Infection dynamics of subtype H9N2 low pathogenic avian influenza a virus in turkeys.

While mammals can be infected by influenza A virus either sporadically or with well adapted lineages, aquatic birds are the natural reservoir of the pathogen. So far most of the knowledge on influenza virus dynamics was however gained on mammalian models. In this study, we infected turkeys using a low pathogenic avian influenza virus and determined the infection dynamics with a target-cell limited model.

Understanding Treatment Needs of Youth in a Remote Intensive Outpatient Program Through Solicited Journals: Quality Improvement Analysis.

Background: Youth experiencing high-acuity mental health symptoms often require highly restrictive levels of care (ie, inpatient care) that removes them from the relationships and activities essential for healthy development. An alternative treatment gaining evidence in its ability to support this population is the intensive outpatient programming (IOP) model. Understanding the experiences of adolescents and young adults during IOP treatment episodes may enhance clinical responsiveness to changing needs and protect against transfer to inpatient care.

Treating Depression in Adolescents and Young Adults Using Remote Intensive Outpatient Programs: Quality Improvement Assessment.

Background: Youth and young adults face barriers to mental health care, including a shortage of programs that accept youth and a lack of developmentally sensitive programming among those that do. This shortage, along with the associated geographically limited options, has contributed to the health disparities experienced by youth in general and by those with higher acuity mental health needs in particular. Although intensive outpatient programs can be an effective option for youth with more complex mental health needs, place-based intensive outpatient programming locations are still limited to clients who have the ability to travel to the clinical setting several days per week.

Outlier Vehicle Trajectory Detection Using Deep Autoencoders in Santiago, Chile.

In the last decade, a large amount of data from vehicle location sensors has been generated due to the massification of GPS systems to track them. This is because these sensors usually include multiple variables such as position, speed, angular position of the vehicle, etc., and, furthermore, they are also usually recorded in very short time intervals.

Co-Training for Visual Object Recognition Based on Self-Supervised Models Using a Cross-Entropy Regularization.

Automatic recognition of visual objects using a deep learning approach has been successfully applied to multiple areas. However, deep learning techniques require a large amount of labeled data, which is usually expensive to obtain. An alternative is to use semi-supervised models, such as co-training, where multiple complementary views are combined using a small amount of labeled data.