Results 191 to 200 of about 4,262,121 (352)
Mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) are a promising therapeutic tool for regenerative medicine. However, the field lacks a reproducible high‐yield production method to answer the quantities needed for clinical translation.
Christophe Wong +7 more
wiley +1 more source
Deep learning for construction waste detection using ConvNeXt V2 EMA attention and WIoU v3 loss. [PDF]
Han D +7 more
europepmc +1 more source
With the rapid growth of urbanization, construction projects have surged, increasing construction waste (CW). Effective construction waste management (CWM) is crucial to mitigate the adverse effects of CW on the environment, society, and the economy ...
Panuwatwanich, K, Matsumoto, K, Min, V
core +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Analyzing barriers to construction waste minimization and circular economy culture in Building projects using fuzzy DEMATEL. [PDF]
Shahid MU, Ali M.
europepmc +1 more source
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala +5 more
wiley +1 more source
Making Use of Construction Waste in Soil-Cement Mixtures: Granulometric Correction of Clay Soil. [PDF]
Briskievicz JF +2 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Performance Study on Preparation of Mine Backfill Materials Using Industrial Solid Waste in Combination with Construction Waste. [PDF]
Cai Y +7 more
europepmc +1 more source

