74,806 results match your criteria simulation algorithm


Penalized homophily latent space models for directed scale-free networks.

PLoS One 2021 2;16(8):e0253873. Epub 2021 Aug 2.

Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.

Online social networks like Twitter and Facebook are among the most popular sites on the Internet. Most online social networks involve some specific features, including reciprocity, transitivity and degree heterogeneity. Such networks are so called scale-free networks and have drawn lots of attention in research. Read More

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Two-trajectory laser amygdalohippocampotomy: Anatomic modeling and initial seizure outcomes.

Epilepsia 2021 Aug 2. Epub 2021 Aug 2.

Department of Neurosurgery, The Warren Alpert Medical School, Brown University, Providence, RI, USA.

Objective: Laser interstitial thermal therapy (LITT) for mesial temporal lobe epilepsy (mTLE) is typically performed with one trajectory to target the medial temporal lobe (MTL). MTL structures such as piriform and entorhinal cortex are epileptogenic, but due to their relative geometry, they are difficult to target with one trajectory while simultaneously maintaining adequate ablation of the amygdala and hippocampus. We hypothesized that a two-trajectory approach could improve ablation of all relevant MTL structures. Read More

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Novel approach to determine unbalanced current circuit on Nigerian 330kV transmission grid for reliability and security enhancement.

Heliyon 2021 Jul 15;7(7):e07563. Epub 2021 Jul 15.

Department of Electrical and Electronics Engineering, University of Lagos, Nigeria.

The present Nigerian transmission network is faced with the difficulty of evacuating and dispatching reliable and quality electricity supply and simultaneously maintaining an operational standard of security to prevent any collapses. Therefore, this study developed a novel technique to optimize electrical current flow to provide in-depth research and analysis of current flowing in the transmission network circuit prone to danger during short-circuit faults. The research methodology involved the generation of unbalanced short-circuit calculations at every single node of the three-phase network using the symmetrical component method. Read More

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Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision Methods.

Front Robot AI 2021 15;8:696587. Epub 2021 Jul 15.

Manipulation and Environmental Robotics Laboratory (MER Lab), Robotics Engineering Department, Worcester Polytechnic Institute, Worcester, MA, United States.

In this work, we present several heuristic-based and data-driven active vision strategies for viewpoint optimization of an arm-mounted depth camera to aid robotic grasping. These strategies aim to efficiently collect data to boost the performance of an underlying grasp synthesis algorithm. We created an open-source benchmarking platform in simulation (https://github. Read More

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You Were Always on My Mind: Introducing Chef's Hat and COPPER for Personalized Reinforcement Learning.

Front Robot AI 2021 16;8:669990. Epub 2021 Jul 16.

Cognitive Architecture for Collaborative Technologies (CONTACT) Unit Istituto Italiano di Tecnologia, Genova, Italy.

Reinforcement learning simulation environments pose an important experimental test bed and facilitate data collection for developing AI-based robot applications. Most of them, however, focus on single-agent tasks, which limits their application to the development of social agents. This study proposes the Chef's Hat simulation environment, which implements a multi-agent competitive card game that is a complete reproduction of the homonymous board game, designed to provoke competitive strategies in humans and emotional responses. Read More

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Bounded Cost Path Planning for Underwater Vehicles Assisted by a Time-Invariant Partitioned Flow Field Model.

Front Robot AI 2021 14;8:575267. Epub 2021 Jul 14.

Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.

A bounded cost path planning method is developed for underwater vehicles assisted by a data-driven flow modeling method. The modeled flow field is partitioned as a set of cells of piece-wise constant flow speed. A flow partition algorithm and a parameter estimation algorithm are proposed to learn the flow field structure and parameters with justified convergence. Read More

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5G Edge Computing Enabled Directional Data Collection for Medical Community Electronic Health Records.

J Healthc Eng 2021 22;2021:5598077. Epub 2021 Jul 22.

The Affiliated Changshu Hospital of Soochow University (Changshu No. 1 People's Hospital), Jiangsu, 215500 Changshu, Suzhou, China.

It is important to promote the development and application of hospital information system, community health service system, etc. However, it is difficult to realize the intercommunication between various information systems because it is not enough to realize the in-depth management of health information. To address these issues, we design the 5G edge computing-assisted architecture for medical community. Read More

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Using Big Data-Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning.

Authors:
Yudong Sun Yahui He

Comput Intell Neurosci 2021 14;2021:2747940. Epub 2021 Jul 14.

School of Physical Education, Fuyang Normal University, Fuyang 236000, China.

In high-paced and efficient life and work, fatigue is one of the important factors that cause accidents such as traffic and medical accidents. This study designs a feature map-based pruning strategy (PFM), which effectively reduces redundant parameters and reduces the time and space complexity of parallelized deep convolutional neural network (DCNN) training; a correction is proposed in the Map stage. The secant conjugate gradient method (CGMSE) realizes the fast convergence of the conjugate gradient method and improves the convergence speed of the network; in the Reduce stage, a load balancing strategy to control the load rate (LBRLA) is proposed to achieve fast and uniform data grouping to ensure the parallelization performance of the parallel system. Read More

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Brain Emotional Learning and Adaptive Model Predictive Controller for Induction Motor Drive: A New Cascaded Vector Control Topology.

Int J Control Autom Syst 2021 Jul 27:1-14. Epub 2021 Jul 27.

Haptics, Human-Robotics and Condition Monitoring Lab (Affiliated Lab of National Center of Robotics and Automation - HEC Pakistan) and with the Department of Electrical Engineering, NED University of Engineering and Technology, Karachi, Pakistan.

With the development of high-speed microprocessors, it is now possible to implement mathematically complex vector control algorithms without compromising on the performance of motor drive. Among vector control techniques space vector proportional-integral (PI), direct-torque control (DTC), field-oriented control (FOC), model-predictive control (MPC) are being widely used in industries. But their limitations have urged researchers to develop more advance techniques. Read More

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A stochastic bi-objective simulation-optimization model for plasma supply chain in case of COVID-19 outbreak.

Appl Soft Comput 2021 Jul 28:107725. Epub 2021 Jul 28.

Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.

As of March 24, 2020, the Food and Drug Administration (FDA) authorized to bleed the newly recovered from Coronavirus Disease 2019 (COVID-19), i.e., the ones whose lives were at risk, separate Plasma from their blood and inject it to COVID-19 patients. Read More

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Estimation of Patient Eye-Lens Dose During Neuro-Interventional Procedures using a Dense Neural Network (DNN).

Proc SPIE Int Soc Opt Eng 2021 Feb 15;11595. Epub 2021 Feb 15.

The State University of New York at Buffalo, Jacobs School of Medicine and Biomedical Sciences, Canon Stroke and Vascular Research Center, 875 Ellicott St., Buffalo, NY 14203.

The patient's eye-lens dose changes for each projection view during fluoroscopically-guided neuro-interventional procedures. Monte-Carlo (MC) simulation can be done to estimate lens dose but MC cannot be done in real-time to give feedback to the interventionalist. Deep learning (DL) models were investigated to estimate patient-lens dose for given exposure conditions to give real-time updates. Read More

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February 2021

Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data.

J R Stat Soc Ser C Appl Stat 2021 Jun 23;70(3):532-557. Epub 2021 Feb 23.

Department of Statistical Science, Duke University, Durham, NC, USA.

In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the cause-specific mortality fraction (CSMF) for populations. Post-mortem autopsies, considered the gold standard for COD assignment, are often difficult or impossible to implement due to deaths occurring outside the hospital, expense, and/or cultural norms. For this reason, Verbal Autopsies (VAs) are commonly conducted, consisting of a questionnaire administered to next of kin recording demographic information, known medical conditions, symptoms, and other factors for the decedent. Read More

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Torsional oscillation-considered mode transition coordinated control for a power-split PHEV based on action dependent heuristic dynamic programming.

ISA Trans 2021 Jul 22. Epub 2021 Jul 22.

CRCC Qishuyan Institute Co., Ltd., 258, Wuyi Road, Changzhou, Jiangsu Province, China.

The mode transition process (MTP) from electric mode to hybrid electric mode (EM-to-HM) will cause the deterioration in occupant comfort of PHEV, to tickle this issue, a torsional oscillation-considered mode transition coordinated control strategy and a novel general evaluation index for MTP are developed in this research, the quality of mode transition and transient torsional oscillation of gears (TTOGs) during MTP are taken into consideration comprehensively. An action dependent heuristic dynamic programming algorithm which takes the vehicle jerk, friction loss and TTOGs as evaluation index is used to optimize the pressure curve of clutch oil and the compensation torque of motor in the entire EM-to-HM process. Finally, the simulation results and hardware-in-the-loop tests show that vehicle jerk and TTOGs are suppressed, and the driving comfort can be improved accordingly. Read More

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Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients.

BMC Med Inform Decis Mak 2021 Jul 30;21(1):227. Epub 2021 Jul 30.

Department of Information System, Indian Institute of Management, Rohtak, India.

Background: In medical diagnosis and clinical practice, diagnosing a disease early is crucial for accurate treatment, lessening the stress on the healthcare system. In medical imaging research, image processing techniques tend to be vital in analyzing and resolving diseases with a high degree of accuracy. This paper establishes a new image classification and segmentation method through simulation techniques, conducted over images of COVID-19 patients in India, introducing the use of Quantum Machine Learning (QML) in medical practice. Read More

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Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm.

Comput Biol Med 2021 Jul 24;136:104652. Epub 2021 Jul 24.

Department of Mathematics, University of Macau, Macau, China. Electronic address:

Surgical planning for aortic aneurysm repair is a difficult task. In addition to the morphological features obtained from medical imaging, alternative features obtained with computational modeling may provide additional useful information. Though numerical studies are noninvasive, they are often time-consuming, especially when we need to study and compare multiple repair scenarios, because of the high computational complexity. Read More

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spheresDT/Mpacts-PiCS: Cell Tracking and Shape Retrieval in Membrane-labeled Embryos.

Bioinformatics 2021 Jul 30. Epub 2021 Jul 30.

CMPG, KU Leuven, Heverlee, 3001, Belgium.

Motivation: Uncovering the cellular and mechanical processes that drive embryo formation requires an accurate read out of cell geometries over time. However, automated extraction of 3D cell shapes from time lapse microscopy remains challenging, especially when only membranes are labeled.

Results: We present an image analysis framework for automated tracking and three-dimensional cell segmentation in confocal time lapses. Read More

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Efficient Closed Loop Simulation of Do-It-Yourself Artificial Pancreas Systems.

J Diabetes Sci Technol 2021 Jul 30:19322968211032249. Epub 2021 Jul 30.

Institute for Medical Engineering and Mechatronics, Ulm University of Applied Sciences, Ulm, Germany.

Background: Numerical simulations, also referred to as in silico trials, are nowadays the first step toward approval of new artificial pancreas (AP) systems. One suitable tool to run such simulations is the UVA/Padova Type 1 Diabetes Metabolic Simulator (T1DMS). It was used by Toffanin et al. Read More

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Lung Cancer Diagnosis Based on an ANN Optimized by Improved TEO Algorithm.

Comput Intell Neurosci 2021 16;2021:6078524. Epub 2021 Jul 16.

Neuroscience Research Center, Shiraz, Iran.

A quarter of all cancer deaths are due to lung cancer. Studies show that early diagnosis and treatment of this disease are the most effective way to increase patient life expectancy. In this paper, automatic and optimized computer-aided detection is proposed for lung cancer. Read More

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Stochastic Functional Estimates in Longitudinal Models with Interval-Censored Anchoring Events.

Scand Stat Theory Appl 2020 Sep 23;47(3):638-661. Epub 2019 Oct 23.

Department of Biostatistics, Indianan University, Indianapolis, USA.

Timelines of longitudinal studies are often anchored by specific events. In the absence of fully observed the anchoring event times, the study timeline becomes undefined, and the traditional longitudinal analysis loses its temporal reference. In this paper, we considered an analytical situation where the anchoring events are interval-censored. Read More

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September 2020

Variable selection for longitudinal zero-inflated power series transition model.

J Biopharm Stat 2021 Jul 30:1-18. Epub 2021 Jul 30.

Department of Statistics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, Iran.

In modeling many longitudinal count clinical studies, the excess of zeros is a common problem. To take into account the extra zeros, the zero-inflated power series (ZIPS) models have been applied. These models assume a latent mixture model consisting of a count component and a degenerated zero component that has a unit point mass at zero. Read More

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Adaptive authority allocation-based driver-automation shared control for autonomous vehicles.

Accid Anal Prev 2021 Jul 27;160:106301. Epub 2021 Jul 27.

School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China.

To avoid crashes caused by driver error in avoiding obstacles, a driver-centered steering assist controller with an adaptive authority allocation system is proposed for cooperative control purposes. To begin with, a concept of space collision risk (SCR) is introduced creatively for assessing the vehicle's safety status in which the relative distance and the relative angle between the vehicle and the obstacle are taken into consideration. Meanwhile, the SCR-based authority allocation system is addressed to allocate steering authorities between the human driver and the assist controller adaptively to reduce SCR to zero as soon as possible. Read More

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Combinatorial constraint coding based on the EORS algorithm in DNA storage.

Authors:
Li Xiaoru Guo Ling

PLoS One 2021 29;16(7):e0255376. Epub 2021 Jul 29.

Baidu Co., Ltd., Shanghai, China.

The development of information technology has produced massive amounts of data, which has brought severe challenges to information storage. Traditional electronic storage media cannot keep up with the ever-increasing demand for data storage, but in its place DNA has emerged as a feasible storage medium with high density, large storage capacity and strong durability. In DNA data storage, many different approaches can be used to encode data into codewords. Read More

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Research on insulator defect detection algorithm of transmission line based on CenterNet.

PLoS One 2021 29;16(7):e0255135. Epub 2021 Jul 29.

Department of Electrical Engineering, Northeast Electric Power University, Jilin, China.

The reliability of the insulator has directly affected the stable operation of electric power system. The detection of defective insulators has always been an important issue in smart grid systems. However, the traditional transmission line detection method has low accuracy and poor real-time performance. Read More

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GESLM algorithm for detecting causal SNPs in GWAS with multiple phenotypes.

Brief Bioinform 2021 Jul 29. Epub 2021 Jul 29.

Shanghai Jiao Tong University, Department of Bioinformatics and Biostatistics, Shanghai, 200240, China.

With the development of genome-wide association studies, how to gain information from a large scale of data has become an issue of common concern, since traditional methods are not fully developed to solve problems such as identifying loci-to-loci interactions (also known as epistasis). Previous epistatic studies mainly focused on local information with a single outcome (phenotype), while in this paper, we developed a two-stage global search algorithm, Greedy Equivalence Search with Local Modification (GESLM), to implement a global search of directed acyclic graph in order to identify genome-wide epistatic interactions with multiple outcome variables (phenotypes) in a case-control design. GESLM integrates the advantages of score-based methods and constraint-based methods to learn the phenotype-related Bayesian network and is powerful and robust to find the interaction structures that display both genetic associations with phenotypes and gene interactions. Read More

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The search for causality: A comparison of different techniques for causal inference graphs.

Psychol Methods 2021 Jul 29. Epub 2021 Jul 29.

Department of Psychology, University of Amsterdam.

Estimating causal relations between two or more variables is an important topic in psychology. Establishing a causal relation between two variables can help us in answering that question of why something happens. However, using solely observational data are insufficient to get the complete causal picture. Read More

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Adiabatic Molecular Orbital Tracking in Molecular Dynamics.

J Chem Theory Comput 2021 Jul 29. Epub 2021 Jul 29.

Department of Chemistry and Henry Eyring Center for Theoretical Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States.

The ab initio molecular dynamics (AIMD) method provides a computational route for the real-time simulation of reactive chemistry. An often-overlooked capability of this approach is the opportunity to examine the electronic evolution of a chemical system. For AIMD trajectories based on Hartree-Fock or density functional theory methods, the real-time evolution of single-particle molecular orbitals (MOs) can provide detailed insights into the time-dependent electronic structure of molecules. Read More

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[Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].

Sichuan Da Xue Xue Bao Yi Xue Ban 2021 Jul;52(4):698-705

Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.

Objective: To explore the radiomics features of T2 weighted image (T2WI) and readout-segmented echo-planar imaging (RS-EPI) plus difusion-weighted imaging (DWI), to develop an automated mahchine-learning model based on the said radiomics features, and to test the value of this model in predicting preoperative T staging of rectal cancer.

Methods: The study retrospectively reviewed 131 patients who were diagnosed with rectal cancer confirmed by the pathology results of their surgical specimens at West China Hospital of Sichuan University between October, 2017 and December, 2018. In addition, these patients had preoperative rectal MRI. Read More

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A game theoretic power control and spectrum sharing approach using cost dominance in cognitive radio networks.

PeerJ Comput Sci 2021 15;7:e617. Epub 2021 Jul 15.

Department of Electronics, Quaid-i-Azam University, Islamabad, Pakistan.

The wireless networks face challenges in efficient utilization of bandwidth due to paucity of resources and lack of central management, which may result in undesired congestion. The cognitive radio (CR) paradigm can bring efficiency, better utilization of bandwidth, and appropriate management of limited resources. While the CR paradigm is an attractive choice, the CRs selfishly compete to acquire and utilize available bandwidth that may ultimately result in inappropriate power levels, causing degradation in network's Quality of Service (QoS). Read More

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Overcoming the problems caused by collinearity in mixed-effects logistic model: determining the contribution of various types of violence on depression in pregnant women.

BMC Med Res Methodol 2021 Jul 28;21(1):154. Epub 2021 Jul 28.

Health Education and Promotion, Department of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

Background: Collinearity is a common and problematic phenomenon in studies on public health. It leads to inflation in variance of estimator and reduces test power. This phenomenon can occur in any model. Read More

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Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data.

Biom J 2021 Jul 28. Epub 2021 Jul 28.

Department of Statistics, University of Missouri - Columbia, Columbia, MO, USA.

The Cox regression model is a commonly used model in survival analysis. In public health studies, clinical data are often collected from medical service providers of different locations. There are large geographical variations in the covariate effects on survival rates from particular diseases. Read More

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