243 research outputs found
Research and Implementation of Web Service Inheritance and Interface Web Service
Web Service (WS) and SOA (Service-Oriented Ar-chitecture) are now widely used. The most important application of SOA is connecting various business systems that automate an enterprise\u27s business processes. A new extension of Web Service definition and implementation-Inheritance of web service is pro-posed in this paper, just like the traditional inheriting mechanism of classes and interfaces in Object-oriented programming. It makes web service development and deployment more flexible, extendable and re-usable, and brings new thoughts and strengths to the implementation of SOA
Periapsis precession in general stationary and axisymmetric spacetimes
This work studies the periapsis shift in the equatorial plane of arbitrary
stationary and axisymmetric spacetimes. Two perturbative methods are
systematically developed. The first work for small eccentricity but very
general orbit size and the second, which is post-Newtonian and includes two
variants, is more accurate for orbits of large size but allows general
eccentricity. Results from these methods are shown to be equivalent under small
eccentricity and large size limits. The periapsis shift of Kerr-Newman,
Kerr-Sen and Kerr-Taub-NUT spacetimes are computed to high orders. The electric
charge and NUT charge are shown to contribute to the leading order but with
opposite signs. The frame-dragging term and high-order effect of spacetime spin
are given. The electric and NUT changes of the Earth, Sun and Sgr A* are
constrained using the Mercury, satellite and S2 precession data. Periapsis
shifts of other spacetimes are obtained too.Comment: 20 pages, 4 sets of figure
Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM
Localization and mapping with heterogeneous multi-sensor fusion have been
prevalent in recent years. To adequately fuse multi-modal sensor measurements
received at different time instants and different frequencies, we estimate the
continuous-time trajectory by fixed-lag smoothing within a factor-graph
optimization framework. With the continuous-time formulation, we can query
poses at any time instants corresponding to the sensor measurements. To bound
the computation complexity of the continuous-time fixed-lag smoother, we
maintain temporal and keyframe sliding windows with constant size, and
probabilistically marginalize out control points of the trajectory and other
states, which allows preserving prior information for future sliding-window
optimization. Based on continuous-time fixed-lag smoothing, we design
tightly-coupled multi-modal SLAM algorithms with a variety of sensor
combinations, like the LiDAR-inertial and LiDAR-inertial-camera SLAM systems,
in which online timeoffset calibration is also naturally supported. More
importantly, benefiting from the marginalization and our derived analytical
Jacobians for optimization, the proposed continuous-time SLAM systems can
achieve real-time performance regardless of the high complexity of
continuous-time formulation. The proposed multi-modal SLAM systems have been
widely evaluated on three public datasets and self-collect datasets. The
results demonstrate that the proposed continuous-time SLAM systems can achieve
high-accuracy pose estimations and outperform existing state-of-the-art
methods. To benefit the research community, we will open source our code at
~\url{https://github.com/APRIL-ZJU/clic}
Role of calcium in the expression of MAP kinase kinases (MKKs) and MAP kinases in tomato flower abscission
The mitogen activated protein kinase (MAPK) cascade is an important intracellular signaling module that functions as a convergent point for crosstalk during stress signaling. In this study, we constructed a phylogenetic tree for MAP kinase kinases (MKKs) and MAP kinases (MPKs) in Arabidopsis and Lycopersicon esculentum (tomato) and found that abscission-related AtMKK4 and AtMKK5, and AtMPK3 and AtMPK6 clustered with LeMKK2, and LeMPK1,and LeMPK2 and LeMPK3, respectively. To investigate whether there was a link between homology and abscission, we studied all the LeMKKs at the messenger ribonucleic acid (mRNA) transcript level. LeMKK2 and its homologue AtMKK4/5 both have roles in regulating abscission. Quantitative real time polymerase chain recation (qRT-PCR) of LeMPK1 and LeMPK2, which are highly homologous to AtMPK3 and AtMPK6, most probably mediate abscission downstream through LeMKK2. Calcium depressed the expression of these genes in the early stages of abscission. Treatment with W7 (a calmodulin inhibitor) indicated that the expression of LeMKKs and LeMPKs depended on calmodulin during tomato flower explant abscission.Keyword: Abscission, calcium, qRT-PCR, MAPK, tomat
Physics-Informed Supervised Residual Learning for Electromagnetic Modeling
In this study, physics-informed supervised residual learning (PhiSRL) is
proposed to enable an effective, robust, and general deep learning framework
for 2D electromagnetic (EM) modeling. Based on the mathematical connection
between the fixed-point iteration method and the residual neural network
(ResNet), PhiSRL aims to solve a system of linear matrix equations. It applies
convolutional neural networks (CNNs) to learn updates of the solution with
respect to the residuals. Inspired by the stationary and non-stationary
iterative scheme of the fixed-point iteration method, stationary and
non-stationary iterative physics-informed ResNets (SiPhiResNet and NiPhiResNet)
are designed to solve the volume integral equation (VIE) of EM scattering. The
effectiveness and universality of PhiSRL are validated by solving VIE of
lossless and lossy scatterers with the mean squared errors (MSEs) converging to
(SiPhiResNet) and (NiPhiResNet). Numerical
results further verify the generalization ability of PhiSRL.Comment: This preprint has been published in IEEE Transactions on Antennas and
Propagation on 01 March 2023. Please cite the final published version as [T.
Shan et al., "Physics-Informed Supervised Residual Learning for
Electromagnetic Modeling," in IEEE Transactions on Antennas and Propagation,
vol. 71, no. 4, pp. 3393-3407, April 2023, doi: 10.1109/TAP.2023.3245281
Effect of Amorphization Methods on the Properties and Structures of Potato Starch-Monoglyceride Complex
Recently, starch-based fat replacers (FRs) have emerged as unique ingredients, possessing few calories and high vascular scavenger function without adverse organoleptic changes. Here, a two-step modification method for the development of a starch-based FRs is reported. First, native potato starch is amorphized by grinding, alkali and ethanol treatment. Then, the amorphized starch is complexed with monoglyceride. The results show that alkaline amorphous potato starch (AAPS) has the best emulsifying activity; ethanol amorphous potato starch complex (EAPSC) has the highest content of resistant starch (RS) (21.49%), while grinding amorphous potato starch (GAPS) retains the granular structure of the original starch best. The amorphization reduces the amylose content of starch, leading to reduced swelling power and increased digestibility. Complexation, on the other hand, is more like attaching a layer of the hydrophobic membrane. Combined with DSC and XRD, amorphization reduces the value of enthalpy and crystallinity, while the complexation process does the opposite. Overall, EAPSC is the best candidate for novel FRs, due to its greater emulsion stability and enzyme resistance. The experimental results provide a theoretical basis for the application of a novel potato starch-monoglyceride complex in foods such as cakes and snack fillings
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