A5015586553- Supercapacitor Materials and Fabrication
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Layered Double Hydroxides Synthesis and Applications
- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Human Mobility and Location-Based Analysis
- Advanced Database Systems and Queries
- Spam and Phishing Detection
- Advancements in Battery Materials
- Advanced Data Storage Technologies
- Data Management and Algorithms
- Traffic Prediction and Management Techniques
- Chemical Synthesis and Analysis
- Data Mining Algorithms and Applications
- Nonlinear Dynamics and Pattern Formation
- Advanced Image and Video Retrieval Techniques
- Transportation Planning and Optimization
- Advanced battery technologies research
- Nanomaterials for catalytic reactions
- Caching and Content Delivery
- Advanced Text Analysis Techniques
- Web Data Mining and Analysis
- Aerogels and thermal insulation
University of Science and Technology of China
2015-2024
North Minzu University
2022-2024
State Ethnic Affairs Commission
2022-2024
WuXi AppTec (China)
2016-2021
Inner Mongolia Agricultural University
2017
China Jiliang University
2012-2016
Merck & Co., Inc., Rahway, NJ, USA (United States)
2016
Shenyang University of Technology
2015
Institute of Modern Physics
2012-2014
China Geological Survey
2014
We report the total synthesis of enlicitide decanoate, an orally bioavailable inhibitor proprotein convertase subtilisin/kexin type 9 that is being developed for treatment atherosclerotic cardiovascular disease. It a highly complex macrocyclic peptide with significant number nonpeptide structural elements presents daunting synthetic chemistry challenge. describe development convergent, efficient, and robust manufacturing process enables large-scale production enlicitide.
Neural machine translation (NMT) heavily relies on parallel bilingual data for training. Since large-scale, high-quality corpora are usually costly to collect, it is appealing exploit monolingual improve NMT. Inspired by the law of total probability, which connects probability a given target-side sentence conditional translating from source target one, we propose explicitly this connection learn and regularize training NMT models using data. The key technical challenge approach that there...
The pre-training models such as BERT have achieved great results in various natural language processing problems. However, a large number of parameters need significant amounts memory and the consumption inference time, which makes it difficult to deploy them on edge devices. In this work, we propose knowledge distillation method LRC-BERT based contrastive learning fit output intermediate layer from angular distance aspect, is not considered by existing methods. Furthermore, introduce...
Sandwich-like Ti 3 C 2 @LDHs were synthesized in a hydrothermal manner. The mass-specific capacitance of @NiV-LDHs and @NiCo-LDHs composite electrodes improved thanks to the excellent electrical conductivity .
Vanadium-based hydrotalcite materials have attracted much attention in supercapacitor electrodes due to their polyvalent properties. Nevertheless, the weak electrical conductivity of limits its further development. In order overcome this problem, nanoflowers P-NiV-LDHs-8 and Se-NiV-LDHs-1 were obtained by ingenious modification on surface nanoflower microlamellae NiV-LDHs. Compared with Se-NiV-LDHs-x (x = 0.5, 2), P-NiV-LDHs-x 4, 12), NiV-LDHs, Ni2P, NiSe2, better mass-specific capacity...
Abstract In recent years, as the amount of seismic data has grown rapidly, it is very important to develop a fast and reliable event detection association algorithm. Generally, first performed on individual stations followed by through linking phase arrivals common generating them. This study considers earthquake problem image classification convolutional neural networks (CNNs), some widely used deep-learning tools in processing, can be well solve this problem. contrast existing studies...
Short-term road traffic speed prediction is a long-standing topic in the area of Intelligent Transportation System. Apparently, effective on can not only provide timely details for navigation system concerned and help drivers to make better path selection, but also greatly improve supervision efficiency department. At present, some researches based GPS data, by adding weather other auxiliary information, using graph convolutional neural network capture temporal spatial characteristics, have...
For better user satisfaction and business effectiveness, more attention has been paid to the sequence-based recommendation system, which is used infer evolution of users’ dynamic preferences, recent studies have noticed that preferences can be understood from implicit explicit feedback sequences. However, most existing techniques do not consider noise contained in feedback, will lead biased representation interest a suboptimal performance. Meanwhile, methods utilize item sequence for...
The development of a scalable asymmetric route to new calcitonin gene-related peptide (CGRP) receptor antagonist is described. synthesis the two key fragments was redefined, and intermediates were accessed through novel chemistry. Chiral lactam 2 prepared by an enzyme mediated dynamic kinetic transamination which simultaneously set stereocenters. Enzyme evolution resulted in optimized transaminase providing desired configuration >60:1 syn/anti. final chiral center via crystallization induced...
A scalable and efficient synthesis of the GPR40 agonist MK-8666 was developed from a simple pyridine building block. The key step to set stereochemistry at two centers relied on an enzymatic dynamic kinetic reduction unactivated ketone. Directed evolution leveraged generate optimized ketoreductase that provided desired trans alcohol in >30:1 dr >99% ee. Further, it demonstrated all four diastereomers this hydroxy-ester could be prepared high yield selectivity. Subsequently, challenging...
Coupling hydroxides with highly conductive materials has become an effective means to solve their conductivity and stability issues in supercapacitors. Herein, a nanoflower nickel–vanadium layered double hydroxide/graphdiyne (NiV-LDHs/GDY) compound was obtained via two-step strategy which corrected the shortcomings of poor electrical NiV-LDHs. The NiV-LDHs/GDY occupies preferable mass-specific capacitance 1397 F g–1 (1 A g–1), rate performance 70.01% (20 durability 100.00% after 5000 cycles...
An efficient route to the HCV antiviral agent uprifosbuvir was developed in 5 steps from readily available uridine 50% overall yield.
The charge conductivity properties and ionic delivery of pseudocapacitive materials are important factors for the storage process. Herein, new petal‐like S‐NiV‐layered double hydroxide (LDH) successfully synthesized by a presynthetic solvothermal reaction sulfidation modification procedure. specific capacitance S‐NiV‐LDHs electrode reaches 1403 F g −1 when current density is 1 A , this attributed to Ni 3 S 2 formed on surface NiV‐LDHs. When up 20 rate performance 65.04%. It can be seen that...
Conventional interactive machine translation typically requires a human translator to validate every generated target word, even though most of them are correct in the advanced neural (NMT) scenario. Previous studies have exploited confidence approaches address intensive involvement issue, which request guidance only for few number words with low confidences. However, such do not take history into account, and optimize models quality while ignoring cost involvement. In response these...