Accurate segmentation of brain tumors is crucial for their early diagnosis. Multi-modal MRI images can provide complementary information, which is essential for improving segmentation accuracy. This paper presents a b...
详细信息
Nanocatalytic therapy shows great potential for therapeutic ***,therapeutic efficiency is often limited by unsatisfactory enzyme activity and lack of the coordination of immune ***,engineering nanozymes activity enhan...
详细信息
Nanocatalytic therapy shows great potential for therapeutic ***,therapeutic efficiency is often limited by unsatisfactory enzyme activity and lack of the coordination of immune ***,engineering nanozymes activity enhancement while activating immune system will be an effective strategy to achieve efficient tumor ***,we synthesize a DSPE-PEG-FA modified manganese dioxide-based dual-atom nanozyme(MDF),on which iridium and platinum atoms are *** obtained MDF can simultaneously mimic four enzyme activities of catalase,oxidase,peroxidase,and glutathione oxidase,set off a reactive oxygen species(ROS)storm,cause tumor cell *** enzyme activity of MDF can be enhanced by its own photothermal ***,MDF can consume intracellular glutathione and release Mn^(2+),which can prevent generated ROS from consumption and further activate cyclic guanosine monophosphate-adenosine monophosphate synthase-stimulator of interferon genes(cGAS-STING)pathway and promote the secretion of type I interferon,which will help promote dendritic cells maturation,present antigens to T lymphocytes to help kill tumor ***,MDF shows excellent tumor suppressive *** work provides a new paradigm for the field of nanozymes and offers a new reference for involvement of cGAS-STING pathway activation in tumor catalytic therapy.
The Metaverse can leverage intelligent traffic management technology to simulate the Cellular Vehicle-to-Everything (C-V2X) environment, integrating closely with the Internet of Vehicles due to its advanced connectivi...
详细信息
In recent years, IoT has transformed personal environments by integrating diverse smart devices. This paper presents an advanced IoT architecture that optimizes network infrastructure, focusing on the adoption of MQTT...
详细信息
Alert fatigue has caused serious consequences for enterprise security. When analysts are inundated with a vast number of alerts, high-risk alerts may be overlooked or responded to with delay, thereby exposing the orga...
详细信息
In recent decades,fog computing has played a vital role in executing parallel computational tasks,specifically,scientific workflow *** cloud data centers,fog computing takes more time to run workflow ***,it is essenti...
详细信息
In recent decades,fog computing has played a vital role in executing parallel computational tasks,specifically,scientific workflow *** cloud data centers,fog computing takes more time to run workflow ***,it is essential to develop effective models for Virtual Machine(VM)allocation and task scheduling in fog computing *** task scheduling,VM migration,and allocation,altogether optimize the use of computational resources across different fog *** process ensures that the tasks are executed with minimal energy consumption,which reduces the chances of resource *** this manuscript,the proposed framework comprises two phases:(i)effective task scheduling using a fractional selectivity approach and(ii)VM allocation by proposing an algorithm by the name of Fitness Sharing Chaotic Particle Swarm Optimization(FSCPSO).The proposed FSCPSO algorithm integrates the concepts of chaos theory and fitness sharing that effectively balance both global exploration and local *** balance enables the use of a wide range of solutions that leads to minimal total cost and makespan,in comparison to other traditional optimization *** FSCPSO algorithm’s performance is analyzed using six evaluation measures namely,Load Balancing Level(LBL),Average Resource Utilization(ARU),total cost,makespan,energy consumption,and response *** relation to the conventional optimization algorithms,the FSCPSO algorithm achieves a higher LBL of 39.12%,ARU of 58.15%,a minimal total cost of 1175,and a makespan of 85.87 ms,particularly when evaluated for 50 tasks.
The critical node problem(CNP)aims to deal with critical node identification in a graph,which has extensive applications in many *** CNP is a challenging task due to its computational complexity,and it attracts much a...
详细信息
The critical node problem(CNP)aims to deal with critical node identification in a graph,which has extensive applications in many *** CNP is a challenging task due to its computational complexity,and it attracts much attention from both academia and *** this paper,we propose a population-based heuristic search algorithm called CPHS(Cut Point Based Heuristic Search)to solve CNP,which integrates two main *** first one is a cut point based greedy strategy in the local search,and the second one involves the functions used to update the solution pool of the ***,a mutation strategy is applied to solutions with probability based on the overall average similarity to maintain the diversity of the solution *** are performed on a synthetic benchmark,a real-world benchmark,and a large-scale network benchmark to evaluate our *** with state-of-the-art algorithms,our algorithm has better performance in terms of both solution quality and run time on all the three benchmarks.
Informational resources have significantly expanded as a result of the growth of the internet. Consequently, making personalized suggestions about different types of information, goods, and services is the best strate...
详细信息
This paper presents ScenePalette,a modeling tool that allows users to“draw”3D scenes interactively by placing objects on a canvas based on their contextual *** is inspired by an important intuition which was often i...
详细信息
This paper presents ScenePalette,a modeling tool that allows users to“draw”3D scenes interactively by placing objects on a canvas based on their contextual *** is inspired by an important intuition which was often ignored in previous work:a real-world 3D scene consists of the contextually reasonable organization of objects,*** typically place one double bed with several subordinate objects into a bedroom instead of different shapes of ***,abstracts 3D repositories as multiplex networks and accordingly encodes implicit relations between or among ***,basic statistics such as co-occurrence,in combination with advanced relations,are used to tackle object relationships of different *** experiments demonstrate that the latent space of ScenePalette has rich contexts that are essential for contextual representation and exploration.
Predicting RNA binding protein(RBP) binding sites on circular RNAs(circ RNAs) is a fundamental step to understand their interaction mechanism. Numerous computational methods are developed to solve this problem, but th...
详细信息
Predicting RNA binding protein(RBP) binding sites on circular RNAs(circ RNAs) is a fundamental step to understand their interaction mechanism. Numerous computational methods are developed to solve this problem, but they cannot fully learn the features. Therefore, we propose circ-CNNED, a convolutional neural network(CNN)-based encoding and decoding framework. We first adopt two encoding methods to obtain two original matrices. We preprocess them using CNN before fusion. To capture the feature dependencies, we utilize temporal convolutional network(TCN) and CNN to construct encoding and decoding blocks, respectively. Then we introduce global expectation pooling to learn latent information and enhance the robustness of circ-CNNED. We perform circ-CNNED across 37 datasets to evaluate its effect. The comparison and ablation experiments demonstrate that our method is superior. In addition, motif enrichment analysis on four datasets helps us to explore the reason for performance improvement of circ-CNNED.
暂无评论