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Plant Carbonic Anhydrases： Structures, Locations, Evolution, and Physiological Roles

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Molecular Plant 2017年第1期10卷 30-46页

作者： Robert j. DiMario Harmony Clayton Ananya Mukhedee Martha Ludwig james V. Moroney Department of Biological Sciences Louisiana State University Baton Rouge LA 70803 USA School of Chemistry and Biochemistry University of Western Australia Perth WA 6009 Australia

Carbonic anhydrases （CAs） are zinc metalloenzymes that catalyze the interconversion of CO2 and HCO3- and are ubiquitous in nature. Higher plants contain three evolutionarily distinct CA families, αCAs, 13CAs, and γCAs, where each family is represented by multiple isoforms in all species. Alternative splicing of CA transcripts appears common; consequently, the number of functional CA isoforms in a species may exceed the number of genes. CAs are expressed in numerous plant tissues and in different cellular locations. The most prevalent CAs are those in the chloroplast, cytosol, and mitochondria. This diversity in location is paralleled in the many physiological and biochemical roles that CAs play in plants. In this review, the number and types of CAs in C3, C4, and crassulacean acid metabolism （CAM） plants are considered, and the roles of the α and yCAs are briefly discussed. The remainder of the review focuses on plant βCAs and includes the identification of homologs between species using phylogenetic approaches, a consideration of the inter- and intracellular localization of the proteins, along with the evidence for alternative splice forms. Current understanding of βCA tissue-specific expression patterns and what controls them are reviewed, and the physiological roles for which βCAs have been implicated are presented.

关键词： carbonic anhydrase regulation alternative splicing physiological role

Gold modified cobalt-based Fischer-Tropsch catalysts for conversion of synthesis gas to liquid fuels

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Frontiers of Chemical Science and Engineering 2013年第3期7卷 262-269页

作者： Alan j. Mccue j.ra Aponaviciute Richard P.K. Wells james A. Anderson Surface Chemistry and Catalysis Group Department of Chemistry University of Aberdeen AB24 3UE Abcrdccn UK Surface Chemistry and Catalysis Group School of Engineering University of Aberdeen AB24 3UE Aberdeen UK

The addition of Au as a promoter/modifier for alumina supported Co catalyst has been studied by combined in-situ high temperature, high pressure Fourier transform infrared （FTIR） and on-line gas chromatography. The combination of these tools permitted the state of the active catalyst surface to be monitored while following the elution of reaction products during the first 5-7 h on stream of the catalyst. The catalysts under study were a 10%Co/ A1203 and a 2.5%Au/10%Co/A1203. Samples were characterised before use using Raman and temperature programmed reduction （TPR）. During the initial stages of reaction, hydrocarbons were built up on the surface of the catalyst as monitored by FTIR and the nature and amount of these species were assessed in terms of CH2/CH3 ratio and the density of these alkyl fragments by employing absorption coefficients for the individual components. The nature and reducibility of the Co particles were modified by the presence of Au while the later also shifted the CO/ H2 balance by acting as an effective water-gas shift catalyst during the early stages of reaction. This characteristic was lost during reaction as a consequence of redistribution of the two metallic phases.

关键词： gold modified catalyst conversion of synthesis gas

Perfusion magnetic resonance imaging of the liver

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World j.urnal of Gastroenterology 2010年第13期16卷 1598-1609页

作者： Choon Hua Thng Tong San Koh David j.collins Dow Mu Koh Department of Oncologic Imaging National Cancer Centre Department of Radiology Royal Marsden NHS Foundation Trust CR UK-EPSRC Cancer Imaging Centre Institute of Cancer Research

Perfusion magnetic resonance imaging (MRI) studies quantify the microcirculatory status of liver parenchyma and liver lesions, and can be used for the detection of liver metastases, assessing the effectiveness of antiangiogenic therapy, evaluating tumor viability after anticancer therapy or ablation, and diagnosis of liver cirrhosis and its severity. In this review, we discuss the basic concepts of perfusion MRI using tracer kinetic modeling, the common kinetic models applied for analyses, the MR scanning techniques, methods of data processing, and evidence that supports its use from published clinical and research studies. Technical standardization and further studies will help to establish and validate perfusion MRI as a clinical imaging modality.

关键词： Magnetic resonance imaging Dynamic contrast-enhanced magnetic resonance imaging Liver Tracer kinetic modeling

Bayesian Deep Learning for Dynamic Power System State Prediction Considering Renewable Energy Uncertainty

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j.urnal of Modern Power Systems and Clean Energy 2022年第4期10卷 913-922页

作者： Shiyao Zhang james j.Q.Yu Academy for Advanced Interdisciplinary Studies Southern University of Science and TechnologyShenzhen 518055China Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China

Modern power systems are incorporated with distributed energy sources to be environmental-friendly and ***,due to the uncertainties of the system integrated with renewable energy sources,effective strategies need to be adopted to stabilize the entire power ***,the system operators need accurate prediction tools to forecast the dynamic system states *** this paper,we propose a Bayesian deep learning approach to predict the dynamic system state in a general power ***,the input system dataset with multiple system features requires the data pre-processing ***,we obtain the dynamic state matrix of a general power system through the Newton-Raphson power flow ***,by incorporating the state matrix with the system features,we propose a Bayesian long short-term memory(BLSTM)network to predict the dynamic system state variables *** results show that the accurate prediction can be achieved at different scales of power systems through the proposed Bayesian deep learning approach.

关键词： Bayesian deep learning data analytics NewtonRaphson power flow renewable energy source system state

The Triple Combination of Meropenem,Avibactam,and a Metallo-β-Lactamase Inhibitor Optimizes Antibacterial Coverage Against Different β-Lactamase Producers

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Engineering 2024年第7期38卷 124-132页

作者： Zhuoren Ling Alistair james Macdonald Farley Aditya Lankapalli Yanfang Zhang Shonnette Premchand-Branker Kate Cook Andrei Baran Charlotte Gray-Hammerton Claudia Orbegozo Rubio Edgars Suna j.rdan Mathias j.rgen Brem Kirsty Sands Maria Nieto-Rosado Maria Mykolaivna Trush Nadira Naznin Rakhi Willames Martins Yuqing Zhou Christopher j.seph Schofield Timothy Walsh Department of Biology&Ineos Oxford Institute for Antimicrobial Research University of OxfordOxford OX13REUK Chemistry Research Laboratory Department of Chemistry and the Ineos Oxford Institute for Antimicrobial ResearchUniversity of OxfordOxford OX13TAUK Latvian Institute of Organic Synthesis Riga LV-1006Latvia Department of Medical Microbiology Division of Infection and ImmunitySchool of MedicineCardiff UniversityCardiff CF144XNUK Enzymology and Applied Biocatalysis Research Center Faculty of Chemistry and Chemical EngineeringBabes-Bolyai UniversityCluj-Napoca 400028Romania

This work explores the potential of a triple combination of meropenem(MEM),a novel metallo-blactamase(MBL)inhibitor(indole-2-carboxylate 58(InC58)),and a serine-b-lactamase(SBL)inhibitor(avibactam(AVI))for broad-spectrum activity against carbapenemase-producing bacteria.A diverse panel comprising MBL-and SBL-producing strains was used for susceptibility testing of the triple combination using the agar dilution *** frequency of resistance(FoR)to MEM combined with InC58 was *** were sequenced and tested for cross resistance,fitness,and the stability of the resistance *** with the double combinations of MEM plus an SBL or MBL inhibitor,the triple combination extended the spectrum of activity to most of the isolates bearing SBLs(oxacillinase-48(OXA-48)and Klebsiella pneumoniae carbapenemase-2(KPC-2))and MBLs(New Delhi metallo-blactamases(NDMs)),although it was not effective against Verona integron-encoded metallo-blactamase(VIM)-carrying Pseudomonas aeruginosa(***)and OXA-23-carrying Acinetobacter baumannii(***).The FoR to MEM plus InC58 ranged from 2.22×10^(-7)to 1.13×10^(-6).The resistance correlated with mutations to ompC and comR,affecting porin C and copper permeability,*** mutants manifested a fitness cost,a decreased level of resistance during passage without antibiotic pressure,and cross resistance to another carbapenem(imipenem)and a b-lactamase inhibitor(taniborbactam).In conclusion,compared with the dual combinations,the triple combination of MEM with InC58 and AVI showed a much wider spectrum of activity against different carbapenemaseproducing bacteria,revealing a new strategy to combat b-lactamase-mediated antimicrobial resistance.

关键词： Carbapenemase Metallo/serine-b-lactamase inhibitor Avibactam Meropenem Antimicrobial resistance

Sun's Log-concavity Conj.cture on the Catalan–Larcombe–French Sequence

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Acta Mathematica Sinica,English Series 2016年第5期32卷 553-558页

作者： james j.Y.ZHAO Center for Applied Mathematics Tianjin University

Let {Pn},n≥0 denote the Catalan-Larcombe-French sequence, which naturally came from the series expansion of the complete elliptic integral of the first kind. In this paper, we prove the strict log-concavity of the sequence { n√Pn}n≥1, which was originally conj.ctured by Z. W. Sun. We also obtain the strict log-concavity of the sequence {n√Vn}n≥1, where {Vn}n≥0 is the Fennessey-Larcombe- French sequence arising from the series expansion of the complete elliptic integral of the second kind.

关键词： The Catalan-Larcombe-French sequence the Fennessey-Larcombe-French sequence logconcavity three-term recurrence relation

Dynamic Modeling of Environmental Systems 1

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Origin of high particle number concentrations reaching the St. Louis, Midwest Supersite

丛书名： Modeling Dynamic Systems

2000年

作者： Michael L. Deaton james j. Winebrake

ISBN: (数字)9781461213000

ISBN: (纸本)9780387988801;9781461270850

Dynamic Modeling of Environmental Systems is a primer on using models to understand environmental problems. With their many natural, economic, political, and technical aspects, environmental problems require a systems approach. This book provides an introduction to modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester Calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate-level environmental science courses. The text is also useful for environmental professionals seeking an introduction to modeling in their field.

关键词： Mathematical Modeling and Industrial Mathematics Environmental Sciences Ecology Applied Ecology Environmental Management Environmental Chemistry

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j.urnal of Environmental Sciences 2015年第8期27卷 219-231页

作者： Benj.min de Foy james j.Schauer Department of Earth and Atmospheric Sciences Saint Louis University Civil and Environmental Engineering University of Wisconsin

Ultrafine particles are associated with adverse health effects. Total Particle Number Concentration（TNC） of fine particles were measured during 2002 at the St. Louis — Midwest supersite. The time series showed overall low level with frequent large peaks. The time series was analyzed alongside criteria pollutant measurements and meteorological observations. Multiple regression analysis was used to identify further contributing factors and to determine the association of different pollutants with TNC levels. This showed the strong contribution of sulfur dioxide（SO2） and nitrogen oxides（NO x） to high TNC levels. The analysis also suggested that increased dispersion resulting from faster winds and higher mixing heights led to higher TNC levels. Overall, the results show that there were intense particle nucleation events in a SO2 rich plume reaching the site which contributed around 29% of TNC. A further 40% was associated with primary emissions from mobile sources. By separating the remaining TNC by time of day and clear sky conditions,we suggest that most likely 8% of TNC are due to regional nucleation events and 23% are associated with the general urban background.

关键词： Atmospheric aerosols Particle number concentrations Fine particles Sulfur dioxide plumes Mobile source emissions

Relations of change in fruit and vegetable intake with overall energy reduction and physical activity with weight change:Assessing theory-based psychosocial mediators

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j.urnal of Sport and Health Science 2019年第4期8卷 394-399页

作者： james j.Annesi Wellstar School of Health and Human Service Department of Health Promotion and Physical Education Kennesaw State University Young Men’s Christian Association of Metro Atlanta

Background'.Increased physical activity and fruit and vegetable(FV)intake are typically suggested to counter *** behavior change in those areas has,however,been poor,possibly because of a lack of understanding of the effects of psychosocial *** data from previous research,this study aimed to better define the role of physical activity and FV intake in short;and long-term weight loss via changes in malleable psychosocial mediators and ***:Women who were obese(n=183;age=50.0±7.9 years;body mass index=35.2±3.2 kg/m2,mean±SD)and who previously participated in 3 different community-based behavioral weight-loss treatments were assessed over 2 *** in FV intake,physical activity,sei^regulation of physical activity and eating(aggregated),negative mood,and weight were measured over 6 and 24 ***'.Changes in each variable over both 6 and 24 months were significant(all p values<0.001).The FV intake to the weight-related caloric intake relationship(β=.0.30,p<0.001)was significantly mediated by selfregulation change over 6 *** physical activity to weightchange relationship(β=.0.46,p<0.001)was significantly mediated by both sei±regulation and mood change over 24 *** activity,itself,accounted for only 16%of weight-related caloric expenditure *** in physical activity and FV intake were each independent predictors of weight change over 24 months(overall R2=0.50,p<0.001).Conclusion-.Findings clarified theory-based targets for weight-management treatments and suggested that future weight-loss treatments strongly focus on developing self-regulatory skills to address barriers to behavioral changes.

关键词： Fruit and vegetable Obesity Physical activity Psychosocial Weight loss