bluuebunny/crossref_metadata_2025_split huggingface dataset:
NORHA, a novel follicular atresia-related lncRNA, promotes porcine granulosa cell apoptosis via the miR-183-96-182 cluster and FoxO1 axis
Authors: Yao Wang , Pan Zengxiang , Du Xing , Zhang Jinbi , Liu Honglin , Li Qifa 
Published: October 2021

Abstract
Background
Follicular atresia has been shown to be strongly associated with a low follicle utilization rate and female infertility, which are regulated by many factors such as microRNAs (miRNAs), which constitute a class of noncoding RNAs (ncRNAs). However, little is known about long noncoding RNAs (lncRNAs), which constitute another ncRNA family that regulate follicular atresia.

Results
A total of 77 differentially expressed lncRNAs, including 67 upregulated and 10 downregulated lncRNAs, were identified in early atretic follicles compared to healthy follicles by RNA-Sequencing. We characterized a noncoding RNA that was highly expressed in atretic follicles (NORHA). As an intergenic lncRNA, NORHA was one of the upregulated lncRNAs identified in the atretic follicles. To determine NORHA function, RT-PCR, flow cytometry and western blotting were performed, and the results showed that NORHA was involved in follicular atresia by influencing GC apoptosis with or without oxidative stress. To determine the mechanism of action, bioinformatics analysis, luciferase reporter assay and RNA immunoprecipitation assay were performed, and the results showed that NORHA acted as a ‘sponge’, that directly bound to the miR-183-96-182 cluster, and thus prevented its targeted inhibition of FoxO1, a major sensor and effector of oxidative stress.

Conclusions
We provide a comprehensive perspective of lncRNA regulation of follicular atresia, and demonstrate that NORHA, a novel lncRNA related to follicular atresia, induces GC apoptosis by influencing the activities of the miR-183-96-182 cluster and FoxO1 axis.
Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years
Authors: Wang Yulin , Ye Jun , Ju Feng , Liu Lei , Boyd Joel A. , Deng Yu , Parks Donovan H. , Jiang Xiaotao , Yin Xiaole , Woodcroft Ben J. , Tyson Gene W. , Hugenholtz Philip , Polz Martin F. , Zhang Tong 
Published: October 2021

AbstractBackgroundMicrobial communities in both natural and applied settings reliably carry out myriads of functions, yet how stable these taxonomically diverse assemblages can be and what causes them to transition between states remains poorly understood. We studied monthly activated sludge (AS) samples collected over 9 years from a full-scale wastewater treatment plant to answer how complex AS communities evolve in the long term and how the community functions change when there is a disturbance in operational parameters.ResultsHere, we show that a microbial community in activated sludge (AS) system fluctuated around a stable average for 3 years but was then abruptly pushed into an alternative stable state by a simple transient disturbance (bleaching). While the taxonomic composition rapidly turned into a new state following the disturbance, the metabolic profile of the community and system performance remained remarkably stable. A total of 920 metagenome-assembled genomes (MAGs), representing approximately 70% of the community in the studied AS ecosystem, were recovered from the 97 monthly AS metagenomes. Comparative genomic analysis revealed an increased ability to aggregate in the cohorts of MAGs with correlated dynamics that are dominant after the bleaching event. Fine-scale analysis of dynamics also revealed cohorts that dominated during different periods and showed successional dynamics on seasonal and longer time scales due to temperature fluctuation and gradual changes in mean residence time in the reactor, respectively.ConclusionsOur work highlights that communities can assume different stable states under highly similar environmental conditions and that a specific disturbance threshold may lead to a rapid shift in community composition.
COVID-19 vaccination intention and vaccine characteristics influencing vaccination acceptance: a global survey of 17 countries
Authors: Wong Li Ping , Alias Haridah , Danaee Mahmoud , Ahmed Jamil , Lachyan Abhishek , Cai Carla Zi , Lin Yulan , Hu Zhijian , Tan Si Ying , Lu Yixiao , Cai Guoxi , Nguyen Di Khanh , Seheli Farhana Nishat , Alhammadi Fatma , Madhale Milkar D. , Atapattu Muditha , Quazi-Bodhanya Tasmi , Mohajer Samira , Zimet Gregory D. , Zhao Qinjian 
Published: October 2021

Abstract
Background
The availability of various types of COVID-19 vaccines and diverse characteristics of the vaccines present a dilemma in vaccination choices, which may result in individuals refusing a particular COVID-19 vaccine offered, hence presenting a threat to immunisation coverage and reaching herd immunity. The study aimed to assess global COVID-19 vaccination intention, vaccine characteristics influencing vaccination acceptance and desirable vaccine characteristics influencing the choice of vaccines.

Methods
An anonymous cross-sectional survey was conducted between 4 January and 5 March 2021 in 17 countries worldwide. Proportions and the corresponding 95% confidence intervals (CI) of COVID-19 vaccine acceptance and vaccine characteristics influencing vaccination acceptance were generated and compared across countries and regions. Multivariable logistic regression analysis was used to determine the factors associated with COVID-19 vaccine hesitancy.

Results
Of the 19,714 responses received, 90.4% (95% CI 81.8–95.3) reported likely or extremely likely to receive COVID-19 vaccine. A high proportion of likely or extremely likely to receive the COVID-19 vaccine was reported in Australia (96.4%), China (95.3%) and Norway (95.3%), while a high proportion reported being unlikely or extremely unlikely to receive the vaccine in Japan (34.6%), the U.S. (29.4%) and Iran (27.9%). Males, those with a lower educational level and those of older age expressed a higher level of COVID-19 vaccine hesitancy. Less than two-thirds (59.7%; 95% CI 58.4–61.0) reported only being willing to accept a vaccine with an effectiveness of more than 90%, and 74.5% (95% CI 73.4–75.5) said they would accept a COVID-19 vaccine with minor adverse reactions. A total of 21.0% (95% CI 20.0–22.0) reported not accepting an mRNA vaccine and 51.8% (95% CI 50.3–53.1) reported that they would only accept a COVID-19 vaccine from a specific country‐of‐origin. Countries from the Southeast Asia region reported the highest proportion of not accepting mRNA technology. The highest proportion from Europe and the Americas would only accept a vaccine produced by certain countries. The foremost important vaccine characteristic influencing vaccine choice is adverse reactions (40.6%; 95% CI 39.3–41.9) of a vaccine and effectiveness threshold (35.1%; 95% CI 33.9–36.4).

Conclusions
The inter-regional and individual country disparities in COVID-19 vaccine hesitancy highlight the importance of designing an efficient plan for the delivery of interventions dynamically tailored to the local population.

Graphic Abstract
Descriptive analysis of adverse drug reaction reports in children and adolescents from Germany: frequently reported reactions and suspected drugs
Authors: Dubrall Diana , Leitzen Sarah , Toni Irmgard , Stingl Julia , Schulz M. , Schmid Matthias , Neubert Antje , Sachs Bernhardt 
Published: October 2021

Abstract
Background
Adverse drug reactions (ADRs) in the pediatric population may differ in types and frequencies compared to other populations. Respective studies analyzing ADR reports referring to children have already been performed for certain countries. However, differences in drug prescriptions, among others, complicate the transferability of the results from other countries to Germany or were rarely considered. Hence, the first aim of our study was to analyze the drugs and ADRs reported most frequently in ADR reports from Germany referring to children contained in the European ADR database (EudraVigilance). The second aim was to set the number of ADR reports in relation to the number of drug prescriptions. These were provided by the Research Institute for Ambulatory Health Care in Germany.

Methods
For patients aged 0–17 years 20,854 spontaneous ADR reports were received between 01/01/2000–28/2/2019. The drugs and ADRs reported most frequently were identified. Stratified analyses with regard to age, sex and drugs used “off-label” were performed. Reporting rates (number of ADR reports/number of drug prescriptions) were calculated.

Results
Methylphenidate (5.5%), ibuprofen (2.3%), and palivizumab (2.0%) were most frequently reported as suspected. If related to the number of drug prescriptions, the ranking changed (palivizumab, methylphenidate, ibuprofen). Irrespective of the applied drugs, vomiting (5.4%), urticaria (4.6%) and dyspnea (4.2%) were the ADRs reported most frequently. For children aged 0–1 year, drugs for the treatment of nervous system disorders and foetal exposure during pregnancy were most commonly reported. In contrast, methylphenidate ranked first in children older than 6 years and referred 3.5 times more often to males compared to females. If age- and sex-specific exposure was considered, more ADR reports for methylphenidate referred to children 4–6 years and females 13–17 years. Drugs for the treatment of nervous system disorders ranked first among “off-label” ADR reports.

Conclusions
Our analysis underlines the importance of putting the number of ADR reports of a drug in context with its prescriptions. Additionally, differences in age- and sex-stratified analysis were observed which may be associated with age- and sex-specific diseases and, thus, drug exposure. The drugs most frequently included in “off-label” ADR reports differed from those most often used according to literature.
Structural characterization of polysaccharide from jujube (Ziziphus jujuba Mill.) fruit
Authors: Ji Xiaolong , Cheng Yanqiu , Tian Jingyuan , Zhang Siqi , Jing Yongshuai , Shi Miaomiao 
Published: October 2021

Abstract
Background
Jujube (Ziziphus jujuba Mill.) fruit is one of the largest productions in China and its increasing production has drawn considerable attention from researchers. Polysaccharide is one of the most abundant components of jujube, and it represents a major group of biolotegically active constituents. This study intended to investigate the special structure of a homogeneous acidic polysaccharide (PZMP4) produced from Ziziphus Jujuba cv. Muzao fruit using novel methods, including DEAE-Sepharose Fast Flow and Sephacryl S-300 column chromatography.

Results
The structure of PZMP4 was determined via high-performance gel permeation chromatography (HPGPC), gas chromatography (GC), Fourier transform infrared spectroscopy (FT-IR), methylation analysis, nuclear magnetic resonance spectroscopy (NMR), scanning electron microscopy (SEM), and atomic force microscopy (AFM). The results reveal that PZMP4 with a molecular weight of 27.90 kDa was composed of rhamnose, arabinose, mannose, glucose, galactose, and galacturonic acid at a ratio of 2.32:2.21:0.22:0.88:2.08:8.83. Advanced structural analysis revealed a netted structure with molecular aggregates of PZMP4. Structural features demonstrated that the basic backbone of PZMP4 appeared to mainly consist of (1→4)-linked GalpA with three branches bonded to O-3 of (1→3)-linked Araf, (1→2)-linked Rhap, and terminated with GalpA.

Conclusions
PZMP4’s unique structure could imply distinct bioactivities and have considerable utilization in functional food.

Graphic abstract
One-pot synthesis of (R)- and (S)-phenylglycinol from bio-based l-phenylalanine by an artificial biocatalytic cascade
Authors: Zhang Jiandong , Qi Ning , Gao Lili , Li Jing , Zhang Chaofeng , Chang Honghong 
Published: October 2021

AbstractChiral phenylglycinol is a very important chemical in the pharmaceutical manufacturing. Current methods for synthesis of chiral phenylglycinol often suffered from unsatisfied selectivity, low product yield and using the non-renewable resourced substrates, then the synthesis of chiral phenylglycinol remain a grand challenge. Design and construction of synthetic microbial consortia is a promising strategy to convert bio-based materials into high value-added chiral compounds. In this study, we reported a six-step artificial cascade biocatalysis system for conversion of bio-based l-phenylalanine into chiral phenylglycinol. This system was designed using a microbial consortium including two engineered recombinant Escherichia coli cell modules, one recombinant E. coli cell module co-expressed six different enzymes (phenylalanine ammonia lyase/ferulic acid decarboxylase/phenylacrylic acid decarboxylase/styrene monooxygenase/epoxide hydrolase/alcohol dehydrogenase) for efficient conversion of l-phenylalanine into 2-hydroxyacetophenone. The second recombinant E. coli cell module expressed an (R)-ω-transaminase or co-expressed the (S)-ω-transaminase, alanine dehydrogenase and glucose dehydrogenase for conversion of 2-hydroxyacetophenone into (S)- or (R)-phenylglycinol, respectively. Combining the two engineered E. coli cell modules, after the optimization of bioconversion conditions (including pH, temperature, glucose concentration, amine donor concentration and cell ratio), l-phenylalanine could be easily converted into (R)-phenylglycinol and (S)-phenylglycinol with up to 99% conversion and > 99% ee. Preparative scale biotransformation was also conducted on 100-mL scale, (S)-phenylglycinol and (R)-phenylglycinol could be obtained in 71.0% and 80.5% yields, > 99% ee, and 5.19 g/L d and 4.42 g/L d productivity, respectively. The salient features of this biocatalytic cascade system are good yields, excellent ee, mild reaction condition and no need for additional cofactor (NADH/NAD+), provide a practical biocatalytic method for sustainable synthesis of (S)-phenylglycinol and (R)-phenylglycinol from bio-based L-phenylalanine.
Secondary analysis of malaria rapid diagnostic tests from rounds 5–8 of WHO product testing with a focus on false-negative results
Authors: Xu Biao , Tu Bo , Chu Fang , Jalloh Mohamed , Mu Jin-Song , Zheng Jun-Jie , Chen Wei-Wei 
Published: October 2021

AbstractDespite the widespread use of malaria rapid diagnostic test (RDT) in clinical practice, there are a lot of challenges. We conducted a secondary analysis of 129 malaria RDT data from rounds 5–8 of the World Health Organization (WHO) product testing summary and discuss the causes of false-negative (FN) results with a focus on low parasite density, improper RDT storage, operation and interpretation, and plasmodium falciparum with a pfhrp2/3 gene deletion. The results demonstrated that the malaria RDTs currently commercially available might cause FN results in practice.
Reaching people soon after a traumatic event: an exploratory observational feasibility study of recruitment in the emergency department to deliver a brief behavioral intervention via smartphone to prevent intrusive memories of trauma
Authors: Kanstrup Marie , Rudman Ann , Göransson Katarina , Andersson Emil , Lauri Klara Olofsdotter , Rapoport Emma , Sunnergård Linda , Bragesjö Maria , Andersson Erik , Iyadurai Lalitha , Holmes Emily A. 
Published: October 2021

Abstract
Background
The current study explored how to recruit patients soon after a traumatic event, to deliver a novel intervention in a new emergency department in Sweden. This brief behavioral intervention aims to prevent intrusive memories and is delivered soon after trauma in the emergency department. In the UK, it has shown promising results. Traumatic events resulting in admission to the emergency department (e.g., road traffic accidents) may result in subsequent mental health problems such as post-traumatic stress disorder, where intrusive memories of the trauma constitute a core clinical feature. Early interventions that prevent intrusive memories after psychological trauma are lacking.
Specific aims were to explore identification of eligible patients (aim 1), fitting in with emergency department staff routines to deliver the study protocol (aim 2), and using the patients’ own smartphones to deliver intervention/control task (aim 3). Two changes to the previous study were (i) extending the trauma types included (ii) a new control condition, also by smartphone.

Methods
This is an explorative observational study. Data was both analyzed descriptively and using the Framework method.

Results
We identified several possible ways to recruit patients, and establish a sense of embeddedness in the Swedish emergency department context and a positive appreciation from staff. The study protocol was tested with 8 participants. Tasks both in the intervention and control condition were readily delivered via patients’ own smartphones.

Conclusion
Recruitment of patients and smartphone delivery of the intervention indicates initial feasibility. Researcher presence and administration of study procedures was successfully fitted to emergency department routines and well received by staff. Further pilot work is warranted, underscoring the importance of our collaboration between nursing and psychology.
The genetic diversity of the genus Mus (Linnaeus, 1758) in the eastern part of the North Caucasus
Authors: Tembotova Fatimat , Kuchinova Ekaterina , Amshokova Albina , Kononenko Ekaretina 
Published: October 2021

Abstract
Background
There are two species of Mus in the Caucasus: M. musculus and M. macedonicus. M. musculus is widespread in the Caucasus, where the species is found everywhere from the Black to the Caspian Sea. M. macedonicus is ubiquitous Transcaucasia. The most north-astern border of its distribution in the Caucasus, according to the literature, is located in the Derbent region, near the border between Dagestan and Azerbaijan.

Results
Cytochrome b mt-DNA of genus Mus research in this study in the Eastern Caucasus. About 70% of M. musculus haplotypes from the lowlands of Dagestan were recorded for the first time. One of these haplotypes accounts for approximately 25% of the total species diversity of haplotypes. M. macedonicus was found in only one locality, the Sarykum barchans, where this species prevails in number and accounts for 70% of the total number mice of the genus Mus. The species is characterized by low values of genetic diversity and nucleotide variability, which may indicate that the population originated from a small number of founders and may explain its relative isolation from the main range. The dating of the appearance of the ancestors of M. musculus in the east of the Russian Caucasus corresponds to 99-66 thousand years ago (at a mutation rate of 3-10% per million years).

Conclusion
The results obtained suggest that the history of the appearance of M. musculus in the Eastern Caucasus is more ancient and is not associated with human agricultural activities.
We believe that possibly the ancestral range of M. musculus covered the eastern and western coasts of the Caspian Sea in the territory of southern Dagestan, Azerbaijan, and Iran. In this paper M. macedonicus, a Balkan-Asia Minor species, was registered for the first time in the North Caucasus. This species was registered in the center of Dagestan, where it inhabits sympatrically (on the territory) and syntopically (on the same biotope) with M. musculus. The low values of genetic diversity of M. macedonicus in the North Caucasus suggest that the population originated from a small group of founders.
Explicability of humanitarian AI: a matter of principles
Authors: Coppi Giulio , Moreno Jimenez Rebeca , Kyriazi Sofia 
Published: October 2021

AbstractIn the debate on how to improve efficiencies in the humanitarian sector and better meet people’s needs, the argument for the use of artificial intelligence (AI) and automated decision-making (ADMs) systems has gained significant traction and ignited controversy for its ethical and human rights-related implications.Setting aside the implications of introducing unmanned and automated systems in warfare, we focus instead on the impact of the adoption of AI-based ADMs in humanitarian response. In order to maintain the status and protection conferred by the humanitarian mandate, aid organizations are called to abide by a broad set of rules condensed in the humanitarian principles and notably the principles of humanity, neutrality, impartiality, and independence. But how do these principles operate when decision-making is automated?This article opens with an overview of AI and ADMs in the humanitarian sector, with special attention to the concept of algorithmic opacity. It then explores the transformative potential of these systems on the complex power dynamics between humanitarians, principled assistance, and affected communities during acute crises. Our research confirms that the existing flaws in accountability and epistemic processes can be also found in the mathematical and statistical formulas and in the algorithms used for automation, artificial intelligence, predictive analytics, and other efficiency-gaining-related processes.In doing so, our analysis highlights the potential harm to people resulting from algorithmic opacity, either through removal or obfuscation of the causal connection between triggering events and humanitarian services through the so-called black box effect (algorithms are often described as black boxes, as their complexity and technical opacity hide and obfuscate their inner workings (Diakopoulos, Tow Center for Digital Journ, 2017). Recognizing the need for a humanitarian ethics dimension in the analysis of automation, AI, and ADMs used in humanitarian action, we endorse the concept of “explicability” as developed within the ethical framework of machine learning and human-computer interaction, together with a set of proxy metrics.Finally, we stress the need for developing auditable standards, as well as transparent guidelines and frameworks to rein in the risks of what has been defined as humanitarian experimentation (Sandvik, Jacobsen, and McDonald, Int. Rev. Red Cross 99(904), 319–344, 2017). This article concludes that accountability mechanisms for AI-based systems and ADMs used to respond to the needs of populations in situation of vulnerability should be an essential feature by default, in order to preserve the respect of the do no harm principle even in the digital dimension of aid.In conclusion, while we confirm existing concerns related to the adoption of AI-based systems and ADMs in humanitarian action, we also advocate for a roadmap towards humanitarian AI for the sector and introduce a tentative ethics framework as basis for future research.