bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of customer value co-creation in online medical consultation on customer service well-being
Authors: Peng Jiamin , Fu Chi , Guo Yujuan , Huang Lingwen 
Published: January 2025

PurposeThis study focuses on the context of interactions in online medical-consultation services. It integrates theories of value co-creation and social support, and it introduces customer-perceived doctor’s contribution behaviors (DCBs) as mediators to investigate the impact of customer value co-creation behavior (CVCB) on customer service well-being (CSW). This study also explores the moderating roles of communication and task characteristics of interactive medical interfaces.Design/methodology/approachA survey of 353 patients with online consultation experience were conducted. Structural equation modeling and PROCESS macro technology were used to test the hypotheses.FindingsCVCB positively affects CSW through the mediating role of DCBs, including cure-based knowledge contribution behavior (KCB) and care-based emotional supportive behavior (ESB). The difference in task-oriented communication styles between customers and doctors weakens the positive effect of CVCB on perceived doctor’s cure-based KCB and care-based ESB. However, task complexity diminishes the positive effect of CVCB on perceived doctor’s cure-based KCB.Practical implicationsManagers of online medical-consultation platforms can optimize service design and enhance positive doctor–patient interactions to improve CSW and promote sustainable platform growth. This can effectively address social equity issues associated with the uneven distribution of medical resources and enhance societal well-being.Originality/valueThere is insufficient attention to the perceived well-being caused by the service context and customer–employee interactions, especially in online environments. This study contributes to value co-creation theory and customer well-being research by exploring factors influencing CSW in online medical care.
Static and dynamic systems in problem-solving
Authors: Korn Janos 
Published: January 2025

PurposeParadigm change in systems thinking is justified, and a new direction is suggested. The change of state of equilibrium from unsatisfactory to acceptable driven by a dynamic system is described as problem-solving which is innate and universal in the living sphere. An empirical theory of problem-solving is proposed which integrates by design or chance the mental effort of creating the envisaged change with the symbolic structure of “product – dynamic system” which drives the former.Design/methodology/approachThe elementary constituent of structures and systems is identified as 1 – and 2 – place sentences or ordered pairs, the smallest parts of natural language which make sense and of which complex, linguistic structures can be constructed by following the stages of “linguistic modelling”. This leads to sequences of predicate logic conditionals representing the propagation of state or the reasoning structure which may be related to AI. A “story” of a problematic scenario in natural language is transformed into its analytical equivalent.FindingsProblem-solving approaches have a long historical background ending with the current, extensive “systems thinking” but none has come up with a comprehensive, empirical approach the reasons for which is discussed. The proposed theory clarifies the role of conventional science, the arts and engineering in problem-solving. It is rooted in current branches of knowledge, involves the use of mathematics and other disciplines and is highly teachable, needs debate, software and further developments.Originality/valueMathematical modelling is restricted to the use of quantitative properties. The symbolic structure of the proposed theory is processed, natural language which admits the use of emotive properties as part of logical conditionals derived from semantic diagrams. Systems thinking is now part of problem-solving. The analytical content allows the inclusion into teaching curriculum at school and higher education level, at the same time the method can be adopted to informal applications. An integrated theory of creative and methodical problem-solving driven by matching systems/product by design as well as static systems as part of dynamic systems is presented. Problem-solving is innate and universal in living things; it is the primary phenomenon to be identified driving its own means of resolution: the system.
Unravelling seafarers’ fatigue post-pandemic: the role of job demand–resource theory from the perspective of Malaysian seafarers
Authors: Zakariah Wan Nurnadiera Aiza , Ngah Nor Syamaliah , Rahi Samar , Kamalrulzaman Nurul Izni , Albtoosh Qais Abdel Aziz , Ngah Abdul Hafaz 
Published: January 2025

PurposeBased on the job demand and resource (JD–R) model, this study identifies the factors influencing fatigue among seafarers in Malaysia.Design/methodology/approachA total of 250 responses were gathered via an online survey applying a purposive sampling method. The derived data were analysed using partial least squares-structural equation modelling (PLS-SEM) via SmartPLS 4.FindingsJob demand positively influences sleep problems and occupational stress, while job resources positively impact job autonomy. The research analysis also confirms the positive effect of sleep problems and occupational stress on fatigue. Furthermore, the study reveals the negative effect of job autonomy on fatigue. In-depth analysis confirms the mediation and sequential mediation effects as the determinants of fatigue among seafarers in Malaysia.Practical implicationsBesides enriching the literature on fatigue, the findings provide practical insights to maritime agencies to develop an effective policy to reduce fatigue among seafarers.Originality/valueThe study develops a new model for seafarers’ fatigue via the JD–R model by introducing work pressure, sleep problems, occupational stress and autonomy as sequential mediators.
A systematic literature review on digital transformation in real estate: challenges and opportunities
Authors: Ali Wajhat , Samarasinghe Don Amila Sajeevan , Feng Zhenan , Wilkinson Suzanne , Rotimi James Olabode Bamidele 
Published: January 2025

PurposeThis study identifies key challenges to adopting smart real estate (SRE) technologies and offers insights and recommendations to enhance decision-making for stakeholders, including buyers and property investors.Design/methodology/approachTo achieve the aim of the study, a rigorous research approach was employed, conducting an in-depth analysis of 41 academic papers utilising PRISMA guidelines and checklists. The chosen methodology also applies a PEST (Political, Economic, Social and Technological) framework to identify factors influencing technology adoption in the real estate sector.FindingsThe study uncovers critical challenges to adopting smart real estate technologies, such as regulatory ambiguity, high implementation costs, and societal resistance. PEST analysis reveals that unclear standards and guidelines, coupled with the high financial burden of technology implementation, are significant obstacles. Socially, resistance to change and difficulties in integrating new technologies are prevalent. The study also underscores the potential of artificial intelligence (AI) for predictive analytics and blockchain for secure transactions and records, though their adoption is currently hindered by inadequate infrastructure and regulatory challenges. These findings underscore the need for strategic interventions to address these challenges and facilitate the effective integration of advanced technologies in the real estate sector, thereby enhancing industry innovation and competitiveness.Practical implicationsThe study offers insights for real estate stakeholders to embrace technology effectively, with a conceptual framework contributing to industry advancements.Originality/valueThe study’s key contribution is offering real estate stakeholders execution tactics and recommendations to navigate challenges and utilise technology, thereby driving industry innovation and enhancing competitiveness.
Examining character traits in historical fiction representing Chinese history
Authors: Gou Lin , Son Eun Hye , Guo Daibao 
Published: January 2025

PurposeWe conducted a content analysis on nine historical fiction books representing Chinese history to examine character traits in relation to the historical events and genders.Design/methodology/approachWe employed content analysis as the research approach to analyze the verbal texts and visual displays of the selected historical fiction.FindingsOur findings revealed that (1) characters from the similar historical context shared certain common traits and (2) character traits were portrayed in gender-specific ways but were also influenced by familial, social and historical contexts. These findings illustrate the interconnectedness of historical contexts and gender in the development of character traits in historical fiction.Originality/valueOur study extends the scope of content analysis of historical fiction by examining characters situated in social, cultural and historical contexts and providing a comprehensive understanding of gender portrayal in historical narratives.
Structure–functionality relationship and modification strategies of oat protein: Challenges and opportunities
Authors: Li Runnan , True Alma D. , Sha Lei , Xiong Youling L. 
Published: January 2025

AbstractThe increasing preference for plant‐based proteins over animal‐derived equivalents has intensified research into alternative protein sources, with oats emerging as a noteworthy specialty crop due to their rich array of functional and bioactive components. Despite the growing interest, research into oat proteins remains in its early stages, particularly in understanding the structure–function relationship and modification strategies within food systems. Designing novel food products using oat protein presents both opportunities and challenges; the compact quaternary structure and high thermal stability of oat globulin limit its functionality in diverse applications. This review aims to detail the composition and structural characteristics of oat protein, highlighting the complex relationship between these structural traits and their functional properties. A significant focus is placed on innovative structural modification techniques that enable the cost‐effective transformation of oat protein into a functional ingredient or base for new food product development.
Efficacy of apheresis in antibody‐negative progressive encephalomyelitis with rigidity and myoclonus
Authors: Aoki Yohei , Sakata Mayumi , Suzuki Hidekazu , Hori Kohei , Taruya Junko , Miyamoto Katsuichi 
Published: January 2025

AbstractIntroductionProgressive encephalomyelitis with rigidity and myoclonus (PERM) is characterized by brainstem symptoms, muscle rigidity, and myoclonus. While autoantibodies to inhibitory neurons have been associated with the pathology, about 30% of cases are negative for autoantibodies. There are few reported cases of antibody‐negative PERM and its clinical course and prognosis are unknown.MethodsWe report three cases of antibody‐negative PERM in which plasma exchange was effective.ResultsCase 1 was a 68‐year‐old man, case 2 was a 27‐year‐old woman, and case 3 was a 47‐year‐old woman. In all three cases, steroid pulse therapy and intravenous immunoglobulin had limited effect and plasma exchange was markedly effective. All patients experienced disease relapse, which was effectively treated with plasma exchange.ConclusionIn the present cases of antibody‐negative PERM, plasma exchange was most effective and was maintained long‐term despite repeated relapses. Plasma exchange should be actively chosen in antibody‐negative PERM.
Pectin/gelatin‐based bionanocomposite containing modified graphene quantum dots and carnauba wax as functional fillers for food packaging applications
Authors: Hejabi Negin , Fakhari Ashraf , Haeili Mehri , Ghasempour Zahra 
Published: January 2025

AbstractAlternatives to nonbiodegradable synthetic plastics for food packaging include films made from biopolymers that are nontoxic and environment‐friendly. In this study, carnauba wax (CW) and nitrogen‐doped graphene quantum dots (NG) as functional additives were utilized in the production of pectin/gelatin (PG) film. NG was synthesized through the microwave method, using acetic acid as the carbon source, giving size, and zeta potential of 1.635 nm and +0.647 mV, respectively. NG (0%–10%) and CW (0%–10%) were investigated for nanocomposite film preparation using central composite design. The lowest water vapor permeability of film samples was 1.74 × 10−10 g mm/h m2 kPa, which was obtained at 8.5% CW and 6% NG. The highest solubility rate (57%) was observed in the PG film with 10% NG. The incorporation of NG significantly amplified light absorbance at 280 nm. The antioxidant properties improved as NG content increased from 1.5% to 10%. Optimum condition for the fabrication of film sample was obtained at 8.5% NG and 8.5% CW. Adding NG led to a substantial enhancement in the tensile strength (up to 68.97%) and elongation at break (up to 40.20%). PG film with CW and NG reduced the viable cell count of Staphylococcus aureus and Klebsiella pneumoniae by 4‐ and 1.75‐fold, respectively. The produced composite film combined with NG and CW can serve as suitable novel active packaging components for items prone to oxidation and bacterial spoilage to enhance their quality and longevity.
Causal inference of whole‐grain foods’ risk based on a generative adversarial network and Bayesian network
Authors: Zhao Zhiyao , Wang Qian , Wang Zhaoyang 
Published: January 2025

AbstractWhole‐grain foods (WGFs) constitute a large part of humans’ daily diet, making risk identification of WGFs important for health and safety. However, existing research on WGFs has paid more attention to revealing the effects of a single hazardous substance or various hazardous substances on food safety, neglecting the mutual influence between individual hazardous substances and between hazardous substances and basic information. Therefore, this paper proposes a causal inference of WGFs’ risk based on a generative adversarial network (GAN) and Bayesian network (BN) to explore the mutual influence between hazardous substances and basic information. The experiment results show that the proposed GAN outperformed several traditional data‐imputation methods, producing at least a 13.65% reduction of the root mean square error (RMSE). The classification accuracy of the BN model reached 91%. In conclusion, we distinguish the provinces, periods, food categories, and hazardous substances cause the absolute risk of WGFs and the high risk of mycotoxins and compounds (MaCs) and cadmium.Practical ApplicationThis research can be applied to impute missing values for whole‐grain foods (WGFs) sampling data, and explore the causality among hazardous substances themselves, that between hazardous substances and basic information in WGFs. Additionally, it can be applied to infer root cause of existing or potential WGFs risk (e.g., provinces, periods, food categories, and hazardous substances).
Different processing methods affect the chemical composition and in vitro anti‐tumor activity of ginseng
Authors: Wang Chang , Tang Xiaolei , Yan Fuyuan , Wang Yaping , Wang Xianya , Zhao Daqing , Liu Li , Qi Bin 
Published: January 2025

AbstractGinseng and its processed products are valued as health foods for their nutritional benefits. The traditional forms of processed ginseng include white ginseng, dali ginseng (DLG), red ginseng (RG), and black ginseng (BG). However, the impact of processing on the chemical composition and anti‐tumor efficacy of these products is not well understood. This study quantified total saponins, polysaccharides, and protein levels in both raw and processed ginseng. It also involved measuring 12 monomeric ginsenosides (GS) utilizing high‐performance liquid chromatography (HPLC), identifying ginsenoside compounds, and searching for differential compounds using UPLC‐Q‐Orbitrap‐MS (where MS is mass spectrometry), as well as assessing their anti‐tumor effects through CCK‐8 assays. The findings revealed notable differences in the contents of total saponins, proteins, and polysaccharides between raw ginseng and its processed counterparts. HPLC results showed changes in the types and concentrations of GS after processing; MS analysis identified a total of 39 monomeric ginsenoside compounds, with Rk3 uniquely present in BG. Anti‐tumor tests demonstrated that both raw and processed ginseng effectively inhibited the growth of various tumor cell lines. Specifically, BG exhibited the strongest inhibitory effect on A549 cells, while RG was most effective against HeLa, HepG2, and HT‐29 cells. These findings highlight significant differences in chemical profiles and anti‐cancer activities due to processing methods applied to ginseng. They also provide a foundational reference for establishing quality standards for ginseng products and support advancements in the food industry related to ginseng.Practical ApplicationThe chemical composition of ginseng and its processed products varies significantly. Both black ginseng (BG) and red ginseng (RG) exhibit unique profiles of ginsenosides (GS). These research findings can assist enterprises in selecting appropriate raw materials for white ginseng, dali ginseng, RG, and BG, and enable targeted extraction of desired GS through the choice of specific processed products.
Deep eutectic system enhanced oat protein extraction
Authors: Ge Wuxia , Xiao Zhixin , Ding Xinru , Bi Wentao , Chen David Da Yong 
Published: January 2025

AbstractOats are a rich source of plant‐based proteins owing to their nutritional value, diverse functions, and high abundance. However, traditional methods for extracting oat proteins (OPs), such as alkali solution acid precipitation (ASAP), can cause environmental pollution and potentially protein denaturation. In this work, we studied the use of deep eutectic solvents (DESs) and deep eutectic system (DESys)‐based methods for OP extraction. The DES are composed of ionic liquids (ILs) and choline chloride (ChCl) as hydrogen bond acceptors (HBAs), and polyols as hydrogen bond donors (HBDs) for OP extraction. By systematically investigating the extraction conditions, it was found that using ChCl as an HBA in the DESys‐based method allowed for a significant increase in protein recovery yield compared to the ASAP and DES‐based methods. Furthermore, the physicochemical properties of OPs extracted using the ASAP, DES, and DESys‐based methods exhibited some differences, particularly in their molecular structure, amino acid composition, and thermal properties, suggesting that the properties of OP could be potentially adjusted by DESys‐ and DES‐based methods. When considering both toxicity and protein recovery yield, the DESys‐based extraction method using ChCl as the HBA is more suitable for OP extraction. This study demonstrated a green and efficient method for OP extraction that minimizes environmental impact, potentially bridging the gap between ILs and DES, and offering insights for designing new DES‐ or DESys‐based extraction strategies for biological molecules.
Development of an intelligent control system of high efficiency and online monitoring for hot air drying of peony flowers
Authors: Wang Dong , Wang Yong , Niu Yao , Zhang Weipeng , Li Cunliang , Li Pei , Zhang Xuyang , Zhao Yifan , Yuan Yuejin 
Published: January 2025

AbstractTo enhance the drying quality of peony flowers, this study developed an integrated intelligent control and monitoring system. The system incorporates computer vision technology to enable real‐time continuous monitoring and analysis of the total color change (ΔE) and shrinkage rate (SR) of the material. Additionally, by integrating drying time and temperature data, a hybrid neural network model combining convolutional neural networks, long short‐term memory, and attention mechanisms (CNN‐LSTM‐Attention) was employed to accurately predict the moisture ratio (MR) of peony flowers. The predictive model achieved a coefficient of determination (R2) of 0.9962, a mean absolute error (MAE) of 0.6870, and a root mean square error (RMSE) of 0.7634, demonstrating high accuracy in predicting moisture content during the drying process. Furthermore, the system utilized a fuzzy controller to dynamically regulate the drying parameters. The fuzzy control strategy was used to shorten the drying time by approximately 1 h, improve the drying efficiency by roughly 12%, and significantly maintain the quality of peony flowers. These findings underscore the potential of the system to enhance drying efficiency and product quality.
Older adults and prepared meals: The influence of comfort, nostalgia, and texture preferences on acceptance
Authors: Pepito Bryan Michael L. , Low Julia Y. Q. , Ross Carolyn F. 
Published: January 2025

AbstractThis study's objective was to develop desirable, safe, and nutritious dairy‐rich breakfasts and desserts for older adults while identifying the influence of comfort, nostalgia, and texture preferences. Participants (n = 81, mean age = 71 ± 7.3 years) evaluated two breakfast meals (meat‐containing, vegetarian) and two desserts (chocolate, vanilla puddings) for acceptance; they also answered inquiries concerning texture preferences and reported their feelings of comfort and nostalgia experienced during evaluation. Mean participant liking was 6.2 for the meat breakfast, 5.7 for the vegetarian breakfast, 5.8 for the chocolate pudding, and 4.3 for the vanilla dessert (along a 9‐point scale). Meal liking was mediated by flavor intensity, sweetness intensity, and texture preference. Texture preference results indicated that older adults both like and are comfortable with orally handling textures typically deemed concerning for this population. Liking of the meals also increased if a higher experience of comfort was elicited during meal consumption (p < 0.05); perceived comfort decreased if there was insufficient flavor. Increased nostalgia experienced during meal consumption also increased overall liking. This study provided guidance on acceptable textures for potential product development while highlighting the importance of understanding the perception of nostalgia and comfort for older adults’ meal acceptance.Practical ApplicationsFocusing on older adults, this study showed that nostalgia, comfort, and texture variety are all important elements of an older adult's diet. This research is useful for product developers who can use these elements in designing and testing the acceptance and healthfulness of prepared meals by older adults.