bluuebunny/crossref_metadata_2025_split huggingface dataset:
Institutional quality and access to financial services: evidence from European transition economies
Authors: Corrado Germana 
Published: July 2020

PurposeThis paper outlines an analytical framework for estimating households' access to formal credit across European transition economies shortly after the onset of the global financial crisis. This study, along with the individual-level socio-economic and demographic characteristics also considers the perceived quality of the institutions. The author wants to assess whether an adequate policy-level intervention to promote financial inclusion should account for the individuals' subjective evaluation of the political situation in their own country as well as their personal experience of corruption.Design/methodology/approachThis paper identifies the main determinants of financial inclusion using European microdata (Life in Transition SurveyII, LiTS II). In order to estimate individuals' access to formal financial markets, the author constructs a bivariate probit model to account for joint access to short-term and long-term credit products (Mohieldin and Wright, 2000).FindingsThe results show that improving people's access to financial markets across European regions requires a set of interventions at the institutional and local levels to link-up policies of financial inclusion and financial integrity.Originality/valueThe paper contributes to the existing literature by identifying a number of key causes of financial inclusion and the role of institutional (corruption crimes) factors in determining the levels of financial access in a country.
Expert cues: how expert reviewers are perceived online
Authors: Naujoks Anna , Benkenstein Martin 
Published: July 2020

PurposeThe purpose of this paper is to explore different types of source expertise and how they influence perceived message quality. Consumers face the challenge to identify valuable online reviews. Source expertise as a signal of message quality can be displayed differently, depending on website layout, operator and review author.Design/methodology/approachTwo scenario-based experiments were conducted questioning 135 and 275 participants. They investigate the effect of different types of expert reviewers on perceived message quality and also examine the interplay of source expertise and source trustworthiness.FindingsThe findings reveal that the different types of expert reviewers differ in perceived expertise and their impact on perceived message quality. Claims of expertise induce the highest perceived expertise compared to the other expert types and non-experts, but are perceived as less trustworthy.Research limitations/implicationsFuture research should examine the influence of the expert types across different product and service categories and could also include moderating influences that reflect how consumers process expert cues differently.Practical implicationsCues that signal high expertise and high trustworthiness are likely to deliver the most valuable online reviews. This should be incorporated in the website's layout to help consumers find valuable information.Originality/valueThe approach of this research is novel in that it undertakes comparisons between three types of expert cues and non-experts. It also addresses the interplay of source expertise and trustworthiness and examines the effect on message quality.
Malaysian residential mortgage loan default: a micro-level analysis
Authors: Abdul Adzis Azira , Lim Hock Eam , Yeok Siew Goh , Saha Asish 
Published: July 2020

PurposeThis study investigates factors contributing to residential mortgage loans default by utilizing a unique dataset of borrowers' default data from one of the pioneer lending institutions in Malaysia that provides home financing to the public. Studies on mortgage loan default have been extensively examined, but limited studies utilize the individual borrower's data, as financial institutions generally hesitant to reveal their customers' data due to confidentiality issue.Design/methodology/approachThis study uses logistic regression model to analyze 47,158 housing loan borrowers' data for the year 2016.FindingsThe findings suggest that male borrowers, Malay and other type of ethnicity, guarantor availability, loan original balance, loan tenure, loan interest rate and loan-to-value (LTV) ratio are the significant factors that influence mortgage loans default in Malaysia.Research limitations/implicationsFuture studies may expand the sample by employing data from other types of financial institutions that would give greater insights as findings might vary due to differences in objectives, functions and regulations. In addition, the findings are subjected to the censoring bias where future studies could perform the survival analysis to control for censoring bias and re-validating the findings of the present study.Practical implicationsThe findings provide valuable insights for lending institutions and the government to formulate housing loan policy in Malaysia.Originality/valueTo the best of the authors' knowledge, this is the first study in the context of emerging economies that uses financial institution's internal data to investigate factors of mortgage loan default.
Relating library user education to business students’ information needs and learning practices: a comparative study
Authors: Zhang Yifei , Lo Patrick , So Stuart , Chiu Dickson K.W. 
Published: July 2020

Purpose
The paper aims to investigate current library instruction programs to help business students make better use of library resources and improve their information. However, students’ information acquisition ability, library usage and their perception toward library user education are inevitably changing along with the rapidly evolving information landscape as well as the socio-cultural environment driven by information technologies.

Design/methodology/approach
For this study, 90 business students from three different majors at the Faculty of Business and Economics, the University of Hong Kong were invited to participate in the online survey for comparison.

Findings
The findings of this study suggest that the subjects, in general, recognized the importance of library user instruction. However, when the subjects encountered difficulties in information searching, they preferred to use search engines (such as Google) and seek help from their classmates.

Practical implications
The results of this study show that there were distinctive differences in library usage and views toward library instruction among students of three different majors. This study sheds light on the feasible actions of academic libraries to enhance library user instruction services and improve the IL skills among business students.

Originality/value
Although there is much research about the library instruction of academic libraries, scant research focuses on library usage and views toward library instruction of business students, especially on the comparison among different business majors.
Lean Six Sigma: a clinical treatment for the recovery of Indian manufacturing sector from the after-effects of coronavirus
Authors: Sodhi Harsimran Singh 
Published: July 2020

PurposeManufacturing industry is quite badly hit due to the coronavirus. Manufacturing has been stopped in every country. The present study will provide assistance to the practitioners to recover manufacturing sector from the after-effects of coronavirus.Design/methodology/approachA thorough review of the recent articles published in the newspaper and web has been done to make a viewpoint on the global industrial impact due to epidemic corona. Reports of WHO, IMF, World Bank, RBI and so forth are also reviewed. Further, Lean Six Sigma has been suggested which can be implemented to recover manufacturing industry from the ill effects of corona.FindingsIn present study the problem causd in the manufacturing sector due to corona virus has been identified and a clinical treatment for the same has been proposed by using the tools and techniques of Lean Six Sigma.Originality/valueThe impact of coronavirus has become a huge issue not only for the physical health of human beings but also for the economic health of most of the countries in the world, as it is pushing the world economy toward huge economic depression. Therefore, it becomes the moral responsibility of industrial experts to suggest the tools and techniques to the manufacturing industry for faster recovery.
COVID‐19 and human spermatozoa—Potential risks for infertility and sexual transmission?
Authors: Aitken Robert John 
Published: July 2020

AbstractAs COVID‐19 infections wreak havoc across the globe, attention has rightly been focused on the vital organ systems (lung, kidney and heart) that are vulnerable to viral attack and contribute to the acute pathology associated with this disease. However, we should not lose sight of the fact that COVID‐19 will attack any cell type in the body expressing ACE2 ‐ including human spermatozoa. These cells possess the entire repertoire of receptors (AT1R, AT2R, MAS) and ligand processing enzymes (ACE1 and ACE2) needed to support the angiotensin signalling cascade. The latter not only provides COVID‐19 with a foothold on the sperm surface but may also promote integration, given the additional presence of a range of proteases (TMPRSS2, TMPRSS11B, TMPRSS12, furin) capable of promoting viral fusion. This article reviews the roles played by these various cellular constituents in maintaining the vitality of human spermatozoa and their competence for fertilization. The reproductive consequences of a viral attack on these systems, in terms of fertility and the risk of sexual transmission, are currently unknown. However, we should be alive to the possibility that there may be reproductive consequences of COVID‐19 infection in young males that go beyond their capacity to survive a viral attack.
Machine learning approach for power consumption model based on monsoon data for smart cities applications
Authors: Sheik Mohideen Shah S. , Meganathan S. 
Published: July 2020

AbstractIn this modern world, electricity plays a vital role. It is essential for human life and also affects normal behavior of environment resulting in global warming. Recent developments in artificial intelligence (AI), in particular machine learning (ML), have been significantly advancing smart city applications. Smart infrastructure, which is an essential component of smart cities, is equipped with power systems designed for optimizing smart devices. In this article, real domestic consumption data of 500 consumers from TANGEDCO are analyzed and clustered based on different seasons (consumption rate varies upon different weather conditions) for smart city applications. An efficient clustering algorithm k‐means integrates big data set for a period of 10 years and converts it into clustering graph with three seasons. By analyzing this data, the amount of consumption of electricity by humans in particular area (Pasupathikovil) of Papanasam taluk of Thanjavur district will be predicted. This article would be more useful for predicting changes in usage of electricity and take proper steps for analyzing the consumption accordingly and it will be more useful in smart city development. It gives an idea of which season needs more consumption and which needs less.
Comprehensive geriatric assessment in older adults with cancer: Recommendations by the Italian Society of Geriatrics and Gerontology (SIGG)
Authors: Fusco Domenico , Ferrini Alessandro , Pasqualetti Giuseppe , Giannotti Chiara , Cesari Matteo , Laudisio Alice , Ballestrero Alberto , Scabini Stefano , Odetti Patrizio R. , Colloca Giuseppe F. , Monzani Fabio , Nencioni Alessio , Antonelli Incalzi Raffaele , Monacelli Fiammetta ,   the Oncogeriatrics Group of the Italian Society of Gerontology, Geriatrics
Published: July 2020

AbstractIntroductionOptimizing the approach to older adults with cancer is now a priority given the increasing frequency of new cancer diagnoses that are made in the older population. The comprehensive geriatric assessment (CGA) represents the gold‐standard for (1) defining prognosis and ability to withstand cancer treatments, (2) exploring the multiple aspects that define the complexity of frail older persons, and (3) designing person‐tailored interventions.Materials and methodsIn this document, based on a comprehensive revision of the literature, the Italian Society for Geriatrics and Gerontology proposes a CGA model (ONCOGER CGA) to be adopted by oncology centers for their routine approach to older patients with cancer.Results and discussionA widespread use of this standardized CGA format will facilitate comparisons across institutions, promote studies based on a multidimensional patient assessment, and foster the inclusion of geriatric endpoints in oncological clinical trials. Furthermore, we predict that the use of a standardized CGA approach will increase the integration of geriatricians into oncology care teams with the final result of improving therapeutic choices and clinical outcomes.
Initial memory consolidation and the synaptic tagging and capture hypothesis
Authors: Okuda Kosuke , Højgaard Kristoffer , Privitera Lucia , Bayraktar Gülberk , Takeuchi Tomonori 
Published: July 2020

AbstractEveryday memories are retained automatically in the hippocampus and then decay very rapidly. Memory retention can be boosted when novel experiences occur shortly before or shortly after the time of memory encoding via a memory stabilization process called "initial memory consolidation." The dopamine release and new protein synthesis in the hippocampus during a novel experience are crucial for this novelty‐induced memory boost. The mechanisms underlying initial memory consolidation are not well‐understood, but the synaptic tagging and capture (STC) hypothesis provides a conceptual basis of synaptic plasticity events occurring during initial memory consolidation. In this review, we provide an overview of the STC hypothesis and its relevance to dopaminergic signalling, in order to explore the cellular and molecular mechanisms underlying initial memory consolidation in the hippocampus. We summarize electrophysiological STC processes based on the evidence from two‐pathway experiments and a behavioural tagging hypothesis, which translates the STC hypothesis into a related behavioural hypothesis. We also discuss the function of two types of molecules, "synaptic tags" and "plasticity‐related proteins," which have a crucial role in the STC process and initial memory consolidation. We describe candidate molecules for the roles of synaptic tag and plasticity‐related proteins and interpret their candidacy based on evidence from two‐pathway experiments ex vivo, behavioural tagging experiments in vivo and recent cutting‐edge optical imaging experiments. Lastly, we discuss the direction of future studies to advance our understanding of molecular mechanisms underlying the STC process, which are critical for initial memory consolidation in the hippocampus.
Functional genetic diversity of domestic and wild American mink (Neovison vison)
Authors: Morris Kimberley Y. , Bowman Jeff , Schulte‐Hostedde Albrecht , Wilson Paul J. 
Published: July 2020

AbstractThe release of domestic organisms to the wild threatens biodiversity because the introduction of domestic genes through interbreeding can negatively impact wild conspecifics via outbreeding depression. In North America, farmed American mink (Neovison vison) frequently escape captivity, yet the impact of these events on functional genetic diversity of wild mink populations is unclear. We characterized domestic and wild mink in Ontario at 17 trinucleotide microsatellites located in functional genes thought to be associated with traits affected by domestication. We found low functional genetic diversity in both mink types, as only four of 17 genes were variable, yet allele frequencies varied widely between captive and wild populations. To determine whether allele frequencies of wild populations were affected by geographic location, we performed redundancy analysis and spatial analysis of principal components on three polymorphic loci (AR, ATN1 and IGF‐1). We found evidence to suggest domestic release events are affecting the functional genetic diversity of wild mink, as sPCA showed clear distinctions between wild individuals near mink farms and those located in areas without mink farms. This is further substantiated through RDA, where spatial location was associated with genetic variation of AR, ATN1 and IGF1.
Projected climate and land use change alter western blacklegged tick phenology, seasonal host‐seeking suitability and human encounter risk in California
Authors: MacDonald Andrew J. , McComb Sofie , O’Neill Craig , Padgett Kerry A. , Larsen Ashley E. 
Published: July 2020

AbstractGlobal environmental change is having profound effects on the ecology of infectious disease systems, which are widely anticipated to become more pronounced under future climate and land use change. Arthropod vectors of disease are particularly sensitive to changes in abiotic conditions such as temperature and moisture availability. Recent research has focused on shifting environmental suitability for, and geographic distribution of, vector species under projected climate change scenarios. However, shifts in seasonal activity patterns, or phenology, may also have dramatic consequences for human exposure risk, local vector abundance and pathogen transmission dynamics. Moreover, changes in land use are likely to alter human–vector contact rates in ways that models of changing climate suitability are unlikely to capture. Here we used climate and land use projections for California coupled with seasonal species distribution models to explore the response of the western blacklegged tick (Ixodes pacificus), the primary Lyme disease vector in western North America, to projected climate and land use change. Specifically, we investigated how environmental suitability for tick host‐seeking changes seasonally, how the magnitude and direction of changing seasonal suitability differs regionally across California, and how land use change shifts human tick‐encounter risk across the state. We found vector responses to changing climate and land use vary regionally within California under different future scenarios. Under a hotter, drier scenario and more extreme land use change, the duration and extent of seasonal host‐seeking activity increases in northern California, but declines in the south. In contrast, under a hotter, wetter scenario seasonal host‐seeking declines in northern California, but increases in the south. Notably, regardless of future scenario, projected increases in developed land adjacent to current human population centers substantially increase potential human–vector encounter risk across the state. These results highlight regional variability and potential nonlinearity in the response of disease vectors to environmental change.
COVID‐19 and Headache Medicine: A Narrative Review of Non‐Steroidal Anti‐Inflammatory Drug (NSAID) and Corticosteroid Use
Authors: Arca Karissa N. , Smith Jonathan H. , Chiang Chia‐Chun , Starling Amaal J. , Robertson Carrie E. , Halker Singh Rashmi B. , Schwedt Todd J. , Kissoon Narayan R. , Garza Ivan , Rozen Todd D. , Boes Christoper J. , Whealy Mark A. , VanderPluym Juliana H. 
Published: July 2020

ObjectiveTo summarize the current literature on non‐steroidal anti‐inflammatory drug and corticosteroid use during the coronavirus disease 2019 (COVID‐19) pandemic, recognizing that these are commonly used treatments in the field of headache medicine.BackgroundThe use of non‐steroidal anti‐inflammatory drugs and corticosteroids in patients during the COVID‐19 pandemic has been a controversial topic within the medical community and international and national health organizations. Lay press and social media outlets have circulated opinions on this topic despite the fact that the evidence for or against the use of these medications is sparse. In the field of headache medicine, these medications are used commonly and both patients and clinicians may have questions or hesitations pertaining to their use during the COVID‐19 pandemic.MethodsA detailed search of the scientific and popular literature was performed.ResultsThere is limited literature pertaining to the safety of non‐steroidal anti‐inflammatory drugs and corticosteroids during the COVID‐19 pandemic. To date, there are no clear scientific data that preclude the use of non‐steroidal anti‐inflammatory drugs in the general population who may acquire COVID‐19 or in those acutely infected with the virus. Several health organizations have concluded that treatment with corticosteroids during active infection should be avoided due to concerns of prolonged viral shedding in the respiratory tract and the lack of survival benefit based on the data from past coronaviruses and influenza virus; specific exceptions exist including treatment for underlying asthma or chronic obstructive pulmonary disease, septic shock, and acute respiratory distress syndrome.ConclusionScientific information regarding the COVID‐19 pandemic is constantly evolving, and limited or contradictory information can lead to confusion for both patients and clinicians. It is recommended that prior to prescribing non‐steroidal anti‐inflammatory drugs and steroids for the treatment of headache, clinicians have open discussions with their patients about the potential risks and benefits of using these medications during the COVID‐19 pandemic. This manuscript summarizes the currently available evidence and understanding about these risks and benefits to help clinicians navigate such discussions.
Consumer guilt and green banking services
Authors: Burhanudin Burhanudin , Ronny Ronny , Sihotang Ellen Theresia 
Published: July 2020

AbstractBanks offer loans to support many projects; however, some of these projects may not give adequate consideration to the environment. Little is known regarding the extent to which banking customers experience guilt when discovering that their bank supports projects that disregard the environment. An experiment with 313 participants was conducted, and the results showed that customers do experience guilt when discovering that their bank supports projects that do not give adequate consideration to the environment. This study found that guilt drives perceived consumer effectiveness and negative word‐of‐mouth regarding banking projects that neglect environmental considerations but not attitudes towards green banking. Negative word of mouth, but not the attitude towards green banking, mediates the effect of perceived consumer effectiveness on the intention to use green banking services. Negative word‐of‐mouth, rather than attitudes towards green banking and its perceived consumer effectiveness, drives the intention to use green banking services. These findings imply that banks need to encourage their customers to perceive that they are eco‐friendly to avoid a significant loss of customers.