1,328 research outputs found

    Higgs properties measurements using the four lepton decay channel

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    The measurements of the properties of the Higgs boson are presented in the H→\rightarrowZZ→\rightarrow4ℓ\ell (ℓ\ell=e,ÎŒ\mu) decay channel using a data sample corresponding to an integrated luminosity of 35.9 fb−1^{-1} of proton-proton collisions at a center-of-mass energy of 13 TeV recorded by the CMS detector at the LHC. The signal-strength modifier ÎŒ\mu, defined as the production cross section of the Higgs boson times its branching fraction to four leptons relative to the standard model expectation, is measured to be ÎŒ=1.05−0.17+0.19\mu=1.05^{+0.19}_{-0.17} at mH=125.09 GeVm_{\mathrm{H}}=125.09~\mathrm{GeV}. Constraints are set on the strength modifiers for the main Higgs boson production modes. The mass is measured to be mH=125.26±0.21 GeVm_{\mathrm{H}}=125.26 \pm 0.21~\mathrm{GeV} and the width is constrained using on-shell production to be ΓH<1.10 GeV\Gamma_{\mathrm{H}}<1.10~\mathrm{GeV}, at 95%95\% CL. The fiducial cross section is measured to be 2.90−0.44+0.48(stat.)−0.22+0.27(sys.) fb2.90^{+0.48}_{-0.44}({\rm stat.})^{+0.27}_{-0.22}({\rm sys.})~{\mathrm{fb}}, which is compatible with the standard model prediction of 2.72±0.14 fb2.72\pm0.14~{\mathrm{fb}}.Comment: Presented at LHCP201

    A discussion of H → ZZ → 4l results and analysis strategies for 13TeV

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    Studies of Higgs boson production are presented using the H → ZZ → 4l (l =e,ÎŒ) decay. These studies are performed using a data sample corresponding to an integrated luminosity of 2.8fb−1 of pp collisions at a center-of-mass energy of 13TeV collected by the CMS experiment at the LHC during 2015. The observed signiïŹcance for the standard model Higgs boson with mH = 125 .09GeV is 2.5σ, where the expected signiïŹcance is 3.4σ. The model-independent ïŹducial cross section is measured to be ÏƒïŹd =2 .48+1.48 −1.14(stat⊕sys)+0.01 −0.04(model dep.)f

    Fluorescent-based nanosensors for selective detection of a wide range of biological macromolecules: A comprehensive review

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    Thanks to their unique attributes, such as good sensitivity, selectivity, high surface-to-volume ratio, and versatile optical and electronic properties, fluorescent-based bioprobes have been used to create highly sensitive nano -biosensors to detect various biological and chemical agents. These sensors are superior to other analytical instrumentation techniques like gas chromatography, high-performance liquid chromatography, and capillary electrophoresis for being biodegradable, eco-friendly, and more economical, operational, and cost-effective. Moreover, several reports have also highlighted their application in the early detection of biomarkers associ-ated with drug-induced organ damage such as liver, kidney, or lungs. In the present work, we comprehensively overviewed the electrochemical sensors that employ nanomaterials (nanoparticles/colloids or quantum dots, carbon dots, or nanoscaled metal-organic frameworks, etc.) to detect a variety of biological macromolecules based on fluorescent emission spectra. In addition, the most important mechanisms and methods to sense amino acids, protein, peptides, enzymes, carbohydrates, neurotransmitters, nucleic acids, vitamins, ions, metals, and electrolytes, blood gases, drugs (i.e., anti-inflammatory agents and antibiotics), toxins, alkaloids, antioxidants, cancer biomarkers, urinary metabolites (i.e., urea, uric acid, and creatinine), and pathogenic microorganisms were outlined and compared in terms of their selectivity and sensitivity. Altogether, the small dimensions and capability of these nanosensors for sensitive, label-free, real-time sensing of chemical, biological, and pharma-ceutical agents could be used in array-based screening and in-vitro or in-vivo diagnostics. Although fluorescent nanoprobes are widely applied in determining biological macromolecules, unfortunately, they present many challenges and limitations. Efforts must be made to minimize such limitations in utilizing such nanobiosensors with an emphasis on their commercial developments. We believe that the current review can foster the wider incorporation of nanomedicine and will be of particular interest to researchers working on fluorescence tech-nology, material chemistry, coordination polymers, and related research areas


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    Purpose: The paper aims to review advancements and current literature in the field of Green Human Resource Management (GHRM). It further intends to understand the relationship of GHRM with multiple variables and to highlight multiple green initiatives that organizations can use to further their environmental agenda

    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 ðð„with constraintsð ð ð„ „ ðandðŽð„ = 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

    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