Results 41 to 50 of about 5,026,622 (157)

Bladder-cancer-associated mutations in RXRA activate peroxisome proliferator-activated receptors to drive urothelial proliferation [PDF]

, 2017
RXRA regulates transcription as part of a heterodimer with 14 other nuclear receptors, including the peroxisome proliferator-activated receptors (PPARs).
Arora, Vivek K, Bolzenius, Jennifer, Bowman, Gregory R, Chu, Clarence E, Halstead, Angela M, Kapadia, Chiraag D, Schriefer, Andrew, Wartman, Lukas D   +7 more
core   +2 more sources

Near-optimal RNA-Seq quantification [PDF]

, 2015
We present a novel approach to RNA-Seq quantification that is near optimal in speed and accuracy. Software implementing the approach, called kallisto, can be used to analyze 30 million unaligned paired-end RNA-Seq reads in less than 5 minutes on a ...
Bray, Nicolas, Melsted, Páll, Pachter, Lior, Pimentel, Harold   +3 more
core   +1 more source

A Python/Fortran Implementation of the Lattice‐Boltzmann Kernel on Multiple GPU Using the OpenACC Framework

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT The increasing availability of GPU accelerated architectures for high‐performance computing presents new opportunities for scientific software but also challenges due to the complexity of porting legacy codes to accelerator platforms. Directive‐based programming models such as OpenACC offer a minimally intrusive pathway to exploit GPU ...
Carlos Junqueira‐Junior, Erwan Zamora Medina, Noureddine Taibi, Simon Marié   +3 more
wiley   +1 more source

A Noncontact Methodology for Disengagement Monitoring of High‐Speed Railway Bridge Bearings Based on Bearing‐to‐Beam Displacement Relation Under Round‐Trip Trains

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Bearings are critical components of bridges and are susceptible to various forms of deterioration under the action of traffic loads and complex environmental conditions. Existing methods for assessing the condition of bearings, including visual inspections, force sensors, cameras, and vibration sensors, still present challenges in accurately locating ...
Chuang Wang, Jiawang Zhan, Zhihang Wang, Xinxiang Xu, Yujie Wang, Zhen Ni, Fei Li, Lucia Faravelli   +7 more
wiley   +1 more source

Multimodal Lotus Effect Algorithm for Engineering Optimization Problems

Engineering Reports, Volume 7, Issue 4, April 2025.
ABSTRACT Multimodal optimization problems (MMOPs) are critical in fields like game theory and robotics, where identifying multiple optimal solutions simultaneously is essential, yet challenging due to the need for effective global exploration and precise localization of optima.
Elham Dalirinia, Mahdi Yaghoobi, Hamid Tabatabaee, Swati Chandna, Mehrdad Jalali   +4 more
wiley   +1 more source

Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer

Heliyon
This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise.
Saad Ali Amin, Mashal Kasem Sulieman Alqudah, Saleh Ateeq Almutairi, Rasha Almajed, Mohammad Rustom Al Nasar, Hamzah Ali Alkhazaleh   +5 more
doaj   +1 more source

Determining breast cancer histological grade from RNA-sequencing data [PDF]

, 2016
BACKGROUND: The histologic grade (HG) of breast cancer is an established prognostic factor. The grade is usually reported on a scale ranging from 1 to 3, where grade 3 tumours are the most aggressive.
Czene, Kamila, Grönberg, Henrik, Klevebring, Daniel, Lindberg, Johan, Rantalainen, Mattias, Wang, Mei   +5 more
core   +1 more source

Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta‐Analysis

Oral Diseases, Volume 31, Issue 4, Page 1054-1064, April 2025.
ABSTRACT Objective Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classification of oral lesions.
Olga Di Fede, Gaetano La Mantia, Marco Parola, Laura Maniscalco, Domenica Matranga, Pietro Tozzo, Giuseppina Campisi, Mario G. C. A. Cimino   +7 more
wiley   +1 more source

Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data [PDF]

, 2017
RNA-sequencing has become the gold standard for whole-transcriptome gene expression quanti cation. Multiple algorithms have been developed to derive gene counts from sequencing reads.
Cheng, Quek Xiu, Dinger, Marcel E, Everaert, Celine, Hellemans, Jan, Luypaert, Manuel, Maag, Jesper LV, Mestdagh, Pieter   +6 more
core   +2 more sources

MEDCnet: A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN

International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.
ABSTRACT Modern medical imaging equipment can capture very high‐resolution images with detailed features. These high‐resolution images have been used in several domains. Diabetic retinopathy (DR) is a medical condition where increased blood sugar levels of diabetic patients affect the retinal vessels of the eye.
Mohsin Butt, D. N. F. Awang Iskandar, Majid Ali Khan, Ghazanfar Latif, Abul Bashar   +4 more
wiley   +1 more source