bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk governance and risk disclosure quality: an empirical evidence
Authors: Erin Olayinka , Okoh Johnson Ifeanyi , Okika Nkiru 
Published: October 2023

PurposeIn recent time, stakeholders have called on corporate organizations to develop risk governance (RG) model that could strengthen effective risk disclosure quality (RDQ). Based on this premise, the purpose of this study is to examine the influence of RG on RD quality of 120 corporate organizations.Design/methodology/approachRG was measured by board risk committee size, board risk committee independence, board risk committee gender diversity, board risk committee expertise, board risk committee effectiveness, chief risk officer (CRO) presence and enterprise risk management (ERM) framework. This study has used both ordered logistic regression and probit regression to analyze the data set.FindingsThe number of members on the board risk committee, the proportion of women on that committee, the board expertise, the committee’s effectiveness, the presence of a CRO and the existence of an ERM framework were all found to have an impact on the quality of the risk information disclosed.Practical implicationsThe study emphasizes the need for strong collaboration between the corporate board and external assurance in enhancing the quality of RD.Originality/valueThe findings contribute to growing literature in the area of RG and RD in Nigeria and by extension other sub-Saharan African countries.
LGBTQ hotel selection criteria: a thematic analysis method
Authors: Herjanto Halimin , Garza Regina Falcon , Amin Muslim 
Published: October 2023

PurposeThis study aimed to investigate the lesbian, gay, bisexual, transgender and queer (LGBTQ) hotel selection criteria.Design/methodology/approachA thematic analysis was performed to explore 104 LGBTQ traveler comments based on TripAdvisor's top five LGBTQ hotels in Thailand.FindingsThe results indicated that tangible and intangible hotel attributes influence the LGBTQ community's hotel selection.Practical implicationsThe results emphasize the need for hoteliers to understand the diversity of the LGBTQ community's hotel selection criteria and adjust or adopt different marketing strategies to engage and attract LGBTQ travelers.Originality/valueThis study contributes to the tourism literature by showing the importance of recognizing the LGBTQ community's hotel selection criteria and providing recommendations to improve product quality and services of hotels.
Exploring the predictive power of ANN and traditional regression models in real estate pricing: evidence from Prishtina
Authors: Hoxha Visar 
Published: October 2023

PurposeThe purpose of the study is to examine the efficiency of linear, nonlinear and artificial neural networks (ANNs), in predicting property prices.Design/methodology/approachThe present study uses a dataset of 1,468 real estate transactions from 2020 to 2022, obtained from the Department of Property Taxes of Republic of Kosovo. Beginning with a fundamental linear regression model, the study tackles the question of overlooked nonlinearity, employing a similar strategy like Peterson and Flanagan (2009) and McCluskey et al. (2012), whereby ANN's predictions are incorporated as an additional regressor within the ordinary least squares (OLS) model.FindingsThe research findings underscore the superior fit of semi-log and double-log models over the OLS model, while the ANN model shows moderate performance, contrary to the conventional conviction of ANN's superior predictive power. This is notably divergent from the prevailing belief about ANN's superior predictive power, shedding light on the potential overestimation of ANN's efficacy.Practical implicationsThe study accentuates the importance of embracing diverse models in property price prediction, debunking the notion of the ubiquitous applicability of ANN models. The research outcomes carry substantial ramifications for both scholars and professionals engaged in property valuation.Originality/valueDistinctively, this research pioneers the comparative analysis of diverse models, including ANN, in the setting of a developing country's capital, hence providing a fresh perspective to their effectiveness in property price prediction.
Enhancing virtual instruction: leveraging AI applications for success
Authors: Anna Nove E. Variant , Novian Rayhan Musa , Ismail Noraini 
Published: October 2023

Purpose
This paper aims to describe several artificial intelligence (AI)-based applications that librarians can use to serve and design virtual library instruction, so it will be more effective and efficient.

Design/methodology/approach
The approach involves a comprehensive review of AI-based applications that bring benefits to librarian to enhance the virtual instructional services (AI). This study explores the existing papers to reveal the potential use of AI for research consultation, designing the instructional services and conducting evaluation of the program.

Findings
There are some AI-based applications that are available for free that will help instructional librarian jobs. Librarians use the AI to increase effectiveness of the services. The AI-based applications that can be used to support instructional services on research inquiries include virtual assistance, knowledge mapping and note making, and to support designing virtual instruction, librarians can use design apps, image generators, voice generator, grammar checker and paraphrasing.

Originality/value
There are many studies on AI at the library; however, it’s still rare a paper studied AI-based application that potentially will bring benefit for virtual instructional services. This paper will give overview of AI application that will help instructional librarian on transactions with users and help librarians to create innovative instructional media.
Characteristics of platform providers in collaborative consumption: a derivation of archetypes
Authors: Lange Francie , Peters Anna , Kanbach Dominik K. , Kraus Sascha 
Published: October 2023

PurposeThis study aims to investigate different types of platform providers (PPs) to gain a deeper understanding of the characteristics and underlying logic of this group within collaborative consumption (CC). As CC occurs with three groups of actors (PP, peer service provider and customer) and is predominantly viewed from the customer perspective, this study offers insights from the under-researched PP perspective.Design/methodology/approachThis research applies a multiple case study approach and analyzes descriptively and thematically 92 cases of CC PPs gathered through the Crunchbase database.FindingsThe authors derive four archetypes of CC PPs, namely, the hedonist, functionalist, environmentalist and connector, that differ in their offered values, dominating motives and activities across industries.Research limitations/implicationsThe authors conceptualize CC by clearly describing the four archetypes and their characteristics. However, further research would benefit from including databases other than Crunchbase.Practical implicationsPPs need to understand their value offerings and customer preferences to develop convincing value propositions and offer engaging activities. PPs would benefit from a more active social media presence to build strong relations with customers and peer service providers to effectively communicate their values.Originality/valueThe paper is pioneering as it encompasses the perspective of CC PPs and operationalizes the concept of CC. The authors address the lack of research on CC by conducting an extensive case study.
A novel coexistent resilience index to evaluate the supply chain resilience of industries using fuzzy logic
Authors: Narassima M.S. , Gedam Vidyadhar , Gunasekaran Angappa , Anbuudayasankar S.P. , Dwarakanath M. 
Published: October 2023

Purpose
This study aims to explore supply chain resilience (SCR) and provides a unique resilience index. The work measures the resilience status of 37 organizations across 22 industries and provides insight into accessing the supply chain (SC) vulnerability in an uncertain environment.

Design/methodology/approach
This study involves measuring the resilience status of 37 organizations across 22 industries based on a subjective decision-making approach using fuzzy logic. Experts from industries rated the importance and level of implementation of 33 attributes of SCR, which are used to develop a fuzzy index of implementation that explains the resilience status of organizations.

Findings
A novel coexistent resilience index is computed based on mutualism to exhibit the proportion of contribution or learning of each attribute of an organization in an industry. The research will enhance the response plans and formation of strategic alliances for mutual coexistence by industry.

Research limitations/implications
Evidence-based interpretations and suggestions are provided for each industry to enhance resilience through coexistence.

Originality/value
The work uniquely contributes to academic literature and SC strategy. The novel coexistent resilience index is computed based on mutualism, facilitating researchers to access SC resiliency.
Healthy and quality food attitudes and lifestyle: a generational cohort comparison
Authors: Savelli Elisabetta , Murmura Federica , Bravi Laura 
Published: October 2023

PurposeThe purpose of this study is to investigate how the different generations of consumers behave in the field of healthy and quality food consumption, considering their perceptions about healthy attributes and healthy eating style, what are the main trusted sources influencing consumption or the attention towards healthy and quality food, how do they behave towards healthy and quality foods and which benefits and barriers affect their consumption.Design/methodology/approachData for this study were obtained from a questionnaire survey carried out over a six-month period in 2021. The questionnaire was administered online. The sampling procedure was based on a convenient non-random sampling method applied to the Italian population aged between 18 and 75 years old. The data collection process resulted in 1,646 completed questionnaires.FindingsThe results show that, in line with the theory of generational cohorts, each generation has its own specificities regarding food behaviour. The study reveals a highly sensitive approach towards healthy and quality food consumption from both Z-ers and the Baby Boomers, whilst X-ers are quite aligned with the other generations. Millennials show specific, sometimes contradictory, attitudes and habits.Originality/valueThe present results offer new insights into the analysis of healthy and quality food consumption, highlighting significant differences amongst generations, which can inspire public and private intervention aimed at encouraging the overall attention and consumption of healthy and quality food with related implications in terms of society's well-being and longevity improvements.
Contaminated fungi in dried salted fishes: Isolation, identification, and their inhibition by chitooligosaccharide‐gallic acid conjugate
Authors: Buatong Jirayu , Preedanon Sita , Mittal Ajay , Palamae Suriya , Benjakul Soottawat 
Published: October 2023

AbstractContaminated fungi on dried salted fish of three species including Talang queenfish (TQF, Scomberroides commersonianus), Hamilton's thryssa fish (HTF, Thryssa hamiltonii), and Cobia fish (CF, Rachycentron canadum) were isolated and identified. One hundred and sixty‐nine isolates were obtained from TQF and HTF, respectively, while no fungi were detected in CF. The dominant genera were Aspergillus spp. (n = 79), Penicillium spp. (n = 60), and non‐sporulating fungi (n = 30). The representative groups of Aspergillus spp. (n = 6) and Penicillium spp. (n = 3) based on different morphological characteristics were selected for species identification by molecular methods involving ITS1‐5.8s‐ITS2 region and Matrix‐Assisted Laser Desorption/Ionization Time‐of Flight Mass Spectrometer (MALDI‐TOF MS) analysis. The nine isolates were identified to be Aspergillus versicolor (n = 2), Aspergillus montevidensis (n = 3), Penicillium citrinum (n = 3), and Aspergillus sp. (n = 1). The antifungal activity of chitooligosaccharide‐gallic acid (COS‐GAL) conjugate against A. versicolor F1/10M9, A. montevidensis F1/30M20, and P. citrinum F1/23M14 was examined. The minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) values were in the range of 0.625–2.5 mg/mL and 1.25–10 mg/mL, respectively. COS‐GAL conjugate at the concentration of 5 mg/mL completely inhibited the spore germination of A. versicolor F1/10M9 and P. citrinum F1/23M14 after 72 h of treatment. COS‐GAL conjugate at 4 × MIC mainly affected the mycelium of A. versicolor F1/10M9 and P. citrinum F1/23M14 after treatment with COS‐GAL conjugate for 3 days by coating mycelium surface and reducing the size of mycelium. Therefore, COS‐GAL conjugate could be used as a food additive to inhibit or prevent the growth of fungi contaminated in dried salted fish or other relevant products.Practical ApplicationDuring processing, dried salted fish can be contaminated with fungi, which may cause food poisoning and food spoilage. The contaminated fungi are capable of producing mycotoxin that is harmful to consumers. Synthetic food preservatives have long been used to inhibit fungal growth, but the side effects to consumers are of concern. Chitooligosaccharide is a nontoxic chitosan derivative produced from shrimp shell and its conjugate namely chitooligosaccharide‐gallic acid conjugate showed high efficacy in inhibiting the growth of fungi including Aspergillus spp. and Penicillium spp. Therefore, it can serve as a natural alternative preservative for the prevention of fungal growth in dried salted fish.
Multiresolution Categorical Regression for Interpretable Cell-Type Annotation
Authors: Molstad Aaron J. , Motwani Keshav 
Published: October 2023

Abstract
In many categorical response regression applications, the response categories admit a multiresolution structure. That is, subsets of the response categories may naturally be combined into coarser response categories. In such applications, practitioners are often interested in estimating the resolution at which a predictor affects the response category probabilities. In this paper, we propose a method for fitting the multinomial logistic regression model in high dimensions that addresses this problem in a unified and data-driven way. Our method allows practitioners to identify which predictors distinguish between coarse categories but not fine categories, which predictors distinguish between fine categories, and which predictors are irrelevant. For model fitting, we propose a scalable algorithm that can be applied when the coarse categories are defined by either overlapping or nonoverlapping sets of fine categories. Statistical properties of our method reveal that it can take advantage of this multiresolution structure in a way existing estimators cannot. We use our method to model cell-type probabilities as a function of a cell's gene expression profile (i.e., cell-type annotation). Our fitted model provides novel biological insights which may be useful for future automated and manual cell-type annotation methodology.
Genotype–phenotype correlation for extracolonic aggressive phenotypes in patients with familial adenomatous polyposis
Authors: Shimamoto Yusaku , Takeuchi Yoji , Ishiguro Shingo , Nakatsuka Shin‐ichi , Yunokizaki Hiroshi , Ezoe Yasumasa , Nakajima Takeshi , Tanaka Kumiko , Ishihara Ryu , Takayama Tetsuji , Yoshida Teruhiko , Sugano Kokichi , Mutoh Michihiro , Ishikawa Hideki 
Published: October 2023

AbstractFamilial adenomatous polyposis (FAP) patients develop various life‐threatening extracolonic comorbidities that appear individually or within a family. This diversity can be explained by the localization of the adenomatous polyposis coli (APC) variant, but few reports provide definitive findings about genotype–phenotype correlations. Therefore, we investigated FAP patients and the association between the severe phenotypes and APC variants. Of 247 FAP patients, 126 patients from 85 families identified to have APC germline variant sites were extracted. These sites were divided into six groups (Regions A to F), and the frequency of severe comorbidities was compared among the patient phenotypes. Of the 126 patients, the proportions of patients with desmoid tumor stage ≥III, number of FGPs ≥1000, multiple gastric neoplasms, gastric neoplasm with high‐grade dysplasia, and Spigelman stage ≥III were 3%, 16%, 21%, 12%, and 41%, respectively, while the corresponding rates were 30%, 50%, 70%, 50%, and 80% in patients with Region E (codons 1398–1580) variants. These latter rates were significantly higher than those for patients with variants in other regions. Moreover, the proportion of patients with all three indicators (desmoid tumor stage ≥III, number of FGPs ≥1000, and Spigelman stage ≥III) was 20% for those with variants in Region E and 0% for those with variants in other regions. Variants in Region E indicate aggressive phenotypes, and more intensive management is required.
Unraveling brain fog in post‐COVID syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms
Authors: Delgado‐Alonso Cristina , Díez‐Cirarda María , Pagán Josué , Pérez‐Izquierdo Carlos , Oliver‐Mas Silvia , Fernández‐Romero Lucía , Martínez‐Petit Álvaro , Valles‐Salgado María , Gil‐Moreno María José , Yus Miguel , Matías‐Guiu Jorge , Ayala José Luis , Matias‐Guiu Jordi A. 
Published: October 2023

AbstractBackground and purpose“Brain fog” is a frequent and disabling symptom that can occur after SARS‐CoV‐2 infection. However, its clinical characteristics and the relationships among brain fog and objective cognitive function, fatigue, and neuropsychiatric symptoms (depression, anxiety) are still unclear. In this study, we aimed to examine the characteristics of brain fog and to understand how fatigue, cognitive performance, and neuropsychiatric symptoms and the mutual relationships among these variables influence subjective cognitive complaints.MethodsA total of 170 patients with cognitive complaints in the context of post‐COVID syndrome were evaluated using a comprehensive neuropsychological protocol. The FLEI scale was used to characterize subjective cognitive complaints. Correlation analysis, regression machine‐learning algorithms, and mediation analysis were calculated.ResultsCognitive complaints were mainly attention and episodic memory symptoms, while executive functions (planning) issues were less often reported. The FLEI scale, a mental ability questionnaire, showed high correlations with a fatigue scale and moderate correlations with the Stroop test, and anxiety and depressive symptoms. Random forest algorithms showed an R2 value of 0.409 for the prediction of FLEI score, with several cognitive tests, fatigue and depression being the best variables used in the prediction. Mediation analysis showed that fatigue was the main mediator between objective and subjective cognition, while the effect of depression was indirect and mediated through fatigue.ConclusionsBrain fog associated with COVID‐19 is mainly characterized by attention and episodic memory, and fatigue, which is the main mediator between objective and subjective cognition. Our findings contribute to understanding the pathophysiology of brain fog and emphasize the need to unravel the main mechanisms underlying brain fog, considering several aspects.
The adverse consequences of not using sunscreens
Authors: Young Antony R. 
Published: October 2023

AbstractThe adverse effects of solar ultraviolet radiation (UVR) on normal skin are well established, especially in those with poorly melanized skin. Clinically, these effects may be classified as acute, such as erythema or chronic such as keratinocyte and melanocyte skin cancers. Apart from skin type genetics, clinical responses to solar UVR are dependent on geophysical (e.g., solar intensity) and behavioural factors. The latter are especially important because they may result in ‘solar overload’ with unwanted clinical consequences and ever greater burdens to healthcare systems. Correctly used, sunscreens can mitigate the acute and chronic effects of solar UVR exposure. Laboratory studies also show that sunscreens can inhibit the initial molecular and cellular events that are responsible for clinical outcomes. Despite public health campaigns, global trends continue to show increasing incidence of all types of skin cancer. Large‐scale epidemiological studies have shown the benefits of sunscreen use in preventing skin cancer, though it is likely that sunscreen use has not been optimal in such studies. It is evident that without substantial changes in sun‐seeking behaviour, sunscreen use is a very important part of the defence against the acute and chronic effects of solar exposure. Ideally, sunscreens should be able to provide the level of protection that reduces the risk of skin cancer in susceptible skin types to that observed in heavily melanized skin.
Intergenerational transmission or local labour market context? A comparative analysis of the formation of work value patterns in 65 European regions
Authors: Hörisch Felix , Weiss Julia 
Published: October 2023

AbstractThis article analyses the driving factors behind the formation of individual work values in European welfare states. By comparing relative preferences for extrinsic and intrinsic work values, we shed light on the discussion of the effects of intergenerational transmission and the structuring effects of labour market policies and regional opportunity structures on the formation of work values. Therefore, a multilevel analysis is applied using the innovative CUPESSE data set, which provides data on young adults and their parents in 65 NUTS‐1‐regions from 11 European countries. The results show that individual work values of young Europeans are most substantively shaped by the respective values of their parents. Furthermore, we demonstrate that individual characteristics such as sex, education and personal unemployment experiences determine preferences for work values. Finally, the paper shows that the local labour market context and welfare state arrangements also play a decisive role in the formation of individual work values.