It is generally believed that the equal distribution of genetic materials to two daughter cells during mitosis is the key to cell health and development. During the dynamic process, spindle checkpoint plays a very imp...It is generally believed that the equal distribution of genetic materials to two daughter cells during mitosis is the key to cell health and development. During the dynamic process, spindle checkpoint plays a very important role in chromosome movements and final sister chromatid separation. The equal and precise segregation of chromosomes contributes to the genomic stability while aberrant separations result in chromosome instability that causes pathogenesis of certain diseases such as Down’s syndrome and cancers. Kinetochore and its regulatory proteins consist of the spindle checkpoint and determine the spatial and temporal orders of chromosome segregation.展开更多
Single-.nanowire solar cells with a unique light-concentration property are expected to exceed the Shockley-Queisser limit.The architecture of single nanowire is an important factor to regulate its optical performance...Single-.nanowire solar cells with a unique light-concentration property are expected to exceed the Shockley-Queisser limit.The architecture of single nanowire is an important factor to regulate its optical performance.We designed a trilobal silicon nanowire(SiNW)with two cquivalent scales that possesses superior light-absorption efficiency in the whole wavelength range and shows good tolerance for incident angle.The electric field distribution in this geometry is concentrated in the blade with small equivalent scale and pivot with large equivalent scale,respectively,in the short wavelength range and long wavelength range.Corresponding good light absorption of trilobal SiNW in the two wavelength ranges leads to stronger total light absorption capacity than that of cylindrical SiNW.Trilobal single nanowire solar cells can obtain a short-circuit current density(JSC)of 647 mA·cm^2,which provides a new choice for designing single nanowire with excellent light-capture capability.展开更多
Wireless local area network(WLAN)has gained widespread application as a convenient network access method,demanding higher network efficiency,stability,and responsiveness.High-performance filters are crucial components...Wireless local area network(WLAN)has gained widespread application as a convenient network access method,demanding higher network efficiency,stability,and responsiveness.High-performance filters are crucial components to meet these needs.Film bulk acoustic resonators(FBARs)are ideal for constructing these filters due to their high-quality factor(Q)and low loss.In conventional air-gap type FBAR,aluminum nitride(AlN)is deposited on the sacrificial layer with poor crystallinity.Additionally,FBARs with single-crystal AlN have high internal stress and complicated fabrication process.These limit the development of FBARs to higher frequencies above 5 GHz.This paper presents the design and fabrication of FBARs and filters for WLAN applications,combining the high electromechanical coupling coefficient(K_(t)^(2))of Al_(0.8)Sc_(0.2)N film with the advantages of the thin film transfer process.An AlN seed layer and 280 nm-thick Al_(0.8)Sc_(0.2)N are deposited on a Si substrate via physical vapor deposition(PVD),achieving a full width at half maximum(FWHM)of 2.1°.The ultra-thin film is then transferred to another Si substrate by wafer bonding,flipping,and Si removal.Integrating conventional manufacturing processes,an FBAR with a resonant frequency reaching 5.5 GHz is fabricated,demonstrating a large effective electromechanical coupling coefficient(k_(eff)^(2))of 13.8%and an excellent figure of merit(FOM)of 85.A lattice-type filter based on these FBARs is then developed for the Wi-Fi UNII-2 band,featuring a center frequency of 5.5 GHz and a−3 dB bandwidth of 306 MHz,supporting high data rates and large throughputs in WLAN applications.展开更多
Depth completion is the task of recovering dense depth map from sparse ones,usually with the help of color images.Existing image guided methods perform well on daytime depth perception self-driving benchmarks,but stru...Depth completion is the task of recovering dense depth map from sparse ones,usually with the help of color images.Existing image guided methods perform well on daytime depth perception self-driving benchmarks,but struggle in nighttime scenarios with poor visibility and complex illumination.To address these challenges,we propose a simple yet effective learnable differencing center network(LDCNet).The key idea is to use recurrent inter-convolution differencing(RICD)and illumination affinitive intra-convolution differencing(IAICD)to enhance the nighttime color images and reduce the negative effects of the varying illumination,respectively.RICD explicitly estimates global illumination by differencing two convolutions with different kernels,treating the small-kernel-convolution feature as the center of the large-kernel-convolution feature in a new perspective.IAICD softly alleviates the local relative light intensity by differencing a single convolution,where the center is dynamically aggregated based on neighboring pixels and the estimated illumination map in the RICD.On both nighttime depth completion and depth estimation tasks,extensive experiments demonstrate the effectiveness of our LDCNet,reaching the state of the art.展开更多
基金This work was supported partly by the State Funds for Outstanding Young Scientists (Granted No. 39925018)the Chinese Academy of Sciences (Grant No. KSCX2-2-01).
文摘It is generally believed that the equal distribution of genetic materials to two daughter cells during mitosis is the key to cell health and development. During the dynamic process, spindle checkpoint plays a very important role in chromosome movements and final sister chromatid separation. The equal and precise segregation of chromosomes contributes to the genomic stability while aberrant separations result in chromosome instability that causes pathogenesis of certain diseases such as Down’s syndrome and cancers. Kinetochore and its regulatory proteins consist of the spindle checkpoint and determine the spatial and temporal orders of chromosome segregation.
文摘Single-.nanowire solar cells with a unique light-concentration property are expected to exceed the Shockley-Queisser limit.The architecture of single nanowire is an important factor to regulate its optical performance.We designed a trilobal silicon nanowire(SiNW)with two cquivalent scales that possesses superior light-absorption efficiency in the whole wavelength range and shows good tolerance for incident angle.The electric field distribution in this geometry is concentrated in the blade with small equivalent scale and pivot with large equivalent scale,respectively,in the short wavelength range and long wavelength range.Corresponding good light absorption of trilobal SiNW in the two wavelength ranges leads to stronger total light absorption capacity than that of cylindrical SiNW.Trilobal single nanowire solar cells can obtain a short-circuit current density(JSC)of 647 mA·cm^2,which provides a new choice for designing single nanowire with excellent light-capture capability.
基金supported by the Young Scientists Fund of the National Natural Science Foundation of China under Grant 62204177the National Key R&D Program of China under Grant 2022YFB3207101+1 种基金the Fundamental Research Funds for the Central Universities under Grant 2042023kf0218the Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration(Wuhan University)under Grant EMPI2023025.
文摘Wireless local area network(WLAN)has gained widespread application as a convenient network access method,demanding higher network efficiency,stability,and responsiveness.High-performance filters are crucial components to meet these needs.Film bulk acoustic resonators(FBARs)are ideal for constructing these filters due to their high-quality factor(Q)and low loss.In conventional air-gap type FBAR,aluminum nitride(AlN)is deposited on the sacrificial layer with poor crystallinity.Additionally,FBARs with single-crystal AlN have high internal stress and complicated fabrication process.These limit the development of FBARs to higher frequencies above 5 GHz.This paper presents the design and fabrication of FBARs and filters for WLAN applications,combining the high electromechanical coupling coefficient(K_(t)^(2))of Al_(0.8)Sc_(0.2)N film with the advantages of the thin film transfer process.An AlN seed layer and 280 nm-thick Al_(0.8)Sc_(0.2)N are deposited on a Si substrate via physical vapor deposition(PVD),achieving a full width at half maximum(FWHM)of 2.1°.The ultra-thin film is then transferred to another Si substrate by wafer bonding,flipping,and Si removal.Integrating conventional manufacturing processes,an FBAR with a resonant frequency reaching 5.5 GHz is fabricated,demonstrating a large effective electromechanical coupling coefficient(k_(eff)^(2))of 13.8%and an excellent figure of merit(FOM)of 85.A lattice-type filter based on these FBARs is then developed for the Wi-Fi UNII-2 band,featuring a center frequency of 5.5 GHz and a−3 dB bandwidth of 306 MHz,supporting high data rates and large throughputs in WLAN applications.
基金supported by the National Science Fund of China(No.62072242 and No.62361166670)the Young Scientists Fund of the National Natural Science Foundation of China(No.62206134)+1 种基金the Fundamental Research Funds for the Central Universities(No.070-63233084)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX23_0471).
文摘Depth completion is the task of recovering dense depth map from sparse ones,usually with the help of color images.Existing image guided methods perform well on daytime depth perception self-driving benchmarks,but struggle in nighttime scenarios with poor visibility and complex illumination.To address these challenges,we propose a simple yet effective learnable differencing center network(LDCNet).The key idea is to use recurrent inter-convolution differencing(RICD)and illumination affinitive intra-convolution differencing(IAICD)to enhance the nighttime color images and reduce the negative effects of the varying illumination,respectively.RICD explicitly estimates global illumination by differencing two convolutions with different kernels,treating the small-kernel-convolution feature as the center of the large-kernel-convolution feature in a new perspective.IAICD softly alleviates the local relative light intensity by differencing a single convolution,where the center is dynamically aggregated based on neighboring pixels and the estimated illumination map in the RICD.On both nighttime depth completion and depth estimation tasks,extensive experiments demonstrate the effectiveness of our LDCNet,reaching the state of the art.
