Economics Implications of Variable Weighing and Grading Practices in the Sale of Slaughter Beef

Agricultural Economic

Support for the predictive validity of the multifactor offender readiness model (MORM) : forensic patients' readiness and engagement with therapeutic groups

BACKGROUND: Treatment non-engagement in forensic health settings has ethical and economic implications. The multifactor offender readiness model (MORM) provides a framework for assessing treatment readiness across person, programme and contexts. AIMS: To answer the following question: Are the internal factors of the MORM associated with likelihood of engagement in groups by patients in forensic mental health services? METHOD: In a retrospective design, associations were investigated between internal factors of the MORM, measured as part of assessment for group participation, and the outcomes of treatment refusal, treatment dropout and treatment completion. RESULTS: One hundred and eighteen male patients in a high security hospital consecutively referred for group treatment agreed to participate. Internal factors of the MORM associated with treatment refusals included: psychopathic cognition, negative self-evaluation/affect and effective goal-seeking strategies. Those associated with dropouts included emotional dysregulation, low competencies to engage and low levels of general distress. MORM factors associated with completion included: low motivation, ineffective goal-seeking strategies, absence of psychopathic cognition, high levels of general distress and competency to engage. CONCLUSIONS: Internal factors of the MORM could be useful contributors to decisions about treatment readiness for hospitalised male offender-patients. Up to one in three programmes offered were refused, so clinical use of the MORM to aid referral decisions could optimise the most constructive use of resources for every individual

First-Principles Study for the Anisotropy of Iron-based Superconductors toward Power and Device Applications

Performing the first-principles calculations, we investigate the anisotropy in the superconducting state of iron-based superconductors to gain an insight into their potential applications. The anisotropy ratio $\gamma_\lambda$ of the c-axis penetration depth to the ab-plane one is relatively small in BaFe2As2 and LiFeAs, i.e., $\gamma_\lambda \sim 3$, indicating that the transport applications are promising in these superconductors. On the other hand, in those having perovskite type blocking layers such as Sr2ScFePO3 we find a very large value, $\gamma_\lambda \sim 200$, comparable to that in strongly anisotropic high-Tc cuprate Bi2Sr2CaCu2O{8-\delta}. Thus, the intrinsic Josephson junction stacks are expected to be formed along the c-axis, and novel Josephson effects due to the multi-gap nature are also suggested in these superconductors.Comment: 5 pages, 4 figure

Social marketing and social influences: Using social ecology as a theoretical framework

Social marketing has traditionally been dominated by an individualistic model of design. In this work, the authors apply a social ecology model to the theory and practice of social marketing, demonstrating that a multilevel framework is required to fully expose and account for the complexity of sociocultural and environmental effects. The authors have generated a diagnostic tool for this use. The paper then provides a detailed demonstration of the potential power of the tool by applying it to three illustrative case studies: one on encouraging safer driving, the second promoting sustainable travel, and the third increasing early detection of lung cancer. © 2010 Westburn Publishers Ltd

Leveraging the Science of Geographic Information Systems

The Center for Geographic Information Science (CGISc) at the University of North Carolina Greensboro (UNCG) was established in the Summer of 2006. CGISc is an educational research entity that relies on the use of GIS and the science of geographic information to conduct research on human and natural phenomena distributed on the Earth’s surface. CGISc welcomes interdisciplinary collaboration, and emphasizes the development of public-private sector partnerships. CGISc also places a high priority on research that involves students. This paper first provides an overview of the CGISc. This section is followed by a discussion on the fundamental approach to conducting geographic research using GIS. The paper concludes with several significant projects and a discussion on future directions

Course of seasonal influenza A/Brisbane/59/07 H1N1 infection in the ferret

Every year, influenza viruses infect approximately 5-20% of the population in the United States leading to over 200,000 hospitalizations and 36,000 deaths from flu-related complications. In this study, we characterized the immune and pathological progression of a seasonal strain of H1N1 influenza virus, A/Brisbane/59/2007 in a ferret model. The immune response of the animals showed a dose-dependent increase with increased virus challenge, as indicated by the presence of virus specific IgG, IgM, and neutralizing antibodies. Animals infected with higher doses of virus also experienced increasing severity of clinical symptoms and fever at 2 days post-infection (DPI). Interestingly, weight loss was more pronounced in animals infected with lower doses of virus compared to those infected with a higher dose; these results were consistent with viral titers of swabs collected from the nares, but not the throat. Analyzed specimens included nasal and throat swabs from 1, 3, 5, and 7 DPI as well as tissue samples from caudal lung and nasal turbinates. Viral titers of the swab samples in all groups were higher on 1 and 3 DPI and returned to baseline levels by 7 DPI. Analysis of nasal turbinates indicated presence of virus at 3 DPI in all infected groups, whereas virus was only detected in the lungs of animals in the two highest dose groups. Histological analysis of the lungs showed a range of pathology, such as chronic inflammation and bronchial epithelial hypertrophy. The results provided here offer important endpoints for preclinical testing of the efficacy of new antiviral compounds and experimental vaccines

Private quantum decoupling and secure disposal of information

Given a bipartite system, correlations between its subsystems can be understood as information that each one carries about the other. In order to give a model-independent description of secure information disposal, we propose the paradigm of private quantum decoupling, corresponding to locally reducing correlations in a given bipartite quantum state without transferring them to the environment. In this framework, the concept of private local randomness naturally arises as a resource, and total correlations get divided into eliminable and ineliminable ones. We prove upper and lower bounds on the amount of ineliminable correlations present in an arbitrary bipartite state, and show that, in tripartite pure states, ineliminable correlations satisfy a monogamy constraint, making apparent their quantum nature. A relation with entanglement theory is provided by showing that ineliminable correlations constitute an entanglement parameter. In the limit of infinitely many copies of the initial state provided, we compute the regularized ineliminable correlations to be measured by the coherent information, which is thus equipped with a new operational interpretation. In particular, our results imply that two subsystems can be privately decoupled if their joint state is separable.Comment: Child of 0807.3594 v2: minor changes v3: presentation improved, one figure added v4: extended version with a lot of discussions and examples v5: published versio

Non-adaptive Measurement-based Quantum Computation and Multi-party Bell Inequalities

Quantum correlations exhibit behaviour that cannot be resolved with a local hidden variable picture of the world. In quantum information, they are also used as resources for information processing tasks, such as Measurement-based Quantum Computation (MQC). In MQC, universal quantum computation can be achieved via adaptive measurements on a suitable entangled resource state. In this paper, we look at a version of MQC in which we remove the adaptivity of measurements and aim to understand what computational abilities still remain in the resource. We show that there are explicit connections between this model of computation and the question of non-classicality in quantum correlations. We demonstrate this by focussing on deterministic computation of Boolean functions, in which natural generalisations of the Greenberger-Horne-Zeilinger (GHZ) paradox emerge; we then explore probabilistic computation, via which multipartite Bell Inequalities can be defined. We use this correspondence to define families of multi-party Bell inequalities, which we show to have a number of interesting contrasting properties.Comment: 13 pages, 4 figures, final version accepted for publicatio

Heavy anion solvation of polarity fluctuations in Pnictides

Once again the condensed matter world has been surprised by the discovery of yet another class of high temperature superconductors. The discovery of iron-pnictide (FeAs) and chalcogenide (FeSe) based superconductors with a $T_c$ of up to 55 K is again evidence of how complex the many body problem really is, or in another view how resourceful nature is. The first reactions would of course be that these new materials must in some way be related to the copper-oxide based superconductors for which a large number of theories exist although a general consensus regarding the correct theory has not yet been reached. Here we point out that the basic physical paradigm of the new iron based superconductors is entirely different from the cuprates. Their fundamental properties, structural and electronic, are dominated by the exceptionally large pnictide polarizabilities