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How do legislatures develop or institutionalize? Our knowledge about legislative development is mostly based on studies of the U.S. House of Representatives and U.S. state legislatures. However, we know next to nothing about legislative development in the emerging democracies of Latin America. Given the need to develop effective democratic institutions in that region, it is critical to understand how institutions change and how legislatures in particular develop. In this study, I develop a model of legislative development that complements rational choice and path dependent explanations of change. In particular, this model provides an answer to the question: how does a legislative organization change into a legislative institution?In particular, I hypothesize that legislative development varies depending on the extent to which electoral and constitutional reforms balance executive-legislative power asymmetries. To test this hypothesis, I compare legislative development in Nicaragua (1979-2005) and Costa Rica (1871-2005). Central to the process of legislative development are: (1) power asymmetries between presidents and assemblies, (2) the rules and organizations that are established to balance these asymmetries, (3) how rules and organizations affect the development of the legislatures from simple, subordinate organizations into complex and autonomous institutions, and (4) how the broader social, political, and economic environment contributes to legislative development.I find that political actors do not act or function within an historical or contextual vacuum, nor does history and context alone determine political choices and outcomes. Instead, political actors function within rational, institutional, and historical boundaries, so an approach that incorporates aspects of both rational choice and path dependent explanations is preferable to existing models of legislative change. Therefore, part of my contribution is (1) to clarify the conceptual confusion surrounding institutions, organizations, and rules, and reduce ambiguity relating to their incorrect use in current scholarship; (2) to conceptualize legislative development as a process - not an outcome - that unfolds in a causally related sequence; and (3) to develop a Bounded Rationality Model that complements rational choice with path dependent explanations of legislative development to explain how organizations become institutions.

In 2003 years the behaviour of ant Lasius fuliginosus was explored. The trial was made in two ways: a) by different sizes of white sheet of paper then the weather conditions were sunny, cloudy, rainy; b) turning one part of path by cant of 180.

Project managers today rely on scheduling tools based on the Critical Path Method (CPM) to determine the overall project duration and the activities’ float times. Such data provide important information about the degree of flexibility with respect to the project schedule as well as the critical and noncritical activities, which leads to greater efficiency in planning and control of projects. While CPM has been useful for scheduling construction projects, years of practice and research have highlighted a number of serious drawbacks that limit its use as a decision support tool. The traditional representation of CPM lacks the ability to clearly record and represent detailed as-built information such as slow/fast progress and complete representation of work interruptions caused by the various parties involved. In addition, CPM is based on two unrealistic assumptions: that the project deadline is not restricted and that resources are unlimited. With CPM, therefore, the most cost-effective corrective actions needed in order to recover delays and overruns cannot be determined. This research is based on the view that many of the drawbacks of CPM stem from the rough level of detail at which progress data is represented and analyzed, where activities’ durations are considered as continuous blocks of time. To overcome CPM drawbacks, this research presents a new Critical Path Segments (CPS) mechanism, with its mathematical formulation, that offers a finer level of granularity by decomposing the duration of each activity into separate time segments. The CPS mechanism addresses the problems with CPM in three innovative ways: (1) the duration of an activity is represented as a series of separate time segments; (2) the representation of the progress of an activity is enhanced; and (3) an optimization mechanism to incorporate project constraints into the CPS analysis. To demonstrate the ability of the CPS to provide better analysis than the traditional CPM, a number of case studies are used to show its ability to (1) simplify network relationships and accurately calculate floats and critical path(s); (2) achieve better resource allocation and facilitate accurate delay analysis; and (3) overcome problems associated with the use of multiple resource calendars. This research represents a change from well-known CPM techniques and has the potential to revolutionize and simplify the analysis of ongoing and as-built schedules. The developed CPS technique is expected to help project managers achieve a better level of control over projects and their corrective actions because it offers better visualization, optimization, and decision support for meeting project goals within the specified constraints.

This research study develops a framework of indicators to evaluate the ‘institutional capacity’ of a municipality to implement the soft path approach. The soft path approach is a new strategy for water conservation that complements existing supply and demand water management regimes. The soft path approach aims to achieve sustainability by changing how individuals think about water and how water is used. The framework of indicators consists of qualitative descriptions of elements that should be present in a municipality to successfully implement the soft path approach. These indicators fit into eight themes: human resources, information resources, financial resources, policy and legal environment, political environment, community awareness and involvement, technological solutions, and practical considerations. These indicators are also applied to evaluate the institutional capacity of a case study (southern York Region, Ontario, Canada) for its potential to implement the soft path approach. The case study is compatible and equipped to implement the soft path approach, but this can only be accomplished if coordinated with other levels of government and external organizations.

It is a well known fact in graph theory that in a connected graph any two longest paths must have a vertex in common. In this paper we will explore what happens when we look at k - connected graphs, leading us to make a conjecture about the intersection of any two longest paths. We then look at cycles and look at what would be needed to improve on a result by Chen, Faudree and Gould about the intersection of two longest cycles.

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In 1996, Professor Robert J House published a reformulated Path-Goal Theory of Work Unit Leadership, based on his earlier 1971 and 1974 theories. Path-goal leadership attempts to explain the impact that leader behaviour has on subordinate motivation, satisfaction and performance. The aim of this context-specific study is to evaluate this reformulated ‘1996 Theory’ via Structural Equation Modelling with engineers from the Royal Air Force as the primary data source. This thesis offers a revised methodology to test path-goal leadership. In detail, three moderator variables are modelled with four independent variables to establish association with two dependent variables. In addition, five propositions from the ‘1996 Theory’ are examined. The analysis suggests that: the moderator influences preference for a particular type of leadership behaviour (by the subordinate); leader behaviour has an impact on subordinate satisfaction; leader behaviour affects satisfaction directly and performance indirectly; subordinate satisfaction has a direct affect on subordinate performance; and performance is influenced by the type of task demand. It is considered that there is association between the variables; however, the direction of this association is not known and it is difficult to predict accurately. Without further research, which is replicated and revalidated with other cohorts, causality in the leader behaviour — outcome variable paradigm cannot be argued. Due to time constraints, the research has several limitations. Not all propositions cited in the ‘1996 Theory’ are tested and several other variables are not examined. Finally, recommendations are made for future study, particularly replication with other cohorts in the public, private and third sectors to ensure validity. This will help in determining causality with leader behaviour and motivation, satisfaction and performance.

Anxiety is prevalent among 13 % of young adult college students and is associated with emotional and behavioral consequences that adversely affect their mental and physical well-being. The major challenge for implementing evidence-based interventions is the lack of a multidimensional approach for evaluating anxiety in this population. The purpose of this dissertation was to develop an evidence-based theoretical framework for studying the phenomenon of anxiety in young adult college students. Three studies were conducted to achieve this purpose. First, the psychometric properties of the 21-item shortened version of the Depression Anxiety and Stress Scale (DASS-21) were evaluated in a sample of young adult college students. The results indicated that the DASS-21 is a valid and reliable instrument for distinguishing between depression and anxiety in this population. Second, the relative contributions of students’ demographics, life-satisfaction, and coping style to their anxiety levels were evaluated. Maladaptive coping style was identified as the main predictor of students’ anxiety. Particularly, coping strategies related to negative thoughts, such as self-blaming, and cognitive avoidance, such as denial, were significant predictors of anxiety. Other strategies that are related to behavioral coping such as venting and substance use were not significant predictors of anxiety. Thus, further investigation of the cognitive aspect of anxiety was necessary in the third study. In the third study, an integrated hypothetical model of the psychosocial, behavioral, and cognitive dimensions of anxiety was proposed and evaluated in this population. Using a web-based survey, 257 undergraduate students were assessed for anxiety, coping style, negative thinking, social support, life-satisfaction and demographics. Path analysis was used to examine the proposed model. Maladaptive coping and negative thinking were directly related to anxiety with negative thinking being the primary predictor of anxiety in this model. The findings from these studies suggest that the DASS-21 is a valid measure of anxiety and that interventions’ that address negative thinking and maladaptive coping should be considered in future research and practice with young adult college students.

A common feature of emerging future Internet architectures is the ability for applications to select the path, or paths, their packets take between a source and destination. Unlike the current Internet architecture where routing protocols find a single (best) path between a source and destination, future Internet routing protocols will present applications with a set of paths and allow them to select the most appropriate path. Although this enables applications to be actively involved in the selection of the paths their packets travel, the huge number of potential paths and the need to know the current network conditions of each of the proposed paths will make it virtually impossible for applications to select the best set of paths, or just the best path. To tackle this problem, we introduce a new Network Path Advising Service (NPAS) that helps future applications choose network paths. Given a set of possible paths, the NPAS service helps applications select appropriate paths based on both recent path measurements and end-to-end feedback collected from other applications. We describe the NPAS service abstraction, API calls, and a distributed architecture that achieves scalability by determining the most important things to monitor based on actual usage. By analyzing existing traffic patterns, we will demonstrate it is feasible for NPAS to monitor only a few nodes and links and yet be able to offer advice about the most important paths used by a high percentage of traffic. Finally, we describe a prototype implementation of the NPAS components as well as a simulation model used to evaluate the NPAS architecture.