This thesis’ purpose is to demonstrate, via the examination of popular youth literature (primarily pulp magazines and comic books) from the 1920s through to the 1950s, that the stories found therein drew their definitions of heroism and villainy from an overarching, nativist fear of outsiders that had existed before the Great War, but intensified afterwards. These depictions were transferred to America’s “new” enemies following both the United States’ entry into the Second World War, as well as the early stages of the Cold War. This transference of nativist imagery left behind the ethnically-based origins of such depictions, showing that racism was not the sole and simple reason for such exaggerated visages. A process of change, in regards to America’s nativist sentiment, so virulent after the First World War, will be explained by way of the popular, inexpensive escapism of the time, the pulp magazines and comic books of the early to mid-twentieth century.

Current methods of robot task teaching and learning have several limitations: highly-trained personnel are usually required to teach robots specific tasks; service-robot systems are limited in learning different types of tasks utilizing the same system; and the teacher’s expertise in the task is not well exploited. A human-inspired robot-task teaching and learning method is developed in this research with the aim of allowing general users to teach different object-manipulation tasks to a service robot, which will be able to adapt its learned tasks to new task setups. The proposed method was developed to be interactive and intuitive to the user. In a closed loop with the robot, the user can intuitively teach the tasks, track the learning states of the robot, direct the robot attention to perceive task-related key state changes, and give timely feedback when the robot is practicing the task, while the robot can reveal its learning progress and refine its knowledge based on the user’s feedback. The human-inspired method consists of six teaching and learning stages: 1) checking and teaching the needed background knowledge of the robot; 2) introduction of the overall task to be taught to the robot: the hierarchical task structure, and the involved objects and robot hand actions; 3) teaching the task step by step, and directing the robot to perceive important state changes; 4) demonstration of the task in whole, and offering vocal subtask-segmentation cues in subtask transitions; 5) robot learning of the taught task using a flexible vote-based algorithm to segment the demonstrated task trajectories, a probabilistic optimization process to assign obtained task trajectory episodes (segments) to the introduced subtasks, and generalization of the taught task trajectories in different reference frames; and 6) robot practicing of the learned task and refinement of its task knowledge according to the teacher’s timely feedback, where the adaptation of the learned task to new task setups is achieved by blending the task trajectories generated from pertinent frames. An agent-based architecture was designed and developed to implement this robot-task teaching and learning method. This system has an interactive human-robot teaching interface subsystem, which is composed of: a) a three-camera stereo vision system to track user hand motion; b) a stereo-camera vision system mounted on the robot end-effector to allow the robot to explore its workspace and identify objects of interest; and c) a speech recognition and text-to-speech system, utilized for the main human-robot interaction. A user study involving ten human subjects was performed using two tasks to evaluate the system based on time spent by the subjects on each teaching stage, efficiency measures of the robot’s understanding of users’ vocal requests, responses, and feedback, and their subjective evaluations. Another set of experiments was done to analyze the ability of the robot to adapt its previously learned tasks to new task setups using measures such as object, target and robot starting-point poses; alignments of objects on targets; and actual robot grasp and release poses relative to the related objects and targets. The results indicate that the system enabled the subjects to naturally and effectively teach the tasks to the robot and give timely feedback on the robot’s practice performance. The robot was able to learn the tasks as expected and adapt its learned tasks to new task setups. The robot properly refined its task knowledge based on the teacher’s feedback and successfully applied the refined task knowledge in subsequent task practices. The robot was able to adapt its learned tasks to new task setups that were considerably different from those in the demonstration. The alignments of objects on the target were quite close to those taught, and the executed grasping and releasing poses of the robot relative to objects and targets were almost identical to the taught poses. The robot-task learning ability was affected by limitations of the vision-based human-robot teleoperation interface used in hand-to-hand teaching and the robot’s capacity to sense its workspace. Future work will investigate robot learning of a variety of different tasks and the use of more robot in-built primitive skills.

Current methods of robot task teaching and learning have several limitations: highly-trained personnel are usually required to teach robots specific tasks; service-robot systems are limited in learning different types of tasks utilizing the same system; and the teacher’s expertise in the task is not well exploited. A human-inspired robot-task teaching and learning method is developed in this research with the aim of allowing general users to teach different object-manipulation tasks to a service robot, which will be able to adapt its learned tasks to new task setups. The proposed method was developed to be interactive and intuitive to the user. In a closed loop with the robot, the user can intuitively teach the tasks, track the learning states of the robot, direct the robot attention to perceive task-related key state changes, and give timely feedback when the robot is practicing the task, while the robot can reveal its learning progress and refine its knowledge based on the user’s feedback. The human-inspired method consists of six teaching and learning stages: 1) checking and teaching the needed background knowledge of the robot; 2) introduction of the overall task to be taught to the robot: the hierarchical task structure, and the involved objects and robot hand actions; 3) teaching the task step by step, and directing the robot to perceive important state changes; 4) demonstration of the task in whole, and offering vocal subtask-segmentation cues in subtask transitions; 5) robot learning of the taught task using a flexible vote-based algorithm to segment the demonstrated task trajectories, a probabilistic optimization process to assign obtained task trajectory episodes (segments) to the introduced subtasks, and generalization of the taught task trajectories in different reference frames; and 6) robot practicing of the learned task and refinement of its task knowledge according to the teacher’s timely feedback, where the adaptation of the learned task to new task setups is achieved by blending the task trajectories generated from pertinent frames. An agent-based architecture was designed and developed to implement this robot-task teaching and learning method. This system has an interactive human-robot teaching interface subsystem, which is composed of: a) a three-camera stereo vision system to track user hand motion; b) a stereo-camera vision system mounted on the robot end-effector to allow the robot to explore its workspace and identify objects of interest; and c) a speech recognition and text-to-speech system, utilized for the main human-robot interaction. A user study involving ten human subjects was performed using two tasks to evaluate the system based on time spent by the subjects on each teaching stage, efficiency measures of the robot’s understanding of users’ vocal requests, responses, and feedback, and their subjective evaluations. Another set of experiments was done to analyze the ability of the robot to adapt its previously learned tasks to new task setups using measures such as object, target and robot starting-point poses; alignments of objects on targets; and actual robot grasp and release poses relative to the related objects and targets. The results indicate that the system enabled the subjects to naturally and effectively teach the tasks to the robot and give timely feedback on the robot’s practice performance. The robot was able to learn the tasks as expected and adapt its learned tasks to new task setups. The robot properly refined its task knowledge based on the teacher’s feedback and successfully applied the refined task knowledge in subsequent task practices. The robot was able to adapt its learned tasks to new task setups that were considerably different from those in the demonstration. The alignments of objects on the target were quite close to those taught, and the executed grasping and releasing poses of the robot relative to objects and targets were almost identical to the taught poses. The robot-task learning ability was affected by limitations of the vision-based human-robot teleoperation interface used in hand-to-hand teaching and the robot’s capacity to sense its workspace. Future work will investigate robot learning of a variety of different tasks and the use of more robot in-built primitive skills.

Mining obligations are a matter of great importance in the Mining Law and even more regarding the owners of mining rights, because the breach of any of these obligations by the leatters will lead mining concessions to extinction.This article develops in the first part the general framework for mining obligations, both those borned as a result of the formulation and granting of a mining concession and the consequences generated because of its breach. In the second part we analyze the problem regarding for the poor regulation of expiration (which is one of the most important causes of extinction of a mining concession) and their most notorious example due to lack of knowledge of timely payment. / Las obligaciones mineras son un tema de gran importancia en el Derecho Minero y más aún de los titulares de derechos mineros, debido a que el incumplimiento de alguna ellas priva de efectos a la concesión minera produciendo su extinción.El presente artículo desarrolla –en su primera parte– el marco general de las obligaciones mineras, tanto de aquellas que nacen como consecuencia de la formulación y otorgamiento de una concesión minera, así como las consecuencias que se generan por su incumplimiento. En la segunda parte, analizamos el marco conceptual previsto para la caducidad, como una de las causales de extinción más frecuentes de una concesión minera y la problemática que presenta su aplicación al pretender explicarla también como a ausencia de acreditación oportuna.

One of the central challenges for the healthcare system today is how to manage care for patients with complex needs. This patient group is not well-defined but covers patients with serious diseases and comorbidities, or with a limited ability to perform basic daily functions due to physical, mental or psychosocial challenges. This group has a high service and resource utilisation resulting in high costs for the healthcare system and, typically, poor health outcomes. To improve care for these patients, it is necessary to implement strategies to manage the differentiated care needs, the additional support needs, the uncertainty in care delivery, and the coordination needs of the involved providers and the patient. Care pathways are increasingly used internationally to make care more patient-centred and to structure and design care processes for individual patient groups. Important elements in care pathways include structuring care activities, by defining their content and sequence; coordinating between providers and professionals; and involving patients in their care process. In this thesis, care pathways are proposed as the overall strategy for managing care for patients with complex care needs. The purpose of this thesis is thus to contribute with knowledge on how care pathways can be managed for patients with complex care needs. This is achieved by analysing how the practices coordination, standardisation, customisation and personalisation can support management of care pathways and by discussing how these practices influence quality of care. The quality of care dimensions discussed are accessible, timely, equitable, and patient-centred care. The empirical context in this thesis is the Standardised Cancer Care Pathways (CCPs) which were implemented in Sweden from 2015 to 2018. CCPs is the umbrella term for the national initiative to shorten waiting times, decrease regional differences and reduce fragmentation in care processes. CCPs include elements such as diagnosis-specific pathways and guidelines, introduction of CPP coordinators, and mandatory reporting of waiting times. Focus has been on implementing care pathways for 31 cancer diagnoses in all Swedish healthcare regions. Both qualitative and quantitative research methods have been used. A case study was conducted to examine standardised and customised care pathways, and coordination and multidisciplinary work in care pathways. A document study of regional reports on CCPs was analysed to study effects of care pathways on accessibility, timeliness and equitability. Finally, a national survey was conducted to deepen the understanding of the role of coordination, as performed by coordinators, in care pathways. This thesis argues that standardised and customised care pathways should be combined to manage care for patients with complex care needs. The customised pathway in particular benefits patients with serious unspecific symptoms, unknown primary tumour or more complex care needs, while patients with care needs that can be treated independently of the main diagnosis benefit from following a standardised care pathway. Coordinators are an important means to manage coordination, customisation and personalisation in the care pathway. The coordinators’ role is twofold: the first role is to manage care pathways by customising the care pathway and coordinating involved providers; the second role is to support and guide patients through the care pathway. This can be achieved by adapting interpersonal communication with patients through personalisation. This thesis further argues that care pathways have most potential to positively influence accessibility, timeliness, equitability, and patient-centredness. Accessibility has been positively influenced, especially for patients with ambiguous symptoms where symptoms indicating cancer have improved their chances of accessing cancer diagnostics. A negative aspect of prioritising patients who follow CCPs has been the potentially longer waiting times for other patient groups in equal need of urgent care. Notwithstanding, prioritised access to care is perceived to positively influence timeliness for patients following CCPs. Care pathways are perceived to have positively influenced patient-centredness by shifting the focus from what to deliver to how to deliver it.

As nuclear energy grows in the United States and around the world, the expansion of the nuclear fuel cycle is inevitable. All currently deployed commercial reprocessing plants are based on the Plutonium - Uranium Extraction (PUREX) process. However, this process is not implemented in the U.S. for a variety of reasons, one being that it is considered by some as a proliferation risk. The 2001 Nuclear Energy Policy report recommended that the U.S. "develop reprocessing and treatment technologies that are cleaner, more efficient, less waste-intensive, and more proliferation-resistant." The Uranium Extraction (UREX+) reprocessing technique has been developed to reach these goals. However, in order for UREX+ to be considered for commercial implementation, a safeguards approach is needed to show that a commercially sized UREX+ facility can be safeguarded to current international standards. A detailed safeguards approach for a UREX+1a reprocessing facility has been developed. The approach includes the use of nuclear material accountancy (MA), containment and surveillance (C/S) and solution monitoring (SM). Facility information was developed for a hypothesized UREX+1a plant with a throughput of 1000 Metric Tons Heavy Metal (MTHM) per year. Safeguard goals and safeguard measures to be implemented were established. Diversion and acquisition pathways were considered; however, the analysis focuses mainly on diversion paths. The detection systems used in the design have the ability to provide near real-time measurement of special fissionable material in feed, process and product streams. Advanced front-end techniques for the quantification of fissile material in spent nuclear fuel were also considered. The economic and operator costs of these systems were not considered. The analysis shows that the implementation of these techniques result in significant improvements in the ability of the safeguards system to achieve the objective of timely detection of the diversion of a significant quantity of nuclear material from the UREX+1a reprocessing facility and to provide deterrence against such diversion by early detection.

Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec, wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). This system is optimized for efficient and accurate collection, processing, and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency, transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process, several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation, we have achieved 86.95% power reduction in average, in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented, which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings, when compared to a traditional way of executing deep sleep mode. / Nuförtiden så har multifunktionella bärbara hälsoenheter fått en betydande roll. Dessa enheter drivs vanligtvis av batterier och är därför begränsade av batteritiden (från ett par timmar till ett par veckor beroende på tillämpningen). På senaste tiden har det framkommit att dessa enheter som används vid en fast spänning och frekvens kan användas vid flera spänningar och frekvenser. Genom att byta till lägre spänning och frekvens på grund av effektbehov så kan enheterna få enorma fördelar när det kommer till energibesparing. Dynamisk skalning av spänning och frekvens-tekniker (såkallad Dynamic Voltage and Frequency Scaling, DVFS) har visat sig vara användbara i detta sammanhang för en effektiv avvägning mellan energi och beteende. Hos Imec så använder sig bärbara enheter av den internt utvecklade MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). Systemet är optimerat för effektiv och korrekt insamling, bearbetning och överföring av data från flera (hälso) sensorer. MUSEIC v2 har begränsad möjlighet att styra spänningen och frekvensen dynamiskt. I detta examensarbete undersöker vi hur traditionella DVFS-tekniker kan appliceras på MUSEIC v2. Experiment utfördes för att ta reda på de optimala effektlägena och för att effektivt kunna styra och även skala upp matningsspänningen och frekvensen. Eftersom att ”overhead” skapades vid växling av spänning och frekvens gjordes också en övergångsanalys. Realtidsoch icke-realtidskalkyler genomfördes baserat på dessa tekniker och resultaten sammanställdes och analyserades. I denna process granskades flera toppmoderna schemaläggningsalgoritmer och skalningstekniker för att hitta en lämplig teknik. Genom att använda vår föreslagna skalningsteknikimplementering har vi uppnått 86,95% effektreduktion i jämförelse med det konventionella sättet att MUSEIC v2-chipets processor arbetar med en fast spänning och frekvens. Tekniker som inkluderar lätt sömn och djupt sömnläge studerades och implementerades, vilket testade systemets förmåga att tillgodose DPM-tekniker (Dynamic Power Management) som kan uppnå ännu större fördelar. En ny metod för att genomföra den djupa sömnmekanismen föreslogs också och enligt erhållna resultat så kan den ge upp till 71,54% lägre energiförbrukning jämfört med det traditionella sättet att implementera djupt sömnläge.

The diploma thesis deals with problems of depression in older people. Mainly the work is focused on identifying and analyzing the role of nurses in screening for depression in older people in primary care, acute care, long-term care and home care. This thesis was focused on theoretical direction and was used the method of design and demonstration. In this thesis was set one main goals with five research questions. The main goal was to identify and analyze the role of nurses in screening for depression in the elderly. RQ 1: What is the role of the nurse in screening for depression in the elderly? RQ 2: What is the role of the nurse in the primary care in screening for depression in the elderly? RQ 3: What is the role of the nurse in screening for depression in hospitalized patients in acute care? RQ 4: What is the role of the nurse in screening for depression in seniors in long-term and home care? RQ 5: What rating scales and methods are used in screening for depression in the elderly? The thesis introduce the concept of depression. The following are specified the causes of and the important factors that affect depression in the elderly. It also deals the differences in the clinical symptomatology of depression in old age. It explains possibilities and various barriers in the diagnosis of depression. Another chapter introduces complete geriatric examination, diagnostic classification systems, possible screening methods and scales for detection of depression in the elderly population. It also deals methods of pharmacological and non-pharmacological treatment and its possible complications associated with older age. By reason of increased suicide rate caused by depressive disorder the issue of suicidal behavior in the elderly is introduced. The next chapter deals with the nursing process, which is used by nurses in practice. It consists of the evaluation of the patient's health condition, making nursing diagnosis, creating nursing plan and subsequent implementation and evaluation. The nursing process is also needy for providing quality care. The nursing process in the stage of nursing diagnosis, introduces possible nursing diagnosis for a patient suffering from depression, which are based on the latest classification. Finally is described the role of nurses in screening for depression in the elderly in different health facilities and their contribution to the timely evaluation of depression in the elderly. This chapter introduces the role of nurses, nursing screening and collaboration with a physician. The role of nurses in screening for depression in different medical facilities is based on the first phase of the nursing process of assessment. On the basis of objective and subjective information, the nurse will assess the overall health and mental condition of the patient. Primarily, it was investigated what is the role of the nurse in screening for depression. On the basis of content analysis and synthesis it was necessary to used and processed domestic and foreign literature. A number of relevant sources are the results of various studies and Meta-analyzes, mostly from abroad, but also from the Czech Republic. The thesis can serve as a basis for nurses. The result of this thesis is to create e-learning material available for students in the Faculty of Health and Social Sciences of South Bohemia in Ceske Budejovice in the tutorial called Moodle.