Hoofdstuk 5 in 'Bruggen tussen Wetenschap en Praktijk: LIBER AMICORUM voor Paul Jansen'. Bruggen tussen Wetenschap en Praktijk is het Liber Amicorum voor Paul Jansen, geschreven door zijn oud-promovendi, collegae en academische vrienden. In 13 hoofdstukken reflecteren zij op de belangrijkste thema's uit de academische loopbaan van Paul: loopbanen, diversiteit, performance management, leiderschap, ondernemerschap en assessments. Thema's waarnaar zij samen met Paul onderzoek doen of hebben gedaan en waarmee zij uiteraard een brug hebben geprobeerd te slaan tussen wetenschap en praktijk.
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Both because of the shortcomings of existing risk assessment methodologies, as well as newly available tools to predict hazard and risk with machine learning approaches, there has been an emerging emphasis on probabilistic risk assessment. Increasingly sophisticated AI models can be applied to a plethora of exposure and hazard data to obtain not only predictions for particular endpoints but also to estimate the uncertainty of the risk assessment outcome. This provides the basis for a shift from deterministic to more probabilistic approaches but comes at the cost of an increased complexity of the process as it requires more resources and human expertise. There are still challenges to overcome before a probabilistic paradigm is fully embraced by regulators. Based on an earlier white paper (Maertens et al., 2022), a workshop discussed the prospects, challenges and path forward for implementing such AI-based probabilistic hazard assessment. Moving forward, we will see the transition from categorized into probabilistic and dose-dependent hazard outcomes, the application of internal thresholds of toxicological concern for data-poor substances, the acknowledgement of user-friendly open-source software, a rise in the expertise of toxicologists required to understand and interpret artificial intelligence models, and the honest communication of uncertainty in risk assessment to the public.
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Person-centeredness refers to an individually-tailored, holistic approach to meeting a person's needs and recognizing the client as an expert and active participant in the rehabilitation process. This article focuses on a study conducted in Estonia to analyze the perceptions of persons with disabilities about person-centeredness by exploring their experiences about received disability services and participation in an initial rehabilitation needs assessment process. Twelve in-depth interviews were conducted in different regions of Estonia with persons with disability. Data were analyzed using qualitative thematic analysis. The aim of the research project (2010–2015) was to design a person-centered initial rehabilitation needs assessment instrument. Results revealed that in describing their experiences, study participants identified important components of person-centeredness: (1) understanding service users and meeting their individual needs, (2) connecting and partnering with service users, (3) providing appropriate information, and (4) addressing issues of power and empowerment. If these components are included, service users are more likely to become motivated to consider their situation and take more control of their lives. These findings may be of relevance for countries considering needs-based referrals to rehabilitation services and refocusing disability services using a person-centered approach
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The Center of Nursing Excellence (CNE) in Kazakhstan is developed within the ProInCa project. The CNE focuses on the transfer of research outcomes into nursing practice and the research ideas to the universities for research and educational purposes. It includes mechanisms for collaboration and knowledge sharing within the Centre of Nursing Excellence between the academic national and international nursing community (universities and other educational institutions) and society. These mechanisms involve the creation of an e-platform and formalized national and international networks and working groups.
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In programmatic assessment (PA), an arrangement of different assessment methods is deliberately designed across the entire curriculum, combined and planned to support both robust decision-making and student learning. In health sciences education, evidence about the merits and pitfalls of PA is emerging. Although there is consensus about the theoretical principles of PA, programs make diverse design choices based on these principles to implement PA in practice, fitting their own contexts. We therefore need a better understanding of how the PA principles are implemented across contexts—within and beyond health sciences education. In this study, interviews were conducted with teachers/curriculum designers representing nine different programs in diverse professional domains. Research questions focused on: (1) design choices made, (2) whether these design choices adhere to PA principles, (3) student and teacher experiences in practice, and (4) context-specific differences between the programs. A wide range of design choices were reported, largely adhering to PA principles but differing across cases due to contextual alignment. Design choices reported by almost all programs include a backbone of learning outcomes, data-points connected to this backbone in a longitudinal design allowing uptake of feedback, intermediate reflective meetings, and decision-making based on a multitude of data-points made by a committee and involving multi-stage procedures. Contextual design choices were made aligning the design to the professional domain and practical feasibility. Further research is needed in particular with regard to intermediate-stakes decisions.
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Over the past few years, there has been an explosion of data science as a profession and an academic field. The increasing impact and societal relevance of data science is accompanied by important questions that reflect this development: how can data science become more responsible and accountable while also responding to key challenges such as bias, fairness, and transparency in a rigorous and systematic manner? This Patterns special collection has brought together research and perspective from academia, the public and the private sector, showcasing original research articles and perspectives pertaining to responsible and accountable data science.
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This work draws on the Programme for the International Assessment of Adult Competencies (PIAAC) survey. Last year a first review was conducted on the PIAAC Numeracy Framework (Tout. et al., 2017). In 2018 and 2019 the framework for the second cycle of PIAAC will be developed. This second cycle of the PIAAC survey aims to update the data about the numeracy skills of adults in different countries around the World (Hoogland, Díez-Palomar, Maguire, 2019). The objective of this paper is to highlight some relevant findings from literature on the concept numeracy in order to discuss a potential enrichment of the PIAAC Numeracy Assessment Framework (NAF).
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Most violence risk assessment tools have been validated predominantly in males. In this multicenter study, the Historical, Clinical, Risk Management–20 (HCR-20), Historical, Clinical, Risk Management–20 Version 3 (HCR-20V3), Female Additional Manual (FAM), Short-Term Assessment of Risk and Treatability (START), Structured Assessment of Protective Factors for violence risk (SAPROF), and Psychopathy Checklist–Revised (PCL-R) were coded on file information of 78 female forensic psychiatric patients discharged between 1993 and 2012 with a mean follow-up period of 11.8 years from one of four Dutch forensic psychiatric hospitals. Notable was the high rate of mortality (17.9%) and readmission to psychiatric settings (11.5%) after discharge. Official reconviction data could be retrieved from the Ministry of Justice and Security for 71 women. Twenty-four women (33.8%) were reconvicted after discharge, including 13 for violent offenses (18.3%). Overall, predictive validity was moderate for all types of recidivism, but low for violence. The START Vulnerability scores, HCR-20V3, and FAM showed the highest predictive accuracy for all recidivism. With respect to violent recidivism, only the START Vulnerability scores and the Clinical scale of the HCR-20V3 demonstrated significant predictive accuracy.
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This study evaluates the maximum theoretical exposure to radiofrequency (RF) electromag- netic fields (EMFs) from a Fifth-generation (5G) New Radio (NR) base station (BS) while using four commonly used mobile applications: YouTube for video streaming, WhatsApp for voice calls, Instagram for posting pictures and videos, and running a Video game. Three factors that might affect exposure, i.e., distance of the measurement positions from the BS, measurement time, and induced traffic, were examined. Exposure was assessed through both instantaneous and time-averaged extrapolated field strengths using the Maximum Power Extrapolation (MPE) method. The former was calculated for every measured SS-RSRP (Secondary Synchronization Reference Signal Received Power) power sample obtained with a sampling resolution of 1 second, whereas the latter was obtained using a 1-min moving average applied on the applications’ instantaneous extrapolated field strengths datasets. Regarding distance, two measurement positions (MPs) were selected: MP1 at 56 meters and MP2 at 170 meters. Next, considering the measurement time, all mobile application tests were initially set to run for 30 minutes at both MPs, whereas the video streaming test (YouTube) was run for an additional 150 minutes to investigate the temporal evolution of field strengths. Considering the traffic, throughput data vs. both instantaneous and time-averaged extrapolated field strengths were observed for all four mobile applications. In addition, at MP1, a 30-minute test without a User Equipment (UE) device was conducted to analyze exposure levels in the absence of induced traffic. The findings indicated that the estimated field strengths for mobile applications varied. It was observed that distance and time had a more significant impact than the volume of data traffic generated (throughput). Notably, the exposure levels in all tests were considerably lower than the public exposure thresholds set by the ICNIRP guidelines.INDEX TERMS 5G NR, C-band, human exposure assessment, mobile applications, traffic data, maximum extrapolation method, RF-EMF.
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The HCR-20V3 is a violence risk assessment tool that is widely used in forensic clinical practice for risk management planning. The predictive value of the tool, when used in court for legal decisionmaking, is not yet intensively been studied and questions about legal admissibility may arise. This article aims to provide legal and mental health practitioners with an overview of the strengths and weaknesses of the HCR-20V3 when applied in legal settings. The HCR-20V3 is described and discussed with respect to its psychometric properties for different groups and settings. Issues involving legal admissibility and potential biases when conducting violence risk assessments with the HCR-20V3 are outlined. To explore legal admissibility challenges with respect to the HCR-20V3, we searched case law databases since 2013 from Australia, Canada, Ireland, the Netherlands, New Zealand, the UK, and the USA. In total, we found 546 cases referring to the HCR-20/HCR-20V3. In these cases, the tool was rarely challenged (4.03%), and when challenged, it never resulted in a court decision that the risk assessment was inadmissible. Finally, we provide recommendations for legal practitioners for the cross-examination of risk assessments and recommendations for mental health professionals who conduct risk assessments and report to the court. We conclude with suggestions for future research with the HCR-20V3 to strengthen the evidence base for use of the instrument in legal contexts.
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