Search results for "nlo"

showing 10 items of 285 documents

Steady‐state solutions of the aerotaxis problem

2022

We study the steady-state system of aerotaxis equations in higher dimensions.It is shown that the existence and multiplicity of solutions depend on the totalmass of the colony of bacteria, the energy function, and the boundary conditions.

aerotaxis equationsGeneral MathematicsGeneral Engineeringstationary solutionsnonlocal elliptic problemsMathematical Methods in the Applied Sciences
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Periodontal disease associated to systemic genetic disorders

2007

A number of systemic disorders increase patient susceptibility to periodontal disease, which moreover evolves more rapidly and more aggressively. The underlying factors are mainly related to alterations in immune, endocrine and connective tissue status. These alterations are associated with different pathologies and syndromes that generate periodontal disease either as a primary manifestation or by aggravating a pre-existing condition attributable to local factors. This is where the role of bacterial plaque is subject to debate. In the presence of qualitative or quantitative cellular immune alterations, periodontal disease may manifest early on a severe localized or generalized basis - in s…

agranulocitosis infantil genéticasystemic alterationsEnfermedad periodontalDown syndromePapillon-Lefèvre syndromealteraciones sistémicas:CIENCIAS MÉDICAS [UNESCO]síndrome de Chediak-Higashiperiodontitis due to genetic alterationsperiodontitis por alteraciones genéticashyperimmunoglobulinemia Esíndrome de Marfansíndrome de hiperglobulinemia EMarfan syndromesevere congenital neutropenianeutropenia severa congénitaEhler-Danlos syndromesíndrome de Ehler-DanlosUNESCO::CIENCIAS MÉDICASsíndrome de Papillon-Lefévresíndrome de DownPeriodontal diseaseChediak-Higiashi syndromeinfantile genetic agranulocytosis
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Mining road traffic accidents

2009

ajonopeusliikenneturvallisuusliikenneonnettomuudettutkimusliikennekäyttäytyminentiedonlouhintaautoilijatautoliikenne
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The role of salmonid fishes in conservation of the endangered freshwater pearl mussel (Margaritifera margaritifera)

2016

The abundance of freshwater pearl mussels (Margaritifera margaritifera) has declined widely during the past century, and new conservation initiatives are needed. This thesis focused on the relationship between M. margaritifera and its salmonid host required for reproduction of this species. First, by exposing fish experimentally to glochidium larvae of M. margaritifera, different M. margaritifera populations were shown to demonstrate strong differences in their ability to parasitize different salmonid species. Atlantic salmon was clearly a better host for mussels in large river channels, whereas in small headwater tributaries brown trout was the best, or the only suitable, host. These findi…

animal structuresSalvelinus fontinalisSalmo salarlohikalatpuronieriälohiparasitismiglochidium parasitismisäntälajitsimpukateläimistön suojeluatlantinlohiinvasive speciesjokihelmisimpukkatoukattaimenpurotaimenhost fishpopulaatiotfreshwater pearl musselvirtavedetSalmo truttavieraslajitsuojelu
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Explaining information technology users’ ways of mitigating technostress

2017

Technostress refers to the inability of an individual to deal with information technology (IT) in a healthy manner. Researchers, practitioners, and medical professionals have emphasized the omnipresence of technostress and its severe outcomes, including poor well-being and burnout. Despite the importance of the phenomenon, prior research has paid limited attention to how technostress can be mitigated. The few existing studies examine organizational mitigation mechanisms, but we could not find any studies that focus on individual IT users’ own ways of mitigating technostress outside of work. To address the research gap, we conducted a qualitative study to uncover users’ ways of mitigating te…

app descriptionskysyntätekstinlouhintademand estimationmobiilisovelluksetennakointimobile applications
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The Effect of Textual Producer-Generated Descriptions on Demand of Mobile Applications

2017

We analyze the impact of different app description characteristics on app demand on the basis of panel data for six months and 1081 distinct apps. We use several text mining techniques in order to operationalize the descriptions’ textual characteristics. The extracted variables are then used in an econometric investigation to examine their impact on apps’ downloads. Our results provide evidence that app descriptions have an effect on demand. Apps with upfront price should be described in a neutral tone. Apps without an upfront price but with in-app purchase option should be offered with rather short descriptions that are written in a formal and subjective style. peerReviewed

app descriptionskysyntätekstinlouhintamental disordersdemand estimationmobiilisovelluksetennakointimobile applications
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Data Mining for the Security of Cyber Physical Systems Using Deep-Learning Methods

2022

Cyber Physical Systems (CPSs) have become widely popular in recent years, and their applicability have been growing exponentially. A CPS is an advanced system that incorporates a computation unit along with a hardware unit, allowing for computing processes to interact with the physical world. However, this increased usage has also led to the security concerns in them, as they allow potential attack vendors to exploit the possibilities of committing misconduct for their own benefit. It is of paramount importance that these systems have comprehensive security mechanisms to mitigate these security threats. A typical attack vector for a CPS is malicious data supplied by compromised sensors that…

autoencodercyber physical systemsyväoppiminensupport vector machinefault tolerancetiedonlouhintakyberturvallisuusverkkohyökkäyksetsensor datacyber attacktietojärjestelmätInternational Conference on Cyber Warfare and Security
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Application of a Knowledge Discovery Process to Study Instances of Capacitated Vehicle Routing Problems

2020

Vehicle Routing Problems (VRP) are computationally challenging, constrained optimization problems, which have central role in logistics management. Usually different solvers are being developed and applied for different kind of problems. However, if descriptive and general features could be extracted to describe such problems and their solution attempts, then one could apply data mining and machine learning methods in order to discover general knowledge on such problems. The aim then would be to improve understanding of the most important characteristics of VRPs from both efficient solution and utilization points of view. The purpose of this article is to address these challenges by proposi…

autoencoderreititysbusiness.industryComputer scienceProcess (engineering)capacitated vehicle routing problemsfeature extractionFeature extractionLogistics managementknowledge discoveryRobust statisticsMachine learningcomputer.software_genreAutoencoderkoneoppiminenKnowledge extractionoptimointirobust statisticsVehicle routing problemlogistiikkaGeneral knowledgeArtificial intelligencetiedonlouhintabusinesscomputer
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Characterization and Investigation of NLO Properties of some Selected Electrodeposited Polythiophenes

2009

In this work we study the electronic properties of ClO− doped polythiophenes and discuss the nonlinear optical properties of these organic 4 compounds galvanostatically electrodeposited on ITO glasses. The investigation on the electronic properties (band gap, flat band potential) was performed by means of a non-destructive optical technique, photocurrent spectroscopy (PCS). The investigation on the nonlinear optical response was carried out by means of second and third harmonic generation (SHG and THG) measurements. In particular, the effect of the oxidation state of the polymeric films was studied by comparing the NLO response of oxidized and reduced polythiophenes. Reduced poly- meric films …

band gap flat band potential SHG THG NLO properties
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Data-driven value creation in digitalizing public service

2022

Data has become an important asset in value creation. Organizations are dealing with a huge amount of data generated on different platforms. In dynamic environments, public organizations have an opportunity to make innovations by applying innovative technologies, implementing big data, and enabling data analytics capabilities that can create value. Evidence from the literature shows that organizations need data analytics capabilities to achieve data-driven value creation. In this chapter, based on a literature review and case example, the aim is to present the factors enabling public innovations from the big data analytics perspective; a theoretical framework for data-driven value creation …

big dataarvonluontisähköiset palvelut512 Business and managementtiedonlouhinta113 Computer and information sciencesdigitalisaatiojulkiset palvelutinnovaatiot
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