112 resultados para 260302 Exploration Geochemistry


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Research on business model development has focused on the relationships between elements of value conceptualization and organization having a linear sequence in which business models are first designed and then implemented. Another stream of research points to business model development with these elements interacting in a cyclical manner. There is a need to improve our understanding of the connective mechanisms and dynamics involved in business model development, particularly from the challenging perspective of commercializing innovations. The aim of this paper was to explore business model development during the commercialization of innovations through a case-based qualitative study. This study found from four case studies that specific elements of business model development, representative of the conceptualization of value and organizing for value creation, integrate in a dynamic and cyclical process in the commercialization of technology innovations. The study provides empirical evidence that adds new insights to literature on sequential and more interactive processes of business model development. It also contributes to literature on business model development and particularly how it relates to the commercialization of innovations.

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Objectives: This study aims to determine pain frequency amongst care home residents with dementia, to investigate variables associated with pain, to explore analgesic use among residents and to seek residents' relatives' views on provision of care and management of pain by the care home. Methods: Structured face-to-face interviews were conducted with residents, nursing staff and relatives from nine dementia care homes in Northern Ireland, between May 2010 and March 2012. Demographic information was collected from participants, neuropsychiatric tests were used to assess residents' cognitive functioning, medication use was determined from care home records and residents' pain was assessed using a verbal descriptor scale. Relatives' views were sought on care provision and management of pain. Results: Forty-two residents, 16 nurses/care assistants and 35 relatives participated; the participation rate of residents was low (27.6%). Most residents were suffering moderate-severe dementia, and some residents (26.2%) were unable to provide a self-report of pain. A significantly higher proportion of relatives (57.1%) deemed residents to be experiencing pain at the time of the interview, compared with residents (23.8%, p = 0.005) and nurses/care assistants (42.9%, p = 0.035). Most residents (88.1%) were prescribed with analgesia; non-opioid analgesics were most commonly prescribed. High proportions of residents were prescribed with psychoactive medications. Antipsychotic drug use was associated with presence of pain (p = 0.046). Conclusions: This study has reinforced the challenge of assessing and managing pain in this resident population and highlighted issues to be addressed by long-term care providers and clinicians. Participation of people with dementia, and their families, in healthcare research needs to be improved.

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In this paper, we present a unique cross-layer design framework that allows systematic exploration of the energy-delay-quality trade-offs at the algorithm, architecture and circuit level of design abstraction for each block of a system. In addition, taking into consideration the interactions between different sub-blocks of a system, it identifies the design solutions that can ensure the least energy at the "right amount of quality" for each sub-block/system under user quality/delay constraints. This is achieved by deriving sensitivity based design criteria, the balancing of which form the quantitative relations that can be used early in the system design process to evaluate the energy efficiency of various design options. The proposed framework when applied to the exploration of energy-quality design space of the main blocks of a digital camera and a wireless receiver, achieves 58% and 33% energy savings under 41% and 20% error increase, respectively. © 2010 ACM.

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Background The aims of this study were to explore the knowledge, attitudes and beliefs that nursing home managers hold with regard to the assessment and management of pain in residents with dementia and to determine how these may be affected by the demographic characteristics of the respondents.

Methods A questionnaire comprising six sections was mailed, on two occasions during March and April 2010, to 244 nursing home managers in Northern Ireland (representing 96% of the nursing homes in Northern Ireland).

Results The response rate was 39%. Nearly all respondents (96%) provided care to residents with dementia, yet only 60% of managers claimed to use pain treatment guidelines within their nursing home. Respondents demonstrated good knowledge about pain in residents with dementia and acknowledged the difficulties surrounding accurate pain assessment. Nursing home managers were uncertain about how to manage pain in residents with dementia, demonstrating similar concerns about the use of opioid analgesics to those reported in previous studies about pain in older people. Managers who had received recent training (p = 0.044) were less likely to have concerns about the use of opioid analgesia than those who had not received training. Respondents' beliefs about painkillers were largely ambivalent and were influenced by the country in which they had received their nursing education.

Conclusions The study has revealed that accurate pain assessment, training of nursing staff and a standardised approach to pain management (the use of pain management guidelines) within nursing homes all have a significant part to play in the successful management of pain in residents with dementia. Copyright (c) 2012 John Wiley & Sons, Ltd.

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This Letter describes the further development and SAR exploration of a novel series of Legumain inhibitors. Based upon a previously identified Legumain inhibitor from our group, we explored the SAR of the carbamate phenyl ring system to probe the P3 pocket of the enzyme. This led to the identification of a sub-nanomolar inhibitor of Legumain.



Graphical abstract

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Context and background
Historically nurses perceive politics and nursing as being at odds with the caring image, synonymous with nurses (Salvage, 1985). Furthermore the concept of the ‘politics of nursing’ lacks clear conceptual clarity (Hewison, 1994). This concept ranges across a continuum from political interest to participation or engagement (Rains et al, 2001). It is often argued political interest tends to be equated with knowledge/ involvement in health policy development and nurse education can foster political consciousness, through political socialization (Brown, 1996). But despite the World Health Organization (WHO, 2002) urging this involvement, nurses globally are largely absent from the political and policy making arena. What influences nurse’s political socialization and the development of a political consciousness is not clearly identified or known, although many commentators suggest the undergraduate educational environment, plays an important role (Hanley, 1987, Winter, 1991).     

AIM
The aim of this study was to explore third year nursing student’s perceptions of politics in nursing, in the context of Northern Ireland. A number of hypotheses were tested examining the relationship between age, prior educational attainment and political interest and attitudes.  

Research methodology
A cross sectional research design was used and the data was collected using a short anonymous self-completion web survey (Bryman, 2012). The sample was a convenience sample of one cohort of final year adult nursing students (n154) in one Northern Irish university, with a 42% response rate. Data was analyzed using SPSS.

Key findings and conclusions
The results revealed 55% of students were very/fairly interested in politics, with 6% reporting no interest in politics. 85% of students were registered to vote, but only 48% voted in the 2010 N Ireland Assembly election.   
Recommend inclusion of a unit of study incorporating innovative teaching methods related to politics and health related policy, in the undergraduate nursing programme.       

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This paper explores my experiments with computer animated notation. It examines how I turned to
computer animated notation to address issues with static musical notation. In particular looking at
the work of Nancarrow, Cage, Tenney, and how a number of these composers' approaches
presented difficult challenges for traditional musical notation. I then discuss how computer
animated notation can provide some interesting solutions to the notational problems provoked in
these works.
In the second part of the paper I investigate how addressing these notational challenges has led to
new prespectives on the compositional process and has introduced new considerations into my
compositional practice including time as musical material, real-time and multi-nodal interaction
with the score, networked score environments with the possibility of physically distributed
performance, performer feedback and communication, and interaction between notation and other
media including visual media and movement.

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The design cycle for complex special-purpose computing systems is extremely costly and time-consuming. It involves a multiparametric design space exploration for optimization, followed by design verification. Designers of special purpose VLSI implementations often need to explore parameters, such as optimal bitwidth and data representation, through time-consuming Monte Carlo simulations. A prominent example of this simulation-based exploration process is the design of decoders for error correcting systems, such as the Low-Density Parity-Check (LDPC) codes adopted by modern communication standards, which involves thousands of Monte Carlo runs for each design point. Currently, high-performance computing offers a wide set of acceleration options that range from multicore CPUs to Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The exploitation of diverse target architectures is typically associated with developing multiple code versions, often using distinct programming paradigms. In this context, we evaluate the concept of retargeting a single OpenCL program to multiple platforms, thereby significantly reducing design time. A single OpenCL-based parallel kernel is used without modifications or code tuning on multicore CPUs, GPUs, and FPGAs. We use SOpenCL (Silicon to OpenCL), a tool that automatically converts OpenCL kernels to RTL in order to introduce FPGAs as a potential platform to efficiently execute simulations coded in OpenCL. We use LDPC decoding simulations as a case study. Experimental results were obtained by testing a variety of regular and irregular LDPC codes that range from short/medium (e.g., 8,000 bit) to long length (e.g., 64,800 bit) DVB-S2 codes. We observe that, depending on the design parameters to be simulated, on the dimension and phase of the design, the GPU or FPGA may suit different purposes more conveniently, thus providing different acceleration factors over conventional multicore CPUs.

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Background: The steady increase in the number of people living and dying with dementia, coupled with the recent focus on quality of care, has highlighted the importance of dementia training for health care professionals. This exploratory study aimed to discover which skills health care students felt were important in providing quality end-of-life care to dementia patients.

Methods: Ninety-four medicine, nursing, and pharmacy students participated in a larger study using open-ended and closed questions to explore attitudes related to caring for dementia patients at the end of life. This study looks at the student responses to an open-ended question regarding the skills and knowledge they believe are needed to provide end-of-life care to dementia patients. Individual responses were reviewed by the researchers, coded into key issues, and tabulated for frequency of occurrences and group differences.

Results: Several common issues emerged: knowledge, patience, empathy, understanding, family involvement, compassion, medication knowledge, respect/patient autonomy, communication, quality of life, and patient education. Significant differences were observed among the participant groups on the following issues: Patience and understanding (pharmacy students mentioned these issues less frequently than medical and nursing students), compassion (medical students mentioned this issue more frequently than pharmacy students), and medication knowledge (pharmacy students mentioned this issue more frequently than medical and nursing students).

Conclusions: Different health care disciplines (in-training) value different skill sets for the provision of dementia care at the end-of-life. As health care education for dementia patients at the end of life is expanded, it will be important to understand which skills both patients and health care students value.

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We consider an application scenario where points of interest (PoIs) each have a web presence and where a web user wants to iden- tify a region that contains relevant PoIs that are relevant to a set of keywords, e.g., in preparation for deciding where to go to conve- niently explore the PoIs. Motivated by this, we propose the length- constrained maximum-sum region (LCMSR) query that returns a spatial-network region that is located within a general region of in- terest, that does not exceed a given size constraint, and that best matches query keywords. Such a query maximizes the total weight of the PoIs in it w.r.t. the query keywords. We show that it is NP- hard to answer this query. We develop an approximation algorithm with a (5 + ǫ) approximation ratio utilizing a technique that scales node weights into integers. We also propose a more efficient heuris- tic algorithm and a greedy algorithm. Empirical studies on real data offer detailed insight into the accuracy of the proposed algorithms and show that the proposed algorithms are capable of computingresults efficiently and effectively.

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Two common scenarios in Geoforensics (definition in text) are considered: the provenance, or localization of unknown samples and the question of sample variability at scenes of crime/alibi locations. Both have been discussed in forensic and soil science publications, but mostly within a theoretical or non-forensic context. These previous publications provide context for the two case study scenarios (one actual, one based on a range of criminal casework) that consider provenance and variability. A challenging scientific question in geoforensics is the provenance question: ‘where may this sample have come from?’ A question the Tellus data can assist in answering. The question of variation between samples maybe less of a challenge, yet variation between a suspect sample within a scene of crime requires detailed sampling. Variation on a larger (tens to hundreds of kilometres) scale may provide useful intelligence on where a sample came from. To summarise, databases such as Tellus and TellusBorder may be used as effective tools to assist in the search for the origin of displaced soil and sediment