Lessons Learned: Nathan Sheets

Between 2007 and 2011, Nathan Sheets was director of the Division of International Finance at the Board of Governors of the Federal Reserve System. He oversaw the operations of the division and advised the Federal Open Market Committee (FOMC) on economic and financial developments in foreign countries. Sheets also regularly represented the Federal Reserve Board at international meetings and in its contacts with foreign central banks. Under his helm, the division was involved in helping establish and manage the US dollar liquidity swap lines with foreign central banks. This Lessons Learned abstract is based on an interview with Sheets on December 11, 2019

After the colonial: Tina Rimmer the Borneon artist

James Williamson in his 2nd edition of A Short History of British Expansion (1931) drew his readers attention to the dwindling numbers of European colonials particularly the British colonials in the colonies which numbered 1.5 million in 1921 and then 1.4 million in December 192715. Imperialism was at its closure after the world war and the world was in depression. Those who lived after the war returned home even those who were at the fringes of the British colonies. This article explores the social transformation of post imperial colonials who did not return after imperialism especially in the fringes of non-white former colonies like the North Borneo of Malaysia. The question that begs is the resistance or insistence of the imperial mindset of these colonials who did not return home after imperialism. Since there are few who are still alive to answer this question, the one important respondent that has been identified in this research is Tina Rimmer or Mary Christina Rimmer née Lewin, a much loved Borneo[n] artist who  will turn a 100 in August 20171

Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

Abstract Background Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts. Methods We used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts. Results The CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct. Conclusion The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.http://deepblue.lib.umich.edu/bitstream/2027.42/78272/1/1748-5908-4-50.xmlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78272/2/1748-5908-4-50-S1.PDFhttp://deepblue.lib.umich.edu/bitstream/2027.42/78272/3/1748-5908-4-50-S3.PDFhttp://deepblue.lib.umich.edu/bitstream/2027.42/78272/4/1748-5908-4-50-S4.PDFhttp://deepblue.lib.umich.edu/bitstream/2027.42/78272/5/1748-5908-4-50.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78272/6/1748-5908-4-50-S2.PDFPeer Reviewe

ESR1 F404 mutations and acquired resistance to fulvestrant in ESR1 mutant breast cancer

Fulvestrant is used to treat patients with hormone receptor positive advanced breast cancer but acquired resistance is poorly understood. PlasmaMATCH Cohort A (NCT03182634) investigated the activity of fulvestrant in patients with activating ESR1 mutations in circulating tumor DNA (ctDNA). Baseline ESR1 mutations Y537S associated with poor, and Y537C with good outcome. Sequencing of baseline and EOT ctDNA samples (n=69) revealed 3/69 (4%) patients acquired novel ESR1 F404 mutations (F404L, F404I, F404V), in cis with activating mutations. In silico modelling revealed that ESR1 F404 contributes to fulvestrant binding to ERa through a pi-stacking bond, with mutations disrupting this bond. In vitro analysis demonstrated that single F404L, E380Q, and D538G models were less sensitive to fulvestrant, while compound mutations D538G+F404L and E380Q+F404L were resistant. Several oral ERa degraders were active against compound mutant models. We have identified a resistance mechanism specific to fulvestrant, that can be targeted by treatments in clinical development

Clinically applicable deep learning for diagnosis and referral in retinal disease

The volume and complexity of diagnostic imaging is increasing at a pace faster than the availability of human expertise to interpret it. Artificial intelligence has shown great promise in classifying two-dimensional photographs of some common diseases and typically relies on databases of millions of annotated images. Until now, the challenge of reaching the performance of expert clinicians in a real-world clinical pathway with three-dimensional diagnostic scans has remained unsolved. Here, we apply a novel deep learning architecture to a clinically heterogeneous set of three-dimensional optical coherence tomography scans from patients referred to a major eye hospital. We demonstrate performance in making a referral recommendation that reaches or exceeds that of experts on a range of sight-threatening retinal diseases after training on only 14,884 scans. Moreover, we demonstrate that the tissue segmentations produced by our architecture act as a device-independent representation; referral accuracy is maintained when using tissue segmentations from a different type of device. Our work removes previous barriers to wider clinical use without prohibitive training data requirements across multiple pathologies in a real-world setting

Trust in food supplies: Assuring quality, sustainability, price and availability

© 2018 selection and editorial matter, Rosalind H. Searle, Ann-Marie I. Nienaber and Sim B. Sitkin; individual chapters, the contributors. Declining trust between citizens and the public sector has been high on the public agenda for quite a while now. Such declining trust and sometimes even increasing distrust has been related to issues such as the emergence of new political parties running on an anti-government sentiment, aggression of citizens towards civil servants, a low attractiveness of public employment, public organizations’ desire to demand ever more proof from citizens when taking decisions, or increased government surveillance. Such evidence of declining trust can be complemented by an almost equally substantial body of evidence of stable or increasing levels of trust. Examples are a desire to involve citizens in public decision-making, an absence of large-scale visible challenging of government decisions, and a move towards less coercive and more collaborative relations between the public sector and citizens.status: publishe

Implications for future directions in trust research

No abstract available

Introduction

No abstract available

Introduction

No abstract available