1167 research outputs found
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AmbiFC: Fact-Checking Ambiguous Claims with Evidence
No full textAutomated fact-checking systems verify claims against evidence to predict their veracity. In real-world scenarios, the retrieved evidence may not unambiguously support or refute the claim and yield conflicting but valid interpretations. Existing fact-checking datasets assume that the models developed with them predict a single veracity label for each claim, thus discouraging the handling of such ambiguity. To address this issue we present AmbiFC,1 a fact-checking dataset with 10k claims derived from real-world information needs. It contains fine-grained evidence annotations of 50k passages from 5k Wikipedia pages. We analyze the disagreements arising from ambiguity when comparing claims against evidence in AmbiFC, observing a strong correlation of annotator disagreement with linguistic phenomena such as underspecification and probabilistic reasoning. We develop models for predicting veracity handling this ambiguity via soft labels, and find that a pipeline that learns the label distribution for sentence-level evidence selection and veracity prediction yields the best performance. We compare models trained on different subsets of AmbiFC and show that models trained on the ambiguous instances perform better when faced with the identified linguistic phenomena
Interplay of vibrational, electronic, and magnetic states in CrSBr
No full textThe dataset includes raw experimental results from temperature-dependent polarization-resolved Raman measurements performed under various excitation energies, as well as photoluminescence excitation spectroscopy data and temperature-dependent differential reflectance contrast measurements
Supporting Videos "Capillary-Wave-Driven Jumping Droplets on Superhydrophobic Colloidal Rafts"
No full textDrop nucleation, growth, coalescence induced jumping and capillary wave driven jumping on superhydrophobic colloidal raf
Hardening Oven IVA RH 655
No full textData sets of the hardening oven IVA RH 655 of the ETA Research Factory.
AFM - Topographic & Mechanical, dry & swollen polymer - Treated data (Images)
No full textThe image integrates:
-the final processed results from simultaneous topographical and mechanical AFM analysis performed on a 20 µm² area of the polymer surface. The image displays the corrected topography obtained through a first-order flattening filter applied in NanoScope Analysis 1.9 software, alongside mechanical properties such as adhesion, dissipation, and Young’s modulus;
-cross-sectional profiles of Young’s modulus and dissipation, extracted from the AFM measurements described above;
- a schematic illustration of the AFM measurement setup
DSC - polymer thermal analysis - Raw and processed data and image
No full textThe .txt files contains the raw differential scanning calorimetry (DSC) data for the P(DMAA-co-MABP) copolymer foil, measured using a DSC 3 system. The experiment was conducted under a nitrogen atmosphere, with a heating rate of 10 °C/min, covering a temperature range from -50 °C to 300 °C. The dataset includes temperature and heat flow values used to identify the glass transition temperature (Tg) of the material.
The Igor file and the image show the processed data
DVS - Polymer film and paper samples - Raw Data and Igor files
No full textThe Excel file contains the raw data from Dynamic Vapor Sorption (DVS) measurements performed on eight samples: two polymer films, three uncoated paper substrates, and three polymer-coated papers. The data was collected using a DVS analyzer at a constant temperature of 25 °C. The relative humidity (RH) was increased and then decreased in 10% increments, ranging from 0% to 90% RH and back to 0% RH.
The Igor Pro file displays the sorption and desorption isotherms obtained from Dynamic Vapor Sorption (DVS) measurements
Ergebnisse der Evaluationsumfragen
No full textDie publizierten Daten zeigen die Rohdaten der Anwendungsevaluation. Sie unterscheiden sich in die Angaben der Probanden zu den in der Ausarbeitung beschriebenen inhaltlichen Anforderungen und den Expertenangaben zu den weiteren Anforderungen
Anwendung Bohrentgraten
No full textAnwendung zur Auslegung und Anwendung eines Bohrentgratwerkzeugs
Diese grafische Benutzeroberfläche ermöglicht die Konfiguration und Anwendung eines speziellen Werkzeugs zum Entgraten von Kreuzbohrungen. Die Anwendung wird als ZIP-Datei bereitgestellt und kann nach dem Entpacken lokal ausgeführt werden. Sie wurde in Python entwickelt und bietet eine vollständig grafische Bedienoberfläche.
Hauptfunktionen:
- Interaktive grafische Benutzeroberfläche zur Werkzeugausslegung und -anwendung
- Unterstützung für die 3D-Darstellung von Bauteilen und Werkzeugpositionen
- Visualisierung der Entgratsituation mittels STL- und Matplotlib-Darstellungen
- Automatische Generierung des G-Codes für die CNC-Maschine
- Einfache Bedienung durch klar strukturierte Oberfläche
Systemanforderungen:
- Python-Version: 3.9
- Start der Anwendung: Durch Ausführen der Datei main.py
Verwendete Python-Bibliotheken:
- PyQt5 (Version 5.15.11) – Für die GUI
- PyQt5-Qt5 (Version 5.15.2) – Qt-Bibliothek
- PyQt5-sip (Version 12.17.0) – Bindungen zwischen Python und C++ (Qt)
- matplotlib (Version 3.9.4) – Für die grafische Darstellung
- numpy (Version 2.0.2) – Für numerische Berechnungen
- numpy-stl (Version 3.2.0) – Für den Umgang mit STL-Dateie
ΦΩΣ 4D Database Objects
No full textThe database schema holds the data concerning the archaeological finds in relation to the location it was found and contextualizing the activities that were performed therein with those finds/objects by connecting them to the daylight amount by the architecture