Excessive production of reactive oxygen species(ROS)and bacterial infection are intractable obstacles for wound healing in diabetic foot ulcers.Here,we devised a novel approach using a multifunctional hydrogel to achi...Excessive production of reactive oxygen species(ROS)and bacterial infection are intractable obstacles for wound healing in diabetic foot ulcers.Here,we devised a novel approach using a multifunctional hydrogel to achieve self-cascade glucose depletion and ROS scavenging,thereby modifying the diabetic wound microenvironment.In this study,using polyvinyl alcohol(PVA),borax,oligomeric proanthocyanidins(OPC),and nanozymes(AuPt@PDA),a PVA/Borax/OPC/AuPt@PDA(PBON)hydrogel was prepared by a one-step process.The PBON hydrogel combined with near-infrared(NIR)treatment can match the complicated and changeable microenvironment in the diabetic high-mobility region through glucose depletion,ROS scavenging,photothermal therapy(photothermal conversion 81.9%),and deformation adaptation,thus promoting wound healing close to the hip in diabetic mice through angiogenesis and epidermal regeneration by collagen deposition.This approach provides a simple,safe,and efficient treatment for diabetic wounds in mobile regions.展开更多
We present a coherent population trapping clock system based on laser-cooled^(87)Rb atoms.The clock consists of a frequency-stabilized CPT interrogation laser and a cooling laser as well as a compact magneto-optical t...We present a coherent population trapping clock system based on laser-cooled^(87)Rb atoms.The clock consists of a frequency-stabilized CPT interrogation laser and a cooling laser as well as a compact magneto-optical trap,a highperformance microwave synthesizer,and a signal detection system.The resonance signal in the continuous wave regime exhibits an absorption contrast of~50%.In the Ramsey interrogation method,the linewidth of the central fringe is31.25 Hz.The system achieves fractional frequency stability of 2.4×10^(-11)/(√τ),which goes down to 1.8×10^(-13)at 20000 s.The results validate that cold atom interrogation can improve the long-term frequency stability of coherent population trapping clocks and holds the potential for developing compact/miniature cold atoms clocks.展开更多
In this work, the polytetrafluoroethylene (PTFE)-based composite substrates were manufactured by mixing, calendering, hot-pressing sintering. The composition of all the samples was PTFE, SiO2 and chopped E-glass fiber...In this work, the polytetrafluoroethylene (PTFE)-based composite substrates were manufactured by mixing, calendering, hot-pressing sintering. The composition of all the samples was PTFE, SiO2 and chopped E-glass fibers. The effects of content of E-glass fibers on the properties of the SiO2 filled PTFE composites were investigated, including density, water absorption, dielectric properties (εr, tanδ), coefficient of thermal expansion (CTE) and temperature coefficient of dielectric constant (τε). The compositions of inorganic materials mixture are (62 ? x) % SiO2 + x % E-glass fiber (x: mass ratio to composites, x = 0, 1, 1.5, 2, 2.5, 3). The results show that as the content of E-glass fibers is 2.5 wt.%, this composite obtains optimal properties, including excellent dielectric properties (εr^2.9123, tanδ~0.0011), acceptable water absorption of 0.075%, temperature coefficient of dielectric constant of 10 ppm/?C and coefficient of thermal expansion of 15.87 ppm/?C.展开更多
The data asset is emerging as a crucial component in both industrial and commercial applications.Mining valuable knowledge from the data benefits decision-making and business.However,the usage of data assets raises te...The data asset is emerging as a crucial component in both industrial and commercial applications.Mining valuable knowledge from the data benefits decision-making and business.However,the usage of data assets raises tension between sensitive information protection and value estimation.As an emerging machine learning paradigm,Federated Learning(FL)allows multiple clients to jointly train a global model based on their data without revealing it.This approach harnesses the power of multiple data assets while ensuring their privacy.Despite the benefits,it relies on a central server to manage the training process and lacks quantification of the quality of data assets,which raises privacy and fairness concerns.In this work,we present a novel framework that combines Federated Learning and Blockchain by Shapley value(FLBS)to achieve a good trade-off between privacy and fairness.Specifically,we introduce blockchain in each training round to elect aggregation and evaluation nodes for training,enabling decentralization and contribution-aware incentive distribution,with these nodes functionally separated and able to supervise each other.The experimental results validate the effectiveness of FLBS in estimating contribution even in the presence of heterogeneity and noisy data.展开更多
基金supported by the National Natural Science Foundation of China (No. U1804198) to MHYZhongyuan Thousand Talents Project (No. 204200510013) to FXG+1 种基金Key Scientific and Technological Research Projects in Henan Province (No. 232102311098) to RMJthe Center for Modern Analysis and Gene Sequencing, Zhengzhou University, for the facility support.
文摘Excessive production of reactive oxygen species(ROS)and bacterial infection are intractable obstacles for wound healing in diabetic foot ulcers.Here,we devised a novel approach using a multifunctional hydrogel to achieve self-cascade glucose depletion and ROS scavenging,thereby modifying the diabetic wound microenvironment.In this study,using polyvinyl alcohol(PVA),borax,oligomeric proanthocyanidins(OPC),and nanozymes(AuPt@PDA),a PVA/Borax/OPC/AuPt@PDA(PBON)hydrogel was prepared by a one-step process.The PBON hydrogel combined with near-infrared(NIR)treatment can match the complicated and changeable microenvironment in the diabetic high-mobility region through glucose depletion,ROS scavenging,photothermal therapy(photothermal conversion 81.9%),and deformation adaptation,thus promoting wound healing close to the hip in diabetic mice through angiogenesis and epidermal regeneration by collagen deposition.This approach provides a simple,safe,and efficient treatment for diabetic wounds in mobile regions.
基金supported by the National Natural Science Foundation of China(Grant No.61975194)。
文摘We present a coherent population trapping clock system based on laser-cooled^(87)Rb atoms.The clock consists of a frequency-stabilized CPT interrogation laser and a cooling laser as well as a compact magneto-optical trap,a highperformance microwave synthesizer,and a signal detection system.The resonance signal in the continuous wave regime exhibits an absorption contrast of~50%.In the Ramsey interrogation method,the linewidth of the central fringe is31.25 Hz.The system achieves fractional frequency stability of 2.4×10^(-11)/(√τ),which goes down to 1.8×10^(-13)at 20000 s.The results validate that cold atom interrogation can improve the long-term frequency stability of coherent population trapping clocks and holds the potential for developing compact/miniature cold atoms clocks.
文摘In this work, the polytetrafluoroethylene (PTFE)-based composite substrates were manufactured by mixing, calendering, hot-pressing sintering. The composition of all the samples was PTFE, SiO2 and chopped E-glass fibers. The effects of content of E-glass fibers on the properties of the SiO2 filled PTFE composites were investigated, including density, water absorption, dielectric properties (εr, tanδ), coefficient of thermal expansion (CTE) and temperature coefficient of dielectric constant (τε). The compositions of inorganic materials mixture are (62 ? x) % SiO2 + x % E-glass fiber (x: mass ratio to composites, x = 0, 1, 1.5, 2, 2.5, 3). The results show that as the content of E-glass fibers is 2.5 wt.%, this composite obtains optimal properties, including excellent dielectric properties (εr^2.9123, tanδ~0.0011), acceptable water absorption of 0.075%, temperature coefficient of dielectric constant of 10 ppm/?C and coefficient of thermal expansion of 15.87 ppm/?C.
基金supported by the Natural Science Basic Research Program of Shaanxi Program(No.2024JC-JCQN-67)the Fundamental Research Funds for the Central Universities(Nos.xzy012022083 and xxj032022012)+3 种基金the Shaanxi Province QinChuangYuan“Scientist+Engineer”Team Building Project(No.2022KXJ-054)the National Key Research and Development Program of China(No.2023YFB2703800)the National Natural Science Foundation of China(No.62206217)the China Postdoctoral Science Foundation(Nos.2022M722530 and 2023T160512).
文摘The data asset is emerging as a crucial component in both industrial and commercial applications.Mining valuable knowledge from the data benefits decision-making and business.However,the usage of data assets raises tension between sensitive information protection and value estimation.As an emerging machine learning paradigm,Federated Learning(FL)allows multiple clients to jointly train a global model based on their data without revealing it.This approach harnesses the power of multiple data assets while ensuring their privacy.Despite the benefits,it relies on a central server to manage the training process and lacks quantification of the quality of data assets,which raises privacy and fairness concerns.In this work,we present a novel framework that combines Federated Learning and Blockchain by Shapley value(FLBS)to achieve a good trade-off between privacy and fairness.Specifically,we introduce blockchain in each training round to elect aggregation and evaluation nodes for training,enabling decentralization and contribution-aware incentive distribution,with these nodes functionally separated and able to supervise each other.The experimental results validate the effectiveness of FLBS in estimating contribution even in the presence of heterogeneity and noisy data.
