Pathways for delivery of surface water nutrients to receptors

Diffuse contaminants can make their way into rivers via a number of different pathways, including overland flow, interflow, and shallow and deep groundwater. Identification of the key pathway(s) delivering contaminants to a receptor is important for implementing effective water management strategies. The ‘Pathways Project’, funded by the Irish Environmental Protection Agency, is developing a catchment management tool that will enable practitioners to identify the critical source areas for diffuse contaminants, and the key pathways of interest in assessing contaminant problems on a catchment and sub-catchment scale.
One of the aims of the project is to quantify the flow and contaminant loadings being delivered to the stream via each of the main pathways. Chemical separation of stream event hydrographs is being used to supplement more traditional physical hydrograph separation methods. Distinct, stable chemical signatures are derived for each of the pathway end members, and the proportion of flow from each during a rainfall event can be determined using a simple mass balance approach.
Event sampling was carried out in a test catchment underlain by poorly permeable soils and bedrock, which is predominantly used for grazing with a number of one-off rural residential houses. Results show that artificial field drainage, which includes subterranean land drains and collector drains around the perimeters of the 1 to 10 ha fields, plays an important role in the delivery of flow and nutrients to the streams in these types of hydrogeological settings.
Nitrate infiltrates with recharge and is delivered to the stream primarily via the artificial drains and the shallow groundwater pathway. Longitudinal stream profiles show that the nitrate load input is relatively uniform over the 8 km length of the stream at high flows, suggesting widespread diffuse contaminant input. In contrast, phosphorus is adsorbed in the clay-rich soil and is transported mainly via the overland flow pathway and the artificial drains. Longitudinal stream profiles for phosphorus suggest a pattern of more discrete points of phosphorus inputs, which may be related to point sources of contamination.
These techniques have application elsewhere within a toolkit of methods for determining the key pathways delivering contaminants to surface water receptors.

Assessing and measuring impact of a digital collection in the humanities: An analysis of the SPHERE (Stormont Parliamentary Hansards: Embedded in Research and Education) Project

Although a substantial corpus of digital materials is now available to scholarship across the disciplines, objective evidence of their use, impact, and value, based on a robust assessment, is sparse. Traditional methods of assessment of impact in the humanities, notably citation in scholarly publications, are not an effective way of assessing impact of digital content. These issues are problematic in the field of Digital Humanities where there is a need to effectively assess impact to justify its continued funding and existence. A number of qualitative and quantitative methods exist that can be used to monitor the use of digital resources in various contexts although they have yet to be applied widely. These have been made available to the creators, managers, and funders of digital content in an accessible form through the TIDSR (Toolkit for the Impact of Digital Scholarly Resources) developed by the Oxford Internet Institute. In 2011, the authors of this article developed the SPHERE project (Stormont Parliamentary Hansards: Embedded in Research and Education) specifically to use TIDSR to evaluate the use and impact of The Stormont Papers, a digital collection of the Hansards of the Stormont Northern Irish Parliament from 1921 to 1972. This article presents the methodology, findings, and analysis of the project. The authors argue that TIDSR is a useful and, critically, transferrable method to understand and increase the impact of digital resources. The findings of the project are modified into a series of wider recommendations on protecting the investment in digital resources by increasing their use, value, and impact. It is reasonable to suggest that effectively showing the impact of Digital Humanities is critical to its survival.

Preferences for a third-trimester ultrasound scan in a low-risk obstetric population: a discrete choice experiment

Objective: Establish maternal preferences for a third-trimester ultrasound scan in a healthy, low-risk pregnant population.

Design: Cross-sectional study incorporating a discrete choice experiment.

Setting: A large, urban maternity hospital in Northern Ireland.

Participants: One hundred and forty-six women in their second trimester of pregnancy.

Methods: A discrete choice experiment was designed to elicit preferences for four attributes of a third-trimester ultrasound scan: health-care professional conducting the scan, detection rate for abnormal foetal growth, provision of non-medical information, cost. Additional data collected included age, marital status, socio-economic status, obstetric history, pregnancy-specific stress levels, perceived health and whether pregnancy was planned. Analysis was undertaken using a mixed logit model with interaction effects.

Main outcome measures: Women's preferences for, and trade-offs between, the attributes of a hypothetical scan and indirect willingness-to-pay estimates.

Results: Women had significant positive preference for higher rate of detection, lower cost and provision of non-medical information, with no significant value placed on scan operator. Interaction effects revealed subgroups that valued the scan most: women experiencing their first pregnancy, women reporting higher levels of stress, an adverse obstetric history and older women.

Conclusions: Women were able to trade on aspects of care and place relative importance on clinical, non-clinical outcomes and processes of service delivery, thus highlighting the potential of using health utilities in the development of services from a clinical, economic and social perspective. Specifically, maternal preferences exhibited provide valuable information for designing a randomized trial of effectiveness and insight for clinical and policy decision makers to inform woman-centred care.

Managing knowledge in internationalizing universities through foreign assignments

Purpose: This article discusses the opportunities presented by the globalization of education and the role of knowledge management in successful global expansion. It seeks to explain why the tacit dimensions of the knowledge transferred during international education provision makes it difficult to provide educational services in offshore campuses, absent the transfer of people. Design/methodology/approach: The article draws on literature in the discipline of international business to explain why internationalizing universities need to consider the role of knowledge transfer as a strategic imperative. As this is a conceptual article, arguments are built on insights from extant theoretical and empirical work. Findings: Based on the analysis of a diverse body of academic literature in the areas of international business, knowledge management and education theory, this article demonstrates the role of foreign assignments in the transfer of tacit knowledge in universities with offshore campuses. Research limitations/implications: The implications of the proposition raised in this article are presented with a focus on how they affirm the need for foreign assignments for effective knowledge management in internationalizing universities. Those implications include the need to use assignments to deliver courses offshore and to create face-to-face interactions with academics at partner universities. Originality/value: Drawing on a diverse body of academic literature, this article provides theoretical and practical insights into how assignments can be utilized in international educational management, international educational delivery, and the creation of an environment in which knowledge resources can be utilized on an international basis. © Emerald Group Publishing Limited.

Thermal properties, sizes, and size distribution of Jupiter-family cometary nuclei

We present results from SEPPCoN, an on-going Survey of the Ensemble Physical Properties of Cometary Nuclei. In this report we discuss mid-infrared measurements of the thermal emission from 89 nuclei of Jupiter-family comets (JFCs). All data were obtained in 2006 and 2007 using imaging capabilities of the Spitzer Space Telescope. The comets were typically 4-5 AU from the Sun when observed and most showed only a point-source with little or no extended emission from dust. For those comets showing dust, we used image processing to photometrically extract the nuclei. For all 89 comets, we present new effective radii, and for 57 comets we present beaming parameters. Thus our survey provides the largest compilation of radiometrically-derived physical properties of nuclei to date. We have six main conclusions: (a) The average beaming parameter of the JFC population is 1.03 ± 0.11, consistent with unity; coupled with the large distance of the nuclei from the Sun, this indicates that most nuclei have Tempel 1-like thermal inertia. Only two of the 57 nuclei had outlying values (in a statistical sense) of infrared beaming. (b) The known JFC population is not complete even at 3 km radius, and even for comets that approach to ˜2 AU from the Sun and so ought to be more discoverable. Several recently-discovered comets in our survey have small perihelia and large (above ˜2 km) radii. (c) With our radii, we derive an independent estimate of the JFC nuclear cumulative size distribution (CSD), and we find that it has a power-law slope of around -1.9, with the exact value depending on the bounds in radius. (d) This power-law is close to that derived by others from visible-wavelength observations that assume a fixed geometric albedo, suggesting that there is no strong dependence of geometric albedo with radius. (e) The observed CSD shows a hint of structure with an excess of comets with radii 3-6 km. (f) Our CSD is consistent with the idea that the intrinsic size distribution of the JFC population is not a simple power-law and lacks many sub-kilometer objects.

Material Logistics in Urban Construction Sites: A Structural Equation Model

Aim: The aim of this paper is to identify best practice relating to the effective management of materials in an urban, confined construction site, using structural equation modelling.

Methodology: A literature review, case study analysis and questionnaire survey are employed, with the results scrutinised using confirmatory factor analysis in the form of structural equation modelling.

Results: The following are the leading strategies in the management of materials in a confined urban site environment; (1) Consult and review the project programme, (2) Effective communication and delivery, (3) Implement site safety management plans, and (4) Proactive spatial monitoring and control.

Implication for Practice: With the relentless expansion of urban centres and the increasing high cost of materials, any potential savings made on-site would translate into significant monetary concessions on completion of a development.

Originality/Value: As on-site project management professionals successfully identify and implement the various strategies in the management of plant and materials on a confined urban site, successful resource management in this restrictive environment is attainable.

Innovative Aspect of Paper: An empirical study of three different construction sites in three different countries (Ireland, England and USA) together with a questionnaire survey from the industry, investigating the managerial strategies in the management of plant and material in confined urban site environments

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

In this paper, our previous work on Principal Component Analysis (PCA) based fault detection method is extended to the dynamic monitoring and detection of loss-of-main in power systems using wide-area synchrophasor measurements. In the previous work, a static PCA model was built and verified to be capable of detecting and extracting system faulty events; however the false alarm rate is high. To address this problem, this paper uses a well-known ‘time lag shift’ method to include dynamic behavior of the PCA model based on the synchronized measurements from Phasor Measurement Units (PMU), which is named as the Dynamic Principal Component Analysis (DPCA). Compared with the static PCA approach as well as the traditional passive mechanisms of loss-of-main detection, the proposed DPCA procedure describes how the synchrophasors are linearly
auto- and cross-correlated, based on conducting the singular value decomposition on the augmented time lagged synchrophasor matrix. Similar to the static PCA method, two statistics, namely T2 and Q with confidence limits are calculated to form intuitive charts for engineers or operators to monitor the loss-of-main situation in real time. The effectiveness of the proposed methodology is evaluated on the loss-of-main monitoring of a real system, where the historic data are recorded from PMUs installed in several locations in the UK/Ireland power system.

Antecedents of loyalty to a brand : Apple clients vs. non-clients

Apple is undoubtedly a sui generis and remarkable brand in what concerns to its branding and brand experience, and remains an indisputable reference in the consumer electronics and computer industries. The aim of this study encompasses the development and empirical testing of two conceptual models that evaluate and allow to draw a comparison between Apple clients and non-clients’ perceptions, regarding brand experience, brand perceived value, price perceptions and brand trust; and that determine the antecedents of clients’ loyalty to the brand. Therefore, the contribution of this study to the literature relies on the research of the impact of brand experience on brand perceived value and on price perceptions, as well as the influence of price perceptions (positive and negative) on trust, satisfaction, and commitment to the brand. Two surveys were used to test each conceptual model, through a sample collected across the portuguese academic community. The findings prove the strong influence of the sensory and affective aspects of brand experience on both clients and non-clients. They also reveal that the negative role of price is neutralized in the presence of strong brand experience, and that the fact that Apple is viewed as an “expensive brand” may highlight its association to higher quality and prestige. Also, this study reinforces the important role of satisfaction and commitment in building customer loyalty, corroborating the existent literature. Managerial implications derived from the findings are also discussed.

Majorantes para a ordem de subgrafos induzidos k-regulares

Muitos dos problemas de otimização em grafos reduzem-se à determinação de um subconjunto de vértices de cardinalidade máxima que induza um subgrafo k-regular. Uma vez que a determinação da ordem de um subgrafo induzido k-regular de maior ordem é, em geral, um problema NP-difícil, são deduzidos novos majorantes, a determinar em tempo polinomial, que em muitos casos constituam boas aproximações das respetivas soluções ótimas. Introduzem-se majorantes espetrais usando uma abordagem baseada em técnicas de programação convexa e estabelecem-se condições necessárias e suficientes para que sejam atingidos. Adicionalmente, introduzem-se majorantes baseados no espetro das matrizes de adjacência, laplaciana e laplaciana sem sinal. É ainda apresentado um algoritmo não polinomial para a determinação de umsubconjunto de vértices de umgrafo que induz umsubgrafo k-regular de ordem máxima para uma classe particular de grafos. Finalmente, faz-se um estudo computacional comparativo com vários majorantes e apresentam-se algumas conclusões.

Mass-wasting episodes in the geological evolution of the Azores islands : timing, recurrence, mechanisms and consequence

Tese de doutoramento (co-tutela), Geologia (Geodinâmica Interna), Faculdade de Ciências da Universidade de Lisboa, Faculté des Sciences D’Orsay-Université Paris-Sud, 2014

Application of WRF-Chem to Forecasting PM10 Concentration over Poland

The meteorological and chemical transport model WRF-Chem was implemented to forecast PM10 concentrations over Poland. WRF-Chem version 3.5 was configured with three one way nested domains using the GFS meteorological data and the TNO MACC II emissions. Forecasts, with 48h lead time, were run for a winter and summer period 2014. WRF-Chem in general captures the variability in observed PM10 concentrations, but underestimates some peak concentrations during winter-time. The peaks coincide with either stable atmospheric condition during nighttime in the lower part of the planetary boundary layer or on days with very low surface temperatures. Such episodes lead to increased combustion in residential heating, where hard coal is the main fuel in Poland. This suggests that a key to improvement in the model performance for the peak concentrations is to focus on the simulation of PBL processes and the distribution of emissions with high resolution in WRF-Chem.

Against divisiveness: Digital workers of the world unite! A rejoinder to César Bolaño and Eloy Vieira

This piece is a short rejoinder to César Bolaño’s paper The Political Economy of the Internet and related articles (e.g., Comor, Foley, Huws, Reveley, Rigi and Prey, Robinson) that center around the relevance of Marx’s labor theory of value for understanding social media. I argue that Dallas Smythe’s assessment of advertising was made to distinguish his approach from the one by Baran and Sweezy. Smythe developed the idea of capital’s exploitation of the audience at a time when both feminist and anti-imperialist Marxists challenged the orthodox idea that only white factory workers are exploited. The crucial question is how to conceptualize productive labor. This is a theoretical, normative, and political question. A mathematical example shows the importance of the “crowdsourcing” of value-production on Facebook. I also point out parallels of the contemporary debate to the Soviet question of who is a productive or unproductive worker in the Material Product System.

Self-optimization module for scheduling using case-based reasoning

Metaheuristics performance is highly dependent of the respective parameters which need to be tuned. Parameter tuning may allow a larger flexibility and robustness but requires a careful initialization. The process of defining which parameters setting should be used is not obvious. The values for parameters depend mainly on the problem, the instance to be solved, the search time available to spend in solving the problem, and the required quality of solution. This paper presents a learning module proposal for an autonomous parameterization of Metaheuristics, integrated on a Multi-Agent System for the resolution of Dynamic Scheduling problems. The proposed learning module is inspired on Autonomic Computing Self-Optimization concept, defining that systems must continuously and proactively improve their performance. For the learning implementation it is used Case-based Reasoning, which uses previous similar data to solve new cases. In the use of Case-based Reasoning it is assumed that similar cases have similar solutions. After a literature review on topics used, both AutoDynAgents system and Self-Optimization module are described. Finally, a computational study is presented where the proposed module is evaluated, obtained results are compared with previous ones, some conclusions are reached, and some future work is referred. It is expected that this proposal can be a great contribution for the self-parameterization of Metaheuristics and for the resolution of scheduling problems on dynamic environments.

Distributed energy resource short-term scheduling using signaled particle swarm optimization

Distributed Energy Resources (DER) scheduling in smart grids presents a new challenge to system operators. The increase of new resources, such as storage systems and demand response programs, results in additional computational efforts for optimization problems. On the other hand, since natural resources, such as wind and sun, can only be precisely forecasted with small anticipation, short-term scheduling is especially relevant requiring a very good performance on large dimension problems. Traditional techniques such as Mixed-Integer Non-Linear Programming (MINLP) do not cope well with large scale problems. This type of problems can be appropriately addressed by metaheuristics approaches. This paper proposes a new methodology called Signaled Particle Swarm Optimization (SiPSO) to address the energy resources management problem in the scope of smart grids, with intensive use of DER. The proposed methodology’s performance is illustrated by a case study with 99 distributed generators, 208 loads, and 27 storage units. The results are compared with those obtained in other methodologies, namely MINLP, Genetic Algorithm, original Particle Swarm Optimization (PSO), Evolutionary PSO, and New PSO. SiPSO performance is superior to the other tested PSO variants, demonstrating its adequacy to solve large dimension problems which require a decision in a short period of time.

Alimentação e saúde : uma abordagem epidemiológica de estudantes universitários

Resumo: A alimentação e o estado nutricional são factores determinantes do estado de saúde e sabe-se hoje que os mecanismos da patogénese de várias doenças crónicas não-transmissíveis podem ocorrer no início da idade adulta. A alimentação é influenciada por uma multiplicidade de factores, entre os quais se contam a importância atribuída à alimentação, o peso e imagem corporal e a percepção dos riscos associados à escolha de alimentos. Esta investigação teve como objectivos analisar, em estudantes universitários até aos 30 anos de idade, o estado nutricional, a importância atribuída a alimentação, as percepções do peso e da imagem corporal e a percepção do risco de doença relacionada com a alimentação. Os objectivos foram cumpridos através de dois desenhos de estudo distintos: estudo descritivo transversal e estudo de caso-controlo. Avaliou-se o peso, altura e os perímetros da cintura e da anca e construiu-se um questionário de auto-preenchimento para recolher a restante informação. Encontraram-se valores para a prevalência de obesidade e excesso de peso de, respectivamente, 6,5% e 24,3% e concluiu-se que existe uma percepção incorrecta do peso e da imagem corporal, mais frequente entre os indivíduos obesos. Os obesos também consideram a alimentação menos importante que os indivíduos normoponderais. A análise da percepção dos riscos revela que os inquiridos consideram que factores como a obesidade e a inactividade física são menos prejudiciais para a saúde do que factores como as alterações climáticas ou as radiações de telefones móveis. Verificaram-se também diferenças entre sexos nos parâmetros estudados: relativamente às mulheres, os homens sobrestimam mais frequentemente o peso e a imagem corporal, consideram a alimentação menos importante, julgam-se em menor risco de doença e classificam os factores de risco estudados como menos prejudiciais. Conclui-se que as estratégias de educação alimentar e de promoção da saúde devem considerar as diferenças registadas entre sexos e a importância atribuída à alimentação e as percepções do risco, do peso e da imagem corporal. Abstract: Nutrition and nutritional status are health determinants and it’s accepted that the mechanisms for the pathogenesis of several chronic non-communicable diseases can occur in early adult age. Nutrition is influenced by a large number of factors, including the value placed on food, weight and body image and the risk perception associated with food choice. Consequently, the analysis of the factors that can influence food behaviour and food choice in young adults can be useful for the control and prevention of nutrition related disease. The objectives of this research were to analyse, in college students up to 30 years of age, nutritional status, value placed on nutrition, weight and body image perceptions and the risk perception of nutrition related disease. Two study designs were used: cross-sectional and case-control. Weight, height and waist and hip circumference were measured and a questionnaire was built to collect the remaining information. Prevalences of 6,5% for obesity and 24,3% for excess weight were found, along with the existence of biased weight and body image perceptions, more frequent in obese subjects. Obese subjects also placed less value on nutrition than non-obese. Risk perception analysis shows that risk factors like obesity and physical inactivity are considered less hazardous than risk factors like climate changes and mobile phone radiation. Men, comparatively to women, overestimated more frequently their weight and body image, placed less value in nutrition, considered themselves less disease susceptible and classified the risk factors studied as less hazardous. The conclusions of this study show that nutrition education and health promotion strategies should consider the gender related differences reported and, also, the value placed on nutrition and weigh, body image and risk perceptions.