The rhetorical significance of women deminers and female participation in post-conflict operations

Across the globe, all female or mix-gender demining teams are working to eradicate landmines and other explosive remnants of war that threaten their communities. However, more generally, women are often absent from the various elements of security and peacekeeping that exists in post-conflict environments. The purpose of this research is to examine the rhetorical significance of women deminers and to analyze wider implications for female participation in post-conflict operations. Using a phenomenological, feminist, and transformative framework, I collected qualitative data from a range of public texts (or “artifacts”) written about women deminers and from online surveys distributed to women demining teams operating abroad. By analyzing both data sets and through their comparison, several themes emerge including the women deminers’ role as wives and mothers, the deminers’ motivations, and information about their occupational choices. Survey respondents were aware of their depictions in popular media and agreed in most part with the way women deminers are described. In many cases, they enthusiastically support continued coverage of their work. While the artifacts portray the women deminers both accurately and positively, the narratives have remained stagnant over the past twenty years of coverage, and the continued focus on women’s participation as a “novelty” implies the presence of women deminers is new and diverting from operational norms. In addition, repetitive stories should be replaced with new research and articles that better connect women deminers with the wider security and peacebuilding sectors. This research is presented as a thesis reflection and two journal articles intended for publication in both scholarly and field journals

U-drawing of Fortiform 1050 third generation steels. Numerical and experimental results

Elasto–plastic behavior of the third generation Fortiform 1050 steel has been analysed using cyclic tension–compression tests. At the same time, the pseudo elastic modulus evolution with plastic strain was analysed using cyclic loading and unloading tests. From the experiments, it was found that the cyclic behavior of the steel is strongly kinematic and elastic modulus decrease with plastic strain is relevant for numerical modelling. In order to numerically analyse a U-Drawing process, strip drawing tests have been carried out at different contact pressures and Filzek model has been used to fit the experimental data and implement a pressure dependent friction law in Autoform software. Finally, numerical predictions of springback have been compared with the experimentally ones obtained using a sensorized UDrawing tooling. Different material and contact models have been examined and most influencing parameters have been identified to model the forming of these new steels

Perspectives of scientists on disseminating research findings to non-research audiences

BACKGROUND: Little is known about practices used to disseminate findings to non-research, practitioner audiences. This study describes the perspectives, experience and activities of dissemination & implementation (D&I) scientists around disseminating their research findings. METHODS: The study explored D&I scientists\u27 experiences and recommendations for assessment of dissemination activities to non-research audiences. Existing list serves were used to recruit scientists. Respondents were asked three open-ended questions on an Internet survey about dissemination activities, recommendations for changing evaluation systems and suggestions to improve their own dissemination of their work. RESULTS: Surveys were completed by 159 scientists reporting some training, funding and/or publication history in D&I. Three themes emerged across each of the three open-ended questions. Question 1 on evaluation generated the themes of: 1a) promotional review; 1b) funding requirements and 1c) lack of acknowledgement of dissemination activities. Question 2 on recommended changes generated the themes of: 2a) dissemination as a requirement of the academic promotion process; 2b) requirement of dissemination plan and 2c) dissemination metrics. Question 3 on personal changes to improve dissemination generated the themes of: 3a) allocation of resources for dissemination activities; 3b) emerging dissemination channels and 3c) identify and address issues of priority for stakeholders. CONCLUSIONS: Our findings revealed different types of issues D&I scientists encounter when disseminating findings to clinical, public health or policy audiences and their suggestions to improve the process. Future research should consider key requirements which determine academic promotion and grant funding as an opportunity to expand dissemination efforts

Far Field Plume Distribution and Divergence for NEXT: DART Mission

In support of the Double Asteroid Redirection Test (DART) mission, laboratory measurements were made on the NEXT ion engine, which will be used for the spacecraft's in-space propulsion [1]. This study revisits a small range of mission-specific 2.7A throttle levels to understand the effect of in-flight flow rate variability, investigate intermediate throttle conditions, and improve measurement methodology. This paper specifically examines the far-field plume divergence and backflow ion flux distribution of the NEXT, while a companion paper examines the charge state distributions

Deep learning quantification of percent steatosis in donor liver biopsy frozen sections

BACKGROUND: Pathologist evaluation of donor liver biopsies provides information for accepting or discarding potential donor livers. Due to the urgent nature of the decision process, this is regularly performed using frozen sectioning at the time of biopsy. The percent steatosis in a donor liver biopsy correlates with transplant outcome, however there is significant inter- and intra-observer variability in quantifying steatosis, compounded by frozen section artifact. We hypothesized that a deep learning model could identify and quantify steatosis in donor liver biopsies. METHODS: We developed a deep learning convolutional neural network that generates a steatosis probability map from an input whole slide image (WSI) of a hematoxylin and eosin-stained frozen section, and subsequently calculates the percent steatosis. Ninety-six WSI of frozen donor liver sections from our transplant pathology service were annotated for steatosis and used to train (n = 30 WSI) and test (n = 66 WSI) the deep learning model. FINDINGS: The model had good correlation and agreement with the annotation in both the training set (r of 0.88, intraclass correlation coefficient [ICC] of 0.88) and novel input test sets (r = 0.85 and ICC=0.85). These measurements were superior to the estimates of the on-service pathologist at the time of initial evaluation (r = 0.52 and ICC=0.52 for the training set, and r = 0.74 and ICC=0.72 for the test set). INTERPRETATION: Use of this deep learning algorithm could be incorporated into routine pathology workflows for fast, accurate, and reproducible donor liver evaluation. FUNDING: Mid-America Transplant Society

Randomised, Controlled, Assessor Blind Trial Comparing 4% Dimeticone Lotion with 0.5% Malathion Liquid for Head Louse Infestation

BACKGROUND:Malathion 0.5% has been the most prescribed pediculicide in the United Kingdom for around 10 years, and is widely used in Europe and North America. Anecdotal reports suggest malathion treatments are less effective than formerly, but this has not been confirmed clinically. This study was designed to determine whether malathion is still effective and if 4% dimeticone lotion is a more effective treatment for head louse infestation. METHODOLOGY/PRINCIPAL FINDINGS:We designed this study as an assessor blinded, randomised, controlled, parallel group trial involving 58 children and 15 adults with active head louse infestation. Each participant received two applications 7 days apart of either 4% dimeticone lotion, applied for 8 hours or overnight, or 0.5% malathion liquid applied for 12 hours or overnight. All treatment and check-up visits were conducted in participants' homes. Cure of infestation was defined as no evidence of head lice after the second treatment. Some people were found free from lice but later reinfested. Worst case, intention to treat, analysis found dimeticone was significantly more effective than malathion, with 30/43 (69.8%) participants cured using dimeticone compared with 10/30 (33.3%) using malathion (p<0.01, difference 36.4%, 95% confidence interval 14.7% to 58.2%). Per protocol analysis showed cure rates of 30/39 (76.9%) and 10/29 (34.5%) respectively. Irritant reactions were observed in only two participants, both treated with malathion. CONCLUSIONS/SIGNIFICANCE:We concluded that, although malathion liquid is still effective for some people, dimeticone lotion offers a significantly more effective alternative treatment for most people. TRIAL REGISTRATION:Controlled-Trials.com ISRCTN47755726