bluuebunny/crossref_metadata_2025_split huggingface dataset:
The spatial connection network pattern of urban agglomerations in the Pearl River Delta
Authors: Zhou Chenjie , Liu Zhiqian , Li Peihong 
Published: July 2021

Abstract
Urban agglomeration is a spatial form of highly developed comprehensive cities and an important driving force for regional economic development. Based on the data of highways, regular-speed trains, high-speed trains and Baidu index data among 9 cities in the Pearl River Delta, this paper uses spatial visualization and social network analysis to study the spatial connections and network patterns of urban agglomerations from multi-factor flows. The results show that the spatial connection between cities in the Pearl River Delta mainly radiates outward from Guangzhou, Shenzhen and Dongguan, and connects with the network formed by secondary cities such as Foshan, Huizhou and Jiangmen. A multi-core development urban network pattern is formed by an absolute core circle and a peripheral low-density circle. The core circle is consist of Guangzhou-Shenzhen-Dongguan, and the low-density circle is consist of 6 city nodes with low degree value. The development of regional integration can strengthen the cooperation and exchange among cities, and it also can optimize the spatial structure of the urban agglomeration network.
Research on Computer Two-dimensional Animation Creation Tools and Processing and Editing Technology
Authors: Zheng Xiaoqing 
Published: July 2021

Abstract
This article analyzes the creation process of two-dimensional computer animation. The research content of this paper includes key frame generation, production of intermediate images, layered production, coloring and rehearsal processing, reasonable use of library images, combined with specific applications of authoring tools such as Flash software, animo software, TOONZ software, and FlipBook software. The author studies the specific application of computer two-dimensional animation processing and editing technology. The purpose of this article is to optimize the process of computer two-dimensional animation creation and improve the application effect of the two-dimensional animation produced.
Research on Application of Computer 3D Modeling Technology in Ceramic Tea Set Design
Authors: Zheng Dongmei 
Published: July 2021

Abstract
In this paper, the concept of computer modeling technology is first analyzed, and then several common instruction commands in computer 3D modeling are expounded. Finally, the application of advanced and basic modeling techniques in ceramic tea set design is analyzed in depth, including detailed discussion and planning on lofting modeling, turning modeling and extrusion modeling. Based on the present situation of ceramic tea set design in China, computer 3D modeling technology is introduced into it, which makes the ceramic tea set design perfect in the development.
Human pose estimation based on Improved High Resolution Network
Authors: Bao Ying , Zhang Manlin , Guo Xiaoming 
Published: July 2021

Abstract
Human pose estimation has become a hot problem in human-computer interaction and other intelligent application technologies, but the results obtained by previous deep learning networks are not very satisfactory when facing small-scale human instances. Therefore, in order to solve the problem of scale variation in human pose estimation, especially to pinpoint the keypoints of small-scale human instances, an improved High-Resolution Network (Improved HRNet) is proposed in this paper. The main improvement work in this paper is as follows: In this paper, a double attention mechanism is added in the forward transmission of the parallel sub-network, with the aim of assigning weights to the propagated information without changing the number of channels, assigning the information with high weights as useful information and reducing the interference caused by irrelevant information. In this paper, the network structure is validated using COCO dataset, and the average accuracy (Average Precision, AP) of Improved HRNet is 66.4, which is 2.3 higher than the average accuracy of High-Resolution Network (HRNet) with only 0.4% increase in parameters.
Multi-scale Salient Features for Person Re-identification
Authors: Dong Yachao , Liu Hongzhe 
Published: July 2021

Abstract
Person re-identification is a technology that uses computer vision to match and retrieve the same target person across cameras, which has a wide range of applications in the fields of intelligent video surveillance, intelligent security, and unmanned driving. Aiming at the problem of low accuracy caused by complex background information, occlusion and other factors in person re-identification, the extracted features are not discriminative and robust, resulting in low accuracy, a person re-identification method based on multi-scale saliency features is proposed. Firstly, the saliency detection is used to extract the distinctive feature areas with discriminative power in person, so that the features of distinguishing person inages are more prominent. Secondly, these saliency features are merged with global features and the fused features are divided into different scales, and the global features are divided into three different scales to enhance the expression of features. Finally, according to the difference of global and local features, three kinds of loss functions are combined for learning. In the inference stage, the global feature and the local feature are fused into a new feature vector for metric learning. The proposed method has been used in the person re-identification public datasets Market1501 and DukeMTMC-reID to do a lot of effective verification experiments. The experimental results show that the features extracted by the proposed method have strong distinguishability and robustness.
Influence of Oceanic Parameters on Aquarius L-Band Sea Surface Emissivity
Authors: Li Yanyan , Wang Zhenzhan , Hu Yiqiang , Tong Xiaolin 
Published: July 2021

Abstract
A systematic assessment of the effects of various oceanic parameters on sea surface emissivity based on Aquarius measurements is presented in this paper. The results show that the influence of wind speed on wind-driven emissivity increment ΔE is most significant. The magnitude of change in ΔE related to W can be as large as 8.02 K. The wind direction signal has been found to be small at low and moderate wind speeds, whereas it is significant at high wind speed and reaches a maximum of 1.37 K at 22.5 m/s. The influence of backscatter under HH polarization is notable and as large as, or larger than backscatter under VV polarization. The effects of the SST and SWH on ΔE are relatively small with the max magnitude of change in ΔE of 0.86 K and 0.49 K, respectively. Furthermore, strong correlations are found among wind speed, microwave backscatter under VV and HH polarization, which are higher than ninety percent. Therefore, the decorrelation of oceanic parameters is recommended to be considered in the process of emissivity correction because of the high correlations among oceanic parameters.
Research on Reliability Demonstration of Naval Gun Weapon System
Authors: Sun Shiyan , Tu Jichao , Li Chunlai 
Published: July 2021

Abstract
Combined with the relevant national military standards, this paper analyzes the problems existing in the selection and determination of the reliability index of naval gun weapon system, and puts forward the determination method of the basic reliability of naval gun equipment and the threshold value and target value of the mission reliability combined with the life profile and mission profile of Naval gun equipment. This method has a certain reference significance for the reliability design of naval gun equipment in the development stage, and the research of this paper has a certain practical value.
Research on Reliability of Information Push Robot Based on Image Self-learning
Authors: Xong Qi 
Published: July 2021

Abstract
In order to improve the intelligent control ability of information push robot, an output reliability control method of information push robot based on image self-learning is proposed. The parameter identification model of robot output reliability positioning is constructed, and the pose correction and adaptive adjustment of information push robot are carried out by combining fuzzy constraint parameter control method. Adaptive learning control law is adopted to carry out adaptive feedback correction of robot spatial distribution parameter error under computer image vision, and computer image vision information tracking fusion method is adopted to realize adaptive positioning and fuzzy control of information push robot, and improve the ability of pose correction and error feedback adjustment. The simulation results show that the output reliability control accuracy of the information push robot is high and the adaptive control ability is good.
Mobile Robot Full Ergodic Path Planning Algorithm for Power Equipment Fault Detection
Authors: Zhang Xiaoye , Xie Zhiwen , Wu Hui 
Published: July 2021

Abstract
In order to reduce the abnormal operation of mobile robot caused by collision, a full ergodic path planning algorithm for power equipment fault detection is proposed. Based on the grid method, the workspace of the robot is divided, and the mathematical model of path planning is established. The bb-pso algorithm is introduced to calculate the path. On this basis, the mutation operator is used as the optimization iteration power of the bb-pso algorithm. Therefore, the collision avoidance calculation is carried out to improve the feasibility of the path. The simulation results show that the distance between the path and the obstacles of the proposed algorithm is basically stable between 30-40 cm, and the fluctuation range of the path running time is only 3 min, the average time is 40 min, which has high feasibility.
Development and characterization of polyethylene and deuterated polyethylene targets for nuclear physics experiments
Authors: Mondal Saha R. , Banerjee K. , Manna S. , Kundu S. , Rana T.K. , Gayathri N. , Mukherjee G. , Karmakar P. , Ghosh T.K. , Roy P. , Pandey R. , Sen A. , Saha A. , Bhattacharya C. 
Published: July 2021

Abstract
Self-supported polyethylene and deuterated polyethylene targets of thickness in the range of 0.3 mg/cm2 to 2.5 mg/cm2 were prepared using the solvent casting technique. A quantitative estimation of material required for the solvent casting technique has been presented. Overall target preparation time has been reduced from the earlier reported methods. Comparative studies between polyethylene of the two different isotopes (hydrogen/deuterium) were performed in terms of their different characteristic properties e.g. target thickness, uniformity in the target thickness, infrared transmission and melting temperature. The effect of deuteration is clearly seen in the infrared transmission and melting point of the polyethylene, which may have potential applications in other fields of research. Target prepared in this work has been used for an in-beam experiment, where yield of the deuteron produced is found to be sensitive to the hydrogen isotope present in the polyethylene target.
The Venting System for Ultrahigh Pressure Sulfur Gas Wells in the Northwestern Sichuan Basin
Authors: Jiang Tao 
Published: July 2021

Abstract
Due to the high pressure, large gas handling capacity and high acid medium content in the development and construction of high-pressure sour gas fields, the conventional venting system cannot meet the demand of production. By investigating the relevant standards and specifications of natural gas venting system at home and abroad, the main methods and principles that should be followed in the design process of the venting system of ultra-high pressure sour gas wells are summarized. Combined with the technological characteristics of venting and venting of ultra-high pressure sour gas wells, the two technological processes are integrated, and the integrated venting/venting process of ultra-high pressure sour gas wells is obtained.
Effect of freeze-thaw treatment on the quality and flavor of Nang
Authors: Shuping Zou , Ju Qiu , Xintao Meng , Yina Meng , Yan MA , Mingqiang XU , Qian Zhang 
Published: July 2021

Abstract
Freezing processing has been used widely to improve the sensory quality and solve the problems induced by fungi. In this study, the effects of frozen temperature (−20, −30, −40, −50, −60°C), frozen time (30, 40, 50, 60, 70 min), thawing temperature (25, 30, 35, 40, 45°C) and thawing time (10, 15, 20, 25, 30 min) on sensory quality, texture characteristics and flavor of Nang were studied. The results showed that the order of the factors affecting the sensory quality of Nang was frozen temperature > thawing time > frozen time > thawing temperature. The optimum processing conditions were to freeze at −50°C for 50 min and thaw at 40°C for 20 min. The correlation analysis between sensory quality and texture profile analysis (TPA) showed that the highest or the lowest TPA values of the core and edge of Nang did not correspond to the best sensory quality. Frozen treatment affected the characteristic flavor of Nang obviously. There were 15 of flavor substances with a significant increase or decrease among the 41 characteristic ones identified. This study is of great significance for the production and promotion of traditional staple food in Xinjiang.
Antifungal activity screening for 32 essential oils against Rhizopus stolonifer
Authors: Xie Yongdong , Jiang Linhong , Li Juan , Zhu Jiawen , Tu Caihong , Guo Qiliang , Liu Ji 
Published: July 2021

Abstract
In order to screen out essential oils with better inhibitory effects on Rhizopus stolonifera and their appropriate concentrations, an in vitro antibacterial and drug susceptibility tests was conducted to determine the effects of 32 essential oils on the growth of grape R. stolonifera. The results showed that 1000 μl/L of clove, geranium, agilawood and lovage essential oils could completely inhibit the growth of R. stolonifera within 48 hours. Through follow-up verification, it was found that 1000 μl/L of clove, geranium and lovage essential oils had a continuous inhibitory effect on the growth of R. stolonifera, and the inhibition rate was continuing to 100% from 2 to 8 days. When the concentration was 250 μl/L, only lovage essential oil had high inhibition rate. Therefore, lovage essential oil can effectively inhibit the growth of R. Stolonifer on grape, and the appropriate concentration should not be less than 250 μL/L.
Analysis of alcohol dehydrogenase activity and fermentation characteristics of Acetobacter pasteurianus JST-S strain
Authors: Pu Shunchang , Wu Xuefeng , Yao Hongli , Li Xingjiang , Zheng Zhi , Jiang Shaotong 
Published: July 2021

Abstract
Alcohol dehydrogenase activity (ADH), acetic acid yield, and tolerance to temperature and acid-induced stress are important bacterial strain parameters for the industrial production of acetic acid or vinegar. In this study, we evaluated and compared multiple features between A. pasteurianus JST-S strain, screened in the laboratory, and A. pasteurianus CICC 20001, a commonly used industrial strain. The ADH enzyme activity peaked at 8.22 U mg−1 for JST-S compared with the 7.62 U mg−1 for CICC 20001. Further, the ADH protein level was higher in JST-S than in the CICC 20001 strain. Comparative analysis of growth and cell morphology of the two strains indicated that the acetic acid tolerance of JST-S is superior to that of CICC 20001. Further, when the two strains were used for semi-continuous fermentation in 4 batches, the total acid production in fermentation broth with the JST-S peaked at 62.96 ± 1.42 g L−1 compared with 56.83 ± 1.12 g L−1 for the CICC 20001 strain. Thus, the JST-S strain seems to have better fermentation characteristics than the commonly used industrial strain. Based on all our observations, we propose that A. pasteurianus JST-S may be applied for cost-effective industrial production to obtain a high concentration of acetic acid.
Theory of Planned Behavior Analysis of Social Distancing During the COVID-19 Pandemic: Focusing on the Intention–Behavior Gap
Authors: Gibson Laurel P , Magnan Renee E , Kramer Emily B , Bryan Angela D 
Published: July 2021

Abstract

Background
As COVID-19 continues to spread globally, it is important to understand psychological factors that may influence compliance with social distancing.

Purpose
The present study examined whether Theory of Planned Behavior (TPB) constructs were associated with social distancing, with a focus on exploring moderators of the intention–behavior relationship.

Methods
Using a longitudinal design, U.S. adults (N = 507) self-reported TPB constructs and social distancing behavior at baseline and 3 months later. Participants were from 48 U.S. States and the District of Columbia and were on average 50.39 years old (SD = 15.32, range = 18–80). The majority were Non-Hispanic White (71.6%), had a bachelor’s degree or higher (55.3%), and resided in suburban areas (55.8%).

Results
While positive attitudes toward social distancing increased over time (p = .002), subjective norms weakened (p &lt; .001) and perceived behavioral control (PBC) remained stable (p = .22). Interestingly, despite an increase in intentions from baseline to follow-up (p &lt; .001), there was a significant decrease in social distancing behavior over time (p &lt; .001). Consistent with the TPB, baseline attitudes (p &lt; .001), subjective norms (p &lt; .001), and PBC (p &lt; .001) for social distancing were all associated with baseline intentions to social distance. In turn, baseline intentions were significantly associated with social distancing behavior at follow-up (p &lt; .001). Younger adults (p &lt; .001) and non-White participants (p = .002) displayed a greater intention–behavior gap relative to older and White participants. In contrast, participants with more stable intentions over time displayed a stronger intention–behavior relationship (p &lt; .001).

Conclusions
Targeting individuals’ attitudes, norms, and PBC may effectively promote protective behaviors intended to mitigate the spread of COVID-19 and similar viral outbreaks. Future research should examine effective strategies for translating social distancing intentions into actions.
Applying the RISE Model of Resilience in Partners Post-Stroke: A Qualitative Analysis
Authors: Anderson Miranda A , Buffo Corinne , Ketcher Dana , Nguyen Hop , MacKenzie Justin J , Reblin Maija , Terrill Alexandra L 
Published: July 2021

AbstractBackgroundResilience is dynamic and influenced by internal and external factors. In persons with chronic illness and/or disability, resilience is viewed as the ability to adapt to new life circumstances. Existing models of resilience typically focus on the absence of deficit and pathology in the individual, overlooking resources, well-being, and broader social impacts. Our proposed novel Relational, Intrapersonal, Social and Environmental (RISE) Model of resilience incorporates and describes the interconnection and influence of constructs that impact resilience and affect the quality of life.PurposeThe purpose of this study is to examine the fit of the RISE Model against original interview data obtained from persons with stroke and their partners.MethodsThis study is a secondary analysis of qualitative data collected from post-intervention interviews that were part of an intervention pilot study designed to promote resilience in couples coping with stroke. Interviews were coded to examine relationships between RISE Model constructs.ResultsThe study included 36 interviews from 18 cohabitating couples; mean participant age was 53.33 years (SD ±14.70). Examples of each construct within the RISE Model appeared in transcribed interviews and common patterns of co-occurring constructs were identified.ConclusionThe constructs within the RISE Model were supported by the interviews. The impact of disability does not remain confined to a single individual and instead branches out into the broader social context, including close interpersonal relationships. A deeper understanding of resilience and its relationship with intrapersonal, interpersonal and socio-ecological constructs would add value to our understanding and fostering of resilience in persons with disabilities and/or chronic illness.Clinical Trial informationNCT03335358.
Sarcopenia is associated with 3-month and 1-year mortality in geriatric rehabilitation inpatients: RESORT
Authors: Xu Jane , Reijnierse Esmee M , Pacifico Jacob , Wan Ching S , Maier Andrea B 
Published: July 2021

Abstract

Background
Sarcopenia is highly prevalent in geriatric rehabilitation patients and can worsen prognosis. This study aimed to investigate the association of sarcopenia and components of sarcopenia with 3-month and 1-year post-discharge mortality in geriatric rehabilitation inpatients.

Methods
REStORing health of acutely unwell adulTs (RESORT) is an observational, prospective longitudinal cohort of geriatric rehabilitation inpatients. Sex-stratified Cox proportional-hazards analyses were used to associate sarcopenia (and its components) at admission, by the European Working Group on Sarcopenia in Older People (EWGSOP, EWGSOP2) and the Asian Working Group for Sarcopenia 2019 (AWGS 2019), with 3-month and 1-year post-discharge all-cause mortality.

Results
Patients (n = 1,406) had a median interquartile ranges [IQR] age of 83.0 [77.4–88.2] years (58% females). Sarcopenia was significantly associated with 3-month and 1-year mortality in females (EWGSOP, EWGSOP2 and AWGS 2019) and males (EWGSOP2, AWGS 2019). In females, low muscle mass (EWGSOP, EWGSOP2 and AWGS 2019) was significantly associated with 3-month and 1-year mortality; low muscle strength (EWGSOP, EWGSOP2 and AWGS 2019) was significantly associated with 1-year mortality. For males, low muscle mass (EWGSOP2, AWGS 2019) was significantly associated with 3-month and 1-year mortality; low muscle strength (EWGSOP2, AWGS 2019) was significantly associated with 3-month mortality. The association between physical performance with mortality was not analysed due to less than five events (death) in patients with normal physical performance.

Conclusions
Sarcopenia, low muscle mass and low muscle strength at admission are associated with a significantly higher risk of mortality post-discharge from geriatric rehabilitation, highlighting the need to measure muscle mass and strength in clinical practice.