Search results for "Identification"
showing 10 items of 1600 documents
Surrogate outcomes and transportability
2019
Identification of causal effects is one of the most fundamental tasks of causal inference. We consider an identifiability problem where some experimental and observational data are available but neither data alone is sufficient for the identification of the causal effect of interest. Instead of the outcome of interest, surrogate outcomes are measured in the experiments. This problem is a generalization of identifiability using surrogate experiments and we label it as surrogate outcome identifiability. We show that the concept of transportability provides a sufficient criteria for determining surrogate outcome identifiability for a large class of queries.
La Comprensión Asíncrona de las Emociones Básicas: un Estudio Longitudinal con Niños de 3 a 5 Años
2021
El presente estudio tiene como finalidad explorar la trayectoria evolutiva de la comprensión de cuatro emociones en niños de tres a cinco años. Sabemos que los niños identifican las expresiones faciales y después entienden la causa de las emociones, pero ¿las emociones se comprenden a la vez, en el mismo momento evolutivo? Para llevar a cabo este estudio se evaluó de forma longitudinal a un grupo de 103 niños y niñas entre los 3 y los 5 años. A través del Test de Comprensión Emocional se midieron los componentes de identificación de la expresión emocional y el conocimiento de la causa de cuatro emociones –tristeza, alegría, enfado y miedo– a lo largo de los tres años. Los resultados confirm…
Advances in detection of fastidious bacteria: From microscopic observation to molecular biosensors
2019
Abstract Identification of pathogens and diagnosis of infections are important health challenges, especially in the case of fastidious bacteria which are those difficult-to-grow. A fastidious organism is any organism that has a complex nutritional requirement. Additionally, a fastidious microorganism will only grow when specific nutrients are included in the culture medium. These bacteria can cause serious diseases whose detection and monitoring is critical in many cases. The oldest detection methods are based on simple microscopy observation and staining, after culture on selective growth media, but often do not provide a clear answer. Some new molecular approaches, such as DNA-based seque…
Effective feature descriptor-based new framework for off-line text-independent writer identification
2018
Feature engineering is a key factor of machine learning applications. It is a fundamental process in writer identification of handwriting, which is an active and challenging field of research for many years. We propose a conceptually computationally efficient, yet simple and fast local descriptor referred to as Block Wise Local Binary Count (BW-LBC) for offline text-independent writer identification of handwritten documents. Proposed BW-LBC operator, which characterizes the writing style of each writer, is applied to a set of connected components extracted and cropped from scanned handwriting samples (documents or set of words/text lines) where each labeled component is seen as a texture im…
The Multi-States (MuSt) Theory for Emotion- and Action-regulation in Sports
2020
Feeling states – including emotional experiences – are fundamental to human adaptation, as they influence effort, attention, decision making, memory, and behavioural responses of individuals, as well as their interpersonal interactions. Thus, the ability to self-regulate is crucial for athletic success. This chapter presents the multi-states (MuSt) theory as a holistic approach for both emotion- and action-centred self-regulation for performance enhancement and optimisation. Central to the MuSt theory is the notion that a combination of emotion- and action-regulation strategies is more effective than focusing on one aspect alone. In this chapter, we describe psychobiosocial feeling states a…
Foetal ECG recovery using dynamic neural networks
2002
Non-invasive electrocardiography has proven to be a very interesting method for obtaining information about the foetus state and thus to assure its well-being during pregnancy. One of the main applications in this field is foetal electrocardiogram (ECG) recovery by means of automatic methods. Evident problems found in the literature are the limited number of available registers, the lack of performance indicators, and the limited use of non-linear adaptive methods. In order to circumvent these problems, we first introduce the generation of synthetic registers and discuss the influence of different kinds of noise to the modelling. Second, a method which is based on numerical (correlation coe…
Le flore come opere aperte: nuove soluzioni per l’archiviazione e il reperimento di informazioni botaniche
2009
Negli ultimi due decenni si sono verificati numerosi cambiamenti nell’approccio sistematico-tassonomico allo studio dei vegetali. La moderna delimitazione di ciascuna specie può includere da un lato conoscenze derivanti dall’indagine a livello ecosistemico e all’estremo opposto quelle derivanti dall’indagine a livello molecolare. La tassonomia del 21° secolo sarà sempre più fortemente orientata verso una definizione “olistica” delle specie, che verranno archiviate non più solo negli erbari, ma anche, e soprattutto, in archivi digitali interattivi, progettati per fungere da “collettori di informazione tassonomica multilivello”. In tali archivi possono infatti confluire dati morfologici, biom…
Simultaneous seismic wave clustering and registration
2012
In this paper we introduce a simple procedure to identify clusters of multivariate waveforms based on a simultaneous assignation and alignment procedure. This approach is aimed at the identification of clusters of earthquakes, assuming that similarities between seismic events with respect to hypocentral parameters and focal mechanism correspond to similarities between waveforms of events. Therefore we define a distance measure between seismic curves in R^d d>=1, in order to interpret and better understand the main features of the generating seismic process.
Simulations and Experiments in Protein Folding
2014
The interplay between simulations and experiments of protein folding has largely contributed to the elucidation of many important aspects of the phenomenon. In this chapter, I briefly describe the experiments which provide information on the kinetics of the protein folding process, and help to characterize the folding transition state. Then, I show how to probe the kinetics of protein folding using molecular dynamics simulations, how to compare the simulations with the experiments and how to help and rationalize the latter, ultimately offering a molecular picture of the process. After the production of suitable molecular dynamics simulation data in the form of trajectories, the procedure in…
Mycotoxins: Toxicology, Identification and Control
2021
The evaluation of the presence of mycotoxins in different matrices is achieved through different analytical tools (including quantitative or qualitative determinations) [...]