bluuebunny/crossref_metadata_2025_split huggingface dataset:
An integrated model combining BERT and tree-augmented naive Bayes for analyzing risk factors of construction accident
Authors: Liu Shupeng , Shen Jianhong , Zhang Jing 
Published: May 2024

PurposeLearning from past construction accident reports is critical to reducing their occurrence. Digital technology provides feasibility for extracting risk factors from unstructured reports, but there are few related studies, and there is a limitation that textual contextual information cannot be considered during extraction, which tends to miss some important factors. Meanwhile, further analysis, assessment and control for the extracted factors are lacking. This paper aims to explore an integrated model that combines the advantages of multiple digital technologies to effectively solve the above problems.Design/methodology/approachA total of 1000 construction accident reports from Chinese government websites were used as the dataset of this paper. After text pre-processing, the risk factors related to accident causes were extracted using KeyBERT, and the accident texts were encoded into structured data. Tree-augmented naive (TAN) Bayes was used to learn the data and construct a visualized risk analysis network for construction accidents.Findings The use of KeyBERT successfully considered the textual contextual information, prompting the extracted risk factors to be more complete. The integrated TAN successfully further explored construction risk factors from multiple perspectives, including the identification of key risk factors, the coupling analysis of risk factors and the troubleshooting method of accident risk source. The area under curve (AUC) value of the model reaches up to 0.938 after 10-fold cross-validation, indicating good performance.Originality/value This paper presents a new machine-assisted integrated model for accident report mining and risk factor analysis, and the research findings can provide theoretical and practical support for accident safety management.
Beware the puppeteers: the role of geopolitics in the bargaining dynamics between a Russian politically connected MNC and the country of Montenegro
Authors: Ermolaeva Liubov , Panibratov Andrei , Dikova Desislava 
Published: May 2024

Purpose
This paper aims to use the obsolescing bargaining power (OBP) Model (Vernon, 1977, 1998) to analyze the case of United Company Rusal, a Russian politically connected multinational companies (MNCs) that was one of the world’s largest aluminum companies between 2005 and 2014, having acquired and, ultimately, sold the Montenegrin aluminum smelter company Kombinat aluminijuma Podgorica.The authors did so with the aim of answering the following question: How do geopolitics affect the bargaining balance of power between a Russian MNC and a host country?

Design/methodology/approach
The authors used the discourse analysis methodology to identify the key players in the bargaining process and illustrate the evolving bargaining process.

Findings
The authors demonstrated that, over time, the shift in power from the Russian MNC to the host government had not merely been the result of the increase in committed MNC assets in the host country but, rather, of a geopolitical chess game involving the Russian Government, North Atlantic treaty organization (NATO) and the European Union (EU). By extending the OBP model with geopolitics, the authors found that a political agenda can influence the outcome of a bargaining process.

Originality/value
The authors extended the OBP model to illustrate the complex interaction between an emerging market MNC and an emerging host country government, indirectly influenced by two supranational organizations – the EU and NATO.
The impact of COVID‐19 stay‐at‐home orders on domestic violence assaults: A study of New South Wales
Authors: Graceffo Jake 
Published: May 2024

AbstractIntroduction of stay‐at‐home orders during the COVID 19 pandemic led to immediate disruption of individuals' daily routines with confinement to their households and changes in risk factors of domestic violence. Utilising data from the Bureau of Crime Statistics and Research (BOCSAR), I estimate the causal impact of stay‐at‐home orders on domestic violence assaults in New South Wales. Since adoption dates for these restrictions varied across LGAs, I implement a staggered difference‐in‐difference (DiD) specification. I find a 21% decline in daily domestic violence assault incidents during stay‐at‐home order periods compared to pre‐restriction incidence levels. These results are robust under weekly frequency and extrapolated fixed effects models. I further utilise google search term data as a proxy of consistent reporting rates and unemployment data to identify household power dynamics. Analysis of both data sets support estimates of declines in domestic violence during stay‐at‐home order periods.
Retaining Australian Nurses: An Analysis of Nurses' Wages and Exit Rates
Authors: Sharma Geena 
Published: May 2024

AbstractThis study examines factors influencing Australian nurses' decisions to quit their jobs, the pathways they take after quitting, and estimates the average wage change associated with a nurse changing professions. Using data from the Household, Income, and Labour Dynamics in Australia Survey and panel data estimation methods, we find that a nurse's pre‐exit hourly wage is significantly associated with their exit decision when controlling for relevant exogenous factors. We also find that most nurses who change professions stay in the healthcare sector, which is characterised by significant increases in hourly wages and occupational prestige and suggests that these nurses change jobs for better opportunities. We conclude that while nurses' exit decisions are not associated with a loss of human capital in healthcare, higher wages would have to be paid if the policy objective is to increase nurse retention.
The effect and timing sensitivity of parenting style on cognitive and non‐cognitive skills
Authors: Lie Benaya 
Published: May 2024

AbstractI exploit data from the Longitudinal Study of Australian Children and linked administrative data to study the effect of various parenting styles on a child's academic achievement and development of non‐cognitive skills at age 14. My results suggest the authoritative parenting style, characterised as disciplined but warm parenting, to be optimal for test scores, prosocial behaviour, and ability to focus. For test scores, I find a greater effect if this parenting style was applied 4 years prior rather than more recently. Conversely for non‐cognitive skills, I find a greater effect from contemporaneous parenting. The implication of my results is to encourage authoritative parenting from an early age but also highlight its continued importance in the present.
‘Stick to the status quo’? A conjoint experiment with German adolescents on democratic designs
Authors: SCHWAIGER VANESSA , BÄCHTIGER ANDRÉ 
Published: May 2024

AbstractWhile representing the next generation of democratic citizens, research on process preferences of adolescents is in its infancy. To analyse what institutional designs adolescents favour, we conducted a conjoint experiment with a unique, representative sample of 1,970 German pupils between the age of 14–17. We find that adolescents in general are ‘status quo’– democrats, preferring a parliament (representing the central institution of the existing representative system) to alternative institutions, namely citizen forums and an assertive leader. However, support for the status quo comes with several qualifications, namely expert input, slow and considerate political processes and a final referendum. Furthermore, we find differences between subgroups, whereby dissatisfied adolescents are more open to citizen forums and an assertive leader than satisfied adolescents. By contrast, more sophisticated adolescents have stronger preferences for the parliament as the main institution. Overall, our results suggest that a major overhaul of the democratic infrastructure does not seem to be a priority for the next generation of citizens, although there is some desire for innovation, namely the ‘blending’ of representative institutions with more citizen participation.
Morphological changes and color development during cookie baking—Kinetic, heat, and mass transfer considerations
Authors: Chen Chang , Espinal‐Ruiz Mauricio , Francavilla Alyssa , Joye Iris J. , Corradini Maria G. 
Published: May 2024

AbstractColor and shape are important quality attributes in baked goods, particularly cookies. Composition and processing conditions determine and influence color development and morphological changes in these baked goods. The objective of this study was to systematically evaluate the evolution of color and shape during baking to determine useful correlations that can be implemented during the assessment and modeling of the baking process. Cookies (AACC‐I standard protocol 10‐53.01) were baked at 185, 205, and 225°C. Moisture content, water activity, surface temperature, characteristic dimensions (radius and thickness), and color indexes (lightness, redness, blueness, and browning index [BI]) were monitored at different locations on the cookie surface and baking times. Relationships among the tested conditions were explored using correlation analysis. The cookies’ dimensions and color indexes were strongly correlated with changes in moisture content over time, and those relationships were characterized using empirical models. The temperature dependence of the kinetic parameters of the changes in lightness and BI was also described and deemed independent of the location on the cookie surface. This study provides insights into the influence of heat and mass transfer on the physical and physicochemical changes of cookies during baking. The kinetic and secondary models developed in this study can serve as important components for establishing a comprehensive approach for coupling heat transfer, mass transfer, and reaction kinetics to estimate and optimize cookie‐baking processes.Practical ApplicationThe findings from this study provide valuable information for better understanding the morphological changes and color developments during the cookie‐baking process. The quantitative data and models generated in this study will allow identifying baking conditions for better quality development.
Attitudes toward uterus transplantation. An option for motherhood?
Authors: Rius Mariona , Camacho Marta , Tomás Nerea , Díaz‐Feijoo Berta , Castelo‐Branco Camil , Borras Aina , Tort Jaume , Carmona Francisco 
Published: May 2024

AbstractIntroductionUterus transplantation is a novel surgical procedure that allows women with absolute uterine factor infertility to carry a pregnancy and give birth. While previous studies have explored the attitudes of women with absolute uterine factor infertility toward uterus transplantation, none have surveyed and compare their views with other groups of interest (Morris syndrome women, relatives of Morris syndrome and Rokitansky syndrome women, infertile women and women of childbearing age) in the same sociocultural setting. The objective of this study was to evaluate attitudes and insights regarding uterus transplantation among women with Rokitansky syndrome and other groups of interest.Material and MethodsWe designed a cross‐sectional study including five groups of women: women with Rokitansky syndrome, women with Morris syndrome, relatives of women with Morris and Rokitansky syndrome, infertile women, and childbearing‐age women. We conducted an online survey through the REDCap platform. The link was distributed by mail, telephone and in hospital outpatient visits. Baseline demographic information was assessed and information regarding motherhood preferences, attitude toward uterus transplantation, preferred uterus graft and perception of risk of the procedure was collected.ResultsWe obtained a total of 200 responses, with a mean participant age of 34.5 years (±9.8). Overall, 17.5% (n = 35) were women with Rokitansky syndrome, 5.5% (n = 11) Morris syndrome women, 21.5% (n = 43) infertile women, 26.5% (n = 53) relatives of Morris and Rokitansky syndrome women and 29% (n = 58) childbearing‐age women. 71.5% of women with Rokitansky syndrome would undergo uterus transplantations ahead of adoption and surrogacy with no statistically significant differences found between groups. Overall, more than one‐half (58%) would prefer deceased over living donor.ConclusionsThe results of this survey indicate that uterus transplantation is desired by most women who would benefit from the procedure, including those with either Morris syndrome or absolute uterine factor infertility. This was also the preferred option for motherhood if absolute uterine factor infertility was diagnosed among surveyed infertility patients or women of childbearing age with no known reproductive difficulties. Overall, most respondents indicated a deceased donor was preferable to a living donor and that patients may not be sufficiently aware of potential risks of uterus transplantation, highlighting the importance of adequate counseling by medical providers.
Daily social comparisons among women in midlife with elevated risk for cardiovascular disease: A within‐person test of the identification/contrast model
Authors: Baga Kiri , Salvatore Gabrielle M. , Bercovitz Iris , Mogle Jacqueline A. , Arigo Danielle 
Published: May 2024

AbstractWomen age 40–60 are disproportionately affected by health problems that increase their risk for cardiovascular disease (CVD; e.g. hypertension). Social comparisons (i.e. self‐evaluations relative to others) are known to influence health in this and other groups, but their nature and consequences in daily life are poorly understood. We conducted an ecological momentary assessment study over 10 days (5x/day) with 75 women ages 40–60 who had ≥1 CVD risk conditions (MAge = 51.6 years, MBMI = 34.0 kg/m2). Using a mix of frequentist and Bayesian analytic approaches, we examined characteristics of women's naturally occurring comparisons and tested predictions from the Identification/Contrast Model within‐person (e.g. identifying with an upward target results in positive affect, whereas contrasting results in negative affect). Comparisons occurred at 21% of moments, with considerable within‐person variability in response. In line with predictions from the Identification/Contrast Model, women were more likely to experience positive affect after upward identification or downward contrast and more likely to experience negative affect after upward contrast or downward identification, though observed nuances warrant additional consideration. Overall, findings support the Identification/Contrast Model to describe women's comparison experiences as they occur in daily life. Future work should determine pathways between the immediate consequences of comparisons and longer‐term health outcomes.
Incremental value of myocardial global longitudinal strain in predicting major adverse cardiac events among patients with hypertrophic cardiomyopathy
Authors: Zhuang Haiming , Yang Kai , Zhao Shihua , Wu Jinlin , Xu Nan , Zhang Li , Qi Xiaoling , Zhang Mo , Song Lei , Pang Kunjing 
Published: May 2024

AbstractObjectivesEndocardial global longitudinal strain (endo‐GLS) measured with echocardiography (echo) has been demonstrated to be associated with myocardial fibrosis (MF) and is a prognostic predictor in patients with hypertrophic cardiomyopathy (HCM). Late gadolinium enhancement cardiac magnetic resonance (LGE‐CMR) imaging showed that MF is primarily located in the myocardial layer of the extremely hypertrophic septal or ventricular wall. We hypothesized that GLS of the myocardial layer (myo‐GLS) is more strongly correlated with the extent of LGE (%LGE) and is a more powerful prognostic factor than endo‐GLS.MethodsA total of 177 inpatients (54.0 [IQR: 43.0, 64.0] years, female 37.3%) with HCM were retrospectively included from May 2019 to April 2021. Among them, 162 patients underwent echocardiographic examination and contrast‐enhanced CMR within 7 days. Myo‐GLS and %LGE were blindly assessed in a core laboratory. All the patients were followed after they were discharged.ResultsDuring a mean follow‐up of 33.77 [IQR 30.05, 35.40] months, 14 participants (7.91%) experienced major adverse cardiac events (MACE). The MACE (+) group showed lower absolute endo‐GLS and myo‐GLS than the MACE (‐) group. Myo‐GLS was more associated with %LGE (r = ‐.68, P < .001) than endo‐GLS (r = ‐.64, P < .001). Cox multivariable analysis indicated that absolute myo‐GLS was independently associated with MACE (adjusted hazard ratio = .75, P < .05). Myo‐GLS was better than endo‐GLS at detecting MACE (+) patients (‐8.64%, AUC .939 vs. ‐ 16.375%, AUC .898, P < .05).ConclusionsMyo‐GLS is a stronger predictor of MACE than endo‐GLS in patients with HCM and is highly correlated with %LGE.
The emergence of double entry bookkeeping
Authors: Sangster Alan 
Published: May 2024

AbstractDouble entry account books of medieval Italian merchants and bankers have been extensively used as primary sources by historians of several disciplines interested in business, trade, commodities, markets, sources, prices, interest rates, exchange rates, tariffs, taxes, wages, rents, agents, networks, and many other related topics. The reason for the emergence of such a detailed bookkeeping method is unknown. This paper presents a critical analysis of entries in a ledger of Florentine moneychanger‐bankers from 1211. Comparison with later examples confirms that this ledger portrays a method of bookkeeping embracing double entries that transformed into entity‐wide double entry bookkeeping by the end of the thirteenth century. Following consideration of the socio‐political, economic, legal, and commercial environment of the period and place in which it was used in 1211, the origin of this bookkeeping method is attributed to northern Italian moneychanger‐bankers in the twelfth century. Their bookkeeping method addressed the evidential demands of multiple legal systems relating to use of credit necessitated by a lack of sufficient quality coinage in circulation to support the growing and expanding regional markets of northern Italy.
Prediction of nitrogen, active carbon, and organic carbon‐to‐clay ratio in agricultural soils by in‐situ spectroscopy
Authors: Metzger Konrad , Bragazza Luca 
Published: May 2024

AbstractVisible and near‐infrared (vis–NIR) spectroscopy is a promising technology for the analysis of different soil quality parameters. In this study, we used in‐situ vis–NIR spectroscopy in association with partial least squares regression to predict the total and the mineral (nitrate + ammonium) nitrogen content, the permanganate oxidizable carbon (POXC), as well as the ratio of soil organic carbon‐to‐clay content in different agricultural soils in Switzerland. These parameters can indeed be used as indicators of soil quality in response to agronomic practices. To this goal, a total number of 134 soil samples were used for carbon‐, total nitrogen‐ and clay‐related parameters, whereas 69 soil samples were used for the mineral nitrogen‐related parameters. We found that the partial least squares regression model can successfully predict the total nitrogen and the POXC content as well as the ratio of soil organic carbon‐to‐clay content (ratio of performance to interquartile range, RPIQ > 2.62, R2 > 0.73, Lin's concordance correlation coefficient > 0.83). As concerns the mineral nitrogen, it was not possible to successfully predict this parameter by vis–NIR spectroscopy. By demonstrating the possibility to reliably predict POXC content and the soil organic carbon‐to‐clay ratio, we show that vis–NIR can be also used to analyse soil parameters associated with both the quality of organic carbon and the structural quality of agricultural soils.
Leveraging YOLOv5s with optimization‐based effective anomaly detection in pedestrian walkways
Authors: Shaik Allabaksh , Basha Shaik Mahaboob 
Published: May 2024

AbstractCurrently, video surveillance is generally used to safeguard safety in public places like railway stations, traffic signals, malls, and so on. Video anomaly recognition and localization are the main components of the intelligent video surveillance method. Video anomaly recognition refers to the procedure of spatiotemporal localization of the abnormal design existing in the video. A main task in video surveillance is the classification of anomalies that occur in it like thefts, crimes, and so forth. Also, anomaly recognition in pedestrian walkways has enlarged major attention among the computer vision (CV) groups to improve pedestrian protection. The current developments in Deep Learning (DL) methods have great attention to dissimilar procedures like image classification, object recognition, and so forth. This study designs an Optimal Deep Learning for Effective Anomaly Detection in Pedestrian Walkways (ODL‐EADPW) model. The ODL‐EADPW technique employs a fine‐tuned DL model for the identification of pedestrians and anomalies in the walkways. In the ODL‐EADPW technique, the image pre‐processing is primarily involved in two stages median filtering (MF) based noise removal and adaptive histogram equalization (AHE)‐based contrast enhancement. For anomaly detection in pedestrian walkways, the ODL‐EADPW technique uses the YOLOv5s model with EfficientRep as a backbone network. To enhance the detection results of the ODL‐EADPW technique, a stochastic gradient descent (SGD) optimizer was employed to perfect the hyperparameters of the EfficientRep model. The performance evaluation of the ODL‐EADPW methodology is implemented on the UCSD Anomaly detection dataset. An extensive comparison study stated that the ODL‐EADPW technique gains effectual detection results over other DL models in terms of different measures.
Secondhand consumption: A systematic literature review and future research agenda
Authors: Gilal Faheem Gul , Shaikh Abdul Rehman , Yang Zhiyong , Gilal Rukhsana Gul , Gilal Naeem Gul 
Published: May 2024

AbstractSecondhand purchasing, once associated primarily with financially marginalized individuals driven by economic necessity, has now emerged as a popular choice even among affluent consumers with sustainability concerns. This significant shift in consumer behavior underscores the urgent need for a comprehensive review that consolidates the fragmented literature on secondhand consumption, integrating its theoretical foundations and intellectual structure. In response to this imperative, our research, utilizing a theory‐context‐characteristics‐methodology framework, fills this critical gap and sets a pioneering precedent as the first systematic literature review on this topic. Through a content analysis of 105 publications from 59 journals spanning over three decades, our findings unveil more than 70 influential factors shaping secondhand purchases and consumptions. Moreover, our research illuminates noteworthy trends in theories, contextual considerations, consumer traits, and methodological approaches, offering a holistic view of the past, present, and future thematic developments in secondhand consumption research. Scholars will find these insights invaluable for positioning their future studies. Furthermore, we outline compelling directions for future research, proposing a deeper exploration of consumer values, social influences, advertising appeals, religiosity, and green consumerism to unlock novel avenues for understanding and strengthening consumer motivations for secondhand products. By shedding light on this vibrant and evolving field, our research not only fills a critical void but also paves the way for meaningful contributions to the expanding realm of secondhand consumption.