Nomenclatural notes on Pseudocyphellaria V : some Brazilian taxa

A new, phyllidiate, white-medulla species with yellow pseudocyphellae and a green photobiont, Pseudocyphellaria kalbii D.J.Galloway, is described from Brazilian collections, and typification and notes on P. aurora (De Not.) Vainio are presented

Studies on the lichen genus Sticta (Schreber) Ach. : 5., Australian species

Twenty five species of Sticta occur in Australia. These are: Sticta baileyi, S. brevipes, S. camarae, S. caperata, S. cyphellulata, S. diversa, S. duplolimbata, S. filix, S. flavocyphellata, S. fuliginosa, S. howei, S. hypopsiloides, S. latifrons, S. limbata, S. marginifera, S. myrioclada, S. pedunculata, S. rutilans, S. sayeri, S. stipitata, S. sublimbata, S. subtomentella, S. variabilis and S. weigelii. A key and descriptions of each taxon are given together with details of biogeography, distribution, ecology and nomenclature. Sticta baileyi, S. flavocyphellata and S. howei are newly described, and Sticta myrioloba (Müll.Arg.) D.J.Galloway comb. & stat. nov., is proposed

OncoLog Volume 49, Number 05, May 2004

Experts Recommend Treating Cancer Pain in the Context of Other Symptoms Protocols: Studies Examine Treatment for Cancer-Related Pain Participation of Elderly Patients in Clinical Trials: Looking Beyond Age House Call: From Cancer Research to Clinical Practice DiaLog: The Next 20 Years: The Changing Face of Cancer Treatment, by Emil J. Freireich, MD, Director, Adult Leukemia Research Programhttps://openworks.mdanderson.org/oncolog/1129/thumbnail.jp

A copula model of wind turbine performance

The conventional means of assessing the performance of a wind turbine is through consideration of its power curve which provides the relationship between power output and measured wind speed. In this paper it is shown how the joint probability distribution of power and wind speed can be learned from data, rather than from examination of the implied function of the two variables. Such an approach incorporates measures of uncertainty into performance estimates, allows inter-plant performance comparison, and could be used to simulate plant operation via sampling. A preliminary model is formulated and fitted to operational data as an illustration

The Unhiggs

We examine a scenario where the Higgs is part of an approximate conformal field theory, and has a scaling dimension greater than one. Such an unparticle Higgs (or Unhiggs) can still break electroweak symmetry and unitarize WW scattering, but its gauge couplings are suppressed. An Unhiggs model has a reduced sensitivity of the weak scale to the cutoff, and can thus provide a solution to the little hierarchy problem.Comment: 21 pages, 9 figures; v2: further discussion, references added, version published in JHE

What goes in, must come out:combining scat-based molecular diet analysis and quantification of ingested microplastics in a marine top predator

Context: Microplastics (plastic particles &lt;5 mm in size) are highly available for ingestion by a wide range of organisms, either through direct consumption or indirectly, via trophic transfer, from prey to predator. The latter is a poorly understood, but potentially major, route of microplastic ingestion for marine top predators.Approach: We developed a novel and effective methodology pipeline to investigate dietary exposure of wild top predators (grey seals; Halichoerus grypus) to microplastics, by combining scat-based molecular techniques with a microplastic isolation method. We employed DNA metabarcoding, a rapid method of biodiversity assessment, to garner detailed information on prey composition from scats, and investigated the potential relationship between diet and microplastic burden.Results: Outcomes of the method development process and results of both diet composition from metabarcoding analysis and detection of microplastics are presented. Importantly, the pipeline performed well and initial results suggest the frequency of microplastics detected in seal scats may be related to the type of prey consumed. Conclusions: Our non-invasive, data rich approach maximises time and resource-efficiency, while minimising costs and sample volumes required for analysis. This pipeline could be used to underpin a much-needed increase in understanding of the relationship between diet composition and rates of microplastic ingestion in high trophic-level species.<br/

Interventions in measles outbreaks: the potential reduction in cases associated with school suspension and vaccination interventions

Background: Measles is resurgent in the US, with more cases in 2019 than any year since 1992. Many of the cases were concentrated in three outbreaks in New York and Washington states, where local governments enacted intervention strategies in an attempt to limit the spread of measles. Regulations differed by location, suggesting guidance on the optimal interventions may be beneficial. Methods: We simulate the daily interactions of the populations of six metropolitan areas of Texas, US, using an agent-based model. The real-life vaccination rates of each school in these metropolitan areas are applied to simulated equivalents. A single case of measles is introduced to the population and the resulting number of cases counted. A range of public health interventions, focused on suspending unvaccinated students and mandatory vaccinations, were simulated during measles outbreaks and the reduction in the number of measles cases, relative to no intervention, recorded. Interventions were simulated only in schools with measles cases and in all schools in each metropolitan area. Results: Suspending unvaccinated students from school was associated with the greatest reduction in measles cases. In a plausible worst-case outbreak scenario, the number of cases is forecast to reduce by 68-96%. Interventions targeting all schools in a metropolitan area is not found to be associated with fewer measles cases than only targeting schools with measles cases, at 2018 vaccination rates. Targeting all schools also increases the cumulative number of school days missed by suspended students by a factor of 10-100, depending on the metropolitan area, compared to targeting only schools with measles cases. If vaccination rates drop 5% in the schools which are under-vaccinated in 2018, metropolitan area-wide interventions are forecast to be associated with fewer cases than school-specific interventions. Conclusions: Interventions that are quickly implemented and widely followed may reduce the size of measles outbreaks by up 96%. If vaccination rates continue to fall in Texas, metropolitan area-wide interventions should be considered in the event of an outbreak

A qualitative exploration of the feasibility of incorporating depression apps into integrated primary care clinics

Background: The use of mobile applications or “apps” is beginning to be identified as a potential cost-effective tool for treating depression. While the use of mobile apps for health management appears promising, little is known on how to incorporate these tools into integrated primary care settings – especially from the viewpoints of patients and the clinic personnel. Purpose: The purpose of this study was to explore patient- and clinic-level perceptions of the use of depression self-management apps within an integrated primary care setting. Methods: Patients (n=17), healthcare providers, and staff (n=15) completed focus groups or semi-structured interviews in-person or via Zoom between January and July 2020. Participants were asked about barriers and facilitators to app use, how to best integrate it into care, and reviewed pre-selected mental health apps. Data were analyzed using a directed content analysis approach. Results: From a patient perspective, features within the app such as notifications, the provision of information, easy navigation, and a chat/support function as well as an ability to share data with their doctor were desirable. Providers and staff identified integration of app data into electronic health records to be able to share data with patients and the healthcare team as well as clear evidence of effectiveness as factors that could facilitate implementation. All participants who reviewed apps identified at least one of them they would be interested in continuing to use. Conclusions: Overall, patients, healthcare providers, and staff believed depression apps could be beneficial for both patients and the clinic

A variable near-infrared counterpart to the neutron-star low-mass X-ray binary 4U 1705-440

We report the discovery of a near-infrared (nIR) counterpart to the persistent neutron-star low-mass X-ray binary 4U 1705-440, at a location consistent with its recently determined Chandra X-ray position. The nIR source is highly variable, with K_s-band magnitudes varying between 15.2 and 17.3 and additional J- and H-band observations revealing color variations. A comparison with contemporaneous X-ray monitoring observations shows that the nIR brightness correlates well with X-ray flux and X-ray spectral state. We also find possible indications for a change in the slope of the nIR/X-ray flux relation between different X-ray states. We discuss and test various proposed mechanisms for the nIR emission from neutron-star low-mass X-ray binaries and conclude that the nIR emission in 4U 1705-440 is most likely dominated by X-ray heating of the outer accretion disk and the secondary star.Comment: Accepted for publication in Ap

Addressing and Evaluating Health Literacy in mHealth: A Scoping Review

BACKGROUND: Recent surveys have revealed many adults have basic or below basic health literacy, which is linked to medical errors, increased illness, and compromised public health. Health literacy as a concept is multi-faceted extending beyond the individual to include social structures and the context in which health information is being accessed. Delivering health information via mobile devices (mHealth) expands the amount of information available while presenting challenges to ensuring these materials are suitable for a variety of literacy needs. The aims of this study are to discover how health literacy is addressed and evaluated in mHealth app development. METHODS: A scoping review of 5 peer-reviewed databases was conducted. Eligible articles were written in English, addressed general literacy or mHealth/digital/eHealth literacy, and collected literacy information in order to incorporate literacy into the design and/or modification of an app or collected literacy information to describe the population being studied. The Health Literacy Online (HLO) United States (U.S.) government guide was used as a framework. RESULTS: Thirty-two articles were reviewed. Articles included health literacy recommendations for all HLO categories and some recommendations not aligned with these categories. Most articles addressed health literacy using specific HLO categories though none incorporated every HLO category. The most common categories addressed engagement and testing of mHealth content. Though several studies addressed health literacy through a formal assessment tool, most did not. Evaluation of health literacy in mHealth was end-user focused and did not extensively evaluate content for fit to a variety of individuals with limited health literacy. CONCLUSIONS: The recommendations seen consistently in our results in conjunction with formal HLO categories can act as beginning steps towards development of a health literacy evaluation tool for mHealth apps themselves. It is clear efforts are being made to reduce barriers to using mHealth for those with literacy deficits, however, it was also clear that this space has room to be more pragmatic in evaluation of mHealth tools for literacy. End user engagement in design and testing is necessary in future mHealth literacy tool development