Förster resonance energy transfer (FRET) is a powerful tool for the visualization of molecular signaling events such as protein activities and interactions in cells. In its different implementations, FRET microscopy has been mainly used for monitoring single events. Recently, there has been a trend of extending FRET imaging towards the simultaneous detection of multiple events and interactions. The concomitant increase in experimental complexity requires a deeper understanding of the biophysical background of FRET. The presence of multiple acceptors for one donor affects the well-known formalism for FRET between two molecules, increasing distance sensitivity through mechanisms that have become known as the 'antenna' and 'surplus' effect. We will discuss the nature of these effects and present the imaging methods that have been used to unravel the combined transfer rates in the multi-protein interactions of multiplexed FRET experiments. Multiplexing strategies are becoming invaluable analytical tools for the elucidation of biological complexes and for the visualization of decision points in cellular signaling networks in physiological and pathological conditions.
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http://dx.doi.org/10.1007/s12551-017-0252-z | DOI Listing |
Vaccines (Basel)
December 2024
Central Institute of Clinical Chemistry and Laboratory Diagnostics, Medical Faculty, Heinrich Heine University, University Hospital, 40255 Düsseldorf, Germany.
Clinical studies show that SARS-CoV-2 vaccination sometimes entails a severe and disabling chronic syndrome termed post-acute-COVID-19-vaccination syndrome (PACVS). PACVS shares similarities with long COVID. Today, PACVS is still not officially recognised as a disease.
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December 2024
Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China.
Objectives: This study aimed to evaluate the safety profile of the recombinant zoster vaccine (RZV) after its marketing in China.
Methods: We present a descriptive analysis and safety signal assessment of adverse events following immunization (AEFI) associated with RZV between September 2020 and December 2023. The descriptive data collected includes demographic characteristics and the classification of characteristics of AEFI cases, while vaccine safety signal assessment was evaluated using the reporting odds ratio (ROR).
Sensors (Basel)
December 2024
Center for Precision Neutrino Research, Department of Physics, Chonnam National University, Gwangju 61186, Republic of Korea.
Reactor-emitted electron antineutrinos can be detected via the inverse beta decay reaction, which produces a characteristic signal: a two-fold coincidence between a prompt positron event and a delayed neutron capture event within a specific time frame. While liquid scintillators are widely used for detecting neutrinos reacting with matter, detection is difficult because of the low interaction of neutrinos. In particular, it is important to distinguish between neutron (n) and gamma (γ) signals.
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December 2024
Department of Informatics and Telecommunications, University of Peloponnese, Acadimaikou G.K. Vlachou, 22100 Tripolis, Greece.
The urgent need for timely and accurate precipitation estimations in the face of ongoing climate change and the increasing frequency and/or intensity of extreme weather events underscores the necessity for innovative approaches. Recently, several studies have focused on estimating the precipitation rate through induced attenuation of radio frequency (RF) signals, which are abundant in modern communication systems. Most research has concentrated on frequencies exceeding 10 GHz, as attenuation at lower frequencies is minimal, posing measurement challenges.
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December 2024
School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia.
Traditional tactile brain-computer interfaces (BCIs), particularly those based on steady-state somatosensory-evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. In contrast, using transient electrical stimuli offers a promising alternative for generating tactile BCI control signals: somatosensory event-related potentials (sERPs). This study aimed to optimize the performance of a novel electrotactile BCI by employing advanced feature extraction and machine learning techniques on sERP signals for the classification of users' selective tactile attention.
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