bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the implementation dynamics of the Health Promoting School approach in Europe: a qualitative study among school health representatives
Authors: Driessen-Willems Marion , Severens Floor , Darlington Emily , Bartelink Nina , Kremers Stef , van Assema Patricia , Bessems Kathelijne 
Published: October 2022

PurposeAdapting the Health Promotion School (HPS) approach to context specifics is acknowledged as being essential for implementation and achieving optimal effectiveness. This study aims to explore implementation variations on seven HPS spectra (such as top-down to bottom-up involvement of stakeholders) on which implementation of the HPS approach can vary, and the factors that relate to navigation on these spectra.Design/methodology/approachIn 2020, fourteen HPS researchers and professionals from ten European countries participated in semi-structured interviews.FindingsNavigation variations on the HPS spectra occurred throughout most spectra. Further, a tendency was found towards spectrum extremes of addressing multiple core-components, implementing non-disruptive Health Promotion (HP) programmes, and evaluating the HPS approach through an action-oriented research approach. Important general factors were resources, staff capacity and time available to staff members for implementing the HPS approach. Some spectra required more specific factors like organisational skills, leadership or a certain level of democracy.Practical implicationsThe implementation of the HPS approach should be supported by implementation strategies addressing the spectrum-specific factors, but more generic factors such as staff capacity, resources and the level of democracy should also be considered.Originality/valueThis study explores navigation variations throughout HPS spectra rather than the HPS approach in general. It also nuances implementation diversity across and within different European contexts.
Relationship of business students’ information-seeking anxiety with socio-academic variables in the digital environment
Authors: Khan Sana , Naveed Muhammad Asif , Anwar Mumtaz Ali 
Published: October 2022

Purpose
This paper aims to investigate the relationship of information-seeking anxiety (ISA) with socio-academic variables of business students in the digital environment.

Design/methodology/approach
A cross-sectional survey using a questionnaire was conducted. The questionnaire, composed of 47 items of Information Seeking Anxiety Scale along with certain socio-academic variables, was administered personally among business students by visiting their classrooms at the Lahore School of Economics, Pakistan. The received 283 responses were analyzed by applying descriptive and inferential statistics such as mean, standard deviation, t-test and one-way analysis of variance.

Findings
The results revealed that a large majority of business students were less comfortable in information seeking and experienced anxiety from mild to moderate levels. There were only a few respondents who faced either low or severe levels of ISA. In relationship testing, the students’ socio-academic variables such as program type, gender, school background, geographical background, information communication technology skills and English language competence did not appear to be the predictors of their ISA.

Research limitations/implications
The results of this study should carefully be used while making generalizations for all the business students in Pakistan and abroad as this research collected data from the business students of a single university in Pakistan.

Practical implications
These results have greater implications for the future directions of information literacy as creating awareness and building capacity for skills about the information search process will help in reducing ISA. These findings provided a pragmatic insight that can be used as a guide by information professionals, especially those engaged in information services, to develop a need-based curriculum of information literacy which would ultimately help in the alleviation of anxiety and combating its effects on students’ academic performance.

Originality/value
This study address specifically ISA of business students that would make a worthy contribution to the existing research on ISA as, to the best of the authors’ knowledge, no such study has appeared so far.
Improving GPU performance in multimedia applications through FPGA based adaptive DMA controller
Authors: B. Santosh Kumar , E. Krishna Kumar 
Published: October 2022

Purpose
Deep learning techniques are unavoidable in a variety of domains such as health care, computer vision, cyber-security and so on. These algorithms demand high data transfers but require bottlenecks in achieving the high speed and low latency synchronization while being implemented in the real hardware architectures. Though direct memory access controller (DMAC) has gained a brighter light of research for achieving bulk data transfers, existing direct memory access (DMA) systems continue to face the challenges of achieving high-speed communication. The purpose of this study is to develop an adaptive-configured DMA architecture for bulk data transfer with high throughput and less time-delayed computation.

Design/methodology/approach
The proposed methodology consists of a heterogeneous computing system integrated with specialized hardware and software. For the hardware, the authors propose an field programmable gate array (FPGA)-based DMAC, which transfers the data to the graphics processing unit (GPU) using PCI-Express. The workload characterization technique is designed using Python software and is implementable for the advanced risk machine Cortex architecture with a suitable communication interface. This module offloads the input streams of data to the FPGA and initiates the FPGA for the control flow of data to the GPU that can achieve efficient processing.

Findings
This paper presents an evaluation of a configurable workload-based DMA controller for collecting the data from the input devices and concurrently applying it to the GPU architecture, bypassing the hardware and software extraneous copies and bottlenecks via PCI Express. It also investigates the usage of adaptive DMA memory buffer allocation and workload characterization techniques. The proposed DMA architecture is compared with the other existing DMA architectures in which the performance of the proposed DMAC outperforms traditional DMA by achieving 96% throughput and 50% less latency synchronization.

Originality/value
The proposed gated recurrent unit has produced 95.6% accuracy in characterization of the workloads into heavy, medium and normal. The proposed model has outperformed the other algorithms and proves its strength for workload characterization.
Bridging two tales of engagement: a meta-analytic review of employee engagement and customer engagement in service contexts
Authors: Michel Eric J. , Lindsey-Hall Kristina K. , Kepes Sven , Qi Ji (Miracle) , Leon Matthew R. , Weinzimmer Laurence G. , Wheeler Anthony R. 
Published: October 2022

PurposeEmploying a service-profit chain (S-PC) framework, this manuscript investigates the relationship between employee engagement (EE) and customer engagement (CE) within service contexts and explores how a mediating mechanism, service employee work performance (SEWP), links EE with CE.Design/methodology/approachMeta-analytic procedures ascertain the magnitude of the relationship between EE and SEWP (k = 102, ρ^ = 0.45) and between SEWP and three dimensions of CE: customer purchases (k = 42, ρ^ = 0.47), customer knowledge (k = 4, ρ^ = 0.33) and customer influence (k = 7, ρ^ = 0.42). The current meta-analysis reports an effect size for the EE-overall SEWP relationship nearly 1.50 times greater than related extant meta-analyses.FindingsResults suggest SEWP, consisting of service employee task performance and contextual performance, serves as an important intervening mechanism between EE and CE by considering nine dimensions of SEWP. Such findings suggest that to maximize SEWP, service employees must go beyond simply being satisfied in their work roles; instead, service employees must feel energized, find fulfillment and meaning and be engrossed in their work to maximize the service they provide to customers.Originality/valueThis research extends previous meta-analytic efforts, bridges the multi-disciplinary gap between EE and CE research, provides an empirical link allowing for informed decision-making for managers and stakeholders, underscores the importance of service employees surpassing required job responsibilities to meet and exceed customer needs and suggests an agenda for future service research integrating EE and CE.
I trust friends before I trust companies: The mediation
of WOM and brand love on psychological contract fulfilment and repurchase
intention
Authors: Ismail Ismail Juma 
Published: October 2022

Purpose
Consumer psychology research has established the importance of customer
satisfaction as a determinant of customer repurchasing intention.
Nonetheless, even satisfied customers switch brands. Also, even dissatisfied
customers have repurchasing intentions. This means that customer
repurchasing behaviour is extremely difficult to predict, necessitating
additional research to identify additional factors that can help
organizations better understand the methods to predict customer repurchasing
intention. To fill this knowledge gap, this study examined the mediating
effects of brand love (BL) and positive word of mouth (PWOM) on
psychological contract fulfilment (PCF) and customer repurchasing
intentions.

Design/methodology/approach
This is a cross-sectional study. The study used structural equation modelling
(SEM) to analyse relationships from a sample size of 400 beauty salon
customers. Also, a process macro mediation test was used to analyse the
mediating effects of BL and PWOM on the relationship between PCF and
customer repurchase intentions.

Findings
The findings indicate that transactional and relational psychological
contracts have a positive and significant relationship with BL and PWOM. As
well, BL and PWOM positively and significantly influence customer repurchase
intentions. Finally, the findings indicate that BL and PWOM mediate the
relationship between psychological contract fulfilment and customer
repurchase intentions.

Research
limitations/implications
This survey sampled beauty salons solely. Given that each type of
organization may have a unique way of fulfilling psychological contracts,
future studies may include more categories such as restaurants and
craftsmanship to broaden the sample. Additionally, this study utilized
female beauty salons. Therefore, future research could include salons that
cater to women and men to boost the sample's generalizability.
Finally, this study concluded that BL and positive recommendations are the
most effective variables for resolving consumer satisfaction challenges.
However, additional factors can probably amplify this fact by focusing on
additional elements to broaden the arguments.

Originality/value
Past studies have extensively covered customer repurchasing intention in
relation to customer satisfaction. However, it was noted that even some
satisfied customers could switch to other brands, and those who were
dissatisfied could repurchase the brand. Given that little is known about
how other factors than customer satisfaction can affect repurchasing
intentions, this study examines the mediating effects of BL and PWOM on PCF
and customer repurchase intentions.
Cometabolic bacterial and fungal remediation as a promising strategy for recycled paper and cardboard mill wastewater treatment
Authors: Gholami Maryam , Mahvi Amir Hossein , Teimouri Fahimeh , Ehrampoush Mohammad Hassan , Jafari Nodoushan Abbasali , Jambarsang Sara , Ghaneian Mohammad Taghi 
Published: October 2022

Purpose
This paper aims to study the application of high-tolerance and flexible indigenous bacteria and fungi, along with the co-metabolism in recycled paper and cardboard mill (RPCM) wastewater treatment (WWT).

Design/methodology/approach
The molecular characterization of isolated indigenous bacteria and fungi was performed by 16S rRNA and 18S rRNA gene sequencing, respectively. Glucose was used as a cometabolic substrate to enhance the bioremediation process.

Findings
The highest removal efficiency was achieved for both chemical oxygen demand (COD) and color [78% COD and 45% color removal by Pseudomonas aeruginosa RW-2 (MZ603673), as well as approximately 70% COD and 48% color removal by Geotrichum candidum RW-4 (ON024394)]. The corresponding percentages were higher in comparison with the efficiency obtained from the oxidation ditch unit in the full-scale RPCM WWT plant.

Originality/value
Indigenous P. aeruginosa RW-2 and G. candidum RW-4 demonstrated effective capability in RPCM WWT despite the highly toxic and low biodegradable nature, especially with the assistance of glucose.
Characterizing stewardship and stakeholder inclusion in data analytics efforts: the collaborative approach of Kansas City, Missouri
Authors: Cronemberger Felippe A. , Gil-Garcia J. Ramon 
Published: October 2022

Purpose
Local governments face increasingly complex challenges related to their internal operations as well as the provision of public services. However, research on how they embrace evidence-based approaches such as data analytics practices, which could help them face some of those challenges, is still scarce. This study aims to contribute to existing knowledge by examining the data analytics practices in Kansas City, Missouri (KCMO), a city that has become prominent for engaging in data analytics use through the Bloomberg’s What Works Cities (WWC) initiative with the purpose of improving efficiency and enhancing response to local constituents.

Design/methodology/approach
This research conducted semistructured interviews with public servants who had data analytics experience at KCMO. Analysis looked for common and emerging patterns across transcripts. A conceptual framework based on related studies is built and used as the theoretical basis to assess the evidence observed in the case.

Findings
Findings suggest that data analytics practices are sponsored by organizational leadership, but fostered by data stewards who engage other stakeholders and incorporate data resources in their analytical initiatives as they tackle important questions. Those stewards collaborate to nurture inclusive networks that leverage knowledge from previous experiences to orient current analytical endeavors.

Research limitations/implications
This study explores the experience of a single city, so it does not account for successes and failures of similar local governments that were also part of Bloomberg's WWC. Furthermore, the fact that selected interviewees were involved in data analytics at least to some extent increases the likelihood that their experience with data analytics is relatively more positive than the experience of other local government employees.

Practical implications
Results suggest that data analytics benefits from leadership support and steering initiatives such as WWC, but also from leveraging stakeholder knowledge through collaborative networks to have access to data and organizational resources. The interplay of data analytics sponsored activities and organizational knowledge could be used as means of assessing local governments’ existing data analytics capability.

Originality/value
This study suggests that data analytics practices in local governments that are implementing a smart city agenda are knowledge-driven and developed incrementally through inclusive networks that leverage stakeholder knowledge and data resources. The incrementality identified suggests that data analytics initiatives should not be considered a “blank slate” practice, but an endeavor driven and sustained by data stewards who leverage stakeholder knowledge and data resources through collaborative networks.
Impacts and sensitivity analysis of imperviousness area and connectivity on surface runoff under a plot‐scale rainfall simulation experiment
Authors: Wang Yao , Zhang Xiang , Liu Yue , Liang Changmei , Xu Jing , Pan Guoyan 
Published: October 2022

AbstractUrbanization has had a major impact on runoff process, which is not fully understood. In this study, a plot‐scale rainfall‐runoff simulation experiment was conducted in an experimental field to evaluate the effects of imperviousness and its connectivity on surface runoff. A total of 11 underlying surface scenarios with different impervious area and two imperviousness connectivity conditions were designed. For each scenario, two rainfall intensities and two initial soil moistures were applied. The results show that the relationship between the surface runoff coefficient and the impervious area under fixed imperviousness connectivity, rainfall intensity, and initial soil moisture represents a strong linear trend. With high antecedent soil moisture, imperviousness arranging in disconnected pattern can lead to initially lower but later higher outflow rate compared to imperviousness arranging in connected pattern. The sensitivity of the runoff coefficient to impervious area, which represents increased runoff coefficient per unit impervious area, is negatively related to the rainfall intensity as well as the initial soil moisture but positively related to the imperviousness connectivity. These results indicate that the impacts of the impervious surface on runoff are not only related to its connectivity, but also the original soil condition before sealing: the higher infiltration capacity of the original soil, the greater hydrological impacts caused by soil sealing.
Protein arginine methyltransferase 1 upregulates matrix metalloproteinase‐2/9 expression via Zeste Homolog 2 to promote human rheumatoid arthritis fibroblast‐like synovial cell survival and metastasis
Authors: Liu Juan , Li Yongsheng , Jiang Zhen , Liu Yan , Wei Zhongcheng 
Published: October 2022

AbstractObjectiveTo explore the role of protein arginine methyltransferase 1 (PRMT1) in the development of rheumatoid arthritis (RA).MethodsFibroblast‐like synoviocytes (FLS) were isolated from synovial tissues, cultured and transfected with plasmid vector or short hairpin RNA (shRNA). The morphology and surface markers of FLS were investigated by light microscopy and flow cytometry. The expression levels of PRMT1, Zeste Homolog 2 (EZH2), matrix metalloproteinase‐2 (MMP‐2) and MMP‐9 were detected by real‐time polymerase chain reaction and Western blotting. Cell viability was tested by MTT assay, cell proliferation was assessed by EdU assay, cell invasion was evaluated by Transwell invasion test, cell migration was detected by wound healing assay, and cell apoptosis was detected by flow cytometry.ResultsThe expression of PRMT1 was elevated in RA synovial tissues compared with control tissues. FLS from control tissues showed a lower level of PRMT1 than FLS from RA tissues, and FLS from RA tissues had a stronger ability of cell survival and metastasis than those from control tissues. When silencing PRMT1 expression, FLS from RA tissues showed a decreased ability of cell survival and metastasis. Additionally, FLS from RA tissues expressed a higher level of MMP‐2 and MMP‐9. When silencing PRMT1 expression, the expression of MMP‐2 and MMP‐9 of FLS was suppressed. Furthermore, the effect of PRMT1 on FLS was mediated by EZH2.ConclusionWe found that PRMT1 had an overall effect on FLS via EZH2, which contributed to the development of RA. Hence, PRMT1 and EZH2 provide potential targets for RA treatment.
Application of active acoustic transducers in monitoring and assessment of terrestrial ecosystem health—A review
Authors: Rostami Bita , Nansen Christian 
Published: October 2022

AbstractUrbanization, agricultural production, natural resource extractions and climate change are global drivers of terrestrial ecosystem degradation and decline in ecosystem health. Assessing vegetation structures provides valuable direct and indirect information on biodiversity and ecosystem health, since plant communities govern terrestrial ecosystem functions and overall biodiversity.A growing body of literature supports the hypothesis that acoustic profiling and characterization of soundscapes may reveal natural patterns and ecosystem responses to environmental disturbances. Although assessments of ecosystem soundscapes are a promising tool for ecological monitoring, the influence of vegetation structure on acoustic indices remains largely unaddressed. An effective non‐invasive approach to monitoring ecosystem health includes use of active acoustic transducers, which convert mechanical/acoustic energy into electrical energy and visa‐versa.This article reviews and discusses possible applications (and also constraints) of active acoustic transducers in monitoring and assessments of terrestrial ecosystem health. Specifically, this article includes a brief introduction to the basic principles of sound and types of active acoustic transducers. Moreover, we provide reviews of common uses of active acoustic transducers in assessing plant structures and plant functional traits.We emphasize that active acoustic transducers can be used to analyse plant characteristics in a remote, scalable, non‐invasive and cost‐effective manner to characterize overall terrestrial ecosystem health. Suggestions and recommendations for future research and management directions that may facilitate applications of acoustic transducers to natural terrestrial landscapes are provided.
The optimum time for intravenous cannulation after induction with sevoflurane in children premedicated with dexmedetomidine
Authors: Yarimoglu Rafet , Basaran Betul , Korkusuz Muhammet , Et Tayfun , Bilge Aysegul , Toprak Hatice , Kumru Nuh 
Published: October 2022

AbstractBackgroundInhalation anesthesia is a frequently used method for anesthesia induction, especially in young children. No information is available on the optimum time for safe intravenous cannulation after inhalational induction in children with dexmedetomidine premedication. The purpose of the present study was to determine the optimal time for intravenous cannulation after induction of anesthesia with sevoflurane and nitrous oxide in children premedicated with intranasal dexmedetomidine.MethodsThis prospective and observational study was conducted by using the up–down sequential method. Children, who were aged 2–6 years with ASA physical status I, and who underwent inhalation induction for elective surgery were included in the study. Anesthesia was induced with sevoflurane and nitrous oxide after the premedication with intranasal dexmedetomidine (2 mcg/kg). Intravenous cannulation was attempted on the dorsum of the hand by an experienced anesthesiologist 4 min after the loss of the eyelash reflex in the first patient. The procedure was considered successful in patients without any movement, cough, or laryngospasm. The waiting time for cannulation was increased by 15 s if the procedure was not successful in the previous patient, and on the contrary, it was reduced by 15 s if the procedure was successful in the previous patient. The probit test was used in the analysis of up–down sequences.ResultsIn the present study in which a total of 40 patients were included, the effective cannulation time was found to be 14.40 s (95% confidence limits, 1.30–27.82 s) in 50% of the patients, and the effective cannulation time was found as 84.64 s (95% confidence limits, 69.61–218.26 s) in 95% of the patients.ConclusionsIn conclusion, we suggest that the appropriate time for cannulation is 85 s (1.45 min) after the loss of eyelash reflex in children sedated with dexmedetomidine and induction with sevoflurane and nitrous oxide‐oxygen mixture.