Results 241 to 250 of about 565,216 (272)

Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?

Agribusiness, EarlyView.
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan, Halit Yanıkkaya, Hüseyin Alperen Özer   +2 more
wiley   +1 more source

Assessing WildfireGPT: a comparative analysis of AI models for quantitative wildfire spread prediction. [PDF]

Nat Hazards (Dordr)
Ramesh M, Sun Z, Li Y, Zhang L, Annam SK, Fang H, Tong D.   +6 more
europepmc   +1 more source

When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis

Agribusiness, EarlyView.
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang, Andrew E. Anderson, Nicholas J. Pates, Eunchun Park   +3 more
wiley   +1 more source

Degradation trends in lakes and wetlands of Iran and their contribution to dust pollution. [PDF]

Sci Rep
Samadi-Todar SA, Ebrahimi-Khusfi Z, Ebrahimi-Khusfi M.   +2 more
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Nutritional life cycle assessment for healthy and sustainable food systems: evidence and policy insights from Africa and Asia. [PDF]

Front Nutr
McAuliffe GA, Ortenzi F, van der Pols JC, Nemecek T, Colston J, Beal T.   +5 more
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Biodiversity benefits of China's 20-year efforts in forest restoration. [PDF]

Nat Commun
Wang B, Wen Z, Que P, Zhang T, He X, Yang N, Zhong X, Xu Y.   +7 more
europepmc   +1 more source