bluuebunny/crossref_metadata_2025_split huggingface dataset:
The pH Dependence of Niclosamide Solubility, Dissolution, and Morphology Motivates Potentially Universal Mucin-Penetrating Nasal and Throat Sprays for COVID19, its Contagious Variants, and Other Respiratory Viral Infections
Authors: Needham David 
Published: August 2021

AbstractMotivationWith the coronavirus pandemic still raging, prophylactic nasal and early treatment throat sprays could help prevent infection and reduce viral load. Niclosamide has the potential to treat a broad range of viral infections if local bioavailability is optimized as mucin-penetrating solutions as opposed to more traditional microparticle-based sprays that cannot penetrate the mucin.ExperimentalpH-dependence of supernatant concentrations and dissolution rates of niclosamide were measured in buffered solutions by Nanodrop-UV/Vis-spectroscopy for niclosamide from different suppliers, as precipitated material, and as cosolvates. Data was compared to predictions from Henderson Hasselbalch and precipitation pH models. Optimal microscopy was used to observe the morphologies of precipitated and converted niclosamide.ResultsSupernatant-concentrations of niclosamide increased with increasing pH, from 1.77uM at pH 3.66 to 30uM at pH 8, and more rapidly from 90uM at pH8.5 to 300uM at pH 9.1, reaching 641uM at pH 9.5. Logarithmic rates for dissolution increased by ∼3x for pHs 8.62 to 9.44. However, when precipitated from supersaturated solution, niclosamide equilibrated to much lower final supernatant concentrations, reflective of more stable polymorphs at each pH that were also apparent for niclosamide from other suppliers and cosolvates.ConclusionsGiven niclosamide’s activity against COVID19, its more contagious variants, and other respiratory viral infections, these niclosamide solutions, that put the virus in lockdown, could represent universal prophylactic nasal and early treatment throat sprays. As solutions they would be the simplest and potentially most effective formulations from both an efficacy standpoint as well as manufacturing and distribution, with no cold chain. They now just need testing.
Antibody Responses 3-5 Months Post-Vaccination with mRNA-1273 or BNT163b2 in Nursing Home Residents
Authors: Breznik Jessica A. , Zhang Ali , Huynh Angela , Miller Matthew S. , Nazy Ishac , Bowdish Dawn M. E. , Costa Andrew P. ,   for the COVID-in-LTC Study Group
Published: August 2021

AbstractNursing home residents often fail to mount robust responses to vaccinations and recent reports of breakthrough infections, particularly from variants of concern, raise questions about whether vaccination regimens elicit a sufficient humoral immune response or if booster doses are warranted. We examined SARS-CoV-2 antibody levels and neutralizing capacity in nursing home residents 3-5 months after 2 doses of mRNA-1273 or BNT163b2 vaccination as per recommended schedules.Nursing home residents were recruited from eight long-term care homes in Ontario, Canada, between March and July 2021. Antibody levels and neutralization capacity from a previously published convalescent cohort were used as a comparator. Serum SARS-CoV-2 IgA/G/M against spike (S) protein and its receptor-binding domain (RBD) were measured by validated ELISA, with assay cut-off at the mean and 3 standard deviations of a pre-COVID-19 population from the same geographic region. Antibody neutralization was measured against the wild-type strain of SARS-CoV-2 and the beta variant of concern (B.1.351).No neutralizing antibodies were detected in ∼20% of residents to the wild-type virus (30/155; 19%) or beta variant (27/134; 20%). Residents that received BNT163b2 had a ∼4-fold reduction in neutralization to the wild-type strain, and a ∼2-fold reduction in neutralization to the beta variant relative to those who received mRNA-1273.Current mRNA SARS-CoV-2 vaccine regimens may not have equivalent efficacy in nursing home residents. Our findings imply that differences in the humoral immune response may contribute to breakthrough infections, and suggest that consideration of the type of vaccine administered to older adults will have a positive impact on the generation of protective immunity.
Istaroxime metabolite PST3093 selectively stimulates SERCA2a and reverses disease-induced changes in cardiac function
Authors: Arici Martina , Ferrandi Mara , Barassi Paolo , Hsu Shih-Che , Torre Eleonora , Luraghi Andrea , Ronchi Carlotta , Chang Gwo-Jyh , Peri Francesco , Ferrari Patrizia , Bianchi Giuseppe , Rocchetti Marcella , Zaza Antonio 
Published: August 2021

AbstractBackgroundHeart failure (HF) therapeutic toolkit would strongly benefit from the availability of ino-lusitropic agents with a favorable pharmacodynamics and safety profile. Istaroxime is a promising agent, which combines Na+/K+ pump inhibition with SERCA2a stimulation; however, it has a very short half-life and extensive metabolism to a molecule, named PST3093. The present work aims to investigate whether PST3093, still retains the pharmacodynamic and pharmacokinetic properties of its parent compound.MethodsWe studied PST3093 for its effects on SERCA2a and Na+/K+ ATPase activities, Ca2+ dynamics in isolated myocytes and hemodynamic effects in an in-vivo rat model of diabetic (streptozotocin (STZ)-induced) cardiomyopathy.ResultsIstaroxime infusion in HF patients led to accumulation of PST3093 in the plasma; clearance was substantially slower for PST3093 than for istaroxime. In cardiac rat preparations PST3093 did not inhibit the Na+/K+ ATPase activity, but retained SERCA2a stimulatory activity. In in-vivo echocardiographic assessment, PST3093 improved overall cardiac performance and reversed most STZ-induced abnormalities. PST3093 i.v. toxicity was considerably lower than that of istaroxime and it failed to significantly interact with 50 off-targets.ConclusionsOverall, PST3093 is a “selective” SERCA2a activator, the prototype of a novel pharmacodynamic category with a potential in the ino-lusitropic approach to HF with prevailing diastolic dysfunction. Its pharmacodynamics are peculiar and its pharmacokinetics are suitable to prolong the cardiac beneficial effect of istaroxime infusion.Graphical abstract
Playing with FiRE: A genome resolved view of the soil microbiome responses to high severity forest wildfire
Authors: Nelson Amelia R. , Narrowe Adrienne B. , Rhoades Charles C. , Fegel Timothy S. , Daly Rebecca A. , Roth Holly K. , Chu Rosalie K. , Amundson Kaela K. , Geonczy Sara E. , Emerson Joanne B. , Young Robert B. , Steindorff Andrei S. , Mondo Stephen J. , Grigoriev Igor V. , Salamov Asaf , Borch Thomas , Wilkins Michael J. 
Published: August 2021

AbstractWarming climate has increased the frequency and size of high severity wildfires in the western United States, with deleterious impacts on forest ecosystem resilience. Although forest soil microbiomes provide a myriad of ecosystem functions, little is known regarding the impact of high severity fire on microbially-mediated processes. Here, we characterized functional shifts in the soil microbiome (bacterial, fungal, and viral) across wildfire burn severity gradients one year post-fire in coniferous forests (Colorado and Wyoming, USA). We generated the Fire Responding Ecogenomic database (FiRE-db), consisting of 637 metagenome-assembled bacterial genomes, 2490 viral populations, and 2 fungal genomes complemented by 12 metatranscriptomes from soils affected by low and high-severity, and complementary marker gene sequencing and metabolomics data. Actinobacteria dominated the fraction of enriched and active taxa across burned soils. Taxa within surficial soils impacted by high severity wildfire exhibited traits including heat resistance, sporulation and fast growth that enhanced post-fire survival. Carbon cycling within this system was predicted to be influenced by microbial processing of pyrogenic compounds and turnover of dominant bacterial community members by abundant viruses. These genome-resolved analyses across trophic levels reveal the complexity of post-fire soil microbiome activity and offer opportunities for restoration strategies that specifically target these communities.
BioSANS: A Software Package for Symbolic and Numeric Biological Simulation
Authors: Fajiculay Erickson , Hsu Chao-Ping 
Published: August 2021

AbstractModeling biochemical systems can provide insights into behaviors that are difficult to observe or understand. It requires software, programming, and understanding of the system to build a model and study it. Softwares exist for systems biology modeling, but most support only certain types of modeling tasks. Desirable features including ease in preparing input, symbolic or analytical computation, parameter estimation, graphical user interface, and systems biology markup language (SBML) support are not seen concurrently in one software package. In this study, we developed a python-based software that supports these features, with both deterministic and stochastic propagations. The software can be used by graphical user interface, command line, or as a python import. We also developed a semi-programmable and intuitively easy topology input method for the biochemical reactions. We tested the software with semantic and stochastic SBML test cases. Tests on symbolic solution and parameter estimation were also included. The software we developed is reliable, well performing, convenient to use, and compliant with most of the SBML tests. So far it is the only systems biology software that supports symbolic, deterministic, and stochastic modeling in one package that also features parameter estimation and SBML support. This work offers a comprehensive set of tools and allows for better availability and accessibility for studying kinetics and dynamics in biochemical systems.
Consumer attitudes towards leftover food takeout interventions: a case study of the doggy bag in Japan
Authors: Billore Soniya , Kobayashi Tomio , Wang Ou 
Published: August 2021

PurposeThe purpose is to explore consumer acceptance of the doggy bag as an intervention to promote sustainable food consumption. In particular, it explores consumer attitudes towards taking home the leftover food from eating out at restaurants as a way of sustainable consumption.Design/methodology/approachA consumer survey to explore consumer attitudes, followed by an investigation of the media communications that promote the doggy bag as a tool to reduce food wastage.FindingsStrategic communication was employed in an inclusive approach to increase the impact of the doggy bag on consumer behaviour. Consumers show a positive inclination towards using the doggy bag to take home the leftovers of their restaurant meals and reduce food wastage. Cultural biases can cause hurdles in the acceptance of the tool.Originality/valueTo the best of the author's knowledge, this is the first study to approach the behavioural analysis of leftover food takeout interventions studied from the consumer perspective. Furthermore, it is based on a novel approach of experimental methods at ready-to-eat food outlets for communicating with consumers.
Corporate governance and generalist CEOs: evidence from board size
Authors: Chatjuthamard Pattanaporn , Ongsakul Viput , Jiraporn Pornsit , Uyar Ali 
Published: August 2021

PurposeThe purpose of this study is to contribute to the debate in the literature about generalist CEOs by exploring the effect of board governance on CEO general managerial ability, focusing on one of the most crucial aspects of the board of directors, board size. Prior research shows that smaller boards constitute a more effective governance mechanism and therefore are expected to reduce agency costs.Design/methodology/approachThe authors estimate the effect of board size on CEO general managerial ability, using a fixed-effects regression analysis, propensity score matching, as well as an instrumental-variable analysis. These techniques mitigate endogeneity greatly and make the results much more likely to show causality.FindingsThe results show that firms with smaller board size are more likely to hire generalist CEOs. Specifically, a decline in board size by one standard deviation raises CEO general managerial ability by 15.62%. A lack of diverse experiences in a small board with fewer directors makes it more necessary to hire a CEO with a broad range of professional experiences. Furthermore, the agency costs associated with generalist CEOs are greatly diminished in firms with a smaller board. Hence, firms with a smaller board are more inclined to hire generalist CEOs.Originality/valueAlthough prior research has explored the effects of board size on various corporate outcomes, strategies and policies, this study is the first to investigate the effect of board size on CEO general managerial ability. This study contributes to the literature both in corporate governance and on CEO general managerial ability.
Corporate governance and firm performance: empirical evidence from Pakistan
Authors: Farooq Muhammad , Noor Amna , Ali Shoukat 
Published: August 2021

PurposeThe purpose of this research is to look into the governance–performance relationship in the context of critical firm characteristics, such as firm size.Design/methodology/approachBased on total assets, sample firms were classified as small or large. The governance index, which is based on 29 governance provisions covering the audit committee, board committee, ownership and compensation structure of the respective firm, measures governance quality among sample firms. A higher governance index indicates a higher level of governance quality and vice versa. Accounting and market value measures are used to determine firm profitability. The authors used the two-stage least square (2SLS) method of estimation of the model to eliminate the simultaneous equation bias.FindingsCorporate governance (CG) appears to have a positive impact on accounting return and market indices (Tobin’s Q), but it has little impact on return on equity. In terms of firm size, larger companies profited more from better governance implementation than smaller firms that lacked these principles, thus improving CG. The findings indicate that small businesses should improve their governance mechanisms to reap the benefits of CG in terms of increased profitability.Research limitations/implicationsThere are certain drawbacks to this research. First, the authors omitted qualitative aspects of CG from the CG index, such as the board’s decision-making process, directors’ perceptions of the board’s position and directors’ age and qualifications. Such a qualitative component will improve the governance index in the future while building the governance index. Second, as the current study only looks at the nonfinancial sector, caution should be exercised before applying the findings to the entire population.Practical implicationsThe findings show that companies that follow good governance standards have better accounting and market efficiency than those that do not. As a result, good governance practices can help firms in developing countries improve their performance. Academic researchers, regulators, investors, lenders and practitioners can find the findings useful in establishing a true relationship between firm performance and CG practices in Pakistan.Originality/valueThe relationship between governance and profitability in the context of firm size is examined in this research. Firms with varying resources and ability to implement CG codes have varying effects on profitability. To the authors’ knowledge, there was a gap in the literature that addressed this topic in the local context.
The heterogeneous effect of governance mechanisms on zero-leverage phenomenon across financial systems
Authors: Morais Flávio , Serrasqueiro Zélia , Ramalho Joaquim J.S. 
Published: August 2021

Purpose
The purpose of this paper is to investigate whether the effect of country and corporate governance mechanisms on zero leverage is heterogeneous across market- and bank-based financial systems.

Design/methodology/approach
Using logit regression methods and a sample of listed firms from 14 Western European countries for the 2002–2016 period, this study examines the propensity of firms having zero leverage in different financial systems.

Findings
Country governance mechanisms have a heterogeneous effect on zero leverage, with higher quality mechanisms increasing zero-leverage propensity in bank-based countries and decreasing it in market-based countries. Board dimension and independency have no impact on zero leverage. A higher ownership concentration decreases the propensity for zero-leverage policies in bank-based countries.

Research limitations/implications
This study’s findings show the importance of considering both country- and firm-level governance mechanisms when studying the zero-leverage phenomenon and that the effect of those mechanisms vary across financial and legal systems.

Practical implications
For managers, this study suggests that stronger national governance makes difficult (favours) zero-leverage policies in market (bank)-based countries. In bank-based countries, it also suggests that the presence of shareholders that own a large stake makes the adoption of zero-leverage policies difficult. This last implication is also important for small shareholders by suggesting that investing in firms with a concentrated ownership reduces the risk that zero-leverage policies are adopted by entrenched reasons.

Originality/value
To the best of the authors’ knowledge, this is the first study to consider simultaneously the effects of both country- and firm-level governance mechanisms on zero leverage and to allow such effects to vary across financial systems.
DroneSim: a VR-based flight training simulator for drone-mediated building inspections
Authors: Albeaino Gilles , Eiris Ricardo , Gheisari Masoud , Issa Raja Raymond 
Published: August 2021

PurposeThis study aims to explore DroneSim, a virtual reality (VR)-based flight training simulator, as an alternative for real-world drone-mediated building inspection training.Design/methodology/approachConstruction, engineering and management students were asked to pilot drones in the VR-based DroneSim space and perform common flight operations and inspection tasks within the spatiotemporal context of a building construction project. Another student group was also recruited and asked to perform a similar building inspection task in real world. The National Aeronautics and Space Administration (NASA)–Task Load Index (TLX) survey was used to assess students’ inflight workload demand under both Real and DroneSim conditions. Post-assessment questionnaires were also used to analyze students’ feedback regarding the usability and presence of DroneSim for drone building inspection training.FindingsNone of the NASA–TLX task load levels under Real and DroneSim conditions were highly rated by students, and both groups experienced comparable drone-building inspection training. Students perceived DroneSim positively and found the VR experience stimulating.Originality/valueThis study’s contribution is twofold: to better understand the development stages involved in the design of a VR-based drone flight training simulator, specifically for building inspection tasks; and to improve construction students’ drone operational and flight training skills by offering them the opportunity to enhance their drone navigation skills in a risk-free, repeatable yet realistic environment. Such contributions ultimately pave the way for better integration of drone-mediated building inspection training in construction education while meeting industry needs.
How closeness matters: the role of geographical proximity in social capital development and knowledge sharing in SMEs
Authors: Chumnangoon Pollawat , Chiralaksanakul Anukal , Chintakananda Asda 
Published: August 2021

Purpose
This study aims to investigate the impacts of geographical proximity on social capital development through the inter-relationship between three social capital dimensions (structural, relational and cognitive dimension) and the knowledge sharing between small- and medium-sized enterprises (SMEs). The authors empirically test a main hypothesis that the mechanism of social capital development that subsequently results in tacit knowledge sharing is different for SME buyer-supplier partners across their different geographical distances.

Design/methodology/approach
Multiple-group analysis in structural equation modeling (SEM) was conducted to test the research hypotheses using data collected from approximately 200 SMEs in Thailand’s food industry.

Findings
At a great geographical distance, the structural dimension impacts the cognitive dimension only in an indirect way through a relational dimension, which subsequently leads to knowledge sharing between SME buyer-supplier partners. At close geographical proximity, while the indirect impact of structural dimension on cognitive dimension through a relational dimension is still presented as it is in a great geographical distance, structural dimension has a positive and direct impact on the cognitive dimension as a complementary way to jointly reinforce knowledge sharing between SME partners. Among distant SME partners, the relational dimension shows a stronger impact on the cognitive dimension. In contrast, the direct influence of structural, relational and cognitive dimensions on knowledge sharing is identical, regardless of geographical distance.

Practical implications
The managers of SMEs can design their network-building approach in such a way that different location partners can enhance knowledge sharing. Policymakers could consider these results as a guideline when imposing SME development policies and geographical cluster policies in emerging economies.

Originality/value
This study provides empirical evidence that demonstrates how geographical proximity between SME partners in an emerging economy influences their social proximity through the lens of social capital development mechanism and thus leads to knowledge sharing between them.
Re-examination of the internet financial reporting determinants
Authors: Khlifi Foued 
Published: August 2021

PurposeThe purpose of this paper is to shed light on the relationship between the Internet Financial Reporting (IFR) levels and corporate characteristics. It is assumed that the relationship between the disclosure level and its determinants is known. Nevertheless, the results of the empirical studies confirm that it is a naive assumption. As a result, the author suggests refusing the conventional methods of econometric analysis.Design/methodology/approachThe research methodology consisted of four stages: First, the author tried to select the “best” model using the Akaike Information Criterion (AIC). Second, the author checked out the stability of the relationship between corporate disclosure level and its determinants. Third, the regression analysis was used. Finally, the author proposed a “genetic-fuzzy system” for studying the determinants of corporate disclosure. The firms' yearly data collected consisted of a random sample of 152 Tunisian companies' websites.FindingsThe results show that the variables that should be used to explain the level of IFR are firm size, ownership concentration, firm performance and liquidity. The Chow forecast test shows that there is a significant and large difference between the actual and the predicted values. Consequently, the author suggests using non-parametric methods, particularly a methodology based on fuzzy logic concepts and genetic algorithms. This technique would allow the author to discover the true form of the relationship between the disclosure level and its determinants. Regarding the hypotheses of this study, the findings of the “genetic-fuzzy system” validate all the hypotheses. Indeed, the arguments of the agency theory, the signaling theory, and the political cost hypothesis were supported using the “genetic-fuzzy system.”Originality/valueThe originality of the paper lies in providing a new research methodology based on several statistical tools for dealing with an important research topic in accounting and finance, i.e. the determinants of IFR. The results of this study can be considered as a starting point to develop a unified methodology.