Results 171 to 180 of about 346,428 (198)

A scalable data driven geospatial framework for climate risk assessment. [PDF]

Sci Rep
Abdel-Mooty MN, Coulibaly P, El-Dakhakhni W.   +2 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Spatiotemporal analysis and risk prediction of foodborne diseases based on meteorological risk factors: a case study of Wuxi city, China. [PDF]

BMC Infect Dis
Qin K, Dai X, Wu L, Gao M.
europepmc   +1 more source

CLIVAR Exchanges No. 15. PAGES-CLIVAR Intersection: A Joint Newsletter of the Past Global Changes Project (PAGES) and the Climate Variability and Predictability Project (CLIVAR)

, 2000

core  

Emerging powers in global governance : new challenges and policy options. Preliminary draft [PDF]

, 2007
Tubiana, Laurence, Voituriez, Tancrède
core  

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Dynamic SG-SKRDX hybrid framework for precision weather forecasting and crop suitability in the Cauvery Delta. [PDF]

Sci Rep
Janani K, Alageswaran R, Amirtharajan R.
europepmc   +1 more source

De Gustibus Est Disputandum: The role of agricultural and applied economists in an era of behavior change initiatives and endogenous preferences

American Journal of Agricultural Economics, EarlyView.
Abstract Popular society increasingly questions preferences that drive many resource allocations and production decisions, with many groups actively seeking to alter those preferences to achieve changes to resource use. Agricultural and applied economists, who are already equipped with excellent technical skills to undertake consumer preference and ...
Brian E. Roe
wiley   +1 more source

Intraspecific variation in stomatal architecture, gas exchange, and drought response of a dominant prairie grass sourced from broad climatic gradients

American Journal of Botany, EarlyView.
Abstract Premise Understanding how plant populations adapt to water limitation through stomatal traits is key to predicting drought responses. The dominant C4 grass Andropogon gerardi, distributed across sharp climate gradients in North America, offers an excellent focal species to study stomatal architecture (size and density).
Jack Sytsma, Allison Ricker, Helen Winters, Brian Maricle, Ryann Patterson, Kian Fogarty, Loretta Johnson   +6 more
wiley   +1 more source

Integrated health surveillance and early warning systems in China under the One Health perspective: progress and challenges. [PDF]

Sci One Health
Li Z, Li D, Dong J, Zhu Q, Zuo Y, Pu J, Wang L, Lei W, Cai J, Cheng Q, Li Y, Yang J, Ju Y, Wu Z.   +13 more
europepmc   +1 more source