bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parallelization of adaptive Bayesian cubature using multimodal optimization algorithms
Authors: Hong Fangqi , Wei Pengfei , Beer Michael 
Published: April 2024

PurposeBayesian cubature (BC) has emerged to be one of most competitive approach for estimating the multi-dimensional integral especially when the integrand is expensive to evaluate, and alternative acquisition functions, such as the Posterior Variance Contribution (PVC) function, have been developed for adaptive experiment design of the integration points. However, those sequential design strategies also prevent BC from being implemented in a parallel scheme. Therefore, this paper aims at developing a parallelized adaptive BC method to further improve the computational efficiency.Design/methodology/approachBy theoretically examining the multimodal behavior of the PVC function, it is concluded that the multiple local maxima all have important contribution to the integration accuracy as can be selected as design points, providing a practical way for parallelization of the adaptive BC. Inspired by the above finding, four multimodal optimization algorithms, including one newly developed in this work, are then introduced for finding multiple local maxima of the PVC function in one run, and further for parallel implementation of the adaptive BC.FindingsThe superiority of the parallel schemes and the performance of the four multimodal optimization algorithms are then demonstrated and compared with the k-means clustering method by using two numerical benchmarks and two engineering examples.Originality/valueMultimodal behavior of acquisition function for BC is comprehensively investigated. All the local maxima of the acquisition function contribute to adaptive BC accuracy. Parallelization of adaptive BC is realized with four multimodal optimization methods.
Revealing consumer review attitude through online review and website cues
Authors: Natarajan Manoraj , Periaiya Sridevi 
Published: April 2024

Purpose
Consumer-perceived review attitude determines consumer overall information adoption and is a core part of consumer’s online-shopping. This study aims to focus on factors that could influence consumer review attitude and can be used by marketers to shape individual information perception.

Design/methodology/approach
The study used the questionnaire method to collect data from online shoppers and the modelling of structural equations as an empirical approach to analyse the data.

Findings
The findings demonstrate that both systematic and heuristic cues impact the reviewer’s credibility and perceived website attitude differently, which, in turn, influence review attitude. Review characteristics, such as factuality, consistency and relevancy, have a positive relationship with reviewer credibility, while only review consistency and relevancy appears to have a relationship with review attitude. Website characteristics such as reputation, familiarity and social interactivity positively influence the website attitude, which positively influences review attitude. Apart from this, review skepticism has a significant negative relationship with review attitude.

Practical implications
This study could help to foster a positive attitude towards online reviews. Digital marketers need to motivate trusted reviewers to post consistent, fact-based reviews. Further improving the overall website reputation and interactivity could bring a positive attitude towards the reviews. Also, digital marketers must filter and avoid contradictory reviews or reviews that have a bipolar message and reviews expressing numerous emotions to enhance review relevance and consistency.

Originality/value
The current study addresses the need to understand the formation of consumer review attitude through both review and website characteristics using heuristic – systematic model. The paper captures the complex process undergone by the consumer to decipher review attitude and thereby extend the understanding of consumer information processing.
Construction and implementation of cross-border e-commerce supply chain system under the background of green and low-carbon
Authors: He Yi , Wang Zhanyu , Liu Sha , Du Xinle 
Published: April 2024

PurposeAs China’s e-commerce and cross-border e-commerce rapidly develop, the cross-border e-commerce supply chain exhibits characteristics of globalized development scale, collaborative multiparty participation, streamlined management processes, digitalized production and trade and flexible strategic choices. It tends toward data-driven intelligence, interoperable information collaboration, personalized order responses, sustainable supply chain management and secure blockchain technology. These characteristics and trends provide critical references for businesses, governments and investors.Design/methodology/approachIn response to issues such as inconsistent legal regulations, imbalanced logistics and transportation, imperfect payment settlements and opaque supply chains.FindingsIt is recommended to take measures to strengthen cooperation and communication, optimize logistics, reduce customs clearance difficulties, reinforce safeguard measures and promote sustainable development, collectively fostering the healthy growth of cross-border e-commerce.Originality/valueWith the rapid development of cross-border e-commerce, green and low-carbon initiatives have become a significant trend in this sector. The cross-border e-commerce supply chain refers to the mechanism that reduces environmental impacts and enhances resource efficiency from manufacturers to consumers. It primarily involves manufacturers, e-commerce platforms, logistics companies and payment and settlement processes. The cross-border e-commerce supply chain is gradually becoming a highlight in China’s foreign trade, supporting the concept of “buying globally and selling globally” and connecting the “world’s factory” with the “world’s market.”
Configurational pathways to innovation capability enhancement in high-tech enterprises: a perspective from technological innovation network
Authors: Liu Tingting , Li Yehui , Li Xing , Wu Lanfen 
Published: April 2024

PurposeHigh-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.Design/methodology/approachThis paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.FindingsThe findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.Originality/valueThis study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.
Predictors of adoption of blockchain technology by academic libraries in Nigeria
Authors: Akintunde Mutairu Oyewale , Amuda Halimah Odunayo 
Published: April 2024

PurposeThis study aimed to predict and understand the academic libraries' probability of successful adoption of blockchain within the lens of integrated technology acceptance model (TAM) and technology organization and environment theory (TOE) framework.Design/methodology/approachA mixed approach was employed to gather data from librarians (292) and system analysts (46) totaling 338 respondents. The total enumeration sampling technique was considered. Qualitative data were analyzed thematically, while quantitative data were analyzed using structural equation model (SEM).FindingsPerceived usefulness and policy are the important factors that influence academic libraries' blockchain adoption intentions. Unlimited access to both print and electronic resources, security of users' information and easy collaboration between users and library staff were found to be the benefits of blockchain application to academic libraries' operations. Major challenges to the adoption of blockchain in academic libraries include the cost of infrastructure related to blockchain applications, privacy issues and a lack of understanding of blockchain technology among librarians.Research limitations/implicationsFuture studies would need to include more relevant items to the observed variables of the independent variables that were found insignificant in this study.Practical implicationsThe findings of this study will create a roadmap for government and polytechnic management on the factors that could strengthen the adoption of blockchain in the libraries.Social implicationsThe outcome of this study came at a crucial moment when the majority of academic libraries in developing nations like Nigeria were skeptical about the deployment of blockchain technology in their libraries.Originality/valueThe study identified new factors that influence blockchain adoption intention.
Circular supply chain management in post-pandemic context. A qualitative study to explore how knowledge, environmental initiatives and economic viability affect sustainability
Authors: Kaur Mandeep , Palazzo Maria , Foroudi Pantea 
Published: April 2024

Purpose
Circular supply chain management (CSCM) is considered a promising solution to attain sustainability in the current industrial system. Despite the exigency of this approach, its application in the food industry is a challenge because of the nature of the industry and CSCM being a novel approach. The purpose of this study is to develop an industry-based systematic analysis of CSCM by examining the challenges for its application, exploring the effects of recognised challenges on various food supply chain (FSC) stages and investigating the business processes as drivers.

Design/methodology/approach
Stakeholder theory guided the need to consider stakeholders’ views in this research and key stakeholders directly from the food circular supply chain were identified and interviewed (n = 36) following qualitative methods.

Findings
Overall, the study reveals that knowledge, perception towards environmental initiatives and economic viability are the major barriers to circular supply chain transition in the UK FSC.

Originality/value
This research provides a holistic perspective analysing the loopholes in different stages of the supply chain and investigating the way a particular circular supply chain stage is affected by recognised challenges through stakeholder theory, which will be a contribution to designing management-level strategies. Reconceptualising this practice would be beneficial in bringing three-tier (economic, environmental and social) benefits and will be supportive to engage stakeholders in the sustainability agenda.
SCOBY: an alternate solution to develop cheap and nutritious food by food layered manufacturing (FLM)
Authors: Soni Rahul , Sharma Madhvi , K. Ponappa , Tandon Puneet 
Published: April 2024

Purpose
In pursuit of affordable and nutrient-rich food alternatives, the symbiotic culture of bacteria and yeast (SCOBY) emerged as a selected food ink for 3D printing. The purpose of this paper is to harness SCOBY’s potential to create cost-effective and nourishing food options using the innovative technique of 3D printing.

Design/methodology/approach
This work presents a comparative analysis of the printability of SCOBY with blends of wheat flour, with a focus on the optimization of process variables such as printing composition, nozzle height, nozzle diameter, printing speed, extrusion motor speed and extrusion rate. Extensive research was carried out to explore the diverse physical, mechanical and rheological properties of food ink.

Findings
Among the ratios tested, SCOBY, with SCOBY:wheat flour ratio at 1:0.33 exhibited the highest precision and layer definition when 3D printed at 50 and 60 mm/s printing speeds, 180 rpm motor speed and 0.8 mm nozzle with a 0.005 cm3/s extrusion rate, with minimum alteration in colour.

Originality/value
Food layered manufacturing (FLM) is a novel concept that uses a specialized printer to fabricate edible objects by layering edible materials, such as chocolate, confectionaries and pureed fruits and vegetables. FLM is a disruptive technology that enables the creation of personalized and texture-tailored foods, incorporating desired nutritional values and food quality, using a variety of ingredients and additions. This research highlights the potential of SCOBY as a viable material for 3D food printing applications.
Tourism e-commerce marketing following live-streaming: consumer behavior and verification psychology
Authors: Wang Yuchen , Guo Rui 
Published: April 2024

Purpose
Based on social cognitive theory, this study aims to explore the psychological mechanism behind consumer verification behavior following tourism e-commerce live-streaming.

Design/methodology/approach
Based on grounded theory, data were collected through 20 semi-structured in-depth interviews and analyzed.

Findings
This study identified that companies commonly use reminder messages and secondary promotions to facilitate the verification of tourism live-streaming products. Throughout this process, consumers undergo various psychologies related to verification. Specifically, they experience four positive verification psychologies: fear of missing out, anticipated emotions, status self-esteem and promotional perception. They also encounter two negative verification psychologies: psychological reactance and invasiveness. In addition, environmental factors such as the type of tourism live-streaming products and tourism destinations, along with individual trait factors like cognitive miserliness, tourism experience, autonomy, regulatory mode and impulsiveness, play significant roles in shaping verification behavior. These factors collectively influence the formation of verification behavior.

Originality/value
This study can provide recommendations for tourism companies to conduct marketing events following live-streaming. It is one of the earlier comprehensive studies discussing how to promote verification behavior following tourism e-commerce live-streaming. It helps to understand the psychological mechanism underlying the formation of verification behavior.
Social origins and educational attainment: The unique contributions of parental education, class, and financial resources over time
Authors: Strømme Thea Bertnes , Wiborg Øyvind Nicolay 
Published: April 2024

AbstractThis study examines the unique contributions of parental wealth, class background, education, and income to different measures of educational attainment. We build on recent sibling correlation approaches to estimate, using Norwegian register data, the gross and net contribution of each social origin dimension across almost 3 decades of birth cohorts. Our findings suggest that parental education is crucial for all measures of children's educational outcomes in all models. In the descriptive analyses, we find that while broad education measures remain stable or decrease over time, attaining higher tertiary education and elite degrees is more stable or increasingly dependent on family background, especially parental financial resources. While gross sibling correlation models show somewhat decreasing trends in the contribution of education in all measures of educational outcomes, net models show that the unique contributions of financial resources have increased over time. Our results lend some support to the idea of education as a positional good and suggest that educational inequalities reflect broader patterns of inequality in society. Our results further indicate that the importance of parental education and cultural capital for children's education can be explained by within‐resource transmission but that pro‐educational norms tied to wealth may play an increasingly important role in educational mobility. In summary, this study sheds light on the multidimensional nature of social origins and highlights the role of different factors in shaping educational outcomes over time.
Unveiling health dynamics: Exploring the impact of CO2 emissions, urbanization, and renewable energy on life expectancy and infant mortality in SAARC countries (1990–2022)
Authors: Guo Aijun , Ullah Obaid , Zeb Ali , Din Naeem Ud , Hussain Shujaat 
Published: April 2024

AbstractThis study examines the intensifying threat to public health caused by increased CO2 emissions from energy and modern urbanization. In this connection, we focused on SAARC countries from 1990 to 2022. The study explores the dynamic association among urbanization, CO2 emissions, renewable energy, and key health indicators, namely life expectancy and infant mortality. It offers nuanced insights by highlighting the requirement for sustainable policies to meet health challenges associated with CO2 emissions and urban development in SAARC economies. To achieve the study objectives, the authors utilized panel auto regressive distributed lag for assessing short‐term and long‐run effects, and the method of moments quantile regressions to check these effects across different quantiles. The empirical results underscore the positive impact of renewable energy, urbanization, GDP, and industrialization on life expectancy. Conversely, CO2 emissions exhibit a detrimental impact on life expectancy, leading towards numerous diseases in both the short and long term. Notably, in the case of infant mortality, the study discloses that renewable energy, urbanization, GDP, and industrialization negatively affect infant mortality, while CO2 emissions positively impact infant mortality in both short and long‐run scenarios. Fully modified ordinary least squares and dynamic ordinary least squares further fortified our findings, supporting the results derived from panel auto regressive distributed lag and method of moments quantile regressions. The study's policy implications highlight the imperative for governments and policymakers to prioritize renewable energy and sustainable urbanization, mitigating the adverse health effects of CO2 emissions from non‐renewable energy sources. The study's findings further endorse a strategic shift towards renewable energy sources, positioning them as substitutes for conventional forms such as fossil fuels. Additionally, the emphasis is on planned and sustainable urbanization, facilitating improved access to health facilities and overall public health.
Application of bacteriophages in biopolymer‐based functional food packaging films
Authors: Rindhe Sandeep , Khan Ajahar , Priyadarshi Ruchir , Chatli Manish , Wagh Rajesh , Kumbhar Vishal , Wankar Alok , Rhim Jong‐Whan 
Published: April 2024

AbstractRecently, food spoilage caused by pathogens has been increasing. Therefore, applying control strategies is essential. Bacteriophages can potentially reduce this problem due to their host specificity, ability to inhibit bacterial growth, and extend the shelf life of food. When bacteriophages are applied directly to food, their antibacterial activity is lost. In this regard, bacteriophage‐loaded biopolymers offer an excellent option to improve food safety by extending their shelf life. Applying bacteriophages in food preservation requires comprehensive and structured information on their isolation, culturing, storage, and encapsulation in biopolymers for active food packaging applications. This review focuses on using bacteriophages in food packaging and preservation. It discusses the methods for phage application on food, their use for polymer formulation and functionalization, and their effect in enhancing food matrix properties to obtain maximum antibacterial activity in food model systems.
Effect of mediumcut‐offmembranes on Pentosidine and N‐(carboxymethyl) lysine levels in uncontrolled diabetic hemodialysis patients
Authors: Koç Neriman Sıla , Yeter Hasan , Yıldırım Tolga , Erdem Yunus , Yılmaz Rahmi 
Published: April 2024

AbstractIntroductionPatients on hemodialysis, especially with diabetes, face elevated cardiovascular events. A major contributor to complications associated with diabetes is advanced glycation end products (AGEs). Removing these compounds is challenging in traditional hemodialysis. Medium‐cut‐off (MCO) membranes potentially remove toxins without significant albumin loss. This study explored how MCO membranes impact AGEs levels in uncontrolled diabetic patients undergoing hemodialysis.MethodsSixteen patients received MCO membrane dialysis, while others used high‐flux (HF) membranes. After 12 sessions, the dialyzers were switched, totaling 24 sessions. Blood samples at trial initiation (T0), session 12 (T1) and session 24 (T2) tested for CML, Pentosidine, laboratory parameters.ResultsSwitching dialyzers showed increased albumin with MCO‐to‐HF and decreased with HF‐to‐MCO, albeit nonsignificant (p = 0.5/p = 0.1). Patients on MCO had lower albumin levels than HF (p = 0.03/p = 0.6, respectively). Hemodialysis with MCO demonstrated lower levels of CML/Pentosidine compared to HF (p = 0.09/p = 0.9 for CML;p = 0.04/p = 0.3 for Pentosidine). Transitioning to HF led to elevated levels (p = 0.4/p = 0.09 for CML;p = 0.3/p = 0.07 for Pentosidine).ConclusionMCO dialysis in diabetic individuals notably reduces AGE levels.
Genome‐resolved metagenomics identifies novel active microbes in biogeochemical cycling within methanol‐enriched soil
Authors: Macey Michael C. 
Published: April 2024

AbstractMetagenome assembled genomes (MAGs), generated from sequenced 13C‐labelled DNA from 13C‐methanol enriched soils, were binned using an ensemble approach. This method produced a significantly larger number of higher‐quality MAGs compared to direct binning approaches. These MAGs represent both the primary methanol utilizers and the secondary utilizers labelled via cross‐feeding and predation on the labelled methylotrophs, including numerous uncultivated taxa. Analysis of these MAGs enabled the identification of multiple metabolic pathways within these active taxa that have climatic relevance relating to nitrogen, sulfur and trace gas metabolism. This includes denitrification, dissimilatory nitrate reduction to ammonium, ammonia oxidation and metabolism of organic sulfur species. The binning of viral sequence data also yielded extensive viral MAGs, identifying active viral replication by both lytic and lysogenic phages within the methanol‐enriched soils. These MAGs represent a valuable resource for characterizing biogeochemical cycling within terrestrial environments.