bluuebunny/crossref_metadata_2025_split huggingface dataset:
Loneliness and Mental Health During the COVID-19 Pandemic: A Study Among Dutch Older Adults
Authors: van Tilburg Theo G , Steinmetz Stephanie , Stolte Elske , van der Roest Henriëtte , de Vries Daniel H 
Published: August 2020

Abstract

Objectives
With the spread of COVID-19, the Netherlands implemented a policy to keep citizens physically distanced. We hypothesize that consequent reduction in the frequency of social contacts, personal losses, and the experience of general threats in society reduced well-being.

Methods
Data were collected from 1,679 Dutch community-dwelling participants aged 65–102 years comprising a longitudinal online panel. Social and emotional loneliness and mental health were measured in May 2020, that is, 2 months after the implementation of the measures, and earlier in October and November 2019.

Results
In this pandemic, the loneliness of older people increased, but mental health remained roughly stable. The policy measures for physical distancing did not cause much social isolation but personal losses, worries about the pandemic, and a decline in trust in societal institutions were associated with increased mental health problems and especially emotional loneliness.

Discussion
The consequences of long-term social isolation and well-being must be closely monitored.
Brave New Lungs: Aging in the Shadow of COVID-19
Authors: Nowakowski Alexandra C H 
Published: August 2020

AbstractAs the COVID-19 pandemic continues to affect communities worldwide, this novel disease is leaving many survivors with severe lung damage. Among older patients, advanced lung damage is more likely. Survivors of all ages who have extensive lung impacts are likely to be new to managing those issues. Supporting healthy aging for these patients will require both gathering data about their unique experiences and using the existing evidence basis about adapting to managing obstructive lung disease. This article outlines key priorities for research with COVID-19 survivors aging with permanent lung damage and highlights unique considerations for people older at age of onset. It also outlines the relevance of findings from this research for clinical care supporting people newly aging with advanced lung disease from COVID-19. In the process, it summarizes lessons from established patient populations aging with progressive lung disease—using cystic fibrosis as a prominent example from the author’s lived experience—that may enhance the experiences of older COVID-19 survivors.
Pervasive Risk Avoidance: Nursing Staff Perceptions of Risk in Person-Centered Care Delivery
Authors: Behrens Liza L , Boltz Marie , Kolanowski Ann , Sciegaj Mark , Madrigal Caroline , Abbott Katherine , Van Haitsma Kimberly 
Published: August 2020

Abstract

Background and Objectives
Nursing home (NH) staff perceptions of risks to residents’ health and safety are a major barrier to honoring resident preferences, the cornerstone of person-centered care (PCC) delivery. This study explored direct-care nursing staff perceptions of risk (possibilities for harm or loss) associated with honoring residents’ preferences for everyday living and care activities.

Research Design and Methods
Qualitative, descriptive design using sequential focus group (FG) methodology.

Results
Participants (N = 27) were mostly female (85%), had more than 3 years of experience (74%), and worked in NHs recently experiencing 6–12 health citations. Content analysis of 12 sequential FGs indicated nursing staff perceptions of risks may impede delivery of person-centered care. This is supported by the overarching theme: pervasive risk avoidance; and subthemes of: staff values, supports for risk-taking, and challenges to honoring preferences.

Discussion and Implications
Development of a multidimensional framework with specific risk engagement measures that account for the unique risk perspectives of nursing staff will contribute significantly to the clinical management of older adult preferences and research on the effectiveness of preference-based PCC delivery in the NH setting.
Directionality of ambient noise in the Mississippi embayment
Authors: Liu Chunyu , Aslam Khurram , Langston Charles A 
Published: August 2020

SUMMARYCross-correlations of ambient seismic noise from 277 broad-band stations within the Mississippi embayment (ME) with at least 1 month of recording time between 1990 and 2018 are used to estimate source locations of primary and secondary microseisms. We investigate source locations by analysing the azimuthal distribution of the signal-to-noise ratios (SNRs) and positive/negative amplitude differences. We use 84 stations with 1 yr of continuous recordings to explore seasonal variations of SNRs and amplitude differences. We also investigate the seasonal ambient noise ground motions using 2-D frequency–wavenumber (FK) analysis of a 50-station array. We observe that: (1) two major azimuths can be identified in the azimuthal distribution of SNRs and amplitude differences. We also observe two minor azimuths in the seasonal variation of SNRs, amplitude differences and 2-D FK power spectra. Monthly 2-D FK power spectra reveal that two energy sources are active in the Northern Hemisphere winter and two relatively weak sources are active in summer. (2) Backprojection suggests that primary microseisms originate along the coasts of Australia or New Zealand, Canada and Alaska, Newfoundland or Greenland and South America. (3) Secondary microseisms are generated in the deep water of the northern and southern Pacific Ocean, along the coasts of Canada and Alaska associated with near-shore reflections and in the deep water of south of Greenland. (4) Weak energy is observed in the third quadrant of the azimuthal distribution of amplitude differences of sedimentary Rayleigh and Love waves in the period band of 1–5 s and correlates with the direction of widening of the basin.
Sparse isotope labeling for nuclear magnetic resonance (NMR) of glycoproteins using 13C-glucose
Authors: Rogals Monique J , Yang Jeong-Yeh , Williams Robert V , Moremen Kelley W , Amster I Jonathan , Prestegard James H 
Published: August 2020

Abstract
Preparation of samples for nuclear magnetic resonance (NMR) characterization of larger proteins requires enrichment with less abundant, NMR-active, isotopes such as 13C and 15N. This is routine for proteins that can be expressed in bacterial culture where low-cost isotopically enriched metabolic substrates can be used. However, it can be expensive for glycosylated proteins expressed in mammalian culture where more costly isotopically enriched amino acids are usually used. We describe a simple, relatively inexpensive procedure in which standard commercial media is supplemented with 13C-enriched glucose to achieve labeling of all glycans plus all alanines of the N-terminal domain of the highly glycosylated protein, CEACAM1. We demonstrate an ability to detect partially occupied N-glycan sites, sites less susceptible to processing by an endoglycosidase, and some unexpected truncation of the amino acid sequence. The labeling of both the protein (through alanines) and the glycans in a single culture requiring no additional technical expertise past standard mammalian expression requirements is anticipated to have several applications, including structural and functional screening of the many glycosylated proteins important to human health.
Emerging Patterns in the Judicial Determination of FRAND Rates: Comparable Agreements and the Top-Down Approach for FRAND Royalties Determination
Authors: Tsilikas Haris 
Published: August 2020

Abstract
The massive adoption of wireless technologies over the past decades has also brought about disputes regarding the interpretation of FRAND in the context of actual commercial relations. Courts in several jurisdictions worldwide ‒ in the EU, the US, China, India and Korea, among others ‒ have been called upon to flesh out FRAND terms or to assess conformity with FRAND principles. This body of case law provides rich insights into the workings of the markets for standards, but also practical guidance for parties as well as policymakers seeking a better understanding of the situation ‒ business and legal ‒ on the ground. The present article outlines some of the emerging patterns in SEP litigation worldwide, focusing on the judicial determination of FRAND rates. The common thread across jurisdictions regarding FRAND-rate determination is reliance on evidence and data in comparable licensing agreements. It is argued that comparable licensing agreements, i.e. licensing agreements signed with similarly situated parties, provide for the most reliable evidence on how markets price standardised technologies and SEPs.
Health-enhancing foods: barriers to consumers’ choice in Iran
Authors: Bazhan Marjan , Kalantari Naser , Keshavarz-Mohammadi Nastaran 
Published: August 2020

Summary
Given the growing market for health-enhancing or functional foods in Iran, the consumption rate is low. Identifying and understanding the causes is key for future decisions and interventions in the market. So, the present study was designed to provide this knowledge in Iran. The study was conducted in Tehran, the capital of Iran, between May and September 2014. In total, 105 people participated in this qualitative research, including 40 production/supply/health authority stakeholders and 65 consumer stakeholders (44 housewives and 21 employed women). The sampling strategy was the purposive method with maximum diversity, and snowball sampling was used to identify key stakeholders. The social marketing framework was used for analyzing the participants’ views and experiences. To collect data, semi-structured focus group discussions and in-depth interviews were conducted. Data collection and content analysis were performed simultaneously, using MAXQDA® software. Categorization of the findings based on social marketing mix showed that the most important barriers to the consumption of functional dairy products were undesirable sensory and non-sensory characteristics, lack of physical and economic access to the product, the existence of product competitors in the market and inappropriate promotion strategies. Furthermore, personal barriers identified as a new dimension and included lack of knowledge about the product and its benefits, a negative attitude toward the product and personal taste and preference. Understanding these barriers might contribute to design and implement effective and appropriate interventions to increase the consumption of these products among consumers.
The phenomenal epigenome in neurodevelopmental disorders
Authors: Ciptasari Ummi , van Bokhoven Hans 
Published: August 2020

Abstract
Disruption of chromatin structure due to epimutations is a leading genetic etiology of neurodevelopmental disorders, collectively known as chromatinopathies. We show that there is an increasing level of convergence from the high diversity of genes that are affected by mutations to the molecular networks and pathways involving the respective proteins, the disrupted cellular and subcellular processes, and their consequence for higher order cellular network function. This convergence is ultimately reflected by specific phenotypic features shared across the various chromatinopathies. Based on these observations, we propose that the commonly disrupted molecular and cellular anomalies might provide a rational target for the development of symptomatic interventions for defined groups of genetically distinct neurodevelopmental disorders.
Discoidin Domain Receptor 1 is a therapeutic target for neurodegenerative diseases
Authors: Fowler Alan J , Hebron Michaeline , Balaraman Kaluvu , Shi Wangke , Missner Alexander A , Greenzaid Jonathan D , Chiu Timothy L , Ullman Clementina , Weatherdon Ethan , Duka Val , Torres-Yaghi Yasar , Pagan Fernando L , Liu Xiaoguang , Ressom Habtom , Ahn Jaeil , Wolf Christian , Moussa Charbel 
Published: August 2020

Abstract
The role of Discoidin Domain Receptors (DDRs) is poorly understood in neurodegeneration. DDRs are upregulated in Alzheimer’s and Parkinson’s disease (PD), and DDRs knockdown reduces neurotoxic protein levels. Here we show that potent and preferential DDR1 inhibitors reduce neurotoxic protein levels in vitro and in vivo. Partial or complete deletion or inhibition of DDR1 in a mouse model challenged with α-synuclein increases autophagy and reduces inflammation and neurotoxic proteins. Significant changes of cerebrospinal fluid microRNAs that control inflammation, neuronal injury, autophagy and vesicular transport genes are observed in PD with and without dementia and Lewy body dementia, but these changes are attenuated or reversed after treatment with the DDR1 inhibitor, nilotinib. Collectively, these data demonstrate that DDR1 regulates autophagy and reduces neurotoxic proteins and inflammation and is a therapeutic target in neurodegeneration.
Long-term exposure to moderate fine particulate matter concentrations and cause-specific mortality in an ageing society
Authors: Lim Youn-Hee , Oh Jongmin , Han Changwoo , Bae Hyun-Joo , Kim Soontae , Jang Yoonyoung , Ha Eunhee , Hong Yun-Chul 
Published: August 2020

Abstract

Background
Long-term exposure to particulate matter &lt;2.5 μm in size (PM2.5) is considered a risk factor for premature death. However, only a few studies have been conducted in areas with moderate PM2.5 concentrations. Moreover, an ageing society may be more susceptible to environmental exposure and future burden of mortality due to PM2.5.

Methods
This study estimates hazard ratios (HRs) for all-cause and cause-specific mortality from long-term exposure to moderate PM2.5 concentrations in the elderly populations of seven cities in South Korea. We also projected nationwide elderly mortality caused by long-term exposure to PM2.5, accounting for population ageing until 2045. Mortality in 1 720 230 elderly adults aged ≥65 years in 2008 was monitored across 2009–16 and linked to modelled PM2.5 concentrations.

Results
A total of 421 100 deaths occurred in 2009–16, and the mean of annual PM2.5 concentration ranged between 21.1 and 31.9 μg/m3 in most regions. The overall HR for a 10 μg/m3 increase in a 36-month PM2.5 moving average was 1.024 (95% confidence intervals: 1.009, 1.039). We estimated that 11 833 all-cause nationwide elderly deaths were attributable to PM2.5 exposure. Annual death tolls may increase to 17 948 by 2045. However, if PM2.5 is reduced to 5 μg/m3 by 2045, the tolls may show a lower increase to 3646.

Conclusions
Long-term exposure to moderately high levels of PM2.5 was associated with increased mortality risk among the elderly. Thus, PM2.5 reduction in response to the projected ageing-associated mortality in South Korea is critical.
Use of linked administrative and laboratory data to confirm that serum 25(OH)D levels in pregnant women can be predicted from satellite estimates of ultraviolet radiation
Authors: Miller Kate M , Lucas Robyn M , Davis Elizabeth A , Hart Prue H , de Klerk Nicholas H 
Published: August 2020

Abstract

Background
Serum 25 hydroxyvitamin D [25(OH)D] levels of pregnant women have been linked to various health outcomes in their offspring. Satellite-derived ultraviolet radiation (UVR) data have been used as a proxy for 25(OH)D levels, as individual-level cohort studies are time-consuming, costly and only feasible for common outcomes.

Methods
Data on 25(OH)D levels from a public laboratory database were linked to data from the Western Australian Midwives’ Notification System and daily erythemal UVR dose from NASA satellites. Regression analysis was used to identify the time period prior to venesection where daily UVR dose best predicted 25(OH)D levels. A predictive model was used to validate the use of daily UVR dose as a proxy for personal sun exposure during pregnancy.

Results
Data from 19 173 pregnancies in women aged 18–43 years in Western Australia were included. The daily UVR dose averaged over the 90 days before venesection was the strongest UVR predictor of 25(OH)D level (a 5% increase per 1000 J m–2; equal to 3.3 nmol L–1 at the median of 66 nmol L–1). Ethnicity was the strongest predictor of 25(OH)D levels (21% lower in non-Caucasian vs Caucasian: equal to 7.2 nmol L–1 difference). Other significant predictors were gestation, age, year, parity, socio-economic status, remoteness, medical conditions and season.

Conclusion
NASA-derived erythemal UVR dose in the 90 days prior to venesection is a significant predictor of 25(OH)D levels in pregnant women. Linked administrative data can be used to investigate associations between UVR during pregnancy and health outcomes in offspring.
Phase retrieval of low-rank matrices by anchored regression
Authors: Lee Kiryung , Bahmani Sohail , Eldar Yonina C , Romberg Justin 
Published: August 2020

Abstract
We study the low-rank phase retrieval problem, where our goal is to recover a $d_1\times d_2$ low-rank matrix from a series of phaseless linear measurements. This is a fourth-order inverse problem, as we are trying to recover factors of a matrix that have been observed, indirectly, through some quadratic measurements. We propose a solution to this problem using the recently introduced technique of anchored regression. This approach uses two different types of convex relaxations: we replace the quadratic equality constraints for the phaseless measurements by a search over a polytope and enforce the rank constraint through nuclear norm regularization. The result is a convex program in the space of $d_1 \times d_2$ matrices. We analyze two specific scenarios. In the first, the target matrix is rank-$1$, and the observations are structured to correspond to a phaseless blind deconvolution. In the second, the target matrix has general rank, and we observe the magnitudes of the inner products against a series of independent Gaussian random matrices. In each of these problems, we show that anchored regression returns an accurate estimate from a near-optimal number of measurements given that we have access to an anchor matrix of sufficient quality. We also show how to create such an anchor in the phaseless blind deconvolution problem from an optimal number of measurements and present a partial result in this direction for the general rank problem.
Supply chain risk management modelling: A systematic literature network analysis review
Authors: Fagundes Marcus Vinicius Carvalho , Teles Eduardo Oliveira , Vieira de Melo Silvio A B , Freires Francisco Gaudêncio Mendonça 
Published: August 2020

AbstractThe modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.
Error analysis and uncertainty quantification for the heterogeneous transport equation in slab geometry
Authors: Graham Ivan G , Parkinson Matthew J , Scheichl Robert 
Published: August 2020

Abstract
We present an analysis of multilevel Monte Carlo (MLMC) techniques for the forward problem of uncertainty quantification for the radiative transport equation, when the coefficients (cross-sections) are heterogenous random fields. To do this we first give a new error analysis for the combined spatial and angular discretisation in the deterministic case, with error estimates that are explicit in the coefficients (and allow for very low regularity and jumps). This detailed error analysis is done for the one-dimensional space–one-dimensional angle slab-geometry case with classical diamond differencing. Under reasonable assumptions on the statistics of the coefficients, we then prove an error estimate for the random problem in a suitable Bochner space. Because the problem is not self-adjoint, stability can only be proved under a path-dependent mesh resolution condition. This means that, while the Bochner space error estimate is of order $\mathcal{O}(h^{\eta })$ for some $\eta $ where $h$ is a (deterministically chosen) mesh diameter, smaller mesh sizes might be needed for some realisations. We also show that the expected cost for computing a typical quantity of interest remains of the same order as for a single sample. This leads to rigorous complexity estimates for Monte Carlo (MC) and MLMC: for particular linear solvers, the multilevel version gives up to two orders of magnitude improvement over MC. We provide numerical results supporting the theory.
One-Year Decline of Poliovirus Antibodies Following Fractional-Dose Inactivated Poliovirus Vaccine
Authors: Saleem Ali Faisal , Mach Ondrej , Yousafzai Mohammad Tahir , Kazi Zaubina , Baig Attaullah , Sajid Muhammad , Jeyaseelan Vishali , Sutter Roland W , Zaidi Anita K M 
Published: August 2020

Abstract

Background
Fractional dose (one-fifth of full intramuscular dose) of inactivated poliovirus vaccine (fIPV) administered intradermally is used as IPV dose-sparing strategy. We compared the rate of decline of poliovirus antibodies (PVA) in recipients of 2 doses of fIPV or IPV.

Methods
A community-based randomized controlled trial was conducted in Karachi, Pakistan. Children aged 14 weeks were randomized into fIPV or full IPV (study arms A, B) and received 1 vaccine dose at age 14 weeks and 1 at age 9 months. PVAs were measured at age 14, 18 weeks and 10, 21 months.

Results
Seroprevalence of poliovirus type 2 antibodies in 170/250 (68%) children after 2 IPV or fIPV doses at age 10 months in A and B reached 100% vs 99% (P = .339), and at 21 months, 86% vs 67% (P = .004). Between age 10 and 21 months antibody log2 titers dropped from ≥ 10.5 to 6.8 in A and from 9.2 to 3.7 in B.

Conclusions
There was a significant decline in antibody titers 12 months following the second IPV dose. The slope of decline was similar for full IPV and fIPV recipients. The results provide further evidence that fIPV is a viable option for IPV dose-sparing.

Clinical Trials Registration
NCT03286803.