Results 61 to 70 of about 232,024 (305)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A Study of Convolution Models for Background Correction of BeadArrays

Austrian Journal of Statistics, 2016
The robust multi-array average (RMA), since its introduction in Irizarry, Bolstad, Collin, Cope, Hobbs, and Speed (2003a); Irizarry, Hobbs, Collin, Beazer-Barclay, An- tonellis, Scherf, and Speed (2003b); Irizarry, Wu, and Jaee (2006), has gained ...
Rohmatul Fajriyah
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Ellis on Mathematical Statistics and Probability

, 2022
AbstractRobert Leslie Ellis’s work in mathematical statistics and probability can be conveniently grouped under three headings: (1) his 1844 critique of the justifications of the method of least squares, (2) his short 1842 paper on the foundations of probability (with a brief follow-up in 1854), and (3) his return to least squares in 1850. The first of
openaire   +1 more source

Multifunctional Wound Dressings: Melt Electrowritten Scaffolds Combined With Phytotherapeutic Composite Hydrogels

Advanced Materials Interfaces, EarlyView.
ABSTRACT The increasing prevalence of impaired wounds, caused mainly by diabetes or aging, alongside the growing number of bacterial infections, indicates the need for alternative tissue engineering solutions. In this study, we developed novel melt electrowritten (MEW) polycaprolactone (PCL) scaffolds incorporated with an alginate (Alg)–gelatin (Gel ...
Andrada‐Ioana Damian‐Buda, Aldo Roberto Boccaccini, Irem Unalan   +2 more
wiley   +1 more source

On the Ratio of Inverted Gamma Variates

Austrian Journal of Statistics, 2016
In this paper the distribution and moments of the ratio of independent inverted gamma variates have been considered. Unbiased estimators of the parameter involved in the distribution have been proposed. As a particular case, the ratio of independent Levy
M. Masoom Ali, Manisha Pal, Jungsoo Woo
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Inference on Downton’s Bivariate Exponential Distribution Based on Moving Extreme Ranked Set Sampling

Austrian Journal of Statistics, 2016
The purpose of this paper is to estimate the parameters of Downton’s bivariate exponential distribution using moving extreme ranked set sampling (MERSS).
Ahmed Ali Hanandeh, Mohammad Fraiwan Al-Saleh   +1 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source