Heidelberg University

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    727 research outputs found

    Astronomische Grundlagen für den Kalender 2027 [Datensatz]

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    Die Astronomischen Grundlagen für den Kalender werden vom Astronomischen Rechen-Institut in Heidelberg berechnet und herausgegeben. Sie haben den Zweck, den Kalenderverlagen das Material für die Herstellung ihrer Kalender bereitzu- stellen. Eine gesetzliche Gewähr kann nicht Übernommen werden. Das Buch kann weiterhin auch als Printversion erworben werden, es kann per Email an [email protected] oder im Buchhandel bestellt werden. Für die Rechnungen zu Sonne, Mond und Planeten wurden Routinen der SPICE Software vom Jet Propulsion Laboratory (JPL) und der SpiceyPy Software verwendet, unter Einsatz der DE430 Ephemeride

    User preferences and trust in hypothetical analog, digitalized and AI-based medical consultation scenarios: An online discrete choice survey [data]

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    Background: Current developments in telemedicine and artificial intelligence (AI) are significantly impacting doctor-patient interactions. This study examined the interacting role of individual traits with different levels of digitalization in participants' user preferences and trust within hypothetical medical scenarios. Specifically, preferences and trust levels towards various digitalized and analog formats, such as face to face interactions, video calls, written exchanges with a doctor or chatbot, or conversations with AI avatars were compared using standard scenarios of varying health risk and potentially embarrassing content. Methods: In an online discrete choice experiment, 1,009 participants rated hypothetical scenarios of varying medical concerns regarding their preferred conversation format and trust. Two multilevel models were used to predict user preference (n = 2,018 observations) and trust (n = 9,880 observations). Results: Higher perceived efficiency of digital conversation formats predicted user preference for digitalized formats. However, users’ preference for digitalized formats was generally lower compared to face to face interactions, especially when receiving bad news. The level of digitalization was negatively associated with trust, which was lower for consultations that involved receiving bad news or discussing potentially embarrassing content compared to good news. Trust ratings varied depending on the conversation topic. Discussion: When comparing analog and digitalized medical consultation scenarios, digitalized medical consultations are not equally suited for every medical consultation. Participants preferred personal contact, particularly when bad news needed to be communicated. Additionally, trust in the doctor significantly varies depending on the topic of conversation

    Ergänzungsdaten zu: Ein Rätsel gelöst? Neue Siedlungsfunde aus der Eisenzeit, Römischen Kaiserzeit und Frühalamannenzeit in den ‚Ambelwiesen‘ von Eschelbronn (Rhein-Neckar-Kreis). Fundberichte aus Baden-Württemberg 42, 2023/2024

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    Digitales Modell der ausgegrabenen Reste eines römischen Kalkbrennofens am Randbereich des antiken Siedlungsareals von Eschelbronn (Rhein-Neckar-Kreis). Erkennbar ist die runde Brennkammer, der Feuerungskanal und die davor liegende Bediengrube. Der Ofen wurde wohl im 2. Jahrhundert n. Chr. errichtet und spätestens Anfang des 3. Jahrhunderts aufgegeben. Während der nachfolgenden frühalamannenzeitlichen Besiedlungsperiode wurde der Ofen samt Bediengrube im 4. Jahrhundert mit Siedlungsmüll, ungebrannten Kalksteinen sowie umliegendem Erdmaterial wieder zugeschüttet

    Orientation-Driven Chirality Funnels in Chiral Low-Dimensional Lead-Halide Perovskite Heterostructures [data]

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    Chiral hybrid metal-halide perovskites show low-symmetry crystal structures, large Rashba splitting, spin-filtering, and strong chiroptical activity. Circular dichroism and circularly polarized photoluminescence have been investigated in chiral perovskites with increasingly distorted chiral structures. Here, we report the fabrication of chiral (R/S)-EAPbI3 (EA = α-ethylbenzylamin) single crystals, which possess highly distorted octahedral structures with a high angle variance value of ~68 degree2. Using control in the fabrication conditions, we transfer chiral single crystals to thin films and achieve different crystal orientation preferences that induce tuneable chiroptical properties to their heterostructures with PbI2 nanodomains, which we characterize with in-situ X-ray diffraction and grazing-incidence wide-angle X-ray scattering measurements. Using transient chiroptical spectroscopies, we resolve photoexcited charge carrier dynamics and chirality transfer processes in such heterostructures down to cryogenic temperatures. We observe rapid carrier transfer along the in-plane (002) facets in chiral perovskite phases to PbI2 nanostructures within the initial few picoseconds, while carrier transfer along the out-of-plane (002) facets occurs at a slower rate. This fast transfer process leads to high photoluminescence intensities and large degrees of circular polarization in the emission from PbI2 nanodomains at cryogenic temperatures. Our findings report a multi-dimensional chiral-achiral heterostructure which takes advantage of controllable chirality transfer and offers new routes for future spintronic and chiroptical applications

    Robust and Expert-Level Automated Screw Planning in the Entire Spine Based on Deep-Learning [data]

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    Manual screw planning for spinal stabilization is a time-consuming process, interrupting the surgical workflow and prolonging operating time. Existing automated solutions focus on the lumbosacral region due to reliance on vertebral homogeneity. We introduce a deep-learning-based method reformulating screw planning as an image segmentation task, enabling automated generation of trajectories for all spinal levels and different screw types. Trained on over 450 real surgical cases, our approach achieved a 97% clinical acceptability rate on a representative testset, with a mean absolute deviation from manual planning of 2.6mm, which lies within inter- and intra-rater variability, demonstrating expert-level performance. Extensive evaluation on deformity cases and external data confirmed robust generalization across institutions, scanners, and pathologies. Importantly, this is the first automated solution for cervical lateral mass screw planning. Our method promises to streamline surgical workflows, enhance integration with 3D image navigation systems, and improve the safety and efficiency of spine surgery

    High resolution light-based 3D printing of a bio-sourced monomer with tuneable depolymerisation

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    Light-based 3D printing has historically relied mainly on the photopolymerisation of (meth)acrylate-based inks. However, exploring new chemistries that include heteroatom-containing linkages can increase depolymerisation options and results in more sustainable inks. Bio-based dithiolanes are an emerging class of alternative printable materials. Herein, we present a dithiolane-based ink. Herein, we present a dithiolane-based ink and analyse its printing performance across scales—from macroscale structures fabricated via digital light processing to microscale features achieved through two-photon laser printing. We demonstrate the successful fabrication of complex 3D structures with fine feature resolution, highlighting the material's suitability for microscale applications. Moreover, we incorporate a thermally latent base to enable controlled thermal depolymerisation, which is effective across both printing scales. This work represents the first example of targeted depolymerisation in microprinted structures using an embedded latent base, offering a novel and sustainable (meth)acrylate-free strategy

    Heat is a danger to my health even though I said I am used to it”: Qualitative insights of workplace heat among community health workers and health promoters in Kenya [data]

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    Climate change is one of the most prominent environmental and health challenges of the 21st century. Variations in extreme temperature and weather events intensify occupational heat exposure and place workers at increasing risk of heat-related illness (HRIs) and injury. Healthcare workers, especially those in resource-limited, community-based, or mobile settings, face significant occupational risks from rising temperatures, yet these challenges remain largely overlooked and insufficiently studied. This qualitative study, based on semi-structured face-to-face interviews, explores the experiences of Community Health Workers (CHWs) and Community Health Promoters (CHPs) in Kenya, examining how extreme heat affects their personal health, livelihoods, and the delivery of community-based health services. We conducted 41 in-depth interviews with CHWs and CHPs (Mombasa County, n=19; Tana River County, n=22). Data was managed using NVivo 14 and analysed drawing on tenets of reflexive thematic analysis. We identified a pattern of intersecting vulnerabilities shaped by experiences of economic inequality, work conditions and pressures, HRIs, and challenges of accessing healthcare, effects of changing weather patterns on community health work and livelihoods, and gendered experiences of extreme weather and work challenges. Our findings show that these domains are not discrete but reinforcing, with overlapping effects that not only shape the daily experiences of CHWs and CHPs but also constrain their resilience and the effectiveness of community health service delivery. Our findings highlight the urgent need for climate-resilient health systems that not only improve the working conditions or protect CHWs and CHPs from extreme heat but also address the structural inequalities, such as economic disparities and the challenges of gendered burdens, that heighten their vulnerability

    3D Printed Mechanochromic Materials for Visual Signaling [data]

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    Mechanophores offer a unique approach to visualize stress via color change as a response to mechanical force. Their integration into polymeric materials has opened new pathways for real-time damage sensing and failure detection. When combined with additive manufacturing technologies, particularly high-resolution light-based 3D printing, mechanophore-based systems present great potential for developing functional materials with embedded signaling capabilities. In this work, we present new materials for digital light processing including spiropyran moieties as mechanophores. In particular, a spiropyran equipped with two photopolymerizable groups is synthesized and included into two printable formulations based on the monomers methyl acrylate and acrylic acid. The careful selection of the photoinitiator and crosslinker has enabled the 3D printing of complex 3D geometries, which visually respond to compression and tensile stress. The mechanochromic effect is demonstrated by the compression of a tube and a pad, which respond with a color change towards purple. Irradiation with Vis-light leads to a recovery in color and towards the shape before compression. Employing 3D printed “dog bones” as specimens, mechanochromic behavior is successfully demonstrated in response to tensile stress, initiating a similar change in color. Overall, the presented system shows great promise for creation of functional, high-resolution sensing 4D material

    International Medical Students‘ Improvement in Communication Skills in Psychosomatic Care: A Natural Language Processing Based Analysis [data]

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    In this study, we evaluated international medical students' communication skills in the context of psychosomatic medicine, after attending a three-day training seminar. Using a pre-post-assessment-design, we assessed the development in communication skills using Natural Language Processing (NLP) as well as traditional rating scales. International students significantly improved their communication style towards a more patient-centered approach. This dataverse contains the following data: all the materials used in the training seminar; the binary and global rating instruments used in the ratings; the rating results; international students' demographic data; the transcription rules in German and English, which were followed in the video transcription process; R-Markdowns with the R code used in statistical analysis of NLP parameters and rating data as well as our results. All participants were anonymized

    APIs for text-based digital editions [data]

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    The table in this dataset was created in the context of the workshop “APIs for text-based digital editions” which was organized by Heidelberg University Library and Text+ and took place on September 25, 2025. Based on brief explanations of the API design (endpoints, parameters, functionalities, formats, data types etc.), information on the development (status, version of the specification, documentation, available support channels etc.), and existing ecosystem components (reference implementations, validators, toolkits, etc.), it is intended to provide an overview of the mentioned API specifications and thus serve as an introduction and decision-making aid. The current version includes the following API specifications: Distributed Text Services (DTS) UDT-ITF API SHINE API TextAPI </ul

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