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1,954 result(s) for "Wang, Junyi"
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A Multi-User Collaborative AR System for Industrial Applications
Augmented reality (AR) applications are increasingly being used in various fields (e.g., design, maintenance, assembly, repair, training, etc.), as AR techniques help improve efficiency and reduce costs. Moreover, collaborative AR systems extend applicability, allowing for collaborative environments for different roles. In this paper, we propose a multi-user collaborative AR system (aptly called the “multi-user collaborative system”, or MUCSys); it is composed of three ends—MUCStudio, MUCView, and MUCServer. MUCStudio aims to construct industrial content with CAD model transformation, simplification, database update, marker design, scene editing, and exportation, while MUCView contains sensor data analysis, real-time localization, scene loading, annotation editing, and virtual–real rendering. MUCServer—as the bridge between MUCStudio and MUCView—presents collaborative and database services. To achieve this, we implemented the algorithms of local map establishment, global map registration, optimization, and network synchronization. The system provides AR services for diverse industrial processes via three collaborative ways—remote support, collaborative annotation, and editing. According to the system, applications for cutting machines were presented to improve efficiency and reduce costs, covering cutting head designs, production line sales, and cutting machine inspections. Finally, a user study was performed to prove the usage experience of the system.
دراسات حول الفضاء العالمي و\الحزام والطريق\ : (مجلد السياحة)
إن استراتيجية \"الحزام والطريق\" هي عملية طويلة الأمد، ولا يمكن وصف دورها في تعزيز تنمية السياحة ببساطة. يحلل \"الفضاء العالمي و\"حزام واحد وطريق واحد\" حجم السياحة\" الوضع الحالي لتنمية السياحة العالمية في سياق استراتيجية \"حزام واحد وطريق واحد\"، ويقدم بالتفصيل تطور السياحة العالمية والخلفية السياحية. \"حزام وطريق\"، بما في ذلك نظرة عامة على صناعة السياحة العالمية، والاتجاهات الجديدة في تنمية السياحة العالمية ونمط السياحة العالمية، وما إلى ذلك، واستنادا إلى تحليل فرص وتحديات تنمية السياحة العالمية والصينية، والتأثير الترويجي لـ \"حزام واحد وطريق واحد\"، وتم تفسير استراتيجية \"الحزام والطريق\" لتنمية السياحة.
Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning
Dynamic scheduling problems have been receiving increasing attention in recent years due to their practical implications. To realize real-time and the intelligent decision-making of dynamic scheduling, we studied dynamic permutation flowshop scheduling problem (PFSP) with new job arrival using deep reinforcement learning (DRL). A system architecture for solving dynamic PFSP using DRL is proposed, and the mathematical model to minimize total tardiness cost is established. Additionally, the intelligent scheduling system based on DRL is modeled, with state features, actions, and reward designed. Moreover, the advantage actor-critic (A2C) algorithm is adapted to train the scheduling agent. The learning curve indicates that the scheduling agent learned to generate better solutions efficiently during training. Extensive experiments are carried out to compare the A2C-based scheduling agent with every single action, other DRL algorithms, and meta-heuristics. The results show the well performance of the A2C-based scheduling agent considering solution quality, CPU times, and generalization. Notably, the trained agent generates a scheduling action only in 2.16 ms on average, which is almost instantaneous and can be used for real-time scheduling. Our work can help to build a self-learning, real-time optimizing, and intelligent decision-making scheduling system.
Exosomes serve as nanoparticles to suppress tumor growth and angiogenesis in gastric cancer by delivering hepatocyte growth factor siRNA
Exosomes derived from cells have been found to mediate signal transduction between cells and to act as efficient carriers to deliver drugs and small RNA. Hepatocyte growth factor (HGF) is known to promote the growth of both cancer cells and vascular cells, and the HGF‐cMET pathway is a potential clinical target. Here, we characterized the inhibitory effect of HGF siRNA on tumor growth and angiogenesis in gastric cancer. In addition, we showed that HGF siRNA packed in exosomes can be transported into cancer cells, where it dramatically downregulates HGF expression. A cell co‐culture model was used to show that exosomes loaded with HGF siRNA suppress proliferation and migration of both cancer cells and vascular cells. Moreover, exosomes were able to transfer HGF siRNA in vivo, decreasing the growth rates of tumors and blood vessels. The results of our study demonstrate that exosomes have potential for use in targeted cancer therapy by delivering siRNA. HGF siRNA packed in exosomes can be transported into cancer cells, and down‐regulates HGF expression, and suppress proliferation and migration of both cancer cells and vascular cells.
A Review of Spiking Neural Networks
Spiking neuron network (SNN) attaches much attention to researchers in neuromorphic engineering and brain-like computing because of its advantages in Spatio-temporal dynamics, diverse coding mechanisms, and event-driven properties. This paper is a review of SNN in order to help researchers from other areas to know and became familiar with the field of SNN or even became interested in SNN. Neuron models, coding methods, training algorithms, and neuromorphic computing platforms will be introduced in this paper. This paper analyzes the disadvantages and advantages of several kinds of neural models, coding methods, learning algorithms, and neuromorphic computing platforms, and according to these to propose some expected development, such as improving the balance between bio-mimicry and cost of computing for neuron models, compounding coding methods, unsupervised learning algorithms in SNN, and digital-analog computing platform.
Surface Plasmon Resonance Sensor Based on Fe2O3/Au for Alcohol Concentration Detection
Hematite (α-Fe2O3) is widely used in sensor sensitization due to its excellent optical properties. In this study, we present a sensitivity-enhanced surface plasmon resonance alcohol sensor based on Fe2O3/Au. We describe the fabrication process of the sensor and characterize its structure. We conduct performance testing on sensors coated multiple times and use solutions with the same gradient of refractive indices as the sensing medium. Within the refractive index range of 1.3335–1.3635, the sensor that was coated twice achieved the highest sensitivity, reaching 2933.2 nm/RIU. This represents a 30.26% enhancement in sensitivity compared to a sensor with a pure gold monolayer film structure. Additionally, we demonstrated the application of this sensor in alcohol concentration detection by testing the alcohol content of common beverages, showing excellent agreement with theoretical values and highlighting the sensor’s potential in food testing.
Esophageal cancer: trends in incidence and mortality in China from 2005 to 2015
Background The long‐term trend analysis of esophageal cancer is rarely reported in China. Our purpose is to analyze the incidence and mortality trends of esophageal cancer in China from 2005 to 2015. Method Based on the data in the annual report of the China Cancer Registry, a comprehensive analysis of esophageal cancer cases and deaths from 2005 to 2015 was carried out. The incidence and mortality of esophageal cancer are stratified by gender and region (urban or rural). Long‐term trend analysis was conducted using Joinpoint regression model. Result In China, the age‐standardized incidence rates by the world population declined from 13.84/105 in 2005 to 11.64/105 in 2015. Annual percent changes were 3.4% (95% CI: 0.6%, 6.3%) in the period 2005‐2011, −7.4% (95% CI: −10.1%, −4.7%) in the period 2011‐2015, respectively. The age‐standardized mortality rates declined from 10.86/105 in 2005 to 8.57/105 in 2015. And the average annual percent change was −4.1% (95% CI: −6.7%, −1.5%). The incidence and mortality of esophageal cancer in men are higher than those in women, and the incidence and mortality of esophageal cancer in rural areas are much higher than those in urban areas. Conclusion In China, the incidence of esophageal cancer first increased and then decreased during 2005‐2015, while the mortality rate has been declining. In China, the incidence of esophageal cancer increased first and then decreased during 2005‐2015, and the mortality rate has been declining throughout the period.
Chemotoxicity-induced exosomal lncFERO regulates ferroptosis and stemness in gastric cancer stem cells
Cancer stem cells (CSCs) are an important cause of tumor recurrence and drug resistance. As a new type of cell death that relies on iron ions and is strictly regulated by intracellular and extracellular signals, the role of ferroptosis in tumor stem cells deserves extensive attention. Mass spectrum was applied to screen for ferroptosis-related proteins in gastric cancer (GC). Sphere-formation assay was used to estimate the stemness of gastric cancer stem cells (GCSCs). Exosomal lnc-ENDOG-1:1 (lncFERO) was isolated by ultracentrifugation. Ferroptosis was induced by erastin and was assessed by detecting lipid ROS, mitochondrial membrane potential, and cell death. Furthermore, a series of functional in vitro and in vivo experiments were conducted to evaluate the effects of lncFERO on regulating ferroptosis and chemosensitivity in GCSCs. Here, we showed that stearoyl-CoA-desaturase (SCD1) played a key role in regulating lipid metabolism and ferroptosis in GCSCs. Importantly, exosomal lncFERO (exo-lncFERO) derived from GC cells was demonstrated to promote SCD1 expression by directly interacting with SCD1 mRNA and recruiting heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1), which resulted in the dysregulation of PUFA levels and the suppression of ferroptosis in GCSCs. Moreover, we found that hnRNPA1 was also involved in lncFERO packing into exosomes in GC cells, and both in vitro and in vivo data suggested that chemotoxicity induced lncFERO secretion from GC cells by upregulating hnRNPA1 expression, leading to enhanced stemness and acquired chemo-resistance. All these data suggest that GC cells derived exo-lncFERO controls GCSC tumorigenic properties through suppressing ferroptosis, and targeting exo-lncFERO/hnRNPA1/SCD1 axis combined with chemotherapy could be a promising CSC-based strategy for the treatment of GC.
Parallel robotic automated docking method for realizing space segment assembly
Assembling large, heavy space segments presents a significant challenge in aerospace engine production. Rigid collisions often occur during the docking process, impacting the precision and quality of engine assembly. Traditional manual docking depends on workers’ experience to prevent collisions, but it is labor-intensive and low in productivity, making it impractical. Parallel robots, known for their high precision and heavy load capacity, are widely used in precision assembly under heavy load conditions. Therefore, automated docking methods using parallel robots capable of avoiding rigid collisions have emerged as an excellent solution to these issues. This paper presents a framework for easy implementation in practical production. The Stewart parallel robot facilitates automatic docking of heavy aerospace components without rigid collisions. Fractional-order variable damping admittance control is proposed, allowing the robot to dynamically adjust the assembly trajectory based on real-time interaction forces, thus preventing rigid collisions during docking. Additionally, adaptive robust sliding mode control is developed, enhancing the robot’s tracking accuracy for desired poses and making it suitable for high-precision assembly.