The face of John Wesley (1703–91), the Methodist leader, became one of the most familiar images in the English-speaking and transatlantic worlds through the late eighteenth and nineteenth centuries. After the dozen or so painted portraits made during his lifetime came numbers of posthumous portraits and moralising ‘scene paintings’, and hundreds of variations of prints. It was calculated that six million copies were produced of one print alone – an 1827 portrait by John Jackson R.A. as frontispiece for a hymn book. Illustrated by nearly one hundred images, many in colour, with a comprehensive appendix listing known Wesley images, this book offers a much-needed comprehensive and critical survey of one of the most influential religious and public figures of eighteenth-century Britain. Besides chapters on portraits from the life and after, scene paintings and prints, it explores aspects of Wesley’s (and Methodism’s) attitudes to art, and the personality cult which gathered around Wesley as Methodism expanded globally. It will be of interest to art historians as a treatment of an individual sitter and subject, as well as to scholars engaged in Wesley and Methodist studies. It is also significant for the field of material studies, given the spread and use of the image, on artefacts as well as on paper.

The pervading theme of this book is the construction and allocation of identity, especially through images and imagery. The essays analyse how the dominant social discourses and imageries construct identity or assign subject positions in relation to the categories of race, nation, region, gender and language. The volume is designed to inform the study of those categories in cultural studies, sociology, anthropology, gender studies, literary studies, philosophy and history. Its coverage is geographically global, multidisciplinary, and theoretically eclectic, but also accessible. The authors include both established and rising scholars from historical, literary, media, gender and cultural studies. This innovative collection will appeal to all those who are interested in the mechanisms of constructing and evolving personal and group identities, in past and present.

Describing the field, spanning individual, organisation societal and cultural perspectives in a cross-disciplinary manner, this is the premier reference tool for students lecturers, academics and practitioners to gather knowledge about a range of important topics from the perspective of organisation studies.

Identity is defined in many different ways in various disciplines in the social sciences and sub-disciplines within psychology. The developmental psychological approach to identity is characterized by a focus on developing a sense of the self that is temporally continuous and unified across the different life spaces that individuals inhabit. Erikson proposed that the task of adolescence and young adulthood was to define the self by answering the question: Who Am I? There have been many advances in theory and research on identity development since Erikson's writing over fifty years ago, and the time has come to consolidate our knowledge and set an agenda for future research. The Oxford Handbook of Identity Development represents a turning point in the field of identity development research. Various, and disparate, groups of researchers are brought together to debate, extend, and apply Erikson's theory to contemporary problems and empirical issues. The result is a comprehensive and state-of-the-art examination of identity development that pushes the field in provocative new directions. Scholars of identity development, adolescent and adult development, and related fields, as well as graduate students, advanced undergraduates, and practitioners will find this to be an innovative, unique, and exciting look at identity development.

The Fundamentals of Corporate Communications gives professionals and students in marketing a comprehensive and incisive overview of what modern corporate communications is, and what it can achieve. The author has drawn on extensive business experience in the area and wide ranging research in major corporations to produce an authoritative account of best practice - backed by numerous cases and examples. The book demonstrates how corporate communications affects today's marketing mix and explains how it can support wider marketing objectives. The key elements are covered in depth: * Who are the key audiences in the present business climate * The role of Corporate Image and Identity in the communications process * How communications informs and affects corporate strategy development * What are the tools of modern communications- from lobbying to brand building * Using communications in a crisis * Who should be communicator and why The book is both highly practical, it is grounded in real business issues, and rigorous in covering the concepts accessibly. It will be an essential text and reference for practitioners and students of marketing.

This thoroughly updated second edition of the Encyclopedia of Sport Management is an authoritative reference work that provides detailed explanations of critical concepts within the field.

This book brings together research about a diverse range of groups who are rarely analysed together: Welsh, Irish, Jewish, Arab, White, African and Indian. The aim of the book is to critique orthodox explanations in the field, drawing upon the best of 'old' and 'new' theory. Key contemporary questions include: issues about the black-white model of racism; the underplaying of anti-semitism; the need to examine ethnic majorities, as well as whiteness and the reconfiguration of the United Kingdom.

In this book, you will learn how to use OpenCV, NumPy library and other libraries to perform signal processing, image processing, object detection, and feature extraction with Python GUI (PyQt). You will learn how to filter signals, detect edges and segments, and denoise images with PyQt. You will also learn how to detect objects (face, eye, and mouth) using Haar Cascades and how to detect features on images using Harris Corner Detection, Shi-Tomasi Corner Detector, Scale-Invariant Feature Transform (SIFT), and Features from Accelerated Segment Test (FAST). In Chapter 1, you will learn: Tutorial Steps To Create A Simple GUI Application, Tutorial Steps to Use Radio Button, Tutorial Steps to Group Radio Buttons, Tutorial Steps to Use CheckBox Widget, Tutorial Steps to Use Two CheckBox Groups, Tutorial Steps to Understand Signals and Slots, Tutorial Steps to Convert Data Types, Tutorial Steps to Use Spin Box Widget, Tutorial Steps to Use ScrollBar and Slider, Tutorial Steps to Use List Widget, Tutorial Steps to Select Multiple List Items in One List Widget and Display It in Another List Widget, Tutorial Steps to Insert Item into List Widget, Tutorial Steps to Use Operations on Widget List, Tutorial Steps to Use Combo Box, Tutorial Steps to Use Calendar Widget and Date Edit, and Tutorial Steps to Use Table Widget. In Chapter 2, you will learn: Tutorial Steps To Create A Simple Line Graph, Tutorial Steps To Create A Simple Line Graph in Python GUI, Tutorial Steps To Create A Simple Line Graph in Python GUI: Part 2, Tutorial Steps To Create Two or More Graphs in the Same Axis, Tutorial Steps To Create Two Axes in One Canvas, Tutorial Steps To Use Two Widgets, Tutorial Steps To Use Two Widgets, Each of Which Has Two Axes, Tutorial Steps To Use Axes With Certain Opacity Levels, Tutorial Steps To Choose Line Color From Combo Box, Tutorial Steps To Calculate Fast Fourier Transform, Tutorial Steps To Create GUI For FFT, Tutorial Steps To Create GUI For FFT With Some Other Input Signals, Tutorial Steps To Create GUI For Noisy Signal, Tutorial Steps To Create GUI For Noisy Signal Filtering, and Tutorial Steps To Create GUI For Wav Signal Filtering. In Chapter 3, you will learn: Tutorial Steps To Convert RGB Image Into Grayscale, Tutorial Steps To Convert RGB Image Into YUV Image, Tutorial Steps To Convert RGB Image Into HSV Image, Tutorial Steps To Filter Image, Tutorial Steps To Display Image Histogram, Tutorial Steps To Display Filtered Image Histogram, Tutorial Steps To Filter Image With CheckBoxes, Tutorial Steps To Implement Image Thresholding, and Tutorial Steps To Implement Adaptive Image Thresholding. In Chapter 4, you will learn: Tutorial Steps To Generate And Display Noisy Image, Tutorial Steps To Implement Edge Detection On Image, Tutorial Steps To Implement Image Segmentation Using Multiple Thresholding and K-Means Algorithm, and Tutorial Steps To Implement Image Denoising. In Chapter 5, you will learn: Tutorial Steps To Detect Face, Eye, and Mouth Using Haar Cascades, Tutorial Steps To Detect Face Using Haar Cascades with PyQt, Tutorial Steps To Detect Eye, and Mouth Using Haar Cascades with PyQt, and Tutorial Steps To Extract Detected Objects. In Chapter 6, you will learn: Tutorial Steps To Detect Image Features Using Harris Corner Detection, Tutorial Steps To Detect Image Features Using Shi-Tomasi Corner Detection, Tutorial Steps To Detect Features Using Scale-Invariant Feature Transform (SIFT), and Tutorial Steps To Detect Features Using Features from Accelerated Segment Test (FAST). You can download the XML files from https://viviansiahaan.blogspot.com/2023/06/learn-from-scratch-signal-and-image.html.

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.

Fashion has become a fertile field of study for academics across disciplines, now that the rules, once tightly fixed, have been deconstructed. This volume brings together academics from various disciplines - philosophy, sociology, medicine, anthropology, psychology and psychiatry - to examine fashion's complex relationship with post-industrial societies. Herein the authors address, from the standpoint of their respective disciplines, what crucial functions fashion fulfils in the modern world, especially as it relates to the construction and deconstruction of the self. This volume is the result of a conference held by the Social Trends Institute at which the authors presented original papers. The Social Trends Institute is a non-profit research centre that offers institutional and financial support to academics in all fields who research and explore emerging social trends and their effects on human communities. The Institute focuses its research on four main subject areas: family, bioethics, culture and lifestyles, and corporate governance.