Deep-Tissue Temperature Sensing Realized in BaY2O4:Yb3+/Er3+ with Ultrahigh Sensitivity and Extremely Intense Red Upconversion Luminescence
G Xiang, X Liu, Q Xia, S Jiang, X Zhou, L Li… - Inorganic …, 2020 - ACS Publications
In this paper, BaY 2 O 4 :Yb 3+ /Er 3+ , a high efficient red upconversion (UC) material, is
first utilized as an optical thermometer in the biological window, accomplished through the …
first utilized as an optical thermometer in the biological window, accomplished through the …
Flexible, low‐voltage and high‐performance polymer thin‐film transistors and their application in photo/thermal detectors
Flexible, low‐voltage electronic devices with a good response to light and temperature are
constructed from newly realized high‐performance polymer thin‐film transistors (PTFTs) …
constructed from newly realized high‐performance polymer thin‐film transistors (PTFTs) …
A flexible acetylcholinesterase-modified graphene for chiral pesticide sensor
Sensors based on graphene are promising devices for chemical and biological detection
owing to their high sensitivity, biocompatibility, and low costs. However, for chiral recognition, …
owing to their high sensitivity, biocompatibility, and low costs. However, for chiral recognition, …
A novel fluorescence biosensor for sensitivity detection of tyrosinase and acid phosphatase based on nitrogen-doped graphene quantum dots
Z Qu, W Na, X Liu, H Liu, X Su - Analytica chimica acta, 2018 - Elsevier
In this paper, we developed a sensitive fluorescence biosensor for tyrosinase (TYR) and acid
phosphatase (ACP) activity detection based on nitrogen-doped graphene quantum dots (N-…
phosphatase (ACP) activity detection based on nitrogen-doped graphene quantum dots (N-…
Analysis of logistics service supply chain for the One Belt and One Road initiative of China
This paper explored the supply chain coordination issues arising from the One Belt and One
Road initiative (OBOR), and investigated the impacts of the cost sharing contract on the key …
Road initiative (OBOR), and investigated the impacts of the cost sharing contract on the key …
A dielectric electrolyte composite with high lithium-ion conductivity for high-voltage solid-state lithium metal batteries
The ionic conductivity of composite solid-state electrolytes does not meet the application
requirements of solid-state lithium (Li) metal batteries owing to the harsh space charge layer of …
requirements of solid-state lithium (Li) metal batteries owing to the harsh space charge layer of …
Study on city digital twin technologies for sustainable smart city design: A review and bibliometric analysis of geographic information system and building information …
H Xia, Z Liu, M Efremochkina, X Liu, C Lin - Sustainable Cities and Society, 2022 - Elsevier
Geographic information system (GIS) data provide geospatial data on cities and spatial
analysis functions that are essential for urban design. Building information modeling (BIM) …
analysis functions that are essential for urban design. Building information modeling (BIM) …
Multifunctional optical thermometry based on the stark sublevels of Er3+ in CaO‐Y2O3: Yb3+/Er3+
G Xiang, X Liu, W Liu, B Wang, Z Liu… - Journal of the …, 2020 - Wiley Online Library
A conventional high temperature solid state method was utilized to prepare CaO‐Y 2 O 3 ,
which is a potential candidate for manufacturing crucible material to melt titanium and titanium …
which is a potential candidate for manufacturing crucible material to melt titanium and titanium …
A relaxor ferroelectric polymer with an ultrahigh dielectric constant largely promotes the dissociation of lithium salts to achieve high ionic conductivity
…, T Gu, G Rui, P Shi, W Fu, L Chen, X Liu… - Energy & …, 2021 - pubs.rsc.org
The extremely low room-temperature ionic conductivity of solid-state polymer electrolytes (SPEs)
ranging from 10−7 to 10−5 S cm−1 seriously restricts their practical application in solid-…
ranging from 10−7 to 10−5 S cm−1 seriously restricts their practical application in solid-…
Hard negative examples are hard, but useful
Triplet loss is an extremely common approach to distance metric learning. Representations
of images from the same class are optimized to be mapped closer together in an embedding …
of images from the same class are optimized to be mapped closer together in an embedding …