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This study focuses on examining the impact of energy consumption, economic structure, population, and manufacturing output on the CO₂ emissions of selected emerging countries by utilizing the Structural Time Series Model (STSM). Based on the annual data ranging from 1970 to 2019, the model is built up using total primary energy consumption, GDP per capita, population and manufacturing value-added, and, finally, a stochastic Underlying Emission Trend as explanatory variables. STSM is extended by the introduction of the notion of Underlying Energy Demand Trend (UEDT) as a factor for exogenous effects, including development in technical progress, energy efficiency improvements, changes in human behaviors, economy, and environmental regulations. In this context, STSM and the notion of UEDT are implemented to form a forecasting model for CO₂ emissions of the selected emerging countries. The model discovers the significant influences of all selected variables of CO₂ emissions. The results suggest that the most forceful factor in CO₂ emissions is the total primary energy supply. Furthermore, while the long-term impact of economic growth on CO₂ emissions is negative for some emerging economies, it is positive for several others. The model also measures the long-term manufacturing value-added elasticity of CO₂ emissions in these emerging economies.

The mechanisms of all life and ecosystems on Earth have a spiritual dimension of interconnectedness. We refer to such patterns as the process of dynamic, awareness-driven clustering, which applies as much to the microscopic molecular world of energetic connectivity that formed the earliest and smallest forms of life, as to the complex world of DNA programmed species which includes the human being. This clustering subsequently develops beyond the definition of the molecular composition and behaviour of any living creature. Each human being, for instance, consists inside of billions of interrelated life forms that sustain the person through symbiotic interaction within our intestines. In fact, we can consider any human being as a uniquely clustered living inner universe of its own.

In a broader context, every human being itself relates with its environment with the same awareness-driven dynamic clustering principles as our inner world. Through this natural activity, we feed, grow, protect, procreate and evolve. Most of this clustering we do as a natural condition of our being. Our evolutionary breakthrough into the conscious world of cognitive perception, auto-reflective awareness, interpretation and communication, has made us a unique self-reviewing, learning, creative species, capable of organising itself out of progressive self-interest. This unique level of evolution has brought us where we stand today, the sixth force of mass destruction of all life forms on Earth, including our own, since our planet has existed, and the first destructive force that is equally characterised as a miracle of wit and creativity among all living species. This relatively sudden, extremely dangerous paradox of wit versus destruction has given rise to a new evolutionary, spiritual breakthrough with newly oriented awareness-driven dynamic clustering, the participation society, or awareness-driven human ecosystem.

This chapter provides an overview of the Department of Defense (DoD) laboratory structure to help equipment designers, modelers, and manufacturers determine where research, testing programs, or relevant findings can be found. The chapter includes a discussion of the performance measures and metrics typically used in DoD laboratories and concludes by considering the current state-of-the-art as well as the state-of-the-possible for human performance measurement.