AI-Integrated autonomous robotics for solar panel cleaning and predictive maintenance using drone and ground-based systems. [PDF]
Kishor I, Mamodiya U, Patil V, Naik N.
europepmc +1 more source
Better strategic procurement for maintaining schools: An Australian context [PDF]
Smith, Jim, Wood, Brian
core
Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel +8 more
wiley +1 more source
Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data. [PDF]
Li W, Li T.
europepmc +1 more source
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors. [PDF]
Aminzadeh A +6 more
europepmc +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
K-Nearest Neighbors for Anomaly Detection and Predictive Maintenance in Water Pumping Systems. [PDF]
Silva JPSD, Maitelli AL.
europepmc +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Evaluation of predictive maintenance efficiency with the comparison of machine learning models in machining production process in brake industry. [PDF]
Aydın C, Evrentuğ B.
europepmc +1 more source

