Results 31 to 40 of about 318 (139)
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers
Solution blow spinning has emerged as a safe and scalable technique for fabricating thermoresponsive PNIPAM fibers. The influence of key parameters on jet stability and fiber uniformity is determined through both rheological analysis and statistical process optimization. A Box–Behnken design reveals an optimized window for producing PNIPAM fibers below
Maryam Parastar +2 more
wiley +1 more source
PERFECTA Loaded Lipid Cubosomes for 19F‐MRI: Physico‐Chemical Characterization
Phytantriol‐based cubosomes loaded with PERFCTA, a fluorinated MRI probe, were developed as promising systems for imaging and drug delivery. The nanoparticles showed high PERFECTA encapsulation efficiency, strong fluorine MRI signals, and optimal colloidal stability in biological media.
Pietro Milesi +10 more
wiley +1 more source
Generalized Szego Theorems and Asymptotics of Cumulants by Graphical Methods [PDF]
We obtain some general asymptotics results about a class of deterministic sums called "sums with dependent indices," which generalize a classical theorem of Szegö. The above type of sums is encountered when establishing convergence to the Gaussian distribution of sums of Wick products by the method of cumulants.
openaire +2 more sources
To cope with the complex electromagnetic environment and varied signal styles, a novel method based on the energy cumulant of short time Fourier transform and reinforced deep belief network is proposed to gain a higher correct recognition rate for radar ...
Xuebao Wang +5 more
doaj +1 more source
Fibrilpaint: A Class of Amyloid‐Targeting Peptides
FibrilPaints are modular peptides engineered to recognize amyloid fibrils. By systematically varying charge, sequence, and termini, their binding behavior can be tuned while retaining recognition. Successful binding ″paints″ fibrils for visualization and opens routes toward targeted degradation and diagnostic applications.
Júlia Aragonès Pedrola +8 more
wiley +1 more source
Cumulant methods for electron-phonon problems. II. The self-consistent cumulant expansion
11 pages, 4 ...
Paul J. Robinson +2 more
openaire +2 more sources
Benchmarking the Cumulant Expansion Method Using Dicke Superradiance
Collective superradiant decay of a tightly packed inverted quantum emitter ensemble is among the most intensely studied phenomena in quantum optics. Since the seminal work of Dicke more than half a century ago, a plethora of theoretical calculations in ...
Martin Fasser +3 more
doaj +1 more source
Atomically thin Bi5O7Br nanotubes embedded with abundant Bi nanodots were constructed as an efficient photothermal catalyst for CO2 conversion. The localized surface plasmon resonance and photothermal effect of Bi nanodots synergistically enhance light harvesting, charge utilization, and reaction kinetics, resulting in significantly improved CO2 to CO ...
Guobing Mao +6 more
wiley +1 more source
The performance of direction-of-arrival (DOA) estimation for sparse arrays applied to the distributed source is worse than that applied to the point source model.
Hao Li +4 more
doaj +1 more source

