Results 251 to 260 of about 69,851 (348)

How Does Cultural and Colonial Heritage Affect Optimal Branding Strategies? Evidence From the Rice Sector in Senegal

open access: yesAgribusiness, EarlyView.
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

open access: gold, 2020
Alica Košuthová   +3 more
openalex   +1 more source

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
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

Putting the Biological Species Concept to the Test: Using Mating Networks to Delimit Species

open access: gold, 2013
Lélia Lagache   +4 more
openalex   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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