bluuebunny/crossref_metadata_2025_split huggingface dataset:
Large-Scale Web Scraping for Problem Gambling Research: A Case Study of COVID-19 Lockdown Effects in Germany
Authors: Smith Elke , Michalski Simon , Knauth Kilian H. K. , Kaspar Kai , Reiter Nils , Peters Jan 
Published: January 2023

AbstractThe COVID-19 pandemic and the measures to prevent its spread have had a negative impact on substance use behaviour. It is likely that social distancing and lockdown measures have also altered gambling behaviour, for instance shifting from land-based to online gambling. We used large-scale web scraping to analyse posting behaviour on a major German online gambling forum, gathering a database of more than 200k posts. We examined the usage of different subforums, i.e. terrestrial, online gambling and problem gambling sections, and changes in posting behaviour related to the casino closures that were part of the nationwide restrictions in Germany in 2020. There was a marked increase in newly registered users during the first lockdown compared to the preceding weeks, an increase in the number of posts in the online gambling subforum and concurrent decrease in the terrestrial gambling subforum. Further, the number of short-latency replies was higher during the first lockdown compared to the preceding weeks. Many users who posted in both the online and terrestrial forum contributed at least once to the problem gambling subforum, implying that the topic of problem gambling is widely discussed. Our findings may indicate a shift from terrestrial to online gambling during lockdown, and mirror the general increase in screen time and usage of online platforms after the onset of the COVID-19 pandemic. The analyses help to identify lockdown-related effects on gambling behaviour. These potentially detrimental effects pose a special threat for individuals at risk and may require monitoring and special public health measures.
Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study
Authors: Uncovska Marie , Freitag Bettina , Meister Sven , Fehring Leonard 
Published: January 2023

AbstractThe study aims to (1) investigate current levels of patient acceptance of mHealth in Germany; (2) determine the influencing factors of patients' intention to use, and (3) test the influence of prescription and reimbursement status on patient acceptance. Online survey with 1349 participants, of which 1051 were complete and included for statistical analysis, from a broad cross-section of the German population, addressing both users of mobile health (mHealth) applications and people without prior experience. SEM modeling based on a combination of two theoretical frameworks: the extended Unified Theory of Acceptance and Use of Technology and Health Protective Behavior Theories were used to assess acceptance. Users of mHealth in Germany are mostly patients between the ages of 30 – 50 with mental health or endocrine conditions. General willingness to use mHealth apps / DiGAs (mHealth apps fully reimbursed by social health insurance) is high at 76%, especially if they are governmentally certified, however only 27% of respondents were willing to pay out of pocket. With the exception of a spike in performance expectancy and data security, DiGAs lack a clear differentiation from mHealth apps. Perceived self-efficacy and performance expectancy are significant predictors of willingness to use digital health interventions; with age, attitude, and e-literacy being key demographic predictors. A key takeaway for regulators, providers of mHealth apps/ DiGAs, and other stakeholders involved in mHealth adoption is the importance of addressing negative beliefs early on, targeted communication around effortless usage of mHealth services across age groups and demographics, and focus on highlighting expected benefits of mHealth app/ DiGA usage.
Phase equilibria in the YbCl2–MCl (M = Li, Na, K) binary systems
Authors: Chojnacka Ida , Rycerz L. , Kapala J. , Gaune-Escard M. , Salamon M. 
Published: January 2023

AbstractDifferential scanning calorimetry technique was used to investigate phase equilibria in the YbCl2–MCl (M = Li, Na) binary systems. The YbCl2–LiCl system exhibits an eutectic located at YbCl2 mole fraction x = 0.415 (733 K) and a LiYb2Cl5 stoichiometric compound that is formed at 711 K and melts incongruently at 742 K. The YbCl2–NaCl system exhibits an eutectic located at YbCl2 mole fraction x = 0.559 (764 K). In both systems the formation of solid solutions in the MCl-rich side (M = Li, Na) has been found. The molar enthalpies of mixing (ΔHMIX) in the liquid YbCl2–MCl (M = Na, K) mixtures have been measured at 1085 K with a Calvet-type high temperature microcalorimeter in the entire range of composition. A negative value of mixing enthalpy was observed for all melts. The minimum value was of approximately: − 2.5, and − 7.5 kJ mol−1, for systems with NaCl and KCl, respectively. All the experimental results along with the available literature data were used to optimize the thermodynamic properties of the investigated systems using the CALPHAD method.
Making Sense of Science, University, and Industry: Sensemaking Narratives of Finnish and Israeli Scientists
Authors: Mäkinen Elina I. , Sapir Adi 
Published: January 2023

AbstractAcademic entrepreneurship and the commercialization of science have transformed higher education in recent decades. Although there is ample research on the topic, less is known about how individual scientists experience and perceive the transformation. Drawing on a narratological approach to sensemaking, this study examines how entrepreneurial scientists in Finland and Israel make sense of and narrate the perceived changes in the interface between science, university, and industry. An analysis of 53 semi-structured interviews reveals three sensemaking narratives demonstrating how scientists’ interactions with the industry have engendered perceived shifts in ‘regimes of value’ in universities. These narratives focus on: (1) bi-directional learning between academy and industry; (2) the use of new valuation devices and practices; and (3) changing relationships between scientists and universities. Our findings advance research on academic entrepreneurship by highlighting the coexisting regimes of value and the consequences they have for science, value, and power.
Towards a theory of morphosyntactic focus marking
Authors: Assmann Muriel , Büring Daniel , Jordanoska Izabela , Prüller Max 
Published: January 2023

AbstractBased on six detailed case studies of languages in which focus is marked morphosyntactically, we propose a novel formal theory of focus marking, which can capture these as well as the familiar English-type prosodic focus marking. Special attention is paid to the patterns of focus syncretism, that is, when different size and/or location of focus are indistinguishably realized by the same form.The key ingredients to our approach are that complex constituents (not just words) may be directly focally marked, and that the choice of focal marking is governed by blocking.
The semantics of applicativization in Kinyarwanda
Authors: Jerro Kyle 
Published: January 2023

AbstractThis article explores the role of semantics in argument realization by providing a lexical semantic account of the contribution of applicative morphology in the Bantu language Kinyarwanda (Rwanda). I propose that applicativization is best analyzed through a constraint on the paradigmatic relationship between applied and non-applied variants of a verb. Specifically, I argue that the applied variant requires an increase in lexical entailments associated with an internal argument of the predicate, and verb classes have varying lexicalized strategies for how they satisfy this constraint. Building on earlier work on Bantu applicatives, I argue that the syntactic and semantic contributions of an applicative operate independently but with all outputs being subject to the constraint on applicativization that I propose. Taking these facts together, this predicts a typology of three possible outputs for applicativization: one in which the applicative adds a new argument and associated thematic role (the function that is most frequently discussed), one in which the applicative has the effect of giving license to an unrealized participant entailed by the meaning of the verb, and one in which the applicative does not increase valence but rather modifies the thematic role of an existing internal argument. I describe three verb classes in Kinyarwanda which exemplify these three predicted types of output of applicativization. This approach thus subsumes previous observations about the varied functions of applicative morphology under a single analysis as well as builds on earlier work on paradigmatic argument alternations (such as the oblique alternations) by extending such approaches to valency-changing morphology.
A Rank Graduation Accuracy measure to mitigate Artificial Intelligence risks
Authors: Raffinetti Emanuela 
Published: January 2023

AbstractA key point to assess the applications of machine learning models in Artificial Intelligence (AI) is the evaluation of their predictive accuracy. This because the “automatic” choice of an action crucially depends on the made prediction. While the best model in terms of fit to the observed data can be chosen using a “universal” - and therefore automatable - criterion, based on the models’ likelihood, such as AIC and BIC, this is not the case for the best model in terms of predictive accuracy. To fill the gap, we propose a Rank Graduation Accuracy (RGA) measure which evaluates the concordance between the ranks of the predicted values and the ranks of the actual values of a series of observations to be predicted. We apply the RGA to a use-case that concerns the measurement of the financial risks that arise from crypto assets. The RGA appears as a “universal” alternative predictive model selection criterion that, differently from standard measures, such as the Root Mean Squared Error, is robust to the presence of outlying observations.
Recognizing the diversity in how students define belonging: evidence of differing conceptualizations, including as a function of students’ gender and socioeconomic background
Authors: Fernández Daniela P. , Ryan Michelle K. , Begeny Christopher T. 
Published: January 2023

AbstractSense of belonging is a fundamental human motivation and, in higher education settings, has been associated with students’ motivation and academic outcomes. However, less is known about the nuances of how students define belonging within a university context, and how their gendered and socio-economic identity-based experiences inform these definitions. Using a qualitative approach, we interviewed 36 UK university students to better understand (1) students’ definitions of belonging to university, and (2) how these conceptualizations are shaped by their experiences in terms of their gender, their socioeconomic status, and the intersection of these two identities. Interviews showed that students defined belonging in terms of social belonging. These definitions were shaped by their (a) cultural capital about university, (b) socioeconomic or gender identity experiences and (c) perceived similarity with other students. Indeed, despite the fact that students’ definitions of belonging were associated with how they have experienced belonging to university, identity-based experiences were mostly mentioned when they perceived they did not belong, which was framed as a “sense of anti-belonging”. Otherwise, students defined belonging as (a) being authentic, considering—for example—gender identity-based experiences of acceptance in university, or (b) sharing similar experiences with others, considering the importance of perceiving similarity with other students to feel they belong and, in some cases, being necessary to learn about university culture to perceive similarity with others. Theoretical and practical implications are discussed in terms of how belonging conceptualisations are bound up in identity and context, opening questions about the consequences of inclusion and diversity policies in higher education.
The influence of individual, peer, and family factors on the educational aspirations of adolescents in rural China
Authors: Chen Xiaodi , Allen Jennifer L. , Hesketh Therese 
Published: January 2023

AbstractEducational aspirations are an important predictor of academic outcomes. While there has been considerable research on educational aspirations in the West, there has been little research in East Asia, and the investigation of factors influencing adolescent aspirations has been neglected, particularly in rural areas. Drawing on ecological systems theory and social cognitive career theory, this study investigated the associations between educational aspirations and factors at the individual, peer, and family levels among rural Chinese adolescents. A total of 606 students (Mage = 14.85 years; 50% boys) from a rural town in Central China completed questionnaires assessing their educational aspirations, individual factors (academic performance, academic self-perception, academic self-regulation, attitudes toward teachers, and goal valuation), and contextual factors (family socioeconomic status, parent and peer relationship quality, and parental and close friends’ aspirations). Individual factors and aspirations of others had significant direct effects on adolescents’ educational aspirations, while parent and peer attachments were significantly related to educational aspirations via individual factors. Family socioeconomic status was not significantly related to adolescents’ educational aspirations. The findings highlight the importance of individual factors as mechanisms explaining the link between contextual factors and rural Chinese adolescents’ educational aspirations. Our results suggest that interventions can be designed to increase and maintain the aspirations of rural Chinese youth by targeting multiple domains of influence.
Modeling Daily Reference Evapotranspiration from Climate Variables: Assessment of Bagging and Boosting Regression Approaches
Authors: T R Jayashree , Reddy NV Subba , Acharya U Dinesh 
Published: January 2023

AbstractThe increasing frequency of droughts and floods due to climate change has severely affected water resources across the globe in recent years. An optimal design for the scheduling and management of irrigation is thus urgently needed to adapt agricultural activities to the changing climate. The accurate estimation of reference crop evapotranspiration (ET0), a vital hydrological component of the water balance and crop water need, is a tiresome task if all the relevant climatic variables are unavailable. This study investigates the potential of four ensemble techniques for estimating precise values of the daily ET0 at representative stations in 10 agro-climatic zones in the state of Karnataka, India, from 1979 to 2014. The performance of these models was evaluated by using several combinations of climatic variables as inputs by using tenfold cross-validation. The outcomes indicated that predictions of ET0 by all four ensemble models based on all climatic variables were the most accurate in comparison with other input combinations. The random forest regressor was found to deliver the best performance among the four models on all measures considered (Nash–Sutcliffe efficiency, 1.0, root-mean-squared error, 0.016 mm/day, and mean absolute error, 0.011 mm/day). However, it incurred the highest computational cost, whereas the computational cost of the bagging model for linear regression was the lowest. The extreme gradient-boosting model delivered the most stable performance with a modified training dataset. The work here shows that these models can be recommended for daily ET0 estimation based on the users’ interests.
Nearly Five Times Higher than We Think: How Much People Underestimate the Amount of Alcohol in Popular Movies and What Predicts Underestimation?
Authors: Patsouras Maree , Riordan Benjamin C. , Morgenstern Matthis , Hanewinkel Reiner , Kuntsche Emmanuel 
Published: January 2023

Abstract
Reducing alcohol use is challenging due to the volume of alcohol shown in media and the relationship between exposure and use. It is unclear to what degree people are aware of and able to estimate alcohol exposure in the media, such as in movies. In this study, 609 Australian adults estimated the amount of alcohol exposure in up to 10 of 102 popular movies they remembered best. They reported when they last saw each movie, their alcohol use, age, and gender. Participants underestimated the amount of alcohol in movies by an average of 35.39 times. Movies classified as featuring adult content (PG-13 or R) and movies with the greatest amount of alcohol were particularly underestimated. Individual’s age, gender, alcohol use, or when the movie was last viewed had no effect on underestimation. In conclusion, due to the severe underestimation, alcohol exposure should be more seriously reviewed by governmental and medial organizations.
On Parameter Identifiability in Network-Based Epidemic Models
Authors: Kiss István Z. , Simon Péter L. 
Published: January 2023

AbstractModelling epidemics on networks represents an important departure from classical compartmental models which assume random mixing. However, the resulting models are high-dimensional and their analysis is often out of reach. It turns out that mean-field models, low-dimensional systems of differential equations, whose variables are carefully chosen expected quantities from the exact model provide a good approximation and incorporate explicitly some network properties. Despite the emergence of such mean-field models, there has been limited work on investigating whether these can be used for inference purposes. In this paper, we consider network-based mean-field models and explore the problem of parameter identifiability when observations about an epidemic are available. Making use of the analytical tractability of most network-based mean-field models, e.g. explicit analytical expressions for leading eigenvalue and final epidemic size, we set up the parameter identifiability problem as finding the solution or solutions of a system of coupled equations. More precisely, subject to observing/measuring growth rate and final epidemic size, we seek to identify parameter values leading to these measurements. We are particularly concerned with disentangling transmission rate from the network density. To do this, we give a condition for practical identifiability and we find that except for the simplest model, parameters cannot be uniquely determined, that is, they are practically unidentifiable. This means that there exist multiple solutions (a manifold of infinite measure) which give rise to model output that is close to the data. Identifying, formalising and analytically describing this problem should lead to a better appreciation of the complexity involved in fitting models with many parameters to data.
Gender-dependent impact of COVID-19 lockdown on metabolic and psychological aspects
Authors: Bonfrate Leonilde , Di Ciaula Agostino , Khalil Mohamad , Farella Ilaria , Chirico Roberta , Vilahur Gemma , Portincasa Piero 
Published: January 2023

AbstractThe first COVID-19 lockdown resulted in enforced quarantine of heavily affected areas with social isolation and related measures by several governments to slow the spread of the disease. The general population experienced several mental and lifestyle changes. Herein, we aimed to evaluate the metabolic and psychological effects induced by lifestyle changes during COVID-19 self-isolation among an Apulian overweight/obese cohort with metabolic disturbances. The study assessed anthropometric data (weight, abdominal circumferences), dietary habits (adherence to the Mediterranean diet, junk food score), lifestyle habits (i.e., smoking, and physical activity), levels of stress and anxiety, and depression. Subjects underwent bioumoral exams before and after self-isolation to monitor glycemic and lipid profiles. A total of 245 subjects (M:F = 118:127) have been included in the study. After lockdown, the number of obese subjects significantly increased in both sexes, and was higher in females than in males (P < 0.0001). Glycemic and lipid profiles worsened, with higher levels of insulinemia, lower levels of HDL cholesterol, and higher levels of triglycerides in females than in males. Adherence to the Mediterranean diet and consumption of junk foods were altered in both groups, especially in females. Psychological aspects were significantly higher in females than in males. Finally, work activities and familial status strongly affected the metabolic and psychological profile. In conclusion, COVID-19 self-isolation induced changes in lifestyle and dietary habits with psychological distress and detrimental effects on metabolic patterns, which were more pronounced in female gender.
Implementation of recommendations on the check of risk factors for cardiovascular diseases in patients undergoing coronary re-interventions
Authors: Walukiewicz Marcin , Rogowicz Daniel , Wołowiec Łukasz , Chudzińska Małgorzata , Sinkiewicz Anna , Grześk Grzegorz 
Published: January 2023

Abstract

Method
The study involved 905 patients after coronary interventions, qualified for invasive diagnosis due to symptomatic coronary disease.

Aim
The aim of this study was to check the implementation of recommendations on the control of risk factors for cardiovascular diseases in patients undergoing re-interventions.

Results
Compared to elderly persons, younger people more often increased their physical activity (62 vs. 65 years, p = 0.009), stopped smoking (61 vs. 65 years, p < 0.001) and reduced alcohol consumption (62 vs. 65 years, p = 0.001). People with secondary and higher education increased their physical activity more often than those with primary education (51%, 31% vs. 23%, p = 0.006). Men more often than women decided to limit their alcohol consumption (48% vs. 37%, p = 0.007). Patients with a history of acute coronary syndrome were more likely to quit smoking and reduce their alcohol consumption than those without such a history (47% vs. 37%, p = 0.003 and 42% vs. 34%, p = 0.020, respectively). Only 2% of the subjects achieved the recommended LDL cholesterol values. Forty-eight percent were qualified for reinvasive procedures on the coronary arteries. Less than half of the patients undertook health-promoting behaviors that required modification of existing habits.

Conclusion
Age, gender, and education level influence pro-health behaviors. The majority of patients do not achieve the levels of LDL cholesterol and triglycerides consistent with the ESC guidelines in the secondary prevention of coronary disease. Inadequate check of risk factors may result in faster disease progression and coronary re-interventions.
Research advances in the understanding of how exosomes regulate ferroptosis in cancer
Authors: Liu Jiaxuan 
Published: January 2023

AbstractExosomes are extracellular vesicles that can release different bioactive substances to affect tumor cells and cell death pathways. As an important mediator of cell communication, exosomes participate in the occurrence and development of a variety of diseases. Ferroptosis, one of the newly defined forms of regulated cell death, is characterized by massive accumulation of iron ions and lipid peroxidation. An increasing number of studies have shown that ferroptosis plays an important role in malignant tumors. Moreover, exosomes have been recognized for their potential in cancer therapy based on ferroptosis. To further describe how could exosomes regulate ferroptosis in cancer and provide better understanding of the mechanisms involved, this paper reviews the definition as well as the underlying molecular mechanisms of ferroptosis, including iron metabolism, amino acid metabolism, lipid metabolism and so on. Then, we illustrated how could exosomes regulate the ferroptosis pathway and suggested their promising potential as a novel tumor therapy for cancer patients. Finally, we described the perspectives of ferroptosis by exosomes in tumor treatment. Therefore, exosomes have the potential to regulate ferroptosis in clinical cancer treatment.