bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybridity in Nonprofit Organizations: Organizational Perspectives on Combining Multiple Logics
Authors: Malhotra Aastha , Wright April L. , Jarvis Lee C. 
Published: May 2024

Abstract
Seeking to better understand how nonprofit organizations (NPOs) manage hybridity, we investigated what distinguishes NPOs that combine multiple logics in productive and unproductive ways. We collected and analyzed data from six case studies of NPOs delivering social services in Australia. Our findings reveal that organizational members of NPOs take a perspective on their hybrid nature which comprises four elements: motivational framing, actor engagement, resourcing attitude, and governance orientation. NPOs that combine multiple logics in productive and unproductive ways, respectively, are distinguished by (1) a compelling or confused motivational framing for combining logics; (2) actors having active and shared, or passive and isolated, engagement with multiple logics; (3) attitudes toward resourcing multiple logics that are either coherent or competitive; and (4) a governance orientation toward multiple logics as opportunities to leverage or problems to resist. Our findings contribute to the literature by deepening understanding of the interplay between complex constellations of multiple logics in NPOs, including religious and professional logics. We also develop a model of organizational perspectives on hybridity and their implications for distinguishing NPOs that productively harness tensions between logics.
Classification of reflective writing: A comparative analysis with shallow machine learning and pre-trained language models
Authors: Zhang Chengming , Hofmann Florian , Plößl Lea , Gläser-Zikuda Michaela 
Published: May 2024

AbstractReflective practice holds critical importance, for example, in higher education and teacher education, yet promoting students’ reflective skills has been a persistent challenge. The emergence of revolutionary artificial intelligence technologies, notably in machine learning and large language models, heralds potential breakthroughs in this domain. The current research on analyzing reflective writing hinges on sentence-level classification. Such an approach, however, may fall short of providing a holistic grasp of written reflection. Therefore, this study employs shallow machine learning algorithms and pre-trained language models, namely BERT, RoBERTa, BigBird, and Longformer, with the intention of enhancing the document-level classification accuracy of reflective writings. A dataset of 1,043 reflective writings was collected in a teacher education program at a German university (M = 251.38 words, SD = 143.08 words). Our findings indicated that BigBird and Longformer models significantly outperformed BERT and RoBERTa, achieving classification accuracies of 76.26% and 77.22%, respectively, with less than 60% accuracy observed in shallow machine learning models. The outcomes of this study contribute to refining document-level classification of reflective writings and have implications for augmenting automated feedback mechanisms in teacher education.
Investigation of natural and artificial radioactivity levels in travertines of the Cappadocia region in Turkey
Authors: Kamislioglu M. , Kocak I. , Buyuk B. , Eke C. , Ozaydin Ozkara R. , Temiz U. 
Published: May 2024

AbstractThis study determined natural and artificial radionuclide concentrations to evaluate natural radioactivity and health risk levels of nine travertines in the Yaprakhisar and Balkayası regions in Turkey. The samples coded B1-M, B2, B5, B7, B8, and B10 represent waste derived from the Yaprakhisar travertines, as well as samples T5-M, T12, and Z1 travertines derived from Balkayası. The levels of natural and artificial radionuclide concentrations (232Th, 40K, and 137Cs) were measured using a high-purity germanium (HpGe) detector system. The travertine activity ranged from 2.09 to 12.07 Bq kg−1 for 232Th, 4.21 to 13.41 Bq kg−1 for 40K, and 0.42–3.26 Bq kg−1 for 137Cs. The results showed that the activity concentration values for 232Th, 40K, and 137Cs were coherent with the travertine analysis results in the UNSCEAR, 2000; 2008 publications. The values obtained were lower than the average values in the UNSEAR reports. The radiological hazard parameters calculated in this study were absorbed gamma dose rate (D), radium equivalent activity (Raeq), annual gonadal dose equivalent (AGDE), exposure dose (ER), total annual effective dose (AEDEtotal), excess lifetime cancer risk (ELCRtotal), gamma representative level (GRL), internal hazard index (Hin) and external hazard index (Hex).
Environmental policy stringency and carbon leakages: a case for carbon border adjustment mechanism in the European Union
Authors: Olasehinde-Williams Godwin , Akadiri Seyi Saint 
Published: May 2024

AbstractThis study examines the link between the strictness of environmental policies and carbon leakage in the European Union (EU). It utilizes an econometric model to analyse how carbon leakage is influenced by environmental policies and other factors. A comprehensive dataset spanning from 1995 to 2020 for 20 EU member nations is employed. This study is ground-breaking, as it is the first to comprehensively assess the effect of aggregated environmental policies on carbon leakages in the EU. This study employs a range of econometric techniques to ensure the reliability of its findings, including the continuously updated fully modified approach, bias-adjusted ordinary least squares method, and bootstrap panel causality testing. The findings confirm that stringent environmental policies cause greater carbon leakage by increasing the quantity of foreign carbon emissions embodied in EU’s domestic final demand. Specifically, carbon leakage increases within the range 0.051–0.111% as environmental policy stringency rises by 1%. This outcome confirms that direct carbon leakage occurs through the international trade channel as domestic carbon emissions reduction is continuously being offset by greater emissions abroad. Country-specific reactions captured through causality tests further reveal that the predictive powers between environmental policy stringency and carbon leakage is widespread among the sampled EU countries. Thus, our conclusion is that stringent environmental policies put the region at a disadvantage in the international markets. The main recommendation therefore is that ample justification exists for the introduction of carbon border adjustment mechanism, as the positives associated with its imposition are likely to outweigh the negatives.
Integrating national accounting and macroeconomic approaches to estimate the underground, informal, and illegal economy in European countries
Authors: Dell’Anno Roberto 
Published: May 2024

AbstractThis article proposes a hybrid national accounts (NA)-macroeconometric approach to fill the gap between the demand for reliable and internationally comparable estimates and the sparse availability of official statistics based on the NA approach. The proposed method combines data from Eurostat’s Tabular approach for the exhaustiveness of NA with estimates based on theoretical hypotheses on the drivers of non-observed production. We estimate underground, informal, and illegal economies for 22 European countries over the period 2000–2020.
BBD: a new hybrid method for geospatial building boundary detection from huge size satellite imagery
Authors: Tasyurek Murat 
Published: May 2024

AbstractBuildings that are constructed without the necessary permits and building inspections affect many areas, including safety, health, the environment, social order, and the economy. For this reason, it is essential to determine the number of buildings and their boundaries. Determining the boundaries of a building based solely on its location in the world is a challenging task. In the context of this research, a new approach, BBD, is proposed to detect architectural objects from large-scale satellite imagery, which is an application of remote sensing, together with the geolocations of buildings and their boundaries on the Earth. In the proposed BBD method, open-source GeoServer and TileCache software process huge volumes of satellite imagery that cannot be analyzed with classical data processing techniques using deep learning models. In the proposed BBD method, YOLOv5, DETR, and YOLO-NAS models were used for building detection. SAM was used for the segmentation process in the BBD technique. In addition, the performance of the RefineNet model was investigated, as it performs direct building segmentation, unlike the aforementioned methods. The YOLOV5, DETR and YOLO-NAS models in BBD for building detection obtained an f1 score of 0.744, 0.615, and 0.869 respectively on the images generated by the classic TileCache. However, the RefineNet model, which uses the data generated by the classic TileCache, achieved an f1 score of 0.826 in the building segmentation process. Since the images produced by the classic TileCache are divided into too many parts, the buildings cannot be found as a whole in the images. To overcome these problems, a fine-tuning based optimization was performed. Thanks to the proposed fine-tuning, the modified YOLOv5, DETR, YOLO-NAS, and RefineNet models achieved F1 scores of 0.883, 0.772, 0.975 and 0.932, respectively. In the proposed BBD approach, the modified YOLO-NAS approach was the approach that detected the highest number of objects with an F1 score of 0.975. The YOLO-NAS-SAM approach detected the boundaries of the buildings with high performance by obtaining an IoU value of 0.912.
Note on the Margolus–Levitin quantum speed limit for arbitrary fidelity
Authors: Andrzejewski Krzysztof , Bolonek-Lasoń Katarzyna , Kosiński Piotr 
Published: May 2024

AbstractFor vanishing fidelity between initial and final states, two important quantum speed limits, the Mandelstam–Tamm limit (involving energy dispersion) and Margolus–Levitin one (involving excitation energy expectation value), have been derived. While the generalization of the former limit to the case of arbitrary fidelity is straightforward, the relevant generalization of the latter given in the seminal paper by Giovanetti et al. (Phys Rev A67:052109, 2003) was based on the conjectured equality of lower and upper bounds on the right-hand side of generalized Margolus–Levitin inequality, verified numerically up to seven digits. Only recently there appear two proofs of the conjecture. We provide below a very elementary new proof, based on the simplest tools from differential calculus. Thus, the generalized Margolus–Levitin speed limit can be derived much in the spirit of the original one valid for vanishing fidelity.
Curved Polymeric Sandwich Composites Subjected to Air Shock: An Experimental Investigation
Authors: Pandey A. , Wanchoo P. , Matos H. , Shukla A. 
Published: May 2024

Abstract
Background
The vulnerability of polymeric composite sandwich structures in marine applications to air explosions highlights a significant gap in our understanding of the dynamic behavior of the curved sandwich structures, which is essential for design improvements.

Objective
This study aims to explore the dynamic response and failure mechanisms of curved sandwich composite panels subjected to air-blast loading, providing insights into their structural integrity under such conditions.

Methods
Experiments were performed using laboratory-simulated air shocks generated by a shock tube, employing high-speed photography and digital image correlation to measure deflections on the back surface of the panels. The panels, made with PVC closed-cell foam cores of two densities (H45 and H130), were tested across three curved geometries (radii of 112 mm, 305 mm, and infinity) under various boundary conditions.

Results
Findings indicate an increase in deformation with a decreased radius of curvature under simple support conditions, a trend that reverses under arrested displacement conditions. Moreover, a reduced radius significantly enhances panel strength and resistance to interfacial damage, with the primary failure mode transitioning from core shear cracking to interfacial debonding as core density increases.

Conclusions
The study reveals that the radius of curvature, boundary conditions, and core density significantly affect curved sandwich panels’ dynamic response and performance. Panels with smaller radii and higher core densities exhibit increased strength, though boundary conditions introduce variable effects on deformation behavior.
Strategy for the analysis of lignocellulosic biomass to select a viable transformation route in the Colombian context
Authors: Piedrahita-Rodríguez Sara , Alzate-Ramírez Andrés-Felipe , Baumberger Stéphanie , Cézard Laurent , Ortiz-Sánchez Mariana , Escobar García Diego Alexander , Zetty Arenas Ana María , Moustakas Konstantinos , Cardona Alzate Carlos Ariel 
Published: May 2024

AbstractLignocellulosic biomass is widely available in the world. However, a consensus has yet to be established to evaluate the biomass valorization alternatives. The chemical composition is the primary technical limitation in selecting a transformation route to obtain value-added products. In this paper, the bagasse from non-centrifuged sugar (NCS) production and Pinus patula (PP) wood chips were analyzed in terms of complete chemical composition to establish their potential for selecting the transformation routes. A strategy to select the best route based on the chemical composition was applied and a feedstock criteria model was proposed. Schemes were obtained and compared using a bioprocess selection strategy proposed in previous works. As a result, the preliminary biorefinery schemes were finally defined. The assessment of schemes derived from the outlined strategy included technical, economic, environmental, and social analyses. The environmental evaluation was complemented with a geolocation assessment, revealing a 0.75-ton CO2-eq/yr contribution to the carbon footprint for local distribution. The sustainability index for the PP biorefinery and the bagasse from NCS production was analyzed, resulting in indices of 44.8 and 60.9, respectively. These values were primarily derived from the economic and environmental analyses of both processes.
Experimental study for inorganic and organic profiling of toy makeup products: Estimating the potential threat to child health
Authors: Mercan Selda , Kilic Mihriban Dilan , Zengin Simge , Yayla Murat 
Published: May 2024

AbstractInorganic elements are added to toys as impurities to give desired stability, brightness, flexibility, and color; however, these elements may cause numerous health issues after acute or chronic exposure. In this study, the inorganic profile of 14 elements (Al, As, Ba, Cd, Co, Cr, Cu, Hg, Mn, Ni, Se, Sb, Pb, and Zn) in 63 toy makeup products was identified by inductively coupled plasma-mass spectrometry after microwave acid digestion method. Additionally, organic allergen fragrance was investigated by gas chromatography-mass spectrometry. The systemic exposure dosage (SED), margin of safety (MoS), lifetime cancer risk (LCR), hazard quotient (HQ), and hazard indices were used to assess the safety evaluation. Then, 57 out of 63 samples (90.48%) exceeded the limits at least for one toxic element with descending order Ni > Cr > Co > Pb > Sb > Cd > As > Hg. The SED values were compared with tolerable daily intake values and remarkably differences were found for Al and Pb. The MoS values for 57.15% of samples exceeded the limit value for Al, As, Cd, Co, Hg, Mn, Sb, and Zn elements. The LCR values were observed at 100% (n = 63), 79.37% (n = 50), 85.71% (n = 54), 77.78% (n = 49), and 18.87% (n = 10) for Cr, Ni, As, Pb, and Cd, respectively. Also, the skin sensitization risks were obtained for Cr and Ni at 26.980% (n = 17) and 9.52% (n = 6), respectively. The HQ values for 80% of samples were found to be ≥ 1 at least for one parameter. The investigation of fragrance allergens in samples did not show any significant ingredients. As a result, toy makeup products marketed in local stores were found to be predominantly unsafe. Children should be protected from harmful chemicals by regular monitoring and strict measures.
Environmental impacts on intraspecific variation in Ambrosia artemisiifolia genome size in Slovakia, Central Europe
Authors: Hrabovský Michal , Kubalová Silvia , Mičieta Karol , Ščevková Jana 
Published: May 2024

AbstractThe quantity of DNA in angiosperms exhibits variation attributed to many external influences, such as environmental factors, geographical features, or stress factors, which exert constant selection pressure on organisms. Since invasive species possess adaptive capabilities to acclimate to novel environmental conditions, ragweed (Ambrosia artemisiifolia L.) was chosen as a subject for investigating their influence on genome size variation. Slovakia has diverse climatic conditions, suitable for testing the hypothesis that air temperature and precipitation, the main limiting factors of ragweed occurrence, would also have an impact on its genome size. Our results using flow cytometry confirmed this hypothesis and also found a significant association with geographical features such as latitude, altitude, and longitude. We can conclude that plants growing in colder environments farther from oceanic influences exhibit smaller DNA amounts, while optimal growth conditions result in a greater variability in genome size, reflecting the diminished effect of selection pressure.
The Efficacy of Telemental Health Interventions for Mood Disorders Pre-COVID-19: A Narrative Review
Authors: Edwards Alyssa M. , Petitt Jordan C. , Sajatovic Martha , Kumar Sanjana , Levin Jennifer B. 
Published: May 2024

AbstractThe onset of the COVID-19 pandemic saw a significant surge in the utilization of telemental health (TMH) services. This narrative review aimed to investigate the efficacy of TMH for serious mood disorders prior to the COVID-19 pandemic. A search across databases was conducted for randomized controlled trials focusing on TMH interventions for mood disorders, encompassing major depressive disorder (MDD) and bipolar disorder (BD). Study and patient characteristics, interventions, and outcomes were extracted. From a pool of 2611 papers initially identified, 17 met the inclusion criteria: 14 focused on MDD, while 4 addressed BD. Among these, 6 papers directly compared TMH interventions to in-person of same treatment, revealing improved access to care and higher rates of appointment follow-up with TMH. Additionally, 6 papers comparing TMH to treatment as usual demonstrated improvements in mood outcomes. Conversely, 3 papers comparing different TMH interventions found no discernible differences in outcomes. Notably, 3 studies evaluated TMH as an adjunct to usual care, all reporting enhancements in depression outcomes. Overall, preliminary evidence suggests that prior to COVID-19, TMH interventions for serious mood disorders facilitated improved access to care and follow-up, with comparable clinical outcomes to traditional in-person interventions. The discussion addresses limitations and provides recommendations for future research in this domain.
Designing Trauma-Informed Online Support and Mentorship for African Applied Science PhD Scholars
Authors: Grossman Hannah M. , Wanjiku Wangari , Nguku Everlyn 
Published: May 2024

AbstractWe provide a design case using applied trauma-informed frameworks to guide the design and usage adoption of an online support and mentorship platform for African applied science PhD scholars. In the Rsif context, scholars traverse countries, systems, and cultures to obtain their PhDs. The project objective was to create an online system to support their doctoral journeys. We will describe the program, introduce our team, summarize the literature guiding our selection of support objectives and overview the features we integrated into our platform design. After this, we will discuss our platform adoption approach and summarize the results of this project. Finally, concluding with a reflection on bringing trauma-informed frameworks into other learning ecologies.
Surgical outcomes of robotic versus conventional autologous breast reconstruction: a systematic review and meta-analysis
Authors: Elameen Ali Mohamed , Dahy Asmaa Ali 
Published: May 2024

AbstractBreast reconstruction is an integral part of breast cancer management. Conventional techniques of flap harvesting for autologous breast reconstruction are associated with considerable complications. Robotic surgery has enabled a new spectrum of minimally invasive breast surgeries. The current systematic review and meta-analysis study was designed to retrieve the surgical and clinical outcomes of robotic versus conventional techniques for autologous breast reconstruction. An extensive systematic literature review was performed from inception to 25 April 2023. All clinical studies comparing the outcomes of robotic and conventional autologous breast reconstruction were included for meta-analysis. The present meta-analysis included seven articles consisting of 783 patients. Of them, 263 patients received robotic breast reconstruction, while 520 patients received conventional technique. Of note, 477 patients received latissimus dorsi flap (LDF) and 306 were subjected to deep inferior epigastric artery perforator (DIEP) flap. There was a significantly prolonged duration of surgery (MD 58.36;95% CI 32.05,84.67;P < 0.001) and duration of anaesthesia (MD 47;95% CI 16.23,77.77;P = 0.003) among patients who underwent robotic surgery. There was a similar risk of complications between robotic and conventional surgeries. The mean level of pain intensity was significantly lower among patients who received robotic breast surgery (MD− 0.28;95% CI − 0.73,0.17; P = 0.22). There was prolonged length of hospitalization among patients with conventional DIEP flap surgery (MD− 0.59;95% CI − 1.13,− 0.05;P = 0.03). The present meta-analysis highlighted the feasibility, safety, and effectiveness of robotic autologous breast reconstruction. This included the successful harvesting of LDF and DIEP flap with acceptable surgical and functional outcomes.
Optimization of Enzymatic Transesterification of Acid Oil for Biodiesel Production Using a Low-Cost Lipase: The Effect of Transesterification Conditions and the Synergy of Lipases with Different Regioselectivity
Authors: Moschona Alexandra , Spanou Androniki , Pavlidis Ioannis V. , Karabelas Anastasios J. , Patsios Sotiris I. 
Published: May 2024

AbstractThis study describes the enzymatic production of second-generation biodiesel using low-quality acid oil as a substrate. Biolipasa-R, a commercially available and low-cost lipase, was employed for enzymatic transesterification. Response surface methodology was applied to optimize the enzymatic transesterification process. The optimal conditions for biodiesel production, which comprised 42% lipase concentration (per weight of oil), 32% water content (per weight of oil), a methanol to oil molar ratio of 3:1, pH 7.0 and reaction temperature 30°C, resulted in the highest fatty acid methyl ester (FAME) content (71.3%). Subsequently, the synergistic effect of two lipases with different regioselectivities under the optimum transesterification conditions was studied, aiming at the enhancement of process efficiency. The transesterification efficiency of immobilized Biolipasa-R was determined and compared to that of Biolipasa-R in its free form. The results revealed a good performance on FAME content (66.5%), while the recycling of immobilized lipase resulted in a decrease in transesterification efficiency after three consecutive uses.