Results 221 to 230 of about 469,714 (301)

An Integrated Approach Combining Surface Plasmon Resonance Screening with Proteomics Enables Discovery of Natural Molecular Glue Degraders. [PDF]

JACS Au
Yang Y, Zhu R, Liang J, Yan H, Zhang H, Tian J, Zhang R, Liu X, Liu Y, Li H, Chen L.   +10 more
europepmc   +1 more source

Assessing Agricultural Green Total Factor Productivity in Latin America

Agribusiness, EarlyView.
ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li, Vanessa Ormeño‐Candelario, Xueli Chen   +2 more
wiley   +1 more source

Long-Term Excess Nitrogen Fertilizer Reduces Sorghum Yield by Affecting Soil Bacterial Community. [PDF]

Plants (Basel)
Wang Q, Huang J, Zhang Y, Li Z, Wei L, Yin X, Zhang X, Zhou Y.   +7 more
europepmc   +1 more source

Consumers' Willingness to Pay a Premium for Climate‐Friendly Food Production: The Role of Production Method Information and Social Norms

Agribusiness, EarlyView.
ABSTRACT This study examines whether information about production methods and social norms can increase consumers' willingness to pay (WTP) a price premium for food produced using climate‐friendly farming methods. A randomized survey experiment was conducted with 1568 respondents across Denmark, Lithuania, and Spain, who were assigned to one of four ...
Kassa Tarekegn Erekalo, Tove Christensen, Sigrid Denver, Marilena Gemtou, Spyros Fountas, Søren Marcus Pedersen   +5 more
wiley   +1 more source

The Effects of Hormone Diets with Different 17β-Estradiol Levels on Growth and Feminization in Long-Whiskered Catfish (Mystus gulio) Larvae Using Conventional and Microencapsulated Feed. [PDF]

Animals (Basel)
Dokkaew S, Songdum K, Prachom N, Boonyung W, Kitikiew S, Khamphet K, Waicharoen P, Na-Nakorn U, Paankhao N, Uchuwittayakul A, Kantha P.   +10 more
europepmc   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

AIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse, Ronald W. Rousseau, Martha A. Grover   +2 more
wiley   +1 more source

Nanotetrapods promote polymer flow through confinement induced packing frustration. [PDF]

Nat Commun
Sarkar J, Gautham SMB, Ali F, Madhusudanan M, Yadav H, Datta A, Patra TK, Chandran S, Chowdhury M.   +8 more
europepmc   +1 more source

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

Advanced 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

Bioremediation of aquaculture wastewater using the fungal biomass integrating Plackett-Burman design. [PDF]

Biodegradation
Abd El-Hamid HT, El-Alfy MA, Hafiz HM, El-Gharabawy HM.   +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