Results 91 to 100 of about 22,688 (271)

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

open access: yesAdvanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu   +10 more
wiley   +1 more source

RoMEO Studies 6: Rights metadata for open-archiving [PDF]

open access: yes, 2003
This is the final study in a series of six emanating from the UK JISC-funded RoMEO Project (Rights Metadata for Open-archiving) which investigated the Intellectual Property Rights (IPR) issues relating to academic author self-archiving of research papers.
Charles Oppenheim (7173491)   +5 more
core  

Assigning metadata to digital books in EPUB3. Part one: metadata in EPUB3 specifications

open access: yesBiD: Textos Universitaris de Biblioteconomia i Documentació, 2015
Objectives: This paper describes how to use internal and descriptive metadata in EPUB 3 according to current standards and the good practices disseminated by the publishing industry.
Centelles Velilla, Miquel
doaj  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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

Fosl2 Regulates FSH‐Dependent Follicle Maturation Through Feedback Amplification of FSH/FSHR Signaling

open access: yesAdvanced Science, EarlyView.
This study identifies a FOSL2‐driven positive feedback loop that amplifies FSH/FSHR signaling. During FSH‐dependent follicle maturation, FSH induces Fosl2 expression via the cAMP‐PKA‐CREB cascade. FOSL2 in turn binds the promoters of Fshr and estrogen‐biosynthesis genes to enhance their transcription, thereby increasing Fshr mRNA level and amplifying ...
Hongru Shi   +13 more
wiley   +1 more source

Designing an automated prototype tool for preservation quality metadata extraction for ingest into digital repository [PDF]

open access: yes, 2008
We present a viable framework for the automated extraction of preservation quality metadata, which is adjusted to meet the needs of, ingest to digital repositories. It has three distinctive features: wide coverage, specialisation and emphasis on quality.
Dobreva, M., Ross, S., Kim, Y.
core  

Boosting Sensory Nerve‐to‐Bone Interactions Enhances Hedgehog Mediated Calvarial Bone Repair

open access: yesAdvanced Science, EarlyView.
Boosting sensory nerve activity via TrkA agonism strongly accelerates calvarial bone repair in adult mice. Furthermore, single‐cell RNA sequencing and neuron–bone interactome analyses identify these sensory neurons as a direct neural source of Hedgehog pathway ligands. Consequently, these ligands drive osteoblast differentiation of skeletal progenitors,
Zhao Li   +9 more
wiley   +1 more source

WP9: A Review of Data and Metadata Standards and Techniques for Representation of Multimedia Content

open access: yes, 2004
In the context of the European project MUSCLE (Multimedia Understanding through Semantics, Computation and Learning), a review of data and metadata standards and tools used to represent multimedia (MM) information is presented in this document as the preliminary step necessary to achieve the goals that the project is pursuing.
Di Bono M. G., Pieri G., Salvetti O.
openaire   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

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