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Article ; Online: A Study on Community Public Safety Collaborative Governance Regime in the Background of COVID-19

Xiaoqin Guo / Xiang Li

Sustainability, Vol 14, Iss 14000, p

Empirical Analysis Based on China and South Korea

2022 Volume 14000

Abstract: Community public safety is facing great challenges in the context of the COVID-19 pandemic. While helping communities identify crises and prevent risks, and improving community public safety governance, collaborative governance is changing the trends of ... ...

Abstract	Community public safety is facing great challenges in the context of the COVID-19 pandemic. While helping communities identify crises and prevent risks, and improving community public safety governance, collaborative governance is changing the trends of a complex, uncertain, and ever-changing environment, and helping to drive communities toward higher levels of development and improved community sustainability. The purpose of this paper was to design a model of collaborative governance regime (CGR) that better fits the particular context of COVID-19 to enhance community safety and achieve sustainability of collaborative governance. This paper investigated and empirically analyzed the COVID-19 response in Chinese and Korean communities. It is found that collaborative dynamics can positively contribute to collaborative performance; collaborative dynamics can positively contribute to collaborative actions; collaborative actions can positively contribute to collaborative performance; collaborative actions play a partially mediating role between collaborative dynamics and collaborative performance; and there is heterogeneity in collaborative governance regimes in different system contexts. The paper suggests several insights: collaborative governance can deal with uncertainty and unpredictable turbulence; enhancing the capacity for joint action is more conducive to collaborative performance; and the role of government in collaborative governance is valued. Our study provides data support for validating the operating principles and internal logical relationships of collaborative governance and provides an empirical basis for responding to large-scale public crises in different contexts.
Keywords	community collaborative governance ; COVID-19 response ; collaborative dynamics ; collaborative actions ; collaborative performance ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	302
Language	English
Publishing date	2022-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of maize and wheat seedlings and weeds based on deep learning

Xiaoqin Guo / Yujuan Ge / Feiqi Liu / Jingjing Yang

Frontiers in Earth Science, Vol

2023 Volume 11

Abstract: Introduction: It is well-known that maize and wheat are main food crops in the world. Thus, promoting high quality and abundant maize and wheat crops guarantees the development of the grain industry, which is needed to support world hunger. Weeds ... ...

Abstract	Introduction: It is well-known that maize and wheat are main food crops in the world. Thus, promoting high quality and abundant maize and wheat crops guarantees the development of the grain industry, which is needed to support world hunger. Weeds seriously affect the growing environment of maize, wheat, and their seedlings, resulting in low crop yields and poor seedling quality. This paper focuses on the identification of maize and wheat seedlings and field weeds using deep learning.Methods: Maize and wheat seedlings and field weeds are the research objects. A weed identification model based on the UNet network model and ViT classification algorithm is proposed. The model uses UNet to segment images. A Python Imaging Library algorithm is used to segment green plant leaves from binary images, to enhance the feature extraction of green plant leaves. The segmented image is used to construct a ViT classification model, which improves the recognition accuracy of maize and wheat seedlings and weeds in the field.Results: This paper uses average accuracy, average recall, and F1 score to evaluate the performance of the model. The accuracy rate (for accurately identifying maize and wheat seedlings and weeds in the field) reaches 99.3%. Compared with Alexnet, VGG16, and MobileNet V3 models, the results show that the recognition effect of the model trained using the method presented in this paper is better than other existing models.Discussion: Thus, this method, which accurately disambiguates maize and wheat seedlings from field weeds can provide effective information support for subsequent field pesticide spraying and mechanical weeding.
Keywords	deep learning ; image classification ; weed identification ; maize seedlings identification ; wheat seedlings identification ; Science ; Q
Subject code	571
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: Mesenchymal Stem Cell-Derived Extracellular Vesicles as Idiopathic Pulmonary Fibrosis Microenvironment Targeted Delivery

Lu Sang / Xiaoqin Guo / Haojun Fan / Jie Shi / Shike Hou / Qi Lv

Cells, Vol 11, Iss 2322, p

2022 Volume 2322

Abstract: Idiopathic pulmonary fibrosis (IPF) affects an increasing number of people globally, yet treatment options remain limited. At present, conventional treatments depending on drug therapy do not show an ideal effect in reversing the lung damage or extending ...

Abstract	Idiopathic pulmonary fibrosis (IPF) affects an increasing number of people globally, yet treatment options remain limited. At present, conventional treatments depending on drug therapy do not show an ideal effect in reversing the lung damage or extending the lives of IPF patients. In recent years, more and more attention has focused on extracellular vesicles (EVs) which show extraordinary therapeutic effects in inflammation, fibrosis disease, and tissue damage repair in many kinds of disease therapy. More importantly, EVs can be modified or used as a drug or cytokine delivery tool, targeting injury sites to enhance treatment efficiency. In light of this, the treatment strategy of mesenchymal stem cell-extracellular vesicles (MSC-EVs) targeting the pulmonary microenvironment for IPF provides a new idea for the treatment of IPF. In this review, we summarized the inflammation, immune dysregulation, and extracellular matrix microenvironment (ECM) disorders in the IPF microenvironment in order to reveal the treatment strategy of MSC-EVs targeting the pulmonary microenvironment for IPF.
Keywords	mesenchymal stem cells ; extracellular vesicles ; idiopathic pulmonary fibrosis ; microenvironment ; bioengineering ; targeted delivery ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Progress in the Diagnostic and Predictive Evaluation of Crush Syndrome

Yu Luo / Chunli Liu / Duo Li / Bofan Yang / Jie Shi / Xiaoqin Guo / Haojun Fan / Qi Lv

Diagnostics, Vol 13, Iss 3034, p

2023 Volume 3034

Abstract: Crush syndrome (CS), also known as traumatic rhabdomyolysis, is a syndrome with a wide clinical spectrum; it is caused by external compression, which often occurs in earthquakes, wars, and traffic accidents, especially in large-scale disasters. Crush ... ...

Abstract	Crush syndrome (CS), also known as traumatic rhabdomyolysis, is a syndrome with a wide clinical spectrum; it is caused by external compression, which often occurs in earthquakes, wars, and traffic accidents, especially in large-scale disasters. Crush syndrome is the second leading cause of death after direct trauma in earthquakes. A series of clinical complications caused by crush syndrome, including hyperkalemia, myoglobinuria, and, in particular, acute kidney injury (AKI), is the main cause of death in crush syndrome. The early diagnosis of crush syndrome, the correct evaluation of its severity, and accurate predictions of a poor prognosis can provide personalized suggestions for rescuers to carry out early treatments and reduce mortality. This review summarizes various methods for the diagnostic and predictive evaluation of crush syndrome, including urine dipstick tests for a large number of victims, traditional and emerging biomarkers, imaging-assisted diagnostic methods, and developed evaluation models, with the aim of providing materials for scholars in this research field.
Keywords	crush syndrome ; crush injury ; diagnosis ; biomarker ; predictive evaluation ; Medicine (General) ; R5-920
Subject code	610
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: Characteristics and Developments in Mesenchymal Stem Cell Therapy for COVID-19

Lu Sang / Xiaoqin Guo / Jie Shi / Shike Hou / Haojun Fan / Qi Lv

Stem Cells International, Vol

An Update

2021 Volume 2021

Abstract: The outbreak of coronavirus disease 2019 (COVID-19) has so far resulted in over a hundred million people being infected. COVID-19 poses a threat to human health around the world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been ... ...

Abstract	The outbreak of coronavirus disease 2019 (COVID-19) has so far resulted in over a hundred million people being infected. COVID-19 poses a threat to human health around the world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been confirmed as the pathogenic virus of COVID-19. SARS-CoV-2 belongs to the β-coronavirus family of viruses and is mainly transmitted through the respiratory tract. It has been proven that SARS-CoV-2 mainly targets angiotensin-converting enzyme II (ACE2) receptors on the surface of various cells in humans. The main clinical symptoms of COVID-19 include fever, cough, and severe acute respiratory distress syndrome (ARDS). Current evidence suggests that the damage caused by the virus may be closely related to the induction of cytokine storms in COVID-19. No specific drugs or measures have yet to be shown to cure COVID-19 completely. Cell-based approaches, primarily mesenchymal stem cells (MSCs), have been identified to have anti-inflammatory and immune functions in COVID-19. Clinical studies about using MSCs and its derivatives—exosomes for COVID-19 treatment—are under investigation. Here, we review the current progress of the biological characteristics, clinical manifestations, and cell-based treatment development for COVID-19. Providing up-to-date information on COVID-19 and potential MSC therapies will help highlight routes to prevent and treat the disease.
Keywords	Internal medicine ; RC31-1245
Subject code	610
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Knowledge, Attitude and Practice about Public Emergencies and the Response Capability of Residents in Shanghai after the Outbreak of Coronavirus Disease 2019 (COVID-19)

Jingting Lu / Xiaoqin Guo / Xiaoyu Han / Biao Deng / Qi Zhao / Genming Zhao / Na He

International Journal of Environmental Research and Public Health, Vol 18, Iss 4814, p

A Cross-Sectional Study

2021 Volume 4814

Abstract: People’s knowledge, attitude and practice (KAP) are a part of the public’s emergency response capability and play an important role in controlling public health emergencies. This study aims to evaluate Shanghai residents’ KAP and the response ability ... ...

Abstract	People’s knowledge, attitude and practice (KAP) are a part of the public’s emergency response capability and play an important role in controlling public health emergencies. This study aims to evaluate Shanghai residents’ KAP and the response ability regarding public health emergency events in China. An anonymous questionnaire investigation including demographics, socioeconomic characteristics and KAP was conducted through the online survey system from April 19 to April 30 2020. Of the 1243 people who completed the questionnaire, 1122 respondents (90.3%) had a good, positive attitude, while only 46.8% of participants had good knowledge, 46.2% performed well in the aspect of practice and 19.5% of residents had good response capability. It was found that men (OR:1.57,95% CI: 1.16–2.13), and people with 10 to 12 years or longer than 12 years of education (OR: 2.08,95% CI: 1.14–3.92; OR: 3.56,95% CI: 1.96–6.72) had the best public emergency response capability. Positive attitudes may be significantly associated with good practice (OR: 1.76, 95% CI: 1.18–2.64). Internet and television were the major media for people to acquire knowledge and skills. A lack of knowledge, poor perception and poor emergency response ability were found in Shanghai residents. Target intervention should be developed and implemented to improve the knowledge and skills of people for dealing with public emergency events.
Keywords	knowledge ; attitude and practice ; public health emergencies ; emergency capability ; residents ; Medicine ; R
Subject code	306
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Electroacupuncture protective effects after cerebral ischemia are mediated through miR-219a inhibition

Yaling Dai / Sinuo Wang / Minguang Yang / Peiyuan Zhuo / Yanyi Ding / Xiaoling Li / Yajun Cao / Xiaoqin Guo / Huawei Lin / Jing Tao / Lidian Chen / Weilin Liu

Biological Research, Vol 56, Iss 1, Pp 1-

2023 Volume 24

Abstract: Abstract Background Electroacupuncture (EA) is a complementary and alternative therapy which has shown protective effects on vascular cognitive impairment (VCI). However, the underlying mechanisms are not entirely understood. Methods Rat models of VCI ... ...

Abstract	Abstract Background Electroacupuncture (EA) is a complementary and alternative therapy which has shown protective effects on vascular cognitive impairment (VCI). However, the underlying mechanisms are not entirely understood. Methods Rat models of VCI were established with cerebral ischemia using occlusion of the middle cerebral artery or bilateral common carotid artery. The brain structure and function imaging were measured through animal MRI. miRNA expression was detected by chip and qPCR. Synaptic functional plasticity was detected using electrophysiological techniques. Results This study demonstrated the enhancement of Regional Homogeneity (ReHo) activity of blood oxygen level-dependent (BOLD) signal in the entorhinal cortical (EC) and hippocampus (HIP) in response to EA treatment. miR-219a was selected and confirmed to be elevated in HIP and EC in VCI but decreased after EA. N-methyl-D-aspartic acid receptor1 (NMDAR1) was identified as the target gene of miR-219a. miR-219a regulated NMDAR-mediated autaptic currents, spontaneous excitatory postsynaptic currents (sEPSC), and long-term potentiation (LTP) of the EC-HIP CA1 circuit influencing synaptic plasticity. EA was able to inhibit miR-219a, enhancing synaptic plasticity of the EC-HIP CA1 circuit and increasing expression of NMDAR1 while promoting the phosphorylation of downstream calcium/calmodulin-dependent protein kinase II (CaMKII), improving overall learning and memory in VCI rat models. Conclusion Inhibition of miR-219a ameliorates VCI by regulating NMDAR-mediated synaptic plasticity in animal models of cerebral ischemia.
Keywords	Vascular cognitive impairment ; Synaptic plasticity ; Neuron ; MicroRNA ; NMDAR ; Biology (General) ; QH301-705.5
Subject code	571 ; 610
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Biomimetic tri-layered small-diameter vascular grafts with decellularized extracellular matrix promoting vascular regeneration and inhibiting thrombosis with the salidroside

Jie Shi / Yanjiao Teng / Duo Li / Ju He / Adam C. Midgley / Xiaoqin Guo / Xiudan Wang / Xinran Yang / Shufang Wang / Yakai Feng / Qi Lv / Shike Hou

Materials Today Bio, Vol 21, Iss , Pp 100709- (2023)

2023

Abstract: Small-diameter vascular grafts (SDVGs) are urgently required for clinical applications. Constructing vascular grafts mimicking the defining features of native arteries is a promising strategy. Here, we constructed a tri-layered vascular graft with a ... ...

Abstract	Small-diameter vascular grafts (SDVGs) are urgently required for clinical applications. Constructing vascular grafts mimicking the defining features of native arteries is a promising strategy. Here, we constructed a tri-layered vascular graft with a native artery decellularized extracellular matrix (dECM) mimicking the component of arteries. The porcine thoracic aorta was decellularized and milled into dECM powders from the differential layers. The intima and media dECM powders were blended with poly (L-lactide-co-caprolactone) (PLCL) as the inner and middle layers of electrospun vascular grafts, respectively. Pure PLCL was electrospun as a strengthening sheath for the outer layer. Salidroside was loaded into the inner layer of vascular grafts to inhibit thrombus formation. In vitro studies demonstrated that dECM provided a bioactive milieu for human umbilical vein endothelial cell (HUVEC) extension adhesion, proliferation, migration, and tube-forming. The in vivo studies showed that the addition of dECM could promote endothelialization, smooth muscle regeneration, and extracellular matrix deposition. The salidroside could inhibit thrombosis. Our study mimicked the component of the native artery and combined it with the advantages of synthetic polymer and dECM which provided a promising strategy for the design and construction of SDVGs.
Keywords	Small-diameter vascular graft ; Biomimetic ; Decellularized extracellular matrix ; Antithrombosis ; Tissue regeneration ; Medicine (General) ; R5-920 ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genotypic and spatial analysis of transmission dynamics of tuberculosis in Shanghai, China

Meng Li / Liping Lu / Qi Jiang / Yuan Jiang / Chongguang Yang / Jing Li / Yangyi Zhang / Jinyan Zou / Yong Li / Wenqi Dai / Jianjun Hong / Howard Takiff / Xin Shen / Xiaoqin Guo / Zhengan Yuan / Qian Gao

The Lancet Regional Health. Western Pacific, Vol 38, Iss , Pp 100833- (2023)

a 10-year prospective population-based surveillance studyResearch in context

2023

Abstract: Summary: Background: With improved tuberculosis (TB) control programs, the incidence of TB in China declined dramatically over the past few decades, but recently the rate of decrease has slowed, especially in large cities such as Shanghai. To help ... ...

Abstract	Summary: Background: With improved tuberculosis (TB) control programs, the incidence of TB in China declined dramatically over the past few decades, but recently the rate of decrease has slowed, especially in large cities such as Shanghai. To help formulate strategies to further reduce TB incidence, we performed a 10-year study in Songjiang, a district of Shanghai, to delineate the characteristics, transmission patterns, and dynamic changes of the local TB burden. Methods: We conducted a population-based study of culture-positive pulmonary TB patients diagnosed in Songjiang during 2011–2020. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms based on whole-genome sequencing, and risk factors for clustering were identified by logistic regression. Transmission inference was performed using phybreak. The distances between the residences of patients were compared to the genomic distances of their isolates. Spatial patient hotspots were defined with kernel density estimation. Findings: Of 2212 enrolled patients, 74.7% (1652/2212) were internal migrants. The clustering rate (25.2%, 558/2212) and spatial concentrations of clustered and unclustered patients were unchanged over the study period. Migrants had significantly higher TB rates but less clustering than residents. Clustering was highest in male migrants, younger patients and both residents and migrants employed in physical labor. Only 22.1% of transmission events occurred between residents and migrants, with residents more likely to transmit to migrants. The clustering risk decreased rapidly with increasing distances between patient residences, but more than half of clustered patient pairs lived ≥5 km apart. Epidemiologic links were identified for only 15.6% of clustered patients, mostly in close contacts. Interpretation: Although some of the TB in Songjiang's migrant population is caused by strains brought by infected migrants, local, recent transmission is an important driver of the TB burden. These results suggest ...
Keywords	Tuberculosis ; Transmission patterns ; Dynamic changes ; Whole-genome sequencing ; Spatial analysis ; Public aspects of medicine ; RA1-1270
Subject code	610
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Influence of infectious disease seasonality on the performance of the outbreak detection algorithm in the China Infectious Disease Automated-alert and Response System

Ruiping Wang / Yonggen Jiang / Xiaoqin Guo / Yiling Wu / Genming Zhao

Journal of International Medical Research, Vol

2018 Volume 46

Abstract: Objective The Chinese Center for Disease Control and Prevention developed the China Infectious Disease Automated-alert and Response System (CIDARS) in 2008. The CIDARS can detect outbreak signals in a timely manner but generates many false-positive ... ...

Abstract	Objective The Chinese Center for Disease Control and Prevention developed the China Infectious Disease Automated-alert and Response System (CIDARS) in 2008. The CIDARS can detect outbreak signals in a timely manner but generates many false-positive signals, especially for diseases with seasonality. We assessed the influence of seasonality on infectious disease outbreak detection performance. Methods Chickenpox surveillance data in Songjiang District, Shanghai were used. The optimized early alert thresholds for chickenpox were selected according to three algorithm evaluation indexes: sensitivity (Se), false alarm rate (FAR), and time to detection (TTD). Performance of selected proper thresholds was assessed by data external to the study period. Results The optimized early alert threshold for chickenpox during the epidemic season was the percentile P65, which demonstrated an Se of 93.33%, FAR of 0%, and TTD of 0 days. The optimized early alert threshold in the nonepidemic season was P50, demonstrating an Se of 100%, FAR of 18.94%, and TTD was 2.5 days. The performance evaluation demonstrated that the use of an optimized threshold adjusted for seasonality could reduce the FAR and shorten the TTD. Conclusions Selection of optimized early alert thresholds based on local infectious disease seasonality could improve the performance of the CIDARS.
Keywords	Medicine (General) ; R5-920
Subject code	630
Language	English
Publishing date	2018-01-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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