The emerging physical-layer unclonable attribute-aided authentication (PLUA) schemes are capable of outperforming traditional isolated approaches, with the advantage of having reliable fingerprints. ...However, conventional PLUA methods face new challenges in artificial intelligence of things (AIoT) applications owing to their limited flexibility. These challenges arise from the distributed nature of AIoT devices and the involved information, as well as the requirement for short end-to-end latency. To address these challenges, we propose a security authentication scheme that utilizes intelligent prediction mechanisms to detect spoofing attack. Our approach is based on a dynamic authentication method using long short term memory (LSTM), where the edge computing node observes and predicts the time-varying channel information of access devices to detect clone nodes. Additionally, we introduce a Savitzky-Golay filter-assisted high order cumulant feature extraction model (SGF-HOCM) for preprocessing channel information. By utilizing future channel attributes instead of relying solely on previous channel information, our proposed approach enables authentication decisions. We have conducted extensive experiments in actual industrial environments to validate our prediction-based security strategy, which has achieved an accuracy of 97%.
The purpose of this study was to screen differentially expressed genes in PCOS using gene chip data and investigate the biological functions of these DEGs in PCOS. Additionally, the study aimed to ...analyze the potential clinical significance of these genes using clinical data. In this study, we first screened the DEGs related to PCOS by using the gene chip data (GSE5090) from GEO database. Target gene prediction software was used to predict the target genes for these DEGs, and their functional enrichment was analysed. Subsequently, the STRING online tool and Cytoscape software were utilized to identify key genes by constructing protein-protein interaction networks (PPI). In the analysis of the GSE5090 dataset, seventeen differentially expressed genes (DEGs) were identified. Functional enrichment analysis revealed that these DEGs are predominantly associated with biological functions related to polycystic ovary syndrome (PCOS). Moreover, the tissue-specific expression analysis highlighted immune system markers, with a notable difference observed in 18 of these markers, accounting for 20.5% of the total. By constructing PPI networks and key gene regulatory networks, a total of three genes (RPL13, LEP, and ANXA1) were identified as key genes. In addition, the column-line graphical model performed well in predicting the risk of PCOS. Using ROC curves, the model proved to be effective in diagnosis. This study represents the first application of a bioinformatics approach to identify and confirm high expression levels of RPL13, LEP, and ANXA1 in patients with Polycystic Ovary Syndrome (PCOS). These key genes-RPL13, LEP, and ANXA1-may present viable targets for therapeutic interventions in PCOS, underscoring their potential clinical importance.
The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the ...corresponding clear image, the sparsity of the dark channel is less effective for image blind deblurring. Inspired by the fact that a fractional order calculation can inhibit the noise and preserve the texture information of the image, a fractional order dark channel prior is proposed for image deblurring in this paper. It is appropriate for kernel estimation where input images and intermediate images are processed by using a fractional order dark channel prior. Furthermore, the non-convex problem is solved by the half-quadratic splitting method, and some metrics are used for deblurring image quality assessment. Finally, quantitative and qualitative experimental results show that the proposed method achieves state-of-the-art results on synthetic and real blurry images.
ObjectiveTo investigate the effectiveness of a novel lateral tibial plateau annular plate (hereinafter referred to as the novel plate) fixation via fibular neck osteotomy approach for posterolateral ...tibial plateau fractures.MethodsBetween January 2015 and December 2018, 22 patients with posterolateral tibial plateau fractures were treated. There were 10 males and 12 females with an average age of 39.0 years (range, 25-56 years). Seven fractures were caused by falls, 10 by traffic accidents, and 5 by falling from height. The time from injury to hospitalization ranged from 3 to 12 days, with an average of 7.0 days. All patients were closed fractures. According to Schatzker classification, the fractures were classified as type Ⅱ in 8 cases, type Ⅲ in 9 cases, type Ⅴ in 1 case, and type Ⅵ in 4 cases. The fractures were fixed with the novel plates after reduction via fibular neck osteotomy approach. The fracture reduction and healing were observed by X-ray film after operation. The range of motion of the knee join
To investigate the effect of body mass index (BMI) on the short-term effectiveness of high tibial osteotomy (HTO) in the treatment of varus knee arthritis.
The clinical data of 84 patients (84 knees) ...with varus knee arthritis treated with HTO between May 2016 and August 2020 were retrospectively analyzed. According to BMI, the patients were divided into normal group (32 patients in group A, BMI<25 kg/m
), overweight group (27 patients in group B, BMI>30 kg/m
), and obese group (25 patients in group C, BMI>30 kg/m
). The BMI of groups A, B, and C were (23.35±0.89), (26.65±1.03), and (32.05±1.47) kg/m
, respectively. There was no significant difference (
>0.05) in gender, age, surgical side, disease duration, and preoperative Hospital for Special Surgery (HSS) score, visual analogue scale (VAS) score, knee range of motion, and hip-knee-ankle angle (HKA) between groups. The operation time, intraoperative dominant blood loss, and the decrease of hemoglobin on the 3rd day after operation were recorded and compared
Cell cycle dysregulation is a defining feature of breast cancer. Here, 1‐methyl‐nicotinamide (1‐MNA), metabolite of nicotinamide N‐methyltransferase(NNMT) is identified, as a novel driver of ...cell‐cycle progression in breast cancer. NNMT, highly expressed in breast cancer tissues, positively correlates with tumor grade, TNM stage, Ki‐67 index, and tumor size. Ablation of NNMT expression dramatically suppresses cell proliferation and causes cell‐cycle arrest in G0/G1 phase. This phenomenon predominantly stems from the targeted action of 1‐MNA, resulting in a specific down‐regulation of p27 protein expression. Mechanistically, 1‐MNA expedites the degradation of p27 proteins by enhancing cullin‐1 neddylation, crucial for the activation of Cullin‐1‐RING E3 ubiquitin ligase(CRL1)—an E3 ubiquitin ligase targeting p27 proteins. NNMT/1‐MNA specifically up‐regulates the expression of UBC12, an E2 NEDD8‐conjugating enzyme required for cullin‐1 neddylation. 1‐MNA showes high binding affinity to UBC12, extending the half‐life of UBC12 proteins via preventing their localization to lysosome for degradation. Therefore, 1‐MNA is a bioactive metabolite that promotes breast cancer progression by reinforcing neddylation pathway‐mediated p27 degradation. The study unveils the link between NNMT enzymatic activity with cell‐cycle progression, indicating that 1‐MNA may be involved in the remodeling of tumor microenvironment.
In this study, it is demonstrated that the NNMT‐specific metabolite, 1‐methyl‐nicotinamide (1‐MNA), promotes breast cancer cell‐cycle progression by enhancing CRL1‐mediated degradation of p27 proteins. This is facilitated by 1‐MNA's direct interaction with UBC12 proteins, preventing their lysosomal degradation and increasing cullin‐1 neddylation, crucial for CRL1 ligase activation. The findings suggest NNMT/1‐MNA's potential role in reshaping the tumor microenvironment.
By comparing with traditional L-shaped plate, to explore the effectiveness of new Pilon plate in the treatment of type C Pilon fracture.
A clinical data of 57 patients with type C Pilon fractures who ...met the selection criteria between May 2018 and January 2020 was analyzed retrospectively. Thirty-two patients were treated with new Pilon plate (trial group) and 25 patients with traditional L-shaped plate (control group). There was no significant difference in gender, age, cause of injury, fracture side and type, the interval between injury and operation between the two groups (
>0.05). The operation time and complications of the two groups were recorded. X-ray films were taken after operation to assess the quality of fracture reduction according to the Burwell-Charnley classification and fracture healing. Ankle function was evaluated according to Johner-Wruhs scoring standard and American Orthopaedic Foot and Ankle Society (AOFAS) score.
The operations of the two groups were completed successfully, and the ope
Abstract The paper is concerned with the region tracking control problem of multiple nonholonomic mobile robot systems with collision avoidance. The peculiar characteristic of the proposed scheme is ...that a class of potential energy functions is chosen to form the desired target region constraining the robots for aggregation, and some local potential energy functions are selected to maintain collision avoidance among robots. Such that each mobile robot only needs to interact with their neighbors to realize the region tracking control task. Moreover, this paper provides a new analytical framework of region tracking control for a network of wheeled mobile robots, in which the integration of the system decomposition and sliding mode control method enables to convert the nonholonomic constraint problem of the controlled mobile robot system into a holonomic constraint problem. This provides a new approach to solving the mobile robot control problem. Theoretical analysis and numerical simulation results are given to validate the effectiveness of the proposed control scheme.
As the application of multimedia technology intensifies recently, more and more attention has been paid to privacy protection in image data. The interest in DNA-based image encryption techniques is ...increasing due to their high parallelism and large storage capacity. However, there are only few types of operations in existing DNA encryption methods and many of them are susceptible to chosen-plaintext attacks. To solve these problems, this paper proposes a novel image encryption algorithm based on a new DNA sequence operation and hyperchaotic system. Firstly, SHA-256 algorithm is used in conjunction with chaotic systems to generate plaintext-related random sequences. Secondly, the plain image is decomposed into RGB channels and encoded into DNA matrices. Thirdly, a new DNA operation called DNA triploid mutation (DNA-TM) is introduced to achieve cryptographic conversion of DNA bases. Furthermore, after decoding three DNA matrices, row-column permutation and pixel diffusion are employed to fuse the image. The experimental results demonstrate that our encryption approach is secure, with an average information entropy of 7.9972. In addition, the security analysis reveals that our scheme can resist differential attacks, plaintext attacks, noise attacks and occlusion attacks.
•Two-dimensional Logistic-adjusted-Sine map (2D-LASM) and four-dimensional quadratic autonomous hyperchaotic system (4D-QAHS) are utilized to generate chaotic sequences.•A novel DNA sequence operation called DNA triploid mutation (DNA-TM) is introduced to disrupt the nucleotide bases.•Dynamic DNA coding is used in our encryption process to keep the encryption algorithm secure.•SHA-256 is combined with two chaotic systems to generate plaintext-related random sequences.•Experimental result demonstrates that our method can resist various attacks.
