2,269 research outputs found

    COLLATERAL BENEFITS OF DIABETES SELF-MANAGEMENT ASSOCIATED WITH SELF-ADMINISTERED OUTPATIENT PARENTERAL ANTIMICROBIAL THERAPY

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    Self-administered outpatient parenteral antimicrobial therapy (S-OPAT) is a self-care treatment modality in which patients requiring extended courses of intravenous antibiotics are trained to safely self-administer treatment via an indwelling catheter in their home. Many patients seen in the S-OPAT program have a diagnosis of diabetes and present with infections associated with poor glycemic control, including skin and soft-tissue infections and osteomyelitis. Given the degree of patient activation required to successfully complete the S-OPAT process, we hypothesized that participation in this self-care program may benefit patients in self-management of other chronic health conditions, such as diabetes. The study team included Anisha Ganguly (MPH candidate), Larry Brown (biostatistician), David Watkins, Dr. Kristin Alvarez, Dr. Deepak Agrawal, and Dr. Kavita Bhavan, founder and director of the Parkland S-OPAT clinic. We conducted a before-after retrospective analysis of diabetic patients receiving S-OPAT. HgbA1c, diabetes medication refill rates, and changes to diabetes medication regimen were compared in 6-month intervals prior to and following initiation of S-OPAT. A total number of 348 diabetic patients were identified, and 206 diabetic patients were included in the analysis. The mean HgbA1c decreased by 1.82 from the time period 6 months prior to and 6 months after initiation of S-OPAT (p \u3c 0.001). Subgroup analysis showed an additional significant reduction in HgbA1c among insulin users (p = 0.002). There were no differences in refill rates of diabetes medications or changes in medication regimen pre- and post-initiation of S-OPAT (p \u3e 0.05). Initiation of S-OPAT was associated with a significant reduction in HgbA1c among diabetic patients with similar findings among insulin users, a group requiring a higher level of self-care. The degree of patient engagement obtained through the S-OPAT model may have collateral benefits in improved self-management of other chronic diseases such as diabetes

    Consistent estimation of the risk-return tradeoff in the presence of measurement error

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    Prominent asset pricing models imply a linear, time-invariant relation between the equity premium and its conditional variance. We propose an approach to estimating this relation that overcomes some of the limitations of the existing literature. First, we do not require any functional form assumptions about the conditional moments. Second, the GMM approach is used to overcome the endogeneity problem inherent in the regression. Third, we correct for the measurement error arising because of using a proxy for the latent variance. The empirical findings reveal significant time-variation in the relation that coincide with structural break dates in the market-wide price-dividend rati

    Consistent estimation of the risk-return tradeoff in the presence of measurement error

    Get PDF
    Prominent asset pricing models imply a linear, time-invariant relation between the equity premium and its conditional variance. We propose an approach to estimating this relation that overcomes some of the limitations of the existing literature. First, we do not require any functional form assumptions about the conditional moments. Second, the GMM approach is used to overcome the endogeneity problem inherent in the regression. Third, we correct for the measurement error arising because of using a proxy for the latent variance. The empirical findings reveal significant time-variation in the relation that coincide with structural break dates in the market-wide price-dividend ratio.Bias-Correction, Measurement Error, Nonparametric Volatility, Return, Risk

    A Novel IoT-based Framework for Urine Infection Detection and Prediction using Ensemble Bagging Decision Tree Classifier

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    One of the most common conditions treated in adult primary care medicine is Urinary Tract Infection (UTI), which accounts for a sizeable portion of antibiotic prescriptions. A high degree of diagnostic accuracy is necessary because this issue is so prevalent and important in everyday clinical practice. Particularly in light of the rising prevalence of antibiotic resistance, excessive antibiotic prescriptions should be avoided. To examine the machine learning approach and Internet of Things (IoT) for urinary tract infections, this research proposes an Ensemble Bagging Decision Tree Classifier (EBDTC). In our study, to learn more about UTI, we conducted a study in which we collected the physiological data of 399 patients and preprocessed them using the min-max scalar normalization. Feature extraction using Principle Component Analysis (PCA) and classification using Ensemble Bagging Decision Tree Classifier (EBDTC). The performance outcomes of accuracy (96.25%), precision(96.22%), recall (98.07%), and f-1 measure(97.17%) demonstrate the proposed strategy's significantly improved performance in comparison to other baseline existing techniques

    Hubungan antara Motivasi Berprestasi dan Kebiasaan Belajar terhadap Hasil Belajar Siswa Kelas X SMK Negeri 50 Jakarta

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    ANISHA MUSTIKA. Relationship between Achievement Motivation and Study Habits to Learning Outcome of Students on The Subjects of Accounting, X Social Class in SMKN 50 Jakarta. Faculty of Economy State University of Jakarta. 2015. This research purpose is to find out the relationship between Achievement Motivation and Study Habits to learning outcome of students on the subjects of financial accounting, X Social class in SMKN 50 Jakarta. This type of research is survey, with quantitative approach. Data recording, interview and questionnaire are research technique. Total population in this study were 72 students with a sample of 58 students of X social class in SMKN50 Jakarta. The data analysis technique used was multiple linear regression, classic assumption test, and the hypothesis test consist of t-test and F-test. Based on the analysis of the data found that there was a partial effect between Achievement Motivation toward learning outcome. Can be seen from the results of data analysis showed t count greater than 2.004 ttable. Meanwhile, the partial use of Study Habits are affected 3,116 t count greater than 2,004ttable. Simultaneously there is relationship between Achievement Motivation and Study Habits to learning outcome. Can be seen from the results of data analysis showed F by learning outcome, it is seen from the results of data analysis showed t value of 25,626 is greater than the value of 3.18F table count . There was a significant positive relationship between Achievement Motivation and Study Habits to learning of students on the subjects of financial accounting with R for 0.695 and determination coefisien for (R) was 48%

    PENERAPAN MODIFIKASI MEDIA PEMBELAJARAN DALAM UPAYA MENINGKATKAN HASIL BELAJAR GERAK DASAR LOMPAT JAUH

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    Penelitian ini bertujuan untuk meneliti dengan menerapkan modifikasi media pembelajaran dapat meningkatkan hasil belajar gerak dasar lompat jauh pada siswa kelas IV SDN Cisitu. Metode penelitian yang akan digunakan dalam penelitian ini yaitu metode Penelitian Tindakan Kelas atau classroom action research. Dalam menggunakan dua siklus, setiap siklus terdiri dari dua tindakan. Subjek penelitian ini yang berjumlah 43 orang, terdiri dari 23 orang putri dan 20 orang putra. Instrumen yang digunakan untuk meningkatkan hasil belajar gerak dasar lompat jauh yaitu menerapkan variasi bentuk-bentuk tugas gerak dalam proses pembelajaran. Hasil penelitian menunjukan bahwa dengan penerapan modifikasi media pembelajaran dapat meningkatkan hasil belajar gerak dasar lompat jauh. Hasil peningkatan tersebut ditunjukan dari hasil rata-rata setiap siklusnya. Data awal adalah 45,06% dan siklus 1 tindakan 1 adalah 48,74%, siklus 1 tindakan 2 adalah 52,91%, sedangkan siklus 2 tindakan 1 adalah 57,99%, dan siklus 2 tindakan 2 adalah 72,92% sehingga apabila proses pembelajaran dilaksanakan dengan baik sesuai dengan rencana yang disusun sebelumnya maka akan memiliki hasil yang memuaskan seperti apa yang dilakukan penelitian ini. Berdasarkan hasil analisis data penelitian yang penulis teliti dapat disimpulkan bahwa dengan menerapkan modifikasi media pembelajaran dapat meningkatkan hasil belajar gerak dasar lompat jauh siswa kelas IV SDN Cisitu Kota Bandung. Kata Kunci : Gerak dasar lompat jauh This study aims to investigate the learning media by applying modifications to improve learning outcomes in the long jump motion base fourth grade students of SDN Cisitu. The research method used in this study is method of classroom action research. This method is using two cycles and in each cycle consisting of two actions. These subjects totaling 43 people, consisting of 23 gils and 20 boys. The instrument used to improve learning outcomes in long jump basic motion is applying variation forms of motion tasks in the learning process. The results showed that the application of instructional media modifications can improve learning outcomes of long jump basic motion. The results indicated an increase in the average of the results of each cycle. Preliminary data are 45.06% and cycle 1 action 1 is 48.74%, cycle 1 action 2 is 52.91%, while the 2 cycles of action 1 is 57.99%, and cycle 2 action 2 is 72.92%, so if learning process executed properly drawn up in accordance with the plan, therefore the result will be as satisfied as what this study does. Based on the results of data analysis which authors carefully study it can be concluded that with applying a modified instructional media can improve learning outcomes of long jump basic motion in fourth grade students af SDN Cisitu Bandung. Keywords: Basic Motion Long Jum

    Future of Functional Reactive Programming in Real-Time Systems

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    The evolution of programming paradigms and the development of new programming languages are driven by the needs of problem domains. Functional reactive programming (FRP) combines functional programming (FP) and reactive programming (RP) concepts that leverage asynchronous dataflow from reactive programming and higher-level abstractions building blocks from functional programming to enable developers to define data flows and transformations declaratively. Declarative programming allows developers to concentrate more on the problem to be solved rather than the implementation details, resulting in efficient and concise code. Over the years, various FRP designs have been proposed in real-time application areas. Still, it remains unclear how FRP-based solutions compare with traditional methods for implementing these applications. In this survey, we studied the usefulness of FRP in some real-time applications, such as game development, animation, graphical user interface(GUI), and embedded system. We conducted a qualitative comparison for game development and studied various applications in animation, GUI, and embedded systems. We found that using FRP in these applications is quite difficult because of insufficient libraries and tools. Additionally, due to high learning curves and a need for experienced developers, the development process in FRP takes time and effort. Our examination of two well-known games: Asteroid and Pong, in three programming paradigms: imperative programming using the Unity game engine, FP in Haskell, and FRP in the Yampa library, showed that imperative programming is effective in terms of performance and usability. The other two paradigms for developing games from scratch are inefficient and challenging. Despite the fact that FRP was designed for animation, the majority of its applications are underperforming. FRP is more successful for GUI applications, where libraries like RxJS have been used in many web interfaces. FRP is also applied in developing embedded system applications for its effective memory management, maintainability, and predictability. Developing efficient solutions from scratch is not suitable in FRP due to several factors, such as poor performance compared to other programming paradigms, programming complexity, and a steep learning curve. Instead, developers can be benefited from utilizing FRP-supported modular platforms to build robust and scalable real-time applications
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