Evaluating business value of IT towards optimisation of the application portfolio

Information technology has become heavily embedded in business operations. As business needs change over time, IT applications are expected to continue providing required support. Whether the existing IT applications are still fit for the business purpose they were intended or new IT applications should be introduced, is a strategic decision for business, IT and business-aligned IT. In this paper, we present a method which aims to analyse business functions and IT roles, and to evaluate business-aligned IT from both social and technical perspectives. The method introduces a set of techniques that systematically supports the evaluation of the existing IT applications in relation to their technical capabilities for maximising business value. Furthermore, we discuss the evaluation process and results which are illustrated and validated through a real-life case study of a UK borough council, and followed by discussion on implications for researchers and practitioners.

Rationality of service composition of Workflow Net in a service oriented architecture

Users’ requirements change drives an information system evolution. Consequently, such evolution affects those atomic services which provide functional operations from one state of their composition to another state of composition. A challenging issue associated with such evolution of the state of service composition is to ensure a resultant service composition remaining rational. This paper presents a method of Service Composition Atomic-Operation Set (SCAOS). SCAOS defines 2 classes of atomic operations and 13 kinds of basic service compositions to aid a state change process by using Workflow Net. The workflow net has algorithmic capabilities to compose the required services with rationality and maintain any changes to the services in a different composition also rational. This method can improve the adaptability to the ever changing business requirements of information systems in the dynamic environment.

Oppida, agglomerations and suburbia: the bibracte environs and new perspectives on late Iron Age urbanism in central-eastern France

This paper explores the nature and chronology of La Tène and early Roman unenclosed agglomerations in central-eastern France. It has been prompted by the discovery of a c. 115 ha La Tène D2b/Augustan (c. 50 bc to ad 15) site close to Bibracte in the Morvan, located around the source of the River Yonne. This complex provides a new perspective on the chronology and role of Late La Tène and early Roman unenclosed settlements, adding further complexity to the story of the development of Late La Tène oppida. It indicates that these ‘agglomerations’ followed remarkably varied chronological trajectories, raising important issues concerning the nature of landscape and social change at the end of the Iron Age. Dieser Aufsatz untersucht den Charakter und die Datierung von latènezeitlichen und frührömischen offenen Siedlungen im östlichen Zentralfrankreich. Die Anregung dazu erfolgte durch die Entdeckung einer Latène D2b-zeitlichen bis augusteischen (ca. 50 v. Chr. – 15 n. Chr.) Anlage im Morvan bei Bibracte, die ca. 115 ha Fläche bedeckt und sich um die Quellen des Flusses Yonne erstreckt. Es wird vorgeschlagen, dass dieser Siedlungskomplex eine Ergänzung, aber auch einen Kontrast zu den üblichen Interpretationsmodellen von spätlatènezeitlichen und frührömischen, offenen Großsiedlungen und ihrer zeitlichen Entwicklung darstellt, und weiter zur Komplexität der Entwicklung spätlatènezeitlicher Oppida beiträgt. Es deutet sich an, dass einige der ‘Agglomerationen’ anderen Entwicklungslinien folgen, die wichtige Fragen zur Landschaftsgenese und zum sozialen Wandel am Ende der Eisenzeit aufwerfen. Cet article a pour but d'explorer la nature ainsi que la chronologie des agglomérations ouvertes apparaissant à La Tène Final et au début de la période gallo-romaine du Centre-Est de la France. Il fut inspiré et écrit suite à la découverte dans le Morvan d'un site de 115 ha datant de La Tène D2b et de la période Augustéenne (50 av. J.C. à 15 ap. J.C.) s'étirant autour des Sources de l'Yonne. Cette agglomération apporte de nouvelles perspectives sur la chronologie et sur le rôle des habitats ouverts à la fin de l'Âge du Fer ainsi qu'au début de l'époque gallo-romaine apportant des éléments amenés à renforcer le caractère complexe de l'histoire du développement des oppida à La Tène Final. Cette synthèse tend à démontrer que ces agglomérations suivaient des trajectoires chronologiques variées, élevant un certain nombre de questions, et donc des nouvelles problématiques, concernant la nature du paysage et du changement social à la fin de l'Âge du Fer.

Performing knowledge requirements analysis for public organisations in a Virtual Learning Environment: a social network analysis approach

This paper describes an application of Social Network Analysis methods for identification of knowledge demands in public organisations. Affiliation networks established in a postgraduate programme were analysed. The course was executed in a distance education mode and its students worked on public agencies. Relations established among course participants were mediated through a virtual learning environment using Moodle. Data available in Moodle may be extracted using knowledge discovery in databases techniques. Potential degrees of closeness existing among different organisations and among researched subjects were assessed. This suggests how organisations could cooperate for knowledge management and also how to identify their common interests. The study points out that closeness among organisations and research topics may be assessed through affiliation networks. This opens up opportunities for applying knowledge management between organisations and creating communities of practice. Concepts of knowledge management and social network analysis provide the theoretical and methodological basis.

Big data architecture for pervasive healthcare: a literature review

Pervasive healthcare aims to deliver deinstitutionalised healthcare services to patients anytime and anywhere. Pervasive healthcare involves remote data collection through mobile devices and sensor network which the data is usually in large volume, varied formats and high frequency. The nature of big data such as volume, variety, velocity and veracity, together with its analytical capabilities com-plements the delivery of pervasive healthcare. However, there is limited research in intertwining these two domains. Most research focus mainly on the technical context of big data application in the healthcare sector. Little attention has been paid to a strategic role of big data which impacts the quality of healthcare services provision at the organisational level. Therefore, this paper delivers a conceptual view of big data architecture for pervasive healthcare via an intensive literature review to address the aforementioned research problems. This paper provides three major contributions: 1) identifies the research themes of big data and pervasive healthcare, 2) establishes the relationship between research themes, which later composes the big data architecture for pervasive healthcare, and 3) sheds a light on future research, such as semiosis and sense-making, and enables practitioners to implement big data in the pervasive healthcare through the proposed architecture.

Validation of a priori CME arrival predictions made using real-time heliospheric imager observations

Between December 2010 and March 2013, volunteers for the Solar Stormwatch (SSW) Citizen Science project have identified and analyzed coronal mass ejections (CMEs) in the near real-time Solar Terrestrial Relations Observatory Heliospheric Imager observations, in order to make “Fearless Forecasts” of CME arrival times and speeds at Earth. Of the 60 predictions of Earth-directed CMEs, 20 resulted in an identifiable Interplanetary CME (ICME) at Earth within 1.5–6 days, with an average error in predicted transit time of 22 h, and average transit time of 82.3 h. The average error in predicting arrival speed is 151 km s−1, with an average arrival speed of 425km s−1. In the same time period, there were 44 CMEs for which there are no corresponding SSW predictions, and there were 600 days on which there was neither a CME predicted nor observed. A number of metrics show that the SSW predictions do have useful forecast skill; however, there is still much room for improvement. We investigate potential improvements by using SSW inputs in three models of ICME propagation: two of constant acceleration and one of aerodynamic drag. We find that taking account of interplanetary acceleration can improve the average errors of transit time to 19 h and arrival speed to 77 km s−1.

Chinese overseas doctoral student narratives of intercultural adaptation

This study aims to explore how Chinese overseas doctoral students adjust to a different academic, social and cultural environment, using Giddens’ theoretical framework of self-identity (1991). The findings indicate the participants proactively used various coping strategies in meeting challenges, and adapting to new social environments. Continuity and stability of self-identity were achieved either culturally or academically through self-reflexivity, autonomy, creativity, authenticity, and reliance on an ontological identity. The result is to challenge the grand narrative of essentialised “problematic Chinese learners”.

GLP-1 Inhibits and Adrenaline Stimulates Glucagon Release by Differential Modulation of N- and L-Type Ca(2+) Channel-Dependent Exocytosis

Glucagon secretion is inhibited by glucagon-like peptide-1 (GLP-1) and stimulated by adrenaline. These opposing effects on glucagon secretion are mimicked by low (1-10 nM) and high (10 mu M) concentrations of forskolin, respectively. The expression of GLP-1 receptors in a cells is <0.2% of that in beta cells. The GLP-1-induced suppression of glucagon secretion is PKA dependent, is glucose independent, and does not involve paracrine effects mediated by insulin or somatostatin. GLP-1 is without much effect on a cell electrical activity but selectively inhibits N-type Ca(2+) channels and exocytosis. Adrenaline stimulates a cell electrical activity, increases [Ca(2+)] enhances L-type Ca(2+) channel activity, and accelerates exocytosis. The stimulatory effect is partially PKA independent and reduced in Epac2-deficient islets. We propose that GLP-1 inhibits glucagon secretion by PKA-dependent inhibition of the N-type Ca(2+) channels via a small increase in intracellular cAMP ([cAMP]). Adrenaline stimulates L-type Ca(2+) channel-dependent exocytosis by activation of the low-affinity cAMP sensor Epac2 via a large increase in [cAMP],.

TUMOR NECROSIS FACTOR IS NOT ASSOCIATED WITH INTESTINAL ISCHEMIA/REPERFUSION-INDUCED LUNG INFLAMMATION

Intestinal ischemia-reperfusion (I/R) injury may cause acute systemic and lung inflammation. Here, we revisited the role of TNF-alpha in an intestinal I/R model in mice, showing that this cytokine is not required for the local and remote inflammatory response upon intestinal I/R injury using neutralizing TNF-alpha antibodies and TNF ligand-deficient mice. We demonstrate increased neutrophil recruitment in the lung as assessed by myeloperoxidase activity and augmented IL-6, granulocyte colony-stimulating factor, and KC levels, whereas TNF-alpha levels in serum were not increased and only minimally elevated in intestine and lung upon intestinal I/R injury. Importantly, TNF-alpha antibody neutralization neither diminished neutrophil recruitment nor any of the cytokines and chemokines evaluated. In addition, the inflammatory response was not abrogated in TNF and TNF receptors 1 and 2-deficient mice. However, in view of the damage on the intestinal barrier upon intestinal I/R with systemic bacterial translocation, we asked whether Toll-like receptor (TLR) activation is driving the inflammatory response. In fact, the inflammatory lung response is dramatically reduced in TLR2/4-deficient mice, confirming an important role of TLR receptor signaling causing the inflammatory lung response. In conclusion, endogenous TNF-alpha is not or minimally elevated and plays no role as a mediator for the inflammatory response upon ischemic tissue injury. By contrast, TLR2/4 signaling induces an orchestrated cytokine/chemokine response leading to local and remote pulmonary inflammation, and therefore disruption of TLR signaling may represent an alternative therapeutic target.

Bifurcation analysis of a model for biological control

In this paper we study the Lyapunov stability and Hopf bifurcation in a biological system which models the biological control of parasites of orange plantations. (c) 2007 Elsevier Ltd. All rights reserved.

Kinetic and mechanistic investigation of the ozonolysis of 2,4-xylidine (2,4-dimethyl-aniline) in acidic aqueous solution

The ozonolysis of 2,4-xylidine (2,4-dimethyl-aniline) in acidic aqueous solution was investigated by determining the major reaction products and their evolution as a function of the reaction time and their dependence on the pH of the reaction system. 2,4-Dimethyl-nitrobenzene and 2,4-dimethyl-phenol were found to be primary reaction products; their formation might be explained by electron transfer and substitution reactions. 2,4-Dimethyl-phenol was further oxidized yielding 2,4-dimethyl- and/or 4,6-dimethyl-resorcinol by electrophilic addition of HO(center dot) radicals. The best fitting phenomenological kinetic model and the good convergence of calculated and experimentally determined rate constants imply two additional competitive pathways of substrate oxidation: (i) electrophilic addition of HO(center dot) radicals and fast subsequent substitution would also yield the resorcinol derivatives. (ii) Substrate and isolated products are thought to be oxidized by hydrogen abstraction at the benzylic sites, but the corresponding products (alcohols, aldehydes, and carboxylic acids) could not be identified. Fe(II) was added to probe for the presence of H(2)O(2), but had no or only a minor effect on the kinetics of the ozonolysis. (c) 2009 Elsevier B.V. All rights reserved.

A Gradient-Type Method For Real-Time State Estimation Of Water Distribution Networks

Drinking water distribution networks risk exposure to malicious or accidental contamination. Several levels of responses are conceivable. One of them consists to install a sensor network to monitor the system on real time. Once a contamination has been detected, this is also important to take appropriate counter-measures. In the SMaRT-OnlineWDN project, this relies on modeling to predict both hydraulics and water quality. An online model use makes identification of the contaminant source and simulation of the contaminated area possible. The objective of this paper is to present SMaRT-OnlineWDN experience and research results for hydraulic state estimation with sampling frequency of few minutes. A least squares problem with bound constraints is formulated to adjust demand class coefficient to best fit the observed values at a given time. The criterion is a Huber function to limit the influence of outliers. A Tikhonov regularization is introduced for consideration of prior information on the parameter vector. Then the Levenberg-Marquardt algorithm is applied that use derivative information for limiting the number of iterations. Confidence intervals for the state prediction are also given. The results are presented and discussed on real networks in France and Germany.

Avaliação do impacto da iniciativa hospital amigo da criança nas taxas de aleitamento materno em clientela do Hospital de Clínicas de Porto Alegre/RS

OBJETIVO: Avaliar o impacto da Iniciativa Hospital Amigo da Criança (IHAC) nas taxas de aleitamento materno nos primeiros seis meses de vida da criança. MÉTODOS: Este é um estudo observacional prospectivo, que acompanhou duas coortes de crianças nascidas em hospital de Porto Alegre (Brasil), uma antes (n=187) e outra após (n=250) a implantação da IHAC. Todas as crianças saudáveis, com peso de nascimento igual ou maior do que 2.500g e com amamentação iniciada. O acompanhamento foi realizado mediante visitas domiciliares ou contato telefônico no final do primeiro, segundo, quarto e sexto mês de vida da criança, ou até interrupção do aleitamento materno se ocorrida antes dos seis meses. RESULTADOS: As curvas de sobrevida nos primeiros seis meses mostraram freqüências do aleitamento materno e do aleitamento materno exclusivo maiores entre as crianças nascidas após a implantação da IHAC. As crianças nascidas antes da IHAC tiveram uma prevalência 66% maior de ter o leite materno exclusivo interrompido no final do 1º mês e uma prevalência de interrupção precoce do aleitamento materno 55% maior no 4º mês de idade, após ajuste para variáveis idade, renda per capita, estado civil e sexo do bebê. O impacto positivo nas taxas de aleitamento materno exclusivo praticamente se limitou aos dois primeiros meses. A população menos privilegiada foi aparentemente a mais beneficiada com a Iniciativa. CONCLUSÕES: A IHAC aumentou significativamente as taxas de aleitamento materno nos primeiros seis meses de vida, sobretudo o exclusivo. No entanto, o impacto foi de curta duração para a amamentação exclusiva, o que aponta para a necessidade de estratégias de sustentação dessa prática.