2,290 research outputs found

    Business Process Evaluation of Outpatient Services Using Process Mining

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    A business needs an evaluation to increase its services and adaptability to the environment changes. Business process evaluation is one of the several ways for business development. This paper reports an assessment of outpatient service process at RSUD Sukoharjo for BPJS Health insurance’s patient using process mining to get an objective process model. We implement the Inductive Miner infrequent approach and analyze the process model with conformance checking and performance analysis. Stakeholders can utilize the results of the evaluation to understand the real service condition and plan an action to improve their services. We can conclude that there is a bottleneck in the waiting time of the registration process with an average of 1.5-2 hours, a polyclinic treatment process with an average of 1-2 hours and pharmacy process with an average of 0.5-1 hours

    Experience That Works: An Investigation Uncovering Essential Elements of Field Experiences and Internships within Principal Preparation Programs That Significantly Impact and Contribute to Principal Effectiveness

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    This study applied situational leadership and transformational leadership theories to discern essential elements of principal preparation program field experiences and internships that contributed most to principal effectiveness. Identifying critical components of principal preparation field experiences and internships were imperative to ensure principal effectiveness within the ever-changing landscape of education. The objective of this study was to discover essential components of field experiences and internships provided by principal preparation programs that contributed most to principal effectiveness, increasing the likelihood public school districts hired principal candidates who were equipped with the skills necessary to step into the position with minimal on-the-job training. A total of 23 novice principals across three target states comprised the full sample. Whereas 3 participants from the full sample, one per target state, constituted the subgroup. The mixed methods study comprises two parts: a quantitative survey followed by qualitative interviews and observations of a subgroup. The quantitative survey data were analyzed using Qualtrics frequency distribution and descriptive statistics reports. Additionally, the qualitative interview data were analyzed utilizing open coding and observation data via sorting. Lastly, a cross-case analysis of the collective case study data was employed. The highest ranked essential element per domain included using data to inform instruction; developing a safe school environment; developing relationships with students; working with the local community; and managing school schedules. In conclusion, by providing a roadmap of such essential elements of principal preparation fieldwork, principal preparation programs will be more likely to design and implement domain-specific contextualized experiences that produce principal candidates who are equipped with the skills necessary to step into the campus leadership position with minimal on-the-job training

    Composition with complex data : a contribution on the mapping problem through practice-based research

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    Composition with complex data is a field of computer music composition/interactive art that uses extra-musical data from various sources like stock exchange data, weather data or seismic data. Despite the fascination that one can have in his exciting field of composition, there is still a lack of data management applications for artistic use. Hence, one is generally forced to create one’s own applications, at the expense of the time that should be spent in the artistic side of the work. As the technology can be part of the work but never the sole constituent, we decided to develop a toolbox, DataScapR, which allows artists to work easily with data, helping them in focusing on the artistic side. This toolbox will help the user to quickly advance beyond the technical development and focus on the artistic side of the project. This project consists of four components: a theoretical framework for sonification art, a state of the art and discussion on mapping techniques, the development of a sonification toolbox for composers who wish to use complex data (more specifically stock market data) as the source material for their music and a series of works as case studies to show the capabilities of the toolbox. Bringing theory and practice, art and technology together, this project can be seen as a practice-based one embedded within a theoretical framework.Nesta dissertação, abordo o tema da sonificação em contexto artístico. Sonificação, a tradução de dados en sons, é um largo campo de investigação e existe todo o interesse na exploração deste domínio num contexto artístico. Esse projecto visa contribuir para a criação de um ramo teórico para a arte da sonificação e, em simultâneo, apresentar uma aplicação que facilite o uso de sonificação em contexto artístico. Com efeito, actualmente, existem poucas aplicações que permitam usar sonificação na composição musical de uma forma acessível. Por esta razão, um compositor pode ter que aplicar um tempo considerável no desenvolvimento de uma aplicação própria o que muitas vezes, pode ter um efeito prejudicial na criação da obra em si. Se o compositor tem que aplicar demasiado tempo no desenvolvimento tecnológico pode correr o risco de considerar a aplicação como sendo a obra em si, o que não é o caso: pode ser uma parte mas nunca a obra. Para combater o pequeno leque de aplicações acessíveis criei uma caixa de ferramentas, DataScapR, desenvolvido em Max, e disponibilizada para o público em geral. DataScapR é um projecto aberto: o utilizador pode estendê-lo livremente e adaptá-lo às suas necessidades. Todos os patches são comentados extensivamente para facilitar a sua edição e extensão. O uso prático de DataScapR é exemplificado através de Através de estudos de caso demonstrando que a sonificação pode ser uma prática interessante integrada num contexto artístico. Nesse projecto de doutoramento foco um tipo de dados especifico: dados da bolsa das acções. Isso vem dum interesse pessoal e no dinamismo inerente à bolsa. Sempre considerei a bolsa fascinante e penso que pode ser interessante para usar os dados para sonificação. A dissertação consiste em quatro partes. A primeira parte aborda questões teóricos: procuramos uma definição de arte de sonificação e integramos essa prática no contexto da composição. Tratamos da questão da natureza e definição de dados e como eles podem ser aplicados na música. Depois de construída uma base teórica, descrevemos o estado da arte. Nesse segundo capítulo descrevemos obras que usam sonificação como componente importante da própria existência e discutimos os diferentes métodos de mapping. Seguidamente, discuto o software existente bem como a necessidade duma nova aplicação. No terceiro capítulo apresento DataScapR, um dos componentes práticos do doutoramento. DataScapR é uma caixa de ferramentas para sonificação de dados da bolsa de acções. Assim, apresento os três módulos que permitem usar dados em tempo real e dados históricos. Os métodos de mapping são explicados e a estrutura interna dos patches é apresentada. Finalmente, no quarto capítulo apresento as obras realizadas usando DataScapR: For A Fistful Of Data (flauta de bisel), 4D Brokers (instalação), Vapourwaves (instalação), Mirage (obra sobre suporte). Para cada caso, apresento a obra, discuto a sua estrutura, os mappings utilizados e as questões técnicas e termino com uma avaliação da obra. No final do capítulo concluo com uma avaliação geral das peças. Na discussão final realizo uma avaliação do trabalho feito e aponto direcções para trabalho futuro. A dissertação é da caixa de ferramentas DataScapR, de quatro estudos de caso e dois blogs: datascapr.wordpress.com onde o DataScapR está disponível e sonifcationart.wordpress.com onde discuto vários projectos de sonificação. Esse projecto de doutoramento mostra apenas uma das posições possíveis em arte de sonificação e, por esta razão, deve ser considerado como uma abertura para novos caminhos a explorar

    SPACED, Art Out of Place

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    The experiences of the Free University of Liverpool and the CyberMohalla project as examples of alternative educatio

    The Effects of Explicit Instruction with Dynamic Geometry Software for Secondary Students with ADHD/Learning Disabilities

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    The current study examined the effect of an instructional package on the ability of secondary students with mathematics difficulties to solve geometric similarity transformations. The instructional package includes a blend of research-based instructional practices including explicit instruction, the CRA sequence, and Dynamic Geometry Software. A multiple probe design across four participants was used to evaluate the intervention. The participants were four students with a history of mathematics difficulty in a suburban mid-Atlantic high school. Results of the study demonstrated that all four students improved their accuracy on geometric similarity transformations and maintained those skills four weeks after the completion of the intervention. Furthermore, providing multiple visual representations, including technology such as dynamic geometry software, as well as concrete manipulatives, allowed participants to make connections to geometric content and enhanced their metacognition, self-efficacy, and disposition toward geometry. This study supports the use of integrated instruction utilizing explicit instruction and visual representations for high school students with MD on grade-level geometry content

    HIV/AIDS, Security and Conflict: New Realities, New Responses

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    Ten years after the HIV/AIDS epidemic itself was identified as a threat to international peace and security, findings from the three-year AIDS, Security and Conflict Initiative (ASCI)(1) present evidence of the mutually reinforcing dynamics linking HIV/AIDS, conflict and security

    The acquisition of variable past-time expression in L2 Spanish: combining concept-oriented, form-oriented, and variationist research traditions within functionalism

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    The current dissertation contributes a comprehensive picture of the emergence and development of L2 Spanish past-time expression in a classroom setting (i.e., a large database corresponding to eight different proficiency levels from 1st semester to 7th/8th semester and a control group of near-native-speaker and native-speaker instructors). Such a comprehensive view was reached by the consideration of a plethora of past forms and the adoption of the most popular research traditions in the study of TA morphology: the concept-oriented, form-oriented, and the variationist research frameworks. According to the concept-oriented approach, our results showed that language complexity (i.e., embedding or syntactization) increased simultaneously with proficiency level, as did a number of non-morphological devices such as infinitive forms and verbal omission. The form-oriented approach in this dissertation yielded results that confirmed previous research: the present preceded the preterit as a default form, the preterit emerged as a default past form in the 1st semester prior to the imperfect, and both forms emerged and developed in combination with their prototypical meanings of perfectivity and imperfectivity, respectively. The other past forms (i.e., imperfect-progressive, preterit progressive, and the perfect) emerged after the preterit and imperfect but were minimally used even at higher levels, including the instructors’ group, confirming their status as peripheral gram types (Dahl, 1985). An analysis of formal accuracy indicated that both the present indicative and the preterit followed a U-shaped curve of development, with the 3rd and 4th semester levels exhibiting the highest rates of inaccurate well-formedness (e.g., overregularization, paradigm overgeneralization, etc.), whereas the imperfect showed a decreasing trend toward fewer formal errors. Lastly, the results pertaining to the variationist approach indicated that acquisition of past morphology is driven by multiple factors (i.e., lexical aspect, discourse grounding, adverbial modification, aspectual meaning, temporal reference, text type, and frequency), which have an increasing effect with increasing proficiency. Specifically, the results of mixed-effects binomial logistic regressions showed that as the learners’ verbal systems reorganized and restructured, past form usage rates became more native-like and past forms were increasingly predicted by a larger number of significant factors
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