Search results for "Average"

showing 10 items of 238 documents

Profiling Suspensions in Natural Water by a Simplified Dynamic Light Scattering Procedure and Sedimentation

2015

Abstract A coherent light scattering experiment was carried out. The samples were aqueous natural water suspensions picked from the same river. While sedimentation occurred in the samples, they were subjected to a dynamic light scattering (DLS) experiment and the time series was recorded at certain time intervals. For each recording, a program written for this purpose, performing at least square minimisation, computed the average diameter of the particles in suspension. The variation of the average diameter in time indicates the dominant type of suspensions in water.

0106 biological sciencesMaterials scienceAqueous solutionEcologyAverage diameterScattering010604 marine biology & hydrobiologyNatural waterMineralogy010501 environmental sciences01 natural sciencescoherent light scatteringDynamic light scatteringsuspensionsnatural waterdynamic light scattering (dls)QH540-549.50105 earth and related environmental sciencesTransylvanian Review of Systematical and Ecological Research
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OMICfpp: a fuzzy approach for paired RNA-Seq counts

2019

© The Author(s) 2019.

0106 biological scienceslcsh:QH426-470Pipeline (computing)lcsh:BiotechnologyRNA-SeqBinomial testSample (statistics)Biologyoncología médicaMedical Oncology01 natural sciencesFuzzy logicSet (abstract data type)03 medical and health sciencesUser-Computer InterfaceSoftwarelcsh:TP248.13-248.65GeneticsHumansCàncer030304 developmental biologyOrdered weight average0303 health sciencesbusiness.industrySequence Analysis RNAMethodology ArticleHigh-Throughput Nucleotide SequencingPattern recognitionColorectal cancerlcsh:Genetics3201.01 OncologíatranscriptomaRandomization distributionRNAArtificial intelligenceDNA microarraybusinessColorectal NeoplasmsTranscriptome010606 plant biology & botanyBiotechnology
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Network-Wide Adaptive Burst Detection Depicts Neuronal Activity with Improved Accuracy

2017

Neuronal networks are often characterized by their spiking and bursting statistics. Previously, we introducedan adaptive burst analysis methodwhich enhances the analysis power for neuronal networks with highly varying firing dynamics. The adaptation is based on single channels analyzing each element of a network separately. Such kind of analysis was adequate for the assessment of local behavior, where the analysis focuses on the neuronal activity in the vicinity of a single electrode. However, the assessment of the whole network may be hampered, if parts of the network are analyzed using different rules. Here, we test how using multiple channels and measurement time points affect adaptive b…

0301 basic medicineComputer scienceNeuroscience (miscellaneous)Interval (mathematics)Machine learningcomputer.software_genreta3112lcsh:RC321-57103 medical and health sciencesCellular and Molecular NeuroscienceBursting0302 clinical medicineMoving averageHistogramMethodsCluster analysislcsh:Neurosciences. Biological psychiatry. Neuropsychiatryta113network classificationbusiness.industryEmphasis (telecommunications)Pattern recognition217 Medical engineeringlaskennallinen neurotiede113 Computer and information sciencesPower (physics)030104 developmental biologymicroelectrode arraysburst detectionburst synchronySpike (software development)Artificial intelligenceneuronal networksbusinesscomputer030217 neurology & neurosurgeryNeurosciencecomputational neuroscienceFrontiers in Computational Neuroscience
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The colored longest common prefix array computed via sequential scans

2018

Due to the increased availability of large datasets of biological sequences, the tools for sequence comparison are now relying on efficient alignment-free approaches to a greater extent. Most of the alignment-free approaches require the computation of statistics of the sequences in the dataset. Such computations become impractical in internal memory when very large collections of long sequences are considered. In this paper, we present a new conceptual data structure, the colored longest common prefix array (cLCP), that allows to efficiently tackle several problems with an alignment-free approach. In fact, we show that such a data structure can be computed via sequential scans in semi-exter…

0301 basic medicineFOS: Computer and information sciencesAlignment-free methodsBurrows–Wheeler transformComputer scienceComputationAverage common substring0206 medical engineeringMatching statisticsScale (descriptive set theory)02 engineering and technologyTheoretical Computer Science03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Burrows-wheeler transformString (computer science)Computer Science (all)LCP arrayMatching statisticData structureSubstring030104 developmental biologyAlignment-free methods; Average common substring; Burrows-wheeler transform; Longest common prefix; Matching statistics; Theoretical Computer Science; Computer Science (all)Pairwise comparisonLongest common prefixAlgorithm020602 bioinformaticsAlignment-free method
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MicroRNA Intercellular Transfer and Bioelectrical Regulation of Model Multicellular Ensembles by the Gap Junction Connectivity.

2017

We have studied theoretically the microRNA (miRNA) intercellular transfer through voltage-gated gap junctions in terms of a biophysically grounded system of coupled differential equations. Instead of modeling a specific system, we use a general approach describing the interplay between the genetic mechanisms and the single-cell electric potentials. The dynamics of the multicellular ensemble are simulated under different conditions including spatially inhomogeneous transcription rates and local intercellular transfer of miRNAs. These processes result in spatiotemporal changes of miRNA, mRNA, and ion channel protein concentrations that eventually modify the bioelectrical states of small multi…

0301 basic medicinePhysicsModels MolecularCell signalingQuantitative Biology::Molecular NetworksEnsemble averageGap junctionIon Channel ProteinGap JunctionsNanotechnologyTransfectionQuantitative Biology::GenomicsQuantitative Biology::Cell BehaviorSurfaces Coatings and FilmsCoupled differential equations03 medical and health sciencesMulticellular organismMicroRNAs030104 developmental biologymicroRNAMaterials ChemistryBiophysicsPhysical and Theoretical ChemistryIntracellularThe journal of physical chemistry. B
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Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes

2018

Advancement of DNA sequencing technology allows the routine use of genome sequences in the various fields of microbiology. The information held in genome sequences proved to provide objective and reliable means in the taxonomy of prokaryotes. Here, we describe the minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes.

0301 basic medicineWhole genome sequencing030106 microbiologyPhylogenomicsGeneral MedicineComputational biologyGenomicsSequence Analysis DNAMinimal standardsAverage nucleotide identityBiologyMicrobiologyGenomeDNA sequencing03 medical and health sciencesProkaryotic CellsPhylogenomicsTerminology as TopicGenome sequenceTaxonomy (biology)Prokaryotic taxonomyEcology Evolution Behavior and SystematicsPhylogeny
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Assessing Command-Following and Communication With Vibro-Tactile P300 Brain-Computer Interface Tools in Patients With Unresponsive Wakefulness Syndro…

2018

Persons diagnosed with disorders of consciousness (DOC) typically suffer from motor disablities, and thus assessing their spared cognitive abilities can be difficult. Recent research from several groups has shown that non-invasive brain-computer interface (BCI) technology can provide assessments of these patients' cognitive function that can supplement information provided through conventional behavioral assessment methods. In rare cases, BCIs may provide a binary communication mechanism. Here, we present results from a vibrotactile BCI assessment aiming at detecting command-following and communication in 12 unresponsive wakefulness syndrome (UWS) patients. Two different paradigms were admi…

0301 basic medicinemedicine.medical_specialtyevoked potentialsStimulus (physiology)WristElectroencephalographybrain computer interfacevegetative statelcsh:RC321-57103 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationmedicinevibro-tactile P300In patientlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal ResearchBrain–computer interfaceunresponsive wakefulness syndromeevoked potentialmedicine.diagnostic_testbusiness.industrycommunicationGeneral NeuroscienceGrand averageCognition030104 developmental biologymedicine.anatomical_structureWakefulnessbusiness030217 neurology & neurosurgeryNeuroscienceFrontiers in Neuroscience
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"Average P_H" of "Global polarization of $\Lambda$ and $\overline{\Lambda}$ hyperons in Pb-Pb collisions at the LHC"

2021

The average $(\Lambda+\bar\Lambda) \times (2.76+5.02)$ global polarization in Pb-Pb collisions for centrality 15-50%.

5020.0Pb Pb --> LAMBDA ANTI-LAMBDA XP_Haverage global hyperon polarization2076.0+5020.02076.0
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Distributed channel prediction for multi-agent systems

2017

Los sistemas multiagente (MAS) se comunican a través de una red inalámbrica para coordinar sus acciones e informar sobre el estado de su misión. La conectividad y el rendimiento del sistema pueden mejorarse mediante la predicción de la ganancia del canal. Presentamos un esquema basado en regresión de procesos gaussianos (GPR) distribuidos para predecir el canal inalámbrico en términos de la potencia recibida en el MAS. El esquema combina una máquina de comité bayesiano con un esquema de consenso medio, distribuyendo así no sólo la memoria sino también la carga computacional y de comunicación. A través de simulaciones de Monte Carlo, demostramos el rendimiento del GPR propuesto. RACHEL TEC20…

:CIENCIAS TECNOLÓGICAS [UNESCO]Wireless networkComputer sciencebusiness.industryDistributed computingMulti-agent systemMonte Carlo method020206 networking & telecommunicationsBayesian committee machine02 engineering and technologyUNESCO::CIENCIAS TECNOLÓGICASKriging0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingmulti-agent systemsbusinessgaussian process regressionSimulationCommunication channelaverage consensus scheme
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PENERAPAN METODE SINGLE MOVING AVERAGE DAN EXSPONENTIAL SMOOTHING PADA USAHA ASRIE MODESTA

2020

This study  aims to (1) analyze the number of demands for batik products in the second period of 2018. (2) To analyze the most appropriate forecasting method. (3) To analyze the forecasting of the first period in 2019 using the selected forecasting method.
 This reseach uses primary data and secondary data with data collection techniques using interviews, observation, and documentation. The analysis used is Single Moving Averages and Exsponential Smoothing. 
 The results of research in forecasting demand for batik products in 2019 with the Single Moving Average method are 3,936 units with Mean Absolute Deviation (MAD) of 632.5 units and Mean Square Error (MSE) of 693,718 units. An…

Absolute deviationData collectionPolymers and PlasticsMean squared errorMoving averageAlpha ValueStatisticsWord error rateBusiness and International ManagementDemand forecastingIndustrial and Manufacturing EngineeringSmoothingMathematicsCakrawala Management Business Journal
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