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Depressive Symptoms and Cognitions of Foreseeability and Inevitability of Personal Events During the Covid-19 Pandemic
No full textCognitions, such as foreseeability (“I didn’t see it coming”) and inevitability (“It was bound to happen”) can regulate emotions regarding personal events. In previous research, hypothetical negative past events (i.e., with known outcome) were rated as more foreseeable and more inevitable with higher levels of depressive symptoms (Groß et al., 2017). To investigate whether these findings extend to real-life autobiographical events and to imagined future personal events, we conducted an online survey during the initial wave of the Covid-19 pandemic. We assessed depressive symptoms and foreseeability and inevitability cognitions for pandemic-related events that participants had experienced (i.e., past events) and personal events that participants expected to experience (i.e. future events). For future events, depressive symptoms were associated with both affect-regulatory cognitions in alignment with theories of depression. For past events, there were no associations with depressive symptoms
QLL Addendum (2026): Gaia DR3 Wide‑Binary Alignment
No full textThis project archives the January 2026 QLL Addendum, which cross‑validates the Quantum‑Logical Ladder framework against the 2024–2026 Gaia DR3 wide‑binary anomaly results. The analysis confirms a 95% predictive accuracy in the low‑acceleration regime and provides the observational bridge between the QLL Master Equation and recent stellar‑scale gravitational deviations.
The Addendum was assigned a DOI during Zenodo intake (10.5281/zenodo.18253458) but was not released publicly. This OSF project serves as the authoritative public version and links to the main QLL Master Archive for continuity across the research series.
AI RESTRICTION NOTICE: This component is excluded from TDM under Art. 4(3) Directive (EU) 2019/790. See project Wiki for full terms
Measuring entrepreneurial competences
No full textThis study aims to develop a robust survey instrument for measuring entrepreneurial competences, grounded in the EntreComp framework. Data will be collected through university incubators across Denmark, providing access to a relevant population of aspiring and early-stage entrepreneurs. The study is designed as a longitudinal investigation, with participants completing the survey at six-month intervals.
In the initial phases, the project will employ exploratory factor analysis (EFA) in the first step to validate the underlying competence dimensions.
The ultimate goal is to create a theoretically grounded and empirically validated tool that can be used in both research and practice to assess entrepreneurial competences and track their development across different stages of the entrepreneurial journey. This will require further rounds of validation resulting in multiple pre-reg for this study
Enhancing Inclusive Education through Ghanaian Sign Language (GhSL), Artificial Intelligence, and Creative Learning for the Deaf in Ghana
No full textDeaf and hard-of-hearing students in Ghana face major barriers to inclusive and quality education despite national and international commitments such as Ghana’s Inclusive Education Policy (2015) and the UN Convention on the Rights of Persons with Disabilities (CRPD). The lack of Ghanaian Sign Language (GhSL) in the national curriculum, inadequate teacher training, and limited technological resources have excluded many of the estimated 110,000 deaf individuals from equitable learning and participation. This three-year project (2026–2028) seeks to transform inclusive education in Ghana by integrating GhSL into the national curriculum, building teacher capacity, and promoting access to science, technology, and creative learning for deaf students. The goal is to enhance educational equity and participation through innovation, capacity building, and policy integration, aligning with Ghana’s Inclusive Education Policy and Sustainable Development Goal 4. The project’s key objectives are to integrate GhSL into the national curriculum and advocate for its recognition as a national language, develop an AI-powered GhSL translation tool for schools and public use, train and certify 200 teachers in inclusive pedagogy and GhSL proficiency, expand Abacus and STEM competitions to all 17 schools for the Deaf, introduce robotics, art, and sports mentorship programs, and establish local and international exchange programs for deaf students. Implementation will begin at the Demonstration School for the Deaf in Mampong Akuapem and expand to all 17 deaf schools nationwide. The project will directly benefit about 500 deaf students and 200 teachers, with indirect benefits for families, policymakers, and the wider community.The total estimated cost is USD 485,000, allocated as follows: Curriculum Integration & Policy Advocacy (80,000), AI Translation Tool (120,000), Teacher Training & Certification (100,000), Abacus & STEM Competitions (100,000), Robotics, Art & Sports Mentorship (55,000), Exchange Programs (30,000), Monitoring & Evaluation (50,000), and Administration & Overheads (30,000). Over 80% of funds will directly support implementation. By 2028, the project will deliver a nationally adopted GhSL curriculum, an operational AI translation tool, 200 certified inclusive teachers, and active Abacus, STEM, and mentorship programs in all schools for the Deaf. These outcomes will establish a sustainable foundation for inclusive, equitable, and technology-driven education for deaf learners across Ghana
Proactive Interference in Complex Span and Brown-Peterson
No full textData and analysis scripts for 8 experiments investigating (release from) proactive interference in complex span and Brown-Peterson tests with verbal materials
Macroeconomic and Institutional Determinants of Green Investment: Stratified Evidence from Developed and Developing Economies
No full textGreen investment (GI) is a key driver of the global energy transition, yet its macroeconomic and institutional determinants remain insufficiently explored across development levels. Using data for 75 countries from 2016–2022 and a dynamic system GMM framework, this study examines how institutional quality and macroeconomic factors shape GI. The results reveal three patterns: GI is strongly path-dependent across income groups; fiscal capacity and energy efficiency consistently support renewable expansion; and institutional effects vary by development tier. While advanced economies benefit from regulatory credibility and broad governance capacity, political stability and accountability can constrain clean investment in lower-income settings. These findings highlight that institutional and macroeconomic drivers are stratified rather than uniform, making pooled models misleading. Policy implications stress the need for credible regulation and efficiency improvements in advanced economies, and transparent, bankable frameworks with targeted fiscal support in developing economies
Semantic understanding underlies enhanced working memory for real-world objects
No full textWhat constrains working memory capacity? Classic theories place visual working memory close to perceptual systems, with fixed limits. Yet, emerging evidence shows that visual working memory capacity is increased for real-world objects compared to simple or abstract stimuli. The present study demonstrates that this memory advantage arises from semantic understanding of real-world objects – contrary to classic perceptual accounts of this cognitive system. Using counterfeit objects generated by generative adversarial networks that match real objects in terms of object form and visual similarity, we show that improvements in behavioral performance and increases in neural delay activity emerge solely for semantically meaningful, real objects. Correlation analyses indicate that subjective familiarity ratings predict memory for real objects, whereas stimulus colourfulness predicts memory for artificial objects, suggesting distinct mechanisms support memory for different stimulus types. Thus, conceptual knowledge exerts strong effects on visual working memory, significantly extending current theories that emphasize low-level perceptual features
A Systematic Review of Cutaneous Involvement in Metastatic Bone Sarcomas: Insights from 102 Reported Cases
No full textThis systematic review examines cutaneous metastases from primary bone sarcomas (osteosarcoma, chondrosarcoma, Ewing's sarcoma, and chordoma). Cutaneous involvement in these tumors is exceedingly rare and poorly characterized in the literature, often leading to diagnostic delays due to atypical clinical presentations.
The primary objective is to synthesize all reported cases to describe histology-specific patterns in clinical presentation (lesion morphology, distribution, spatial/temporal relationship to other metastases, etc.), latency from primary diagnosis, association with prior local treatment, and prognostic implications.
Data extraction includes patient demographics, primary tumor site, cutaneous lesion characteristics (site, solitary/multiple, morphology), latency periods, synchronous metastases, treatment of skin lesions, and clinical outcome (dead of disease, alive with disease, no evidence of disease).
Expected outcomes include identification of distinct metastatic behaviors across histologies, such as in lesion characteristics, latency, distribution, outcome.
The review aims to provide clinicians with greater awareness of this rare entity and highlight areas for future research