Results 91 to 100 of about 145,155 (289)

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

open access: yesAdvanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang   +8 more
wiley   +1 more source

Asynchronous Channel Training in Multi-Cell Massive MIMO

open access: yes, 2017
Pilot contamination has been regarded as the main bottleneck in time division duplexing (TDD) multi-cell massive multiple-input multiple-output (MIMO) systems. The pilot contamination problem cannot be addressed with large-scale antenna arrays.
Jafarkhani, Hamid, Zou, Xun
core  

HIDF: Integrating Tree‐Structured scRNA‐seq Heterogeneity for Hierarchical Deconvolution of Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou   +5 more
wiley   +1 more source

Transforming oil market analysis: A novel GAN + LSTM predictive framework

open access: yesNext Energy
A novel method of predicting the crude oil WTI futures prices based on a data set covering April 12, 2009 through January 7, 2024. To capture complex market dynamics more precisely, it incorporates key market factors such as open, high, and low price ...
Prity Kumari   +2 more
doaj   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

open access: yesAdvanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li   +8 more
wiley   +1 more source

Penaksir Rasio dan Produk Eksponensial yang Efisien untuk Variansi Populasi pada Sampling Acak Sederhana [PDF]

open access: yes, 2015
Estimators discussed here are three estimators for estimating population variance in simple random sampling without replacement, i.e. exponential ratio estimator using variance of auxiliary variable, and exponential ratio and product estimators using ...
Elysmayanti, M. (Mega)   +2 more
core  

SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers

open access: yesAdvanced Science, EarlyView.
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai   +12 more
wiley   +1 more source

A neural network prediction analysis of breakout continuous casting based on differential evolution (DE)

open access: yesMetalurgija, 2020
In order to predict the breakout of continuous casting accurately and timely, a breakout prediction neural network (BPNN) model based on differential evolution algorithm was proposed. Differential evolutionary algorithm is introduced to solve the problem
Y. R. Li, C. N. Zhang
doaj  

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

open access: yesAdvanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan   +7 more
wiley   +1 more source

Visualizing Strain‐Coupled Cryogenic Phase Transitions and Defect Dynamics in Perovskite Quantum Dots Using In Situ STEM

open access: yesAdvanced Science, EarlyView.
Cryogenic cooling induces an orthorhombic‐to‐monoclinic phase transition in CsPbBr3 quantum dots, accompanied by pronounced strain localization at surfaces and interfaces. Multimodal in situ STEM directly visualize reversible defect healing during moderate cryogenic treatment and irreversible degradation upon prolonged exposure, revealing the intrinsic
Xinjuan Li   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy