Dynamic network Malmquist model based on green input-output table

Workshop 2013 on Dynamic and Network DEA (January 29-30, 2013)For revealing the influence of intermediate transactions between industrial sectors to the dynamic performance, this paper develops a framework of dynamic performance with network structure measurement by establishing a dynamic network Malmquist productivity index (DNMPI) model following the dynamic network slacks-based measure (DNSBM) model. In order to explore the performance, we decompose the model to identify the dynamic efficiency (inter-temporal influence) and the network efficiency (sector interaction) based on green accounting. Furthermore, this paper analyzes Chinese dynamic performance with network structure influenced by energy-economy-environment (3E) in the view of industrial chain effect. We apply it to analyze the data of 40 industrial sectors in China from 2002, 2005 and 2007. Based on empirical results, we systematically indicate the influence of energy efficiency and environment efficiency to the economic development in China.This workshop is supported by JSPS KAKENHI Grant Number 22310096 under the title “Theory and Applications of Dynamic DEA with Network Structure.

A multi-channel photometric detector for multi-component analysis in flow injection analysis

The detector, a multi-channel photometric detector, described in this paper was developed using multi-wavelength LEDs (light emitting diode) and phototransistors for absorbance measurement controlled by an Intel 8031 8-bit single chip microcomputer. Up to four flow cells can be attached to the detector. The LEDs and phototransistors are both inexpensive, and reliable. The results given by the detector for simultaneous determination of trace amounts of cobalt and cadmium in zinc sulphate electrolyte are reported. Because of the newly developed detector, this approach employs much less hardware apparatus than by employing conventional photometric detectors

Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach

Rapid urbanisation worldwide, especially in developing countries and areas, has led to the generation of large amounts of construction and demolition waste (C&DW). The resultant transportation demands pose severe threats to safe transportation and secure city operation. By considering the low-probability–high-consequence nature of C&DW traffic accidents and the effectiveness of route optimisation in transportation risk control, a risk-averse project was implemented. Furthermore, an optimal routing model based on the conditional value at risk (CVaR) criterion is proposed. The model considered various risk-averse attitudes of decision-makers. For practicality and for strongly supporting policy-making, big data technology, including the construction of multistructure databases and in-depth analysis, was applied to achieve the proposed CVaR routing model. Therefore, the present study extended the CVaR method to optimal routing design in the field of safe urban C&DW transportation and integrated the optimal model with big data technology

Effects of density dependence in a temperate forest in northeastern China

CITATION: Yao, J., et al. 2016. Effects of density dependence in a temperate forest in northeastern China. Scientific Reports 6:32844, doi:10.1038/srep32844.The original publication is available at http://www.nature.com/srepENGLISH ABSTRACT: Negative density dependence may cause reduced clustering among individuals of the same species, and evidence is accumulating that conspecific density-dependent self-thinning is an important mechanism regulating the spatial structure of plant populations. This study evaluates that specific density dependence in three very large observational studies representing three successional stages in a temperate forest in northeastern China. The methods include standard spatial point pattern analysis and a heterogeneous Poisson process as the null model to eliminate the effects of habitat heterogeneity. The results show that most of the species exhibit conspecific density-dependent self-thinning. In the early successional stage 11 of the 16 species, in the intermediate successional stage 18 of the 21 species and in the old growth stage all 21 species exhibited density dependence after removing the effects of habitat heterogeneity. The prevalence of density dependence thus varies among the three successional stages and exhibits an increase with increasing successional stage. The proportion of species showing density dependence varied depending on whether habitat heterogeneity was removed or not. Furthermore, the strength of density dependence is closely related with species abundance. Abundant species with high conspecific aggregation tend to exhibit greater density dependence than rare species.https://www.nature.com/articles/srep32844Publisher's versio

MiR-543 regulates the epigenetic landscape of myelofibrosis by targeting TET1 and TET2

Myelofibros is (MF) is a myeloproliferative neoplasm characterized by cytopenia and extramedullary hematopoiesis, resulting in splenomegaly. Multiple pathological mechanisms (e.g., circulating cytokines and genetic alterations, such as JAK(V617F) mutation) have been implicated in the etiology of MF, but the molecular mechanism causing resistance to JAK(V617F) inhibitor therapy remains unknown. Among MF patients who were treated with the JAK inhibitor ruxolitinib, we compared noncoding RNA profiles of ruxolitinib therapy responders versus nonresponders and found miR-S43 was significantly upregulated in non responders. We validated these findings by reverse transcription-quantitative PCR. in this same cohort, in 2 additional independent MF patient cohorts from the United States and Romania, and in a JAK2(V617F) mouse model of MF. Both in vitro and in vivo models were used to determine the underlying molecular mechanism of miR-543 in MF. Here, we demonstrate that miR-543 targets the dioxygenases ten-eleven translocation 1 (TET1) and 2 (TET2) in patients and in vitro, causing increased levels of global 5-methylcytosine, while decreasing the acetylation of histone 3, STAT3, and tumor protein p53. Mechanistically, we found that activation of STAT3 by JAKs epigenetically controls miR-543 expression via binding the promoter region of miR-543. Furthermore, miR-543 upregulation promotes the expression of genes related to drug metabolism, including CYP3A4, which is involved in ruxolitinib metabolism. Our findings suggest miR-543 as a potentially novel biomarker for the prognosis of MF patients with a high risk of treatment resistance and as a potentially new target for the development of new treatment options

Genome Sequence and Transcriptome Analysis of the Radioresistant Bacterium Deinococcus gobiensis: Insights into the Extreme Environmental Adaptations

The desert is an excellent model for studying evolution under extreme environments. We present here the complete genome and ultraviolet (UV) radiation-induced transcriptome of Deinococcus gobiensis I-0, which was isolated from the cold Gobi desert and shows higher tolerance to gamma radiation and UV light than all other known microorganisms. Nearly half of the genes in the genome encode proteins of unknown function, suggesting that the extreme resistance phenotype may be attributed to unknown genes and pathways. D. gobiensis also contains a surprisingly large number of horizontally acquired genes and predicted mobile elements of different classes, which is indicative of adaptation to extreme environments through genomic plasticity. High-resolution RNA-Seq transcriptome analyses indicated that 30 regulatory proteins, including several well-known regulators and uncharacterized protein kinases, and 13 noncoding RNAs were induced immediately after UV irradiation. Particularly interesting is the UV irradiation induction of the phrB and recB genes involved in photoreactivation and recombinational repair, respectively. These proteins likely include key players in the immediate global transcriptional response to UV irradiation. Our results help to explain the exceptional ability of D. gobiensis to withstand environmental extremes of the Gobi desert, and highlight the metabolic features of this organism that have biotechnological potential

Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China

The “New Normal” of Chinese economy represents the importance of economic performance. To analyze the provincial performance of the low-carbon economy in China, this paper constructed a three-stage dynamic Malmquist model considering the evolutionary promotion of productivity and technical progress. This paper incorporates the lag effect of capital accumulation into the performance evaluation to ensure transitivity and continuity. Furthermore, the inefficiency of the low-carbon economy arises from the disadvantages of resources endowments; therefore, it is necessary to eliminate these to evaluate managerial performance. This paper not only evaluates the provincial performance of the low-carbon economy but also suggests the sources and impetus of regional low-carbon economy development to find feasible transition paths. The empirical results reveal that the performance of the low-carbon economy presents a gradient distribution with obvious distinctions among the eastern, central, and western regions. Tianjin and Hebei should emphasize the optimal allocation of their own resources. Jiangxi and Hunan, by contrast, should focus on the perfection of the resources endowments

Biomass allocation patterns and allometric relationships between components of the androdioecious Acer tegmentosum

International audienceAbstractKey messageWe present comparisons about biomass allocation between males and hermaphrodites of androdioeciousAcer tegmentosumMaxim.. Different biomass allocation patterns were found, and males were shown to have a larger investment into coarse roots and foliage.ContextSexual dimorphism in differences of reproductive costs between genders has been widely reported for trees, but we still know little about allometric relationships between tree components in both genders.AimsWe present biomass allocation patterns and relationships between components of the androdioecious A. tegmentosum in a broad-leaved mixed forest in northeastern China. The objectives of this study were to examine how gender affects the biomass structure of androdioecious species and how the gender-related reproductive efforts affect the allometric relationships.MethodsWe harvested 31 hermaphrodite and 29 male A. tegmentosum trees and opted for diameter at breast height, tree height, and crown length as the independent variables and various biomass components as the dependent variables. Five types of function were used to model allometry equations.ResultsBiomass allocation between genders was different, and the best biomass model for each biomass component varies between genders. Males have a higher investment in foliage and coarse root biomass than hermaphrodites, and hermaphrodites invested more in reproduction than males.ConclusionBiomass equations are strongly gender-related. Males tended to invest a larger fraction of the vegetative biomass into leaves and coarse roots