Results 131 to 140 of about 16,585,517 (291)

Single-index regression models

, 2015
Indiana University-Purdue University Indianapolis (IUPUI) ; Useful medical indices pose important roles in predicting medical outcomes. Medical indices, such as the well-known Body Mass Index (BMI), Charleson Comorbidity Index, etc., have been used extensively in research and clinical practice, for the quantification of risks in individual patients ...
openaire   +2 more sources

Extensions of Semiparametric Single Index Models

, 2018
In the recent decades, researchers have made tremendous progress in the study of nonparametric and semiparametric models. Among them, the semiparametric single-index model is intensively studied due to its simplicity and flexibility.
Wang, Cheng
core  

Deep spatial-spectral fusion of UAV RGB and hyperspectral imagery for potato plant disease detection

International Journal of Applied Earth Observations and Geoinformation
Accurate plant disease detection remains challenging when using single-modality data, which fails to capture comprehensive disease-related features. However, many existing studies rely on pixel-level classification or prior plant segmentation and lack ...
Tianyi Jia, Magdalena Smigaj, Gert Kootstra, Lammert Kooistra   +3 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

PERSISTENCE OF PRICE-COST MARGINS IN THE U.S. FOOD AND TOBACCO MANUFACTURING INDUSTRIES: A DYNAMIC SINGLE INDEX MODEL APPROACH [PDF]

Persistence of price-cost margins in the U.S. food and tobacco manufacturing industries is measured while accounting for price-cost margin risk. Direct measurement of persistence and of long- and short-run price-cost margin risk is accomplished by ...
Cranfield, John A.L.
core  

A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional study

Insights into Imaging
Objectives Precise perioperative risk stratification for upper tract urothelial carcinoma (UTUC) is essential. We developed a multimodal prognostic model integrating perioperative clinical data, radiomics, and deep learning (DL) features from baseline CT
Xiang Peng, Yang Li, Wei Shi, Bangxin Xiao, Xiao Xiao, Xiaofeng Yue, Qiao Xv, Qing Jiang, Weiyang He, Yingjie Xv, Mingzhao Xiao   +10 more
doaj   +1 more source

Combining ALS and Satellite Data to Develop High-Resolution Forest Growth Potential Maps for Plantation Stands in Western Canada

Remote Sensing
Mapping forest growth potential across varying environments is challenging, especially when field measurements are limited. In this study, we integrated Airborne Laser Scanning (ALS) terrain derivatives and Sentinel-2 spectral indices to model Site Index
Faezeh Khalifeh Soltanian, Luiz Henrique Terezan, Colin E. Chisholm, Pamela Dykstra, William H. MacKenzie, Che Elkin   +5 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Extensions of Semiparametric Single Index Models

, 2017
In the recent decades, researchers have made tremendous progress in the study of nonparametric and semiparametric models. Among them, the semiparametric single-index model is intensively studied due to its simplicity and flexibility.
Wang, Cheng
core  

Robust Estimation of L₁-Modal Regression Under Functional Single-Index Models for Practical Applications

Mathematics
We propose a robust procedure to estimate the conditional mode of a univariate outcome O given a Hilbertian explanatory variable I, under the assumption that (O,I) follow a single-index structure.
Fatimah A. Almulhim, Mohammed B. Alamari, Salim Bouzebda, Zoulikha Kaid, Ali Laksaci   +4 more
doaj   +1 more source