440 research outputs found
First direct mass-measurement of the two-neutron halo nucleus 6He and improved mass for the four-neutron halo 8He
The first direct mass-measurement of He has been performed with the
TITAN Penning trap mass spectrometer at the ISAC facility. In addition, the
mass of He was determined with improved precision over our previous
measurement. The obtained masses are (He) = 6.018 885 883(57) u and
(He) = 8.033 934 44(11) u. The He value shows a deviation from
the literature of 4. With these new mass values and the previously
measured atomic isotope shifts we obtain charge radii of 2.060(8) fm and
1.959(16) fm for He and He respectively. We present a detailed
comparison to nuclear theory for He, including new hyperspherical harmonics
results. A correlation plot of the point-proton radius with the two-neutron
separation energy demonstrates clearly the importance of three-nucleon forces.Comment: 4 pages, 2 figure
First Penning-trap mass measurement in the millisecond half-life range: the exotic halo nucleus 11Li
In this letter, we report a new mass for Li using the trapping
experiment TITAN at TRIUMF's ISAC facility. This is by far the shortest-lived
nuclide, , for which a mass measurement has ever been
performed with a Penning trap. Combined with our mass measurements of
Li we derive a new two-neutron separation energy of 369.15(65) keV: a
factor of seven more precise than the best previous value. This new value is a
critical ingredient for the determination of the halo charge radius from
isotope-shift measurements. We also report results from state-of-the-art
atomic-physics calculations using the new mass and extract a new charge radius
for Li. This result is a remarkable confluence of nuclear and atomic
physics.Comment: Formatted for submission to PR
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling
Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. To identify and treat endogeneity, and create awareness of how to deal with this issue, this study introduces a systematic procedure that translates control variables, instrumental variables, and Gaussian copulas into a PLS-SEM framework. We illustrate the procedure's efficacy by means of empirical data and offer recommendations to guide international marketing researchers on how to effectively address endogeneity concerns in their PLS-SEM analyses
Supply chain management resources, capabilities and execution
This paper identifies inter- and intra-organisational management resources that determine the level of execution of inter-firm alliance supply chain management (SCM). By drawing on network and resource-based view theories, a conceptual model proposes the effects of SCM resources and capabilities as influencing factors on SCM execution. The model was tested using survey data from studies conducted in two European supply chain environments. Variance-based structural equation modelling confirmed the hypothesised hierarchical order of three proposed antecedents: internal SCM resources affect joint SCM resources, which in turn influence collaborative SCM-related processes and finally SCM execution. An importance-performance analysis for both settings shows that providing and investing in internal SCM resources should be a priority when aiming to increase SCM execution. The theoretical contribution of this paper lies in confirming that the improvement of SCM execution follows a clear pathway featuring internal supply chain resources as one of the main drivers. The practical implications of this research include the development of a prioritisation list of measures that elevate SCM execution in the two country settings
The effect of personality traits and knowledge on the quality of decisions in supply chains
Supply chain and operations management requires frequent decision making, and decisions are importantly influenced by the personality traits and knowledge of the decision maker. Thus, we analyse the effect of those factors on the confidence and quality of decisions taken in the context of supply chain management. The data were gathered via an online supply chain simulation game where subjects needed to make several decisions. Personality traits of the participants were tested using the Big Five model. The structural model was estimated using the partial least squares structural equation modelling approach. We found that decision-makers with lower levels of extraversion and agreeableness and higher levels of conscientiousness and openness make better decisions. On the other hand, neuroticism and agreeableness negatively affect confidence in decisions. Tested knowledge positively influences both decision-makers’ confidence in and the quality of their decisions while self-reported knowledge has no significant effect. Therefore, the companies should carefully consider how an individual’s personality matches the type of job at hand and rely on tested instead of self-reported knowledge
Penning-Trap Mass Measurements of the Neutron-Rich K and Ca Isotopes: Resurgence of the N = 28 Shell Strength
We present Penning-trap mass measurements of neutron-rich 44,47-50K and
49,50Ca isotopes carried out at the TITAN facility at TRIUMF-ISAC. The 44K mass
measurement was performed with a charge-bred 4+ ion utilizing the TITAN EBIT,
and agrees with the literature. The mass excesses obtained for 47K and 49,50Ca
are more precise and agree with the values published in the 2003 Atomic Mass
Evaluation (AME'03). The 48,49,50K mass excesses are more precise than the
AME'03 values by more than one order of magnitude. For 48,49K, we find
deviations by 7 sigma and 10 sigma, respectively. The new 49K mass excess
lowers significantly the two-neutron separation energy at the neutron number
N=30 compared with the separation energy calculated from the AME'03 mass-excess
values, and thus, increases the N=28 neutron-shell gap energy at Z=19 by
approximately 1 MeV.Comment: 6 pages, 5 figures, accepted for PR
Mass Measurement of P for Improved Type-I X-ray Burst Modeling
Light curves are the primary observable of type-I x-ray bursts. Computational
x-ray burst models must match simulations to observed light curves. Most of the
error in simulated curves comes from uncertainties in process reaction
rates, which can be reduced via precision mass measurements of
neutron-deficient isotopes in the process path. We perform a precise
atomic mass measurement of P and use this new measurement to update
existing type-I x-ray burst models to produce an improved light curve.
High-precision Penning trap mass spectrometry was used to determine the
atomic mass of P. Modules for Experiments in Stellar Astrophysics (MESA)
was then used to simulate x-ray bursts using a 1D multi-zone model to produce
updated light curves. The mass excess of P was measured to be
-670.7 0.6 keV, a fourteen-fold precision increase over the mass reported
in AME2020. The Si()P and reverse photodisintegration
reaction rates have been determined to a higher precision based on the new,
high precision mass measurement of P, and MESA light curves generated
using these rates. Changes in the mass of P seem to have minimal effect
on XRB light curves, even in burster systems tailored to maximize impact.
The mass of P does not play a significant role in x-ray burst light
curves. It is important to understand that more advanced models don't just
provide more precise results, but often qualitatively different ones. This
result brings us a step closer to being able to extract stellar parameters from
individual x-ray burst observations. In addition, the Isobaric Multiplet Mass
Equation (IMME) has been validated for the quartet, but only
after including a small, theoretically predicted cubic term and utilizing an
updated excitation energy for the isobaric analogue state of Si.Comment: 8 pages, 7 figure
The relative importance of comprehensive performance measurement systems and financial performance measures on employees’ perceptions of informational fairness
Research on how performance measurement systems affect employees' perceptions of workplace fairness is important. As organizations often rely on their performance measurement systems to communicate information to their employees, it is useful to ascertain if and how the developments of performance measurement systems that are far more comprehensive than traditional financial systems affect employees' perceptions of informational fairness through the information communicated to employees. Informational fairness refers to employees' perceptions of workplace fairness that is based on the amount and the truthfulness of information that organizations provide to their employees. Based on a sample of managers from manufacturing organizations, the Partial Least Square results indicate that comprehensive performance measurement systems (comprehensive PMS) have a significant direct effect on jobrelevant information. They also indicate that comprehensive PMS have an indirect effect on informational fairness via job-relevant information. In contrast, systems that are based on financial measures have no significant effects on job-relevant information and informational fairness. These results demonstrate how comprehensive PMS (through the communication of a greater amount of job-relevant information) can be used to engender employees' perceptions of high workplace fairnes
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