bluuebunny/crossref_metadata_2025_split huggingface dataset:
Staying positive among negativities: strategies employed by teachers in Sri Lankan state universities to manage their wellbeing
Authors: Fernandez-Chung Rozilini Mary , De Zoysa Sudakshi Medhani 
Published: October 2021

PurposeTeacher wellbeing is critical given its impact on students’ experience and achievement. This qualitative study provides insights into teacher wellbeing in Sri Lankan state universities. The study occurs during the coronavirus disease (COVID-19) pandemic, where institutions are stretched for resources and teachers sought better work–life balance while working from home.Design/methodology/approachThe study uses semi-structured interviews of teachers from four state universities in Sri Lanka to discover their strategies for managing teacher wellbeing and staying positive among negativities.FindingsIt concludes that the strategies can be expounded to existing research and categorized under four overarching themes: Versatility and Devotion, Pillars of Support, Conformity over Individualism, and Avoidance and Detachment. Sri Lankan university teachers, like many of their global counterparts, believe in staying positive.Research limitations/implicationsLike most qualitative research studies, if not all, this research studies the specific phenomenon of teacher wellbeing among university teachers in Sri Lanka. The findings, though supported, has its limitation to only public universities teachers thus cannot be generalized and may not apply to teacher wellbeing in private universities in Sri Lanka. Nevertheless, the application of the themes developed forms a valuable framework to support any future study of teacher wellbeing. The conceptual robustness of the findings will make this framework particularly useful for Sri Lanka and other South Asian countries.Practical implicationsThe findings will inform future studies on teacher wellbeing, particularly in other South Asian countries. This study may also be the impetus for starting a discourse on related policies in Sri Lanka.Social implicationsTeacher wellbeing positively impacts teacher relations with peers and leadership, which has direct implications on student wellbeing. Happy teachers make happy students.Originality/valueThe findings revealed eight strategies employed by Sri Lankan state university teachers. These strategies were framed under four overarching themes: Versatility and Devotion, Pillars of Support, Conformity over Individualism, and Avoidance and Detachment.
Federal sex offender registration and notification act (SORNA) offenders: sexual versatility, criminal careers and supervision outcomes
Authors: Drury Alan J. , DeLisi Matt , Elbert Michael 
Published: October 2021

Purpose
Sex offender registration and notification act (SORNA) offenders are a source of scholarly study across the social, behavioral, forensic and legal sciences with the bulk of literature focusing on the legal standing and deterrent value of sexual offender registries. Less research focuses on the offending careers of current SORNA offenders relative to other types of sexual offenders whose current offense is not SORNA. The purpose of the current study is to examine this issue empirically.

Design/methodology/approach
Using cross-sectional data from a census of male federal offenders who ever perpetrated a sexual offense from the central USA between 2016 and 2020, the current study used t-tests, logistic regression and negative binomial regression to compare current SORNA offenders to other federal correctional clients in terms of their lifetime offending history, sexual violence and compliance on federal supervision.

Findings
Current SORNA offenders are significantly more severe and versatile in their sexual offending, have more extensive criminal careers and criminal justice system involvement, and exhibit significantly increased odds of revocation on supervised release despite controls for age, race and ethnicity. However, sensitivity models that specified the federal Post-Conviction Risk Assessment reduced the effects of SORNA status to non-significance in all models.

Originality/value
SORNA offenders are potentially a significant offender group with evidence of both and given their versatile and specialized lifetime offending and noncompliance on federal supervision. However, current SORNA status is rendered spurious once a risk assessment is controlled suggesting more research is needed to evaluate whether sex offender registries posit greater crime control benefit.
Islamic apparel brand personality model
Authors: Zaki Rana M. , Kheir El Din Amr , Elseidi Reham I. 
Published: October 2021

Purpose
The Islamic modest fashion industry is growing rapidly and becoming more competitive within an increasing number of brands available in the market. Based on this reason, both marketers and designers need to create differentiation in their brands. One of the ways to create such differentiation is by establishing a brand personality. Thus, the purpose of this study is to develop a reliable measure of Islamic apparel personality that incorporates the relevant dimensions/traits Muslim females attribute to their apparel.

Design/methodology/approach
Islamic apparel brand personality model was developed based on the Qur’an verses, hadith (sayings of Prophet Muhammad), traits in Aaker’s and other Islamic brand personality models. Focus groups were used to generate a list of traits. Following this, a survey research method was used to gather data. Then, exploratory and confirmatory factor analyses were conducted on a sample of 190 Egyptian Muslim females.

Findings
This study introduces five dimensions of the Islamic apparel brand personality model, namely, simplicity, feminine, modesty, Islamic and righteousness.

Practical implications
This study contributes to the branding as well as Islamic apparel marketing literature as it is the first Islamic apparel brand personality framework. With the Islamic apparel brand personality model, Islamic apparel designers, producers and marketers can create a strong brand image, use advertising strategies effectively and ultimately attract more potential consumers.

Originality/value
The Islamic apparel brand personality model being the first of its kind is significant for the Islamic apparel industry. It reflects dimensions that are supported by the Quran and hadith and therefore suits the Muslim customer market.
On the potential of a graph attention network in money laundering detection
Authors: Sheu Guang-Yih , Li Chang-Yu 
Published: October 2021

Purpose
In a classroom, a support vector machines model with a linear kernel, a neural network and the k-nearest neighbors algorithm failed to detect simulated money laundering accounts generated from the Panama papers data set of the offshore leak database. This study aims to resolve this failure.

Design/methodology/approach
Build a graph attention network having three modules as a new money laundering detection tool. A feature extraction module encodes these input data to create a weighted graph structure. In it, directed edges and their end vertices denote financial transactions. Each directed edge has weights for storing the frequency of money transactions and other significant features. Social network metrics are features of nodes for characterizing an account’s roles in a money laundering typology. A graph attention module implements a self-attention mechanism for highlighting target nodes. A classification module further filters out such targets using the biased rectified linear unit function.

Findings
Resulted from the highlighting of nodes using a self-attention mechanism, the proposed graph attention network outperforms a Naïve Bayes classifier, the random forest method and a support vector machines model with a radial kernel in detecting money laundering accounts. The Naïve Bayes classifier produces second accurate classifications.

Originality/value
This paper develops a new money laundering detection tool, which outperforms existing methods. This new tool produces more accurate detections of money laundering, perfects warns of money laundering accounts or links and provides sharp efficiency in processing financial transaction records without being afraid of their amount.
A learning method of trust building: beyond the performance management of artistic events
Authors: Liboriussen Jakob Mathias , Nørreklit Hanne , Trenca Mihaela 
Published: October 2021

Purpose
This paper aims to address a dilemma raised in the accounting literature on how managers of creative practices can produce and use accounting measurements that support employees’ self-determination to create whilst also building trust in them to work for the interests of the organisation.

Design/methodology/approach
Using pragmatic constructivism as a paradigmatic setting, the paper develops a learning method of trust building as a way for organisations to produce and use accounting measurements. Empirical analysis of the European Capital of Culture Aarhus 2017 demonstrates the method in action.

Findings
The study displays a learning method of trust building as an effective way for organisations to account for their creative practices without intruding on the creative process of the people involved. The method involves proactive judgement and pragmatic observation of the trustworthiness of the actors’ language games, construction of quality in the conceptual structures of management narratives and measurement models, and learning that narrows the gap between the actors’ proactive judgement and the pragmatic observation of trustworthiness. Through such processes, including principles of truth, dialogical interactions, ongoing reflections and co-authorship, trust can be built in self-determining, creative actors to drive intentional results.

Research limitations/implications
The learning method of trust building extends the literature on trust building and on knowledge processes of performance measurement of actors in creative practices.

Originality/value
This is the first attempt in the accounting literature to develop a learning method of trust building.
Contingent workforce management: a holistic overview
Authors: Santra Sayoni 
Published: October 2021

Purpose
This paper aims to illustrate a simple, holistic overview of contingent workforce management.

Design/methodology/approach
This paper’s viewpoint outlines benefits and challenges that employers and employees encounter with contingent work arrangements and highlights relevant human resource (HR) practices to effectively manage contingent workforce.

Findings
Benefits to employers are cost-effective hiring solutions, filling-up skill requirements, increasing numerical flexibility and diversity and broadened talent pool. Challenges include legal ramifications, hidden costs, confidentiality and security issues, low organisational commitment and productivity. For employees, benefits are working flexibility and financial gain and gaining work experience. Challenges include dependence on economy, irregular work hours, health risks and exploitation and differential treatment by employers. “Value-adding” practices of holistic hiring, onboarding, performance management, workplace training and developing resilient organisational culture can effectively manage contingent workforce.

Research limitations/implications
This paper provides a broader outline of benefits and challenges, both from employers’ and employees’ perspectives, linked with precarious employment. Further investigations on employers’ and employee’s perspectives based on specific types of contingent work arrangements (e.g. temporary agency workers and gig workers) can give in-depth insights.

Originality/value
This paper provides a simplified framework of pros and cons of contingent employment, along with practical HR remedies to manage contingent workforce.
Assessing value of a digital company: Uber’s IPO 2019
Authors: Kandinskaia Olga , López Lubián Francisco 
Published: October 2021

Theoretical basis
Via this case, students are introduced to several alternative methods of valuation, including the valuation based on the “real options” theory. The novelty of the case is the link between valuation and the type of innovation that the company represents. The suggested valuation frameworks, which include both quantitative and qualitative assessments, are applicable not only in the context of an IPO valuation but also in the context of any kind of M&A activity.

Research methodology
This case was prepared mostly via secondary research. All the information about Uber and the industry was collected via publicly available sources. No internal documents of the company were used in the preparation of this case. The primary research consisted of an interview with the protagonist Catherine (whose name is disguised). Other disguised elements in the case include the name of the Value Investor conference organizer (Spyros Spyrou, not his real name), the country of the Value Investor conference (omitted) and the conference venue (Princess hotel, not any actual venue).

Case overview/synopsis
In 2019, Uber, the famous ride-sharing company, made waves in financial markets as the most controversial IPO valuation. With a wide range of proposed values, Uber puzzled investors, once again living up to its fame of a rebel and a disruptor. When Uber finally went public in May 2019, its IPO valuation stood at $82.4bn. The heated discussion in the media continued even after the IPO: “Is Uber worth this amount? Is there an upside potential for the investors who bought shares at the IPO price? What if this is a hype and markets are simply embracing higher valuations?”

Complexity academic level
This case can be used at the undergraduate, graduate (MBA) or executive level in finance-related courses such as Company Valuation or Valuing Innovation, which cover the topic of valuation and specifically the topic of valuing innovative companies.
Development of a new pharmacokinetic model for target‐concentration controlled infusion of vancomycin in critically ill patients
Authors: Bang Ji‐Yeon , Kang Hyun Il , Lee Hak‐Jae , Chong Yong Pil , Hong Suk‐Kyung , Lee Eun‐Kyung , Choi Byung‐Moon , Noh Gyu‐Jeong 
Published: October 2021

AbstractThe aim of this prospective study was to construct a new pharmacokinetic model of vancomycin for target‐concentration controlled infusion (TCI). As the first loading dose, 25 mg/kg of vancomycin was administered during 60–90 min. Arterial blood samples were obtained at pre‐set intervals to measure the serum concentrations of vancomycin. Population pharmacokinetic analysis was performed using the NONMEM software (ICON Development Solutions). In total, 197 serum concentration measurements from 22 patients were used to characterise the pharmacokinetics of vancomycin. A three‐compartment mammillary model best described the pharmacokinetics of vancomycin in critically ill patients. The ideal body weight was a significant covariate for the central and slow peripheral volume of distribution. The weight and age converted to categorical variables at a cut‐off of 65 years were a significant covariate for the clearance. Based on the results of stochastic simulation, the TCI method maintained the therapeutic concentration range for the longest duration. In addition, assuming that vancomycin was administered by the TCI method for 7 days, the dose was reduced by about 15% compared with the standard administration methods. The daily area under the curve values were maintained between 500 mg·h/L and 600 mg·h/L. TCI has the potential to become a new infusion method for patient‐tailored dosing in critically ill patients. To administer vancomycin via TCI in clinical practice, the newly constructed pharmacokinetic model should undergo proper external validation.
What drives income inequality in sub‐Saharan Africa and its sub‐regions? An examination of long‐run and short‐run effects
Authors: Jonathan Gimba Obadiah , Seraj Mehdi , Ozdeser Huseyin 
Published: October 2021

AbstractThis paper contributes to the understanding of the long‐run and short‐run drivers of income inequality in sub‐Saharan Africa (SSA) and its sub‐regions based on the evidence from bootstrap cointegration and autoregressive distributed lag (ARDL) model. The findings from the bootstrap cointegration test reveal a long‐run relationship exists for almost the entire SSA and its sub‐regions for the dependent variable, independent variables and the overall models. The exception being West Africa where the dependent variable was not statistically significant but the independent variables and overall model were cointegrated. The results from the ARDL show that for SSA, in the long run, economic growth decreases the uneven distribution of income whereas in the short run economic growth increases inequality. A reduction in corruption in the short run and long run makes inequality fall. Population growth in the long run and short run aggravates the distribution of income. A rise in the rate of unemployment in the short run and long run has a positive relationship with income inequality. Trade globalization in the long run heightens inequality but is not significant in the short run.
Mobilising support when the stakes are high: Mass emails affect constituent‐to‐legislator lobbying
Authors: TURNBULL‐DUGARTE STUART J. , TOWNSLEY JOSHUA , FOOS FLORIAN , BARON DENISE 
Published: October 2021

AbstractMass emails are frequently used by advocacy groups to mobilise supporters to lobby legislators. But how effective are they at inducing constituent‐to‐legislator lobbying when the stakes are high? We test the efficacy of a large‐scale email campaign conducted by the UK's main anti‐Brexit organisation. In 2019, the group prominently displayed a ‘Write to your MP’ tool on their website and assigned 119,362 supporters represented by legislators with incongruent views to one of four email messages encouraging them to write to their MP or a control condition (no email). Messages varied across two factors: whether the MP's incongruent position was highlighted, and if urgency was emphasised. We find that 3.4 per cent of treatment subjects contacted their representative, compared to 0.1 per cent of those in the control, representing an additional 3,344 emails sent to MPs. We show that there was no substitution away from the most frequently used online legislator contact platform in the United Kingdom. While, on average, position and urgency cues had no marginal effects above the standard email, the most engaged supporters were more mobilised when informed that their MP held incongruent views. This study shows that advocacy groups can use low‐cost communication techniques to mobilise supporters to lobby representatives when the stakes are high.
Rapid point‐of‐need detection of bacteria and their toxins in food using gold nanoparticles
Authors: Marin Marco , Nikolic Maria Vesna , Vidic Jasmina 
Published: October 2021

AbstractBiosensors need to meet the rising food industry demand for sensitive, selective, safe, and fast food safety quality control. Disposable colorimetric sensors based on gold nanoparticles (AuNPs) and localized surface plasmon resonance are low‐cost and easy‐to‐perform devices intended for rapid point‐of‐need measurements. Recent studies demonstrate various facile and versatile AuNPs‐based analytical platforms for the detection of bacteria and their toxins in milk, meat, and other foods. In this review, we introduce the general characteristics and mechanisms of AuNPs calorimetric biosensors, and highlight optimizations needed to strengthen and improve the quality of devices for their application in food matrices.
Reaction pathways and factors influencing nonenzymatic browning in shelf‐stable fruit juices during storage
Authors: Buvé Carolien , Pham Huong Tran Thuy , Hendrickx Marc , Grauwet Tara , Van Loey Ann 
Published: October 2021

AbstractThe occurrence of nonenzymaticbrowning in fruit juices during storage is a major quality defect. It negatively affects consumer acceptance and consumption behavior and determines the shelf‐life of these products. Although nonenzymatic browning of fruit juices has been the subject of research for a long time, the exact mechanism of the nonenzymatic browning reactions is not yet completely understood. This review paper aims to give an overview of the compounds and reactions playing a key role in nonenzymatic browning during the storage of fruit juices. The chemistry of the plausible reactions and their relative importance will be discussed. To better understand nonenzymatic browning, factors affecting these reactions will be reviewed and several strategies and methods to evaluate color changes and browning will be discussed. Nonenzymatic browning involves three main reactions: ascorbic acid degradation, acid‐catalyzed sugar degradation, and Maillard‐associated reactions. The most important NEB pathway depends on the matrix. Nonenzymatic browning is affected by many factors, such as the juice composition, the pH, the oxygen availability (packaging material), and the storage conditions. Nonenzymatic browning can thus be considered as a complex problem. To characterize color changes and browning and obtain insight into the browning mechanism of fruit juices, food scientists applied several approaches and strategies. These included the use of model systems with/without the addition of labeled compound and real systems as well as advanced analytical methods.
The impact of estimator choice: Disagreement in clustering solutions across K estimators for Bayesian analysis of population genetic structure across a wide range of empirical data sets
Authors: Stankiewicz Kathryn H. , Vasquez Kuntz Kate L. ,   Coral Microsatellite Group, Baums Iliana B. 
Published: October 2021

AbstractThe software program STRUCTURE is one of the most cited tools for determining population structure. To infer the optimal number of clusters from STRUCTURE output, the ΔK method is often applied. However, a recent study relying on simulated microsatellite data suggested that this method has a downward bias in its estimation of K and is sensitive to uneven sampling. If this finding holds for empirical data sets, conclusions about the scale of gene flow may have to be revised for a large number of studies. To determine the impact of method choice, we applied recently described estimators of K to re‐estimate genetic structure in 41 empirical microsatellite data sets; 15 from a broad range of taxa and 26 from one phylogenetic group, coral. We compared alternative estimates of K (Puechmaille statistics) with traditional (ΔK and posterior probability) estimates and found widespread disagreement of estimators across data sets. Thus, one estimator alone is insufficient for determining the optimal number of clusters; this was regardless of study organism or evenness of sampling scheme. Subsequent analysis of molecular variance (AMOVA) did not necessarily clarify which clustering solution was best. To better infer population structure, we suggest a combination of visual inspection of STRUCTURE plots and calculation of the alternative estimators at various thresholds in addition to ΔK. Disagreement between traditional and recent estimators may have important biological implications, such as previously unrecognized population structure, as was the case for many studies reanalysed here.