Game development businesses often choose Lua for separating scripted game logic from reusable engine code. Lua can easily be embedded, has simple interfaces, and offers a powerful and extensible scripting language. Using Lua, developers can create prototypes and scripts at early development stages. However, when larger quantities of engine code and script are available, developers encounter maintainability and quality problems. First, the available automated solutions for interoperability do not take domain-specific optimizations into account. Maintaining a coupling by hand between the Lua interpreter and the engine code, usually in C++, is labour intensive and error-prone. Second, assessing the quality of Lua scripts is hard due to a lack of tools that support static analysis. Lua scripts for dynamic analysis only report warnings and errors at run-time and are limited to code coverage. A common solution to the first problem is developing an Interface Definition Language (IDL) from which ”glue code”, interoperability code between interfaces, is generated automatically. We address quality problems by proposing a method to complement techniques for Lua analysis. We introduce Lua AiR (Lua Analysis in Rascal), a framework for static analysis of Lua script in its embedded context, using IDL models and Rascal.
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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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Purpose: Applying evidence-based grammar intervention can be challenging for speech and language therapists (SLTs). Language in Interaction Therapy (LIT) is a focused stimulation intervention for children with weak morphosyntactic skills, which was developed to support SLTs in incorporating results from effect studies in daily practice. The aims of this Clinical Focus are (a) to explain the principles and elements of LIT and stimulate use in daily SLT practice and (b) to describe the effects of LIT on morphosyntactic skills of 4- to 5-year-olds in special education, compared to usual care. Method: With a description of LIT, we provide guidance to implement evidence-based intervention. Important elements are as follows: proper selection of therapy goals, language facilitating techniques, child-centered and clinician-directed elements, and the use of scripts. Our focus in the description is on the support and practical solutions LIT tries to provide to SLTs. We also explored the implementation of LIT in special education, to improve morphosyntax in 4- and 5-year-old children. We provided SLTs with training and designed protocols for each therapy session. The effects of LIT were measured in a single-case A-B design, repeated in five children with developmental language disorders (ages 4;2-5;7 [years;months]). Conclusion: We conclude that implementation of LIT is possible if LIT is enriched with support in goal selection, protocols to guide therapy sessions, and training and coaching. In the single-case study, four children showed more growth in mean length of utterance during and directly following the LIT intervention phase, compared to the baseline phase with usual care, and in two of them, this difference was significant. The grammatical complexity measure "TARSP-P" showed an overall significantly higher score at group level during LIT, but limited effects on an individual level.
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Background: Goal setting is an essential step in the clinical reasoning process of speech and language therapists (SLTs) who provide care for children, adolescents and adults with communication disorders. In the light of person-centred care, shared or collaborative goal setting between the SLT and client is advised in (inter)national guidelines. SLTs face challenges in implementing (shared) goal setting as theoretical frameworks and practical interventions are scarce and less applicable to use with a wide range of communication vulnerable populations. Aims: A first step in developing theory and practical interventions is to explore first-hand experiences of SLTs and clients about day-to-day goal-setting practice. This study was guided by the following research question:What are the perspectives and needs of SLTs and persons with communication disorders regarding (shared) goal setting in routine SLT services? Methods & Procedures: The qualitative study was carried out in the setting of routine speech–language therapy services in community practices, primary education and neurological rehabilitation in the Netherlands. Data collection followed the principles of video-reflexive ethnography, using video footage of goal-setting conversations to facilitate semi-structured, reflexive interviews.Data analysis was based on reflexive thematic analysis. A total of 12 interviews were conducted with client–SLT dyads, covering perspectives from children, parents and adults with a range of communication difficulties and their SLTs. Outcomes & Results: Data analysis resulted in four themes, of which two contain subthemes. Each theme represents a central organizing concept found in SLT and client interviews. The themes were identified as: (1) goal setting is a complex process; (2) goal talk needs to be communication accessible; (3) communicative participation goals are hard to grasp; and (4) the importance of relationships. Topics such as power imbalance, communication vulnerability, effective communication strategies, and motivation and trust are explored under these themes. Conclusions & Implications: SLTs are encouraged to view shared goal setting as a process that needs to be explicitly planned and communicated with clients regardless of their age or communication vulnerability. SLTs have expert knowledge and skills when it comes to supporting communication and applying these skills during goal talks might strengthen shared goal setting and foster a therapeutic relationship. There is a need to concretely conceptualize and embed shared goal setting in policy and clinical guidelines. The themes reported have tentative clinical implications for developing such policy, and shared goal-setting interventions for SLT practice, under the condition that SLTs and people with communication disorders are continuously involved.
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In this paper, we report on interview data collected from 14 Deaf leaders across seven countries (Australia, Belgium, Ireland, the Netherlands, Switzerland, United Kingdom, and the United States) regarding their perspectives on signed language interpreters. Using a semi-structured survey questionnaire, seven interpreting researchers interviewed two Deaf leaders each in their home countries. Following transcription of the data, the researchers conducted a thematic analysis of the comments. Four shared themes emerged in the data, as follows: (a) variable level of confidence in interpreting direction, (b) criteria for selecting interpreters, (c) judging the competence of interpreters, and (d) strategies for working with interpreters. The results suggest that Deaf leaders share similar, but not identical, perspectives about working with interpreters, despite differing conditions that hold regarding how interpreting services are provided in their respective countries. When compared to prior studies of Deaf leaders’ perspectives of interpreters, these data indicate some positive trends in Deaf leaders’ experience with interpreters; however, results also point to a need for further work in creating an atmosphere of trust, enhancing interpreters’ language fluency, and developing mutual collaboration between Deaf leaders and signed language interpreters. De url van de uitgeversversie van het artikel is: http://dx.doi.org/10.1556/084.2017.18.1.5
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In this paper we show the Casanova language (and its accompanying design pattern, Rule-Script-Draw) in action by building a series of games with it. In particular we discuss how Casanova is suitable for making games regardless of their genre: the Game of Life, a shooter game, an adventure game and a strategy game. We also discuss the difference between Casanova and existing frameworks.
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This dissertation focuses on the question how money mules are recruited and which mechanisms play a role. Money mules are people who receive money from victims of online fraud. They are an indispensable link in the commission of financial-economic cybercrimes, such as phishing and bank helpdesk fraud, because they break the financial trail from victims to core members. The crucial role of money mules in the crime script and the possible consequences for young money mules themselves make them a valuable target group for scientific research. Almost no empirical research has been conducted into money mules and the involvement mechanisms of cybercrime. However, this knowledge is necessary for the development and application of prevention measures: interventions aimed at money mules disrupt the execution of various forms of online fraud, which can reduce victimization of cybercrime among citizens and businesses. In total, the dissertation consists of six empirical chapters, in which different research methods were used. This includes questionnaires and expert interviews, but also more unique and innovative methods such as online field experiments and analysis of police investigations into cybercriminal networks. The dissertation shows that money mules - still - form a crucial link in the world of financial-economic cybercrime. It is clear that this phenomenon manifests itself in different ways over time: online bank accounts, international bank accounts and crypto wallets are currently popular among cybercriminal networks because they offer even more anonymity than bank accounts at large traditional banks. This also means that money mules are also recruited for their identification cards instead of their bank card, which offenders use to open up accounts for themselves. It can be concluded that the social environment of money mules forms a criminal opportunity structure. Money mules are approached via-via and actively addressed; online on social media such as Instagram and Telegram but also offline on the street, at school or at the metro station. Social relationships therefore offer cybercriminal networks access to co-offenders, including money mules, and can explain why young people become involved in the world of cybercrime. Financial motivations play a role here, because money mules often look up to the luxurious lifestyle of criminals and give up bank account details in exchange for compensation. Risk perceptions regarding the likelihood of being caught and the consequences of money muling are low and money mules justify the criminal behavior. In addition to financial considerations, some recruiters also exert pressure or even threaten with violence. This reflects the heterogeneous nature of the target group and makes it clear that various involvement mechanisms play a role.
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This reports is about content and language integrated learning (CLIL) in multilingual primary classrooms. While in theory CLIL offers many opportunities for inclusive education in multilingual settings, questions remain as to how integrated language teaching can be realised, and what teacher knowledge is required for this. This research used a CLIL Teaching Wall activity and interviews with UK and Dutch primary school teachers to capture teacher knowledge underlying decision-making in actual multilingual classrooms. The report presents a framework of CLIL teacher knowledge that emerged from this work.
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Rapport van de pilot SMART Sensordata Infrastructuur (SSI). Deze pilot is uitgevoerd door docenten en studenten van de opleiding AGIS van de HAS green academy in de periode van juni t/m december 2022 in samenwerking met en met financiële steun van het DCC voor Praktijkgericht onderzoek van SURF. Dit rapport bevat de volgende op te leveren resultaten:1. Ontwerp en praktische beschrijving van algemeen toepasbare datadriven-workflow voor sensordata2. Ontwerp en praktische beschrijving van metadata-model van sensor-data, gericht op datadefinitie en datakwaliteit
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Communication between healthcare professionals and deaf patients has been particularly challenging during the COVID-19 pandemic. We have explored the possibility to automatically translate phrases that are frequently used in the diagnosis and treatment of hospital patients, in particular phrases related to COVID-19, from Dutch or English to Dutch Sign Language (NGT). The prototype system we developed displays translations either by means of pre-recorded videos featuring a deaf human signer (for a limited number of sentences) or by means of animations featuring a computer-generated signing avatar (for a larger, though still restricted number of sentences). We evaluated the comprehensibility of the signing avatar, as compared to the human signer. We found that, while individual signs are recognized correctly when signed by the avatar almost as frequently as when signed by a human, sentence comprehension rates and clarity scores for the avatar are substantially lower than for the human signer. We identify a number of concrete limitations of the JASigning avatar engine that underlies our system. Namely, the engine currently does not offer sufficient control over mouth shapes, the relative speed and intensity of signs in a sentence (prosody), and transitions between signs. These limitations need to be overcome in future work for the engine to become usable in practice.
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