bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the adoption of concept-based curricula: insights from educators and implications for change
Authors: Tweedie Judith , Pelly Fiona , Wright Hattie , Palermo Claire 
Published: June 2024

AbstractConcept-based approaches to curriculum design have been proposed to solve content and curricula overload and promote conceptual learning. Few health professions have adopted this approach and little is known about how to support this educational change. We aimed to understand how nutrition and dietetics educators may navigate proposed education change towards concept-based curricula. We employed an interpretivist approach and in-depth interviews that explored the views of nutrition and dietetic educators towards using a concept-based approach to curriculum. Employing deductive thematic analysis based on the diffusion of innovation theory, data from twenty experienced dietetics educators were analysed. Three main themes were identified; the need for change champions, concerns about change, and the complexity of the education system. Diffusion of innovation theory highlighted that to enact change, the relative advantage and compatibility of the approach with current structures and systems, with evidence from trialling and observing the new approach in action, were needed. Developing education leaders and infiltrating the social system of education through existing communities of practice is critical to enacting educational change.
An integrated group decision-making framework for assessing S3PRLPs based on MULTIMOORA-WASPAS with q-rung orthopair fuzzy information
Authors: Rong Yuan , Yu Liying , Liu Yi , Peng Xingdong , Garg Harish 
Published: June 2024

AbstractSustainable third-party reverse logistics has gradually risen to prominence as a component of contemporary commercial development as a result of the acceleration of global economic integration and the prominent growth of information technology in the logistics industry. In the procedure of sustainable third-party reverse logistics providers (S3PRLPs) selection, indeterminacy and conflict information bring great challenges to decision experts. In view of the significant superiority of q-rung orthopair fuzzy (q-ROF) set in expressing uncertain and vague assessment information, this essay designs a comprehensive assessment framework through merging the best and worst method (BWM), Multiplicative Multi-objective Optimization by Ratio Analysis with Full Multiplicative Form (MULTIMOORA) and weighted aggregated sum product assessment (WASPAS) method to address the S3PRLPs selection issue with entirely unknown weight information under q-ROF setting. Firstly, we present a novel score function for comparing q-ROF numbers after analyzing the inadequacies of previous works. Secondly, the q-ROF Frank interactive weighted average (q-ROFFIWA) and q-ROF Frank interactive weighted geometric (q-ROFFIWG) operators are advanced based on the constructed operations to take into consideration the interactive impact of information fusion procedure. Thirdly, the q-ROF-MULTIMOORA-WASPAS decision framework is built based on novel score function and the developed operators, in which the synthetic weights of the criterion are determined by the modified BWM and entropy weight method to reflect both the subjectivity of the decision expert and the objectivity of the decision information. Ultimately, an empirical example was used to evaluate S3PRLPs to demonstrate the applicability and feasibility of the developed methodology, and a comparative analysis was conducted with other existing methods to highlight its advantages in dealing with complex decision problems. The discussion from the research indicates that the developed methodology can be used to evaluate S3PRLPs and further improve the quality of logistics services for organizations.
A universal formula for derivation operators and applications
Authors: Suárez de la Fuente J. 
Published: June 2024

AbstractWe give a universal formula describing derivation operators on a
Hilbert space for a large class of interpolation methods. It is based on a simple new technique on
“critical points” where all the derivations attain the maximum. We deduce from this a version of Kalton uniqueness theorem for such methods, in
particular, for the real method. As an application of our ideas is the construction of a weak Hilbert space induced by the real J-method. Previously,
such space was only known arising from the complex method. To complete the picture, we show, using a breakthrough of Johnson and Szankowski, nontrivial
derivations whose values on the critical points grow to infinity as slowly as we wish.
A Systematic Review of Gender Dysphoria Measures in Autistic Samples
Authors: Mears Karl , Rai Dheeraj , Shah Punit , Cooper Kate , Ashwin Chris 
Published: June 2024

AbstractThis systematic review investigated how studies have measured gender dysphoria (GD) in autistic samples and the impact of using different measures on study results. The literature search identified 339 relevant papers, with 12 of them meeting the inclusion criteria. Results showed that seven different measures of GD characteristics have been used with autistic samples and that the studies consistently reported a greater number of GD characteristics and a greater severity of GD in autistic compared to non-autistic samples. Methodological common practices were found in recruiting participants from clinical settings rather than the general population, having more autistic males than females in the samples, for studies being conducted in Europe, North America, and Oceania, and using single-item measures of GD for samples of autistic children. Issues were identified with study designs and measures of GD, suggesting a need for a more standardized multi-item self-report measure of GD for use in clinical and non-clinical samples across different ages and cultures.
Transformers and meta-tokenization in sentiment analysis for software engineering
Authors: Cassee Nathan , Agaronian Andrei , Constantinou Eleni , Novielli Nicole , Serebrenik Alexander 
Published: June 2024

AbstractSentiment analysis has been used to study aspects of software engineering, such as issue resolution, toxicity, and self-admitted technical debt. To address the peculiarities of software engineering texts, sentiment analysis tools often consider the specific technical lingo practitioners use. To further improve the application of sentiment analysis, there have been two recommendations: Using pre-trained transformer models to classify sentiment and replacing non-natural language elements with meta-tokens. In this work, we benchmark five different sentiment analysis tools (two pre-trained transformer models and three machine learning tools) on 2 gold-standard sentiment analysis datasets. We find that pre-trained transformers outperform the best machine learning tool on only one of the two datasets, and that even on that dataset the performance difference is a few percentage points. Therefore, we recommend that software engineering researchers should not just consider predictive performance when selecting a sentiment analysis tool because the best-performing sentiment analysis tools perform very similarly to each other (within 4 percentage points). Meanwhile, we find that meta-tokenization does not improve the predictive performance of sentiment analysis tools. Both of our findings can be used by software engineering researchers who seek to apply sentiment analysis tools to software engineering data.
Ablation Resistance of ZrB2-SiC-Si Composite Coatings Applied on Graphite Substrate by Spark Plasma Sintering
Authors: Jaberi Zamharir Mehran , Shahedi Asl Mehdi , Zakeri Mohammad , Jahangiri Zahra 
Published: June 2024

AbstractIn this research, a protective composite coating made of ultra-high-temperature ceramics (UHTCs) was applied on the graphite substrate to boost the ablation resistance of the graphite substrate. Spark plasma sintering (SPS) was used to create such coatings on the graphite substrates. Efforts were made to identify the appropriate chemical composition for the composite coating and the conditions for the SPS (temperature, pressure and holding time). The coatings with a base composition of ZrB2-15 vol.% Si-15 vol.% SiC as well as MoSi2 and WC additives in the same amounts of 0 vol.%, 2.5 vol.% and 5 vol.% of each were applied on the graphite substrates under sintering conditions of final temperature of 1875 ± 25°C, initial pressure of 10 MPa, final load of 25 MPa and holding time of 5 min. The results obtained from the ablation test by oxyacetylene flame verified that the presence of the protective composite coating significantly increases the ablation performance of the graphite substrate. The sample without WC and MoSi2 additives had the lowest mass reduction in longer ablation times, which indicates the high ablation resistance of the base sample compared to the samples with those additives.
Family Climate, Perception of Academic Achievements, Peer Engagement in Cyberbullying, and Cyber Roles among Adolescents
Authors: Sasson Hagit , Tur-Sinai Aviad , Dvir Keren 
Published: June 2024

AbstractCyberbullying is a disturbing form of behavior associated with the use of communication technologies among adolescents. Many studies have been devoted to cyberbullies and cyber victims, neglecting an important growing group: cyberbullies who are also cyber victims. Moreover, few studies refer to all cyberbullying roles and factors associated with them. Therefore, the goal of this study is to examine differences in family climate, peers’ engagement in cyberbullying, and perception of academic achievements among involvements in cyberbullying roles. Data are collected by telephone or face-to-face from a sample of 277 eleventh- to twelfth-grade students in Israel who are asked to participate in the survey. Cyberbullying roles are composed of two variables—cyberbullies and cyber victims, creating four groups: cyberbullies, cyber victims, cyberbullies-and-victims, and non-involved. Three types of family climate are measured: warmth, order and supervision, and conflict. Respondents report their perceptions of peers’ engagement in cyberbullying. At the personal level, gender, perception of academic achievements, and school absence are measured. Multinomial logistic regression findings show that boys are more likely to be cyberbullies and cyberbullies-victims than are girls; family conflicts increase the odds of being cyberbullies and cyber victims; and family warmth decreases the odds of being cyber victims and cyberbullies-cyber victims. Perception of peers’ engagement in cyberbullying increases the odds of being cyberbullies and cyberbullies-victims. Perception of academic achievements and school absence have opposite effects on cyber victims, the former increasing the odds of being cyber victims and the latter decreasing them. The results emphasize the role of family and peers in adolescents’ cyber behavior. Limitations and conclusions are discussed.
Platelet lysate for the treatment of osteoarthritis: a systematic review of preclinical and clinical studies
Authors: Valtetsiotis K. , Di Martino A. , Brunello M. , D’Agostino C. , Poluzzi R. , Ferri R. , Mora P. , Traina F. , Faldini C. 
Published: June 2024

AbstractIntra-articular injection-based therapy is often used aside conservative treatment and lifestyle modifications to manage knee osteoarthritis (KO) patients. Conventional injections contain steroids and hyaluronic acid, while more recently multipotential adult stem cell, platelet-rich plasma (PRP), and platelet lysate (PL) injections have been used to promote cartilage regeneration or repair. The aim of the current study is to analyse current evidence on PL injections for the treatment of KO and to determine if these are effective and how these perform compared to other injection regimens. The databases of Scopus, Embase, PubMed, Web of Science, and Cochrane Library were searched on 30 June 2023. Risk of bias was assessed using the SYRCLE tool for animal studies and Cochrane RoB 2 as well as ROBINS-I tool for human studies. Studies were included if these were in English, any year, and regarded animals with osteoarthritis (OA) or human adult patients with OA. In vitro trials and non-adult human studies were excluded. Results on OA symptom stage and severity, and pain were recorded. The research retrieved three human studies (n = 48, n = 25, n = 58) and four animal studies: one rabbit, two studies, and one rat study. PL was found to decrease KO symptoms at follow-up ≤ 1 year with respect to baseline levels and when compared to hyaluronic acid or platelet-rich plasma. Symptoms returned 6 months–1 year after the final administration, with studies showing peak efficacy at approximately 6 months. Animal studies showed clinical improvements, reduction of lameness, and partial effect on the cartilage regeneration of the seven studies, two had a high risk of bias, four were associated to some concerns, and one had low risk. A major source of bias in these studies was the use of questionnaires and scoring that could be subject to interpretation. Overall, PL was well-tolerated and showed efficacy comparable to PRP; when pain control was assessed, it showed similar efficacy compared to hyaluronic acid. These findings may support its use in clinical trials to confirm these initial findings; future research should also focus on the comparison with other non-surgical treatments, on a more detail of the potential regenerative properties, and to optimise the treatment schedule.
Effects on the design of aeronautical fuel cell systems by inclusion of reliability requirements
Authors: Schorr Markus , Voth Viola , Gentner Christoph 
Published: June 2024

AbstractThe change towards carbon neutrality in air traffic involves a huge reduction of greenhouse gas emissions. This goal is beyond reach by the step wise improvement of conventional technologies. Hence, at present a solution which gains much of attraction are electric motors and electric aircraft systems in combination with fuel cells which can be run by green hydrogen. For a holistic comparison of various concepts the consideration of reliability aspects is required even at an early stage of design. In the scope of this work methods from reliability and safety engineering will be introduced and set in context of aeronautical fuel cell systems. On that basis the consequences arising by the requirement of redundancy are investigated on a system level approach. For this purpose, a model of an aeronautical fuel cell system will be set up in order to simulate a generic flight envelope at stationary points. The fuel cell system is chosen to be central-monolithic and its components are sized for the propulsion of a regional aircraft. With the aid of the system simulation, various failure scenarios are investigated from which mitigation strategies can be derived. Finally, the baseline design will be improved in terms of redundancy in order to last in a generic failure scenario. A comparison between the baseline and improved design shows that the additional redundancy comes with the cost of 4.6% weight increase and a 2.5% drop in cruise efficiency.
Hemodialysis water reuse within a circular economy approach. What can we add to current knowledge? A point of view
Authors: Tarrass Faissal , Benjelloun Meryem , Piccoli Giorgina Barbara 
Published: June 2024

AbstractThe ongoing climate change and the ecological challenges call for sustainable medicine and, in our field, sustainable kidney care. Dialysis is life-saving and resource-consuming, and high water consumption is one of the main concerns. Circular water economy, meaning reuse and recycling of water, and recovering resources can help reducing emissions and enhancing resilience to climate change. Several actions are possible including reusing reverse osmosis reject water, employable for gardening, aquaponics or even simply for toilet flushing, or in sterilization settings, reusing spent dialysate, at least for toilet flushing, but with wider use if microbiologically purified, recovering thermal energy from spent dialysate, that can probably be done with simple devices, or using phosphate-rich spent dialysate for producing fertilizers, namely struvite. All these options may be economically sound, and all help reducing the final dialysis carbon footprint. There is room for open-minded innovative approaches to improve water-related sustainability in hemodialysis, ultimately reducing ecological impact and increasing availability.
Graphical abstract
An Exact Solution to the Inverse Problem of Steady Free-Surface Flow over Topography
Authors: Blyth M. G. 
Published: June 2024

AbstractA simple exact solution is presented to the inverse problem in steady, two-dimensional idealised flow over topography that seeks the bottom profile given knowledge of the free-surface data. Attention is focused on the case when a uniform stream flows over a localised obstacle, although the solution is not restricted to this case. The inverse problem is formulated as a Stieltjes integral equation which is solved exactly using a Fourier transform. The solution requires the analytic continuation of two real functions representing the surface speed and the angle between the surface velocity vector and the horizontal. Some example surface profiles and their corresponding bottom topographies are discussed. Although the solution requires the prescription of the surface as a function of the velocity potential, it is shown to closely resemble the corresponding profile in physical space, even for quite large surface displacements, while significant discrepancy occurs at the bottom. Inference of the bottom profile from discrete surface data is accomplished by way of polynomial interpolation and rational approximation in the complex plane for the sample case of a hydraulic fall.
Compressed development, decompression, and diverging convergence in South Korea: which varieties of capitalism in contemporary Korea?
Authors: Lee Keun , Kim Djun Kil 
Published: June 2024

AbstractSouth Korea has achieved compressed growth and convergence of its income level to that of typical advanced economies. This paper adopts a narrow definition of compressed development as a form of late development that lacks political democracy and open markets, and then defines decompression as the process of democratization and economic liberalization. This paper applies this framework of “compressed development, decompression, and diverging convergence” to analyze the dynamics of Korean capitalism since the 1980s after the death of the modernizer-dictator, President Park. First, the middle class emerged in Korea in the 1980s as a result of compressed growth since the 1960s and served as a key intermediary in linking economic growth to democratization. The process of political decompression, or democratization, was peaceful because it was demanded and led not by the working class but by the middle class. Second, an ill-managed first wave of economic decompression (liberalization) led to a financial crisis, and then, the post-crisis reforms (the second, more radical decompression) imposed by the IMF planted the institutional seeds for convergence with Anglo-American capitalism. Third, Korea is experiencing the end of the East Asian miracle, as evidenced by slowing growth and rising inequality, and is undergoing a multifaceted convergence toward different varieties of capitalism. In terms of life expectancy and crime rates, Korea joins Japan, Italy, and Spain in the “safe capitalism” group, while it is an extreme outlier in terms of its large gender wage gap and long working hours. In terms of unemployment and long-term employment rates, Korea is closer to the Anglo-American model, but closer to Europe in terms of the degree of active (or passive) labor market policies and legal protection against layoffs. Korea seems to be realizing “divergent convergence” as it remains distinct from any particular form of Western capitalism.
Lessons from Developing a Rubric for Evaluating Need Statements on Health Technology Innovation Projects
Authors: Denend Lyn , Venook Ross , Pamnani Ravinder D. , Sheth Kunj , Towles Joseph 
Published: June 2024

AbstractIn design-oriented biomedical engineering courses, some instructors teach need-driven methods for health technology innovation that use a “need statement” to reflect a student team’s hypothesis about the most fruitful direction for their project. While need statements are of the utmost importance to the projects, we were not aware of any comprehensive rubric for helping instructors evaluate them. Leveraging resources such as the Biodesign textbook along with input from faculty teaching health technology design at our university, we created a rubric for evaluating the construction of need statements. We then introduced the rubric to undergraduate students in a 3-week intersession course in fall 2023. Afterward, we used the rubric to compare the de-identified final need statements from 2023 to the de-identified final need statements from students in the course in 2022 and 2021. Our assumption that need statements from 2023 would score better against the rubric than those from previous years proved not to be the case. However, we gleaned valuable lessons about the role of rubrics in supporting student learning and increasing alignment among faculty, as well as insights about rubric development and areas for future study. In this article, we also share the initial version of the rubric so that other instructors can adapt and improve upon it for their own courses.
Utilizing Repetitive Sampling in the Construction of a Control Chart for Lindley Distribution with Time Truncation
Authors: Sriramachandran G. V. , Gadde Srinivasa Rao , Aslam Muhammad 
Published: June 2024

AbstractThe monitoring of the process relies on the average product lifetime, which adheres to the Lindley distribution and employs a truncated life test-based attribute control chart. Control limits for these charts are determined through a repetitive sampling procedure. Two inner and outer control limits are established based on the desired average run length (ARL). Tables are generated for varying ARL values by adjusting shift values while keeping the shape parameter of the Lindley distribution constant. The effectiveness of the control charts is assessed through application to real-time data, and the performance of the proposed chart is evaluated using simulation data. A comparative analysis is conducted with single sampling scheme based on ARL values, and the results are presented and discussed.