bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Textbook Analysis as a Teacher Professional Development Tool on Teacher Understanding of Nature of Science
Authors: Chanetsa Tarisai , Ramnarain Umesh 
Published: May 2023

Abstract
This
article reports on the effect of textbook analysis as a tool of teacher professional development on nature of science (NOS) understanding of 10 science teachers in South Africa. The teacher professional development program (TPDP) was based on an explicit reflective methodology of textbook analysis and conducted online due to the Covid-induced lockdown. NOS understanding of the participant teachers was documented pre-training and post-training using a questionnaire designed by the researchers, termed the IFVNOS questionnaire. This tool was formulated based on the views of nature of science questionnaire version C (VNOSC) and the reconceptualised family resemblance approach (RFN) questionnaire. The same tool was used pre- and post-training. A comparison was made of the pre- and post-training results and it was found that there was a general individual increase in NOS understanding in 9 of the 10 teachers. The creative, scientific knowledge, science methods and ethical practices NOS aspects showed the greatest improvement in understanding by the teachers as a collective, whilst inferential NOS showed no overall change in understanding. This study showed that textbook analysis can be used as a professional development tool to improve NOS understanding of in-service science teachers.
Primary School Students’ Experiences using Minecraft Education during a National Project-Based Initiative: An Irish Study
Authors: Slattery Eadaoin J. , Butler Deirdre , O’Leary Michael , Marshall Kevin 
Published: May 2023

Abstract
Minecraft Education is a digital game-based learning platform that is thought to support the development of twenty-first century competencies and skills. The purpose of this study is to explore primary students’ experiences of using Minecraft Education during an innovative national project-based initiative. The initiative had two phases: 1) educational episodes for teachers and students on how to use the platform and 2) a national competition that required students to re-imagine a sustainable version of their community. We used a mixed-methods design with a sample of classes taking part in the initiative. First, third to sixth class students (N = 173) completed a survey that examined: 1) learning opportunities with Minecraft Education, 2) ease of use, 3) usefulness, and 4) enjoyment. Eight focus group interviews were then conducted with a subsample of sixth class students (n = 30). Students indicated that 1) there were good opportunities for learning with Minecraft Education, particularly for creativity and collaboration, 2) the platform was easy to use and useful and, 3) using Minecraft Education was enjoyable. Thematic analysis of the qualitative data identified five themes: ‘collaboration’, ‘opportunities for creativity’, ‘immersive learning environment’, ‘student engagement’, and ‘technology and digital skills’. This research highlights the value of innovative project-based learning activities with Minecraft Education for supporting student learning.
The role of occupational skill sets in the digital transformation: how IT progress shapes returns to specialization and social skills
Authors: Kiener Fabienne , Eggenberger Christian , Backes-Gellner Uschi 
Published: May 2023

AbstractWorkers’ occupational skill sets play a crucial role in successfully handling digital transformation. We investigate whether and how different types of occupational skill sets benefit from digital transformation. We theoretically and empirically analyze wage returns of workers in occupations with more or less specialized skill sets and with more or less social skills when IT increases in their industry. Applying natural language processing methods to the texts of occupational training curricula, we develop measures for occupational specialization and social skills. We use vocational education and training curricula from Switzerland because they cover approx. two-thirds of the working population. Using curricula, industry-level IT data and individual-level administrative wage data, our individual fixed-effects analyses show that IT progress leads to higher wage returns for workers in highly specialized occupations but not for workers in more general occupations. In addition, we find that high levels of social skills cannot make up for this difference when IT advances. However, our results indicate that for workers with high specialization, a combination with high social skills generates additional benefits when IT advances. Overall, our results suggest that, contrary to typical assumptions in educational policy debates, workers with specialized occupational skill sets—possibly in combination with high social skills—appear to be the ones who are particularly well prepared to cope with digital transformation.
Multi-material Joining of an Aluminum Alloy to Copper, Steel, and Titanium by Hybrid Metal Extrusion & Bonding
Authors: Bergh Tina , Fyhn Hursanay , Sandnes Lise , Blindheim Jørgen , Grong Øystein , Holmestad Randi , Berto Filippo , Vullum Per Erik 
Published: May 2023

AbstractHybrid metal extrusion & bonding (HYB) is a solid-state welding method where an aluminum (Al) filler wire is continuously extruded into the weld groove between the metal parts to be joined by the use of a rotating steel tool that provides friction and plastic deformation. Although the HYB method was originally invented for Al joining, the process has shown great potential also for multi-material joining. This potential is explored through characterization of a unique Al–copper–steel–titanium (Al–Cu–steel–Ti) butt joint made in one pass. Each of the three dissimilar metal interface regions are characterized in terms of microstructure and tensile properties. Scanning and transmission electron microscopy reveals that bonding is achieved through a combination of nanoscale intermetallic phase formation and microscale mechanical interlocking. Electron diffraction is used to identify the main intermetallic phases present in the interfacial layers. Machining of miniature specimens enables tensile testing of each interface region. Overall, the presented characterization demonstrates the great potential for multi-material joining by HYB and provides fundamental insight into solid-state welding involving bonding of Al to Ti, steel, and Cu.
Organic and Hybrid Diode Features of an n-Type 1,8-Naphthalimide Derivative
Authors: Kagatikar Sneha , Salunkhe Parashurama , Sunil Dhanya , Kekuda Dhananjaya 
Published: May 2023

AbstractOrganic–inorganic hybrid photodiodes have garnered research interest to achieve high-performance optoelectronic devices with longer lifetime. In the present study, a fluorescent 1,8-naphthalimide (NI) derivative BHSHNI was synthesized through bromination of 3-hydroxy naphthalic anhydride and subsequent imidation reaction with salicyloyl hydrazide. The IR, NMR and mass spectrometry studies confirmed the molecular structure of the NI derivative. Intramolecular charge transfer was confirmed using theoretical and fluorescence emission studies. Thermal investigations suggested good stability of BHSHNI and cyclic voltammetry indicated an electrochemical band gap of 1.10 eV. Surface uniformity and pit-free morphology was observed in SEM and AFM images of thin films formed by BHSHNI. The organic (PEDOT:PSS) and hybrid (organic–inorganic) p–n type diodes were successfully constructed using BHSHNI. The hybrid diode exhibited better features with ideality factors of 9.3 and 15.2 in dark and visible light, respectively, with a dielectric constant of 7.65 at 30 kHz. The calculated responsivity of the hybrid diode was found to be 66.26 $$\mu \mathrm{A}/\mathrm{W}$$

μ
A
/
W

. The device incorporating BHSHNI as functional material with NiO can be further explored for photodiode applications.
Graphical Abstract
Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
Authors: Crotty Erin E. , Wilson Ashley L. , Davidson Tom , Tahiri Sophia , Gust Juliane , Griesinger Andrea M. , Venkataraman Sujatha , Park Julie R. , Mueller Sabine , Rood Brian R. , Hwang Eugene I. , Wang Leo D. , Vitanza Nicholas A. 
Published: May 2023

Abstract

Purpose of Review
Correlative studies should leverage clinical trial frameworks to conduct biospecimen analyses that provide insight into the bioactivity of the intervention and facilitate iteration toward future trials that further improve patient outcomes. In pediatric cellular immunotherapy trials, correlative studies enable deeper understanding of T cell mobilization, durability of immune activation, patterns of toxicity, and early detection of treatment response. Here, we review the correlative science in adoptive cell therapy (ACT) for childhood central nervous system (CNS) tumors, with a focus on existing chimeric antigen receptor (CAR) and T cell receptor (TCR)-expressing T cell therapies.

Recent Findings
We highlight long-standing and more recently understood challenges for effective alignment of correlative data and offer practical considerations for current and future approaches to multi-omic analysis of serial tumor, serum, and cerebrospinal fluid (CSF) biospecimens. We highlight the preliminary success in collecting serial cytokine and proteomics from patients with CNS tumors on ACT clinical trials.
Sex-Based Contributors to and Consequences of Post-traumatic Stress Disorder
Authors: Hiscox Lucy V. , Sharp Tamsin H. , Olff Miranda , Seedat Soraya , Halligan Sarah L. 
Published: May 2023

Abstract
Purpose of Review
Women are twice as likely to develop post-traumatic stress disorder (PTSD) compared to men after a traumatic experience. The purpose of this mini review was to explore recent research on biological contributors to this sex difference.

Recent Findings
We identified 51 studies published since 2019. Studies found that beyond the influence of sex on the prevalence and symptoms of PTSD, there is evidence for and against sex-based differences in genetic and epigenetic factors (n = 8), brain structure and function (n = 11), neuroendocrine and inflammatory responses (n = 5), and in the role of sleep on emotional memory processing (n = 1). Sex differences were also observed in recovery and during PTSD treatment (n = 16). Finally, there is emerging evidence of sex-differentiated risk for medical and psychiatric comorbidities in PTSD (n = 10).

Summary
Rapid advances are being made using integrated multidisciplinary approaches to understand why females are at a heightened risk for developing PTSD.
The effect of non-linear competitive interactions on quantifying niche and fitness differences
Authors: Spaak Jurg W. , Millet Remi , Ke Po-Ju , Letten Andrew D. , De Laender Frederik 
Published: May 2023

AbstractThe niche and fitness differences of modern coexistence theory separate mechanisms into stabilizing and equalizing components. Although this decomposition can help us predict and understand species coexistence, the extent to which mechanistic inference is sensitive to the method used to partition niche and fitness differences remains unclear. We apply two alternative methods to assess niche and fitness differences to four well-known community models. We show that because standard methods based on linear approximations do not capture the full community dynamics, they can sometimes lead to incorrect predictions of coexistence and misleading interpretations of stabilizing and equalizing mechanisms. Specifically, they fail when both species occupy the same niche or in the presence of positive frequency dependence. Conversely, a more recently developed method to decompose niche and fitness differences, which accounts for the full non-linear dynamics of competition, consistently identifies the correct contribution of stabilizing and equalizing components. This approach further reveals that when the true complexity of the system is taken into account, essentially all mechanisms comprise both stabilizing and equalizing components and that local maxima and minima of stabilizing and equalizing mechanisms exist. Amidst growing interest in the role of non-additive and higher order interactions in regulating species coexistence, we propose that the effective decomposition of niche and fitness differences will become increasingly reliant on methods that account for the inherent non-linearity of community dynamics.
Psychological Outcomes and Mechanisms of Mindfulness-Based Training for Generalised Anxiety Disorder: A Systematic Review and Meta-Analysis
Authors: Williams Monique , Honan Cynthia , Skromanis Sarah , Sanderson Ben , Matthews Allison J. 
Published: May 2023

AbstractThis systematic review aimed to identify 1) the effect of mindfulness training on pre-post measures of anxiety and attention among adults experiencing high levels of generalised anxiety; and 2) the impact of predictors, mediators and moderators on post-intervention changes in anxiety or attention. Trait mindfulness and distress measures were included as secondary outcomes. A systematic search was conducted in November 2021 in electronic databases using relevant search terms. Eight articles comprising four independent studies were included (N = 334). All studies included participants diagnosed with generalised anxiety disorder (GAD) who participated in an 8-week manualised program. The meta-analysis indicated that mindfulness training had a large effect on anxiety symptoms (g = -1.92, 95%CI[-3.44, -0.40]) when compared to inactive (i.e., care as usual, waitlist) or non-specified (i.e., condition not defined) controls. However, a significant effect was not found when compared to active controls. Effects for depression, worry and trait mindfulness did not reach statistical significance, despite small-large effect sizes favouring mindfulness compared to inactive/non-specified controls. Our narrative review found evidence that changes in aspects of trait mindfulness mediate anxiety reduction following mindfulness training. However, a small number of studies were available for inclusion in the review, with high risk of bias and low certainty of evidence present. Overall, the findings support the use of mindfulness training programs for GAD and indicate mechanisms that may differ from those involved in other cognitive therapy approaches. Further RCTs with evidence-based controls are needed to clarify techniques most beneficial for generalised anxiety to support individually tailored treatment.
Pressurised Anaerobic Digestion for Reducing the Costs of Biogas Upgrading
Authors: Liang Z. , Wilkinson D. W. , Wang C. , Wilkinson S. J. 
Published: May 2023

Abstract
The overall purpose of this study is to investigate the potential for producing higher energy biogas at elevated fermentation pressures. Upgrading of biogas is often carried out to increase its methane (energy) content by removing carbon dioxide. Upgrading is used, for example, to give methane of sufficient purity that it can be injected directly into the gas supply grid. In this research, freshwater algae are used as the feedstock for anaerobic digestion (AD) to produce biogas as a source of renewable energy. Although this has been the subject of extensive research over the past few decades, the main reason why AD has not been more widely commercialised is because it can have poor economic viability. In this paper, we used two similar bioreactors of capacity 1.5 L to generate biogas at different pressures. The methane concentration of the biogas increases to at least 70.0% for a headspace pressure greater than 4 bara compared to 57.5% or less when the pressure is less than 1.6 bara. The higher pressure operation therefore reduces the amount of upgrading required leading to a reduction in the cost of this step. Another interesting finding of this study is that the solubility of biogas in the digestate is estimated to be only 3.7% (best fit value) of its solubility in pure water, which is much lower than the values previously reported in the literature.
Staging Accuracy and Lymph Node Involvement in Superficial Adenocarcinoma and Squamous Cell Carcinoma of the Esophagus—a Multicenter Case Series Analysis
Authors: Egeland Charlotte , Grundahl Anne Sofie , Hübner Cecilie , Kjaer Daniel , Dikinis Sarunas , Grossjohann Hanne , Achiam Michael Patrick 
Published: May 2023

AbstractAt an early stage, esophageal cancer can be removed surgically or endoscopically. T1a tumors are removed by endoscopic resection, whereas T1b tumors are preferably surgically removed (esophagectomy) due to possible lymph node involvement. However, the diagnostic tools (endoscopic ultrasonography (EUS) and CT/PET-CT) used to distinguish between T1a and T1b tumors and to detect malignant lymph nodes are imprecise. This study aimed to review the accuracy of preoperative locoregional staging in superficial esophageal cancer in a Danish setting. This was a retrospective, multicenter study including patients with a cT1 esophageal tumor, both adenocarcinoma and squamous cell carcinoma. Patients receiving neoadjuvant treatment were excluded. Results from the preoperative diagnostics tools were compared with the pathology report to determine the diagnostic accuracy. Sixty-eight patients were included, 34 patients underwent esophagectomy, and 34 patients underwent endoscopic resection. The positive predictive value (PPV) of PET-CT (or CT) (when staged as a T1 tumor) was 77% (95%CI: 0.59–0.88), and the PPV of EUS (when staged as a T1a or T1b tumor) was 52% (95%CI: 0.32–0.72) and 60% (95%CI: 0.36–0.82), respectively. Six patients had malignant lymph nodes in the surgical specimen; none of them was identified before surgery. In conclusion, neither CT/PET-CT nor EUS is a precise tool to distinguish mucosal from submucosal esophageal tumors. Furthermore, in superficial malignant lesions, lymph node involvement is rare, but when present, it is rarely detected before surgery. To improve staging accuracy, all patients with cT1 tumors could be referred for a diagnostic endoscopic resection prior to possible other treatments.
A Rose by any Other Name? Using Core Components to Categorize Social and Emotional Learning Provision
Authors: Wigelsworth Michael , Mason Carla , Verity Lily , Humphrey Neil , Qualter Pamela 
Published: May 2023

AbstractAlthough social and emotional learning (SEL) benefits children and youth worldwide, classifying a program as SEL is insufficient to capture its variability of content. There is currently little to aid in identifying specific program content so that foci may be identified (e.g., self-management skills vs. social skills). This gap poses a difficulty for researchers attempting to address heterogeneity in SEL research and practitioners who want to select programs best suited for their contexts. This paper begins to address these concerns by extracting and contrasting ‘core components’ of interventions within an identified shortlist of 13 universal, elementary evidence-based programs through a distillation method using the often cited ‘five core competency’ model from CASEL (Collaborative for Academic, Social, and Emotional Learning). Results showed that CASEL’s core competencies are represented across short-listed programs. However, almost all programs had identifiable foci, targeting a subset of skills. Accordingly, the use of ‘core components’ is recommended as a method for offering more nuance in SEL classification for programs beyond the current study, with implications for program implementation and the design of future research in SEL evaluation.
The association of food ingredients in breakfast cereal products and fumonisins production: risks identification and predictions
Authors: Purchase Jan , Donato Rosa , Sacco Cristiana , Pettini Lilia , Rookmin Anubha Devi , Melani Simone , Artese Alice , Purchase Diane , Marvasi Massimiliano 
Published: May 2023

AbstractBreakfast processed products are remarkably at risk of fungal contamination. This research surveyed the fumonisins concentration in different breakfast products and carried out in vitro experiments measuring fumonisins content in different substrates inoculated with Fusarium verticillioides. The pipeline started with the identification of combinations of ingredients for 58 breakfast products. Twenty-three core ingredients, seven nutritional components and production types were analyzed using a Pearson correlation, k-means clustering, and principal component analysis to show that no single factor is responsible for high fumonisins detection in processed cereals products. Consequently, decision tree regression was used as a means of determining and visualizing complex logical interactions between the same factors. We clustered the association of ingredients in low, medium, and high risk of fumonisin detection. The analysis showed that high fumonisins concentration is associated with those products that have high maize concentrations coupled especially with high sodium or rice. In an in vitro experiment, different media were prepared by mixing the ingredients in the proportion found in the first survey and by measuring fumonisins production by Fusarium verticillioides. Results showed that (1) fumonisins production by F. verticillioides is boosted by the synergistic effect of maize and highly ready carbohydrate content such as white flour; (2) a combination of maize > 26% (w/w), rice > 2.5% (w/w), and NaCl > 2.2% (w/w) led to high fumonisins production, while mono-ingredient products were more protective against fumonisins production. The observations in the in vitro experiments appeared to align with the decision tree model that an increase in ingredient complexity can lead to fumonisins production by Fusarium. However, more research is urgently needed to develop the area of predictive mycology based on the association of processing, ingredients, fungal development, and mycotoxins production.
Predicting Erosion Potential Zones using CA-ANN and Multicriteria Analysis for the Bhavani Watershed, India
Authors: Manikandan K. , Rangarajan Sathyanathan 
Published: May 2023

Abstract
Watershed prioritization has gained importance for locating critical areas of erosion and for taking up proactive steps in watershed management. The present study attempts to forecast land use/land cover change and prioritize the sub-watersheds of Bhavani watershed, Tamil Nadu based on morphometric, land use/ land cover and slope coupled with the multicriteria analytical (MCA) framework using remote sensing and GIS. The land use/ land cover is predicted for 2030 using an artificial neural networkbased cellular automata simulation model, and the sub-watersheds sensitive to erosion were identified and compared for the years 2020 and 2030. Parameters having direct and inverse effects on erosion risk were used as the criteria in the ranking process. Using geospatial data and GIS, a set of eleven morphometric parameters, eight LULC classes, and five slope classes was analysed using a compound value weight calculator for the 26 sub-watersheds. The study demonstrates significant land use changes on cropland, built-up land, wasteland, fallow land and forest land between 2020 and 2030. The entire watershed was divided into four zones based on the prioritization approach and were categorized into very high, high, medium, and low priority zones. The results showed that SW-19, SW-22 and SW-26 were categorized under very high priority zones for the years 2020 and 2030. Besides, the SW-07 was added under very high priority zone for the year 2030.