bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transitions of disability, disability-free life expectancy and health insurance among adults aged 50 and older in Mexico: a multistate life table analysis
Authors: Cabrero Castro Jose Eduardo , García-Peña Carmen , Ramírez Aldana Ricardo 
Published: August 2021

ObjectivesTo analyse the transitions of disability onset and recovery, estimate life expectancy (LE) with and without disability and explore the relation between insurance and disability patterns in the population aged 50+ in Mexico.DesignMultistate life table analysis of data from a longitudinal cohort survey.SettingData came from the Mexican Health and Aging Study, a longitudinal and representative survey of older adults in Mexico.Participants10 651 individuals aged 50+ interviewed in 2012 and 2015, including those who died between waves.Primary and secondary outcome measuresDisability is measured using the activities of daily living (ADL) scale. Transition rates between disability free, ADL disabled and death were employed to estimate total life expectancy (TLE) and disability-free life expectancy (DFLE).Results46% of the individuals who reported an ADL limitation in 2012 recover from disability by 2015. TLE at age 60 for people without ADL limitations is 30 years (95% CI 28.9 to 31), out of which 4.7 years (95% CI 4.1 to 5.4) are lived with ADL limitations, while TLE at age 60 in the initially disabled is 18.7 years (95% CI 17.3 to 20), with 9.4 years (95% CI 8.4 to 10.3) lived with disability. DFLE at age 60 in people with social security is 24.2 years (95% CI 23.3 to 25.2), in people with public insurance is 24.6 years (95% CI 23.7 to 25.4) and in uninsured people is 26.9 years (95% CI 25.9 to 27.9).ConclusionsIn Mexico, a substantial proportion of ADL disabled individuals recover from disability. Nevertheless, initially disabled individuals have a considerably lower DFLE regardless of age when compared with initially active individuals. There appeared to be no differences in terms of disability and LEs between the individuals with social security and public insurance.
Procalcitonin-guided initiation of antibiotics in AECOPD inpatients: study protocol for a multicenter randomised controlled trial
Authors: Huang Lixue , Wang Jinxiang , Gu Xiaoying , Sheng Weili , Wang Yeming , Cao Bin 
Published: August 2021

IntroductionCurrent antibiotic prescription for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is generally based on the Anthonisen criteria in The Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD) guideline that have a potential risk of antibiotics overuse. The dilemma is to identify patients who are most likely to benefit from antibiotics while avoiding unnecessary antibiotic use. Procalcitonin (PCT), a more sensitive and specific biomarker of bacterial infection than other conventional laboratory tests, has the potential to determine those patients in whom antibiotics would be beneficial. It is unclear whether PCT-guided antibiotic therapy is safe and effective for patients hospitalised with AECOPD. The study hypothesis is that PCT-guided antibiotic therapy could reduce the antibiotic prescription rate for AECOPD, compared with the GOLD guideline recommendations, without negatively impacting the treatment success rate.Methods and analysisIn this multicenter, open-label, randomised controlled trial, we aim to enrol 500 hospitalised patients with AECOPD that will be randomly assigned to either a PCT-guided group or a GOLD guideline-guided group. The coprimary endpoints are antibiotic prescription rate for AECOPD within 30 days post randomisation and treatment success rate at day 30 post randomisation. The secondary outcomes include: antibiotic prescription rate at day 1 post randomisation; hospital antibiotic exposure; length of hospital stay; rate of subsequent exacerbation and hospital readmission; overall mortality within 30 days post randomisation; changes in lung function and the score of COPD assessment test and modified Medical Research Council; and rate of intensive care unit admission.Ethics and disseminationThis trial has been approved by the ethic committee of China–Japan Friendship Hospital. The findings of the study will be disseminated in peer-reviewed journals. If the results of the study are positive, PCT-guided antibiotic therapy is likely to change the guidelines for antibiotic recommendations for patients with AECOPD.Trial registration numberClinicalTrials.gov:NCT04682899.
Diversity, biocontrol, and growth promotion potential of culturable endophytic fungi isolated from root, shoot, and leaf of wild Phoebe bournei Yang across seasons
Authors: Yu Cun , Yao Ying 
Published: August 2021

Endophytic fungi were isolated from Phoebe bournei (Hemsl.) Yang, and their diversity and antimicrobial and plant-growth-promoting activities were investigated. Of the 389 isolated endophytic fungi, 88.90% belonged to phylum Ascomycota and 11.10% to phylum Basidiomycota. The isolates were grouped into four taxonomic classes, 11 orders, 30 genera, and 45 species based on internal transcribed spacer sequencing and morphologic analysis. The host showed a strong affinity for the genera Diaporthe and Phyllosticta. The diversity of the fungi was highest in autumn, followed by spring and summer, and was lowest in winter. The fungi exhibited notable tissue specificity in P. bournei, and the species richness and diversity were highest in the root across all seasons. Five isolates showed antimicrobial activity against eight plant pathogens and reduced the incidence of leaf spot disease in P. bournei. Additionally, nine biocontrol isolates showed plant-growth-promoting activity, with five significantly promoting P. bournei seedling growth. This is the first report on the endophytic fungi of P. bournei and their potential applicability to plant disease control and growth promotion.
Simulating maize yield at county scale in southern Ontario using the decision support system for agrotechnology transfer model
Authors: Liu Shuang , Yang Jingyi , Yang Xueming , Drury Craig F. , Jiang Rong , Daniel Reynolds W. 
Published: August 2021

The objectives of this study were to evaluate the ability of the decision support system for agrotechnology transfer (DSSAT) CERES-Maize model to simulate the response to applied nitrogen and soil water storage for maize (Zea mays L.) yields in Woodslee, Ontario. A second objective was to evaluate the CERES-Maize module for maize yield in five southern Ontario counties. The calibrated CERES-Maize module was used in 117 maize yield simulations involving combinations of 45 regional soil datasets and 35 weather datasets covering the five counties. The model evaluation showed a good agreement between the simulated and measured grain yields (i.e., index of agreement, d ≥ 0.96; modeling efficiency, EF ≥ 0.83; normalized root-mean-square error, nRMSE ≤ 15%). The model showed a large deviation using the default soil parameters from 0 to 0.4 m. A sensitivity analysis was made for three soil water parameters, and the calibrated soil parameters showed moderate to good agreements for total soil water storage in the 0–1.1 m soil profile. The model resulted in moderate to good agreement between the simulated and the measured above-ground biomass across growing seasons. There were significant yield differences across the soil types. Drought periods in August 2010 resulted in lower yields in 2010 compared with 2011 and 2012. The simulated average maize yields at each county matched well with the measured data for 2010–2012 except for lower estimated yields in Lambton county in 2010. We concluded that DSSAT CERES-Maize can adequately simulate regional maize yields using the CERES-Maize module calibrated to regional soil and daily weather databases.
Bentonite effects on soil physical properties and millet yield components in a semi-arid region in China
Authors: Mi Junzhen , Gregorich Edward G. , Xu Shengtao , McLaughlin Neil B. , Liu Jinghui , Zhao Baoping 
Published: August 2021

Soil structure plays a critical role in agroecosystems because it controls soil air and water capacity, nutrient availability, and crop root growth. A field experiment was conducted to evaluate the effect of bentonite on soil relative water content, soil cone penetration resistance, soil bulk density, aggregate size distribution, and millet crop yield components in a semi-arid region in northern China from 2011 to 2015. Treatments consisted of six bentonite rates (0, 6, 12, 18, 24, and 30 Mg·ha−1) applied only in the initial year. Addition of bentonite significantly increased soil relative water throughout the profile (0–60 cm) and aggregates in 0.25–2 mm class in 0–40 cm depth; it significantly decreased soil bulk density, soil cone penetration resistance, and aggregates in 0.053–0.25 mm class in the 0–40 cm depth. All of the bentonite treatments significantly increased 1000-kernel weight and panicle number up to 16% and 33%, respectively, but did not affect kernels per spike. Treatment with 24 Mg·ha−1 bentonite achieved the greatest effect on all the soil physical parameters and crop yield components averaged over all years; the highest application rate (30 Mg·ha−1) had an increasing effect over time. This study indicates that application of bentonite improves soil health in sandy-loam soil in a semi-arid region, and thus it would help promote sustainable agriculture development in regions with similar soil and climate.
On the canonical energy of weak gravitational fields with a cosmological constant $$\varLambda \in \mathbb {R}$$
Authors: Chruściel P. T. , Hoque Sk J. , Maliborski M. , Smołka T. 
Published: August 2021

AbstractWe analyse the canonical energy of vacuum linearised gravitational fields on light cones on a de Sitter, Minkowski, and Anti de Sitter backgrounds in Bondi gauge. We derive the associated asymptotic symmetries. When $$\varLambda >0$$

Λ
>
0

the energy diverges, but a renormalised formula with well defined flux is obtained. We show that the renormalised energy in the asymptotically off-diagonal gauge coincides with the quadratisation of the generalisation of the Trautman–Bondi mass proposed in Chruściel and Ifsits (Phys Rev D 93:124075, arXiv:1603.07018 [gr-qc], 2016).
Detecting long-lived multi-charged particles in neutrino mass models with MoEDAL
Authors: Hirsch Martin , Masełek Rafał , Sakurai Kazuki 
Published: August 2021

AbstractA certain class of neutrino mass models predicts long-lived particles whose electric charge is four or three times larger than that of protons. Such particles, if they are light enough, may be produced at the LHC and detected. We investigate the possibility of observing those long-lived multi-charged particles with the MoEDAL detector, which is sensitive to long-lived particles with low velocities ($$\beta $$
β
) and a large electric charge (Z) with $$\Theta \equiv \beta /Z \lesssim 0.15$$

Θ
≡
β
/
Z
≲
0.15

. We demonstrate that multi-charged scalar particles with a large Z give three-fold advantage for MoEDAL; reduction of $$\Theta $$
Θ
due to strong interactions with the detector, and enhancement of the photon-fusion process, which not only increases the production cross-section but also lowers the average production velocity, reducing $$\Theta $$
Θ
further. To demonstrate the performance of MoEDAL on multi-charged long-lived particles, two concrete neutrino mass models are studied. In the first model, the new physics sector is non-coloured and contains long-lived particles with electric charges 2, 3 and 4. A model-independent study finds MoEDAL can expect more than 1 signal event at the HL-LHC ($$L = 300$$

L
=
300

$$\hbox {fb}^{-1}$$

fb

-
1

) if these particles are lighter than 600, 1100 and 1430 GeV, respectively. These compare with the current ATLAS limits 650, 780 and 920 GeV for $$L = 36$$

L
=
36

$$\hbox {fb}^{-1}$$

fb

-
1

. The second model has a coloured new physics sector, which possesses long-lived particles with electric charges 4/3, 7/3 and 10/3. The corresponding MoEDAL’s mass reaches at the HL-LHC are 1400, 1650 and 1800 GeV, respectively, which compare with the current CMS limits 1450, 1480 and 1510 GeV for $$L = 36$$

L
=
36

$$\hbox {fb}^{-1}$$

fb

-
1

. In a model-specific study we explore the parameter space of neutrino mass generation models and identify the regions that can be probed with MoEDAL at the end of Run-3 and the High-Luminosity LHC.
Detection of accumulated continuously ethanol concentration by ZnO–SnO2 composite nanorods sensor
Authors: Li Xiang-Bing , Mo Da-Qian , Niu Xiao-Yan , Zhang Qian-Qian , Ma Shu-Yi , Dang Wen-Qiang , Zhang Li-Jun , Zhao Yu-Xiang , Liu Xiao-Bin , Liu Qing , Zhao Li-Min , Wang Yu-Ping 
Published: August 2021

ZnO–SnO2 composite nanorods with rough surfaces were synthesized via a coaxially nested needle electrospinning method. The morphology and nanostructure were characterized by scanning electron microscopy, atomic force microscope, EDS mapping, nitrogen physical adsorption, and X-ray diffraction. The synthesis mechanisms of ZnO–SnO2 nanorods were discussed, which combined the gas sensitivity advantages of different materials. ZnO–SnO2 nanorods sensor with good ethanol gas sensitivity achieved accurate measurement of continuous ethanol concentration. The sensor exhibited good selectivity to ethanol in the presence of formaldehyde, methanol, acetone, acetic acid, benzene, and xylene at 290[Formula: see text]C. The response and recovery time to 100 ppm ethanol were about 13 and 35 s, respectively. The energy band, barrier, charge transfer of ZnO–SnO2 composite material was discussed, and its optimization of gas sensitivity was analyzed in detail.
Effect of Acute Aerobic Exercise on Inhibitory Control of College Students with Smartphone Addiction
Authors: Fan Hainan , Qi Shuai , Huang Guoyuang , Xu Zhao 
Published: August 2021

Background. Inhibitory control deficits may be one important cause for smartphone addiction. The available studies have shown that acute aerobic exercise may improve the inhibitory control. However, there is still lack of research on how regimens of an acute exercise affect this inhibitory control. The present study was to examine the effects of an acute aerobic exercise at three different exercise intensities on changes in the inhibitory control function including response inhibition and interference control in college students with smartphone addiction. Methods. Participants (n = 30; age 20.03 ± 0.96 years) with smartphone addiction were identified by the Mobile Phone Addiction Tendency Scale for College Students and randomized to study 1 and study 2 with 15 individuals each. Fifteen participants in study 1 were tested by the Go/NoGo task to explore the response inhibition, while other fifteen in study 2 were tested by the Flanker task to examine the interference control. The participants in study 1 and 2 were randomly assigned to three groups (5 in each) with exercising at low, moderate, and high intensity. The individual response inhibition and interference control were measured before and after 30 minutes acute aerobic exercise, respectively. Results. In study 1, the accuracy of NoGo stimulus after 30 minutes of acute aerobic exercise was significantly increased

p
≤
0.001

while the response time (RT) of Go stimulus was significantly decreased

p
≤
0.001

. The largest changes occurred in the moderate-intensity group for the accuracy of NoGo stimulus

p
=
0.012

and for the RT of Go stimulus

p
≤
0.001

. The results in study 2 showed no significant change in all three groups after exercise. Conclusions. 30 minutes of acute aerobic exercise could effectively elicit changes of the response inhibition in college students with smartphone addiction. The largest improvement was observed in the moderate intensity of an acute aerobic exercise in college students with smartphone addiction.
Inhibition of NF-κB/IL-33/ST2 Axis Ameliorates Acute Bronchiolitis Induced by Respiratory Syncytial Virus
Authors: Zhang Liwen , Wan Yu , Ma Liang , Xu Kaihong , Cheng Baojin 
Published: August 2021

Background/Aim. Bronchiolitis is a common acute lower respiratory tract infectious disease in infants. Respiratory syncytial virus (RSV) infection is one of the main causes. Bronchiolitis can lead to a significant increase in the incidence of asthma in young children, but the mechanism of bronchiolitis transforming into asthma is still unclear. The study was aimed at investigating the role of NF-κB/IL-33/ST2 axis on RSV-induced acute bronchiolitis. Methods. A total of 40 infants diagnosed with acute bronchiolitis infected by RSV, and 20 normal infants were included in this study. BALB/c mice (6-8 weeks old,

20
±
1.1

g) were used as study models. Enzyme-linked immunosorbent assay (ELISA), quantitative real time PCR, western blot analysis, immunohistochemical staining, and flow cytometry analysis were performed to examine relevant indicators. Results. IL-33 level was significantly elevated, and Th1/Th2 ratio is imbalance after in infants with acute bronchiolitis. In vivo study, we found that NF-κB/IL-33/ST2 axis is mediated the Th2 cytokine levels and BAL cell number induced by RSV. Acute bronchiolitis induced by RSV in a mouse model is attenuated after inhibition of NF-κB/IL-33/ST2 pathway. Moreover, we also confirmed that macrophages are important sources of IL-33 and are regulated by NF-κB pathway in RSV-induced mice. Conclusion. We confirmed that inhibition of NF-κB/IL-33/ST2 axis could attenuate acute bronchiolitis by RSV infected. Our findings not only demonstrate the potential role of IL-33 antibody in attenuating RSV-induced lung damage but also provide a new insight into better prevention of RSV-induced asthma by mediating NF-κB/IL-33/ST2 axis.
miR-766-5p Targets Super-Enhancers by Downregulating CBP and BRD4
Authors: Gen Yasuyuki , Muramatsu Tomoki , Inoue Jun , Inazawa Johji 
Published: August 2021

Abstract

Super-enhancers (SE) are clusters of transcription enhancers that drive gene expression. SEs are typically characterized by high levels of acetylation of histone H3 lysine 27 (H3K27ac), which is catalyzed by the histone lysine acetyltransferase CREB binding protein (CBP). Cancer cells frequently acquire tumor-specific SEs at key oncogenes, such as MYC, which induce several hallmarks of cancer. BRD4 is recruited to SEs and consequently functions as an epigenetic reader to promote transcription of SE-marked genes in cancer cells. miRNAs can be potent candidates for nucleic acid therapeutics for cancer. We previously identified miR-766-5p as a miRNA that downregulated MYC expression and inhibited cancer cell growth in vitro. In this study, we show that miR-766-5p directly targets CBP and BRD4. Concurrent suppression of CBP and BRD4 cooperatively downregulated MYC expression in cancer cells but not in normal cells. Chromatin immunoprecipitation analysis revealed that miR-766-5p reduced levels of H3K27ac at MYC SEs via CBP suppression. Moreover, miR-766-5p suppressed expression of a BRD4-NUT fusion protein that drives NUT midline carcinoma. In vivo administration of miR-766-5p suppressed tumor growth in two xenograft models. Collectively, these data suggest that targeting SEs using miR-766-5p–based therapeutics may serve as an effective strategy for the treatment of MYC-driven cancers.

Significance:
This study demonstrates that miR-766-5p targets CBP and BRD4, which can mitigate the protumorigenic consequences of SEs and oncogenic fusion proteins.
Roxadustat Does Not Affect Platelet Production, Activation, and Thrombosis Formation
Authors: Zhao Jiaxin , Xu Yanyan , Xie Jingyuan , Liu Junling , Zhang Ruiyan , Yan Xiaoxiang 
Published: August 2021

Objective:
Roxadustat is a new medication for the treatment of renal anemia. EPO (erythropoietin)—the current treatment standard—has been reported to enhance platelet activation and production. However, to date, the effect of roxadustat on platelets is unclear. To address this deficiency, herein, we have evaluated the effect of roxadustat on platelet production and function.

Approach and Results:
We performed several mouse platelet functional assays in the presence/absence of in vitro and in vivo roxadustat treatment. Both healthy and 5/6 nephrectomized mice were utilized. The effect of roxadustat on platelet function of healthy volunteers and chronic kidney disease patients was also evaluated. For platelet production, megakaryocyte maturation and proplatelet formation were assayed in vitro. Peripheral platelet and bone marrow megakaryocyte counts were also determined. We found that roxadustat could not stimulate washed platelets directly, and platelet aggregation, spreading, clot retraction, and P-selectin/JON/A exposure were similar with or without in vitro or in vivo roxadustat treatment among both healthy and 5/6 nephrectomized mice. In vivo mouse thrombosis models were additionally performed, and no differences were detected between the vehicle and roxadustat treatment groups. EPO, which was considered a positive control in the present study, promoted platelet function and production as reported previously. Megakaryocyte maturation and proplatelet formation were also not significantly different between control mice and those treated with roxadustat. After receiving roxadustat for 14 days, no difference in the peripheral platelet count was observed in the mice.

Conclusions:
Administration of roxadustat has no significant impact on platelet production and function.
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization
Authors: Kouris Panagiotis , Alexandridis Georgios , Stafylopatis Andreas 
Published: August 2021

Abstract
Nowadays, most research conducted in the field of abstractive text summarization focuses on neural-based models alone, without considering their combination with knowledge-based approaches that could further enhance their efficiency. In this direction, this work presents a novel framework that combines sequence-to-sequence neural-based text summarization along with structure and semantic-based methodologies. The proposed framework is capable of dealing with the problem of out-of-vocabulary or rare words, improving the performance of the deep learning models. The overall methodology is based on a well-defined theoretical model of knowledge-based content generalization and deep learning predictions for generating abstractive summaries. The framework is composed of three key elements: (i) a pre-processing task, (ii) a machine learning methodology, and (iii) a post-processing task. The pre-processing task is a knowledge-based approach, based on ontological knowledge resources, word sense disambiguation, and named entity recognition, along with content generalization, that transforms ordinary text into a generalized form. A deep learning model of attentive encoder-decoder architecture, which is expanded to enable a coping and coverage mechanism, as well as reinforcement learning and transformer-based architectures, is trained on a generalized version of text-summary pairs, learning to predict summaries in a generalized form. The post-processing task utilizes knowledge resources, word embeddings, word sense disambiguation, and heuristic algorithms based on text similarity methods in order to transform the generalized version of a predicted summary to a final, human-readable form. An extensive experimental procedure on three popular data sets evaluates key aspects of the proposed framework, while the obtained results exhibit promising performance, validating the robustness of the proposed approach.