Cells in the brain are surrounded by extracellular space (ECS), which forms porous nets and interconnected routes for molecule transportation. Our view of brain ECS has changed from a largely static compartment to dyn...
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Cells in the brain are surrounded by extracellular space (ECS), which forms porous nets and interconnected routes for molecule transportation. Our view of brain ECS has changed from a largely static compartment to dynamic and diverse structures that actively regulate neural activity and brain states. Emerging evidence supports that dysregulation of brain ECS contributes to the pathogenesis and development of many neurological disorders, highlighting the importance of therapeutic modulation of brain ECS function. Here, we aim to provide an overview of the regulation and dysfunction of ECS in healthy and pathological brains, as well as advanced tools to investigate properties of brain ECS. This review emphasizes modulation methods to manipulate ECS with implications to restore their function in brain diseases.
Standing spin waves in quantum spin-spiral chains are investigated using the local Pn and totalabsorbed power P. This method allows the investigation of the spin wave pattern and dispersioneven if the quantum mechanic...
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An integrated visual energy system consisting of conjugated polymer electrodes is promising for combining electrochromism with energy storage. In this work, we obtained copolymer bifunctional electrodes poly(3,6-dimet...
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Recently, the discovery of superconductivity in Ruddlesden-Popper (RP) La4Ni3O10 under pressure has further expanded the realm of nickelate-based superconductor family. In this paper, we performed a first-principle st...
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In recent years, with the increasing demand for indoor positioning, the indoor devic-less passive positioning technology based on WiFi channel state image information has developed rapidly. we propose TR-KWNN positi...
In recent years, with the increasing demand for indoor positioning, the indoor devic-less passive positioning technology based on WiFi channel state image information has developed rapidly. we propose TR-KWNN positioning algorithm. The positioning algorithm based on Time Reversal technology (TR) equalized the reverse channel to a matched filter, and used the spatio-temporal focusing characteristics of the signal to achieve high-precision position matching, so that the minimum average positioning error was 0.678m using all link information. The positioning error is below 0.78m with 80% probability, which realizes high-precision device-free positioning of static targets in indoor environment. At the same time, in order to extend the ability of positioning technology and realize the continuous positioning of indoor personnel, a variable-length continuous fingerprint separation method that is more in line with actual application scenarios is designed. It greatly reduces the cost of fingerprint database *** method introduces the voice signal endpoint detection algorithm into the WiFi positioning field by continuously sampling the target position information, and completes fingerprint separation by marking the movement time of personnel. The proposed method can effectively solve the complex problem of offline fingerprint database acquisition, and the average positioning accuracy of all the separated fingerprint data is 0.796m. Finally, the integrated system of indoor passive positioning and tracking with low complexity and continuous stability is realized.
In our study, we conduct magnetization and heat capacity measurements to investigate field-induced magnetic phase transitions within the newly synthesized compound K2Ni2(SeO3)3, a spin-1 dimer system arranged on a tri...
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In our study, we conduct magnetization and heat capacity measurements to investigate field-induced magnetic phase transitions within the newly synthesized compound K2Ni2(SeO3)3, a spin-1 dimer system arranged on a triangular lattice. From our first-principles simulations, we determine that the spin system in K2Ni2(SeO3)3 can be represented as a two-dimensional triangular-lattice spin-1 dimer model, including an intra-dimer exchange of J1=0.32meV, an inter-dimer exchange of J2=0.79meV, and an easy-axis anisotropy of D=0.14meV. The presence of easy-axis magnetic anisotropy explains the distinct magnetic phase diagrams observed under c-axis directional and in-plane magnetic fields. Notably, our investigation unveils a two-step phase transition with the magnetic field aligned with the c direction. Our findings yield valuable insights into the magnetic phase transitions inherent to geometrically frustrated magnetic systems featuring dimer structures.
Intelligent vision systems hold a unique position in the era of big data due to their high efficiency and low power consumption. Conventional intelligent vision systems with traditional image sensors are reaching the ...
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ISBN:
(数字)9798331504168
ISBN:
(纸本)9798331504175
Intelligent vision systems hold a unique position in the era of big data due to their high efficiency and low power consumption. Conventional intelligent vision systems with traditional image sensors are reaching the limit and not smart enough to address rapidly-growing computer vision applications. Energy-efficient vision sensors are therefore urgently needed for the next-generation vision systems. Spike vision sensors, possessing the ability to realize in-sensing computing with low power consumption, are one of promising candidates for the future intelligent vision systems.
Two-dimensional(2 D)covalent organic frameworks(COFs)with periodic functionalπ-electron systems are an emerging class of optoelectronic ***,almost all conjugated COFs so far are insoluble and hard to process,which ha...
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Two-dimensional(2 D)covalent organic frameworks(COFs)with periodic functionalπ-electron systems are an emerging class of optoelectronic ***,almost all conjugated COFs so far are insoluble and hard to process,which hampers severely their optoelectronic ***,a solution-processable,nanoscale and sp2 carbon-conjugated COF-like material,PDPP-C20 was successfully designed and *** solution-processed PDPP-C20 films exhibit high crystallinity and excellent charge transport properties along out-of-plane directions,combined with the highest occupied molecular orbital(HOMO)/lowest unoccupied molecular orbital(LUMO)levels of-5.36/-3.75 e V,making PDPP-C20 suitable for electronic device *** efficiency as high as 21.92%has been demonstrated when it was used as a functional interfacial layer in perovskite solar cells,coupled with dramatically improved stability in comparison with the control device due to the superior hydrophobicity of PDPP-C20 layer as well as its passivation effect on perovskite ***,the soluble PDPP-C20 could also be used as donor in bulk-heterojunction organic solar cells and an initial efficiency of 2.46%has been *** results indicate that this new class of soluble and nanoscale COF-like materials should offer a new arena of functional materials for optoelectronicdevices.
The spectral response of silicon-based CMOS image sensors has been limited from 300 nm (UVB) to 1100 nm (NIR) with a non-uniform external quantum efficiency (EQE). Breaking through this limitation can push Si-based im...
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ISBN:
(数字)9798350356830
ISBN:
(纸本)9798350356847
The spectral response of silicon-based CMOS image sensors has been limited from 300 nm (UVB) to 1100 nm (NIR) with a non-uniform external quantum efficiency (EQE). Breaking through this limitation can push Si-based image sensors towards broader-band applications such as secure surveillance and scientific instrumentation. Here, we propose a silicon-based image sensor with a five-transistor active pixel sensor (5T-APS) design that is based upon an embedded photodiode-body-biased MOSFET (PD-MOS), achieving an EQE of 639 % at 254 nm and 154 % at 1310 nm, and a wide dynamic range of over 120 dB. Furthermore, we have developed a readout circuit, and a compact hardware system that works for the 5T-APS pixel arrays.
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