Contact networks across ages: computational analysis of epidemiological dynamics

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We review the work that has been conducted in the past years to understand when and why significant epidemics may arise even though a disease is not bound to become endemic in the long run i.e. subthreshold outbreaks. In particular, we describe the methods ...

School-based interventions during epidemics are often controversial, as experienced during the COVID-19 pandemic, where reducing transmission had to be weighed against the adverse effects on young children. However, it remains unclear how the broader epide ...

Training data mixtures greatly impact the generalization performance of large language models. Existing domain reweighting methods often rely on costly weight computations and require retraining when new data is introduced. To this end, we introduce a flex ...

This thesis focuses on understanding and improving the reasoning capabilities of neural networks. It develops theoretical results and empirical analyses to uncover reasoning potential and limitations, leveraging these insights to guide the design of improv ...

Low-light photography produces images with low signal-to-noise ratios due to limited photons. In such conditions, common approximations like the Gaussian noise model fall short, and many denoising techniques fail to remove noise effectively. Although deep- ...

Avoiding harm is an uncontroversial aim of personalized medicine and other epidemiologic initiatives. However, the precise mathematical translation of "harm"is disputable. Here, we use a formal causal language to study common, but distinct, definitions of ...

Recent progress in computer vision has been driven by a simple yet transformative observation: the potential of 30-year-old neural networks can be unlocked by massively scaling their parameters and the amount of human-labeled training data. This breakthrou ...

Proteins are the molecular machines of life, driving essential biological processes such as enzymatic catalysis, cellular signaling, and immune responses. The ability to design entirely new proteins with desired structures and functions has immense implica ...

Data augmentation is vital in deep learning for enhancing model robustness by artificially expanding training datasets. However, advanced methods like CutMix blend images and assign labels based on pixel ratios, often introducing label noise by neglecting ...

In a context of escalating public health challenges, including the rise of chronic diseases, the impact of climate change, and the COVID-19 pandemic, certain populations bear a disproportionate burden. As a result, there is an urgent need to develop public ...

Numerous conductor designs for pulsed magnets based on High Temperature Superconductors (HTS), featuring stacks of tapes are currently being proposed. A major contribution to the AC losses is expected to be given by hysteresis losses. Several numerical mod ...

Disclosed herein are peptide-grafted compounds that irreversibly deactivate bacteriophages or influenza virus depending on the peptide and remain safe for bacteria and mammalian cells. The active compounds comprise a core (cyclodextrin or gold nanoparticle ...

Despite the widespread use of self-tracking technologies for promoting personal wellbeing, there is limited research on the monitoring of intimate data, particularly urine. To shed light on the design possibilities within this unexplored domain we designed ...

This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “3D printing of customizable transient bioelectronics and sensors”. This work aims to study and demonstrate ...

Genome-wide chromatin conformation capture assays provide formidable insights into the spatial organization of genomes. However, due to the complexity of the data structure, their integration in multi-omics workflows remains challenging. We present data st ...

As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...

Dataset corresponding to the following manuscript: Slagter, A., Setyadji, J.A., Vogt, E.L. et al. Nanoindentation Hardness and Modulus of Al2O3–SiO2–CaO and MnO–SiO2–FeO Inclusions in Iron. Metall Mater Trans A (2024). https://doi.org/10.1007/s11661-024-0 ...

Masonry aggregates, which emerged as layouts of cities and villages became denser, make up historical centres all over the world. In these aggregates, neighbouring structures may share structural walls that are joined at the interfaces by mortar or interlo ...

Wearable and implantable medical devices are of great importance in diagnosis and treatment as they provide continuous monitoring and data collection. Considering the comfort of the patient and ease-of-operation, these devices require wireless data transmi ...

Influenza is an infectious respiratory illness caused by influenza viruses. Every year, it causes up to one billion cases of disease worldwide. Despite its high disease burden, the transmission pathway of influenza remains subject to debate. There is incre ...

Contact networks across ages: computational analysis of epidemiological dynamics

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Epidemicity conditions in spatial models of infectious diseases

Evolving Infectious Disease Dynamics Shape School-based Intervention Effectiveness

CHAMELEON: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Learning to Reason with Neural Networks: Principles and Methods

Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising

Perspectives on "harm" in personalized medicine

Exploiting Representation Similarities in Self-Supervised Learning for Vision Tasks

Computational design of complex protein folds and soluble analogs of membrane proteins

SaliencyMix plus : Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation

The role of spatial epidemiology to support public health policies : case studies applied to health promotion, noncommunicable and infectious diseases in the canton of Vaud, Switzerland

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

Virucidal compounds and use thereof

Designing for Intimate Wellbeing: Aidee, a Qualitative Approach To Urine Home Monitoring

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Orchestrating chromosome conformation capture analysis with Bioconductor

Extensions of Peer Prediction Incentive Mechanisms

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Seismic Testing of Adjacent Interacting Masonry Structures – Analysis of a Blind Prediction

An area efficient inductorless super-regenerative receiver front-end for biomedical implant devices

Inactivation of influenza A virus in expiratory droplets and aerosol particles and the associated physicochemical drivers