Optimization of the flowering time in wheat is an important breeding target for its adaptability in target environments.Flowering time is controlled by vernalization, photoperiod, and the relatively poorly characterized earliness per se (Eps) genes.When vernalization and photoperiod criteria are met, Eps genes account for the variance in flowering
Wai Yin Li,1 Cheuk Yan Lee,1 Kwan Ming Lee,2 Ge Zhang,1,3 Aiping Lyu,1,3 Kevin Kin Man Yue1 1School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, People’s Republic of China; 2Department of Biology, Hong Kong Baptist University, soiebiologique.com Hong Kong, People’s Republic of China; 3Institute for Advancing Translation
While deep learning techniques have been extensively employed in malware detection, acupatch there is a notable challenge in effectively embedding malware features.Current neural network methods primarily capture superficial characteristics, lacking in-depth semantic exploration of functions and failing to preserve structural information at the fil