bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adjunct use of mouth rinses with a sonic toothbrush accelerates the detachment of a Streptococcus mutans biofilm: an in vitro study
Authors: Ohsumi Tatsuya , Takenaka Shoji , Sakaue Yuuki , Suzuki Yuki , Nagata Ryoko , Hasegawa Taisuke , Ohshima Hayato , Terao Yutaka , Noiri Yuichiro 
Published: May 2020

Abstract
Background : The aim of this in vitro study was to examine the possible enhancement of the biofilm peeling effect of a sonic toothbrush following the use of an antimicrobial mouth rinse. Methods: The biofilm at a noncontact site in the interdental area was treated by sound wave convection with the test solution or by immersion in the solution. The biofilm peeling effect was evaluated by determining the bacterial counts and performing morphological observations. A Streptococcus mutans biofilm was allowed to develop on composite resin discs by cultivation with stirring at 50 rpm for 72 hours. The specimens were then placed in recesses located between plastic teeth and divided into an immersion group and a combination group. The immersion group was treated with phosphate buffer, Peridex™ mouth rinse or Listerine ® mouth rinse. The combination group was treated with Peridex™ or Listerine ® and a sonic toothbrush. Results: The biofilm thickness was reduced by approximately one-half compared with the control group. The combination treatment produced a 1 log reduction in the number of bacteria compared to the Listerine ® immersion treatment. No significant difference was observed in the biofilm peeling effect of the immersion group compared to the control group. Conclusions: The combined use of a sonic toothbrush and a mouth rinse enhanced the peeling of the biofilm that proliferates in places that are difficult to reach using mechanical stress.
The effect of short-course antibiotics on the resistance profile of colonizing gut bacteria in the ICU: a prospective cohort study
Authors: Munck Christian , Sheth Ravi U , Cuaresma Edward , Weidler Jessica , Stump Stephania L , Zachariah Philip , Chong David H , Uhlemann Anne-Catrin , Abrams Julian A , Wang Harris H , FREEDBERG DANIEL E 
Published: May 2020

Abstract
Background : The need for early antibiotics in the intensive care unit (ICU) is often balanced against the goal of antibiotic stewardship. Long-course antibiotics increase the burden of antimicrobial resistance within colonizing gut bacteria, but the dynamics of this process are not fully understood. We sought to determine how short-course antibiotics affect the antimicrobial resistance phenotype and genotype of colonizing gut bacteria in the ICU by performing a prospective cohort study with assessments of resistance at ICU admission and exactly 72 hours later. Methods : Deep rectal swabs were performed on 48 adults at the time of ICU admission and exactly 72 hours later, including patients who did and did not receive antibiotics. To determine resistance phenotype, rectal swabs were cultured for methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE). In addition, Gram-negative bacterial isolates were cultured against relevant antibiotics. To determine resistance genotype, quantitative PCR (qPCR) was performed from rectal swabs for 87 established resistance genes. Within-individual changes in antimicrobial resistance were calculated based on culture and qPCR results and correlated with exposure to relevant antibiotics (e.g., did β-lactam antibiotic exposure associate with a detectable change in β-lactam resistance over this 72-hour period?). Results : Of 48 ICU patients, 41 (85%) received antibiotics. Overall, there was no increase in the antimicrobial resistance profile of colonizing gut bacteria during the 72 hour study period. There was also no increase in antimicrobial resistance after stratification by receipt of antibiotics (i.e., no detectable increase in β-lactam, vancomycin, or macrolide resistance regardless of whether patients received those same antibiotics). This was true for both culture and PCR. Antimicrobial resistance pattern at ICU admission strongly predicted resistance pattern after 72 hours. Conclusions . Short-course ICU antibiotics made little detectable difference in the antimicrobial resistance pattern of colonizing gut bacteria over 72 hours in the ICU. This provides improved understanding of the dynamics of antimicrobial resistance in the ICU and some reassurance that short-course antibiotics may not adversely impact the stewardship goal of reducing antimicrobial resistance.
The reporting quality of the interventional animal experiments in Chinese journals based on the evaluated results of the Animals in Research: Reporting In Vivo Experiments (ARRIVE) guidelines
Authors: Zhao Bing , Jiang Yanbiao , Zhang Ting , Shang Zhizhong , Zhang Weiyi , Hu Kaiyan , Chen Fei , Mei Fan , Gao Qianqian , Zhao Li , Ma Bin , Kwong Joey S.W. 
Published: May 2020

Abstract
Objective To retrospectively evaluate the reporting quality of animal experiments published in Chinese journals adhering to the Animals Research: Reporting of In Vivo Experiments (ARRIVE) guidelines. Methods The databases CNKI, WanFang, VIP, and CBM were searched from inception until July 2018. Two appropriately-trained. reviewers screened and extracted articles independently. The ARRIVE guidelines were used to assess the quality of the published reports of animal experiments. The compliance rate of every item was analyzed relative to the different dates of publication. Results A total of 4342 studies were finally included, of which 73.03% had been cited ≤ 5 times. Only 29.04% (1261/4342) were published in journals listed in the Chinese Science Citation Database. The results indicate that the compliance rate of around half of the sub-items (51.3%, 20/39) was less than 50% and 65.0% (13/20) was less than 10%. Conclusions The reporting quality of animal experiments in Chinese journals is generally at a low to moderate level. Due to the publication of the ARRIVE guidelines in 2010, the compliance rate of the majority of items in the ARRIVE guidelines has improved to some extent. However, less attention has been paid to the ethics and welfare of experimental animals, and a number of specific items in the Methods, Results, and Discussion sections continue to not be reported in sufficient detail. Therefore, it is necessary to popularize the ARRIVE guidelines, advocate researchers to adhere to them in the future, and in particular promote the use of the guidelines in specialized journals, in order that the design, implementation, and reporting of animal experiments is promoted, to ultimately improve their quality.
Aucubin alleviates oxidative stress and inflammation via Nrf2-mediated signaling activity in experimental traumatic brain injury
Authors: Wang Han , Zhou Xiaoming , Wu Lingyun , Liu Guangjie , Xu Weidong , Zhang Xiangsheng , Gao Yongyue , Tao Tao , Zhou Yan , Lu Yue , Wang Juan , Deng Chulei , Zhuang Zong , Hang Chunhua , Li Wei 
Published: May 2020

Abstract
Background: Aucubin (Au), an iridoid glycoside from natural plants, has anti-oxidative and anti-inflammatory bioactivities; however, its effects on a traumatic brain injury (TBI) model remain unknown. We explored the potential role of Au in a H 2 O 2 -induced oxidant damage in primary cortical neurons and weight-drop induced-TBI in a mouse model. Methods: In vitro experiments, the various concentrations of Au (50 μg/ml, 100 μg/ml or 200 μg/ml) were added in culture medium at 0h and 6h after neurons stimulated by H 2 O 2 (100μM). After exposed for 12 hours, neurons were collected for western blot (WB), immunofluorescence and M29,79-dichlorodihydrofluorescein diacetate (DCFH-DA) staining. In vivo experiments, Au (20 mg/kg or 40 mg/kg) was administrated intraperitoneally at 30 min, 12 h, 24 h, and 48 h after modeling. Brain water content, neurological deficits and cognitive functions were measured at specific time, respectively. Cortical tissue around focal trauma was collected for WB, TdT-mediated dUTP Nick-End Labeling (TUNEL) staining, Nissl staining, quantitative real time polymerase chain reaction (q-PCR), immunofluorescence/immunohistochemistry and enzyme linked immunosorbent assay (ELISA) at 72 h after TBI. RNA interference experiments were performed to determine the effects of Nuclear factor erythroid-2 related factor 2 (Nrf2) on TBI mice with Au (40 mg/kg) treatment. Mice were intracerebroventricularly administrated with lentivirus at 72 h before TBI establishment. The cortex was obtained at 72 h after TBI and used for WB and q-PCR. Results: Au enhanced the translocation of Nrf2 into the nucleus, activated antioxidant enzymes, suppressed excessive generation of reactive oxygen species (ROS) and reduced cell apoptosis both in vitro and vivo experiments. In the mice model of TBI, Au markedly attenuated brain edema, histological damages and improved neurological and cognitive deficits. Au significantly suppressed high mobility group box 1(HMGB1)-mediated aseptic inflammation. Nrf2 knockdown in TBI mice blunted the antioxidant and anti-inflammatory neuroprotective effects of the Au. Conclusions: Taken together, our data suggest that Au provides a neuroprotective effect in TBI mice model by inhibiting oxidative stress and inflammatory responses; the mechanisms involve triggering Nrf2-induced antioxidant system.
Framing and Self-Responsibility Modulate Brain Activities in Decision Escalation
Authors: Liang Ting-Peng , Li Yuwen , Yen Nai-Shing , Turel Ofir , Hsu Sen-Mou 
Published: May 2020

Abstract
Background: Escalation of commitment is a common bias in human decision making. The present study examined (1) differences in neural recruitment for escalation and de-escalation decisions of prior investments, and (2) how the activation of these brain networks are modulated by two contextual/confounding factors: (i) responsibility, and (ii) framing of the success probabilities. Results: Imaging data were obtained from functional magnetic resonance imaging (fMRI) applied to 29 participants. A whole-brain analysis was conducted to compare brain activations between conditions. ROI analysis, then, was used to examine if these significant activations were modulated by two contextual factors. Finally, mediation analysis was applied to explore how the contextual factors affect escalation decisions through brain activations. The findings showed that (1) escalation decisions are faster than de-escalation decisions, (2) the corresponding network of brain regions recruited for escalation (anterior cingulate cortex, insula and precuneus) decisions differs from this recruited for de-escalation decisions (inferior and superior frontal gyri), (3) the switch from escalation to de-escalation is primarily frontal gyri dependent, and (4) activation in the anterior cingulate cortex, insula and precuneus were further increased in escalation decisions, when the outcome probabilities of the follow-up investment were positively framed; and activation in the inferior and superior frontal gyri in de-escalation decisions were increased when the outcome probabilities were negatively framed. Conclusions: Escalation and de-escalation decisions recruit different brain regions. Framing of possible outcomes as negative leads to escalation decisions through recruitment of the inferior frontal gyrus. Responsibility for decisions affects escalation decisions through recruitment of the superior (inferior) gyrus, when the decision is framed positively (negatively).
Inferring the votes in a new political landscape. The case of the 2019 Spanish Presidential elections.
Authors: Grimaldi Didier , Diaz Javier , Arboleda Hugo 
Published: May 2020

Abstract
The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic domain and it also serves an appealing research topic. This article aims to predict the results of the 2019 Spanish Presidential election and the voting share of each candidate, using Tweeter. The method combines sentiment analysis and volume information and compares the performance of five Machine Learning algorithms. Several data scrutiny uncertainties arose that hindered the prediction of the outcome. Consequently, the method develops a political lexicon-based framework to measure the sentiments of online users. Indeed, an accurate understanding of the contextual content of the tweets posted was vital in this work. Our results correctly ranked the candidates and determined the winner by means of a better prediction of votes than official research institutes.
Informing urban climate planning with high resolution data: the Hestia fossil fuel CO2 emissions for Baltimore, Maryland
Authors: Roest Geoffrey Scott , Gurney Kevin R , Miller Scot M , Liang Jianming 
Published: May 2020

Abstract
Background Cities contribute more than 70% of global anthropogenic carbon dioxide (CO2 ) emissions and are leading the effort to reduce greenhouse gas (GHG) emissions through sustainable planning and development. However, urban greenhouse gas mitigation often relies on self-reported emissions estimates that may be incomplete and unverifiable via atmospheric monitoring of GHGs. We present the Hestia Scope 1 fossil fuel CO2 (FFCO2 ) emissions for the city of Baltimore, Maryland – a gridded annual and hourly emissions data product for 2010 through 2015 (Hestia-Baltimore v1.6). We also compare the Hestia-Baltimore emissions to overlapping Scope 1 FFCO2 emissions in Baltimore’s self-reported inventory for 2014. Results The Hestia-Baltimore emissions in 2014 totaled 1487.3 kt C (95% confidence interval of 1,158.9 – 1,944.9 kt C), with the largest emissions coming from onroad (34.2% of total city emissions), commercial (19.9%), residential (19.0%), and industrial (11.8%) sectors. Scope 1 electricity production and marine shipping were each generally less than 10% of the city’s total emissions. Baltimore’s self-reported Scope 1 FFCO2 emissions included onroad, natural gas consumption in buildings, and some electricity generating facilities within city limits. The self-reported Scope 1 FFCO2 total of 1,182.6 kt C was similar to the sum of matching emission sectors and fuels in Hestia-Baltimore v1.6. However, 20.5% of Hestia-Baltimore’s emissions were in sectors and fuels that were not included in the self-reported inventory. Petroleum use in buildings were omitted and all Scope 1 emissions from industrial point sources, marine shipping, nonroad vehicles, rail, and aircraft were categorically excluded. Conclusions The omission of petroleum combustion in buildings and categorical exclusions of several sectors resulted in an underestimate of total Scope 1 FFCO2 emissions in Baltimore’s self-reported inventory. Accurate Scope 1 FFCO2 emissions, along with Scope 2 and 3 emissions, are needed to inform effective urban policymaking for system-wide GHG mitigation. We emphasize the need for comprehensive Scope 1 emissions estimates for emissions verification and measuring progress towards Scope 1 GHG mitigation goals using atmospheric monitoring.
Research on English Teaching System Based on Artificial Intelligence and WBIETS Wireless Network System
Authors: Tan Minghua 
Published: May 2020

Abstract
The English teaching network system is a distant teaching based on Web. This teaching method can stimulate students' interests, so that students can acquire knowledge voluntarily, and automatic test paper generation is one of the most important modules in English teaching network system. This paper first describes the automatic test problems, is a constrained multi-objective problem; then the design of genetic algorithm to improve the test paper, put forward questions based encoding method and based on the difficulty and test points of F fitness function for dynamic adjustment of the parameters in the iterative process. Finally, it is verified by experiments that the test paper made by this method satisfies users' requests for questions, contents and scores, and at the same time, it also improves the running efficiency of random optimization algorithm by 7-17 times.
The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: A systematic review and meta-analysis
Authors: Moghadam Sharare Taheri , Velayati Farnia , Sadoughi Farahnaz , Ehsanzadeh Seyedjafar , Poursharif Shayan 
Published: May 2020

Abstract
Background: The clinical decision support systems (CDSSs) for prescription medications is one of the technologies aimed at improving physician practice behavior and patient outcomes by reducing drug prescription errors. This study, thus, was conducted to investigate the effect of various CDSSs on physician practice behavior and patient outcomes.Methods: This systematic review was conducted by searching in PubMed, EMBASE, Web of Science, Scopus and Cochrane Library from 2005 to 2019. Two researchers independently evaluated the studies. Any discrepancies over the eligibility of the studies between the two researchers were then resolved by consulting a third researcher. Finally, we extracted data from the articles. Then, we conducted a meta-analysis based on medication subgroups and outcome categories; we also presented a narrative form of the findings. Meanwhile, we applied random-effects model to estimate the effects of CDSS on patient outcomes and physician practice performance with 95% confidence interval. Q statistics and I2 was then used to measure heterogeneity.Results: Based on the inclusion criteria, 46 studies were considered eligible for the analysis in this review. The CDSS for prescription medications had been used for various diseases such as cardiovascular diseases, hypertension, diabetes, gastrointestinal and respiratory diseases, AIDS, appendicitis, kidney disease, malaria, high blood potassium, and mental disease. Meanwhile, other cases such as the concurrent prescription of multiple drugs for patients and its effects on the above-mentioned outcomes were evaluated. The analysis shows that in some cases the application of CDSS provides positive effects on patient outcomes and physician practice behaviors. The effect was statistically significant (std diff in means =0.114, 95% CI: 0.090 to 0.138) as overall. It was also statistically significant for outcome groups such as those showing improved outcomes on physician practice performance and patient outcome or both. No significant difference was observed in comparison between some other cases and conventional methods. We think that this could be due to the disease type, the quantity, and the type of CDSS requirements that influenced the comparison. Conclusions: Our findings suggest that positive effects of the CDSS are due to factors such as user-friendliness, compliance with clinical guidelines, patient and doctor cooperation, integration of electronic health records, CDSS and pharmaceutical systems, consideration of the views of physicians in assessing the importance of CDSS alerts, and their real-time alerts in the prescription.
Effect of vaccine reminder and tracker bracelets on routine childhood immunization coverage and timeliness in urban Pakistan (2017-18): a randomized controlled trial
Authors: Siddiqi Danya Arif , Ali Rozina Feroz , Munir Mehr , Shah Mubarak Taighoon , Khan Aamir J , Chandir Subhash 
Published: May 2020

Abstract
Background: Inability to track children’s vaccination history coupled with parents’ lack of awareness of vaccination due dates compounds the problem of low immunization coverage and timeliness in developing countries. We evaluated the impact of two types of silicon immunization reminder bracelets for children in improving immunization coverage and timeliness of Pentavalent-3 and the Measles-1 vaccines. Methods: Children <3 months were enrolled in either of the 2 intervention groups (Alma Sana Bracelet Group and Star Bracelet Group) or the Control group. Children in the intervention groups were provided the 2 different bracelets at the time of recruitment. Each time the child visited the immunization center, a hole was perforated in the silicon bracelet to denote vaccine administration. Each child was followed up till administration of Measles-1 vaccine or till 12 months of age (if they did not come to the center for vaccination). Data was analyzed using the intention-to-treat population between groups. The unadjusted and adjusted Risk Ratios (RR) and 95% confidence interval (CI) for Pentavalent-3 and Measles-1 coverage at 12 months of age were estimated through bivariate and multivariate analysis. Time-to-Pentavalent-3 and Measles-1 immunization curves were calculated using the Kaplan–Meier method. Results: A total of 1,445 children were enrolled in the study between July 19, 2017 and October 10, 2017. Baseline characteristics among the three groups were similar. Up-to-date coverage for the Pentavalent-3 /Measles-1 vaccine at 12 months of age was 84.6%/72.0%, 85.4%/70.5% and 83.0%/68.5% in Alma Sana Bracelet group, Star Bracelet group and Control group respectively but the differences were not statistically significant. In the multivariate analysis, neither the Alma Sana bracelet (adjusted RR = 1.01; 95% CI: 0.96-1.06), (adjusted RR: 1.05; 95% CI: 0.97-1.13) nor the Star bracelet (adjusted RR = 1.01; 95% CI: 0.96-1.06) (adjusted RR: 1.03; 95% CI: 0.95-1.11) was significantly associated with Pentavalent-3 vaccination or Measles-1 vaccination. Conclusion: Although we did not observe any significant impact of the bracelets on improved immunization coverage and timeliness, our findings add to the existing literature on innovative, low cost reminders for health and make several suggestions for enhancing practical implementation of these tools.Trial Registration: ClinicalTrials.gov NCT03310762. Retrospectively Registered on October 16, 2017.