bluuebunny/crossref_metadata_2025_split huggingface dataset:
PAULO HENRIQUES BRITTO E A ANGÚSTIA DO SENTIDO
Authors: Veras Eduardo Horta Nassif 
Published: November 2018

<p class="MsoNormal" style="margin-top: 12.0pt; margin-right: 0cm; margin-bottom: 12.0pt; margin-left: 0cm;"><span style="font-size: 12.0pt; font-family: " lang="FR">Este artigo apresenta uma análise da poética de Paulo Henriques Britto inspirada na noção de “angústia do sentido”, empregada pelo crítico Marcos Siscar em suas análises da crise da poesia moderna e, mais especificamente, das principais linhas de força da poesia contemporânea no Brasil. Com foco nos três últimos livros do poeta, pretende-se mostrar que sua poesia se estrutura em torno da problematização dos limites da poesia e da linguagem em geral. </span></p>
A EMERGÊNCIA DE ABRIL EM O NOME DAS COISAS (1977), DE SOPHIA DE MELLO BREYNER ANDRESEN
Authors: Roani Gerson Luiz , Machado Rodrigo Corrêa 
Published: November 2018

<p class="MsoNormalCxSpFirst" style="margin-top: 12.0pt; margin-right: 0cm; margin-bottom: 12.0pt; margin-left: 0cm; mso-add-space: auto; text-align: justify;">Sophia de Mello Breyner Andresen é considerada como um dos grandes nomes na lírica portuguesa contemporânea devido à grande qualidade de sua produção poemática. Os poemas andresenianos possuem uma forte consciência social e política, caracterizando o comprometimento com o Outro como uma das grandes linhas de força da escrita efetuada pela autora. Sendo assim, o presente trabalho tem como objetivo estudar as aproximações existentes entre poesia, História e memória na obra andreseniana <em>O Nome das Coisas</em> (1977). Para tanto, nos propomos à análise de poemas referentes à Revolução dos Cravos, à deposição do totalitarismo português, e aos desdobramentos de tal sublevação lusitana. </p>
“MÚSICA E PENSAMENTO”: ACERCA DA APRECIAÇÃO MUSICAL NO ENSAIO “MANEIRAS DE OUVIR MÚSICA” DE FIDELINO DE FIGUEIREDO
Authors: Reis Flavio Antonio Fernandes 
Published: November 2018

<p>Apresentamos considerações acerca de um dos ensaios do livro <em>Música e pensamento, </em>intitulado “Maneiras de ouvir música”, analisando os pressupostos do texto em relação à musica e a sua apreciação. Com isso, buscamos trilhar os caminhos do ensaio de Fidelino de Figueiredo nos domínios da apreciação musical, inquirindo as linhas de força que atravessam suas considerações acerca do recebimento da música. Mais, buscamos investigar usos intelectuais da música e seu valor cultural na reflexão de Fidelino sobre o pensamento e a música.</p><p> </p>
A novel isoprimeverose‐producing enzyme from Phaeoacremonium minimum is active with low concentrations of xyloglucan oligosaccharides
Authors: Matsuzawa Tomohiko , Kameyama Akihiko , Yaoi Katsuro 
Published: November 2018

Xyloglucan is one of the major polysaccharides found in the plant cell wall and seeds. Owing to its complex branched structure, several different hydrolases are required to degrade it. Isoprimeverose‐producing enzymes (IPase) are unique among the glycoside hydrolase 3 family in that they recognize and release a disaccharide from the nonreducing end of xyloglucan oligosaccharides. Only two IPases have been previously isolated and characterized. A novel IPase from Phaeoacremonium minimum (PmIPase) was expressed and characterized. The xylopyranosyl residue at the nonreducing end of xyloglucan oligosaccharides was essential for hydrolytic activity, and PmIPase was unable to hydrolyze cellobiose into d‐glucose. PmIPase had a Km for xyloglucan oligosaccharide substrate that was much lower than that of the reported IPase isolated from Aspergillus oryzae. This indicates that PmIPase was able to produce isoprimeverose efficiently from low concentrations of xyloglucan oligosaccharides. PmIPase also exhibited transglycosylation activity and was able to transfer isoprimeverose units to its substrates.
Heat induces myogenic transcription factors of myoblast cells via transient receptor potential vanilloid 1 (Trpv1)
Authors: Obi Syotaro , Nakajima Toshiaki , Hasegawa Takaaki , Nakamura Fumitaka , Sakuma Masashi , Toyoda Shigeru , Tei Chuwa , Inoue Teruo 
Published: November 2018

Exercise generates heat, blood flow, and metabolic changes, thereby inducing hypertrophy of skeletal muscle cells. However, the mechanism by which heat incudes hypertrophy in response to heat is not well known. Here, we hypothesized that heat would induce differentiation of myoblast cells. We investigated the underlying mechanism by which myoblast cells respond to heat. When mouse myoblast cells were exposed to 42 °C for over 30 min, the phosphorylation level of protein kinase C (PKC) and heat shock factor 1 (Hsf1) increased, and the mRNA and protein expression level of heat shock protein 70 (Hsp70) increased. Inhibitors of transient receptor potential vanilloid 1 (Trpv1), calmodulin, PKC, and Hsf1, and the small interfering RNA‐mediated knockdown of Trpv1 diminished those heat responses. Heat exposure increased the phosphorylation levels of thymoma viral proto‐oncogene 1 (Akt), mammalian target of rapamycin (mTOR), eukaryotic translation initiation factor 4E binding protein 1 (Eif4ebp1), and ribosomal protein S6 kinase, polypeptide 1 (S6K1). The knockdown of Trpv1 decreased these heat‐induced responses. Antagonists of Hsp70 inhibited the phosphorylation level of Akt. Finally, heat increased the protein expression level of skeletal muscle markers such as myocyte enhancer factor 2D, myogenic factor 5, myogenic factor 6, and myogenic differentiation 1. Heat also increased myotube formation. Knockdown of Trpv1 diminished heat‐induced increases of those proteins and myotube formation. These results indicate that heat induces myogenic transcription factors of myoblast cells through the Trpv1, calmodulin, PKC, Hsf1, Hsp70, Akt, mTOR, Eif4ebp1, and S6K1 pathway. Moreover, heat increases myotube formation through Trpv1.
Assets in Pension Funds
Authors: Bowie David 
Published: November 2018

AbstractOne of the key decisions for members of funded pension schemes is how the accrued fund and contributions into the fund are invested. The investment decision typically results in some form of risk sharing between the members and the sponsor in terms of (i) the level of contributions required to pay for all promised benefits or deliver an appropriate level of retirement income, (ii) the volatility of contributions required, and (iii) the uncertainty of the level of benefits.This article describes broadly what assets are available to those making pension scheme investment decisions and why those assets may be appropriate for pension schemes in principle. In practice, the approaches used to construct portfolios and the context in which they are considered will affect the suitability or otherwise of the asset classes.
Bootstrap Methods: The Classical Theory and Recent Development
Authors: Wang Honglang , Tu Wanzhu 
Published: November 2018

AbstractBootstrap is aresamplingmethod for statisticalinference. Under fairly general conditions, the technique can be used to approximate sampling distributions of almost any statistics, by recycling data from the observed sample, that is, resampling. In this article, we review the theoretical tenets of bootstrapping, focusing primarily on the fundamental property ofconsistency, while showing examples where lack of consistency can lead to failures of the method. We also describe residual and pairs bootstrap methods in linear models, as well as their applications in low‐ and high‐dimensional problems. Finally, we discuss a modified bootstrap procedure in big data situations.
Repeated Measures Design for Enhancing Precision in Sports Research
Authors: Verma J. P. 
Published: November 2018

AbstractThis article discusses the application of repeated measures designs in sports research, which can be a useful tool to control variability in numerous situations. The repeated measures designs can be used in two situations: first, in a longitudinal study where each subject is tested repeatedly after a given time interval, and second where each subject is tested in all the treatment conditions. The procedure of solving two‐way repeated measures design has been discussed by means of Illustration using IBM SPSS software ver. 22. Furthermore, the issue of sample size determination has also been discussed for facilitating the researchers to determine the sample size in their experiments for a specific power. The repeated measures designs are of particular utility in situations where subject variability is an issue and obtaining a large sample is problematic and/or difficult.
Web Survey
Authors: Silber Henning , Daikeler Jessica , Weidner Linus , Bosnjak Michael 
Published: November 2018

AbstractWeb surveys are one of the many data collection modes that offer the opportunity to collect high‐quality survey data. Their most important strengths are the ease of usage, the implementation of complex survey designs, tailored experimental manipulations, and the collection of a vast range of paradata. However, web surveys also have specific limitations regarding coverage and sampling. This article aims to classify the web survey mode using three segments. First, it describes the characteristics of web surveys. Second, it provides evidence‐based information, which is relevant to the implementation and survey design of web surveys. Finally, current and future developments such as mobile surveys and data fusion – the combination of survey data with other data sources – are discussed.
Bayesian Analysis of Gravitational Wave Data
Authors: Meyer Renate , Russel Patricio Maturana 
Published: November 2018

AbstractBayesian inferential methods have become increasingly important for the analysis of gravitational wave (GW) measurements since the very first detection of GWs from a black hole merger in 2015 by Advanced LIGO. GWs are ripples in the curvature of space–time that propagate outward from their source at the speed of light. The GW amplitudes from astrophysical objects are extremely small when they reach earth, which makes their detection a huge challenge. Nested sampling algorithms, thermodynamic integration, and reversible jump algorithms play an important role in signal detection and model selection. Markov chain Monte Carlo methods for parameter estimation have been developed and implemented in a dedicated software library LALInference to sample from the posterior distribution of the waveform parameters from various astrophysical sources such as mergers of binary inspirals, pulsars, supernova burst signals, and the stochastic background. Accurate noise characterization is important, especially for the future space‐based interferometer LISA. To this end, nonparametric Bayesian methods have been developed for estimating the spectral density function of the GW measurements.
A Survey of Statistics in the Neurological Sciences with a Focus on Human Neuroimaging
Authors: Caffo Brian , Zhao Yi , Eloyan Ani , Wang Zeyi , Mejia Amanda , Lindquist Martin 
Published: November 2018

AbstractNeuroscience is a vast subject; understanding the brain is one of the most complex, deep, and challenging tasks in all of science. In this article, we survey statistical contributions to the field of neuroscience, though focus heavily on human brain imaging. Statistics has made fundamental contributions in the processing and analysis of neuroscience and neuroimaging data. Contributions range from processing the measurements of new technologies to analyzing large groups of subjects and inference on the impact of behavior or disease. Developments in statistical algorithms and signal processing help in the pipeline that takes raw images and converts them to those used for diagnosis or research. Statistics has provided key protections from type I errors for the high‐dimensional spatially correlated and complex data arising in this domain. In addition, novel modeling and testing approaches have allowed researchers to perform inference for this challenging data. We end the article with recommendations for statisticians and other quantitative scientists to get involved in this exciting and rapidly evolving field.
Exact Inference Methods for Rare Events
Authors: Liu Dungang , Liu Regina , Xie Min‐ge 
Published: November 2018

AbstractMeta‐analysis is often used to examine possible association between an intervention and adverse effects in drug safety studies, as a single study is almost powerless in detecting signals owing to the rareness of adverse events. For discrete and sparse data as such, the use of traditional meta‐analysis methods, which rely on large‐sample theories and continuity corrections for zero events, may substantially bias inference and increase the chance of false positives. This article reviews exact inference methods appropriate for analyzing rare events data.
Electricity Demand Forecasting
Authors: Cugliari Jairo , Poggi Jean‐Michel 
Published: November 2018

Abstract
In this article, the focus is on short‐term demand forecasting at some aggregate level (e.g., zone or nationwide demands) from data with at least hourly sampled data. The main salient features of the load curve are first highlighted. Some of the common covariates used in the prediction task are also discussed. Then, some basic or now classical methodological approaches for electricity demand forecasting are detailed. Finally, a presentation of new and open problems is postponed to the last section.
Text Analysis: An Overview
Authors: Zavarrone Emma , Grassia Maria G. 
Published: November 2018

AbstractThis article deals with the evolution of the text analysis. The word “text” comes from the past participle of the Latin verbtextere, a word with a deep and ancient word structure, which means to weave, to link, and put together a series of elements. The text can be analyzed by content analysis, and there are at least two approaches: qualitative and quantitative. In this article, the main differences have been explained.
Sequential Design of Computer Experiments
Authors: Ginsbourger David 
Published: November 2018

AbstractNumerical simulations are increasingly used in science and society for the study of complex systems, be it as a complement or a substitute to classical experiments. The design of computer experiments has become a research fieldper se, complementing the legacy of classical experimental design while accounting for novel specificities. Sequentiality is essential in many of the goal‐oriented design approaches that have flourished in such framework.
The Protective Estimator: A Tool for Longitudinal Analysis with Missing Data
Authors: Belli Hayley M. , Troxel Andrea B. 
Published: November 2018

AbstractMissing data occurs commonly in longitudinal studies. When data are missing at random, full‐likelihood approaches may be used for analysis. However, when the missing observations are nonignorable and nonmonotone, a full‐likelihood approach may yield inconsistent estimates. To correct for any bias that may arise in longitudinal studies with nonignorable missing data, various modeling strategies have been introduced, including selection, pattern‐mixture, and shared‐parameter models. However, because these classes of joint models explicitly model the nonignorable missingness mechanism, they require strong and unverifiable assumptions to guarantee model identifiability. To avoid this, the protective estimator has been proposed as an approach to analyze longitudinal data subject to nonignorable, nonmonotone missingness. The protective estimator avoids estimating the nonignorable missing data by utilizing a key assumption: the probability that a response is missing at any instance depends on the value of the variable alone in an unspecified way. In this article, we introduce the protective estimator and present its mathematical framework. We elaborate on advantages and disadvantages of the modeling approach and review examples of the protective estimator used in practice across the literature.
Charlier,CarlV.L.
Authors: Guttorp Peter , Lindgren Georg 
Published: November 2018

AbstractCarl Charlier was a Swedish astronomer and statistician. He was influential in making mathematical statistics a university subject in Sweden. His main statistical contribution was the Gram‐Charlier expansions of continuous (Type A) and discrete (Type B) distributions. In astronomy he successfully created a hierarchical galaxy cluster model.
Atmospheric Pressure Cold Plasma: A Friendly Environment for Dry Enzymes
Authors: Fanelli Fiorenza , Fracassi Francesco , Lapenna Annamaria , Angarano Valeria , Palazzo Gerardo , Mallardi Antonia 
Published: November 2018

AbstractA comprehensive study of the interaction of cold atmospheric pressure plasmas (CAPs) with dry enzymes is conducted to identify the experimental conditions that allow preserving enzyme functionality. Glucose oxidase (GOx) dry deposits are exposed to dielectric barrier discharges fed with pure helium, helium–oxygen, and helium–ethylene mixtures. The GOx loses functionality upon exposure to He/O2 CAP due to dry etching. X‐ray photoelectron spectroscopy reveals that, in parallel with the ablation, there are modifications of the chemical structure of the surface of the enzyme deposit that decrease the etching rate and eventually lead to a “crust” with a strong resistance against the ablation, responsible of process termination. Interestingly, the customary conditions used for plasma‐enhanced chemical vapor deposition using helium–ethylene mixtures (applied voltage <1.1 kVrms and exposure time ≤10 min) are friendly for GOx. It is therefore possible to immobilize enzymes by overcoating with a plasma‐deposited thin film, fully retaining enzyme functionality.
Absence of Charge Transfer State Enables Very LowVOCLosses in SWCNT:Fullerene Solar Cells
Authors: Classen Andrej , Einsiedler Lukas , Heumueller Thomas , Graf Arko , Brohmann Maximilian , Berger Felix , Kahmann Simon , Richter Moses , Matt Gebhard J. , Forberich Karen , Zaumseil Jana , Brabec Christoph J. 
Published: November 2018

AbstractCurrent state‐of‐the‐art organic solar cells (OSCs) still suffer from high losses of open‐circuit voltage (VOC). Conventional polymer:fullerene solar cells usually exhibit bandgap toVOClosses greater than 0.8 V. Here a detailed investigation ofVOCis presented for solution‐processed OSCs based on (6,5) single‐walled carbon nanotube (SWCNT): [6,6]‐phenyl‐C71‐butyric acid methyl ester active layers. Considering the very small optical bandgap of only 1.22 eV of (6,5) SWCNTs, a highVOCof 0.59 V leading to a lowEgap/q−VOC= 0.63 V loss is observed. The low voltage losses are partly due to the lack of a measurable charge transfer state and partly due to the narrow absorption edge of SWCNTs. Consequently,VOClosses attributed to a broadening of the band edge are very small, resulting inVOC,SQ−VOC,rad= 0.12 V. Interestingly, this loss is mainly caused by minor amounts of SWCNTs with smaller bandgaps as well as (6,5) SWCNT trions, all of which are experimentally well resolved employing Fourier transform photocurrent spectroscopy. In addition, the low losses due to band edge broadening, a very low voltage loss are also found due to nonradiative recombination, ΔVOC,nonrad= 0.26 V, which is exceptional for fullerene‐based OSCs.
Asymmetric Brook Rearrangement
Authors: Lee Nicholas , Tan Choon‐Hong , Leow Dasheng 
Published: November 2018

AbstractAlthough the Brook rearrangement has been discovered over fifty years ago, there remains significant opportunities for chemists to make new discoveries relating to this reaction. Majority of the examples in the literature report Brook rearrangements using racemic starting materials. In this Focus Review, we highlight asymmetric variants of Brook rearrangements, focusing on enantioselective and enantiospecific examples.
Silver‐Catalyzed Stereoselective trans Addition of 4‐Hydroxycoumarins to Haloalkynes and Late‐Stage Nitration
Authors: Hong Xianfang , Ma Fang , Zha Dandan , Li Hongji 
Published: November 2018

AbstractAn efficient silver‐catalyzed stereoselective trans‐addition of 4‐hydroxycoumarins to haloalkynes under ambient air is described, allowing the straightforward synthesis of vinyl halides. The late‐stage nitration of the resulting products with silver nitrate proceeded with retention of configuration, affording a series of nitroalkenes in good yields. Additionally, DFT calculations were employed for mechanistic studies, and a possible mechanism for the Ag(I)‐catalyzed addition was proposed.
Organocatalytic Asymmetric One‐Step Desymmetrizing Dearomatization Reaction of Indoles: Development and Bioactivity Evaluation
Authors: Peng Lei , Xu Da , Yang Xiaohong , Tang Jiakun , Feng Xuli , Zhang Shao‐Lin , Yan Hailong 
Published: November 2018

AbstractAn organocatalytic one‐step desymmetrizing dearomatization reaction of indoles with in situ formed vinylidene ortho‐quinone methides is reported. A set of [6‐6‐5] and/or [5‐6‐5] fused indoline heterocycles were obtained in excellent yields with excellent diastereoselectivities (>20:1 d.r.) and enantioselectivities (up to 99 % ee). Moreover, some of the obtained products were screened against a panel of cancer cell lines, and one was identified to inhibit the proliferation of all the tested cancer cells, but showed marginal effects against non‐cancerous cells. The methodology provides a platform for the synthesis of new leading compounds with antitumor activity.
Lichtinduziertes Schalten der Leitfähigkeit von MOFs mit eingelagertem Spiropyran
Authors: Garg Shubham , Schwartz Heidi , Kozlowska Mariana , Kanj Anemar Bruno , Müller Kai , Wenzel Wolfgang , Ruschewitz Uwe , Heinke Lars 
Published: November 2018

AbstractLeitfähige metallorganische Gerüstverbindungen (MOFs) und intelligente, durch verschiedene Stimuli anregbare MOFs werden aktuell intensiv aufgrund ihrer Eignung in der Energiegewinnung und ‐speicherung sowie Signalverarbeitung untersucht. In der vorliegenden Arbeit wurde die elektronische Leitfähigkeit von MOF‐Filmen des Typs UiO‐67 mit eingelagertem photoschaltbaren nitro‐substituierten Spiropyran untersucht. Bei Bestrahlung mit UV‐Licht kommt es zur reversiblen Isomerisierung des Spiropyrans (SP) von seiner geschlossenen SP‐Form in die offene Merocyanin(MC)‐Form. Bei letzterem handelt es sich um ein zwitterionisches Molekül mit einem delokalisierten konjugierten π‐Elektronensystem. Wir konnten zeigen, dass diese lichtinduzierte SP‐zu‐MC‐Isomerisierung zur gezielten Steuerung der Leitfähigkeit dieses SP@UiO‐67‐Films führt, wobei die elektrische Leitfähigkeit um eine Größenordnung erhöht werden konnte. Diese Ergebnisse werden zur Entwicklung einer neuen Generation photoelektronischer Bauteile auf Basis intelligenter Hybridmaterialien beitragen.
Low Valent Magnesium Chemistry with a Super Bulky β‐Diketiminate Ligand
Authors: Gentner Thomas Xaver , Rösch Bastian , Ballmann Gerd , Langer Jens , Elsen Holger , Harder Sjoerd 
Published: November 2018

AbstractThe steric bulk of the well‐known DIPPBDI ligand (CH[C(CH3)N‐DIPP]2, DIPP=2,6‐diisopropylphenyl) was increased by replacing isopropyl for isopentyl groups. This very bulky DIPePBDI ligand could not stabilize the radical species (DIPePBDI)Mg.: reduction of (DIPePBDI)MgI with Na gave (DIPePBDI)2Mg2 with a rather long Mg‐Mg bond of 3.0513(8) Å. Addition of TMEDA prior to reduction gave complex (DIPePBDI)2Mg2(C6H6), which could also be obtained as its THF adduct. It is speculated that combination of a bulky spectator ligand and TMEDA prevents dimerization of the intermediate MgI radical, which then reacts with the benzene solvent. Complex (DIPePBDI)2Mg2(C6H6), which formally contains the anti‐aromatic anion C6H62−, reacted with tBuOH as a Brønsted base to 1,3‐ and 1,4‐cyclohexadiene and with H2 as a two electron donor to (DIPePBDI)2Mg2H2 and C6H6. It also reductively cleaved the C−F bond in fluorobenzene and gave (DIPePBDI)MgPh, (DIPePBDI)MgF, and C6H6.