bluuebunny/crossref_metadata_2025_split huggingface dataset:
Give your ideas a hand: the role of iconic hand gestures in enhancing divergent creative thinking
Authors: Hyusein Gyulten , Göksun Tilbe 
Published: March 2024

AbstractHand gestures play an integral role in multimodal language and communication. Even though the self-oriented functions of gestures, such as activating a speaker’s lexicon and maintaining visuospatial imagery, have been emphasized, gestures’ functions in creative thinking are not well-established. In the current study, we investigated the role of iconic gestures in verbal divergent thinking—a creative thinking process related to generating many novel ideas. Based on previous findings, we hypothesized that iconic gesture use would facilitate divergent thinking in young adults, especially those with high mental imagery skills. Participants performed Guildford’s Alternative Uses Task in a gesture-spontaneous and in a gesture-encouraged condition. We measured fluency (number of ideas), originality (uniqueness of ideas), flexibility (number of idea categories), and elaboration (number of details) in divergent thinking. The results showed that producing iconic gestures in the gesture-encouraged condition positively predicted fluency, originality, and elaboration. In the gesture-spontaneous condition, producing iconic gestures also positively predicted elaboration but negatively predicted flexibility. Mental imagery skills did not interact with the effects of gestures on divergent thinking. These results suggest that iconic gestures are a promising candidate for enhancing almost all aspects of divergent thinking. Overall, the current study adds a new dimension to the self-oriented function of iconic gestures, that is, their contribution to creative thinking.
Decision regret of cancer patients after radiotherapy: results from a cross-sectional observational study at a large tertiary cancer center in Germany
Authors: Rühle Alexander , Wieland Leonie , Hinz Andreas , Mehnert-Theuerkauf Anja , Nicolay Nils H. , Seidel Clemens 
Published: March 2024

Abstract
Purpose
The decision-making process regarding cancer treatment is emotionally challenging for patients and families, harboring the risk of decision regret. We aimed to explore prevalence and determinants of decision regret following radiotherapy.

Methods
This cross-sectional observational study was conducted at a tertiary cancer center to assess decision regret following radiotherapy. The study employed the German version of the Ottawa Decision Regret Scale (DRS) which was validated in the study population. Decision regret was categorized as absent (0 points), mild (1–25 points), and strong (> 25 points). Various psychosocial outcome measures were collected using validated questionnaires to identify factors that may be associated with decision regret.

Results
Out of 320 eligible patients, 212 participated, with 207 completing the DRS. Median age at start of radiotherapy was 64 years [interquartile range (IQR), 56–72], genders were balanced (105 female, 102 male), and the most common cancer types were breast (n = 84; 41%), prostate (n = 57; 28%), and head-and-neck cancer (n = 19; 9%). Radiotherapy was applied with curative intention in 188 patients (91%). Median time between last radiotherapy fraction and questionnaire completion was 23 months (IQR, 1–38). DRS comprehensibility was rated as good or very good by 98% (196 of 201) of patients. Decision regret was reported by 43% (n = 90) as absent, 38% (n = 78) as mild, and 18% (n = 38) as strong. In the multiple regression analysis, poor Eastern Cooperative Oncology Group performance status, low social support, and dissatisfaction with care were independent risk factors for higher decision regret after radiotherapy.

Conclusions
The German version of the DRS could be used to assess decision regret in a diverse cohort of cancer patients undergoing radiotherapy. Decision regret was prevalent in a considerable proportion of patients. Further studies are necessary to validate these findings and obtain causal factors associated with decision regret after radiotherapy.
Design and emotional responses: is there coherence between what is said and what is felt? A study using biofeedback and virtual reality
Authors: Tavares Ademario Santos , Soares Marcelo M. , Marçal Marcio A. 
Published: March 2024

AbstractIdentifying users’ experience when using products is one of the major challenges for design. Analyzing users’ psychophysiological reactions to an experience using biofeedback can produce more reliable results than using subjective evaluations, such as structured interviews and questionnaires. Two case studies were conducted to identify emotions users actually felt and to check whether there is some correspondence with what they reported after using two computational systems. The first system investigated users’ emotions during training on a vehicle driving simulator, and the second analyzed the emotions experienced during a car racing game, both in a virtual reality environment. User’s opinions about their emotional state were obtained using self-report techniques (using the Geneva Emotions Wheel—GEW and Positive and Negative Affective Schedule—PANAS questionnaires) and applying EEG (brain activity with Frontal Alpha Asymmetry Index—FAAI) and infrared thermography (facial thermograms). The training experiment presented the greater concordance between the psychophysiological and the self-report responses. Results evidenced the importance of undertaking multimodal studies in design research to determine users’ emotional experiences in a virtual reality context.
Modeling and forecasting mortality with economic, environmental and lifestyle variables
Authors: Dimai Matteo 
Published: March 2024

AbstractTraditional stochastic mortality models tend to extrapolate, to focus on identifying trends in mortality without explaining them. Those that do link mortality with other variables usually limit themselves to GDP. This article presents a novel stochastic mortality model that incorporates a wide range of variables related to economic, environmental and lifestyle factors to predict mortality. The model uses principal components derived from these variables, extending the Niu and Melenberg (Demography 51(5):1755–1773, 2014) model to variables other than GDP, and is applied to 37 countries from the Human Mortality Database. Model fit is superior to the Lee–Carter model for 18 countries. The forecasting accuracy of the proposed model is better than that of the Niu–Melenberg model for half of the countries analyzed under various jump-off years. The model highlights the importance of economic prosperity and healthy lifestyle choices in improving lifespan, while the effect of environmental variables is mixed. By clarifying the specific contributions of different factors and thus making trade-offs explicit, the model is designed to facilitate scenario building and policy planning.
Tales of Turbulence: BERT-based Multimodal Analysis of FED Communication Dynamics Amidst COVID-19 Through FOMC Minutes
Authors: Taskin Bilal , Akal Fuat 
Published: March 2024

AbstractThis study analyzes Federal Open Market Committee (FOMC) minutes using state-of-the-art Natural Language Processing techniques. We sought to investigate the effect of the global COVID-19 crisis on the FOMC minutes’ pattern and the strength of the Federal Reserve to influence inflation expectations through its primary press releases. To this end, we first quantified minutes leveraging domain-specific pre-trained Bidirectional Encoder Representations from Transformers models (FinBERTs). Then, we applied dynamic time warping to measure temporal sequence proximity over time. In addition, we built multivariable autoregressive integrated moving average models to verify our findings by injecting exogenous variables as indicator functions into the time series. The results suggest that the Federal Reserve has abstained from adjusting its tone and the forward-lookingness settings of its statements for the global pandemic. Therefore, the longstanding association of the FED's tone and forward-lookingness with consumers’ inflation expectations index has weakened during the global health crisis.
Cybernetic governance: implications of technology convergence on governance convergence
Authors: Zwitter Andrej 
Published: March 2024

AbstractGovernance theory in political science and international relations has to adapt to the onset of an increasingly digital society. However, until now, technological advancements and the increasing convergence of technologies outpace regulatory efforts and frustrate any efforts to apply ethical and legal frameworks to these domains. This is due to the convergence of multiple, sometimes incompatible governance frameworks that accompany the integration of technologies on different platforms. This theoretical claim will be illustrated by examples such as the integration of technologies on the “human platform” as it is referred to in the case of enhanced soldiers. Hence, successful governance might require new approaches borrowed from a distant relative, namely cybernetics. Insights gained from cybernetics for governance theories might be able to give guidance for a more efficient and adaptive governance approach that is able to deal with increasing complexity caused by technology and governance convergence. While cybernetics itself might be considered a governance approach, it has had surprisingly little reception in the wider field of governance within the area of social and political sciences. This article will develop cybernetic governance as a set of expandable governance principles that are applicable to an increasingly complex digital and smart society. It thereby tries to further galvanise what could be termed cybernetic governance theory as a subject of worthwhile insights from the combination of otherwise largely the disjoined fields of cybernetics and governance.
Depression and Personality Traits Across Adolescence—Within-Person Analyses of a Birth Cohort
Authors: Morken Ida Sund , Wichstrøm Lars , Steinsbekk Silje , Viddal Kristine Rensvik 
Published: March 2024

AbstractDepressive symptoms and personality traits covary in adolescents, but our understanding of the nature of this relation is limited. Whereas a predisposition explanation posits that specific personality traits increase the vulnerability for developing depression, a scar explanation proposes that depression may alter premorbid personality. Attempts to test these explanatory models have relied on analyses that conflate within-person changes and between-person differences, which limits the implications that can be drawn. Moreover, research on the early adolescent years is lacking. The present study therefore examined within-person associations between depressive symptoms and Big Five personality traits across ages 10 to 16. Children (n = 817; 49.9% boys) and parents from two birth cohorts in Trondheim, Norway, were assessed biennially with clinical interviews capturing symptoms of major depressive disorder and dysthymia, and self-reported Big Five personality traits. Analyses were conducted using a random intercept cross-lagged panel model, which accounts for all unmeasured time-invariant confounding effects. Increased Neuroticism predicted an increased number of depressive symptoms—and increased depressive symptoms predicted increased Neuroticism—across ages 10 to 14. Moreover, increased depressive symptoms forecast reduced Extraversion across ages 10 to 16, and reduced Conscientiousness from ages 12 to 14. Increases in Neuroticism may contribute to the development of depressive symptoms—in line with the predisposition model. As regards the scar model, depression may have an even wider impact on personality traits: increasing Neuroticism and reducing Extraversion and Conscientiousness. These effects may already be present in the earliest adolescent years.
Teaching Scientific Integrity in Academia: What and How Students Want to Learn?
Authors: Sira N. , Decker M. , Lemke C. , Winkens A. , Leicht-Scholten C. , Groß D. 
Published: March 2024

AbstractTraining in scientific integrity continues to be an important topic in universities and other research institutions. Its main goal is to prevent scientific misconduct and promote good scientific practice. However, there is still no consensus on how scientific integrity should be taught. Moreover, the perspective of those who receive such training is often underrepresented. Yet it is precisely their interests and needs that must be considered when developing educational programs. Against this backdrop, we conducted a mixed-methods study with the goal of capturing students’ perspectives on the teaching of scientific integrity. Using our online Scientific Integrity course, we explore what specific aspects of digital teaching on scientific integrity are valued, and explore other topics of interest from students’ perspectives on scientific integrity. The article presents (1) students’ self-assessment before (Q1) and after (Q2) taking the online Scientific Integrity course at the RWTH Aachen University in Germany (2) students’ feedback on the course format, video, exam, organization, and support (Q2) (3) a list of other topics of interest in the area of scientific integrity (Q2). The research outcomes demonstrate an improvement in the study participants’ self-assessment after following the online course and there is a general satisfaction among the students in regard to the course digital format and its components although a desire to have more exchange and discussion was expressed. Further topics of interest in the area of scientific integrity that study participants would like to learn about have a practical appeal and among others include research pressure, examples of applications, preventive measures, theory of science, citation rules, funding of university research. Although the results relate to our course, they provide insight into students’ perspectives on online teaching of scientific integrity. Thus, they may be helpful to higher education institutions developing online courses on scientific integrity that are tailored to university students.
Collaborative research in healthcare: uncovering the impact of industry collaboration on the service innovativeness of university hospitals
Authors: Huynh Thomas 
Published: March 2024

Abstract
In the face of the challenges of rising demand and increasing economic pressure, medical service innovations and university hospitals are becoming increasingly important as cornerstones for the continuous development of medical care. Simultaneously, increasing technological complexity, scarce funding, and resource-intensive technology development are forcing university hospitals to open up their internal innovation processes. Numerous studies have highlighted the beneficial effects of cross-sectoral collaboration on the innovation performance of industrial entities, while neglecting the perspective of academic institutions. The impact of industry collaborations on the service innovativeness of university hospitals in particular has not been addressed in previous research. Although the potential for nonlinear effects of university-industry collaborations has been discussed in research, adequate evidence, particularly in the healthcare context, has not been provided. Therefore, this study addresses the questions: (1) What is the impact of university-hospital-industry collaboration (UHIC) on the service innovativeness of university hospitals? (2) Can a nonlinear relationship between UHIC and university hospitals' service innovativeness be empirically verified? The hypotheses are tested based on an unbalanced panel data set, which combines three distinct data sources and comprises annual observations from 2011 until 2019 of all German university hospitals. The findings indicate that the UHIC intensity has a positive effect on university hospitals’ service innovativeness with a one-year time lag. Furthermore, a negative quadratic UHIC effect was found. In doing so, this study complements existing research and opens the black box by uncovering the downside of cross-sectoral collaboration for a more complete understanding of the underlying dynamics of this growing area of research, with a particular focus on university hospitals.
Isotopes: How did they all begin? Primordial nucleosynthesis: experimental study of the roles of neutrons
Authors: Shima Tatsushi 
Published: March 2024

AbstractLight nuclei with mass number of below 8 are considered to be produced by the so-called the Big-bang nucleosynthesis (BBN) occurring in the early universe. Since BBN depends on various assumptions related to the origin of the universe and the laws of fundamental interactions and elementary particles, those assumptions can be verified by comparing the abundances of light isotopes calculated with BBN and the astronomically observed ones. Since the neutrons are the starting materials of BBN together with protons, and also they are electrically neutral, they play a unique and critical roles in BBN. In this paper status of the BBN analysis and experimental studies of the properties of neutrons relevant to BBN will be reviewed.
Learning fused lasso parameters in portfolio selection via neural networks
Authors: Corsaro Stefania , De Simone Valentina , Marino Zelda , Scognamiglio Salvatore 
Published: March 2024

AbstractIn recent years, fused lasso models are becoming popular in several fields, such as computer vision, classification and finance. In portfolio selection, they can be used to penalize active positions and portfolio turnover. Despite efficient algorithms and software for solving non-smooth optimization problems have been developed, the amount of regularization to apply is a critical issue, especially if we have to achieve a financial aim. We propose a data-driven approach for learning the regularization parameters in a fused lasso formulation of the multi-period portfolio selection problem, able to realize a given financial target. We design a neural network architecture based on recurrent networks for learning the functional dependence between the regularization parameters and the input data. In particular, the Long Short-Term Memory networks are considered for their ability to process sequential data, such as the time series of the asset returns. Numerical experiments performed on market data show the effectiveness of our approach.
Agro-ecosystem of honeybees as source for native probiotic yeasts
Authors: Agarbati Alice , Moretti Laura , Canonico Laura , Ciani Maurizio , Comitini Francesca 
Published: March 2024

AbstractProbiotic microorganisms are used to improve the health and wellness of people and the research on this topic is of current relevance and interest. Fifty-five yeasts, coming from honeybee’s ecosystem and belonging to Candida, Debaryomyces, Hanseniaspora, Lachancea, Metschnikowia, Meyerozyma, Starmerella and Zygosacchromyces genera and related different species, were evaluated for the probiotic traits. The resistance to gastrointestinal conditions, auto-aggregation, cell surface hydrophobicity or biofilm formation abilities as well as antimicrobial activity against common human pathogenic bacteria were evaluated. The safety analysis of strains was also carried out to exclude any possible negative effect on the consumer’s health. The influence of proteinase treatment of living yeasts and their adhesion to Caco-2 cells were also evaluated. The greatest selection occurred in the first step of survival at the acidic pH and in the presence of bile salts, where more than 50% of the strains were unable to survive. Equally discriminating was the protease test which allowed the survival of only 27 strains belonging to the species Hanseniaspora guilliermondii, Hanseniaspora uvarum, Metschnikowia pulcherrima, Metschnikowia ziziphicola, Meyerozyma caribbica, Meyerozyma guilliermondii, Pichia kluyveri, Pichia kudriavzevii and Pichia terricola. An integrated analysis of the results obtained allowed the detection of seven yeast strains with probiotic aptitudes, all belonging to the Meyerozyma genus, of which three belonging to M. guillermondii and four belonging to M. caribbica species.
Learning more about derivative: leveraging online resources for varied realizations
Authors: Radmehr Farzad , Turgut Melih 
Published: March 2024

Abstract Recent literature underlines the increasing use of online platforms in learning undergraduate mathematics, where students refer to these as supplementary resources to develop their mathematical understanding. Through an intrinsic case study, we focus on a highly viewed YouTube learning resource for learning derivative. The selected case is from 3Blue1Brown, a YouTube channel whose founder has received an award from the American Mathematical Society. The video has garnered more than 3.3 million views in the past couple of years. Reflecting on the relevant literature, a realization tree for derivative is developed and then used as an analytical tool to analyze this resource to explore what realizations have been used in it to facilitate students’ understanding of derivative. The findings indicate that the analyzed YouTube resource discusses various realizations of derivative, including all its five main realizations, and effectively utilizes new digital technology for discussing these realizations. Such an exceptional resource for learning mathematics leads us to suggest that mathematics lecturers raise their awareness about such online free resources and incorporate them into their teaching packages when appropriate to facilitate student learning.
The Effect of the COVID-19 Pandemic on Heritage Festival Soundscapes—A Critical Review of Literature
Authors: Parker Murray , Spennemann Dirk H. R. , Bond Jennifer 
Published: March 2024

Abstract
Purpose of Review
The response to COVID-19 in the global community resulted in a disruption of usual sensory experiences associated with quotidian life and special events. While research has investigated urban and rural soundscape alteration/change during COVID and post-COVID, no summative work has focused on soundscapes of traditional (heritage) festivals. Research is warranted as cultural heritage festivals are significant and fundamental for human societal functioning, and associated soundscapes are a key aural reflection of these. This paper aims to critically review literature published from 2020 on the effect of COVID-19 on heritage festival soundscapes, with a particular focus on the loss of aural experience examined from a community perspective.

Recent Findings
We identified fourteen articles which covered heritage festival sounds or soundscapes, with the resultant aural experience being transformed, postponed or discontinued due to pandemic restrictions. There was a distinct lack of formal research investigating how communities perceived these changed soundscapes, with perceptions generally based on researcher’s own perspectives, either through informal conversations with community members or through content analysis. Furthermore, we identified no research which specifically targeted community perceptions of transformed heritage festival soundscapes.

Summary
In recognising and understanding both the importance of sensory components in creating a festival atmosphere and the significance of heritage festivals to the community as a cultural signature, the COVID-19 pandemic gives us a chance to pause and consider festival sensory components as an experienced intangible form of heritage and to question how alteration of these sensory heritage experiences concerns the communities affected.

Graphical Abstract
Visual collage of the effect of the COVID-19 pandemic on heritage festival soundscapes
The response to COVID-19 resulted in a disruption of usual sensory experiences. In recognising the importance of festival sensory components in creating an atmosphere and the significance of heritage festivals to the community, the pandemic gives us an opportunity to consider festival sensory components as an experienced intangible form of heritage.