6,274 research outputs found

    Deterministic Transformations of Multipartite Entangled States with Tensor Rank 2

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    Transformations involving only local operations assisted with classical communication are investigated for multipartite entangled pure states having tensor rank 2. All necessary and sufficient conditions for the possibility of deterministically converting truly multipartite, rank-2 states into each other are given. Furthermore, a chain of local operations that successfully achieves the transformation has been identified for all allowed transformations. The identified chains have two nice features: (1) each party needs to carry out at most one local operation and (2) all of these local operations are also deterministic transformations by themselves. Finally, it is found that there are disjoint classes of states, all of which can be identified by a single real parameter, which remain invariant under deterministic transformations.Comment: 27 pages, 1 figure; added new references and improved the presentatio

    Sequential item pricing for unlimited supply

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    We investigate the extent to which price updates can increase the revenue of a seller with little prior information on demand. We study prior-free revenue maximization for a seller with unlimited supply of n item types facing m myopic buyers present for k < log n days. For the static (k = 1) case, Balcan et al. [2] show that one random item price (the same on each item) yields revenue within a \Theta(log m + log n) factor of optimum and this factor is tight. We define the hereditary maximizers property of buyer valuations (satisfied by any multi-unit or gross substitutes valuation) that is sufficient for a significant improvement of the approximation factor in the dynamic (k > 1) setting. Our main result is a non-increasing, randomized, schedule of k equal item prices with expected revenue within a O((log m + log n) / k) factor of optimum for private valuations with hereditary maximizers. This factor is almost tight: we show that any pricing scheme over k days has a revenue approximation factor of at least (log m + log n) / (3k). We obtain analogous matching lower and upper bounds of \Theta((log n) / k) if all valuations have the same maximum. We expect our upper bound technique to be of broader interest; for example, it can significantly improve the result of Akhlaghpour et al. [1]. We also initiate the study of revenue maximization given allocative externalities (i.e. influences) between buyers with combinatorial valuations. We provide a rather general model of positive influence of others' ownership of items on a buyer's valuation. For affine, submodular externalities and valuations with hereditary maximizers we present an influence-and-exploit (Hartline et al. [13]) marketing strategy based on our algorithm for private valuations. This strategy preserves our approximation factor, despite an affine increase (due to externalities) in the optimum revenue.Comment: 18 pages, 1 figur

    Antipsychotic medication side effects knowledge amongst registered mental health nurses in England: A national survey

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    © 2020 The Authors. Journal of Psychiatric and Mental Health Nursing published by John Wiley & Sons Ltd What is known on the subject?: Research findings indicate the percentage of knowledge-related errors in medicines management is high, accounting for approximately 75% of all errors, with insufficient knowledge levels one of the most significant contributors of medication errors. Patients should be able to trust nurses to engage therapeutically and actively listen to their needs and concerns, responding using skills that are helpful, providing information that is clear, accurate, meaningful and free from jargon. However, without knowledge of pharmacology, it is impossible for nurses to be able to provide adequate advice. What the paper adds to the existing knowledge?: This study has examined an area that had not yet been systematically examined previously, which draws together previous research findings on mental health nurses' knowledge of adverse events, including side effects and medication errors, related to antipsychotic medication within NHS inpatient settings. What are the implications for practice?: A recent study has found that almost three-quarters (73%) of patients taking antipsychotic medication reported side effects to some degree. This high number of people experiencing antipsychotic medication side effects is likely to compromise care, especially in situations where nurses have inadequate knowledge of side effects and are unable to provide effective advice to patients. The findings from this study allow the mental health nursing profession an opportunity to reflect on the best means to increase knowledge and increase patient safety awareness and benefits for mental health service users. Abstract: Introduction Antipsychotic medications play a significant role in the treatment and recovery of people with several psychiatric disorders. However, research findings indicate mental health nurses are insufficiently knowledgeable about antipsychotic medication side effects. Aim To assess practising mental health nurses' knowledge of antipsychotic medication side effects using a Multiple-Choice Questionnaire (MCQ) across National Health Service (NHS) Trusts in England. Hypothesis Knowledge of antipsychotic medication side effects amongst registered mental health nurses is related to their academic qualification, clinical banding and length of experience. Method A national survey of registered mental health nurses was carried out using an online questionnaire which was disseminated by Research and Development departments. Results A total of 504 questionnaires were returned, 245 of which had full data and further analysed. The mean score for the sample was 14.4 and only 21 participants attained a mark of >80%. Implications for Practice Two out of three of our hypotheses (that length of experience and clinical banding are directly related to knowledge of antipsychotic medication side effects) were supported. Our study found many nurses have a suboptimal working knowledge of antipsychotic medication side effects which has the potential to compromise care. Strategies need to be put in place to enhance pharmacology knowledge

    Exploring experiences and impact of the COVID-19 pandemic on young racially minoritised people in the United Kingdom: A Qualitative Study

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    Within high-income-countries, the COVID-19 pandemic has disproportionately impacted people from racially minoritised backgrounds. There has been significant research interrogating the disparate impact of the virus, and recently, interest in the long-term implications of the global crisis on young people’s mental health and wellbeing. However, less work explores the experiences of young people from racialised backgrounds as they navigate the pandemic, and the specific consequences this has for their mental health. Forty young people (age 16-25) from black, mixed and other minority backgrounds and living in London, participated in consecutive focus group discussions over a two-month period, to explore the impact of the pandemic on their lives and emotional wellbeing. Thematic analysis identified seven categories describing the impact of the pandemic, indicating: deepening of existing socioeconomic and emotional challenges; efforts to navigate racism and difference within the response; and survival strategies drawing on communal and individual resources. Young people also articulated visions for a future public health response which addressed gaps in current strategies. Findings point to the need to contextualise public health responses to the pandemic in line with the lived experiences of racialised young people. We specifically note the importance of long-term culturally and socio-politically relevant support interventions. Implications for policy and practice are discusse

    The impact of information communication technologies on the performance of international joint ventures in relation to the communication and culture dynamics

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    This study endeavoured to investigate the effects of Information CommunicationTechnologies (ICTs) on the performance of International Joint Ventures (IJVs) byfocusing on specific variables known to affect performance i. e. culture (national andcorporate) and communication.Given the increasing use of ICTs in business processes this thesis focused on whetherthe utilisation of ICTs affected the communication and cultural dynamics within IJVsand whether any correlating effect on IJV performance occurred. Three researchquestions were developed, firstly, how ICTs impacted on communication between INpartners, secondly, how ICTs affected the cultural diversity that exists betweenpartners and thirdly, if the use of ICTs in communication channels had any subsequenteffect on IN performance.Research was undertaken using the multiple embedded case study approach allowingdata to be linked to theory in an inductive and deductive process. The contextualsetting was the European Telecommunications sector since it is a geographical areawith an inherent cultural diversity and an industry with a significant number of IJVs.The sample selected focused on five IJVs created between UK and other EU partnersduring the time period 1995 to 1997. Data was collected primarily through the use ofsemi-structuredin terviews with directors of eachp arent company.Within and cross case analysis of the results enabled common themes and new ideas toemerge, indicating that the use of ICTs does affect communication channels and isdependent upon the importance of the interaction. Cultural diversity that existsbetween IJV partners is also affected but at a superficial level, however, resultsrevealed that the use of ICTs does not enhance the performance of IJVs.Results also highlight unexpected findings, that of, two new variables affecting IJVperformance which are a unique corporate culture and a common vision for the IJV

    Screening of maize germplasm for Turcicum leaf blight resistance

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    : A study was conducted during Kharif 2012 and 2013 at Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Campus Srinagar with the objective of screening sixty maize genotypes against Turcicum leaf blight caused by Exserohilum turcicum (Pass.) Leonard and Suggs. Field experiment was laid out in a randomized block design with three replications. In order to ensure establishment of infection, artificial inoculation of E. turcicum on test genotypes was made twice at 30 and 40 days after sowing with two different methods of inoculation (spraying on foliage of maize with spore suspension of pathogen @ 5x104 spores/ml at 30 DAS and by whorl drop inoculation of pathogen multiplies on sorghum grains at 40 DAS). Disease severity on test entries was scored at silk drying stage and studies revealed that two inbred lines, viz., NAI-112 and NAI-147, and one hybrid, viz., HQPM-1 were found resistant with pooled disease intensity of 4.12 per cent, 4.04 per cent and 4.38 per cent, respectively. Four inbred lines, viz., KDM 381 A, KDM 918 A, NAI-152 and NAI-167 were found susceptible with pooled disease intensity of 52.82 per cent, 51.02 per cent, 58.58 per cent and 61.33 per cent, respectively. The remaining genotypes were moderately resistant to moderately susceptible
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