bluuebunny/crossref_metadata_2025_split huggingface dataset:
(Dis)Engagement with queer counterpublics: Exploring intimate and family lives in online and offline spaces in China
Authors: Lo Iris Po Yee 
Published: December 2021

AbstractThere have been ongoing discussions about the ways in which the Internet has created new spaces for sexual minority individuals to meet, communicate, and build their communities in recent decades. Nevertheless, previous studies have paid disproportionate attention to identity politics, civil society, and rights‐based movements. They have largely overlooked other possible forms of, and orientations toward, engagement with cyberspace, particularly those that have emerged and been restricted in non‐Western contexts. This article examines Chinese lesbians' experiences of using cyberspace and the extent to which these experiences help them develop their intimate and family lives. Drawing on interview data and developing a framework that combines queer counterpublics scholarship with insights drawn from the notion of relational selfhood, this study reveals a wide range of personal, familial, and socio‐political motivations for (not) engaging in cyberspace and the mixed feelings of connection and distance experienced by participants. By identifying three forms of (dis)engagement with cyberspace: those demonstrated by ‘pioneers’, ‘skeptics’, and ‘conflicted pragmatists’, this study expands the notion of queer counterpublics beyond its focus on civic and political participation and illustrates the contested and contingent nature of Chinese queer counterpublics. It shows that Chinese lesbians' interactions in cyberspace enable them to explore non‐traditional paths to family formation and motherhood. Meanwhile, these interactions expose them to tensions between the new possibilities revealed by online spaces and established socio‐political and familial norms. I argue that prevailing heterosexual norms, coupled with material concerns and the regulatory power of the family and the state, continue to restrict the transformative potential of cyberspace and push some lesbians to withdraw from cyberspace into themselves and refrain from taking part in collective action. The article concludes with some reflections on queer counterpublics and the complex interplay between online and offline lives in the digital age.
Survey and population dynamics of cereal aphids and their common natural enemies inhabiting wheat crop in Hail region, Saudi Arabia
Authors: Asiry Khalid A. 
Published: December 2021

AbstractCereal aphids are known as serious pests that cause considerable yield losses of wheat production. In this study, cereal aphids and their common natural enemies inhabiting the commercial wheat crop were investigated between February and April 2013 as a preliminary study in the Hail region, northern Saudi Arabia. Results showed that wheat crops were infested by four aphid species including the Russian wheat aphid Diuraphis noxia Kurdjumov, the English grain aphid Sitobion avenae Fabricius, the bird cherry‐oat aphid Rhopalosiphum padi L. and the greenbug aphid Schizaphis graminum Rondani (Homoptera: Aphididae). The Russian wheat aphid D. noxia, however, was the most abundant species compared to other aphid species, totaling 343 individuals which represented 39.80% of all cereal aphids. The results showed a diverse community of specialist natural enemies that were associated aphids including parasitoid wasps as a complex and one Braconid species Aphidius matricariae Haliday (Hymenoptera: Braconidae), three coccinellid species (Adonia variegate Goeze, Coccinella quinquepunctata L. and Coccinella septimpunctata L.) (Coleoptera: Coccinellidae), one species of lacewing Chrysopa sp. (adults & larvae) (Neuroptera: Chrysopidae) and one species of hoverfly Eristalinus aeneus Scop. (adults and larvae) (Diptera: Syrphidae). This study, also, recorded a high abundance of polyphagous predators that included two species of ground beetles involving the black beetle Calosoma olivieri Dejean and Calosoma imbricatum Klug (Coleoptera: Carabidae), and spiders (Araneae) as generalist natural enemies of cereal aphids. In this article, population dynamics of captured cereal aphids and their common natural enemies, and their correlations will be described and discussed.
Higher versus lower oxygenation targets in COVID‐19 patients with severe hypoxaemia (HOT‐COVID) trial: Protocol for a secondary Bayesian analysis
Authors: Mølgaard Nielsen Frederik , Lass Klitgaard Thomas , Granholm Anders , Lange Theis , Perner Anders , Lilleholt Schjørring Olav , Steen Rasmussen Bodil 
Published: December 2021

AbstractBackgroundRespiratory failure is the main cause of mortality and morbidity among ICU patients with coronavirus disease 2019 (COVID‐19). In these patients, supplemental oxygen therapy is essential, but there is limited evidence the optimal target. To address this, the ongoing handling oxygenation targets in COVID‐19 (HOT‐COVID) trial was initiated to investigate the effect of a lower oxygenation target (partial pressure of arterial oxygen (PaO2) of 8 kPa) versus a higher oxygenation target (PaO2 of 12 kPa) in the ICU on clinical outcome in patients with COVID‐19 and hypoxaemia.MethodsThe HOT‐COVID is planned to enrol 780 patients. This paper presents the protocol and statistical analysis plan for the conduct of a secondary Bayesian analysis of the primary outcome of HOT‐COVID being days alive without life‐support at 90 days and the secondary outcome 90‐day all‐cause mortality. Furthermore, both outcomes will be investigated for the presence heterogeneity of treatment effects based on four baseline parameters being sequential organ failure assessment score, PaO2/fraction of inspired oxygen ratio, highest dose of norepinephrine during the 24 h before randomisation, and plasma concentration of lactate at randomisation.ConclusionThe results of this pre‐planned secondary Bayesian analysis will complement the primary frequentist analysis of the HOT‐COVID trial and may facilitate a more nuanced interpretation of the trial results.
Activity patterns and temporal niche partitioning in sympatric red‐legged and red‐necked pademelons
Authors: Smith Lucy E. V. , Andrew Nigel R. , Vernes Karl 
Published: December 2021

AbstractTemporal partitioning between ecologically similar species facilitates co‐occurrence and can influence the structure of mammalian assemblages. We studied diel activity patterns of two sympatric forest‐dwelling wallabies, the red‐legged pademelon (Thylogale stigmatica) and red‐necked pademelon (Thylogale thetis) in eastern Australia to better understand spatiotemporal partitioning between these closely related macropods. Temporally, both species displayed strongly crepuscular activity patterns typical of many macropod species; however, compared with T. thetis, T. stigmatica was less active during evening twilight and more active in the period prior to dawn. Spatially, T. stigmatica used dense forest cover exclusively throughout the 24‐hour cycle, while T. thetis divided its habitat spatiotemporally, spending the diurnal period under forest cover and the nocturnal period on pasture beyond the forest edge. In practical terms, this meant that T. stigmatica and T. thetis were fully spatially segregated at night, during the period they would be likely to do most of their foraging. We propose that the spatiotemporal partitioning observed is niche partitioning, and provides a mechanism for the co‐occurrence of these closely related species.
Cryopreservation of ram semen: Manual versus programmable freezing and different lengths of equilibration
Authors: Vozaf Jakub , Makarevich Alexander V. , Balazi Andrej , Vasicek Jaromir , Svoradova Andrea , Olexikova Lucia , Chrenek Peter 
Published: December 2021

AbstractThe aim of our study was to examine effects of the length of semen equilibration as well as two freezing techniques on ram sperm post‐thaw quality. The ejaculates of Wallachian sheep rams (n = 12) were collected by an electro‐ejaculation, equilibrated in a Triladyl® (0, 2, 4, 6, and 8 h) containing glycerol and egg yolk and frozen by programmable freezing (PF) or manual freezing (MF). After thawing, sperm samples were subjected to the motility (computer‐assisted sperm analysis [CASA]), viability (SYBR‐14/PI), and fertilizing ability (FA) (in vitro penetration/fertilization test on bovine oocytes) assays. It was found that the equilibration of 6 h (E‐6) ensured higher post‐thaw sperm motility and progressive movement compared with other lengths tested, irrespective of a freezing technique. The E‐6 sperm viability did not differ between PF and MF but was lower (P < 0.05) than control. Sperm FA (E‐6) was similar in PF (60.44%) and MF (62%) but slightly lower than in fresh (72.8%). Our data demonstrate that the use of MF was comparable with PF, which can be applied in the field conditions without need in a piece of cost‐expensive equipment, which can greatly benefit the gene bank of animal genetic resources.
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models
Authors: Mandel Francesca , Ghosh Riddhi Pratim , Barnett Ian 
Published: December 2021

AbstractAlthough most statistical methods for the analysis of longitudinal data have focused on retrospective models of association, new advances in mobile health data have presented opportunities for predicting future health status by leveraging an individual's behavioral history alongside data from similar patients. Methods that incorporate both individual-level and sample-level effects are critical to using these data to its full predictive capacity. Neural networks are powerful tools for prediction, but many assume input observations are independent even when they are clustered or correlated in some way, such as in longitudinal data. Generalized linear mixed models (GLMM) provide a flexible framework for modeling longitudinal data but have poor predictive power particularly when the data are highly nonlinear. We propose a generalized neural network mixed model that replaces the linear fixed effect in a GLMM with the output of a feed-forward neural network. The model simultaneously accounts for the correlation structure and complex nonlinear relationship between input variables and outcomes, and it utilizes the predictive power of neural networks. We apply this approach to predict depression and anxiety levels of schizophrenic patients using longitudinal data collected from passive smartphone sensor data.
Development and validation of prediction models for neurocognitive disorders in adult patients admitted to the ICU with sleep disturbance
Authors: Li Yun , Zhao Lina , Wang Ye , Zhang Xizhe , Song Jiannan , Zhou Qi , Sun Yi , Yang Chenyi , Wang Haiyun 
Published: December 2021

AbstractBackgroundNeurocognitive disorders (NCDs) and sleep disturbance are highly prevalent in the perioperative period and intensive care unit (ICU). There has been a lack of individualized evaluation tools designed for the high‐risk NCDs in critically ill patients with sleep disturbance.ObjectivesThe aim of this study was to develop and validate prediction models for NCDs among adult patients with sleep disturbance.MethodsThe R software was used to analyze the dataset of adult patients admitted to the ICU with sleep disturbance, who were diagnosed following the codes of the International Classification of Diseases, 9th Revision (ICD‐9) and 10th Revision (ICD‐10) using the MIMIC‐IV database. We used logistic regression and LASSO analyses to identify important risk factors associated with NCDs and develop nomograms for NCDs predictions. We measured the performances of the nomograms using the bootstrap resampling procedure, sensitivity, specificity of the receiver operating characteristic (ROC), area under the ROC curves (AUC), and decision curve analysis (DCA).ResultsThe prediction models shared the 10 risk factors (age, gender, midazolam, morphine, glucose, diabetes diseases, potassium, international normalized ratio, partial thromboplastin time, and respiratory rate). Cardiovascular diseases were included in the logistic regression, the sensitivity was 74.1%, and specificity was 64.6%. When platelet and Glasgow Coma Score (GCS) were included and cardiovascular diseases were removed in the LASSO prediction model, the sensitivity was 86.1% and specificity was 82.8%. Discriminative abilities of the logistic prediction and LASSO prediction models for NCDs in the validation set were evaluated as the AUC scores, which were 0.730 (95% CI 0.716–0.743) and 0.920 (95% CI 0.912–0.927). Net benefits of the prediction models were observed at threshold probabilities of 0.567 and 0.914.ConclusionsThe LASSO prediction model showed better performance than the logistic prediction model and should be preferred for nomogram‐assisted decisions on clinical risk management of NCDs among adult patients with sleep disturbance in the ICU.
CELSR3 variants are associated with febrile seizures and epilepsy with antecedent febrile seizures
Authors: Li Jia , Lin Si‐Mei , Qiao Jing‐Da , Liu Xiao‐Rong , Wang Jie , Jiang Mi , Zhang Jing , Zhong Min , Chen Xu‐Qin , Zhu Jing , He Na , Su Tao , Shi Yi‐Wu , Yi Yong‐Hong , Liao Wei‐Ping ,   for the China Epilepsy Gene 1.0 Project
Published: December 2021

AbstractAimsTo identify novel pathogenic gene of febrile seizures (FS)/epilepsy with antecedent FS (EFS+).MethodsThe trio‐based whole‐exome sequencing was performed in a cohort of 462 cases with FS/EFS+. Silico programs, sequence alignment, and protein modeling were used to predict the damaging of variants. Statistical testing was performed to analyze gene‐based burden of variants.ResultsFive heterozygous missense variants in CELSR3 were detected in five cases (families) with eight individuals (five females, three males) affected. Two variants were de novo, and three were identified in families with more than one individual affected. All the variants were predicted to be damaging in silico tools. Protein modeling showed that the variants resulted in disappearance of multiple hydrogen bonds and one disulfide bond, which potentially caused functional impairments of protein. The frequency of CELSR3 variants identified in this study was significantly higher than that in controls. All affected individuals were diagnosed with FS/EFS+, including six patients with FS and two patients with EFS+. All cases presented favorable outcomes without neurodevelopmental disorders.ConclusionsCELSR3 variants are potentially associated with FS/EFS+.
Birth weight and prediabetes in a nationally representative sample of US adolescents
Authors: Sanjeevi Namrata , Freeland‐Graves Jeanne H. 
Published: December 2021

SummaryPrediabetes affects about 20% of adolescents in the United States. Previous studies have shown that low and high birth weight impairs glucose homeostasis in adults; however, limited research has examined this relationship in adolescents. To investigate association of birthweight with prediabetes in US adolescents using data from NHANES 2005–2016 and examine whether sex and obesity moderate this relationship. Adolescents, aged 12–15 years without diagnosed/undiagnosed diabetes and extreme birthweight (n = 1396), were classified as low birth weight (LBW), normal birthweight (NBW) and high birth weight (HBW). Logistic regression examined relationship of birthweight with odds of prediabetes. Likelihood ratio test tested interactions of birthweight with sex and obesity measures. In this nationally representative cross‐sectional study, LBW adolescents had significantly higher odds of prediabetes compared to NBW counterparts (Odds ratio [95% confidence interval] = 1.93 (1.10, 3.38); p < .05). Sex and obesity moderated the association, such that the strength of the relationship of LBW with increased prediabetes odds was greater among male adolescents (Odds ratio [95% confidence interval] = 2.40 (1.02, 5.67); p < .05) and those with overweight/obesity (Odds ratio [95% confidence interval] = 2.13 (1.01, 4.49); p < .05). Findings imply that the adverse effects of LBW on glucose homeostasis could be manifested early in life. Further, the higher odds of prediabetes among LBW adolescents who are male or have overweight/obesity underscore the heightened need for prediabetes screening of these subgroups.
Understanding of mouse and human bladder at single‐cell resolution: integrated analysis of trajectory and cell‐cell interactive networks based on multiple scRNA‐seq datasets
Authors: Shi Bowen , Wu Yanyuan , Chen Haojie , Ding Jie , Qi Jun 
Published: December 2021

AbstractObjectivesTo elaborately decipher the mouse and human bladders at single‐cell levels.Materials and MethodsWe collected more than 50,000 cells from multiple datasets and created, up to date, the largest integrated bladder datasets. Pseudotime trajectory of urothelium and interstitial cells, as well as dynamic cell‐cell interactions, was investigated. Biological activity scores and different roles of signaling pathways between certain cell clusters were also identified.ResultsThe glucose score was significantly high in most urothelial cells, while the score of H3 acetylation was roughly equally distributed across all cell types. Several genes via a pseudotime pattern in mouse (Car3, Dkk2, Tnc, etc.) and human (FBLN1, S100A10, etc.) were discovered. S100A6, TMSB4X, and typical uroplakin genes seemed as shared pseudotime genes for urothelial cells in both human and mouse datasets. In combinational mouse (n = 16,688) and human (n = 22,080) bladders, we verified 1,330 and 1,449 interactive ligand‐receptor pairs, respectively. The distinct incoming and outgoing signaling was significantly associated with specific cell types. Collagen was the strongest signal from fibroblasts to urothelial basal cells in mouse, while laminin pathway for urothelial basal cells to smooth muscle cells (SMCs) in human. Fibronectin 1 pathway was intensely sent by myofibroblasts, received by urothelial cells, and almost exclusively mediated by SMCs in mouse bladder. Interestingly, the cell cluster of SMCs 2 was the dominant sender and mediator for Notch signaling in the human bladder, while SMCs 1 was not. The expression of integrin superfamily (the most common communicative pairs) was depicted, and their co‐expression patterns were located in certain cell types (eg, Itgb1 and Itgb4 in mouse and human basal cells).ConclusionsThis study provides a complete interpretation of the normal bladder at single‐cell levels, offering an in‐depth resource and foundation for future research.
Insights into early postoperative acute kidney injury following lung transplantation
Authors: Botros Mena , Jackson Kenneth , Singh Priyamvada , Rosenheck Justin P. , Ganapathi Asvin M. , Henn Matthew C. , Howsare Molly M. , Mokadam Nahush A. , Pesavento Todd , Whitson Bryan A. , Nunley David R. , Keller Brian C. 
Published: December 2021

AbstractBackgroundAcute kidney injury (AKI) is a common complication after lung transplantation (LT) and is associated with higher cost and mortality. We sought to evaluate the incidence of postoperative AKI, defined as AKI within 14 days of transplant, and identify associated perioperative factors.MethodsWe conducted a single‐center, retrospective review of 153 lung transplant recipients. Postoperative AKI was determined using the RIFLE (Risk, Injury, Failure, Loss, End Stage) criteria. Perioperative covariates and their association with postoperative AKI were analyzed using Cox proportional hazards. Kaplan‐Meier survival curves were constructed to evaluate patient survival at 1 year and data finalization. A sub‐analysis was performed evaluating factors associated with early AKI (within 48 h of transplant) and late AKI.ResultsPostoperative AKI occurred in 36.6% of patients with 51.8% of cases occurring within 48 h of LT. Recipient race, transplant type, cardiopulmonary support, and red blood cell administration were associated with postoperative AKI. Survival was significantly lower in patients with postoperative AKI following LT.ConclusionsPostoperative AKI within 2 weeks of lung transplant is associated with lower short‐ and long‐term survival. Perioperative factors associated with postoperative AKI may be potential points of intervention to minimize AKI development in the future.
Eliminating supportive crowds reduces referee bias
Authors: Reade J. James , Schreyer Dominik , Singleton Carl 
Published: December 2021

AbstractWe use a series of historical natural experiments in association football to test whether social pressure from a home stadium crowd affected behavior and outcomes. The standout effect of an empty stadium was that referees cautioned visiting players less often, by over a third of a yellow card per match or once for every 22 fouls committed. Stadium crowds caused referees to favor the home team in their decision‐making. Empty stadiums appear to have reduced the overall home advantage in the final outcomes of football matches, but we cannot statistically reject no effect.
Perception of health‐related quality of life, sleep quality and sleepiness index in an educational environment at a dental school in Southeast Brazil
Authors: Caldeira François Isnaldo Dias , Cardoso Bruna , Carvalho Leonardo de Souza , Batista Ferreira Eric , Pigossi Suzane Cristina , Rodriguez Larissa Santana 
Published: December 2021

AbstractIntroductionUniversity entrance is often associated with changes in quality of life, individuals' cognitive and physical behavior. The present study aimed to evaluate health‐related quality of life (HRQoL), sleep quality and sleepiness index in dentistry students at a university in Southeast Brazil, in different semesters of their course.Materials and methodsSamples were obtained from 55 students from the dentistry course at the Federal University of Alfenas (UNIFAL‐MG). For collecting information, validated SF‐36 questionnaires (Medical Outcomes Study 36‐item Short‐Form Health Survey), namely, Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS), were used as instruments in an educational environment. The relationship between the association of demographic factors and academic performance with SF‐36, PSQI and ESS was assessed with an alpha of 0.05.ResultsThe worst HRQoL parameters reported by the participants were observed in the domains of body pain, vitality, general health perception, and limitations due to emotional and social aspects when associated with the investigated variables. Regarding the relative sleep quality index, differences in the PSQI domains were observed when related to demographic factors and academic performance. There was no significant difference in the sleepiness index of these students according to the mean values of the ESS domains.ConclusionThe SF‐36, PSQI and ESS questionnaires indicated that it is a reliable instrument for measuring the impact of quality of life on dentistry students. In addition, dentistry students of UNIFAL‐MG had poor indicators of quality of life associated with health and an inadequate index of quality of sleep.
Digital Module 27: Hierarchical Rater Models
Authors: Casabianca Jodi M. 
Published: December 2021

AbstractModule Overview: In this digital ITEMS module, Dr. Jodi M. Casabianca provides a primer on the hierarchical rater model (HRM) framework and the recent expansions to the model for analyzing raters and ratings of constructed responses. In the first part of the module, she establishes an understanding of the nature of constructed responses, the rating process and the common rater errors or rater effects originating from the rating process. She then compares traditional measures for analyzing raters and ratings to item response theory (IRT) measures, including the HRM. In the second part of the module, she provides details on the HRM, including its modularity with respect to using different combinations of IRT models, signal detection models, and latent trait structures. In the third section, she discusses some extensions including approaches for longitudinal and multidimensional data. The module contains audio‐narrated slides, quizzes with feedback, and additional resources such as a glossary and reference documents.