bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding and studying value as a duality
Authors: Dole Gregory , Duxbury Linda 
Published: July 2024

Purpose
To cope successfully with the pressures imposed by a devastating pandemic and other challenges, companies and policymakers need to look at how they conceptualize, define, measure and operationalize “value”. This paper aims to support this conversation.

Design/methodology/approach
This study presents a historical review of how the value construct has been conceptualized over time, demonstrating that its history is one of tension and debate with conceptualizations swinging between objective (i.e. the value of something exists independent of the observers) and subjective (i.e. the value of something depends on the personal response of the observer to what is being considered) views over time.

Findings
This paper outlines the implications to researchers of value’s low construct clarity, offering suggestions designed to exploit rather than ignore the duality of the value construct. Instead of thinking of the value construct as being subjective or objective, this study recommends that scholars consider value’s objectivity and subjectivity as being interrelated and complementary. The paper recommends that researchers use both quantitative and qualitative methodologies in studying this construct.

Research limitations/implications
A major limitation of this paper is the word count limitation restricting the extent to which this paper could explore a more comprehensive list of the conceptualizations of value throughout history.

Practical implications
This paper presents practitioners with a nuanced understanding of value that should assist those interested in examining the worth of investments with observable expenses but less quantifiable outputs.

Originality/value
The authors have not found a similar analysis of the various conceptualizations of value.
Brand equity and financial performance: an institutional view
Authors: Cheng Bilu , Hou Siyu 
Published: July 2024

PurposeThe purpose of this study is to investigate the influence of brand equity on corporate financial performance across various institutional factors in China, encompassing macro (regional economic development and product market development), meso (industry uncertainty), and micro (CEO overseas experience) levels.Design/methodology/approachUsing archival data related to Chinese listed companies, this study employs standard error combined with fixed effect regression for model estimation to empirically evaluate the impact of brand equity on financial performance (Tobin’s q) and its boundary effects.FindingsThis study reveals that in China, the influence of brand equity on Tobin’s q isn’t significant. However, when considering institutional factors across various levels, its impact becomes significant. Specifically, the positive effect of brand equity on Tobin’s q in China is more pronounced in regions with higher economic or product market development, industries with high uncertainty, or when the CEO has overseas experience.Research limitations/implicationsThis study enriches the brand-related marketing literature in China and highlights the potential underperformance of brand equity within this context. Furthermore, this study advances the integration of resource-based view with institutional theory by combining brand equity with institutional factors at the macro-, meso-, and micro-level in China.Originality/valueThis study focuses on brand performance in China, the largest emerging market, emphasizing the importance of integrating brand equity with diverse institutional factors to amplify its beneficial influence on financial performance.
Developing individual capability in organizations through the promotion of heutagogy
Authors: Stoten David William 
Published: July 2024

Purpose
This paper aims to address the United Nations’ Sustainable Development Goal 4 “quality education” through the adoption of heutagogic ideas in improving work-based learning for individuals.

Design/methodology/approach
This paper locates a discussion of heutagogy within the wider context of vocational and higher education, as well as through reference to the theoretical discourse on learning theory.

Findings
Heutagogy is concerned with the development of individual capability through the creation of a learner-determined curriculum that is attuned to professional goals. Organizations that adopt heutagogic approaches enhance corporate adaptiveness through personalized learning.

Originality/value
This briefing provides the reader with an accessible insight into both the individual and organizational benefits of adopting heutagogic ideas in professional development. As organizations confront an increasingly uncertain external environment, this paper offers an insight into how to develop individual capability.
Forecasting daily total pollen concentrations on a global scale
Authors: Makra László , Coviello Luca , Gobbi Andrea , Jurman Giuseppe , Furlanello Cesare , Brunato Mauro , Ziska Lewis H. , Hess Jeremy J. , Damialis Athanasios , Garcia Maria Pilar Plaza , Tusnády Gábor , Czibolya Lilit , Ihász István , Deák Áron József , Mikó Edit , Dorner Zita , Harry Susan K. , Bruffaerts Nicolas , Packeu Ann , Saarto Annika , Toiviainen Linnea , Louna‐Korteniemi Maria , Pätsi Sanna , Thibaudon Michel , Oliver Gilles , Charalampopoulos Athanasios , Vokou Despoina , Przedpelska‐Wasowicz Ewa Maria , Guðjohnsen Ellý Renée , Bonini Maira , Celenk Sevcan , Ozaslan Cumali , Oh Jae‐Won , Sullivan Krista , Ford Linda , Kelly Michelle , Levetin Estelle , Myszkowska Dorota , Severova Elena , Gehrig Regula , Calderón‐Ezquerro María Del Carmen , Guerra César Guerrero , Leiva‐Guzmán Manuel Andres , Ramón Germán Darío , Barrionuevo Laura Beatriz , Peter Jonny , Berman Dilys , Katelaris Connie H. , Davies Janet M. , Burton Pamela , Beggs Paul J. , Vergamini Sandra María , Valencia‐Barrera Rosa María , Traidl‐Hoffmann Claudia 
Published: July 2024

AbstractBackgroundThere is evidence that global anthropogenic climate change may be impacting floral phenology and the temporal and spatial characteristics of aero‐allergenic pollen. Given the extent of current and future climate uncertainty, there is a need to strengthen predictive pollen forecasts.MethodsThe study aims to use CatBoost (CB) and deep learning (DL) models for predicting the daily total pollen concentration up to 14 days in advance for 23 cities, covering all five continents. The model includes the projected environmental parameters, recent concentrations (1, 2 and 4 weeks), and the past environmental explanatory variables, and their future values.ResultsThe best pollen forecasts include Mexico City (R2(DL_7) ≈ .7), and Santiago (R2(DL_7) ≈ .8) for the 7th forecast day, respectively; while the weakest pollen forecasts are made for Brisbane (R2(DL_7) ≈ .4) and Seoul (R2(DL_7) ≈ .1) for the 7th forecast day. The global order of the five most important environmental variables in determining the daily total pollen concentrations is, in decreasing order: the past daily total pollen concentration, future 2 m temperature, past 2 m temperature, past soil temperature in 28–100 cm depth, and past soil temperature in 0–7 cm depth. City‐related clusters of the most similar distribution of feature importance values of the environmental variables only slightly change on consecutive forecast days for Caxias do Sul, Cape Town, Brisbane, and Mexico City, while they often change for Sydney, Santiago, and Busan.ConclusionsThis new knowledge of the ecological relationships of the most remarkable variables importance for pollen forecast models according to clusters, cities and forecast days is important for developing and improving the accuracy of airborne pollen forecasts.
CYP2B6 and ABCB1 genotypes predict methadone plasma exposure among patients on maintenance therapy against opioid addictions in Tanzania
Authors: Mugusi Sabina , Mnkugwe Rajabu Hussein , Sanga Anna A. , Salahuddin Azreen , Barclay Victoria , Shayo Grace , Dahl Marja‐Liisa , Aklillu Eleni 
Published: July 2024

AbstractAimsMethadone maintenance therapy (MMT) exhibits significant variability in pharmacokinetics and clinical response, partly due to genetic variations. However, data from sub‐Saharan African populations are lacking. We examined plasma methadone variability and pharmacogenetic influences among opioid‐addicted Tanzanian patients.MethodsPatients attending MMT clinics (n = 119) in Tanzania were genotyped for common functional variants of the CYP3A4, CYP3A5, CYP2A6, CYP2B6, CYP2C19, CYP2D6, ABCB1, UGT2B7 and SLCO1B1 genotypes. Trough plasma concentrations of total methadone, S‐methadone (S‐MTD) and R‐methadone (R‐MTD), with their respective metabolites, 2‐ethylidene‐1,5‐dimethyl‐3,3‐diphenylpyrrolidine (EDDP), were quantified using liquid chromatography–tandem mass spectrometry (LC–MS/MS). The methadone‐to‐EDDP metabolic ratio (MMR) was used to categorize the phenotype.ResultsThe proportions of MMR‐predicted ultrarapid, extensive, intermediate and slow methadone metabolizer phenotypes were 2.5%, 58.2%, 23.7% and 15.6%, respectively. CYP2B6 genotype significantly correlated with S‐methadone (P = .006), total methadone (P = .03), and dose‐normalized methadone plasma concentrations (P = .001). Metabolic ratios of R‐methadone (R‐MTD/R‐EDDP), S‐methadone (S‐MTD/S‐EDDP), and total methadone (MMR) were significantly higher among patients homozygous for defective variants (*6 or *18) than heterozygous or CYP2B6*1/*1 genotypes (P < .001). The metabolic ratio for S‐MTD and total methadone was significantly higher among ABCB1c.3435T/T than in the C/C genotype. No significant effect of CYP2D6, CYP2C19, CYP3A4, CYP3A5, CYP2A6, UGT2B7 and SLCO1B1 genotypes on S‐methadone, R‐methadone, or total methadone was observed.ConclusionsApproximately one in six opioid‐addicted Tanzanian patients are methadone slow metabolizers, influenced by genetic factors. Both the CYP2B6 and ABCB1 genotypes are strong predictors of methadone metabolic capacity and plasma exposure. Further investigation is needed to determine their predictive value for methadone treatment outcomes and to develop genotype‐based dosing algorithms for safe and effective therapy.
Co‐creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education
Authors: Bayer Vaclav , Mulholland Paul , Hlosta Martin , Farrell Tracie , Herodotou Christothea , Fernandez Miriam 
Published: July 2024

AbstractEducational outcomes from traditionally underrepresented groups are generally worse than for their more advantaged peers. This problem is typically known as the awarding gap (we use the term awarding gap over ‘attainment gap’ as attainment places the responsibility on students to attain at equal levels) and continues to pose a challenge for educational systems across the world. While Learning Analytics (LA) dashboards help identify patterns contributing to the awarding gap, they often lack stakeholder involvement, offering very little support to institutional Equality, Diversity and Inclusion (EDI) leads or educators to pinpoint and address these gaps. This paper introduces an innovative EDI LA dashboard, co‐created with diverse stakeholders. Rigorously evaluated, the dashboard provides fine‐grained insights and course‐level analysis, empowering institutions to effectively address awarding gaps and contribute to a diverse and inclusive higher education landscape.
Practitioners notesWhat is already known about this topic

Traditionally underrepresented groups face educational disparities, commonly known as the awarding gap.
Underachievement is a complex multi‐dimensional problem and cannot be solely attributable to individual student deficiencies.
LA dashboards targeting this specific problem are often not public, there is little research about them, and are frequently designed with little involvement of educational stakeholders.
What this paper adds

Pioneers the introduction of a dashboard specifically designed to address the awarding gap problem.
Emphasises the significant data needs of educational stakeholders in tackling awarding gaps.
Expands the design dimensions of Learning Analytics (LA) by introducing a specific design approach rooted in established user experience (UX) design methods.
Implications for practice and/or policy

Insights from this study will guide practitioners, designers, and developers in creating AI‐based educational systems to effectively target the awarding gap problem.
Uveal melanoma distant metastasis prediction system: A retrospective observational study based on machine learning
Authors: Wu Shi‐Nan , Qin Dan‐Yi , Zhu Linfangzi , Guo Shu‐Jia , Li Xiang , Huang Cai‐Hong , Hu Jiaoyue , Liu Zuguo 
Published: July 2024

AbstractUveal melanoma (UM) patients face a significant risk of distant metastasis, closely tied to a poor prognosis. Despite this, there is a dearth of research utilizing big data to predict UM distant metastasis. This study leveraged machine learning methods on the Surveillance, Epidemiology, and End Results (SEER) database to forecast the risk probability of distant metastasis. Therefore, the information on UM patients from the SEER database (2000–2020) was split into a 7:3 ratio training set and an internal test set based on distant metastasis presence. Univariate and multivariate logistic regression analyses assessed distant metastasis risk factors. Six machine learning methods constructed a predictive model post‐feature variable selection. The model evaluation identified the multilayer perceptron (MLP) as optimal. Shapley additive explanations (SHAP) interpreted the chosen model. A web‐based calculator personalized risk probabilities for UM patients. The results show that nine feature variables contributed to the machine learning model. The MLP model demonstrated superior predictive accuracy (Precision = 0.788; ROC AUC = 0.876; PR AUC = 0.788). Grade recode, age, primary site, time from diagnosis to treatment initiation, and total number of malignant tumors were identified as distant metastasis risk factors. Diagnostic method, laterality, rural–urban continuum code, and radiation recode emerged as protective factors. The developed web calculator utilizes the MLP model for personalized risk assessments. In conclusion, the MLP machine learning model emerges as the optimal tool for predicting distant metastasis in UM patients. This model facilitates personalized risk assessments, empowering early and tailored treatment strategies.
Are milk quota prices a rational investment? Modeling quotas as financial assets
Authors: Barichello Richard R. , Vercammen James , Zammit‐Maempel Benjamin 
Published: July 2024

AbstractOur objective in this paper is to examine the growth of the price of farm milk quotas in Canada, to shed light on their patterns of growth within the last 15 years. Our quota price model is based on the Gordon growth model, supplemented by some important characteristics of the milk quota market. Our explanatory variables include the quota rental price, interest rate, and expectations of both price and quantity growth, all for the province of Alberta over the 2009–2023 time period. Our economic model of quota prices performs well by giving results with the predicted signs for all variables in our model and high levels of statistical significance except for expectations of quantity allocations when entered separately. The model has two variants, one with the expectation of growth in quota rents and the other with the expectation of growth in the quota asset price. Econometric issues related to time series problems are dealt with. The model allows calculation of policy risk, which shows an interesting pattern over this time period.
Analysis of the legal situation regarding euthanasia in Ecuador, Colombia, and Peru: Towards a Latin American model of medical assistance in dying?
Authors: Espericueta Luis 
Published: July 2024

AbstractColombia was one of the first countries to decriminalise euthanasia. However, what is known in the international academic literature about the country's regulations is scarce and outdated. Such lack of information on the situation in Latin America is even more evident in the case of Peru, where the Lima Superior Court of Justice set a precedent by allowing a person to have access to euthanasia in 2021. Ecuador, which has just decriminalised euthanasia for all its citizens in February 2024, risks being similarly absent from the international dialogue. This article summarises for the first time all the regulations in force regarding euthanasia in Latin America, through a study of primary sources in Spanish, and analyses some of the convergences between these three neighbouring countries.
Management of diabetes in people with advanced chronic kidney disease
Authors: Chowdhury Tahseen A. , Mukuba Dorcas , Casabar Mahalia , Byrne Conor , Yaqoob M. Magdi 
Published: July 2024

AbstractDiabetes is the commonest cause of end stage kidney disease globally, accounting for almost 40% of new cases requiring renal replacement therapy. Management of diabetes in people with advanced kidney disease on renal replacement therapy is challenging due to some unique aspects of assessment and treatment in this group of patients. Standard glycaemic assessment using glycated haemoglobin may not be valid in such patients due to altered red blood cell turnover or iron/erythropoietin deficiency, leading to changed red blood cell longevity. Therefore, use of continuous glucose monitoring may be beneficial to enable more focussed glycaemic assessment and improved adjustment of therapy. People with advanced kidney disease may be at higher risk of hypoglycaemia due to a number of physiological mechanisms, and in addition, therapeutic options are limited in such patients due to lack of experience or license. Insulin therapy is the basis of treatment of people with diabetes with advanced kidney disease due to many other drugs classes being contraindicated. Targets for glycaemic control should be adjusted according to co‐morbidity and frailty, and continuous glucose monitoring should be used in people on dialysis to ensure low risk of hypoglycaemia. Post‐transplant diabetes is common amongst people undergoing solid organ transplantation and confers a greater risk of mortality and morbidity in kidney transplant recipients. It should be actively screened for and managed in the post‐transplant setting.
Tail‐dependence of masting synchrony results in continent‐wide seed scarcity
Authors: Szymkowiak Jakub , Foest Jessie , Hacket‐Pain Andrew , Journé Valentin , Ascoli Davide , Bogdziewicz Michał 
Published: July 2024

AbstractSpatial synchrony may be tail‐dependent, meaning it is stronger for peaks rather than troughs, or vice versa. High interannual variation in seed production in perennial plants, called masting, can be synchronized at subcontinental scales, triggering extensive resource pulses or famines. We used data from 99 populations of European beech (Fagus sylvatica) to examine whether masting synchrony differs between mast peaks and years of seed scarcity. Our results revealed that seed scarcity occurs simultaneously across the majority of the species range, extending to populations separated by distances up to 1800 km. Mast peaks were spatially synchronized at distances up to 1000 km and synchrony was geographically concentrated in northeastern Europe. Extensive synchrony in the masting lower tail means that famines caused by beech seed scarcity are amplified by their extensive spatial synchrony, with diverse consequences for food web functioning and climate change biology.
Short selling bans and price responses in a multimarket setting
Authors: Hu Yu , Jain Pankaj K. , Mishra Suchismita , Reyes‐Peña Robinson 
Published: July 2024

AbstractWe evaluate the role of short sale bans in muting the price response to negative earnings surprises for stocks cross‐listed in foreign unbanned markets. We update the global timeline of short sale restrictions up to the COVID‐19 crisis. Given low dispersion of beliefs, we observe that the effects of a stock's home market bans extend to unbanned markets, as manifested in lagged price responses, reduced short interest, and failures to deliver. In contrast, large profit opportunities created by high dispersion of beliefs trigger cross‐border short selling (regulatory arbitrage) and a leading price response in foreign unbanned markets vis‐à‐vis the home market.
Impact of three decades of warming, increased nutrient availability, and increased cloudiness on the fluxes of greenhouse gases and biogenic volatile organic compounds in a subarctic tundra heath
Authors: Ndah Flobert A. , Michelsen Anders , Rinnan Riikka , Maljanen Marja , Mikkonen Santtu , Kivimäenpää Minna 
Published: July 2024

AbstractClimate change is exposing subarctic ecosystems to higher temperatures, increased nutrient availability, and increasing cloud cover. In this study, we assessed how these factors affect the fluxes of greenhouse gases (GHGs) (i.e., methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2)), and biogenic volatile organic compounds (BVOCs) in a subarctic mesic heath subjected to 34 years of climate change related manipulations of temperature, nutrient availability, and light. GHGs were sampled from static chambers and gases analyzed with gas chromatograph. BVOCs were measured using the push‐pull method and gases analyzed with chromatography–mass spectrometry. The soil temperature and moisture content in the warmed and shaded plots did not differ significantly from that in the controls during GHG and BVOC measurements. Also, the enclosure temperatures during BVOC measurements in the warmed and shaded plots did not differ significantly from temperatures in the controls. Hence, this allowed for assessment of long‐term effects of the climate treatment manipulations without interference of temperature and moisture differences at the time of measurements. Warming enhanced CH4 uptake and the emissions of CO2, N2O, and isoprene. Increased nutrient availability increased the emissions of CO2 and N2O but caused no significant changes in the fluxes of CH4 and BVOCs. Shading (simulating increased cloudiness) enhanced CH4 uptake but caused no significant changes in the fluxes of other gases compared to the controls. The results show that climate warming and increased cloudiness will enhance CH4 sink strength of subarctic mesic heath ecosystems, providing negative climate feedback, while climate warming and enhanced nutrient availability will provide positive climate feedback through increased emissions of CO2 and N2O. Climate warming will also indirectly, through vegetation changes, increase the amount of carbon lost as isoprene from subarctic ecosystems.