bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying the development of a tropical depression into a tropical storm over the South China Sea
Authors: Huang Huijun , Yuan Jinnan , Wen Guanhuan , Bi Xueyan , Huang Ling , Zhou Mingsen 
Published: May 2021

AbstractTropical depressions formed over the South China Sea usually produce severe flooding and wind damage when they develop into a storm and make landfall. To provide an early warning, forecasters should know when, and if, a tropical depression will develop into a tropical storm. To better understand and predict such development, we examine the dynamic and thermodynamic variables of 74 tropical depressions over the South China Sea, 52 of which developed into storms, hereafter ‘developing’, the remaining being classified as ‘nondeveloping’. Using NCEP FNL (National Centers for Environmental Prediction Final) data, verified with ECMWF forecast data, we examine the dynamic and thermodynamic statistics that characterize these tropical cyclones. Based on these characteristics, we propose seven criteria to determine whether a tropical depression will develop. Five had been used before, but two new criteria are also found useful. These two are associated with the diabatic heating rate and help to determine whether a tropical cyclone diurnal cycle exists and whether the convection system remains intact in the center: 1) Presence of a regular diurnal variation of the diabatic heating-rate at the center. 2) Occurrence of specific peaks in the radiative-heating profile. We test all seven criteria on all tropical depression cases in 2018–2019 before the system developed or decayed, showing that these criteria can help to operationally identify whether or not a tropical depression develops into a tropical storm with an average lead time of 36.6 h.
A Note on the Accuracy of Normal Approximation of Random Quantities
Authors: Ahmad Ibrahim A. , Mugdadi A. R. 
Published: May 2021

For a sequence of independent, identically distributed random variable (iid rv's) [Formula: see text] and a sequence of integer-valued random variables [Formula: see text], define the random quantiles as [Formula: see text], where [Formula: see text] denote the largest integer less than or equal to [Formula: see text], and [Formula: see text] the [Formula: see text]th order statistic in a sample [Formula: see text] and [Formula: see text]. In this note, the limiting distribution and its exact order approximation are obtained for [Formula: see text]. The limiting distribution result we obtain extends the work of several including Wretman[Formula: see text]. The exact order of normal approximation generalizes the fixed sample size results of Reiss[Formula: see text]. AMS 2000 subject classification: 60F12; 60F05; 62G30.
From “Secret” to “Sensitive Issue”: Shifting Ideas About HIV Disclosure Among Middle-Aged and Older Rural South Africans in the Era of Antiretroviral Treatment
Authors: Schatz Enid , David Ifeolu , Angotti Nicole , Gómez-Olivé F. Xavier , Mojola Sanyu A. 
Published: May 2021

Objective As HIV shifts from “death sentence” to “chronic condition,” disclosure of HIV status to intimate partners and family is a significant component of both prevention and treatment adherence. While disclosure is closely considered in many studies, few examine middle-aged and older persons’ (age 40+) perspectives or practices. We trace older rural South Africans’ views on HIV disclosure to their partners and family members in a high prevalence community over a period of extensive antiretroviral treatment (ART) rollout. Methods Community focus group discussions (FGD) conducted in 2013 and 2018 show shifts in older persons’ thinking about HIV disclosure. Findings Our FGD participants saw fewer negative consequences of disclosure in 2018 than in 2013, and highlighted positive outcomes including building trust (partners) as well as greater support for medication collection and adherence (family). Discussion Particularly as the epidemic ages in South Africa and globally, tracing changes in older persons’ views on disclosure is an important step in developing messaging that could enhance treatment as prevention and ART adherence.
Experiences of Iranian Pediatric Nurses in Providing Care to Hospitalized Children of Different Language Backgrounds: A Qualitative Study
Authors: Beykmirza Raziyeh , Negarandeh Reza , Varzeshnejad Maryam 
Published: May 2021

Introduction Communication is one of the main foundations of providing care. Nurses have encountered patients from different languages due to globalization and mobilities within and between countries. This study aimed to explore the Iranian pediatric nurses’ experiences in providing care for children of different language backgrounds. Methodology In this conventional qualitative content analysis study, 15 pediatric nurses were selected through purposive sampling from four specialty pediatric hospitals in Tehran, Iran. Data were collected via in-depth semistructured face-to-face interviews and concurrently analyzed via conventional content analysis. Results Data analysis resulted in 132 primary codes, which were reduced to 95 during constant comparison and categorized into 34 subcategories, six main categories, and the main theme emerging from the categories was “language as a barrier in providing effective nursing care.” Discussion This study suggests that language differences between pediatric nurses and hospitalized children may make nursing care less effective and act as a barrier to achieving patient care goals.
Global Health Impacts of Dust Storms: A Systematic Review
Authors: Aghababaeian Hamidreza , Ostadtaghizadeh Abbas , Ardalan Ali , Asgary Ali , Akbary Mehry , Yekaninejad Mir Saeed , Stephens Carolyn 
Published: May 2021

Background: Dust storms and their impacts on health are becoming a major public health issue. The current study examines the health impacts of dust storms around the world to provide an overview of this issue. Method: In this systematic review, 140 relevant and authoritative English articles on the impacts of dust storms on health (up to September 2019) were identified and extracted from 28 968 articles using valid keywords from various databases (PubMed, WOS, EMBASE, and Scopus) and multiple screening steps. Selected papers were then qualitatively examined and evaluated. Evaluation results were summarized using an Extraction Table. Results: The results of the study are divided into two parts: short and long-term impacts of dust storms. Short-term impacts include mortality, visitation, emergency medical dispatch, hospitalization, increased symptoms, and decreased pulmonary function. Long-term impacts include pregnancy, cognitive difficulties, and birth problems. Additionally, this study shows that dust storms have devastating impacts on health, affecting cardiovascular and respiratory health in particular. Conclusion: The findings of this study show that dust storms have significant public health impacts. More attention should be paid to these natural hazards to prepare for, respond to, and mitigate these hazardous events to reduce their negative health impacts. Registration: PROSPERO registration number CRD42018093325
Attitude Towards Documentation and Its Associated Factors Among Nurses Working in Public Hospitals of Hawassa City Administration, Southern Ethiopia
Authors: Ayele Sisay , Gobena Tesfaye , Birhanu Simon , Yadeta Tesfaye Assebe 
Published: May 2021

Background Nursing documentation is the record of nursing care that has been planned and delivered to individual clients by qualified nurses or under the direction of qualified nurses. Various studies have shown that documentation is still a critical issue in both high- and low-income countries, especially in Sub-Saharan Africa like Ethiopia. However, there is a paucity of data in Ethiopia, the attitude of nurses towards nursing care documentation, particularly in the study setting. Therefore, this study aimed to assess the nurse's attitude towards documentation and associated factors in Hawassa City administration public hospitals, Southern Ethiopia. Methods Institutional based cross-sectional study was conducted among 422 nurses from March 01 to 30, 2020. A simple random sampling technique was applied to select the study participants. Data were collected using a self-administered questionnaire. Statistical package of social science (SPSS) version 20.0 software was used for analysis. The association between the attitude of nurses towards documentation and predictors was determined using multivariable logistic regression analysis. The level of statistical significance was determined at a p-value of less than 0.05. Result Among 413 nurses who participated in the study, 58.8% [95% CI of 54.5% to 63.7%] of them had a favorable attitude towards documentation. Work setting [AOR = 1.94 (95% CI: 1.23–3.05)] and Knowledge [AOR = 3.28 (95% CI: 2.08–5.16)], were significantly associated factors with nurses’ attitude towards documentation. Conclusion and Recommendations: More than half of the study participants had a favorable attitude towards documentation. Working unit and knowledge were factors associated with nurse's attitude toward nursing care documentation. Therefore, increasing nurse's knowledge about documentation and managing working units effectively are recommended to increase the nurses’ attitude toward documentation.
A Better Learning Community: Mixed-Methods Reveal Medical Student Preferences with Implications for Learning Community Design and Implementation
Authors: Vuk Jasna , McKee Steven , Tariq Sara , Mendiratta Priya 
Published: May 2021

Background: Medical school learning communities benefit students. The College of Medicine (COM) at the University of Arkansas for Medical Sciences (UAMS) provides medical students with academic, professional, and personal support through a learning community (LC) made of 7 academic houses. Objectives: To evaluate the effectiveness of the academic house model at UAMS utilizing a mixed-methods survey. The aims were to: (1) assess student experience and satisfaction with academic houses, (2) describe the realms of advising and guidance, and (3) identify areas for improvement. Method: An online survey was assigned to 723 COM students (all students enrolled, first through fourth years) at UAMS in March 2019. The survey was comprised of 25 items (10 multiple-choice, 8 on the Likert scale, and 7 open-ended questions). Data was depicted using frequency and percentages and/or thematic review of free-form responses. Results: The survey response rate was 31% (227 students). The majority of students responding (132, 58.1%) attended 2 or more face-to-face meetings with the faculty advisor within the preceding year. However, 27 (11.9%) students did not have any meetings. Approximately two-thirds of the respondents were satisfied or very satisfied with the guidance and direction provided by their advisors [very satisfied (n = 83; 36.6%); satisfied (n = 77; 33.9%)]. Themes that emerged from student generated areas for improvement include time constraints, advisor/advisee interest mismatch, and perceived inadequacy of advising content/connections. Conclusions: This study confirms the effectiveness of the LC model for advising and mentoring in the COM at UAMS. Uniquely, this study identifies not only learners’ satisfaction with their LC but also highlights areas for improvement which are widely generalizable and important to consider for institutions with or planning to start an LC.
Comprehensive machine-learning-based analysis of microRNA–target interactions reveals variable transferability of interaction rules across species
Authors: Ben Or Gilad , Veksler-Lublinsky Isana 
Published: May 2021

Abstract
Background
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally via base-pairing with complementary sequences on messenger RNAs (mRNAs). Due to the technical challenges involved in the application of high-throughput experimental methods, datasets of direct bona fide miRNA targets exist only for a few model organisms. Machine learning (ML)-based target prediction models were successfully trained and tested on some of these datasets. There is a need to further apply the trained models to organisms in which experimental training data are unavailable. However, it is largely unknown how the features of miRNA–target interactions evolve and whether some features have remained fixed during evolution, raising questions regarding the general, cross-species applicability of currently available ML methods.

Results
We examined the evolution of miRNA–target interaction rules and used data science and ML approaches to investigate whether these rules are transferable between species. We analyzed eight datasets of direct miRNA–target interactions in four species (human, mouse, worm, cattle). Using ML classifiers, we achieved high accuracy for intra-dataset classification and found that the most influential features of all datasets overlap significantly. To explore the relationships between datasets, we measured the divergence of their miRNA seed sequences and evaluated the performance of cross-dataset classification. We found that both measures coincide with the evolutionary distance between the compared species.

Conclusions
The transferability of miRNA–targeting rules between species depends on several factors, the most associated factors being the composition of seed families and evolutionary distance. Furthermore, our feature-importance results suggest that some miRNA–target features have evolved while others remained fixed during the evolution of the species. Our findings lay the foundation for the future development of target prediction tools that could be applied to “non-model” organisms for which minimal experimental data are available.

Availability and implementation
The code is freely available at https://github.com/gbenor/TPVOD.
CDSeqR: fast complete deconvolution for gene expression data from bulk tissues
Authors: Kang Kai , Huang Caizhi , Li Yuanyuan , Umbach David M. , Li Leping 
Published: May 2021

AbstractBackgroundBiological tissues consist of heterogenous populations of cells. Because gene expression patterns from bulk tissue samples reflect the contributions from all cells in the tissue, understanding the contribution of individual cell types to the overall gene expression in the tissue is fundamentally important. We recently developed a computational method, CDSeq, that can simultaneously estimate both sample-specific cell-type proportions and cell-type-specific gene expression profiles using only bulk RNA-Seq counts from multiple samples. Here we present an R implementation of CDSeq (CDSeqR) with significant performance improvement over the original implementation in MATLAB and an added new function to aid cell type annotation. The R package would be of interest for the broader R community.ResultWe developed a novel strategy to substantially improve computational efficiency in both speed and memory usage. In addition, we designed and implemented a new function for annotating the CDSeq estimated cell types using single-cell RNA sequencing (scRNA-seq) data. This function allows users to readily interpret and visualize the CDSeq estimated cell types. In addition, this new function further allows the users to annotate CDSeq-estimated cell types using marker genes. We carried out additional validations of the CDSeqR software using synthetic, real cell mixtures, and real bulk RNA-seq data from the Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) project.ConclusionsThe existing bulk RNA-seq repositories, such as TCGA and GTEx, provide enormous resources for better understanding changes in transcriptomics and human diseases. They are also potentially useful for studying cell–cell interactions in the tissue microenvironment. Bulk level analyses neglect tissue heterogeneity, however, and hinder investigation of a cell-type-specific expression. The CDSeqR package may aid in silico dissection of bulk expression data, enabling researchers to recover cell-type-specific information.
Life history, systematics and flight ability of the Early Permian stem-mayflies in the genus Misthodotes Sellards, 1909 (Insecta, Ephemerida, Permoplectoptera)
Authors: Sroka Pavel , Godunko Roman J. , Sinitshenkova Nina D. , Prokop Jakub 
Published: May 2021

AbstractBackgroundThe stem-group of Ephemeroptera is phylogenetically important for understanding key steps in evolutionary history of early pterygote insects. However, these taxa have been mostly studied from the taxonomy point of view focused on the pattern of wing venation and often using only classical optical microscopy devices. In-depth studies on detailed morphology of the different body structures are scarcely performed, although the results are critical for elucidation of life history traits and their evolutionary pattern among the basal pterygotes.ResultsNew information is presented on the morphology of two species ofMisthodotes, which are stem-mayflies from the Early Permian. Based on new results obtained from a re-examination of the type specimens and supplementary material, we infer the life history traits of both the adult and larval stages of these Palaeozoic insects and reconsider previous interpretations. For the first time, we report the structure of the thoracic pleura and the articulation at the base of the wing in a stem-group of Ephemeroptera and compare them with those of extant mayflies. We also provide additional support for the systematic placement of investigated taxa and an amended diagnosis of the genusMisthodotes.ConclusionsAdultMisthodotes sharoviandMisthodotes zalesskyi had chewing mouthparts, which enabled them to scavenge or feed on plants. The wing apparatus was adapted for slow powered flapping flight and gliding, using long caudal filaments for steering. The wing base does not have rows of articulary sclerites as previously hypothesized for some Palaeozoic taxa but inflexible axilla similar to that found in modern mayflies. The structure of the thoracic pleura is also similar to that in the crown group of Ephemeroptera, while differences in the course of sutures may be explained by an evolutionary trend towards more powerful dorsoventral flying musculature and forewing-based flight (anteromotorism) in modern taxa. There is no evidence for swarming behaviour and mating in the air as occurs in modern mayflies as they had none of the associated morphological adaptations. Putative larvae ofMisthodotescan not be unambiguously associated with the adults. They also exhibit some morphological specializations of Protereismatidae like 9 pairs of abdominal tracheal gills supporting their benthic lifestyle with legs adapted to burrowing.
Consumption of OLL1073R-1 yogurt improves psychological quality of life in women healthcare workers: secondary analysis of a randomized controlled trial
Authors: Kinoshita Tetsu , Maruyama Koutatsu , Suyama Keiko , Nishijima Mariko , Akamatsu Kimiko , Jogamoto Akiko , Katakami Kikumi , Saito Isao 
Published: May 2021

Abstract
Background
We conducted a randomized controlled trial to investigate the effects of consumption of yogurt fermented with Lactobacillus delbrueckii ssp. bulgaricus OLL1073R-1 in women healthcare workers. In a previous study we used these data to investigate hypothesized preventive effects against flu, however any effects on improving mental quality of life were not analyzed at that time. In the present study, we focus on that aspect.

Methods
The participants (961 women; mainly nurses, aged 20–71 years) were randomly allocated to either the yogurt group (n = 479) or the control group (n = 482). Participants in the yogurt group drank 112 mL of OLL1073R-1 yogurt for 16 weeks, while those in the control group did not consume any yogurt. All participants were prohibited from consuming other yogurt or fermented dairy products during the study period. The participants answered the Pittsburgh Sleep Quality Index (PSQI), Short Form-8 Health Survey (SF-8), and Gastrointestinal Symptom Rating Scale (GSRS) questionnaires at baseline and after 16 weeks.

Results
The PSQI score showed significant improvement after the intake of yogurt (p < 0.01). SF-8 results showed significant intervention effects in the General Health and Vitality scores (p = 0.02 and p = 0.01, respectively). In other subscales of SF-8, we did not observe significant effects of the yogurt. In the GSRS, daily intake of yogurt exerted a preventive effect on constipation (p = 0.03).

Conclusions
Consumption of yogurt fermented with Lactobacillus delbrueckii ssp. bulgaricus OLL1073R-1 enhances subjective psychological quality of life by improving quality of sleep and gastrointestinal condition among women healthcare workers.
Risk of ischaemic stroke associated with antiepileptic drugs: a population-based case-control study in Catalonia
Authors: Giner-Soriano Maria , Marsal Josep Ramon , Gomez-Lumbreras Ainhoa , Morros Rosa 
Published: May 2021

Abstract
Background
Cerebrovascular disorders have occurred more frequently in some Central Nervous System (CNS) disorders, such as epilepsy. Some CNS drugs have been associated with increased stroke risk. Our aim was to estimate the risk of ischaemic stroke in patients exposed to antiepileptic drugs (AED).

Methods
Population-based matched case-control study using SIDIAP database, based in electronic health records from primary healthcare from Catalonia, Spain. Cases were those patients with a registered diagnosis of first stroke during 2009–2014. Up to 10 controls were selected for each case and matched by sex, age, and geographic area and without a prior diagnosis of stroke. We considered global drug exposure to AED, past and current exposure and exposure in monotherapy to each AED.

Results
2,865 cases and 19,406 controls were exposed to AED during the study period. Global exposure to levetiracetam [(ORadj3.3, CI95 % 2.8-4.0)], phenytoin [ORadj1.5, CI95 % 1.2–41.9)], and valproic acid [(ORadj 1.3, CI95 % 1.1–1.6)], showed significantly association to ischaemic stroke that was also maintained with current exposure of levetiracetam [ORadj4.1, CI95 % 3.3–5.2)] and valproic acid [ORadj1.4, CI95 % 1.1–1.9)]. Current levetiracetam monotherapy showed a very high risk of ischaemic stroke [(ORadj 5.1, CI95 % 3.7–6.9)].

Conclusions
Drugs used for other conditions than epilepsy (pregabalin, gabapentin) were the most used AED and both did not show a risk. Levetiracetam shows a risk for stroke even when assessed in current monotherapy. The lack of data regarding the link with diagnosis and severity in our study makes it necessary to conduct further studies to confirm or dismiss our results, focussing on levetiracetam.