The development of deep learning methodologies for the analysis of thermal power plant load losses requires a combination of real plant data and data derived from fundamental physics-based process models.For this purpose, a robust integrated power plant thermofluid process model of a complete +600MW coal-fired power plant was developed within the F
Genetically engineered probiotics as catalytic glucose depriver for tumor starvation therapy
Cancer cells predominantly adapt the frequent but less efficient glycolytic process to produce ATPs rather than the highly efficient oxidative phosphorylation pathway.Such a regulated metabolic pattern in cancer cells offers promising therapeutic opportunities to kill tumors by glucose depletion or glycolysis blockade.In addition, to guarantee tumo
Edge of Chaos in Memristor Cellular Nonlinear Networks
Information processing in the brain takes place in a dense network of neurons connected through synapses.The collaborative work between these two components (Synapses and Neurons) allows for basic brain functions such as learning and memorization.The so-called von Neumann Display Cases bottleneck, which limits the information processing capability
Theoretical Mapping of Suicidal Risk Factors During the COVID-19 Pandemic: A Mini-Review
Suicide prevention in times of COVID-19 pandemic has become more challenging than ever due to unusual circumstances.The common risk factors identified with regard to suicidal behavior are fear of COVID-19, economic instability, poor access to healthcare facilities, pre-existing psychiatric disorders, and social disconnect.The studies done so far ha
Dopamine agonists for restless legs syndrome
Restless Legs Syndrome (RLS) is Short homme a common neurological disorder characterised by an uncontrollable urge to move the legs.Dopamine agonists are widely used as first or second-line treatments for RLS due to their efficiency in alleviating the symptoms of RLS and improving sleep quality.Whilst efficacious, dopamine agonists can also cause s