bluuebunny/crossref_metadata_2025_split huggingface dataset:
Zuverlässigkeitsanalyse für biegebeanspruchte Textilbetonbauteile
Authors: Rempel Sergej , Ricker Marcus , Hegger Josef 
Published: February 2020

AbstractZur Realisierung der bisherigen Bauprojekte mit textiler Bewehrung wurden Zustimmungen im Einzelfall (ZiE) und allgemeine bauaufsichtliche Zulassungen (abZ) benötigt, wofür ausführliche, kosten‐ sowie zeitintensive Tragfähigkeits‐ und Gebrauchstauglichkeitsuntersuchungen durchgeführt werden mussten. Dabei waren vor allem Untersuchungen zur Biegetragfähigkeit notwendig. Damit in Zukunft die Anzahl der Versuche deutlich reduziert werden kann, ist ein praxistaugliches Biegebemessungsmodell erforderlich. Neben der Anwenderfreundlichkeit sollen diese Biegebemessungsmodelle alle Anforderungen an die Zuverlässigkeit erfüllen, damit die Tragwerke das von der Gesellschaft und den Nutzern geforderte Sicherheitsniveau erreichen. Durch probabilistische Berechnungen sind in Abhängigkeit von der Qualität der verfügbaren stochastischen Modelle für die Eingangsparameter quantitative Aussagen zur Versagenswahrscheinlichkeit möglich. Damit eine allgemeine Aussage zur Zuverlässigkeit von biegebeanspruchten Betonbauteilen mit textiler Bewehrung möglich ist, sind die verschiedenen Einflussparameter, wie z. B. statische Nutzhöhe d, Textilbruchspannung ft oder Betondruckfestigkeit fc, innerhalb des praktischen Anwendungsbereichs zu variieren. Als Resultat dieser Betrachtungen kann ein für den praktischen Anwendungsbereich gültiger Teilsicherheitsbeiwert γT für eine textile Bewehrung in biegebeanspruchten Betonbauteilen angegeben werden, der das geforderte Sicherheitsniveau erreicht. In diesem Beitrag werden die probabilistischen Berechnungen vorgestellt und ein Teilsicherheitsbeiwert γT für die textile Bewehrung vorgeschlagen.
Engineering Pichia pastoris to improve S‐adenosyl‐l‐methionine production using systems metabolic strategies
Authors: Qin Xiulin , Lu Junjie , Zhang Yin , Wu Xiaole , Qiao Xuefeng , Wang Zhipeng , Chu Ju , Qian Jiangchao 
Published: February 2020

AbstractS‐adenosyl‐l‐methionine (SAM) is a highly valued chemical that can be used as a dietary supplement and has been used to treat depression, osteoarthritis, and liver problems as well. We adopted systems metabolic engineering strategies to improve SAM production in a high‐producing strain (GS115/DS56). First, the cystathionine β‐synthase gene CYS4 was downregulated using a weak promoter PG12 to reduce the removal of homocysteine from SAM cycle, thus leading to a 48.8% increase in the SAM titer (1.68 g/L) from the strain G12‐CBS, while preventing cysteine auxotrophy induced by deletion of this essential gene. Subsequently, the SAM titer of G12‐CBS was improved to 13.01 g/L in 15‐L fed‐batch fermentation using the optimal l‐methionine feeding strategy. Finally, based on comparative transcriptomics, five genes were chosen and overexpressed for further enhancement of SAM production. Among them, GDH2 and ACS2 exhibited positive effects, and the additional overexpression of GDH2 led to a 52.3% increase of titer (2.71 g/L) in shake flask culture. Therefore, the engineered Pichia pastoris strains can be utilized in industrial production of SAM using a simple and cost‐effective process, and these approaches could be employed for improving the production of other chemicals by P. pastoris.
Recurrence following hemithyroidectomy in patients with low- and intermediate-risk papillary thyroid carcinoma
Authors: Ahn D , Lee G J , Sohn J H 
Published: February 2020

AbstractBackgroundThis study evaluated the incidence, patterns and risk factors for recurrence after hemithyroidectomy in patients with low- and intermediate-risk papillary thyroid carcinoma (PTC), and verified the predictive role of the risk staging systems in current use.MethodsThe clinicopathological characteristics and risk categories were analysed according to recurrence in patients who underwent hemithyroidectomy for low- and intermediate-risk conventional PTC, and were followed up for at least 24 months. Five risk staging systems were used to stratify risk: the 2015 American Thyroid Association (ATA) system; Age, Metastases, Extent and Size (AMES) system; Metastases, Age, Complete resection, Invasion and Size (MACIS) system; Grade, Age, Metastases, Extent and Size (GAMES) system; and the eighth AJCC system.ResultsThe study included 561 patients; 93·9 per cent of the study population (527 of 561) had a papillary thyroid microcarcinoma 1 cm or smaller in size. At a mean follow-up of 83 months, 25 patients (4·5 per cent) had recurrence; among these patients, 23 (92%) presented with a remaining thyroid lobe. Multifocality was significantly associated with recurrence in univariable and multivariable analyses (adjusted hazard ratio 3·16, 95 per cent c.i. 1·25 to 7·98; P = 0·015). Disease-free survival (DFS) varied according to multifocality (P = 0·010). The five risk staging systems were not associated with recurrence, and their Harrell's C-index ranged from 0·500 to 0·531. DFS rates did not differ between the risk categories in each system.ConclusionAlthough the recurrence rate after hemithyroidectomy in patients with low- and intermediate-risk PTC was low, meticulous follow-up focusing on the remaining thyroid lobe is needed for early detection and timely management of recurrence. The risk scoring systems in current use have no predictive role in these patients.
Nomogram for predicting overall survival in stage II‐III colorectal cancer
Authors: Liu Jungang , Huang Xiaoliang , Yang Wenkang , Li Chan , Li Zhengtian , Zhang Chuqiao , Chen Shaomei , Wu Guo , Xie Weishun , Wei Chunyin , Tian Chao , Huang Lingxu , Jeen Franco , Mo Xianwei , Tang Weizhong 
Published: February 2020

AbstractPurposeThe overall survival (OS) of patients diagnosed with stage II‐III colorectal cancer (CRC) can vary greatly, even between patients with the same tumor stage. We aimed to design a nomogram to predict OS in resected, stage II‐III CRC and stratify patients with CRC into different risk groups.Patients and MethodsBased on data from 873 patients with CRC, we used univariate Cox regression analysis to select the significant prognostic features, which were subjected to the least absolute shrinkage and selection operator (LASSO) regression algorithm for feature selection. Cross‐validation was used to confirm suitable tuning parameters (λ) for LASSO logistic regression. Then, the nomogram was used to estimate 3‐ and 5‐year OS based on the multivariable Cox regression model. The survival curves of the two groups were produced using the Kaplan‐Meier method. Risk group stratification was performed to assess the predictive capacity of the nomogram.ResultsPreoperative mean platelet volume, preoperative platelet distribution width, monocytes, and postoperative adjuvant chemotherapy were identified as independent prognostic factors by LASSO regression and integrated for the construction of the nomogram. The nomogram provided good discrimination, with C‐indices of 0.67 and 0.69 for the training and validation sets, respectively. Calibration plots illustrated excellent agreement between the nomogram predictions and actual observations for 3‐ and 5‐year OS. Moreover, a significant difference in OS was shown between patients stratified into different risk groups (P < .001).ConclusionWe constructed and validated an original predictive nomogram for OS in patients with CRC after surgery, facilitating physicians to appraise the individual survival of postoperative patients accurately and identify high‐risk patients who need more aggressive treatment and follow‐up strategies.
Genetic association analysis identifies a role for ANO5 in prostate cancer progression
Authors: Yu Chia‐Cheng , Chen Lih‐Chyang , Huang Chao‐Yuan , Lin Victor C. , Lu Te‐Ling , Lee Cheng‐Hsueh , Huang Shu‐Pin , Bao Bo‐Ying 
Published: February 2020

AbstractAnoctamins were originally identified as a family of calcium‐activated chloride channels, but recently their roles in the development of different types of malignancies were suggested. Here, we evaluated the associations between 211 common single‐nucleotide polymorphisms in 10 anoctamin genes with biochemical recurrence (BCR) after radical prostatectomy (RP) for localized prostate cancer. Four SNPs (ANO4 rs585335, ANO5 rs4622263, ANO7 rs62187431, and ANO10 rs118005571) remained significantly associated with BCR after multiple test correction (P < .05 and q = 0.232) and adjustment for known prognostic factors. Expression quantitative trait loci analysis found that ANO5 rs4622263 C and ANO10 rs118005571 C alleles were associated with decreased mRNA expression levels. Moreover, lower expression of ANO5 was correlated with more advanced tumors and poorer outcomes in two independent prostate cancer cohorts. Taken together, ANO5 rs4622263 was associated with BCR, and ANO5 gene expression was correlated with patient prognosis, suggesting a pivotal role for ANO5 in prostate cancer progression.
Improvement of Oxygen‐Depolarized Cathodes in Highly Alkaline Media by Electrospinning of Poly(vinylidene fluoride) Barrier Layers
Authors: Gebhard Marcus , Tichter Tim , Franzen David , Paulisch Melanie C. , Schutjajew Konstantin , Turek Thomas , Manke Ingo , Roth Christina 
Published: February 2020

AbstractOxygen‐depolarized cathodes (ODC) were developed for chlor‐alkali electrolysis to replace the hydrogen evolution reaction (HER) by the oxygen reduction reaction (ORR) providing electrical energy savings up to 30 % under industrially relevant conditions. These electrodes consist of micro sized silver grains and polytetrafluoroethylene, forming a homogeneous electrode structure. In this work, we report on the modification of ODCs by implementing an electrospun layer of hydrophobic poly(vinylidene fluoride) (PVDF) into the ODC structure, leading to a significantly enhanced ORR performance. The modified electrodes are physically characterized by liquid flow porometry, contact angle measurements and scanning electron microscopy. Electrochemical characterization is performed by linear sweep voltammetry and chronopotentiometry. The overpotential for ORR at application near conditions could be reduced by up to 75 mV at 4 kA m−2 and 135 mV at a higher current density of 9.5 kA m−2. Consequently, we propose that modifying ODCs by electrospinning is an effective and cost‐efficient way to further reduce the energy demand of the ORR in highly alkaline media.
Semi‐supervised covariate shift modelling of spectroscopic data
Authors: Larsen Jacob Søgaard , Clemmensen Line , Stockmarr Anders , Skov Thomas , Larsen Anders , Ersbøll Bjarne Kjær 
Published: February 2020

AbstractUtilizing the full potential of spectroscopic calibrations in changing environments typically requires large amounts of maintenance and/or model updates as the presence of new sources of variation makes the calibration insufficient. In this paper, we propose the use of unlabelled data in order to automize such maintenance. We extend the Linear Joint Trained Framework by Ryan and Culp such that the shifts in mean value and covariance structure are modelled explicitly. The extension yields a more flexible framework, and thus we are able to regularize the final calibration in a more desirable manner. The proposed framework is tested on a simulated dataset where we simulate three different realistic scenarios that are either challenging for classic multivariate calibrations or challenging when adding unlabelled data. Furthermore, we test our framework on two real datasets across multiple data splits. We find that our framework not only achieves the same (and in some instances lower) error level as that of the baseline model (NARE), it also yields better calibration models than the Linear Joint Trained Framework.
Spark plasma sintering of alumina/yttria‐doped silicon carbide
Authors: Popolizio Antonio , Biesuz Mattia , Molinari Alberto , Sglavo Vincenzo M. 
Published: February 2020

AbstractSilicon carbide possesses exceptional mechanical and thermal properties, but its densification by conventional sintering is often very difficult. In the present work, silicon carbide was consolidated by spark plasma sintering in the presence of alumina and yttria. The results pointed out that the use of a single oxide does not enhance the sintering kinetics significantly, while the contemporaneous addition of both oxides has a beneficial effect on densification, with a relative density increase of about 10%. Interestingly, the oxide doping allows to double the room‐temperature flexural strength.
N‐Doped Graphdiyne Coating for Dendrite‐Free Lithium Metal Batteries
Authors: Shang Hong , Gu Yu , Wang Yingbin , Zuo Zicheng 
Published: February 2020

AbstractNonuniform nucleation is one of the major reasons for the dendric growth of metallic lithium, which leads to intractable problems in the efficiency, reversibility, and safety in Li‐based batteries. To improve the deposition of metallic Li on Cu substrates, herein, a freestanding current collector (NGDY@CuNW) is formed by coating pyridinic nitrogen‐doped graphdiyne (NGDY) nanofilms on 3D Cu nanowires (CuNWs). Theoretical predictions reveal that the introduction of nitrogen atoms in the 2D GDY can enhance the binding energy between the Li atom and GDY, therefore improving the lithiophilicity on the surface for uniform lithium nucleation and deposition. Accordingly, the deposited metallic Li on the NGDY@CuNW electrode exhibits a dendrite‐free morphology, resulting in significant improvements in terms of the reversibility with a high coulombic efficiency (CE) and a long lifespan at high current density. Our research provides an efficient method to control the surface property of Cu, which also will be instructive for other metal batteries.
One Guest or Two? A Crystallographic and Solution Study of Guest Binding in a Cubic Coordination Cage
Authors: Taylor Christopher G. P. , Argent Stephen P. , Ludden Michael D. , Piper Jerico R. , Mozaceanu Cristina , Barnett Sarah A. , Ward Michael D. 
Published: February 2020

AbstractInvited for the cover of this issue is the group of Michael D. Ward at the University of Warwick. The image depicts structures of the host cage containing one guest or two guests. Read the full text of the article at 10.1002/chem.201905499.
Enhanced and Heteromolecular Guest Encapsulation in Nonporous Crystals of a Perfluorinated Triketonato Dinuclear Copper Complex
Authors: Ikumura Yoshinori , Habuka Yusuke , Sakai Shunichiro , Shinohara Takanori , Yuge Hidetaka , Rzeznicka Izabela I. , Hori Akiko 
Published: February 2020

AbstractThe flexible host framework of a perfluorinated mononuclear copper complex, [Cu(L1)2] (1, HL1=3‐hydroxy‐1,3‐bis(pentafluorophenyl)‐2‐propen‐1‐one), with a CuO4 core reversibly encapsulated several organic guest molecules through electrostatic interactions in its crystals. Hence, the corresponding dinuclear complex, [Cu2(L2)2] (2, H2L2=1,5‐dihydroxy‐1,5‐bis(pentafluorophenyl)‐1,4‐pentadien‐3‐one), was prepared to enhance guest recognition and the ability to separate molecular mixtures. Complex 2 comprises a Cu2O6 core and four pentafluorophenyl groups. In crystal 2, cavities are formed on the axial sites of the metal core that are surrounded by pentafluorophenyl groups. The crystal of 2 encapsulates various guest molecules, that is, benzene (3), toluene (4), xylene (5), mesitylene (6), durene (7), and anisole (8). X‐ray crystallographic and thermogravimetric (TG) studies show that three guest molecules are present in the crystal cavities. The number of guest molecules found in complex 2 was higher than that in complex 1, for example, (2)3⋅(6)10>1⋅(6)2, (2)2⋅(7)7>1⋅7, or 2⋅(8)3>1⋅(8)2. Naphthalene (9), was encapsulated in 2 to give 2⋅(9)3, but not in 1. In the crystal of complex 2, heteromolecular guest encapsulation was confirmed, designated as 2⋅(3)2⋅9. TG analysis indicates that the thermal stability of the guest‐included crystals of 2 is higher than that of 1.
Precursor Design Strategies for the Low‐Temperature Synthesis of Functional Oxides: It's All in the Chemistry
Authors: Marchal Wouter , De Sloovere Dries , Daenen Michael , Van Bael Marlies K. , Hardy An 
Published: February 2020

AbstractSolution‐based (multi)metal oxide synthesis has been carried out employing a large diversity of precursor routes. The selection of an appropriate synthesis strategy is frequently dictated by the resulting material properties, although this choice should also be based on green chemistry principles, atom economy considerations and energy efficiency. In order to limit the required energy budget to convert the chemical precursor to the target oxide material, various approaches were recently reported. This Review summarizes some frequently encountered low‐temperature routes, critically assessing their application window and advantages. More specifically, auto‐combustion synthesis, UV‐assisted decomposition routes, sol–gel network adjustments and precursor complex design concepts are discussed. It is expected that this toolbox of low‐temperature strategies may assist further progress in the field, stimulating novel applications, such as flexible electronics or organic–oxide hybrid materials, which are very sensitive to the temperature requirements.
Tandem Catalysis of Ammonia Borane Dehydrogenation and Phenylacetylene Hydrogenation Catalyzed by CeO2 Nanotube/Pd@MIL‐53(Al)
Authors: Li Xinyu , Song Lianghao , Gao Daowei , Kang Baotao , Zhao Huaiqing , Li Cuncheng , Hu Xun , Chen Guozhu 
Published: February 2020

AbstractHeterogeneously catalyzed, selective hydrogenation in the liquid phase is widely used in industry for the synthesis of chemicals. However, it can be a challenge to prevent active nanoparticles (e.g., palladium) from aggregation/leaching and meanwhile achieve high conversion as well as selectivity, especially under mild conditions. To address these issues, a CeO2 nanotube/Pd@MIL‐53(Al) sandwich‐structured catalyst has been prepared in which the MIL‐53(Al) porous shell can efficiently stabilize the palladium nanoparticles. When this catalyst was used in a tandem catalytic reaction involving the dehydrogenation of ammonia borane and the hydrogenation of phenylacetylene, remarkably, the hydrogen released from the dehydrogenation of ammonia borane boosted the catalytic process, with 100 % conversion of phenylacetylene and a selectivity of 96.2 % for styrene, even at room temperature and atmospheric pressure, within 1 min. This work therefore provides an alternative strategy for balancing the conversion and selectivity of liquid‐phase hydrogenation reactions.
Activation of Aromatic C−F Bonds by a N‐Heterocyclic Olefin (NHO)
Authors: Mandal Debdeep , Chandra Shubhadeep , Neuman Nicolás I. , Mahata Alok , Sarkar Arighna , Kundu Abhinanda , Anga Srinivas , Rawat Hemant , Schulzke Carola , Mote Kaustubh R. , Sarkar Biprajit , Chandrasekhar Vadapalli , Jana Anukul 
Published: February 2020

AbstractA N‐heterocyclic olefin (NHO), a terminal alkene selectively activates aromatic C−F bonds without the need of any additional catalyst. As a result, a straightforward methodology was developed for the formation of different fluoroaryl‐substituted alkenes in which the central carbon–carbon double bond is in a twisted geometry.
Visible‐Light Controlled Divergent Catalysis Using a Bench‐Stable Cobalt(I) Hydride Complex
Authors: Bergamaschi Enrico , Beltran Frédéric , Teskey Christopher J. 
Published: February 2020

AbstractWhile the use of visible light in conjunction with transition metal catalysis offers powerful opportunities to switch between on/‐off states of catalytic activity, the next frontier would be the ability to switch the actual function of the catalyst and resulting products. Here we report such an example of multi‐dimensional catalysis. Featuring an easily prepared, bench‐stable cobalt(I) hydride complex in conjunction with pinacolborane, we can switch the reaction outcome between two widely employed transformations, olefin migration and hydroboration, with visible light as the trigger.
From random to regular: Variation in the patterning of retinal mosaics*
Authors: Keeley Patrick W. , Eglen Stephen J. , Reese Benjamin E. 
Published: February 2020

AbstractThe various types of retinal neurons are each positioned at their respective depths within the retina where they are believed to be assembled as orderly mosaics, in which like‐type neurons minimize proximity to one another. Two common statistical analyses for assessing the spatial properties of retinal mosaics include the nearest neighbor analysis, from which an index of their “regularity” is commonly calculated, and the density recovery profile derived from autocorrelation analysis, revealing the presence of an exclusion zone indicative of anti‐clustering. While each of the spatial statistics derived from these analyses, the regularity index and the effective radius, can be useful in characterizing such properties of orderly retinal mosaics, they are rarely sufficient for conveying the natural variation in the self‐spacing behavior of different types of retinal neurons and the extent to which that behavior generates uniform intercellular spacing across the mosaic. We consider the strengths and limitations of these and other spatial statistical analyses for assessing the patterning in retinal mosaics, highlighting a number of misconceptions and their frequent misuse. Rather than being diagnostic criteria for determining simply whether a population is “regular,” they should be treated as descriptive statistics that convey variation in the factors that influence neuronal positioning. We subsequently apply multiple spatial statistics to the analysis of eight different mosaics in the mouse retina, demonstrating conspicuous variability in the degree of patterning present, from essentially random to notably regular. This variability in patterning has both a developmental as well as a functional significance, reflecting the rules governing the positioning of different types of neurons as the architecture of the retina is assembled, and the distinct mechanisms by which they regulate dendritic growth to generate their characteristic coverage and connectivity.
On automated cloud bursting and hybrid cloud setups using Apache Mesos
Authors: Haugerud Hårek , Xue Noha , Yazidi Anis 
Published: February 2020

SummaryHybrid cloud technology is becoming increasingly popular as it merges private and public clouds to bring the best of two worlds together. However, due to the heterogeneous cloud installation, facilitating a hybrid cloud setup is not simple. Despite some commercial solutions being available to build a hybrid cloud, an open‐source implementation is still unavailable. In this paper, we try to bridge the gap by providing an open‐source implementation using the power of Apache Mesos. We build a hybrid cloud on top of multiple cloud platforms, private and public. Through comprehensive experimental results, we show that our solution is able to ensure resource bursting by leveraging the power of the public cloud.