Overcoming the gender bias in ecology and evolution: is the double-anonymized peer review an effective pathway over time?

Male researchers dominate scientific production in science, technology, engineering, and mathematics (STEM). However, potential mechanisms to avoid this gender imbalance remain poorly explored in STEM, including ecology and evolution areas. In the last decades, changes in the peer-review process towards double-anonymized (DA) have increased among ecology and evolution (EcoEvo) journals. Using comprehensive data on articles from 18 selected EcoEvo journals with an impact factor >1, we tested the effect of the DA peer-review process in female-leading (i.e., first and senior authors) articles. We tested whether the representation of female-leading authors differs between double and single-anonymized (SA) peer-reviewed journals. Also, we tested if the adoption of the DA by previous SA journals has increased the representativeness of female-leading authors over time. We found that publications led by female authors did not differ between DA and SA journals. Moreover, female-leading articles did not increase after changes from SA to DA peer-review. Tackling female underrepresentation in science is a complex task requiring many interventions. Still, our results highlight that adopting the DA peer-review system alone could be insufficient in fostering gender equality in EcoEvo scientific publications. Ecologists and evolutionists understand how diversity is important to ecosystems' resilience in facing environmental changes. The question remaining is: why is it so difficult to promote and keep this "diversity" in addition to equity and inclusion in the academic environment? We thus argue that all scientists, mentors, and research centers must be engaged in promoting solutions to gender bias by fostering diversity, inclusion, and affirmative measures.

The Italian contribution to pediatric sleep medicine: A scientometric analysis.

We conducted the first scientometric analysis to quantitatively assess the scientific contribution of researchers from Italian institutions in the field of pediatric sleep medicine. We searched Science Citation Index Expanded from Web of Science (WOS) Science Citation up to November 3rd, 2022. Bibliometrix R packages (3.1.4) and CiteSpace (6.0.R2) were used to extract and analyze co-citation reference networks, co-occurring keyword networks, co-authorship network, co-cited institutions, and co-cited journals. We retrieved a total of 2499 documents, published between 1975 and 2022. Co-cited reference networks showed four main clusters of highly cited topics: evidence synthesis of publications on sleep disorders in children and adolescents, sleep and neurological disorders, non-pharmacological treatments of sleep disturbances, and sleep and Covid-19 in youth. Co-occurring keyword networks showed an earlier focus on the neurophysiology of sleep/neurological disorders, followed by a trend on the association of sleep disturbances to neurodevelopmental disorders and behavioral aspects. Co-authorship network showed that Italian researchers in the field of pediatric sleep medicine tend to be highly collaborative internationally. Overall, Italian researchers have provided a crucial contribution to pediatric sleep medicine across a number of specific topics, spanning from neurophysiology to treatment, and from neurological to behavioral/psychopathological aspects.

Lessons learned to enable question answering on knowledge graphs extracted from scientific publications: A case study on the coronavirus literature.

The article presents a workflow to create a question-answering system whose knowledge base combines knowledge graphs and scientific publications on coronaviruses. It is based on the experience gained in modeling evidence from research articles to provide answers to questions in natural language. The work contains best practices for acquiring scientific publications, tuning language models to identify and normalize relevant entities, creating representational models based on probabilistic topics, and formalizing an ontology that describes the associations between domain concepts supported by the scientific literature. All the resources generated in the domain of coronavirus are available openly as part of the Drugs4COVID initiative, and can be (re)-used independently or as a whole. They can be exploited by scientific communities conducting research related to SARS-CoV-2/COVID-19 and also by therapeutic communities, laboratories, etc., wishing to find and understand relationships between symptoms, drugs, active ingredients and their documentary evidence.

How much do we care about teacher job insecurity during the pandemic? A bibliometric review.

In this study, a descriptive bibliometric analysis of the scientific production in the Web of Science on job insecurity perceived by teachers in pandemic situations was carried out. The result shows the growing interest in the topic with an upward trend with an annual growth of 41.52%. Forty-seven papers from 41 journals with 2,182 cited references were considered, with 149 researchers from 30 countries publishing at least one article. The country with the most publications was the United States, followed by Germany and Spain. The United States was the country with the most collaborations. A total of 95 institutions published papers, and the universities with the most registrations were Miami University and the University of the Basque Country, although York University and the University of the Basque Country had a higher overall citation coefficient (102 and 40, respectively). Of the 41 journals that have published on the topic, Frontiers in Education and the British Journal of Educational Psychology stood out in terms of their article numbers. However, this last one was superior in terms of the overall number of citations per year, followed by Frontiers of Psychology.

The emotion bias of health product consumers in the context of COVID-19.

The ongoing COVID-19 has led to an increase in negative emotions and health awareness among consumers. This paper discusses the emotion bias of Chinese consumers during the three periods: the pre-COVID-19 period, the COVID-19 lockdown period, and the COVID-19 normalization period. This study takes health products as the research object and crawls relevant reviews on the JD platform to classify products. The data were classified into emotion, the intensity of emotion was calculated, and the logistic regression model and variance analysis were used to analyze the difference in emotion expression. The study reveals that consumers are willing to express fear and sadness during the COVID-19 lockdown era and are willing to express like emotions before the pandemic compared to the three periods. There are also differences in the emotional intensity of different product reviews. The intensity of emotional expression is more vigorous for consumers who purchase nutritional products, while for those who purchase healthcare equipment, the intensity of emotional expression is lower. This study offers the emotion bias of consumers in response to COVID-19 to provide a theoretical basis and reference solution for implementing marketing strategies for health product companies.

Political endorsement by Nature and trust in scientific expertise during COVID-19.

High-profile political endorsements by scientific publications have become common in recent years, raising concerns about backlash against the endorsing organizations and scientific expertise. In a preregistered large-sample controlled experiment, I randomly assigned participants to receive information about the endorsement of Joe Biden by the scientific journal Nature during the COVID-19 pandemic. The endorsement message caused large reductions in stated trust in Nature among Trump supporters. This distrust lowered the demand for COVID-related information provided by Nature, as evidenced by substantially reduced requests for Nature articles on vaccine efficacy when offered. The endorsement also reduced Trump supporters' trust in scientists in general. The estimated effects on Biden supporters' trust in Nature and scientists were positive, small and mostly statistically insignificant. I found little evidence that the endorsement changed views about Biden and Trump. These results suggest that political endorsement by scientific journals can undermine and polarize public confidence in the endorsing journals and the scientific community.

Analysis of citation trends to identify articles on delirium worth reading using DDPP model with temporal heatmaps (THM): A bibliometric analysis.

BACKGROUND: Delirium is one of the most common geriatric syndromes in older patients, accounting for 25% of hospitalized older patients, 31 to 35% of patients in the intensive care unit, and 8% to 17% of older patients in the emergency department (ED). A number of articles have been published in the literature regarding delirium. However, it is unclear about article citations evolving in the field. This study proposed a temporal heatmap (THM) that can be applied to all bibliographical studies for a better understanding of cited articles worth reading. METHODS: As of November 25, 2022, 11,668 abstracts published on delirium since 2013 were retrieved from the Web of Science core collection. Research achievements were measured using the CJAL score. Social network analysis was applied to examine clusters of keywords associated with core concepts of research. A THM was proposed to detect articles worth reading based on recent citations that are increasing. The 100 top-cited articles related to delirium were displayed on an impact beam plot (IBP). RESULTS: The results indicate that the US (12474), Vanderbilt University (US) (634), Anesthesiology (2168), and Alessandro Morandi (Italy) (116) had the highest CJAL scores in countries, institutes, departments, and authors, respectively. Articles worthy of reading were highlighted on a THM and an IBP when an increasing trend of citations over the last 4 years was observed. CONCLUSION: The THM and IBP were proposed to highlight articles worth reading, and we recommend that more future bibliographical studies utilize the 2 visualizations and not restrict them solely to delirium-related articles in the future.

Digital Forms of Commensality in the 21st Century: A Scoping Review.

The social act of eating together has been influenced and mediated by technologies in recent decades. This phenomenon has been investigated in different academic fields, but the topic is still in an incipient dimension, and there is a lack of consensus regarding terminology and definitions. The study aimed to characterize the main scientific findings regarding digital forms of commensality in the 21st century and to identify possible relationships between these practices and public health. A scoping review was conducted to identify papers published in different languages between 2001 and 2021. A total of 104 publications that combined commensality and technology in all contexts were included. Most studies were qualitative; from the Design and Technology field; used social media and video platforms or prototypes/augmented reality gadgets; and used different terms to refer to digital forms of commensality, allowing the analysis of the construction of field definitions over time. The intersections with health were observed from impacts on family/community engagement, culinary skills development, and mental health and eating habits. These practices also structured specific social interactions, such as virtual food communities and commensality, during the COVID-19 pandemic. This paper indicates the consistent growth of these practices and recommends the development of future research for theoretically and longitudinally deeper evaluations of the impacts of these new ways of eating together, especially regarding their effects on human health.

Progress of Section "Biochemistry" in 2022.

Of more than 16,400 papers published in 2022 in International Journal of Molecular Sciences [...].

[The year 2022 placed in perspective by hospital internists]. / Année 2022 mise en perspective par les internistes hospitaliers.

According to PubMed statistics when writing this review, the year 2022 is expected to mark the first dip in the number of articles published in relation to the Covid-19 pandemic. This review, without any mention to Sars-CoV-2, highlight this transition and addresses many topics in internal medicine: gastroenterology, cardiology, endocrinology, respiratory medicine, infectious diseases and venous access. Each year, the chief residents of the internal medicine ward in Lausanne university hospital (CHUV) in Switzerland meet up to share their readings: here is a selection of ten articles that have caught our attention, summarized and commented for you, which should change our daily practice.

D'après les statistiques PubMed au moment de la rédaction de cette revue, l'année 2022 devrait marquer le premier infléchissement du nombre d'articles publiés en relation avec la pandémie de Covid-19. Cette revue d'articles, sans écho au Sars-CoV-2, souligne cette transition et aborde de nombreux sujets de la médecine interne : gastroentérologie, cardiologie, endocrinologie, pneumologie, infectiologie et accès veineux. Chaque année, les cheffes et chefs de clinique du Service de médecine interne du CHUV se réunissent pour partager leurs lectures : voici une sélection de dix articles ayant retenu notre attention, revus et commentés pour vous, et qui devraient faire évoluer notre pratique quotidienne.

COVID-19 and Water Variables: Review and Scientometric Analysis.

COVID-19 has changed the world since 2020, and the field of water specifically, boosting scientific productivity (in terms of published articles). This paper focuses on the influence of COVID-19 on scientific productivity with respect to four water variables: (i) wastewater, (ii) renewable water resources, (iii) freshwater withdrawal, and (iv) access to improved and safe drinking water. The field's literature was firstly reviewed, and then the maps were built, emphasizing the strong connections between COVID-19 and water-related variables. A total of 94 countries with publications that assess COVID-19 vs. water were considered and evaluated for how they clustered. The final step of the research shows that, on average, scientific productivity on the water topic was mostly conducted in countries with lower COVID-19 infection rates but higher development levels as represented by gross domestic product (GDP) per capita and the human development index (HDI). According to the statistical analysis, the water-related variables are highly significant, with positive coefficients. This validates that countries with higher water-related values conducted more research on the relationship with COVID-19. Wastewater and freshwater withdrawal had the highest impact on the scientific productivity with respect to COVID-19. Access to safe drinking water becomes insignificant in the presence of the development parameters.

COVIDScholar: An automated COVID-19 research aggregation and analysis platform.

The ongoing COVID-19 pandemic produced far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 response lead to the emergence of new research at the remarkable rate of more than 250 papers published per day. This posed a challenge for the scientific community as traditional methods of engagement with the literature were strained by the volume of new research being produced. Meanwhile, the urgency of response lead to an increasingly prominent role for preprint servers and a diffusion of relevant research through many channels simultaneously. These factors created a need for new tools to change the way scientific literature is organized and found by researchers. With this challenge in mind, we present an overview of COVIDScholar https://covidscholar.org, an automated knowledge portal which utilizes natural language processing (NLP) that was built to meet these urgent needs. The search interface for this corpus of more than 260,000 research articles, patents, and clinical trials served more than 33,000 users at an average of 2,000 monthly active users and a peak of more than 8,600 weekly active users in the summer of 2020. Additionally, we include an analysis of trends in COVID-19 research over the course of the pandemic with a particular focus on the first 10 months, which represents a unique period of rapid worldwide shift in scientific attention.

Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach.

BACKGROUND: Extracting relevant information about infectious diseases is an essential task. However, a significant obstacle in supporting public health research is the lack of methods for effectively mining large amounts of health data. OBJECTIVE: This study aims to use natural language processing (NLP) to extract the key information (clinical factors, social determinants of health) from published cases in the literature. METHODS: The proposed framework integrates a data layer for preparing a data cohort from clinical case reports; an NLP layer to find the clinical and demographic-named entities and relations in the texts; and an evaluation layer for benchmarking performance and analysis. The focus of this study is to extract valuable information from COVID-19 case reports. RESULTS: The named entity recognition implementation in the NLP layer achieves a performance gain of about 1-3% compared to benchmark methods. Furthermore, even without extensive data labeling, the relation extraction method outperforms benchmark methods in terms of accuracy (by 1-8% better). A thorough examination reveals the disease's presence and symptoms prevalence in patients. CONCLUSIONS: A similar approach can be generalized to other infectious diseases. It is worthwhile to use prior knowledge acquired through transfer learning when researching other infectious diseases.

Thirty years of research on physical activity, mental health, and wellbeing: A scientometric analysis of hotspots and trends.

The sheer volume of research publications on physical activity, mental health, and wellbeing is overwhelming. The aim of this study was to perform a broad-ranging scientometric analysis to evaluate key themes and trends over the past decades, informing future lines of research. We searched the Web of Science Core Collection from inception until December 7, 2021, using the appropriate search terms such as "physical activity" or "mental health," with no limitation of language or time. Eligible studies were articles, reviews, editorial material, and proceeding papers. We retrieved 55,353 documents published between 1905 and 2021. The annual scientific production is exponential with a mean annual growth rate of 6.8% since 1989. The 1988-2021 co-cited reference network identified 50 distinct clusters that presented significant modularity and silhouette scores indicating highly credible clusters (Q = 0.848, S = 0.939). This network identified 6 major research trends on physical activity, namely cardiovascular diseases, somatic disorders, cognitive decline/dementia, mental illness, athletes' performance, related health issues, and eating disorders, and the COVID-19 pandemic. A focus on the latest research trends found that greenness/urbanicity (2014), concussion/chronic traumatic encephalopathy (2015), and COVID-19 (2019) were the most active clusters of research. The USA research network was the most central, and the Chinese research network, although important in size, was relatively isolated. Our results strengthen and expand the central role of physical activity in public health, calling for the systematic involvement of physical activity professionals as stakeholders in public health decision-making process.