37,054 results match your criteria performance error


Deep CNN-Based CAD System for COVID-19 Detection Using Multiple Lung CT Scans.

J Med Internet Res 2021 Apr 3. Epub 2021 Apr 3.

Department of Computer Engineering, Faculty of Electrical and Computer Engineering, Shiraz University, Shiraz, IR.

Background: Due to the COVID-19 pandemic and the imminent collapse of healthcare systems following the excessive consumption of financial, hospital, and medicinal resources, the WHO changed the alert level on the COVID-19 pandemic from high to very high. Meanwhile, the world began to favor less expensive and more precise COVID-19 detection methods.

Objective: Machine vision-based COVID-19 detection methods especially Deep learning as a diagnostic technique in the early stages of the disease have found great importance during the pandemic. Read More

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Comparison of Multiple Linear Regression and Biotic Ligand Models to Predict the Toxicity of Nickel to Aquatic Freshwater Organisms.

Environ Toxicol Chem 2021 Apr 13. Epub 2021 Apr 13.

NiPERA, Durham, NC, 27713.

Toxicity modifying factors can either be modeled empirically with linear regression models or mechanistically, such as with the Biotic Ligand Model (BLM). The primary factors affecting the toxicity of nickel to aquatic organisms are hardness, dissolved organic carbon (DOC), and pH. Interactions between these terms were also considered. Read More

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The XZZX surface code.

Nat Commun 2021 Apr 12;12(1):2172. Epub 2021 Apr 12.

Centre for Engineered Quantum Systems, School of Physics, University of Sydney, Sydney, NSW, Australia.

Performing large calculations with a quantum computer will likely require a fault-tolerant architecture based on quantum error-correcting codes. The challenge is to design practical quantum error-correcting codes that perform well against realistic noise using modest resources. Here we show that a variant of the surface code-the XZZX code-offers remarkable performance for fault-tolerant quantum computation. Read More

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A Hybrid MPC for Constrained Deep Reinforcement Learning applied for Planar Robotic Arm.

ISA Trans 2021 Apr 1. Epub 2021 Apr 1.

Digital Media Department, Faculty of Computers and Information Technology, Future University, Egypt. Electronic address:

Recently, deep reinforcement learning techniques have achieved tangible results for learning high dimensional control tasks. Due to the trial and error interaction, between the autonomous agent and the environment, the learning phase is unconstrained and limited to the simulator. Such exploration has an additional drawback of consuming unnecessary samples at the beginning of the learning process. Read More

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Improved characterisation of clinical text through ontology-based vocabulary expansion.

J Biomed Semantics 2021 Apr 12;12(1). Epub 2021 Apr 12.

Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.

Background: Biomedical ontologies contain a wealth of metadata that constitutes a fundamental infrastructural resource for text mining. For several reasons, redundancies exist in the ontology ecosystem, which lead to the same entities being described by several concepts in the same or similar contexts across several ontologies. While these concepts describe the same entities, they contain different sets of complementary metadata. Read More

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Fast non-iterative calculation of solvation energies for water and non-aqueous solvents.

J Comput Chem 2021 Apr 12. Epub 2021 Apr 12.

Institut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, Girona, Spain.

We propose an efficient and accurate non-iterative method, dubbed uESE, for calculating solvation free energies. Apart from a COSMO-like electrostatic term, the model takes into account non-electrostatic contributions, which depend on atomic surfaces, induced surface charge densities, and the molecular volume. uESE is tested on 35 polar and 57 non-polar solvents. Read More

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Experimental investigation on dispersing graphene-oxide in biodiesel/diesel/ higher alcohol blends on diesel engine using Response Surface Methodology.

Environ Technol 2021 Apr 11:1-27. Epub 2021 Apr 11.

Ph.D. Scholar, Department of mechanical engineering, National Institute of Technology, Agartala

Lower alcohols have long been the figureheads of diesel/biodiesel additives in characterizing renewable fuels. Next-generation alcohol like n-octanol occupied the reified position due to their better fuel properties. In this paper, combustion, performance and, emission of different graphene-oxide nanoparticles (nanoGO) added jatropha biodiesel, n-octanol and petrodiesel blends are investigated in a 4-stroke DI diesel engine. Read More

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Improving Incident Reporting in a Hospital-Based Radiation Oncology Department: The Impact of a Customized Crew Resource Training and Event Reporting Intervention.

Cureus 2021 Apr 5;13(4):e14298. Epub 2021 Apr 5.

Curriculum and Accreditation, Emory University Nell Hodgson Woodruff School of Nursing, Atlanta, USA.

Background Radiation oncology (RO) is a high-risk environment with an increased potential for error due to the complex automated and manual interactions between heterogeneous teams and advanced technologies. Errors involving procedural deviations-- can adversely impact patient morbidity and mortality. Under-reporting of errors is common in healthcare for reasons such as fear of retribution, liability, embarrassment, etc. Read More

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Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm.

J Adv Res 2021 Mar 17;29:147-157. Epub 2020 Oct 17.

Department of Mathematics, Faculty of Science, Sohag University, Sohag, Egypt.

Introduction: Quantum cloning operation, started with no-go theorem which proved that there is no capability to perform a cloning operation on an unknown quantum state, however, a number of trials proved that we can make approximate quantum state cloning that is still with some errors.

Objectives: To the best of our knowledge, this paper is the first of its kind to attempt using meta-heuristic algorithm such as Adaptive Guided Differential Evolution (AGDE), to tackle the problem of quantum cloning circuit parameters to enhance the cloning fidelity.

Methods: To investigate the effectiveness of the AGDE, the extensive experiments have demonstrated that the AGDE can achieve outstanding performance compared to other well-known meta-heuristics including; Enhanced LSHADE-SPACMA Algorithm (ELSHADE-SPACMA), Enhanced Differential Evolution algorithm with novel control parameter adaptation (PaDE), Improved Multi-operator Differential Evolution Algorithm (IMODE), Parameters with adaptive learning mechanism (PALM), QUasi-Affine TRansformation Evolutionary algorithm (QUATRE), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Cuckoo Search (CS), Bat-inspired Algorithm (BA), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA). Read More

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Modeling the demography of species providing extended parental care: A capture-recapture multievent model with a case study on polar bears ().

Ecol Evol 2021 Apr 10;11(7):3380-3392. Epub 2021 Mar 10.

CEFE Univ Montpellier CNRS EPHE-PSL University IRD Univ Paul Valéry Montpellier 3 Montpellier France.

In species providing extended parental care, one or both parents care for altricial young over a period including more than one breeding season. We expect large parental investment and long-term dependency within family units to cause high variability in life trajectories among individuals with complex consequences at the population level. So far, models for estimating demographic parameters in free-ranging animal populations mostly ignore extended parental care, thereby limiting our understanding of its consequences on parents and offspring life histories. Read More

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Impact of Distracting Emotional Stimuli on the Characteristics of Movement Performance: A Kinematic Study.

Front Psychol 2021 25;12:642643. Epub 2021 Mar 25.

Brain and Cognitive Neuroscience Research Center, Liaoning Normal University, Dalian, China.

It is well-documented that emotional stimuli impact both the cognitive and motor aspects of "goal-directed" behavior. However, how emotional distractors impact motor performance remains unclear. This study aimed to characterize how movement quality was impacted during emotional distractors. Read More

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The Effects of a 10-Week Neuromuscular Training on Postural Control in Elite Youth Competitive Ballroom Dancers: A Randomized Controlled Trial.

Front Physiol 2021 25;12:636209. Epub 2021 Mar 25.

Arts School, Beijing Sport University, Beijing, China.

The purpose of this randomized controlled trial was to evaluate the efficacy of a 10-week neuromuscular training (NMT) program on the postural control of elite youth competitive ballroom dancers. Forty-two dancers (21 couples) were randomly assigned to either the NMT group ( = 22) or the control group (CG; = 20). Participants in NMT underwent a three-sessions-per-week NMT program for 10 weeks. Read More

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Development of a physical mobility prediction model to guide prosthetic rehabilitation.

J Dev Behav Pediatr 2021 Apr 5. Epub 2021 Apr 5.

Department of Physical Medicine and Rehabilitation, Physical Therapy Program, University of Colorado, Aurora, CO Department of Clinical and Scientific Affairs, Hanger Clinic, Austin, TX Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, CA Division of Geriatrics, University of California, San Francisco, San Francisco, CA Department of Geriatrics, Geriatric Research, Education, and Clinical Center, VA Eastern Colorado Healthcare System, Aurora, CO Department of Physical Therapy and Rehabilitation Science, University of Montana, Missoula, MT.

Background: Prosthetic rehabilitation decisions depend on estimating a patient's mobility potential. However, no validated prediction models of mobility outcomes exist for people with lower-limb amputation (LLA).

Objectives: To develop and test predictions for self-reported mobility after LLA, using the Prosthetic Limb Users Survey of Mobility (PLUS-M). Read More

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Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction.

Talanta 2021 Jul 11;229:122303. Epub 2021 Mar 11.

Farm Technology Group, Wageningen University & Research, Wageningen, the Netherlands.

Chemometrics pre-processing of spectral data is widely performed to enhance the predictive performance of near-infrared (NIR) models related to fresh fruit quality. Pre-processing approaches in the domain of NIR data analysis are used to remove the scattering effects, thus, enhancing the absorption components related to the chemical properties. However, in the case of fresh fruit, both the scattering and absorption properties are of key interest as they jointly explain the physicochemical state of a fruit. Read More

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Individual variation underlying brain age estimates in typical development.

Neuroimage 2021 Apr 7:118036. Epub 2021 Apr 7.

Developmental Imaging, Murdoch Children's Research Institute; Department of Paediatrics, University of Melbourne.

Typical brain development follows a protracted trajectory throughout childhood and adolescence. Deviations from typical growth trajectories have been implicated in neurodevelopmental and psychiatric disorders. Recently, the use of machine learning algorithms to model age as a function of structural or functional brain properties has been used to examine advanced or delayed brain maturation in healthy and clinical populations. Read More

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Comparison of non-exercise cardiorespiratory fitness prediction equations in apparently healthy adults.

Eur J Prev Cardiol 2021 Apr;28(2):142-148

Fisher Institute of Health and Well-Being, Ball State University, USA.

Aims: A recent scientific statement suggests clinicians should routinely assess cardiorespiratory fitness using at least non-exercise prediction equations. However, no study has comprehensively compared the many non-exercise cardiorespiratory fitness prediction equations to directly-measured cardiorespiratory fitness using data from a single cohort. Our purpose was to compare the accuracy of non-exercise prediction equations to directly-measured cardiorespiratory fitness and evaluate their ability to classify an individual's cardiorespiratory fitness. Read More

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A Multicenter Evaluation of a Point-of-Care Blood Glucose Meter System in Critically Ill Patients.

J Appl Lab Med 2021 Apr 10. Epub 2021 Apr 10.

UC Davis Health, Sacramento, CA, USA.

Background: Our purpose was to evaluate the performance of the ACCU-CHEK® Inform II blood glucose monitoring system (Roche Diagnostics GmbH) compared with the perchloric acid hexokinase (PCA-HK) comparator method on the cobas® 6000 analyzer (Roche Diagnostics International Ltd) in critically ill patients.

Methods: Overall, 476 arterial (376 pediatric/adult, 100 neonate), 375 venous, and 100 neonatal heel-stick whole-blood samples were collected and evaluated from critical care settings at 10 US hospitals, including the emergency department, medical and surgical intensive care units (ICUs), and neonatal and pediatric ICUs. The ACCU-CHEK Inform II system was evaluated at 2 cutoff boundaries: boundary 1 was ≥95% of results within ±12 mg/dL of the reference (samples with blood glucose <75 mg/dL) or ±12% of the reference (glucose ≥75 mg/dL), and boundary 2 was ≥98% of results within ±15 mg/dL or ±15% of the reference. Read More

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AI-powered effective lens position prediction improves the accuracy of existing lens formulas.

Br J Ophthalmol 2021 Apr 9. Epub 2021 Apr 9.

Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA

Aims: To assess whether incorporating a machine learning (ML) method for accurate prediction of postoperative anterior chamber depth (ACD) improves the refraction prediction performance of existing intraocular lens (IOL) calculation formulas.

Methods: A dataset of 4806 patients with cataract was gathered at the Kellogg Eye Center, University of Michigan, and split into a training set (80% of patients, 5761 eyes) and a testing set (20% of patients, 961 eyes). A previously developed ML-based method was used to predict the postoperative ACD based on preoperative biometry. Read More

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Improving protein domain classification for third-generation sequencing reads using deep learning.

BMC Genomics 2021 Apr 9;22(1):251. Epub 2021 Apr 9.

Electrical Engineering, City University of Hong Kong, Hong Kong, People's Republic of China.

Background: With the development of third-generation sequencing (TGS) technologies, people are able to obtain DNA sequences with lengths from 10s to 100s of kb. These long reads allow protein domain annotation without assembly, thus can produce important insights into the biological functions of the underlying data. However, the high error rate in TGS data raises a new challenge to established domain analysis pipelines. Read More

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Generalizing neural signal-to-text brain-computer interfaces.

Biomed Phys Eng Express 2021 Apr 9. Epub 2021 Apr 9.

Biomedical Engineering Department, University of California - Los Angeles, 7523 Boelter Hall, USA, Los Angeles, California, 90095, UNITED STATES.

Objective: Brain-Computer Interfaces (BCI) may help patients with faltering communication abilities due to neurodegenerative diseases produce text or speech by direct neural processing. However, their practical realization has proven difficult due to limitations in speed, accuracy, and generalizability of existing interfaces. The goal of this study is to evaluate the BCI performance of a robust speech decoding system that translates neural signals evoked by speech to a textual output. Read More

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Midfrontal theta as moderator between beta oscillations and precision control.

Neuroimage 2021 Apr 6:118022. Epub 2021 Apr 6.

Department of Sensorimotor Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Control of movements using visual information is crucial for many daily activities, and such visuomotor control has been revealed to be supported by alpha and beta cortical oscillations. However, it has been remained to be unclear how midfrontal theta and occipital gamma oscillations, which are associated with high-level cognitive functions, would be involved in this process to facilitate performance. Here we addressed this fundamental open question in healthy young adults by measuring high-density cortical activity during a precision force-matching task. Read More

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On the exact performance analysis of Molecular Communication via Diffusion for Internet of Bio-Nano Things.

IEEE Trans Nanobioscience 2021 Apr 9;PP. Epub 2021 Apr 9.

Internet of Bio-Nano Things, (IoBNT), is an ecosystem, where integration of micro and nano scale devices designed via synthetic biology communicates information. One of the communication concepts adopted in IoBNT is molecular communications via diffusion (MCvD). Inter-symbol interference (ISI) is a major cause of the performance degradation in MCvD of molecules. Read More

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Force-Sensitive Mat for Vertical Jump Measurement to Assess Lower Limb Strength: Validity and Reliability Study.

JMIR Mhealth Uhealth 2021 Apr 9;9(4):e27336. Epub 2021 Apr 9.

Electrical/Electronics Engineering and Communications Department, EUP Teruel, Universidad de Zaragoza, Teruel, Spain.

Background: Vertical jump height is widely used in health care and sports fields to assess muscle strength and power from lower limb muscle groups. Different approaches have been proposed for vertical jump height measurement. Some commonly used approaches need no sensor at all; however, these methods tend to overestimate the height reached by the subjects. Read More

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[Predictive performance of Smart Dose, PharmVan and JPKD on Vancomycin plasma concentration].

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue 2021 Mar;33(3):263-268

Department of Pharmacy, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.

Objective: To evaluate the predictive performance of the individualized drug delivery decision-making system including Smart Dose, PharmVan and JPKD on predicting the Vancomycin plasma concentration and to analyze the related factors affecting the predictive performance.

Methods: The clinical data of patients who were treated with Vancomycin and received therapeutic drug monitoring (TDM) admitted to the First Affiliated Hospital of Wenzhou Medical University from January 2018 to July 2020 were retrospectively collected. Smart Dose and PharmVan were used to predict the plasma concentration of Vancomycin of the initial regimen. Read More

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Differential white blood cell counts in rabbits: a comparison of the Advia 2120 and a manual method.

J Vet Diagn Invest 2021 Apr 9:10406387211007877. Epub 2021 Apr 9.

Easter Bush Pathology, Royal (Dick) School of Veterinary Studies and The Roslin Institute, University of Edinburgh, Roslin, UK.

We evaluated the performance of the Advia 2120 (Siemens) differential leukocyte count (A-Diff) compared to the manual method (M-Diff) in rabbits. EDTA-anticoagulated blood samples collected for diagnostic purposes were analyzed within 6 h of collection. The M-Diff was performed blindly by 2 observers on blood smears by counting 200 cells. Read More

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