Quality-Aware Resource Model Discovery

Context-aware process mining aims at extending a contemporary approach with process contexts for realistic process modeling. Regarding this discipline, there have been several attempts to combine process discovery and predictive process modeling and context information, e.g., time and cost. The focus of this paper is to develop a new method for deriving a quality-aware resource model. It first generates a resource-oriented transition system and identifies the quality-based superior and inferior cases. The quality-aware resource model is constructed by integrating these two results, and we also propose a model simplification method based on statistical analyses for better resource model visualization. This paper includes tooling support for our method, and one of the case studies on a semiconductor manufacturing process is presented to validate the usefulness of the proposed approach. We expect our work is practically applicable to a range of fields, including manufacturing and healthcare systems.

How to build capacity to best use good/best practice

In the Netherlands the best practice portals contains approximately 325 best and good practices with different levels of recognition (well described, theoretically sound and effective). Evaluations of the portal (2013 and 2018) show that the portal is well appreciated by professionals of municipal health services and stakeholders but the uptake of best practices can be improved. An implementation study (2014) to the uptake of interventions revealed that the RIVM had to work on dissemination strategies for policymakers, capacity building implementing best practices by professionals and incentive strategies for both groups. In this presentation the focus is on the capacity building of professionals. In order to support professionals and policymakers with evidence-based decision making the RIVM developed the online Manual Healthy Municipality, Healthy School and Healthy Kindergarten. In the manuals overviews of best practices are presented per theme (e.g. smoking), target group (e.g. elderly) or setting (e.g. neighbourhood) in combination with tools and instruments for intersectoral collaboration, citizens involvement and monitoring and evaluation. These manuals are well known and combine process information (how) with product information (what: effective programs and what works overviews). The implementation study showed also that professionals would like to have more support in the form of workshops and masterclasses. In order to get this the RIVM organizes workshops how to describe an intervention for recognition and how to adapt an intervention. The assumption that a recognized can't adapted to the local contexts was one of the inhibiting factors of the implementation of best practices. To ensure that the adjustments are made properly we have developed a checklist for the adaptation of interventions which is the base of the workshop. Professionals can also ask for a tailored work shop for example how to create support for the use of best practices.

Measuring and assessing the effects of collaborative innovation in crime prevention

This study reports the findings from an interactive research project in which academics and practitioners worked closely together in designing a new, criteria-based assessment tool that enables local municipalities to measure the degree of collaboration, innovation and crime-preventive effect in publicly financed projects intended to keep at-risk youth out of criminal activities. The assessment tool also offers a much-needed opportunity for researchers to study the extent to which cross-boundary collaboration may spur the development of innovative solutions, which in turn may help to prevent youth crime. The key empirical finding is that collaboration has a strong association with public innovation, which in turn has a strong association with the ability of local projects to help prevent crime. The result makes an important contribution to the expanding field of public innovation research in which quantitative studies that combine process evaluation and impact studies are extremely rare.

Mesoporous Silica MCM-41 as a Carriers Material for Nystatine Drug in Delivery System

In the present study, MCM-41 was synthesis as a carrier for poorly drugs soluble in water, by the sol-gel technique. Textural and chemical characterizations of MCM-41 were carried out by X-ray diffraction (XRD), Fourier transform infrared (FTIR), scanning electron microscope (SEM), and thermal gravimetric analysis (TGA). The experimental results were analyzed mesoporous carriers MCM-41. With maximum drug loading efficiency in MCM-41 determined to be 90.74%. The NYS released was prudently studied in simulated body fluid (SBF) pH 7.4 and the results proved that the release of NYS from MCM-41 was (87.79%) after 18 hr. The data of NYS released was found to be submitted a Weibull model with a correlation coefficient of (0.995). The Historical data experimental design facilitated the formulation and optimization of sustained discover the optimal formulation to loading drug, combine process variables, mixture components and categorical factors in one design.

Big Data at the service of teaching and scientific research within the UAE

With the emergence of the digital world, data access has become an action as quick and direct that many questions arise about the reliability and value of information. However, the data returned by the online search engines are based on an open and massive environment, which include data of any type, which come from different sources of information. Indeed, in the field of education and especially when using online search, the learner is left with a set of heterogeneous information that does not exist in an orderly format and are not easy to consume. This aspect of data variety represents the second V in the design of the Big Data phenomenon. With the aim to support learners in their search for information, it is proposed to design a specialized structuring tool to combine process and classify the variety of these massive data so they can provide the best result to the learner. The present article deals with the descriptive study of the current state of using online search by UAE's students, and the proposal to explore new methods and approaches through experimentation of our solution for open and massive data environment, in order to enhance learning and scientific research in the UAE.

Feedback practices in English in Norwegian upper secondary schools

The trends that we see both in official guidelines and school practices demonstrate a shift towards formative assessment strategies with an emphasis on feed-forward comments to the students. How this is carried out in schools varies, and the material in this study shows signs of changing evaluation practices in English instruction. One of the changes is an increased tendency to use process-oriented approaches to feedback, in which the students work through a draft several times before handing in a final product. Much of what is commented on in the feedback focuses on how ideas are organised and how the text is structured. Though process writing is a familiar concept from first language writing instruction, the specific focus on genre requirements in the feedback process makes this a somewhat different type of process-writing, similar to what we find in the genre-pedagogy tradition developed in Australia. The English teachers in this study who report working in this way combine process-writing with explicit instruction in genre requirements. This study explores current feedback practices, and illustrates how process-oriented feedback practices may be combined with writing instruction in a genre-pedagogy approach to writing to support students’ writing.

Thermal Mixing Points: A Thermomechanical Stress FEA Procedure

This paper outlines a procedure for calculating and evaluating the stresses in piping thermal mixing points, which combine process streams of significantly different temperatures. The temperatures and stresses in the pipe at the mixing point are calculated using 3-D finite element analysis. The temperature field calculations use a pipe flow heat transfer correlation. Once the temperature field is determined, it is used to calculate the thermal stresses. The stress results are calculated using the methodology of WRC-429 and compared to the allowable limits. The results of two sample mixing points are shown.