bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive Q-learning Algorithm for AUV Route Planning
Authors: Zhu Yingying , Dai Changan , Xia Jiahao , Wu Haowei , An Li 
Published: August 2019

Abstract
When applying Q-learning algorithm to AUV route planning, it is difficult to strike a balance between exploration and exploitation. Usually, the fixed greedy rate or the greedy rate with fixed change trend is adopted according to experience. However, the value of greedy rate in the above method cannot be matched with the learning environment, and often occurs a problem of falling into a local optimal solution or slow learning convergence. In order to solve the above problems, we proposed an adaptive Q-learning algorithm. It guides the greedy rate with environmental complexity, and the environmental complexity degree of AUV is evaluated by the environmental complexity mathematical model. By setting up the simulation experiment of two-dimensional environment, the fixed greedy rate and the greedy rate with fixed change trend is compared. The simulation results show that the adaptive Q-learning algorithm considering environmental complexity converges faster and is less prone to fall into local optimal solutions.
Research and Design of an Improved ElGamal Digital Signature Algorithm
Authors: Fang Yi , Cong Linhu , Deng Jianqiu 
Published: August 2019

Abstract
Firstly, the digital signature technology and its basic principle are introduced. Then, an ElGamal digital signature algorithm based on discrete logarithm is described, and two aspects of security and signature efficiency are improved on the basis of this algorithm, and the correctness, security and complexity of the improved scheme are analyzed. The results show that the improved ElGamal algorithm achieves the purpose of improvement.
A semi-supervised clustering algorithm for real network traffic with concept drift
Authors: Hua Qu , Jie Jiang , Jihong Zhao , Yanpeng Zhang 
Published: August 2019

Abstract
Traffic classification has been widely applied for networking. Previous works paid much attention to static network traffic. In this paper, we propose a new strategy for the semi-supervised clustering algorithm to deal the concept drift in a dynamic network, as well as updating the model incrementally. Moreover, our algorithm can find new clusters and reduce the impact of noises. The results of simulation demonstrate the effectiveness of semi-supervised clustering algorithm.
Design of Radionuclides Identification Algorithm Based on Sequence Bayesian Method
Authors: Wu Zeqian , Wang Bairong , Sun Jian 
Published: August 2019

Abstract
An efficient method of radionuclides identification is essential for the work in the nuclear-related area. In this paper, sequential Bayesian method is embedded into a new radionuclides identification algorithm. Through the process of energy screening, parameter estimation, decision-making function updating and judging, the types of radionuclides can be identified quickly and accurately. This algorithm is tested by using the measured energy spectrum detected by LaBr3(Ce) detector, and the results are composed of the following four parts for the case where the widths of region of interest are 4σ and 6σ respectively: the selection experiment of two pre-set parameters of the algorithm; false alarm rate and missed alarm rate of radionuclides identification; the effect of energy drift on the identification accuracy; the average number of total collected particles and valid particles needed for identification process.
Using Conditional Adversarial Networks to Deblur the Sonar Image of the Unknown Motion Blur Kernels
Authors: Yan Zheping , Zhao Hang , Hu Wenyue 
Published: August 2019

Abstract
In order to recover the blurred sonar image collected by the side scan sonar during motion, we propose a solution based on the conditional adversarial networks to deblur the sonar image of the unknown motion blur kernels. First, we use improved conditional adversarial networks to recover the sonar image, and improve the loss function, so that the quality of image generation is improved while the training stability is enhanced. Then we propose a method for generating blurred sonar images. The blurred sonar image generated by this method is closer to the real blurred sonar image. Finally, we made our own sonar image set and trained it with two-timescale update rule. The final results proved that the image restored by this method has higher definition.
The Study of the Merger and Acquisition Behavior under the Perspective of Performance Feedback
Authors: Yin Jingyi 
Published: August 2019

Abstract
Based on the perspective of performance feedback, this paper sets the listed enterprises of the manufacturing industry in Shanghai and Shenzhen A shares from 2012 to 2017 as the study sample. The results of the solid evidence prove that when the enterprise cannot reach the expected performance, the feedback degree of negative performance will increase and the frequency of merger and acquisition would decrease with the increase of the gap between actual and expected performance. When implementing the regime of CEO double dipping as president, the inhibiting effect of the merger and acquisition behavior of negative performance feedback will become weak. On the contrary, when the political correlation intensity is high, the inhibiting effect of the merger and acquisition behavior of negative performance feedback will be enhanced.
The study on robot eviscerating technology and visceral contour recognition based on image processing for poultry
Authors: Chen Yan , Wan Lili 
Published: August 2019

Abstract
In this study, robot eviscerating technology was used in the poultry slaughter industry. The poultry viscera were grabbed by the manipulation with the guidance of machine vision technology. A machine-vision-based method of locating the viscera of poultry carcasses was described. The threshold segmentation method, sobel operator and image operations were used to segment the images of poultry viscera. Subsequently, the visceral contour was extracted and its position was detected for common poultry such as Three-Yellow Chicken. The identification rates of this visceral contour recognition system were 95.3%, suggesting that the proposed image recognition algorithm could achieve the accuracy required for poultry visceral contour detection. Therefore, the traditional artificial poultry eviscerating would be replaced by robot eviscerating technology, and the new technology exhibited higher automation program and better eviscerated effect, the location prediction of viscera and the positioning of the machine vision system could be designed, the new technical means were provided for subsequent research on the conveyor chain of poultry eviscerated.
Research of Machine Learning Algorithm for Broadcasting Spectrum Signal Processing
Authors: Sun Jinyu , Zhou Qun , Shang Jianping , Sun Shuai 
Published: August 2019

Abstract
FM broadcasting is mainly used to transmit sound and other signals in the form of wireless transmission. This thesis is based on a project for a radio department, and mainly focuses on the broadcasting frequency band, uses radio monitoring equipment to scan the spectrum signal of the broadcasting frequency band, and performs the data preprocessing, signal feature extraction and classification processing of the radio frequency spectrum signal on the extracted spectrum signal, so as to extract abnormal signals such as pseudo base stations, black radio, cheats in exams, etc. Firstly, relevant pre-processing is performed on the spectrum information of the broadcast frequency band. Through the improved K-Means algorithm, the original sample data including the glitch signal is eliminated, and the original signal is processed through the wavelet analysis of the spectrum signal. The original signal was decomposed by wavelet and wavelet reconstruction, so as to achieve the purpose of denoising the original signal. Secondly, based on the analysis of signal characteristics and the comparison of a large number of spectrum signals, a method for extracting individual features of spectrum signals is summarized. Finally, the grey relational degree cluster Analysis is used to extract the features of the spectrum signal, which provides a certain basis for the subsequent classification algorithm.
The Influence of Different Saliency on Full-Reference Sonar Image Quality Evaluation
Authors: Zhang Huiqing , Li Shuo , Chen Weiling , Liu Yutao 
Published: August 2019

Abstract
With the advent of sonar technology, our understanding of the ocean has become more comprehensive, especially for deep sea biology and geology. However, the sonar image is easily degraded during the underwater acoustic channel acquisition process, which affects the later research work. To this end, this paper compares and analyzes multiple saliency models and combines them with PSNR, SSIM and GSIM to explore an effective sonar image quality evaluation method. Finally, an experimental analysis on the newly established sonar image quality database shows that the difference of the significance model in predicting human attention has a performance gain effect on the image quality evaluation method when fused with the saliency model.
Reduced-reference image quality assessment method based on wavelet feature extraction and fusion
Authors: Zhang Huiqing , Li Yueqing , Li Shuo , Liu Yutao 
Published: August 2019

Abstract
Virtual reality has many characteristics such as multi-sensation, interactivity, and presence. Virtual reality images, also known as 360-degree panoramic images, provide users with an immersive experience and have been widely used in education, medical, military and many other fields in recent years. 360-degree panoramic images have high resolution and are subject to varying degrees of distortion during transmission and storage. Therefore, the evaluation of virtual reality images has practical significance. To this end, we propose a method for evaluating the quality of images in the new CVIQD database. The proposed image quality assessment model is developed based on Haar wavelet and Db4 wavelet feature extraction and fusion. The method is compared with a single wavelet feature extraction method. Experiments show that the method has better performance.
An Engineering Calculation Method for Regenerative Braking Energy of Metro Vehicles
Authors: Gao Qiang , Tian Xingjun , Tian Mo , Yang Jing , Zhang Jianrui , Lu Ning 
Published: August 2019

Abstract
The feedback-based technical scheme of Metro regenerative braking energy can effectively solve the rapid transfer and comprehensive utilization of regenerative electric energy and can effectively alleviate the reverse impact of regenerative electric energy on traction power supply system. In order to quantify the feedback power capacity and optimize the train dispatching, a simple engineering calculation method of regenerative braking energy is proposed in this paper. Firstly, the basic resistance calculation model is established and the braking characteristics of the vehicles are analysed by using the actual parameters of Metro vehicles. Secondly, the calculation method of regenerative energy is deduced by the energy conversion and balance equation. Finally, the calculation procedure of regenerative braking energy is explicated by an example, and the accuracy of the calculation results is verified.
The role of attentional focus on walking efficiency among older fallers and non-fallers
Authors: Mak Toby C T , Young William R , Lam Wing-Kai , Tse Andy C Y , Wong Thomson W L 
Published: August 2019

AbstractBackgroundThis study evaluated the effect of attentional focus instructions on movement efficiency during a level-ground walking task in older adults with and without a history of falls.MethodsOne hundred and thirty-four community-dwelling older adults were categorised into older fallers (OF) (n = 37) and older non-fallers (ONF) (n = 97). Each participant was instructed to walk at a self-selected pace along a 6 m walkway under three attentional focus conditions (i.e. internal, goal-directed and control) for a total of nine trials. Average muscle activity indices of lower limb co-contractions were measured using surface electromyography.ResultsBoth shank and thigh muscle co-contractions were higher in OF than in ONF in all three conditions. OF also demonstrated higher shank muscle co-contraction under the internal relative to the goal-directed condition, with no such change observed in ONF.ConclusionDespite no significant between-group differences in functional balance and balance confidence, relative walking inefficiencies were observed in OF compared with ONF. This finding demonstrates the debilitating consequences of falling that can occur with relative independence from various physiological or psychological factors that are commonly associated with falling and used to rationalise behavioural change. We also provide evidence that OF are more susceptible to conditions that provoke them to allocate attention internally. Therefore, in clinical contexts (e.g. gait rehabilitation), verbal instructions that refer to body movements (internal focus) might serve to compromise movement efficiency in older adults with a history of falls. Such changes will, theoretically, lessen the ability to react efficiently to changing environments experienced in daily life.
Antiphospholipid Antibodies in Patients With Lupus Anticoagulant Prozone Effect
Authors: Murphy Colin H , Jin Jing , Zehnder James L 
Published: August 2019

Abstract

Objectives
Lupus anticoagulant (LAC) is typically associated with thrombosis but also rarely with hemorrhage. Some patients exhibit a prozone effect on LAC testing. Antiphosphatidylserine/prothrombin (aPS/PT) antibodies may provide a mechanism for both hemorrhage and prozone effect. Our goal was to evaluate whether antibody specificities, isotypes, and titers were associated with LAC prozone effect, factor II levels, hemorrhage, and thrombosis.

Methods
Patients with prozone effect noted on LAC testing were entered into a database over 3 years. Factor II activity and aPS/PT antibody testing were performed when a sufficient residual sample was available.

Results
All patients with LAC prozone effect and antibody testing were positive for at least 1 class of aPS/PT antibodies. In addition, aPS/PT IgG titers were significantly associated with thrombosis and significantly inversely associated with factor II levels.

Conclusions
In prozone effect patients, aPS/PT antibodies are associated with LAC prozone effect as well as thrombosis and decreased factor II levels.
U-PASS: unified power analysis and forensics for qualitative traits in genetic association studies
Authors: Gao Zheng , Terhorst Jonathan , Van Hout Cristopher V , Stoev Stilian 
Published: August 2019

Abstract

Summary
Despite the availability of existing calculators for statistical power analysis in genetic association studies, there has not been a model-invariant and test-independent tool that allows for both planning of prospective studies and systematic review of reported findings. In this work, we develop a web-based application U-PASS (Unified Power analysis of ASsociation Studies), implementing a unified framework for the analysis of common association tests for binary qualitative traits. The application quantifies the shared asymptotic power limits of the common association tests, and visualizes the fundamental statistical trade-off between risk allele frequency and odds ratio. The application also addresses the applicability of asymptotics-based power calculations in finite samples, and provides guidelines for single-SNP-based association tests. In addition to designing prospective studies, U-PASS enables researchers to retrospectively assess the statistical validity of previously reported associations.

Availability and implementation
U-PASS is an open-source R Shiny application. A live instance is hosted at https://power.stat.lsa.umich.edu. Source is available on https://github.com/Pill-GZ/U-PASS.

Supplementary information
Supplementary data are available at Bioinformatics online.
Variability in the Duration and Thoroughness of Hand Hygiene
Authors: Mumma Joel M , Durso Francis T , Casanova Lisa M , Erukunuakpor Kimberly , Kraft Colleen S , Ray Susan M , Shane Andi L , Walsh Victoria L , Shah Puja Y , Zimring Craig , DuBose Jennifer , Jacob Jesse T 
Published: August 2019

Abstract
We observed 354 hand hygiene instances across 41 healthcare workers doffing personal protective equipment at 4 hospital-based biocontainment units. We measured the duration and thoroughness of each hand hygiene instance. Both parameters varied substantially, with systematic differences between hospitals and differences between healthcare workers accounting for much of the variance.
Factors Associated With Fatality Due to Avian Influenza A(H7N9) Infection in China
Authors: Zheng Shufa , Zou Qianda , Wang Xiaochen , Bao Jiaqi , Yu Fei , Guo Feifei , Liu Peng , Shen Yinzhong , Wang Yimin , Yang Shigui , Wu Wei , Sheng Jifang , Vijaykrishna Dhanasekaran , Gao Hainv , Chen Yu 
Published: August 2019

Abstract

Background
The high case fatality rate of influenza A(H7N9)-infected patients has been a major clinical concern.

Methods
To identify the common causes of death due to H7N9 as well as identify risk factors associated with the high inpatient mortality, we retrospectively collected clinical treatment information from 350 hospitalized human cases of H7N9 virus in mainland China during 2013–2017, of which 109 (31.1%) had died, and systematically analyzed the patients’ clinical characteristics and risk factors for death.

Results
The median age at time of infection was 57 years, whereas the median age at time of death was 61 years, significantly older than those who survived. In contrast to previous studies, we found nosocomial infections comprising Acinetobacter baumannii and Klebsiella most commonly associated with secondary bacterial infections, which was likely due to the high utilization of supportive therapies, including mechanical ventilation (52.6%), extracorporeal membrane oxygenation (14%), continuous renal replacement therapy (19.1%), and artificial liver therapy (9.7%). Age, time from illness onset to antiviral therapy initiation, and secondary bacterial infection were independent risk factors for death. Age &gt;65 years, secondary bacterial infections, and initiation of neuraminidase-inhibitor therapy after 5 days from symptom onset were associated with increased risk of death.

Conclusions
Death among H7N9 virus–infected patients occurred rapidly after hospital admission, especially among older patients, followed by severe hypoxemia and multisystem organ failure. Our results show that early neuraminidase-inhibitor therapy and reduction of secondary bacterial infections can help reduce mortality.
Characterization of 350 hospitalized avian influenza A(H7N9)-infected patients in China shows that age &gt;65 years, secondary bacterial infections, and initiation of neuraminidase-inhibitor therapy after 5 days from symptom onset were associated with increased risk of death.
Gastroenteritis in Men Who Have Sex With Men in Seattle, Washington, 2017–2018
Authors: Newman Kira L , Newman Gretchen Snoeyenbos , Cybulski Robert J , Fang Ferric C 
Published: August 2019

AbstractBackgroundMen who have sex with men (MSM) are at risk for sexual transmission of enteric pathogens. The microbiology of gastroenteritis in MSM has not been examined since the advent of antiretroviral therapy and molecular diagnostics. Our objective was to assess the causes of gastroenteritis among MSM living with and without human immunodeficiency virus (HIV) coinfection in Seattle, Washington.MethodsWe conducted a retrospective cohort study of 235 MSM who underwent multiplex stool polymerase chain reaction (PCR) testing between 1 January 2017 and 1 June 2018. We abstracted clinical and laboratory data from electronic medical records. Parallel or reflexive culture and susceptibility testing were performed when PCR detected cultivable pathogens.ResultsAmong 235 MSM tested (268 episodes), 131 had 151 episodes with positive test results. 148 (63.0%) individuals were living with HIV. Among positive tests, 88.7% detected a bacterial pathogen, 26% a virus, and 40% a parasite. Diarrheagenic Escherichia coli (enteroaggretative, enteropathogenic), Shigella, and Campylobacter were the most commonly detected bacteria (33.1%, 30.5%, and 17.2% of positive samples, respectively). Forty-three percent of positive specimens had ≥2 pathogens. Etiologies and clinical presentations were similar between men living with and without HIV. Cultured Shigella and Campylobacter isolates were frequently resistant to multiple antibiotics.ConclusionsMSM present with gastroenteritis from varied pathogens, including some not detected by conventional stool culture. High levels of antibiotic resistance are consistent with frequent antibiotic exposure in this population and the transmission of multiresistant strains. New approaches are needed to detect, treat, and prevent enteric infections in MSM.
Attention Dynamics During Emotion Recognition by Deaf and Hearing Individuals
Authors: Krejtz Izabela , Krejtz Krzysztof , Wisiecka Katarzyna , Abramczyk Marta , Olszanowski Michał , Duchowski Andrew T 
Published: August 2019

AbstractThe enhancement hypothesis suggests that deaf individuals are more vigilant to visual emotional cues than hearing individuals. The present eye-tracking study examined ambient–focal visual attention when encoding affect from dynamically changing emotional facial expressions. Deaf (n = 17) and hearing (n = 17) individuals watched emotional facial expressions that in 10-s animations morphed from a neutral expression to one of happiness, sadness, or anger. The task was to recognize emotion as quickly as possible. Deaf participants tended to be faster than hearing participants in affect recognition, but the groups did not differ in accuracy. In general, happy faces were more accurately and more quickly recognized than faces expressing anger or sadness. Both groups demonstrated longer average fixation duration when recognizing happiness in comparison to anger and sadness. Deaf individuals directed their first fixations less often to the mouth region than the hearing group. During the last stages of emotion recognition, deaf participants exhibited more focal viewing of happy faces than negative faces. This pattern was not observed among hearing individuals. The analysis of visual gaze dynamics, switching between ambient and focal attention, was useful in studying the depth of cognitive processing of emotional information among deaf and hearing individuals.