TECHNIQUES TO INDICATE LATENCY OF PACKETS IN NETWORK NODES

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)

TECHNIQUES TO INDICATE LATENCY OF PACKETS IN NETWORK NODES

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

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

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 ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. 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

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

Peer reviewe

Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

Peer reviewe

MUSiC : a model-unspecific search for new physics in proton-proton collisions at root s=13TeV

Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.Peer reviewe

Measurement of prompt open-charm production cross sections in proton-proton collisions at root s=13 TeV

The production cross sections for prompt open-charm mesons in proton-proton collisions at a center-of-mass energy of 13TeV are reported. The measurement is performed using a data sample collected by the CMS experiment corresponding to an integrated luminosity of 29 nb(-1). The differential production cross sections of the D*(+/-), D-+/-, and D-0 ((D) over bar (0)) mesons are presented in ranges of transverse momentum and pseudorapidity 4 < p(T) < 100 GeV and vertical bar eta vertical bar < 2.1, respectively. The results are compared to several theoretical calculations and to previous measurements.Peer reviewe

Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at root s=13 TeV

A search is presented for new particles produced at the LHC in proton-proton collisions at root s = 13 TeV, using events with energetic jets and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 101 fb(-1), collected in 2017-2018 with the CMS detector. Machine learning techniques are used to define separate categories for events with narrow jets from initial-state radiation and events with large-radius jets consistent with a hadronic decay of a W or Z boson. A statistical combination is made with an earlier search based on a data sample of 36 fb(-1), collected in 2016. No significant excess of events is observed with respect to the standard model background expectation determined from control samples in data. The results are interpreted in terms of limits on the branching fraction of an invisible decay of the Higgs boson, as well as constraints on simplified models of dark matter, on first-generation scalar leptoquarks decaying to quarks and neutrinos, and on models with large extra dimensions. Several of the new limits, specifically for spin-1 dark matter mediators, pseudoscalar mediators, colored mediators, and leptoquarks, are the most restrictive to date.Peer reviewe