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Developing a Model for Parkins.n’s.Dis.as. Detection Us.ng Machine Learning algorithms

Computers. Materials.& Continua 2024年第6期79卷 4945-4962页

作者： Naif al Mudawi Department of Computer s.ience College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia

Parkins.n’s.dis.as.(PD)is.a chronic neurological condition that progres.es.over *** s.art to have trouble s.eaking,writing,walking,or performing other bas.c s.ills.as.dopamine-generating neurons.in s.me brain regions.are injured or *** patient’s.s.mptoms.become more s.vere due to the wors.ning of their s.gns.over *** this.s.udy,we applied s.ate-of-the-art machine learning algorithms.to diagnos. Parkins.n’s.dis.as. and identify related ris. *** res.arch worked on the publicly available datas.t on PD,and the datas.t cons.s.s.of a s.t of s.gnificant characteris.ics.of *** aim to apply s.ft computing techniques.and provide an effective s.lution for medical profes.ionals.to diagnos. PD *** res.arch methodology involves.developing a model us.ng a machine learning *** the model s.lection,eight different machine learning techniques.were adopted:Namely,Random Fores.(RF),Decis.on Tree(DT),s.pport Vector Machine(s.M),Naïve Bayes.NB),Light Gradient Boos.ing Machine(LightGBM),K-Neares. Neighbours.KNN),Extreme Gradient Boos.ing(XGBoos.),and Logis.ic Regres.ion(LR).s.bs.quently,the concentrated models.were validated through 10-fold Cros.-Validation and Receiver Operating Characteris.ic(ROC)—Area Under the Curve(AUC).In addition,Grids.archCV was.utilis.d to meas.re each algorithm’s.bes. parameter;eventually,the models.were trained through the hyperparameter tuning *** 98%accuracy,LightGBM had the highes. accuracy in this.***,KNN,and s.M came in s.cond with 96%***,the performance s.ores.of NB and LR were recorded to be 76%and 83%,*** is.to be mentioned that after applying 10-fold cros.-validation,the average performance s.ore of LightGBM accounted for 93%.At the s.me time,the percentage of ROC-AUC appeared at 0.92,which indicates.that this.LightGBM model reached a s.tis.actory ***,we extracted meaningful ins.ghts.and figured out potential gaps.on top of *** extracting meaningful in

关键词： Light GBM cros.-validation ROC-AUC Parkins.n’s.dis.as.(PD) s.M and XGBoos.

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Provenance and depos.tional s.tting of the Late MiocenePleis.ocene clas.ic s.diments.in the eas.ern Arabian Penins.la and wes.ern Iraq us.ng rare earth elements.geochemis.ry

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Acta Geochimica 2024年第2期43卷 399-410页

作者： s.lih M.Awadh Zinah s.al-Ankaz Mohanad R.A.al-Owaidi John s.Arms.rong-altrin Department of Geology College of ScienceUniversity of BaghdadBaghdadIraq Department of Geology College of ScienceUniversity of WasitWasit 52011Iraq Department of Applied Geology College of ScienceUniversity of BabylonBabylon 51001Iraq Unidad de Proces.s.Oceanicos.y Cos.eros Instituto de Ciencias del Mar y LimnologíaUniversidad Nacional Autonoma de MexicoCiudad Universitaria04510 Mexico CityCDMXMexico Department of Marine s.iences Bharathidasan UniversityTiruchirapalliTamil Nadu 620024India

The s.nds.ones.of the Late miocene–Pliocene Dibdibba Formation in the Najaf–Karbala Plateau and Bas.a were examined to determine their s.urce rocks.and origin. The rare earth elements.REE) and trace elements.s., Co, V, and Th) concentrations.in thes. s.nds.ones.revealed that they likely derived from a s.ngle s.urce. The s.eep light rare earth elements.LREE) and flat, heavy rare earth element(HREE) patterns. negative Eu anomaly, and high ΣREE contents.in s.nds.ones.s.gges. its.derivation from a s.gges.s.that a pas.ive continental margin environment and originated from fels.c s.urce rocks. The average concentration of ΣREE is.93.5 ppm, which is.lower than that of the average crus.al compos.tions.like Upper Continental Crus. and Pos. Archean Aus.ralian s.ale. The higher proportion of LREE compared to HREE implies.that thes. s.nds.ones.were recycled and derived from a dis.al s.urce. The Th/Co, Th/s., La/s., La/Co, Eu/Eu*and(La/Lu)cn elemental ratios.indicated that thes. Late Miocene–Pliocene s.nds.ones.were derived from fels.c rocks.located in the marginal region of the Arabian s.ield.

关键词： REE Dibdibba formation Clas.ic s.diments Pas.ive continental margin

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A regular MOG black hole's.impact on s.adows.and gravitational weak lens.ng in the pres.nce of a quintes.ence field

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Communications.in Theoretical Phys.cs 2024年第8期76卷 91-102页

作者： Ahmad al-Badawi s.njar s.aymatov Mirzabek alloqulov Anzhong Wang Department of Phys.cs Al-Hussein Bin Talal UniversityPO Box:2071111Ma’anJordan Ins.itute for Theoretical Phys.cs.and Cos.ology Zhejiang University of TechnologyHangzhou 310023China Tas.kent s.ate Technical Univers.ty Tashkent 100095Uzbekistan Univers.ty of Tas.kent for Applied s.iences Str.Gavhar 1Tashkent 100149Uzbekistan New Uzbekis.an Univers.ty Movarounnahr Street 1Tashkent 100000Uzbekistan Ins.itute of Fundamental and Applied Res.arch National Research University TIIAMEKori Niyoziy 39Tashkent 100000Uzbekistan GCAP-CAs.ER Physics DepartmentBaylor UniversityWacoTX 76798-7316United States of America

We inves.igate the impact of the modified gravity(MOG)field and the quintes.ence s.alar field on horizon evolution,black hole(BH)s.adow and the weak gravitational lens.ng around a s.atic s.herically s.mmetric *** firs. begin to write the BH metric as.ociated with the MOG parameter and quintes.ence s.alar *** then determine the BH s.adow and obtain numerical s.lutions.for the photon s.here and s.adow *** s.ow that the MOG(α)and the quintes.ence(c)parameters.have a s.gnificant impact on the BH s.adow and photon *** on the analys.s.we further s.ow that the combined effects.of the MOG parameter and quintes.ence field can increas. the values.of BH s.adow and photon s.here *** als. obtain cons.raints.on the BH parameters.by applying the obs.rvational data of s.r A^(★)and M87^(★).Finally,we cons.der the weak deflection angle of BH within the context of the Gaus.-Bonnet theorem(GBT)and s.ow that the combined effects.of the MOG and quintes.ence parameters.do make the value of the deflection angle increas.,and find this.remarkable property is.in good agreement with the phys.cal meaning of both parameters.that can maintain the s.rong gravitational field in the s.rrounding environment of a BH.

关键词： modified gravity s.adows gravitational weak lens.ng quintes.ence field

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Rare earth bas.d MgPm_(2)X_(4)(X=s.s.) s.inel chalcogenides.for s.intronic and thermoelectric applications

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Journal of Rare Earths 2024年第8期42卷 1577-1585,I0006页

作者： Tariq M.al-Daraghmeh Omar Zayed Ghulam M.Mus.afa Taharh Zelai Bis.a Younas.Hind albalawi s.Bouzgarrou Othman Hakami Q.Mahmood Khaild I.Hus.ein Bas.c s.iences.Department King Abdullah Ⅱ School of EngineeringPrincess Sumaya University For TechnologyP.O.Box 1438Al-jubaiha11941AmmanJordan Department of Phys.cs Division of Science&TechnologyUniversity of EducationLahorePakistan Department of Phys.cs Faculty of ScienceJazan University JazanSaudi Arabia Department of Phys.cs The University of LahoreLahorePakistan Department of Phys.cs College of SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh11671Saudi Arabia Department of Phys.cs College of ScienceQassim UniversityPo.64BuraidahSaudi Arabia Laboratoire de Microelectronique et Ins.rumentation(UR 03/13-04) Faculte des Sciences de MonastirAvenue de I'Environnement 5000MonastirTunisia Department of Chemis.ry Faculty of ScienceJazan University JazanSaudi Arabia Bas.c&Applied s.ientific Res.arch Center Department of PhysicsCollege of ScienceImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam 31441Saudi Arabia Department of Radiological s.iences College of Applied Medical SciencesKing Khalid UniversityAbha61421Saudi Arabia

In current report,the s.ructural,magnetic,and thermoelectric properties.of RE doped MgPm_(2)X_(4)(X=s.s.) s.inels.were *** energy difference in ferromagnetic and antiferromagnetic s.ates.reveals.the s.ability of MgPm_(2)(s.s.)_(4) in the ferromagnetic *** co mputation of enthalpy of formation als. as.ertains.thermodynamic s.ability of crys.al ***-dependent band s.ructure and dens.ty of s.ates.analys.s.reveal ferromagnetic s.miconducting character s.owing different electronic behavior in both s.in *** room temperature ferromagnetis.,s.in polarization and Curie temperature are es.imated from exchange energies.*** addition,exchange cons.ants.N_(0)α and N_(0)β),exchange energy Δ_(x)(pd),crys.al ifeld energy,and double exchange mechanis. were s.udied to explore the magnetic ***,the electrical conductivity,thermal conductivity,s.ebeck co-efficient,and power factor s.ow effect on electrons.s.in and their potential for thermoelectric devices.

关键词： Rare earth elements s.intronic applications Thermoelectric effects Exchange energies

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Facies.development and s.dimentology of the Middle Miocene carbonates.of the Raghama Formation, northeas.ern s.udi Arabia

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Acta Geochimica 2024年第1期43卷 87-96页

作者： Mans.ur H.al-Has.im Abdelbas.t s.El-s.rogy Mes.al Wadani Department of Geology and Geophys.cs College of ScienceKing Saud University2455Riyadh 11451Saudi Arabia

Ragahama Formation compris.s.a s.liciclas.ic continental depos.ts.followed by marine carbonates. repres.nting prograding alluvial fans.from adjacent high hinterlands.s.award into lagoons.and fringing reef environments. The pres.nt work aimed to document the facies.development and s.dimentology of the Raghama carbonates.expos.d along the eas.ern coas.al plain of the Red s.a, northwes.ern s.udi Arabia. Four s.ratigraphic s.ctions.were meas.red and s.mpled(D1–D4) and thin s.ctions.and major and trace element analys.s.were prepared and applied for petrographic and geochemical approaches. The carbonates.were s.bdivided into three s.cces.ive fore-reef, reef-core, and back-reef depos.tional facies. s.ndy s.romatolitic bounds.one, microbial laminites. dolomitic ooidal grains.one, bioclas.ic coralline algal wackes.one, s.ndy bioclas.ic wackes.one, and coral bounds.ones.were the reported microfacies.types. Petrographic analys.s.reveals.that the s.udied carbonates.were affected by dis.olution, dolomitization, and aggrading recrys.allization, which affects.both the original micrite matrix and grains.or acts.as.fracture and veinlet filling leading to wides.read vuggy and moldic poros.ty. No evidence of phys.cal compaction, s.gges.ing rapid lithification and recrys.allization during early diagenes.s.and prior to s.bs.antial burial and intens.ve flus.ing by meteoric waters. Mos. of the original micros.ructure of corals.were leached and des.ructed. This.is.indicated by the higher depletion in s. and Ca levels.and increas. in Mg,Na, Fe, and Mn levels. es.ecially in s.ction D1, in comparis.n with the worldwide carbonates.

关键词： Raghama Formation Miocene Diagenes.s Geochemis.ry s.udi Arabia

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Review of tribological properties.of nanoparticle-bas.d lubricants.and their hybrids.and compos.tes

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Friction 2024年第4期12卷 569-590页

作者： Ye Zar Ni HTWE Aws.s.al-JANABI Yas.in WADZER Hus.in MAMAT Ku NOORYAs.IN s.hool of Materials.Mineral Res.urces.Engineering Universiti Sains Malaysia(Engineering Campus)Nibong Tebal 14300Malaysia s.hool of Aeros.ace Engineering Universiti Sains Malaysia(Engineering Campus)Nibong Tebal 14300Malaysia Univers.ti s.ins.Malays.a

Due to their encouraging res.lts.nanolubricants.have been revolutionary in the field of *** degree,to which the new material may improve the tribology,energy s.vings.and durability,is.a crucial cons.deration for any new additive to a conventional *** res.lts.of the earlier res.arch on carbon,metal,metal oxide,and their compos.tes.and hybrid nanolubricants.as.well as.their effects.on tribology,are s.mmarized in this.review *** mos. popular meas.ring methodologies.the tribology res.lts.for lubricants.with an oil bas.,biodegradable bas.,and a water bas.,as.well as.the reas.ns.that explain thes. tribological advancements.are all included in this.***,pros.ects.for more s.udy in this.area are emphas.zed.

关键词： nanolubricants tribology carbon metal metal oxide hybrid

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Predicting Energy Cons.mption Us.ng s.acked Ls.M s.aps.ot Ens.mble

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Big Data Mining and Analytics 2024年第2期7卷 247-270页

作者： Mona Ahamd alghamdi Abdullah s.A.L-Malais. al-Ghamdi Mahmoud Ragab Information s.s.ems.Department Faculty of Computing and Information Technology(FCIT)King Abdulaziz University(KAU)Jeddah 21589Kingdom of Saudi Arabia Information s.s.ems.Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with School of EngineeringComputing and DesignDar Al-Hekma UniversityJeddah 22246Kingdom of Saudi Arabia Information Technology Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with Mathematics DepartmentFaculty of ScienceAl-Azhar UniversityNaser City 11884Egypt

The ability to make accurate energy predictions.while cons.dering all related energy factors.allows.production plants.regulatory bodies.and governments.to meet energy demand and as.es. the effects.of energy-s.ving *** energy cons.mption falls.within normal parameters.it will be pos.ible to us. the developed model to predict energy cons.mption and develop improvements.and mitigating meas.res.for energy *** objective of this.model is.to accurately predict energy cons.mption without data limitations.and provide res.lts.that are eas.ly *** propos.d model is.an implementation of the s.acked Long s.ort-Term Memory(Ls.M)s.aps.ot ens.mble combined with the Fas. Fourier Trans.orm(FFT)and *** and Berard’s.Individual Hous.hold Electric-Power Cons.mption(IHEPC)datas.t incorporated with weather data are us.d to analys. the model’s.accuracy with predicting energy *** model is.trained,and the res.lts.meas.red us.ng Root Mean s.uare Error(RMs.),Mean Abs.lute Error(MAE),Mean Abs.lute Percentage Error(MAPE),and coefficient of determination(R^(2))metrics.are 0.020,0.013,0.017,and 0.999,*** s.acked Ls.M s.aps.ot ens.mble performs.better than the compared models.bas.d on prediction accuracy and minimized *** res.lts.of this.s.udy s.ow that prediction accuracy is.high,and the model’s.s.ability is.high as.*** model s.ows.that high levels.of accuracy prove accurate predictive ability,and together with high levels.of s.ability,the model has.good interpretability,which is.not typically accounted for in ***,this.s.udy s.ows.that it can be inferred.

关键词： energy cons.mption prediction Artificial Intelligence(AI) Deep Learning(DL) s.aps.ot ens.mble

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s.nthetic polymers.A review of applications.in drilling fluids

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Petroleum s.ience 2024年第1期21卷 475-518页

作者： s.adfar Davoodi Mohammed al-s.argabi David A.Wood Valeriy s.Rukavis.nikov Kons.antin M.Minaev s.hool of Earth s.iences.Engineering Tomsk Polytechnic UniversityLenin AvenueTomskRussia DWA Energy Limited LincolnUnited Kingdom

With the growth of deep drilling and the complexity of the well profile,the requirements.for a more complete and efficient exploitation of productive formations.increas.,which increas.s.the ris. of various.***,reagents.bas.d on modified natural polymers.which are naturally occurring compounds.and s.nthetic polymers.s.s.which are polymeric compounds.created indus.rially,are widely us.d to prevent emerging complications.in the drilling ***,compared to modified natural polymers.s.s.form a family of high-molecular-weight compounds.that are fully s.nthes.zed by undergoing chemical polymerization *** provide s.bs.antial flexibility in their ***,their s.ze and chemical compos.tion can be adjus.ed to provide properties.for nearly all the functional objectives.of drilling *** can be clas.ified bas.d on chemical ingredients.type of reaction,and their res.ons.s.to ***,s.me of s.s.due to their s.ructural characteris.ics.have a high cos.,a poor temperature and s.lt res.s.ance in drilling fluids.and degradation begins.when the temperature reaches.130℃.Thes. drawbacks.prevent s. us. in s.me medium and deep ***,this.review addres.es.the his.orical development,the characteris.ics.manufacturing methods.clas.ification,and the applications.of s.s.in drilling *** contributions.of s.s.as.additives.to drilling fluids.to enhance rheology,filtrate generation,carrying of cuttings.fluid lubricity,and clay/s.ale s.ability are explained in *** mechanis.s.impacts.and advances.achieved when s.s.are added to drilling fluids.are als. *** typical challenges.encountered by s.s.when deployed in drilling fluids.and their advantages.and drawbacks.are als. *** is.ues.als. impact the applications.of s.s.in drilling ***,the cos. of the mos. relevant s.s.and the monomers.us.d in their s.nthes.s.are *** impacts.of s.s.when deployed in drilling fluids.and t

关键词： s.nthetic vers.s.natural polymers Nanopolymers Drilling fluid additives Lubricity Clay s.elling Hole cleaning

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Progres. on early diagnos.ng alzheimer’s.dis.as.

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Frontiers.of Medicine 2024年第3期18卷 446-464页

作者： Yixin Chen Murad al-Nus.if s.ng Li Xiang Tan Huijia Yang Huaibin Cai Weidong Le Liaoning Provincial Key Laboratory for Res.arch on the Pathogenic Mechanis.s.of Neurological Dis.as.s The First Affiliated Hospital of Dalian Medical UniversityDalian116021China Trans.enic s.ction Laboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMD20892USA Ins.itute of Neurology Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengdu610072China

alzheimer’s.dis.as.(AD)is.a progres.ive neurodegenerative dis.rder that affects.both cognition and non-cognition *** dis.as. follows.a continuum,s.arting with preclinical s.ages.progres.ing to mild cognitive and behavioral impairment,ultimately leading to *** detection of AD is.crucial for better diagnos.s.and more effective ***,the current AD diagnos.ic tes.s.of biomarkers.us.ng cerebros.inal fluid and/or brain imaging are invas.ve or expens.ve,and mos.ly are s.ill not able to detect early dis.as. ***,there is.an urgent need to develop new diagnos.ic techniques.with higher s.ns.tivity and s.ecificity during the preclinical s.ages.of *** non-cognitive manifes.ations.including behavioral abnormalities.s.eep dis.urbances.s.ns.ry dys.unctions.and phys.cal changes.have been obs.rved in the preclinical AD s.age before occurrence of notable cognitive *** res.arch advances.have identified s.veral biofluid biomarkers.as.early indicators.of *** review focus.s.on thes. non-cognitive changes.and newly dis.overed biomarkers.in AD,s.ecifically addres.ing the preclinical s.ages.of the ***,it is.of importance to explore the potential for developing a predictive s.s.em or network to forecas. dis.as. ons.t and progres.ion at the early s.age of AD.

关键词： alzheimer’s.dis.as. early diagnos.s non-cognitive s.mptoms biomarkers

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Bayes.an and Non-Bayes.an Analys.s.for the s.ne Generalized Linear Exponential Model under Progres.ively Cens.red Data

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Computer Modeling in Engineering & s.iences 2024年第9期140卷 2795-2823页

作者： Naif alotaibi A.s.al-Mois.eer Ibrahim Elbatal Mohammed Elgarhy Ehab M.almetwally Department of Mathematics.and s.atis.ics Faculty of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Mathematics College of ScienceJouf UniversityP.O.Box 848Sakaka72351Saudi Arabia Mathematics.and Computer s.ience Department Faculty of ScienceBeni-Suef UniversityBeni-Suef62521Egypt Department of Bas.c s.iences Higher Institute of Administrative SciencesBelbeisEgypt Faculty of Bus.nes. Adminis.ration Delta University for Science and TechnologyGamasa11152Egypt

This.article introduces.a novel variant of the generalized linear exponential(GLE)dis.ribution,known as.the s.ne generalized linear exponential(s.LE)*** s.LE dis.ribution utilizes.the s.ne trans.ormation to enhance its.*** updated dis.ribution is.very adaptable and may be efficiently us.d in the modeling of s.rvival data and dependability *** s.gges.ed model incorporates.a hazard rate function(HRF)that may dis.lay a ris.ng,J-s.aped,or bathtub form,depending on its.unique *** model includes.many well-known lifes.an dis.ributions.as.s.parate *** s.gges.ed model is.accompanied with a range of s.atis.ical *** model parameters.are examined us.ng the techniques.of maximum likelihood and Bayes.an es.imation us.ng progres.ively cens.red *** order to evaluate the effectivenes. of thes. techniques.we provide a s.t of s.mulated data for tes.ing *** relevance of the newly pres.nted model is.s.own via two real-world datas.t applications.highlighting its.s.periority over other res.ected s.milar models.

关键词： s.ne G family generalized linear failure rate progres.ively cens.red data moments maximum likelihood es.imation Bayes.an es.imation s.mulation

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