Accurate segmentation of the jaw (i.e., mandible and maxilla) teeth in cone beam computed tomography (CBCT) scans is essential for orthodontic diagnosis treatment planning. Although various (semi)automated methods have been proposed to segment or teeth, there still a lack fully automated that can simultaneously both anatomic structures CBCT multiclass segmentation). In this study, we aimed train validate mixed-scale dense (MS-D) convolutional neural network jaw, background scans. Thirty were...

Brain tissues that are severely damaged by traumatic brain injury (TBI) is hardly regenerated, which leads to a cavity or repair with glial scarring. Stem-cell therapy one viable option treat TBI-caused tissue damage, whose use is, whereas, limited the low survival rate and differentiation efficiency of stem cells. To approach this problem, we developed an injectable hydrogel using imidazole groups-modified gelatin methacrylate (GelMA-imid). In addition, polydopamine (PDA) nanoparticles were...

In order to solve the problem that standard extended Kalman filter (EKF) algorithm has large errors in Unmanned Aerial Vehicle (UAV) multi-sensor fusion localization, this paper proposes a localization method based on adaptive error correction EKF algorithm. Firstly, navigation system is constructed by using gyroscopes, acceleration sensors, magnetic sensors and mileage sensors. Then information detected sensor compared adjusted, reduce influence of estimated value. The nonlinear observation...

Pleurocidin-family cationic antimicrobial peptide NRC-03 exhibits potent and selective cytotoxicity towards cancer cells. However, the anticancer effect of in oral squamous cell carcinoma (OSCC) molecular mechanism induced death is still unclear. This study focused to investigate mitochondrial oxidative stress-mediated altered function involved NRC-03-induced apoptosis OSCC entered cells more easily than that normal bound mitochondria as well nucleus, causing membrane blebbing, swelling, DNA...

In view of the limitations current deep learning models in segmenting dental cone-beam computed tomography (CBCT) images, specifically dealing with complex root morphological features, fuzzy boundaries between tooth roots and alveolar bone, need for costly annotation CBCT images. We collected data from 200 patients annotated 45 them network training, proposed a CNN-Transformer Architecture UNet network, which combines advantages CNN Transformer. The component effectively extracts local while...

The intelligent analysis of Whole Slide Images (WSI) in digital pathology is critical for advancing precision medicine, particularly oncology. However, the availability WSI datasets often limited by privacy regulations, which constrains performance and generalizability deep learning models. To address this challenge, paper proposes an improved data augmentation method based on Deep Convolutional Generative Adversarial Network (DCGAN). Our approach leverages self-supervised pretraining with...

Medical images are obtained from different optical scanners and devices to provide in-body diagnosis detection. Such scanned/acquired tampered with/ distorted by the unnecessary noise present in pixel levels. A Trans-Pixelate Denoising Scheme (TPDS) is implemented denoise these pictures enhance diagnosis's precision. This scheme specific for CT with high between pixelated non-pixelated boundaries. Therefore, boundary detected an input image suggested a trans-pixel substitution using...

Multi-node wind speed forecasting is greatly important for offshore power. It a challenging task due to unknown complex spatial dependencies. Recently, graph neural networks (GNN) have been applied because of their capability in modeling However, existing methods usually require pre-defined structure, which not optimal the downstream and limits application scope GNN. In this paper, we propose adaptive graph-learning convolutional (AGLCN) that can automatically infer hidden associations among...

In order to solve the problem of low road traffic efficiency intelligent transportation, especially when multiple vehicles simultaneously optimize and cooperate with destinations, it is necessary consider traffic, flow load balancing. path, improve capacity, reduce congestion, path. This paper presents a Multi-Vehicle Path Planning method based on Multi-Group Cooperative Particle Swarm Optimization (MVPP-MGC-PSO). When different choose individual pass target The algorithm takes into account...

To improve the performance of particle swarm optimization and differential evolution, diploid evolution was presented according to genetics rules. The algorithm applied into Open Vehicle Routing Problem. In algorithm, dominant character recessive were included in every individual. Particle implemented by character, character. Dominant replaced if its fitness smaller than A real number encoding method some heuristics modified improved solution. parameters analyzed experiment. And comparison...

Mesenchymal stem cell and 3D printing-based bone tissue engineering present a promising technique to repair large-volume defects. Its success is highly dependent on attachment, spreading, osteogenic differentiation, in vivo survival of cells 3D-printed scaffolds. In this study, we applied human salivary histatin-1 (Hst1) enhance the interactions adipose-derived (hASCs) β-tricalcium phosphate (β-TCP) bioceramic Fluorescent images showed that Hst1 significantly enhanced adhesion hASCs both...

Pose estimation is a key feasibility issue for autonomous navigation of civilian UAVs. In response to the poor positioning accuracy caused by unknown noise in standard Unscented Kalman Filter (UKF) algorithm multi-sensor fusion-based pose state estimation, this paper proposes UAV attitude correction method using dynamic compensation and denoising through fusion. Firstly, an adaptive adjustment iterative transformation parameters performed distance parameter strategy optimize distribution...

The massive point cloud data obtained through the computer vision is uneven in density together with a lot of noise and outliers, which will greatly reduce search efficiency affect surface reconstruction. Based on that, this paper presents filtering algorithm based Voxel Grid Statistical Outlier (VGSO): Firstly, 3D voxel grid created for approximating other points inside centroid all points; then, neighborhood discrete analyzed statistically, calculating average distance every to its...

Vehicle routing problem with simultaneous delivery and pickup (VRPSDP) strong industrial background has gained wide attention both in academic engineering fields. A novel quantum-inspired evolutionary algorithm (QEA) computing the rotation gate using elite mean values based on chaos theory is presented for VRPSDP. grey binary scheme develop individual representation. An efficient population initialization nearest insertion (NIA) function proposed to generate an initial certain quality...

According to the defects of standard particle filter algorithm in target tracking mobile sensor networks, such as low accuracy, large network energy consumption and poor anti-noise ability, an optimization model is proposed for based on motion state p rediction. First, centroid was adopted construct node localization model, then features position direction moving were measurements. The method integral point assignment self-adaptionly optimize weights algorithm, introduced modifying factor,...

A new sliding mode control model of discrete chaotic systems based on multimodal function series coupling is proposed to overcome the shortcomings standard PSO algorithm in optimization. Firstly, a coupled (PP algorithm) constructed, which optimized by multipeak solution basis algorithm. Secondly, improved applied search all extreme points feasible domain. Thirdly, Powell method used perform local optimization results, and newly generated are added point database according same peak judgment...

A robotic eye-to-hand coordination technology was put forward based on depth camera and Bursa coordinate transformation model. This employed the Zhang Zhengyou’s calibration method to get intrinsic parameters of RGB camera, triangulation measuring principles infrared laser projector in-depth information target, imaging model finally coordinates target in system then described relationship between world robot with solved indirect adjustment function It demonstrated experiment that this simple...