Results 121 to 130 of about 1,138,108 (315)

A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics

IEEE Access
Integrating Deep Learning (DL) into abdominal imaging represents a significant leap forward in diagnosing and managing abdominal conditions, offering the potential to transform conventional medical practices.
Mariem Bellal, Sanaa El Fkihi, Korhan Cengiz, Nikola Ivkovic   +3 more
doaj   +1 more source

Pioglitazone plus (−)‐epigallocatechin gallate: a novel approach to enhance osteogenic performance in aged bone marrow mesenchymal stem cells

FEBS Open Bio, EarlyView.
Aged human bmMSCs are seeded in the scaffold. Osteoblastic induction can slightly increase cell's bone‐forming activity to produce bone‐like tissues, shown as the sporadic xylenol orange‐stained spots (the lower left image). Notably, pioglitazone plus EGCG co‐treatment dramatically increases cell's bone‐forming activity and bone‐like tissue production (
Ching‐Yun Chen, Jia‐Ci Jhang, Chun‐Yi Peng, Quốc Cường Nguyễn, Feng‐Huei Lin, Hung‐Ming Wu, Shankung Lin   +6 more
wiley   +1 more source

Retracted: Graph Convolutional Networks for Cross-Modal Information Retrieval [PDF]

, 2023
Wireless Communications and Mobile Computing
openalex   +1 more source

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

FEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold, Janik Riese, Lancelot Seillier, Mark Kühnel, Julia Pannhausen, Charlotte O. J. Fröhlich, Christian Martin, Peter Boor, Matthias Saar, Danny D. Jonigk, Nadine T. Gaisa, Michael Rose   +11 more
wiley   +1 more source

The Effect of Training Data Size on Disaster Classification from Twitter

Information
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler models is
Dimitrios Effrosynidis, Georgios Sylaios, Avi Arampatzis   +2 more
doaj   +1 more source

Scholarly literature mining with information retrieval and natural language processing: Preface [PDF]

, 2020
Guillaume Cabanac, Ingo Frommholz, Philipp Mayr   +2 more
openalex   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

NR4A1 Exerts Pro‐Tumor Role in Glioblastoma via Inducing xCT/GPX4‐Regulated Ferroptosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study investigates NR4A1's paradoxical roles in glioblastoma (GBM) progression, focusing on its mechanistic link to ferroptosis regulation. We aimed to resolve conflicting reports of NR4A1 as both an oncogene and a tumor suppressor by defining its transcriptional control over xCT/GPX4‐mediated iron homeostasis and its clinical ...
Peng Tao, Shikuan Din, Zhengkang Fu, Qian Sun, Xiwei Zhu, Yuxin Wei, Huan Qu, Xinyi Zhang, Jiaxuan Liu, Chuhua Fu, Qianxue Chen   +10 more
wiley   +1 more source

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

An innovative approach to advanced voice classification of sacred Quranic recitations through multimodal fusion

Egyptian Informatics Journal
The Quran is the most important book we have ever read or recited. Perfecting recitation of the Holy Quran is challenging. In this paper, we integrate the use of multimodal fusion to result in advanced voice classification of sacred Quranic recitations ...
Esraa Hassan, Abeer Saber, Omar Alqahtani, Nora El-Rashidy, Samar Elbedwehy   +4 more
doaj   +1 more source