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Article ; Online: Emission characteristics and removal of heavy metals in flue gas: a case study in waste incineration and coal-fired power plants.

Zhao, Bowen / Liu, Wenting / Wang, Xin / Lu, Jianyi

Environmental science and pollution research international

2024 Volume 31, Issue 6, Page(s) 8883–8897

Abstract: Heavy metal pollutants such as Hg, As, Pb, Cr, and Cd emitted from coal and waste combustion have received widespread attention. In this study, we systematically investigated the emission characteristics of heavy metals in waste incineration and coal- ... ...

Abstract	Heavy metal pollutants such as Hg, As, Pb, Cr, and Cd emitted from coal and waste combustion have received widespread attention. In this study, we systematically investigated the emission characteristics of heavy metals in waste incineration and coal-fired flue gases, focused on testing the removal effect of self-made cold electrode electrostatic precipitator (CE-ESP) on heavy metals in flue gas, and made a comparative analysis with the existing air pollution control devices (APCDs). Test results from waste incineration power plant showed that each APCD showed a certain effect on the removal of heavy metals in condensable particulate matter (CPM), with an average removal efficiency of bag filter was 86%, but its effect on Hg removal was slightly worse. Under the coupled field with electrified cold electrode plate operation mode, the average removal efficiency of CE-ESP on heavy metals in CPM was as high as 93%, including 76% for Hg. The removal efficiency of heavy metals (especially Hg) in CPM increased with the increase of flue gas temperature difference between inlet and outlet of CE-ESP. Test results from this coal-fired power plant showed that heavy metals were enriched in fly ash to a higher degree than in slag, the synergistic control of heavy metals in submicron particulate matter by the dust remover was not obvious, and there was a significant correlation between each heavy metal emission factor and its content in coal. Under the temperature field with non-electric cold electrode plate operation mode, the overall effect of CE-ESP on the removal of gaseous heavy metals was better than that of particulate heavy metals. Under the conventional electric field operation mode, CE-ESP was less effective in removing particulate Cr and gaseous Hg
MeSH term(s)	Air Pollutants/analysis ; Environmental Monitoring/methods ; Metals, Heavy ; Particulate Matter/analysis ; Coal Ash/analysis ; Mercury/analysis ; Dust ; Power Plants ; Incineration ; Coal/analysis ; Gases
Chemical Substances	Air Pollutants ; Metals, Heavy ; Particulate Matter ; Coal Ash ; Mercury (FXS1BY2PGL) ; Dust ; Coal ; Gases
Language	English
Publishing date	2024-01-05
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-31678-z
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Article ; Online: Study on the correlation between retrograde ductus arteriosus flow and right ventricular function evaluated by Z-score of tricuspid annular plane systolic excursion in fetuses with Ebstein anomaly.

Guo, Xianfeng / Li, Yilin / Zhao, Bowen / He, Yihua

Journal of clinical ultrasound : JCU

2024

Abstract: Purpose: To analyze the influence of RV dysfunction evaluated by Free-angle M-mode (FAM) TAPSE Z-score on retrograde ductus arteriosus flow (RDAF) in fetuses with Ebstein anomaly (EA).: Methods: A retrospective cohort study of 30 EA and 60 normal ... ...

Abstract	Purpose: To analyze the influence of RV dysfunction evaluated by Free-angle M-mode (FAM) TAPSE Z-score on retrograde ductus arteriosus flow (RDAF) in fetuses with Ebstein anomaly (EA). Methods: A retrospective cohort study of 30 EA and 60 normal fetuses were enrolled. The EA group was divided into two groups: with RDAF (EA-RDAF group) and without RDAF (EA-NRDAF group). FAM was used to measure TAPSE of EA and normal fetuses, and Z-scores were calculated. The differences of FAM-TAPSE Z-score, gestational week (GW), maternal age (MA), and mitral valve-tricuspid valve distance (MTD) between three groups were compared. The correlation and binary logistic regression between FAM-TAPSE Z-score, GW, MA, MTD, and RDAF were analyzed. Results: FAM-TAPSE Z-score was significantly lower in EA-RDAF group compared to other groups (p < 0.05). FAM-TAPSE Z-score, GW, and MA were negatively correlated with RDAF (p < 0.05), but no correlation was found between TR, MDT, and RDAF (p > 0.05). Multivariate logistic regression showed that FAM-TAPSE Z-score was an independent influencing factor for RDAF (OR = 0.102, p < 0.05). Conclusion: RV dysfunction is an independent factor leading to RDAF in EA fetus, which provides a feasible theoretical basis for further study on improvement of RV function through intrauterine treatment to delay and prevent the RDAF, to avoid death cycle and improve live-birth rate.
Language	English
Publishing date	2024-04-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	189393-2
ISSN	1097-0096 ; 0091-2751
ISSN (online)	1097-0096
ISSN	0091-2751
DOI	10.1002/jcu.23695
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Article ; Online: Impact monitoring of large size complex metal structures based on sparse sensor array and transfer learning.

Zhao, Bowen / Zhang, Yiliang / Liu, Qijian / Qing, Xinlin

Ultrasonics

2024 Volume 140, Page(s) 107305

Abstract: During aircraft operations, the impact events experienced by the aircraft may cause damage to the structure, thus posing a safety hazard. Therefore, an accurate determination of where the impact occurred and the time history of the impact force can ... ...

Abstract	During aircraft operations, the impact events experienced by the aircraft may cause damage to the structure, thus posing a safety hazard. Therefore, an accurate determination of where the impact occurred and the time history of the impact force can provide an important basis for assessing the condition of the aircraft. However, modern aircraft structures are often large and complex, and relying on dense arrays of sensors for monitoring adds additional weight to the aircraft and reduces the economics of aircraft operation. This paper proposes a region-to-point monitoring strategy. First, a Convolutional Neural Network (CNN) model with region localization capability is trained using the sparse sensor array acquisition data. Then, the weighted center algorithm is used to determine the specific location where the impact occurs, in which the added fuzzy genetic algorithm can provide the ability to adjust weights to improve localization accuracy adaptively. As for the impact force prediction, this paper adopts a model based on a Convolutional Neural Network-Gated Recurrent Unit combined with a Squeeze-Excitation attention mechanism (CNN-GRU-SE), which is capable of predicting the impact force occurring in the flat plate and reinforced structure region of the aircraft under different energy conditions. Finally, the impact of incorporating a transfer learning approach on model performance and training cost is investigated for fuselage regions with different structures.
Language	English
Publishing date	2024-03-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	200839-7
ISSN	1874-9968 ; 0041-624X
ISSN (online)	1874-9968
ISSN	0041-624X
DOI	10.1016/j.ultras.2024.107305
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Article ; Online: Identification of PDGFA as a Neutrophil-related Biomarker Linked to the Advancement of Diabetic Retinopathy through Integrated Bioinformatics Analysis.

Liang, Anran / Feng, Tingting / Gao, Xiang / Zhao, Bowen / Chen, Song

Endocrine, metabolic & immune disorders drug targets

2024

Abstract: Background: The dysregulation of the innate immune system plays a crucial role in the development of Diabetic Retinopathy (DR). To gain an insight into the underlying mechanism of DR, it is essential to identify specific biomarkers associated with ... ...

Abstract	Background: The dysregulation of the innate immune system plays a crucial role in the development of Diabetic Retinopathy (DR). To gain an insight into the underlying mechanism of DR, it is essential to identify specific biomarkers associated with immune cell infiltration. Methods: In this study, we retrieved the GSE94019 and GSE60436 datasets from the Gene Expression Omnibus (GEO) database. By utilizing CIBERSORT, MCPcounter, and xCell algorithms, we conducted a comprehensive analysis of the immune cell infiltration landscape in DR. The limma package was employed to identify Differentially Expressed Necroptosis-related Genes (DENRGs). Subsequently, enrichment analysis was performed to investigate the potential functions of the DENRGs. To identify the core DENRGs, the CytoHubba plug-in in Cytoscape software was utilized. The expression levels of these core DENRGs were verified in an independent dataset. Results: Our analysis identified 213 DENRGs, and among them, Platelet-derived Growth Factor subunit A (PDGFA) was identified as a core DENRG. Notably, the expression of PDGFA was found to be upregulated in DR, and this finding was further validated in the GSE102485 dataset. Additionally, the results of GSVA and GSEA revealed that in the high PDGFA group, there was activation of pathways related to inflammation and the immune system. Moreover, analysis of immune infiltration demonstrated a significant association between PDGFA gene expression and the infiltration levels of specific immune cells, including basophils, macrophages M1, macrophages, neutrophils, monocytes, NK cells, and B cells. Conclusion: The involvement of neutrophils in the development and progression of DR is suggested. PDGFA has emerged as a potential marker and is linked to the infiltration of immune cells in DR. These findings shed new light on the underlying mechanisms of DR.
Language	English
Publishing date	2024-03-19
Publishing country	United Arab Emirates
Document type	Journal Article
ZDB-ID	2228325-0
ISSN	2212-3873 ; 1871-5303
ISSN (online)	2212-3873
ISSN	1871-5303
DOI	10.2174/0118715303279463240220050158
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Article ; Online: Dynamic analysis of the subsea production system with lazy-wave risers attached to FPSO.

Zhang, Dapeng / Zhao, Bowen / Zhu, Keqiang / Jiang, Haoyu

PloS one

2023 Volume 18, Issue 9, Page(s) e0291603

Abstract: The lazy-wave riser is an input and output riser for a flexible development system, which is widely used in all the riser and pipeline systems. Because of the influence of various factors, its configuration description, control and motion which have a ... ...

Abstract	The lazy-wave riser is an input and output riser for a flexible development system, which is widely used in all the riser and pipeline systems. Because of the influence of various factors, its configuration description, control and motion which have a strong nonlinear character are complex during the running process of the lazy-wave riser. Reference to the specific structure and environmental parameters of a certain lazy-wave risers system with a 300 thousand tons FPSO, with the basis of the specific process of the flexible riser system at work, the lazy-wave risers were discretized into lumped mass models, combined with AQWA, the simplified dynamic model of the whole system at the depth of 2100m has been established by the large hydrodynamic analysis software OrcaFlex. The dynamic response characteristics of the lazy-wave risers have been given by using time domain coupling method. With and without the consideration of the 2nd wave drift load in the simulation process, the effects of the 2nd wave drift load on the results are obtained. The simulation results reveal the difficulty of simulation convergence caused by a large number of risers and flexible components. The 2nd order wave drift loads have a significant effect on the riser system, resulting in the increasement of the effective tension at each end of each riser. To counteract the magnitude of the FPSO response caused by such loads, the number of mooring lines needed to be increased or combined with dynamic positioning techniques to optimize the design.
MeSH term(s)	Computer Simulation ; Hydrodynamics ; Motion ; Software
Language	English
Publishing date	2023-09-15
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0291603
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Article ; Online: Dynamic analysis of towed cable with variable length during turning maneuvers.

Zhang, Dapeng / Zhao, Bowen / Zhu, Keqiang / Jiang, Haoyu

Scientific reports

2023 Volume 13, Issue 1, Page(s) 3525

Abstract: The configuration of marine towing cable changes significantly during the turning process, with the rotating procedure with fixed cable length being the most frequent. To overcome these challenges, the configuration and dynamic properties of the marine ... ...

Abstract	The configuration of marine towing cable changes significantly during the turning process, with the rotating procedure with fixed cable length being the most frequent. To overcome these challenges, the configuration and dynamic properties of the marine towing cable must be addressed. However, under some particular operating situations, the tugboat must release the marine towed cable during rotation, resulting in a constant change in the length of the marine cable. In view of this, the towed cable is discretized into a lumped mass model based on the lumped mass method, and the dynamic analysis model of the rotation process of towed cable with variable length under different release speeds and different depths is established. This is done with reference to the specific parameters of a towed system, combined with the specific sea conditions of a particular sea area. Time-domain coupling analysis is used to determine the dynamic changes in configuration and stress of marine towing cable at various release speeds and depths. The results of the calculations have some guiding relevance for a certain engineering practice.
Language	English
Publishing date	2023-03-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-30731-8
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Article ; Online: Impact monitoring on complex structure using VMD-MPE feature extraction and transfer learning.

Zhao, Bowen / Wang, Yihan / Zeng, Xianping / Qing, Xinlin

Ultrasonics

2023 Volume 136, Page(s) 107141

Abstract: Impacts are common damage events in aviation scenarios that can cause damage to the structural integrity ofan aircraft and pose a threat to its safe operation. Therefore, it is crucial to monitor impact events. A region-to-point monitoring method is ... ...

Abstract	Impacts are common damage events in aviation scenarios that can cause damage to the structural integrity ofan aircraft and pose a threat to its safe operation. Therefore, it is crucial to monitor impact events. A region-to-point monitoring method is proposed to address the challenges posed by the large area of monitored aircraft structures and the long distance between sensors. Firstly, to fully use the information in the original impact signal and reduce the aliasing effect caused by the reinforced structure, the original signal is decomposed into several modes with different frequency bands by Variational Mode Decomposition (VMD). The Multi-scale Permutation Entropy (MPE) value is then calculated to reflect the various characteristics of each mode, which is used as a basis for classification. Secondly, Transfer Component Analysis (TCA) is selected as a transfer learning method to reduce the difference between the features of the source domain and the target domains' features. Thirdly, the TCA-transformed source domain data are used to train the Probabilistic Neural Network model (PNN), and the unfamiliar target domain data are used to verify the impact area identification. Finally, based on regional location, the system identification technology and weighted centroid algorithm can be used to obtain the history of impact force and the precise coordinates of the impact location.
Language	English
Publishing date	2023-08-25
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	200839-7
ISSN	1874-9968 ; 0041-624X
ISSN (online)	1874-9968
ISSN	0041-624X
DOI	10.1016/j.ultras.2023.107141
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Article ; Online: Development of polypeptide-based materials toward messenger RNA delivery.

Zhao, Bowen / Zhang, Xiao / Bickle, Molly S / Fu, Shiwei / Li, Qingchun / Zhang, Fuwu

Nanoscale

2024 Volume 16, Issue 5, Page(s) 2250–2264

Abstract: Messenger RNA (mRNA)-based therapeutic agents have demonstrated significant potential in recent times, particularly in the context of the COVID-19 pandemic outbreak. As a promising prophylactic and therapeutic strategy, polypeptide-based mRNA delivery ... ...

Abstract	Messenger RNA (mRNA)-based therapeutic agents have demonstrated significant potential in recent times, particularly in the context of the COVID-19 pandemic outbreak. As a promising prophylactic and therapeutic strategy, polypeptide-based mRNA delivery systems attract significant interest because of their low cost, simple preparation, tuneable sizes and morphology, convenient large-scale production, biocompatibility, and biodegradability. In this review, we begin with a brief discussion of the synthesis of polypeptides, followed by a review of commonly used polypeptides in mRNA delivery, including classical polypeptides and cell-penetrating peptides. Then, the challenges against mRNA delivery, including extracellular, intracellular, and clinical barriers, are discussed in detail. Finally, we highlight a range of strategies for polypeptide-based mRNA delivery, offering valuable insights into the advancement of polypeptide-based mRNA carrier development.
MeSH term(s)	Humans ; RNA, Messenger/genetics ; Pandemics ; Cell-Penetrating Peptides
Chemical Substances	RNA, Messenger ; Cell-Penetrating Peptides
Language	English
Publishing date	2024-02-01
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2515664-0
ISSN	2040-3372 ; 2040-3364
ISSN (online)	2040-3372
ISSN	2040-3364
DOI	10.1039/d3nr05635j
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Article ; Online: PEGA: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization.

Zhao, Bowen / Chen, Wei-Neng / Wei, Feng-Feng / Liu, Ximeng / Pei, Qingqi / Zhang, Jun

IEEE transactions on cybernetics

2024 Volume PP

Abstract: EA, such as the genetic algorithm (GA), offer an elegant way to handle combinatorial optimization problems (COPs). However, limited by expertise and resources, most users lack the capability to implement evolutionary algorithms (EAs) for solving COPs. An ...

Abstract	EA, such as the genetic algorithm (GA), offer an elegant way to handle combinatorial optimization problems (COPs). However, limited by expertise and resources, most users lack the capability to implement evolutionary algorithms (EAs) for solving COPs. An intuitive and promising solution is to outsource evolutionary operations to a cloud server, however, it poses privacy concerns. To this end, this article proposes a novel computing paradigm called evolutionary computation as a service (ECaaS), where a cloud server renders evolutionary computation services for users while ensuring their privacy. Following the concept of ECaaS, this article presents privacy-preserving genetic algorithm (PEGA), a privacy-preserving GA designed specifically for COPs. PEGA enables users, regardless of their domain expertise or resource availability, to outsource COPs to the cloud server that holds a competitive GA and approximates the optimal solution while safeguarding privacy. Notably, PEGA features the following characteristics. First, PEGA empowers users without domain expertise or sufficient resources to solve COPs effectively. Second, PEGA protects the privacy of users by preventing the leakage of optimization problem details. Third, PEGA performs comparably to the conventional GA when approximating the optimal solution. To realize its functionality, we implement PEGA falling in a twin-server architecture and evaluate it on two widely known COPs: 1) the traveling Salesman problem (TSP) and 2) the 0/1 knapsack problem (KP). Particularly, we utilize encryption cryptography to protect users' privacy and carefully design a suite of secure computing protocols to support evolutionary operators of GA on encrypted chromosomes. Privacy analysis demonstrates that PEGA successfully preserves the confidentiality of COP contents. Experimental evaluation results on several TSP datasets and KP datasets reveal that PEGA performs equivalently to the conventional GA in approximating the optimal solution.
Language	English
Publishing date	2024-01-12
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2023.3346863
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Article ; Online: Commercial genetically modified corn and soybean are poised following pilot planting in China.

Sun, Mei / Li, Suzhen / Yang, Wenzhu / Zhao, Bowen / Wang, Youhua / Liu, Xiaoqing

Molecular plant

2024 Volume 17, Issue 4, Page(s) 519–521

MeSH term(s)	Glycine max/genetics ; Zea mays/genetics ; Agriculture ; China ; Plants, Genetically Modified/genetics
Language	English
Publishing date	2024-03-07
Publishing country	England
Document type	Journal Article
ZDB-ID	2393618-6
ISSN	1752-9867 ; 1674-2052
ISSN (online)	1752-9867
ISSN	1674-2052
DOI	10.1016/j.molp.2024.03.005
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