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Chinese Chemical Letters 2022年第5期33卷 2579-2584页

作者： Zihao Chen Ben Chong nathan wells Guidong Yang Lianzhou Wang XJTU-Oxford International Joint Laboratory for Catalysis School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049China School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnology the University of QueenslandQLD 4072Australia

Adjusting the electronic structure of graphitic carbon nitride(g-C_(3)N_(4))photocatalyst throughπ-πconju-gation is an effective method to achieve efficient photogenerated carrier *** key challenge ofπ-πconjugation control is to tune the degree of such conjugation without destroying the g-C_(3)N_(4)*** we report a conceptual design that achieves a coplanar heterojunction by enhancing theπ-πconjugation via the doping of crystalline g-C_(3)N_(4)using a conjugated double bond ring molecule,1,3,5-benzenetriol,during calcination *** selection of the dopant enables the facile creation of a unique coplanar heterojunction which not only retains the pristine network structure of g-C_(3)N_(4),but remarkably promotes separation and transfer of photogenerated carriers through the enhancedπ-conjugated endogenous electric *** a result,the new g-C_(3)N_(4)photocatalyst efficiently photocatalyti-cally produces hydrogen from water under visible light irradiation with a high H 2 production rate up to 94.94μmol/h,and a notable external quantum efficiency of 16.4%at 420 nm.

关键词： g-C_(3)N_(4) Charge separation Coplanar heterojunction Enhancedπ-πconjugation Photocatalysis

Precise genome-editing in human diseases:mechanisms,strategies and applications

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Signal Transduction and Targeted Therapy 2024年第3期9卷 1065-1085页

作者： Yanjiang Zheng Yifei Li Kaiyu Zhou Tiange Li nathan J.VanDusen Yimin Hua Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE Department of PediatricsWest China Second University HospitalSichuan UniversityChengduSichuan 610041China Department of Cardiovascular Surgery West China HospitalSichuan UniversityChengduSichuan 610041China Department of Pediatrics Herman B Wells Center for Pediatric ResearchIndiana University School of MedicineIndianapolisIN 46202USA

Precise genome-editing platforms are versatile tools for generating specific,site-directed DNA insertions,deletions,and *** continuous enhancement of these tools has led to a revolution in the life sciences,which promises to deliver novel therapies for genetic *** genome-editing can be traced back to the 1950s with the discovery of DNA’s doublehelix and,after 70 years of development,has evolved from crude in vitro applications to a wide range of sophisticated capabilities,including in vivo ***,precise genome-editing faces constraints such as modest efficiency,delivery challenges,and off-target *** this review,we explore precise genome-editing,with a focus on introduction of the landmark events in its history,various platforms,delivery systems,and ***,we discuss the landmark events in the history of precise ***,we describe the current state of precise genome-editing strategies and explain how these techniques offer unprecedented precision and versatility for modifying the human ***,we introduce the current delivery systems used to deploy precise genome-editing components through DNA,RNA,and ***,we summarize the current applications of precise genome-editing in labeling endogenous genes,screening genetic variants,molecular recording,generating disease models,and gene therapy,including ex vivo therapy and in vivo therapy,and discuss potential future advances.

关键词： precise generating editing

Machine learning predictions of irradiation embrittlement in reactor pressure vessel steels

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npj Computational Materials 2022年第1期8卷 795-805页

作者： Yu-chen Liu Henry Wu Tam Mayeshiba Benjamin Afflerbach Ryan Jacobs Josh Perry Jerit George Josh Cordell Jinyu Xia Hao Yuan Aren Lorenson Haotian Wu Matthew Parker Fenil Doshi Alexander Politowicz Linda Xiao Dane Morgan Peter wells nathan Almirall Takuya Yamamoto G.Robert Odette Materials Science and Engineering Department University of Wisconsin-MadisonMadisonWI53706USA Hierarchical Green-Energy Materials(Hi-GEM)Research Center National Cheng Kung UniversityTainan70101TaiwanCHINA Materials Science and Engineering Department National Cheng Kung UniversityTainan70101TaiwanCHINA Mechanical Engineering Department University of CaliforniaSanta BarbaraCA93106USA

Irradiation increases the yield stress and embrittles light water reactor(LWR)pressure vessel *** this study,we demonstrate some of the potential benefits and risks of using machine learning models to predict irradiation hardening extrapolated to low flux,high fluence,extended life *** machine learning training data included the Irradiation Variable for lower flux irradiations up to an intermediate fluence,plus the Belgian Reactor 2 and Advanced Test Reactor 1 for very high flux irradiations,up to very high ***,the machine learning model predictions for the high fluence,intermediate flux Advanced Test Reactor 2 irradiations are superior to extrapolations of existing hardening *** successful extrapolations showed that machine learning models are capable of capturing key intermediate flux effects at high *** approaches,applied to expanded databases,could be used to predict hardening in LWRs under life-extension conditions.

关键词： life irradiation expanded

Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India

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Journal of Geoscience and Environment Protection 2017年第3期5卷 99-124页

作者： N. Suresh nathan R. Saravanane T. Sundararajan Department of Civil Engineering Pondicherry Engineering College Puducherry India

With respect to groundwater deterioration from human activities a unique situation of co-disposal of non-engineered Municipal Solid Waste (MSW) dumping and Secondary Wastewater (SWW) disposal on land prevails simultaneously within the same campus at Puducherry in India. Broadly the objective of the study is to apply and compare Artificial Neural Network (ANN) and Multi Linear Regression (MLR) models on groundwater quality applying Canadian Water Quality Index (CWQI). Totally, 1065 water samples from 68 bore wells were collected for two years on monthly basis and tested for 17 physio-chemical and bacteriological parameters. However the study was restricted to the pollution aspects of 10 physio-chemical parameters such as EC, TDS, TH, , Cl-, , Na+, Ca2+, Mg2+ and K+. As there is wide spatial variation (2 to 3 km radius) with ground elevation (more than 45 m) among the bore wells it is appropriate to study the groundwater quality using Multivariate Statistical Analysis and ANN. The selected ten parameters were subjected to Hierarchical Cluster Analysis (HCA) and the clustering procedure generated three well defined clusters. Cluster wise important physio-chemical attributes which were altered by MSW and SWW operations, are statistically assessed. The CWQI was evolved with the objective to deliver a mechanism for interpreting the water quality data for all three clusters. The ANOVA test results viz., F-statistic (F = 134.55) and p-value (p = 0.000 2, low RMSE and MAE values but in Cluster 3 only ANN model fared well. Thus this study will be very useful to decision makers in solving water quality problems.

关键词： Canadian Water Quality Index Multi-Linear Regression Artificial Neural Network Simulation Comparison

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澳大利亚煤层甲烷项目为未来发展提供了路标

经济导报（石油天然气） 2009年第3期 49-53页

作者： nathan C. Shahan Reservoir Engineer and John G. Hattner Senior Geoscientist Netherland Sewell Associates Inc

随着美国保德河和圣胡安盆地裸眼煤层甲烷项目的成功开发，20世纪90年代末，澳大利亚的经营者们开始钻探裸，眼垂直并。此后的几年间，澳大利亚早期煤层甲烷经营者凭借着自身的聪明才智、积极创造和灵活变通，使气井设计取得了世界上其... 详细信息

随着美国保德河和圣胡安盆地裸眼煤层甲烷项目的成功开发，20世纪90年代末，澳大利亚的经营者们开始钻探裸，眼垂直并。此后的几年间，澳大利亚早期煤层甲烷经营者凭借着自身的聪明才智、积极创造和灵活变通，使气井设计取得了世界上其它任何煤层甲烷开发项目中前所未有的进展。这些经营者目前正在实施结构复杂的多层多边地表内层（SIS）气井设计，这种设计有望开采全球的煤层甲烷储层。

关键词：澳大利亚甲烷煤层 20世纪90年代末路标经营者设计气井