bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fold embedding and attention-based collaborative filtering with masking strategy for consumer products rating prediction
Authors: Liu Jiaqi , Jiang Jialong , Lin Mingwei , Chen Hong , Xu Zeshui 
Published: December 2024

PurposeWhen recommending products to consumers, it is important to be able to accurately predict how consumers will rate them. However, existing collaborative filtering models are difficult to achieve a balance between rating prediction accuracy and complexity. Therefore, the purpose of this paper is to propose an accurate and effective model to predict users’ ratings of products for the accurate recommendation of products to users.Design/methodology/approachFirst, we introduce an attention mechanism that dynamically assigns weights to user preferences, highlighting key interaction information and enhancing the model’s understanding of user behavior. Second, a fold embedding strategy is employed to segment user interaction data, increasing the information density of each subset while reducing the complexity of the attention mechanism. Finally, a masking strategy is integrated to mitigate overfitting by concealing portions of user-item interactions, thereby improving the model’s generalization ability.FindingsThe experimental results demonstrate that the proposed model significantly minimizes prediction error across five real-world datasets. On average, the evaluation metrics root mean square error (RMSE) and mean absolute error (MAE) are reduced by 9.11 and 13.3%, respectively. Additionally, the Friedman test results confirm that these improvements are statistically significant. Consequently, the proposed model more accurately captures the intrinsic correlation between users and products, leading to a substantial reduction in prediction error.Originality/valueWe propose a novel collaborative filtering model to learn the user-item interaction matrix effectively. Additionally, we introduce a fold embedding strategy to reduce the computational resource consumption of the attention mechanism. Finally, we implement a masking strategy to encourage the model to focus on key features and patterns, thereby mitigating overfitting.
Sustainable development education’s pathways and influencing factors for enhancing sustainability behaviors: a survey of Chinese university students
Authors: Zhong Fanglei , Ma Xiaochun , Jiang Xuyan , Mao Yijun , Lyu Xiaowei 
Published: December 2024

Purpose
This study aims to examine the effect of education for sustainable development (ESD) on students’ sustainability behaviors in Chinese higher education institutions (HEIs), aiming to identify the educational enhancement pathways and influencing factors based on students’ perspectives.

Design/methodology/approach
Data were collected from students in Chinese HEIs using an online survey. Structural equation modeling is used to analyze the data and verify the pathways for enhancing students’ sustainability behaviors through ESD in HEIs. The effects of students’ demographic characteristics, majors, and other factors are also examined.

Findings
ESD in Chinese HEIs promotes students’ sustainability cognition and behaviors. Students’ sustainability cognition plays a mediating role and has a positive effect on enhancing sustainability behaviors through education. In the influence pathway, the behavioral attitudes of students majoring in humanities and social sciences with high monthly expenditures are more significant for promoting sustainable social participation. Meanwhile, gender and educational level are not significant moderating factors.

Research limitations/implications
Factors such as cognition are subjective and difficult to measure. The sample’s representativeness warrants further consideration, and there is a lack of time-series change data. Nevertheless, this attempt to examine the mechanism of ESD from students’ perspectives can help assess ESD in HEIs more rationally and make the improvement paths more efficient.

Practical implications
This study offers evidence to support ESD-related decision-making in Chinese HEIs. It is suggested that HEIs continue to strengthen ESD, focusing on influencing behavior by enhancing students’ sustainability cognition. Pedagogical approaches should be adjusted based on students’ spending habits and majors to maximize educational outcomes and support China’s sustainability ambitions.

Originality/value
Based on the perspective of Chinese HEI students, this study makes observations about ESD in Chinese HEIs, focuses on the interaction between the sustainability cognition and behaviors of students, and expands the discussion of pathways for HEIs to promote students’ sustainability cognition and behaviors.
How do the barriers that prevent or hinder the applicability of artificial intelligence impact its use in an insurance company
Authors: Tavares Edval da Silva , Leardini Michel , Pessoa Marcelo Schneck de Paula 
Published: December 2024

Purpose The purpose of this paper is to report on how the barriers that prevent or hinder the applicability of artificial intelligence (AI) impact its use in an insurance company.Design/methodology/approach Through bibliographic research, this paper maps the literature to identify the barriers to the use of AI by companies. After this, a qualitative single-case study, with descriptive characteristics, is conducted in an insurance company to verify if it is ready to adopt AI. Secondary data based on surveys of information technology consultancies were also used to provide greater consistency to the research.Findings This analysis showed that investments in these kinds of projects encounter organizational, financial and social barriers, such as a culture not focused on innovation, a lack of strategic IT alignment, a lack of knowledge of the potential or even the ability to carry out an adequate feasibility analysis. Based on the barriers presented by the case and AI initiatives, the researched company is using AI for automation and execution rather than using its transformative potential to be an agent of change across the organization. Most of the barriers to the adoption of AI are organizational rather than technical.Research limitations/implications The limitation of this study is it presents a single-case study, but this involves local cultural problems because companies are not open to supplying internal information to external researchers.Originality/value The value of this article lies in examining a real case in Latin America, raising the barriers to the adoption of AI, which has a different environment from Europe and the USA, presenting a company that has the freedom to choose local or international technologies.
Predicting picking and workforce planning for internal shopfloor material logistics – a simulative, data-driven forecasting model
Authors: Eichenseer Patrick , Winkler Herwig 
Published: December 2024

Purpose
With increasing demands for competitiveness, demand fulfilment and cost efficiency, the need to optimise workforce planning in logistics has become crucial. This applies not only to external customer demands, but also to internal customers, i.e. production. For this reason, the purpose of this paper is to develop a simulative, data-driven model that predicts the internal shopfloor material logistics demands.

Design/methodology/approach
It is a hybrid approach that includes both deterministic and probabilistic components and is an alternative to advanced but data and knowledge-dependent machine learning algorithms. Inductive, self-developed procedures, heuristic calculation rules and consideration of real-world factors form the basis of the prediction of the number of picks. The number of picks predicted in the first step forms the basis for deriving the number of employees required in the second step, and thus the basis for optimised workforce planning. The developed approach was then validated in a case study in a real company.

Findings
The results show that the model significantly optimises not only the planning efficiency, but also the forecasting effectiveness through better decision making in demand prediction and workforce planning in internal shopfloor material logistics compared to the status quo on a weekly basis (95.5% accuracy in the case study). This improved decision making leads to increased efficiency throughout the intralogistics/production system.

Originality/value
A structured approach is described for systematically predicting the number of internal picks, which is highly relevant in practice and cannot be found in the existing literature (from the data model to the calculation rules, including statistical influencing factors, to the prediction). In terms of future research, the model has the potential to be used and validated in additional companies.
Green initiatives, sustainable luxury brand purchasing and brand experience in an emerging market: a moderated mediation analysis
Authors: Kokatnur Shilpa , Latan Hengky , Lavuri Rambabu , Chiappetta Jabbour Charbel Jose 
Published: December 2024

PurposeThis research investigates the effect of green initiatives on sustainable luxury brand purchasing intentions, employing sustainable involvement and attitude as mediators and brand experience as a moderator; the stimulus-organism-behavior-consequence model is utilized to understand this phenomenon comprehensively.Design/methodology/approachWe collected 503 survey responses from individuals who had bought sustainable luxury products via purposive sampling. Subsequently, we employed structural equation modeling and the PROCESS macro to analyze the data collected.FindingsThe results revealed that (1) green initiatives had a positive influence on sustainable involvement, attitude and sustainable purchasing intention; additionally, (2) sustainable involvement and attitude had a positive mediation relationship between the green initiatives and attitude, sustainable purchasing intention; likewise, attitude had a positive mediation relationship among them; (3) sustainable purchasing intention substantially affects customer word of mouth and satisfaction and (4) brand experience significantly moderates the association between sustainable purchasing intention, word-of-mouth and satisfaction.Originality/valueThe current study investigates consumer sustainable behavior, with the rising importance of sustainable luxury products and increasing consumer awareness of sustainability. Notably, this study introduces a fresh application of the stimulus-organism-behavior-consequences (SOBC) framework, marking a groundbreaking approach in sustainable luxury brand research.
Numerical assessment of thin layer coating of non-Newtonian fluid during blade coating process with MHD effects
Authors: Khaliq Sabeeh , Abbas Zaheer , Junjua Moin-ud-Din , Ram Rajesh , Shahzad Hasan , Rafiq Muhammad Yousuf 
Published: December 2024

PurposeThe coating process increases the durability, quality and effectiveness of the web, is used in manufacturing of wallpapers, adhesive tapes, wrapping, protection of fabrics and metals, X-ray and photographic films, beautification, books and magazines, film foils, magnetic records, coated paper, etc.Design/methodology/approachThis paper gives a detailed study of the Oldroyd-4 constant fluid rheology during blade coating technique to check the sensitivity of velocity slippage on blade surface and magnetohydrodynamics (MHD) on final coating thickness and other mechanical properties. Heat transfer effects are also considered with viscous dissipation. The governing expressions under Lubrication Approximation Theory (LAT) are shortened and non-dimensionalized. A numerical technique with root finding algorithm is employed to determine the velocity profile, pressure and pressure gradient, shear stress, coating thickness, blade load and temperature profile. Figures and tables are exploited to show and discuss the effects of Hartmann number, slip parameter, geometrical parameter and viscoelastic fluid parameters on the flow and mechanical quantities. Comparison is also presented with previous literature under specific conditions.FindingsFrom a technical vantage point, blade load and pressure are significant results of research as they lead to varying coating thickness, which gives an efficient coating process and extends substrate life. Shear stress is directly proportional to the magnetic parameter and inversely proportional to velocity slippage on blade surface. Temperature curve increases with increment in magnetic parameter and Brinkman number, while decrease in temperature is detected from slip parameter.Originality/valueIn literature, this investigation fills a gap in the numerical prediction of slip and MHD effects on the thin layer coating of rheological viscoelastic fluid during blade coating phenomena.
A springback minimization study using the experimental design methods for 15-5 PH stainless steel material in the hydroforming process
Authors: Çelik Yusuf , Ülke İbrahim , Yurdakul Mustafa , Ic Yusuf Tansel 
Published: December 2024

Purpose
This study aims to examine the springback behavior of 15-5 PH stainless steel, which is widely used in the aviation industry.

Design/methodology/approach
The shaping sheet metal with a diaphragm is a widely used shaping method in aviation. In this process, the sheet metal is attached to the mold, placed in the form machine and pressure is applied. The diaphragm, which swells under the influence of gas, transmits pressure to the sheet metal surface and allows the mold to take its shape. One of the behaviors that occurs in the part after processing is springback. The mold design is shaped according to this springing amount. Some prominent parameters in the amount of springback are bending radius, bending angle, material thickness and material type. Material thickness is taken as 0.813, 1.27, 1.6 and 2 mm for experimental studies. This study compares the general full factorial design with the 2k factorial design. Then, the authors get analysis of variance (ANOVA) tables for the experiments and finite element analysis results, respectively.

Findings
At the end of the study, a mathematical expression was obtained that gives the springback rate with an accuracy of over 90%, depending on the process parameters, in 15-5 PH material. In addition, the main effects of the working parameters on the springback behavior were revealed by ANOVA method.

Originality/value
To the best of the authors’ knowledge, this is a new application that provides robust results to the springback minimization for the sheet metal bending process.
A CoA‐Transferase and Acyl‐CoA Dehydrogenase Convert 2‐(Carboxymethyl)cyclohexane‐1‐Carboxyl‐CoA During Anaerobic Naphthalene Degradation
Authors: Kong Yachao , Riebe Jan , Feßner Malte , Schaller Torsten , Wölper Christoph , Stappert Florian , Meckelmann Sven W. , Krajnc Matthias , Weyrauch Philip , Schmitz Oliver J. , Merten Christian , Niemeyer Jochen , Hu Xiaoke , Meckenstock Rainer U. 
Published: December 2024

ABSTRACTThe CoA thioester of 2‐(carboxymethyl)cyclohexane‐1‐carboxylic acid has been identified as a metabolite in anaerobic naphthalene degradation by the sulfate‐reducing culture N47. This study identified and characterised two acyl‐CoA dehydrogenases (ThnO/ThnT) and an intramolecular CoA‐transferase (ThnP) encoded within the substrate‐induced thn operon, which contains genes for anaerobic degradation of naphthalene. ThnP is a CoA transferase belonging to the family I (Cat 1 subgroup) that catalyses the intramolecular CoA transfer from the carboxyl group of 2‐(carboxymethyl)cyclohexane‐1‐carboxyl‐CoA to its carboxymethyl moiety, forming 2‐carboxycyclohexylacetyl‐CoA. Neither acetyl‐CoA nor succinyl‐CoA functions as an exogenous CoA donor for this reaction. The flavin‐dependent homotetrameric dehydrogenase ThnO is specific for (1R,2R)‐2‐carboxycyclohexylacetyl‐CoA with an apparent Km value of 61.5 μM, whereas ThnT is a promiscuous enzyme catalysing the same reaction at lower rates. Identifying these three enzymes confirmed the involvement of the thn gene cluster in the anaerobic naphthalene degradation pathway. This study establishes a modified metabolic pathway for anaerobic naphthalene degradation upstream of 2‐(carboxymethyl)cyclohexane‐1‐carboxyl‐CoA and provides further insight into the subsequent second‐ring cleavage reaction.
Optimal Cell Length for Exploration and Exploitation in Chemotactic Planktonic Bacteria
Authors: Guadayol Òscar , Schuech Rudi , Humphries Stuart 
Published: December 2024

ABSTRACTElongated morphologies are prevalent among motile bacterioplankton in aquatic systems. This is often attributed to enhanced chemotactic ability, but how long is best? We hypothesized the existence of an optimal cell length for efficient chemotaxis resulting from shape‐imposed physical constraints acting on the trade‐off between rapid exploration versus efficient exploitation of nutrient sources. To test this hypothesis, we evaluated the chemotactic performance of elongated cephalexin‐treated Escherichia coli towards α‐methyl‐aspartate in a microfluidic device creating linear, stable and quiescent chemical gradients. Our experiments showed cells of intermediate length aggregating most tightly to the chemoattractant source. A sensitivity analysis of an Individual‐Based‐Model replicating these results showed that 1) cells of intermediate length are optimal at transient states, whereas at steady state longest cells are best, 2) poor chemotactic performance of very short cells is caused by directionality loss, and 3) long cells are penalized by brief, slow runs. Finally, we evaluated chemotactic performance of cells of different length with simulations of a phycosphere, and found that long cells swimming in a run‐and‐reverse pattern with extended runs and moderate speeds are most efficient in this microenvironment. Overall, our results suggest that the stability of the chemical landscape plays a role in cell‐size selection.
Can Australia be a Renewable Energy Superpower?
Authors: Burfurd Ingrid 
Published: December 2024

AbstractCurrent trade patterns reflect the low cost of transporting carbon‐intensive fossil fuels. But renewable energy is expensive to transport. In a world moving to net‐zero emissions, Australia can capitalise on its abundant renewable energy resource to process and export green minerals and fuels. With the right policy settings, Australia could not only meet its own international commitments to reach net‐zero carbon emissions by 2050, but it could make a significant contribution to the global reduction in emissions, and prosper in the process.
Mythogeographies of anthropological knowledge: writing over the lines and footsteps of history in Southwest China
Authors: Karlach Jan 
Published: December 2024

In this article, I delve into the field diary of Ma Changshou – a major Chinese ethnohistorian and social anthropologist active between the 1930s and 1960s – to show how his journeys through Liangshan, a mountainous land in Southwest China inhabited by the Nuosu‐Yi, led to a new kind of anthropological knowledge. Ma worked under the theoretical, methodological, and ideological assumptions of his era, where he strove to assemble his findings on Nuosu‐Yi kinship relations and textual sources into a linear historical narrative, even though the Liangshan of his day was not fully controlled by a centralized state bureaucracy. Retracing Ma's journey in mythogeographical fashion, I propose that the travel‐fieldwork trajectories of China's Republican‐era social scientists and their interpretation of data obtained from native chieftains, bimo ritualists, and other members of prominent Nuosu‐Yi clans have shaped today's knowledge of Nuosu‐Yi history, society, and culture. Notably, Ma's mythogeography fleshed out two different essentialized but intertwined ways of seeing the past: that of state‐bureaucratic societies and that of genealogy‐based societies like the Nuosu‐Yi. Mythogeographies like this can give rise to more than new ways of performing genealogies; they can throw light on the anthropo‐history of China and the world at large.
Daily or near‐daily cannabis and alcohol use by adults in the United States: A comparison across age groups
Authors: Patrick Megan E. 
Published: December 2024

AbstractBackground and aimsPatterns of daily or near‐daily (DND) use of alcohol and cannabis among adults in the United States have been changing. The current study measured how these shifts have occurred across developmental periods of adulthood.Design, Setting, and ParticipantsU.S. national data from the Monitoring the Future Panel Study include responses from approximately 20 000 adults aged 19 to 65 in 2023. In total, annual data from 1988 to 2023 include 389 649 responses.MeasurementsSelf‐report measures of use of cannabis and alcohol DND (i.e., 20 + occasions in the last 30 days) were available for the full age ranges of 19–30 years from 1988 to 2023, of 35–50 years from 2008 to 2023, and of 55–65 years in 2023.FindingsAs of 2023, DND cannabis use was nearly three times as prevalent (10.4%) as DND alcohol use (3.6%) among young adults ages 19 to 30. Early midlife adults have had a convergence but not yet a crossover; there were similar prevalence levels of DND use of cannabis (7.5%) and alcohol (7.8%) among those ages 35 to 50 in 2023. Among late midlife adults ages 55 to 65, DND alcohol use remained more than twice as prevalent (11.4%) as DND cannabis use (5.2%) in 2023.ConclusionsIn the United States, daily or near‐daily (DND) alcohol use remains more prevalent than DND cannabis use among late midlife adults, but the opposite is true for young adults.
Impact of Tobacco, Marijuana, and Alcohol Use on Overall Survival in Recurrent Metastatic Head and Neck Cancer Patients Treated With Immune Checkpoint Inhibitors
Authors: Alsavaf Mohammad Bilal , Issa Majd , Klamer Brett G. , Husain Marium , Dibs Khaled , Pan Xueliang , Grecula John C. , Old Matthew O. , Konieczkowski David , Mitchell Darrion L. , Baliga Sujith , Carrau Ricardo L. , Rocco James W. , Bonomi Marcelo , Blakaj Dukagjin M. , Bhateja Priyanka 
Published: December 2024

ABSTRACTAimThe response rates to immune checkpoint inhibitors (ICI) remain low (13%–20%) in metastatic head and neck cancer patients, indicating an urgent need to better understand factors predictive of response to these agents. This study explored the impact of smoking status, marijuana use, and alcohol consumption on treatment outcomes in recurrent‐metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) patients treated with ICI.MethodsA retrospective analysis was performed on 201 R/M HNSCC patients treated with ICI between January 15th 2016 and April 9th 2020 at a single institution.ResultsGender: 154 male (77%), 47 female (23%). Median age 61 (IQR: 55–68). ICI drug: pembrolizumab 100 (50%), nivolumab 91 (45%), nivolumab + ipilimumab 10 (5%). Line of therapy: first: 98 (49%), second and beyond: 103 (51%). Tumor site: oropharynx 84 (42%), oral cavity 45 (22%), larynx 26 (13%), other sites 46 (23%). p16 tumor status: negative 132 (66%), positive 69 (34%). Smoking status: former 111 (55%), never 54 (27%), current 36 (18%), median pack‐year 18 (IQR: 0–37). Alcohol use: yes 110 (55%), no 91 (54%). Marijuana use: yes 47 (23%), no 154 (77%). Overall response rate: 36 (18%). Median OS: 12 months (95% CI: 9.4–14.8). Tobacco: former (HR: 0.75, 95% CI: 0.50, 1.11), current (HR: 0.58, 95% CI: 0.33, 1.02). Marijuana: yes (HR: 0.93, 95% CI: 0.58, 1.49). Alcohol: yes (HR: 1.04, 95% CI: 0.72, 1.49).ConclusionIn our cohort, smoking status, marijuana use, and alcohol consumption did not have a statistically significant impact on OS in patients with R/M HNSCC treated with ICI.