bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic and chemical diversity ofBacillus subtilissecondary metabolites against plant pathogenic fungi
Authors: Kiesewalter Heiko T. , Lozano-Andrade Carlos N. , Wibowo Mario , Strube Mikael L. , Maróti Gergely , Snyder Dan , Jørgensen Tue Sparholt , Larsen Thomas O. , Cooper Vaughn S. , Weber Tilmann , Kovács Ákos T. 
Published: August 2020

ABSTRACTBacillus subtilisproduces a wide range of secondary metabolites providing diverse plant-growth-promoting and biocontrol abilities. These secondary metabolites include non-ribosomal peptides (NRPs) with strong antimicrobial properties, causing either cell lysis, pore formation in fungal membranes, inhibition of certain enzymes, or bacterial protein synthesis. However, the natural products ofB. subtilisare mostly studied either in laboratory strains or in individual isolates and therefore, a comparative overview ofB. subtilissecondary metabolites is missing.In this study, we have isolated 23B. subtilisstrains from eleven sampling sites, compared the fungal inhibition profiles of wild types and their NRPs mutants, followed the production of targeted lipopeptides, and determined the complete genomes of 13 soil isolates. We discovered that non-ribosomal peptide production varied amongB. subtilisstrains co-isolated from the same soil samples.In vitroantagonism assays revealed that biocontrol properties depend on the targeted plant pathogenic fungus and the testedB. subtilisisolate. While plipastatin alone is sufficient to inhibitFusariumsp., a combination of plipastatin and surfactin is required to hinder the growth ofBotrytis cinerea. Detailed genomic analysis revealed that altered NRP production profiles in certain isolates is due to missing core genes, nonsense mutation, or potentially altered gene regulation.Our study combines microbiological antagonism assays with chemical NRPs detection and biosynthetic gene cluster predictions in diverseB. subtilissoil isolates to provide a broader overview of the secondary metabolite chemodiversity ofB. subtilis.IMPORTANCESecondary or specialized metabolites with antimicrobial activities define the biocontrol properties of microorganisms. Members of theBacillusgenus produce a plethora of secondary metabolites, of which non-ribosomally produced lipopeptides in particular display strong antifungal activity. To facilitate prediction of the biocontrol potential of newBacillus subtilisisolates, we have explored thein vitroantifungal inhibitory profiles of recentB. subtilisisolates, combined with analytical natural product chemistry, mutational analysis, and detailed genome analysis of biosynthetic gene clusters. Such a comparative analysis helped to explain why selectedB. subtilisisolates lack production of certain secondary metabolites.
Epitomic analysis of the specificity of conformation-dependent, anti-Aß amyloid monoclonal antibodies
Authors: Reyes-Ruiz Jorge Mauricio , Nakajima Rie , Baghallab Ibtisam , Goldschmidt Luki , Sosna Justyna , Mai Ho Phuong Nguyen , Kumosani Taha , Felgner Philip L. , Glabe Charles 
Published: August 2020

AbstractAntibodies against Aß amyloid are indispensable research tools and potential therapeutics for Alzheimer’s Disease, but display several unusual properties, such as specificity for aggregated forms of the peptide, ability to distinguish polymorphic aggregate structures and ability to recognize generic aggregation-related epitopes formed by unrelated amyloid sequences. Understanding the mechanisms underlying these unusual properties of anti-amyloid antibodies and the structures of their corresponding epitopes is crucial for the understanding why antibodies display different therapeutic activities and for the development of more effective therapeutic agents. Here we employed a novel “epitomic” approach to map the fine structure of the epitopes of 28 monoclonal antibodies against amyloid-beta using immunoselection of random sequences from a phage display library, deep sequencing and pattern analysis to define the critical sequence elements recognized by the antibodies. Although most of the antibodies map to major linear epitopes in the amino terminal 1-14 residues of Aß, the antibodies display differences in the target sequence residues that are critical for binding and in their individual preferences for non-target residues, indicating that the antibodies bind to alternative conformations of the sequence by different mechanisms. Epitomic analysis also identifies more discontinuous, non-overlapping sequence Aß segments than peptide array approaches that may constitute the conformational epitopes that underlie the aggregation specificity of antibodies. Aggregation specific antibodies recognize sequences that display a significantly higher predicted propensity for forming amyloid than antibodies that recognize monomer, indicating that the ability of random sequences to aggregate into amyloid is a critical element of their binding mechanism.
Alveolitis in severe SARS-CoV-2 pneumonia is driven by self-sustaining circuits between infected alveolar macrophages and T cells
Authors: Grant Rogan A. , Morales-Nebreda Luisa , Markov Nikolay S. , Swaminathan Suchitra , Guzman Estefany R. , Abbott Darryl A. , Donnelly Helen K. , Donayre Alvaro , Goldberg Isaac A. , Klug Zasu M. , Borkowski Nicole , Lu Ziyan , Kihshen Hermon , Politanska Yuliya , Sichizya Lango , Kang Mengjia , Shilatifard Ali , Qi Chao , Argento A. Christine , Kruser Jacqueline M. , Malsin Elizabeth S. , Pickens Chiagozie O. , Smith Sean , Walter James M. , Pawlowski Anna E. , Schneider Daniel , Nannapaneni Prasanth , Abdala-Valencia Hiam , Bharat Ankit , Gottardi Cara J. , Budinger GR Scott , Misharin Alexander V. , Singer Benjamin D. , Wunderink Richard G. ,   for The NU SCRIPT Study Investigators
Published: August 2020

AbstractSome patients infected with Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) develop severe pneumonia and the acute respiratory distress syndrome (ARDS) [1]. Distinct clinical features in these patients have led to speculation that the immune response to virus in the SARS-CoV-2-infected alveolus differs from other types of pneumonia [2]. We collected bronchoalveolar lavage fluid samples from 86 patients with SARS-CoV-2-induced respiratory failure and 252 patients with known or suspected pneumonia from other pathogens and subjected them to flow cytometry and bulk transcriptomic profiling. We performed single cell RNA-Seq in 5 bronchoalveolar lavage fluid samples collected from patients with severe COVID-19 within 48 hours of intubation. In the majority of patients with SARS-CoV-2 infection at the onset of mechanical ventilation, the alveolar space is persistently enriched in alveolar macrophages and T cells without neutrophilia. Bulk and single cell transcriptomic profiling suggest SARS-CoV-2 infects alveolar macrophages that respond by recruiting T cells. These T cells release interferon-gamma to induce inflammatory cytokine release from alveolar macrophages and further promote T cell recruitment. Our results suggest SARS-CoV-2 causes a slowly unfolding, spatially-limited alveolitis in which alveolar macrophages harboring SARS-CoV-2 transcripts and T cells form a positive feedback loop that drives progressive alveolar inflammation.This manuscript is accompanied by an online resource:https://www.nupulmonary.org/covid-19/One sentence summarySARS-CoV-2-infected alveolar macrophages form positive feedback loops with T cells in patients with severe COVID-19.
Tracking H3K27me3 and H4K20me1 during XCI reveals similarities in enrichment dynamics
Authors: Tjalsma Sjoerd J. D. , Hori Mayako , Sato Yuko , Bousard Aurelie , Ohi Akito , Raposo Ana Cláudia , Roensch Julia , Le Saux Agnes , Nogami Jumpei , Maehara Kazumitsu , Kujirai Tomoya , Handa Tetsuya , Bagés-Arnal Sandra , Ohkawa Yasuyuki , Kurumizaka Hitoshi , da Rocha Simão Teixeira , Żylicz Jan J. , Kimura Hiroshi , Heard Edith 
Published: August 2020

AbstractDuring X chromosome inactivation (XCI), in female placental mammals, gene silencing is initiated by theXistlong-noncoding RNA.Xistaccumulation at the X leads to enrichment of specific chromatin marks, including PRC2-dependent H3K27me3 and SETD8-dependent H4K20me1. However, the dynamics of this process in relation toXistRNA accumulation remains unknown as is the molecular mechanism allowing for H4K20me1 enrichment. To follow XCI dynamics in living cells, we developed a genetically-encoded, H3K27me3-specific intracellular antibody, or H3K27me3-mintbody. By combining it with live-imaging of H4K20me1, the X chromosome andXistRNA we uncover similarities in the initial accumulation dynamics of H3K27me3 and H4K20me1. Further ChIP-seq analysis confirmed concurrent accumulation of both marks during XCI albeit with distinct genomic distributions. Using aXistB and C repeat mutant, which can silence the X but does not allow for H3K27me3 deposition, we also found a lack of H4K20me1 enrichment. Thus, these two marks accumulate at the X thanks to the same region ofXistand H4K20me1 in particular may have a role in the chromatin compaction that characterises facultative heterochromatin.
Lead emissions from the use of leaded avgas in Turkey
Authors: Altuntas Onder 
Published: August 2020

Purpose
This study aims to present the impact of using leaded avgas in piston-prop aircraft, in Turkey.

Design/methodology/approach
Increasing air traffic directly increases the total amount of consumed aviation fuels (kerosene or avgas). The number of aircraft and traffic that will increase soon will further increase fuel consumption. For this reason, aircraft power generation methods (long term) must be changed or the fuel must be improved (short term). The avgas used in piston-prop aircraft is known to contain lead and as a result, the production or consumption of avgas has adverse effects on human health, the ecosystem quality and resources.

Findings
The overall human health impact, ecosystem quality impact and resource impact in Turkey were determined to be 2.83 disability-adjusted life years, 1.21 × 10−04 species.yr and $138, respectively. According to the results, although the normalized total effect of Turkey was calculated as 208.18 nkg, 43.89% of the total was observed in the Marmara region.

Originality/value
The originality is the use of real-time values for all calculations. For the purpose of showing the most impacted or damaged regions in Turkey via a life cycle analysis, a new definition, the normalized total effect in nkg, is defined in this study.
Heterogeneous beliefs and idiosyncratic volatility puzzle: evidence from China
Authors: He Mao , Huang Juncheng , Zhu Hongquan 
Published: August 2020

PurposeThe purpose of our study is to explore the “idiosyncratic volatility puzzle” in Chinese stock market from the perspective of investors' heterogeneous beliefs. To delve into the relationship between idiosyncratic volatility and investors' heterogeneous beliefs, and uncover the ability of heterogeneous beliefs, as well as to explain the “idiosyncratic volatility puzzle”, we construct our study as follows.Design/methodology/approachOur study adopts the unexpected trading volume as proxies of heterogeneity, the residual of Fama–French three-factor model as proxies of idiosyncratic volatility. Portfolio strategies and Fama–MacBeth regression are used to investigate the relationship between the two proxies and stock returns in Chinese A-share market.FindingsInvestors' heterogeneous beliefs, as an intermediary variable, are positively correlated with idiosyncratic volatility. Meanwhile, it could better demonstrate the negative correlation between the idiosyncratic volatility and future stock returns. It is one of the economic mechanisms linking idiosyncratic volatility to subsequent stock returns, which can account for 11.28% of the puzzle.Originality/valueThe findings indicate that idiosyncratic volatility is significantly and positively correlated with heterogeneous beliefs and that heterogeneous beliefs are effective intervening variables to explain the “idiosyncratic volatility puzzle”.
The relationship between environmental degradation, energy use and economic growth in Nigeria: new evidence from non-linear ARDL
Authors: Musibau Hammed Oluwaseyi , Shittu Waliu Olawale , Ogunlana Fatai Olarewaju 
Published: August 2020

Purpose
The purpose of this paper is to study the relationship among environmental degradation, energy use and economic growth, thus lending a voice to testing the relevance, or otherwise, of the environmental Kuznets curve (EKC) hypothesis in Nigeria.

Design/methodology/approach
The authors rely on the secondary data obtained from World Bank’s World Development Indicators for Nigeria, between 1981 and 2014. The non-linear autoregressive distributed lag (ARDL) technique is used after examining the unit root properties – using the augmented Dickey–Fuller and Phillips–Perron methods – and the long-run relationship – using the ARDL bounds approach to estimate the asymmetries in the effects of economic growth on the environment.

Findings
The findings of this study uphold the relevance of the EKC hypothesis in Nigeria, as the growth of GDP first reduces the environmental quality but raises it over time. Furthermore, the use of energy is found to deteriorate environmental quality, given that CO2 rises by 0.002% for a unit increase in the consumption of energy in Nigeria.

Research limitations/implications
A limitation to this research is the data coverage, which is just between 1981 and 2014, based on availability. One other limitation is the use of electric power consumption as a proxy for energy use (because of the difficulty in obtaining accurate data on energy consumption in Nigeria). Future research should, therefore, test different other proxies, to either agree with the findings or justify any deviation therefrom. Also, the use of up-to-date data is recommended as an improvement to this study, while a non-linear technique should be used on studies involving the panel of countries.

Originality/value
Many studies have examined this relationship by simply taking the square of GDP as a measure of its non-linear effect on the environment. The authors are one of the first who consider the asymmetric effect of economic growth on the environment through the non-linear ARDL technique. With this, the partial sums of positive and negative changes in economic growth on the environment are easily established.
Corporate social responsibility reporting of local oil companies in Nigeria
Authors: Odera Odhiambo 
Published: August 2020

Purpose
The purpose of this paper is to analyze annual reports through content analysis. Corporate social responsibility reporting (CSRR) extent and type are measured by the number of sentences. CSRR are further classified into three subcategories according to whether they are negative, neutral or positive reports and then their proportions compared through descriptive analysis.

Design/methodology/approach
This paper seeks to examine and identify factors influencing CSRR practices of local oil companies (LOCs) in Nigeria. It aims at distinguishing CSRR levels by examining both the quantity and quality of reporting.

Findings
For the extent of CSRR, employee-related information was the most reported category with community reports being of greater quality in the LOCs. The majority of the total CSRR in the LOCs was positive with very little evidence of negative news.

Research limitations/implications
The measurement of CSRR focuses only on annual reports, without consideration of other reporting media, such as standalone reports. CSRR are assumed to be voluntary for the companies, and they may choose not to report any information in annual reports, as there are no regulations or reporting guidelines in Nigeria to be followed.

Originality/value
The main contribution of this study lies in identifying the factors that have led to diversity and uniqueness in CSRR in LOCs. As such, this study seeks to contribute to the development of understanding multiple factors that could give rise to changing patterns of CSRR.
Research on the influence of ground effect on the performance of robotic fish propelled by oscillating paired pectoral fins
Authors: Ma Hongwei , Ren Shuai , Wang Junxiang , Ren Hui , Liu Yang , Bi Shusheng 
Published: August 2020

Purpose
This paper aims to carry out the research on the influence of ground effect on the performance of robotic fish propelled by oscillating paired pectoral fins.

Design/methodology/approach
The two-dimensional ground effect model of the oscillating pectoral fin without considering flexible deformation is established by introducing a two-dimensional fluid ground effect model. The parameters of the influence of ground effect on the oscillating pectoral fin are analyzed. Finally, the ground effect test platform is built, and a series of hydrodynamic experiments are carried out to study the influence of ground effect on the propulsion performance of the robotic fish propelled by oscillating paired pectoral fins under different motion parameters.

Findings
The thickness of the trailing edge and effective clearance are two important parameters that can change the influence of ground effect on the rigid pectoral fin. The experimental results are consistent with that obtained through theoretical analysis within a certain extent, which indicates that the developed two-dimensional ground effect model in this paper can be used to analyze the influence of ground effect on the propulsion performance of the oscillating pectoral fin. The experiment results show that the average thrust increases with the decreasing distance between the robot fish and the bottom. Meanwhile, with the increase of oscillation frequency and amplitude, the average thrust increases gradually.

Originality/value
The developed two-dimensional ground effect model provides the theoretical basis for the further research on the influence of ground effect on the propulsion performance of the oscillating pectoral fin. It can also be used in the design of the bionic pectoral fins.
Big data management and environmental performance: role of big data decision-making capabilities and decision-making quality
Authors: Nisar Qasim Ali , Nasir Nadia , Jamshed Samia , Naz Shumaila , Ali Mubashar , Ali Shahzad 
Published: August 2020

PurposeThis study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.Design/methodology/approachThe target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.FindingsFindings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.Practical implicationsThis study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.Originality/valueThe proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.
Alternative measures for predicting financial distress in the case of Malaysian Islamic banks: assessing the impact of global financial crisis
Authors: Asutay Mehmet , Othman Jaizah 
Published: August 2020

Purpose
The global financial crisis of 2008 still has an impact on the financial systems around the world, for which funding liquidity has been mentioned as one of the main concerns during that period. This study aims to consider the impact of and extent to which the funding structure of Islamic banks along with deposit structure, macroeconomic variables, other bank-specific variables, including alternative funding mix variables (in terms of funding structure measured as financing/deposit ratio), could play a part in explaining the financial conditions and predicting the failures and performances of Islamic banks in the case of Malaysia under the distress created by the global financial crisis.

Design/methodology/approach
Multivariate logit model was used with a sample including 17 full-fledged Islamic banks in Malaysia for the period from December 2005 to September 2010 by using quarterly data.

Findings
This study found that the funding mix variable (financing/deposit ratio), the composition of deposits, alternative bank-specific variables and alternative funding mix variables are statistically significant. In contrast, none of the macroeconomic variables is found to have a significant impact on bank liquidity. In the final models, the variables that showed significant performance were selected as explanatory variables. The results of McFadden R-squared for both selected models showed an excellent fit to predict the Islamic banks’ performance.

Originality/value
This empirical study contributes to the literature in two ways: to the best of the authors’ knowledge, this is the first study to examine the role of the funding structures of Islamic banks in determining their performance; and it also examines the effect of deposit composition (the mudharabah and non-mudharabah deposits) on Islamic banks’ performance.
Knowledge acquisition efficiency, strategic renewal frequency and firm performance in high velocity environments
Authors: Shin Kilho , Pérez-Nordtvedt Liliana 
Published: August 2020

PurposeThe purpose of this study is to investigate what type of knowledge enhances the frequency of strategic renewal for organizations operating in high velocity environments. It also investigates whether strategic renewal frequency is beneficial, rather than harmful in such environments.Design/methodology/approachThe study followed a two-step data collection process involving pilot interviews and an on-site survey data collection procedure. The authors first conducted face-to-face pilot interviews with 16 fashion retailers lasting 30 min to 2 h. They then tested their hypotheses by using a sample of 152 South Korean fashion retailers, as the fashion industry is a prototypical high velocity environment.FindingsFirms that have a higher rate of strategic renewal frequency outperform those with a lower one. Moreover, the frequency of strategic renewal mitigates the ill effects of lack of legitimacy not imbued by a franchisor’s backing. Finally, firms can increase the frequency of their strategic renewal efforts by accessing knowledge from their main customers more efficiently.Originality/valueThe results of this study provide a refined picture of the role of knowledge acquisition efficiency and strategic renewal frequency in the pursuit of competitive advantage in high velocity environments.