bluuebunny/crossref_metadata_2025_split huggingface dataset:
Directed evolution of the multicopper oxidase laccase for cell surface proximity labeling and electron microscopy
Authors: Lee Song-Yi , Roh Heegwang , Gonzalez-Perez David , Mackey Mason R. , Kim Keun-Young , Hoces Daniel , McLaughlin Colleen N. , Adams Stephen R. , Nguyen Khanh , Luginbuhl David J. , Luo Liqun , Udeshi Namrata D. , Carr Steven A. , Hernández-López Rogelio A. , Ellisman Mark H. , Alcalde Miguel , Ting Alice Y. 
Published: October 2024

AbstractEnzymes that oxidize aromatic substrates have shown utility in a range of cell-based technologies including live cell proximity labeling (PL) and electron microscopy (EM), but are associated with drawbacks such as the need for toxic H2O2. Here, we explore laccases as a novel enzyme class for PL and EM in mammalian cells. LaccID, generated via 11 rounds of directed evolution from an ancestral fungal laccase, catalyzes the one-electron oxidation of diverse aromatic substrates using O2instead of toxic H2O2, and exhibits activity selective to the surface plasma membrane of both living and fixed cells. We show that LaccID can be used with mass spectrometry-based proteomics to map the changing surface composition of T cells that engage with tumor cells via antigen-specific T cell receptors. In addition, we use LaccID as a genetically-encodable tag for EM visualization of cell surface features in mammalian cell culture and in the fly brain. Our study paves the way for future cell-based applications of LaccID.
Memory System Maladaptation Impairs CA1-Dependent Temporal Binding and Declarative Memory in the Cntnap2 Knockout Mouse Model of Autism
Authors: Rawlinson Elise C. , McCullough Michael H. , Sellami Azza , Marighetto Aline , Al Abed A. Shaam , Dehorter Nathalie 
Published: October 2024

AbstractGrowing evidence implicates the hippocampus in the pathophysiology of autism spectrum disorder, particularly in the domains of social interactions and cognition. Yet, the mechanisms driving hippocampal-dependent cognitive atypicalities in autism remain poorly defined. Here, we characterize how dysfunction of the CA1 subfield of the dorsal hippocampus (dCA1) impacts critical components of declarative memory. Using trace fear conditioning combined within vivofiber photometry in theCntnap2knockout mouse model of autism, we found that capabilities to bridge temporally distant stimuli, i.e. temporal binding capabilities, were reduced relative to wildtype mice. This impairment was associated with decreased dCA1 activity during temporal gaps. Using a relational/declarative memory task, we also revealed a deficit in flexible spatial memory, a preferential use of egocentric learning strategy. This unflexible learning strategy resulted from the imbalance between memory system activity, promoting frontostriatal-dependent procedural learning instead of dorsal dCA1/hippocampus-dependent relational/declarative memory. Overall, this study elucidates how memory systems are mistuned in theCntnap2knockout mouse model, opening new avenues for understanding and addressing atypical learning in autism.
Structural landscape of engineered multivalent antibody fragments and their application as crystallization scaffolds
Authors: Kedari Ashwini , Hannula Liina , Jayachandran Rupesh Balaji , Rissanen Ilona 
Published: October 2024

SummaryMultivalent recombinant antibody fragments, “multibodies”, are produced by fusing antibody VH and VL domains and provide the ability to bind multiple antigens simultaneously. The oligomeric state of a multibody is believed to be determined by the length of the linker region between the V-domains, with longer linkers resulting in diabodies (60 kDa) and shorter linkers leading to the formation of triabodies (90 kDa), tetrabodies (120 kDa), and larger oligomers. In this work, we investigate this design space by engineering multibodies from the sequences of human mAbs CR57 and Imdevimab, and resolve their crystal structures at 2.25 Å and 2.55 Å resolution, respectively. Our results show that despite minimizing the length of the hinge region between the V-domains, these constructs form diabodies. This indicates that linker length is not the sole determinant of a multibody’s oligomeric state, and additional factors such as the mAb origin species and light chain type must also be taken into account when designing multibodies. Moreover, we confirmed that the native paratope of the antibody is well- maintained in the diabody format, and conducted a proof-of-concept trial comparing the crystallization propensity of a diabody versus a Fab in antibody-antigen complex crystallization. Our results show that a diabody can promote crystallization more effectively than a Fab, demonstrating the potential of diabodies as crystallization scaffolds for antibody- antigen complexes.
Markers, Mechanisms and Metrics of Biological Aging: A Scoping Review
Authors: Ziesel Alison , Reeves Jennifer , Mallidou Anastasia , Newton Lorelei , Rhodes Ryan , Zhang Jie , Paterson Theone , Jabbari Hosna 
Published: October 2024

AbstractBiological aging is a rapidly growing area of research, which entails characterizing the rate of aging independent of an individual’s chronological age. In this review, we analyze the results of biological aging research in 435 papers published in a twelve year window, revealing changing patterns of molecular markers of biological aging use over time, and the development of novel metrics of biological aging. We further identify consistent and discordant research findings, as well as areas of potential future research focusing on questions of measurement with methylation or biomarker-based assessment and other variables relevant to the study of biological age.
Telmisartan impedes JEV infection predominately via AT1/PPARγ axis
Authors: Datey Ankita , Chatterjee Sanchari , Ghosh Soumyajit , Kumar P Sanjai , De Saikat , Ghorai Udvas , Subudhi Bharat Bhusan , Chattopadhyay Soma 
Published: October 2024

ABSTRACTJapanese encephalitis, caused by Japanese encephalitis virus (JEV) is a vector born disease for which no specific therapeutics are available yet. Binding of angiotensin II (Ang II) to angiotensin II type 1 (AT1) receptor induces release of inflammatory cytokines associated with viral encephalitis. Accordingly, Ang II receptor blockers (ARBs) have been proposed to manage encephalitis. Since Telmisartan (TM, antagonist of AT1 and agonist of PPARγ) has relatively better brain access than other ARBs, this investigation aims to evaluate its anti-JEV efficacyin vitroandin vivo.TM reduced JEV titer, RNA and protein (NS3) significantly in the BHK-21 cells with IC50of 24.68μM and CC50of >350 μM (Selectivity Index >14.18) indicating its potential of repurposing against JEV. The anti-JEV efficacy of TM was further observed in macrophages (RAW264.7) and neuronal (SH-SY5Y) cells. Interestingly, the viral load was reduced significantly in pre, co and post-treatment conditions of TM, however most efficiently (80%) in post treatment. In presence of GW (PPARγ antagonist) and AG (AT1 agonist), viral infection was increased remarkably while AT1 was upregulated and PPARγ was downregulated. Whereas, TM treatment reversed the levels of AT1 and PPARγ during infection. Further, reduction of inflammatory markers like p-IRF-3, COX-2 and p-NF-κB was observed after TM treatment in RAW264.7 cells suggesting its immunomodulation through the AT1/PPARγ axis. Finally, the anti-JEV potential of TM was validated in mice model through the reduction of disease score, viral protein and histological changes. Thus, the preclinical efficacy of TM suggests its suitability for repurposing against JEV.
Consumer engagement with shopping platforms: focused on crowdsourcing and crowdsending
Authors: Lee Ha Kyung , Kim Woo Bin , Choo Ho Jung 
Published: October 2024

PurposeIn the context of growing efforts by online businesses to enhance consumer connections, understanding consumer engagement behaviors is imperative. This study explores consumer engagement within online shopping platforms, specifically introducing and examining the roles of crowdsourcing and crowdsending.Design/methodology/approachThe study developed and validated measurement scales for crowdsourcing and crowdsending engagement across transactional, multi-sided and inspirational platforms.FindingsIdentifying five sub-dimensions within crowdsourcing and crowdsending, the results unveiled nuances in consumer–platform interactions, emphasizing the value of co-creation. Crowdsourcing entails transaction-oriented engagements such as knowledge gathering, utilitarian and hedonic browsing, interaction and co-shopping. The findings revealed that crowdsourcing significantly influenced platform commitment, surpassing the impact of crowdsending on transactional platforms. Conversely, crowdsending involves knowledge sharing, feedback, participation, advocacy and reciprocity, fostering active engagement and shared value within the platform ecosystem. Notably, the results showed that crowdsending strengthened commitment to inspirational platforms more than to conventional shopping platforms.Originality/valueThis study contributes to the theoretical understanding of a range of consumer engagement experiences in online shopping environments and presents practical applications, offering valuable insights for commerce businesses aiming to optimize their digital strategies.
An automatic hybrid mesh generation method for combustion fluid dynamics simulations
Authors: Liu Tiantian , Leng Juelin , Xu Kailong , Xu Quan , Yang Yang , Zheng Peng 
Published: October 2024

PurposeAutomatic mesh generation is still a challenge problem for combustion fluid dynamics simulations because of the high-quality requirement and complexity of geometries. This paper aims to find an efficient automatic analysis model creation and mesh generation method to save the time for pre-processing in numerical simulations.Design/methodology/approachBased on the previous work, we explore effective model processing and mesh generation methods from practical engineering applications. Considering the automation and high quality requirement, we construct an automatic mesh generation procedure for combustion fluid dynamics problems.FindingsThe numerical results show that the procedure we proposed in this paper can automatically generate high quality mesh for combustion fluid dynamics simulations. The strategy of fluid model construction is time-saving and with high-precision. The mesh generation method in our procedure is automatic and efficient.Practical implicationsThe procedure proposed in this paper is applicable to the practical engineering application model, such as aircraft simulation, aeroengine simulation and so on. The procedure has been integrated into an numerical simulation software.Originality/valueThe method proposed in this paper has very practical application value. It can be used in the practical application and saves a lot of manual processing time for numerical stimulation specialists.
Measuring the global scientific literature on big data analytics in the LIS: the blending approach of altmetrics and bibliometrics
Authors: Wani Javaid Ahmad , Rehman Ikhlaq Ur , Ganaie Shabir Ahmad , Maqbool Aasia 
Published: October 2024

Purpose
This study aims to measure scientific literature on the emerging research area of “big data” in the field of “library and information science” (LIS).

Design/methodology/approach
This study used the “bibliometric method” for data curation. Web of Science and altmetric.com were used. Data analysis and visualisation were done using three widely used powerful data analytics software, R-bibliometrix, VOSviewer and Statistical Package for Social Sciences.

Findings
This study revealed the most preferred venues for publication. Furthermore, this study highlighted an association between the Mendeley readers of publications and citations. Furthermore, it was evident that the overall altimetric attention score (AAS) does not influence the citation score of publications. Other fascinating findings were moderate collaboration patterns overall. Furthermore, the study highlighted that big data (BD) research output and scientific influence in the LIS sector are continually increasing.

Practical implications
Findings related to BD analytics in LIS techniques can serve as helpful information for researchers, practitioners and policymakers.

Originality/value
This study contributes to the current knowledge accumulation by its unique manner of blending the two approaches, bibliometrics and altmetrics.
A bibliometric study toward quantitative research assessment of security of machine learning
Authors: Paracha Anum , Arshad Junaid 
Published: October 2024

Purpose
Advances in machine learning (ML) have made significant contributions to the development of intelligent and autonomous systems leading to concerns about resilience of such systems against cyberattacks. This paper aims to report findings from a quantitative analysis of literature within ML security to assess current research trends in ML security.

Design/methodology/approach
The study focuses on statistical analysis of literature published between 2000 and 2023, providing quantitative research contributions targeting authors, countries and interdisciplinary studies of organizations. This paper reports existing surveys and a comparison of publications of attacks on ML and its in-demand security. Furthermore, an in-depth study of keywords, citations and collaboration is presented to facilitate deeper analysis of this literature.

Findings
Trends identified between 2021 and 2022 highlight an increase in focus on adversarial ML – 40\% more publications compared to 2020–2022 with more than 90\% publications in journals. This paper has also identified trends with respect to citations, keywords analysis, annual publications, co-author citations and geographical collaboration highlighting China and the USA as the countries with highest publications count and Biggio B. as the researcher with collaborative strength of 143 co-authors which highlight significant pollination of ideas and knowledge. Keyword analysis highlighted deep learning and computer vision as the most common domains for adversarial attacks due to the potential to perturb images whilst being challenging to identify issues in deep learning because of complex architecture.

Originality/value
The study presented in this paper identifies research trends, author contributions and open research challenges that can facilitate further research in this domain.
Product innovation capability and distinctive value positioning drivers for marketing performance: a service-dominant logic perspective
Authors: Zuhroh Siti , Rini Gilang Puspita 
Published: October 2024

Purpose
This paper aims to develop a conceptual model showing how the concept of distinctive value positioning (DVP) could be a strategic solution for improving marketing performance in small and medium enterprises (SMEs) in Indonesia.

Design/methodology/approach
A survey was conducted among owners and managers of creative SMEs using a structured questionnaire to test the proposed model. Additionally, the sample size included 200 respondents who were analyzed using structural equation modeling with the aid of AMOS 23.

Findings
This research used serial mediation to investigate the mediating effect of two concepts in the strategic path to enhance DVP. Channel partner power was incorporated to mediate the relationship between product innovation capability and marketing performance.

Research limitations/implications
Service-dominant logic perspective was enriched with diversity through various analyses. This research further contributed to the field of knowledge by developing a new variable known as DVP. However, it did not extensively explore the various cultural elements in Indonesia that could affect the unique values attached to creative industry products.

Originality/value
DVP was reported as a new concept and showed a significant effect on marketing performance in SMEs.
Learning goal orientation, empowering leadership and participative decisionmaking as predictors of expatriates’ postpandemic job performance
Authors: AlMazrouei Hanan , Zacca Robert 
Published: October 2024

Purpose
This paper aims to investigate the relationship between learning goal orientation, empowering leadership, participative decision-making and organizational citizen behavior and its effect on post-pandemic job performance within the expatriate UAE community.

Design/methodology/approach
The study proposes a theoretical model based on responses from survey data collected from 314 expatriates working in private sector organizations in Dubai, UAE.

Findings
The findings indicate that both learning goal orientation and participative decision-making have a significantly positive direct relationship with organizational citizenship. Furthermore, organizational citizenship is demonstrated to have a significant positive impact on job performance. However, the study reveals that there is no significant relationship between empowering leadership and organizational citizenship.

Originality/value
This study adds to extant expatriate management theory relating to international business by examining the effects that organizational citizenship behavior, learning goal orientation, empowering leadership and participative decision-making have on expatriates’ job performance.
Does state affiliation create information advantage to financial analysts
Authors: Liu Qigui , Liu Bo 
Published: October 2024

PurposeRecent studies have documented the significant influence of investment bank relationships on the forecast accuracy of affiliated analysts. However, the literature primarily focuses on investment bank-firm relationships, such as whether the investment bank has underwriter or lending relationships with firms. Little attention has been paid to the impact of investment bank-state relationships. To fill this gap in the literature, this paper investigates whether investment bank-state relationships create an information advantage for affiliated analysts.Design/methodology/approachWe empirically test the information advantage of state-affiliated analysts using a large sample of analyst forecasts from China spanning the period 2008 to 2020. Specifically, we investigate whether state-affiliated analysts issue more accurate and timely forecasts around macro events. To address endogeneity concerns, we examine instances where analysts move between state-affiliated and non-affiliated banks, as well as changes in the controlling structure of investment banks.FindingsWe find that state-affiliated analysts demonstrate greater accuracy in forecasts driven by macro events, indicating their information advantage. This effect is more pronounced under conditions of heightened economic policy uncertainty and closer ties between investment banks and the state. After transitioning to a non-state-affiliated investment bank, analysts no longer maintain the ability to make superior macro-event-driven forecasts. Conversely, when the investment bank's affiliation changes from non-state to state, financial analysts gain an information advantage following the establishment of new state affiliation. Additionally, state-affiliated analysts tend to issue more assertive forecasts in response to macro events, which are subsequently echoed by their peers. Furthermore, this information advantage is recognized by investors, enhancing stock price informativeness.Originality/valueFirstly, we contribute to the literature on the economic implications of state ownership in financial intermediaries. Secondly, we enrich the existing literature on financial analysts by acknowledging the pivotal role of investment bank relationships in shaping analysts' behaviors. Lastly, unlike existing literature that treats forecasts driven by macroeconomic events and those influenced by firm-specific events as a homogeneous category, this study contributes to the literature by innovatively categorizing analyst forecasts into two distinct types.
The relationship between audit committees, external auditors, and internal control systems: a literature review and a research agenda
Authors: Wehrhahn Christoph , Velte Patrick 
Published: October 2024

Purpose
This paper aims to focus on the relationship between audit committees, external auditors and internal control systems (ICS) and strives to point out mutual influences between the instances to provide an integrated perspective for firms’ multilateral monitoring mechanisms. Furthermore, this study emphasizes the incorporation of sustainability and fraud considerations into the traditional roles of audit committees and auditors.

Design/methodology/approach
This structured literature review is based on 71 empirical-quantitative studies published in high-quality journals between 2005 and 2022. Considering the classification of ICS into ICS quality and internal audit function, the studies are analyzed with regard to audit committees’ and external auditors’ characteristics, divided into incentives and competencies, as well as their mutual relationships.

Findings
This study highlights a dynamic trilateral network of relationships between monitoring authorities and primarily shows that audit committees equipped with adequate competencies generate a substitutive effect for external auditors by reducing their efforts, whereas ICS quality serves as a possible mediator in this network of relationships. The establishment of an integrative three-party coalition of competent and adequately incentivized monitoring parties is essential to guarantee sufficient and appropriate ICS and overall corporate governance quality.

Practical implications
The findings should prompt legislators and firms to ensure a deeper collaboration between audit committees, internal auditors and external auditors to generate synergy effects and economies of scale within the integrative monitoring process. Legislators should develop stricter requirements for competencies of audit committees and auditors. These should include a holistic triad of sustainability, fraud and digital expertise as well as mandatory forensic procedures performed by all monitoring bodies.

Originality/value
The authors contribute to prior research by highlighting the importance of an integrative three-party coalition of monitoring authorities to ensure corporate governance quality and to generate synergy effects within a dynamic multilateral monitoring process. Furthermore, the authors offer cutting-edge implications by stressing the need for consideration of sustainability and fraud aspects in the traditional work and profiles of audit committees and auditors.