Results 91 to 100 of about 424,647 (298)
BarekengDiabetes 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 +6 more
doaj +1 more source
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
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
Adaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes
Advanced Functional Materials, EarlyView.The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...
Natascha Gray +3 more
wiley +1 more source
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 +3 more
doaj
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
Generalized nonlinear percentile regression using asymmetric maximum likelihood estimation
Communications for Statistical Applications and Methods, 2021 Juhee Lee, Young Min Kim
openaire +2 more sources
Advanced Functional Materials, EarlyView.Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source
Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models [PDF]
In linear specifications, the bias due to the presence of measurement error in a regressor can be entirely avoided when either repeated measurements or instruments are available for the mismeasured regressor.
Susanne M. Schennach
core
Advanced Healthcare Materials, EarlyView.We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin +5 more
wiley +1 more source