bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel deep learning-based perspective for tooth numbering and caries detection
Authors: Ayhan Baturalp , Ayan Enes , Bayraktar Yusuf 
Published: February 2024

Abstract
Objectives
The aim of this study was automatically detecting and numbering teeth in digital bitewing radiographs obtained from patients, and evaluating the diagnostic efficiency of decayed teeth in real time, using deep learning algorithms.

Methods
The dataset consisted of 1170 anonymized digital bitewing radiographs randomly obtained from faculty archives. After image evaluation and labeling process, the dataset was split into training and test datasets. This study proposed an end-to-end pipeline architecture consisting of three stages for matching tooth numbers and caries lesions to enhance treatment outcomes and prevent potential issues. Initially, a pre-trained convolutional neural network (CNN) utilized to determine the side of the bitewing images. Then, an improved CNN model YOLOv7 was proposed for tooth numbering and caries detection. In the final stage, our developed algorithm assessed which teeth have caries by comparing the numbered teeth with the detected caries, using the intersection over union value for the matching process.

Results
According to test results, the recall, precision, and F1-score values were 0.994, 0.987 and 0.99 for teeth detection, 0.974, 0.985 and 0.979 for teeth numbering, and 0.833, 0.866 and 0.822 for caries detection, respectively. For teeth numbering and caries detection matching performance; the accuracy, recall, specificity, precision and F1—Score values were 0.934, 0.834, 0.961, 0.851 and 0.842, respectively.

Conclusions
The proposed model exhibited good achievement, highlighting the potential use of CNNs for tooth detection, numbering, and caries detection, concurrently.

Clinical significance
CNNs can provide valuable support to clinicians by automating the detection and numbering of teeth, as well as the detection of caries on bitewing radiographs. By enhancing overall performance, these algorithms have the capacity to efficiently save time and play a significant role in the assessment process.
Playing well with others: lessons from theatre for the health professions about collaboration, creativity and community
Authors: Gray Julia , Cartmill Carrie , Whitehead Cynthia 
Published: February 2024

AbstractDespite collaboration among different professions being recognized as fundamentally important to contemporary and future healthcare practice, the concept is woefully undertheorized. This has implications for how health professions educators might best introduce students to interprofessional collaboration and support their transition into interprofessional, collaborative workplaces. To address this, we engage in a conceptual analysis of published collaborative, interprofessional practices and conceptual understandings in theatre, as a highly collaborative art form and industry, to advance thinking in the health professions, specifically to inform interprofessional education. Our analysis advances a conceptualization of collaboration that takes place within a work culture of creativity and community, that includes four modes of collaboration, or the ways theatre practitioners collaborate, by: (1) paying attention to and traversing roles and hierarchies; (2) engaging in reciprocal listening and challenging of others; (3) developing trust and communication, and; (4) navigating uncertainty, risk and failure. We conclude by inviting those working in the health professions to consider what might be gleaned from our conceptualization, where the embodied and human-centred aspects of working together are attended to alongside structural and organizational aspects.
Marginal effects for non-linear prediction functions
Authors: Scholbeck Christian A. , Casalicchio Giuseppe , Molnar Christoph , Bischl Bernd , Heumann Christian 
Published: February 2024

AbstractBeta coefficients for linear regression models represent the ideal form of an interpretable feature effect. However, for non-linear models such as generalized linear models, the estimated coefficients cannot be interpreted as a direct feature effect on the predicted outcome. Hence, marginal effects are typically used as approximations for feature effects, either as derivatives of the prediction function or forward differences in prediction due to changes in feature values. While marginal effects are commonly used in many scientific fields, they have not yet been adopted as a general model-agnostic interpretation method for machine learning models. This may stem from the ambiguity surrounding marginal effects and their inability to deal with the non-linearities found in black box models. We introduce a unified definition of forward marginal effects (FMEs) that includes univariate and multivariate, as well as continuous, categorical, and mixed-type features. To account for the non-linearity of prediction functions, we introduce a non-linearity measure for FMEs. Furthermore, we argue against summarizing feature effects of a non-linear prediction function in a single metric such as the average marginal effect. Instead, we propose to average homogeneous FMEs within population subgroups, which serve as conditional feature effect estimates.
Do catadromous thinlip grey mullet benefit from shifting to freshwater? A perspective from fatty acid signature analysis
Authors: Pereira Esmeralda , Jorge André , Quintella Bernardo , da Silva Marco Gomes , Almeida Pedro R. , Lança Maria João 
Published: February 2024

AbstractTo investigate the potential benefits of the catadromous thinlip grey mullet (Chelon ramada Risso, 1827) migration to freshwater, the total lipid content and fatty acid (FA) profile of female’s muscle and gonads caught in both the estuary and river were analyzed. The freshwater contingent presented a higher body condition, greater muscle gross energy, and larger gonads with higher lipid reserves. These animals showed a muscle profile rich in C16:1n-7 and lower LC-PUFA that contrast with the higher relative amount of C18:1n-9, n-3 FA, and unsaturated LC-PUFA, such as C18 and C20 FA found in the estuarine contingent. The gonads of both contingents showed a constant and high relative amount of polyunsaturated FAs (PUFA, 37%). However, in terms of essential fatty acids (EFAs), the estuarine contingent had a higher relative amount of C18:2n-6, C20:4n-6, C20:5n-3, and C22:6n-3. On the other hand, the freshwater contingent showed a higher relative amount of n-3 FA precursors, namely C18:3n-3, and a still low relative amount of C22:6n-3. This suggests a mismatch between the metabolic omega-3 pathway and the physiological maturity stages, similar to a phenomenon of dormancy. In this sense, not all these individuals may reproduce annually, and the later stages of gonad development will require supplementary energy derived from feeding at the estuary. Thus, freshwater migration may promote a reproductive strategy enabling adults to take advantage of the warm and food-rich summer/autumn period, adjust spawning and juvenile appearance, and reduce the population’s exposure to habitat changes and/or stochastic events.
Attraction opportunities for enotourism among international travellers to Spanish wine PDO regions
Authors: Jannes Gil , Barreal Jesús 
Published: February 2024

AbstractWe analyze why the impact of wine tourism in Spain lags behind France and Italy. We argue that a key factor is a lack of attraction of foreign enotourists, especially among tourists who visit a wine PDO region anyway. The international tourist profiles visiting such Spanish wine PDOs are identified and segmented with the ultimate objective of fine-tuning the gastro-touristic offer in these regions. In particular, an innovative two-step Latent Class Model (LCM) with covariates is developed. The first step concerns the sociodemographic profiles of potential international enotourists, which is therefore complementary to existing segmentations of actual enotourists. The second step uses touristic activities in order to profile the possible ways of reaching different types of tourists. The daily expenditure and the tourists' valuation are included as covariates, allowing to predict the probability of class membership, and thus to define priority target profiles for market positioning.
Promoting Student Engagement in Online Education: Online Learning Experiences of Dutch University Students
Authors: Vermeulen Emma J. , Volman Monique L. L. 
Published: February 2024

AbstractStudent engagement is an important factor in higher education learning, but engaging students in online learning settings has been found to be challenging. Little research has been conducted yet into how online learning activities can engage students. In this study, students’ experiences with online education were examined during the COVID-19 pandemic to find out what online learning activities promoted their engagement and what underlying engagement mechanisms informed those activities. Six online focus groups were held via Zoom with students (N = 25) from different social sciences programs at the University of Amsterdam. Findings revealed synchronous and asynchronous online learning activities that stimulated three dimensions of engagement and their underlying mechanisms. Behavioral engagement was stimulated through activities that promote attention and focus, inspire effort, break barriers, and provide flexibility. Affective engagement was stimulated through activities that promote a group feeling, encourage interaction, and create a sense of empathy and trust. And cognitive engagement was stimulated through activities that generate discussion and personalization. This research provides teachers with insights into how to promote student engagement in online education.
Development of teachers’ attitudes and self-efficacy expectations for inclusive mathematics instruction: effects of online and blended learning programs
Authors: Nührenbörger Marcus , Wember Franz B. , Wollenweber Tobias , Frischemeier Daniel , Korten Laura , Selter Christoph 
Published: February 2024

Abstract
This paper presents the results of a quantitative study investigating the development of teachers' attitudes and self-efficacy expectations for inclusive mathematics instruction in the context of an in-service training that was designed in a blended learning format and compared to an unsupported online offer. In the blended learning format, 101 teachers participated in an in-service training, designed as a combination of six workshops with concrete activities based on materials for inclusive mathematics teaching and intermittent practical phases with collaborative learning environments for children aged 6–12 years. The teachers' attitudes toward inclusive mathematics instruction and self-efficacy expectations are collected by using published scales (KIESEL) and scales under development. The effects of the blended learning program are analyzed by the t test for dependent samples or the nonparametric Wilcoxon signed-rank test and compared to the effects of an online offer without further guidance and support. On the one hand, the results indicate the importance of the blended learning program in comparison with the unsupported online offer. On the other hand, they show insights into the relevance of the participants' interaction with the materials during the concrete activities as well as of their try outs in and their reflection on teaching practice during the intermittent practical phases.
Young Mothers and Dating Violence: An Examination of Depressive Symptomatology and Interpersonal Competency
Authors: Wallace Lauren C. , Jones Meredith C. , Angelone D. J. , Fife Dustin 
Published: February 2024

Abstract
Purpose
Young mothers are an understudied group at high risk for dating violence (DV) victimization and perpetration. Prior research has investigated depressive symptomatology as a predictor of DV in female adolescents and young women; however, minimal research focuses on young mothers, and the specific mechanisms influencing the relationship between depressive symptomatology and DV for young mothers remain elusive. Interpersonal competency is one potential mechanism given its role in creating healthy foundations for romantic relationships. The present study examined interpersonal competency as a potential mechanism linking depressive symptomatology and DV victimization and perpetration in a sample of young mothers. We hypothesized young mothers with elevated depressive symptomatology would report higher rates of DV victimization and perpetration, and that these associations would be mediated by interpersonal competence.

Methods
Young mothers ages 18–21 in the United States (n = 238) completed questionnaires pertaining to our primary variables of interest via an online, cross-sectional survey. We conducted a mediation analysis to examine the average causal mediation and average direct effects.

Results
DV experiences were related to depressive symptomatology and interpersonal competency. Interpersonal competency was not a mediator; however, direct effects were present between depressive symptomatology and DV victimization and perpetration.

Conclusions
Our results suggest that prevention interventions should target depressive symptomatology (i.e., hopelessness, feeling easily bothered, social isolation) and interpersonal competency (i.e., initiation, disclosure, emotional support) to reduce young mothers’ DV experiences.
An Experimental Study on how Messaging from CDC Affects Attitudes toward Mandatory MMR Vaccination for Schoolchildren
Authors: Viskupič Filip , Wiltse David L. 
Published: February 2024

Abstract
Background
During the COVID-19 pandemic, public health institutions, particularly the Centers for Disease Control and Prevention (CDC), were frequently attacked by politicians. Popular trust in these institutions declined, particularly among self-identified Republicans. Therefore, the effectiveness of public health institutions as vaccination messengers might have been weakened in the post-COVID-19 period. We conducted a survey experiment examining the effectiveness of messaging from the CDC in shaping people’s attitudes toward mandatory MMR (measles-mumps-rubella) vaccination for schoolchildren.

Methods
The experiment was embedded in a survey fielded in South Dakota, a “red state” with a population predisposed to distrust the CDC. Using registration-sampling, we received 747 responses. We used difference-in-means tests and multivariate regression to analyze the data.

Results
We found that participants who received a message from the CDC were more likely to support MMR vaccine mandate for schoolchildren than participants who received the same prompt from a state agency. Further analyses showed that messaging from the CDC was particularly effective among Republicans.

Discussion
Overall, our study showed that although the CDC was caught up in the political skirmishes during the COVID-19 pandemic, it remains an authoritative source of public health information.

Conclusions
Public health officials at the local and state levels should not shy away from referring to the CDC in their vaccination messaging.
Barriers to immaterial property rights development in research organizations: an explorative study from Finland
Authors: Suominen Arho , Deschryvere Matthias 
Published: February 2024

AbstractThis study analyses immaterial property rights related organizational processes in public research organizations. The study investigates the structural barriers limiting intellectual property rights development and commercialization. In addition, the study focuses on how different types of public research organizations, namely universities, research and technology organizations, and polytechnics, differ in this respect. The study was implemented as a survey with 493 respondents. The study found that lack of awareness and questions around the impact IPR are the main barriers to immaterial property rights development. The study also found differences in organizational practices between RTOs and universities.
Electrochromic windows based on luminescent acrylate/ionosilicas
Authors: Pinheiro Daniela , Pereira Rui F. P. , Gonçalves Alexandra , Correia Sandra F. H. , Silva M. Manuela , Fortunato Elvira , Gonçalves Maria Cristina , Ferreira Rute A. S. , de Zea Bermudez Verónica 
Published: February 2024

AbstractPoly(methyl methacrylate) (PMMA)-based composite films doped with lanthanide-doped sol–gel derived imidazolium-based ionosilicas (IS-Ln) were recently proposed as active layers of luminescent down shifting (LDS) layers, but subsequent work demonstrated also their potential as electrolytes for electrochromic devices (ECDs) with foreseen application in smart windows of energy-efficient buildings. Nevertheless, some challenges remained to be addressed in the latter devices, the most critical one being the poor solubility of PMMA in the ionic liquid used in the formulation of these materials. To avoid this drawback, in the present work we propose novel lanthanide-containing acrylate/ionosilicas (AC/IS-Ln, Ln = Tb3+, Eu3+). The transparent, homogeneous, and luminescent hybrid materials synthesized are characterized by Fourier transform infrared spectroscopy, X-ray diffraction, thermogravimetric analysis, atomic force microscopy, contact angle measurements, ionic conductivity, and photoluminescence spectroscopy. Optimized samples are successfully employed as electrolytes in luminescent ECD prototypes. The ECD device doped with AC/IS-Eu shows good cycling stability with reproducible bleaching/coloring over 50 chronoamperometry cycles, high coloration efficiency (CE) values CEin/CEout in the visible (−89/+98 cm2 C−1), and near-infrared (−126/138 cm2 C−1) spectral regions, and outstanding memory effect.
Graphical Abstract
Isoconversional analysis of thermally stimulated events on pillared cyanometallates
Authors: Avila Y. , Ramírez Erick , Morgado P. A. , Ibarra Ilich A. , Rodríguez-Hernández J. , Balmaseda Jorge 
Published: February 2024

AbstractWe report the analysis, by the advanced isoconversional method of Vyazovkin, of the thermal events of pyridine molecule loss and spin crossover occurring in the two-dimensional compounds of molecular formulas: Fe(Pyridine)2[Fe(CN)5NO] and Fe(Pyridine)2[Ni(CN)4]. Experimental thermogravimetric data were used to analyze the thermal evolution of pyridine molecules in both compounds. Calorimetry was used to study the spin crossover in Fe(Pyridine)2[Ni(CN)4], while SQUID magnetometric for Fe(Pyridine)2[Fe(CN)5NO]. The analysis of the effective activation energy of the pyridine loss process suggested that, in both compounds, the thermal evolution of these molecules is highly influenced by the particle size due to the occurrence of a structural transformation of the gate-opening type. The effective activation energy of the latter technique applied to compound Fe(Pyridine)2[Ni(CN)4] showed a behavior very similar to that expected for a solid–solid transition that occurs by the nucleation mechanism. The results obtained shed light on the way towards the application of the studied compounds in sensors and switches devises for molecular detection.
Epigenetic-related transcriptional reprogramming elucidated by identification and validation of a novel reference gene combination for RT-qPCR studies in porcine oocytes of contrasting quality
Authors: Haug Linda Marijke , Wilson Robert C. , Alm-Kristiansen Anne Hege 
Published: February 2024

Abstract

Background
Reliable RT-qPCR results are dependent on appropriate normalisation. Oocyte maturation studies can be challenging in this respect, as the stage of development can distinctively affect reference gene transcript abundance. The aim of this study was to validate the use of reference genes in oocyte in vitro maturation RT-qPCR studies, and thereafter, examine the abundance of transcripts supporting histone modification during oocyte and early embryo development in oocytes of contrasting quality.

Methods and results
Total RNA from oocytes from prepubertal gilts and sows was extracted either directly succeeding follicle aspiration or after 44 h in vitro maturation, followed by RT-qPCR. The stability of YWHAG, HPRT1, ACTB, GAPDH, HMBS and PFKP, was analysed by NormFinder and further cross-validated by assessing results generated following application of different combinations of potential reference genes for normalisation of the RT-qPCR data. Combining ACTB and PFKP generated high stability according to NormFinder and concordant results. Applying this normalisation, gilt derived oocytes displayed significantly higher abundance than oocytes from sows of almost all the epigenetic-related transcripts studied (HDAC2, SIRT1, SALL4, KDM1A, KDM1B, KDM5A), both before and after maturation.

Conclusions
This study identified the combined use of ACTB and PFKP as the optimal normalisation for porcine oocyte RT-qPCR data. In oocytes collected from prepubertal gilts, transcription did not appear to be silenced at the time of aspiration, and accumulation of transcripts supporting histone modification facilitating proper fertilization and further embryo development seemed delayed. The results imply the epigenetic-related transcripts may have potential as markers of oocyte quality.
Compounding effects of changing sea level and rainfall regimes on pluvial flooding in New York City
Authors: Ghanbari Mahshid , Dell Tyler , Saleh Firas , Chen Ziyu , Cherrier Jennifer , Colle Brian , Hacker Joshua , Madaus Luke , Orton Philip , Arabi Mazdak 
Published: February 2024

AbstractCoastal urban areas like New York City (NYC) are more vulnerable to urban pluvial flooding particularly because the rapid runoff from extreme rainfall events can be further compounded by the co-occurrence of high sea-level conditions either from tide or storm surge leading to compound flooding events. Present-day urban pluvial flooding is a significant challenge for NYC and this challenge is expected to become more severe with the greater frequency and intensity of storms and sea-level rise (SLR) in the future. In this study, we advance NYC’s assessment of present and future exposure to urban pluvial flooding through simulating various storm scenarios using a citywide hydrologic and hydraulic model. This is the first citywide analysis using NYC’s drainage models focusing on rainfall-induced flooding. We showed that the city’s stormwater system is highly vulnerable to high-intensity short-duration “cloudburst” events, with the extent and volume of flooding being the largest during these events. We further showed that rainfall events coupled with higher sea-level conditions, either from SLR or storm surge, could significantly increase the volume and extent of flooding in the city. We also assessed flood exposure in terms of the number of buildings and length of roads exposed to flooding as well as the number of the affected population. This study informs NYC’s residents of their current and future flood risk and enables the development of tailored solutions to manage increasing flood risk in the city.