Results 21 to 30 of about 294,873 (258)

A novel three-dimensional strapping reduction for the treatment of patellar fractures

Journal of Orthopaedic Surgery and Research, 2019
Objective This study aimed to investigate the effectiveness of a three-dimensional strapping reduction in the treatment of patellar fractures. Methods Between January 2015 and June 2017, a total of 56 patients were randomly allocated to the three ...
Wei Jiang, Yusheng Li, Ronak Naveenchandra Kotian, Bowen Lin, Xiaoming Zhang   +4 more
doaj   +1 more source

A Short Review on Minimum Description Length: An Application to Dimension Reduction in PCA

Entropy, 2022
The minimun description length (MDL) is a powerful criterion for model selection that is gaining increasing interest from both theorists and practicioners.
Vittoria Bruni, Maria Lucia Cardinali, Domenico Vitulano   +2 more
doaj   +1 more source

Spectral Dimension Reduction of Complex Dynamical Networks

Physical Review X, 2019
Dynamical networks are powerful tools for modeling a broad range of complex systems, including financial markets, brains, and ecosystems. They encode how the basic elements (nodes) of these systems interact altogether (via links) and evolve (nodes ...
Edward Laurence, Nicolas Doyon, Louis J. Dubé, Patrick Desrosiers   +3 more
doaj   +1 more source

Toward More Efficient WMSN Data Search Combined FJLT Dimension Expansion With PCA Dimension Reduction

IEEE Access, 2020
With the rapid development of 5G technology, the scales and dimensions of the data that are processed by Wireless Multimedia Sensor Network (WMSN) applications will be larger than ever before.
Chenkai Xiao, Wenhao Shao, Ruliang Xiao
doaj   +1 more source

Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques

Energies, 2021
Wind energy and wind power forecast errors have a direct impact on operational decision problems involved in the integration of this form of energy into the electricity system.
Marta Poncela-Blanco, Pilar Poncela
doaj   +1 more source

Multiple phenotype association tests based on sliced inverse regression

BMC Bioinformatics
Background Joint analysis of multiple phenotypes in studies of biological systems such as Genome-Wide Association Studies is critical to revealing the functional interactions between various traits and genetic variants, but growth of data in ...
Wenyuan Sun, Kyongson Jon, Wensheng Zhu, the Alzheimer’s Disease Neuroimaging Initiative   +3 more
doaj   +1 more source

Cauchy-Lanczos Algorithm for Effective Dimension Reduction

IEEE Access
The aim of dimension reduction techniques is to eliminate unnecessary information from extensive datasets, thereby enhancing the effectiveness of data analysis.
Xuansheng Wang, Linzhong Xia, Changwei Lv   +2 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification

Mathematics, 2023
In the era of healthcare and its related research fields, the dimensionality problem of high-dimensional data is a massive challenge as it is crucial to identify significant genes while conducting research on diseases like cancer.
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma, Praveen Lalwani, Akshara Makrariya, Pavan Kumar   +5 more
doaj   +1 more source