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Now is an exciting time for the domain of Earth observation (EO), with a multitude of diverse sensors looking at the planet from satellites, airplanes or drones. The volume of imagery acquired is massive, and hold great potential for a variety of applicati ...

Modern particle physics experiments usually rely on highly complex and large-scale spectrometer devices. In high energy physics experiments, visualization helps detector design, data quality monitoring, offline data processing, and has great potential for ...

Modern research often involves the collection or analysis of data and the use of specialized computer algorithms. Traditional text articles thus provide only partial documentation of a research study. Readers have limited ability to reproduce or utilize wo ...

Policymaking is a complex process that has been studied using policy process theories almost exclusively. These theories have been built using a large number of qualitative cases. Such methods are useful for theory building but remain limited for theory ex ...

Wannier90 is an open-source computer program for calculating maximally-localised Wannier functions (MLWFs) from a set of Bloch states. It is interfaced to many widely used electronic-structure codes thanks to its independence from the basis sets representi ...

The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25 years. In this review, we dwell on the various challenges along the journey of bringing a biophysical model from initial design to clinical implementation, identifyi ...

We argue that frequent sampling of the fraction ofa priorinon-symptomatic but infectious humans (either by random or cohort testing) significantly improves the management of the COVID-19 pandemic, when compared to intervention strategies relying on data fr ...

In the last decade, Ultra High Performance Fibre Reinforced cement-based Composites (UHPFRC) have been increasingly implemented for rehabilitation and strengthening purposes, rendering outstanding results. The ease of application, along with their superior ...

Masonry buildings form building aggregates around the world in historical centers, which developed as the layout of the city or village densified. In these aggregates, adjacent buildings can share structural walls, connected at the interfaces by interlocki ...

Mobility impairments are the most prevalent of all disabilities, affecting the life of nearly one in 20 individuals in developed countries. In the most severe cases, they can have dramatic consequences for the social, mental and physical well-being of thos ...

In this thesis we address various factors that contribute both theoretically and practically to mitigating supply demand mismatches. The thesis is composed of three chapters, where each chapter is an independent scientific paper. In the first paper, we dev ...

Diabetes is a global epidemic with millions of people dying from it every year. Progress in microelectronics and machine learning has led to a huge number of FDA approvals of devices for continuous monitoring and treatment of diabetes with one product usin ...

Supplementary files containing datasets needed to reproduce the results of the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" by S. Choudhury et al (https://doi.org/10.1101/2023. ...

The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consuming, and expensive, with no assurance of an adequate response rate. In this ...

In 2017 a new pixel detector was installed in the CMS detector. This so-called Phase-1 pixel detector features four barrel layers in the central region and three disks per end in the forward regions. The upgraded pixel detector requires an upgraded data ac ...

In this paper a hybrid framework is illustrated, with a software and hardware integration strategy, for an industrial platform that exploits features from a Relational Database (RDB) and Triplestore using the blackboard architectural pattern, ensuring effi ...

The plastic deformation of small-scale face-centered cubic metals exhibits intermittent slip burst events that appear on stress-strain curves as sudden strain jumps and/or load drops. These events are generally attributed to the avalanche-like cooperative ...

In this paper, we present kogito, an open-source tool for generating commonsense inferences about situations described in text. kogito provides an intuitive and extensible interface to interact with natural language generation models that can be used for h ...

The present data paper describes an experimental campaign on five thin T-shaped reinforced concrete walls, including: details on the test units, materials, test setup, loading protocol, instrumentation, main features of each unit's response, organization o ...

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

Agile text mining with Sherlok

Chat with Graph Search

Interact with Earth Observation Images using AI: Transparent Methods and Evaluation for Visual Question Answering

Visualization for physics analysis improvement and applications in BESIII

Sharing data and code facilitates reproducible and impactful research

Exploring policy change through agent-based simulation

Wannier90 as a community code: new features and applications

Challenges for biophysical modeling of microstructure

Testing of asymptomatic individuals for fast feedback-control of COVID-19 pandemic

Towards the use of UHPFRC in railway bridges: the rehabilitation of Buna Bridge

Seismic Testing of Adjacent Interacting Masonry Structures

Lean synthesis and application to lower-limb exoskeletons

Optimizing Sales Forecasting, Inventory, Pricing and Sourcing Decisions

Optical microsystems for genetically engineered biosensors. Case study: Glucose monitoring

Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 3

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

The DAQ and control system for the CMS Phase-1 pixel detector upgrade

A hybrid framework for industrial data storage and exploitation

On the slip burst amplitude cutoff in dislocation-rich microcrystals

kogito: A Commonsense Knowledge Inference Toolkit

Tests on Thin Reinforced Concrete Walls Subjected to In-plane and Out-of-plane Cyclic Loading

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?