Gender, Sexual Orientation, Ethnicity and Socioeconomic Factors Influence How Wildland Firefighters Communicate their Work Experiences

As Climates Change, Natural Resource Professionals Are Often Working on the Frontlines of Intensifying Environmental Disasters, Acting in Both Scientific and Emergency Response Roles. One Subset of This Group, Wildland Firefighters Often Engage in Multifaceted Careers that Incorporate Elements of Resource Planning, Conservation Management, Community Disaster Relief, and Operational Management. Despite These STEM Roles and Nearly Half (48%) of Them Having Earned at Least a bachelor\u27s degree, usually in a STEM Field, Wildland Firefighters Are Almost Exclusively Lumped with Emergency Responders in the Scientific Literature. We Surveyed 708 Wildland Firefighters with 9 Open Response Questions as Part of a Larger Survey Asking About Experiences and Attitudes in the United States Federal Workplace. from their Responses and Voluntarily Provided Demographic Data, We Extracted Information About Response Length, Use of Hedges, Tag Questions and Imperatives, Use of Personal Language, Use of Expletives and Derogatory Language, Use of Apologetic Language, and the Types of Responses Provided. We Then Analyzed Whether Certain Demographic and Socioeconomic Factors Were Statistical Predictors of Language Use in Wildland Firefighter Survey Responses with the Goal of Ultimately Providing a Framework for Differentiating and Identifying Factors that May Influence Employee Retention, Attitudes, Morale, and Experiences among Wildland Firefighter Sub-Demographics. We Found that Different Demographic Groups Varied in their Responses to Questions: Minority Groups Used Fewer Words and Were More Likely to Relate Personal Experiences Than Majority Groups

Transvaginal ultrasonography of the endometrium in women with postmenopausal bleeding--a Nordic multicenter study

OBJECTIVE: The purpose of this study was to use transvaginal ultrasonographic measurements to find the thickness of the endometrium below which the risk of endometrial abnormality in women with postmenopausal bleeding is low. STUDY DESIGN: This multicenter study was carried out at eight clinics in four Nordic countries. The study included 1168 women with postmenopausal bleeding scheduled for curettage Before the curettage was performed, the thickness of the endometrium was measured with transvaginal ultrasonography. The measurement included both endometrial layers (double-layer technique). The transvaginal ultrasonographic measurement was compared with the histopathologic diagnosis of the curettage specimens. RESULTS: In women with atrophic endometrium the mean endometrial thickness (+/- SD) was 3.9 +/- 2.5 mm. The corresponding figures for women with endometrial cancer were 21.1 +/- 11.8 mm. No malignant endometrium was thinner than 5 mm. In 30 women (2.8%) it was not possible to measure the thickness of the endometrium; one of these women had endometrial cancer. The 95% confidence limit for the probability of excluding endometrial abnormality was 5.5% when the endometrial thickness was < or = 4 mm as measured by transvaginal ultrasonography. CONCLUSION: The risk of finding pathologic endometrium at curettage when the endometrium is < or = 4 mm as measured by transvaginal ultrasonography is 5.5%. Thus in women with postmenopausal bleeding and an endometrium < or = 4 mm it would seem justified to refrain from curettage

A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study.

To prospectively assess an innovative computer-aided diagnostic technology that quantifies characteristic features of backscattered ultrasound and theoretically allows transvaginal sonography (TVS) to discriminate benign from malignant adnexal masses.Evaluation StudiesJournal ArticleMulticenter StudyValidation StudiesSCOPUS: ar.jinfo:eu-repo/semantics/publishe

The Bee Microbiome: Impact on Bee Health and Model for Evolution and Ecology of Host-Microbe Interactions

As pollinators, bees are cornerstones for terrestrial ecosystem stability and key components in agricultural productivity. All animals, including bees, are associated with a diverse community of microbes, commonly referred to as the microbiome. The bee microbiome is likely to be a crucial factor affecting host health. However, with the exception of a few pathogens, the impacts of most members of the bee microbiome on host health are poorly understood. Further, the evolutionary and ecological forces that shape and change the microbiome are unclear. Here, we discuss recent progress in our understanding of the bee microbiome, and we present challenges associated with its investigation. We conclude that global coordination of research efforts is needed to fully understand the complex and highly dynamic nature of the interplay between the bee microbiome, its host, and the environment. High-throughput sequencing technologies are ideal for exploring complex biological systems, including host-microbe interactions. To maximize their value and to improve assessment of the factors affecting bee health, sequence data should be archived, curated, and analyzed in ways that promote the synthesis of different studies. To this end, the BeeBiome consortium aims to develop an online database which would provide reference sequences, archive metadata, and host analytical resources. The goal would be to support applied and fundamental research on bees and their associated microbes and to provide a collaborative framework for sharing primary data from different research programs, thus furthering our understanding of the bee microbiome and its impact on pollinator health

The Bee Microbiome: Impact on Bee Health and Model for Evolution and Ecology of Host-Microbe Interactions.

As pollinators, bees are cornerstones for terrestrial ecosystem stability and key components in agricultural productivity. All animals, including bees, are associated with a diverse community of microbes, commonly referred to as the microbiome. The bee microbiome is likely to be a crucial factor affecting host health. However, with the exception of a few pathogens, the impacts of most members of the bee microbiome on host health are poorly understood. Further, the evolutionary and ecological forces that shape and change the microbiome are unclear. Here, we discuss recent progress in our understanding of the bee microbiome, and we present challenges associated with its investigation. We conclude that global coordination of research efforts is needed to fully understand the complex and highly dynamic nature of the interplay between the bee microbiome, its host, and the environment. High-throughput sequencing technologies are ideal for exploring complex biological systems, including host-microbe interactions. To maximize their value and to improve assessment of the factors affecting bee health, sequence data should be archived, curated, and analyzed in ways that promote the synthesis of different studies. To this end, the BeeBiome consortium aims to develop an online database which would provide reference sequences, archive metadata, and host analytical resources. The goal would be to support applied and fundamental research on bees and their associated microbes and to provide a collaborative framework for sharing primary data from different research programs, thus furthering our understanding of the bee microbiome and its impact on pollinator health