bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a nomogram for predicting the risk of vasovagal reactions after plasma donation
Authors: Zhao Peizhe , Dong Demei , Dong Rong , Zhou Yuan , Hong Yan , Xiao Guanglin , Li Zhiye , Su Xuelin , Zheng Xingyou , Liu Xia , Zhang Demei , Li Ling , Liu Zhong 
Published: July 2023

AbstractBackground and ObjectivesVasovagal reactions (VVRs) are the most common adverse reactions and are frequently associated with serious donor adverse events. Even mild VVRs can lead to a significant reduction in the likelihood of subsequent donations. The purpose of this study is to explore the factors related to the occurrence of VVRs after plasma donation and to construct a nomogram to identify individuals at risk for VVRs to improve the safety of plasma donors.Materials and MethodsWe collected the donation data from July 2019 to June 2020 from a plasma center in Sichuan, China, to explore the independent risk factors for vasovagal reactions. From these data, we constructed and validated a predictive model for vasovagal reactions.ResultsVVRs after plasma donation occurred 737 times in 120 448 plasma donations (0.66%). Gender, season, donor status, weight, pulse, duration of donation, and cycle were independent risk factors for VVRs (P< 0.05). The concordance index (C‐index) of a logistic model in the derivation cohort was 0.916, with a Hosmer‐Lemeshow goodness‐of‐fit probability of 0.795. The C‐index of a logistic model in the validation cohort was 0.916, with a Hosmer‐Lemeshow goodness‐of‐fit probability of 0.224. The calibration curve showed that the predicted results were in good agreement with the actual observed results.ConclusionThis study preliminarily constructed and verified a prediction model for VVRs after plasma donation. The model nomogram is practical and can identify high‐risk donors.
State‐of‐the‐art and challenges in the analysis of renewable gases
Authors: Legendre Agathe , Jores Clément De Saint , Dugay José , Cuccia Lorena , Ballestas Castro Dairo , Thiebaut Didier , Vial Jérôme 
Published: July 2023

The development of renewable and low‐carbon gases for injection into the gas grid obtained by different processes such as anaerobic digestion, pyrogasification, hydrothermal gasification, and methanation, followed by upgrading steps, increases the demand for analysis and characterization in order to fully manage their integration into the gas value chain. If the analysis of the main compounds (methane, carbon dioxide, hydrogen, and carbon monoxide) is well described, the analysis of impurities in renewable gases remains more challenging due to their various natures and quantities.After a brief description of renewable and low‐carbon methane production processes, the review focuses on the methods used for the analysis of the different compounds in renewable gases, from the main ones to impurities at ppbvlevels. Gas chromatography (GC), coupled with different detectors, is the preferred technique, enabling the analysis and quantification of siloxanes, terpenes, oxygenates, and sulfur compounds. Recently, comprehensive two‐dimensional GC has been applied to renewable gases, increasing the number of compounds detected. Non‐chromatographic techniques are also reviewed. As sampling is of major importance in the search for reliable analyses, a whole section is devoted to this aspect. Among the available methods, pre‐concentration on adsorbent tubes emerges as the most relevant solution.
Advances in Targeting Drug Biological Carriers for Enhancing Tumor Therapy Efficacy
Authors: Xia Donglin , Li Jia , Feng Lingzi , Gao Ziqing , Liu Jun , Wang Xiangqian , Hu Yong 
Published: July 2023

AbstractChemotherapy drugs continue to be the main component of oncology treatment research and have been proven to be the main treatment modality in tumor therapy. However, the poor delivery efficiency of cancer therapeutic drugs and their potential off‐target toxicity significantly limit their effectiveness and extensive application. The recent integration of biological carriers and functional agents is expected to camouflage synthetic biomimetic nanoparticles for targeted delivery. The promising candidates, including but not limited to red blood cells and their membranes, platelets, tumor cell membrane, bacteria, immune cell membrane, and hybrid membrane are typical representatives of biological carriers because of their excellent biocompatibility and biodegradability. Biological carriers are widely used to deliver chemotherapy drugs to improve the effectiveness of drug delivery and therapeutic efficacy in vivo, and tremendous progress is made in this field. This review summarizes recent developments in biological vectors as targeted drug delivery systems based on microenvironmental stimuli‐responsive release, thus highlighting the potential applications of target drug biological carriers. The review also discusses the possibility of clinical translation, as well as the exploitation trend of these target drug biological carriers.
Outer membrane β‐barrel structure prediction through the lens ofAlphaFold2
Authors: Topitsch Annika , Schwede Torsten , Pereira Joana 
Published: July 2023

AbstractMost proteins found in the outer membrane of gram‐negative bacteria share a common domain: the transmembrane β‐barrel. These outer membrane β‐barrels (OMBBs) occur in multiple sizes and different families with a wide range of functions evolved independently by amplification from a pool of homologous ancestral ββ‐hairpins. This is part of the reason why predicting their three‐dimensional (3D) structure, especially by homology modeling, is a major challenge. Recently, DeepMind's AlphaFold v2 (AF2) became the first structure prediction method to reach close‐to‐experimental atomic accuracy in CASP even for difficult targets. However, membrane proteins, especially OMBBs, were not abundant during their training, raising the question of how accurate the predictions are for these families. In this study, we assessed the performance of AF2 in the prediction of OMBBs and OMBB‐like folds of various topologies using an in‐house‐developed tool for the analysis of OMBB 3D structures, andbarrOs. In agreement with previous studies on other membrane protein classes, our results indicate that AF2 predicts transmembrane β‐barrel structures at high accuracy independently of the use of templates, even for novel topologies absent from the training set. These results provide confidence on the models generated by AF2 and open the door to the structural elucidation of novel transmembrane β‐barrel topologies identified in high‐throughput OMBB annotation studies or designed de novo.
Women, power, and rape culture: The politics & policy of underrepresentation. By BonnieStabile, Aubrey LeighGrant, Bloomsbury Publishing. 2023. eISBN‐13: 9781440876981
Authors: Bullock Carla G. 
Published: July 2023

AbstractThis book review is an analysis of how the author’s have connected the Trump presidency to the continued and rampant abuse towards women in the United States. Bonnie Stabile and Aubrey Leigh Grant have detailed their research of sexual harassment and assault long being an issue in the American society, however it has been echoed by many politicians whom have the power to impact our rights with their beliefs. This review breaks down the main points detailed in Women, Power, and Rape Culture: The Politics & Policy of Underrepresentation, and presents an understanding of abuse of power on a government level and the maltreatment women face because of this.
A Planning Tool for Improving Interactive Read‐Alouds: Why and How
Authors: Venegas Elena M. , Guanzon Angelica 
Published: July 2023

AbstractInteractive read‐alouds are versatile in that teachers can teach an array of literacy skills through this instructional strategy. However, our observations of six primary grade teachers and prior research revealed that teachers' implementation of interactive read‐alouds varies. Without the necessary planning and preparation for interactive read‐alouds, the richness of this instructional strategy is limited. In this article, we present a planning tool for interactive read‐alouds that teachers can readily adapt for use in their classrooms. We also offer three recommendations. Together the planning tool and recommendations are specific enough to provide guidance yet flexible enough for teachers to modify to meet the learning goals of their specific students. Improving this instructional practice will ensure that all students benefit from the interactive read‐alouds and grow in their phonological and phonemic awareness, phonics, vocabulary, and comprehension.
ESG ratings explainability through machine learning techniques
Authors: Del Vitto Alessandro , Marazzina Daniele , Stocco Davide 
Published: July 2023

AbstractEnvironmental, Social, and Governance (ESG) scores are quantitative assessments of companies’ commitment to sustainability that have become extremely popular tools in the financial industry. However, transparency in the ESG assessment process is still far from being achieved. In fact there is no full disclosure on how the ratings are computed. As a matter of fact, rating agencies determine ESG ratings (as a function of the E, S and G scores) through proprietary models which public knowledge is limited to what the data provider effectively chooses to disclose, that, in many cases, is restricted only to the main ideas and essential principles of the procedure. The goal of this work is to exploit machine learning techniques to shed light on the ESG ratings issuance process. In particular, we focus on the Refinitiv data provider, widely used both from practitioners and from academics, and we consider white-box and black-box mathematical models to reconstruct the E, S, and G ratings’ assessment model. The results show that it is possible to replicate the underlying assessment process with a satisfying level of accuracy, shedding light on the proprietary models employed by the data provider. However, there is evidence of persisting unlearnable noise that even more complex models cannot eliminate. Finally, we consider some interpretability instruments to identify the most important factors explaining the ESG ratings.
Bat mortality in wind farms of southern Europe: temporal patterns and implications in the current context of climate change
Authors: Salguero María del Mar , De la Cruz Andrés , Muñoz Antonio - Román , Muñoz Arroyo Gonzalo 
Published: July 2023

AbstractThe expansion of renewable energy production, especially wind power, is one of the cornerstones of our strategy for mitigating climate change. However, there is growing concern about the impacts of this energy source on biodiversity. In particular, very little is known about the impact on groups of fauna such as bats, which are especially sensitive to environmental changes. We investigated the temporal patterns of bat fatalities in wind farms in the province of Cádiz, in the south of the Iberian Peninsula. An eleven-year data set (2009–2019) from a surveillance program of bird and bat mortality in wind farms was analysed. A total of 2,858 fatalities concerning 10 bat genera were reported, although more than 90% of the affected animals were individuals of the genera Pipistrellus, Eptesicus and Nyctalus. Bat mortality occurred mainly during the summer and autumn, especially in August. However, species such as the genus Pipistrellus, present collisions throughout the year, including all winter months in the case of the genus Pipistrellus. The probability of mortality was positively correlated with the maximum daily temperature. According to the model prediction, the probability of fatality begins to increase slightly from 20 °C and then rises sharply when the temperature exceeds 30 °C, that can be interpreted as a consequence of increasing bat activity at local scale. According to the regional projections of global climate models, an increase in maximum temperatures and the arrival of milder winters may lead to an increase in the annual mortality of bats in wind farms in the coming decades.
Restoring organic matter, carbon and nutrient accumulation in degraded peatlands: 10 years Sphagnum paludiculture
Authors: Temmink Ralph J. M. , Vroom Renske J. E. , van Dijk Gijs , Käärmelahti Sannimari A. , Koks Adam H. W. , Joosten Hans , Krebs Matthias , Gaudig Greta , Brust Kristina , Lamers Leon P. M. , Smolders Alfons J. P. , Fritz Christian 
Published: July 2023

AbstractDrained peatlands emit large amounts of greenhouse gases and cause downstream nutrient pollution. Rewetting aids in restoring carbon storage and sustaining unique biodiversity. However, rewetting for nature restoration is socio-economically not always feasible. Cultivation of Sphagnum biomass after rewetting allows agricultural production. In the short term, Sphagnum paludiculture is productive without fertilization but it remains unclear whether it sustains its functionality in the longer-term. We studied nutrient dynamics, organic matter build-up, and carbon and nutrient accumulation at a 16-ha Sphagnum paludiculture area in NW-Germany. Site preparation included topsoil removal and inoculation with Sphagnum and it was rewetted five and ten years ago and managed with mowing, irrigation, and ditch cleaning. The unfertilized sites were irrigated with (compared to bog conditions) nutrient-rich surface water and exposed to atmospheric nitrogen deposition of 21 kg N/ha/yr. Our data reveal that ten years of Sphagnum growth resulted in a new 30 cm thick organic layer, sequestering 2,600 kg carbon, 56 kg nitrogen, 3.2 kg phosphorus, and 9.0 kg potassium per ha/yr. Porewater nutrient concentrations were low and remained stable over time in the top layer, while ammonium concentrations decreased from 400–700 to 0–50 µmol/L in the peat profile over 10 years. Hydro-climatic fluctuations most likely caused the variation in ammonium in the top layer. We conclude that Sphagnum paludiculture enables rapid carbon and nutrient accumulation without active fertilization provided the biomass is not harvested, and provides perspective for bog restoration on agricultural peatlands. Large-scale application of Sphagnum paludiculture may mitigate environmental issues of unsustainable peatland-use.
New kid on the block? a conceptual systematic review of digital agency
Authors: Siddiq Fazilat , Røkenes Fredrik Mørk , Lund Andreas , Scherer Ronny 
Published: July 2023

AbstractThe digitalisation of education has been emphasised over the last two decades, affecting and developing both the theories and practices of teaching and learning. Considering these developments, the need for addressing teachers’ and students’ digital competence has gained ground. In the last few years, the concept of digital agency has been noted in empirical and theoretical research – broadly focusing on the integration of information and communication technologies (ICT) in education. Nonetheless, how digital agency is understood and how it relates to the more established concept of digital competence remains unclear. To address this gap, we conducted a conceptual systematic review and examined the current state of the knowledge on digital agency. Specifically, we review the conceptualisations of digital agency, its underlying theoretical frameworks, and how it relates to digital competence and similar concepts. Database searches resulted in 32 publications, with the majority published in education and design journals and stemming from Scandinavian countries. Our findings show that out of 32 studies, only one aimed at defining digital agency explicitly. Nevertheless, for the last three years, digital agency has been more frequently used in the body of literature, emphasising the design and transformation of teaching and learning with technology towards a ‘new normal’ considering the post-pandemic era and lessons learned. Reviewing the extant body of knowledge on digital agency, we review the strengths and weaknesses of the concept and compare it to the more established notion of digital competence. Finally, we discuss implications for policy, research, and practice in education.
Waterfowl populations decline with nutrient reduction and increase with nutrient restoration: 20 years of adaptive management at a Ramsar-listed wastewater treatment plant
Authors: Loyn Richard H. , Rogers Danny I. , Swindley Robert J. , Menkhorst Peter W. , Stamation Kasey , Haynes Suelin , Graham Heather , Hepworth Graham , Steele William K. 
Published: July 2023

AbstractNutrients such as nitrogen and phosphorus are typically considered detrimental to wetland values, but waterfowl can be numerous on nutrient-rich wetlands. Waterfowl were counted three to six times per year on nine treatment lagoons and associated wetlands (2,025 ha) at the Western Treatment Plant (south-east Australia) from 2000, to help maintain ecological values of this Ramsar-listed wetland as well as treating sewage for a large city (Melbourne). Up to 185,000 waterfowl were counted, varying with season, continental rainfall and lagoon operation. Nutrient levels were reduced on Lake Borrie lagoon in 2005 (as part of an Environmental Improvement Program) and restored in 2015. Waterfowl declined on Lake Borrie lagoon from 2005 when it received treated effluent not raw sewage, and increased in 2015 when it received partially treated sewage. This pattern was highly significant for total waterfowl and most species and guilds at Lake Borrie but was not replicated on other lagoons. Modelling revealed positive relationships between waterfowl numbers and nutrient concentrations, including ammonia and nitrite, to moderate levels. This shows that with careful management nutrient enrichment can have positive benefits, allowing artificial wetlands such as wastewater treatment plants to support high densities of waterbirds and the food webs that sustain them.
Optimization of electrospinning process parameters to develop the smallest ZnO + PVP nanofibres using Taguchi experimental design and ANOVA
Authors: Mhetre Harshada Vishal , Krishnarao Kanse Yuvraj , Naik Nithesh 
Published: July 2023

AbstractElectrospinning is a well-known and straightforward technique for creating nanofibres from various materials, such as metals, ceramics, and polymers. The process takes place in a strong electric field, causing the polymer solution to stretch, resulting in micro/nanoscale fibres. The process parameters of electrospinning influence the morphology of nanofibres. In the present study, zinc oxide (ZnO) nanofibres were created in a polyvinylpyrrolidone (PVP) polymer combining electrospinning and sol–gel methods. To measure the effects of electrospinning and sol–gel on the diameter of ZnO + PVP nanofibres, a Taguchi design of experiment (DoE) approach was adopted, which comprised the “PVP concentrations, flow rate, needle tip-to-collector distances, and applied voltage”. S/N ratio, orthogonal L9 arrays with Taguchi design, and variance analysis. Several trials and investigations are planned using ANOVA to observe the best circumstances for synthesising ZnO + PVP. In DoE studies, it was analysed that the PVP concentration is the most crucial determinant of the nanofibre diameter, followed by flow rate. For electro-spun ZnO + PVP nanofibres, an optimal combination was also identified to produce the lowest diameters with the least variance. Interaction plot values were also recommended for experimentation with good interaction and a further selection of parameter values.
Fraud detection with natural language processing
Authors: Boulieris Petros , Pavlopoulos John , Xenos Alexandros , Vassalos Vasilis 
Published: July 2023

AbstractAutomated fraud detection can assist organisations to safeguard user accounts, a task that is very challenging due to the great sparsity of known fraud transactions. Many approaches in the literature focus on credit card fraud and ignore the growing field of online banking. However, there is a lack of publicly available data for both. The lack of publicly available data hinders the progress of the field and limits the investigation of potential solutions. With this work, we: (a) introduce FraudNLP, the first anonymised, publicly available dataset for online fraud detection, (b) benchmark machine and deep learning methods with multiple evaluation measures, (c) argue that online actions do follow rules similar to natural language and hence can be approached successfully by natural language processing methods.
Development and evaluation of the Norwegian Fatigue Characteristics and Interference Measure (FCIM) for stroke survivors: cognitive interviews and Rasch analysis
Authors: Skogestad Ingrid Johansen , Kottorp Anders , Larsson Petra , Moen Therese Marie , Gay Caryl L. , Borge Christine Råheim , Lerdal Anners 
Published: July 2023

Abstract
Purpose
There is need for a comprehensive measure of post-stroke fatigue with sound measurement properties. This study aimed to develop the Norwegian Fatigue Characteristics and Interference Measure (FCIM) and assess its content validity, structural validity, and internal consistency.

Method
This study consisted of three steps: (1) an expert panel developed version 1.0 of the Norwegian FCIM, (2) its content validity was assessed in cognitive interviews with stroke patients (N = 15), (3) a convenience sample of stroke patients (N = 169) completed an online questionnaire with the FCIM, Fatigue Severity Scale, and sociodemographic information; validity and reliability were assessed using Rasch analysis.

Results
FCIM version 1.0 included a 10-item characteristics subscale, a 20-item interference subscale, and two pre-stroke fatigue items. The cognitive interviews revealed content validity issues, resulting in two interference items being removed and five items being flagged but retained for Rasch analysis (version 2.0). Rasch analysis led to removal of four items from the characteristics subscale and six more from the interference subscale. The final six-item characteristics subscale and 12-item interference subscale (version 3.0) both showed adequate fit to the Rasch model with indications of unidimensionality and local independence. The interference subscale had a high person separation index. No significant differential item function (DIF) was found in relation to gender, but one item demonstrated DIF in relation to age.

Conclusion
The cognitive interviews and Rasch analysis demonstrated that the Norwegian version of the FCIM has high content validity, structural validity, and internal consistency. Future research should assess its construct validity, reliability, and responsiveness.
An assembled message: Matthen on the content of perceptual experience
Authors: Minden Ribeiro Max 
Published: July 2023

AbstractMohan Matthen holds that visual perceptual content is divided into descriptive and referential elements. Descriptive content is our awareness of sensory features belonging to objects located in the visual field. Matthen conceives of this in terms of an image. The referential element is a demonstrative form of content, by which we pick out those objects as particulars and assert their physical presence. Matthen terms this ‘the feeling of presence’. Together, they make up the ‘assembled message’ that visual states present to the perceiver in perceptual experience. I argue that the two elements cannot play together as Matthen envisages. Beginning with the referential element, I show that the feeling of presence is unable to both provide demonstrative reference and assert that the visual state reflects how things are. Turning to the descriptive element, I argue that Matthen is committed to a view on which descriptive (or image) content is a mental entity, a reified image. This is a common element across perceptual experience, episodic memory and visual imagination. The mental entity proves a defective ingredient in assembling perceptual content that purports to present reality. There are problems integrating the depicted viewpoint with the subject’s actual viewpoint, and problems maintaining a coherent notion of assertion. I argue that the project of assembling perceptual experience from descriptive and referential elements is unworkable.