To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The chapter will help you to be able to describe the developmental context of working with Children and Young People (CYP), assess and formulate using developmentally sensitive CBT theory, explain the evidence underpinning intervention with CYP and their families, adapt CBT for working with CYP and families at different ages (including considerations around neurodiversity).
Howard CH Khoe, National Psychiatry Residency Programme, Singapore,Cheryl WL Chang, National University Hospital, Singapore,Cyrus SH Ho, National University Hospital, Singapore
Question 1: Jenna is a 39-year-old woman brought in by her husband for excessive worrying. These symptoms started around two years ago. She worries about not paying her bills on time, being stuck in the lift, missing her medical appointments, and even the whereabouts of her five-year-old daughter. Her family describes her as a ‘worrier’ since young, but her anxiety seems to have worsened over the past two years. She has been feeling restless and having difficulties with sleep and concentration. Her work performance has suffered, and she was recently fired. What is your diagnosis?
Various biomolecular methods increasingly augment foundational methodologies for the study of pastoralism, including isotopic analyses, analyses of ancient human and animal DNA, identification of milk proteins, and residue analyses that identify animal carcass fat and milk fat. Although the results of biomolecular analyses can significantly expand the evidentiary basis for the archaeology of pastoralism and have in many ways revolutionized the field, they are not some sort of panacea that can easily solve all of the conceptual, interpretive, empirical, and disciplinary problems laid out in Chapter 1.
Since the turn of the twenty-first century, scholars and critics in Irish studies have been changing readers’ minds about the Irish Revival, which in the century before was largely associated with the Literary Revival, especially the Abbey Theatre and its directors, W. B. Yeats, Lady Augusta Gregory, and J. M. Synge. This new scholarship has been both revisionist and restorative; the literary revivalists have remained important but within a more expansive conception of the Revival, one that acknowledges the role of nationalist historiography and political and social activism in its development from the peak era (ca. 1890–1922) to the present. Lesser known figures, movements, texts, and practices have taken their place in the cultural history of the Revival. At the same time, new scholarship reveals patterns of consistency and continuity in Irish society and culture that are clearly indicative of a “latter-day” revivalism. As the contributors to The Revival in Irish Literature and Culture attest, the Irish Revival encompassed social and political as well as cultural spheres of Irish life; in fact, the early Literary Revival was more politically progressive than the traditional conception of it as a coterie dominated by an Anglo-Irish cultural elite.
Howard CH Khoe, National Psychiatry Residency Programme, Singapore,Cheryl WL Chang, National University Hospital, Singapore,Cyrus SH Ho, National University Hospital, Singapore
The introduction begins with the story of Domitila, a young campesina who escaped to the mountains at night to train for the coming insurrection. Guarding her secret, she endured beatings from her father, who accused her of promiscuity. After her father discovered the revolver hidden underneath her pillow, he affords her a form of respect that he had previously reserved for men. Through Domitila’s personal story, I explain the conditions that drove rural workers to organize, the dramatic rise of state repression against unarmed movements, the left’s radicalization, the subsequent formation of the insurgency, the outbreak of the civil war (1980–1992), women’s organizing in the guerrilla territories and in multiple countries abroad, and the postwar battles to remember an insurgent past. I also contextualize El Salvador within a regional and global Cold War history. After the major actors and temporal scope are identified, I explain how dominant narratives, many rooted in Cold War paradigms, have contributed to the erasure of revolutionary women within feminist histories. I offer an alternative framework and methodology – rooted in dialectical approaches, oral history, and movement archives – that takes seriously the political contributions of revolutionary women.
Howard CH Khoe, National Psychiatry Residency Programme, Singapore,Cheryl WL Chang, National University Hospital, Singapore,Cyrus SH Ho, National University Hospital, Singapore
This chapter establishes the foundation for network machine learning. We begin with network fundamentals: adjacency matrices, edge directionality, node loops, and edge weights. We then explore node-specific properties such as degree and path length, followed by network-wide metrics including density, clustering coefficients, and average path lengths. The chapter progresses to advanced matrix representations, notably degree matrices and various Laplacian forms, which are crucial for spectral analysis methods. We examine subnetworks and connected components, tools for focusing on relevant network structures. The latter half of the chapter delves into preprocessing techniques. We cover node pruning methods to manage outliers and low-degree nodes. Edge regularization techniques, including thresholding and sparsification, address issues in weighted and dense networks. Finally, we explore edge-weight rescaling methods such as z-score standardization and ranking-based approaches. Throughout, we emphasize practical applications, illustrating concepts with examples and code snippets. These preprocessing steps are vital for addressing noise, sparsity, and computational challenges in network data. By mastering these concepts and techniques, readers will be well-equipped to prepare network data for sophisticated machine learning tasks, setting the stage for the advanced methods presented in subsequent chapters.
The chapter will help you to be able to explain the six key questions that are answered by a good formulation, consider the purpose of formulation in shaping assessments and intervention, and create effective and idiosyncratic formulations and treatment plans for your own patients
This overview opens with the story of the great fire in Glarus, Switzerland, in 1861. Like those in other cities, the fire brought into clear view key elements of the insurance systems that modern societies needed to foster resilience. In its aftermath, the role of public authorities changed, reliance on new techniques for mobilizing private capital rose significantly, and the interaction of markets and states across established borders became deeper and more complex.
Howard CH Khoe, National Psychiatry Residency Programme, Singapore,Cheryl WL Chang, National University Hospital, Singapore,Cyrus SH Ho, National University Hospital, Singapore
Chapter 1 covers the topic of schizophrenia. Through a case vignette with topical MCQs for consolidation of learning, readers are brought through the management of a patient with schizophrenia from first presentation to subsequent complications of the conditions and its treatment. Things covered include the different forms of delusions, psychopathology, negative and positive symptoms of schizophrenia, co-morbid conditions, typical investigations carried out, the use of pharmacological treatment, adverse effects of commonly used medications, extrapyramidal side effects and treatment-resistant schizophrenia.