bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep-learning-based white matter lesion volume in CT is associated with outcome after acute ischemic stroke
Authors: van Voorst Henk , Pitkänen Johanna , van Poppel Laura , de Vries Lucas , Mojtahedi Mahsa , Martou Laura , Emmer Bart J. , Roos Yvo B.W.E.M. , van Oostenbrugge Robert , Postma Alida A , Marquering Henk A. , Majoie Charles B.L.M. , Curtze Sami , Melkas Susanna , Bentley Paul , Caan Matthan W.A. 
Published: March 2023

AbstractBackgroundIt remains unclear if deep-learning-based white matter lesion (DL-WML) volume can predict outcome after ischemic stroke.PurposeWe aimed to develop, validate, and evaluate DL-WML volume in NCCT as a risk factor and IVT effect modifier compared to the Fazekas scale (WML-Faz) in patients also receiving EVT in an EVT-capable center.MethodsA deep-learning model for WML segmentation in NCCT was developed and validated internally and externally. The volumetric correspondence of DL-WML volume per mL was reported relative to expert annotation with the intraclass correlation coefficient (ICC) and a Bland-Altman analysis reporting bias and limits of agreement (LoA). In a post-hoc analysis of the MR CLEAN No-IV trial, univariable and multivariable regression models were used to report (un)adjusted common odds ratios ([a]cOR) to associate DL-WML volume and WML-Faz with the occurrence of symptomatic-intracerebral hemorrhage (sICH) and 90-day functional outcome with the modified Rankin Scale (mRS).ResultsDL-WML volumes were comparable with those of the ground truth for both the internal test set (10/20(50%) male, age median:72[IQR:67-85], ICC mean:0.91 95%CI:[0.87;0.94];bias:-3mL LoA:[-12mL;7mL]) and the external test set (36/101(36%) male, age median:59[IQR:42-73], ICC mean:0.87 95%CI:[0.71;0.95];bias:-2mL LoA:[-11mL;7mL]). 516 patients from the MR CLEAN No-IV trial (291/516(56%) male, age median:71 IQR:[62-79],) were analyzed. Both DL-WML volume and WML-Faz were associated with sICH (DL-WML volume acOR:1.31 95%CI[1.08;1.60], WML-Faz acOR:1.53 95%CI[1.02;2.31]) and mRS (DL-WML volume acOR:0.84 95%CI[0.76;0.94], WML-Faz acOR:0.73 95%CI[0.60;0.88]). Only for the unadjusted analysis, WML-Faz was an IVT effect modifier (p=0.046), DL-WML was not (p=0.274).ConclusionDL-WML volume and WML-Faz had a similar relationship with functional outcome and sICH.Summary statementDeep-learning-based white matter lesion volume in non-contrast CT can substitute human ratings to prognosticate symptomatic intracerebral hemorrhage and functional outcome at 90-days in acute ischemic stroke patients.Key pointsThis was the first study to show that white matter lesion volume in non-contrast CT based on deep-learning segmentations (DL-WML volume) was associated with symptomatic intracerebral hemorrhages and a worse functional outcome.Compared to the Fazekas scale, regression models using DL-WML volume had a similar fit to the data.White matter lesion load might be associated with more symptomatic intracerebral hemorrhages if IVT was given before EVT.
Who does the fairness in health AI community represent?
Authors: Alberto Isabelle Rose I. , Alberto Nicole Rose I. , Altinel Yuksel , Blacker Sarah , Binotti William Warr , Celi Leo Anthony , Chua Tiffany , Fiske Amelia , Griffin Molly , Karaca Gulce , Mokolo Nkiruka , Naawu David Kojo N. , Patscheider Jonathan , Petushkov Anton , Quion Justin , Senteio Charles , Taisbak Simon , Tırnova İsmail , Tokashiki Harumi , Velasquez Adrian , Yaghy Antonio , Yap Keagan 
Published: March 2023

ABSTRACTOBJECTIVEArtificial intelligence (AI) and machine learning are central components of today’s medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of the members of academia whose scholarship poses questions about the fairness of AI.METHODSThe articles that combine the topics of fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and data extraction from the articles were done manually and cross-checked by another author for accuracy. 375 articles were selected for further analysis, cleaned, and organized in Microsoft Excel; spatial diagrams were generated using Public Tableau. Additional graphs were generated using Matplotlib and Seaborn. The linear and logistic regressions were analyzed using Python.RESULTSWe identified 375 eligible publications, including research and review articles concerning AI and fairness in healthcare. When looking at the demographics of all authors, out of 1984, 794 were female, and 1190 were male. Out of 375 first authors, 155 (41.33%) were female, and 220 (58.67%) were male. For last authors 110 (31.16%) were female, and 243 (68.84%) were male. In regards to ethnicity, 234 (62.40%) of the first authors were white, 103 (27.47%) were Asian, 24 (6.40%) were black, and 14 (3.73%) were Hispanic. For the last authors, 234 (66.29%) were white, 96 (27.20%) were Asian, 12 (3.40%) were black, and 11 (3.11%) were Hispanic. Most authors were from the USA, Canada, and the United Kingdom. The trend continued for the first and last authors of the articles. When looking at the general distribution, 1631 (82.2%) were based in high-income countries, 209 (10.5 %) were based in upper-middle-income countries, 135 (6.8%) were based in lower-middle-income countries, and 9 (0.5 %) were based in low-income countries.CONCLUSIONSAnalysis of the bibliographic data revealed that there is an overrepresentation of white authors and male authors, especially in the roles of first and last author. The more male authors a paper had the more likely they were to be cited. Additionally, analysis showed that papers whose authors are based in higher-income countries were more likely to be cited more often and published in higher impact journals. These findings highlight the lack of diversity among the authors in the AI fairness community whose work gains the largest readership, potentially compromising the very impartiality that the AI fairness community is working towards.
Staff views on reflective practice groups in an inpatient assessment and treatment unit for people with intellectual disabilities
Authors: Green Corinne , Cappleman Reed 
Published: March 2023

Purpose
Although it is recommended that reflective practice groups (RPGs) are used to support staff in inpatient intellectual disability (ID) services, there is to date no research on their effectiveness or how staff perceive RPGs in these settings. This paper aims to evaluate staff perceptions of the RPGs in an assessment and treatment unit for people with ID and to ascertain the nature of any barriers for staff in attending the group.

Design/methodology/approach
Thirteen staff completed questionnaires ascertaining their views on the purpose, process and impact of the RPG run within the service. Questionnaires included a version of the clinical supervision evaluation questionnaire (CSEQ; Horton et al., 2008) adapted for this context and a questionnaire designed by the authors examining barriers to attending the group.

Findings
Staff responses indicated that they valued the group and perceived it as improving their clinical practice and their self-awareness. Staff did not always perceive group sessions as having clear aims and did not perceive the group as enhancing their well-being or their awareness of gaps in their skills. RPGs may be most effective if they form part of a service-wide approach to staff support and development.

Originality/value
To the best of the authors’ knowledge, this is the first evaluation of RPGs in inpatient ID services. The adapted CSEQ was found to be an easily implemented method of evaluating RPGs in an inpatient ID setting.
Income inequality, shadow economy and environmental degradation in Africa: quantile regression via moment’s approach
Authors: Dada James Temitope , Ajide Folorunsho M. , Arnaut Marina 
Published: March 2023

PurposeThe purpose of this examine the impact of income inequality and shadow economy on environmental degradation given the growing income inequality, shadow economy and ecological degradation in developing countries. Thus, this study is motivated to offer empirical insight into how income inequality and shadow economy influence the environment in African countries.Design/methodology/approachData from 29 countries in Africa between 2000 and 2017 were used, while the novel method of moments quantile regression of Machado and Silva (2019) and Dumitrescu and Hurlin (D-H) (2012) granger causality is used as the estimation techniques.FindingsThe results established the presence of cross-sectional dependence and slope heterogeneity in the panel, while Westerlund panel cointegration confirmed the long-run cointegration among the variables. The results from the quantile regression suggest that income inequality increases environmental degradation from the 5th to the 30th quantiles, while from the 70th quantiles, income inequality reduces ecological degradation. The shadow economy negatively influences environmental degradation across the quantiles, strengthening environmental quality. Per capita income (economic growth) and financial development positively impact environmental degradation throughout the quantiles. However, urbanization reduces environmental degradation from 60th to 95th quantiles. The D-H causality established a two-way relationship between income inequality and environmental degradation, while one-way from shadow economy, per capita income and urbanization to environmental degradation were established.Originality/valueThis study provides fresh insights into the nexus between shadow economy and environmental quality in the presence of higher levels of income inequality for the case of African region. The study applies quantile analysis via moment proposed by Machado and Silva (2019). This technique shows that the impact of income inequality and shadow economy on environmental degradation is heterogeneous across the quantiles of ecological footprints in Africa.
Quality, expenditure, and loyalty in a cultural event: a longitudinal study
Authors: Bringas-Rábago Nora L. , Toudert Djamel 
Published: March 2023

Purpose
The impact of event quality on expenditure and visitors’ loyalty has been an issue seldom analyzed by festival literature. These same incidental relations were not assessed from a temporary perspective in the case of recurrent cultural events. This paper aims to explore these causal relationships and to report on the moderation effect of the temporary inquiry on the editions of the festival.

Design/methodology/approach
Nine hypotheses were examined through squares SEM techniques, and the model validation was carried out by assessing the measurement and structural model. In addition, a multi-group analysis was performed to test the temporary moderation effect. Finally, a survey was applied during three successive editions (2013 = 164 cases, 2014 = 154 cases, 2015 = 128 cases).

Findings
The local and ephemeral nature of the festival favors immediate consumption, and the budget share increase among categories passes through diversification to stimulate purchases. In this particular context, the moderation induced by the sequence of editions had a conclusive impact on the analyzed relationships, generating the need to focus on the temporary variability to understand and operate the recurrent events.

Originality/value
The strengthening of the festival went through a stage where it opened to other segments of visitors despite the dominant opinion to preserve the local character of the event. In addition, this study clarifies that a retrospective analysis of previous editions, when compared to the stationarity perspective of the festival, allows a better understanding of the required upgrading to preserve visitor loyalty.
How CSL Biotech became a global player: getting ahead of the competition
Authors: Ward Mark P. , Osiyevskyy Oleksiy 
Published: March 2023

Purpose
This paper aims to examine the role strategic problem identification and resolution played in identifying and capturing new sources of competitive advantage as CSL Limited (CSL) transformed itself into the world’s fifth-largest biotechnology company. Historical accounts of superior business growth are usually explained by looking back to identify a firm’s sources of competitive advantage. However, what managers really want to know is how to identify opportunities to create and capture competitive advantage ahead of competitors.

Design/methodology/approach
The authors examined CSL’s journey between 1994 and 2019 through a case study approach and the lens of the problem-identification and problem-solving perspective (PSP). The PSP assumes strategic problems act as antecedents to discovering and capturing new sources of competitive advantage. The problems a firm identifies and resolves influences whether or not, in what direction and for whom an organization creates value.

Findings
The authors provide examples of the strategic problems CSL identified and how they acted as the catalyst to proactively identify new sources of competitive advantage. The formulated problems helped manager to see in advance what resources, capabilities and governance mechanisms would be required to create and capture value.

Originality/value
Generalizing the lessons learned, the authors propose a business-problem classification framework and portfolio approach to encourage managers to identify, formulate and resolve different types of strategic problems. These problems could motivate firms to tackle problems beyond which they have successfully tackled before and discover new sources of competitive advantage ahead of competitors.
Exploring the impact of innovation intensity on the growth of female-led entrepreneurial firms
Authors: Arcuri Maria Cristina , Gandolfi Gino , Russo Ivan 
Published: March 2023

PurposeThe purpose of this article is to investigate the relationship between gender, innovation and growth in Italian innovative start-ups.Design/methodology/approachThis is a quantitative study based on a sample of more than 4,600 Italian innovative start-ups. In order to ascertain whether female-led firms that invest more in innovation grow more than their male-led counterparts, sales growth is analysed through a fixed-effects regression over the period 2015–2019. Propensity score matching is also used to check for potential selection bias.FindingsResults reveal that innovation is crucial for start-up growth and, most importantly, that female entrepreneurs exploit the potential of innovative activities for their firm’s growth better than their male peers.Originality/valueThe results provide important evidence on the link between gender and innovation and how these two elements interact for the growth of firms in their early life. Results also provide insights for policymakers to use in designing programs for promoting female entrepreneurship and participation in science.
The effects of video storytelling advertising on consumers’ online reactions on Facebook: a cross cultural study
Authors: Ben Aicha Abir , Bouzaabia Rym 
Published: March 2023

Purpose
This study aims to understand how digital storytelling advertising impacts online consumers’ responses towards advertisements on Facebook considering the different story features and the different consumers’ cultural backgrounds.

Design/methodology/approach
The grounded theory approach guided the development of this study that adopts an interpretivist positioning with an abductive approach that links the already existing knowledge on how storytelling affects consumer behaviour to the empirically retrieved data from two qualitative studies between France and Tunisia using a netnographic method to collect consumers’ responses to culturally adapted storytelling advertising.

Findings
The results reveal similarities and differences between Tunisian and French consumers regarding the effectiveness of digital storytelling advertising in influencing their cognitive, affective, and behavioural responses. Specifically, Tunisian consumers tended to hold more cognitive reactions originating from story plot and characters features as compared to French consumers who performed more affective responses towards the story plot feature. Interestingly, only French consumers performed behavioural reactions aligned with a cognitive and behavioural engagement with the storytelling advertising generated by story plot and verisimilitude elements. Findings also highlight the impact of some cultural influences on consumers’ reactions.

Originality/value
To the best of the authors’ knowledge, this is the first known study to explore and compare the effects of digital storytelling advertising between Tunisia and France. The major contribution of this study lies in investigating and comparing consumers’ reactions to digital storytelling advertising across countries. This study adds to the body of literature on international marketing communication by offering two frameworks associating story’s elements with their outcomes in their relevant context and providing fruitful insights for future research and for brand managers to design effective storytelling content.
A study on characteristic indexes of railway ballast bed under high-frequency radar
Authors: Wang Shilei , Peng Zhan , Liu Guixian , Qiang Weile , Zhang Chi 
Published: March 2023

PurposeIn this paper, a high-frequency radar test system was used to collect the data of clean ballast bed and fouled ballast bed of ballasted tracks, respectively, for a quantitative evaluation of the condition of railway ballast bed.Design/methodology/approachBased on original radar signals, the time–frequency characteristics of radar signals were analyzed, five ballast bed condition characteristic indexes were proposed, including the frequency domain integral area, scanning area, number of intersections with the time axis, number of time-domain inflection points and amplitude envelope obtained by Hilbert transform, and the effectiveness and sensitivity of the indexes were analyzed.FindingsThe thickness of ballast bed tested at the sleep bottom by high-frequency radar is up to 55 cm, which meets the requirements of ballast bed detection. Compared with clean ballast bed, the values of the five indexes of fouled ballast bed are larger, and the five indexes could effectively show the condition of the ballast bed. The computational efficiency of amplitude envelope obtained by Hilbert transform is 140 s·km−1, and the computational efficiency of other indexes is 5 s·km−1. The amplitude envelopes obtained by Hilbert transform in the subgrade sections and tunnel sections are the most sensitive, followed by scanning area. The number of intersections with the time axis in the bridge sections was the most sensitive, followed by the scanning area. The scanning area can adapt to different substructures such as subgrade, bridges and tunnels, with high comprehensive sensitivity.Originality/valueThe research can provide appropriate characteristic indexes from the high-frequency radar original signal to quantitatively evaluate ballast bed condition under different substructures.
How does eliminating mercury from artisanal and small‐scale gold mining lead to achieving sustainable development goals?
Authors: Lara‐Rodríguez Juan Sebastián , Fritz Morgane M. C. 
Published: March 2023

AbstractArtisanal and small‐scale gold mining (ASGM) is the principal anthropogenic activity that globally contributes to overloading our environment with mercury. Although the Minamata Convention, led by the United Nations, is a crucial instrument to eliminate its use progressively, novel approaches to accelerate this difficult transition are welcome. This article proposes a framework for policy‐making or improvement, fostering the enforcement of mercury elimination through the lens of the 17 Sustainable Development Goals (SDGs), focusing on the excluded artisanal and small‐scale gold miners and their dependents. We move forward with a literature review of the Artisanal and Small Mining topic, taking each SDG as a unit of analysis. Understanding the problem as a puzzle of four sets of pieces, namely: (1) social, (2) environmental, (3) economic, and (4) institutional, the paper offers potential opportunities for the decision‐makers and practitioners to accelerate the substitution of this heavy metal and develop sustainable futures for the ASGM communities. We conclude by proposing a pragmatic framework that synthesizes the means, actions, and ends to accelerate a sustainable transition.
Development of FE modeling for hybrid greenhouse dryer for potato chips drying
Authors: Kumar Lalan , Prakash Om 
Published: March 2023

AbstractIn this communication, a combination of heat and mass transfer model was developed using finite element (FE) model to explain the drying performance of the hybrid greenhouse dryer for potato chips. The hybrid greenhouse dryer is integrated with a single‐pass solar air heater (SAH). A partial differential equation for a combined set of heat and mass transfer was numerically solved by the FE method. In order to see the spatial moisture distribution within the potato sample, a 3‐dimensional FE model was created, and moisture removal takes place from the surface during drying of the products. Lagrange triangle FEs of extremely small size and second‐order geometry shape were employed for meshing the geometry of model. Time‐dependent study was express the fluctuation in time interval of 0–5 h. The developed model showed the maximum crop and ground temperature are 67.1 and 79.1°C, respectively. Moisture ratio in dry basis is reduced from 1 to 0.005 in 03 h and remains constant at 0.005. Thus, average moisture ratio in dry basis was found as 0.18902. Drying efficiency for the hybrid greenhouse dryer found to be 20.52%, whereas thermal efficiency for SAH was found 54.53%. Relative humidity inside the drying chamber found to be 26.50% in hybrid greenhouse dryer. The predicted versus the experimental results observed that hybrid greenhouse dryer having moderate inside temperature is suitable for crop drying as well as ith sustaining the environmental balance, hybrid greenhouse proves to be most effective.
Spondyloarthritis and nonbacterial thrombotic endocarditis as paraneoplastic manifestations in treatment‐naive Burkitt lymphoma
Authors: Wang Ching‐Yun , Lee Hsiang‐Chun , Lin Ren‐Jie , Tsai Jih‐Jin 
Published: March 2023

AbstractNon‐radiographic axial spondyloarthropathy (nr‐axSpA) is a clinical diagnosis of symptoms matching inflammatory back pain criteria without radiological lesions at the sacroiliac joint. The frequency of an early nr‐axSpA‐like presentation in lymphoma patients has not been clarified. Here we report a woman in her 20s with a fever and musculoskeletal discomfort. Detailed investigations revealed that she was suffering from Burkitt lymphoma in which nr‐axSpA‐like symptoms were a musculoskeletal manifestation of the disease, irrelevant to the anti‐neoplastic treatment.