bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors Influencing the Use of Digital Marketing by Telemedicine Services
Authors: Zafeiria Papadaki , Anastasiadou Sofia , Masouras Andreas , Papalexandris Stylianos 
Published: May 2024

AbstractDigital Marketing has offered additional existence to Telemedicine Services as well as health care services by improving their visibility in the virtual frame. Digital Marketing has offered unbelievable opportunities in the present decade. The concept of e-health service, e-patient, e-health, e-healthcare providers are more than familiar to individuals. In the matter-of-fact telemedicine has enhanced substantially, reaching over a percentage of 30% comparing the conventional medicine. The need to use telemedicine in times of pandemics, natural disasters, earthquakes and even war is also deemed imperative. For instance, during the period of the COVID-19 pandemic, the health system has changed radically as result of digitization processes and produced not only innovative products, but also new service practices and business models, replacing conventional structures. The quality of digital services and the customers’ satisfaction, e-patience’s, in our case, are the most principal parameters for digital marketing. Also, important elements for digital marketing are the willingness of customers to recommend telemedicine services to family, relatives, friends, colleagues, on social media, the addition for future use of the services, etc. The factors included in this research were the result of an extensive review of the international literature. This process resulted in a conceptual framework consisting of 9 factors (e.g. Perceived innovation (Compatibility), Willingness to recommend (Advocacy), Perceived Credibility, Perceived Risk, Use Intention, Risk Acceptance, Information Sharing, Perceived Risk, Perceived Usefulness). Tο test the research hypotheses, a survey was conducted on 412 participants. The results confirmed the proposed model. Digital marketers can use the above model to design and organize digital healthcare services for the benefit of the e-patient.
Factors Influencing the Acceptance of Blockchain Technology in the Tourism Industry
Authors: Christou Dimitra , Antoniadis Ioannis , Saprikis Vaggelis 
Published: May 2024

AbstractThis study investigates the acceptance of blockchain technology in the tourism industry, focusing on the role of intention and trust in influencing its acceptance. Through a literature review and quantitative analysis using regression analysis, key factors catalyzing the acceptance of blockchain technology in tourism were identified. Notably, individuals engaged in travel for entertainment showed lower intention to accept blockchain solutions. Trust in this technology within the tourism industry is observed to stem from individuals with prior experience in its usage. The research offers valuable insights for scholars studying blockchain technology in tourism and for enterprises and organizations seeking to embrace innovative solutions for enhancing operational efficiency. Moreover, nationality emerges as a potentially influential factor, warranting further exploration in future studies. Overall, this study contributes to the understanding of the potential of blockchain technology in tourism and provides insights for enterprises and organizations seeking to adopt innovative solutions.
Attitudes and Perceptions of Messenia’s Residents on the Impacts Caused by Alternative Forms of Tourism
Authors: Anagnostopoulou Ioanna , Gdonteli Krinanthi , Athanasopoulou Pinelopi 
Published: May 2024

AbstractAlternative forms of tourism are associated with environmental and cultural values that allow both the community and tourists to interact with each other and share their experiences. Framed by Butler’s Social Exchange Theory, this preliminary quantitative study examines the attitudes and perceptions of Messenia’s Prefecture’s residents, regarding the economic, environmental, and social, impacts caused by alternative tourism activities. The research tool was based on a review of relevant literature, and explored the social (10 items), economic (6 items) and environmental negative impacts (14 items) and the agreement to the statements were based on a five-point Likert scale ranging from strongly agree to strongly disagree. The sample consisted of 112 permanent residents of Messenia Prefecture that were selected by random sampling. The study indicated that the major concern of participants towards the impacts of alternative tourism activities were the negative economic impacts. A positive correlation was observed between the negative social impacts of tourism and the participants’ income. Overall, most residents will be satisfied with a tourism increase in their region when if the economic benefits outweigh the negative impacts. This research attempts to identify the residents’ perceptions on tourism negative impacts where local authorities and stakeholders can consider the perceived implications, for the well-being of local communities.
Basic equations
Authors: Rapp Christoph 
Published: May 2024

AbstractIn Chapter 5 basic fluid mechanical equations are derived step by step. First, the continuity equation is deduced with the help of a ballon which passes through a constriction. Second, Cauchy’s equation of motion is set up with the stresses acting on a fluid volume which is described once more with a balloon that moves upon application of stress and gravity. The constitutive equation which describes the properties of the fluid considered is elaborated also from the scratch. With the above mentioned steps, it is easy to reach to the Euler and Navier-Stokes equations from which the Bernoulli and the momentum equation are derived.
Polyphased gold enrichment as a key process for high-grade gold formation: Insights from the 10 Moz Jundee-Bogada camp (Yilgarn Craton, Western Australia)
Authors: Sumail  , Thébaud Nicolas , Masurel Quentin , Petrella Laura , le Roux Peter , Stott Chris 
Published: May 2024

AbstractHigh-grade (> 10 g/t) gold mineralization in orogenic gold deposits is of significant economic importance. Understanding the formation of such enriched ore zones is critical for gold exploration success. The world-class Jundee-Bogada gold camp in the Yilgarn Craton of Western Australia comprises both high-grade (avg. > 10 g/t, Jundee deposit) and low-grade (avg. < 3 g/t, Bogada prospect) lodes, despite shared host stratigraphy. The paragenetic framework established for the Jundee gold deposit suggests that the overall gold endowment developed over three deformation events. An early episode of low-grade gold mineralization is associated with colloform-crustiform veins that formed during extensional deformation (DJB2A). A switch to transtensional deformation (DJB2B) resulted in brecciation of the colloform-crustiform veins and coeval deposition of native gold. Late reverse faults record evidence for a third mineralization stage resulting from a NE-SW-directed shortening (DJB3). Mineralization during this late stage was dominantly low-grade, with local occurrences of ultra-high-grade ore zones (> 100 g/t). Each event records transient changes in fluid chemistry during continued hydrothermal activity that spanned local deformation histories. We argue that at the Jundee gold deposit, protracted gold enrichment during three polyphased mineralization episodes resulted in the formation of high-grade gold ores. Whereas the complete metallogenic history is recorded at the Jundee deposit, gold within the Bogada prospect was introduced solely during the late contractional stage (DJB3), resulting in a bulk low-grade endowment. We hypothesize that gold enrichment in high-grade orogenic gold deposits is a direct consequence of the spatial superimposition of protracted ore-forming events.
Therapeutic peptides for coronary artery diseases: in silico methods and current perspectives
Authors: Aslan Ayca , Ari Yuka Selcen 
Published: May 2024

AbstractMany drug formulations containing small active molecules are used for the treatment of coronary artery disease, which affects a significant part of the world’s population. However, the inadequate profile of these molecules in terms of therapeutic efficacy has led to the therapeutic use of protein and peptide-based biomolecules with superior properties, such as target-specific affinity and low immunogenicity, in critical diseases. Protein‒protein interactions, as a consequence of advances in molecular techniques with strategies involving the combined use of in silico methods, have enabled the design of therapeutic peptides to reach an advanced dimension. In particular, with the advantages provided by protein/peptide structural modeling, molecular docking for the study of their interactions, molecular dynamics simulations for their interactions under physiological conditions and machine learning techniques that can work in combination with all these, significant progress has been made in approaches to developing therapeutic peptides that can modulate the development and progression of coronary artery diseases. In this scope, this review discusses in silico methods for the development of peptide therapeutics for the treatment of coronary artery disease and strategies for identifying the molecular mechanisms that can be modulated by these designs and provides a comprehensive perspective for future studies.
Bias-aware ranking from pairwise comparisons
Authors: Ferrara Antonio , Bonchi Francesco , Fabbri Francesco , Karimi Fariba , Wagner Claudia 
Published: May 2024

AbstractHuman feedback is often used, either directly or indirectly, as input to algorithmic decision making. However, humans are biased: if the algorithm that takes as input the human feedback does not control for potential biases, this might result in biased algorithmic decision making, which can have a tangible impact on people’s lives. In this paper, we study how to detect and correct for evaluators’ bias in the task of ranking people (or items) from pairwise comparisons. Specifically, we assume we are given pairwise comparisons of the items to be ranked produced by a set of evaluators. While the pairwise assessments of the evaluators should reflect to a certain extent the latent (unobservable) true quality scores of the items, they might be affected by each evaluator’s own bias against, or in favor, of some groups of items. By detecting and amending evaluators’ biases, we aim to produce a ranking of the items that is, as much as possible, in accordance with the ranking one would produce by having access to the latent quality scores. Our proposal is a novel method that extends the classic Bradley-Terry model by having a bias parameter for each evaluator which distorts the true quality score of each item, depending on the group the item belongs to. Thanks to the simplicity of the model, we are able to write explicitly its log-likelihood w.r.t. the parameters (i.e., items’ latent scores and evaluators’ bias) and optimize by means of the alternating approach. Our experiments on synthetic and real-world data confirm that our method is able to reconstruct the bias of each single evaluator extremely well and thus to outperform several non-trivial competitors in the task of producing a ranking which is as much as possible close to the unbiased ranking.
Modeling arboreal vegetation-induced friction and its influence on river flooding using a two-dimensional model
Authors: Herrera Gómez Verónica , Ramírez Franco Loren , Ravazzani Giovanni , Passoni Giuseppe , Mancini Marco 
Published: May 2024

AbstractExtensive research on vegetation flow resistance at the laboratory scale has yielded numerous formulations for determining vegetation friction coefficients. However, implementing and validating these equations at the river scale is often complex due to the lack of data on vegetation features and flow characteristics during floods, resulting in a limited number of field application studies. In this research, we use the Telemac-2D hydrodynamic model in a new case study to evaluate the performance of five vegetation friction formulations applied to arboreal vegetation. Employing vegetation data acquired through field surveys and LiDAR, along with flow data collected during one of the highest peak floods recorded on the Piave River, we built a two-dimensional (2D) river model. This model considers existing arboreal vegetation and terrain conditions to compare observed water surface elevations (WSE) during the flood with those simulated using vegetation friction equations. Our findings reveal that all tested equations perform similarly in all simulations. While these equations overestimated WSE throughout most of the flood, they accurately predicted levels at the highest peak and its proximity. Additionally, we explore several vegetation scenarios, varying density and percentage of area covered by arboreal vegetation, to assess their effect on water levels and flood risk.
Illuminating Shades: A Qualitative Analysis of the Impact of a Four-Day Workweek on Subjective Well-being in Hungary
Authors: Venczel Timea 
Published: May 2024

AbstractThis study examines the implementation of the four-day week in a small Hungarian company, using qualitative research before and after the change. By conducting semi-structured interviews with all employees and the CEO, the paper explores, how social, organisational and individual factors influence the ability of employees to improve their subjective well-being through reduced working hours. The results indicate that the effects of mandated schedule changes are less about increased freedom from work and more about the ability to engage in personally meaningful activities. Interviews revealed four dimensions of well-being: temporal harmony, social involvement, advancement and autonomy. While the majority reported improved well-being, particularly in terms of temporal harmony and strengthened social ties, barriers such as misaligned schedules, rigid working hours and limited external support hindered improvements in well-being. The paper also describes the different perspectives of the manager and the employees on the changes implemented. Recognising potential factors and considering different aspects of working time reduction and employee well-being can help organisations use their working time policies to maximise the well-being of their employees in terms of not only the quantity but also the quality of their leisure time. This study adds to our understanding of the impact of reduced working time on individual and societal well-being.
Improving Emergency Department Care for Suicidality in Autism: Perspectives from Autistic Youth, Caregivers, and Clinicians
Authors: Cervantes Paige E. , Palinkas Lawrence A. , Conlon Greta R. , Richards-Rachlin Shira , Sullivan Katherine A. , Baroni Argelinda , Horwitz Sarah M. 
Published: May 2024

A﻿bstractPurpose: Emergency department (ED) visits for suicidal ideation and self-harm are more prevalent in autistic than non-autistic youth. However, providers are typically offered insufficient guidance for addressing suicide risk in autistic youth, likely impacting confidence and care. Methods: In this pilot study, we conducted semi-structured interviews with 17 key members of the autism community (i.e., autistic youth with a history of suicidality, caregivers of autistic youth with a history of suicidality, autism specialist clinicians, ED clinicians) to inform the development of recommendations for modifying ED care for autistic patients, with a focus on suicide risk screening and management. Results: Participants reported on challenges they encountered receiving or providing care and/or recommendations for improving care. Participant perspectives were aligned, and four main categories emerged: accounting for autism features, connection and youth engagement in care, caregiver and family involvement, and service system issues. Conclusion: As research continues in the development of autism-specific suicide risk assessment tools and management strategies, it is essential we better equip providers to address suicide risk in autistic patients, particularly in ED settings.
Truth, topicality, and transparency: one-component versus two-component semantics
Authors: Hawke Peter , Hornischer Levin , Berto Francesco 
Published: May 2024

AbstractWhen do two sentences say the same thing, that is, express the same content? We defend two-component (2C) semantics: the view that propositional contents comprise (at least) two irreducibly distinct constituents: (1) truth-conditions and (2) subject-matter. We contrast 2C with one-component (1C) semantics, focusing on the view that subject-matter is reducible to truth-conditions. We identify exponents of this view and argue in favor of 2C. An appendix proposes a general formal template for propositional 2C semantics.
An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms
Authors: Seyyedabbasi Amir , Tareq Tareq Wadhah Zeyad , Bacanin Nebojsa 
Published: May 2024

AbstractRecently, the Honey Badger Algorithm (HBA) was proposed as a metaheuristic algorithm. Honey badger hunting behaviour inspired the development of this algorithm. In the exploitation phase, HBA performs poorly and stagnates at the local best solution. On the other hand, the sand cat swarm optimization (SCSO) is a very competitive algorithm compared to other common metaheuristic algorithms since it has outstanding performance in the exploitation phase. Hence, the purpose of this paper is to hybridize HBA with SCSO so that the SCSO can overcome deficiencies of the HBA to improve the quality of the solution. The SCSO can effectively exploit optimal solutions. For the research conducted in this paper, a hybrid metaheuristic algorithm called HBASCSO was developed. The proposed approach was evaluated against challenging CEC benchmark instances taken from CEC2015, CEC2017, and CEC2019 benchmark suites The HBASCSO is also evaluated concerning the original HBA, SCSO, as well as several other recently proposed algorithms. To demonstrate that the proposed method performs significantly better than other competitive algorithms, 30 independent runs of each algorithm were evaluated to determine the best, worst, mean, and standard deviation of fitness functions. In addition, the Wilcoxon rank-sum test is used as a non-parametric comparison, and it has been found that the proposed algorithm outperforms other algorithms. Hence, the HBASCSO achieves an optimum solution that is better than the original algorithms.
Electroacupuncture Downregulating Neuronal Ferroptosis in MCAO/R Rats by Activating Nrf2/SLC7A11/GPX4 Axis
Authors: Zhu Wei , Dong Jianjian , Han Yongsheng 
Published: May 2024

AbstractIschemic stroke involves various pathological processes, among which ferroptosis is crucial. Previous studies by our group have indicated that electroacupuncture (EA) mitigates ferroptosis after ischemic stroke; however, the precise mechanism underlying this effect remains unclear. In the present study, we developed a rat model of middle cerebral artery occlusion/reperfusion. We chose the main acupoint of the treatment methods of the “Awakening and Opening of the Brain”. Rats’ neurological function and motor coordination were evaluated by neurological function score and the rotarod test, respectively, and the volume of cerebral infarction was analyzed by 2,3,5-triphenyltetrazolium chloride Staining. The cerebrovascular conditions were visualized by time-of-flight magentic resonance angiography. In addition, we detected changes in lipid peroxidation and endogenous antioxidant activity by measuring the malondialdehyde, glutathione, superoxide dismutase activities, glutathione/oxidized glutathione and reduced nicotinamide adenine dinucleotide phosphate/oxidized nicotinamide adenine dinucleotide phosphate ratios. Inductively coupled plasma-mass spectrometry, western blot, reverse transcription-polymerase chain reaction, fluoro-jade B staining, immunofluorescence analysis, and transmission electron microscopy were utilized to examine the influence of EA. The results indicate that EA treatment was effective in reversing neurological impairment, neuronal damage, and protecting mitochondrial morphology and decreasing the cerebral infarct volume in the middle cerebral artery occlusion/reperfusion rat model. EA reduced iron levels, inhibited lipid peroxidation, increased endogenous antioxidant activity, modulated the expression of several ferroptosis-related proteins, and promoted nuclear factor-E2-related factor 2 (Nrf2) nuclear translocation. However, the protective effect of EA was hindered by the Nrf2 inhibitor ML385. These findings suggest that EA can suppress ferroptosis and decrease damage caused by cerebral ischemia/reperfusion by activating Nrf2 and increasing the protein expression of solute carrier family 7 member 11 and glutathione peroxidase 4.
The Reflective Practice Framework for Phenomenographic Data Analysis
Authors: Rotar Olga 
Published: May 2024

AbstractIn phenomenographic studies, the use of reflection is not commonly reported. Drawing on the different schools of thought and reported frameworks, this paper introduces the Reflective Practice Framework for phenomenographic data analysis. The article describes theoretical stances and constituent elements of the framework, which consist of the two levels and five steps of reflection. The application of the framework allows for a systemic account of situational factors and personal influences during the process of phenomenographic data analysis. The framework provides a clear-cut guideline for novice phenomenographers on how to maintain reflection when working on the analysis of unstructured phenomenographic data and considering assumptions, biases, and alternative perspectives.
Optimization of the generalized covariance estimator in noncausal processes
Authors: Cubadda Gianluca , Giancaterini Francesco , Hecq Alain , Jasiak Joann 
Published: May 2024

AbstractThis paper investigates the performance of routinely used optimization algorithms in application to the Generalized Covariance estimator (GCov) for univariate and multivariate mixed causal and noncausal models. The GCov is a semi-parametric estimator with an objective function based on nonlinear autocovariances to identify causal and noncausal orders. When the number and type of nonlinear autocovariances included in the objective function are insufficient/inadequate, or the error density is too close to the Gaussian, identification issues can arise. These issues result in local minima in the objective function, which correspond to parameter values associated with incorrect causal and noncausal orders. Then, depending on the starting point and the optimization algorithm employed, the algorithm can converge to a local minimum. The paper proposes the Simulated Annealing (SA) optimization algorithm as an alternative to conventional numerical optimization methods. The results demonstrate that SA performs well in its application to mixed causal and noncausal models, successfully eliminating the effects of local minima. The proposed approach is illustrated by an empirical study of a bivariate series of commodity prices.
Logical abductivism on abductive logic
Authors: Mancini Filippo 
Published: May 2024

AbstractLogical abductivism is the epistemic view about logic according to which logical theories are justified by abduction (or Inference to the Best Explanation), that is on how well they explain the relevant evidence, so that the correct logical theory turns out to be the one that explains it best. Arguably, this view should be equally applied to both deductive and non-deductive logics, abduction included. But while there seems to be nothing wrong in principle in using abduction to determine the correct logical theories of deduction and induction, things might be more complicated regarding logical theories of abduction. We may wonder whether allowing for an abductive justification of a theory of abduction is an epistemically legitimate move, since here circularity casts its shadow and makes the situation darker. This is the issue to which this work is devoted. I will defend that, to be effective, an abductive justification for a theory of abduction calls for a justification of abduction in advance, which we do not yet have.