The effective communication of science through language, including reading, writing, listening, speaking, and visual representation, is an essential part of scientific learning, understanding, and practice. Language is the medium by which scientific reasoning occurs, whether be it formal language or symbolic representations of scientific phenomena. Sustainable Language Support Practices in Science Education: Technologies and Solutions presents cases on the results of a study done in Australia on first-year university students and the impact of new techniques of language acquisition on science education. The project covered biology, chemistry, and physics. Nearly 3,400 students were involved in the project, drawn from the University of Canberra, the University of Technology-Sydney, the University of Sydney, the University of Tasmania, and the University of Newcastle in Australia. This book serves as the latest research available on meta-cognitive assessment and language needs for a diverse student body; it is a vital resource for academics and practitioners designing and implementing science education around the world today.

Available Open Access under CC-BY-NC licence. The need to stop rape is pressing and, since it is the outcome of a wide range of practices and institutions in society, so too must the policies be to stop it This important book offers a comprehensive guide to the international policies developed to stop rape , together with case study examples on how they work. The book engages with the law and criminal justice system, health services, specialised services for victim-survivors, educational and cultural interventions, as well as how they can best be coordinated. It is informed by theory and evidence drawn from scholarship and practice from around the world. The book will be of interest to a global readership of students, practitioners and policy makers as well as anyone who wants to know how rape can be stopped.

Available Open Access under CC-BY-NC licence. The extent of violence against women is currently hidden. How should violence be measured? How should research and new ways of thinking about violence improve its measurement? Could improved measurement change policy? The book is a guide to how the measurement of violence can be best achieved. It shows how to make femicide, rape, domestic violence, and FGM visible in official statistics. It offers practical guidance on definitions, indicators and coordination mechanisms. It reflects on theoretical debates on 'what is gender', 'what is violence', and 'the concept of coercive control'. and introduces the concept of 'gender saturated context'. Analysing the socially constructed nature of statistics and the links between knowledge and power, it sets new standards and guidelines to influence the measurement of violence in the coming decades.

This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.

This volume consists of the published proceedings of the GLIM 95 Conference, held at Lancaster University, UK, from 16-19 September 1995. This is the second of such proceedings, the first of which was published as No 14 of the Springer-Verlag Lecture Notes in Statistics (Gilchrist, ed,1992). Since the 1992 conference there has been a modest update of the GLIM system, called GLIM 3.77. This incorporates some minor but pleasant enhancements and these are outlined in these proceedings by payne and Webb. With the completion of GLIM 3.77, future developments of the GLIM system are again under active review. Aitkin surveys possible directions for GLIM. one sOlMlWhat different avenue for analysing generalized linear models is provided by the GENSTAT system; Lane and payne discuss the new interactive facilities p ided by version 5 of GENSTAT. On the theory Side, NeIder extends the concept and use of quasi-likelihood, giving useful forms of variance function and a method of introducing a random element into the linear predictor. Longford discusses one approach to the analysis of clustered observations (subjects within groups). Green and Yandell introduce 'semi-parametric modelling', allowing a compromise between parametriC and non-parametriC modelling. They modify the linear predictor by the addition of a ( smooth) curve, and estimate parameters by maximising a penalised log-likelihood. Hastie and Tibshirani introduce generalized additive models, introducing a linear predictor of the form 11 = (X + Efj(xj), with the fj estimated from the data by a weighted average of neighbouring observations.

In 1968 two boys are born into a large family, both named for their grandfather, Peter Henry Hightower. One boy--Peter--grows up in Africa and ends up a journalist in Granada. The other--Petey--becomes a minor criminal, first in Cleveland and then in Kiev. In 1995, Petey runs afoul of his associates and disappears. But the criminals, bent on revenge, track down the wrong cousin, and the Peter in Granada finds himself on the run. He bounces from one family member to the next, piecing together his cousin's involvement in international crime while learning the truth about his family's complicated history. Along the way the original Peter Henry Hightower's story is revealed, until it catches up with that of his children, revealing how Peter and Petey have been living in their grandfather's shadow all along.
The novel takes a look at capitalism and organized crime in the 20th century, the legend of the self-made man, and what money can do to people. Like Jeffrey Eugenides' "Middlesex, The Family Hightower" stretches across both generations and continents, bearing the weight of family secrets and the inevitable personal toll they take on loved ones despite our best intentions.

The study of criminal careers is of increasing interest in criminology. It is now generally recognised that it is important to try to understand criminal behaviour across the life-course rather than focusing on fragmented incidents which provide only a partial picture. This is an accessible text which clarifies the crucial theoretical and methodological debates surrounding the study of criminal careers.

It focuses on some major longitudinal studies discussing the onset, persistence, desistance and the duration of a criminal career. The important topics of prediction, risk and specialisation are addressed. The challenging question of 'When do ex-offenders become like non-offenders?' points a way forward. The book concludes by proposing an even more ambitious approach to the topic of criminal careers.

The study of criminal careers is of increasing interest in criminology. It is now generally recognised that it is important to try to understand criminal behaviour across the life-course rather than focusing on fragmented incidents which provide only a partial picture. This is an accessible text which clarifies the crucial theoretical and methodological debates surrounding the study of criminal careers.

It focuses on some major longitudinal studies discussing the onset, persistence, desistance and the duration of a criminal career. The important topics of prediction, risk and specialisation are addressed. The challenging question of 'When do ex-offenders become like non-offenders?' points a way forward. The book concludes by proposing an even more ambitious approach to the topic of criminal careers.

R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so the R edition can be substantially more comprehensive than the GLIM4 edition. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.

The election of Donald Trump was a shattering moment to the political sensibilities of America; immediately sending the country into a frenzy of commentary, critique, and a never-ending media coverage that has bordered on the absurd. But the question still remains: what does it all mean? The Meaning of Trump is an ideological critique that sees the election of Donald Trump as a completely natural progression to the general trajectory of digitized technologies, neoliberalism, and a new breed of financialized capitalism; destructive global forces that know no party affiliation or national boundary. Although Donald Trump is undoubtedly the symptom that has exploded to the surface after nearly four decades of failed policies and broken promises by both Republicans and Democrats alike, his election can also be seen as an existential fork in the road for both the United States and even humanity itself. What path is taken still remains to be seen.

R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so the R edition can be substantially more comprehensive than the GLIM4 edition of Statistical Modelling. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.

This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalised linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions. This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion.