bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automation, work and the achievement gap
Authors: Danaher John , Nyholm Sven 
Published: November 2020

AbstractRapid advances in AI-based automation have led to a number of existential and economic concerns. In particular, as automating technologies develop enhanced competency, they seem to threaten the values associated with meaningful work. In this article, we focus on one such value: the value of achievement. We argue that achievement is a key part of what makes work meaningful and that advances in AI and automation give rise to a number achievement gaps in the workplace. This could limit people’s ability to participate in meaningful forms of work. Achievement gaps are interesting, in part, because they are the inverse of the (negative) responsibility gaps already widely discussed in the literature on AI ethics. Having described and explained the problem of achievement gaps, the article concludes by identifying four possible policy responses to the problem.
Association Between Medicaid Expansion and Diagnosis and Management of Colon Cancer
Authors: Hoehn Richard S. , Rieser Caroline J. , Phelos Heather , Sabik Lindsay M. , Nassour Ibrahim , Paniccia Alessandro , Zureikat Amer H. , Tohme Samer T. 
Published: November 2020

BACKGROUND:
The Affordable Care Act facilitated improved insurance coverage for states that expanded Medicaid coverage, but the impact on cancer outcomes is unclear. This study compared changes in the diagnosis and management of colon cancer in states that did and did not participate in Medicaid expansion.

STUDY DESIGN:
Using a quasi-experimental difference-in-differences (DID) approach, we analyzed Medicaid and uninsured patients in the National Cancer Data Base during 2 time periods: pre (2011-2012) and post expansion (2015-2016). Patients in non-expansion states were compared with those in January 2014 expansion states with regard to changes in patient and facility characteristics, cancer staging, treatment decisions, and surgical outcomes.

RESULTS:
Along with increased Medicaid coverage (DID = 20.27; p < 0.001), patients in expansion states had an increase in stage I diagnoses (DID = 2.97; p = 0.035), distance traveled (miles, DID = 6.67; p = 0.005), and treatment at integrated network programs (DID = 2.67; p = 0.045). More early-stage patients were treated within 30 days (DID = 7.24; p = 0.035) and more stage IV patients received palliative care (DID = 5.01; p = 0.048). Among surgical patients, Medicaid expansion correlated with fewer urgent cases (< 7 days, DID = –5.88; p = 0.008) and more minimally invasive surgery (DID = 5.00; p = 0.022). There were no observed differences in postoperative outcomes or adjuvant chemotherapy.

CONCLUSIONS:
Medicaid expansion correlated with earlier diagnosis, enhanced access, and improved surgical care for colon cancer patients. These findings highlight the importance of improving health insurance coverage and can help guide future policy efforts.
Generalised liouville processes and their properties
Authors: Hoyle Edward , Menguturk Levent Ali 
Published: November 2020

AbstractWe define a new family of multivariate stochastic processes over a finite time horizon that we call generalised Liouville processes (GLPs). GLPs are Markov processes constructed by splitting Lévy random bridges into non-overlapping subprocesses via time changes. We show that the terminal values and the increments of GLPs have generalised multivariate Liouville distributions, justifying their name. We provide various other properties of GLPs and some examples.
Zipf’s law for atlas models
Authors: Fernholz Ricardo T. , Fernholz Robert 
Published: November 2020

AbstractA set of data with positive values follows a Pareto distribution if the log–log plot of value versus rank is approximately a straight line. A Pareto distribution satisfies Zipf’s law if the log–log plot has a slope of $-1$. Since many types of ranked data follow Zipf’s law, it is considered a form of universality. We propose a mathematical explanation for this phenomenon based on Atlas models and first-order models, systems of strictly positive continuous semimartingales with parameters that depend only on rank. We show that the stationary distribution of an Atlas model will follow Zipf’s law if and only if two natural conditions, conservation and completeness, are satisfied. Since Atlas models and first-order models can be constructed to approximate systems of time-dependent rank-based data, our results can explain the universality of Zipf’s law for such systems. However, ranked data generated by other means may follow non-Zipfian Pareto distributions. Hence, our results explain why Zipf’s law holds for word frequency, firm size, household wealth, and city size, while it does not hold for earthquake magnitude, cumulative book sales, and the intensity of wars, all of which follow non-Zipfian Pareto distributions.
Synchronized Lévy queues
Authors: Kella Offer , Boxma Onno 
Published: November 2020

AbstractWe consider a multivariate Lévy process where the first coordinate is a Lévy process with no negative jumps which is not a subordinator and the others are non-decreasing. We determine the Laplace–Stieltjes transform of the steady-state buffer content vector of an associated system of parallel queues. The special structure of this transform allows us to rewrite it as a product of joint Laplace–Stieltjes transforms. We are thus able to interpret the buffer content vector as a sum of independent random vectors.
Bias from Network Misspecification Under Spatial Dependence
Authors: Betz Timm , Cook Scott J. , Hollenbach Florian M. 
Published: November 2020

AbstractThe prespecification of the network is one of the biggest hurdles for applied researchers in undertaking spatial analysis. In this letter, we demonstrate two results. First, we derive bounds for the bias in nonspatial models with omitted spatially-lagged predictors or outcomes. These bias expressions can be obtained without prior knowledge of the network, and are more informative than familiar omitted variable bias formulas. Second, we derive bounds for the bias in spatial econometric models with nondifferential error in the specification of the weights matrix. Under these conditions, we demonstrate that an omitted spatial input is the limit condition of including a misspecificed spatial weights matrix. Simulated experiments further demonstrate that spatial models with a misspecified weights matrix weakly dominate nonspatial models. Our results imply that, where cross-sectional dependence is presumed, researchers should pursue spatial analysis even with limited information on network ties.
Generalized Full Matching
Authors: Sävje Fredrik , Higgins Michael J. , Sekhon Jasjeet S. 
Published: November 2020

AbstractMatching is a conceptually straightforward method to make groups of units comparable on observed characteristics. The method is, however, limited to settings where the study design is simple and the sample is moderately sized. We illustrate these limitations by asking what the causal effects would have been if a large-scale voter mobilization experiment that took place in Michigan for the 2006 election were scaled up to the full population of registered voters. Matching could help us answer this question, but no existing matching method can accommodate the six treatment arms and the 6,762,701 observations involved in the study. To offer a solution for this and similar empirical problems, we introduce a generalization of the full matching method that can be used with any number of treatment conditions and complex compositional constraints. The associated algorithm produces near-optimal matchings; the worst-case maximum within-group dissimilarity is guaranteed to be no more than four times greater than the optimal solution, and simulation results indicate that it comes considerably closer to the optimal solution on average. The algorithm’s ability to balance the treatment groups does not sacrifice speed, and it uses little memory, terminating in linearithmic time using linear space. This enables investigators to construct well-performing matchings within minutes even in complex studies with samples of several million units.
RADIOCARBON DATING OF PRECIOUS CORALS OFF THE SOUTHWEST COAST OF KOCHI PREFECTURE, SOUTHWEST JAPAN
Authors: Okumura Tomoyo , Kumon Fujio , Tokuyama Hidekazu 
Published: November 2020

ABSTRACTRadiocarbon (14C) dating was performed for various types of precious coral colony fragments collected from the Ashizuri fishing field, around 100–200 m deep, off the southwest coast of Kochi Prefecture, Japan, to understand the historical background of one of the largest precious coral fishing fields in Japan. The 14C ages of the 55 specimens range from ~7500 years ago to the modern. Most of the measured samples were older than 1871, when fishing activities of precious corals began in Kochi Prefecture. These results suggest that most of the deaths of the precious coral colonies were due to natural causes, such as natural mortality, predation, or various forms of environmental degradation, and not strictly related to destructive fishing practices. Additionally, precious corals started inhabiting the study area at least ~7500 years ago, when the marine condition became similar to that of today after the Last Glacial Period. This study is the first to focus on the age of dead precious coral fragments and has revealed that they might be an important fossil resource that could lengthen the timespan of precious coral fishery. This additional time may enable us to establish reasonable and effective regulations for sustainable fishery.
Characterising percentage energy from ultra-processed foods by participant demographics, diet quality and diet cost: findings from the Seattle Obesity Study (SOS) III
Authors: Gupta Shilpi , Rose Chelsea M. , Buszkiewicz James , Ko Linda K. , Mou Jin , Cook Andrea , Aggarwal Anju , Drewnowski Adam 
Published: November 2020

AbstractHigher consumption of ‘ultra-processed’ (UP) foods has been linked to adverse health outcomes. The present paper aims to characterise percentage energy from UP foods by participant socio-economic status (SES), diet quality, self-reported food expenditure and energy-adjusted diet cost. Participants in the population-based Seattle Obesity Study III (n755) conducted in WA in 2016–2017 completed socio-demographic and food expenditure surveys and the FFQ. Education and residential property values were measures of SES. Retail prices of FFQ component foods (n378) were used to estimate individual-level diet cost. Healthy Eating Index (HEI-2015) and Nutrient Rich Food Index 9.3 (NRF9.3) were measures of diet quality. UP foods were identified following NOVA classification. Multivariable linear regressions were used to test associations between UP foods energy, socio-demographics, two estimates of food spending and diet quality measures. Higher percentage energy from UP foods was associated with higher energy density, lower HEI-2015 and NRF9.3scores. The bottom decile of diet cost ($216·4/month) was associated with 67·5 % energy from UP foods; the top decile ($369·9/month) was associated with only 48·7 % energy from UP foods. Percentage energy from UP foods was inversely linked to lower food expenditures and diet cost. In multivariate analysis, percentage energy from UP foods was predicted by lower food expenditures, diet cost and education, adjusting for covariates. Percentage energy from UP foods was linked to lower food spending and lower SES. Efforts to reduce UP foods consumption, an increasingly common policy measure, need to take affordability, food expenditures and diet costs into account.
‘Building the Internationalist City from Below’: The Role of the Czechoslovak Industrial Cooperative “Interhelpo” in Forging Urbanity in early-Soviet Bishkek
Authors: Leupold David 
Published: November 2020

AbstractThe paper explores the historical trajectory of Interhelpo, an industrial cooperative from Czechoslovakia, and its role in forging urbanization “from below” in early-Soviet town of Pishpek (now Bishkek, Kyrgyzstan). In light of scarce literature available on the success and failures of Western internationalist communes in the early Soviet period, this paper draws from intensive field work in Kyrgyzstan and understudied sources in Czech, Kyrgyz, Slovak and Russian to offer a novel, bottom-up narrative on the socialist city in Central Asia.Founded 1914 by Czech, Slovak, Hungarian, German internationalists and Ido-learners around the mountaineer and Bolshevik Rudolf Pavlovič Mareček in the Czechoslovakian town Žilina, the cooperative actively shaped urbanization in what would be become known as the capital of Soviet Kyrgyzstan. From 1925 until its liquidation during WWII, the cooperative built from scratch a whole district including the first electric power station of the city, textile and furniture factories, workshops for tailors, shoemakers and joiners, a school, a kindergarten, a tannery, a brewery as well as unique residential district. In the process, the cooperative forged an organic patchwork language referred to as spontánne esperanto to secure translocal collaboration between internationalists from Central Europe, on the one hand, and a heterogeneous mix of workers including Armenians, Kyrgyz, Dungans, Uygurs, Uzbeks, Russians and Ukrainians, on the other.Transcending a purely historical analysis, the paper ultimately turns to the urban landscape of present-day Bishkek. There it argues that while the district built by Interhelpo corresponds today to an exiled site dislocated by the hegemonic ethno-national memory regime, its materiality harbors relicts of another future capable of mobilizing alternative narratives on the city and her socialist and multi-ethnic past.
Class Consciousness of Rural Migrant Children in China
Authors: Chen Jiaxin , Wang Dan 
Published: November 2020

AbstractThe state of class consciousness of working-class children in China has received scant attention in the scholarly literature. This study examines the class consciousness of rural migrant children as they are about to join their migrant parents and become “China's new workers.” Qualitative investigations were conducted in two primary schools in Beijing. Focus group and individual interviews were held with 87 fifth- and sixth-grade migrant children in the two case schools and 324 valid student questionnaires were collected. The findings reveal that migrant children are aware of the unequal class relationships suffered by migrant workers; however, their interpretations of class-based injustices exhibit false consciousness, shadowed by individualism, meritocracy and the duality of images. Family and school may play vital roles in shaping migrant children's class consciousness.
Force and the city: occupying and controlling Madrid in the aftermath of the Spanish Civil War
Authors: Pérez-Olivares Alejandro 
Published: November 2020

AbstractFor some years, the historiography on Francoist violence has engaged with debates developed by European scholars on the importance of citizen collaboration in authoritarian regimes. In some cases, denunciations made by ‘ordinary men’ have been quantified to establish the extent of violence in everyday life, without taking other qualitative criteria into account. This article explores the importance of urban criteria such as neighbourhood, sociability and mobility in the scope of Francoist violence, taking the military occupation of Madrid at the end of the Spanish Civil War as a case-study.
Interventions on patent ductus arteriosus and its impact on congenital heart disease
Authors: Zaidi Mariam , Sorathia Nilofer , Abbasi Hannah , Khashkhusha Arwa , Harky Amer 
Published: November 2020

AbstractThe ductus arteriosus (DA) connects the pulmonary artery to the aorta to bypass the pulmonary circulation in utero. It normally closes within 24–72 hours after birth due to increased pulmonary resistance from an increase in oxygen partial pressure with the baby’s first breath. Medical treatment can help close the DA in certain situations where closure is delayed. However, in duct-dependent cardiac defects, the presence of the DA is crucial for survival and as such medical and surgical techniques have evolved to prevent closure. This review aims to outline the two main management options for keeping a ductus arteriosus patent. This includes stenting the PDA and shunting via a modified Blalock–Taussig shunt. Whilst both techniques exist, multicentre trials have found equal mortality end points but significantly reduced morbidity with stenting than shunting. This is also reflected by shorter recovery times, reduced requirement for extracorporeal membrane oxygenation (ECMO), and improved quality of life, although stent longevity remains a limiting factor.
How food companies use social media to influence policy debates: a framework of Australian ultra-processed food industry Twitter data
Authors: Hunt Daniel 
Published: November 2020

AbstractObjective:To understand if, and how, Australian ultra-processed food industry actors use Twitter to influence food and health policy debates and produce a conceptual framework to describe such influence.Design:Twitter data of prominent industry actors were defined through purposive sampling and inductively coded to investigate possible influence on food and health policy debates. These are described using descriptive statistics and coded extracts.Setting:Australia.Participants:Twitter accounts of nine prominent ultra-processed food industry actors, including major trade associations.Results:Ultra-processed food industry actors actively used Twitter to influence food and health policy debates. Seven overarching strategies were identified: co-opting public health narratives; opposing regulation; supporting voluntary, co- or self-regulation; engaging policy processes and decision-makers; linking regulatory environments to the need for ongoing profitability; affecting public perceptions and value judgements; and using ignorance claims to distort policy narratives. Each lobbying strategy is underpinned with tactics described throughout and captured in a framework.Conclusions:The current study creates a framework to monitor how food industry actors can use social media to influence food and health policy debates. As such, social media appears to be not only an important commercial determinant of health for brand marketing, but also an extension of lobbying practices to reshape public perceptions of corporate conduct and policy-making.
Predictors of recovery in children aged 6–59 months with uncomplicated severe acute malnutrition: a multicentre study
Authors: David Sam Marconi , Ragasudha Preethi N , Taneja Sunita , Mohan Sanjana Brahmawar , Iyengar Sharad D , Pricilla Ruby Angeline , Martines Jose , Sachdev Harshpal Singh , Suhalka Virendra , Mohan Venkata Raghava , Mazumder Sarmila , Chowdhury Ranadip , Bahl Rajiv , Bose Anuradha 
Published: November 2020

AbstractObjective:To identify predictors of recovery in children with uncomplicated severe acute malnutrition (SAM).Design:This is a secondary data analysis from an individual randomised controlled trial, where children with uncomplicated SAM were randomised to three feeding regimens, namely ready-to-use therapeutic food (RUTF) sourced from Compact India, locally prepared RUTF or augmented home-prepared foods, under two age strata (6–17 months and 18–59 months) for 16 weeks or until recovery. Three sets of predictors that could influence recovery, namely child, family and nutritional predictors, were analysed.Setting:Rural and urban slum areas of three states of India, namely Rajasthan, Delhi and Tamil Nadu.Participants:In total, 906 children (age: 6–59 months) were analysed to estimate the adjusted hazard ratio (AHR) using the Cox proportional hazard ratio model to identify various predictors.Results:Being a female child (AHR: 1·269 (1·016, 1·584)), better employment status of the child’s father (AHR: 1·53 (1·197, 1·95)) and residence in a rental house (AHR: 1·485 (1·137, 1·94)) increased the chances of recovery. No hospitalisation (AHR: 1·778 (1·055, 2·997)), no fever, (AHR: 2·748 (2·161, 3·494)) and ≤ 2 episodes of diarrhoea (AHR: 1·579 (1·035, 2·412)) during the treatment phase; availability of community-based peer support to mothers for feeding (AHR: 1·61 (1·237, 2·097)) and a better weight-for-height Z-score (WHZ) at enrolment (AHR: 1·811 (1·297, 2·529)) predicted higher chances of recovery from SAM.Conclusion:The probability of recovery increases in children with better WHZ and with the initiation of treatment for acute illnesses to avoid hospitalisation, availability of peer support and better employment status of the father.
Early consumption of ultra-processed foods among children under 2 years old in Brazil
Authors: Spaniol Ana Maria , da Costa Teresa Helena Macedo , Souza Amanda de Moura , Gubert Muriel Bauermann 
Published: November 2020

AbstractObjective:To evaluate the complementary food consumption according to the extent and purpose of food processing based on NOVA classification among children aged 6–24 months of Federal District, Brazil.Design:We performed a cross-sectional study using a 24-h recall to estimate the daily energy intake and nutrients according to NOVA classification. We conducted a linear regression to assess the association between the processed and ultra-processed foods (UPF) energy intake and the daily energy intake from saturated fat, daily energy intake from total sugars and daily intake of sodium.Setting:Federal District, Brazil.Participants:Five hundred and thirty-eight children aged between 6 and 24 months attended at Primary Health Care Units from March 2017 to March 2018.Results:On average, children aged from 6 to 12 and from 12 to 24 months consumed 2393 and 4054 kJ/d, respectively, and processed and UPF represented one-third of dietary energy intake. Group 2 (processed and UPF) was higher carbohydrate contributors, and lower protein, fibre and most micronutrient contributors, when compared with Group 1 (unprocessed, minimally processed foods and processed culinary ingredients). In addition, the higher the energy intake from processed and UPF, the higher was the daily energy intake from saturated fat, daily energy intake from total sugar and daily intake of sodium.Conclusion:Children are being exposed early to processed and UPF and their share affect the diet’s nutritional quality.
The environmental and economic efficacy of on-farm beneficial management practices for mitigating soil-related greenhouse gas emissions in Ontario, Canada
Authors: Yanni Sandra F. , De Laporte Aaron , Rajsic Predrag , Wagner-Riddle Claudia , Weersink Alfons 
Published: November 2020

AbstractAgriculture is a large source of greenhouse gas (GHG) emissions but changing management practices to those more beneficial to the environment could help mitigate climate change as long as they are economically and environmentally viable. This study examines the environmental (public) and economic (private) effects of adopting ten different beneficial management practices on a representative corn farm in Ontario, Canada. The study integrates changes in GHG emissions in carbon equivalents (CO2e) and changes in profit from changes in costs and revenues in two dimensions to reveal the scope and scale of different kinds of practices. 4R nitrogen management practices are smaller in scale compared to cropping practices and, therefore, have smaller potential costs and benefits. Land use changes, from practices including biomass, afforestation, crop rotation and cover cropping, have larger impacts on soil sequestration and carbon-equivalent GHG reduction, but with significantly greater costs. Seven practices were found to, at least partially, be economically and environmentally beneficial. The adoption of no-till and N-rate reduction is firmly positive, whereas the production of biomass has the largest potential economic and environmental gains. Crop rotation and diversification and cover cropping can be mutually beneficial, as can changing N-application practices. The use of inhibitors may be economically beneficial if yield gains outweigh purchase costs.