Cross self-attention network for 3D point cloud

Wang, Gaihua; Zhai, Qianyu; Liu, Hong

doi:10.1016/j.knosys.2022.108769

Cited by 49 publications

(22 citation statements)

References 22 publications

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“…Some studies have shown that targeted nanomicrobubble contrast agents have good specificity, and some scholars have applied the contrast agent specifically targeting VEGFR2/KDR in clinics, and this targeted contrast agent can significantly improve the signal intensity of lesions in patients with breast and ovarian cancer, which improves the efficiency of clinical diagnosis and provides a new starting point for the clinical translation of targeted contrast agents [13][14][15]. us, molecular imaging based on targeted nanomicrobubbles brings a new hope for early noninvasive diagnosis of tumors and has become a hotspot for research in the biomedical neighborhood in recent years [16].…”

Section: Discussionmentioning

confidence: 99%

The Significance of PAX8‐PPARγ Expression in Thyroid Cancer and the Application of a PAX8‐PPARγ‐Targeted Ultrasound Contrast Agent in the Early Diagnosis of Thyroid Cancer

Fan

Zhu

Kong

et al. 2022

Contrast Media & Molecular Imaging

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Objective. To investigate the significance of PAX8-PPARγ expression in thyroid cancer and the application of a PAX8-PPARγ-targeted ultrasound contrast agent in the early diagnosis of thyroid cancer. Methods. In this study, the expression of PAX8-PPARγ in thyroid cancer tissues, paracancer groups, and normal thyroid tissues was detected by western and immunohistochemical techniques; the effects of PAX8-PPARγ expression inhibition on thyroid cancer cell growth, clonogenic ability, and antiapoptosis were examined. The terminal carboxylactic acid/hydroxyacetic acid copolymer (PLGA-COOH) nanoparticles were prepared by the double emulsification solvent volatilization method. The in vitro cytotoxicity of the targeted contrast agent was detected by MTS and other methods; LD50 was used to evaluate its short-term in vivo toxicity after intraperitoneal injection in mice. Results. PAX8-PPARγ expression was significantly increased in thyroid cancer tissues, and the expression level of PAX8-PPARγ was closely correlated with TNM staging and lymph node metastasis ( P < 0.05). In addition, PAX8-PPARγ was also expressed at high levels in thyroid cancer cell lines relative to normal thyroid cells. MTS experiments showed that the PAX8-PPARγ-targeted ultrasound nanocontrast agent had no significant toxic side effects on thyroid cells; countess observed that the contrast agent had no effect on cell survival and mortality; the LD50 assay showed that the targeted contrast agent had a wide safety range. Western blot showed the expression of caspase-3, BAX, and Bcl-2 in thyroid cancer cells, indicating that the nanocontrast agent has a good biosafety. In vitro targeting experiments showed that there were more nanospheres aggregated around the cells in the targeted contrast group. In vivo targeting imaging of nude mice revealed that the ultrasound signal was significantly enhanced in the targeted group compared with the nontargeted group after 20 min of LIFU irradiation. Conclusion. PAX8-PPARγ overexpression in thyroid cancer cell lines and thyroid cancer tissues promoted the proliferation and antiapoptotic ability of thyroid cancer cells and promoted the tumorigenic ability in nude mice in vivo. We successfully prepared a PAX8-PPARγ-targeted ultrasound nanocontrast agent, which has regular morphology, uniform size, and high stability, and its liquid-gas phase change can be promoted at lower temperature. Therefore, this contrast agent can achieve US-targeted imaging and temperature phase transition function, and may have enhanced ultrasound imaging potential.

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Section: Discussionmentioning

confidence: 99%

The Significance of PAX8‐PPARγ Expression in Thyroid Cancer and the Application of a PAX8‐PPARγ‐Targeted Ultrasound Contrast Agent in the Early Diagnosis of Thyroid Cancer

Fan

Zhu

Kong

et al. 2022

Contrast Media & Molecular Imaging

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“…The proposed approaches in the article can combine some mathematical tools and identification methods [49][50][51][52][53][54][55][56] to study the parameter estimation issues of other linear stochastic systems and nonlinear stochastic systems with different structures and disturbance noises [57][58][59][60][61][62][63] and can be applied to literatures [64][65][66][67][68][69][70][71] such as paper-making engineering systems and so on.…”

Section: The Auxiliary Model-based Forgetting Factor Recursive Least ...mentioning

confidence: 99%

Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle

Liu

2022

Intl J Robust & Nonlinear

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This article considers the parameter estimation problems of two‐input single‐output Hammerstein output‐error moving average systems. The system is decomposed into two subsystems based on the hierarchical principle. The first model is used to identify the linear parameters and the parameters of the unknown measurable information vector. The second model is for identifying non‐linear parameters. By using the auxiliary model, we introduce a forgetting factor to improve the parameter estimation accuracy. The auxiliary model‐based forgetting factor recursive least squares algorithm and the auxiliary model‐based forgetting factor multi‐innovation recursive least squares algorithm are presented. The simulation results indicate that the proposed algorithms are effective.

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“…erefore, it is necessary to perform preprocessing analysis on its system data, so as to screen out some useless information in advance, so that in the process of processing, various types of data information. At present, the operational data of power equipment presents various characteristics, such as power equipment detection data, current data, voltage data, and temperature data [14]. erefore, in order to be able to process various types of data and information, it is necessary to ensure the processing of the design of targeted data cleaning.…”

Section: Data Cleaningmentioning

confidence: 99%

Remote Data Acquisition and Management Technology of Power Equipment Based on Internet of Things

Lu²,

Luo

et al. 2022

Mobile Information Systems

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This paper proposes an architecture scheme for realizing the power equipment data acquisition IoT monitoring network using the latest Internet of Things technology. At the same time, a power equipment data acquisition and monitoring system based on Narrowband Internet of Things (NB-IoT) and exclusive-OR (XOR) encryption algorithms is designed. The system is mainly researched and designed from the aspects of monitoring terminal software and hardware design, data encryption processing, and remote data management cloud platform. This paper installs a big data analysis processor and a network routing processor based on the Internet of Things technology and modifies the system memory, display, and connection circuit to optimize the system hardware equipment. Finally, the system conducts experimental tests to monitor the state of power equipment, such as transmission and distribution towers, power manhole covers, cable tunnels, and distribution line knife gate temperature. The experimental results show that the system can realize low power consumption, comprehensive coverage, low-cost unified access, and centralized management of power equipment status information in different power scenarios. The application of this system dramatically improves the reliability and efficiency of the operation and maintenance of terminal equipment of the power system. The promotion of this system has a great application value.

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Cross self-attention network for 3D point cloud

Cited by 49 publications

References 22 publications

The Significance of PAX8‐PPARγ Expression in Thyroid Cancer and the Application of a PAX8‐PPARγ‐Targeted Ultrasound Contrast Agent in the Early Diagnosis of Thyroid Cancer

The Significance of PAX8‐PPARγ Expression in Thyroid Cancer and the Application of a PAX8‐PPARγ‐Targeted Ultrasound Contrast Agent in the Early Diagnosis of Thyroid Cancer

Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle

Remote Data Acquisition and Management Technology of Power Equipment Based on Internet of Things

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