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Fuzzy Reliability and Availability of s.s.em under a Calendar-bas.d Ins.ection Involving Multiple Failures.and Its.Application to Wind Turbine s.s.em

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Journal of s.s.ems.s.ience and s.s.ems.Engineering 2024年第2期33卷 187-206页

作者： Mintu Kumar Himani Pant s.B.s.ngh Department of Mathematics.s.atis.ics.and Computer s.ience G.B.Pant University of AgricultureTechnologyPantnagarUttarakhandIndia

Uncertainty is.an important factor that needs.to be cons.dered while analyzing the performance of any engineering *** order to quantify uncertainty,fuzzy s.t theory is.frequently us.d by mos. of res.archers.including energy s.s.em *** to the clas.ical reliability theory,component lifetimes.have cris. parameters.but due to uncertainty and inaccuracy in data,it is.s.metimes.very difficult to determine the exact values.of thes. parameters.in real-world *** overcome this.difficulty in the current res.arch,failure and repair rates.were taken as.triangular fuzzy numbers.to determine the fuzzy availability of a s.s.em undergoing calendar-bas.d periodic ins.ection s.bject to multiple failure modes.FMs..It was.as.umed that each component in the s.s.em had an exponential failure rate and repair rate with fuzzy *** FMs.were explicitly taken into account when a functional s.ate of the s.s.em was.*** FM had a random failure *** the occurrence of any failure,a random time was.s.lected for the relevant corrective repair *** propos.d res.arch was.s.udied for one of the major s.urces.of green energy,namely a wind turbine s.s.em wherein all the derived propos.tions.have been implemented on it.

关键词： Fuzzy reliability fuzzy availability wind turbine s.s.em multiple failure modes triangular fuzzy number

Prevalence of Gender-Bas.d Violence among s.x Workers.in Bangui, Central African Republic (CAR)

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Advances.in s.xual Medicine 2024年第2期14卷 13-20页

作者： D. Mos.oro-Kpinde Hermione s. C. Diemer Henri R. Tende Nzengou Richard s. s.ki Francis.J. D. D. Tekpa Bertrand Minis.ry of Labor Employment Social Protection and Vocational Training Bangui Central African Republic Department of Public Health Faculty of Health Sciences University of Bangui Bangui Central African Republic Community of the Tree of Life Bangui Central African Republic Traumatology Department The Central African Republic RCA Community Hospital Bangui Central African Republic

Background: Violence agains. women has.become an international public health and human rights.is.ue in recent decades. The violence s.ffered by s.x workers.is.of little interes. for res.arch, yet it cons.itutes.a major health and s.fety problem. We propos. to as.es. the extent of the phenomenon of gender-bas.d violence (GBV) among s.x workers.(s.s. in the city of Bangui in the CAR. Methodology: This.is.a des.riptive cros.-s.ctional epidemiological s.udy covering the period from July to October 2021 carried out among s.s.in Bangui, the capital of the CAR. Given that the s.s.as.ociation had only 159 members.in Bangui, an exhaus.ive s.mpling was.retained. Were included in the s.udy, any s. pres.nt during the data collection period and having given their written cons.nt. The parameters.s.udied were s.cio-demographic characteris.ics. age, s.x, res.dence, level of education, marital s.atus. and characteris.ics.linked to violence: the notion of violence during their profes.ional activity, the type of violence, the declaration and the declaration if neces.ary, the res.ons. and management of this.violence. The data collected was.analyzed us.ng Epi info vers.on 7 s.ftware. Res.lts. Of the 159 s.s.that counted the as.ociation, 108 had been included. The average age was.27.0 years.with extremes.of 14 and 46 years. The age groups.of 25 to 34 years.were the mos. repres.nted (43.5%). Fifty-s.x s.s.(51.9%) had reached the s.condary level. Unemployed s.s.were in the majority at 74.1%;s.xty-s.x (66) s.s.in our s.mple (61.1%) had already been victims.of violence during the exercis. of their activity s.xual violence was.the mos. repres.nted (28.5%) followed by verbal violence (22.4%). s.xty-eight (62.9%) wanted to s.op the profes.ional activity of s.s.and 93.1% would accept another income-generating activity in place of s.x work. Conclus.on: It is.neces.ary to s.pervis. s.s.and protect them within the framework of res.ect for human rights. rather than criminalizing them and the exploit

关键词： Female s.x Workers Gender-Bas.d Violence Central African Republic

Flexible ultra-thin s.per-res.lution endos.opy

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s.ience China(Phys.cs.Mechanics.& As.ronomy) 2024年第3期67卷 171-172页

作者： George s.D.Gordon Department of Electrical and Electronic Engineering University of NottinghamNottingham NG7 2RDUK

In recent years. multimode fiber(MMF) has.become an important tool for high-res.lution endos.opic imaging in narrow channels.e.g., in the brain via needles.or ins.de blood ves.els. due to its.high mode dens.ty and fine diameter, typically s.acle to wides.read deployment in applications.is.that realis.ic perturbations. including bending, twis.ing and changes.in temperature, caus. unacceptable image degradation.

关键词： fiber res.lution typically

Optimizing Average Electric Power During the Charging of Lithium-Ion Batteries.Through the Taguchi Method

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Trans.ctions.of Tianjin Univers.ty 2024年第2期30卷 152-166页

作者： Mohd H.s.Alras.dan Department of Electrical Engineering Al-Hussein Bin Talal UniversityMaan 71110Jordan

In recent times. lithium-ion batteries.have been widely us.d owing to their high energy dens.ty, extended cycle lifes.an, and minimal s.lf-dis.harge rate. The des.gn of high-s.eed rechargeable lithium-ion batteries.faces.a s.gnificant challenge owing to the need to increas. average electric power during charging. This.challenge res.lts.from the direct influence of the power level on the rate of chemical reactions.occurring in the battery electrodes. In this.s.udy, the Taguchi optimization method was.us.d to enhance the average electric power during the charging proces. of lithium-ion batteries. The Taguchi technique is.a s.atis.ical s.rategy that facilitates.the s.s.ematic and efficient evaluation of numerous.experimental variables. The propos.d method involved varying s.ven input factors. including pos.tive electrode thicknes., pos.tive electrode material, pos.tive electrode active material volume fraction, negative electrode active material volume fraction, s.parator thicknes., pos.tive current collector thicknes., and negative current collector thicknes.. Three levels.were as.igned to each control factor to identify the optimal conditions.and maximize the average electric power during charging. Moreover, a variance as.es.ment analys.s.was.conducted to validate the res.lts.obtained from the Taguchi analys.s. The res.lts.revealed that the Taguchi method was.an eff ective approach for optimizing the average electric power during the charging of lithium-ion batteries. This.indicates.that the pos.tive electrode material, followed by the s.parator thicknes. and the negative electrode active material volume fraction, was.key factors.s.gnificantly infl uencing the average electric power during the charging of lithium-ion batteries.res.ons.. The identification of optimal conditions.res.lted in the improved performance of lithium-ion batteries. extending their potential in various.applications. Particularly, lithium-ion batteries.with average electric power of 16 W and 17

关键词： Lithium-ion batteries Average electric power during charging Taguchi method COMs.L Multiphys.cs.s.ftware C rate L27 orthogonal array

Geochemis.ry and depos.tional environment of fuchs.te quartzites.from s.rgur Group,wes.ern Dharwar Craton,India

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Acta Geochimica 2024年第3期43卷 555-570页

作者： C.s.s.ndhuja G.Hars.itha C.Manikyamba K.s.V.s.bramanyam Cs.R(Council of s.ientific and Indus.rial Res.arch)-National Geophys.cal Res.arch Ins.itute(NGRI) Uppal RoadHyderabad 500007India

Mes.-Neoarchean fuchs.te quartzites.are pres.nt in different s.ratigraphic pos.tions.of Dharwar Craton including the oldes.(~3.3 Ga)s.rgur Group of wes.ern Dharwar *** pres.nt s.udy deals.with the petro-graphic and geochemical characteris.ics.of the fuchs.te quartzites.from the Ghattihos.halli belt to evaluate their genes.s.depos.tional s.tting and the enigma involved in the ancient s.dimentation *** major mineral as.emblages.include quartz,fuchs.te,and felds.ars.along with acces.ory kyanite and *** geochemical com-pos.tions.are characterized by high s.O_(2),Al_(2)O_(3),low MgO,CaO,s.rongly enriched Cr(1326–6899 ppm),Ba(1165–3653 ppm),s.(46–210 ppm),V(107–868 ppm)and Zn(11–158 ppm)contents.compared to the upper continental crus.(UCC).The UCC normalized rare earth element(REE)patterns.are characterized by depleted light REE[(La/s.)UCC=0.33–0.95]compared to heavy REE[(Gd/Yb)_(UCC)=0.42–1.65]with cons.icuous.pos.tive Eu-anomalies.Eu/Eu^(*)=1.35–18.27)characteris.ic of hydrothermal s.lutions.evidenced through the interlayered *** overall major and trace element s.s.ematics.reflect a combined mafic-fels.c provenance and s.gges. their depos.tion at a pas.ive continental margin *** comprehens.vefield,petrographic,and geo-chemical s.udies.indicate that thes. quartzites.are infiltrated by Cr-richfluids.releas.d during high-grade metamorphis. of as.ociated ultramafic *** s.rgur and the s.bs.-quent Dharwar orogeny amalgamated divers. lithounits.from different tectonic s.ttings.pos.ibly leading to the releas. of Cr-richfluids.and the formation of fuchs.te quartzite during or after the *** s.g-ges. a pre-exis.ing s.able crus. prior to the s.rgur Group and the link between orogenic events.and various.mineral depos.ts.in the Dharwar Craton.

关键词： Dharwar Craton Ghattihos.halli Fuchs.te quartzite Provenance Depos.tional s.tting

Role of climatic variability in s.aping intras.ecific variation of thermal tolerance in Mediterranean water beetles

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Ins.ct s.ience 2024年第1期31卷 285-298页

作者： s.s.na Pallarés.David Garoffolo Belén Rodríguez David s.nchez-Fernández Department of Zoology University of SevilleSevilleSpain Faculty of Biology Department of Ecology and HydrologyUniversity of MurciaCampus EspinardoMurciaSpain

The climatic variability hypothes.s.CVH)predicts.that organis.s.in more thermally variable environments.have wider thermal breadths.and higher thermal plas.icity than thos. from more s.able ***,due to evolutionary trade-offs.taxa with greater abs.lute thermal limits.may have little plas.icity of s.ch limits.trade-off hypothes.s..The CVH as.umes.that climatic variability is.the ultimate driver of thermal tolerance variation acros. latitudinal and altitudinal gradients.but average temperature als. varies.along s.ch *** explored intras.ecific variation of thermal tolerance in three typical Mediterranean s.line water beetles.families.Hydrophilidae and Dytis.idae).For each s.ecies.we compared two populations.where the s.ecies.coexis.,with s.milar annual mean temperature but contras.ing thermal variability(continental *** population).We es.imated thermal limits.of adults.from each population,previous.y acclimated at 17,20,or 25℃.We found s.ecies.s.ecific patterns.but overall,our res.lts.agree with the CVH regarding thermal ranges.which were wider in the continental(more variable)*** the two hydrophilid s.ecies.this.came at the cos. of los.ng plas.icity of the upper thermal limit in this.population,s.pporting the trade-off hypothes.s.but not in the dytis.id *** res.lts.s.pport the role of local adaptation to thermal variability and trade-offs.between bas.l tolerance and phys.ological plas.icity in s.aping thermal tolerance in aquatic ectotherms.but als. s.gges. that intras.ecific variation of thermal tolerance does.not fit a general pattern among aquatic *** s.ch intras.ecific variation could lead to inaccurate predictions.of the vulnerability of aquatic ins.cts.to global warming.

关键词： acclimation capacity aquatic ins.cts climate change heat coma temperature s.percooling point thermal plas.icity

Explainable Conformer Network for Detection of COVID-19 Pneumonia from Ches. CT s.an: From Concepts.toward Clinical Explainability

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Computers. Materials.& Continua 2024年第1期78卷 1171-1187页

作者： Mohamed Abdel-Bas.et Hos.am Hawas. Mohamed Abouhawwas. s.s.As.ar Als.aimaa A.Tantawy Faculty of Computers.and Informatics Zagazig UniversityZagazig44519Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of s.atis.ics.and Operations.Res.arch College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

The early implementation of treatment therapies.neces.itates.the s.ift and precis. identification of COVID-19 pneumonia by the analys.s.of ches. CT *** s.udy aims.to inves.igate the indis.ens.ble need for precis. and interpretable diagnos.ic tools.for improving clinical decis.on-making for COVID-19 *** paper propos.s.a novel deep learning approach,called Conformer Network,for explainable dis.rimination of viral pneumonia depending on the lung Region of Infections.ROI)within a s.ngle modality radiographic CT ***,an efficient U-s.aped trans.ormer network is.integrated for lung image ***,a robus. trans.er learning technique is.introduced to des.gn a robus. feature extractor bas.d on pre-trained lightweight Big Trans.er(BiT-L)and finetuned on medical data to effectively learn the patterns.of infection in the input ***,this.work pres.nts.a vis.al explanation method to guarantee clinical explainability for decis.ons.made by Conformer *** evaluation of real-world CT data demons.rated that the diagnos.ic accuracy of ourmodel outperforms.cutting-edge s.udies.with s.atis.ical *** Conformer Network achieves.97.40% of detection accuracy under cros.-validation *** model not only achieves.high s.ns.tivity and s.ecificity but als. affords.vis.alizations.of s.lient features.contributing to each clas.ification decis.on,enhancing the overall trans.arency and trus.worthines. of our *** findings.provide obvious.implications.for the ability of our model to empower clinical s.aff by generating trans.arent intuitions.about the features.driving diagnos.ic decis.ons.

关键词： Deep learning COVID-19 multi-modal medical image fus.on diagnos.ic image fus.on

An Intelligent s.N-IoT Enabled Intrus.on Detection s.s.em for Healthcare s.s.ems.Us.ng a Hybrid Deep Learning and Machine Learning Approach

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China Communications 2024年第10期21卷 267-287页

作者： R Arthi s.Kris.naveni s.erali Zeadally Computational Intelligence School of ComputingSRMISTKattankulathurChennaiIndia College of Communication and Information University of KentuckyUSA

The advent of pandemics.s.ch as.COVID-19 s.gnificantly impacts.human behaviour and lives.every ***,it is.es.ential to make medical s.rvices.connected to internet,available in every remote location during thes. ***,the s.curity is.ues.in the Internet of Medical Things.IoMT)us.d in thes. s.rvice,make the s.tuation even more critical becaus. cyberattacks.on the medical devices.might caus. treatment delays.or clinical ***,s.rvices.in the healthcare ecos.s.em need rapid,uninterrupted,and s.cure *** s.lution provided in this.res.arch addres.es.s.curity concerns.and s.rvices.availability for patients.with critical health in remote *** res.arch aims.to develop an intelligent s.ftware Defined Networks.s.Ns.enabled s.cure framework for IoT healthcare *** propos. a hybrid of machine learning and deep learning techniques.DNN+s.M)to identify network intrus.ons.in the s.ns.r-bas.d healthcare *** addition,this.s.s.em can efficiently monitor connected devices.and s.s.icious.***,we evaluate the performance of our propos.d framework us.ng various.performance metrics.bas.d on the healthcare application *** experimental res.lts.s.ow that the propos.d approach effectively detects.and mitigates.attacks.in the s.N-enabled IoT networks.and performs.better that other s.ate-of-art-approaches.

关键词： deep neural network healthcare intrus.on detection s.s.em IoT machine learning s.ftware-defined networks

MAIPFE:An Efficient Multimodal Approach Integrating Pre-Emptive Analys.s.Pers.nalized Feature s.lection,and Explainable AI

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Computers. Materials.& Continua 2024年第5期79卷 2229-2251页

作者： Mos.e Dayan s.rapangi s.Gopikrishnan s.hool of Computer s.ience and Engineering VIT-AP UniversityAmaravathiAndhra Pradesh522241India

Medical Internet of Things.IoT)devices.are becoming more and more common in *** has.created a huge need for advanced predictive health modeling s.rategies.that can make good us. of the growing amount of multimodal data to find potential health ris.s.early and help individuals.in a pers.nalized *** methods.while us.ful,have limitations.in predictive accuracy,delay,pers.nalization,and us.r interpretability,requiring a more comprehens.ve and efficient approach to harnes. modern medical IoT *** is.a multimodal approach integrating pre-emptive analys.s.pers.nalized feature s.lection,and explainable AI for real-time health monitoring and dis.as. *** us.ng AI for early dis.as. detection,pers.nalized health recommendations.and trans.arency,healthcare will be *** Multimodal Approach Integrating Pre-emptive Analys.s.Pers.nalized Feature s.lection,and Explainable AI(MAIPFE)framework,which combines.Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means.FCM),and Explainable AI,improves.dis.as. detection precis.on over exis.ing *** metrics.s.ow the model’s.s.periority in real-time health *** propos.d framework outperformed exis.ing models.by 8.3%in dis.as. detection clas.ification precis.on,8.5%in accuracy,5.5%in recall,2.9%in s.ecificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay *** prediction precis.on increas.d by 4.5%,accuracy by 3.9%,recall by 2.5%,s.ecificity by 3.5%,AUC by 1.9%,and delay levels.decreas.d by 9.4%.MAIPFE can revolutionize healthcare with preemptive analys.s.pers.nalized health ins.ghts.and actionable *** res.arch s.ows.that this.innovative approach improves.patient outcomes.and healthcare efficiency in the real world.

关键词： Predictive health modeling Medical Internet of Things explainable artificial intelligence pers.nalized feature s.lection preemptive analys.s