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The intent of this exploratory study was to discover the cultural significance of an Apache ritual, the Sunrise Ceremony, as it relates to the physical, mental, and emotional well-being of the Apache individual, family, and community at large. The ethnographic methodology was used to gather data because this design provided the most systematic and flexible process to generate the widest range of information necessary for describing this culture from the native's point of view. Four culturally relevant domains were developed and analyzed to reveal five cultural themes, including "It's my strength," "Women are the core of living here," "It Tells You the Story of the Beginning," and "Change is Sad--Alcohol is Bad." The findings suggest that because the Sunrise Ceremony is central to the Apache way of life, its values and culture, an understanding of the Sunrise Ceremony can assist in the development of accurate nursing assessments and successful interventions to improve the collective health and well being of the Apache people. Additionally, recommendations for nursing practice and further research are proposed.

The aim of the master thesis is to describe Apache Spark framework , its structure and the way how Spark works . Next goal is to present topic of Model- Driven Development and Model-Drive Architecture . Define their advantages , disadvantages and way of usage . However , the main part of this text is devoted to design a model for creating tasks in Apache Spark framework . Text desribes application , that allows user to create graph based on proposed modeling language . Final application allows user to generate source code from created model.

Data processing is generally defined as the collection and transformation of data to extract meaningful information. Data processing involves a multitude of processes such as validation, sorting summarization, aggregation to name a few. Many analytics engines exit today for largescale data processing, namely Apache Spark, Apache Flink and Apache Beam. Each one of these engines have their own advantages and drawbacks. In this thesis report, we used all three of these engines to process data from the Carbon Monoxide Daily Summary Dataset to determine the emission levels per area and unit of time. Then, we compared the performance of these 3 engines using different metrics. The results showed that Apache Beam, while offered greater convenience when writing programs, was slower than Apache Flink and Apache Spark. Spark Runner in Beam was the fastest runner and Apache Spark was the fastest data processing framework overall. / Databehandling definieras generellt som insamling och omvandling av data för att extrahera meningsfull information. Databehandling involverar en mängd processer som validering, sorteringssammanfattning, aggregering för att nämna några. Många analysmotorer lämnar idag för storskalig databehandling, nämligen Apache Spark, Apache Flink och Apache Beam. Var och en av dessa motorer har sina egna fördelar och nackdelar. I den här avhandlingsrapporten använde vi alla dessa tre motorer för att bearbeta data från kolmonoxidens dagliga sammanfattningsdataset för att bestämma utsläppsnivåerna per område och tidsenhet. Sedan jämförde vi prestandan hos dessa 3 motorer med olika mått. Resultaten visade att Apache Beam, även om det erbjuds större bekvämlighet när man skriver program, var långsammare än Apache Flink och Apache Spark. Spark Runner in Beam var den snabbaste löparen och Apache Spark var den snabbaste databehandlingsramen totalt.

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2 pp. / This fact sheet briefly describes the socioeconomic and cultural aspects of the San Carlos Apache reservation.

4 pp. / This fact sheet describes the socioeconomic and cultural aspects of the San Carlos Apache reservation, as well as the history of extension and effective extension programs and collaborations conducted on this reservation.

2 pp. / This fact sheet briefly describes the research protocol of the San Carlos Apache Tribe reservation.