bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conformational variability of cyanobacterial ChlI, the AAA+ motor of magnesium chelatase involved in chlorophyll biosynthesis
Authors: Shvarev Dmitry , Scholz Alischa Ira , Moeller Arne 
Published: April 2023

AbstractMagnesium chelatase is a conserved enzyme complex responsible for the first committed step of chlorophyll biosynthesis in photosynthetic organisms, which is the addition of magnesium to the chlorophyll precursor, protoporphyrin IX. The complex is composed of the catalytic subunit ChlH, the bridging subunit ChlD, and the subunit ChlI, which serves as the motor that drives the entire complex. Although the enzyme is well-characterized functionally, high-resolution structures are available only for individual subunits. Hence, the full assembly and the molecular mechanism of the enzyme complex remains unknown. Here, we used cryo-EM, supported by biochemical analysis and mass photometry, to determine structures of the ChlI motor subunit of magnesium chelatase under turnover conditions in the presence of ATP. Our data reveal the molecular details of ChlI oligomerization and conformational dynamics upon ATP binding and hydrolysis. These findings provide new insights into the mechanistic function of ChlI and its implications for the entire magnesium chelatase complex machinery.
Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference
Authors: Tolley Nicholas , Rodrigues Pedro L. C. , Gramfort Alexandre , Jones Stephanie 
Published: April 2023

AbstractBiophysically detailed neural models are a powerful technique to study neural dynamics in health and disease with a growing number of established and openly available models. A major challenge in the use of such models is that parameter inference is an inherently difficult and unsolved problem. Identifying unique parameter distributions that can account for observed neural dynamics, and differences across experimental conditions, is essential to their meaningful use. Recently, simulation based inference (SBI) has been proposed as an approach to perform Bayesian inference to estimate parameters in detailed neural models. SBI overcomes the challenge of not having access to a likelihood function, which has severely limited inference methods in such models, by leveraging advances in deep learning to perform density estimation. While the substantial methodological advancements offered by SBI are promising, their use in large scale biophysically detailed models is challenging and methods for doing so have not been established, particularly when inferring parameters that can account for time series waveforms. We provide guidelines and considerations on how SBI can be applied to estimate time series waveforms in biophysically detailed neural models starting with a simplified example and extending to specific applications to common MEG/EEG waveforms using the the large scale neural modeling framework of the Human Neocortical Neurosolver. Specifically, we describe how to estimate and compare results from example oscillatory and event related potential simulations. We also describe how diagnostics can be used to assess the quality and uniqueness of the posterior estimates. The methods described provide a principled foundation to guide future applications of SBI in a wide variety of applications that use detailed models to study neural dynamics.Author summaryA central problem in computational neural modeling is estimating model parameters that can account for observed activity patterns. While several techniques exist to perform parameter inference in special classes of abstract neural models, there are comparatively few approaches for large scale biophysically detailed neural models. In this work, we describe challenges and solutions in applying a deep learning based statistical framework to estimate parameters in a biophysically detailed large scale neural model, and emphasize the particular difficulties in estimating parameters for time series data. Our example uses a multi-scale model designed to connect human MEG/EEG recordings to the underlying cell and circuit level generators. Our approach allows for crucial insight into how cell-level properties interact to produce measured neural activity, and provides guidelines for diagnosing the quality of the estimate and uniqueness of predictions for different MEG/EEG biomarkers.
Immune clustering reveals molecularly distinct subtypes of lung adenocarcinoma
Authors: Lender Yan , Givton Ofer , Bornshten Ruth , Azar Meitar , Moscona Roy , Yarden Yosef , Rubin Eitan 
Published: April 2023

AbstractLung adenocarcinoma, the most prevalent type of non-small cell lung cancer, consists of two driver mutations in KRAS or EGFR. In general, these mutations are mutually exclusive, and biologically and clinically different. In this study, we attempted to find if we could separate lung adenocarcinoma tumors by their immune profile using an unsupervised machine learning method. By projecting RNA-seq data into inferred immune profiles and using unsupervised learning, we were able to divide the lung adenocarcinoma population into three subgroups, one of which appeared to contain mostly EGFR patients. We argue that EGFR mutations in each subgroup are different immunologically which implies a distinct tumor microenvironment and might relate to the relatively high resistance of EGFR-positive tumors to immune checkpoint inhibitors. However, we could not make the same claim about KRAS mutations.Simple SummaryLung adenocarcinoma, the most prevalent type of non-small cell lung cancer, is most commonly driven by mutations in KRAS or EGFR. In this study, we attempted to find if we could separate lung adenocarcinoma tumors by their immune profile using an unsupervised machine learning method. We used established tools to infer the immune profile of each tumor from its RNA-seq and using unsupervised learning, we were able to divide the lung adenocarcinoma population into three subgroups, one of which appeared to contain mostly patients with EGFR mutations. We argue that tumors with EGFR mutations in each subgroup are different immunologically which implies a distinct tumor microenvironment and might relate to the relatively high resistance of EGFR-positive tumors to immune checkpoint inhibitors. However, we could not make the same claim about KRAS mutations.
Accounting, finance and conflict in football arenas
Authors: Adams Andrew , Morrow Stephen , Thomson Ian 
Published: April 2023

PurposeTo provide insights into the role of formal and informal accounts in preventing the liquidation of a professional football club and in post-crisis rebuilding.Design/methodology/approachThis case study, framed as a conflict arena, covers an eight-year period of a high-profile struggle over the future of a professional football club. It uses a mixed methods design, including direct engagement with key actors involved in administration proceedings and transformation to a hybrid supporter-owned organisation.FindingsOur findings suggest that within the arena:• formal accounting and governance were of limited use in managing the complex network of relationships and preventing the abuse of power or existential crises. • informal accounting helped mobilise critical resources and maintain supporters’ emotional investment during periods of conflict. • informal accounts enabled both resistance and coalition-building in response to perceived abuse of power. • informal accounts were used by the Club as part of its legitimation activities.Originality/valueThis study provides theoretical and empirical insights into an unfolding crisis with evidence gathered directly from actors involved in the process. The conceptual framework developed in this paper creates new visibilities and possibilities for developing more effective accounting practices in settings that enable continuing emotional investment from supporters.
Development, use and evaluation of a web based mental capacity assessment tool for staff working with people with learning disabilities
Authors: Dodd Karen , Cheung Sai-Bo , Chapman Ashley 
Published: April 2023

Purpose
This paper aims to describe the development, use and evaluation of a web-based mental capacity assessment tool (MCA WAT) within the Learning Disabilities division of a Mental Health and Learning Disabilities Trust in England.

Design/methodology/approach
The MCA WAT was developed to ensure there was contemporaneous recording of each capacity assessment; help staff improve their knowledge, confidence and satisfaction in completing assessments of capacity; and analyse the number and type of capacity assessments completed. Three questionnaires were developed: a 12-item multiple-choice knowledge questionnaire, a nine-item confidence questionnaire and a 10-item satisfaction questionnaire, which reflect the five core principles of the MCA (2005). Eight-five health and social care staff who were trained to use the MCA WAT and had used it at least once had their scores from pre- and post-use of the questionnaires analysed using Wilcoxon signed-ranks tests. Data on the use of the MCA WAT was analysed.

Findings
Results showed a significant increase in knowledge, confidence and satisfaction from pre- to post-questionnaires. Concerns remain regarding staff understanding of who is the decision maker and the use of communication aids to enhance capacity. These issues are being addressed through training and updating the information boxes in the MCA WAT. The MCA WAT has been used to complete 3,645 capacity assessments over a five-year time scale, covering a wide range of decisions.

Originality/value
This project demonstrates the effectiveness of a contemporaneous method of conducting and recording MCA assessments.
Social determinants of health and health outcomes: a bibliographic review of the scientific literature from 2000 to 2021
Authors: Bhat Aasif Ali , Rashid Irfana , Hassan Samir Ul , Kansra Pooja 
Published: April 2023

Purpose
The purpose of this bibliometric study is to report research output and publications on the social determinants of health and health outcomes. This study condenses numerous studies into a single paper, which not only provides insights into the worldwide growth and advancement of the study field but also establishes a research agenda for the future.

Design/methodology/approach
Using the Scopus database, a thorough bibliometric study of the worldwide scientific output on social determinants of health from 2000 to 2021 was conducted. With the assistance of VOS viewer and R-based scientometric software, the worldwide development of research on social determinants of health was analysed through performance analysis and network map visualisation.

Findings
This study identified the most influential authors, studies, journals and affiliations in the field of social determinants of health, as well as the most co-cited authors and journals, based on a bibliometric analysis of 1,203 research papers retrieved from the Scopus database during the past two decades (2000–2021). Beginning in 2000 with one publication and ending in 2021, 274 articles were viewed online, relevant to the social determinants of health. From 2014 to 2021, publications continue to grow at an accelerating pace.

Originality/value
To the best of the authors’ knowledge, this is one of the first studies to review the social determinants of health and its outcomes. The findings of the chosen studies represent a novel and important addition to the study of social determinants of health. It offers a comprehensive bibliometric analysis of publications, in addition to the identification of vital research trends.
Empirical analysis of open government data usage in Tanzania
Authors: Shao Deo 
Published: April 2023

PurposeDespite the potential benefits of open government data (OGD) and its recent adoption by many governments, little is known about monitoring its use by the public. This paper aims to address the knowledge gap by empirically examining OGD usage in Tanzania.Design/methodology/approachA field survey design was used to gather quantitative data from 288 people in seven regions of Tanzania to facilitate an analysis of the determinants of users’ behavioural intention and use behaviour of OGD. Guided by the Unified Theory of Acceptance and Use of Technology model, the study analysed the tendencies of these determinants on the use of the OGD portal.FindingsThe results show that performance expectancy, effort expectancy, social influence and facilitating conditions affect users’ acceptance and use of the OGD portal. The results suggest that OGD initiatives should focus more on their potential applications than publication. It is important to monitor and evaluate OGD use and the conditions that allow it to continue. By linking OGD with other government initiatives, governments can build strategies, capacity and social awareness. During the development of OGD platforms for extensive reuse, new data technologies like the semantic web should be considered.Originality/valueHitherto, research has underlined the significance of OGD initiatives at large and that studies in developing countries are scarce, especially that probe the uptake of the current efforts. The present study seeks to plug this research gap by examining the use of OGD in Tanzania’s context.
When a dominant certified management standard is replaced: theoretical insights from the American hospital field
Authors: Melnyk Steven Alexander , Ritchie William J. , Stark Eric , Heavey Angela 
Published: April 2023

PurposeDominant quality standards are present in all industries. Implicit in their use is the assumption that once adopted, there is little or no reason to replace them. However, there is evidence that, under certain circumstances, such standards do get replaced. The reasons for this action are not well-understood, either as they pertain to the displacement decision or to the selection and adoption of the alternative standard. The purpose of this study is to identify and explore these two issues (displacement and replacement) by drawing on data from the American healthcare system. This study is viewed through the theoretical lens of legitimacy theory. In addition, the process is viewed from a temporal perspective. The resulting findings are used to better understand how this displacement process takes place and to identify directions for interesting and meaningful future research.Design/methodology/approachThis is an explanatory study that draws on data gathered from quality managers in 89 hospitals that had adopted a new healthcare quality standard (of these, some fifty percent had displaced the dominant quality standard – the Joint Commission – with a different standard – DNV Healthcare.FindingsThe combined literature review and case study data provide insights into the displacement process. This is a process that evolves over time. Initially, the process is driven by the need to meet customer demands. However, over time, as the organizations try to integrate the guidelines contained within the standards into the organization, gaps in the quality standard emerge. It is these gaps that motivate the need to displace standards. The legitimacy perspective is highly effective at explaining this displacement process. In addition, the study uncovers some critical issues, namely the important role played by the individual auditors in the certification process and the importance of fit between the standard and the context in which it is deployed.Research limitations/implicationsThe data for the propositions in this case study were derived from interviews and survey data from 89 healthcare organizations. It would be interesting to examine similar relationships with other quality standards and industries.Practical implicationsOur findings provide new insights related to motivations to decouple from a dominant quality standard. Results provide a cautionary tale for standards that hold a dominant market share such that perceived legitimacy of such standards is not as stable as originally thought.Originality/valueThis study illuminates the fragile nature of the stability of dominant standards and emphasizes the linkages between legitimacy concerns and divestiture of such standards.
How citizen coproducers cope with public value creation conflicts: a survey experiment
Authors: Jaspers Sylke , Migchelbrink Koen 
Published: April 2023

PurposeIn coproduction, citizens may be confronted with a conflict between creating user value and a more collective understanding of public value creation. In order to deal with conflicts experienced as trade-off situations, coproducers follow various coping strategies leading to different results. This study aims to gain insight into what drives the choices for coping strategies, which are valuable for understanding the role of citizen coproducers in public value creation.Design/methodology/approachThis article studies the effects of citizens' external efficacy and trust in public servants on citizen coproducers' preferences for coping strategies. The study presents a vignette experiment among n = 257 citizens involved in the temporary use of vacant spaces in Flanders, Belgium.FindingsNo statistically significant effects of external efficacy and trust in public servants on respondents' preferences for coping strategies are found. The results show that irrespective of the level of external efficacy or trust in public servants, citizen coproducers prefer to ask for help from the public servant involved in the project.Originality/valueThis result draws attention to the need for facilitation and guidance from public servants and the servants' organizations to help citizen coproducers balance out these otherwise paralyzing value conflicts. Moreover, the lack of statistically significant effects of trust and external efficacy is a valuable finding for literature. The result shows that, in the drivers of coproduction behavior, there is no consistent relationship between citizen trust in government or external efficacy and coproduction behavior.
Fractal model of thermal contact conductance of rough surfaces based on elliptical asperity
Authors: Sun Xianguang , Xing Wuce 
Published: April 2023

Purpose
The purpose of this study is to present a fractal model of thermal contact conductance of rough surfaces based on elliptical asperity.

Design/methodology/approach
The effects of contact load, fractal dimensional, fractal roughness and eccentricity on thermal contact conductance of rough surfaces were investigated by using numerical simulation.

Findings
The results indicate that the thermal contact conductance of rough surfaces increases with the increase of the contact load, increases with the increase of the fractal dimension and decreases with the increase of the fractal roughness. The thermal contact conductance of rough surfaces increases with the increase of eccentricity. The shape of the asperity of rough surfaces has an important influence on the thermal contact conductance of rough surfaces.

Originality/value
A fractal model of thermal contact conductance of rough surfaces based on elliptical asperity was established in this study. The achievements of this study provide some theoretical basis for the investigation of thermal contact conductance of bolted joint surfaces.
How do Machiavellianism, narcissism and psychopathy tendencies influence consumer avoidance and revenge-seeking following a service failure?
Authors: Hancock Tyler , Waites Stacie F. , Johnson Catherine M. , Stevens Jennifer L. 
Published: April 2023

Purpose
This study aims to identify the impact that Machiavellianism, narcissism and psychopathy tendencies have on avoidance and revenge-seeking after a service failure. The research examines the role that negative affect and desire for revenge play in aggressive behaviors by consumers.

Design/methodology/approach
The study uses a survey research methodology. The measurement model is validated using CFA, and hypotheses are tested using structural equation modeling. The mediated and serially mediated relationships are calculated using the bootstrap method by creating estimands to test the effects.

Findings
Machiavellianism is less likely to drive avoidance and negative affect, reducing desire for revenge, negative word of mouth and vindictive complaining. Those with narcissism tendencies are likely to develop a negative affect and a corresponding desire for revenge after the failure only if negative affect is developed. Consumers who exhibit psychopathy tendencies are likely to seek out revenge directly.

Practical implications
Each Dark Triad tendency influences consumer avoidance and revenge-seeking in different ways when a consumer’s goals are impeded. Companies can focus on service recoveries differently based on the types of tendencies of consumers engaging in avoidance and revenge-seeking.

Originality/value
The individual paths from Machiavellianism, narcissism and psychopathy tendencies to avoidance and revenge-seeking are developed and analyzed. Further distinctions between each Dark Triad tendency aids service providers in addressing and preparing for these consumer behaviors.
Examining the impacts of emotional intelligence on tour guide citizenship performance
Authors: Al-Okaily Nour Salah , Alzboun Nidal , Abuhjeeleh Mohammad 
Published: April 2023

PurposeEmotional intelligence (EI) has a profound effect on the performance of tour guides, though past studies on the subject have neglected to examine the effects of EI on neither the overall nor specific pattern of tour guides' performance. This study examines the overall link between four dimensions of EI (self-emotion appraisal [SEA], others' emotion appraisal [OEA], use of emotions [UOEs] and regulation of emotions [ROEs]) and five dimensions of citizenship performance (helping, self-development, initiative, compliance and adaptability), ultimately identifying the relationship between EI factors and each dimension of tour guides' citizenship performance.Design/methodology/approachThe data from 244 Jordanian tour guides were gathered through a quantitative survey. A confirmatory factor analysis (CFA) and multiple regression analysis were performed to analyze the data.FindingsThe results reveal that emotionally intelligent tour guides are more likely to have higher levels of citizenship performance. The most significant factors in determining extra-role behaviors by tour guides are “UOEs” and “others’ emotion appraisal (OEA)”.Practical implicationsThis study equips different professional entities in the tour guide industry with useful, contextualized links between EI and citizenship performance. This assists in developing new accreditation policies and business practices to augment tour guides' citizenship professionalism, thereby maximizing their valuable contributions to tourism growth.Originality/valueThis study advances the tourism studies by establishing a new theoretical link between tour guides' EI and citizenship performance. The study also uncovers unique factors of EI that significantly determine tour guides' citizenship behaviors.