Search results for "TIP"

showing 10 items of 6351 documents

Stipa ×fallax (Poaceae: Pooideae: Stipeae), a new natural hybrid from Tajikistan, and a new combination in Stipa drobovii

2017

Stipa ×fallax nothosp. nov . (Poaceae), from western Pamir Alai Mts (Tajikistan), is described and illustrated. Field observation, numerical analyses of morphology, and pollen grain viability data show that it originated from hybridization between S. drobovii and S. macroglossa subsp. macroglossa , species representing sections Smirnovia and Stipa , respectively. Stipa ×fallax is morphologically close to S. ×alaica and S. ×hissarica , but is distinguished by its shortly pilose lower part of the awn and densely pubescent leaves. Characters distinguishing S. ×fallax from its parental species as well as similar hybrid taxa in section Smirnovia that also grow in Central Asia are presented. The …

0106 biological sciencesnumerical analysisnew combinationCentral asiaMonocotsPlant Sciencemicromorphologymedicine.disease_cause010603 evolutionary biology01 natural sciencestaxonomyPollenmorphologyBotanymedicinePoaceaeEcology Evolution Behavior and SystematicsTaxonomybiologypollen viabilitybiology.organism_classificationPooideaeStipeaeTaxonTaxonomy (biology)Stipa010606 plant biology & botanyPhytotaxa
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Managing conservation values of protected sites: How to maintain deciduous trees in white-backed woodpecker territories

2020

Successional and other temporal habitat changes may also affect conservation areas and reduce their conservation value. Active management to promote vulnerable habitat features may be an effective, but controversial, solution. Old deciduous trees and deciduous dead wood in boreal forest reserves are examples of habitat features that may be lost during succession, yet several threatened species, including the white-backed woodpecker (Dendrocopos leucotos), are dependent on them. Encroaching spruce have been removed from white-backed woodpecker territories to promote the regeneration of deciduous trees and to preserve habitat quality, although the efficiency of this treatment is unclear. In t…

0106 biological sciencesrestorationhabitat managementDendrocopos leucotosluontotyypitManagement Monitoring Policy and LawBiologyWoodpecker010603 evolutionary biology01 natural sciencesBasal areasuojelualueetUmbrella speciesennallistaminenvalkoselkätikkaNature and Landscape ConservationlehtipuutTree canopyherbivoryEcologyTaigaForestrybiology.organism_classificationmetsiensuojeluDeciduousrecruitmentregenerationThreatened speciesumbrella species010606 plant biology & botanyForest Ecology and Management
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Why aren't warning signals everywhere? : On the prevalence of aposematism and mimicry in communities

2021

Warning signals are a striking example of natural selection present in almost every ecological community - from Nordic meadows to tropical rainforests, defended prey species and their mimics ward off potential predators before they attack. Yet despite the wide distribution of warning signals, they are relatively scarce as a proportion of the total prey available, and more so in some biomes than others. Classically, warning signals are thought to be governed by positive density-dependent selection, i.e. they succeed better when they are more common. Therefore, after surmounting this initial barrier to their evolution, it is puzzling that they remain uncommon on the scale of the community. He…

0106 biological sciencesvaroitusväri570predator-prey interactionsFREQUENCY-DEPENDENT SELECTIONFrequency-dependent selectionPopulationBatesian mimicryAposematismMacroevolutionModels Biological010603 evolutionary biology01 natural sciencesRISK-TAKINGGeneral Biochemistry Genetics and Molecular BiologyMüllerian mimicryPredationANTIPREDATOR DEFENSES03 medical and health sciencesPrevalenceAnimalsaposematismecological nicheeducationMullerian mimicryBODY-SIZE030304 developmental biology0303 health scienceseducation.field_of_studyMüllerian mimicryEcologyBiological Mimicrymimikrypredator–prey interactionseliöyhteisötBiological EvolutionBatesian mimicrysaalistusekologinen lokeroCORAL-SNAKE PATTERNCHEMICAL DEFENSEGeographyCOLOR PATTERNPredatory Behavior1181 Ecology evolutionary biologyMimicrySHIFTING BALANCEGeneral Agricultural and Biological Sciencescommunity ecology
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Loading and release of the complex [Pt(DTBTA)(DMSO)Cl]Cl·CHCl3 with the 2,2′-dithiobis(benzothiazole) ligand into mesoporous silica and studies of an…

2018

Abstract Synthetic delivery systems have great potential for overcoming problems associated with systemic toxicity that accompanies chemotherapy with the use of cisplatin and family of platinum anticancer drugs. Mesoporous silicates have been studied in context of drug delivery and drug targeting. In this paper we report the studies of loading and release of a platinum complex, [Pt(DTBTA)(DMSO)Cl]Cl∙CHCl3 (1) where DTBTA = 2,2′-dithiobis(benzothiazole), that was recently synthesized and structurally characterized. Evaluation in vitro of antitumor activity against a human breast cancer cell line (MCF-7) showed a very potent activity of complex(1). Therefore, we thought to incorporate this co…

02 engineering and technologyMesoporous silica010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesControlled release0104 chemical sciencesInorganic ChemistryAntiproliferative activityControlled releaseLoadingMCM41Platinum(II) complexchemistry.chemical_compoundTargeted drug deliveryBenzothiazolechemistrySettore CHIM/03 - Chimica Generale E InorganicaDrug deliveryMaterials ChemistryPhysical and Theoretical Chemistry0210 nano-technologyCytotoxicityMesoporous materialConjugateNuclear chemistrySettore CHIM/02 - Chimica Fisica
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Online Scheduling of Task Graphs on Hybrid Platforms

2018

Modern computing platforms commonly include accelerators. We target the problem of scheduling applications modeled as task graphs on hybrid platforms made of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corresponding processing times are known. Our study extends a previous \(4\sqrt{m/k}\)-competitive online algorithm [2], where m is the number of CPUs and k the number of GPUs (\(m\ge k\)). We prove that no online algorithm can have a competitive ratio …

020203 distributed computingCompetitive analysisonline algorithmsComputer scienceHeuristicSchedulingSymmetric multiprocessor system02 engineering and technologyParallel computingUpper and lower boundsheterogeneous computingGraph020202 computer hardware & architectureScheduling (computing)task graphs0202 electrical engineering electronic engineering information engineeringOnline algorithm[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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Multi-application Based Network-on-Chip Design for Mesh-of-Tree Topology Using Global Mapping and Reconfigurable Architecture

2019

This paper outlines a multi-application mapping for Mesh-of-Tree (MoT) topology based Network-on-Chip (NoC) design using reconfigurable architecture. A two phase Particle Swarm Optimization (PSO) has been proposed for reconfigurable architecture to minimize the communication cost. In first phase global mapping is done by combining multiple applications and in second phase, reconfiguration is achieved by switching the cores to near by routers using multiplexers. Experimentations have been carried out for several application benchmarks and synthetic applications generated using TGFF tool. The results show significant improvement in terms of communication cost after reconfiguration.

020203 distributed computingComputer scienceControl reconfigurationParticle swarm optimizationTopology (electrical circuits)02 engineering and technologyNetwork topologyMultiplexingMultiplexer020202 computer hardware & architectureNetwork on a chipComputer architecture0202 electrical engineering electronic engineering information engineeringArchitecture2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID)
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Thorough analysis of Raspberry Pi devices in outdoor/indoor communications in terms of QoS

2020

The proliferation of commercial low-cost Small Board Computers (SBC) devices have allowed the deployment of many Wireless Sensor Networks (WSN) focused on different applications, mainly based on monitoring issues. These networks are characterized by a set of these SBCs devices working in a collaborative way where each device is sensing, processing and later sending out the data to the sink. These devices are equipped with power supply, a processing unit and communications capabilities (in particular WiFi), making themselves very interesting to fit in many topologies. However, their performance in terms of communications basically depends on the environment and usually heuristic techniques a…

020203 distributed computingHeuristic (computer science)Computer scienceQuality of serviceReal-time computing02 engineering and technologyNetwork topology0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRay tracing (graphics)Wireless sensor networkThroughput (business)Multipath propagationJitterProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures

2020

Deep Learning is ubiquitous in a wide field of applications ranging from research to industry. In comparison to time-consuming iterative training of convolutional neural networks (CNNs), inference is a relatively lightweight operation making it amenable to execution on mobile devices. Nevertheless, lower latency and higher computation efficiency are crucial to allow for complex models and prolonged battery life. Addressing the aforementioned challenges, we propose FeatherCNN – a fast inference library for ARM CPUs – targeting the performance ceiling of mobile devices. FeatherCNN employs three key techniques: 1) A highly efficient TensorGEMM (generalized matrix multiplication) routine is app…

020203 distributed computingSource codeIterative methodComputer sciencebusiness.industrymedia_common.quotation_subjectDeep learningInference02 engineering and technologyParallel computingConvolutional neural networkMatrix multiplicationARM architectureComputational Theory and MathematicsHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinessmedia_commonIEEE Transactions on Parallel and Distributed Systems
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Preliminary design process for an adaptive winglet

2017

In the framework of Clean Sky 2 Airgreen 2 GRA ITD project, this paper deals with the design process of a morphing winglet for a regional aircraft. By improving A/C aerodynamic efficiency in off-design flight conditions, the morphing winglet is expected to operate during long (cruise) and short (climb and descent) mission phases to reduce aircraft drag and optimize lift distribution, while providing augmented roll and yaw control capability. The mechanical system is designed to face different flight situations by a proper action on the movable parts represented by two independent and asynchronous control surfaces with variable camber and differential settings. A set of suitable electromecha…

020301 aerospace & aeronauticsComputer scienceMechanical EngineeringMorphing wingletAerodynamic optimizationTab-like morphingAerodynamic optimization Camber morphing Morphing winglet Tab-like morphingMechanical engineering02 engineering and technology021001 nanoscience & nanotechnology0203 mechanical engineeringArtificial IntelligenceControl and Systems EngineeringCamber morphingDesign processWingtip device0210 nano-technologySettore ING-IND/04 - Costruzioni E Strutture Aerospaziali
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Optimality Conditions for Non-Qualified Parabolic Control Problems

1994

We consider parabolic state constrained optimal control problems where the usual Slater condition is not necessarily satisfied. Instead, a weaker interiority property is assumed. Optimality conditions with a Lagrange multiplier are given. As an application we present an augmented Lagrangian algorithm. Numerical test results are included.

0209 industrial biotechnologyAugmented Lagrangian method010102 general mathematicsMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyState (functional analysis)Slater's conditionOptimal control01 natural sciencessymbols.namesake020901 industrial engineering & automationLagrange multipliersymbolsApplied mathematicsNumerical tests0101 mathematicsControl (linguistics)Mathematics
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