bluuebunny/crossref_metadata_2025_split huggingface dataset:
A combined BEM and Laplace transform for unsteady modified-Helmholtz equation of time–space variable coefficients for anisotropic media
Authors: Azis Mohammad Ivan 
Published: November 2023

PurposeTwo-dimensional (2D) problems are governed by unsteady anisotropic modified-Helmholtz equation of time–space dependent coefficients are considered. The problems are transformed into a boundary-only integral equation which can be solved numerically using a standard boundary element method (BEM). Some examples are solved to show the validity of the analysis and examine the accuracy of the numerical method.Design/methodology/approach The 2D problems which are governed by unsteady anisotropic modified-Helmholtz equation of time–space dependent coefficients are solved using a combined BEM and Laplace transform. The time–space dependent coefficient equation is reduced to a time-dependent coefficient equation using an analytical transformation. Then, the time-dependent coefficient equation is Laplace transformed to get a constant coefficient equation, which can be written as a boundary-only integral equation. By utilizing a BEM, this integral equation is solved to find numerical solutions to the problems in the frame of the Laplace transform. These solutions are then inversely transformed numerically to obtain solutions in the original time–space frame.FindingsThe main finding of this research is the derivation of a boundary-only integral equation for the solutions of initial-boundary value problems governed by a modified-Helmholtz equation of time–space dependent coefficients for anisotropic functionally graded materials with time-dependent properties.Originality/valueThe originality of the research lies on the time dependency of properties of the functionally graded material under consideration.
Workers’ voice from the triangular employment relationship lens: towards a conceptual framework
Authors: Oyetunde Kabiru , Prouska Rea , McKearney Aidan 
Published: November 2023

PurposeThis paper examines the circumstantial state of mediated work to develop a conceptual framework exemplifying the determinants of voice of workers in triangular employment relationships. These workers are in work context involving two or more firms – agency/platform and clients/client firms.Design/methodology/approachParalleling employee voice research in the triangular employment relationship context, the authors theorised the influencing forces at four levels to propose 12 distinct antecedents of triangular workers' voice. External level (2) – legal employer ambiguity and legal regulation and protection; employment context level (3) – availability and presence, assignment duration and autonomy; firm level (3) – institutional complexity, cost and control and governance structure conflicts; individual level (4) – perceived relative equity, voice skill, self-identity and transition opportunity.FindingsThe triangular workers' voice determinants framework provides a comprehensive outlook on how the external, employment context, firm and individual forces influence voice of workers in triangular employment relationships.Research limitations/implicationsEmanating from the framework are propositions that can be empirically tested for validation. Hence, as with conceptual papers, this paper is limited by non-empirical testing.Practical implicationsManagers of workers in these employment relationships should be cognizant of the different levels of forces that can influence their voice.Originality/valueThis paper contributes to the employee voice literature by presenting a four-level framework that demonstrate a holistic view of how triangular workers' voice is influenced.
The persistence of print books: exploring language preference and format preference among Arabic-speaking library patrons in Jordan
Authors: Hawatmeh Christina Zacharia , Alshmaseen Oraib Mousa , Alfayez Ghada Enad 
Published: November 2023

Purpose
The purpose of this study is to investigate the reasons behind the persistent preference for printed content among Arabic-speaking library patrons in Jordan. Specifically, this study highlights the availability of reading materials in print, electronic and audible formats in Arabic as an intervening factor shaping reading behavior. More broadly, it aims to contribute to a deeper understanding of how language preference can impact reading format preferences.

Design/methodology/approach
This study’s research design revolves around understanding reading format preferences among registered members of Jordan’s largest and oldest private library. This approach involved the examination of secondary library user survey data collected from N = 313 of its patrons in 2022. To gain a greater understanding of the preference for printed materials, this study conducted semistructured interviews over the phone with n = 31 participants of the library’s survey.

Findings
The findings of this study indicate a strong preference for print books among Arabic-speaking library patrons in Jordan. However, the availability of content in electronic and audible formats in Arabic, their preferred reading language, emerged as a potentially significant factor in the persistent preference for printed reading materials.

Originality/value
This study offers new insights into the specific role that the availability of content in Arabic, and possibly languages other than English, may play in shaping reading format preferences. By shedding light on this aspect of reading behavior, this research offers valuable information for libraries and publishers seeking to cater to the needs and preferences of Arabic readers.
Future of work from everywhere: a systematic review
Authors: Itam Urmila Jagadeeswari , Warrier Uma 
Published: November 2023

PurposeTeleworking, working from home and flexible work have gained popularity over the last few years. A shift in policies and practices in the workplace is required owing to the COVID-19 pandemic accelerating current trends in work-from-everywhere (WFE) research. This article presents a systematic literature review of WFE research from 1990 to early 2023 to understand the transformation of the field.Design/methodology/approachThe Web of Science database was used to conduct this review based on rigorous bibliometric and network analysis techniques. The prominence of the research studied using SPAR-4-SLR and a collection of bibliometric techniques on selected journal articles, reviews and early access articles. Performance and keyword co-occurrence analysis form the premise of cluster analysis. The content analysis of recently published papers revealed the driving and restraining forces that help define and operationalize the concept of WFE.FindingsThe major findings indicate that the five established and accelerated trends from cluster analysis are COVID-19 and the pandemic, telework(ing), remote working, work from home and well-being and productivity. Driving and restraining forces identified through content analysis include technological breakthroughs, work–life integration challenges, inequality in the distribution of jobs, gender, shifts in industry and sector preferences, upskilling and reskilling and many more have been published post-COVID in the restraining forces category of WFE.Practical implicationsA key contribution of this pioneering study of “work from everywhere” is the linking of the bibliometric trends of the past three decades to the influencing and restraining factors during the pandemic. This study illustrates how WFE could be perceived differently post-COVID, which is of great concern to practitioners and future researchers.Originality/valueA wide range of publications on WFE and multiple synonyms can create confusion if a systematic and effective system does not classify and associate them. This study uses both bibliometric and scientometric analyses in the context of WFE using systematic literature review (SLR) methods.
An empirical evaluation of the predictors and consequences of social media health-misinformation seeking behavior during the COVID-19 pandemic
Authors: Riaz Muhammad , Jie Wu , Sherani Mrs , Ali Sher , Boamah Fredrick Ahenkora , Zhu Yan 
Published: November 2023

PurposeDrawing upon social cognitive theory, this study aims to investigate the potential predictors and consequences of social media health-misinformation seeking behavior during the coronavirus (COVID-19) pandemic.Design/methodology/approachUsing a sample of 230 international students studying at Wuhan University and Beijing Language and Cultural University, China, this study employs structural equation modeling to analyze the collected data.FindingsThe results indicate that personal factors such as lack of health information literacy, environmental factors, information overload and social media peer influence have a significant effect on behavior, namely social media health-misinformation seeking behavior, which further influences outcomes, namely social media users' anxiety during the COVID-19 pandemic. In addition, both lack of health information literacy and social media peer influence have significant and direct effects on social media users' anxiety. However, the direct effect of information overload on social media users' anxiety is insignificant.Originality/valueFirst, this study contributes to the literature on the individuals' social media health-misinformation seeking behavior, its precursors and its consequences, specifically on their mental healthcare during a pandemic situation. Second, this research is one of the pioneer studies that extend social cognitive theory to the context of social media health-misinformation seeking behavior and users' anxiety relationship.
Transformational and transactional leadership behaviors and ethical perceptions: the effects of sensory processing sensitivity
Authors: Stenmark Cheryl K. 
Published: November 2023

PurposeSensory processing sensitivity (SPS) is a trait that affects people's thinking and behavior. People who are higher in SPS are more sensitive to internal and environmental stimuli. The present study examined the effects of transformational and transactional leadership behaviors on follower ethical cognition and perception and the role that follower SPS plays in that process.Design/methodology/approachParticipants read vignettes in which their leader was described as transformational or transactional. Participants then qualitatively answered a series of four emails asking questions about an ethical problem. Then they completed measures of ethical perceptions and SPS. Qualitative data were content coded to evaluate ethical cognition.FindingsResults indicated that people higher in SPS had lower ethical perceptions than people lower in SPS when their leader was transactional. However, when their leader was transformational, people higher in SPS had higher ethical perceptions than people lower in SPS. Results suggest that a match between a follower's SPS and a leader's behaviors can influence followers' ethical perceptions. Findings suggest that organizational leader and management development interventions should encourage leaders to use transformational behaviors to improve followers' ethical perceptions.Originality/valuePrevious research has examined the effects of transformational and transactional leadership on many outcomes for followers, including ethical attitudes and behaviors. The present study contributes to this literature by examining the effects of transformational and transactional leadership behaviors on ethical cognition and perceptions.
Design of a remote assistance model for truck maintenance in the mining industry
Authors: Canelón Rodolfo , Carrasco Christian , Rivera Felipe 
Published: November 2023

PurposeIt is well known in the mining industry that the increase in failures and breakdowns is due mainly to a poor maintenance policy for the equipment, in addition to the difficult access that specialized personnel have to combat the breakdown, which translates into more machine downtime. For this reason, this study aims to propose a remote assistance model for diagnosing and repairing critical breakdowns in mining industry trucks using augmented reality techniques and data analytics with a quality approach that considerably reduces response times, thus optimizing human resources.Design/methodology/approachIn this work, the six-phase CRIPS-DM methodology is used. Initially, the problem of fault diagnosis in trucks used in the extraction of material in the mining industry is addressed. The authors then propose a model under study that seeks a real-time connection between a service technician attending the truck at the mine site and a specialist located at a remote location, considering the data transmission requirements and the machine's characterization.FindingsIt is considered that the theoretical results obtained in the development of this study are satisfactory from the business point of view since, in the first instance, it fulfills specific objectives related to the telecare process. On the other hand, from the data mining point of view, the results manage to comply with the theoretical aspects of the establishment of failure prediction models through the application of the CRISP-DM methodology. All of the above opens the possibility of developing prediction models through machine learning and establishing the best model for the objective of failure prediction.Originality/valueThe original contribution of this work is the proposal of the design of a remote assistance model for diagnosing and repairing critical failures in the mining industry, considering augmented reality and data analytics. Furthermore, the integration of remote assistance, the characterization of the CAEX, their maintenance information and the failure prediction models allow the establishment of a quality-based model since the database with which the learning machine will work is constantly updated.
Dynamic scheduling for job shop with machine failure based on data mining technologies
Authors: Gui Yong , Zhang Lanxin 
Published: November 2023

PurposeInfluenced by the constantly changing manufacturing environment, no single dispatching rule (SDR) can consistently obtain better scheduling results than other rules for the dynamic job-shop scheduling problem (DJSP). Although the dynamic SDR selection classifier (DSSC) mined by traditional data-mining-based scheduling method has shown some improvement in comparison to an SDR, the enhancement is not significant since the rule selected by DSSC is still an SDR.Design/methodology/approachThis paper presents a novel data-mining-based scheduling method for the DJSP with machine failure aiming at minimizing the makespan. Firstly, a scheduling priority relation model (SPRM) is constructed to determine the appropriate priority relation between two operations based on the production system state and the difference between their priority values calculated using multiple SDRs. Subsequently, a training sample acquisition mechanism based on the optimal scheduling schemes is proposed to acquire training samples for the SPRM. Furthermore, feature selection and machine learning are conducted using the genetic algorithm and extreme learning machine to mine the SPRM.FindingsResults from numerical experiments demonstrate that the SPRM, mined by the proposed method, not only achieves better scheduling results in most manufacturing environments but also maintains a higher level of stability in diverse manufacturing environments than an SDR and the DSSC.Originality/valueThis paper constructs a SPRM and mines it based on data mining technologies to obtain better results than an SDR and the DSSC in various manufacturing environments.
The unity productions foundation film and the C3 framework
Authors: Wafa Nada , Douglass Susan Lynn 
Published: November 2023

PurposeThe purpose of this paper is to engage readers with Unity Productions Foundation (UPF) films, which provide a powerful, inspirational digital tool for teachers. The organization's mission is to create documentaries, films and educational materials that contribute to bringing to light compelling stories of Muslim engagement through history and culture. UPF films and educational projects aim to promote peace and understanding to increase cultural pluralism and counter bigotry in our world.Design/methodology/approachTeachers will be able to utilize the resources provided in this paper to harness the power of media in their classrooms. Outlining the process by which teachers can follow the C3 inquiry using the film Prince Among Slaves will prepare teachers to see the alignment of the C3 Framework with their teaching. The “best practice” classroom strategies in structuring deliberations are ones that encourage students to fully participate and emphasize their voice.FindingsThis paper will unpack the practice methods that address the film Prince Among Slaves to be of benefit when sharing narratives through digital film and engage students in critical thinking through the C3 Framework. UPF films are the product of scholarly research and innovative production teams as the films provide the opportunity to visualize and explore multiple perspectives to understand historical content by providing a context for inquiry teaching and learning that is inclusive through deliberative discussions in the classroom.Originality/value The author certifies that this manuscript submission is original work and that all authors were involved in the intellectual elaboration of the manuscript and all parties have been acknowledged.
Casemix and performance of Australian emergency departments: A comparison of major city, regional and remote locations
Authors: Tatkovic Annaleis , Moore Katie , Lim Jolene CJ 
Published: November 2023

AbstractObjectiveEDs are an essential service, and higher rates of presentations per population are seen in regional and remote areas compared to major cities. Australia‐wide differences in utilisation and performance remain largely unknown.MethodsThis was a descriptive, retrospective epidemiological study analysing data collected via the National Non‐Admitted Patient Emergency Department Care Database managed by the Australian Institute of Health and Welfare. Data from all reporting public hospitals in Australia for the period between 1 July 2018 and 30 June 2019 were analysed. Reporting EDs were geographically categorised using the 2016 Australian Statistical Geography Standard – Remoteness Area.ResultsED presentations for the 293 reporting EDs were 8 352 192 (median 17 904, range 8–113 929), one‐third (33.09%, 95% CI 33.06–33.12) were outside major cities. Remote ED presentations were less likely to arrive by ambulance (12.13% [12.01–12.26]; major cites 28.07% [28.03–28.10]; regional 22.55% [22.50–22.60]) but more likely by police/correctional services vehicle (major cities 0.59% [0.58–0.60]; regional 0.71% [0.70–0.72]; remote 1.71% [1.66–1.76]). Presentations to remote EDs were more likely to leave without being attended by a health professional (5.29% [5.21–5.38]; major cities 3.93% [3.92–3.95]; regional 3.53% [3.51–3.55]). A larger proportion of admitted patients stayed at least 8 h in remote (21.83% [21.46–22.20]) and regional (21.52% [21.41–21.62]) EDs compared to major cities (19.82% [19.76–19.88]).ConclusionsOur study highlights ED utilisation, casemix and performance by location. The differences observed, especially areas of inequity and need for interventions, reiterate that imperative regional and remote EDs are appropriately resourced to support the communities they serve.
A simple score for malnutrition–inflammation complex syndrome (MICS) is associated with the risk of mortality in Japanese patients undergoing maintenance hemodialysis
Authors: Yamada Shunsuke , Arase Hokuto , Taniguchi Masatomo , Kitazono Takanari , Nakano Toshiaki 
Published: November 2023

AbstractIntroductionMalnutrition–inflammation complex syndrome (MICS) is highly prevalent in patients undergoing hemodialysis. We determined the prognostic value of the Simple MICS score, calculated using a combination of age, body mass index, and serum concentrations of albumin, creatinine, and C‐reactive protein.MethodsWe retrospectively recruited 218 Japanese patients undergoing maintenance hemodialysis. The primary outcome was all‐cause mortality, and the main exposure was the Simple MICS score. Cox proportional hazard regression analysis and logistic regression analysis were used to characterize the relationship between the Simple MICS score and mortality.ResultsDuring a median 4.4‐year follow‐up period, 56 patients died. Multivariable‐adjusted models showed that a higher Simple MICS score was associated with higher risks of mortality. The predictability for all‐cause mortality of the Simple MICS score was significantly better than conventional nutrition‐related indices.ConclusionThe Simple MICS score can be used to stratify mortality risk in patients undergoing maintenance hemodialysis.
Effects of phenylephrine on systemic and cerebral circulations in humans: a systematic review with mechanistic explanations
Authors: Meng L. , Sun Y. , Zhao X. , Meng D. M. , Liu Z. , Adams D. C. , McDonagh D. L. , Rasmussen M. 
Published: November 2023

SummaryWe conducted a systematic review of the literature reporting phenylephrine‐induced changes in blood pressure, cardiac output, cerebral blood flow and cerebral tissue oxygen saturation as measured by near‐infrared spectroscopy in humans. We used the proportion change of the group mean values reported by the original studies in our analysis. Phenylephrine elevates blood pressure whilst concurrently inducing a reduction in cardiac output. Furthermore, despite increasing cerebral blood flow, it decreases cerebral tissue oxygen saturation. The extent of phenylephrine's influence on cardiac output (r = ‐0.54 and p = 0.09 in awake humans; r = ‐0.55 and p = 0.007 in anaesthetised humans), cerebral blood flow (r = 0.65 and p = 0.002 in awake humans; r = 0.80 and p = 0.003 in anaesthetised humans) and cerebral tissue oxygen saturation (r = ‐0.72 and p = 0.03 in awake humans; r = ‐0.24 and p = 0.48 in anaesthetised humans) appears closely linked to the magnitude of phenylephrine‐induced blood pressure changes. When comparing the effects of phenylephrine in awake and anaesthetised humans, we found no evidence of a significant difference in cardiac output, cerebral blood flow or cerebral tissue oxygen saturation. There was also no evidence of a significant difference in effect on systemic and cerebral circulations whether phenylephrine was given by bolus or infusion. We explore the underlying mechanisms driving the phenylephrine‐induced cardiac output reduction, cerebral blood flow increase and cerebral tissue oxygen saturation decrease. Individualised treatment approaches, close monitoring and consideration of potential risks and benefits remain vital to the safe and effective use of phenylephrine in acute care.