4 documents found, page 1 of 1
Reinforced plant-derived lipid nanoparticles for oral precise epigenome editing...
Gao, Qiang; Gao, Yunxia; Cao, Yingui; Xu, Haiting; Ma, Ya; Zu, Menghang; Yang, Qiang; Yang, Kun; Zhu, Zhenhua; Liu, Chao; Shi, X. X.; Reis, R. L.The clinical application of CRISPR-Cas9 remains limited by delivery challenges, particularly for oral administration. Lysine-specific demethylase 1 (Lsd1) plays a key role in colonic inflammation and tumorigenesis. Here, we developed an oral genome-editing platform (TPGS-RNP@LNP), where Lsd1-targeting ribonucleoproteins (RNPs) were encapsulated in mulberry leaf lipid nanoparticles (LNPs) and formulated with d-α...
Dimensions of invasiveness: Links between local abundance, geographic range siz...
Fristoe, Trevor S; Chytrý, Milan; Dawson, Wayne; Essl, Franz; Heleno, Ruben; Kreft, Holger; Maurel, Noëlie; Pergl, Jan; Pyšek, Petr; Seebens, HannoUnderstanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have y...
An efficient adaptive modulation technique over realistic wireless communicatio...
Khan, Rahim; Yang, Qiang; NOOR, ALAM; Altaf Khattak, Sohaib Bin; Guo, Liang; Tufail, Ahsan BinA growing trend has been observed in recent research in wireless communication systems. However, several limitations still exist, such as packet loss, limited bandwidth and inefficient use of available bandwidth that needs further investigation and research. In light of the above limitations, this paper uses adaptive modulation under various parameters, such as signal to interference plus noise ratio (SINR), an...
3D convolutional neural networks based automatic modulation classification in t...
Khan, Rahim; Yang, Qiang; Ullah, Inam; Rehman, Ateeq Ur; Tufail, Ahsan Bin; NOOR, ALAM; Rehman, Abdul; Cengiz, KorhanAutomatic modulation classification is a task that is essentially required in many intelligent communication systems such as fibre-optic, next-generation 5G or 6G systems, cognitive radio as well as multimedia internet-ofthings networks etc. Deep learning (DL) is a representation learning method that takes raw data and finds representations for different tasks such as classification and detection. DL techniques...