Managing Process Variants as an Information Resource

Many business solutions provide best practice process templates, both generic as well as for specific industry sectors. However, it is often the variance from template solutions that provide organizations with intellectual capital and competitive differentiation. In this paper, we present a modeling framework that is conducive to constrained variance, by supporting user driven process adaptations. The focus of the paper is on providing a means of utilizing the adaptations effectively for process improvement through effective management of the process variants repository (PVR). In particular, we will provide deliberations towards a facility to provide query functionality for PVR that is specifically targeted for effective search and retrieval of process variants

A Model of Dynamic Resource Allocation in Workflow Systems

Current collaborative work environments are characterized by dynamically changing organizational structures. Although there have been several efforts to refine work distribution, especially in workflow management, most literature assumes a static database approach which captures organizational roles, groups and hierarchies and implements a dynamic roles based agent assignment protocol. However, in practice only partial information may be available for organizational models, and in turn a large number of exceptions may emerge at the time of work assignment. In this paper we present an organizational model based on a policy based normative system. The model is based on a combination of an intentional logic of agency and a flexible, but computationally feasible, non-monotonic formalism (Defeasible Logic). Although this paper focuses on the model specification, the proposed approach to modelling agent societies provides a means of reasoning with partial and unpredictable information as is typical of organizational agents in workflow system

Application of Firefly Optimization Algorithm to the Design and Characterization of Helmholtz Coils for Magnetic Field Sensor Calibration

This paper presents the application of Firefly Optimization Algorithm (FOA) to the design and characterization of Helmholtz coils to create homogenous magnetic field needed for calibrating magnetic field sensors and used for other experiments. Magnetometer is used to monitor and record the earth’s magnetic field data at the geomagnetic observatory. Earth’s magnetic field data from ground-based magnetometer observatories are important for studying geomagnetic storm. The absence of earth’s magnetic field data observatories results in a complex mysterious phenomenon of geomagnetic storm and remains as unexplained one. Fluxgate magnetometer is contributing to the ongoing extensive research work dedicated to the explanation of some of the complex phenomena related to geomagnetic storm and solar terrestrial system. In order to examine magnetic field sensing of a fluxgate sensor, a large area with uniform magnetic field is required. The advantage of having a large area is to allow easy access of the sensor during magnetic field measurements. A laboratory design and characterization of high quality Helmholtz coils is a better choice when Helmholtz coil with larger areas that are available in the market are very expensiv

Collaborative business process management through harmonized messaging

Workflow systems in specific and Business Process Management Technologies in general, have significantly contributed to overcoming some of the integration problems of intra and inter enterprise process control and monitoring. However, the complexity of the interactions between heterogeneous and autonomous systems with in the enterprise and often between trading partners in ever increasing. A number of initiatives and proposals are underway to provide solutions for process specification and communication. However, the focus is often on defining APIs and interfaces rather than the semantics of the underlying interactions. On the other hand messaging technologies are well positioned as the key enabling technology for facilitating these interactions. Although messaging systems have traditionally had a different agenda dominated by scalability and performance, we see a great potential in the enhancement of current messaging infrastructure, in its new role in facilitating complex, long running interactions for dynamic and collaborative processes operating in decentralized environments like the web. In this paper, we primarily present a vision for a technology aimed at providing a level of harmonization to multiple messages to form a single custom definable backbone. We will provide the foundation framework for the harmonized messaging technology and identify fundamental issues for the management of such complex interactions

Bilateral pneumothorax as possible atypical presentation of coronavirus disease 2019 (COVID-19)

© 2020 The Authors Coronavirus disease 2019 (COVID-19) is most frequently associated with a mild presentation of fever, cough, and shortness of breath. Typical radiographic findings of COVID-19 are bilateral ground-glass opacities on computed tomography (CT) scans. However, there have been instances of pneumothorax, giant bulla, and pneumomediastinum, mainly in elderly COVID-19 patients and predominately occurring at least one week after symptom onset. Here, we report a case where a healthy, young Hispanic man presented with three days of fever, cough, and dyspnea. On admission to the emergency department, he was found to have bilateral pneumothoraces, pneumomediastinum, and pneumopericardium requiring bilateral chest tubes. The patient had no predisposing risk factors for pneumothorax, such as a history of trauma, smoking, past intubations, asthma, high pressure oxygen delivery, or a history of prior pneumothorax. The only positive diagnostic test was a SARS-CoV-2 test by real-time reverse transcriptase–polymerase chain reaction assay. This case highlights the potential atypical presentation of a COVID-19 infection and is the first reported case, to our knowledge, that features bilateral spontaneous pneumothoraces, pneumomediastinum, and pneumopericardium as a probable rare presentation of COVID-19

Efficient Compliance Checking Using BPMN-Q and Temporal Logic

Abstract. Compliance rules describe regulations, policies and quality constraints business processes must adhere to. Given the large number of rules and their frequency of change, manual compliance checking can be-come a time-consuming task. Automated compliance checking of process activities and their ordering is an alternative whenever business pro-cesses and compliance rules are described in a formal way. This paper introduces an approach for automated compliance checking. Compliance rules are translated into temporal logic formulae that serve as input to model checkers which in turn verify whether a process model satisfies the requested compliance rule. To address the problem of state-space explo-sion we employ a set of reduction rules. The approach is prototypically realized and evaluated.

Non-Arrhenius Behavior of Surface Diffusion Near a Phase Transition Boundary

We study the non-Arrhenius behavior of surface diffusion near the second-order phase transition boundary of an adsorbate layer. In contrast to expectations based on macroscopic thermodynamic effects, we show that this behavior can be related to the average microscopic jump rate which in turn is determined by the waiting-time distribution W(t) of single-particle jumps at short times. At long times, W(t) yields a barrier that corresponds to the rate-limiting step in diffusion. The microscopic information in W(t) should be accessible by STM measurements.Comment: 4 pages, Latex with RevTeX macro

Best proximity point theorems for α-nonexpansive mappings in Banach spaces

In this paper, we discuss sufficient and necessary conditions for the existence of best proximity points for non-self-a-nonexpansive mappings in Banach spaces. We obtain convergence results under some assumptions, and we prove the existence of common best proximity points for a family of non-self-a-nonexpansive mappings