Early detection, warnings, weak signals and seeds of change: A turbulent domain of futures studies

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Technology supporting meditation is a multimillion-dollar market that continues to grow. There is also strong academic interest to understand and improve the impact technology can have for the user experience of practitioners. However, little work investig ...

We develop techniques to study the phase transition for planar Gaussian percolation models that are not (necessarily) positively correlated. These models lack the property of positive associations (also known as the 'FKG inequality'), and hence many classi ...

The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/d ...

Artificial Intelligence often relies on information obtained from others through crowdsourcing, federated learning, or data markets. It is crucial to ensure that this data is accurate. Over the past 20 years, a variety of incentive mechanisms have been dev ...

Aerial robot swarms have the potential to perform time-critical and dangerous tasks such as disaster response without compromising human safety. However, their reliance on external infrastructure such as global positioning for localization and wireless net ...

Ethynylbenziodoxolones (EBXs) have recently emerged as potent reagents for the alkynylation of radicals. Their combination with photocatalysis allows the synthesis of valuable alkynes at room temperature. Herein, we discuss two photomediated strategies for ...

Since the birth of Information Theory, researchers have defined and exploited various information measures, as well as endowed them with operational meanings. Some were born as a "solution to a problem", like Shannon's Entropy and Mutual Information. Other ...

Machine learning frameworks based on correlations of interatomic positions begin with a discretized description of the density of other atoms in the neighborhood of each atom in the system. Symmetry considerations support the use of spherical harmonics to ...

The ab initio determination of electronic excited state (ES) properties is the cornerstone of theoretical photochemistry. Yet, traditional ES methods become impractical when applied to fairly large molecules, or when used on thousands of systems. Machine l ...

We provide an introduction to Gaussian process regression (GPR) machinelearning methods in computational materials science and chemistry. The focus of the present review is on the regression of atomistic properties: in particular, on the construction of in ...

We formulate a conjecture characterizing smooth projective varieties in positive characteristic whose Frobenius morphism can be lifted modulo p(2)-we expect that such varieties, after a finite stale cover, admit a toric fibration over an ordinary abelian v ...

The ubiquitous implementation of 5G networks and the Internet of Things (IoT), brings about the importance of indoor localization. Even though Global Positioning System (GPS) provides an efficient outdoor Positioning System (PS), indoor positioning techniq ...

The input of almost every machine learning algorithm targeting the properties of matter at the atomic scale involves a transformation of the list of Cartesian atomic coordinates into a more symmetric representation. Many of the most popular representations ...

Classical Serre-Tate theory describes deformations of ordinary abelian varieties. It implies that every such variety has a canonical lift to characteristic zero and equips the base of its universal deformation with a Frobenius lifting and canonical multipl ...

This paper has been written as a response to 'Six additional questions about smart specialization: implications for regional innovation policy 4.0' by M. Benner. The paper starts with the argument that recent academic work has enabled considerable progress ...

The aerosol size distribution was measured with a custom made scanning mobility particle sizer (SMPS), range 18⁠ – ⁠660 nm. Aerosols are important for a variety of reasons, one of the most prominent is that a sub-set of the aerosol population can act as cl ...

Whether in factory or household scenarios, rhythmic movements play a crucial role in many daily-life tasks. In this paper we propose a Fourier movement primitive (FMP) representation to learn such type of skills from human demonstrations. Our approach take ...

Understanding lake dynamics is crucial to provide scientifically credible information for ecosystem management. In this context, three-dimensional hydrodynamic models are a key information source to assess critical but often subtle changes in lake dynamics ...

A fundamental question of eukaryotic cell biology is how membrane organelles are organised and interact with each other. Cell biologists address these questions by characterising the structural features of membrane compartments and the mechanisms that coor ...

The architectural production of Angola between 1961 and 1975 forms the basis of the current study. Taking into consideration that buildings' environmental performance is, at one time, one of the most central aspects of the Modern Movement legacy and a pres ...

Early detection, warnings, weak signals and seeds of change: A turbulent domain of futures studies

Chattez avec Graph Search

Adapting Haptic Feedback for Guided Meditation

THE PHASE TRANSITION FOR PLANAR GAUSSIAN PERCOLATION MODELS WITHOUT FKG

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Game-theoretic Mechanisms for Eliciting Accurate Information

Vision-based Flocking in Aerial Robot Swarms

Radical Alkynylations with EthynylBenziodoXolones: From Photocatalysis to Direct Excitation

A Functional Perspective on Information Measures

A smooth basis for atomistic machine learning

Learning the Exciton Properties of Azo-dyes

Gaussian Process Regression for Materials and Molecules

Global Frobenius liftability I

Bluetooth Low Energy Direction Finding Principle

Optimal radial basis for density-based atomic representations

Serre-Tate theory for Calabi-Yau varieties

Six additional replies - one more chorus of the S3 ballad

Size distribution of interstitial and total particles between 18 and 660 nm collected during the Arctic Ocean 2018 expedition

Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations

An automated calibration framework and open source tools for 3D lake hydrodynamic models

Mammalian membrane trafficking as seen through the lens of bacterial toxins

Modern Schools in Angola, 1961-1975: Design with Climate and Heritage