Fuzzy intertransaction class association rule mining using Genetic Network Programming for stock market prediction

Intertransaction class association rule (interCAR) has the ability to find the relationships among attributes from different transactions, which has shown its effectiveness for stock market prediction. A crisp interCAR mining method based on Genetic Network Programming (GNP) has been studied in our previous work. But, the crisp method loses much useful information in the discretization and it has many unstable factors influencing the prediction results, so more information is desired in order to make the prediction safer and more efficient. In this paper, a fuzzy interCAR mining method is proposed to keep as much information as possible in the data transformation. Besides, the proposed method has ability that the trading actions bring large profits. The proposed method is applied to Tokyo Stock Exchange, where we compared it with the crisp method as well as some other methods. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

High cell-density expression system: a novel method for extracellular production of difficult-to-express proteins

Yeast's extracellular expression provides a cost-efficient means of producing industrially useful recombinant proteins. However, depending on the protein to be expressed, the production results in a poor yield, which is occasionally accompanied with loss of the expression plasmid and hence hampered growth of the host in the inducing medium. Here we propose an alternative approach, high cell-density expression, to improve the yield of a certain range of so-called difficult-to-express proteins. In this expression system, recombinant yeast cells resting in stationary phase (OD(660)=3-4) are suspended in a small aliquot of inducing medium to form a high cell-density culture (e.g., OD(660)=15). When applied to the yeast strains harboring Lentinula edodes laccase (Lcc1 or Lcc4) expressing plasmids, the high cell-density system allowed the host cells to synthesize elevated amounts of the laccase which resulted in >1000- to 6000-fold higher yield than those synthesized in a classical growth-associated manner. The resting cells required aerobic agitation for the maximum production. The production system also worked for other foreign enzymes but not for beta-galactosidase from Aspergillus oryzae or Escherichia coli, likely suggesting an involvement of chaperons that act on a certain range of secretory proteins.     

Genome-wide expression analysis of Saccharomyces pastorianus orthologous genes using oligonucleotide microarrays

The lager brewing yeast, Saccharomyces pastorianus, an allopolyploid species hybrid, contains 2 diverged sub-genomes; one derived from Saccharomyces cerevisiae (Sc-type) and the other from Saccharomyces bayanus (Sb-type). We analyzed the functional roles of these orthologous genes in determining the phenotypic features of S. pastorianus. We used a custom-made oligonucleotide microarray containing probes designed for both Sc-type and Sb-type ORFs for a comprehensive expression analysis of S. pastorianus in a pilot-scale fermentation. We showed a high degree of correlation between the expression levels and the expression changes for a majority of orthologous gene sets during the fermentation process. We screened the functional categories and metabolic pathways where Sc- or Sb-type genes have higher expression levels than the corresponding orthologous genes. Our data showed that, for example, pathways for sulfur metabolism, cellular import, and production of branched amino acids are dominated by Sb-type genes. This comprehensive expression analysis of orthologous genes can provide valuable insights on understanding the phenotype of S. pastorianus.     

EvoCMAR: A New Evolutionary Method to Directly Mine Association Rules for Classification

In this paper, we propose an evolutionary method with a three‐layer structure to directly mine association rules for classification. The association rules have been demonstrated to be useful for classification, such as classification based on association rule (CBA) and classification method based on multiple association rule (CMAR), and they are found to be more accurate than some traditional methods, such as C4.5. Generally speaking, there are two phases in an associative classification method: (i) association rules mining; (ii) classification by association rules. However, the two phases are almost separated, viz, during the first phase, the mining of association rules does not focus on classification. Moreover, when building the classifier in the second phase, most of the association rues will be pruned. As a result, if we are able to directly mine the classification association rules, we can save time. Meanwhile, we can expect even better accuracy because the mining procedure itself considers the classification. In this paper, we build a novel evolutionary method, named evolutionary classification method based on multiple association rule (EvoCMAR), to tackle these problems, and the simulation results show that it performs well in both accuracy and speed. © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

Physicochemical properties of cross-linked poly-gamma-glutamic acid and its flocculating activity against kaolin suspension

Cross-linked poly-gamma-glutamic acid (C-L gamma-PGA) was prepared with gamma-PGA irradiated with gamma-ray at various kGy values. The physicochemical properties including viscosity and water absorption capacity were compared between C-L gamma-PGA and several typical flocculating agents. The viscosity of C-L gamma-PGA increased with the dose of gamma-irradiation, although the water absorption capacity of C-L gamma-PGA did not, which showed a maximum of 1005.6 ml/g at 20 kGy. Flocculating activity against kaolin suspension was not observed for any of the test compounds when used singly. However, the activity of C-L gamma-PGA markedly increased following the addition of polyaluminum chloride. The activity increased with temperature up to 80 degrees C and remained at 80 degrees C of heat pretreatment for 1 h, but did not at more than 50 degrees C of heat pretreatment for 24 h. The activity was also observed within a pH range of 4.5-10.0. Both the water absorption capacity and flocculating activity of C-L gamma-PGA decreased in parallel with increasing NaCl concentration, suggesting that the flocculating activity of C-L gamma-PGA was associated with its water absorption capacity, rather than viscosity. An investigation of the effects of various cations on the flocculating activity of C-L gamma-PGA showed that only trivalent cations had a synergistic effect. The mechanism of C-L gamma-PGA flocculating activity is discussed based on the results of preliminary experiments.     

Novel Inhibitor for Downstream Targeting of Transforming Growth Factor-β Signaling to Suppress Epithelial to Mesenchymal Transition and Cell Migration

Cancer metastasis accounts for most of the mortality associated with solid tumors. However, antimetastatic drugs are not available on the market. One of the important biological events leading to metastasis is the epithelial to mesenchymal transition (EMT) induced by cytokines, namely transforming growth-factor-β (TGF-β). Although several classes of inhibitors targeting TGF-β and its receptor have been developed, they have shown profound clinical side effects. We focused on our synthetic compound, HPH-15, which has shown anti-fibrotic activity via the blockade of the TGF-β Smad-dependent signaling. In this study, 10 μM of HPH-15 was found to exhibit anti-cell migration and anti-EMT activities in non-small-cell lung cancer (NSCLC) cells. Although higher concentrations are required, the anti-EMT activity of HPH-15 has also been observed in 3D-cultured NSCLC cells. A mechanistic study showed that HPH-15 inhibits downstream TGF-β signaling. This downstream inhibition blocks the expression of cytokines such as TGF-β, leading to the next cycle of Smad-dependent and -independent signaling. HPH-15 has AMPK-activation activity, but a relationship between AMPK activation and anti-EMT/cell migration was not observed. Taken together, HPH-15 may lead to the development of antimetastatic drugs with a new mechanism of action.     

Hill Plot Focusing on Ce Compounds with High Magnetic Ordering Temperatures and Consequent Study of Ce<Subscript>2</Subscript>AuP<Subscript>3</Subscript>

The Hill plot is a well-known criterion of the f-electron element interatomic threshold distance separating the nonmagnetic state from the magnetic state in actinides and lanthanides. We have reinvestigated the Hill plot of Ce compounds using the commercial crystallographic database CRYSTMET, focusing on a relationship between the Ce-Ce distance and the magnetic ordering temperature because a Ce compound with no other magnetic elements rarely has a magnetic ordering temperature that is higher than 20 K. The Hill plot of approximately 730 compounds has revealed that a Ce compound, particularly a ferromagnet, showing a high magnetic ordering temperature would require a short Ce-Ce distance with a suppression of the valence instability of the Ce ion. From the study, we developed interest in Ce₂AuP₃ with a Curie temperature of 31 K. The ferromagnetic nature of this material has been examined in terms of a doping effect, which suggests a possible increase in magnetic anisotropy energy.     

Inhibition of the Phospholipase Cε–c-Jun N-Terminal Kinase Axis Suppresses Glioma Stem Cell Properties

Glioma stem cells (GSCs), the cancer stem cells of glioblastoma multiforme (GBM), contribute to the malignancy of GBM due to their resistance to therapy and tumorigenic potential; therefore, the development of GSC-targeted therapies is urgently needed to improve the poor prognosis of GBM patients. The molecular mechanisms maintaining GSCs need to be elucidated in more detail for the development of GSC-targeted therapy. In comparison with patient-derived GSCs and their differentiated counterparts, we herein demonstrated for the first time that phospholipase C (PLC)ε was highly expressed in GSCs, in contrast to other PLC isoforms. A broad-spectrum PLC inhibitor suppressed the viability of GSCs, but not their stemness. Nevertheless, the knockdown of PLCε suppressed the survival of GSCs and induced cell death. The stem cell capacity of residual viable cells was also suppressed. Moreover, the survival of mice that were transplanted with PLCε knockdown-GSCs was longer than the control group. PLCε maintained the stemness of GSCs via the activation of JNK. The present study demonstrated for the first time that PLCε plays a critical role in maintaining the survival, stemness, and tumor initiation capacity of GSCs. Our study suggested that PLCε is a promising anti-GSC therapeutic target.     

Platinum on Carbon‐Catalyzed Precise Reduction Control of Trichloromethyl to Geminal‐Dichloromethyl Groups

Geminal‐dichloromethyl derivatives could be efficiently synthesized by the highly chemoselective platinum on carbon‐catalyzed mono‐dechlorination of trichloromethyl substrates in dimethylacetamide (DMA) as a specific solvent at 25 °C under a hydrogen atmosphere.