Results 111 to 120 of about 163,712 (187)
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor +3 more
wiley +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Multicatalytic Access to Renewable Poly(Silyl Ether)s with Tunable Properties
This work presents a one‐pot, multicatalytic approach that combines magnesium‐catalyzed esterification and borane‐mediated hydrosilylation for the synthesis of partially bio‐based poly(silyl ethers). This method allows for the tuning of thermal and mechanical properties, including exceptional extensibility (>3800%), and enables efficient chemical ...
Fan Yang, Fan Sun, Christophe M. Thomas
wiley +2 more sources
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
A point‐of‐care testing method based on solvent‐responsive magnetic beads suitable for large‐area diagnosis and mutation screening in remote areas was developed to detect it by combining bioluminescenct pyrophosphate in real‐time technology and recombinase‐aid amplification technology.
Zhongjie Fei +8 more
wiley +1 more source

