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Influence Of Quality Of Work Life Towards Psychological Well-Being And Turnover Intention Of Nurses And Midwives In Hospital, Indra Wahju Hardjanti, Aryo Dewanto, Noermijati Noermijati 2017 Master of Hospital Management Study Program, Faculty of Medicine, Brawijaya University, Malang

Influence Of Quality Of Work Life Towards Psychological Well-Being And Turnover Intention Of Nurses And Midwives In Hospital, Indra Wahju Hardjanti, Aryo Dewanto, Noermijati Noermijati

Kesmas

Selama ini perawat telah dilatih untuk memberikan perawatan pasien dan meningkatkan kualitas hidup pasien, namun kualitas kehidupan kerja dan psychological well-being mereka sendiri terabaikan. Rendahnya kualitas kehidupan kerja perawat di rumah sakit menyebabkan tingginya keinginan pindah kerja perawat. Tingginya angka keinginan pindah kerja perawat dan bidan di Rumah Sakit X Malang merupakan masalah yang memerlukan perhatian dari manajemen rumah sakit agar tidak menjadi menyebabkan rendahnya mutu pelayanan kesehatan di rumah sakit. Penelitian ini bertujuan untuk mengetahui hubungan antara kualitas kehidupan kerja, psychological well-being, dan keinginan pindah kerja perawat dan bidan di rumah sakit. Penelitian ini menggunakan desain penelitian kuantitatif korelasional …


Risk Differences Between Elderly Men And Women Toward Doctor-Diagnosed Diabetes Mellitus In Urban Areas In Indonesia: 2013 National Basic Health Research Data, Meiwita Budiharsana 2017 Department of Biostatistics and Population Studies Department, Faculty of Public Health Universitas Indonesia, Depok

Risk Differences Between Elderly Men And Women Toward Doctor-Diagnosed Diabetes Mellitus In Urban Areas In Indonesia: 2013 National Basic Health Research Data, Meiwita Budiharsana

Kesmas

Diabetes melitus (DM) adalah salah satu penyakit tidak menular yang paling umum di Indonesia. DM disebabkan berbagai faktor risiko. Peningkatan prevalensi DM salah satunya disebabkan oleh perubahan gaya hidup di perkotaan. Penelitian ini bertujuan untuk menguji perbedaan prevalensi DM yang didiagnosis dokter pada laki-laki dan perempuan usia 15 tahun keatas yang tinggal di daerah perkotaan di Indonesia. Analisis menggunakan data sekunder Riset Kesehatan Dasar (Riskesdas) 2013 dengan desain studi potong lintang. Total sampel sebanyak 333.731 responden. Metode analisis menggunakan regresi logistik ganda. Hasil menunjukkan bahwa DM yang didiagnosis dokter pada laki-laki dan perempuan usia 15-39 tahun di perkotaan tidak berbeda. …


Bancroftian Filariasis Transmission Parameters After The Fifth Year Of Filiariasis Mass Drug Administration In Pekalongan City, Tutik Ida Rosanti, Sugeng Juwono Mardihusodo, Wayan Artama 2017 Medical and Health Faculty of Medicine, Gadjah Mada University, Yogyakarta

Bancroftian Filariasis Transmission Parameters After The Fifth Year Of Filiariasis Mass Drug Administration In Pekalongan City, Tutik Ida Rosanti, Sugeng Juwono Mardihusodo, Wayan Artama

Kesmas

Penelitian ini bertujuan untuk mengukur parameter parasitologi (microfilaria rate, kepadatan mikrofilaria), parameter imunologi (antigen prevalence) dan parameter entomologi (infection rate dan infective rate) pada tahun kelima pelaksanaan mass drug administration di Kelurahan Pabean Kota Pekalongan. Penelitian ini merupakan penelitian observasional dengan pendekatan potong lintang yang dilaksanakan pada bulan Juli sampai dengan Agustus 2015 di Kelurahan Pabean Kota Pekalongan. Microfilaria rate dan kepadatan mikrofilaria ditentukan dengan pemeriksaan darah jari pada 313 responden. Antigen prevalence ditentukan dengan mengukur antigen beredar menggunakan metode immunochromatographic test (ICT) Wuchereria bancrofti. Incective rate dan infection rate diukur dengan cara menemukan larva cacing filaria pada nyamuk hasil …


Influence Of Scaling Up Nutrition Education Towards Knowledge And Attitude Of Students At Santa Elisabeth Medan School Of Health Sciences, Rani Gartika Holivia Silalahi, Yesschi Anggraeni Tambunan 2017 Santa Elisabeth Medan School of Health Sciences, North Sumatera

Influence Of Scaling Up Nutrition Education Towards Knowledge And Attitude Of Students At Santa Elisabeth Medan School Of Health Sciences, Rani Gartika Holivia Silalahi, Yesschi Anggraeni Tambunan

Kesmas

Tingginya angka pernikahan pada usia remaja yang disertai dengan rendahnya pengetahuan tentang pola asuh merupakan salah satu pemicu terjadinya masalah gizi. Remaja merupakan orang tua masa depan. Tujuan penelitian ini untuk mengetahui pengaruh pendidikan 1.000 hari pertama kehidupan terhadap pengetahuan dan sikap mahasiswi Sekolah Tinggi Ilmu Kesehatan Santa Elisabeth Medan tahun 2016. Penelitian ini menggunakan kuasi eksperimental dengan desain one group pre- dan post test. Metode pengambilan sampel dengan metode purposive sampling sebanyak 115 mahasiswi tingkat III program studi Diploma III Kebidanan. Pendidikan dilakukan di kelas sebanyak 4 kali dalam 2 minggu dengan menggunakan metode mengajar dan diskusi. Penelitian ini …


The Profile And Determinant Factors Of Quality Of Life In Patients With Diabetic Neuropathy, Rizaldy Taslim Pinzon, Kadek Sinthia Grahita Adnyana, Marta Lisnawati Zalukhu 2017 Faculty of Medicine Duta Wacana Christian University/Bethesda Hospital, Yogyakarta

The Profile And Determinant Factors Of Quality Of Life In Patients With Diabetic Neuropathy, Rizaldy Taslim Pinzon, Kadek Sinthia Grahita Adnyana, Marta Lisnawati Zalukhu

Kesmas

Neuropati merupakan salah satu komplikasi tersering pada diabetes melitus (DM). Neuropati dapat memengaruhi kualitas hidup, derajat kesehatan, maupun tingkat ekonomi. Oleh karena itu, penting untuk mengetahui kualitas hidup pasien DM dengan neuropati beserta dampak yang ditimbulkannya terlebih dahulu agar mendapatkan penanganan yang tepat demi meningkatkan kualitas hidup pasien. Penelitian ini bertujuan untuk mengetahui profil kualitas hidup pasien DM dengan neuropati. Penelitian ini merupakan studi observasional menggunakan Short Form 8 (SF-8) Health Survey Standard Indonesia terhadap pasien diabetes melitus dengan neuropati yang diambil secara konsekutif pada bulan Maret hingga Agustus 2016 di Poli Saraf Rumah Sakit Bethesda, Yogyakarta. Terdapat 57 subjek …


Effects Of Contraceptive Use On Productivity Of Women Labor At Pt. Bomar Makassar Industrial Area, Masni Mappajanci, Andi Misnawati, Darmawansyah Darmawansyah 2017 Reproductive and Family Health Consentration Graduate Programme, Faculty of Public Health, Hasanuddin University, Makassar

Effects Of Contraceptive Use On Productivity Of Women Labor At Pt. Bomar Makassar Industrial Area, Masni Mappajanci, Andi Misnawati, Darmawansyah Darmawansyah

Kesmas

Produktivitas kerja potensial pada kelangsungan hidup perusahaan. Penggunaan kontrasepsi dapat memengaruhi fisiologi setiap perempuan, sehingga dapat memengaruhi aktivitas sehari-hari dan akan berdampak terhadap produktivitas tenaga kerja. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan alat kontrasepsi terhadap produktivitas tenaga kerja perempuan dengan mengontrol usia, pendidikan dan motivasi kerja. Penelitian dengan rancangan potong lintang melibatkan 71 pekerja perempuan PT Bomar Makassar yang telah menikah. Pengumpulan data dilakukan dengan wawancara menggunakan kuesioner pada bulan Mei sampai Juni 2015, kemudian dianalisis secara univariat, bivariat, dan multivariat. Hasil penelitian menunjukkan bahwa terdapat pengaruh penggunaan alat kontrasepsi terhadap produktivitas kerja setelah dikontrol dengan variabel usia (nilai …


Nonparametric Variable Importance Assessment Using Machine Learning Techniques, Brian D. Williamson, Peter B. Gilbert, Noah Simon, Marco Carone 2017 Department of Biostatistics, University of Washington

Nonparametric Variable Importance Assessment Using Machine Learning Techniques, Brian D. Williamson, Peter B. Gilbert, Noah Simon, Marco Carone

UW Biostatistics Working Paper Series

In a regression setting, it is often of interest to quantify the importance of various features in predicting the response. Commonly, the variable importance measure used is determined by the regression technique employed. For this reason, practitioners often only resort to one of a few regression techniques for which a variable importance measure is naturally defined. Unfortunately, these regression techniques are often sub-optimal for predicting response. Additionally, because the variable importance measures native to different regression techniques generally have a different interpretation, comparisons across techniques can be difficult. In this work, we study a novel variable importance measure that can …


Models And Policies Of Port Carbon Emission Reduction : A Case Study Of The Port Of Dalian, Jiaqiong Zhao 2017 World Maritime University

Models And Policies Of Port Carbon Emission Reduction : A Case Study Of The Port Of Dalian, Jiaqiong Zhao

World Maritime University Dissertations

No abstract provided.


Estimation Of Exposure Distribution Adjusting For Association Between Exposure Level And Detection Limit, Yuchen Yang, Brent J. Shelton, Thomas Tucker, Li Li, Richard Kryscio, Li Chen 2017 University of Kentucky

Estimation Of Exposure Distribution Adjusting For Association Between Exposure Level And Detection Limit, Yuchen Yang, Brent J. Shelton, Thomas Tucker, Li Li, Richard Kryscio, Li Chen

Statistics Faculty Publications

In environmental exposure studies, it is common to observe a portion of exposure measurements to fall below experimentally determined detection limits (DLs). The reverse Kaplan–Meier estimator, which mimics the well‐known Kaplan–Meier estimator for right‐censored survival data with the scale reversed, has been recommended for estimating the exposure distribution for the data subject to DLs because it does not require any distributional assumption. However, the reverse Kaplan–Meier estimator requires the independence assumption between the exposure level and DL and can lead to biased results when this assumption is violated. We propose a kernel‐smoothed nonparametric estimator for the exposure distribution without imposing …


Examination And Comparison Of The Performance Of Common Non-Parametric And Robust Regression Models, Gregory F. Malek 2017 Stephen F Austin State University

Examination And Comparison Of The Performance Of Common Non-Parametric And Robust Regression Models, Gregory F. Malek

Electronic Theses and Dissertations

ABSTRACT

Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models

By

Gregory Frank Malek

Stephen F. Austin State University, Masters in Statistics Program,

Nacogdoches, Texas, U.S.A.

[email protected]

This work investigated common alternatives to the least-squares regression method in the presence of non-normally distributed errors. An initial literature review identified a variety of alternative methods, including Theil Regression, Wilcoxon Regression, Iteratively Re-Weighted Least Squares, Bounded-Influence Regression, and Bootstrapping methods. These methods were evaluated using a simple simulated example data set, as well as various real data sets, including math proficiency data, Belgian telephone call data, and faculty …


Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi 2017 Tennessee State University

Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi

Mechanical and Manufacturing Engineering Faculty Research

The Computation and Modeling Engineering Laboratory (CaMEL), an implicit solver-based storm surge model, has been extended for use on high performance computing platforms. An MPI (Message Passing Interface) based parallel version of CaMEL has been developed from the previously existing serial version. CaMEL uses hybrid finite element and finite volume techniques to solve shallow water conservation equations in either a Cartesian or a spherical coordinate system and includes hurricane-induced wind stress and pressure, bottom friction, the Coriolis effect, and tidal forcing. Both semi-implicit and fully-implicit time stepping formulations are available. Once the parallel implementation is properly validated, CaMEL is evaluated …


The Relationship Of Plasma Trans Fatty Acids With Dietary Inflammatory Index Among Us Adults, Mohsen Mazidi, Hong-kai Gao, Nitin Shivappa, Michael David Wirth, James R. Hébert, Andre Pascal Kengne 2017 University of South Carolina

The Relationship Of Plasma Trans Fatty Acids With Dietary Inflammatory Index Among Us Adults, Mohsen Mazidi, Hong-Kai Gao, Nitin Shivappa, Michael David Wirth, James R. Hébert, Andre Pascal Kengne

Faculty Publications

Background: It has been suggested that trans fatty acids (TFAs) play an important role in cardiovascular diseases. We investigated the association between plasma TFAs and the dietary inflammatory index (DII) ™ in US adults.

Methods: National Health and Nutrition Examination Survey (NHANES) participants with data on plasma TFAs measured from 1999 to 2010 were included. Energy-adjusted-DII ™ (E-DII ™) expressed per 1000 kcal was calculated from 24-h dietary recalls. All statistical analyses accounted for the survey design and sample weights.

Results: Of the 5446 eligible participants, 46.8% (n = 2550) were men. The mean age of the population was 47.1 …


Anomalydetection: Implementation Of Augmented Network Log Anomaly Detection Procedures, Robert J. Gutierrez, Bradley C. Boehmke, Kenneth W. Bauer, Cade M. Saie, Trevor J. Bihl 2017 Air Force Institute of Technology

Anomalydetection: Implementation Of Augmented Network Log Anomaly Detection Procedures, Robert J. Gutierrez, Bradley C. Boehmke, Kenneth W. Bauer, Cade M. Saie, Trevor J. Bihl

Faculty Publications

As the number of cyber-attacks continues to grow on a daily basis, so does the delay in threat detection. For instance, in 2015, the Office of Personnel Management discovered that approximately 21.5 million individual records of Federal employees and contractors had been stolen. On average, the time between an attack and its discovery is more than 200 days. In the case of the OPM breach, the attack had been going on for almost a year. Currently, cyber analysts inspect numerous potential incidents on a daily basis, but have neither the time nor the resources available to perform such a task. …


Improving The Accuracy For The Long-Term Hydrologic Impact Assessment (L-Thia) Model, Anqi Zhang, Lawrence Theller, Bernard A. Engel 2017 Purdue University

Improving The Accuracy For The Long-Term Hydrologic Impact Assessment (L-Thia) Model, Anqi Zhang, Lawrence Theller, Bernard A. Engel

The Summer Undergraduate Research Fellowship (SURF) Symposium

Urbanization increases runoff by changing land use types from less impervious to impervious covers. Improving the accuracy of a runoff assessment model, the Long-Term Hydrologic Impact Assessment (L-THIA) Model, can help us to better evaluate the potential uses of Low Impact Development (LID) practices aimed at reducing runoff, as well as to identify appropriate runoff and water quality mitigation methods. Several versions of the model have been built over time, and inconsistencies have been introduced between the models. To improve the accuracy and consistency of the model, the equations and parameters (primarily curve numbers in the case of this model) …


Hazard Assessment Of Meteoroid Impact For The Design Of Lunar Habitats, Herta Paola Montoya, Shirley Dyke, Julio A. Ramirez, Antonio Bobet, H. Jay Melosh, Daniel Gomez 2017 Purdue University

Hazard Assessment Of Meteoroid Impact For The Design Of Lunar Habitats, Herta Paola Montoya, Shirley Dyke, Julio A. Ramirez, Antonio Bobet, H. Jay Melosh, Daniel Gomez

The Summer Undergraduate Research Fellowship (SURF) Symposium

The design of self-sustaining lunar habitats is a challenge primarily due to the Moon’s lack of atmospheric protection and hazardous environment. To assure safe habitats that will lead to further lunar and space exploration, it is necessary to assess the different hazards faced on the Moon such as meteoroid impacts, extreme temperatures, and radiation. In particular, meteoroids pose a risk to lunar structures due to their high frequency of occurrence and hypervelocity impact. Continuous meteoroid impacts can harm structural elements and vital equipment compromising the well-being of lunar inhabitants. This study is focused on the hazard conceptualization and quantification of …


Thermodynamics Of Coherent Structures Near Phase Transitions, Julia M. Meyer, Ivan Christov 2017 Purdue University

Thermodynamics Of Coherent Structures Near Phase Transitions, Julia M. Meyer, Ivan Christov

The Summer Undergraduate Research Fellowship (SURF) Symposium

Phase transitions within large-scale systems may be modeled by nonlinear stochastic partial differential equations in which system dynamics are captured by appropriate potentials. Coherent structures in these systems evolve randomly through time; thus, statistical behavior of these fields is of greater interest than particular system realizations. The ability to simulate and predict phase transition behavior has many applications, from material behaviors (e.g., crystallographic phase transformations and coherent movement of granular materials) to traffic congestion. Past research focused on deriving solutions to the system probability density function (PDF), which is the ground-state wave function squared. Until recently, the extent to which …


Selection Of Breeding Stock By U.S. Meat Goat Producers, Narayan Nyaupane, Jeffrey Gillespie, Kenneth McMillin, Robert Harrison, Isaac Stienei 2017 Samuel Roberts Noble Foundation

Selection Of Breeding Stock By U.S. Meat Goat Producers, Narayan Nyaupane, Jeffrey Gillespie, Kenneth Mcmillin, Robert Harrison, Isaac Stienei

Community & Leadership Development Faculty Publications

Using nationwide survey data, we investigate U.S. meat goat producer preferences and willingness to pay for meat goat breeding stock attributes. Discrete choice experiments were employed, and mixed logit and latent class models were used for analysis. Results showed that producers preferred animals that were highly masculine/feminine, had good structure and soundness, and were of the Boer breed, whereas they preferred fewer animals that were older, of Kiko and Spanish breeds, and priced higher. Significant preference heterogeneity was found among the respondents. Larger-scale producers had greater preference for high masculinity/femininity, good structure and soundness, and Boer bucks.


Is It Legitimate Statistics Or Is It Sexism: Why Discrimination Is Not Rational, Martha Osegueda Escobar, Vladik Kreinovich, Thach N. Nguyen 2017 The University of Texas at El Paso

Is It Legitimate Statistics Or Is It Sexism: Why Discrimination Is Not Rational, Martha Osegueda Escobar, Vladik Kreinovich, Thach N. Nguyen

Departmental Technical Reports (CS)

While in the ideal world, everyone should have the same chance to succeed in a given profession, in reality, often the probability of success is different for people of different gender and/or ethnicity. For example, in the US, the probability of a female undergraduate student in computer science to get a PhD is lower than a similar probability for a male student. At first glance, it may seem that in such a situation, if we try to maximize our gain and we have a limited amount of resources, it is reasonable to concentrate on students with the higher probability of …


Supervised Classification Using Finite Mixture Copula, Sumen Sen, Norou Diawara 2017 Austin Peay State University

Supervised Classification Using Finite Mixture Copula, Sumen Sen, Norou Diawara

Mathematics & Statistics Faculty Publications

Use of copula for statistical classification is recent and gaining popularity. For example, statistical classification using copula has been proposed for automatic character recognition, medical diagnostic and most recently in data mining. Classical discrimination rules assume normality. But in this data age time, this assumption is often questionable. In fact features of data could be a mixture of discrete and continues random variables. In this paper, mixture copula densities are used to model class conditional distributions. Such types of densities are useful when the marginal densities of the vector of features are not normally distributed and are of a mixed …


A Linear-Linear Growth Model With Individual Change Point And Its Application To Ecls-K Data, Ping Zhang 2017 University of Arkansas, Fayetteville

A Linear-Linear Growth Model With Individual Change Point And Its Application To Ecls-K Data, Ping Zhang

Graduate Theses and Dissertations

The latent growth curve model with piecewise functions is a useful analytics tool to investigate the growth trajectory consisted of distinct phases of development in observed variables. An interesting feature of the growth trajectory is the time point that the trajectory changes from one phase to another one. In this thesis, we propose a simple computational pipeline to locate the change point under the linear-linear piecewise model and apply it to the longitudinal study of reading and math ability in early childhood (from kindergarten to eighth grade). In the first step, we conduct the hypothesis testing to filter out the …


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