bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consultations for clinical features of possible cancer and associated urgent referrals before and during the COVID-19 pandemic: an observational cohort study from English primary care
Authors: Nicholson Brian D. , Ordóñez-Mena José M. , Lay-Flurrie Sarah , Sheppard James P. , Liyanage Harshana , McGagh Dylan , Sherlock Julian , Williams John , Smith Margaret , Drakesmith Cynthia Wright , Thomas Nicholas P. B. , Morris Eva J. A. , Perera Rafael , de Lusignan Simon , Hobbs F. D. Richard , Bankhead Clare R. 
Published: December 2021

AbstractBackgroundIt remains unclear to what extent reductions in urgent referrals for suspected cancer during the COVID-19 pandemic were the result of fewer patients attending primary care compared to GPs referring fewer patients.MethodsCohort study including electronic health records data from 8,192,069 patients from 663 English practices. Weekly consultation rates, cumulative consultations and referrals were calculated for 28 clinical features from the NICE suspected cancer guidelines. Clinical feature consultation rate ratios (CRR) and urgent referral rate ratios (RRR) compared time periods in 2020 with 2019.FindingsConsultations for cancer clinical features decreased by 24.19% (95% CI: 24.04–24.34%) between 2019 and 2020, particularly in the 6–12 weeks following the first national lockdown. Urgent referrals for clinical features decreased by 10.47% (95% CI: 9.82–11.12%) between 2019 and 2020. Overall, once patients consulted with primary care, GPs urgently referred a similar or greater proportion of patients compared to previous years.ConclusionDue to the significant fall in patients consulting with clinical features of cancer there was a lower than expected number of urgent referrals in 2020. Sustained efforts should be made throughout the pandemic to encourage the public to consult their GP with cancer clinical features.
Long noncoding RNA Meg3 sponges miR-708 to inhibit intestinal tumorigenesis via SOCS3-repressed cancer stem cells growth
Authors: Zhang Shuo , Ji Wei-Wei , Wei Wei , Zhan Li-Xing , Huang Xuan 
Published: December 2021

AbstractBackgroundColorectal cancer (CRC) remains the most common gastrointestinal cancer and a leading cause of cancer deaths worldwide, with most showing pathologies indicating the malignant transformation of early stage intestinal stem cells. The long non-coding RNAMeg3, which functions as a tumor suppressor, has been reported to be abnormal in multiple tumorigenesis events; however, the underlying mechanism by whichMeg3contributes to the malignant proliferation of colonic stem cells remains unclear.MethodsWe analyzed the expression levels ofMeg3,miR-708, and SOCS3 in samples fromApcloss-of-function (Apcmin) mice and patients with CRC, particularly in colonic crypt cells.Apcminmice and AMO/DSS-induced mice model (in vivo) and organoid culture system (in vitro) were used to explore the effect of theMeg3/miR-708/SOCS3 axis on tumorigenesis in the colon. In vitro, we performed RNApull-down, RNA immunoprecipitation, and luciferase reporter assays using DLD1 and RKO cell lines.FindingsTheMeg3/miR-708/SOCS3 signaling axis plays a critical role in the early stage of CRC development. Our data showedMeg3levels negatively correlate withmiR-708levels both in clinical samples and in theApcminmouse model, which indicated thatMeg3acts as a competitive endogenous RNA (ceRNA) ofmiR-708. Then,miR-708served as an oncogene, inducing neoplasia in bothApcminmice and cultured colonic organoids. Put together,miR-708appears to promote malignant proliferation of colonic stem cells by targeting SOCS3/STAT3 signaling.InterpretationThese data revealed thatMeg3spongesmiR-708to inhibit CRC development via SOCS3-mediated repression of the malignant proliferation of colonic stem cells. TheMeg3/miR-708/SOCS3 signaling axis provides potential targets for the diagnosis and treatment of CRC, particularly early stage CRC.
Deciphering the tRNA-derived small RNAs: origin, development, and future
Authors: Liu Bowen , Cao Jinling , Wang Xiangyun , Guo Chunlei , Liu Yunxia , Wang Tianjiao 
Published: December 2021

AbstractTransfer RNA (tRNA)-derived small RNAs (tsRNAs), a novel category of small noncoding RNAs, are enzymatically cleaved from tRNAs. Previous reports have shed some light on the roles of tsRNAs in the development of human diseases. However, our knowledge about tsRNAs is still relatively lacking. In this paper, we review the biogenesis, classification, subcellular localization as well as action mechanism of tsRNAs, and discuss the association between chemical modifications of tRNAs and the production and functions of tsRNAs. Furthermore, using immunity, metabolism, and malignancy as examples, we summarize the molecular mechanisms of tsRNAs in diseases and evaluate the potential of tsRNAs as new biomarkers and therapeutic targets. At the same time, we compile and introduce several resource databases that are currently publicly available for analyzing tsRNAs. Finally, we discuss the challenges associated with research in this field and future directions.
Effects of episodic slow slip on seismicity and stress near a subduction-zone megathrust
Authors: Kita Saeko , Houston Heidi , Yabe Suguru , Tanaka Sachiko , Asano Youichi , Shibutani Takuo , Suda Naoki 
Published: December 2021

AbstractSlow slip phenomena deep in subduction zones reveal cyclic processes downdip of locked megathrusts. Here we analyze seismicity within a subducting oceanic slab, spanning ~50 major deep slow slip with tremor episodes over 17 years. Changes in rate, b-values, and stress orientations of in-slab seismicity are temporally associated with the episodes. Furthermore, although stress orientations in the slab below these slow slips may rotate slightly, in-slab orientations 20–50 km updip from there rotate farther, suggesting that previously-unrecognized transient slow slip occurs on the plate interface updip. We infer that fluid pressure propagates from slab to interface, promoting episodes of slow slip, which break mineral seals, allowing the pressure to propagate tens of km further updip along the interface where it promotes transient slow slips. The proposed methodology, based primarily on in-slab seismicity, may help monitor plate boundary conditions and slow slip phenomena, which can signal the beginning stages of megathrust earthquakes.
Evidence of free tropospheric and long-range transport of microplastic at Pic du Midi Observatory
Authors: Allen S. , Allen D. , Baladima F. , Phoenix V. R. , Thomas J. L. , Le Roux G. , Sonke J. E. 
Published: December 2021

AbstractThe emerging threat of atmospheric microplastic pollution has prompted researchers to study areas previously considered beyond the reach of plastic. Investigating the range of atmospheric microplastic transport is key to understanding the global extent of this problem. While atmospheric microplastics have been discovered in the planetary boundary layer, their occurrence in the free troposphere is relatively unexplored. Confronting this is important because their presence in the free troposphere would facilitate transport over greater distances and thus the potential to reach more distal and remote parts of the planet. Here we show evidence of 0.09–0.66 microplastics particles/m3 over 4 summer months from the Pic du Midi Observatory at 2877 meters above sea level. These results exhibit true free tropospheric transport of microplastic, and high altitude microplastic particles <50 µm (aerodynamic diameter). Analysis of air/particle history modelling shows intercontinental and trans-oceanic transport of microplastics illustrating the potential for global aerosol microplastic transport.
“World in motion” – emulsion adjuvants rising to meet the pandemic challenges
Authors: O’Hagan Derek T. , van der Most Robbert , Lodaya Rushit N. , Coccia Margherita , Lofano Giuseppe 
Published: December 2021

AbstractEmulsion adjuvants such as MF59 and AS03 have been used for more than two decades as key components of licensed vaccines, with over 100 million doses administered to diverse populations in more than 30 countries. Substantial clinical experience of effectiveness and a well-established safety profile, along with the ease of manufacturing have established emulsion adjuvants as one of the leading platforms for the development of pandemic vaccines. Emulsion adjuvants allow for antigen dose sparing, more rapid immune responses, and enhanced quality and quantity of adaptive immune responses. The mechanisms of enhancement of immune responses are well defined and typically characterized by the creation of an “immunocompetent environment” at the site of injection, followed by the induction of strong and long-lasting germinal center responses in the draining lymph nodes. As a result, emulsion adjuvants induce distinct immunological responses, with a mixed Th1/Th2 T cell response, long-lived plasma cells, an expanded repertoire of memory B cells, and high titers of cross-neutralizing polyfunctional antibodies against viral variants. Because of these various properties, emulsion adjuvants were included in pandemic influenza vaccines deployed during the 2009 H1N1 influenza pandemic, are still included in seasonal influenza vaccines, and are currently at the forefront of the development of vaccines against emerging SARS-CoV-2 pandemic variants. Here, we comprehensively review emulsion adjuvants, discuss their mechanism of action, and highlight their profile as a benchmark for the development of additional vaccine adjuvants and as a valuable tool to allow further investigations of the general principles of human immunity.
Caffeine increases performance and leads to a cardioprotective effect during intense exercise in cyclists
Authors: Sampaio-Jorge Felipe , Morales Anderson Pontes , Pereira Rafael , Barth Thiago , Ribeiro Beatriz Gonçalves 
Published: December 2021

AbstractThe present study was designed to investigate the effects of different caffeine dietary strategies to compare the impact on athletic performance and cardiac autonomic response. The order of the supplementation was randomly assigned: placebo(4-day)-placebo(acute)/PP, placebo(4-day)-caffeine(acute)/PC and caffeine(4-day)-caffeine(acute)/CC. Fourteen male recreationally-trained cyclists ingested capsules containing either placebo or caffeine (6 mg kg−1) for 4 days. On day 5 (acute), capsules containing placebo or caffeine (6 mg kg−1) were ingested 60 min before completing a 16 km time-trial (simulated cycling). CC and PC showed improvements in time (CC vs PP, Δ − 39.3 s and PC vs PP, Δ − 43.4 s; P = 0.00; ƞ2 = 0.33) and in output power (CC vs PP, Δ 5.55 w and PC vs PP, Δ 6.17 w; P = 0.00; ƞ2 = 0.30). At the final of the time-trial, CC and PC exhibited greater parasympathetic modulation (vagal tone) when compared to the PP condition (P < 0.00; ƞ2 = 0.92). Our study provided evidence that acute caffeine intake (6 mg∙kg−1) increased performance (time-trial) and demonstrated a relevant cardioprotective effect, through increased vagal tone.
Comparison of HPLC and NMR for quantification of the main volatile fatty acids in rumen digesta
Authors: Wang Mengyuan , Wang Haiying , Zheng Huiru , Uhrin Dusan , Dewhurst Richard J. , Roehe Rainer 
Published: December 2021

AbstractAccurate quantification of volatile fatty acid (VFA) concentrations in rumen fluid are essential for research on rumen metabolism. The study comprehensively investigated the pros and cons of High-performance liquid chromatography (HPLC) and 1H Nuclear magnetic resonance (1H-NMR) analysis methods for rumen VFAs quantification. We also investigated the performance of several commonly used data pre-treatments for the two sets of data using correlation analysis, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The molar proportion and reliability analysis demonstrated that the two approaches produce highly consistent VFA concentrations. In the pre-processing of NMR spectra, line broadening and shim correction may reduce estimated concentrations of metabolites. We observed differences in results using multiplet of different protons from one compound and identified “handle signals” that provided the most consistent concentrations. Different data pre-treatment strategies tested with both HPLC and NMR significantly affected the results of downstream data analysis. “Normalized by sum” pre-treatment can eliminate a large number of positive correlations between NMR-based VFA. A “Combine” strategy should be the first choice when calculating the correlation between metabolites or between samples. The PCA and PLS-DA suggest that except for “Normalize by sum”, pre-treatments should be used with caution.
Measurement and modeling of clemastine fumarate (antihistamine drug) solubility in supercritical carbon dioxide
Authors: Sodeifian Gholamhossein , Garlapati Chandrasekhar , Razmimanesh Fariba , Ghanaat-Ghamsari Marziehsadat 
Published: December 2021

AbstractThe solubilities of clemastine fumarate in supercritical carbon dioxide (ScCO2) were measured for the first time at temperature (308 to 338 K) and pressure (12 to 27 MPa). The measured solubilities were reported in terms of mole faction (mol/mol total) and it had a range from 1.61 × 10–6 to 9.41 × 10–6. Various models were used to correlate the data. The efficacy of the models was quantified with corrected Akaike’s information criterion (AICc). A new cluster salvation model was derived to correlate the solubility data. The new model was able to correlate the data and deviation was 10.3% in terms of average absolute relative deviation (AARD). Furthermore, the measured solubilities were also correlated with existing K.-W. Chen et al., model, equation of state model and a few other density models. Among density models, Reddy and Garlapati model was observed to be the best model and corresponding AARD was 7.57% (corresponding AICc was − 678.88). The temperature independent Peng–Robinson equation of state was able to correlate the data and AARD was 8.25% (corresponding AICc was − 674.88). Thermodynamic parameters like heats of reaction, sublimation and solvation of clemastine fumarate were calculated and reported.
Hinge-type FBG acceleration sensor based on double elastic plate
Authors: Qiu Zhongchao , Zhang Jinquan , Teng Yuntian , Gao Zhitao , Hong Li 
Published: December 2021

AbstractIt is critical for the health monitoring of large-scale structures such as bridge, railway and tunnel to acquire the medium-frequency and high-frequency vibration signals. To solve the problems of low sensitivity and poor transverse anti-interference of the medium-frequency and high-frequency fiber acceleration sensor, a hinge-type Fiber Bragg Grating(FBG) acceleration sensor based on double elastic plate has been proposed, and the hinge and elastic plate are used as elastomer to realize the miniaturization and transverse interference suppression of the sensor. The MATLAB and the ANSYS are used for theoretical analysis and optimization of sensor sensitivity and resonance frequency, structural static stress analysis and modal simulation analysis, while the test system is built to test the sensor performance. The results show that the resonance frequency of the sensor is 1300 Hz; the sensor has a flat sensitivity response in the middle-high frequency band of 200–800 Hz; the sensitivity is about 20 pm/g, and the fiber central wavelength drift and acceleration have good linearity and stability, while the transverse anti-interference is about 3.16%, which provides a new idea for monitoring of medium-frequency and high-frequency vibration signals in large-scale structures.
A retrospective study of distribution of HIV associated malignancies among inpatients from 2007 to 2020 in China
Authors: Wang Fang , Xiang Pan , Zhao Hongxin , Gao Guiju , Yang Di , Xiao Jiang , Han Ning , Wu Liang , Liang Hongyuan , Ni Liang , Duan Yujiao , Xu Qiuhua , Chen Meiling , Zhang Fujie 
Published: December 2021

AbstractHIV-associated malignancies are responsible for morbidity and mortality increasingly in the era of potent antiretroviral therapy. This study aimed to investigate the distribution of HIV-associated malignancies among inpatients, the immunodeficiency and the effect of antiretroviral therapy (ART) on spectrum of HIV-associated malignancies. A total of 438 cases were enrolled from 2007 to 2020 in Beijing Ditan Hospital. Demographic, clinical and laboratory data, managements, and outcomes were collected and analyzed retrospectively. Of 438 cases, 433 were assigned to non-AIDS-defining cancers (NADCs) (n = 200, 45.7%) and AIDS-defining cancers (ADCs) (n = 233, 53.2%), 5 (1.1%) with lymphoma were not specified further. No significant change was observed in the proportion of NADCs and ADCs as time goes on. Of NADCs, lung cancer (n = 38, 19%) was the most common type, followed by thyroid cancer (n = 17, 8.5%). Patients with ADCs had lower CD4 counts(104.5/μL vs. 314/μL), less suppression of HIVRNA(OR 0.23, 95%CI 0.16–0.35) compared to those with NADCs. ART did not affect spectrum of NADCs, but affect that of ADCs (between patients with detectable and undetectable HIVRNA). ADCs remain frequent in China, and NADCs play an important role in morbidity and mortality of HIV positive population.
Common and diet-specific metabolic pathways underlying residual feed intake in fattening Charolais yearling bulls
Authors: Jorge-Smeding Ezequiel , Bonnet Muriel , Renand Gilles , Taussat Sébastien , Graulet Benoit , Ortigues-Marty Isabelle , Cantalapiedra-Hijar Gonzalo 
Published: December 2021

AbstractResidual feed intake (RFI) is one of the preferred traits for feed efficiency animal breeding. However, RFI measurement is expensive and time-consuming and animal ranking may depend on the nature of the diets. We aimed to explore RFI plasma biomarkers and to unravel the underlying metabolic pathways in yearling bulls fed either a corn-silage diet rich in starch (corn diet) or a grass-silage diet rich in fiber (grass diet). Forty-eight extreme RFI animals (Low-RFI, n = 24, versus High-RFI, n = 24, balanced per diet) were selected from a population of 364 Charolais bulls and their plasma was subjected to a targeted LC-MS metabolomic approach together with classical metabolite and hormonal plasma analyses. Greater lean body mass and nitrogen use efficiency, and lower protein turnover were identified as common mechanisms underlying RFI irrespective of the diet. On the other hand, greater adiposity and plasma concentrations of branched-chain amino acids (BCAA) together with lower insulin sensitivity in High-RFI animals were only observed with corn diet. Conversely, greater plasma concentrations of BCAA and total triglycerides, but similar insulin concentrations were noted in efficient RFI cattle with grass diet. Our data suggest that there are diet-specific mechanisms explaining RFI differences in fattening Charolais yearling bulls.
Machine-learning algorithms for forecast-informed reservoir operation (FIRO) to reduce flood damages
Authors: Zarei Manizhe , Bozorg-Haddad Omid , Baghban Sahar , Delpasand Mohammad , Goharian Erfan , Loáiciga Hugo A. 
Published: December 2021

AbstractWater is stored in reservoirs for various purposes, including regular distribution, flood control, hydropower generation, and meeting the environmental demands of downstream habitats and ecosystems. However, these objectives are often in conflict with each other and make the operation of reservoirs a complex task, particularly during flood periods. An accurate forecast of reservoir inflows is required to evaluate water releases from a reservoir seeking to provide safe space for capturing high flows without having to resort to hazardous and damaging releases. This study aims to improve the informed decisions for reservoirs management and water prerelease before a flood occurs by means of a method for forecasting reservoirs inflow. The forecasting method applies 1- and 2-month time-lag patterns with several Machine Learning (ML) algorithms, namely Support Vector Machine (SVM), Artificial Neural Network (ANN), Regression Tree (RT), and Genetic Programming (GP). The proposed method is applied to evaluate the performance of the algorithms in forecasting inflows into the Dez, Karkheh, and Gotvand reservoirs located in Iran during the flood of 2019. Results show that RT, with an average error of 0.43% in forecasting the largest reservoirs inflows in 2019, is superior to the other algorithms, with the Dez and Karkheh reservoir inflows forecasts obtained with the 2-month time-lag pattern, and the Gotvand reservoir inflow forecasts obtained with the 1-month time-lag pattern featuring the best forecasting accuracy. The proposed method exhibits accurate inflow forecasting using SVM and RT. The development of accurate flood-forecasting capability is valuable to reservoir operators and decision-makers who must deal with streamflow forecasts in their quest to reduce flood damages.
Fractal–fractional and stochastic analysis of norovirus transmission epidemic model with vaccination effects
Authors: Cui Ting , Liu Peijiang , Din Anwarud 
Published: December 2021

AbstractIn this paper, we investigate an norovirus (NoV) epidemic model with stochastic perturbation and the new definition of a nonlocal fractal–fractional derivative in the Atangana–Baleanu–Caputo (ABC) sense. First we present some basic properties including equilibria and the basic reproduction number of the model. Further, we analyze that the proposed stochastic system has a unique global positive solution. Next, the sufficient conditions of the extinction and the existence of a stationary probability measure for the disease are established. Furthermore, the fractal–fractional dynamics of the proposed model under Atangana–Baleanu–Caputo (ABC) derivative of fractional order “$${p}$$
p
” and fractal dimension “$${q}$$
q
” have also been addressed. Besides, coupling the non-linear functional analysis with fixed point theory, the qualitative analysis of the proposed model has been performed. The numerical simulations are carried out to demonstrate the analytical results. It is believed that this study will comprehensively strengthen the theoretical basis for comprehending the dynamics of the worldwide contagious diseases.
Geoinformation-based landslide susceptibility mapping in subtropical area
Authors: Zhou Xiaoting , Wu Weicheng , Qin Yaozu , Fu Xiao 
Published: December 2021

AbstractMapping susceptibility of landslide disaster is essential in subtropical area, where abundant rainfall may trigger landslide and mudflow, causing damages to human society. The purpose of this paper is to propose an integrated methodology to achieve such a mapping work with improved prediction results using hybrid modeling taking Chongren, Jiangxi as an example. The methodology is composed of the optimal discretization of the continuous geo-environmental factors based on entropy, weight of evidence (WoE) calculation and application of the known machine learning (ML) models, e.g., Random Forest (RF), Support Vector Machine (SVM) and Logistic Regression (LR). The results show the effectiveness of the proposed hybrid modeling for landslide hazard mapping in which the prediction accuracy vs the validation set reach 82.35–91.02% with an AUC [area under the receiver operating characteristic (ROC) curve] of 0.912–0.970. The RF algorithm performs best among the observed three ML algorithms and WoE-based RF modeling will be recommended for the similar landslide risk prediction elsewhere. We believe that our research can provide an operational reference for predicting the landslide hazard in the subtropical area and serve for disaster reduction and prevention action of the local governments.