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Search for bottom quark associated production of the √standard model Higgs boson in final states with leptons in proton-proton collisions at √s = 13 TeV
Shift of the ecosystem nitrogen cycle from open to closed within a century along a glacial retreat chronosequence at Mount Gongga, southwest China
Developing a Thermal Design Optimization Method Based on the Model of SGE – System Generation Engineering
Electro-hydrostatic actuators are complex systems used in aircraft of future generations. Their development requires state of the art simulation and design methods to increase their efficiency. We analyzed the development of a design optimization method with the model of SGE – System generation engineering. We identified key points during development that lead to a high risk and therefore a high effort. We conclude that the model of SGE is able to identify risks during the development of complex design methods. This risk assessment provides a benefit when planning future generations
PID Component - A reusable Web Component for Visualizing FDOs
The FAIR Digital Objects concept is primarily designed for machine readability, machine interpretability and machine actionability, which results in a highly complex and interconnected infrastructure. To improve the integration, usability, and acceptance of FAIR Digital Objects - especially among non-technical users - it is therefore important to provide user-friendly and straightforward solutions. This work presents the pid-component, a reusable and highly extensible web component for framework-agnostic visualization of a variety of inputs, including Persistent Identifiers (PIDs), Data Types, ORCiDs, and others. For users, the pid-component provides a clean, uniform, and minimalistic interface for consuming FAIR-DOs. For developers, it enables easy integration into their platforms with minimal effort. This is achieved through a highly modular design with a compact form factor, aligning with the height of a single regular text line, and a minimalistic design approach focused on usability. The component relies on a set of W3C web standards and is explorable via an interactive playground that allows developers to understand the capabilities of the pid-component
Unsupervised learning of nanoindentation data to infer microstructural details of complex materials
In this study, Cu-Cr composites were studied by nanoindentation. Arrays of indents were placed over large areas of the samples resulting in datasets consisting of several hundred measurements of Young\u27s modulus and hardness at varying indentation depths. The unsupervised learning technique, Gaussian mixture model, was employed to analyze the data, which helped to determine the number of "mechanical phases" and the respective mechanical properties. Additionally, a cross-validation approach was introduced to infer whether the data quantity was adequate and to suggest the amount of data required for reliable predictions-one of the often encountered but difficult to resolve issues in machine learning of materials science problems
A Gold Standard Benchmark Dataset for Digital Humanities
We present a benchmark dataset specifically designed to evaluate matching systems using controlled vocabularies from the digital humanities (DH). This dataset includes manually compiled gold standard alignments for eight DH test cases, addressing DH-specific challenges such as multilingualism, specialized terminology, and the use of SKOS (Simple Knowledge Organization System) as a data model. The dataset, including the reference, is publicly and persistently available and incorporated into the OAEI 2024.
To obtain a high-quality dataset, we developed requirements including criteria for resource selection and present their practical implementation. By focusing on test cases that closely reflect real-world vocabularies, we facilitate advancements of matching systems, especially for subsequent mapping and integration tasks.
Evaluating the dataset using OAEI systems revealed significant weaknesses in their handling of SKOS and multilingual data, which shows the significance of our dataset. The evaluation also highlights the dataset\u27s quality, validity, limitations, and lessons learned, offering valuable insights for future benchmark development. We believe this dataset will substantially benefit the advancement of matching systems not only within the DH but also in other fields
Model-independent description of B → D π ℓ ν decays
We introduce a new parametrization of form factors using a partial-wave expansion and derive bounds on the series coefficients using analyticity and unitarity. This is the first generalization of the model-independent formalism developed by Boyd, Grinstein, and Lebed for to semileptonic decays with multihadron final states, and enables data-driven form-factor determinations with robust, systematically improvable uncertainties. Using this formalism, we extract the form-factor parameters for decays in a model-independent way from fits of data from the Belle Experiment. We find that the semileptonic data are compatible with the presence of two poles in the S-wave channel, which is the scenario preferred by nonleptonic decays and unitarized chiral perturbation theory
Influence of the Craniomandibular System on Human Postural Control with Special Consideration of Dynamic Stability
Postural control entails controlling the body\u27s position with respect to the environment for the dual purposes of balance and orientation. A growing body of literature suggests that the craniomandibular system can impact postural control. In contrast to static conditions, the effects of simultaneous jaw clenching during dynamic balance have not yet been investigated. The present thesis explores the effects of simultaneous submaximal jaw clenching on postural control in dynamic situations