Search results for "P0"

showing 10 items of 34 documents

"Table 6" of "Search for heavy charged long-lived particles in the ATLAS detector in 31.6 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} = 13…

2019

p0-values and model-independent upper limits on cross-section x acceptance x efficiency for the 16 discovery regions.

13000.0P P --> CHI+ CHI-LLPCLSP P --> GLUINO GLUINOP P --> STAU+ STAU-SUSYP0SIGProton-Proton ScatteringP P --> SQUARK+ SQUARK-EFFSupersymmetryACC
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"Table 6" of "Search for heavy charged long-lived particles in the ATLAS detector in 31.6 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} = 13…

2019

p0-values and model-independent upper limits on cross-section x acceptance x efficiency for the 16 discovery regions.

13000.0P P --> CHI+ CHI-LLPCLSP P --> GLUINO GLUINOP P --> STAU+ STAU-SUSYP0SIGProton-Proton ScatteringP P --> SQUARK+ SQUARK-EFFSupersymmetryACC
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A degenerating convection-diffusion system modelling froth flotation with drainage

2022

Abstract Froth flotation is a common unit operation used in mineral processing. It serves to separate valuable mineral particles from worthless gangue particles in finely ground ores. The valuable mineral particles are hydrophobic and attach to bubbles of air injected into the pulp. This creates bubble-particle aggregates that rise to the top of the flotation column where they accumulate to a froth or foam layer that is removed through a launder for further processing. At the same time, the hydrophilic gangue particles settle and are removed continuously. The drainage of liquid due to capillarity is essential for the formation of a stable froth layer. This effect is included into a previous…

Applied MathematicsFluid Dynamics (physics.flu-dyn)FOS: MathematicsFOS: Physical sciencesMathematics - Numerical AnalysisPhysics - Fluid DynamicsNumerical Analysis (math.NA)35L65 35P05 35R05
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P08.76 Anti-EGFL7 treatment as an add-on for glioma therapy

2016

Glioblastoma multiforme (GBM) is one the most common and malignant forms of brain tumors. The median survival time of patients diagnosed with primary GBM is around 15 months. In spite of multimodal treatments GBMs remain essentially incurable. Therefore, alternative treatments targeting previously unexplored aspects of GBMs are required. However, the molecular mechanisms underlying the formation of brain tumors have only partially been defined. Especially Notch, a conserved developmental pathway, is promising in terms of GBM formation, as components of this signaling cascade are aberrantly expressed in gliomas. Studies reported that the inhibition of Notch decreased glioma cell proliferatio…

Cancer ResearchText miningOncologybusiness.industryP08 Glioblastom and Anaplastic gliomasGliomaCancer researchMedicineEGFL7Neurology (clinical)businessmedicine.diseasenervous system diseases
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cis-[Bis(diphenylphosphino)ethane-κ2P,P′]dichlororuthenium(II) dichloromethane disolvate

2006

The title compound, cis-[RuCl2(C26H24P2)2]·2CH2Cl2, was obtained as an unexpected product from our attempts to prepare new ruthenium molecular wires using organic bridging ligands. Three solvates and a solvent-free structure of the isomeric complex with the chloride anions in a trans geometry have already been reported, while the cis isomer has been described only in solution studies prior to this work.

ChemistryStereochemistrychemistry.chemical_elementGeneral Chemistry.Condensed Matter PhysicsChlorideMedicinal chemistryRutheniumchemistry.chemical_compoundFaculdade de Ciências Exatas e da EngenhariamedicineGeneral Materials ScienceCis–trans isomerismmedicine.drugDichloromethanecis-[Bis(diphenylphosphino)ethane-j2PP000]dichlororuthenium(II) dichloromethane disolvate
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cis-Diazido[bis(diphenylphosphino)methane-κ2P,P′]ruthenium(II) dichloromethane 0.42-solvate

2006

Submitted by António Freitas (amsf@uma.pt) on 2019-06-13T13:44:22Z No. of bitstreams: 1 cis-Diazidobis(diphenylphosphino)methane-j2PP000ruthenium(II) dichloromethane 0.42-solvateJoãoRodrigues.pdf: 167616 bytes, checksum: 2ba0b7a76027be3eda26ce11d43fec66 (MD5) Made available in DSpace on 2019-06-13T13:44:22Z (GMT). No. of bitstreams: 1 cis-Diazidobis(diphenylphosphino)methane-j2PP000ruthenium(II) dichloromethane 0.42-solvateJoãoRodrigues.pdf: 167616 bytes, checksum: 2ba0b7a76027be3eda26ce11d43fec66 (MD5) Previous issue date: 2006 info:eu-repo/semantics/publishedVersion

Chemistrychemistry.chemical_elementGeneral Chemistry.Condensed Matter PhysicsTriple bondMedicinal chemistrycis-Diazido[bis(diphenylphosphino)methane-j2PP000]ruthenium(II) dichloromethane 0.42-solvateMethaneRutheniumMetalchemistry.chemical_compoundFaculdade de Ciências Exatas e da Engenhariavisual_artvisual_art.visual_art_mediumOrganic chemistryGeneral Materials Science
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Bounds for the relative n-th nilpotency degree in compact groups

2009

The line of investigation of the present paper goes back to a classical work of W. H. Gustafson of the 1973, in which it is described the probability that two randomly chosen group elements commute. In the same work, he gave some bounds for this kind of probability, providing information on the group structure. We have recently obtained some generalizations of his results for finite groups. Here we improve them in the context of the compact groups.

Degree (graph theory)Group (mathematics)General MathematicsProbability (math.PR)20P05 22A05 28C10 22A20 43A05Context (language use)Group Theory (math.GR)Group structureCombinatoricsLine (geometry)FOS: MathematicsMathematics - Group TheoryMathematics - ProbabilityHaar measureMathematics
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Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines

2020

Sorted Table Search Procedures are the quintessential query-answering tool, with widespread usage that now includes also Web Applications, e.g, Search Engines (Google Chrome) and ad Bidding Systems (AppNexus). Speeding them up, at very little cost in space, is still a quite significant achievement. Here we study to what extend Machine Learning Techniques can contribute to obtain such a speed-up via a systematic experimental comparison of known efficient implementations of Sorted Table Search procedures, with different Data Layouts, and their Learned counterparts developed here. We characterize the scenarios in which those latter can be profitably used with respect to the former, accounting …

FOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Machine Learning (stat.ML)E.1; I.2.068T07 68P05 62J05 68P10E.1I.2.0Machine Learning (cs.LG)
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Binary jumbled string matching for highly run-length compressible texts

2012

The Binary Jumbled String Matching problem is defined as: Given a string $s$ over $\{a,b\}$ of length $n$ and a query $(x,y)$, with $x,y$ non-negative integers, decide whether $s$ has a substring $t$ with exactly $x$ $a$'s and $y$ $b$'s. Previous solutions created an index of size O(n) in a pre-processing step, which was then used to answer queries in constant time. The fastest algorithms for construction of this index have running time $O(n^2/\log n)$ [Burcsi et al., FUN 2010; Moosa and Rahman, IPL 2010], or $O(n^2/\log^2 n)$ in the word-RAM model [Moosa and Rahman, JDA 2012]. We propose an index constructed directly from the run-length encoding of $s$. The construction time of our index i…

FOS: Computer and information sciencesString algorithmsStructure (category theory)Binary numberG.2.1Data_CODINGANDINFORMATIONTHEORY0102 computer and information sciences02 engineering and technologyString searching algorithm01 natural sciencesComputer Science - Information RetrievalTheoretical Computer ScienceCombinatoricsdata structuresSimple (abstract algebra)Computer Science - Data Structures and AlgorithmsString algorithms; jumbled pattern matching; prefix normal form; data structures0202 electrical engineering electronic engineering information engineeringParikh vectorData Structures and Algorithms (cs.DS)Run-length encodingMathematics68W32 68P05 68P20String (computer science)prefix normal formSubstringComputer Science Applicationsjumbled pattern matching010201 computation theory & mathematicsData structureSignal ProcessingRun-length encoding020201 artificial intelligence & image processingConstant (mathematics)Information Retrieval (cs.IR)Information SystemsInformation Processing Letters
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Agroecological engineering

2015

Earth has recently entered the new era of the Anthropocene, during which the rise of human activities are impacting for the first time ecosystems and climate on the global scale. Since the 1960s the green revolution has improved food production in quantity using industrially-designed agriculture, which has led to global pollution by pesticides and losses of food quality, biodiversity and soil carbon. As a consequence there is a need to implement agroecological practices in order to produce food safely and in a sustainable way. This virtual issue presents principles and applications of agroecological engineering, exemplified in 19 selected review articles from the journal Agronomy for Sustai…

H01 - Protection des végétaux - Considérations généralesF08 - Systèmes et modes de culture[SDV]Life Sciences [q-bio]agroécologiehttp://aims.fao.org/aos/agrovoc/c_199Développement agricolebiodiversitéProtection des plantesE14 - Économie et politique du développementhttp://aims.fao.org/aos/agrovoc/c_35332Agriculture durableGENIE VEGETALhttp://aims.fao.org/aos/agrovoc/c_36669food productioningénierie agro-écologiqueComputingMilieux_MISCELLANEOUSAgroforestrySystème de productionimpact climatiqueAgricultural scienceshttp://aims.fao.org/aos/agrovoc/c_92381[SDV] Life Sciences [q-bio]Geographyhttp://aims.fao.org/aos/agrovoc/c_6523Agroécosystèmeimpact environnementalrévolution verteP01 - Conservation de la nature et ressources foncièresINGENIERIE ECOLOGIQUEModèleEnvironmental EngineeringMéthodologieÉcologieproduction alimentaireenvironmental impactConservation des ressourcesAgroecologymodélisationIntensification[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologypollution agricole[ SDV ] Life Sciences [q-bio]A01 - Agriculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_a175b273human activityhttp://aims.fao.org/aos/agrovoc/c_1348040570280services écosystémiqueshttp://aims.fao.org/aos/agrovoc/c_4881activité humaineDéveloppement durablehttp://aims.fao.org/aos/agrovoc/c_33561http://aims.fao.org/aos/agrovoc/c_33485impact sur l' écosystèmequalité alimentairehttp://aims.fao.org/aos/agrovoc/c_5978Système de culturehttp://aims.fao.org/aos/agrovoc/c_1971[SDE.BE]Environmental Sciences/Biodiversity and Ecologyhttp://aims.fao.org/aos/agrovoc/c_2467http://aims.fao.org/aos/agrovoc/c_12522Agronomy and Crop ScienceSciences agricoles
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