Results 131 to 140 of about 13,877 (197)
Transforming Life Science Through Chromosome‐Level Genome Assemblies
Chromosome‐level genome assemblies provide a framework for “glocal biology” in species of interest, linking local molecular features to chromosome architecture and evolutionary context. When integrated with pangenome analysis, comparative multi‐omics, genome language models, and experimental approaches, these assemblies enable hypothesis generation and
Tetsuo Kon +7 more
wiley +1 more source
Direct Policy Search for a Risk‐Based Levee Design Framework With Scenario Reduction
ABSTRACT Risk‐based management of coastal flood risk using realistic, process‐based models poses computational challenges, particularly when addressing uncertainties like sea‐level rise. This study explores the use of direct policy search (DPS) as a state‐dependent, adaptive decision‐making approach for upgrading levee systems.
Jingya Wang, David R. Johnson
wiley +1 more source
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
Summary Arbuscular mycorrhizal fungi (AMF) are widespread plant symbionts that enhance nutrient acquisition and influence ecosystem productivity. Previous chromosome‐level assemblies of the model species Rhizophagus irregularis revealed a two‐compartment genome architecture (active A and repressed B chromatin compartments), yet its conservation across ...
Ken Mugambi +10 more
wiley +1 more source
ABSTRACT Hydrological risk is a growing challenge for renewable power systems, as droughts reduce generation, increase costs, and expose gaps in risk‐transfer mechanisms. We examine this problem in Brazil, home to the world's sixth‐largest electricity system and highly dependent on hydroelectricity, which accounted for 43% of installed generation ...
Nathalia Costa Fonseca +3 more
wiley +1 more source
ABSTRACT Urban economic forecasting is crucial for the formulation of a macroeconomic development strategy for a region toward harmonious socio‐economic and ecological progress. Cellular Automata (CA) enables fine‐grained urban economic modeling, but its conventional discrete‐state structure performs poorly when handling continuous economic variables ...
Yao Yao +7 more
wiley +1 more source
Indo-Pak Comparison Of COVID-19 By ARIMA Model: A Secondary Analysis
Ajaz O, Irfan M, Amjad M, Siddiqa A.
europepmc +1 more source
Brief Analysis of the ARIMA model on the COVID-19 in Italy
Ding G, Li X, Jiao F, Shen Y.
europepmc +1 more source
Forecasting the spread of COVID-19 pandemic in Bangladesh using ARIMA model
Kundu LR +3 more
europepmc +1 more source

