Mortality, violence and lack of access to healthcare in the Democratic Republic of Congo.

The people of the Democratic Republic of Congo for decades have been living in a situation of chronic crisis. Violence, population displacement and the destruction of infrastructure and health services have devastated the health of the population. In 2001, Médicins Sans Frontières conducted a survey in five areas of western and central DRC to assess mortality, access to health-care, vaccination coverage and exposure to violence. High mortality rates were found in front-line zones, mainly due to malnutrition and infectious diseases. In Basankusu approximately 10 per cent of the total population and 25 per cent of the under-five population had perished in the year before the survey. Humanitarian needs remain acute across the country, particularly near the front line. Infectious-disease control and treatment are a priority, as is increasing access to health-care. Humanitarian assistance must be increased considerably, especially in rural areas and zones that have been affected directly by conflict

Navigating the Web Archives: A Study of Users' Understanding of Context

Web archiving is a rapidly growing area of electronic records archiving, with third-party service providers developing comprehensive Web archiving solutions. Currently in the United States, there are two major Web archiving services being used, the Internet Archive's Archive-It and OCLC's Web Archives Workbench. These two services are based, respectively on the "technocentric" and "archival" approaches to archiving Web sites, underlying which are specific assumptions about the nature of capturing, managing, and providing access to this type of archival material. Focusing on how these approaches affect the access and presentation methods supported by Archive-It and the Web Archives Workbench, this paper describes a study conducted at the North Carolina State Archives and Library that tested the effect of the two methods on users' understanding of contextual information. Study participants' responses indicate that the "archival" model may provide users with a better understanding of a records context, but that generally users are confident about their ability to understand the records regardless of access methods. Nevertheless, despite these high levels of confidence, participants in this study did not necessarily have a good understanding of the nature of materials captured and archived directly from the Internet. The results of this study also demonstrate that users would like to have contextual information built into document displays, whether in the form of a header containing appropriate metadata or in the documents themselves

Seeking justice and redress for victim-survivors of image-based sexual abuse

Despite apparent political concern and action – often fuelled by high-profile cases and campaigns – legislative and institutional responses to image-based sexual abuse in the UK have been ad hoc, piecemeal and inconsistent. In practice, victim-survivors are being consistently failed: by the law, by the police and criminal justice system, by traditional and social media, website operators, and by their employers, universities and schools. Drawing on data from the first multi-jurisdictional study of the nature and harms of, and legal/policy responses to, image-based sexual abuse, this article argues for a new joined-up approach that supports victim-survivors of image-based sexual abuse to ‘reclaim control’. It argues for a comprehensive, multi-layered, multi-institutional and multi-agency response, led by a government- and industry-funded online or e-safety organisation, which not only recognises the diversity of victim-survivor experiences and the intersection of image-based sexual abuse with other forms of sexual and gender-based violence and discrimination, but which also enables victim-survivors to reclaim control within and beyond the criminal justice system

Head and neck target delineation using a novel PET automatic segmentation algorithm

Purpose To evaluate the feasibility and impact of using a novel advanced PET auto-segmentation method in Head and Neck (H&N) radiotherapy treatment (RT) planning. Methods ATLAAS, Automatic decision Tree-based Learning Algorithm for Advanced Segmentation, previously developed and validated on pre-clinical data, was applied to 18F-FDG-PET/CT scans of 20 H&N patients undergoing Intensity Modulated Radiation Therapy. Primary Gross Tumour Volumes (GTVs) manually delineated on CT/MRI scans (GTVpCT/MRI), together with ATLAAS-generated contours (GTVpATLAAS) were used to derive the RT planning GTV (GTVpfinal). ATLAAS outlines were compared to CT/MRI and final GTVs qualitatively and quantitatively using a conformity metric. Results The ATLAAS contours were found to be reliable and useful. The volume of GTVpATLAAS was smaller than GTVpCT/MRI in 70% of the cases, with an average conformity index of 0.70. The information provided by ATLAAS was used to grow the GTVpCT/MRI in 10 cases (up to 10.6 mL) and to shrink the GTVpCT/MRI in 7 cases (up to 12.3 mL). ATLAAS provided complementary information to CT/MRI and GTVpATLAAS contributed to up to 33% of the final GTV volume across the patient cohort. Conclusions ATLAAS can deliver operator independent PET segmentation to augment clinical outlining using CT and MRI and could have utility in future clinical studies

Taxonomy Working Group Final Report

The purpose of the Taxonomy Working Group was to develop a proposal for a common taxonomy to be used by all NASA projects in the classifying of nonconformances, anomalies, and problems. Specifically, the group developed a recommended list of data elements along with general suggestions for the development of a problem reporting system to better serve NASA's need for managing, reporting, and trending project aberrant events. The Group's recommendations are reported in this document

Type 2 alveolar cells are stem cells in adult lung

Gas exchange in the lung occurs within alveoli, air-filled sacs composed of type 2 and type 1 epithelial cells (AEC2s and AEC1s), capillaries, and various resident mesenchymal cells. Here, we use a combination of in vivo clonal lineage analysis, different injury/repair systems, and in vitro culture of purified cell populations to obtain new information about the contribution of AEC2s to alveolar maintenance and repair. Genetic lineage-tracing experiments showed that surfactant protein C–positive (SFTPC-positive) AEC2s self renew and differentiate over about a year, consistent with the population containing long-term alveolar stem cells. Moreover, if many AEC2s were specifically ablated, high-resolution imaging of intact lungs showed that individual survivors undergo rapid clonal expansion and daughter cell dispersal. Individual lineage-labeled AEC2s placed into 3D culture gave rise to self-renewing “alveolospheres,” which contained both AEC2s and cells expressing multiple AEC1 markers, including HOPX, a new marker for AEC1s. Growth and differentiation of the alveolospheres occurred most readily when cocultured with primary PDGFRα+ lung stromal cells. This population included lipofibroblasts that normally reside close to AEC2s and may therefore contribute to a stem cell niche in the murine lung. Results suggest that a similar dynamic exists between AEC2s and mesenchymal cells in the human lung