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Kim Seonjin S Department of Statistics, Miami University, 311 Upham Hall, Oxford, OH - - 2015
This paper is concerned with the inference of nonparametric mean function in a time series context. The commonly used kernel smoothing estimate is asymptotically normal and the traditional inference procedure then consistently estimates the asymptotic variance function and relies upon normal approximation. Consistent estimation of the asymptotic variance function involves ...
Heckman James J Department of Economics, University of Chicago, 1126 E. 59th Street, Chicago, IL 60637, - - 2015
This paper presents an econometric mediation analysis. It considers identification of production functions and the sources of output effects (treatment effects) from experimental interventions when some inputs are mismeasured and others are entirely omitted. JEL Code: D24, C21, C43, C38.
Malave Peter P Harvard Medical School, Boston, MA, USA ; Massachusetts General Hospital, Boston, MA, - - 2015
Kinetic models are used extensively in science, engineering, and medicine. Mathematically, they are a set of coupled differential equations including a source function, otherwise known as an input function. We investigate whether parametric modeling of a noisy input function offers any benefit over the non-parametric input function in estimating kinetic ...
García-Gómez Juan Miguel JM Biomedical Informatics group (IBIME), Instituto de las Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain, - - 2015
Most learning algorithms for classification use objective functions based on regularized and/or continuous versions of the 0-1 loss function. Moreover, the performance of the classification models is usually measured by means of the empirical error or misclassification rate. Nevertheless, neither those loss functions nor the empirical error is adequate for ...
Letten Andrew D AD Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, New South Wales 2052, Australia - - 2014
Succession has been a focal point of ecological research for over a century, but thus far has been poorly explored through the lens of modern phylogenetic and trait-based approaches to community assembly. The vast majority of studies conducted to date have comprised static analyses where communities are observed at a ...
Zhu Likai L Department of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL, 32611, USA, - - 2014
Understanding climate controls on spring phenology in grassland ecosystems is critically important in predicting the impacts of future climate change on grassland productivity and carbon storage. The third-generation Global Inventory Monitoring and Modeling System (GIMMS3g) normalized difference vegetation index (NDVI) data were applied to derive the start of the growing ...
Arsène-Ploetze Florence F Génétique moléculaire, Génomique et Microbiologie, Université de Strasbourg, UMR7156 CNRS, Strasbourg, France, - - 2014
Recent advances in microbial ecology allow studying microorganisms in their environment, without laboratory cultivation, in order to get access to the large uncultivable microbial community. With this aim, environmental proteomics has emerged as an appropriate complementary approach to metagenomics providing information on key players that carry out main metabolic functions ...
Broom Mark M Department of Mathematics, City University London, Northampton Square, London, EC1V 0HB, UK, - - 2014
A common feature of animal populations is the stealing by animals of resources such as food from other animals. This has previously been the subject of a range of modelling approaches, one of which is the so called "producer-scrounger" model. In this model a producer finds a resource that takes ...
Juliano Thomas Robert - - 2014
Solid-state density functional theory is a powerful computational method used to provide insight into the low-frequency vibrations of crystalline solids. A known limitation of this method is its general underestimation of weak intermolecular forces. Semi-empirical London force corrections have been developed to augment density functional calculations with the premise of ...
Li Hongyi - - 2014
In this paper, the problem of fuzzy control for nonlinear networked control systems with packet dropouts and parameter uncertainties is studied based on the interval type-2 fuzzy-model-based approach. In the control design, the intermittent data loss existing in the closed-loop system is taken into account. The parameter uncertainties can be ...
Chiu Jimmy Ka Ho - - 2014
RNA secondary structures are vital in determining the three-dimensional structures of non-coding RNA molecules, which in turn affect their functions. Computational RNA secondary structure alignment and analysis are biologically significant, because they help identify numerous functionally important motifs. Unfortunately, many analysis methods suffer from computational intractability in the presence of ...
Liu Yang - - 2014
In this brief, we present a novel supervised manifold learning framework dubbed hybrid manifold embedding (HyME). Unlike most of the existing supervised manifold learning algorithms that give linear explicit mapping functions, the HyME aims to provide a more general nonlinear explicit mapping function by performing a two-layer learning procedure. In ...
Kröber W W Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-University Halle-Wittenberg, Halle, - - 2014
We explored potential of morphological and anatomical leaf traits for predicting ecophysiological key functions in subtropical trees. We asked whether the ecophysiological parameters stomatal conductance and xylem cavitation vulnerability could be predicted from microscopy leaf traits. We investigated 21 deciduous and 19 evergreen subtropical tree species, using individuals of the ...
Proshchaev K I KI Gerontology Research Medical Center, Moscow, - - 2014
Biological model of hypoxia can be used for the diagnosis of functional changes in human erythrocytes under the effect of the hypoxic factor. The use of this model together with modern methods of scanning probe microscopy for evaluation of the severity of pulmonological disease in senile patients will help to ...
Laukens Kris K Department of Mathematics and Computer Science, University of Antwerp, Middelheimlaan 1, B- 2020, Antwerp, Belgium; Biomedical Informatics Research Center Antwerp (biomina), University of Antwerp / Antwerp University Hospital, Wilrijkstraat 10, B-2650, Edegem, - - 2014
The main result of a great deal of the published proteomics studies is a list of identified proteins, which then needs to be interpreted in relation to the research question and existing knowledge. In the early days of proteomics this interpretation was only based on expert insights, acquired by digesting ...
Johnson Timothy R TR Department of Statistical Science, University of Idaho, 875 Perimeter Drive MS 1104, Moscow, ID, 83844-1104, USA, - - 2014
This paper introduces the ltbayes package for R. This package includes a suite of functions for investigating the posterior distribution of latent traits of item response models. These include functions for simulating realizations from the posterior distribution, profiling the posterior density or likelihood function, calculation of posterior modes or means, ...
Li Jianing J Division of Biostatistics, Medical College of Wisconsin, Milwaukee, USA, - - 2014
Recently, Fine and Gray (J Am Stat Assoc 94:496-509, 1999) proposed a semi-parametric proportional regression model for the subdistribution hazard function which has been used extensively for analyzing competing risks data. However, failure of model adequacy could lead to severe bias in parameter estimation, and only a limited contribution has ...
Shearer Tom T School of Mathematics, University of Manchester, Manchester M13 9PL, United Kingdom. Electronic address: - - 2014
A new strain energy function for the hyperelastic modelling of ligaments and tendons based on the geometrical arrangement of their fibrils is derived. The distribution of the crimp angles of the fibrils is used to determine the stress-strain response of a single fascicle, and this stress-strain response is used to ...
Weber Gerhard W GW Department of Anthropology, University of Vienna, A-1090 Vienna, Austria; Core Facility for Micro-Computed Tomography, University of Vienna, A-1090 Vienna, - - 2014
Comparative morphology, dealing with the diversity of form and shape, and functional morphology, the study of the relationship between the structure and the function of an organism's parts, are both important subdisciplines in biological research. Virtual anthropology (VA) contributes to comparative morphology by taking advantage of technological innovations, and it ...
Wang Dong - - 2014
In this paper, we propose a novel weighted local cosine similarity (WLCS) and apply it to visual tracking. First, we present the local cosine similarity to measure the similarities between the target template and candidates, and provide some theoretical insights on it. Second, we develop an objective function to model ...
Liu Xianglong - - 2014
Hashing methods are effective in generating compact binary signatures for images and videos. This paper addresses an important open issue in the literature, i.e., how to learn compact hash codes by enhancing the complementarity among different hash functions. Most of prior studies solve this problem either by adopting time-consuming sequential ...
de Vignemont F F Institut Jean Nicod, ENS - EHESS - CNRS, France. Electronic address: - - 2014
Several studies in humans and non-human primates have explored and characterised the functional and physiological features of the representations of the portion of space immediately surrounding the body - the peripersonal space. In this paper we ask the following question: is it legitimate to assume that there is a single ...
Tang An-Min AM Department of Statistics, Yunnan University, Kunming, Yunnan, 650091, - - 2014
We propose a semiparametric multivariate skew-normal joint model for multivariate longitudinal and multivariate survival data. One main feature of the posited model is that we relax the commonly used normality assumption for random effects and within-subject error by using a centered Dirichlet process prior to specify the random effects distribution ...
Ye Jun J Department of Statistics, University of Akron, Akron, OH, United States. Electronic address: - - 2014
When analyzing functional neuroimaging data, it is particularly important to consider the spatial structure of the brain. Some researchers have applied geostatistical methods in the analysis of functional magnetic resonance imaging (fMRI) data to enhance the detection of activated brain regions. In this paper, we propose a nonparametric variogram model ...
Reinhold Klaus K Department of Evolutionary Biology, Bielefeld University, Morgenbreede 45, 33615, Bielefeld, Germany, - - 2014
Animals are faced with many choices and a very important one is the choice of a mating partner. Inter-individual differences in mating preferences have been studied for some time, but most studies focus on the location of the peak preference rather than on other aspects of preference functions. In this ...
Otsuka Yuta Y Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara 630-0101, - - 2014
Comprehensive experimental resources, such as ORFeome clone libraries and deletion mutant collections, are fundamental tools for elucidation of gene function. Data sets by omics analysis using these resources provide key information for functional analysis, modeling and simulation both in individual and systematic approaches. With the long-term goal of complete understanding ...
Singh Anima A Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: - - 2014
Predictive models built using temporal data in electronic health records (EHRs) can potentially play a major role in improving management of chronic diseases. However, these data present a multitude of technical challenges, including irregular sampling of data and varying length of available patient history. In this paper, we describe and ...
Engbers Ralf R Institute for Computational and Applied Mathematics, Westfälische Wilhelms-Universität (WWU) Münster, Einsteinstrasse 62, Münster 48149, Germany - - 2014
The identification of production functions from data is an important task in the modelling of economic growth. In this paper, we consider a non-parametric approach to this identification problem in the context of the spatial Solow model which allows for rather general production functions, in particular convex-concave ones that have ...
Albi G G Department of Mathematics and Computer Science, University of Ferrara, via Machiavelli 35, Ferrara 44121, - - 2014
The study of formations and dynamics of opinions leading to the so-called opinion consensus is one of the most important areas in mathematical modelling of social sciences. Following the Boltzmann-type control approach recently introduced by the first two authors, we consider a group of opinion leaders who modify their strategy ...
Kaliman Ilya A IA Department of Chemistry, Purdue University, West Lafayette, Indiana, - - 2014
A new hybrid MPI/OpenMP parallelization scheme is introduced for the Effective Fragment Potential (EFP) method implemented in the libefp software library. The new implementation employs dynamic load balancing algorithm that uses a master/slave model. The software shows excellent parallel scaling up to several hundreds of CPU-cores across multiple nodes. The ...
Atluri Gowtham G Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, - - 2014
In this manuscript, we present connectivity cluster analysis (CoCA), a novel computational framework that takes advantage of structure of the brain networks to magnify reproducible signals and quash noise. Resting state functional Magnetic Resonance Imaging (fMRI) data that is used in estimating functional brain networks is often noisy, leading to ...
Pang Yanwei - - 2014
The classical Shannon sampling theorem is suitable for reconstructing a band-limited signal from its sampled values taken at regular instances with equal step by using the well-known sinc function. However, due to the inertia of the measurement apparatus, it is impossible to measure the value of a signal precisely at ...
Honnorat N N Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia PA 19104, USA. Electronic address: - - 2014
Resting-state functional MRI is a powerful technique for mapping the functional organization of the human brain. However, for many types of connectivity analysis, high-resolution voxelwise analyses are computationally infeasible and dimensionality reduction is typically used to limit the number of network nodes. Most commonly, network nodes are defined using standard ...
Wright Aidan G C - - 2014
This study was conducted to establish (a) the stability of the DSM-5 Section III personality disorder (PD) traits, (b) whether these traits predict future psychosocial functioning, and (c) whether changes in traits track with changes in psychosocial functioning across time. Ninety-three outpatients (61% female) diagnosed with at least 1 PD ...
Lv Jinglei J School of Automation, Northwestern Polytechnical University, China; Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, United - - 2014
There have been several recent studies that used sparse representation for fMRI signal analysis and activation detection based on the assumption that each voxel's fMRI signal is linearly composed of sparse components. Previous studies have employed sparse coding to model functional networks in various modalities and scales. These prior contributions ...
Alcaide-Aguirre R E RE University of Michigan, 500 S State St., Ann Arbor, MI 48109-2215, USA. Neuroscience Graduate Program, 4137 Undergraduate Science Building, 204 Washtenaw Avenue, Ann Arbor, MI 48109-2215, - - 2014
Assistive technology control interface theory describes interface activation and interface deactivation as distinct properties of any control interface. Separating control of activation and deactivation allows precise timing of the duration of the activation. Objective. We propose a novel P300 brain-computer interface (BCI) functionality with separate control of the initial activation ...
Bläßle Alexander A Systems Biology of Development Group, Friedrich Miescher Laboratory of the Max Planck Society, Spemannstr. 39, 72076 Tübingen, - - 2014
We developed the graphical user interface PyFDAP for the fitting of linear and non-linear decay functions to data obtained by Fluorescence Decay After Photoconversion (FDAP) experiments. PyFDAP structures and analyzes large FDAP data sets and features multiple fitting and plotting options. Availability and Implementation: PyFDAP was written in Python and ...
Proenza Yaicel G YG Departamento de Química Fundamental, CCEN, Universidade Federal de Pernambuco, Cidade Universitária, Recife, PE 50.740-560, Brazil. - - 2014
The energetics of the ECO2, SN2@C and SN2@N channels of X(-) + CH3ONO2 (X = F, OH, CH2CN) gas-phase reactions were computed using the CCSD(T)/CBS method. This benchmark extends a previous study with X = OH [M. A. F. de Souza et al., J. Am. Chem. Soc., 2012, 134, 19004] ...
Goodenberger Katherine E KE Post-Baccalaureate Premedical Program, Washington University in St. Louis, Saint Louis, MO, - - 2014
Primate evolutionary morphologists have argued that selection for life in a fine branch niche resulted in grasping specializations that are reflected in the hallucal metatarsal (Mt1) morphology of extant "prosimians", while a transition to use of relatively larger, horizontal substrates explains the apparent loss of such characters in anthropoids. Accordingly, ...
Cvjetko Bubalo Marina M Laboratory for Cell Technology, Application and Biotransformations, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, HR-10000 Zagreb, - - 2014
Within this work we evaluated the cytotoxicity towards the Channel Catfish Ovary (CCO) cell line of some imidazolium-based ionic liquids containing different functionalized and unsaturated side chains. The toxic effects were measured by the reduction of the WST-1 dye after 72h exposure resulting in dose- and structure-dependent toxicities. The obtained ...
Feng Ruibin - - 2014
The dual neural network (DNN)-based k-winner-take-all ( kWTA) model is an effective approach for finding the k largest inputs from n inputs. Its major assumption is that the threshold logic units (TLUs) can be implemented in a perfect way. However, when differential bipolar pairs are used for implementing TLUs, the ...
Beck L L CEA, DEN, Service de Recherches de Métallurgie Physique, Laboratoire JANNUS, 91191 Gif-sur-Yvette, France; C2RMF - UMR171 CNRS, Centre de Recherche et de Restauration des Musées de France, Palais du Louvre, Porte des Lions, 14 quai François Mitterrand, 75001 Paris, France. Electronic address: - - 2014
Study of prehistoric art is playing a major role in the knowledge of human evolution. Many scientific methods are involved in this investigation including chemical analysis of pigments present on artefacts or applied to cave walls. In the past decades, the characterization of coloured materials was carried on by taking ...
Precup Radu-Emil - - 2014
This paper suggests a new generation of optimal PI controllers for a class of servo systems characterized by saturation and dead zone static nonlinearities and second-order models with an integral component. The objective functions are expressed as the integral of time multiplied by absolute error plus the weighted sum of ...
Cervellera Cristiano - - 2014
Local linear regression models, a kind of nonparametric structures that locally perform a linear estimation of the target function, are analyzed in the context of empirical risk minimization (ERM) for function learning. The analysis is carried out with emphasis on geometric properties of the available data. In particular, the discrepancy ...
Munoz-Gonzalez Luis - - 2014
Standard Gaussian process regression (GPR) assumes constant noise power throughout the input space and stationarity when combined with the squared exponential covariance function. This can be unrealistic and too restrictive for many real-world problems. Nonstationarity can be achieved by specific covariance functions, though prior knowledge about this nonstationarity can be ...
Greco Valentina V Departments of Genetics and Dermatology, Yale Stem Cell Center and Yale Cancer Center, Yale University School of Medicine, New Haven, CT 06510 - - 2014
It is a tremendous honor for my group and me to receive the recognition of the 2014 Women in Cell Biology Junior Award. I would like to take the opportunity of this essay to describe my scientific journey, discuss my philosophy about running a group, and propose what I think ...
Monsef Florian F Département de Recherche en Électromagnétisme, L2S, UMR8506 Univ Paris-Sud, SUPELEC, CNRS 3 rue Joliot Curie-91190 Gif-sur-Yvette, - - 2014
The commonly accepted model for the relative variance of transmission functions in room acoustics, derived by Weaver, aims at including the effects of correlation between eigenfrequencies. This model is based on an analytical expression of the relative variance derived by means of an approximated correlation function. The relevance of the ...
Leitkam Samuel T - - 2014
Background: Detection and quantification of changes in hand function is important for patients with loss of function and clinicians who are treating them. A recently developed model, the Weighted Fingertip Space quantifies the hand function of individuals in three dimensional space and applies kinematic weighting parameters to identify regions of ...
Sierra C C Escuela Superior Politécnica del Litoral, Guayaquil, - - 2014
In environmental geochemistry studies it is common practice to normalize element concentrations in order to remove the effect of grain size. Linear regression with respect to a particular grain size or conservative element is a widely used method of normalization. In this paper, the utility of functional linear regression, in ...
Tomellini Massimo M Dipartimento di Scienze e Tecnologie Chimiche, Università di Roma Tor Vergata, Via della Ricerca Scientifica, 00133 Roma, - - 2014
The statistical methods exploiting the "Correlation-Functions" or the "Differential-Critical-Region" are both suitable for describing phase transformation kinetics ruled by nucleation and growth. We present a critical analysis of these two approaches, with particular emphasis to transformations ruled by diffusional growth which cannot be described by the Kolmogorov-Johnson-Mehl-Avrami (KJMA) theory. In ...
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