In this study, a versatile cellulose conductive hydrogels with outstanding mechanical properties, rapid self-healing performance, and excellent thermal sensitivity were successfully fabricated. The tensile strength and toughness of the gels gradually increased to 249 kPa and 1.57 MJ/m3, respectively, and the healing efficiency of the hydrogels quickly reached 96.3% within 60 min. Importantly, the hydrogels exhibited a broad strain window (0-2066%) with a gauge factor ranging from 0.22 to 6.7, which could monitor of both obvious and subtle motion of the human body with high sensitivity and good repeatability. Moreover, the sensors also possessed good thermal sensitivity in the 0% and 400% state, and the response of the gel sensors increased from 8.3 to 87.9 when the temperature was increased from 35 to 85 °C. This study provides inspiration for the development of biocompatible and multifunctional cellulose-based wearable sensors with excellent mechanical, strain and temperature sensing and self-healing properties.Chitosan is suggested as no or low toxicity and biocompatible biomaterial. Digestion of chitosan to reduce molecular weight and formulate nanoparticle was generally used to improve efficiency for DNA or protein delivery. However, the toxicity of low-molecular-weight chitosan (LMWCS) towards freshwater fishes has not been well evaluated. Here, we reported the toxic mechanism of LMWCS using zebrafish (Danio rerio) liver (ZFL) cell line, zebrafish larvae, and adult fish. LMWCS rapidly induced cytotoxicity of ZFL cells and death of zebrafish. Cell membrane damaged by LMWCS reduced cell viability. Damaged membrane of epithelial cell in zebrafish larvae induced breakage of the yolk. Adult fish exhibited hypoxia before death due to multiple damages induced by LMWCS. Although the toxicity of LMWCS was revealed in zebrafish model, the toxicity was only present in pH less then 7 and easy be neutralized by other negative ions. Collectively, these data improved a new understanding of LMWCS properties.For a class of nonlinear discrete-time networked systems with time-delay and communication constraints, this paper is concerned with the design of robust sliding mode observer (SMO), where only one sensor node is allowed to transmit information to remote observer. We focus on the design of SMO to guarantee the exponentially stable of estimation error system and have a desired H∞ disturbance attenuation level in presence of communication constraints. Firstly, a sensor selector is introduced such that only one sensor node is chosen and its measurement can be transmitted to remote SMO at each time instant. Then, a sufficient condition is derived by introducing a piece-wise Lyapunov functional and using the Jensen's Inequality, which ensures the prescribed performance of estimation error system in the sliding mode surface that we have defined. Moreover, the observer gain matrices can be obtained through solving some matrix inequalities given in the main results. Finally, a simulation study performed on the F404 aircraft engine state monitoring is introduced to validate the robust SMO design.Fuzzy Logic Speed Controller (FLSC) has been widely used for motor drive due to its robustness and its non-reliance to real plant parameters. However, it is computationally expensive to be implemented in real-time and prone to the fuzzy rules' selection error which results in the failure of the drive's system. This paper proposes an improved simplified rules method for Fuzzy Logic Speed Controller (FLSC) based on the significant crisp output calculations to address these issues. A systematic procedure for the fuzzy rules reduction process is first described. Then, a comprehensive evaluation of the activated crisp output data is presented to determine the fuzzy dominant rules. Based on the proposed method, the number of rules was significantly reduced by 72%. The simplified FLSC rule is tested on the Induction Motor (IM) drives system in which the real-time implementation was carried out in the dSPACE DS1103 controller environment. The simulation and experimental results based on the proposed FLSC have proved the workability of the simplified rules without degrading the motor performance.For underwater Strapdown Inertial Navigation System (SINS)/Doppler Velocity Log (DVL) integration system, there are intervals between DVL's transmitting and receiving epochs, which introduces velocity errors when the attitude dynamic occurs. To accelerate the coarse alignment process for SINS/DVL with attitude dynamics, an improved in-motion coarse alignment solution is proposed. First, the DVL aided in-motion coarse alignment method is explored. Then, a DVL velocity compensation algorithm for coarse alignment is proposed. Simulations and a field test are conducted to evaluate the effectiveness of the proposed algorithm under various trajectories. The results indicate that the proposed coarse alignment solution effectively applies the velocity compensation algorithm to the coarse alignment mission, which shows greater performance than the traditional optimization-based alignment (OBA) method in various trajectories.In preparation for the first Global Vaccinology Training workshop in 2018, a survey of 27 advanced vaccinology courses was conducted to provide a landscape of the vaccinology education around the world. Advanced vaccinology courses have expanded dramatically over the last 20 years, with courses located in almost all regions, but with underrepresentation amongst the Eastern part of the European region, the Eastern Mediterranean and the Western Pacific regions. Most courses are of short duration ( less then 2 weeks), have a global or regional reach, and attract a diverse range of participants from high, middle and low-income countries with representation from public health, academia, industry and less often regulators. https://www.selleckchem.com/products/fl118.html Lack of sustainable funding and time commitments of faculty and coordinators is a constraint for most vaccinology courses and needs to be addressed. Continuation and extension of training in vaccinology worldwide will be necessary as increasing number of new and more complex vaccines are introduced, vaccine safety concerns and rumors continue their trend, and reemergence of some vaccine-preventable diseases will require a competent workforce to advance and deploy immunizations to larger populations.