bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multigenerational Households During Childhood and Trajectories of Cognitive Functioning Among U.S. Older Adults
Authors: Lee Haena , Ryan Lindsay H , Ofstedal Mary Beth , Smith Jacqui 
Published: September 2020

AbstractObjectivesFamily structure in childhood influences early brain development and cognitive performance in adulthood. Much less is known about its long-term impact on later-life cognitive functioning. We extend the two-generation family structure approach to investigate the potential contribution of living with grandparents in multigenerational households to differences in cognitive functioning at older ages.MethodsData were drawn from 9 waves of the Health and Retirement Study (1998–2014) merged with newly collected childhood family history data. Five types of family structure were assessed: two-parent households, two-parent households with grandparents, single-parent households, single-parent households with grandparents, and grandparent-headed households. Growth curve models were used to estimate trajectories of cognitive functioning over time.ResultsChildhood family structure was significantly associated with level of cognitive functioning, but not to rate of cognitive decline. Relative to those from two-parent households, individuals who grew up in multigenerational households showed higher levels of cognitive functioning, including those living with a single parent and grandparents. Those who lived with a single parent alone were the most disadvantaged. The effects of these multigenerational households persisted net of childhood and adulthood socioeconomic status and health outcomes.DiscussionGrandparent coresidence may cultivate a socially enriched home environment, providing resources and protection for early cognitive development that could persist throughout life. Multigenerational living arrangements are likely to increase as the contemporary population ages. More research needs to be done to understand the impact of these living arrangements on future generations’ brain health and cognitive aging.
Elevated Risk of Cognitive Impairment Among Older Sexual Minorities: Do Health Conditions, Health Behaviors, and Social Connections Matter?
Authors: Hsieh Ning , Liu Hui , Lai Wen-Hua 
Published: September 2020

Abstract

Background and Objectives
Little research has examined cognitive health disparities between sexual minority and heterosexual populations. Further, most extant studies rely on subjective measures of cognitive functioning and non-probability samples. This study uses a performance-based cognitive screening tool and a nationally representative sample of older Americans to examine the disparity in cognitive impairment by sexual orientation and the potential mechanisms producing this disparity.

Research Design and Methods
Using data from the 2015–2016 National Social Life, Health, and Aging Project (N = 3,567), we analyzed respondents’ scores on the survey-adapted Montreal Cognitive Assessment. We estimated ordinal logit regressions to examine the relationship between sexual orientation and cognitive impairment and used the Karlson–Holm–Breen method to assess how mental and physical conditions, health behaviors, and social connections mediate this relationship.

Results
The prevalence of cognitive impairment is significantly higher among sexual minority older adults than among heterosexual older adults when sociodemographic factors are adjusted for. Depressive symptoms explain some of this prevalence gap. Although anxiety symptoms, physical comorbidity, health behaviors, and social connections may contribute to cognitive impairment, they do not explain the cognitive disparity by sexual orientation.

Discussion and Implications
The findings indicate that depressive symptoms are an important link between minority sexual orientation and cognitive impairment and highlight the importance of studying other potential mechanisms that we could not explore in this study. Future research should further investigate how minority stress processes may unfold to accelerate cognitive decline among sexual minorities over the life course.
A novel mouse model for pyridoxine-dependent epilepsy due to antiquitin deficiency
Authors: Al-Shekaili Hilal H , Petkau Terri L , Pena Izabella , Lengyell Tess C , Verhoeven-Duif Nanda M , Ciapaite Jolita , Bosma Marjolein , van Faassen Martijn , Kema Ido P , Horvath Gabriella , Ross Colin , Simpson Elizabeth M , Friedman Jan M , van Karnebeek Clara , Leavitt Blair R 
Published: September 2020

AbstractPyridoxine-dependent epilepsy (PDE) is a rare autosomal recessive disease caused by mutations in the ALDH7A1 gene leading to blockade of the lysine catabolism pathway. PDE is characterized by recurrent seizures that are resistant to conventional anticonvulsant treatment but are well-controlled by pyridoxine (PN). Most PDE patients also suffer from neurodevelopmental deficits despite adequate seizure control with PN. To investigate potential pathophysiological mechanisms associated with ALDH7A1 deficiency, we generated a transgenic mouse strain with constitutive genetic ablation of Aldh7a1. We undertook extensive biochemical characterization of Aldh7a1-KO mice consuming a low lysine/high PN diet. Results showed that KO mice accumulated high concentrations of upstream lysine metabolites including ∆1-piperideine-6-carboxylic acid (P6C), α-aminoadipic semialdehyde (α-AASA) and pipecolic acid both in brain and liver tissues, similar to the biochemical picture in ALDH7A1-deficient patients. We also observed preliminary evidence of a widely deranged amino acid profile and increased levels of methionine sulfoxide, an oxidative stress biomarker, in the brains of KO mice, suggesting that increased oxidative stress may be a novel pathobiochemical mechanism in ALDH7A1 deficiency. KO mice lacked epileptic seizures when fed a low lysine/high PN diet. Switching mice to a high lysine/low PN diet led to vigorous seizures and a quick death in KO mice. Treatment with PN controlled seizures and improved survival of high-lysine/low PN fed KO mice. This study expands the spectrum of biochemical abnormalities that may be associated with ALDH7A1 deficiency and provides a proof-of-concept for the utility of the model to study PDE pathophysiology and to test new therapeutics.
Dynamic and steady-state analysis of steam reforming of methane to hydrogen in a reformer for electric-powered unmanned aerial vehicle
Authors: Kosa Ergin 
Published: September 2020

Abstract
Hydrogen-fueled combustion systems are becoming popular in recent years. Methane is one of the significant hydrogen supplier in nature. Thus, in the study, the natural gas-fueled reactor-assisted solid oxide fuel-cell system is configured to provide a current to load the battery to turn the propeller of an unmanned aerial vehicle in the large-scale hydrogen-onboard system. The methane-fueled reactor has not been studied under a large-scale case in literature yet. To investigate the amount of products, this paper presents about the steam-reforming performance of natural gas in steady state and transient in the reactor. The influence of vital parameters such as steam/carbon, gas feed temperatures, the amount of heat transferred to the reactor in methane steam reforming for a plug flow reactor, and a continuous stirred tank-type reactor is investigated respectively. Methane conversion, yield of hydrogen gas and H2 gas generation for different medium conditions along the reactor are studied on by using the COMSOL Multiphysics program. The steady-state and time-dependent characteristics of the steam reforming of natural gas are focused on. The high conversion ratio of methane gas is obtained by ranking the steam/carbon ratio. The released hydrogen gas molar flow rate is increasing according to the reactor volume. The achieved power provided by produced gas of H2 is 97 hp supplying the thrust force for an unmanned aerial vehicle.
Design of tunnel drier for the non-centrifugal sugar industry
Authors: Raj S P , Srinivas M , Sravya B , O'Donovan T S , Reddy K S 
Published: September 2020

Abstract
The quality and shelf-life of NCS (non-centrifugal sugar) mainly depend on the moisture content present in it. NCS formed by the current practice of open sun drying contains moisture substantially greater than the acceptable level of 3%. This paper presents the work undertaken to design a tunnel dryer to achieve the required moisture content of granular NCS for various load conditions. An experimental investigation was conducted on a laboratory-scale dryer to achieve the required moisture content for various loads. This experimental data was compared with the output of two drying models and a validated one that could be used to design an industrial-scale dryer. For various load conditions on each tray and dryer exit temperature, nine different cases were determined. The number of trucks, drying time, and energy requirements were computed using the validated theoretical model. A tunnel dryer with a length, height and width of 18, 1.2 and 1 m respectively and 18 trucks with 24 trays on each truck is shown to be dry 1 tone of NCS based on the minimum energy requirement of 176.49 MJ, and a drying time of 68 min.
38406501359372282063949 and All That: Monodromy of Fano Problems
Authors: Hashimoto Sachi , Kadets Borys 
Published: September 2020

Abstract
A Fano problem is an enumerative problem of counting $r$-dimensional linear subspaces on a complete intersection in ${\mathbb{P}}^n$ over a field of arbitrary characteristic, whenever the corresponding Fano scheme is finite. A classical example is enumerating lines on a cubic surface. We study the monodromy of finite Fano schemes $F_{r}(X)$ as the complete intersection $X$ varies. We prove that the monodromy group is either symmetric or alternating in most cases. In the exceptional cases, the monodromy group is one of the Weyl groups $W(E_6)$ or $W(D_k)$.
Healthcare cyber-attacks and the COVID-19 pandemic: an urgent threat to global health
Authors: Muthuppalaniappan Menaka , Stevenson Kerrie 
Published: September 2020

Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic has resulted in widespread disruption to the healthcare industry. Alongside complex issues relating to ensuring sufficient healthcare capacity and resourcing, healthcare organizations and universities are now also facing heightened cyber-security threats in the midst of the pandemic. Since the outbreak began, various healthcare providers and academic institutions across the world have been targeted in a variety of complex and coordinatized cyber-attacks. International and national regulatory bodies have stressed the urgent need for healthcare providers and universities to protect themselves against cyber-attacks during COVID-19, recognizing that a growing number of cyber-criminals are seeking to capitalize on the vulnerabilities of the healthcare sector during this period. This includes a desire to steal intellectual property such as data relating to COVID-19 vaccine development, modelling and experimental therapeutics. It is therefore essential that healthcare providers and universities ensure they are informed, protected and prepared to respond to any cyber-threat. This article outlines key COVID-19 cyber-security principles for both healthcare organizations and academic institutions.
Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program
Authors: Lourie Eli M , Utidjian Levon Haig , Ricci Maria F , Webster Linda , Young Carola , Grenfell Stephanie M 
Published: September 2020

Abstract

Objective
To give providers a better understanding of how to use the electronic health record (EHR), improve efficiency, and reduce burnout.

Materials and Methods
All ambulatory providers were offered at least 1 one-on-one session with an “optimizer” focusing on filling gaps in EHR knowledge and lack of customization. Success was measured using pre- and post-surveys that consisted of validated tools and homegrown questions. Only participants who returned both surveys were included in our calculations.

Results
Out of 1155 eligible providers, 1010 participated in optimization sessions. Pre-survey return rate was 90% (1034/1155) and post-survey was 54% (541/1010). 451 participants completed both surveys. After completing their optimization sessions, respondents reported a 26% improvement in mean knowledge of EHR functionality (P &lt; .01), a 19% increase in the mean efficiency in the EHR (P &lt; .01), and a 17% decrease in mean after-hours EHR usage (P &lt; .01). Of the 401 providers asked to rate their burnout, 32% reported feelings of burnout in the pre-survey compared to 23% in the post-survey (P &lt; .01). Providers were also likely to recommend colleagues participate in the program, with a Net Promoter Score of 41.

Discussion
It is possible to improve provider efficiency and feelings of burnout with a personalized optimization program. We ascribe these improvements to the one-on-one nature of our program which provides both training as well as addressing the feeling of isolation many providers feel after implementation.

Conclusion
It is possible to reduce burnout in ambulatory providers with personalized retraining designed to improve efficiency and knowledge of the EHR.
Nearly Exact Bayesian Estimation of Non-linear No-Arbitrage Term-Structure Models
Authors: Pericoli Marcello , Taboga Marco 
Published: September 2020

Abstract
We propose a general method for the Bayesian estimation of a very broad class of non-linear no-arbitrage term-structure models. The main innovation we introduce is a computationally efficient method, based on deep learning techniques, for approximating no-arbitrage model-implied bond yields to any desired degree of accuracy. Once the pricing function is approximated, the posterior distribution of model parameters and unobservable state variables can be estimated by standard Markov Chain Monte Carlo methods. As an illustrative example, we apply the proposed techniques to the estimation of a shadow-rate model with a time-varying lower bound and unspanned macroeconomic factors.
Lens opacity prevalence among the residents in high natural background radiation area in Yangjiang, China
Authors: Su Yinping , Wang Yan , Yoshinaga Shinji , Zhu Weiguo , Tokonami Shinji , Zou Jianming , Tan Guangxiang , Tsuji Mayumi , Akiba Suminori , Sun Quanfu 
Published: September 2020

Abstract
The aim of the study was to evaluate the risk and threshold doses of lens opacity among residents exposed to low-dose radiation. Residents aged ≥45 years were recruited from a high natural background radiation (HNBR) area in Yangjiang City and a control area selected from nearby Enping City. Lens opacities (LOPs) were classified according to the Lens Opacities Classification System (LOCS) III system. Face-to-face interviews were conducted to collect information on lifestyles, migration and medical history. Life-time cumulative doses were estimated using gender, age, occupancy factors and environmental radiation doses received indoors and outdoors. Logistic regression analyses were conducted to estimate the dose response and determine thresholds. In the HNBR area, among 479 study participants, 101 (21.1%), 245(51.1%) and 23 cases (4.8%), respectively, of cortical, nuclear and posterior subcapsular (PSC) LOPs were found. In the control area, those types of LOPs were identified among 58 cases (12.6%), 206 cases (51.2%) and 6 cases (1.3%) of 462 examinees, respectively. Cumulative eye lens dose was estimated to be 189.5 ± 36.5 mGy in the HNBR area. Logistic analyses gave odds ratios at 100 mGy of 1.26 [95% confidence interval (CI) 1.00–1.60], 0.81 (95% CI 0.64–1.01) and 1.73 (95% CI 1.05–2.85) for cortical, nuclear and PSC LOPs, respectively. For cortical LOPs, a logistic analysis with a threshold dose gave a threshold estimate of 140 mGy (90% CI 110–160 mGy). The results indicated that population exposed to life-time, low-dose-rate environmental radiation was at an elevated risk of cortical and PSC LOPs. A statistically significant threshold dose was obtained for cortical LOPs and no threshold dose for PSC LOPs.
Sensing when the wall comes tumbling down
Authors: Brummell David A 
Published: September 2020

This article comments on:
Paniagua C, Ric-Varas P, Garcia-Gago JA, López-Casado G, Blanco-Portales R, Muñoz-Blanco J, Schückel J, Knox JP, Matas AJ, Quesada MA, Posé S, Mercado JA. 2020. Elucidating the role of polygalacturonase genes in strawberry fruit softening. Journal of Experimental Botany 71, 7103–7117.
Physical properties and evolution of (sub-)millimetre-selected galaxies in the galaxy formation simulation shark
Authors: Lagos Claudia del P , da Cunha Elisabete , Robotham Aaron S G , Obreschkow Danail , Valentino Francesco , Fujimoto Seiji , Magdis Georgios E , Tobar Rodrigo 
Published: September 2020

ABSTRACT
We thoroughly explore the properties of (sub)-millimetre (mm) selected galaxies (SMGs) in the shark semi-analytic model of galaxy formation. Compared to observations, the predicted number counts at wavelengths (λ) 0.6–2 mm and redshift distributions at 0.1–2 mm, agree well. At the bright end (≳1 mJy), shark galaxies are a mix of mergers and disc instabilities. These galaxies display a stacked far-ultraviolet (FUV)-to-far-infrared (FIR) spectrum that agrees well with observations. We predict that current optical/NIR surveys are deep enough to detect bright (&gt;1 mJy) λ = 0.85–2 mm-selected galaxies at z ≲ 5, but too shallow to detect counterparts at higher redshift. A James Webb Space Telescope 10 000s survey should detect all counterparts for galaxies with S0.85mm ≳ 0.01 mJy. We predict SMG’s disks contribute significantly (negligibly) to the rest-frame UV (IR). We investigate the 0 ≤ z ≤ 6 evolution of the intrinsic properties of &gt;1 mJy λ = 0.85–2 mm-selected galaxies finding their: (i) stellar masses are $\gt 10^{10.2}\rm \, M_{\odot }$, with the 2 mm ones tracing the most massive galaxies ($\gt 10^{11}\rm \, M_{\odot }$); (ii) specific star formation rates (SFR) are mildly (≈3–10 times) above the main sequence (MS); (iii) host halo masses are $\gtrsim 10^{12.3}\, \rm M_{\odot }$, with 2 mm galaxies tracing the most massive haloes (protoclusters); (iv) SMGs have lower dust masses ($\approx 10^{8}\, \rm M_{\odot }$), higher dust temperatures (≈40–45 K) and higher rest-frame V-band attenuation (&gt;1.5) than MS galaxies; (v) sizes decrease with redshift, from 4 kpc at z = 1 to ≲1 kpc at z = 4; and (vi) the carbon monoxide line spectra of S0.85mm ≳ 1 mJy sources peak at 4 → 3. Finally, we study the contribution of SMGs to the molecular gas and cosmic SFR density at 0 ≤ z ≤ 10, finding that &gt;1 mJy sources make a negligible contribution at z ≳ 3 and 5, respectively, suggesting current observations have unveiled the majority of the SF at 0 ≤ z ≤ 10.
Dynamical mass inference of galaxy clusters with neural flows
Authors: Kodi Ramanah Doogesh , Wojtak Radosław , Ansari Zoe , Gall Christa , Hjorth Jens 
Published: September 2020

ABSTRACTWe present an algorithm for inferring the dynamical mass of galaxy clusters directly from their respective phase-space distributions, that is, the observed line-of-sight velocities and projected distances of galaxies from the cluster centre. Our method employs normalizing flows, a deep neural network capable of learning arbitrary high-dimensional probability distributions, and inherently accounts, to an adequate extent, for the presence of interloper galaxies which are not bounded to a given cluster, the primary contaminant of dynamical mass measurements. We validate and showcase the performance of our neural flow approach to robustly infer the dynamical mass of clusters from a realistic mock cluster catalogue. A key aspect of our novel algorithm is that it yields the probability density function of the mass of a particular cluster, thereby providing a principled way of quantifying uncertainties, in contrast to conventional machine learning (ML) approaches. The neural network mass predictions, when applied to a contaminated catalogue with interlopers, have a mean overall logarithmic residual scatter of 0.028 dex, with a lognormal scatter of 0.126 dex, which goes down to 0.089 dex for clusters in the intermediate- to high-mass range. This is an improvement by nearly a factor of 4 relative to the classical cluster mass scaling relation with the velocity dispersion, and outperforms recently proposed ML approaches. We also apply our neural flow mass estimator to a compilation of galaxy observations of some well-studied clusters with robust dynamical mass estimates, further substantiating the efficacy of our algorithm.
Visualization of uracils created by APOBEC3A using UdgX shows colocalization with RPA at stalled replication forks
Authors: Stewart Jessica A , Schauer Grant , Bhagwat Ashok S 
Published: September 2020

Abstract
The AID/APOBEC enzymes deaminate cytosines in single-stranded DNA (ssDNA) and play key roles in innate and adaptive immunity. The resulting uracils cause mutations and strand breaks that inactivate viruses and diversify antibody repertoire. Mutational evidence suggests that two members of this family, APOBEC3A (A3A) and APOBEC3B, deaminate cytosines in the lagging-strand template during replication. To obtain direct evidence for the presence of these uracils, we engineered a protein that covalently links to DNA at uracils, UdgX, for mammalian expression and immunohistochemistry. We show that UdgX strongly prefers uracils in ssDNA over those in U•G or U:A pairs, and localizes to nuclei in a dispersed form. When A3A is expressed in these cells, UdgX tends to form foci. The treatment of cells with cisplatin, which blocks replication, causes a significant increase in UdgX foci. Furthermore, this protein- and hence the uracils created by A3A- colocalize with replication protein A (RPA), but not with A3A. Using purified proteins, we confirm that RPA inhibits A3A by binding ssDNA, but despite its overexpression following cisplatin treatment, RPA is unable to fully protect ssDNA created by cisplatin adducts. This suggests that cisplatin treatment of cells expressing APOBEC3A should cause accumulation of APOBEC signature mutations.
Genetic Events and Signaling Mechanisms Underlying Schwann Cell Fate in Development and Cancer
Authors: Vasudevan Harish N , Lucas Calixto-Hope G , Villanueva-Meyer Javier E , Theodosopoulos Philip V , Raleigh David R 
Published: September 2020

Abstract
In this review, we describe Schwann cell development from embryonic neural crest cells to terminally differentiated myelinated and nonmyelinated mature Schwann cells. We focus on the genetic drivers and signaling mechanisms mediating decisions to proliferate versus differentiate during Schwann cell development, highlighting pathways that overlap with Schwann cell development and are dysregulated in tumorigenesis. We conclude by considering how our knowledge of the events underlying Schwann cell development and mouse models of schwannoma, neurofibroma, and malignant peripheral nerve sheath tumor can inform novel therapeutic strategies for patients with cancers derived from Schwann cell lineages.