bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a replication competent murine norovirus reporter system
Authors: Olson Mikayla C. , Orchard Robert C. 
Published: January 2025

AbstractCaliciviruses are significant agricultural and human pathogens that are poorly understood due to the dearth of molecular tools, including reporter systems. We report the development of a stable, faithful, and robust luciferase-based reporter system for a model calicivirus, murine norovirus (MNoV). Genetic insertion of a HiBiT tag, an 11 amino acid fragment of nanolucifersase, at the junction of the nonstructural proteins NS4 and NS5 yields infectious virus. The resultant MNoV-HiBiT produces robust signal that is detected early in infection and occurs only in cells susceptible to MNoV infection. As proof of principle, we used this tool to characterize two unappreciated host directed anti-MNoV compounds. The use of the MNoV-HiBiT virus enables new mechanistic studies by a rapid and quantitative means of measuring MNoV replication. Furthermore, the HiBiT insertion strategy we describe may be useful for the generation of other calicivirus reporters.Author SummaryColloquially known as “the stomach bug,” human norovirus is a leading cause of foodborne illness worldwide. Despite its prevalence, there are no approved therapeutics or vaccines against norovirus owing to the challenges in cultivation of the virus and a lack of a small animal model of human norovirus. Murine Norovirus (MNoV) has emerged as a tractable model due to its similarity to human norovirus and the ability to grow the virus in laboratory strains of mice and immortalized cells in vitro. Reporter viruses, which include enzymatic or fluorescent reporter genes in the viral genome, are invaluable tools that expedite viral research. Unfortunately, there are no MNoV reporter systems available. Here we developed a novel reporter MNoV using a complimentary nanoluciferase. Specifically, we inserted a HiBiT tag into the MNoV genome that is functionalized into a full nanoluciferase protein and emits light in the presence of LgBiT. We demonstrated that MNoV-HiBiT is a faithful and sensitive reporter of viral replication across MNoV strains and cell types. We used the reporter virus to screen novel anti-viral compounds, demonstrating that the MNoV-HiBiT system is a powerful tool to enhance norovirus research.
High-Resolution Structures of Tobacco Mosaic Virus Disks from Cryo-Electron Microscopy
Authors: Abu-Baker Ismael , Biela Artur P. , Shah Sachin N. , Heddle Jonathan G. , Lomonossoff George P. , Blum Amy Szuchmacher 
Published: January 2025

AbstractTobacco mosaic virus has been involved in many important developments in virology, structural biology, and biotechnology. Despite decades of study, several key aspects of the viral assembly mechanism remain unclear, particularly the structure of the coat protein disk that initiates virus assembly by interacting with the viral RNA. Here we report the first cryo-electron microscopy structures of the coat protein disk under conditions typically used forin vitrovirus assembly. We identify 1-, 2-, and 3-layered disks, all of which differ significantly from previous structures obtained by X-ray crystallography. These new models lead to a revised viral assembly mechanism. We also compare coat proteins produced in bacteria and plants to better understand the effect of N-terminal acetylation.
Current gaps in survey design and analysis for molecular xenomonitoring of vector-borne neglected tropical diseases: a systematic review
Authors: McLure Angus , Alamnia Tilahun , Xu Zhiwei , Lau Colleen L. , Mayfield Helen J. 
Published: January 2025

AbstractObjectivesMolecular Xenomonitoring (MX) is a surveillance method for vector-borne diseases where vectors are tested for molecular pathogen markers. Testing is typically on pools (groups) of vectors. MX is a sensitive and efficient complement to human based surveillance. However, there is limited guidance about the appropriate design and analysis of MX surveys. We reviewed the literature to understand the common objectives, survey designs, and analysis methods for MX surveys for two vector-borne neglected tropical diseases: lymphatic filariasis (LF) and onchocerciasis.MethodsWe searched peer-reviewed literature for studies published between 1999 and 2022 that presented the results of surveys that collected vectors in field surveys and used a molecular test for the presence of the causative pathogens for LF and onchocerciasis.ResultsA total of 76 studies (LF: 45; onchocerciasis: 31) across 30 countries were included in the review. The five most common objectives were determination of elimination status after mass drug administration, comparison of vector and human infection indicators, evaluation of an intervention, comparison of vector collection methods, and comparison of laboratory techniques. Nearly all studies used a cluster or hierarchical sampling frame to collect vectors (72/76), but very few studies accounted for this in their designs (2/76) or analysis (1/76). While few studies justified the number of vectors included in each pool (5/76), nearly all studies accounted for pooled testing when calculating pathogen prevalence from results (69/76). Few studies justified the number or selection of sampling sites or total sample size (16/76).ConclusionsPublished MX surveys for LF and onchocerciasis had varied objectives, study designs and analysis methods, but proper consideration of survey design was frequently missing from the analysis. There is a need for statistical tools and guidance to enable appropriate design and analysis of MX surveys while accounting for disease, objective, and context-specific considerations.
“Boats need water and tigers need jungle” - Locally constructed corporate social responsibility in Thailand
Authors: Kuasirikun Nooch , Constable Philip 
Published: January 2025

PurposeThis paper explores corporate social responsibility (CSR) in Thailand and analyses how CSR practice is informed by local values rather than merely driven by CSR practices designed in developed countries.Design/methodology/approachThe analysis is based on a comparative series of interviews of Thai business leaders in 2009–10 and 2019–20 within the conceptual context of Thai CSR discourse/practice, especially Buddhist Economics.FindingsThis paper argues that CSR practice in Thailand is substantially informed by local socio-economic context, particularly Buddhist Economics, including the concepts of suffering (dukkha), the Eightfold Path of the Middle Way, and gifting and reciprocal exchange.Research limitations/implicationsLocal contexts are crucial not only for understanding local models of CSR but also for challenging what has been perceived as an imperialistic neo-liberal agenda in western-originating CSR.Practical implicationsThe wider practical implications of this paper are that, like Thailand, CSR practices in other developing economies and emerging markets (DEEMs) may also have their own distinctive ‘local’ origins, contexts and developments which need to be considered.Social implicationsThe social implications of this paper are that local context is determinant in the development of CSR practice, especially in DEEMs.Originality/valueThis paper contributes to the CSR literature by highlighting the often-marginalised existence of local CSR context and practice in DEEMs and questions CSR based solely on western theorisations.
A matrixed nonlinear grey Bernoulli model for interval number prediction of power generation in East China
Authors: Zeng Linglai , Gao Mingyun , Cang Haoze 
Published: January 2025

PurposeThe interval number prediction of power generation can provide a reference for the rational planning of the power system. For the nonlinearity, uncertainty and complex trends of power generation in East China, a matrixed nonlinear grey Bernoulli model combined with the weighted conformable fractional accumulation generating operator (MWCFNGBM(1,1,tα)) is proposed.Design/methodology/approachFirst, the original sequence fluctuations are smoothed with the weighted conformable fractional accumulation generating operator. The time power term is introduced into the nonlinear grey Bernoulli model to enhance the flexibility and adaptability of predicting nonlinear and complex sequences. The model parameters are further matrixed so that the interval number sequences can be modeled directly. The improved MPA is chosen to optimize the nonlinear parameters through the algorithm comparison. Finally, the Cramer rule is used to derive the time recursive formula.FindingsThe validity and superiority of the MWCFNGBM(1,1,tα) is verified by the model comparison experiment. The total power generation in East China is predicted and analyzed from 2024 to 2027. The prediction shows that it will grow steadily over the next four years.Originality/valueThe trend of power generation in East China is complex in the short term. It is of research significance to use the grey model for short-term interval prediction of power generation. For the data characteristics of power generation, a grey interval number prediction model for power generation prediction is proposed.
Exploring co-participation in health: strategies and initiatives towards inclusive well-being
Authors: Traub Carolina , Kovacevic Rialda 
Published: January 2025

PurposeThis article explores the main elements of co-participation in health, examining how community engagement can improve health outcomes and health services’ overall efficiency. It aims to discuss and identify key features that facilitate co-participation strategies in service delivery and health program implementation.Design/methodology/approachThe authors conducted a general literature review to comprehensively explore the role of co-participation in health, drawing on scientific literature and real-world examples to identify key factors that contribute to successful health interventions. A total of 50 published resources were included, and a descriptive analysis was performed, focusing on summarizing existing literature and highlighting key themes and practical strategies. Documents were selected from publications dated between 2004 and 2024.FindingsCommunity participation is presented as a critical factor in improving population health outcomes. The examined initiatives promote the idea that community integration into the design and implementation of health programs increases treatment adherence, users' health perception and improved health outcomes. Several strategies and approaches are presented as key tools to adequately integrate community engagement such as community empowerment, government decentralization and incorporation of technology, among others.Practical implicationsCoparticipation in health improves health outcomes and promotes greater equity and social justice. Involving citizens in health decision-making contributes to improving the quality of life and well-being of the community. Empowering patients’ decision-making not only builds one’s self-agency in health decision-making but also simultaneously facilitates closing the gaps in healthcare service delivery due to large shortages in the health workforce around the world. This has further implications for overall health systems’ financing, efficiency and sustainability.Social implicationsThis research has social implications as it underscores how community participation is essential for fostering equity, justice and inclusivity within health systems.Originality/valueThis article offers an innovative perspective on the role of partnership in achieving good health outcomes, highlighting the importance of adapting interventions to local contexts, the need for sustainable financing and the inclusion of a wide range of actions toward participation.
Mobilization for collective market shaping: interplay of innovation and issue networks
Authors: Mehtälä Mari , Lehtimäki Tuula , Komulainen Hanna , Salmi Asta 
Published: January 2025

Purpose
The purpose of this paper is to investigate network mobilization for collective market shaping. The authors focus on sustainable innovations that require broad cross-sectoral mobilization to create collective action among network actors. By drawing on insights from mobilization in innovation and issue networks, the authors shed light on the role of these two different networks in mobilizing collective action and triggering collective market shaping for sustainable innovations.

Design/methodology/approach
This paper presents a qualitative case study on the commercialization of a new low-carbon eco-concrete. The eco-concrete faces significant challenges in entering the market, due to the construction industry’s entrenched practices and institutional arrangements. These challenges emphasize the critical need for mobilizing collective action to generate the momentum for market change.

Findings
The findings reveal four types of interplay between mobilization in innovation and issue networks: synergistic and complementary mobilization that can reinforce collective market shaping and conflicting and diluting mobilization that can impede collective action and hinder the market shaping for sustainable innovations.

Originality/value
This paper contributes to a more comprehensive understanding of the role of mobilization in triggering collective market shaping. In particular, this research sheds light on the early stages of market shaping for sustainable innovations where broad mobilization for collective action is critical.
Implementing the Uganda lower secondary competence-based curriculum: the equity question
Authors: Barasa Mercy Chemutai , Ssentamu Proscovia Namubiru , Chang’ach John Koskey , Kurgat Susan Jepkoech 
Published: January 2025

Purpose
This paper aims to explore the extent to which the Uganda lower secondary curriculum (LSC) reform, instituted in January 2020, has ensured equitable educational opportunities for secondary school learners considering school and learner socio-economic status.

Design/methodology/approach
A qualitative approach was adopted in which the experiences and perceptions of both facilitators and implementers of the reform were gathered using interviews and lesson observations.

Findings
Data revealed disparities among high and low socio-economic-status schools in their preparedness and capacity to implement the reform, with the consequence of divergent educational opportunities for learners in these contexts.

Research limitations/implications
The sample was limited to government-aided secondary schools and thus excluded private schools; the majority in Uganda. This means that the findings may be limited in generalizability. However, the majority of private schools serve the lower socio-economic demographic, so the study findings and implications may extend to them as well.

Practical implications
The findings suggest that unless the government intervenes with measures to boost the capacity of schools in low socio-economic contexts to implement the reform, the outcome of the curriculum may be a society further stratified along socio-economic lines.

Social implications
The findings indicate that the new LSC may contribute greatly to social stratification through disparate educational opportunities for different sections of the Ugandan populace. This could work against national socio-economic ambitions and also lead to non-achievement of the UN SDG4 of quality, equitable, inclusive education for all.

Originality/value
This paper demonstrates how Uganda, a developing nation, is faring in the achievement of the global educational policy goal of equity in the implementation of its competence-based LSC reform. It highlights key policy and research gaps that should be addressed to promote equitable learning opportunities for all learners.
Parametric simulation of piezoelectric transducer based on finite element method
Authors: Chen Jin , Wang Junwei , Zhu RuiYun , Zhang Wenyue , Teng Duo 
Published: January 2025

Purpose
Finite element analysis of underwater transducers typically requires a high level of expertise, and the iterative process of testing various sizes, material parameters and other factors is often inefficient. To address this challenge, this paper aims to introduce underwater transducer parametric simulation (UTPS) software to streamline the design and optimization process.

Design/methodology/approach
The design methodology integrates the strengths of ANSYS Parametric Design Language (APDL) for parametric design with the Qt Creator framework for developing a visual interface. C++ is used to encapsulate complex, hard-to-master APDL macros and interact with ANSYS software to execute the relevant APDL macros, performing finite element analysis on the underwater transducer in the background. The results are then processed and displayed on the visual interface.

Findings
UTPS enables parametric modeling, modal analysis, harmonic response analysis and directivity analysis of underwater transducers. Users only need to input parameters into the software interface to obtain the transducer’s performance, significantly improving work efficiency and lowering the professional threshold. A prototype transducer was fabricated and tested based on UTPS results, which confirmed the accuracy of the software.

Originality/value
This paper presents an innovative parametric simulation tool for underwater transducers, combining finite element analysis and APDL to simplify and expedite the design process. UTPS reduces the need for specialized knowledge, cutting down on training costs, while its parametric design capabilities accelerate the design process, saving resources.
Development of a Recombinant Omicron BA.1 Subunit Vaccine Candidate in Pichia pastoris
Authors: Kalyoncu Sibel , Sayili Dogu , Kuyucu Ayca Zeybek , Soyturk Hakan , Gullu Seyda , Ersayan Busra , Tarman Ibrahim Oguzhan , Avci Mehmet Ender , Mert Olcay , Haskok Umut , Tekin Ege , Akinturk Huseyin , Orkut Ridvan , Demirtas Aysegul , Tilmensagir Idil , Ulker Ceren , Gungor Bilgi , Inan Mehmet 
Published: January 2025

ABSTRACTLow‐cost and safe vaccines are needed to fill the vaccine inequity gap for future pandemics. Pichia pastoris is an ideal expression system for recombinant protein production due to its cost‐effective and easy‐to‐scale‐up process. Here, we developed a next‐generation SARS‐CoV2 Omicron BA.1‐based recombinant vaccine candidate expressed in P. pastoris. The receptor binding domain of Omicron BA.1 spike protein (RBD‐Omicron) was produced at 0.35 g/L in supernatant. With a 60% recovery after two‐step purification, RBD‐Omicron showed 99% purity. After in vitro characterisation of purified RBD‐Omicron via chromatography, mass spectrometry, calorimetry and surface plasmon resonance‐based methods, it was injected into mice for immunization studies. Three different doses of Alum and CpG adjuvanted RBD‐Omicron were investigated and 10 μg RBD‐Omicron gave the highest antigenicity. After two doses of vaccination, IgG titers in mice serum reached to more than 106. These serum antibodies also recognized earlier (Delta Plus: B.1.617.2) and later (Eris: EG.5, Pirola: BA.2.86) SARS‐CoV2 variants. The long‐term immunological response in mice was measured by analyzing serum antibody titers and T‐cell response of splenocytes after 60 weeks. Interestingly, IgG titers and Th1 response were significantly high even after a year. Omicron subvariants are dominantly circulating in the world, so Omicron sub‐lineage‐based vaccines can be used for future pandemics. The RBD‐Omicron‐based vaccine candidate developed in this study is suitable for technology transfer and transition into the clinic.
Precision Psychobiotics for Gut–Brain Axis Health: Advancing the Discovery Pipelines to Deliver Mechanistic Pathways and Proven Health Efficacy
Authors: Slykerman Rebecca F. , Davies Naomi , Vlckova Klara , O'Riordan Kenneth J. , Bassett Shalome A. , Dekker James , Schellekens Harriët , Hyland Niall P. , Clarke Gerard , Patterson Elaine 
Published: January 2025

ABSTRACTAdvancing microbiome–gut–brain axis science requires systematic, rational and translational approaches to bridge the critical knowledge gaps currently preventing full exploitation of the gut microbiome as a tractable therapeutic target for gastrointestinal, mental and brain health. Current research is still marked by many open questions that undermine widespread application to humans. For example, the lack of mechanistic understanding of probiotic effects means it remains unclear why even apparently closely related strains exhibit different effects in vivo. For the therapeutic application of live microbial psychobiotics, consensus on their application as adjunct treatments to conventional neuromodulators, use in unmedicated populations or in at‐risk cohorts with sub‐clinical symptomatology is warranted. This missing information on both sides of the therapeutic equation when treating central nervous system (CNS) conditions makes psychobiotic research challenging, especially when compared to other pharmaceutical or functional food approaches. Expediting the transition from positive preclinical data to proven benefits in humans includes interpreting the promises and pitfalls of animal behavioural assays, as well as navigating mechanism‐informed decision making to select the right microbe(s) for the job. In this review, we consider how these decisions can be supported in light of information accrued from a range of clinical studies across healthy, at‐risk and pathological study populations, where specific strains have been evaluated in the context of gastrointestinal physiology, brain function and behaviour. Examples of successful, partial and unsuccessful translation from bench to bedside are considered. We also discuss the developments in in silico analyses that have enhanced our understanding of the gut microbiome and that have moved research towards pinpointing the host–microbe interactions most important for optimal gut–brain axis function. Combining this information with knowledge from functional assays across in vitro and ex vivo domains and incorporating model organisms can prime the discovery pipelines with the most promising and rationally selected psychobiotic candidates.
Anatomical mapping of neural lineages expressing the transient receptor potential vanilloid type 1 receptor using a modified and combined PACT and CUBIC protocol for rapid tissue clearance
Authors: Kitzerow Oliver , Christensen Samuel , Hong Juan , Adam Ryan J. , Zucker Irving H. , Jensen‐Smith Heather , Wang Han‐Jun 
Published: January 2025

AbstractAimTissue clearance is a rapidly evolving technology that allows for the three‐dimensional imaging of intact biological tissues. Preexisting tissue‐clearing techniques, such as Passive Clarity Technique (PACT) and Clear Unobstructed Brain Imaging Cocktails and Computational Analysis (CUBIC), clear tissues adequately but have distinct disadvantages, such as taking extensive time to clear tissues and degradation of endogenous tissue fluorescence. We developed a new tissue‐clearing technique combining PACT and CUBIC protocols to map the neural lineages expressing the transient receptor potential vanilloid type 1 (TRPV1) receptor.MethodsTo test the effectiveness of this modified protocol, a TdTomato reporter mouse line was crossed with a separate mouse line containing Cre recombinase under the control of the TRPV1 promoter, which would result in TRPV1 cell lineages expressing green fluorescence protein (GFP).ResultsCompared to the PACT protocol that requires several weeks to months for tissue clearance, our approach reached a satisfactory clearance within 3 days in all neural tissues as well as several non‐neural tissues such as colon, duodenum, and pancreas. Compared to the CUBIC approach, all tissues reserved strong GFP fluorescence. Robust GFP fluorescence was visualized in sensory neuronal soma but not in sympathetic ganglia neuronal soma. On the other hand, GFP fluorescence in the TRPV1 cells appeared to be expressed throughout the epithelium of the duodenum and colon and the arteriole smooth muscle in all non‐neuronal tissues.ConclusionThis study shows that our combined PACT and CUBIC (CPC) protocol can clear tissues in significantly less time while preserving tissue integrity and fluorescence.