bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profiling ranked list enrichment scoring in sparse data elucidates algorithmic tradeoffs
Authors: Wenzel Alexander T. , Jun John , Liefeld Ted , Tamayo Pablo , Mesirov Jill P. 
Published: June 2024

AbstractGene Set Enrichment Analysis (GSEA) is a method for quantifying pathway and process activation in groups of samples, and its single sample version (ssGSEA) scores activation using mRNA abundance in a single sample. GSEA and ssGSEA were developed for “bulk” samples rather than individual cell technologies such as microarrays and bulk RNA-sequencing (RNA-seq) data. The growing use of single cell RNA-sequencing (scRNA-seq) raises the possibility of using ssGSEA to quantify pathway and process activation in individual cells. However, scRNA-seq data is much sparser than RNA-seq data. Here we show that ssGSEA as designed for bulk data is subject to some amount of score uncertainty and other technical issues when applied to individual cells from scRNA-seq data. We also show that a ssGSEA can be applied robustly to “pseudobulk” aggregate groups of a few hundred to a few thousand cells provided appropriate normalization is used. Finally, in comparing this approach to other ranked list enrichment methods, we find that the UCell method is most robust to sparsity. We have made the aggregate cell version of ssGSEA available as a Python package and GenePattern module and will also modularize UCell for use on GenePattern as well.
Comprehensive evaluation of digital technology's effects on the supply chain of prefabricated construction
Authors: Kwok Tai Wai , Chang SiWei 
Published: June 2024

PurposeDigital technology, which is regarded as a prominent and transformational force in modern society, encompasses a wide variety of technology that utilize digital data to process, store and transfer various types of information. Digital technologies have continually been introduced as cutting-edge information tools in order to achieve effective management of vast information that arises from the prefabrication supply chain. However, without a sufficient performance evaluation, drawbacks of technology investment, such as financial losses and ineffective resource allocation, keep occurring, which hinders the widespread implementation of digital technologies. This study demonstrates a comprehensive evaluation of digital technologies’ effects on the prefabrication supply chain based on multi-criteria decision analysis (MCDA) theory.Design/methodology/approachSpecifically, the targeted digital technologies and project constraints were first identified through a systematic literature review. The effects of the digital technologies were then scored using a questionnaire survey. The TOPSIS model was established to quantitatively rank the effectiveness of selected digital technologies.FindingsOverall, BIM technology shone out in the rankings and is regarded as the most beneficial digital solution by multi-stakeholders to the existing constraints, such as working efficiency. Collaboration patterns between different stakeholders and technology integration trend were also indicated.Originality/valueCompared with existing outcomes, this study specifically focused on examining the effects of digital technologies on the prefabrication supply chain, the most significant link in the process for prefabricated structures. New findings indicate the overall performance that considered both multi-stakeholders’ preferences and project constraints. The quantitative evaluation presents a comprehensive understanding of digital technologies’ effects, enabling industrial participants to reach well-informed, strategic and profitable investment decisions.
Employee motivation and professional burnout as impacts of organizational culture on medical institutions
Authors: Pauliene Rasa , Kasnauskiene Gindrute , Raudone Odeta , Liubauskiene Vaida , Vrontis Demetris 
Published: June 2024

Purpose
This study aims to examine the impact of organizational culture of medical institutions on employee motivation and professional burnout, with occupation (i.e. doctor, nurse and administration employee) being a moderator.

Design/methodology/approach
A quantitative method (survey) was used for this study in Lithuania (EU), with a sum of 235 fulfilled questionnaires being obtained online. IBM SPSS software was used for statistical analysis and testing hypotheses.

Findings
The research results reveal that organizational culture is significantly related to both employee motivation and professional burnout in Lithuanian medical institutions. Moreover, theoretical and executive implications highlight the requisite role of and manner in which organizational culture and employee motivation can reduce employee turnover, retain talent, limit employee burnout and overall strengthen the design and implementation of long-term human resource management planning.

Social implications
This research delineates, explicates and directs crucial aspects of medical institutions’ effective functioning, a concern of even the most developed nations, as health sector performance, individually, organizationally and collectively, is a natural principal factor of social well-being and health.

Originality/value
Further and unique to the extant research, the authors analyzed specific organizational interactions, which revealed different statistical relationships between organizational culture and doctors’, nurses’ and administration employees’ overload, lack of development and neglect. The authors, thus, identified that organizational culture does not have a statistically significant impact on neglect of doctors, nurses and administration employees; however, it does significantly influence overload and lack of development in all respondents’ groups.
Unraveling the factors that influence connectedness and relationship performance with augmented reality apps
Authors: Nadeem Waqar , Alimamy Saifeddin , Ashraf Abdul R. 
Published: June 2024

PurposeAugmented reality (AR) technology presents novel opportunities for marketers to captivate consumers, enhancing their experiences with brands. Although recent research underscores consumers' favorable responses to AR within retail contexts, there remains a paucity of studies examining the specific factors motivating these responses, i.e. reasons for, such as the appeal of entertainment, trendiness, customization, interaction and augmentation quality. Conversely, reasons against AR acceptance, such as perceived lack of realism, skepticism or perceived deception, are also underexplored.Design/methodology/approachGuided by the behavioral reasoning theory, the current study delves into consumers' personal values and beliefs, their reasons for and reasons against using AR apps and how these factors influence their engagement and relationship performance with AR apps. The data were collected from 343 AR app users to test the developed theoretical framework.FindingsResults reveal that while perceived value compatibility does not influence reasons for using AR apps, it negatively influences reasons against using AR apps and positively influences connectedness to AR apps. Interestingly, openness to change does not significantly influence users’ connection to AR apps, and no association was found between reasons-against and connectedness to AR apps and relationship performance. However, a positive relationship was observed between users’ connectedness to AR apps and their relationship performance.Originality/valueBy offering these insights, this study contributes to a foundational understanding of the behavioral intricacies and dynamic interaction patterns within the rapidly emerging AR user base.
Testing the determinants of job satisfaction among police administrative officers in Taiwan
Authors: Lin ChiaHung , Zhao Jihong 
Published: June 2024

PurposeThe current paper aims to provide insights into the determinants associated with job satisfaction among police administrative (personnel) officers in Taiwan, especially both internal organizational predictors and unique external predictors related to the Chinese cultural context.Design/methodology/approachData were gathered from police administrative officers across major and medium-sized police agencies in Taiwan. Multiple regression models were employed to analyze the relationship between both internal factors to the organization (e.g. workplace fairness, supervisor support, self-efficacy) and external factors (related to traditional Chinese culture and its expectations) and job satisfaction.FindingsThe external factors of work-family life balance and financial benefits are strong predictors, emphasizing the cultural significance of family harmony and financial stability in Taiwanese society. This finding challenges the prevailing notion in the literature that the primary source of job satisfaction among police officers is derived from internal organizational factors. Collectively, the findings concluded the multi-faceted determinants of job satisfaction among administrative officers in Taiwan, intertwining both individual and internal organizational factors with broader external cultural influences.Practical implicationsThis study investigated the job satisfaction among administrative officers who play a key role in a police department. The findings showed that external factors exert a significant impact on job satisfaction. This offers a new frontier to examine job satisfaction among not only administrative officers but also patrol officers in Taiwan and Asian countries. In addition, training courses can be developed and focus on work-family relations when officers are off duty.Originality/valueWhile previous research has extensively explored job satisfaction among police officers in various roles and countries, by integrating internal organizational and external predictors, this study pioneers the focus on “police administrative officers” within Taiwanese police agencies.
Unveiling the synergy: entrepreneurial effectuation and alliance-driven SME diversification
Authors: Alam Md. Nur , Masroor Imtiaz , Nabi Md. Noor Un , Dornberger Utz 
Published: June 2024

Purpose
Internationalisation is a complex and uncertain process for small and medium-sized enterprises (SMEs), characterised by challenges such as limited resources, lack of international experience and uncertainty in foreign markets. This study aims to explore the impact of entrepreneurial effectuation on the diversification of products and market expansion. Additionally, it examines the mediating role of alliance capabilities in this relationship.

Design/methodology/approach
This study developed five hypotheses based on an extensive and relevant literature review. Data were collected using nonprobability judgemental and snowball sampling techniques from 202 software exporting firms in Bangladesh to measure the relationship. Data collected from the survey were then analysed using partial least squares-structural equation modelling.

Findings
The results of this study show that all five hypotheses developed in this study are supported. This study found a positive impact of entrepreneurial effectuation on product and market diversification. Study results also show that alliance capabilities mediate the relationship between entrepreneurial effectuation and product and market diversification.

Research limitations/implications
In the face of internationalisation uncertainties, SMEs use effectual decision-making logic and form strategic alliances to enhance their competitive positions. This research contributes to understanding how SMEs use effectuation in navigating international markets and expanding their product portfolios and market reach.

Originality/value
This study pioneers a mediation approach to explore the relationship between entrepreneurial effectuation, alliance capabilities and diversification in SME internationalisation. Examining the interplay of decision-making logic and collaborative ventures, this study offers insights into the complexities of SME internationalisation in uncertain environments.
Bayesian linearized amplitude variation with offset and azimuth inversion and uncertainty analysis in horizontal transversely isotropic media
Authors: Pan Xinpeng , Liu Zhishun , Wang Pu , Huang Lei , Liu Jianxin 
Published: June 2024

AbstractThe stratum can be modelled as a horizontal transversely isotropic medium when a single set of vertically parallel fractures embedded in an isotropic background medium, which facilitates efficient study for fractured reservoirs. Elastic parameters and fracture weaknesses are important parameters to describe the characteristics of fractured reservoirs, and seismic inversion plays a significant role in parameters estimation. The commonly used deterministic inversion methods do not fully utilize the prior information and fails to present the uncertainty analysis of inversion results. To address these shortcomings, we propose a Bayesian linearized amplitude variation with offset and azimuth inversion method tailored for horizontal transversely isotropic media, enabling a more robust analysis of uncertainty. Within the framework of Bayesian inversion, the proposed method successfully derives analytical expressions for the posterior mean and covariance of both elastic parameters and fracture weaknesses. The response characteristics of the anisotropic reflection coefficient are analysed, and it is found that the perturbations of elastic parameters have a greater effect on reflection coefficient compared to fracture weaknesses. Synthetic data examples confirm that the accuracy of estimated P‐ and S‐wave velocities and density surpasses that of fracture weaknesses, and the proposed method still performs well for the case of moderate noise. A field data example demonstrates that the inverted profiles agree well with the logging curve, and the estimated fracture weaknesses display significantly high values in the reservoir area. The estimated reservoir parameters not only contribute to a more accurate representation of the fractured gas‐bearing reservoir but also provide insights into the target gas reservoir through its posterior distribution. Both synthetic and field data examples demonstrate the stability and reliability of the proposed method in characterizing fractured reservoirs. We determine that the proposed method provides an available tool for nuanced evaluation of uncertainty for the inversion results, and it is helpful for the fine description of fractured hydrocarbon‐bearing reservoirs.
Programming Style: Suggested Guidelines for Writing Code
Authors: Hirschberg Joe , Lye Jenny 
Published: June 2024

AbstractSince computer code has become elemental in current research it has become imperative that code should be written clearly and in good style. A program written in a clear, well‐written style is easier to debug and is more useful to those who may want to replicate your work, extend it, speed it up or borrow from it. Clearly, written code is also a useful tool in the training of future researchers. In this paper, we suggest a set of style guidelines and we provide examples of how particular elements of code can be done using the statistical packages Stata, SAS and R. We also present recommendations for how to write code.
HERITAGIZATION AS AN AUTHORITARIAN URBAN PRACTICE IN CHINA: Insights from Lijiang
Authors: Mascaro Giorgia 
Published: June 2024

AbstractHeritage preservation practices continue to be adopted as a tool to promote the regeneration of historic areas in China. Taking the experience of the Old Town of Lijiang (Dayan) as its starting point, this essay considers heritagization both as a process of gentrification and as an authoritarian urban practice that operates behind the regeneration process, contributing to the transformation of historic neighbourhoods into objects of display. It focuses particularly on the role played by local state actors and heritage regulations, showing how the construction and rearrangement of space as a form of ‘ordering’ serves the dominant classes, thus legitimizing the transformation of Lijiang and directly shaping people's lives. Finally, following recent accounts of gentrification led by historic preservation, the essay reflects on the ways in which heritage discourses and participatory‐like practices may be deployed to legitimize gentrification and hinder various forms of resistance at the local level.
Just a head knock? Emergency physicians need to get serious about concussion
Authors: Pearce Alan J , Wirth Peter , Fitts Michelle 
Published: June 2024

AbstractAttention and awareness regarding concussion injury in Australia have significantly increased in the last decade. Although most of this increase is because of discussion regarding concussions from sporting endeavours, the majority of concussions are from non‐sport environments including motor vehicle crashes, workplace incidents, falls, accidents, assault and intimate partner violence. In all cases, hospital EDs are the first point of contact, yet as argued in our Opinion here, there are concerns regarding the consistency of care protocols, because of a number of reasons, as well as management and follow‐up clinical practices. Our Opinion is to provide a constructive discussion as well as calling for ACEM to support research to provide evidence‐based data. Finally, we provide some recommendations that could be implemented immediately to improve clinical practice for presentations of concussion injuries in EDs.
Analysis and authentication of avocado oil by low‐field benchtop NMR spectroscopy and chemometrics
Authors: Tang Fenfen , Banker Thomas , Green Hillary S. , Wang Selina C. , Hatzakis Emmanuel 
Published: June 2024

AbstractAvocado oil is a nutritious, edible oil produced from avocado fruit. It has high commercial value and is increasing in popularity, thus powerful analytical methods are needed to ensure its quality and authenticity. Recent advancements in low‐field (LF) NMR spectroscopy allow for collection of high‐quality data despite the use of low magnetic fields produced by non‐superconductive magnets. Combined with chemometrics, LF NMR opens new opportunities in food analysis using targeted and untargeted approaches. Here, it was used to determine poly‐, mono‐, and saturated fatty acids in avocado oil. Although direct signal integration of LF NMR spectra was able to determine certain classes of fatty acids, it had several challenges arising from signal overlapping. Thus, we used partial least square regression and developed models with good prediction performance for fatty acid composition, with residual prediction deviation ranging 3.46–5.53 and root mean squared error of prediction CV ranging 0.46–2.48. In addition, LF NMR, combined with unsupervised and supervised methods, enabled the differentiation of avocado oil from other oils, namely, olive oil, soybean oil, canola oil, high oleic (OL) safflower oil, and high OL sunflower oil. This study showed that LF NMR can be used as an efficient alternative for the compositional analysis and authentication of avocado oil.Practical ApplicationHere, we describe the application of LF‐NMR for fatty acid analysis and avocado oil authentication. LF‐NMR can be an efficient tool for targeted and untargeted analysis, thus becoming an attractive option for companies, regulatory agencies, and quality control laboratories. This tool is especially important for organizations and entities seeking economic, user‐friendly, and sustainable analysis solutions.
Spatial patterns of roadkill within Ankarafantsika National Park, Madagascar
Authors: Ramsay Malcolm S. , Mercado Malabet Fernando , Ravelonjanahary Hajanirina N. , Razafindrakoto Andriamahery , Lehman Shawn M. 
Published: June 2024

AbstractWildlife‐vehicle collisions can be a significant cause of mortality for animals with ranges that overlap roads. Not all species are equally affected by roads and thus conservation practitioners need empirical data to determine appropriate mitigation measures. However, there is a lack of data on how tropical animals, in particular those on the island of Madagascar, are affected by roads and vehicular mortality. In order to fill in this gap in the literature we investigated the ecological and spatial factors influencing roadkill observations along Route National 4 in Ankarafantsika National Park, Madagascar. We observed 80 cases of roadkill along the highway belonging to at least 13 species, including the first published record of a lemur as roadkill. We also found that the density of roadkill was lower in the area between two speedbumps, suggesting these are an effective measure to mitigate wildlife‐vehicle collisions. These results showcase that even within protected areas of Madagascar animals are at risk of vehicular mortality but mitigation measures are possible. Given the high rates of endemicity coupled with vulnerability to extinction of many Malagasy fauna there is an urgent need for more research on road ecology in Madagascar.
Ascertainment of Aboriginal and Torres Strait Islander status for assessment of perinatal health outcomes: Reported versus derived maternal ethnicity in Western Australian pregnancy data
Authors: Berman Ye'elah E. , Newnham John P. , Ward Sarah V. , Brown Kiarna , Doherty Dorota A. 
Published: June 2024

BackgroundUnder‐identification of Aboriginal and Torres Strait Islander (hereafter referred to as Aboriginal) people can result in inaccurate estimation of health outcomes. Data linkage has improved identification of Aboriginal people in administrative datasets.AimTo compare three methods of ascertainment of Aboriginal status using only pregnancy data from the Western Australian Midwives Notification System (MNS), to the linked Indigenous Status Flag (ISF) derived by the Department of Health.Materials and MethodsThis retrospective population‐based cohort study utilised logistic regression to determine which demographic characteristics were associated with under‐identification, and the effect of ascertainment method on perinatal adverse outcomes.ResultsAll methods identified a core group of 19 017 (83.0%) Aboriginal women and the ISF identified 2298 (10.0%) women who were not identified using any other method. Under‐ascertainment was lowest when a woman's Aboriginal status was determined by ever being recorded as Aboriginal in the MNS data, and highest when taken as it had been recorded for the birth in question. Maternal age <20 years, smoking during pregnancy, pre‐existing diabetes, a history of singleton preterm birth and being in the lowest 20% of Socio‐Economic Indexes for Areas score were all associated with a higher chance of being identified by the methods using only the MNS. These methods were less likely to identify nulliparous women, and those with maternal age ≥35 years. The method of ascertainment of Aboriginality did not make a significant difference to the adjusted predicted marginal probabilities of adverse perinatal outcomes.ConclusionUnlinked pregnancy data can be used for epidemiological research in Aboriginal obstetric populations.