Results 61 to 70 of about 97,244 (288)
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Fission-Fragment Mass Distribution and Particle Evaporation at low Energies [PDF]
, 2002 Fusion-fission dynamics is investigated with a special emphasis on fusion reactions at low energy for which shell effects and pairing correlations can play a crucial role leading in particular to multi-modal fission.
Bartel, J. +3 more
core +3 more sources
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
MSTGC: Multi-Channel Spatio-Temporal Graph Convolution Network for Multi-Modal Brain Networks Fusion
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Multi-modal brain networks characterize the complex connectivities among different brain regions from structure and function aspects, which have been widely used in the analysis of brain diseases.
Ruting Xu +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Research on Emotion Classification Based on Multi-modal Fusion
مجلة بغداد للعلومNowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data
zhihua Xiang +2 more
doaj +1 more source
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
, 2017 Trip hazards are a significant contributor to accidents on construction and manufacturing sites, where over a third of Australian workplace injuries occur [1].
McMahon, Sean +3 more
core +2 more sources
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Pathological Gait Classification Using Early and Late Fusion of Foot Pressure and Skeleton Data
Applied SciencesClassifying pathological gaits is crucial for identifying impairments in specific areas of the human body. Previous studies have extensively employed machine learning and deep learning (DL) methods, using various wearable (e.g., inertial sensors) and non-
Muhammad Tahir Naseem +3 more
doaj +1 more source
Teaching Quality Evaluation Method Based on SA-BPNN Multi-Modal Fusion [PDF]
Jisuanji gongchengA Simulated Annealing Backpropagation Neural Network (SA-BPNN)-based multi-modal fusion model for evaluating teaching quality is proposed to address the issues of poor generalization ability and low prediction accuracy caused by the insufficient ...
WANG Wenjing, FAN Tao, WANG Guozhong, ZHAO Haiwu
doaj +1 more source