bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diet breadth in two polyphagousSpodopteramoths in a wide range of host and non-host plants and the potential for range expansion
Authors: Roy Amit , Wäschke Nicole , Chattington Sophie , Modlinger Roman , Chakraborty Amrita , Chirere Thabani E.S. , Larsson Mattias C , Heckel David G , Anderson Peter , Schlyter Fredrik 
Published: July 2024

AbstractSeveral polyphagous moths are severe crop pests. Diet breadth patterns and mechanisms among polyphagous insects provide an excellent system to study ecological and evolutionary processes in herbivores, driving dietary specialization. However, studies of diet breadth on more than a handful of crops are scarce.Here, we estimated the diet breadth in two species of lepidopteran herbivores from the genusSpodoptera:S. littoralis(SL), with host range including both mono- and dicotyledonous plants andS. frugiperda(SF) Corn strain, primarily adapted to different grass species.Larval performance on 23 crop and wild plant species from 17 families from terrestrial and wetland habitats was compared to an artificial diet in no-choice feeding bioassays. SL survived and performed better on most tested plants, particularly on the family level, except on two monocot plants (maize and leek), where SF performed well. There were five wild non-host plants where both generalists failed to survive. Nutrition indices assay corroborates the findings on a subset of plants.In a subset of plants, larval feeding preference correlated partly, and larval attraction correlated well with larval performance. Female oviposition choice showed a weak correlation with larval performance. This weak correlation implies that these traits are decoupled, and other factors are crucial for female host plant selection.During larval dispersal greenhouse experiments, SL and SF larvae strongly tended to migrate onto their suitable host plants, indicating that this is one factor that modulates female host plant selection.In summary, SL has a broader diet breath compared to SF, surviving on wild plants with no previous exposure. The present study provides the first comprehensive data on the diet breadth of two range-expanding and highly invasive polyphagous herbivores.
2’-O-Methyl-guanosine 3-base RNA fragments mediate essential natural TLR7/8 antagonism
Authors: Alharbi Arwaf S. , Sapkota Sunil , Zhang Zhikuan , Jin Ruitao , Jayasekara W. Samantha N. , Rupasinghe Erandi , Speir Mary , Wilkinson-White Lorna , Gamsjaeger Roland , Cubeddu Liza , Ellyard Julia I. , Wenholz Daniel S. , McAllan Alexandra L. , Rezwan Refaya , Ying Le , Far Hani Hosseini , Bones Josiah , He Sitong , Yu Dingyi , Lennox Kim A. , Hertzog Paul J. , Vinuesa Carola G. , Behlke Mark A. , Ohto Umeharu , Laczka Olivier F. , Corry Ben , Shimizu Toshiyuki , Gantier Michael P. 
Published: July 2024

AbstractRecognition of RNA fragments by Toll-like receptors (TLR) 7 and 8 is a key contributor to the initiation of a protective innate immune response against pathogens. A long-standing enigma is how degradation products of host RNAs, generated by the daily phagocytic clearance of billions of apoptotic cells, fail to activate TLR7 and TLR8 signalling1. Here, we report that select 2’-O-methyl (2’-Ome) guanosine RNA fragments as short as 3 bases, including those derived from host-RNAs, are potent TLR7 and TLR8 antagonists that reduce TLR7 sensingin vivo. Mechanistically, antagonistic fragments are directed towards a distinct binding site on these proteins by 5’-end 2’-Ome guanosine. Our results indicate that host-RNAs evade detection by TLR7/8 due to a pool of abundant host ribosomal 2’-Ome-modified RNA fragments that naturally antagonize TLR7 and TLR8 sensing to avoid auto-immunity. Crucially, rare TLR7 and TLR8 mutations located at this antagonistic site decrease the inhibitory activity of 2’-Ome guanosine RNA fragments and lead to auto-immunity in patients. Our findings also establish that select chemically synthesised 3-base oligonucleotides can harness the protective anti-inflammatory activity of this natural immune checkpoint for therapeutic targeting of TLR7-driven diseases.One Sentence SummaryShort 2’-O-Methyl RNA fragments are natural TLR7/8 antagonists
Robust proteome profiling of cysteine-reactive fragments using label-free chemoproteomics
Authors: Biggs George S. , Cawood Emma E. , Vuorinen Aini , McCarthy William J. , Wilders Harry , Riziotis Ioannis G. , van der Zouwen Antonie J. , Pettinger Jonathan , Nightingale Luke , Chen Peiling , Powell Andrew J. , House David , Boulton Simon J. , Skehel J. Mark , Rittinger Katrin , Bush Jacob T. 
Published: July 2024

AbstractIdentifying pharmacological probes for human proteins represents a key opportunity to accelerate the discovery of new therapeutics. High-content screening approaches to expand the ligandable proteome offer the potential to expedite the discovery of novel chemical probes to study protein function. Screening libraries of reactive fragments by chemoproteomics offers a compelling approach to ligand discovery, however, optimising sample throughput, proteomic depth, and data reproducibility remains a key challenge.We report a versatile, label-free quantification proteomics platform for competitive profiling of cysteine-reactive fragments against the native proteome. This high-throughput platform combines SP4 plate-based sample preparation with rapid chromatographic gradients. Data-independent acquisition performed on a Bruker timsTOF Pro 2 consistently identified ∼23,000 cysteine sites per run, with a total of ∼32,000 cysteine sites profiled in HEK293T and Jurkat lysate. Crucially, this depth in cysteinome coverage is met with high data completeness, enabling robust identification of liganded proteins.In this study, 80 reactive fragments were screened in two cell lines identifying >400 ligand-protein interactions. Hits were validated through concentration-response experiments and the platform was utilised for hit expansion and live cell experiments. This label-free platform represents a significant step forward in high-throughput proteomics to evaluate ligandability of cysteines across the human proteome.
Acoustic-based diagnostics for UAV propeller damage using HNR and Gaussian Naive Bayes
Authors: Cinoğlu Bahadır 
Published: July 2024

PurposeThe purpose of this study is to determine propeller damage based on acoustic recordings taken from unmanned aerial vehicle (UAV) propellers operated at different thrust conditions on a test bench. Propeller damage is especially critical for fixed-wing UAVs to sustain a safe flight. The acoustic characteristics of the propeller vary with different propeller damages.Design/methodology/approachFor the research, feature extraction methods and machine learning techniques were used during damage detection from propeller acoustic data. First of all, sound recordings were obtained by operating five different damaged propellers and undamaged propellers under three different thrusts. Afterwards, the harmonic-to-noise ratio (HNR) feature extraction technique was applied to these audio recordings. Finally, model training and validation were performed by applying the Gaussian Naive Bayes machine learning technique to create a diagnostic approach.FindingsA high recall value of 96.19% was obtained in the performance results of the model trained according to damaged and undamaged propeller acoustic data. The precision value was 73.92% as moderate. The overall accuracy value of the model, which can be considered as general performance, was obtained as 81.24%. The F1 score has been found as 83.76% which provides a balanced measure of the model’s precision and recall values.Practical implicationsThis study include provides solid method to diagnose UAV propeller damage using acoustic data obtain from the microphone and allows identification of differently damaged propellers. Using that, the risk of in-flight failures can be reduced and maintenance costs can be lowered with addressing the occurred problems with UAV propeller before they worsen.Originality/valueThis study introduces a novel method to diagnose damaged UAV propellers using the HNR feature extraction technique and Gaussian Naive Bayes classification method. The study is a pioneer in the use of HNR and the Gaussian Naive Bayes and demonstrates its effectiveness in augmenting UAV safety by means of propeller damages. Furthermore, this approach contributes to UAV operational reliability by bridging the acoustic signal processing and machine learning.
Research on the impact of hard technology innovation on the high-quality development of SRDI enterprises: based on the moderating role of digital transformation
Authors: Wei Yanhui , Meng Zhiling , Liu Na , Mao Jianqi 
Published: July 2024

Purpose
This paper aims to investigate the relationship linking hard technology innovation with the high-quality development (HDP) of SRDI firms. SRDI firms are typically classified as medium-sized to moderately scaled businesses renowned for their specialized, refinement, differentiation and innovation (SRDI), with a focus on providing exceptional products or services to gain a competitive advantage in specific market segments. These firms are dedicated to expanding market share and enhancing innovation capacities both locally and globally. The research also aims to scrutinize the contextual effects of digital transformation within this framework.

Design/methodology/approach
Hard technology innovation consists of three essential components: innovative characteristics, newly developed technology-based intellectual property rights and the volume of R&D initiatives. The evaluation of HDP was performed utilizing the entropy method, with a specific emphasis on assessing value creation and value management capabilities. Subsequently, this study explores the impact of technological innovation on the HDP of firms using a dual-dimension fixed effects model.

Findings
Every aspect of hard technology innovation is essential for promoting the HDP of businesses. The digital transformation of businesses exerts a heterogeneous moderating influence in this process. This is evident in the constructive impact on the connection between innovation attributes and the volume of fruitful R&D initiatives, as well as the HDP of firms. Conversely, the moderating effect is deemed insignificant in the association between new technology-based intellectual property and HDP.

Originality/value
This research delves deeper into the underlying mechanisms that underlie the promotion of HDP through hard technology innovation, thereby expanding the scope of our exploration on the HDP of SRDI firms. It establishes a theoretical framework and practical directives for achieving enhanced development quality amidst the evolving landscape of digital transformation within firms.
Financial anxiety: a systematic review
Authors: Ahamed AFM Jalal , Limbu Yam B. 
Published: July 2024

PurposeFinancial anxiety has become a global concern and a growing research area with significant potential to contribute to the behavioral and personal finance literature. Despite this, the literature is fragmented and inconsistent. Prior studies vary greatly in the breadth of definitions and measures of financial anxiety. There has been no systematic evaluation of literature on financial anxiety antecedents, consequences, and coping strategies. This systematic review fills this gap.Design/methodology/approachWe followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched Scopus and Web of Science and identified 55 eligible studies published between 2009 and 2024.FindingsFinancial anxiety is defined and measured differently in different research domains. We identified several antecedents, including socio-demographic factors (e.g. gender, age, ethnicity, income, employment, racial background, and language proficiency), personality traits, compulsive and impulsive buying behavior, depression or other mental issues, family health issues, and the COVID-19 pandemic and consequences of financial anxiety, including psychological and psychic health, societal and personal relations, financial behavior and well-being, and job-related outcomes. In addition, the literature presents six financial anxiety coping strategies (self-imposed coping mechanisms, spiritual and theological resources, increased financial capability, social and family support, seeking professional help, and language proficiency training). Several future research directions are presented.Originality/valueThis review represents the first systematic compilation and evaluation of the research findings on financial anxiety.
Concept analysis of patient journey disruptions: the obstacle of integrated care
Authors: Vesinurm Märt , Sylgren Inka , Bengts Annika , Torkki Paulus , Lillrank Paul 
Published: July 2024

PurposeThis article aims to clarify the concepts used to understand, analyze and improve a patient’s progress through a health service system. A patient pathway describes plans and intentions. Within it, we distinguish between the clinical pathway of decisions and interventions and the care pathway of supportive activities. As a patient pathway is implemented, it turns into a patient journey of what is done, what happens to a patient’s medical condition and what is experienced and felt. We introduce “patient journey disruption” (PJD) as a concept describing the events that need to be prevented from happening to accomplish integrated, coordinated and seamless care.Design/methodology/approachThe method used in this paper is concept analysis. First, an expert steering group worked to refine the concept of PJDs; second, an analysis of similar concepts from related fields was done to root the concept into existing theories, and third, semi-structured interviews with professionals and patients were done to test the concept of PJDs in the home care context.FindingsPJDs are agency-based harmful events in the execution of the care pathway that deviate the patient journey from what can be reasonably expected. PJDs are management failures, which is why they should be studied by healthcare operations management (HOM) and service science scholars with the intention to find ways to prevent them from happening.Research limitations/implicationsThis study has limitations, including presenting conceptual ideas and preliminary results that are only indicative.Practical implicationsWe believe that the introduction of the concept of PJDs into the literature provides a new, systematic way of approaching the different shortcomings in our healthcare production systems. Moreover, by systematically identifying different PJDs, interventions can be designed and targeted more appropriately.Originality/valueManagerial challenges regarding healthcare processes have been studied but have not been well defined. The concept of PJDs is an original, well-thought-out definition.
Nexus among cloud-based accounting, employee job performance, employee digital skills and operational performance: a mediating–moderating model
Authors: Vo Dao Truc Thi , Abu Afifa Malik , Bui Duong Van , Van Hien Vo , Nguyen Nha 
Published: July 2024

Purpose
This paper aims to examine the nexus among cloud-based accounting (CBA), employee job performance (EJP) and operational performance (OPP) in the circumstances of Vietnam, an emerging nation. In which the authors examine EJP as a mediator variable inside the research model. Furthermore, the employee digital skills (EDS) factor is examined as a moderating variable for the CBA-EJP nexus and the CBA-OPP nexus, respectively.

Design/methodology/approach
The study’s sample was acquired through extensive screening methods. This study used email surveys to acquire data. The survey was sent to 1,200 chief financial officers of Vietnamese firms. For analysis, the ending pattern of 401 e-surveys was used.

Findings
By using partial least squares structural equation modeling, the results imply that the CBA has a favorable effect on EJP and OPP. Furthermore, EJP favorably mediates the linkage between CBA and OPP, whereas EDS play a significant moderator role in the CBA-EJP nexus and CBA-OPP nexus, respectively.

Practical implications
This study highlights the crucial role of human factors (i.e. EDS and EJP) for the internal modern applying behaviors (i.e. CBA) and firm value (i.e. OPP) of firms in emerging markets. Therefore, managers should scrutinize the performance of human factors in an essential interval to improve modern applied behaviors and make them more powerful, thus improving the OPP of their firms. Substantially, firm managers should focus on employing the EDS, which enhances the CBA-EJP nexus and the CBA-OPP nexus, respectively.

Originality/value
This study enlarges the OPP documentation by detailing the beneficial effects of human factors as well as the CBA. Furthermore, the study recognizes the effectiveness of EDS as a moderator variable in the context of developing economies. Finally, this work has been regarded as earlier empirical research that integrates all of the aforementioned components into a single model in emerging economies, particularly Vietnam.
Mental health research in tourism and hospitality: a horizon 2050 paper
Authors: Hu Fangli , Wen Jun , Kozak Metin 
Published: July 2024

Purpose
This paper aims to cover mental health research related to tourism and hospitality, starting in 1984, and track its development until 2020. Relevant research published between 2020 and 2023 during the COVID-19 pandemic is also reviewed to determine how this research stream is evolving.

Design/methodology/approach
A detailed search of Scopus and Google Scholar yielded 4,790 mental health studies in tourism and hospitality; 102 were ultimately retained for systematic review. VOSviewer was used to visualize cluster analysis results.

Findings
Research on mental health in the context of tourism and hospitality is limited and can be classified into four themes. The most prominent involves mental health in relation to COVID-19. Thematic differences between studies published before and after the onset of the pandemic are also specified. The findings inform a critical reflection on the conceptual framework linking tourism and mental health, as well as potential research avenues, covering research populations, topics, methods, data sources and outcome measures.

Practical implications
This in-depth analysis of the extant literature provides a foundation for stakeholders to better understand, address and promote mental health in tourism and hospitality. Such insights can steer future research and enlighten industry practitioners, thus contributing to sustainable industry development.

Originality/value
This paper represents a pioneering effort to systematically review mental health studies in tourism and hospitality. It offers a holistic perspective and unique insights, bridging substantial knowledge gaps. This paper is also meant to prompt academics and practitioners to contemplate mental health-related research and practice.
A retrospective analysis of disease epidemiology, comorbidities, treatment patterns, and healthcare resource utilization of alopecia areata in the United Arab Emirates using claims database
Authors: Hammadi Anwar Al , Parmar Nisha V. , Farghaly Mohamed , Dallal Sara Al , Zayed Mostafa Wagdy Abdullah , Ebeid Fadwa , Subramanyam Kumaresan , Ramachandrachar Badarinath Chickballapur , Ahmed Haytham Mohamed 
Published: July 2024

AbstractAlopecia areata (AA) is an autoimmune disorder that manifests as nonscarring hair loss and imposes a substantial disease burden. The current study, using an e‐claims database, assesses the disease burden, comorbidities, treatment patterns, specialties involved in the diagnosis of AA, healthcare resource utilization (HCRU), and associated costs in privately insured patients with AA in Dubai, United Arab Emirates. The retrospective longitudinal secondary study was conducted using Dubai Real‐World Database e‐claims data during 01 January 2014 to 30 June 2022. Patients with at least one diagnosis claim of AA during the index period (01 January 2015–30 June 2021) with continuous enrollment (one or more AA/non‐AA claim in the post‐index period) were included in the analysis. The patients were stratified into subcohorts based on diagnosis code and treatment patterns, as mild, moderate‐to‐severe, and others. Demographics, comorbidities, treatment patterns, specialists visited, and HCRU were assessed. The study included 11 851 patients with AA (mean age: mild: 37 years; moderate‐to‐severe: 36 years), with a male predominance (mild: 77.6%; moderate‐to‐severe: 60.8%). The most prevalent comorbidities in the moderate‐to‐severe AA subcohort were autoimmune and T‐helper 2–mediated immune disorders, including contact dermatitis and eczema (62.1%), atopic dermatitis (36.1%), and asthma (36.1%). Most patients consulted dermatologists for treatment advice (mild AA: 87.4%; moderate‐to‐severe AA: 47.7%) and, notably, within 1 day of AA diagnosis. Topical steroids were frequently prescribed across cohorts, regardless of disease severity. Analysis of comorbidities among patients with AA indicated an additional HCRU burden among these subsets of patients. The median disease‐specific HCRU cost was higher for psychological comorbidities versus autoimmune and T‐helper 2–mediated immune disorders (US $224.99 vs US $103.70). There is a substantial disease and economic burden in patients with AA and associated comorbid conditions; therefore, investing in novel therapies that target the underlying autoimmune pathway may address the gap in effective management of AA.
Leaf elemental composition of species growing on contrasting soils in two adjacent rainforests: Serpentinized ultramafic versus volcano‐sedimentary rock
Authors: Jaffré Tanguy , Isnard Sandrine , Ibanez Thomas 
Published: July 2024

AbstractThe flora of New Caledonia is renowned as one of the world's most significant biodiversity hotpots. The contrasting soil conditions that characterize this small archipelago profoundly influence species local diversity and distribution. Because the difference between soil chemistry is likely to cause variation in leaf elemental composition, we wanted to test how different soil properties affect plant community and leaf elemental concentration. We focused on two adjacent forests, of similar physiognomy, growing on serpentinite (ultramafic rock), and on volcano‐sedimentary rock. Both soils strongly differed in their pH, cation exchange capacity, and element concentration (Al, Mn, and Ni). The two adjacent forests have a diverse endemic flora and share a relatively high proportion of species (35%–42%). The tree composition differs more than the total vascular flora. Leaf element concentrations of 30 tree species that grow on both soil types, as well as the corresponding soil–plant‐available nutrients, were analyzed. Leaf element concentrations indicated N, P, K, and Ca deficiency. Despite higher plant‐available Mn concentration in ultramafic soil than volcano‐sedimentary soil, leaf Mn concentrations were significantly higher for plants growing on volcano‐sedimentary soil. Leaf Ni concentrations were higher on ultramafic soil and Al concentration was higher on volcano‐sedimentary soil. Major differences in leaf elemental concentration were for micronutrients (metals) while macronutrients varied in much lower proportion between the two soil types, suggesting a tight regulation of macronutrients compared to micronutrients.