bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resistance to gender education: a case study of a kindergarten in Italy
Authors: De Simone Silvia , Pileri Jessica 
Published: June 2022

PurposeDespite repeated attempts to implement gender education in schools, numerous forms of resistance still persist, maintaining the current gender order, especially in Italy. Thus, in this paper, the authors focus on the practices of resistance opposed to gender education in kindergarten.Design/methodology/approachThis study takes a qualitative approach, and data collection was conducted using ethnographic observations, a focus group and an in-depth interview. The authors used critical discourse analysis (cf: Fairclough's three-dimensional model).FindingsAs per our findings, teachers' resistance is attributed to “hegemonic masculinity” and “essentialism”. In the case of “hegemonic masculinity”, the discourses emphasise that male feminisation is a threat and female masculinisation is harmless. On the “essentialist” side, teachers' discourses focus on the segregation of genders that justify naturalised gender differences.Practical implicationsThis study emphasises the need for specific training for figures as important and authoritative as teachers. In addition to the training of teachers who currently work in kindergarten, it is also necessary to address the issue at the institutional level, adding to the university courses the teaching of specific subjects related to gender.Social implicationsThis paper offers causes for reflection on a profession that has profound implications in our society and about the power of resistance to implementing gender education. The implications are discussed.Originality/valueDifferent data sources are used simultaneously to disclose discursive practices of resistance to gender education in Italy.
Interdependencies between financial and non-financial performances: a holistic and short-term analytical perspective
Authors: Cupertino Sebastiano , Vitale Gianluca , Taticchi Paolo 
Published: June 2022

PurposeThis paper aims to investigate possible interdependencies affecting short-term profitability between internal and process business aspects which can play a critical role in sustainability operationalisation.Design/methodology/approachThe authors adopted the panel data approach to perform a partial least square structural modelling equation analysis on a sample of 391 Organisation for Economic Co-operation and Development (OECD) non-financial-listed companies, considering a timeframe of five years.FindingsCorporate sustainability is a result of interplays between managerial commitment, strategy, slack resources’ exploitation, innovation, the sustainable management of internal production and procurement processes that managers can catalyse to foster short-term firms’ profitability.Research limitations/implicationsThe study is focused on internal process business determinants of sustainability, and the analysis is limited to a short-term timeframe and on non-financial OECD-listed companies.Practical implicationsManagers searching for trade-offs between financial and non-financial performances should enhance their commitment towards sustainability by defining appropriate strategies suitable to employ mainly slack resources derived from core business activities enabling innovation processes, which, in turn, are able to foster sustainability of internal production and procurement processes.Originality/valueThe execution of sustainability is a complex process that needs to be investigated using a holistic approach net of endogeneity biases to better appreciate those interrelationships within multiple drivers determining the firm sustainable growth.
A digital transformation-enabled framework and strategies for public health risk response and governance: China's experience
Authors: Lee Ching-Hung , Wang Dianni , Lyu Shupeng , Evans Richard David , Li Li 
Published: June 2022

PurposeUnder uncertain circumstances, digital technologies are taken as digital transformation enablers and driving forces to integrate with medical, healthcare and emergency management research for effective epidemic prevention and control. This study aims to adapt complex systems in emergency management. Thus, a digital transformation-driven and systematic circulation framework is proposed in this study that can utilize the advantages of digital technologies to generate innovative and systematic governance.Design/methodology/approachAiming at adapting complex systems in emergency management, a systematic circulation framework based on the interpretive research is proposed in this study that can utilize the advantages of digital technologies to generate innovative and systematic governance. The framework consists of four phases: (1) analysis of emergency management stages, (2) risk identification in the emergency management stages, (3) digital-enabled response model design for emergency management, and (4) strategy generation for digital emergency governance. A case study in China was illustrated in this study.FindingsThis paper examines the role those digital technologies can play in responding to pandemics and outlines a framework based on four phases of digital technologies for pandemic responses. After the phase-by-phase analysis, a digital technology-enabled emergency management framework, titled “Expected digital-enabled emergency management framework (EDEM framework)” was adapted and proposed. Moreover, the social risks of emergency management phases are identified. Then, three strategies for emergency governance and digital governance from the three perspectives, namely “Strengthening weaknesses for emergency response,” “Enhancing integration for collaborative governance,” and “Engaging foundations for emergency management” that the government can adopt them in the future, fight for public health emergency events.Originality/valueThe novel digital transformation-driven systematic circulation framework for public health risk response and governance was proposed. Meanwhile, an “Expected digital-enabled emergency management framework (EDEM model)” was also proposed to achieve a more effective empirical response for public health risk response and governance and contribute to studies about the government facing the COVID-19 pandemic effectively.
Modeling self-identification, memorable tourism experience, overall satisfaction and destination loyalty: empirical evidence from small island destinations
Authors: Kahraman Onur Cuneyt , Cifci Ibrahim 
Published: June 2022

PurposeAlthough many studies addressed destination marketing concepts, the relationship between self-identification, memorable tourism experiences, overall satisfaction, and destination loyalty in small island destinations remains unknown. To address this issue, the authors established a model based on social identity theory to investigate the effects of self-identification on overall satisfaction and loyalty, taking into account the mediating role of memorable tourism experiences.Design/methodology/approachDrawing on 335 useable questionnaires from the visitors of Princes' Islands in Turkey, a quantitative study approach was administrated to empirically analyze a partial least squares path model in PLS-SEM.FindingsThe findings revealed that self-identification positively affects memorable tourism experiences, overall satisfaction, and destination loyalty. The findings also confirm the indirect effects of self-identification on overall satisfaction and destination loyalty through mediating the role of memorable tourism experiences.Research limitations/implicationsThe findings of the study will be useful both theoretically and practically. Theoretically, this research will be important to determine tourist behavior through the viewpoint of self-identification in the context of a small island destination. Practically, the findings of this study will assist small island destinations' policymakers and practitioners to develop strategies and make effective future actions.Originality/valueThis is the first study that uses a complete structural model linking self-identification, memorable tourism experiences, overall satisfaction, and destination loyalty.
Libraries, decolonization and the data deluge
Authors: Frederick Donna Ellen 
Published: June 2022

Purpose
The purpose of this study is to bring attention to the topics of colonization and decolonization in libraries by helping librarians to see how many library practices and policies are embedded in and arise from the dominant culture and can unwittingly function to subjugate the culture, language and worldview of indigenous peoples.

Design/methodology/approach
This column defines colonization and decolonization, demonstrates how and why libraries are agents of colonization and examines examples of practices and policies in need of decolonization.

Findings
While it may be challenging for librarians to detect colonizing elements in libraries because most of them are embedded in the dominant culture, it is possible to learn how to find them by listening to indigenous communities and gaining a better understanding of their worldview. Even so, decolonization is not an easy task because so much is already invested in the status quo and libraries often function with minimal or diminishing resources.

Originality/value
While there have been studies writing about specific aspects of bias and colonization in libraries, there is not much attention paid to the bigger picture of this topic. For example, the idea that the book-based culture of libraries conflicts with some facets of indigenous oral cultures is not widely discussed elsewhere, but it is addressed in this column.
A programme curricula evaluation framework as a pillar of internal quality assurance
Authors: Paşaoğluları Şahin Nil , Olgaç Türker Özlem 
Published: June 2022

Purpose
This study aims to explore ways of developing, implementing and validating a new framework and criteria for self-evaluation of programme curricula, with specific reference to the quality assurance certification process in a particular case.

Design/methodology/approach
The framework is developed using a case study research methodology and implemented based on criteria extraction through the triangulation of indicators achieved from internal goals and external directives.

Findings
The findings reveal that this is an improvement-led framework that can be adapted to other contexts during the quality assurance processes to facilitate periodical programme evaluations with a focus on the curriculum.

Research limitations/implications
The proposed practical tool is developed for the programme evaluation process with a curricular focus during the quality assurance certification process of an interior architectural programme while enlightening the processes for the periodical self-evaluations of other institutions. The framework depends on both institution-specific internal and external directives and fulfilling curriculum-related criteria of the European Standards and Guidelines for Quality Assurance.

Originality/value
Within quality assurance processes, despite external quality assurance mechanisms, there is a shortage of self-evaluation tools for internal quality assurance procedures, which allow the dissociation of programme-specific qualities. The proposed framework is developed as an example of a self-tailored internal quality assurance tool and process for educational institutions to reveal their unique qualities.
Tree biodiversity in northern forests shows temporal stability over 35 years at different scales, levels and dimensions
Authors: Crockett Erin T. H. , Vellend Mark , Bennett Elena M. 
Published: June 2022

Abstract

At global scales, species richness is declining. However, at local scales, understanding exactly how, where and why biodiversity is changing becomes challenging since researchers have assessed biodiversity trends using different indicators, data sources and methods (e.g. repeated measurements at the same site over time vs. space‐for‐time substitutions).

In this study, we present a multifaceted analysis of biodiversity change by assessing how tree diversity in Québec, Canada changed between two sampling periods (1970–1977 and 2005–2016), in regards to different: levels of diversity (alpha diversity, temporal turnover and spatial beta diversity), dimensions of diversity (taxonomic, functional and phylogenetic), metrics of diversity (presence–absence and abundance based), and spatial scales of analysis (plot, 50, 100 and 200 km). We then assess how well potential drivers of biodiversity change (climate change and land cover change) explain the observed changes in alpha diversity. Since the data came from plots that remained forested over the course of the study, we used historical land cover change data and scenario analyses to test whether results from forest plots were likely to be representative of the broader landscape.

Across all levels, dimensions, metrics and spatial scales of analysis, we found either increases or no net change in diversity over time, with wide distributions of values around the mean. Presence–absence metrics often indicated increases in diversity over time, while abundance‐based metrics were more likely to show no net change. Potential drivers such as climate change and land cover change explained only a small fraction of the variation in alpha diversity change (i.e. why particular sites experienced positive vs. negative change) at the plot scale (adjusted R2 ≈ 0.03), but a greater fraction at coarser spatial scales (adjusted R2 of ~0.10 to ~0.50). Results from these forest plots are likely representative of the diversity change within the study region, since estimates of alpha diversity change only became negative under scenarios with the most extreme disturbance impacts.

Synthesis. None of our indicators showed evidence of declines in alpha or beta diversity of trees in temperate and boreal forests in Quebec (except for simulations with extremely high forest loss), but we did find temporal turnover in composition. Our results go beyond previous studies by analysing the many different aspects of biodiversity that might change over time, highlighting the need to shift from blanket descriptions of ‘biodiversity loss’ to more nuanced discussions around ‘biodiversity change’.
Inhibitors of ABCB1 and ABCG2 overcame resistance to topoisomerase inhibitors in small cell lung cancer
Authors: Omori Miwako , Noro Rintaro , Seike Masahiro , Matsuda Kuniko , Hirao Mariko , Fukuizumi Aya , Takano Natsuki , Miyanaga Akihiko , Gemma Akihiko 
Published: June 2022

AbstractBackgroundSmall cell lung cancer (SCLC) is a highly aggressive disease with a poor prognosis. Although most patients initially respond to topoisomerase inhibitors, resistance rapidly emerges. The aim, therefore, is to overcome resistance to topoisomerase I (irinotecan) or II (etoposide) inhibitors in SCLCs.MethodsTo identify key factors in the chemoresistance of SCLCs, we established four cell lines resistant to etoposide or an active metabolite of irinotecan, SN‐38, from SCLC cell lines and evaluated RNA profiles using parental and newly established cell lines.ResultsWe found that the drug efflux protein, ATP‐binding cassette sub‐family B member 1 (ABCB1), was associated with resistance to etoposide, and ATP‐binding cassette sub‐family G member 2 (ABCG2) was associated with resistance to SN‐38 by RNA sequencing. The inhibition of ABCB1 or ABCG2 in each resistant cell line induced synergistic apoptotic activity and promoted drug sensitivity in resistant SCLC cells. The ABC transporter inhibitors, elacridar and tariquidar, restored sensitivity to etoposide or SN‐38 in in vitro and in vivo studies, and promoted apoptotic activity and G2‐M arrest in resistant SCLC cells.ConclusionsABC transporter inhibitors may be a promising therapeutic strategy for the purpose of overcoming resistance to topoisomerase inhibitors in patients with SCLC.
Principled, practical, flexible, fast: A new approach to phylogenetic factor analysis
Authors: Hassler Gabriel W. , Gallone Brigida , Aristide Leandro , Allen William L. , Tolkoff Max R. , Holbrook Andrew J. , Baele Guy , Lemey Philippe , Suchard Marc A. 
Published: June 2022

AbstractBiological phenotypes are products of complex evolutionary processes in which selective forces influence multiple biological trait measurements in unknown ways. Phylogenetic comparative methods seek to disentangle these relationships across the evolutionary history of a group of organisms. Unfortunately, most existing methods fail to accommodate high‐dimensional data with dozens or even thousands of observations per taxon. Phylogenetic factor analysis offers a solution to the challenge of dimensionality. However, scientists seeking to employ this modelling framework confront numerous modelling and implementation decisions, the details of which pose computational and replicability challenges.We develop new inference techniques that increase both the computational efficiency and modelling flexibility of phylogenetic factor analysis. To facilitate adoption of these new methods, we present a practical analysis plan that guides researchers through the web of complex modelling decisions. We codify this analysis plan in an automated pipeline that distils the potentially overwhelming array of decisions into a small handful of (typically binary) choices.We demonstrate the utility of these methods and analysis plan in four real‐world problems of varying scales. Specifically, we study floral phenotype and pollination in columbines, domestication in industrial yeast, life history in mammals and brain morphology in New World monkeys.General and impactful community employment of these methods requires a data scientific analysis plan that balances flexibility, speed and ease of use, while minimizing model and algorithm tuning. Even in the presence of non‐trivial phylogenetic model constraints, we show that one may analytically address latent factor uncertainty in a way that (a) aids model flexibility, (b) accelerates computation (by as much as 500‐fold) and (c) decreases required tuning. These efforts coalesce to create an accessible Bayesian approach to high‐dimensional phylogenetic comparative methods on large trees.
Management of suspected and confirmedCOVID‐19 (SARS‐CoV‐2) vaccine hypersensitivity
Authors: Worm Margitta , Alexiou Aikaterina , Bauer Andrea , Treudler Regina , Wurpts Gerda , Dickel Heinrich , Buhl Timo , Müller Sabine , Jung Andreas , Brehler Randolf , Fluhr Joachim , Klimek Ludger , Mülleneisen Norbert , Pfützner Wolfgang , Raap Ulrike , Roeseler Stefani , Schuh Sandra , Timmermann Hartmut , Heine Guido , Wedi Bettina , Brockow Knut 
Published: June 2022

AbstractBackgroundSystemic allergic reactions to vaccines are very rare. In this study we assessed the management and outcome of suspected SARS‐CoV‐2 vaccine hypersensitivity.MethodsTotally, 334 individuals underwent an allergy work up regarding SARS‐CoV‐2 vaccination (group A: 115 individuals suspected to be at increased risk for vaccine‐related reactions before vaccination and group B: 219 patients with reactions after COVID vaccination). The large majority of the SPT/IDT with the vaccines were negative; however, we identified in 14.1% (n = 47) a possible sensitization to the SARS‐CoV‐2 vaccine and/or its ingredients defined as one positive skin test. Of the 219 individuals (group B) who experienced symptoms suspicious for a hypersensitivity reaction after vaccination, 214 were reported after the first vaccination with a mRNA vaccine (157 mRNA (Comirnaty®, 38 Spikevax®) and 18 with a vector vaccine (Vaxzevria®), 5 cases were after the second vaccination.ResultsThe symptom profile in group B was as follows: skin symptoms occurred in 115 cases (n = 59 angioedema,n = 50 generalized urticaria andn = 23 erythema/flush. Seventy individuals had cardiovascular, 53 respiratory and 17 gastrointestinal symptoms. Of the overall 334 individuals, 78 patients tolerated (re)‐vaccination (out of skin test positive/negative 7/19 from group A and 17/35 from group B).ConclusionProven IgE‐mediated hypersensitivity to SARS‐CoV‐2 vaccines is extremely rare and not increased in comparison with reported hypersensitivity to other vaccines. The value of skin tests is unclear and nonspecific reactions, in particular when intradermal testing is applied, should be considered.
Epidermal growth factor receptor activation confers resistance to lenvatinib in thyroid cancer cells
Authors: Ohno Koichi , Shibata Tomohiro , Ito Ken‐ichi 
Published: June 2022

AbstractThyroid cancer is the most common endocrine malignancy. A multitargeted tyrosine kinase inhibitor, lenvatinib, has been used for the treatment of advanced thyroid cancer. To elucidate the mechanism of resistance to lenvatinib in thyroid cancer cells, we established lenvatinib‐resistant sublines and analyzed the molecular mechanisms of resistance. Two thyroid cancer cell lines (TPC‐1 and FRO) were used, and resistant sublines for lenvatinib (TPC‐1/LR, FRO/LR) were established. In TPC‐1/LR, the phosphorylation of epidermal growth factor receptor (EGFR), extracellular signal‐regulated kinase (ERK), and Akt was enhanced whereas in FRO/LR, the phosphorylation of EGFR and downstream signal transduction molecules was not enhanced. The addition of epidermal growth factor decreased sensitivity to lenvatinib in TPC‐1 and FRO. The combination of EGFR inhibitors lapatinib and lenvatinib significantly inhibited the growth of TPC‐1/LR in both in vitro and mouse xenograft models. Short‐term exposure to lenvatinib enhanced the phosphorylation of EGFR in six thyroid cancer cell lines regardless of their histological origin or driver gene mutations; however, phosphorylation of ERK was enhanced in all cells except TPC‐1. A synergistic growth‐inhibitory effect was observed in three thyroid cancer cell lines, including intrinsically lenvatinib‐resistant cells. The results indicate that signal transduction via the EGFR pathway may be involved in the development of lenvatinib resistance in thyroid cancer cells. The inhibition of the EGFR pathway simultaneously by an EGFR inhibitor may have therapeutic potential for overcoming lenvatinib resistance in thyroid cancer.
Clinical and genetic characterization of CACNA1A‐related disease
Authors: Lipman Amy R. , Fan Xiao , Shen Yufeng , Chung Wendy K. 
Published: June 2022

AbstractPathogenic variants in the CACNA1A gene have been associated with episodic ataxia type 2, familial hemiplegic migraine, and spinocerebellar ataxia 6. With increasing use of clinical genetic testing, associations have expanded to include developmental delay, epilepsy, paroxysmal dystonia, and neuropsychiatric disorders. We report 47 individuals with 33 unique likely pathogenic or pathogenic CACNA1A variants. A machine learning method, funNCion, was used to predict loss‐of‐function (LoF)/gain‐of‐function (GoF) impact of genetic variants, and a heuristic severity score was designed to analyze genotype/phenotype correlations. Commonly reported phenotypes include developmental delay/intellectual disability (96%), hemiplegic migraines (36%), episodic ataxia type 2 (32%), epilepsy (55%), autism spectrum disorder (23%), and paroxysmal tonic upward gaze (36%). Severity score was significantly higher for predicted GoF variants, variants in the S5/S6 helices, and the recurrent p.Val1392Met variant. Seizures/status epilepticus were correlated with GoF and were more frequent in those with the p.Val1392Met variant. Our findings demonstrate a breadth of disease severity in CACNA1A‐related disease and suggest that the clinical phenotypic heterogeneity likely reflects diverse molecular phenotypes. A better understanding of the natural history of CACNA1A‐related disease and genotype/phenotype correlations will help inform prognosis and prepare for future clinical trials.