Results 151 to 160 of about 249,976 (301)

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

DMS‐MaPseq and DREEM Analyses Implicate the Critical Role of RNA Structural Dynamics in Turnip Yellow Mosaic Virus Pathogenicity

open access: yesAdvanced Science, EarlyView.
RNA structural profiling of Turnip Yellow Mosaic Virus by DMS‐MaPseq and DREEM analyses uncover that viral genome‐wide RSS is highly complicated and heterogeneous, with alternative RSSs widely distributed across the genome. Notably, the viral 3’ tRNA‐like structure adopts alternative conformations in vivo.
Jiaying Zhu   +7 more
wiley   +1 more source

Transfusion management of severe anaemia in African children: a consensus algorithm. [PDF]

open access: yesBr J Haematol, 2021
Maitland K   +18 more
europepmc   +1 more source

CONSENSUS OPTIMIZATION FOR DISTRIBUTED REGISTRATION

open access: yes, 2018
We consider the problem of jointly registering multiple point sets using rigid transforms. We propose a distributed algorithm based on consensus optimization for the least-squares formulation of this problem.
Sanyal, Rajat, Chaudhury, Kunal N
core  

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

Consensus-Based Voltage Setpoint Regulation for Power Networks

open access: yes
reservedAs renewable energy sources such as photovoltaic (PV) cells and wind turbines become increasingly prevalent in our lives, power systems require modern and advanced techniques to cope with uncertainties and intermittence from these sources.
BONETTO, ALESSIO
core  

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

open access: yesAdvanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang   +15 more
wiley   +1 more source

A Fair and Lightweight Consensus Algorithm for IoT

open access: yes
Abstract With the rapid growth of hyperconnected devices and decentralized data architectures, safeguarding Internet of Things (IoT) transactions is becoming increasingly challenging. Blockchain presents a promising solution, yet its effectiveness depends on the underlying consensus algorithm. Conventional mechanisms, such as Proof of
Sokratis Vavilis   +2 more
openaire   +2 more sources

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

open access: yesAdvanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang   +13 more
wiley   +1 more source

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