4,306 research outputs found
Dropoutstrategie: Grundlagen zur Prävention und Reintegration von Dropouts in Ausbildung und Beschäftigung
aus dem Inhaltsverzeichnis: Einführung; Ausgangssituation; Maßnahmen und Interventionen; Österreichische Dropoutstrategie; Literatur- und Quellenverzeichnis; Anhang
Investigation of the tetraquark candidate : technical aspects and preliminary results
We discuss technical aspects and first results of a lattice QCD study of the
state. We employ various interpolating operators of quark-antiquark,
mesonic molecule, diquark-antidiquark and two-meson type. Both connected and
disconnected contributions including diagrams with closed fermion loops are
computed. To keep statistical errors small, it is essential to optimize the
computation of these diagrams by choosing that combination of techniques most
appropriate for each type of diagram from the correlation matrix of
interpolating operators. We illustrate, how this can be done, by discussing
certain diagrams in detail. We also present preliminary results corresponding
to a submatrix computed with 2+1 flavors of clover fermions.Comment: 13 pages, 9 figures, talks given at the 32nd International Symposium
on Lattice Field Theory (Lattice 2014), 23-28 June 2014, Columbia University,
New York, NY, US
Computation of correlation matrices for tetraquark candidates with and flavor structure
The conjecture that several recently observed mesons have a structure, which
is not dominated by an ordinary quark-antiquark pair, but by a four-quark
structure, is being actively investigated both theoretical and experimentally.
Such a state may be characterized as a mesonic molecule or as a
diquark-antidiquark pair. Lattice QCD provides a theoretically sound framework
to study such states. To quantitatively investigate the internal structure of
such mesons, one needs to precisely compute correlation matrices containing
several interpolating operators including two and four quarks. Here we discuss
certain technical aspects of such correlation matrices suited to study
tetraquark candidates with and flavor structure , e.g.\ the meson, the meson and some of the
charged states. Some numerical results for the meson
are presented.Comment: 7 pages, 4 figures, talk given at the 33rd International Symposium on
Lattice Field Theory (Lattice 2015), 14-18 July 2015, Kobe International
Conference Center, Kobe, Japa
Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification
This paper presents a fully automated approach for identifying speech
anomalies from voice recordings to aid in the assessment of speech impairments.
By combining Connectionist Temporal Classification (CTC) and
encoder-decoder-based automatic speech recognition models, we generate rich
acoustic and clean transcripts. We then apply several natural language
processing methods to extract features from these transcripts to produce
prototypes of healthy speech. Basic distance measures from these prototypes
serve as input features for standard machine learning classifiers, yielding
human-level accuracy for the distinction between recordings of people with
aphasia and a healthy control group. Furthermore, the most frequently occurring
aphasia types can be distinguished with 90% accuracy. The pipeline is directly
applicable to other diseases and languages, showing promise for robustly
extracting diagnostic speech biomarkers
Neural Volumetric Blendshapes: Computationally Efficient Physics-Based Facial Blendshapes
Computationally weak systems and demanding graphical applications are still
mostly dependent on linear blendshapes for facial animations. The accompanying
artifacts such as self-intersections, loss of volume, or missing soft tissue
elasticity can be avoided by using physics-based animation models. However,
these are cumbersome to implement and require immense computational effort. We
propose neural volumetric blendshapes, an approach that combines the advantages
of physics-based simulations with realtime runtimes even on consumer-grade
CPUs. To this end, we present a neural network that efficiently approximates
the involved volumetric simulations and generalizes across human identities as
well as facial expressions. Our approach can be used on top of any linear
blendshape system and, hence, can be deployed straightforwardly. Furthermore,
it only requires a single neutral face mesh as input in the minimal setting.
Along with the design of the network, we introduce a pipeline for the
challenging creation of anatomically and physically plausible training data.
Part of the pipeline is a novel hybrid regressor that densely positions a skull
within a skin surface while avoiding intersections. The fidelity of all parts
of the data generation pipeline as well as the accuracy and efficiency of the
network are evaluated in this work. Upon publication, the trained models and
associated code will be released
Lattice investigation of the tetraquark candidates a0(980) and kappa
It is a long discussed issue whether light scalar mesons have sizeable four-quark components. We present an exploratory study of this question using Nf = 2+1+1 twisted mass lattice QCD. A mixed action approach ignoring disconnected contributions is used to calculate correlatormatrices consisting of mesonic molecule, diquark-antidiquark and two-meson interpolating operators with quantum numbers of the scalar mesons a0(980) (1(0++)) and k (1/2(0+)). The correlation matrices are analyzed by solving the generalized eigenvalue problem. The theoretically expected free two-particle scattering states are identified, while no additional low lying states are observed. We do not observe indications for bound four-quark states in the channels investigated
O MARKETING NO ENSINO SUPERIOR: COMPARATIVO BRASIL-PORTUGAL
Ao abordar o marketing aplicado ao ensino superior, este estudo tem como objectivos discutir os conceitos teóricos do marketing educacional e aplicá-los aos contextos brasileiro e português. Tendo em consideração que o marketing educacional tem a sua maior expressão nos E.U.A., a sua aplicação a diferentes realidades e culturas requer adaptações. Inicialmente, fez-se uma revisão dos conceitos tradicionais de marketing educacional, com ênfase no marketing-mix aplicado à educação. Posteriormente realizou-se uma caracterização dos contextos actuais do ensino superior no Brasil e em Portugal, e fez-se uma comparação da aplicação do marketing educacional nas realidades brasileira e portuguesa, focando as análises no marketing-mix educacional. Percebeu-se que o ensino superior no Brasil tem características muito diversas do ensino superior em Portugal e ambos divergem na aplicação dos conceitos mais tradicionais do marketing à educação. Desta forma, faz-se necessária a construção de abordagens teóricas específicas para a aplicação do marketing educacional a diferentes nações
Portuguese state university performance according to students: an efficiency analysis
The objective of this research project is to evaluate the performance of Portuguese state universities in accordance with the expectations and satisfactions of their students and through recourse to the DEA methodology and thus representing one of the very few studies analysing university performance based upon student perceptions. According to an output oriented Variable Returns to Scale model, handling the responses returned by 1,669 students, the results demonstrate that faculties generally attain a good relationship between student expectations and their levels of satisfaction. We furthermore conclude that university scale does not guarantee efficiency. Hence, irrespective of size, universities are able to ensure the satisfaction of their students. Finally, the results show that satisfying only certain expectations related to specific aspects does not prove sufficient to guaranteeing overall student satisfaction. The analysis also correspondingly finds that while some decision making units prove efficient in satisfying expectations on specific aspects, they fail to attain such efficiency in the overall perspective of students
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