Results 71 to 80 of about 72,455 (264)

Taylor's law of fluctuation scaling for semivariances and higher moments of heavy-tailed data. [PDF]

Proc Natl Acad Sci U S A, 2021
Brown M, Cohen JE, Tang CF, Yam SCP.
europepmc   +1 more source

Nanomaterial Strategies for Pulmonary Delivery of Immunotherapeutics in Lung Cancer Treatment

Advanced Healthcare Materials, EarlyView.
Inhalable immunotherapeutic nanomedicines enable organ‐selective immune modulation by overcoming pulmonary delivery barriers and concentrating therapy within lung tumors. This Review defines how nanomaterial properties govern airway deposition, retention, cellular partitioning, and immune activation across vaccines, checkpoint blockade, STING agonists,
Han Zhang, Wei Tang
wiley   +1 more source

Tumor‐Targeted Hyaluronic Acid/Tannic Acid‐Engineered Oxygen Nanogenerators With IR780 Payloads Enable Dual‐Mode Glutathione Depletion and Effective Singlet Oxygen Generation for Melanoma Treatment

Advanced Healthcare Materials, EarlyView.
A hyaluronic acid/tannic acid‐engineered Prussian blue oxygen nanogenerator loaded with IR780 is developed to enhance melanoma phototherapy. By integrating tumor targeting, oxygen self‐supply, and dual‐mode glutathione depletion, the nanoplatform effectively overcomes hypoxia and antioxidant defenses, potentiating synergistic photothermal/photodynamic ...
Chai‐How Hsu, I‐Ju Liu, Hsiang‐Yun Chih, Tsai‐Ching Hsu, Ju‐An Liang, Chia‐Wei Kuo, Bor‐Show Tzang, Wen‐Hsuan Chiang   +7 more
wiley   +1 more source

Improved Probability-Weighted Moments and Two-Stage Order Statistics Methods of Generalized Extreme Value Distribution

Mathematics
This study evaluates six parameter estimation methods for the generalized extreme value (GEV) distribution: maximum likelihood estimation (MLE), two probability-weighted moments (PWM-UE and PWM-PP), and three robust two-stage order statistics estimators (
Autcha Araveeporn
doaj   +1 more source

Time-Varying Graph Learning for Data With Heavy-Tailed Distribution

IEEE Transactions on Signal Processing
Graph models provide efficient tools to capture the underlying structure of data defined over networks. Many real-world network topologies are subject to change over time. Learning to model the dynamic interactions between entities in such networks is known as time-varying graph learning.
Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti   +3 more
openaire   +3 more sources

Quantification of Phosphorylated Tau Protein in Alzheimer's Disease Patients’ Fluids With Electrolyte‐Gated Organic Transistor Biosensors

Advanced Healthcare Materials, EarlyView.
Dementia syndrome affects millions of people in the world, and Alzheimer's disease (AD) is the most common cause. We report the detection of the specific biomarker for AD, p‐tau‐181, from physiological to pathological concentrations in cerebrospinal fluid using an electrolyte‐gated organic transistor biosensor.
Marcello Berto, Pamela A. Manco Urbina, Alessandro Paradisi, Matteo Sensi, Najara Iacovino, Chiara Carbone, Roberta Bedin, Marcello Pinti, Fabio Biscarini, Giovanna Zamboni, Carlo A. Bortolotti   +10 more
wiley   +1 more source

Estimating Skewness and Kurtosis for Asymmetric Heavy-Tailed Data: A Regression Approach

Mathematics
Estimating skewness and kurtosis from real-world data remains a long-standing challenge in actuarial science and financial risk management, where these higher-order moments are critical for capturing asymmetry and tail risk.
Joseph H. T. Kim, Heejin Kim
doaj   +1 more source

Inference on heavy tails from dependent data [PDF]

, 2002
The author deals with problems of tail index and extreme quantile estimation from a sample of dependent random variables. Consistency and asymptotic normality of the corresponding estimators are established under mild mixing conditions. The accuracy of estimation is shown to be of the same order as if the data were independent.
openaire   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source