bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Migrant Care Work Regime and the Making of the Constant‐Care Worker Among Indian Immigrant Nurses
Authors: Banerjee Pallavi , O. Thomas Carieta 
Published: November 2024

ABSTRACTIndian nurses coming to the U.S. on H‐1B visas that tie them to employers are often the breadwinner for spouses and other family members on dependant visas, where the dependant spouses do not have the ability to work due to visa regulations, thus upsetting complex gender dynamics in the household. In this paper, we investigate how Indian immigrant nurses in the U.S. navigate their status as the primary migrant and, family breadwinner with the incessant feminizing discourse of immigrant nurses as selfless healers. The paper is based on in‐depth interviews with 30 Indian migrant nurses and their husbands, 10 immigration experts such as lawyers, legislators and activists, 3 years of ethnography in nursing conferences that Indian nurses in the U.S. attended, and in the homes and churches that the nurses and their families attended. Using the construct of “the caring self” our analysis shows that the nurses are continuously subjected to the discourse of nursing work as healing work in formal and informal contexts such as, by recruitment agencies, at nursing conferences, by superiors and peers at work, in their churches and at home. The internalization of the discourse of immigrant nurses as healers often prevent the nurses from processing and verbalizing their gendered and racialized experiences at work, demands of caregiving at home and the community at large. Nursing work as healing work becomes their path toward making of the caring self in the new country. As such, we argue that immigrant nurses operate in a “migrant care work regime” which is bolstered by the intersections of migration policies and a feminized and racialized discourse of migrant nursing work, creating the trope of the constant care worker that shapes the material realities of nurses as immigrant women care workers in the U.S.
Oldest‐in‐Human Successful Extraction Experience of a Novel Substernal Extravascular Defibrillator
Authors: Chauhan Karanjeet , Royse Alistair , Goh Ian , Crozier Ian , Wynn Gareth 
Published: November 2024

ABSTRACTIntroductionSubsternal extravascular defibrillators (EV ICDs) have been shown to be effective and safe for patients at risk of sudden cardiac death, however, there is little evidence around the safety of extracting chronic devices.Methods and ResultsWe present a 50‐year‐old patient in whom a Medtronic EV ICD system was successfully removed without specialist extraction tools, 186 weeks after implantation, by an operator experienced in transvenous lead extraction but without formal training in EVICD implantation.ConclusionThe successful extraction of an EV ICD system is possible without specialised tools at least 3.6 years post‐implant.
Global material flows and resource productivity: The 2024 update
Authors: Schandl Heinz , Marcos‐Martinez Raymundo , West James , Miatto Alessio , Lutter Stephan , Lieber Mirko , Giljum Stefan , Lenzen Manfred , Li Mengyu , Wang Heming , Tanikawa Hiroki , Krausmann Fridolin , Eisenmenger Nina , Fischer‐Kowalski Marina 
Published: November 2024

AbstractAccurate assessments of global primary material extraction, trade of primary materials and products, material use, waste, and emissions support the development of policies that facilitate the decoupling of economic activity, natural resource use, and related environmental impacts. Here, we quantify all crucial aspects of global and country‐by‐country material requirements needed to fuel economic activities, covering both territorial‐ and demand‐based indicators. These data have been assembled by a consortium of research partners that compile the global material flow and resource productivity online database for the International Resource Panel, which contributes to the global dataset for the System of Environmental–Economic Accounting (SEEA) framework and is employed to monitor progress for the Sustainable Development Goal (SDG) indicators 8.4 and 12.2. We present the main findings of the 2024 update, including methodological improvements and result differences, and discuss the main findings and limitations. Since the last update, we have identified a slowing of global materials extraction since about 2014, a continuation of solid growth in direct trade of materials and products, persistent inequality in resource use between high‐ and low‐income countries, and a prolonged improvement in global material productivity. The full dataset used herein can be downloaded from the Global Material Flow Database hosted by the United Nations Environment Program International Resource Panel.
Have Autocrats Governed for the Long Term?
Authors: Millemaci Emanuele , Monteforte Fabio , Temple Jonathan R. W. 
Published: November 2024

ABSTRACTThe short answer is: probably not. We infer the priorities of national governments from observed outcomes, constructing a statistical proxy for long‐term benevolence. Using data between 1960 and 2019 for more than 100 countries, we show that, on average, democracies score more highly on our measure. We then investigate whether variation in long‐term benevolence can explain the ‘autocratic gamble’—the well‐known tendency for growth rates to vary more widely across autocracies than across democracies. We show that the distribution of long‐term benevolence under democracy first‐order stochastically dominates its distribution under autocracy. Put differently, although there is an autocratic gamble in growth rates, there is no autocratic gamble in wider development outcomes. The rapid growth seen in some autocracies probably originates in regime self‐interest rather than unusually benevolent leadership.
Cultural Aspects of Tax Preferences in Transition Economies
Authors: Andriani Luca , Ashyrov Gaygysyz , Douarin Elodie 
Published: November 2024

ABSTRACTIn this work, we look at the role played by cultural values on individuals' tax preferences towards contributing to public goods. More specifically, looking at the transition economies of Central and Eastern Europe (CEE) and the Former Soviet Union (FSU), we analyse the role of specific cultural values in the willingness of an individual to pay more taxes with the aim of improving public good provision relating to education, health and support of people in need, as well as to combat climate change. To this purpose, we integrate Hofstede's cultural dichotomy individualism–collectivism with Schwartz's cultural dichotomy embeddedness–autonomy, as both capture similar values regarding group interest and self‐determination. We posit that individual values aligned with the concept of individualism/autonomy will be associated with a greater willingness to contribute towards public good provision. Our analysis exploits data from the third wave of the Life in transition Survey (2015–2016). Our analyses reveal that respondents' willingness to contribute to different types of public and common goods is positively associated with them holding values compatible with individualism/autonomy. These associations are statistically significant and robust to changes in specifications and estimators and to changes in the sample investigated..
Misogyny, politics, and social media determinants of hostile engagement against women parliamentarians on Twitter
Authors: Boukemia Jana , Sältzer Marius , Boyer Sébastien 
Published: November 2024

AbstractPoliticians use social media to engage directly with the public using diverse communication styles including aggressive or uncivil language. Yet, little is known about gender differences in politicians' communication styles and their subsequent online reactions. In this study, we investigate whether women politicians who use critical or insulting language on Twitter face disproportionate backlash compared to men politicians. To test our hypothesis, we employ a self‐developed supervised language classifier to categorize @‐mentions of parliamentarians into two incivility levels: criticism and insults. We find that men and women MPs tweet with a similar level of incivility, including both critical and insulting language. For critical language, we find that both men and women MPs receive more critical responses when sending a higher number of critical tweets. In the case of insulting language, we find evidence of a gendered pattern: Compared to men MPs, women MPs receive a higher number of insulting tweets but can reduce such responses to a small degree when being more insulting themselves. These findings underscore that female MPs navigate a more hostile online environment that compels them to use more insulting language as a means of self‐defense.
Effectiveness of oral health educational program on the knowledge and practice of institutionalized orphan children in Alexandria, Egypt
Authors: Mohamed Osama Safwat , Ahmed Ahmed Elsayed , Adam Yara Mohamed , ElSayed Menna Mohammed , Hall Mohamed Ashraf , Karawia Inas 
Published: November 2024

AbstractAimThis study aimed to measure dental caries and to evaluate the improvement in the knowledge and practice of Orphan Children after implementing an educational program.Materials and MethodsThis study was an intervention pre‐post design that included 80 children, aged 6–12 years. Intervention with an oral health education program was introduced to the orphans. The data was collected at baseline using a questionnaire to collect data about the knowledge, practice, and examination of DMFT (decayed, missing, and filled permanent teeth), dft (decayed, filled deciduous teeth), and OHI‐S (oral hygiene index‐simplified) was done. The knowledge part of the questionnaire was distributed immediately after the intervention. After 6 months, the knowledge, practice, and OHI‐S index were determined, the data were then analyzed using Mann–Whitney A U non‐parametric test, Wilcoxon matched pair signed rank test, and Fridman's 2‐way ANOVA test in SPSS version 25 software.Results89% of the children had dental caries, with mean DMFT 2.23 ± 2.1 among males and 3.3 ± 2.3 among females, dft among males was 3.1 ± 2.5 and 3.3 ± 2.1 among females. The mean score of OHI‐S significantly decreased after health education intervention from 4.79 ± 1.4 to 0.62 ± 1.0. Mean scores of total knowledge and practice significantly increased after 6 months from 3.4 ± 1.3 to 7.1 ± 1.1 and 1.3 ± 0.9 to 4.9 ± 0.3, respectively.ConclusionsThe orphans had moderate DMF and dft, fair knowledge about their oral cavity, poor OHI‐S, and practices at baseline. The educational program had succeeded in improving their knowledge and practice.
Old And New Diversities In Schools: Exploring Teachers’ Experiences with Migrant Students In South Tyrol's Rigidly Divided School System
Authors: Landini Irene 
Published: November 2024

AbstractIn the past decade, we witnessed a rise in the study of the relationships between “old” national (autochthonous) minority groups (ethnic, linguistic minorities) and “new” international immigrants within contexts defined as “divided societies” (as defined by Lijphart, 2004). Scholars have investigated the political strategies and the policies which have been put in place by political parties and government elites representing national minority groups, to accommodate this new migrant‐driven diversity. However, the perspective and everyday experiences of micro‐level social actors have been largely under‐investigated. The present article contributes to the academic debate about the relationship between old and new minorities by providing a fresh and bottom‐up perspective through which to explore the complexities of these dynamics. The analysis focuses on the domain of education, looking at how teachers belonging to autochthonous national minorities understand and accommodate “new” forms of diversity and challenges originating from immigration, in an ethnically and linguistically divided society, i.e., the city of Bolzano. The research also highlights some elements that may speak to other linguistically divided contexts beyond the one considered in this article.The final findings open to new scenarios on the potential power of political narratives and institutional arrangements on the relationships of minority teachers with migrants in linguistically divided societies. Moreover, the article corroborates findings by previous studies on immigrant integration paradigms and existing challenges, about the needs to consider the bottom‐up strategies of the micro‐level local social actors (like teachers), to reach a more comprehensive understanding of migrant integration dynamics, especially at the local level.
Effects of Moderate and Heavy Slow Resistance Training on Achilles and Patellar Tendons and Muscles Aponeuroses in Elderly Men
Authors: Létocart Adrien J. , Couppé Christian , Mabesoone Franck , Charleux Fabrice , Marin Frédéric , Dermigny Quentin , Magnusson S. Peter , Svensson Rene B. , Grosset Jean‐François 
Published: November 2024

ABSTRACTTo investigate the effect of moderate or heavy slow resistance training on structural and mechanical properties of patellar and Achilles tendons in older men, in vivo. Healthy older men (n = 27) undertook a 12‐week resistance training program (3 times/week) of triceps surae and quadriceps muscle‐tendon complexes. Participants were randomly assigned to either a moderate load of 55% 1RM (O55, n = 13, age: 70.0 ± 4.6 years) or a progressively heavier load from 55% up to 80% 1RM (O80, n = 14, age: 69.8 ± 4.4 years). Tendon morphology was investigated using a 1.5 T MRI scanner. Mechanical properties of the free Achilles tendon (AT) and medial gastrocnemius (MG) aponeurosis, patellar tendon (PT), and deep aponeurosis of the vastus lateralis (VL) muscle were assessed using ultrasound imaging. Both training programs led to an increase in mean CSA of the PT (O55; +2.7%, O80; +1.7%, p = 0.002) and AT (O55; +2.8%, O80; +2.5%, p < 0.001). Force and stress were increased for all the four regions investigated, while stiffness and Young's modulus assessed at a common force level were only increased for the AT and VL aponeurosis. No interaction between group and time was demonstrated for any of the outcomes. No interaction between time and the four tendon sites was observed for any of the outcomes at common force. A supervised short‐term heavy or moderate slow resistance training of equal volume yielded an increase in tendon size and altered mechanical properties of tendinous tissue.
A network‐analytic perspective on 30 years of personality research
Authors: Sciberas Chris , Miller Ian Dennis , Fournier Marc A. 
Published: November 2024

AbstractThe current research adopted a network‐analytic approach to summarize the changes within the field of personality psychology over a 30‐year span from 1990 to 2019. Bibliographic data from 25,238 articles were used to construct three separate co‐authorship networks respectively representing the patterns of collaboration within each decade of personality research (i.e., 1990–1999, 2000–2009, and 2010–2019). The network properties of each co‐authorship graph suggested that personality researchers have become more interconnected and collaborative with each successive decade. An examination of the semantic content of these articles suggested that the synthesis of clinical and normative trait models, along with the integration of traditional person and situation perspectives, may be driving the increased connectivity and collaboration between researchers. We hope that this novel application of network‐analytic and machine‐learning principles can serve as proof of concept for future efforts to summarize a scientific literature.
Language Production and Prediction in a Parallel Activation Model
Authors: Pickering Martin J. , Strijkers Kristof 
Published: November 2024

AbstractStandard models of lexical production assume that speakers access representations of meaning, grammar, and different aspects of sound in a roughly sequential manner (whether or not they admit cascading or interactivity). In contrast, we review evidence for a parallel activation model in which these representations are accessed in parallel. According to this account, word learning involves the binding of the meaning, grammar, and sound of a word into a single representation. This representation is then activated as a whole during production, and so all linguistic components are available simultaneously. We then note that language comprehension involves extensive use of prediction and argue that comprehenders use production mechanisms to determine (roughly) what they would say next if they were speaking. So far, theories of prediction‐by‐production have assumed sequential lexical production. We therefore reinterpret such evidence in terms of parallel lexical production.
The Coffee Index: Using Everyday Consumer Goods to Dispel Perceived Inflation
Authors: Streidl Derek 
Published: November 2024

Perceived Inflation is a term used in behavioral economics to address the public's hypersensitivity to their local and national economies, often believing the inflation rates are higher than they actually are. Mass pattern thinking like this can be dangerous to markets, resulting in panic both in consumer purchasing and policymaking both. With the political stage being in a state of constant flux and turbulence both domestically and abroad, dispelling perceived inflation should be a prime directive of financial education given to the public and policymakers alike. This study aims to dispel the idea of perceived inflation existing in the particular local market of Cincinnati, Ohio using one of the most frequently traded goods in the United States as an indicator of actual inflation, coffee. From a sample of 50 of Cincinnati’s independently owned coffee establishments, we collected 2020 & 2024 prices for two particular products, the house coffee, and the house cappuccino, and used regression analysis to show a positive effect on the current prices from those in 2020. We also show the annualized rate of inflation for both products being a suitable indicator of actual inflation in the local market, leading to the result that coffee is a good predictor of local market inflation, as it is priced in accordance with actual, rather than perceived inflation.
Solution to a problem of Erdős on the chromatic index of hypergraphs with bounded codegree
Authors: Kang Dong Yeap , Kelly Tom , Kühn Daniela , Methuku Abhishek , Osthus Deryk 
Published: November 2024

AbstractIn 1977, Erdős asked the following question: for any integers , if are complete graphs such that each has at most vertices and every pair of them shares at most vertices, what is the largest possible chromatic number of the union ? The equivalent dual formulation of this question asks for the largest chromatic index of an ‐vertex hypergraph with maximum degree at most and maximum codegree at most . For the case , Erdős, Faber and Lovász famously conjectured that the answer is , which was recently proved by the authors for all sufficiently large . In this paper, we answer this question of Erdős for in a strong sense, by proving that every ‐vertex hypergraph with maximum degree at most and maximum codegree at most has chromatic index at most for any . Moreover, equality holds if and only if the hypergraph is a ‐fold projective plane of order , where . Thus, for every , this bound is best possible for infinitely many integers . This result also holds for the list chromatic index.
Incretin hormones and obesity
Authors: Alcaino Constanza , Reimann Frank , Gribble Fiona M. 
Published: November 2024

AbstractThe incretin hormones glucagon‐like peptide‐1 (GLP‐1) and glucose‐dependent insulinotropic polypeptide (GIP) play critical roles in co‐ordinating postprandial metabolism, including modulation of insulin secretion and food intake. They are secreted from enteroendocrine cells in the intestinal epithelium following food ingestion, and act at multiple target sites including pancreatic islets and the brain. With the recent development of agonists targeting GLP‐1 and GIP receptors for the treatment of type 2 diabetes and obesity, and the ongoing development of new incretin‐based drugs with improved efficacy, there is great interest in understanding the physiology and pharmacology of these hormones.
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Customer Segmentation and Need Analysis Based on Sentiment Network of Online Reviewers and Graph Embedding
Authors: Shen Mengyuan , Feng Bohan , Cheng Aoxiang , Bi Youyi 
Published: November 2024

Abstract
Customer segmentation divides customers into groups with different characteristics and supports the design of customized products and tailored marketing strategies. Recent studies explore using online reviews as the data source and social network analysis as the fundamental technique for customer segmentation. These studies usually utilize the frequency of mentioned product attributes and/or customers' sentiments from online reviews in the segmentation process. However, few of them investigate the influence of different types of information (e.g., with or without sentiment, order information) on the segmentation performance. In addition, previous studies seldom consider and tackle the challenge of clustering high-dimensional data when online reviews contain customers' rich opinions towards multi-faceted attributes of a product. To fill these gaps, we propose a comprehensive framework for customer segmentation and need analysis based on sentiment network of online reviewers and graph embedding. The frequently mentioned product attributes and customers' sentiments are first extracted from online reviews. Then, a customer can be represented as a vector consisting of his/her sentiment polarities on each product attribute as well as rating and order information. After that, a social network of customers is established by examining the similarity of customer vectors. The network nodes are embedded into low-dimensional vectors, which can be further clustered into different groups, i.e., customer segments, and their respective needs can be analyzed by methods such as Importance–Performance Analysis. Our framework enables the construction and performance comparison of various types of networks, node compositions, and embedding methods. A case study employing the online reviews of a passenger vehicle in China's market is used to demonstrate the validity of the proposed framework. The results indicate that the customer segmentation generated by the sentiment network of online reviewers with Graph Autoencoder (GAE) embeddings performs better than other alternative models that do not utilize vector embeddings, fail to consider the sentiment information, or leverage bipartite network structures. Our framework provides more nuanced insights for designers to improve customers' satisfaction and increase the market competitiveness of their products.
Genome sequences of five
Klebsiella
bacteriophages that belong to the genus
Jiaodavirus
Authors: Peters Tracey L. , Urick Caitlin D. , Georges Martin , Burke Kevin A. , Kirillina Olga A. , Mzhavia Nino , Musila Lillian , Filippov Andrey A. , Nikolich Mikeljon P. 
Published: November 2024

ABSTRACT

We describe the genomes of five lytic
Klebsiella pneumoniae
myophages, therapeutic candidates, that belong to the family
Straboviridae
and genus
Jiaodavirus
. The genomes ranged from 165,574 to 169,768 bp, with ca. 40% GC content, contained 289–300 coding sequences, had 15–16 tRNA genes, and no terminal repeats.