bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resveratrol Can Revert Adverse Effects of Oocyte aging in Pig
Authors: Abbassi Benazir , Yan Dong , Rui Rong 
Published: December 2020

Abstract
This study was aimed to evaluate the potential of resveratrol (RES) to alleviate the adverse effects of aging in porcine oocytes through alleviating oxidative stress and up-regulating anti-apoptotic genes. Porcine oocytes were cultured in an in vitro medium supplemented with four levels (0, 1, 2, and 4 µmol/L) of RES. Based on initial screening; optimum RES level (2 µmol/L) was used to evaluate its potential effects on oocytes aged for 24 and 48 hours. Our results revealed that aged oocytes (24 h and 48 h) treated with RES showed higher (P < 0.05) ROS fluorescence intensity than the control group, but lower (P < 0.05) than untreated aged groups. The GSH content in untreated aged groups (24 h and 48 h) was lower (P < 0.05) than RES treated groups but both groups showed higher levels than the control. Similarly, the relative expression of antioxidant genes (CAT, GSH-Px, and SOD1) in RES treated groups was lower (P < 0.05) than the control group, but higher than untreated aged groups. Moreover, the relative mRNA expression of caspase-3 and Bax in RES treated groups was higher (P < 0.05) than the control group but lower than untreated groups. Furthermore, the expression of Bcl-2 in the RES treated group was significantly lower than control but higher than untreated aged groups. Our findings revealed that the RES can increase the activity of antioxidant enzymes while decreasing the level of ROS in porcine aged oocytes. Moreover, RES showed its potent anti-apoptotic effects and potentially resisted against the decline in mitochondrial membrane potential in aged oocytes.
What determines HIV self-test acceptability and uptake within the MSM community in Nairobi and its environs? A cross sectional study
Authors: Ndungu Kingori , Gichangi Peter , Temmerman Marleen 
Published: December 2020

Abstract
Background: Human Immunodeficiency Virus self-test (HIVST) refers to a process where a person collects his or her own specimen (blood or oral), performs a test and interprets the results. The interpretation of results can either be done in private or through support of a trusted partner. Self-test should be seen as screening and confirmatory test should be sort.Study ObjectiveTo determine facilitating factors for HIVST acceptability and uptake among MSM community.Methods: The researcher employed a cross-sectional exploratory study design, targeting men who have sex with men (MSM) in Nairobi. Adult men (aged 18-60 years) that reported to be actively engaging in anal or oral sex with men were eligible for the study. The researcher used purposive sampling to identify the sites where data was collected, snowballing technique was then employed to reach the respondents. Data was collected between July 2018-June 2019. A total of 391 MSM respondent were recruited to fill the self-administered questionnaires, 369 MSM completed the questionnaires (response rate = 94%). Results: There was a significant association between self-test and frequency of testing for HIV/AIDS at P-Value of 0.011. The respondents who had a positive result from the previous test were 16% and 80% of the respondents would seek confirmatory test, if tested HIV positive through HIVST. There was also a significant association between respondents who had never tested using self-test kits and the need for a testing “buddy” with a P- Value of 0.014. Fifty nine percent of the respondents would prefer blood sample test kits. High cost of the self-test kits and inadequate knowledge on the use of HIV self-test kits were the main hindrances to HIVST uptake.Conclusions: A significant number of MSM community in Kenya are willing to use HIVST and are likely to seek for care within 30 days and this is a good indicator of linkage. Blood sample kits are more preferred. Key facilitating factors for HIVST uptake include; awareness creation on HIVST, training on usage of kits, emphasis on testing ‘buddy” for first time testers and reduction on cost of the kits.
Does women’s place of birth affect their opportunity for an informed choice about Down syndrome screening? A population-based study in France.
Authors: Anselem Olivia , Saurel-Cubizolles Marie-Josèphe , Khoshnood Babak , Blondel Béatrice , Sauvegrain Priscille , Bertille Nathalie , Azria Elie 
Published: December 2020

Abstract
Background To examine disparities in the opportunity to make an informed choice about Down syndrome screening by maternal place of birth, in France, where the French national authority for health (HAS) recommends that physicians offer it to all. We used population-based data from the nationally representative French Perinatal Surveys in 2010 and 2016 (N=24,644 women) to analyze the opportunity for an informed choice for prenatal screening, measured by a composite indicator. Results Among the 24 644 women in the study, 20 612 (83.6%) were born in France, 861 (3.5%) elsewhere in Europe, 1550 (6.3%) in North Africa, and 960 (3.9%) in Sub-Saharan Africa. The probability of screening was lower for women born outside France. After adjustment for survey year, maternal age, parity, education level, and level of perinatal care of the maternity, women born outside France had less often the opportunity to make an informed choice as compared with women born in France. This association remained essentially the same even after excluding women without adequate prenatal care. Conclusions Women born outside France, including those with adequate prenatal care, had less opportunity than women born in France to make an informed choice about prenatal screening for Down syndrome.
Comparative chloroplast genomes: insights into the evolution of the chloroplast genome of Camellia sinensis and the phylogeny of Camellia&nbsp;
Authors: li Li , Hu Yunfei , He Min , Zhang Bo , Wu Wei , Cai Pumo , Huo Da , Hong Yongcong 
Published: December 2020

Abstract
Background: Chloroplast genome resources can provide useful information for the evolution of plant species. Tea plant (Camellia sinensis) is among the most economically valuable member of Camellia. Here, we determined the chloroplast genome of the first natural triploid Chinary type tea ( ‘Wuyi narcissus’ cultivar of Camellia sinensis var. sinensis, CWN) and conducted the genome comparison with the diploid Chinary type tea (Camellia sinensis var. sinensis, CSS) and two types of diploid Assamica type teas (Camellia sinensis var. assamica: Chinese Assamica type tea, CSA and Indian Assamica type tea, CIA). Further, the evolutionary mechanism of the chloroplast genome of Camellia sinensis and the relationships of Camellia species based on chloroplast genome were discussed.Results: Comparative analysis showed the evolutionary dynamics of chloroplast genome of Camellia sinensis were the repeats and insertion-deletions (indels), and distribution of the repeats, indels and substitutions were significantly correlated. Chinese tea and Indian tea had significant differences in the structural characteristic and the codon usage of the chloroplast genome. Analysis of sequence characterized amplified region (SCAR) using sequences of the intergenic spacers (trnE/trnT) showed none of 292 different Camellia sinensis cultivars had similar sequence characteristic to triploid CWN, but the other four Camellia species did. Estimations of the divergence time showed that CIA diverged from the common ancestor of two Assamica type teas about 6.2 Mya (CI: 4.4-8.1 Mya). CSS and CSA diverged to each other about 0.8 Mya (CI: 0.4-1.5 Mya). Moreover, phylogenetic clustering was not exactly consistent with the current taxonomy of Camellia.Conclusions: The repeat-induced and indel-induced mutations were two important dynamics contributed to the diversification of the chloroplast genome in Camellia sinensis, which were alternative but not mutually exclusive. Chinese tea and Indian tea might have undergone different selection pressures. Chloroplast transfer occurred during the polyploidy in Camellia sinensis. In addition, our results supported the three different domestication origins of Chinary type tea, Chinese Assamica type tea and Indian Assamica type tea. And, the current classification of some Camellia species might need to be further discussed.
Normalization of enzyme expression and activity regulating vitamin A metabolism increases RAR-beta expression and reduces cellular migration and proliferation in diseases caused by tuberous sclerosis gene mutations
Authors: Abdelwahab ElHusseiny MM , Bovari-Biri Judit , Smuk Gabor , Harko Tunde , Fillinger Janos , Moldvay Judit , Krymskaya Vera , Pongracz Judit E 
Published: December 2020

Abstract
Background Mutation in a tuberous sclerosis gene (TSC1 or 2) leads to continuous activation of the mammalian target of rapamycin (mTOR). mTOR activation alters cellular including vitamin A metabolism and retinoic acid receptor beta (RARβ) expression. The goal of the present study was to investigate the molecular connection between vitamin A metabolism and TSC mutation. We also aimed to investigate the effect of the FDA approved drug rapamycin and the vitamin A metabolite retinoic acid (RA) in cell lines with TSC mutation. Methods Expression and activity of vitamin A associated metabolic enzymes and RARβ were assessed in human kidney angiomyolipoma derived cell lines, primary lymphangioleiomyomatosis (LAM) tissue derived LAM cell lines as well as RARβ protein levels were tested in primary LAM lung tissue sections. TaqMan arrays, enzyme activities, qRT-PCRs, immunohistochemistry, immunofluorescent staining and western blotting were performed and analysed. The functional effects of retinoic acid (RA) and rapamycin were tested in a scratch and a BrDU assay to assess cell migration and proliferation. Results Metabolic enzyme arrays revealed a general deregulation of many enzymes involved in vitamin A metabolism including aldehyde dehydrogenases (ALDHs), alcohol dehydrogenases (ADHs) and Cytochrome P450 2E1 (CYP2E1). Furthermore, RARβ downregulation was a characteristic feature of all TSC-deficient cell lines and primary tissues. Combination of the two FDA approved drugs -RA for acute myeloid leukaemia and rapamycin for TSC mutation- normalised ALDH and ADH expression and activity, restored RARβ expression and reduced cellular proliferation and migration. Conclusion Deregulation of vitamin A metabolizing enzymes is a feature of TSC mutation. RA can normalize RARβ levels and limit cell migration, but does not have a significant effect on proliferation. Based on our data, translational studies could confirm whether combination of RA with reduced dosage of rapamycin would have more beneficial effects to higher dosage of rapamycin monotherapy meanwhile reducing adverse effects of rapamycin for patients with TSC mutation.
Graphical-statistical method to explore variability of hydrological time series
Authors: Onyutha Charles 
Published: December 2020

AbstractDue to increasing concern on developing measures for predictive adaptation to climate change impacts on hydrology, several studies have tended to be conducted on trends in climatic data. Conventionally, trend analysis comprises testing the null hypothesis H0 (no trend) by applying the Mann–Kendall or Spearman's rho test to the entire time series. This leads to lack of information about hidden short-durational increasing or decreasing trends (hereinafter called sub-trends) in the data. Furthermore, common trend tests are purely statistical in nature and their results can be meaningless sometimes, especially when not supported by graphical exploration of changes in the data. This paper presents a graphical-statistical methodology to identify and separately analyze sub-trends for supporting attribution of hydrological changes. The method is based on cumulative sum of differences between exceedance and non-exceedance counts of data points. Through the method, it is possible to appreciate that climate variability comprises large-scale random fluctuations in terms of rising and falling hydro-climatic sub-trends which can be associated with certain attributes. Illustration on how to apply the introduced methodology was made using data over the White Nile region in Africa. Links for downloading a tool called CSD-VAT to implement the presented methodology were provided.
Assessing water service performances in rural sub-Saharan Africa environment: The case studies of two councils of the southern and eastern regions of the Republic of Cameroon (Central Africa)
Authors: Mvongo Victor Dang , Defo Célestin 
Published: December 2020

Abstract
This study uses multi-criteria analysis to assess water services performance provided to rural communities. The approach is based on five indicators (water availability, water quality, accessibility, affordability, and reliability) and allows the assessment of service levels. The indicators used provided a solid baseline for water services to identify a strategy for the improvement and achievement of universal access to water. We empirically applied the approach to rural water services in Cameroon and particularly in Mvangan and Mandjou Councils. A total of 77 water services has been investigated through technical inspection (water point inspection, flow measurement, and water quality analysis), semi-structured interviews with the technical services of these councils and surveys with water point committees, including 25 in Mandjou Council and 52 in Mvangan Council. The main results show that 43.40% of villages have enhanced services in Mvangan Council while only 4.76% of services are enhanced in Mandjou Council. Results also suggests that monitoring rural water services can improve the levels of services provided to populations and, hence, universal access to water. These assessments represent only a current snapshot of potable water delivery system conditions and should be conducted at regular intervals to track changes in overall and local conditions.
Cleaning of oil-polluted bottom sediments of the boreal lake, Samotlor oil field, North Russia: case report
Authors: Frank Yulia A. , Vorobiev Danil S. , Merzlyakov Oleg E. , Sataev Farid R. , Trifonov Andrey A. , Kopylov Evgeny O. , Stryuk Konstantin V. , Kalinovskaya Ekaterina A. , Gronskiy Sergey V. , Chibrikov Oleg V. , Perminova Vladislava V. , Branevskiy Yaroslav V. , Kulizhskiy Sergey P. , Hunter Tina Soliman 
Published: December 2020

Abstract
Small lakes in areas of intensive crude oil production may be susceptible to oil pollution arising from accidental spills and leaks, eventually leading to the pollution of bottom sediments. Effective cleaning of aquatic bottom sediments remains a challenge. Flotation is a potentially simple and reliable approach for the cleanup of bottom sediments without their excavation from the water body. Full-scale testing of flotation-based technology using the specially designed airlift plant allowed the cleaning of bottom sediments of an unnamed boreal lake (‘the lake’) within the Samotlor oil field, North Russia, heavily polluted with crude oil several decades ago. The lake bottom sediments are dominated by peat and unevenly polluted with oil. The average oil content in the lake bottom sediments was 111 g kg−1. During the 1.5 months' field test in July–August 2018, the average total oil concentration in the bottom sediments of the lake was reduced to 1.99 g kg−1. Secondary water contamination was minimal; the content of oil hydrocarbons in the water after completion of work did not exceed 0.09 ± 0.04 mg L−1. This study demonstrates that flotation-based technology can be applied for in situ cleaning of oil-contaminated lake bottom sediments including those in boreal climates.
Review and Analysis of Massively Registered Clinical Trials of COVID-19 using the Text Mining Approach
Authors: Patel Swayamprakash , Patel Ashish , Patel Mruduka , Shah Umang , Patel Mehul , Solanki Nilay , Patel Suchita 
Published: December 2020

Objective:
Immediately after the outbreak of nCoV, many clinical trials are registered
for COVID-19. The numbers of registrations are now raising inordinately. It is challenging to understand
which research areas are explored in this massive pool of clinical studies. If such information
can be compiled, then it is easy to explore new research studies for possible contributions in
COVID-19 research.

Methods:
In the present work, a text-mining technique of artificial intelligence is utilized to map
the research domains explored through the clinical trials of COVID-19. With the help of the open--
source and graphical user interface-based tool, 3007 clinical trials are analyzed here. The dataset is
acquired from the international clinical trial registry platform of WHO. With the help of hierarchical
cluster analysis, the clinical trials were grouped according to their common research studies. These
clusters are analyzed manually using their word clouds for understanding the scientific area of
a particular cluster. The scientific fields of clinical studies are comprehensively reviewed and discussed
based on this analysis.

Results:
More than three-thousand clinical trials are grouped in 212 clusters by hierarchical cluster
analysis. Manual intervention of these clusters using their individual word-cloud helped to identify
various scientific areas which are explored in COVID19 related clinical studies.

Conclusion:
The text-mining is an easy and fastest way to explore many registered clinical trials.
In our study, thirteen major clusters or research areas were identified in which the majority of clinical
trials were registered. Many other uncategorized clinical studies were also identified as “miscellaneous
studies”. The clinical trials within the individual cluster were studied, and their research
purposes are compiled comprehensively in the present work.
AYUSH Preparations as Immunity Booster in the Management of SARS -
CoV-2: A Review
Authors: Prajapati Suneel , Sharma Mahima , Kumar Arun , Tripathi Ashish , Kumar GV Narasimha , Singh Shilpi , Singh Monika , Verma Digvijay , Gupta Pankaj 
Published: December 2020

:
In the 21st century, humans are in battle against a deadly contagious disease COVID 19, first reported in Wuhan,
China. Coronavirus Disease designated as COVID 19 is caused by SARS COV 2 virus from beta coronavirus family. Although, there are no specific anti-viral drugs and vaccines against this pandemic disease, however many medicines are being
repurposed for COVID 19 management but have shown a limited success. Traditional medicine systems from ancient times
were used for their immense efficacy with minimal adverse effects compared to allopathic medicines. Thus, for COVID
19 management, researchers are focused on traditional medicines from Ayurveda, Chinese medicine, Unani, Siddha, and
Homeopathy as adjuvant therapy as per anecdotal data regarding their usage in the treatment of Infectious disease. In India,
all the traditional medicine systems are under AYUSH ministry and government has been highlighting AYSUH medicines
for improving immune system against COVID 19. In this review, the authors emphasize on historical background of
AYUSH medicines in the prevention and treatment of infectious diseases and the medicines recommended by AYUSH
ministry for combating against COVID 19 as immunity boosters.
A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis
Authors: Chen Shi , Zhou Lina , Song Yunya , Xu Qian , Wang Ping , Wang Kanlun , Ge Yaorong , Janies Daniel 
Published: December 2020

Background
Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare content features in public discourse of emerging health issues on different social media platforms across a broad sociocultural spectrum.

Objective
We aimed to develop a novel and universal content feature extraction and analytical framework and contrast how content features differ with sociocultural background in discussions of the emerging COVID-19 global health crisis on major social media platforms.

Methods
We sampled the 1000 most shared viral Twitter and Sina Weibo posts regarding COVID-19, developed a comprehensive coding scheme to identify 77 potential features across six major categories (eg, clinical and epidemiological, countermeasures, politics and policy, responses), quantified feature values (0 or 1, indicating whether or not the content feature is mentioned in the post) in each viral post across social media platforms, and performed subsequent comparative analyses. Machine learning dimension reduction and clustering analysis were then applied to harness the power of social media data and provide more unbiased characterization of web-based health communications.

Results
There were substantially different distributions, prevalence, and associations of content features in public discourse about the COVID-19 pandemic on the two social media platforms. Weibo users were more likely to focus on the disease itself and health aspects, while Twitter users engaged more about policy, politics, and other societal issues.

Conclusions
We extracted a rich set of content features from social media data to accurately characterize public discourse related to COVID-19 in different sociocultural backgrounds. In addition, this universal framework can be adopted to analyze social media discussions of other emerging health issues beyond the COVID-19 pandemic.
Peran lembaga informasi dalam era post-truth
Authors: Faturahmi Nurul Ivar 
Published: December 2020

Introduction. The role of information institutions in the post-truth era is important in creating an independent and competent society in dealing with information. This conceptual article aims to see the role of information institutions in responding to community information behavior in the post-truth era.
Data Collection Method. The method in this article uses a qualitative approach with the type of narrative review.
Data Analysis. The analysis was carried out by synthesizing the literature and case studies from several reports discussing the impact of fake news spread in the community.
Results and Discussions. Information institutions need to take an active role in improving the conditions of society through knowledge-based development and information sharing processes, to create a community that is capable in using information and in evaluating the credibility and suitability of information sources.
Conclusion. In the post-truth era, psychological aspects become an important aspect, where one's information behavior becomes more dominantly influenced by emotional dimensions and personal beliefs. This increasingly shows the importance of skills in evaluating information sources and critical thinking more clearly than in previous eras.