scispace - formally typeset
Search or ask a question
Institution

Thammasat University

EducationBangkok, Thailand
About: Thammasat University is a education organization based out in Bangkok, Thailand. It is known for research contribution in the topics: Population & Catalysis. The organization has 3953 authors who have published 7034 publications receiving 93617 citations. The organization is also known as: TU & Mahawitthayalai Thammasat.


Papers
More filters
Journal ArticleDOI
Daniel J. Klionsky1, Kotb Abdelmohsen2, Akihisa Abe3, Joynal Abedin4  +2519 moreInstitutions (695)
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagy-related protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.

5,187 citations

Journal ArticleDOI
TL;DR: The current understanding of how disturbance in redox homeostasis may affect cell death and contribute to the development of diseases such as cancer and degenerative disorders is reviewed and the basic knowledge on redox regulation of cell survival can be used to develop strategies for the treatment or prevention of those diseases.
Abstract: Reactive oxygen species (ROS) and reactive nitrogen species (RNS) play important roles in regulation of cell survival. In general, moderate levels of ROS/RNS may function as signals to promote cell proliferation and survival, whereas severe increase of ROS/RNS can induce cell death. Under physiologic conditions, the balance between generation and elimination of ROS/RNS maintains the proper function of redox-sensitive signaling proteins. Normally, the redox homeostasis ensures that the cells respond properly to endogenous and exogenous stimuli. However, when the redox homeostasis is disturbed, oxidative stress may lead to aberrant cell death and contribute to disease development. This review focuses on the roles of key transcription factors, signal-transduction pathways, and cell-death regulators in affecting cell survival, and how the redox systems regulate the functions of these molecules. The current understanding of how disturbance in redox homeostasis may affect cell death and contribute to the development of diseases such as cancer and degenerative disorders is reviewed. We also discuss how the basic knowledge on redox regulation of cell survival can be used to develop strategies for the treatment or prevention of those diseases. Antioxid. Redox Signal. 10, 1343–1374.

1,536 citations

Journal ArticleDOI
Deanne N. Den Hartog1, Robert J. House2, Paul J. Hanges3, S. Antonio Ruiz-Quintanilla4, Peter W. Dorfman5, Ikhlas A. Abdalla6, Babajide Samuel Adetoun, Ram N. Aditya7, Hafid Agourram8, Adebowale Akande, Bolanle Elizabeth Akande, Staffan Åkerblom9, Carlos Altschul10, Eden Alvarez-Backus, Julian Andrews11, Maria Eugenia Arias, Mirian Sofyan Arif12, Neal M. Ashkanasy13, Arben Asllani14, Guiseppe Audia15, Gyula Bakacsi, Helena Bendova, David Beveridge16, Rabi S. Bhagat17, Alejandro Blacutt, Jiming Bao18, Domenico Bodega, Muzaffer Bodur19, Simon Booth20, Annie E. Booysen21, Dimitrios Bourantas22, Klas Brenk, Felix C. Brodbeck23, Dale Everton Carl24, Philippe Castel25, Chieh Chen Chang26, Sandy Chau, Frenda K.K. Cheung27, Jagdeep S. Chhokar28, Jimmy Chiu29, Peter Cosgriff30, Ali Dastmalchian31, Jose Augusto Dela Coleta, Marilia Ferreira Dela Coleta, Marc Deneire, Markus Dickson32, Gemma Donnelly-Cox33, Christopher P. Earley34, Mahmoud A. Elgamal35, Miriam Erez36, Sarah Falkus13, Mark Fearing30, Richard H. G. Field11, Carol Fimmen16, Michael Frese37, Ping Ping Fu38, Barbara Gorsler39, Mikhail V. Gratchev, Vipin Gupta40, Celia Gutiérrez41, Frans Marti Hartanto, Markus Hauser, Ingalill Holmberg9, Marina Holzer, Michael Hoppe, Jon P. Howell5, Elena Ibrieva42, John Ickis43, Zakaria Ismail44, Slawomir Jarmuz45, Mansour Javidan24, Jorge Correia Jesuino, Li Ji46, Kuen Yung Jone, Geoffrey Jones20, Revaz Jorbenadse47, Hayat Kabasakal19, Mary A. Keating33, Andrea Keller39, Jeffrey C. Kennedy30, Jay S. Kim48, Giorgi Kipiani, Matthias Kipping20, Edvard Konrad, Paul L. Koopman1, Fuh Yeong Kuan, Alexandre Kurc, Marie-Françoise Lacassagne25, Sang M. Lee42, Christopher Leeds, Francisco Leguizamón43, Martin Lindell, Jean Lobell, Fred Luthans42, Jerzy Maczynski49, Norma Binti Mansor, Gillian Martin33, Michael Martin42, Sandra Martinez5, Aly Messallam50, Cecilia McMillen51, Emiko Misumi, Jyuji Misumi, Moudi Al-Homoud35, Phyllisis M. Ngin52, Jeremiah O’Connell53, Enrique Ogliastri54, Nancy Papalexandris22, T. K. Peng55, Maria Marta Preziosa, José Prieto41, Boris Rakitsky, Gerhard Reber56, Nikolai Rogovsky57, Joydeep Roy-Bhattacharya, Amir Rozen36, Argio Sabadin, Majhoub Sahaba, Colombia Salon De Bustamante54, Carmen Santana-Melgoza58, Daniel A. Sauers30, Jette Schramm-Nielsen59, Majken Schultz59, Zuqi Shi18, Camilla Sigfrids, Kye Chung Song60, Erna Szabo56, Albert C. Y. Teo61, Henk Thierry62, Jann Hidayat Tjakranegara, Sylvana Trimi42, Anne S. Tsui63, Pavakanum Ubolwanna64, Marius W. Van Wyk21, Marie Vondrysova65, Jürgen Weibler66, Celeste P.M. Wilderom62, Rongxian Wu67, Rolf Wunderer68, Nik Rahiman Nik Yakob44, Yongkang Yang18, Zuoqiu Yin18, Michio Yoshida69, Jian Zhou18 
VU University Amsterdam1, University of Pennsylvania2, University of Maryland, Baltimore3, Cornell University4, New Mexico State University5, Qatar Airways6, Louisiana Tech University7, Université du Québec8, Stockholm School of Economics9, University of Buenos Aires10, University of Alberta11, University of Indonesia12, University of Queensland13, Bellevue University14, London Business School15, Western Illinois University16, University of Memphis17, Fudan University18, Boğaziçi University19, University of Reading20, University of South Africa21, Athens University of Economics and Business22, Ludwig Maximilian University of Munich23, University of Calgary24, University of Burgundy25, National Sun Yat-sen University26, Hong Kong Polytechnic University27, Indian Institute of Management Ahmedabad28, City University of Hong Kong29, Lincoln University (New Zealand)30, University of Lethbridge31, Wayne State University32, University College Dublin33, Indiana University34, Kuwait University35, Technion – Israel Institute of Technology36, University of Giessen37, The Chinese University of Hong Kong38, University of Zurich39, Fordham University40, Complutense University of Madrid41, University of Nebraska–Lincoln42, INCAE Business School43, National University of Malaysia44, Opole University45, Hong Kong Baptist University46, Tbilisi State University47, Ohio State University48, University of Wrocław49, Alexandria University50, University of San Francisco51, Melbourne Business School52, Bentley University53, University of Los Andes54, I-Shou University55, Johannes Kepler University of Linz56, International Labour Organization57, Smith College58, Copenhagen Business School59, Chungnam National University60, National University of Singapore61, Tilburg University62, Hong Kong University of Science and Technology63, Thammasat University64, Sewanee: The University of the South65, FernUniversität Hagen66, Soochow University (Suzhou)67, University of St. Gallen68, Kumamoto University69
TL;DR: In this paper, the authors focus on culturally endorsed implicit theories of leadership (CLTs) and show that attributes associated with charismatic/transformational leadership will be universally endorsed as contributing to outstanding leadership.
Abstract: This study focuses on culturally endorsed implicit theories of leadership (CLTs). Although cross-cultural research emphasizes that different cultural groups likely have different conceptions of what leadership should entail, a controversial position is argued here: namely that attributes associated with charismatic/transformational leadership will be universally endorsed as contributing to outstanding leadership. This hypothesis was tested in 62 cultures as part of the Global Leadership and Organizational Behavior Effectiveness (GLOBE) Research Program. Universally endorsed leader attributes, as well as attributes that are universally seen as impediments to outstanding leadership and culturally contingent attributes are presented here. The results support the hypothesis that specific aspects of charismatic/transformational leadership are strongly and universally endorsed across cultures.

1,227 citations

Journal ArticleDOI
TL;DR: Zucker et al. as discussed by the authors examined the effects of one scientific breakthrough on a relatively small number of industries which experience a technological transformation as a result and found empirically that what might appear using standard methodology and data sets as geographically localized external economies for enterprises located near university stars turn out to exist only for that much smaller set of enterprises which are linked to particular star professors by contract or ownership - that is, by market exchange.
Abstract: I. INTRODUCTION Knowledge spillovers - positive externalities of scientific discoveries on the productivity of firms which neither made the discovery themselves nor licensed its use from the holder of intellectual property rights - play a central role in the literature as causes of both economic growth and geographic agglomeration.(1) Zvi Griliches [1992] has surveyed the importance of R&D spillovers as a major source of endogenous growth in recent "New Growth Theory" models and the difficult empirical search for their existence. While the search for spillovers has been difficult, there has been considerable success in finding their fingerprints by demonstrating statistically significant effects on a firm's productivity of being near great universities and other sources of scientific discovery - geographically localized knowledge spillovers. (See particularly, Adam B. Jaffe [1989], Jaffe, Manuel Trajtenberg, and Rebecca Henderson [1993], and Edwin Mansfield [1995].)(2) Providing further evidence of the empirical relevance of geographically localized knowledge spillovers in the case of biotechnology, Lynne G. Zucker, Michael R. Darby, and Marilynn B. Brewer [1997] have recently demonstrated that "intellectual human capital," measured operationally by where and when "star" scientists at the leading edge of basic bioscience are active, is a principal determinant of both the location and timing of the entry of new biotechnology enterprises in the United States.(3) Operationalizing Sherwin Rosen's [1981] superstar concept, Zucker, Derby, and Brewer [1997] relate geographically localized knowledge spillovers in the formative years of the biotech industry to a relatively small number of outstanding scientists (207 of whom ever worked in the U.S.) who combined brilliant scientific productivity with specific knowledge of the new techniques which formed the basis of industrial formation and transformation (see Data Appendix). In this paper, we further explore the technology by which apparent geographically localized knowledge spillovers operate. Case studies and interviews point to the fact that the star scientists are not simply located in the same geographic area with biotech firms, but in fact are frequently deeply involved in their operations as principals, employees, or consultants. We find empirically that what might appear using standard methodology and data sets as geographically localized external economies for enterprises located near university stars turn out to exist only for that much smaller set of enterprises which are linked to particular star professors by contract or ownership - that is, by market exchange, This same subset of firms with explicit ties to star scientists also appear to account for a disproportionately larger share of industry growth, measured here as number of products in development, number of products on the market, and employment growth between 1989 and 1994. Indeed, it seems to us that the source of geographically localized effects on firm performance is the same as the reason that much of the fruits of the biotechnological revolution was much more appropriable by the star scientists than by the universities which (typically) employed them.(4) These star scientists generally retain their university affiliations while involved in commercial applications within easy commuting distance of home or university, thus creating localized effects of university research. Here we examine the effects of one scientific breakthrough on a relatively small number of industries which experience a technological transformation as a result. If, as we will argue in section V may well be the case, other instances of geographically localized knowledge spillovers are in fact also instances of appropriation and market exchange by discoveting scientists, then both interpretation of prior studies and their strong policy implications need to be reexamined. Before drawing these conclusions, we must turn to the concrete analysis which suggested them. …

913 citations

Posted Content
TL;DR: This work considers two possible notions of authenticity for authenticated encryption schemes, namely integrity of plaintexts and integrity of ciphertexts, and relates them to the standard notions of privacy IND-CCA and NM-CPA by presenting implications and separations between all notions considered.
Abstract: An authenticated encryption scheme is a symmetric encryption scheme whose goal is to provide both privacy and integrity. We consider two possible notions of authenticity for such schemes, namely integrity of plaintexts and integrity of ciphertexts, and relate them (when coupled with IND-CPA) to the standard notions of privacy (IND-CCA,NM-CPA) by presenting implications and separations between all notions considered. We then analyze the security of authenticated encryption schemes designed by “generic composition,” meaning making blackbox use of a given symmetric encryption scheme and a given MAC. Three composition methods are considered, namely Encrypt-and-MAC, MAC-then-encrypt, and Encrypt-then-MAC. For each of these, and for each notion of security, we indicate whether or not the resulting scheme meets the notion in question assuming the given symmetric encryption scheme is secure against chosen-plaintext attack and the given MAC is unforgeable under chosen-message attack. We provide proofs for the cases where the answer is “yes” and counter-examples for the cases where the answer is “no.”

774 citations


Authors

Showing all 3993 results

Network Information
Related Institutions (5)
Mahidol University
39.7K papers, 878.7K citations

93% related

University of Malaya
51.4K papers, 1M citations

84% related

University of Hong Kong
99.1K papers, 3.2M citations

84% related

National University of Singapore
165.4K papers, 5.4M citations

83% related

University of Modena and Reggio Emilia
22.4K papers, 671.3K citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
202276
2021721
2020625
2019517
2018526