696 research outputs found
The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade
Understanding the nature and magnitude of resource reallocation, particularly as it relates to productivity growth, is important both because it affects how we model and interpret aggregate productivity dynamics, and also because market structure and institutions may affect the reallocation's magnitude and efficiency. Most evidence to date on the connection between reallocation and productivity dynamics for the U.S. and other countries comes from a single industry: manufacturing. Building upon a unique establishment-level data set of U.S. retail trade businesses, we provide some of the first evidence on the connection between reallocation and productivity dynamics in a non-manufacturing sector. Retail trade is a particularly appropriate subject for such a study since this large industry lies at the heart of many recent technological advances, such as E-commerce and advanced inventory controls. Our results show that virtually all of the productivity growth in the U.S. retail trade sector over the 1990s is accounted for by more productive entering establishments displacing much less productive exiting establishments. Interestingly, much of the between-establishment reallocation is a within, rather than between-firm phenomenon.
Measurements of the (n,p) Reaction at IUCF
This research was sponsored by the National Science Foundation Grant NSF PHY 87-1440
Aggregate Productivity Growth: Lessons from Microeconomic Evidence
In this paper, we exploit establishment-level data to examine the relationship between microeconomic productivity dynamics and aggregate productivity growth. After synthesizing the evidence from recent studies, we conduct our own analysis using establishment-level data for U.S. manufacturing establishments as well for selected service industries. The use of longitudinal micro data on service sector establishments is one of the novel features of our analysis. Our main findings are summarized as follows: (i) the contribution of reallocation of outputs and inputs from less productive to more productive establishments plays a significant role in accounting for aggregate productivity growth; (ii) for the selected service industries considered, the contribution of net entry (more productive entering establishments displacing less productive exiting establishments) is dominant; (iii) the contribution of net entry to aggregate productivity growth is disproportionate and is increasing in the horizon over which the changes are measured since longer horizon yields greater differentials from selection and learning effects; (iv) the contribution of reallocation to aggregate productivity growth varies over time (e.g. is cyclically sensitive) and industries and is somewhat sensitive to subtle differences in measurement and decomposition methodologies.
Study of (n,p) Reactions Between 100 and 200 MeV
This research was sponsored by the National Science Foundation Grant NSF PHY 87-1440
Model-based Luenberger state observer for detecting interturn short-circuits in PM machines
This paper proposes a novel model-based Luenberger state observer for interturn short-circuit (ITSC) fault diagnostics. The residuals between the observed currents and the measured currents in the α- and β-axes serve as fault indicator, which can be used to detect ITSC faults not only at an early stage with contact resistance but also at the fully short-circuited stage. These currents are observed by the Luenberger observer, which is designed under the assumption that the machine is operating in a healthy condition. In addition, the investigation results indicate that with greater fault ratio, larger load current and higher speed, detecting the ITSC fault becomes easier. Moreover, three sets of Luenberger observers, assuming the ITSC fault is in phases A, B, and C, respectively, have been designed to identify the faulted phase. A series of experiments have been carried out to validate the developed fault detection method
Adjoint "quarks" on coarse anisotropic lattices: Implications for string breaking in full QCD
A detailed study is made of four dimensional SU(2) gauge theory with static
adjoint ``quarks'' in the context of string breaking. A tadpole-improved action
is used to do simulations on lattices with coarse spatial spacings ,
allowing the static potential to be probed at large separations at a
dramatically reduced computational cost. Highly anisotropic lattices are used,
with fine temporal spacings , in order to assess the behavior of the
time-dependent effective potentials. The lattice spacings are determined from
the potentials for quarks in the fundamental representation. Simulations of the
Wilson loop in the adjoint representation are done, and the energies of
magnetic and electric ``gluelumps'' (adjoint quark-gluon bound states) are
calculated, which set the energy scale for string breaking. Correlators of
gauge-fixed static quark propagators, without a connecting string of spatial
links, are analyzed. Correlation functions of gluelump pairs are also
considered; similar correlators have recently been proposed for observing
string breaking in full QCD and other models. A thorough discussion of the
relevance of Wilson loops over other operators for studies of string breaking
is presented, using the simulation results presented here to support a number
of new arguments.Comment: 22 pages, 14 figure
Radiative decays: a new flavour filter
Radiative decays of the orbital excitations of the ,
and to the scalars , and are shown to
provide a flavour filter, clarifying the extent of glueball mixing in the
scalar states. A complementary approach to the latter is provided by the
radiative decays of the scalar mesons to the ground-state vectors ,
and . Discrimination among different mixing scenarios is strong.Comment: 12 pages, 1 table, 0 figure
Enacting corporate governance of health care safety and quality: a dramaturgy of hospital boards in England
The governance of patient safety is a challenging concern for all health systems. Yet, while the role of executive Boards receives increased scrutiny, the area remains theoretically and methodologically underdeveloped. Specifically, we lack a detailed understanding of the performative aspects at play: what Board members say and do to discharge their accountabilities for patient safety. This article draws on qualitative data from overt non-participant observation of four NHS hospital Foundation Trust Boards in England. Applying a dramaturgical framework to explore scripting, setting, staging and performance, we found important differences between case study sites in the performative dimensions of processing and interpretation of infection control data. We detail the practices associated with these differences - the legitimation of current performance, the querying of data classification, and the naming and shaming of executives – to consider their implications
Neutrophils use selective autophagy receptor Sqstm1/p62 to target Staphylococcus aureus for degradation in vivo in zebrafish
Macroautophagy/autophagy functions to degrade cellular components and intracellular pathogens. Autophagy receptors, including SQSTM1/p62, target intracellular pathogens. Staphylococcus aureus is a significant pathogen of humans, especially in immunocompromise. S. aureus may use neutrophils as a proliferative niche, but their intracellular fate following phagocytosis has not been analyzed in vivo. In vitro, SQSTM1 can colocalize with intracellular Staphylococcus aureus, but whether SQSTM1 is beneficial or detrimental in host defense against S. aureus in vivo is unknown. Here we determine the fate and location of S. aureus within neutrophils throughout zebrafish infection. We show Lc3 and Sqstm1 recruitment to phagocytosed S. aureus is altered depending on the bacterial location within the neutrophil and that Lc3 marking of bacterial phagosomes within neutrophils may precede bacterial degradation. Finally, we show Sqstm1 is important for controlling cytosolic bacteria, demonstrating for the first time a key role of Sqstm1 in autophagic control of S. aureus in neutrophils
IMPlementation of an Online Relatives’ Toolkit for Psychosis or Bipolar (IMPART Study): Iterative Multiple Case Study to Identify Key Factors Impacting on Staff Uptake and Use
Background: Despite the potential of digital health interventions to improve the delivery of psychoeducation to people with mental health problems and their relatives, and substantial investment in their development, there is little evidence of successful implementation into clinical practice. We report the first implementation study of a digital health intervention: Relatives Education And Coping Toolkit (REACT), into routine mental healthcare. Our main aim was to identify critical factors affecting staff uptake and use of this online self-management tool for relatives of people with psychosis or bipolar.
Methods: A mixed-methods, theory-driven (Normalisation Process Theory), iterative multiple case study approach
using qualitative analysis of interviews with staff and quantitative reporting of uptake. Carer researchers were part of the research team.
Results: In all, 281 staff and 159 relatives from Early Intervention teams across six catchment areas (cases) in
England registered on REACT; 129 staff took part in qualitative interviews. Staff were positive about REACT helping services improve support and meet clinical targets. Implementation was hindered by: high staff caseloads and difficulties prioritising carers; perception of REACT implementation as research; technical difficulties using REACT; poor interoperability with trust computer systems and care pathways; lack of access to mobile technology and training; restricted forum populations; staff fears of risk, online trolling, and replacement by technology; and uncertainty around REACT’s long-term availability
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