Agomelatine as Antidepressant Treatment in Elderly Patients With Previous Hyponatremia Due To SSRI Use: Case Series.

Objective: To evaluate agomelatine treatment in elderly patients with major depressive disorder (MDD) who developed hyponatremia while using selective serotonin receptor inhibitors (SSRIs).

Methods: Patients (60 years or older) with hyponatremia after SSRI treatment for MDD were changed to agomelatine 50 mg/day during one month to observe sodium levels during the treatment and change in depressive symptoms. Montgomery-Asberg Depression Rating Scale (MADRS) and the Clinical Global Impression Scale (CGI) of severity were used before and after treatment with agomelatine.

Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images.

In recent years, the use of deep learning-based models for developing advanced healthcare systems has been growing due to the results they can achieve. However, the majority of the proposed deep learning-models largely use convolutional and pooling operations, causing a loss in valuable data and focusing on local information. In this paper, we propose a deep learning-based approach that uses global and local features which are of importance in the medical image segmentation process.

A Saliency-Based Sparse Representation Method for Point Cloud Simplification.

High-resolution 3D scanning devices produce high-density point clouds, which require a large capacity of storage and time-consuming processing algorithms. In order to reduce both needs, it is common to apply surface simplification algorithms as a preprocessing stage. The goal of point cloud simplification algorithms is to reduce the volume of data while preserving the most relevant features of the original point cloud.

Sparse Regularization-Based Approach for Point Cloud Denoising and Sharp Features Enhancement.

Denoising the point cloud is fundamental for reconstructing high quality surfaces with details in order to eliminate noise and outliers in the 3D scanning process. The challenges for a denoising algorithm are noise reduction and sharp features preservation. In this paper, we present a new model to reconstruct and smooth point clouds that combine L1-median filtering with sparse L1 regularization for both denoising the normal vectors and updating the position of the points to preserve sharp features in the point cloud.

[Neural control of the peripheral circulation and blood pressure].

In the XIX century Claude Bernard discovered the action of the nervous system on the peripheral circulation. In the first half of the XX century Ewald Hering discovered the baro-receptor and the reflex control of the heart rate and blood pressure. Cowley and Guyton demonstrated that sino-aortic denervation induces persistent changes in the blood pressure in the dog.