bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surface-modified cerium oxide as a corrosion inhibitor to enhance the performance of epoxy coatings
Authors: Dong Yinxia , Zhang Yingjun , Cui Xue-Jun , Li Mingtian , Xie Chun , Pan Zhongwen 
Published: April 2023

Purpose
The study aims to investigate the anticorrosion performance of epoxy coatings using modified cerium oxide (CeO2) by terephthalic acid (CeO2-t) and fumaric acid (CeO2-f) as corrosion inhibitors.

Design/methodology/approach
The chemical state of CeO2-t, and CeO2-f were analyzed by infrared radiation (IR) and X-ray diffraction (XRD). The effect of different inhibitors on the coating properties was analyzed by neutral salt spray tests (NSST) and electrochemical impedance spectroscopy (EIS).

Findings
The results of IR and XRD illustrate that the modification of CeO2 was successful, and fumaric acid underwent a ring-opening reaction with epoxy resin (EP) in the coatings. The results of NSST and EIS showed that the coatings containing CeO2-f exhibited the best anticorrosion performance.

Originality/value
CeO2 is an effective inhibitor of the organic coatings. When surface modified, it is chemically bonded to EP, enhancing the anticorrosion performance of EP.
Online food delivery habits and its environmental impact during the COVID-19 pandemic: an Italian and Polish study
Authors: Varese Erica , Cesarani Maria Chiara , Kabaja Bartłomiej , Sołtysik Mariusz , Wojnarowska Magdalena 
Published: April 2023

PurposeThe purpose of this paper is to investigate, through a quantitative research, the impact of the COVID-19 pandemic on online food delivery in Italy and Poland, as well as to ascertain whether or not, under a consumer perspective, respondents consider such method as impacting on the environment and on food waste.Design/methodology/approachAn empirical survey of consumers at Italian and Polish Universities was conducted using the online survey computer-assisted web interview (CAWI) method.FindingsResults reveal that the COVID-19 pandemic has modified consumer habits in both Italy and Poland, though the researched sample does not have full knowledge of these changes. Moreover, the study has proved once again that online food delivery may impact negatively on the environment and the food waste issue.Originality/valueThis paper fills a gap in literature since, by the authors' knowledge, it is the first quantitative study analysing Italian and Polish young consumers as to online food delivery habits and their approach to sustainability aspects of this purchasing method.
Does workplace toxicity undermine psychological capital (PsyCap) of the employees? Exploring the moderating role of gratitude
Authors: Mahipalan Manju , Garg Naval 
Published: April 2023

Purpose
This paper aims to examine the relationship between workplace toxicity and psychological capital (PsyCap). It also investigates the moderating role of gratitude in the toxicity–PsyCap link.

Design/methodology/approach
The study is based on explorative-cum-descriptive research design. The sample comprises 411 employees engaged in banking, insurance, IT, automobile and oil and gas companies. The collected data is explored for reliability, validity, multicollinearity and common method variance estimates. Also, the relationship between workplace toxicity and PsyCap and the moderating effect of gratitude are examined using structural equation modelling.

Findings
The findings report a negative association between toxicity and PsyCap. Also, the study concludes a significant moderating effect of gratitude. The study recommends the institutionalisation of a gratitude-based organisation to reduce the impact of workplace bullying and uncivil behaviour.

Originality/value
The study is based on primary data and one of the few studies that explore psychological capital as a dependent variable, which is influenced by toxic behaviours at work.
Optimal strategies for nanostores under competition in community group buying
Authors: Shu Lingli , Li Xiaoyan , Liang Xuedong 
Published: April 2023

PurposeFor nanostores, striving to become the community group-buying leader is gaining prominence. This paper aims to construct Hotelling linear models to investigate whether nanostores should be registered as leaders and their decisions in a competitive environment.Design/methodology/approachThis paper constructs three Hotelling linear models: neither nanostore registers as community leader, only one nanostore registers as community leader and both nanostores register as community leader. The competitive operation strategies of two general nanostores under three scenarios are solved.FindingsThe study finds that nanostores without a cost advantage may benefit from being the first leader. The nanostore's preferred decisions depend on the investment cost parameters of its own and competitors which may lead to market share competition. Furthermore, consumers' sensitivity to community group-buying service has a negative effect on nanostores' profit.Originality/valueThe study is one of the few to consider the competition between community leaders. Besides, the study considers that the utilities functions of consumers are concurrently impacted by the service decisions, along with the price in different nanostores. It can provide nanostores useful implications in the dynamic industry.
Library book recommendation with CNN-FM deep learning approach
Authors: Shi Xiaohua , Hao Chen , Yue Ding , Lu Hongtao 
Published: April 2023

PurposeTraditional library book recommendation methods are mainly based on association rules and user profiles. They may help to learn about students' interest in different types of books, e.g., students majoring in science and engineering tend to pay more attention to computer books. Nevertheless, most of them still need to identify users' interests accurately. To solve the problem, the authors propose a novel embedding-driven model called InFo, which refers to users' intrinsic interests and academic preferences to provide personalized library book recommendations.Design/methodology/approachThe authors analyze the characteristics and challenges in real library book recommendations and then propose a method considering feature interactions. Specifically, the authors leverage the attention unit to extract students' preferences for different categories of books from their borrowing history, after which we feed the unit into the Factorization Machine with other context-aware features to learn students' hybrid interests. The authors employ a convolution neural network to extract high-order correlations among feature maps which are obtained by the outer product between feature embeddings.FindingsThe authors evaluate the model by conducting experiments on a real-world dataset in one university. The results show that the model outperforms other state-of-the-art methods in terms of two metrics called Recall and NDCG.Research limitations/implicationsIt requires a specific data size to prevent overfitting during model training, and the proposed method may face the user/item cold-start challenge.Practical implicationsThe embedding-driven book recommendation model could be applied in real libraries to provide valuable recommendations based on readers' preferences.Originality/valueThe proposed method is a practical embedding-driven model that accurately captures diverse user preferences.
Director independence and its influence on corporate social responsibility decisions and performance
Authors: Islam Ranjita , Ali Muhammad , French Erica 
Published: April 2023

Purpose
This study aims to provide an understanding of how directors perceive the relationship between board independence and corporate social responsibility (CSR) performance which has remained under-researched.

Design/methodology/approach
The qualitative data were collected through semi-structured interviews of 19 directors from 14 organisations operating in Australia. Data were analysed following the six-phase process of thematic analysis.

Findings
The findings indicate that independent directors contribute to board CSR decisions in two major ways: they bring an outsider view to the board, and they monitor managers in taking decisions that consider the interests of the broader stakeholder groups.

Research limitations/implications
The in-depth analysis of director independence and CSR highlights the structural and behavioural aspects of director independence and CSR playing out in board rooms. Propositions are offered which can be tested to advance the research in this arena.

Practical implications
The findings suggest that efforts are required at organisational policy level to ensure the effectiveness of director independence for CSR.

Originality/value
This study provides insights into the “black box” of boardroom dynamics highlighting important contextual factors influencing director independence and CSR decisions previously under-explored.
Bacterial inoculation ofQuercus pyrenaicatrees alters co‐occurrence patterns but not the composition of the rhizosphere bacteriome in wild conditions
Authors: Lasa Ana V. , Fernández‐González Antonio J. , Villadas Pablo J. , Cobo‐Díaz José F. , Fernández‐López M. 
Published: April 2023

AbstractQuercus pyrenaicais a woody species of high landscape value, however, its forests show an advanced state of degradation in the Iberian Peninsula. Afforestation typically has low success, thus, it is necessary to improve the fitness of oaks plantlets to be transplanted, for instance, by inoculating beneficial microorganisms. In adding microorganisms to ecosystems, there must be balanced efficacy with potential effects on native microbial communities. We addressed changes in diversity, richness, composition and co‐occurrence networks of prokaryotic communities in the rhizosphere of inoculated and control trees outplanted to three different sites located in the Sierra Nevada National and Natural Park (Spain). After 18 months in wild conditions, we did not detect changes due to the inoculation in the richness, diversity and structure in none of the sites. However, we observed an increase in the complexity of the co‐occurrence networks in two experimental areas. Modularization of the networks changed as a result of the inoculation, although the sense of the change depended on the site. Although it was impossible to unravel the effect of bacterial inoculation, our results highlighted that inoculation alters the association of rhizosphere bacteria without entailing other changes, so networks should be analysed prior to inoculating the plantlets.
PRECeDe Pilot: Prevention of neonatal respiratory distress with antenatal corticosteroids before elective caesarean section in women with diabetes – a feasibility randomised trial
Authors: Said Joanne M. , Karahalios Amalia , Yates Christopher J. , Kevat Devaang A. , Pszczola Rosalynn , Lynch Lee‐Anne , Korevaar Elizabeth , Atallah Klea , Vasilevski Vidanka , Sweet Linda , Doyle Lex W. 
Published: April 2023

AbstractObjectiveThe PRECeDe Pilot Trial was designed to determine the feasibility of undertaking a multicentre, randomised controlled trial (RCT) to assess the efficacy of antenatal corticosteroids administration within 7 days before elective caesarean section (CS) in women with pre‐gestational diabetes (PGDM) or gestational diabetes (GDM).DesignTriple blind, parallel group, placebo‐controlled, pilot RCT.SettingSingle‐centre tertiary maternity hospital in Melbourne, Australia.PopulationPregnant women with PGDM (type 1 or type 2 diabetes) or GDM booked for a planned CS scheduled between 35+0 and 38+6 weeks of gestation.MethodsEligible participants were randomised to receive two injections of either betamethasone 11.4 mg or normal saline placebo, 24 hours apart within 7 days before CS scheduled between 35+0 and 38+6 weeks of gestation.Main Outcome MeasureThe proportion of eligible women who consented and were randomised.Trial RegistrationAustralian and New Zealand Clinical Trials Registry ACTRN12619001475134.ResultsOf 537 women eligible, 182 were approached and 47 (26%) were recruited. Of these, 22 were allocated to the betamethasone group and 25 were allocated to the placebo group. There were no serious adverse events related to participation.ConclusionIt is feasible to undertake a triple‐blind, placebo‐controlled RCT investigating the efficacy of antenatal corticosteroids in preventing respiratory morbidity in infants of women with PGDM or GDM who are undergoing an elective CS between 35+0 and 38+6 weeks.
Transboundary river governance and climate vulnerability: Community perspectives in Nepal’s Koshi river basin
Authors: Maharjan Kiran 
Published: April 2023

AbstractFrequent floods in the Koshi River have left the Nepalese vulnerable to erosion and recurring inundation—especially those living on the floodplains. The situation is worsening because water flow in the river is highly uncertain, affected by rainfall in the mountains and by climate change, and influenced by the Koshi barrage, which is governed by the Koshi River Agreement, a bilateral river agreement with India. This study addresses how Koshi River governance contributes to the vulnerability of riverine communities in Nepal by drawing upon ideas about vulnerability and vulnerability mapping. A household survey and interviews were conducted in 2015 for a comparative study of people living on two river islands located upstream and downstream of the barrage. Findings remain relevant because of persistent governance challenges and growing climate change effects, escalating islanders’ vulnerability to recurrent floods. The islanders’ vulnerability was produced locally and also shaped by historical, social, economic, political, geographical, and ecological processes occurring at multiple scales. That insight highlights the need to study the broader political economy of hazard production to understand vulnerability in the context of governance.
ImprovingICESat‐2‐based boreal forest height estimation by a multivariate sample quality control approach
Authors: Zhang Tianqi , Liu Desheng 
Published: April 2023

AbstractBoreal forest heights are associated with global carbon stocks and energy budgets. The launch of the Advanced Topographic Laser Altimeter System (ATLAS) onboard the NASA's Ice, Cloud and Land Elevation Satellite (ICESat‐2) enables canopy vertical structure measurement at a global scale. However, with a photon‐counting laser system, ICESat‐2 contains high uncertainties in the estimated canopy heights, requiring appropriate quality control before being applied to canopy height modelling.We adopted a multivariate quality control approach (i.e. the Cook's distance) to improve the quality of ICESat‐2 samples. The controlled ICESat‐2 data were then input as the response variable for predicting boreal forest heights based on spatially continuous satellite data and machine learning (ML) regression models. The examined ML regressors include artificial neural networks (ANN), gradient boosting machine (GBM), random forest (RF) and support vector regression (SVR).The proposed quality control effectively removes low‐quality ICESat‐2 samples and enhances the correlations between ICESat‐2 and airborne laser scanning (ALS) observations. Moreover, the controlled ICESat‐2 samples help achieve a trade‐off between sample quality and quantity for all ML regressors, generating close canopy heights to ALS‐derived counterparts. Overall, RF and GBM make better canopy height predictions than ANN and SVR. Of all explanatory variables, the normalized difference vegetation index calculated based on the first red edge band of Sentinel‐2 (NDVIredEdge1) is considered the most important.The proposed quality control on ICESat‐2 sample selection and canopy height model (CHM) development workflow will greatly benefit forest structure investigations in the Arctic community.
A proposed framework for the implementation of head and neck cancer treatment at a new cancer center from a radiation oncology perspective
Authors: Chen Hon Ming N , Anzela Anzela , Hetherington Ebony , Buddle Nicole , Vignarajah Dinesh , Hogan David , Fowler Allan , Forstner Dion , Chua Benjamin , Gowda Raghu , Min Myo 
Published: April 2023

AbstractBackgroundEstablishing a new head and neck cancer (HNC) treatment center requires multidisciplinary team management and expertise. To our knowledge, there are no clear recommendations or guidelines in the literature for the commencement of HNC radiation therapy (RT) at a new cancer center. We propose a novel framework outlining the necessary components required to set‐up a new radiation therapy HNC treatment.MethodsWe reviewed the infrastructure and methodology in the commencement of HNC radiation therapy in our cancer care center and invited several external, experienced metropolitan head and neck radiation oncologists to develop a novel consensus guideline that may be used by new RT centers to treat HNC. Recommendations were presented to our internal and external staff specialists using a survey questionnaire with ratings utilized to determine consensus using pre‐defined thresholds as per the American Society of Clinical Oncology Guidelines Methodology Manual.ConclusionThis consensus recommendation aims to improve RT utilization whilst advocating for optimal patient outcomes by presenting a framework for new radiation therapy centers ready to step up and manage the treatment of head and neck cancer patients. We propose these evidence‐based consensus guidelines endorsed by external HNC radiation oncologists.
Impact of a prenatal screening program on the Down syndrome phenotype: An interrupted time series analysis
Authors: Steffensen Ellen Hollands , Pedersen Lars Henning , Lou Stina , Vogel Ida ,   The Danish Cytogenetic Central Registry Study Group
Published: April 2023

AbstractIntroductionWe hypothesized that children with Down syndrome who were born after the implementation of first‐trimester combined screening for trisomy 13, 18, and 21 and a second‐trimester ultrasound scan in Denmark would show a milder syndrome phenotype. We investigated the birth biometry, prevalence of congenital malformations, and early childhood morbidity of children with Down syndrome before and after implementation of this screening program.Material and methodsA nationwide register‐based study of all live born singletons with Down syndrome in Denmark from 1995 to 2018. In interrupted time series analyses, we studied the temporal developments in birth biometry, prevalence of congenital malformations, and early childhood morbidity related to the implementation of a national prenatal screening program.ResultsWe included 602 singletons with Down syndrome born before and 308 after implementation of the screening program. Z‐scores of birthweight and head circumference increased over time before screening, but this temporal development changed after implementation by −0.05 (95% confidence interval [CI]: −0.11 to 0.01) and −0.05 (95% CI −0.12 to 0.02), respectively. Just after implementation, the prevalence of non‐severe congenital heart disease decreased (relative change in odds 0.48 [95% CI: 0.24–0.94]). For severe congenital heart disease, atrioventricular septal defect, and non‐heart malformations, this change was 1.16 (95% CI: 0.56–2.41), 0.95 (95% CI: 0.43–2.03), and 0.98 (95% CI: 0.33–2.76), respectively. For all malformations, pre‐existing temporal developments did not change following implementation of screening. The implementation was associated with higher odds of admission to a neonatal intensive care unit (relative change 1.98 [95% CI: 0.76–5.26]) and an increased risk of hearing impairment (risk difference 3.4% [95% CI: −0.4% to 7.1%]). In contrast, the implementation was not associated with the incidence of hospital admissions by 2 years of age or with the probability of a thyroid disorder.ConclusionsAfter implementation of a national prenatal screening program, we did not observe a milder Down syndrome phenotype apart from an apparent reduction in the proportion of children with non‐severe congenital heart disease; this result is, however, limited by small numbers.
Twins vs singletons—Long‐term health outcomes
Authors: Wainstock Tamar , Yoles Israel , Sergienko Ruslan , Sheiner Eyal 
Published: April 2023

AbstractIntroductionMultiple gestations are a risk factor for most pregnancy complications. The current study aimed to study whether offspring born after twin pregnancies are at increased risk for long‐term health complications.Material and methodsA retrospective cohort study was conducted in a large medical center, including all offspring born between the years 1991–2021, which were followed‐up until 18 years of age. Hospital‐based diagnoses of the offspring were categorized into main groups of morbidities: cardiac, respiratory, infectious, neurological, malignancy, and metabolic. Incidence of hospitalization with diagnoses from each main group was compared between twins and singletons, as well as time to first hospitalization. Cox proportional hazard models were used to study the association between twins vs singletons and hospitalizations by grouped morbidities, while adjusting for maternal age, ethnicity and gender, besides maternal recurrence in the cohort.ResultsA total of 369 478 offspring were included in the analysis; of these 11 986 (3.2%) were twins and 357 492 (96.8%) were singletons. Twins were more likely to be delivered preterm (odds ratio = 17.65, 95% CI: 16.74–18.60), by cesarean delivery and following infertility treatments. Incidence of hospitalizations with all morbidity groups was slightly, some significantly, higher among twins, including cardiac: 1.9% vs 1.5%, respiratory; 8.4% vs 7.1%, neurological: 7.7% vs 7.4%, infectious: 26.0% vs 24.1%, and malignancies: 0.7% vs 0.4%. The risk remained higher in the multivariable analyses (adjusted hazard ratios ranging between 1.09–1.75). When stratifying by gestational age at delivery, the risk for most morbidities was lower among twins vs singletons born in similar gestational ages.ConclusionsTwins as compared to singletons are at increased risk for most morbidities due to their risk of being born earlier.
Bi-Level Structured Functional Analysis for Genome-Wide Association Studies
Authors: Wu Mengyun , Wang Fan , Ge Yeheng , Ma Shuangge , Li Yang 
Published: April 2023

Abstract
Genome-wide association studies (GWAS) have led to great successes in identifying genotype–phenotype associations for complex human diseases. In such studies, the high dimensionality of single nucleotide polymorphisms (SNPs) often makes analysis difficult. Functional analysis, which interprets SNPs densely distributed in a chromosomal region as a continuous process rather than discrete observations, has emerged as a promising avenue for overcoming the high dimensionality challenges. However, the majority of the existing functional studies continue to be individual SNP based and are unable to sufficiently account for the intricate underpinning structures of SNP data. SNPs are often found in groups (e.g., genes or pathways) and have a natural group structure. Additionally, these SNP groups can be highly correlated with coordinated biological functions and interact in a network. Motivated by these unique characteristics of SNP data, we develop a novel bi-level structured functional analysis method and investigate disease-associated genetic variants at the SNP level and SNP group level simultaneously. The penalization technique is adopted for bi-level selection and also to accommodate the group-level network structure. Both the estimation and selection consistency properties are rigorously established. The superiority of the proposed method over alternatives is shown through extensive simulation studies. A type 2 diabetes SNP data application yields some biologically intriguing results.