18,156 research outputs found
Prospects of searching for composite resonances at the LHC and beyond
Composite Higgs models predict the existence of resonances. We study in
detail the collider phenomenology of both the vector and fermionic resonances,
including the possibility of both of them being light and within the reach of
the LHC. We present current constraints from di-boson, di-lepton resonance
searches and top partner pair searches on a set of simplified benchmark models
based on the minimal coset , and make projections for the reach of
the HL-LHC. We find that the cascade decay channels for the vector resonances
into top partners, or vice versa, can play an important role in the
phenomenology of the models. We present a conservative estimate for their reach
by using the same-sign di-lepton final states. As a simple extrapolation of our
work, we also present the projected reach at the 27 TeV HE-LHC and a 100 TeV
collider.Comment: 61 pages, 13 figures; accepted version of JHE
The Skill-Task Matching Model: Mechanism, Model Structure, and Algorithm
We distinguished between the expected and actual profit of a firm. We
proposed that, beyond maximizing profit, a firm's goal also encompasses
minimizing the gap between expected and actual profit. Firms strive to enhance
their capability to transform projects into reality through a process of trial
and error, evident as a cyclical iterative optimization process. To
characterize this iterative mechanism, we developed the Skill-Task Matching
Model, extending the task approach in both multidimensional and iterative
manners. We vectorized jobs and employees into task and skill vector spaces,
respectively, while treating production techniques as a skill-task matching
matrix and business strategy as a task value vector. In our model, the process
of stabilizing production techniques and optimizing business strategies
corresponds to the recalibration of parameters within the skill-task matching
matrix and the task value vector. We constructed a feed-forward neural network
algorithm to run this model and demonstrated how it can augment operational
efficiency.Comment: 23 pages, 6 figure
Cost-effectiveness analysis of a system-based approach for managing neonatal jaundice and preventing kernicterus in Ontario
OBJECTIVE: To evaluate the incremental cost-effectiveness of a system-based approach for the management of neonatal jaundice and the prevention of kernicterus in term and late-preterm (≥35 weeks) infants, compared with the traditional practice based on visual inspection and selected bilirubin testing. STUDY DESIGN: Two hypothetical cohorts of 150,000 term and late-preterm neonates were used to compare the costs and outcomes associated with the use of a system-based or traditional practice approach. Data for the evaluation were obtained from the case costing centre at a large teaching hospital in Ontario, supplemented by data from the literature. RESULTS: The per child cost for the system-based approach cohort was 173 in the traditional practice cohort. The higher cost associated with the system-based cohort reflects increased costs for predischarge screening and treatment and increased postdischarge follow-up visits. These costs are partially offset by reduced costs from fewer emergency room visits, hospital readmissions and kernicterus cases. Compared with the traditional approach, the cost to prevent one kernicterus case using the system-based approach was 26,279, and the cost per quality-adjusted life year gained was $65,698. CONCLUSION: The cost to prevent one kernicterus case using the system-based approach is much lower than previously reported in the literature. ©2012 Pulsus Group Inc. All rights reserved
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