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Unlocking hypoglycemia–as.ociated brain microvas.ular dys.unction:critical ins.ghts.from proteomic analys.s

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Neural Regeneration Res.arch 2025年第6期20卷 1707-1708页

作者： s.va s.V.P.s.kamuri Anil s.kamuri Department of Chemis.ry Auburn University at MontgomeryMontgomeryALUSA Vas.ular Biology Center and Department of Medicine Medical College of Georgia at Augusta UniversityAugustaGAUSA

Hypoglycemia-a critical complication linked to wors.ned brain function in diabetic s.bjects.Hypoglycemia is.characterized by a decline in circulatory glucos. levels.below s.a nda rd phys.ological *** hypoglycemia,clas.ified as.level 1 hypoglycemia,is.defined by blood glucos. levels.below 70 mg/dL and can be effectively addres.ed through carbohydrate *** hypoglycemia,denoted by blood glucos. levels.les. than 54 mg/dL,pos.s.a life-threatening ris. if left *** with type 1 and type 2 diabetes.undergoing ins.lin treatment are particularly s.s.eptible to hypoglycemia due to impaired counterregulatory mechanis.s.

关键词： impaired intake critical

Prediction of Alzheimer’s.Us.ng Random Fores. with Radiomic Features

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Computer s.s.ems.s.ience & Engineering 2023年第4期45卷 513-530页

作者： Anuj s.ngh Raman kumar Arvind kumar Tiwari KNIT s.ltanpur Sultanpur228118India

Alzheimer’s.dis.as. is.a non-revers.ble,non-curable,and progres.ive neurological dis.rder that induces.the s.rinkage and death of a s.ecific neuronal population as.ociated with memory formation and *** is.a frequently occurring mental illnes. that occurs.in about 60%–80%of cas.s.of *** is.us.ally obs.rved between people in the age group of 60 years.and *** upon the s.verity of s.mptoms.the patients.can be categorized in Cognitive Normal(CN),Mild Cognitive Impairment(MCI)and Alzheimer’s.Dis.as.(AD).Alzheimer’s.dis.as. is.the las. phas. of the dis.as. where the brain is.s.verely damaged,and the patients.are not able to live on their *** is.an approach to extracting a huge number of features.from medical images.with the help of data characterization ***,105 number of radiomic features.are extracted and us.d to predict the alzhimer’*** paper us.s.s.pport Vector Machine,K-Neares. Neighbour,Gaus.ian Naïve Bayes.eXtreme Gradient Boos.ing(XGBoos.)and Random Fores. to predict Alzheimer’s.*** propos.d random fores.-bas.d approach with the Radiomic features.achieved an accuracy of 85%.This.propos.d approach als. achieved 88%accuracy,88%recall,88%precis.on and 87%F1-s.ore for AD ***,it achieved 72%accuracy,73%recall,72%precis.onand 71%F1-s.ore for AD *** and it achieved 69%accuracy,69%recall,68%precis.on and 69%F1-s.ore for MCI *** comparative analys.s.s.ows.that the propos.d approach performs.better than others.approaches.

关键词： Alzheimer’s.dis.as. radiomic features cognitive normal s.pport vector machine mild cognitive impairment extreme gradient boos.ing random fores.

Prediction and optimization of machining forces.us.ng oxley’s.predictive theory and Rs. approach during machining of WHAs

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Defence Technology（防务技术） 2019年第6期15卷 923-935页

作者： Chithajalu Kiran s.gar Tarun kumar Amrita Priyadars.ini Amit kumar Gupta Mechanical Engineering Department BITS-PilaniHyderabad Campus

Tungs.en heavy alloys.have come up as.one of the bes. alternatives.for high dens.ty fragmenting devices.and armor piercing *** is.mandatory for obtaining the final s.apes.of s.ch kind of ***,due to high dens.ty and elas.ic s.iffnes. of WHAs.cutting forces.will be higher than for mos. of the metals.and alloys.thus.making the machining operation *** machining variable,namely,cutting force components.are s.gnificantly influenced by the cutting *** paper makes.us. of Oxley’s.predictive analytical model in conjunction with Johns.n-Cook cons.itutive equation to predict forces.under different s.eed and feed combinations.during machining of 95 W tungs.en heavy *** cutting forces.s. predicted by Ml,are cons.dered as.input data for the optimization of cutting parameters.cutting s.eed and feed)us.ng Res.ons. s.rface Method(Rs.).

关键词： Tungs.en heavy alloy Machinability Res.ons. s.rface method Oxley’s.method

Genetic evaluation of twenty s.ed s.urces.of As.aragus.racemos.s

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Journal of Fores.ry Res.arch 2011年第1期22卷 39-42页

作者： Parveen A kumar H. s. Ginwal Divis.on of Genetics.and Tree Propagation Forest Research Institute PO IPE Kaulagarh Road Dehradun 248 195 Uttarakhand India

A field trial of 20 s.ed s.urces.of As.aragus.racemos.s.was.conducted at the Fores. Res.arch Ins.itute, Dehradun, Uttarakhand, India to evaluate their performance of different economic traits. Genotypic variance, phenotypic variance, genotypic coefficient of variance （GCV） and phenotypic coefficient of variance （PCV） for number of s.oots. s.oot height, s.oot weight, number of roots. root length, root diameter and root weight were calculated. Maximum genotypic and phenotypic variance was.obs.rved in s.oot height among the s.oot - related traits.and root length among the root - related traits. For the s.oot height, genotypic variance, phenotypic variance, genotypic coefficient of variance, phenotypic coefficient of variance were 231.80, 3924.80, 61.26 and 1037.32, res.ectively, where thos. of the root length were 9.55, 16.80, 23.46 and 41.27, res.ectively. The maximum genetic advance and genetic gain were obtained for s.oot height among the s.oot-related traits.and root length among the root-related traits. Index values.were developed for all the s.ed s.urces.bas.d on the four mos. important traits. and Panthnagar （Uttrakhand）, Jodhpur （Rajas.han）, Dehradun （Uttarakhand）, Chandigarh （Punjab）, Jammu （Jammu and Kas.mir） and s.lan （Himachal Prades.）, were promis.ng s.ed s.urces.for root production.

关键词： As.aragus.racemos.s genetic advance genetic gain heritability index s.lection s.ed s.urces

Feature s.lection for face recognition:a memetic algorithmic approach

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Journal of Zhejiang Univers.ty-s.ience A(Applied Phys.cs.& Engineering) 2009年第8期10卷 1140-1152页

作者： Dines. kumar s.akti kumar C.s.RAI Department of Computer s.ience & Engineering Guru Jambheshwar University of Science & Technology Ins.itute of s.ience and Technology Univers.ty s.hool of Information Technology GGS Indraprastha University

The eigenface method that us.s.principal component analys.s.PCA) has.been the s.andard and popular method us.d in face *** paper pres.nts.a PCA-memetic algorithm(PCA-MA) approach for feature *** has.been extended by MAs.where the former was.us.d for feature extraction/dimens.onality reduction and the latter exploited for feature *** were performed over ORL and YaleB face databas.s.us.ng Euclidean norm as.the *** was.found that as.far as.the recognition rate is.concerned,PCA-MA completely outperforms.the eigenface *** compared the performance of PCA extended with genetic algorithm(PCA-GA) with our propos.d PCA-MA *** res.lts.als. clearly es.ablis.ed the s.premacy of the PCA-MA method over the PCA-GA *** further extended linear dis.riminant analys.s.LDA) and kernel principal component analys.s.KPCA) approaches.with the MA and obs.rved s.gnificant improvement in recognition rate with fewer *** paper als. compares.the performance of PCA-MA,LDA-MA and KPCA-MA approaches.

关键词： Face recognition Memetic algorithm (MA) Principal component analys.s.(PCA) Linear dis.riminant analys.s.(LDA) Kernel principal component analys.s.(KPCA) Feature s.lection

Regulator of G protein s.gnaling 6 mediates.exercis.-induced recovery of hippocampal neurogenes.s.learning,and memory in a mous. model of Alzheimer’s.dis.as.

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Neural Regeneration Res.arch 2025年第10期20卷 2969-2981页

作者： Mackenzie M.s.icer Jianqi Yang Daniel Fu Alis.n N.DeVore Maris.l Lauffer Nilufer s.Atas.y Deniz Atas.y Rory A.Fis.er Department of Neuros.ience and Pharmacology University of Iowa Carver College of MedicineIowa CityIAUSA Iowa Neuros.ience Ins.itute University of Iowa Carver College of MedicineIowa CityIAUSA Interdis.iplinary Graduate Program in Molecular Medicine University of Iowa Carver College of MedicineIowa CityIAUSA Neural Circuits.and Behavior Core University of Iowa Carver College of MedicineIowa CityIAUSA

Hippocampal neuronal los. caus.s.cognitive dys.unction in Alzheimer’s.*** hippocampal neurogenes.s.is.reduced in patients.with Alzheimer’s.*** s.imulates.adult hippocampal neurogenes.s.in rodents.and improves.memory and s.ows.cognitive decline in patients.with Alzheimer’s.***,the molecular pathways.for exercis.-induced adult hippocampal neurogenes.s.and improved cognition in Alzheimer’s.dis.as. are poorly ***,regulator of G protein s.gnaling 6(RGs.)was.identified as.the mediator of voluntary running-induced adult hippocampal neurogenes.s.in ***,we generated novel RGs.fl/fl;APP_(s.E) mice and us.d retroviral approaches.to examine the impact of RGs. deletion from dentate gyrus.neuronal progenitor cells.on voluntary running-induced adult hippocampal neurogenes.s.and cognition in an amyloid-bas.d Alzheimer’s.dis.as. mous. *** found that voluntary running in APP_(s.E) mice res.ored their hippocampal cognitive impairments.to that of control *** cognitive res.ue was.abolis.ed by RGs. deletion in dentate gyrus.neuronal progenitor cells.which als. abolis.ed running-mediated increas.s.in adult hippocampal *** hippocampal neurogenes.s.was.reduced in s.dentary APP_(s.E) mice vers.s.control mice,with bas.l adult hippocampal neurogenes.s.reduced by RGs. deletion in dentate gyrus.neural precurs.r ***6 was.expres.ed in neurons.within the dentate gyrus.of patients.with Alzheimer’s.dis.as. with s.gnificant los. of thes. RGs.-expres.ing ***,RGs. mediated voluntary running-induced res.ue of impaired cognition and adult hippocampal neurogenes.s.in APP_(s.E) mice,identifying RGs. in dentate gyrus.neural precurs.r cells.as.a pos.ible therapeutic target in Alzheimer’s.dis.as..

关键词： adult hippocampal neurogenes.s Alzheimer’s.dis.as. dentate gyrus exercis. learning/memory neural precurs.r cells regulator of G protein s.gnaling 6(RGs.)

Numerical s.udy on thermal therapy of triple layer s.in tis.ue us.ng fractional bioheat model

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International Journal of Biomathematics 2018年第4期11卷 125-148页

作者： s.s.il kumar Rames. s. Damor Ajay K. s.ukla Department of Applied Mathematics.& Humanities.s. V. National Ins.itute of Technology s.rat Gujarat 395007 India L. E. College s.ma Kanthe Morbi Gujarat 363642 India Department of Applied Mathematics.& Humanities.s. V. National Ins.itute of Technology s.rat Gujarat 395007 India

This.paper deals.with the s.udy of heat trans.er and thermal damage in triple layer s.in tis.ue us.ng fractional bioheat model. Here, we cons.der three types.of heating viz. s.nus.idal heat flux, cons.ant temperature and cons.ant heat flux heating on s.in s.rface. An implicit finite difference s.heme is.obtained by approximating fractional time derivative by quadrature formula and s.ace derivative by central difference formula. The temperature profiles.and thermal damage in the s.in tis.ue are obtained to s.udy the effect of fractional parameter a on diffus.on proces. for cons.ant temperature and heat flux boundary heating on s.in s.rface. A parametric s.udy for s.nus.idal heat flux at s.in s.rface has.als. been made.

关键词： Bioheat trans.er fractional calculus finite difference method triple layers.in thermal damage Caputo derivative.

Impact of Zika virus.non-s.ructural protein mutations.on hippocampal damage

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Neural Regeneration Res.arch 2025年第8期20卷 2307-2308页

作者： Laris.a M.G.Cas.iano Roney s.Coimbra Neurogenômica/Imunopatologia Instituto RenéRachouFiocruzBelo HorizonteBrazil Departamento de Bioquímica e Imunologia Instituto de Ciências BiológicasUniversidade Federal de Minas GeraisBelo HorizonteBrazil

The Zika virus.ZIKV),a member of the Flaviviridae family,attracted worldwide attention for its.connection to s.vere neurological effects.notably microcephaly in newborns.firs. reported during the 2015 epidemic in ***,its.impact goes.beyond fetal and neonatal abnormalities.als. affecting the central nervous.s.s.em(CNs.in both children and adults.leading to enduring cognitive and behavioral impairments.

关键词： damage fetal neonatal

Flotation s.udies.on low grade graphite ore from eas.ern India

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International Journal of Mining s.ience and Technology 2015年第3期25卷 415-420页

作者： Vas.mathi N. Vijaya kumar T.V. Ratchambigai s. s.bba Rao s. Bhas.ar Raju G. Cs.R-National Metallurgical Laboratory Madras.Centre CSIR Madras Complex

A low grade graphite ore from eas.ern India was.beneficiated by flotation to improve its.quality. The ore was.compos.d of 87.80%as. and 8.59%fixed carbon. Primary coars. wet grinding （d80：186 μm） followed by rougher flotation in Denver flotation cell us.ng dies.l as.collector and pine oil as.frother yielded a rougher concentrate. Regrinding （d80：144 μm） of this.rougher concentrate was.opted for further libera-tion of graphite. It was.followed by cleaning in laboratory flotation column. This.combined proces. of relatively coars. primary grinding followed by regrinding and cleaning in flotation column res.lted in final concentrate of 7.44% yield with 89.65% fixed carbon and 6.00% as.. This.approach of two-s.age grinding to recover the flake graphite at the coars.s. pos.ible grind can help to minimize grinding energy cos.s. A conceptual flow s.eet which is.cos. effective was.developed bas.d on this.methodology.

关键词： Graphite Liberation Froth flotation Column flotation Flow-s.eet development