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Abstract Background Moral distress, or the inability to carry out what one believes to be ethically appropriate because of constraints or barriers, is understudied in obstetrics and gynecology. We sought to characterize moral distress among Maternal-Fetal Medicine (MFM) fellows using a standardized survey. Methods We disseminated a national anonymized survey study of MFM fellows electronically regarding moral distress using a validated questionnaire with supplemental questions pertaining to specific challenges within MFM clinical care. Multivariable linear regression modeling was used to examine the association between abortion restrictions, maternal mortality, and moral distress, controlling for demographic variables. Thematic analysis was performed for the free text responses elaborating upon moral distress and grouped by thematic elements. We hypothesized that training in states with more abortion restrictions and higher maternal mortality would be associated with higher moral distress scores. Results Among 245 total responses (61% response rate), 177 complete responses (44% complete response rate) were included for analysis. Most of our respondents identified as female (78.5%), White (71.8%), and training in urban programs (83.1%). 37.9% of respondents reported training in the Northeast, with the remainder of respondents evenly distributed across the United States. The mean score for the validated questions was 85.9 ± 48.8, with female gender identity associated with higher measures of moral distress on the validated portion of the questionnaire as compared to male gender identity (90.1 ± 49.2 vs. 70.4 ± 44.7, p

Hazard reduction burns could pose a significant conservation challenge to threatened habitat specialists, such as koalas Phascolarctos cinereus. This study examines the immediate effects of a medium to hot hazard reduction burn on a small number of koalas occupying a fragmented agricultural area. Three koalas being monitored using GPS telemetry were inadvertently exposed to fire in a small strip of roadside vegetation in an agricultural landscape, providing an unexpected opportunity to assess their immediate responses to the fire. Nearly 81 % of available trees were burnt to some degree, with 31 % of tree foliage scorched up to 10.2 m above the ground. The koalas reduced their home range sizes by 20–54 % post-fire, where two avoided burnt areas while one remained within them. These findings highlight the importance of maintaining unburnt patches and corridors in fragmented landscapes and developing comprehensive conservation plans to mitigate the adverse effects of fire on koalas and other arboreal fauna.

Ethical aspects of research continue to gain attention, be that in the process of proposing and planning research or performing, documenting or publishing it. One of the ways in which this trend manifests itself is the increasingly common addition of ethics statements to publications in fields like biomedicine, psychology or ethnography. Such ethics statements in publications provide the reader with a window into some of the practical yet typically hidden aspects of research ethics. As more and more publications are becoming available in full text and in machine readable formats through repositories like Europe PubMed Central, we propose to mine the literature for ethics statements and to extract information about the various aspects of research ethics that they address. The more standardized these statements are, the better the mined materials can be converted into structured and queryable information that can in turn be used to inform efforts towards higher levels of standardization in research ethics. This paper sketches out the motivation for such mining and outlines some methodological approaches that could be leveraged towards this end.

This case study describes the development and implementation of a governance structure that prioritised First Nations peoples in a local public health Incident Command System activated for the COVID-19 pandemic response in New South Wales, Australia. Using lessons learnt from past pandemics and planning exercises, public health leaders embedded an approach whereby First Nations peoples determined and led community and culturally informed pandemic control strategies and actions.In March 2020, First Nations governance was embedded into the local public health emergency response to COVID-19 in the Hunter New England region of New South Wales, Australia, enabling First Nations staff and community members to actively participate in strategic and operational decision-making with the objective of minimising COVID-19-related risks to First Nations peoples and communities. The model provided cultural insight and oversight to the local COVID-19 response; strengthened and advanced First Nations leadership; increased the First Nations public health workforce; led the development of First Nations disease surveillance strategies; and supported working groups to appropriately respond to local needs and priorities. This model demonstrates the feasibility of reframing a standard Incident Command System to embed and value First Nations principles of self-determination and empowerment to appropriately plan and respond to public health emergencies.

Twitter is in turmoil and the scholarly community on the platform is once again starting to migrate. As with the early internet, scholarly organizations are at the forefront of developing and implementing a decentralized alternative to Twitter, Mastodon. Both historically and conceptually, this is not a new situation for the scholarly community. Historically, scholars were forced to leave social media platform FriendFeed after it was bought by Facebook in 2006. Conceptually, the problems associated with public scholarly discourse subjected to the whims of corporate owners are not unlike those of scholarly journals owned by monopolistic corporations: in both cases the perils associated with a public good in private hands are palpable. For both short form (Twitter/Mastodon) and longer form (journals) scholarly discourse, decentralized solutions exist, some of which are already enjoying some institutional support. Here we argue that scholarly organizations, in particular learned societies, are now facing a golden opportunity to rethink their hesitations towards such alternatives and support the migration of the scholarly community from Twitter to Mastodon by hosting Mastodon instances. Demonstrating that the scholarly community is capable of creating a truly public square for scholarly discourse, impervious to private takeover, might renew confidence and inspire the community to focus on analogous solutions for the remaining scholarly record—encompassing text, data and code—to safeguard all publicly owned scholarly knowledge.

Julia Creek dunnarts are an endangered species of carnivorous marsupials and the focus of multiple conservation strategies involving significant resources such as captive breeding programs. Despite the relevance for conservation, no study to date has focused on evaluating geriatric diseases in dunnarts. This study describes the pathology findings in a group of one wild and thirty-five captive-born, mostly geriatric Julia Creek dunnarts that failed to produce offspring over multiple breeding periods. A total of 20 females and 16 males were submitted for a postmortem examination, with ages ranging from 9 to 42 and 12 to 42 months for females and males, respectively. Of these, 10 had unremarkable findings. The most common condition in females was cystic glandular hyperplasia (n = 8), typical of hormonal dysregulation profiles in senescence, particularly hyperestrogenism. Rarely, cutaneous disease represented by unidentified dermal round cell infiltrates was observed in females (n = 2). Primary reproductive hormonal dysregulation was also suspected in males diagnosed with testicular degeneration, aspermatogenesis and/or atrophy (n = 3). Cutaneous round cell infiltrates, possibly compatible with epitheliotropic lymphomas, were seen in males (n = 3), and 2/3 affected males also had concurrent testicular degeneration or atrophy, indicating male sex could be a predictor for lymphoid neoplasia in aged dunnarts, especially in individuals with concurrent testosterone-luteinizing hormone dysregulation as it occurs in gonadectomized animals. The role of an underlying viral etiology is also explored. This study is the first to describe major spontaneous diseases in endangered aged Julia Creek dunnarts, providing an important understanding of senescence and geriatric diseases within a conservation context.

A pandemic changes the world and changes libraries.

Effective conservation strategies rely on knowledge of seasonal and social drivers of animal behaviour. Koalas are generally solitary and their social arrangement appears to rely on vocal and chemical signalling. Male koala vocalisations, known as bellows, are believed to be closely related to their breeding behaviour. Previous research suggests that oestrous female koalas use bellows to locate unique males to mate with, and that males can similarly use bellows to evaluate the physical attributes of their peers. We tested the behavioural responses of 20 free ranging koalas to bellow recordings collected from small (8.5 kg) adult male koalas. Individual koala movement was reported by hourly-uploaded GPS coordinates. We report evidence of intra-male competition, with adult males approaching bellow playbacks, particularly those from small-sized males. In contrast, males under three years of age were averse to the playbacks. No patterns in the response of females were detected. Our results provide the strongest evidence yet that bellows are primarily a means by which males occupy and control space during the breeding season. Future studies are required to see if female response to bellows depends on their reproductive status.

It’s tough for Peter getting out of bed today – yesterday he travelled to Brussels and back, fighting for ‘The Right to Read is the Right to Mine’ (R2RR2M). Content mining – also known as text and data mining (TDM) – is a hot topic in Europe. It’s got huge promise, with two million scholarly publications a year and so much data that we can’t take it all in – 5,000 papers a day (and grey literature, and theses, and…). So we must have machines to help.

What makes a vibrant community? A shared vision! When we live into a shared vision, we can accomplish big goals even when our motivations are not completely aligned.

STMML is an XML-based markup language covering many generic aspects of scientific information. It has been developed as a re-usable core for more specific markup languages. It supports data structures, data types, metadata, scientific units and some basic components of scientific narrative. The central means of adding semantic information is through dictionaries. The specification is through an XML Schema which can be used to validate STMML documents or fragments. Many examples of the language are given.

Recent developments on the World-Wide Web provide an unparalleled opportunity to revolutionise scientific, technical and medical publication. The technology exists for the scientific world to use primary publication to create a knowledge base, or Semantic Web, with a potential greatly beyond the paper archives and electronic databases of today.

Chemistry text mining tools should be interoperable and adaptable regardless of system-level implementation, installation or even programming issues. We aim to abstract the functionality of these tools from the underlying implementation via reconfigurable workflows for automatically identifying chemical names. To achieve this, we refactored an established named entity recogniser (in the chemistry domain), OSCAR and studied the impact of each component on the net performance. We developed two reconfigurable workflows from OSCAR using an interoperable text mining framework, U-Compare. These workflows can be altered using the drag-&-drop mechanism of the graphical user interface of U-Compare. These workflows also provide a platform to study the relationship between text mining components such as tokenisation and named entity recognition (using maximum entropy Markov model (MEMM) and pattern recognition based classifiers). Results indicate that, for chemistry in particular, eliminating noise generated by tokenisation techniques lead to a slightly better performance than others, in terms of named entity recognition (NER) accuracy. Poor tokenisation translates into poorer input to the classifier components which in turn leads to an increase in Type I or Type II errors, thus, lowering the overall performance. On the Sciborg corpus, the workflow based system, which uses a new tokeniser whilst retaining the same MEMM component, increases the F-score from 82.35% to 84.44%. On the PubMed corpus, it recorded an F-score of 84.84% as against 84.23% by OSCAR.