Results 71 to 80 of about 17,352 (237)
Data preordering in generalized PAV algorithm for monotonic regression [PDF]
Monotonic regression (MR) is a least distance problem with monotonicity constraints induced by a partially ordered data set of observations. In our recent publication [In Ser.
Grimvall, Anders, +2 more
core
Abstract Purpose Robotic‐arm‐assisted surgery is increasingly used in orthopaedics due to its potential clinical benefits. This real‐world data analysis evaluated the impact of image‐based, robotic‐arm‐assisted total knee arthroplasty (raTKA) over non‐robotic‐arm‐assisted total knee arthroplasty (nraTKA) on perioperative outcomes in Germany based on a ...
Lars‐Rene Tuecking +7 more
wiley +1 more source
Abstract Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver ...
Ian W. Bishop +5 more
wiley +1 more source
Mapping Causal Biology: Mendelian Randomization in the Era of Big Data
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen +10 more
wiley +1 more source
A nonparametric test of trend based on amalgamation [PDF]
In this paper we deal with a nonparametric test of trend proposed by Brunk [3]. This test is identical with the test based on the number of distinct values obtained by applying the Pool Adjacent Violators Algorithm or amalgamation process to the data. (c.
Kudo, Akio +3 more
core
Fitting Sugeno integral for learning fuzzy measures using PAVA isotone regression [PDF]
The discrete Sugeno integral is an aggregation function particularly suited to aggregation of ordinal inputs. It accounts for inputs interactions, such as redundancy and complementarity, and its learning from empirical data is a challenging optimisation ...
Beliakov G., Divakov D.
core +1 more source
A-optimality orthogonal forward regression algorithm using branch and bound [PDF]
In this brief, we propose an orthogonal forward regression (OFR) algorithm based on the principles of the branch and bound (BB) and A-optimality experimental design.
Harris, C. J. +5 more
core +1 more source
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Leveraging Public Transit for Robotic Deliveries: A Column Generation Approach
ABSTRACT Autonomous mobile robots (AMRs) are small, electric, wheeled vehicles that operate at pedestrian speeds. In the last‐mile delivery service considered in this study, a fleet of AMRs is deployed across multiple recharging depots within a service area, from which they depart to perform point‐to‐point deliveries. We consider an operational setting
Yishay Shapira, Mor Kaspi
wiley +1 more source
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley +1 more source

