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Structure optimization of stretchable AMOLED for high stretchability and high reliability was studied. High stretchability (>10%) was achieved. To improve the key reliability performance of stretchable OLED, pixel‐size hybrid encapsulation was developed, with which the panel can pass 60o C/90% 360h reliability test. A dynamic stretchable AMOLED module was fabricated. [ABSTRACT FROM AUTHOR]

The remote online system of heavy-duty vehicles is composed of vehicle terminal and monitoring platform based on the specified communication protocol, data format and data transmission frequency, which is an important embodiment of heavy-duty vehicle pollution control in the application for Internet of Vehicles. The influence of different collection frequencies and compute cycles on vehicle energy consumption and emission calculation is studied in this paper. The calculation errors of mileage, vehicle fuel consumption per 100 kilometers and emission factors of 14 collection frequencies and 7 compute cycles were calculated by continuously monitoring the emission and energy consumption data for 10 heavy-duty vehicles uploaded in 1 month. The result shows that decreasing the data collection frequency will lead to the increase of error and the decrease of correlation, while increasing the computing cycle can reduce the error. When the calculation error is 1%, 5% and 10%, the collection frequency shall be at least 0.5Hz, 0.2Hz and 0.1Hz, and the computing cycle shall be greater than 1800 seconds, 3600 seconds and 7200 seconds. The study content of this paper provides the theoretical foundation for the application and storage of remote monitoring data of heavy-duty vehicles, and provides a solution to the waste of data storage space caused by the problem of remote monitoring big data set.

A novel non-intrusive and computer vision-based framework for driver fatigue detection from video is proposed in this paper. To improve the judging accuracy of the driver's facial expressions, the personalized threshold is proposed based on the driver's eye aspect ratio and mouth aspect ratio instead of the traditional average threshold, as individual drivers have different eye and mouth sizes. In order to alleviate the impact of the lack of relevant public data on model training, transfer learning is employed to train the eye and mouth state classifier. Furthermore, to address the low universality and accuracy of driver fatigue detection caused by using only one type of facial features, multiple features, including appearance-based features and deep learning-based features, are utilized. The experiment results indicate that our method achieves a 92.21% F1 score and 29 fps, outperforming traditional methods on the public NTHU-DDD dataset. [ABSTRACT FROM AUTHOR]

The mechanistic target of rapamycin complex 1 (mTORC1) is a master regulator of cell growth that responds to a diverse set of environmental cues, including amino acids.sup.1,2. Deregulation of mTORC1 has been linked with metabolic diseases, cancer and ageing.sup.2-4. In response to amino acids, mTORC1 is recruited by the Rag GTPases to the lysosome, its site of activation.sup.5,6. The GATOR1 complex, consisting of DEPDC5, NPRL3 and NPRL2, displays GAP activity to inactivate Rag GTPases under amino-acid-deficient conditions.sup.7. However, it is unclear how the inhibitory function of GATOR1 is released upon amino acid stimulation. Here we find that in response to amino acids, the CUL3-KLHL22 E3 ubiquitin ligase promotes K48-linked polyubiquitination and degradation of DEPDC5, an essential subunit of GATOR1. KLHL22 plays a conserved role to mediate the activation of mTORC1 and downstream events in mammals and nematodes. Depletion of MEL-26, the Caenorhabditis elegans orthologue of KLHL22, extends worm lifespan. Moreover, KLHL22 levels are elevated in tumours of breast cancer patients, whereas DEPDC5 levels are correspondingly reduced. Depletion of KLHL22 in breast cancer cells suppresses tumour growth in nude mice. Therefore, pharmacological interventions targeting KLHL22 may have therapeutic potential for the treatment of breast cancer and age-related diseases. In response to amino acid stimulation, the ubiquitin E3 ligase CUL3-KLHL22 promotes the activation of mTORC1, which may drive tumour growth in breast cancer., Author(s): Jie Chen [sup.1] [sup.2] , Yuhui Ou [sup.1] , Yanyan Yang [sup.1] , Wen Li [sup.3] , Ye Xu [sup.4] , Yuntao Xie [sup.4] , Ying Liu [sup.1] Author [...]