Modulation of ion channels by natural products - identification of hERG channel inhibitors and GABAA receptor ligands from plant extracts [PDF]
Ion channels are expressed in virtually all cell types in the human body and are involved in various physiological processes. Hence, it is not surprising that ion channels play an important role in modern drug discovery.
Schramm, Anja
core +1 more source
Kineochelins-A New Group of Siderophores From an Antarctic Bacterium. [PDF]
Genome‐guided analysis of an Antarctic Actinokineospora strain led to the discovery of kineochelins, a new group of siderophores involved in iron sequestration and microbial competition. Kineochelin production inhibits co‐occurring bacteria and clinically relevant yeasts, highlighting Antarctic microorganisms as promising sources of bioactive natural ...
Kralova S +12 more
europepmc +2 more sources
Environmental Seismic Intensity scale - ESI 2007 La scala di Intensità Sismica basata sugli effetti ambientali - ESI 2007 [PDF]
- The Environmental Seismic Intensity scale (ESI 2007) is2007) is a new earthquake intensity scale only based on the effects triggered by the earthquake in the natural environment. The coseismic effects considered more diagnostic for intensity evaluation
Clague, J. +16 more
core
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
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
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 (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
Aplicación de la escala ESI-2007 para el análisis de efectos medio ambientales e intensidades en los sismos: Tumaco (Mw = 8.1, 1979) y Armenia (Mw = 6.1, 1999), Colombia [PDF]
A partir de los sismos del 25 de enero de 1999, sismo de Armenia (SA); y el del 12 de diciembre de 1979, sismo de Tumaco (ST), se realiza el análisis de efectos ambientales, estimación de intensidad, cuantificación de áreas de afectación y comparación de
Tovar Vergara, Freddy
core
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
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

