Robert Hale – författare

'Perversion is taken to mean different things within psychoanalytic discourse. In this book the authors view perversions, not in terms of specific behaviours, but as a type of blueprint for object relations. While perversions may involve a quest for excitement through sex, drugs or gambling, for example, the focus here is on the underlying incapaci

This chapter, written by a psychiatrist working with people with severe and complex addictions, sets the scene. We are provided with a graphic account of the multiple problems—physical, psychological, social, financial—of someone with severe drug addiction, where sex working and the risks of pregnancy, infection, and assault compound an already challenging presentation. The personal history of trauma and abuse means that the patient requires highly skilled and sensitive management, and adaptations in service provision—such as no morning appointments—that respect the individual’s lifestyle. The conflict for professionals is encapsulated in a brief description of the responses of Vanessa Crawford’s patient group when asked what messages they would like to be conveyed to future doctors: don’t prejudge us, treat us as individuals, give us proper pain control—and “don’t trust us”. Implicit in this is the recognition that they are in the grip of something that leads them to deceive, probably themselves, but also others—a wish to pervert a relationship to someone who is trying to help. Crawford conveys the importance of being knowledgeable, but not omniscient; of helping the individual to overcome the barrier of shame, which may lead to information being withheld; and the crucial contribution of a collaborative and coherent staff team in containing such challenging patients and in helping them to turn a corner towards recovery.

This chapter, written by a psychiatrist working with people with severe and complex addictions, sets the scene. We are provided with a graphic account of the multiple problems—physical, psychological, social, financial—of someone with severe drug addiction, where sex working and the risks of pregnancy, infection, and assault compound an already challenging presentation. The personal history of trauma and abuse means that the patient requires highly skilled and sensitive management, and adaptations in service provision—such as no morning appointments—that respect the individual’s lifestyle. The conflict for professionals is encapsulated in a brief description of the responses of Vanessa Crawford’s patient group when asked what messages they would like to be conveyed to future doctors: don’t prejudge us, treat us as individuals, give us proper pain control—and “don’t trust us”. Implicit in this is the recognition that they are in the grip of something that leads them to deceive, probably themselves, but also others—a wish to pervert a relationship to someone who is trying to help. Crawford conveys the importance of being knowledgeable, but not omniscient; of helping the individual to overcome the barrier of shame, which may lead to information being withheld; and the crucial contribution of a collaborative and coherent staff team in containing such challenging patients and in helping them to turn a corner towards recovery.

Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book. This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation.Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis.Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.

Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book.

This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation.

Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis.

Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.

Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book.

This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation.

Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis.

Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.

'Perversion is taken to mean different things within psychoanalytic discourse. In this book the authors view perversions, not in terms of specific behaviours, but as a type of blueprint for object relations. While perversions may involve a quest for excitement through sex, drugs or gambling, for example, the focus here is on the underlying incapacity - or indeed at times refusal - to relate to the other as separate from the self and not as a narcissistic appendage. It is the anxieties aroused by intimacy and relatedness that drive the pursuit of ecstasy and excitement. Psychoanalytic thinking can help multidisciplinary teams to stand back and respond to the addictive state of mind in humane and containing ways that are not collusive. This book thus provides rich food for thought not only for the individual practitioner but also for those responsible for shaping services for addicted individuals.' - Alessandra Lemma, from the Preface.