devices across the Social Online Networks (SON) is feasible and effective to analyze sociological principles. Therefore, Increased user contributions, including web posts, videos and reviews slowly impact the lives of people in the recent past, which triggers volatile knowledge dissemination and undermine protection through gossip dissemination, disinformation, and offensive online debate. Based on the early diffusion status, the goal of this research is to forecast the popularity of online content reliably in the future. Though conventional prediction models are focused primarily on the discovery or integration of a network functionality into a changing time mechanism has been considered as unresolved issues and it has been resolved using Predicting The Security Threats of Internet Rumors (PSTIR) and Spread of False Information Based On Sociological (SFIBS) model with sociology concept. In this paper, the proportion of trustworthy Facebook fans who post regularly in early and future popularity has been analyzed linearly using PSTIR and SFIBS methods. Facebook statistics remind us that mainstream fatigue is an important prediction principle and The mainstream fatigue principle, Besides, it shows the effectiveness of the PSTIR and SFIBS based on experimental stud

    Does Institutional Context Affect CSR Disclosure? A Study on Eurostoxx 50

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    We propose to investigate the relationship between corporate social responsibility disclosure and institutional/environmental factors among a sample of European listed companies. We find that, by using several traditional explicative variables, institutional factors affect the level of CSR disclosure, in a context where the EU Commission has been paying growing attention to social and environmental accountability of listed companies (see the EU Dir. 95/2014). Our findings are further supported by multivariate regression, where ESG score (measure of CSR disclosure) is regressed on nine variables which represent the expression of institutional factors. By looking at the institutional determinants of CSR disclosure, we are seeking to pose a challenge for future research agenda, in order to understand whether CSR does actually reflect an effective commitment of firms to accounting practices and rules, as a form of social behavior, or whether it is just a tool to manage stakeholders’ perception and to comply with regulation

    Randomized controlled trial: Role of glycerin suppository for promoting feeding tolerance in preterm very low birth weight neonates

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    Background: Feeding intolerance is a common problem in preterm infants delaying establishment of full enteral feeding (FEF). Sustained parenteral nutrition has many disadvantages. To promote feeding tolerance, glycerin suppository is being used. Aims: (a) To compare the efficacy of glycerin suppository versus no intervention in preterm, very low birth weight (VLBW) neonates in achieving FEFs, i.e., 180 ml/kg/day for at least 24 hrs both the groups. (b) Correlation of glycerin suppository with time to regain birth weight, necrotizing enterocolitis, and adverse effects following glycerin suppository. Materials and Methods: The present study is a prospective randomized control trial; study population - 50 VLBW (birth weight between 1000 and 1500 g) or preterm (gestational age between 28 and 32 weeks) neonates randomized to either glycerin suppository group or non-intervention group. Intervention group – glycerin suppository (1 g) once daily from day 2 to day 14 of life or non-intervention along with intermittent oral feeds and standardized care. Results: A total of 58 neonates were assessed for eligibility, 50 randomized to either glycerin suppository group or control group, 19 neonates in both the groups were analyzed for outcome. Mean time to achieve FEFs was 11.57±1.21 days in glycerin suppository group and 11.84±1.25 days in control group which was not statistically significant (p=0.441; RR=0.67; 95% confidence interval=−0.539, 1.079). There was no significant difference observed in secondary outcomes. Conclusion: Prophylactic glycerin suppositories did not reduce the time to achieve FEFs in preterm VLBW neonates in our setting
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