Results 141 to 150 of about 1,496 (254)

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Rediscovering fire. [PDF]

Proc Natl Acad Sci U S A
Pyne S.
europepmc   +1 more source

Living side by side with nature: evidence of self-governance in three local communities in Indonesia. [PDF]

Heliyon, 2022
Wicaksono A, Yunita I, Ginaya G.
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Revisiting the Definition and Recognition of Indigenous Peoples and Local Communities for Biodiversity Conservation. [PDF]

Ecol Evol
Ahammad R, Sangha K, Evans J, Metcalfe O.   +3 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Customary Forest Development in Indonesia: Opportunity and Challenge (A Literature Review)

The Japanese Forest Society Congress, 2022
Imam Budiman, Eko Pujiono
openaire   +1 more source

The decline of local wisdom in managing the Wain River protected forest near Indonesia's new capital city buffer zone. [PDF]

PLoS One
Geria IM, Handini R, Purwanti E, Juliawati NPE, Wibowo UP, Arsana IGKD, Suparta IW, Simanjuntak T, Sofian HO, Nastiti TS, Sudiartha GAW, Kurniadi AP.   +11 more
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Assessing the Impact of Customary Ownership of Trees and Socioeconomic Factors on the Participatory Forest Management in Jharkhand, India. [PDF]

Environ Manage
Kar S, Subedi MR, Kadam P, Dwivedi P.
europepmc   +1 more source