                          ˿µϣ20090427գ

09.04.26ûи
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ĿµķΪ
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09.04.27, common sense۽缸ɵķ (1)
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09.04.27, ArchangelκƽڱҽѧԺҽѧԺҽԺĹϵ
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˿(www.xys.org)(xys3.dxiong.com)(www.xysforum.org)(xys2.dropin.org)

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                                ӡ

    Ƶͨ˵ҹνʷƾãҽѧϹ֮
ũݾݸĿҽҩ伮ȷôʯβļأǻ
ǰѴʯҩ˿ڷ˵ܡƽǱ򾪡϶Ŀ
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ǳƭ֡

2009.4.4. 

ѧ硷2009.5.

(XYS20090427)

˿(www.xys.org)(xys3.dxiong.com)(www.xysforum.org)(xys2.dropin.org)

ѧ٣˭Ļ֣

20090424CCTV2չ۲졷

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(չ۲졷۲Ա)

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(ŴѧѧԺڣչ۲졷ԼԱ)

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(XYS20090427)

˿(www.xys.org)(xys3.dxiong.com)(www.xysforum.org)(xys2.dropin.org)

ͨѧ֧ѧٵһݽҷ

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(XYS20090427)

˿(www.xys.org)(xys3.dxiong.com)(www.xysforum.org)(xys2.dropin.org)

ƽһЩ۲

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⼸˿϶һЩڿоۣΪȦˣЩ
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ܵ˵ڿоҼ¼Ҽҷ󲻶ٷ
ƣЩ˲֪ƣظں棬ԽԽңʰ

(XYS20090427)

˿(www.xys.org)(xys3.dxiong.com)(www.xysforum.org)(xys2.dropin.org)

廪ѧչѧϢ͹о

ӣ

ע廪ѧĴרʵʲչѧϢ͹
Institute of Optics, Information and Photonics (Max 
Planck Research Group) .

顣

еҵʶӢѧĸУ

һԭ廪ѧʩһڵһܣιٷϵн廪ѧ
ûĴãףء

http://kerr.physik.uni-erlangen.de/imprs/index.php?show=peopleandpartner

Prof. Dr. Lijun Wang

----------------------------------

Research Interests
high-precision metrology
novel lasers and other light sources
applications of femtosecond lasers in material processing and 
machining Institute of Optics, Information and Photonics (Max Planck 
Research Group) Guenther-Scharowsky-Str. 1, Bau 24
91058 Erlangen Telefon: +49 (0) 9131-6877-200
Fax: +49 (0) 9131-6877-209
E-Mail: lwan@optik.uni-erlangen.de
http://www.optik.uni-erlangen.de/...

***********************************************

http://news.tsinghua.edu.cn/new/news.php?id=20351&home=1

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ظӡҺһǸƽ⡷

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ѣǳźע⵽վ2009425գ죩
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Ƚһ¸оıֵģʽҪڴ׸
ģʽ㷺עIPCCҪģʽ

źǣĿǰкģʽģʽڽΪصĹ⡣
1кģʽģļ¶ƫߣԾƫǳףMartin, 
1985; Kantha and Clayson, 1994; Ezer, 20002ͬ
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ҹԴͬʱҲҪԷƱûбҪгоĳɹ
ͻʵԡ20092̨嵱źֵģʽȨרҡ
˹ٴѧGeorge Mellorڡ㷺Ӱ˹ٺֵģʽߡ
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ҲϣվʱҪģݡоΪ
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ϣߴͽ

12004ѷĲ
2

Һֵһо
ǷоԱ
2009426
qiaofl@fio.org.cn 


12004ѷĲ
1 Surface wave-circulation coupled theory
(1)	Fangli Qiao, Yeli Yuan, Yongzeng Yang, Quanan Zheng, Changshui 
Xia and Jian Ma,2004 Wave-induced mixing in the upper ocean: 
Distribution and application in a global ocean circulation model, 
Geophysical Research Letter,31:L11303,doi:10.1029/2004GL019824.
(2)	Fangli Qiao, Yongzeng Yang, Changshui Xia and Yeli Yuan, 2008. 
The role of surface waves in the ocean mixed layer. Acta Oceanologica 
Sinica, 27(3):30-37.

2Application of Bv in coastal circulation models
(3)	Fangli Qiao, Changshui Xia, Jianwei Shi, Jian Ma, Renfeng Ge 
and Yeli Yuan, 2004. Seasonal variability of thermocline in the Yellow 
Sea, Chinese J. Oceanology and Limnology, 22(3): 299-305.
(4)	Jian Ma and Fangli Qiao, 2004, Simulation and analysis on 
seasonal variability of average salinity in the Yellow Sea, Chinese J. 
Oceanology and Limnology, 22(3): 306-313.
(5)	Jian Ma, Fangli Qiao, Changshui Xia and Yongzeng Yang, 2004. 
Tidal effects on temperature front in the Yellow Sea, Chinese J. 
Oceanology and Limnology, 22(3): 314-321.
(6)	Changshui Xia, Fangli Qiao, Mengning Zhang, Yongzeng Yang and 
Yeli Yuan, 2004. Simulation of double cold cores of the 35N section 
in the Yellow Sea with a wave-tide-circulation coupled model, Chinese J. 
Oceanology and Limnology, 22(3): 292-298.
(7)	Fangli Qiao, Jian Ma, Changshui Xia, Yongzeng Yang and Yeli 
Yuan,2006. Influence of the surface wave-induced and tidal mixing on 
vertical temperature structure of the Yellow and East China Seas in 
summer, Progress in Natural Science167739-746.
(8)	Qiao, F., Y. Yang, X. L, C. Xia, X. Chen, B. Wang, and Y. 
Yuan (2006), Coastal upwelling in the East China Sea in winter, J. 
Geophys. Res., 111, C11S06, doi:10.1029/2005JC003264.
(9)	Xia, C., F. Qiao, Y. Yang, J. Ma, and Y. Yuan (2006), 
Three-dimensional structure of the summertime circulation in the 
Yellow Sea from a wave-tide-circulation coupled model, J. Geophys. Res., 
111, C11S03, doi:10.1029/2005JC003218.
(10)	L, X., F. Qiao, C. Xia, J. Zhu, and Y Yuan (2006), 
Upwelling off Yangtze River estuary in summer, J. Geophys. Res., 111, 
C11S08, doi:10.1029/2005JC003250.
(11)	Ma, J., F. Qiao, C. Xia, and C. S. Kim (2006), Effects 
of the Yellow Sea Warm Current on the winter temperature distribution 
in a numerical model, J. Geophys. Res., 111, C11S04, 
doi:10.1029/2005JC003171.
(12)	L Xingang, Fangli Qiao, Changshui Xia, Yeli Yuan, 
2007, Tidally induced upwelling off Yangtze River estuary and in 
Zhejiang coastal waters in summer. Sci. China Ser. D - Earth Sci., 
50(3), 462-473. doi: 10.1007/ s11430-007-2050-0.
(13)	L, X., F. Qiao, G. Wang, C. Xia, and Y. Yuan (2008), 
Upwelling off the west coast of Hainan Island in summer: Its detection 
and mechanisms, Geophys. Res. Lett., 35, L02604, 
doi:10.1029/2007GL032440.
(14)	Guansuo Wang and Fangli Qiao, 2008. Ocean Temperature 
Responses to Typhoon Mstsa in the East China Sea. Acta Oceanologica 
Sinica,27(4):26-38. 

3 Application of Bv in global ocean circulation models
(15)	Changshui Xia, Fangli Qiao, Qinghua Zhang and Yeli Yuan, 
2004. Numerical modelling of the quasi-global ocean circulation based 
on POM, Journal of Hydrodynamics16(5):537-543.

4 Application of Bv in climate models
(16)	Zhenya Song, Fangli Qiao, Yongzeng Yang and Yeli 
Yuan,2007, An improvement of the too cold tongue in the tropical 
Pacific with the development of an ocean-wave-atmosphere coupled 
numerical model, Progress in Natural Science17(5):576-583.
(17)	ǣǷΰ2009»϶CCSM3ģʽԤ
ĸĽȻѧչ192203211
(18)	Chuanjiang Huang, Fangli Qiao and Zhenya Song, 2008. 
The effect of the wave-induced mixing on the upper ocean temperature 
in a climate model. Acta Oceanologica Sinica, 27(3):104-111.

2ʱڴΪԭ
1 һDr. Xiaopei Linйѧڶ
ĴѧShang-Ping Xieڣںоѧҡֱ
ӦõǵķԲļĽķJ. of 
Geophysical Research
Lin et al(2006, JGR)ֱӽ÷ӦõXiaopei Lin, 
Shang-Ping Xie, Xinping Chen, and Lingling XuA well-mixed warm water 
column in the central Bohai Sea in summer: Effects of tidal and 
surface wave mixingJ. of Geophysical Research, VOL. 111, C11017, 
doi:10.1029/2006JC003504, 2006ģЧ˱ʱ仯ͼ6a7a
ϣWe include the Qiao-Yuan scheme for the wave-induced mixing in 
our numerical study. Following Qiao et al. [2004b, 2006], we add the 
wave-induced mixing coefficient Bv calculated from the MASNUM wave 
model to the coefficient derived from the Mellor-Yamada scheme

2BabaninڰĴSwinburne University of TechnologyǺ
רҡ
Babanin2006 GRLA. V. BabaninOn a wave-induced turbulence 
and a wave-mixed upper ocean layerGeophysical Research Letters, VOL. 
33, L20605, doi:10.1029/2006 GL027308, 2006Ϊ˵öϲ㺣
ҪָµҪ뷨Qiao(2004,GRL)һ¡Qiao et al. [2004] 
brought in wave-induced turbulent viscosity and applied it in a global 
ocean circulation model to predict the upper-ocean mixing. To solve 
the closure problem, they introduced the mixing length of the 
wave-induced turbulence proportional to the range of the wave particle 
displacement. This is quite the same idea as that of the present paper 
where the problem is approached on the basis of experimental evidence 
and the wave-amplitude-proportional turbulent scale follows from our 
Reynolds number hypothesis.

3MatsunoձKyushu UniversityرǴ
רҡ
Matsunoȣ2006 JGRTakeshi Matsuno, Joon-Soo Lee, Manabu 
Shimizu, Sang-Hyun Kim,and Ig-Chan PangMeasurements of the turbulent 
energy dissipation rate E and an evaluation of the dispersion process 
of the Changjiang Diluted Water in the East China SeaJ. of 
Geophysical Research, VOL. 111, C11S09, doi:10.1029/ 2005JC003196, 
2006ڶĴϹ۲Ϊ뺣˻ϡThe 
significant large value of  dropped to 1/100 beneath the pycnocline, 
which agree with the argument suggested by Qiao et al(2004).

4PolnikovԶ˹ѧԺOboukhov Institute of Atmospheric 
Physicsרҡ
Polnikovȣ2006Ocean ModellingV.G. Polnikov a, P. Tkalich 
Influence of the wind waves dissipation processes on dynamics in the 
water upper layerOcean Modelling, 11193C2132006ΪС߶˶
ݾʹϷǳҪ

5Ruixin HuangWoods Hole Ocenographic Institution
ǺĹרҡ
Huang et al(2007, JGR)Huang, R. X., C. J. Huang, and W. Wang, 
Dynamical roles of mixed layer in regulating the meridional mass/heat 
fluxes, J. of Geophysical Research, 112, C05036, 
doi:10.1029/2006JC004046, 2007Ϊǽͳģʽ뺣ģʽ
ϿṩĶѧͼ It is speculated that a 
direct coupling between the traditional ocean general circulation 
model(OGCM) and a surface wave model (SWM) may provide a much better 
dynamical picture of the oceanic circulation [e.g., Noh et al., 2002; 
Qiao et al., 2004]. 

(6) Ų`ѧArild SundfjordڲʿУ37ҳһ
Ҫǲ˵áQiao et al(2004) defined a wave-induced 
vertical diffusivity from the Reynolds stress expression. When adding 
this to the diffusivity calculated from the MY scheme they reported 
improved simulation of temperature distribution in the upper 100m. 
This should also be tested in future SINMOD simulations with the MY 
scheme, possibly with an adaption for the region close to the ice 
edge.ʽ2008, Deep Sea Research ϵƵ
ãQiao et al. (2004) defined a wave- induced vertical diffusivity 
from the Reynolds stress expression. When adding this to the 
diffusivity calculated in the MY scheme they reported improved 
simulation of temperature distribution in the upper 100m.

(XYS20090427)

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ӡҺһǸƽ⡷Ŀ

ߣSCS

֪Ǻʲôרҵģѧﻹǵʣ֪
ûﺣﺣڶоʿ
֮ǰҾûҪһΪ졣Ȳ⻰һ㶼ǰѡҺ
һоһտеġҺһ
תˡ

һƼԺʿУԺʿöΣ
˾ǸԿѧϽˡ

ƳһǷҳٿһƪJGRġˡ
ۡJGRǵѧTop Journal֮һпPPTͺֱ
ҳĿġ¶̬
(92)           Xia, C., F. Qiao, Y. Yang, J. Ma, and Y. Yuan (2006), 
Three-dimensional structure of the summertime circulation in the 
Yellow Sea from a wave-tide-circulation coupled model, J. Geophys. Res., 
111, C11S03, doi:10.1029/2005JC003218.
PPTַ
http://www.fio.org.cn/department/personal/qflweb/zui_xin_dong_tai/coup
lemodel1.ppt

һۻϿɣʱǷ£ڹԻϽ
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ں󻷾仯Ԥ˵ǽһжû
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ǻʹȻϸЩĻʵᷢÿ仰д
ִ硣Ȼƭ˳⡣

֮ڱӦѧڵ⣬ݺӡҪ
֢ڣһʲôѧܰѧʲôģ
ˡ

psѧϵĳѣûֵ̫Ҫ
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۽缸ɵķ (1)

ߣcommon sense

˴۽缸ɵķ (1)̲ס߼Ͻѵѵ
ߡСġ䡣˼άˮƽľͲҪдȥˣͽѣ
ӦĿġ˲ۣΪӦcommon sense
ƾ˵䡰ġ

ΪӦ2 ĺ٣ 꾫ӽ쿪ʼԹڿ۽ļ
һҪķ

Ҫķأ𣿿˵һλΪСġҪ
ʵǲƤ¶⡣ôõĿͷΣʵڡ䲻ϡġ
ҽ顰Сġ֮ǰһѧдγ̡ѧУûΣƼһ
Ŀһ黹ߵģJanice R. MathewsRobert W. Matthewsд
Successful scientific writing : a step-by-step guide for the 
biological and medical sciences AmazonۡܶѧУͼҲС
һǰǡġСʹ˼άͺٶҲãѼʮ
飬û˵ֵøܸıԵġ

ȣ㽭ѧͺҽΪ㽭ѧڹڿ빤̽
൱ ǹԺԺʿ ˵ҪֽЩ
 ϱ˺ܻᴦϵ ԵԺʿҪ˵ˮƽΪ᲻
LMI ֪ʲô

С൱һͰѺ˵˻¡˵ĵĽ
ڵѧ൱ǲǸ
ͬʲôҩôɫʵľְ˿ͷҲ֪
СġѾԼ˰ӣǹȥˡȻ˵СġԼ
Ϊԡذ߼ϵˣ˾䡰Ҫ˵ˮƽΪ
᲻͵ԼԼ͡ٿһתۣһᡰ˵һ
Ϊ λү˭ĵһϻǿӰӡ
ˮƽ˿ҪԿ¶棬ԺдȵЩǣҲ֪
Ŀ proposalôдġ

ǰļۿ硶ӦáԶѧ
ߡÿһڶ൱£ ˿бȥ
ڿȥѽ

⼸仰һȻʮĿٷչ˵
˴ˮƽԭһʵsciһtopڿ
ڹڴѧǵһ֮䣬ʹлУҲ¡ң
ڿϷҲǳ飬Ǵٽѧɹչʾͽ
ġʾ󷢵ǡˮЩ֪˿Ϊ棬
һǸЦ˿𡱡бȥǰġ 
ӽݡ

ҲLMI ҵģ ˮƽеʤԪ͸߻Ҫ

˼lmiôˣǸˮƽıȽϣõĵݣһ
Ī

֮㽭ѧҲڹЩɼ˶ֽһϲͨ㽭
ѧµĹ˾ӪҲ˽⣩ ڿϲûне
ɹвٻ⣬һͶ ڹʿ۽Ĺ
Ӱ졣

עõ㽭ѧ޿̡ͷԿ
ۣ˵濪ڱտһ㽭ѧ˵ҳҪо
ԵģĪǡСġԵľ㽭ѧĪڳ϶ֽ
һϲͨˣʲôʸÿĹأ
˵ԣһҪоԵġְͰˮ˵ĺã
ǡķϻ

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κƽ۹ڱˡ

ߣκƽ

ظ෽ָͬһгɹڲͬͬý
ΪһصѧΥΪԶһͶء൥
λĽѾȷֹΪһ㣬ֻҪڰٶϼ롰
෽ظ෽Ϳҵݡ

˿330շ׵¡ֻ̤Ƹ
ڲͬطظȷ˵Ϊ˿ϱһͶ
صöࡣ

˿ȥ1223շݵ¡Ϻͨѧ
ظ˵һͶѧܣһ౨Ҳѧ
ܣҹеıԺظǺܶģǸѧܡ

ЩƼûȷ涨ظ෽й
ϵȱݣӦͨ޸ļֲġ˿ı䲻ظ෽ѧ
ΥʡʵϣԽԽĵλԼĽУѾѽֹظ
ȷд˽ȥ

ѡһԱ˵Щλǹһ걨ദģֻ
Ҫ걨涨ûнֹͬһڲͬʱ걨

ʳҽѧԺ֮⣬ЩλԼĿԱһ
ദġ

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κƽڱҽѧԺҽѧԺҽԺĹϵ

ߣArchangel

    ڸУĶ֪һ걨ģ󲿷ֹҼҪһ
걨ʡ걨Ҽκƽڵʦѧûй
Ψһ격ģǱҵѧģ˽ⱨĳ
пԭˡѵʦѧʦѧҲû걨𣿺ͿƼ
һѧɹҲǴʡҼ걨ǳʶҲ
ģһĹ涨ǣһĿûȡʡ
걨ҼĲȫձġҽѧԺĽ걨Ƿ
ϳġ 

    ҽѧԺҽѧԺҽԺĹϵѾ˵Ĺˡ¼
λĹϵκʶʡʡʡί֯ѯʡ
ϵ51ˡ

    ЩʶԵ⣬ûн͵ıҪλαƽΨ
ңϲǷǣʵġȻҲҪлλαƽҽѧԺ
ǲ

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MSCIظʦڡϺͨѧҽѧԺһƪٵSCIġۡ

ߣʦ
    
     MSCIӣXYS20090418 ϺͨѧҽѧԺһƪٵ
SCIġڱ˶ͳƼȤԼĿѡҵĿ
(XYS20090423)ظܽᡣҶĻظڡܹԽԽġĹ
㣬ظ˵Ŀο

    JiaoȵǷԼMSCIΪJiao ȵٵ⣬
Ŀģ

    (1) JiaoȵANOVAеthe least significant difference test
飬MSCIҪ(Jiaoṩķǳ޵ݣһľֵSD)
tȥ JiaoȵĽǷȷJiaoȵѡķǺ
ģݷнһƵıҪJiaoôʲĵطMSCIķ
Jiaoȵʵġ

    (2)ϣ޷жǷ١MSCIָ Jiaoɲ㡣
ԭʼݣ SPSS11.5analysis of variance (ANOVA)еthe least 
significant difference test 飬ͿJiaoĵĽP<0.05Ƿȷ
һݷ 

    (3)ѧٱֳޣһҪоݡ
 
    ǹMSCIġظĴ𸴡ΪMSCIԭģ е
Ǳ˵Ĵ𸴡


----------------------------------------------------------------------------

ǳлӵȤѡ

Ĺ۵ܽ£
   ܽ˵Ĺ۵г롣ݡ(Jiaoûг
     ֵ)Jiaoṩ(JiaoȵѱĽ)
     ͳƷϷ Jiaoȵе۶ϡMSCIݱ˵
    µõĽõۡԽۻJiao١
     ĻⲻǱġ

1. ˫tĻPȷʵ0.05ǵĴ١
     pֵûздֻǸһľֵSDݵóĽ
       5δ֪޷һķжϣź, MSCI˱˵
       ź޷֧MSCIۡ
2. tĻPȷʵҲ0.05ǵҲ١
      ͬϡ 
3. ΪǵݸʺANOVA
      JiaoõANOVAеthe least significant difference test
        ΪJiaoȵANOVAӦһֺѡ񡣡
4. Ϊͼ1ANOVAõPֵȷС0.05
      ҵԭдġJiaoȵԭûṩԭʼ, ޴ж
        JiaoȵõpֵǷȷֱϴǵFig1ʾ Jiaoȵ
        p<0.05ۿǻȷġ޷жpֵȷС0.05 
        ֱϿҲֻпȷܽpֵȷС0.05 ˵˵
        ܽỹбʵĲ졣˵ԭĵ4еĴܽĻ
        ıΪ׼

Ϊǿû١
       ˲֧MSCIķóJiaoٵĽۡ

ҪͶע⼸㣺

1. JiaoȵоǡLiposome񡱶SPIOȵЧʵӰ졣
      Jiaoȵԭġ

2. SPIOŨȿSPIOЧʣѾǹϵʵ
      У

3. еANOVAءSPIOŨȡ͡Liposome񡱣
       Լ֮Ľ
      ͨġ

4. ͼ1жϣANOVAõPֵС0.05ôΪоLiposome
     ǷӰSPIOЧʣҪPost-Hoc Comparisionǹ
    SPIOŨȡءPost-HocõPֵС0.05Liposome
     ءPost-HocõPֵǺѹơ
    ANOVAõpֵС0.05ӦýһPost-Hoc Comparisionȷ
     졣ȷûԭʼݣ޷һĹơ ܵ
     мм鲻ôˣ Jiaoȵڱ
     ˿make senseģֻݲܽһжϺͽۡ

5. ӣ͵ANOVAõPֵ͡Post-Hoc
     ϡõPֵΪûԭʼݣԵΪ
     ȫûġ
    pֵȷʵͬɴƶJiao͵٣δǣǿ
      йĶṩԭʼݵġ˿ͬ
      ظõͬĽ(עظζҪõԭȫͬ
       )ǿŵģһҪȥ˼ҵԭʼݡ
      ͬ޷ظ飬ԭֵûɡ

6. 鷳ǣ仰¶ţ

At each concentration, cells that were incubated with SPIO in the 
presence of liposomes absorbed more iron than those incubated in SPIO 
alone (P<0.05).

仰˼ǷΪSPIOŨΪ20ug/ml, 40ug/ml, 100ug/ml, 
120ug/ml, 140ug/ml, 200ug/ml£Liposome롰
LiposomeȣЩŨSPIOЧ(Ǻ)
JiaoӦڵõpֵС0.05£һPost-Hoc Comparision
      жʲôŨ±ЧʻߡJiaoûбǷ
      Post-Hoc ComparisionJiaoȵġeachMSCIġȫжϡ
      Ҫ񶨡eachߡֻҪҵһɡ

7. ߵֻۣ1ʵ飬ҲSPIOΪ120ug/ml
飬ʵҲӦá֤ʵLiposomeĴSPIOЧʡ
    ֻһMSCIt֤ڵJiaoȵ
      һ飬6飬tͲˡһҪòʵķȥ
      JiaoȵĽ˼٣ǲ޳ġ

8. ǡǡṩµʵݣ

For example, when islets were incubated with SPIO at an iron 
concentration of 120ug/ml, the mean cellular iron content (pg iron per 
cell) was 13.88+/-2.48 in the presence of liposomes versus 
11.68+/-3.42 for SPIO alone.
    ṩĲԭʼݣݵľֵSD

9. ʵƣtˡ
    ضһԽt飬Ŀʲôοjiao
     6顣òʵķ̫ܵõɿĽۡ 

10. ԽۻJiao١
     ĿǰеͳƵĹ۵㿴ҪõJiaoȵѵġ

          Ϊ˵ķоܵͨ׵ͳ֪ʶ
          JiaoȵıȫƴʡeachԼķȷʵеôʲ
      ׵ȱӦеݷֻ֧֡һٶ£MSCIļ
      ûдMSCI÷ȫƴʡİ취ȷJiaoȵҲǲ
      ȡġΪԭJiaoȣMSCIԼ˶ǴͳƵĽǶȷ
      Ľ pֵжϡȻԽԽҪ
      ʲôΪʹ壬ҪͳƼʲô
      ԭ(H0)Ͷ(Ha)ʲôJiaoȵԼжֲͬ
      ᷨ
       
      (a) H0: Liposome벻LiposomeȣSPIOǵƽЧʲ 
               <-->
          Ha: Liposome벻LiposomeȣSPIOƽЧ

      (b) H0: Liposome벻LiposomeȣSPIOƽЧʲ 
               <-->
          Ha: Liposome벻Liposomeȣκ¶SPIO
              Ч 

       ȻоٳһЩ衣
      
       Jiaoȵԣͨѡ(a)ǱȽϺʵģ(i)ANOVAеthe 
       least significant difference testH0֮(p<0.05)(ii)
       Post-Hoc ComparisionȷǼ(SPIO
       )Ǽ첻ɡźJiao
       пֻ(i), ûбһļҽеȫƴ
      eachʹò

       Ȼͼ(a)ANOVAеthe least significant 
       difference testH0֮(p<0.05), JiaoȵĽۿɽ׼ȷıΪ
      (5%ˮƽ֮£)Liposome벻
       LiposomeȣSPIOƽЧˡ и
       ʹSPIOıЧûߡ߲ͣ Jiaoļ
       ĽҲǿԽܵġΪǴƽĽǶġ

       ûر˲²JiaoʹõSPSS11.5ANOVAеthe 
       least significant difference testĬϼ裬˵ļ(a). 
       
              
       ѡ(b)Ļ(i)ķH0󣬽ܼHaĴ̫ߣҪ֤ÿһ
       ԱмLiposome벻LiposomeȣSPIOǵЧʶҪߡ
       ѧƺǲ̫ܵġҲMSCIͨ(b)еHa϶
       Jiaoٵ߼MSCI߼ȷģѡ(b)ʽ
       еHaʵдߣвͨ

       MSCIҪJiaoȵ6еÿһıЧʶҪߣJiao
       бнͳƷԣûеҪ Jiao
       ơAt each .... (MSCI6һӢ)ıǲϽġ
       MSCIɴ϶Jiaoеͷˡ

       ҲǱ˴ݺͷĽжϣ֧MSCIJiaoȵ
       ٵĽۡ

ƪٵ⣬Ѿ־磬Ϻͨѧӳ
    ٵļҪӳҪء

 ־ڵ飬ͨѧܾе飬ͨѧҪǹݣȻ
     ѧ
    ݲ漰ҵ߱ܣݣͨͿԸжϡ
      ־tJiaoȵٵĽۣųʽ
      ֮ۡ

ڹ֪ҽѧվ԰ҷ£Ǻܿ⵽ԭɾ
    ªţ֪Ϊ԰
ƺҽѧͳ൱רҵǺۣͨרҵ֪ʶ
Jiaoٵ⡣
    һҽѧͳƣ˵Ŀο 
ܹԽԽġ
     ͬ⣡ҲǻظӵԵɡ

Ϊ˼ӿ콻ٶȣԵҵרⲩ
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