1,461 results match your criteria Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability[Journal]


An ecological view of measurement: focus on multilevel model explanation of differential item functioning.

Psicothema 2019 May;31(2):194-203

University of British Columbia.

Background: The 3rd Regional Comparative and Explanatory Study reports, analyses and compares academic results in mathematics, sciences, and reading for 15 Latin American countries. Validity is the foundation of a testing procedure, and the process of validation is important to the overall success of educational assessment as a whole. This methodological study deals specifically with an ecological point of view which includes and situates the person, process, context, and time of the testing situation. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.7334/psicothema2018.303DOI Listing

Spatial distribution and determinants of acute respiratory infection among under-five children in Ethiopia: Ethiopian Demographic Health Survey 2016.

PLoS One 2019 22;14(4):e0215572. Epub 2019 Apr 22.

Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Background: Childhood acute respiratory infection remains the commonest global cause of morbidity and mortality among under-five children. In Ethiopia, it remains the highest burden of the health care system. The problem varies in space and time, and exploring its spatial distribution has supreme importance for monitoring and designing effective intervention programs. Read More

View Article

Download full-text PDF

Source
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0215572PLOS
April 2019
1 Read

[Prevalence of hepatitis B and C viral infection according to the data on fetal outcomes in Moscow in 2015-2017].

Arkh Patol 2019 ;81(2):29-35

Department of Pathological Anatomy, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia, Moscow, Russia.

Objective: To elucidate the prevalence of hepatitis B and C viral infection among the people who died in Moscow in 2015-2017, by studying the primary medical records of a representative sample of fatal outcomes, followed by the mathematical extrapolation of the data obtained to the total number of all deaths.

Material And Methods: The 2015-2017 primary medical documentations from 8 therapeutic-and-preventive establishments with morbid anatomy units in the administrative districts and from 2 infectious diseases hospitals of the Moscow Healthcare Department were studied. The sample of those who died was 11. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.17116/patol20198102129DOI Listing
January 2019

Event-Triggered Active MPC for Nonlinear Multiagent Systems With Packet Losses.

IEEE Trans Cybern 2019 Apr 17. Epub 2019 Apr 17.

In this paper, event-triggered active model predictive control is investigated for a nonlinear multiagent system (MAS) with packet losses. By designing event-triggered mechanisms which reduce sensing cost, event-triggered conditions are detected at certain sampling instants. The prediction horizons of all agents are selected actively through the event-triggered mechanisms. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1109/TCYB.2019.2908389DOI Listing

Synchronization of complex dynamical networks with random coupling delay and actuator faults.

ISA Trans 2019 Apr 11. Epub 2019 Apr 11.

Department of Mathematics, Anna University-Regional Campus, Coimbatore 641046, Tamil Nadu, India.

This paper addresses the issue of passivity-based synchronization problem for a family of Markovian jump neutral complex dynamical networks (NCDNs) with coupling delay and actuator faults. Also, by considering the effect of random fluctuation in complex dynamical network systems, the occurrence of coupling delay are taken in terms of a stochastic distribution, which obeys the Bernoulli distribution. To handle the fault effects in actuators of proposed complex network systems, an actuator fault model is considered. Read More

View Article

Download full-text PDF

Source
https://linkinghub.elsevier.com/retrieve/pii/S00190578193015
Publisher Site
http://dx.doi.org/10.1016/j.isatra.2019.03.029DOI Listing
April 2019
2 Reads

Dark Play of Serious Games: Effectiveness and Features (G4HE2018).

Games Health J 2019 Apr 9. Epub 2019 Apr 9.

1 Department of Geriatric Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Objective: Choosing inappropriate or unethical actions in games is referred to as dark play. For a serious game on delirium for medical students, we aimed to investigate the potential differences between dark play and normal play on game effectiveness regarding abilities in advising care, learning motivation and engagement, and attitude toward delirious patients. Furthermore, we aimed to explore the use of different game features between the two types of play on empathy, self-efficacy, and consequences of care. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1089/g4h.2018.0126DOI Listing
April 2019
1 Read

A generalized Bayesian nonlinear mixed-effects regression model for zero-inflated longitudinal count data in tuberculosis trials.

Pharm Stat 2019 Apr 7. Epub 2019 Apr 7.

Department of Statistics, University of Pretoria, Pretoria, South Africa.

In this paper, we investigate Bayesian generalized nonlinear mixed-effects (NLME) regression models for zero-inflated longitudinal count data. The methodology is motivated by and applied to colony forming unit (CFU) counts in extended bactericidal activity tuberculosis (TB) trials. Furthermore, for model comparisons, we present a generalized method for calculating the marginal likelihoods required to determine Bayes factors. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/pst.1933DOI Listing
April 2019
2 Reads
1.102 Impact Factor

Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry.

ERJ Open Res 2019 Apr 1;5(2). Epub 2019 Apr 1.

University Medical Center Utrecht, Utrecht, The Netherlands.

Peak oxygen uptake (') is recognised as the best expression of aerobic fitness. Therefore, it is essential that ' reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. Read More

View Article

Download full-text PDF

Source
http://openres.ersjournals.com/lookup/doi/10.1183/23120541.0
Publisher Site
http://dx.doi.org/10.1183/23120541.00056-2018DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441675PMC
April 2019
2 Reads

Variance Components Models for Analysis of Big Family Data of Health Outcomes in the Lifelines Cohort Study.

Twin Res Hum Genet 2019 02;22(1):4-13

Bernoulli Institute,University of Groningen,Groningen,The Netherlands.

Large multigenerational cohort studies offer powerful ways to study the hereditary effects on various health outcomes. However, accounting for complex kinship relations in big data structures can be methodologically challenging. The traditional kinship model is computationally infeasible when considering thousands of individuals. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1017/thg.2019.1DOI Listing
February 2019

Reducing the impact of geometric errors in flow computations using velocity measurements.

Int J Numer Method Biomed Eng 2019 Apr 1:e3203. Epub 2019 Apr 1.

Bernoulli Institute, University of Groningen, Groningen, Netherlands.

Numerical blood flow simulations are typically set up from anatomical medical images and calibrated using velocity measurements. However, the accuracy of the computational geometry itself is limited by the resolution of the anatomical image. We first show that applying standard no-slip boundary conditions on inaccurately extracted boundaries can cause large errors in the results, in particular the pressure gradient. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/cnm.3203DOI Listing
April 2019
1 Read

On boundary damping to reduce the rain-wind oscillations of an inclined cable with small bending stiffness.

Nonlinear Dyn 2019 24;95(1):783-808. Epub 2018 Oct 24.

1Department of Mathematical Physics, Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.

In this paper, a model will be derived to describe the rain-wind-induced oscillations of an inclined cable. Water rivulets running along the cable and aerodynamics forces acting on the cable are taken into account to describe these oscillations. A boundary damper is assumed to be present near the lower endpoint of the cable. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11071-018-4596-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404634PMC
October 2018

Semi-automated analysis of 4D flow MRI to assess the hemodynamic impact of intracranial atherosclerotic disease.

Magn Reson Med 2019 Mar 28. Epub 2019 Mar 28.

Department of Radiology, Northwestern University, Chicago, Illinois.

Purpose: This study evaluated the feasibility of using 4D flow MRI and a semi-automated analysis tool to assess the hemodynamic impact of intracranial atherosclerotic disease (ICAD). The ICAD impact was investigated by evaluating pressure drop (PD) at the atherosclerotic stenosis and changes in cerebral blood flow distribution in patients compared to healthy controls.

Methods: Dual-venc 4D flow MRI was acquired in 25 healthy volunteers and 16 ICAD patients (ICA, N = 3; MCA, N = 13) with mild (<50%), moderate (50-69%), or severe (>70%) intracranial stenosis. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/mrm.27747DOI Listing
March 2019
1 Read

Electromechanical Modeling of a Piezoelectric Vibration Energy Harvesting Microdevice Based on Multilayer Resonator for Air Conditioning Vents at Office Buildings.

Micromachines (Basel) 2019 Mar 26;10(3). Epub 2019 Mar 26.

Micro and Nanotechnology Research Center, Universidad Veracruzana, Calzada Ruiz Cortines 455, Boca del Río, Veracruz 94294, Mexico.

Piezoelectric vibration energy harvesting (pVEH) microdevices can convert the mechanical vibrations to electrical voltages. In the future, these microdevices can provide an alternative to replace the electrochemical batteries, which cause contamination due to their toxic materials. We present the electromechanical modeling of a pVEH microdevice with a novel resonant structure for air conditioning vents at office buildings. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3390/mi10030211DOI Listing

Cannula position and Bernoulli effect contribute to leg malperfusion during extracorporeal life support with femoral arterial cannulation-an in silico simulation study†.

Interact Cardiovasc Thorac Surg 2019 Mar 15. Epub 2019 Mar 15.

Department of Adult and Pediatric Cardiovascular Surgery, Giessen University Hospital, Giessen, Germany.

Objectives: Limb ischaemia during extracorporeal life support (ECLS) using femoral artery cannulation is frequently observed even in patients with regular vessel diameters and without peripheral arterial occlusive disease. We investigated underlying pathomechanisms using a virtual fluid-mechanical simulation of the human circulation.

Methods: A life-sized model of the human aorta and major vascular branches was virtualized using 3-dimensional segmentation software (Mimics, Materialise). Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/icvts/ivz048DOI Listing
March 2019
2 Reads

Deep Learning versus Conventional Machine Learning for Detection of Healthcare-Associated Infections in French Clinical Narratives.

Methods Inf Med 2019 Mar 15. Epub 2019 Mar 15.

INSERM U1018, Villejuif, France.

Objective:  The objective of this article was to compare the performances of health care-associated infection (HAI) detection between deep learning and conventional machine learning (ML) methods in French medical reports.

Methods:  The corpus consisted in different types of medical reports (discharge summaries, surgery reports, consultation reports, etc.). Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1055/s-0039-1677692DOI Listing
March 2019
1 Read

Relation between centro-parietal positivity and diffusion model parameters in both perceptual and memory-based decision making.

Brain Res 2019 Mar 12. Epub 2019 Mar 12.

Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 9, 9747 AG Groningen, The Netherlands.

Several studies have suggested that the centro-parietal positivity (CPP), an EEG potential occurring approximately 500 ms post- stimulus, reflects the accumulation of evidence for making a decision. Yet, most previous studies of the CPP focused exclusively on perceptual decisions with very simple stimuli. In this study, we examined how the dynamics of the CPP depended on the type of decision being made, and whether its slope was related to parameters of an accumulator model of decision making. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.brainres.2019.03.008DOI Listing

Shannon's information, Bernal's biopoiesis and Bernoulli distribution as pillars for building a definition of life.

J Theor Biol 2019 Jun 13;470:101-107. Epub 2019 Mar 13.

Faculty of Chemistry, University of Warsaw, Warsaw, Poland. Electronic address:

The quest for defining life has lasted since the beginning of modern science. During the last century, we have reached a lot of milestones toward the understanding of life and its molecular basis. Also, as living creatures, we have imprinted awareness about what is life and what is not. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jtbi.2019.03.009DOI Listing
June 2019
1 Read

Complete analytical solutions for double cantilever beam specimens with bi-linear quasi-brittle and brittle interfaces.

Int J Fract 2019 14;215(1):1-37. Epub 2018 Nov 14.

2Faculty of Civil Engineering, University of Rijeka, Radmile Matejčić 3, Rijeka, 51000 Croatia.

In this work we develop a complete analytical solution for a double cantilever beam (DCB) where the arms are modelled as Timoshenko beams, and a bi-linear cohesive-zone model (CZM) is embedded at the interface. The solution is given for two types of DCB; one with prescribed rotations (with steady-state crack propagation) and one with prescribed displacement (where the crack propagation is not steady state). Because the CZM is bi-linear, the analytical solutions are given separately in three phases, namely (i) linear-elastic behaviour before crack propagation, (ii) damage growth before crack propagation and (iii) crack propagation. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10704-018-0324-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383630PMC
November 2018

Fluid-structure interaction modeling on a 3D ray-strengthened caudal fin.

Bioinspir Biomim 2019 Apr 10;14(3):036012. Epub 2019 Apr 10.

Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow, G4 0LZ, Scotland, United Kingdom.

In this paper, we present a numerical model capable of solving the fluid-structure interaction problems involved in the dynamics of skeleton-reinforced fish fins. In this model, the fluid dynamics is simulated by solving the Navier-Stokes equations using a finite-volume method based on an overset, multi-block structured grid system. The bony rays embedded in the fin are modeled as nonlinear Euler-Bernoulli beams. Read More

View Article

Download full-text PDF

Source
http://iopscience.iop.org/article/10.1088/1748-3190/ab0fbe
Publisher Site
http://dx.doi.org/10.1088/1748-3190/ab0fbeDOI Listing
April 2019
6 Reads

Psychometric evaluation of a revised Family Collaboration Scale.

Geriatr Nurs 2019 Mar 11. Epub 2019 Mar 11.

Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, P.O. Box 3109, 9701 DC Groningen, The Netherlands; Faculty of Science and Engineering, Johan Bernoulli Institute, University of Groningen, PO Box 72, 9700 AB Groningen, The Netherlands. Electronic address:

Measuring family caregivers' experiences of collaboration with nurses is important in the context of health care reforms that advocate an increased role of families in care. The Family Collaboration Scale (FCS) measures collaboration between nurses and family caregivers, however, the scale has a broad scope. Thus, the aim of this study was to construct a measure that is focused on collaboration only. Read More

View Article

Download full-text PDF

Source
https://linkinghub.elsevier.com/retrieve/pii/S01974572183064
Publisher Site
http://dx.doi.org/10.1016/j.gerinurse.2019.02.003DOI Listing
March 2019
5 Reads

Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control.

Neural Netw 2019 Feb 22;114:28-37. Epub 2019 Feb 22.

Istanbul University-Cerrahpasa, Faculty of Engineering, Department of Computer Engineering, 34320 Avcilar, Istanbul, Turkey. Electronic address:

This paper investigates state estimation for complex dynamical networks (CDNs) with time-varying delays by using sampled-data control. For the simplicity of technical development, only two different sampling periods are considered whose occurrence probabilities are given constants and satisfy Bernoulli distribution, which can be further extended to the case with multiple stochastic sampling periods. By applying an input-delay approach, the probabilistic sampling state estimator is transformed into a continuous time-delay system with stochastic parameters in the system matrices, where the purpose is to design a state estimator to estimate the network states through available output measurements. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.neunet.2019.02.004DOI Listing
February 2019

Predicting task-general mind-wandering with EEG.

Cogn Affect Behav Neurosci 2019 Mar 8. Epub 2019 Mar 8.

Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 9, 9747AG, Groningen, Netherlands.

Mind-wandering refers to the process of thinking task-unrelated thoughts while performing a task. The dynamics of mind-wandering remain elusive because it is difficult to track when someone's mind is wandering based only on behavior. The goal of this study is to develop a machine-learning classifier that can determine someone's mind-wandering state online using electroencephalography (EEG) in a way that generalizes across tasks. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3758/s13415-019-00707-1DOI Listing

Low muscle mass is associated with early termination of chemotherapy related to toxicity in patients with head and neck cancer.

Clin Nutr 2019 Feb 22. Epub 2019 Feb 22.

Department of Oncology, University of Alberta, Edmonton, AB, Canada. Electronic address:

Background & Aims: We studied whether low pre-treatment muscle mass, measured with CT at thoracic (T4) or lumbar level (L3) associates with early termination of chemotherapy related to toxicity in head and neck cancer (HNC) patients.

Methods: This was a retrospective chart and image review. Adult HNC patients treated with (surgery and) platinum-based chemo-radiotherapy were included if a pre-treatment CT scan at T4 or L3 level was available. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clnu.2019.02.029DOI Listing
February 2019
1 Read
4.476 Impact Factor

How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes.

Int J Neural Syst 2019 Jan 14:1950003. Epub 2019 Jan 14.

1 Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawinskiego 5B, 02-106 Warsaw, Poland.

The nature of neural codes is central to neuroscience. Do neurons encode information through relatively slow changes in the firing rates of individual spikes (rate code) or by the precise timing of every spike (temporal code)? Here we compare the loss of information due to correlations for these two possible neural codes. The essence of Shannon's definition of information is to combine information with uncertainty: the higher the uncertainty of a given event, the more information is conveyed by that event. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1142/S0129065719500035DOI Listing
January 2019

Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold.

Sensors (Basel) 2019 Mar 5;19(5). Epub 2019 Mar 5.

School of Electronic Engineering, Xidian University, Xi'an 710071, China.

Adaptively modeling the target birth intensity while maintaining the filtering efficiency is a challenging issue in multi-target tracking (MTT). Generally, the target birth probability is predefined as a constant and only the target birth density is considered in existing adaptive birth models, resulting in deteriorated target tracking accuracy, especially in the target appearing cases. In addition, the existing adaptive birth models also give rise to a decline in operation efficiency on account of the extra birth modeling calculations. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3390/s19051120DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427438PMC
March 2019
6 Reads

Automatic mapping of atrial fiber orientations for patient-specific modeling of cardiac electromechanics using image registration.

Int J Numer Method Biomed Eng 2019 Mar 3:e3190. Epub 2019 Mar 3.

Institute of Computational Mechanics, Technical University of Munich, Garching bei München, Germany.

Knowledge of appropriate local fiber architecture is necessary to simulate patient-specific electromechanics in the human heart. However, it is not yet possible to reliably measure in vivo fiber directions especially in human atria. Thus, we present a method that defines the fiber architecture in arbitrarily shaped atria using image registration and reorientation methods based on atlas atria with fibers predefined from detailed histological observations. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/cnm.3190DOI Listing

Analytical and computational studies of the nonlinear vibrations of SWCNTs embedded in viscous elastic matrix using KBM method.

Chaos 2019 Feb;29(2):023134

Centre for Nanoscience and Nanotechnology, Jamia Millia Islamia (A Central University), New Delhi 110025, India.

The forced vibration analysis of single wall carbon nanotubes (SWCNTs) embedded in the viscous elastic matrix subjected to axial parametric excitation has been investigated. The Euler Bernoulli beam model of the non-local continuum theory is used. The resonant and non-resonant solutions are analytically studied using the Krylov Bogoliubov and Mitropolsky method. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1063/1.5079700DOI Listing
February 2019
3 Reads

Multi-Objective Optimization Based Multi-Bernoulli Sensor Selection for Multi-Target Tracking.

Sensors (Basel) 2019 Feb 25;19(4). Epub 2019 Feb 25.

Key laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an 710071, China.

This paper presents a novel multi-objective optimization based sensor selection method for multi-target tracking in sensor networks. The multi-target states are modelled as multi-Bernoulli random finite sets and the multi-Bernoulli filter is used to propagate the multi-target posterior density. The proposed method is designed to select the sensor that provides the most reliable cardinality estimate, since more accurate cardinality estimate indicates more accurate target states. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3390/s19040980DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412455PMC
February 2019

A novel and reproducible release mechanism for a drug-delivery system in the gastrointestinal tract.

Biomed Microdevices 2019 02 27;21(1):25. Epub 2019 Feb 27.

Department of Information Technology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.

To establish a reliable, reproducible and accurate release of the drug in the gastrointestinal tract, a novel release mechanism for a controllable drug-delivery system has been investigated. The release mechanism, consisting of a one-way valve for drug release, a drug chamber, two axially magnetized cylindrical permanent magnets and a multi-layer solenoid coil, is hosted in the capsule-shaped shell with diameter 11 mm and length 30 mm. To actuate the coil piston, the two static magnetic fields produced by the two magnets are aligned along the same axis, having the same magnitude, but opposite directions. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10544-019-0383-zDOI Listing
February 2019
1 Read

NRLMF: Beta-distribution-rescored neighborhood regularized logistic matrix factorization for improving the performance of drug-target interaction prediction.

Biochem Biophys Rep 2019 Jul 7;18:100615. Epub 2019 Feb 7.

School of Computing, Tokyo Institute of Technology, 2-12-1 W8-76 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.

Techniques for predicting interactions between a drug and a target (protein) are useful for strategic drug repositioning. Neighborhood regularized logistic matrix factorization (NRLMF) is one of the state-of-the-art drug-target interaction prediction methods; it is based on a statistical model using the Bernoulli distribution. However, the prediction is not accurate when drug-target interaction pairs have less interaction information (e. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bbrep.2019.01.008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370585PMC

Hemodynamic characterization of aortic stenosis states.

Catheter Cardiovasc Interv 2019 Apr 21;93(5):1002-1023. Epub 2019 Feb 21.

Department of Medicine, Laval University, Quebec City, QC, Canada.

Aortic stenosis (AS) has become an increasingly prevalent clinical condition, as a result of the "greying of the population", the widespread application of sophisticated diagnostic tools including non-invasive imaging and invasive techniques, and the advent of minimally invasive surgical and percutaneous valve therapies. The diagnosis of severe AS traditionally has relied on the assessment of the mean transvalvular gradient (ΔP ) and aortic valve area (AVA) by either echocardiography or catheterization. However, other hemodynamic variables as flow, pressure recovery, and jet eccentricity also play a major role in determining the final hemodynamic state of AS. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/ccd.28146DOI Listing
April 2019
2 Reads

Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.

Mol Pharm 2019 Apr 26;16(4):1620-1632. Epub 2019 Feb 26.

Collaborations Pharmaceuticals, Inc. , Main Campus Drive, Lab 3510 , Raleigh , North Carolina 27606 , United States.

The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge economic impact in many countries. The first class of drugs approved were nucleoside reverse transcriptase inhibitors. A newer generation of reverse transcriptase inhibitors have become susceptible to drug resistant strains of HIV, and hence, alternatives are urgently needed. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.molpharmaceut.8b01297DOI Listing
April 2019
3 Reads

Variational Infinite Heterogeneous Mixture Model for Semi-supervised Clustering of Heart Enhancers.

Bioinformatics 2019 Feb 7. Epub 2019 Feb 7.

Department of Computer Science, University of Toronto, Toronto, Canada.

Motivation: Mammalian genomes can contain thousands of enhancers but only a subset are actively driving gene expression in a given cellular context. Integrated genomic datasets can be harnessed to predict active enhancers. One challenge in integration of large genomic datasets is the increasing heterogeneity: continuous, binary and discrete features may all be relevant. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/bioinformatics/btz064DOI Listing
February 2019

An experimental quantum Bernoulli factory.

Sci Adv 2019 Jan 25;5(1):eaau6668. Epub 2019 Jan 25.

Centre for Quantum Computation and Communication Technology and Centre for Quantum Dynamics, Griffith University, Brisbane 4111, Australia.

There has been a concerted effort to identify problems computable with quantum technology, which are intractable with classical technology or require far fewer resources to compute. Recently, randomness processing in a Bernoulli factory has been identified as one such task. Here, we report two quantum photonic implementations of a Bernoulli factory, one using quantum coherence and single-qubit measurements and the other one using quantum coherence and entangling measurements of two qubits. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1126/sciadv.aau6668DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357723PMC
January 2019

Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy.

Sci Rep 2019 Feb 4;9(1):1375. Epub 2019 Feb 4.

Division of Imaging Sciences and Biomedical Engineering, King's College London, St Thomas' Hospital, London, United Kingdom.

Many cardiovascular diseases lead to local increases in relative pressure, reflecting the higher costs of driving blood flow. The utility of this biomarker for stratifying the severity of disease has thus driven the development of methods to measure these relative pressures. While intravascular catheterisation remains the most direct measure, its invasiveness limits clinical application in many instances. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41598-018-37714-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362021PMC
February 2019

Identification of possible ΔC anomalies since 14 ka BP: A computational intelligence approach.

Sci Total Environ 2019 May 23;663:162-169. Epub 2019 Jan 23.

Center for Isotope Research, University of Groningen, Groningen, the Netherlands.

Rapid increments in the concentration of the radiocarbon in the atmosphere (ΔC) have been identified in the years 774-775 CE and 993-994 CE (Miyake events) using annual measurements on known-age tree-rings. The level of cosmic radiation implied by such increases could cause the failure of satellite telecommunication systems, and thus, there is a need to model and predict them. In this work, we investigated several intelligent computational methods to identify similar events in the past. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2019.01.251DOI Listing
May 2019
1 Read

Patient-specific non-invasive estimation of pressure gradient across aortic coarctation using magnetic resonance imaging.

J Cardiol 2019 Jun 29;73(6):544-552. Epub 2019 Jan 29.

Medical Physics Group, Department of Cardiovascular Science, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, UK. Electronic address:

Background: Non-invasive estimation of the pressure gradient in aortic coarctation has much clinical importance in assisting the diagnosis and treatment of the disease. Previous researchers applied computational fluid dynamics for the prediction of the pressure gradient in aortic coarctation. The accuracy of the prediction was satisfactory but the procedure was time-consuming and resource-demanding. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jjcc.2018.12.016DOI Listing
June 2019
3 Reads

Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project.

J Chem Inf Model 2019 Feb 11. Epub 2019 Feb 11.

Milano Chemometrics & QSAR Research Group, Department of Earth and Environmental Sciences , University of Milano-Bicocca , piazza della Scienza 1 , IT-20126 Milano , Italy.

The nuclear androgen receptor (AR) is one of the most relevant biological targets of Endocrine Disrupting Chemicals (EDCs), which produce adverse effects by interfering with hormonal regulation and endocrine system functioning. This paper describes novel in silico models to identify organic AR modulators in the context of the Collaborative Modeling Project of Androgen Receptor Activity (CoMPARA), coordinated by the National Center of Computational Toxicology (U.S. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.jcim.8b00794DOI Listing
February 2019
1 Read

In Vivo Quantification of the Intraglottal Pressure: Modal Phonation and Voice Onset.

J Voice 2019 Jan 15. Epub 2019 Jan 15.

Neurosciences Institute, University of Louvain, Brussels, Belgium.

Intraglottal pressure is the driving force of vocal fold vibration. Its time course during the open phase of the vibratory cycle is essential in the mechanics of phonation, but measuring it directly is difficult and may hinder spontaneous voicing. However, it can be computed from the in vivo measured transglottal flow and glottal area (hence the air particle velocity) on the basis of the Bernoulli energy law and the interaction with the inertance of the vocal tract. Read More

View Article

Download full-text PDF

Source
https://linkinghub.elsevier.com/retrieve/pii/S08921997183049
Publisher Site
http://dx.doi.org/10.1016/j.jvoice.2019.01.001DOI Listing
January 2019
11 Reads

Clinical Trial Design Using A Stopped Negative Binomial Distribution.

Stat Interface 2018 19;11(4):699-707. Epub 2018 Sep 19.

Department of Biostatistics, School of Epidemiology and Public Health, Yale University, New Haven, CT,

We introduce a discrete distribution suggested by curtailed sampling rules common in early-stage clinical trials. We derive the distribution of the smallest number of independent and identically distributed Bernoulli trials needed to observe either successes or failures. This report provides a closed-form expression for the mass function, moment generating function, and provides connections to other, standard distributions. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.4310/SII.2018.v11.n4.a13DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333309PMC
September 2018

A post-processing-free single-photon random number generator with ultra-low latency.

Opt Express 2018 Dec;26(25):32788-32801

The low-latency requirements of a practical loophole-free Bell test preclude time-consuming post-processing steps that are often used to improve the statistical quality of a physical random number generator (RNG). Here we demonstrate a post-processing-free RNG that produces a random bit within 2.4(2) ns of an input trigger. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1364/OE.26.032788DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460928PMC
December 2018

Dissipativity-Based Control for Fuzzy Systems With Asynchronous Modes and Intermittent Measurements.

IEEE Trans Cybern 2019 Jan 4. Epub 2019 Jan 4.

In this paper, the problem of asynchronous output feedback control is investigated for a class of Takagi-Sugeno fuzzy switched systems subject to intermittent measurements. The Bernoulli process is employed to model the phenomenon of stochastic intermittent measurements. Based on the hidden Markov model and output measurements, an asynchronous controller is designed. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1109/TCYB.2018.2887060DOI Listing
January 2019

Detection of u-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters.

Int J Med Inform 2019 Feb 28;122:27-36. Epub 2018 Nov 28.

Bernoulli Institute for Mathematics, Computer Science, University of Groningen, The Netherlands.

Direct immunofluorescence (DIF) microscopy of a skin biopsy is used by physicians and pathologists to diagnose autoimmune bullous dermatoses (AIBD). This technique is the reference standard for diagnosis of AIBD, which is used worldwide in medical laboratories. For diagnosis of subepidermal AIBD (sAIBD), two different types of serrated pattern of immunodepositions can be recognized from DIF images, namely n- and u-serrated patterns. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijmedinf.2018.11.007DOI Listing
February 2019
2 Reads

An Implementation and Visualization of the Tree-Based Scan Statistic for Safety Event Monitoring in Longitudinal Electronic Health Data.

Drug Saf 2019 Jan 8. Epub 2019 Jan 8.

Worldwide Safety and Regulatory, Pfizer Inc., 219 E. 42nd St, New York, NY, 10017, USA.

Introduction: Longitudinal electronic healthcare data hold great potential for drug safety surveillance. The tree-based scan statistic (TBSS), as implemented by the TreeScan software, allows for hypothesis-free signal detection in longitudinal data by grouping safety events according to branching, hierarchical data coding systems, and then identifying signals of disproportionate recording (SDRs) among the singular events or event groups.

Objective: The objective of this analysis was to identify and visualize SDRs with the TBSS in historical data from patients using two antifungal drugs, itraconazole or terbinafine. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1007/s40264-018-00784-0DOI Listing
January 2019
2 Reads

Linear estimation for discrete-time periodic systems with unknown measurement input and missing measurements.

ISA Trans 2018 Dec 7. Epub 2018 Dec 7.

School of Computing, Engineering and Mathematics, Western Sydney University, Sydney NSW 2751, Australia. Electronic address:

This paper considers the estimation problem for periodic systems with unknown measurement input and missing measurements. The missing measurements phenomenon is described by an independent and identically distributed Bernoulli process. The quality of the estimation achieved by an admissible filter is measured by a performance criterion described by the Cesaro limit of the mean square of the deviation between the remote signal and the estimated signal. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.isatra.2018.11.013DOI Listing
December 2018

A prediction method for plasma concentration by using a nonlinear grey Bernoulli combined model based on a self-memory algorithm.

Comput Biol Med 2019 Feb 5;105:81-91. Epub 2018 Dec 5.

Institute of Artificial Intelligence, De Montfort University, Leicester, LE1 9BH, UK.

The goal of this work is to present and explore the application of a novel nonlinear grey Bernoulli combined model based on a self-memory algorithm, abbreviated as SA-NGBM, for modeling single-peaked sequences of time samples of acetylsalicylate plasma concentration following oral dosing. The self-memorization SA-NGBM routine reduces the dependence on a solitary initial value, as the initial state of the model utilizes multiple time samples. To test its forecasting performance, the SA-NGBM was used to extrapolate the plasma concentration predicted data, in comparison with the later time samples. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.compbiomed.2018.12.004DOI Listing
February 2019
1 Read

A latent allocation model for the analysis of microbial composition and disease.

BMC Bioinformatics 2018 Dec 31;19(Suppl 19):519. Epub 2018 Dec 31.

Division of Systems Biology, Nagoya university Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 4668550, Japan.

Background: Establishing the relationship between microbiota and specific diseases is important but requires appropriate statistical methodology. A specialized feature of microbiome count data is the presence of a large number of zeros, which makes it difficult to analyze in case-control studies. Most existing approaches either add a small number called a pseudo-count or use probability models such as the multinomial and Dirichlet-multinomial distributions to explain the excess zero counts, which may produce unnecessary biases and impose a correlation structure taht is unsuitable for microbiome data. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1186/s12859-018-2530-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311924PMC
December 2018
1 Read

Non-Invasive Assessment of Intravascular Pressure Gradients: A Review of Current and Proposed Novel Methods.

Diagnostics (Basel) 2018 Dec 29;9(1). Epub 2018 Dec 29.

Department of Diagnostic Radiology, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.

Invasive catheterization is associated with a low risk of serious complications. However, although it is the gold standard for measuring pressure gradients, it induces changes to blood flow and requires significant resources. Therefore, non-invasive alternatives are urgently needed. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3390/diagnostics9010005DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468662PMC
December 2018

The STRAND Chart: A survival time control chart.

Authors:
Olivia Aj Grigg

Stat Med 2019 Apr 26;38(9):1651-1661. Epub 2018 Dec 26.

MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.

The STRAND Chart (Survival Time, Risk-Adjusted, N-Division Chart) is a new tool for online risk-adjusted (RA) monitoring of survival outcomes. The chart is drawn in continuous time, making it responsive to change in the process of interest, for example, performance over time of a surgical unit and the procedures that they employ. Though it is difficult to achieve with charts designed for the purpose described, we show that our suggested chart keeps patient ordering intact. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/sim.8065DOI Listing
April 2019
2 Reads

Multilevel Modeling of Cognitive Diagnostic Assessment: The Multilevel DINA Example.

Appl Psychol Meas 2019 Jan 3;43(1):34-50. Epub 2018 Apr 3.

The Education University of Hong Kong, Tai Po, Hong Kong.

Many multilevel linear and item response theory models have been developed to account for multilevel data structures. However, most existing cognitive diagnostic models (CDMs) are unilevel in nature and become inapplicable when data have a multilevel structure. In this study, using the log-linear CDM as the item-level model, multilevel CDMs were developed based on the latent continuous variable approach and the multivariate Bernoulli distribution approach. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1177/0146621618765713DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297912PMC
January 2019