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Editoria. for th. s.ecia. Is.ue on Emerging Tech.ology a.d a.va.ced a.plica.ion of Nondes.ructive Detection for Power Equipment

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Ch.nes. Journa. of Electrica. Engineering 2024年第1期10卷 1-2页

作者： Li J. Mei h. Li s. Tia.jin Univers.ty China Ts.ngh.a.s.enzh.n Interna.iona. Gra.ua.e s.h.ol China La.zh.u Jia.tong Univers.ty China

Th. ra.id development of clea. a.d renewa.le energy tech.ologies.repres.nted by wind a.d s.la. energy,a.2}well a.2}th. continuous.growth.of loa. dema.d,h.ve put forwa.d h.gh.r requirements.for th. s.fe opera.ion of th. power *** performa.ce of power equipment ba.2}d on tra.itiona. dielectric ma.eria.s.is.often limited by va.ious.defects.genera.ed during molding,tra.s.orta.ion,a.2}embly,a.d opera.ion,wh.ch.ca.not meet th. relia.ility requirements.of power s.s.ems.in th. new *** detection is.a. es.entia. tech.ica. meth.d in indus.ria. development,wh.ch.ca. detect a.d eva.ua.e th. defect a.d da.a.e s.a.us.of in-s.rvice equipment,key components.a.d ma.eria.s.with.ut da.a.ing th. object.

关键词： s.rvice a.plica.ion opera.ion

Res.a.ch.onMa.euver Decis.on-Ma.ing ofMulti-a.ent a.vers.ria. Ga.e in a.Ra.dom Interference Environment

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Computers. Ma.eria.s.a.d Continua 2024年第1期81卷 1879-1903页

作者： h. s. Ru L. Lu B. Wa.g Z. Zh.o X. Wa.g W. Xi h. Equipment Ma.a.ement a.d Ua. Engineering College Air Force Engineering University Xi'an 710051 China Na.iona. Key La.ora.ory of Unma.ned a.ria. Veh.cle Tech.ology Xi'an 710051 China College of Informa.ion Tech.ology Nanjing Police University Nanjing 210023 China

Th. s.ra.egy evolution proces. of ga.e pla.ers.is.h.gh.y uncerta.n due to ra.dom emergent s.tua.ions.a.d oth.r externa. dis.urba.ces. Th.s.pa.er inves.iga.es.th. is.ue of s.ra.egy intera.tion a.d beh.viora. decis.on-ma.ing a.ong ga.e pla.ers.in s.mula.ed confronta.ion s.ena.ios.with.n a.ra.dom interference environment. It cons.ders.th. pos.ible ris.s.th.t ra.dom dis.urba.ces.ma. pos. to th. a.tonomous.decis.on-ma.ing of ga.e pla.ers. a.1}well a.1}th. impa.t of pa.ticipa.ts. ma.ipula.ive beh.viors.on th. s.a.e ch.nges.of th. pla.ers. a.nonlinea. ma.h.ma.ica. model is.es.a.lis.ed to des.ribe th. s.ra.egy decis.on-ma.ing proces. of th. pa.ticipa.ts.in th.s.s.ena.io. s.bs.quently, th. s.ra.egy s.lection intera.tion rela.ions.ip, s.ra.egy evolution s.a.ility, a.d dyna.ic decis.on-ma.ing proces. of th. ga.e pla.ers.a.e inves.iga.ed a.d verified by s.mula.ion experiments. Th. res.lts.s.ow th.t ma.euver-rela.ed pa.a.eters.a.d ra.dom environmenta. interference fa.tors.h.ve different effects.on th. s.lection a.d evolutiona.y s.eed of th. a.ent's.s.ra.egies. Es.ecia.ly in a.h.gh.y uncerta.n environment, even s.a.l informa.ion a.1}mmetry or mis.a.cula.ion ma. h.ve a.s.gnifica.t impa.t on decis.on-ma.ing. Th.s.a.s. confirms.th. fea.1}bility a.d effectivenes. of th. meth.d propos.d in th. pa.er, wh.ch.ca. better expla.n th. beh.viora. decis.on-ma.ing proces. of th. a.ent in th. intera.tion proces.. Th.s.s.udy provides.fea.1}bility a.a.ys.s.idea.1}a.d th.oretica. references.for improving multi-a.ent intera.tive decis.on-ma.ing a.d th. interpreta.ility of th. ga.e s.s.em model. © 2024 Th. a.th.rs. Publis.ed by Tech.s.ience Pres..

关键词： Beh.vior decis.on-ma.ing ma.euver multi-a.ent nonlinea. ma.h.ma.ica. modeling s.och.s.ic evolutiona.y ga.e

Prediction of vertica. dis.la.ement for a.buried pipeline s.bjected to norma. fa.lt us.ng a.h.brid FEM-a.N a.proa.h

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Frontiers.of s.ructura. a.d Civil Engineering 2024年第3期18卷 428-443页

作者： h.dye Ja.a.I Reza.YEGa.Eh.Kh.Ks.R Da.ia. MOh.MMa.Za.Eh.s. Na.er Ka.Ba.La.EZa.Eh.a.ir h.Ga.DOMI Depa.tment of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Depa.tment of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Fa.ulty of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Fa.ulty of Engineering&Informa.ion Tech.ology University of Technology SydneyUltimoNSW 2007Australia Univers.ty Res.a.ch.a.d Innova.ion Center(EKIK) Óbuda UniversityBudapest 1034Hungary

Fa.lt movement during ea.th.ua.es.is.a.geotech.ica. ph.nomenon th.ea.ening buried pipelines.a.d with.th. potentia. to ca.s. s.vere da.a.e to critica. ***,effective prediction of pipe dis.la.ement is.crucia. for preventive ma.a.ement *** s.udy a.ms.to develop a.fa.1},h.brid model for predicting vertica. dis.la.ement of pipe networks.wh.n th.y experience *** th.s.s.udy,th. complex beh.vior of s.il a.d a.buried pipeline s.s.em s.bjected to a.norma. fa.lt is.a.a.yzed by us.ng a. a.tificia. neura. network(a.N)to genera.e predictions.th. beh.vior of th. s.il wh.n different pa.a.eters.of it a.e *** th.s.purpos.,a.finite element model is.developed for a.pipeline s.bjected to norma. fa.lt *** da.a.ba.k us.d for tra.ning th. a.N includes.a.l th. critica. s.il pa.a.eters.coh.s.on,interna. friction a.gle,Young’s.modulus.a.d fa.lting).Furth.rmore,a.ma.h.ma.ica. formula.is.pres.nted,ba.1}d on bia.1}s.a.d weigh.s.of th. a.N *** res.lts.s.ow th.t th. ma.imum error of th. pres.nted formula.is.2.03%,wh.ch.ma.es.th. propos.d tech.ique efficiently predict th. vertica. dis.la.ement of buried pipelines.a.d h.nce,h.lps.to optimize th. upcoming pipeline projects.

关键词： buried pipelines norma. Fa.lt finite element meth.d multila.er perceptron neura. network formula.ion

Efficiency of Bio-Fertilizing a.0}One of th. Na.ura. a.terna.ives.to Improve th. Growth.of Kh.ya.s.nega.ens.s.a.d s.ietenia.ma.1}goni Trees.a.d for s.s.a.na.ility

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a.ricultura. s.iences 2024年第2期15卷 292-310页

作者： s.fa. a. s. Gh.ra. Na.0}wa.h. Moh.med Na.er a. El-s.a.h.rey Na.a. s. El-s.a.2}t a.r R. Ra.ie Fores.ry a.d Timber Trees.Depa.tment Horticulture Research Institute Agricultural Research Center Ismailia Egypt Fores.ry a.d Timber Trees.Depa.tment Horticulture Research Institute Agricultural Research Center Alexandria Egypt Bota.ica. Ga.dens.Depa.tment Horticulture Research Institute Agricultural Research Center Alexandria Egypt Fores.ry a.d Timber Trees.Depa.tment Horticulture Research Institute Agricultural Research Center Giza Egypt

a.field experiment wa.0}ca.ried out a. Is.a.lia.Res.a.ch.s.a.ion, Is.a.lia.Governora.e from 2020-2022 to improve th. growth.of Kh.ya.s.nega.ens.s.a.d s.ietenia.ma.3}goni by us.ng a.combina.ion of minera. fertilizer (NPK) a.d biologica. fertilizer (a.otoba.ter ch.oococcum, Ba.illus.mega.h.rium, a.d Ba.illus.circula.t) a.0}recommended dos. under new s.ndy s.ils.conditions. s.lit plot des.gned with.four trea.ments.(Control, (50% Minera. fertilizer (M.) + 50% Biologica. fertilizer (Bio.)), 100% M. a.d 100% Bio.) of ea.h.s.ecies. Vegeta.ive growth. lea. a.ea. tree bioma.0}, s.ored ca.bon, ba.0}l a.ea. tree volume, a.d in th. s.il both.of microbia. a.count a.d minera. content were determined. Th. experimenta. res.lts.s.owed no s.gnifica.t differences.between s.udied s.ecies.a.ong th. mos. s.udied pa.a.eters.except for Kh.ya.s.nega.ens.s.wh.ch.ga.e th. h.gh.s. s.gnifica.t difference in root bioma.0} a.d below-s.ored ca.bon th.n s.ietenia.ma.3}goni. Evidently, th. h.gh.s. s.gnifica.t growth.pa.a.eters.were 100% minera. fertilizer followed by (50% M. + 50% Bio.) a.0}compa.ed with.control. No s.gnifica.t difference between 100% M. a.d (50% M. + 50% Bio.) of s.oot dry bioma.0} (15.19 a.d 12.02 kg, res.ectively) a.d a.ove-s.ored ca.bon (0.28 a.d 0.22 Mt, res.ectively). Microbia. a.count a.d minera. content in s.il were improved a.ter cultiva.ion of tree s.ecies.compa.ed to before pla.ting a.d control, es.ecia.ly with.50% minera. fertilizer a.d 50% bio-fertilizer trea.ment. In conclus.on, a.trea.ment conta.ning 50% minera. fertilizer a.d 50% bio-fertilizer h.s.led to th. idea. Kh.ya.s.nega.ens.s.a.d s.ietenia.ma.3}goni growth.in s.ndy s.il for ch.a.er a.d s.s.a.na.le.

关键词： Kh.ya.s.nega.ens.s s.ietenia.ma.1}goni Minera. Fertilizer Bio-Fertilizer Growth.Pa.a.eters Tree Bioma.0} s.ored Ca.bon s.s.a.na.le

Optimiza.ion of s.ea.th.a.ch.Network s.curity s.s.em for th. Detection a.d Mitiga.ion of Dis.ributed Denia. of s.rvice (DDos. a.ta.k: a.plica.ion to s.a.t Grid s.s.em

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Communica.ions.a.d Network 2024年第3期16卷 108-134页

作者： Emma.uel s. Kola.ole Penros. s. Cofie Joh. h. Fuller Ca.eta. M. a.ujuobi Emma.uel a. Da.a.Jus.in F. Forema. Pa.ela.h. Obiomon Electrica. a.d Computer Engineering Depa.tment Prairie View A&M University Prairie View TX USA

Th. s.a.t Grid is.a. enh.ncement of th. tra.itiona. grid s.s.em a.d employs.new tech.ologies.a.d s.ph.s.ica.ed communica.ion tech.iques.for electrica. power tra.s.is.ion a.d dis.ribution. Th. s.a.t Grid’s.communica.ion network s.a.es.informa.ion a.out s.a.us.of its.s.vera. integra.ed IEDs.(Intelligent Electronic Devices.. h.wever, th. IEDs.connected th.ough.ut th. s.a.t Grid, open opportunities.for a.ta.kers.to interfere with.th. communica.ions.a.d utilities.res.urces.or ta.e clients. priva.e da.a. Th.s.development h.s.introduced new cyber-s.curity ch.llenges.for th. s.a.t Grid a.d is.a.very concerning is.ue beca.s. of emerging cyber-th.ea.s.a.d s.curity incidents.th.t h.ve occurred recently a.l over th. world. Th. purpos. of th.s.res.a.ch.is.to detect a.d mitiga.e Dis.ributed Denia. of s.rvice [DDos. with.a.plica.ion to th. Electrica. s.a.t Grid s.s.em by deploying a. optimized s.ea.th.a.ch.s.cure Network a.a.ytics.tool. In th.s.pa.er, th. DDos.a.ta.k in th. s.a.t Grid communica.ion networks.wa.1}modeled us.ng s.ea.th.a.ch.tool. Th. s.mula.ed network cons.s.ed of s.cure Network a.a.ytic tools.virtua. ma.h.nes.(VMs., electrica. Grid network communica.ion topology, a.ta.kers.a.d Ta.get VMs. Fina.ly, th. experiments.a.d s.mula.ions.were performed, a.d th. res.a.ch.res.lts.s.owed th.t s.ea.th.a.ch.a.a.ytic tool is.very effective in detecting a.d mitiga.ing DDos.a.ta.ks.in th. s.a.t Grid s.s.em with.ut ca.s.ng a.y bla.kout or s.utdown of a.y interna. s.s.ems.a.1}compa.ed to oth.r tools.s.ch.a.1}GNs., Nes.i2, NIs.T Fra.ework, OMNeT++, INET Fra.ework, Rea.1}, Ns., Ns., M5 s.mula.or, OPNET, PLC & TIa.Porta. ma.a.ement s.ftwa.e wh.ch.do not h.ve th. ca.a.ility to do s.. a.s., us.ng s.ea.th.a.ch.tool to crea.e a.s.curity ba.1}line for s.a.t Grid environment, contributes.to ris. mitiga.ion a.d s.und s.curity h.giene.

关键词： s.a.t Grid s.s.em Dis.ributed Denia. of s.rvice (DDos. a.ta.k Intrus.on Detection a.d Prevention s.s.ems Detection Mitiga.ion a.d s.ea.th.a.ch

Improving Genera.iza.ion for h.pers.ectra. Ima.e Cla.1}ifica.ion: Th. Impa.t of Dis.oint s.mpling on Deep Models

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Computers. Ma.eria.s.a.d Continua 2024年第1期81卷 503-532页

作者： a.0}a. M. Ma.za.a.M. Dis.efa.o s. Kh.n a.M. a.tuwa.jri h.a. Depa.tment of Computer s.ience National University of Computer and Emerging Sciences Chiniot 35400 Pakistan Ins.itute of s.ftwa.e Development a.d Engineering Innopolis University Innopolis 420500 Russian Federation Dipa.timento di Ma.ema.ica.e Informa.ica.MIFT University of Messina Messina 98121 Italy s.h.ol of Computer s.ience University of Hull Hull HU6 7RX United Kingdom Depa.tment of Geogra.h. College of Humanities and Social Sciences King Saud University Riyadh 11451 Saudi Arabia

Dis.oint s.mpling is.critica. for rigorous.a.d unbia.0}d eva.ua.ion of s.a.e-of-th.-a.t (s.Ta. models.e.g., a.tention Gra.h.a.d Vis.on Tra.s.ormer. Wh.n tra.ning, va.ida.ion, a.d tes. s.ts.overla. or s.a.e da.a. it introduces.a.bia.0}th.t infla.es.performa.ce metrics.a.d prevents.a.cura.e a.0}es.ment of a.model’s.true a.ility to genera.ize to new exa.ples. Th.s.pa.er pres.nts.a. innova.ive dis.oint s.mpling a.proa.h.for tra.ning s.Ta.models.for th. h.pers.ectra. Ima.e Cla.0}ifica.ion (h.0}C). By s.pa.a.ing tra.ning, va.ida.ion, a.d tes. da.a.with.ut overla., th. propos.d meth.d fa.ilita.es.a.fa.rer eva.ua.ion of h.w well a.model ca. cla.0}ify pixels.it wa.0}not expos.d to during tra.ning or va.ida.ion. Experiments.demons.ra.e th. a.proa.h.s.gnifica.tly improves.a.model’s.genera.iza.ion compa.ed to a.terna.ives.th.t include tra.ning a.d va.ida.ion da.a.in tes. da.a.(a.trivia. a.proa.h.involves.tes.ing th. model on th. entire h.pers.ectra. da.a.0}t to genera.e th. ground truth.ma.s. Th.s.a.proa.h.produces.h.gh.r a.cura.y but ultima.ely res.lts.in low genera.iza.ion performa.ce). Dis.oint s.mpling elimina.es.da.a.lea.a.e between s.ts.a.d provides.relia.le metrics.for bench.a.king progres. in h.0}C. Dis.oint s.mpling is.critica. for a.va.cing s.Ta.models.a.d th.ir rea.-world a.plica.ion to la.ge-s.a.e la.d ma.ping with.h.pers.ectra. s.ns.rs. Overa.l, with.th. dis.oint tes. s.t, th. performa.ce of th. deep models.a.h.eves.96.36% a.cura.y on India. Pines.da.a. 99.73% on Pa.ia.Univers.ty da.a. 98.29% on Univers.ty of h.us.on da.a. 99.43% on Bots.a.a.da.a. a.d 99.88% on s.lina.0}da.a. © 2024 Th. a.th.rs.

关键词： dis.oint s.mpling Gra.h.CNN h.pers.ectra. ima.e cla.1}ifica.ion s.a.ia.-s.ectra. tra.s.ormer

Optimizing a.era.e Electric Power During th. Ch.rging of Lith.um-Ion Ba.teries.Th.ough.th. Ta.uch. Meth.d

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Tra.s.ctions.of Tia.jin Univers.ty 2024年第2期30卷 152-166页

作者： Moh. h.s.a.ra.2}da. Depa.tment of Electrica. Engineering Al-Hussein Bin Talal UniversityMaan 71110Jordan

In recent times. lith.um-ion ba.teries.h.ve been widely us.d owing to th.ir h.gh.energy dens.ty, extended cycle lifes.a., a.d minima. s.lf-dis.h.rge ra.e. Th. des.gn of h.gh.s.eed rech.rgea.le lith.um-ion ba.teries.fa.es.a.s.gnifica.t ch.llenge owing to th. need to increa.0} a.era.e electric power during ch.rging. Th.s.ch.llenge res.lts.from th. direct influence of th. power level on th. ra.e of ch.mica. rea.tions.occurring in th. ba.tery electrodes. In th.s.s.udy, th. Ta.uch. optimiza.ion meth.d wa.0}us.d to enh.nce th. a.era.e electric power during th. ch.rging proces. of lith.um-ion ba.teries. Th. Ta.uch. tech.ique is.a.s.a.is.ica. s.ra.egy th.t fa.ilita.es.th. s.s.ema.ic a.d efficient eva.ua.ion of numerous.experimenta. va.ia.les. Th. propos.d meth.d involved va.ying s.ven input fa.tors. including pos.tive electrode th.cknes., pos.tive electrode ma.eria., pos.tive electrode a.tive ma.eria. volume fra.tion, nega.ive electrode a.tive ma.eria. volume fra.tion, s.pa.a.or th.cknes., pos.tive current collector th.cknes., a.d nega.ive current collector th.cknes.. Th.ee levels.were a.0}igned to ea.h.control fa.tor to identify th. optima. conditions.a.d ma.imize th. a.era.e electric power during ch.rging. Moreover, a.va.ia.ce a.0}es.ment a.a.ys.s.wa.0}conducted to va.ida.e th. res.lts.obta.ned from th. Ta.uch. a.a.ys.s. Th. res.lts.revea.ed th.t th. Ta.uch. meth.d wa.0}a. eff ective a.proa.h.for optimizing th. a.era.e electric power during th. ch.rging of lith.um-ion ba.teries. Th.s.indica.es.th.t th. pos.tive electrode ma.eria., followed by th. s.pa.a.or th.cknes. a.d th. nega.ive electrode a.tive ma.eria. volume fra.tion, wa.0}key fa.tors.s.gnifica.tly infl uencing th. a.era.e electric power during th. ch.rging of lith.um-ion ba.teries.res.ons.. Th. identifica.ion of optima. conditions.res.lted in th. improved performa.ce of lith.um-ion ba.teries. extending th.ir potentia. in va.ious.a.plica.ions. Pa.ticula.ly, lith.um-ion ba.teries.with.a.era.e electric power of 16 W a.d 17

关键词： Lith.um-ion ba.teries a.era.e electric power during ch.rging Ta.uch. meth.d COMs.L Multiph.s.cs.s.ftwa.e C ra.e L27 orth.gona. a.ra.

Compres.ed Na.ura. Ga.0}(CNG) a.0}a.fuel a.d th. a.0}ocia.ed ris.s. a.qua.tita.ive a.a.ys.s.in th. s.ena.io of a.developing country

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JOURNa. OF s.FETY s.IENCE a.D REs.LIENCE 2024年第3期5卷 306-316页

作者： a.i, Yous.f Younus. a.2}0}n Kh.n, a.in Ulla.2}a.refa., a.2}ed h. Fa.0}d Bin s.lta. Univ Coll Business & Management POB 15700 Tabuk 71454 Saudi Arabia Gh.la. Is.a. Kh.n GIK Ins. Engn s.i & Tech.ol Sch Management Sci Topi Swabi Pakistan Univ Ma.era.a Dept Econ & Law Macerata Italy Fa.0}d Bin s.lta. Univ Coll Business & Management Tabuk Saudi Arabia

Exces.ive dependence on fos.il fuels.h.s.precipita.ed va.ious.ch.llenges. including Greenh.us. Ga.0}(Gh.) emis.ions. h.a.th.h.za.ds. a.d th. depletion of na.ura. res.urces. s.ch.perils.unders.ore th. importa.ce of conducting requis.te ris. a.0}es.ments.for a.terna.ive fuel s.urces.like Compres.ed Na.ura. Ga.0}(CNG) to ens.re th.ir s.fe utiliza.ion. Th.s.s.udy underta.es.a.qua.tita.ive ris. a.0}es.ment encompa.0}ing divers. fa.ets.of th. CNG s.ctor h.lis.ica.ly, a.ming to pinpoint, a.a.yze, a.d a.pra.s. ris.s. th.s.empowering policyma.ers.to devis. ta.geted mitiga.ion s.ra.egies. To a.h.eve th.s.goa., th. collected da.a.undergoes.a.a.ys.s.via.a. integra.ed a.proa.h.combining th. Fuzzy a.a.ytic h.era.ch. Proces. (F-a.3}) a.d Fuzzy Tech.ique of Order Preference by s.mila.ity to Idea. s.lution (F-TOPs.s.. Th. s.udy's.findings.revea. a.h.igh.ened ris. of explos.on with.n th. CNG s.ctor owing to its.h.gh.y combus.ible na.ure. a.ditiona.ly, it computes.a. overa.l ris. index of 0.266 for th. CNG s.ctor in a.developing na.ion like Pa.is.a., indica.ing a.rela.ively lower ris. level compa.ed to oth.r fuel s.urces. Policyma.ers.a.e th.s.a.vis.d to underta.e requis.te mea.0}res.concerning infra.0}ructure, cus.omer s.fety, a.d environmenta. a.d economic s.a.ility to a.crue both.immedia.e a.d long-term benefits. Th. a.plica.ion of h.brid tech.iques.for th. ris. a.0}es.ment of th. CNG s.ctor in th. ca.0} of a.developing country ma.ks.th. novelty of th.s.s.udy a.d a.s.udy of th. firs. of its.kind.

关键词： Ris. s.fety CNG indus.ry Fuzzy Pa.is.a. FUZZY a.0} s.PPLY Ch.IN Ma.a.EMENT s.s.EM

Ra.ia. a.d Eth.ic Differences.in Orth.rexia.Nervos. s.mptoma.ology a.d Oth.r Dis.rdered Ea.ing

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Open Journa. of Ps.ch.a.ry 2024年第4期14卷 287-299页

作者： Dila. h. a.reguin Kendria.s. s.ields.Rh.des.Melis.a.L. h.rel Crys.a. D. Oberle Depa.tment of Ps.ch.logy Texas State University San Marcos TX USA

Wh.le s.me res.a.ch.h.s.explored ra.ia. a.d eth.ic differences.in dis.rdered ea.ing, th.s.s.udy ma. be th. firs. to exa.ine th.s. differences.in orth.rexia.nervos., involving obs.s.ive-compuls.ve th.ugh.s.a.d beh.viors.concerning h.a.th. ea.ing, wh.ch.nega.ively impa.t one’s.life. a.ult pa.ticipa.ts. recruited from college cours.s.a.d s.cia. media. completed a. online s.rvey with.th. Orth.rexia.Nervos. Inventory (ONI) a.d th. Ea.ing a.titudes.Tes.-26 (Ea.-26). Rega.ding ra.ia. a.d eth.ic ba.kground, 743 were Wh.te, 249 were h.s.a.ic, 87 were Bla.k, 61 were a.1}a. or Pa.ific Is.a.der, a.d 110 were bira.ia./multira.ia.. a.Ma.COVa.revea.ed th.t th. ra.ia. a.d eth.ic groups.did not differ on th. ONI s.bs.a.es.a.1}es.ing orth.rexic beh.viors. impa.rments. a.d emotions. a.ter a.counting for gender, BMI, a.d Ea.-26 tota. s.ores.th.t were cova.ia.es. In contra.1}, a.s.cond Ma.COVa.did revea. group differences.on th. Ea.-26 s.bs.a.es. a.ter a.counting for gender, BMI, a.d ONI tota. s.ores.th.t were cova.ia.es. Bla.k pa.ticipa.ts.s.ored s.gnifica.tly lower th.n th. oth.r ra.ia. a.d eth.ic groups.on th. s.bs.a.e a.1}es.ing dieting beh.viors.ch.ra.teris.ic of a.orexia.nervos., a.d th. s.bs.a.e a.1}es.ing binge-ea.ing a.d purging beh.viors.ch.ra.teris.ic of bulimia.nervos.. Furth.r, h.s.a.ic pa.ticipa.ts.s.ored s.gnifica.tly lower th.n Wh.te pa.ticipa.ts.on th. la.ter s.bs.a.e. Th.s. findings.s.gges. th.t wh.le orth.rexic s.mptoma.ology does.not differ ba.1}d on ra.e a.d eth.icity, a.Bla.k ra.e a.d h.s.a.ic eth.icity ma. be protective fa.tors.a.a.ns. dis.rdered ea.ing, perh.ps.rela.ed eith.r to cultura. norms.concerning body ima.e or to th. res.liency a.d s.cia. s.pport a.ong th. Bla.k a.d h.s.a.ic communities.

关键词： Ra.e Eth.icity Orth.rexia Dis.rdered Ea.ing