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A global perspective on microbial risk factors in effluents of wastewater treatment plants

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Journal of Environmental Sciences 2024年第4期138卷 227-235页

作者： Kejing Chen Jinsong Liang yuhan Wang Yechen Tao Yun Lu Aijie Wang School of Civil and Environmental Engineering Harbin Institute of TechnologyShenzhen 518055China Shenzhen Guohuan Environmental Protection Technology Development Co. LTD.Shenzhen 518055China State Key Joint Laboratory of Environmental Simulation and Pollution Control State Environmental Protection Key Laboratory of Microorganism Application and Risk ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China

Effective monitoring and management of microbial risk factors in wastewater treatment plants(WWTPs)effluents require a comprehensive investigation of these risks.A global survey on microbial risk factors in WWTP effluents could reveal important insights into their risk features.This study aims to explore the abundance and types of antibiotic resistance genes(ARGs),virulence factor genes(VFGs),the vector of ARG/VFG,and dominant pathogens in global WWTP effluents.We collected 113 metagenomes of WWTP effluents from the Sequence Read Archive of the National Center for Biotechnology Information and characterized the microbial risk factors.Our results showed that multidrug resistance was the dominant ARG type,while offensive virulence factors were the most abundant type of VFGs.The most dominant types of ARGs in the vector of plasmid and phage were both aminoglycoside resistance,which is concerning as aminoglycosides are often a last resort for treating multi-resistant infections.Acinetobacter baumannii was the most dominant pathogen,rather than Escherichia coli,and a weak negative correlation between Escherichia coli and two other dominant pathogens(Acinetobacter baumannii and Bacteroides uniformis)suggests that using Escherichia coli as a biological indicator for all pathogens in WWTP effluents may not be appropriate.The Getah virus was the most dominant virus found in global WWTP effluents.Our study presents a comprehensive global-scale investigation of microbial risk factors in WWTP effluents,providing valuable insights into the potential risks associated with WWTP effluents and contributing to the monitoring and control of these risks.

关键词： Wastewater treatment plant Microbial risk factor Effluent Pathogen Antibiotic resistance gene Virulence factor gene

Human brain organoid:trends,evolution,and remaining challenges

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Neural Regeneration Research 2024年第11期19卷 2387-2399页

作者： Minghui Li yuhan Yuan Zongkun Hou Shilei Hao Liang Jin Bochu Wang Key Laboratory of Biorheological Science and Technology Ministry of EducationCollege of BioengineeringChongqing UniversityChongqingChina Southwest Hospital/Southwest Eye Hospital Third Military Medical University(Army Medical University)ChongqingChina School of Biology and Engineering/School of Basic Medical Sciences Guizhou Medical UniversityGuiyangGuizhou ProvinceChina

Advanced brain organoids provide promising platforms for deciphering the cellular and molecular processes of human neural development and diseases.Although various studies and reviews have described developments and advancements in brain organoids,few studies have comprehensively summarized and analyzed the global trends in this area of neuroscience.To identify and further facilitate the development of cerebral organoids,we utilized bibliometrics and visualization methods to analyze the global trends and evolution of brain organoids in the last 10 years.First,annual publications,countries/regions,organizations,journals,authors,co-citations,and keywords relating to brain organoids were identified.The hotspots in this field were also systematically identified.Subsequently,current applications for brain organoids in neuroscience,including human neural development,neural disorders,infectious diseases,regenerative medicine,drug discovery,and toxicity assessment studies,are comprehensively discussed.Towards that end,several considerations regarding the current challenges in brain organoid research and future strategies to advance neuroscience will be presented to further promote their application in neurological research.

关键词： bibliometric analysis brain organoids cerebral organoids global trends neuroscience

Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1566-1578页

作者： yuhan Zhang Zidong Wang Lei Zou Yun Chen Guoping Lu the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the Department of Computer Science Brunel UniversityUB83PHUnited Kingdom the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the School of Automation Hangzhou Dianzi UniversityHangzhou 310018China the School of Electrical Engineering Nantong UniversityNantong 226019China

This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication constraints.These transmissions are carried out over an unreliable communication channel. In order to enhance the utilization rate of measurement data, a buffer-aided strategy is novelly employed to store historical measurements when communication networks are inaccessible. Using the neural network technique, a novel observer-based controller is introduced to address effects of signal transmission behaviors and unknown nonlinear dynamics.Through the application of stochastic analysis and Lyapunov stability, a joint framework is constructed for analyzing resultant system performance under the introduced controller. Subsequently, existence conditions for the desired output-feedback controller are delineated. The required parameters for the observerbased controller are then determined by resolving some specific matrix inequalities. Finally, a simulation example is showcased to confirm method efficacy.

关键词： Buffer-aided strategy neural networks nonlinear control output-feedback control unreliable communication channel

Histone deacetylase inhibitors inhibit cervical cancer growth through Parkin acetylationmediated mitophagy

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Acta Pharmaceutica Sinica B 2022年第2期12卷 838-852页

作者： Xin Sun yuhan shu Guiqin Ye Caixia Wu Mengting Xu Ruilan Gao Dongsheng Huang Jianbin Zhang Department of Oncology Cancer Center of Zhejiang Provincial People’s HospitalAffiliated People’s HospitalHangzhou Medical CollegeHangzhou 310014China Clinical Research Institute Zhejiang Provincial People’s HospitalAffiliated People’s HospitalHangzhou Medical CollegeHangzhou 310014China Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province Hangzhou Medical CollegeHangzhou 310014China College of Biomedical Engineering&Instrument Science Zhejiang UniversityHangzhou 310028China Department of Hematology the First Affiliated Hospital of Zhejiang Chinese Medical UniversityHangzhou 310006China

Parkin,an E3 ubiquitin ligase,plays a role in maintaining mitochondrial homeostasis through targeting damaged mitochondria for mitophagy.Accumulating evidence suggests that the acetylation modification of the key mitophagy machinery influences mitophagy level,but the underlying mechanism is poorly understood.Here,our study demonstrated that inhibition of histone deacetylase(HDAC)by treatment of HDACis activates mitophagy through mediating Parkin acetylation,leading to inhibition of cervical cancer cell proliferation.Bioinformatics analysis shows that Parkin expression is inversely correlated with HDAC2 expression in human cervical cancer,indicating the low acetylation level of Parkin.Using mass spectrometry,Parkin is identified to interact with two upstream molecules,acetylase acetyl-Co A acetyltransferase 1(ACAT1)and deacetylase HDAC2.Under treatment of suberoylanilide hydroxamic acid(SAHA),Parkin is acetylated at lysine residues 129,220 and 349,located in different domains of Parkin protein.In in vitro experiments,combined mutation of Parkin largely attenuate the interaction of Parkin with PTEN induced putative kinase 1(PINK1)and the function of Parkin in mitophagy induction and tumor suppression.In tumor xenografts,the expression of mutant Parkin impairs the tumor suppressive effect of Parkin and decreases the anticancer activity of SAHA.Our results reveal an acetylation-dependent regulatory mechanism governing Parkin in mitophagy and cervical carcinogenesis,which offers a new mitophagy modulation strategy for cancer therapy.

关键词： Parkin Mitophagy ACAT1 HDAC2 Acetylation Ubiquitination Tumor suppression Cervical cancer

Soluble alpha-synuclein post-translational modifications:unexpected regulators of pathological alpha-synuclein amplification

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Neural Regeneration Research 2024年第5期19卷 959-960页

作者： Simran Kapila yuhan Sun Chao Peng shujing Zhang Department of Neurology David Geffen School of MedicineUniversity of CaliforniaLos AngelesCAUSA Molecular Biology Institute Brain Research InstituteMary S.Easton Center for Alzheimer’s ResearchUniversity of CaliforniaLos AngelesCAUSA

The build-up of misfoldedα-synuclein(α-syn)in the central nervous system is the pathological hallmark of a number of neurodegenerative diseases that are known asα-synucleinopathies.These include Parkinson’s disease(PD),Parkinson’s disease with dementia(PDD),dementia with Lewy body(LB),multiple system atrophy(MSA),and a subset of Alzheimer’s disease.Growing evidence underscores that the intercellular transmission and amplification of pathologicalα-syn are critical processes underlying the progression ofα-synucleinopathies(Peng et al.,2020),and as such,the study of these processes could lead to the identification of promising therapeutics to mitigate disease progression.Most previous studies have focused solely on pathological seeds in relation to disease progression.

关键词： pathological diseases

Insight into demand-driven preparation of single-atomic mediators for lithium–sulfur batteries

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Journal of Energy Chemistry 2024年第3期90卷 205-219,I0007页

作者： Miaoyu Lu Yifan Ding Zaikun Xue Ziang Chen yuhan Zou Jingyu Sun College of Energy Soochow Institute for Energy and Materials InnovationsKey Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215006JiangsuChina Beijing Graphene Institute Beijing 100095China

Lithium-sulfur(Li-S) batteries have attracted considerable attention as one of the most appealing energy storage systems.Strenuous efforts have been devoted to tackling the tremendous challenges,mainly pertaining to the severe shuttle effect,sluggish redox kinetics and lithium dendritic growth.Single-atomic mediators as promising candidates exhibit impressive performance in addressing these intractable issues.Related research often utilizes a trial-and-error approach,proposing solutions to fabricate single-atomic materials with diversified features.However,comprehensive review articles especially targeting demand-driven preparation are still in a nascent stage.Inspired by these considerations,this review summarizes the design of single-atomic mediators based on the application case-studies in LiS batteries and other metal-sulfur systems.Emerging preparation routes represented by chemical vapor deposition technology are introduced in a demand-oriented classification.Finally,future research directions are proposed to foster the advancement of single-atomic mediators in Li-S realm.

关键词： Single-atom catalyst Lithium–sulfur battery Chemical vapor deposition Demand-driven preparation

Fake News Detection Based on Text-Modal Dominance and Fusing Multiple Multi-Model Clues

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Computers, Materials & Continua 2024年第3期78卷 4399-4416页

作者： Li fang Fu Huanxin Peng Changjin Ma yuhan Liu College of Arts and Sciences Northeast Agricultural UniversityHarbin150030China College of Engineering Northeast Agricultural UniversityHarbin150030China

In recent years,how to efficiently and accurately identify multi-model fake news has become more challenging.First,multi-model data provides more evidence but not all are equally important.Secondly,social structure information has proven to be effective in fake news detection and how to combine it while reducing the noise information is critical.Unfortunately,existing approaches fail to handle these problems.This paper proposes a multi-model fake news detection framework based on Tex-modal Dominance and fusing Multiple Multi-model Cues(TD-MMC),which utilizes three valuable multi-model clues:text-model importance,text-image complementary,and text-image inconsistency.TD-MMC is dominated by textural content and assisted by image information while using social network information to enhance text representation.To reduce the irrelevant social structure’s information interference,we use a unidirectional cross-modal attention mechanism to selectively learn the social structure’s features.A cross-modal attention mechanism is adopted to obtain text-image cross-modal features while retaining textual features to reduce the loss of important information.In addition,TD-MMC employs a new multi-model loss to improve the model’s generalization ability.Extensive experiments have been conducted on two public real-world English and Chinese datasets,and the results show that our proposed model outperforms the state-of-the-art methods on classification evaluation metrics.

关键词： Fake news detection cross-modal attention mechanism multi-modal fusion social network transfer learning

DG Hosting Capacity Assessment Considering Dependence Among Wind Speed,Solar Radiation,and Load Demands

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1011-1025页

作者： Junyi Yang Jiangmin Bao yuhan Hou Han Wu Qiang Li Yue Yuan Hohai University Nanjing 211100China State Grid Jiangsu Electric Power Co. Ltd.Suzhou Power Supply BranchSuzhou 215004China Nanjing Institute of Technology Nanjing 211167China Electric Power Research Institute of State Grid Jiangsu Electric Power Co.Ltd. Nanjing 211103China IEEE CSEE

Dependence of distributed generation(DG)outputs and load plays an essential role in renewable energy accommodation.This paper presents a novel DG hosting capacity(DGHC)evaluation method for distribution networks considering highdimensional dependence relations among solar radiation,wind speed,and various load types(i.e.,commercial,residential,and industrial).First,an advanced dependence modeling method called regular vine(R-vine)is applied to capture the complex dependence structure of solar radiation,wind speed,commercial loads,industrial loads,and residential loads.Then,a chanceconstrained DGHC evaluation model is employed to figure out maximum hosting capacity of each DG and its optimal allocation plan with different operational risks.Finally,a Benders decomposition algorithm is also employed to reduce computational burden.The proposed approaches are validated using a set of historical data from China.Results show dependence among different DGs and loads has significant impact on hosting capacity.Results also suggest using the R-vine model to capture dependence among distributed energy resources(DERs)and load.This finding provides useful advice for distribution networks in installing renewable energy generations.

关键词： Benders decomposition correlation DG hosting capacity regular vine

Modelling and validation of flash flood inundation in drylands

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Journal of Geographical Sciences 2024年第1期34卷 185-200页

作者： GAO Dan YIN Jie WANG Dandan YANG yuhan LU Yi CHEN Ruishan School of Geographic Sciences East China Normal UniversityShanghai 200241China Key Laboratory of Geographic Information Science of Ministry of Education East China Normal UniversityShanghai 200241China National Disaster Reduction Center of China Ministry of Emergency Management of People's Republic of ChinaBeijing 100124China School of Design Shanghai Jiao Tong UniversityShanghai 200240China

In the context of climate change and human activities,flood disasters in arid mountainous areas have become increasingly frequent,and seriously threatened the safety of people's lives and property.Rapid and accurate flash flood inundation modelling is an essential foundational research area,which can aid in the reduction of casualties and the minimization of disaster losses;however,this modelling is also very difficult,and models need to be urgently developed to address flash flood forecasting and warnings.The objective of this study is to construct a numerical modelling method for flash floods in drylands.Based on a 2D high-resolution flood numerical model(Flood Map-Hydro Inundation2D),we hindcasted the dynamic process of flash flooding and show the spatio-temporal characteristics of flash flood inundation for the“8·18”flash flood disaster that occurred in Datong county,Qinghai province.The results showed that the model output effectively agreed with the observed inundation after the event in terms of both spatial extent and temporal process.Extensive flooding mainly occurred between 00:00 and 01:00 on August 18,2022.Qingshan,Hejiazhuang and Longwo villages were affected most heavily.We further conducted model sensitivity analysis and found that the model was highly sensitive to both roughness and hydraulic conductivity in drylands,and the effect of hydraulic conductivity was more pronounced.Our study confirmed the good performance of our model for the simulation of flash flooding in arid areas and provides a potential method for flash flood assessment and management in arid areas.

关键词： flash flood numerical modelling arid areas Datong county Flood Map-Hydro Inundation2D