15 research outputs found
Novel Counter Electrode V<sub>2</sub>O<sub>5</sub>/Al for Solid Dye-Sensitized Solar Cells
Revolutionizing Drug Discovery: The Impact of Distinct Designs and Biosensor Integration in Microfluidics-Based Organ-on-a-Chip Technology
Traditional drug development is a long and expensive process with high rates of failure. This has prompted the pharmaceutical industry to seek more efficient drug development frameworks, driving the emergence of organ-on-a-chip (OOC) based on microfluidic technologies. Unlike traditional animal experiments, OOC systems provide a more accurate simulation of human organ microenvironments and physiological responses, therefore offering a cost-effective and efficient platform for biomedical research, particularly in the development of new medicines. Additionally, OOC systems enable quick and real-time analysis, high-throughput experimentation, and automation. These advantages have shown significant promise in enhancing the drug development process. The success of an OOC system hinges on the integration of specific designs, manufacturing techniques, and biosensors to meet the need for integrated multiparameter datasets. This review focuses on the manufacturing, design, sensing systems, and applications of OOC systems, highlighting their design and sensing capabilities, as well as the technical challenges they currently face
A Method for Joint Edge Server Deployment and Service Placement
Edge Computing (EC) deploys Edge Servers (ES) at the edge of the network close to the user. Services are placed on the ES to meet users' service needs. Several independent studies have been conducted on ES deployment and service placement. However, a highly coupled relationship exists between the two and they should be studied simultaneously. In addition, the economic benefit of the EC system is a consideration because paid services must be provided for the EC system to earn revenue in processing user service requests; however, the EC system incurs delays and energy costs when processing the user service requests. To maximize the benefits of the EC system under the constraint that user service requests and service prices are different, appropriate service placement solutions are required to increase the overall profit. To that end, this study considers the constraints of the location relationship between ES and base stations, coupling relationship between ES deployment and service placement, number of service replicas, and price of the service and proposes a two-step approach that includes an improved k-means algorithm and a multi-agent reinforcement learning algorithm. The goal is to maximize the benefits of EC systems. First, a joint ES deployment and service placement model is constructed. One of the ES deployments explicitly considers the location relationship between base stations, whereas service placement considers the location of ES deployments as well as different service requests and pricing. Subsequently, based on the location relationship of base stations and service request load of base stations, the k-means algorithm is used under constraints to determine the optimal deployment location and collaborative domain of ES under different constraint conditions. Finally, to maximize the benefits of the EC system, a multi-agent reinforcement learning algorithm is used to place services on the ES. The experimental results show that the proposed algorithm increases the benefits by 7% to 23% relative to the comparison algorithms
Design and Simulation of a Stereo Crystal Electromagnetic Calorimeter for the CEPC
In this paper, we present the design and simulation of a Stereo Crystal Electromagnetic Calorimeter (SCECal) for the Circular Electron Positron Collider (CEPC). The SCECal is based on a novel stereo crystal configuration that obtain the 3D position resolution of the calorimeter from 2D readout. We analyze the performance of the SCECal using simulations with BGO crystals and evaluate the energy and 3D positioning resolution for different types of particles. Additionally, we investigate the separation power between photons and pions using a simplified reconstruction method. The results show promising energy and position resolution as well as efficient particle separation capabilities
Cervical Nuclei Segmentation in Whole Slide Histopathology Images Using Convolution Neural Network
Efficacy and Antifungal Mechanism of Rosemary Essential Oil against Colletotrichum gloeosporioides
The antifungal activity and mechanism of rosemary essential oil against Colletotrichum gloeosporioides, the walnut anthracnose pathogen, were investigated using scanning electron microscopy (SEM), index determination and transcriptome technique. The results showed that rosemary essential oil could inhibit the growth of C. gloeosporioides with minimum inhibitory (MIC) and fungicidal (MFC) concentrations of 15.625 μL/mL and 31.25 μL/mL, respectively. Scanning electron microscopy revealed that the mycelium morphology became shriveled, twisted, and severely deformed after being treated with rosemary essential oil. The activity of chitinase, which decomposes fungal cell wall components in C. gloeosporioides, increased. The ergosterol content in the plasma membrane decreased, while the cell contents including nucleic acids, soluble protein and soluble reducing sugar were released resulting in the extracellular electrical conductivity being changed. For metabolic activity, the enzymes succinate dehydrogenase (SDH), malate dehydrogenase (MDH), ATPase and ATP decreased, whereas phosphofructokinase (PFK) increased. Transcriptome sequencing results showed that the antifungal mechanism of rosemary essential oil involves the destruction of the cell wall and membrane, inhibition of genetic material synthesis, and cell division and differentiation. The results are helpful to understand the efficacy and antifungal mechanism of rosemary essential oil against C. gloeosporioides and provide a theoretical basis for the development of rosemary essential oil as a biological control agent
Additional file 3 of Alpinetin promotes hair regeneration via activating hair follicle stem cells
Additional file 3: Figure S2. AP affects Gli1+ HFSC at the onset of anagen
Additional file 1 of Alpinetin promotes hair regeneration via activating hair follicle stem cells
Additional file 1. Additional methods
Additional file 2 of Alpinetin promotes hair regeneration via activating hair follicle stem cells
Additional file 2: Figure S1. AP promotes hair follicle growth
