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One of the chief international security issues of today is humanitarian militaryintervention. In light of this, some questions have been raised about when and howoutsiders should get involved or if they are morally right at all to engage in humanitariancrises. In this paper Syria is the chosen case study because of its brutal crackdown and amassive human rights violation. The main purpose of this thesis is to understand themoral and legal criteria for launching a military intervention for humanitarian aid in Syriafollowed by a detailed analysis of its ethical, normative and legal issues. The maintheoretical framework of this study is just war theory. This study utilizes the criteria ofJus ad bellum principles, namely ‘legitimate authority’, ‘just cause’ and ‘right intention’in order to asses the extent to which Syria fits into the framework of just war theory. Thispaper also applies legal criteria such as the Charter of United Nations and internationallaw for the purpose of legal examination. The most complex issue in this thesis is the factthat although legitimate authority has the moral responsibilities to protect civilians, but itoften fails to uphold its responsibility mainly because of self-interest and the lack of rightintention.

In this essay I examine whether the CIA operatives can be considered as legitimate practitioners of violence in a conflict situation, thus looking through a lens where terrorism is treated as an act of war. This paper does not purport to evaluate and review the legality of targeted killing as a mean of warfare or a tool for criminal enforcement but rather the CIA agent’s status from an international law perspective, specifically humanitarian law. I further examine the role of CIA operatives from a moral perspective. Using the framework set up by Just War Theory I examine whether a CIA operative is regarded as a combatant or a civilian from a moral standpoint.

Logistics have, over the last few years, become an important factor to create competitiveness forSwedish construction companies. The companies that use a system where small logistic issues are putin a bigger context and get their flows to work in a customer adapted and cost effective ways, has a lotto win from this. The road to success can be seen as clear, however construction companies are stillstruggling with additional cost due to disturbances in the production.The building entrepreneurs can help the situation by taking their responsibility and start developingthe building logistics. Companies that plan, coordinate and take control of their purchases andmaterial deliveries, while also allowing logistics personnel handle the handling of materials atconstruction sites, may achieve major profits in the form of increased production, less disturbancesand shorter lead times.This thesis will show some opportunities of development for logistics during the framing phase. Thethesis is based on several interviews and a case study to reveal the disturbances that are noticed in theframing phase. These are, along with a comprehensive literature study, the base for the suggestionsand long term recommendations that are presented.The results show that there are great opportunities to streamline the material flow during the designphase. There is potential for progress and improvement through the entire chain, from planning toimplementation in the production. The result and analysis also shows that there are solutions to themajority of the disturbances. These solutions will enhance the working environment, the time aspect,quality and budget.The goal of the thesis has been to analyze and identify which elements are the source of disturbancesduring the framing phase and find solutions to eliminate them. The employer is urged to implementand advance the found solutions, and also implement the long-term recommendations.

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This dissertation argues that the just transition policy framework may not vivify labor internationalism or erode support for right-wing populists if just transitions are not part of left-wing populist projects. Labor internationalism, which involves labor unions cooperating across borders to pursue common goals, is increasingly important as unions strive to work with their foreign counterparts to influence the international community's urgent efforts to address climate change. Right-wing populism is a growing threat to organized labor and climate protection efforts. Some labor activists hope that advocacy for the just transition policy framework, a set of guidelines for compensating workers in polluting industries who are laid-off as a result of environmental protections, will unite labor organizations from around the world and improve their approaches to international solidarity. Progressives hope that just transition policies will discourage voters from supporting right-wing populist candidates, who are often climate skeptics, out of fear of the job losses that accompany environmentalist reforms. However, I question the assumption that just transition policies, in and of themselves, can serve as solutions to the challenges posed by right-wing populism or overcome divisions within the global labor movement. It is possible for economic nationalism at the expense of global solidarity to continue and for right-wing populists to maintain support in decarbonizing areas where policy makers have indemnified laid-off fossil fuel workers. Integrating just transition policies into left-wing populist politics could potentially make just transitions more useful for countering the far-right and promoting labor internationalism. This dissertation looks to the political theorist Antonio Gramsci's thoughts regarding the "national popular," which Gramsci's readers often associate with left-wing populism. The national popular entails intellectuals from different fields (such as the academy, journalism, and manufacturing) coming together to modernize patriotism and strip it of chauvinistic nationalism. I point out that the original proposals for just transitions prioritized providing free higher education for the workers laid-off from polluting industries. The just transition framework's stress on higher education has populistic implications. Educators, particularly members of teachers' unions, may practice populism throughout the implementation of a just transition for laid-off coal workers by encouraging the displaced workers to cooperate with knowledge workers to rethink nationalism. If workers displaced from polluting industries rethink nationalism in university settings while maintaining their connections to the labor movement, then these workers may in turn reject far-right politicians and discourage organized labor from supporting trade nationalism. / Doctor of Philosophy / This dissertation argues that the just transition policy framework may not vivify labor internationalism or erode support for right-wing populists if just transitions are not part of left-wing populist projects. Labor internationalism, which involves labor unions cooperating across borders to pursue common goals, is increasingly important as unions strive to work with their foreign counterparts to influence the international community's urgent efforts to address climate change. Right-wing populism is a growing threat to organized labor and climate protection efforts. Some labor activists hope that advocacy for the just transition policy framework, a set of guidelines for compensating workers in polluting industries who are laid-off as a result of environmental protections, will unite labor organizations from around the world and improve their approaches to international solidarity. Progressives hope that just transition policies will discourage voters from supporting right-wing populist candidates, who are often climate skeptics, out of fear of the job losses that accompany environmentalist reforms. However, I question the assumption that just transition policies, in and of themselves, can serve as solutions to the challenges posed by right-wing populism or overcome divisions within the global labor movement. It is possible for economic nationalism at the expense of global solidarity to continue and for right-wing populists to maintain support in decarbonizing areas where policy makers have indemnified laid-off fossil fuel workers. Integrating just transition policies into left-wing populist politics could potentially make just transitions more useful for countering the far-right and promoting labor internationalism. This dissertation looks to the political theorist Antonio Gramsci's thoughts regarding the "national popular," which Gramsci's readers often associate with left-wing populism. The national popular entails intellectuals from different fields (such as the academy, journalism, and manufacturing) coming together to modernize patriotism and strip it of chauvinistic nationalism. I point out that the original proposals for just transitions prioritized providing free higher education for the workers laid-off from polluting industries. The just transition framework's stress on higher education has populistic implications. Educators, particularly members of teachers' unions, may practice populism throughout the implementation of a just transition for laid-off coal workers by encouraging the displaced workers to cooperate with knowledge workers to rethink nationalism. If workers displaced from polluting industries rethink nationalism in university settings while maintaining their connections to the labor movement, then these workers may in turn reject far-right politicians and discourage organized labor from supporting trade nationalism.

Joint torque feedback (JTF) is a new and promising means of kinesthetic feedback to provide information to a person or guide them during a motion task. However, little work has been done to apply the torque feedback to a person. This project evaluates the properties of JTF as haptic feedback, starting from the fabrication of a lightweight elbow haptic exoskeleton. A cheap hobby motor and easily accessible hardware are introduced for manufacturing and open-sourced embedded architecture for data logging. The total cost and the weights are $500 and 509g. Also, as the prerequisite step to assess the JTF in guidance, human perceptual ability to detect JTF was quantified at the elbow during all possible static and dynamic joint statuses. JTF slopes per various joint conditions are derived using the Interweaving Staircase Method. For either directional torque feedback, flexional motion requires 1.89-2.27 times larger speed slope, in mNm/(°/s), than the extensional motion. In addition, we find that JTFs during the same directional muscle's isometric contraction yields a larger slope, in mNm/mNm, than the opposing direction (7.36 times and 1.02 times for extension torque and flexion torque). Finally, the guidance performance of the JTF was evaluated in terms of time delay and position error between the directed input and the wearer's arm. When studying how much the human arm travels with JTF, the absolute magnitude of the input shows more significance than the duration of the input (p-values of <0.0001 and 0.001). In the analysis of tracking the pulse input, the highest torque stiffness, 95 mNm/°, is responsible for the smallest position error, 6.102 ± 5.117°, despite the applied torque acting as compulsory stimuli. / Doctor of Philosophy / Joint torque feedback (JTF) is a new and promising means of haptic feedback to provide information to a person or guide them during a motion task. However, little work has been done to apply the torque feedback to a person, such as determining how well humans can detect external torques or how stiff the torque input should be to augment a human motion without interference with the voluntary movement. This project evaluates the properties of JTF as haptic feedback, starting from the fabrication of a lightweight elbow haptic exoskeleton. The novelty of the hardware is that we mask most of the skin receptors so that the joint receptors are primarily what the body will use to detect external sensations. A cheap hobby motor and easily accessible hardware are introduced for manufacturing and open-sourced software architecture for data logging. The total cost and the weight are $500 and 509g. Also, as the prerequisite step to assess the JTF in guidance, human perceptual ability to detect JTF was quantified at the elbow during all possible static and dynamic joint statuses. A psychophysics tool called Interweaving Staircase Method was implemented to derive torque slopes per various joint conditions. For either directional torque feedback, flexional motion requires 1.89-2.27 times larger speed slope, in mNm/(°/s) than the extensional motion. In addition, the muscles' isometric contraction with the aiding direction required a larger slope, in $mathrm{mNm/mNm}$ than the opposing direction (7.36 times and 1.02 times for extension torque and flexion torque). Finally, the guidance performance of the JTF was evaluated in terms of time delay and position error between the directed input and the wearer's arm. When studying how much the human arm travels with JTF, the absolute magnitude of the input shows more significance than the duration of the input (p-values of <0.0001 and 0.001). In the analysis of tracking the pulse input, the highest torque stiffness, 95 mNm/°, is responsible for the smallest position error, 6.102 ± 5.117°, despite the applied torque acting as compulsory stimuli.

The success of the Japanese just-in-time (JIT) with kanban inventory control technique has caused many manufacturing firms world-wide to implement similar systems in an attempt to remain competitive. Predicting and controlling the number of kanbans in an unstable environment is a complex decision involving many stochastic factors. This research investigates using neural computing (neural networks) to identify endogenous factors (shop conditions) and exogenous factors (product demand and supplier schedules) that are correlated with kanban system performance and to predict the optimal number of kanbans based on the "dynamic" interaction (changing over time) of these factors inherent in many production environments. The purpose of the research is to test the interpolative ability of a neLiral network to synthesize a multidimensional response surface from sample values and to perform factor screening on the inputs. First, a JIT shop simulator capable of utilizing different factor levels is used to generate data on shop performance for different kanban levels for 560 dynamic shop scenarios. Each combination of shop factor levels, along with the corresponding optimal number of kanbans, is saved in a data file. The data is randomly split into 2 files of equal size. The first file is used as training data for a neural network. The neural network "learns" the relationship between the shop factors and the correct number of kanbans needed from the training data. After the training phase, the neural network is tested on its "associative" ability to determine how well it predicts the correct number of kanbans for the shop scenarios in the second file (data it has never seen). Results are given for different network paradigms to determine the best paradigm for predicting the number of kanbans in a dynamic JIT shop. The neural network is also used as a tool for factor screening. Each factor is analyzed to determine its relative importance in kanban prediction. Statistical tests are used to gauge the importance of the dynamic information as well as to examine the relevance of various factor groupings. The results have practical implications for firms that have adopted, or are considering, the JIT technique. / Ph. D.

This thesis examines the justice priorities found in the national climate transition governance proposed by the eight political parties represented in the Swedish parliamentary. Building on previous research on how justice perspectives are integrated in Sweden’s national climate transition policy discourse, this thesis contributes by identifying prioritized areas and actors/groups in each of the political parties’ climate transition proposals and comparing justice priorities that emerge in these policy proposals.  Just transition is used as a theoretical framework to analyze the political parties’ perspectives on global climate justice, the economy and labor market, environmental justice, and transportation and energy.  The findings show that while explicit justice priorities do not make up a major part of the motions, all political parties consider various social goals alongside emission reductions in their national climate policy. The Swedish political parties all offer different climate transition governance proposals, but a lot of justice priorities are shared. An overall focus on job creation, lowering energy costs for households, and lowering emissions from the transportation sector without limiting mobility is present across the board.

The sociological implications of studying campus communities can lead to breakthroughs not only in teaching and improving learning environments, but provide unique and helpful programs to aid diversity, promote unity, and decrease social inequality on campus and in American society. This study applied Boyer's campus community model to assess the campus communities of a private liberal arts college and a public state research university in the Mid-Atlantic. Using a modified version of the College and University Community Inventory (CUCI) administered through a web-based survey software, data on student perceptions of the different aspects of campus community identified by Boyer were collected and analyzed using factor analysis and regression analysis. The factor analysis led the researcher to propose modifications to the survey instrument. The regression analysis found several significant characteristics of undergraduate students and their institutions that can influence their perceptions of the campus community. A discussion of the findings and the implications of the study are presented. The results reported in this study have lead to several recommendations to be developed to enhance and improve the study of the campus community and environment in higher education using the CUCI. / Master of Science