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Love, Fear, and Health
Using attachment theory, Maunder and Hunter provide a practical,
clinically focused introduction to the influence of attachment
styles on an individual's risk of disease and the effectiveness of
their interactions with health care providers.
eBook
Object relations and social relations
This book has two essential aims. First, to introduce some of the key assumptions behind relational psychoanalysis to an international audience and to outline the points where this approach counters, complements, or extends existing object relations (Kleinian and Independent) traditions. Second, to consider some of the implications of the relational turn for the application of psychoanalytic concepts and methods beyond the consulting room. The emergence of what has become known as the relational turn in psychoanalysis has interesting implications not just for clinical practice, but for other psychoanalytically informed practices, such as group relations, the human service professions, and social research. Relational forms of psychoanalysis have emerged primarily in the USA, and as a result their core concepts and methods are less well-known in other countries, including the UK. Moreover, even within the USA, few attempts have so far been made to consider the wider implications of this development for social and political theory; intervention in groups and organizations, and the practice of social research. As with all new developments, there is a tendency to deal with them in one of two ways: either to insist that there is nothing new about them and that existing practices already include their implied critique, or to sharpen and exaggerate the difference, thereby construing the new arrival as something that is a counter, rather than an extension and complement, to what already exists.
eBook
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real object changes. Exploring the relationships among different spatial–temporal pixels may improve the performances of CD methods. In our work, we propose a novel Siamese-based spatial–temporal attention neural network. In contrast to previous methods that separately encode the bitemporal images without referring to any useful spatial–temporal dependency, we design a CD self-attention mechanism to model the spatial–temporal relationships. We integrate a new CD self-attention module in the procedure of feature extraction. Our self-attention module calculates the attention weights between any two pixels at different times and positions and uses them to generate more discriminative features. Considering that the object may have different scales, we partition the image into multi-scale subregions and introduce the self-attention in each subregion. In this way, we could capture spatial–temporal dependencies at various scales, thereby generating better representations to accommodate objects of various sizes. We also introduce a CD dataset LEVIR-CD, which is two orders of magnitude larger than other public datasets of this field. LEVIR-CD consists of a large set of bitemporal Google Earth images, with 637 image pairs (1024 × 1024) and over 31 k independently labeled change instances. Our proposed attention module improves the F1-score of our baseline model from 83.9 to 87.3 with acceptable computational overhead. Experimental results on a public remote sensing image CD dataset show our method outperforms several other state-of-the-art methods.
Journal Article
Addicted to drama : healing dependency on crisis and chaos in yourself and others
\"Clinical psychologist and mind-body expert Dr. Scott Lyons unpacks \"drama addiction\" with scientific insight, compassion, and empathy, providing strategies to identify and heal Many of us know someone who seems to thrive on chaos, a person who manufactures crisis where there is none. A person who makes mountains out of molehills, and whose very presence feels like an inescapable whirlwind. We may even label them a \"drama queen.\" But Dr. Scott Lyons shows us that these people are experiencing a much deeper psychological, biological, and social pain, and how drama becomes their medicine. Crisis and chaos becomes their new normal, stress levels are chronically high, and the moment those start to drop towards relaxation, an internal alarm of danger sounds, and the cycle of drama returns to maintain control and balance. With studies, primary research, and patient stories, Dr. Lyons deconstructs drama addiction, sharing: what drama addiction is and what it is not how to identify patterns of drama addiction in yourself and others the physical, psychological, and social effects of drama addiction (chronic fatigue, autoimmune disease, joint and muscle pains, social isolation, and other conditions) where it emerges from, and how we are heading towards a global pandemic of drama addiction steps for coping and recovery With clear-eyed empathy, humor, and accessible practices, Dr. Lyons helps readers understand and break free of the drama cycle\"-- Provided by publisher.
Book
Corporate Political Strategies in Weak Institutional Environments: A Break from Conventions
There is a lack of research about the political strategies used by firms in emerging countries, mainly because the literature often assumes that Western-oriented corporate political activity (CPA) has universal application. Drawing on resourcedependency logics, we explore why and how firms orchestrate CPA in the institutionally challenging context of Nigeria. Our findings show that firms deploy four context-fitting but ethically suspect political strategies: affective, financial, pseudoattribution and kinship strategies. We leverage this understanding to contribute to CPA in emerging countries by arguing that corporate political strategies are shaped by the reciprocity and duality of dependency relationships between firms and politicians, and also by advancing that these strategies reflect institutional weaknesses and unique industry-level opportunities. Importantly, we shed light on the muttered dark side of CPA. We develop a CPA framework and discuss the research, practical and policy implications of our findings.
Journal Article
The Routledge handbook of attachment : assessment
\"The Routledge Handbook of Attachment: Assessment provides, in one volume, a detailed discussion of the formal measurement tools available to assess attachment across the age range, including with families. It contains comprehensive chapters on many attachment-based validated procedures for assessing parenting and evaluating risk, to enable professionals to decide what type of assessment is appropriate, who should conduct it and the usefulness of the results. The book provides a detailed account of assessment measures of attachment to enable practitioners at all levels (including academic research workers) to decide which assessment procedure will best meet their need. The chapters are written by those who developed these tools and by people closely associated with them, and advocate an evidence-based model of assessment to increase fairness and transparency for families.Providing a practical guide to the uses of attachment theory and research in professional practice with adults, children, parents and families, and a detailed account of all the current evidence-based tools that can be used in assessment, The Routledge Handbook of Attachment: Assessment is ideal for professionals and clinicians wishing to commission or undertake assessments of attachment, as well as academic research workers and students. \"-- Provided by publisher.
Book
Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
Abstract-Combining individual p-values to aggregate multiple small effects has a long-standing interest in statistics, dating back to the classic Fisher's combination test. In modern large-scale data analysis, correlation and sparsity are common features and efficient computation is a necessary requirement for dealing with massive data. To overcome these challenges, we propose a new test that takes advantage of the Cauchy distribution. Our test statistic has a simple form and is defined as a weighted sum of Cauchy transformation of individual p-values. We prove a nonasymptotic result that the tail of the null distribution of our proposed test statistic can be well approximated by a Cauchy distribution under arbitrary dependency structures. Based on this theoretical result, the p-value calculation of our proposed test is not only accurate, but also as simple as the classic z-test or t-test, making our test well suited for analyzing massive data. We further show that the power of the proposed test is asymptotically optimal in a strong sparsity setting. Extensive simulations demonstrate that the proposed test has both strong power against sparse alternatives and a good accuracy with respect to p-value calculations, especially for very small p-values. The proposed test has also been applied to a genome-wide association study of Crohn's disease and compared with several existing tests.
Supplementary materials
for this article are available online.
Journal Article