让空气进入
发表于 2025-3-28 18:32:24
Mengying Li,Shanliang Xue,Sijia Chengnsider the soil as a porous and finely divided medium of b- organomineral origin‚ whose physical structure and organisation foster the development of a multitude of specifically adapted organisms (microbial communities‚ roots of higher plants‚ macro-invertebrates).
indenture
发表于 2025-3-28 20:05:57
http://reply.papertrans.cn/67/6637/663637/663637_42.png
ODIUM
发表于 2025-3-29 00:07:24
http://reply.papertrans.cn/67/6637/663637/663637_43.png
休息
发表于 2025-3-29 03:43:53
http://reply.papertrans.cn/67/6637/663637/663637_44.png
Jacket
发表于 2025-3-29 10:23:01
Lov Kumar,Shashank Mouli Satapathy,Aneesh Krishnansider the soil as a porous and finely divided medium of b- organomineral origin‚ whose physical structure and organisation foster the development of a multitude of specifically adapted organisms (microbial communities‚ roots of higher plants‚ macro-invertebrates).
阐释
发表于 2025-3-29 13:14:00
Deepanway Ghosal,Md Shad Akhtar,Asif Ekbal,Pushpak Bhattacharyyation inhibitors to control urea to ammonium and ammonium to nitrate conversions in soil, as well as use of stand-off/feed pads or housing systems during high-risk periods of N loss are important strategies to minimize N.O emissions from livestock system. The use of single or multiple mitigation opti
设施
发表于 2025-3-29 15:46:11
http://reply.papertrans.cn/67/6637/663637/663637_47.png
Comprise
发表于 2025-3-29 23:00:05
http://reply.papertrans.cn/67/6637/663637/663637_48.png
亵渎
发表于 2025-3-30 02:40:03
Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprintsusing the neural graph fingerprints than the other tested untrainable descriptors. Moreover, we demonstrate that the key fragment of molecules in crystal motif formation can be found from the trained neural graph fingerprints. Our approach is promising for crystal structure prediction.
Fabric
发表于 2025-3-30 07:42:28
A Multi-indicator Feature Selection for CNN-Driven Stock Index Predictiontract abstract features of each indicator, avoiding mutual interference between different indicators. Extensive experiments support that our proposed method performs well on different stock indices and achieves higher returns than the benchmark in trading simulations, providing good potential for fu