1,266 research outputs found

    TECHNIQUES TO INDICATE LATENCY OF PACKETS IN NETWORK NODES

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    Applications operating via network communications have long evolved from the use of basic data, as audio and video applications continue to evolve in terms of latency requirements and, as such, the number of differentiated flows (per application) continues to evolve as well. With applications evolving that are utilize low latency packet paths from network, it can be challenging to determine the latency of packets in a network that are associated with latency sensitive applications. This proposal provides techniques through which a new header can be embedded into packets in which the new header can be used to indicate the total-residence-time of a packet in various nodes in a network. The header can be embedded in each packet that is communicated from an origin to an end-node of a network and can indicate how much time the packet has spent in network. The header can be updated on every node by the value of the time the packet spent in each node in the network (i.e., residence time of the packet in a network node)

    FACTORS INFLUENCING ADHERENCE TO IMATINIB IN INDIAN CHRONIC MYELOID LEUKEMIA PATIENTS: A CROSS-SECTIONAL STUDY

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    Adherence to imatinib(IM) is of utmost importance in patients with chronic myeloid leukemia(CML) to maximise treatment effectiveness. The main objective is to measure adherence to    IM & to evaluate individual patient characteristics, personal, treatment related &                    psychological factors influencing adherence behaviour. Hundred patients  receiving IM were analysed for adherence behaviour using 9 item Morisky Medication Adherence Scale              (9-MMAS) . Various factors were assessed for their impact on adherence behaviour.  These   factors were age, gender, duration of treatment, frequency & dosing of treatment, use  of        tobacco & alcohol, educational qualification,employment status,monthly  income, side effects, financial assistance in treatment, social support, knowledge about medicine & disease,         concomitant drug burden, polypharmacy, physician patient interaction, patient  educational    sessions & prevalence of depression. Seventy five percent of patients were found to be           adherent. On univariate analysis, prevalence of depression (p<0.000001), moderate severe     depression (p<0.000001), concomitant drug burden (p=0.036) & monthly income (p=0.015) were found to be significantly influencing adherence. The final multivariate model retained   prevalence of depression with OR= 10.367  (95% CI, 3.112- 34.538) as independent predictor of adherence to therapy. This study suggests that identification & treatment of depression among CML patients may further enhance adherence to IM therapy. Keywords: Chronic Myeloid Leukemia, Adherence, Imatinib, Nine Item Morisky Medication Adherence Scale, Patient Health Questionnaire -9

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function √į√į¬•with constraints√į √į √į¬• ¬• √įand√į¬ī√į¬• = √į. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

    Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks