bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motivations to reuse smart mobility: unpacking behavioral dynamics through a multi-analytical approach
Authors: Chung Chanho , Kim Myung Ja , Chung Namho , Olya Hossein 
Published: November 2024

Purpose
This paper aims to identify which intrinsic motivations (ride comfort, safety and app convenience) and extrinsic motivation (monetary value) are sufficient and necessary to stimulate the reuse intention of smart mobility services. It also aims to understand the effect of gender on the impacts of these motivations on reuse intention.

Design/methodology/approach
This research utilized a multi-analytical approach with the combination of survey and qualitative analysis methods to enquire into the roles of intrinsic and extrinsic motivations influencing the reuse intention of smart mobility among different gender groups. Specifically, the study was conducted through the application of partial least squares structural equation modeling (PLS-SEM), multigroup analysis (MGA) and fuzzy-set qualitative comparative analysis (fsQCA).

Findings
The findings of this research revealed that monetary value and ride comfort have a positive impact on travel consumers’ intention to reuse smart mobility for both gender groups. While ride comfort was the sole necessary factor for male users, ride comfort and app convenience were necessary conditions for females in their intention to reuse smart mobilities. Moreover, results indicated that females tend to rate safety and app convenience higher than males in their decision to reuse smart mobility.

Originality/value
Using an analytical research approach enables the development of in-depth insights into how different relationships and configurations of motivational factors impact travel consumers’ reuse intentions based on different gender roles. To the best of the authors’ knowledge, this is the first empirical research to identify the necessary motivations for reusing smart mobility services.
Understanding sustainable investments: an empirical study of best-in-class mutual funds
Authors: López Vázquez Belén , MartÍnez-Gonzalo Jóse-MarÍa , Gómez Olmedo Ana M. , Guevara Riera María Fernanda 
Published: November 2024

PurposeThis research aims to examine mutual funds investment behavior to further understand the dynamics of sustainable investments in the global marketplace and their evolution. Sustainable investing is increasing in the market due to (1) its performance, (2) the investors' criteria and (3) the companies' interest in contributing to sustainable development.Design/methodology/approachTo explore this area, we evaluated Morningstar's best-in-class funds, that is, five-star rated in profitability and five globes in sustainability, while adding rankings such as Sustainalytics to further test the performance against ESG criteria. To test the hypotheses, we used regression statistics to find correlations between quantitative and qualitative factors such as diversification of the investments per sector and region or fund category.FindingsThe results show that funds invested in different sectors, such as technology and healthcare, contributed to an increase in the overall profitability of the fund, while investments in other industries were less profitable. The contribution of this study is based on empirical data that shows why and how ESG investments are growing based on their market evolution.Originality/valueThis study aims to advance knowledge of SRI investment, profitability and market growth, particularly by showing sustainable investment dynamics per industry (e.g. Technology) and regions (e.g. Europe) which not only favor future investments but also sustainable economic growth.
Cross-market volatility dynamics in crypto and traditional financial instruments: quantifying the spillover effect
Authors: Shahrour Mohamad H. , Lemand Ryan , Mourey Mathis 
Published: November 2024

PurposeThis paper examines the volatility spillover effects from traditional financial assets to cryptocurrency markets and vice versa. It aims to provide insights into the dynamic interconnectedness of these markets.Design/methodology/approachThis paper employs the time-varying parameter vector autoregression technique to examine the volatility spillover among the crypto markets (across leading cryptocurrencies such as Bitcoin (BTC), USD Tether, NEAR Protocol (NEAR), Immutable and Dogecoin) and traditional financial instruments (Treasury Bills (TBILL) and Volatility Index).FindingsThe results reveal significant bidirectional volatility spillovers between cryptocurrencies and traditional financial assets. NEAR and BTC act as a major transmitter of volatility, both influencing others significantly (71.63 and 68.17%, respectively) and being influenced by others (54.74 and 62.3%, respectively). TBILL and Grayscale Bitcoin Trust ETF are the largest net receivers of volatility, indicating a higher dependency on other assets’ volatility.Practical implicationsUnderstanding the volatility spillover dynamics can aid investors in portfolio diversification and risk management. The findings provide actionable insights for constructing portfolios that include both cryptocurrencies and traditional financial assets, allowing for more informed investment decisions under volatile market conditions.Originality/valueThis paper contributes to the literature by analyzing volatility spillovers among traditional financial markets and various major cryptocurrencies. It offers a framework for assessing how shocks in one market or cryptocurrency can propagate to others, thereby enhancing the understanding of interconnectedness between markets. This understanding improves our ability to risk manage modern portfolios, which increasingly include significant alternative assets like cryptocurrencies.
Innovative food supply chain through spatial computing technologies: A review
Authors: Ma Peihua , Jia Xiaoxue , Gao Mairui , Yi Zicheng , Tsai Shawn , He Yiyang , Zhen Dongyang , Blaustein Ryan A. , Wang Qin , Wei Cheng‐I. , Fan Bei , Wang Fengzhong 
Published: November 2024

AbstractThe global food supply chain faces significant challenges related to inefficiencies, quality variability, and traceability issues, all of which contribute to food waste and consumer distrust. Spatial computing (SC) technologies, including augmented reality (AR), virtual reality (VR), and digital twins, offer promising solutions by enhancing precision agriculture, logistics, manufacturing, and retail operations. This review explores SC's potential across the entire food supply continuum, emphasizing improvements in resource management, supply chain transparency, and consumer engagement. Despite its promise, the widespread adoption of SC is limited by technical challenges and a lack of standardized protocols. The findings suggest that while SC has the potential to revolutionize the food supply chain by improving sustainability, efficiency, and safety, further interdisciplinary research and collaboration are essential to fully unlock its capabilities.
Carboxymethyl chitosan: Synthesis, functional properties, and applications in sustainable food packaging material
Authors: Pan Qingyan , Ma Huawei , Liu Zhe , Pan Chuanyan , Zuo Xifeng , Cheng Si , Li Keying , Lv Jun , Guo Ailing 
Published: November 2024

AbstractGlobal environmental concerns about non‐degradable packaging materials are increasing. Carboxymethyl chitosan (CMCS), a polysaccharide widely used in the food industry, has gained attention in the field of food packaging. Due to its biodegradability, film‐forming ability, and biocompatibility, CMCS has emerged as a sustainable option for degradable and functional food packaging materials, offering solutions to plastic pollution and food waste issues. This review explores CMCS as a food packaging and delivery material, detailing its synthesis methods, optimal preparation conditions, functional properties post‐carboxymethylation, and applications in the food industry, alongside safety assessments. It summarizes the physicochemical interactions of CMCS‐based composites and their impact on relevant properties, highlighting CMCS's potential as a green strategy for smart and active food packaging materials. Additionally, it presents the latest advancements in CMCS applications in the food industry over the past decade. CMCS exhibits good biocompatibility and antibacterial properties, and its functionality in food packaging films and delivery materials is enhanced through functional modification and polymerization. CMCS is widely used as a matrix for food preservation films or coatings and as a carrier for active ingredients, thereby improving the encapsulation efficiency and storage stability of functional food components. This review comprehensively outlines the applications of CMCS in the food industry, filling gaps in the existing literature, and laying a theoretical foundation for the development of CMCS technology. It provides a reference for further research, emphasizing the need to further investigate its molecular structure and chemical properties to optimize functionality and safety, thereby fully tapping into the potential of CMCS in the food industry.
Reassessing the importance of barley starch and amylolytic enzyme properties in malting and brewing
Authors: De Schepper Charlotte F. , Courtin Christophe M. 
Published: November 2024

AbstractEfficient conversion of starch to fermentable sugars and dextrins is essential during brewing as it drives process efficiency, resource efficiency, and the quality of the end product. Recent changes in barley growth conditions due to climate change challenge brewers in maintaining these essential aspects of the brewing process. The main component of barley, starch, is also undergoing changes, which can lead to detrimental effects on the brewing process. Additionally, variations in barley genotype and preparatory processing, such as malting, can affect starch properties of the barley malt. These changes in and fluctuations of the raw material barley for brewing have led to recent research focusing on the importance of starch granule proportions, starch structure, and starch behavior as a means to cope with these new challenges. In this review, we summarize the main findings regarding starch properties and behavior from barley to beer, discuss the importance of balancing starch gelatinization and starch hydrolysis during the mashing process, identify research gaps, and suggest potential trajectories for future research.
Laboratory Experiments Suggest a Limited Impact of Increased Nitrogen Deposition on Snow Algae Blooms
Authors: Almela Pablo , Elser James J. , Giersch J. Joseph , Hotaling Scott , Rebbeck Victoria , Hamilton Trinity L. 
Published: November 2024

ABSTRACTSnow algal blooms decrease snow albedo and increase local melt rates. However, the causes behind the size and frequency of these blooms are still not well understood. One factor likely contributing is nutrient availability, specifically nitrogen and phosphorus. The nutrient requirements of the taxa responsible for these blooms are not known. Here, we assessed the growth of three commercial strains of snow algae under 24 different nutrient treatments that varied in both absolute and relative concentrations of nitrogen and phosphorus. After 38 days of incubation, we measured total biomass and cell size and estimated their effective albedo reduction surface. Snow algal strains tended to respond similarly and achieved bloom‐like cell densities over a wide range of nutrient conditions. However, the molar ratio of nitrogen to phosphorus at which maximum biomass was achieved was between 4 and 7. Our data indicate a high requirement for phosphorus for snow algae and highlights phosphorus availability as a critical factor influencing the frequency and extent of snow algae blooms and their potential contribution to snow melt through altered albedo. Snow algae can thrive across a range of nitrogen (N) and phosphorus (P) conditions, with a higher P requirement for optimal growth. Our study suggests that increased N deposition may have a limited impact on snow algae bloom occurrence and size, emphasising P as a key factor influencing these blooms and their potential to accelerate snow melt by lowering albedo.
Comparative biochemical and transcriptomic analyses reveal the bases of Rhopalosiphum padi L. resistance in Aegilops tauschii Coss.
Authors: Narang Deepika , Singh Beant , Grewal Satvir Kaur , Kaur Satinder , Chhuneja Parveen 
Published: November 2024

AbstractRhopalosiphum padi L. is one of the most devastating cereal aphids in the world. Its feeding does not induce a clear phytotoxic response in plants. Little information is available on defence response triggered by R. padi feeding on wild wheats, frequently used to improve hexaploid wheat. An attempt has been made to understand the differential biochemical and molecular responses of R. padi feeding on moderately resistant and susceptible Aegilops tauschii genotypes. RNA‐Seq based transcriptomic analysis was conducted on 14 day‐old leaf tissues of moderately aphid resistant (R) genotype (Ae. tauschii pau14232) and susceptible (S) genotype (Ae. tauschii pau14138) infested with R. padi for 12, 24 and 48 h. Plant response to aphid infestation was comparatively faster in R genotype. A total of 10,589 genes were altered in R genotype in comparison to only 8068 differentially expressed genes (DEGs) in S genotypes. There was a gradual increase in significant DEGs from 12 to 48 h after R. padi infestation in R (4931–6582) and S genotype (4860–5736). Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that 18 pathway genes were differentially expressed in R and S genotypes at different feeding time intervals. Gene ontology enrichment analysis of DEGs after R. padi feeding indicated up‐regulation of genes for secondary metabolite synthesis, reactive oxygen species (ROS)‐scavenging, transcription factors (ethylene responsive transcript factor [ERF], NAC, WRKY, MADS‐box and Myb) and salicylic acid and ethylene signalling pathways in R genotype while down‐regulation in S genotype. However, photosynthesis and light‐harvesting DEGs were down‐regulated in both the genotypes resulting in decreased chlorophyll content. Biochemical analysis showed that R. padi feeding induced substantial hydrogen peroxide accumulation in R genotype unlike in S genotype. Also, activities of peroxidase and catalase were comparatively higher in R than S genotype, confirming efficient ROS‐scavenging in R genotype. Quantitative polymerase chain reaction expression validation studies of 11 DEGs followed same trend as in RNA‐Seq data. Our study concluded up‐regulation of stress response genes, salicylate and ethylene signalling pathways and efficient ROS‐scavenging imparted a fitness advantage to R genotype during R. padi attack, resulting in reduced nymphiposition and nymphal survival. These findings will help in understanding the mechanism of host plant resistance and the development of aphid resistant wheat varieties.
Piezo1 exacerbates inflammation‐induced cartilaginous endplate degeneration by activating mitochondrial fission via the Ca2+/CaMKII/Drp1 axis
Authors: Lin Zhidi , Xu Guangyu , Lu Xiao , Wang Hongli , Lu Feizhou , Xia Xinlei , Song Jian , Jiang Jianyuan , Ma Xiaosheng , Zou Fei 
Published: November 2024

AbstractMitochondrial homeostasis plays a crucial role in degenerative joint diseases, including cartilaginous endplate (CEP) degeneration. To date, research into mitochondrial dynamics in IVDD is at an early stage. Since Piezo1 is a novel Ca2+‐permeable channel, we asked whether Piezo1 could modulate mitochondrial fission through Ca2+ signalling during CEP degeneration. In vitro and in vivo models of inflammation‐induced CEP degeneration were established with lipopolysaccharide (LPS). We found increased expression of Piezo1 in degenerated CEP tissues and LPS‐treated CEP cells. The Piezo1 activator Yoda1 exacerbated CEP cell senescence and apoptosis by triggering Ca2+ influx. Yoda1 also induced mitochondrial fragmentation and dysfunction. In contrast, the Piezo1 inhibitor GsMTx4 exerted cytoprotective effects in LPS‐treated CEP cells. Additionally, the CaMKII inhibitor KN‐93 reversed Yoda1‐induced mitochondrial fission and restored mitochondrial function. Mechanistically, the phosphorylation and mitochondrial translocation of Drp1 were regulated by the Ca2+/CaMKII signalling. The Drp1 inhibitor Mdivi‐1 suppressed mitochondrial fission, then reduced mitochondrial dysfunction and CEP cell death. Moreover, knockdown of Piezo1 by siRNA hindered CaMKII and Drp1 activation, facilitating the redistribution of mitochondrial Drp1 to the cytosol in LPS‐treated CEP cells. Piezo1 silencing improved mitochondrial morphology and function, thereby rescuing CEP cell senescence and apoptosis under inflammatory conditions. Finally, subendplate injection of GsMTx4 or AAV‐shPiezo1 alleviated CEP degeneration in a rat model. Thus, Piezo1 may exacerbate inflammation‐induced CEP degeneration by triggering mitochondrial fission and dysfunction via the Ca2+/CaMKII/Drp1 axis.
Prioritizing future evidence needs for marine and freshwater mammal conservation action
Authors: Hordern E. , White T.B. , Berthinussen A. , Smith R.K. , Sutherland W.J. , Christie A.P. 
Published: November 2024

AbstractMarine and freshwater mammals are increasingly threatened due to human activity. To improve conservation practice, decisions should be informed by the available evidence on the effectiveness of conservation actions. Using a systematically collated database of studies that test the effectiveness of actions to conserve marine and freshwater mammals, we investigated the gaps and biases in the available scientific evidence base. While there is a growing evidence base covering actions to address key threats (e.g. fisheries and bycatch) to marine and freshwater mammal populations, we identified large geographic and taxonomic biases. There was no relationship between the number of studies and marine mammal species per ecoregion and we found biases towards coastal areas of the Global North, with many regions and species having little or no evidence available. The number of studies per species did not correlate with (1) the threat level, (2) evolutionary distinctiveness or (3) the public ‘popularity’ of the study species. We also found a mismatch between actions tested and the actions suggested as needed in the International Union for the Conservation of Nature (IUCN) Red List. Several of these gaps and biases likely reflect the feasibility of researching marine mammal populations; many species can be difficult to access, with limited baseline information on populations and threats, and testing actions can require costly long‐term monitoring. Prioritizing the most cost‐effective conservation strategies for marine and freshwater mammal species will require a comprehensive evidence base on the effects of actions. Continuing to build the necessary baseline data, and focusing future research and funding towards the priority gaps identified in this study will be important to deliver this target.
ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty
Authors: Musleh M. , Ceneda D. , Ehlers H. , Raidou R. G. 
Published: November 2024

AbstractUser confidence plays an important role in guided visual data analysis scenarios, especially when uncertainty is involved in the analytical process. However, measuring confidence in practical scenarios remains an open challenge, as previous work relies primarily on self‐reporting methods. In this work, we propose a quantitative approach to measure user confidence—as opposed to trust—in an analytical scenario. We do so by exploiting the respective user interaction provenance graph and examining the impact of guidance using a set of network metrics. We assess the usefulness of our proposed metrics through a user study that correlates results obtained from self‐reported confidence assessments and our metrics—both with and without guidance. The results suggest that our metrics improve the evaluation of user confidence compared to available approaches. In particular, we found a correlation between self‐reported confidence and some of the proposed provenance network metrics. The quantitative results, though, do not show a statistically significant impact of the guidance on user confidence. An additional descriptive analysis suggests that guidance could impact users' confidence and that the qualitative analysis of the provenance network topology can provide a comprehensive view of changes in user confidence. Our results indicate that our proposed metrics and the provenance network graph representation support the evaluation of user confidence and, subsequently, the effective development of guidance in VA.
Aspartate aminotransferase‐to‐platelet ratio index outperforms Fibrosis‐4 in 2843 Korean patients with metabolic dysfunction‐associated steatotic liver disease
Authors: Jang Se Young , Yoon Ki Tae , Cho Young Youn , Jo Hoon Gil , Baek Yang Hyun , Moon Sang Yi , Jo Ae Jeong , Kweon Young‐Oh , Park Soo Young , Lee Yu Rim , Jun Dae Won , Tak Won Young 
Published: November 2024

AbstractAimThe definition of metabolic dysfunction‐associated steatotic liver disease (MASLD) has recently been proposed. We aim to investigate the diagnostic efficacy of noninvasive fibrosis markers in predicting liver fibrosis in patients with nonalcoholic fatty liver disease (NAFLD), metabolic dysfunction‐associated fatty liver disease (MAFLD), and MASLD.MethodsThis retrospective study involved 2843 patients diagnosed with steatotic liver disease at six tertiary hospitals in South Korea. Liver fibrosis was assessed using vibration‐controlled transient elastography, and various noninvasive markers, including the aspartate aminotransferase‐to‐platelet ratio index (APRI), Fibrosis‐4 index (FIB‐4), NAFLD fibrosis score (NFS), and serum Mac‐2‐binding protein glycosylation isomer were analyzed.ResultsAmong 1106 patients, 79.9% met criteria for NAFLD, MAFLD, and MASLD. The APRI had area under the receiver operating characteristic curve (AUC) values of 0.819, 0.821, and 0.818 for liver fibrosis ≥F2, and 0.819, 0.824, and 0.884 for liver fibrosis ≥F3, and 0.890, 0.884, and 0.889 for fibrosis ≥F4 in NAFLD, MAFLD, and MASLD, respectively. The FIB‐4 index showed AUC values of 0.776, 0.793, and 0.778 for fibrosis ≥F2, 0.788, 0.814, and 0.79 for fibrosis ≥F3, and 0.846, 0.859, and 0.856 for fibrosis ≥F4. The APRI consistently had the highest AUC values, except in individuals older than 64 years for fibrosis ≥F4.ConclusionsThe APRI was the most effective noninvasive fibrosis marker across NAFLD, MAFLD, and MASLD, particularly in age‐stratified analyses. Further research is needed to establish standardized cut‐off values and enhance the clinical utility of these markers in managing liver fibrosis.