bluuebunny/crossref_metadata_2025_split huggingface dataset:
Three contemporary thin‐strut drug‐eluting stents implanted in severely calcified coronary lesions of participants in a randomized all‐comers trial
Authors: Buiten Rosaly A. , Ploumen Eline H. , Zocca Paolo , Doggen Carine J. M. , van Houwelingen K. Gert , Danse Peter W. , Schotborgh Carl E. , Stoel Martin G. , Scholte Martijn , Linssen Gerard C. M. , de Man Frits H. A. F. , von Birgelen Clemens 
Published: April 2020

AbstractObjectiveThe objective was to assess the 2‐year clinical performance of three drug‐eluting stents in all‐comer patients with severely calcified coronary lesions.BackgroundSevere lesion calcification increases cardiovascular event risk after coronary stenting, but there is a lack of data on the clinical outcome of all‐comers with severely calcified lesions who were treated with more recently introduced drug‐eluting stents.MethodsThe BIO‐RESORT trial (clinicaltrials.gov: NCT01674803) randomly assigned 3,514 all‐comer patients to biodegradable polymer Synergy everolimus‐eluting stents (EES) or Orsiro sirolimus‐eluting stents (SES), versus durable polymer Resolute Integrity zotarolimus‐eluting stents (ZES). In a post hoc analysis, we assessed 783 patients (22.3%) with at least one severely calcified target lesion.ResultsAt 2‐year follow‐up (available in 99% of patients), the main composite endpoint target vessel failure occurred in 19/252 (7.6%) of the EES and in 33/265 (12.6%) of the ZES‐treated patients (p = .07). Target vessel failure occurred in 24/266 (9.1%) of the SES‐treated patients (vs. ZES: p = .21). There was a difference in target vessel revascularization, which was required in EES in 6/252 (2.4%) patients and in ZES in 20/265 (7.7%) patients (p = .01); the target vessel revascularization rate in SES was 9/266 (3.4%, vs. ZES: p = .04). Multivariate analysis showed that implantation of EES, but not SES, was independently associated with lower target vessel revascularization rates than in ZES.ConclusionsIn BIO‐RESORT participants with severely calcified target lesions, treatment with EES was associated with a lower 2‐year target vessel revascularization rate than treatment with ZES.
Ultra‐low Loading of Au Clusters on Nickel Nitride Efficiently Boosts Photocatalytic Hydrogen Production with Titanium Dioxide
Authors: Meng Xiangjian , Kuang Wandi , Qi Weiliang , Cheng Zhixing , Thomas Tiju , Liu Siqi , Yang Chun , Yang Minghui 
Published: April 2020

AbstractPlatinum (Pt) is a widely used co‐catalyst with excellent performance for photocatalytic hydrogen evolution. However, it is not suitable for industrial production because of its prohibitive cost. Currently, there are two means to overcome this challenge. One is to, find alternative cocatalysts for Pt. The other is to develop ultrasmall of noble metal clusters, which reduces the amount of noble metal loading required. This reduces the loading amount of noble metals and improves their atomic efficiency. In this work, we have integrated both these approaches to generate a non‐noble metal co‐catalyst nickel nitride (Ni3N) and Au clusters (Auc). The composite cocatalyst (Ni3N−Auc) thus obtained promotes photocatalytic hydrogen production of TiO2. The (Ni3N−Auc−TiO2) composite with an ultralow amount of Auc (0.00025 wt%) shows photocatalytic hydrogen production rates that are even higher than that of Pt−TiO2. The loading requirement of noble metal is reduced by 99.95 wt% compared to the optimal load of Pt; further indicating the cost efficiency possible through this method.
Polyurethane as Novel Catalyst for the Propoxylation of Fatty Amines
Authors: Müller Pia , Neira d'Angelo Maria Fernanda , van der Schaaf John 
Published: April 2020

AbstractThe propoxylation of fatty amines is a crucial reaction in the industrial production of surfactants. Catalyzing this reaction has so far proven unrewarding due to severe selectivity losses. In this study, rigid foam‐structured polyurethane, i. e., an extremely inexpensive material which has not been used as a catalyst ever before, shows an unprecedented catalytic activity during the in‐flow propoxylation of octylamine. The foam cells contain bound hydroxyl and amine groups that result in a bifunctional catalyst able to destabilize the ring structure of propylene oxide, and thus catalyze further propoxylation of fatty amines. An outstanding 10‐fold reduction of the residence time without any loss of selectivity is achieved with respect to the un‐catalyzed process. Furthermore, the polyurethane foam showed stable time‐on‐stream performance up to 10 bar and 110 °C.
A Combined Theory‐Experiment Analysis of the Surface Species in Lithium‐Mediated NH3 Electrosynthesis
Authors: Schwalbe Jay A. , Statt Michael J. , Chosy Cullen , Singh Aayush R. , Rohr Brian A. , Nielander Adam C. , Andersen Suzanne Z. , McEnaney Joshua M. , Baker Jon G. , Jaramillo Thomas F. , Nørskov Jens K. , Cargnello Matteo 
Published: April 2020

AbstractInvited for this month's cover picture is the group of Prof. Matteo Cargnello in the Chemical Engineering Department at Stanford University and within the SUNCAT Center for Interface Science and Catalysis (USA). The cover picture shows nitrogen molecules being reduced to ammonia on a lithium‐covered surface. Read the full text of the Article at 10.1002/celc.201902124.
Regio‐ and Diastereoselective Dimerization of Diazo Carbonyls: A Cooperative Catalytic Approach to Complex Scaffolds with Four Contiguous Stereocenters
Authors: Petzold Martin , Günther Andre , Jones Peter G. , Werz Daniel B. 
Published: April 2020

AbstractStarting from readily available o‐diazoacyl‐substituted arene carboxylates, scaffolds with the 5,9‐epoxycyclohepta[b]pyran‐2(3H)‐one core were obtained by cooperative RhII, Lewis and Brønsted acid catalysis. Four new bonds, three functional groups (lactone, ketal, and alcohol) and four contiguous stereocenters are formed during this regio‐ and diastereoselective process in a single synthetic step. Intensive optimization and mechanistic studies, including the trapping, isolation, and elucidation of reaction intermediates, led to a plausible mechanistic scenario. The reaction is proposed to involve carbonyl ylides but also transient species of the ketocarbene equilibrium that undergo a cascade of cycloaddition and skeletal rearrangements.
In our patient‐centered era, it is time we gave patient‐reported outcomes their due
Authors: Cella David 
Published: April 2020

In their article, St Germain et al have reported on the publication rate of health‐related quality of life (HRQOL) correlative studies in National Cancer Institute–supported cancer treatment trials. To the person with cancer, quality of life is as important as tumor response, disease progression, and survival. It is time to design successful implementation and analytic strategies that evaluate treatment efficacy with HRQOL in mind.
Analyzing Protein Disorder with IUPred2A
Authors: Erdős Gábor , Dosztányi Zsuzsanna 
Published: April 2020

AbstractIUPred2A is a combined prediction tool designed to discover intrinsically disordered or conditionally disordered proteins and protein regions. Intrinsically disordered regions exist without a well‐defined three‐dimensional structure in isolation but carry out important biological functions. Over the years, various prediction methods have been developed to characterize disordered regions. The existence of disordered segments can also be dependent on different factors such as binding partners or environmental traits like pH or redox potential, and recognizing such regions represents additional computational challenges. In this article, we present detailed instructions on how to use IUPred2A, one of the most widely used tools for the prediction of disordered regions/proteins or conditionally disordered segments, and provide examples of how the predictions can be interpreted in different contexts. © 2020 The Authors.Basic Protocol 1: Analyzing disorder propensity with IUPred2A onlineBasic Protocol 2: Analyzing disordered binding regions using ANCHOR2Support Protocol 1: Interpretation of the resultsBasic Protocol 3: Analyzing redox‐sensitive disordered regionsSupport Protocol 2: Download optionsSupport Protocol 3: REST API for programmatic purposesBasic Protocol 4: Using IUPred2A locally
Integrated Photo‐Responsive Batteries for Solar Energy Harnessing: Recent Advances, Challenges, and Opportunities
Authors: Fang Zhengsong , Hu Xuanhe , Yu Dingshan 
Published: April 2020

AbstractInvited for this month's cover is the group of Prof. Dingshan Yu from Sun Yat‐sen University, China. The Front Cover shows an integrated photo‐responsive battery with the simplest two‐electrode configuration powering a vehicle under light illumination. The Taiji diagram shows the working principle of this device, which combines photoexcited electrons (e‐) and/or holes (h+) with various redox species of the batteries during charging and/or discharging processes to realize the harnessing of solar energy. Read the full text of the Minireview at 10.1002/cplu.201900608.
Pharmacogenomic‐Based Decision Support to Predict Adherence to Medications
Authors: Christian Carlton , Borden Brittany A. , Danahey Keith , Yeo Kiang‐Teck J. , van Wijk Xander M.R. , Ratain Mark J. , O'Donnell Peter H. 
Published: April 2020

Poor adherence is associated with worse disease outcomes. Pharmacogenomics provides a possible intervention to address adherence. We hypothesized that pharmacogenomic‐informed care could increase adherence. Patients in a prospective case‐control study underwent preemptive pharmacogenomic genotyping with results available for provider use at the point of care; controls (not genotyped) were treated by the same providers. Over 6,000 e‐prescriptions for 39 medications with actionable pharmacogenomic information were analyzed. Composite adherence, measured by modified proportion of days covered (mPDC), was compared between cases/controls and genomically concordant vs. genomically higher‐risk medications. Overall, 536 patients were included. No difference in mean mPDC was observed due to availability of pharmacogenomic guidance. However, case patients prescribed high‐risk pharmacogenomic medications were more than twice as likely to have low mPDC for these medications compared with genomically concordant prescriptions (odds ratio = 2.4 (1.03–5.74), P < 0.05). This study is the first to show that composite pharmacogenomic information predicts adherence.
Trade‐off between nutritive value improvement and crop water use for an alfalfa–grass system
Authors: Dhakal Madhav , West Charles P. , Villalobos Carlos , Sarturi Jhones O. , Deb Sanjit K. 
Published: April 2020

AbstractAlfalfa (Medicago sativa L.) can enhance the supply of nutritious forage when interseeded into semiarid native grassland. Alfalfa is a high water‐using species; therefore, a possible trade‐off between soil water depletion and nutritive value merits study. We determined the effects of interseeding three alfalfa cultivars at two densities on crude protein (CP) and digestible organic matter (DOM) accumulations, the water footprint (WF, m3 evapotranspiration kg−1) of CP and DOM accumulation at two row spacings, and the marginal cost (MC) of such trade‐offs. Nutritive values and accumulation of CP and DOM for mixtures with alfalfa planted at 36‐ or 71‐cm row spacing did not differ in 2018 (P > .05), as both spacings reduced the WF over grass only (P < .0001). Alfalfa presence reduced the WF (P < .001) with respect to CP and DOM accumulation from 20.17 and 3.07 m3 kg−1 in the grass‐only control to 10.14 and 2.22 m3 kg−1 in alfalfa–grass mixtures, respectively. Interseeding alfalfa in wide rows had 23 and 26% less MC of revenue increment than interseeding in narrow rows, relative to grass only in Years 2 and 3, respectively (P < .01). Hay‐type cultivars NuMex Bill Melton and WL 440HQ enhanced the forage mixture nutritive value more than the grazing‐type Falcata–Rhizoma blend, mainly driven by greater alfalfa growth. Interseeding alfalfa into native grasses in wide rows can increase the efficiency of water use (lower WF) by enhancing forage nutritive value at low MC, thereby inducing a minimal trade‐off in soil water consumption.
Genome‐wide association study to identify single nucleotide polymorphisms associated with Fe, Zn, and Se concentration in field pea
Authors: Dissanayaka Dilanganie N. , Gali Krishna K. , Jha Ambuj B. , Lachagari V.B. Reddy , Warkentin Thomas D. 
Published: April 2020

AbstractMicronutrients are an important component of crop quality. With an objective of identification of trait‐associated single nucleotide polymorphism (SNP) markers, a genome‐wide association study (GWAS) panel of 135 diverse pea (Pisum sativum L.) accessions previously genotyped was assessed for Fe, Zn, and Se concentrations from five location–years (2013 Saskatoon, 2014 Fargo, 2015 Saskatoon, 2016 Saskatoon, and 2016 Rosthern) using atomic absorption spectroscopy (AAS). Accessions differed significantly for Fe and Zn in all location–years but not for Se (P ≤ .05). Year and location effects were significant for all three micronutrients. Mean concentration in the five location–years combined analysis was 50.70, 29.42, and 0.99, and the concentration (μg g−1) ranged from 29.22 to 90.53, 12.83 to 51.47, and 0.22 to 7.82 in the ground whole pea seeds for Fe, Zn, and Se, respectively. In general, pea grain yield was negatively correlated with Fe, Zn, and Se concentration. Of the 16,877 SNP markers used for association analysis, five each were identified for association with Fe and Zn concentrations. In silico validation identified that one Fe‐associated and four Zn‐associated markers were within the genomic regions of major quantitative trait loci (QTL) previously reported for these traits. Fe‐associated marker Chr5LG3_204123886 and Zn‐associated markers Chr5LG3_1921113554, Chr5LG3_197808492, and Sc4026_15361 identified in this study and validated using the previous GWAS and biparental mapping studies can be used for reliable marker‐assisted selection (MAS) in pea breeding programs.
Electrochemical Sensing of Flutamide Contained in Plasma and Urine Matrices Using NiFe2O4/rGO Nanocomposite, as an Efficient and Selective Electrocatalyst
Authors: Ensafi Ali Asghar , Talkhooncheh Bahareh Mandian , Zandi‐Atashbar Navid , Rezaei Behzad 
Published: April 2020

AbstractIn this article, we report on the synthesis and new employment of magnetic nickelferrite oxide nanoparticles decorated reduced graphene oxide (NiFe2O4/rGO) to electrochemically sensing of flutamide. The preparation of this electrocatalyst was first assessed using various analytical instrumental techniques including FT‐IR spectroscopy, X‐ray diffraction spectroscopy, energy‐dispersive X‐ray spectroscopy, and field emission scanning and transmission electron microscopy. Besides, its electrochemical performance was investigated utilizing some electrochemical methods such as cyclic and differential pulse voltammetry, and also electrochemical impedance spectroscopy. The findings of this research are especially relevant for sensing flutamide in aqueous and biological samples. At the optimized conditions, the electrochemical sensor showed a linear range of 0.24–40.0 μmol L−1, the detection limit of 0.05 μmol L−1 flutamide, calibration sensitivity of 1.016 μA/μmol L−1, and repeatability and reproducibility of 1.7 % and 4.1 %, respectively. The selectivity of the method was investigated in the presence of ions, and species can generally exist in the biological medium. The resulting data of the present work represented that this type of magnetic nanocomposites is suitable for selective detection of flutamide in real samples of plasma and urine. The recoveries obtained for flutamide analyses represented lower than 5.0 percent of relative error in these real samples.
Expression profile of the carbon reserve remobilization from the source to sink in rice in response to soil drying during grain filling
Authors: Wang Guanqun , Li Haoxuan , Gong Yulong , Yang Jianchang , Yi Yake , Zhang Jianhua , Ye Nenghui 
Published: April 2020

AbstractModerate soil drying (MD) applied during the mid‐to‐late grain filling stages can promote carbon reserve remobilization in straws (sheaths and stems) and increase the grain weight. The coordination between starch‐to‐sucrose transition in straws and sucrose‐to‐starch conversion in inferior grains is essential for carbon reserve remobilization during grain filling. Herein, to reveal the regulating mechanism of carbon reserve remobilization from source to sink, RNA‐seq was utilized to analyze the dynamic transcript profile in source and sink of rice under MD treatment during grain filling. The expression of amylase genes and amylase activity was enhanced by MD treatment in straws, which is consistent with the increased amylase activity. In inferior grains, it was starch synthesis genes that were upregulated by MD treatment. Furthermore, an elevated ABA was found in both straws and inferior grains, which was caused by an increased expression of NCED1 and downregulation of ABA8OX2 by MD treatment, respectively. Additionally, the expression of MYB30, a transcription factor (TF) that negatively regulates beta‐amylase genes, was reduced in straws by MD, resulting in an increased amylase activity. In contrast, an increased expression of NAC activated the expressions of starch synthesis gene in inferior grains under MD. Therefore, it is MYB30 and NAC that cooperates in source and sink, respectively, to promote carbon reserve remobilization in response to MD. Taken together, genes involved in carbon flow from source to sink are different between rice straws and inferior grains.
Empirically derived dietary patterns and obesity among Iranian Adults: Yazd Health Study‐TAMYZ and Shahedieh cohort study
Authors: Sarkhosh‐Khorasani Sahar , Mozaffari‐Khosravi Hassan , Mirzaei Masoud , Nadjarzadeh Azadeh , Hosseinzadeh Mahdieh 
Published: April 2020

AbstractThe aim was to determine the relationship between dietary patterns derived by principal component analysis (PCA) in association with obesity from a large group of Iranian adults in the urban and suburb areas. A cross‐sectional study was conducted on 10,693 Iranian adults. The data were collected from two cohort studies: Shahedieh city annexed to Yazd area as well as Yazd Health Study (YaHS)‐TAMYZ (Yazd Nutrition Survey in Persian) in urban area. Dietary intakes were assessed using a validated semi‐quantitative food frequency questionnaire. The PCA was applied to identify the dietary patterns. Multiple logistic regressions were run to assess the relationship between dietary patterns and obesity. In Shahedieh cohort study, three major dietary patterns were identified traditional, unhealthy, and prudent pattern. Prudent pattern was associated with lower odds of obesity (OR: 0.68; 95% CI: 0.53, 0.88). Higher adherence to the unhealthy (OR: 1.24; 95% CI: 1.02, 1.50) and traditional (OR: 1.38; 95% CI: 1.11, 1.72) patterns was related to greater odds of obesity. Moreover, we identified traditional and unhealthy dietary patterns in YaHS study. Higher adherence to the unhealthy dietary pattern was associated with greater odds of obesity (OR: 1.21 95% CI: 1.02, 1.44). Greater adherence to unhealthy dietary patterns was associated with higher odds of obesity in participants. Greater adherence to traditional and prudent dietary patterns increased and decreased the obesity odds, respectively. Further prospective studies are needed to find out the causal relationship between the variables.
Digitalisierung im Infrastrukturbau – Baubetriebliche Entwicklungen
Authors: Goger Gerald , Bisenberger Tobias 
Published: April 2020

AbstractTransport infrastructure is a fundamental cornerstone for mobility of the population and also functions as a motor for the economy. New digital methods along the value chain will be used to digitally support the process in the future, from the very first project idea, through tendering and construction to the maintenance of infrastructure projects. The four levers of digital transformation – data, automation, networks and access – will have a significant impact on this process in infrastructure construction. Networking of data sources and storage of data in off‐grid databases is already possible, a development which enables project participants to analyse the construction data, process it and at the same time use it as a documentation basis during the development phase and for later maintenance measures. Such a well‐founded digital database can be used to evaluate, optimize and completely document construction‐related processes. This paper deals with various digital application areas in infrastructure construction and provides an overview of digitalisation developments in this field.
Digitale Baugrundmodelle im Tunnelbau – Status, Chancen und Risiken
Authors: Weil Jonas 
Published: April 2020

AbstractDigital data acquisition and processing in geology and geotechnics are essential in all phases of a tunnelling project. This article describes typical work flows of engineering geology and the digital tools used, and discusses the requirements, chances and risks associated with the integration of ground models into BIM projects. The handling of factual data is depicted, but the main topic is the development and application of interpreted geological models for tunnelling. Aspects like the transferred information and its localisation, uncertainty of a prediction and requirements for formats, data structures and software environment are discussed. Efficient exchange and long‐term usability of information demands clear definitions for the specialist models and use cases to be covered.
Astrocytes shape the plastic response of adult cortical neurons to vision loss
Authors: Hennes Maroussia , Lombaert Nathalie , Wahis Jérôme , Van den Haute Chris , Holt Matthew G. , Arckens Lutgarde 
Published: April 2020

AbstractAstrocytes are vital for preserving correct brain functioning by continuously sustaining neuronal activity and survival. They are in contact with multiple synapses at once allowing the expansion of local synaptic events into activity changes in neuronal networks. Furthermore, cortical astrocytes integrate local sensory inputs and behavioral state. From an anatomical, molecular, and functional perspective, astrocytes are thus ideal candidates to influence complex large‐scale brain mechanisms such as plasticity. We collected evidence for the astrocytic potential for plasticity modulation, using the monocular enucleation (ME) mouse model of visual cortex plasticity. The impact of one‐eyed vision involves the functional recruitment of the deprived visual cortex by the spared senses within a 7‐week time frame, reflecting a substantial change in sensory information processing. In visually deprived cortex, a swift upregulation in Aldh1l1‐positive astrocyte density lasts until maximal functional recovery is reached. Transient metabolic silencing of visual cortex astrocytes at the time of ME induction, through intracranial fluorocitrate injections, reveals that astrocytes are required on site to achieve adequate long‐term neuronal reactivation. In addition, chronic stimulation by Gi but not Gq G‐protein coupled receptor activation of local astrocytes boosts the cortical plasticity phenomenon. Hence, functional manipulation of protoplasmic astrocytes has long‐lasting effects on the functional recovery of cortical neurons upon sensory loss, possibly by influencing the neuronal threshold to reactivate. Together, our results highlight an integral role for astrocytes in mediating adult cortical plasticity and unmask astrocyte specific Gi signaling as an interesting therapeutic pathway for brain plasticity regulation.