bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Network Relative Model Accuracy (Nerma) Score Can Quantify the Relative Accuracy of Prediction Models in Concurrent External Validations
Authors: Walraven Carl , Tuna Meltem 
Published: April 2022

Abstract
Background: Network meta-analysis (NMA) quantifies the relative efficacy of 3 or more interventions from trials evaluating some, but usually not all, treatments. This study applied the analytical approach of NMA to quantify the relative accuracy of prediction models with distinct applicability that are evaluated on the same population (‘concurrent external validation’). Methods: We simulated binary events in 5000 patients using a known risk function. We biased the risk function and modified its precision by pre-specified amounts to create 15 prediction models with varying accuracy and distinct patient applicability. Prediction model accuracy was measured using the Scaled Brier Score (SBS). Overall prediction model accuracy was measured using fixed-effects methods accounting for model applicability patterns. Prediction model accuracy was summarized as the Network Relative Model Accuracy (NeRMA) Score which increases as models become more accurate and ranges from <0 (model less accurate than random guessing) through 0 (accuracy of random guessing) to 1 (most accurate model in concurrent external validation).Results: The unbiased prediction model had the highest SBS. The NeRMA score correctly ranked all simulated prediction models by the extent of bias from the known risk function. A SAS macro and R-function was created and available to implement the NeRMA Score. Conclusions: The NeRMA Score makes it possible to quantify the relative accuracy of binomial prediction models with distinct applicability in a concurrent external validation.
Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili goose ovary at different egg-laying stages
Authors: Zhao Xiaoyu , Wu Yingping , Li Haiying , Li Jiahui , Yao Yingying , Cao Yan , Mei Zhiyong 
Published: April 2022

Abstract
Background: The expression of ovarian tissue at the transcriptional level of goose at different egg laying stages could provide an important basis for screening and identifying key genes regulating ovarian development.Results: In this study, 4 ovary tissues at each breeding period of prelaying period (KL), laying period (CL), and ceased period (XL), respectively, with significant morphology difference, were used for RNA extraction and mRNAs, lncRNAs, and miRNAs comparison in Yili geese. CeRNA regulatory network was constructed for key genes screening. A total of 337, 1136, and 525 differentially expressed DE mRNAs, 466, 925, and 742 DE lncRNAs and 258, 1131 and 909 DE miRNAs were identified between KL and CL, between XL and CL, and between XL and KL groups, respectively. Functional enrichment analysis showed that the differentially expressed mRNAs and non-coding RNA target genes were mainly involved in the cell process, cytokine-cytokine receptor interaction, phagosome, calcium signaling pathway, steroid biosynthesis and ECM-receptor interaction. Differential genes and non-coding RNAs, PDGFRB, ERBB4, LHCGR, MSTRG.129094.34, MSTRG.3524.1 and gga-miR-145-5p, related to reproduction and ovarian development were highly enriched. Furthermore, lncRNA-miRNA-mRNA regulatory networks related to ovary development were constructed.Conclusions: Our study found dramatic transcriptomic differences in ovaries of Yili geese at different egg-laying stages, and a differential lncRNA-miRNA-mRNA regulatory network related to cell proliferation, differentiation and apoptosis and involved in stromal follicle development were established and preliminarily validated, which could be regarded as a key regulatory pathway of ovarian development in Yili goose.
Validation of the French version of COHIP-SF-19 among 12-years children in New Caledonia
Authors: Skandrani Amal , Osta Nada El , Pichot Hélène , Eschevins Caroline , Pereira Bruno , Tubert-Jeannin. Stéphanie 
Published: April 2022

Abstract
BackgroundAssessment of Oral Health Quality of Life (OHRQoL) is now associated to clinical indicators in epidemiological studies. This study aimed to validate the French Short Form of the Child Oral Health Impact Profile (COHIP-SF-19) and to assess the impacts of oral diseases among schoolchildren in New Caledonia (NC).MethodsA sample of 12-years-old children was selected in 2019 in NC. Dental status was recorded at school by calibrated examiners and children filled the French COHIP-SF-19 questionnaire. Information on sociodemographic characteristics, oral hygiene habits, perception of oral health problems were also collected through self-administered questionnaires or from the schools’ database. ResultsOral diseases were frequent in the study population (n= 693) with high social health inequalities. The COHIP scores ranged from 7 to 76 (57.9±9.96) with 96.4 % of the children having experienced oral health problems, 81.7 % functional impacts and 90.5 % socio-emotional impacts. Overall, the French COHIP-SF-19 showed satisfactory psychometric characteristics. Internal consistency was high (Cronbach’s alpha = 0.80) and reproducibility excellent (ICC=0.9). Discriminant and concurrent validity were adequate. Indeed, children with less optimal social situation, impaired dental status, declaring severe dental problems or difficulties in accessing oral health care showed lower COHIP-SF-19 scores. Factor analyses suggested a four-component structure with identification of a new domain (self -image) and changes in the repartition of the items within the original domains. Sensitivity analyses showed similar results for children with partial or complete answers in the COHIP questionnaire. ConclusionsThe French COHIP-SF-19 showed satisfactory psychometric characteristics and allowed to identify the high impacts of oral diseases in New Caledonian children, namely for socially deprived children.
A key to the treasure chest of time-domain astronomy
Authors: Yan Shuping , Ji Li , Liu Siming , Zhang Ping , Long Min , Lu Lei 
Published: April 2022

Abstract
Time-domain astronomy has emerged as one of the most promising fields in astronomy. Time-frequency analysis methods like Fourier and wavelet transforms are widely used in astronomy but have profound limitations in analysing nonlinear or non-stationary data, which are dominant in natural systems. Hilbert--Huang transform (HHT) has been proven to be an adaptive method without such limitations, but has not been fully applied in astronomy. The major hurdle might be from that HHT is an empirical approach requiring tuneable parameters to be optimised using experimental results or known facts, which are practically more challenging to obtain in astronomy than in other fields. In this work, we propose a parameter-optimised HHT method that can solve this problem by adjusting the orthogonal indices among decomposed components, and successfully apply it to quasi-periodic phenomena from microquasar and solar flare. The HHT results not only match the results from Fourier and wavelet analyses but also provide critical new information with unprecedented frequency and temporal resolutions by HHT's virtues of superior adaptivity and sensitivity to signals. We demonstrate for the first time that some X-ray quasi-periodic oscillations detected using Fourier method are spurious ones, and the X-ray variability can be decomposed into model-independent components. We also obtain the finest evolution of solar quasi-periodic pulsation. These results provide new probes to study the physical processes of accretion flows and solar eruptive events. More importantly, our method is a powerful tool for unveiling the mysteries of the fascinating transient and time-variable phenomena throughout the universe. It is also a leap in application method of HHT and will be beneficial to many other fields.
Atomic-Scale Observation of Room and Low-Temperature Ultrasonic Properties of Advanced Materials ‘Tellurite Glasses’
Authors: El-Mallawany R. , Moniem Amin Abdel , Gafaar M S. 
Published: April 2022

Abstract
Theoretical analysis of room temperature bulk modulus and low-temperature ultrasonic attenuation coefficient in the glass system (1-x)TeO2-xV2O5, x = 20, 25, 30, 35, 40, 45 mole% was achieved. The bond compression (BC) and Makashima-Makenzie (M.M) models were used to interpret room-temperature bulk modulus K. The main parameters used were: average cross-link density, the number of network bonds per unit volume, and average atomic ring size (λ). Analyses of low-temperature (300 − 150 k) ultrasonic attenuation α at 2, 4, 5, 6 MHz were achieved by calculating: potential energy, centers of energy loss, elongation, and contraction of the two-well potential. Also, the deformation potential is found to be sensitive to the variations of the modifier content. The analysis revealed a sensitive effect of variation of modifier contents for elongation or contraction of the dual-well potential. The number of centers of energy loss is related to the elastic moduli as a function of the modifier content. Correlation between room temperature bulk modulus K and ultrasonic attenuation α has been achieved by achieving the relations, α= Χ1/F (F / K)m/4 α=Χ2 [O]/F λm, and α= Χ1/ F (F / 10GtVt2)m/4.
Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia
Authors: Durrani Nabeel , Vukovic Damjan , Burgt Jeroen van der , Antico Maria , Sloun Ruud JG van , Canty David , Steffens Marian , Wang Andrew , Royse Alistair , Royse Colin , Haji Kavi , Dowling Jason , Chetty Girija , Fontanarosa Davide 
Published: April 2022

Abstract
Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosisof late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common challenge in training such models is that annotating each frame of an ultrasound video requires high labelling effort. This effort in practice becomes prohibitive for large ultrasound datasets. To understand the impact of various degrees of labelling precision, we compare labelling strategies to train fully supervised models (frame-based method, higher labelling effort) and inaccurately supervised models (video-based methods, lower labelling effort), both of which yield binary predictions for LUS videos ona frame-by-frame level. We moreover introduce a novel sampled quaternary method which randomly samples only 10% of the LUS video frames and subsequently assigns (ordinal) categorical labels to all frames in the video based on the fraction of positively annotated samples. This method outperformed the inaccurately supervised video-based method of our previous work on pleural effusions. More surprisingly, this method outperformed the supervised frame-based approach with respect to metrics such as precision-recall area under curve (PR-AUC) and F1 score that are suitable for the class imbalance scenario of our dataset despite being a form of inaccurate learning. This may be due to the combination of a significantly smaller data set size compared to ourprevious work and the higher complexity of consolidation/collapse compared to pleural effusion, two factors which contribute to label noise and overfitting; specifically, we argue that our video-based method is more robust with respect to label noise and mitigates overfitting in a manner similar to label smoothing. Using clinical expert feedback, separate criteria were developed to exclude data from the training and test sets respectively for our ten-fold cross validation results, which resulted in a PR-AUC score of 73% and an accuracy of 89%. While the efficacy of our classifier using the sampled quaternary method must be verified on a larger consolidation/collapse dataset, when considering the complexity of the pathology, our proposed classifier using the sampled quaternary video-based method is clinically comparable with trained expertsand improves over the video-based method of our previous work on pleural effusions.
Satellites in Emergency Management: A Bibliometric Analysis
Authors: Li Dengyuhui , Jiao Jianbin , Wang Shouyang , Zhou Guanghui 
Published: April 2022

Abstract
Spatial data have proven to be crucial for supporting decision-making in emergency management. In this study, we conduct a bibliometric analysis of 2,833 papers about the application of satellites in emergency management from Web of Science Core Collection between 1991 and 2021. In the descriptive statistics analysis, overall growth trend and geographical distribution are provided, and top-10 influential journals, institutions, and highly cited articles are identified. Co-citation network of authors, keywords and articles are presented based on a data-driven bibliometric analysis, as well as a burst analysis, and the trends and hotspots in different 5-year periods are captured. According to the papers in 13 highlighted research clusters, popular problems and methods in this field are analyzed. Owing to the research topic belongs to an interdisciplinary subject, the clustering results contain a degree of dispersion. Satellites support different phases of emergency management, and future directions are concluded from the perspectives of disaster monitor, vulnerability and risk assessment, damage evaluation, emergency rescue and scheduling. The bibliometric analysis can provide meaningful insights of influential studies, emerging trends, and new developments of satellites applications in emergency management.
Effect of Acute PM2.5 Exposure on Lung Function in Children: A Systematic Review and Meta-Analysis
Authors: Yueming zhang , Guo Ziyao , Li Qinyuan , Zhao Yan , Wang Zhili , Luo Zhengxiu 
Published: April 2022

Abstract
Background: Long-term exposures to particulate matter 2.5 (PM2.5) impairing lung function in children, but the effect of acute exposure has not been clarified. The objective of this study was to conduct a systematic review and meta-analysis to identify the adverse effect of acute PM2.5 exposure on lung function in children. Methods: Studies analyzing PM2.5 level and lung function in children were eligible. Effect estimates were quantified for peak expiratory flow (PEF) by using random effects models, for forced vital capacity (FVC)and forced expiratory volume in 1 s(FEV1) by using fixed effects models. Heterogeneity was investigated with Q-test and I2 statistics. Subgroup analyses were conducted to determine the effects of acute PM2.5 exposure on children of different asthmatic status and different countries.Results: A total of 11 studies with 4314 participants from Brazil, China and Japan were included finally. A 10 μg/m3 increase of PM2.5 was associated with a 1.74L/min (95% CI: -2.68, -0.90) decrease in PEF. Children with severe asthma were more susceptible to PM2.5 exposure (-3.11 L/min per 10 μg/m3 increase, 95 % CI -4.54, -1.67) than healthy children (-1.61 L/min per 10 μg/m3 increase, 95 % CI -2.34, -0.91). The change of PEF in children of Brazil was -0.38 L/min(95 % CI -0.91, 0.15) per 10 μg/m3 increase of PM2.5, which was slighter than that in China (-1.54 L/min, 95 % CI -2.33，-0.75) and Japan (-1.72 L/min, 95 % CI -3.82 , 0.36). Elevated PM2.5 exposure was also associated slight alteration of FVC and FEV1, with no significant difference presented. Conclusions: Our results demonstrated that the acute PM2.5 exposure has an adverse impact on children’s lung function, and children with severe asthma were more susceptible when PM2.5 concentration increases. The impact of PM2.5 varies among the three countries. More measures should be taken to protect lung function of children from PM2.5 exposure.
Photoreduction of copper ions using silica–surfactant hybrid and titanium (IV) oxide under sulfuric acid conditions
Authors: Machida Shingo , Kato Reo , Hasegawa Kaishi , Gotoh Takahiro , Katsumata Ken-ichi , Yasumori Atsuo 
Published: April 2022

Abstract
Photoreduction of Cu2+ ions to Cu metal by titanium (IV) oxide (TiO2) was conducted in the presence of silica-surfactant hybrid under a sulfuric acid condition. After irradiation, the dark-red color, reflections due to Cu metal in the X-ray diffraction pattern, and peaks due to Cu 2p1/2 and 2p3/2 in the X-ray photoelectron spectrum revealed the precipitation of Cu metal in the product. In addition, an increase in the BET surface area of 591 m2/g for the product from those of 36 and 45 m2/g for the silica-surfactant and TiO2 as well as a decrease in the intensities of C-H stretching band in the Fourier-transform infra-red spectra implied the removal of surfactants during the reaction. These characteristics were never obtained using TiO2 solely. Therefore, this study indicated that photoreduction of Cu2+ ions to Cu metal by TiO2 was facilitated under sulfuric acid conditions, where the surfactants extracted from silica–surfactant hybrids by protons in the acidic condition were successfully photo-oxidized by TiO2. Thus, this study presented a new usage of the conversion of silica-surfactant hybrid into mesoporous silicas.
On the continuing and structural evolution of porcine epidemic diarrhea virus
Authors: Xiao Yan , Zhao Wenying , Xie Limin , Gu Guoqian , Yan Yiwen , Zhang Yunjing , Zhao Qin , Huang Baicheng , Tian Kegong 
Published: April 2022

Abstract
The coronavirus porcine epidemic diarrhea virus (PEDV) is still widespread in pigs rapidly due to its highly contagious, resulting in huge economic losses to the pig industry. Herein, we investigated the molecular divergence between PEDV and other related coronaviruses, the results showed that the spike (S) gene exhibited larger dS (synonymous substitutions per synonymous site) values than other genes. In the assay of the extent of positive selection, eight amino acid (aa) sites of S protein showed strong signals of positive selection, and seven aa sites of them were located in the surface of S protein (S1 domain), suggesting the high selection pressure of S protein during receptor binding. We analyzed the complete genomes of 647 strains retrieved from the GenBank database. Topologically, the high similarity between the complete genome and S gene indicated that the S gene is more representative of the evolutionary relationship at the genome-wide level than other genes. Structurally, the dominant of the highly mutated residues of S protein indicated that the evolutionary pattern is highly S1 domain related. We constructed the haplotype networks using the PEDV S gene, the results showed that the strains are obviously clustered geographically in the lineages corresponding to genotype GI and GII. The alignment analysis on representative strains in the main haplotypes revealed 3 distinguishable nucleic acid sites among those strains, suggesting a putative evolutionary mechanism of PEDV. These findings provide several new fundamental insights into the evolution of PEDV and the guidance for developing effective prevention countermeasures against PEDV.
Electro-catalytic performance of nickel hydroxide decorated microporous nanozeolite Beta modified carbon paste electrode for formaldehyde oxidation
Authors: Eshagh-Nimvari Samira , Hassaninejad-Darzi Seyed Karim 
Published: April 2022

Abstract
In this paper, aluminosilicate nanozeolite beta has been prepared and completely described using X-ray diffraction (XRD), nitrogen sorption isotherm, Fourier transform infrared (FT-IR), transmission electron micrograph (TEM) and field emission scanning electronic microscopy (FESEM) techniques. TEM image of synthesized nanozeolite demonstrates semispherical particles with a uniform morphology and dimensions under 50 nm. The BET surface area, total pore volume and pore diameter of it were attained to be 321 m2 g− 1, 0.053 cm3 g− 1 and 1.22 nm, respectively. The modified carbon paste electrode by aluminosilicate nanozeolite beta and nickel hydroxide (Ni(OH)2-Beta/CPE) was applied for formaldehyde (HCHO) electro-catalytic oxidation in the alkaline media. The obtained results specify that Ni(OH)2-Beta/CPE demonstrates worthy electro-catalytic activity for oxidation of HCHO due to mesoporous construction and the great surface area of nanozeolite beta. The electron-transfer coefficient, catalytic rate constant and diffusion coefficient are found to be 0.69, 2.08×106 cm3 mol− 1 s− 1 and 4.4×10− 7 cm2 s− 1, respectively. The Ni(OH)2-Beta/CPE exhibited good reproducibility and stability and it has low price, low background current, simplicity of surface renewal. This modified electrode has better poisoning tolerance capability than bare CPE for HCHO electro-catalytic oxidation and is a higher device for the long term accomplishment.
Simvastatin, but not Atorvastatin, is associated with higher peak Rivaroxaban serum levels and bleeding
Authors: Soh Xin Qin , Tan Doreen Su-Yin , Chan Eric Chun Yong 
Published: April 2022

Abstract
Aims In a previous study, Singaporean Asians were found to have lower rivaroxaban plasma concentrations than Caucasians. This expanded study attempts to identify predictors associated with bleeding and stroke and systemic embolism (SSE) in Singaporean Asians taking rivaroxaban and apixaban. Methods A total of 134 Singaporean patients on either rivaroxaban or apixaban for non-valvular atrial fibrillation were included for this study. Baseline characteristics were recorded at recruitment while bleeding and SSE events were recorded during a 1-year follow-up. Characteristics of patients with or without bleeds were compared using relevant statistical tests. Multivariable regression that included covariates with p < 0.1 from an initial univariable regression was performed to analyze predictors that resulted in higher risk of bleeding in patients.Results Median creatinine clearance (CrCl) was significantly lower in patients on rivaroxaban who experienced bleeds as compared to patients who did not experience bleeds (61.5 vs 70.8 mL/min, p = 0.047), while concomitant simvastatin use was found to be independently associated with a six-fold increased risk of bleeding [Adjusted OR = 6.14 (95% CI: 1.18 – 31.97), p = 0.031] for rivaroxaban after controlling for body mass index, CrCl and having experienced a previous SSE.Conclusion Our findings suggest that concomitant use of simvastatin with rivaroxaban may be associated with bleeding events in an Asian cohort. Further studies using physiologically-based pharmacokinetic modeling are required to investigate the drug-drug interactions between these drugs.