Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry
Quantitative proteome profiling using stable isotope protein tagging and automated tandem
mass spectrometry (MS/MS) is an emerging technology with great potential for the functional …
mass spectrometry (MS/MS) is an emerging technology with great potential for the functional …
[HTML][HTML] The lncRNA H19 promotes epithelial to mesenchymal transition by functioning as miRNA sponges in colorectal cancer
…, Y Wang, WM Wang, GX Hu, L Zhang, LJ Xiao… - Oncotarget, 2015 - ncbi.nlm.nih.gov
Recently, the long non-coding RNA (lncRNA) H19 has been identified as an oncogenic
gene in multiple cancer types and elevated expression of H19 was tightly linked to …
gene in multiple cancer types and elevated expression of H19 was tightly linked to …
Ultrahigh photo-responsivity and detectivity in multilayer InSe nanosheets phototransistors with broadband response
We demonstrate the strategies and principles for the performance improvement of layered
semiconductor based photodetectors using multilayer indium selenide (InSe) as the model …
semiconductor based photodetectors using multilayer indium selenide (InSe) as the model …
[HTML][HTML] Antibody responses to SARS-CoV-2 in patients with COVID-19
…, MM Zhu, J Wang, CJ Xue, XF Li, L Wang, ZJ Li… - Nature medicine, 2020 - nature.com
We report acute antibody responses to SARS-CoV-2 in 285 patients with COVID-19. Within
19 days after symptom onset, 100% of patients tested positive for antiviral immunoglobulin-G …
19 days after symptom onset, 100% of patients tested positive for antiviral immunoglobulin-G …
Electrocatalysis in alkaline media and alkaline membrane-based energy technologies
Hydrogen energy-based electrochemical energy conversion technologies offer the promise
of enabling a transition of the global energy landscape from fossil fuels to renewable energy. …
of enabling a transition of the global energy landscape from fossil fuels to renewable energy. …
Deep convolutional neural network based regression approach for estimation of remaining useful life
Prognostics technique aims to accurately estimate the Remaining Useful Life (RUL) of a
subsystem or a component using sensor data, which has many real world applications. However…
subsystem or a component using sensor data, which has many real world applications. However…
Global context enhanced graph neural networks for session-based recommendation
Session-based recommendation (SBR) is a challenging task, which aims at recommending
items based on anonymous behavior sequences. Almost all the existing solutions for SBR …
items based on anonymous behavior sequences. Almost all the existing solutions for SBR …
Efficient multiparty quantum-secret-sharing schemes
In this work, we generalize the quantum-secret-sharing scheme of Hillery, Bužek, and
Berthiaume [Phys. Rev. A 59, 1829 (1999)] into arbitrary multiparties. Explicit expressions for the …
Berthiaume [Phys. Rev. A 59, 1829 (1999)] into arbitrary multiparties. Explicit expressions for the …
Constructing ionic highway in alkaline polymer electrolytes
Alkaline polymer electrolytes (APEs) are an emerging material that enables the use of
nonprecious-metal catalysts in electrochemical energy technology, such as fuel cell and water …
nonprecious-metal catalysts in electrochemical energy technology, such as fuel cell and water …
Pt–Ru catalyzed hydrogen oxidation in alkaline media: oxophilic effect or electronic effect?
A current challenge to alkaline polymer electrolyte fuel cells (APEFCs) is the unexpectedly
sluggish kinetics of the hydrogen oxidation reaction (HOR). A recently proposed resolution is …
sluggish kinetics of the hydrogen oxidation reaction (HOR). A recently proposed resolution is …