bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revisitando a Escola Inglesa – da velha via média das Relações Internacionais à nova escola inglesa
Authors: Patrício Raquel de Caria 
Published: January 2021

Este artigo procura posicionar a Escola Inglesa na via intermédia entre o Realismo e o Idealismo, focando-se no pensamento de Hedley Bull e Martin Wight, e analisar a evolução da Escola Inglesa após o derrube do muro de Berlim, quando novas problemáticas foram agregadas ao estudo da sociedade internacional e das instituições internacionais. Pretende-se ainda demonstrar como a Escola Inglesa, fundada nas normas e nos padrões regulares de comportamento, é uma grande influência para a abordagem construtivista. Frente a estas realidades, surge a grande pergunta de partida: por que razão, apesar dos estudos de Hedley Bull e de Martin Wight sobre a sociedade internacional e as instituições internacionais, a Escola Inglesa se manteve, à época, marginalizada frente à Escola Norte-Americana de Relações Internacionais?, a qual origina objetivos, alguns dos quais já mencionados, e hipóteses de trabalho, que serão alcançados e comprovadas.
Risk Factors for Severe Residual Headache in Cerebral Venous Thrombosis
Authors: Ji Kangxiang , Zhou Chen , Wu Longfei , Li Weili , Jia Milan , Chu Min , Wu Di , Hou Chengbei , Duan Jiangang , Meng Ran , Ji Xunming 
Published: January 2021

Background and purpose:
Which factors will influence the presence of severe residual headache after cerebral venous thrombosis (CVT) is unclear. The purpose of this study was to identify risk factors for severe residual headache in a large single-center cohort of patients with CVT.

Methods:
We consecutively included eligible patients with CVT from a prospective stroke registry. Severe residual headache was defined as a residual headache attack requiring bed rest or hospital admission within 1 month before the last follow-up visit. We identified the risk factors of severe residual headache in all survivors and in those with favorable functional outcome (a modified Rankin Scale score, 0–2).

Results:

A total of 325 patients’ data were analyzed. At the last follow-up (median 13 months), 43 patients (13.2%) reported severe headache. In the multivariable analysis, isolated intracranial hypertension (odds ratio [OR], 3.309 [95% CI, 1.434–7.634];
P
=0.005), CVT recurrence (OR, 4.722 [95% CI, 1.639–13.602];
P
=0.004), and no recanalization (OR, 10.158 [95% CI, 4.194–24.600];
P
<0.001) were independently associated with severe headache. Severe headache was more frequent in patients with unfavorable outcome (11/25 [44.0%] versus 32/300 [10.7%];
P
<0.001). In patients with favorable outcome, the risk factors for severe headache were isolated intracranial hypertension (OR, 3.236 [95% CI, 1.268–8.256];
P
=0.014) and no recanalization (OR, 7.863 [95% CI, 3.120–19.812];
P
<0.001).

Conclusions:
Isolated intracranial hypertension, CVT recurrence, and no recanalization increased the risk for severe residual headache after CVT.
Dynamic Prevalence of Sleep Disorders Following Stroke or Transient Ischemic Attack
Authors: Hasan Faizul , Gordon Christopher , Wu Dean , Huang Hui-Chuan , Yuliana Lia Taurussia , Susatia Budi , Marta Ollyvia Freeska Dwi , Chiu Hsiao-Yean 
Published: January 2021

Background and Purpose:
The exact prevalence of sleep disorders following stroke or transient ischemic attack (TIA) remains unclear. We aimed to determine the prevalence of sleep-disordered breathing, insomnia, periodic leg movement during sleep, and restless leg syndrome following stroke or TIA in acute, subacute, and chronic phases and examine the moderating effects of patient characteristics (eg, age) and methodological features (eg, study quality) on the prevalence.

Methods:
We performed a systematic review and meta-analysis. Embase and PubMed were searched from inception to December 18, 2019. We included 64 047 adults in 169 studies (prospective, retrospective, case-control, and cross-sectional study designs) reporting the prevalence of sleep disorders following stroke or TIA.

Results:
In the acute phase, the overall prevalence of mild, moderate, and severe sleep-disordered breathing was 66.8%, 50.3%, and 31.6% (95% CIs, 63.8–69.7, 41.9–58.7, and 24.9–39.1). In the subacute phase, the prevalence of mild, moderate, and severe sleep-disordered breathing was 65.5%, 44.3%, and 36.1% (95% CIs, 58.9–71.5, 36.1–52.8, and 22.2–52.8). In the chronic phase, the summary prevalence of mild, moderate, and severe sleep-disordered breathing was 66.2%, 33.1%, and 25.1% (95% CIs, 58.6–73.1, 24.8–42.6, and 10.9–47.6). The prevalence rates of insomnia in the acute, subacute, and chronic phases were 40.7%, 42.6%, and 35.9% (95% CIs, 31.8–50.3, 31.7–54.1, and 28.6–44.0). The pooled prevalence of periodic leg movement during sleep in the acute, subacute, and chronic phases was 32.0%, 27.3%, and 48.2% (95% CIs, 7.4–73.5, 11.6–51.7, and 33.1–63.5). The summary prevalence of restless leg syndrome in the acute and chronic phases was 10.4% and 13.7% (95 CIs, 6.4–16.4 and 2.3–51.8). Age, sex, comorbidities, smoking history, and study region had significant moderating effects on the prevalence of sleep disorders.

Conclusions:
Sleep disorders following stroke or TIA are highly prevalent over time. Our findings indicate the importance of early screening and treating sleep disorders following stroke or TIA.
Anecdotic observations of homosexual behaviour among male capuchin monkeys (Sapajus sp.)
Authors: Rufo Henrique P. , Ottoni Eduardo B. 
Published: January 2021

Abstract
Many species were reported engaging in homosexual behaviour among mammals, birds, reptiles and insects. In primates, this behaviour seems to be much more frequent among apes and Old World monkeys than in New World monkeys, where only a few species, like squirrel monkeys, tamarins, marmosets, and capuchins, have been observed engaging in same-sex mounts. In capuchin monkeys, homosexual mounting has been rarely reported, with a few observations in Cebus capucinus and captive Sapajus groups. However, homosexual behaviour between males of the genus Sapajus has never before been reported outside captivity. Our observations are the first made with a semi free-ranging group living in the Tiete Ecological Park (São Paulo, SP, Brazil), during an experimental study. Four events of male-male mounts were observed, involving six individuals — two juveniles and four adults, which do not seem related to hierarchical or age group factors, but could be related to getting access to our experimental apparatus.
Fledgling sex-ratio is biased towards the helping sex in a Neotropical cooperative breeder, the brown-and-yellow marshbird (Pseudoleistes virescens)
Authors: Mermoz Myriam E. , Villarruel Cecilia , de la Colina Alicia , Mahler Bettina 
Published: January 2021

Abstract
In many cooperatively breeding species, helpers increase the breeding success of their parents. The repayment hypothesis predicts a skewed sex-ratio towards the helping sex at population level; at individual level bias would increase in broods attended by a smaller number of helpers. We studied a brown-and-yellow marshbird (Pseudoleistes virescens) population during 11 breeding seasons. We found that 90% of helpers were males and that they increased nestling survival, although this effect disappeared in presence of parasitic shiny cowbirds. Helpers sometimes helped at nests of adults other than their parents. Population sex-ratio of fledglings was highly skewed towards males (1.4:1). At individual level, male-biased sex-ratio of fledglings was more pronounced early in the season and increased with brood losses but was not affected by number of helpers. Marshbirds feed at communal areas so retaining helpers would not be costly. Therefore, a general skew towards males might be the best adaptive strategy.
Modified View of Energy Budget Diagram and Its Application to the Kuroshio Extension Region
Authors: Matsuta Takuro , Masumoto Yukio 
Published: January 2021

AbstractThe nonlocality of eddy–mean flow interactions, which appears explicitly in the modified Lorentz diagram as a form of the interaction energy, and its link to other estimation methods are revisited, and a new formulation for the potential enstrophy is proposed. The application of these methods to the Kuroshio Extension region suggests that the combined use of energy analysis with other methods, including the potential enstrophy diagram, provides more comprehensive understandings for the eddy–mean flow interactions in the limited region. It is shown that the interaction energy is transported from the nearshore and upstream regions to the downstream region in the form of the interaction energy flux, causing acceleration of the Kuroshio Extension jet in the downstream region. The potential enstrophy diagram indicates that the eddy field decelerates (accelerates) the jet in the nearshore (downstream) region, which is a consistent result with the energy analysis. It turns out that the interaction potential enstrophy flux is radiated from a region of the eddy kinetic energy maximum toward the upstream region, which is the opposite direction from the interaction energy flux. The interaction potential enstrophy flux that originated from this eddy kinetic energy maximum region also convergences near the center of the northern recirculation gyre of the Kuroshio Extension region and tends to stabilize the structures of the recirculation gyre. Together with the energy analysis that indicates the eddy field accelerates the northeastern part of the recirculation gyre through the local interactions, the present analyses support the arguments on the eddy-driven northern recirculation gyre.
Giant inguinoscrotal hernia in children: two rare cases
Authors: Aihole Jayalaxmi Shripati 
Published: January 2021

Abstract
Background
Inguinal hernia is one of the most common surgical diseases encountered in adults as well as in children. Though rare, giant inguinoscrotal hernias are reported in adults, however, are rarely reported in children.

Case presentation
Here is a report of two rare cases of giant inguinoscrotal hernias in children managed successfully.

Conclusion
Giant inguinoscrotal hernias in children are rare and should be referred early and managed in a tertiary care paediatric centre.
Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform
Authors: Gao Shengqiao , Han Lu , Luo Dan , Liu Gang , Xiao Zhiyong , Shan Guangcun , Zhang Yongxiang , Zhou Wenxia 
Published: January 2021

Abstract
Background
Querying drug-induced gene expression profiles with machine learning method is an effective way for revealing drug mechanism of actions (MOAs), which is strongly supported by the growth of large scale and high-throughput gene expression databases. However, due to the lack of code-free and user friendly applications, it is not easy for biologists and pharmacologists to model MOAs with state-of-art deep learning approach.

Results
In this work, a newly developed online collaborative tool, Genetic profile-activity relationship (GPAR) was built to help modeling and predicting MOAs easily via deep learning. The users can use GPAR to customize their training sets to train self-defined MOA prediction models, to evaluate the model performances and to make further predictions automatically. Cross-validation tests show GPAR outperforms Gene set enrichment analysis in predicting MOAs.

Conclusion
GPAR can serve as a better approach in MOAs prediction, which may facilitate researchers to generate more reliable MOA hypothesis.
Set-theory based benchmarking of three different variant callers for targeted sequencing
Authors: Molina-Mora Jose Arturo , Solano-Vargas Mariela 
Published: January 2021

Abstract
Background
Next generation sequencing (NGS) technologies have improved the study of hereditary diseases. Since the evaluation of bioinformatics pipelines is not straightforward, NGS demands effective strategies to analyze data that is of paramount relevance for decision making under a clinical scenario. According to the benchmarking framework of the Global Alliance for Genomics and Health (GA4GH), we implemented a new simple and user-friendly set-theory based method to assess variant callers using a gold standard variant set and high confidence regions. As model, we used TruSight Cardio kit sequencing data of the reference genome NA12878. This targeted sequencing kit is used to identify variants in key genes related to Inherited Cardiac Conditions (ICCs), a group of cardiovascular diseases with high rates of morbidity and mortality.

Results
We implemented and compared three variant calling pipelines (Isaac, Freebayes, and VarScan). Performance metrics using our set-theory approach showed high-resolution pipelines and revealed: (1) a perfect recall of 1.000 for all three pipelines, (2) very high precision values, i.e. 0.987 for Freebayes, 0.928 for VarScan, and 1.000 for Isaac, when compared with the reference material, and (3) a ROC curve analysis with AUC > 0.94 for all cases. Moreover, significant differences were obtained between the three pipelines. In general, results indicate that the three pipelines were able to recognize the expected variants in the gold standard data set.

Conclusions
Our set-theory approach to calculate metrics was able to identify the expected ICCs related variants by the three selected pipelines, but results were completely dependent on the algorithms. We emphasize the importance to assess pipelines using gold standard materials to achieve the most reliable results for clinical application.
H2V: a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection
Authors: Zhou Nan , Bao Jinku , Ning Yuping 
Published: January 2021

AbstractBackgroundThe ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to more than 50 million confirmed cases and more than 1 million deaths across 219 countries as of 11 November 2020, according to WHO statistics. SARS-CoV-2, SARS-CoV, and MERS-CoV are similar. They are highly pathogenic and threaten public health, impair the economy, and inflict long-term impacts on society. No drug or vaccine has been approved as a treatment for these viruses. Efforts to develop antiviral measures have been hampered by the insufficient understanding of how the human body responds to viral infections at the cellular and molecular levels.ResultsIn this study, journal articles and transcriptomic and proteomic data surveying coronavirus infections were collected. Response genes and proteins were then identified by differential analyses comparing gene/protein levels between infected and control samples. Finally, the H2V database was created to contain the human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection.ConclusionsH2V provides molecular information about the human response to infection. It can be a powerful tool to discover cellular pathways and processes relevant for viral pathogenesis to identify potential drug targets. It is expected to accelerate the process of antiviral agent development and to inform preparations for potential future coronavirus-related emergencies. The database is available at:http://www.zhounan.org/h2v.
The micro-RNA content of unsorted cryopreserved bovine sperm and its relation to the fertility of sperm after sex-sorting
Authors: Keles Esin , Malama Eleni , Bozukova Siyka , Siuda Mathias , Wyck Sarah , Witschi Ulrich , Bauersachs Stefan , Bollwein Heinrich 
Published: January 2021

Abstract
Background
The use of sex-sorted sperm in cattle assisted reproduction is constantly increasing. However, sperm fertility can substantially differ between unsorted (conventional) and sex-sorted semen batches of the same sire. Sperm microRNAs (miRNA) have been suggested as promising biomarkers of bull fertility the last years. In this study, we hypothesized that the miRNA profile of cryopreserved conventional sperm is related to bull fertility after artificial insemination with X-bearing sperm. For this purpose, we analyzed the miRNA profile of 18 conventional sperm samples obtained from nine high- (HF) and nine low-fertility (LF) bulls that were contemporaneously used to produce conventional and sex-sorted semen batches. The annual 56-day non-return rate for each semen type (NRRconv and NRRss, respectively) was recorded for each bull.

Results
In total, 85 miRNAs were detected. MiR-34b-3p and miR-100-5p were the two most highly expressed miRNAs with their relative abundance reaching 30% in total. MiR-10a-5p and miR-9-5p were differentially expressed in LF and HF samples (false discovery rate < 10%). The expression levels of miR-9-5p, miR-34c, miR-423-5p, miR-449a, miR-5193-5p, miR-1246, miR-2483-5p, miR-92a, miR-21–5p were significantly correlated to NRRss but not to NRRconv. Based on robust regression analysis, miR-34c, miR-7859 and miR-342 showed the highest contribution to the prediction of NRRss.

Conclusions
A set of miRNAs detected in conventionally produced semen batches were linked to the fertilizing potential of bovine sperm after sex-sorting. These miRNAs should be further evaluated as potential biomarkers of a sire’s suitability for the production of sex-sorted sperm.
Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening
Authors: Nilo-Poyanco Ricardo , Moraga Carol , Benedetto Gianfranco , Orellana Ariel , Almeida Andrea Miyasaka 
Published: January 2021

Abstract
Background
Fruit ripening in Prunus persica melting varieties involves several physiological changes that have a direct impact on the fruit organoleptic quality and storage potential. By studying the proteomic differences between the mesocarp of mature and ripe fruit, it would be possible to highlight critical molecular processes involved in the fruit ripening.

Results
To accomplish this goal, the proteome from mature and ripe fruit was assessed from the variety O’Henry through shotgun proteomics using 1D-gel (PAGE-SDS) as fractionation method followed by LC/MS-MS analysis. Data from the 131,435 spectra could be matched to 2740 proteins, using the peach genome reference v1. After data pre-treatment, 1663 proteins could be used for comparison with datasets assessed using transcriptomic approaches and for quantitative protein accumulation analysis. Close to 26% of the genes that code for the proteins assessed displayed higher expression at ripe fruit compared to other fruit developmental stages, based on published transcriptomic data. Differential accumulation analysis between mature and ripe fruit revealed that 15% of the proteins identified were modulated by the ripening process, with glycogen and isocitrate metabolism, and protein localization overrepresented in mature fruit, as well as cell wall modification in ripe fruit. Potential biomarkers for the ripening process, due to their differential accumulation and gene expression pattern, included a pectin methylesterase inhibitor, a gibbellerin 2-beta-dioxygenase, an omega-6 fatty acid desaturase, a homeobox-leucine zipper protein and an ACC oxidase. Transcription factors enriched in NAC and Myb protein domains would target preferentially the genes encoding proteins more abundant in mature and ripe fruit, respectively.

Conclusions
Shotgun proteomics is an unbiased approach to get deeper into the proteome allowing to detect differences in protein abundance between samples. This technique provided a resolution so that individual gene products could be identified. Many proteins likely involved in cell wall and sugar metabolism, aroma and color, change their abundance during the transition from mature to ripe fruit.
A transfer learning model with multi-source domains for biomedical event trigger extraction
Authors: Chen Yifei 
Published: January 2021

AbstractBackgroundAutomatic extraction of biomedical events from literature, that allows for faster update of the latest discoveries automatically, is a heated research topic now. Trigger word recognition is a critical step in the process of event extraction. Its performance directly influences the results of the event extraction. In general, machine learning-based trigger recognition approaches such as neural networks must to be trained on a dataset with plentiful annotations to achieve high performances. However, the problem of the datasets in wide coverage event domains is that their annotations are insufficient and imbalance. One of the methods widely used to deal with this problem is transfer learning. In this work, we aim to extend the transfer learning to utilize multiple source domains. Multiple source domain datasets can be jointly trained to help achieve a higher recognition performance on a target domain with wide coverage events.ResultsBased on the study of previous work, we propose an improved multi-source domain neural network transfer learning architecture and a training approach for biomedical trigger detection task, which can share knowledge between the multi-source and target domains more comprehensively. We extend the ability of traditional adversarial networks to extract common features between source and target domains, when there is more than one dataset in the source domains. Multiple feature extraction channels to simultaneously capture global and local common features are designed. Moreover, under the constraint of an extra classifier, the multiple local common feature sub-channels can extract and transfer more diverse common features from the related multi-source domains effectively. In the experiments, MLEE corpus is used to train and test the proposed model to recognize the wide coverage triggers as a target dataset. Other four corpora with the varying degrees of relevance with MLEE from different domains are used as source datasets, respectively. Our proposed approach achieves recognition improvement compared with traditional adversarial networks. Moreover, its performance is competitive compared with the results of other leading systems on the same MLEE corpus.ConclusionsThe proposed Multi-Source Transfer Learning-based Trigger Recognizer (MSTLTR) can further improve the performance compared with the traditional method, when the source domains are more than one. The most essential improvement is that our approach represents common features in two aspects: the global common features and the local common features. Hence, these more sharable features improve the performance and generalization of the model on the target domain effectively.