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Higher education institutions are struggling to elevate the value and status of academic teaching. In this endeavour, rewards for excellence in teaching are becoming a common measure. This study reports on the experience of the first academic teachers who were given the status as rewarded teachers in new reward systems. We explore rewarded teachers’ potential to influence teaching and learning cul
Online wall temperatures were measured with fiber-coupled phosphor thermometry in a full-scale gas turbine combustor. The combustor was operated with natural gas and up to 100 vol% hydrogen at engine-relevant conditions. Two phosphors were tested for this application, namely YAG:Dy and YAG:Tm;Li. Although YAG:Tm;Li seemed to be the most promising phosphor for this application, it turned out to be
We have designed a [Fe(SH)4H]− model with the fifth proton binding either to Fe or S. We show that the energy difference between these two isomers (∆E) is hard to estimate with quantum-mechanical (QM) methods. For example, different density functional theory (DFT) methods give ∆E estimates that vary by almost 140 kJ/mol, mainly depending on the amount of exact Hartree–Fock included (0%–54%). The m
European Environmental Research Infrastructures (ENVRIs) on the ESFRI level are core facilities for providing data, research products and services from the four subdomains of Earth system science – Atmosphere, Marine, Solid Earth, and Biodiversity/Terrestrial Ecosystems. The ENVRI Cluster represents the core component of the European environmental research infrastructure landscape, with the ENVRI
Meteorological drought is a common hydrological hazard that affects human life. It is one of the significant factors leading to water and food scarcity. Early detection of drought events is necessary for sustainable agricultural and water resources management. For the catchments with scarce meteorological observatory stations, the lack of observed data is the main leading cause of unfeasible susta
BACKGROUND: Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.METHODS: Analyse
This paper presents a search for a new Z′ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using pp collision data collected at s = 13 TeV, corresponding to an integrated luminosity of 139 fb −1. The new gauge boson Z′ is predicted by Lμ − Lτ models to address observed phenomena that can not be explained by the Standard Model. The search examines the four-muon (4μ) final s
Context The context of this research is software process improvement (SPI) success factors for small and medium Web companies. Objective The primary objective of this paper is to propose a theoretical framework of SPI success factors for small and medium Web companies. Method The theoretical framework presented in this study aggregated the results of three previous research phases by applying prin
In order to provide clinical utility for research of how art therapists perceive clients’ inner change, the authors created a structured observational framework. This note-taking and assessment consist of five themes and sub-themes: Therapeutic Alliance, Creating, Affect-Awareness, Self-Awareness, and Ego-Strength. The framework was designed to be clinically-friendly, adaptable to various settings
The focus of this study was the empirical modelling of the high-speed bearings life and failure modes of a through-flow universal motor. An approach was used facilitating predictions of the life through-range of various conditions. The model estimates bearing life for the survival probability of 50% – L50. It influences parameters such as bearing temperature, speed factor, equivalent load, grease
Purpose: Monte Carlo (MC) modelling techniques can assess the quantitative accuracy of both planar and SPECT Nuclear Medicine images. It is essential to validate the MC code's capabilities in modelling a specific clinical gamma camera, for radionuclides of interest, before its use as a clinical image simulator. This study aimed to determine if the SIMIND MC code accurately simulates emission image
Our aesthetic response to the Universe, and the complexity of concepts through which we understand it, are inherently bound together in how we meaningfully interpret its nature. Over millennia the abstracted and intangible concepts of science have been developed and communicated through a rich array of representations across a variety of modes. The interpretation of such representations is a compl
While an extensive part of the conflict transformation literature stresses the importance of transforming the identities of conflict parties through recognition, it fails to recognise the propensity of such transformations to generate ontological insecurity and dissonance, and consequently a possible backlash towards antagonistic identities. Drawing on agonistic thought, we develop a conception of
Integration of high activity, selectivity, and stability is urgently desired to achieve more ideal photocatalysts. Herein, we reported the rational design of MoS2-MnS@(InxCu1-x)2S3 (M-M@IC) catalysts with dual interface to integrate separated redox sites for boosting photocatalytic hydrogen sulphide (H2S) splitting and the resource utilization of sacrificial reagents (Na2S/Na2SO3). The spatially s
Since most models used to study neuronal dysfunction display disadvantages and ethical concerns, a fast and reproducible in vitro model to study mitochondria-related neurodegeneration is required. Here, we optimized and characterized a 3-day retinoic acid-based protocol to differentiate the SH-SY5Y cell line into a neuronal-like phenotype and investigated alterations in mitochondrial physiology an
BACKGROUND: Nosocomial outbreaks of coronavirus disease 2019 (COVID-19) can have devastating consequences from both a resource cost and patient healthcare perspective. Relying on reverse transcription-polymerase chain reaction (RT-PCR) for identifying infected individuals may result in missed cases. Screening for antibodies after an outbreak can help to find missed cases and better illuminate rout
As the COVID-19 pandemic continues to affect societies across the world, the ongoing economic and social disruptions are likely to present fundamental challenges for current and future biodiversity conservation. We review the literature for outcomes of past major societal, political, economic and zoonotic perturbations on biodiversity conservation, and demonstrate the complex implications of pertu
Recurrent neural networks (RNNs) are efficient for classification of sequential data such as speech and audio due to their high precision on tasks. However, power efficiency, the required memory capacity and bandwidth requirements make them less suitable for battery powered devices. In this work, we introduce FLoPAD-GRU: a system on a chip (SoC) for efficient processing of gated recurrent unit (GR
