Visualized Cognitive Knowledge Map Integration for P2P Networks

In the knowledge management field, knowledge map created under the client-server architecture has been widely used to direct the knowledge sharing process. Peer-to-peer (P2P) architecture has been practicable for file sharing, distributed computing, instant messaging, etc. by virtue of the increases of Internet bandwidth and personal computer capability. P2P architecture attracts researchers and practitioners to study knowledge sharing issues in its autonomy and self-organization characters. It calls for academic efforts to design knowledge management supporting system as that for client-server architecture may not be applicable. This study proposes a visualized cognitive knowledge map integration system to facilitate knowledge management on P2P networks. By using the SOM (Self-Organized Map)-like model, called Egocentric SOM (ESOM), the prototyping system can merge the external knowledge under a focal peer’s knowledge structure and present the cognitive knowledge map visually. In evaluating the proposed integration method, this study allocates abstracts of industrial research reports from an industrial technology research institute according to their corresponding author peers and generates individual cognitive knowledge maps. The results from the evaluation experiments reveal that ESOM is capable to retain individual peer’s knowledge structure while articulating with that of other peers in the cognitive knowledge network

GPER-induced signaling is essential for the survival of breast cancer stem cells.

G protein-coupled estrogen receptor-1 (GPER), a member of the G protein-coupled receptor (GPCR) superfamily, mediates estrogen-induced proliferation of normal and malignant breast epithelial cells. However, its role in breast cancer stem cells (BCSCs) remains unclear. Here we showed greater expression of GPER in BCSCs than non-BCSCs of three patient-derived xenografts of ER- /PR+ breast cancers. GPER silencing reduced stemness features of BCSCs as reflected by reduced mammosphere forming capacity in vitro, and tumor growth in vivo with decreased BCSC populations. Comparative phosphoproteomics revealed greater GPER-mediated PKA/BAD signaling in BCSCs. Activation of GPER by its ligands, including tamoxifen (TMX), induced phosphorylation of PKA and BAD-Ser118 to sustain BCSC characteristics. Transfection with a dominant-negative mutant BAD (Ser118Ala) led to reduced cell survival. Taken together, GPER and its downstream signaling play a key role in maintaining the stemness of BCSCs, suggesting that GPER is a potential therapeutic target for eradicating BCSCs

Economic development and intergenerational earnings mobility: Evidence from Taiwan

How economic development affects intergenerational earnings elasticity is not well-documented. In this paper, we estimate intergenerational earnings elasticities between fathers and sons in two periods. In the current period, 2005–2010, Taiwan is already a developed economy with slower economic growth. We apply the two-sample approach developed by Björklund and Jäntti (1997) and find that intergenerational earnings elasticity is around 0.4–0.5 in this period. In the earlier period, 1990–1994, Taiwan was still a developing economy with fast economic growth. We mimic the Björklund-Jäntti two-sample approach and use average earnings by occupation as a proxy for fathers’ earnings. To quantify potential bias, we apply the same method to the 2005–2010 data. Our proxy method yields similar estimates in both the early 1990s and late 2000s. These results suggest stable intergenerational transmission of economic status in Taiwan, despite its rapid economic development

FAM129B, an antioxidative protein, reduces chemosensitivity by competing with Nrf2 for Keap1 binding.

BackgroundThe transcription factor Nrf2 is a master regulator of antioxidant response. While Nrf2 activation may counter increasing oxidative stress in aging, its activation in cancer can promote cancer progression and metastasis, and confer resistance to chemotherapy and radiotherapy. Thus, Nrf2 has been considered as a key pharmacological target. Unfortunately, there are no specific Nrf2 inhibitors for therapeutic application. Moreover, high Nrf2 activity in many tumors without Keap1 or Nrf2 mutations suggests that alternative mechanisms of Nrf2 regulation exist.MethodsInteraction of FAM129B with Keap1 is demonstrated by immunofluorescence, colocalization, co-immunoprecipitation and mammalian two-hybrid assay. Antioxidative function of FAM129B is analyzed by measuring ROS levels with DCF/flow cytometry, Nrf2 activation using luciferase reporter assay and determination of downstream gene expression by qPCR and wester blotting. Impact of FAM129B on in vivo chemosensitivity is examined in mice bearing breast and colon cancer xenografts. The clinical relevance of FAM129B is assessed by qPCR in breast cancer samples and data mining of publicly available databases.FindingsWe have demonstrated that FAM129B in cancer promotes Nrf2 activity by reducing its ubiquitination through competition with Nrf2 for Keap1 binding via its DLG and ETGE motifs. In addition, FAM129B reduces chemosensitivity by augmenting Nrf2 antioxidative signaling and confers poor prognosis in breast and lung cancer.InterpretationThese findings demonstrate the important role of FAM129B in Nrf2 activation and antioxidative response, and identify FMA129B as a potential therapeutic target. FUND: The Chang Gung Medical Foundation (Taiwan) and the Ministry of Science and Technology (Taiwan)

THE EFFECT OF PASSIVE AND ACTIVE IMPULSE ON THE PERFORMANCES OF DROP JUMPS

This experiment is to investigate the ground reaction forces of lhree diHerent heights of drop-jumps (DJ) in order to understand the eHect of passive and active impulses on the performance of DJ. Eleven subjects were asked to perform DJs. AMIT force-platform and penny electrical gonia-meter were used to record the ground reaction forces and knee angular displacement. After treating the data and discussion, the conclusions were obtained. The active force as well as the active impulse are that of DJ20=DJ40=DJ60 whose result is consistent with the flight-height of these three diHerent DJ. On the other hand, the higher the jump-altitude is, the larger the passive impulse and passive force are. This result is very diHerent from that of flight-height, so the passive impulsive seems to have no help to prompt the performances of DJs. After further examination of the ground reaction force, we found that the key determinant process is the PARFD that slopes down as the jump-heights increase. The DJ60 induces the largest passive impulse but also accompanies negative PARFD. On other hand, the DJ20 induces the smallest passive impulse but accompanies positive PARFD. Finally, the performances of DJ20, DJ40 and DJ60 have no diHerence

Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks

The efficient segmentation of foreground text information from the background in degraded color document images is a hot research topic. Due to the imperfect preservation of ancient documents over a long period of time, various types of degradation, including staining, yellowing, and ink seepage, have seriously affected the results of image binarization. In this paper, a three-stage method is proposed for image enhancement and binarization of degraded color document images by using discrete wavelet transform (DWT) and generative adversarial network (GAN). In Stage-1, we use DWT and retain the LL subband images to achieve the image enhancement. In Stage-2, the original input image is split into four (Red, Green, Blue and Gray) single-channel images, each of which trains the independent adversarial networks. The trained adversarial network models are used to extract the color foreground information from the images. In Stage-3, in order to combine global and local features, the output image from Stage-2 and the original input image are used to train the independent adversarial networks for document binarization. The experimental results demonstrate that our proposed method outperforms many classical and state-of-the-art (SOTA) methods on the Document Image Binarization Contest (DIBCO) dataset. We release our implementation code at https://github.com/abcpp12383/ThreeStageBinarization