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Natasha R Catlin, Ron Herbert, Kyathanahalli Janardhan, Milton R Hejtmancik, Laurene M Fomboy, Molly Vallant, Grace E Kissling, Michael J DeVito
Virginia cedarwood oil is widely used as a fragrance material in household and personal products and as a naturally derived pesticide alternative. Due to conflicting literature on dermal exposures in animals and humans, concern for safe levels of human exposure remains. The present study evaluated the toxicity of cedarwood oil applied dermally to F344/N rats and B6C3F1/N mice for 13 weeks. Groups of 10 male and female rats and mice received no treatment (untreated control) or were administered cedarwood oil in 95% aqueous ethanol dermally at concentrations ranging from 0% (vehicle control), 6...
October 18, 2016: Food and Chemical Toxicology
W Y Licuanan, R Robles, M Dygico, A Songco, R van Woesik
There is an urgent need to quantify coral reef benchmarks that assess changes and recovery rates through time and serve as goals for management. Yet, few studies have identified benchmarks for hard coral cover and diversity in the center of marine diversity. In this study, we estimated coral cover and generic diversity benchmarks on the Tubbataha reefs, the largest and best-enforced no-take marine protected area in the Philippines. The shallow (2-6m) reef slopes of Tubbataha were monitored annually, from 2012 to 2015, using hierarchical sampling...
October 18, 2016: Marine Pollution Bulletin
Lukasz P Kozlowski
BACKGROUND: Accurate estimation of the isoelectric point (pI) based on the amino acid sequence is useful for many analytical biochemistry and proteomics techniques such as 2-D polyacrylamide gel electrophoresis, or capillary isoelectric focusing used in combination with high-throughput mass spectrometry. Additionally, pI estimation can be helpful during protein crystallization trials. RESULTS: Here, I present the Isoelectric Point Calculator (IPC), a web service and a standalone program for the accurate estimation of protein and peptide pI using different sets of dissociation constant (pKa) values, including two new computationally optimized pKa sets...
October 21, 2016: Biology Direct
Angela L Perez, Monty Liong, Kevin Plotkin, Keith P Rickabaugh, Dennis J Paustenbach
This study provides an exposure and risk assessment of diundecyl phthalate (DUP), a high molecular weight phthalate plasticizer present in automobile interiors. Total daily intake of DUP was calculated from DUP measured in wipe samples from vehicle seats from six automobiles. Four of the vehicles exhibited atypical visible surface residue on the seats. Two vehicles with no visible surface residue were sampled as a comparison. DUP was the predominant organic compound identified in each of the wipes from all seats...
October 18, 2016: Chemosphere
Ilona Willempje Maria Verburg, Alireza Atashi, Saeid Eslami, Rebecca Holman, Ameen Abu-Hanna, Everest de Jonge, Niels Peek, Nicolette Fransisca de Keizer
OBJECTIVE: We systematically reviewed models to predict adult ICU length of stay. DATA SOURCES: We searched the Ovid EMBASE and MEDLINE databases for studies on the development or validation of ICU length of stay prediction models. STUDY SELECTION: We identified 11 studies describing the development of 31 prediction models and three describing external validation of one of these models. DATA EXTRACTION: Clinicians use ICU length of stay predictions for planning ICU capacity, identifying unexpectedly long ICU length of stay, and benchmarking ICUs...
October 20, 2016: Critical Care Medicine
Stacy Loeb, Yasin Folkvaljon, Caitlin Curnyn, David Robinson, Ola Bratt, Pär Stattin
Importance: Active surveillance is an important option to reduce prostate cancer overtreatment, but it remains underutilized in many countries. Models from the United States show that greater use of active surveillance is important for prostate cancer screening to be cost-effective. Objectives: To perform an up-to-date, nationwide, population-based study on use of active surveillance for localized prostate cancer in Sweden. Design, Setting, and Participants: Cross-sectional study in the National Prostate Cancer Register (NPCR) of Sweden from 2009 through 2014...
October 20, 2016: JAMA Oncology
Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung
In the post-genomic era, the number of unreviewed protein sequences is remarkably larger and grows tremendously faster than that of reviewed ones. However, existing methods for protein subchloroplast localization often ignore the information from these unlabelled proteins. This paper proposes a multi-label predictor based on ensemble linear neighborhood propagation (LNP), namely LNP-Chlo, which leverages hybrid sequence-based feature information from both labelled and unlabelled proteins for predicting localization of both single- and multi-label chloroplast proteins...
October 21, 2016: Journal of Proteome Research
Lei Sun, Sarah S Park, Dennis Sheberla, Mircea Dinca
Electrically conductive metal-organic frameworks (MOFs) are emerging as a subclass of porous materials that can have a transformative effect on electronic and renewable energy devices. Systematic advances in these materials depend critically on the accurate and reproducible characterization of their electrical properties. This is made difficult by the numerous techniques available for electrical measurements and the dependence of metrics on device architecture and numerous external variables. These challenges, common to all types of electronic materials and devices, are especially acute for porous materials, whose high surface area make them even more susceptible to interactions with contaminants in the environment...
October 21, 2016: Journal of the American Chemical Society
Michael P Thompson, Cameron M Kaplan, Yu Cao, Gloria J Bazzoli, Teresa M Waters
OBJECTIVE: To assess the reliability of risk-standardized readmission rates (RSRRs) for medical conditions and surgical procedures used in the Hospital Readmission Reduction Program (HRRP). DATA SOURCES: State Inpatient Databases for six states from 2011 to 2013 were used to identify patient cohorts for the six conditions used in the HRRP, which was augmented with hospital characteristic and HRRP penalty data. STUDY DESIGN: Hierarchical logistic regression models estimated hospital-level RSRRs for each condition, the reliability of each RSRR, and the extent to which socioeconomic and hospital factors further explain RSRR variation...
October 21, 2016: Health Services Research
Antonio Miguel Cruz, Mayra R Guarín
To date, there are no broadly accepted or accurate models to determine appropriate staffing [levels] for clinical engineering departments (CEDs). The purpose of this study is to determine what the determinants of the staffing levels are (total number of full time equivalents (FTEs)) in CEDs in healthcare organisations. In doing so, we used a cross-sectional exploratory approach by using a multivariate regression model over a secondary source of data information from the AAMI Benchmarking Solutions-Healthcare Technology Management database...
October 21, 2016: Journal of Medical Engineering & Technology
B Staber, J Guilleminot
In this work, we address the constitutive modeling, in a probabilistic framework, of the hyperelastic response of soft biological tissues. The aim is on the one hand to mimic the mean behavior and variability that are typically encountered in the experimental characterization of such materials, and on the other hand to derive mathematical models that are almost surely consistent with the theory of nonlinear elasticity. Towards this goal, we invoke information theory and discuss a stochastic model relying on a low-dimensional parametrization...
September 22, 2016: Journal of the Mechanical Behavior of Biomedical Materials
Fayyaz Ul Amir Afsar Minhas, Amina Asif, Muhammad Arif
: Feature selection and ranking is of great importance in the analysis of biomedical data. In addition to reducing the number of features used in classification or other machine learning tasks, it allows us to extract meaningful biological and medical information from a machine learning model. Most existing approaches in this domain do not directly model the fact that the relative importance of features can be different in different regions of the feature space. In this work, we present a context aware feature ranking algorithm called CAFÉ-Map...
October 11, 2016: Computers in Biology and Medicine
Arif Ul Maula Khan, Ralf Mikut, Markus Reischl
The parametrization of automatic image processing routines is time-consuming if a lot of image processing parameters are involved. An expert can tune parameters sequentially to get desired results. This may not be productive for applications with difficult image analysis tasks, e.g. when high noise and shading levels in an image are present or images vary in their characteristics due to different acquisition conditions. Parameters are required to be tuned simultaneously. We propose a framework to improve standard image segmentation methods by using feedback-based automatic parameter adaptation...
2016: PloS One
Sebastian Sippel, Holger Lange, Miguel D Mahecha, Michael Hauhs, Paul Bodesheim, Thomas Kaminski, Fabian Gans, Osvaldo A Rosso
Data analysis and model-data comparisons in the environmental sciences require diagnostic measures that quantify time series dynamics and structure, and are robust to noise in observational data. This paper investigates the temporal dynamics of environmental time series using measures quantifying their information content and complexity. The measures are used to classify natural processes on one hand, and to compare models with observations on the other. The present analysis focuses on the global carbon cycle as an area of research in which model-data integration and comparisons are key to improving our understanding of natural phenomena...
2016: PloS One
A H Mattsson, J V Kringelum, C Garde, M Nielsen
Pan-specific prediction of receptor-ligand interaction is conventionally done using machine-learning methods that integrates information about both receptor and ligand primary sequences. To achieve optimal performance using machine learning, dealing with overfitting and data redundancy is critical. Most often so-called ligand clustering methods have been used to deal with these issues in the context of pan-specific receptor-ligand predictions, and the MHC system the approach has proven highly effective for extrapolating information from a limited set of receptors with well characterized binding motifs, to others with no or very limited experimental characterization...
October 20, 2016: HLA
Guilhem Sommeria-Klein, Lucie Zinger, Pierre Taberlet, Eric Coissac, Jérôme Chave
The DNA present in the environment is a unique and increasingly exploited source of information for conducting fast and standardized biodiversity assessments for any type of organisms. The datasets resulting from these surveys are however rarely compared to the quantitative predictions of biodiversity models. In this study, we simulate neutral taxa-abundance datasets, and artificially noise them by simulating noise terms typical of DNA-based biodiversity surveys. The resulting noised taxa abundances are used to assess whether the two parameters of Hubbell's neutral theory of biodiversity can still be estimated...
October 20, 2016: Scientific Reports
Elias Abou Zeid, Alborz Rezazadeh Sereshkeh, Tom Chau
OBJECTIVE: In recent years, the readiness potential (RP), a type of pre-movement neural activity, has been investigated for asynchronous electroencephalogram (EEG)-based brain-computer interfaces (BCIs). Since the RP is attenuated for involuntary movements, a BCI driven by RP alone could facilitate intentional control amid a plethora of unintentional movements. Previous studies have attempted single trial classification of RP via spatial and temporal filtering methods, or by combining the RP with event-related desynchronization...
October 20, 2016: Journal of Neural Engineering
Sytske Anne Bergstra, Pedro M M C Machado, Rosaline van den Berg, Robert B M Landewé, Tom W J Huizinga
OBJECTIVES: Ten years ago, the METEOR tool was developed to simulate treatment-to-target and create an international research database. The development of the METEOR tool and database, research opportunities and future perspectives are described. METHODS: The METEOR tool is a free, online, internationally available tool in which daily practice visits of all rheumatoid arthritis patients visiting a rheumatologist can be registered. In the tool, disease characteristics, patient- and physician-reported outcomes and prescribed treatment could be entered...
September 2016: Clinical and Experimental Rheumatology
Aaron J Krych, Patrick J Reardon, Nick R Johnson, Rohith Mohan, Logan Peter, Bruce A Levy, Michael J Stuart
PURPOSE: Medial meniscus posterior root tears (MMPRTs) are a significant source of pain and dysfunction, but little is known about the natural history and outcome and for non-operative management of these lesions. The purpose of this study was to evaluate (1) the mid-term clinical and radiographic outcomes of non-operative treatment of MMPRTs and (2) risk factors for worse outcomes. METHODS: A retrospective review was performed for patients with symptomatic, unrepaired MMPRTs and a minimum 2-year follow-up for IKDC and Tegner outcome scores...
October 19, 2016: Knee Surgery, Sports Traumatology, Arthroscopy: Official Journal of the ESSKA
Ricardo Sevilla-Escoboza, Javier M Buldú
We provide the topological structure of a series of N=28 Rössler chaotic oscillators diffusively coupled through one of its variables. The dynamics of the y variable describing the evolution of the individual nodes of the network are given for a wide range of coupling strengths. Datasets capture the transition from the unsynchronized behavior to the synchronized one, as a function of the coupling strength between oscillators. The fact that both the underlying topology of the system and the dynamics of the nodes are given together makes this dataset a suitable candidate to evaluate the interplay between functional and structural networks and serve as a benchmark to quantify the ability of a given algorithm to extract the structural network of connections from the observation of the dynamics of the nodes...
June 2016: Data in Brief
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