The internal availability of silent speech serves as a translator for people with aphasia and keeps human–machine/human interactions working under various disturbances. This paper develops a silent speech strategy to achieve all-weather, natural interactions. The strategy requires few usage specialized skills like sign language but accurately transfers high-capacity information in complicated and changeable daily environments. In the strategy, the tattoo-like electronics imperceptibly attached on facial skin record high-quality bio-data of various silent speech, and the machine-learning algorithm deployed on the cloud recognizes accurately the silent speech and reduces the weight of the wireless acquisition module. A series of experiments show that the silent speech recognition system (SSRS) can enduringly comply with large deformation (~45%) of faces by virtue of the electricity-preferred tattoo-like electrodes and recognize up to 110 words covering daily vocabularies with a high average accuracy of 92.64% simply by use of small-sample machine learning. We successfully apply the SSRS to 1-day routine life, including daily greeting, running, dining, manipulating industrial robots in deafening noise, and expressing in darkness, which shows great promotion in real-world applications.

Position error is inevitable in robotic precision assembly task, so force sensor is needed to get information of the environment and guide the motion of robot. In order to describe assembly task clearly, we divided it in three phases: 1.Move to a certain position; 2.Move the shaft to the exactly top of the hole; 3. Put the shaft down in the hole. Phase1 is easy because the position of the hole and shaft is already known. In Phase2, we divide the contact area in sixteen regions, and detect the regions using KD-tree method. After detecting the regions, a coordinate search path is followed in finding the position of the hole. In phase3, we fine adjust the shaft on the X-Y plane according to the value of x F and y F , and put the shaft down in the hole. In order to validate the strategy, experiments are conducted on a Cartesian coordinate robot. Multiple position error is considered and the strategy perform well.

We isolated and cultured satellite cells (SCs) from the longissimus dorsi muscles of 1-day-old male Landrace and Lantang piglets to compare the SC differentiation capacity in the two breeds. Lantang piglets yielded more (P < 0.05) SCs per gram of muscle than Landrace piglets (5.2 ± 0.9×104 vs. 2.4 ± 0.2×104). Transcription of the differentiation markers myogenin and myosin heavy chain I (MyHC I) in the longissimus dorsi muscle was higher in Lantang than Landrace piglets (P < 0.05). Protein levels of myogenin (P < 0.05), MyHC I (P < 0.05), and myogenic regulatory factor 4 (P = 0.07) were higher in Lantang than Landrace piglet SCs after 72 h of differentiation. Creatine kinase activity was higher in Lantang than Landrace piglet SCs after 24, 48, and 72 h of differentiation (P < 0.05), and there was a greater fusion index in Landrace piglet SCs after 72 h of differentiation. In addition, phosphorylation of Akt, mTOR, S6K1, S6, and 4EBP1 was lower in Lantang than Landrace piglet SCs (P < 0.05). Thus differentiation was more extensive in Lantang than Landrace piglet SCs, but expression of the mTOR signaling pathway was lower in Lantang piglet SCs, suggesting mTOR signaling may inhibit myogenic differentiation. These findings reveal that mTOR signaling is a factor in myogenesis and imply that mTOR could potentially serve as an activator of myoblast differentiation and muscle regeneration.

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In this paper, B-type microcrystalline starch made a combination with hexanol in the case of water and alcohol as solvent respectively, V-type amylose-hexanol complexes were prepared. Obtained V-type amylose-hexanol complexes were characterized with scanning electron microscopy, X-ray diffraction, differential scanning calorimete. The results showed that using the preparation of water and alcohol solvents, obtained V-type amylose-hexanol complexes were hydrates and anhydrous crystal respectively. Hydrate crystal’s particles adhesion were serious, the particle diameter of anhydrous crystalline was 0.5~1μm, the crystallinity of both were above 70%. The V-type complexes prepared by aqueous solvent method and alcohol solvent method had almost the same melting temperature, the melting temperature of hydrates and anhydrous forms crystal were 70.7°C and 69.36°C.

As an effective resource allocation approach, double auctions (DAs) have been extensively studied in electronic commerce. Most previous studies have focused on how to design strategy-proof DA mechanisms, while not much research effort has been done concerning privacy and security issues. However, security, especially privacy issues have become such a public concern that the European governments lay down the law to enforce the privacy guarantees recently. In this paper, to address the privacy issue in electronic auctions, we concentrate on how to design a privacy-preserving mechanism for double auctions by employing Goldwasser-Micali homomorphic encryption and sorting networks. We achieve provable privacy such that the auctions do not reveal any bid information except the auction results, resulting in a strict privacy guarantee. Moreover, to achieve practical system performance, we compare different sorting algorithms, and suggest using the faster ones. Experimental results show that different sorting algorithms may have great effect on the performance of our mechanism, and demonstrate the practicality of our protocol for real-world applications in electronic commerce.