bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immunological findings of West Caucasian bat virus in an accidental host
Authors: Castellan Martina , Zamperin Gianpiero , Foiani Greta , Zorzan Maira , Priore Maria Francesca , Drzewnioková Petra , Melchiotti Erica , Vascellari Marta , Monne Isabella , Crovella Sergio , Leopardi Stefania , De Benedictis Paola 
Published: September 2024

AbstractTheLyssavirusgenus includes seventeen neurotropic viral species which are able to cause rabies, an acute and almost invariably fatal encephalomyelitis of mammals. Rabies virus (RABV), the genus prototype, is a multi-host pathogen that undergoes multiple events of host-switching, thus occupying several geographical and ecological niches. In contrast, non-RABV lyssaviruses are mainly confined within a single natural host with rare spillover events never followed by adaptation to new accidental host species. In this scenario, unveiling the mechanisms underlying the host immune response against a virus is crucial to understand the dynamics of infection but also to predict the probability of colonization and adaptation to a new target species. Presently, the host response to lyssaviruses has only been partially explored, with the majority of data inferred from RABV infection, under the assumption that all members of the genus exhibit a similar behavior. Through our study we have investigated the immune response determined by the West Caucasian bat virus (WCBV). Indeed, WCBV has been recently associated with a spillover event to a domestic cat, raising concern about the risks for public health due to the circulation of the virus in its natural host. We selected the Syrian hamster as an animal model representative for an accidental host, and chose the intramuscular route in order to mimic the natural route of infection. In hamsters, WCBV was highly pathogenic, determining 100% lethality and mild encephalitis. In comparison with Duvenhage virus (DUVV) and RABV, we found that WCBV displayed an intermediate ability to promote cellular antiviral response, produce pro-inflammatory cytokines, recruit and activate lymphocytes in the hamsters’ central nervous system.Author SummaryViruses belonging to the genus Lyssavirus cause rabies, a zoonotic and almost invariably fatal encephalomyelitis. However, not all lyssaviruses behave in the same way, with Rabies virus (RABV) being a multi-host pathogen and non-RABV ones remaining mostly confined to their natural hosts. Host-pathogen interaction might help to elucidate the mechanisms behind the differences observed among lyssaviruses in terms of disease dynamics and ability to cross the species barrier, adapting to novel hosts. In our study, we have investigated the host immune response triggered by the WCBV strain spilled-over from its host (the bent-winged bat) to a domestic cat in 2020. Our study offers a key to understand and generalize the mechanisms underlying lyssavirus spillover and pathogenicity in accidental hosts. More generally, our work confirms and marshals previous, fragmentary evidence indicating a strong and inverse relationship between lyssavirus pathogenicity and immune response induction.
Caves as species pumps: key innovations, isolation, and periodic introgression drive the world’s largest cavefish radiation in a dynamic karstic landscape
Authors: Mao Tingru , Liu Yewei , Vasconcellos Mariana M. , Zhou Shipeng , Ellepola Gajaba , Yang Jian , Pie Marcio R. , Meegaskumbura Madhava 
Published: September 2024

AbstractSpecies diversification is shaped by intricate interactions among biotic drivers, including gene flow, hybridization, and key innovations, and abiotic drivers, such as historical climate change, geological events, and ecological opportunity. However, the relative contributions of these drivers in large radiations remain poorly understood. We investigate the interplay among these factors in the diversification ofSinocyclocheilus, a cavefish radiation comprising 79 species.Sinocyclocheilusinclude typical surface-dwelling forms, with well-developed eyes and pigmentation, to cave-dwelling forms with regressed eyes, reduced pigmentation, and the presence of a horn and a hump. Using reduced representation genomic data (RADseq), we show extensive gene flow events across different species, with introgression playing a key role compared to incomplete lineage sorting in creating phylogenetic discordance and contributing genetic variation for cave adaptation and diversification in this group. Key traits such as eye degeneration, reduced pigmentation, and horn evolved independently multiple times, as adaptations for effectively exploiting cave environments. Furthermore, the uplift of the Tibetan plateau and the late Miocene cooling also significantly impacted speciation rates. Demographic analyses suggest population expansions during the Gonghe Movement and stability during the Last Glacial Maximum, possibly due to cave refugia. Periodic events of introgression promoted by isolation and reconnections due to the changing climate and geological activity, combined with the repeated evolution of key cave-adapted traits, are the primary drivers of this radiation. Our findings underscore the complex interplay of biotic and abiotic factors in the evolution ofSinocyclocheilusfish, offering new insights into the mechanisms of cave adaptation and diversification.
A flavin-based extracellular electron transfer strategy in a novel gram-positive microbeMicrobacterium deferresp. nov. strain A1-JK, isolated from cable bacteria enrichments
Authors: Lustermans Jamie J.M. , Basu Naja , Aiyer Kartik 
Published: September 2024

AbstractMicrobacteriaceaeare a class of metabolically versatile gram-positive bacteria found in diverse environments. In sediments populated with filamentous cable bacteria, electric interspecies interactions between microbes and cable bacteria have been suggested. A novel, gram-positive bacterium,Microbacterium deferrestrain A1-JK was isolated from the vicinity of a cable bacterium filament, capable of extracellular electron transfer (EET) to Fe(III) oxides and electrodes. Electrochemical experiments with pure cultures ofM.deferreA1-JK in three-electrode cells revealed the presence of soluble mediators diffusing through the cell wall, identified through HPLC analysis as flavins. Genomic analyses further uncovered the complete riboflavin synthesis pathway, with heightened flavin production observed under oxygen-limited conditions to facilitate EET.M. deferreA1-JK encodes the periplasmic cytochrome FccA, responsible for transferring electrons on flavin carriers.M. deferreA1-JK exhibited a fast switch from aerobic metabolism to EET-based metabolism, aside from demonstrating weak electroactivity in alkaline (pH 8-10) and saline (4% NaCl) conditions. These results underscore its adaptability to use EET as an efficient survival strategy to deal with rapidly fluctuating sediment environments. These results hold promise for elucidating metabolic dynamics at oxic-anoxic interfaces along with further understanding of biogeochemical cycling in sediments.
RoCi - A Single Step Multi-Copy Integration System Based on Rolling-Circle Replication
Authors: Antsotegi-Uskola Martzel , D’Ambrosio Vasil , Jarczynska Zofia Dorota , Vanegas Katherina García , Morera-Gómez Martí , Wang Xinhui , Larsen Thomas Ostenfeld , Mouillon Jean-Marie , Mortensen Uffe Hasbro 
Published: September 2024

AbstractFungi are often used as cell factories for homologous and heterologous production of enzymes and metabolites. One strategy to obtain high yielding strains is to enhance the expression level of the gene(s) responsible for production of the product by inserting multiple copies of the gene-expression cassette. Typically, this is achieved by transforming non-homologous end-joining proficient strains with large amounts of a DNA vector, which randomly integrates in multiple copies at different loci, or more often, into a single locus with copies arranged as mixed orientation repeats. The majority of strains produced in this manner are unstable and substantial screening is necessary to identify strains with high and stable production. Moreover, the randomness of the insertion processes makes it difficult to determine how and where the copies are positioned in the genome. To this end, we envisioned that the instability of gene clusters made by the classical method is mostly due to the presence of a mixture of directly and inverted repeats. In such clusters, hairpins formed by inverted repeats may cause frequent recombinogenic lesions during replication to induce gene-expression cassette copy-loss by direct-repeat recombination. It is therefore possible that strains with gene-expression cassette clusters made solely by direct repeats would be more stable. UsingAspergillus nidulansas a model, we tested this idea and developed RoCi, a simple and efficient method to facilitate integration of multiple directly repeated gene-expression cassettes into a defined genomic locus through rolling-circle replication without pre-engineering requirements for strain preparation. In addition, we demonstrate that RoCi can be performed withoutE. colibased cloning, making it compatible with medium-high throughput experiments. Analyzing strains produced by RoCi, we have constructed strains bearing up to 68mRFPGECs and we show that anmRFPmulti-copy gene-array supports high and stable mRFP production for at least ∼150 generations on solid medium. In liquid culture we observed a minor average copy loss at 1 L scale. This loss could be eliminated by extending the gene-expression cassette with a crippled selection marker. To demonstrate the strength of the method, we used it to produce stable and high yielding cell factories for production of the specialized metabolite cordycepin on solid medium and of the enzyme β-glucuronidase in submerged culture. Finally, we show that RoCi can also be applied in the industrial workhorsesA. nigerandA. oryzaeindicating that RoCi is generally applicable in fungi.
Constraining
CP
Violating Nucleon-Nucleon Long-Range Interactions in Diatomic eEDM Searches
Authors: Baruch Chaja , Changala P. Bryan , Shagam Yuval , Soreq Yotam 
Published: September 2024

The searches for CP violating effects in diatomic molecules, such as HfF+ and ThO, are typically interpreted as a probe of the electron’s electric dipole moment (eEDM), a new electron-nucleon interaction, and a new electron-electron interaction. However, in the case of a nonvanishing nuclear spin, a new CP violating nucleon-nucleon long-range force will also affect the measurement, providing a new interpretation of the eEDM experimental results. Here, we use the HfF+ eEDM search and derive a new bound on this hypothetical interaction, which is the most stringent from terrestrial experiments in the 1 eV–10 keV mass range. These multiple new physics sources motivate independent searches in different molecular species for CP violation at low energy that result in model independent bounds, which are insensitive to cancellation among them.

Published by the American Physical Society
2024
Deposition of highly crystalline AlScN thin films using synchronized high-power impulse magnetron sputtering: From combinatorial screening to piezoelectric devices
Authors: Patidar Jyotish , Thorwarth Kerstin , Schmitz-Kempen Thorsten , Kessels Roland , Siol Sebastian 
Published: September 2024

With the integration of 5G in day-to-day devices and the foreseeable 6G revolution, demand for advanced radio frequency (RF) microelectromechanical systems (MEMS) is growing. Aluminum scandium nitride (AlScN) has emerged as the material of choice for many of those applications due to its superior piezoelectric and electromechanical properties compared to aluminum nitride (AlN). However, synthesizing high-quality, textured AlScN thin films is challenging. Alloying of Sc in AlN induces structural frustration leading to strain, defects, disoriented grains, and disrupted crystal symmetry during growth. Higher deposition temperatures, while improving crystalline quality, risk undesirable phase precipitation and limit industrial sustainability. In addition, future MEMS technologies also demand conformal and textured coatings over diverse topographies. Addressing these challenges collectively requires new and innovative synthesis approaches. In this study, we investigate the feasibility of ionized physical vapor deposition to deposit highly oriented AlScN films with minimal defects at lower temperatures. To this end, we employ combinations of different deposition approaches, such as metal-ion synchronized (MIS) high-power impulse magnetron sputtering (HiPIMS). Leveraging the high ionization rates of HiPIMS and optimally timed substrate bias potentials, we selectively bombard the growing film with Al and/or Sc ions to enhance the adatom mobility at low temperatures while simultaneously providing the ability to tune stress and coat complex structures conformally. The nonequilibrium solubility of Sc in wurtzite AlN under different conditions is investigated using a combinatorial deposition approach. Promising candidates with ∼20% Sc composition are isolated and characterized for crystallinity and residual stress. Disoriented grains, a significant issue in growing AlScN films, are observed through atomic force microscopy and found to be completely removed by substrate rotation and application of substrate biasing. The measured piezoelectric response of the films with approximately 20% Sc concentration ranges from 6.3 to 8.8 pm/V, in line with density functional theory predictions and experimentally reported values for films deposited in a production tool with coplanar geometry. At the same time, MIS-HiPIMS-deposited films offer unique properties and flexibility to tune their stress state and structural properties, thus presenting exciting opportunities for the fabrication of advanced RF filters and next-generation MEMS devices.

Published by the American Physical Society
2024
Quasi-boson approximation yields accurate correlation energy in the 2D electron gas
Authors: Wolf Tobias M. R. , Huang Chunli 
Published: September 2024

We report the successful adaptation of the quasi-boson approximation, a technique traditionally employed in nuclear physics, to the analysis of the two-dimensional electron gas. We show that the correlation energy estimated from this approximation agrees closely with the results obtained from quantum Monte Carlo simulations. Our methodology comprehensively incorporates the exchange self-energy, direct scattering, and exchange scattering for a particle-hole pair excited out of the mean-field ground state within the equation-of-motion framework. The linearization of the equation of motion leads to a generalized random phase approximation (gRPA) eigenvalue equation whose spectrum indicates that the plasmon dispersion remains unaffected by exchange effects, while the particle-hole continuum experiences a marked upward shift due to the exchange self-energy. Using the gRPA excitation spectrum, we calculate the zero-point energy of the quasi-boson Hamiltonian, thereby approximating the correlation energy of the original Hamiltonian. This research highlights the potential and effectiveness of applying the quasi-boson approximation to the gRPA spectrum, a fundamental technique in nuclear physics, to extended condensed matter systems.

Published by the American Physical Society
2024
Big data analytics adoption success: value chain process-level perspective
Authors: El-Haddadeh Ramzi , Fadlalla Adam , Hindi Nitham M. 
Published: September 2024

PurposeDespite the considerable hype about how Big Data Analytics (BDA) can transform businesses and advance their capabilities, recognising its strategic value through successful adoption is yet to be appreciated. The purpose of this paper is to focus on the process-level value-chain realisation of BDA adoption between SMEs and large organisations.Design/methodology/approachResource-based theory offered the lens for developing a conceptual BDA process-level value chain adoption model. A combined two-staged regression-artificial neural network approach has been utilised for 369 small, medium (SMEs) and large organisations to verify their critical value chain process-level drivers for successful organisational adoption of BDA.FindingsThe findings revealed that organisational BDA adoption success is driven predominantly by product—and service-process-level value, with distinctive discrepancies dependent on the organisation’s size. Large organisations primarily embrace BDA for their external value chain dimensions, while SMEs encompass its internal value chain cues. As such, businesses will be advised to acknowledge their organisational dynamics and precise size to develop the right strategies to adopt BDA successfully.Research limitations/implicationsThe study advances the understanding of the role of internal and external value chain drivers in influencing how BDA can be successfully adopted in SMEs and large organisations. Thus, appreciating the organisation’s unique attributes, including its size, will need to be carefully examined. By investigating these elements, this research has shed new light on how developing such innovative capabilities and competencies must be carefully crafted to help create a sustainable competitive advantage.Practical implicationsFor an organisational positioning, acknowledging the role of internal and external value chain drivers is critical for implementing the right strategies for adopting BDA. For larger businesses, resources for innovation often can be widely available compared to SMEs. As such, they can manage their costs and associated risks resourcefully. By considering the identified value-chain-related adoption success factors, businesses should be better positioned to assess their competencies while being prepared to adopt BDA.Originality/valueThe study offers the research and business community empirical-based insights into the strategies needed to successfully adopt big data in an organisation from a process-level value chain perspective.
Identifying the parameters of ultracapacitors based on variable forgetting factor recursive least square
Authors: Zhang Bo , Chen Xi , You Hanwen , Jin Hong , Peng Hongxiang 
Published: September 2024

Purpose
Ultracapacitors find extensive applications in various fields because of their high energy density and long cycling periods. However, due to the movement of ions and the arrangement patterns on rough/irregular electrode surfaces during the charge and discharge process of ultracapacitors, the parameters of ultracapacitors usually change with the variation of operating conditions. The purpose of this study is to accurately and quickly identify the parameters of ultracapacitors.

Design/methodology/approach
A variable forgetting factor recursive least square (VFFRLS) algorithm is proposed in this paper for online identifying the equivalent series resistance and capacitance C of ultracapacitors. In this work, a real-time error-based strategy is developed to adaptively regulate the value of the forgetting factor of traditional forgetting factor recursive least square (FFRLS) algorithm. The strategy uses the square of the average time autocorrelation estimation of the prior error and the posterior error between the predicted output and the actual output as the adjustment basis of forgetting factors.

Findings
Experiments were conducted using the proposed scheme, and the results were compared with the estimation results obtained by the recursive least squares (RLS) algorithm and the traditional FFRLS algorithm. The maximum root mean square error between the estimated values and actual values for VFFRLS is 3.63%, whereas for FFRLS it is 9.61%, and for RLS it is 19.33%.

Originality/value
By using the proposed VFFRLS algorithm, a relatively high precision can be achieved for the online parameter estimation of ultracapacitors. Besides, the dynamic balance between parameter stability and tracking performance can be validated by dynamically adjusting the forgetting factor.
Metaverse technologies in hospitality: using the theory of consumption values to reveal consumer attitudes and trust factors
Authors: Chakraborty Debarun , Mehta Prashant , Khorana Sangeeta 
Published: September 2024

PurposeThis study aims to apply the theory of consumption value to analyze the utilization of Metaverse technologies within hospitality and tourism while examining the factors that impact consumer intentions to use the Metaverse.Design/methodology/approachThis paper aims to consider an extensive study spanning the period October 2021 to March 2023 was conducted to understand the shifts in an individual's intention to use Metaverse technologies in hospitality.FindingsThe findings of this study confirm that individual attitudes to the Metaverse and trust in Metaverse technologies significantly impact their intention to use the Metaverse.Practical implicationsThe study aims to provide fresh insights into how individuals perceive Metaverse technologies in the context of choosing hotels and resorts, which enriches the understanding of consumer behaviors around Metaverse technology in hospitality.Originality/valueThis study aims to consider not only tourist intentions to use the Metaverse but also how diverse consumption values impact user attitudes, an area currently underresearched.
Quantifying the relationship between US residential mobility and fire service call volume
Authors: Franqueville Juliette I. , Scott James G. , Ezekoye Ofodike A. 
Published: September 2024

PurposeThe COVID-19 pandemic dramatically affected the fire service: stay-at-home orders and potential exposure hazards disrupted standard fire service operations and incident patterns. The ability to predict incident volume during such disruptions is crucial for dynamic and efficient staff allocation planning. This work proposes a model to quantify the relationship between the increase in “residential mobility” (i.e. time spent at home) due to COVID-19 and fire and emergency medical services (EMS) call volume at the onset of the pandemic (February – May 2020). Understanding this relationship is beneficial should mobility disruptions of this scale occur again.Design/methodology/approachThe analysis was run on 56 fire departments that subscribe to the National Fire Operations Reporting System (NFORS). This platform enables fire departments to report and visualize operational data. The model consists of a Bayesian hierarchical model. Text comments reported by first responders were also analyzed to provide additional context for the types of incidents that drive the model’s results.FindingsOverall, a 1% increase in residential mobility (i.e. time spent at home) was associated with a 1.43% and 0.46% drop in EMS and fire call volume, respectively. Around 89% and 21% of departments had a significant decrease in EMS and fire call volume, respectively, as time spent at home increased.Originality/valueA few papers have investigated the impact of COVID-19 on fire incidents in a few locations, but none have covered an extensive number of fire departments. Additionally, no studies have investigated the relationship between mobility and fire department call volumes.