A5101314496- Electric Vehicles and Infrastructure
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Immune cells in cancer
- Advanced Battery Technologies Research
- Congenital heart defects research
- Melanoma and MAPK Pathways
- Cancer Mechanisms and Therapy
- Chromatin Remodeling and Cancer
- Electric and Hybrid Vehicle Technologies
- Glioma Diagnosis and Treatment
- Anesthesia and Neurotoxicity Research
- Biochemical and Molecular Research
- Histone Deacetylase Inhibitors Research
- Speech and Audio Processing
- Quantum optics and atomic interactions
- Optical Coatings and Gratings
- Speech Recognition and Synthesis
- Effects of Radiation Exposure
- Acute Myeloid Leukemia Research
- Protein Tyrosine Phosphatases
- Photonic and Optical Devices
- Surface Modification and Superhydrophobicity
- Hybrid Renewable Energy Systems
- Advanced Fiber Optic Sensors
Tsinghua University
2024
University of South China
2024
Zhejiang Medicine (China)
2024
State Key Joint Laboratory of Environment Simulation and Pollution Control
2024
Beijing University of Chinese Medicine
2023
Northwest University
2011-2015
Peking University
2010
The dual inhibition of SIK2/3 has been considered as a potential treatment approach for MEF2C-high acute myeloid leukemia (AML). Although diverse scaffolds pan-SIK or inhibitors have reported, few them showed sufficient in vitro vivo antitumor activity. Based on the proposed binding mode hit molecule (7), chemical space solvent/P-loop region was explored via fragment growing/replacement, supported by generative chemistry platform. Further SAR exploration and ADME optimization led to...
Hematopoietic progenitor kinase 1 (HPK1) has emerged as an attractive target for immunotherapy due to its critical role in T cell activation and proliferation. The major challenge developing HPK1 inhibitors lies balancing selectivity, pharmacokinetic (PK) properties, therapeutic efficacy. In this study, we report a series of pyridine-2-carboxamide analogues demonstrating strong inhibitory activity enzymatic cellular assays, along with good selectivity. Among these analogues, compound
In this work we present a study of the far-field diffraction intensity patterns in Rb atomic medium. It is found that are intimately related to incident frequency, power, number density and position sample. The results demonstrate can sensitively reflect nonlinear optical properties information obtained meaning application fields, such as nonlinearity medium measuring, limiting.
Abstract Loss of function mutations in DNA mismatch repair genes can result microsatellite instabilities (MSI) and high levels MSI (MSI-H) contributes to tumorigenesis is frequently observed endometrial carcinoma, gastric cancer, colorectal cancer. Although immune checkpoint inhibitors have been approved for the treatment MSI-H tumors, there still a large proportion patients with tumors who fail respond these therapies. Recently, two independent genome-wide loss screens identified Werner...
The electrification of heavy-duty trucks is a major challenge in achieving zero-emission transportation. Despite the great ambition to promote electric (ETs), their current sales are nascent now across world compared with soaring number cars or buses. In this study, we gathered year-long real-world monitoring records 45 million trips from 60,418 China (over one third 2021 global stock). Compared similar dataset diesel (DTs), significant underusage was unveiled as truck deployment. We...
Background: Thrombosis is a major cause of morbimortality in polycythemia vera (PV) patients. Over-activated neutrophils could contribute to thrombosis, but the role thrombosis PV patients have not been clearly elucidated.Methods: In retrospective study, impacts clinical variables on were analyzed by performing univariate and multivariate logistic regression analyses. A correlation analysis between absolute neutrophil count (ANC) hypercoagulable state was established. bioinformatics GSE54644...
In this paper, we apply the k-climax neighbors (k-CN) policy derived from Bayesian Ying-Yang (BYY) learning framework to Viterbi decoding for Hidden Markov Model based large vocabulary mandarin speech recognition, adaptively obtain a more precise state decision boundary in phase. When calculating posterior probability each on given frame, k Gaussian components these states are selected by k-CN as most reliable descriptions, which make boundaries among competitive candidate precise. The...