Miracle-dz/UniFAR-FTUs huggingface dataset:
Black Caribbean men, sexual health decisions and silences

Sexual health behaviour and the choices people make are influenced by whole range of factors including social grouping, education, peer pressure and access to services/information. Report on the health of the public in Britain have shown that sexual ill health is unequally distributed across society (Department of Health 2001; Royal College of Nursing 2001). people from socially disadvantaged and marginalised groups experience the highest levels of sexually related illness. Quantitative studies form the main pool of information available in relation to sexual health and risk. They have demonstrated that in some areas of the country the infection rates for STI's are up to twelve times higher in men from black Caribbean communities (Fenton, Johnson et al. 1997; Lacey, Merrick et al. 1997; Low, Daker-White et al. 1997). At present there is very little published qualitative information on the factors affecting sexual health decisions, especially in relation to black Caribbean communities. The research study focuses on black Caribbean men. A qualitative approach is used to identify and explore the key factors influencing the health decisions and risk activities of black Caribbean men in relation to sexual health. Social construction theory provides the theoretical underpinning for this study alongside aspects of feminism, criticalist and ethnicities based approaches. The stereotype of black Caribbean men as sexually insatiable and irresponsible emerged as a key feature of the social scripts associated with their sexual behaviour. The themes 'The nature of the stereotype', 'Living with the stereotype' and 'Hearing the silences' discussed in the data chapters explore the impact of the stereotype on the sexual health decisions of black Caribbean men. The experiences highlighted through the themes expose the importance of the political, social and personal context associated with specific sexual scripts on the sexual health decisions of black Caribbean men. Of key importance in these socially determined scripts are the screaming silences contained within them. The findings are reviewed in the light of current sexual health policies to consider how sexual health services and professionals can best provide for the sexual health needs of black Caribbean men. The thesis adds to current knowledge in sexual health and ethnicities in concluding that the sexual health decisions of black Caribbean men take pace in the context of the real or imagined expectations that society has of them. Individuals sexual decisions therefore occur in light of shared and personal appraisal of socially determined relevant issues. This forms the context in which sexual scripts are given meaning and sexual decisions take place. The study compliments the established pool of quantitative data available linking issues of sexual health and ethnicity in Britain. The findings presented within the thesis reveal a range of issues to initiate further qualitative research in the area and provides a lead for British based thinking on adult sexual health decisions and ethnicity.
A bounded error estimation approach to image reconstruction

A bounded error (BE) approach to image reconstruction is investigated. In this approach a bound on the measured projections errors is specified and the set of images which is consistent with both the data and the error bound is constructed. The error bound can account for both statistical noise uncertainty, e.g., due to randoms correction or other Poisson-destructive preprocessing, and model uncertainty, e.g., due to a mismodeled or uncalibrated system matrix. The consistent set of images is a set estimate of the image from which point estimates, i.e., image reconstructions can be selected. <<ETX>>
The serpent of Aesculapius, the confraternity of Ss. Cosmas and Damian and the Bishop of Malta

In the Middle Ages it was the usage for artisans engaged in a particular craft or art to combine together to form confraternities and corporations under the aegis of the church. The former were associations aiming at fostering religious piety among their members and assisting them when sick or unemployed; the corporations were guilds concerned with the promotion of a high standard of worksmanship among their craftsmen, the proper training of apprentices and the protection of the economic interests of their members. In Malta these associations emerged into prominence in the early seventeenth century. The confraternities (called also sodalities and consodalities) and corporations bore the name of the tutelary saint of their craft; thus the carpenters formed the confraternity of st. J oseph, the jewellers that of St. Relen and the shoemakers that of st. Crispin. Their meeting place was usually the sacristy or oratory of the church where their patron saint was venerated (Cassar, 1965a). The medical practitioners and surgeons of Malta were organised in a confraternity named after the protective saints of the profession Saints Cosmas and Damian. This confraternity, founded on the 10th October 1635, was also known as the universitas barbitonsorum (Cagliola, 1644), the reason being that the physicians and surgeons shared the membership of this association with the barbers as, in those days, the latter were ancillary assistants to doctors and surgeons being entrusted with the application of leeches, the extraction of teeth and bloodletting.
Thalamocortical Connection Topography Mapping in Human by Co-clustering

Connection topography mapping is crucial for understanding how information is processed in the brain, which is an essential precursor for revealing principles of brain organization. However, existing connectopic mapping methods are dependent on prior knowledge, or not completely driven by data. Accordingly, the constructed connection topographies by these methods are biased towards hypotheses, or deviate from data. For these challenges, we propose a novel co-clustering based method for connection topography mapping in a fully data-driven manner. The proposed method aims to construct the connection topography between two ROIs of a certain neural circuit in consideration by leveraging the power of co-clustering. More precisely, the proposed method parcellates one ROI into subregions and identified their respective connected subregions from the other ROI simultaneously. The effectiveness of our method was validated on the mapping of the human thalamocortical system for 57 subjects based on their resting state fMRI data. The validation experiment results have demonstrated that our method can construct neurobiologically meaningful thalamocortical connection topography. Compared with existing methods, our method yields more meaningful and interpretable connection topography.
La epidemiología genética: disciplina científica en expansión

La epidemiologia genetica es una disciplina relativamente reciente que estudia la interaccion entre los factores geneticos y ambientales que dan origen a las enfermedades del ser humano. Valiendose de marcadores geneticos desarrollados a traves de la biologia molecular, de complejos algoritmos almacenados en computadoras y de amplias bases de datos, la epidemiologia genetica se ha desarrollado notablemente durante los ultimos 10 anos. El presente articulo describe los objetivos de la epidemiologia genetica y su metodologia, empleando ejemplos concretos tomados de la literatura cientifica reciente
Adaptive fuzzy logic depth controller for variable buoyancy system of autonomous underwater vehicles

This paper presents an adaptive fuzzy logic controller for the variable buoyancy system (VBS) of an autonomous underwater vehicle (AUV). The control structure includes a fuzzy large range depth controller (LRDC) and a fuzzy small range depth controller (SRDC). The depth controllers bring the AUV to a desired depth by decreasing buoyancy, then descending to the desired depth and then restoring neutral buoyancy. Fuzzy rules adaptively determine the critical depth points for ballast adjustment based on a key parameter of the AUV dynamic model. This paper gives an explanation of the fuzzy rule base for the LRDC and presents preliminary simulation results of the LRDC. <<ETX>>
Higher order operational techniques in semantics

Introduction 1. Operational reasoning about primitive objects A. Gordon 2. Semantics for core concurrent ML with computation types A. Jeffrey 3. Relational reasoning about contexts S. B. Lassen 4. Labelling techniques and typed fixed-point operators J. Mitchell, M. Hoang and B. T. Howard 5. Semantics of memory management for plymorphic languages G. Morrisett and R. Harper 6. Operational reasoning for functional languages with local state A. Pitts, I. Stark 7. Improvement theory and its applications D. Sands 8. The coverage of operational semantics S. F. Smith 9. Reasoning about functions with effects C. Talcott.
Classifying Multivariate ElectrocorticographicSignal Patterns from different sessions

In the field of Brain-Computer Interfaces (BCI) there is aproblem called the inter-session problem, generally causinga decrease in classification performance between sessions.This study investigates the extent of this problemin Electrocorticographic (ECoG) data, and how it may beapproached using classification and feature selection algorithms.The focus regarding classification is whether linearor nonlinear classification methods generalizes better, andthe focus of feature selection is whether filter or wrappermethods improve generalization more. These questions areanswered by empirical experiments on two sets of ECoGdata collected over two different sessions.The inter-session problem in ECoG data proved to be ofconsiderable size. Classification performance dropped from78-91% on the training data set (using cross validation)to 70-80% on the tests. Better normalizations and scalingmethods were deemed necessary to help reduce this drop.The results were inconclusive as to linear or nonlinearclassifier generalization, since performance was nearlyidentical. Due to their simplicity, linear methods would bepreferable in this case. As to feature selection, the risksof overfitting became apparent using Simulated Annealing(SA) wrapper methods. Simpler feature selection algorithmsthat were less prone to overfitting, both filter andwrapper methods, helped to improve generalization more.
Fragmenting soviet mythologies: romantic imagery and musical films in Ukraine

Abstract Fragmenting Soviet mythologies romantic imagery and musical films in UkraineFrom 1957 a big debate about romanticism was relaunched in the USSR, within which the issues of individuality, romantic feelings or relations between personal and social (or the state) were discussed. At the same time, in 1957, a huge television studio was built on the far Western margins of the USSR, which aimed at connecting the remote territories with the heart of the Soviet Union. Ten years after television arrived in Western Ukraine, from 1968 to 1971, Lviv Television Studio in cooperation with other Soviet Ukrainian studios, produced several musical films, which combined Carpathian highland landscapes with current sounds of the local Estrada. In the context of Soviet romanticism, they resembled media fairy tales and their plots intended to fragment previous tropes of Stalinist musicals.
A Semi-supervised Approach for Opinion Mining using Online Product Review

The growth of the internet as a secure online shopping channel has developed since 1994. With the Increasing number of e-commerce portal, we are now heavily inclined to online shopping. One of the benefits of online shopping is the ability to read reviews about the product purchased. This paper presents a semi-supervised approach for opinion mining using online product reviews obtained from Amazon website. A semi-supervised model regards identifying opinion relation as an alignment process and gives more precision in comparison to unsupervised model. Opinion mining of online reviews is needed for first-hand assessments of product information and direct supervision of their purchase actions. Manufacturers can obtain immediate feedback and opportunities to improve the quality of their products in a timely fashion.
Informed consent in HIV prevention trials: report of an international workshop. 16-18 May 2005 New York City. Cohosted by Population Council Family Health International.

This report captures the main topics discussed at the workshop. The first section reviews the historical and regulatory foundations of informed consent. The next section touches on several among myriad factors that influence informed consent: contextual issues; risk perception and decision-making; compensation; and autonomy especially with regard to womens participation in clinical trials. A related discussion follows concerning the central role that communities can play in informing research processes as well as influencing individual decisions. The main section of the report explores a range of practical issues related to developing and using tools to enhance the informed consent process and is followed by a discussion of how best to assess the effect that all these efforts have on participants comprehension. These sections in particular incorporate examples from completed and existing clinical trials to illustrate concrete opportunities and challenges associated with this process. The final section reviews results and strategies for evaluating informed consent processes. The report ends with recommendations for further consultation and research on this issue. (excerpt)
Application of Video Sensor Networks in Traffic Surveillance

This paper proposes a new data link routing protocol, which realizes more efficient transmitting of video information and meets the requirement of traffic organization and data collection. It takes the traffic circumstance into consideration and synthesizes the two classic protocols, LEACH and PEGASIS. In order to realize the visual management of the traffic network, we allocate sensors along the roads, so as to introduce a link configuration. We also consider the usage of cluster for time saving. This paper focuses on the comparison of the three protocols, LEACH, PEGASIS and the newly proposed algorithm. The simulation results indicate that our algorithm is much better than LEACH in power consumption and smarter than PEGASIS in network latency. Furthermore, the data collected by applying this protocol are the most suitable for the further work in ITS data analysis
Motion Compensated Continuous Blood Pressure Measurements Using Recurrent Neural Networks

High blood pressure (BP) is the leading cause of death and disability in the world, affecting nearly 1.5 billion adults. It leads to many complications, including stroke, heart failure, kidney disease, and coronary disease. In current clinical practice, BP is measured either invasively by an intra-arterial catheter that is invasive and causes pain or non-invasively by cuff using the oscillometric method, which does not allow continuous BP measurement. Therefore, development of an accurate, continuous, and non-invasive BP measurement method is needed for hypertension diagnosis and management. Prediction models based on pulse transit time (PTT) have been used for continuous and non-invasive BP estimation. PTT has been reported to be highly correlated with BP, which makes PTT a good candidate to be used for continuous BP monitoring, including for continuous ambulatory monitoring. PTT can be defined as the time lag between the R-peak of the ECG signal and the peak of the blood oxygenation signal (PPG) signal, when measured within the same cardiac cycle. In this study, windowed cross-correlation between the adjacent peak points of ECG and PPG signals in the same cardiac cycle is used to compute PTT automatically. We have performed sparsification of PPG signal by computing a moving window maximum on that signal. This pre-processing converts the PPG signal into a very sparse signal that ultimately increased the accuracy and the efficiency of PTT calculation. We then use a linear regression model to calculate BP continuously from PTT measurement where unknown constants of that model are subject dependent and must be calibrated. To improve the classical PTT-based prediction during motion, along with the ECG and the PPG signals, for the first time to our knowledge, we use
Progression in Measuring.

Abstract The Progression in Learning Science and Mathematics Project was set up to investigate to what extent progression in learning can be described in terms of a common framework for all pupils. Other aspects of the assumptions made by the structure of ten age‐independent levels adopted for national assessment in England and Wales were also studied, in particular differing rates of learning and the relation of age to progression. The degree of dependency of progression in learning on teaching formed a subsidiary part of the design. While the study focused on areas in both science (forces) and mathematics (measurement), only the measurement results, relating to both length and weight, are reported in this paper. The research design was that of a cross‐sectional study, with common practical tasks given in interview to a sample of pupils in each of years 2, 4, 6 and 7/8. There was a small longitudinal element in that pupils were re‐interviewed after an interval of 3 months, during which time a planned tea.
A multi-dimensional entropy model of jazz improvisation for music information retrieval.

Jazz improvisation provides a case context for examining information in music; entropy provides a means for representing music for retrieval. Entropy measures are shown to distinguish between different improvisations on the same theme, thus demonstrating their potential for representing jazz information for analysis and retrieval. The calculated entropy measures are calibrated against human representation by means of a case study of an advanced jazz improvisation course, in which synonyms for "entropy" are frequently used by the instructor. The data sets are examined for insights in music information retrieval, music information behavior, and music representation.
Stroke self-management: what does good nursing support look like?

Nurses play a pivotal role in stroke self-management, yet there is a gap in our understanding of the perspectives of, and challenges faced, by stroke nurses in relation to the development, implementation and effect of stroke self-management support services. This article describes the qualitative findings from a recent study that aimed to develop, pilot and evaluate a nurse-led, person-centred stroke self-management support intervention. The findings may help inform the future design and delivery of such support, and will increase understanding of the issues and challenges that nurses face in delivering it in clinical practice.
xPMP : UML-based High-Level Modeling of Policy-Driven Management Applications

The Unified Modeling Language becomes popular to specify, visualize, construct, and document software-intensive systems, especially in supporting the design phase of software engineering. Most of designs in UML have focused on firm designing of software system structure. Recently, some researches have raised additional demands in many emerging complex software systems, such as aspect-oriented design. In this paper, we work on the dynamic aspect of policy-driven architecture. We present a UML-based high-level modeling of policy-driven management which is applicable in various application domains. In order to manage a number of activities of applications, dynamics and flexibility should be supported with policies consistently on different resources in the same context. Thus, a methodology of meta-modeling to represent dynamic aspects of policy-driven architecture is studied. Based on our methodology, we could achieve meta-modeling to develop a number of policy-driven management applications.
Estudio Cualitativo sobre el Comportamiento del Consumidor en las Compras en Línea

espanolSe estudia las caracteristicas principales del comportamiento del consumidor en plataformas de compra en linea en el estado sur de Sonora. Esto se hace mediante un estudio cualitativo basado en la metodologia de la Teoria Fundamentada. La idea principal es identificar y categorizar variables sobre la compra en linea basandose en factores relevantes como la motivacion de compra, preferencias, habitos de consumo y patrones de compra. Para llevar a cabo el estudio, se realizaron entrevistas semi-estructuradas a consumidores del estado sur de Sonora, Mexico, con experiencia en compras en linea. De esta manera, al concluir el analisis, se obtuvieron tres categorias principales: motivacion de compra, experiencias del consumidor y comportamiento. Tambien se identificaron una serie de variables que tienen mayor influencia en las preferencias, decision de compra y el patron de compra en los consumidores. Los resultados obtenidos proporcionan informacion de utilidad para la creacion de estrategias que permitan tomar decisiones efectivas mediante su aplicacion en el diseno de plataformas en linea ofreciendo un servicio personalizado a los consumidores. EnglishThe main characteristics of consumer behavior in online shopping platforms at Sonora, Mexico have been studied. A qualitative study based on the methodology of Fundamental Theory is used to identify and categorize variables about online purchases based on relevant factors such as purchase motivation, preferences, consumption habits and purchasing patterns. Semi-structured interviews to consumers with experience in online purchases were conducted. In this way, three main categories were obtained: purchase motivation, consumer experiences and behavior. Also, some variables with a greater influence on preferences, purchase decision and consumer purchase pattern were identified. The obtained results provide useful information for strategies planning that allow making effective decisions using them in the design of online platforms with a personalized service to consumers.
The nursing process : a global concept

Contributors. Foreword by Barbara Parfitt. Acknowledgement. Chapter 1 - The Nursing Process: globalization of a nursing concept (Leana Uys and Monika Habermann). Chapter 2 - Opening new discourses in nursing: the history of the Nursing Process in the UK (Daniel Kelly). Chapter 3 - The Nursing Process: nursing discourse and managerial technologies (Niels Buus and Michael Traynor). Chapter 4 - The Nursing Process in UK mental health care: application to a field of nursing (Martin F. Ward). Chapter 5 - The Nursing Process and information technology (Elske Ammenwerth). Chapter 6 - The Nursing Process: core of nursing? A Finnish perspective (Maritta Valimaki and Marja Kaunonen). Chapter 7 - The Nursing Process: developments and issues in Germany (Monika Habermann). Chapter 8 - The Nursing Process in Australia (Bev Taylor and Chris Game). Chapter 9 - The Nursing Process in South Africa (Leana Uys). Chapter 10 - The neursing Process in the Caribbean (Hermi Hewitt). Chapter 11 - The Nursing Process in the Czech Republic (Alena Mellanova). Chapter 12 - The Nursing Process worldwide: what is the future? (Barbara Stevens Barnum). Index.
: Increasing the efficiency of variance component QTL analysis by using reduced rank IBD matrices

Recent technological development in genetics has made large-scale marker genotyping fast and practicable, facilitating studies for detection of QTL in large general pedigrees. We developed a method that speeds up REML algorithms for QTL analysis by simplifying the inversion of the variance-covariance matrix of the trait vector. The method was tested in an experimental chicken pedigree including 767 phenotyped individuals and 14 genotyped markers on chicken chromosome 1. The computation time in a chromosome scan covering 475 cM was reduced by 43% when the analysis was based on linkage only and by 72% when linkage disequilibrium information was included. The relative advantage of using our method increases with pedigree size, marker density, and linkage disequilibrium, indicating even greater improvements in the future.