bluuebunny/crossref_metadata_2025_split huggingface dataset:
How cardiologists manage antithrombotic treatment of patients with atrial fibrillation undergoing percutaneous coronary stenting: the WOEST survey 2018
Authors: de Veer A. J. W. M. , Bennaghmouch N. , Dewilde W. J. M. , ten Berg J. M. 
Published: October 2020

AbstractBackgroundAntithrombotic treatment choices are complicated when patients have both atrial fibrillation (AF) and acute coronary syndrome and/or undergo percutaneous coronary intervention (PCI). In this study, we aimed to gain insight into antithrombotic management strategies in daily clinical practice.MethodsWe invited interventional cardiologists to complete the WOEST (What is the Optimal antiplatElet & Anticoagulant Therapy in Patients With Oral Anticoagulation and Coronary StenTing) survey 2018. In this questionnaire, we presented a patient with a non-ST-elevation myocardial infarction (NSTEMI) and an elective PCI case.ResultsThe results were based on 118 completed questionnaires (response rate 69.4%). In the case of the AF patient with NSTEMI, most cardiologists indicated they would initiate dual antiplatelet therapy (acetylsalicylic acid and clopidogrel) and continue non-vitamin K antagonist oral anticoagulant (NOAC) therapy at admission and during coronary angiography/PCI. At discharge, 70.3% would prescribe triple antithrombotic therapy (oral anticoagulation, acetylsalicylic acid and clopidogrel), mostly for 1 month. One year after NSTEMI, 83.1% would cancel the antiplatelet therapy and prescribe NOAC monotherapy. For the AF patient undergoing elective PCI, 51.7% would start dual antiplatelet therapy prior to the procedure and 52.5% would discontinue NOAC therapy prior to the PCI. At discharge, 55.1% would start triple antithrombotic therapy. Furthermore, 25.4% responded they routinely prescribe a reduced dose of NOAC after discharge. One year after PCI, 89.0% would continue NOAC monotherapy.ConclusionThe WOEST survey demonstrated heterogeneity in antithrombotic management strategies among interventional cardiologists. This observed variety mirrors the heterogeneity of the many guidelines and consensus documents. Further research is needed to guide patient-tailored medicine for AF patients undergoing PCI.
Identification of Water and Nitrogen Stress Indicative Spectral Bands Using Hyperspectral Remote Sensing in Maize During Post-Monsoon Season
Authors: Naik B. Balaji , Naveen H. R. , Sreenivas G. , Choudary K. Karun , Devkumar D. , Adinarayana J. 
Published: October 2020

AbstractRealization of agricultural crop condition through field survey is quite expensive, time consuming and sometimes not practical for remote locations. Optical remote sensing techniques can provide information on real condition of the crops by observing spectral reflectance at different crop growth phases and is less expensive and less time consuming. Hyperspectral remote sensing provides a unique opportunity for non-destructive, timely and accurate estimation of crop biophysical and biochemical properties. In this study, a field experiment was conducted to identify the water and nitrogen stress indicative spectral bands using ground-based hyperspectral data and to assess the predictive capability of selective bands on yield of maize under water and nitrogen stress environment. The experiment comprised of three irrigation scheduling treatments based on IW/CPE ration of 0.6, 0.8 and 1.2 and three nitrogen level treatments, i.e., 100, 200 and 300 kg of N ha−1, respectively, with three replications in a split plot design. The spectral reflectance was measured before irrigation at tasseling and dough stage of the maize crop using portable field spectroradiometer. The results of stepwise multiple linear regression indicated the highest predicting capability of spectral bands 540 nm, 780 nm and 860 nm for leaf nitrogen and 700 nm, 740 nm and 860 nm for leaf water content. The derived biophysical parameters based on spectral reflectance viz. relative leaf water content (%), leaf area index and leaf nitrogen contentment (%) at tasseling stage of maize crop accounted for 80%, 61% and 66% variation in grain yield, respectively.
Thyroid hormones modulate irisin concentrations in patients with recently onset hypothyroidism following total thyroidectomy
Authors: Bocale R. , Barini A. , D‘Amore A. , Boscherin M. , Necozione S. , Barini A. , Desideri G. , Lombardi C. P. 
Published: October 2020

Abstract
Purpose
Irisin is a newly discovered adipo-myokine known for having significant effects on body metabolism. Currently, there is a discussion regarding the relation between thyroid function and irisin concentration. This study was designed to evaluate the influential role of levothyroxine replacement therapy on circulating levels of irisin in patients with recently onset hypothyroidism following total thyroidectomy.

Methods
Circulating levels of thyroid hormones, irisin and other metabolic parameters, were assessed in 40 recently thyroidectomized patients (34 females, mean age 50.1 ± 15.2 years) at baseline (5–7 day after surgery) and after 2 months under replacement therapy with levothyroxine.

Results
At baseline, circulating levels of thyroid hormones were indicative of hypothyroidism (TSH 12.7 ± 5.0 μU/mL, FT3 1.9 ± 0.7 pg/mL, FT4 8.7 ± 3.6 pg/mL). Mean serum irisin concentrations significantly increased after 2 months under replacement therapy with levothyroxine (from 2.2 ± 0.6 to 2.9 ± 0.6 μg/mL, p < 0.0001). Variations of circulating levels of irisin under levothyroxine replacement therapy were directly correlated with those of FT3 (Rho = 0.454, p = 0.0033) and FT4 (Rho = 0.451, p = 0.0035). Multivariate regression analysis revealed that changes in thyroid hormones concentrations explained up to 10% of the variations of serum irisin levels under levothyroxine replacement therapy (FT3 R2 = 0.098, FT4 R2 = 0.103).

Conclusion
Our study suggests that levothyroxine replacement therapy mildly influences irisin metabolism in patients with recently onset hypothyroidism following total thyroidectomy.
Height prediction of water-flowing fracture zone with a genetic-algorithm support-vector-machine method
Authors: Hou Enke , Wen Qiang , Ye Zhenni , Chen Wei , Wei Jiangbo 
Published: October 2020

AbstractPrediction of the height of a water-flowing fracture zone (WFFZ) is the foundation for evaluating water bursting conditions on roof coal. By taking the Binchang mining area as the study area and conducting an in-depth study of the influence of coal seam thickness, burial depth, working face length, and roof category on the height of a WFFZ, we proposed that the proportion of hard rock in different roof ranges should be used to characterise the influence of roof category on WFFZ height. Based on data of WFFZ height and its influence index obtained from field observations, a prediction model is established for WFFZ height using a combination of a genetic algorithm and a support-vector machine. The reliability and superiority of the prediction model were verified by a comparative study and an engineering application. The results show that the main factors affecting WFFZ height in the study area are coal seam thickness, burial depth, working face length, and roof category. Compared with multiple-linear-regression and back-propagation neural-network approaches, the height-prediction model of the WFFZ based on a genetic-algorithm support-vector-machine method has higher training and prediction accuracy and is more suitable for WFFZ prediction in the mining area.
Estimating Economically Optimal Levels of Nitrogen Fertilizer in No-Tillage Continuous Corn
Authors: Villacis Alexis H. , Ramsey A. Ford , Delgado Jorge A. , Alwang Jeffrey R. 
Published: October 2020

AbstractStochastic plateau production functions provide improved fertilizer recommendations based on multi-year agronomic experiments where weather and other stochastic variables change over time. This research assesses the profitability of no-tillage corn production in northeastern Colorado and determines economically optimal nitrogen fertilizer rates. It also proposes an alternative parameterization of the linear response stochastic plateau model which provides a robustness check against traditional parameterizations. Results show the current use of nitrogen fertilizer in the area exceeds estimated economically optimal levels. This suggests that a reduction in nitrogen use could increase expected profits and simultaneously reduce environmental costs.
Determinants of technical efficiency of potato farmers and effects of constraints on potato production in Northern Ethiopia
Authors: Andaregie Adino , Astatkie Tessema 
Published: October 2020

AbstractTo improve the national average yield of potato in Ethiopia, which is very low as compared to its potential, factors that influence technical efficiency of potato production need to be determined. Therefore, the objective of this study was to investigate the determinants of technical efficiency using a cross-sectional data collected from 368 randomly selected potato producers in Northern Ethiopia using a multi-stage sampling technique. The study employed Cobb–Douglas stochastic frontier model to get farm-level technical efficiency scores. Tobit model and principal component analysis were used to determine the factors that influence technical efficiency of farm households. The results revealed that chemical fertiliser, seed potato, plot size and labour are statistically significant factors that affect potato yield. The average technical efficiency score was estimated to be 75%; and education, experience, off-farm income, household size, membership in a farmers’ association, use of irrigation water, extension contact, use of improved seed, access to product market and weak coordination of stakeholders’ were significant factors influencing technical efficiency. The findings of the study suggest that there is a need for government intervention to create strong market linkage between producers and buyers and to give appropriate training to agricultural extension agents.
Post-abortion fertility desires, contraceptive uptake and unmet need for family planning: voices of post-abortion care clients in Tanzania
Authors: Baynes Colin , Yegon Erick , Lusiola Grace , Achola Japhet , Kahando Rehema 
Published: October 2020

AbstractPost-abortion care (PAC) integrates elements of care that are vital for women’s survival after abortion complications with intervention components that aid women in controlling their fertility, and provides an optimal window of opportunity to help women meet their family planning goals. Yet, incorporating quality family planning services remains a shortcoming of PAC services, particularly in low- and middle-income countries. This paper presents evidence from a mixed method study conducted in Tanzania that aimed at explaining factors that contribute to this challenge. Analysis of data obtained through client exit interviews quantified the level of unmet need for contraception among PAC clients and isolated the factors associated with post-abortion contraceptive uptake. Qualitative data analysis of interviews with a subset of these women explored the multi-level context in which post-abortion pregnancy intentions and contraceptive behaviours are formed. Approximately 30% of women interviewed (N=412) could recall receiving counselling on post-abortion family planning. Nearly two-thirds reported a desire to either space or limit childbearing. Of those who desired to space or limited childbearing, approximately 20% received a contraceptive method before discharge from PAC. The factors significantly associated with post-abortion contraceptive acceptance were completion of primary school, prior use of contraception, receipt of PAC at lower level facilities and recall of post-abortion family planning counselling. Qualitative analysis revealed different layers of contextual influences that shaped women’s fertility desires and contraceptive decision-making during PAC: individual (PAC client), spousal/partner-related, health service-related and societal. While results lend support to the concept that there are opportunities for services to address unmet need for post-abortion family planning, they also attest to the synergistic influences of individual, spousal, organizational and societal factors that influence whether they can be realized during PAC. Several strategies to do so emerged saliently from this analysis. These emphasize customized counselling to enable client–provider communication about fertility preferences, structural intervention aimed at empowering women to assert those objectives in family and health care settings, availability of information and services on post-abortion fertility and contraceptive eligibility in PAC settings and interventions to facilitate constructive spousal communication on family planning and contraceptive use, after abortion and in general.
Can metacognitive interventions improve insight in schizophrenia spectrum disorders? A systematic review and meta-analysis
Authors: Lopez-Morinigo Javier-David , Ajnakina Olesya , Martínez Adela Sánchez-Escribano , Escobedo-Aedo Paula-Jhoana , Ruiz-Ruano Verónica González , Sánchez-Alonso Sergio , Mata-Iturralde Laura , Muñoz-Lorenzo Laura , Ochoa Susana , Baca-García Enrique , David Anthony S 
Published: October 2020

AbstractBackgroundPatients with schizophrenia spectrum disorders (SSD) tend to lack insight, which is linked to poor outcomes. The effect size of previous treatments on insight changes in SSD has been small. Metacognitive interventions may improve insight in SSD, although this remains unproved.MethodsWe carried out a systematic review and meta-analysis of randomized controlled trials (RCTs) to examine the effects of metacognitive interventions designed for SSD, namely Metacognitive Training (MCT) and Metacognitive Reflection and Insight Therapy (MERIT), on changes in cognitive and clinical insight at post-treatment and at follow-up.ResultsTwelve RCTs, including 10 MCT RCTs (n = 717 participants) and two MERIT trials (n = 90), were selected, totalling N = 807 participants. Regarding cognitive insight six RCTs (n = 443) highlighted a medium effect of MCT on self-reflectiveness at post-treatment, d = 0.46, p < 0.01, and at follow-up, d = 0.30, p < 0.01. There was a small effect of MCT on self-certainty at post-treatment, d = −0.23, p = 0.03, but not at follow-up. MCT was superior to controls on an overall Composite Index of cognitive insight at post-treatment, d = 1.11, p < 0.01, and at follow-up, d = 0.86, p = 0.03, although we found evidence of heterogeneity. Of five MCT trials on clinical insight (n = 244 participants), which could not be meta-analysed, four of them favoured MCT compared v. control. The two MERIT trials reported conflicting results.ConclusionsMetacognitive interventions, particularly Metacognitive Training, appear to improve insight in patients with SSD, especially cognitive insight shortly after treatment. Further long-term RCTs are needed to establish whether these metacognitive interventions-related insight changes are sustained over a longer time period and result in better outcomes.
Predictive indicators of severe COVID-19 independent of comorbidities and advanced age: a nested case−control study
Authors: Li Xinjie , Marmar Tuohutaerbieke , Xu Qiang , Tu Jing , Yin Yue , Tao Qihui , Chen Huilong , Shen Tao , Xu Dong 
Published: October 2020

AbstractTo determine what exacerbate severity of the COVID-19 among patients without comorbidities and advanced age and investigate potential clinical indicators for early surveillance, we adopted a nested case−control study, design in which severe cases (case group,n= 67) and moderate cases (control group,n= 67) of patients diagnosed with COVID-19 without comorbidities, with ages ranging from 18 to 50 years who admitted to Wuhan Tongji Hospital were matched based on age, sex and BMI. Demographic and clinical characteristics, and risk factors associated with severe symptoms were analysed. Percutaneous oxygen saturation (SpO2), lymphocyte counts, C-reactive protein (CRP) and IL-10 were found closely associated with severe COVID-19. The adjusted multivariable logistic regression analyses revealed that the independent risk factors associated with severe COVID-19 were CRP (OR 2.037, 95% CI 1.078–3.847,P= 0.028), SpO2(OR 1.639, 95% CI 0.943–2.850,P= 0.080) and lymphocyte (OR 1.530, 95% CI 0.850–2.723,P= 0.148), whereas the changes exhibited by indicators influenced incidence of disease severity. Males exhibited higher levels of indicators associated with inflammation, myocardial injury and kidney injury than the females. This study reveals that increased CRP levels and decreased SpO2and lymphocyte counts could serve as potential indicators of severe COVID-19, independent of comorbidities, advanced age and sex. Males could at higher risk of developing severe symptoms of COVID-19 than females.
Worth the Wait: Delayed Recall after 1 Week Predicts Cognitive and Medial Temporal Lobe Trajectories in Older Adults
Authors: Lindbergh Cutter A. , Walker Nicole , La Joie Renaud , Weiner-Light Sophia , Staffaroni Adam M. , Casaletto Kaitlin B. , Elahi Fanny , Walters Samantha M. , You Michelle , Cotter Devyn , Asken Breton , Apple Alexandra C. , Tsoy Elena , Neuhaus John , Fonseca Corrina , Wolf Amy , Cobigo Yann , Rosen Howie , Kramer Joel H. ,   the Hillblom Aging Network
Published: October 2020

AbstractObjective: We evaluated whether memory recall following an extended (1 week) delay predicts cognitive and brain structural trajectories in older adultsMethod:Clinically normal older adults (52–92 years old) were followed longitudinally for up to 8 years after completing a memory paradigm at baseline [Story Recall Test (SRT)] that assessed delayed recall at 30 min and 1 week. Subsets of the cohort underwent neuroimaging (N = 134, mean age = 75) and neuropsychological testing (N = 178–207, mean ages = 74–76) at annual study visits occurring approximately 15–18 months apart. Mixed-effects regression models evaluated if baseline SRT performance predicted longitudinal changes in gray matter volumes and cognitive composite scores, controlling for demographics.Results:Worse SRT 1-week recall was associated with more precipitous rates of longitudinal decline in medial temporal lobe volumes (p = .037), episodic memory (p = .003), and executive functioning (p = .011), but not occipital lobe or total gray matter volumes (demonstrating neuroanatomical specificity; p > .58). By contrast, SRT 30-min recall was only associated with longitudinal decline in executive functioning (p = .044).Conclusions:Memory paradigms that capture longer-term recall may be particularly sensitive to age-related medial temporal lobe changes and neurodegenerative disease trajectories. (JINS, 2020, xx, xx-xx)
Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars
Authors: Scholz John‐Robert , Widmer‐Schnidrig Rudolf , Davis Paul , Lognonné Philippe , Pinot Baptiste , Garcia Raphaël F. , Hurst Kenneth , Pou Laurent , Nimmo Francis , Barkaoui Salma , de Raucourt Sébastien , Knapmeyer‐Endrun Brigitte , Knapmeyer Martin , Orhand‐Mainsant Guénolé , Compaire Nicolas , Cuvier Arthur , Beucler Éric , Bonnin Mickaël , Joshi Rakshit , Sainton Grégory , Stutzmann Eléonore , Schimmel Martin , Horleston Anna , Böse Maren , Ceylan Savas , Clinton John , van Driel Martin , Kawamura Taichi , Khan Amir , Stähler Simon C. , Giardini Domenico , Charalambous Constantinos , Stott Alexander E. , Pike William T. , Christensen Ulrich R. , Banerdt W. Bruce 
Published: October 2020

AbstractThe instrument package SEIS (Seismic Experiment for Internal Structure) with the three very broadband and three short‐period seismic sensors is installed on the surface on Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is deployed in a very harsh wind and temperature environment that leads to inevitable degradation of the quality of the recorded data. One ubiquitous artifact in the raw data is an abundance of transient one‐sided pulses often accompanied by high‐frequency spikes. These pulses, which we term “glitches”, can be modeled as the response of the instrument to a step in acceleration, while the spikes can be modeled as the response to a simultaneous step in displacement. We attribute the glitches primarily to SEIS‐internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the SEIS package as a whole caused by minuscule tilts of either the instrument or the ground. In this study, we focus on the analysis of the glitch+spike phenomenon and present how these signals can be automatically detected and removed from SEIS's raw data. As glitches affect many standard seismological analysis methods such as receiver functions, spectral decomposition and source inversions, we anticipate that studies of the Martian seismicity as well as studies of Mars' internal structure should benefit from deglitched seismic data.
Phase Decoherence Within Intense Chorus Wave Packets Constrains the Efficiency of Nonlinear Resonant Electron Acceleration
Authors: Zhang X.‐J. , Agapitov O. , Artemyev A. V. , Mourenas D. , Angelopoulos V. , Kurth W. S. , Bonnell J. W. , Hospodarsky G. B. 
Published: October 2020

AbstractElectron resonant interaction with whistler mode waves is traditionally considered as one of the main drivers of radiation belt dynamics. The two main theoretical concepts available for its description are quasi‐linear theory of electron scattering by low‐amplitude waves and nonlinear theory of electron resonant trapping and phase bunching by intense waves. Both concepts successfully describe some aspects of wave‐particle interactions but predict significantly different timescales of relativistic electron acceleration. In this study, we investigate effects that can reduce the efficiency of nonlinear interactions and bridge the gap between the predictions of these two types of models. We examine the effects of random wave phase and frequency variations observed inside whistler mode wave packets on nonlinear interactions. Our results show that phase coherence and frequency fluctuations should be taken into account to accurately model electron nonlinear resonant acceleration and that, along with wave amplitude modulation, they may reduce acceleration rates to realistic, moderate levels.