bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sexual Consent Norms in a Sexually Diverse Sample
Authors: Harris Emily A. , Morgenroth Thekla , Crone Damien L. , Morgenroth Lena , Gee Isabel , Pan Harry 
Published: November 2023

AbstractSexual consent has received increased attention in mainstream media, educational, and political settings since the rise of the #MeToo movement in 2017. However, long before #MeToo, sexual consent has been a core practice among people who engage in Bondage and Discipline, Dominance and Submission, Sadism, and Masochism (BDSM). This study examined sexual consent norms among a sexually diverse sample, including people who practice BDSM (n = 116), people who identify with another sexual minority group, such as swingers and sex workers (n = 114), and people who did not identify with a sexual minority group, termed sexual majority group members (n = 158). Explicit consent for both BDSM- and non-BDSM-related activities was rated as more common (descriptively normative) among people who were a member of the BDSM community compared to majority participants. Further, BDSM participants rated consent discussions as less sexually disruptive compared to majority participants. We found no significant group differences in the extent to which people thought sexual consent should be discussed. We also discuss findings from an open-ended question asking participants to recall a recent sexual experience with a new partner. This study demonstrates variability in consent norms between groups and points to the potential to shift sexual consent behaviors among majority participants.
Not one but two: examining the genetic origin and characterization of the non-native spectacled caiman (Caiman crocodilus) in Florida
Authors: Parks Andrew J. , Godfrey Sidney T. , Gross Brandon A. , Balaguera-Reina Sergio A. , Smith Nicholas G. , Mazzotti Frank J. , Densmore Llewellyn D. 
Published: November 2023

AbstractThe US state of Florida is home to an alarmingly large number of invasive species, many of which have proven detrimental to native ecosystems. Biological invasions of reptiles in particular have been a major concern in recent years. The spectacled caiman (Caiman crocodilus) was first introduced from Latin America to Florida in the 1950’s. Given there are now established breeding populations across southern Florida, there are ongoing efforts to control them. Therefore, there is a need to understand this species’ natural history and introduction pathways. Previous studies have cited the Caribbean Coastal region of Colombia as a primary, and possibly exclusive, origin of C. crocodilus in Florida, and the species was identified as belonging to the C. c. fuscus molecular lineage. However, previous genetic sampling has been limited and may have been biased by small sample sizes and limited geographic scale. We collected 27 genetic samples from caimans captured in Florida, and sequenced the mitochondrial genes, Cytochrome oxidase I (COI) and Cytochrome B (CytB) for comparison with homologous gene fragments available for the species at GenBank. We found genetic evidence for multiple introduction events and the taxonomic classification of the Florida caimans as two distinct molecular lineages (C. c. fuscus and C. c. crocodilus) originating from at least two different regions: the Magdalena River Basin in Colombia and the Upper Branco River Basin in northern Brazil. This study helps to elucidate the genetic history of Florida caimans and provides valuable insight for population management of the species in Florida.
Resilience in Adolescent Girls in Child Welfare: Reliability and Validity of the RS-14
Authors: Auslander Wendy , Cheng Shih-Ying , Edmond Tonya E. 
Published: November 2023

AbstractAdverse childhood experiences, such as abuse and neglect, have been shown to have longstanding negative consequences on a child’s development and outcomes. Studies have noted that there is variation in how youth in child welfare respond to adversity, yet few studies have examined the psychometrics of measures of resilience in this population. In particular, the 14-item Resilience Scale (RS-14) is a widely used instrument yet has not been evaluated for use with adolescents in child welfare populations. The purpose of the study was to describe the levels of resilience reported by adolescent girls involved in the child welfare system and to evaluate the reliability, validity, and factor structure of this scale in this population. Participants were 249 adolescent girls, ages 12–19, who were involved in the child welfare system. Interviews assessed resilience, symptoms of post-traumatic stress, depression, social problem-solving, and demographic variables. Results indicated that levels of resilience among the participants were in the moderate range. The RS-14 demonstrated evidence of good internal consistency and test–retest reliability. Convergent and discriminant validity were established. Confirmatory factor analysis testing a single-factor solution resulted in a weak model fit. A follow-up exploratory factor analysis supported a two-factor solution. Findings suggest this instrument is an appropriate tool for use in child welfare populations.
Detecting non-verbal speech and gaze behaviours with multimodal data and computer vision to interpret effective collaborative learning interactions
Authors: Zhou Qi , Suraworachet Wannapon , Cukurova Mutlu 
Published: November 2023

AbstractCollaboration is argued to be an important skill, not only in schools and higher education contexts but also in the workspace and other aspects of life. However, simply asking students to work together as a group on a task does not guarantee success in collaboration. Effective collaborative learning requires meaningful interactions among individuals in a group. Recent advances in multimodal data collection tools and AI provide unique opportunities to analyze, model and support these interactions. This study proposes an original method to identify group interactions in real-world collaborative learning activities and investigates the variations in interactions of groups with different collaborative learning outcomes. The study was conducted in a 10-week long post-graduate course involving 34 students with data collected from groups’ weekly collaborative learning interactions lasting ~ 60 min per session. The results showed that groups with different levels of shared understanding exhibit significant differences in time spent and maximum duration of referring and following behaviours. Further analysis using process mining techniques revealed that groups with different outcomes exhibit different patterns of group interactions. A loop between students’ referring and following behaviours and resource management behaviours was identified in groups with better collaborative learning outcomes. The study indicates that the nonverbal behaviours studied here, which can be auto-detected with advanced computer vision techniques and multimodal data, have the potential to distinguish groups with different collaborative learning outcomes. Insights generated can also support the practice of collaborative learning for learners and educators. Further research should explore the cross-context validity of the proposed distinctions and explore the approach’s potential to be developed as a real-world, real-time support system for collaborative learning.
Seasonal evaluation and mapping of aboveground biomass in natural rangelands using Sentinel-1 and Sentinel-2 data
Authors: Rapiya Monde , Ramoelo Abel , Truter Wayne 
Published: November 2023

AbstractRangelands play a vital role in developing countries’ biodiversity conservation and economic growth, since most people depend on rangelands for their livelihood. Aboveground-biomass (AGB) is an ecological indicator of the health and productivity of rangeland and provides an estimate of the amount of carbon stored in the vegetation. Thus, monitoring seasonal AGB is important for understanding and managing rangelands’ status and resilience. This study assesses the impact of seasonal dynamics and fire on biophysical parameters using Sentinel-1 (S1) and Sentinel-2 (S2) image data in the mesic rangeland of Limpopo, South Africa. Six sites were selected (3/area), with homogenous vegetation (10 plots/site of 30m2). The seasonal measurements of LAI and biomass were undertaken in the early summer (December 2020), winter (July–August 2021), and late summer (March 2022). Two regression approaches, random forest (RF) and stepwise multiple linear regression (SMLR), were used to estimate seasonal AGB. The results show a significant difference (p < 0.05) in AGB seasonal distribution and occurrence between the fire (ranging from 0.26 to 0.39 kg/m2) and non-fire areas (0.24–0.35 kg/m2). In addition, the seasonal predictive models derived from random forest regression (RF) are fit to predict disturbance and seasonal variations in mesic tropical rangelands. The S1 variables were excluded from all models due to high moisture content. Hence, this study analyzed the time series to evaluate the correlation between seasonal estimated and field AGB in mesic tropical rangelands. A significant correlation between backscattering, AGB and ecological parameters was observed. Therefore, using S1 and S2 data provides sufficient data to obtain the seasonal changes of biophysical parameters in mesic tropical rangelands after disturbance (fire) and enhanced assessments of critical phenology stages.
Climate change, traditional ecological knowledge, and riverine biodiversity conservation: a case in Aklan, Central Philippines
Authors: Maliao Ronald J. , Cahilig Ritchel C. , Cahilig Richard R. , Jaspe Beverly T. 
Published: November 2023

Abstract
We framed climate change (CC) discourse through its disruptions to local culture and livelihood in a subsistence riverine fishing community in Central Philippines. Our main goal was contextualizing how local communities' traditional ecological knowledge (TEK) related to climate, fisheries, and taboos can strengthen freshwater fisheries management and biodiversity conservation. We adopted a mixed-method purposive sampling of the 126 fishing households in the Nabaoy River Watershed in the municipality of Malay in Aklan province. The high CC awareness was associated with the increasing frequency and intensity of extreme climatological events and erratic weather patterns. These CC-driven perturbations were primarily attributed to the ballooning human population and deforestation. These threats, in turn, were linked to the diminishing state of the Nabaoy River, heralded by the perceived marked decline of frog and dragonfly populations believed to be indicators of river health. Riverine biodiversity was also perceived as dwindling, with fish catch and their sizes shrinking. Furthermore, the observed fishing taboos guiding local informal (de facto) institutions corroborated formal (de jure) temporal and spatial fisheries management measures. Indeed, local communities have relevant long-term knowledge of management (e.g., TEK) and development-oriented structures and systems (e.g., informal institutions). These invaluable social capital assets are crucial in building resilient governance systems to address local conservation issues and concerns, particularly in data-deficient areas or lacking formal management contexts. Hence, formal management interventions should integrate TEK and the informal institution in which it is embedded and engage local TEK holders as partners in freshwater conservation efforts.
Akt/mTOR Pathway Agonist SC79 Inhibits Autophagy and Apoptosis of Oligodendrocyte Precursor Cells Associated with Neonatal White Matter Dysplasia
Authors: Li Zhongni , Zhang Feng , Huang Li , Deng Jiehong , Pan Yutong , Xu Ting , Liu Jingyi , Gao Na , Duan Rongrong , Shao Chunyan , Wu Chan , Wang Minrong , Lu Liqun 
Published: November 2023

AbstractWhite matter dysplasia (WMD) in preterm infants due to intrauterine inflammation is caused by excessive apoptosis of oligodendrocyte precursor cells (OPCs). In recent years, studies have found that excessive autophagy and apoptosis are highly interconnected and important in infection and inflammatory diseases in general. Therefore, in this study, we aimed to confirm whether regulation of autophagy by using the Akt phosphorylation agonist SC79 can inhibit abnormal apoptosis of OPCs and promote myelin maturation and white matter development in neonatal rats with WMD. We investigated the effect of inflammation on oligodendrocyte development in P0 neonatal rats by intracerebellar injection of LPS, and collected brain tissue at P2 and P5. Immunohistochemical and immunofluorescence staining were used to evaluate white matter damage, while immunofluorescence staining, terminal deoxynucleotidyl transferase dUTP nick end labeling analysis (TUNEL), and western blotting were used to evaluate autophagy and apoptosis. First, we observed that white matter development was arrested and white matter fiber maturation was impaired in LPS-inflicted pups compared with those in the sham-operated group. Second, treatment with SC79 reduced the levels of LC3II, caspase 3, caspase 9, and Bax/Bcl-2 and increased the levels of p62, p-Akt, and p-mTOR in the brain tissue of neonatal rats. Finally, SC79 treatment inhibited OPC apoptosis by increasing the binding of Beclin 1 to Bcl-2, which promoted OPC differentiation and maturation. However, the opposite results were observed after rapamycin administration. Taken together, our results suggest that SC79 can inhibit the abnormal apoptosis of OPCs caused by excessive autophagy through the Akt/mTOR pathway and that SC79 is a potential therapeutic agent for WMD in preterm infants.
Entrepreneurship in religious organizations: How the Church of England developed an entrepreneurial orientation
Authors: van Werven Ruben 
Published: November 2023

AbstractPrior research established that religion shapes country-level entrepreneurial activity as well as individual-level entrepreneurial decisions. The organizational level has received less research attention. It is particularly unclear how the combination of entrepreneurship and religion is forged in established religious organizations. Through a historical case study of the Church of England’s efforts toward developing an entrepreneurial orientation (EO), my paper sheds light on that issue. The findings indicate that, in religious settings, an entrepreneurial orientation materializes through a lengthy, contested process. Two mutually reinforcing mechanisms – polysemy dynamics and idea sedimentation – play an important role in this process. I theorize that these mechanisms, despite delaying EO development, address resistance and thereby drive progress toward a comprehensive entrepreneurial orientation.
Empathy with Future Generations?
Authors: Schramme Thomas 
Published: November 2023

AbstractIn this paper, I analyse whether empathy with future generations is feasible and whether it is a potentially useful instrument in effectively providing resources for future generations. I argue that empathy with future generations is possible, that it likely leads to a form of minimal concern, and that it can help in solving the relevant motivational problem. The most significant hurdle is not so much to do with achieving the required normative recognition of future generations, but with epistemic problems regarding the right actions in protecting future interests and needs. Empathy can again be of help in this regard, but it would need to be successfully trained and supported. We need to stretch our empathy to non-existing people and we need to constrain our imagination in adequate ways to achieve a sufficient understanding of the perspectives of future people.
An assessment of the condition of flowing waters in predominantly urban areas of the conterminous U.S. and its relationship to measures of environmental justice
Authors: Herlihy Alan T. , Kuntz Kerry L. , Benkendorf Donald J. , Holdsworth Susan 
Published: November 2023

AbstractUrbanization often leads to environmental degradation and there is a growing concern that these impacts are inequitably distributed. We assessed the condition of urban flowing waters across the conterminous US using data from EPA’s National Rivers and Streams Assessment and tested whether degradation was related to metrics of environmental justice (EJ). We found that urban flowing waters are more degraded than their non-urban counterparts. Indeed, the proportion of the length of the nation’s urban flowing waters in poor condition, based on common environmental quality indicators, was often nearly twice as high as the proportion for the nation’s flowing waters as a whole. The majority of urban waters were in poor ecological condition for water quality integrity, nutrient concentrations, and riparian disturbance although, most were in good ecological condition for riparian vegetation, instream cover, bed sediment, enterococci, and dissolved oxygen. For biological indicators, urban flowing water was mostly in poor condition for both fish (52% of total length) and macroinvertebrate biotic integrity (80% of total length). Despite widespread degradation, we did not find that flowing water degradation was strongly related to the two EJ measures we analyzed (% low income and % minority). The highest correlations we observed (|r|=0.3) were between fish biotic integrity and % low income, and between riparian disturbance and % low income. To our knowledge, this is the first study to assess the pervasiveness of urban flowing water degradation and its relationship to EJ on a national scale. While this study did not uncover a compelling association between the studied environmental parameters and income and minority status in the surrounding human population, more research is needed to assess access to healthy rivers and streams for all communities.
Hands-on tasks make learning visible: a learning analytics lens on the development of mechanistic problem-solving expertise in makerspaces
Authors: Davis Richard Lee , Schneider Bertrand , Rosenbaum Leah F. , Blikstein Paulo 
Published: November 2023

AbstractThis study investigated the impact of participating in a year-long digital-fabrication course on high-school seniors’ problem-solving skills, with a focus on problems involving mechanistic systems. The research questions centered on whether working in a makerspace impacted students’ abilities to solve such problems and whether the process data generated during problem-solving activities could be used to identify the different problem-solving approaches taken by the participants. A novel set of hands-on, mechanistic problems were created to answer these questions, and the results showed that after taking part in the course students performed significantly better on these problems, with the post-course students making more progress towards the solutions than the pre-course students. The process data revealed two distinct problem-solving approaches for each problem, one adopted primarily by experts (the expert approach) and one by pre-course students (the novice approach). The post-course students were more likely to adopt the expert approaches, which were strongly associated with better performance on each problem. The study found that participation in the course made the high-school students better able to “see” the various components and their ways of interacting, making them more like expert engineers.
Governments as borrowers and regulators
Authors: Betz Timm , Pond Amy 
Published: November 2023

AbstractThe ability to borrow is important for government survival. Governments routinely resort to policies that privilege their own debt on financial markets, exploiting their dual role as borrowers and regulators. We label such policies as borrowing privileges. These borrowing privileges nudge investors to hold the government’s own debt. They share similarities with prudential regulation, but skew the market in favor of the government’s debt; and they share similarities with financial repression, but are less severe and thus consistent with the growth of financial markets. Introducing the first systematic dataset documenting the use of such policies across countries and over time, we demonstrate that governments implement borrowing privileges when their interactions with the global economy heighten fiscal needs: when borrowing costs indicate tightened access to credit, when trade liberalization undercuts revenue, and where fixed exchange rates increase the value of fiscal space. Despite the mobility of financial assets and constraints from global markets, governments retain latitude in regulating domestic markets to their own fiscal benefit.
ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique
Authors: Loh Hui Wen , Ooi Chui Ping , Oh Shu Lih , Barua Prabal Datta , Tan Yi Ren , Acharya U. Rajendra , Fung Daniel Shuen Sheng 
Published: November 2023

AbstractIn this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelopmental disorder, is being studied alongside its comorbidity, conduct disorder (CD), a behavioral disorder. Because ADHD and CD share commonalities, distinguishing them is difficult, thus increasing the risk of misdiagnosis. It is crucial that these two conditions are not mistakenly identified as the same because the treatment plan varies depending on whether the patient has CD or ADHD. Hence, this study proposes an electroencephalogram (EEG)-based deep learning system known as ADHD/CD-NET that is capable of objectively distinguishing ADHD, ADHD + CD, and CD. The 12-channel EEG signals were first segmented and converted into channel-wise continuous wavelet transform (CWT) correlation matrices. The resulting matrices were then used to train the convolutional neural network (CNN) model, and the model’s performance was evaluated using 10-fold cross-validation. Gradient-weighted class activation mapping (Grad-CAM) was also used to provide explanations for the prediction result made by the ‘black box’ CNN model. Internal private dataset (45 ADHD, 62 ADHD + CD and 16 CD) and external public dataset (61 ADHD and 60 healthy controls) were used to evaluate ADHD/CD-NET. As a result, ADHD/CD-NET achieved classification accuracy, sensitivity, specificity, and precision of 93.70%, 90.83%, 95.35% and 91.85% for the internal evaluation, and 98.19%, 98.36%, 98.03% and 98.06% for the external evaluation. Grad-CAM also identified significant channels that contributed to the diagnosis outcome. Therefore, ADHD/CD-NET can perform temporal localization and choose significant EEG channels for diagnosis, thus providing objective analysis for mental health professionals and clinicians to consider when making a diagnosis.