227 research outputs found

    Invloed op de fasering van de six sigma kritische succes factoren; een onderzoek naar de fasering van de six sigma kritische succes factoren bij de invoering van six sigma in een organisatie

    Get PDF
    ï»żDe afgelopen jaren hebben onderzoekers (o.a. Lee 2002, Antony en Banuelas 2002, Antony 2004, Antony en Fergusson 2004, Antony en Kumar 2005) verschillende onderzoeken naar de bepaling van Six Sigma (6σ) kritische succes factoren (KSF-en) uitgevoerd. Deze onderzoeken hadden ten doel de bepaling van de 6σ KSF-en die tot een succesvolle invoering van 6σ in een organisatie leiden. Deze eerdere onderzoeken vormen de basis of het vertrekpunt om gerichter de toepassing van de 6σ KSF-en bij de invoering van 6σ in een organisatie nader te onderzoeken. Het operationaliseren of het toepassen van de 6σ KSF-en als instrumenten om het veranderingsproces tijdens de invoering van 6σ in een organisatie richting te geven, is een onderzoeksgebied dat nauwelijks empirisch is onderzocht. De focus van mijn afstudeeronderzoek richt zich ook op dit onderzoeksgebied. De centrale onderzoeksvraag bij mijn afstudeeronderzoek luidt: Welke kritische succes factoren zijn per invoeringsfase belangrijk of bepalend om een 6σ invoeringstraject in een organisatie succesvol af te ronden? De beantwoording van deze vraag is van belang voor de organisatie die de 6σ invoering efficiĂ«nt en effectief wil structureren en succesvol wil doorlopen. De centrale vraagstelling of er een relatie bestaat tussen de ‘Belangrijke 6σ KSF-en’ en ‘Succesvolle invoering van 6σ in een organisatie’, inclusief de invloed van de ‘6σ invoeringsfasen’ op deze relatie, is vertaald in de volgende hypothese: De impact van de 6σ KSF-en verschilt mogelijk per invoeringsfase. Mogelijkerwijs vertonen de verschillende invoeringsfasen een andere rangorde van belangrijke en minder belangrijke 6 6σ KSF-en. Om de onderzoeksvraag te beantwoorden heb ik de volgende onderzoeken verricht: 1. Een literatuuronderzoek. Het literatuuronderzoek levert een inventarisatie van de Six Sigma kritische succes factoren op en een rangschikking van de factoren die het meest belangrijk zijn bij de invoering van Six Sigma in een organisatie. 2. Een enquĂȘteonderzoek en semi-gestructureerde interviews. Deze onderzoeken leveren uiteindelijk een rangschikking op van de Six Sigma kritische succes factoren die voor elke fase van de invoering belangrijk zijn. Uit het resultaat van mijn afstudeeronderzoek blijkt onder andere, dat de F ‘Leiderschap, betrokkenheid en participatie van het topmanagement’ de meest belangrijke en bepalende factor is. De respondenten van het enquĂȘteonderzoek kenden aan deze KSF bij de succesvolle doorloop van de invoeringsfasen van 6σ in een organisatie de meeste waarde toe. Deze KSF krijgt bij alle invoeringsfasen de eerste plaats bij de rangschikking van de 6σ KSF-en op volgorde van belangrijkheid. Dit resultaat sluit aan op de empirie van het onderzoeksgebied. Mijn afstudeeronderzoek levert een bijdrage aan het wetenschappelijke onderzoek van de Six Sigma aanpak en de succesfactoren bij procesverbetering en de invoering van 6σ. Mijn afstudeeronderzoek levert een aanzet op om meer gericht onderzoek naar de 6σ succesfactoren te verrichten en het succes van Six sigma te definiĂ«ren

    RNA delivery by extracellular vesicles in mammalian cells and its applications.

    Get PDF
    The term 'extracellular vesicles' refers to a heterogeneous population of vesicular bodies of cellular origin that derive either from the endosomal compartment (exosomes) or as a result of shedding from the plasma membrane (microvesicles, oncosomes and apoptotic bodies). Extracellular vesicles carry a variety of cargo, including RNAs, proteins, lipids and DNA, which can be taken up by other cells, both in the direct vicinity of the source cell and at distant sites in the body via biofluids, and elicit a variety of phenotypic responses. Owing to their unique biology and roles in cell-cell communication, extracellular vesicles have attracted strong interest, which is further enhanced by their potential clinical utility. Because extracellular vesicles derive their cargo from the contents of the cells that produce them, they are attractive sources of biomarkers for a variety of diseases. Furthermore, studies demonstrating phenotypic effects of specific extracellular vesicle-associated cargo on target cells have stoked interest in extracellular vesicles as therapeutic vehicles. There is particularly strong evidence that the RNA cargo of extracellular vesicles can alter recipient cell gene expression and function. During the past decade, extracellular vesicles and their RNA cargo have become better defined, but many aspects of extracellular vesicle biology remain to be elucidated. These include selective cargo loading resulting in substantial differences between the composition of extracellular vesicles and source cells; heterogeneity in extracellular vesicle size and composition; and undefined mechanisms for the uptake of extracellular vesicles into recipient cells and the fates of their cargo. Further progress in unravelling the basic mechanisms of extracellular vesicle biogenesis, transport, and cargo delivery and function is needed for successful clinical implementation. This Review focuses on the current state of knowledge pertaining to packaging, transport and function of RNAs in extracellular vesicles and outlines the progress made thus far towards their clinical applications

    Effects of alirocumab on types of myocardial infarction: insights from the ODYSSEY OUTCOMES trial

    Get PDF
    Aims  The third Universal Definition of Myocardial Infarction (MI) Task Force classified MIs into five types: Type 1, spontaneous; Type 2, related to oxygen supply/demand imbalance; Type 3, fatal without ascertainment of cardiac biomarkers; Type 4, related to percutaneous coronary intervention; and Type 5, related to coronary artery bypass surgery. Low-density lipoprotein cholesterol (LDL-C) reduction with statins and proprotein convertase subtilisin–kexin Type 9 (PCSK9) inhibitors reduces risk of MI, but less is known about effects on types of MI. ODYSSEY OUTCOMES compared the PCSK9 inhibitor alirocumab with placebo in 18 924 patients with recent acute coronary syndrome (ACS) and elevated LDL-C (≄1.8 mmol/L) despite intensive statin therapy. In a pre-specified analysis, we assessed the effects of alirocumab on types of MI. Methods and results  Median follow-up was 2.8 years. Myocardial infarction types were prospectively adjudicated and classified. Of 1860 total MIs, 1223 (65.8%) were adjudicated as Type 1, 386 (20.8%) as Type 2, and 244 (13.1%) as Type 4. Few events were Type 3 (n = 2) or Type 5 (n = 5). Alirocumab reduced first MIs [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.77–0.95; P = 0.003], with reductions in both Type 1 (HR 0.87, 95% CI 0.77–0.99; P = 0.032) and Type 2 (0.77, 0.61–0.97; P = 0.025), but not Type 4 MI. Conclusion  After ACS, alirocumab added to intensive statin therapy favourably impacted on Type 1 and 2 MIs. The data indicate for the first time that a lipid-lowering therapy can attenuate the risk of Type 2 MI. Low-density lipoprotein cholesterol reduction below levels achievable with statins is an effective preventive strategy for both MI types.For complete list of authors see http://dx.doi.org/10.1093/eurheartj/ehz299</p

    Anatomy of the sign-problem in heavy-dense QCD

    Get PDF
    QCD at finite densities of heavy quarks is investigated using the density-of-states method. The phase factor expectation value of the quark determinant is calculated to unprecedented precision as a function of the chemical potential. Results are validated using those from a reweighting approach where the latter can produce a significant signalto-noise ratio. We confirm the particle–hole symmetry at low temperatures, find a strong sign problem at intermediate values of the chemical potential, and an inverse Silver Blaze feature for chemical potentials close to the onset value: here, the phase-quenched theory underestimates the density of the full theory

    The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

    Get PDF

    Lawson criterion for ignition exceeded in an inertial fusion experiment

    Get PDF
    For more than half a century, researchers around the world have been engaged in attempts to achieve fusion ignition as a proof of principle of various fusion concepts. Following the Lawson criterion, an ignited plasma is one where the fusion heating power is high enough to overcome all the physical processes that cool the fusion plasma, creating a positive thermodynamic feedback loop with rapidly increasing temperature. In inertially confined fusion, ignition is a state where the fusion plasma can begin "burn propagation" into surrounding cold fuel, enabling the possibility of high energy gain. While "scientific breakeven" (i.e., unity target gain) has not yet been achieved (here target gain is 0.72, 1.37 MJ of fusion for 1.92 MJ of laser energy), this Letter reports the first controlled fusion experiment, using laser indirect drive, on the National Ignition Facility to produce capsule gain (here 5.8) and reach ignition by nine different formulations of the Lawson criterion

    Searches for Higgs boson pair production in the hh→bbττ, γγWW∗, γγbb, bbbb channels with the ATLAS detector

    Get PDF
    Searches for both resonant and nonresonant Higgs boson pair production are performed in the hh→bbττ, γγWW∗ final states using 20.3  fb−1 of pp collision data at a center-of-mass energy of 8 TeV recorded with the ATLAS detector at the Large Hadron Collider. No evidence of their production is observed and 95% confidence-level upper limits on the production cross sections are set. These results are then combined with the published results of the hh→γγbb, bbbb analyses. An upper limit of 0.69 (0.47) pb on the nonresonant hh production is observed (expected), corresponding to 70 (48) times the SM gg→hh cross section. For production via narrow resonances, cross-section limits of hh production from a heavy Higgs boson decay are set as a function of the heavy Higgs boson mass. The observed (expected) limits range from 2.1 (1.1) pb at 260 GeV to 0.011 (0.018) pb at 1000 GeV. These results are interpreted in the context of two simplified scenarios of the Minimal Supersymmetric Standard Model

    Search for strongly interacting massive particles generating trackless jets in proton-proton collisions at s = 13 TeV

    Get PDF
    A search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton-proton collision data corresponding to an integrated luminosity of 16.1 fb - 1 , collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100 GeV are excluded and further sensitivity is explored towards higher masses

    Evidence for Top Quark Production in Nucleus-Nucleus Collisions

    Get PDF
    Peer reviewe

    Search for Higgs and Z Boson Decays to J/ÏˆÎł and ϒ(nS)Îł with the ATLAS Detector.

    Get PDF
    A search for the decays of the Higgs and Z bosons to J/ÏˆÎł and ϒ(nS)Îł (n=1,2,3) is performed with pp collision data samples corresponding to integrated luminosities of up to 20.3  fb^{-1} collected at sqrt[s]=8  TeV with the ATLAS detector at the CERN Large Hadron Collider. No significant excess of events is observed above expected backgrounds and 95% C.L. upper limits are placed on the branching fractions. In the J/ÏˆÎł final state the limits are 1.5×10^{-3} and 2.6×10^{-6} for the Higgs and Z boson decays, respectively, while in the ϒ(1S,2S,3S)Îł final states the limits are (1.3,1.9,1.3)×10^{-3} and (3.4,6.5,5.4)×10^{-6}, respectively.We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR,MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; EPLANET, ERC and NSRF, European Union; IN2P3-CNRS, CEA-DSM/ IRFU, France; GNSF, Georgia; BMBF, DFG, HGF, MPG and AvH Foundation, Germany; GSRT and NSRF, Greece; ISF, MINERVA, GIF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands;BRF and RCN, Norway; MNiSW and NCN, Poland;GRICES and FCT, Portugal; MNE/IFA, Romania; MES of Russia and ROSATOM, Russian Federation; JINR;MSTD, Serbia; MSSR, Slovakia; ARRS and MIZĆ , Slovenia; DST/NRF, South Africa; MINECO, Spain;SRC and Wallenberg Foundation, Sweden; SER, SNSF and Cantons of Bern and Geneva, Switzerland; NSC,Taiwan; TAEK, Turkey; STFC, the Royal Society and Leverhulme Trust, United Kingdom; DOE and NSF, United States of America
    • 

    corecore