bluuebunny/crossref_metadata_2025_split huggingface dataset:
Well-being perception and lovemarks formation through experiential value in the context of the eco-friendly restaurant
Authors: Kim Seon Hee , Jeon Do Hyun , Jeon Hyeon Mo 
Published: June 2021

PurposeThe purpose of this study is to provide useful data for setting up eco-friendly restaurant (EFR) marketing strategies by analyzing experiential value and well-being perception, lovemarks and behavior intention, before presenting practical proposals.Design/methodology/approachThe data used in this study were based on a sample of 300 customers at “Seasonal Dining Table” in South Korea. Data were analyzed using confirmatory factor analysis and structural equation modeling.FindingsAs a result of the study, playfulness showed the greatest influence on well-being perception, followed by service excellent, aesthetics and efficiency. In addition, well-being perception was found to have a positive effect on brand love and brand respect. Finally, the role of experiential value, well-being perception and lovemarks as the determinants factors to increase the customer's behavioral intention toward EFR was confirmed.Practical implicationsThe present research informed that effectively dealing with four constituents of experiential value (efficiency, service excellence, aesthetic and playfulness) are of utmost importance in building customers' well-being perception. In addition, customers' well-being perception and lovemarks should be improved to boost the level of behavior intention for EFR.Originality/valueThis is the first study to examine experiential value, well-being perception, lovemarks and behavior intention in the context of restaurants. In particular, it is differentiated from previous foodservice studies by examining the relationship between experiential value and well-being perception.
Polyfloral honey from urban beekeeping: two-year case study of polyphenols profile and antioxidant activity
Authors: Preti Raffaella , Tarola Anna Maria 
Published: June 2021

PurposeUrban beekeeping is spreading as an answer to promote bee conservation and to develop local economies. This study aims to highlight nutritional properties of polyfloral honeys produced in urban landscape and to compare them to the countryside counterparts.Design/methodology/approachThis research has examined polyfloral urban honeys from a restricted area in Central Italy, for antioxidant capacity, total phenolic content and 15 polyphenols profile. Physicochemical parameters have been also determined to assess the overall quality of the samples. Results were compared with polyfloral honeys produced in surrounding countryside and monitored in two harvest years, 2018 and 2019. Principal component analysis was applied to the data to disclose significant differences among honeys and harvest years.FindingsUrban honeys revealed up to threefold higher total amount of polyphenols with respect to rural honeys, and in the 2019 harvest, despite water scarcity that affected the national production, demonstrated 50% higher antioxidant capacity and total phenolic content. The majority of the 15 polyphenols studied resulted in more abundant urban honeys, in particular in the 2019 harvest. The multivariate analysis evidenced how honeys could be successfully separated according to their production area and harvest year by their different polyphenols profile.Originality/valueLimited data are available on nutritional properties of urban honeys and on their content in antioxidants. The present results suggest that the cultivated urban environment, with its large floral biodiversity, can provide extra nutrition for bees, resulting in the production of a honey rich in nutraceutical compounds.
Advancing employability: applying training evaluation to employability development programs
Authors: Glerum David R. , Judge Timothy A. 
Published: June 2021

PurposeThis paper aims to apply training evaluation to employability development, providing a systematic process to assess employability development programs' effectiveness under the framework of employability capital resources (Peeters et al., 2019).Design/methodology/approachThe authors demonstrate the training evaluation process within an employability development program for US secondary school students. This process included providing validation evidence for measures of evaluation criteria across multiple samples of secondary school students and testing the effectiveness of the program utilizing a quasi-experimental design.FindingsThe authors systematically found support for the intervention's effects on training criteria (i.e. reactions, learning, behavior, results) and demonstrated the utility for training evaluation's application to employability development. The findings illustrate how a training evaluation approach can provide holistic evidence that an employability development program achieved its intended outcomes.Originality/valueEmployability is a new and burgeoning topic – however, employability development varies in how it is conceptualized, evaluated and assessed. By applying training evaluation approaches, employability development can be assessed within a unifying framework and better integrated within the Human Resource Management literature.
Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
Authors: Tommasel Antonela , Diaz-Pace Andrés , Rodriguez Juan Manuel , Godoy Daniela 
Published: June 2021

Purpose
The purpose of this paper is to present an approach for forecasting mental health conditions and emotions of a given population during the COVID-19 pandemic in Argentina based on social media contents.

Design/methodology/approach
Mental health conditions and emotions are captured via markers, which link social media contents with lexicons. First, the authors build time series models that describe the evolution of markers and their correlation with crisis events. Second, the authors use the time series for forecasting markers and identifying high prevalence points for the estimated markers.

Findings
The authors evaluated different forecasting strategies that yielded different performance and capabilities. In the best scenario, high prevalence periods of emotions and mental health issues can be satisfactorily predicted with a neural network strategy, even at early stages of a crisis (e.g. a training period of seven days).

Practical implications
This work contributes to a better understanding of how psychological processes related to crises manifest in social media, and this is a valuable asset for the design, implementation and monitoring of health prevention and communication policies.

Originality/value
Although there have been previous efforts to predict mental states of individuals, the analysis of mental health at the collective level has received scarce attention. The authors take a step forward by proposing a forecasting approach for analyzing the mental health of a given population at a larger scale.
Deconstructing the origins of Cressey’s Fraud Triangle
Authors: Tickner Peter , Button Mark 
Published: June 2021

Purpose
Cressey’s Fraud Triangle has been referenced in 8,584 studies and academic papers [1] and is a stalwart of training courses for accounting and audit practitioners and fraud investigators. The Fraud Triangle has endured for three decades in the academic and practitioner worlds. This study aims to explore the origins of Cressey’s Fraud Triangle and challenge its practical value to a fraud investigator.

Design/methodology/approach
This study has developed from analysis of a targeted literature review carried out as part of a wider study into occupational fraud and corruption.

Findings
Cressey’s name is intrinsically linked to the Fraud Triangle, although he never used the expression during his lifetime. Two of the three motivational factors identified by Cressey (1953) were developed from the earlier work of Svend Riemer (1941), who it is suggested should have equal billing with Donald Cressey for the concepts that led to the creation of the Fraud Triangle.

Practical implications
The paper illustrates the limitations of Cressey’s Fraud Triangle for practitioners.

Originality/value
Many academics and researchers have either misunderstood Cressey’s role in the development of the Fraud Triangle or been unaware of its true origins. Although the pioneering work of Riemer is referenced in a 2014 study on the Fraud Triangle by Alexander Schuchter and Michael Levi, to the best of the authors’ knowledge, this paper is the first to identify the influence of Riemer on Cressey’s thinking and the development of the Fraud Triangle.
Effect of a community of practice on knowledge sharing across boundaries: the mediating role of learning goals
Authors: Matsuo Makoto , Aihara Motohiro 
Published: June 2021

PurposeA community of practice (CoP) is believed to be a driver for knowledge creation but it can hinder knowledge sharing across boundaries. Drawing on social cognitive theory, this study aims to investigate how a CoP within a single unit promotes knowledge sharing with other units by examining the mediating effect of the members’ learning goals (LG).Design/methodology/approachStructural equation modeling was conducted using a two-wave survey data on nurses from eight Japanese hospitals (n = 263).FindingsThe results indicated that LG fully and positively mediated the effect of a CoP on the knowledge-sharing intention of one unit toward other units and that LG fully and negatively mediated the effect of a CoP on knowledge withholding (KW) from other units.Practical implicationsKnowledge managers need to note that intellectual benefits from experienced CoP can play a key role in reducing the perceived risks associated with members’ knowledge sharing and in creating effective knowledge sharing with other units.Originality/valueThe main contribution is to identify the process by which CoP promotes knowledge sharing and prevents KW across boundaries mediated through LG. This study is the first to quantitatively show how LG cross inter-professional barriers caused by CoPs.
The creation and development of learning organizations: a review
Authors: Kumar Mohit , Paul Justin , Misra Madhvendra , Romanello Rubina 
Published: June 2021

PurposeIn this paper, using the antecedents, decisions and outcomes (ADO) framework, the factors/key performance indicators (KPIs) most relevant for creating or building a learning organization (LO) are identified. This study aims to contribute to the field of knowledge management (KM) in terms of introducing KPIs to foster a business organization with a continuous learning process, mechanisms of knowledge creation and memorization.Design/methodology/approachIn total, 57 papers were selected for this systematic literature review (SLR) from Web of Science and Scopus covering the period 1985–2019.FindingsThe 12 most relevant KPIs are identified based on the literature survey conducted in the field of LO.Research limitations/implicationsThe managerial implications of this review paper will be an added advantage to the modern business organization worldwide that have adopted KM practices to foster knowledge management with information technology (IT) infrastructure. As IT infrastructure focuses on knowledge acquisition, dissemination and storage but the KPIs revealed through this review will help in transforming stored information as learning for the organization to improve its overall performance.Originality/valueThis review synthesizes prior studies and provides directions for future research.
Making personalised short breaks meaningful: a future research agenda to connect academia, policy and practice
Authors: Seddon Diane , Miller Emma , Prendergast Louise , Williamson Don , Cavaye Joyce Elizabeth 
Published: June 2021

Purpose
There is a growing policy impetus to promote carer well-being through the provision of personalised short breaks. However, understanding of what makes for a successful personalised short break is limited. This paper aims to identify key evidence gaps and considers how these could be addressed.

Design/methodology/approach
A scoping review mapping the evidence base relevant to respite and short breaks for carers for older people, including those living with dementia, was completed. National and international literature published from 2000 onwards was reviewed. The scoping review focused on well-being outcomes, identified by previous research, as being important to carers.

Findings
Most studies investigating the outcomes of short breaks for carers supporting older people focus on traditional day and residential respite care. Although there have been developments in more personalised break options for carers, research exploring their impact is scarce. There is limited knowledge about how these personalised breaks might support carers to realise important outcomes, including carer health and well-being; a life alongside caring; positive caregiving relationships; choices in caring; and satisfaction in caring. Three priority lines of inquiry to shape a future research agenda are identified: understanding what matters – evidencing personalised short break needs and intended outcomes; capturing what matters – outcomes from personalised short breaks; and commissioning, delivering and scaling up personalised short breaks provision to reflect what matters.

Originality/value
This paper contributes to the development of an outcome-focused research agenda on personalised short breaks.
Investigation on selective laser sintering of PA12: dimensional accuracy and mechanical performance
Authors: Gazzerro Achille , Polini Wilma , Sorrentino Luca 
Published: June 2021

Purpose
Selective laser sintering (SLS) has passed other techniques, thanks to its high print resolution, its ability to print microscale geometries without any additional support, its surface quality and its long-term thermal stability. However, despite the many advantages of SLS compared to fusion deposition modelling, there are still today some limitations on the materials to be printed. A limit critical from an industrial point of view is the aging of PA12 powder, i.e. the degradation of its physical and chemical performances, due to the high temperatures and the long printing cycles, thus involving a decrease of the mechanical properties of the printed parts. The purpose of this study was to charaterize mechanically and dimensionally specimens printed in PA12 through SLS by means of virgin or aged powder, i.e. powder just used for five printing cycles.

Design/methodology/approach
To achieve this aim, a set of specimens were designed, built, measured and mechanically tested; the obtained results were put into relationship with the values of the process parameters used to print them. Statistical tools to design the experiments and to analyse the obtained results were used.

Findings
The results show that the SLS process carried out through a Sintratec machine on PA12 powder has a good repeatability. To obtain the best dimensional and mechanical performances, it is needed to use virgin powder and place the part in the central zone of the printing area.

Originality/value
There are no scientific articles dealing with the influence of both the aging of the powder and the manufacturing parameters on the dimensional and mechanical characterization of specimens printed with SLS technique in PA12.
Psoriatic arthritis
Authors: Umezawa Yoshinori 
Published: June 2021

AbstractPsoriatic arthritis (PsA) is a chronic inflammatory arthritis associated with psoriasis. It is found in approximately 10% of psoriatic patients in Japan. PsA mainly affects the peripheral joints, spine, and/or sacroiliac joints. Left untreated, there is progressive, irreversible bone destruction leading to joint deformation and dysfunction. Before the era of biologic treatments, the diagnosis of PsA was difficult and available treatments were limited. Over time the pathology of PsA has become better understood, and many treatments now exist. Early detection and treatment of impending joint deformities are necessary to avoid impairment of PsA patients’ quality of life. Most patients develop the arthritis following the onset of the skin manifestations of psoriasis. The process of diagnosing PsA sometimes encounters difficulties because some patients may not show radiographic findings in the early stage, and may have normal levels of C‐reactive protein and matrix metalloproteinase‐3. For these cases, approaches such as magnetic resonance imaging or ultrasound imaging, as well as symptom questionnaires, are helpful. Currently, non‐steroidal anti‐inflammatory drugs, disease‐modifying antirheumatic drugs, and several biologics are the main treatments for PsA, which when used with an aggressive approach, will result in better patient outcomes.
Therapeutic potential of targeted‐gold nanospheres on collagen‐induced arthritis in rats
Authors: Shahen Samar M. , Mohamed Mohamed R. , Ali Moustafa R. K. , Samaka Rehab M. , Hamdy Germine M. , Talaat Roba M. 
Published: June 2021

AbstractRheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that causes functional disability due to bone destruction and severe joint pain. Current anti‐rheumatic treatments develop severe complications and do not provide complete remission. Gold nanoparticles (AuNPs) have garnered attention because of their unique physical and chemical properties. In this study, we have evaluated the therapeutic effects of gold nanospheres (AuNSs) with two different ligands (targeted‐nanoparticles) against collagen‐induced arthritis (CIA) and compared the outcomes with conventional methotrexate (MTX) and biological (infliximab) treatments. Clinical evaluation was performed by radiographic and histological examinations. The bioaccumulation of AuNSs in vital organs was assessed. The mechanistic studies targeting pro‐inflammatory/anti‐inflammatory and angiogenic mediators’ expressions were performed. Radiographic examination showed that the targeted AuNSs reduced joint space narrowing and bone erosion. Moreover, histopathological examination of rat ankle joints demonstrated that targeted AuNSs reduce bone and cartilage degeneration/inflammation. Gold nanospheres‐conjugated with nucleus localized peptide (nuclear membrane‐targeted) (AuNSs@NLS) has resolved bone destruction and inflammation compared to gold nanospheres‐conjugated at polyethylene glycol (AuNSs@PEG). Although the AuNSs accumulated in different organs in both cases, they did not induce any toxicity or tissue damage. The two different targeted AuNSs significantly suppress inflammatory and angiogenic mediators’ expression and induced anti‐inflammatory cytokine production, but the AuNSs@NLS had superior therapeutic efficacy. In conclusion, these results suggested that nuclear membrane‐targeted AuNSs effectively attenuated arthritis progression without systemic side effects.
quickLD: An efficient software for linkage disequilibrium analyses
Authors: Theodoris Charalampos , Low Tze Meng , Pavlidis Pavlos , Alachiotis Nikolaos 
Published: June 2021

AbstractSoftware tools for linkage disequilibrium (LD) analyses are designed to calculate LD among all genetic variants in a single region. Since compute and memory requirements grow quadratically with the distance between variants, using these tools for long‐range LD calculations leads to long execution times and increased allocation of memory resources. Furthermore, widely used tools do not fully utilize the computational resources of modern processors and/or graphics processing cards, limiting future large‐scale analyses on thousands of samples. We present quickLD, a stand‐alone and open‐source software that computes several LD‐related statistics, including the commonly used r2. quickLD calculates pairwise LD between genetic variants in a single region or in arbitrarily distant regions with negligible memory requirements. Moreover, quickLD achieves up to 95% and 97% of the theoretical peak performance of a CPU and a GPU, respectively, enabling 21.5× faster processing than current state‐of‐the‐art software on a multicore processor and 49.5× faster processing when the aggregate processing power of a multicore CPU and a GPU is harnessed. quickLD can also be used in studies of selection, recombination, genetic drift, inbreeding and gene flow. The software is available at https://github.com/pephco/quickLD.
Antagonism of Sigma‐1 receptor blocks heavy alcohol drinking and associated hyperalgesia in male mice
Authors: Quadir Sema G. , Tanino Sean M. , Sami Yasmine N. , Minnig Margaret A. , Iyer Malliga R. , Rice Kenner C. , Cottone Pietro , Sabino Valentina 
Published: June 2021

AbstractBackgroundAlcohol use disorder (AUD) is a complex psychiatric disease characterized by high alcohol intake as well as hyperkatifeia and hyperalgesia during withdrawal. A role for Sigma‐1 receptors (Sig‐1Rs) in the rewarding and reinforcing effects of alcohol has started to emerge in recent years, as rat studies have indicated that Sig‐1R hyperactivity may result in excessive alcohol drinking. Sig‐1R studies in mice are very scarce, and its potential role in alcohol‐induced hyperalgesia is also unknown.MethodsIn this study, we investigated the role of Sig‐1R in alcohol drinking and associated hyperalgesia in male mice, using an intermittent access 2‐bottle choice model of heavy drinking.ResultsThe Sig‐1R antagonist BD‐1063 was found dose dependently to reduce both alcohol intake and preference, without affecting either water or sucrose intake, suggesting that the effects are specific for alcohol. Notably, the ability of BD‐1063 to suppress ethanol intake correlated with the individual baseline levels of alcohol drinking, suggesting that the treatment was more efficacious in heavy drinking animals. In addition, BD‐1063 reversed alcohol‐induced hyperalgesia during withdrawal, assessed using an automatic Hargreaves test, without affecting thermal sensitivity in alcohol‐naïve animals or locomotor activity in either group.ConclusionsThese data show that Sig‐1R antagonism dose‐dependently reduced ethanol consumption in heavy drinking mice as well as its efficacy in reducing alcohol‐induced hyperalgesia. These findings provide a foundation for the development of novel treatments for AUD and associated pain states.