Crime script analysis as a methodology to analyse criminal processes is underdeveloped. This is apparent from the various approaches in which scholars apply crime scripting and present their cybercrime scripts. The plethora of scripting methods raise significant concerns about the reliability and validity of these scripting studies. In this methodological paper, we demonstrate how object-oriented modelling (OOM) could address some of the currently identified methodological issues, thereby refining crime script analysis. More specifically, we suggest to visualise crime scripts using static and dynamic modelling with the Unified Modelling Language (UML) to harmonise cybercrime scripts without compromising their depth. Static models visualise objects in a system or process, their attributes and their relationships. Dynamic models visualise actions and interactions during a process. Creating these models in addition to the typical textual narrative could aid analysts to more systematically consider, organise and relate key aspects of crime scripts. In turn, this approach might, amongst others, facilitate alternative ways of identifying intervention measures, theorising about offender decision-making, and an improved shared understanding of the crime phenomenon analysed. We illustrate the application of these models with a phishing script.
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To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes the interactions between key entities that lead to the adverse outcome on multiple biological levels of organization. The construction or optimization of an AOP is a labor intensive process, which currently depends on the manual search, collection, reviewing and synthesis of available scientific literature. This process could however be largely facilitated using Natural Language Processing (NLP) to extract information contained in scientific literature in a systematic, objective, and rapid manner that would lead to greater accuracy and reproducibility. This would support researchers to invest their expertise in the substantive assessment of the AOPs by replacing the time spent on evidence gathering by a critical review of the data extracted by NLP. As case examples, we selected two frequent adversities observed in the liver: namely, cholestasis and steatosis denoting accumulation of bile and lipid, respectively. We used deep learning language models to recognize entities of interest in text and establish causal relationships between them. We demonstrate how an NLP pipeline combining Named Entity Recognition and a simple rules-based relationship extraction model helps screen compounds related to liver adversities in the literature, but also extract mechanistic information for how such adversities develop, from the molecular to the organismal level. Finally, we provide some perspectives opened by the recent progress in Large Language Models and how these could be used in the future. We propose this work brings two main contributions: 1) a proof-of-concept that NLP can support the extraction of information from text for modern toxicology and 2) a template open-source model for recognition of toxicological entities and extraction of their relationships. All resources are openly accessible via GitHub (https://github.com/ontox-project/en-tox).
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Business rules play a critical role during decision making when executing business processes. Existing modelling techniques for business rules offer modellers guidelines on how to create models that are consistent, complete and syntactically correct. However, modelling guidelines that address manageability in terms of anomalies such as insertion, update and deletion are not widely available. This paper presents a normalisation procedure that provides guidelines for managing and organising business rules. The procedure is evaluated by means of an experiment based on existing case study material. Results show that the procedure is useful for minimising insertion and deletion anomalies.
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On a four-year bachelor course at Inholland University of Applied Sciences in the Netherlands, additional modern language was offered to first-year students studying at three locations. Since each location only had a few students and there was only one language teacher available, across the three locations, lessons were given by the teacher in a ‘hybrid’ classrooms. The teacher was at one location with some students while students from the other two locations would join via live video link. The focus was to develop speaking and listening skills through in-classroom discussion that took place via the video link. Short video news segments in the language were watched live in class. This lead to discussion and practicing the language. Learning support materials were available in the form of a grammar book with an online self-test learning environment. The research group conducted research on this original and creative solution to teaching smaller groups since much could be learned from a practical, didactic and organisational perspective. Several organisational issues influenced the course. And from a pedagogical perspective, this case supported findings from the literature that it is complicated to engage with students live in a classroom while also communicating with students at other locations via a video screen.
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Among other things, learning to write entails learning how to use complex sentences effectively in discourse. Some research has therefore focused on relating measures of syntactic complexity to text quality. Apart from the fact that the existing research on this topic appears inconclusive, most of it has been conducted in English L1 contexts. This is potentially problematic, since relevant syntactic indices may not be the same across languages. The current study is the first to explore which syntactic features predict text quality in Dutch secondary school students’ argumentative writing. In order to do so, the quality of 125 argumentative essays written by students was rated and the syntactic features of the texts were analyzed. A multilevel regression analysis was then used to investigate which features contribute to text quality. The resulting model (explaining 14.5% of the variance in text quality) shows that the relative number of finite clauses and the ratio between the number of relative clauses and the number of finite clauses positively predict text quality. Discrepancies between our findings and those of previous studies indicate that the relations between syntactic features and text quality may vary based on factors such as language and genre. Additional (cross-linguistic) research is needed to gain a more complete understanding of the relationships between syntactic constructions and text quality and the potential moderating role of language and genre.
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In 2015, the Object Management Group published the Decision Model and Notation with the goal to structure and connect business processes, decisions and underlying business logic. Practice shows that several vendors adopted the DMN standard and (started to) integrate the standard with their tooling. However, practice also shows that there are vendors who (consciously) deviate from the DMN standard while still trying to achieve the goal DMN is set out to reach. This research aims to 1) analyze and benchmark available tooling and their accompanied languages according to the DMN-standard and 2) understand the different approaches to modeling decisions and underlying business logic of these vendor specific languages. We achieved the above by analyzing secondary data. In total, 22 decision modelling tools together with their languages were analyzed. The results of this study reveal six propositions with regards to the adoption of DMN with regards to the sample of tools. These results could be utilized to improve the tools as well as the DMN standard itself to improve adoption. Possible future research directions comprise the improvement of the generalizability of the results by including more tools available and utilizing different methods for the data collection and analysis as well as deeper analysis into the generation of DMN directly from tool-native languages.
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Occupational stress can cause all kinds of health problems. Resilience interventions that help employees deal with and adapt to adverse events can prevent these negative consequences. Due to advances in sensor technology and smartphone applications, relatively unobtrusive self-monitoring of resilience-related outcomes is possible. With models that can recognize intra-individual changes in these outcomes and relate them to causal factors within the employee’s own context, an automated resilience intervention that gives personalized, just-in-time feedback can be developed. The Wearables and app-based resilience Modelling in employees (WearMe) project aims to develop such models. A cyclical conceptual framework based on existing theories of stress and resilience is presented, as the basis for the WearMe project. The included concepts are operationalized and measured using sleep tracking (Fitbit Charge 2), heart rate variability measurements (Elite HRV + Polar H7) and Ecological Momentary Assessment (mobile app), administered in the morning (7 questions) and evening (12 questions). The first (ongoing) study within the WearMe project investigates the feasibility of the developed measurement cycle and explores the development of such models in social studies students that are on their first major internship. Analyses will target the development of both within-subject (n=1) models, as well as between-subjects models. The first results will be shared at the Health By Tech 2019 conference in Groningen. If successful, future work will focus on further developing these models and eventually exploring the effectiveness of the envisioned personalized resilience system.
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Using a Dietetic Care Process (DCP) can lead to improved application of evidence-based guidelines and critical thinking in dietetics. One aim of the project Improvement of Education and Competences in Dietetics (IMPECD) is to develop a unified DCP for international educational purposes. Therefore, a comparison of European DCPs was needed.A concise literature search and semi-structured interviews with experts representing the full EFAD (European Federation of the Associations of Dietitians) member states were conducted from June to October 2017.16 out of 23 EFAD member states responded (70%) from which 13 indicated to use a DCP. Eight different DCPs were found, with four to six core steps and three graphical representations. In one country the use of a dietetic process is indicated by law. The DCPs have more similarities than differences as they follow the same principles. Differences in language or form may not limit the improvement in collaboration and international exchange in dietetic practice. These results provide a good basis for the development of a unified DCP for educational purposes.
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Interoperabiliteit is het vermogen van informatiesystemen om samen te werken binnen en buiten de grenzen van de organisatie. Binnen de gezondheidszorg betreft het dan ondersteuning van een effectieve zorg. Vanwege de snelle technologische ontwikkelingen en de toenemende complexiteit van de communicatie is de verwachting dat aan interoperabiliteit gerelateerde problemen steeds zichtbaarder en merkbaarder worden. Dit is ook bij radiotherapie het geval. Daarnaast is in Nederland een trend gaande van radiotherapie afdelingen die groeien naar multi-locatie afdelingen. De voorbereidingen door de afdeling radiotherapie van het VUmc voor haar satellietlocatie waren de aanleiding om in 2010 te starten met een onderzoek naar interoperabiliteitsproblemen binnen het vakgebied radiotherapie. Hiervoor is een enquête gehouden onder alle afdelingen radiotherapie in Nederland. Meer informatie is verkregen door interviews op vier radiotherapie afdelingen. Op de afdeling radiotherapie van het VUmc is een casus studie uitgevoerd, waarbij de bedrijfsprocessen en informatiestromen werden gemodelleerd. Geïdentificeerde interoperabiliteitsproblemen zijn geanalyseerd en aanbevelingen ter verbetering zijn gedaan. De bevindingen zijn dat de technische interoperabiliteitsproblemen zeldzaam zijn en dat ze meestal op strategisch en semantisch niveau optreden, dat wil zeggen de eenduidigheid van de berichten structuur en de juiste interpretatie van van de informatie. Voor de afdeling radiotherapie van het VUmc zijn geen grote nieuwe interoperabiliteitsproblemen te verwachten in de groei naar een multi-locatie afdeling. Verwacht wordt dat de meeste problemen zullen worden gedekt door bestaande of toekomstige integratieprofielen van 'Integrating the Healthcare Enterprise'.
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The present document describes a nutritional approach that is nested in the European Innovation Partnership for Active and Healthy Aging (EIP-AHA) and aims to provide the first common European program translating an integrated approach to nutritional frailty in terms of a multidimensional and transnational methodology. The document has been developed by the A3 Nutrition Action Area of the EIP-AHA and aims at providing a stepwise approach to malnutrition in older citizens, identifying adequate interventions based on a unified assessment and ICT-supported solutions. “NutriLive” is an integrated nutritional approach, represented by a structured Screening-Assessment-Monitoring-Action-Pyramid-Model (SAM-AP). Its core concept is the stratification of the nutritional needs, considered by the working group as the key for targeted, effective, and sustainable interventions. “NutriLive” tries to close gaps in epidemiological data within an aging population, creating a unified language to deal with the topic of nutrition and malnutrition in Europe. By assembling all the validated screening, assessment, and monitoring tools on malnutrition in a first pyramid, which is interrelated to a second intervention pyramid, the A3 Nutrition WG identifies a common, integrated vision on the nutritional approach to frailty, which applies to the various health care settings.
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