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Article ; Online: Research on Multi-Sensor Data Fusion Positioning Method of Unmanned Ships Based on Threshold- and Hierarchical-Capacity Particle Filter

Yi Shen / Zeyu Zhao / Mingxin Yuan / Sun Wang

Applied Sciences, Vol 13, Iss 10390, p

2023 Volume 10390

Abstract: To improve the positioning accuracy of unmanned ships, a multi-sensor system including ZigBee, a Global Positioning System (GPS), and BeiDou Navigation Satellite System (BDS) is constructed, and an adaptive multi-sensor data fusion positioning method ... ...

Abstract	To improve the positioning accuracy of unmanned ships, a multi-sensor system including ZigBee, a Global Positioning System (GPS), and BeiDou Navigation Satellite System (BDS) is constructed, and an adaptive multi-sensor data fusion positioning method based on the threshold and hierarchical capacity particle filter (TCPF) is designed. First, the ZigBee-GPS/BDS multi-sensor measurement data is preprocessed to achieve a consistent space–time reference and transformed into the same coordinate system by projection. Then, the fault data is weighted and corrected through the consistency inspection of ZigBee-GPS/BDS multi-sensor positioning data, and the corresponding confidence factor is given according to the confidence distance of the positioning data; furthermore, the confidence factor is associated with stratified sampling. After that, the multi-sensor positioning data is filtered and denoised using a basic particle filter. Finally, a TCPF data fusion algorithm is designed, and the navigation positioning data of the unmanned ship is fused and filtered to obtain its positioning information. Numerical tests show that compared with other filtering algorithms, the mean square root error and standard deviation of the proposed TCPF algorithm decrease by an average of 25.0% and 28.0%, respectively, which verifies its high filtering accuracy and its advantages in suppressing particle degradation and avoiding sample scarcity. The experimental tests show that compared with other fusion algorithms, the proposed TCPF algorithm can not only realize the precise positioning during unmanned ship navigation, but also in the positioning and fault tolerance test, the average positioning error, root-mean-square error, and standard deviation of the former decrease by 36.0%, 38.0%, and 37.0%, respectively, and the corresponding performance indicators of the latter decrease by an average of 20.0%, 19.5%, and 17.5%, which verifies that it has the advantages of high data reliability and good filtering fault tolerance, and helps to improve ...
Keywords	unmanned ship ; multi-sensor data ; data fusion ; positioning system ; particle filter ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	620
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: Bioactive steroids from seed germination supporting fungus (Ceratobasidium GS2) of the terrestrial orchid Gymnadenia conopsea

Lixin Shi / Zeyu Zhao / Luna Yang / Gang Ding / Xiaoke Xing

Mycology, Vol 14, Iss 4, Pp 371-

2023 Volume 380

Abstract: ABSTRACTAlmost all orchids rely on mycorrhizal fungus to support their seed germination. To date, the effect of active components in mycorrhizal fungus on orchid seed germination largely remains unknown. In this study, we aimed to investigate the impact ... ...

Abstract	ABSTRACTAlmost all orchids rely on mycorrhizal fungus to support their seed germination. To date, the effect of active components in mycorrhizal fungus on orchid seed germination largely remains unknown. In this study, we aimed to investigate the impact of active components found in mycorrhizal fungus on orchid seed germination. Specifically, we focused on a terrestrial orchid Gymnadenia conopsea and its host-specific seed germination supporting fungus Ceratobasidium GS2. In total, several steroids (1–7) were isolated from this fungus. Notably, compounds 1, 2, 4, and 5 exhibited significant enhancements in protocorm volume. Moreover, compounds 1–6 demonstrated strong promotion of protocorm differentiation. These findings suggest that steroids may play a crucial role in the symbiotic germination of G. conopsea seeds. Future studies should continue to explore the specific mechanisms through which these steroids exert their effects, contributing to our understanding of orchid biology and mycorrhizal interaction.
Keywords	Gymnadenia conopsea ; orchid mycorrhizal fungi ; Ceratobasidium sp ; steroids ; biologic activity ; protocorm differentiation ; Biology (General) ; QH301-705.5 ; Microbiology ; QR1-502
Subject code	571
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Data-Enhanced Deep Greedy Optimization Algorithm for the On-Demand Inverse Design of TMDC-Cavity Heterojunctions

Zeyu Zhao / Jie You / Jun Zhang / Yuhua Tang

Nanomaterials, Vol 12, Iss 2976, p

2022 Volume 2976

Abstract: A data-enhanced deep greedy optimization (DEDGO) algorithm is proposed to achieve the efficient and on-demand inverse design of multiple transition metal dichalcogenides (TMDC)-photonic cavity-integrated heterojunctions operating in the strong coupling ... ...

Abstract	A data-enhanced deep greedy optimization (DEDGO) algorithm is proposed to achieve the efficient and on-demand inverse design of multiple transition metal dichalcogenides (TMDC)-photonic cavity-integrated heterojunctions operating in the strong coupling regime. Precisely, five types of photonic cavities with different geometrical parameters are employed to alter the optical properties of monolayer TMDC, aiming at discovering new and intriguing physics associated with the strong coupling effect. Notably, the traditional rigorous coupled wave analysis (RCWA) approach is utilized to generate a relatively small training dataset for the DEDGO algorithm. Importantly, one remarkable feature of DEDGO is the integration the decision theory of reinforcement learning, which remedies the deficiencies of previous research that focused more on modeling over decision making, increasing the success rate of inverse prediction. Specifically, an iterative optimization strategy, namely, deep greedy optimization, is implemented to improve the performance. In addition, a data enhancement method is also employed in DEDGO to address the dependence on a large amount of training data. The accuracy and effectiveness of the DEDGO algorithm are confirmed to be much higher than those of the random forest algorithm and deep neural network, making possible the replacement of the time-consuming conventional scanning optimization method with the DEDGO algorithm. This research thoroughly describes the universality, interpretability, and excellent performance of the DEDGO algorithm in exploring the underlying physics of TMDC-cavity heterojunctions, laying the foundations for the on-demand inverse design of low-dimensional material-based nano-devices.
Keywords	inverse design ; transition metal dichalcogenides ; photonic cavity ; integrated heterojunction ; strong coupling effect ; deep learning ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of online and offline social network group clusters on life satisfaction across age groups

Meijie Chu / Honghao Ma / Chun-Yang Lee / Zeyu Zhao / Tianmu Chen / Shuoxun Zhang / Yi-Chen Chiang

Heliyon, Vol 9, Iss 5, Pp e16176- (2023)

2023

Abstract: Background: Positive social relationships are critical for better subjective well-being across ages. Future research will benefit from examining how to improve life satisfaction by utilizing social groups in new, ever-changing social and technological ... ...

Abstract	Background: Positive social relationships are critical for better subjective well-being across ages. Future research will benefit from examining how to improve life satisfaction by utilizing social groups in new, ever-changing social and technological contexts. This study aimed to evaluate the effect of online and offline social network group clusters on life satisfaction across different age groups. Methods: Data were derived from the Chinese Social Survey (CSS) (2019), which is a nationally representative survey. We adopted a K-mode cluster analysis algorithm to categorize participants into four clusters according to their online and offline social network groups. ANOVA and chi-square analysis were used to understand the associations among age groups, social network group clusters, and life satisfaction. Multiple linear regression was applied to identify the association between social network group clusters and life satisfaction across age groups. Results: Younger and older adults had higher life satisfaction than middle-aged adults. Individuals who joined diverse social network groups had the highest life satisfaction, followed by those who joined personal and working social groups, while those who joined restricted social groups had the lowest life satisfaction (F = 81.19, p < 0.001). According to the results of multiple linear regression, individuals who belonged to diverse social groups had higher life satisfaction than those who belonged to restricted social groups among adults aged 18–59 years, except students (p < 0.05). Individuals who joined personal and working social groups had higher life satisfaction than those who joined restricted social groups among adults aged 18–29 and 45–59 years (β = 2.15, p < 0.01; β = 1.45, p < 0.01). Conclusions: Interventions to promote participation in diverse social network groups among adults aged 18–59 years, except for students, are highly recommended to improve life satisfaction. Health practitioners could provide interventions to encourage young and ...
Keywords	Online and offline social groups ; Cluster analysis ; Age groups ; Life satisfaction ; China ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fabrication of biocompatible and biodegradable polyvinyl alcohol/sodium alginate blend polymers incorporating Ca2+ doped TiO2 nanocomposite 3D scaffold for biomedical applications

Nan Jiang / Bo Qi / Xinyu Fan / Ling Yao / Yi Wang / Zeyu Zhao / Yongqing Xu / Mohd Hasmizam Razali

Journal of Saudi Chemical Society, Vol 27, Iss 6, Pp 101758- (2023)

2023

Abstract: Development of biocompatible and biodegradable 3D scaffold for biomedical application has been challenging. Herein, the application of a novel nanocomposite 3D scaffold based on poly vinyl alcohol and sodium alginate embedded with Ca2+ doped titanium ... ...

Abstract	Development of biocompatible and biodegradable 3D scaffold for biomedical application has been challenging. Herein, the application of a novel nanocomposite 3D scaffold based on poly vinyl alcohol and sodium alginate embedded with Ca2+ doped titanium dioxide nanoparticle (PVA + SA/Ca@TiO2) as bioactive material was investigated. The 3D scaffold was prepared using a solvent casting method and characterized using FTIR, SEM, XRD and TGA to study their physiochemical properties. The spectroscopy techniques were used to confirm the formation of the required poly vinyl alcohol and sodium alginate with Ca doped TiO2 nanoparticles fillers interaction by the identification of bands. The TiOH bonds and the bonds related to the interconnected network between the inorganic and the organic components from hybrids. The PVA + SA/Ca@TiO2 nanocomposite 3D scaffold was demonstrated good bioactivity to promote nucleation and growth of hydroxyapatite (HAp) in the simulated body fluid. The PVA + SA/Ca@TiO2 nanocomposite 3D scaffold supported the growth and proliferation of 3 T3 mouse fibroblast cells with strong proliferation and cell attachment. The biocompatibility and nontoxic character of the 3D scaffold was probed using fibroblast cell with over 90 % of cell viability. It offers a potential for cell attachment and captured for biomedical application.
Keywords	Polyvinyl alcohol ; Sodium alginate ; TiO2 ; Nanocomposite ; Biomedical ; Chemistry ; QD1-999
Subject code	620
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Irrigation-facilitated low-density polyethylene microplastic vertical transport along soil profile

Zeyu Zhao / Keyue Zhao / Taishuo Zhang / Yiwen Xu / Ronglong Chen / Sha Xue / Mengjuan Liu / Darrell Tang / Xiaomei Yang / Violette Giessen

Ecotoxicology and Environmental Safety, Vol 247, Iss , Pp 114232- (2022)

An empirical model developed by column experiment

2022

Abstract: The emerging issue of microplastic pollution of agricultural soils derives from the intensive utilization of plastic mulching film. Although surface runoff may transport microplastic off-site, infiltration may also facilitate microplastic transport from ... ...

Abstract	The emerging issue of microplastic pollution of agricultural soils derives from the intensive utilization of plastic mulching film. Although surface runoff may transport microplastic off-site, infiltration may also facilitate microplastic transport from surface soil to deeper depths. Microplastic comprises a relatively new category of soil contaminants, whose transport in the soil has not yet been widely studied. In this study, we investigated microplastic transport from contaminated surface soil (50 g kg-1) driven by irrigation, from permanent wilting point to saturation, and developed an empirical model to characterize the resulting accumulation of microplastic along soil profile. A soil column experiment was conducted under various treatments: the control, 1, 2 and 4 runs of irrigation. Soil samples were collected from inside and outside of soil cracks (if present) in each soil layer (0–2 cm (source layer), 2–5 cm, 5–10 cm, 10–20 cm, 20–30 cm, 30–40 cm, 40–50 cm). The results showed that with increasing irrigation runs, microplastic in the source soil layer decreased, while microplastic contents in deeper soil depths increased significantly (p < 0.05), varying from 7.03 g kg-1 in 2–5 cm to 0.29 g kg-1 in 40–50 cm soil. The microplastic content detected in soil cracks was 1.3–17.8 times higher than that detected in the soil matrix at similar depths, indicating that the transported microplastic is prone to be enriched in soil cracks. In addition, the total amount of transported microplastic increased 1.5 times after four irrigation runs, and the variations were significantly observed especially at deeper soil depths. Based on correlation analyses, data-fitted empirical models that relate cumulative microplastic to the depth of soil layer and irrigation runs indicate that irrigation-facilitated microplastic transport could be well-characterized (R2 >0.92). Further research is needed to develop an physical-based model in order to assess microplastic migration risks driven by irrigation and other ...
Keywords	Microplastic ; Irrigation ; Soil crack ; Macropore flow ; Empirical model ; Environmental pollution ; TD172-193.5 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of maternal dietary energy restriction on laying performance, embryonic development, and lipid metabolism in broilers

Hao Sun / Zhihui Chen / Chengzhan Ma / Lina Lian / Zeyu Zhao / Shupeng Niu / Liangmei Xu / Jinhua Sun

Animal Bioscience, Vol 35, Iss 5, Pp 698-

2022 Volume 710

Abstract: Objective The objective of this study was to investigate the effects of different degrees of maternal dietary energy restriction on lipid deposition in embryonic tissues during the medium laying period (37 to 39 weeks) in Arbor Acres (AA) broiler ... ...

Abstract	Objective The objective of this study was to investigate the effects of different degrees of maternal dietary energy restriction on lipid deposition in embryonic tissues during the medium laying period (37 to 39 weeks) in Arbor Acres (AA) broiler breeders. Methods A single factor design was adopted, and 400 AA broiler breeders (20 weeks of age) with a similar weight were randomly allocated into four groups. The birds in the control group were fed a corn-soybean meal based diet, and those in trial groups were fed diets with 80%, 70%, and 50% energy levels of the basal diet. Incubated eggs from the medium laying period were collected. Samples of developing embryos at various stages were prepared for composition analysis. Results The embryo weight in the 80% energy group was higher than those of the other groups on embryonic day (E) 13, but at 21 E, they were significantly decreased with decreasing energy intake of the broiler breeders (p<0.05). Additionally, the levels of crude fat in tissues in the restriction groups were significantly decreased (p<0.05). The long axis and area of adipocytes in breast muscle, thigh muscle and the liver were significantly decreased (p<0.05) at 21 E in the 80%, 70%, and 50% energy groups. Conclusion The effects of the 80% maternal dietary energy restriction energy affects egg production performance, egg quality, and nutrient deposition in egg weights, which then directly impacts on the developmental process of embryos, especially on fat utilization and deposition.
Keywords	broiler breeder ; embryo ; energy restriction ; lipid deposition ; lipoprotein lipase ; Zoology ; QL1-991
Subject code	590
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Asian-Australasian Association of Animal Production Societies
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Model-based risk assessment of dengue fever transmission in Xiamen City, China

Zhinan Guo / Weikang Liu / Xingchun Liu / Buasiyamu Abudunaibi / Li Luo / Sihan Wu / Bin Deng / Tianlong Yang / Jiefeng Huang / Shenggen Wu / Lei Lei / Zeyu Zhao / Zhuoyang Li / Peihua Li / Chan Liu / Meirong Zhan / Tianmu Chen

Frontiers in Public Health, Vol

2023 Volume 11

Abstract: BackgroundQuantitative assessment of the risk of local transmission from imported dengue cases makes a great challenge to the development of public health in China. The purpose of this study is to observe the risk of mosquito-borne transmission in Xiamen ...

Abstract	BackgroundQuantitative assessment of the risk of local transmission from imported dengue cases makes a great challenge to the development of public health in China. The purpose of this study is to observe the risk of mosquito-borne transmission in Xiamen City through ecological and insecticide resistance monitoring. Quantitative evaluation of mosquito insecticide resistance, community population and the number of imported cases affecting the transmission of dengue fever (DF) in Xiamen was carried out based on transmission dynamics model, so as to reveal the correlation between key risk factors and DF transmission.MethodsBased on the dynamics model and combined with the epidemiological characteristics of DF in Xiamen City, a transmission dynamics model was built to simulate the secondary cases caused by imported cases to evaluate the transmission risk of DF, and to explore the influence of mosquito insecticide resistance, community population and imported cases on the epidemic situation of DF in Xiamen City.ResultsFor the transmission model of DF, when the community population is between 10,000 and 25,000, changing the number of imported DF cases and the mortality rate of mosquitoes will have an impact on the spread of indigenous DF cases, however, changing the birth rate of mosquitoes did not gain more effect on the spread of local DF transmission.ConclusionsThrough the quantitative evaluation of the model, this study determined that the mosquito resistance index has an important influence on the local transmission of dengue fever caused by imported cases in Xiamen, and the Brayton index can also affect the local transmission of the disease.
Keywords	dengue fever ; mathematical model ; risk assessment ; vector investigation ; insecticide resistance monitoring ; Public aspects of medicine ; RA1-1270
Subject code	910
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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Article ; Online: Inactivated vaccine effectiveness against symptomatic COVID-19 in Fujian, China during the Omicron BA.2 outbreak

Wenjing Ye / Kangguo Li / Zeyu Zhao / Shenggen Wu / Huimin Qu / Yichao Guo / Buasiyamu Abudunaibi / Wu Chen / Shaojian Cai / Cailin Chen / Jiawei Lin / Zhonghang Xie / Meirong Zhan / Jianming Ou / Yanqin Deng / Tianmu Chen / Kuicheng Zheng

Frontiers in Public Health, Vol

2023 Volume 11

Abstract: ObjectiveMore than 90% of the Chinese population have completed 2 doses of inactivated COVID-19 vaccines in Mainland China. However, after China government abandoned strict control measures, many breakthrough infections appeared, and vaccine ... ...

Abstract	ObjectiveMore than 90% of the Chinese population have completed 2 doses of inactivated COVID-19 vaccines in Mainland China. However, after China government abandoned strict control measures, many breakthrough infections appeared, and vaccine effectiveness against Omicron BA.2 infection was uncertain. This study aims to investigate the real-world effectiveness of widely used inactivated vaccines during the wave of Omicron variants.MethodsTest-negative case-control study was conducted in this study to analyze the vaccine effectiveness against symptomatic disease caused by the Omicron variant (BA.2) in Fujian, China. Conditional logistic regression was selected to estimate the vaccine effectiveness.ResultsThe study found the vaccine effectiveness against symptomatic COVID-19 is 32.46% (95% CI, 8.08% to 50.37%) at 2 to 8 weeks, and 27.05% (95% CI, 1.23% to 46.12%) at 12 to 24 weeks after receiving booster doses of the inactivated vaccine. Notably, the 3–17 years group had higher vaccine effectiveness after 2 doses than the 18–64 years and over 65 years groups who received booster doses.ConclusionInactivated vaccines alone may not offer sufficient protection for all age groups before the summer of 2022. To enhance protection, other types of vaccines or bivalent vaccines should be considered.
Keywords	COVID-19 ; SARS-CoV-2 ; Omicron BA.2 ; vaccine effectiveness (VE) ; inactivated vaccine ; Public aspects of medicine ; RA1-1270
Subject code	950
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Optimal control strategies of SARS-CoV-2 Omicron supported by invasive and dynamic models

Jia Rui / Jin-Xin Zheng / Jin Chen / Hongjie Wei / Shanshan Yu / Zeyu Zhao / Xin-Yi Wang / Mu-Xin Chen / Shang Xia / Ying Zhou / Tianmu Chen / Xiao-Nong Zhou

Infectious Diseases of Poverty, Vol 11, Iss 1, Pp 1-

2022 Volume 13

Abstract: Abstract Background There is a raising concern of a higher infectious Omicron BA.2 variant and the latest BA.4, BA.5 variant, made it more difficult in the mitigation process against COVID-19 pandemic. Our study aimed to find optimal control strategies ... ...

Abstract	Abstract Background There is a raising concern of a higher infectious Omicron BA.2 variant and the latest BA.4, BA.5 variant, made it more difficult in the mitigation process against COVID-19 pandemic. Our study aimed to find optimal control strategies by transmission of dynamic model from novel invasion theory. Methods Based on the public data sources from January 31 to May 31, 2022, in four cities (Nanjing, Shanghai, Shenzhen and Suzhou) of China. We segmented the theoretical curves into five phases based on the concept of biological invasion. Then, a spatial autocorrelation analysis was carried out by detecting the clustering of the studied areas. After that, we choose a mathematical model of COVID-19 based on system dynamics methodology to simulate numerous intervention measures scenarios. Finally, we have used publicly available migration data to calculate spillover risk. Results Epidemics in Shanghai and Shenzhen has gone through the entire invasion phases, whereas Nanjing and Suzhou were all ended in the establishment phase. The results indicated that Rt value and public health and social measures (PHSM)-index of the epidemics were a negative correlation in all cities, except Shenzhen. The intervention has come into effect in different phases of invasion in all studied cities. Until the May 31, most of the spillover risk in Shanghai remained above the spillover risk threshold (18.81–303.84) and the actual number of the spillovers (0.94–74.98) was also increasing along with the time. Shenzhen reported Omicron cases that was only above the spillover risk threshold (17.92) at the phase of outbreak, consistent with an actual partial spillover. In Nanjing and Suzhou, the actual number of reported cases did not exceed the spillover alert value. Conclusions Biological invasion is positioned to contribute substantively to understanding the drivers and mechanisms of the COVID-19 spread and outbreaks. After evaluating the spillover risk of cities at each invasion phase, we found the dynamic zero-COVID strategy ...
Keywords	SARS-CoV-2 ; Omicron variant ; Biological invasive theory ; Dynamic models ; Optimal combination of interventions ; Spatial spillover risk ; Infectious and parasitic diseases ; RC109-216 ; Public aspects of medicine ; RA1-1270
Subject code	910
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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