Results 61 to 70 of about 13,944 (265)

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

ANÁLISIS INTERACTIVO DE ESPECTROS MOLECULARES USANDO UNA PC

open access: yesAnales (Asociación Física Argentina), 2013
El análisis de espectros moleculares y en particular la asignación cuántica de las líneas rotacionales suele ser una tarea muy compleja que requiere mucho tiempo.
Carlos B Suárez
doaj  

Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites

open access: yesAdvanced Science, EarlyView.
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou   +14 more
wiley   +1 more source

Real‐Time High‐Definition Hyperspectral Endoscopy via Spatial‐Temporal Low‐Frequency‐Stochastic Spectral Encoding

open access: yesAdvanced Science, EarlyView.
A real‐time, high‐definition hyperspectral endoscopy is enabled by developing a spatial‐temporal spectral encoding approach based on low‐frequency stochastic filters combined with an encoding‐guided attention network. It provides hyperspectral image of in vivo tissue with fine superficial features, enables visualization of rapid and subtle ...
Xiaowei Liu   +11 more
wiley   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

open access: yesAdvanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang   +3 more
wiley   +1 more source

An evaluation of superminicomputers for thermal analysis [PDF]

open access: yes
The feasibility and cost effectiveness of solving thermal analysis problems on superminicomputers is demonstrated. Conventional thermal analysis and the changing computer environment, computer hardware and software used, six thermal analysis test ...
Jones, G. K.   +2 more
core   +1 more source

AI‐Based D‐Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug‐Resistant Bacterial Infection

open access: yesAdvanced Science, EarlyView.
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao   +14 more
wiley   +1 more source

INTEGRATION VERSUS DEDICATION IN ROMANIAN MANAGEMENT SUPPORT SYSTEMS [PDF]

open access: yes
The technologies supporting future business must be intuitive from a user standpoint, flexible from design standpoint and highly productive. As an answer to many requirements, analysts recommend the inclusion of SOA and ESB in the IT management ...
Buchmann Robert   +3 more
core  

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

open access: yesAdvanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

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