bluuebunny/crossref_metadata_2025_split huggingface dataset:
CO-EXPRESSION OF DISTINCT COILED COILS CAN LEAD TO THEIR ENTANGLEMENT
Authors: Mizgier Nikola A. , Jones Charlie E. , Furano Anthony V. 
Published: May 2023

ABSTRACTL1 (LINE1) non-LTR retrotransposons are ubiquitous genomic parasites and the dominant transposable element in humans having generated about 40% of their genomic DNA during their ∼100 million years (Myr) of activity in primates. L1 replicates in early embryos, causing genetic diversity and defects, but can be active in some somatic stem cells, tumors and during aging. L1 encodes two proteins essential for retrotransposition: ORF2, a replicase, and ORF1, a coiled coil mediated homo trimer, which functions as a nucleic acid chaperone. Both proteins contain highly conserved domains and preferentially bind their encoding transcript to form an L1 ribonucleoprotein (RNP), which mediates retrotransposition. However, the coiled coil has undergone episodes of substantial amino acid replacement to the extent that a given L1 family can concurrently express multiple ORF1s that differ in the sequence of their coiled coils. Here we show that such distinct ORF1p sequences can become entangled forming heterotrimers when co-expressed from separate vectors.
Identification of Novel Scaffold Proteins for Improved Endogenous Engineering of Extracellular Vesicles
Authors: Zheng Wenyi , Rädler Julia , Sork Helena , Niu Zheyu , Roudi Samantha , Bost Jeremy , Görgens André , Zhao Ying , Mamand Doste , Liang Xiuming , Wiklander Oscar , Lehto Taavi , Gupta Dhanu , Nordin Joel Z. , EL Andaloussi Samir 
Published: May 2023

ABSTRACTExtracellular vesicles (EVs) are gaining ground as next-generation drug delivery modalities. Genetic fusion of the protein of interest to a scaffold protein with high EV-sorting ability represents a robust cargo loading strategy. To address the paucity of such scaffold proteins we conducted a large-scale comparative study involving 244 candidate proteins. Their EV-sorting potential was evaluated using a simple but reliable assay that can distinguish intravesicular cargo proteins from surface and non-vesicular proteins. Notably, 24 proteins with conserved EV-sorting abilities across five types of producer cells were identified. Most of these are first to be reported including TSPAN2 and TSPAN3, which emerged as lead candidates, outperforming the well-known CD63 scaffold. Importantly, these engineered EVs show promise as delivery vehicles as demonstrated byin vitroandin vivointernalization studies with luminal cargo proteins as well as surface display of functional domains. The discovery of these novel scaffolds provides a new platform for EV-based engineering.
Precision Targeting of Na-K-2Cl cotransporter (NKCC1) RNA In Vitro with RfxCas13d
Authors: Sandoval Alfredo , Chen Bo 
Published: May 2023

AbstractThe Na-K-2Cl cotransporter (NKCC1) is considered an attractive drug target in the Central nervous system (CNS) for treating various CNS disorders. However, the specific role of NKCC1 in different types following injury within the CNS is not well understood due to its expression in multiple cell types. Additionally, there is a lack of a robust method for knocking down NKCC1 transcripts. In this study, we utilized Cas13 nucleases, a type of programmable RNA-targeting CRISPR enzyme, to effectively degrade NKCC1 mRNA in cultured cells. We developed a versatile pipeline for crRNA screening and validation in vitro and demonstrated the successful knockdown of NKCC1 using RfxCas13d. Our findings establish RfxCas13d as a powerful tool for targeting specific transcripts in vitro. By demonstrating the successful in vitro application of RfxCas13d-mediated NKCC1 RNA knockdown, we have laid the groundwork for future investigations into the therapeutic potential of NKCC1 modulation in CNS disorders.
The subjective amplitude of the diurnal rhythm matters - chronobiological insights for neuroimaging studies
Authors: Zareba Michal Rafal , Scislewska Patrycja , Fafrowicz Magdalena , Marek Tadeusz , Oginska Halszka , Szatkowska Iwona , Beldzik Ewa , Domagalik Aleksandra 
Published: May 2023

AbstractMultiple aspects of human physiology, including mood and cognition, are subjected to diurnal rhythms. While the previous neuroimaging studies have focused solely on the morningness-eveningness (ME) preference dichotomy, i.e. the circadian phase, the second key dimension of the diurnal rhythms, i.e. the strength of these preferences (amplitude; AM), has been completely overlooked. Uncovering the neural correlates of AM is especially important considering its link with negative emotionality. Structural T1-weighted neuroimaging data from 79 early (EC) and 74 late (LC) chronotypes were analysed to compare grey matter (GM) volume and cortical thickness. The study aimed to elucidate whether the subjective AM and its interaction with ME was a significant predictor of individual brain structure. Both GM volume and cortical thickness of the left primary visual cortex was negatively correlated with AM scores across the entire sample. Furthermore, EC and LC differed in their association between AM scores and the GM volume in the right middle temporal gyrus, with the positive and negative correlations reported respectively in the two groups. The current study underlines the importance of the visual system in circadian rhythmicity and provides possible neural correlates for AM-related differences in negative affect processing. Furthermore, the presence of the opposite correlations between brain anatomy and AM in the two groups suggests that the behavioural and neuronal chronotype differences might become more pronounced in individuals with extreme diurnal differences in mood and cognition, highlighting the necessity to additionally account for AM in neuroimaging studies.HighlightsStructure of primary visual cortex is linked to subjective diurnal rhythms amplitudeMiddle temporal gyrus is sensitive to interaction of rhythm phase and distinctnessDistinctness of the diurnal rhythms may modulate results of the neuroimaging studies
Temperature affects viral kinetics and vectorial capacity ofAedes aegyptimosquitoes co-infected with Mayaro and Dengue viruses
Authors: Terradas Gerard , Manzano-Alvarez Jaime , Vanalli Chiara , Werling Kristine , Cattadori Isabella M , Rasgon Jason L 
Published: May 2023

AbstractIncreasing global temperatures and unpredictable climatic extremes have contributed to the spread of vector-borne diseases. The mosquitoAedes aegyptiis the main vector of multiple arboviruses that negatively impact human health, mostly in low socioeconomic areas of the world. Co-circulation and co-infection of these viruses in humans have been increasingly reported; however, how vectors contribute to this alarming trend remains unclear. Here, we examine single and co-infection of Mayaro virus (-D strain,Alphavirus) and dengue virus (serotype 2,Flavivirus) inAe. aegyptiadults and cell lines at two constant temperatures, moderate (27°C) and hot (32°C), to quantify vector competence and the effect of temperature on infection, dissemination and transmission, including on the degree of interaction between the two viruses. Both viruses were primarily affected by temperature but there was a partial interaction with co-infection. Dengue virus quickly replicates in adult mosquitoes, with a tendency for higher titers in co-infected mosquitoes at both temperatures and mosquito mortality was more severe at higher temperatures in all conditions. For dengue, and to a lesser extent Mayaro, vector competence and vectorial capacity were higher at hotter temperature in co- vs single infections and was more evident at earlier timepoints (7 vs 14 days post infection). The temperature-dependent phenotype was confirmedin vitroby faster cellular infection and initial replication at higher temperatures for dengue but not for Mayaro virus. Our study suggests that contrasting kinetics of the two viruses could be related to their intrinsic thermal requirements, where alphaviruses thrive better at lower temperatures compared to flaviviruses, but further studies are necessary to clarify the role of co-infection at different and variable temperature regimes.Author summaryGlobal warming is having devastating consequences for the environment, and a cause of concern is the increase in local abundance and geographic range of mosquitoes and the associated viruses they transmit. This study explores how temperature affects the mosquito’s ability to survive and potentially spread two viruses, Mayaro and dengue, in single or co-infections. We found that Mayaro virus was not clearly affected by temperature or the presence of dengue infection. In contrast, dengue virus showed higher infection and potential for higher transmission in mosquitoes kept at high temperatures, and this trend was stronger in co-infections compared to single infections. Mosquito survival consistently decreased at high temperatures. We hypothesize the differences observed for dengue virus are due to the faster growth and viral activity in the mosquito at hotter temperatures, a pattern not observed for Mayaro virus. More studies under different temperature regimes are needed to clarify the role of co-infection.
High-density exploration of activity states in a multi-area brain model
Authors: Aquilué-Llorens David , Goldman Jennifer S. , Destexhe Alain 
Published: May 2023

ABSTRACTBiophysically-grounded whole-brain models were built recently using tractography data to interconnect multiple mesoscopic models, which can simulate the dynamics of neuronal populations with only a few equations. Mean-field models of neural populations, specifically the Adapting AdEx mean-field, was used for this purpose because it can integrate key biophysical mechanisms such as spike-frequency adaptation and its regulation at cellular scales, to the emergence of brain-scale dynamics. Using this approach, with the Virtual Brain (TVB) environment, it has been possible to model the macroscopic transitions between brain states, described by variation in brain-scale dynamics between asynchronous and rapid dynamics during conscious brain states, and synchronized slow-waves, with Up-and-Down state dynamics during unconscious brain states, emerging from mechanisms at the cellular level. Transitions between brain states are driven by changes in neuromodulation that can be due to intrinsic regulation during sleep-wake cycles or extrinsic factors such as anesthetics, which, in turn, affect spike-frequency adaptation. Here, we perform a dense grid parameter exploration of the TVB-AdEx model, making use of High Performance Computing, to thoroughly explore the properties of this model. We find that there is a remarkable robustness of the effect of adaptation to induce synchronized slow-wave activity. Moreover, the occurrence of slow waves is often paralleled with a closer relation between functional and structural connectivity. We find that hyperpolarization can also generate unconscious-like synchronized Up and Down states, which may be a mechanism underlying the action of anesthetics. We conclude that the parameter space of the TVB-AdEx model reveals features identified experimentally in sleep and anesthesia.
Do psycho-entrepreneurial traits and social networks matter for innovativeness among Saudi female entrepreneurs?
Authors: Jaziri Raouf , Miralam Mohammad Saleh 
Published: May 2023

PurposePsychological and entrepreneurial traits have been widely studied as explicative variables of encouraging entrepreneurial behavior, while their impact on innovative activity is less explored. This study examines whether, how and why psycho-entrepreneurial traits and social networks effect innovativeness among women firm owners.Design/methodology/approachAnalysis of data collected from 304 Saudi women entrepreneurs accompanied by business accelerators provides a wide support with some notable exceptions. We use Structural Equation Modeling technique to estimate how different constructs interact with each other and jointly affect directly or indirectly women's innovativeness behavior in Saudi Arabia.FindingsFindings point out that innovativeness is positively and significantly affected by emotional intelligence, internal locus of control, entrepreneurial alertness and entrepreneurial self-efficacy. The construct of entrepreneurial self-efficacy mediates the relationship between both business and personal networks and innovativeness. However, professional forums and mentors have no significant effect on innovativeness.Research limitations/implicationsThe sample selection is limited to two entrepreneurial support structures especially business accelerator and business incubator. Expanding the context to other support structures can reinforce the implications and provide more valuable results.Practical implicationsThe findings are likely to be of applicability for improving women entrepreneurship by entrepreneurial support structures.Originality/valueThis research is original in the sense that it investigated useful insights of innovativeness among Saudi female entrepreneurs.
Exploring intervention strategies to enhance face recognition abilities in adolescents with autism spectrum disorder: assessing the impact of verbalization and Navon tasks
Authors: Kim Minje , Chung Kyong-Mee , Chung Eun-Sun 
Published: May 2023

Purpose
The purpose of this study is to examine the effectiveness of two intervention strategies – identifying the global letter of Navon letters and verbally describing a face – in improving face recognition abilities of adolescents with autism spectrum disorder (ASD).

Design/methodology/approach
A total of 15 adolescents with ASD and 15 typically developing (TD) adolescents participated in this study, which consisted of three experimental conditions: verbalization, Navon and control. Participants were presented with a target face for a short period of time, then completed a task specific to the condition in a counterbalanced order, followed by a face recognition task.

Findings
The results of this study showed no significant interaction effects between groups and conditions, either in accuracy or reaction time. However, TD adolescents performed better than ASD adolescents in terms of accuracy. In addition, the verbalization condition resulted in better performance with slower response times compared to the control condition.

Originality/value
These findings suggest that verbalization may be a useful strategy to enhance face recognition abilities in ASD and TD individuals.
Exploration of caregiver experience for children with ASD: an in-depth perspective
Authors: Gupta Neha , Khanna Manya , Garg Rashi , Sethi Vedantika , Khattar Shivangi , Tekkar Purva , Maria Shwetha , Gupta Muskan , Saxena Akash , Gupta Parul , Ann Schuchert Sara 
Published: May 2023

PurposeThis study aims to examine the psycho-emotional and social experiences of caregivers of children with autism spectrum disorder. Various facets of the caregiving experience are explored, including the feelings and thoughts of the parents/caregivers, such as the resilience experienced in their journey, how they coped with the challenges and also their positive experiences.Design/methodology/approachIn this study, these aspects of the caregiving experience are broadly probed using semi-structured interviews subjected to narrative analysis. Lastly, there is a focus on the role of therapist-led intervention, specifically, the Eye to I©intervention model and its contributions to the parent/caregiver experience.FindingsFindings from this study indicate that parents benefit from interventions that bridge gaps in skills and interpersonal communication which parents/caregivers feel they encounter in their day-to-day activities. Additionally, support groups for parents and caregivers could further address these issues.Originality/valueThis exploration reveals insights about the roles of societal structures and the caregiving journey.
Competence or warmth: why do consumers pay for green advertising?
Authors: Shi Jiarong , Jiang Zihao 
Published: May 2023

PurposeThis study aims to assess the impact of functional green advertising receptivity and emotional green advertising receptivity on consumers' green purchase intention. The authors then examine the mediating role of perceived competence and perceived warmth. Furthermore, the authors explore the moderating effect of power distance belief (PDB) on the relationships between green advertising receptivity with different appeals and consumers' perceived competence and perceived warmth respectively.Design/methodology/approachBased on the online survey platform, a total of 468 responses were obtained in China from January to March 2022. 408 valid replies were collected and analyzed in this study. The research hypotheses were empirically verified with bootstrap approach.FindingsThe empirical results indicate that both functional green advertisi\ng receptivity and emotional green advertising receptivity are significantly positively correlated with green purchase intention, and perceived competence and perceived warmth play the mediating role. Besides, PDB significantly strengthens the relationship between functional green advertising receptivity and perceived competence, but weakens the incentive effect of emotional green advertising receptivity on perceived warmth.Originality/valueThe psychological mechanism of the receptivity of green advertising with different appeals affecting green purchase intention remains unclear. This is one of the first studies to uncover how functional green advertising receptivity and emotional green advertising receptivity influence green purchase intention. Besides, the impact of PDB on the formation process of consumer perception is also a black box. By clarifying and comparing the moderating role of PDB on the relationships between advertising receptivity with different appeals and consumers' perceived competence and perceived warmth, this study contributes to the research on the effectiveness of green advertising.
A novel word-graph-based query rewriting method for question answering
Authors: Yan Rongen , Dang Depeng , Gao Hu , Wu Yan , Yu Wenhui 
Published: May 2023

PurposeQuestion answering (QA) answers the questions asked by people in the form of natural language. In the QA, due to the subjectivity of users, the questions they query have different expressions, which increases the difficulty of text retrieval. Therefore, the purpose of this paper is to explore new query rewriting method for QA that integrates multiple related questions (RQs) to form an optimal question. Moreover, it is important to generate a new dataset of the original query (OQ) with multiple RQs.Design/methodology/approachThis study collects a new dataset SQuAD_extend by crawling the QA community and uses word-graph to model the collected OQs. Next, Beam search finds the best path to get the best question. To deeply represent the features of the question, pretrained model BERT is used to model sentences.FindingsThe experimental results show three outstanding findings. (1) The quality of the answers is better after adding the RQs of the OQs. (2) The word-graph that is used to model the problem and choose the optimal path is conducive to finding the best question. (3) Finally, BERT can deeply characterize the semantics of the exact problem.Originality/valueThe proposed method can use word-graph to construct multiple questions and select the optimal path for rewriting the question, and the quality of answers is better than the baseline. In practice, the research results can help guide users to clarify their query intentions and finally achieve the best answer.
Toward ecological environmental risk for spoil ground group management in mega projects
Authors: Li Yulong , Yao Ziwen , Wu Jing , Zeng Saixing , Wu Guobin 
Published: May 2023

PurposeThe numerous spoil grounds brought about by mega transportation infrastructure projects which can be influenced by the ecological environment. To achieve better management of spoil grounds, this paper aims to assess their comprehensive risk levels and categorize them into different categories based on ecological environmental risks.Design/methodology/approachBased on analysis of the environmental characteristics of spoil grounds, this paper first comprehensively identified the ecological environmental risk factors and developed a risk assessment index system to quantitatively describe the comprehensive risk levels. Second, this paper proposed a comprehensive model to determine the risk assessment and categorization of spoil ground group in mega projects integrating improved projection pursuit clustering (PPC) method and K-means clustering algorithm. Finally, a case study of a spoil ground group (includes 50 spoil grounds) in a mega infrastructure project in western China is presented to demonstrate and validate the proposed method.FindingsThe results show that our proposed comprehensive model can efficiently assess and categorize the spoil grounds in the group based on their comprehensive ecological environmental risk. In addition, during the process of risk assessment and categorization of spoil grounds, it is necessary to distinguish between sensitive factors and nonsensitive factors. The differences between different categories of spoil grounds can be recognized based on nonsensitive factors, and high-risk spoil grounds which need to be focused more on can be identified according to sensitive factors.Originality/valueThis paper develops a comprehensive model of risk assessment and categorization of a group of spoil grounds based on their ecological environmental risks, which can provide a reference for the management of spoil grounds in mega projects.
Impact of fiscal deficit and trade openness on current account deficit in India: new evidence on twin deficits hypothesis
Authors: Mehta Dhyani , Mallikarjun M. 
Published: May 2023

PurposeThis study aims to examine the impact of fiscal deficit, exchange rate and trade openness on current account deficit (CAD). The study tried to empirically investigate the ‘twin deficits hypothesis’ and ‘compensation hypothesis’ in the Indian context.Design/methodology/approachAutoregressive distributed lagARDL) bound test approach was used by taking annual time series data from 1978 to 2021. The estimates confirm a significant long-run and short-run relationship between dependent variables, i.e. CAD and independent variables such as the fiscal deficit, exchange rate and trade openness.FindingsThe results show that positive shocks of all explanatory variables significantly affect the CAD. CAD and fiscal deficit are significantly associated, as the coefficient of fiscal deficit is positive and significant. The study also found that exchange rate and trade openness significantly affect the CAD. The coefficients of exchange rate and trade openness are positive and significant. The findings show that an increase in CADs results from liberal trade policies that help domestic industries grow their trade and expansionary fiscal policy, leading to a higher fiscal deficit. The negative and significant error correction term suggests that short-run disequilibrium converges to long-run equilibrium at a speed of 19.2%. The findings validate the ‘twin deficits hypothesis’ and ‘compensation hypothesis’ in the Indian context.Practical implicationsIt can be inferred from the study that liberal policy to promote economic growth and trade openness should be designed and promoted judiciously. An excessive liberalised approach may impact other macroeconomic variables such as current account balances. Integrating the domestic market with global markets poses a big challenge for countries like India that aspire to penetrate global markets. Furthermore, the Indian policy makers should rigorously work and promote the policies such as Fiscal Responsibility and Budget Management (FRBM) as reduction in fiscal deficits, trade imbalances will also be reduced.Originality/valueThis study contributes to the existing literature on ‘twin deficit’ and trade openness by giving new evidence on the trilemma between designing sustainable fiscal policy by spending wisely without imperilling the country's global presence and CAD.