Results 91 to 100 of about 64,632 (290)

Biomimetic Copper‐Doped Nano‐Aluminum Adjuvant Potentiates Therapy in Chemoresistant Acute Myeloid Leukemia

open access: yesAdvanced Healthcare Materials, EarlyView.
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He   +10 more
wiley   +1 more source

Pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling: studi dengan simulasi Monte Carlo

open access: yesJurnal Penelitian dan Evaluasi Pendidikan, 2017
Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling.
Muhammad Dwirifqi Kharisma Putra   +3 more
doaj   +1 more source

Multivariate Estimation of Poisson Parameters

open access: yes, 2019
This paper is devoted to the multivariate estimation of a vector of Poisson means. A novel loss function that penalises bad estimates of each of the parameters and the sum (or equivalently the mean) of the parameters is introduced.
Hjort, Nils Lid, Stoltenberg, Emil Aas
core   +1 more source

Modular Control of PEG‐Poly(2‐Oxazoline) Co‐Assembly Enables Tunable Aggregate Properties for Intraocular Pressure Management

open access: yesAdvanced Healthcare Materials, EarlyView.
A thermo‐responsive poly(2‐oxazoline)‐based injectable formulation is developed to modulate intraocular pressure (IOP) in both normal and hypotonic eyes. By adjusting the PEG content, the aggregation behavior is finely tuned, enabling IOP elevation without long‐term deposition.
Yuji Tanaka   +2 more
wiley   +1 more source

Smooth empirical Bayes estimation of observation error variances in linear systems [PDF]

open access: yes
A smooth empirical Bayes estimator was developed for estimating the unknown random scale component of each of a set of observation error variances. It is shown that the estimator possesses a smaller average squared error loss than other estimators for a ...
Lian, M. W., Martz, H. F., Jr.
core   +1 more source

Elastomeric Micro‐Balloons for Remote Control of Cerebral Blood Flow and Real‐Time In vivo Imaging of Rodent Brain Response to Hypoperfusion

open access: yesAdvanced Materials, EarlyView.
This study reports the fabrication of MRI‐compatible elastomeric micro‐balloons via a multi‐step bubble casting process, where the monolithic elastomeric wall is selectively stiffened for reversible and controlled inflation and elasticity, depending on the target vessels for graded occlusion of cerebral arteries.
Jong Bin Kim   +10 more
wiley   +1 more source

BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS [PDF]

open access: yesBulletin of Mathematical Statistics, 1980
For the estimable parameter of degree 2, throughout this paper, we consider 02 with h2 such that h2(x, x) and h2(x, x)=0 for any x, yEX. As estimators of estimable parameters, U-statistics and differentiable statistical functions are well known. (See, for example, Hoeffding (1948) and von Mises (1947).) For an estimable parameter of degree 1, the U ...
openaire   +2 more sources

Non‐Invasive Brain Targeted Delivery of Cannabidiol for Alleviating Neuroinflammatory Disease

open access: yesAdvanced Materials, EarlyView.
The glucose‐functionalized nanoparticles (GNPs) are developed for the brain‐targeted delivery of cannabidiol (CBD). GNPs bypass the blood‐brain barrier (BBB) via glucose transporter‐1 (GLUT‐1) and release CBD in response to reactive oxygen species (ROS).
Yibin Wang   +7 more
wiley   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

open access: yesAdvanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

Experimental Comparison between Classical and Bayes Estimators for the Parameter of Exponential Distribution

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2017
This paper is interested in comparing the performance of the traditional methods to estimate parameter of exponential distribution (Maximum Likelihood Estimator, Uniformly Minimum Variance Unbiased Estimator) and the Bayes Estimator in the case of data ...
N. H. Al-Noor
doaj  

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