57,706 Works

Executive Summary KOF Economic Forecast, Summer 2019

ETH Zurich KOF Swiss Economic Institute
This is a summary of the 2019 summer forecast for Switzerland, released by the KOF Swiss Economic Institute at ETH Zurich on 13 June 2019, with a forecast horizon up to the end of 2020.

GMO regulations and their interpretation: how EFSA's guidance on risk assessments of GMOs is bound to fail

Angelika Hilbeck, Hartmut Meyer, Brian Wynne & Erik Millstone
We identify the origins, and key characteristics, of the current regulatory framework for genetically modified organisms (GMOs) in the European Union (EU). We focus on the approach of the European Food Safety Authority (EFSA) to assessing GMO risks to public and environmental health. An historical account informs our critical appraisal of the current practices of EFSA’s GMO panel, and helps to explain how and why it fails to satisfy the objectives of the EU’s GMO...

The Pictet-Spengler Reaction Updates Its Habits

Andrea Calcaterra, Laura Mangiardi, Giuliano Delle Monache, Deborah Quaglio, Silvia Balducci, Simone Berardozzi, Antonia Iazzetti, Roberta Franzini, Bruno Botta & Francesca Ghirga
The Pictet-Spengler reaction (P-S) is one of the most direct, efficient, and variable synthetic method for the construction of privileged pharmacophores such as tetrahydro-isoquinolines (THIQs), tetrahydro-β-carbolines (THBCs), and polyheterocyclic frameworks. In the lustro (five-year period) following its centenary birthday, the P-S reaction did not exit the stage but it came up again on limelight with new features. This review focuses on the interesting results achieved in this period (2011–2015), analyzing the versatility of this reaction....

On the Spread of Information Through Graphs

Abdolahad N. Zehmakan

Inference of Progressive Loop Invariants for Array Programs

Nils Becker

On the choice of metric in gradient-based theories of brain function

Simone C. Surace, Jean-Pascal Pfister, Wulfram Gerstner & Johanni Brea
The idea that the brain functions so as to minimize certain costs pervades theoretical neuroscience. Because a cost function by itself does not predict how the brain finds its minima, additional assumptions about the optimization method need to be made to predict the dynamics of physiological quantities. In this context, steepest descent (also called gradient descent) is often suggested as an algorithmic principle of optimization potentially implemented by the brain. In practice, researchers often consider...

Brain, gaze behavior and perceptual-cognitive skills in aviation: what is yet to be studied?

Stephanie Brams, Gal Ziv, Oron Levin, Johan Wagemans, A. Mark Williams & Werner F. Helsen
Eye-Tracking in Aviation. Proceedings of the 1st International Workshop (ETAVI 2020)

A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline findings

Stella M. Hartinger, Nestor Nuño, Jan Hattendorf, Hector Verastegui, Walter Karlen, Mariela Ortiz & Daniel Mäusezahl
BACKGROUND Exposure to unhealthy environments and inadequate child stimulation are main risk factors that affect children's health and wellbeing in low- and middle-income countries. Interventions that simultaneously address several risk factors at the household level have great potential to reduce these negative effects. We present the design and baseline findings of a cluster-randomised controlled trial to evaluate the impact of an integrated home-environmental intervention package and an early child development programme to improve diarrhoea, acute...

Eye-tracking in aviation: a new method for detecting learned visual scan patterns of cockpit instrument in simulated flight

Stephanie Brams, Rafaël F. Rejtman, Oron Levin, Gal Ziv, Ignace TC Hooge & Werner F. Helsen
Eye-Tracking in Aviation. Proceedings of the 1st International Workshop (ETAVI 2020)

Doctoral Thesis Videos – Figure 3.3 and Figure 5.2 (a)

Hanyu Qin

Investigation of Ultrafast Spin Dynamics by Photoemission

Kevin Bühlmann

Regge limit of gauge theory amplitudes beyond leading power approximation

Alexander Penin
We study the high-energy small-angle Regge limit of the fermion-antifermion scattering in gauge theories and consider the part of the amplitude suppressed by a power of the scattering angle. For abelian gauge group all-order resummation of the double-logarithmic radiative corrections to the leading power-suppressed term is performed. We find that when the logarithm of the scattering angle is comparable to the inverse gauge coupling constant the asymptotic double-logarithmic enhancement overcomes the power suppression, a formally...

Integrating AI into Civil Protection

Kevin Kohler & Benjamin Scharte
Whether by predicting the global spread of the novel coronavirus originating from China or detecting wildfires in California, the use of artificial intelligence in civil protection promises to improve the prevention of, response to, and recovery from disasters. However, getting there requires rethinking data silos and assessing high-risk applications.

Accelerated full-waveform inversion using dynamic mini-batches

Dirk Philip Van Herwaarden, Christian Boehm, Michael Afanasiev, Solvi Thrastarson, Lion Krischer, Jeannot Trampert & Andreas Fichtner
We present an accelerated full-waveform inversion based on dynamic mini-batch optimization, which naturally exploits redundancies in observed data from different sources. The method rests on the selection of quasi-random subsets (mini-batches) of sources, used to approximate the misfit and the gradient of the complete data set. The size of the mini-batch is dynamically controlled by the desired quality of the gradient approximation. Within each mini-batch, redundancy is minimized by selecting sources with the largest angular...

Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks

Yao Yao, Daiqiang Wu, Ye Hong, Dongsheng Chen, Zhaotang Liang, Qingfeng Guan, Xun Liang & Liangyang Dai
The development of geospatial big data makes it possible to study traffic-congestion issues. In particular, floating car data (FCD) is very suitable for it because FCD can help predict traffic-congestion bottlenecks and provide corresponding solutions to address traffic problems. Previous studies have discussed the impacts of rainfall on road speeds, but few studies have focused on the impacts of rainfall on the spatial distribution and changes in traffic-congestion bottlenecks throughout a mega-city. This article proposes...

Neural networks for the joint development of individual payments and claim incurred

Łukasz Delong & Mario V. Wüthrich
The goal of this paper is to develop regression models and postulate distributions which can be used in practice to describe the joint development process of individual claim payments and claim incurred. We apply neural networks to estimate our regression models. As regressors we use the whole claim history of incremental payments and claim incurred, as well as any relevant feature information which is available to describe individual claims and their development characteristics. Our models...

Deep arbitrage-free learning in a generalized HJM framework via arbitrage-regularization

Anastasis Kratsios & Cody Hyndman
A regularization approach to model selection, within a generalized HJM framework, is introduced, which learns the closest arbitrage-free model to a prespecified factor model. This optimization problem is represented as the limit of a one-parameter family of computationally tractable penalized model selection tasks. General theoretical results are derived and then specialized to affine term-structure models where new types of arbitrage-free machine learning models for the forward-rate curve are estimated numerically and compared to classical short-rate...

Age and Provenance Analysis from Micrograms of Artwork Pigments

Stefan Kradolfer, Laura Hendriks, Tiziana Lombardo, Vera Hubert, Markus Küffner, Narayan Khandekar, Irka Hajdas, Bodo Hattendorf, Hans-Arno Synal & Detlef Günther
CHIMIA International Journal for Chemistry, 74 (4)

Bender – An Educational Game for Teaching Agile Hardware Development

Daniel Omidvarkarjan, Jonas Conrad, Constantin Herbst, Christoph Klahn & Mirko Meboldt
Within this paper, an educational game is presented that transfers Agile principles for the development of physical systems. The training leverages elements of Learning Factories (LF) to simulate an Agile hardware development project within two days. By doing so, the challenges of applying Agile within the hardware domain are realistically reflected. The training revolves around a physical wire bending machine, which a development team of four participants needs to modify within a realistic engineering and...

Modeling multiphase flow of H2O–NaCl fluids by combining CSP5.0 with SoWat2.0

Thomas Driesner, Sebastian Geiger & Christoph A Heinrich
Geochimica et Cosmochimica Acta, 70 (18 / Supplement)

All-Order Amplitudes at any Multiplicity in the Multi-Regge Limit

Vittorio Del Duca, S. Druc, James M. Drummond, Claude Duhr, Falko Dulat, Robin Marzucca, Georgios Papathanasiou & Bram Verbeek
We propose an all-loop expression for scattering amplitudes in planar N=4 super Yang-Mills theory in multi-Regge kinematics valid for all multiplicities, all helicity configurations, and arbitrary logarithmic accuracy. Our expression is arrived at from comparing explicit perturbative results with general expectations from the integrable structure of a closely related collinear limit. A crucial ingredient of the analysis is an all-order extension for the central emission vertex that we recently computed at next-to-leading logarithmic accuracy. As...

Establishment of 5′–3′ interactions in mRNA independent of a continuous ribose-phosphate backbone

Florian Kluge, Michael Götze & Elmar Wahle
Functions of eukaryotic mRNAs are characterized by intramolecular interactions between their ends. We have addressed the question whether 5′ and 3′ ends meet by diffusion-controlled encounter “through solution” or by a mechanism involving the RNA backbone. For this purpose, we used a translation system derived from Drosophila embryos that displays two types of 5′–3′ interactions: Cap-dependent translation initiation is stimulated by the poly(A) tail and inhibited by Smaug recognition elements (SREs) in the 3′ UTR....

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