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EDU-UAV photogrammetry current online educational landscape
Get PDFUAV photogrammetry plays an essential role in applications such as disaster management, food security, and mapping due to its adaptability, scalability, and accuracy in data collection. Consequently, the increasing popularity of the UAV photogrammetry domain has led to a growing demand for comprehensive education accessible through academic institutions. Meanwhile, the flexibility and freedom associated with online education have sparked significant demand for online learning programs. Different users actively seek online courses and materials to delve into the intricacies of UAV photogrammetry. However, the abundance of online resources in this area poses challenges in finding such reliable courses.To address this challenge, the ITC team from the UAV centre and EOS Department at the University of Twente investigated the current online education courses related to UAV Photogrammetry offered globally. They compiled an inventory of these courses, categorizing them according to different educational levels- introductory, intermediate, and advanced—to align with the needs of key photogrammetry user categories. The project also investigated the currently available UAV datasets and software packages supporting technical training and professional applications. Further details are available on the project website.Besides, the project gathers insights into gaps in UAV photogrammetry knowledge areas and UAV applications in geoscience by designing, distributing, and analysing a UAV Gap survey
Digital Detection of DNA via Impedimetric Tracking of Probe Nanoparticles
Get PDFCMOS-based nanocapacitor arrays are an emerging technology that permits spatially resolved, high-frequency impedance measurements at the nanoscale. Their capability to detect micro- and nanoscale entities has already been established through nonspecific interactions with the targets. Here, we demonstrate their application in specific macromolecular capture and detection using single-stranded DNA (ssDNA) as a model analyte. While individual ssDNA strands fall below the detection threshold, we employ a strand displacement assay that links DNA hybridization to target ssDNA induced displacement of reporter nanoparticles. This displacement reaction results in distinct electrical signatures with complex spatiotemporal patterns, details that remain unresolved in conventional macroscale impedance spectroscopy techniques due to their limited resolution and signal averaging that obscures localized interactions. The proposed system’s massively parallel architecture and the ability to detect complex dynamics of individual nanoparticle-nanoelectrode interactions make it a promising candidate for scalable, portable, and cost-effective biosensing applications in clinical diagnostics and beyond.</p
Towards inclusive vulnerability mapping:A systematic review of gender integration in vulnerability analyses
No full textGender inequality is a key challenge and major barrier to human and economic development. Further, the integration of gendered data into political and/or decision-making structures is rare. This leaves a significant gap in the ability for interventions to be impactful and sustainable. For example, geospatial assessments at local, national, and regional scales of the vulnerability of populations to disaster risk, and/or climate change impacts typically use publicly available data from surveys, statistics agencies, and Earth observations to create one map. These vulnerability, impacts, and assessment studies have influenced governmental and donor investments in specific areas to protect these identified regions. Traditionally, these measures of vulnerability do not make gender informed or disaggregated conclusions despite a growing body of research documenting that men, women, and other diverse identities face different vulnerabilities to climate change across all sectors. Additionally, failure to disaggregate findings based on sex has been shown to exacerbate inequalities. This study conducts a systematic literature review on the current practices of how gender is incorporated into disaster and climate change vulnerability research in order to develop recommendations for better inclusion in the future. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols 2020 (PRISMA) guidelines. A search strategy was defined to capture studies that involved geospatial vulnerability mapping, gender, and climate change, 61 papers were identified and analyzed for 1) how gender has been operationalized within vulnerability analyses, 2) what were the findings of these analyses, and 3) what gaps and challenges remain.Overall, the majority of studies focus on inherently vulnerable regions, but few comprehensively address gender. Methodologies of the studies varied widely, and validation of the results of any methodology remains a key challenge. Many additional opportunities are identified that work towards capturing the social dynamics that could shape our understanding of a more gender inclusive vulnerability assessment. Future research will apply the lessons learned from this review and develop methodologies for inclusive geospatial vulnerability assessments to inform resilience policies, planning, and implementation
Applying the international rare disease research consortium (IRDiRC) N-of-1 therapy task force eligibility criteria for individualised therapies use case:Duchenne muscular dystrophy
Get PDFThe nucleic acid therapy field is making progress in rare diseases, with multiple regulatory approved therapeutic modalities. As these therapeutic approaches are programmable, they also provide an opportunity for individualized therapy development. Indeed, currently over 30 individuals are being treated with such N-of-1 antisense oligonucleotides. The International Rare Disease Research Consortium (IRDiRC) Task Force of N-of-1 treatments published a roadmap to outline the different steps that are involved, among others, in establishing whether an individual is eligible for N-of-1 treatment development. We have tested these principles, using Duchenne muscular dystrophy as a use case. Our analysis shows that while assessing some eligibility aspects, such as genetic eligibility, is relatively straightforward, assessing other criteria, such as unmet medical need and extrapolation from approved treatments, was more difficult.</p
Correction:Critical sustainability events and perceived roles of academic leaders at a leading university in sustainability: CIT case study (Discover Sustainability, (2025), 6, 1, (468), 10.1007/s43621-025-01185-x)
Get PDFFollowing publication of the original article [1], the authors identified some errors in their article: In the abstract, the explanation for the axis is provided in the reversed order (highlighted below). It should say: “[…]…along two axes: leadership stance (favourable to unfavourable) and leadership behaviour (passive to active) instead of: “along two axes: leadership stance (passive to active) and leadership behaviour (favourable to unfavourable).” Secondly, in section 4.3.2 the numbers 13, and 19 should be in parenthesis (13, 19) and not in square citation brackets [13,19] as they refer to interviewees rather than literature sources. In the abstract, paragraph 3 and 4 have been combined to improve readability. In the abstract, the explanation for the axis is provided in the reversed order (highlighted below). It should say: “[…]…along two axes: leadership stance (favourable to unfavourable) and leadership behaviour (passive to active) instead of: “along two axes: leadership stance (passive to active) and leadership behaviour (favourable to unfavourable).” Secondly, in section 4.3.2 the numbers 13, and 19 should be in parenthesis (13, 19) and not in square citation brackets [13,19] as they refer to interviewees rather than literature sources. In the abstract, paragraph 3 and 4 have been combined to improve readability. The original article [1] has been corrected.</p
Making Statistical Inference Click for Engineering Students
No full textStatistical inference is a foundational yet conceptually challenging topic in undergraduate education, particularly within technical disciplines where students often approach data analysis with a deterministic mindset. Traditional instruction frequently emphasizes procedural fluency over conceptual reasoning, leaving learners with limited understanding of how sample data can inform population-level conclusions. This study explores an alternative instructional approach grounded in a model that emphasizes active, student-centered learning through data generation and real-time visualization. Implemented in an undergraduate statistics course for engineering students, the intervention was designed to make abstract concepts more tangible by engaging students in constructing sampling distributions using their own data. Observations and interviews indicate that this approach fostered meaningful engagement and helped students develop a clearer understanding of key ideas such as variability, distribution shape, and the logic of generalization. Students expressed increased confidence in their comprehension of core concepts, particularly the Central Limit Theorem, though challenges remained in fully grasping the probabilistic reasoning underpinning inference. Peer collaboration and visual feedback were particularly effective in supporting conceptual development, while technical difficulties with data tools revealed the need for targeted scaffolding. Overall, the findings suggest that interactive, context-rich instruction can connect procedural knowledge and conceptual insight, offering a promising direction for teaching statistical inference in applied settings
A scoping review on self-control:insights from cross-domain conceptualizations and implications for forensic psychiatric treatment
Get PDFSelf-control is an important predictor for offending behavior, receiving considerable attention in forensic research and practice. Perspectives from other domains, such as health and social psychology, have demonstrated that self-control is a complex and multidimensional construct. However, this complexity is not yet fully reflected in forensic psychiatry. To explore what forensic psychiatry could learn from other domains, this scoping review examines how self-control is conceptualized across domains and identifies the aspects that constitute it. This information may help expand our knowledge about self-control in forensic psychiatry, for instance, to more comprehensively assess and treat self-control. An electronic database search yielded 16,202 records, of which 59 were included in the review. Definitions of self-control varied, about, for example, what is being controlled and which aspects were mentioned. Nine records did not provide a definition. Furthermore, inductive coding identified 12 aspects of self-control: motivation, cognition, values, goals, emotion, monitoring, external factors, personality, biological factors, dual process approach, initiation/inhibition, and capacity. Five records related to offending behavior, mentioning six of these aspects. Findings support that self-control is a multifaceted and dynamic concept, and that this is not yet fully reflected in forensic research and practice. Future research should explore the relevance of these aspects in forensic practice to enable a more nuanced approach to self-control in forensic risk assessment and treatment.</p
Web Based Cognitive Bias Modification for Alcohol Addiction:From controlled trial to real-world application
Get PDFAlcohol Use Disorder (AUD) is a highly prevalent and debilitating condition with severe health, social and economic consequences. While evidence-based interventions such as Cognitive Behavioural Therapy (CBT) and Motivational Interviewing (MI) are effective outpatient care options that focus on enhancing cognitive control and addressing ambivalence towards alcohol use, they predominantly target conscious cognitive processes. Dual-process models highlight the role of both impulsive and reflective systems in addiction, with approach bias (an automatic tendency to move towards alcohol-related stimuli) being an important factor thought to contribute to maintaining AUD. ApproachBias modification (ApBM) has shown promise in reducing relapse rates in inpatient settings, but its effectiveness in outpatient care, where over 80% of Dutch AUD treatment takes place, remains unclear. Furthermore, most ApBM interventions have relied on computer-based delivery, which limits accessibility.This thesis therefore aimed (1) to evaluate an online ApBM intervention as an adjunct to outpatient treatment as usual for AUD, and (2) to develop and test a mobile ApBM application to increase accessibility.Part 1 – Online ApBM in outpatient treatmentChapter 2 – Protocol for a randomized controlled trialThis chapter outlines the design of a double-blind randomised controlled trial evaluating the addition of online ApBM to TAU for outpatients with AUD. The study compared eight sessions of active ApBM with placebo training over five weeks, assessing alcohol consumption, approach bias and adherence.Chapter 3 - RCT resultsA total of 139 participants were randomised. Both ApBM and placebo groups significantly reduce alcohol consumption over time, achieving safer drinking levels and lower weekly intake, indicating TAU alone is effective. The addition of ApBM did not yield significant added benefit in drinking outcomes. However, ApBM participants showed a significantly greater reduction in alcohol approach bias (d-scores) than placebo partipants, although this effect was nog consistently robust across all multiple-imputation analyses. Adherence was high overall (65% completed ≥ 6 sessions), and hights among those receiving TAU online (85.5% versus 51.2% in face-to-fae TAU). These findings suggest that while online ApBM can reduce approach bias in outpatients, this does not translate into clear incremental benefits for alcohol consumption when combined with TAU.Part 2 – Development and testing of the mobile ApBM app BreindebaasChapter 4 – Feasibility in problem drinkersIn a self-selected sample of 410 problem drinkers, three weeks of mobile ApBM use led to an average reduction of 7.8 standard units of alcohol per week, with an additional 6.2-unit reduction at three-month follow-up. These sustained changes suggest potential for supporting behaviour change outside formal treatment. However, without a control group, causality cannot be established.Chapter 5 – User-centered developmentDevelopment of Breindebaas followed user-centered design principles, incorporating feedback from (ex-)AUD patients, problem drinkers, andaddiction professionals. Key features included a customisable image library, clear explanations of the ApBM mechanism, adjustable reminder settings, and motivational feedback. These elements aimed to improve engagement and personal relevance. While users expressed interest in gamification, such features were excluded at this point to maintain therapeutic focus an avoid resource constraints.Chapter 6 – Feaibility for MID-BIF populationsA personalised version of Breindebaas was tested with individuals with MID-BIF and AUD. The measurement function showed moderate test-retest reliability and stable reaction times. Participants found the app engaging and easy to use, with potential benefits for increasing awareness of drinking behaviour. Concerns included the possibility of craving triggers and specific usability barriers, underscoring the need for further adaptation before broader implementation.Chapter 7 – General discussionOnline ApBM as an add-on to TAU reduced approach bias but did not improve drinking outcomes beyond TAU in outpatient care. The mobile app showed promise for reducing alcohol consumption in non-treatment populations and was well-received by a broad population. Key strengths include the rigorous RCT design, ecological validity in real-world outpatient settings, and the integration of user feedback into mobile app development. Limitations include reliance on self-reported alcohol use and absence of control groups in mobile studies. Implications of practice highlight that ApBM may be most effective as a flexible, scalable tool to complement existing treatments, especially when integratedinto personalised, mobile-based interventions. Future research should focus on optimising delivery formats, exploring mechanisms of bias change, and identifying populations and contexts where ApBM offers the greatest clinical benefit
Visualizing values across stakeholders in inter-organizational innovation multi-project settings:an exemplary case study from the infrastructure sector
No full textEnhancing the shear strength of hybrid titanium-composite joints by out-of-plane protrusions
No full textWith the increasing usage of composite parts in aerospace, automotive and other sectors, there is a growing need for hybrid joining technologies. Innovation is desired in terms of joining methods to join metal and composite constituents. Traditional mechanical fastening methods, e.g. bolting and riveting, involve point contacts resulting in stress concentration, and labour and weight penalties. In this study, 3D-printed titanium is joined to unidirectional carbon fibre-reinforced thermoplastic composite. This type of joint is particularly challenging due to chemical incompatibility and mismatches of thermo-mechanical properties. The hybrid joint is constructed by hot press forming, as the heat and pressure control enable improved mechanical properties. Laser powder bed fusion is used to realize bespoke protrusions in the out-of-plane direction of the titanium faying surface that mechanically interlock with the composite material. Fabricated joints, with and without protrusions, are tensile tested in a single lap shear configuration. Results show that mechanical interlocking gives a 17x improvement compared to protrusion-free joints. The measured ultimate joint shear strength was on average 11.6 MPa. Moreover, this shear strength can be correlated to the feature size of the additively fabricated protrusions. Altogether, this gives valuable engineering insight for the design parameter optimisation of hybrid titanium-composite joints