96 research outputs found
Parallel finite volume simulation of the spherical shell dynamo with pseudo-vacuum magnetic boundary conditions
In this paper, we study the parallel simulation of the magnetohydrodynamic
(MHD) dynamo in a rapidly rotating spherical shell with pseudo-vacuum magnetic
boundary conditions. A second-order finite volume scheme based on a collocated
quasi-uniform cubed-sphere grid is applied to the spatial discretization of the
MHD dynamo equations. To ensure the solenoidal condition of the magnetic field,
we adopt a widely-used approach whereby a pseudo-pressure is introduced into
the induction equation. The temporal integration is split by a second-order
approximate factorization approach, resulting in two linear algebraic systems
both solved by a preconditioned Krylov subspace iterative method. A multi-level
restricted additive Schwarz preconditioner based on domain decomposition and
multigrid method is then designed to improve the efficiency and scalability.
Accurate numerical solutions of two benchmark cases are obtained with our code,
comparable to the existing local method results. Several large-scale tests
performed on the Sunway TaihuLight supercomputer show good strong and weak
scalabilities and a noticeable improvement from the multi-level preconditioner
with up to 10368 processor cores
Quasi-synchronous Random Access for Massive MIMO Based LEO Satellite Constellation
peer reviewedLow earth orbit (LEO) satellite constellationenabled
communication network is considered to be an indispensable
part to realize the Internet of Things (IoT) due to its unique
advantages in providing seamless global coverage. In this paper,
we investigate the random access problem in massive multipleinput
multiple-output based LEO satellite communication systems.
To deal with grant-free random access in IoT, a training
sequence padded multi-carrier system is designed with tolerance
to imperfect synchronization. Specifically, we construct a multisatellite
system where a training sequence is utilized to perform
joint activity detection and channel estimation (JADCE) at the
edge satellite nodes. Considering the sparse feature of terrestrialsatellite
link and sporadic transmission of user terminals (UTs),
we propose a compressed sensing-based algorithm to estimate
the delay tap and UT activities. To further utilize the structured
feature of the receive array, a 2-D ESPRIT algorithm is performed
for augmented parameterized channel estimation. Finally,
enhanced activity detection and data detection are performed
at the central node by leveraging the aggregated information
from edge nodes. To achieve reliable information transmission, we
propose a centralized interference cancellation and data detection
method, where both the high spatial correlation among UTs and
quantized backhaul are taken into account. Simulation results
verify the effectiveness of our proposed scheme in terms of
channel estimation, activity detection, and data detection for
quasi-synchronous random access satellite system
Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things
This paper investigates the massive connectivity of low Earth orbit (LEO)
satellite-based Internet-of-Things (IoT) for seamless global coverage. We
propose to integrate the grant-free non-orthogonal multiple access (GF-NOMA)
paradigm with the emerging orthogonal time frequency space (OTFS) modulation to
accommodate the massive IoT access, and mitigate the long round-trip latency
and severe Doppler effect of terrestrial-satellite links (TSLs). On this basis,
we put forward a two-stage successive active terminal identification (ATI) and
channel estimation (CE) scheme as well as a low-complexity multi-user signal
detection (SD) method. Specifically, at the first stage, the proposed training
sequence aided OTFS (TS-OTFS) data frame structure facilitates the joint ATI
and coarse CE, whereby both the traffic sparsity of terrestrial IoT terminals
and the sparse channel impulse response are leveraged for enhanced performance.
Moreover, based on the single Doppler shift property for each TSL and sparsity
of delay-Doppler domain channel, we develop a parametric approach to further
refine the CE performance. Finally, a least square based parallel time domain
SD method is developed to detect the OTFS signals with relatively low
complexity. Simulation results demonstrate the superiority of the proposed
methods over the state-of-the-art solutions in terms of ATI, CE, and SD
performance confronted with the long round-trip latency and severe Doppler
effect.Comment: 20 pages, 9 figures, accepted by IEEE Transactions on Wireless
Communication
Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations
Low earth orbit (LEO) satellite constellation-enabled communication networks
are expected to be an important part of many Internet of Things (IoT)
deployments due to their unique advantage of providing seamless global
coverage. In this paper, we investigate the random access problem in massive
multiple-input multiple-output-based LEO satellite systems, where the
multi-satellite cooperative processing mechanism is considered. Specifically,
at edge satellite nodes, we conceive a training sequence padded multi-carrier
system to overcome the issue of imperfect synchronization, where the training
sequence is utilized to detect the devices' activity and estimate their
channels. Considering the inherent sparsity of terrestrial-satellite links and
the sporadic traffic feature of IoT terminals, we utilize the orthogonal
approximate message passing-multiple measurement vector algorithm to estimate
the delay coefficients and user terminal activity. To further utilize the
structure of the receive array, a two-dimensional estimation of signal
parameters via rotational invariance technique is performed for enhancing
channel estimation. Finally, at the central server node, we propose a majority
voting scheme to enhance activity detection by aggregating backhaul information
from multiple satellites. Moreover, multi-satellite cooperative linear data
detection and multi-satellite cooperative Bayesian dequantization data
detection are proposed to cope with perfect and quantized backhaul,
respectively. Simulation results verify the effectiveness of our proposed
schemes in terms of channel estimation, activity detection, and data detection
for quasi-synchronous random access in satellite systems.Comment: 38 pages, 16 figures. This paper has been accepted by IEEE JSAC SI on
3GPP Technologies: 5G-Advanced and Beyond. Copyright may be transferred
without notice, after which this version may no longer be accessibl
A human-in-the-loop haptic interaction with subjective evaluation
To date, one of the challenges in Human-Computer Interaction (HCI) is fully immersive multisensory remote physical interaction technologies. The applications of haptic perception in HCI can enrich the interaction details and effectively improve the immersion and realism of interaction. In the human-in-the-loop haptic interaction system, the quality of experience (QoE) of the human operator plays an essential role. However, QoE in haptic interaction is still in its infancy. Based on the typical application scenarios of haptic operation, the paper constructs a haptic-visual interaction framework and analyzes the QoE influencing factors. Through subjective evaluation experiments, the paper establishes a haptic interaction database that can provide a research basis for further exploring the relationship between various influencing factors and interactive QoE
Involvement of Fenton chemistry in rice straw degradation by the lignocellulolytic bacterium Pantoea ananatis Sd-1
Additional file 7: Table S2. Primers used for quantitative real time-PCR
Near-Space Communications: the Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle
This article presents a comprehensive study on the emerging near-space
communications (NS-COM) within the context of space-air-ground-sea integrated
network (SAGSIN). Specifically, we firstly explore the recent technical
developments of NS-COM, followed by the discussions about motivations behind
integrating NS-COM into SAGSIN. To further demonstrate the necessity of NS-COM,
a comparative analysis between the NS-COM network and other counterparts in
SAGSIN is conducted, covering aspects of deployment, coverage, channel
characteristics and unique problems of NS-COM network. Afterwards, the
technical aspects of NS-COM, including channel modeling, random access, channel
estimation, array-based beam management and joint network optimization, are
examined in detail. Furthermore, we explore the potential applications of
NS-COM, such as structural expansion in SAGSIN communication, civil aviation
communication, remote and urgent communication, weather monitoring and carbon
neutrality. Finally, some promising research avenues are identified, including
stratospheric satellite (StratoSat) -to-ground direct links for mobile
terminals, reconfigurable multiple-input multiple-output (MIMO) and holographic
MIMO, federated learning in NS-COM networks, maritime communication,
electromagnetic spectrum sensing and adversarial game, integrated sensing and
communications, StratoSat-based radar detection and imaging, NS-COM assisted
enhanced global navigation system, NS-COM assisted intelligent unmanned system
and free space optical (FSO) communication. Overall, this paper highlights that
the NS-COM plays an indispensable role in the SAGSIN puzzle, providing
substantial performance and coverage enhancement to the traditional SAGSIN
architecture.Comment: 28 pages, 8 figures, 2 table
Adipokinetic Hormone Receptor Mediates Trehalose Homeostasis to Promote Vitellogenin Uptake by Oocytes in Nilaparvata lugens
Adipokinetic hormones (AKHs) are well known to mobilize lipids and carbohydrates for energy-consuming activities in insects. These neuropeptides exert their functions by interacting with AKH receptors (AKHRs) located on the plasma membrane of fat body cells, which regulates energy mobilization by stimulating lipolysis of triacylglycerols (TAG) to diacylglycerols (DAG) and conversion of glycogen into trehalose. Here, we investigated the roles of AKH/AKHR signaling system in trehalose metabolism and vitellogenesis during female reproduction in the brown planthopper, Nilaparvata lugens. Knockdown of AKHR expression by RNA interference (RNAi) resulted in a decrease of the circulating trehalose in hemolymph and significantly increased levels of two trehalases in fat bodies, indicating that the modulation of hemolymph trehalose levels by AKHR may be mediated by regulating trehalose degradation. In addition, adult females that had been injected with double-stranded RNA (dsRNA) for AKHR exhibited delayed oocyte maturation, prolonged pre-oviposition period, as well as decline in egg number and reduction in fecundity. Considering that these phenotypes resulting from AKHR silencing are similar to those of vitellogenin receptor (VgR) RNAi, we further analyzed a possible connection between AKHR and vitellogenesis. Knockdown of AKHR showed no effects on the Vg synthesis in fat bodies, whereas it significantly reduced the levels of VgR in ovaries. With RNAi-females, we observed an increase of Vg accumulation in hemolymph and a decrease of Vg deposition in ovaries. Moreover, the decrease in VgR expression and Vg incorporation by developing oocytes could be partially rescued by injection of trehalose into AKHR RNAi females. The present study has implicated trehalose in the AKH/AKHR signaling-mediated control of reproduction and provided new insight into mechanisms of AKH/AKHR regulation of trehalose metabolism in insect vitellogenesis, oocyte maturation and fecundity
Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis
BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London
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