Results 111 to 120 of about 471,184 (284)

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

open access: yesAdvanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang   +12 more
wiley   +1 more source

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

open access: yesAdvanced Science, EarlyView.
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari   +10 more
wiley   +1 more source

Understanding Statistical Testing

open access: yesSAGE Open, 2015
Statistical hypothesis testing is common in research, but a conventional understanding sometimes leads to mistaken application and misinterpretation.
Peter J. Veazie
doaj   +1 more source

Changes in Alcohol Retail Laws and Foot Traffic at Liquor Stores

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We study how expanding alcohol availability at grocery and convenience stores affects consumer traffic in liquor stores by leveraging recent changes in state‐level alcohol distribution laws in a difference‐in‐difference quasi‐experimental design.
Nathan Palardy   +3 more
wiley   +1 more source

Clustering of tethered satellite system simulation data by an adaptive neuro-fuzzy algorithm [PDF]

open access: yes
Recent developments in neuro-fuzzy systems indicate that the concepts of adaptive pattern recognition, when used to identify appropriate control actions corresponding to clusters of patterns representing system states in dynamic nonlinear control systems,
Mitra, Sunanda, Pemmaraju, Surya
core   +1 more source

Circularity, Sustainability, and the Quality of Coffee Sold via Vending Machines: What Do Italian Consumers Prefer?

open access: yesAgribusiness, EarlyView.
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi   +2 more
wiley   +1 more source

Does Contract Farming Improve Diet Quality? The Case of Senegalese Smallholders

open access: yesAgribusiness, EarlyView.
ABSTRACT The institution of contract farming has gained prominence in most developing countries owing to its numerous benefits. While several studies have already highlighted the welfare benefits of contract farming, very few have investigated the effects on diet quality, despite poor quality diets being a serious challenge in most parts of the ...
Francis E. Ndip, Takeshi Sakurai
wiley   +1 more source

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

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

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