Nowadays, the investigation of Wireless Sensor Network (WSN) has materialized its functional area ubiquitously such as environmental engineering, industrial and business applications, military, feedstock habitat, agriculture sector, seismic detection, intelligent buildings, smart grids, predictive maintenance, etc. Although some challenges still exist in wireless sensor network, spite shortcoming, it been gaining significant attention among researchers technologists due to versatility...

Recently, skeleton-based human action recognition has attracted a lot of research attention in the field computer vision. Graph convolutional networks (GCNs), which model body skeletons as spatial-temporal graphs, have shown excellent results. However, existing methods only focus on local physical connection between joints, and ignore non-physical dependencies among joints. To address this issue, we propose hypergraph neural network (Hyper-GNN) to capture both information high-order for...

Abstract Background The aim was to evaluate long‐term effectiveness and safety of lanadelumab in patients ≥12 y old with hereditary angioedema (HAE) 1/2 (NCT02741596). Methods Rollover completing the HELP Study continuing into OLE received one 300 mg dose until first attack (dose‐and‐wait period), then q2wks (regular dosing stage). Nonrollovers (newly enrolled) from day 0. Baseline rate for rollovers: ≥1 attack/4 weeks (based on run‐in period during Study); nonrollovers: historical attack/12...

Septic thrombophlebitis of the internal jugular vein (IJV), known as Lemierre’s syndrome, is a rare complication secondary to infections in head and neck. Cholesteatoma middle ear complicated with syndrome rarely observed clinical practice. Currently, treatment controversy centers on whether anticoagulation therapy necessary for IJV distant metastatic emboli induced by syndrome. A 46-year-old female patient cholesteatoma underwent modified radical mastoidectomy tympanoplasty surgery...

Background As the healthcare environment undergoes rapid evolution, nurses frequently confront multifaceted changes, resulting in significant change fatigue. This fatigue adversely impacts their well-being, diminishes job satisfaction, elevates turnover rates, and undermines quality of care provided. Aim To comprehend levels experienced by clinical amidst environmental changes to analyze factors influencing this Methods A survey was conducted among 451 at a tertiary general hospital Nantong...

In this paper, we present two hashing based techniques for fast palmprint identification. We first propose three properties required by a hash function and then introduce our identification method on orientation pattern (OP) hashing. give the definition of OP demonstrate that it meets all requirements function, thus, would be appropriate second principal (POP) Because POPs are constructed using more stable features, POP can find target template quickly thus causing earlier termination...

Alzheimer’s disease (AD) is an irreversible neurodegenerative that severely impairs human thinking and memory. The accurate diagnosis of AD its prodromal stages, such as mild cognitive impairment (MCI), very important for timely treatment or possible interventions AD. Recent studies have shown multiple neuroimaging biological measures contain supplementary information prognosis. Most existing methods are proposed to simply integrate the multimodal data train model using all samples once,...

The objective of this randomized, double-blind, placebo-controlled study was to evaluate the efficacy and safety SHP465 mixed amphetamine salts (MAS) in adults with attention-deficit/hyperactivity disorder (ADHD). Eligible [aged 18–55 years; meeting Diagnostic Statistical Manual Mental Disorders, Fifth Edition ADHD criteria; baseline Rating Scale Adult Prompts (ADHD-RS-AP) total scores ≥28] were randomized 1:1:1 placebo or forced-dose MAS (12.5 37.5 mg/day) for 4 weeks. ADHD-RS-AP score...

Nowadays, wireless power transfer is ubiquitously used in rechargeable sensor networks (WSNs). Currently, the energy limitation a grave concern issue for WSNs. However, lifetime enhancement of challenging task need to be resolved. For addressing this issue, charging vehicle an emerging technology expand overall network efficiency. The present study focuses on network. To resolve issues mentioned above, we propose swarm intelligence based hard clustering approach using fireworks algorithm...

This paper proposes a seven-characteristic method called Local Feature Similarity (LFS) to recognize weave pattern repeat automatically. The LFS includes yarn feature acquisition, marking, marking subsequence segmentation, similarity calculation and size, which recognizes the size by texture of fabric image without considering color influence. can be applied three primary patterns their expansions, such as warp rib, weft rib panama, basket patterns. Furthermore, six classical adaptive...

To investigate psychiatric nurses' emotional intelligence and its effect on care behavior, while also examining the mediating of compassion fatigue perception management.

The aim of this study was to evaluate the efficacy, safety, and tolerability SHP465 mixed amphetamine salts (MAS) in children adolescents with attention-deficit/hyperactivity disorder (ADHD).This randomized, double-blind dose-optimization enrolled (6-17 years) meeting Diagnostic Statistical Manual Mental Disorders, Fourth Edition, Text Revision ADHD criteria having baseline Rating Scale IV (ADHD-RS-IV) total scores ≥28. Participants were randomized 1:1 placebo or dose-optimized MAS (12.5-25...

Video object extraction (VOE) refers to the challenging task of separating foreground objects automatically from a background. Aiming resolve problems incomplete and background interference irrelevant small moving objects, this paper proposes new method VOE based on spatiotemporal consistency saliency detection. The main innovation in proposed is composed three parts: first, gradient field (SGF) constructed by mutual between static feature intra-frame dynamic inter-frame, coarse motion map...

Person re-identification can be seen as a process of open set recognition. Usually, the deep learning models consider person model classification with softmax layer. However, layer cannot extended to unknown classes because its closed nature, so is just regarded feature extractor. To overcome problem mentioned above and make end-to-end, this paper cast into regression calculates probability that persons in images belong same identity. First, proposes model, named neural network integrating...

For a large-scale palmprint identification system, it is necessary to speed up the process reduce response time and also have high rate of accuracy. In this paper, we propose novel hashing-based technique called orientation field code hashing for fast identification. By investigating algorithms, first double-orientation encoding method eliminate instability codes make more reasonable. Secondly, window-based feature measurement rapid searching target. We explore influence parameters related...

Processing underwater acoustic signals for monitoring and classification are difficult problems that have recently attracted attention in the field of signal processing. For these purposes, it is necessary to use a method which could be able extract useful information about processed data. In this paper, an algorithm extracting feature from radiated noise targets based on wavelet packet transform presented. Energy features each frequency band extracted after four-stage decomposition...

The safety and efficacy of lanadelumab for the prevention hereditary angioedema (HAE) attacks have not been studied in Japanese patients. We report outcomes from a phase 3, multicenter, open-label study (NCT04180163) patients with HAE. HAE aged ≥12 years ≥1 investigator-confirmed attack during 4-week run-in baseline period were enrolled into received 300 mg every 2 weeks subcutaneously 52 weeks. Dosing could be reduced to 4 second 26-week treatment if had well-controlled symptoms (e.g.,...

Processing underwater acoustic signals for monitoring and classification are difficult problems that have recently attracted attention in the field of signal processing. For these purposes, it is necessary to use a method which could be able extract useful information about processed data. In this paper, an algorithm extracting feature from radiated noise targets based on bispectrum estimation presented. Features were extracted after three target low-dimension vectors obtained. The features...