bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extensive gene duplication in Arabidopsis revealed by pseudo-heterozygosity
Authors: Jaegle Benjamin , Pisupati Rahul , Soto-Jiménez Luz Mayela , Burns Robin , Rabanal Fernando A. , Nordborg Magnus 
Published: November 2021

AbstractBackgroundIt is apparent that genomes harbor massive amounts of structural variation, and that this variation has largely gone undetected for technical reasons. In addition to being inherently interesting, structural variation can cause artifacts when short-read sequencing data are mapped to a reference genome. In particular, spurious SNPs (that do not show Mendelian segregation) may result from mapping of reads to duplicated regions. Calling SNP using the raw reads of the 1001 Arabidopsis Genomes Project we identified 3.3 million heterozygous SNPs (44% of total). Given that Arabidopsis thaliana (A. thaliana) is highly selfing, we hypothesized that these SNPs reflected cryptic copy number variation, and investigated them further.ResultsThe heterozygosity we observed consisted of particular SNPs being heterozygous across individuals in a manner that strongly suggests it reflects shared segregating duplications rather than random tracts of residual heterozygosity due to occasional outcrossing. Focusing on such pseudo-heterozygosity in annotated genes, we used GWAS to map the position of the duplicates, identifying 2500 putatively duplicated genes. The results were validated using de novo genome assemblies from six lines. Specific examples included an annotated gene and nearby transposon that, in fact, transpose together. Finally, we use existing bisulfite sequencing data to demonstrate that cryptic structural variation can produce highly inaccurate estimates of DNA methylation polymorphism.ConclusionsOur study confirms that most heterozygous SNPs calls in A. thaliana are artifacts, and suggest that great caution is needed when analyzing SNP data from short-read sequencing. The finding that 10% of annotated genes exhibit copy-number variation, and the realization that neither gene- nor transposon-annotation necessarily tells us what is actually mobile in the genome suggest that future analyses based on independently assembled genomes will be very informative.
Interleukin-6 Drives Key Pathologic Outcomes in Experimental Acetaminophen-induced Liver Failure
Authors: Roth Katherine , Strickland Jenna , Gonzalez-Pons Romina , Pant Asmita , Yen Ting-Chieh , Freeborn Robert , Kennedy Rebekah , Bhushan Bharat , Boss Allison , Rockwell Cheryl E. , Dorrance Anne M. , Apte Udayan , Luyendyk James P. , Copple Bryan L. 
Published: November 2021

AbstractBackground and AimsIn severe cases of acetaminophen (APAP) overdose, acute liver injury rapidly progresses to acute liver failure (ALF), producing life-threatening complications including, hepatic encephalopathy (HE) and multi-organ failure (MOF). Systemic levels of interleukin-6 (IL-6) and IL-10 are highest in ALF patients with the most severe complications and the poorest prognosis. The mechanistic basis for dysregulation of these cytokines, and their association with outcome in ALF, remain poorly defined.MethodsTo investigate the impact of IL-6 and IL-10 in ALF, we used an experimental setting of failed liver repair after APAP overdose in which a high dose of APAP is administered (i.e., 500-600 mg/kg). Mice were treated with neutralizing antibodies to block IL-6 and IL-10.ResultsIn mice with APAP-induced ALF, high levels of IL-10 reduced monocyte recruitment and trafficking in the liver resulting in impaired clearance of dead cell debris. Kupffer cells in these mice, displayed features of myeloid-derived suppressor cells, including high level expression of IL-10 and PD-L1, which were increased in an IL-6-dependent manner. Similar to ALF patients with HE, cerebral blood flow was reduced in mice with APAP-induced ALF. Remarkably, although IL-6 is hepatoprotective in mice treated with low doses of APAP (i.e., 300 mg/kg), IL-6 neutralization in mice with APAP-induced ALF fully restored cerebral blood flow and reduced mortality.ConclusionCollectively, these studies demonstrate that exaggerated production of IL-6 in APAP-induced ALF triggers immune suppression (i.e., high levels of IL-10 and PD-L1), reduces cerebral blood flow (a feature of hepatic encephalopathy), disrupts liver repair (i.e., failed clearance of dead cells), and increases mortality.
A cell wall-associated gene network shapes leaf boundary domains
Authors: Bouré Nathalie , Peaucelle Alexis , Goussot Magali , Adroher Bernard , Soubigou-Taconnat Ludivine , Biot Eric , Tariq Zakia , Martin-Magniette Marie-Laure , Laufs Patrick , Arnaud Nicolas 
Published: November 2021

AbstractBoundary domains delimit and organize organ growth throughout plant development almost relentlessly building plant architecture and morphogenesis. Boundary domains display reduced growth and orchestrate development of adjacent tissues in a non-cell autonomous manner. How these two functions are achieved remains elusive despite the identification of several boundary-specific genes. Here, we show using morphometrics at the organ and cellular levels that leaf boundary domain development requires SPINDLY (SPY), an O-fucosyltransferase, to act as cell growth repressor. Further we show that SPY acts redundantly with the CUP-SHAPED COTYLEDON transcription factors (CUC2 and CUC3), which are major determinants of boundaries development. Accordingly at the molecular level, CUC2 and SPY repress a common set of genes involved in cell wall loosening providing a molecular framework for the growth repression associated with boundary domains. Atomic force microscopy (AFM) confirmed that young leaf boundary domain cells have stiffer cell walls than marginal outgrowth. This differential cell wall stiffness was reduced in spy mutant. Taken together our data reveal a concealed CUC2 cell wall associated gene network linking tissue patterning with cell growth and mechanics.Summary statementDecreased cell-wall loosening gene expression contributes to the coordination of cell growth and mechanics with tissue patterning thus driving boundary development.
Effects of hydromagnetic and chemical reaction over a stagnation point flow of horizontal stretching/shrinking cylinder in Ag-CuO/water hybrid nanofluid
Authors: Aladdin Nur Adilah Liyana , Bachok Norfifah 
Published: November 2021

Purpose
This paper aims to explore on stagnation point flow of Ag-CuO/water over a horizontal stretching/shrinking cylinder by adding the effect of chemical reaction, B together with the magnetic field, M.

Design/methodology/approach
A set of reduced ordinary differential equations from the governing equations of partial differential equations is obtained through similarities requirements. The resulting equations are solved using bvp4c in MATLAB2019a. The impact of various physical parameters such as curvature parameter,

ϒ, chemical reaction rate, B, magnetic field, M and Schmidt numbers, Sc on shear stress,

f′′0 local heat flux,

-θ′(0) and mass transfer,

-∅′(0) also for velocity,

f′(η), temperature, θ(η) and concentration, ∅(η) profiles have been plotted and briefly discussed. In this work, some vital characteristics such as local skin friction,

Cf, local Nusselt number,

Nux and local Sherwood number,

Shx are chosen for physical and numerical analysis.

Findings
The findings expose that the duality of solutions appears in a shrinking region (

ε < 0). The value of skin friction, heat transfer rate and mass transfer rate reduction for existing of M, but in contrary result obtain for larger ϒ, B and Sc. Furthermore, the hybrid nanofluid demonstrates better heat transfer compared to nanofluid.

Practical implications
The hybrid nanofluid has widened its applications such as in electronic cooling, manufacturing, automotive, heat exchanger, solar energy, heat pipes and biomedical, as their efficiency in the heat transfer field is better compared to nanofluid.

Originality/value
The findings on stagnation point flow of Ag-CuO/water over a horizontal stretching/shrinking cylinder with the effect of chemical reaction, B and magnetic field, M is new and the originality is preserved for the benefits of future researchers.
A green human resource management approach of participation in decision-making and behavioural outcomes – a moderated mediated model
Authors: Kumar Saraf Pavan , Saha Shilpi , Anand Amitabh 
Published: November 2021

Purpose
This study aims to assess the moderating and mediating role of supportive culture (SC) in the relationship between participation in decision-making (PDM) and job satisfaction (JS) and the dimensions of commitment, such as affective commitment (AC), normative commitment (NC) and continuance commitment (CC).

Design/methodology/approach
Data were collected from 712 employees working in different public sector undertakings (PSUs) across India. Necessary condition analysis and partial least square analysis were used to test the proposed hypotheses.

Findings
The findings of the present study indicated that SC is partially mediating the relationship between PDM and JS; PDM and AC. However, SC did not mediate the relationship between PDM and NC; PDM and CC. PDM was positively and significantly related to SC, JS, AC, NC and CC. JS had a significant impact on AC, NC and CC. It is highly desirable for organizations to retain their employees ranging from line managers to top management levels and provide opportunities for everyone to actively use their experience and expertise.

Originality/value
The findings have implications for managers, as well as employees in PSUs, as they demonstrate how several work-related factors can be emphasized to maintain employees' commitment and motivation. Until now, India has paid scant attention to the role of SC as a mediator and moderator between PDM, JS and multiple commitments. This study cautiously collected responses from unbiased employees working in a variety of organizational functional units.
An examination of the effects of omni-channel service offerings on retailer performance
Authors: Jones Angela L. , Miller Jason W. , Griffis Stanley E. , Whipple Judith M. , Voorhees Clay M. 
Published: November 2021

PurposeBoth online and brick and mortar retailers have invested heavily in developing omni-channel service offerings. Though seen as a competitive necessity, these omni-channel service offerings increase costs and complexities. The purpose of this study is to examine the effects of strategies involving bundles of omni-channel services related to order fulfillment and returns management on retailer performance.Design/methodology/approachArchival data were obtained for 152 retailers and analyzed using ordinary least squares regression. Robustness tests using an alternative dependent variable and a model-based classification strategy corroborate our findings.FindingsRetailers offering full sets of high integration omni-channel services (buy online pick up in store, ship from store and in-store returns) have better performance (e.g. sales, growth and competitive position) and web sales than retailers that offer only a partial mix of these high integration services. Retailers offering a partial bundle of high integration services, in turn, have better performance and web sales than retailers that offer none of these services.Originality/valueThe research extends work that has examined the performance effects of omni-channel services on individual retailers. Our results indicate retailers benefit the most when offering a full set of high integration omni-channel services, suggesting retailers who have only adopted a subset of these services could improve performance through broader adoption of services. The results further indicate partial adoption of high integration services is better than no adoption.
Combating money laundering with machine learning – applicability of supervised-learning algorithms at cryptocurrency exchanges
Authors: Pettersson Ruiz Eric , Angelis Jannis 
Published: November 2021

Purpose
This study aims to explore how to deanonymize cryptocurrency money launderers with the help of machine learning (ML). Money is laundered through cryptocurrencies by distributing funds to multiple accounts and then reexchanging the crypto back. This process of exchanging currencies is done through cryptocurrency exchanges. Current preventive efforts are outdated, and ML may provide novel ways to identify illicit currency movements. Hence, this study investigates ML applicability for combatting money laundering activities using cryptocurrency.

Design/methodology/approach
Four supervised-learning algorithms were compared using the Bitcoin Elliptic Dataset. The method covered a quantitative analysis of the algorithmic performance, capturing differences in three key evaluation metrics of F1-scores, precision and recall. Two complementary qualitative interviews were performed at cryptocurrency exchanges to identify fit and applicability of the algorithms.

Findings
The study results show that the current implemented ML tools for preventing money laundering at cryptocurrency exchanges are all too slow and need to be optimized for the task. The results also show that while not one single algorithm is most suitable for detecting transactions related to money-laundering, the specific applicability of the decision tree algorithm is most suitable for adoption by cryptocurrency exchanges.

Originality/value
Given the growth of cryptocurrency use, this study explores the newly developed field of algorithmic tools to combat illicit currency movement, in particular in the growing arena of cryptocurrencies. The study results provide new insights into the applicability of ML as a tool to combat money laundering using cryptocurrency exchanges.
An evaluation of EIA system performance in Turkey in the context of procedural effectiveness
Authors: Çolakkadıoğlu Deniz 
Published: November 2021

Purpose
In Turkey, where the environmental impact assessment (EIA) has been applied since 1993, there have been numerous amendments in the legal and administrative process of the EIA. This study aims to evaluate the effectiveness of those amendments to the EIA process.

Design/methodology/approach
This paper evaluated EIA system performance in the context of procedural effectiveness in Turkey from the day implementation was begun. From its beginning to the present day, the positive and negative developments at the EIA process in Turkey caused by the amendments were evaluated and at which stages. Measures recommended increasing the effectiveness of each of the EIA systems were also identified.

Findings
As the EIA Directive first came into force in the USA in 1970, EIA procedures have been widely adopted throughout the world. Although it has been implemented for many years, expectations regarding the EIA process have still not been realized which has forced countries to conduct studies to increase the effectiveness of the EIA process. Turkey, like other countries that are implementing the EIA, acknowledges that the EIA is a significant impact assessment tool and continues its studies to implement this system effectively. In this respect, in Turkey, where the EIA has been applied since 1993, there have been numerous amendments in the legal and administrative process of the EIA.

Originality/value
The results obtained from this study were expected to facilitate the evaluation of the EIA process in Turkey and to guide other similar countries.
Prosocial native advertising on social media: effects of ad-context congruence, ad position and ad type
Authors: Huang Yan , Yoon Hye Jin 
Published: November 2021

Purpose
Social media have become an increasingly important venue for prosocial campaigns. Competing for the public’s attention in the digital space is an ongoing challenge. This study aims to test the influence of ad-context congruence, ad position and ad type (i.e. public service advertising [PSA] vs cause-related brand [CRB] advertising) on the effectiveness of prosocial native advertising on social media.

Design/methodology/approach
Two experiments were conducted on different social media platforms (i.e. Twitter and Instagram) with varied prosocial issues (i.e. healthy eating and environmental sustainability).

Findings
Experiment 1 indicated that the congruence between prosocial native ads and social media feeds elicited greater ad involvement and a more favorable ad attitude, regardless of ad position. Experiment 2 revealed that such an impact was contingent on whether the prosocial native ad was a public service ad or a CRB ad. The positive influence of ad-context congruence was pronounced among public service ads but was not observed among CRB ads. Perceived ad involvement mediated the interaction effects between ad-context congruence and ad type on ad attitude and behavioral intention.

Originality/value
The study extends ad-context congruence research to the context of prosocial native advertising on social media. Moreover, it identifies ad type as a boundary condition for the congruence effects and reveals that increased ad involvement is the mechanism underlying the positive effect of congruent PSA.
COVID-19 complications and entrepreneurial intention among the entrepreneurs of Pakistan: evidence from the second wave of the pandemic
Authors: Soomro Bahadur Ali , Shah Naimatullah 
Published: November 2021

Purpose
At present, nearly the whole globe is facing a severe threat of COVID-19. This study aims to examine the COVID-19 complications and entrepreneurial intention among the entrepreneurs of Pakistan.

Design/methodology/approach
The study used a deductive approach. An online survey is conducted to collect cross-sectional data from entrepreneurs of Pakistan. Convenience sampling is applied to target the respondents. In total, 278 usable answers proceed for final analysis. The structural equation model (SEM) is used to infer the results.

Findings
The findings of the study highlight a significant negative effect of fear of COVID-19 (FO19), perceived susceptibility (PSU) and perceived severity (PSE) on entrepreneurial intention (EI) among the entrepreneurs.

Practical implications
The study would provide the guidelines for policymakers and planners to combat the barriers of fear, PSU and PSE during a pandemic. The findings of the second wave of COVID-19 may provide a warning to the government to take preventive measures to face the severe effect of the pandemic. Finally, the outcomes of the study may enrich the depth of COVID-19 literature globally.

Originality/value
This study is the first study highlighting factors such as fear, PSU and PSE toward EI in COVID-19 second wave.
Audit committee characteristics, enterprise risk management and stock price synchronicity
Authors: Ghafoor Zeshan , Ahmed Irfan , Hassan Arshad 
Published: November 2021

PurposeThis study aims to examine the impact of audit committee (AC) characteristics and enterprise risk management (ERM) on stock price synchronicity (SYNCH).Design/methodology/approachBased on a sample of 437 US-based firms over the period 2010 to 2017, the current study uses fixed-effect and ordinary least square to test the formulated hypotheses. Majority of the sample firms are based on the S&P 500 index. This study also performs a battery of robustness checks.FindingsThe authors find that overall female members and female financial experts and female chairpersons of the AC are negatively associated with SYNCH. Similarly, the study endorses the monitoring role of financial experts and the diligence of the AC (threshold of four annual meetings), as both are negatively associated with SYNCH. However, the authors find that the AC chaired by the financial expert is also negative but insignificantly associated with SYNCH. Finally, the study finds that ERM is also negatively linked with SYNCH.Practical implicationsThe findings of the current study offer some important policy implications. For instance, the shareholders can benefit from the monitoring abilities of women and financial experts by increasing their ratio in the AC. The study also offers some useful insights regarding the financial experts and chair of the AC and ERM.Originality/valueThe current study examines the association of AC characteristics with SYNCH, while the prior literature only assesses the impact of various board characteristics (such as size, independence and gender diversity). The study also contributes to the literature of ERM by providing new insights on the influence of the presence of ERM framework/program on SYNCH.
Ni-based alloy 713C manufactured by a selective laser melting method: characteristics of the microstructure
Authors: Duchna Monika , Cieślik Iwona , Kloshek Alexander , Adamczyk-Cieślak Bogusława , Zieniuk Magdalena , Moszczyńska Dorota , Mizera Jarosław 
Published: November 2021

Purpose
The purpose of this paper is to obtain high-temperature-resistant material with high density and to conduct microstructural investigations of 3D-printed Ni-based alloy 713C specimens.

Design/methodology/approach
High-density specimens of Ni-based alloy 713C were obtained by the optimizing selective laser melting (SLM) process parameters and an X-ray diffraction (XRD) analysis confirmed the occurrence of γ and γ′ phases and the presence of carbides in the SLM-manufactured Ni-based alloy 713C. The analysis of electron backscatter diffraction (EBSD) studies suggested a preferred 〈100〉 direction orientation and low angle misorientation for the SLM specimens.

Findings
The high-density specimens of Ni-based alloy 713C were obtained by the optimized SLM process parameters. XRD analysis confirmed the presence of γ and γ′ phases and carbides in the SLM-manufactured Ni-based alloy 713C. Analysis of EBSD studies suggested a preferred 〈100〉 direction orientation and low angle misorientation for the SLM specimen.

Originality/value
In this study, 3D-printed Ni-based alloy 713C with a high density of 99% was obtained for the first time, to the best of the authors’ knowledge.
Enhancing Ensemble Seasonal Streamflow Forecasts in the Upper Colorado River Basin Using Multi‐Model Climate Forecasts
Authors: Baker Sarah A. , Rajagopalan Balaji , Wood Andrew W. 
Published: November 2021

AbstractIn the Colorado River Basin (CRB), ensemble streamflow prediction (ESP) forecasts drive operational planning models that project future reservoir system conditions. CRB operational seasonal streamflow forecasts are produced using ESP, which represents climate using an ensemble of meteorological sequences of historical temperature and precipitation, but do not typically leverage additional real‐time subseasonal‐to‐seasonal climate forecasts. Any improvements to streamflow forecasts would help stakeholders who depend on operational projections for decision making. We explore incorporating climate forecasts into ESP through variations on an ESP trace weighting approach, focusing on Colorado River unregulated inflows forecasts to Lake Powell. The k‐nearest neighbors (kNN) technique is employed using North American Multi‐Model Ensemble one‐ and three‐month temperature and precipitation forecasts, and preceding three‐month historical streamflow, as weighting factors. The benefit of disaggregated climate forecast information is assessed through the comparison of two kNN weighting strategies; a basin‐wide kNN uses the same ESP weights over the entire basin, and a disaggregated‐basin kNN applies ESP weights separately to four subbasins. We find in general that climate‐informed forecasts add greater marginal skill in late winter and early spring, and that more spatially granular disaggregated‐basin use of climate forecasts slightly improves skill over the basin‐wide method at most lead times.