Results 91 to 100 of about 428,031 (297)

Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice

Advanced Healthcare Materials, EarlyView.
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec, Randy Lee, Jingming Cao, Sophie Marolleau, Julien Nicolas, Sébastien Benzekry   +5 more
wiley   +1 more source

Estimation and model specification testing in nonparametric and semiparametric econometric models [PDF]

This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
Gao, Jiti, King, Maxwell
core   +1 more source

Seta‐Inspired Mechano‐Intelligent Janus Bandage with Coordinated Adhesion–Contraction for Minimizing Scarring

Advanced Materials, EarlyView.
We developed a bioinspired mechano‐intelligent Janus bandage (MIB) with a hydrophobic flat exterior and a hydrophilic interior featuring gecko‐mimicking wedged microstructures, fabricated via micromolding and anisotropic plasma treatment. The MIB dynamically synchronizes adhesion and contraction, enabling precise force modulation.
Di Suo, Yuhe Yang, Shuai Zhao, Ho‐Pan Bei, Avery Chik‐Him Lam, Wei‐Qiang Tan, Kenneth Kak‐yuen Wong, Xin Zhao   +7 more
wiley   +1 more source

COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA

Barekeng
Diabetes mellitus is a chronic disease with a rising global prevalence, including in Indonesia. Early detection and accurate modeling are crucial for effective prevention and management.
Bambang Widjanarko Otok, Muhammad Zulfadhli, Riwi Dyah Pangesti, Muhammad Idham Kurniawan, Albertus Eka Putra Haryanto, Darwis Darwis, Iwan Kurniawan   +6 more
doaj   +1 more source

Precision Obtained Using an Artificial Neural Network for Predicting the Material Removal Rate in Ultrasonic Machining

Applied Sciences, 2017
The present study proposes a back propagation artificial neural network (BPANN) to provide improved precision for predicting the material removal rate (MRR) in ultrasonic machining.
Gaoyan Zhong, Min Kang, Shoufeng Yang
doaj   +1 more source

Testing the Specification of Econometric Models in Regression and Non-Regression Directions [PDF]

The asymptotic power of a statistical test depends on the model being tested, the (implicit) alternative against which the test is constructed, and the process which actually generated the data.
James G. MacKinnon, Russell Davidson
core  

Estimation of nonlinear models with Berkson measurement errors

, 2005
This paper is concerned with general nonlinear regression models where the predictor variables are subject to Berkson-type measurement errors. The measurement errors are assumed to have a general parametric distribution, which is not necessarily normal ...
Wang, Liqun
core   +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

Comparison of Different Models for Determining Time up to 50% Maximum Germination: A Case Study of Cottonseeds (Gossypium hirsutum)

پژوهش‌های بذر ایران, 2019
DOR: 98.1000/2383-1251.1397.5. 1.10.2.1605.41 Extended abstract Introduction: Germination speed is one of the most important germination indices, used in most studies to compare the effects of different treatments on seed germination.
Farnaz Porali, Farshid Ghaderi-Far, Elias Soltani, Mohammad Hadi Palevani   +3 more
doaj  

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

Advanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel, Haotian Lu, Jiayan Zhang, Desheng Yao, Ananya Bhardwaj, Ramiro Contreras, Karim Sabra, Xiaoyu (Rayne) Zheng   +7 more
wiley   +1 more source