5,305 research outputs found
The Baum-Connes Conjecture via Localisation of Categories
We redefine the Baum-Connes assembly map using simplicial approximation in
the equivariant Kasparov category. This new interpretation is ideal for
studying functorial properties and gives analogues of the assembly maps for all
equivariant homology theories, not just for the K-theory of the crossed
product. We extend many of the known techniques for proving the Baum-Connes
conjecture to this more general setting
Security–reliability analysis of AF full-duplex relay networks using self-energy recycling and deep neural networks
This paper investigates the security-reliability of simultaneous wireless information and
power transfer (SWIPT)-assisted amplify-and-forward (AF) full-duplex (FD) relay networks. In
practice, an AF-FD relay harvests energy from the source (S) using the power-splitting (PS) protocol.
We propose an analysis of the related reliability and security by deriving closed-form formulas for
outage probability (OP) and intercept probability (IP). The next contribution of this research is an
asymptotic analysis of OP and IP, which was generated to obtain more insight into important system
parameters. We validate the analytical formulas and analyze the impact on the key system parameters
using Monte Carlo simulations. Finally, we propose a deep learning network (DNN) with minimal
computation complexity and great accuracy for OP and IP predictions. The effects of the system’s
primary parameters on OP and IP are examined and described, along with the numerical data.Web of Science2317art. no. 761
Security-reliability analysis in CR-NOMA IoT network under I/Q imbalance
This paper presents a controllable analysis framework for evaluating the reliability and security
of underlay cognitive radio networks (CRs) relying on non-orthogonal multiple access (NOMA). In such
systems, a secondary base station (BS) transmits confidential information to multiple secondary users
uniformly distributed in the presence of a nearby located external eavesdropper. Moreover, transmit power
constraints are introduced to limit the interference to the primary imposed by cognitive base stations. As an
effective approach of multiple input single output (MISO) systems, the transmit antenna selection (TAS)
is selected in the BS to improve the secrecy performance of the primary networks. Furthermore, we first
consider the impact of quadrature-phase imbalance (IQI) to characterize the secure performance of the
considered network in practice. Then, the degraded performance is evaluated in terms of outage probability
(OP), intercept probability (IP), and effective secrecy throughput (EST) of two NOMA users. The optimal
EST can be achieved through simulations while the results of OP and IP provide guidelines in the design of
IQI-aware CR-NOMA systems. Finally, the trade-off between OP and IP with transmit signal-to-noise ratio
(SNR) at the BS is investigated for reflecting the security characteristic. Finally, the trade-off between OP
and IP with transmit signal-to-noise ratio (SNR) at the BS is studied for displaying the security characteristic.
Numerical results show that increasing the number of transmit antennas at the BS and other main parameters
improves performance. Moreover, when the system parameters are reasonably set, the secondary NOMA
user in CR-NOMA can be reached secure requirements regardless of the controlled IQI.Web of Science1111905611904
Constituents of essential oils from the leaves, stems and roots of Zingiber gramineum and Zingiber rufopilosum
The chemical constituents of essential oils obtained from leaves, stems and roots of Zingiber gramineum Noronha ex Blume and Zingiber rufopilosum Gagnep collected from Vietnam have been studied. The determination of essential oil components was performed by Gas Chromatography-Flame Ionization Detector (GC-FID) and Gas Chromatography- Mass Spectrometry (GC-MS). The main constituents of the leaves oil of Zingiber gramineum were zingiberene (19.5%), β-cubebene (12.9%), -sesquiphellandrene (12.9%) and β-elemene (11.6%) while the stems oil was dominated by benzyl benzoate (22.6%), β-elemene (9.7%) and -selinene (8.8%). However, γ-terpinene (17.9%), α-terpinene (17.1%), terpinen-4-ol (13.0%) and 1,8-cineole (12.8%) were the present in the root oil. In addition, -agarofuran (13.7%), α-humulene (8.8%) and α-pinene (8.7%) were the main compounds identified in the leaves of Zingiber rufopilosum. The stems comprised of α-cadinol (15.1%), -muurolol (12.1%) and endo-1-bourbonanol (9.9%) while (E,E)-farnesol (11.6%), α-pinene (10.0%), bornyl acetate (6.6%) and β-pinene (6.2%) were the significant compounds of the root oil. This is the first report on the volatile compositions of these plant species
The epidemiology and aetiology of diarrhoeal disease in infancy in southern Vietnam: a birth cohort study.
OBJECTIVES: Previous studies indicate a high burden of diarrhoeal disease in Vietnamese children, however longitudinal community-based data on burden and aetiology are limited. The findings from a large, prospective cohort study of diarrhoeal disease in infants in southern Vietnam are presented herein. METHODS: Infants were enrolled at birth in urban Ho Chi Minh City and a semi-rural district in southern Vietnam, and followed for 12 months (n=6706). Diarrhoeal illness episodes were identified through clinic-based passive surveillance, hospital admissions, and self-reports. RESULTS: The minimum incidence of diarrhoeal illness in the first year of life was 271/1000 infant-years of observation for the whole cohort. Rotavirus was the most commonly detected pathogen (50% of positive samples), followed by norovirus (24%), Campylobacter (20%), Salmonella (18%), and Shigella (16%). Repeat infections were identified in 9% of infants infected with rotavirus, norovirus, Shigella, or Campylobacter, and 13% of those with Salmonella infections. CONCLUSIONS: The minimum incidence of diarrhoeal disease in infants in both urban and semi-rural settings in southern Vietnam was quantified prospectively. A large proportion of laboratory-diagnosed disease was caused by rotavirus and norovirus. These data highlight the unmet need for a rotavirus vaccine in Vietnam and provide evidence of the previously unrecognized burden of norovirus in infants
Coherent multi-flavour spin dynamics in a fermionic quantum gas
Microscopic spin interaction processes are fundamental for global static and
dynamical magnetic properties of many-body systems. Quantum gases as pure and
well isolated systems offer intriguing possibilities to study basic magnetic
processes including non-equilibrium dynamics. Here, we report on the
realization of a well-controlled fermionic spinor gas in an optical lattice
with tunable effective spin ranging from 1/2 to 9/2. We observe long-lived
intrinsic spin oscillations and investigate the transition from two-body to
many-body dynamics. The latter results in a spin-interaction driven melting of
a band insulator. Via an external magnetic field we control the system's
dimensionality and tune the spin oscillations in and out of resonance. Our
results open new routes to study quantum magnetism of fermionic particles
beyond conventional spin 1/2 systems.Comment: 9 pages, 5 figure
Identifying house price diffusion patterns among Australian state capital cities
Prior research supports the proposition that house price diffusion shows a ripple effect along the spatial dimension. That is, house price changes in one region would reflect in subsequent house price changes in other regions, showing certain linkages among regions. Using the vector autoregression model and the impulse response function, this study investigates house price diffusion among Australia\u27s state capital cities, examining the response of one market to the innovation of other markets and determining the lagged terms for the maximum absolute value of the other markets\u27 responses. The results show that the most important subnational markets in Australia do not point to Sydney, rather towards Canberra and Hobart, while the Darwin market plays a role of buffer. The safest markets are Sydney and Melbourne. This study helps to predict house price movement trends in eight capital cities.<br /
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