Results 21 to 30 of about 11,658 (158)

Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed‐Batch Fermentation Using Reinforcement Learning

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli   +3 more
wiley   +1 more source

Atomically precise metal cluster enzymes for pathological tissue regeneration

open access: yesBMEMat, EarlyView.
Schematic illustration of atomically precise metal cluster enzymes (MCEs) for pathological tissue regeneration. Atomically precise MCEs can modulate biological processes, such as attenuation of inflammatory responses, eradication of bacterial pathogens, regulation of angiogenesis, and promotion of cell development.
Ziqiang Xiong   +11 more
wiley   +1 more source

Investor Perceptions of Climate Policy: Insights From the US Inflation Reduction Act

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper provides the first event study evidence on how the Inflation Reduction Act's (IRA) dedicated climate provisions reshaped equity valuations in the US carbon‐intensive sectors. Focusing on environmentally sensitive industries (ESI), we analyze cumulative abnormal returns around the four key IRA milestones in 2022–2023.
Laura Ferraro   +3 more
wiley   +1 more source

High atmospheric pressure rescues plant growth under humidity stress: A model for climate‐resilient deep underground agriculture

open access: yesDeep Underground Science and Engineering, EarlyView.
High atmospheric pressure (120 kPa) in deep underground counteracts humidity‐induced physiological stress in plants, stabilizing water balance and enhancing antioxidative defenses. This synergy boosts biomass despite elevated humidity, demonstrating sustainable deep underground agriculture potential under climate uncertainty.
Yuxin He   +6 more
wiley   +1 more source

The 1688 Sannio–Matese Earthquake: A Dataset of Environmental Effects Based on the ESI-07 Scale

open access: yesData
The 1688 Sannio–Matese earthquake, with a macroseismically derived magnitude of Mw = 7 and an epicentral intensity of IMCS = XI, had a deep impact on Southern Italy, causing thousands of casualties, extensive damage and significant environmental effects (
Angelica Capozzoli   +4 more
doaj   +1 more source

Strategies for Identification and Mitigation of Sanguinarine in Mustard Oil Adulterated by Argemone—A Comprehensive Review

open access: yesFood Chemistry International, EarlyView.
Sanguinarine, a toxic alkaloid present in argemone, can lead to epidemic dropsy or chronic diseases through DNA intercalation and immune system suppression. Regulatory efforts face challenges due to economic motivations for adulteration as well as technical, social, and infrastructure barriers.
Gururaj Pejavara Narayana   +4 more
wiley   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

THE 7.8 Mw EARTHQUAKE AND TSUNAMI OF 16th April 2016 IN ECUADOR: Seismic Evaluation, Geological Field Survey and Economic Implications [PDF]

open access: yesScience of Tsunami Hazards, 2017
We evaluated the recent earthquake and tsunami responsible for considerable damage and 663 deaths due to a 7.8Mw movement on the 16th of April 2016.
Theofilos Toulkeridis   +10 more
doaj  

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Advancements in Mass Spectrometry-Based Glycomics in Food and Nutritional Science. [PDF]

open access: yesMass Spectrom Rev
ABSTRACT This review highlights advancements in mass spectrometry (MS)‐based glycomics in food and nutritional science. Carbohydrates, which are vital for human health, exhibit complex structures, making their analysis challenging. MS has become an indispensable tool for elucidating the structures of carbohydrates, including glycans, through soft ...
Song J, Lee H, Choe Y, Lee H.
europepmc   +2 more sources

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