bluuebunny/crossref_metadata_2025_split huggingface dataset:
Die interoperable Edition ‚sub specie durationis‘
Authors: Hegel Philipp , Gengnagel Tessa , Hensen Kilian , Lemke Karoline , Brüning Gerrit 
Published: November 2024

Abstract
The rapid evolution of web technologies presents a challenge regarding the long-term usability of digital editions. Besides graphical web presentation layers, programming interfaces can be considered as a provision layer of such an edition. In this context, the paper investigates the roles that some special formats can play as intermediaries between project-specific data models and interconnected digital resources, specifically highlighting the potential of pivot formats and BEACON. By exploring the dependencies on formats and software for data generation, transformation, and analysis, the paper argues that additional machine-readable formats can improve the durableness and interoperability of digital editions. Regarding sustainability of digital editions in terms of accessibility and usability, however, technical, scholarly, and economic factors must also be taken into consideration.
Historisch-kritisch edieren
Authors: Langkabel Isabel 
Published: November 2024

Abstract
The conditions under which historical-critical editions are created depend on technical, scientific and social factors. The emergence of digitality in the humanities in recent decades has contributed to a change in scholarly editing that is not welcomed by all sides. The article therefore uses exemplary editions to examine the supposed contrast between digital and analog editing and attempts to demonstrate that the editorial approach always depends on the subject matter.
Chronologie, Schichtung, Korrektur: Heiner Müllers Nachlass als Herausforderung seines eigenen Werkverständnisses
Authors: Bremer Kai 
Published: November 2024

Abstract
The article critically relates Heiner Müller’s publication strategies on the one hand and considerations on his conception of his work, his writing processes and his text production on the other hand. Thereby, the following remarks are intended to show that Müller’s statements about his ‘work’ on the one hand and his writing procedures and text production on the other hand cannot be reconciled. A critical edition of his texts must therefore decide whether it attempts to do justice either to Müller’s understanding of authorship and work or to his writing practice. This contradiction is clarified by means of three categories that have been profiled at least since the publication of Gunter Martens’ and Hans Zeller’s important anthology Texte und Varianten (Texts and Variants) more than 50 years ago. The focus is on ‘chronology’ (‚Chronologie‘). In addition, ‘layering’ (‚Schichtung‘) and ‘correction’ (‚Korrektur‘) are considered.
Macroeconomic Productivity Effects of Artificial Intelligence
Authors: Saam Marianne 
Published: November 2024

Abstract
Some observers expect that the current wave of new tools based on artificial intelligence (AI) models, such as the large language models, will have strong effects on labor productivity. I present definitions and classifications that help understanding AI as an economic input. I then review theoretical and empirical arguments about macroeconomic productivity effects of AI and conclude that research has so far found no indication that productivity effects of the diffusion of AI are likely to be higher than those associated with the internet boom around the year 2000. While considerable uncertainty around future effects remains, a recent review and calibration exercise by Acemoglu, D. (2024. The Simple Macroeconomics of AI. Cambridge, MA: National Bureau of Economic Research, Working Paper 32487) suggests that the effects might be a lot lower.
Educational interventions to improve student nurses’ knowledge, attitudes, or willingness to work with older people: a systematic review of quantitative findings
Authors: Tao Xingjuan , MacAndrew Margaret , Dahlke Sherry , Butler Jeffrey I. , Rayner Jo , Fetherstonhaugh Deirdre , Parker Christina 
Published: November 2024

Abstract
The purpose of this systematic literature review of quantitative findings was to examine the effectiveness of educational interventions to improve gerontological knowledge, attitudes, and willingness to work with older people in baccalaureate nursing students. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, a systematic literature search was conducted in five databases. Quality assessment was conducted using the Mixed-Methods Appraisal Tool. Based on inclusion and exclusion criteria, 41 papers were included in the review. The overall quality of studies included was moderate. The interventions were classified as education content, simulation or immersion experiences, clinical placement, or a combination of these pedagogical approaches. Majority of studies demonstrated improvement in knowledge and attitudes but there was a limited change in willingness to work with older people. There is insufficient evidence to make recommendations for the most effective educational intervention for enhancing bachelor of nursing students’ willingness to engage in gerontological care.
The impact of using DeepL Translator on Chinese EFL students’ story writing
Authors: Liang Lijin 
Published: November 2024

AbstractStory writing is a complex task for EFL students. With the rise of various writing assistance tools enabled by the development of AI, it has become crucial to explore how AI-assisted tools can alleviate the challenges students face in story writing. This study investigated the impact of using DeepL Translator, a cutting-edge AI-assisted tool, on Chinese EFL students’ story writing, evaluating both form and content, and analyzing students’ attitudes toward these tools. Based on the translanguaging approach, thirty university students first wrote their stories in Chinese, then drafted them in English. They used DeepL Translator to translate their Chinese stories into English and compared these translations with their original English drafts to create revised versions. Computational analysis and human raters were employed to evaluate students’ writing products. Surveys and interviews were used to obtain students’ attitudes. Results showed significant improvements in linguistic form, including syntactic and lexical complexity, fluency, and accuracy, assessed using the CALF framework. Additionally, content quality was significantly improved. This study also found that DeepL Translator provided significant support for lower proficiency students. Participants expressed overall satisfaction with DeepL Translator despite some challenges. This study highlights the role of AI-assisted tools in language learning and offers practical suggestions for language pedagogy and future research.
The use of complementary and alternative medicine (CAM) during pregnancy
Authors: Stampini Viviana , Aquino Carmen Imma , Airoldi Chiara , Parini Sara , Surico Daniela , Remorgida Valentino 
Published: November 2024

Abstract

Objectives
Approximately one-third of the global population uses complementary medicine, as yoga and meditation, not endorsed by evidence-based conventional medicine and, with more difficulties in case of pregnancy.

Methods
Our study investigates the prevalence of Complementary and Alternative Medicine (CAM) usage in Novara (Italy) and its province through a survey to pregnant women at 36 gestational weeks.

Results
The sample consisted of 70 women, average age of 33 years, most Caucasian, highly educated, mostly employed, under private gynecological care, with a prevalence of CAM use of 24.3 % [95 % CI 14.83; 36.01]. Six women (35.3 %) did not inform their healthcare provider of using these medicines, 15 women (88.2 %) express willingness to use complementary medicine in their next pregnancy, while 2 (11.8 %) are uncertain. The study found a significant association between higher education and CAM usage among pregnant women. Other factors, including nationality, occupation, choice of private practice, parity, physical activity, diet, smoking, pregnancy complications, and vaccination status, did not show significant relationships with CAM usage.

Conclusions
Our objective is to delineate the characteristics of CAM users, explore the methodologies and motivations of their usage, and ascertain any correlations with the rejection of conventional vaccination practices. The analyzed population consists of 70 women aged 32.9 years in mean, mostly Caucasian, with a high level of education. Most women are under private gynecological care (84.3 %), half of the participants are experiencing their first pregnancy. Physical activity levels vary, with 34.3 % reporting high activity levels. Regarding diet, 77.1 % consider their eating habits moderately healthy, with a notable portion of smokers women (24.3 %); 20.0 % have experienced pregnancy complications. 17 participants utilized non-conventional or alternative medicine, with a prevalence of 24.3 [95 % CI 14.83; 36.01]. Six women (35.3 %) did not inform their healthcare provider about using CAM. Seven women (46.7 %) claim significant beneficial effects in most cases, while 8 (53.3 %) state this occasionally. Based on their experiences, 15 women (88.2 %) express willingness to use complementary alternative medicine in their subsequent pregnancy, while 2 (11.8 %) are uncertain. Only one person (11.1 %) used this type of therapy as a substitute for conventional treatment, but they informed their attending physician. The study seeks to enhance our understanding of CAM utilization in pregnancy, informing more comprehensive and evidence-based healthcare practices for expectant mothers.
A word order typology of adnominal person
Authors: Höhn Georg F.K. 
Published: November 2024

Abstract
This paper investigates cross-linguistic variation in the expression of adnominal person (pers

n
; cf. English “we linguists”) based on a survey of 114 languages, focusing on word order. Two subtypes are distinguished according to whether pers

n
is expressed by an independent pronoun as in English or by a morphologically dependent marker. Prenominal adnominal pronouns are the most common type of pers

n
marking overall, while the morphologically dependent markers are predominantly postnominal (or phrase-final). The order of pers

n
marking relative to its accompanying noun is shown to interact with head-directionality (VO/OV-order, position of dependent genitives, adpositions) and with the position of demonstrative modifiers (prenominal/postnominal) using generalised linear mixed-effects models. Theoretical implications and possible explanations for deviations are discussed concerning variation in the encoding of pers

n
as head or phrasal modifier and its (lack of) co-categoriality with demonstratives.
Domestic Mobility and Relational Equality
Authors: Lenard Patti Tamara 
Published: November 2024

Abstract
My focus is on how democratic states restrict, constrain and shape the movement of citizens and residents across their territory. My central claim is that a focus on equal relations between them, as relational egalitarians emphasize, can show where restrictions on movement are permissible or problematic. Over the course of the discussion, I offer many examples, as well as four cases in which I assess specific movement-related policies for whether they are violations of relational equality: exclusionary zoning, eminent domain, resettlement of isolated communities and no-fly lists. These analyses are neither extensive nor exhaustive, but I hope they are sufficient to demonstrate that relational egalitarians should be concerned with whether citizens and residents can move freely and to indicate how a relational egalitarian can evaluate movement-related policies as to whether they support or undermine the ability of citizens and residents to interact as social equals.
Paper fingerprint by forming fabric: analysis of periodic marks with 2D lab formation sensor and machine learning for forensic paper-identification
Authors: Jeong Chang Woo , Lee Yong Ju , Chang Shin Yun , Choi Mi Jung , Kim Hyoung Jin 
Published: November 2024

Abstract
Weave and drainage marks on paper surfaces derived from forming fabrics installed in paper machines were examined. Non-destructive differentiation of copy papers from various manufacturers was performed by a 2D Lab Formation Sensor. Individual characteristics such as angles and wavelengths formed by the fabric were selected as parameters for the analysis. These parameters were sampled from a total of 500 papers: 50 sheets of paper from each of the 10 groups by copy paper manufacturers. Using machine learning algorithms such as partial least squares discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), and naive bayes (NB) models to analyze these parameters allows for the identification of copy paper groups by manufacturers. The NB classifier demonstrated superior performance, achieving an accuracy of 0.973 even with a 50 % reduction in input variables. This study shows that periodic marks on paper surfaces can act as important indicators of the forming fabric and the distinct features of a paper-making machine. In general, this paper proposes that the 2D Lab Formation Sensor along with machine learning models can be utilized for non-destructive copy paper categorization. This identification method could be broadened to determine information regarding suspicious documents for forensic identification purposes.
Characterization of sludge from a cellulose pulp mill for its potential biovalorization
Authors: Alves Filipe dos Santos , Condezo Castro Tatiana Aurora , Gonçalves Lindomar Matias , Pedroza Marcelo Mendes , Coutinho de Paula Eduardo , Cardoso Marcelo 
Published: November 2024

Abstract
This study collected sludge samples from the kraft pulp mills of a Brazilian industry and physicochemically characterized them to investigate their biovalorization. The objective was to identify opportunities to produce value-added products, promoting the circular economy and environmentally appropriate destinations. The types of processes and raw materials influence sludge characteristics. The primary sludge was composed mainly of fibers and water, has a slightly alkaline pH, Carbon:Nitrogen (C:N) ratio is high attributed to fibers, and contains calcium, magnesium, phosphorus, and organic carbon. The biological sludge was rich in proteins, bacterial cells, and minerals. The analyses revealed functional groups such as hydroxyls and aliphatic methylene, high concentrations of carbon and oxygen, a fibrous and crystalline structure of cellulose in the primary sludge, and dense microparticles in the biological sludge. Thermogravimetry found a mass loss of 11 % and final combustion at 742 °C for the biological sludge. The primary sludge showed a mass loss of 38 % with peaks at 329 and 784 °C, which suggests that the primary sludge could be used as fuel. Potential routes for the use of the primary and biological sludge included its use as agricultural fertilizer, thermal processing, biochar, and production of activated carbon, despite the low calorific values.
ВЛИЯНИЕ ПЕРОКСИДНОЙ АКТИВНОСТИ БАШКИРСКОГО ЛИПОВОГО МЕДА НА АНТИБАКТЕРИАЛЬНУЮ АКТИВНОСТЬ
Authors: М.М. КАНЧУРИНА , Р.Ф. ТАЛИПОВ , Р.Н. КАИПКУЛОВ , Е.С. САЛТЫКОВА , Л.Р. ГАЙФУЛЛИНА , М.Д. КАСКИНОВА 
Published: November 2024

Башкирский липовый мед известен не только своим неповторимым ароматом и нежным вкусом, но и лечебными антибактериальными свойствами. Одним из компонентов, отвечающих за бактерицидные свойства меда, является пероксид водорода, который образуется в результате ферментативного окисления глюкозы до глюконовой кислоты под действием вырабатываемого пчелами фермента глюкозооксидазы. В литературе отсутствуют данные об изучении пероксидных антибактериальных свойств башкирского меда. Настоящее исследование посвящено количественному определению содержания пероксида водорода в башкирском липовом меде, собранном из различных природно-сельскохозяйственных зон Республики Башкортостан. Согласно результатам мелиссопалинологического анализа, все изученные 39 образцов меда являются цветочными монофлорными липовыми медами. Концентрация пероксида водорода в них колеблется в пределах 0-51.97 мг/кг•ч. Высокое разнообразие в чувствительности исследованных штаммов условно-патогенных микроорганизмов Staphylococcus aureus, Escherichia coli и Pseudomonas aeruginosa к испытанным образцам липового меда дает основание полагать о наличии как пероксидного, так и непероксидного механизмов антибактериальной активности. Непероксидная антибактериальная активность может быть обусловлена медовыми компонентами пчелиного, растительного и микробного происхождения: органическими кислотами, антимикробными белками и пептидами, а также бактериоцинами.
Bashkir linden honey is known not only for its unique aroma and delicate taste, but also for its medicinal antibacterial properties. One of the components responsible for the bactericidal properties of honey is hydrogen peroxide, which is formed as a result of enzymatic oxidation of glucose to gluconic acid by glucose oxidase, the enzyme produced by bees. However, there are no data in the literature on the studies of the peroxide antibacterial properties of Bashkir honey. The present study deals with the quantitative determination of the hydrogen peroxide content in Bashkir linden honey collected from various natural and agricultural zones of the Republic of Bashkortostan. According to the results of the melissopalynological analysis, all the studied 39 honey samples are floral monofloral linden honey. The concentration of hydrogen peroxide in all samples ranges within 0-51.97 mg/kg h. The high diversity in the sensitivity of the investigated strains of opportunistic microorganisms Staphylococcus aureus , Escherichia coli and Pseudomonas aeruginosa to the tested samples of linden honey suggests the presence of both peroxide and non-peroxide mechanisms of antibacterial activity. Non-peroxide antibacterial activity can be represented by the honey components of bee, plant and microbial origin: organic acids, antimicrobial proteins and peptides, as well as bacteriocins.
ВЛИЯНИЕ ПАРАМЕТРОВ МЕХАНОХИМИЧЕСКОЙ ОБРАБОТКИ НА ПРОЦЕСС ЭТОКСИЛИРОВАНИЯ ПРОИЗВОДНЫХ БЕНЗОЙНОЙ КИСЛОТЫ
Authors: С.Л. ХИЛЬКО , Р.А. МАКАРОВА , Р.Г. СЕМЕНОВА , О.И. НЕВЕЧЕРЯ 
Published: November 2024

Изучены закономерности протекания реакции этоксилирования производных бензойной кислоты при взаимодействии с полиэтиленгликолем, осуществляемой методом механохимического твердофазного синтеза в вибрационном аппарате. Проанализированы условия проведения механохимических реакций для увеличения степени превращения исходных реагентов в продукты реакции. Продукты реакции этоксилирования охарактеризованы методами ИК-спектроскопии, кислотно-основного потенциометрического титрования, тензиометрии и дилатационной реологии. Установлено, что степень превращения исходных реагентов в продукты реакции этоксилирования зависит от природы заместителя и его положения в бензольном кольце. Степень превращения в продукты реакции выше в случае орто-замещенных производных бензойной кислоты. Показано, что соли этоксилированных производных бензойной кислоты проявляют выраженные поверхностно-активные свойства на границе раздела "раствор - воздух".
The regularities of ethoxylation of benzoic acid derivatives during interaction with polyethylene glycol through mechanochemical solid-phase synthesis in a vibrating apparatus have been studied. The conditions for carrying out mechanochemical reactions to increase the conversion degree of initial reagents into reaction products are analysed. The products of ethoxylation are characterized by IR spectroscopy, acid-base potentiometric titration, tensiometry, and dilatational rheology. It has been established that the degree of starting reagents conversion into ethoxylation products depends on the nature of the substituent and its position in the benzene ring. The degree of conversion into reaction products is higher for ortho-substituted derivatives of benzoic acid. It is shown that the salts of ethoxylated derivatives of benzoic acid exhibit pronounced surfactant properties at the air - solution interface.
Interventions to Reduce Imaging in Children With Minor Traumatic Head Injury: A Systematic Review
Authors: Lesyk Nick , Kirkland Scott W. , Villa-Roel Cristina , Campbell Sandra , Krebs Lynette D. , Sevcik Bill , Essel Nana Owusu , Rowe Brian H. 
Published: November 2024

CONTEXT
Reducing unnecessary imaging in emergency departments (EDs) for children with minor traumatic brain injuries (mTBIs) has been encouraged.

OBJECTIVE
Our objective was to systematically review the effectiveness of interventions to decrease imaging in this population.

DATA SOURCES
Eight electronic databases and the gray literature were searched.

STUDY SELECTION
Comparative studies assessing ED interventions to reduce imaging in children with mTBIs were eligible.

DATA EXTRACTION
Two independent reviewers screened studies, completed a quality assessment, and extracted data. The median of relative risks with interquartile range (IQR) are reported. A multivariable metaregression identified predictors of relative change in imaging.

RESULTS
Twenty-eight studies were included, and most (79%) used before–after designs. The Pediatric Emergency Care Applied Research Network (PECARN) rule was the most common intervention (71%); most studies (75%) used multifaceted interventions (median components: 3; IQR: 1.75 to 4). Before–after studies assessing multi-faceted PECARN interventions reported decreased computed tomography (CT) head imaging (relative risk = 0.73; IQR: 0.60 to 0.89). Higher baseline imagine (P &lt; .001) and additional intervention components (P = .008) were associated with larger imaging decreases.

LIMITATIONS
The limitations of this study include the inconsistent reporting of important outcomes and that the results are based on non-randomized studies.

CONCLUSIONS
Implementing interventions in EDs with high baseline CT ordering using complex interventions was more likely to reduce head imaging in children with mTBIs. Including the PECARN decision rule in the intervention strategy decreased orders by a median of 27%. Further research could provide insight into which specific factors influence successful implementation and sustained effects.
Characteristics of Children Ages 1–17 Who Died of COVID-19 in 2020–2022 in the United States
Authors: Dykstra Heather K. , Pilkey Diane , Tautges Jordan , Schnitzer Patricia G. , Collier Abigael , Kinsman Sara B. 
Published: November 2024

OBJECTIVES
This study describes characteristics of children ages 1 to 17 years who died of coronavirus disease 2019 (COVID-19) in 2020 to 2022 and whose deaths were reviewed by child death review (CDR) teams across the United States.

METHODS
We used data in the National Fatality Review-Case Reporting System to examine children who died of COVID-19. Deaths were determined because of COVID-19 from death certificates or CDR determinations.

RESULTS
A total of 183 children 1 to 17 years old who died of COVID-19 were reported in the National Fatality Review-Case Reporting System. One-third (33%) were 15- to 17-year-olds, and 26% were 1- to 4-year-olds. Fifty-six percent were reported as male, 54% white, 24% Black, and 18% Hispanic ethnicity. Physicians declared cause of death in at least 82% of deaths. More than two-thirds (68%) had a medical condition (excluding COVID-19) at time of death. The most common conditions were nervous system disorders (19%), congenital disorders (14%), obesity (12%), respiratory disorders (12%), and neurodevelopmental disorders (10%). Of children with an underlying condition, 35% had 3 or more conditions. Less than half (42%) had contact with a health care provider within a month of their death; and three-fourths died within 14 days of exposure.

CONCLUSIONS
This study describes the demographics, death investigation findings, and medical conditions of children who died of COVID-19. The results highlight the short timeline between COVID-19 exposure and death. Pandemic planning that prioritizes prevention efforts and timely access to effective medical care may result in saving children’s lives.