The International Human Rights Policies of New Democracies: Brazil and Chile in Comparative Perspective

Since the beginning of the 1990s, the majority of Latin American states have attempted to incorporate in some way or another human rights concern into their respective foreign policies, highlighting a history of human rights abuses and the return of democratic political rule as a trigger for galvanizing a commitment to assist in preventing such violations in other countries. Yet, while human rights have come to play a non-trivial role in the contemporary foreign policy of many Latin American states, there is great diversity in the ways and the extent to which they go about incorporating human rights concerns into their foreign policies. Explaining the diversity of human rights foreign policies of new Latin American democracies is at the heat of this project. The main research questions are the following: Why do new democracies incorporate human rights into their foreign policies? And what explains the different international human rights policies of new democracies? To answer these questions, this research compares the human rights foreign policies of Chile and Brazil for over two decades starting from their respective transitions to democracy. The study argues that states commitment to international human rights is the result of the intersection of domestic and international influences. At the international level, the search for international legitimacy and the desire for recognition and credibility affected the adoption of international human rights in both cases but with different degrees of impact. International values and pressures by themselves, while necessary, are an insufficient condition for human rights initiatives perceived to have not insubstantial political, economic or strategic costs. New democracies will be more or less likely to actively include human rights in their international policies depending on the following four domestic conditions: political leadership legitimizing the inclusion of human rights into a state's policies, civil society groups connected to international human rights advocacy networks with a capacity to influencing the foreign policy decisions of their government, and the Foreign Ministry's attitudes towards international human rights and the degree of influence it exercises over the outcome of the foreign policy process.

Human Motion Analysis Based on Sequential Modeling of Radar Signal and Stereo Image Features

Falls are one of the greatest threats to elderly health in their daily living routines and activities. Therefore, it is very important to detect falls of an elderly in a timely and accurate manner, so that immediate response and proper care can be provided, by sending fall alarms to caregivers. Radar is an effective non-intrusive sensing modality which is well suited for this purpose, which can detect human motions in all types of environments, penetrate walls and fabrics, preserve privacy, and is insensitive to lighting conditions. Micro-Doppler features are utilized in radar signal corresponding to human body motions and gait to detect falls using a narrowband pulse-Doppler radar. Human motions cause time-varying Doppler signatures, which are analyzed using time-frequency representations and matching pursuit decomposition (MPD) for feature extraction and fall detection. The extracted features include MPD features and the principal components of the time-frequency signal representations. To analyze the sequential characteristics of typical falls, the extracted features are used for training and testing hidden Markov models (HMM) in different falling scenarios. Experimental results demonstrate that the proposed algorithm and method achieve fast and accurate fall detections. The risk of falls increases sharply when the elderly or patients try to exit beds. Thus, if a bed exit can be detected at an early stage of this motion, the related injuries can be prevented with a high probability. To detect bed exit for fall prevention, the trajectory of head movements is used for recognize such human motion. A head detector is trained using the histogram of oriented gradient (HOG) features of the head and shoulder areas from recorded bed exit images. A data association algorithm is applied on the head detection results to eliminate head detection false alarms. Then the three dimensional (3D) head trajectories are constructed by matching scale-invariant feature transform (SIFT) keypoints in the detected head areas from both the left and right stereo images. The extracted 3D head trajectories are used for training and testing an HMM based classifier for recognizing bed exit activities. The results of the classifier are presented and discussed in the thesis, which demonstrates the effectiveness of the proposed stereo vision based bed exit detection approach.

Immigration Law by Proxy: The Case of Colorado’s Human Smuggling Crime

Despite the federal government’s well known expansive reach in creating and enforcing immigration law, the states retain substantial authority to play an important role in migrants’ lives. Through their traditional powers to adopt criminal statutes and police their communities, states can indirectly — but intentionally — inject themselves into the incidents of ordinary life as a migrant. Colorado’s human smuggling statute, currently being challenged before the state supreme court, illustrates this type of state regulation of migration. This essay addresses the statute’s reach, its shaky constitutional footing, and places it in a broader context in which states criminalize immigration-related activity.

Towards Closed-loop Deep Brain Stimulation: Behavior Recognition from Human STN

Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.

Human Rights in the Democratic People's Republic of Korea and the Future of the Troubled State after Kim Jong-Il

Since 2008, international speculation about the viability of Kim Jong-Il's leadership in North Korea has been at the forefront of diplomatic discussions. North Korea is known to be a secretive state where human rights violations abound. This paper discusses the history of leadership and government in North Korea since World War II, the current human rights situation in the country, the role of China, and potential successors to Kim Jong-Il. The ramifications of impending regime change are discussed in terms of North Korea's human rights issues and economic problems. While current efforts at diplomacy have proved ineffective, the need for concerned nations, intergovernmental organizations, and non-governmental organizations to be prepared to engage North Korea after Kim Jong-Il is imperative.

Human Trafficking of Women and Children in the Philippines: Challenges and Solutions

Women and children become victims of human trafficking and exploitation as a result of economic globalization, national history, social structures, and geographical positioning. Human trafficking has increasingly become a global crisis of human rights violations, threatening the lives of women and children in developing countries, like the Philippines. The Philippines can evolve into a model for ending the exploitation of human trafficking if the government commits to implementing internationally recognized strategies, such as strengthening the prosecution of traffickers, providing efficient support for victims, and partnering with international organizations and local non-governmental organizations to further prevent human trafficking from occurring. The results will be felt locally, nationally, and internationally, helping the global community meet the challenges of the Millennium Development Goals.

Human Resources (HR) in the Age of Technology: An Examination of the Relationship Between HR and Technology

Technology helps the Human Resources (HR) department drive for strategic relevance. These two departments are successfully collaborating on major projects in such business-critical areas as e-recruiting, self-service, training, compensation and talent management. Technology is critical in helping increase efficiency, increase attraction and retention, reduce administration and cut costs. In recent years, HR information systems (HRIS) have become more important than ever, this time as an essential part of a company's information security and knowledge fields. Ill-suited benefits and disorganized resources are history; now is the time for customized, dynamic plans and connected systems. Employees will appreciate the HRIS, business will benefit from the HRIS and the HR department will no longer have to be the ugly duckling of the company.

Industry Professionals Who Attain Leadership in Energy and Environmental Design (LEED) Accreditation: An Examination of Motivations in Human Resource (HR) Training and Development

Despite the economy, the green building industry continues to grow and drive the demand for environmentally conscious, highly skilled professionals (USGBC 2009). LEED Accredited Professionals (APs) have the knowledge and skills to meet such demand; however, information is limited regarding LEED APs or their motivations and expectations toward prospective employers. The author surveyed a sample of LEED Accredited architects and found a combination of job and personal factors motivated them to attain accreditation. LEED APs value both a competitive salary and commitment to sustainability in prospective employers. To attract, retain, and utilize LEED APs, executives in this industry must reexamine corporate culture, their willingness to pay for credentialing, and the alignment of their reputation with the desires of potential applicants.

A Human Resource Training Program for Cross-Border Mergers and Acquisitions

Cross-border mergers and acquisitions (M&A) have increased in the twenty-first century; however, the majority of cross-border mergers fail to achieve their financial objectives. Nonetheless, the number of merger failures has not stopped organizations from undertaking mergers. There are multiple sources and types of conflict associated with merger failure, which can all be traced back to the facts that human resource departments have not been utilized effectively and that there has been a lack of planning during the M&A process. Thus, this capstone proposes a training program as a reference for human resource departments to apply best practices for planning, training, and evaluating during the process of M&As, which will help potentially alleviate conflicts during the merger period.

Human Resource's Role in Leveraging Knowledge Management as a Competitive Advantage

The ultra-competitiveness in the twenty-first century's business environment suggests that, to survive, human resource (HR) must prove its value. The knowledge economy presents HR the opportunity to demonstrate its added value through leveraging knowledge management (KM) as a competitive advantage. This capstone reviews the literature on business strategy, knowledge, KM, KM success, and HR to reveal links between these subjects and illustrate three roles HR can undertake to leverage KM as a competitive advantage. The capstone also assesses HR's current contributions to KM through a survey of 42 HR professionals. Survey results suggest that, although HR contributes to the three KM roles, HR is not currently fully capitalizing on the opportunity to become a strategic business partner through KM.

Hiring Manager Training for Strategically Selecting the Best Human Capital

The selection process is arguably the most important part of the employee life cycle in an organization, but a process often underdeveloped in many organizations. Successful selection processes can put the right people into critical positions, whereas failure to focus on selection can result in poor performance, turnover, and loss of productivity critical to the continuing success of organizations. This paper creates a model for a hiring manager training that focuses on a strategic selection process to maximize chances for successful hires. Utilizing leadership and selection models, human resources can engage hiring managers in a strategic applicant selection process as well as give tools for screening, interviewing, and selecting the best candidates for employment throughout all levels of their organization.

Defining and Measuring Metrics for a Multinational Human Resources Department

Successful HR departments should support key business objectives by establishing metrics that determine the effectiveness of their processes. Functions such as recruiting, benefits, and training are processes that should have metrics. Understanding who measures what, when, and how often is the first step in measuring how much it costs to run HR. The next step is determining which processes are most critical, and then determining the metrics that fit the business needs. Slight adjustments will need to be made as business needs change, but the process for measuring outcomes should not change. This paper will focus on multinational corporations that employ at least ten thousand employees and have a ratio of one HR professional to every hundred fulltime equivalents (FTEs).