bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temperature and O2, but not CO2, interact to affect aerobic performance of European sea bass (Dicentrarchus labrax)
Authors: Montgomery Daniel W. , Simpson Stephen D. , Davison William , Goodrich Harriet R. , Engelhard Georg H. , Birchenough Silvana N.R. , Wilson Rod W. 
Published: March 2021

AbstractClimate change causes warming, decreased O2, and increased CO2 in marine systems and responses of organisms will depend on interactive effects between these factors. We provide the first experimental assessment of the interactive effects of warming (14 to 22°C), reduced O2 (∼3 – 21 kPa O2), and increased CO2 (∼400 or ∼1000 µatm ambient CO2) on four indicators of aerobic performance (standard metabolic rate, SMR, maximum metabolic rate, MMR, aerobic scope, and hypoxia tolerance, O2crit), blood chemistry, and O2 transport (P50) of a marine fish, the European sea bass (Dicentrarchus labrax). Warming increased SMR and O2crit (i.e. reduced hypoxia tolerance) as well as MMR in normoxia but there was an interactive effect with O2 so that hypoxia caused larger reductions in MMR and aerobic scope at higher temperatures. Increasing CO2 had minimal effects on SMR, MMR and O2crit and did not show interactive effects with temperature or O2 for any measured variables. Aerobic performance was not linked to changes in blood chemistry or P50. Despite lack of effects of CO2 on aerobic performance, increased CO2 induced 30% mortality of fish exercised in low O2 at 22°C indicating important threshold effects independent of aerobic performance. Overall, our results show temperature and O2, but not CO2, interact to affect aerobic performance of sea bass, disagreeing with predictions of the oxygen- and capacity-limited thermal tolerance hypothesis.
Total phenolic content, antioxidant, anti-inflammatory and anti-microbial potentials of Bambara groundnut (Vigna subterranea L.) seed extract
Authors: Oyeyinka Samson A. , Abdulsalam Aminat O. , Ahmed El-Imam Amina M. , Oyeyinka Adewumi T. , Olagunju Omotola Folake , Kolawole Fausat L. , Arise Abimbola K. , Adedeji Emmanuel O. , Njobeh Patrick B. 
Published: March 2021

PurposeBambara groundnut is a hard-to-cook grain and this has limited its utilisation to some extent. However, the grain is a good source of phytochemicals with antioxidant properties. This study investigated the total phenol content, antioxidant, anti-inflammatory and anti-microbial potentials of hot-water extract of four Bambara groundnuts differentiated by their seed coats (cream, black, maroon and brown).Design/methodology/approachBambara grains were heated in water at a ratio 1:20 (w/v) and the grains brought to boiling in a controlled water bath. As soon as boiling started, the temperature was reduced to 90 °C to reduce the evaporation rate. The extracts were withdrawn within 30 min, which was chosen from a preliminary study where beyond this time, the extract was drying off and the amount of solution obtained was not sufficient for the initial run. Grain colour and composition and antioxidant, antimicrobial and anti-inflammatory properties of the extract were determined using standard methods.FindingsProtein (20.57–26.31%) and carbohydrate (55.43–61.09%) were the major components of the grain. Grain type and boiling time generally affected the total phenolic content of the extract. Cream Bambara displayed substantially lower total phenolic content at all boiling times compared with the maroon, brown and black Bambara groundnuts. The total flavonoid contents and total phenolic contents of the Bambara groundnut extracts were dependent on the boiling time and type of grain. The extracts showed no activity against Candida albicans, but the maroon coat Bambara demonstrated a peak inhibition of 6.00 mm against Escherichia coli. The total phenolic, flavonoid contents and the antioxidant properties of the grains generally followed the order Maroon > Black > Brown.Originality/valueThis study has demonstrated the possibility of promoting the use of Bambara groundnut beyond the current level of usage by using simple processing method of boiling to extract phytochemicals with medicinal properties.
Building, sustaining and growing: disability inclusion in business
Authors: Gould Robert , Mullin Courtney , Parker Harris Sarah , Jones Robin 
Published: March 2021

PurposeThe purpose of this paper is to analyze the unique and the complementary aspects of disability inclusion and diversity strategies and to offer insight for organizations to integrate disability within diversity frameworks.Design/methodology/approachThe research team conducted semi-structured interviews with diversity and inclusion “champions” from large businesses to learn about policies, practices and processes for fostering disability inclusion. The businesses have all received national recognition for supporting employees with disabilities.FindingsInterviewees described strategies to build, sustain and grow disability inclusion by framing disability similarly to other diversity categories. The champions suggested practices to improve disability inclusion initiatives within their organizations.Originality/valueThere is limited information on what organizations are doing to support disability inclusion in the workplace. This study builds on the existing literature and responds to calls for case information from business personnel to gather data about common and effective practices.
The determinants of bank branch location in India: an empirical investigation
Authors: Zhang Quanda , Arora Rashmi , Colombage Sisira 
Published: March 2021

PurposeBank branching plays a significant role in a wide range of economic activities. Existing studies on determinants of bank branching activities largely focus on developed countries; studies devoted to developing countries are scant. The purpose of this paper is to examine the determinants of bank branching activities in one of the largest developing country India.Design/methodology/approachThe authors employ a unique longitudinal data to study the determinants of bank branch location in India. These data are collected at the state level covering 25 Indian states for the period 2006–2017. The authors employ Poisson regression that are better suited for modeling counted dependent variable.FindingsFirst, region and bank specific factors such as size of population and bank deposits influence location of bank branches. Second, the relationship between these factors and branch locations is heterogeneous across different types of banks and across states with different business environments.Practical implicationsFirst, from the view of banks, considering the factors of branch location are crucial in order to set out branching strategy. Irrespective of policy measures aimed at promoting financial inclusion in India, the authors show that banks consider economic activities in the region in locating their branches. Second, from the view of policy makers and regulators, such branching strategy could potentially contribute to financial exclusion. As a result, population in the less developed regions may be excluded from accessing financial services. Hence, policy makers and regulators should take into this account when formulating policies aimed at promoting financial inclusion.Originality/valueFirst, while existing studies largely focus on developed countries, studies devoted to developing countries are scant. To the best of our knowledge, the authors have not come across any study that investigates the determinants of bank branch location in India, so the authors reasonably believe that this study is a first-of-its-kind. Second, the study provides a new perspective concerning how regional and bank specific factors influence banks of different ownership in locating branches. Third, while traditional regression used to be a method of choice among early studies, the authors employ Poisson regression that is better suited for modeling counted dependent variable.
Sustainable antibacterial printing of cellulosic fabrics using an indigenous chitosan-based thickener with distinct natural dyes
Authors: Raza Zulfiqar Ali , Anwar Faiza , Abid Sharjeel 
Published: March 2021

PurposeChitosan is widely considered as a natural polymer and a diverse finish to impart antibacterial property and enhanced dye uptake of textiles. Herein, the authors have investigated the feasibility of using chitosan/starch blend as a thickener in screen printing of cellulosic fabrics with some natural dyes.Design/methodology/approachThe polymeric blend of chitosan/starch was prepared and used as a thickener for screen printing with three natural dye extracts, namely, Curcuma tinctoria (turmeric), Beta vulgaris (beet) roots and Lawsonia alba (henna) leaves on cellulosic fabrics like cotton and viscose. The viscosity and rheological properties of print paste as a fresh and after overnight shelving were examined. The influence of polymeric blends on cellulosic fabrics' print properties was inspected by determining their colorfastness, rubbing fastness, tensile strength and antibacterial activity.FindingsThe results depicted that chitosan/starch blend as printing thickener increased the shade depth with good wet and dry rubbing fastness for all the test natural dyes. The antibacterial activity of resultant printed cellulosic fabrics was found to be satisfactory against broad-spectrum bacterial strains.Practical implicationsThis study's outcome is the development of chitosan blend thickeners to print the cellulosic fabrics with indigenous natural dyes.Originality/valueThe authors found no previous report on the synthesis of chitosan-based antibacterial blend thickeners with three distinct natural dyes and their application in screen printing of native and regenerated cellulosic fabrics of cotton and viscose, respectively.
FG-SMOTE: Fuzzy-based Gaussian synthetic minority oversampling with deep belief networks classifier for skewed class distribution
Authors: Hemalatha Putta , Amalanathan Geetha Mary 
Published: March 2021

PurposeAdequate resources for learning and training the data are an important constraint to develop an efficient classifier with outstanding performance. The data usually follows a biased distribution of classes that reflects an unequal distribution of classes within a dataset. This issue is known as the imbalance problem, which is one of the most common issues occurring in real-time applications. Learning of imbalanced datasets is a ubiquitous challenge in the field of data mining. Imbalanced data degrades the performance of the classifier by producing inaccurate results.Design/methodology/approachIn the proposed work, a novel fuzzy-based Gaussian synthetic minority oversampling (FG-SMOTE) algorithm is proposed to process the imbalanced data. The mechanism of the Gaussian SMOTE technique is based on finding the nearest neighbour concept to balance the ratio between minority and majority class datasets. The ratio of the datasets belonging to the minority and majority class is balanced using a fuzzy-based Levenshtein distance measure technique.FindingsThe performance and the accuracy of the proposed algorithm is evaluated using the deep belief networks classifier and the results showed the efficiency of the fuzzy-based Gaussian SMOTE technique achieved an AUC: 93.7%. F1 Score Prediction: 94.2%, Geometric Mean Score: 93.6% predicted from confusion matrix.Research limitations/implicationsThe proposed research still retains some of the challenges that need to be focused such as application FG-SMOTE to multiclass imbalanced dataset and to evaluate dataset imbalance problem in a distributed environment.Originality/valueThe proposed algorithm fundamentally solves the data imbalance issues and challenges involved in handling the imbalanced data. FG-SMOTE has aided in balancing minority and majority class datasets.
E-learning satisfaction and retention: a concurrent perspective of cognitive absorption, perceived social presence and technology acceptance model
Authors: Salimon Maruf Gbadebo , Sanuri Sany Mohd Mokhtar , Aliyu Olayemi Abdullateef , Perumal Selvan , Yusr Maha Mohammed 
Published: March 2021

Purpose
The purpose of this study is to concurrently test the effect of cognitive absorption and perceived social presence on technology acceptance model core variables, e-satisfaction and e-retention among undergraduate students of Northern Malaysian public universities.

Design/methodology/approach
To empirically test the model, the authors developed quantitative research by collecting data from 730 undergraduate students of public universities in the Northern states of Malaysia. Partial least squares–structural equation modeling was used to analyze the data.

Findings
The results of the study reveal that cognitive absorption has a direct significant and positive effect on perceived usefulness and perceived ease of use of e-learning platforms and an indirect effect on e-satisfaction and e-retention. Equally, perceived social presence has a direct positive and significant effect on perceived ease of use and an indirect effect on e-satisfaction and e-retention, while e-satisfaction positively and significantly influences electronic retention. However, perceived social presence has an insignificant effect on perceived usefulness.

Practical implications
The findings of this study provide insights to practitioners, academia and university management, policymakers, designers and marketers on how to use the selected variables to improve the e-learning systems generally, and LearningZone Moodle in particular.

Originality/value
Several studies have been conducted in the domain of electronic learning; none of them, however, concurrently linked cognitive absorption and perceived social presence with technology acceptance model core factors to predict e-satisfaction and e-retention using LearningZone Moodle. This study helps the research community to fill this gap as the literature lacks a concerted discussion concerning these variables to significantly predict e-satisfaction and e-retention in an online learning context.
Housing construction costs and house rents fluctuations in an emerging property market: the case of Osogbo, Nigeria
Authors: Chiwuzie Augustina , Dabara Daniel Ibrahim 
Published: March 2021

PurposeCost of construction of residential properties as well as its subsequent rent trends remain a major challenge to stakeholders in the property rental markets of emerging economies. This study examined the relationship between housing construction costs and house rents fluctuations in Osogbo, Nigeria, to provide information for informed investment decisions.Design/methodology/approachThe authors conducted a survey, where three sets of questionnaires were administered on building contractors; estate surveyors and valuers and private residential property owners. The data required comprise the estimated average construction costs and average market rents for two and three-bedroom bungalows in the study area from 2008 to 2018. These data were respectively sourced from all the 15 firms of building contractors and 25 firms of estate surveyors and valuers in Osogbo, Nigeria. Stratified random sampling was employed to select 180 property owners from three medium-density residential districts of Osogbo. Secondary data on macroeconomic variables were sourced from the Central Bank of Nigeria. Data collected were analysed using descriptive and inferential statistical tools.FindingsThe authors found a significant positive relationship (0.749) between construction costs and house rents trends; both variables maintained ascending trends. Construction costs and house rents inflation rates exhibited random fluctuations with the former having a higher mean inflation rate (10.47%). However, the difference was not statistically significant (p-value = 0.317 > 0.05). Respondents identified consumer price index (CPI) inflation among other macroeconomic variables as the strongest predictor of both construction costs and house rents fluctuations. However, evidence from further analysis of the time series suggested otherwise.Practical implicationsThe result confirms construction cost as one of the vital supply factors of the housing market, which is often pass through to house rents. The positive relationship between construction costs and house rents trends should trigger new development which, will, in turn, allow rental housing investments to expand into new areas with prospects for profits that could be earned by domestic and foreign investors.Originality/valueThis study to the best knowledge of the researchers is the first to relate housing construction cost to house rent in Osogbo, Nigeria; thereby adding to the body of knowledge in this field.
Cross‐sex testosterone therapy modifies the renal morphology and function in female rats and might underlie increased systolic pressure
Authors: Lichtenecker Débora Conte Kimura , Argeri Rogerio , Castro Charlles Heldan de Moura , Dias‐da‐Silva Magnus Regios , Gomes Guiomar Nascimento 
Published: March 2021

AbstractTestosterone esters are hormones commonly used for affirming gender identity in transmen. The present study evaluates the effect of testosterone on renal morphology and function in an animal model submitted to cross‐sex hormone therapy used for transmen. Two‐month‐old Wistar rats were divided into three groups: male control (MC), female control (FC), and female on testosterone therapy (FTT). The FTT group received testosterone cypionate (3.0 mg/kg, i.m.), and the MC and MF groups received vehicle oil every 10 days for 4 months. Renal function and indirect systolic blood pressure (SBP) measurements were evaluated at 6 months of age. Plasma and urine concentrations of urea, creatinine, sodium, potassium, osmolality, and glomerular filtration rate (GFR) were measured. The kidneys were weighed, paraffin‐embedded, and histological sections were prepared to evaluate the glomerular area. We verified that the FTT group, in comparison to FC, had increased kidney weight [MC, 3.2 ± 0.05; FC, 1.8 ± 0.04; FTT, 2.2 ± 0.06; g], decreased urine osmolarity [MC, 486.9 ± 18.3; FC, 1012.0 ± 5.4; FTT, 768.2 ± 40.3 mOsm/L/g kw], reduced GFR [MC, 0.77 ± 0.04; FC, 0.78 ± 0.02; FTT, 0.67 ± 0.03; mL/min/g kw], larger glomerular area [MC, 9334 ± 120.8; FC, 7884 ± 112.8; FTT, 9078 ± 133.4 µm2], and higher SBP [MC, 126 ± 3.4; FC, 119 ± 1.0; FTT, 131 ± 1.4; mmHg]. Sodium excretion was higher in FC and FTT in comparison to MC [MC, 0.34 ± 0.05; FC, 0.56 ± 0.06; FTT, 0.54 ± 0.04; mEq/24 h/g kw]. Cross‐sex hormone therapy with testosterone in female rats induces renal morphofunctional changes and may underlie increased systolic pressure, suggesting an adaptation similar to what is observed in transmen on long‐term testosterone therapy.
Behavioural Framework for Managing Conflicts of Interest in Professional Accounting Firms
Authors: Ishaque Maria , Attah‐Boakye Rexford , Yusuf Fatima 
Published: March 2021

AbstractThis paper proposes a behavioural framework to complement professional accounting firms’ measures for managing conflicts of interest. Following an empirical examination of the process through which conflicts of interest affect accounting professionals’ decision‐making, we develop guidance for practitioners that will enable them to incorporate behavioural interventions while establishing the context, assessing, treating, controlling and monitoring conflicts of interest. The interventions are aimed at strengthening accounting professionals’ independence in fact by increasing the professionals’ expectation that compliant decision‐making will result in positive outcomes, increasing their perception that making compliant decisions is less difficult than making the alternative decisions, facilitating the formation of highly ethical judgements and lowering their propensity to disengage.The data were collected through a quasi‐experiment with 105 professionals from the Big Four accounting firms in the UK. Our work offers practical implications for professional accountants, executive directors, regulatory bodies, executive training and academic research. Other professions facing the ramifications of conflicts of interest (e.g. law, engineering, medicine and architecture) may also use the proposed framework to improve their ethics policies and corporate governance codes for managing conflicts of interest.
Entrepreneurial Finance and HRM Practices in Small Firms
Authors: Di Pietro Francesca , Monaghan Sinéad , O'Hagan‐Luff Martha 
Published: March 2021

AbstractAs new ventures grow, they face significant challenges to their internal operations and organizational structure. These challenges are particularly evident in small, entrepreneurial firms, who have limited resources, under‐developed capabilities and often seek funding from external investors to enable growth. We draw on institutional theory, particularly institutional logics, to explore the role of different investors on human resource management (HRM) in small, entrepreneurial firms. Using qualitative multiple‐case study analysis of seven firms within the Irish agrifood industry, our study shows how external investors can prompt changes to HRM, illustrating three approaches to HRM practice: operational – aimed at improving efficiency and internal functioning through human resources; strategic – aimed at improving firm performance and competitive advantage; and transformational – leading to a fundamental redirection of the firm. These findings facilitate the development of a framework for how investor logic prompts changes to HRM practices of small, entrepreneurial firms. By examining the interaction of institutional logics, this paper contributes a more nuanced understanding of entrepreneurial finance and its implications on HRM practices in small, entrepreneurial firms.
Mind the gap: How party–voter incongruence fuels the entry and support of new parties
Authors: VAN DE WARDT MARC , OTJES SIMON 
Published: March 2021

AbstractThis article examines to what extent ideological incongruence (i.e., mismatch between policy positions of voters and parties) increases the entry of new parties in national parliamentary elections and their individual‐level electoral support. Current empirical research on party entry and new party support either neglects the role of party–voter incongruence, or it only examines its effect on the entry and support of specific new parties or party families. This article fills this lacuna. Based on spatial theory, we hypothesise that parties are more likely to enter when ideological incongruence between voters and parties is higher (Study 1) and that voters are more likely to vote for new parties if these stand closer to them than established parties (Study 2). Together our two studies span 17 countries between 1996 and 2016. Time‐series analyses support both hypotheses. This has important implications for spatial models of elections and empirical research on party entry and new party support.