Results 251 to 260 of about 69,851 (348)
Species delimitation in the Populus laurifolia complex (Salicaceae) based on phylogenetic and morphometric evidence. [PDF]
Wei X +8 more
europepmc +1 more source
Metabarcoding of fungal communities associated with bark beetles [PDF]
Hopkins, K +3 more
core +1 more source
ABSTRACT Africa's cultural and colonial heritage has profoundly segmented rice markets. Whereas in ancient centers of rice domestication, consumers maintained preferences for local rice consistent with their cultural heritage, preferences have shifted toward imported Asian rice in coastal areas around seaports, due to prior exposure to colonial import ...
Kofi Britwum, Matty Demont
wiley +1 more source
Additional file 1 of Species delimitation in the cyanolichen genus Rostania
Alica Košuthová +3 more
openalex +1 more source
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura +9 more
wiley +1 more source
Comparative Leaf Anatomy of Balkan Representatives of <i>Gentiana</i> L. Sect. <i>Ciminalis</i> (Adans.) Dum. (Gentianaceae): Implications for Species Delimitation. [PDF]
Mladenović Ž +3 more
europepmc +1 more source
Putting the Biological Species Concept to the Test: Using Mating Networks to Delimit Species
Lélia Lagache +4 more
openalex +2 more sources
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source

