University of North Texas

About: University of North Texas is a education organization based out in Denton, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 11866 authors who have published 26984 publications receiving 705376 citations. The organization is also known as: Fight, North Texas & UNT.

Scaling detection in time series: Diffusion entropy analysis

Abstract: The methods currently used to determine the scaling exponent of a complex dynamic process described by a time series are based on the numerical evaluation of variance This means that all of them can be safely applied only to the case where ordinary statistical properties hold true even if strange kinetics are involved We illustrate a method of statistical analysis based on the Shannon entropy of the diffusion process generated by the time series, called diffusion entropy analysis (DEA) We adopt artificial Gauss and Levy time series, as prototypes of ordinary and anomalous statistics, respectively, and we analyze them with the DEA and four ordinary methods of analysis, some of which are very popular We show that the DEA determines the correct scaling exponent even when the statistical properties, as well as the dynamic properties, are anomalous The other four methods produce correct results in the Gauss case but fail to detect the correct scaling in the case of Levy statistics

The future of leadership development

Abstract: Contents: JN Cleveland, EA Fleishman, Series Foreword SE Murphy, RE Riggio, Introduction to The Future of Leadership Development Part I:Setting the Stage DV Day, PMG O'Connor, Leadership Development: Understanding the Process EA Locke, Foundations for a Theory of Leadership Part II:Leadership Development Challenges BJ Avolio, S Kahai, Placing the "E" in E-Leadership: Minor Tweak or Fundamental Change GM Spreitzer, Leadership Development in the Virtual Workplace Part III:Leadership Development Techniques LE Atwater, JF Brett, D Waldman, Understanding the Benefits and Risks of Multisource Feedback Within the Leadership Development Process JA Conger, G Toegel, Action Learning and Multirater Feedback: Pathways to Leadership Development? Part IV:Leadership Development Theory M Uhl-Bein, Relationship Development as a Key Ingredient for Leadership Development CC Cogliser, TA Scandura, Waterfalls, Snowballs, Brick Walls, and Scuzzballs: Does Leader-Member Exchange Up the Line Influence Leader Development? JF Cox, CL Pearce, HP Sims, Jr, Toward a Broader Leadership Development Agenda: Extending the Traditional Transactional-Transformational Duality by Developing Directive, Empowering, and Shared Leadership Skills CA Schriesheim, Why Leadership Research Is Generally Irrelevant for Leadership Development Part V:Leadership Development: Applications & Practice R Ayman, S Adams, B Fisher, E Hartman, Leadership Development in Higher Education Institutions: A Present and Future Perspective RE Riggio, JB Ciulla, GJ Sorenson, Leadership Education at the Undergraduate Level: A Liberal Arts Approach to Leadership Development MD Mumford, GG Manley, Putting the Development in Leadership Development: Implications for Theory and Practice

EMNEs and Knowledge-seeking FDI

Abstract: Knowledge is the preeminent resource of firms that wish to become and/or remain globally competitive. This is especially true for emerging market multinationals, whose ability to overcome their inherent disadvantages as latecomers relies heavily on their ability to seek knowledge outside of their home borders through foreign direct investment. Our conceptual framework explores drivers of knowledge-seeking foreign direct investment, the types of functional knowledge sought, and the impact on location choice and entry mode decisions. It is argued that EMNE knowledge-seeking outward FDI is not based on the traditional asset-exploitation model of FDI, but rather tends to be focused on asset-augmentation through the exploitation of EMNE unique circumstances. Specifically, this work posits that an EMNE’s strategic orientation predicts its propensity to engage in knowledge-seeking FDI and that the type of knowledge sought predicts location choice and entry mode.

The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence.

Abstract: Traditional diagnostic systems went beyond empirical evidence on the structure of mental health Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework The system is not yet comprehensive, and we describe the processes for improving and expanding it We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response We describe progress in the development of HiTOP-based measures and in clinical implementation of the system Finally, we review outstanding challenges and the research agenda HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology