bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
Authors: Vornholt Tobias , Mutný Mojmír , Schmidt Gregor W. , Schellhaas Christian , Tachibana Ryo , Panke Sven , Ward Thomas R. , Krause Andreas , Jeschek Markus 
Published: February 2024

AbstractTailored enzymes hold great potential to accelerate the transition to a sustainable bioeconomy. Yet, enzyme engineering remains challenging as it relies largely on serendipity and is, therefore, highly laborious and prone to failure. The efficiency and success rates of engineering campaigns may be improved substantially by applying machine learning to construct a comprehensive representation of the sequence-activity landscape from small sets of experimental data. However, it often proves challenging to reliably model a large protein sequence space while keeping the experimental effort tractable. To address this challenge, we present an integrated pipeline combining large-scale screening with active machine learning and model-guided library design. We applied this strategy to efficiently engineer an artificial metalloenzyme (ArM) catalysing a new-to-nature hydroamination reaction. By combining lab automation and next-generation sequencing, we acquired sequence-activity data for several thousand ArM variants. We then used Gaussian process regression to model the activity landscape and guide further screening rounds according to user-defined objectives. Crucial characteristics of our enhanced enzyme engineering pipeline include i) the cost-effective generation of information-rich experimental data sets, ii) the integration of an explorative round to improve the performance of the model, as well as iii) the consideration of experimental noise during modelling. Our approach led to an order-of-magnitude boost in the hit rate of screening while making efficient use of experimental resources. Smart search strategies like this should find broad utility in enzyme engineering and accelerate the development of novel biocatalysts.
Mapping glycoprotein structure reveals defining events in the evolution of theFlaviviridae
Authors: Mifsud Jonathon C.O. , Lytras Spyros , Oliver Michael R. , Toon Kamilla , Costa Vincenzo A. , Holmes Edward C. , Grove Joe 
Published: February 2024

SummaryViral glycoproteins drive membrane fusion in enveloped viruses and determine host range, tissue tropism and pathogenesis. Despite their importance, there is a fragmentary understanding of glycoproteins within theFlaviviridae; for many species the glycoproteins have not yet been identified, for others, such as the hepaciviruses, the molecular mechanisms of membrane fusion remain uncharacterised. Here, we combine comprehensive phylogenetic analyses with systematic protein structure prediction to survey glycoproteins across the entireFlaviviridae. We discover class-II fusion systems, homologous to the orthoflavivirus E glycoprotein, in most species, including highly-divergent jingmenviruses and large genome flaviviruses. However, the E1E2 glycoproteins of the hepaci-, pegi- and pestiviruses are structurally distinct, may represent a novel class of fusion mechanism, and are strictly associated with infection of vertebrate hosts. By mapping glycoprotein distribution onto the underlying phylogeny we reveal a complex history of evolutionary events that have shaped the diverse virology and ecology of theFlaviviridae.
An observational cohort study of bronchoalveolar lavage fluid galactomannan andAspergillusculture positivity in patients requiring mechanical ventilation
Authors: Gao Catherine A. , Markov Nikolay S. , Pickens Chiagozie , Pawlowski Anna , Kang Mengjia , Walter James M. , Singer Benjamin D. , Wunderink Richard G. ,   NU SCRIPT Study Investigators
Published: February 2024

AbstractRationaleCritically ill patients who develop invasive pulmonary aspergillosis (IPA) have high mortality rates despite antifungal therapy. Diagnosis is difficult in these patients. Bronchoalveolar lavage (BAL) fluid galactomannan (GM) is a helpful marker of infection, although the optimal cutoff for IPA is unclear. We aimed to evaluate the BAL fluid GM and fungal culture results, demographics, and outcomes among a large cohort of mechanically ventilated patients with suspected pneumonia.MethodsA single-center cohort study of patients enrolled in the Successful Clinical Response in Pneumonia Therapy (SCRIPT) study from June 2018 to March 2023. Demographics, BAL results, and outcomes data were extracted from the electronic health record and compared between groups of patients who grewAspergilluson a BAL fluid culture, those who had elevated BAL fluid GM levels (defined as >0.5 or >0.8) but did not growAspergilluson BAL fluid culture, and those with neither.ResultsOf over 1700 BAL samples from 688 patients, only 18 BAL samples grewAspergillus. Patients who had a BAL sample growAspergillus(n=15) were older (median 71 vs 62 years, p=0.023), had more days intubated (29 vs 11, p=0.002), and more ICU days (34 vs 15, p=0.002) than patients whose BAL fluid culture was negative forAspergillus(n=672). The BAL fluid galactomannan level was higher from samples that grewAspergilluson culture than those that did not (median ODI 7.08 vs 0.11, p<0.001), though the elevation of BAL fluid GM varied across BAL samples for patients who had serial sampling. Patients who grewAspergillushad a similar proportion of underlying immunocompromise compared with the patients who did not, and while no statistically significant difference in overall unfavorable outcome, had longer duration of ventilation and longer ICU stays.ConclusionsIn this large cohort of critically ill patients with a high number of BAL samples with GM levels, we found a relatively low rate ofAspergillusgrowth. Patients who eventually grewAspergillushad inconsistently elevated BAL fluid GM, and many patients with elevated BAL fluid GM did not growAspergillus. These data suggest that the pre-test probability of invasive pulmonary aspergillosis should be considered low in a general ICU population undergoing BAL evaluation to define the etiology of pneumonia. Improved scoring systems are needed to enhance pre-test probability for diagnostic test stewardship purposes.
Cash or cash-less? Exploring the determinants of continuous intention to use e-wallets: the moderating role of environmental knowledge
Authors: Zaidan Hala , Shishan Farah , Al-Hasan Melina , Al-Mawali Hamzah , Mowafi Omar , Dahiyat Samer Eid 
Published: February 2024

Purpose
This study aims to investigate the moderating impact of environmental knowledge on the factors influencing individuals’ continuous intention to use e-wallets.

Design/methodology/approach
Using a quantitative research design, this study develops and empirically tests a structural model. A purposive sample of 344 e-wallet users in Jordan was analyzed using Smart-PLS software.

Findings
The results indicate that perceived usefulness, subjective norms and perceived behavioral control directly influence the intention to continue using e-wallets. Notably, environmental concern and environmental knowledge do not have a direct impact on continuous intention. However, they act as mediators in the relationship between perceived behavioral control and continuous intention. Specifically, environmental knowledge acts as a mediator between perceived behavioral control, subjective norms and continuous intention. Furthermore, environmental knowledge moderates the relationship between perceived behavioral control and subjective norms, significantly impacting users’ continuous intention to use e-wallets.

Originality/value
This study contributes to the extended theory of planned behavior model within the banking sector by emphasizing the enhanced explanatory power of environmental factors. It underscores the pivotal role of environmental knowledge as a moderator that connects determinants of e-wallet usage to continuous intention.
How do reward personalization options influence the public’s willingness to participate in innovation projects? Insights from crowdfunding in Industry 5.0
Authors: Wang Wei , Liu Haiwang , Wu Yenchun Jim 
Published: February 2024

PurposeThis study aims to examine the influence of reward personalization on financing outcomes in the Industry 5.0 era, where reward-based crowdfunding meets the personalized needs of individuals.Design/methodology/approachThe study utilizes a corpus of 218,822 crowdfunding projects and 1,276,786 reward options on Kickstarter to investigate the effect of reward personalization on investors’ willingness to participate in crowdfunding. The research draws on expectancy theory and employs quantitative and qualitative approaches to measure reward personalization. Quantitatively, the number of reward options is calculated by frequency; whereas text-mining techniques are implemented qualitatively to extract novelty, which serves as a proxy for innovation.FindingsFindings indicate that reward personalization has an inverted U-shaped effect on investors’ willingness to participate, with investors in life-related projects having a stronger need for reward personalization than those interested in art-related projects. The pledge goal and reward text readability have an inverted U-shaped moderating effect on reward personalization from the perspective of reward expectations and reward instrumentality.Originality/valueThis study refines the application of expectancy theory to online financing, providing theoretical insight and practical guidance for crowdfunding platforms and financiers seeking to promote sustainable development through personalized innovation.
Exploring the temporal effect of ad clutter on digital ad avoidance: a two-wave longitudinal study
Authors: Çelik Fatih , Yıldız Selçuk Yasin , Ozkara Behcet Yalin , Çam Mehmet Safa , Ibrahim Blend 
Published: February 2024

Purpose
The study investigates the antecedents and consequences of digital ad avoidance in the e-commerce industry. This study aims to investigate how digital ad avoidance relates to internet usage over time, using a two-wave longitudinal research design. This study also explores how real-world advertising clutter (clutter and non-clutter) affects these relationships.

Design/methodology/approach
The data were collected from 192 online consumers in Türkiye, and a two-wave longitudinal research design and structural equation modeling were conducted to test the hypotheses of the conceptual model.

Findings
The results indicated that perceived goal impediment and prior negative experience had positive effects on affective avoidance in both ad-clutter and non-clutter periods. Further, affective avoidance had a significant positive effect on both cognitive and behavioral avoidance in either period. In addition, ad clutter moderated the effects of cognitive and behavioral avoidance on online purchase intention.

Originality/value
This research provides new evidence of the crucial role perceived goal impediment, prior negative experience and perceived control each play in driving digital ad avoidance. This paper contributes to the body of knowledge in the field by exploring how advertising clutter (both cluttered and non-cluttered settings) moderates these relationships through a two-wave longitudinal study.
Blockchain=better food? The adoption of blockchain technology in food supply chain
Authors: Hao Fei , Guo Yueming , Zhang Chen , Chon Kaye Kye Sung Kye-Sung 
Published: February 2024

Purpose
This study aims to investigate the integration of blockchain technology into the food supply chain within the restaurant industry. It focuses on how blockchain can be applied to enhance transparency and trust in tracking food sources, ultimately impacting customer satisfaction.

Design/methodology/approach
A service design workshop (Study 1) and three between-subjects experiments (Studies 2–4) were conducted.

Findings
Results indicate that blockchain adoption significantly improves traceability and trust in the food supply chain. This improvement in turn enhances customer satisfaction through perceived improvements in food safety, quality and naturalness. This study also notes that the effects of blockchain technology vary depending on the type of restaurant (casual or fine dining) and its location (tourist destinations or residential areas).

Practical implications
The findings offer practical insights for restaurant owners, technology developers and policymakers. Emphasizing the benefits of blockchain adoption, this study guides decision-making regarding technology investments for enhancing customer service and satisfaction in the hospitality sector.

Originality/value
This research contributes novel insights to the field of technology innovation in the hospitality industry. It extends the understanding of signaling theory by exploring how blockchain technology can serve as a tool for signal transmission in restaurant food supply chains.
Energy efficiency investment in a developing economy: financial development and debt status implication
Authors: Ekesiobi Chukwunonso , Ogwu Stephen Obinozie , Onwe Joshua Chukwuma , Ifebi Ogonna , Emmanuel Precious Muhammed , Ashibogwu Kingsley Nze 
Published: February 2024

Purpose
This study aims to assess financial development and debt status impact on energy efficiency in Nigeria as a developing economy.

Design/methodology/approach
This study combined the autoregressive distributed lag (ARDL), fully modified ordinary least squares and canonical cointegration regression analytical methods to estimate the parameters for energy efficiency policy recommendations. Secondary data between 1990 and 2020 were used for the analysis.

Findings
The result confirms the long-run nexus between energy efficiency, financial development and total debt stock. Furthermore, the ARDL estimates for this study’s key variables show that financial development promotes energy efficiency in the short run but hinders long-run energy efficiency. Total debt stock limits energy efficiency in Nigeria in short- and long-run periods.

Research limitations/implications
The limitation of this study is that the scope is limited to Nigeria as a developing economy. The need to support energy efficiency projects is a global call requiring cross-country analysis. Despite this study’s focus on Nigeria, it provides useful insights that can guide energy efficiency policy through the financial sector and debt management.

Practical implications
The financial sector must ensure the availability of long-term credit facilities to clean energy investors. The government must maintain a sustainable debt profile to pave the way for capital expenditure on clean energy projects that promote energy efficiency.

Originality/value
The environmental consequences of energy intensity are being felt globally, with the developing countries most vulnerable. The cheapest way to curb these consequences is to promote energy efficiency to reduce the disastrous effect. Driving energy efficiency requires investment in energy-efficient technology but the challenge for developing economies, i.e. Nigeria’s funding, remains challenging amid a blotted debt profile. This becomes crucial to investigate how financial sector development and debt management can accelerate energy-efficient investments in Nigeria.
The benefits of being a mentor teacher in a teacher residency program
Authors: Oh Ji Hyun , Tygret Jennifer A. , Mendez Sylvia L. 
Published: February 2024

PurposeThis instrumental case study (Stake, 1995) explores the benefits experienced by mentor teachers who mentored resident teachers in a year-long residency program.Design/methodology/approachThe study was grounded by the Benefits of Being a Mentor conceptual framework, as defined by Ragins and Scandura (1999). The participating mentor teachers engaged in semi-structured interviews and a focus group. The data were analyzed through inductive and deductive data analysis techniques.FindingsUsing inductive and deductive data analysis techniques, three themes emerged on the benefits of being a mentor teacher: (1) extra support in the classroom, (2) professional learning and growth opportunities, and (3) investing in the future of education. The teachers’ perceived benefits were related to the connectedness of their personal and professional growth, the growth of the resident teachers and their students’ learning.Originality/valueMentor teachers play a vital role in teacher residency programs, as they are the primary influence on their resident teachers’ pedagogical praxis. In a residency program, mentor teachers support resident teachers’ sustained teaching experience by hosting them for one full academic year in their classrooms; therefore, exploring the benefits they receive from serving in this role is essential.
Building bonds: an examination of relational bonding in continuous content contribution behaviors on metaverse-based non-fungible token platforms
Authors: Lee Crystal T. , Li Zimo , Shen Yung-Cheng 
Published: February 2024

PurposeThe proliferation of non-fungible token (NFT)-based crypto-art platforms has transformed how creators manage, own and earn money through the creation, assets and identity of their digital works. Despite this, no studies have examined the drivers of continuous content contribution behavior (CCCB) toward NFTs. Hence, this study draws on the theory of relational bonds to examine how various relational bonds affect feelings of psychological ownership, which, in turn, affects CCCB on metaverse platforms.Design/methodology/approachUsing structural equation modeling and importance-performance matrix analysis, an online survey of 434 content creators from prominent NFT platforms empirically validated the research hypotheses.FindingsFinancial, structural, and social bonds positively affect psychological ownership, which in turn encourages CCCBs. The results of the importance-performance matrix analysis reveal that male content creators prioritized virtual reputation and social enhancement, whereas female content creators prioritized personalization and monetary gains.Originality/valueWe examine Web 3.0 and the NFT creators’ network that characterizes the governance practices of the metaverse. Consequently, the findings facilitate a better understanding of creator economy and meta-verse commerce.
Autonomous path planning and stabilizing force interaction control for robotic massage in unknown environment
Authors: Zhang Xiaoqing , Xiong Genliang , Yin Peng , Gao Yanfeng , Feng Yan 
Published: February 2024

Purpose
To ensure the motion attitude and stable contact force of massage robot working on unknown human tissue environment, this study aims to propose a robotic system for autonomous massage path planning and stable interaction control.

Design/methodology/approach
First, back region extraction and acupoint recognition based on deep learning is proposed, which provides a basis for determining the working area and path points of the robot. Second, to realize the standard approach and movement trajectory of the expert massage, 3D reconstruction and path planning of the massage area are performed, and normal vectors are calculated to control the normal orientation of robot-end. Finally, to cope with the soft and hard changes of human tissue state and body movement, an adaptive force tracking control strategy is presented to compensate the uncertainty of environmental position and tissue hardness online.

Findings
Improved network model can accomplish the acupoint recognition task with a large accuracy and integrate the point cloud to generate massage trajectories adapted to the shape of the human body. Experimental results show that the adaptive force tracking control can obtain a relatively smooth force, and the error is basically within ± 0.2 N during the online experiment.

Originality/value
This paper incorporates deep learning, 3D reconstruction and impedance control, the robot can understand the shape features of the massage area and adapt its planning massage path to carry out a stable and safe force tracking control during dynamic robot–human contact.
Relationship problem mechanisms and negative active responses: the moderating role of behavior monitoring
Authors: Sung Min 
Published: February 2024

Purpose
This study aims to understand what primary relationship problem mechanisms can exist in the franchise channel and how exchange partners respond to them. This study demonstrates how the franchisor’s relationship problem mechanisms (threat, contract enforcement) affect the franchisee’s negative active responses (venting, threatened withdrawal).

Design/methodology/approach
This study tested hypotheses through multiple regression analysis using data from 200 franchisees in Korea-based food franchise systems.

Findings
The results indicated that threat increases venting and threatened withdrawal, while contract enforcement only increases venting. Venting increases threatened withdrawal. In addition, the results indicated that the franchisor’s behavior monitoring positively moderates the relationship between relationship problem mechanisms and negative active responses.

Originality/value
This study helps strategically manage responses to relationship problems by categorizing ‘relationship problem mechanisms’ into intentional relationship problem mechanisms based on communication (threat) and unintentional relationship problem mechanisms based on action (contract enforcement). This study finds that both relationship problem mechanisms, intentional or unintentional, eventually cause threatened withdrawal directly or indirectly. Even if the threat is merely communication, not action, it is more likely to cause relationship dissolution than contract enforcement by directly triggering any negative active response. This study also finds that behavior monitoring can affect exchange partners through interaction with other management mechanisms rather than directly affecting them.
Robert Pagès’ concept of the “auto-document” as a forerunner to neo-documentation’s philosophy of documentality
Authors: Day Ronald E. 
Published: February 2024

Purpose The purpose of this paper is to examine Robert Pagès' 1948 conception of “auto-document” as a possible forerunner to the neo-documentalist conception of “documentality” as offered in Bernd Frohmann’s 2012 article “The Documentality of Mme Briet’s Antelope.”Design/methodology/approach This paper is conceptual and historical.Findings Robert Pagès' concept of the “auto-document” in his 1948 article proposed an understanding of documents that depends on the “uniqueness” of a document. His article proposed a post-Otletian theory of documents similar to a discussion of documents by Bernd Frohmann in 2012 with the concept of “documentality.” Further attention to Pagès work and to Frohmann’s works could result in new understandings of Briet’s works, could illuminate other works and authors understood as belonging to neo-documentation and could yield new understandings of documents and information from the perspective of documentality as a new philosophy of information and documents.Research limitations/implications Further attention to Pagès' work and to Frohmann’s works could yield new understandings of documents and the relation of documentary types across natural and sociocultural domains and bring renewed attention to documentality as a new philosophy of information and documents.Practical implications Attention to these issues could broaden the study of documents and documentation, increase the historical understanding of Suzanne Briet’s works and bring light to other works in neo-documentation, particularly in regard to the concept of documentality as a new philosophy of documentation and information.Social implications Attention to these issues could broaden the study of documents and documentation to include more broadly animal and other natural entities and our relationships to them. The works cited also illuminate an empirical science understanding of documents, documentary evidence and information.Originality/value This is one of the first papers commenting on Robert Pagès’ works and brings renewed attention to Bernd Frohmann’s works, as well as to neo-documentation and its concept and philosophy of documentality, as a new philosophy of information and documents.