bluuebunny/crossref_metadata_2025_split huggingface dataset:
A standardized quantitative analysis strategy for stable isotope probing metagenomics
Authors: Vyshenska Dariia , Sampara Pranav , Singh Kanwar , Tomatsu Andy , Kauffman W. Berkeley , Nuccio Erin E. , Blazewicz Steven J. , Pett-Ridge Jennifer , Varghese Neha , Kellom Matthew , Clum Alicia , Riley Robert , Roux Simon , Eloe-Fadrosh Emiley A. , Ziels Ryan M. , Malmstrom Rex R. 
Published: December 2022

ABSTRACTStable isotope probing (SIP) facilitates culture-independent identification of active microbial populations within complex ecosystems through isotopic enrichment of nucleic acids. Many SIP studies rely on 16S rRNA sequences to identify active taxa but connecting these sequences to specific bacterial genomes is often challenging. Here, we describe a standardized laboratory and analysis framework to quantify isotopic enrichment on a per-genome basis using shotgun metagenomics instead of 16S rRNA sequencing. To develop this framework, we explored various sample processing and analysis approaches using a designed microbiome where the identity of labeled genomes, and their level of isotopic enrichment, were experimentally controlled. With this ground truth dataset, we empirically assessed the accuracy of different analytic models for identifying active taxa, and examined how sequencing depth impacts the detection of isotopically labeled genomes. We also demonstrate that using synthetic DNA internal standards to measure absolute genome abundances in SIP density fractions improves estimates of isotopic enrichment. In addition, our study illustrates the utility of internal standards to reveal anomalies in sample handling that could negatively impact SIP metagenomic analyses if left undetected. Finally, we presentSIPmg, an R package to facilitate the estimation of absolute abundances and perform statistical analyses for identifying labeled genomes within SIP metagenomic data. This experimentally validated analysis framework strengthens the foundation of DNA-SIP metagenomics as a tool for accurately measuring thein situactivity of environmental microbial populations and assessing their genomic potential.ImportanceAnswering the question of ‘who is eating what?’within complex microbial communities is paramount for our ability to model, predict, and modulate microbiomes for improved human and planetary health. This question is often pursued using stable isotope probing to track the incorporation of labeled compounds into cellular DNA during microbial growth. However, with traditional stable isotope methods, it is challenging to establish links between an active microorganism’s taxonomic identity and genome composition, while providing quantitative estimates of the microorganism’s isotope incorporation rate. Here, we report an experimental and analytical workflow that lays the foundation for improved detection of metabolically active microorganisms and better quantitative estimates of genome-resolved isotope incorporation, which can be used to further refine ecosystem-scale models for carbon and nutrient fluxes within microbiomes.
The processing of stress in a foreign language modulates functional antagonism between default mode and attention network regions
Authors: Rogenmoser Lars , Mouthon Michael , Etter Faustine , Kamber Julie , Annoni Jean-Marie , Schwab Sandra 
Published: December 2022

AbstractLexical stress is an essential element of prosody. Mastering this prosodic feature is challenging, especially in a stress-free foreign language for individuals native to a stress-fixed language, a phenomenon referred to as stress deafness. By using functional magnetic resonance imaging, we elucidated the neuronal underpinnings of stress processing in a stress-free foreign language, and determined the underlying mechanism of stress deafness. Here, we contrasted behavioral and hemodynamic responses revealed by native speakers of a stress-free (German;N= 38) and a stress-fixed (French;N= 47) language while discriminating pairs of words in a stress-free foreign language (Spanish). Consistent with the stress deafness phenomenon, French speakers performed worse than German speakers in discriminating Spanish words based on cues of stress but not of vowel. Whole-brain analyses revealed widespread bilateral networks (cerebral regions including frontal, temporal and parietal areas as well as insular, subcortical and cerebellar structures), overlapping with the ones previously associated with stress processing within native languages. Moreover, our results provide evidence that the structures pertaining to a right-lateralized attention system (i.e., middle frontal gyrus, anterior insula) and the Default Mode Network modulate stress processing as a function of the proficiency level. In comparison to the German speakers, the French speakers activated the attention system and deactivated the Default Mode Network to a stronger degree, reflecting attentive engagement, likely a compensatory mechanism underlying the “stress-deaf” brain. The mechanism modulating stress processing argues for a rightward lateralization, indeed overlapping with the location covered by the dorsal stream but remaining unspecific to speech.
Chronic modulation of human memory and thalamic-hippocampal theta activities
Authors: Marks Victoria S. , Lech Michal , Gregg Nicholas M. , Sladky Vladimir , Mivalt Filip , Crepeau Dan P. , Dolezal Jaromir , Alden Eva , Lundstrom Brian N. , Klassen Bryan , Messina Steven A. , Brinkmann Benjamin H. , Miller Kai J. , Van Gompel Jamie J. , Kremen Vaclav , Worrell Gregory A. , Kucewicz Michal T. 
Published: December 2022

AbstractElectrical stimulation is a powerful therapeutic tool for treating neurologic and neuropsychiatric disorders. Sensing and modulating electrophysiological biomarkers of memory over extended timescales is necessary for tracking and improving memory in humans. Here, we describe results from humans in their natural home environments using a novel, investigational system enabling chronic stimulation and multi-channel recording of anterior thalamic and hippocampal local field potentials during memory tasks. Four people with focal epilepsy performed a free recall verbal memory task repeatedly for up to fifty months on a touch-screen device with wireless signal acquisition with electrophysiology and behavioral data streaming to a cloud environment. Anterior thalamic-hippocampal spectral activities in the theta frequency range were found to correlate with memory processing, to predict task performance, and to be modulated by deep brain stimulation. Our results provide a new biomarker-based technology for chronic remote tracking of memory performance and modulation of the associated neural activities.One Sentence SummaryElectrical stimulation in the anterior thalamic nuclei modulates theta frequency activities and improves human verbal memory performance chronically.
A novel performance scoring quantification framework for stress test set-ups
Authors: Kozlovski Tal , Hausdorff Jeffrey M. , Davidov Ori , Giladi Nir , Mirelman Anat , Benjamini Yoav 
Published: December 2022

ABSTRACTStress tests, e.g., the cardiac stress test, are standard clinical screening tools aimed to unmask clinical pathology. As such stress tests indirectly measurephysiological reserves. The term reserve has been developed to account for the dis-junction, often observed, between pathology and clinical manifestation. It describes a physiological capacity that is utilized in demanding situations. However, developing a new and reliable stress test based screening tool is complex, prolonged, and relies extensively on domain knowledge. We propose a novel model-free machine–learning framework, the Stress Test Performance Scoring (STEPS) framework, to model expected performance in a stress test. A performance scoring function is trained with measures taken during the performance in a given task while exploiting information regarding the stress test set-up and subjects’ medical state. Multiple ways of aggregating performance scores at different stress levels are suggested and are examined with an extensive simulation study. When applied to a real-world data example, an AUC of 84.35[95%CI: 70.68 −95.13] was obtained for the STEPS framework to distinguish subjects with neurodegeneration from controls. In summary, STEPS improved screening by exploiting existing domain knowledge and state-of-the-art clinical measures. The STEPS framework can ease and speed up the production of new stress tests.
Directors' and officers' liability insurance and digital transformation – the mediating role of explorative innovation
Authors: Huang Jing , Ling Zixi , Lu Ren 
Published: December 2022

PurposeThe purpose of this paper is to investigate the relations between the directors' and officers' (D&O) insurance and digital transformation of Chinese-listed companies to provide insights into triggers of digital transformation from the perspective of D&Os' incentive plan.Design/methodology/approachBased on a panel dataset of 2,590 listed manufacturing companies in China from 2017 to 2020, and using a textual analysis of annual reports, this paper empirically examines the impact of D&O insurance on digital transformation. The authors investigate the mechanism through a mediating model and apply a series of robustness tests including firm fixed effect model, propensity score matching and changing key measures.FindingsThe research shows that the digital transformation has been negatively influenced by D&O insurance. The long coverage duration of D&O insurance significantly lowers the level of digital transformation. The moral hazard problem caused by D&O insurance has hampered digital transformation through reducing explorative innovation, while there has been no significant change in innovation quantity. Under the coverage of D&O insurance, firms with worse internal governance and state-owned firms are more reluctant to invest in risky transformation than their counterparts.Originality/valueBased on a textual analysis of annual reports, this paper empirically tests the influential mechanism of D&O insurance coverage on digital transformation. The authors provide insights into non-tech triggers of digital transformation and uncover how incentive plans influences D&Os' behaviors. This paper provides a new angle to the debate on governance-strengthening and governance-weakening role of D&O insurance.
A fuzzy QFD approach to prioritize capabilities and enablers of organizational agility based on its drivers: a case study
Authors: Abbaszadeh Marzieh , Shirouyehzad Hadi , Asadpour Milad 
Published: December 2022

PurposeThe purpose of this paper is to present a fuzzy Quality Function Deployment (QFD)-based approach for identifying and prioritizing organizational agility (OA) capabilities and enablers based on its drivers.Design/methodology/approachFirst, several models for agility drivers (ADs), agility capabilities (ACs) and agility enablers (AEs) are reviewed and ranked, and the best for each one is selected. Second, ADs’ indexes are weighted by using experts’ comments and fuzzy numbers. Finally, by using a proposed fuzzy QFD approach, ACs and AEs are prioritized. In addition, the proposed approach has been examined within a real case study, Golnoor Company in Esfahan, Iran.FindingsResults reveal that among ADs’ criteria, “Changes in competition criteria” have the highest weights for the case study. In addition, “Leadership in the use of current technology” and “Knowledge management” have been ranked as the first place among ACs and AEs, respectively.Originality/valueAfter conducting a comprehensive literature review, the authors did not find any particular framework, which consider AEs and ACs based on ADs simultaneously. Accordingly, the authors’ main novelty is proposing a fuzzy QFD to prioritize the OA capabilities and enablers based on its drivers.
Double standard policy: why are immigrants still at the tail of welfare?
Authors: Krutova Oxana 
Published: December 2022

PurposeThis research considers the question of whether unemployment insurance benefit and labour-market activation measures induce the likelihood of re-employment and whether this effect differs for natives and immigrants.Design/methodology/approachStatistical processing was carried out on the European Union Statistics on Income and Living Conditions cross-sectional data for Finland for the period 2004 to 2016. Propensity score matching analysis was undertaken to investigate whether a treatment effect (unemployment insurance benefit) was a predictor of success in increasing re-employment rates, when controlling for participation in labour-market policy measures, subsidized employment and personal background characteristics.FindingsWe find that the probability of re-employment for recipients of unemployment benefits is half that of non-recipients of benefits. Due to the influence of subsidized employment, subsequent employment income decreases for recipients of unemployment benefits and especially for immigrants. Finally, we find that due to the influence of subsidized employment, time spent as a full-time employee decreases for recipients of unemployment benefits and especially for immigrants.Originality/valueAlthough our results indicate that benefit determination has a marked impact on re-employment probabilities, unobserved variables turn to play a significant role in selection of labour-market activation measures. In this respect, we find the treatment assignment to activation policy measures depends on influence of unobserved variables and this effect is more important for the re-employment rates of natives than it is for immigrants.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-11-2019-0668.
Art-of-living at work: interventions to reduce stress and increase well-being
Authors: Schwarz Mira , Feldmann Franziska , Schmitz Bernhard 
Published: December 2022

PurposeDue to the increasing burden of stress in the workplace, it is necessary to develop interventions to prevent long-term overload. The present study is based on the concept of art-of-living, which promotes a more reflective and conscious approach to life. In study 1, an online training designed to increase well-being was administered. Study 2 investigated the impact of an art-of-living training in a workplace environment.Design/methodology/approachStudy 1 employed a two-factorial design, crossing time of testing (pre-test, post-test and follow-up-test) with group (three experimental groups; one control group); 67 participants received art-of-living training on their individual weaknesses and/or strengths or alternative control training. Study 2 used repeated measures and a waiting-list control group; 20 employees of a pharmaceutical company took part in the two-day intervention with a two-week learning phase in between.FindingsThe results of Study 1 indicated that even brief online art-of-living interventions can be effective. Significant differences between pre-, post- and follow-up-tests were observed in art-of-living and well-being scores among participants who had undergone training in art-of-living components identified as representing their strengths or a combination of their strengths and their weaknesses. The results of Study 2 also indicated positive outcomes in the experimental group, with significant increases between pre- and post-test in art-of-living, flourishing, positive affect and occupational self-efficacy, and significant decreases in negative affect.Originality/valueThe results demonstrate that art-of-living training can be used to increase art-of-living, well-being and occupational self-efficacy. Therefore, this type of intervention should attract further attention in future studies especially in the context of the workplace.
Impact of government support on users' participation in emerging green crowdsourcing logistics model: evidence from digital freight platform in China
Authors: Xiao Liang , Ke Tongping , Yu Fumao , Guo Peihua 
Published: December 2022

PurposeDigital freight platform is an innovation practice of green concept, sharing economy and crowdsourcing concept in China's logistics field. It has many advantages, such as improving the utilization rate of logistics resources, reducing carbon emissions, etc., so it has been highly regarded by the government. This paper systematically studies what types of government supports are available and explores the influence mechanism of these government supports on users' participation intention in digital freight platform.Design/methodology/approachIn total 191 valid questionnaires were collected through a questionnaire survey in China. Then SmartPLS is used to analyze the collected data.FindingsThe empirical results show that user subsidies, standardization of tax administration and financial resource support have a significant impact on actual carriers' participation intention in digital freight platform. The impact of standardization of tax administration on actual carriers' participation intention is the most substantial, followed by that of financial resource support, while the user subsidies exert a minimum impact. Moreover, the impact of standardization of tax administration and user subsidies on legitimacy perception is related to enterprise scale.Originality/valueThis study enriches the field of crowdsourcing logistics research and provides referential suggestions for the formulation and implementation of government supports to promote the sustainable development of green crowdsourcing logistics platforms represented by digital freight platform. In addition, in the growth process of new models with strong social benefits, the government can promote its development through a variety of policy tools to improve the accuracy of government policies.
A moderated mediation model of situational context and brand image for online purchases using eWOM
Authors: Hoang Le Nguyen , Tung Le Thanh 
Published: December 2022

Purpose
The moderating role of situational context in the effects of electronic word-of-mouth (eWOM) on online purchase intention through brand image has found sparse empirical support. This study thus aims to examine whether situational context affects the direction and strength of the relationships between aspects of eWOM and brand image that lead to online purchase intention.

Design/methodology/approach
To extend the existing research, the authors tested the model using a sample of 546 online shoppers during the fourth wave of COVID-19 in Ho Chi Minh City. Specifically, the testing of the direct relationships and the mediating role of brand image occurred using measurement and structural models. The authors then created a moderated mediation model to examine the moderating role of situational context. Furthermore, the authors probed the interactions by identifying changes in the relationships from eWOM to online purchase intention through a brand image at different levels of situational context.

Findings
Without situational context’s moderating effect, brand image positively partially mediated the influence of either eWOM credibility or quantity on intention. Situational context’s moderating effect then explains why high- versus low-level disease-avoidance customers seek less eWOM credibility and more eWOM quantity to develop brand images and shape their intentions.

Originality/value
The findings have theoretical implications for understanding the pressure of disease avoidance on customers’ online purchase intentions. Among the practical implications of the research are tactics for profit and non-profit purposes.
Dark personality triad and cyberentrepreneurial intentions: the mediation of cyberentrepreneurial self-efficacy and moderation of positive thinking
Authors: Ahmed Ishfaq , Islam Talat 
Published: December 2022

PurposeAdvancement and disruptions in technologies have attracted cyberentrepreneurs globally, but what factors influence their intentions is an area that requires in-depth investigation. In order to dig down the phenomenon of cyberentrepreneurial intentions (CEIs), this study entails investigation of both direct and indirect effects (through cyberentrepreneurial self-efficacy; CESE) of the dark personality traits (e.g. Machiavellianism, narcissism and psychopathy). It also aims to investigate the moderating role of positive thinking (PT) on the association between CESE and CEIs.Design/methodology/approachData are collected, using personally administrated questionnaires, from students enrolled in business and information technology (IT) programs in large public sector universities in three waves to tackle common method bias. A total of 641 useful responses were considered for analysis purposes.FindingsThe results reveal that not all dark triad dimensions influence CEIs and CESE. Narcissism is the only positive predictor of both the outcome variables (CESE and CEIs). Specifically, psychopathy positively influences CEIs, while its effects on CESE are negative; whereas Machiavellianism does not predict CESE, however, it negatively influences CEIs. In addition, CESE mediates the association between narcissism and CEIs; however, PT strengthens the relationship between CESE and CEIs.Research limitations/implicationsThe study collected data from a country with low entrepreneurs; therefore, results may vary for countries with a large number of entrepreneurs. The findings of the study offer both theoretical and practical implications, while it highlights the role of dark personality traits and their link with the CESE and CEIs.Originality/valueThere is a dearth of literature on CEIs, which this study extends through the dark personality traits (Machiavellianism, narcissism and psychopathy). This study also explored the mediating mechanism of CESE and the conditional role of PT between dark personality traits and CEIs.
Politics-based knowledge legitimation model: power exercise in organizational learning
Authors: Nakanishi Yoshinobu 
Published: December 2022

Purpose
The purpose of this study is to propose a model of knowledge legitimation in organizational learning focusing on the relationship between power politics and legitimacy.

Design/methodology/approach
This study adopts the approach of a conceptual discussion.

Findings
This study developed an organizational learning model that explains how actors exercise their power and how knowledge is legitimated through politics. The author identified various factors that shape the politics; these factors trigger, enhance, facilitate and inhibit power exercise. This study also identified which type of power (influence, force, domination and discipline) leads to which type of legitimacy (pragmatic, moral and cognitive). Furthermore, this study found that power politics and organizational learning are interrelated; actors’ powers bestow legitimacy on knowledge, and knowledge enhances the power of related actors.

Originality/value
This study identified the set of factors that shape actors’ power exercise in organizational learning as well as their associated mechanism and illustrated how they lead to knowledge legitimation. The author also revealed the relationships between actors’ power and legitimacy of knowledge. Finally, this study elaborated on the findings of prior studies concerning politics of organizational learning.
Three cases of refractory bullous pemphigoid in the elderly treated successfully with ultra‐low‐dose rituximab
Authors: Chen Qiang , Hu Bin , Wan Li , Hu Lei , Zhou Xiaoyong , Chen Liuqing , Chen Jinbo 
Published: December 2022

AbstractRituximab has proven effective for the treatment of steroid‐refractory bullous pemphigoid (BP), but there is controversy over the dosing protocol. We report three cases of refractory BP treated successfully with ultra‐low‐dose rituximab (100 mg weekly for 4 weeks). Our cases confirmed the efficacy and good follow‐up outcomes of this treatment strategy for refractory BP. The ultra‐low‐dose rituximab regimen (100 mg weekly for 4 weeks) may be a useful alternative therapy in patients with refractory BP.