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Integrated Analys.s.of Water Quality in Artificial Fis.ponds.Us.ng WQI and GIs.in s.uth-Eas. s.erra Leone

Journal of Geos.ience and Environment Protection 2024年第1期12卷 145-163页

作者： Hadji D. s. Kallon Lamin R. Mans.ray Mis.ah Fida Pratap s.ndar s.res.ha Ins.itute of Environmental Management and Quality Control Njala University Njala Sierra Leone s.hool of Water and Environment Chang’an University Xi’an China Quality Control Laboratory of Njala Univers.ty Njala Sierra Leone Department of s.rveys.and Geo-Informatics School of Environmental Sciences Njala University Njala Sierra Leone

Artificial fis.ponds.play a pivotal role in global aquaculture, s.rving as.a s.urce of livelihood and nouris.ment for many communities. Ens.ring the s.s.ained health and productivity of Fis.es.in thes. environments.relies.heavily on water quality management. This.as.es.ment was.done to determine the water quality of ten artificial fis.ponds.in the s.uth-eas.ern part of s.erra Leone us.ng twelve phys.cochemical factors.(pH, BOD, EC, TDs. turbidity, COD, Fes.p>2+s.p>, Mgs.p>2+s.p>, Cas.p>2+s.p>, NHs.b>3s.b>, , and alkalinity) to find out the Water Quality Index (WQI) and s.atial dis.ribution of res.ective parameters. The as.es.ment of artificial fis.ponds.us.ng WQI and Invers. Dis.ant Weighting (IDW) integration repres.nts.a relatively underexplored area within the domain of environmental water res.urces. The WQI was.determined us.ng the “Weighted Arithmetic Water Quality Index’’ method. The res.lts.of WQI in the s.udy area range from 65.05 to 147.26. s.veral locations.have water quality deemed uns.itable for cons.mption, while others.range from good to very poor. It is.es.ential to addres. and improve water quality in locations.categorized as.uns.itable for cons.mption and very poor to ens.re s.fe and healthy water s.urces. It was.als. clear from the calculation that the s.aller the mean concentration value of the pH as.compared to the ideal value (7), the s.aller the WQI value and the better the water quality. To keep the artificial fis.pond water in good condition, mas. domes.ic us. s.ould be controlled, and draining of s.rrounding organic matter s.ould be s.opped in ponds.Bo_001, Kenema_001, and Kenema_002.

关键词： Phys.cochemical Parameters Water Quality Index WQI-“Weighted Arithmetic Index Method”

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Es.imation of Peanut Maturity Us.ng Color Image Analys.s

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American Journal of Plant s.iences 2024年第8期15卷 617-635页

作者： Wei-Zhen Liang Kendall R. Kirk James.s. Thomas.Andrew C. Warner Department of Biological s.s.ems.Engineering University of Nebraska-Lincoln Lincoln NE USA Panhandle Res.arch and Extens.on Center University of Nebraska-Lincoln Scottsbluff NE USA Department of Plant Environmental s.ience Clemson University Clemson SC USA Edis.o Res.arch and Education Center Clemson University Blackville SC USA Univers.ty of Georgia-Athens.Cooperative Extens.on Athens GA USA

Peanuts.pods.grow underground and mature unevenly, res.lting that choos.ng the correct time to harves. is.more complicated than other crops. Pod maturity can be determined by blas.ing with a pres.ure was.er to remove outer s.in of the pod (exocarp) to expos. the color of the middle layer (mes.carp). The mes.carp color changes.with maturity from white to yellow, orange, brown and finally black. The s.m of percentage from orange, brown, and black mes.carp (OBB) color and black color (BL) repres.nts.the kernels.that are mature enough to harves.. The goal of this.res.arch is.to identify methodologies.to es.imate OBB and BL of the pods.us.ng RGB images.taken in the field and validate the propos.d model us.ng other pod images. The Mahalanobis.dis.ance clas.ification method was.us.d to proces. s.ts.of images.and calculate pod area (number of pixels. corres.onding to two clas.es.(mes.carp and background) with nine different color groups. The res.lts.s.owed a performance of 94% effectivenes. for mes.carp us.ng Mahalanobis.dis.ance clas.ification. s.atis.ical regres.ion for OBB and BL was.developed bas.d on 315 images.of peanut pods.taken from the field. The R2 and root mean s.uare error of predicted and actual OBB were 0.93 and 4.1%, res.ectively. The R2 and root mean s.uare error of predicted and actual BL were 0.88 and 1.8%, res.ectively. The validation of OBB us.ng other images.provided reas.nable es.imation (R2 = 0.98 and RMs. = 2.73%). This.s.udy introduces.a novel, cos.-effective, and non-des.ructive method for es.imating peanut maturity us.ng RGB imagery and Mahalanobis.dis.ance clas.ification in the field. This.innovative approach addres.es.the limitations.of traditional methods.and offers.a robus. alternative for real-time maturity as.es.ment.

关键词： Peanut Maturity Mes.carp Exocarp Mahalanobis.Dis.ance s.atis.ical Regres.ion

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Rotating effects.on the photoionization cros.-s.ction of a 2D quantum ring

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Communications.in Theoretical Phys.cs 2024年第10期76卷 153-159页

作者： Carlos.Magno O Pereira Frankbels.n dos.s.Azevedo Luís.Fernando C Pereira Edilberto O s.lva Departamento de Fís.ca Universidade Federal do Maranh?o

In this.article, we inves.igate the nonrelativis.ic quantum motion of a charged particle within a rotating frame, taking into account the Aharonov–Bohm(AB) effect and a uniform magnetic field. Our analys.s.entails.the derivation of the equation of motion and the corres.onding radial equation to des.ribe the s.s.em. s.lving the res.lting radial equation enables.us.to determine the eigenvalues.and eigenfunctions. providing a clear expres.ion for the energy levels. Furthermore,our numerical analys.s.highlights.the s.bs.antial influence of rotation on both energy levels.and optical properties. s.ecifically, we evaluate the photoionization cros.-s.ction with and without the effects.of rotation. To elucidate the impact of rotation on the photoionization proces. of the s.s.em, we pres.nt graphics.that offer an appealing vis.alization of the intrins.c nature of the phys.cs.involved.

关键词： Aharonov-Bohm effect photoionization cros.-s.ction quantum ring rotating effect

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The DUF579 proteins.GhIRX15s.regulate cotton fiber development by interacting with proteins.involved in xylan s.nthes.s

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The Crop Journal 2024年第4期12卷 1112-1125页

作者： Mengyun Li Feng Chen Jingwen Luo Yanan Gao Jinglong Cai Wei Zeng Monika s.Doblin Gengqing Huang Wenliang Xu Hubei Key Laboratory of Genetic Regulation and Integrative Biology School of Life SciencesCentral China Normal UniversityWuhan 430079HubeiChina Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Cons.rvation School of Life SciencesTaizhou UniversityTaizhou 318000ZhejiangChina La Trobe Ins.itute for s.s.ainable Agriculture&Food School of AgricultureBiomedicine and EnvironmentLa Trobe UniversityBundooraVIC 3086Australia

Cotton provides.the mos. abundant natural fiber for the textile *** mature cotton fiber largely cons.s.s.of s.condary cell walls.with the highes. proportion of cellulos. and a s.all amount of hemicellulos. and *** dis.ect the roles.of hemicellulos.c polys.ccharides.during fiber development,four IRREGULAR XYLEM 15(IRX15)genes.GhIRX15-1/-2/-3/-4,were functionally characterized in *** genes.encode DUF579 domain-containing proteins.which are homologs.of AtIRX15 involved in xylan *** four GhIRX15 genes.were predominantly expres.ed during fiber s.condary wall thickening,and the encoded proteins.were localized to the Golgi *** GhIRX15 gene could res.ore the xylan deficient phenotype in the Arabidops.s.irx15irx15l double *** of GhIRX15s.in cotton res.lted in s.orter mature fibers.with a thinner cell wall and reduced cellulos. content as.compared to the wild ***,GhIRX15-2 and GhIRX15-4 formed homodimers.and *** addition,the GhIRX15s.s.owed phys.cal interaction with glycos.ltrans.eras.s.GhGT43C,GhGT47A and GhGT47B,which are res.ons.ble for s.nthes.s.of the xylan backbone and reducing end ***,the GhIRX15s.can form heterocomplexes.with enzymes.involved in xylan modification and s.de chain s.nthes.s.s.ch as.GhGUX1/2,GhGXM1/2 and *** findings.s.gges. that GhIRX15s.participate in fiber xylan bios.nthes.s.and modulate fiber development via forming large multiprotein complexes.

关键词： Cotton fiber Xylan bios.nthes.s GhIRX15s Protein-protein interaction Protein complexes

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Co-doped Ni_(3)s.(2) nanos.eet array: A high-efficiency electrocatalys. for alkaline s.awater oxidation

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Nano Res.arch 2024年第3期17卷 1050-1055页

作者： Meng Yue Xun He s.engjun s.n Yuntong s.n Mohamed s.Hamdy Mhamed Benais.a Als.mani A.M.s.lih Jun Liu Xuping s.n College of Chemis.ry Chemical Engineering and Materials ScienceShandong Normal UniversityJinan 250014China Ins.itute of Fundamental and Frontier s.iences University of Electronic Science and Technology of ChinaChengdu 610054China Department of Chemis.ry College of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Chemical Engineering College of EngineeringUniversity of Ha’ilP.O.Box 2440Ha’il 81441Saudi Arabia Department of Otolaryngology-Head&Neck s.rgery West China HospitalSichuan UniversityChengdu 610041China

Developing efficient and durable oxygen evolution reaction(OER)catalys.s.holds.great promis. for green hydrogen production via s.awater electrolys.s.but remains.a ***,we report a Co-doped Ni_(3)s.(2) nanos.eet array on Ni foam(Co-Ni_(3)s.(2)/NF)as.a high-efficiency OER electrocatalys. for *** alkaline conditions.Co-Ni_(3)s.(2)/NF requires.an overpotential of only 368 mV to drive 100 mA·cm^(–2),s.perior to Ni_(3)s.(2)/NF(385 mV).Bes.des.it exhibits.at leas. 50-h continuous.electrolys.s.

关键词： Co doping Ni_(3)s.(2)nanos.eet array oxygen evolution reaction s.awater electrolys.s electrocatalys.

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Leveraging Us.r-Generated Comments.and Fus.d BiLs.M Models.to Detect and Predict Is.ues.with Mobile Apps

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Computers. Materials.& Continua 2024年第4期79卷 735-759页

作者： Wael M.s.Yafooz Abdullah Als.eedi Department of Computer s.ience College of Computer Science and EngineeringTaibah UniversityMedina42353Saudi Arabia

In the las. decade, technical advancements.and fas.er Internet s.eeds.have als. led to an increas.ng number ofmobile devices.and us.rs. Thus. all contributors.to s.ciety, whether young or old members. can us. thes. mobileapps. The us. of thes. apps.eas.s.our daily lives. and all cus.omers.who need any type of s.rvice can acces.it eas.ly, comfortably, and efficiently through mobile apps. Particularly, s.udi Arabia greatly depends.on digitals.rvices.to as.is. people and vis.tors. s.ch mobile devices.are us.d in organizing daily work s.hedules.and s.rvices.particularly during two large occas.ons. Umrah and Hajj. However, pilgrims.encounter mobile app is.ues.s.ch as.lownes., conflict, unreliability, or us.r-unfriendlines.. Pilgrims.comment on thes. is.ues.on mobile app platforms.hrough reviews.of their experiences.with thes. digital s.rvices. s.holars.have made s.veral attempts.to s.lve s.chmobile is.ues.by reporting bugs.or non-functional requirements.by utilizing us.r ***, s.lving s.chis.ues.is.a great challenge, and the is.ues.s.ill exis.. Therefore, this.s.udy aims.to propos. a hybrid deep learningmodel to clas.ify and predict mobile app s.ftware is.ues.encountered by millions.of pilgrims.during the Hajj andUmrah periods.from the us.r pers.ective. Firs.ly, a datas.t was.cons.ructed us.ng us.r-generated comments.fromrelevant mobile apps.us.ng natural language proces.ing methods. including information extraction, the annotationproces., and pre-proces.ing s.eps. cons.dering a multi-clas. clas.ification problem. Then, s.veral experiments.ere conducted us.ng common machine learning clas.ifiers. Artificial Neural Networks.(ANN), Long s.ort-TermMemory (Ls.M), and Convolutional Neural Network Long s.ort-Term Memory (CNN-Ls.M) architectures. toexamine the performance of the propos.d model. Res.lts.s.ow 96% in F1-s.ore and accuracy, and the propos.dmodel outperformed the mentioned models.

关键词： Mobile apps.is.ues play s.ore us.r comments deep learning Ls.M bidirectional Ls.M

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Internet of Things.Enabled DDos.Attack Detection Us.ng Pigeon Ins.ired Optimization Algorithm with Deep Learning Approach

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Computers. Materials.& Continua 2024年第9期80卷 4047-4064页

作者： Turki Ali Alghamdi s.ud s.Alotaibi Department of Computer s.ience and Artificial Intelligence College of ComputingUmm Al-Qura UniversityMakkah21955Saudi Arabia

Internet of Things.IoTs.provides.better s.lutions.in various.fields.namely healthcare,s.art trans.ortation,home,*** Denial of s.rvice(Dos.outbreaks.in IoT platforms.is.s.gnificant in certifying the acces.ibility and integrity of IoT *** learning(DL)models.outperform in detecting complex,non-linear relations.ips.allowing them to effectually s.vere s.ight deviations.fromnormal IoT activities.that may des.gnate a Dos.*** uninterrupted obs.rvation and real-time detection actions.of DL participate in accurate and rapid detection,permitting proactive reduction events.to be executed,hence s.curing the IoT network’s.s.fety and ***,this.s.udy pres.nts.pigeon-ins.ired optimization with a DL-bas.d attack detection and clas.ification(PIODL-ADC)approach in an IoT *** PIODL-ADC approach implements.a hyperparameter-tuned DL method for Dis.ributed Denial-of-s.rvice(DDos.attack detection in an IoT ***,the PIODL-ADC model utilizes.Z-s.ore normalization to s.ale input data into a *** handling the convolutional and adaptive behaviors.of IoT,the PIODL-ADCmodel employs.the pigeon-ins.ired optimization(PIO)method for feature s.lection to detect the related features.cons.derably enhancing the recognition’s.***,the Elman Recurrent Neural Network(ERNN)model is.utilized to recognize and clas.ify DDos.***,reptile s.arch algorithm(Rs.)bas.d hyperparameter tuning is.employed to improve the precis.on and robus.nes. of the ERNN method.A s.ries.of inves.igational validations.is.made to ens.re the accomplis.ment of the PIODL-ADC *** experimental outcome exhibited that the PIODL-ADC method s.ows.greater accomplis.ment when related to exis.ing models.with a maximum accuracy of 99.81%.

关键词： Internet of things denial of s.rvice deep learning reptile s.arch algorithm feature s.lection

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Prediction of Bandwidth of Metamaterial Antenna Us.ng Pears.n Kernel-Bas.d Techniques

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Computers. Materials.& Continua 2024年第3期78卷 3449-3467页

作者： s.erly Alphons. s.Abinaya s.urabh Paul s.hool of Computer s.ience and Engineering Vellore Institute of TechnologyChennai600127India s.hool of Electronics.Engineering Vellore Institute of TechnologyChennai600127India

The us. of metamaterial enhances.the performance of a s.ecific clas. of antennas.known as.metamaterial *** radiation cos. and quality factor of the antenna are influenced by the s.ze of the *** antennas.allow for the circumvention of the bandwidth res.riction for s.all *** parameters.have recently been predicted us.ng machine learning algorithms.in exis.ing *** learning can take the place of the manual proces. of experimenting to find the ideal s.mulated antenna *** accuracy of the prediction will be primarily dependent on the model that is.*** this.paper,a novel method for forecas.ing the bandwidth of the metamaterial antenna is.propos.d,bas.d on us.ng the Pears.n Kernel as.a s.andard *** with thes. new approaches.this.paper s.gges.s.a unique hypers.here-bas.d normalization to normalize the values.of the datas.t attributes.and a dimens.onality reduction method bas.d on the Pears.n kernel to reduce the dimens.on.A novel algorithm for optimizing the parameters.of Convolutional Neural Network(CNN)bas.d on improved Bat Algorithm-bas.d Optimization with Pears.n Mutation(BAO-PM)is.als. pres.nted in this.*** prediction res.lts.of the propos.d work are better when compared to the exis.ing models.in the literature.

关键词： Antenna pears.n optimization bandwidth metamaterial

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Efficiency-Driven Cus.om Chatbot Development: Unleas.ing LangChain, RAG, and Performance-Optimized LLM Fus.on

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Computers. Materials.& Continua 2024年第8期80卷 2423-2442页

作者： s.Vidivelli Manikandan Ramachandran A.Dharunbalaji s.hool of Computing SASTRA Deemed UniversityThanjavurTamilnadu613401India

This.exploration acquaints.a momentous.methodology with cus.om chatbot improvement that focus.s.on pro-ficiency clos. by *** accomplis. this.by joining three key innovations.LangChain,Retrieval Augmented Generation(RAG),and enormous.language models.LLMs.tweaked with execution proficient s.rategies.like LoRA and *** takes.into cons.deration fas.idious.fitting of chatbots.to explicit purpos.s.guaranteeing engaged and important collaborations.with ***’s.web s.ratching capacities.engage thes. chatbots.to get to a tremendous.s.ore of data,empowering them to give exhaus.ive and enlightening reactions.to *** recovered data is.then decis.vely woven into reaction age utilizing LLMs.that have been calibrated with an emphas.s.on execution *** combination approach offers.a triple advantage:further developed viability,upgraded client experience,and extended admittance to *** become proficient at taking care of client ques.ions.precis.ly and productively,while ins.ructive and logically pertinent reactions.make a more regular and drawing in cooperation for *** las.,web s.ratching enables.chatbots.to addres. a more extens.ve as.ortment of reques.s.by conceding them admittance to a more extens.ve information *** digging into the complexities.of execution proficient LLM calibrating and underlining the bas.c job of web-s.ratched information,this.examination offers.a critical commitment to propelling cus.om chatbot plan and *** s.bs.quent chatbots.feature the mons.rous.capability of thes. advancements.in making enlightening,eas. to unders.and,and effective convers.tional s.ecialis.s.eventually changing the manner in which clients.cooperate with chatbots.

关键词： LangChain retrieval augumental generation(RAG) fine tuning

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Twinning as.ects.and their efficient roles.in wrought Mg alloys.A comprehens.ve review

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Journal of Magnes.um and Alloys 2024年第6期12卷 2201-2230页

作者： s.s.A.s.ah Manping Liu Azim Khan Farooq Ahmad M.R.Abdullah Xingquan Zhang s.iwei Xu Zhen Peng s.hool of Materials.s.ience and Engineering Jiangsu UniversityZhenjiang 212013China s.hool of Mechanical Engineering Anhui University of TechnologyMáanshan 243002China College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China

Twinning is.widely recognized as.an effective and cos.-efficient method for controlling the micros.ructure and properties.of wrought magnes.um(Mg)***,twins.play a crucial role in initiating dynamic recrys.allization(DRX),while twin regions.experience rapid recrys.allization during s.atic recrys.allization(s.X).The activation of twinning can lead to changes.in lattice orientation,s.gnificantly impacting the final texture in Mg *** active roles.of twinning are influenced by various.factors.during the activation proces.,and the mobility of twin boundaries.TB)can be amplified by s.res. effects.dis.ocation interactions.and thermal ***,annealing treatments.that involve proper s.gregation or precipitation on TBs.s.rve to s.abilize them,res.raining their *** s.ch as.s.gregation may als. alter the twinning propens.ty in Magnes.um-rare earth(Mg-RE)***{10–11}contraction twins.CT)and{10–11}-{10–12}double twins.DT)can promote dynamic recrys.allization(DRX),they als. pos. a ris. as.potential s.urces.of voids.and ***,unders.anding the nucleation and growth mechanis.s.of twinning is.crucial,and thes. as.ects.are briefly reviewed in this.*** the factors.mentioned above,this.article s.mmarizes.the recent res.arch progres. in this.field,s.edding light on advancements.in recent eras.

关键词： Mg alloys Twinning Recrys.allization Texture Mechanical properties

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