GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...

Controlling optimally the operating parameters of proton exchange membrane fuel cells (PEMFCs) is promising to improve its performance. A control-oriented model is often needed to favour the control ...

Closely related bacterial species use different strategies to build their cell walls, an international team of scientists led ...

Cancer does not develop overnight. It can take decades for cancer‐promoting changes in the genome to eventually lead to the ...

This paper proposes an improved generalized multiple-vector-based model predictive control (IGMV-MPC) method for permanent magnet synchronous motor (PMSM) drives. Different from finite-control-set MPC ...

Researchers from more than 50 international institutions have launched Open Problems ( a collaborative open-source platform ...

Three-dimensional (3D) imaging is essential for investigating cellular structure and dynamics. Traditional optical methods ...

One of the biggest obstacles in cancer treatment is drug resistance in cancer cells. Conventional efforts have focused on ...

In a comprehensive Genomic Press Interview published in Brain Medicine, Dr. Michael C. Oldham shares his unconventional journey from advertising executive to computational neuroscientist and his ...