bluuebunny/crossref_metadata_2025_split huggingface dataset:
Behavioral and Neural Responses to Vitamin C Solution in Vitamin C-deficient Osteogenic Disorder Shionogi/Shi Jcl-od/od Rats
Authors: Yasuo Toshiaki , Suwabe Takeshi , Sako Noritaka 
Published: May 2019

Abstract
To investigate the appetite for vitamin C (VC), we conducted behavioral and neural experiments using osteogenic disorder Shionogi/Shi Jcl-od/od (od/od) rats, which lack the ability to synthesize VC, and their wild-type controls osteogenic disorder Shionogi/Shi Jcl- +/+ (+/+) rats. In the behavioral study, rats were deprived of VC for 25 days and then received two-bottle preference tests with a choice between water and 10 mM VC. The preference for 10 mM VC solution of od/od rats was significantly greater than that of +/+ rats. In the neural study, the relative magnitudes of the whole chorda tympani nerve (CTN) responses to 100–1000 mM VC, 3–10 mM HCl, 100–1000 mM NaCl, and 20 mM quinine▪HCl in the VC-deficient rats were significantly smaller than those in the nondeficient ones. Further, we conducted additional behavioral experiments to investigate the appetite for sour and salty taste solutions of VC-deficient od/od rats. Preference scores for 3 mM citric acid increased in od/od rats after VC removal, compared with before, whereas preference scores for 100 and 150 mM NaCl were decreased in VC-deficient od/od rats. The preference for 300 mM NaCl was not changed. Hence, our results suggest that the reduction of the aversive taste of VC during VC deficiency may have involved the reduction of CTN responses to acids. Overall, our results indicate that VC-deficient rats ingest sufficient VC to relieve their deficiency and that VC deficiency causes changes in peripheral sensitivity to acids, but nongustatory factors may also affect VC intake and choice.
Domestic River Water Use and Risk of Typhoid Fever: Results From a Case-control Study in Blantyre, Malawi
Authors: Gauld Jillian S , Olgemoeller Franziska , Nkhata Rose , Li Chao , Chirambo Angeziwa , Morse Tracy , Gordon Melita A , Read Jonathan M , Heyderman Robert S , Kennedy Neil , Diggle Peter J , Feasey Nicholas A 
Published: May 2019

Abstract

Background
Typhoid fever remains a major cause of morbidity and mortality in low- and middle-income settings. In the last 10 years, several reports have described the reemergence of typhoid fever in southern and eastern Africa, associated with multidrug-resistant H58 Salmonella Typhi. Here, we identify risk factors for pediatric typhoid fever in a large epidemic in Blantyre, Malawi.

Methods
A case-control study was conducted between April 2015 and November 2016. Cases were recruited at a large teaching hospital, and controls were recruited from the community, matched by residential ward. Stepwise variable selection and likelihood ratio testing were used to select candidate risk factors for a final logistic regression model.

Results
Use of river water for cooking and cleaning was highly associated with risk of typhoid fever (odds ratio [OR], 4.6 [95% confidence interval {CI}, 1.7–12.5]). Additional risk factors included protective effects of soap in the household (OR, 0.6 [95% CI, .4–.98]) and &gt;1 water source used in the previous 3 weeks (OR, 3.2 [95% CI, 1.6–6.2]). Attendance at school or other daycare was also identified as a risk factor (OR, 2.7 [95% CI, 1.4–5.3]) and was associated with the highest attributable risk (51.3%).

Conclusions
These results highlight diverse risk factors for typhoid fever in Malawi, with implications for control in addition to the provision of safe drinking water. There is an urgent need to improve our understanding of transmission pathways of typhoid fever, both to develop tools for detecting S. Typhi in the environment and to inform water, sanitation, and hygiene interventions.
Prognostic Accuracy of Soluble Triggering Receptor Expressed on Myeloid Cells (sTREM-1)-based Algorithms in Febrile Adults Presenting to Tanzanian Outpatient Clinics
Authors: Richard-Greenblatt Melissa , Boillat-Blanco Noémie , Zhong Kathleen , Mbarack Zainab , Samaka Josephine , Mlaganile Tarsis , Kazimoto Thekla , D’acremont Valerie , Kain Kevin C 
Published: May 2019

Abstract

Background
The inability to identify individuals with acute fever at risk of death is a barrier to effective triage and management of severe infections, especially in low-resource settings. Since endothelial and immune activation contribute to the pathogenesis of various distinct life-threatening infections, we hypothesized that measuring mediators of these pathways at clinical presentation would identify febrile adults at risk of death.

Methods
Plasma concentrations of markers of endothelial (angiopoetin-1/2, soluble fms-like tyrosine kinase-1, soluble vascular cell adhesion molecule-1, soluble intercellular adhesion molecule-1) and immune (soluble triggering receptor expressed on myeloid cells [sTREM-1], interleukin-6, interleukin-8, chitinase-3-like protein-1, soluble tumor necrosis factor receptor-1, procalcitonin [PCT], C-reactive protein [CRP]) activation pathways were determined in consecutive adults with acute fever (≥38°C) at presentation to outpatient clinics in Dar es Salaam, Tanzania. We evaluated the accuracy of these mediators in predicting all-cause mortality and examined whether markers could improve the prognostic accuracy of clinical scoring systems, including the quick sequential organ failure assessment (qSOFA) and Glasgow coma scale (GCS).

Results
Of 507 febrile adults, 32 died (6.3%) within 28 days of presentation. We found that sTREM-1 was the best prognostic marker for 28-day mortality (area under the receiver operating characteristic [AUROC] 0.87, 95% confidence interval [CI] 0.81–0.92) and was significantly better than CRP (P &lt; .0001) and PCT (P = .0001). The prognostic accuracy of qSOFA and the GCS were significantly enhanced when sTREM-1 was added (0.80 [95% CI 0.76–0.83] to 0.91 [95% CI 0.88–0.94; P &lt; .05] and 0.72 [95% CI 0.63–0.80] to 0.94 [95% CI 0.91–0.97; P &lt; .05], respectively).

Conclusions
Measuring sTREM-1 at clinical presentation can identify febrile individuals at risk of all-cause febrile mortality. Adding severity markers such as sTREM-1 to simple clinical scores could improve the recognition and triage of patients with life-threatening infections in resource-limited settings.
Video Hashing with DCT and NMF
Authors: Tang Zhenjun , Chen Lv , Yao Heng , Zhang Xianquan , Yu Chunqiang 
Published: May 2019

Abstract
Video hashing is a novel technique of multimedia processing and finds applications in video retrieval, video copy detection, anti-piracy search and video authentication. In this paper, we propose a robust video hashing based on discrete cosine transform (DCT) and non-negative matrix decomposition (NMF). The proposed video hashing extracts secure features from a normalized video via random partition and dominant DCT coefficients, and exploits NMF to learn a compact representation from the secure features. Experiments with 2050 videos are carried out to validate efficiency of the proposed video hashing. The results show that the proposed video hashing is robust to many digital operations and reaches good discrimination. Receiver operating characteristic (ROC) curve comparisons illustrate that the proposed video hashing outperforms some state-of-the-art algorithms in classification between robustness and discrimination.
Bonus or Burden? Care Work, Inequality, and Job Satisfaction in Eighteen European Countries
Authors: Lightman Naomi , Kevins Anthony 
Published: May 2019

AbstractWhile existing research highlights the feminized and devalued nature of care work, the relationship between care work and job satisfaction has not yet been tested cross-nationally. England (2005) outlines two theoretical frameworks that guide our thinking about this potential relationship: the Prisoner of Love framework suggests that, notwithstanding the explicit and implicit costs of care work, the intrinsic benefits of caring provide ‘psychic income’ and lead to greater job satisfaction; while the Commodification of Emotion framework suggests, instead, that care work generates additional stress and/or alienation for the worker, thereby resulting in lower job satisfaction. This article empirically tests this relationship in 18 countries using European Social Survey data and incorporating national-level factors. The results provide support for the Prisoner of Love framework, with variation based on the degree of professionalization. Although we find broad evidence of a care work-job satisfaction bonus, non-professional care workers experience a substantively larger bonus than their paraprofessional and professional counterparts. However, national-level economic inequality is also found to play a role in this relationship, with higher inequality amplifying the care work bonus at all levels of professionalization.
Structural change and relative demand for skilled workers: new evidence from the US manufacturing
Authors: Chongvilaivan Aekapol , Hur Jung 
Published: May 2019

Abstract
The present paper empirically investigates the effects of structural change—change in labor productivity fueled by labor reallocation across industries—on relative demand for skilled workers, using the NBER-CES Manufacturing Industry Database for the period of 1958–2011. The measures unveil that the US manufacturing sectors had experienced dramatic structural change since the 1990s when labor was reallocated from high-productivity to low-productivity industries. Furthermore, we find the evidence that the growth-reducing structural change impinges positively on relative demand for skilled workers and is therefore another driving force of rising wage inequality, apart from high-tech capital investment and outsourcing activities, in the US manufacturing sectors.
Boundary Operators Associated With the Sixth-Order GJMS Operator
Authors: Case Jeffrey S , Luo Weiyu 
Published: May 2019

AbstractWe describe a set of conformally covariant boundary operators associated with the 6th-order Graham--Jenne--Mason--Sparling (GJMS) operator on a conformally invariant class of manifolds that includes compactifications of Poincaré–Einstein manifolds. This yields a conformally covariant energy functional for the 6th-order GJMS operator on such manifolds. Our boundary operators also provide a new realization of the fractional GJMS operators of order one, three, and five as generalized Dirichlet-to-Neumann operators. This allows us to prove some sharp Sobolev trace inequalities involving the interior $W^{3,2}$-seminorm, including an analogue of the Lebedev–Milin inequality on six-dimensional manifolds.
How to Address the Risk of HIV Transmission in Remission Studies With Treatment Interruption: The Low-Hanging Fruit Approach
Authors: Eyal Nir 
Published: May 2019

AbstractSome HIV remission studies include a treatment interruption that seriously risks infecting participants’ sex partners with HIV. What, ethically, is owed to these nonparticipants? Until greater certainty emerges on what protections should be afforded nonparticipants of research studies, what I call a “low-hanging fruit” approach may help researchers and review bodies determine how to address infection risks to nonparticipants in these studies.
A regression framework to uncover pleiotropy in large-scale electronic health record data
Authors: Li Ruowang , Duan Rui , Kember Rachel L , Rader Daniel J , Damrauer Scott M , Moore Jason H , Chen Yong 
Published: May 2019

Abstract

Objective
Pleiotropy, where 1 genetic locus affects multiple phenotypes, can offer significant insights in understanding the complex genotype–phenotype relationship. Although individual genotype–phenotype associations have been thoroughly explored, seemingly unrelated phenotypes can be connected genetically through common pleiotropic loci or genes. However, current analyses of pleiotropy have been challenged by both methodologic limitations and a lack of available suitable data sources.

Materials and Methods
In this study, we propose to utilize a new regression framework, reduced rank regression, to simultaneously analyze multiple phenotypes and genotypes to detect pleiotropic effects. We used a large-scale biobank linked electronic health record data from the Penn Medicine BioBank to select 5 cardiovascular diseases (hypertension, cardiac dysrhythmias, ischemic heart disease, congestive heart failure, and heart valve disorders) and 5 mental disorders (mood disorders; anxiety, phobic and dissociative disorders; alcohol-related disorders; neurological disorders; and delirium dementia) to validate our framework.

Results
Compared with existing methods, reduced rank regression showed a higher power to distinguish known associated single-nucleotide polymorphisms from random single-nucleotide polymorphisms. In addition, genome-wide gene-based investigation of pleiotropy showed that reduced rank regression was able to identify candidate genetic variants with novel pleiotropic effects compared to existing methods.

Conclusion
The proposed regression framework offers a new approach to account for the phenotype and genotype correlations when identifying pleiotropic effects. By jointly modeling multiple phenotypes and genotypes together, the method has the potential to distinguish confounding from causal genotype and phenotype associations.
A primer on quantitative bias analysis with positive predictive values in research using electronic health data
Authors: Newcomer Sophia R , Xu Stan , Kulldorff Martin , Daley Matthew F , Fireman Bruce , Glanz Jason M 
Published: May 2019

Abstract

Objective
In health informatics, there have been concerns with reuse of electronic health data for research, including potential bias from incorrect or incomplete outcome ascertainment. In this tutorial, we provide a concise review of predictive value–based quantitative bias analysis (QBA), which comprises epidemiologic methods that use estimates of data quality accuracy to quantify the bias caused by outcome misclassification.

Target Audience
Health informaticians and investigators reusing large, electronic health data sources for research.

Scope
When electronic health data are reused for research, validation of outcome case definitions is recommended, and positive predictive values (PPVs) are the most commonly reported measure. Typically, case definitions with high PPVs are considered to be appropriate for use in research. However, in some studies, even small amounts of misclassification can cause bias. In this tutorial, we introduce methods for quantifying this bias that use predictive values as inputs. Using epidemiologic principles and examples, we first describe how multiple factors influence misclassification bias, including outcome misclassification levels, outcome prevalence, and whether outcome misclassification levels are the same or different by exposure. We then review 2 predictive value–based QBA methods and why outcome PPVs should be stratified by exposure for bias assessment. Using simulations, we apply and evaluate the methods in hypothetical electronic health record–based immunization schedule safety studies. By providing an overview of predictive value–based QBA, we hope to bridge the disciplines of health informatics and epidemiology to inform how the impact of data quality issues can be quantified in research using electronic health data sources.
The studiolo of Rudolf II at Prague Castle
Authors: Fornasiero Alice , Zlatohlávková Eliška 
Published: May 2019

Abstract
The collection of Rudolf II (1552–1612), housed in various spaces at Prague Castle, has attracted attention from the time of its foundation to the present day. Most research effort in the past few decades has been focused on the set of chambers designated the Kunstkammer, and has given little consideration to the existence of a further private space, often cited in the archival sources or inventories. Since the time of Rudolf’s arrival at Prague Castle, there existed a room named in the records as the Schreibstüblein or Schreibstuben, which is to be regarded as the studiolo of the emperor – an intimate retreat and the repository for a number of select pieces from Rudolf’s vast collections. The inventories of Prague Castle and the correspondence of foreign envoys confirm the presence of this space and help to define its position and function.
A Mixed Frequency Stochastic Volatility Model for Intraday Stock Market Returns
Authors: Bekierman Jeremias , Gribisch Bastian 
Published: May 2019

Abstract
We propose a mixed frequency stochastic volatility model for intraday returns. To account for long-memory type of dependence patterns we introduce a long-run component that changes daily and a short-run component that captures the remaining intraday volatility dynamics. We analyze the model’s stochastic properties and extend it to capture leverage effects and overnight return information. The model is estimated by simulated maximum likelihood using efficient importance sampling. We apply the model to 30-min returns of 12 stocks. The results show that the model successfully accounts for the complex dynamic and distributional properties of asset returns both on the intraday and the daily frequency.
Proton-irradiated breast cells: molecular points of view
Authors: Bravatà Valentina , Cammarata Francesco P , Minafra Luigi , Pisciotta Pietro , Scazzone Concetta , Manti Lorenzo , Savoca Gaetano , Petringa Giada , Cirrone Giuseppe A P , Cuttone Giacomo , Gilardi Maria C , Forte Giusi I , Russo Giorgio 
Published: May 2019

AbstractBreast cancer (BC) is the most common cancer in women, highly heterogeneous at both the clinical and molecular level. Radiation therapy (RT) represents an efficient modality to treat localized tumor in BC care, although the choice of a unique treatment plan for all BC patients, including RT, may not be the best option. Technological advances in RT are evolving with the use of charged particle beams (i.e. protons) which, due to a more localized delivery of the radiation dose, reduce the dose administered to the heart compared with conventional RT. However, few data regarding proton-induced molecular changes are currently available. The aim of this study was to investigate and describe the production of immunological molecules and gene expression profiles induced by proton irradiation. We performed Luminex assay and cDNA microarray analyses to study the biological processes activated following irradiation with proton beams, both in the non-tumorigenic MCF10A cell line and in two tumorigenic BC cell lines, MCF7 and MDA-MB-231. The immunological signatures were dose dependent in MCF10A and MCF7 cell lines, whereas MDA-MB-231 cells show a strong pro-inflammatory profile regardless of the dose delivered. Clonogenic assay revealed different surviving fractions according to the breast cell lines analyzed. We found the involvement of genes related to cell response to proton irradiation and reported specific cell line- and dose-dependent gene signatures, able to drive cell fate after radiation exposure. Our data could represent a useful tool to better understand the molecular mechanisms elicited by proton irradiation and to predict treatment outcome
Phi thickenings in roots: novel secondary wall structures responsive to biotic and abiotic stresses
Authors: Aleamotu‘a Maketalena , McCurdy David W , Collings David A 
Published: May 2019

Abstract
Phi thickenings are specialized secondary walls found in root cortical cells. Despite their widespread occurrence throughout the plant kingdom, these specialized thickenings remain poorly understood. First identified by Van Tieghem in 1871, phi thickenings are a lignified and thickened cell wall band that is deposited inside the primary wall, as a ring around the cells’ radial walls. Phi thickenings can, however, display structural variations including a fine, reticulate network of wall thickenings extending laterally from the central lignified band. While phi thickenings have been proposed to mechanically strengthen roots, act as a permeability barrier to modulate solute movement, and regulate fungal interactions, these possibilities remain to be experimentally confirmed. Furthermore, since temporal and spatial development of phi thickenings varies widely between species, thickenings may perform diverse roles in different species. Phi thickenings can be induced by abiotic stresses in different species; they can, for example, be induced by heavy metals in the Zn/Cd hyperaccumulator Thlaspi caerulescens, and in a cultivar-specific manner by water stress in Brassica. This latter observation provides an experimental platform to probe phi thickening function, and to identify genetic pathways responsible for their formation. These pathways might be expected to differ from those involved in secondary wall formation in xylem, since phi thickening deposition in not linked to programmed cell death.
The multitasking abilities of MATE transporters in plants
Authors: Upadhyay Neha , Kar Debojyoti , Deepak Mahajan Bhagyashri , Nanda Sanchali , Rahiman Rini , Panchakshari Nimisha , Bhagavatula Lavanya , Datta Sourav 
Published: May 2019

Abstract
As sessile organisms, plants constantly monitor environmental cues and respond appropriately to modulate their growth and development. Membrane transporters act as gatekeepers of the cell regulating both the inflow of useful materials as well as exudation of harmful substances. Members of the multidrug and toxic compound extrusion (MATE) family of transporters are ubiquitously present in almost all forms of life including prokaryotes and eukaryotes. In bacteria, MATE proteins were originally characterized as efflux transporters conferring drug resistance. There are 58 MATE transporters in Arabidopsis thaliana, which are also known as DETOXIFICATION (DTX) proteins. In plants, these integral membrane proteins are involved in a diverse array of functions, encompassing secondary metabolite transport, xenobiotic detoxification, aluminium tolerance, and disease resistance. MATE proteins also regulate overall plant development by controlling phytohormone transport, tip growth processes, and senescence. While most of the functional characterizations of MATE proteins have been reported in Arabidopsis, recent reports suggest that their diverse roles extend to numerous other plant species. The wide array of functions exhibited by MATE proteins highlight their multitasking ability. In this review, we integrate information related to structure and functions of MATE transporters in plants. Since these transporters are central to mechanisms that allow plants to adapt to abiotic and biotic stresses, their study can potentially contribute to improving stress tolerance under changing climatic conditions.