Results 161 to 170 of about 1,321,207 (310)

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain. [PDF]

Sensors (Basel), 2022
Mao G, Zhang Z, Jia S, Noman K, Li Y.
europepmc   +1 more source

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

Molecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen, Kristiane Søreng, Chiara Veroni, Laura Trachsel‐Moncho, Nagham Asp, Robin Gaupset, Lars Gustav Lyckander, Helene Knævelsrud, Lars Eftang, Anne Simonsen   +9 more
wiley   +1 more source

Quantitative unraveling of spinodal decomposition in Cu-15Ni-8Sn alloys via small-angle neutron scattering: Kinetics and strengthening mechanisms

Materials & Design
Cu-Ni-Sn alloys are widely used in electrical and other fields owing to their excellent mechanical properties. Spinodal decomposition (SD) plays a critical role in strengthening these alloys.
Shunfu Xie, Chao Zhao, Rui Zhong, Zhenhua Xie, Zongqiang Luo, Yubin Ke, Baohua Nie, Zhou Xu, Weiwen Zhang   +8 more
doaj   +1 more source

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. [PDF]

BMC Bioinformatics, 2021
Wang Y, Xia Z, Deng J, Xie X, Gong M, Ma X.   +5 more
europepmc   +1 more source

ESR1 methylation and ESR1 mutations in circulating tumor cells (CTCs) and paired plasma‐cfDNA of advanced breast cancer patients: A feasibility proof‐of‐concept study

Molecular Oncology, EarlyView.
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou, Athina Markou, Eleonora Nicolo, Mara S Serafini, Qiang Zhang, Youbin Zhang, Lorenzo Gerratana, Andrew A. Davis, Huiping Liu, William J Gradishar, Carolina Reduzzi, Massimo Cristofanilli, Evi Lianidou   +12 more
wiley   +1 more source

P3-MSDA: Multi-Source Domain Adaptation Network for Dynamic Visual Target Detection. [PDF]

Front Hum Neurosci, 2021
Song X, Zeng Y, Tong L, Shu J, Bao G, Yan B.   +5 more
europepmc   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Cross-domain few-shot learning : theories, methods, and the source-free paradigm [PDF]

Machine learning degrades under distribution shifts, especially with scarce labels. Cross-domain few-shot learning (CDFSL) aims to generalize to novel classes in unseen domains.
Xu, Huali
core   +1 more source

Human Source Domain in Metaphorizing Corporate Terminology

Cognitive Studies | Études cognitives
This study attempts to apply the theory of conceptual metaphor to investigate the cognitive mechanism of metaphorisation in corporate terminology mapped from the human source domain.
Nguyen Thi Thuy Hanh
doaj   +1 more source

Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation. [PDF]

Front Hum Neurosci, 2021
Zhao Y, Dai G, Borghini G, Zhang J, Li X, Zhang Z, Aricò P, Di Flumeri G, Babiloni F, Zeng H.   +9 more
europepmc   +1 more source