A Research Growth Study in Big Data field

Responding to the diffusion and growth of big data research, this study adopted the bibliometric approach to describe the growth of the literatures, the distribution of journals, publication countries and subject area. This study collected the relative literature by querying the Social Science Citation Index (SSCI) of ISI Web of knowledge database, where we could collect the big data literatures in academic papers, systematically. Data from citation indexes can be analyzed to determine the popularity and impact of specific articles, authors, and publications. The results provided the distribution of core journals, and described the trends and feature of big data research for researchers interested in this field

A Study on the Productivity Review forManagement of Performance Using Bibliometric Methodology

This study aimed at investigating the author productivity of performance management related to literature in SSCI database within the year of 1976 to 2011 in order to explore the development of this management . The samples from SSCI database include 922 articles for carry out analysis. Furthermore, this study performed the calculation and verification with the author productivity distribution by Lotka’s Law, Price\u27s Square Root Law and 80/20 law separately. We believe our research findings will be referred to industries, government and academia for reference. The results of this study are summarized as follows: 1. The literature of productivity in performance management has begun to show negative growth from 1976 to 2011; 2. Performance management related researches and publications are dominated by United States and United Kingdom; 3. English is the language prevailing in the literature of performance management ; 4. The major type of disciplines in performance management domain is business economy; 5. The value of n parameter and c parameter were -3.7232, 0.8963 respectively in Lotka’s Law. Plus, this study also proved that Lotka\u27s law applies to the explaination of the developing trend of literature in performance management by Kolmogorov - Smirnov Test; 6. Further, our research has found thatAuthor productivity could not be explained by Price\u27s Square Root Law or 80/20 Law

The Literature Review of Technology Acceptance Model: A Study of the Bibliometric Distributions

Technology acceptance model plays a signified issue in the information systems field since this theory was introduced by Davis in 1989. This paper investigates the features of technology acceptance model literature based on bibliometric method. By searching the ISI Web of knowledge database under the keyword of “technology acceptance model,” 689 articles were retrieved and analyzed though growth of the literatures and citation, document type, publication countries, subject area, keyword analysis are addressed. The distribution of journal paper was also examined using Bradford’s law and Lotka’s law. As the result, this research found that technology acceptance model literature has a steady growth as well as the citations. Relevant articles were concentrating on computer science, information systems, management, information science, and library science. The author productivity distribution data in technology acceptance literature was consistent with Lotka’s law. Furthermore, eight core journals were identified utilizing the Bradford’s law

E-Learning Instruction Generation Approach in terms of Experience Economy

With the trend of service innovation and experience economy, innovative services with mass customization is the right way to shift into the Experience Economy. Nowadays, E-Learning services development is limited and digital learning material inadequate is one of the most important issues in this area. By taking rapid instruction prototyping into consideration and implementing the modular architecture that offer mass customization services and rapid, then the E-Learning in terms of Experience Economy will realize rapidly. This study proposes an innovative service concept with efficiently offering reusable learning assets for accelerating learning material development. The innovative approach of E-Learning instruction generation services is illustrated and the conceptual model of proposed service framework is outlined. The major findings of this study are: E-Learning instruction generation model for effectively utilizing course contents in Web 2.0 website; conceptual model for dynamic componentization of learning assets. Finally, discussion direction for further research is proposed

Ovatodiolide Inhibits Breast Cancer Stem/Progenitor Cells through SMURF2-Mediated Downregulation of Hsp27

Cancer stem/progenitor cells (CSCs) are a subpopulation of cancer cells involved in tumor initiation, resistance to therapy and metastasis. Targeting CSCs has been considered as the key for successful cancer therapy. Ovatodiolide (Ova) is a macrocyclic diterpenoid compound isolated from Anisomeles indica (L.) Kuntze with anti-cancer activity. Here we used two human breast cancer cell lines (AS-B145 and BT-474) to examine the effect of Ova on breast CSCs. We first discovered that Ova displayed an anti-proliferation activity in these two breast cancer cells. Ova also inhibited the self-renewal capability of breast CSCs (BCSCs) which was determined by mammosphere assay. Ova dose-dependently downregulated the expression of stemness genes, octamer-binding transcription factor 4 (Oct4) and Nanog, as well as heat shock protein 27 (Hsp27), but upregulated SMAD ubiquitin regulatory factor 2 (SMURF2) in mammosphere cells derived from AS-B145 or BT-474. Overexpression of Hsp27 or knockdown of SMURF2 in AS-B145 cells diminished the therapeutic effect of ovatodiolide in the suppression of mammosphere formation. In summary, our data reveal that Ova displays an anti-CSC activity through SMURF2-mediated downregulation of Hsp27. Ova could be further developed as an anti-CSC agent in the treatment of breast cancer

Feasibility of corifollitropin alfa/GnRH antagonist protocol combined with GnRH agonist triggering and freeze-all strategy in polycystic ovary syndrome patients

Background/Purpose: The long-acting corifollitropin alfa is comparable to FSH in terms of pregnancy outcomes in normal responders and poor responders. Corifollitropin alfa has never been studied in polycystic ovary syndrome (PCOS) patients because of concerns of excessive ovarian stimulation and ovarian hyperstimulation syndrome (OHSS). The purpose of the study was to evaluate if corifollitropin alfa can be used in PCOS patients. Methods: Forty PCOS patients who were going to undergo in vitro fertilization were enrolled in this study. A single injection of corifollitropin alfa was administered on cycle day 2 or day 3. From stimulation day 8 onwards, daily FSH was administered until the day of final oocyte maturation. Cetrorelix was administered from stimulation day 5 to prevent premature LH surge. Final oocyte maturation was triggered by: acetate. All embryos were cryopreserved and replaced in subsequent cycles. Results: All 40 patients were subjected to oocyte retrieval, and none developed moderate or severe ovarian hyperstimulation syndrome (0%, 95% CI 0–0.088). For each patient, an average of 23.4 (±7.4; 95% CI 21.0–25.7) oocytes were retrieved and a mean of 11.7 (±6.4; 95% CI 9.6–13.8) embryos were frozen. Mean serum estradiol level on the day of GnRHa triggering was 7829.9 pg/ml (±3297; 95% CI 6775–8885). The cumulated ongoing pregnancy rate after 3 frozen-thawed embryo transfers was 75.0% (95% CI 61.6%–88.4%). Conclusion: The results suggest that corifollitropin alfa/GnRH antagonist protocol can be used in PCOS patients, in combination with GnRHa triggering and embryo cryopreservation. Keywords: Corifollitropin alfa, Cryopreservation, GnRH agonist, Polycystic ovary syndrom