Discussion on study of knowledge creation, innovation ability and organizational performance for high-tech industries in Taiwan

Taiwan's high-tech industry face intense global competitive environment, strengthening the capacity of its own through the creation of high-quality organizational performance has been the key focus of many studies. This study investigated the creation of knowledge and organizational performance. Information and communication, and electronic products within the high-tech knowledge-intensive industries were selected for this study. The overall effect is concerned, is not knowledge creation, innovation and organizational performance individually influence means that high-tech industries, organizations. Whether knowledge creation, innovation and organizational performance influence means that high-tech industries, organizations to enhance business performance created by knowledge began its maximum effectiveness

The study of relationships between the collaboration for supply chain, supply chain capabilities and firm performance: A case of the Taiwan׳s TFT-LCD industry

[[abstract]]Academic and business fields have frequently examined the significance and influence of collaborative development interactions and feedback mechanisms for supply chain value innovation. Value co-creation and value constellations, which serve as innovation drivers in channel integration, are positively associated with supply chain performance. We investigated the relationships among collaborative supply chain value innovation (CSCVI), supply chain capabilities (SCCs), and firm performance by examining a case of the thin-film transistor liquid crystal display (TFT-LCD) industry in Taiwan.[[notice]]補正完畢[[incitationindex]]SSCI[[booktype]]紙

Attentive Neural Architecture Incorporating Song Features For Music Recommendation

Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high commercial value. The systems which aim at increasing the average time a user spends on the platform often need to recommend songs which the user might want to listen to next at each point in time. This is different from recommendation systems which try to predict the item which might be of interest to the user at some point in the user lifetime but not necessarily in the very near future. Prediction of the next song the user might like requires some kind of modeling of the user interests at the given point of time. Attentive neural networks have been exploiting the sequence in which the items were selected by the user to model the implicit short-term interests of the user for the task of next item prediction, however we feel that the features of the songs occurring in the sequence could also convey some important information about the short-term user interest which only the items cannot. In this direction, we propose a novel attentive neural architecture which in addition to the sequence of items selected by the user, uses the features of these items to better learn the user short-term preferences and recommend the next song to the user.Comment: Accepted as a paper at the 12th ACM Conference on Recommender Systems (RecSys 18

Vocal cord dysfunction diagnosed by four-dimensional dynamic volume computed tomography in patients with difficult-to-treat asthma: A case series

Patients with asthma may also have vocal cord dysfunction (VCD), which leads to poor control of the asthma. Once patients are diagnosed with difficult-to-treat asthma with poor control, VCD should be excluded or treated accordingly. The gold standard for diagnosis of VCD is to perform a laryngoscopy. However, this procedure is invasive and may not be suitable for patients with difficult-to-treat asthma. Four-dimensional (4D) dynamic volume computed tomography (CT) is a noninvasive method for quantification of laryngeal movement, and can serve as an alternative for the diagnosis of VCD. Herein, we present a series of five cases with difficult-to-treat asthma patients who were diagnosed with VCD by 4D dynamic volume CT. Clinicians should be alert to the possibility of VCD when poor control is noted in patients with asthma. Early diagnosis by noninvasive 4D dynamic volume CT can decrease excessive doses of inhaled corticosteroids

Impaired dendritic cell maturation and IL-10 production following H. pylori stimulation in gastric cancer patients

The current study was to investigate the interaction between Helicobacter pylori and human dendritic cells (DCs). Whether impaired DC function can influence the outcome of H. pylori infections. Human monocyte-derived DCs (MDDCs) from five gastric cancer patients and nine healthy controls were stimulated with H. pylori. Maturation markers of MDDC were examined by flow cytometry. IL-10 and TNF-α released by MDDCs and IL-17 produced by T cells were measured by ELISA. Regulatory signaling pathways of IL-10 were examined by ELISA, western blotting, and chromatin immunoprecipitation assay. The results showed that as compared with healthy individuals, the maturation marker CD40 in MDDCs, IL-17A expression from T cells, and IL-10 expression from MDDCs were significantly lower in gastric cancer patients. Blocking DC-SIGN, TLR2, and TLR4 could reverse H. pylori-associated IL-10 production. Activation of the p38 MAPK and NF-kB signaling pathways concomitant with decreased tri-methylated H3K9 and increased acetylated H3 accounted for the effect of H. pylori on IL-10 expression. Furthermore, upregulated IL-10 expression was significantly suppressed in H. pylori-pulsed MDDCs by histone acetyltransferase and methyltransferase inhibitors. Taken together, impaired DC function contributes to the less effective innate and adaptive immune responses against H. pylori seen in gastric cancer patients. H. pylori can regulate IL-10 production through Toll-like and DC-SIGN receptors, activates p-p38 MAPK signaling and the transcription factors NF-kB, and modulates histone modification