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Nurses, especially those who care for the critically ill, are required to perform high-level intensive clinical care. It is common for complicated procedures such as therapeutic hypothermia (TH) to be done infrequently at small community hospitals. According to the 2020 recommendations by the American Heart Association (AHA), “prompt initiation of targeted temperature management (formally known as TH) is necessary for all patients who do not follow commands after return of spontaneous circulation to ensure optimal functional and neurological outcome” (Panchal et al., 2020, p.S366). These high-risk, low-frequency protocols typically require nurses to be able to perform these procedures in a time-sensitive manner. If the procedures are not done correctly, they can have negative patient outcomes. Patients are put into medically induced comas, maintained on ventilators, cooled to very low body temperatures, and often medically paralyzed to inhibit shivering. Each of these conditions has the potential for adverse outcomes and together can lead to poor neurological outcomes and even death (Kim et al., 2015). Health educators have the opportunity to provide knowledge and support to these nurses as a way to improve patient outcomes. In this study, a patient care checklist and an online self-learning module were developed for nurses to learn how to perform this high-risk procedure quickly and effectively. A focus group was then conducted with a group of nurses to gain feedback on the checklist and module, and these data informed specific changes to these materials. Then, drawing on a sample of 60 nurses and using a post-study design, data were collected to determine the effectiveness of the checklist and online module as compared to a control group of nurses who read a scholarly article on the same subject. Data were collected at two time points for both the experimental and control groups. The results indicated that nurses who used the online learning tool scored higher in the post-assessment than those in the control group (t = 6.092, p < .001, BCondition = 3.865), with a remarkably high effect size, r2 = 0.379. Moreover, 77% of the nurses agreed that protocols and checklists helped nurses minimize disparities in patient health outcomes. Additionally, 95% of the nurses agreed that patient care checklists helped them care for patients when delivering high-risk, low-volume protocols such as TH. This study demonstrated that online learning tools provide an effective way to educate nurses, and checklists and protocols support the implementation of high-risk, low-volume procedures such as TH.

Blockchain technology has become an appealing concept in Distributed Systems because it enables a distributed storage of information, replacing a central database [1]. In addition, Blockchains promise to address inherent and difficult issues in distributed systems such as a) proving the provenance of information, i.e., the documentation where pieces of data comes from (including their the processing), and b) that the information has not been changed, i.e., the integrity of the information has not been corrupted. The data in a Blockchain is said to be immutable. In this thesis, we apply Blockchain technology as a concept in Distributed Systems for securely collecting and storing data from distributed cloud resources that must be intact over a longer amount of time, such as the amount of consumed cloud resources characterized by CPU load or energy usage. In particular, this work considers a peer-to-peer energy use case where virtual energy resources are monitored. The focus of this thesis is on a) how a Blockchain for a distributed Cloud monitoring can be implemented, b) how the workload can be characterized and c) how the Blockchain system’s performance can be observed and what performance can be achieved. Therefore, the work defines an initial system model, provide an implementation, and carries out experiments in order to understand the impact of the design factors and the system input to the capabilities and performance of the system. The results of the experiments, the workload characterization and performance analysis, are analysed by statistical means and provided as graphs. The choices of system models, Blockchain technology (Hyperledger Fabric), and other parameters, are based on the literature review. The experimental implementation is, in turn, based on the selected system model, where we want to experimentally identify limitations and bottlenecks of the performance.

Detecting human cognitive load is an increasingly important issue in the interaction between humans and machines, computers, and robots. In the past decade, several studies have sought to distinguish the cognitive load, or workload, state of humans based on multiple observations, such as behavioral, physiological, or multi-modal data. In the Human-Machine Interaction (HMI) cases, estimating human workload is essential because manipulators' performance could be adversely affected when they have many tasks that may be demanding. If the workload level can be detected, it will be beneficial to reallocate tasks on manipulators to improve the productivity of HMI tasks. However, it is still on question marks what kinds of cues can be utilized to know the degree of workload. In this research, eye blinking and mouse tracking are chosen as behavioral cues, exploring the possibility of a non-intrusive and automated workload estimator. During tests, behavior cues are statistically analyzed to find the difference among levels, using a dataset focused on three levels of the dual n-back memory game. The statistically analyzed signal is trained in a deep neural network model to classify the workload level. In this study, eye blinking related data and mouse tracking data have been statistically analyzed. The one-way repeated measure analysis of variance test result showed eye blinking duration on the dual 1-back and 3-back are significantly different. The mouse tracking data could not pass the statistical test. A three-dimension convolutional deep neural network is used to train visual data of human behavior. Classifying the dual 1-back and 3-back data accuracy is 51% with 0.66 F1-score on 1-back and 0.14 on 3-back data. In conclusion, blinking and mouse tracking are unlikely helpful cues when estimating different levels of workload. <br>

Zur Steigerung der Qualität werden Wartungstechniker bei ihren Rundgängen in Prozessanlagen mit digitalen Assistenzsystemen unterstützt. Dadurch soll diese Arbeit effizienter und weniger fehleranfällig gestaltet werden. Da sich jedoch konventionelle Eingabemetaphern dafür nur bedingt eignen, versucht man Eingabeelemente von dem Anzeigeelement räumlich zu trennen. Um den Einfluss einer solchen Trennung auf die Arbeitsbeanspruchung des Nutzers zu untersuchen, wurde ein Evaluationsexperiment mit zwei Versuchsgruppen durchgeführt. Dabei hat eine Versuchsgruppe festgelegte Wartungsrundgänge mit Hilfe von Assistenzsystemen mit abgesetzten Eingabegeräte durchgeführt und die andere Gruppe mit kombinierten Eingabegeräten. Der Versuch wurde für die drei Interaktionsmetaphern Texteingabe, Navigation in strukturierten Daten und Navigation in Abbildungen mit jeweils angepassten Eingabegeräten durchgeführt. Als Beanspruchungsindikatoren wurden die Pupillengröße, die Zeitdauer und die subjektive Bewertung mit Hilfe des NASA-TLX gemessen. Als Ergebnis zeigt sich, dass kein signifikanter Unterschied zwischen den verschiedenen Ausprägungen der Trennung für alle Interaktionsmetaphern existiert. Daher spricht von Standpunkt der Arbeitsbeanspruchung nichts gegen eine Trennung des Eingabegeräts vom Anzeigegerät. Zur Erhöhung der Qualität der Daten und Präzisierung der Aussage sollte der Versuch mit einigen Änderungen aber erneut durchgeführt werden. / Maintenance technicians are assisted during their operations in process plants with digital assistant systems to increase the quality. This should make the work more efficient and less error prone. Since conventional input metaphors are only limited suitable for this purpose, new input devices are developed which are seperated from the display element. To investigate the influence of such a separation on the work load of the user, an evaluation experiment was conducted with two experimental groups. One group has performed specified maintenance tours with seperated input devices and the other group with combined input devices. The experiment was conducted for the three interaction metaphors text input, navigation in structured data and navigation in images. For each metaphor a suitable input device was used. The workload was measured with the indicators pupil size, time duration and a subjective evaluation with the NASA-TLX. In this experiment no significant difference exists between the various forms of separation for all interaction metaphors. Therefore there is no reason rejecting a separation of the input device from the display device. Nevertheless to improve the quality of the data this investigation should be repetead with some modifications.

Magister Curationis - MCur / Academic performance of students is influenced by a combination of several psychosocial factors which include seeking academic help, use of various sources for academic learning, extent of the student seeking academic help, seeing academic help-seeking as a threat to self-esteem, interest in a subject, self-motivation and stress related to academic workload. Therefore, this study aimed to investigate psychosocial factors predicting the academic performance of first-year college nursing students, using a quantitative research method with a descriptive survey design. The population for this study was all first-year nursing students registered at a college of nursing in 2019. An inclusive sampling technique was used to include all 171 members of the student population in the study.

Databases are very complex systems that require database system administrators to perform system tuning in order to achieve optimal performance. Memory tuning is vital to the performance of a database system because when the database workload exceeds its memory capacity, the results of the queries running on a system are delayed and can cause substantial user dissatisfaction. In order to solve this problem, this thesis presents a platform modeled after a closed control feedback loop to control the level of multi-query processing. Utilizing this platform provides two key assets. First, the system identification is acquired, which is one of two crucial steps involved in developing a closed feedback loop. Second, the platform provides a means to experimentally study database tuning problem and verify the effectiveness of research ideas related to database performance.

The topic of this master thesis is focused on occupational workload and life satisfaction of medical staff members, specifically general nurses. Profession of nurse is very physically and mentally demanding and the workload can lead to disturbance of nurse's health and well-being, thus also life satisfaction, which is a cognitive part of well-being. The aim of the theoretical part of the thesis is to be knowledgeable in thematic literature and summarize gained information into meaningful content. The first chapter is dedicated to the profession of nurse, its content, what education must be completed and what personality assumption should be met. The following chapters are focused on the occupational workload and stress of nurses, connected problems and coping options and also life satisfaction with related concepts is discussed. Aim of the empirical part is to analyse how selected Czech general nurses from inpatient wards scored in the Questionnaire of Life Satisfaction and the Meister's Questionnaire of Workload Rating, explore dependence of the outcomes on selected factors and causality between the outcomes. Attention has been focused on particular departments. Key words: department, life satisfaction, nurse, occupational workload, profession, stress

Flexible working hours is a work regulation which both creates opportunity for an increased flexibility but on the other hand demands the same from the employee. An increase in availability for the employees has contributed to a more blurred line between work and free time. This study has examined how flexible working hours affects the employees stress levels, workload and work life balance. Previous research has shown that stress, workload and work- life balance continuously interact and correlate with each other. Results both show that flexible working hours has positive and negative effects on all the subject matters. Using a qualitative method six interviews has been completed and from the collected data it can be concluded that all the interviewed work more than their contracted hours. Furthermore, it can also be shown that the constant availability complicates work-life balance. Finally, the data also presents a form of acceptance and normalizations around the demands and what is expected from an employee with flexible working hours. / Förtroendearbetstid är en arbetstidsreglering som både möjliggör en ökad flexibilitet men samtidigt kräver detsamma från den anställda. En ökad tillgänglighet för de anställda har bidragit till att gränsen mellan arbete och fritid inte är lika tydlig. I den här studien undersöks det hur förtroendearbetstid påverkar den anställdas stress, arbetsbelastning och gränsdragningen mellan arbete och fritid. Tidigare forskning visar att stress, arbetsbelastning och gränsdragning är sammankopplade till varandra och att det sker en ständig växelverkan. Det finns resultat som både visar på positiva och negativa effekter på samtliga forskningsområden till följd av förtroendearbetstiden. Med hjälp av kvalitativ metod genomfördes sex intervjuer och utifrån det insamlade materialet dras slutsatsen att samtliga respondenter arbetar mer än avtalad tid. Vidare visar resultatet att den ständiga tillgängligheten försvårar gränsdragningen mellan arbete och fritid. Resultatet leder även fram till att det finns en acceptans och normalisering kring vad som krävs och förväntas från den anställda med förtroendearbetstid.

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