Search results for "composition"

showing 10 items of 2675 documents

LGBTIQ+ break-up assemblages : At the end of the rainbow

2020

This article explores Finnish LGBTIQ+ people’s break-ups. The long battle for equal rights has placed LGBTIQ+ people’s relationships under pressure to succeed. Previous studies argue that partners in LGBTIQ+ relationships try to appear as ordinary and happy as possible, and remain silent about the challenges they face in their relationships. Consequently, they may miss out on opportunities to receive institutional and familial support. This study aims to move beyond recurrent frameworks that take the similarity or difference between LGBTIQ+ relationships/break-ups and mixed-sex relationships as a predefined point of departure. The analysis draws on ethnographic observations of relationship …

break-upsBattlemedia_common.quotation_subjectavioliittosateenkaariperheetdivorce5. Gender equalityassemblagequeeravioeroSociologypower relationsmarriagemedia_common05 social sciencesPower relationsAssemblage (composition)Gender studiesRainbowGeneral Medicinequeer-tutkimusLGBTIQ+5142 Social policy050902 family studies050903 gender studiesQueereroaminen (ihmissuhteet)0509 other social sciences
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Detection of Duplicated Regions in Tampered Digital Images by Bit-Plane Analysis

2009

In this paper we present a new method for searching duplicated areas in a digital image. The goal is to detect if an image has been tampered by a copy-move process. Our method works within a convenient domain. The image to be analyzed is decomposed in its bit-plane representation. Then, for each bitplane, block of bits are encoded with an ASCII code, and a sequence of strings is analyzed rather than the original bit-plane. The sequence is lexicographically sorted and similar groups of bits are extracted as candidate areas, and passed to the following plane to be processed. Output of the last planes indicates if, and where, the image has been altered.

business.industryComputer scienceBinary imageImage processingImage Forensics Image Analysis Bit-Plane Decomposition Duplication Detection Image ForgeriesPlane (Unicode)Digital imageDigital image processingComputer visionArtificial intelligencebusinessBlock (data storage)Feature detection (computer vision)Bit plane
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Non-invasive analysis of solid samples

2013

Within the Green Analytical Chemistry paradigm, the best alternative for greening the methods of analysis comprises the direct determination of sample composition and/or sample properties without any chemical sample treatment, and, of course, it would be preferable not to have any physical treatment before acquisition of the information desired. In this review, we evaluate the state of the art in, and available alternatives for, analysis of solids without prior sample treatment, starting from the non-invasive quality control of products or processes through to the use of portable instruments for in situ determinations and the development of methods based on image analysis. We evaluate the a…

business.industryComputer sciencemedia_common.quotation_subjectSample (material)Non invasiveNanotechnologyAnalytical ChemistrySample compositionEnvironmental riskQuality (business)Process engineeringbusinessSpectroscopymedia_commonTrAC Trends in Analytical Chemistry
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Can specific pre-workout meals reduce bone resorption in young gymnasts?

2021

The pre-adolescence in woman is a key stage to obtain adequate bone mineral content and to decrease the risk of osteoporosis in adulthood. Exercise and adequate nutrition can influence the bone growth process. The aim of this paper was to verify if a different pre-exercise meal can change exercise-induced bone resorption in female child artistic gymnasts. Twenty-eight preadolescent female were requited for this study. Training was preceded by high-carbohydrate meal (HCM; 300 kcal, 88% carbohydrates, 9% protein, 3% fat) or high protein meal (HPM; 300 kcal, 55% carbohydrates, 31% protein, 13% fat) ninety minutes before the start of the training session. Bone resorption biomarker, C-terminal t…

business.industryMedicineDentistrybone resorption children meal composition physical activity pre-exercise eating habits.businessBone resorptionProceedings of The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
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Optical flow estimation from multichannel spherical image decomposition

2011

The problem of optical flow estimation is largely discussed in computer vision domain for perspective images. It was also proven that, in terms of optical flow analysis from these images, we have difficulty distinguishing between some motion fields obtained with little camera motion. The omnidirectional cameras provided images with large filed of view. These images contain global information about motion and allow to remove the ambiguity present in perspective case. Nevertheless, these images contain significant radial distortions that is necessary to take into account when treating these images to estimate the motion. In this paper, we shall describe new way to compute efficient optical fl…

business.industryPerspective (graphical)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowPhysics::OpticsMotion (geometry)Spherical imageImage (mathematics)WaveletComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceDecomposition method (constraint satisfaction)businessOmnidirectional antennaSoftwareMathematicsComputer Vision and Image Understanding
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An unsupervised region growing method for 3D image segmentation

1995

The paper deals with 3D shape decomposition problem, objects are modelled as finite unions of almost-convex primitives. A new region growing method is proposed to extract meaningful objects parts. Parts are individuated by performing a set-partitioning of surface dominating points. The partition step returns labelled seeds from which to start a region growing procedure that propagate labels onto object surface patches. A fuzzy concept of λ-convexity is introduced to test noised real images. Experimental results are given.

business.industryRegion growingComputer sciencePartition (number theory)Fuzzy conceptPattern recognitionArtificial intelligenceExtreme pointbusinessReal imageDecomposition problem
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Non-negative matrix factorization Vs. FastICA on mismatch negativity of children

2009

In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by Fast independent component analysis (FastICA). Thus, in theory NMF could reach better separation of the responses. In the current experiment MMN was elicited by auditory duration deviations in 102 children. NMF was performed on the time-frequency representation of the raw data to estimate sources. Support to Absence Ratio (SAR) of the MMN co…

business.industrySpeech recognitionMismatch negativityPattern recognitionbehavioral disciplines and activitiesIndependent component analysisElectronic mailMatrix decompositionNon-negative matrix factorizationP3aTime–frequency representationFastICAArtificial intelligencebusinesspsychological phenomena and processesMathematics2009 International Joint Conference on Neural Networks
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Effect of training on aerobic capacity of female athletes differing in muscle fibre composition

1983

Abstract The effects of endurance training were studied in two groups of female cross‐country skiers who differed in muscle fibre composition. The ST‐group (n = 10) had 56–76% slow twitch (ST) muscle fibres and the FT‐group (n= 10) 40–55% ST fibres in the m. vastus lateralis. During a four‐month period, the subjects trained on the average 81 km per week. The intensive training (heart rate 0–15 beats per min below maximum) averaged 8.5 km per week. The differences in training between the two groups were not significant. The ST‐group significantly increased their cycling maximum oxygen uptake (C max, 4.6%, P <0.01) and the anaerobic threshold (AT, 2.8%, P <0.01) during the training period whe…

business.industryVO2 maxPhysical Therapy Sports Therapy and RehabilitationAnatomyAnimal scienceEndurance trainingHeart rateMuscle fibre compositionMedicineOrthopedics and Sports MedicineCyclingbusinessAnaerobic exerciseAerobic capacityTraining periodJournal of Sports Sciences
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Impact of rocket exhaust plumes on atmospheric composition and climate – an overview

2013

Rockets are the only direct anthropogenic emission sources into the upper atmosphere. Gaseous rocket emissions include CO, N2, H2, H2O, and CO2, while solid rocket motors (SRM) additionally inject significant amounts of aluminum oxide (Al2O3) particles and gaseous chlorine species into the atmosphere. These emissions strongly perturb local at- mospheric trace gas and aerosol distributions. Here, the previous aircraft measurements in various rocket exhaust plumes including several large space shuttle launch vehicles are compiled. The observed changes of the lower stratospheric composition in the near field are summarized.

business.product_categoryAtmosphärische SpurenstoffeAtmospheric sciencesTrace gasAerosolPhysics::GeophysicsAtmosphereAtmospheric compositionRocketatmospheric compositionPhysics::Space Physicseffects on atmospheric compositionEnvironmental scienceRocket emissionsSatelliteAstrophysics::Earth and Planetary AstrophysicsbusinessclimateAstrophysics::Galaxy AstrophysicsPhysics::Atmospheric and Oceanic Physics
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Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis

2019

Real-world data are often linked with each other since they share some common characteristics. The mutual linking can be seen as a core driving force of group analysis. This study proposes a generalized linked canonical polyadic tensor decomposition (GLCPTD) model that is well suited to exploiting the linking nature in multi-block tensor analysis. To address GLCPTD model, an efficient algorithm based on hierarchical alternating least squa res (HALS) method is proposed, termed as GLCPTD-HALS algorithm. The proposed algorithm enables the simultaneous extraction of common components, individual components and core tensors from tensor blocks. Simulation experiments of synthetic EEG data analysi…

canonical polyadicComputer scienceGeneralizationNoise reductionlinked tensor decomposition020206 networking & telecommunications02 engineering and technologyIterative reconstructionhierarchical alternating least squares03 medical and health sciencessimultaneous extraction0302 clinical medicineGroup analysisCore (graph theory)0202 electrical engineering electronic engineering information engineeringTensor decompositionTensorAlgorithmRealization (systems)030217 neurology & neurosurgery
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