Tales Out of School – The ‘Hidden Curriculum’ in National Schools in the North of Ireland During the Nineteenth and Early Twentieth Centuries

The paper addresses the possibility of the existence of a ‘hidden curriculum’ in nineteenth- and early twentieth-century National Schools by comparing working practices evident from an analysis of a sample of schools from two case study areas in the north of Ireland – Derry City and the rural area of Boho/Derrygonnelly in western County Fermanagh. The relationship between the placement of the school buildings and variations in their external appearances are examined in respect to their relationships with different churches. The possible significance of this relationship is scrutinised given that the primary aim of the National School system was joint secular education in a religiously divided society. Both the external and internal architecture of the buildings are also examined for the purposes of reconstructing aspects of the intentions and practices that governed their use. In particular, the relationship between allocated space and the categories of age and gender are studied by means of an access analysis of the floor plans of a representative sample of primary schools from both case study areas. Information derived from oral history accounts, archived material from the Public Record Office of Northern Ireland (PRONI) and school registers is used to supplement the findings obtained from the architectural analyses.

"Hidden" Social Networks in Behavior Change Interventions

We investigated whether “hidden” (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among participants (i.e., social networks) and how such interactions affect intervention outcome.

Algorithms for Hidden Markov Models With Imprecisely Specified Parameters

Hidden Markov models (HMMs) are widely used models for sequential data. As with other probabilistic graphical models, they require the specification of precise probability values, which can be too restrictive for some domains, especially when data are scarce or costly to acquire. We present a generalized version of HMMs, whose quantification can be done by sets of, instead of single, probability distributions. Our models have the ability to suspend judgment when there is not enough statistical evidence, and can serve as a sensitivity analysis tool for standard non-stationary HMMs. Efficient inference algorithms are developed to address standard HMM usage such as the computation of likelihoods and most probable explanations. Experiments with real data show that the use of imprecise probabilities leads to more reliable inferences without compromising efficiency.

Evaluation of information extraction techniques to label extracted data from e-commerce web page

Automatically determining and assigning shared and meaningful text labels to data extracted from an e-Commerce web page is a challenging problem. An e-Commerce web page can display a list of data records, each of which can contain a combination of data items (e.g. product name and price) and explicit labels, which describe some of these data items. Recent advances in extraction techniques have made it much easier to precisely extract individual data items and labels from a web page, however, there are two open problems: 1. assigning an explicit label to a data item, and 2. determining labels for the remaining data items. Furthermore, improvements in the availability and coverage of vocabularies, especially in the context of e-Commerce web sites, means that we now have access to a bank of relevant, meaningful and shared labels which can be assigned to extracted data items. However, there is a need for a technique which will take as input a set of extracted data items and assign automatically to them the most relevant and meaningful labels from a shared vocabulary. We observe that the Information Extraction (IE) community has developed a great number of techniques which solve problems similar to our own. In this work-in-progress paper we propose our intention to theoretically and experimentally evaluate different IE techniques to ascertain which is most suitable to solve this problem.

Deciphering the performance hints hidden in J. S. Bach’s quaver beams

Bach often beamed his quavers beyond the beat-unit indicated by the time-signature, as if to indicate the way he perceived, phrased or articulated a musical line. In my previous study in 2011 I demonstrated the significance for both performers and editors of critical editions of quaver beaming against a broader background of Bach’s notational practice. In this article, I go one step further and demonstrate that Bach’s quaver beams reflect how Bach responded to his pieces in composition and performance, which sheds light on how he engaged with and perceived his music from motivic to structural levels. This enquiry has never before been pursued thoroughly and it promises to uncover the ideas that guided his notational practice as well as his spontaneous responses to the challenges he faced while writing out his music on paper

Using the hidden Markov model to capture quality of care in Lombardy geriatric wards

Quality of care is an important aspect of healthcare monitoring, which is used to ensure that the healthcare system is delivering care of the highest standard. With populations growing older there is an increased urgency in making sure that the healthcare delivered is of the highest standard. Healthcare providers are under increased pressure to ensure that this is the case with public and government demand expecting a healthcare system of the highest quality. Modelling quality of care is difficult to measure due to the many ways of defining it. This paper introduces a potential model which could be used to take quality of care into account when modelling length of stay. The Coxian phase-type distribution is used to model length of stay and the associated quality of care incorporated into the Coxian using a Hidden Markov model. Covariates are also introduced to determine their impact on the hidden level to find out what potentially can affect quality of care. This model is applied to geriatic patient data from the Lombardy region of Italy. The results obtained highlighted that bed numbers and the type of hospital (public or private) can have an effect on the quality of care delivered.

Hidden Markov Models With Set-Valued Parameters

Hidden Markov models (HMMs) are widely used probabilistic models of sequential data. As with other probabilistic models, they require the specification of local conditional probability distributions, whose assessment can be too difficult and error-prone, especially when data are scarce or costly to acquire. The imprecise HMM (iHMM) generalizes HMMs by allowing the quantification to be done by sets of, instead of single, probability distributions. iHMMs have the ability to suspend judgment when there is not enough statistical evidence, and can serve as a sensitivity analysis tool for standard non-stationary HMMs. In this paper, we consider iHMMs under the strong independence interpretation, for which we develop efficient inference algorithms to address standard HMM usage such as the computation of likelihoods and most probable explanations, as well as performing filtering and predictive inference. Experiments with real data show that iHMMs produce more reliable inferences without compromising the computational efficiency.

Using a Discrete Hidden Markov Model Kernel for lip-based biometric identification

In this paper, a novel and effective lip-based biometric identification approach with the Discrete Hidden Markov Model Kernel (DHMMK) is developed. Lips are described by shape features (both geometrical and sequential) on two different grid layouts: rectangular and polar. These features are then specifically modeled by a DHMMK, and learnt by a support vector machine classifier. Our experiments are carried out in a ten-fold cross validation fashion on three different datasets, GPDS-ULPGC Face Dataset, PIE Face Dataset and RaFD Face Dataset. Results show that our approach has achieved an average classification accuracy of 99.8%, 97.13%, and 98.10%, using only two training images per class, on these three datasets, respectively. Our comparative studies further show that the DHMMK achieved a 53% improvement against the baseline HMM approach. The comparative ROC curves also confirm the efficacy of the proposed lip contour based biometrics learned by DHMMK. We also show that the performance of linear and RBF SVM is comparable under the frame work of DHMMK.

Human odontoblasts express functional TRPV2 channels

Background: The transient receptor potential (TRP) ion channels play a critical role in sensory physiology, where they act as transducers of thermal, mechanical and chemical stimuli. We have previously shown the functional expression of several TRP channels by human odontoblast-like cells and proposed their significance in odontoblast sensory perception. Functional expression of the mechano-sensitiveTRPV2 channel by human odontoblasts would further support a role for TRP channels in odontoblast physiology. Objective: The objective of the current study was to determine the functional expression of TRPV2 by human odontoblasts. Methods: Human dental pulp cells were cultured in the presence of 2 mM β-glycerophoshate to induce an odontoblast phenotype. TRPV2 gene expression was determined by qPCR employing custom designed FAM TRPV2 specific primers and probes (Roche, UK) and the Light Cycler 480 Probes Master (Roche). TRPV2 protein expression was determined following SDS-PAGE and Western blotting of cell lysate preparations. Functional expression of TRPV2 was investigated by Ca2+ microfluorimetry. Results: qPCR data indicated robust expression of TRPV2 in odontoblast-like cells. Western blotting revealed a discrete immunoreactive protein band indicating expression of TRPV2 in cell lysates. In functional assays, the chemical agonist of TRPV2, cannabidiol, was shown to elicit [Ca2+]i transients, that were reduced to baseline in the presence of the TRPV2 antagonist Tranilast, suggesting channel functionality in odontoblast-like cells. Conclusion: These results provide the first evidence for the functional expression of TRPV2 in human odontoblast-like cells, providing further support for the role of TRP channels in odontoblast physiology.

Protease activated receptor 2 expression and functionality in caries

Introduction: Protease activated receptors (PARs) are G-protein-coupled transmembrane receptors that are expressed on many cell types and implicated in various inflammatory processes in vivo. The induction of PAR2 as a result of the inflammatory response associated with dental caries remains to be determined. Objectives: The aim was to localise the expression of PAR2 in human dental pulp from carious teeth and to confirm receptor functionality using an in vitro assay. Methods: Dental pulp sections from decalcified carious teeth were examined by immunocytochemsitry. Membrane preparations from cultured pulp fibroblasts were subject to SDS-PAGE and immunoblotting to confirm fibroblast-associated immunoreactivity. The functionality of PAR2 on dental pulp fibroblasts was studied using calcium imaging in the presence of several potential activators including a PAR2 agonist (PAR2-AP), trypsin and pulpal enzymes from a carious tooth. Results: Immunocytochemistry revealed intense PAR2 immunoreactivity on pulpal fibroblasts subjacent to carious lesions but not in surrounding regions of the dental pulp. Pulp specimens from a dental injury model showed no expression of PAR2, suggesting its expression was related to cellular changes associated with ongoing caries. The localisation of PAR2 staining to pulpal fibroblasts in carious teeth was confirmed by Western blotting which revealed PAR2 immunoreactive bands in membrane fractions prepared from pulp fibroblasts. In functional studies, challenge of cultured pupal fibroblasts with PAR2-AP, trypsin and an extract of proteolytic enzymes from a carious dental pulp, showed specific activation of PAR2. Conclusions: This work demonstrates that PAR2 is functional and inducible in human dental pulp fibroblasts in response to caries and that endogenous pulpal enzymes can activate PAR2.

Diabetes Distress: Understanding the Hidden Struggles of Living with Diabetes and Exploring Intervention Strategies

Diabetes Distress is a rational emotional response to the threat of a life-changing illness. Distinct from depression, it is rooted in the demands of diabetes management and is a product of psychological adjustment. Diabetes distress has been found to be significantly associated with HbA1c and self-care, which demonstrates its clinical use in treatment outcomes. Interpersonal factors such as perceived support and protectiveness of partners significantly contribute to elevated distress, suggesting that these are valued areas of focus for interventions. Pioneering large-scale research, DAWN2, gives voices to the families of those with diabetes and reaffirms the need to consider psychosocial factors in routine diabetes care. Structured diabetes education programmes are the most widely used in helping individuals cope with diabetes, but they fail to consider the psychological or interpersonal aspects of diabetes management. Psycho-educational approaches are found to be effective in reducing diabetes distress while also improving HbA1c. Certain limitations in the current literature are discussed, along with future directions. Of utmost importance is the need for health practitioners, irrespective of background, to demonstrate an understanding of diabetes distress and actively engage in discussion with individuals struggling to cope with diabetes; to normalize this and integrate it into routine diabetes practice.

Impacto do fator emocional quando da recuperação de informação da home page do Departamento de Doenças Sexualmente Transmissíveis, AIDS e Hepatites Virais da Secretaria de Vigilância em Saúde do Ministério da Saúde/

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Ciência da Informação, Programa de Pós-Graduação em Ciência da Informação, 2016.