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Pingtung, Taiwan

Tajen University is a technical institute in Yanpu, Pingtung County, Taiwan. Wikipedia.

Chakraborty C.,Galgotias University | Doss C.G.P.,Vellore Institute of Technology | Bandyopadhyay S.,Indian Statistical Institute | Agoramoorthy G.,Tajen University
Wiley Interdisciplinary Reviews: RNA

The prevalence of type-2 diabetes (T2D) is increasing significantly throughout the globe since the last decade. This heterogeneous and multifactorial disease, also known as insulin resistance, is caused by the disruption of the insulin signaling pathway. In this review, we discuss the existence of various miRNAs involved in regulating the main protein cascades in the insulin signaling pathway that affect insulin resistance. The influence of miRNAs (miR-7, miR-124a, miR-9, miR-96, miR-15a/b, miR-34a, miR-195, miR-376, miR-103, miR-107, and miR-146) in insulin secretion and beta (β) cell development has been well discussed. Here, we highlight the role of miRNAs in different significant protein cascades within the insulin signaling pathway such as miR-320, miR-383, miR-181b with IGF-1, and its receptor (IGF1R); miR-128a, miR-96, miR-126 with insulin receptor substrate (IRS) proteins; miR-29, miR-384-5p, miR-1 with phosphatidylinositol 3-kinase (PI3K); miR-143, miR-145, miR-29, miR-383, miR-33a/b miR-21 with AKT/protein kinase B (PKB) and miR-133a/b, miR-223, miR-143 with glucose transporter 4 (GLUT4). Insulin resistance, obesity, and hyperlipidemia (high lipid levels in the blood) have a strong connection with T2D and several miRNAs influence these clinical outcomes such as miR-143, miR-103, and miR-107, miR-29a, and miR-27b. We also corroborate from previous evidence how these interactions are related to insulin resistance and T2D. The insights highlighted in this review will provide a better understanding on the impact of miRNA in the insulin signaling pathway and insulin resistance-associated diagnostics and therapeutics for T2D. © 2014 John Wiley & Sons, Ltd. Source

Doss C G.P.,Vellore Institute of Technology | Agoramoorthy G.,Tajen University | Chakraborty C.,Galgotias University
Frontiers in Bioscience - Landmark

Tumor necrosis factor, a regulatory cytokine, is extremely important signaling protein in the immune system. Among TNF family, TNF-α, TNF-beta; are most the significant family members. Receptor of TNF namely TNFR1 and TNFR2 stimulates two different signaling pathways. TNFR1 signaling induces apoptosis pathway. Conversely, TNFR2 signaling triggers cell survival pathways. In this paper, we discuss about the TNF family with special reference to TNF-α/ TNF-beta;, different hypothesis related to autoimmunity and role of TNF, structure of TNF-α/ TNF-beta;, distribution and normal activity in human body of TNF, receptors and signaling pathway for drug targeting. Finally, we also discuss about the therapy for autoimmune diseases and immune-mediated inflammatory diseases (IMIDs) using small molecules or therapeutic proteins. Source

Huang H.-H.,National Cheng Kung University | Huang H.-H.,Tajen University | Kuo Y.-H.,National Cheng Kung University
IEEE Transactions on Fuzzy Systems

As cross-lingual information retrieval is attracting increasing attention, tools that measure cross-lingual semantic similarity between documents are becoming desirable. In this paper, two aspects of cross-lingual semantic document similarity measures are investigated: One is document representation, and the other is the formulation of similarity measures. Fuzzy set and rough set theories are applied to capture the inherently fuzzy relationships among concepts expressed by natural languages. Our approach first develops a language-independent sense-level document representation based on the fuzzy set model to reduce the barrier between different languages and further explores the fuzzyrough hybrid approach to obtain a more robust macrosense-level document representation through the partitioning of the integrated sense association network of the document collection into macrosenses. Then, Tverskys notion of similarity and the F1 measure on information retrieval are adopted to formulate, respectively, two document similarity measures with fuzzy set operations on the two proposed document representations. The effectiveness of our approach is demonstrated by its success rate in identifying the English translations to their corresponding Chinese documents in a collection of ChineseEnglish parallel documents. Moreover, the proposed approach can be easily extended to process documents in other languages. It is believed that the proposed representations, along with the similarity measures, will enable more effective text mining processes. © 2006 IEEE. Source

Chakraborty C.,Iilm Academy Of Higher Learning Greater Noida | Agoramoorthy G.,Tajen University
Biotechnology Advances

India's biotechnology industry has been growing towards new heights in conjunction with the recent economic outburst. The country has the potential to revolutionize biopharmaceutical and healthcare sectors. In this review, we have highlighted the achievements of India's biotechnology industry, especially biopharmaceutical and healthcare sectors that include therapeutics, diagnostics, stem cell research, human healthcare related bioinformatics and animal health care. We have also described regulatory mechanisms involved in India's health care biotech including manpower development. © 2009 Elsevier Inc. All rights reserved. Source

Chang H.-H.,Tajen University | Chou H.-W.,National Central University
Behaviour and Information Technology

The use of enterprise resource planning (ERP) systems has grown enormously since 1990, but the failure to completely learn how to use them continues to produce disappointing results. Today's rapidly changing business environment and the integrative applications of ERP systems force users to continuously learn new skills after ERP implementation. This study explores the effects of post-implementation learning on ERP usage and ERP impact and identifies the factors that can impact post-implementation learning, such as social capital and post-training self-efficacy. This study employs a survey method to examine the perceptions of ERP users. The theoretical model is tested by using structural equation modelling on a dataset of 812 users. This study finds that post-implementation learning has a significant positive effect on ERP usage and ERP impact, and that social capital and post-training self-efficacy are important antecedent factors of post-implementation learning. Post-training self-efficacy also significantly affects ERP usage and ERP impact. The implications for research, practice and future research directions are discussed. Source

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