An Approach to Develop Digital Twins in Industry.

The industry is currently undergoing a digital revolution driven by the integration of several enabling technologies. These include automation, robotics, cloud computing, industrial cybersecurity, systems integration, digital twins, etc. Of particular note is the increasing use of digital twins, which offer significant added value by providing realistic and fully functional process simulations.

Feature Extraction from Building Submetering Networks Using Deep Learning.

The understanding of the nature and structure of energy use in large buildings is vital for defining novel energy and climate change strategies. The advances on metering technology and low-cost devices make it possible to form a submetering network, which measures the main supply and other intermediate points providing information of the behavior of different areas. However, an analysis by means of classical techniques can lead to wrong conclusions if the load is not balanced.

A Deep Learning Approach for Fusing Sensor Data from Screw Compressors.

Chillers are commonly used for thermal regulation to maintain indoor comfort in medium and large buildings. However, inefficiencies in this process produce significant losses, and optimization tasks are limited because of accessibility to the system. Data analysis techniques transform measurements coming from several sensors into useful information.

Treatment of Knee Osteoarthritis With Allogeneic Bone Marrow Mesenchymal Stem Cells: A Randomized Controlled Trial.

Background: Osteoarthritis is the most prevalent joint disease and a common cause of joint pain, functional loss, and disability. Conventional treatments demonstrate only modest clinical benefits without lesion reversal. Autologous mesenchymal stromal cell (MSC) treatments have shown feasibility, safety, and strong indications for clinical efficacy.

Massive coronary subclavian steal syndrome.

Coronary subclavian steal syndrome is an unusual cause of angina, secondary to decreased or reversed flow in patients with patent "in situ" internal mammary-to-coronary artery graft. The most frequent cause of coronary subclavian steal syndrome is ipsilateral subclavian artery stenosis. We present a 60-year-old man with cerebrovascular and peripheral artery disease and a documented massive coronary subclavian steal syndrome, which impaired cardiopulmonary bypass weaning after multiple coronary artery bypass with double T-mammary artery graft.