Research on method of vibration analysis of rubber tracked vehicle based on dynamic model

To understand the vibration characteristics of rubber track system in traveling, this research studied the small harvester installed with rubber track system and the dynamic model reflecting vibration characteristics of rubber track system on the ground was constructed. Comparing analysis results with measured experimental data obtained from vehicle test, it is proved that the dynamic model established by theoretical analysis can correctly and effectively predict actual movement condition and vibration characteristics of rubber track system, especially at low test vehicle speeds. The relative difference between measured data of vibration acceleration obtained from real vehicle tests and the theoretical value was in the range of –1.2 %-+18.2 %. The vibration prediction and analysis method of rubber tracked vehicle was discussed in this study, and important basic data were provided for the research of comfort evaluation of working posture and lightweight design of rubber tracked mechanism

Screening of oleaginous yeast with xylose assimilating capacity for lipid and bio-ethanol production

Microbial oil is a promising new biodiesel resource, which have great potential in industrial-scale production. In our preliminary study, 57 oleaginous yeast with xylose assimilating capacity were isolated from 13 soil samples, 16 strains were identified as potential lipid biomass producer. Four strains which showed higher lipid content were used for further ethanol fermentation at different conditions. Strain 9-44 belonging to Pichia guillermondii showed the highest ethanol production (21.91 g/l), and the theoretical ethanol yield was 85.90%. Our study will be of great significance for coupling of lipid and bio-ethanol production, and also provide a choice of cellulocis biomass utilization.Key words: Microbial oil, oleaginous yeast, Pichia guillermondii, bio-ethanol, cellulocis biomass

High Density Lipoprotein (HDL) Promotes Glucose Uptake in Adipocytes and Glycogen Synthesis in Muscle Cells

Background: High density lipoprotein (HDL) was reported to decrease plasma glucose and promote insulin secretion in type 2 diabetes patients. This investigation was designed to determine the effects and mechanisms of HDL on glucose uptake in adipocytes and glycogen synthesis in muscle cells. Methods and Results: Actions of HDL on glucose uptake and GLUT4 translocation were assessed with 1- [ 3 H]-2deoxyglucose and plasma membrane lawn, respectively, in 3T3-L1 adipocytes. Glycogen analysis was performed with amyloglucosidase and glucose oxidase-peroxidase methods in normal and palmitate-treated L6 cells. Small interfering RNA was used to observe role of scavenger receptor type I (SR-BI) in glucose uptake of HDL. Corresponding signaling molecules were detected by immunoblotting. HDL stimulated glucose uptake in a time- and concentration-dependent manner in 3T3-L1 adipocytes. GLUT4 translocation was significantly increased by HDL. Glycogen deposition got enhanced in L6 muscle cells paralleling with elevated glycogen synthase kinase3 (GSK3) phosphorylation. Meanwhile, increased phosphorylations of Akt-Ser473 and AMP activated protein kinase (AMPK) a were detected in 3T3-L1 adipocytes. Glucose uptake and Akt-Ser473 activation but not AMPK-a were diminished in SR-BI knock-down 3T3-L1 cells. Conclusions: HDL stimulates glucose uptake in 3T3-L1 adipocytes through enhancing GLUT4 translocation by mechanisms involving PI3K/Akt via SR-BI and AMPK signaling pathways, and increases glycogen deposition in L6 muscle cells throug

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

Recent progress in using pyrene-4,5-diketones and pyrene-4,5,9,10-tetraketones as building blocks to construct large acenes and heteroacenes

Acenes, usually defined as segments of “graphene”, consist of linearly annulated benzene rings, and have attracted considerable interest in both theoretical research and practical applications. However, these compounds generally have undesirable features such as poor solubility, easy oxidation and photodimerization. Thus, scientists have to invest much effort to address these problems and experimentally achieve the desired electronic properties to meet various demands. Herein, we summarize recent progress in the synthesis of pyrene‐functionalized acenes and heteroacenes through the use of pyrene diketone and pyrene tetraketone building blocks. Moreover, the physical properties and applications of these semiconductors in organic semiconductor devices are also described.MOE (Min. of Education, S’pore

Recent progress on organic donor-acceptor complexes as active elements in organic field-effect transistors

Recently, organic donor–acceptor complexes (co-crystals) have been strongly explored as active elements in organic field-effect transistors (OFETs) due to their tunable energy level and different stacking modes. The performance of co-crystal-based FETs can be enhanced through the design and synthesis of novel complexes, the control of the self-assembling morphology of co-crystals on substrates, and the optimization of the fabrication conditions of devices. In this review, we will summarize the recent progress on the methods to prepare donor (D)–acceptor (A) co-crystals and their films, present their structure–property relationships, and discuss their potential applications in OFETs according to the co-crystals with different acceptors, namely, (a) tetracyanoquinodimethane (TCNQ) and derivatives; (b) fullerene derivatives (such as C60 and C70); and (c) naphthalenediimide and perylenediimide derivatives. Moreover, co-crystal-based solid solutions and their FET performance are also mentioned.MOE (Min. of Education, S’pore

Hierarchical-fuzzy allocation and multi-parameter adjustment prediction for industrial loading optimisation

Conventional manual-programmable logic controller systems have confronted the problems of the unbalance load and the unreasonable bins allocation in industrial loading field. Furthermore, various optimisation models with multi-agent systems have been proposed for the single-layer scheduling and communicating, which results in either a high time cost or a difficult multi-target regression. In this paper, we propose a hierarchical-fuzzy bins allocation method and a multi-parameter adjustment values prediction model in the multi-agent collaborative control system. The method intuitively achieves topgallant and hierarchical bins allocation by different fuzzy rule bases. The multi-parameter adjustment values prediction model utilising parallel-multi LSTM(PM-LSTM) is located on the accurate multi-parameter prediction. First, new loading reference standards and an abnormal data procession method are adopted for the dataset collection. Second, the LSTM-1 is used to extract the time-series features in the loading process. Third, a two-dimensional and reconstructed matrix integrates comprehensive features with the feature crossover method. The matrix will be used as inputs to predict the adjustment value of multi parameters by the LSTM-2. Finally, the relationship model among multi parameter values is built and fitted. Experiment results show better effects for the reasonable bins allocation and balanced industrial loading

Poly(2,5-dihydroxy-1,4-benzoquinonyl sulfide) as an efficient cathode for high-performance aqueous zinc–organic batteries

Aqueous rechargeable zinc-ion batteries (ZIBs) have attracted considerable attention as a promising candidate for low-cost and high-safety electrochemical energy storage. However, the advancement of ZIBs is strongly hindered by the sluggish ionic diffusion and structural instability of inorganic metal oxide cathode materials during the Zn2+ insertion/extraction. To address these issues, a new organic host material, poly(2,5-dihydroxy-1,4-benzoquinonyl sulfide) (PDBS), has been designed and applied for zinc ion storage due to its elastic structural factors (tunable space and soft lattice). The aqueous Zn-organic batteries based on the PDBS cathode show outstanding cycling stability and rate capability. The coordination moieties (O and S) display the strong electron donor character during the discharging process and can act as the coordination arms to host Zn2+. Also, under the electrochemical environment, the malleable polymer structure of PDBS permits the rotation and bending of polymer chains to facilitate the insertion/extraction of Zn2+, manifesting the superiority and uniqueness of organic electrode materials in the polyvalent cation storage. Finally, quasi-solid-state batteries based on aqueous gel electrolyte demonstrate highly stable capacity under different bending conditions.Ministry of Education (MOE)Accepted versio