CAG and GGN repeat polymorphisms in the androgen receptor gene of a Chilean pediatric cohort with idiopathic inguinal cryptorchidism.

Background: Cryptorchidism is one of the most common congenital disorders in boys and it is associated with a higher risk of sub-fertility and testicular cancer. Testicular descent occurs during embryo-fetal development in two phases, transabdominal and inguino-scrotal. In the latter process, androgens play a leading role.

Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.

This article introduces a systematic review on arousal classification based on electrodermal activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six scientific databases, fifty-nine were finally selected according to various criteria established. The systematic review has made it possible to analyse all the steps to which the EDA signals are subjected: acquisition, pre-processing, processing and feature extraction.

Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.

Early detection of stress condition is beneficial to prevent long-term mental illness like depression and anxiety. This paper introduces an accurate identification of stress/calm condition from electrodermal activity (EDA) signals. The acquisition of EDA signals from a commercial wearable as well as their storage and processing are presented.

Correction to: Molecular characterization of the Taenia solium Tso31 antigen and homologous of other Taenia species from Peru.

The original version of this article contained a mistake.

Molecular characterization of the Taenia solium Tso31 antigen and homologous of other Taenia species from Peru.

Several studies have been performed to determine specific antigens for the diagnosis of tapeworms. One of these antigens is Tso31, which is used to differentiate Taenia solium and Taenia saginata in human feces. The aim of the present work was the molecular characterization of this protein in different tapeworm specimens collected in Peru: T.

A Finite State Machine Approach to Algorithmic Lateral Inhibition for Real-Time Motion Detection .

Many researchers have explored the relationship between recurrent neural networks and finite state machines. Finite state machines constitute the best-characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving. The neurally-inspired lateral inhibition method, and its application to motion detection tasks, have been successfully implemented in recent years.

Drug Resistance of Mycobacterium tuberculosis Complex in a Rural Setting, Angola.

We found high prevalence rates of multidrug-resistant tuberculosis among retreatment patients (71.1%) and persons with new cases (8.0%) in Angola.

Electrodermal Activity Sensor for Classification of Calm/Distress Condition.

This article introduces a new and unobtrusive wearable monitoring device based on electrodermal activity (EDA) to be used in health-related computing systems. This paper introduces the description of the wearable device capable of acquiring the EDA of a subject in order to detect his/her calm/distress condition from the acquired physiological signals. The lightweight wearable device is placed in the wrist of the subject to allow continuous physiological measurements.

Smart environment architecture for emotion detection and regulation.

This paper introduces an architecture as a proof-of-concept for emotion detection and regulation in smart health environments. The aim of the proposal is to detect the patient's emotional state by analysing his/her physiological signals, facial expression and behaviour. Then, the system provides the best-tailored actions in the environment to regulate these emotions towards a positive mood when possible.

Thermal-infrared pedestrian ROI extraction through thermal and motion information fusion.

This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion.

Cystatin C is differentially involved in multiple system atrophy phenotypes.

Aims: As cystatin C (CysC) is involved in some forms of neurodegeneration, we investigated the possible relationship between CysC and multiple system atrophy (MSA), including its parkinsonian (MSAp) and cerebellar (MSAc) phenotypes.

Methods: Cystatin C gene (CST3) haplotypes were determined by PCR followed by KspI digestion in 50 MSA patients and 108 controls. CST3 and cathepsins B, D and L1 mRNA levels were studied in frozen post-mortem caudate nucleus and cerebellar samples of eight MSAp, four MSAc and 18 control brains and analysed by the ΔΔCt method.

Aneurysmal degeneration of a saphenous vein graft following the repair of a popliteal aneurysm: case report and literature review.

True aneurysm formation in arterialized autologous veins is an unusual complication. A saccular aneurysmal degeneration of 53 mm (maximal diameter) of a saphenous vein graft inserted for repair of a popliteal aneurysm, four years after implantation, is reported. The patient (with prior history of abdominal aortic aneurysm) had been initially treated through a posterior approach.

Prognostic factors of coronary heart disease in asymptomatic diabetics for inclusion on the kidney transplant waiting list. Screening with coronary angiography.

Introduction And Objectives: Coronary artery disease is a major cause of morbidity and mortality in diabetic kidney transplant candidates. The high prevalence of coronary disease in asymptomatic patients creates the need for major coronary artery disease screening. Our goal was to determine the prevalence and prognostic factors associated with coronary disease in this patient group.

Real-time accumulative computation motion detectors.

The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines. Indeed, finite state machines constitute the best characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving.

STR data for nine Y-chromosomal loci in Guinea Equatorial (central Africa).

Allele and haplotype frequencies for nine Y-specific STR loci (DYS19, DYS389-I, DYS389-II, DYS390, DYS391, DYS393, DYS434, DYS437, and DYS439) were obtained from a sample of 57 males from Guinea Equatorial.