Publications by authors named "L Reisch"
We argue for systematically integrating behavioral sciences and urban planning to develop a joint agenda for research and planning practice. By viewing urban form as a critical choice architecture for making people’s choices more climate-friendly, this approach may unlock new pathways for higher liveability of cities.
View Article and Find Full Text PDFGreenhouse gas emissions from the food system constitute about one-third of the global total, hence mitigation in this sphere of human activity is a vital goal for research and policy. This study empirically tests the effectiveness of different interventions to reduce the carbon footprint of food choices made on food-delivery apps, using an incentive-compatible online randomized controlled trial with 4,008 participants. The experiment utilized an interactive web platform that mimics popular online food-delivery platforms (such as Just Eat) and included three treatment conditions: a sign-posted meat tax, a carbon-footprint label, and a choice-architecture intervention that changed the order of the menu so that the lowest carbon-impact restaurants and dishes were presented first.
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- Deep learning enhances computer-aided diagnosis systems by utilizing pathologists' viewing patterns through generated heatmaps, guiding training without needing individual case annotations.
- The proposed model, a U-Net with a pre-trained ResNet-18 encoder, significantly outperforms traditional methods in detecting areas of interest in melanoma diagnosis, achieving higher precision, recall, F1-score, and Intersection over Union.
- Clinical evaluations by dermatopathologists confirm the model's effectiveness in mimicking diagnostic behavior and accurately pinpointing critical regions, demonstrating that heatmaps can improve diagnostic accuracy, streamline annotations, and support training for new pathologists.
Introduction: Recommender systems, digital tools providing recommendations, and digital nudges increasingly affect our lives. The combination of digital nudges and recommender systems is very attractive for its application in preventing overweight and obesity. However, linking recommender systems with personalised digital nudges has a potential yet to be fully exploited.
View Article and Find Full Text PDFObjective: Perineuronal nets (PNN) are specialized extracellular matrix (ECM) components of the central nervous system, frequently accumulating at the surface of inhibitory GABAergic interneurons. While an altered distribution of PNN has been observed in neurological disorders including Alzheimer's disease, schizophrenia and epilepsy, their anatomical distribution also changes during physiological brain maturation and aging. Such an age-dependent shift was experimentally associated also with hippocampal engram formation during brain maturation.
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