Prevalence of voxel-based 3D single-stage detectors contrast with underexplored point-based methods. In this paper, we present a lightweight point-based 3D single stage object detector 3DSSD to ...achieve decent balance of accuracy and efficiency. In this paradigm, all upsampling layers and the refinement stage, which are indispensable in all existing point-based methods, are abandoned. We instead propose a fusion sampling strategy in downsampling process to make detection on less representative points feasible. A delicate box prediction network, including a candidate generation layer and an anchor-free regression head with a 3D center-ness assignment strategy, is developed to meet the demand of high accuracy and speed. Our 3DSSD paradigm is an elegant single-stage anchor-free one. We evaluate it on widely used KITTI dataset and more challenging nuScenes dataset. Our method outperforms all state-of-the-art voxel-based single-stage methods by a large margin, and even yields comparable performance with two-stage point-based methods, with amazing inference speed of 25+ FPS, 2x faster than former state-of-the-art point-based methods.
3D printing technology and its extension 4D printing technology have been extensively developed since it was proposed and applied to many industries, including aerospace, biomedical, and food fields. ...However, there are material limitations for 3D/4D food printing, as some natural food gels cannot be directly applied to 3D/4D food printing, and most natural food gels tend to have poor printing characteristics, which are difficult or impossible to print. Additives in food have a long history of application, which can change some properties of natural food gels. Suitable rheological property is the primary condition of 3D/4D food printing, most of the research is about improving the rheological property of ink, while the research on improving the thermal property, electrostatic property, nutritional property and sensory quality of ink (especially electrostatic property and nutritional property) is still insufficient. This article discusses the printing characteristics (rheological properties, thermal properties, electrostatic properties, nutritional properties, and sensory qualities) of natural food gels that are improved by additives in 3D/4D food printing, mainly from three types of additives: lipids, hydrocolloids, and carbohydrates.
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•Commonly used 3D/4D food printing inks and novel additives are outlined.•Printed inks are classified according to their printing characteristics.•Methods for improving printing properties of natural food gels by novel additives were proposed.•Novel additives were used to enhance the nutrition of 3D/4D printed food.•Novel additives in enhancing rheological, electrostatic and thermal properties of natural food gels were introduced.
With the rapid development of artificial intelligence, university English translation teaching faces many challenges and opportunities. This article studies the problems in teaching in this context ...and proposes effective countermeasures. Diagnostic analysis and factor analysis are used in the article to conduct an in-depth study of the three levels of the teaching process: knowledge skills, autonomy, and emotional development. The students achieved a 70% mastery rate in knowledge and skills, while their independence and emotional development performance was 60% and 50%, respectively. This paper proposes an English speech translation system based on artificial intelligence to enhance teaching effectiveness. After a 14-week teaching experiment, the average grade of the students in the experimental class improved by about 6.82 points compared to the traditional teaching class, proving the system’s effectiveness. The study diagnosed the current problems in university English translation teaching, verified the potential of AI technology in improving teaching quality through empirical research, and combined with AI technology can effectively improve the quality and efficiency of university English translation teaching.
Convolutional neural networks (CNNs) have gained remarkable success on many image classification tasks in recent years. However, the performance of CNNs highly relies upon their architectures. For ...the most state-of-the-art CNNs, their architectures are often manually designed with expertise in both CNNs and the investigated problems. Therefore, it is difficult for users, who have no extended expertise in CNNs, to design optimal CNN architectures for their own image classification problems of interest. In this article, we propose an automatic CNN architecture design method by using genetic algorithms, to effectively address the image classification tasks. The most merit of the proposed algorithm remains in its "automatic" characteristic that users do not need domain knowledge of CNNs when using the proposed algorithm, while they can still obtain a promising CNN architecture for the given images. The proposed algorithm is validated on widely used benchmark image classification datasets, compared to the state-of-the-art peer competitors covering eight manually designed CNNs, seven automatic + manually tuning, and five automatic CNN architecture design algorithms. The experimental results indicate the proposed algorithm outperforms the existing automatic CNN architecture design algorithms in terms of classification accuracy, parameter numbers, and consumed computational resources. The proposed algorithm also shows the very comparable classification accuracy to the best one from manually designed and automatic + manually tuning CNNs, while consuming fewer computational resources.
Museum is the Treasure House of human history and culture, which bears the responsibility of inheriting history and spreading culture. The Henan Museum is also attractive because of its rich and ...profound traditional culture. In order to make the world fully understand Henan culture, it is necessary to actively explore scientific and reasonable English translation strategies based on Henan Museum text features and incorporating Trans-cultural diffusion features. In the context of intelligent translation scenarios, the advantages of computer-aided translation are becoming more and more obvious, and the full play of Computer-assisted translation will provide effective support for improving the quality of Henan Museum translation.
Convolutional autoencoders (CAEs) have shown their remarkable performance in stacking to deep convolutional neural networks (CNNs) for classifying image data during the past several years. However, ...they are unable to construct the state-of-the-art CNNs due to their intrinsic architectures. In this regard, we propose a flexible CAE (FCAE) by eliminating the constraints on the numbers of convolutional layers and pooling layers from the traditional CAE. We also design an architecture discovery method by exploiting particle swarm optimization, which is capable of automatically searching for the optimal architectures of the proposed FCAE with much less computational resource and without any manual intervention. We test the proposed approach on four extensively used image classification data sets. Experimental results show that our proposed approach in this paper significantly outperforms the peer competitors including the state-of-the-art algorithms.
Serotonin, also known as 5-hydroxytryptamine (5-HT), is a metabolite of tryptophan and is reported to modulate the development and neurogenesis of the enteric nervous system, gut motility, secretion, ...inflammation, sensation, and epithelial development. Approximately 95% of 5-HT in the body is synthesized and secreted by enterochromaffin (EC) cells, the most common type of neuroendocrine cells in the gastrointestinal (GI) tract, through sensing signals from the intestinal lumen and the circulatory system. Gut microbiota, nutrients, and hormones are the main factors that play a vital role in regulating 5-HT secretion by EC cells. Apart from being an important neurotransmitter and a paracrine signaling molecule in the gut, gut-derived 5-HT was also shown to exert other biological functions (in autism and depression) far beyond the gut. Moreover, studies conducted on the regulation of 5-HT in the immune system demonstrated that 5-HT exerts anti-inflammatory and proinflammatory effects on the gut by binding to different receptors under intestinal inflammatory conditions. Understanding the regulatory mechanisms through which 5-HT participates in cell metabolism and physiology can provide potential therapeutic strategies for treating intestinal diseases. Herein, we review recent evidence to recapitulate the mechanisms of synthesis, secretion, regulation, and biofunction of 5-HT to improve the nutrition and health of humans.
Homeobox (HOX) transcript antisense RNA (HOTAIR) is a long intergenic noncoding RNA (lincRNA) that is significantly overexpressed in breast and hepatocellular cancers. It remains unclear, however, ...whether HOTAIR plays an oncogenic role in human laryngeal squamous cell cancer (LSCC). We therefore investigated the expression and functional role of HOTAIR in LSCC. HOTAIR levels were significantly higher in LSCC than in corresponding adjacent non-neoplastic tissues, and patients with poor histological grade or advanced clinical stage had higher HOTAIR expression. Log-rank test showed a significant association between high levels of HOTAIR and poor prognosis in LSCC patients. Multivariate Cox analysis suggested that HOTAIR is an independent prognostic factor of LSCC. siRNA-mediated knockdown of HOTAIR led to reduced invasion and increased apoptosis of Hep-2 cells in vitro and significantly reduced growth of LSCC xenograft tumors in mice. Moreover, PTEN methylation was significantly reduced in Hep-2 cells depleted of HOTAIR. Taken together, these results suggest that the oncogenic role of HOTAIR in LSCC is related to promotion of PTEN methylation. HOTAIR could serve as a marker for LSCC prognosis and a potential target for therapeutic intervention.
The objective of this study was to investigate the antioxidant, antitumor and immunological activities of the polypeptide from Pleurotus eryngii mycelium (PEMP). The ability of the polypeptide to ...stimulate Ana-1 macrophages to englobe neutral red, secrete NO, H2O2, TNF-α, and IL-6, increase TLR2 and TLR4 expression levels and Ana-1 cell survival rate were investigated to study its immunocompetence. Its antitumor activities were studied by examining the survival of cervical, breast, and stomach cancer cells. The antioxidant activities of the polypeptide were studied by examining its reducing power and its ability to scavenge DPPH, O2−, and OH radicals. The results showed that the PEMP was a good antioxidant with antitumor and immunostimulatory activities that was concentration dependent. At concentrations from 0.05 to 2mg/mL, it inhibited the proliferation of cancer cells, but promoted the proliferation of macrophages, TNF-α and IL-6 secretion, TLR2 and TLR4 expression and increased macrophage phagocytic ability through NO and H2O2 release. From 0.2 to 1mg/mL, the polypeptide had strong reducing power to clear free radical of DPPH, O2−, OH−, with a concentration-response relationship. Based on these results, PEMP has potential applications in functional foods as a natural anti-aging and anti-virus agent with antioxidant and immunostimulatory activities.
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