Muro de las Lagrimas (wall of tears): Living with dementia; family experience of loss and grief

This brief paper will introduce a new theoretical framework or model which may be useful for putting a structure around the theme of ageing and its accompanying grief and loss. It is especially appropriate in the context of counselling families living with dementia, including those individuals with a diagnosis of alzheimers disease. The paper describes the origin of the Spanish expressions of the `wall of tears’ and `house of tears’ and involves an historical narrative of the first author as context to the framework

Sphingomonas paucimobilis Bloodstream Infections Associated with Contaminated Intravenous Fentanyl1

Compounding pharmacies should be required to follow good manufacturing practices, including end-product sterility testing

Organizational impact of evidence-informed decision making training initiatives : a case study comparison of two approaches

Background The impact of efforts by healthcare organizations to enhance the use of evidence to improve organizational processes through training programs has seldom been assessed. We therefore endeavored to assess whether and how the training of mid- and senior-level healthcare managers could lead to organizational change. Methods We conducted a theory-driven evaluation of the organizational impact of healthcare leaders’ participation in two training programs using a logic model based on Nonaka’s theory of knowledge conversion. We analyzed six case studies nested within the two programs using three embedded units of analysis (individual, group and organization). Interviews were conducted during intensive one-week data collection site visits. A total of 84 people were interviewed. Results We found that the impact of training could primarily be felt in trainees’ immediate work environments. The conversion of attitudes was found to be easier to achieve than the conversion of skills. Our results show that, although socialization and externalization were common in all cases, a lack of combination impeded the conversion of skills. We also identified several individual, organizational and program design factors that facilitated and/or impeded the dissemination of the attitudes and skills gained by trainees to other organizational members. Conclusions Our theory-driven evaluation showed that factors before, during and after training can influence the extent of skills and knowledge transfer. Our evaluation went further than previous research by revealing the influence—both positive and negative—of specific organizational factors on extending the impact of training programs

A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species

We thank the countless individuals who collected and/or processed the nearly 85,000 images used in this study and those who assisted, particularly those who sorted these images from the millions that did not end up in the catalogues. Additionally, we thank the other Kaggle competitors who helped develop the ideas, models and data used here, particularly those who released their datasets to the public. The graduate assistantship for Philip T. Patton was funded by the NOAA Fisheries QUEST Fellowship. This paper represents HIMB and SOEST contribution numbers 1932 and 11679, respectively. The technical support and advanced computing resources from University of Hawaii Information Technology Services—Cyberinfrastructure, funded in part by the National Science Foundation CC* awards # 2201428 and # 2232862 are gratefully acknowledged. Every photo–identification image was collected under permits according to relevant national guidelines, regulation and legislation.Peer reviewedPublisher PD

Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space

The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL; https://anvilproject.org) was developed to address a widespread community need for a unified computing environment for genomics data storage, management, and analysis. In this perspective, we present AnVIL, describe its ecosystem and interoperability with other platforms, and highlight how this platform and associated initiatives contribute to improved genomic data sharing efforts. The AnVIL is a federated cloud platform designed to manage and store genomics and related data, enable population-scale analysis, and facilitate collaboration through the sharing of data, code, and analysis results. By inverting the traditional model of data sharing, the AnVIL eliminates the need for data movement while also adding security measures for active threat detection and monitoring and provides scalable, shared computing resources for any researcher. We describe the core data management and analysis components of the AnVIL, which currently consists of Terra, Gen3, Galaxy, RStudio/Bioconductor, Dockstore, and Jupyter, and describe several flagship genomics datasets available within the AnVIL. We continue to extend and innovate the AnVIL ecosystem by implementing new capabilities, including mechanisms for interoperability and responsible data sharing, while streamlining access management. The AnVIL opens many new opportunities for analysis, collaboration, and data sharing that are needed to drive research and to make discoveries through the joint analysis of hundreds of thousands to millions of genomes along with associated clinical and molecular data types

Muro de las Lagrimas (wall of tears): Living with dementia; family experience of loss and grief

This brief paper will introduce a new theoretical framework or model which may be useful for putting a structure around the theme of ageing and its accompanying grief and loss. It is especially appropriate in the context of counselling families living with dementia, including those individuals with a diagnosis of alzheimers disease.\ud \ud The paper describes the origin of the Spanish expressions of the `wall of tears’ and `house of tears’ and involves an historical narrative of the first author as context to the framework

Thesis writing as a feminist project: negotiating space for women's embodied selves in new scholarship

Published online: 13 May 2008Judith Gill, with Julie Mariko Matthews, Lana Zannettino and Trish Carrol

Managing Ecological Water Requirements for Groundwater-dependent Wetlands on National Forests: A View from the Bottom Up and the Top Down

Presented at The Oregon Water Conference, May 24-25, 2011, Corvallis, OR.The USDA Forest Service and The Nature Conservancy are collaborating on developing a method for setting Ecological Water Requirements (EWRs) for groundwater-dependent wetlands on National Forests and Grasslands to inform groundwater management from the site to the national scale. This method is one piece in a growing Forest Service groundwater resource management program across the United States. The Forest Service has responsibility for management of more than 190 million acres of National Forests and Grasslands located in 42 states and Puerto Rico. In Oregon, approximately 25 percent of the land is managed by the Forest Service. Water from National Forests and Grasslands provides irreplaceable high quality habitat for aquatic, riparian, and terrestrial species, and a sustainable supply of water for humans. In the Western United States, over 65 percent of the water supply for domestic, agricultural, and industrial uses comes from National Forests. The need for a more comprehensive view of water resources is now critical. Until recently, the focus of Forest Service water management has been above ground, but attention has turned to including subsurface flows and groundwater resources. The Forest Service groundwater resource program is organized around management of groundwater-dependent ecosystems (GDEs). Considering the water needs of these GDEs is important to protect and sustain these ecosystems. Methods for determining EWRs for GDEs, is one piece of the inventory and monitoring component of the groundwater program. National protocols for two levels of inventory, broad level characterization and project level support, are completed. Field tests at five pilot sites across the country were completed in 2010. Level 3 Inventory and Monitoring and EWR protocols are under development. The methods for determining EWRs are being developed and tested as part of a grazing management plan revision on the Fremont-Winema National Forests. The concepts and lessons learned will be tested in other settings and refinement of the approach will translate into the National EWR protocol