bluuebunny/crossref_metadata_2025_split huggingface dataset:
Big Data in Real Time for the Management of Tourist Destinations: The TOURETHOS Platform Technological Model
Authors: Hernández-Cabrera José Juan , Plácido-Castro Ana María , Bulchand-Gidumal Jacques 
Published: June 2024

AbstractBig data is one of the main existing promises for improving the management of tourist destinations. The acquisition of large amounts of data from different sources, their consolidation and exploitation by means of artificial intelligence algorithms will allow the achievement of various objectives for destination management, such as understanding tourist flows, an increase and better distribution of tourist spending, improving the quality of life of residents and achieving better sustainability. Additional benefits could even be obtained if this big data were to be managed in real time. To achieve these objectives, it is necessary to have high quality and reliable data sources. This article describes a technological platform called Tourethos, which allows active collaboration between different stakeholders to collect data on the movements of tourists in the territory based on their connections to Wi-Fi networks in the area. This data source has interesting and valuable characteristics: it is relatively simple to collect, it can be easily anonymized and it offers a sufficient level of precision to draw valuable conclusions for the management of tourist destinations in real time.
Framework for a Tourism Intelligence System Based on Knowledge Governance: A Conceptual Model
Authors: Emmendoerfer Luana , Biz Alexandre Augusto , de Sá Ferreira Patrícia 
Published: June 2024

AbstractThe objective of this article is to present a framework of Tourism Intelligence System (TIS) with support in Knowledge Governance (GovC) to support decision making in tourist destinations. The form of cooperation and use of knowledge should be structured through mechanisms that allow availability and reliability. The methodological framework is structured in Design Science Research (DSR) of technological and applied nature, with data collection method using a qualitative approach, classified as exploratory and descriptive, from the validation of semi-structured interviews with experts in the tourism sector and technology. This architecture was composed of three layers: knowledge application, knowledge generation and application, and knowledge generation. It focuses on the extraction of data generated by the tourist trip in the pre-trip, during trip, and post-trip phases, using Knowledge Management (KM) processes such as knowledge identification, acquisition, and use. The GovC aspect considered the mechanisms aimed at the sustainability and evolution of the TIS, as well as the hybrid structure through network and market formation, by means of knowledge centers with actors involved in the segments of the tourism production chain.
Funding Policies, Tourism Entrepreneurship and Innovation in the Territory: Emprendetur (Spain)
Authors: Figueroa-Domecq Cristina , Fuentes-Moraleda Laura , González-Rodríguez María Rosario , Flecha-Barrio María Dolores 
Published: June 2024

AbstractInnovation is a vehicle for modernization and competitiveness in tourism and, even so, the report on Tourism Innovation and Smart Specialization of SEGITTUR and COTEC (2021) confirms that the tourism sector does not innovate enough. This article evaluates the call for funding for tourism entrepreneurship Emprendetur, developed by SEGITTUR (2012–2016). Through an exploratory analysis, the objective is to examine the geographical distribution of tourism entrepreneurship and innovation, as well as the type of innovation developed in each territory and the success in obtaining funding for these innovations. The main conclusion of the study is that there is a geographical inequality in the distribution of entrepreneurship and innovation in tourism in Spain. There is a concentration of applications from entrepreneurs in urban areas such as Madrid and Catalonia, as well as greater success of these applications, due to a greater emphasis on entrepreneurship and innovation focused on Information and Communication Technologies (ICTs). These results show how the design of policies to support innovation in tourism must consider regional disparities, to close the gaps generated and promote sustainable and egalitarian development.
The Why, the How and the When of Educational Process Mining in R
Authors: López-Pernas Sonsoles , Saqr Mohammed 
Published: June 2024

AbstractThis chapter presents the topic of process mining applied to learning analytics data. The chapter begins by introducing the fundamental concepts of the method, with a focus on event log construction and visual representation using directly-follows graphs. A review of the existing literature on educational process mining is also presented to introduce the reader to the state of the art of the field. The chapter follows with a guided tutorial in R on how to apply process mining to trace log data extracted from an online learning management system. The tutorial uses the framework for data handling and visualization. We finish the chapter with a reflection on the method and its reliability and applicability.
Epistemic Network Analysis and Ordered Network Analysis in Learning Analytics
Authors: Tan Yuanru , Swiecki Zachari , Ruis A. R. , Shaffer David 
Published: June 2024

AbstractThis chapter provides a tutorial on conducting epistemic network analysis (ENA) and ordered network analysis (ONA) using R. We introduce these two techniques together because they share similar theoretical foundations, but each addresses a different challenge for analyzing large-scale qualitative data on learning processes. ENA and ONA are methods for quantifying, visualizing, and interpreting network data. Taking coded data as input, ENA and ONA represent associations between codes in undirected or directed weighted network models, respectively. Both techniques measure the strength of association among codes and illustrate the structure of connections in network graphs, and they quantify changes in the composition and strength of those connections over time. Importantly, ENA and ONA enable comparison of networks both visually and via summary statistics, so they can be used to explore a wide range of research questions in contexts where patterns of association in coded data are hypothesized to be meaningful and where comparing those patterns across individuals or groups is important.
An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysis
Authors: Scrucca Luca , Saqr Mohammed , López-Pernas Sonsoles , Murphy Keefe 
Published: June 2024

AbstractHeterogeneity has been a hot topic in recent educational literature. Several calls have been voiced to adopt methods that capture different patterns or subgroups within students’ behavior or functioning. Assuming that there is “an average” pattern that represents the entirety of student populations requires the measured construct to have the same causal mechanism, same development pattern, and affect students in exactly the same way. Using a person-centered method (finite Gaussian mixture model or latent profile analysis), the present tutorial shows how to uncover the heterogeneity within engagement data by identifying three latent or unobserved clusters. This chapter offers an introduction to the model-based clustering that includes the principles of the methods, a guide to choice of number of clusters, evaluation of clustering results and a detailed guide with code and a real-life dataset. The discussion elaborates on the interpretation of the results, the advantages of model-based clustering as well as how it compares with other methods.
Primal and dual mixed-integer least-squares: distributional statistics and global algorithm
Authors: Teunissen P. J. G. , Massarweh L. 
Published: June 2024

AbstractIn this contribution we introduce the dual mixed-integer least-squares problem and study it in relation to its primal counterpart. The dual differs from the primal formulation in the order in which the integer ambiguity vector$$a \in {\mathbb {Z}}^{n}$$a∈Znand baseline vector$$b \in {\mathbb {R}}^{p}$$b∈Rpare estimated. As not the ambiguities, but rather the entries ofbare usually the parameters of interest, the attractiveness of the dual formulation stems from its direct computation ofb. It is shown that this potential advantage relies on the ease with which an implicit integer least-squares problem of the dual can be solved. For the convoluted cases, we introduce two methods of simplifying approximations. To be able to describe their quality, we provide a complete distributional analysis of their estimators, thus allowing users to judge whether or not the approximations are acceptable for their application. It is shown that this approach implicitly introduces a new class of admissible integer estimators of which we also determine the pull-in regions. As the dual function is shown to lack convexity, special care is required to be able to compute its global minimizer$${\check{b}}$$bˇ. Our proposed method, which has finite termination with a guaranteed$$\epsilon $$ϵ-tolerance, is constructed from combining the branch-and-bound principle, with a special convex-relaxation of the dual, to which the projected-gradient-descent method is applied to obtain the required bounds. Each of the method’s three constituents are described, whereby special emphasis is given to the construction of the required continuously differentiable, convex lower bounding function of the dual.
Transarterial Radioembolization (TARE) Global Practice Patterns: An International Survey by the Cardiovascular and Interventional Radiology Society of Europe (CIRSE)
Authors: Keane Grace , Lam Marnix , Braat Arthur , Bruijnen Rutger , Kaufmann Nathalie , de Jong Hugo , Smits Maarten 
Published: June 2024

Abstract
Purpose
An international survey was conducted by the Cardiovascular Interventional Radiological Society of Europe (CIRSE) to evaluate radioembolization practice and capture opinions on real-world clinical and technical aspects of this therapy.

Materials and Methods
A survey with 32 multiple choice questions was sent as an email to CIRSE members between November and December 2022. CIRSE group member and sister societies promoted the survey to their local members. The dataset was cleaned of duplicates and entries with missing data, and the resulting anonymized dataset was analysed. Data were presented using descriptive statistics.

Results
The survey was completed by 133 sites, from 30 countries, spanning 6 continents. Most responses were from European centres (87/133, 65%), followed by centres from the Americas (22/133, 17%). Responding sites had been performing radioembolization for 10 years on average and had completed a total of 20,140 procedures over the last 5 years. Hepatocellular carcinoma treatments constituted 56% of this total, colorectal liver metastasis 17% and cholangiocarcinoma 14%. New sites had opened every year for the past 20 years, indicating the high demand for this therapy. Results showed a trend towards individualized treatment, with 79% of responders reporting use of personalized dosimetry for treatment planning and 97% reporting routine assessment of microsphere distribution post-treatment. Interventional radiologists played an important role in referrals, being present in the referring multi-disciplinary team in 91% of responding centres.

Conclusion
This survey provides insight into the current state of radioembolization practice globally. The results reveal the increasing significance placed on dosimetry, evolving interventional techniques and increased technology integration.

Graphical Abstract
Higher-Order Network Interactions Through Phase Reduction for Oscillators with Phase-Dependent Amplitude
Authors: Bick Christian , Böhle Tobias , Kuehn Christian 
Published: June 2024

AbstractCoupled oscillator networks provide mathematical models for interacting periodic processes. If the coupling is weak, phase reduction—the reduction of the dynamics onto an invariant torus—captures the emergence of collective dynamical phenomena, such as synchronization. While a first-order approximation of the dynamics on the torus may be appropriate in some situations, higher-order phase reductions become necessary, for example, when the coupling strength increases. However, these are generally hard to compute and thus they have only been derived in special cases: This includes globally coupled Stuart–Landau oscillators, where the limit cycle of the uncoupled nonlinear oscillator is circular as the amplitude is independent of the phase. We go beyond this restriction and derive second-order phase reductions for coupled oscillators for arbitrary networks of coupled nonlinear oscillators with phase-dependent amplitude, a scenario more reminiscent of real-world oscillations. We analyze how the deformation of the limit cycle affects the stability of important dynamical states, such as full synchrony and splay states. By identifying higher-order phase interaction terms with hyperedges of a hypergraph, we obtain natural classes of coupled phase oscillator dynamics on hypergraphs that adequately capture the dynamics of coupled limit cycle oscillators.
Long-term climatological trends driving the recent warming along the Angolan and Namibian coasts
Authors: Tomety Folly Serge , Illig Serena , Ostrowski Marek , Awo Founi Mesmin , Bachèlery Marie-Lou , Keenlyside Noel , Rouault Mathieu 
Published: June 2024

AbstractThe coastal regions off Angola and Namibia are renowned for their highly productive marine ecosystems in the southeast Atlantic. In recent decades, these regions have undergone significant long-term changes. In this study, we investigate the variability of these long-term changes throughout the annual cycle and explore the underlying mechanisms using a 34-year (1982–2015) regional ocean model simulation. The results reveal a clear seasonal dependence of sea surface temperature (SST) trends along the Angolan and Namibian coasts, with alternating positive and negative trends. The long-term warming trend in the Angolan coastal region is mainly explained by a pronounced warming trend in the austral spring and summer (November-January), while the decadal trend off Namibia results from a counterbalance of an austral winter cooling trend and an austral summer warming trend. A heat budget analysis of the mixed-layer temperature variations shows that these changes are explained by a long-term modulation of the coastal currents. The Angolan warming trend is mainly explained by an intensification of the poleward coastal current, which transports more warm equatorial waters towards the Angolan coast. Off Namibia, the warming trend is attributed to a reduction in the northwestward Benguela Current, which advects cooler water from the south to the Namibian coast. These changes in the coastal current are associated with a modulation of the seasonal coastal trapped waves that are remotely-forced along the equatorial waveguide. These long-term changes may have significant implications for local ecosystems and fisheries.
The Merensky-Bastard interval at Hackney, eastern Bushveld Complex: results of a combined Sr–Nd-isotopic investigation
Authors: Magson Justine , Roelofse Frederick , Bybee Grant , Bolhar Robert 
Published: June 2024

AbstractThe Merensky and Bastard reefs of the Bushveld Complex occur within what has been called a transitional macro-unit along the boundary of the Critical and Main zones. The transitional unit is characterised by a geochemical hiatus recording distinct inflections in mineral chemistry and isotopic compositions. Previously these inflections in mineral chemistry and changes in isotopic compositions were attributed mostly to the influx of a magma that was compositionally distinct from the resident magma and that was parental to the Main Zone of the complex. Sr-isotopic variations across this interval have been particularly well-studied, but despite this, little consensus exists regarding the petrogenesis and metallogenesis of this economically important interval. Here we report whole-rock Sr–Nd-isotopic, major- and trace element geochemical and mineral chemical data across the Merensky-Bastard interval as intersected by borehole BH8172 on the farm Hackney in the eastern Bushveld Complex. Variations in whole-rock Cr/MgO values and initial Sr isotopic ratios across the interval are consistent with the results of previous studies that argued for the co-accumulation of minerals from compositionally and isotopically distinct magmas, of Critical and Main Zone lineages, respectively. In our model, a magma of Critical Zone affinity enters the chamber causing erosion along the chamber floor. Orthopyroxene and plagioclase crystallise from the Critical Zone magma to form the Merensky Reef, as suggested by high whole-rock Cr/MgO ratios (> 80) and unradiogenic Sr-isotopic compositions (87Sr/86Sri < 0.7068). A plagioclase-laden magma of Main Zone affinity subsequently intruded the chamber as a basal flow, elevating the resident Critical Zone magma. Plagioclase within the former floated, forming a solid raft onto which the Bastard Reef was deposited, a model that is entirely consistent with density considerations and an upward increase in the An-content of plagioclase as observed in the anorthositic package between the Merensky and Bastard reefs. From a metallogenetic viewpoint, this would imply that the Main Zone could not have been the source of the PGEs within the Merensky Reef.
Studies on the effect of curcumin and quercetin in the liver of male albino rats exposed to gamma irradiation
Authors: El-Hady Amr M. Abd , Azzoz Rady M. , Soliman Saeed M. , Abdelrahman Ibrahim Y. , Khalil Wafaa M. , Ali Said A. 
Published: June 2024

AbstractIonizing radiation produces deleterious effects on living organisms. The present investigation has been carried out to study the prophylactic as well as the therapeutic effects of treated rats with quercetin (Quer) and curcumin (Cur), which are two medicinal herbs known for their antioxidant activities against damages induced by whole-body fractionated gamma irradiation. Exposure of rats to whole-body gamma irradiation induced a significant decrease in erythrocyte (RBC), leukocyte (WBCs), platelet count (Plt), hemoglobin concentration (Hb), hematocrit (Hct %), mean erythrocyte hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and mean erythrocyte volume (MCV); a high increase in plasma thiobarbituric acid reactive substances (TBARS); a nonsignificant statistical decrease in the mean value of serum glutathione (GSH); a significant increase in plasma alanine transferase (ALT), aspartate transferase (AST), alkaline phosphates (ALP), serum total protein, serum total cholesterol levels, total triglycerides levels, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels; and with marked histological changes and structural changes measured by Fourier transform infrared (FTIR). Applying both quercetin and curcumin pre- and postexposure to gamma radiation revealed a remarkable improvement in all the studied parameters. The cellular damage by gamma radiation is greatly mitigated by the coadministration of curcumin and quercetin before radiation exposure.
Liver cancer from the perspective of single-cell sequencing: a review combined with bibliometric analysis
Authors: Ji Yanwei , An Qi , Wen Xinyu , Xu Zhou , Xia Zhengyuan , Xia Zhongyuan , Hu Qinyong , Lei Shaoqing 
Published: June 2024

Abstract
Background
Liver cancer (LC) is a prevalent malignancy and a leading cause of cancer-related mortality worldwide. Extensive research has been conducted to enhance patient outcomes and develop effective prevention strategies, ranging from molecular mechanisms to clinical interventions. Single-cell sequencing, as a novel bioanalysis technology, has significantly contributed to the understanding of the global cognition and dynamic changes in liver cancer. However, there is a lack of bibliometric analysis in this specific research area. Therefore, the objective of this study is to provide a comprehensive overview of the knowledge structure and research hotspots in the field of single-cell sequencing in liver cancer research through the use of bibliometrics.

Method
Publications related to the application of single-cell sequencing technology to liver cancer research as of December 31, 2023, were searched on the web of science core collection (WoSCC) database. VOSviewers, CiteSpace, and R package “bibliometrix” were used to conduct this bibliometric analysis.

Results
A total of 331 publications from 34 countries, primarily led by China and the United States, were included in this study. The research focuses on the application of single cell sequencing technology to liver cancer, and the number of related publications has been increasing year by year. The main research institutions involved in this field are Fudan University, Sun Yat-Sen University, and the Chinese Academy of Sciences. Frontiers in Immunology and Nature Communications is the most popular journal in this field, while Cell is the most frequently co-cited journal. These publications are authored by 2799 individuals, with Fan Jia and Zhou Jian having the most published papers, and Llovet Jm being the most frequently co-cited author. The use of single cell sequencing to explore the immune microenvironment of liver cancer, as well as its implications in immunotherapy and chemotherapy, remains the central focus of this field. The emerging research hotspots are characterized by keywords such as 'Gene-Expression', 'Prognosis', 'Tumor Heterogeneity', 'Immunoregulation', and 'Tumor Immune Microenvironment'.

Conclusion
This is the first bibliometric study that comprehensively summarizes the research trends and developments on the application of single cell sequencing in liver cancer. The study identifies recent research frontiers and hot directions, providing a valuable reference for researchers exploring the landscape of liver cancer, understanding the composition of the immune microenvironment, and utilizing single-cell sequencing technology to guide and enhance the prognosis of liver cancer patients.