Pediatrics

[Effects of Soil Microbial Diversity on the Phosphate Fraction in the Rhizosphere of in the Yeyahu Wetland in Beijing, China].

In this research, microorganisms in rhizosphere/non-rhizosphere soils of in the Yeyahu Wetland were studied. A sequential extraction procedure was used to analyze the phosphorus (P) forms in the rhizosphere/non-rhizosphere soil with a variety of plant growth conditions (April, July, October). The soil bacteria community structure and the diversity was measured using the high-throughput of 16S rRN...

Infant Central Nervous System Aspergillosis with First-episode of Intracranial Hemorrhage: A case report.

RATIONALE: Central nervous system (CNS) aspergillosis has the characteristics of multifocality, polymorphism, and coexistence of pathological types, and missed diagnosis and misdiagnosis frequently occur at the initial stage. The thesis reports a rare case of infant infection of CNS aspergillosis with the first-episode of intracranial hemorrhage.

Incidence and outcomes of neonatal acute kidney injury (AWAKEN): a multicentre, multinational, observational cohort study.

BACKGROUND: Single-center studies suggest that neonatal acute kidney injury (AKI) is associated with poor outcomes. However, inferences regarding the ...

The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We soug...

Impact of Clinical Parameters in the Intrahost Evolution of HIV-1 Subtype B in Pediatric Patients: A Machine Learning Approach.

Determining the factors modulating the genetic diversity of HIV-1 populations is essential to understand viral evolution. This study analyzes the rela...

[Evaluation of upper airway dimension among adolescent patients with different sagittal skeletal patterns by cone-beam CT].

PURPOSE: To analyze whether upper airway dimensions were influenced by different sagittal skeletal pattern among adolescent patients.

Learning the Personalized Intransitive Preferences of Images.

Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images...

[The application of artificial neural network on the assessment of lexical tone production of pediatric cochlear implant users].

The present study was carried out to explore the tone production ability of the Mandarin-speaking children with cochlear implants (CI) by using an ar...

A predictive model to evaluate the impact of the cooling profile on growth of psychrotrophic bacteria in raw milk from conventional and robotic milking.

This Research Communication explores the usefulness of predictive modelling to explain bacterial behaviour during cooling. A simple dynamic lag phase ...

Application of SeDeM expert systems in preformulation studies of pediatric ibuprofen ODT tablets.

Pediatric, ibuprofen containing orodispersible tablets (ODTs) were prepared using the SeDeM expert system methodology. In order to facilitate formulat...

Robot-assisted procedures in pediatric neurosurgery.

OBJECTIVE During the last 3 decades, robotic technology has rapidly spread across several surgical fields due to the continuous evolution of its versa...

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen recepto...

An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based ca...

TRACX2: a connectionist autoencoder using graded chunks to model infant visual statistical learning.

Even newborn infants are able to extract structure from a stream of sensory inputs; yet how this is achieved remains largely a mystery. We present a c...

Learning-based deformable image registration for infant MR images in the first year of life.

PURPOSE: Many brain development studies have been devoted to investigate dynamic structural and functional changes in the first year of life. To quant...

A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods.

This paper proposes a decision support system for screening pediatric cardiac disease in primary healthcare centres relying on the heart sound time se...

Development and Evaluation of a Case-Based Retrieval Service.

Identifying similar patients might greatly facilitate the treatment of a given patient, enabling to observe the response and outcome to a particular t...

Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network.

This paper presents results of a study on the applicability of the intelligent phonocardiography in discriminating between Ventricular Spetal Defect (...

Development of a Risk Assessment Assistance Tool for Robotic Care Devices.

Aiming to eliminate a labor shortage caused by the aging of society, many kinds of service robots are under development. Nursing care for the elderly ...

6-Gingerol inhibits hair cycle via induction of MMP2 and MMP9 expression.

6-Gingerol is the major active constituent of ginger. In the current study, we aimed to investigate the mechanisms underlying the effects of 6-Gingero...