14 research outputs found

    Teenagers in Hospitals: Are they the forgotten age?

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    When a child is particularly unwell, they are likely to be admitted to hospital and they will be treated in a paediatric ward or outpatient department. During this admission, children will be looked after by trained and qualified paediatric staff. As for adults, they will be admitted to a specific or specialised adult unit, and this will be staffed with trained and qualified adult nurses, doctors, physiotherapists, dieticians, etc. However, if you are a teenager/adolescent where do you go? This chapter will explore how young people need the opportunity to access a ward or unit with professionals who understand them and the importance of this because why should it be any different for teenagers

    Teenagers in Hospital

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    This chapter is structured around a question-and-answer session between a young lady who spent time in hospital as a teenager and her youth support coordinator, examining the perspective of both sides … the patient (Sarah), and a member of staff (Nicky). Sarah shares her experience and journey through her treatment and what it was like as a teenager undergoing chemotherapy and an amputation. While Nicky explores her role as a youth support coordinator and how support is put in place for young people, because sometimes young people are just too scared to ask or do not know how

    Introduction

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    This chapter serves as an Introduction to the book. It includes a reflection on the significance of play in a child’s life, especially their time in a healthcare setting. Play may be used to prepare a child for a medical procedure and as a distraction during such interventions. It may also be offered as a normalising function, especially where a child is likely to be in hospital for an extended period. The chapter also includes a brief preview of the chapters to be found in the book. It culminates in a plea for hospital authprities to take the child’s right to play seriously

    A-générateurs génériques pour l'algèbre polynomiale

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    AbstractNous résolvons génériquement le problème “hit” (posé en 1986 par Franklin P. Peterson) par la découverte en degrés génériques d'un système générateur minimal explicite pour l'algèbre polynomiale comme module sur l'algèbre de Steenrod mod 2. Cette solution implique en particulier un résultat de J. Repka–P. Selick, une partie de celui de M. C. Crabb–J. R. Hubbuck et nous permet en même temps de vérifier une conjecture due à M. Kameko. Ce système générateur sera appliqué à l’étude du transfert algébrique de W. M. Singer et de la représentation modulaire du groupe linéaire général

    Stable splittings of ΩSU(n)

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    Stable summands of<i>U(n)</i>

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    SynopsisThe special unitary groupSU(n)has the stable homotopy type of a wedge ofn− 1 finite complexes. The ‘first’ of these complexes is ΣℂPn–1, which is well known to be indecomposable at the prime 2 whethernis finite or infinite. We show that the ‘second’ finite complex is again indecomposable at the prime 2 whennis finite, but splits into a wedge of two pieces whennis infinite.</jats:p

    Fields of spaces

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    Ethnic Discrimination in the Greek Labour Market: Occupational Access, Insurance Coverage, and Wage Offers

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    The paper investigates whether low skilled male Albanians face unequal treatment in the Greek labour market, two years after the national adoption of the European anti-discrimination employment legislation. By means of a Correspondence Test we have estimated that Albanians face 43.5% net discrimination of access to occupations. Concentrating on the equal chance cases, we subsequently found that Albanians face 36.5% less chance of being registered with insurance coverage, while their potential wage contracts are on the average 8.8% below those of Greeks, and 5.3% below the legal minimum wage. As it comes to the reasons for wage discrimination, using an indirect approach we interestingly found that the employers themselves “put the blame” on profit strategies (84.4%), on statistical discrimination (9.6%), and on taste discrimination (7.8%).Field Experiment, Ethnic Discrimination., Hiring Discrimination, Insurance Coverage, Wage Inequality
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