bluuebunny/crossref_metadata_2025_split huggingface dataset:
A scoping review on Para Judo
Authors: Gutiérrez-Santiago Alfonso , Gutiérrez-Santiago Jesús Antonio , Prieto-Lage Iván , Paramés-González Adrián , Suárez-Iglesias David , Ayán Carlos 
Published: November 2022

ABSTRACT
This scoping review aimed to summarize the literature on Para judo comprehensively. A systematic search on WOS, PubMed, SPORTDiscus and Scopus was carried out up to July 2022, combining the keywords “judo” and “visual impairment”, “visual disability”, “visual deficiency”, “visually handicapped”, “low vision”, “sight loss”, “blind”, “disability” “deficiency” and “Paralympic”. The research question was focused on athletes with visual impairment (VI) who practiced judo at a competitive level. Five methodological phases were followed: (i) identifying the research question, (ii) identifying relevant studies, (iii) study selection, (iv) charting the data, and (v) collating, summarizing, and reporting the results. A total of 44 studies were analyzed. Three lines of research emerged: Physical Fitness (n = 18), Performance and/orSport Class (n = 15) and Physical and Mental Health (n = 11). Findings indicated that judokas with VI showed a similar fitness level to able-sighted judokas. Also, it was observed that Para judo shows a considerable injury incidence, which is not influenced by the degree of VI. The temporal structure of the combats, together with the studies focused on the optimal cut-off points between sports classes, confirmed the appropriateness of the recent changes in the regulations by which partially sighted judokas and functional blind judokas compete separately.
Outpatient mental health service use in major trauma survivors: A population-based cohort study from Ontario, Canada
Authors: Evans Christopher Charles Douglas , Li Wenbin , Jagelaviciute Gabriele , Morrison Ciara , Ng Rebecca , Brogly Susan B. 
Published: November 2022

BACKGROUND
Mental health is recognized as an important outcome in major trauma survivors. There are limited data on how and when survivors access mental health services. Our objectives were to determine the frequency, timing, and factors associated with outpatient mental health service utilization in major trauma survivors.

METHODS
We conducted a population-based cohort study using linked administrative data on patients treated for major trauma in Ontario between 2009 and 2017. All trauma survivors were included in the cohort, and composite rates of outpatient mental health service use (family doctor, psychiatrist, or emergency department visits) were compared in the 3 years preinjury and postinjury. We used an exposure crossover study design and negative binomial regression with generalized estimating equations for the analysis. Multivariate logistic regression analyses were used to identify patient characteristics associated with mental health service use during the follow-up period.

RESULTS
There were 37,260 patients included in the cohort, predominantly men (70.8%) from urban areas (84.8%) suffering blunt trauma (89.7%). Among the patients, 47.4% used mental health services during the preinjury period and 61.8% during the postinjury period (absolute increase of 14.4%). Compared with the 3 years preinjury, the rate of mental health service use increased by 80% (rate ratio, 1.8; 95% confidence interval, 1.75–1.77) in the 3 years following injury. Most survivors (62.2%) used services within the first year following discharge. Postinjury mental health service use (adjusted odds ratio, 3.4; 95% confidence interval, 2.2–3.7) was most strongly associated with preinjury mental health service use.

CONCLUSION
Preinjury and postinjury outpatient mental health service use is common in trauma patients, with preinjury service use predictive of ongoing service use. Mental health concerns should be an expected outcome of major trauma and efforts made to implement and expand access to services for injury survivors across trauma systems.

LEVEL OF EVIDENCE
Therapeutic/Care Management; Level IV.
Efficient risk mitigation planning for a clinical trial
Authors: Shnaydman Vladimir 
Published: November 2022

AbstractEach clinical trial faces numerous risks. Neglecting or reacting spontaneously at each materialized risk may delay trial completion, affect trial objectives and even derail the clinical trial. At the same time, pre-allocating excessive contingency resources to eliminate all potential risks, even with a low probability of occurrence and impact, may not be necessary. Therefore, optimal risk planning means finding the “right” balance between contingency resources, risk mitigation strategy, and risk tolerance.Most risk planning publications focus only on risk identification and risk assessment. Risk mitigation strategy planning is often overlooked. A contingency budget is routinely assigned as a percentage of a clinical trial budget, e.g., 10-20%, and is not aligned with the clinical trial risk level. Therefore, to derive an effective clinical trial risk mitigation strategy, a new methodology based on mathematical modeling was developed and validated for a Ph2 clinical trial.
Bayesian network enables interpretable and state-of-the-art prediction of immunotherapy responses in cancer patients
Authors: Hozumi Hideki , Shimizu Hideyuki 
Published: November 2022

AbstractImmune checkpoint inhibitors, especially PD-1/PD-L1 blockade, have revolutionized cancer treatment and brought tremendous benefits to patients who otherwise would have had a limited prognosis. Nonetheless, only a small fraction of patients responds to immunotherapy, and the costs and side effects of immune checkpoint inhibitors cannot be ignored. With the advent of machine and deep learning, clinical and genetic data has been used to stratify patient responses to immunotherapy. Unfortunately, these approaches have typically been “black-box” methods that are unable to explain their predictions, thereby hindering their clinical and responsible application. Herein, we developed a “white-box” Bayesian network model that achieves accurate and interpretable predictions of immunotherapy responses against non-small cell lung cancer (NSCLC). This Tree-Augmented naïve Bayes model (TAN) precisely predicted durable clinical benefits and distinguished two clinically significant subgroups with distinct prognoses. Furthermore, Our state-of-the-art white-box TAN approach achieved greater accuracy than previous methods. We hope our model will guide clinicians in selecting NSCLC patients who truly require immunotherapy and expect our approach will be easily applied to other types of cancer.Structured AbstractBackgroundImmune checkpoint inhibitors have revolutionized cancer treatment. Given that only a small fraction of patients responds to immunotherapy, patient stratification is a pressing concern. Unfortunately, the “black-box” nature of most of the proposed stratification methods, and their far from satisfactory accuracy, has hindered their clinical application.MethodWe developed a “white-box” Bayesian network model, with interpretable architecture, that can accurately predict immunotherapy response against non-small cell lung cancer (NSCLC). We collected clinical and genetic information from several independent studies, and integrated this via the Tree-Augmented naïve Bayes (TAN) approach.FindingsThis TAN model precisely predicted durable clinical benefit and distinguished two clinically significant subgroups with distinct prognoses, achieving state-of-the-art performance than previous methods. We also verified that TAN succeeded in detecting meaningful interactions between variables from data-driven approach. Moreover, even when data have missing values, TAN successfully predicted their prognosis.InterpretationOur model will guide clinicians in selecting NSCLC patients who genuinely require immunotherapy. We expect this approach to be easily applied to other types of cancer. To accelerate the uptake of personalized medicine via access to accurate and interpretable models, we provide a web application (https://pred-nsclc-ici-bayesian.shinyapps.io/Bayesian-NSCLC/) for use by the researchers and clinicians community.FundingKAKENHI grant from the Japan Society for the Promotion of Science (JSPS) to H.S (21K17856).
Impact of digital Industry 4.0 innovations on interorganizational value chains: a systematic literature review
Authors: Nottbrock Claus , Van Looy Amy , De Haes Steven 
Published: November 2022

PurposeOrganizations invest in novel digital innovations to improve their business processes. These innovations, including Industry 4.0 technologies, enable full organizational integration with business process management (BPM), thereby requiring interorganizational relationship (IOR) capabilities. Many organizations lack knowledge about areas of interorganizational (IO) capability for integrating digital innovations into their value chains. They therefore have difficulty understanding that, as a socio-technical concept, digitalization surpasses the intraorganizational level and requires tools to develop mandatory IOR capabilities. The authors’ systematic literature review (SLR) explores these capabilities within the discipline of BPM. The purpose of this paper is to address this issue.Design/methodology/approachThis SLR follows the standard methodology for structuring a broad research field. The authors assessed capabilities relevant to manufacturing organizations from 58 academic articles published between 2011 and 2021.FindingsBuilding on existing firm-centric capability frameworks, the authors developed individual capabilities into a novel framework of digital interorganizational value chain (DIOVC). The authors’ conceptual model provides a basis for researchers and practitioners to consider capabilities and the theoretical spectrum of IO value chains.Research limitations/implicationsFuture studies should validate these DIOVC capabilities as input for an updated model of BPM maturity aimed at improving business process performance through digital innovations.Practical implicationsThis study provides organizations with IOR knowledge, supports decision makers in governing digital innovations and develops IO capabilities to improve their value chain performance.Originality/valueThe authors’ DIOVC capability framework is robust, with constructs and dimensions grounded in the literature, demonstrating theoretical and practical relevance.
Industry 4.0 driven emerging skills of offsite construction: a multi-case study-based analysis
Authors: Ginigaddara Buddhini , Perera Srinath , Feng Yingbin , Rahnamayiezekavat Payam , Kagioglou Mike 
Published: November 2022

Purpose
Industry 4.0 is exacerbating the need for offsite construction (OSC) adoption, and this rapid transformation is pushing the boundaries of construction skills towards extensive modernisation. The adoption of this modern production strategy by the construction industry would redefine the position of OSC. This study aims to examine whether the existing skills are capable of satisfying the needs of different OSC types.

Design/methodology/approach
A critical literature review evaluated the impact of transformative technology on OSC skills. An existing industry standard OSC skill classification was used as the basis to develop a master list that recognises emerging and diminishing OSC skills. The master list recognises 67 OSC skills under six skill categories: managers, professionals, technicians and trade workers, clerical and administrative workers, machinery operators and drivers and labourers. The skills data was extracted from a series of 13 case studies using document reviews and semi-structured interviews with project stakeholders.

Findings
The multiple case study evaluation recognised 13 redundant skills and 16 emerging OSC skills such as architects with building information modelling and design for manufacture and assembly knowledge, architects specialised in design and logistics integration, advanced OSC technical skills, factory operators, OSC estimators, technicians for three dimensional visualisation and computer numeric control operators. Interview findings assessed the current state and future directions for OSC skills development. Findings indicate that the prevailing skills are not adequate to readily relocate construction activities from onsite to offsite.

Originality/value
To the best of the authors’ knowledge, this research is one of the first studies that recognises the major differences in skill requirements for non-volumetric and volumetric OSC types.
Modeling and simulation of an ultra-low frequency and low-pressure resonator
Authors: Eidi Amin 
Published: November 2022

Purpose
Detection of low-frequency pressures such as heart rate in the range of 1 Hz is one of the applications of low-frequency resonator. In this paper, the structure of the resonator is in the form of a plate, whose mathematical model has been extracted according to past works and is reported.

Design/methodology/approach
This paper presents an electromechanical microresonator that can be used as an ultra-low-frequency pressure sensor. It is very important to choose the right material for the sensors to have the optimal conditions. In this work, by proposing the innovative use of polytetrafluoroethylene material with low stiffness coefficient, the necessary conditions are provided to reduce the vibration frequency of the resonator.

Findings
The proposed design is simulated with the help of COMSOL, and its results are compared with the results of the mathematical model, which are very close to each other. Therefore, by inferring the results, the authors can rely on accurate simulations and finalize the similar designs with full confidence before fabrication.

Originality/value
There are important advantages regarding the geometry of the proposed design structure that is the possibility of detecting a pressure of 1 Pa only with voltages less than 2 V. On the other hand, the pull-in effect causes very low frequencies to be achieved in detection with the help of the proposed resonator. Also, the linear and nonlinear behavior of the resonator by applying different pressures has been studied and reported to find the appropriate operating range of the resonator and its limitations.
Towards the adoption of most suitable green walls within sustainable buildings using interval type-2 fuzzy best-worst method and TOPSIS technique
Authors: Tabatabaee Sanaz , Ashour Mojtaba , Sadeghi Haleh , Hoseini Seyed Amirali , Mohandes Saeed Reza , Mahdiyar Amir , Ismail Syuhaida , Hosseini M. Reza 
Published: November 2022

PurposeTo come up with a prudent decision on the installation of an appropriate green wall (GW) on buildings, this study presents a novel decision-making algorithm. The proposed algorithm considers the importance of barriers hampering GW adoption, as well as their relationships with regard to different types of GWs existing in a contextual setting.Design/methodology/approachThe proposed methodological approach is based on the integration of qualitative and quantitative techniques by employing focus group discussion, fuzzy-based best-worst method and fuzzy TOPSIS.FindingsBased on the experiences of qualified experts involved in related projects in Hong Kong, the following conclusions are drawn: (1) cost, installation and maintenance-related barriers are perceived to have the highest importance, (2) modular living wall system is the most suitable GW system for the context of Hong Kong and (3) existing barriers are found to have a pivotal role in the ranking of the most suitable GW systems.Practical implicationsThe findings provide valuable insight not only for policymakers and stakeholders, but also for establishing a methodological approach that can assist decision-makers in identifying the most beneficial GW system rather than the most applicable one. This could have significant implications and introduce potential changes to the common way of practice within the industry and lay the foundation for wider adoption of GW.Originality/valueWhile previous studies have investigated the sustainability-related issues of GW façade applications, the current body of knowledge is deprived of a comprehensive methodological approach for the selection of the most suitable GW systems.
To make your mouth water or not? How field dependence/independence and occasion-setting cues affect consumers’ food intake intention
Authors: Yao Qi , Tao Xiaofang , Zhou Wenkai 
Published: November 2022

Purpose
This study aims to empirically investigate how the interaction effect of occasion-setting cues and consumers’ cognitive styles (e.g. field dependence levels) influences their food intake intention.

Design/methodology/approach
In this research, several scenario simulation studies were conducted to verify the hypotheses. A total of 646 participants were recruited for the experiments, and samples were obtained through well-established online research platforms.

Findings
In the occasion-setting cue advertisement condition, field-dependent (vs field-independent) consumers displayed increased cravings for food and purchase intention, with mental simulation playing a mediating role and cognitive load playing a moderating role.

Research limitations/implications
The influence of others (e.g. servers and other consumers) was not taken into consideration in this study. Future research can extend this study by conducting field experiments.

Practical implications
The research conclusions can help various organisations reduce consumers’ food overconsumption intention and encourage healthier food choices by adjusting occasion-setting cues in marketing stimuli and identifying the target consumers’ cognitive styles.

Originality/value
Based on embodied cognition theory, this study reveals the influence and internal mechanism of the interaction effect between occasion-setting cues and individual cognitive style on eating desire.
Moral exclusion in hospitality: testing a moderated mediation model of the relationship between perceived overqualification and knowledge-hiding behavior
Authors: Shafique Imran , Kalyar Masood Nawaz , Ahmad Bashir , Pierscieniak Agata 
Published: November 2022

Purpose
Drawing from moral exclusion theory, this study aims to examine a moderated mediation model for the relationship between perceived overqualification (POQ) and knowledge-hiding behavior directly and via perceived dissimilarity.

Design/methodology/approach
Using the convenience-sampling technique, time-lagged (three waves) data were gathered from 595 employees working in different hotels and event management firms. Hayes’ PROCESS macro was used to test the moderated mediation model.

Findings
Results showed that perceived dissimilarity among coworkers mediated the result of POQ on knowledge-hiding behavior. In addition, interpersonal disliking moderated the indirect effect in a way that this effect was strong when interpersonal liking was low.

Practical implications
Findings suggest that organizations should make the overqualified realize that they can also learn from their coworkers whom they perceive as less qualified. In this, the feelings of dissimilarity and disliking can be minimized that in turn may decrease the intention to hide knowledge.

Originality/value
The present study offers a new perspective for identifying the nexus between POQ and knowledge-hiding behavior by drawing upon moral exclusion theory and examining the mediating role of perceived deep-level dissimilarity.
Human–robot interactions in the restaurant setting: the role of social cognition, psychological ownership and anthropomorphism
Authors: Ruiz-Equihua Daniel , Romero Jaime , Loureiro Sandra Maria Correia , Ali Murad 
Published: November 2022

Purpose
The usage of robot waiters in the hospitality industry is growing, thus increasing the number of human–robot interactions in frontline services. Focusing on robot waiters in restaurants, this study aims to propose the social cognition (SC)–psychological ownership (PO)–customer responses (CR) model, while examining the association between SC, PO, robot anthropomorphism and CR.

Design/methodology/approach
The hypotheses of this study are tested using a three-step mixed-method approach that includes partial least squares structural equation modeling (PLS-SEM), necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA).

Findings
PLS-SEM demonstrates the mediating role of psychological ownership on the relationship between SC, customer attitudes regarding being attended by a robot and revisiting intentions. Robot anthropomorphism enhances the relationship between SC and psychological ownership. NCA indicates that SC and psychological ownership are necessary conditions for the presence of favorable attitudes and revisiting intentions. FsQCA suggests that different configurations of the antecedent conditions lead to better attitudes and revisiting intentions.

Practical implications
Frontline hospitality robots need to be perceived as warm, competent, responsive and adaptable to customer requests to elicit positive responses. Managers should employ attractive robots displaying anthropomorphic features. Managers need to ensure that customers have some knowledge about robots before interacting with them. Managers should also consider customer heterogeneity and the context in which the robots will be deployed.

Originality/value
Based on the psychological ownership theory, this paper analyzes the relationship between SC, psychological ownership and CR. Anthropomorphism moderates the relationship between SC and psychological ownership.
Drivers and barriers in developing sustainability leadership – a case of natural scientists at Ugandan universities
Authors: Lukwago Julius , Martins Ana Maria De Azevedo , Tefera Orthodox 
Published: November 2022

Purpose
Although natural science disciplines significantly contribute to sustainable development goals (SDGs), little research attends to how higher education institutions (HEIs) influence the development of leadership skills needed among sustainability leaders. This paper aims to examine the leadership development experiences of natural scientists at the forefront of disciplines associated with SDGs to identify barriers and drivers to sustainability leadership skills development at HEIs.

Design/methodology/approach
A mixed-methods comparative study was used, integrating qualitative interviews among 21 natural scientists and 11 non-scientists, two focus group discussions and a cross-sectional survey of 221 leaders. The theory of planned behaviour was used as the analytical frame to identify themes emerging from the data as facilitators or barriers to leadership development.

Findings
There was a statistically significant difference between scientists and non-scientists in the attitudes, beliefs and perceptions that drive participation in leadership development activities. Attitudes belittling leadership skills, limited integration of leadership skills in medical, engineering and agricultural curricula and a social identity of superior learning efficacy impede natural scientist students at HEIs from engaging in leadership development.

Research limitations/implications
Further research using a larger sample could assess the prevalence and effect of the drivers and barriers on sustainability leadership effectiveness.

Practical implications
Beyond integrating leadership skills in HEIs curricula, the development of sustainability leadership requires deliberate elevation of the value of leadership skills within natural sciences, specifically by addressing attitudes, beliefs and workload challenges that impede scientists’ engagement in co-curricular activities.

Originality/value
Integrating multiple disciplines provides generalised insights into the context of leadership development among natural scientists at HEIs. This study identifies specific drivers and barriers affecting leadership development at HEIs in a developing country setting.