Results 111 to 120 of about 9,369 (286)

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

OFDM-CDM Performance Enhancement by Combining H-ARQ and Interference Cancellation [PDF]

, 2006
In this paper, superimposed packet allocation for orthogonal frequency-division multiple-access code-division multiplexing (OFDMA-CDM) is presented, where each transmitted packet is associated with one spreading code. An iterative algorithm which is
Raulefs, Ronald, Arkhipov, Alexander, Schnell, Michael   +2 more
core  

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

Optimized HARQ Schemes Employing Multi-Rate Coupled LDPC Codes

IEEE Access
This paper presents a hybrid automatic repeat request (HARQ) scheme based on multi-rate coupled low-density parity-check (LDPC) codes, which can be efficiently implemented using existing 5G New Radio (NR) LDPC matrices.
Yiyun Jian, Lukasz Lopacinski, Eckhard Grass   +2 more
doaj   +1 more source

Predicting A-to-I RNA editing by feature selection and random forest.

PLoS ONE, 2014
RNA editing is a post-transcriptional RNA process that provides RNA and protein complexity for regulating gene expression in eukaryotes. It is challenging to predict RNA editing by computational methods.
Yang Shu, Ning Zhang, Xiangyin Kong, Tao Huang, Yu-Dong Cai   +4 more
doaj   +1 more source

Resource-aware incremental redundancy in feedback and broadcast

, 2016
International Zurich Seminar on Communications ...
Wesel, Richard D., Vakilinia, Kasra, Ranganathan, Sudarsan V.S., Divsalar, Dariush, Mu, Tong   +4 more
openaire   +2 more sources

A Smart Fluid‐Hydraulic System Based on MRF Valve Control and Its Application in Flexible Grasping

Advanced Science, EarlyView.
This study introduces a smart fluid hydraulic system using MRF valve control for flexible gripping. An MRF‐MSV with an integrated excitation coil and micro‐textured damping channels is designed and validated; micro‐texturing increases hydraulic resistance. Coupled with a soft actuator, the MRF‐MSV enables dynamic bending and grasping.
Linfeng Huo, Hui Ji, Ruidong Hong, Songlin Nie, Fanglong Yin, Zhonghai Ma   +5 more
wiley   +1 more source

Incremental Redundancy Deadline Dependent Coding for Efficient Wireless Real-Time Communications [PDF]

, 2008
The concept of deadline dependent coding (DDC) has been demonstrated as a promising design approach for efficient and reliable real-time communications over wireless channels.
Elisabeth Uhlemann, Lars K. Rasmussen
core  

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Experience‐Dependent Reorganization of Hippocampal CA3 Neuronal Ensembles Associates With Memory Generalization

Advanced Science, EarlyView.
Mice can transfer the learned rule of spatial working memory to guide similar but novel tasks. Hippocampal CA3 populational activity dynamically reorganize during memory generalization, shifting from task‐specific to generalized coding over testing days. Sparse yet redundant neural representations of CA3 enable rule transfer and cognitive map formation,
Da Song, Zilu Zhu, Yujun Deng, Yujie Song, Hui Li, Junjun Ni, Zhenzhen Quan, Yan Yan, Hong Qing   +8 more
wiley   +1 more source