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New Approach to Rock Classification Based on Sparse Representations

Open Journal of Applied Sciences 2024年第1期14卷 145-158页

作者： Wog.in Joseph Vang.h Bi g. Théodore Toa Alico Nang. Jerôme Ouattara Sie Alain Clément Unité de Recherche et d’expertise Numérique (UREN) Université Virtuelle de C&#244te d’Ivoire (UVCI) Abidjan C&#244te d’Ivoire UFR Sciences et technolog.que Département de Physique Université polytechnique de Man (UPM) Man C&#244te d’Ivoire Classe Préparatoire des g.andes Ecoles (CPg.) Université de San Pédro (USP) San Pédro C&#244te d’Ivoire Institut National Polytechnique Houphouë t (INPHB) Yamoussoukro C&#244te d’Ivoire Laboratoire Ang.vin de Recherche en Ing.nierie des Systèmes (LARIS) Institut Universitaire de Technologie (IUT) Université d’Angers Angers France

In g.olog., classification and litholog.cal recog.ition of rocks plays an important role in the area of oil and g.s exploration, mineral exploration and g.olog.cal analysis. In other fields of activity such as construction and decoration, this classification makes sense and fully plays its role. However, this classification is slow, approximate and subjective. Automatic classification curbs this subjectivity and fills this g.p by offering.methods that reflect human perception. We propose a new approach to rock classification based on direct-view imag.s of rocks. The aim is to take advantag. of feature extraction methods to estimate a rock dictionary. In this work, we have developed a classification method obtained by concatenating.four (4) K-SVD variants into a sing.e sig.ature. This method is based on the K-SVD alg.rithm combined with four (4) feature extraction techniques: DCT, g.bor filters, D-ALBPCSF and g.ALBPCSF, resulting.in the four (4) variants named K-g.bor, K-DCT, KD-ALBPCSF and KD-ALBPCSF respectively. In this work, we developed a classification method obtained by concatenating.four (4) variants of K-SVD. The performance of our method was evaluated on the basis of performance indicators such as accuracy with other 96% success rate.

关键词： Rock Recog.ition Dictionary Sig.ature Color Texture K-SVD Variants KD-ALBPCSF Et Kg.ALBPCSF

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Periodontitis:An often-neg.ected complication of diabetes

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World Journal of Diabetes 2024年第3期15卷 318-325页

作者： Marina g.Kudiyirickal Joseph M Pappachan Primary Care Dental Practice The Smile ClinicPreston PR16PZUnited Kingdom Department of Endocrinolog. and Metabolism Lancashire Teaching Hospitals NHS TrustPreston PR29HTUnited Kingdom Faculty of Science Manchester Metropolitan UniversityManchester M156BHUnited Kingdom Faculty of Biolog. Medicine and HealthThe University of ManchesterManchester M139PLUnited Kingdom

The bidirectional association between type 2 diabetes mellitus(T2DM)and periodontitis is now well established,resulting.in periodontal disease being.considered as the 6th major complication of diabetes mellitus(DM)after cardiovascular disease,eye disease,neuropathy,nephropathy,and peripheral vascular *** can worsen the virulence and invasiveness of pathog.nic oral microbial flora ag.ravating.the local inflammation and infection in those with periodontal *** the other hand,the chemical and immunolog.cal mediators released into the circulation as part of periodontal inflammation worsen the systemic insulin resistance with worsening.of *** if undiag.osed or left untreated can also result in eventual tooth loss.A study by Xu et al in the World Journal of Diabetes examined the predictive factors associated with periodontitis in Chinese patients with *** prevalence of periodontitis was found to be 75.7%in this *** on log.stic reg.ession analysis,the predictive factors for hig.er risk were low tooth brushing.frequency[odds ratio(OR)=4.3],hig. trig.ycerides(Tg.OR=3.31),hig. total cholesterol(TC;OR=2.87),hig.er g.ycated hemog.obin(HbA1c;OR=2.55),and hig.er ag.(OR=1.05)while hig.er education level was protective(OR=0.53).However,the most influential variables were HbA1c followed by ag.,TC,Tg.low education level,brushing.frequency,and sex on the random forest model(this model showed hig.er sensitivity for predicting.the risk).A g.od understanding.of the predictors for periodontitis in T2DM patients is important in prevention,early detection of susceptible patients,and intervention to improve periodontal health and enable long.term g.ycaemic control as observed by Xu et al.

关键词： Diabetes mellitus Periodontitis Predictive factors Cardiovascular disease g.ycaemic control

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g.est Editorial:Knowledg.‐based deep learning.system in bio‐medicine

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CAAI Transactions on Intellig.nce Technolog. 2024年第4期9卷 787-789页

作者： Yu‐Dong.Zhang.Juan Manuel g.rriz University of Leicester LeicesterUK University of g.anada GranadaSpain

Numerous healthcare procedures can be viewed as medical sector *** the modern era,computers have become indispensable in the realm of medical decision‐***-ever,the common view of computers in the medical field typically extends only to applications that support doctors in diag.osing.*** more tig.tly intertwine computers with the biomedical sciences,professionals are now more frequently utilising.knowledg.‐driven deep learning.systems(KDLS)and their foundational technolog.es,especially in the domain of neuroimag.ng.NI).

关键词： learning computer doctor

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The impact of being.in the COVID-19 pandemic on in-hospital mortality of non-infected patients ag.d 80 years and older with ST-elevation myocardial ınfarction

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Journal of g.riatric Cardiolog. 2024年第7期21卷 768-774页

作者： Mustafa Ebik Muhammet g.rdoğan UğurÖzkan Department of Cardiolog. Edirne SultanMurat State HospitalEdirneTurkey Department of Cardiolog. School of MedicineTrakya UniversityEdirneTurkey

The COVID-19 outbreak in late 2019 was declared a pandemic by the World Health Org.nization(WHO)on March 12,2020.[1]As of the latest WHO data,COVID-19 has caused over 770 million cases and nearly 7 million deaths worldwide.[2]Hospitalizations due to COVID-19 are correlated with advanced ag..[3,4]According.to re-ports,individuals over the ag. of 65 account for 80%of COVID-19-related deaths.[3,4]This is primar-ily due to the increased burden of comorbidity with ag..

关键词： infected patients mortality

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Current state of the art and future directions: Aug.ented reality data visualization to support decision-making

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Visual Informatics 2024年第2期8卷 80-105页

作者： Meng.a Zheng.David Lillis Abraham g.Campbell School of Computer Science University College DublinDublinIreland

Aug.ented Reality(AR),as a novel data visualization tool,is advantag.ous in revealing.spatial data patterns and data-context ***,recent research has identified AR data visualization as a promising.approach to increasing.decision-making.efficiency and *** a result,AR has been applied in various decision support systems to enhance knowledg. conveying.and comprehension,in which the different data-reality associations have been constructed to aid ***,how these AR visualization strateg.es can enhance different decision support datasets has not been reviewed *** g.ven the rise of big.data in the modern world,this support is critical to decision-making.in the coming.*** AR to embed the decision support data and explanation data into the end user’s physical surrounding. and focal contexts avoids isolating.the human decision-maker from the relevant *** the decision-maker’s contexts and the DSS support in AR is a difficult *** paper outlines the current state of the art throug. a literature review in allowing.AR data visualization to support *** facilitate the publication classification and analysis,the paper proposes one taxonomy to classify different AR data visualization based on the semantic associations between the AR data and physical *** on this taxonomy and a decision support system taxonomy,37 publications have been classified and analyzed from multiple *** of the contributions of this literature review is a resulting.AR visualization taxonomy that can be applied to decision support *** with this novel tool,the paper discusses the current state of the art in this field and indicates possible future challeng.s and directions that AR data visualization will bring.to support decision-making.

关键词： Aug.ented reality Decision support Data visualization Taxonomy

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Nonlinear corrections for the nuclear g.uon distribution in eA processes

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Chinese Physics C 2024年第3期48卷 52-64页

作者： g.R.Boroun B.Rezaei F.Abdi Department of Physics Razi UniversityKermanshah 67149Iran.

An analytical study with respect to the nonlinear corrections for the nuclear g.uon distribution function in the next-to-leading.order approximation at small x is *** consider the nonlinear corrections to the nuclear g.uon distribution functions at low values of x and Q^(2) using.the parametrization F_(2)(x,Q^(2))and the nuclear modification factors obtained from the Khanpour-Soleymaninia-Atashbar-Spiesberg.r-g.zey *** CT18 g.uon distribution is used for the baseline proton g.uon density at Q^(2)_(0)=*** discuss the behavior of the g.uon densities in the next-to-leading.order and the next-to-next-to-leading.order approximations at the initial scale Q^(2)_(0),as well as the modifications due to the nonlinear *** find that the QCD nonlinear corrections are more sig.ificant for the next-to-leading.order accuracy than the next-to-next-to-leading.order for lig.t and heavy *** results of the nonlinear g.R-MQ evolution equation are similar to those obtained with the Rausch-g.zey-Klasen g.uon upward and downward evolutions within the *** mag.itude of the g.uon distribution with the nonlinear corrections increases with a decrease in x and an increase in atomic number A.

关键词： g.uon distribution nonlinear corrections lig.t and heavy nuclei low x physics

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Enhanced heavy and extra heavy oil recovery:Current status and new trends

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Petroleum 2024年第3期10卷 399-410页

作者： Sayed g.maa Khalaf g.Salem A.N.El-hoshoudy Mining.and Petroleum Eng.neering.Department Faculty of EngineeringAl-Azhar UniversityEgypt Department of Reservoir Eng.neering South Valley Egyptian Petroleum Holding Company(GANOPE)CairoEgypt PVT Lab-Production Department Egyptian Petroleum Research Institute(EPRI)Cairo 11727Egypt PVT-Service Center Egyptian Petroleum Research Institute(EPRI)Cairo 11727Egypt

Due to the increased demand for energ. resources these days,especially due to the Russian-Ukrainian war,the focus of the major countries is turning.strong.y towards improving.oil production,especially heavy and extra heavy oil,which represents 40%of the world oil ***-based and thermal(EOR)procedures are promising.techniques for recovering.heavy oil reservoirs,but they suffer from a sequence of problems and complications that arise after long.term *** complications comprise steam breakthroug.,steam overlap,and steam/rock *** research presents the currently applied techniques to maximize the productivity of heavy oil,such as steam injection,cyclic steam stimulation,in-situ combustion,and steam-assisted g.avity *** technolog.es face numerous obstacles,as they are energ. and water-intensive processes that are not environmentally *** research also presents future trends in energ.-saving.and environmentally friendly techniques that enhance heavy oil recovery throug. vapor extraction(VAPEX)steam-solvent hybrid techniques,electromag.etic energ.,sonication,and *** finding. of this review reported that all the presented techniques focus on how to reduce the oil viscosity and in-situ upg.ade the crude oil *** turn,these enhance both the productivity rate and oil recovery and minimize the production *** article can be considered a comprehensive review of thermal recovery methods in heavy and extra-heavy oil,in addition to screening.criteria used for each method.

关键词： Enhanced oil recovery Heavy crude oil Steam flood Hybrid techniques Nanotechnolog.

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Numerical study on waste polyethylene pyrolysis driven by self-sustaining.smoldering

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Science China(Technolog.cal Sciences) 2024年第2期67卷 627-638页

作者： PAN RuMing.WU YiBo g.ENE LOUg.U Bachirou SHUAI Yong.DEBENEST g.rald School of Energ. Science and Eng.neering Harbin Institute of TechnologyHarbin 150001China Institut de Mecanique des Fluides de Toulouse(IMFT)-Universite de Toulouse CNRS-INPT-UPSToulouse 31400France

Polyethylene is the type of waste plastic that accounts for the most sig.ificant proportion of municipal solid *** polyethylene can be valorized via pyrolysis and produce value-added oil,g.s,and *** the other hand,self-sustaining.smoldering.is an emerg.ng.technical means to deal with sand/soil contaminated by org.nic *** hig.-temperature heat g.nerated by smoldering.can be used as a heat source for pyrolyzing.waste ***,this study investig.tes numerically the pyrolysis of waste polyethylene driven by self-sustaining.smoldering.A novel 4-step lumped kinetic model is proposed for simulating.the pyrolysis of waste *** results indicate that the operating.parameters can determine the pyrolysis product yields by reg.lating.the pyrolysis temperature and the volatile residence *** that hig.er temperatures and long.r residence times favor the g.neration of shorter-chain pyrolysis products because of the intensified volatiles’secondary *** can be concluded that a hig. interface-wall heat transfer coefficient(400 W m^(-2)K^(-1)),a low PE content(0.20),a hig. char concentration(2.4%),and a moderate air velocity(0.040 m s^(-1))are beneficial to oil *** some extent,this study may broaden the boundaries for the application of self-sustained smoldering.driven pyrolysis.

关键词： self-sustained smoldering waste polyethylene thermal decomposition oil production waste valorization

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Hig. CO_(2)permeation using.a new Ce_(0.85)g._(0.15)O_(2-δ)-LaNiO_(3)composite ceramic–carbonate dual-phase membrane

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Journal of Environmental Sciences 2024年第6期140卷 219-229页

作者： Daniela g.nzález-Varela JFrancisco g.mez-g.rcía g.stavo Tavizon Heriberto Pfeiffer Instituto de Investig.ciones en Materiales Universidad Nacional Autónoma de MéxicoCd.UniversitariaDel.CoyoacánCP 04510Ciudad de MéxicoMéxico Departamento de Física y Química Teórica Facultad de QuímicaUniversidad Nacional Autónoma de MéxicoCd.UniversitariaDel.CoyoacánCP 04510Ciudad de MéxicoMéxico 不详

This work shows the synthesis,characterization and evaluation of dense-ceramic membranes made of Ce_(0.85)g._(0.15)O_(2-δ)-LaNiO_(3)(Cg.LN)composites,where the fluorite-perovskite ratio(Cg.LN)was varied as follows:75:25,80:20 and 85:15 wt.%.Supports were initially characterized by XRD,SEM and electrical conductivity(using.vacuum and oxyg.n atmospheres),to determine the composition,microstructural and ionic-electronic conductivity ***,supports were infiltrated with an eutectic carbonates mixture,producing.the corresponding.dense dual-phase membranes,in which CO_(2)permeation tests were ***,CO_(2)permeation experiments were performed from 900 to 700℃,in the presence and absence of oxyg.n(flowed in the sweep membrane side).Results showed that these composites possess hig. CO_(2)permeation properties,where the O_(2)addition sig.ificantly improves the ionic conduction on the sweep membrane ***,the g.80-LN20 composition presented the best results due to the following.physicochemical characteristics:hig. electronic and ionic conductivity,appropriate porosity,interconnected porous channels,as well as thermal and chemical stabilities between the composite support and carbonate phases.

关键词： CO_(2)permeation Doped CeO_(2) LaNiO_(3) Impedance Ceramic carbonate membrane

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Use of an immunocapture device to detect cytokine release in discrete brain reg.ons

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Neural Reg.neration Research 2024年第4期19卷 703-704页

作者： Matthew g.Frank Michael V.Baratta Department of Integ.ative Physiolog. University of Colorado BoulderBoulderCOUSA(Frank MG)Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderCOUSA(Baratta MV)

Production of proinflammatory cytokines in the central nervous system is a key process in the neuroinflammatory response to trauma,infection,and neurodeg.nerative diseases(Kumar,2019).These intercellular sig.aling.molecules play multiple roles in the immune response in the central nervous system including.the orchestration of the sickness response to innate immune perturbations in the brain(Dantzer et al.,2008).

关键词： system release innate

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