Artefact-oriented business process modelling: an ontological dependency approach

Business process modelling can help an organisation better understand and improve its business processes. Most business process modelling methods adopt a task- or activity-based approach to identifying business processes. Within our work, we use activity theory to categorise elements within organisations as being either human beings, activities or artefacts. Due to the direct relationship between these three elements, an artefact-oriented approach to organisation analysis emerges. Organisational semiotics highlights the ontological dependency between affordances within an organisation. We analyse the ontological dependency between organisational elements, and therefore produce the ontology chart for artefact-oriented business process modelling in order to clarify the relationship between the elements of an organisation. Furthermore, we adopt the techniques from semantic analysis and norm analysis, of organisational semiotics, to develop the artefact-oriented method for business process modelling. The proposed method provides a novel perspective for identifying and analysing business processes, as well as agents and artefacts, as the artefact-oriented perspective demonstrates the fundamental flow of an organisation. The modelling results enable an organisation to understand and model its processes from an artefact perspective, viewing an organisation as a network of artefacts. The information and practice captured and stored in artefact can also be shared and reused between organisations that produce similar artefacts.

Climatic simulations of the eastern Andes low-level jet and its dependency on convective parameterizations

The South American low level jet (SALLJ) of the Eastern Andes is investigated with Regional Climate Model version 3 (RegCM3) simulations during the 2002-2003 austral summer using two convective parameterizations (Grell and Emanuel). The simulated SALLJ is compared with the special observations of SALLJEX (SALLJ Experiment). Both the Grell and Emanuel schemes adequately simulate the low level flow over South America. However, there are some intensity differences. Due to the larger (smaller) convective activity, the Emanuel (Grell) scheme simulates more intense (weaker) low level wind than analysis in the tropics and subtropics. The objectives criteria of Sugahara (SJ) and Bonner (BJ) were used for LLJ identification. When applied to the observations, both criteria suggest a larger frequency of the SALLJ in Santa Cruz, followed by Mariscal, Trinidad and Asuncin. In Mariscal and Asuncin, the diurnal cycle indicates that SJ occurs mainly at 12 UTCs (morning), while the BJ criterion presents the SALLJ as more homogenously distributed. The concentration into two of the four-times-a-day observations does not allow conclusions about the diurnal cycle in Santa Cruz and Trinidad. The simulated wind profiles result in a lower than observed frequency of SALLJ using both the SJ and BJ criteria, with fewer events obtained with the BJ. Due to the stronger simulated winds, the Emanuel scheme produces an equal or greater relative frequency of SALLJ than the Grell scheme. However, the Grell scheme using the SJ criterion simulates the SALLJ diurnal cycle closer to the observed one. Although some discrepancies between observed and simulated mean vertical profiles of the horizontal wind are noted, there is large agreement between the composites of the vertical structure of the SALLJ, especially when the SJ criterion is used with the Grell scheme. On an intraseasonal scale, a larger southward displacement of SALLJ in February and December when compared with January has been noted. The Grell and Emanuel schemes simulated this observed oscillation in the low-level flow. However, the spatial pattern and intensity of rainfall and circulation anomalies simulated by the Grell scheme are closer to the analyses than those obtained with the Emanuel scheme.

Feasible estimation of generalized linear mixed models (GLMM) with weak dependency between groups

This paper presents a two-step pseudo likelihood estimation technique for generalized linear mixed models with the random effects being correlated between groups. The core idea is to deal with the intractable integrals in the likelihood function by multivariate Taylor's approximation. The accuracy of the estimation technique is assessed in a Monte-Carlo study. An application of it with a binary response variable is presented using a real data set on credit defaults from two Swedish banks. Thanks to the use of two-step estimation technique, the proposed algorithm outperforms conventional pseudo likelihood algorithms in terms of computational time.

Location dependency and sport sponsors : a factor analytic study

Theories explaining the mechanics of sport sponsorship relationships arc underdeveloped (Gilbert, 1 988; Hock, Gendall, & West, 1990; Pope, 1 998), bolstered by studies lacking systematic methods (Kuzma, Shanklin, & McCall, 1993) and tending toward broad, descriptive, macro-level analysis (Sandler & Shani, 1993). This paper attempts to redress this empirical chasm in a small way by examining an element of the sponsorship relationship. Specifically this paper explores the importance of one particular mode of sponsorship delivery: the location of a venue containing sponsor affiliations or what has been named location dependency. Location dependency of sport sponsors has been shown to be a pivotal determinant when devising sponsorship proposals or when assessing the attractiveness of a sponsorship opportunity (Wester- beek, 2000). Factor analysis was used to determine if sponsors' response patterns would deliver a number of constructs that could be related to the concept of location dependency. Factor analysis revealed five factors that principally reinforced the notion of location dependency of sponsorship. T-tests delivered significant differences between location dependent and location independent sponsors on some of the factors. The results of this study suggest that appreciating the concept of location dependency may assist companies in the effective discharge of their sponsorship decisions.

Biotechnology and governance in Australia and Sweden: path dependency or instutional convergence?

The development of new generic technologies occurs within traditional structures of industry-government interaction, but also unleashes a process of 'creative destruction' generating new institutional patterns. This article, focusing on biotechnology, describes and compares policy processes and institutional arrangements in Australia and Sweden. The Swedish biotechnology sector displays a pattern of fragmentation and relatively weak state steering. Australia, by contrast, has implemented a set of comparatively coordinated regulatory and other measures to foster the growth of biotechnology. This observation contradicts the characterisation of Sweden as a 'strong state' economy, and challenges the depiction of Australia as lacking in state steering capacity. The relative open-endedness of the search in these countries for a mode of regulation of biotechnology suggests that the role of the state in economic restructuring today is fundamentally distinct from that of earlier periods.

Compressibility of porous magnesium foam: dependency on porosity and pore size

Mechanical properties of porous magnesium with the porosity of 35–55% and the pore size of about 70–400 μm are investigated by compressive tests focusing on the effects of the porosity and pore size on the Young's modulus and strength. Results indicated that the Young's modulus and peak stress increase with decreasing porosity and pore size. The mechanical properties of the porous magnesium were in a range of those of cancellous bone. Therefore, it is suggested that the porous magnesium is one of promising scaffold materials for hard tissue regeneration.

Dialysis-dependency: the reformulated or remnant person

Being dependent on dialysis is a potentially overwhelming experience where life as previously known is permanently altered. A dialysis-dependent individual may reformulate their identify or perceive that they are a remnant if their former self. This paper will explore and expand Morse and Penrod's (1999) model as a useful way to understand how a person might reconstruct their identify. Grounded in a narrative methodology, interviews if those on haemodialysis and peritoneal dialysis were thematically analysed. It was found that dialysis dependency brings an acknowledgment if a lost past, an inescapable present and an unknowable future, filtered through hope and despair. Nurses need to understand the suffering, wrought by such a struggle,to facilitate the positive re-envisioning if those who are dialysis dependent.

Composition dependency of the glass forming ability (GFA) in Mg—Ni—Si system by mechanical alloying

The pure elemental powder mixtures with the compositions of Mg₆₅Ni_xSi₃₅−_x (x = 10, 20, 25, 33 at.%) were subject to high-energy ball mill, and the structures of the mixtures at different intervals of milling were characterised by X-ray diffraction (XRD). The compositional dependency of the glass forming ability (GFA) in Mg–Ni–Si system was evaluated based on the experimental results and the theoretical calculation. The compositional dependency of GFA in Mg–Ni–Si system can be understood well by comparing the enthalpies of the crystalline and amorphous phases based on the Miedema's theory for the formation enthalpy of alloys. Increasing the Ni/Mg ratio and/or decreasing Si content can improve the amorphous formability. The calculation results might be of great help in optimising the composition with high GFA in Mg–Ni–Si system.

Identifying dependency between secure messages for protocol analysis

Collusion attack has been recognized as a key issue in e-commerce systems and increasingly attracted people’s attention for quite some time in the literatures of information security. Regardless of the wide application of security protocol, this attack has been largely ignored in the protocol analysis. There is a lack of efficient and intuitive approaches to identify this attack since it is usually hidden and uneasy to find. Thus, this article addresses this critical issue using a compact and intuitive Bayesian network (BN)-based scheme. It assists in not only discovering the secure messages that may lead to the attack but also providing the degree of dependency to measure the occurrence of collusion attack. The experimental results demonstrate that our approaches are useful to detect the collusion attack in secure messages and enhance the protocol analysis.

Learning dependency model for AMP-activated protein kinase regulation

The AMP-activated protein kinase (AMPK) acts as a metabolic master switch regulating several intracellular systems. The effect of AMPK on muscle cellular energy status makes this protein a promising pharmacological target for disease treatment. With increasingly available AMPK regulation data, it is critical to develop an efficient way to analyze the data since this assists in further understanding AMPK pathways. Bayesian networks can play an important role in expressing the dependency and causality in the data. This paper aims to analyse the regulation data using B-Course, a powerful analysis tool to exploit several theoretically elaborate results in the fields of Bayesian and causal modelling, and discover a certain type of multivariate probabilistic dependencies. The identified dependency models are easier to understand in comparison with the traditional frequent patterns.

Dependency bagging

In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sample a dependency model expressed as a Directed Acyclic Graph (DAG). The attributes without connections to the class attribute in all the DAGs are then removed. Finally, a component learner is trained from each of the resulted samples to constitute the ensemble. Empirical study shows that DepenBag is effective in building ensembles of nearest neighbor classifiers.