bluuebunny/crossref_metadata_2025_split huggingface dataset:
III-nitride blue light-emitting diodes utilizing hybrid tunnel junction with low excess voltage
Authors: Wang Jianfeng , Young Erin C , Ho Wan Ying , Bonef Bastien , Margalith Tal , Speck James S 
Published: October 2020

Abstract
Tunnel junctions (TJs) offer alternative designs and promise in some cases improved performances for nitride-based light-emitting diode (LEDs) and laser diodes (LDs) and are widely used in academic studies. However, the voltage penalty of the LEDs and LDs, in comparison with standard contact technologies, has been a major concern especially for commercial applications. In this study, we investigated methods to achieve low excess voltage. Using ammonia molecular beam epitaxy (NH3 MBE), GaN TJs were grown on commercial metalorganic chemical vapor deposition (MOCVD) grown blue LED wafers. Atom probe tomography (APT) and secondary ion mass spectrometry (SIMS) indicate 1 min buffered HF (BHF) clean of the regrowth interface reduced Mg and impurity incorporation into the n++ regrown TJ layers. The wafers were processed and measured in parallel to reference wafers using both university processes and industry processes. At 20 A cm−2, TJ LEDs grown with Si δ-doping at the junction interface processed in the university cleanroom had a forward voltage of 3.17 V in comparison to 2.86 V for LEDs processed with a standard indium tin oxide (ITO) contact. Unencapsulated TJ LEDs processed by industrial process without ITO or current blocking layer had about 0.3 V excess voltage compared to reference LEDs. The TJ LEDs also had more uniform light emission profile. The low excess voltage and consistent results acquired in both settings suggest that TJ can be scaled for industrial processes.
Bistability study of buckled MEMS diaphragms
Authors: Ratnayake Dilan , Derakhshani Masoud , Berfield Thomas A , Walsh Kevin M 
Published: October 2020

Abstract
Bistable elements are candidate structures for the evolving field of MEMS-based no-power event-driven sensors. In this paper, we present a strategy for producing bistable elements and investigate two compatible bilayer material systems for their realization using MEMS technology. Both bilayer systems leverage thermally-grown silicon dioxide as the principal stress-producing layer and a second material (either polyimide or aluminum) as the main structural layer. Arrays of buckled circular diaphragms, ranging in diameter from 100 μm to 700 μm in 50 μm increments, were fabricated and their performances were compared to modeled and FEA-simulated results. In all cases, the diaphragms buckled when DRIE-released as expected, and their buckled experimental heights were within 9.1% of the theory and 1.8% of the FEA prediction. Interestingly, the smaller diameter structures exhibited a directional bias which we investigate and forecast using FEA. These bistable mechanical elements have the ability to serve as building blocks for no-power threshold-driven smart switches. New contributions to the field include: (a) introduction of a new bistable material system made from aluminum and compressive oxide, (b) investigation of diaphragm diameter size as it related to the phenomena of bistability versus non-bistability, (c) FEA analysis of the critical transition between bistability and non-bistability, and (d) introduction of the ‘dome factor’ term to describe dome quality.
Statistical Estimation of the Reproductive Number From Case Notification Data
Authors: White Laura F , Moser Carlee B , Thompson Robin N , Pagano Marcello 
Published: October 2020

Abstract
The reproductive number, or reproduction number, is a valuable metric in understanding infectious disease dynamics. There is a large body of literature related to its use and estimation. In the last 15 years, there has been tremendous progress in statistically estimating this number using case notification data. These approaches are appealing because they are relevant in an ongoing outbreak (e.g., for assessing the effectiveness of interventions) and do not require substantial modeling expertise to be implemented. In this article, we describe these methods and the extensions that have been developed. We provide insight into the distinct interpretations of the estimators proposed and provide real data examples to illustrate how they are implemented. Finally, we conclude with a discussion of available software and opportunities for future development.
An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes
Authors: Wen Y , Lu Qing 
Published: October 2020

SummarySet-based analysis that jointly considers multiple predictors in a group has been broadly conducted for association tests. However, their power can be sensitive to the distribution of phenotypes, and the underlying relationships between predictors and outcomes. Moreover, most of the set-based methods are designed for single-trait analysis, making it hard to explore the pleiotropic effect and borrow information when multiple phenotypes are available. Here, we propose a kernel-based multivariate U-statistics (KMU) that is robust and powerful in testing the association between a set of predictors and multiple outcomes. We employed a rank-based kernel function for the outcomes, which makes our method robust to various outcome distributions. Rather than selecting a single kernel, our test statistics is built based on multiple kernels selected in a data-driven manner, and thus is capable of capturing various complex relationships between predictors and outcomes. The asymptotic properties of our test statistics have been developed. Through simulations, we have demonstrated that KMU has controlled type I error and higher power than its counterparts. We further showed its practical utility by analyzing a whole genome sequencing data from Alzheimer’s Disease Neuroimaging Initiative study, where novel genes have been detected to be associated with imaging phenotypes.
Epidemiological Trends of Racial Differences in Early- and Late-onset Group B Streptococcus Disease in Tennessee
Authors: Hamdan Lubna , Vandekar Simon , Spieker Andrew J , Rahman Herdi , Ndi Danielle , Shekarabi Emily S , Thota Jyotsna , Rankin Danielle A , Haddadin Zaid , Markus Tiffanie , Aronoff David M , Schaffner William , Gaddy Jennifer A , Halasa Natasha B 
Published: October 2020

Abstract

Background
The rates of early-onset group B Streptococcus (GBS) disease (EOGBS) have declined since the implementation of universal screening and intrapartum antibiotic prophylaxis guidelines but late-onset (LOGBS) rates remain unchanged. Racial differences in GBS disease rates have been previously documented, with Black infants having higher rates of EOGBS and LOGBS, but it is not known if these have persisted. Therefore, we sought to determine the differences in EOGBS and LOGBS disease by race over the past decade in Tennessee.

Methods
This study used active population-based and laboratory-based surveillance data for invasive GBS disease conducted through Active Bacterial Core surveillance in selected counties across Tennessee. We included infants younger than 90 days and who had invasive GBS disease between 2009 and 2018.

Results
A total of 356 GBS cases were included, with 60% having LOGBS. EOGBS and LOGBS had decreasing temporal trends over the study period. Overall, there were no changes in temporal trend noted in the rates of EOGBS and LOGBS among White infants. However, Black infants had significantly decreasing EOGBS and LOGBS temporal trends (relative risk [95% confidence interval], .87 [.79, .96] [P = .007] and .90 [.84–.97] [P = .003], respectively).

Conclusions
Years after the successful implementation of the universal screening guidelines, our data revealed an overall decrease in LOGBS rates, primarily driven by changes among Black infants. More studies are needed to characterize the racial disparities in GBS rates, and factors driving them. Prevention measures such as vaccination are needed to have a further impact on disease rates.
Artificial light at night does not alter heart rate or locomotor behaviour in Caribbean spiny lobster (Panulirus argus): insights into light pollution and physiological disturbance using biologgers
Authors: Steell S Clay , Cooke Steven J , Eliason Erika J 
Published: October 2020

AbstractLight pollution is a rapidly growing threat to biodiversity, with many unknown or poorly understood effects on species and ecosystems spanning terrestrial and aquatic environments. Relative to other taxa, the effects of artificial light at night on aquatic invertebrates are poorly understood, despite the abundance and integral significance of invertebrates to marine and freshwater ecosystems. We affixed heart rate and acceleration biologgers to adult Caribbean spiny lobster (Panulirus argus), an ecologically, culturally and economically significant species in the western Atlantic ocean, to test the effect of artificial light at night on this species’ physiology and behaviour relative to appropriate controls. The experiment was conducted in a simulated reef mesocosm in The Bahamas with incandescent lighting used to illuminate it at 1 lux, approximating light levels offshore of urban areas. In the conditions tested here, artificial light at night was found to have no effect on heart rate or locomotor activity in P. argus. We observed a dissociation between activity and heart rate at both short-term and long-term temporal scales. Lobsters were more active at night and nocturnal activity was higher in trials closer to new moon; however, heart rate did not vary with diel or lunar cycle. There was less than 8% difference between daytime and night time average heart rate despite the average percentage of time spent active almost tripling in nights versus days, to 19.5% from 7.2%, respectively. Our findings suggest P. argus may have some resilience to low levels of light pollution, which warrants further research on aspects of this species’ life history, performance and fitness in the face of this potential anthropogenic disturbance.
My Gain or Your Loss? Changes in within-Couple Relative Wealth and Partners’ Life Satisfaction
Authors: Tisch Daria 
Published: October 2020

Abstract
This article studies the relationship between partner’s wealth share and their life satisfaction in different-sex couples using the German Socio-Economic Panel Study (2002, 2007, 2012, and 2017). Resource-based theories and gender ideology are two prominent approaches to explain the effects of within-couple relative resources on various outcomes. Recently, scholars have argued that not relative but absolute personal resources are the crucial factor (autonomy perspective). Testing these different approaches is challenging because relative wealth mathematically perfectly depends on both partners’ absolute wealth, meaning the effects of relative and absolute wealth are hard to disentangle. To accurately test the theoretical approaches, this study analyses the relationship between relative wealth and life satisfaction under different conditions, such as whether relative wealth increases due to an increase in one’s own absolute wealth or a decrease in one’s partner’s absolute wealth. Individual fixed effects regressions show no statistically significant relationships between relative wealth and life satisfaction for men. In contrast, for women the relationship between their relative wealth and life satisfaction is significantly positive, in line with resource-based theories and the autonomy perspective. Further analyses reveal that this relationship is driven rather by changes in women’s own than in their partner’s absolute wealth.
Temporal and spatial interactions modulate the soybean microbiome
Authors: Moroenyane Itumeleng , Tremblay Julien , Yergeau Étienne 
Published: October 2020

ABSTRACTManaged agricultural ecosystems are unique systems where crops and microbes are intrinsically linked. This study focuses on discerning microbiome successional patterns across all plant organs and tests for evidence of niche differentiation along temporal and spatial axes. Soybean plants were grown in an environmental chamber till seed maturation. Samples from various developmental stages (emergence, growth, flowering and maturation) and compartments (leaf, stem, root and rhizosphere) were collected. Community structure and composition were assessed with 16S rRNA gene and ITS region amplicon sequencing. Overall, the interaction between spatial and temporal dynamics modulated alpha and beta diversity patterns. Time lag analysis on measured diversity indices highlighted a strong temporal dependence of communities. Spatial and temporal interactions influenced the relative abundance of the most abundant genera, whilst random forest predictions reinforced the observed localisation patterns of abundant genera. Overall, our results show that spatial and temporal interactions tend to maintain high levels of biodiversity within the bacterial/archaeal community, whilst in fungal communities OTUs within the same genus tend to have overlapping niches.
Campylobacter jejuni persistently colonizes gnotobiotic altered Schaedler flora C3H/HeN mice and induces mild colitis
Authors: Wymore Brand Meghan , Sahin Orhan , Hostetter Jesse M , Trachsel Julian , Zhang Qijing , Wannemuehler Michael J 
Published: October 2020

ABSTRACT
Campylobacter jejuni is a major cause of food-borne human bacterial gastroenteritis but animal models for C. jejuni mediated disease remain limited because C. jejuni poorly colonizes immunocompetent, conventionally-reared (Conv-R) mice. Thus, a reliable rodent model (i.e. persistent colonization) is desirable in order to evaluate C. jejuni-mediated gastrointestinal disease and mechanisms of pathogenicity. As the nature and complexity of the microbiota likely impacts colonization resistance for C. jejuni, Conv-R and gnotobiotic C3H/HeN mice were used to evaluate the persistence of C. jejuni colonization and development of disease. A total of four C. jejuni isolates readily and persistently colonized ASF mice and induced mild mucosal inflammation in the proximal colon, but C. jejuni did not stably colonize nor induce lesions in Conv-R mice. This suggests that the pathogenesis of C. jejuni is influenced by the microbiota, and that ASF mice offer a reproducible model to study the influence of the microbiota on the ability of C. jejuni to colonize the gut and to mediate gastroenteritis.
Study on the relationships between molecular weights of chondroitin sulfate oligosaccharides and Aβ-induced oxidative stress and the related mechanisms
Authors: Zhao Na , Meng Jie , Jiang Wenjie , Xu Wenjia , Liu Chunhui , Wang Fengshan 
Published: October 2020

Abstract
In the present study, we studied anti-Alzheimer′s disease (AD) activities of chondroitin sulfate (CS) oligosaccharides with different molecular weights. CS from shark cartilage was degraded by a recombinant CS endolyase, chondroitinase ABC I (CHSase ABC I), and CS disaccharide (DP2), tetrasaccharide (DP4), hexasaccharide (DP6), octasaccharide (DP8), decasaccharide (DP10) and dodecasaccharide (DP12) were obtained by separation with gel filtration. Anti-AD activities of CS oligosaccharides were assessed using Aβ-injured SH-SY5Y cells and BV2 cells. It was shown that CS oligosaccharides could block Aβ-induced oxidative stress, mitochondrial dysfunction and activation of intrinsic apoptotic pathway for SH-SY5Y cells. Furthermore, these activities increased with the increase of molecular weights. For Aβ-injured BV2 cells, CS oligosaccharides inhibited oxidative stress, the production of proinflammatory cytokines and the activation of toll-like receptor pathway, and CS DP2 had the best activity among them. In conclusion, CS oligosaccharides suppressed Aβ-induced oxidative stress and relevant injury in vitro, and these effects had different relationships with the molecular weights of CS oligosaccharides for different cell lines, which might be caused by different mechanisms.
Does health literacy explain regional health disparities among adolescents in Finland?
Authors: Simonsen Nina , Wackström Nanna , Roos Eva , Suominen Sakari , Välimaa Raili , Tynjälä Jorma , Paakkari Leena 
Published: October 2020

SummaryHealth literacy (HL)—as a broad range of health-related competencies—has been proposed to be a promising construct in understanding health disparities better, also among adolescents. Several factors have been found to explain differences in adolescents’ HL levels; however, not much is known about how different regions of a country or majority/minority status is associated with HL, or whether HL is associated with regional health disparities. The aim of this study was to examine and compare HL and health levels among majority- and minority-language-speaking adolescents living in different regions of Finland, and to explore if HL explains regional health disparities, taking into account other important structural stratifying factors. The study uses Health Behaviour in School-aged Children survey data, collected among 13- and 15-year-old pupils in Finnish- and Swedish-speaking schools in Finland in 2014 (N = 3853/1123; 85/83%). Findings suggest that regional differences in HL levels and regional health disparities exist in both language groups. Health disparities were present in the Finnish-speaking sample among boys, the proportion rating their health as excellent ranging from 23 to 31% across regions, and in the Swedish-speaking sample among girls, the corresponding numbers ranging from 13 to 20%. In addition to other important structural stratifying factors, comprehensive HL explains these regional health disparities. This study adds to prior studies on the role of HL as a modifiable health resource by showing that regional health disparities among adolescents can partially be attributed to corresponding HL differences.
Statistical Hyperbolicity for Harmonic Measure
Authors: Azemar Aitor , Gadre Vaibhav , Jeffreys Luke 
Published: October 2020

Abstract
We consider harmonic measures that arise from random walks on the mapping class group determined by probability distributions that have finite first moments with respect to the Teichmüller metric and whose supports generate nonelementary subgroups. We prove that Teichmüller space with the Teichmüller metric is statistically hyperbolic for such a harmonic measure.
Association Between Cytomegalovirus and Epstein-Barr Virus Viremia And Human Immunodeficiency Virus DNA Levels in the Reservoir of Kenyan Infants Receiving Antiretroviral Therapy
Authors: Slyker Jennifer A , Guthrie Brandon , Pankau Mark , Tapia Kenneth , Wamalwa Dalton , Benki-Nugent Sarah , Ngugi Evelyn , Huang Meei-Li , Njuguna Irene , Langat Agnes , John-Stewart Grace , Lehman Dara 
Published: October 2020

Abstract
Identifying determinants of human immunodeficiency virus (HIV) reservoir levels may inform novel viral eradication strategies. Cytomegalovirus (CMV) and Epstein-Barr virus (EBV) coinfections were assessed as predictors of HIV proviral DNA level in 26 HIV RNA–suppressed Kenyan children starting antiretroviral therapy before 7 months of age. Earlier acquisition of CMV and EBV and higher cumulative burden of systemic EBV DNA viremia were each associated with higher HIV DNA level in the reservoir after 24 months of antiretroviral therapy, independent of HIV RNA levels over time. These data suggest that delaying or containing CMV and EBV viremia may be novel strategies to limit HIV reservoir formation.
An Italian, multicenter, real-world, retrospective study of first-line pazopanib in unselected metastatic renal-cell carcinoma patients: the ‘Pamerit’ study
Authors: Mosca Alessandra , De Giorgi Ugo , Procopio Giuseppe , Basso Umberto , Cartenì Giacomo , Bersanelli Melissa , Naglieri Emanuele , Galli Luca , Caffo Orazio , Fornarini Giuseppe , Boccardo Francesco , Porta Camillo 
Published: October 2020

Abstract

Objective
Despite the current immunotherapy era, VEGFR inhibitors maintain effectiveness in metastatic renal cell cancer. Real-world data concerning pazopanib are limited. The aim of this study is to add information about efficacy and safety of pazopanib as first-line treatment in metastatic renal cell cancer patients not enrolled into clinical trials.

Methods
Retrospective analysis (the PAMERIT study) of first-line pazopanib in real-world metastatic renal cell cancer patients among 39 Centers in Italy. Outcomes were progression-free survival, overall survival, objective response rate and treatment-related adverse events. Kaplan–Meier curves, log-rank test and multivariable Cox’s models were used and adjusted for age, histology, previous renal surgery, International Metastatic RCC Database Consortium score and pazopanib initial dose.

Results
Among 474 patients, 87.3% had clear cell metastatic renal cell cancer histology. Most of them (84.6%) had upfront renal surgery. Median progression-free survival and overall survival were 15.8 and 34.4 months, respectively, significantly correlating with International Metastatic RCC Database Consortium’s good prognosis (P &lt; 0.001), ECOG PS 0 (P &lt; 0.001), age (&lt;75 years, P = 0.005), surgery (P &lt; 0.001) and response to pazopanib (P &lt; 0.001). After 3 months of pazopanib, overall disease control rate have been observed in 76.6% patients. Among International Metastatic RCC Database Consortium’s favorable group patients, 57/121 (47%) showed complete/partial response. No unexpected AEs emerged.

Conclusions
In this real-world study, metastatic renal cell cancer patients treated with first-line pazopanib reached greater progression-free survival and overall survival than in pivotal studies and had high response rates when belonging to International Metastatic RCC Database Consortium’s favorable group, without new toxicities. Pazopanib has been confirmed a valid first-line option for International Metastatic RCC Database Consortium’s good prognosis metastatic renal cell cancer patients who cannot be submitted to immunotherapy.
Targeted expression of the arsenate reductase HAC1 identifies cell type specificity of arsenic metabolism and transport in plant roots
Authors: Fischer Sina , Sánchez-Bermejo Eduardo , Xu Xuejie , Flis Paulina , Ramakrishna Priya , Guerinot Mary Lou , Zhao Fang-Jie , Salt David E 
Published: October 2020

AbstractHigh Arsenic Concentration 1 (HAC1), an Arabidopsis thaliana arsenate reductase, plays a key role in arsenate [As(V)] tolerance. Through conversion of As(V) to arsenite [As(III)], HAC1 enables As(III) export from roots, and restricts translocation of As(V) to shoots. To probe the ability of different root tissues to detoxify As(III) produced by HAC1, we generated A. thaliana lines expressing HAC1 in different cell types. We investigated the As(V) tolerance phenotypes: root growth, As(III) efflux, As translocation, and As chemical speciation. We showed that HAC1 can function in the outer tissues of the root (epidermis, cortex, and endodermis) to confer As(V) tolerance, As(III) efflux, and limit As accumulation in shoots. HAC1 is less effective in the stele at conferring As(V) tolerance phenotypes. The exception is HAC1 activity in the protoxylem, which we found to be sufficient to restrict As translocation, but not to confer As(V) tolerance. In conclusion, we describe cell type-specific functions of HAC1 that spatially separate the control of As(V) tolerance and As translocation. Further, we identify a key function of protoxylem cells in As(V) translocation, consistent with the model where endodermal passage cells, above protoxylem pericycle cells, form a ‘funnel’ loading nutrients and potentially toxic elements into the vasculature.