bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic multi-attribute grey target group decision model based on quantum-like Bayesian networks
Authors: Zhang Na , Wang Haiyan , Gong Zaiwu 
Published: December 2023

PurposeGrey target decision-making serves as a pivotal analytical tool for addressing dynamic multi-attribute group decision-making amidst uncertain information. However, the setting of bull's eye is frequently subjective, and each stage is considered independent of the others. Interference effects between each stage can easily influence one another. To address these challenges effectively, this paper employs quantum probability theory to construct quantum-like Bayesian networks, addressing interference effects in dynamic multi-attribute group decision-making.Design/methodology/approachFirstly, the bull's eye matrix of the scheme stage is derived based on the principle of group negotiation and maximum satisfaction deviation. Secondly, a nonlinear programming model for stage weight is constructed by using an improved Orness measure constraint to determine the stage weight. Finally, the quantum-like Bayesian network is constructed to explore the interference effect between stages. In this process, the decision of each stage is regarded as a wave function which occurs synchronously, with mutual interference impacting the aggregate result. Finally, the effectiveness and rationality of the model are verified through a public health emergency.FindingsThe research shows that there are interference effects between each stage. Both the dynamic grey target group decision model and the dynamic multi-attribute group decision model based on quantum-like Bayesian network proposed in this paper are scientific and effective. They enhance the flexibility and stability of actual decision-making and provide significant practical value.Originality/valueTo address issues like stage interference effects, subjective bull's eye settings and the absence of participative behavior in decision-making groups, this paper develops a grey target decision model grounded in group negotiation and maximum satisfaction deviation. Furthermore, by integrating the quantum-like Bayesian network model, this paper offers a novel perspective for addressing information fusion and subjective cognitive biases during decision-making.
Healthcare digitalisation and its association with quality and employee health, a mixed-methods study
Authors: Qvarfordt Maria , Lagrosen Stefan 
Published: December 2023

PurposePrevious research has identified associations between quality management and employee health. This study's purpose was to (1) examine those associations in a public healthcare organisation and (2) explore and describe the association between digitalisation and employee health.Design/methodology/approachAn online questionnaire including indices to measure quality management values, employee health and digitalisation was answered by 118 managers in Swedish public healthcare. Correlation analysis was used to analyse the data. Based on the survey results, 12 qualitative, in-depth interviews were conducted with healthcare managers.FindingsThe findings show that employee health is associated with quality management and digitalisation. Categories were defined to describe the managers' views of the relationship between digitalisation and health.Research limitations/implicationsCausality was not explicitly tested and cannot be assumed. However, the results strengthen the body of research showing that quality management is related to employee health, and associations between health and digitalisation were identified.Practical implicationsThe findings and model should be helpful for healthcare managers in a digitalising environment who aim to preserve or enhance employee health whilst ensuring high service quality.Originality/valueThe results were used to create an integrated conceptual model depicting the association between quality, digitalisation and health. This association has not previously been studied.
Critical datafication literacy – a framework for educating about datafication
Authors: Sander Ina 
Published: November 2023

Purpose
In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches – media literacy, the German “(politische) Bildung” and Freirean “critical pedagogy” – and empirical analyses of online educational resources about datafication.

Design/methodology/approach
The study interconnects theoretical analyses with an empirical mixed methods investigation that includes expert interviews with creators of online educational resources about datafication and a qualitative survey with educators interested in teaching about data technologies.

Findings
The research identified novel findings on the goals of resource creators and educators, such as a focus on empowering and emancipatory approaches, fostering systemic understanding of datafication and encouraging collective action. Such perspectives are rare in existing critical data literacy conceptualisations but show resemblance to traditional education scholarship. This highlights how much can be learnt from practitioners and from these more established educational approaches. Based on these findings, a framework for critical datafication literacy is suggested that aims for systemic understanding of datafication, encouraging critical thinking and enabling learners to make enlightened choices and take different forms of action.

Originality/value
The study is unique in its interconnection of theoretical and empirical research, and it advances previous research by suggesting a grounded framework for critical datafication literacy.
What drives customers to use virtual fitting rooms? The moderating effect of fashion consciousness
Authors: Zhang Wenkun , Wang Yanan 
Published: November 2023

PurposeDespite significant advances in previous work, there are still gaps in the research on customers' acceptance of virtual fitting rooms (VFRs). This research aims to highlight the effects of the characteristics of VFRs on the intention to use.Design/methodology/approachFashionable clothing shoppers in Harmony Shopping Plaza and Ginza Shopping Plaza in Jinan, China, were chosen as the main sample. A total of 304 valid questionnaires were collected using a questionnaire QR code, which was scanned to access the questionnaire. Structural equation modeling was used to test the relevant hypotheses.FindingsThe results showed that customers' usage intention (UI) was positively associated with perceived efficiency, design and perceived security. Furthermore, the mediating effects of perceived ease of use and perceived usefulness were significant between design, vividness and UI.Originality/valueIn contrast to existing research, which focuses primarily on the posterior effects of psychological perception and behavior, this paper focuses on the antecedents of customer psychological perceptions. This study also examines the moderating effect of fashion consciousness, which also provides reference value for future research. The findings of this paper provide practical guidance for the promotion of VFRs.
Moderate size diversity of tree roots has largest effect on the carbon loss in tropical soils
Authors: Chen Deyun , Xia Shangwen , Li Sicheng , Ding Xiaoyue , Zhang Shuting , Chen Hong , Wu Jianping 
Published: December 2023

Abstract

Most studies focused on the above‐ground diversity on leaf litter decomposition and soil respiration in tropical ecosystems, however, the mechanism understanding of root diversity on decomposition is still unclear.

We selected the fine‐roots of 21 dominant tree species from a tropical rainforest in Xishuangbannan, China, then conducted a 360‐day and well‐replicated (21 replications) incubation decomposition experiment with a 0, 1, 3, 6, 9, 12, 15, 18 and 21 species gradient of root diversity. The fine‐root mass loss, CO2 release, and their potential drivers were analysed.

The results showed that as fine‐root diversity increased, soil properties, microbial diversity and fungal biomass changed nonlinearly, leading to higher litter mass loss and soil CO2 release in the moderate diversity with 9, 12 and 15 species mixtures. Non‐additive effect analysis also indicated that synergistic effects were greater in these three mixtures than others on soil CO2 release and litter mass loss. The indirect effects of soil properties and microbial communities were larger than the direct effect of fine‐root diversity.

Our findings suggest that fine‐root diversity has nonlinear relationships with litter decomposition and soil CO2 release in tropical forests, thus highlighting the importance of plant diversity due to its role in the carbon cycle under global change scenario.

Read the free Plain Language Summary for this article on the Journal blog.
For and against climate capitalism
Authors: Webber Sophie 
Published: November 2023

AbstractThis paper starts from the point that our current political‐economic‐climate conjuncture demands new engagements at the dynamic interface of climate capitalism. Using two cases of climate capitalist responses to climate challenges, I demonstrate the reparative potentials that emerge from the tensions and ambiguities that typify that conjuncture. In the first case, I examine financialised climate infrastructure in Jakarta, Indonesia, that promises to protect the city from flooding while enriching city elites, but against which diverse social movements and collectives have organised. The second case is about a cooperative energy provider in Australia, operating on the terrain of a neoliberalised electricity market and climate change, and working towards multifaceted repair by collectivising and redistributing surplus and modelling democratic engagement. Those involved in these vastly different cases both pursue repair and reparations through climate capitalist projects by reckoning with historical and present climate debts while constructing forward‐looking programs. As such, they chart the first steps towards reparative climate futures.
Using artificial intelligence to create diverse and inclusive medical case vignettes for education
Authors: Bakkum Michiel J. , Hartjes Mariëlle G. , Piët Joost D. , Donker Erik M. , Likic Robert , Sanz Emilio , de Ponti Fabrizio , Verdonk Petra , Richir Milan C. , van Agtmael Michiel A. , Tichelaar Jelle 
Published: November 2023

AbstractAimsMedical case vignettes play a crucial role in medical education, yet they often fail to authentically represent diverse patients. Moreover, these vignettes tend to oversimplify the complex relationship between patient characteristics and medical conditions, leading to biased and potentially harmful perspectives among students. Displaying aspects of patient diversity, such as ethnicity, in written cases proves challenging. Additionally, creating these cases places a significant burden on teachers in terms of labour and time. Our objective is to explore the potential of artificial intelligence (AI)‐assisted computer‐generated clinical cases to expedite case creation and enhance diversity, along with AI‐generated patient photographs for more lifelike portrayal.MethodsIn this study, we employed ChatGPT (OpenAI, GPT 3.5) to develop diverse and inclusive medical case vignettes. We evaluated various approaches and identified a set of eight consecutive prompts that can be readily customized to accommodate local contexts and specific assignments. To enhance visual representation, we utilized Adobe Firefly beta for image generation.ResultsUsing the described prompts, we consistently generated cases for various assignments, producing sets of 30 cases at a time. We ensured the inclusion of mandatory checks and formatting, completing the process within approximately 60 min per set.ConclusionsOur approach significantly accelerated case creation and improved diversity, although prioritizing maximum diversity compromised representativeness to some extent. While the optimized prompts are easily reusable, the process itself demands computer skills not all educators possess. To address this, we aim to share all created patients as open educational resources, empowering educators to create cases independently.
Genetic identification of familial hypercholesterolemia within whole genome sequences in 6820 newborns
Authors: Zhou Yingchao , Luo Gang , Zhang Ai , Gao Shuai , Tang Yaqi , Du Zhanhui , Pan Silin 
Published: November 2023

AbstractFamilial hypercholesterolemia (FH) is defined as a monogenic disease, characterized by elevated low‐density lipoprotein cholesterol (LDL‐C) levels. FH remains underdiagnosed and undertreated in Chinese. We whole‐genome sequenced 6820 newborns from Qingdao of China to investigate the FH‐related gene (LDLR,APOB,PCSK9) mutation types, carrier ratio and genotype–phenotype correlation. In this study, the prevalence of FH in Qingdao of China was 0.47% (95% CI: 0.32%–0.66%). The plasma lipid levels of FH‐related gene mutation carriers begin to increase as early as infant. T‐CHO and LDL‐C of FH infants was higher by 48.1% (p < 0.001) and 42.9% (p < 0.001) relative to non‐FH infants. A total of 22 FH infants and their parent participate in further studies. The results indicated that FH infant parent noncarriers have the normal plasma lipid level, while T‐CHO and LDL‐C increased in FH infants and FH infant parent carriers, but no difference between the groups. This highlights the importance of genetic factors. In conclusion, the spectrum of FH‐causing mutations in the newborns of Qingdao, China was described for the first time. These data can serve as a considerable dataset for next‐generation sequencing analysis of the Chinese population with FH and potentially helping reform regional policies for early detection and prevention of FH.
Primary cutaneous marginal zone lymphoproliferative disorder following COVID‐19 vaccination
Authors: Stephan Carla , Barone Paul , Kim Jeanyoung , Ma Linglei 
Published: November 2023

AbstractDuring the coronavirus disease 2019 (COVID‐19) pandemic, COVID‐19 vaccines were administered worldwide. A number of skin reactions, including primary cutaneous T‐cell lymphoproliferative disorders (LPDs) were reported following COVID‐19 vaccination. We report a case of primary cutaneous marginal zone lymphoproliferative disorder (PCMZLPD) secondary to COVID‐19 vaccination. A 57‐year‐old man presented with an erythematous nodule on his left arm at the site of vaccine inoculation following his first dose of the Moderna (mRNA‐1273) vaccine a few weeks prior. The nodule continued to progress in size after the second dose. A skin biopsy specimen of the nodule showed a diffuse dermal infiltrate of small to medium‐sized lymphocytes with plasma cells and histiocytes. The infiltrate was composed of CD3+ T cells with CD20+ and CD79a+ B cells. The neoplastic B cells reacted with BCL‐2 and were negative for BCL‐6 and CD10. Kappa light chain restriction was identified by in situ hybridization. Gene rearrangement studies revealed kappa light chain monoclonality, confirming the diagnosis of PCMZLPD. The temporal association with the Moderna vaccination and the occurrence of the lesion at the inoculation site indicate a COVID‐19 vaccination‐induced PCMZLPD. This is one of the rare cases of PCMZLPD following COVID‐19 vaccination.
Small biochar particles added to coarse sandy subsoil greatly increase water retention and affect hydraulic conductivity
Authors: Bruun E. W. , Ravenni G. , Müller‐Stöver D. , Petersen C. T. 
Published: November 2023

AbstractSandy soils can benefit greatly from the addition of biochar, but the benefits depend on the properties of both the soil and the biochar. This study investigated the role of biochar particle size in controlling pore size distribution, hydraulic conductivity and water retention after careful mixing with coarse sandy subsoil. Intact commercial pellets of straw biochar (SB; approx. 8 × 5 mm) and ground pellets separated into 6 size fractions (median diameter 15, 33, 44, 81, 135 and 205 μm) were investigated at two concentrations (1.50 and 3.00 wt%). The results were compared with effects obtained with another feedstock (wood; WB) and another soil. Light microscopy and water retention measurements showed that smaller biochar particles settled into large existing soil pores, creating smaller interstitial pores to a much greater extent than larger particles. Accordingly, small particles (≤44 μm) had large enhancing effects on water retention and hydraulic conductivity in the medium suction range (pF1.7‐pF3.0), which were not found to a similar extent after the addition of larger particles (>81 μm). It was not possible to systematically distinguish the effects obtained with the three smallest particle fractions (SB15, WB18 and SB33). All effects measured were greatest at the highest biochar concentration level. In one soil, amendment with 3.00 wt% of SB15 decreased the fractional volume of drainable pores with an equivalent diameter of ≥60 μm from 31.3 vol% in the control to 19.1 vol%, while increasing the volume of pores in the 0.2–60 μm range that could potentially retain plant‐available water from 8.7 vol% to 20.1 vol%. Hydraulic conductivity at pF1.7 was increased by a factor of 10 (from 2.3 to 22.5 cm/day) and at pF3.0 by a factor of 14 (from 0.1*10−3 to 1.4*10−3 cm/day). Similar effects were observed in the other soil but at slightly different levels. The PDI version of the bimodal van Genuchten model was successfully fitted to measured water retention and log‐transformed hydraulic conductivity data (RMSE values in the interval 0.0011–0.0029 and 0.024–0.215, respectively). Dynamic simulation under variable field conditions including the hydraulic properties of biochar‐amended soil layers could be a useful method to investigate the effects on crop water supply, water and fertilizer utilization and yields.
The effect of allyl isothiocyanate addition on consumers' saltiness perception
Authors: Amyoony Jamal , Gorman Mackenzie , Dabas Tanvi , Moss Rachael , McSweeney Matthew B. 
Published: December 2023

SummaryAllyl isothiocyanate (AITC), a chemical irritant, through cross‐modal interactions, may impact the human perception of tastes and odours. Currently, new strategies are being explored to reduce the salt content present in foods, without impacting their sensory appeal. AITC may be able to increase the saltiness perception of salt‐reduced foods. As such, the objective was to first determine the detection threshold of AITC, and then evaluate its cross‐modal interaction with saltiness in model solutions and soup. The study included ninty participants. The basic tastes and burning sensation of model solutions were evaluated using general labelled magnitude scales. The soups were evaluated using hedonic and intensity scales, as well as temporal check‐all‐that‐apply (TCATA). The group mean of the individual threshold was 0.123 mg/100 mL. The AITC increased the saltiness perception of the model solutions but also suppressed the sweetness. The AITC also increased the saltiness perception of the soup during both the static and dynamic evaluation, but it also added other flavours to the soup including metallic, bitter and sour. The AITC decreased the overall liking and liking of the soup's flavour.
Ad hoc decisions as latent strategies: How do firms use nonstandard employment contracts?
Authors: Bouwhuis Stef , Pavlopoulos Dimitris , Garnier‐Villarreal Mauricio , Smits Wendy 
Published: November 2023

AbstractWe derive a typology of firms regarding how they use non‐standard contracts, using register data. We find that 58% of firms fit the core‐periphery model. They use non‐standard contracts differently for low‐skilled and high‐skilled employees. The other firms use non‐standard contracts similarly for different groups of employees.
Clinical harm reduction in substance use: An ethics‐oriented primer and critique for hospital‐based providers
Authors: Kontos Nicholas , Rao Vinod 
Published: November 2023

AbstractAims and ObjectivesSubstance use‐targeted harm reduction (HR) has successfully expanded from public health into clinical settings. Hospital‐based providers are in positions to encounter, precipitate and/or mediate ethically fraught situations that can arise around clinical HR‐informed interventions. We examine why these situations occur and how they might be better addressed.MethodLiterature focused on principles, ethics, and clinical implementation of HR are reviewed to identify core elements of this approach. Next, ethical vulnerabilities within those elements are identified and critiqued. A more productive discourse for acknowledging, voicing and addressing ethical dilemmas in HR is sought.ResultsPublic health orientation and humane concern for substance users, along with a strong anti‐stigmatization mission and occasional aversion to a rigid medical model and ‘establishment’ contributed to HR's successes but can also frame any dissent over its methods as being stigma‐fuelled. Practically distilled concepts from moral philosophy and the medical humanities can inform good faith discussions based on common‐ground concern for patients.ConclusionHR's use in the general hospital and other clinical settings is a positive development, but one that brings with it new ethical demands. Broader knowledge of the principles of HR, of the application of those principles to the hospital setting, and of common‐ground concepts from outside of HR could help facilitate productive ethical engagement around substance‐using patients.
Ascorbic acid encapsulation by complex coacervation of kappa carrageenan and calcium caseinate pretreated by high‐power ultrasound
Authors: Pérez‐Cortés M. , Ruiz‐Espinosa H. , Rojas‐López M. , Amador‐Espejo G. G. 
Published: November 2023

AbstractEncapsulation by coacervation has received interest in the last few years because of its low cost. Ultrasound (US) processing has proven to be an adequate technology for protein denaturation, increasing coacervation yield. There is a lack of information regarding its effects on encapsulation yield. The aim of this work was to evaluate the effect of US treatments on calcium caseinate (CaCN)–kappa carrageenan (KC) coacervates and the improvements in encapsulation efficiency (EE) of ascorbic acid (AA). US‐treatments (50% and 100% amplitude, 2 and 4 min) were applied to a 2% CaCN solution. Caseinate solution was mixed with a soy oil–AA (25%) W/O emulsion to form a second emulsion W/O/W. Finally, the second emulsion was employed for complex coacervation with KC (2% solution). The results showed a 10% increase in EE in the US‐treatments, with better stability and release profiles compared to the control. Sonication proved to be effective for coacervation improvement.Practical ApplicationsUltrasound pretreatment of calcium caseinate for coacervation along with kappa carrageenan showed an increase in the coacervation yield. This result was mainly attributed to the structural protein modification obtained after ultrasound (US) treatment. These coacervates can be employed to encapsulate bioactive compounds, such as ascorbic acid (AA), which is one of the most labile vitamins. In this sense, the US application leads to increases in encapsulation efficiency (around 10%) with a better stability and release profile than the capsules without treatment. These results create an opportunity to encapsulate AA and use the capsules in systems with a wide range of pH, increasing the chances of having functional products on the market.