bluuebunny/crossref_metadata_2025_split huggingface dataset:
UNISON framework with fuzzy decision tree for water conservation in the dynamic scheduling of the textile dyeing process
Authors: Ku Chien-Chun , Ma Kang-Ting , Le Thi Nhu Quyen , Chien Chen-Fu 
Published: November 2024

PurposeThis study aimed to optimize the dyeing scheduling process with uncertain job completion time to reduce resource consumption and wastewater generation, and while reconciling the conflicting objectives of minimizing the makespan and the need to limit the production on specific machines to minimize rework.Design/methodology/approachWe employed a UNISON framework that integrates fuzzy decision tree (FDT) to optimize dyeing machine scheduling by minimizing the makespan and water consumption, in which the critical attributes such as machine capacity and processing time can be incorporated into the scheduling model for smart production.FindingsAn empirical study of a high-tech textile company has shown the validity and effectiveness of the proposed approach in reducing the makespan and water consumption by over 8% while high product quality and efficiency being maintained.Originality/valueHigh-tech textile industry is facing the challenges in reducing the environmental impact of the dyeing process while maintaining product quality and efficiency for smart production. Conventional scheduling approaches have not addressed the relationship between machine groups and reworking, resulting in difficulty in controlling the makespan and water consumption and increasing costs and environmental issues. The proposed approach has addressed uncertain job completion via integrating FDT into the scheduling process to effectively reduce makespan and wastewater. The results have shown practical viability of the developed solution in real settings.
Corporate sustainability and value
Authors: Ahmad Hafiz Imtiaz , Aljifri Khaled 
Published: November 2024

Purpose
This study aims to explore the influence of corporate sustainability on organizational value, specifically focusing on companies ranked in the Just Capital Market ranking. The aim is to establish whether higher sustainability rankings are associated with increased firm value and to investigate how corporate social responsibility (CSR) activities affect both financial and non-financial outcomes.

Design/methodology/approach
This study uses the Ohlson model to assess the value-generation potential of the top and bottom ten companies in the Just Capital Market ranking from 2013 to 2018. The analysis involves evaluating stock prices and other financial metrics and incorporating non-financial indicators related to CSR activities to gain a comprehensive understanding of their impact on firm valuation.

Findings
The results indicate a strong connection between high sustainability rankings and increased market value. Companies such as Microsoft, Intel and Alphabet, which have robust CSR initiatives, have shown significant improvements in market performance due to greater stakeholder engagement and detailed non-financial disclosures. On the other hand, companies with low sustainability ratings have demonstrated weaker market performance, which indicates the financial risks associated with neglecting CSR activities. This study underscores the critical importance of integrating CSR into fundamental business strategies to create sustainable value.

Originality/value
This study addresses the limitations of traditional financial indicators by incorporating non-financial factors into the valuation process. The study offers a more comprehensive assessment of firm value, reflecting modern business practices and the evolving global economy landscape. Integrating nonfinancial indicators enhances valuation accuracy and provides a holistic view of company performance, enabling stakeholders to make informed decisions based on a broader range of factors. This innovative method may reshape firm valuations, leading to more accurate and reliable assessments in contemporary business contexts.
Exploring adult safeguarding data in England: mapping vulnerability and understanding trends
Authors: Vaughan Sarah , Miles Andrew , Hochard Kevin Dionisio , Oakley Lisa , Lafferty Moira , Hales George , Kingston Paul 
Published: November 2024

Purpose
The purpose of this study is to explore and map Safeguarding Adults England data for 2022–2023 by local authority to enable identification and exploration of any differences between local authorities.

Design/methodology/approach
Colour symbology maps were produced to enable visual analysis of safeguarding concerns and Section 42 enquiries per 100,000 of the population, as well as the conversion of safeguarding concerns to Section 42 enquiries. Statistical hotspots were calculated using the Getis-Ord Gi* for Section 42 enquiries per 100,000 of the population across age classes.

Findings
Findings show regional differences across England in terms of the number of documented concerns, Section 42’s and conversion rates. Some regions had statistically higher or lower Section 42 enquiries per 100,000 of population across age classes compared to their bordering geographical neighbours. Reflections on these findings lead to a series of recommendations.

Originality/value
This paper addresses a need to explore further and analyse adult safeguarding data to inform practice, through choropleth mapping.
Psychological reactance in assertive green advertising: addressing the role of individual values
Authors: Freudenreich Thomas , Penz Elfriede 
Published: November 2024

Purpose
Grounded in the psychological reactance theory, this study aims to explore more effective strategies to promote environmentally friendly mobility preferences by examining the interplay between individual value orientations, perceived freedom threats, reactance and assertive language in advertisements promoting sustainable mobility on consumers’ attitude toward such ads.

Design/methodology/approach
An online questionnaire was distributed to 400 participants. Covariance-based structural equation modeling was used to test the hypothesized model.

Findings
The study demonstrates that when seeing assertive ads that promote environmentally friendly mobility options, a prevalent biospheric (hedonic) value orientation leads to a significantly lower (higher) perceived threat toward the ad. This was not the case when seeing the non-assertive ad. While assertiveness in ads has a greater positive influence on the relationship between perceived freedom threat and reactance, non-assertiveness has a greater negative effect on the relationship between perceived reactance and attitude toward green ads.

Practical implications
Organizations promoting sustainable mobility should tailor advertisements to audience values. For groups with shared values, direct and assertive messages work. For broader audiences, emphasize message attractiveness over assertiveness.

Originality/value
The study investigates the influence of assertive message framing and individual value orientations on the reactance process in the context of environmentally friendly mobility. It finds individual value orientations to be a significant factor in the reactance process, further extending the psychological reactance theory. Moreover, it revalidates reactance as a construct consisting of anger and negative cognition.
A genetic algorithm-based solution for multi-type maximal covering location problem (MMCLP): application to defense and deterrence
Authors: Lessan J.D. , Pond Geoff 
Published: November 2024

PurposeWe study the problem of finding optimal locations for a suite of defense assets in order to protect high-value tactical and strategic infrastructure across a vast geographical area. To this end, we present a multi-type with non-overlapping coverage requirement as an extension to the classical formulation for the maximal covering location problem (MCLP).Design/methodology/approachIn our case study, we use open source geographic and demographic data from Canadian sources as inputs to our optimization problem. Due to the complexity of the MIP formulation, we propose a hybrid metaheuristic solution approach, for which a genetic algorithm (GA) is proposed and integrated with local and large neighborhood search operators.FindingsExtensive numerical experiments over different instances of the proposed problem indicate the effectiveness of the GA-based solution in reducing the solution time by a factor of ten compared to the CPLEX commercial solver while both approaches obtain solutions of similar quality.Research limitations/implicationsThis research is limited to location planning of defense assets leveraging geospatial data of Canada. However, the diverse Canadian geography is among the most challenging given broad variability in population density and the vast size of the country leading to a large search space having substantial variability in fitness performance.Practical implicationsOur findings demonstrate that for large-scale location searches, the GA with a local neighborhood search performs very well in comparison to CPLEX but at a fraction of the execution time.Originality/valueOur findings provide insight into how to make improved decisions for the placement of deterrence and defense systems and the effectiveness of a hybrid metaheuristic in addressing associated computational challenges.
Strategies to alleviate flickering: Bayesian and smoothing methods for deep learning classification in video
Authors: Miller Noah , Drumm Glen Ryan , Champagne Lance , Cox Bruce , Bihl Trevor 
Published: November 2024

PurposeIncreasing reliance on autonomous systems requires confidence in the accuracies produced from computer vision classification algorithms. Computer vision (CV) for video classification provides phenomenal abilities, but it often suffers from “flickering” of results. Flickering occurs when the CV algorithm switches between declared classes over successive frames. Such behavior causes a loss of trust and confidence in their operations.Design/methodology/approachThis “flickering” behavior often results from CV algorithms treating successive observations as independent, which ignores the dependence inherent in most videos. Bayesian neural networks are a potential remedy to this issue using Bayesian priors. This research compares a traditional video classification neural network to its Bayesian equivalent based on performance and capabilities. Additionally, this work introduces the concept of smoothing to reduce the opportunities for “flickering.”FindingsThe augmentation of Bayesian layers to CNNs matched with an exponentially decaying weighted average for classifications demonstrates promising benefits in reducing flickering. In the best case the proposed Bayesian CNN model reduces flickering by 67% while maintaining both overall accuracy and class level accuracy.Research limitations/implicationsThe training of the Bayesian CNN is more computationally demanding and the requirement to classify frames multiple times reduces resulting framerate. However, for some high surety mission applications this is a tradeoff the decision analyst may be willing to make.Originality/valueOur research expands on previous efforts by first using a variable number of frames to produce the moving average as well as by using an exponentially decaying moving average in conjunction with Bayesian augmentation.
AI learning intention, learning engagement and behavioral outcomes: an empirical study
Authors: Bhatt Parag , Muduli Ashutosh 
Published: November 2024

PurposeResearch on training and/or L&D effectiveness is predominantly conducted in a traditional L&D context. Little research is conducted on training and/or L&D in the context of artificial intelligence (AI)-based learning. The present study aims to investigate the relationship between the adoption of AI-based learning systems and learners’ behavior. Drawing from the theory of planned behavior, the research examines the impact of attitude (ATT), subjective norm (SN) and perceived behavioral control (PBC) as AI-based learning intention (ALI) factors relate to changes in learners' behavior. Additionally, inspired by the self-determination theory by Deci and Ryan, the study further examines the mediating role of learner engagement between ALI and behavioral change.Design/methodology/approachFollowing a theoretical framework and using a systematic literature review method, the survey research has been planned by considering a sample from Indian industries. The collected data have been analyzed using SPSS-AMOS 27. While path analysis has been conducted to analyze the direct impact of ALI on learners' behavior, Hay’s PROCESS macro has been used to check the mediating impact of learner engagement between ALI and learners' behavior.FindingsThe results proved a significant and positive impact of all ALI factors such as ATT, SN and PBC on learners’ behavioral change. Further, the research found that learning engagement (LE) successfully mediates between AI learning intention and behavioral change.Originality/valueIn the absence of any empirical study in identifying the relationship among learning intention, LE and behavioral outcome, the result of this study may provide useful insights to researchers and practitioners.
Study of nanofiltration membrane process by Langevin dynamic model
Authors: Chahbi Achraf , Korchi Meriem , Ezaier Yassine , Moultif Rachida , Hader Ahmed , Tarras Ilias , Et-Touizi Rachid , Krimech Fatima Zahra , Tanasehte Mohammed 
Published: November 2024

PurposeThe model incorporates key factors of membrane such as permeability and resistance, feed concentration, fluid viscosity and pressure differentials. Special emphasis is placed on the fouling mechanisms, including pore blockage and cake layer formation, which significantly impact the efficiency of the filtration process.Design/methodology/approachIn this study, we present a numerical analysis of permeate flux through a membrane, focusing on the intricate dynamics of fouling phenomena. Utilizing the Langevin model, we simulate the permeation process to understand how various operational parameters affect the flux rates.FindingsOur results demonstrate that fouling not only reduces the permeate flux but also alters the membrane’s hydraulic resistance over time. The results show that the increasing of the diffusion process on membrane reduces the clogging phenomenon. Hence, the increases of the transmembrane pressure reduce exponentially blocking pore process.Originality/valueBy analyzing these changes, we provide insights into optimizing membrane performance and developing strategies to mitigate clogging membrane. This research contributes to the field of membrane technology by enhancing our understanding of permeate flux behavior under fouling conditions and offering potential pathways for improving long-term operational sustainability.
The impact of logo change on brand loyalty with the mediating role of brand attitude
Authors: Maree Ahmed Moustafa , Halim Yasser Tawfik , Hamdy Hosny Ibrahim 
Published: November 2024

PurposeThis research examines the impact of logo changes within rebranding strategies, with a focus on the recent logo transformation of Burger King. Redesigns of logos often reflect shifts in brand strategies and consumer preferences. This study aims to evaluate the effects of logo changes on brand loyalty with the mediating role of brand attitude.Design/methodology/approachThis study investigates the influence of Burger King’s logo change on consumer behavior, specifically regarding brand loyalty. The research involves an analysis of the appropriateness and familiarity of the old and new Burger King logos, based on data collected from 468 Egyptian consumers. Statistical analysis is conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the impact of logo changes on consumer loyalty.FindingsThe findings indicate that a change in logo can positively affect brand loyalty, particularly when the new logo is perceived as both appropriate and familiar to consumers. Additionally, the study highlights the mediating role of brand attitude, suggesting that favorable brand perceptions enhance the relationship between logo changes and consumer loyalty.Practical implicationsThe practical implications of this study highlight key strategies for brand managers involved in rebranding efforts and the associated risks of such processes. Ensuring logo appropriateness and maintaining elements of familiarity are crucial to fostering consumer acceptance and loyalty.Originality/valueThis study highlights the important role of logo change “logo appropriateness and familiarity,” offering a new perspective on how aligning logos with brand identity and retaining familiar elements can enhance consumer acceptance and loyalty with the presence of brand attitude as a mediator in this relationship.
Variable gauge length: Processing theory and applications to distributed acoustic sensing
Authors: Cuny Theo , Bettinelli Pierre , Le Calvez Joël 
Published: November 2024

AbstractMost distributed acoustic sensing systems will only process acoustic data with a fixed gauge length for the entire well depth. However, it has been shown that the gauge length is a critical parameter to improve the signal‐to‐noise ratio when used as a function of certain geophysical parameters, such as the apparent velocity. It can also be responsible for significant distortions if tuned incorrectly. In this paper, we first aim to reintroduce the concept of gauge length and derive a robust method to optimize its value based on the geophysical parameters whilst ensuring no distortion to the original signal. We then present a novel method of processing the distributed acoustic sensing data using the concept of a variable gauge length. We finish by showing applications of these techniques on synthetic vertical seismic profiling data and some of the results obtained on actual field datasets.
Indirect effects of warming via phenology on reproductive success of alpine plants
Authors: Zhang Tianwu , Chen Yaya , Yang Xiangrong , Zhang Hui , Guo Zengpeng , Hu Guorui , Bai Haonan , Sun Yinguang , Huang Li , Ma Miaojun 
Published: November 2024

Abstract

Climate warming has induced pronounced shifts in the phenology of alpine plants worldwide, yet the impact of these changes on plant reproduction remains unclear, although phenology plays a vital role in reproduction.

Based on a 7‐year field warming and altered precipitation experiment initiated in 2017, we measured three reproductive phenological events and seven reproductive traits of six dominant species, belonging to two flowering functional groups, to assess the effects of climate change on reproductive phenology and the reproductive consequence of changing the phenology in an alpine meadow on the eastern Tibetan Plateau from 2021 to 2023.

Warming significantly advanced the start of flowering in early‐spring flowering (ESF) and mid‐summer flowering (MSF) plants, while the fruiting period of ESF plants remained stable. Furthermore, warming led to a decrease in the number of seeds and productivity of alpine plants, while seed size remained stable. Phenological changes regulate the reproductive success of alpine plants. Specifically, the start of flowering for ESF plants and the start of fruiting for MSF plants regulated the number of seeds and productivity of the two flowering functional groups, respectively. The increase in phenological niche overlap and intensification of interspecific competition, caused by different phenological responses of the flowering functional groups to warming, also are key factors contributing to the decline in seed production of alpine plants.

Synthesis. These results demonstrate that the reproductive success of alpine plants would be decreased by earlier reproduction under climate warming, and alpine plants tend to maintain stable seed size in response to climate change. Our study emphasizes the important regulatory and indicative role of reproductive phenology in the sexual reproduction of alpine plants under future climate change.
The development of two fast genotyping assays for the differentiation of hemp from marijuana
Authors: Cheng Ya‐Chih , Houston Rachel 
Published: November 2024

AbstractThe legalization of hemp cultivation in the United States has raised the need for reliable methods to distinguish between legal hemp and illegal marijuana. Genetic analysis has emerged as a powerful tool, surpassing traditional chemical methods in specific aspects, such as analyzing trace amounts, aged samples, and different parts of the sample. Genetic differences in cannabinoid synthase genes offer promise for precise crop type determination, particularly focusing on genes like tetrahydrocannabinolic acid synthase (THCAS), cannabidiolic acid synthase (CBDAS), and cannabichromenic acid synthase (CBCAS). However, previous research faced several challenges in developing discriminatory genetic markers, including limited sample sizes, high similarity between the synthase genes, and the presence of pseudo synthase genes. A comprehensive study using Next‐Generation Sequencing (NGS) introduced a differentiation flowchart based on THCAS, CBDAS, and THCAS pseudogenes. To bridge the gap between NGS and the practical requirements of crime laboratories, two rapid genotyping assays were developed: a CE‐based SNaPshot™ assay and a TaqMan™ real‐time PCR assay. While the SNaPshot™ assay effectively differentiated various hemp and marijuana types, differentiation was limited with marijuana samples containing THC% close to the 0.3% legal threshold (0.3%–1%). The TaqMan™ qPCR SNP genotyping assay provided quicker results, making it an efficient choice for crime laboratories. However, this method had the same limitations as the SNaPshot™ assay with addtional challenges in differentiating edible hemp seed samples, and it did not provide additional CBD information. The study also highlighted the influence of two variants of one THCAS pseudogene on chemotype determination, emphasizing the necessity for precise genetic analysis for accurate categorization of cannabis varieties.
Relevant propositions for Y chromosome interpretation
Authors: Bright Jo‐Anne , Andersen Mikkel Meyer , Taylor Duncan , Kelly Hannah , Kruijver Maarten , Buckleton John 
Published: November 2024

AbstractThe Y chromosomal haplotype is expected to be identical (or close to, depending on the mutation rate) among a male and many of his paternal relatives. This means that often the same evidential value for the DNA evidence is obtained, whether the true donor or one of his close paternal relatives is compared to a crime sample. Commentators (see for example the UK Forensic Science Regulator or Amorim) have suggested to change the proposition pair to compare the probability of the evidence if the Person of Interest (POI) or one of his close paternal relatives left the DNA to the probability of the evidence if an unrelated male from the population left the DNA. We argue that this is problematic because there is no clear definition of close paternal relatives and truly unrelated males do not exist. Instead, we take a starting point in the traditional proposition pair “The source of the male DNA is the POI” versus “The source of the male DNA is not the POI” and make the latter one operational by suggesting that it is formulated as “The source of the male DNA is a random man from the population”. The issue of matching males in the POI's lineage is then addressed either in a comment in the statement or directly through a probability model.