Science 2.0: Supporting a Doctoral Community of Practice in Technology Enhanced Learning using Social Software

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Despite their high ecological value, non-perennial streams have received less attention than their perennial counterparts. This doctoral thesis addresses this disparity by advancing knowledge on the dynamics of the drainage density and hydrologic processes ...

Decentralized storage networks offer services with intriguing possibilities to reduce inequalities in an extremely centralized market. Fair distribution of rewards, however, is still a persistent problem in the current generation of decentralized applicati ...

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

We study an energy market composed of producers who compete to supply energy to different markets and want to maximize their profits. The energy market is modeled by a graph representing a constrained power network where nodes represent the markets and lin ...

Artificial Neural Networks (ANN) are habitually trained via the back-propagation (BP) algorithm. This approach has been extremely successful: Current models like GPT-3 have O(10 11 ) parameters, are trained on O(10 11 ) words and produce awe-inspiring resu ...

Incidents where water networks are contaminated with microorganisms or pollutants can result in a large number of infected or ill persons, and it is therefore important to quickly detect, localize and estimate the spread and source of the contamination. In ...

We are used to defining network neutrality as absence of traffic differentiation, like policing or shaping. These mechanisms, however, are often not what determines end-users’ quality of experience (QoE). Most content today is accessed through edge caches, ...

Headwater streams often experience intermittent flow. Consequently, the flowing drainage network expands and contracts and the flowing drainage density (DD) varies over time. Monitoring the DD dynamics is essential to understand the processes controlling i ...

Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, the current methodological approaches to study human movement are still limited to the evaluation of the synergies among a few body ...

Signalized intersections are a fundamental part of urban networks. Their understanding is crucial to identify congestion patterns, queues, delays, and safety issues in local and network level. In this work, we analyze multimodal vehicle trajectories and pr ...

Recent developments in network neuroscience have highlighted the importance of developing techniques for analysing and modelling brain networks. A particularly powerful approach for studying complex neural systems is to formulate generative models that use ...

Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line w ...

Gas shale swelling during hydraulic stimulation is one of the major challenges in unconventional gas development. It is hypothesized that the large volumetric strain upon water imbibition is a consequence of dramatic changes in capillary pressure and disjo ...

Internet ranking algorithms play a crucial role in information technologies and numerical analysis due to their efficiency in high dimensions and wide range of possible applications, including scientometrics and systemic risk in finance (SinkRank, DebtRank ...

Despite numerous applications of physically-based models for incised landscapes, their applicability for overland flow on unchanneled surfaces is not known. This work challenges a widely used landscape evolution model for the case of non-uniform rainfall a ...

The present doctoral work was performed to contribute to the conceptual design development and safety assessment of a Generation IV Sodium Fast Reactor (SFR) in the frame of the European Sodium Fast Reactor Safety Measures Assessment and Research Tools (ES ...

Goods can exhibit positive externalities impacting decisions of customers in social networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider t ...

The present doctoral thesis aimed to achieve a robust cultivation of microalgae by recycling nitrogen from a liquid digestate. However, the use of non-sterile nutrient source increases the risks of contamination of undesired organisms such as bacteria, vir ...

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

Science 2.0: Supporting a Doctoral Community of Practice in Technology Enhanced Learning using Social Software

Chattez avec Graph Search

Spatiotemporal Dynamics of Flow and Hydrochemistry in Drainage Networks

Altruism, reciprocity, and tokens to reward forwarding data: Is that fair?

Global, Passive Detection of Connection Tampering

Equilibria in Network Constrained Energy Markets

Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment

Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information

Caching and Neutrality

Short-term dynamics of drainage density based on a combination of channel flow state surveys and water level measurements

The kinectome: A comprehensive kinematic map of human motion in health and disease

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Investigating cognitive ability using action-based models of structural brain networks

Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

Swelling and shrinkage of partially saturated gas shales: from laboratory tests to an effective stress framework

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

Applicability of the landscape evolution model in the absence of rills

Advanced methodologies for modeling and assessment of SFR safety functions

Maintenance scheduling of manufacturing systems based on optimal price of the network

Robust and sustainable cultivation of microalgae: recycling of nitrogen from liquid digestate and control of biological contamination

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs