Weakly Supervised Point Clouds Transformer for 3D Object Detection

The annotation of 3D datasets is required for semantic-segmentation and object detection in scene understanding. In this paper we present a framework for the weakly supervision of a point clouds transformer that is used for 3D object detection. The aim is to decrease the required amount of supervision needed for training, as a result of the high cost of annotating a 3D datasets. We propose an Unsupervised Voting Proposal Module, which learns randomly preset anchor points and uses voting network to select prepared anchor points of high quality. Then it distills information into student and teacher network. In terms of student network, we apply ResNet network to efficiently extract local characteristics. However, it also can lose much global information. To provide the input which incorporates the global and local information as the input of student networks, we adopt the self-attention mechanism of transformer to extract global features, and the ResNet layers to extract region proposals. The teacher network supervises the classification and regression of the student network using the pre-trained model on ImageNet. On the challenging KITTI datasets, the experimental results have achieved the highest level of average precision compared with the most recent weakly supervised 3D object detectors.Comment: International Conference on Intelligent Transportation Systems (ITSC), 202

Studies on Propane Dehydrogenation to Propylene in a Gas-Solid-Sold Fluidized Bed Reactor

Platinum and tin deposited on mixed support of SAPO-34 and alumina oxide at certain proportion constitute a new catalyst of good catalytic performance. The catalyst was tested in a Gas-Solid-Solid fluidized bed reactor. Cold model experiment was carried on to obtain fluidization curves and characteristic velocities. Reaction results in the GSS-FBR showed that propylene yield was improved by 5 % compared with that in micro fixed bed reactor

Cdc42-mediated supracellular cytoskeleton induced cancer cell migration under low shear stress

Tumor microenvironment is composed of biological, chemical and physical factors. Mechanical factors are more and more focused these years. Therefore, mimicking mechanical factors' contribution to cancer cell malignancy will greatly improve the advance in this field. Although the induced malignant behaviors are present under many stimuli such as growth or inflammatory factors, the cell key physical migration mechanisms are still missing. In this study, we identify that low shear stress significantly promotes the formation of needle-shaped membrane protrusions, which is called filopodia and important for the sense and interact of a cell with extracellular matrix in the tumor microenvironment. Under low shear stress, the migration is promoted while it is inhibited in the presence of ROCK inhibitor Y27632, which could abolish the F-actin network. Using cell imaging, we further unravel that key to these protrusions is Cell division cycle 42 (Cdc42) dependent. After Cdc42 activation, the filopodia is more and longer, acting as massagers to pass the information from a cell to the microenvironment for its malignant phenotype. In the Cdc42 inhibition, the filopodia is greatly reduced. Moreover, small GTPases Cdc42 rather than Rac1 and Rho directly controls the filopodia formation. Our work highlights that low shear stress and Cdc42 activation are sufficient to promote filopodia formation, it not only points out the novel structure for cancer progression but also provides the experimental physical basis for the efficient drug anti-cancer strategies

Analysis on consumption of drinking water among the population over the age of 3 in sixteen provinces of China

Objective This study aims to investigate the consumption of packaged drinking water in sixteen provinces in China, and provide scientific basis for related food safety risk assessment. Methods The data was from the resident food consumption survey by China National Center for Food Safety Risk Assessment, including 43 319 residents above 3 years old from 16 provinces during 2013-2014. The database establishment and data analysis were conducted by SAS 9.4. χ2 test and Kruskal-Wallis test were used to analyze the consumption and influencing factors of barreled drinking water and bottled drinking water. Results The consumption percentage of barreled water was 26.2% and the consumption percentage of bottled water was 14.4%. The average consumption of bottled water was 249.7 mL/d and the average consumption of bottled water was 56.4 mL/d, the average consumption of barreled water for consumers was 951.6 mL/d, and the average consumer consumption bottled water was 392.2 mL/d. The consumption percentage, consumption of whole population and consumers for barreled drinking water and bottled drinking water in male were higher than that in female. The consumption percentage, consumption of whole population and consumers for barreled drinking water in population with income under 10 000 yuan were higher than that in other groups. The consumption percentage, consumption of whole population and consumers for bottled drinking water in population with income over 30 000 yuan were higher than that in other groups. The consumption percentage, consumption of whole population and consumers for bottled water in urban areas were higher than those in rural areas, while it was the opposite for barreled drinking water. In addition, the consumption were also affected by age, education level and other factors. Conclusion The consumption and consumption percentage of drinking water were relatively low in China. The consumption of drinking water varies among different populations in China, the consumption of barreled drinking water and bottled drinking water was related to age, education, family income and region factors

The abundance of homoeologue transcripts is disrupted by hybridization and is partially restored by genome doubling in synthetic hexaploid wheat

Dataset S7. List of nonadditively expressed genes in F1 hybrids derived from AS2255 × AS60. (XLSX 72 kb

Analysis on sugar intake from carbonated beverages aged 3 years and above of China

Objective To investigate sugar intake from carbonated beverages of Chinese residents. Methods Multistage stratified random cluster and probability proportionate sampling method was used, and 27 485 residents aged 3 and above were included from one urban and one rural district of 14 provinces (cities) in China. Data was collected by non-continuous 3-day and 24-hour-dietary retrospective method. The added sugar content in 132 carbonated beverages was obtained through the investigation of added sugar content in beverages, the energy provided by added sugar in carbonated beverages was calculated and compared with the total dietary energy from the nutrition and health monitoring diet of Chinese residents, and energy supply ratio of added sugar in carbonated drinks was calculated. Results In 2014, the daily intake of added sugar from carbonated beverages was 0.5 g, and the energy supply ratio was 0.11%. The mean daily intake of added sugar was 13.4 g, the median was 12.3 g, and the energy supply ratio was 2.69%. The median daily intake of carbonated beverages for males (15.3 g) was higher than that for females (10.1 g), it was higher for the urban areas (13.8 g) than that for rural areas (10.7 g), the differences were statistically significant (P0.05). In addition, the consumption of carbonated beverages in urban areas (3.02%) was higher than that in rural areas (2.01%), the difference was statistically significant (P<0.05). The energy supply ratio of carbonated beverage in 13-17 age group was 3.41%. Conclusion Adolescents are the high consumption group of carbonated drinks, so we should strengthen health education to guide reasonable consumption

CXCR4 Accelerates Osteoclastogenesis Induced by Non-Small Cell Lung Carcinoma Cells Through Self-Potentiation and VCAM1 Secretion

Background/Aims: Non-small cell lung carcinoma (NSCLC) metastasis to bone leads to skeletal-related events and a poor quality of life. Unravelling the mechanism of metastasis is crucial for improving survival. Previous work has implicated the role of CXCR4 in bone metastasis; however, the underlying mechanisms are unknown. Methods: The human bone metastasis tissue samples were obtained from lung cancer patients during surgery with consents. The patients were followed up and the overall survival curve was analysed. The expression of CXCR4, VCAM1, and ADAM17 was measured with real-time PCR, western blot and immunochemistry staining in human tissue or NSCLC cell lines. The effects of CXCR4, soluble VCAM1 and ADAM17 on NSCLC proliferation, migration and invasion were measured with CCK-8, monolayer scratch assay and transwell chamber, respectively. The amount of soluble VCAM1 in the conditioned medium was detected with ELISA. Tartrate-resistant acid phosphatasethe (TRAP) staining was performed to stain the multinucleated cells regarded as osteoclasts. Results: In this study, CXCR4 was found to be highly expressed in bone destruction area of metastatic NSCLC samples and related to poor survival in NSCLC patients with bone metastasis. CXCR4 potentiated NSCLC with enhanced proliferation and invasion abilities, while CXCR4 knockdown significantly suppressed the growth and invasion. Furthermore, CXCR4 promoted lung cancer-induced osteoclast differentiation with increased osteoclast formation. We also found that soluble VCAM1 (sVCAM1) secreted in NSCLC contributed to the osteoclastogenesis induced by CXCR4. The overexpression of CXCR4 increased sVCAM1, and the sVCAM1 secreted from CXCR4-overexpressing NSCLC cells recruited and arrested additional osteoclast progenitors to promote osteoclastogenesis. ADAM17 was confirmed to act as a downstream mediator of CXCR4. The chemical inhibition of ADAM17 with TAPI-2 decreased sVCAM1 secretion and the number of TRAP+ osteoclasts. Conclusion: Taken together, these results indicated that CXCR4 potentiated NSCLC and promoted osteoclastogenesis through sVCAM1, which was cleaved by ADAM17. These data support the pivotal role of the cross talk between CXCR4 and ADAM17-VCAM1 in NSCLC-induced bone metastasis

A residual network with geographical and meteorological attention for multi-year ENSO forecasts

IntroductionAs global temperatures continue to rise, extreme weather phenomena such as El Niño and the Southern Oscillation (ENSO) near the equatorial Pacific Ocean are occurring more frequently and leading to tropical cyclones, droughts, and a series of extreme weather disasters. Accurately predicting ENSO in advance can greatly reduce the serious damage to human society, economy, and ecological environment. However, existing methods often neglect the data relation between geographical regions and meteorological factors, hindering the accuracy of ENSO prediction.MethodsTo overcome this problem, we propose a residual network with geographical and meteorological attention to capture important geographical information and explore the spatio-temporal correlation of different meteorological factors. Specifically, we propose two main attention modules: (1) the Geographical Semantic Information Enhancement Module (GSIEM), which selectively attends to important geographical regions and filters out irrelevant noise through a spatial-axis attention map, and (2) the Meteorological Factors Discriminating Enhancement Module (MFDEM), which aims to learn the spatio-temporal dependency of different meteorological factors using a learnable channel-axis weight map. We then integrate our proposed two attention modules into the backbone using residual connection, enhancing the model's prediction ability.ResultsWe conducted extensive experimental comparisons and ablation studies to evaluate the performance of our proposed method. The results show that our method outperforms existing state-of-the-art methods in ENSO prediction, with a significant improvement in prediction accuracy.DiscussionOur proposed method effectively captures geographical and meteorological information, facilitating accurate ENSO prediction. The attention modules we proposed can effectively filter out irrelevant noise and learn the spatio-temporal dependency of different meteorological factors, contributing to the superior performance of our model. Overall, our study provides a novel approach for ENSO prediction and has great potential for practical applications

Analysis of the Lovemarks Concept in Sport Industry

Import 05/08/2014Bakalářská práce se zabývá analýzou konceptu lovemarks ve sportovním průmyslu. Práce je rozdělena na dvě základní části, na část teoretickou a praktickou. V teoretické části práce jsou vymezeny pojmy nutné k pochopení dané problematiky. V praktické části byla pomocí metody dotazníkového šetření provedena analýza konceptu lovemarks. V závěrečné části jsou shrnuty výsledky šetření a doporučení.Bachelor thesis deals with the analysis of the lovemarks concept in sport industry. The thesis is structured into two fundamental sections, theoretical and practical. In the theoretical section are defined terms, which are necessary to understand given issue. In the practical section was used the questionnaire method to analyse lovemarks concept. In the final part are summarized results of research and recommendations.115 - Katedra managementuvýborn