Autism

What Is the most Important for Elite Control: Genetic Background of Patient, Genetic Background of Partner, both or neither? Description of Complete Natural History within a Couple of MSM.

BACKGROUND: We describe a homosexual man who strongly controlled HIV-1 for ten years despite lack of protective genetic background.

Detecting event-related changes in organizational networks using optimized neural network models.

Organizational external behavior changes are caused by the internal structure and interactions. External behaviors are also known as the behavioral events of an organization. Detecting event-related changes in organizational networks could efficiently be used to monitor the dynamics of organizational behaviors. Although many different methods have been used to detect changes in organizational netw...

Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkers.

Although many outstanding achievements in the management of cervical cancer (CxCa) have obtained, it still imposes a major burden which has prompted s...

A deep auto-encoder model for gene expression prediction.

BACKGROUND: Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors incl...

Diagnosis and care of patients with mild haemophilia: practical recommendations for clinical management.

Mild haemophilia is defined by factor levels between 0.05 and 0.40 IU/mL and is characterised by traumatic bleeds. Major issues associated with mild h...

Can Dogs Assist Children with Severe Autism Spectrum Disorder in Complying with Challenging Demands? An Exploratory Experiment with a Live and a Robotic Dog.

OBJECTIVES: Prompted by the need to find effective ways to enhance compliance in children with autism spectrum disorder (ASD), and building on the inc...

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

Floods are among Earth's most common natural hazards, and they cause major economic losses and seriously affect peoples' lives and health. This paper ...

Whole brain white matter connectivity analysis using machine learning: An application to autism.

In this paper, we propose an automated white matter connectivity analysis method for machine learning classification and characterization of white mat...

Automatic recognition of therapy progress among children with autism.

The article presents a research study on recognizing therapy progress among children with autism spectrum disorder. The progress is recognized on the ...

A pilot study for robot appearance preferences among high-functioning individuals with autism spectrum disorder: Implications for therapeutic use.

Recent rapid technological advances have enabled robots to fulfill a variety of human-like functions, leading researchers to propose the use of such t...

PICKLE 2.0: A human protein-protein interaction meta-database employing data integration via genetic information ontology.

It has been acknowledged that source databases recording experimentally supported human protein-protein interactions (PPIs) exhibit limited overlap. T...

Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice.

As a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinica...

Artificial intelligence in peer review: How can evolutionary computation support journal editors?

With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming mor...

Applications of random forest feature selection for fine-scale genetic population assignment.

Genetic population assignment used to inform wildlife management and conservation efforts requires panels of highly informative genetic markers and se...

ASD+M: Automatic parameter tuning in stochastic optimization and on-line learning.

In this paper the classic momentum algorithm for stochastic optimization is considered. A method is introduced that adjusts coefficients for this algo...

Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging datas...

Interaction between SELP genetic polymorphisms with inflammatory cytokine interleukin-6 (IL-6) gene variants on cardiovascular disease in Chinese Han population.

The aim of the study is to investigate the impact of SELP and IL-6 genetic single-nucleotide polymorphisms (SNPs) and its gene-gene interaction on car...

Applying machine learning to identify autistic adults using imitation: An exploratory study.

Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repe...

Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market.

Accurate box office forecasting models are developed by considering competition and word-of-mouth (WOM) effects in addition to screening-related infor...

Using a social robot to teach gestural recognition and production in children with autism spectrum disorders.

While it has been argued that children with autism spectrum disorders are responsive to robot-like toys, very little research has examined the impact ...