bluuebunny/crossref_metadata_2025_split huggingface dataset:
An assessment of blockchain academia and news developments: a bibliometric and text-mining analysis
Authors: Shen Chien-Wen , Tran Phung Phi 
Published: October 2023

PurposeThis study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.Design/methodology/approachTo identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.FindingsThe findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.Research limitations/implicationsSince Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.Originality/valueThis study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.
Evaluation method of equivalent initial flaw size and fatigue life prediction of nickel-based single crystal superalloy
Authors: Wen Zhixun , Li Fei , Li Ming 
Published: October 2023

PurposeThe purpose of this paper is to apply the concept of equivalent initial flaw size (EIFS) to the anisotropic nickel-based single crystal (SX) material, and to predict the fatigue life on this basis. The crack propagation law of SX material at different temperatures and the weak correlation of EIFS values verification under different loading conditions are also investigated.Design/methodology/approachA three-parameter time to crack initial (TTCI) method with multiple reference crack lengths under different loading conditions is established, which include the TTCI backstepping method and EIFS fitting method. Subsequently, the optimized EIFS distribution is obtained based on the random crack propagation rate and maximum likelihood estimation of median fatigue life. Then, an effective driving force based on anisotropic and mixed crack propagation mode is proposed to describe the crack propagation rate in the small crack stage. Finally, the fatigue life of three different temperature ESE(T) standard specimens is predicted based on the EIFS values under different survival rates.FindingsThe optimized EIFS distribution based on EIFS fitting - maximum likelihood estimation (MLE) method has the highest accuracy in predicting the total fatigue life, with the range of EIFS values being about [0.0028, 0.0875] (mm), and the mean value of EIFS being 0.0506 mm. The error between the predicted fatigue life based on the crack propagation rate and EIFS distribution for survival rates ranges from 5% to 95% and the experimental life is within two times dispersion band.Originality/valueThis paper systematically proposes a new anisotropic material EIFS prediction method, establishing a framework for predicting the fatigue life of SX material at different temperatures using fracture mechanics to avoid inaccurate anisotropic constitutive models and fatigue damage accumulation theory.
Creating a virtuous circle during a pandemic threat: netizens' resilience via information-induced psychological distance and social media approach
Authors: Lin Chih-An , Hsu Yu-Ming , Chen Homin 
Published: October 2023

PurposeDuring COVID-19 restrictions, people spent more time in cyberspace and consuming health-related information. An increase was also observed in mediated caring messages or health-relevant information sent to one another. This study aims to explore how the information and interactions around COVID-19 can provide a good learning opportunity for public health, specifically related to eHealth literacy and eHealth promotion.Design/methodology/approachWhile mainstream literature has concentrated on experimental designs and a priming effect, this study inspects psychological distance related to a health threat under real-life circumstances. The article adopted a survey approach and utilized PLS-SEM techniques to examine the proposed hypotheses.FindingsResults indicated that whereas closer social support correlates with closer psychological distance and less usage of the social media approach, more substantial COVID-19 impacts were associated with closer psychological distance but greater use of social media. Since both closer psychological distance and social media approach contribute to eHealth literacy, social support from closer and virtual social networks should be embraced but utilized through different routes and for different purposes. The timing of messages but not psychological distance affects people's social media approach, indicating that morning messages should be employed. Moreover, eHealth literacy mediates timing preferences and leads to a preference for eHealth communication earlier in the day. Overall, morning messages create a virtuous circle during a health crisis.Originality/valueThis paper establishes a mechanism of virtuous cycles for eHealth communication during a health threat. Additionally, it bridges existing research gaps by expanding chronopsychology and CLT in the health domain using an empirical approach, a real-life case and an extension of performance regarding information-seeking and utilization.
Successful treatment with baricitinib of linear morphea following the lines of Blaschko mimicking lichen striatus
Authors: Zou Quan , Wei Ruoqu , Yao Zhirong , Li Huaguo 
Published: October 2023

AbstractLinear morphea, also known as linear scleroderma, is a localized form of scleroderma characterized by the presence of lesions that follow a linear distribution pattern. Apart from the typical inflammation and fibrosis of the skin, the linear subtype of morphea often affects underlying structures such as muscles and bones, which can lead to functional limitations. Lichen striatus, a linear inflammatory skin condition, primarily affects children aged 5 to 15 years. Interestingly, both diseases can exhibit lesions that follow the lines of Blaschko. Here we report a case with linear morphea following the lines of Blaschko mimicking lichen striatus in a 4‐year‐old child. This unique case represents the first documented instance of linear morphea exhibiting a precise Blaschko pattern and being successfully treated with baricitinib. The patient received oral baricitinib at a daily dosage of 2 mg for a duration of 1 year, resulting in remarkable improvement. The majority of the lesions softened, and there was no significant disease progression or occurrence of adverse events throughout the treatment period. Recognizing linear morphea at an early stage is of utmost importance in ensuring effective treatment and preventing disfiguring sequelae. Patients suspected of lichen striatus should also be closely followed and linear morphea should be excluded during the follow‐up. The recent breakthrough in the application and the safety of baricitinib in scleroderma is also reviewed.
How Productive Are Economics and Finance PhDs?
Authors: Lan Yihui , Clements Kenneth W. , Chai Zong Ken 
Published: October 2023

AbstractThis article analyses the research productivity of more than 200 individuals in academe with a PhD in economics and finance from (mostly) Australian universities. We find the number of publications accumulates linearly with experience, while citations increase exponentially, pointing to network effects. Panel regressions indicate: (1) the key role of experience in determining research outcomes; (2) the usual quadratic approach substantially under‐estimates the role of diminishing returns to experience; (3) the university where an individual works is mostly unimportant for publications and citations. ‘Prime academic age’, when research has maximum impact, is attained about 11 years after the PhD.
Risk of adverse pregnancy outcomes in twin‐ and singleton‐born women: An inter‐generational cohort study
Authors: Basnet Prativa , Skjærven Rolv , Harmon Quaker E. , Sørbye Linn Marie , Morken Nils‐Halvdan , Singh Aditi , Klungsøyr Kari , Kvalvik Liv Grimstvedt 
Published: October 2023

AbstractObjectiveTo compare the risk of adverse pregnancy outcomes between twin‐born and singleton‐born women. We also evaluated whether in utero exposure to pre‐eclampsia or preterm delivery affected adverse pregnancy outcomes in women's own pregnancies.DesignPopulation‐based cohort study.SettingMedical Birth Registry of Norway 1967–2020.Population9184 twin‐born and 492 894 singleton‐born women during 1967–2005, with their later pregnancies registered during 1981–2020.MethodsData from an individual's birth were linked to their later pregnancies. We used generalised linear models with log link binomial distribution to obtain exponentiated regression coefficients that estimated relative risks (RRs) with 95% confidence intervals (CIs) for associations between twin‐ or singleton‐born women and later adverse pregnancy outcomes.Main outcome measuresPre‐eclampsia, preterm delivery or perinatal loss in twin‐born compared with singleton‐born women.ResultsThere was no increased risk for adverse outcomes in twin‐born compared with singleton‐born women: adjusted RRs for pre‐eclampsia were 1.00 (95% CI 0.93–1.09), for preterm delivery 0.96 (95% CI 0.90–1.02) and for perinatal loss 1.00 (95% CI 0.84–1.18). Compared with singleton‐born women exposed to pre‐eclampsia in utero, twin‐born women exposed to pre‐eclampsia had lower risk of adverse outcomes in their own pregnancies; the aRR for pre‐eclampsia was 0.73 (95% CI 0.58–0.91) and for preterm delivery was 0.71 (95% CI 0.56–0.90). Compared with preterm singleton‐born women, preterm twin‐born women did not differ in terms of risk of pre‐eclampsia (aRR 1.05, 95% CI 0.92–1.21) or perinatal loss (aRR 0.99, 95% CI 0.71–1.37) and had reduced risk of preterm delivery (RR 0.83, 95% CI 0.74–0.94).ConclusionsTwin‐born women did not differ from singleton‐born women in terms of risk of adverse pregnancy outcomes. Twin‐born women exposed to pre‐eclampsia in utero, had a lower risk of pre‐eclampsia and preterm delivery compared with singleton‐born women exposed to pre‐eclampsia.
In what ways are HR analytics and artificial intelligence transforming the healthcare sector?
Authors: Cavanagh Jillian , Pariona‐Cabrera Patricia , Halvorsen Beni 
Published: October 2023

Our Special Issue is focused on the healthcare sector relevant to the Asia Pacific region, including hospitals, aged care facilities, allied health, doctors, nurses, management and administration staff and all services associated with the healthcare industry. There are a range of issues that impact on healthcare including the growing use of health services during the pandemic, emergency situations, complex forms of technology, worker expectations, work intensification, and government reporting requirements. More research needs to be carried out in these issues as well as social policy, the delivery and quality of patient care, gender in the workplace, disability, and management innovation (Cooke and Bartram, 2015; Human Resource Management, 2015, 54, 711). There are high levels of stress due to staff being overworked and experiencing a lack of coping skills (Pariona‐Cabrera et al., 2023; Health Care Management Review, 2023, 48, 42), burnout manifestations through emotional exhaustion (Maslach, 2017; Consulting Psychology Journal: Practice and Research, 2017, 69, 143) which often result in intention to leave (Holland et al., 2019; Applied Nursing Research, 2019, 49, 70; Pariona‐Cabrera, Cavanagh and Bartram, 2020; Journal of Advanced Nursing, 2020, 76, 1581; Shao et al., 2023; Human Resource Management Journal, 2023, 33,187). In Australia, more than 70% of 366,000 nurses working in aged care facilities have reported at least one experience of workplace violence during the previous 12 months including physical and verbal violence from residents, relatives, and visitors (Schablon et al., 2018; International Journal of Environmental Research and Public Health, 2018, 15, 1274). There are too many managers who rely on underdeveloped HR processes and outdated management perceptions to make decisions about the well‐being of healthcare staff. Countries in the Asia‐Pacific region are actively seeking partnership projects and new ways to enhance the performance of healthcare staff and their organisations. We have touched on broad issues here and argue it is possible some of the answers can be found in the use of HR analytics and artificial intelligence (AI).
Hydrodynamic and dissolved oxygen–biochemical oxygen demand transport characteristics at the river confluence in China's largest alluvial plain—A modeling study
Authors: Shen Xia , Wang Kai , Li Sheng , Qing Dengke , Gao Weizheng , Li Dehong , Cao Liwei 
Published: October 2023

AbstractThe Yellow River flows through multiple provinces in China, shaping the North China Plain, the largest alluvial plain in China. As the control node of basin ecological environment, the confluence of Weihe River and Yellow River is deemed as the gateway to North China Plain. In this study, a numerical simulation of the Weihe River–Yellow River confluence is conducted using a 2D hydrodynamic model and a coupled transport model for dissolved oxygen–biochemical oxygen demand. The results show that: (i) The typical flow field with multiple backflow areas is formed at the stagnant area where main stream and tributary converge and abrupt channel change area in different hydrological periods. The spur dike here mainly affects the velocity of the Weihe River outlet. (ii) There is an obvious concentration transition mixing zone downstream of the confluence, and the width of the mixing zone gradually linear increases with the direction of water flow. (iii) The self‐purification ability of the confluence is strongest in dry period, weaker in level period, and weakest in wet period. Water bodies have stronger self‐purification capacity on riverbanks than in the middle, and it is stronger in the upper reaches of Weihe River compared to Yellow River. Lower reaches also have a stronger self‐purification capacity than upper reaches. The study results can serve as a scientific reference for protecting the ecological environment of the Yellow River.
Monitoring of multiple fish species by quantitative environmental DNA metabarcoding surveys over two summer seasons
Authors: Wu Luhan , Osugi Tomonori , Inagawa Takashi , Okitsu Jiro , Sakamoto Shogo , Minamoto Toshifumi 
Published: October 2023

AbstractPeriodic monitoring can provide important information for the protection of endangered fish, sustainable use of fishery resources and management of alien species. Previous studies have attempted to monitor fish using non‐invasive environmental DNA (eDNA) technology, generally employing quantitative PCR to quantify the eDNA concentration. However, the throughput was limited. High‐throughput metabarcoding technology can detect the DNA of multiple species simultaneously in a single experiment but does not provide sufficient quantification. In this study, we applied a quantitative metabarcoding approach to simultaneously quantify the eDNA concentration of an entire fish assemblage in a small reservoir over two summer seasons. Traditional surveys were also conducted to investigate the individuals of fish. The eDNA concentrations were quantified using quantitative metabarcoding, and the fish species detected using this approach were highly consistent with the results of traditional fish monitoring. A significant positive relationship was observed between the eDNA concentration and fish species abundance. Seasonal changes in fish community structure were estimated using eDNA concentrations, which may reveal the activity seasons of different fish. The eDNA concentrations of different fish species peaked at different water temperatures, reflecting the differential responses of fish species to this environmental factor. Finally, by detecting outlier eDNA concentrations, the spawning activities of 13 fish species were estimated, 12 of which were roughly consistent with the current knowledge of fish spawning periods. These results indicate that quantitative eDNA metabarcoding with dozens of sampling times is useful for the simultaneous ecological monitoring of multiple fish species.
Identification of potential biomarkers associated with meat tenderness in Hanwoo (Korean cattle): An expression quantitative trait loci analysis
Authors: Chung Yoonji , Jang Sun Sik , Kang Dong Hun , Kim Yeong Kuk , Kim Hyun Joo , Chung Ki Yong , Choi Inchul , Lee Seung Hwan 
Published: October 2023

AbstractMeat tenderness is considered the most important trait contributing to beef quality, level of consumer satisfaction, willingness to pay premium prices and industry profit. Genomic selection method would be helpful for genetic improvement of traits with low heritability and that are difficult to measure. The identification of core genes can aid genomic selection for complex traits with low heritability that are difficult to measure. We performed statistical analysis of associations between longissimus dorsi muscle tenderness and gene expression in 20 Hanwoo cattle, using Warner–Bratzler shear force and RNAseq data, respectively. We found a total of 166 core genes, from which six (ASAP1, CAPN5, ELN, SUMF2, TTC8 and MGAT4A) were regulated by 16 cis‐expression quantitative trait loci (eQTL) SNPs. Notably, we found that a cis‐eQTL SNP of the ELN gene contained an MFZ‐1 binding site in its putative promoter region. These findings provide useful information for genomic prediction of beef tenderness in Hanwoo cattle.
Exploring the intersection of sexual identity and route of administration in relation to cannabis use among young adult females
Authors: Ehlke Sarah J. , Fitzer Samantha A. , Shipley Jennifer L. , Braitman Abby L. 
Published: October 2023

AbstractBackground and ObjectiveRates of cannabis use continue to increase with sexual minority women (SMW) reporting greater use than heterosexual women. Along with these increasing trends, the routes of administration (ROA) for cannabis are evolving. The current study examined associations between cannabis ROA and frequency of use, as well as differences across sexual identity (heterosexual vs. SMW).MethodsParticipants were 949 young adult (18–25 years old) women (29.8% SMW) who reported past month cannabis use and were recruited through Amazon Mechanical Turk. Number of cannabis use days and each ROA used (joint, pipe, blunt, bong, vape, edible, and ointment) in the past 30 days were measured. Analysis of covariance models examined if sexual identity moderated the association between each ROA and cannabis use frequency.ResultsAmong the full sample, joints were the most common ROA (78.6%); cannabis vaping was the most common noncombustible ROA (25.9%). SMW were more likely than heterosexual women to use each ROA except for joints. SMW who used pipes or edibles reported greater cannabis use frequency, compared to those who did not; there were no differences in frequency of use across ROA for heterosexual women.Discussion and ConclusionsSMW may use a greater variety of ROA, potentially increasing the harms associated with cannabis. Marketing strategies targeting the sexual minority community may increase the likelihood of using various cannabis ROA and subsequent use.Scientific SignificanceFindings further our knowledge about how young adult women are using cannabis, and highlight how ROA may contribute to the disparities observed among SMW.
Cover crops, crop insurance losses, and resilience to extreme weather events
Authors: Aglasan Serkan , Rejesus Roderick M. , Hagen Stephen , Salas William 
Published: October 2023

AbstractThis study investigates whether cover crop adoption reduces extreme‐weather‐related crop insurance losses. To achieve this objective, we utilize a county‐level panel data set with information on cover crop adoption acres, crop insurance losses (i.e., specifically due to drought, excess heat, or excess moisture), and a number of weather variables. The data cover the main row crop production region in the Midwestern United States (US) for the period 2005 to 2018. We utilize linear fixed effects econometric models and a number of robustness checks in the empirical analysis (i.e., a fractional regression approach, two “external‐instrument‐free” estimation procedures, and a variety of alternative empirical specifications). The estimation methods used take advantage of the panel nature of the data to address various specification and endogeneity issues. We find evidence that counties with higher cover crop adoption tend to have lower crop insurance losses due to drought, excess heat, or excess moisture. Our analysis also indicates that cover crops likely have stronger loss mitigation effects against excess moisture events (like floods) and somewhat weaker loss mitigation impacts against droughts and excess heat. Nonetheless, our results overall suggest that cover crops can enhance resilience to extreme weather events and have the potential to be an effective climate change adaptation strategy in US agriculture.
Letter: Detecting unreported alcohol consumption in patients with NAFLD—Standardisation is urgent
Authors: Feng Gong , Fouad Yasser , Zheng Ming‐Hua 
Published: October 2023

LINKED CONTENTThis article is linked to Magherman et al papers. To view these articles, visit https://doi.org/10.1111/apt.17388 and https://doi.org/10.1111/apt.17738