bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England
Authors: Campling James , Begier Elizabeth , Vyse Andrew , Hyams Catherine , Heaton Dave , Southern Jo , Finn Adam , Madhava Harish , Gessner Bradford D. , Ellsbury Gillian 
Published: July 2022

Abstract
While incidence studies based on hospitalisation counts are commonly used for public health decision-making, no standard methodology to define hospitals' catchment population exists. We conducted a review of all published community-acquired pneumonia studies in England indexed in PubMed and assessed methods for determining denominators when calculating incidence in hospital-based surveillance studies. Denominators primarily were derived from census-based population estimates of local geographic boundaries and none attempted to determine denominators based on actual hospital access patterns in the community. We describe a new approach to accurately define population denominators based on historical patient healthcare utilisation data. This offers benefits over the more established methodologies which are dependent on assumptions regarding healthcare-seeking behaviour. Our new approach may be applicable to a wide range of health conditions and provides a framework to more accurately determine hospital catchment. This should increase the accuracy of disease incidence estimates based on hospitalised events, improving information available for public health decision making and service delivery planning.
Current status of the Critically Endangered Black-winged Trumpeter Psophia obscura in one of its last strongholds
Authors: CARVALHO ELILDO A. R. , MENDONÇA ELOÍSA N. , LOPES ALEXANDRE M. C. , HAUGAASEN TORBJØRN 
Published: July 2022

Summary
The ‘Critically Endangered’ Black-winged Trumpeter Psophia obscura is endemic to the Belém Centre of Endemism in extreme eastern Amazonia and has a declining population and range. Here we report on a five-year (2016–2020) systematic camera-trap (n = 61) study of the species in Gurupi Biological Reserve, one of its most important conservation areas. We used a multi-season occupancy model to identify factors affecting occupancy rates and to assess occupancy trends in the reserve. Occupancy was negatively related to elevation and site-level tree density, and was positively related to post-logging recovery times. Average annual occupancy rates remained stable throughout the study period (ranging between 0.57 and 0.67) and this stability was largely driven by high between-year survival rates. Results confirm that the Black-winged Trumpeter is an interior-forest specialist that is highly sensitive to forest disturbance, which underlines the importance of the Gurupi Biological Reserve as a core site for the conservation of the species. However, the species is long-lived, so continuous monitoring is needed to further clarify population trends. We also recommended that the status of the species in other forest remnants, most of which remain unprotected, is assessed.
STEM/STEAM 2022
Authors: Humphrey Elaine 
Published: July 2022

Abstract:
Many universities, commercial companies, and science organizations who use microscopy have outreach programs. The members of such generally love to share their enthusiasm and passion with the next generation. Content and confidence on providing such a program often comes from sharing ideas with like-minded scientists. These programs are typically delegated with the acronym STEM or STEAM: science, technology, engineering, art, and math. One of MSA's outreach programs is ProjectMICRO. Included are some STEAM ideas to share.
Variation in placental microRNA expression associates with maternal family history of cardiovascular disease
Authors: Tehrani Jesse M. , Kennedy Elizabeth M. , Tian Fu-Ying , Everson Todd M. , Deyssenroth Maya , Burt Amber , Hermetz Karen , Hao Ke , Chen Jia , Koestler Devin C. , Marsit Carmen J. 
Published: July 2022

AbstractIn the United States, cardiovascular disease is the leading cause of death and the rate of maternal mortality remains among the highest of any industrialized nation. Maternal cardiometabolic health throughout gestation and postpartum is representative of placental health and physiology. Both proper placental functionality and placental microRNA expression are essential to successful pregnancy outcomes, and both are highly sensitive to genetic and environmental sources of variation. Placental pathologies, such as preeclampsia, are associated with maternal cardiovascular health but may also contribute to the developmental programming of chronic disease in offspring. However, the role of more subtle alterations to placental function and microRNA expression in this developmental programming remains poorly understood. We performed small RNA sequencing to investigate microRNA in placentae from the Rhode Island Child Health Study (n = 230). MicroRNA counts were modeled on maternal family history of cardiovascular disease using negative binomial generalized linear models. MicroRNAs were considered to be differentially expressed at a false discovery rate (FDR) less than 0.10. Parallel mRNA sequencing data and bioinformatic target prediction software were then used to identify potential mRNA targets of differentially expressed microRNAs. Nine differentially expressed microRNAs were identified (FDR < 0.1). Bioinformatic target prediction revealed 66 potential mRNA targets of these microRNAs, many of which are implicated in TGFβ signaling pathway but also in pathways involving cellular metabolism and immunomodulation. A robust association exists between familial cardiovascular disease and placental microRNA expression which may be implicated in both placental insufficiencies and the developmental programming of chronic disease.
Evaluation of competency-driven training for facilitators delivering a psychological intervention for children in Lebanon: a proof-of-concept study
Authors: Jordans M. J. D. , Steen F. , Koppenol-Gonzalez G. V. , El Masri R. , Coetzee A. R. , Chamate S. , Ghatasheh M. , Pedersen G. A. , Itani M. , El Chammay R. , Schafer A. , Kohrt B. A. 
Published: July 2022

Abstract

Aims
The mounting evidence for effective delivery of psychological interventions by non-specialists in low- and middle-income settings has led to a rapid expansion of mental health and psychosocial support trainings globally. As such, there is a demand for strategies on how to train and implement these services to attain adequate quality. This study aims to evaluate the added value of a competency-driven approach to training of facilitators for a group intervention for children with severe emotional distress in Lebanon.

Methods
In a controlled before and after study, 24 trainees were randomly allocated to participate in either a competency-driven training (CDT) or training-as-usual (TAU) (1 : 1) for a psychological intervention for children with severe emotional distress. We assessed the change in demonstrated competencies, using standardised role-plays, before and after the training. Measures included the 13-item Working with children-Assessment of Competencies Tool (WeACT), the 15-item ENhancing Assessment of Common Therapeutic factors (ENACT) and the 6-item Group facilitation: Assessment of Competencies Tool (GroupACT). The trainer in the experimental arm used pre-training and during training competency assessment scores to make real-time adjustment to training delivery. Due to COVID-19 pandemic restrictions, all activities were done remotely.

Results
CDT resulted in significantly better outcomes on increasing competencies on the WeACT (repeated measures analysis of variance; F(1, 22) = 6.49, p < 0.018) and on the GroupACT (Mann–Whitney U = 22, p < 0.003), though not statistically significant on the ENACT. There is no significant between-group difference on the reduction of harmful behaviours, mainly because both forms of training appear equally successful in eliminating such behaviours.

Conclusions
This proof-of-concept study demonstrates the potential of CDT, using standardised assessment of trainee competencies, to contribute to better training outcomes without extending the duration of training. CDT can result in up to 18% greater increase in adequate competency, when compared to TAU. The study also yields recommendations for further enhancing the benefits of competency-driven strategies. A fully powered trial is needed to confirm these findings.
Justifying Representation of Future Generations and Nature: Contradictory or Mutually Supporting Values?
Authors: Lawrence Peter 
Published: July 2022

AbstractAt first blush, normative arguments justifying representation of future generations and nature appear to rest on contradictory values. This article argues, however, that there are strong synergies between these discourses. Arguments for institutions for future generations based on human rights are compared with justifications for proxy representation of nature based on ecological justice, Indigenous ecological justice and socio-ecological justice. Case studies involving the Welsh Commissioner for Future Generations, the Aotearoa New Zealand Parliamentary Commissioner for the Environment, and ascribing legal personality to rivers in Australia and Aotearoa New Zealand, are presented to demonstrate that representing future generations and nature reflect mutually supporting values. Building on these synergies is vital for reform efforts.
Online Identification of Obsessive-Compulsive Symptoms and Relevant Factors in Patients with Covid-19 in Turkey During Quarantine
Authors: Havlioglu Suzan , Kahraman Selma , Kizir Yusuf , Acar Ufuk 
Published: July 2022

Abstract. Aim: Via online interviews, this study identifies the obsessive-compulsive symptoms (OCSs) of patients diagnosed with Covid-19 and quarantined at home for 14 days, to determine the incidence of these symptoms, to detect OCSs in the early period, and to identify the associated risk factors. Method: This research was designed as a descriptive and cross-sectional study. The study population consisted of patients who had tested positive in the real-time PCR test for Covid-19 and were quarantined at home in the Şanlıurfa Province of Turkey. The study sample comprised 800 patients contacted between January and April 2021. The data were collected online using a questionnaire that included sociodemographic characteristics, questions on postinfection changes, and the Padua Inventory, a valid tool for determining the level of OCSs. Results: The frequency of obsessive-compulsive symptoms during quarantine was calculated as 11.2%, and the mean Padua Inventory score was 48.19 ± 19.17. Conclusion: The results of this study show that patients quarantined at home for 14 days with the diagnosis of Covid-19 are less likely to exhibit obsessive-compulsive symptoms during this period. It also shows that the risk of OCSs was lower particularly in patients who had completed a university or higher education and had no previous psychiatric disease or chronic disease diagnosis.
Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks
Authors: Labe Zachary M. , Barnes Elizabeth A. 
Published: July 2022

AbstractEvaluating historical simulations from global climate models (GCMs) remains an important exercise for better understanding future projections of climate change and variability in rapidly warming regions, such as the Arctic. As an alternative approach for comparing climate models and observations, we set up a machine learning classification task using a shallow artificial neural network (ANN). Specifically, we train an ANN on maps of annual mean near‐surface temperature in the Arctic from a multi‐model large ensemble archive in order to classify which GCM produced each temperature map. After training our ANN on data from the large ensembles, we input annual mean maps of Arctic temperature from observational reanalysis and sort the prediction output according to increasing values of the ANN's confidence for each GCM class. To attempt to understand how the ANN is classifying each temperature map with a GCM, we leverage a feature attribution method from explainable artificial intelligence. By comparing composites from the attribution method for every GCM classification, we find that the ANN is learning regional temperature patterns in the Arctic that are unique to each GCM relative to the multi‐model mean ensemble. In agreement with recent studies, we show that ANNs can be useful tools for extracting regional climate signals in GCMs and observations.
An Improved Method to Moho Depth Recovery From Gravity Disturbance and Its Application in the South China Sea
Authors: Li Jinbo , Xu Chuang , Chen Haopeng 
Published: July 2022

AbstractTwo hyperparameters, the mean Moho depth and the Moho density contrast, must be specified before the gravity inversion of Moho. Incorrect estimation will impact inversed Moho morphology. The purpose of this study is to present a new gravimetric Moho inversion method. The key improvement of the new method is to accurately estimate the Moho density contrast, based on a linear relationship between the depth of known points and gravity observations. The method is illustrated by a synthetic experiment where the estimated density contrast differs from the true value by only 0.0011 , showing a 93% improvement compared to the initial estimate. The results of processing the noise data show that, our method's accuracy is minimally affected by noise, but is sensitive to the number of known points. Nevertheless, when using only 10 known points, there is still a 50% probability of obtaining a solution with a root mean square (RMS) less than 1 km. When the number of points is greater than 64, the effect of the uniformity of the point distribution is almost negligible. In the real case, we employed the proposed method to invert the South China Sea (SCS) Moho depth. The Moho model reveals that, there is a distinct zoning feature at Moho depth in the SCS, and the 13.5 km isodepth line indicates the continent‐ocean boundary. Furthermore, the RMS of the difference between the gravimetric Moho model and the seismological data is 1.64 km, which is primarily attributed to the lateral variation of the density contrast.
Detection of Organic Carbon in Mars‐Analog Paleosols With Thermal and Evolved Gas Analysis
Authors: Broz Adrian P. , Clark Joanna , Sutter Brad , Ming Doug W. , Horgan Briony , Archer Paul Douglas , Silva Lucas C. R. 
Published: July 2022

AbstractAncient, buried soils, or paleosols, may have been preserved in the geological record on Mars, and are considered high‐priority targets for biosignature investigation. Studies of paleosols on Earth that are similar in composition to putative martian paleosols can provide a reference frame for constraining their organic preservation potential on Mars. However, terrestrial paleosols typically preserve only trace amounts of organic carbon, and determining what carbon is original is complicated by diagenesis and additions of modern carbon. The objectives of this study were (a) to determine whether organic carbon in Mars‐analog paleosols can be detected with thermal and evolved gas analysis, and (b) constrain the age of organic carbon using radiocarbon (14C) dating. Oligocene (33 Ma) paleosols from Oregon were examined with an instrument similar to the Sample Analysis at Mars Evolved Gas Analysis instrument onboard the Mars Science Laboratory Curiosity rover. Trace amounts of organic carbon and fragments of organic molecules were observed in all samples. Total organic carbon (TOC) ranged from 0.002 to 0.032 ± 0.006 wt. %. The near‐surface horizons of paleosols had significantly higher TOC relative to subsurface layers. Radiocarbon dating of four samples revealed an organic carbon age of ∼6,200–14,500 years before present and a fraction modern ranging from 0.16 to 0.46. Modeled abundances of modern carbon in bulk samples ranged from 0.41%–3.1% ± 0.11%, which were consistent with additions of small amounts of modern organic carbon. This work demonstrates that martian paleosols are a potential high priority location for in‐situ biosignature investigation.
Red Noise in Steady‐State Multiphase Flow in Porous Media
Authors: Spurin Catherine , Rücker Maja , Moura Marcel , Bultreys Tom , Garfi Gaetano , Berg Steffen , Blunt Martin J. , Krevor Samuel 
Published: July 2022

AbstractUnderstanding the interaction between competing fluids in the pore space of rocks is key for predicting subsurface flow and trapping, such as with CO2 in a saline aquifer. These processes occur over a large span of timescales (from seconds to thousands of years), and length scales (from microns to kilometers). Understanding the link between these temporal and spatial scales will enable us to interpolate between observations made at different resolutions. In this work we explore the temporal scales present during macroscopically steady‐state multiphase flow in a porous carbonate rock using differential pressure measurements acquired over a period of 60 min. Nitrogen and brine were injected simultaneously into a sample 5 mm in diameter and 21 mm in length. We observe a cascade of timescales in the pressure differential that is, a continuous range of frequencies, with lower frequencies having greater amplitudes. We demonstrate a scaling of the spectral density with frequency of S ∼ 1/f2, or red noise, to describe the dynamics. This scaling is independent of the flow rate of the fluids or the fraction of the flow taken by water. This red, or Brownian, noise indicates a stochastic process where pressure fluctuations are seen throughout the pore space, resulting in intermittent filling of pores over a wide range of time‐scales, from seconds to minutes in these experiments. The presence of red noise suggests self‐organized critically, with no characteristic time or length scale.
Signalling pathways in autism spectrum disorder: mechanisms and therapeutic implications
Authors: Jiang Chen-Chen , Lin Li-Shan , Long Sen , Ke Xiao-Yan , Fukunaga Kohji , Lu Ying-Mei , Han Feng 
Published: July 2022

AbstractAutism spectrum disorder (ASD) is a prevalent and complex neurodevelopmental disorder which has strong genetic basis. Despite the rapidly rising incidence of autism, little is known about its aetiology, risk factors, and disease progression. There are currently neither validated biomarkers for diagnostic screening nor specific medication for autism. Over the last two decades, there have been remarkable advances in genetics, with hundreds of genes identified and validated as being associated with a high risk for autism. The convergence of neuroscience methods is becoming more widely recognized for its significance in elucidating the pathological mechanisms of autism. Efforts have been devoted to exploring the behavioural functions, key pathological mechanisms and potential treatments of autism. Here, as we highlight in this review, emerging evidence shows that signal transduction molecular events are involved in pathological processes such as transcription, translation, synaptic transmission, epigenetics and immunoinflammatory responses. This involvement has important implications for the discovery of precise molecular targets for autism. Moreover, we review recent insights into the mechanisms and clinical implications of signal transduction in autism from molecular, cellular, neural circuit, and neurobehavioural aspects. Finally, the challenges and future perspectives are discussed with regard to novel strategies predicated on the biological features of autism.
Nanoparticles in the diagnosis and treatment of vascular aging and related diseases
Authors: Xu Hui , Li Shuang , Liu You-Shuo 
Published: July 2022

AbstractAging-induced alternations of vasculature structures, phenotypes, and functions are key in the occurrence and development of vascular aging-related diseases. Multiple molecular and cellular events, such as oxidative stress, mitochondrial dysfunction, vascular inflammation, cellular senescence, and epigenetic alterations are highly associated with vascular aging physiopathology. Advances in nanoparticles and nanotechnology, which can realize sensitive diagnostic modalities, efficient medical treatment, and better prognosis as well as less adverse effects on non-target tissues, provide an amazing window in the field of vascular aging and related diseases. Throughout this review, we presented current knowledge on classification of nanoparticles and the relationship between vascular aging and related diseases. Importantly, we comprehensively summarized the potential of nanoparticles-based diagnostic and therapeutic techniques in vascular aging and related diseases, including cardiovascular diseases, cerebrovascular diseases, as well as chronic kidney diseases, and discussed the advantages and limitations of their clinical applications.
Exome sequencing analysis of Japanese autism spectrum disorder case-control sample supports an increased burden of synaptic function-related genes
Authors: Kimura Hiroki , Nakatochi Masahiro , Aleksic Branko , Guevara James , Toyama Miho , Hayashi Yu , Kato Hidekazu , Kushima Itaru , Morikawa Mako , Ishizuka Kanako , Okada Takashi , Tsurusaki Yoshinori , Fujita Atsushi , Miyake Noriko , Ogi Tomoo , Takata Atsushi , Matsumoto Naomichi , Buxbaum Joseph , Ozaki Norio , Sebat Jonathan 
Published: July 2022

AbstractAutism spectrum disorder (ASD) is a highly heritable, complex disorder in which rare variants contribute significantly to disease risk. Although many genes have been associated with ASD, there have been few genetic studies of ASD in the Japanese population. In whole exomes from a Japanese ASD sample of 309 cases and 299 controls, rare variants were associated with ASD within specific neurodevelopmental gene sets, including highly constrained genes, fragile X mental retardation protein target genes, and genes involved in synaptic function, with the strongest enrichment in trans-synaptic signaling (p = 4.4 × 10−4,Q-value = 0.06). In particular, we strengthen the evidence regarding the role ofABCA13, a synaptic function-related gene, in Japanese ASD. The overall results of this case-control exome study showed that rare variants related to synaptic function are associated with ASD susceptibility in the Japanese population.