We report a 16.8 Tb/s true random number generator (TRNG) based on amplified spontaneous emission (ASE) of Erbium-doped fiber amplifier (EDFA), which is sliced into 42 parallel channels by an arrayed ...waveguide grating (AWG). The true randomness of ASE is enhanced and guaranteed by a novel extraction approach utilizing two orthogonal polarized components of ASE. Consequently, the random number generation rate (RNGR) can be significantly increased via higher sampling rate. The experimental results show that, the single-channel RNGR of 400 Gb/s is achieved, while the overall RNGR is 16.8 Tb/s for the full ASE spectrum. The proposed TRNG is of great significance in the field of secret key distribution and confidential communication.
A mild and efficient tool to construct structurally diverse N/O spiroheterocycles
via
Rh(
iii
)-catalyzed 3+3 cascade spiroannulation of benzoxazines with 1-diazonaphthalen-2(1
H
)-ones has been ...developed. The desired spirooxazine-pyrans could be afforded in up to 99% yields at room temperature within 30 min. This transformation involves C-H activation, tautomerization, and intramolecular nucleophilic addition in a "one-pot" manner. In addition, this catalytic system features high efficiency, atomic economy, wide functional group tolerance and extremely mild reaction conditions.
A redox-neutral access to spirooxazine-pyrans has been realized
via
Rh(
iii
)-catalysed 3+3 cascade spirocyclization of benzo
b
1,4oxazines and 1-diazonaphthalen-2(1
H
)-ones under extremely mild reaction conditions.
Affibody is a new class of small non-immunoglobulin affinity proteins that possesses high affinity at the picomole level to several tumor overexpressed receptors. Owing to the simple framework, ...affibody is flexible for modification with payload, but the relatively low molecular weight of this construction simultaneously results in short half-life time which hinders its application in cancer therapy. In this work, we prepared a nanomedicine self-assembled from the conjugate of affibody (Z
PDGFRβ:09591
, PDGFRβ: platelet-derived growth factor receptor β) with monomethyl auristatin E (MMAE) through cathepsin B cleavable dipeptide linker for targeted colorectal cancer therapy. The nanoscale characteristics of Z
PDGFRβ:09591
-MMAE affibody-drug conjugate nanomedicine (Z
PDGFRβ:09591
-M ADCN) resulted in enhanced pharmacokinetics, improved drug accumulation, and promoted biosecurity performance than those of free drugs. As a result, Z
PDGFRβ:09591
-M ADCN exhibited excellent antitumor efficacy with tumor inhibition rates (TIR) over 99.0% in PDGFRβ-positive tumor models with small solid tumors (∼ 150 mm
3
) or large established tumors (∼ 500 mm
3
), indicating that Z
PDGFRβ:09591
-MMAE ADCN is promising for the clinic application in colorectal cancer therapy.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Super-liquid-repellent (SLR) surfaces based on surface micro/nanotextures are generally regarded as “non-wettable”, though careful examination shows that residual microdroplets remain atop surface ...textures upon drop shedding-off. Despite its great importance, the origin of microscopic liquid residues remains poorly explored, and how to suppress residue formation is an open question. Herein, on the basis of high-speed microscopic imaging and numerical simulations, we resolve the fast formation dynamics of liquid residues on micropillared SLR surfaces and show that the competition of contact line receding on micropillars and the pinch-off of microcapillary bridges governs residue formation. The local receding angle can temporarily reduce to be drastically lower than the intrinsic one accompanying occurrence of accelerated contact line receding, inevitably leading to capillary bridge pinch-off and residue formation. We further show a liquid-like coating can delay capillary bridge pinch-off and reduce residue volume on SLR surfaces by more than 80% compared to those with conventional perfluoroalkylsilane coatings.
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IJS, KILJ, NUK, PNG, UL, UM
Scale formation is a significant problem in a wide range of industries, including water treatment, food processing, power plants, and oilfield production. While surface modification provides a ...promising methodology to address this challenge, it has generally been believed that surface coatings with the lowest surface energy, such as fluorocarbon coatings, are most suitable for antiscaling applications. In contrast to this general knowledge, here we show that a liquid-like coating featuring highly mobile linear poly(dimethylsiloxane) (LPDMS) brush chains can bring an even better antiscaling performance than conventional perfluoroalkylsilane coatings, despite the fact that the former has much higher surface energy than the latter. We demonstrate that the LPDMS brush coating can more effectively inhibit heterogeneous nucleation of scale on a substrate compared with common perfluoroalkylsilane or alkylsilane coatings, and the dynamic liquid-like characteristic of the LPDMS brush coating is speculated to be responsible for its excellent nucleation inhibiting ability by reducing the affinity and effective interface interaction between the substrate and the scale nucleus. Our findings reveal the great prospect of using liquid-like coating to replace environmentally hazardous fluorine-containing organic ones as a green and cost-effective solution to address the scale problem with enhanced antiscaling performance.
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IJS, KILJ, NUK, PNG, UL, UM
In this paper, we study the general lump-type solutions of the (3+1)-dimensional Jimbo–Miwa equation via Hirota bilinear method and the ansatz technique. In contrast with lump solutions presented ...before, we firstly find a general quadratic function solution of the transformed bilinear Jimbo–Miwa equation and then expand it as the sums of squares of linear functions to satisfy analyticity condition. Especially, we get a lump-type solution with fifteen parameters which possess eleven arbitrary independent parameters and four constraint conditions. This solution supplements the existing lump-type solutions obtained previously in the literature. Finally, we conclude that there are only two linearly independent non-constant linear functions in the summation for a positive quadratic function solution.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
MAVS is a critical adaptor required for activating an innate antiviral immune response against viral infection. The activation of MAVS requires modification of the Lys63-linked ubiquitination and ...formation of prion-like aggregates. However, the molecular mechanisms regulating MAVS activity remain largely obscured. In this study, we identified a deubiquitinase YOD1, also known as a member of the ovarian tumor family, as a negative regulator of MAVS activation in both human and murine cells. YOD1 was recruited to mitochondria to interact with MAVS through its UBX and Znf domains after viral infection. Subsequently, YOD1 cleaved the K63-linked ubiquitination and abrogated the formation of prion-like aggregates of MAVS, which led to attenuation of IRF3, P65 activation, and IFN-β production. Knockdown of YOD1 potentiated IRF3 and P65 activation, IFN-β production, and antiviral innate immune response to RNA virus. Our findings thus provided, to our knowledge, novel insights into the regulatory cascade of the cellular antiviral response through YOD1-mediated K63-linked deubiquitination and aggregation of MAVS.
An integrated physical-layer security scheme is proposed, which combines dynamic physical-layer secret key generation (SKG) and static device fingerprint authentication (DFA) for secure transmission ...in frequency division duplex (FDD) systems. The proposed approach employs random forest (RF) algorithms to achieve high-speed SKG and utilizes autoencoders (AE) to realize high-accuracy DFA. Besides, channel interference to DFA is minimized during the integration. Experimental results demonstrated that the SKG achieved a key generation rate (KGR) of 57.71 Kbps, while the open-set DFA recognition accuracy reached 99.60%, with a miss alarm rate (MAR) of 0.93%. The proposed scheme successfully integrates physical-layer identity recognition and a fast key generation with excellent performance.
Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, since an RIS is capable of reflecting the desired signals through ...appropriate phase shifts. However, the intended signals that impinge upon an RIS are often mixed with interfering signals, which are usually dynamic and unknown. In particular, the received signal-to-interference-plus-noise ratio (SINR) may be degraded by the signals reflected from the RISs that originate from non-intended users. To tackle this issue, we introduce the concept of intelligent spectrum learning (ISL), which uses an appropriately trained convolutional neural network (CNN) at the RIS controller to help the RISs infer the interfering signals directly from the incident signals. By capitalizing on the ISL, a distributed control algorithm is proposed to maximize the received SINR by dynamically configuring the active/inactive binary status of the RIS elements. Simulation results validate the performance improvement offered by deep learning and demonstrate the superiority of the proposed ISL-aided approach.
The aerial-terrestrial communication system constitutes an efficient paradigm for supporting and complementing terrestrial communications. However, the benefits of such a system cannot be fully ...exploited, especially when the line-of-sight (LoS) transmissions are prone to severe deterioration due to complex propagation environments in urban areas. The emerging technology of reconfigurable intelligent surfaces (RISs) has recently become a potential solution to mitigate propagation-induced impairments and improve wireless network coverage. Motivated by these considerations, in this paper, we address the coverage and link performance problems of the aerial-terrestrial communication system by proposing an RIS-assisted transmission strategy. In particular, we design an adaptive RIS-assisted transmission protocol, in which the channel estimation, transmission strategy, and data transmission are independently implemented in a frame. On this basis, we formulate an RIS-assisted transmission strategy optimization problem as a mixed-integer non-linear program (MINLP) to maximize the overall system throughput. We then employ multi-task learning to speed up the solution to the problem. Benefiting from multi-task learning, the computation time is reduced by about four orders of magnitude. Numerical results show that the proposed RIS-assisted transmission protocol significantly improves the system throughput and reduces the transmit power.