Results 171 to 180 of about 330,051 (267)
Chitin‐chitosan cryogels with degrees of N‐acetylation from 12.2% to 71.4% are fabricated by dissolution, coagulation and lyophilization for the sequestration of heavy metals from water. Colorimetry and differential pulse voltammetry showed controlled adsorption and desorption capacities for As5+, Co2+ and Cu2+, making this material attractive for ...
Marta García‐Castrillo +4 more
wiley +1 more source
Macropa-Based 225Ac-Labeled RGD Peptides for Targeted Alpha Therapy. [PDF]
Echigo H +11 more
europepmc +1 more source
Nano‐TiO2 and carboxylated cellulose nanofibers jointly regulate hydration‐product distribution in cementitious composites. Improved microstructural continuity and refined pore structure accompany enhanced strength and surface stability without a substantial increase in overall hydration.
Kailun Chen +8 more
wiley +1 more source
Design and implementation of a Wireless Power Transfer with double-sided LCC compensation for a farming robot. [PDF]
Sudhartio A +4 more
europepmc +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
Numerical Modeling of Photothermal Self‐Excited Composite Oscillators
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu +6 more
wiley +1 more source
Acentric artificial intelligence with deep feature engineering for early heart disease risk prediction. [PDF]
Saranraj J, Babu D V.
europepmc +1 more source

