The skeleton-based human action recognition has broad application prospects in the field of virtual reality, as skeleton data is more resistant to noise such background interference and camera angle changes. Notably, recent works treat a non-grid representation, e.g., graph, then learns spatio-temporal pattern via graph convolution operators. Still, stacked plays marginal role modeling long-range dependences that may contain crucial semantic cues. In this work, we introduce large kernel...

It is challenging to realize a dual-ion mode of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for detecting small molecules. Herein, graphene coated by porous amorphous carbon with P–O surface group and codoped phosphorus nitrogen (O–P,N-C/G) was synthesized from an aerogel formed phytic acid, polyaniline, electrochemically exfoliated graphene. The material has the feature large area (583 m2/g), good electrical conductivity, strong UV absorption,...

A new method, to the best of our knowledge, based on double-slit (DS) interference is proposed accurately estimate shear ratio system, with plane wave or spherical incidence. Existing calibration methods, designed primarily for lateral shearing interferometry (LSI) incidence, are not applicable LSIs directly testing divergent convergent waves. Equations calculating using fringe spacing DS interferogram and NA incident derived in this paper. The simulation result shows that relative error...

Skeleton-based action recognition has broad prospects owing to the fact that skeleton data is more robust scene noise and camera view changes. Recently, researchers mainly aim explore deep-learning feature engineering with competitive accuracy for actions. However, a high-performance network usually stacked by complex extraction modules introducing massive computational costs. In this work, we designed powerful universal knowledge distillation paradigm based on decoupled transferring from...

Redundant manipulators are universally employed to save manpower and improve work efficiency in numerous areas. Nevertheless, the redundancy makes inverse kinematics of hard address, thus increasing difficulty instructing perform a given task. To deal with this problem, an online learning fuzzy echo state network (OLFESN) is proposed first place, which based upon Takagi-Sugeno-Kang inference system (FIS). Then, OLFESN-based control scheme devised implement efficient redundant manipulators....

In this study, a novel multi-classifier ensemble method based on dynamic weights is proposed to reduce the interference of unreliable decision information and improve accuracy fusion decision. The algorithm defines credibility describe real-time importance classifier current target, combines with reliability calculated by training data set dynamically assigns weight classifier. Compared other methods, contribution different classifiers in acquiring fully evaluated consideration capability...

A grating is an important element of a phase-shifting point diffraction interferometer, and the constant duty cycle have great impact on so design becomes significant. In order to measure projection objective with numerical aperture 0.2, we present joint optimization method pinhole based scalar finite difference time domain method. The film thickness are selected, optimized. results show that in processing material chromium adopted, 200 nm, 15 μm. When 55%, interference fringe contrast...

Maternal occupational exposure to endocrine disrupting chemicals (EDCs) may have adverse effect on birth outcomes. However, little is known about paternal EDCs and the combined of parental outcomes.To assess effects both maternal outcomes, further explore if multi-vitamins supplement infant sex modify association.We conducted a prospective cohort study 5421 mother-father-newborn groups in Guangzhou, China. A questionnaire informed by job matrix (JEM) was applied collect based type work...

A waveplate is usually used to measure the polarization effects in optical systems. For a hyper numerical aperture imaging system with large angle of incidence, incident plane light concerned may be neither parallel nor perpendicular axis waveplate, which makes conventional produce undesired nonuniform retardation any determined by and wave normal crystal surface. To compensate effectively for this retardation, authors propose approaches analyze optimize wide-viewing-angle (WVA) λ/4 plate....

Accurate detection and classification of breast cancer is a critical task in medical imaging due to the complexity tissues. Transformers have recently impacted computer vision area, also eld image analysis. However, from histopathological images using transformers faces big challenge: are not suitable for small sets data datasets more difficult obtain. Therefore, great significance. In this study, we propose method without large data. The network automatically extracts features through...

The current research on quadriwave lateral shearing interferometry (LSI) is primarily focused the measurements of plane wave or quasiplane wave. When directly measuring spherical waves with high numerical apertures (NA>0.35), it will generate additional systematic errors, which affect measurement accuracy. To make LSI applicable to a high-NA wave, this paper proposes fast and direct calibration method by establishing geometry model incidence. expression for optical path difference...

Multilateral shearing interferometers (multi-LSIs) utilize the phase difference information of multiple shear directions with high accuracy and strong noise resistance. However, interferogram fringe contrast multi-LSIs can reverse due to effect modulation, leading incorrect measurement result. This issue has lacked comprehensive quantitative research effectively guide elimination its effects. In this work, a analysis modulation is proposed. paper rigorously derives function, analyzing...

Identification of cervical intraepithelial neoplasia (CIN) tissues holds significant clinical importance in reducing the incidence and mortality cancer. The ultraviolet Mueller matrix imaging polarimeter (UV-MMIP) can significantly enhance morphological specific contrast. For first time, to our best knowledge, we used polarimetric metrics measured by UV-MMIP combined with machine-learning techniques achieve high-accuracy CIN classification. Initially, eight classifiers four types were...

Depending on the measured objects and specific detection requirements, adjusting shear ratio appropriately is crucial for optimizing performance of quadriwave lateral shearing interferometric microscopy (QWLSIM). Hence, in QWLSIM should be continuously variable practical applications. In this paper, phase using interferometer with proposed. We use a globally random encoded hybrid grating (GREHG), which comprises an amplitude chessboard, as beam splitter interferometer. The coding rule GREHG...

Monte Carlo simulation offers significant advantages in the prediction of second harmonic generation polarization photon propagation behavior. The existing (MC) models, which primarily focus on sphere scattering particles, neglect modeling collagen fibers, is primary medium to generate signals. Additionally, impact structural changes cylindrical fibers nonlinear susceptibility ratio has not been sufficiently explored. In this paper, we propose an MC sphere-cylinder mediums based DSMP....

Characterization of measurement accuracy the phase-shifting point diffraction interferometer (PS∕PDI) is usually performed by two-pinhole null test. In this procedure, geometrical coma and detector tilt astigmatism systematic errors are almost one or two magnitude higher than desired PS∕PDI. These must be accurately removed from test result to achieve high accuracy. Published calibration methods, which can remove error successfully, have some limitations in calibrating error. paper, we...