3D Model Retrieval Algorithm Based on Attention and Multi-view Fusion

With the rapid development of computer vision, 3D data is increasing rapidly. How to retrieve similar model from a large number of models has become a hot research topic. However, in order to meet people's demand, the retrieval accuracy need to be further improved. In terms of multi-view 3D model retrieval, how to effectively learn the information between views is the key to improving performance. In this paper, we propose a novel 3D model retrieval algorithm based on attention and multi-view fusion. Specifically, we mainly constructed two modules. First, dynamic attentive graph learning module is used to learn the intrinsic relationship between view blocks; Then we propose the Attention-NetVlad algorithm, which combines the channel attention algorithm and the NetVlad algorithm. It learns the information between feature channels to enhance the feature expression ability firstly, then uses the NetVlad algorithm to fuse multiple view features into a global feature according to the clustering information. Finally the global feature is used as the only feature of the model to retrieve according to Euclidean distance. In comparison with other state-of-the-art methods by utilizing ModelNet10 and ModelNet40 the proposed method has demonstrated significant improvement for retrieval mAP. Our experiments also demonstrate the effectiveness of the modules in the algorithm

Combined-therapeutic strategies synergistically potentiate glioblastoma multiforme treatment via nanotechnology

Glioblastoma multiforme (GBM) is a highly aggressive and devastating brain tumor characterized by poor prognosis and high rates of recurrence. Numerous therapeutic strategies and delivery systems are developed to prolong the survival time. They exhibit enhanced therapeutic effects in animal models, whereas few of them is applied in clinical trials. Taking into account the drug-resistance and high recurrence of GBM, combined-therapeutic strategies are exploited to maximize therapeutic efficacy. The combined therapies demonstrate superior results than those of single therapies against GBM. The co-therapeutic agents, the timing of therapeutic strategies and the delivery systems greatly affect the overall outcomes. Herein, the current advances in combined therapies for glioblastoma via systemic administration are exhibited in this review. And we will discuss the pros and cons of these combined-therapeutic strategies via nanotechnology, and provide the guidance for developing rational delivery systems to optimize treatments against GBM and other malignancies in central nervous system

An "Amyloid-beta Cleaner" for the Treatment of Alzheimer's Disease by Normalizing Microglial Dysfunction

Alzheimer's disease (AD) is a devastating neurodegenerative disorder characterized by progressive cognitive and memory loss. The vicious circle between dysfunctional microglia and amyloid-beta (A beta) is a crucial pathological event and accelerates the progression of AD. Herein, a zwitterionic poly(carboxybetaine) (PCB)-based nanoparticle (MCPZFS NP) with normalizing the dysfunctional microglia and A beta recruitment is established for the treatment of AD. Compared with the neural polyethylene glycol (PEG)-based nanoparticles (MEPZFS NPs), the MCPZFS NPs significantly alleviate the priming of microglia by decreasing the level of proinflammatory mediators and promoting the secretion of BDNF. Most importantly, quite different from PEG, the PCB-based NPs exhibit the behavior to recruit A beta into microglia, which significantly enhances the A beta phagocytosis. Moreover, the A beta degradation is changed from the conventional lysosomal/autophagy to the proteasomal pathway in the presence of MCPZFS NPs. After the treatment with MCPZFS NPs, the A beta burden, neuron damages, memory deficits, and neuroinflammation of APPswe/PS1dE9 mice are significantly attenuated in the brain. Therefore, the PCB-based MCPZFS NPs have great potential to serve as an "A beta cleaner" and provide a new insight into the therapeutic strategy for AD therapy

A Reactive Oxygen Species-Responsive Poly(amino acids) Nanoparticle Loading Doxorubicin for Glioblastoma Multiforme Treatment

Amino acids are significant for human life and therefore considered as the crucial nutrients for human body with high biosafety. Due to their high biocompatibilities and various physicochemical properties, their polymers can be applied to construct drug delivery systems for various diseases' treatments. Among them, glioblastoma multiforme received special attention and numerous efforts regarding to nanotechnology were developed to treat such tumor. However, the biosafety of the delivering materials in those efforts arises as a critical issue in consideration of the weak patients. Therefore, a ROSresponsive nanoparticle (DOX@PLSPL) with poly(amino acids) encapsulating doxorubicin was developed for glioblastoma multiforme treatment. DOX@PLSPL was constructed by poly-lysine and poly-leucine with high biocompatibility. The high doxorubicin encapsulation efficiency and the controlled release manner of DOX@PLSPL ensured its high anti-tumor effect. Totally, this DOX@PLSPL can be used as a promising drug delivery system for glioblastoma multiforme treatments

Detection and Evaluation Technologies for Using Existing Salt Caverns to Build Energy Storage

Underground salt caverns are widely used in large-scale energy storage, such as natural gas, compressed air, oil, and hydrogen. In order to quickly build large-scale natural gas reserves, an unusual building method was established. The method involves using the existing salt caverns left over from solution mining of salt to build energy storages. In 2007, it was first applied to Jintan Natural Gas Storage of China. Based on this successful project, several existing salt caverns were screened to build energy storages in China. Engineering experience indicates that the key to successful reusing is how to select the most suitable of the numerous available caverns and confirm it. This paper summarizes and reviews relevant theories and testing methods, including: (1) the primary selection principle for using existing salt caverns to build energy storage, (2) the testing method and evaluation theory of tightness of the existing salt cavern, and (3) the typical project case of using the existing salt caverns to build energy storage in China. From the practical application results, the selection principle proposed in this paper can quickly screen available existing salt caverns with energy storage potential, and the brine injection method can effectively evaluate their tightness. It provides a technical roadmap for the subsequent implementation of existing salt cavern utilization projects on a large scale

Study of Impact of Sediment on the Stability of Salt Cavern Underground Gas Storage

The utilization of sediment voids for natural gas storage represents the future direction of salt cavern underground gas storage (UGS) in China. In this study, we first analyzed the way in which the sediment interacts with the salt caverns and the equilibrium state of the process. Subsequently, a novel approach employing the Discrete Element Method (DEM) for simulating sediment-filled salt cavern UGS was introduced, successfully modeling the operational process of sediment-filled salt cavern UGS. Moreover, deformation, plastic zone behavior, effective volume shrinkage rate, equivalent strain, and safety factor were employed to assess the impact of sediment on salt cavern stability. The findings indicate a positive influence of sediment on salt cavern stability, particularly in regions directly contacting the sediment. Deformation and effective volume shrinkage of the cavern were effectively mitigated, significantly improving the stress state of rock salt. This effect is more pronounced at lower internal gas pressures. In summary, sediment enhances the stability of salt caverns, providing a long-term and stable environment for natural gas storage within sediment voids

SPP1 is a prognostic related biomarker and correlated with tumor-infiltrating immune cells in ovarian cancer

Abstract Background Secreted phosphoprotein 1 (SPP1) plays a vital role in tumor progression of multiple cancer types However, it still awaits further exploration whether SPP1 is a bystander or an actual player in the modulation of immune infiltration in ovarian cancer. Methods In this study, the expression level of SPP1 was identified by Oncomine, GEPIA and TIMER databases, and the result of SPP1 immumohistochemical staining was acquired by The HPA database. The impact of SPP1 expression level on the clinical outcome of ovarian cancer patients were evaluated via Kaplan–Meier Plotter and PrognoScan dataset. Immune infiltration analyses were conducted using TIMER and TISIDB dataset. In addition, Functional enrichment analyses were performed with Metascape and GeneMANIA database. To verify these findings from the public database, the results were validated in a cohort of ovarian cancer patients. Results SPP1 was found to be overexpressed in ovarian tumor tissues and high SPP1 expression was correlated with shorter survivals. Notably, SPP1 expression was positively correlated with infiltrating levels of CD4 + T cells, CD8 + T cells, macrophages, neutrophils, and dendritic cells. Furthermore, SPP1 expression level showed strong correlation with diverse immune cells in ovarian cancer. Of note, functional enrichment analysis suggested that SPP1 was strongly correlated with immune response. Conclusions These findings imply that SPP1 is correlated with prognosis and immune cell infiltrating, offering a new potential immunotherapeutic target in ovarian cancer. Trial registration Not applicable

Synaptic vesicle-inspired nanoparticles with spatiotemporally controlled release ability as a "nanoguard'' for synergistic treatment of synucleinopathies

Synaptic vesicle-inspired nanoparticles (RT-PPB NPs) as a "nanoguard'' were designed for clearing the toxic a-synuclein aggregates in diseased neurons and preventing the culprits from escaping to affect other normal cells. The NPs could overcome a series of tissue and cellular barriers and controllably release drugs in the diseased neurons, which ensured the optimization of synergistic treatment. This study indicates that the synaptic vesicle-inspired NPs may have the potential to open up a new avenue for the treatment of synucleinopathies, as well as other neurodegenerative diseases

Switchable nanoparticle for programmed gene-chem delivery with enhanced neuronal recovery and CT imaging for neurodegenerative disease treatment

We present a facile approach of a switchable polymer-gold nanoparticle, which programmatically co-delivers genes and chemical drugs (gene-chem). Between the delivery pathway and specific diseased cells the nanoparticle is switchable and allows for enhanced computed tomography (CT) imaging and synergistic neuronal recovery. The delivery system with precise conversion will serve as a powerful gene-chem co-delivery platform to enable accurate brain disease therapy

Targeted exosome coating gene-chem nanocomplex as "nanoscavenger" for clearing alpha-synuclein and immune activation of Parkinson's disease

The most critical problem in the treatment of neurodegenerative diseases is brain neuronal protection, which can be overcome by clearing pathological substances and regulating the immune environment. In the above treatment strategies, the traditional poor drug delivery problem is inevitable. Here, we show an engineering core-shell hybrid system named rabies virus glycoprotein (RVG) peptide-modified exosome (EXO) curcumin/phenylboronic acid-poly(2-(dimethylamino)ethyl acrylate) nanoparticle/small interfering RNA targeting SNCA (REXO-C/ANP/S). It is a nanoscavenger for clearing alpha-synuclein aggregates and reducing their cytotoxicity in Parkinson's disease neurons. The motor behavior of Parkinson's disease mice is substantially improved after REXO-C/ANP/S treatment. In particular, we demonstrate that REXO-C/ANP/S is also a nanoscavenger for clearing immune activation due to its natural immature dendritic cell EXO coating. Our findings show that REXO-C/ANP/S may serve as a platform for neurodegenerative diseases treatment