bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of the platelet activation status of single‐donor platelets obtained with two different cell separator technologies
Authors: Millar Daniel , Hayes Chelsea , Jones Jessica , Klapper Ellen , Kniep Joel N. , Luu Hung S. , Noland Daniel K. , Petitti Laura , Poisson Jessica L. , Spaepen Erik , Ye Zhan , Maurer‐Spurej Elisabeth 
Published: July 2020

AbstractBackgroundThe microparticle content (MP%) of apheresis platelets—a marker of platelet activation—is influenced by donor factors and by external stressors during collection and storage. This study assessed the impact of apheresis technology and other factors on the activation status (MP%) of single‐donor apheresis platelets.Study Design and MethodsData from six US hospitals that screened platelets by measuring MP% through dynamic light scattering (ThromboLUX) were retrospectively analyzed. Relative risks (RRs) were derived from univariate and multivariable regression models, with activation rate (MP% ≥15% for plasma‐stored platelets; ≥10% for platelet additive solution [PAS]‐stored platelets) and MP% as outcomes. Apheresis platform (Trima Accel vs Amicus), storage medium (plasma vs PAS), pathogen reduction, storage time, and testing location were used as predictors.ResultsData were obtained from 7511 platelet units collected using Trima (from 16 suppliers, all stored in plasma, 20.0% were pathogen‐reduced) and 2456 collected using Amicus (from four different collection facilities of one supplier, 65.0% plasma‐stored, 35.0% PAS‐stored, none pathogen‐reduced). Overall, 30.0% of Trima platelets were activated compared to 45.6% of Amicus platelets (P < .0001). Multivariable analysis identified apheresis platform as significantly associated with platelet activation, with a lower activation rate for Trima than Amicus (RR: 0.641, 95% confidence interval [CI]: 0.578; 0.711, P < .0001) and a 6.901% (95% CI: 5.926; 7.876, P < .0001) absolute reduction in MP%, when adjusting for the other variables.ConclusionTrima‐collected platelets were significantly less likely to be activated than Amicus‐collected platelets, irrespective of the storage medium, the use of pathogen reduction, storage time, and testing site.
Phylogenomic analyses reveal a Palaeozoic radiation and support a freshwater origin for clitellate annelids
Authors: Erséus Christer , Williams Bronwyn W. , Horn Kevin M. , Halanych Kenneth M. , Santos Scott R. , James Samuel W. , Creuzé des Châtelliers Michel , Anderson Frank E. 
Published: July 2020

AbstractClitellata is a major clade of Annelida comprising nearly all freshwater and terrestrial annelids as well as several marine species. We investigated clitellate phylogenetic relationships using transcriptomes sampled from 74 taxa (64 clitellates and 10 polychaetes), including multiple representatives of nearly all major clitellate higher taxa (Branchiobdellida, Capilloventridae, Crassiclitellata, Enchytraeidae, Haplotaxidae, Hirudinida, Lumbriculida, Moniligastridae, Naididae, Parvidrilidae, Phreodrilidae, Propappidae and Randiellidae). We used a number of filtered data matrices and phylogenetic analyses to examine the effects of data partitioning, missing data and compositional and branch‐length heterogeneity and used the resulting phylogenies for divergence time estimation and ancestral habitat reconstructions. All analyses and filtering methods produced a consistent, strongly supported topology in which (a) Enchytraeidae, Hirudinida, Hirudinea (here, Branchiobdellida plus Hirudinida), Lumbriculida, Lumbriculata (Lumbriculida plus Hirudinea), Phreodrilidae and Naididae are monophyletic, (b) a Parvidrilidae + Randiellidae clade is sister to the rest of Clitellata, (c) Phreodrilidae is sister to Naididae, (d) Haplotaxidae is non‐monophyletic, with some haplotaxids grouping with Crassiclitellata + Moniligastridae, (e) the Phreodrilidae + Naididae clade is sister to all other clitellates except Parvidrilidae + Randiellidae and Capilloventridae, and (f) Lumbriculata is sister to the Crassiclitellata + Moniligastridae + Haplotaxidae (in part) clade. Ancestral habitat reconstructions and divergence time analysis suggested that the most recent common ancestor of Clitellata lived in freshwater during the Devonian (419–359 million years ago) and that all major extant clitellate lineages arose over the next ~150 million years, with multiple lineages subsequently returning to marine habitats or invading land. This study provides a phylogenetic framework for further investigation of the geological, environmental and biotic forces and genomic changes that may have impacted clitellate evolution and enabled several major habitat transitions within this group.
RISK AND SACRAMENT: BEING HUMAN IN A COVID‐19 WORLD
Authors: Norman Ziba , Reiss Michael J. 
Published: July 2020

AbstractIn this article we examine the changing relationship to risk as revealed by the covid‐19 pandemic and the ways this has, and may in future, alter sacramental practice, considering the radical effects this could have on traditional Christian practice. We consider the cultural trends that may lie behind this developing approach to risk, examining this in the context of an emergent transhuman identity that is technologically moderated and seeks to overcome risks of human mortality.
<p><strong><span>Transcriptome analys</span></strong><strong><span>i</span></strong><strong><span>s of </span></strong><strong><em><span>Tetranychus cinnabarinus</span></em></strong><strong><span> responses to an insecticide exposure</span></strong></p>
Authors: Chen Jia , Ye Xianyan , Wang Jing , Xia Bin , Xin Tianrong 
Published: July 2020

Diflubenzuron, a benzoylphenylurea insecticide that interferes with chitin biosynthesis, causes arthropods to moult abnormally and die. However, its mechanism of action in Tetranychus cinnabarinus is still unclear. In order to explore the effects of different sublethal concentrations of diflubenzuron on T. cinnabarinus, we conducted a high-throughput RNA-seq technology to identify the variations in transcriptomic profile of T. cinnabarinus larvae. The results revealed that 470 and 49 differentially expressed genes were identified in LC50-and LC70-treated groups, comparing with the control. We also identified and analyzed the detoxification enzymes involved in the transcritome of T. cinnabarinus, including 34 cytochrome P450 genes, 17 glutathione-s-transferase genes (GSTs), 12 acetylcholinesterase genes (AChEs) and 9 ABC transporter genes. In addition, differentially expressed genes analysis showed that the gene expression levels of detoxification enzymes were generally enhanced. At the same time, seven and eleven genes were involved in chitin synthesis and degradation ways, respectively. The expression level of most genes involved in chitin synthesis and degradation pathway were generally up-regulated after exposure to sublethal concentrations of diflubenzuron. Moreover, for transcriptome validation, the mRNA expression results of ten specially expressed genes by quantitative real-time PCR demonstrated that these gene expression trends were consistent with that of the transcriptome data. Together, all these results suggested that sublethal concentrations of diflubenzuron exposure affected gene expression of major detoxification enzymes and chitin metabolism genes in T. cinnabarinus larvae. These findings may be helpful to further understand the possible molecular mechanism of benzoylphenylurea insecticides in T. cinnabarinus, as well as in other spider mites.
Automated Classification of Postural Control for Individuals With Parkinson’s Disease Using a Machine Learning Approach: A Preliminary Study
Authors: Li Yumeng , Zhang Shuqi , Odeh Christina 
Published: July 2020

The purposes of the study were (1) to compare postural sway between participants with Parkinson’s disease (PD) and healthy controls and (2) to develop and validate an automated classification of PD postural control patterns using a machine learning approach. A total of 9 participants in the early stage of PD and 12 healthy controls were recruited. Participants were instructed to stand on a force plate and maintain stillness for 2 minutes with eyes open and eyes closed. The center of pressure data were collected at 50 Hz. Linear displacements, standard deviations, total distances, sway areas, and multiscale entropy of center of pressure were calculated and compared using mixed-model analysis of variance. Five supervised machine learning algorithms (ie, logistic regression, K-nearest neighbors, Naïve Bayes, decision trees, and random forest) were used to classify PD postural control patterns. Participants with PD exhibited greater center of pressure sway and variability compared with controls. The K-nearest neighbor method exhibited the best prediction performance with an accuracy rate of up to 0.86. In conclusion, participants with PD exhibited impaired postural stability and their postural sway features could be identified by machine learning algorithms.
Comparing Learners’ Attitude, Knowledge, and Behaviors for Active Living in Physical Education Between Two Middle Schools
Authors: Liu Yang , Chen Senlin , Gu Xiangli 
Published: July 2020

Purpose: The study purpose was to examine performance differences in physical education among learners from two middle schools from two different states. Methods: Performance in physical education was represented by attitude toward physical education, knowledge of physical activity and fitness, and active living behaviors (i.e., physical activity and sedentary behavior). The sixth, seventh, and eighth graders of a midwestern state school (n = 397) and a deep southern state school (n = 350) completed the surveys (N = 747). Results: The authors observed statistically significant school differences in physical activity and fitness knowledge and physical activity behavior (favoring the deep southern state school), and in attitude and sedentary behavior (favoring the midwestern state school). The authors also found stronger associations between attitude and physical activity (but weaker associations between attitude and sedentary behavior) among the deep southern state school students than the midwestern state school students. Conclusion: These observed performance differences and their pedagogical ramifications are discussed in relation to sociodemographic and environmental factors.
Ancient orogenic and monsoon-driven assembly of the world’s richest temperate alpine flora
Authors: Ding Wen-Na , Ree Richard H. , Spicer Robert A. , Xing Yao-Wu 
Published: July 2020

Origins of an alpine floraThe evolution of high mountain floras is strongly influenced by tectonic and climatic history. Dinget al.document the timing, tempo, and mode by which the world's most species-rich alpine flora, that of the Tibet-Himalaya-Hengduan region, was assembled. Alpine assemblages in the region are older than previously thought, with lineages tracing their alpine ancestry to the early Oligocene—older than any other modern alpine system. Alpine species diversified faster during periods of orogeny and intensification of the Asian monsoon, and the Hengduan Mountains—the most species-rich area in this region—played a key biogeographic role as the location of the earliest pulse of alpine diversification in the Oligocene.Science, this issue p.578
Climate and provenance variation across the mid-Pleistocene transition revealed through sedimentology, geochemistry, and rock magnetism of the Blackwater Draw Formation, Southern High Plains, Texas, USA
Authors: Stine* J. , Sweet D.E. , Geissman J.W. , Baird H. , Ferguson J.F. 
Published: July 2020

ABSTRACTThe mid-Pleistocene transition is a time interval between ca. 1.2 and 0.7 Ma during which a shift occurred from ~41 k.y. glacial-interglacial cycles to ~100 k.y. cycles. Although the mid-Pleistocene transition has been well documented in global marine records, its effects in continental environments, including North America, are incompletely understood owing to the paucity of terrestrial sediment records spanning the entire Quaternary. A notable exception is the ca. 1.4 Ma and younger Blackwater Draw Formation, an extensive eolian sequence on the Southern High Plains of the United States. Intervals of the Blackwater Draw Formation section that are inferred to span the mid-Pleistocene transition can be divided into pre–, syn–, and post–mid-Pleistocene transition parts. Weathering profiles in the pre–mid-Pleistocene transition section are dominated by weakly developed soils formed in arid environments, as evidenced by well-expressed pedogenic carbonate horizons, lack of clay formation during hydrolysis, and magnetically soft, coarse-grained magnetite/maghemite populations. Conversely, the syn– and post–mid-Pleistocene transition intervals demonstrate an increase in weathering intensity by an abrupt increase in clay content formed in part by hydrolysis of feldspars, soil profiles that demonstrate leaching and illuviation, and a fining-upward grain size of the magnetite/maghemite population. Sedimentologic, geochemical, and rock-magnetic data are consistent with a southern and coarser sediment source derived from the Pecos River drainage prior to the mid-Pleistocene transition, followed by a mixture of northern and southern sources during and after the mid-Pleistocene transition. Overall, our results indicate that pre–mid-Pleistocene transition conditions on the Southern High Plains were arid with wind energy sufficient to mobilize sand sheets out of the Pecos River and deposit them on the plateau. The syn– and post–mid-Pleistocene transition environments reflect somewhat wetter conditions and potentially an influx of silt from the north, in addition to continued sand derived from the Pecos River valley. The wetter conditions and silt influx may have resulted from longer-lived and more robust glacial activity in the Northern Hemisphere that characterized the post–mid-Pleistocene transition Earth system.
Miocene high-temperature leucogranite magmatism in the Himalayan orogen
Authors: Gao Peng , Zheng Yong-Fei , Mayne Matthew Jason , Zhao Zi-Fu 
Published: July 2020

AbstractHimalayan leucogranites of Cenozoic age are generally attributed to partial melting of metasedimentary rocks at low temperatures of &lt;770 °C. It is unknown what the spatial distribution and characteristics of high-temperature (&gt;800 °C) leucogranites are in the Himalayan orogen. The present study reports the occurrence of such leucogranites in the collisional orogen. We use the Ti-in-zircon thermometry in combination with the thermodynamically calibrated relationships of T-aSiO2-aTiO2 to retrieve crystallization temperatures of Miocene (ca. 17 Ma) two-mica granites from Yalaxiangbo, in the eastern Himalaya, SE Tibet. The results give the maximum temperature as high as ∼850 °C for granite crystallization, providing a significant constraint on the nature of thermal sources. Phase equilibrium modeling using metasedimentary rocks as the source rocks indicates that felsic melts produced at ∼850 °C and 6–10 kbar can best match the target leucogranites in lithochemistry. In this regard, the anatectic temperatures previously obtained for the production of Himalayan leucogranites would probably be underestimated to some extent. Such high temperatures are difficult to explain purely by the internal heating of the thickened orogenic crust. Instead, they require an extra heat source, which would probably be provided by upwelling of asthenospheric mantle subsequent to thinning of the orogenic lithospheric mantle by foundering along the convergent plate boundary. Therefore, the Himalayan leucogranites of Miocene age would be derived from partial melting of the metasedimentary rocks in the post-collisional stage.
Parental experiences of being approached to join multiple neonatal clinical trials: qualitative study (PARENT)
Authors: Richards Judy , Rankin Judith , Juszczak Ed , Dorling Jon , McGuire William , Embleton Nicholas D 
Published: July 2020

ObjectiveTo explore parents’ perceptions and experience of being approached for enrolment of their preterm infant in more than one trial or study.DesignA qualitative study involving 17 in-depth semistructured interviews, with parents who had been approached for multiple studies and who subsequently consented for their infant(s) to join at least one. Parents who declined all studies were not approached.Setting and participantsParents of preterm infants receiving care at one of three neonatal intensive care units in the north of England.FindingsMost parents did not view concurrent participation in multiple trials or studies as a significant issue within the wider context of their infant’s care. Most parents did not feel pressured into enrolling their infant into more than one study, but some suggested that participation in several provided justification for the subsequent refusal to join others, articulating feeling of guilt at saying ‘no’, and others appeared fatigued by multiple approaches. Parents focused on the perceived risks and benefits of each individual study and, while acknowledging that making a fully informed decision was not possible, largely agreed due to their belief in the benefits of research, trust in the health professionals caring for their baby and a range of complex personal motivations.ConclusionsParents valued the autonomy to make decisions about participation and felt, with hindsight, that their decisions were right. Research teams could be more aware of parental feelings of guilt or gratitude that may motivate them to give consent. Similarly, the capacity of parents to fully remember details of multiple studies when they are stressed, and their infant is sick, should be taken into consideration, and continued efforts should be made to ensure ongoing consent to participation.
The remaining unknowns: a mixed methods study of the current and global health research priorities for COVID-19
Authors: Norton Alice , De La Horra Gozalo Arancha , Feune de Colombi Nicole , Alobo Moses , Mutheu Asego Juliette , Al-Rawni Zainab , Antonio Emilia , Parker James , Mwangi Wayne , Adhiambo Wesonga Colette , Marsh Kevin , Tufet Marta , Piot Peter , Lang Trudie 
Published: July 2020

IntroductionIn March 2020, the WHO released a Global Research Roadmap in an effort to coordinate and accelerate the global research response to combat COVID-19 based on deliberations of 400 experts across the world. Three months on, the disease and our understanding have both evolved significantly. As we now tackle a pandemic in very different contexts and with increased knowledge, we sought to build on the work of the WHO to gain a more current and global perspective on these initial priorities.MethodsWe undertook a mixed methods study seeking the views of the global research community to (1) assess which of the early WHO roadmap priorities are still most pressing; (2) understand whether they are still valid in different settings, regions or countries; and (3) identify any new emerging priorities.ResultsThematic analysis of the significant body of combined data shows the WHO roadmap is globally relevant; however, new important priorities have emerged, in particular, pertinent to low and lower middle-income countries (less resourced countries), where health systems are under significant competing pressures. We also found a shift from prioritising vaccine and therapeutic development towards a focus on assessing the effectiveness, risks, benefits and trust in the variety of public health interventions and measures. Our findings also provide insight into temporal nature of these research priorities, highlighting the urgency of research that can only be undertaken within the period of virus transmission, as well as other important research questions but which can be answered outside the transmission period. Both types of studies are key to help combat this pandemic but also importantly to ensure we are better prepared for the future.ConclusionWe hope these findings will help guide decision-making across the broad research system including the multilateral partners, research funders, public health practitioners, clinicians and civil society.
Excess cases of influenza and the coronavirus epidemic in Catalonia: a time-series analysis of primary-care electronic medical records covering over 6 million people
Authors: Coma Redon Ermengol , Mora Nuria , Prats-Uribe Albert , Fina Avilés Francesc , Prieto-Alhambra Daniel , Medina Manuel 
Published: July 2020

ObjectivesThere is uncertainty about when the first cases of COVID-19 appeared in Spain. We aimed to determine whether influenza diagnoses masked early COVID-19 cases and estimate numbers of undetected COVID-19 cases.DesignTime-series study of influenza and COVID-19 cases, 2010–2020.SettingPrimary care, Catalonia, Spain.ParticipantsPeople registered in primary-care practices, covering >6 million people and >85% of the population.Main outcome measuresWeekly new cases of influenza and COVID-19 clinically diagnosed in primary care.AnalysesDaily counts of both cases were computed using the total cases recorded over the previous 7 days to avoid weekly effects. Epidemic curves were characterised for the 2010–2011 to 2019–2020 influenza seasons. Influenza seasons with a similar epidemic curve and peak case number as the 2019–2020 season were used to model expected case numbers with Auto Regressive Integrated Moving Average models, overall and stratified by age. Daily excess influenza cases were defined as the number of observed minus expected cases.ResultsFour influenza season curves (2011–2012, 2012–2013, 2013–2014 and 2016–2017) were used to estimate the number of expected cases of influenza in 2019–2020. Between 4 February 2020 and 20 March 2020, 8017 (95% CI: 1841 to 14 718) excess influenza cases were identified. This excess was highest in the 15–64 age group.ConclusionsCOVID-19 cases may have been present in the Catalan population when the first imported case was reported on 25 February 2020. COVID-19 carriers may have been misclassified as influenza diagnoses in primary care, boosting community transmission before public health measures were taken. The use of clinical codes could misrepresent the true occurrence of the disease. Serological or PCR testing should be used to confirm these findings. In future, this surveillance of excess influenza could help detect new outbreaks of COVID-19 or other influenza-like pathogens, to initiate early public health responses.