bluuebunny/crossref_metadata_2025_split huggingface dataset:
Latino Population Growth and the Changing Demography of Cancer
Authors: Sáenz Rogelio 
Published: November 2022

AbstractOver the last several decades, the Latino population has been the primary driver of US population growth. It is likely that the large growth of the Latino population is affecting the changing demography of cancer. This chapter features two analyses. The first analysis examines the absolute increases in cancer cases and deaths between 1999 and 2016 to assess the relative share of the growth that took place among Latinos. The second analysis develops projections of Latino cancer cases and deaths between 2016 and 2060 to determine the Latino share of the projected increase in cancer. The analysis was conducted with information from the CDC US Cancer Statistics public data and the US Census Bureau population projections. The results illustrate the growing presence of Latinos among cancer cases and deaths over the last 18 years and over the next four decades. The Latino incidence of cancer more than doubled and their number of cancer deaths nearly doubled between 1999 and 2016. The findings also suggest that these trends will intensify between 2016 and 2060. The chapter concludes with a discussion of the policy implications of the results.
Population Health Challenges for Latinos in the United States
Authors: Ortega Alexander N. 
Published: November 2022

AbstractThis chapter provides an overview of recent natural experiments, demonstrating the effects of the Patient Protection and Affordable Care Act (ACA) on health-care disparities for Latino adults and youth. In brief, the ACA has had positive impacts on health-care access and utilization for Latinos, but disparities persist. Moreover, inequities in access to care are more pervasive for Mexicans and Central Americans, particularly for those who are noncitizens and live in states that have not expanded Medicaid as part of the ACA. Current policy dilemmas are discussed including the growth of Latino populations in states that have not expanded Medicaid and recent anti-immigrant rhetoric and border enforcement.
Precision Medicine Approaches for Stratification and Development of Novel Therapies of Latin(x) Patients at Risk of Lung Malignancy
Authors: Ramos Kenneth S. , Guerra Stefano , El-Zein Randa 
Published: November 2022

AbstractPrecision medicine has emerged as an optimal health-care delivery platform, which emphasizes integration of individual patient characteristics into patient care. For lung cancer, precision approaches have focused mostly on targeted therapies directed at tyrosine kinases and immunotherapy. It is proposed that refinements should focus on improved risk stratification of patients at heightened risk of lung malignancy, namely patients with chronic obstructive pulmonary disease (COPD). African ancestry is associated with worsened clinical outcomes in COPD and lung cancer, which is relevant for Latinx populations given that varying degrees of African ancestry exist among several Latinx subgroups. The work reviewed here focuses on ORF1p, a protein encoded by Long Interspersed Element-1 (LINE-1) and associated with genetic instability. Because high expression of ORF1p is associated with poor prognosis in patients with non-small-cell lung cancer (NSCLC), it is hypothesized that circulating ORF1p can be monitored as a proxy of genetic instability in patients with COPD and lung cancer. Circulating ORF1p levels correlate with FEV1 deficits and airflow limitation (the hallmark of COPD) in former smokers, and tissue expression of ORF1p is increased in TP53 mutant NSCLC compared to wildtype. Understanding the role of ORF1p in COPD and lung cancer and its utility as a biomarker of genetic instability may lead to advances in lung cancer care and development of novel targeted therapies.
Defining the Research Object
Authors: Heikkilä Riie 
Published: November 2022

AbstractThis chapter argues that in our era of cultural divides, researching cultural practices can be complicated. It is explained that ‘lacking’ cultural participation appears as something that belongs to the territory of the popular and working classes, which further devalues cultural non-participation. Furthermore, this chapter explains in detail the research design and introduces the data set (40 individual interviews and 9 focus groups) and the sampling strategy. All interviewees could not unambiguously be categorised as ‘working class’, but in general one could characterise them as ‘underprivileged popular classes’. The main analytic tools—close reading and thematic analysis—are explained in detail. It is argued that both individual and focus groups interviews were needed to provide both individual perspectives and common negotiations on the topic.
Resistance
Authors: Heikkilä Riie 
Published: November 2022

AbstractThis chapter focuses on the resistance discourse which is inclined towards popular and everyday cultural participation. The discourse is based on an opposition to the norm of highbrow-oriented cultural participation. Most methodological challenges of the interviews are especially related to this discourse. The boundaries drawn in the resistance discourse are basically all directed upwards. They are either aesthetical (directed against highbrow-oriented cultural practices) or moral (directed against people considered snobbish). There is strong awareness of exploitation in the resistance discourse. People close to the resistance discourse are aware of their low status, but they call for being treated as equals. In the resistance discourse, clearly situated the furthest away from normative cultural participation, there is a desire for egalitarianism.
Government employment and local multipliers in Greek municipalities
Authors: Roupakias Stelios 
Published: November 2022

AbstractThis paper studies the impact of the remarkable increase in the share of public employment on the private sector across 156 Greek municipalities using Census data (1981–2011). To capture causal effects, we implement an instrumental variables approach, based on a shift-share design. We find that an additional job in the public sector creates nearly 0.7 jobs in the non-tradable sector (construction and services), whilst no significant effects are detected for the tradable sector (manufacturing). The findings appear to be robust to different estimation strategies, spillovers from contiguous regions, and to the inclusion of confounding factors. Importantly, we document that the most recent decline in the number of public servants did not significantly affect the private sector.
Gender Identification Beyond the Binary and Its Consequences for Social Well-Being
Authors: Wickham Miriam Ines , van Nunspeet Félice , Ellemers Naomi 
Published: November 2022

AbstractRecent societal initiatives (e.g., gender-neutral toilets, clothing, and language) highlight the ongoing shift of gender away from binary categories: “man” and “woman.” We identified and investigated two reasons for this shift: that many people may not identify with strictly binary categories and that this may have negative social consequences. Employing a multiple-identification model, we measured intergroup self-categorization with both men and women (Studies 1 and 2), as well as with a “third gender” (Study 3) and investigated how multiple identifications are related to social well-being (Studies 2 and 3). In Study 1 (N = 182, mean age = 32.74, 121 women), we found that a binary model was not the best fit for our gender identification data. In Study 2 (N = 482, mean age = 30.98, 240 AFABs), we found four clusters of gender identification, replicating previous research. Furthermore, we found that gender non-conforming participants reported being less able to be their authentic selves than binary participants. We also found that participants who identified lowly with both binary genders reported lower well-being in general (belongingness, self-esteem, life satisfaction, positive affect). In Study 3 (N = 280, mean age = 36.97, 140 AFABs), we found that asking about a third gender seemed to change how much participants reported identifying with men and women. We also found that gender non-conforming participants reported lower authenticity, belongingness, and self-esteem. We conclude that moving away from binary categories of gender may be beneficial to many non-conforming people of different nationalities, including cisgender, heterosexual people.
The Association Between Persistence and Change in Behavioral Difficulties During Early to Middle Childhood and Cognitive Abilities at Age 8
Authors: Neumann Denise , Peterson Elizabeth R. , Underwood Lisa , Morton Susan M.B. , Waldie Karen E. 
Published: November 2022

AbstractWe investigated the association between persistence and change in behavioral difficulties during early to middle childhood and several cognitive outcomes. We observed 3904 8-year-olds enrolled in the longitudinal study Growing Up in New Zealand (50% male/female; 23% Māori, 9% Pacific Peoples, 13% Asian, 2% Middle Eastern/Latin American/African, 9% Other, 43% European). The NIH Toolbox Cognition Battery was used to assess cognitive functioning at 8 years and the Strengths and Difficulties Questionnaire for behavioral difficulties at 4.5 and 8 years. Multivariate logistic regression analyses were conducted, controlling for well-known sociodemographic confounders. Children with persistent or later onset of behavioral difficulties were at higher risk for poorer vocabulary, reading, inhibitory control/attention, episodic memory, working memory and processing speed at age 8 compared to children with no or improved difficulties. Our study supports the importance of addressing both cognitive and behavioral aspects when planning educational programmes and interventions in early and middle childhood.
Stable and actionable explanations of black-box models through factual and counterfactual rules
Authors: Guidotti Riccardo , Monreale Anna , Ruggieri Salvatore , Naretto Francesca , Turini Franco , Pedreschi Dino , Giannotti Fosca 
Published: November 2022

AbstractRecent years have witnessed the rise of accurate but obscure classification models that hide the logic of their internal decision processes. Explaining the decision taken by a black-box classifier on a specific input instance is therefore of striking interest. We propose a local rule-based model-agnostic explanation method providing stable and actionable explanations. An explanation consists of a factual logic rule, stating the reasons for the black-box decision, and a set of actionable counterfactual logic rules, proactively suggesting the changes in the instance that lead to a different outcome. Explanations are computed from a decision tree that mimics the behavior of the black-box locally to the instance to explain. The decision tree is obtained through a bagging-like approach that favors stability and fidelity: first, an ensemble of decision trees is learned from neighborhoods of the instance under investigation; then, the ensemble is merged into a single decision tree. Neighbor instances are synthetically generated through a genetic algorithm whose fitness function is driven by the black-box behavior. Experiments show that the proposed method advances the state-of-the-art towards a comprehensive approach that successfully covers stability and actionability of factual and counterfactual explanations.
A novel material based on an antibacterial choline-calixarene nanoassembly embedded in thin films
Authors: Ferreri Loredana , Consoli Grazia M. L. , Clarizia Gabriele , Zampino Daniela C. , Nostro Antonia , Granata Giuseppe , Ginestra Giovanna , Giuffrida Maria L. , Zimbone Stefania , Bernardo Paola 
Published: November 2022

AbstractSupramolecular chemistry is one of the current strategies for producing advanced materials. With the aim to develop new Thin-Films with antibacterial activity, we embedded an amphiphilic choline-calix[4]arene possessing antibacterial properties in polymeric Thin-Films based on polyether-co-amide matrix (Pebax®2533). The loading of the calix[4]arene derivative in the film was performed by solution casting. The amount of calixarene additive in the films was in the range of 0.5–5 wt%. The self-supported Thin-Films were characterized by investigating phase miscibility, morphology, spectral properties, and gas transport. The release of the calixarene derivative from the films was studied in a biomimetic medium as PBS (10 mM, pH 7.4). The presence of the additive did not affect the thermal stability of the copolymer, whereas it induced an increase in crystallinity, wettability, and gas permeability of the blend films according to its concentration. The antibacterial activity of the films was evaluated in vitro against Escherichia coli and Staphylococcus aureus strains, representative of Gram-negative and Gram-positive bacteria. The developed films displayed antibacterial activity against both strains. In particular, Pebax® − 5 wt% Chol-Calix caused within 10 h a reduction in E. coli and S. aureus of 2.57 and 2 log CFU/mL, respectively. The potential toxicity of the films was also tested on mouse embryonic fibroblasts NIH/3T3. Pebax®2533/calixarene derivative combination appears a promising approach for the development of novel flexible antibacterial materials.
Graphical abstract
Reduction in radioactive internal contamination by 99mTc among medical personnel in nuclear medicine facilities with the use of respiratory tract protection measures
Authors: Brudecki Kamil , Borkowska Eliza , Gorzkiewicz Krzysztof , Kostkiewicz Magdalena , Misiak Ryszard , Mróz Tomasz , Nalichowska Ewa 
Published: November 2022

AbstractThe main objective of the present publication was to assess the reduction of internal radioactive contamination with 99mTc among medical personnel of nuclear medicine facilities using generally available respiratory tract protection systems. During the current research project, four respiratory tract protection systems were tested by estimation of 99mTc activity levels in blood samples collected from medical personnel. Medical staff were equipped with a disposable surgical mask, a half mask with gas absorbers, a half mask with aerosol absorbers and a half mask with gas absorbers with added Petryanov filter. The presented results indicate that wearing only a disposable surgical mask may significantly reduce radioactive internal contamination among medical personnel and improve their safety in the workplace. The best results of reduced 99mTc concentration in the blood were achieved by the use of a half mask with gas absorbers with added Pertryanov filters and a half mask with aerosol absorbers, where the reduction factors were estimated at 90% and 80%, respectively. Respiratory tract protection systems should become standard equipment for medical personnel performing ventilation–perfusion SPECT lung scans.
Cavitation over solid surfaces: microbubble collapse, shock waves, and elastic response
Authors: Abbondanza Dario , Gallo Mirko , Casciola Carlo Massimo 
Published: November 2022

AbstractWe discuss the interaction of the strongly nonlinear fluid motion induced by the collapse of a vapor microbubble over a planar surface and the elastic dynamics of the underlying solid. The fluid is described using an extension of the Navier-Stokes equations endowed with distributed capillary stresses in the context of a diffuse interface approach. The collapse of the bubble is triggered by overpressure in the liquid and leads to an intense jet that pierces the bubble, changing the bubble topology from spheroidal to toroidal, and impinges the solid wall inducing an intense and strongly localized load. Moreover, at bubble collapse, a compression wave is launched into the liquid surrounding the bubble. By propagating along the solid surface, the compression wave combined with the liquid jet excites the dynamics of the elastic solid, producing a complex system of waves, including, longitudinal, transversal, and Rayleigh waves, propagating in the solid. It is conjectured that the intense deformation of the solid induced by the strongly localized liquid jet may lead to the plastic deformation of the solid producing the surface pitting observed in many applications subject to cavitation-induced material damage.
TRIM11, a new target of p53, facilitates the migration and invasion of nasopharyngeal carcinoma cells
Authors: Zhao Ziyi , Deng Jinkuang , Lu Ming , Yang Jun , Chen Linlin , Li DianYuan , Sang Yi 
Published: November 2022

Abstract
Background
Although tripartite motif-containing protein 11 (TRIM11) is known to be associated with a variety of cancers, its role in nasopharyngeal carcinoma (NPC) is unclear.

Methods and results
To investigate the role of TRIM11 in NPC, TRIM11 was stably overexpressed in 6–10B and CNE2 cells with lentiviral vectors and knocked down in S18 and 5–8F cells using the CRISPR/Cas9 system. Transwell assays and wound-healing assays revealed that TRIM11 facilitated the migration and invasion of NPC cells. Mechanistically, we found that p53 inhibits TRIM11 expression by binding to its promoter.

Conclusions
TRIM11 may serve as a potential diagnostic marker for NPC and has a certain therapeutic value.
TPGS Decorated Liposomes as Multifunctional Nano-Delivery Systems
Authors: Farooq Muhammad Asim , Trevaskis Natalie L. 
Published: November 2022

AbstractLiposomes are sphere-shaped vesicles that can capture therapeutics either in the outer phospholipid bilayer or inner aqueous core. Liposomes, especially when surface-modified with functional materials, have been used to achieve many benefits in drug delivery, including improving drug solubility, oral bioavailability, pharmacokinetics, and delivery to disease target sites such as cancers. Among the functional materials used to modify the surface of liposomes, the FDA-approved non-ionic surfactant D-alpha-tocopheryl polyethylene glycol succinate (TPGS) is increasingly being applied due to its biocompatibility, lack of toxicity, applicability to various administration routes and ability to enhance solubilization, stability, penetration and overall pharmacokinetics. TPGS decorated liposomes are emerging as a promising drug delivery system for various diseases and are expected to enter the market in the coming years. In this review article, we focus on the multifunctional properties of TPGS-coated liposomes and their beneficial therapeutic applications, including for oral drug delivery, vaccine delivery, ocular administration, and the treatment of various cancers. We also suggest future directions to optimise the manufacture and performance of TPGS liposomes and, thus, the delivery and effect of encapsulated diagnostics and therapeutics.
Nanotechnology-Based Nucleic Acid Vaccines for Treatment of Ovarian Cancer
Authors: Gildiz Simav , Minko Tamara 
Published: November 2022

AbstractAnticancer vaccines represent a promising approach for effective treatment of cancer and along with recent advantages of nucleic acid-based vaccines for other diseases form a prospective and potentially efficacious direction of the research, development and clinical applications. Despite the ongoing several clinical trials of mRNA vaccines for the treatment of various types of cancer, to-date no cancer vaccines were approved by the US Food and Drug Administration. The present review analyzes and summarizes major approaches for treating of different forms of ovarian cancer including mRNA-based vaccines as well as nanotechnology-based approaches for their delivery.Graphical Abstract
Searching for migration: estimating Japanese migration to Europe with Google Trends data
Authors: Leysen Bert , Verhaeghe Pieter-Paul 
Published: November 2022

AbstractIn recent research, Google Trends data has been identified as a potentially useful data source to complement or even replace otherwise traditional data for predicting migration flows. However, the research on this is in its infancy, and as of yet suffers from a distinctive Western bias both in the topics covered as in the applicability of the methods. To examine its wider utility, this paper evaluates the predictive potential of Google Trends data, which captures Google search frequencies, but applies it to the case of Japanese migration flows to Europe. By doing so, we focus on some of the specific challenging aspects of the Japanese language, such as its various writing systems, and of its migration flows, characterized by its relative stability and sometimes limit size. In addition, this research investigates to what extent Google Trends data can be used to empirically test theory in the form of the aspirations and (cap)ability approach. The results show that after careful consideration, this method has the potential to reach satisfactory predictions, but that there are many obstacles to overcome. As such, sufficient care and prior investigation are paramount when attempting this method for less straightforward cases, and additional studies need to address some of the key limitations more in detail to validate or annul some of the findings presented here.
Understanding the meanings of citations using sentiment, role, and citation function classifications
Authors: Budi Indra , Yaniasih Yaniasih 
Published: November 2022

AbstractTraditional citation analyses use quantitative methods only, even though there is meaning in the sentences containing citations within the text. This article analyzes three citation meanings: sentiment, role, and function. We compare citation meanings patterns between fields of science and propose an appropriate deep learning model to classify the three meanings automatically at once. The data comes from Indonesian journal articles covering five different areas of science: food, energy, health, computer, and social science. The sentences in the article text were classified manually and used as training data for an automatic classification model. Several classic models were compared with the proposed multi-output convolutional neural network model. The manual classification revealed similar patterns in citation meaning across the science fields: (1) not many authors exhibit polarity when citing, (2) citations are still rarely used, and (3) citations are used mostly for introductions and establishing relations instead of for comparisons with and utilizing previous research. The proposed model’s automatic classification metric achieved a macro F1 score of 0.80 for citation sentiment, 0.84 for citation role, and 0.88 for citation function. The model can classify minority classes well concerning the unbalanced dataset. A machine model that can classify several citation meanings automatically is essential for analyzing big data of journal citations.