bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting behavioural intentions of Craft Beer Festival attendees by their event experience
Authors: Hermann Uwe Peter , Lee Craig , Coetzee Willem , Boshoff Liezel 
Published: October 2020

PurposeThe purpose of this paper is to contribute to the event experience literature by examining the effects of Craft Beer Festival attendee’s event experience on their satisfaction and behavioural intentions. The study also investigates whether these relationships are moderated by the attendee’s past history with the festival and the distance they have travelled to attend the event.Design/methodology/approachThe theoretically derived model was tested on a sample of 354 attendees of the Capital Craft Beer Festival in Pretoria, South Africa. Partial least squares structural equation modelling was used to analyse the data.FindingsThe results indicated that only affective engagement positively influences attendee’s satisfaction, which, in turn, positively influences attendee’s intentions to revisit and recommend the beer festival. The authors found no evidence of the effects of cognitive and physical engagement and experiencing novelty on event satisfaction and no moderating effect of previous attendance and distance travelled to the event.Originality/valueThe findings advance the knowledge base in the field of a gastronomic event experience regarding critical factors that affect event satisfaction which, to date, have only been tested on sports events.
High-performance computing for computational modelling in built environment-related studies – a scientometric review
Authors: Aghimien Emmanuel Imuetinyan , Aghimien Lerato Millicent , Petinrin Olutomilayo Olayemi , Aghimien Douglas Omoregie 
Published: October 2020

PurposeThis paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low.Design/methodology/approachAn interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered.FindingsFindings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry.Research limitations/implicationsThe study assessed a single database for the search of related studies.Originality/valueThe findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.
Simulation of stakeholders’ consensus on organizational technology acceptance (case study: Internet of Things)
Authors: Sarkeshikian Ali , Shafia Mohhamadali , Zakery Amir , Aliahmadi Alireza 
Published: October 2020

PurposeIn the organizational technology acceptance (TA) decision-making process, stakeholders have many divergence opinions. Sometimes, an opposing stakeholder of a decision can stop the whole process of decision-making. In such a case, consensus may take a long time followed by a high risk. The purpose of this study is twofold. First, to find the best model with the least prediction error for the simulation of the consensus process in TA decisions. Second, to investigate the time required for the consensus process to yield the TA decision in different scenarios and to propose solutions to reduce the required time in a case study.Design/methodology/approachThis study uses real-world data containing 1,186 actual observations. Stakeholders are decision-maker agents, and the observations are derived from survey data and used for simulation. Data were obtained from 126 experts in the Iranian rail freight industry. Opinion dynamics theory was used for agent-based simulation of stakeholders’ behavior. The agents interacted over time and their effects on other agents’ opinions were investigated.FindingsThe results illustrate an appropriate opinion changing model, a data-gathering method and a simulation scenario for TA consensus. The suitable model was selected after examining the advantages and disadvantages of and comparing the prediction results for different models with the real database of opinions. To reduce the consensus process time, the results suggest gathering the team members and networking with some leaders as advocators. A large number of advocators with high acceptability and continuous exchanging messages with other agents can improve the acceptance rate and have the most significant impact on other stakeholders’ opinions.Originality/valueTo the best of the authors’ knowledge, previous studies simulate individual TA processes. However, there is a difference between the individual TA and the organizational TA. The organizational TA requires the simultaneous decision-making of different stakeholders. In this research, the organizational TA was investigated.
FinTech adoption: strategy for customer retention
Authors: Tripathy Arun Kumar , Jain Anshul 
Published: October 2020

Purpose
Purpose of this paper is highlight the importance of adopting FinTech innovations to improve Customer Retention

Design/methodology/approach
Authors viewpoint and give a macro perspective of FinTech-Customer Retention linkages.

Findings
Adoption of FinTech innovations is essential for customer retention.

Practical implications
Many large B2C players are moving strongly ahead with adopting FinTech driven payment solutions. Competitors which ignore this trend, stand to lose customers in the long run.

Originality/value
FinTech is a new and developing industry. There has been limited research into its usage by non-financial corporates and impact on customer retention.
Mapping of underground cavities by the passive seismic standing waves method: the case study of Barsukovskaya cave (Novosibirsk region, Russia)
Authors: Fedin Konstantin V. , Kolesnikov Yury I. , Ngomayezwe Luckymore 
Published: October 2020

ABSTRACTThis article presents the results of mapping a karst cave by the passive seismic standing waves method. Barsukovskaya cave is located about 100 km southeast of the city of Novosibirsk (Russia). The total length of the cave's passages and grottoes is estimated at about 200 m, the maximum depth from the earth's surface is about 19 m. The method for studying underground cavities used is based on the effect of the generation of standing waves by microtremor in the space between the earth's surface and the cave roof. The accumulation of amplitude spectra of a large number of microtremor records makes it possible to determine the frequencies of the first few modes of these waves. Areal passive seismic survey on the earth's surface above the cave made it possible to construct a map of the lowest mode frequency distribution over the cave roof. Since no standing waves were observed at other points, this map reflects the cave structure in plan, which confirms the comparison with the cave diagram drawn up earlier by one of the speleologists. A schematic map of the depth of the cave roof was constructed using the longitudinal wave velocity Vp = 3120 m/s determined by the rock samples selected near the entrance to the cave. This map at a qualitative level also agrees with the data of speleologists, which indicate that the cave, on average, gradually becomes deeper from the entrance to its dead‐end branches. The shallower depths in comparison with the data of speleologists are apparently explained by a very low estimate of the velocity determined from a rock sample taken near the entrance to the cave. The reliability of the obtained cave mapping results is confirmed by the numerical simulation results using the finite‐element method.
Extant fruit‐eating birds promote genetically diverse seed rain, but disperse to fewer sites in defaunated tropical forests
Authors: Carvalho Carolina da Silva , García Cristina , Lucas Marília Souza , Jordano Pedro , Côrtes Marina Corrêa 
Published: October 2020

Abstract

The world‐wide decline in populations of large‐bodied vertebrates due to deforestation and poaching threatens the persistence of animal‐dispersed plants by reducing long‐distance seed dispersal and generating aggregated seed rain patterns.

We evaluated whether the composition of maternal trees contributing to the seed rain is also impacted by the loss of large frugivores. By combining molecular tools with a thorough sampling of the frugivore‐generated seed rain we quantified the number of seeds, richness of maternal progenies and number of maternal effective alleles in the seed rain of a tropical palm Euterpe edulis across ten Atlantic Forest remnants with varying levels of avian defaunation and density of palm conspecifics.

Forest structure in defaunated areas was characterized by higher canopy openness. Defaunation did not affect the number of seeds dispersed or of effective alleles, but, together with palm density, was associated with higher numbers of maternal genotypes in the seed rain. This result suggests that medium‐sized birds may play an important role in mixing maternal genotypes where large‐sized frugivores have been extirpated. Defaunation, however, impacted the spatial distribution of seeds, with deposition sites in avian depauperated forests less likely to receive at least one seed.

Synthesis. Our study suggests that medium‐sized frugivores contribute to maintaining the quantitative component of seed dispersal and local genetic diversity of a threatened tropical palm in human degraded forests and, therefore, may be important for guaranteeing the persistence of remnant animal‐dispersed plant populations under scenarios of rapid environmental change. The loss of large‐bodied frugivores, however, can disrupt longer dispersal events and strengthen the dispersal spatial limitation, with consequences for plant spatial distribution and fine‐scale genetic structure at the population level.
Any Portal in a Storm? Collaborative and crowdsourced maps in response to Typhoon Yolanda/Haiyan, Philippines
Authors: Turk Catherine 
Published: October 2020

AbstractThe promises of crowdsourcing volunteered geographic information (VGI) for providing timely information about crises were recognized at least a decade ago. While cartographers and developers hone the accuracy of maps and data, social scientists critique these technologies through various theoretical lenses: in terms of knowledge politics of digital humanitarianism; as tools of neoliberal governance; and as examples of datification supporting automated or remote government. Amidst all these claims, it is time to return to the maps themselves, as empirical examples, considering the information they actually provide. This paper examines crowdsourced and collaborative maps from late 2013 following Typhoon Yolanda/Haiyan in the Philippines. Various humanitarian, mapping, and media organizations produced maps in response to the typhoon. Close qualitative analysis of map content queries what these maps reveal about the disaster and whether the maps really produce the information that proponents claim. Analysis of data curated in each map reveals that much of the situational information being mapped is already available elsewhere and that few new ground truths have emerged through these projects. By demonstrating the limitations of the information mediated in these maps, the findings have practical and policy implications for disaster practitioners and digital volunteers intending to help disaster response.
Integrated transcriptome sequencing and RNA interference reveals molecular changes in Diaphorina citri after exposure to validamycin
Authors: Yu Hai‐Zhong , Xie Yan‐Xin , Wang Jie , Wang Ying , Du Yi‐Min , Wang He‐Gui , Zhong Ba‐Lian , Zhu Bo , Yu Xiu‐Dao , Lu Zhan‐Jun 
Published: October 2020

AbstractValidamycin has been widely used as a specific competitive inhibitor of trehalase. In our previous research, validamycin significantly inhibited trehalase activity and chitin synthesis in Diaphorina citri, resulting in abnormal phenotypes. However, the mechanism of validamycin's action on D. citri remains unclear. Here, using a comparative transcriptome analysis, 464 differentially expressed genes (DEGs) in D. citri were identified after validamycin treatment. A Gene Ontology enrichment analysis revealed that these DEGs were mainly involved in “small molecule process”, “structural molecule activity” and “transition metal ion binding”. DEGs involved in chitin metabolism, cuticle synthesis and insecticide detoxification were validated by reverse transcription quantitative polymerase chain reaction. The RNA interference of D. citri chitinase‐like protein ENO3 and D. citri cuticle protein 7 genes significantly affected D. citri molting. Moreover, the recombinant chitinase‐like protein ENO3 exhibited a chitin‐binding property, and an antimicrobial activity against Bacillus subtilis. This study provides a first insight into the molecular changes in D. citri after exposure to validamycin and identifies two effective RNA interference targets for D. citri control.
Comparison of quality and nutritional attributes of pond‐cultured and container‐cultured snakehead (Channa argus argus) fillets after being boiled, fried, and baked
Authors: Gao Song , Li Dapeng , Hong Hui , Shu Rui , Cheng Hao , Luo Yongkang 
Published: October 2020

AbstractThe objective of this study was to compare the quality and nutritional attributes of snakehead (Channa argus argus) fillets (cultured in ponds and containers) after being heated (boiling, frying, and baking). The results revealed that there were few differences in quality (flavor, color, and texture) and nutritional attributes (content of amino acid, dipeptidyl peptidase IV (DPP‐IV) and angiotensin I‐converting enzyme (ACE) inhibition activity, 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) radical‐scavenging activity) of snakehead fillets obtained from two cultured modes. Container‐cultured samples exhibited more beneficial effects on flavor (more esters) and bioactivity (ACE inhibition and DPPH scavenging activity) than pond‐cultured. Frying increased flavor attributes but decreased nutritional value of fish. Boiling was an effective heating method for increasing quality and nutritional attributes of container‐cultured snakehead fish. Generally, the container‐cultured mode was applicable for culturing snakehead without decreasing quality and nutritional attributes, which deserved more attention.Practical ApplicationThe study provided information about the differences of quality properties (flavor and texture) and nutritional attributes (bioactive functions of simulate‐digested products) of pond‐cultured and container‐cultured snakehead fish after being heated. The results will provide some potential values for the application of container‐cultured technology.
The impact of antibiotic pre‐treatment on diagnostic yield of CT‐guided biopsy for spondylodiscitis: A multi‐centre retrospective study and meta‐analysis
Authors: Wong Hayley , Tarr Gregory P , Rajpal Kunaal , Sweetman Lara , Doyle Anthony 
Published: October 2020

AbstractIntroductionPatients with suspected spondylodiscitis often undergo CT‐guided biopsy to identify a causative microbiological organism. Antibiotic pre‐treatment has been postulated as a cause for a negative biopsy, although previous clinical studies have been heterogenous with a meta‐analysis suggesting no effect. The aim of this study was to assess the impact of antibiotic pre‐treatment on microbiological yield.MethodsRetrospective review of consecutive adult patients undergoing CT‐guided biopsy for suspected spondylodiscitis in two tertiary centres between 2010 and 2016. Demographic, procedural and clinical data were collected. Antibiotic pre‐treatment was ascertained from patient drug charts.ResultsOver the 6‐year period, 104 biopsies in 104 patients were included. 51% had a positive microbiological yield at CT‐guided biopsy, with the most common isolated organism being Staphylococcus aureus (10.6%). Over two thirds of patients (69.3%) were off antibiotics at time of biopsy. There was no significant difference in microbiological yield in those patients on versus off antibiotics (48.2% vs 54.2%, P = 0.55). 10.6% patients had a final diagnosis of Mycobacterium tuberculosis spondylodiscitis, and this organism was significantly associated with a positive microbiological yield (90.9% vs 46.2%, P = 0.01). There was an inverse association between the presence of fever and sepsis with positive microbiological yield.ConclusionsCT‐guided biopsy in suspected spondylodiscitis obtains a positive microbiological yield in about half of patients. This was significantly higher in patients diagnosed with tuberculosis spondylodiscitis, but there was no significant difference with antibiotic pre‐treatment. Therefore, antibiotic pre‐treatment should not preclude clinicians from pursuing a microbiological sample through CT‐guided biopsy.
Unsupervised acoustic classification of individual gibbon females and the implications for passive acoustic monitoring
Authors: Clink Dena J. , Klinck Holger 
Published: October 2020

AbstractPassive acoustic monitoring (PAM) has the potential to greatly improve our ability to monitor cryptic yet vocal animals. Advances in automated signal detection have increased the scope of PAM, but distinguishing between individuals—which is necessary for density estimation—remains a major challenge. When individual identity is known, supervised classification techniques can be used to distinguish between individuals. Supervised methods require labelled training data, whereas unsupervised techniques do not. If the acoustic signals of individuals are sufficiently different, the number of clusters might represent the number of individuals sampled. The majority of applications of unsupervised techniques in animal vocalizations have focused on quantifying species‐specific call repertoires. However, with increased interest in PAM applications, unsupervised methods that can distinguish between individuals are needed.Here we use an existing dataset of Bornean gibbon female calls with known identity from five sites on Malaysian Borneo to test the ability of three different unsupervised clustering algorithms (affinity propagation,K‐medoids and Gaussian mixture model‐based clustering) to distinguish between individuals. Calls from different gibbon females are readily distinguishable using supervised techniques. For internal validation of unsupervised cluster solutions, we calculated silhouette coefficients. For external validation, we compared clustering results with female identity labels using a standard metric: normalized mutual information. We also calculated classification accuracy by assigning unsupervised cluster solutions to females based on which cluster had the highest number of calls from a particular female.We found that affinity propagation clustering consistently outperformed the other algorithms for all metrics used. In particular, classification accuracy of affinity propagation clustering was more consistent as the number of females increased, and when we randomly sampled females across sites.We conclude that unsupervised techniques may be useful for providing additional information regarding individual identity for PAM applications. We stress that although we use gibbons as a case study, these methods will be applicable for any individually distinct vocal animal.
Clinical and Neural Correlates of Reward and Relief Drinking
Authors: Burnette Elizabeth M. , Grodin Erica N. , Schacht Joseph P. , Ray Lara A. 
Published: October 2020

BackgroundAlcohol use disorder (AUD) is heterogenous. One approach to parsing this heterogeneity is to phenotype individuals by their underlying motivation to drink, specifically drinking for reward (i.e., positive reinforcement) or for relief (i.e., negative reinforcement/normalizing). Reward‐ versus relief‐motivated behavior is thought to be associated with a shift from ventral to dorsal striatal (DS) signaling. The present study examined whether reward and relief drinking were differentially associated with other clinical characteristics and with alcohol cue‐elicited activation of the ventral and dorsal striatum.MethodsNon–treatment‐seeking heavy drinkers (N = 184; 61 female, 123 male) completed the UCLA Reward, Relief, Habit Drinking Scale (RRHDS) and the Reasons for Heavy Drinking Questionnaire (RHDQ), to categorize drinking motivation. Measures of alcohol use, alcohol problems, mood, and craving were also collected. A subset of participants (N = 45; 17 female, 28 male) also completed a functional neuroimaging alcohol cue reactivity task.ResultsRRHDS‐designated relief/habit drinkers scored lower than reward drinkers on the RHDQ Reinforcement subscale (p = 0.04) and higher on the RHDQ Normalizing subscale (p = 0.004). Relief/habit drinkers also demonstrated greater AUD severity on a host of clinical measures. Relief/habit drinkers displayed higher cue‐elicited DS activation compared with reward drinkers (p = 0.04), while ventral striatal cue‐elicited activation did not significantly differ between groups.ConclusionsOur findings support and extend the differentiation of reward from relief/habit‐motivated drinking and suggest that differences in DS response to conditioned alcohol cues may underlie this distinction. Elucidating neurobiological and clinical differences between these subtypes may facilitate treatment matching and precision medicine for AUD.