Vision-language alignment learning for video-text retrieval arouses a lot of attention in recent years. Most the existing methods either transfer knowledge image-text pretraining model to task without fully exploring multi-modal information videos, or simply fuse features brute force manner explicit guidance. In this paper, we integrate an by tagging, and use tags as anchors better alignment. Various pretrained experts are utilized extracting multiple modalities, including object, person,...

Given a set of calibrated images, Multiple View Stereo (MVS) applies end-to-end depth inference network to recover scene structure. However, previous methods designed pixel-visibility modules aggregate cross-view cost, ignoring the consistency assumption 2D contextual features in 3D direction. The current multi-stage model also relies on intensive samples, which requires high memory consumption. To alleviate these problems, this work exploits edge-assisted epipolar Transformer for multi-view...

Abstract Spaceflight‐induced multi‐organ dysfunction affects the health of astronauts and safety in‐orbit flight. However, effect microgravity on kidney underlying mechanisms are unknown. In current study, we used a hindlimb unweighting (HU) animal model to simulate employed histological analysis, ischemia–reperfusion experiments, renal ultrasonography, bioinformatics isometric force measurement, other molecular experimental settings evaluate effects kidneys involved in this transition....

Multimodal soft sensors have attracted significant attention due to their ability simultaneously measure multiple physical properties of objects, offering immense potential for the use smart wearable devices and robots. However, achieving simultaneous detection quantities integrating these functions in a limited sensor space remains challenge. In this article, novel multimodal is proposed mechanical stretching bending deformations, which based on room temperature ionic liquid (RTIL)...

Abstract Objectives Postflight orthostatic intolerance has been regarded as a major adverse effect after microgravity exposure, in which cerebrovascular adaptation plays critical role. Our previous finding suggested that dedifferentiation of vascular smooth muscle cells (VSMCs) might be one the key contributors to under simulated microgravity. This study was aimed confirm this concept and elucidate underlying mechanisms. Materials Methods Sprague Dawley rats were subjected 28‐day...

A contactless multiscale cardiac motion measurement method is proposed using impulse radio ultra-wideband (IR-UWB) radar at a center frequency of 7.29 GHz.Electrocardiograph (ECG), heart sound, and ultrasound are traditional state-of-the-art heartbeat signal methods. These methods suffer from defects in contact the existence blind information segment during cardiogram measurement.Experiments analyses were conducted coarse-to-fine scale. Anteroposterior along-the-arc measurements taken five...

Code-switching speech refers to a means of expression by mixing two or more languages within single utterance. Automatic Speech Recognition (ASR) with End-to-End (E2E) modeling for such can be challenging task due the lack data. In this study, we investigate text generation and injection improving performance an industry commonly-used streaming model, Transformer-Transducer (T-T), in Mandarin-English code-switching recognition. We first propose strategy generate codeswitching data then...

In the real-world scenario, a longstanding goal of multilingual neural machine translation (MNMT) is that single model can incrementally adapt to new language pairs without accessing previous training data. this studies concentrate on overcoming catastrophic forgetting while lacking encouragement learn knowledge from incremental pairs, especially when not related set original languages. To better acquire knowledge, we propose transfer method efficiently MNMT models diverse pairs. The...

This paper presents a new quadrangulation algorithm, extending the spectral surface approach where coarse quadrangular structure is derived from Morse-Smale complex of an eigenfunction Laplacian operator on input mesh. In contrast to original scheme, we provide flexible explicit controls shape, size, orientation and feature alignment faces. We achieve this by proper selection optimal eigenvalue (shape), adaption area term in (size), adding special constraints Laplace eigenproblem...

Wearable exoskeleton robots can promote the rehabilitation of patients with physical dysfunction. And improving human-computer interaction performance is a significant challenge for robots. The traditional feature extraction process based on surface Electromyography(sEMG) complex and requires manual intervention, making real-time difficult to guarantee. In this study, we propose an end-to-end method predict human knee joint angles sEMG signals using tightly coupled convolutional transformer...

Hearing impairment in older adults may affect cognitive function and increase the risk of dementia. Most tests are delivered auditorily, individuals with hearing loss fail to hear verbal instructions. Greater listening difficulty fatigue acoustic conditions impact test performance. This study aimed examine effect decreased audibility on screening performance adults.Older (n = 63) different levels completed a standard auditory Mini-Mental State Examination written version test.Individuals...

Two water-soluble single-benzene-based chromophores, 2,5-di(azetidine-1-yl)-tereph- thalic acid (DAPA) and its disodium carboxylate (DAP-Na), were conveniently obtained. Both chromophores preserved moderate quantum yields in a wide range of polar protonic solvents. Spectroscopic studies demonstrated that DAPA exhibited red luminescence as well large Stokes shift (>200 nm) aqueous solutions. Femtosecond transient absorption spectra illustrated quadrupolar usually involved the formation an...

Existing models for named entity recognition (NER) are mainly based on large-scale labeled datasets, which always obtain using crowdsourcing. However, it is hard to a unified and correct label via majority voting from multiple annotators NER due the large labeling space complexity of this task. To address problem, we aim utilize original multi-annotator labels directly. Particularly, propose CONfidence-based partial Label Learning (CONLL) method integrate prior confidence (given by...

Abstract Forward kinematics analysis of body posture perception is the basis for studying other performance 6-degree freedom parallel robot. Because forward involves many sets nonlinear equations, it usually difficult to solve. In this paper, an improved BP neural network (BPNN) based on a quantum genetic algorithm (GA) designed solve problem. Additionally, we use characteristics easy calculation inverse generate dataset training and testing. Finally, through large number experiments, show...

Stream Processing Platform Service (SPPS is a service built on container cloud and implemented for purpose to develop stream processing application with simple configuration. The needs provide scaling ability in order adjust system capacity dynamic incoming data volume. Data flow significant indicator load thus it becomes fundamental factor analyzing. prediction important improve Quality of (QoS) as well optimize resource usage. In this paper, an approach applying Least Mean Squares (LMS)...

Abstract Objective. Current autism clinical detection relies on doctor observation and filling of scales, which is subjective prone to misdetection. Existing research functional magnetic resonance imaging (fMRI) over-compresses the time-scale information has poor generalization ability. This study extracts multiple time scale brain features fMRI, providing objective detection. Approach . We first use least absolute shrinkage selection operator build a sparse network extract with 1. Then, we...

Alarmingly, the individuals' reach and coverage to get vaccinated in developing regions during pandemic is a massive challenge for concerned authorities. This study aimed demonstrate how cyberchondria play significant role classical health belief model. Cyberchondria may influence cognitive factors (e.g. self-efficacy), which contribute an increase attitude-behavior gap. Especially context of health-centric scenario, it discourage individuals take protective measures.

This paper presents a novel Linear Mapping Field (LMF) to map time series into two-dimensional images. The LMF extracts deeper features of fNIRS signals, which makes less reliant on some prior. developed convolution neural networks detect more prominent than the state-of-the-art methods. experimental results indicate that different from RNNs can only perceive in "sequential" manner, LMF's characteristic "jumpingly" perception is key achieving excellent results. <italic...

Real-world design projects often involve designers and non-design professionals from the same or different organisations. Power asymmetries permeate such projects. However, prevailing research implicitly assumes that framing—an essential practice pervades process—unfolds within relatively equitable interpersonal negotiations. The dynamics in framing across individual collective levels under power asymmetric conditions remain largely underexplored. We conducted a cross-level analysis of 48...

With the development of technology and improvement living standards, consumer demand for toy products has also changed. More people are showing strong interest digital products. However, in current design process, extracting hairstyle features doll’s head is still a challenge. Therefore, this study extracts two-dimensional contour target matches it with template database. Then, combining hair texture information structural features, fine geometric details generated on mesh surface. Finally,...