bluuebunny/crossref_metadata_2025_split huggingface dataset:
An ISM-DEMATEL analysis of blockchain adoption decision in the circular supply chain finance context
Authors: Wang Lu , Zhang Jun , Li Jian , Yu Huayi , Li Jun 
Published: September 2023

PurposeThis study aims to provide a series of drivers that prompt the blockchain technology (BT) adoption decisions in circular supply chain finance (SCF) and also assesses their degrees of influence and interrelationships, which leads to the construction of a theoretical model depicting the influence mechanism of BT adoption decisions in circular SCF.Design/methodology/approachThis study mainly uses the technology-organization-environment (TOE) framework, which focuses on the aspects based on the nature of innovation, intra-organizational characteristics and extra environmental consideration, to identify the drivers of blockchain adoption in circular SCF context, while the significance and causality of the drivers are explained using interpreting structural models (ISMs) and the decision-making trial and evaluation laboratory (DEMATEL) method.FindingsThe findings of this study indicate that government policy and technological comparative advantage are the underlying reasons for BT adoption decisions, management commitment and financial expectations are the critical drivers of BT adoption decisions while other factors are the receivers of the mechanism.Practical implicationsThis study provides theoretical references and empirical insights that influence the technology adoption decisions of both BT and circular SCF by practitioners.Originality/valueThe theoretical research contributes significantly to current research and knowledge in both BT and circular SCF fields, especially by extending the existing TOE model by combining relevant enablers from technological, organizational and external environmental aspects with the financial performance objectives of circular SCF services, which refer to the optimization of the financial resources flows and financing efficiency.
A lesson from polybutylene succinate plastisphere to the discovery of novel plastic degrading enzyme genes in marine vibrios
Authors: Kimura Yutaro , Fukuda Yutaka , Otsu Rumi , Yu Juwanen , Mino Sayaka , Misawa Satoru , Maruyama Satoshi , Ikeda Yuta , Miyamachi Remi , Noguchi Hiroshi , Kato Satoshi , Yamamoto Yasuhito , Sawabe Tomoo 
Published: September 2023

AbstractPolybutylene succinate (PBS) is an eco‐friendly green plastic. However, PBS was shown as being non‐biodegradable in marine environments, and up until now, only a limited number of PBS‐degrading marine microbes have been discovered. We first set up in vitro PBS‐ and PBSA (polybutylene succinate adipate)‐plastispheres to characterize novel PBS‐degrading marine microbes. Microbial growth and oxygen consumption were observed in both PBS‐ and PBSA‐plastispheres enriched with natural seawater collected from Usujiri, Hokkaido, Japan, and Vibrionaceae and Pseudoalteromonadaceae were significantly enriched on these films. Further gene identification indicated that vibrios belonging to the Gazogenes clade possess genes related to a PBS degrading enzyme (PBSase). The PBS degradation assay for six Gazogenes clade vibrios identified Vibrio ruber, Vibrio rhizosphaerae, and Vibrio spartinae as being capable of degrading PBS. We further identified the gene responsible for PBSase from the type strain of V. ruber, and the purified recombinant vibrio PBSase was found to have low‐temperature adaptation and was active under high NaCl concentrations. We also provided docking models between the vibrio PBSase and PBS and PBSA units to show how vibrio PBSase interacts with each substrate compared to the Acidovorax PBSase. These results could contribute to a more sustainable society through further utilization of PBS in marine environments and plastic recycling.
FROM BUDAPEST TO BRUSSELS: Discursive and Material Failure in Mobile Policy
Authors: Temenos Cristina 
Published: September 2023

AbstractThis article introduces an analytic of discursive and material failure, developing a spatial grammar for analysing both the discursive framing of policies as failed and the actually existing processes and effects of failed policy. Using the case of harm reduction drug policy in Budapest, I demonstrate how a successful policy was made to fail at the local and national scales, and how that failure in turn spurred the mobility of harm reduction's implementation across scales and into the European Union's Drugs Strategy. I show how focusing on policy failure exposes the politics of making and mobilizing urban policy, and how an analysis of failure can uncover unforeseen effects of the local politics of policy mobility. Analysing failure as both discursive and material allows scholars to break down policymaking processes into the political and practical elements assembled in policy mobilization. Discursive policy failures take into consideration the framing and accounting of actions, events and processes, while analysis of material failure begins with seemingly fewer political questions because of its focus on the technical. I argue that it is in understanding the relationship between material and discursive failure that the politics of urban policy mobility becomes a central question.
Greater Covid‐19 vaccine uptake among enrollees offered health and social needs case management: Results from a randomized trial
Authors: Knox Margae , Hernandez Elizabeth A. , Brown Daniel M. , Ahern Jennifer , Fleming Mark D. , Guo Crystal , Brewster Amanda L. 
Published: September 2023

AbstractObjectiveTo investigate Covid‐19 vaccination as a potential secondary public health benefit of case management for Medicaid beneficiaries with health and social needs.Data Sources and Study SettingThe CommunityConnect case management program for Medicaid beneficiaries is run by Contra Costa Health, a county safety net health system in California. Program enrollment data were merged with comprehensive county vaccination records.Study DesignIndividuals with elevated risk of hospital and emergency department use were randomized each month to a case management intervention or usual care. Interdisciplinary case managers offered coaching, community referrals, healthcare connections, and other support based on enrollee interest and need. Using survival analysis with intent‐to‐treat assignment, we assessed rates of first‐dose Covid‐19 vaccination from December 2020 to September 2021. In exploratory sub‐analyses we also examined effect heterogeneity by gender, race/ethnicity, age, and primary language.Data Collection and Extraction MethodsData were extracted from county and program records as of September 2021, totaling 12,866 interventions and 25,761 control enrollments.Principal FindingsApproximately 58% of enrollees were female and 41% were under age 35. Enrollees were 23% White, 12% Asian/Pacific Islander, 20% Black/African American, and 36% Hispanic/Latino, and 10% other/unknown. Approximately 35% of the intervention group engaged with their case manager. Approximately 56% of all intervention and control enrollees were vaccinated after 9 months of analysis time. Intervention enrollees had a higher vaccination rate compared to control enrollees (adjusted hazard ratio [aHR]: 1.06; 95% confidence interval [CI]: 1.02–1.10). In sub‐analyses, the intervention was associated with stronger likelihood of vaccination among males and individuals under age 35.ConclusionsCase management infrastructure modestly improved Covid‐19 vaccine uptake in a population of Medicaid beneficiaries that over‐represents social groups with barriers to early Covid‐19 vaccination. Amidst mixed evidence on vaccination‐specific incentives, leveraging trusted case managers and existing case management programs may be a valuable prevention strategy.
Plankton and marine aggregates as transmission vectors for V. aestuarianus 02/041 infecting the pacific oyster Crassostrea gigas
Authors: Doni Lapo , Tassistro Giovanni , Oliveri Caterina , Balbi Teresa , Auguste Manon , Pallavicini Alberto , Canesi Laura , Pruzzo Carla , Vezzulli Luigi 
Published: September 2023

AbstractVibrio aestuarianus is a bacterium related to mass mortality outbreaks of the Pacific oyster, Crassostrea gigas in Europe. In this study, the role of different planktonic substrates (phytoplankton cells, marine aggregates and chitin fragments) in mediating V. aestuarianus 02/041 infection of oysters was evaluated by controlled infection experiments. It was shown that phytoplankton cells and, to a greater extent, marine aggregates, significantly promote V. aestuarianus 02/041 intake by C. gigas maintained under stressful conditions in the laboratory. Such intake is associated with higher concentration of the pathogen in the bivalve hemolymph and compromised health status of infected oysters. In contrast, chitin particles do not play a significant role as transmission vector for V. aestuarianus 02/041 infecting its bivalve host. Interestingly, incorporation into marine aggregates foster extracellular proteases (ECPs) activity and a higher expression of bacterial virulence genes, that are potentially involved in bivalve infection. Results from this study contribute to elucidate transmission patterns of V. aestuarianus 02/041 to C. gigas that may be useful for the development of efficient measures to prevent and control oyster disease outbreaks.
Hungary: Political Developments and Data in 2022
Authors: VÁRNAGY RÉKA 
Published: September 2023

AbstractThis report on Hungarian politics in 2022 aims at explaining how the incumbent Fidesz‐KDNP (Fidesz‐Keresztény Demokrata Néppárt) government managed to uphold its dominance in Hungarian politics. Through nominating and electing the new president of Hungary, winning the parliamentary elections along with presenting a referendum reflecting the Fidesz political agenda, the government successfully maintained its public support in 2022 despite external challenges such as the war on Ukraine or the ongoing fraud feud with the European Union (EU) and internal conflicts resulting from economic pressures.
Norway: Political Developments and Data in 2022
Authors: BERGH JOHANNES , KARLSEN RUNE 
Published: September 2023

AbstractFollowing the 2021 parliamentary election, which was a big win for the centre‐left, Norway has a governing coalition of the Centre Party and the Labor Party, led by Prime minister (PM) Støre of the Labor Party. The government faced various challenges in 2022 and fell dramatically in public standing, according to public opinion polls. The main difficulties concerned both the government's policy, for instance on COVID‐19, on inflation and energy policy, and also some political scandals that led to high‐profile resignations. The main opposition Conservative Party, led by former PM Solberg, rose in the polls throughout the year. The leaders of the Green and Socialist Left parties resigned in 2022.
The detection of Bursaphelenchus xylophilus via accelerated strand exchange amplification: An ultra‐rapid and accurate method
Authors: Wang Xiujuan , Chen Jiao , Zhang Jinxiu , Duan Yake , Zhang Xin , Shi Chao , Li Yong , Ma Cuiping 
Published: September 2023

AbstractOne of the most damaging pathogens of pinewood is the pinewood nematode, Bursaphelenchus xylophilus, which could cause an adverse effect on the ecosystems of forests and the commerce of timber. Therefore, it is crucial to realize rapid and accurate B. xylophilus detection. In this work, an accelerated strand exchange amplification method (ASEA) was established to detect B. xylophilus for the first time. By integrating with fast nucleic acid extraction, the whole detection procedure could be finished within 30 min, dramatically shortened the detection time. The ASEA method exhibited high specificity towards B. xylophilus and the detection limit for B. xylophilus plasmid DNA was as low as 1.0 × 100 copies/μL. Furthermore, the ASEA approach also exhibited accurate detection for B. xylophilus when applied to actual pinewood samples, meeting the demand of B. xylophilus detection in realistic scenario. We believe the ASEA method has significant potential for B. xylophilus detection, and it will be helpful for controlling forest pest and quarantine regulations.
Phenological description and thermal time requirements for the seedling phase of three Brazilian native forest species
Authors: Martins Fabrina Bolzan , Ferreira Mábele de Cássia , Xavier Rafael Gonçalves , Ribeiro Gabriela Taynara da Silva , Fagundes Flávia Fernanda Azevedo , Reis Fernando Yuri da Silva , da Costa Haroldo Felipe , Borges Bruna Oliveira 
Published: September 2023

AbstractUnderstanding the phenological stages and thermal requirements of the seedling phase of forest species is crucial for sustainable nursery management. This study proposed an adaptation of a phenological scale based on the basic Biologische Bundesanstalt, Bundessortenamt, and Chemical industry, associated with the thermal requirement to describe the phenological stages during the seedling phase of three forest species: Cybistax antisyphilitica, Libidibia ferrea, and Platycyamus regnellii. The phenological scale of C. antisyphilitica and L. ferrea was defined and described through 22 seedling development stages ranging from dry seed to 20th visible leaf emitted on the main stem (from 00 to 120) and P. regnellii for 12 leaf development stages, from dry seed to 10th visible leaf emitted on the main stem (from 00 to 110). In addition, the duration (days) and thermal time (°C day) were determined for each seedling development stage. C. antisyphilitica needs to accumulate more energy (and days) to finish the seedling phase (1551.9°C day or 261 days) compared to L. ferrea (1127°C day or 175 days) and P. regnellii (1109.7°C day or 193 days). However, the three forest species exhibit similar energy demands throughout most stages of seedling development, except code 09–12 for C. antisyphilitica. This study provides important information for optimizing silvicultural techniques, evaluating the response of temperature on phenological stages, and assessing the impacts of global warming on forest seedling development.
Productive entrepreneurship within the entrepreneurial ecosystem: Insights from social exchange theory
Authors: Dutta Dev K. , Khurana Indu 
Published: September 2023

AbstractUtilizing insights from the social exchange theory, we examine the conceptual underpinnings of social exchange relationships between the entrepreneur and other ecosystem actors, explaining the emergence and expansion of EE‐wide productive entrepreneurship. Adopting a process view, we offer a theoretical framework that suggests that, with time, more actors enter the ecosystem, and with diverse resources, approaches, and expectations. Further, the increase of social exchanges among them leads to an expansion in the structures, processes, and networks, thus influencing EE‐wide productive entrepreneurship. This is an important insight for policymakers worldwide that are interested in ensuring productive entrepreneurship within the EE. Our research offers a compelling theoretical rationale for why effective collaboration among EE actors for sharing resources, information, and knowledge facilitates the achievement of productive entrepreneurship.
Measuring and classifying students' cognitive load in pen‐based mobile learning using handwriting, touch gestural and eye‐tracking data
Authors: Li Qingchuan , Luximon Yan , Zhang Jiaxin , Song Yao 
Published: September 2023

AbstractAlthough the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen‐based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real‐time cognitive load. The results found that it was a promising method to predict learners' cognitive load by analysing their handwriting, touch gestural and eye‐tracking data individually and conjunctively. The machine learning approach used in this research achieved a prediction accuracy of 0.86 area under the receiver operating characteristic curve (AUC) and 0.85/0.86 sensitivity/specificity by only using handwriting data, 0.93 AUC and 0.93/0.94 sensitivity/specificity by only using touch gestural data, and 0.94 AUC and 0.94/0.95 sensitivity/specificity by using both the touch gestural and eye‐tracking data. The results can contribute to the optimization of cognitive load and the development of adaptive learning systems for pen‐based mobile learning.
Practitioner notesWhat is already known about this topic

Pen‐based mobile learning systems allow natural ways of handwriting and gestural touching, which can facilitate learners' cognitive processes in mobile learning.
Behavioural and physiological multimodal data are helpful in detecting learners' real‐time cognitive load in mobile learning.
The effectiveness of behavioural and physiological multimodal data for measuring cognitive load in pen‐based mobile learning is limited investigated.
What this paper adds

This paper confirms the effectiveness of handwriting and touch gestural multimodal data for measuring pen‐based learning cognitive load, in terms of their stroke‐, path‐ and time‐based features.
This paper explores the potential of eye‐tracking data in measuring pen‐based learning cognitive load.
A combination of behavioural and physiological multimodal data is reported to increase the prediction accuracy for cognitive load measurement.
Implications for practice and/or policy

Practitioners are suggested to use behavioural and physiological multimodal data individually or conjunctively for measuring cognitive load in pen‐based learning.
The results provide guides for developing adaptive pen‐based learning systems by optimizing the real‐time cognitive load.
Utilizing augmented reality for embodied mental rotation training: A learning analytics study
Authors: Yu Jiaqi , Denham André R. 
Published: September 2023

AbstractMental rotation is the ability to mentally rotate two‐dimensional and three‐dimensional objects in one's mind. Previous studies have examined the relationship between mental rotation abilities and embodied cognition. However, conflicting findings underscore the necessity for further investigation. This study aims to investigate how different levels of embodiment in mental rotation training affect mental rotation training. Three versions of mental rotation training with different levels of embodiment (keyboard, touchpad and augmented reality) were developed for this study. A quasi‐experimental study was conducted with a total of 125 university students to explore how different training versions affect participants' training performances, perception of the usability of the training and mental rotation ability. The results suggest those who used the versions with higher levels of bodily engagement performed better than those who used the versions with lower levels of bodily engagement (p < 0.001). Participants' mental rotation ability also improved significantly after training with the augmented reality (AR1) version compared to those in the keyboard group (p = 0.01). The learning analytics results provide additional clarity by indicating that the participants' mental rotation ability can be predicted by their training performance in the AR condition (p < 0.001). This study has significant implications for the potential of using embodied AR training to improve mental rotation ability.
Practitioner notesWhat is already known about this topic

Mental rotation ability is a malleable trait that can be improved through repeated and long‐term game‐based training.

Short‐term training using digital games has limited impacts on mental rotation ability.

Mental rotation abilities are linked to our bodily interactions with the physical world.

What this paper adds

Investigates how different levels of bodily engagement in a digital game affect short‐term mental rotation training.

Investigates how different levels of bodily engagement in a mental rotation training game affect players' game performance and perception of the usability of the game.

Investigates if players' performance in a mental rotation training game can predict their mental rotation ability and self‐diagnosed sense of direction.

Leverages learning analytics to explain findings generated by traditional research methods.

Implications for practice and/or policy

Leveraging augmented reality technology in more embodied mental rotation training games can facilitate short‐term gains in mental rotation.

Game‐based learning researchers should consider leveraging learning analytics techniques to provide richer and more nuanced explanations for findings generated by traditional research methods.

Game performance in effective mental rotation training games can predict mental rotation abilities, thus potentially assessing such abilities.
Discussion on structure classification and regulation function of histone deacetylase and their inhibitor
Authors: Han Han , Feng Xue , He Ting , Wu Yingfan , He Tianmei , Yue Ziwen , Zhou Weiqiang 
Published: September 2023

AbstractEpigenetic regulation of genes through posttranslational regulation of proteins is a well‐explored approach for disease treatment, particularly in cancer chemotherapy. Histone deacetylases have shown significant potential as effective drug targets in therapeutic studies aiming to restore epigenetic normality in oncology. Besides their role in modifying histones, histone deacetylases can also catalyze the deacetylation of various nonhistone proteins and participate in the regulation of multiple biological processes. This paper provides a review of the classification, structure, and functional characteristics of the four classes of human histone deacetylases. The increasing abundance of structural information on HDACs has led to the gradual elucidation of structural differences among subgroups and subtypes. This has provided a reasonable explanation for the selectivity of certain HDAC inhibitors. Currently, the US FDA has approved a total of six HDAC inhibitors for marketing, primarily for the treatment of various hematological tumors and a few solid tumors. These inhibitors all have a common pharmacodynamic moiety consisting of three parts: CAP, ZBG, and Linker. In this paper, the structure–effect relationship of HDAC inhibitors is explored by classifying the six HDAC inhibitors into three main groups: isohydroxamic acids, benzamides, and cyclic peptides, based on the type of inhibitor ZBG. However, there are still many questions that need to be answered in this field. In this paper, the structure‐functional characteristics of HDACs and the structural information of the pharmacophore model and enzyme active region of HDAC is are considered, which can help to understand the inhibition mechanism of the compounds as well as the rational design of HDACs. This paper integrates the structural‐functional characteristics of HDACs as well as the pharmacophore model of HDAC is and the structural information of the enzymatic active region, which not only contributes to the understanding of the inhibition mechanism of the compounds, but also provides a basis for the rational design of HDAC inhibitors.