bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oral administration of a dual ETA/ETBreceptor antagonist promotes neuroprotection in a rodent model of glaucoma
Authors: McGrady Nolan R. , Stankowska Dorota L. , Jefferies Hayden B. , Krishnamoorthy Raghu R. 
Published: October 2020

AbstractPurposeGlaucoma is a neurodegenerative disease associated with elevated intraocular pressure and characterized by optic nerve axonal degeneration, cupping of the optic disc and loss of retinal ganglion cells (RGCs). The endothelin (ET) system of vasoactive peptides (ET-1, ET-2, ET-3) and their G-protein coupled receptors (ETAand ETBreceptors) have been shown to be contributors to the pathophysiology of glaucoma. The purpose of this study was to determine if administration of the endothelin receptor antagonist, macitentan, after the onset of IOP elevation, was neuroprotective to retinal ganglion cells in ocular hypertensive rats.MethodsBrown Norway rats were subjected to the Morrison model of ocular hypertension by injection of hypertonic saline through episcleral veins. Macitentan (5 and 10 mg/kg body wt/day) was administered orally following the elevation of IOP and rats with IOP elevation were maintained for 4 weeks. RGC function was determined by pattern electroretinography at 2 and 4 weeks post IOP elevation. Rats were euthanized by approved humane methods and retinal flat-mounts generated were immunostained with RGC-selective markers RBPMS and Brn3a. RGC counts were conducted in a masked manner.ResultsA significant protection of retinal ganglion cells against cell loss was found following oral administration of macitentan (5 and 10 mg/kg body wt/day) in rats with elevated intraocular pressure. In addition, treatment with macitentan was able to preserve RGC function as measured by pattern ERG analysis.ConclusionsMacitentan was able to promote neuroprotection independent of IOP-lowering suggesting that this could complement existing treatments to prevent neurodegeneration during ocular hypertension. The findings presented have implications for the use of macitentan as an oral formulation to promote neuroprotection in glaucoma patients.
Older eastern white pine trees and stands sequester carbon for many decades and maximize cumulative carbon
Authors: Leverett Robert T. , Masino Susan A. , Moomaw William R. 
Published: October 2020

AbstractPre-settlement New England was heavily forested, with some trees exceeding 2 m in diameter. New England’s forests have regrown since farm abandonment and represent what is arguably the most successful regional reforestation on record; the region has recently been identified as part of the “Global Safety Net.” Remnants and groves of primary “old-growth” forest demonstrate that native tree species can live for hundreds of years and continue to add to the biomass and structural and ecological complexity of forests. Forests are an essential natural climate solution for accumulating and storing atmospheric CO2, and some studies emphasize young, fast-growing trees and forests whereas others highlight high carbon storage and accumulation rates in old trees and intact forests. To address this question directly within New England we leveraged long-term, accurate field measurements along with volume modeling of individual trees and intact stands of eastern white pines (Pinus strobus) and compared our results to models developed by the U.S. Forest Service. Our major findings complement, extend, and clarify previous findings and are three-fold: 1) intact eastern white pine forests continue to sequester carbon and store high cumulative carbon above ground; 2) large trees dominate above-ground carbon storage and can sequester significant amounts of carbon for hundreds of years; 3) productive pine stands can continue to sequester high amounts of carbon for well over 150 years. Because the next decades are critical in addressing the climate crisis, and the vast majority of New England forests are less than 100 years old, and can at least double their cumulative carbon, a major implication of this work is that maintaining and accumulating maximal carbon in existing forests – proforestation - is a powerful near-term regional climate solution. Furthermore, old and old-growth forests are rare, complex and highly dynamic and biodiverse, and dedication of some forests to proforestation will also protect natural selection, ecosystem integrity and full native biodiversity long-term. In sum, strategic policies that grow and protect existing forests in New England will optimize a proven, low cost, natural climate solution for meeting climate and biodiversity goals now and in the critical coming decades.
Design principles of acidic transcriptional activation domains
Authors: Staller Max V. , Ramirez Eddie , Holehouse Alex S. , Pappu Rohit V. , Cohen Barak A. 
Published: October 2020

AbstractAcidic activation domains are intrinsically disordered regions of transcription factors that bind coactivators. The intrinsic disorder and low conservation of activation domains have made it difficult to identify general rules governing their function. To address this problem, we designed thousands of variants in seven acidic activation domains and measured their activities with a new high-throughput assay in human cell culture. From these data we identify three design principles of acidic activation domains: hydrophobic motifs must be balanced by acidic residues; acidic residues make large contributions to activity when they are adjacent to motifs; and motif composition reflects the structural constraints of coactivator interactions. These design principles motivated a simple predictor of activation domains in the human proteome: scanning for clusters of aromatic and leucine residues embedded in regions of high acidity identifies known activation domains and accurately predicts new ones. Our results support a flexible model in which acidic residues solubilize hydrophobic motifs so that they can interact with coactivators.
“The dual diagnosis attitudes survey”: understanding the attitudinal impact of training across mental health and alcohol and drug service systems
Authors: Foster Gavin 
Published: October 2020

Purpose
Anecdotal feedback obtained from alcohol and drug and mental health staff across the eastern metropolitan region of Melbourne, Australia suggests that attitudes towards working with people experiencing a dual diagnosis are becoming more positive. The purpose of this paper is to understand if dual diagnosis-specific training delivered to staff within mental health and alcohol and other drug services was a factor positively influencing attitudes.

Design/methodology/approach
No formal evaluation assessing the impact of dual diagnosis-specific training on staff attitudes had previously occurred within this region of Australia. Access to staff on two occasions from three distinct sectors provided an opportunity to examine if and, to what degree, attitudes can be influenced by dual diagnosis-specific training. Using a co-designed attitudes survey, information was gathered from mental health and alcohol and drug staff on their attitudes to working with people with co-occurring mental health and substance use problems.

Findings
Two surveys were conducted involving 186 staff in 2012 and 110 staff in 2016. The dual diagnosis attitudes survey showed that positive attitudes to working with people experiencing a dual diagnosis were associated with recency of training. While attitudes may be improved by dual diagnosis training, these findings cannot exclude the impact of other dual diagnosis capacity building activities.

Originality/value
This study highlights the benefits of a regional partnership between mental health and alcohol and drug services and people with lived experience of dual diagnosis and the benefit of recent co-designed dual diagnosis training on longitudinally assessed worker attitudes.
Digital technology utilisation decisions for facilitating the implementation of Industry 4.0 technologies
Authors: M.E. Sepasgozar Samad 
Published: October 2020

Purpose
Emerging Construction Industry 4.0 technologies raise serious questions for construction companies when deciding whether to adopt or reject emerging technologies. Vendors seek to understand what factors are involved in how construction companies make these decisions and how they might vary across different companies. This paper aims to present a systematic, technology adoption decision-making framework for the construction industry which includes the key steps required for the final decision being made by companies up to the commencement of the operation of the technology.

Design/methodology/approach
A total of 123 experienced practitioners were interviewed to identify a broad range of tasks relevant to decision-making. Participants known as customers or vendors were chosen to validate the findings of each group by using data triangulation methods. A systematic thematic analysis method was applied in the NVivo environment to analyse the data.

Findings
This study identifies the active role of vendors who need to understand how their customers arrive at decisions to increase the rate of technology adoption. This paper also provides insights to new companies and late adopters (reported greater than 50%) about how others arrived at their decisions.

Originality/value
Unlike other technology adoption models, this paper investigates vendors’ corresponding interactions during the decision-making process. This paper also goes beyond previous studies, which focussed on the individual customer’s intention to use a specific technology at a single-stage by developing a multi-stage framework to enable understanding the details of the decision process at the organisational level.
The effects of health on the wages of Australian workers: gender differences and the impacts of macroeconomic conditions
Authors: Cai Lixin 
Published: October 2020

PurposeThe purpose of this study is to examine the effects of health on wages of Australian workers, with a focus on gender differences and the role of macroeconomic conditions in the effects.Design/methodology/approachThe first 15 waves of the Household, Income and Labour Dynamics in Australia survey are used to estimate a wage model that accounts for the endogeneity of health, unobserved heterogeneity and sample selection bias.FindingsThe results show that, after accounting for the endogeneity of health, unobserved heterogeneity and sample selection bias, better health increases wages for Australian male workers, but not for female workers. The results also show that accounting for the endogeneity of health, unobserved heterogeneity and potential sample selection bias is important in estimating the effects of health on wages. In particular, a simple ordinary least squares estimator would underestimate the effect of health on wages for males, while overestimate it for females, and simply addressing the endogeneity of health using instrumental variables could overestimate the effect for both genders. It is also found that the effects of health on wages fall under depressed macroeconomic conditions, perhaps due to reduced job mobility and increased presentism during a recession.Originality/valueThis study adds to the international literature on the effects of health on wages by providing empirical evidence from Australia. The model applied to estimate the effects takes advantage of a panel dataset to address the bias resulting potentially from all the sources of the endogeneity of health, unobserved heterogeneity and sample selection. The results indeed show that failing to address these issues would substantially bias the estimated effects of health on wages.
Coupled transient heat and moisture transfer investigation of facade panel connections
Authors: Abediniangerabi Bahram , Shahandashti Mohsen , Makhmalbaf Atefe 
Published: October 2020

PurposeThe purpose of this study is to investigate the effect of panel connections on the hygrothermal performance of facade panels using a coupled, transient heat and moisture transfer analysis.Design/methodology/approachA coupled, transient heat and moisture transfer analysis has been conducted to investigate the effect of panel connections in the hygrothermal behavior of facade panels. Governing partial differential equations for the coupled heat and moisture transfer were formulated. Four panel connections proposed by pre-cast/pre-stressed concrete institute were modeled for the ultra-high performance fiber-reinforced concrete facade panel as illustrations and a finite element method was used to solve the numerical models.FindingsThe results of heat transfer analysis showed that steel connections could significantly reduce the thermal resistivity of facade panels by converging heat fluxes and acting as thermal bridges within facade panels. The results also showed that the maximum heat flux in the steel connector of the panel to foundation connection was 10 times higher compared to the other connections. Also, the results of moisture transfer showed that air gaps between the panels had higher moisture flux compared to the other layers in the models. The results show the significant importance of panel connections in the energy performance analysis of facade systems. They also highlight the importance of devising novel connection designs and materials that consider the transient, coupled heat and moisture transfer in the connections to effectively exploit the potential opportunities provided by innovative facade systems to improve building energy efficiency.Originality/valueThis paper, for the first time, investigates the effect of panel connections in the hygrothermal performance of building facade systems using a coupled, transient heat and moisture transfer analysis.
Market structure and knowledge acquisition by firms
Authors: Hemsley Pedro , Morais Rafael , Di Iulio Karinna 
Published: October 2020

PurposeRecent models in firm theory assume that problems have to be solved for production to take place and that knowledge is the main input for problem-solving. This paper characterizes the relationship between the predictability of production prcesses and investment in knowledge.Design/methodology/approachThis paper uses a theoretical model of firm theory to study investment in knowledge by a simplified one-layer firm with a stochastic technology, across different market structures, and develops a calibration exercise to illustrate the results.FindingsFirms working closer to the production frontier (those with a larger efficient scale in perfect competition, facing a higher demand in monopoly or more competitive internationally in an open economy) react more in terms of investment in knowledge when problem predictability changes. Investment in knowledge becomes nearly insensitive to such changes for firms with a low output, i.e. those far from the frontier. A calibration exercise suggests that the elasticity of knowledge with respect to the predictability of problems was around 0.59 for the US economy for the period 1980–2020.Originality/valueThese are the first nonambiguous results on the relationship between the predictability of production processes and investment in knowledge and help understanding knowledge acquisition by different firms in distinct competitive environments.
A co-citation study of information security patents in the USPTO database
Authors: Janavi Elmira , Emami Maryam 
Published: October 2020

PurposeThe goal of this study was to investigate the co-citation of information security patents in the United States Patent and Trademark Office (USPTO) database.Design/methodology/approachThis research is a scientometrics study that has been conducted using the co-citation analysis. The statistical population of the present study includes all patents of information security filed in the USPTO database from 1971 to 2015. As a result of this search, 30,736 patents were retrieved. In this investigation, UCINET software and its complementary package (NetDraw) were employed to plot scientific maps.FindingsThe findings of this study indicated an upward trend of patents in the field of information security between 1971 and 2015. The “California State” has the top world rank in information security inventions, followed by “Japan” and the “Washington State.” “VAN WIE, DAVID M” is the most cited inventor in the field of information security. The analysis of inventors' co-citation data indicated that “ADAMS, NEIL- LITTLE” and “HERBERT ANTHONY” had the highest co-citation rates with each other and were ranked first. The survey of high-citation inventors based on centrality indices indicated that “LEACH, PAUL J” graded first in degree centrality, “BENALOH, JOSH D” in betweenness centrality and “BENALOH, JOSH D” in closeness centrality.Originality/valueThe co-citation analysis of patents can show the most important patents and the relationships between them. Such analyses can be useful for large-scale policymaking or identification of existing gaps and attempting to address them.
Corporate social responsibility, employee engagement, well-being and the task performance of frontline employees
Authors: Kim Minseong , Kim Jihye 
Published: October 2020

PurposeThis research examines the role of corporate social responsibility (CSR) in the workplace and its impact on frontline employees’ work-related outcomes. Based on the CSR and human resource management literature, this research formulates and tests a model of perceived management support for CSR, perceived customer support for CSR, work engagement, organization engagement, well-being and task performance, with an emphasis on the moderating role of the importance of CSR to employees.Design/methodology/approachThe survey data were collected from 409 frontline employees of service enterprises, such as hotels, restaurants, travel agencies, airlines, in May and June 2015. The collected data were analyzed with SPSS and AMOS for frequency, reliability, correlation, confirmatory factor analyses and structural equation modeling.FindingsThe empirical results indicate that perceived management support for CSR significantly influences work engagement and organization engagement. Perceived customer support for CSR significantly affects work engagement, which increases organization engagement and enhances task performance. Organization engagement has a significant impact on perceived well-being, which, in turn, enhances task performance. Finally, the importance of CSR to employees significantly moderates the path from perceived management support for CSR to organization engagement.Originality/valueThis study formulates a conceptual model focusing on CSR to investigate drivers of well-being and the two aspects of employee engagement in a workplace. This study also considers employees’ perceptions of the importance of CSR as a moderator in the model.
Interorganizational learning between knowledge-based entrepreneurial ventures responding to COVID-19
Authors: Haneberg Dag Håkon 
Published: October 2020

Purpose
The COVID-19 crisis has significantly affected entrepreneurial ventures, where knowledge resources are limited and contextual uncertainty is heightened. This paper aims to identify if and how interorganizational learning (IOL) may assist entrepreneurial ventures adapt, survive and grow in a crisis.

Design/methodology/approach
The following research question is asked: How may responding to the adversity induced by the COVID-19 pandemic affect IOL between entrepreneurial ventures? Four hypotheses were developed to carry out a quantitative study of 228 knowledge-based entrepreneurial ventures in Norway.

Findings
The results illustrate how different combinations of adversity from COVID-19 and the active responses conducted by entrepreneurial ventures influence IOL. Four clusters representing different behaviors are developed accordingly as follows: “collaborators”, “supporters”, “responders” and “victims.” The findings provide empirical support for the importance of engaging in interactive and collaborative activities for IOL.

Research limitations/implications
The findings can help in understanding how COVID-19 influences IOL between entrepreneurial ventures. Policymakers may use these findings to promote organizational continuity in entrepreneurial ventures by creating and nurturing support systems that promote IOL during a crisis.

Originality/value
Studying a contemporary and critical situation – the COVID-19 pandemic – the present paper provides an empirical study of the antecedents to IOL, adding to the currently scarce body of research on IOL in and between entrepreneurial ventures.
The COVID‐19 crisis and complexity: A soft systems approach
Authors: El‐Taliawi Ola G. , Hartley Kris 
Published: October 2020

AbstractThe COVID‐19 pandemic is a crisis with high complexity and should be understood as such by scholarship. A complexity science approach situates increasingly divergent ideological and epistemological perspectives about the crisis within the practical exigencies of containment and mitigation measures. We ask which of the seven stages of soft systems methodology contributes to deeper understandings about COVID‐19 as a policy issue, beyond the contributions of current and conventional perspectives. The discussion outlines implications for practice and places them within broader debates about tensions between scientific facts and political values.
A rapid and nondestructive approach for forensic identification of car bumper splinters using attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics
Authors: Wei Chenjie , Wang Jifen 
Published: October 2020

AbstractThe proper identification of car bumper splinters at hit‐and‐run crime scenes is imperative to forensic investigations, as splinters yield crucial pieces of vehicle information that can lead to subsequent investigation resolution and criminal justice. A method based on attenuated total reflectance Fourier transform infrared spectroscopy (ATR‐FTIR) combined with Fisher discriminant analysis (FDA) and support vector machine (SVM) is reported to classify car bumper splinters. The FDA and SVM models were constructed based on full spectrum, fingerprint spectrum, and characteristic spectrum data from 156 car bumper splinter samples. The characteristic spectrum data were extracted by principal component analysis. The classification results for different types of data were compared, and the classification models were analyzed. In the FDA, the model based on the spectral data of the characteristic spectrum yielded the highest classification accuracy, and the classification accuracy based on 10 brands was 88.5%. For polypropylene type; polypropylene, talcum powder, and calcium carbonate type; and polypropylene and talcum powder type bumper samples, the classification accuracy rate reached 97.4%. The classification results were ideal for the SVM, for 10 brands and 3 types of samples, the classification accuracy of the model constructed based on both full spectrum and characteristic spectrum data reached 100%. The results suggest that the SVM model is superior to the FDA model. The SVM model is also suitable for the classification of high‐dimensional data. ATR‐FTIR combined with the chemometrics methods of FDA and SVM is a rapid, nondestructive, and accurate method for the differentiation of car bumper splinters.
The Differential Impact of Brexit on Banking: UK vs. Europe
Authors: Vázquez‐Ordás Camilo J. , García‐Olalla Myriam 
Published: October 2020

AbstractThe objective of this study is to analyse the differential impact that the main events in the implementation of Brexit have had on the European banking sector, and attempt to identify whether said impact has been different for UK and European banks. To do this, we selected a sample of UK banks listed on the stock exchange and a control group composed of banks belonging to European countries of a similar size to the UK banks. We used event study methodology to determine the impact, which was measured by the market reaction. The obtained results allow us to state that UK banks reacted differently from European banks in response to the same events that have defined the path of Brexit, and generally more negatively.