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The Mini International Neuropsychiatric Inventory 7.0.2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa.
Methods
We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries.
Results
Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country.
Conclusions
The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.
Dr. Sharpe was a leading eye movement researcher who had also been the editor of this journal. We wish to mark the 10th anniversary of his death by providing a sense of what he had achieved through some examples of his research.
We summarize what we assess as the past year's most important findings within climate change research: limits to adaptation, vulnerability hotspots, new threats coming from the climate–health nexus, climate (im)mobility and security, sustainable practices for land use and finance, losses and damages, inclusive societal climate decisions and ways to overcome structural barriers to accelerate mitigation and limit global warming to below 2°C.
Technical summary
We synthesize 10 topics within climate research where there have been significant advances or emerging scientific consensus since January 2021. The selection of these insights was based on input from an international open call with broad disciplinary scope. Findings concern: (1) new aspects of soft and hard limits to adaptation; (2) the emergence of regional vulnerability hotspots from climate impacts and human vulnerability; (3) new threats on the climate–health horizon – some involving plants and animals; (4) climate (im)mobility and the need for anticipatory action; (5) security and climate; (6) sustainable land management as a prerequisite to land-based solutions; (7) sustainable finance practices in the private sector and the need for political guidance; (8) the urgent planetary imperative for addressing losses and damages; (9) inclusive societal choices for climate-resilient development and (10) how to overcome barriers to accelerate mitigation and limit global warming to below 2°C.
Social media summary
Science has evidence on barriers to mitigation and how to overcome them to avoid limits to adaptation across multiple fields.
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Powered prosthetic legs are becoming a promising option for amputee patients. However, developing safe, robust, and intuitive control strategies for powered legs remains one of the greatest challenges. Although a variety of control strategies have been proposed, creating and fine-tuning the system parameters is time-intensive and complicated when more activities need to be restored. In this study, we developed a deep neural network (DNN) model that facilitates seamless and intuitive gait generation and transitions across five ambulation modes: level-ground walking, ascending/descending ramps, and ascending/descending stairs. The combination of latent and time sequence features generated the desired impedance parameters within the ambulation modes and allowed seamless transitions between ambulation modes. The model was applied to the open-source bionic leg and tested on unilateral transfemoral users. It achieved the overall coefficient of determination of 0.72 with the state machine-based impedance parameters in the offline testing session. In addition, users were able to perform in-laboratory ambulation modes with an overall success rate of 96% during the online testing session. The results indicate that the DNN model is a promising candidate for subject-independent and tuning-free prosthetic leg control for transfemoral amputees.
Narrative Science examines the use of narrative in scientific research over the last two centuries. It brings together an international group of scholars who have engaged in intense collaboration to find and develop crucial cases of narrative in science. Motivated and coordinated by the Narrative Science project, funded by the European Research Council, this volume offers integrated and insightful essays examining cases that run the gamut from geology to psychology, chemistry, physics, botany, mathematics, epidemiology, and biological engineering. Taking in shipwrecks, human evolution, military intelligence, and mass extinctions, this landmark study revises our understanding of what science is, and the roles of narrative in scientists' work. This title is also available as Open Access.