Results 191 to 200 of about 223,962 (308)
Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?
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 +2 more
wiley +1 more source
An American Story of a Health System Dilemma: The Slave Health Deficit and Post-Traumatic Slavery Stress Disorder (PTSSD). [PDF]
Hood RG.
europepmc +1 more source
Race, class, and community in a southern forest-dependent region
Chris Colocousis, Luke Rogers
openaire +2 more sources
Emergent ecosystem for radical innovation : entrepreneurial probing at formula E [PDF]
Jarvenpaa, Sirkka, Standaert, Willem
core +1 more source
AI in chemical engineering: From promise to practice
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 +4 more
wiley +1 more source
mHealth Intervention to Improve Hypertension Care in High-Risk Patients. [PDF]
Lakshminarayan K +13 more
europepmc +1 more source
The Way Forward: Permissible and Effective Race-Conscious Strategies for Avoiding Racial Segregation in Diverse School Districts [PDF]
Laura Petty
core +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
The evolutionary genomics of meiotic drive. [PDF]
Presgraves DC +24 more
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source

