bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exercise Cardiovascular Magnetic Resonance: A Review
Authors: Trankle Cory R. , Canada Justin M. , Jordan Jennifer H. , Truong Uyen , Hundley W. Gregory 
Published: March 2021

While pharmacologic stress cardiovascular magnetic resonance imaging (MRI) is a robust noninvasive tool in the diagnosis and prognostication of epicardial coronary artery disease, clinical guidelines recommend exercise‐based testing in those patients who can exercise. This review describes the development of exercise cardiovascular MRI protocols, summarizes the insights across various patient populations, and highlights future research initiatives.Level of Evidence5Technical EfficacyStage 2
Effects of online brand communities on millennials' brand loyalty in the fashion industry
Authors: Ozuem Wilson , Willis Michelle , Howell Kerry , Helal Guida , Ranfagni Silvia , Lancaster Geoff 
Published: March 2021

AbstractOnline brand communities are gaining traction in the development of marketing strategy, but it is unclear how the dominant group of users, the millennials, is being targeted with the prevailing and varying customer loyalty programs. Grounded in understanding that loyalty is seen and understood differently by people who participate in online brand communities, this study is based on a constructivist perspective combined with hermeneutic methodology and embedded case study research strategy to examine how online brand communities activate multidimensional customer loyalty intentions. Empirical data were generated through 45 in‐depth interviews of millennials. The analysis proposes a framework that categorizes customer loyalty into ambassador loyalists, public‐voting loyalists, loveless loyalists, and mercenary loyalists. Each stream contains one additional subcategory mediated by consumer levels of participation in online brand communities. This study contributes to existing literature. Unlike extant studies, it specifically argues that customers' loyalty intentions in online brand communities depend on the individuals and context, and it categorizes loyalty into different levels. Practical steps by which companies may utilize these categories and theoretical implications for wider consideration are proposed.
Mass spectrometry and the cellular surfaceome
Authors: Pauwels Jarne , Fijałkowska Daria , Eyckerman Sven , Gevaert Kris 
Published: March 2021

AbstractThe collection of exposed plasma membrane proteins, collectively termed the surfaceome, is involved in multiple vital cellular processes, such as the communication of cells with their surroundings and the regulation of transport across the lipid bilayer. The surfaceome also plays key roles in the immune system by recognizing and presenting antigens, with its possible malfunctioning linked to disease. Surface proteins have long been explored as potential cell markers, disease biomarkers, and therapeutic drug targets. Despite its importance, a detailed study of the surfaceome continues to pose major challenges for mass spectrometry‐driven proteomics due to the inherent biophysical characteristics of surface proteins. Their inefficient extraction from hydrophobic membranes to an aqueous medium and their lower abundance compared to intracellular proteins hamper the analysis of surface proteins, which are therefore usually underrepresented in proteomic datasets. To tackle such problems, several innovative analytical methodologies have been developed. This review aims at providing an extensive overview of the different methods for surfaceome analysis, with respective considerations for downstream mass spectrometry‐based proteomics.
Molecular Weight Distribution in Ring‐Opening Polymerization of Propylene Oxide Catalyzed by Double Metal Complex: A Model Simulation
Authors: Zhao Jing , Li Bo‐Geng , Fan Hong 
Published: March 2021

AbstractIn the present work, method of moments is used to model the molecular weight distribution (MWD) of polypropylene glycol (PPG) produced with ring‐opening polymerization of propylene oxide catalyzed by double metal complex (DMC), and an explicit expression about the polydispersity index (PDI) of PPG is obtained. The simulated results indicate that decreasing the initial concentration ratio of monomer to total chains (K1) or increasing the rate constant ratio of chain transfer to propagation (K2) leads to smaller PDI. Reducing the concentration of DMC can induce larger PDI. When the PPG's initial PDI (i.e., PDI of initiator) increases, PDI of the final PPG grows up linearly. However, with the increase of monomer conversion, PDI increases first and then decreases, that is, there is a critical conversion. The possible lack of chain transfer at the beginning of polymerization and the insufficient chain transfer caused by increased K1, decreased concentration of catalyst, and decreased K2 will cause larger PDI, namely, broad MWD.
15N hyperpolarisation of the antiprotozoal drug ornidazole by Signal Amplification By Reversible Exchange in aqueous medium
Authors: Iali Wissam , Moustafa Gamal A. I. , Dagys Laurynas , Roy Soumya S. 
Published: March 2021

AbstractSignal amplification by reversible exchange (SABRE) offers a cost‐effective route to boost nuclear magnetic resonance (NMR) signal by several orders of magnitude by employing readily available para‐hydrogen as a source of hyperpolarisation. Although 1H spins have been the natural choice of SABRE hyperpolarisation since its inception due to its simplicity and accessibility, limited spin lifetimes of 1H makes it harder to employ them in a range of time‐dependent NMR experiments. Heteronuclear spins, for example, 13C and 15N, in general have much longer T1 lifetimes and thereby are found to be more suitable for hyperpolarised biological applications as demonstrated previously by para‐hydrogen induced polarisation (PHIP) and dynamic nuclear polarisation (DNP). In this study we demonstrate a simple procedure to enhance 15N signal of an antibiotic drug ornidazole by up to 71,000‐folds with net 15N polarisation reaching ~23%. Further, the effect of co‐ligand strategy is studied in conjunction with the optimum field transfer protocols and consequently achieving 15N hyperpolarised spin lifetime of >3 min at low field. Finally, we present a convenient route to harness the hyperpolarised solution in aqueous medium free from catalyst contamination leading to a strong 15N signal detection for an extended duration of time.
Modified TiO2@graphene oxide and montmorillonite synergistically enhanced multifunctional nanocomposite films
Authors: Zhang Jingding , Zhang Ling , Li Chunzhong 
Published: March 2021

AbstractThe application of polymers in packaging is still limited due to the problems of poor gas barrier and flame retardant properties. Herein, a modified TiO2 (m‐TiO2)@graphene oxide (GO)/montmorillonite (MMT) filler‐reinforced polyvinyl alcohol (PVA)‐based nanocomposite films with excellent gas barrier, flame retardant, and mechanical properties is fabricated through a simple method of solution casting. In this system, GO and MMT act as bricks, PVA sticks them together like glue, and they together form a brick‐wall structure. By adding these fillers, the oxygen permeability rate (Po2) of this film is 0.48 × 10−18 cm3•cm/(cm2•s•Pa), less than that of pure PVA film by 97%, and the water vapor permeability rate () of the nanocomposite film is 1.21 × 10−13 g•cm/(cm2•s•Pa), less than that of pure PVA film by 86%. In addition, the flame retardant properties of m‐TiO2@GO/MMT/PVA nanocomposite films are excellent, which self‐extinguishes as long as the flame taken away, different from pure PVA film, which is completely burned. Moreover, the thermal stability and mechanical properties of the nanocomposite films are also significantly improved. The nanocomposites with environment‐friendly raw materials, simple manufacturing processes, and excellent performance should have good applications in the packaging and coating industries.
Chinese versions of the Interpersonal Needs Questionnaire: Psychometric properties, measurement invariance across gender and cultures
Authors: Lai Catie C. W. , Boag Simon 
Published: March 2021

AbstractAssociations between unmet interpersonal needs and different aspects of suicide have been observed in both Western and non‐Western cultures using the Interpersonal Needs Questionnaire (INQ). However, measurement invariance is a prerequisite for comparing differences between culturally different groups, and to date, no studies have examined measurement invariance of INQ across cultures. This study aimed to (a) validate Chinese versions of the INQ, (b) assess measurement invariance across gender for the Chinese INQ, (c) assess measurement invariance across Australian and Chinese cultures for the INQ, and (d) comprehensively assess the association of interpersonal needs with suicide ideation. A sample of 469 Australian undergraduates and a sample of 854 Chinese undergraduates were used in this study. For testing measurement invariance across gender, the sample of Chinese undergraduates was split by gender into the Chinese male and Chinese female samples. Five versions of INQ (10‐, 12‐, 15‐, 18‐ and 25‐item) were tested. The 10‐ and 15‐item Chinese INQ demonstrated adequate psychometric properties through various analyses (i.e., reliability, confirmatory factor analysis, and structural equation modeling) and also demonstrated measurement invariance across gender via multigroup confirmatory factor analysis. The 10‐item INQ demonstrated measurement invariance across Australian and Chinese cultures. Of the two interpersonal factors, only perceived burdensomeness was significantly associated with suicide ideation. Multigroup structural equation modeling demonstrated that perceived burdensomeness may be a greater risk factor of suicide among Australian undergraduates than among Chinese undergraduates. Practical and theoretical contributions of this study are discussed.
Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis
Authors: Lai Fuming , Sun Zhehao , Saji Sandra Elizabeth , He Yichuan , Yu Xuefeng , Zhao Haitao , Guo Haibo , Yin Zongyou 
Published: March 2021

AbstractCrystallographic facets in a crystal carry interior properties and proffer rich functionalities in a wide range of application areas. However, rational prediction, on‐demand customization, and accurate synthesis of facets and facet junctions of a crystal are enormously desirable but still challenging. Herein, a framework of machine learning (ML)‐aided crystal facet design with ionic liquid controllable synthesis is developed and then demonstrated with the star‐material anatase TiO2. Aided by employing ML to acquire surface energies from facet junction datasource, the relationships between surface energy and growth conditions based on the Langmuir adsorption isotherm are unveiled, enabling to develop controllable facet synthetic strategies. These strategies are successfully verified after applied for synthesizing TiO2 crystals with custom crystal facets and facet junctions under tuning ionic liquid [bmim][BF4] experimental conditions. Therefore, this innovative framework integrates data‐intensive rational design and experimental controllable synthesis to develop and customize crystallographic facets and facet junctions. This proves the feasibility of an intelligent chemistry future to accelerate the discovery of facet‐governed functional material candidates.
Data stream analysis: Foundations, major tasks and tools
Authors: Bahri Maroua , Bifet Albert , Gama João , Gomes Heitor Murilo , Maniu Silviu 
Published: March 2021

AbstractThe significant growth of interconnected Internet‐of‐Things (IoT) devices, the use of social networks, along with the evolution of technology in different domains, lead to a rise in the volume of data generated continuously from multiple systems. Valuable information can be derived from these evolving data streams by applying machine learning. In practice, several critical issues emerge when extracting useful knowledge from these potentially infinite data, mainly because of their evolving nature and high arrival rate which implies an inability to store them entirely. In this work, we provide a comprehensive survey that discusses the research constraints and the current state‐of‐the‐art in this vibrant framework. Moreover, we present an updated overview of the latest contributions proposed in different stream mining tasks, particularly classification, regression, clustering, and frequent patterns.This article is categorized under:
Fundamental Concepts of Data and Knowledge > Key Design Issues in Data Mining
Fundamental Concepts of Data and Knowledge > Motivation and Emergence of Data Mining
Fractional black p-branes on orbifold ℂn/ℤn
Authors: Nitta Muneto , Uzawa Kunihito 
Published: March 2021

AbstractThe recent discovery of an explicit solution of a black hole on the resolved orbifold ℂn/ℤnmakes it possible to investigate the existence ofp-branes on the orbifold. In particular, it is possible with reasonable precision to verify the prediction that an M2-brane on ℂ4/ℤ4 in eleven dimensions and a D3-brane on ℂ3/ℤ3in ten dimensions have a family of blackp-branes on the orbifold ℂn/ℤn. These solutions are extremal and have regular horizonsS2n−1/ℤnwithout any naked singularity, with near horizon geometries AdSp+2×S2n−1/ℤn.
Einführung digitaler Lehre im Fach Psychiatrie als Reaktion auf COVID-19: eine vergleichende Evaluation zur Präsenzlehre
Authors: Besse Matthias , Wiltfang Jens , Belz Michael , Signerski-Krieger Jörg 
Published: March 2021

Zusammenfassung
Hintergrund
Aufgrund der Corona-Pandemie musste die klassische universitäre Präsenzlehre kurzfristig auf ein digitales Format für das Sommersemester 2020 (SoSe20) umgestellt werden. Am Beispiel der psychiatrischen Klinik der Universitätsmedizin Göttingen sollten der Lernzuwachs und die inhaltliche Bewertung vergleichend zwischen beiden Lehrformen evaluiert werden, um die Qualität der Umstellung beurteilen zu können.

Material und Methoden
Insgesamt 350 Studierende beurteilten die von ihnen besuchte Präsenzlehre (WiSe18/19 bis WiSe19/20) bzw. die neu etablierte digitale Lehre (SoSe20) im Rahmen einer standardisierten Lehrevaluation. Sie machten hierbei Angaben zu ihrem persönlichen Lernzuwachs in 7 psychiatrischen Kernbereichen und bewerteten die jeweilige Lehrform inhaltlich auf 8 Dimensionen. Zudem gaben sie ihren durchschnittlichen Zeitaufwand an.

Ergebnisse
Die Studierenden schätzten ihren Lernzuwachs in der digitalen Lehre auf allen Dimensionen mindestens gleichwertig zur Präsenzlehre bzw. signifikant besser in den Teilbereichen „Psychotherapie“ sowie „Schizophrenie“ ein. Trotz eines signifikant erhöhten zeitlichen Aufwandes wurde die digitale Lehre auf allen Dimensionen inhaltlich gleichwertig oder besser („Selbstständiges Aufarbeiten von Lernzielen“, „Format der Vorlesung“) eingeschätzt. Bei der Vorbereitung auf die berufliche Praxis zeigten sich die Studierenden bez. der digitalen Lehre skeptisch.

Diskussion
Eine kurzfristige pandemiebedingte Umstellung der Präsenzlehre hin zur digitalen Lehre führte in der hier vorliegenden vergleichenden Evaluation nicht zu einem Qualitätsverlust. Mit Blick auf die spätere praktische ärztliche Tätigkeit sollten in zukünftigen Kurrikula neben der klassischen Präsenzlehre auch digitale Lehrangebote ergänzend verankert werden.
Update cerebellum and cognition
Authors: Jacobi Heike , Faber Jennifer , Timmann Dagmar , Klockgether Thomas 
Published: March 2021

AbstractThere is now robust evidence that the cerebellum—apart from its well-established role in motor control—is crucially involved in a wide spectrum of cognitive and affective functions. Clinical and neuropsychological studies together with evidence from anatomical studies and advanced neuroimaging have yielded significant insights into the specific features and clinical relevance of cerebellar involvement in normal cognition and mood.
Performance of international prognostic indices in plasmablastic lymphoma: a comparative evaluation
Authors: Hertel Nadine , Merz Hartmut , Bernd Heinz-Wolfram , Bernard Veronica , Künstner Axel , Busch Hauke , von Bubnoff Nikolas , Feller Alfred C. , Witte Hanno M. , Gebauer Niklas 
Published: March 2021

Abstract
Purpose
Plasmablastic lymphoma (PBL) is a rare and aggressive B-cell malignancy with a heterogenous clinical and prognostic spectrum, determined by multiple factors, including age, HIV- and MYC-status. While there exist several validated scoring systems for diffuse large B-cell lymphoma, which incorporate basic clinical features (age, lactate dehydrogenase, sites of (extranodal) involvement, stage and performance), none of these have been systematically assessed in PBL.

Methods
We determined the (age-adjusted; aa)-International Prognostic Index (IPI), revised IPI (R-IPI), and National Comprehensive Cancer Network IPI (NCCN-IPI) in a comprehensive multi-center cohort (n = 78) of PBL patients. Further, all indices were comparatively investigated for model quality and concordance.

Results
Univariate analysis revealed significant prognostic capabilities for all indices, all of which identified a subgroup with favorable outcome. Discriminatory power between patients with less benign prognosis and especially refractory disease exhibited significant variability. Subsequently, stratified models for each risk score were compared employing corrected Akaike’s information criterion (cAIC) and Harrel’s concordance index (c-index). Here, the NCCN-IPI outperformed both IPI and R-IPI regarding c-index with ambiguous cAIC results, underlining its clinical utility and suggesting it for preferential use in clinical practice.

Conclusion
Our current observations support the use of the IPI and its enhanced derivatives in PBL patients. There is, however, a distinct requirement for novel prognostic tools to better delineate subgroups at risk for early relapse or refractory disease as well as late relapse. A comprehensive molecular characterization of a clinically annotated cohort of PBL patients is therefore urgently warranted.
Es EILD – Anforderungen an die Publikation freier Lerneinheiten (OER) im Fach Datenbanken
Authors: Rakow Thomas C. , Faeskorn-Woyke Heide , Saatz Inga Marina , Knolle Harm 
Published: March 2021

ZusammenfassungKompetenzen auf dem Gebiet der Datenbanken gehören zum Pflichtbereich der Informatik. Das Angebot an Lehrbüchern, Vorlesungsformaten und Tools lässt sich jedoch für Lehrende oft nur eingeschränkt in die eigene Lehre integrieren. In diesem Aufsatz schildern wir unsere Erfahrungen in der Nutzung (frei) verfügbarer und der Entwicklung eigener digitaler Inhalte für grundlegende Datenbankveranstaltungen. Die Präferenzen der Studierenden werden mittels Nutzungsanalysen und Befragungen ermittelt. Wir stellen die Anforderungen auf, wie die nicht selten aufwendig herzustellenden digitalen Materialien von Lehrenden in ihre Lehr- und Lernumgebungen integriert werden können. Als konstruktive Antwort auf diese Herausforderung wird das Konzept EILD zur Entwicklung von Inhalten für die Lehre im Fach Datenbanken vorgestellt. Die Inhalte sollen in vielfältigen Lernszenarien eingesetzt werden können und mit einer Creative Commons (CC) Lizenzierung als OER (open educational resources) frei zur Verfügung stehen.
Improved performances of lithium disilicate glass-ceramics by seed induced crystallization
Authors: Zhao Ting , Lian Mei-Mei , Qin Yi , Zhu Jian-Feng , Kong Xin-Gang , Yang Jian-Feng 
Published: March 2021

AbstractSelf-reinforced lithium disilicate (Li2Si2O5, LD) glass-ceramics were hot pressing sintered by introducing 5 wt% Li2Si2O5 crystal seeds into two different glass compositions of SiO2-Li2O-P2O5-ZrO2-Al2O3-K2O-La2O3 (7C LD) and SiO2-Li2O-K2O-La2O3 (4C LD). The results show that the seeds play an important role in the crystallization inducement, and microstructural and property improvement of the glass, especially for the glass powder without the nucleating agent of P2O5. The microstructure features a wider bimodal grain size distribution with large rod-like crystals epitaxially grown along the seeds and small crystals nucleated from the glass powder itself, contributing to the improvement of the performance especially the fracture toughness. The specimen of 4C LD glass with the addition of 5 wt% Li2Si2O5 seeds exhibited the best comprehensive properties with a good flexural strength (396±7 MPa), improved fracture toughness (3.31±0.19 MPa·m1/2), and comparable translucency as IPS e.max. This research provides a new idea and method for the improvement of the fracture toughness of lithium disilicate glass-ceramics without affecting its aesthetic appearance, and lays the foundation for its clinical applications.
A simulation study of the effect of post-combustion amine-based carbon-capturing integrated with solar thermal collectors for combined cycle gas power plant
Authors: Ayyad Amir , Abbas Ayman , Elminshawy Nabil 
Published: March 2021

AbstractPost-combustion carbon capture with solvent designed to sequestrate carbon from power plant is a promising and well-known technology. However, a vital drawback is the reduction of the power plant output due to the energy required to separate captured CO2 from the solvent, known as a re-boiler duty. In this paper, two configurations were simulated and economically examined to mitigate the re-boiler duty and power loss from the 495 MW West Damietta power plant, Egypt. The first approach is to increase carbon concentrations in the feed to carbon capture plant by recycling part of exhaust gas back to the combustion chamber with different ratios (0%–35%), the second approach is implementing parabolic-trough solar collectors to handle the reboiler load instead of low-pressure steam extracted from the power plant. Both power and CO2 capturing plants were simulated using Aspen Hysys. Parabolic trough solar collector plant was simulated using system advisor model software. The results revealed that increasing carbon content led to a remarkable decrease in reboiler duty by up to around 20%. It was also found that integrating the solar plant with thermal storage system highly improved the optimum production compared to plant without thermal storage. Carbon increase also affected the levelized cost of energy which had 1.39% reduction and 6% decrease in carbon cost of avoidance using 35% recirculation ratio.