604 resultados para Ought to
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In his January 2009 report, ‘Implementing the Responsibility to Protect’, UN Secretary General Ban Ki-moon noted that the protection of refugees and the internally displaced were important goals tied to R2P. 1 The Secretary General has suggested that the time has come for the international community to translate R2P from words to deeds. It would seem that the improvement of the protection of displaced persons ought to be a central component of this task. How useful a concept is R2P for advancing the protection of refugees and IDPs? What challenges confront attempts to reconcile R2P and the protection of the displaced? How might these challenges be overcome? These are the kinds of questions that have motivated the contributors to this volume. The volume has brought together some of the leading thinkers and practitioners on refugee, IDP and R2P issues in order to examine the relationship between R2P and the protection of the displaced, and to consider the conceptual and practical challenges that confront the international community if R2P is to add value to efforts to protect displaced persons.
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Today’s economy is a knowledge-based economy in which knowledge is a crucial facilitator to individuals, as well as being an instigator of success. Due to the impact of globalisation, universities face new challenges and opportunities. Accordingly, they ought to be more innovative and have their own competitive advantages. One of the most important goals of universities is the promotion of students as professional knowledge workers. Therefore, knowledge sharing and transfer at the tertiary level between students and supervisors is vital in universities, as it decreases the budget and provides an affordable way to do research. Knowledge-sharing impact factors can be categorised in three groups, namely: organisational, individual, and technical factors. Individual barriers to knowledge sharing include: the lack of time and trust and the lack of communication skills and social networks. IT systems such as elearning, blogs and portals can increase the knowledge-sharing capability. However, it must be stated that IT systems are only tools and not solutions. Individuals are still responsible for sharing information and knowledge. This paper proposes a new research model to examine the effect of individual factors, organisational factors (learning strategy, trust culture, supervisory support) and technological factors on knowledge sharing in the research supervision process.
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Analysing census and industry data at the metro and neighbourhood levels, this paper seeks to identify the location characteristics associated with artistic clusters and determine how these characteristics vary across different places. We find that the arts cannot be taken overall as an urban panacea, but rather that their impact is place-specific and policy ought to reflect these nuances. However, our work also finds that, paradoxically, the arts’ role in developing metro economies is as highly underestimated as it is overgeneralised. While arts clusters exhibit unique industry, scale and place-specific attributes, we also find evidence that they cluster in ‘innovation districts’, suggesting they can play a larger role in economic development. To this end, our results raise important questions and point toward new approaches for arts-based urban development policy that look beyond a focus on the arts as amenities to consider the localised dynamics between the arts and other industries.
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This paper evaluates the suitability of sequence classification techniques for analyzing deviant business process executions based on event logs. Deviant process executions are those that deviate in a negative or positive way with respect to normative or desirable outcomes, such as non-compliant executions or executions that undershoot or exceed performance targets. We evaluate a range of feature types and classification methods in terms of their ability to accurately discriminate between normal and deviant executions both when deviances are infrequent (unbalanced) and when deviances are as frequent as normal executions (balanced). We also analyze the ability of the discovered rules to explain potential causes and contributing factors of observed deviances. The evaluation results show that feature types extracted using pattern mining techniques only slightly outperform those based on individual activity frequency. The results also suggest that more complex feature types ought to be explored to achieve higher levels of accuracy.
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We do not commonly associate software engineering with philosophical debate. Indeed, software engineers ought to be concerned with building software systems and not settling philosophical questions. I attempt to show that software engineers do, in fact, take philosophical sides when designing software applications. In particular, I look at how the problem of vagueness arises in software engineering and argue that when software engineers solve it, they commit to philosophical views that they are seldom aware of. In the second part of the paper, I suggest a way of dealing with vague predicates without having to confront the problem of vagueness itself. The purpose of my paper is to highlight the currently prevalent disconnect between philosophy and software engineering. I claim that a better knowledge of the philosophical debate is important as it can have ramifications for crucial software design decisions. Better awareness of philosophical issues not only produces better software engineers, it also produces better engineered products.
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A new system has been developed to determine enzyme activities of glutathione transferase θ (GSTT1-1) based on radiometric product detection resulting from the enzymic reaction of methyl chloride with 35S-labelled glutathione. In principle, the method is universally applicable for determination of glutathione transferase activities towards a multiplicity of substrates. The method distinguishes between erythrocyte GSTT1-1 activities of human 'non-conjugators', 'low conjugators' and 'high conjugators'. Application to cytosol preparations of livers and kidneys of male and female Fischer 344 and B6C3F1 mice reveals differential GSTT1-1 activities in hepatic and renal tissues. These ought to be considered in species-specific modellings of organ toxicities of chlorinated hydrocarbons.
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In vitro cell biology assays play a crucial role in informing our understanding of the migratory, proliferative and invasive properties of many cell types in different biological contexts. While mono-culture assays involve the study of a population of cells composed of a single cell type, co-culture assays study a population of cells composed of multiple cell types (or subpopulations of cells). Such co-culture assays can provide more realistic insights into many biological processes including tissue repair, tissue regeneration and malignant spreading. Typically, system parameters, such as motility and proliferation rates, are estimated by calibrating a mathematical or computational model to the observed experimental data. However, parameter estimates can be highly sensitive to the choice of model and modelling framework. This observation motivates us to consider the fundamental question of how we can best choose a model to facilitate accurate parameter estimation for a particular assay. In this work we describe three mathematical models of mono-culture and co-culture assays that include different levels of spatial detail. We study various spatial summary statistics to explore if they can be used to distinguish between the suitability of each model over a range of parameter space. Our results for mono-culture experiments are promising, in that we suggest two spatial statistics that can be used to direct model choice. However, co-culture experiments are far more challenging: we show that these same spatial statistics which provide useful insight into mono-culture systems are insuffcient for co-culture systems. Therefore, we conclude that great care ought to be exercised when estimating the parameters of co-culture assays.
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The field of design research is a marketplace of methodological diversity. It isn't just that there are many different research methods in the field, but that there are many different methodological 'foundations' - principles for how research can and should be done, for how contributions to knowledge ought to be pursued. This is not particularly surprising given how broadly 'design' is often conceptualised. Herbert Simon (1996) suggested "the proper study of mankind is the science of design"; Nigel Cross has identified a principal difference between humankind and the animal kingdom to be our ability to design. In light of such encompassing notions of design it is difficult to imagine how the field of design research should exhibit any less diversity than that found within and among the arts, humanities, the human and social sciences.
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Aim This paper is a report of a narrative review examining the current state of knowledge regarding adherence with cardiac medication among South Asian cardiac patients. Background South Asians experience higher rates of cardiovascular disease than any other ethnic group. South Asians may be less adherent with a cardiac medication regimen than Caucasians. The factors contributing to adherence are important to discover to assist South Asians to optimize their cardiac health. Data sources CINAHL, Medline (Ovid), PsychINFO, EMB Reviews-(Cochrane), and EMBASE were accessed using the key words: 'South Asian', 'Asia', 'East India', 'India', 'Pakistan', 'Bangladesh', 'Sri Lanka', 'medication compliance', 'medication noncompliance' and 'medication adherence'. English language papers published from January 1980 to January 2013 were eligible for inclusion. Review methods Abstracts were reviewed for redundancy and eligibility by the primary author. Manuscripts were then retrieved and reviewed for eligibility and validity by the first and last authors. Content analysis strategies were used for the synthesis. Results Thirteen papers were in the final data set; most were conducted in India and Pakistan. Medication side-effects, cost, forgetfulness and higher frequency of dosing contributed to non-adherence. South Asian immigrants also faced language barriers, which contributed to non-adherence. Knowledge regarding the medications prescribed was a factor that increased adherence. Conclusion South Asians' non-adherence to cardiac medications is multifaceted. How South Asians who newly immigrate to Western countries make decisions regarding their cardiac medication adherence ought to be explored in greater detail.
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Background Self-management of chronic kidney disease (CKD) is crucial for health outcomes and people need to be effectively supported by healthcare professionals (HCPs). Some programmes designed to improve self-management have been implemented, but people with the disease are rarely consulted regarding what they desire from these programmes. Objectives To provide a synthesis of the literature on preferences for self-management support of people with CKD. Design An integrative review. Methods Four databases (MedLine, CINAHL, PsycARTICLES and PsycINFO) were searched using relevant search terms. Results The search strategy identified 1,913 records, of which 12 studies met inclusion criteria. Ten themes were identified as important areas to be addressed by self-management interventions. In addition, patient suggestions for implementation of such interventions are discussed. Conclusion The principles of a person-centred approach ought to frame the support provided by HCPs when supporting those with CKD to better self-manage.
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To meet clients/owners’ multidimensional and changing requirements, construction management consultants (CMCs) ought to possess a diverse and dynamic knowledge structure. In China, although the population of CMCs has grown to the point of their being indispensable in the industry, their knowledge structure has not been explored explicitly. The study presented in this paper investigated this by first conducting a comprehensive content analysis of the curricula of the highest ranked construction management university courses in China. This was followed by in-depth interviews with experts, resulting in the identification of 22 main knowledge areas that can be grouped into technology, economy, management and law. A questionnaire survey was then conducted among 115 experienced CMCs to evaluate the current level of knowledge in these areas together with their importance and need-for-improvement. The main findings demonstrate the significance of the identified 22 knowledge areas, and they also need substantial improvement in practice. The research has practical implications for China's CMCs to develop necessary knowledge and the extent to which they need to be improved to provide a better quality of services in future.
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A new intellectual epoch has generated new enterprises to suit changed beliefs and circumstances. A widespread sentiment in both formal historiography and curriculum studies reduces the “new” to the question of how knowledge is recognized as such, how it is gained, and how it is represented in narrative form. Whether the nature of history and conceptions of knowledge are, or ought to be, central considerations in curriculum studies and reducible to purposes or elevated as present orientated requires rethinking. This paper operates as an incitement to discourse that disrupts the protection and isolation of primary categories in the field whose troubling is overdue. In particular, the paper moves through several layers that highlight the lack of settlement regarding the endowment of objects for study with the status of the scientific. It traces how some “invisible” things have been included within the purview of curriculum history as objects of study and not others. The focus is the making of things deemed invisible into scientific objects (or not) and the specific site of analysis is the work of William James (1842-1910). James studied intensely both child mind and the ghost, the former of which becomes scientized and legitimated for further study, the latter abjected. This contrast opens key points for reconsideration regarding conditions of proof, validation criteria, and subject matters and points to opportunities to challenge some well-rehearsed foreclosures within progressive politics and education.
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In 1954, American consumer behaviour academic, Gregory Stone identified four different types of consumers. Consisting of 150 in-depth interviews, Stone’s research found there was an “economic” shopper, who was after bargains, a “personalising” shopper, who liked interaction with staff, and an “apathetic” shopper, who was disillusioned and unengaged in shopping activity. Then there was the “ethical” grocery shopper – consumers who demonstrated a moral obligation to patronise local merchants, purchase locally produced products and felt the need to “shop where they ought to”. This ethical shopper was willing to sacrifice lower prices, convenience and range, in order to “help the little guys out”.The idea of the ethical shopper has since taken hold in mainstream retailing. But my new research has suggested that socially responsible consumption may be a thing of the past.
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Scratch assays are difficult to reproduce. Here we identify a previously overlooked source of variability which could partially explain this difficulty. We analyse a suite of scratch assays in which we vary the initial degree of confluence (initial cell density). Our results indicate that the rate of re-colonisation is very sensitive to the initial density. To quantify the relative roles of cell migration and proliferation, we calibrate the solution of the Fisher–Kolmogorov model to cell density profiles to provide estimates of the cell diffusivity, D, and the cell proliferation rate, λ. This procedure indicates that the estimates of D and λ are very sensitive to the initial density. This dependence suggests that the Fisher–Kolmogorov model does not accurately represent the details of the collective cell spreading process, since this model assumes that D and λ are constants that ought to be independent of the initial density. Since higher initial cell density leads to enhanced spreading, we also calibrate the solution of the Porous–Fisher model to the data as this model assumes that the cell flux is an increasing function of the cell density. Estimates of D and λ associated with the Porous–Fisher model are less sensitive to the initial density, suggesting that the Porous–Fisher model provides a better description of the experiments.
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Many biological environments are crowded by macromolecules, organelles and cells which can impede the transport of other cells and molecules. Previous studies have sought to describe these effects using either random walk models or fractional order diffusion equations. Here we examine the transport of both a single agent and a population of agents through an environment containing obstacles of varying size and shape, whose relative densities are drawn from a specified distribution. Our simulation results for a single agent indicate that smaller obstacles are more effective at retarding transport than larger obstacles; these findings are consistent with our simulations of the collective motion of populations of agents. In an attempt to explore whether these kinds of stochastic random walk simulations can be described using a fractional order diffusion equation framework, we calibrate the solution of such a differential equation to our averaged agent density information. Our approach suggests that these kinds of commonly used differential equation models ought to be used with care since we are unable to match the solution of a fractional order diffusion equation to our data in a consistent fashion over a finite time period.