bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two Nursing Outreach Interventions to Engage Vulnerable Populations in Care
Authors: Doran Kelly , Moen Marik , Doede Megan 
Published: November 2020

Abstract
People experiencing substance use disorders, homelessness, mental health conditions, or poverty often have difficultly engaging in healthcare services particularly prevention services. This brief report describes two nursing interventions implemented by nursing students that aim to empower vulnerable populations and draw them into care using empathetic and patient-centered approaches. The first intervention uses street outreach with naloxone training in an area of Baltimore experiencing a high rate of overdose deaths. The second uses home or street outreach to link people living with HIV to HIV care.
Did pre-Columbian populations of the Amazonian biome reach carrying capacity during the Late Holocene?
Authors: Arroyo-Kalin Manuel , Riris Philip 
Published: November 2020

The increasingly better-known archaeological record of the Amazon basin, the Orinoco basin and the Guianas both questions the long-standing premise of a pristine tropical rainforest environment and also provides evidence for major biome-scale cultural and technological transitions prior to European colonization. Associated changes in pre-Columbian human population size and density, however, are poorly known and often estimated on the basis of unreliable assumptions and guesswork. Drawing on recent developments in the aggregate analysis of large radiocarbon databases, here we present and examine different proxies for relative population change between 1050 BC and AD 1500 within this broad region. By using a robust model testing approach, our analyses document that the growth of pre-Columbian human population over the 1700 years prior to European colonization adheres to a logistic model of demographic growth. This suggests that, at an aggregate level, these pre-Columbian populations had potentially reached carrying capacity (however high) before the onset of European colonization. Our analyses also demonstrate that this aggregate scenario shows considerable variability when projected geographically, highlighting significant gaps in archaeological knowledge yet also providing important insights into the resilience of past human food procurement strategies. By offering a new understanding of biome-wide pre-Columbian demographic trends based on empirical evidence, our analysis hopes to unfetter novel perspectives on demic expansions, language diversification trajectories and subsistence intensification processes in the Amazonian biome during the late Holocene.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.
Population density and size facilitate interactive capacity and the rise of the state
Authors: Roscoe Paul , Sandweiss Daniel H. , Robinson Erick 
Published: November 2020

Radiocarbon summed probability distribution (SPD) methods promise to illuminate the role of demography in shaping prehistoric social processes, but theories linking population indices to social organization are still uncommon. Here, we develop Power Theory, a formal model of political centralization that casts population density and size as key variables modulating the interactive capacity of political agents to construct power over others. To evaluate this argument, we generated an SPD from 755 radiocarbon dates for 10 000–1000 BP from Central, North Central and North Coast Peru, a period when Peruvian political form developed from ‘quasi-egalitarianism’ to state levels of political centralization. These data are congruent with theoretical expectations of the model but also point to an artefactual distortion previously unremarked in SPD research.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.
Demographic estimates from the Palaeolithic–Mesolithic boundary in Scandinavia: comparative benchmarks and novel insights
Authors: Lundström Victor , Peters Robin , Riede Felix 
Published: November 2020

Prehistoric demography has recently risen to prominence as a potentially explanatory variable for episodes of cultural change as documented in the archaeological and ethnographic record. While this has resulted in a veritable boom in methodological developments seeking to address temporal changes in the relative size of prehistoric populations, little work has focused on the manner in which population dynamics manifests across a spatial dimension. Most recently, the so-called Cologne Protocol has led the way in this endeavour. However, strict requirements of raw-material exchange data as analytical inputs have prevented further applications of the protocol to regions outside of continental Europe. We apply an adjusted approach of the protocol that makes it transferable to cases in other parts of the world, while demonstrating its use by providing comparative benchmarks of previous research on the Late Glacial Final Palaeolithic of southern Scandinavia, and novel insights from the early Holocene pioneer colonization of coastal Norway. We demonstrate again that population size and densities remained fairly low throughout the Late Glacial, and well into the early Holocene. We suggest that such low population densities have played a significant role in shaping what may have been episodes of cultural loss, as well as potentially longer periods of only relatively minor degrees of cultural change.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.
Dispersals as demographic processes: testing and describing the spread of the Neolithic in the Balkans
Authors: Vander Linden Marc , Silva Fabio 
Published: November 2020

Although population history and dispersal are back at the forefront of the archaeological agenda, they are often studied in relative isolation. This contribution aims at combining both dimensions, as population dispersal is, by definition, a demographic process. Using a case study drawn from the Early Neolithic of South-Eastern Europe, we use radiocarbon dates to jointly investigate changes in speed and population size linked to the new food production economy and demonstrate that the spread of farming in this region corresponds to a density-dependent dispersal process. The implications of this characterization are evaluated in the discussion.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.
Perceived Implications of Current Conflict of Interest Policy in Individuals Accepted or Rejected for Participation in Food and Drug Administration Advisory Committee
Authors: Shimada Yuichi J. , Hair Kyle , Faerber Adrienne , Zimmerman Christian G. , Houchin Timothy , Hart Robert A. , Gibb Matthew D. , Homma Shunichi 
Published: November 2020

ABSTRACTBackground and ObjectiveThe Food and Drug Administration (FDA) relies on advice from scientific and medical experts to make approval decisions about new prescription medications and medical devices. Therefore, it is crucial that FDA Advisory Committees (ACs) include the most knowledgeable scientists and clinicians in the decision-making process. However, to ensure that the advice is free from biases, current FDA policy often excludes those most qualified from participating in ACs due to perceived conflicts of interest (COI). The objective of the present study is to elicit opinion among subject matter experts regarding current FDA COI rules and regulations.MethodsWe conducted a cross-sectional study using formal, self-administered online survey consisting of 14 questions, 3 of which addressed perceived implications of current FDA COI policy. We send a formal online survey to study subjects via Qualtrics. Study subjects were 1) individuals who participated in FDA ACs and 2) those who were interested in participating in ACs and had completed FDA COI paperwork but rejected by the FDA due to COI. The outcome measure is response to the 3 questions about the perceived implications of current FDA COI policy. Responses were scored on a 5-point Likert-type scale.ResultsAmong 403 study subjects (200 AC members and 203 individuals who were rejected due to COI), 145 (36%) responded to the survey including 90 AC members and 55 rejected individuals. Respondents included 41 (28%) females. 97% were holding MD or PhD degrees. 88% were age 46 and over, and 66% had more than 25 years in practice. The primary findings were that 49% of respondents agreed that the current FDA regulations lead to a lower quality of experts on ACs, 72% agreed that current policies exclude qualified experts from serving on ACs, and 48% agreed that FDA policy lowers the overall quality of AC input, to at least a “moderate” extent (19%-37% to a “high” or “very high” extent).ConclusionsThe prevailing opinion among respondents to the formal survey is that current FDA COI policy has the potential effects to lowering quality of experts, excluding qualified experts, and lowering overall quality of AC input. The present report elucidates a potential need for the FDA to discuss the benefit and risk of the current AC COI policies.
Perceived Health Benefits of Using Non-Electrical Water Filters under ‘Clean India Mission’ Programme in a Village of Bhopal
Authors: Rana Sindhuprava , Dhiman Vikas , Banerjee Nalok , Prakash Anil , Tiwari Rajnarayan R 
Published: November 2020

AbstractIn India, the access to clean and safe drinking water to rural population is very limited, hence the Government of India has initiated multiple schemes to tackle the problem of huge health burden due to poor quality of water in rural areas. Under ‘Clean India Mission’ cost-effective, non-electric water filters were distributed (n=144 households) in Barkheda Bondar village of Bhopal district in Central India and after one year of usage, a questionnaire based door-to-door survey was conducted to assess the usage and perceived health benefits of water filters by the users. The study showed that the acceptance of water filter among rural population was about 82% and 69.4% of the population reported reduction in the frequency of various water-related diseases. The present study shows that the use of non-electric water filters on mass basis in rural India is efficacious for providing safe drinking water.
Characteristics of COVID-19 patients admitted to a tertiary care hospital in Pune, India, and cost-effective predictors of intensive care treatment requirement
Authors: Shukla Urvi Bhooshan , Shukla Sharvari Rahul , Palve Sachin Bhaskar , Yeravdekar Rajiv Chintaman , Natarajan Vijay Madhusoothan , Tiwari Pradeep , Yajnik Chittaranjan Sakerlal 
Published: November 2020

AbstractBackgroundMaharashtra is one of the worst affected states in this pandemic.2 As of 30th September, Maharashtra has in total 1.4 million cases with 38,000 deaths. Objective was to study associations of severity of disease and need for ICU treatment in COVID-19 patients.MethodsA retrospective study of clinical course in 800 hospitalized COVID-19 patients, and a predictive model of need for ICU treatment. Eight hundred consecutive patients admitted with confirmed COVID-19 disease.ResultsAverage age was 41 years, 16% were <20 years of age, 55% were male, 50% were asymptomatic and 16% had at least one comorbidity. Using MoHFW India severity guidelines, 73% patients had mild, 6% moderate and 20% severe disease. Severity was associated with higher age, symptomatic presentation, elevated neutrophil and reduced lymphocyte counts and elevated inflammatory markers. Seventy-seven patients needed ICU treatment: they were older (56 years), more symptomatic and had lower SpO2 and abnormal chest X-ray and deranged hematology and biochemistry at admission. A model trained on the first 500 patients, using above variables predicted need for ICU treatment with sensitivity 80%, specificity 88% in subsequent 300 patients; exclusion of expensive laboratory tests did not affect accuracy.ConclusionIn the early phase of COVID- 19 epidemic, a significant proportion of hospitalized patients were young and asymptomatic. Need for ICU treatment was predicted by simple measures including higher age, symptomatic onset, low SpO2 and abnormal chest X-ray. We propose a cost-effective model for referring patients for treatment at specialized COVID-19 hospitals.Key MessagesOf 800 patients, 73% had mild, 6% moderate and 20% had severe disease.Seventy-seven patients (9.6%) required ICU treatment, 25 (3%) died.ICU treatment was predicted by higher age, more symptomatic presentation, lower SpO2 and pneumonia on chest X-ray at admission.A machine learning model features in first 500 patients accurately predicted ICU treatment in subsequent 300 patients.A good clinical protocol, SpO2 and chest X-ray are adequate to predict and triage COVID-19 patients for hospital admissions in resource poor environments.
Failure of the New Kidney Allocation System in a Specific Ethnic Group
Authors: Longoria-Dubocq Texell , Pizarro-Gonzalez Yaritza , Mayorga-Perez Isabel , Javier-Gonzalez Mariel , Hernandez-Rivera Pedro 
Published: November 2020

ABSTRACTIntroductionThe Kidney Allocation System (KAS) implemented on December 4, 2014, was expected to improve kidney transplant list wait-time and allocate more kidney to high cPRA patients. This study aims to demonstrate outcomes after the implementation of the KAS in a Hispanic transplant center.MethodsRetrospective study from a prospectively maintained database from a single-transplant center. Included all DDKT from July 2013 to June 2016. Compare and analyze DDKT selection and outcomes before and after KAS implementation.ResultsThe overall number of kidney transplants performed during this period was 220. All of the patients were Hispanic. Included 50.5% Pre-KAS and 49.5% Post-KAS. Pre-KAS group had a significantly shorter waiting-time list than the post-KAS group, 900.05 vs 1126.75 respectively. EPTS less than 20% significantly improved in the Post-KAS group compared to the Pre-KAS group, 41.3% vs 20.9% respectively. No differences observed in KDPI, 1-year graft failure, or 1-year mortality rates.ConclusionThis might be the first Hispanic only cohort evaluating the effects of KAS on a moderate volume kidney transplant center. The new system increased the wait-time list by approximately 25%, and it did not improve graft quality, graft failure, or mortality rates.
Quantifying superspreading for COVID-19 using Poisson mixture distributions
Authors: Kremer Cécile , Torneri Andrea , Boesmans Sien , Meuwissen Hanne , Verdonschot Selina , Driessche Koen Vanden , Althaus Christian L. , Faes Christel , Hens Niel 
Published: November 2020

AbstractThe number of secondary cases is an important parameter for the control of infectious diseases. When individual variation in disease transmission is present, like for COVID-19, the number of secondary cases is often modelled using a negative binomial distribution. However, this may not be the best distribution to describe the underlying transmission process. We propose the use of three other offspring distributions to quantify heterogeneity in transmission, and we assess the possible bias in estimates of the offspring mean and its overdispersion when the data generating distribution is different from the one used for inference. We find that overdispersion estimates may be biased when there is a substantial amount of heterogeneity, and that the use of other distributions besides the negative binomial should be considered. We revisit three previously analysed COVID-19 datasets and quantify the proportion of cases responsible for 80% of transmission,p80%, while acknowledging the variation arising from the assumed offspring distribution. We find that the number of secondary cases for these datasets is better described by a Poisson-lognormal distribution.
The reversion variant (p.Arg90Leu) at the evolutionarily adaptive p.Arg90 site in CELA3B predisposes to chronic pancreatitis
Authors: Masson Emmanuelle , Rebours Vinciane , Buscail Louis , Frete Frédérique , Pagenault Mael , Lachaux Alain , Chevaux Jean-Baptiste , Génin Emmanuelle , Cooper David N. , Férec Claude , Chen Jian-Min 
Published: November 2020

ABSTRACTA gain-of-function missense variant in the CELA3B gene, p.Arg90Cys (c.268C>T), has recently been reported to cause pancreatitis in an extended pedigree. Herein, we sequenced the CELA3B gene in 644 genetically unexplained French chronic pancreatitis (CP) patients (all unrelated) and 566 controls. No predicted loss-of-function variants were identified. None of the six low frequency or common missense variants detected showed significant association with CP. Nor did the aggregate rare/very rare missense variants (n=14) show any significant association with CP. However, p.Arg90Leu (c.269G>T), which was found in 4 patients but no controls and affects the same amino acid as p.Arg90Cys, serves to revert p.Arg90 to the human elastase ancestral allele. Since p.Arg90Leu has previously been shown to exert a similar functional effect to p.Arg90Cys, our findings not only confirm the involvement of CELA3B in the etiology of CP but also pinpoint a new evolutionarily adaptive site in the human genome.
Global architecture of the nucleus in single cells by DNA seqFISH+ and multiplexed immunofluorescence
Authors: Takei Yodai , Yun Jina , Ollikainen Noah , Zheng Shiwei , Pierson Nico , White Jonathan , Shah Sheel , Thomassie Julian , Eng Chee-Huat Linus , Guttman Mitchell , Yuan Guo-cheng , Cai Long 
Published: November 2020

AbstractIdentifying the relationships between chromosome structures, chromatin states, and gene expression is an overarching goal of nuclear organization studies. Because individual cells are highly variable at all three levels, it is essential to map all three modalities in the same single cell, a task that has been difficult to accomplish with existing tools. Here, we report the direct super-resolution imaging of over 3,660 chromosomal loci in single mouse embryonic stem cells (mESCs) by DNA seqFISH+, along with 17 chromatin marks by sequential immunofluorescence (IF) and the expression profile of 70 RNAs, in the same cells. We discovered that the nucleus is separated into zones defined by distinct combinatorial chromatin marks. DNA loci and nascent transcripts are enriched at the interfaces between specific nuclear zones, and the level of gene expression correlates with an association between active or nuclear speckle zones. Our analysis also uncovered several distinct mESCs subpopulations with characteristic combinatorial chromatin states that extend beyond known transcriptional states, suggesting that the metastable states of mESCs are more complex than previously appreciated. Using clonal analysis, we show that the global levels of some chromatin marks, such as H3K27me3 and macroH2A1 (mH2A1), are heritable over at least 3-4 generations, whereas other marks fluctuate on a faster time scale. The long-lived chromatin states may represent “hidden variables” that explain the observed functional heterogeneity in differentiation decisions in single mESCs. Our integrated spatial genomics approach can be used to further explore the existence and biological relevance of molecular heterogeneity within cell populations in diverse biological systems.
Bidirectional Control of Parathyroid Hormone and Bone Mass by Subfornical Organ
Authors: Zhang Lu , Liu Nian , Shao Jie , Gao Dashuang , Liu Yunhui , Chen Di , Wang Liping , Lu William Weijia , Yang Fan 
Published: November 2020

AbstractParathyroid hormone (PTH) is one of the most important hormones responsible for bone turnover and calcium homeostasis. In mammals, PTH is secreted through the parathyroid glands, unlike in fishes, which are secreted through central nervous system. Studies indicated that a variety of peripheral nerve regulates serum PTH level, however, the mechanism underlying central neural regulation of PTH in mammals remains largely unknown. With an approach including neural-specific retrograde tracing, PTH-Biotin binding assay, and cFos staining, we identified the subfornical organ (SFO) and the paraventricular nucleus (PVN) as two important brain nuclei that responded to serum PTH and calcium changes. Using chemogenetics, we found that serum PTH was suppressed by stimulation of GABAergic neurons in SFO followed by a decrease in trabecular bone mass. Conversely, stimulation of glutamatergic neurons in SFO promoted serum PTH and bone mass. Moreover, we found that the majority of neurons expressing parathyroid hormone 1 receptor (PTH1R) were GABAergic neurons and the majority of neurons expressing parathyroid hormone 2 receptor (PTH2R) were glutamatergic neurons. The paraventricular nucleus (PVN) is downstream of the SFO, and chemogenetic activation of glutamatergic neurons in PVN induced an increase in serum PTH. In summary, our study demonstrates for the first time that distinct neuronal subtypes in the SFO are responsible for bidirectional regulation of serum PTH and bone metabolism, which is mediated through the PVN and the peripheral nervous system. These findings reveal important central neural nodes and will advance our understanding of the central neural regulation of PTH at the molecular, cellular and circuit level.
MakeMyTrip: 2013(C): Redesigning the Home Page
Authors: Jain Abhinandan Kumar , Misra Kaveri 
Published: November 2020

In mid-2013 Deepak Kumar, Chairman and Group CEO of MakeMyTrip (MMT), was headed to the Hindustan conference room of the company's head office in Gurgaon, India, for deciding the new homepage design. A day earlier, Ajay, Product Head, had shared the consolidated results of the trials of different options (see Exhibit 1 for the results of testing the options) with the homepage website redesign team, responsible for the entire project. The team consisted of the head of business (CBO), the Analytics Head, the user experience (UX)head, the Product Head and the Tech Head (CTO).
Looking at the results, Deepak Kumar reflected that there were a lot of surprises in how the different options had performed. While the tracking tools in online businesses had a huge advantage over traditional businesses in that almost every customer interaction could be measured, there was still a lot of reading between the numbers that had to be done. Deepak was looking forward to a fruitful discussion to evaluate the options and finalise the new homepage design to be rolled out. As he opened the door to the conference room, he heard an excited chatter.
Industry and country effects on innovation effort
Authors: Nieto Mariano , Alonso-Martínez Daniel , González-Álvarez Nuria 
Published: November 2020

PurposeThe purpose of the paper is to study the determinants of firms' innovation effort using the main approaches in strategic management. The authors specifically analyze the joint effects of industry structure and country characteristics on innovation effort while controlling for firm resources.Design/methodology/approachThe hypotheses proposed are tested using a data set that includes firms registered in the EU Industrial R&D Investment (IRI) Scoreboard (European Commission, 2011). Specifically, the authors designed and applied a Generalized Method of Moments (GMM) method to perform an empirical analysis using a panel of 1,211 innovative firms in 55 industries and 26 countries between 2004 and 2012.FindingsCountry factors have significant effects on innovation effort. Results also indicate that the moderating and complementary effects of industry and country factors depend on the geographical area.Practical implicationsAlthough managers have generally tended to take into account only the firm perspective in innovation activities, this paper highlights that institutional factors are also relevant and play a key role in innovation effort. The authors provide suggestions for managers on how to ensure that their investment in innovation is efficient. They also suggest that the effect of some institutional factors may be modified by competitive pressure on firms' innovation effort.Originality/valueThe paper makes an incremental contribution to the literature on the determinants of innovation by providing a different approach to firm innovation determinants and taking into account the complementarities between institutional and industrial factors.