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EPR an. Magn.tic Susceptibility Studies of Cr^(3+) Ion. in.the 70TeO_2·25B_2O_3·5PbO Glass Matrix

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Journ.l of Materials Scien.e & Techn.logy 1997年第5期13卷 374-378页

作者： Petean., M. simon, V. Muresan. n. Ardelean. I. Faculty of Physics Babes-Bolyai University 3400 Cluj-Napoca Romania Dept. of Physics University of Oradea 3700 Oradea Romania

By usin. EPR an. magn.tic susceptibility measuremen.s, the Cr ion.distribution.in.the xCr2O3.(1-x)[70TeO2·25B2O3·5PbO] glasses with 0＜x≤20 mol% was studied. EPR in.estigation.eviden.edthe presen.e of Cr3+ ion. in.agreemen. with the experimen.ally obtain.d atomic magn.tic momen. values. For con.en.ration. x≤3 mol%, the isolated Cr3+ ion. coexist with those coupledby dipole-dipole in.eraction.. For x＞3 mol%, the Cr3+ ion. participate in.superexchan.e in.eraction. an. are predomin.n.ly an.iferromagn.tically coupled.

关键词： PbO Ion. in.the 70TeO2 Glass Matrix EPR an. Magn.tic Susceptibility Studies of Cr Cr

Improvin. Multimodel Weather Forecast of Mon.oon.Rain.Over Chin. Usin. FSU Superen.emble

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Advan.es in.Atmospheric Scien.es 2009年第5期26卷 813-839页

作者： T. n. KRISHn.MURTI A. D. SAGADEVAn.A. CHAKRABORTY A. K. MISHRA A. simon Departmen. of Meteorology Florida State University Tallahassee

In.this paper we presen. the curren. capabilities for n.merical weather prediction.of precipitation.over Chin. usin. a suite of ten.multimodels an. our superen.emble based forecasts. Our suite of models in.ludes the operation.l suite selected by n.ARs TIGGE archives for the THORPEX Program. These are： ECMWF, UKMO, JMA, n.EP, CMA, CMC, BOM, MF, KMA an. the CPTEC models. The superen.emble strategy in.ludes a train.n. an. a forecasts phase, for these the periods chosen.for this study in.lude the mon.hs February through September for the years 2007 an. 2008. This paper addresses precipitation.forecasts for the medium ran.e i.e. Days 1 to 3 an. exten.in. out to Day 10 of forecasts usin. this suite of global models. For train.n. an. forecasts validation. we have made use of an.advan.ed TRMM satellite based rain.all product. We make use of stan.ard metrics for forecast validation. that in.lude the RMS errors, spatial correlation. an. the equitable threat scores. The results of skill forecasts of precipitation.clearly demon.trate that it is possible to obtain.higher skills for precipitation.forecasts for Days 1 through 3 of forecasts from the use of the multimodel superen.emble as compared to the best model of this suite. Between.Days 4 to 10 it is possible to have very high skills from the multimodel superen.emble for the RMS error of precipitation. Those skills are shown.for a global belt an. especially over Chin.. Phen.men.logically this product was also foun. very useful for precipitation.forecasts for the On.et of the South Chin. Sea mon.oon. the life cycle of the mei-yu rain. an. post typhoon.lan.fall heavy rain. an. flood even.s. The higher skills of the multimodel superen.emble make it a very useful product for such real time even.s.

关键词： THORPEX en.emble mean superen.emble TRMM South Chin. Sea mon.oon

Effect of salin.ty an. acidity on.bioleachin. activity of mesophilic an. extremely thermophilic bacteria

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中国有色金属学会会刊：英文版 2008年第3期18卷 714-721页

作者： H.DEVECI M.A.JORDAn.n.powell I.ALP Departmen. of Min.n. En.in.erin. Karadeniz Technical UniversityTrabzon 61080Turkey Camborn. School of Min.s UECTremough CampusPenrynCornwallTR109EZUK

The effects of bacterial strain. salin.ty an. pH on.the bioleachin. of a complex ore usin. mesophilic an. extremely thermophilic bacteria were in.estigated an. the statistical an.lysis of the results was performed usin. ERGUn.s test. The extreme thermophiles were shown.to display superior kin.tics of dissolution.of zin. compared with the mesophiles as con.irmed by the statistical an.lysis. Bioleachin. performan.e of the extreme thermophiles is foun. to improve in.respon.e to the in.rease in.acidity (pH from 2.0 to 1.0) whilst the activity of the mesophiles is adversely affected by decreasin. pH. Statistical an.lysis of the bioleachin. data in.icates that the effect of pH is in.ign.fican. in.the ran.e of pH 1.0-1.2 for the extreme thermophiles an. pH 1.4-2.0 for the mesophiles. Salin.ty is shown.to have a suppressin. effect on.the mesophiles. However, the extreme thermophiles appear to be halophilic in.character as they could operate efficien.ly un.er salin. con.ition. (1%-4%Cl- (w/v)).

关键词：细菌生物浸取盐度 pH 硫化物

Tsun.mi Balls:A Gran.lar Approach to Tsun.mi Run.p an. In.n.ation

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Commun.cation. in.Computation.l Physics 2008年第1期3卷 222-249页

作者： Steven.n.Ward simon Day In.titute of Geophysics an. Plan.tary Physics University of CaliforniaSanta CruzCA 95064USA.

This article develops a n.w,gran.lar approach to tsun.mi run.p an. *** small grain. employed here are n.t fluid,but bits,or balls,of tsun.mi *** careful formulation.of the ball acceleration.,both wave-like an. flood-like behaviors are accommodated so tsun.mi waves can.be run.seamlessly from deep water,through wave breakin.,to the fin.l surge on.o shore an. back *** deep water,tsun.mi balls track accordin. lon. wave ray *** lan.,tsun.mi balls behave like a water *** shallow water,the balls embody both deep water an. on.lan. *** modelin. several 2-D an. 3-D cases,we fin. that wave breakin. gen.rally causes relative run.p to in.rease with beach slope an. wave period an. decrease with in.ut wave *** of their highly n.n.lin.ar n.ture,run.p an. in.n.ation.are best con.idered to be ran.om processes rather than.determin.stic *** an. observation. hin. that for un.form in.ut waves,n.rmalized run.p statistics everywhere follow a sin.le skewed distribution.with a spread between.1/2 an. 2 times its mean.

关键词： Water wave tsun.mi run.up.

Cluster An.lysis for IR an. n.R Spectroscopy: Curren. Practices to Future Perspectives

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Computers, Materials & Con.in.a 2021年第11期69卷 1945-1965页

作者： simon Crase Ben.amin.Hall Suresh n.Then.adil College of En.in.erin. IT&EnvironmentCharles Darwin UniversityCasuarinaNT 0810Australia Defen.e Scien.e an. Techn.logy Group Edinburgh5111Australia En.rgy an. Resources In.titute Charles Darwin UniversityCasuarinaNT 0810Australia

Supervised machin. learn.n. techn.ques have become well established in.the study of spectroscopy ***,the un.upervised learn.n. techn.que of cluster an.lysis hasn.t reached the same level maturity in.chemometric *** paper surveys recen. studies which apply cluster an.lysis to n.R an. IR spectroscopy *** addition.we summarize the curren. practices in.cluster an.lysis of spectroscopy an. con.rast these with cluster an.lysis literature from the machin. learn.n. an. pattern.recogn.tion.*** in.ludes practices in.data pre-processin.,feature extraction.clusterin. distan.e metrics,clusterin. algorithms an. validation.*** con.ideration.is given.to the specific characteristics of IR an. n.R spectroscopy data which typically in.ludes high dimen.ion.lity an. relatively low sample *** fin.in.s highlighted a lack of quan.itative an.lysis an. evaluation.in.curren. practices for cluster an.lysis of IR an. n.R spectroscopy *** this in.min.,we propose an.an.lysis model or workflow with techn.ques specifically suited for cluster an.lysis of IR an. n.R spectroscopy data alon. with a pragmatic application.strategy.

关键词： Chemometrics cluster an.lysis Fourier tran.form in.rared spectroscopy machin. learn.n. n.ar in.rared spectroscopy un.upervised learn.n.

Feature Selection.for Cluster An.lysis in.Spectroscopy

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Computers, Materials & Con.in.a 2022年第5期71卷 2435-2458页

作者： simon Crase Ben.amin.Hall Suresh n.Then.adil College of En.in.erin. IT&EnvironmentCharles Darwin UniversityCasuarinaNT 0909Australia Defen.e Scien.e an. Techn.logy Group Edinburgh5111Australia En.rgy an. Resources In.titute Charles Darwin UniversityCasuarinaNT 0909Australia

Cluster an.lysis in.spectroscopy presen.s some un.que challen.es due to the specific data characteristics in.spectroscopy,n.mely,high dimen.ion.lity an. small sample *** order to improve cluster an.lysis outcomes,feature selection.can.be used to remove redun.an. or irrelevan. features an. reduce the ***,for cluster an.lysis,this must be don. in.an.un.upervised man.er without the ben.fit of data *** paper presen.s a n.vel feature selection.approach for cluster an.lysis,utilizin. clusterability metrics to remove features that least con.ribute to a dataset’s ten.en.y to *** version. are presen.ed an. evaluated:The Hopkin. clusterability filter which utilizes the Hopkin. test for spatial ran.omn.ss an. the Dip clusterability filter which utilizes the Dip test for *** n.w techn.ques,alon. with a ran.e of existin. filter an. wrapper feature selection.techn.ques were evaluated on.eleven.real-world spectroscopy datasets usin. in.ern.l an. extern.l clusterin. *** n.wly proposed Hopkin. clusterability filter performed the best of the six filter techn.ques ***,it was observed that results varied greatly for differen. techn.ques depen.in. on.the specifics of the dataset an. the n.mber of features selected,with sign.fican. in.tability observed for most techn.ques at low n.mbers of *** was iden.ified that the gen.tic algorithm wrapper techn.que avoided this in.tability,performed con.isten.ly across all datasets an. resulted in.better results on.average than.utilizin. the all the features in.the spectra.

关键词： Cluster an.lysis spectroscopy un.upervised learn.n. feature selection waven.mber selection

In.ustrial Structural Chan.es in.Hon. Kon.,Chin. un.er On. Coun.ry,Two Systems Framework

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Chin.se Geographical Scien.e 2012年第3期22卷 302-318页

作者： simon Xiaobin.ZHAO Carola B RAMón.BERJAn. In.ern.tion.l Cen.er for Chin. Developmen. Studies & Departmen. of Geography Faculty of Social Sciencesthe University of Hong KongHong KongChina

Hon. Kon. has un.ergon. substan.ial econ.mic tran.formation. an. developed in.o a sophisticated busi- n.ss an. fin.n.ial cen.er in.the Asia-Pacific region. sin.e the return.of sovereign.y to Chin. as a Special Admin.strative Region.un.er the On. Coun.ry Two Systems （OCTS） in.1997. This paper discusses an. an.lyzes the in.ustrial struc- tural chan.es of Hon. Kon. in.recen. decades as well as its future challen.es an. opportun.ties, The data an. fin.in. reveal that even.though Hon. Kon. will face fierce competition.from the Main.an.＇s cities as the rise of Chin., the importan. role as a bridge between.Chin. an. the rest of the world wilt brace Hon. Kon. itself un.er the OCTS for developin. in.o a service hub for busin.ss an. trade in.the Asia-Pacific region.

关键词： econ.mic tran.formation Hon. Kon. in.ustrial structural chan.es On. Coun.ry Two Systems

Automated measuremen. of movin. grain. on.bed deposits

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作者： n.·西蒙(n. simon)

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In.ern.tion.l Journ.l of Sedimen. Research 2011年第3期26卷 304-317页

作者： Amir H.n.CHEGIn. simon TAIT Lecturer of Civil En.in.erin. Departmen. Faculty of EngineeringUniversity of GuilanMain CampusI.R.of Iran School of En.in.erin. Design and TechnologyUniversity of BradfordBradfordBD7 1DPUK.

The performan.e of gravel bedload predictor equation. is particularly poor.A key reason.for this situation.is the curren. poor un.erstan.in. of the physical mechan.sms that are in.olved in.the en.rain.en. of grain. from water-worked sedimen. *** has been.caused,in.part,by a lack of detailed data on.the behaviour of movin. sedimen. *** this study,observation. of the en.rain.en., tran.port an. deposition.of man. particles from a gravel bed has been.collected an. studied usin. an.image-based *** system was used to measure the motion.of hun.reds of gravel particles movin. as *** paper describes the developmen. of the image-based system an. the data processin. methods used to provide the automated measuremen. of particle *** system was adapted from commercially available PIV equipmen. an. was con.igured to obtain.simultan.ously data for the an.lysis of the movin. grain. an. the n.ar-bed flow *** techn.ques developed are relatively sen.itive to sedimen. colour an. shape by usin. related image processin. algorithms an. so could be applied to n.tural gravel *** results(image data)obtain.d from the techn.ques developed are amen.ed in.a program by usin. two fun.tion.(comman.s)of image processin. called "Label2RGB",an. "Region.rops" which distin.uish the colour an. shape of movin. sedimen. grain. *** data processin. provided in.ormation.that iden.ified in.ividual grain.en.rain.en.s,*** accurately traced the motion.of some,but n.t all,*** show that the system was able to estimate grain.en.rain.en. rates an. in.icate location. of preferen.ial en.rain.en. an. deposition.from data on.hun.reds of in.ividual movin. grain..

关键词： Un.form flow Bed load Sedimen. tran.port Measuremen. Image processin.