bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Purchasing Power Parity (PPP) and Cryptocurrency Use on Changes in the Transaction Utility of International Tourists
Authors: Muharam Ikram Nur , Tussyadiah Iis 
Published: January 2023

AbstractThis study investigates how exposure to local prices changes the transaction utility of international tourists, and the role of purchasing power parity (PPP) and the use of cryptocurrency in these changes. Findings indicate that tourists’ transaction utility did not vary all that much when they visited a country with comparable PPP to their own. Meanwhile, when traveling to countries with a lower PPP, tourists enjoy a heightened transaction utility. Furthermore, using Bitcoin results in greater transaction utility than using fiat currency.
Daily Deals Usage in the Pandemic Context of the Slovenian Hotels: Technology Adoption Perspective
Authors: Bratec Miha , Baruca Petra Zabukovec , Minor Katarzyna 
Published: January 2023

AbstractThis paper analyses the usage of Daily Deals (DDs) in the COVID-19 pandemic context. A constructivist approach and grounded theory methodology are applied to study the managerial DDs usage in Slovenian hotels. The results show a predominance of organisational and external environmental factors, such as government regulation, linking structures, and industry characteristics, on the usage of DDs. These are shown in a conceptual DDs usage model. The study contributes to the hotel digital marketing literature by merging the two leading technology adoption frameworks to explain the formation of attitude and usage of DDs in a specific pandemic context.
Meaning of Fun in Hotel Gamified Applications
Authors: Parapanos Demos , Michopoulou Elina 
Published: January 2023

AbstractThe hospitality industry faces significant challenges from the acceleration of travelers using mobile technology, especially in the Covid-19 aftermath. Consumer behaviour is changing in the service sector, creating new forms of mobilities and types of tourists. Users are taking advantage of the opportunity to access information easier and faster, anywhere causing new promotional strategies for hospitality businesses. However, it is recognized that the adoption of mobile applications does not guarantee competitive advantage. This research is inspired by the success of mobile games, and the importance of delivering fun. It explores hotel visitors’ meaning of ‘fun’ when using a mobile hotel gamified application. This is to give mobile gamified application developers an indication on the fun elements that would make such a technology engaging with the users. Visual materials were used applying game mechanics and aesthetics in a hotel application helping participants understand how the fun elements are incorporated so they can focus/target on the elements they find more attractive.
Contribution of Network Approach to Tourism Destination Governance
Authors: Gajdošík Tomáš 
Published: January 2023

AbstractA tourism destination is a prototypical complex phenomenon and an ideal object of study of network science. Thanks to recent advances in computer science, this approach is capable of providing the baseline needed to design and govern tourism destinations in a dynamic environment. Although there have been some major contributions to this phenomenon, their scarcity has brought a rather fragmented contribution to tourism destination governance. Therefore, the aim of this paper is to conceptualise the contribution of network approach to tourism destination governance. Based on 10 real and virtual networks of mature tourism destinations in a Central Europe, the article provides areas where the network approach can help the tourism destination governance. Furthermore, it suggests managerial implications from the application of the network approach in the practice of governing a tourism destination.
A Scoping Study of Ethics in Artificial Intelligence Research in Tourism and Hospitality
Authors: Milwood Pauline A. , Hartman-Caverly Sarah , Roehl Wesley S. 
Published: January 2023

AbstractAs e-tourism scholars advance innovative research on the use and study of artificially intelligent systems, it is important to reflect on how well we are advancing transformative philosophies which ask that emerging fields consider issues of ethics, power, and bias. We conduct a scoping study of review papers published between 2015–2021 to understand the extent to which ethical and social bias issues are identified and treated in AI research in tourism. Results suggest that the potential for ethical and bias issues in AI in tourism is high, but identification and treatment of these issues by tourism researchers is weak. We summarize key implications of this trend and offer suggestions for pursuing a research agenda which increasingly identifies and treats issues of ethics and bias when advancing research on artificial intelligence (AI) in tourism.
Tourist Flow Simulation in GAMA Using Historical Data Parameters
Authors: Majic Ivan , Scholz Johannes , Bulbul Rizwan , Wallinger Stefanie 
Published: January 2023

AbstractDecision makers in the tourism sector deal with various issues and need high-quality information to support their decisions. We propose a data-centric approach that analyses historical point of interest (POI) check-in data to determine parameters for an Agent Based Model (ABM). ABM simulation is then run multiple times to simulate possible outcomes in terms of the tourist flow. We have tested the proposed approach on the city of Salzburg using check-in data from Salzburg Card users across 29 POIs. These data were used to parameterize the ABM model with the number of people, the number of POIs a person visits per day, and the preference for selecting POIs to visit. The simulation was performed in GAMA ABM platform and the spatial environment was based on buildings and roads from OpenStreetMap (OSM). Simulation for the duration of 1 day has been repeated 50 times to generate POI visiting patterns. The simulation results have been compared to the ground truth data for the same day and they show that the approach can recreate the long-term pattern of POI visits, but has over-estimated several POIs that had lower visitor counts on that specific day.
Towards Recommender Systems in Augmented Reality for Tourism
Authors: Kalloori Saikishore , Chalumattu Ribin , Yang Felix , Klingler Severin , Gross Markus 
Published: January 2023

AbstractRecent advances in augmented reality have enabled new ways of generating and presenting item recommendations. In tourism, AR applications can, for example, enhance points of interests (POIs) with virtual elements in AR and provide tourists with personalized recommendations for places to visit. In this paper, we present our prototype: a touristic AR application that augments various POIs with digital content and generates context-aware recommendations for POIs in the Niederdorf old town of Zurich, Switzerland. We demonstrate how useful information can be presented to users in an engaging way by combining AR technologies and recommender systems.
Riding Against the Algorithm: Algorithmic Management in On-Demand Food Delivery
Authors: Tuomi Aarni , Jianu Brana , Roelofsen Maartje , Ascenção Mário Passos 
Published: January 2023

AbstractIn many countries, on-demand food delivery platforms (e.g. Deliveroo, Wolt, Uber Eats) have become an inseparable part of the hospitality and tourism ecosystem. A key area of interest in technology research has been how platforms algorithmically manage the interaction between task requesters (e.g. customers, tourists) and task fulfillers (e.g. restaurants and delivery couriers). However, there is a lack of research on how such algorithmic management practices impact workers and what strategies workers adopt to counteract the algorithm. To that end, this qualitative study explores forms of expressing algoactivism in the context of on-demand food delivery platforms by conducting interviews with delivery couriers (n = 5) and restaurant workers and managers (n = 7). It is found that both couriers and hospitality employees adopt specific behaviors to optimize and game the platforms’ algorithms, and that some algorithmic management practices are perceived more negatively than others. Implications for e-tourism management and research are discussed.
Gamification and Innovation Acceptance Among Finnish DMOs - Case King’s Road
Authors: Ahlstén Minna , Heinonen Johanna , Murto Maria 
Published: January 2023

AbstractAccording to Xu, Buhalis & Weber [1], gamification can enhance the on-site tourist experiences and be a marketing tool. However, the use of games in tourism development by DMOs is still an unexplored topic.The King’s Road in Finland combines the idea of gamified and storified live experiences with a video game. The development idea of a video game introduces King’s Road to a broader audience. The idea of a storified mobile game leads tourists on-site and rebuilds historical sites with augmented reality while leading tourists to less crowded attractions.This paper aims to provide new insights and increase understanding of gamification in tourism. To understand the innovation acceptance among Finnish DMOs, the gamified concept idea of King’s Road was presented to them. With the inductive approach, their feedback was analysed thematically. The findings highlight the obstacles and possibilities of the proposed gamification concept from the DMOs’ point of view. This paper aims to extend the previous research in innovation acceptance by identifying the level of acceptance regarding gamification in this case study and presenting solutions to advance it. Hence, this knowledge works as a basis for future research and development.
What Makes Potential Tourists Trust the Managerial Response of the Hotel? - The Three-Way Interaction of Ability, Benevolence, and Integrity
Authors: Yhee Yerin , Kim Hyemin , Kim Jungkeun , Koo Chulmo 
Published: January 2023

AbstractPotential customers are likely to rely on online reviews as e-WOM. While review from negative consumer has an impact on customers’ decision-making, the response of hotel to negative review is also perceived as a signal of restoring trust. Although three dimensions of trust (ability, benevolence, and integrity) have significant effects on the overall trust of consumers, it is still an open issue how the three variables interact. To fill this gap, current study investigates a three-way interaction effect of the dimension of trusting belief in managerial responses by experimental analyses. The results suggest that the hotel’s ability to handle the issue is the most important consideration for hotel management. Attitude toward hotels is high even if only one of benevolence and integrity is high under conditions of high ability. In contrast, attitude is only high when both other dimensions are high simultaneously. This study has implications for understanding the distinct effect of each dimension of trusting belief in online review systems and providing insights into effective managerial response strategies from the perspective of trust.
Mixed-state entanglement and information recovery in thermalized states and evaporating black holes
Authors: Vardhan Shreya , Kudler-Flam Jonah , Shapourian Hassan , Liu Hong 
Published: January 2023

Abstract
We study the universal behavior of quantum information-theoretic quantities in thermalized isolated quantum many-body systems and evaporating black holes. In particular, we study a genuine mixed-state entanglement measure called the logarithmic negativity, other correlation measures including the Renyi negativities and the mutual information, and a signature of multipartite entanglement called the reflected entropy. We also probe the feasibility of recovering quantum information from subsystems of a thermalized quantum many-body system or from the radiation of an evaporating black hole, using quantities such as relative entropy and Petz map fidelity. A recently developed technique called the equilibrium approximation allows us to probe these quantities at finite temperature. We find striking qualitative differences from the infinite temperature case, which has been the topic of previous studies using Haar-random states. In particular, we find regimes where the logarithmic negativity is extensive but the mutual information is sub-extensive, indicating a large amount of undistillable, bound entanglement in thermalized states. For evaporating black holes at finite temperature, both the logarithmic negativity and the Petz map fidelity reveal an important new time scale tb, which is earlier than the Page time tp by a finite fraction of the total evaporation time. We find that tb, as opposed to tp, is the time scale at which quantum entanglement between different parts of the radiation becomes extensive, and the fidelity of information recovery for a large diary thrown into the black hole starts to grow.
Reflected entropy in random tensor networks. Part II. A topological index from canonical purification
Authors: Akers Chris , Faulkner Thomas , Lin Simon , Rath Pratik 
Published: January 2023

Abstract
In ref. [1], we analyzed the reflected entropy (SR) in random tensor networks motivated by its proposed duality to the entanglement wedge cross section (EW) in holographic theories, $$ {S}_R=2\frac{EW}{4G} $$

S
R

=
2

EW

4
G

. In this paper, we discover further details of this duality by analyzing a simple network consisting of a chain of two random tensors. This setup models a multiboundary wormhole. We show that the reflected entanglement spectrum is controlled by representation theory of the Temperley-Lieb algebra. In the semiclassical limit motivated by holography, the spectrum takes the form of a sum over superselection sectors associated to different irreducible representations of the Temperley-Lieb algebra and labelled by a topological index k ∈ ℤ>0. Each sector contributes to the reflected entropy an amount $$ 2k\frac{EW}{4G} $$
2
k

EW

4
G

weighted by its probability. We provide a gravitational interpretation in terms of fixed-area, higher-genus multiboundary wormholes with genus 2k – 1 initial value slices. These wormholes appear in the gravitational description of the canonical purification. We confirm the reflected entropy holographic duality away from phase transitions. We also find important non-perturbative contributions from the novel geometries with k ≥ 2 near phase transitions, resolving the discontinuous transition in SR. Along with analytic arguments, we provide numerical evidence for our results. We finally speculate that signatures of a non-trivial von Neumann algebra, connected to the Temperley-Lieb algebra, will emerge from a modular flowed version of reflected entropy.
Cardiovascular outcomes in type 1 and type 2 diabetes
Authors: Rosengren Annika , Dikaiou Pigi 
Published: January 2023

AbstractDiabetes is one of the most prevalent cardiometabolic disorders on the planet. Type 1 diabetes accounts for only a minority of all cases (recently estimated to be ~2% globally); however, since this is a disorder with an early onset, many people live with type 1 diabetes for a long time. CVD and premature death are the main long-term outcomes for both types of diabetes; however, the type of diabetes that carries the highest risk of these outcomes is a controversial topic and has not been widely studied. Because of the association between diabetes and CVD, the rise in type 2 diabetes prevalence over the past decades has huge effects on global health. The excess risk in people with diabetes compared with those without depends, to a large extent, on the presence of other factors, such as general cardiovascular risk factors (e.g. elevated LDL-cholesterol, hypertension and smoking) and also factors that are more specific to diabetes (e.g. HbA1c, and micro- and macroalbuminuria). Some contributory factors are modifiable, while others are not, such as age, sex and type of diabetes. Older people with type 2 diabetes who have risk factors that are under control can achieve levels of CVD risk that are similar to that of the general population, while younger individuals with type 1 diabetes are mostly unable to achieve similar levels of risk, probably because of long and cumulative exposure to raised blood glucose levels. Despite reports of declining rates of CVD among people with type 1 and type 2 diabetes, rising rates of both types of diabetes lead to a continuing rise in the number of people with cardiometabolic disorders worldwide, offsetting the progress made in many countries. Comparison between individuals with type 1 and type 2 diabetes with respect to risk of CVD is fraught with difficulties and highly dependent on other, concomitant factors, some of which are modifiable and others not. Nonetheless, as a whole, what matters most in determining the management of diabetes is absolute risk and lifetime risk. Life-long efforts to achieve glycaemic control, control of lipids and hypertension, and not smoking are key to prevention, with a healthy lifestyle and pharmacological therapy to be implemented as needed.
Graphical abstract
Use of red grape pulp, marc and must in the production of beer
Authors: Cioch-Skoneczny Monika , Sral Anna , Cempa Arkadiusz , Rzadkowska Justyna , Satora Paweł , Skoneczny Szymon 
Published: January 2023

AbstractThe aim of the paper was to determine the potential of using grape pulp, marc and must in the beer production process. Samples were fermented using non-Saccharomyces yeasts (Dekkera bruxellensis 3429, Metschnikowia pulcherrima MG970690), while Saccharomyces cerevisiae Safale US-05 was used as a control. Grape marc was obtained by pressing grape must. The grape marc, must and pulp were pasteurized and, together with wort, volumetrically introduced into fermentation flasks for fermentation. Mass changes taking place during the process were analyzed. Real extract, alcohol content, free amino nitrogen (FAN) content, titratable acidity, pH, color, organic acid profile and content of sugars were determined in obtained beers. The addition of grape marc, must and pulp increased the value of most of the tested parameters. It did not adversely affect the fermentation process. This offers the possibility of using grape marc, must and pulp in the brewing industry, even with the use of non-Saccharomyces yeast monocultures.
Between-group variation in production of pant-grunt vocalizations by wild bonobos (Pan paniscus)
Authors: Schamberg Isaac , Clay Zanna , Townsend Simon W. , Surbeck Martin 
Published: January 2023

AbstractThe potential for aggression is inherent in social interaction, and strategies to reduce the costs of aggression are ubiquitous among group-living animals. One strategy employed by lower-ranking individuals in a variety of species is the production of subordination signals, which are formal signals that communicate the signaler’s inferior status relative to the recipient of the signal. Here, we report the results of our investigations into (1) the presence and usage of the pant-grunt vocalization in two populations of wild bonobos; (2) the relationship between the production of pant-grunts and agonistic predictability across the genusPan. We find stark differences in production of pant-grunts in the two populations: bonobos at the LuiKotale field site regularly used pant-grunts as a signal of subordination (primarily, though not exclusively, among male-male dyads); in contrast, at the Kokolopori field site, adult bonobos were never observed producing pant-grunts. AcrossPan, we find weak support for an association between agonistic predictability and production of pant-grunt vocalizations.Significance statementThere have been conflicting reports on whether bonobos, like chimpanzees, produce the submissive pant-grunt vocalization. We confirm the presence of the pant-grunt in the bonobo vocal repertoire, and document variation in its production across communities. We also suggest that variation in pant-grunt production across the genusPanmay be explained by the predictability of dominance interactions.
Validation of a semi-automatic method to measure total liver volumes in polycystic liver disease on computed tomography — high speed and accuracy
Authors: Aapkes Sophie E. , Barten Thijs R. M. , Coudyzer Walter , Drenth Joost P. H. , Geijselaers Ivo M. A. , ter Grote Sterre A. M. , Gansevoort Ron T. , Nevens Frederik , van Gastel Maatje D. A. 
Published: January 2023

Abstract
Objectives
Polycystic liver disease (PLD) is characterized by growth of hepatic cysts, causing hepatomegaly. Disease severity is determined using total liver volume (TLV), which can be measured from computed tomography (CT). The gold standard is manual segmentation which is time-consuming and requires expert knowledge of the anatomy. This study aims to validate the commercially available semi-automatic MMWP (Multimodality Workplace) Volume tool for CT scans of PLD patients.

Methods
We included adult patients with one (n = 60) or two (n = 46) abdominal CT scans. Semi-automatic contouring was compared with manual segmentation, using comparison of observed volumes (cross-sectional) and growth (longitudinal), correlation coefficients (CC), and Bland-Altman analyses with bias and precision, defined as the mean difference and SD from this difference. Inter- and intra-reader variability were assessed using coefficients of variation (CV) and we assessed the time to perform both procedures.

Results
Median TLV was 5292.2 mL (IQR 3141.4–7862.2 mL) at baseline. Cross-sectional analysis showed high correlation and low bias and precision between both methods (CC 0.998, bias 1.62%, precision 2.75%). Absolute volumes were slightly higher for semi-automatic segmentation (manual 5292.2 (3141.4–7862.2) versus semi-automatic 5432.8 (3071.9–7960.2) mL, difference 2.7%, p < 0.001). Longitudinal analysis demonstrated that semi-automatic segmentation accurately measures liver growth (CC 0.908, bias 0.23%, precision 4.04%). Inter- and intra-reader variability were small (2.19% and 0.66%) and comparable to manual segmentation (1.21% and 0.63%) (p = 0.26 and p = 0.37). Semi-automatic segmentation was faster than manual tracing (19 min versus 50 min, p = 0.009).

Conclusions
Semi-automatic liver segmentation is a fast and accurate method to determine TLV and liver growth in PLD patients.

Key Points
• Semi-automatic liver segmentation using the commercially available MMWP volume tool accurately determines total liver volume as well as liver growth over time in polycystic liver disease patients.
• This method is considerably faster than manual segmentation through the use of Hounsfield unit settings.
• We used a real-life CT set for the validation and showed that the semi-automatic tool measures accurately regardless of contrast used for the CT scan or not, presence of polycystic kidneys, liver volume, and previous invasive treatment for polycystic liver disease.