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With the development of science and technology and the appearance of various special conditions that cause signers to be unable to sign, proxy signature is gradually becoming a hot spot in cryptography research. This paper combines proxy signature, quantum teleportation, and multi-party verification and proposes a multi-party verifiable quantum proxy signature scheme based on quantum teleportation. This scheme has the following characteristics: The authentication method based on the H a s h function can effectively solve the problem of identity identification among members; in order for the proxy signer to be able to verify the correctness of the proxy authorization, a form of proxy signature authorization that concatenates the identity information of the original signer is used. The security analysis shows that our scheme is unforgeable and undeniable and can resist intercept-resend attacks and cheating attacks. [ABSTRACT FROM AUTHOR]

To investigate the effect of salt stress on the germination of sesame, a mixed salt solution of sodium chloride and calcium chloride was used as the culture medium to analyze the changes and correlations in growth characteristics, total phenolic content, total flavone content, antioxidant capacity, and antioxidant enzyme activity during the germination process of sesame. The results showed that salt stress could promote sesame germination and the accumulation of phenol and flavone, and improve the ABTS+ free radicals scavenging rate and the iron ion reduction ability of sesame. The effect of salt stress on antioxidant enzyme activity varied by enzyme species, and the treatment had a more obvious promoting effect on SOD and CAT activities compared with APX and POD activities. The correlation analysis results demonstrated that the total phenol of sesame cultured under salt stress was positively correlated with its total flavonoids, ABTS+ free radical scavenging rate, iron ion reducing ability, and POD enzyme activity. The correlation between total phenol and iron ion reducing ability, SOD activity and DPPH and hydroxyl radical scavenging ability, POD activity and iron ion reducing ability of sesame was enhanced by salt stress treatment. This study could lay a foundation for further deciphering the physiological mechanism of salt stress on sesame germination, and provide theoretical basis for the development of sesame functional foods. [ABSTRACT FROM AUTHOR]

In X-ray CT imaging, there are some cases where the obtained CT images have serious ring artifacts and noise, and these degraded CT images seriously affect the quality of clinical diagnosis. Thus, developing an effective method that can simultaneously suppress ring artifacts and noise is of great importance. Total variation (TV) is a famous prior regularization for image denoising in the image processing field, however, for degraded CT images, it can suppress the noise but fail to reduce the ring artifacts. To address this issue, the L 0 smoothing filter is incorporated with TV prior for CT ring artifacts and noise removal problem where the problem is transformed into several optimization sub-problems which are iteratively solved. The experiments demonstrate that the ring artifacts and noise presented in the CT image can be effectively suppressed by the proposed method and meanwhile the detailed features such as edge structure can be well preserved. As the superiority of TV and L 0 smoothing filters are fully utilized, the performance of the proposed method is better than the existing methods such as the TV-based method and L 0 -based method. [ABSTRACT FROM AUTHOR]

Highlights: Nonflammable gel polymer electrolyte (SGPE) is developed by in situ polymerizing trifluoroethyl methacrylate (TFMA) monomers with flame-retardant triethyl phosphate (TEP) solvents and LiTFSI–LiDFOB dual lithium salts. Molecular polarity interaction between TEP and PTFMA mitigates interfacial reactions and changes the solvation of Li+. SGPE forms stable inorganic-rich solid electrolyte interface/cathode electrolyte interface layer, exhibiting well compatibility with Li anode and LiCoO2-type high-voltage cathode. The risk of flammability is an unavoidable issue for gel polymer electrolytes (GPEs). Usually, flame-retardant solvents are necessary to be used, but most of them would react with anode/cathode easily and cause serious interfacial instability, which is a big challenge for design and application of nonflammable GPEs. Here, a nonflammable GPE (SGPE) is developed by in situ polymerizing trifluoroethyl methacrylate (TFMA) monomers with flame-retardant triethyl phosphate (TEP) solvents and LiTFSI–LiDFOB dual lithium salts. TEP is strongly anchored to PTFMA matrix via polarity interaction between -P = O and -CH2CF3. It reduces free TEP molecules, which obviously mitigates interfacial reactions, and enhances flame-retardant performance of TEP surprisingly. Anchored TEP molecules are also inhibited in solvation of Li+, leading to anion-dominated solvation sheath, which creates inorganic-rich solid electrolyte interface/cathode electrolyte interface layers. Such coordination structure changes Li+ transport from sluggish vehicular to fast structural transport, raising ionic conductivity to 1.03 mS cm−1 and transfer number to 0.41 at 30 °C. The Li|SGPE|Li cell presents highly reversible Li stripping/plating performance for over 1000 h at 0.1 mA cm−2, and 4.2 V LiCoO2|SGPE|Li battery delivers high average specific capacity > 120 mAh g−1 over 200 cycles. This study paves a new way to make nonflammable GPE that is compatible with Li metal anode. [ABSTRACT FROM AUTHOR]

BACKGROUND: Due to the incomplete projection data collected by limited-angle computed tomography (CT), severe artifacts are present in the reconstructed image. Classical regularization methods such as total variation (TV) minimization, ℓ0 minimization, are unable to suppress artifacts at the edges perfectly. Most existing regularization methods are single-objective optimization approaches, stemming from scalarization methods for multiobjective optimization problems (MOP). OBJECTIVE: To further suppress the artifacts and effectively preserve the edge structures of the reconstructed image. METHOD: This study presents a multiobjective optimization model incorporates both data fidelity term and ℓ0-norm of the image gradient as objective functions. It employs an iterative approach different from traditional scalarization methods, using the maximization of structural similarity (SSIM) values to guide optimization rather than minimizing the objective function.The iterative method involves two steps, firstly, simultaneous algebraic reconstruction technique (SART) optimizes the data fidelity term using SSIM and the Simulated Annealing (SA) algorithm for guidance. The degradation solution is accepted in the form of probability, and guided image filtering (GIF) is introduced to further preserve the image edge when the degradation solution is rejected. Secondly, the result from the first step is integrated into the second objective function as a constraint, we use ℓ0 minimization to optimize ℓ0-norm of the image gradient, and the SSIM, SA algorithm and GIF are introduced to guide optimization process by improving SSIM value like the first step. RESULTS: With visual inspection, the peak signal-to-noise ratio (PSNR), root mean square error (RMSE), and SSIM values indicate that our approach outperforms other traditional methods. CONCLUSIONS: The experiments demonstrate the effectiveness of our method and its superiority over other classical methods in artifact suppression and edge detail restoration. [ABSTRACT FROM AUTHOR]

In view of the shortcomings of the traditional video anomaly detection model, a network structure combining the fully convolutional neural (FCN) network and the long short-term memory (LSTM)network is proposed. The network can perform pixel-level prediction and can accurately locate abnormal areas. The network first uses the convolutional neural network to extract image features of different depths in video frames. Then, different image features are input to memory network to analyze semantic information on time series. Image features and semantic information are fused through residual structure. At the same time, the skip structure is used to integrate the fusion features in multi-mode and upsampling is conducted to obtain a prediction image with the same size as the original video frame. The proposed model is tested on the ped 2 subset of University of California, San Diego (UCSD) anomaly detection dataset and University of Minnesota System(UMN)crowd activity dataset. And both two datasets achieve good results. On the UCSD dataset, the equal error rate is as low as 6.6%, the area under curve reaches 98.2%, and the F1 score reaches 94.96%. On the UMN dataset, the equal error rate is as low as 7.1%, the area under curve reaches 93.7%, and the F1 score reaches 94.46%.

Breaking the limitations of the urban perspective, there is an urgent need to study the influence of the village environment on the willingness of rural households to resettle. This paper explored the determinants and the mechanism of village environment factors on resettlement willingness using full-sample survey data (872,414 households) of 1382 administrative villages in Huai'an, a typical agricultural area in Eastern China. The result revealed that environmental factors generally have a greater impact on the spatial heterogeneity of resettlement willingness, in the order of natural environment, economic environment, social environment, and policy environment; among which geographic location, housing conditions, behavioral tendency of farmers and planning guidance are the key factors. In addition, the absolute location of the urban area in the geographic region has a significantly greater effect than that of the county, and the "following behavior" of the farmers affected their resettlement decision. Therefore, differentiated policies should be formulated according to the spatial distribution of the resettlement willingness, building a dual-core village and town system within the county. [ABSTRACT FROM AUTHOR]

Lithium metal solid‐state battery is the first choice of batteries for electromobiles and consumer electronic products because of the specific capacity of 3860 mAh g−1 and high electrochemical potential (−3.04 V) of Li metal. Flexible polymer solid electrolytes have become the optimal solution to produce high energy density lithium batteries with arbitrary size and shape. In this work, we introduce a halide perovskite, CsSnI3, into the polyethylene oxide/lithium bis‐(trifluoromethanesuphone)imide (PEO–LiTFSI) polymer matrix. The CsSnI3 could form a LixSn alloy with Li, leading to homogenization of the electric field and Li+‐flux at the interface, Sn atom also bonds with the TFSI− anion to provide more dissociated Li+. Besides that, the I atom could interact with Li to form an electronic insulation with a strong blocking effect on electron tunneling. As a proof of concept, the synergy mechanism of the PEO–LiTFSI–CsSnI3 electrolyte improves the stable cycle life of the symmetric battery to more than 500 h, and the Li+ conductivity raised to 6.1 × 10−4 S cm−1 at 60°C. The application of the "zwitter ions analog" halide perovskite in PEO–LiTFSI provides a new choice among various methods to improve the electrochemical performance of polymer solid‐state batteries. [ABSTRACT FROM AUTHOR]