Technological learning in six firms in Southern China: success and limits of an industrialisation model

This article examines the creation of industrial enterprises and the basic models of firm-level technological learning behaviour of the last 20 years in China. Six case studies of technological learning and links to external sources of know-how from the South of China in the Pearl River Delta are examined. It is shown that the learning process that has been experienced in these enterprises is similar to that of other fast growing East Asian economies. Until now enterprises have been acquiring technology through external linkages with foreign clients that become their main providers of technology. A detailed account of the enterprises allows a typology of the external technological learning. It is claimed that the growth of the South China lies in this ‘external’ interactive technological learning, as in other East Asian economies.Asia; China; industrial development; technological learning; private enterprises; interactive learning; economic reform

RNAi technology extends its reach: Engineering plant resistance against harmful eukaryotes

RNA interference (RNAi) is a homology-dependent gene silencing technology that is initiated by double stranded RNA (dsRNA). It has emerged as a genetic tool for engineering plants resistance against prokaryotic pathogens such as virus and bacteria. Recent studies broaden the role of RNAi, and many successful examples have described the application of RNAi for engineering plant resistance against a range of eukaryotic organisms. Expression of dsRNA directed against suitable eukaryotic pathogens target genes in transgenic plants has been shown to give protection against harmful eukaryotic species, including nematodes, herbivorous insects, parasitic weeds and fungi. This review addresses the progress of RNAi-based transgenic plant resistance against these four class eukaryotic pests, as well as future challenges and prospects.Key words: dsRNA, RNAi, crop resistance, biotechnology, nematode, insect, parasitic weed, fungus

Long SAGE analysis of genes differentially expressed in the midgut and silk gland between the sexes of the silkwormBombyx mori

There are great differences in silk production efficiency and quality between the male and female domestic silkworm (Bombyx mori). Many genes act together but are differentially expressed between the sexes during silk biosynthesis. Two long serial analyses of gene expression (SAGE) libraries were constructed from the midguts and silk glands of both males and females of a sex-limited strain using 5th instar larvae, yielding in total 96,713 and 98,126 SAGE tags, respectively. Among these tags, 202 were analyzed (p < 0.05 and at least a 2.0-fold change between sexes). Overall, 69 genes were then annotated in detail and 15 tags were annotated with expressed sequence tags (ESTs) based only on the NCBI, SilkDB and long-SAGE libraries. Of these genes, only three could be ascribed to sexual disparity as described by microarray-based expression resources of day three of 5th instar in Dazao B. mori microarray database (BmMDB). The other 66 genes were considered the SAGE-extracted genes that are differentially expressed between the sexes of the whole 5th instar larvae. Among the 66 genes and 15 tags, genes (and gene families) sex-specific storage-protein 1 gene (Sp1), low molecular mass 30 kDa lipoprotein 19G1 gene (Lp-c19), serine proteinase family [serine protease precursor gene (Spp) and chymotrypsin-like serine protease gene (Ctlp)], Serpins (Spi1 and Spi2) and Ser1, and the tag 1161 (annotated EST No. BY926524), which are involved in protein digestion in the midgut, synthesis of silk and inhibition of protein disintegration in silk gland, were verified by the remarkable disparities in gene expression between the sexes. The established SAGE library would contribute to the further identification of genes related to sexual disparity in silk protein production efficiency.Key words: Bombyx mori, sexes, silk protein production efficiency, long-SAGE, differentially expressed genes

A Two-Time Scale Decentralized Model Predictive Controller Based on Input and Output Model

A decentralized model predictive controller applicable for some systems which exhibit different dynamic characteristics in different channels was presented in this paper. These systems can be regarded as combinations of a fast model and a slow model, the response speeds of which are in two-time scale. Because most practical models used for control are obtained in the form of transfer function matrix by plant tests, a singular perturbation method was firstly used to separate the original transfer function matrix into two models in two-time scale. Then a decentralized model predictive controller was designed based on the two models derived from the original system. And the stability of the control method was proved. Simulations showed that the method was effective

Activation detection in functional near-infrared spectroscopy by wavelet coherence

Functional near-infrared spectroscopy (fNIRS) detects hemodynamic responses in the cerebral cortex by transcranial spectroscopy. However, measurements recorded by fNIRS not only consist of the desired hemodynamic response but also consist of a number of physiological noises. Because of these noises, accurately detecting the regions that have an activated hemodynamic response while performing a task is a challenge when analyzing functional activity by fNIRS. In order to better detect the activation, we designed a multiscale analysis based on wavelet coherence. In this method, the experimental paradigm was expressed as a binary signal obtained while either performing or not performing a task. We convolved the signal with the canonical hemodynamic response function to predict a possible response. The wavelet coherence was used to investigate the relationship between the response and the data obtained by fNIRS at each channel. Subsequently, the coherence within a region of interest in the time-frequency domain was summed to evaluate the activation level at each channel. Experiments on both simulated and experimental data demonstrated that the method was effective for detecting activated channels hidden in fNIRS data

Technological learning in six firms in Southern China: success and limits of an industrialisation model

This article examines the creation of industrial enterprises and the basic models of firm-level technological learning behaviour of the last 20 years in China. Six case studies of technological learning and links to external sources of know-how from the South of China in the Pearl River Delta are examined. It is shown that the learning process that has been experienced in these enterprises is similar to that of other fast growing East Asian economies. Until now enterprises have been acquiring technology through external linkages with foreign clients that become their main providers of technology. A detailed account of the enterprises allows a typology of the external technological learning. It is claimed that the growth of the South China lies in this ‘external’ interactive technological learning, as in other East Asian economies

Multilevel Nitrogen Additions Alter Chemical Composition and Turnover of the Labile Fraction Soil Organic Matter via Effects on Vegetation and Microorganisms

Global nitrogen (N) deposition greatly impacts soil carbon sequestration. A 2- yr multiple N addition (0, 10, 20, 40, 80, and 160 kg N·ha- 1·yr- 1) experiment was conducted in alpine grassland to illustrate the mechanisms underlying the observed soil organic matter (SOM) dynamics on the Qinghai- Tibet Plateau (QTP). Labile fraction SOM (LF- SOM) fingerprints were characterized by pyrolysis- gas chromatography/tandem- mass spectrometry, and microbial functional genes (GeoChip 4.6) were analyzed in conjunction with LF- SOM fingerprints to decipher the responses of LF- SOM transformation to N additions. The significant correlations between LF- SOM and microbial biomass, between organic compounds in LF- SOM and compound degradation- related genes, and between LF- SOM and net ecosystem exchange implied LF- SOM were the main fraction utilized by microorganisms and the most sensitive fraction to N additions. The LF- SOM increased at the lowest N addition levels (10 and 20 kg N·ha- 1·yr- 1) and decreased at higher N addition levels (40 to 160 kg N·ha- 1·yr- 1), but the decrease of LF- SOM was weakened at 160 kg N·ha- 1·yr- 1 addition. The nonlinear response of LF- SOM to N additions was due to the mass balance between plant inputs and microbial degradation. Plant- derived compounds in LF- SOM were more sensitive to N addition than microbial- derived and aromatic compounds. It is predicted that when the N deposition rate increased by 10 kg N·ha- 1·yr- 1 on the QTP, carbon sequestration in the labile fraction may increase by nearly 170% compared with that under the current N deposition rate. These findings provide insight into future N deposition impacts on LF- SOM preservation on the QTP.Key PointsThe LF- SOM quantity increased at the lowest N additions (N10 and N20) and decreased from N40 to N160, but the decrease was weakened at the highest N addition (N160)Plant- derived compounds in LF- SOM were more sensitive to N addition than microbial- derived and aromatic compoundsThe organic compounds in LF- SOM were significantly correlated with compound degradation- related genesPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154963/1/jgrg21637_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154963/2/jgrg21637.pd

Technological learning in six firms in Southern China: success and limits of an industrialisation model

This article examines the creation of industrial enterprises and the basic models of firm-level technological learning behaviour of the last 20 years in China. Six case studies of technological learning and links to external sources of know-how from the South of China in the Pearl River Delta are examined. It is shown that the learning process that has been experienced in these enterprises is similar to that of other fast growing East Asian economies. Until now enterprises have been acquiring technology through external linkages with foreign clients that become their main providers of technology. A detailed account of the enterprises allows a typology of the external technological learning. It is claimed that the growth of the South China lies in this ‘external’ interactive technological learning, as in other East Asian economies