178,713 research outputs found

    Factors influencing KOOS scales.

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    <p>Summary of multiple regression analysis showing potential factors influencing self reported KOOS values (N = 621). Rows contain separate analyses. Unstandardized regression coefficients and their Standard Errors (within brackets) are reported.</p><p>***p≤0.001. adj. R<sup>2</sup> is the adjusted coefficient of determination. The Durbin-Watson statistics is also reported (independence of residuals).</p><p>Factors influencing KOOS scales.</p

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Skill assessment of Korea operational oceanographic system (KOOS)

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    For the ocean forecast system in Korea, the Korea operational oceanographic system (KOOS) has been developed and pre-operated since 2009 by the Korea institute of ocean science and technology (KIOST) funded by the Korean government. KOOS provides real time information and forecasts for marine environmental conditions in order to support all kinds of activities in the sea. Furthermore, more significant purpose of the KOOS information is to response and support to maritime problems and accidents such as oil spill, red-tide, shipwreck, extraordinary wave, coastal inundation and so on. Accordingly, it is essential to evaluate prediction accuracy and efforts to improve accuracy. The forecast accuracy should meet orexceed target benchmarks before its products are approved for release to the public. In this paper, we conduct error quantification of the forecasts using skill assessment technique for judgement of the KOOS performance. Skill assessmentstatistics includes the measures of errors and correlations such as root-mean-square-error (RMSE), mean bias (MB), correlation coefficient (R), and index of agreement (IOA) and the frequency with which errors lie within specified limits termed the central frequency (CF).ovides real time information and forecasts for marine environmental conditions in order to support all kinds of activities in the sea. Furthermore, more significant purpose of the KOOS information is to response and support to maritime problems and accidents such as oil spill, red-tide, shipwreck, extraordinary wave, coastal inundation and so on. Accordingly, it is essential to evaluate prediction accuracy and efforts to improve accuracy. The forecast accuracy should meet orexceed target benchmarks before its products are approved for release to the public. In this paper, we conduct error quantification of the forecasts using skill assessment technique for judgement of the KOOS performance. Skill assessmentstatistics includes the measures of errors and correlations such as root-mean-square-error (RMSE), mean bias (MB), correlation coefficient (R), and index of agreement (IOA) and the frequency with which errors lie within specified limits termed the central frequency (CF).1

    The patellofemoral pain and osteoarthritis subscale of the KOOS (KOOS-PF): Development and validation using the COSMIN checklist

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    Background Patellofemoral pain and osteoarthritis are prevalent and associated with substantial pain and functional impairments. Patient-reported outcome measures (PROMs) are recommended for research and clinical use, but no PROMs are specific for patellofemoral osteoarthritis, and existing PROMs for patellofemoral pain have methodological limitations. This study aimed to develop a new subscale of the Knee injury and Osteoarthritis Outcome Score for patellofemoral pain and osteoarthritis (KOOS-PF), and evaluate its measurement properties. Methods Items were generated using input from 50 patients with patellofemoral pain and/or osteoarthritis and 14 health and medical clinicians. Item reduction was performed using data from patellofemoral cohorts (n=138). We used the COnsesus-based Standards for the selection of health Measurements INstruments guidelines to evaluate reliability, validity, responsiveness and interpretability of the final version of KOOS-PF and other KOOS subscales. Results From an initial 80 generated items, the final subscale included 11 items. KOOS-PF items loaded predominantly on one factor, pain during activities that load the patellofemoral joint. KOOS-PF had good internal consistency (Cronbach's α 0.86) and adequate test-retest reliability (intraclass correlation coefficient 0.86). Hypothesis testing supported convergent, divergent and known-groups validity. Responsiveness was confirmed, with KOOS-PF demonstrating a moderate correlation with Global Rating of Change scores (r 0.52) and large effect size (Cohen's d 0.89). Minimal detectable change was 2.3 (groups) and 16 (individuals), while minimal important change was 16.4. There were no floor or ceiling effects. Conclusions The 11-item KOOS-PF, developed in consultation with patients and clinicians, demonstrated adequate measurement properties, and is recommended for clinical and research use in patients with patellofemoral pain and osteoarthritis

    Skill assessment of Korea operational oceanographic system (KOOS)

    No full text
    For the ocean forecast system in Korea, the Korea operational oceanographic system (KOOS) has been developed and pre-operated since 2009 by the Korea institute of ocean science and technology (KIOST) funded by the Korean government. KOOS provides real time information and forecasts for marine environmental conditions in order to support all kinds of activities in the sea. Furthermore, more significant purpose of the KOOS information is to response and support to maritime problems and accidents such as oil spill, red-tide, shipwreck, extraordinary wave, coastal inundation and so on. Accordingly, it is essential to evaluate prediction accuracy and efforts to improve accuracy. The forecast accuracy should meet or exceed target benchmarks before its products are approved for release to the public. In this paper, we conduct error quantification of the forecasts using skill assessment technique for judgement of the KOOS performance. Skill assessment statistics includes the measures of errors and correlations such as root-mean-square-error (RMSE), mean bias (MB), correlation coefficient (R), and index of agreement (IOA) and the frequency with which errors lie within specified limits termed the central frequency (CF).ovides real time information and forecasts for marine environmental conditions in order to support all kinds of activities in the sea. Furthermore, more significant purpose of the KOOS information is to response and support to maritime problems and accidents such as oil spill, red-tide, shipwreck, extraordinary wave, coastal inundation and so on. Accordingly, it is essential to evaluate prediction accuracy and efforts to improve accuracy. The forecast accuracy should meet or exceed target benchmarks before its products are approved for release to the public. In this paper, we conduct error quantification of the forecasts using skill assessment technique for judgement of the KOOS performance. Skill assessment statistics includes the measures of errors and correlations such as root-mean-square-error (RMSE), mean bias (MB), correlation coefficient (R), and index of agreement (IOA) and the frequency with which errors lie within specified limits termed the central frequency (CF).1

    A Study of the Teaching Load of Two Hundred Thirty-Six Minnesota High School Teachers

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    University of Minnesota Masters thesis. June 1920. Major: Education. Advisor: Dr. Leonard V. Koos, Dr. R. W. Sies, Dr. M. R. Van Wagenen, Dr. Lotus D. Coffman. 1 computer file (PDF); 142 pages.Koos, Frank H.. (1920). A Study of the Teaching Load of Two Hundred Thirty-Six Minnesota High School Teachers. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/179483

    Skill assessment of Korea operational oceanographic system (KOOS)

    No full text
    For the ocean forecast system in Korea, the Korea operational oceanographic system (KOOS) has been developed and pre-operated since 2009 by the Korea institute of ocean science and technology (KIOST) funded by the Korean government. KOOS provides real time information and forecasts for marine environmental conditions in order to support all kinds of activities in the sea. Furthermore, more significant purpose of the KOOS information is to response and support to maritime problems and accidents such as oil spill, red-tide, shipwreck, extraordinary wave, coastal inundation and so on. Accordingly, it is essential to evaluate prediction accuracy and efforts to improve accuracy. The forecast accuracy should meet or exceed target benchmarks before its products are approved for release to the public. In this paper, we conduct error quantification of the forecasts using skill assessment technique for judgement of the KOOS performance. Skill assessment statistics includes the measures of errors and correlations such as root-mean-square-error (RMSE), mean bias (MB), correlation coefficient (R), and index of agreement (IOA) and the frequency with which errors lie within specified limits termed the central frequency (CF). The KOOS provides 72-hour daily forecast data such as air pressure, wind, water elevation, currents, wave, water temperature, and salinity produced by meteorological and hydrodynamic numerical models of WRFovides real time information and forecasts for marine environmental conditions in order to support all kinds of activities in the sea. Furthermore, more significant purpose of the KOOS information is to response and support to maritime problems and accidents such as oil spill, red-tide, shipwreck, extraordinary wave, coastal inundation and so on. Accordingly, it is essential to evaluate prediction accuracy and efforts to improve accuracy. The forecast accuracy should meet or exceed target benchmarks before its products are approved for release to the public. In this paper, we conduct error quantification of the forecasts using skill assessment technique for judgement of the KOOS performance. Skill assessment statistics includes the measures of errors and correlations such as root-mean-square-error (RMSE), mean bias (MB), correlation coefficient (R), and index of agreement (IOA) and the frequency with which errors lie within specified limits termed the central frequency (CF). The KOOS provides 72-hour daily forecast data such as air pressure, wind, water elevation, currents, wave, water temperature, and salinity produced by meteorological and hydrodynamic numerical models of WRF1

    Hubungan Antara Penilaian Subjektif KOOS ( Knee Injury And Osteoarthritis Outcome Score) dengan Penialaian Objektif Pada Pasien Osteoartritis Lutut di RSUP H.Adam Malik Medan dan RSU Pirngadi Medan

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    Osteoarthritis is a condition that is often found in orthopedic cases. KOOS is a questionnaire to assess patient opinions about knee problems. 6-WMT is a simple clinical outcome measurement tool. This study aimed to discuss the relationship between subjective reference using KOOS questionnaire with objective reference using 6-WMT. Material and Method This was a clinical trials study with cross-sectional design. The study was conducted at the Department of Surgery in the Division of Orthopedic Surgery at Haji Adam Malik Hospital in Medan and Pirngadi General Hospital in Medan. The sample of this study were all patients diagnosed with knee osteoarthritis from January to April 2019 who met the inclusion and exclusion criteria. The type of data collected in this study were primary data from questionnaires and secondary data obtained from medical records. Statistical analysis were carried out using the Pearson test using a significance level of 0.05 (α = 5%). Results A total of 53 samples were included in this study, consisted of 25 male patients (47.2%) and 28 female patients (52.8%). Age had a stronger correlation than the sports & recreation KOOS subscale (r = -0.475) and the weakest correlation with the KOOS subscales QoL (r = -0.384). While body weight and BMI had stronger correlation with the KOOS QoL subscale r = -0.499 and -0.419. In addition, body weight and BMI had the weakest correlation to ADL subscales, namely r = -0.371 and r = -0.281. For the 6-MWT parameter, a slightly higher positive correlation was seen in the sports & recreation KOOS subscale (r = 0.491); As for the pain subscale r = 0.382; symptoms of r = 0.402; ADL r = 0.432; and the last was the QoL subscale with r = 0.407. Conclusion There was a negative relationship of the KOOS subscale on age, body weight, and body mass index. While the positive correlations were found on the KOOS subscale of the 6-MWT. While for the height, no correlation was found with the subscale of KOOS.Osteoartritis adalah kondisi yang sering ditemui pada kasus ortopedi. KOOS adalah kuesioner untuk menilai pendapat subjektif pasien tentang masalah lutut. 6- WMT merupakan alat ukur hasil klinis yang sederhana. Penelitian ini bertujuan untuk meneliti hubungan antara penilaian subyektif menggunakan kuesioner KOOS dengan penilaian objektif menggunakan 6-WMT. Material dan Metode Jenis penelitian yang digunakan adalah penelitian analitik cross-sectional menggunakan uji korelasi. Penelitian dilakukan di Departemen Bedah Divisi Bedah Orthopaedi RSUP Haji Adam Malik Medan dan RSU Pirngadi Medan. Sampel penelitian ini adalah semua penderita osteoarthritis lutut mulai Januari sampai April 2019 yang memenuhi kriteria inklusi yang ditetapkan peneliti. Jenis data yang dikumpulkan dalam penelitian ini adalah data primer dari kuesioner dan data sekunder yang diperoleh dari rekam medik. Uji hipotesis dilakukan dengan menggunakan uji statistic Pearson dengan menggunakan tingkat kemaknaan 0,05 (α = 5%). Hasil Selama kurun waktu penelitian dijumpai sebanyak 53 sampel, dimana 25 pasien merupakan pasien laki-laki (47,2%) dan 28 adalah pasien perempuan (52,8%). Usia memiliki hubungan yang cenderung lebih kuat terhadap KOOS subskala sports & recreation (r= -0,475) dan korelasi terlemah dengan KOOS subskala QoL (r= -0,384). Sedangkan berat badan dan IMT memiliki korelasi yang lebih kuat terhadap KOOS subskala QoL secara berturut-turut r= -0,499 dan -0,419. Selain itu, berat badan dan IMT memiliki korelasi terlemah dengan subskala ADL yaitu r= -0,371 dan r= -0,281. Untuk parameter 6-MWT, terlihat korelasi positif yang sedikit lebih tinggi pada subskala KOOS sports & recreation (r=0,491); sedangkan untuk subskala pain r= 0,382; symptom r= 0,402; ADL r= 0,432; dan yang terakhir adalah subskala QoL dengan r= 0,407. Kesimpulan Terdapat hubungan korelasi negatif dari subskala KOOS terhadap usia, berat badan, dan indeks massa tubuh. Sedangkan korelasi yang positif ditemukan pada subskala KOOS terhadap 6-MWT. Sedangkan untuk tinggi badan, tidak ditemukan korelasi terhadap subskala dari KOOS.78 halamanTesis Magiste

    Die struktuur van die tekskode: die strukturele organisasie van 'Die jonkmanskas' van Koos Prinsloo

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    A unique quality of literature is that the text system is not just an instrument for conveying a literary message; the structure of the system is in itself meaningful. This article will closely examine the structural organisation and the functional significance of Koos Prinsloo’s short story “Die Jonkmanskas” . “Die jonkmanskas” is a story with a complex structure, written in the postmodernist idiom, and originated from three distinct stories. These embedded stories simultaneously work as commentaries, parodies and corrective devices, so that the ultimate interpretation of “Die jonkmanskas” is also determined through its structural code. An important aspect of this short story, which is highlighted by the structural code, is the interaction between the author’s text, the narrator’s text and the character’s text. In this [pseudo] autobiography the distinction between the actual author, the abstract author and the narrator is gradually erased, because time and again the narrator changes his role from character to narrator to author

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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