bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeting myeloperoxidase to reduce neuroinflammation in X-linked dystonia parkinsonism
Authors: Petrozziello Tiziana , Motlagh Negin J. , Monsanto Ranee Z.B. , Lei Dan , Murcar Micaela G. , Penney Ellen B. , Bragg D. Cristopher , Fernandez-Cerado Cara , Legarda G. Paul , Sy Michelle , Muñoz Edwin , Ang Mark C. , Diesta Cid Czarina E. , Zhang Can , Tanzi Rudolph E. , Qureshi Irfan A. , Chen John W. , Sadri-Vakili Ghazaleh 
Published: June 2024

AbstractAlthough the genetic locus of X-linked dystonia parkinsonism (XDP), a neurodegenerative disease endemic in the Philippines, is well-characterized, the exact molecular mechanisms leading to neuronal loss are not yet fully understood. Recently, we demonstrated a significant increase in astrogliosis and microgliosis together with an increase in myeloperoxidase (MPO) levels in XDP post-mortem prefrontal cortex (PFC), suggesting a role for neuroinflammation in XDP pathogenesis. Here, we demonstrated a significant increase in MPO activity in XDP PFC using a novel specific MPO-activatable fluorescent agent (MAFA). Additionally, we demonstrated a significant increase in reactive oxygen species (ROS) in XDP-derived fibroblasts as well as in SH-SY5Y cells treated with post-mortem XDP PFC, further supporting a role for MPO in XDP. To determine whether increases in MPO activity were linked to increases in ROS, MPO content was immuno-depleted from XDP PFC [MPO(-)], which resulted in a significant decrease in ROS in SH-SY5Y cells. Consistently, the treatment with verdiperstat, a potent and selective MPO inhibitor, significantly decreased ROS in both XDP-derived fibroblasts and XDP PFC-treated SH-SY5Y cells. Collectively, our results suggest that MPO inhibition mitigates oxidative stress and may provide a novel therapeutic strategy for XDP treatment.Highlights□MPO activity is increased in XDP post-mortem prefrontal cortex.□MPO activity is increased in cellular models of XDP.□MPO increases reactive oxygen species (ROS) in vitro.□Inhibiting MPO mitigates ROS in XDP.□The MPO inhibitor, verdiperstat, dampens ROS suggesting a potential therapeutic strategy for XDP.
AAV delivery ofGBA1suppresses α-synuclein accumulation in Parkinson’s disease models and restores motor dysfunction in a Gaucher’s disease model
Authors: Okai Takuro , Sato Sho , Deshpande Mugdha , Matsumoto Shin-ichi , Nakayama Miyu , Yamamoto Syunsuke , Strack-Logue Bettina , Hioki Takeshi , Tanaka Maiko , Proetzel Gabriele 
Published: June 2024

AbstractBiallelic mutations in theglucosylceramidase beta 1(GBA1) gene are the underlying genetic cause of Gaucher’s disease (GD), resulting in a deficient lysosomal hydrolase and subsequent accumulation of glycosphingolipids. More recently,GBA1mutations have been identified as the most prevalent genetic risk factor for Parkinson’s disease (PD), associated with more pronounced symptoms characterized by earlier onset and accelerated cognitive decline. In these GBA-associated PD patients the α-synuclein pathology is more prominent, and recent data suggest a link between α-synucleinopathies andGBA1mutations. Here, we explored the effect ofGBA1gene supplementation on the GD phenotypes and α-synuclein pathology by using the adeno-associated virus (AAV) system. We have compared two AAV serotypes, AAV5 and AAV9, and two different ubiquitous promoters, and demonstrate that both promoters work efficiently albeit not the samein vitroandin vivo. GBA1overexpression reduces the accumulation of glucosylsphingosine (GlcSph) and restores motor dysfunction in a GD mouse model. We further demonstrate thatGBA1overexpression can dissolve phospho-α-synuclein aggregation induced by the addition of α-synuclein pre-formed fibril (PFF) in a mouse primary neuron model suggesting the direct effect of β-Glucocerebrosidase (GCase) on α-synuclein accumulation.In vivo, we show that GCase inhibition can induce insoluble high-molecular-weight α-synuclein aggregation and that delivery ofGBA1achieves robust reduction of the α-synuclein aggregates in the mouse brain. In summary, GCase expression not only reduces GlcSph, but also restores GD motor dysfunction and removes α-synuclein aggregates which are the hallmark for PD and α-synucleinopathies. AAV delivery ofGBA1is a powerful approach to restore glucocerebrosidase function and to resolve misfolded α-synuclein protein, with applications for GD and PD.
Repression of varicella zoster virus gene expression during quiescent infection in the absence of detectable histone deposition
Authors: Wang Jiayi , Brückner Nadine , Weißmann Simon , Günther Thomas , Zhu Shuyong , Vogt Carolin , Sun Guorong , Bruno Renzo , Ritter Birgit , Steinbrück Lars , Kaufer Benedikt B. , Depledge Daniel P. , Grundhoff Adam , Viejo-Borbolla Abel 
Published: June 2024

AbstractVaricella zoster virus (VZV) is a human-specific herpesvirus that establishes latency in peripheral neurons. The only transcripts detected in infected human trigeminal ganglia (TG) obtained shortly after death correspond to the VZV latency-associated transcript (VLT) and associated VLT-ORF63 splice variants.In vitrostudies showed that VLT-ORF63 is translated into a protein (pVLT-ORF63) that induces VZV transcription. The mechanisms that lead to this restricted gene expression and the transition to lytic replication remain unknown, partly due to the difficulty of working with human neurons. In this study, we addressed whether the neuroblastoma-derived cell line SH-SY5Y could serve as a model to investigate the mechanisms that lead to repression of VZV gene expression followed by reactivation. VZV productively infected differentiated SH-SY5Y (dSH-SY5Y) whereas incubation with acyclovir (ACV) inhibited virus replication and induced a progressive repression of the virus. Upon removal of ACV there was production of viral particles in a subset of cells, while others contained non-replicating VZV genomes and VLT-containing transcripts for at least 20 days post-infection (dpi). Exogenous expression of VLT-ORF63 induced productive infection, suggesting that the non-replicating and repressed genomes remained functional. Interestingly, histone deposition was undetectable at VZV genomes in quiescently infected dSH-SY5Y cells, pointing to a potential novel mechanism leading to VZV repression in this neuronal setting.
Supervised learning to covering cost risk through post-construction evaluation of transportation projects by project delivery methods
Authors: Bae Junseo 
Published: June 2024

PurposeThe main objectives of this study are to (1) develop and test a cost contingency learning model that can generalize initially estimated contingency amounts by analyzing back the multiple project changes experienced and (2) uncover the hidden link of the learning networks using a curve-fitting technique for the post-construction evaluation of cost contingency amounts to cover cost risk for future projects.Design/methodology/approachBased on a total of 1,434 datapoints collected from DBB and DB transportation projects, a post-construction cost contingency learning model was developed using feedforward neural networks (FNNs). The developed model generalizes cost contingencies under two different project delivery methods (i.e. DBB and DB). The learning outputs of generalized contingency amounts were curve-fitted with the post-construction schedule and cost information, specifically aiming at uncovering the hidden link of the FNNs. Two different bridge projects completed under DBB and DB were employed as illustrative examples to demonstrate how the proposed modeling framework could be implemented.FindingsWith zero or negative values of change growth experienced, it was concluded that cost contingencies were overallocated at the contract stage. On the other hand, with positive values of change growth experienced, it was evaluated that set cost contingencies were insufficient from the post-construction standpoint. Taken together, this study proposed a tangible post-construction evaluation technique that can produce not only the plausible ranges of cost contingencies but also the exact amounts of contingency under DBB and DB contracts.Originality/valueAs the first of its kind, the proposed modeling framework provides agency engineers and decision-makers with tangible assessments of cost contingency coupled with experienced risks at the post-construction stage. Use of the proposed model will help them evaluate the allocation of appropriate contingency amounts. If an agency allocates a cost contingency benchmarked from similar projects on aspects of the base estimate and experienced risks, a set contingency can be defended more reliably. The main findings of this study contribute to post-construction cost contingency verification, enabling agency engineers and decision-makers to systematically evaluate set cost contingencies during the post-construction assessment stage and achieving further any enhanced level of confidence for future cost contingency plans.
Duration and resource constraint prediction models for construction projects using regression machine learning method
Authors: Selvam Gopinath , Kamalanandhini Mohan , Velpandian Muthuvel , Shah Sheema 
Published: June 2024

PurposeThe construction projects are highly subjected to uncertainties, which result in overruns in time and cost. Realistic estimates of workforce and duration are imperative for construction projects to attain their intended objectives. The aim of this study is to provide accurate labor and duration estimates for the construction projects, considering actual uncertainties.Design/methodology/approachThe dataset was formulated from the information collected from 186 construction projects through direct interviews, group discussions and questionnaire methods. The actual uncertainties and exposure conditions of construction activities were recorded. The data were verified with the standard guideline to remove the outliers. The prediction model was developed using support vector regression (SVR), a machine learning (ML) method. The performance was evaluated using the widely adopted regression metrics. Further, the cross validation was made with the visualization of residuals and predicted errors, ridge regression with transformed target distribution and a Gaussian Naive Bayes (NB) regressor.FindingsThe prediction models predicted the duration and labor requirements with the consideration of actual uncertainties. The residual plot indicated the appropriate use of SVR to develop the prediction model. The duration (DC) and resource constraint (RC) prediction models obtained 80 and 82% accuracy, respectively. Besides, the developed model obtained better accuracy for the training and test scores than the Gaussian NB regressor. Further, the range of the explained variance score and R2 was from 0.95 to 0.97, indicating better efficiency compared with other prediction models.Research limitations/implicationsThe researchers will utilize the research findings to estimate the duration and labor requirements under uncertain conditions and further improve the construction project management practices.Practical implicationsThe research findings will enable industry practitioners to accurately estimate the duration and labor requirements, considering historical uncertain conditions. A precise estimation of resources will ensure the attainment of the intended project outcomes.Social implicationsDelays in construction projects will be reduced by implementing the research findings, which significantly ensures the effective utilization of resources and attainment of other economic benefits. The policymakers will develop a guideline to develop a database to collect the uncertainties of the construction projects and relatively estimate the resource requirements.Originality/valueThis is the first study to consider the actual uncertainties of construction projects to develop RC and DC prediction models. The developed prediction models accurately estimate the duration and labor requirements with minimal computational time. The industry practitioners will be able to accurately estimate the duration and labor requirements using the developed models.
Cooperative R&D networks embeddedness and innovation resilience: the moderating role of environmental turbulence
Authors: Li Jian , Peng Di , Zheng Li , Yuan Ling , Li Ruida 
Published: June 2024

PurposeThe relationship between cooperative R&D network embeddedness and firm innovation resilience is understudied. This paper seeks to answer the questions of whether and how embedding in cooperative R&D networks improve digital firms’ innovation resilience.Design/methodology/approachBased upon social capital theory, this paper proposes a conceptual model with several hypotheses. The empirical analysis is based on a sample of 2,908 observations from 2005 to 2022. We measure firm innovation resilience by drawing on economic resilience and use LSM tests to assess the effect of cooperative R&D network position on innovation resilience.FindingsThe results indicate that cooperative R&D network centrality has a positive impact on firm innovation resilience and that the structural holes of the cooperative R&D network have an inverted U-shaped relationship with firm innovation resilience. Moreover, technological turbulence negatively moderates the relationship between centrality and firm innovation resilience while also steepening the inverted U-shaped relationship between structural holes and firm innovation resilience. Market turbulence positively moderates the relationship between centrality and firm innovation resilience. However, the moderating effect of market turbulence on the inverted U-shaped relationship between structural holes and firm innovation resilience is not significant.Research limitations/implicationsInnovators' knowledge needs, bounded rationality, interests, and even organizational environments change over time, thus prompting them to constantly seek new opportunities to exchange and integrate knowledge, meet new beneficial partners, maintain beneficial cooperation, or terminate unhelpful cooperation. The utility of the network structure has dynamic characteristics. Only by considering the dynamics of the network can research on the mechanism of network structure be more complete, accurate and convincing. Therefore, future research can pay more attention to the relationship between dynamic networks and firm innovation resilience.Practical implicationsFirms should actively embed themselves in the cooperative R&D network and occupy a beneficial network position. By joining the cooperative R&D network, firms can gain resource advantages and enhance their ability to resist external shocks and improve innovation resilience.Originality/valueThis research advances our understanding of the antecedents of firm innovation resilience through the lens of organizational cooperation and uncovers the boundary conditions under which network embeddedness influences innovation resilience, thereby further enriching the theoretical framework of innovation resilience.
Demystifying oral history with natural language processing and data analytics: a case study of the Densho digital collection
Authors: Chen Haihua , Kim Jeonghyun (Annie) , Chen Jiangping , Sakata Aisa 
Published: June 2024

Purpose
This study aims to explore the applications of natural language processing (NLP) and data analytics in understanding large-scale digital collections in oral history archives.

Design/methodology/approach
NLP and data analytics were used to analyse the oral interview transcripts of 904 survivors of the Japanese American incarceration camps collected from Densho Digital Repository, relying specifically on descriptive analysis, keyword extraction, topic modelling and sentiment analysis (SA).

Findings
The researchers found multiple geographic areas of large residential communities of ethnic Japanese people and the place names of the concentration camps. The keywords and topics extracted reflect the deplorable conditions and militaristic nature of the camps and the forced labour of the internees. When remembering history, the main focus for the narrators remains the redress and reparation movement to obtain the restitution of their civil rights. SA further found that the forcible removal and incarceration of Japanese Americans during Second World War negatively impacted and brought deep trauma to the narrators.

Originality/value
This case study demonstrated how NLP and data analytics could be applied to analyse oral history archives and open avenues for discovery. Archival researchers and the general public may benefit from this type of analysis in making connections between temporal, spatial and emotional elements, which will contribute to a holistic understanding of individuals and communities in terms of their collective memory.
Does psychological safety matter for innovative behaviour in hybrid workforce? The role of proactive personality, inclusive leadership and affective climate
Authors: Vallabh Priyanka , Dhir Swati , Budhwar Pawan 
Published: June 2024

PurposeThe study aims to understand the impact of psychological safety on employee creativity leading to innovative behaviour in a hybrid workforce. It further examines the drivers of psychological safety: inclusive leadership and affective climate as well as the interaction of employee creativity and proactive personality on innovative behaviour at remote work.Design/methodology/approachUsing multi-source survey-based data, the study has been conducted in two phases for independent variables (IV) and dependent variables (DV). The first phase has gathered data for IVs from 515 team members and DVs from 105 teams’ leaders from various software development teams in the information technology and information technology enabled services sectors. The study has used component-based partial least square structural equation modelling to test various arguments developed in the paper.FindingsThe results of the study confirm the positive association of affective climate and inclusive leadership to psychological safety, which facilitates employee creativity leading to innovative behaviour. However, the results show there is no interaction of a proactive personality with employee creativity on innovative behaviour. Also, the results have supported the social network theory, which says that the strong ties among employees promote innovative behaviour.Practical implicationsAccording to the study, psychological safety might help strengthen and increase the social ties that bridge structural holes and improve collaboration across business units. This may encourage employee creativity, especially in remote work. Further, it highlights how employee creativity and proactive personality are important independent factors that facilitate innovative behaviour.Originality/valueThe study is a unique attempt to explore the role of psychological safety in enhancing creativity and innovative behaviour in hybrid mode of work setting.
The intersection between traditional roles and a fragmented labor market: a propensity score matching analysis of gender wage gap in Ecuador
Authors: Caria Sara , Yepez Jorge 
Published: June 2024

PurposeThis study aims at estimating the gender wage gap in Ecuador, and its evolution over the last decade and a half, exploring its heterogeneity through different working conditions (formal/informal, full employment/underemployment, short term/long term and tenure/no tenure) and workers personal characteristics (education level; age and children).Design/methodology/approachPropensity score matching (PSM) and coarsened exact matching (CEM) are used to examine the gender pay inequality of wage earners in Ecuador, using the National Employment, Unemployment and Underemployment Survey (ENEMDU) data set from 2007 to 2022.FindingsResults show a persistent gender pay gap, evidencing a significant heterogeneity through the different dimensions taken into account, in terms of working conditions and workers personal characteristics. The evolution of the pay gap during the years analyzed hardly shows any reduction of differences in earnings between men and women; on the contrary, women exposure to precarious and unregulated jobs seems to be increasing wage inequality.Practical implicationsThe results make the case for active policies oriented not only at containing the negative effects of the traditional division of labor within the family but also at improving labor law enforcement, mitigating informality and workers rapid turnover.Originality/valueThis study is one of the few that use matching techniques to study the gender wage gap and the first in Ecuador; the time span taken into account is larger than previous studies, allowing a medium-long run perspective across different economic phases.
Virtual revolution: leveraging teleworking as an HRD intervention for successful employment of people with disabilities in the digital age
Authors: Kumari Neha , Lenka Usha 
Published: June 2024

PurposeThis article aims to find the important factors responsible for developing people with disabilities (PwD) to be successful teleworkers, subsequently identify the interrelationship between the factors, and finally, prioritize the factors.Design/methodology/approachThis study has adopted preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology for systematic literature review. Then nominal group technique (NGT) was used to find out the crucial factors and decision-making trial and evaluation laboratory (DEMATEL) to obtain the cause-and-effect relation of variables.FindingsTrust (TR), Top Management Support (TMS), Organizational Commitment (OC), Training and Education (TE), Information and Communications Technology (ICT), Job Satisfaction (JS), Flexibility and Autonomy (FA) and Job Productivity (JP) found to be the crucial factors responsible for making PwD successful teleworkers.Practical implicationsThis study will benefit both organizations and PwD teleworkers if the factors mentioned in this study are focused. Policymakers in organizations can use this study to focus on prioritized factors to reap the benefit of teleworking by developing PwD.Originality/valueThis study is unique because of its innovative methodology, in-depth interviews with experts, emphasis on inclusivity and use of DEMATEL analysis. Taken as a whole, these elements add significant value to our understanding of teleworking for individuals with disabilities, which is not done in earlier disability inclusion studies.
When despotic leadership is more detrimental for employee job outcomes? Role of individual-level power distance orientation
Authors: Shahzad Khurram , Naz Farah , Iqbal Rimsha , Chaudhary Richa 
Published: June 2024

PurposeUsing social exchange and power-dependence theories, this study advances the emergent debate on the dark side of leadership by examining the impact of despotic leadership style on employees’ supervisor-rated job performance, job satisfaction and turnover intention with individual-level power distance orientation as a moderator.Design/methodology/approachWe collected multisource and time-lagged survey data in two waves from 65 leaders and 300 subordinates as paired responses working in different banks, telecom and IT companies.FindingsIt was found that employees’ exposure to despotic leadership harms their job performance and job satisfaction and has a positive effect on their turnover intention. In line with our prediction, low power distance orientation employees react more strongly to despotic leadership while high power distance orientation mitigates its effects on employee job outcomes.Practical implicationsDespotic behavioral tendencies must be taken into consideration while selecting and appointing leaders. Organizational leaders should also refrain from opportunistic and exploitative use of their followers' efforts.Originality/valueThis study adds to the emerging literature on the dark side of leadership by examining the relationship of despotic leadership style with employee job outcomes. The unique contribution of this study is the examination of individual-level power distance orientation as the boundary condition of these relationships.