This comprehensive book collects contributions from leading international scholars to highlight the diverse qualitative approaches available to organizational researchers, each grounded in its own philosophy. The editors provide a cutting edge, globally oriented resource on the state of qualitative research methodologies, helping readers to grasp the theories, practices, and future of the field. Beginning with an overview of qualitative methodologies, the book examines ways in which research employing these techniques is conducted in a variety of disciplines, including entrepreneurship, innovation, strategy, information systems, and organizational behavior. It offers timely updates on how traditions like case studies, ethnographies, historical methods, narrative approaches, and critical research are practiced today and how emerging trends, including increasing legitimacy and feminization, are impacting the domain. The final chapters provide templates for engaging with the future as well as essays that critically assess how qualitative inquiry has evolved within organization studies. Readers will become acquainted with contemporary tools for conducting qualitative studies, learning to appreciate the emerging domains of qualitative inquiry within a dynamic and complex organizational world. Doctoral students and early-career researchers in organizational studies, especially those engaged with general management, organizational behavior, human resource management, innovation, entrepreneurship, and strategy, will benefit from reading this relevant and inclusive handbook.

This comprehensive book collects contributions from leading international scholars to highlight the diverse qualitative approaches available to organizational researchers, each grounded in its own philosophy. The editors provide a cutting edge, globally oriented resource on the state of qualitative research methodologies, helping readers to grasp the theories, practices, and future of the field. Beginning with an overview of qualitative methodologies, the book examines ways in which research employing these techniques is conducted in a variety of disciplines, including entrepreneurship, innovation, strategy, information systems, and organizational behavior. It offers timely updates on how traditions like case studies, ethnographies, historical methods, narrative approaches, and critical research are practiced today and how emerging trends, including increasing legitimacy and feminization, are impacting the domain. The final chapters provide templates for engaging with the future as well as essays that critically assess how qualitative inquiry has evolved within organization studies. Readers will become acquainted with contemporary tools for conducting qualitative studies, learning to appreciate the emerging domains of qualitative inquiry within a dynamic and complex organizational world. Doctoral students and early-career researchers in organizational studies, especially those engaged with general management, organizational behavior, human resource management, innovation, entrepreneurship, and strategy, will benefit from reading this relevant and inclusive handbook.

This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning.

This volume contains the papers presented at the 16th Annual International Conference on Algorithmic Learning Theory (ALT 2005), which was held in S- gapore (Republic of Singapore), October 8-11, 2005. The main objective of the conference is to provide an interdisciplinary forum for the discussion of the t- oretical foundations of machine learning as well as their relevance to practical applications. The conference was co-located with the 8th International Conf- enceonDiscoveryScience(DS2005). Theconferencewasalsoheldinconjunction with the centennial celebrations of the National University of Singapore. The volume includes 30 technical contributions, which were selected by the program committee from 98 submissions. It also contains the ALT 2005 invited talks presented by Chih-Jen Lin (National Taiwan University, Taipei, Taiwan) on "Training Support Vector Machines via SMO-type Decomposition Methods," and by Vasant Honavar (Iowa State University, Ames, Iowa, USA) on "Al- rithmsandSoftwareforCollaborativeDiscoveryfromAutonomous, Semantically Heterogeneous, Distributed, Information Sources. " Furthermore, this volume - cludes an abstract of the joint invited talk with DS 2005 presented by Gary L. Bradshaw (Mississippi State University, Starkville, USA) on "Invention and Arti?cial Intelligence," and abstracts of the invited talks for DS 2005 presented by Ross D. King (The University of Wales, Aberystwyth, UK) on "The Robot Scientist Project," and by Neil Smalheiser (University of Illinois at Chicago, Chicago, USA) on "The Arrowsmith Project: 2005 Status Report. " The c- plete versions of these papers are published in the DS 2005 proceedings (Lecture Notes in Computer Science Vol. 3735).

This volume contains all the papers presented at the Eleventh International C- ference on Algorithmic Learning Theory (ALT 2000) held at Coogee Holiday Inn, Sydney, Australia,11-13 December 2000. The conference was sponsored by the School of Computer Science and Engineering, University of New South Wales, and supported by the IFIP Working Group 1.4 on Computational Learning T- ory and the Computer Science Association (CSA) of Australia. In response to the call for papers 39 submissions were received on all aspects of algorithmic learning theory. Out of these 22 papers were accepted for p- sentation by the program committee. In addition, there were three invited talks by William Cohen (Whizbang Labs), Tom Dietterich (Oregon State Univeristy), and Osamu Watanabe (Tokyo Institute of Technology). This year's conference is the last in the millenium and eleventh overall in the ALT series. The ?rst ALT workshop was held in Tokyo in 1990. It was merged with the workshop on Analogical and Inductive Inference in 1994. The conf- ence focuses on all areas related to algorithmic learning theory, including (but not limited to) the design and analysis of learning algorithms, the theory of machine learning, computational logic of/for machine discovery, inductive inf- ence, learning via queries, new learning models, scienti?c discovery, learning by analogy, arti?cial and biological neural networks, pattern recognition, statistical learning, Bayesian/MDL estimation, inductive logic programming, data m- ing and knowledge discovery, and application of learning to biological sequence analysis. In the current conference there were papers from a variety of the above areas, refelecting both the theoretical as well as practical aspec

This book constitutes the refereed proceedings of the 8th International Symposium on Algorithms and Computation, ISAAC'97, held in Singapore in December 1997. The 42 revised full papers presented were selected from a total of 98 submissions. The scope of the volume spans the whole area of algorithms from discrete mathematics and complexity theory to algorithms design and evaluation in a variety of applicational areas. Among the topics addressed are scheduling and logistics, networking and routing, combinatorial optimization, graph-computations, algorithmic learning, computational geometry, etc.

This volume results from two programs that took place at the Institute for Mathematical Sciences at the National University of Singapore: Aspects of Computation — in Celebration of the Research Work of Professor Rod Downey (21 August to 15 September 2017) and Automata Theory and Applications: Games, Learning and Structures (20-24 September 2021).The first program was dedicated to the research work of Rodney G. Downey, in celebration of his 60th birthday. The second program covered automata theory whereby researchers investigate the other end of computation, namely the computation with finite automata, and the intermediate level of languages in the Chomsky hierarchy (like context-free and context-sensitive languages).This volume contains 17 contributions reflecting the current state-of-art in the fields of the two programs.

This book constitutes the refereed proceedings of the 12th Annual Conference on Theory and Applications of Models of Computation, TAMC 2014, held in Singapore, in May 2015. The 35 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers treat all topics relating to the theory and applications of models computation, for example recursion theory and mathematical logic; computational complexity and Boolean functions; graphy theory; quantum computing; parallelism and statistics; learning, automata and probabilistic models; parameterised complexity.

Healthcare System models and simulations may be used to support analysis, planning, and training needs for the healthcare institutions, epidemics, and other healthcare-related emergencies. Simulation models may be used to understand healthcare systems, interdependencies with other systems, their vulnerabilities, and the impact of emergency incidents on the population and healthcare community. These models and simulations will also be used to support training exercises, performance measurement, conceptual design, impact evaluation, response planning, analysis, acquisition, conceptualizing and evaluating new systems, vulnerability analysis, economic impact, and determining interdependencies between healthcare and other infrastructure systems. The goal of this document is to capture the current knowledge and information resources that can serve as a common baseline for researchers and developers of models and simulations of healthcare systems for homeland security applications.

The aim of the present research work was to investigate the potential of emulgel in enhancing the topical delivery of ketoconazole. Emulsion in gel have emerged as one of the most interesting topical drug delivery system as it has dual release control system i.e. emulsion and gel. Also the stability of emulsion is increased when it is incorporated in gel. Emulgel formulations of Ketoconazole were prepared using 2 types of gelling agents: Carbopol 934 and Carbopol 940. The influence of the type of the gelling agent and the concentration of both the oil phase and emulsifying agent on the drug release from the prepared emulgel was investigated using a 23 factorial design. The prepared emulgel were evaluated for their physical appearance, viscosity, drug release, globule size, skin irritation test, antifungal activity, transmission electron microscopy, Ex vivo Syudy, In Vivo Study and stability. Commercially available ketoconazole cream was used for comparison. All the prepared emulgel showed acceptable physical properties concerning color, homogeneity, consistency, spreadability, and pH value. The antifungal activity and drug release were found to be higher for optimized formulation .