Results 241 to 250 of about 1,174,184 (329)

Loss of STARD7 Triggers Metabolic Reprogramming and Cell Cycle Arrest in Breast Cancer

Advanced Science, EarlyView.
Breast cancer cells undergo metabolic and transcriptomic reprogramming to support aberrant cell proliferation. Their mitochondria rely on the transfer of phosphatidylcholine from the endoplasmic reticulum to their membranes by STARD7, a candidate upregulated in breast cancer, to be functional.
Ewelina Dondajewska, Paula Allepuz‐Fuster, Chloé Maurizy, Alexandre Hego, Sandra Ormenese, Quentin Lion, Arnaud Blomme, Pierre Close, Arnaud Lavergne, Latifa Karim, Marc Thiry, Ivan Nemazanyy, Roopesh Krishnankutty, Jair Marques Jr, Alex von Kriegsheim, Nathaniel F. Henneman, Ganna Panasyuk, Kateryna Shostak, Alain Chariot   +18 more
wiley   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

Advanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que   +8 more
wiley   +1 more source

YAM++ Online: A Web Platform for Ontology and Thesaurus Matching and Mapping Validation

, 2017
Zohra Bellahsène, Vincent Emonet, DuyHoa Ngo, Konstantin Todorov   +3 more
openalex   +2 more sources

An Extensible Linear Approach for Holistic Ontology Matching

International Workshop on the Semantic Web, 2016
I. Megdiche, O. Teste, Cássia Trojahn dos Santos   +2 more
semanticscholar   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

A Human Engineered Heart Tissue‐Derived Lipotoxic Diabetic Cardiomyopathy Model Revealed Early Benefits of Empagliflozin

Advanced Science, EarlyView.
This study develops a human engineered heart tissue‐derived model of diabetic cardiomyopathy that accurately replicates the dynamic changes in the structural, contractile, and electrophysiological properties of the myocardium. Furthermore, this model is used to confirm the direct protective effects of empagliflozin on the heart through an SGLT2 off ...
Lin Cai, Yuxin Zhao, Zilong Li, Liping Xiao, Yifan Wu, Shiya Wang, Qian Liu, Yida Ye, Yuxuan Guo, Donghui Zhang   +9 more
wiley   +1 more source

POMap: An Effective Pairwise Ontology Matching System

, 2017
Amir Laadhar, Faïza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, Faı̈ez Gargouri   +5 more
openalex   +1 more source

Accelerating Sono‐Piezoelectric Charge Transport for Antibacterial Therapy and Bone Regeneration by Metal‐Deficient TiO2 Spin‐Polarization Effect

Advanced Science, EarlyView.
The deficient TiO2 (DTO) and Barium titanate (BTO) heterojunction treats osteomyelitis through SDT. The spin‐polarization effect induced by the unpaired spin electrons in Ti atoms can expedite the transfer of ultrasonic piezoelectric charges in BTO, enhancing surface sonocatalytic efficiency.
Chaofeng Wang, Shuilin Wu, Congyang Mao, Liguo Jin, Hanpeng Liu, Yufeng Zheng, Chunyong Liang, Shengli Zhu, Zhaoyang Li, Hui Jiang, Xiangmei Liu   +10 more
wiley   +1 more source

Ontology matching benchmarks: generation and evaluation

, 2011
Maria Roşoiu, Cássia Trojahn dos Santos, Jérôme Euzenat   +2 more
openalex   +1 more source

CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy

Advanced Science, EarlyView.
CeiTEA, a novel hierarchical clustering algorithm based on topological entropy, effectively captures complex structures underlying data. By constructing an adaptive multi‐nary partition tree, CeiTEA reveals hierarchical structures and local diversifications, outperforming existing methods in clustering accuracy and consistency and providing the ...
Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng Li   +3 more
wiley   +1 more source