bluuebunny/crossref_metadata_2025_split huggingface dataset:
RNA in extracellular vesicles during adolescence reveal immune, energetic and microbial imprints of early life adversity
Authors: Korobkova L , Morin EL , Aoued H , Sannigrahi S , Garza KM , Siebert ER , Walum H , Cabeen RP , Sanchez MM , Dias BG 
Published: February 2023

AbstractExposure to early life adversity (ELA), including childhood maltreatment, is one of the most significant risk factors for the emergence of neuropsychiatric disorders in adolescence and adulthood. Despite this relationship being well established, the underlying mechanisms remain unclear. One way to achieve this understanding is to identify molecular pathways and processes that are perturbed as a consequence of childhood maltreatment. Ideally, these perturbations would be evident as changes in DNA, RNA or protein profiles in easily accessible biological samples collected in the shadow of childhood maltreatment. In this study, we isolated circulating extracellular vesicles (EVs) from plasma collected from adolescent rhesus macaques that had either experienced nurturing maternal care (CONT) or maternal maltreatment (MALT) in infancy. RNA sequencing of RNA in plasma EVs and gene enrichment analysis revealed that genes related to translation, ATP synthesis, mitochondrial function and immune response were downregulated in MALT samples, while genes involved in ion transport, metabolism and cell differentiation were upregulated. Interestingly, we found that a significant proportion of EV RNA aligned to the microbiome and that MALT altered the diversity of microbiome-associated RNA signatures found in EVs. Part of this altered diversity suggested differences in prevalence of bacterial species in CONT and MALT animals noted in the RNA signatures of the circulating EVs. Our findings provide evidence that immune function, cellular energetics and the microbiome may be important conduits via which infant maltreatment exerts effects on physiology and behavior in adolescence and adulthood. As a corollary, perturbations of RNA profiles related to immune function, cellular energetics and the microbiome may serve as biomarkers of responsiveness to ELA. Our results demonstrate that RNA profiles in EVs can serve as a powerful proxy to identify biological processes that might be perturbed by ELA and that may contribute to the etiology of neuropsychiatric disorders in the aftermath of ELA.
Surveillance ofNeisseria meningitidisCarriage Four Years After menACWY Vaccine Implementation in the Netherlands Reveals Decline in Vaccine-type and Rise in Genogroup E Circulation
Authors: Miellet Willem R. , Pluister Gerlinde , Sikking Meike , Tappel Marcia , Karczewski Jurgen , Visser Linda J. , Bosch Thijs , Trzciński Krzysztof , Mariman Rob 
Published: February 2023

ABSTRACTCarriage ofNeisseria meningitidisis an accepted endpoint in monitoring meningococcal vaccine effects. We applied molecular methods to assess the impact of menACWY vaccine implementation on meningococcal carriage and genogroup-specific prevalence in young adults in Fall of 2022, four years after the introduction of the tetravalent vaccine in the Netherlands. The overall carriage rate of genogroupable meningococci was not significantly different compared to the pre-menACWY cohort investigated in 2018 (20.8% or 125 of 601 versus 17.4.% or 52 of 299 individuals,p=0.25). Of n=125 carriers of genogroupable meningococci n=122 (97.6%) were positive for either vaccine-types menC, menW, menY or non-vaccine types menB, menE, menX and menZ, Compared with a pre-vaccine-implementation baseline, there was 3.8-fold reduction (p<0.001) in vaccine-type carriage rates and 9.0-fold increase (p<0.0001) in non-vaccine type menE prevalence. These findings imply that menACWY vaccination reduced circulation of vaccine-type meningococci, but lead to serogroup replacement in carriage.
Pitting corrosion of 2A12 aluminum alloy long-scale specimen in simulated seawater splash zone, dynamic waterline zone and full immersion zone
Authors: Zhu Yesen , Hu Taoyong , Li Yujie , Hao Junhua , Han Bin , Yuan Quan 
Published: February 2023

Purpose
The aim of this paper is to construct a device that simulated the seawater splash zone, dynamic waterline zone (splash zone) and full immersion zone. Localized corrosion of 2A12 aluminum alloy long-scale specimen was studied.

Design/methodology/approach
Corrosion morphologies before and after the corrosion product removal were used to identify corrosion intensity at full seawater immersion zone, dynamic waterline zone (splash zone) and atmospheric zone. The average depth and diameter of corrosion pits in the three zones were evaluated by three-dimensional optical microscopy. The impact of wetting time of the atmospheric zone on the localized corrosion was investigated.

Findings
Corrosion pits were observed on the surface on day 4 for the wetted atmospheric zone (Case 1), and on the surface on day 8 for the alternant wet/dry atmospheric zone (Case 2). The corrosion product layer on the surface for Case 1 was partially broken down while the layer on the surface for Case 2 was intact. Average pitting depth and pitting diameters for Case 1 were more serious than that for Case 2.

Originality/value
The above findings revealed that the humidity of the atmospheric zone had great impact on the localized corrosion of aluminum alloy at the seawater splash zone.
The practice of consanguineous marriage and the risk of diabetes among offspring in the province of Tetouan (Morocco)
Authors: Hajjaji Mohamed , Khadmaoui AbdErrazzak , El Bakkali Mohamed 
Published: February 2023

PurposeThe practice of consanguinity has been culturally preferred in most Arab countries, including Morocco. This behavior leads to an increase in genetic abnormalities, such as hypertension and diabetes. This paper examines the prevalence and determinants of first-cousin marriages and their impact on diabetes among offspring.Design/methodology/approachData on 882 couples were collected through face-to-face interview via a pre-established questionnaire based on the variables selected within the objectives of this study. The authors used the multiple logistic regression modeling procedure in this study.FindingsThe results of the study indicate that the prevalence of first-cousin marriages were 15% among students’ parents. From the multiple logistic regression modeling, the authors found a significant effect of paternal and maternal grandparents’ first-cousins marriage on that of parents (aOR = 3.27 and aOR = 3.36, respectively). However, an 11-fold higher risk of first relative marriages among parents once the paternal and maternal grandparents were first-cousins and the father was illiterate (aOR = 11.01). Moreover, the authors reported a diabetes risk of more than 14 times when the effects of first-cousin maternal grandparents and parents and the hypertension among mother or her sibling were combined (aOR = 14.48) or when the effects of first-cousins maternal grandparents, first-cousin parents and mother’s age at marriage between 21 and 29 years were combined (aOR = 14.56).Originality/valueFirst-cousin marriage depends on the father’s illiteracy and the consanguinity of grandparents’ factors. The cumulative effect of first-cousin marriage among grandparents, parents and a family history of hypertension among mother or her sibling increase the risk of diabetes among these mothers.
Is China ready for change? Consumer behaviour towards buying plant-based meat alternatives: applying the COM-B model
Authors: Jiang Mingyu , Farag Karim W. 
Published: February 2023

PurposeMany consumers express interest in plant-based meat alternatives (PBMA); however, they are reluctant to change their meat consumption behaviour. To support the transition to a “meat-free” diet, it is necessary to understand the influencing factors to purchase PBMA. This study responds to a gap in the literature and aims to explore the factors influencing Chinese consumers' willingness to purchase PBMA in terms of “Capability, Motivation and Opportunity”.Design/methodology/approachCross-sectional data were collected through an online survey in China (n = 591). Correlation testing and multiple linear regression were used to identify factors that may influence consumers' willingness to purchase PBMA by applying the COM-B model; which refers to Capability (C), opportunity (O), and motivation (M) as three key factors capable of changing behaviour (B).FindingsThe results show that consumers with better income and education are more likely to consume PBMA. Familiarity with purchasing channels and cooking knowledge were “capability” catalyst for purchase intentions; support from people around and who also consume PBMA provided opportunities; animal welfare, food safety, sustainability and emotional benefits were motivating factors for facilitation. With capabilities and opportunities, consumers are more likely to be motivated to purchase PBMA. It was also clear, environmental support and appropriate purchasing conditions overweigh knowledge and previous experience in motivating PBMA purchase. Additionally, the study found that familiarity, past experience, high status symbols of meat and health concerns were positively associated with but did not affect purchase intentions (p > 0.05).Social implicationsThe current study did not find a substitution effect for PBMA, as participants tended to consider PBMA as a type of meat and did not substitute it for their daily meat consumption unless motivated.Originality/valueThis study provides a theoretical framework and insights for future research, and production companies can develop marketing initiatives based on the contributing factors using the COM-B model.
The relative importance of culture in urban tourism: implications for segmentation
Authors: Smith Melanie Kay , Pinke-Sziva Ivett , Berezvai Zombor 
Published: February 2023

Purpose
This paper aims to contribute to urban tourism segmentation studies by examining the role of culture as a motivation for city visits, different preferences for activities and the demographic factors that influence activity choices. This study also compares the memorability of the trip across the segments identified based on their undertaken activities.

Design/methodology/approach
This paper draws on questionnaire data that was collected from 614 tourists in Budapest, Hungary. Tourist segmentation was based on a two-step procedure: principal component analysis and Hierarchical Cluster Analysis. Multinomial logistic regression was applied to reveal the effect of different demographic and travel-related characteristics on the segments.

Findings
The research revealed that cultural activities are still the most important motivation for urban tourists and that cultural tourists constitute the biggest segment (43%). They show a preference for heritage sites, museums and galleries rather than performing arts and festivals. Multinomial logistic regression showed that party tourists can be differentiated from cultural tourists and city break tourists predominantly by age and travel status. Older age groups and women are more likely to be interested in heritage sites, museums and galleries. Party tourists found their experience significantly more memorable than any other group and were much more likely to re-visit and recommend.

Research limitations/implications
Overall, this study provides useful information for destination management organisations and city agencies about which activities to promote and how to segment and potentially target tourists. This study did not include lifestyle and personality factors, secondary and complementary attractions or cultural proximity and distance.

Originality/value
There have been relatively few recent studies on urban cultural tourism segmentation, especially in whole destinations rather than at individual attractions, it was therefore considered timely to re-visit this area of research. This paper reinforces the importance of segmentation studies in tourism and analyses the changing motivations and activity preferences of urban cultural tourists over time.
The impact of managerial ability on corporate tax risk and long-run tax avoidance: empirical evidence from a developing country
Authors: Saragih Arfah Habib , Ali Syaiful 
Published: February 2023

Purpose
The purpose of this study is to examine the impact of managerial ability on corporate tax risk and long-term tax avoidance using the upper echelons theory.

Design/methodology/approach
This study uses a quantitative method with regression models, using a sample of listed firms on the Indonesia Stock Exchange from 2011 to 2018.

Findings
The regression results report that managerial ability negatively influences tax risk and positively impacts long-run tax avoidance. Companies with more able managers have a relatively lower tax risk and greater long-run tax avoidance. The results reveal that firms with managers that possess greater abilities are more committed to long-run tax avoidance while concurrently maintaining a lower level of their tax risk. The impacts the authors report are statistically significant and robust, as proved by a series of robustness checks and additional tests.

Research limitations/implications
This study only includes firms from one developing country.

Practical implications
The empirical results might be of interest to board members while envisaging the benefits and costs of appointing and hiring managers, as well as to the tax authority and the other stakeholders interested in apprehending how managerial ability influences corporate tax risk and long-run tax avoidance practices simultaneously.

Originality/value
This study proposes and tests an explanation for the impact of managerial ability on corporate tax risk and long-run avoidance simultaneously in the context of an emerging country.
Grounding system impedance influence on the surge arrester frequency-dependent model parameters using PSO-GWO algorithm
Authors: Khodsuz Masume , Mashayekhi Valiollah 
Published: February 2023

Purpose
This paper aims to focus on the inclusion of the frequency behavior of grounding system effect on surge arrester (SA) model parameters’ estimation.

Design/methodology/approach
The grounding system impedance and its frequency behavior are the factors that have influence on the SA performance. Up to now, the grounding system impedance effect and the frequency behavior of the soil parameters have not been studied for the estimation of the parameters of the SA frequency-dependent model. In this paper, the grounding system’s influence on the SA dynamic model has been simulated for rod- and counterpoise-shaped electrodes. Particle swarm optimization with a grey wolf optimization algorithm has been implemented as an optimization algorithm to adjust the parameters of the SA dynamic model.

Findings
The results show that the frequency behavior of the grounding impedance and soil electrical parameters can impress the optimum parameters of the SA frequency-dependent model and should be considered for more reliable results. Also, the results evidence that the proposed optimization method provides more accurate results compared to other optimization methods.

Originality/value
To the best of the authors’ knowledge, this work is one of the first attempts to investigate the effect of frequency grounding system on SA frequency-dependent model parameters.
Sharing intractably tacit knowledge: the case for nepotistic selection
Authors: Powell Benjamin C. 
Published: February 2023

Purpose
This paper focuses on the problem of knowledge that is difficult to share because it cannot be articulated: intractably tacit knowledge. It offers knowledge sharing between relatives or friends, a nepotistic practice, as a potential solution.

Design/methodology/approach
Analysis of a US Supreme Court decision in favor of a nepotistic hiring practice provides insights into how such a nepotistic approach can facilitate the sharing of intractably tacit knowledge. The paper builds on this analysis to articulate the conditions under which nepotistic selection can be useful to managers.

Findings
The US Supreme Court decided in favor of a nepotistic hiring practice based on its potential effectiveness in selecting and developing river pilots. Such a nepotistic approach is problematic, but it can be valuable in a very specific and narrow application, i.e., when organizations need to transfer intractably tacit knowledge. A nepotistic approach should thus be employed only if the benefit of sharing intractably tacit knowledge exceed the cost of nepotism. Organizations should enhance the benefit by ensuring effective knowledge transfer and reduce the cost by mitigating the discrimination and inequity that nepotism enhances.

Originality/value
While much has been written on tacit knowledge, the portion of tacit knowledge that cannot be articulated has been ignored in some studies and neglected in others. Managers responsible for the sharing of such knowledge need guidance. This paper explores an unusual solution: nepotistic selection.
How the consequences of the COVID-19 pandemic affected housing sector? Empirical evidence from Turkey
Authors: Cutcu Ibrahim , Atay Guven , Gerlikhan Selcuk Gokhan 
Published: February 2023

PurposeThis study aims to analyze the relationship between the consequences of the pandemic and the housing sector with econometric tests that allow for structural breaks.Design/methodology/approachStudy data were collected weekly between March 9, 2020, and February 4, 2022, and analyzed for Turkey. In the model of the study, housing loans were used as a housing market indicator, and the number of new deaths and new cases were used as data related to the pandemic. The exchange rate, which affects the use of housing loans, was added to the model as a control variable. This study was analyzed to examine the relationship between the pandemic and the housing sector, time series analysis techniques that allow structural breaks were used.FindingsBased on the result of the analyses, it was concluded that there is a long-run relationship between the pandemic stages and housing markets along with structural breaks. As a result of the time-varying causality test developed to determine the causality relationship between the variables and its direction, a bidirectional causality relationship was identified between all variables at certain dates.Research limitations/implicationsStudy data were collected weekly between March 9, 2020, and February 4, 2022, and analyzed in the case of Turkey.Practical implicationsBased on results of the study, it is recommended that policy makers and market actors take into account extraordinary situations such as pandemics and create a budget allocation that is always ready to use for this purpose.Originality/valueThe empirical examination of the relationship between the pandemic and the housing sector in Turkey provides originality to this study in terms of its topic, sample, methodology, contribution to the literature and potential policy recommendations.
The importance of specific open innovation practices for radical innovations within companies of different sizes
Authors: Aničić Zorica 
Published: February 2023

PurposeThe prevailing view in the existing literature is that open innovations (OI) increase the innovative performance of enterprises. The author examines whether the same OI practices are equally important for sole entrepreneurs, micro firms, small firms, medium-sized and large enterprises in introducing radical innovations and which set of OI practices is best for a firm, given the firm's size.Design/methodology/approachIn this study probit models were used on a sample of 915 innovative Serbian enterprises.FindingsOI is important for all enterprises introducing radical innovations. However, not all OI practices are equally effective in each enterprise size group. The set of OI practices leading to radical innovations depends on the firm size. Cooperation with others is not important for sole entrepreneurs and micro and large companies in introducing radical innovations. Still, cooperation's role is predominant in small and medium-sized enterprises. Also, certain OI practices are important for all enterprises, whilst others do not contribute to radical innovations, regardless of the firm size.Practical implicationsOwners/managers can save considerably by avoiding the allocation of resources to OI practices that result in little to no contribution to radical product commercialisation. At the macroeconomic level, these findings can help policymakers create adequate (tailor-made) public policies to achieve innovation in each specific group of firms.Originality/valueThis study demonstrates that not all OI practices are equally important for achieving radical production solutions in each group of enterprises.
iRelevancy: a framework to identify the relevancy of a social media message to a disaster
Authors: Singla Annie , Agrawal Rajat 
Published: February 2023

Purpose
This study aims to propose a novel deep learning (DL)-based framework, iRelevancy, for identifying the disaster relevancy of a social media (SM) message.

Design/methodology/approach
It is worth mentioning that a fusion-based DL model is introduced to objectively identify the relevancy of a SM message to the disaster. The proposed system is evaluated with cyclone Fani data and compared with state-of-the-art DL models and the recent relevant studies. The performance of the experiments is assessed by the accuracy, precision, recall, f1-score, area under receiver operating curve and precision–recall curve score.

Findings
The iRelevancy leads to a better performance in accuracy, precision, recall, F-score, the area under receiver operating characteristic and area under precision-recall curve, compared to other state-of-the-art methods in the literature.

Originality/value
The predictive performance of the proposed model is illustrated with experimental results on cyclone Fani data, along with misclassifications. Further, to analyze the performance of the iRelevancy, the results on other cyclonic disasters, i.e. cyclone Titli, cyclone Amphan and cyclone Nisarga are presented. In addition, the framework is implemented on catastrophic events of different natures, i.e. COVID-19. The research study can assist disaster managers in effectively maneuvering disasters during distress.
DisDSS: a novel Web-based smart disaster management system for determining the nature of a social media message for decision-making using deep learning – case study of COVID-19
Authors: Singla Annie , Agrawal Rajat 
Published: February 2023

Purpose
This paper aims to propose DisDSS: a Web-based smart disaster management (DM) system for decision-making that will assist disaster professionals in determining the nature of disaster-related social media (SM) messages. The research classifies the tweets into need-based, availability-based, situational-based, general and irrelevant categories and visualizes them on a web interface, location-wise.

Design/methodology/approach
It is worth mentioning that a fusion-based deep learning (DL) model is introduced to objectively determine the nature of an SM message. The proposed model uses the convolution neural network and bidirectional long short-term memory network layers.

Findings
The developed system leads to a better performance in accuracy, precision, recall, F-score, area under receiver operating characteristic curve and area under precision-recall curve, compared to other state-of-the-art methods in the literature. The contribution of this paper is three fold. First, it presents a new covid data set of SM messages with the label of nature of the message. Second, it offers a fusion-based DL model to classify SM data. Third, it presents a Web-based interface to visualize the structured information.

Originality/value
The architecture of DisDSS is analyzed based on the practical case study, i.e. COVID-19. The proposed DL-based model is embedded into a Web-based interface for decision support. To the best of the authors’ knowledge, this is India’s first SM-based DM system.