Search results for "TPR"

showing 10 items of 911 documents

Growth phase-dependent regulation of nuoA-N expression in Escherichia coli K-12 by the Fis protein: upstream binding sites and bioenergetic significa…

2000

The expression of the nuoA-N operon of Escherichia coli K-12, which encodes the proton-pumping NADH dehydrogenase I is modulated by growth phase-dependent regulation. Under respiratory growth conditions, expression was stimulated in early exponential, and to a lesser extent in late exponential and stationary growth phases. The stimulation in the early exponential growth phase was not observed in fis mutants, which are deficient for the growth phase-responsive regulator Fis. Neither the alternative sigma factor RpoS nor the integration host factor (IHF) are involved in growth phase-dependent regulation of this operon. When incubated with nuo promoter DNA, isolated Fis protein formed three re…

DNA BacterialIntegration Host FactorsOperonMutantMolecular Sequence DataBiologymedicine.disease_causeExponential growthBacterial ProteinsFactor For Inversion Stimulation ProteinOperonGeneticsmedicineEscherichia coliBinding sitePromoter Regions GeneticMolecular BiologyEscherichia coliBinding SitesBase SequenceEscherichia coli ProteinsDNase-I FootprintingPromoterMolecular biologyCarrier ProteinsrpoSMoleculargeneral genetics : MGG
researchProduct

Requirement of the Lactobacillus casei MaeKR two-component system for L-malic acid utilization via a malic enzyme pathway.

2009

ABSTRACTLactobacillus caseican metabolizel-malic acid via malolactic enzyme (malolactic fermentation [MLF]) or malic enzyme (ME). Whereas utilization ofl-malic acid via MLF does not support growth, the ME pathway enablesL. caseito grow onl-malic acid. In this work, we have identified in the genomes ofL. caseistrains BL23 and ATCC 334 a cluster consisting of two diverging operons,maePEandmaeKR, encoding a putative malate transporter (maeP), an ME (maeE), and a two-component (TC) system belonging to the citrate family (maeKandmaeR). Homologous clusters were identified inEnterococcus faecalis,Streptococcus agalactiae,Streptococcus pyogenes, andStreptococcus uberis. Our results show that ME is …

DNA BacterialLactobacillus caseiHistidine KinaseMalic enzymeCatabolite repressionDNA FootprintingMalatesGenetics and Molecular Biologymedicine.disease_causeApplied Microbiology and Biotechnologychemistry.chemical_compoundBacterial ProteinsOperonmedicineEnterococcus faecalisDirect repeatPromoter Regions Geneticchemistry.chemical_classificationEcologybiologySequence Homology Amino AcidGene Expression Profilingfungifood and beveragesStreptococcusGene Expression Regulation Bacterialbiology.organism_classificationMolecular biologyAmino acidResponse regulatorLacticaseibacillus caseichemistryBiochemistryMultigene FamilyStreptococcus pyogenesMalic acidProtein KinasesMetabolic Networks and PathwaysFood ScienceBiotechnologyProtein BindingSignal TransductionTranscription FactorsApplied and environmental microbiology
researchProduct

5-6 GADUS VECU BĒRNU STĀSTĪTPRASMES ATTĪSTĪBAS SEKMĒŠANA

2017

Darba autore: Jekaterina Urecka 5-6 GADUS VECU BĒRNU STĀSTĪTPRASMES ATTĪSTĪBAS SEKMĒŠANA Zinātniskā vadītāja: Dr. paed., Mg. psych. Agrita Tauriņa. Darba apjoms: 52 lpp., 32 literatūras avots; 4 tabulas, 27 attēli, 2 pielikumi. Darbs veltīts bērna stāstīt prasmes attīstības sekmēšanai. Darbs sastāv no divām daļām: 1.5-6 gadīgo bērnu stāstītprasmes attīstība. 2.Vecākā pirmsskolas vecuma bērnu stāstītprasmes attīstības izpēte. Pētījuma mērķis: noskaidrot stāstītprasmes attīstības iespējas. Pētījuma metodes: Novērojumi; Pārrunas; Eksperiments; Matemātiskās statistikas metode. Darba procesā tiek skaidrots, ka, izmantojot autora piedāvāto metodiku, tiek attīstīta bērnu stāstītprasme, sniegti kon…

Darbs veltīts bērna stāstīt prasmes attīstības sekmēšanai.Pirmsskolas pedagoģija Novērojumi;  Pārrunas;  Eksperiments;  Matemātiskās statistikas metode. [Pētījuma metodes]noskaidrot stāstītprasmes attīstības iespējas.5-6 GADUS VECU BĒRNU STĀSTĪTPRASMES ATTĪSTĪBAS SEKMĒŠANA
researchProduct

Synthetic environmental appraisal of waste management system: an application to the Sicilian region

2004

This paper addresses the problem of synthetically evaluating the environmental performances of urban solid waste systems. This, in fact, represents a crucial point in the management process of complex systems that local administrations are called to cope with, in order to provide decisions about policy options that involve different issues characterising the quality of life of people. Suitable methods of evaluation are clearly required for this aim. This work introduces the dashboard of sustainability and the ecological footprint approaches as aggregate indicators of the performances of solid waste management systems. The methods have been selected due to their intrinsic simplicities, provi…

Dashboard of sustainabilityMunicipal solid wasteEcological footprintEnvironmental sustainability
researchProduct

Additional file 5 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study

2021

Additional file 5: Supplementary file 5 Authors’ information.pdf

Data_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSING
researchProduct

Additional file 1 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study

2021

Additional file 1: Supplementary file 1 In-depth interviews guide.pdf

Data_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSING
researchProduct

Additional file 2 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study

2021

Additional file 2: Supplementary file 2 Focused Group Discussions (FGD) guide.pdf

Data_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSING
researchProduct

Storm

2003

We present Storm, a storage system which unifies the desktop and the public network, making Web links between desktop documents more practical. Storm assigns each document a permanent unique URI when it is created. Using peer-to-peer technology, we can locate documents even though our URIs do not include location information. Links continue to work unchanged when documents are emailed or published on the network. We have extended KDE to understand Storm URIs. Other systems such as GNU Emacs are able to use Storm through an HTTP gateway.

DatabaseComputer sciencebusiness.industryComputerApplications_COMPUTERSINOTHERSYSTEMSStormGateway (computer program)Peer-to-peercomputer.software_genrePublic networkWorld Wide WebComputer data storageComputingMethodologies_DOCUMENTANDTEXTPROCESSINGbusinesscomputerProceedings of the fourteenth ACM conference on Hypertext and hypermedia
researchProduct

A sentence based system for measuring syntax complexity using a recurrent deep neural network

2018

In this paper we present a deep neural network model capable of inducing the rules that identify the syntax complexity of an Italian sentence. Our system, beyond the ability of choosing if a sentence needs of simplification, gives a score that represent the confidence of the model during the process of decision making which could be representative of the sentence complexity. Experiments have been carried out on one public corpus created specifically for the problem of text-simplification.

Deep Neural NetworksComputer Science (all)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGText simplificationDeep neural networkNatural Language Processing
researchProduct

A recurrent deep neural network model to measure sentence complexity for the Italian Language

2019

Text simplification (TS) is a natural language processing task devoted to the modification of a text in such a way that the grammar and structure of the phrases is greatly simplified, preserving the underlying meaning and information contents. In this paper we give a contribution to the TS field presenting a deep neural network model able to detect the complexity of italian sentences. In particular, the system gives a score to an input text that identifies the confidence level during the decision making process and that could be interpreted as a measure of the sentence complexity. Experiments have been carried out on one public corpus of Italian texts created specifically for the task of TS…

Deep Neural NetworksText Simplification Natural Language Processing Deep Neural NetworksSettore INF/01 - InformaticaComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAutomatic Text Complexity EvaluationNLP
researchProduct