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Article ; Online: RETRACTED

Xiaoli Liu

International Journal of Advanced Robotic Systems, Vol

Research on decision-making strategy of soccer robot based on multi-agent reinforcement learning

2020 Volume 17

Keywords	Electronics ; TK7800-8360 ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-Head TrajectoryCNN

Xiaoli Liu / Jianqin Yin

Applied Sciences, Vol 12, Iss 5381, p

A New Multi-Task Framework for Action Prediction

2022 Volume 5381

Abstract: Action prediction is an important task in human activity analysis, which has many practical applications, such as human–robot interactions and autonomous driving. Action prediction often comprises two subtasks: action semantic prediction and future human ...

Abstract	Action prediction is an important task in human activity analysis, which has many practical applications, such as human–robot interactions and autonomous driving. Action prediction often comprises two subtasks: action semantic prediction and future human motion prediction. Most of the existing works treat these subtasks separately, ignoring the correlations, leading to unsatisfying performance. By contrast, we jointly model these tasks and improve human motion predictions utilizing their action semantics. In terms of methodology, we propose a novel multi-task framework (Multi-head TrajectoryCNN) to simultaneously predict the action semantics and human motion of future human movements. Specifically, we first extract a general spatiotemporal representation of partial observations via two regression blocks. Then, we propose a regression head and a classification head for predicting future human motion and action semantics of human motion, respectively. For the regression head, another two stacked regression blocks and two convolutional layers are applied to predict future poses from the general representation learning. For the classification head, we propose a classification block and stack two regression blocks to predict action semantics from the general representation. In this way, the regression and classification heads are incorporated into a unified framework. During the backward propagation of the network, the human motion prediction and the semantic prediction may be enhanced by each other. NTU RGB+D is a widely used large-scale dataset for action recognition, which was collected by 40 different subjects from three views. Based on the official protocols, we use the skeletal modality and process action sequences with fixed lengths for the evaluation of our action prediction task. Experiments on NTU RGB+D show our model’s state-of-the-art performance. Furthermore, the experimental results also show that semantic information is of great help in predicting future human motion.
Keywords	action prediction ; human motion prediction ; multi-task framework ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	629
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analysis of the Mediating Role of Psychological Empowerment between Perceived Leader Trust and Employee Work Performance

Xiaoli Liu / Xiaopeng Ren

International Journal of Environmental Research and Public Health, Vol 19, Iss 6712, p

2022 Volume 6712

Abstract: High levels of trust between employees and leaders moderate the relationship between organizational management practices. A collaborative environment encourages employees to have more Psychological Empowerment, which in turn leads to better performance. ... ...

Abstract	High levels of trust between employees and leaders moderate the relationship between organizational management practices. A collaborative environment encourages employees to have more Psychological Empowerment, which in turn leads to better performance. Based on Intrinsic Work Motivation and Self-Evaluation, this paper uses Perceived Leader Trust as an independent variable, Employee Work Performance as a dependent variable, and introduces Psychological Empowerment to explore the internal mechanism of perceived trust. This paper proposes a total of 28 hypotheses, and 25 hypotheses have been verified. The specific research conclusions are as follows: (1) Perceived Leader Trust has a positive impact on Employee Work Performance. (2) Perceived Leader Trust positively affects employees’ Psychological Empowerment. Perceived Leader Dependence has a significant impact on all dimensions of Psychological Empowerment, but the relationship between Perceived Information Disclosure and Work Meaning is not significant. (3) Psychological Empowerment is positively correlated with Employee Work Performance, in which the four dimensions of Psychological Empowerment are significantly related to Employee Task Performance, while Work Meaning and Autonomy are not significantly related to Employee Relationship Performance. (4) Psychological Empowerment, as the overall perception of employees, plays a partial mediating role between Perceived Leader Trust and Employee Work Performance. This paper verifies the role of Psychological Empowerment between Perceived Leader Trust and Employee Work Performance, and explores the internal mechanism of Perceived Leader Trust from the perspective of employees’ Intrinsic Work Motivation, which promotes the development of organizational management practices.
Keywords	psychological empowerment ; perceived leader trust ; employee work performance ; intrinsic work motivation ; perceived leader dependence ; employee relationship performance ; Medicine ; R
Subject code	650
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Biofilm Formation and Control of Foodborne Pathogenic Bacteria

Xiaoli Liu / Huaiying Yao / Xihong Zhao / Chaorong Ge

Molecules, Vol 28, Iss 2432, p

2023 Volume 2432

Abstract: Biofilms are microbial aggregation membranes that are formed when microorganisms attach to the surfaces of living or nonliving things. Importantly, biofilm properties provide microorganisms with protection against environmental pressures and enhance ... ...

Abstract	Biofilms are microbial aggregation membranes that are formed when microorganisms attach to the surfaces of living or nonliving things. Importantly, biofilm properties provide microorganisms with protection against environmental pressures and enhance their resistance to antimicrobial agents, contributing to microbial persistence and toxicity. Thus, bacterial biofilm formation is part of the bacterial survival mechanism. However, if foodborne pathogens form biofilms, the risk of foodborne disease infections can be greatly exacerbated, which can cause major public health risks and lead to adverse economic consequences. Therefore, research on biofilms and their removal strategies are very important in the food industry. Food waste due to spoilage within the food industry remains a global challenge to environmental sustainability and the security of food supplies. This review describes bacterial biofilm formation, elaborates on the problem associated with biofilms in the food industry, enumerates several kinds of common foodborne pathogens in biofilms, summarizes the current strategies used to eliminate or control harmful bacterial biofilm formation, introduces the current and emerging control strategies, and emphasizes future development prospects with respect to bacterial biofilms.
Keywords	foodborne pathogens ; food safety ; biofilm ; resistance ; quorum-sensing ; Organic chemistry ; QD241-441
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Glycopolymers for Antibacterial and Antiviral Applications

Ruoyao Mei / Xingyu Heng / Xiaoli Liu / Gaojian Chen

Molecules, Vol 28, Iss 985, p

2023 Volume 985

Abstract: Diseases induced by bacterial and viral infections are common occurrences in our daily life, and the main prevention and treatment strategies are vaccination and taking antibacterial/antiviral drugs. However, vaccines can only be used for specific viral ... ...

Abstract	Diseases induced by bacterial and viral infections are common occurrences in our daily life, and the main prevention and treatment strategies are vaccination and taking antibacterial/antiviral drugs. However, vaccines can only be used for specific viral infections, and the abuse of antibacterial/antiviral drugs will create multi−drug−resistant bacteria and viruses. Therefore, it is necessary to develop more targeted prevention and treatment methods against bacteria and viruses. Proteins on the surface of bacteria and viruses can specifically bind to sugar, so glycopolymers can be used as potential antibacterial and antiviral drugs. In this review, the research of glycopolymers for bacterial/viral detection/inhibition and antibacterial/antiviral applications in recent years are summarized.
Keywords	glycopolymer ; antibacterial ; antivirus ; lectin ; inhibition ; detection ; Organic chemistry ; QD241-441
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The numerical study on the sensitivity of different auto-conversion parameterization to CCN concentration

Yi Li / Xiaoli Liu / Chaoyu Yuan

Frontiers in Environmental Science, Vol

2023 Volume 11

Abstract: The auto-conversion from cloud droplet to raindrop is a process whereby rain drops formed by collision-coalescence of cloud droplets. As an essential link connecting aerosol-cloud interaction, it significantly influences the changes in cloud morphology ... ...

Abstract	The auto-conversion from cloud droplet to raindrop is a process whereby rain drops formed by collision-coalescence of cloud droplets. As an essential link connecting aerosol-cloud interaction, it significantly influences the changes in cloud morphology and precipitation. In order to explore the sensitivity of auto-conversion schemes to cloud condensation nuclei (CCN) concentration, using the auto-conversion scheme in the Thompson scheme (TH-AU) and Milbrandt-Yau scheme (MY-AU), we set four groups of CCN concentrations to simulate a strong convection process in Ningxia region of China. The results show that: The sensitivity of different auto-conversion schemes to changes in CCN concentrations varies significantly, and the aerosol-induced changes in precipitation and convection strongly depend on the auto-conversion scheme. With the increase of CCN concentration, the mixing ratio of cloud droplets increases, and the particle size decreases, resulting in a decrease in the auto-conversion intensity for the two schemes, which makes more supercooled water participate in the ice phase process. Compared with the TH-AU, the MY-AU has lower auto-conversion intensity at the same CCN concentration, the proportion of supercooled cloud droplets participating in the ice phase process is higher than that in the TH-AU, which leads to the raindrop mixing ratio of 4000–6000 m in MY-AU is lower than that in TH-AU at the same CCN concentration, and the mixing ratio of ice phase particles in MY-AU scheme is higher in the convective mature stage, especially snow and graupel particles, and the graupel particle generation height of MY-AU is lower than that of TH-AU. In terms of dynamic structure, with the increase of CCN concentration, more cloud droplets are activated and frozen which makes the enhancement of updraft mainly occur in the upper layer in both schemes, but the stronger gravitational drag caused by graupel particles in MY-AU may enhance the downdraft in the middle and lower layers, which makes the convection of MY-AU decay ...
Keywords	auto-conversion parameterization ; CCN concentration ; numerical simulation ; convection ; microphysical process ; Environmental sciences ; GE1-350
Subject code	660 ; 290
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Construction and application of standardized training effect evaluation system for new nurses in operating room

Xiaoli Liu / Yanshu Wei / Jin Pei / Xiaozhou Wu

Health Care Science, Vol 2, Iss 6, Pp 392-

2023 Volume 399

Abstract: Abstract Background This study aims to develop and validate a Structured Training Effectiveness Evaluation (STEE) tool based on the Kirkpatrick model for newly graduated registered nurses in the operating room in China. Methods The first phase will ... ...

Abstract	Abstract Background This study aims to develop and validate a Structured Training Effectiveness Evaluation (STEE) tool based on the Kirkpatrick model for newly graduated registered nurses in the operating room in China. Methods The first phase will involve focus group and individual interviews with nursing educators and newly graduated registered nurses selected using purposive sampling. The data will be analyzed thematically to identify key components necessary to develop the STEE tool. The second phase will develop and validate the STEE tool through a panel of experts using the Delphi method. The item weights will be determined with the analytic hierarchy process technique. The third phase will involve implementation and evaluation of the STEE tool with an exploratory, nonexperimental, and comparative analysis. Descriptive and inferential statistical analyses will be performed with SPSS version 23. Results The STEE tool for newly graduated registered nurses in the operating room will be useful for evaluating training effectiveness during standardized training. The results obtained with this tool will clarify the effectiveness of training, thereby helping transform nursing students into competent nurses. Conclusion In this way, this study will provide practical guidance for improving standardized training programs and help newly graduated nurses manage their transition to the clinical work environment and remain in their posts.
Keywords	operating room nurse ; new nurses ; standardized training ; evaluation system ; Kirkpatrick model ; Public aspects of medicine ; RA1-1270
Subject code	020
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Role of Fluid Overpressure on the Fracture Slip Mechanism Based on Laboratory Tests That Stimulating Reservoir-Induced Seismicity

Yujie Zhu / Chen Xu / Danqing Song / Xiaoli Liu / Enzhi Wang

Applied Sciences, Vol 13, Iss 3382, p

2023 Volume 3382

Abstract: A critically stressed fracture will slide in response to the increase in fluid pressure inside the fracture while impounding, which will trigger induced seismicity. The mechanism of fluid overpressure is regarded as a significant factor in the reaction ... ...

Abstract	A critically stressed fracture will slide in response to the increase in fluid pressure inside the fracture while impounding, which will trigger induced seismicity. The mechanism of fluid overpressure is regarded as a significant factor in the reaction of the fracture slip after water diffusing. This study uses a shearing test with a cylinder of granite, with 100 mm height and 50 mm diameter, under the condition of hydraulic-mechanic (HM) coupling to figure out how fluid overpressure alters the mechanical behavior of the critically stressed fracture. The cyclic water pressurization simulates periodical impounding in the water reservoir. Results show that several slip events happen when water pressure continues to rise higher than the stable state. The change of roughness also indicates the deterioration of the fracture surface while sliding. According to the results, we conclude that the difference between inlet pressure and outlet pressure leads to an overpressure of the fracture, promoting a series of slips and induced seismicity. Hydraulic energy is introduced to explain the relationship between the input and output energy, which is also strong evidence to illustrate that fluid overpressure is a crucial mechanism in reservoir-induced seismicity.
Keywords	reservoir-induced seismicity ; shearing test ; overpressure ; hydraulic energy ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	550
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Design of Robust Sparse Wideband Beamformers with Circular-Model Mismatches Based on Reweighted ℓ 2,1 Optimization

Yu Bao / Haixiao Zhang / Xiaoli Liu / Yuhan Jiang / Yu Tao

Remote Sensing, Vol 15, Iss 4791, p

2023 Volume 4791

Abstract: Wideband beamformers have been widely studied in wireless communication, remote sensing and so on. Generally speaking, to improve the spatial filtering ability of beamformers, there usually needs more sensors, which implies increased computational ... ...

Abstract	Wideband beamformers have been widely studied in wireless communication, remote sensing and so on. Generally speaking, to improve the spatial filtering ability of beamformers, there usually needs more sensors, which implies increased computational complexity and hardware costs. Besides that, wideband beamformers are known to be exceedingly sensitive to sensor mismatches in practice. Nevertheless, there is still a gap in research on the design of robust sparse wideband beamformers. In this paper, a two-step design of this topic is proposed. Firstly, a robust design based on the worst-case performance optimization (WCPO) using circular-model (CM) sensor mismatches is reformulated to address shortcomings of constraint sensitivity. Secondly, inspired by the joint sparse technology in compressive sensing theory, we focus on the sparse design of wideband beamformer. The constraints for the response characteristics and robustness are set from first step, and an iterative algorithm based on reweighted <semantics> ℓ 2 , 1 </semantics> optimization is adopted to achieve maximum sparsity of the sensor array. The mainly advantages of the work are that the proposed design exhibits accordant performance in terms of response and robustness, but few sensors compared with the counterpart with uniform array. Moreover, we surprisingly find that the optimized sparse array is also applicable to other design based on WCPO criterion. Simulation results are provided to verify the superior of the proposed methods compared to the existing counterparts.
Keywords	wideband beamformers ; sensor arrays ; worst-case performance optimization ; robustness ; sparse array ; Science ; Q
Subject code	670
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The influence of saturation and loading angle on sandstone damage characteristics after freeze-thaw cycle

Shihao Yuan / Jiaxu Jin / Xiaoli Liu / Shaohua Li / Bing Liang

Geomatics, Natural Hazards & Risk, Vol 14, Iss

2023 Volume 1

Abstract: AbstractThe strength deterioration and fracture tendency of freeze-thaw rock determine the construction and operation safety of rock engineering. This article conducted compression-shear composite load tests on sandstones with various saturations to ... ...

Abstract	AbstractThe strength deterioration and fracture tendency of freeze-thaw rock determine the construction and operation safety of rock engineering. This article conducted compression-shear composite load tests on sandstones with various saturations to examine the failure law of rocks in cold climates and the contributing elements of strength degradation. It was found that with an increase in saturation and loading angle, the compressive strength and elastic modulus dropped. The concept of freeze crack threshold and saturation threshold was proposed. The peak shear stress was negatively correlated with saturation and positively correlated with loading angle. The σCI (crack initiation stress) and σCD (crack damage stress) in the saturated state were only 39.91% and 45.18% of those in the dry state. Serious damage occurred at high saturations, which is consistent with the scanning electron microscopy results. The σCI and σCD under 30°loading angle are 49.72% and 42.91% of those under uniaxial, respectively. This is mainly due to the change of the failure mode from tensile-shear failure to combined tension-shear failure, and finally to single-shear failure. A strength prediction model was established based on sandstone damage characteristics. The research results have important reference value for rock engineering design in frigid climates and complex load environments.
Keywords	Freeze-thaw sandstone ; saturation ; loading angle ; damage characteristics ; prediction model ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
Subject code	690 ; 669
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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