bluuebunny/crossref_metadata_2025_split huggingface dataset:
It’s all about the brand: place brand credibility, place attachment, and consumer loyalty
Authors: Reitsamer Bernd F. , Brunner-Sperdin Alexandra 
Published: January 2021

AbstractDespite the growing attention brand credibility attracts in recent marketing literature, little is known about the credibility of place brands and their relationship with consumers’ loyalty. The present study builds on brand signalling and attachment theory to investigate whether credible place brands affect consumers’ attachment formation, their subsequent word of mouth (WOM) and intention to return. Survey data from an Alpine winter sport destination reveal that place brand credibility is a key antecedent of consumers’ attachment. Moreover, consistent with brand signalling theory, credible place brands exert a particularly strong direct effect on consumers’ WOM. A positive effect on their intention to return, however, will result only if they feel attached with the place brand beforehand. Implications for marketing scholars and brand managers are offered.
Agenda-setting in a social media age
Authors: Carazo-Barrantes Carolina 
Published: January 2021

Abstract
This paper analyzes the role of social media in electoral processes and contemporary political life. We analyze Costa Rica’s 2018 presidential election from an agenda-setting perspective, studying the media, the political and the public agendas, and their relationships. We explore whether social media, Facebook specifically, can convey an agenda-setting effect; if social media public agenda differs from the traditional MIP public agenda; and what agenda-setting methodologies can benefit from new approaches in the social media context. The study revealed that social media agendas are complex and dynamic and, in this case, did not present an agenda-setting effect. We not only found that the social media public agenda does not correlate with the conventional MIP public agenda, but that neither does the media online agenda and the media’s agenda on Facebook. Our exploration of more contemporary methods like big data, social network analysis (SNA), and social media mining point to them as necessary complements to the traditional methodological proposal of agenda-setting theory which have become insufficient to explain the current media environment.
Der Einfluss der akademischen Interaktionen auf die Auflagen- und Wirkungsgeschichte von Hermann PaulsPrinzipien
Authors: Chen Beijia 
Published: January 2021

ZusammenfassungTrotz der zahlreichen Untersuchungen zu den modernen Sprachideen in Hermann PaulsPrinzipiensowie deren Einfluss auf die Sprachwissenschaftsgeschichte wurde die reichliche Auflagen- und Wirkungsgeschichte dieses Werkes nur selten in der linguistischen Historiographie thematisiert. Durch Rekonstruierung der Wechselbeziehungen zwischen Paul und den Rezipienten derPrinzipienbeleuchtet der vorliegende Beitrag aus einer wissenschaftssoziologischen Perspektive einige bisher unbemerkte Details bezüglich der Auflagen- und Wirkungsgeschichte derPrinzipienunter dem Einfluss der akademischen Interaktionen, bei denen Pauls Aussagen in diesem Werk teils fixiert, teils zugespitzt, teils abgeschwächt wurden und die Sprachwissenschaft gewissermaßen mit in die Moderne gesteuert wurde.
Father Iakinf Bičurin’s theory of mental inflection in Chinese
Authors: Koža Ksenija 
Published: January 2021

Summary
The article deals with the highly original idea of mental inflection [умственное словоизменение] in Chinese put
forward by the prominent nineteenth-century Russian sinologist Nikita (比丘林, Father Iakinf or Hyacinthus) Bičurin (1777–1853) in his Kitajskaja Grammatika (1835)
and other language-related works. The concept refers to the internal features of Chinese morphology which compensate for the
absence of common grammatical inflection. Fostered in an Humboldtian spirit, the theory established a link between covert
categories and their surface representations a century before functional syntax appeared on the linguistic stage.
Furor over the Fed: A President’s Tweets and Central Bank Independence
Authors: Camous Antoine , Matveev Dmitry 
Published: January 2021

Abstract
We illustrate how financial market data are informative about the interactions between monetary and fiscal policy. Federal funds futures are private contracts that reflect investor’s expectations about future monetary policy decisions. By relating price movements of these contracts with President Trump’s tweets on monetary policy, we explore how financial market participants have perceived attempts by the President to influence monetary policy decisions. Our results indicate that market participants expected the Federal Reserve Bank to adjust monetary policy in the direction suggested by President Trump. (JEL codes: E44, E52, and E58)
Forward-Secure Edge Authentication for Graphs
Authors: Zhu Fei , Yi Xun , Abuadbba Alsharif , Khalil Ibrahim , Nepal Surya , Huang Xinyi 
Published: January 2021

AbstractThe edge authentication of graphs has been studied in the literature because graphs are one of the most widely used data organization structures. The majority of such schemes cannot be used to authenticate general directed graphs (GDGs); other schemes cannot be used for addressing either the issue of dynamic update or the issue of information leakage (such as the existence of nodes/edges and structural relationship of the graph). Also, all the existing schemes do not consider the forward security: if the signer’s secret key has been compromised, all previously generated signatures remain valid. This property provides high-level security protection for authentication schemes. To address these issues, in this work, we propose a forward-secure edge authentication scheme for GDGs. Observe that existing such schemes can only give a proof such that ‘there is an edge between nodes $u$ and $v$’. Our scheme, however, can directly give a proof such that ‘there is no edge between nodes $u$ and $v$’, which makes the function of edge authentication schemes more diverse. Moreover, our proposed scheme is proven to be secure against an adaptive chosen-message adversary in the random oracle model. To show its desirable performance, we analyze the computational costs of our scheme and compare it with other related schemes in terms of features.
Age-Related Changes in Presynaptic Inhibition During Gait Initiation
Authors: Filho Solival Santos , Coelho Daniel Boari , Ugrinowitsch Carlos , de Souza Caroline Ribeiro , Magalhães Fernando Henrique , de Lima-Pardini Andrea Cristina , de Oliveira Éden Marcos Braga , Mattos Eugenia , Teixeira Luis Augusto , Silva-Batista Carla 
Published: January 2021

Abstract
Age-related changes in presynaptic inhibition (PSI) have not been observed during gait initiation, which requires anticipatory postural adjustment (APA). As APA is centrally modulated and is impaired in older compared to young adults, here we aimed to study the presynaptic control and co-contraction levels in the ankle muscles during gait initiation in older compared to young adults. Fifteen older (age range 65–80 years) and 15 young adults (age range 19–30 years) performed a gait initiation task on a force platform under 3 conditions: (i) without electrical stimulation; (ii) test Hoffman reflex (H-reflex); and (iii) conditioned H-reflex. H-reflexes were evoked on the soleus muscle when the APA amplitude exceeded 10%–20% of the average baseline mediolateral force. Participants also performed quiet stance as a control task. Results showed that both age groups presented similar PSI levels during quiet stance (p = .941), while in the gait initiation older adults presented higher PSI levels, longer duration, and lower amplitude of APA than young adults (p &lt; .05). Older adults presented higher co-contraction ratio in both tasks than young adults (p &lt; .05). Correlations between the PSI levels and the APA amplitude (r = −0.61, p = .008), and between the PSI levels and the co-contraction ratio during gait initiation (r = −0.64, p = .005) were found for older adults only. APA amplitude explained 49% of the variance of the PSI levels (p = .003). Our findings suggest that older compared to young adults have increased presynaptic control to compensate for the decreased supraspinal modulation on impaired APAs during gait initiation.
Quality indicators for hospital antimicrobial stewardship programmes: a systematic review
Authors: O’Riordan F , Shiely F , Byrne S , Fleming A 
Published: January 2021

Abstract

Background
Measuring the quality and effectiveness of antimicrobial stewardship (AMS) programmes with quality indicators (QIs) is an area of increasing interest. We conducted a systematic review to identify QIs of AMS programmes in the hospital setting and critically appraise their methodological quality.

Methods
We searched the Cochrane Library, PubMed, MEDLINE, EMBASE, CINAHL, Scopus/web of science databases and the grey literature for studies that defined and/or described the development process and characteristics of the QIs developed. The Appraisal of Indicators through Research and Evaluation (AIRE) instrument was used to critically appraise the methodological quality of the QI sets.

Results
We identified 16 studies of QI sets consisting of 229 QIs. The QI sets addressed a broad range of areas of AMS in the hospital setting and consisted of 75% process indicators, 24% structural indicators and 1% outcome indicators. There was a wide variation in the information and level of detail presented describing the methodological characteristics of the QI sets identified.

Conclusions
The QIs identified in this study focused on process and structural indicators with few outcome indicators developed—a major deficiency in this area. Future research should focus on the development of outcome indicators or the use of process or structural indicators linked to outcomes to assess AMS. Testing of the QIs in practice is an essential methodological element of the QI development process and should be included in the QI development study or as planned validation work.
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data
Authors: Klann Jeffrey G , Estiri Hossein , Weber Griffin M , Moal Bertrand , Avillach Paul , Hong Chuan , Tan Amelia L M , Beaulieu-Jones Brett K , Castro Victor , Maulhardt Thomas , Geva Alon , Malovini Alberto , South Andrew M , Visweswaran Shyam , Morris Michele , Samayamuthu Malarkodi J , Omenn Gilbert S , Ngiam Kee Yuan , Mandl Kenneth D , Boeker Martin , Olson Karen L , Mowery Danielle L , Follett Robert W , Hanauer David A , Bellazzi Riccardo , Moore Jason H , Loh Ne-Hooi Will , Bell Douglas S , Wagholikar Kavishwar B , Chiovato Luca , Tibollo Valentina , Rieg Siegbert , Li Anthony L L J , Jouhet Vianney , Schriver Emily , Xia Zongqi , Hutch Meghan , Luo Yuan , Kohane Isaac S ,   The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) (CONSORTIA AUTHOR), Brat Gabriel A , Murphy Shawn N 
Published: January 2021

Abstract

Objective
The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) is an international collaboration addressing coronavirus disease 2019 (COVID-19) with federated analyses of electronic health record (EHR) data. We sought to develop and validate a computable phenotype for COVID-19 severity.

Materials and Methods
Twelve 4CE sites participated. First, we developed an EHR-based severity phenotype consisting of 6 code classes, and we validated it on patient hospitalization data from the 12 4CE clinical sites against the outcomes of intensive care unit (ICU) admission and/or death. We also piloted an alternative machine learning approach and compared selected predictors of severity with the 4CE phenotype at 1 site.

Results
The full 4CE severity phenotype had pooled sensitivity of 0.73 and specificity 0.83 for the combined outcome of ICU admission and/or death. The sensitivity of individual code categories for acuity had high variability—up to 0.65 across sites. At one pilot site, the expert-derived phenotype had mean area under the curve of 0.903 (95% confidence interval, 0.886-0.921), compared with an area under the curve of 0.956 (95% confidence interval, 0.952-0.959) for the machine learning approach. Billing codes were poor proxies of ICU admission, with as low as 49% precision and recall compared with chart review.

Discussion
We developed a severity phenotype using 6 code classes that proved resilient to coding variability across international institutions. In contrast, machine learning approaches may overfit hospital-specific orders. Manual chart review revealed discrepancies even in the gold-standard outcomes, possibly owing to heterogeneous pandemic conditions.

Conclusions
We developed an EHR-based severity phenotype for COVID-19 in hospitalized patients and validated it at 12 international sites.
Interactions of amino acids and hormones regulate the balance between growth and milk protein synthesis in lactating rats fed diets differing in protein content
Authors: Xu Lianbin , Hanigan Mark D , Lin Xueyan , Li Xiuli , Li Mengmeng , Liu Wei , Hu Zhiyong , Hou Qiuling , Wang Yun , Wang Zhonghua 
Published: January 2021

Abstract
Insulin-like growth factor-I (IGF-I), growth hormone (GH), and prolactin (PRL) play important roles in milk protein synthesis, and their plasma concentrations were reported to be affected by dietary protein intake. To investigate the relationship between circulating amino acid (AA) and concentrations of these hormones, 18 Wistar rats aged 14 wk were assigned to a low (LP; 9% protein), standard (SP; 21% protein), or high-protein (HP; 35% protein) diet from parturition through day 15 of lactation. Plasma, liver, pituitary gland, skeletal muscle, and mammary gland samples were collected at the end of treatment. Circulating and hepatic IGF-I concentrations increased linearly with elevated dietary protein concentrations (P &lt; 0.0001). Rats receiving the HP diet had higher circulating GH (P &lt; 0.01) and pituitary PRL concentrations (P &lt; 0.0001) but lower pituitary GH concentration (P &lt; 0.0001) relative to those in rats receiving the LP and SP diets. Pearson correlation test performed on composed data across treatments showed that several circulating AAs were correlated with circulating and tissue concentrations of IGF-I, GH, and PRL. Multiple linear regression analyses identified Leu, Gln, Ala, Gly, and Arg as the main AAs associated with hormone responses (R2 = 0.37 ~ 0.80; P &lt; 0.05). Rats fed the LP and HP diets had greater Igf1 and Ghr gene expression in skeletal muscle than those fed the SP diets (P &lt; 0.01). However, LP treatment decreased Prlr mRNA abundance in mammary glands as compared with the SP and HP treatments (P &lt; 0.05). The HP diets increased AA transporter expression (P &lt; 0.01) but decreased mammalian target of rapamycin (P &lt; 0.05) and 70 kDa ribosomal protein S6 kinase 1 (P &lt; 0.01) phosphorylation in mammary glands as compared with the LP and SP diets. The results of the present study suggested that several circulating AAs mediated the effects of dietary protein supply on concentrations of IGF-I, GH, and PRL, which in turn altered the metabolism status in peripheral tissues including the lactating mammary glands.
Adaptive Orthogonal Characteristics of Bio-Inspired Neural Networks
Authors: Ishii Naohiro , Deguchi Toshinori , Kawaguchi Masashi , Sasaki Hiroshi , Matsuo Tokuro 
Published: January 2021

Abstract
In recent years, neural networks have attracted much attention in the machine learning and the deep learning technologies. Bio-inspired functions and intelligence are also expected to process efficiently and improve existing technologies. In the visual pathway, the prominent features consist of nonlinear characteristics of squaring and rectification functions observed in the retinal and visual cortex networks, respectively. Further, adaptation is an important feature to activate the biological systems, efficiently. Recently, to overcome short-comings of the deep learning techniques, orthogonality for the weights in the networks has been developed for the signal propagation and the efficient optimization of the learning. In this paper, bio-inspired asymmetric networks with nonlinear characteristics are proposed, which are derived from the retinal networks in the biological visual pathway. The asymmetric network proposed here was verified to detect the movement of the object, efficiently in our previous studies. This paper shows a new characteristic of the adaptive orthogonality in the asymmetric networks. First, it is shown that the asymmetric network with nonlinear characteristics is effective for generating orthogonality. Second, the proposed asymmetric network with Gabor filters is compared with the conventional energy model from the point of the orthogonality characteristics. Finally, the asymmetric networks with nonlinear characteristics can generate the extended orthogonal bases in independent subspaces, which are useful for classification and efficient learning.
When Echinococcus granulosus transmigrates from the liver into the pericardium: a case report
Authors: Kuemmerli Christoph , Sánchez-Velázquez Patricia , Tschuor Christoph , Oberkofler Christian , Lachat Mario , Müllhaupt Beat , Clavien Pierre-Alain , Petrowsky Henrik 
Published: January 2021

Abstract
Infection with Echinococcus granulosus is a common helminthic disease worldwide with endemic in a region with high endemic areas in Africa, Asia, Middle East, South America and southern Europe.
We report a rare case of a young patient with cystic echinococcal disease of the liver invading the pericardium. The patient initially presented with life-threatening cardiac tamponade, which resulted in the discovery of the underlying parasitic disease. He successfully underwent en-bloc hepatic pericystectomy and pericardiac resection with closure of the pericardial defect using a xenogeneic patch. After this procedure, he recovered well and had no cardiac complications in the long term. Under treatment with albendazol, the patient showed no signs of recurrent disease.
Cases of complex cystic echinococcosis, which invade adjacent organs or body cavities, often need radical surgery for definitive treatment embedded in a multidisciplinary approach in highly specialized centers.
A highly efficient atomically thin curved PdIr bimetallene electrocatalyst
Authors: Lv Fan , Huang Bolong , Feng Jianrui , Zhang Weiyu , Wang Kai , Li Na , Zhou Jinhui , Zhou Peng , Yang Wenxiu , Du Yaping , Su Dong , Guo Shaojun 
Published: January 2021

Abstract
The multi-metallene with an ultrahigh surface area has great potential in precise tuning of surface heterogeneous d-electronic correlation by surface strain effect for the distinctive surface electronic structure, which is a brand new class of promising 2D electrocatalyst for sustainable energy device application. However, achieving such an atomically thin multi-metallene still presents a great challenge. Herein, we present a new synthetic method for an atomic-level palladium-iridium (PdIr) bimetallene with an average thickness of only ∼1.0 nm for achieving superior catalysis in the hydrogen evolution reaction (HER) and the formic acid oxidation reaction (FAOR). The curved PdIr bimetallene presents a top-ranked high electrochemical active area of 127.5 ± 10.8 m2 gPd+Ir−1 in the reported noble alloy materials, and exhibits a very low overpotential, ultrahigh activity and improved stability for HER and FAOR. DFT calculation reveals that the PdIr bimetallene herein has a unique lattice tangential strain, which can induce surface distortion while concurrently creating a variety of concave-convex featured micro-active regions formed by variously coordinated Pd sites agglomeration. Such a strong strain effect correlates the abnormal on-site active 4d10-t2g-orbital Coulomb correlation potential and directly elevates orbital-electronegativity exposure within these active regions, resulting in a preeminent barrier-free energetic path for significant enhancement of FAOR and HER catalytic performance.
The mechanism of host-induced germination in root parasitic plants
Authors: Nelson David C 
Published: January 2021

AbstractChemical signals known as strigolactones (SLs) were discovered more than 50 years ago as host-derived germination stimulants of parasitic plants in the Orobanchaceae. Strigolactone-responsive germination is an essential adaptation of obligate parasites in this family, which depend upon a host for survival. Several species of obligate parasites, including witchweeds (Striga, Alectra spp.) and broomrapes (Orobanche, Phelipanche spp.), are highly destructive agricultural weeds that pose a significant threat to global food security. Understanding how parasites sense SLs and other host-derived stimulants will catalyze the development of innovative chemical and biological control methods. This review synthesizes the recent discoveries of strigolactone receptors in parasitic Orobanchaceae, their signaling mechanism, and key steps in their evolution.
Sleep and cardiometabolic risk: a cluster analysis of actigraphy-derived sleep profiles in adults and children
Authors: Matricciani Lisa , Paquet Catherine , Fraysse François , Grobler Anneke , Wang Yichao , Baur Louise , Juonala Markus , Nguyen Minh Thien , Ranganathan Sarath , Burgner David , Wake Melissa , Olds Tim 
Published: January 2021

AbstractStudy ObjectivesSleep plays an important role in cardiometabolic health. Although the importance of considering sleep as a multidimensional construct is widely appreciated, studies have largely focused on individual sleep characteristics. The association between actigraphy-derived sleep profiles and cardiometabolic health in healthy adults and children has not been examined.MethodsThis study used actigraphy-measured sleep data collected between February 2015 and March 2016 in the Child Health CheckPoint study. Participants wore actigraphy monitors (GENEActiv Original, Cambs, UK) on their nondominant wrist for 7 days and sleep characteristics (period, efficiency, timing, and variability) were derived from raw actigraphy data. Actigraphy-derived sleep profiles of 1,043 Australian children aged 11–12 years and 1,337 adults were determined using K-means cluster analysis. The association between cluster membership and biomarkers of cardiometabolic health (blood pressure, body mass index, apolipoproteins, glycoprotein acetyls, composite metabolic syndrome severity score) were assessed using Generalized Estimating Equations, adjusting for geographic clustering, with sex, socioeconomic status, maturity stage (age for adults, pubertal status for children), and season of data collection as covariates.ResultsFour actigraphy-derived sleep profiles were identified in both children and adults: short sleepers, late to bed, long sleepers, and overall good sleepers. The overall good sleeper pattern (characterized by adequate sleep period time, high efficiency, early bedtime, and low day-to-day variability) was associated with better cardiometabolic health in the majority of comparisons (80%).ConclusionActigraphy-derived sleep profiles are associated with cardiometabolic health in adults and children. The overall good sleeper pattern is associated with more favorable cardiometabolic health.