bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short 5’ UTRs serve as a marker for viral mRNA translation inhibition by the IFIT2-IFIT3 antiviral complex
Authors: Glasner Dustin R. , Todd Candace , Cook Brian , D’Urso Agustina , Khosla Shivani , Estrada Elena , Wagner Jaxon D. , Bartels Mason D. , Ford Pierce , Prych Jordan , Hatch Katie , Yee Brian A. , Ego Kaori M. , Liang Qishan , Holland Sarah R. , Case James Brett , Corbett Kevin D. , Diamond Michael S. , Yeo Gene W. , Herzik Mark A. , Van Nostrand Eric L. , Daugherty Matthew D. 
Published: February 2025

ABSTRACTRecognition of “non-self” nucleic acids, including cytoplasmic dsDNA, dsRNA, or mRNAs lacking proper 5’ cap structures, is critical for the innate immune response to viruses. Here, we demonstrate that short 5’ untranslated regions (UTRs), a characteristic of many viral mRNAs, can also serve as a molecular pattern for innate immune recognition via the interferon-induced proteins IFIT2 and IFIT3. The IFIT2-IFIT3 heterodimer, formed through an intricate domain swap structure resolved by cryo-EM, mediates viral mRNA 5’ end recognition, translation inhibition, and ultimately antiviral activity. Critically, 5’ UTR lengths <50 nucleotides are necessary and sufficient to sensitize an mRNA to translation inhibition by the IFIT2-IFIT3 complex. Accordingly, diverse viruses whose mRNAs contain short 5’ UTRs, such as vesicular stomatitis virus and parainfluenza virus 3, are sensitive to IFIT2-IFIT3-mediated antiviral activity. Our work thus reveals a pattern of antiviral nucleic acid immune recognition that takes advantage of the inherent constraints on viral genome size.
Mapping Anhedonia-Related Damage Network: Insights for TMS Treatment
Authors: Chen Chengfeng , Wang Shiying , Liu Yuan , Zhang Xuezhen , Rong Xinyan , Wang Jiang , Wang Jijun , Sun Ling , Zhang Bin 
Published: February 2025

ABSTRACTBackgroundMany studies have explored anhedonia-related functional connectivity (FC), but the findings remain inconsistent. There is a gap in identifying a consistent anhedonia-related damage network and applying it to TMS treatment.MethodsWe systematically reviewed studies on anhedonia-related functional connectivity and identified anhedonia-related brain damage locations. Using a novel functional connectivity network mapping approach applied to a large normative connectome dataset, we mapped these damage locations to anhedonia-related damage networks. Subsequently, transcriptomic analysis was conducted to uncover underlying molecular mechanisms. Additionally, we investigated the application of the anhedonia-related damage network in transcranial magnetic stimulation (TMS) treatment, focusing on changes in FC within this network following TMS treatment and its association with anhedonia improvement, as well as predicting TMS treatment efficacy based on baseline FC within the anhedonia-related damage network.ResultsA total of eight experiments from seven studies using the nucleus accumbens (NAc) as the seed were eligible for functional connectivity network mapping analysis. This study identified an anhedonia-related damage network, primarily characterized by disrupted functional connectivity between the NAc and the default mode network. Transcriptomic analysis revealed gene enrichment associated with synaptic signaling, neuronal development, ion transport, and actin cytoskeleton regulation. TMS treatment increased NAc functional connectivity within the anhedonia-related damage network in the response group, with these changes correlating with improvements in anhedonia. Furthermore, baseline NAc FC within this network demonstrated predictive potential for TMS treatment efficacy.ConclusionThe anhedonia-related damage network was identified, emphasizing its underlying mechanisms and predictive value for TMS in treating anhedonia.
Elimination of separase inhibition reveals absence of cohesin protection in oocyte metaphase II
Authors: Jailani Safia El , Cladière Damien , Nikalayevich Elvira , Touati Sandra A. , Chesnokova Vera , Melmed Shlomo , Buffin Eulalie , Wassmann Katja 
Published: February 2025

AbstractThe meiotic segregation pattern to generate haploid gametes is mediated by step-wise cohesion removal by separase, first from chromosome arms in meiosis I, and then from the centromere region in meiosis II. In mammalian oocytes, separase is tightly controlled during the hours-long prometaphase and until chromosome segregation in meiosis I, activated for a short time window, and again inhibited until metaphase II arrest is lifted by fertilization. Centromeric cohesin is protected from cleavage by Sgo2-PP2A in meiosis I. It remained enigmatic how tight control of alternating separase activation and inactivation is achieved during the two divisions in oocytes. It was equally unknown when cohesin protection is put in place and removed. Using structure-function assays in knock-out mouse models we established the contributions of cyclin B1 and securin for separase inhibition during both divisions. When eliminating separase inhibition we found that cohesin is not protected early in meiosis I and at metaphase II arrest. Importantly, in meiosis II, the sole event required for cleavage of centromeric cohesin besides separase activation is prior kinetochore individualization in meiosis I.
Centrosome-assisted assembly of the Balbiani body
Authors:   Divyanshi, Li Meining , Böke Elvan , Yang Jing 
Published: February 2025

AbstractThe Balbiani body (Bb), which was discovered about 170 years ago, is a membraneless organelle in the oocyte in most species. In organisms likeXenopusand Zebrafish, Bb accumulates mitochondria, endoplasmic reticulum (ER), and germline determinants and regulates the proper localization of germline determinants. The Bb forms around the centrosome in the oocyte during early oogenesis. The mechanism behind its assembly has gained attention only very recently. Here, we report that overexpression of the germ plasm matrix protein Xvelo leads to the formation of a ‘Bb-like’ structure in somatic cells. The ‘Bb-like’ structure assembles around the centrosome and selectively recruits mitochondria, ER, and germline determinants. Taking advantage of this system, we investigated the roles of centrosome components on the assembly of Xvelo. Our results reveal that multiple components of the centrosome, including Sas6, Cenexin, and DZIP1, interact with Xvelo and promote its assembly, with Sas6 exhibiting the most prominent activity. Importantly, knocking down Sas6, Cenexin, and DZIP1 individually or in combination resulted in reduced Xvelo aggregates. Taken together, our work suggests that the centrosome may function as a nucleation center to promote the initiation of Xvelo assembly, resulting in the formation of the Bb around the centrosome.
Incorporation of complex narratives into dreaming
Authors: Palmieri Jessica , Kumral Deniz , Wymer Sammy-Jo , Kirchner Susanne , Schneider Maximilian , Gais Steffen , Schönauer Monika 
Published: February 2025

SummaryReactivation of waking neuronal activity during sleep holds a functional role in memory consolidation. Reprocessing of daytime memory in dreams might aid later memory performance in a similar way. Numerous findings hint at a link between dreaming and sleep-dependent memory processing, however, studies investigating day-residue incorporation in dreaming led to mixed results so far. In this study, we used a naturalistic learning paradigm aimed at biasing dream content by manipulating pre-sleep experience. Participants listened to one of four different audiobooks while falling asleep and were awoken several times during the night to report their dreams. Afterwards, we tested how well they remembered the content of the audiobook. We then asked three blind raters to guess, based solely on anonymized dream reports, which audiobook someone had listened to before experiencing a dream. Our findings show that dreams across the whole night and from both NREM and REM awakenings contain specific information about the content of narratives studied before sleep. Moreover, if participants dreamt of the audiobook, they retained the content better across the sleep period. Finally, memory performance was lower when the experimental situation was incorporated into dreams, regardless of the presence of audiobook content, suggesting competitive reprocessing between audiobook and experimental memory representations.
Retro Nasal blockade reduces the Neural Processing of Sucrose in the Human Brain
Authors: Ko Hee-kyoung , Shi Jingang , Eidenberger Thomas , Shi Weiyao , McCabe Ciara 
Published: February 2025

AbstractTraditionally, taste perception is understood to occur through taste receptors located in the oral cavity, particularly on the tongue. Recent findings suggest that taste compounds, when aerosolized, can reach the retro nasal olfactory region and be perceived. However, the neural mechanisms by which the human brain interprets taste stimuli via retro nasal pathways remain unclear.Healthy adults (N=34, Mean age 25 yrs.) were recruited. We examined neural activity during the tasting of sucrose with a nose clip on (to block retro nasal sensation) compared to when there was no nose clip. We examined whole brain data and ROIs involved in taste (insula, postcentral gyrus, amygdala), smell (olfactory cortex, piriform cortex) odour attention (sgACC) and multi-modal flavour processing (OFC) and reward (pgACC and nucleus accumbens). We also examined subjective ratings of pleasantness and fullness of the sucrose with and without the nose clip.We found that the nose clip condition reduced neural activity in primary taste and olfaction regions and regions involved in attention to odours, and food reward. When examining the whole brain activity, we also found reduced activity in the rolandic operculum, lingual gyrus and precuneus. The olfactory cortex and prefrontal cortex ROIs tracked the sucrose subjective fullness ratings, but this effect was not present with the nose clip on.In conclusion, our findings are the first to demonstrate that blocking retro nasal sensation with a nose clip significantly reduces the subjective and objective neural responses to sucrose taste. These findings support the idea that retro nasal sensations could play a role in the perception of sucrose taste. This study suggests that developing more satisfying low-sugar foods could be achieved by enhancing the perception of sweetness through aroma modulation.
Mechanism of Nanomaterial-Induced Lipid Droplet Formation inRaphidocelis subcapitatais Mediated by Charge Properties
Authors: McKeel Emma , Kim Hye-In , Jeon Su-ji , McKinnon Britta , Giraldo Juan Pablo , Klaper Rebecca 
Published: February 2025

AbstractIncreasing the production of renewable energy will be critical to achieving global sustainability goals in the coming decades. Biofuels derived from microalgae have great potential to contribute to this production. However, cultivating algae with sufficient neutral lipid content, while maintaining high growth rates, is a continual challenge in making algal-derived biofuels a reality. Previous work has shown that exposure to polymer-functionalized carbon dots can increase the lipid content of the microalgaeRaphidocelis subcapitata. This study investigates this finding, aiming to determine the mechanisms underlying this effect and if altering nanoparticle surface charge mediates the mechanism of action of the carbon dots used. Carbon dots with both negative and positive surface charges were added to microalgal cultures, and the impacts of this exposure were analyzed using high-content imaging, growth measurements, and chlorophyll content measurements. Results indicate that positively charged carbon dots induce a nano-specific increase in lipid content but also cause decreases in growth. Additionally, the mechanism of action of each nanoparticle was examined by conducting a morphological comparison to known treatments. This analysis showed that negatively charged carbon dots cause similar impacts toR. subcapitataas nitrogen deprivation, a known mechanism by which lipid droplet content can be increased. The findings of this study suggest that carbon dots may have surface charge dependent effects on the lipid metabolism ofR. subcapitata. Future work should consider the use of carbon dots with varied surface charge densities for enhancing algae biofuel production in bioreactors.
High-throughput Single-Virion DNA-PAINT Reveals Structural Diversity, Cooperativity and Flexibility during Selective Packaging in Influenza
Authors: Hepp Christof , Zhao Qing , Robb Nicole , Fodor Ervin , Kapanidis Achillefs N. 
Published: February 2025

ABSTRACTInfluenza A, a negative-sense RNA virus, has a genome that consists of eight single-stranded RNA segments. Influenza co-infections can result in re-assortant viruses that contain gene segments from multiple strains, causing pandemic outbreaks with severe consequences for human health. The outcome of re-assortment is likely influenced by a selective sequence-specific genome packaging mechanism.To uncover the contributions of individual segment pairings to selective packaging, we set out to statistically analyse packaging defects and inter-segment distances in individual A/Puerto Rico/8/34 (H1N1) (PR8) virus particles. To enable such analysis, we developed a multiplexed DNA-PAINT approach capable of assessing the segment stoichiometry of more than 10,000 individual virus particles in one experiment; our approach can also spatially resolve the individual segments inside complete virus particles with a localisation precision of ~10 nm.Our results show the influenza genome can be assembled through multiple pathways in a redundant and cooperative process guided by preferentially interacting segment pairs and aided by synergistic effects that enhance genome assembly, driving it to completion. Our structural evidence indicates that the interaction strength of segment pairs affects the spatial configuration of the gene segments, which appears to be preserved in mature virions. As our method quantified the interactions of whole influenza segments instead of identifying individual sequence-based interactions, our results can serve as a template to quantify the contributions of individual sequence motifs to selective packaging.
Atoms as Electron Accelerators for Measuring the Cross Section of
e+e−→Hadrons
Authors: Arias-Aragón Fernando , Darmé Luc , Grilli di Cortona Giovanni , Nardi Enrico 
Published: February 2025

The hadronic vacuum polarization contribution to (g−2)μ can be determined via dispersive methods from e+e−→hadrons data. We propose a novel approach to measure the hadronic cross section σhad(s) as an alternative to the initial-state radiation and energy scan techniques, which relies on positron annihilation off atomic electrons of a high Z target (U238, Z=92). We show that by leveraging the relativistic electron velocities of the inner atomic shells, a high-intensity 12 GeV positron beam, such as the one foreseen at JLab, can allow measuring σhad(s) with high statistical accuracy from the two-pion threshold up to above s∼1  GeV.

Published by the American Physical Society
2025
Flow through porous media at the percolation transition
Authors: Residori Mirko , Mandal Suvendu , Voigt Axel , Kurzthaler Christina 
Published: February 2025

We study low-Reynolds-number fluid flow through a two-dimensional porous medium modeled as a Lorentz gas. Using extensive finite-element simulations we fully resolve the flow fields for packing fractions approaching the percolation threshold. Near the percolation transition, we find a power-law scaling of the flow rate versus the packing fraction with an exponent of ≈5/2, which was predicted earlier by mapping the macroscopic flow to a discrete flow network [B. I. Halperin , ]. Importantly, we observe a rounding of the scaling behavior at small system sizes, which can be rationalized via a finite-size scaling ansatz. Finally, we show that the distribution of the kinetic energy exhibits a power-law scaling over several decades at small energies, originating from collections of self-similar, viscous eddies in the dead-end channels. Our results lay the foundation for unraveling critical behavior of complex fluids omnipresent in biological and geophysical systems.

Published by the American Physical Society
2025
AI-driven HR transformation in Chinese automotive industry: strategies and implications
Authors: Khushk Amir , Zhiying Liu , Yi Xu , Aman Nasir 
Published: February 2025

PurposeHuman resources transformation is an essential concept that significantly changes how organizations manage their personnel in an ever-changing business environment. This research intends to explore the potential of artificial intelligence (AI) technologies to facilitate human resource (HR) transformation in automobile companies in China.Design/methodology/approachThe research employs qualitative approaches such as interviews and case studies to gain insights and viewpoints from key stakeholders. The interviews were semi-structured and carried out in person, enabling an in-depth investigation of their experiences and perspectives. The duration of each interview ranged from 30 to 40 minutes.FindingsThe study explored three main themes: employee acceptability, career growth and performance, using system thinking theory. The findings highlight the various effects of AI technology on HR changes in automobile businesses. First, AI helps increase employee approval by simplifying activities and improving user experience. Second, it greatly impacts professional advancement by providing tailored learning and skill-building chances. Third, AI integration has a favorable effect on organizational performance indicators such as efficiency, agility and adaptability.Practical implicationsThis research's findings significantly contribute to scholars and practitioners engaged in HR reforms. Comprehending the subtle impacts of AI technology on employee acceptability, career advancement and organizational effectiveness helps guide strategic decision-making. Furthermore, these results emphasize the need to connect AI-based HR initiatives with overall corporate goals to enhance impact and efficiencyOriginality/valueThis research provides new insights into how AI technologies interface with HR transformation. The study offers a thorough understanding of intricate dynamics and identifies new possibilities for using AI in HR practices via system thinking theory. The research enhances academic discussion on HR transformation in the age of AI-driven innovation.
Determination of urban land value: a systematic literature review
Authors: Zhou Peng , Gai Yue , Wang Chaowei 
Published: February 2025

PurposeThis study conducts a systematic literature review on the determination of urban land value to offer a comprehensive understanding of the methods, datasets, themes and factors of land value. The study aims to identify research gaps and suggest directions for future research in urban land value.Design/methodology/approachThe study adopts the systematic literature review (SLR) approach to synthesize the literature on urban land value. The SLR is structured according to a three-stage protocol, involving planning, conducting and reporting to ensure transparency and reproducibility. Quantitative bibliometric analysis and qualitative hierarchical thematic analysis are used to assess the evolution of research and to identify key themes and factors.FindingsThe study reveals an unbalanced research focus on developed economies and residential land in urban land value literature. A hierarchical framework categorizes 644 factors into 25 subthemes and 8 themes across physical dimensions (e.g. land attributes and structure attributes) and market dimensions (e.g. land market and macroeconomic conditions). Two primary estimation methods – regression and residual – are identified, each suitable based on data availability. The literature’s evolution is driven by advances in empirical methods. An extensive catalog of databases is compiled, and a corresponding menu of methods is discussed with a focus on empirical identification strategies.Research limitations/implicationsThe study is limited by the focus on urban land value and the exclusion of agricultural, recreational and transportation land. Future research should expand to other land types and integrate new data sources and advanced methodologies such as machine learning to enhance empirical robustness.Practical implicationsThe systematic review provides a foundation for practical applications and policy discussions on land value estimation and taxation. It offers a useful catalog of land value databases and a menu of land evaluation methods. They are useful for real estate businesses to perform accurate land evaluations and investment appraisals. They can also assist governments in determining precise land value for tax assessments and public policy formulation.Originality/valueThis paper is among the first to apply the SLR approach to urban land value – the price of an essential asset owned by households, businesses and governments. A key contribution is the identification of two distinct evolution patterns of literature: a “pine tree” pattern, showing linear, accumulative growth using homogeneous methodologies (e.g. regression methods) and a “palm tree” pattern, where diverse methods (e.g. residual methods) form independent branches. This analysis provides a new perspective on how methodological homogeneity influences the structure of research themes, offering insights into the dynamics of knowledge development in the field and in general.
How can DeFi improve the quality, affordability, access and usage of financial services? A systematic literature review
Authors: Vasishta Prihana , Dhiman Ankita , Smith Shagun , Singla Anju 
Published: February 2025

PurposeThis study systematically reviews the role of decentralized finance (DeFi) in enhancing the quality, affordability, access and usage of financial services, specifically targeting underserved populations. The aim is to investigate DeFi’s potential in addressing financial exclusion and promoting global financial inclusion.Design/methodology/approachA systematic literature review was conducted, analyzing 67 peer-reviewed articles. The review focused on extracting actionable insights and recommendations regarding DeFi’s impact on financial inclusion.FindingsThe study reveals that DeFi, through the utilization of blockchain technology, can significantly improve accessibility, affordability and usability of financial services. By eliminating intermediaries and reducing entry barriers, DeFi platforms democratize finance and support financial inclusion on a global scale. The research identifies specific mechanisms through which DeFi can enhance financial services for marginalized communities, including decentralized lending, digital wallets and blockchain-based remittances.Research limitations/implicationsThe study is constrained by the current literature and data availability on DeFi’s impact on financial inclusion. Future research should explore the scalability, sustainability and long-term effects of DeFi solutions in diverse contexts.Originality/valueThis research uniquely contributes to the literature by examining the intersection of DeFi and financial inclusion, providing innovative approaches to overcoming financial exclusion. The study highlights DeFi’s potential to transform financial services and empower underserved populations economically.