90,622 research outputs found
Visual Analysis of RIS Data for Endmember Selection
Reflectance Imaging Spectroscopy (RIS) is a hyperspectral imaging technique used for investigating the molecular composition of materials. It can help identify pigments used in a painting, which are relevant information for art conservation and history. For every scanned pixel, a reflectance spectrum is obtained and domain experts look for pure representative spectra, called endmembers, which could indicate the presence of particular pigments. However, the identification of endmembers can be a lengthy process, which requires domain experts to manually select pixels and visually inspect multiple spectra in order to find accurate endmembers that belong to the historical context of an investigated painting. We propose an integrated interactive visual-analysis workflow, that combines dimensionality reduction and linked visualizations to identify and inspect endmembers. Here, we present initial results, obtained in collaboration with domain experts.Team Matthias AlfeldComputer Graphics and Visualisatio
Guidelines for RIS Planning in IIoT Scenarios
Industrial IoT (IIoT) scenarios are known to be challenging in terms of propagation conditions and easily subjected to lack of coverage. For this reason, reconfigurable intelligent surfaces (RIS) can be a smart solution to provide a satisfactory service for future artificial intelligence (AI)-based 6G networks. Nevertheless, RIS is a highly complex technology that requires a proper planning, ad-hoc management, and configuration to gain most benefits. Therefore, this paper aims to provide general guidelines to perform RIS planning in various IIoT scenarios. The planning is aimed at satisfying the stringent IIoT requirements in terms of data rate, reliability, and latency while minimizing the path loss. The results demonstrated the efficacy of RIS implementation in IIoT settings to enhance performance, with a mean path loss improvement of over 30 dB
Reconstructive treatment of ris-VADAs.
<p>(A–B) a ris-VADA was treated with single balloon-expandable stent, showing partial obliteration (A), 78 months follow-up imaging (B) confirmed complete obliteration. (C–D) a ris-VADA with partial obliteration (C) recurred (D) 3 months after treatment of single stent. (E–F) a ris-VADAs with partial obliteration was cured 12 months after treatment using 3 Enterprise stents.</p
Performance Analysis of RIS-Assisted FSO Communications over Fisher–Snedecor F Turbulence Channels
The Fisher–Snedecor (F-S) F distribution has recently been introduced as a tractable turbulence-induced (TI) fading model that fits well with the experimental data. This paper provides a performance evaluation of a free-space optical (FSO) re-configurable intelligent surface (RIS)-assisted communications (ACs) link over the F-S F TI fading channels, assuming the intensity modulation–direct detection (IM–DD) technique. In particular, novel and closed-form (C-F) analytical expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the end-to-end signal-to-noise ratio (SNR) in terms of Gaussian hyper-geometric functions are efficiently derived. Capitalizing on the obtained results, novel C-F analytical expressions for the moment generating function (MMGF), outage probability (OP), average bit error rate (BER) and ergodic channel capacity (Cγ) of the FSO RIS-ACs system over the F-S F TI fading channels are provided and numerically evaluated under the various TI fading severity conditions. Furthermore, the second-order (S-O) statistical expressions for the level crossing rate (LCR) and average fade duration (AFD) are obtained and thoroughly examined for various FSO RIS-ACs system model parameters
Strains expressing ion channel mutants in RIS.
A) Scheme of the genetic design of the different RIS potassium channel mutant transgenes. B-D) Localization and expression of mKate2, which is translationally fused to the ion channels, in the different inactivation strains. E) Schematic representation of the genetic design of the RIS sodium channel mutant transgenes. F) Quantification of the expression levels of UNC-58gf::mKate2 in the two RIS overactivation strains. ***pRIS::unc-58gf(strong)). H) Localization and expression of the weak overactivation strain (RIS::unc-58gf(weak)).</p
Microsiphum wahlgreni Hille Ris Lambers 1947
Microsiphum wahlgreni Hille Ris Lambers 1947 = Microsiphum jazykovi Nevsky 1928 This synonymy was proposed more than 50 years ago by Börner (1952), and seems entirely valid, but was not adopted in subsequent catalogues.Published as part of Victor, Eastop, F. & Blackman, Roger L., 2005, Some new synonyms in Aphididae (Hemiptera: Sternorrhyncha), pp. 1-36 in Zootaxa 1089 on page 16, DOI: 10.5281/zenodo.27334
RIS: Regularized imaging spectroscopy for STIX on board Solar Orbiter
Context. The generation of spatially resolved count spectra and of cubes of count maps at different energies via imaging spectroscopy is one of the main goals of solar hard X-ray missions based on Fourier imaging. Thus, so far, for these telescopes, this goal has been realized via the generation of either count maps that are independently reconstructed in the different energy channels or electron flux maps reconstructed via a deconvolution of the approximate forms for the bremsstrahlung cross-section. Aims. Our aim is to introduce a regularized imaging spectroscopy method (RIS), whereby the regularization implemented in the count space imposes a smoothing constraint across contiguous energy channels, without the need for computing any deconvolution of the bremsstrahlung effect. Methods. STIX records imaging data, while computing the visibilities in the spatial frequency domain. Our RIS is a sequential scheme in which part of the information coded in the image is reconstructed at a specific energy channel and transferred to the reconstruction process at a contiguous channel via a visibility interpolation computed by means of variably scaled kernels (VSKs). Results. In the case of STIX visibilities recorded during the November 11, 2022 flaring event, we show that RIS is able to generate hard X-ray maps, whose morphology is seen to smoothly evolve from one energy channel to the contiguous one; accordingly, from these maps, it is possible to infer spatially resolved count spectra characterized by a notable numerical stability. We also show that the performance of this approach is robust with respect to both the image reconstruction method and the count energy channel utilized to trigger the sequential process. Conclusions. We conclude that RIS is not only an appropriate, but also an effective and necessary approach to constructing image cubes from STIX visibilities that are characterized by smooth behavior across count energies. Thus, it allows for the generation of numerically stable (and, thus, physically reliable) local count spectra
RIS-Assisted Receive Quadrature Spatial Modulation with Low-Complexity Greedy Detection
In this paper, we propose a novel reconfigurable intelligent surface
(RIS)-assisted wireless communication scheme which uses the concept of spatial
modulation, namely RIS-assisted receive quadrature spatial modulation
(RIS-RQSM). In the proposed RIS-RQSM system, the information bits are conveyed
via both the indices of the two selected receive antennas and the conventional
in-phase/quadrature (IQ) modulation. We propose a novel methodology to adjust
the phase shifts of the RIS elements in order to maximize the signal-to-noise
ratio (SNR) and at the same time to construct two separate PAM symbols at the
selected receive antennas, as the in-phase and quadrature components of the
desired IQ symbol. An energy-based greedy detector (GD) is implemented at the
receiver to efficiently detect the received signal with minimal channel state
information (CSI) via the use of an appropriately designed one-tap
pre-equalizer. We also derive a closed-form upper bound on the average bit
error probability (ABEP) of the proposed RIS-RQSM system. Then, we formulate an
optimization problem to minimize the ABEP in order to improve the performance
of the system, which allows the GD to act as a near-optimal receiver. Extensive
numerical results are provided to demonstrate the error rate performance of the
system and to compare with that of a prominent benchmark scheme. The results
verify the remarkable superiority of the proposed RIS-RQSM system over the
benchmark scheme.Comment: 30 pages (single column), 6 figures, 1 tabl
Dysaphis albocinerea Hille Ris Lambers 1956
Dysaphis albocinerea (Hille Ris Lambers, 1956) = Dysaphis emicis Mimeur (1935) Dysaphis rheicola Daniyarova in Mamontova and Daniyarova, 1971 = Dysaphis emicis Mimeur (1935) Synonymy of D. albocinerea with D. emicis was proposed by Shaposhnikov (1964). The description of D. rheicola also does not distinguish it from D. emicis on the same host.Published as part of Victor, Eastop, F. & Blackman, Roger L., 2005, Some new synonyms in Aphididae (Hemiptera: Sternorrhyncha), pp. 1-36 in Zootaxa 1089 on page 11, DOI: 10.5281/zenodo.27334
Both, strong inactivation of RIS as well as <i>RIS</i>::<i>unc-58gf(strong)</i> prevent sleep behavior during L1 arrest.
A-F) Ion channel expression in RIS controls calcium activity and sleep behavior. Mobility quiescence bouts (grey shade) correlate with RIS transients. Movement speed was calculated by tracking the position of the head neuron RIS. A) RIS::twk-18gf and B) RIS::egl-23gf(strong) larvae do not have detectable mobility quiescence bouts or RIS transients. C) RIS::egl-23gf(weak) has reduced mobility quiescence bouts. D) Wild-type RIS activation transients and immobility bouts. E) RIS::unc-58gf(weak) spends more time in mobility quiescence bouts. F) RIS::unc-58gf(strong) has no detectable mobility quiescence bouts and no RIS transients but a high constant activity. G) RIS activation and immobility are correlated only for the strains that also show sleeping behavior. Alignment of RIS activity and speed to mobility quiescence bout onset. **p0.05, **p<0.001, ***p<0.001, Welch test with FDR correction for multiple testing. I) Long-term sleep fraction for RIS activity strains from day 1 to day 12 of starvation.</p
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