bluuebunny/crossref_metadata_2025_split huggingface dataset:
Findings From a Community Survey of Individuals Who Engage in Pup Play
Authors: Wignall Liam , McCormack Mark , Cook Taylor , Jaspal Rusi 
Published: April 2022

AbstractThis study presents findings from a community survey on pup play. Pup play is a kink activity and a form of role play that is growing in popularity internationally, and gaining increasing attention in sexology, yet prior research on pup play has almost entirely employed qualitative methods and primarily involved gay and bisexual men. Using survey data of 733 pup play participants primarily from the US, but also internationally, this study reports on the demographics of participants, how they engage in pup play, its social and sexual elements, and how it relates to social identity and mental health. Unique pup names and identifying with breeds of dogs were used to foster a sense of individuality within pup play, while the majority of participants owned and wore gear when engaging in pup play. We also found significant associations between being younger and identifying as a pup. Most participants reported that pup play improved their mental health. Binary logistic regression analyses indicated that having a mental health diagnosis was associated with identifying with a more social style of pup play and self-reporting the mental health benefits of pup play. We find that the conceptualization of pup play in the existing literature to be accurate to this international sample and highlight areas where further research is needed, alongside limitations of the study.
Social Perception of Non-Binary Individuals
Authors: Hansen Karolina , Żółtak Katarzyna 
Published: April 2022

AbstractPeople can express their identity in different ways, one of which is through language. Non-binary individuals often speak in a gender-neutral way and use specific language forms. Language use not only reveals their identity but also can shape how others perceive them. The present study’s purpose was to analyze how non-binary people are perceived through the language they use. The research was conducted in Polish, a language that is especially challenging for non-binary individuals because it has many gender markers. To avoid using gendered forms, they often use a specific form of passive voice. In an experiment, participants (N = 130, 102 women, 28 men) read a gendered (feminine or masculine) text and a gender-neutral text with passive voice. Most gave a masculine name to the person in the neutral text, but addressed them in a gender-neutral way when asked to react to them in presented scenarios. The gender-neutral text was evaluated as being less comprehensible than the gendered texts, and the non-binary person was rated less competent and colder than a man or a woman and was less socially accepted. Furthermore, the negative evaluation of non-binary people seemed to be attributable to unfamiliarity with gender-neutral language and its lower comprehensibility. More research is needed to understand these perceptions better and to be able to prevent their potential negative consequences.
Demographic patterns of the tropical baitfish Spratelloides delicatulus (Order: Clupeiformes) across the Great Barrier Reef shelf and at multiple latitudes
Authors: Kingsford Michael J. , Hartog-Burnett Kynan , Woodcock Emma J. 
Published: April 2022

Abstract
Clupeiformes are the most important food fish in the world, and provide a key trophic link in marine food chains. Here we describe broad scale patterns of clupeiform demographic characteristics of the delicate round herring sprat Spratelloides delicatulus on the Great Barrier Reef (GBR). Sampling was conducted over 10° of latitude and two seasons at multiple distances across the GBR shelf. The oldest S. delicatulus sampled was 152 days and the maximum standard length was 74 mm. Age and length maxima increased with latitude conforming with ‘counter gradient theory’ and these patterns were consistent between years. von Bertalanffy relationships showed that growth rates were highest at Northern GBR sites; growth coefficients ranged from 2–6 K year−1, and were lowest on southern reefs, i.e. ‘tropical gradient of growth’. Daily survivorship ranged from 91–97% day−1 at all sites. Hatching dates estimated from counts of daily otolith increments indicated a prolonged spawning season of at least 9 months. Reproductive development indicated a size-based relationship. Males and females matured at similar sizes ranging from 36–38 mm, but fish from southern sites were 30–40 days older. Tropical clupeiforms live fast and die young, and patterns of abundance, composition and demography followed strong environmental gradients which conformed to some existing models.
Stirring a Secret Sauce: A Literature Review on the Conditions and Effects of Authentic Learning
Authors: Nachtigall Valentina , Shaffer David Williamson , Rummel Nikol 
Published: April 2022

Abstract
The present conceptual literature review analyzes 50 studies that systematically examined the effects of authentic learning settings on cognitive or motivational learning outcomes. The analysis focuses on describing the context of the studies, the design elements of authentic learning settings, and the pursued intentions of authenticity. The review further describes the effects of authentically designed learning settings on cognitive outcomes, motivational outcomes, and learners’ perceived authenticity revealed by previous research. Building on these findings, we conducted Epistemic Network Analysis (ENA) of contrasting cases to identify design elements and intentions of authenticity characterizing studies that show high effectiveness for cognitive and motivational outcomes versus those with low effectiveness. The ENA results suggest, for instance, that providing authentic materials (as a design element of authentic learning settings) to resemble real-life experiences (as an intention of authenticity) could be a double-edged sword, as they feature both authentically designed learning settings with low effects on cognitive outcomes and settings with high effects on motivational outcomes. Overall, the results of the present literature review point to critical limitations of previous research, such as a lack of clear definitions and operationalizations of authentic learning. Consequently, we draw specific conclusions about how future research could improve our understanding of how to create and implement powerful methods of authentic learning.
Welcome to the era of vague news: a study of the demands of statistical and mathematical products in the COVID-19 pandemic media
Authors: Gal Iddo , Geiger Vince 
Published: April 2022

AbstractIn this article, we report on a typology of the demands of statistical and mathematical products (StaMPs) embedded in media items related to the COVID-19 (coronavirus) pandemic. The typology emerged from a content analysis of a large purposive sample of diverse media items selected from digital news sources based in four countries. The findings encompass nine categories of StaMPs: (1) descriptive quantitative information, (2) models, predictions, causality and risk, (3) representations and displays, (4) data quality and strength of evidence, (5) demographics and comparative thinking, (6) heterogeneity and contextual factors, (7) literacy and language demands, (8) multiple information sources, and (9) critical demands. We illustrate these categories via selected media items, substantiate them through relevant research literature, and point to categories that encompass new or enhanced types of demands. Our findings offer insights into the rich set of capabilities that citizens (including both young people and adults) must possess in order to engage these mass media demands, critically analyze statistical and mathematical information in the media, evaluate the meaning and credibility of news reports, understand public policies, and make evidenced-informed judgments. Our conclusions point to the need to revise current curricular frameworks and conceptual models (e.g., regarding statistical and probability literacy, adult numeracy), to better incorporate notions such as blended knowledge, vagueness, risk, strength of evidence, and criticality. Furthermore, more attention is needed to the literacy and language demands of media items involving statistical and mathematical information. Implications for further research and educational practice are discussed.
Validation and Practical Application of a Data Reduction Software for the Analysis of Data from Stress Relief Tests
Authors: Saltarin Simone 
Published: April 2022

AbstractIn his work "Rock Anisotropy and the Theory of Stress Measurements", Amadei (1983) highlights the importance of the correct geological-technical characterisation of the rocks involved in open pit or underground excavation works. At the laboratory of Geomechanics and Geotechnology (IGG-CNR, Polytechnic of Turin), a data reduction software has been developed which, based on the theory developed by Amadei, allows the estimation of the main stresses acting in selected volumes of rock, on the basis of strains resulting from over-coring, possibly taking into account the transverse isotropy of the material. This paper, after listing the most popular techniques for assessing the state of stress in on-site rocks, focuses on the stress relief method. In particular, the validation tests of the software, called BM2000, are presented, comparing the calculated results with those published by Amadei and with those provided by two software packages from the literature (Smith82, STRESsOUT). After having outlined the input data and the necessary adjustments for their application in the aforementioned software, the results obtained showed excellent correspondence, for the cases of both isotropic and transversely isotropic rock.
A Logic for Conditional Local Strategic Reasoning
Authors: Goranko Valentin , Ju Fengkui 
Published: April 2022

AbstractWe consider systems of rational agents who act and interact in pursuit of their individual and collective objectives. We study and formalise the reasoning of an agent, or of an external observer, about the expected choices of action of the other agents based on their objectives, in order to assess the reasoner’s ability, or expectation, to achieve their own objective. To formalize such reasoning we extend Pauly’s Coalition Logic with three new modal operators of conditional strategic reasoning, thus introducing the Logic for Local Conditional Strategic Reasoning $$\mathsf {ConStR}$$
ConStR
. We provide formal semantics for the new conditional strategic operators in concurrent game models, introduce the matching notion of bisimulation for each of them, prove bisimulation invariance and Hennessy–Milner property for each of them, and discuss and compare briefly their expressiveness. Finally, we also propose systems of axioms for each of the basic operators of $$\mathsf {ConStR}$$
ConStR
and for the full logic.
Facilitators and Barriers to the Sustainability of a School-Based Bullying Prevention Program
Authors: Herkama Sanna , Kontio Mari , Sainio Miia , Turunen Tiina , Poskiparta Elisa , Salmivalli Christina 
Published: April 2022

AbstractThe long-term sustainment of bullying prevention programs has rarely been investigated. This study addresses this gap by identifying facilitators and barriers to the systematic implementation of KiVa antibullying program in real-life conditions, after an evaluation trial. The study is based on focus group interviews with teachers from 15 Finnish primary schools implementing the KiVa program. The schools were selected based on the annual KiVa survey data, with the criteria of long-term involvement in delivering the program and reaching successful outcomes in terms of decreasing trends in bullying and victimization. By utilizing thematic analysis, we identified program-related, organizational, and contextual facilitators and barriers to sustainability. The results stress the importance of organizational factors in promoting program sustainability.
Prevalence of and Risk Factors Associated with Alcohol Overconsumption at 2 Years After Bariatric Surgery
Authors: Siikaluoma Lara , Stenberg Erik , Raoof Mustafa 
Published: April 2022

Abstract

Introduction
Alcohol overconsumption remains one of the adverse effects associated with bariatric surgery. Many previous studies have used subjective methods to evaluate the prevalence of alcohol overconsumption. In 2018, Örebro University Hospital started to use phosphatidylethanol 16:0/18:1 (PEth) as a screening tool pre- and postbariatric surgery. Research exploring alcohol use after bariatric surgery assessed with PEth is scarce.

Aim
The aim of this study is to evaluate the prevalence of alcohol overconsumption in bariatric surgery patients measured 2 years postoperatively with PEth and to identify possible risk factors associated with alcohol overconsumption.

Methods
This was a register-based retrospective, observational cohort study with PEth results collected from medical records at Örebro University Hospital. Patients who underwent bariatric surgery between January 2016 and June 2019 and who were registered in the Scandinavian Obesity Surgery Registry (SOReg) were included.

Results
PEth results from 410 bariatric surgery patients were identified. PEth values significantly increased from baseline to the postoperative follow-up (from 3.0% before surgery to 8.3% at the 2-year follow-up). In a univariate logistic regression analysis, the associated risk factors were found to be male sex (odds ratio, OR 2.14), older age (OR 1.06), and hypertension (OR 3.32).

Conclusion
The prevalence of alcohol overconsumption measured with PEth 2 years after bariatric surgery was 8.3% and was associated with male sex, older age, and hypertension. More studies are needed to validate the results of this study because it is not known whether PEth values are affected by bariatric surgery.

Graphical abstract
The fractional variation and the precise representative of $$BV^{\alpha ,p}$$ functions
Authors: Comi Giovanni E. , Spector Daniel , Stefani Giorgio 
Published: April 2022

AbstractWe continue the study of the fractional variation following the distributional approach developed in the previous works Bruè et al. (2021), Comi and Stefani (2019), Comi and Stefani (2019). We provide a general analysis of the distributional space$$BV^{\alpha ,p}({\mathbb {R}}^n)$$BVα,p(Rn)of$$L^p$$Lpfunctions, with$$p\in [1,+\infty ]$$p∈[1,+∞], possessing finite fractional variation of order$$\alpha \in (0,1)$$α∈(0,1). Our two main results deal with the absolute continuity property of the fractional variation with respect to the Hausdorff measure and the existence of the precise representative of a$$BV^{\alpha ,p}$$BVα,pfunction.
A wavelet convolutional capsule network with modified super resolution generative adversarial network for fault diagnosis and classification
Authors: Monday Happy Nkanta , Li Jianping , Nneji Grace Ugochi , Nahar Saifun , Hossin Md Altab , Jackson Jehoiada , Oluwasanmi Ariyo 
Published: April 2022

AbstractThe study of fault diagnosis and classification has gained tremendous attention in various aspects of modern industry. However, the performance of traditional fault diagnosis technique solely depends on handcrafted features based on expert knowledge which is difficult to pre-design and has failed in several applications. Deep learning (DL) has achieved remarkable performance in hierarchical feature extraction and learning distinctive feature of dataset from related distribution. However, the challenge associated with DL models is that max-pooling operation usually leads to loss of spatial details during high-level feature extraction. Another concern is the low quality characteristics of 2D time-frequency image which is mostly caused by the presence of noise and poor resolution. This paper proposes a modified wavelet convolutional capsule network with modified enhanced super resolution generative adversarial network plus for fault diagnosis and classification. It uses continuous wavelet transform to convert raw data signals to 2D time-frequency images and applies super resolution generative adversarial technique to enhance the quality of the time-frequency images and finally, the convolutional capsule network learns the extracted high-level features without loss of spatial details for the diagnosis and classification of faults. We validated our proposed model on the famous motor bearing dataset from the Case Western Reserve University. The experimental results show that our proposed fault diagnostic model obtains higher diagnosis accuracy of 99.84% outweighing most traditional deep learning models including state-of-the-art methods.
Formal institutions, ICSID arbitration and firm performance: evidence from Latin America
Authors: Enriquez-Perales Sarela , García-Gómez Conrado Diego , Díez-Esteban José María , Bolaños Edmundo R. Lizarzaburu 
Published: April 2022

AbstractThis paper analyzes how a country’s formal institutional quality impacts the performance of listed companies across different Latin American countries (namely, Argentina, Brazil, Colombia, Mexico, Peru, and Chile) and industries. Latin America provides a unique setting to address this question due to the region’s high institutional instability. The sample consists of 571 large listed companies, with a total of 8576 observations, for the period 2004–2019. Results show that the quality of a country’s formal institutions is positively related to firm performance, measured through two alternative variables (ROA and Tobin’s Q). Additionally, countries that are signatories of the ICSID agreement provide companies with a more stable environment in which to do business, which ultimately has a positive impact on their performance. However, as the number of cases recorded before the ICSID increases, the relationship turns negative. The paper provides a more comprehensive understanding of formal institutions by considering six alternative governance dimensions. Moreover, international arbitration is found to be a substitute for formal institutions in Latin American countries.
On Intellectual Independence: The Principal Aim of Universities in New Zealand
Authors: Shephard Kerry 
Published: April 2022

AbstractNew Zealand's Education and Training Act (Education and Training Act 2020 establishment of institutions, https://www.legislation.govt.nz/act/public/2020/0038/latest/LMS202213.html, 2020) confirms that the principal aim of universities is to develop intellectual independence. The act does not stipulate what intellectual independence is or how universities are to develop it. This article explores what intellectual independence might mean in the context of student learning in New Zealand, and what is known about how it could be developed and about how university teachers might confirm that they are developing it. The article provides a conceptual commentary and a model of intellectual independence, designed to encourage debate on this important and pressing higher-education policy issue. The model proposes that intellectual independence is the consequence of students learning the skills and dispositions to think critically, as an independent guide to their own beliefs and actions, and that the Education Act provides a challenge to higher education to contribute positively to the further development of an intellectually-independent critical citizenry.
On-site reduction of nitrogen oxides at an emission hotspot using actively vented photocatalytic reactors in a highway tunnel
Authors: Ehm Clemens , Frohmüller Max O. , Flassak Thomas , Stephan Dietmar 
Published: April 2022

AbstractThis study presents our solution of an active nitric oxides (NOx) control method for large traffic tunnels. A titanium dioxide (TiO2) coated carrier material is assessed using lab-based photocatalysis experiments, leading to a coating with high photocatalytic activity (deposition speed of 1.4 cm/s for nitrogen monoxide, NO). The coating is tested on several carrier materials to maximize the interaction between the reactive surface and the pollution molecules in the air. Several reactor prototype geometries and carrier materials are simulated and tested on a pilot plant scale. A coated PU-foam with 3 cm thickness and porosity of five pores per inch proved to be the most effective carrier material, while a reactor design with vertically flowed stacks of the foam carrier is capable of optimally exploiting the potential of the photocatalytic coating for high volume flows. With data from on-site measurements of the atmospheric conditions and pollution in the highway tunnel ‘Rudower Höhe’ in Berlin, Germany, we could build a simulated tunnel setup of our reactors within the tunnel. An estimate based on these simulations assumes a reduction potential of 25% of the NOx mass generated in the tunnel. In conclusion, actively vented TiO2 surfaces are controversial yet could achieve high removal rates while simple to clean or exchange.
“Building Your Neurology Acumen”: A Flipped Classroom Approach for Internal Medicine Residents
Authors: Zaeem Zoya , Smyth Penelope , King Sharla , Daniels Vijay J. 
Published: April 2022

ABSTRACT:Globally, internal medicine (IM) residents often feel they lack the knowledge and skills to approach patients presenting with neurologic issues. We conducted a multiple method needs assessment to determine the feasibility of a novel neurology flipped classroom (FC) curriculum for internal medicine residents. Our primary findings include participants: (1) finding neurology a useful rotation; (2) feeling uncomfortable with the neurological examination; and (3) endorsing flipped classroom as a potential alternative but with significant barriers. Our findings elucidate upon the various extrinsic/intrinsic motivators for resident education and illustrate the need to re-examine the way in which neurology is being taught to off-service residents.
Thermoacoustic stability prediction using classification algorithms
Authors: Gaudron Renaud , Morgans Aimee S. 
Published: April 2022

AbstractPredicting the occurrence of thermoacoustic instabilities is of major interest in a variety of engineering applications such as aircraft propulsion, power generation, and industrial heating. Predictive methodologies based on a physical approach have been developed in the past decades, but have a moderate-to-high computational cost when exploring a large number of designs. In this study, the stability prediction capabilities and computational cost of four well-established classification algorithms—theK-Nearest Neighbors, Decision Tree (DT), Random Forest (RF), and Multilayer Perceptron (MLP) algorithms—are investigated. These algorithms are trained using an in-house physics-based low-order network model tool called OSCILOS. All four algorithms are able to predict which configurations are thermoacoustically unstable with a very high accuracy and a very low runtime. Furthermore, the frequency intervals containing unstable modes for a given configuration are also accurately predicted using multilabel classification. The RF algorithm correctly predicts the overall stability and finds all frequency intervals containing unstable modes for 99.6 and 98.3% of all configurations, respectively, which makes it the most accurate algorithm when a large number of training examples is available. For smaller training sets, the MLP algorithm becomes the most accurate algorithm. The DT algorithm is found to be slightly less accurate, but can be trained extremely quickly and runs about a million times faster than a traditional physics-based low-order network model tool. These findings could be used to devise a new generation of combustor optimization tools that would run much faster than existing codes while retaining a similar accuracy.