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WATER QUALITY MODELING OF SUZHOU CREEK

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Journal of Hydrodynamics 2002年第2期14卷 83-90页

作者： Xu Zu-xin, Liao Zhen-liang Pollution control and Resource Reuse State Key Laboratory, Tongji University, shanghai 200092, China Liu Dong-sheng shanghai Environmental information center, shanghai 200050, China Pollution control and Resource Reuse State Key Laboratory Tongji University Shanghai 200092 China shanghai Environmental information center Shanghai 200050 China

Water-quality models are important tools for improving river environment. In this paper, the project 'Water Quality Modeling of the Suzhou Creek' was briefly described, including the choice and the principle of the model, the model study and methods, the calibration and verification of the stream model. A set of parameters about water environmental characteristic of the Suzhou Creek were put forward in the period of the third water dispatch experiment in 1999. It is necessary to point out that these parameters will change with the rehabilitation and construction of the Suzhou Creek.

关键词： water quality mathematical model Suzhou Creek

Bi-level Energy Trading Model Incorporating Large-scale Biogas Plant and Demand Response Aggregator

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 567-578页

作者： Hanyu Yang Canbing Li Ruanming Huang Feng Wang Lili Hao Qiuwei Wu Long Zhou College of Electrical Engineering and control Science Nanjing Tech UniversityNanjingChina School of Electronic information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Economic and Technological Research Institute of shanghai Electric Power Company ShanghaiChina College of Electrical and information Engineering Hunan UniversityChangsha 410082China Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China information center of Guangdong Power Grid Company Limited Guangzhou 528000China

Increasing intermittent renewable energy sources(RESs)intensifies the imbalance between demand and generation,entailing the diversification of the deployment of electrical energy storage systems(ESSs).A large-scale biogas plant(LBP)installed with heating devices and biogas energy storage(BES)usually exhibits a storage-like characteristic of accommodating an increasing penetration level of RES in rural areas,which is addressed in this *** utilizing the temperature-sensitive characteristic of anaerobic digestion that enables the LBP to exhibit a storage-like characteristic,this paper proposes a bi-level energy trading model incorporating LBP and demand response aggregator(DRA)*** this model,social welfare is maximized at the upper level while the profit of DRA is maximized at the lower *** with cases only with DRA,the results show that the proposed model with the LBP improves the on-site accommodation capacity of photovoltaic(PV)generation up to 6.3%,18.1%,and 18.9%at 30%,40%,and 50%PV penetration levels,respectively,with a better economic *** nonlinear bi-level problem is finally recast by a single-level mathematical program with equilibrium constraints(MPEC)using Karush-Kuhn-Tucker(KKT)conditions and solved by the Cplex *** effectiveness of the proposed model is validated using a 33-bus test system and a sensitivity analysis is provided for analyzing what parameter influences the accommodation capacity most.

关键词： Biomass energy renewable energy resource energy trading demand response distribution system

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基于大语言模型的糖尿病管理:潜力与展望

Science Bulletin 2024年第5期69卷 583-588页

作者：盛斌管洲榆 Lee-Ling Lim 江泽铧 Nestoras Mathioudakis 李佳佳刘茹涵包玉倩 Yong Mong Bee 王亚星郑颖丰 Gavin Siew Wei Tan 纪宏伟 Josip Car 王海波 David C.Klonoff 李华婷覃宇宗黄天荫贾伟平 shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and EngineeringSchool of ElectronicInformationand Electrical EngineeringShanghai Jiao Tong UniversityDepartment of Endocrinology and MetabolismShanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai 200240China MOE Key Laboratory of Artificial Intelligence Artificial Intelligence InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Medicine Faculty of MedicineUniversity of MalayaKuala Lumpur 50603Malaysia Department of Medicine and Therapeutics The Chinese University of Hong KongHong KongChina Asia Diabetes Foundation Hong KongChina Tsinghua Medicine of Tsinghua University Beijing 100084China School of Clinical Medicine Beijing Tsinghua Changgung HospitalBeijing 102218China Division of Endocrinology Diabetes&MetabolismJohns Hopkins University School of MedicineBaltimoreMD 21211USA Department of Endocrinology Singapore General HospitalSingapore 169608Singapore Beijing Institute of Ophthalmology Beijing Tongren HospitalCapital University of Medical ScienceBeijing Ophthalmology and Visual Sciences Key LaboratoryBeijing 100730China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangzhou 510060China Singapore Eye Research Institute Singapore National Eye CentreSingapore 168751Singapore Department of Cardiology the Affiliated Hospital of Qingdao UniversityQingdao 266011China Centre for Population Health Sciences Lee Kong Chian School of MedicineNanyang Technological University SingaporeSingapore 639798Singapore Department of Primary Care and Public Health School of Public HealthImperial College LondonLondon SW72BUUK Clinical Trial Unit Research Centre of Big Data and Artificial Intelligence in Medicine

The increasing prevalence of diabetes has become a global public health concern in the 21st *** 2021,it was estimated that 537 million people had diabetes,and this number is projected to reach 643 million by 2030,and 783 million by 2045[1].Such a huge burden of diabetes brings great challenges in its prevention and management,including early diagnosis,timely interventions,and regular monitoring of risk factor control and complications *** self-care support and patient empowerment can enhance clinical and psychobehavioural outcomes[2],although these require additional resources including manpower,infrastructure(hard and technology),and *** emergence of digital health technologies(DHTs),especially artificial intelligence(AI),may help address these obstacles and alleviate the burden of diabetes[3].Large language models(LLMs),a generative AI that can accept image and text inputs and produce text outputs,have shown promise in various aspects of medical care.

关键词： prevention diagnosis finance

Molecular behavior and interactions with microbes during anaerobic degradation of bio-derived DOM in waste leachate

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Journal of Environmental Sciences 2023年第4期126卷 174-183页

作者： Junjie Qiu Tianqi Li Fan Lü Yulong Huang Chao Li Hua Zhang Liming Shao Pinjing He Institute of Waste Treatment and Reclamation Tongji UniversityShanghai 200092China shanghai Institute of Pollution control and Ecological Security Shanghai 200092China shanghai Engineering Research center of Multi-source Solid Wastes Co-Processing and Energy Utilization Shanghai 200092China

It is the key to control bio-derived dissolved organic matters (DOM) in order to reduce the effluent concentration of wastewater treatment, especially for waste leachate with high organic contaminants. In the present study, the anaerobic degradation of aerobically stabilized DOM was investigated with DOM substrate isolated through electrodialysis. The degradation of bio-derived DOM was confirmed by reduction of 15%of total organic carbon in 100 *** characterized the molecular behavior of bio-derived DOM by coupling molecular and biological information analysis. Venn based Sankey diagram of mass features showed the transformation of bio-derived DOM mass features. Occurrence frequency analysis divided mass features into six categories so as to distinguish the fates of intermediate metabolites and persistent compounds. Reactivity continuum model and machine learning technologies realized the semi-quantitative determination on the kinetics of DOM mass features in the form of pseudo-first order, and confirmed the reduction of inert mass features. Furthermore, network analysis statistically establish relationship between DOM mass features and microbes to identify the active microbes that are able to utilize bio-derived DOM. This work confirmed the biological technology is still effective in controlling recalcitrant bio-derived DOM during wastewater treatment.

关键词： Soluble microbial products Data mining Machine learning Solid waste Orbitrap

Ice concentration assimilation in a regional ice-ocean coupled model and its application in sea ice forecasting

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Advances in Polar Science 2013年第4期24卷 258-264页

作者： LI Qun ZHANG Zhanhai SUN Li WU Huiding SOA Key Laboratory for Polar Science Polar Research Institute of China shanghai flood control information center National Marine Environmental Forecasting center State Oceanic Administration

A reasonable initial state of ice concentration is essential for accurate short-term forecasts of sea ice using ice-ocean coupled models. In this study, sea ice concentration data are assimilated into an operational ice forecast system based on a com- bined optimal interpolation and nudging scheme. The scheme produces a modeled sea ice concentration at every time step, based on the difference between observational and forecast data and on the ratio of observational error to modeled error. The impact and the effectiveness of data assimilation are investigated. Significant improvements to predictions of sea ice extent were obtained through the assimilation of ice concentration, and minor improvements through the adjustment of the upper ocean properties. The assimilation of ice thickness data did not significantly improve predictions. Forecast experiments show that the forecast accuracy is higher in summer, and that the errors on five-day forecasts occur mainly around the marginal ice zone.

关键词： ice concentration assimilation combined optimal interpolation and nudging sea ice forecast skills core

Differential expression of plasma cytokines in sepsis patients and their clinical implications

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World Journal of Clinical Cases 2024年第25期12卷 5681-5696页

作者： Hui-Xiu Liu Yu-Ying Wang Xue-Feng Yang Interventional Diagnosis and Treatment center The Affiliated Second HospitalHengyang Medical SchoolUniversity of South ChinaHengyang 421001Hunan ProvinceChina Department of Emergency The Shanghai Putuo District People's HospitalShanghai 200060China Department of Gastroenterology The Affiliated Nanhua HospitalHengyang Medical SchoolUniversity of South ChinaHengyang 421002Hunan ProvinceChina

BACKGROUND Sepsis,which is characterized by acute systemic inflammation and is associated with high rates of morbidity and mortality,presents a significant challenge in health *** scholars have found that the sequential organ failure assessment(SOFA)and quick SOFA scores are not ideal for predicting severe sepsis and *** culture takes a long time(2-3 d)and provides no information for early diagnosis and ***,new diagnostic methods for sepsis need to be *** To assess cytokine levels in the plasma of sepsis patients and identify potential biomarkers for diagnosing *** Ten sepsis patients admitted to the emergency department within 24 h of onset were enrolled as the observation group,whereas ten noninfected patients served as the control *** the 10 noninfected patients,9 hypertension combined with cerebral infarction,1 patients with vertiginous *** Cytokines were measured using the Bio-Plex Pro^(TM)Human Chemokine Panel *** expressed cytokines in plasma of sepsis and nonsepsis patients were analyzed using Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway *** Interleukin(IL)-16,granulocyte-macrophage granulocyte-macrophage colony-stimulating factor(GM-CSF),CX3CL1,CXCL9,CXCL16,CCL25,and CCL23 plasma levels were significantly increased in sepsis *** analysis revealed that these cytokines were mainly associated with cellular structures such as intermediates,nuclear plaques,adhesion plaques,lateral plasma membranes,and cell matrix *** genes were involved in various molecular functions,such as cytokine activity,receptor ligand activity,and signal receptor activator activity,contributing to various biological functions,such as leukocyte chemotaxis,migration,and *** analysis indicated involvement in cytokine cytokine receptor interactions,chemokine signaling pathways,virus–protein interactions wi

关键词： Sepsis Cytokines Biomarkers Protein chip Patients

Characterization and acid-mobilization study for typical iron- bearing clay mineral

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Journal of Environmental Sciences 2018年第9期30卷 222-232页

作者： Zhenzhen Wang Rui Li Lulu Cui Hongbo Fu Jun Lin Jianmin Chen shanghai Key Laboratory Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringFudan University Shanghai 200433 China Collaborative Innovation center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing 210044 China shanghai Institute of Pollution control and Ecological Security Shanghai 200092 China Key Laboratory of Nuclear Analysis Techniques Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800 China

In this study, iron speciation in five standard clay samples was characterized. Iron mobilization from these clays was then measured in acidic media. For comparison, a commercially available Arizona test dust （ATD） was also observed. The results showed that the free-Fe contents of clays were commonly lower than that of dust aerosols. The components of clays were dominant by the structural Fe held in the aluminosilicate lattice. The iron solubility of the clays were in the order of KGa-2 〉 SWy-2 〉 CCa-2 〉 IMt-2 〉 NAu- 2. Based upon the M6ssbauer spectrum and transmission electron microscopy （TEM） analysis, the Fe（Ⅱ） fraction and the Fe/Si ratio of clay particles changed after dissolution, suggesting the total Fe solubility depended on the Fe atom states existing within the aluminosilicate lattice. The Fe in KGa-2 and SWy-2 was most likely substituted for alkaline elements as the interlayer ions held by ionic bonds in the aluminosilicate, which are more liable to dissolution. However, the Fe in NAu-2 was more likely to be bound by strong covalent bonds in aluminosilicate mineral, which is less soluble. The much highly soluble Fe in ATD was not only linked to the dissolution of an appreciable fraction of Fe（Ⅱ）, but also could be attributed to the fact that the Fe bonds in the clay fraction of ATD were mainly present as ionic bonds. The TEM images showed that reacted clay particles displayed less aggregate particles, with nanoparticle aggregates and the Fe/S-rich tiny particles attached to the remains.

关键词： Clay particles Dust Iron mobilization Marine primary productivity

Cognitive anti-jamming receiver under phase noise in high frequency bands

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Journal of Systems Engineering and Electronics 2018年第1期29卷 31-38页

作者： FANG Zheng LI Haitao QIAN Yiming School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China China Science and Technology on Avionics Integration Laboratory Shanghai 200233China Faculty of information Technology Beijing University of TechnologyBeijing 100124China China Nuclear control System Engineering CO. LTDBeijing 100176China

This paper investigates the jamming sensing performance of the simultaneous transmit and receive based cognitive anti-jamming(SCAJ) receiver impaired by phase noise in local oscillators(LO) over fading channels. Firstly, energy detection(ED)based on the jamming to noise ratio(JNR) of the high frequency bands SCAJ receiver with phase noise under different channels is analyzed. Then, the probabilities of jamming detection and false alarm in closed-form for the SCAJ receiver are derived. Finally,the modified Bayesian Cramer-Rao bound(BCRB) of jamming sensing for the SCAJ receiver is presented. Simulation results show that the performance degradation of the SCAJ system due to phase noise is more severe than that due to the channel fading in the circumstances where the signal bandwidth(BW) is kept a constant. Moreover, the signal BW has an effect on the phase noise in LO, and the jamming detection probability of the wideband SCAJ receiver with lower phase noise outperforms that of the narrowband receiver using the same center frequency. Furthermore,an accurate phase noise estimation and compensation scheme can improve the jamming detection capability of the SCAJ receiver in high frequency bands and approach to the upper bound.

关键词： high frequency band simultaneous transmit and receive phase noise cognitive anti-jamming

Channel parameters-independent multi-hop nondestructive teleportation

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Chinese Physics B 2022年第2期31卷 201-208页

作者： Hua-Yang Li Yu-Zhen Wei Yi Ding Min Jiang School of Electronics&information Engineering Soochow UniversitySuzhou 215006 China 2School of Information EngineeringHuzhou UniversityHuzhou 313000China Key Laboratory of System control and information Processing Ministry of EducationShanghai 200240China

A multi-hop nondestructive teleportation scheme independent of channel parameters based on Bell pairs is presented,where the coefficients of the quantum channel are unknown to all the communication *** Bell measurement and channel matching technology the unknown channel parameters can be eliminated probabilistically with the help of the intermediate *** the source node Alice can teleport an unknown state to the remote destination node *** our scheme the teleportation is generalized first to the scenario independent of channel parameters,which makes the requirement of quantum channel *** scheme still preserves the initial unknown state even if this teleportation ***,performance analysis shows that our scheme has a higher communication efficiency.

关键词： multi-hop quantum communication entanglement swapping teleportation