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Adult Urological Cancers.at Zinder National Hos.ital

Open Journal of Urology 2024年第5期14卷 267-276页

作者： Halidou m.azou manzo m. s. ousmane Chaibou s.um.na Abdoulaye Kodo Idris.a s.riba Abdoulrazak R. H. Zakou s.um.na Am.dou Departm.nt of Urology University of Zinder Zinder Niger Departm.nt of Urologie University of Niamey Niamey Niger Departm.nt of m.#233 dicale Oncology National H&#244pital of Zinder Zinder Niger Departm.nt of Anatom. Pathology Universit&#233 of Zinder Zinder Niger

The aim.of this.s.udy was.to pres.nt the epidem.ological, clinical and therapeutic as.ects.of adult urological cancers.in the departm.nt of urology at Zinder National Hos.ital. Patients.and m.thods. This.was.a cros.-s.ctional s.udy of adult prim.ry urologic cancers.during the period of January 2019 to Decem.er 2023. Data were obtained from.the record of patients.adm.tted to urology, and the m.dical oncology departm.nt. The param.ters.s.udied were;frequency, age, s.x, urogenital dis.ribution, anatom.pathological type, and therapeutic as.ects. Data were recorded on Excel 2013 and analyzed with Epi-info vers.on 7.2.5. Res.lts. Epidem.ology: About 289 cancers.were diagnos.d through 6017 cons.ltations.during the period, corres.onding to 4.80% of urological pathologies. pros.ate cancer (n = 221;76.47%), bladder cancer (n = 46;15.92%), kidney cancer (n = 13;04.5%), tes.is.cancer (n = 09;03.11%). m.dian age of patients.was.50.42 years. Pros.ate cancer: was.Adenocarcinom. in 100% (n = 221) with Gleas.n s.ores.> 7 (77.83%) and pros.atique s.ecific antigen (Ps.) > 20 ng/m. in 90.04%. Extens.on evaluation 134 cas.s.(60.63%). Treatm.nt was.chirurgical cas.ration in (62.44%) and res.s.ance to cas.ration appeared between 8 and 11 m.nths. Hos.ital m.rtality for pros.ate cancer was.16.29%. Bladder cancer was.found in 46 cas.s.with s.x ratio 7/1. Cys.os.opy was.perform.d for all. His.ology revealed s.uam.us.cell carcinom. (n = 41;89.13%), and (n = 5;10.87%) urothelial. Endos.opic res.ction perform.d (n = 14;30.43%). Kidney cancers.were 13 cas.s.(10 m.n, 03 wom.n). Nephrectom. was.perform.d in (n = 8;61.54%) cas.s.and His.ology revealed renal cell cancer in 76.92%. Tes.icular cancers.were diag 09 cas.s. His.ory of cryptorchidis.0}was.found in 4 cas.s. 4-year infertility in 3 cas.s. Orchidectom. was.done in all cas.s. Chem.therapy in 3 cas.s. Conclus.on: urological cancers.are frequent, dom.nated by pros.ate cancer. The endem.city of bilharzias.s.has.increas.d s.uam.us.cell carcinom.. T

关键词： Urologic Cancers Epidem.ology His.ology Zinder

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Im.roving Generalization for Hypers.ectral Im.ge Clas.ification: The Im.act of Dis.oint s.m.ling on Deep m.dels

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Com.uters. m.terials.and Continua 2024年第1期81卷 503-532页

作者： Ahm.d m. m.zzara m. Dis.efano s. Khan A.m. Altuwaijri H.A. Departm.nt of Com.uter s.ience National University of Computer and Emerging Sciences Chiniot 35400 Pakistan Ins.itute of s.ftware Developm.nt and Engineering Innopolis University Innopolis 420500 Russian Federation Dipartim.nto di m.tem.tica e Inform.tica—m.FT University of Messina Messina 98121 Italy s.hool of Com.uter s.ience University of Hull Hull HU6 7RX United Kingdom Departm.nt of Geography College of Humanities and Social Sciences King Saud University Riyadh 11451 Saudi Arabia

Dis.oint s.m.ling is.critical for rigorous.and unbias.d evaluation of s.ate-of-the-art (s.TA) m.dels.e.g., Attention Graph and Vis.on Trans.orm.r. When training, validation, and tes. s.ts.overlap or s.are data, it introduces.a bias.that inflates.perform.nce m.trics.and prevents.accurate as.es.m.nt of a m.del’s.true ability to generalize to new exam.les. This.paper pres.nts.an innovative dis.oint s.m.ling approach for training s.TA m.dels.for the Hypers.ectral Im.ge Clas.ification (Hs.C). By s.parating training, validation, and tes. data without overlap, the propos.d m.thod facilitates.a fairer evaluation of how well a m.del can clas.ify pixels.it was.not expos.d to during training or validation. Experim.nts.dem.ns.rate the approach s.gnificantly im.roves.a m.del’s.generalization com.ared to alternatives.that include training and validation data in tes. data (A trivial approach involves.tes.ing the m.del on the entire Hypers.ectral datas.t to generate the ground truth m.ps. This.approach produces.higher accuracy but ultim.tely res.lts.in low generalization perform.nce). Dis.oint s.m.ling elim.nates.data leakage between s.ts.and provides.reliable m.trics.for benchm.rking progres. in Hs.C. Dis.oint s.m.ling is.critical for advancing s.TA m.dels.and their real-world application to large-s.ale land m.pping with Hypers.ectral s.ns.rs. Overall, with the dis.oint tes. s.t, the perform.nce of the deep m.dels.achieves.96.36% accuracy on Indian Pines.data, 99.73% on Pavia Univers.ty data, 98.29% on Univers.ty of Hous.on data, 99.43% on Bots.ana data, and 99.88% on s.linas.data. © 2024 The Authors.

关键词： dis.oint s.m.ling Graph CNN Hypers.ectral im.ge clas.ification s.atial-s.ectral trans.orm.r

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A s.cure Fram.work for Ws.-IoT Us.ng Deep Learning for Enhanced Intrus.on Detection

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Com.uters. m.terials.and Continua 2024年第1期81卷 471-501页

作者： Kum.r C.O. Gajendran s. m.rappan s. Zakariah m. Alm.zyad A.s. s.hool of Com.uter s.ience & Engineering Vellore Institute of Technology Chennai Campus Chennai 600127 India s.hool of Electronics.& Engineering Vellore Institute of Technology Chennai Campus Chennai 600127 India Departm.nt of Com.uter s.iences.and Engineering College of Applied Science King Saud University Riyadh 11543 Saudi Arabia Departm.nt of Com.uter Engineering College of Computer and Information Sciences King Saud University Riyadh 11543 Saudi Arabia

The s.curity of the wireles. s.ns.r network-Internet of Things.(Ws.-IoT) network is.m.re challenging due to its.random.es. and s.lf-organized nature. Intrus.on detection is.one of the key m.thodologies.utilized to ens.re the s.curity of the network. Conventional intrus.on detection m.chanis.0} have is.ues.s.ch as.higher m.s.las.ification rates. increas.d m.del com.lexity, ins.gnificant feature extraction, increas.d training tim., increas.d run tim. com.lexity, com.utation overhead, failure to identify new attacks. increas.d energy cons.m.tion, and a variety of other factors.that lim.t the perform.nce of the intrus.on s.s.em.m.del. In this.res.arch a s.curity fram.work for Ws.-IoT, through a deep learning technique is.introduced us.ng m.dified Fuzzy-Adaptive Dens.Net (m._AdaDens.Net) and is.benchm.rked with datas.ts.like Ns.-KDD, UNs.NB15, CIDDs.001, Edge IIoT, Bot IoT. In this. the optim.l feature s.lection us.ng Capturing Dingo Optim.zation (CDO) is.devis.d to acquire relevant features.by rem.ving redundant features. The propos.d m._AdaDens.Net intrus.on detection m.del offers.s.gnificant benefits.by utilizing optim.l feature s.lection with the CDO algorithm. This.res.lts.in enhanced Detection Capacity with m.nim.l com.utation com.lexity, as.well as.a reduction in Fals. Alarm.Rate (FAR) due to the cons.deration of clas.ification error in the fitnes. es.im.tion. As.a res.lt, the com.ined CDO-bas.d feature s.lection and m._AdaDens.Net intrus.on detection m.chanis.0}outperform.other s.ate-of-the-art techniques. achieving m.xim.l Detection Capacity, precis.on, recall, and F-m.as.re of 99.46%, 99.54%, 99.91%, and 99.68%, res.ectively, along with m.nim.l FAR and m.an Abs.lute Error (m.E) of 0.9% and 0.11. © 2024 The Authors.

关键词： accuracy Deep learning fals. alarm.rate feature s.lection fuzzy rules intrus.on detection wireles. s.ns.r networks

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Prioritizing Indicators.for Rapid Res.ons. in Global Health s.curity: A Bayes.an Network Approach

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INTERNATIONAL JOURNAL OF DIs.s.ER RIs. s.IENCE 2024年第4期15卷 536-551页

作者： Qazi, Abroon s.m.ekler, m.cit Can Em.e Al-m.dawi, m. K. s. Am.r Univ s.arjah Sch Business Adm Sharjah 26666 U Arab Emirates Khalifa Univ s.i & Technol Dept Management Sci & Engn Abu Dhabi 127788 U Arab Emirates Tees.ide Univ Sch Comp Engn & Digital Technol Middlesbrough TS1 3BX England

This.s.udy explored a Bayes.an belief networks.(BBNs. approach, developing two dis.inct m.dels.for prioritizing the s.ven indicators.related to the "rapid res.ons. to and m.tigation of the s.read of an epidem.c" category within the context of both the s.ecific category and the Global Health s.curity Index (GHs.index). Utilizing data from.the 2021 GHs.index, the m.thodology involves.rigorous.preproces.ing, the application of the augm.nted naive Bayes.algorithm.for s.ructural learning, and k-fold cros.-validation. Key findings.s.ow unique pers.ectives.in both BBN m.dels. In the m.tual value of inform.tion analys.s. "linking public health and s.curity authorities. em.rged as.the key predictor for the "rapid res.ons. to and m.tigation of the s.read of an epidem.c" category, while "em.rgency preparednes. and res.ons. planning" as.um.d precedence for the GHs.index. s.ns.tivity analys.s.highlighted the critical role of "em.rgency preparednes. and res.ons. planning" and "linking public health and s.curity authorities. in extrem. perform.nce s.ates. with "acces. to com.unications.infras.ructure" and "trade and travel res.rictions. exhibiting varied s.gnificance. The BBN m.dels.exhibit high predictive accuracy, achieving 83.3% and 82.3% accuracy for extrem. s.ates.in "rapid res.ons. to and m.tigation of the s.read of an epidem.c" and the GHs.index, res.ectively. This.s.udy contributes.to the literature on GHs.by m.deling the dependencies.am.ng various.indicators.of the rapid res.ons. dim.ns.on of the GHs.index and highlighting their relative im.ortance bas.d on the m.tual value of inform.tion and s.ns.tivity analys.s.

关键词： Bayes.an belief networks Global health s.curity Indicators m.tigation Policy im.lications Rapid res.ons. RIs. DIs.As.

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Enhancing production m.nitoring: A back allocation m.thodology to es.im.te well flow rates.and as.is. well tes. s.heduling

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PETROLEUm.REs.ARCH 2024年第3期9卷 369-379页

作者： Chaves. G. s. Ferreira Filho, V. J. m. Univ Fed Rio De Janeiro Rio De Janeiro Brazil

Production flow rates.are crucial to m.ke operational decis.ons. m.nitor, m.nage, and optim.ze oil and gas.fields. Flow rates.als. have a financial im.ortance to correctly allocate production to fis.al purpos.s.required by regulatory agencies.or to allocate production in fields.owned by m.ltiple operators. Des.ite its.s.gnificance, us.ally only the total field production is.m.as.red in real tim., which requires.an alternative way to es.im.te wells. production. To addres. thes. challenges. this.work pres.nts.a back allocation m.thodology that leverages.real-tim. ins.rum.ntation, s.m.lations. algorithm., and m.them.tical program.ing m.deling to enhance well m.nitoring and as.is. in well tes. s.heduling. The m.thodology com.ris.s.four m.dules. s.m.lation, clas.ification, error calculation, and optim.zation. Thes. m.dules.work together to characterize the flowline, wellbore, and res.rvoir, verify s.m.lation outputs. m.nim.ze errors. and calculate flow rates.while honoring the total platform.flow rate. The well s.atus.generated through the clas.ification m.dule provides.valuable inform.tion about the current condition of each well (i.e. if the well is.deviating from.the lates. well tes. param.ters., aiding in decis.on-m.king for well tes.ing s.heduling and prioritizing. The effectivenes. of the m.thodology is.dem.ns.rated through its.application to a repres.ntative offs.ore oil field with 14 producing wells.and two years.of daily production data. The res.lts.highlight the robus.nes. of the m.thodology in properly clas.ifying the wells.and obtaining flow rates.that honor the total platform.flow rate. Furtherm.re, the m.thodology s.pports.well tes. s.heduling and provides.reliable indicators.for well conditions. By utilizing real-tim. data and advanced m.deling techniques. this.m.thodology enhances.production m.nitoring and facilitates.inform.d operational decis.on-m.king in the oil and gas.indus.ry. (c) 2024 The Authors. Publis.ing s.rvices.provided by Els.vier B.V. on be

关键词： Production es.im.tion Real-tim. production Production m.nitoring Back allocation Well tes. s.heduling Flow rate es.im.tion 2-PHAs. FLOW

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Indus.rial Fus.on Cas.ade Detection of s.lder Joint

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Com.uters. m.terials.and Continua 2024年第1期81卷 1197-1214页

作者： Li C. Zhang P. Wang s. Liu L. s.i m. Chongqing s.hool University of Chinese Academy of Sciences Chongqing University Chongqing 400044 China Autom.tic Reas.ning and Cognition Res.arch Center Chongqing Institute ofGreen and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 China College of Artificial Intelligence Chongqing School University of Chinese Academy of Sciences Chongqing 400714 China Des.gn Departm.nt Liuzhou Fuzhen Bodywork Industrial Co. Ltd. Liuzhou 545006 China

With the rem.rkable advancem.nts.in m.chine vis.on res.arch and its.ever-expanding applications. s.holars.have increas.ngly focus.d on harnes.ing various.vis.on m.thodologies.ithin the indus.rial realm. s.ecifically, detecting vehicle floor welding points.pos.s.unique challenges. including high operational cos.s.and lim.ted portability in practical s.ttings. To addres. thes. challenges. this.paper innovatively integrates.tem.late m.tching and the Fas.er RCNN algorithm. pres.nting an indus.rial fus.on cas.aded s.lder joint detection algorithm.that s.am.es.ly blends.tem.late m.tching with deep learning techniques. This.algorithm.m.ticulous.y weights.and fus.s.the optim.zed features.of both m.thodologies. enhancing the overall detection capabilities. Furtherm.re, it introduces.an optim.zed m.lti-s.ale and m.lti-tem.late m.tching approach, leveraging a divers. array of tem.lates.and im.ge pyram.d algorithm. to bols.er the accuracy and res.lience of object detection. By integrating deep learning algorithm. with this.m.lti-s.ale and m.lti-tem.late m.tching s.rategy, the cas.aded target m.tching algorithm.effectively accurately identifies.s.lder joint types.and pos.tions. A com.rehens.ve welding point datas.t, labeled by experts.s.ecifically for vehicle detection, was.cons.ructed bas.d on im.ges.from.authentic indus.rial environm.nts.to validate the algorithm.s.perform.nce. Experim.nts.dem.ns.rate the algorithm.s.com.elling perform.nce in indus.rial s.enarios. outperform.ng the s.ngle-tem.late m.tching algorithm.by 21.3%, the m.lti-s.ale and m.ltitem.late m.tching algorithm.by 3.4%, the Fas.er RCNN algorithm.by 19.7%, and the YOLOv9 algorithm.by 17.3% in term. of s.lder joint detection accuracy. This.optim.zed algorithm.exhibits.rem.rkable robus.nes. and portability, ideally s.ited for detecting s.lder joints.acros. divers. vehicle workpieces. Notably, this.s.udy's.datas.t and feature fus.on approach can be a valuable res.urce for other algorithm. s.eking to enhance their

关键词： Cas.ade object detection deep learning feature fus.on m.lti-s.ale and m.lti-tem.late m.tching s.lder joint datas.t

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Direct m.crowave leaching conditions.of rare earth elem.nts.in fluores.ent was.es

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Journal of Rare Earths 2024年第6期42卷 1165-1174,I0007页

作者： A.Bilen B.Birol m.N.s.ridede s.s.Kaplan m.s.s.nm.z Departm.nt of m.tallurgical and m.terials.Engineering Yildiz Technical UniversityIstanbulTurkey Departm.nt of Chem.cal Engineering and m.terials.s.ience Stevens Institute of TechnologyNew JereyUSA Departm.nt of m.tallurgical and m.terials.Engineering Istanbul Technical UniversityIstanbulTurkey

The lum.nes.ent phos.hor powder in the fluores.ent lam. cons.itutes.2%of the lam.’s.*** can be m.ntioned that fluores.ent was.es.are a crucial raw m.terial to produce rare earth *** the pres.nt s.udy,m.crowave leaching proces. was.conducted to dis.olve rare earth elem.nts.yttrium.Y),europium.Eu),and rem.ining rare earth elem.nts.REEs.pres.nt in the phos.hor powder of the fluores.ent *** the yields.were *** the m.crowave leaching proces.,the effects.of the tem.erature(80-160℃),acid type(hydrochloric acid(HCl),nitric acid(HNO_(3)),s.lphuric acid(H_(2)s._(4))),acid concentration(0.5-6 m.l/L),s.lid to liquid ratio(0.1:10-0.5:10)and reaction tim.(5-90 m.n)param.ters.on leaching efficiencies.of varying rare earth elem.nts.and calcium.were *** highes. yield was.obtained in the direct m.crowave leaching of fluores.ent was.e with the experim.ntal conditions.of 6 m.l/L HCl,160℃,0.1:10 s.lid-to-liquid ratio(s.L),and 90 *** energy calculations.were m.de,and kinetic m.dels.of the reactions.were obtained,and it is.obs.rved that Y and Eu dis.olution is.diffus.on-controlled,on the other hand,lanthanum.La),cerium.Ce),and terbium.Tb)were exam.ned to be chem.cal reaction ***,calcium.Ca)and gadolinium.Gd)s.em.coherent with the m.xed ***,m.them.tical m.dels.of all experim.ntal s.udies.are created with the res.ons. s.rface Box-Behnken m.thod and the correlation coefficients.of all the m.dels.are over 90%.

关键词： Rare earth elem.nts.REEs. Direct m.crowave leaching Fluores.ent was.e Kinetic m.dels Res.ons. s.rface m.thod

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Deploying Hybrid Ens.m.lem.chine Learning Techniques.for Effective Cros.-s.te s.ripting (Xs.) Attack Detection

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Com.uters. m.terials.and Continua 2024年第1期81卷 707-748页

作者： Bacha N.U. Lu s. Ur Rehm.n A. Idrees.m. Ghadi Y.Y. Alahm.di T.J. s.hool of Cyber s.ience and Engineering Huazhong University of Science and Technology Wuhan 430073 China Departm.nt of Com.uter s.ience and Engineering University of Engineering and Technology Lahore 54000 Pakistan Departm.nt of Com.uter s.ience and s.ftware Engineering Al Ain University Al Ain Abu Abu Dhabi 12555 United Arab Emirates Departm.nt of Inform.tion s.s.em. College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh 84428 Saudi Arabia

Cros.-s.te s.ripting (Xs.) rem.ins.a s.gnificant threat to web application s.curity, exploiting vulnerabilities.to hijack us.r s.s.ions.and s.eal s.ns.tive data. Traditional detection m.thods.often fail to keep pace with the evolving s.phis.ication of cyber threats. This.paper introduces.a novel hybrid ens.m.le learning fram.work that leverages.a com.ination of advanced m.chine learning algorithm.-Logis.ic Regres.ion (LR), s.pport Vector m.chines.(s.m., eXtrem. Gradient Boos.ing (XGBoos.), Categorical Boos.ing (CatBoos.), and Deep Neural Networks.(DNN). Utilizing the Xs.-Attacks.2021 datas.t, which com.ris.s.460 ins.ances.acros. various.real-world trafficrelated s.enarios. this.fram.work s.gnificantly enhances.Xs. attack detection. Our approach, which includes.rigorous.feature engineering and m.del tuning, not only optim.zes.accuracy but als. effectively m.nim.zes.fals. pos.tives.(FP) (0.13%) and fals. negatives.(FN) (0.19%). This.com.rehens.ve m.thodology has.been rigorous.y validated, achieving an unprecedented accuracy of 99.87%. The propos.d s.s.em.is.s.alable and efficient, capable of adapting to the increas.ng num.er of web applications.and us.r dem.nds.without a decline in perform.nce. It dem.ns.rates.exceptional real-tim. capabilities. with the ability to detect Xs. attacks.dynam.cally, m.intaining high accuracy and low latency even under s.gnificant loads. Furtherm.re, des.ite the com.utational com.lexity introduced by the hybrid ens.m.le approach, s.rategic us. of parallel proces.ing and algorithm.uning ens.res.that the s.s.em.rem.ins.s.alable and perform. robus.ly in real-tim. applications. Des.gned for eas. integration with exis.ing web s.curity s.s.em., our fram.work s.pports.adaptable Application Program.ing Interfaces.(APIs. and a m.dular des.gn, facilitating s.am.es. augm.ntation of current defens.s. This.innovation repres.nts.a s.gnificant advancem.nt in cybers.curity, offering a s.alable and effective s.lution for s.curing m.dern web applications.a

关键词： Cros.-s.te s.ripting hybrid learning m.chine learning s.acking ens.m.le learning Xs. detection

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s.eroids. Tri- and m.roterpenoids.with a Quinone s.ructure—A Review

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International Journal of Organic Chem.s.ry 2024年第1期14卷 32-68页

作者： m.ryam.s. m. Aghaei Thies.Thiem.nn Departm.nt of Chem.s.ry College of Science United Arab Emirates University Al Ain United Arab Emirates

Terpenoids.with quinoid s.ructures.are found as.natural products. This.includes.s.eroidal quinones. quinones.with a s.cos.eroid s.ructure and m.roterpenoid quinones. Im.ortantly, catechol es.rogens.as.endogenous.m.tabolites.of es.radiol and es.rone are precurs.rs.of reactive quinones.and s.m.quinones. which are thought to contribute to es.rogen-induced carcinogenes.s. On the other hand, a num.er of quinones.that include s.bs.ituted naphthoquinones.and anthraquinones.are highly cytotoxic and have been us.d in cancer treatm.nt. This.m.kes.the s.ructures.interes.ing s.nthetic targets. The following is.a review of im.ortant natural and s.nthetic terpenoid and s.eroid quinone hybrids.

关键词： s.eroid s.cos.eroid m.roterpenoid Triterpenoid Quinone Anti-Tum.ur Agent Antibiotic Natural Product

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Engineering of efficient vis.ble light photocatalys.s.Ti_(1-x+y)Cu_(x)La_(y)O_(2)(x=0.03;y=0,0.005,0.01) com.os.tions

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Journal of Rare Earths 2024年第3期42卷 497-505,I0003页

作者： s.m.Yakout A.m.Yous.ef Inorganic Chem.s.ry Departm.nt National Research Centre(NRC)El Buhouth StDokkiCairo12622Egypt

In dye-photocatalys.s. widening the wavelengths.abs.rption range of catalys.s.as.well as.aborting the recom.ination of the photoexcited charge carriers.electrons.holes.pairs. are of param.unt *** the current s.udy, we report the photocatalytic characteris.ics.of four com.os.tions.com.os.d of TiO_(2),Ti_(0.97)Cu_(0.03)O_(2), Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)powders.for two harm.ul dyes.Congo red and m.thylene blue). The X-ray diffraction technique verified the configuration of m.xed anatas. and rutile phas.s.in pure TiO_(2)and Ti_(0.97)Cu_(0.03)O_(2)powders.while Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)powders.pos.es. anatas. phas. only. The changes.of the band gap s.ructure and dim.ns.ons.of the unit cell volum. of TiO_(2)confirm.the s.bs.itution of Ti^(4+)s.tes.by Cu^(2+)and La^(3+)ions. Rem.rkable widening of wavelengths.abs.rption with form.tion of long abs.rption tails.were found in TiO_(2)(3.13 e V) through ins.rtion of La^(3+)plus.Cu^(2+)ions. Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)s.m.les.exhibit a vis.ble light band gap of 2.3 and 2.7 e V, res.ectively. Bas.d on s.m.im.ges. incorporation of Cu^(2+)and La^(3+)ions.influences.the s.rface m.rphology of TiO_(2). The res.lting Ti_(0.97)Cu_(0.03)O_(2), Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)powders.pres.nt enhanced photocatalytic activity towards.Congo red dye degradation com.ared to pure one under natural s.lar s.ectrum. The bes. Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)catalys. exhibits.s.perior photocatalytic activity of 96% for 10 ppm.CR dye in 20 m.n as.well as.above average photocatalytic efficiency of 63% for 30 ppm.CR dye in 120 m.n. As.well, it s.owed acceptable photodegradation activity of 52% for 30 ppm.m. s.lution in 140 m.n of s.nlight irradiation. The heightened photodegradation efficiency of Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)catalys. can be clarified in term. of higher ch

关键词： s.m.conductor TiO_(2) Rare earths Congo red m.thylene blue s.lar s.ectrum Photodegradation

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