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American Sign Language Alphabet Recognition Using a Neuromorphic Sensor and an Artificial Neural Network.

Sensors (Basel, Switzerland) Sep 22, 2017
This paper reports the design and analysis of an American Sign Language (ASL) alphabet translation system implemented in hardware using a Field-Programmable Gate Array. The system process consists of three stages, the first being the communication wi...
Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Software Sign Language United States
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Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models.

Scientific reports Sep 15, 2017
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated ...
Bayes Theorem Datasets as Topic Survival Deep Learning Genomics Treatment Outcome Humans Software Neural Networks, Computer Prognosis Neoplasms
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Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency.

AJR. American journal of roentgenology Sep 12, 2017
OBJECTIVE: The purpose of this study is to evaluate the accuracy and efficiency of a new automatic software system for bone age assessment and to validate its feasibility in clinical practice.
Humans Feasibility Studies Neural Networks, Computer Age Determination by Skeleton Software Retrospective Studies Adolescent Female Child, Preschool Male Child
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Analysis of deep learning methods for blind protein contact prediction in CASP12.

Proteins Sep 6, 2017
Here we present the results of protein contact prediction achieved in CASP12 by our RaptorX-Contact server, which is an early implementation of our deep learning method for contact prediction. On a set of 38 free-modeling target domains with a median...
Crystallography, X-Ray Protein Conformation Protein Folding Computational Biology Proteins Models, Molecular Humans Neural Networks, Computer Software Algorithms Deep Learning
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MIT-Skywalker: considerations on the Design of a Body Weight Support System.

Journal of neuroengineering and rehabilitation Sep 6, 2017
BACKGROUND: To provide body weight support during walking and balance training, one can employ two distinct embodiments: support through a harness hanging from an overhead system or support through a saddle/seat type. This paper presents a comparison...
Walking Speed Orthotic Devices Bicycling Gait Disorders, Neurologic Body Weight Healthy Volunteers Nervous System Diseases Male Robotics Walking Humans Adult Software Biomechanical Phenomena Female
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Ontology-based specification, identification and analysis of perioperative risks.

Journal of biomedical semantics Sep 6, 2017
BACKGROUND: Medical personnel in hospitals often works under great physical and mental strain. In medical decision-making, errors can never be completely ruled out. Several studies have shown that between 50 and 60% of adverse events could have been ...
Risk Assessment Biological Ontologies Perioperative Period Humans Software
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Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs).

ACS combinatorial science Sep 5, 2017
Using molecular simulation for adsorbent screening is computationally expensive and thus prohibitive to materials discovery. Machine learning (ML) algorithms trained on fundamental material properties can potentially provide quick and accurate method...
Computer Simulation Metals Adsorption Organometallic Compounds Machine Learning Software Algorithms
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Gene Ontology-Based Analysis of Zebrafish Omics Data Using the Web Tool Comparative Gene Ontology.

Zebrafish Sep 5, 2017
Gene Ontology (GO) analysis is a powerful tool in systems biology, which uses a defined nomenclature to annotate genes/proteins within three categories: "Molecular Function," "Biological Process," and "Cellular Component." GO analysis can assist in r...
Software Animals Gene Expression Profiling Zebrafish Gene Ontology Genomics Proteomics Internet
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EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites.

Molecules (Basel, Switzerland) Sep 5, 2017
Protein pupylation is a type of post-translation modification, which plays a crucial role in cellular function of bacterial organisms in prokaryotes. To have a better insight of the mechanisms underlying pupylation an initial, but important, step is ...
Machine Learning Databases, Protein Computational Biology Protein Processing, Post-Translational Proteins Software Algorithms Protein Binding
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Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant.

PloS one Sep 5, 2017
Today, different implant designs exist in the market; however, there is not a clear understanding of which are the best implant design parameters to achieve mechanical optimal conditions. Therefore, the aim of this project was to investigate if the g...
Hip Prosthesis Decision Making Arthroplasty, Replacement, Hip Algorithms Prosthesis Design Humans Weight-Bearing Femur Computer Simulation Machine Learning Stress, Mechanical Arthroplasty, Replacement Finite Element Analysis Software Imaging, Three-Dimensional
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