AIMC Topic: Sex Characteristics
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[Leptin sexual dimorphism, insulin resistance, and body composition in normal weight prepubescent].
Revista chilena de pediatria
Oct 21, 2020
INTRODUCTION: The prepubertal stage is a critical period of body fat development, in which leptin and insulin re sistance has been associated, however, there are few studies in normal-weight prepubescents. Ob jective: To assess the relationship betwe...
Advancements in sex estimation using the diaphyseal cross-sectional geometric properties of the lower and upper limbs.
International journal of legal medicine
Oct 8, 2020
This paper introduces an automated method for estimating sex from the lower and upper limbs based on diaphyseal CSG properties. The proposed method was developed and evaluated using 389 femurs, 412 tibias, and 404 humeri of adult individuals from a m...
Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania.
BMC biology
Sep 3, 2020
BACKGROUND: Studies of mammalian sexual dimorphism have traditionally involved the measurement of selected dimensions of particular skeletal elements and use of single data-analysis procedures. Consequently, such studies have been limited by a variet...
Using a Rotating 3D LiDAR on a Mobile Robot for Estimation of Person's Body Angle and Gender.
Sensors (Basel, Switzerland)
Jul 16, 2020
We studied the use of a rotating multi-layer 3D Light Detection And Ranging (LiDAR) sensor (specifically the Velodyne HDL-32E) mounted on a social robot for the estimation of features of people around the robot. While LiDARs are often used for robot ...
DESIGN AND DEVELOPMENT OF HUMAN COMPUTER INTERFACE USING ELECTROOCULOGRAM WITH DEEP LEARNING.
Artificial intelligence in medicine
Nov 21, 2019
Today's life assistive devices were playing significant role in our life to communicate with others. In that modality Human Computer Interface (HCI) based Electrooculogram (EOG) playing vital part. By using this method we can able to overcome the con...
Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.
Artificial intelligence in medicine
Nov 19, 2019
Due to growth in population, Individual persons with disabilities are increasing daily. To overcome the disability especially in Locked in State (LIS) due to Spinal Cord Injury (SCI), we planned to design four states moving robot from four imagery ta...
Brain-Computer Interfaces
Wavelet Analysis
Spinal Cord Injuries
Communication Devices for People with Disabilities
Locked-In Syndrome
Electroencephalography
Electrodes
Sex Characteristics
Healthy Volunteers
Computer Simulation
Female
Reproducibility of Results
Aged
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
Humans
Neural Networks, Computer
Algorithms
Machine learning of brain gray matter differentiates sex in a large forensic sample.
Human brain mapping
Nov 15, 2018
Differences between males and females have been extensively documented in biological, psychological, and behavioral domains. Among these, sex differences in the rate and typology of antisocial behavior remains one of the most conspicuous and enduring...
Abnormal Low-Frequency Oscillations Reflect Trait-Like Pain Ratings in Chronic Pain Patients Revealed through a Machine Learning Approach.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 16, 2018
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown to be a sensitive and reliable metric for studying pathological brain mechanisms across various chronic pain patient populations. However, the relati...
Predicting sex from brain rhythms with deep learning.
Scientific reports
Feb 15, 2018
We have excellent skills to extract sex from visual assessment of human faces, but assessing sex from human brain rhythms seems impossible. Using deep convolutional neural networks, with unique potential to find subtle differences in apparent similar...
Neuroanatomical morphometric characterization of sex differences in youth using statistical learning.
NeuroImage
Feb 3, 2018
Exploring neuroanatomical sex differences using a multivariate statistical learning approach can yield insights that cannot be derived with univariate analysis. While gross differences in total brain volume are well-established, uncovering the more s...
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