Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
An integrated development framework for data-driven model predictive control of thermal zones in buildings. [PDF]
Klanatsky P, Veynandt F, Heschl C.
europepmc +1 more source
Safe Navigation of Bipedal Robots via Koopman Operator-Based Model Predictive Control [PDF]
Jeong-Hwan Kim +3 more
openalex +1 more source
A Time-Space Network Model Based on a Train Diagram for Predicting and Controlling the Traffic Congestion in a Station Caused by an Emergency [PDF]
Zihan Qu, Shiwei He
openalex +1 more source
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado +4 more
wiley +1 more source
Optical Micromanipulations Based on Model Predictive Control of Thermoviscous Flows. [PDF]
Erben E +5 more
europepmc +1 more source
The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells
We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel +8 more
wiley +1 more source
Comparison of metaheuristic algorithms set-point tracking-based weight optimization for model predictive control. [PDF]
Nassereddine K, Turzynski M.
europepmc +1 more source
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source

