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Article: Early warning index of flash flood disaster: a case study of Shuyuan watershed in Qufu City.

Teng, Xiaomin / Zhang, Xiaoxiao / Jiao, Jiamin / Diao, Mengyao / Li, Wanglin

Water science and technology : a journal of the International Association on Water Pollution Research

2023 Volume 87, Issue 4, Page(s) 892–909

Abstract: ... To determine the critical rainfall and early warning indicators of disaster prevention objects, the Shuyuan ...

Abstract	Flash flood disaster is one of the important natural disasters, bringing harm to human life and causing serious economic losses, so it is urgent to improve the accuracy of flash flood warning. To determine the critical rainfall and early warning indicators of disaster prevention objects, the Shuyuan Watershed of Qufu City Shandong Province was selected as the research object, the key disaster prevention objects were screened and finally, Hengmiao Village and Gaolou Village were selected as typical disaster prevention objects. Empirical analysis method, Storm analysis method, and model analysis method were used to calculate the critical rainfall at different times under different soil water content conditions, compare and analyze the rationality and existing problems of these three methods, and comprehensively determine the indicators of typical disaster prevention objects under different circumstances. The results show that the value of the index calculated by the storm analysis method is small and calculated by the model analysis method is large. This paper can improve the accuracy of flash flood warning, select the critical rainfall calculation method according to local conditions, accurately calculate the parameter values, and deal with the problem of effective early warning in the region as a whole.
MeSH term(s)	Humans ; Floods ; Disasters ; Soil ; Water
Chemical Substances	Soil ; Water (059QF0KO0R)
Language	English
Publishing date	2023-01-11
Publishing country	England
Document type	Journal Article
ZDB-ID	764273-8
ISSN	1996-9732 ; 0273-1223
ISSN (online)	1996-9732
ISSN	0273-1223
DOI	10.2166/wst.2023.016
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Article: A new trapdoor spider of

Yu, Kun / Li, Changze / Zhang, Shuyuan / Zhang, Feng

Biodiversity data journal

2023 Volume 11, Page(s) e98311

Abstract: Background: The genus : New information: A new species, ...

Abstract	Background: The genus New information: A new species,
Language	English
Publishing date	2023-04-07
Publishing country	Bulgaria
Document type	Journal Article
ZDB-ID	2736709-5
ISSN	1314-2828
ISSN	1314-2828
DOI	10.3897/BDJ.11.e98311
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Article ; Online: The spike glycoprotein of highly pathogenic human coronaviruses

Shuyuan Qiao / Shuyuan Zhang / Jiwan Ge / Xinquan Wang

FEBS Open Bio, Vol 12, Iss 9, Pp 1602-

structural insights for understanding infection, evolution and inhibition

2022 Volume 1622

Abstract: Highly pathogenic human coronaviruses (CoV) including SARS‐CoV, MERS‐CoV and SARS‐CoV‐2 have emerged over the past two decades, resulting in infectious disease outbreaks that have greatly affected public health. The CoV surface spike (S) glycoprotein ... ...

Abstract	Highly pathogenic human coronaviruses (CoV) including SARS‐CoV, MERS‐CoV and SARS‐CoV‐2 have emerged over the past two decades, resulting in infectious disease outbreaks that have greatly affected public health. The CoV surface spike (S) glycoprotein mediates receptor binding and membrane fusion for cell entry, playing critical roles in CoV infection and evolution. The S glycoprotein is also the major target molecule for prophylactic and therapeutic interventions, including neutralizing antibodies and vaccines. In this review, we summarize key studies that have revealed the structural basis of S‐mediated cell entry of SARS‐CoV, MERS‐CoV and SARS‐CoV‐2. Additionally, we discuss the evolution of the S glycoprotein to realize cross‐species transmission from the viewpoint of structural biology. Lastly, we describe the recent progress in developing antibodies, nanobodies and peptide inhibitors that target the SARS‐CoV‐2 S glycoprotein for therapeutic purposes.
Keywords	evolution ; highly pathogenic coronaviruses ; infection ; inhibition ; spike glycoprotein ; structural insights ; Biology (General) ; QH301-705.5
Subject code	500
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Predicting thermal desorption efficiency of PAHs in contaminated sites based on an optimized machine learning approach.

Zhang, Shuai / Wang, Shuyuan / Zhao, Jiating / Zhu, Lizhong

Environmental pollution (Barking, Essex : 1987)

2024 Volume 346, Page(s) 123667

Abstract: Thermal desorption (TD) remediation of polycyclic aromatic hydrocarbon (PAH)-contaminated sites is known for its high energy consumption and cost implications. The key to solving this issue lies in analyzing the PAHs desorption process, defining ... ...

Abstract	Thermal desorption (TD) remediation of polycyclic aromatic hydrocarbon (PAH)-contaminated sites is known for its high energy consumption and cost implications. The key to solving this issue lies in analyzing the PAHs desorption process, defining remediation endpoints, and developing prediction models to prevent excessive remediation. Establishing an accurate prediction model for remediation efficiency, which involves a systematic consideration of soil properties, TD parameters, and PAH characteristics, poses a significant challenge. This study employed a machine learning approach for predicting the remediation efficiency based on batch experiment results. The results revealed that the extreme gradient boosting (XGB) model yielded the most accurate predictions (R
MeSH term(s)	Soil Pollutants/analysis ; Polycyclic Aromatic Hydrocarbons/analysis ; Soil ; Biodegradation, Environmental
Chemical Substances	Soil Pollutants ; Polycyclic Aromatic Hydrocarbons ; Soil
Language	English
Publishing date	2024-02-28
Publishing country	England
Document type	Journal Article
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2024.123667
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Article ; Online: Machine Learning for Sequence and Structure-Based Protein-Ligand Interaction Prediction.

Zhang, Yunjiang / Li, Shuyuan / Meng, Kong / Sun, Shaorui

Journal of chemical information and modeling

2024 Volume 64, Issue 5, Page(s) 1456–1472

Abstract: Developing new drugs is too expensive and time -consuming. Accurately predicting the interaction between drugs and targets will likely change how the drug is discovered. Machine learning-based protein-ligand interaction prediction has demonstrated ... ...

Abstract	Developing new drugs is too expensive and time -consuming. Accurately predicting the interaction between drugs and targets will likely change how the drug is discovered. Machine learning-based protein-ligand interaction prediction has demonstrated significant potential. In this paper, computational methods, focusing on sequence and structure to study protein-ligand interactions, are examined. Therefore, this paper starts by presenting an overview of the data sets applied in this area, as well as the various approaches applied for representing proteins and ligands. Then, sequence-based and structure-based classification criteria are subsequently utilized to categorize and summarize both the classical machine learning models and deep learning models employed in protein-ligand interaction studies. Moreover, the evaluation methods and interpretability of these models are proposed. Furthermore, delving into the diverse applications of protein-ligand interaction models in drug research is presented. Lastly, the current challenges and future directions in this field are addressed.
MeSH term(s)	Ligands ; Machine Learning ; Proteins/chemistry
Chemical Substances	Ligands ; Proteins
Language	English
Publishing date	2024-02-22
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	190019-5
ISSN	1549-960X ; 0095-2338
ISSN (online)	1549-960X
ISSN	0095-2338
DOI	10.1021/acs.jcim.3c01841
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Article ; Online: Study on acoustic radiation force of a rigid sphere arbitrarily positioned in a zero-order Mathieu beam.

Li, Shuyuan / Zhang, Xiaofeng

The Journal of the Acoustical Society of America

2023 Volume 153, Issue 4, Page(s) 2460

Abstract: The expressions of the axial and transverse acoustic radiation forces of a rigid sphere arbitrarily positioned in a zero-order Mathieu beam are derived in this paper. The expansion coefficients of the off-axis zero-order Mathieu beam are obtained using ... ...

Abstract	The expressions of the axial and transverse acoustic radiation forces of a rigid sphere arbitrarily positioned in a zero-order Mathieu beam are derived in this paper. The expansion coefficients of the off-axis zero-order Mathieu beam are obtained using the addition theorem of the Bessel functions, and numerical experiments are conducted to verify the theory. The three-dimensional acoustic radiation forces on a rigid sphere are studied when the beam is set at different ellipticity parameters, half-cone angles, and offsets of the incident wave relative to the particle center. Simulation results show that the axial acoustic radiation forces of the rigid sphere are always positive, but the transverse forces vary with the positions of the particle and the beam parameters. Also, by changing the frequency, half-cone angle, and offset of the zero-order Mathieu beam, the value and direction of the transverse forces can be adjusted, which has applications in controlling the rigid sphere to be close to or away from the beam axis. Furthermore, the finite element model is set up to verify the theoretical model, and the results obtained by the two methods are in good agreement. This work may contribute to a better understanding of the underlying mechanisms of the particle manipulation with different acoustic beams.
Language	English
Publishing date	2023-04-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	219231-7
ISSN	1520-8524 ; 0001-4966
ISSN (online)	1520-8524
ISSN	0001-4966
DOI	10.1121/10.0017924
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Article ; Online: The spike glycoprotein of highly pathogenic human coronaviruses: structural insights for understanding infection, evolution and inhibition.

Qiao, Shuyuan / Zhang, Shuyuan / Ge, Jiwan / Wang, Xinquan

FEBS open bio

2022 Volume 12, Issue 9, Page(s) 1602–1622

Abstract: Highly pathogenic human coronaviruses (CoV) including SARS-CoV, MERS-CoV and SARS-CoV-2 have emerged over the past two decades, resulting in infectious disease outbreaks that have greatly affected public health. The CoV surface spike (S) glycoprotein ... ...

Abstract	Highly pathogenic human coronaviruses (CoV) including SARS-CoV, MERS-CoV and SARS-CoV-2 have emerged over the past two decades, resulting in infectious disease outbreaks that have greatly affected public health. The CoV surface spike (S) glycoprotein mediates receptor binding and membrane fusion for cell entry, playing critical roles in CoV infection and evolution. The S glycoprotein is also the major target molecule for prophylactic and therapeutic interventions, including neutralizing antibodies and vaccines. In this review, we summarize key studies that have revealed the structural basis of S-mediated cell entry of SARS-CoV, MERS-CoV and SARS-CoV-2. Additionally, we discuss the evolution of the S glycoprotein to realize cross-species transmission from the viewpoint of structural biology. Lastly, we describe the recent progress in developing antibodies, nanobodies and peptide inhibitors that target the SARS-CoV-2 S glycoprotein for therapeutic purposes.
MeSH term(s)	Humans ; Middle East Respiratory Syndrome Coronavirus/metabolism ; SARS Virus/metabolism ; SARS-CoV-2/metabolism ; Spike Glycoprotein, Coronavirus/chemistry ; Spike Glycoprotein, Coronavirus/immunology ; Virus Internalization
Chemical Substances	Spike Glycoprotein, Coronavirus
Language	English
Publishing date	2022-06-25
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2651702-4
ISSN	2211-5463 ; 2211-5463
ISSN (online)	2211-5463
ISSN	2211-5463
DOI	10.1002/2211-5463.13454
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Article ; Online: Establishing a Gross Primary Productivity Model by SIF and PRI on the Rice Canopy.

Zhang, Zhanhao / Guo, Jianmao / Han, Shihui / Jin, Shuyuan / Zhang, Lei

Plant phenomics (Washington, D.C.)

2024 Volume 6, Page(s) 144

Abstract: Solar-induced chlorophyll fluorescence (SIF) has shown remarkable results in estimating vegetation carbon cycles, and combining it with the photochemical reflectance index (PRI) has great potential for estimating gross primary productivity (GPP). However, ...

Abstract	Solar-induced chlorophyll fluorescence (SIF) has shown remarkable results in estimating vegetation carbon cycles, and combining it with the photochemical reflectance index (PRI) has great potential for estimating gross primary productivity (GPP). However, few studies have used SIF combined with PRI to estimate crop canopy GPP. Large temporal and spatial variability between SIF, PRI, and GPP has also been found in remote sensing observations, and the observed PRI and SIF are influenced by the ratio of different observed information (e.g., background, direct sunlit, and shaded leaves) and the physiological state of the vegetation. In this study, the PRI and SIF from a multi-angle spectrometer and the GPP from an eddy covariance system were used to assess the ability of the PRI to enhance the SIF-GPP estimation model. A semi-empirical kernel-driven Bidirectional Reflectance Distribution Function (BRDF) model was used to describe the hotspot PRI/SIF (PRI
Language	English
Publishing date	2024-02-01
Publishing country	United States
Document type	Journal Article
ISSN	2643-6515
ISSN (online)	2643-6515
DOI	10.34133/plantphenomics.0144
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A new trapdoor spider of Cyclocosmia Ausserer, 1871 from southern China (Araneae, Halonoproctidae)

Kun Yu / Changze Li / Shuyuan Zhang / Feng Zhang

Biodiversity Data Journal, Vol 11, Iss , Pp 1-

2023 Volume 23

Abstract: ... six of which have been recorded from China.A new species, Cyclocosmia ruyi Yu & Zhang sp. n., is ...

Abstract	The genus Cyclocosmia Ausserer, 1871 previously included ten species from North America and Asia, six of which have been recorded from China.A new species, Cyclocosmia ruyi Yu & Zhang sp. n., is described and diagnosed, based on both sexes from Guangxi Province, China. Morphological characters for the early stages of juveniles of the new species are also provided.
Keywords	Opisthosomal disc ; early stages of spiderling ; mor ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Pensoft Publishers
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Advances in the Diagnosis and Treatment of Rare Cardiovascular Diseases

ZHANG Shuyang / TIAN Zhuang / ZHANG Shuyuan / WANG Zeyuan

罕见病研究, Vol 2, Iss 1, Pp 1-

2023 Volume 5

Abstract: The onset of rare cardiovascular diseases is early and the mortality is high. The patients of the disease face a long time of hardship in diagnosis and a low treatment rate. As a result, it is urgent to improve the diagnosis and treatment level of rare ... ...

Abstract	The onset of rare cardiovascular diseases is early and the mortality is high. The patients of the disease face a long time of hardship in diagnosis and a low treatment rate. As a result, it is urgent to improve the diagnosis and treatment level of rare diseases and to accelerate the selection and R&D of drugs of rare cardiovascular diseases. In recent years, with the rapid development of new technology and basic research, the diagnosis and treatment of rare cardiovascular diseases have made breakthroughs. The article summarizes the research progress in diagnosis and treatment of rare cardiovascular diseases and looks into the future of the research.
Keywords	rare diseases ; cardiovascular diseases ; diagnosis ; treatment ; Medicine ; R
Language	Chinese
Publishing date	2023-01-01T00:00:00Z
Publisher	Editorial Office of Journal of Rare Diseases
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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