Mohammad H. Forouzanfar, Ashkan Afshin, Lily Alexander, H Ross Anderson et al.
BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debat...
Lincoln Chen, Timothy Evans, Sudhir Anand, Jo Ivey Boufford et al.
In this analysis of the global workforce, the Joint Learning Initiative-a consortium of more than 100 health leaders-proposes that mobilisation and strengthening of human resources for health, neglected yet critical, is central to combating health crises in some of the world's poorest countries and ...
Anne Marie Goetz, Rina Sen Gupta
Anne Marie Goetz, Rina Sen Gupta
Abstract Special credit institutions in Bangladesh have dramatically increased the credit available to poor rural women since the mid-1980s. Though this is intended to contribute to women's empowerment, few evaluations of loan use investigate whether women actually control this credit. Most often, w...
Charles W. L. Hill
Part One-Introduction and Overview Chapter 1: Globalization Case: Who Makes the Apple iPhone? Part Two-Country Differences Chapter 2: National Differences in Political Economy Chapter 3: Political Economy and Economic Development Chapter 4: Differences in Culture Chapter 5: Ethics in International B...
Agnes Quisumbing, John A. Maluccio
Abstract We test the unitary versus collective model of the household using specially designed data from Bangladesh, Ethiopia, Indonesia, and South Africa. Human capital and individual assets at the time of marriage are used as proxy measures for bargaining power. In all four countries, we reject th...
Roy Brouwer, Sonia Akter, Luke Brander, Enamul Haque
In this article we investigate the complex relationship between environmental risk, poverty, and vulnerability in a case study carried out in one of the poorest and most flood-prone countries in the world, focusing on household and community vulnerability and adaptive coping mechanisms. Based upon t...
Matthew Ohland, Misty L. Loughry, David J. Woehr, Lisa Bullard et al.
Instructors often incorporate self- and peer evaluations when they use teamwork in their classes, which is common in management education. However, the process is often time consuming and frequently does not match well with guidance provided by the literature. We describe the development of a web-ba...
S Gove
This article describes the technical basis for the guidelines for the integrated management of childhood illness (IMCI), which are presented in the WHO/UNICEF training course on IMCI for outpatient health workers at first-level health facilities in developing countries. These guidelines include the ...
Khan Md. Raziuddin Taufique, Sridhar Vaithianathan
Stephen Jaros
Richard A. Guzzo, Katherine A. Noonan
Abstract This article examines the psychological contract and human resource practices as communications relevant to that contract. We argue that employees, at certain times only, systematically analyze their employers' HR practices for meaning vis‐ri‐vis their psychological contract. Judgments abou...
Muhammad Azeem Qureshi, Sina Kirkerud, Kim Theresa, Tanveer Ahsan
Abstract Using a large panel data set comprising 812 listed European firms, this study investigates whether sustainability disclosure (environmental, social, and governance) and female representation on boards affect firm value. We observe a positive impact of sustainability disclosure and board gen...
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen et al.
Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of state-of-the-art methods still remains an open problem. This is due to the incr...
Elias Hossain, Rajib Rana, Niall Higgins, Jeffrey Soar et al.
BACKGROUND Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and other challenges hinder the full utilisation of NLP for EHRs. Various Machine Learning (ML), Deep Learning (DL) an...