Qualitative pattern recognition in chemistry: Theoretical background and practical guidelines

2021 ◽  
Vol 162 ◽  
pp. 105725
Author(s):  
Paolo Oliveri ◽  
Cristina Malegori ◽  
Eleonora Mustorgi ◽  
Monica Casale
2019 ◽  
Vol 2 (4) ◽  
pp. 35 ◽  
Author(s):  
Eva Pietroni

Experience design, both in real and in virtual museums, is very complex to be planned, even more when digital contents are juxtaposed to real collections. Researchers in this field, curators, creatives and software developers must work together in order to evolve towards a more efficient interconnection among visitors, collections and digital applications. This paper deals with such an interconnection, providing a theoretical background and practical guidelines, on the basis of museum studies and of the author’s research experience in this domain, supported by the results of surveys carried out on European museums visitors dealing with digital technologies. Media hybridization has a long and evolving tradition and it can contribute to transmit culture in engaging way to the public, respecting the scientific plausibility of contents. The choice of narrative structures and styles, as well as of interaction paradigms and technologies, is deeply conditioned by a series of factors that will be examined in detail. A general “direction” is needed to arouse in the visitor a feeling of confidence and trust, expectation and discovery that makes him/her feel at the center of an emotional and creative experience, of a progressive appropriation of meaning. Various typologies of experiences will be discussed and compared.


2018 ◽  
Vol 1 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Frank Emmert-Streib ◽  
Matthias Dehmer

Personalized or precision medicine is a new paradigm that holds great promise for individualized patient diagnosis, treatment, and care. However, personalized medicine has only been described on an informal level rather than through rigorous practical guidelines and statistical protocols that would allow its robust practical realization for implementation in day-to-day clinical practice. In this paper, we discuss three key factors, which we consider dimensions that effect the experimental design for personalized medicine: (I) phenotype categories; (II) population size; and (III) statistical analysis. This formalization allows us to define personalized medicine from a machine learning perspective, as an automized, comprehensive knowledge base with an ontology that performs pattern recognition of patient profiles.


2018 ◽  
Vol 9 (2) ◽  
pp. 1
Author(s):  
Arthur Silva Bastos ◽  
Renata Faria Gomes ◽  
Clemilson Costa dos Santos ◽  
José Gilvan Rodrigues Maia

Immersion is a quality that turns user experiences more appealing, despite the definition of immersion itself still being a source of controversy. Modern electronic games became a well-established immersive media which already has a number of consumer-level virtual reality hardware and software available. Endowing a game with immersion requires not only theoretical background found in literature but more practical guidelines for assisting developers to glimpse possibilities and make design decisions. In this paper, we investigate specific features that bestow immersion to an electronic game. So, we first analyzed game titles the audience, the critics and developers themselves consider immersive in order to enumerate potentially immersive features found in these games. We then developed a potentially immersive game prototype based on these features. Results of a comparative evaluation of our prototype and the selected titles under different settings suggest that six features were able to provide an immersive experience.


The Oxford Handbook of Archaeological Ceramic Analysis draws together topics and methodologies essential for the socio-cultural, mineralogical, and geochemical analysis of archaeological ceramic. Ceramic is one of the most complex and ubiquitous archaeomaterials in the archaeological record: it occurs around the world and through time in almost every culture and context, from building materials and technological installations to utilitarian wares and votive figurines. For more than 100 years, archaeologists have used ceramic analysis to answer complex questions about economy, subsistence, technological innovation, social organization, and dating. The volume is structured around the themes “Research design and data analysis,” “Foundational concepts,” “Evaluating ceramic provenance,” “Investigating ceramic manufacture,” “Assessing vessel function,” and “Dating ceramic assemblages.” It provides a common vocabulary and offers practical tools and guidelines for ceramic analysis using techniques and methodologies ranging from network analysis and typology to rehydroxylation dating and inductively coupled plasma mass spectrometry. Each chapter provides the theoretical background and practical guidelines, such as cost and destructiveness of analysis, for each technique, as well as detailed case studies illustrating the application and interpretation of analytical data for answering anthropological questions.


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Maria Pusa

The topic of this paper is the development of sensitivity and uncertainty analysis capability to the reactor physics code CASMO-4 in the context of the UAM (Uncertainty Analysis in Best-Estimate Modelling for Design, Operation, and Safety Analysis of LWRs) benchmark. The sensitivity analysis implementation is based on generalized perturbation theory, which enables computing the sensitivity profiles of reaction rate ratios efficiently by solving one generalized adjoint system for each response. Both the theoretical background and the practical guidelines for modifying a deterministic transport code to compute the generalized adjoint solutions and sensitivity coefficients are reviewed. The implementation to CASMO-4 is described in detail. The developed uncertainty analysis methodology is deterministic, meaning that the uncertainties are computed based on the sensitivity profiles and covariance matrices for the uncertain nuclear data parameters. The main conclusions related to the approach used for creating a covariance library compatible with the cross-section libraries of CASMO-4 are presented. Numerical results are given for a lattice physics test problem representing a BWR, and the results are compared to the TSUNAMI-2D sequence in SCALE 6.1.


Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


Author(s):  
L. Fei ◽  
P. Fraundorf

Interface structure is of major interest in microscopy. With high resolution transmission electron microscopes (TEMs) and scanning probe microscopes, it is possible to reveal structure of interfaces in unit cells, in some cases with atomic resolution. A. Ourmazd et al. proposed quantifying such observations by using vector pattern recognition to map chemical composition changes across the interface in TEM images with unit cell resolution. The sensitivity of the mapping process, however, is limited by the repeatability of unit cell images of perfect crystal, and hence by the amount of delocalized noise, e.g. due to ion milling or beam radiation damage. Bayesian removal of noise, based on statistical inference, can be used to reduce the amount of non-periodic noise in images after acquisition. The basic principle of Bayesian phase-model background subtraction, according to our previous study, is that the optimum (rms error minimizing strategy) Fourier phases of the noise can be obtained provided the amplitudes of the noise is given, while the noise amplitude can often be estimated from the image itself.


2008 ◽  
Vol 18 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Margaret Leahy

Abstract Educating students and informing clinicians regarding developments in therapy approaches and in evidence-based practice are important elements of the responsibility of specialist academic posts in universities. In this article, the development of narrative therapy and its theoretical background are outlined (preceded by a general outline of how the topic of fluency disorders is introduced to students at an Irish university). An example of implementing narrative therapy with a 12-year-old boy is presented. The brief case description demonstrates how narrative therapy facilitated this 12-year-old make sense of his dysfluency and his phonological disorder, leading to his improved understanding and management of the problems, fostering a sense of control that led ultimately to their resolution.


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