bluuebunny/crossref_metadata_2025_split huggingface dataset:
Body condition score and triglyceride concentrations and their associations with other markers of energy homeostasis in healthy, non-obese dogs
Authors: Gomez-Fernandez-Blanco Carlos , Peeters Dominique , Farnir Frédéric , Höglund Katja , Gouni Vassiliki , Wiberg Maria , Willesen Jakob Lundgren , Hanås Sofia , McEntee Kathleen , Tiret Laurent , Häggström Jens , Lohi Hannes , Chetboul Valérie , Fredholm Merete , Seppälä Eija , Lequarré Anne-Sophie , German Alexander James , Merveille Anne-Christine 
Published: September 2022

AbstractSerum triglyceride concentrations increase in dogs in overweight condition, which is typically assessed by body condition score (BCS). However, their associations with other markers of energy homeostasis are poorly characterized. The present study aimed to evaluate the associations between both BCS and triglyceride levels and other markers of lipid and glucose metabolism in healthy dogs in overweight condition. 534 overweight, but otherwise healthy, client-owned dogs were included. Serum concentrations of cholesterol, free fatty acids, triglycerides, insulin, glucose and fructosamine were measured. Dogs were assigned to lean (BCS: 3-5) or overweight (BCS: 6-7) categories, and linear models were used to assess the differences between BCS categories and the associations between triglycerides and the other variables, correcting for the effect of breed. Globally, “overweight” dogs had greater serum cholesterol (95% CI: 5.3-6.2 mmol/L or 205-237 mg/dL versus 5.1-5.4 mmol/L or 198-210 mg/dl, P = .003), insulin (95% CI: 17.5-22.1 μU/ml versus 16.7-18.0 μU/ml, P = .036) and were older (95% CI: 4.0-5.3 versus 3.4-3.7 years, P = .002) than lean dogs. Triglyceride concentrations were positively associated with fructosamine (r2 = 0.31, P = .001), cholesterol (r2 = 0.25, P < .001), insulin (r2 = 0.14, P = .003) and glucose (r2 = 0.10, P = .002), and negatively associated with free fatty acids (r2 = 0.11, P < .001). There was no association between triglyceride levels and age. In conclusion, both BCS and triglyceride concentrations were associated with other markers of glucose and lipid metabolism in overweight, but otherwise healthy dogs. Triglyceride concentrations were associated with an increase in insulin and fructosamine that might reflect an early-phase impairment in glucose tolerance which, surprisingly, was concurrent with lower basal free fatty acids.
Global assessment of the COVID-19 impact on IFRS 9 loan loss provisions
Authors: Engelmann Bernd , Lam Nguyen Thi Thanh 
Published: September 2022

PurposeThis article aims to analyze the impact of COVID-19 measures by governments and central banks on International Financial Reporting Standards (IFRS) 9 loan loss provisions (LLPs). Changes in the total amount of LLPs, distribution of outstanding loan balance among IFRS 9 stages and credit risk parameters used for calculation are investigated for each world region where banks report under IFRS.Design/methodology/approachData for a global selection of 105 banks reporting under IFRS were collected from 2019 to 2020 annual reports, financial statements, and Pillar III reports. These data provide the basis to empirically analyze the impact of COVID-19 on LLPs.FindingsIn most world regions Stage 2 balances increase while Stage 3 balances remain comparatively stable. The credit risk parameters used for computing LLPs remained stable in 2020. However, in China, the impact of COVID-19 on banks was not detected. Mean Stage 1 balances for Chinese banks increased slightly during the pandemic. Aside from the COVID-19 impact, we find that LLPs, credit risk parameters, and loss absorption capacities are significantly lower for banks in Canada, Oceania and Western Europe compared to those in the rest of the world.Originality/valueThere exists previous research examining the COVID-19 impact on financial stability, implementation of emergency rules and country-wide analyses to anticipate default rates depending on recovery scenarios. However, this is the first global study on the immediate impact of COVID-19 on LLPs. It reveals the significant differences between world regions and provides implications about their resilience against future credit shocks.
Managing systemic risk in emergency management, organizational resilience and climate change adaptation
Authors: Pescaroli Gianluca , Guida Kristen , Reynolds Jeremy , Pulwarty Roger S. , Linkov Igor , Alexander David E. 
Published: September 2022

PurposeThis paper applies the theory of cascading, interconnected and compound risk to the practice of preparing for, managing, and responding to threats and hazards. Our goal is to propose a consistent approach for managing major risk in urban systems by bringing together emergency management, organisational resilience, and climate change adaptation.Design/methodology/approachWe develop a theory-building process using an example from the work of the Greater London Authority in the United Kingdom. First, we explore how emergency management approaches systemic risk, including examples from of exercises, contingency plans and responses to complex incidents. Secondly, we analyse how systemic risk is integrated into strategies and practices of climate change adaptation. Thirdly, we consider organisational resilience as a cross cutting element between the approaches.FindingsLondon has long been a champion of resilience strategies for dealing with systemic risk. However, this paper highlights a potential for integrating better the understanding of common points of failure in society and organisations, especially where they relate to interconnected domains and where they are driven by climate change.Originality/valueThe paper suggests shifting toward the concept of operational continuity to address systemic risk and gaps between Emergency Management, Organizational Resilience and Climate Change Adaptation.
Role of smart technology use behaviour in enhancing tourist revisit intention: the theory of planned behaviour perspective
Authors: Zheng Kundan , Kumar Jeetesh , Kunasekaran Puvaneswaran , Valeri Marco 
Published: September 2022

PurposeThis study examines the influencing factors of smart technology use behaviour (STUB), influencing tourist satisfaction and enhancing revisit intention for the Chinese tourism destination. Further, the moderating role of place attachment on the relationship between STUB, tourist satisfaction and revisit intention has been examined.Design/methodology/approachThe study employs quantitative methodology by incorporating the planned behaviour theory to develop the hypotheses. Using an online survey link, 409 responses were collected from the tourists employing a non-probability convenience random sampling technique.FindingsThe partial least squire-structural equation modelling (PLS-SEM) results show that social influence significantly affects STUB, tourist satisfaction and revisit intention. Also, the anticipated positive behaviour has positive and significantly affects STUB and revisit intention. Finally, the findings show that tourist satisfaction significantly affects revisit intention in the tourist destinations in China.Research limitations/implicationsA quantitative research design was applied, employing a random sampling technique, and surveys were conducted with tourists only in current research. However, future research can incorporate a wide range of methodology by collecting data from other tourism stakeholders to have an in-depth evaluation of repeat visitation behaviour. Future research can enhance the current conceptual framework by including other relevant variables like negative anticipated emotions at other locations, as the current study was conducted in the Chinese context.Originality/valueThis research adds value to the tourism destination to formulate tourist satisfaction and revisit intention. Implications are provided for a more nuanced understanding and effective planning in tourism destinations while considering smart technology use.
The impact of board characteristics on the extent of earnings management: conditional evidence from quantile regressions
Authors: Usman Muhammad , Nwachukwu Jacinta , Ezeani Ernest 
Published: September 2022

PurposeThis paper aims to examine the impact of board characteristics on earnings management (EM) among UK non-financial firms.Design/methodology/approachUsing a sample of the UK Financial Times Stock Exchange 350 firms from 2010 till 2019, the authors investigated the relationship between board characteristics (board size, board gender diversity, board tenure, board independence, chief executive office-duality and board meetings) and EM by using the quantile regression technique.FindingsThis study found a non-linear association between board characteristics and discretionary accrual. The empirical evidence showed that board mechanisms reduce the extent of earnings manipulation among UK firms with higher discretionary accruals (DACC) than firms with low and medium DACC levels.Research limitations/implicationsThe results will benefit UK firms by helping them to rethink their board composition. It will also help policymakers understand how the corporate board can help ensure the quality of financial reports.Originality/valueThis study used the quantile regression approach, which helps to clarify the mixed findings of prior studies that used conventional regression techniques.
Mitigating property quality uncertainty and property fit uncertainty in online peer-to-peer accommodation platforms: an uncertainty reduction theory perspective
Authors: Yan Ruihe , Gong Xiang 
Published: September 2022

Purpose
Building upon uncertainty reduction theory, this work aims to explore how four uncertainty reduction factors (i.e. online property review, online textual description, online visual description and online instant messenger) mitigate property quality uncertainty and property fit uncertainty, which further influence Airbnb use intention.

Design/methodology/approach
This work tests the proposed research model using a structural equation modeling approach with 335 Airbnb users.

Findings
The findings reveal that the online property review, online textual description, online visual description and online instant messenger can efficiently mitigate property quality uncertainty and property fit uncertainty, which ultimately influence Airbnb use intention.

Research limitations/implications
This study provides useful insights on mitigating property uncertainty in the peer-to-peer (P2P) accommodation platforms. Researchers are encouraged to investigate the boundary conditions that influence the effectiveness of uncertainty reduction strategies in alleviating property uncertainty.

Practical implications
P2P accommodation service providers are suggested to take actionable uncertainty reduction strategies to mitigate property uncertainty in online P2P accommodation platforms.

Originality/value
First, this study advances research on P2P accommodation by identifying two key types of property uncertainty, namely, property quality uncertainty and property fit uncertainty. Second, this study extends research on P2P accommodation by proposing contextualized passive, active and interactive uncertainty reduction strategies in mitigating property uncertainty. Third, this study extends uncertainty reduction theory to the P2P accommodation context. Fourth, this study enriches uncertainty reduction theory by verifying the mediating effects of property quality uncertainty and property fit uncertainty.
Dyslexia-friendly design features for tangible user interfaces: a systematic literature review
Authors: Abdul Aziz Nurul Izzah , Husni Husniza , Hashim Nor Laily 
Published: September 2022

PurposeThe aim of this paper is to explore, analyse and summarise the potential tangible user interface (TUI) design features for dyslexics learning to read and spell.Design/methodology/approachThis study adopts a systematic literature review method through a manual search of published papers from 2011. This systematic literature review consists of three main phases starting with planning the review, conducting the review and studying the selection and reporting the results.FindingsAs the result, 10 papers were found that are considered most applicable as they met the review criteria. Based on the 10 papers, 11 design features are found in the current TUIs design features implemented in the tangible system dedicated for dyslexia and reading. The 11 design features are viewed to be fundamental and useful for the groundwork towards designing and developing a comprehensive TUIs design specifically and exclusively meant for dyslexic children learning to read and spell.Originality/valueA critical reading of past literature relating to the TUIs concept reveals that this concept still appears to be under-explored even though it was introduced two decades ago. This systematic literature review highlights directions for future research, involving the dyslexic children early in the design process towards the evaluation of the prototype and finally examining the outcome of TUIs on children's learning.
E-grocery logistics: exploring the gap between research and practice
Authors: Seghezzi Arianna , Mangiaracina Riccardo , Tumino Angela 
Published: September 2022

PurposeThis paper investigates the logistics management in the e-grocery sector. It contrasts the key issues faced by practitioners and the topics addressed in the academic literature, to identify potential misalignments between research and practice and propose avenues for future efforts.Design/methodology/approachThis work adopts a twofold methodological approach. From an academic perspective, a systematic literature review (SLR) is performed to define the topics addressed so far by scholars when analysing e-grocery logistics. From a managerial perspective, a Delphi study is accomplished to identify the most significant issues faced by logistics practitioners in the e-grocery context and the associated significance.FindingsThe study develops a conceptual framework, identifying and mapping the 9 main logistics challenges for e-grocery along 4 clusters, in the light of a logistics-related revision of the SCOR model: distribution network design (area to be served, infrastructures), order fulfilment process (picking, order storage, consolidation, delivery), logistics-related choices from other domains (product range, stock-out management) and automation. These elements are discussed along three dimensions: criticalities, basic and advanced/automation-based solutions. Finally, the main gaps are identified – in terms of both under-investigated topics (order storage and stock-out management) and investigated topics needing further research (picking and automation) – and research questions and hypotheses are outlined.Originality/valueThis paper provides a threefold contribution, revolving around the developed framework. First, it investigates the state of the art about e-grocery logistics, classifying the addressed themes. Second, it explores the main issues e-grocery introduces for logistics practitioners. Third, it contrasts the two outcomes, identifying the misalignment between research and practice, and accordingly, proposing research directions.
A secure IoT and edge computing based EV selection model in V2G systems using ant colony optimization algorithm
Authors: Anjinappa Gopinath , Bangalore Prabhakar Divakar 
Published: September 2022

Purpose
The fluctuations that occurred between the power requirements have shown a higher range of voltage regulations and frequency. The fluctuations are caused because of substantial changes in the energy dissipation. The operational efficiency has been reduced when the power grid is enabled with the help of electric vehicles (EVs) that were created by the power resources. The model showed an active load matching for regulating the power and there occurred a harmonic motion in energy. The main purpose of the proposed research is to handle the energy sources for stabilization which has increased the reliability and improved the power efficiency. This study or paper aims to elaborate the security and privacy challenges present in the vehicle 2 grid (V2G) network and their impact with grid resilience.

Design/methodology/approach
The smart framework is proposed which works based on Internet of Things and edge computations that managed to perform an effective V2G operation. Thus, an optimum model for scheduling the charge is designed on each EV to maximize the number of users and selecting the best EV using the proposed ant colony optimization (ACO). At the first, the constructive phase of ACO where the ants in the colony generate the feasible solutions. The constructive phase with local search generates an ACO algorithm that uses the heterogeneous colony of ants and finds effectively the best-known solutions widely to overcome the problem.

Findings
The results obtained by the existing in-circuit serial programming-plug-in electric vehicles model in terms of power usage ranged from 0.94 to 0.96 kWh which was lower when compared to the proposed ACO that showed power usage of 0.995 to 0.939 kWh, respectively, with time. The results showed that the energy aware routed with ACO provided feasible routing solutions for the source node that provided the sensor network at its lifetime and security at the time of authentication.

Originality/value
The proposed ACO is aware of energy routing protocol that has been analyzed and compared with the energy utilization with respect to the sensor area network which uses power resources effectively.
Information misbehaviour: modelling the motivations for the creation, acceptance and dissemination of misinformation
Authors: Wilson Thomas D. , Maceviciute Elena 
Published: September 2022

PurposeMisinformation is a significant phenomenon in today's world: the purpose of this paper is to explore the motivations behind the creation and use of misinformation.Design/methodology/approachA literature review was undertaken, covering the English and Russian language sources. Content analysis was used to identify the different kinds of motivation relating to the stages of creating and communicating misinformation. The authors applied Schutz's analysis of motivational types.FindingsThe main types of motivation for creating and facilitating misinformation were identified as “in-order-to motivations”, i.e. seeking to bring about some desired state, whereas the motivations for using and, to a significant extent, sharing misinformation were “because” motivations, i.e. rooted in the individual's personal history.Originality/valueThe general model of the motivations underlying misinformation is original as is the application of Schutz's typification of motivations to the different stages in the creation, dissemination and use of misinformation.
Psychological traits and investment decisions: the mediation mechanism of financial management behavior – evidence from the Tanzanian stock market
Authors: Kasoga Pendo Shukrani , Tegambwage Amani Gration 
Published: September 2022

PurposeThe purpose of the paper is to examine the financial management behavior (FMB) mediation mechanism in self-control, optimism, deliberative thinking and investment decisions in the Tanzanian stock market.Design/methodology/approachA sample of 268 individual investors in the Tanzanian stock market was obtained through questionnaires. The data were analyzed using structural equation modeling.FindingsThe findings show that self-control, optimism and deliberative thinking are significantly and positively related to FMB and investment decisions. The findings also confirmed the mediating role of FMB in the influence of self-control, optimism and deliberative thinking on investment decisions among Tanzanian individual investors. These findings imply that people with good self-control, optimistic and deliberative thinking are more likely to save money, have better FMB and prefer to make investment decisions.Research limitations/implicationsThe study deals with individual investors. Future research could examine the effects of psychological traits on investment decisions by adding or modifying the items of particular constructs and studying institutional investors.Practical implicationsIndividual investors can use the information to study and evaluate their financial behavior and stock investment decisions. This research can be used by security firms to better understand investor behavior, forecast future market trends and advice investors. Individual investors require psychological features to manage their behavior in various aspects, ranging from affective behavior to cognition, which are relevant for investing decisions.Originality/valueFew studies have examined the influence of self-control, optimism and deliberative thinking on the investment decisions of individual investors. The unique empirical analysis developed in this paper is that it examines the mediation mechanisms of FMB with respect to self-control, optimism and deliberative thinking and investment decisions among individual investors in the Tanzanian stock market.
“I did not realize that my teacher had taken away part of my identity”: bilingual preservice teachers’ virtual libraries project
Authors: Espinoza Katherine , Kohler Karen 
Published: September 2022

PurposeThe purpose of this study is to investigate how participating in a multicultural education course impacted bilingual preservice teachers' (BPSTs) conceptions of identity and how they were able to use their experiential knowledge to create a virtual library based on a variety of topics related to multicultural education.Design/methodology/approachThis qualitative case study examines the experiences of three BPST candidates within a multicultural education course during the fall 2020 semester. The authors focused on three preservice teachers’ written reflections, interviews and work samples based on a virtual library project.FindingsThe authors describe the critical role BPST preparation programs have in developing coursework that provides opportunities for building a positive self-identity that values life experiences. Such opportunities foster BPSTs’ ability to create lessons that are reflective of identity and diversity inclusive of culture, language, immigration and LGBTQ+.Originality/valueFor some time now, researchers have examined how teacher education programs should include opportunities to interrogate preservice teachers' own experiences in K-12. However, few researchers have directly documented how to connect these experiences to preservice teacher coursework and create classroom resources based on these critical reflections.
It is not equitable if it is not culturally sustaining: teaching and learning in 1:1 laptop schools
Authors: Jackson Iesha , Gonzales Miguel M. , Mensah Adjoa 
Published: September 2022

Purpose
The purpose of this study was to examine technological pedagogical content knowledge (TPACK) in 1:1 laptop classrooms. We evaluate how, if at all, teachers in these environments engage culturally sustaining pedagogy (CSP) with technology to meet the needs of culturally and linguistically diverse learners.

Design/methodology/approach
Data for this multiple case study were collected across three middle schools with a 1:1 laptop initiative. Thirteen teachers participated in individual interviews and 77 teachers completed an online survey. Transcribed interviews and the open-ended survey question were analyzed using an inductive, iterative process of coding according to hallmarks of TPACK and CSP.

Findings
This study reveals that while technology could be a powerful tool in fostering an equitable classroom environment, fully implementing equitable approaches in 1:1 laptop schools would require educators to develop knowledge and skills to integrate TPACK and CSP in their classroom.

Originality/value
Our study indicates that obstacles to providing equitable education for CLD learners in 1:1 classrooms are not issues of technology access but issues of disparities perpetuated by missed opportunities to fully engage CSP as a means of challenging the status quo. Tackling this in 1:1 environments would require educators to develop knowledge and skills to engage culturally sustaining TPACK in their classroom.