Research on the Evaluation of Green Logistics Based on Cloud Model

Businesses According to the theory of sustainable development, combining with the current development status of the social logistics industry and the characteristics of green logistics, constructing a green logistics evaluation index system. Using cloud model and Delphi method to calculate the cloud weight of green logistics evaluation index, qualitative and quantitative conversion of evaluation index is realized by cloud generator. Take Jiangsu Province as an example to do empirical research, using the cloud model and its algorithm to get the evaluation cloud of green logistics, observing the evaluation result directly and discovering problem easy by comparing the evaluation cloud chart with ruler cloud chart. The evaluation results show that the cloud model is more reasonable, and the credibility of the evaluation results is improved

Disentangled Feature Learning for Real-Time Neural Speech Coding

Recently end-to-end neural audio/speech coding has shown its great potential to outperform traditional signal analysis based audio codecs. This is mostly achieved by following the VQ-VAE paradigm where blind features are learned, vector-quantized and coded. In this paper, instead of blind end-to-end learning, we propose to learn disentangled features for real-time neural speech coding. Specifically, more global-like speaker identity and local content features are learned with disentanglement to represent speech. Such a compact feature decomposition not only achieves better coding efficiency by exploiting bit allocation among different features but also provides the flexibility to do audio editing in embedding space, such as voice conversion in real-time communications. Both subjective and objective results demonstrate its coding efficiency and we find that the learned disentangled features show comparable performance on any-to-any voice conversion with modern self-supervised speech representation learning models with far less parameters and low latency, showing the potential of our neural coding framework.Comment: Submitted to ICASSP202

Transcriptome differences between 20- and 3,000-year-old Platycladus orientalis reveal that ROS are involved in senescence regulation

Background: Platycladus orientalis has an extremely long life span of several thousands of years, attracting great interests in the mechanisms involved in such successful senescence regulation and resistance at physiological and molecular levels. Results: The levels of reactive oxygen species (ROS) were higher in 3,000-year-old than in 20-year-old P. orientalis, and the activities of GR and GSH demonstrated the same trend. We produced and analyzed massive sequence information from pooled samples of P. orientalis through transcriptome sequencing, which generated 51,664 unigenes with an average length of 475 bp. We then used RNA-seq analysis to obtain a high-resolution age\u2013course profile of gene expression in 20- and 3,000-year-old P. orientalis individuals. Totally, 106 differentially expressed genes were obtained, of which 47 genes were downregulated and 59 upregulated in the old tree. These genes were involved in transcription factors, hormone-related responses, ROS scavengers, senescence-related responses, stress response, and defense and possibly play crucial roles in tackling various stresses in the 3,000-year-old P. orientalis during its life time. The expression patterns of genes related to ROS homeostasis further indicated that the high ability of ROS scavenging could be helpful for the 3,000-year-old P. orientalis to resist senescence. Conclusions: This study provides a foundation for the elucidation of senescence resistance through molecular studies and the discovery of useful genes in P. orientalis

Metabolic profiling reveals key metabolites regulating adventitious root formation in ancient Platycladus orientalis cuttings

Platycladus orientalis, a common horticultural tree species, has an extremely long life span and forms a graceful canopy. Its branches, leaves, and cones have been used in traditional Chinese medicine. However, difficulty in rooting is the main limiting factor for the conservation of germplasm resources. This study shows that the rooting rates and root numbers of cuttings were significantly reduced in ancient P. orientalis donors compared to 5-year-old P. orientalis donors. The contents of differentially accumulated metabolites (DAMs) in phenylpropanoid (caffeic acid and coniferyl alcohol) and flavonoid biosynthesis (cinnamoyl-CoA and isoliquiritigenin) pathways increased significantly in cuttings propagated from ancient P. orientalis donors compared to 5-year-old P. orientalis donors during adventitious root (AR) formation. These DAMs may prevent the ancient P. orientalis cuttings from rooting, and gradual lignification of callus was one of the main reasons for the failed rooting of ancient P. orientalis cuttings. The rooting rates of ancient P. orientalis cuttings were improved by wounding the callus to identify wounding-induced rooting-promoting metabolites. After wounding, the contents of DAMs in zeatin (5′-methylthioadenosine, cis-zeatin-O-glucoside, and adenine) and aminoacyl-tRNA biosynthesis (l-glutamine, l-histidine, l-isoleucine, l-leucine, and l-arginine) pathways increased, which might promote cell division and provided energy for the rooting process. The findings of our study suggest that breaking down the lignification of callus via wounding can eventually improve the rooting rates of ancient P. orientalis cuttings, which provides a new solution for cuttings of other difficult-to-root horticultural and woody plants

Isolation and Characterization of a Chinese Hamster Ovary Heparan Sulfate Cell Mutant Defective in Both Met Receptor Binding and Hepatocyte Growth Factor NK1/Met Signaling

Background/Aims: The up-regulation of hepatocyte growth factor/receptor, HGF/Met, signal transduction is observed in most of human cancers. Specific heparan sulfate structures enhance the HGF/Met signaling at both cell and animal-based model systems. Biochemical studies indicate that heparan sulfate interacts with HGF and a natural occurring splicing variant NK1 of HGF with similar affinity. However, it is currently unknown if cell surface heparan sulfate binds to Met at physiological conditions and if specific cell surface heparan sulfate structures are required for effective HGF/Met or NK1/Met signaling. Methods: An established flow sorting strategy was used to isolate a soluble Met recombinant protein-binding positive or negative CHO cell clones different only in specific heparan sulfate structures. The cell surface bindings were imaged by confocal microscopy and flow cytometry analysis. Glucosamine vs. galactosamine contents from media-, cell surface-, and cell association glycosaminoglycans were quantified by HPLC. 35S-sulfate labeled glycosaminoglycans were characterized by anion exchange and size-exclusion HPLC. Heparan sulfate disaccharide compositions were determined by HPLC-MS analysis. Western blot analyses of MAPK-p42/44 were used to monitor HGF- and NK1-facillated Met signaling. Results: CHO-Positive but not CHO-Negative cell surface heparan sulfate bound to Met recombinant protein and HGF/NK1 further promoted the binding. Overall glycosaminoglycan analysis results indicated that the CHO-Negative cells had reduced amount of heparan sulfate, shorter chain length, and less 6-O-sulfated disaccharides compared to that of CHO-Positive cells. Moreover, CHO-Negative cells were defective in NK1/Met but not HGF/Met signaling. Conclusions: This study demonstrated that soluble Met recombinant protein bound to cell surface HS at physiological conditions and a Met /HGF or NK1/HS ternary signaling complex might be involved in Met signaling. Shorter HS chains and reduced 6-O-sulfation might be responsible for reduced Met binding and the diminished NK1-initiated signaling in the CHO-Negative cells. The unique CHO-Positive and CHO-Negative cell clones established in current study should be effective tools for studying the role of specific glycosaminoglycan structures in regulating Met signaling. Such knowledge should be useful in developing glycosaminoglycan-based compounds that target HGF/Met signaling

Multi-Gas Mitigation Analysis by IPAC

By recognizing the importance of non-CO2 gases mitigation for climate change abatement, modeling study for multi-gas scenarios was conducted by using IPAC model. This is also part of EMF-21 study for comparing the cost for CO2 mitigation and multi-gas mitigation. The main objective of this analysis is to evaluate the international potential and costs of non-CO2 greenhouse gas abatement. Three scenarios were defined by EMF-21 study including modeler reference, CO2 only mitigation scenario and multi-gas mitigation scenario. By comparing the results for the three scenarios, it is found that there is quite large potential for non-CO2 mitigation potential. Multi-gas mitigation policies could have lower cost compared with CO2 only mitigation policies. In order to reach same mitigation target level of GHG emission, there could be 30% lower carbon tax rate for multi-gas mitigation, and therefore GDP loss could be reduced by 23% in 2100. Multi-gas mitigation could give less pressure for energy system to transform.

Low Carbon Technology Development Roadmap for China

It is essential that China follows a low carbon pathway, in which technology plays a key role in the future economy and social development. Based on the Integrated Policy Assessment Model for China, this paper analyzes a technology development roadmap for China to achieve a low carbon scenario. The results show that there are plenty of potential and opportunities for China to move towards a low carbon society when given enhanced and accelerated applications and expansions of key low carbon technologies. Strong policy and measure supports from all sectors in China are needed to achieve this goal. Liu, Q., K. Jiang, and X. Hu, 2011: Low carbon technology development roadmap for China. Adv. Clim. Change Res., 2 (2), doi: 10.3724/SP.J.1248.2011.00067