Statistics and Probability Commons^™

An Animal-Assisted Intervention Study In The Nursing Home: Lessons Learned, Lonneke G. J. A. Schuurmans, Inge Noback, Jos M. G. A. Schols, Marie-Jose Enders-Slegers

People and Animals: The International Journal of Research and Practice

AAI studies in the nursing home pose a specific set of challenges. In this article the practical and ethical issues encountered during a Dutch psychogeriatric nursing home AAI study are addressed with the aim of sharing our experiences for future researchers as well as AAI practitioners in general.

In our study we compared three groups of clients with dementia who participated in group sessions of either visiting dog teams, visiting FurReal Friend robot animals, or visiting students (control group) and monitored the effect on social interaction and neuropsychiatric symptoms through video analysis and questionnaires. We encountered the following four categories …

Metformin Blunts Muscle Hypertrophy In Response To Progressive Resistance Exercise Training In Older Adults: A Randomized, Double‐Blind, Placebo‐Controlled, Multicenter Trial: The Masters Trial, R. Grace Walton, Cory M. Dungan, Douglas E. Long, S. Craig Tuggle, Kate Kosmac, Bailey D. Peck, Heather M. Bush, Alejandro G. Villasante Tezanos, Gerald Mcgwin, Samuel T. Windham, Fernando Ovalle, Marcas M. Bamman, Philip A. Kern, Charlotte A. Peterson

Center for Muscle Biology Faculty Publications

Progressive resistance exercise training (PRT) is the most effective known intervention for combating aging skeletal muscle atrophy. However, the hypertrophic response to PRT is variable, and this may be due to muscle inflammation susceptibility. Metformin reduces inflammation, so we hypothesized that metformin would augment the muscle response to PRT in healthy women and men aged 65 and older. In a randomized, double-blind trial, participants received 1,700 mg/day metformin (N = 46) or placebo (N = 48) throughout the study, and all subjects performed 14 weeks of supervised PRT. Although responses to PRT varied, placebo gained more lean body …

Probabilistic Modeling Of Democracy, Corruption, Hemophilia A And Prediabetes Data, A. K. M. Raquibul Bashar

USF Tampa Graduate Theses and Dissertations

Parametric analysis of any real-world data is the most powerful tool to characterize the probabilistic behavior in social, economic, medical, epidemiological, and other areas of study. In the present study, we identify the theoretical Probability Distribution Function(PDF) for Democracy Index Scores (DIS) from the Economist Intelligence Unit (EIU) database and estimate the maximum likelihood estimates of the theoretical PDFS. We also identify the individual PDFs for each of the clusters, Full Democracy, Flawed Democracy, Hybrid Regime, and Authoritarian Regime defined by the Economist Intelligence Unit (EIU).

A statistical model is a convenient instrument to predict the future value of any …

Generating Electromagnetic Schell-Model Sources Using Complex Screens With Spatially Varying Auto- And Cross-Correlation Functions, Milo W. Hyde Iv

Faculty Publications

We present a method to generate any physically realizable electromagnetic Schell-model source. Our technique can be directly implemented on existing vector-beam generators that utilize spatial light modulators for coherence control, beam shaping, and relative phasing. This work significantly extends published research on the subject, where control over the partially coherent source’s cross-spectral density matrix was limited. We begin by presenting the statistical optics theory necessary to derive and implement our method. We then apply our technique, both analytically and in simulation, to produce two electromagnetic Schell-model sources from the literature. We demonstrate control over the full cross-spectral density matrices of …

Utilization Of Statistics For Provision Of Business Information: Implementation Of Α-Sutte Indicator On Provision Of Stock Movement Prediction Information, Nuning Kurniasih, Ansari Saleh Ahmar, Nanik Kurniawati

Library Philosophy and Practice (e-journal)

The Current information services are dealing with big data that is freely accessible. Companies providing information services and products need to develop creativity and innovation to maintain their existence. In this paper, we offer that information specialist can add value to information. The added value is given through an analysis of information that is relevant to user needs. The Research and Development Method can be used to develop a framework for service information products and services, and bridge the gap between the theories studied in higher education and the needs of the industry. α-Sutte Indicator can be used to predict …

Student Insights Report, Fall 2019, The Center For Student Analytics

Publications

For the past three years, the staff of the Center for Student Analytics have worked to discover and expose meaningful, data-informed insights into what helps students succeed at Utah State University. The following pages highlight 20 of the most useful insights we found provided here in small sets that will be useful to students, faculty, staff, university leadership, parents, and even prospective students. As you explore this report, we encourage you to see the student data as a window into USU itself. While big data helps us understand how individual students are performing, it tells us a great deal more …

9th Annual Postdoctoral Science Symposium, University Of Texas Md Anderson Cancer Center Postdoctoral Association

Annual Postdoctoral Science Symposium Abstracts

The mission of the Annual Postdoctoral Science Symposium (APSS) is to provide a platform for talented postdoctoral fellows throughout the Texas Medical Center to present their work to a wider audience. The MD Anderson Postdoctoral Association convened its inaugural Annual Postdoctoral Science Symposium (APSS) on August 4, 2011.

The APSS provides a professional venue for postdoctoral scientists to develop, clarify, and refine their research as a result of formal reviews and critiques of faculty and other postdoctoral scientists. Additionally, attendees discuss current research on a broad range of subjects while promoting academic interactions and enrichment and developing new collaborations.

Fake News And Stem, Vikki French

The Liminal: Interdisciplinary Journal of Technology in Education

Based on over ten years teaching mathematics, statistics and science in universities, communities colleges, and for-profit universities, I have witnessed how Fake News is part of these disciplines and how students can easily be misled into accepting pseudoscience. This is a report of my findings.

The Estimation Of Missing Values In Rectangular Lattice Designs, Emmanuel Ogochukwu Ossai, Abimibola Victoria Oladugba

Journal of Modern Applied Statistical Methods

Algebraic expressions for estimating missing data when one or more observation(s) are missing in Rectangular lattice designs with repetition were derived using the method of minimizing the residual sum of squares. Results showed that the estimated value(s) were significantly approximate to that of the actual value(s).

Statistical L-Moment And L-Moment Ratio Estimation And Their Applicability In Network Analysis, Timothy S. Anderson

Theses and Dissertations

This research centers on finding the statistical moments, network measures, and statistical tests that are most sensitive to various node degradations for the Barabási-Albert, Erdös-Rényi, and Watts-Strogratz network models. Thirty-five different graph structures were simulated for each of the random graph generation algorithms, and sensitivity analysis was undertaken on three different network measures: degree, betweenness, and closeness. In an effort to find the statistical moments that are the most sensitive to degradation within each network, four traditional moments: mean, variance, skewness, and kurtosis as well as three non-traditional moments: L-variance, L-skewness, and L-kurtosis were examined. Each of these moments were …

On Nonoscillatory Solutions Of Three Dimensional Time-Scale Systems, Elvan Akin, Taher Hassan, Ozkan Ozturk, Ismail U. Tiryaki

Mathematics and Statistics Faculty Research & Creative Works

In this article, we classify nonoscillatory solutions of a system of three-dimensional time scale systems. We use the method of considering the sign of components of such solutions. Examples are given to highlight some of our results. Moreover, the existence of such solutions is obtained by Knaster's fixed point theorem.

Rplidar A2 Accuracy, Ramiro O. Garcia

STAR Program Research Presentations

Traffic is not only a source of frustration but also a leading cause of death for people under 35 years of age. Recent research has focused on how driver assistance technology can be used to mitigate traffic fatalities and create more enjoyable commutes. In addition, self-driving vehicles can reduce fuel consumption the amount by 5% and increases the number of cars on the highway. To achieve this we need to research reliable sensors. This summer I research Rplidar A2 sensor which hopefully will be responsible for recording distance to the preceding car and helping prevent Insider Attacks or Misbehaviors of …

American Bittern (Botaurus Lentiginosus), Jennifer Smetzer, Toni Lyn Morelli

Second Century Stewardship Refugia Products

No abstract provided.

Portland Symphony Orchestra: Pso Explorers Program Evaluation, Susy Hawes, Sarah Goan, Emilie Swenson Msw

Publications

In 2012, after a strategic planning process and community needs assessment, the Portland Symphony Orchestra (PSO) identified several ways the arts could better serve the community. One result was the creation of PSO Explorers, an arts integration program that brings symphony musicians into kindergarten through third grade classrooms at Portland’s Howard C. Reiche Community School and Longfellow Elementary School. The program uses music to support and enrich students’ learning in literacy, math, science, and social-emotional development by connecting musical activities with classroom lessons. PSO Explorers also helps teachers by providing ideas and skills for using the arts in their daily …

Sample Size Requirements And Considerations For Models To Assess Human-Machine System Performance, Jennifer S. G. Lopez

Theses and Dissertations

Hierarchical Linear Models (HLMs), also known as multi-level models, are an extension of multiple regression analysis and can aid in the understanding of human and machine workloads of a system. These models allow for prediction and testing in systems with hierarchies of two or more levels. The complex interrelated variability of these multi-level models exists in operational settings, such as the Air Force Distributed Common Ground System Full Motion Video (AF DCGS FMV) community which is composed of individuals (Level-1), groups (Level-2), units (Level-3), and organizations (Level-4). Through the development of sample size requirements and considerations for multi-level models, this …

The Ace1 Electrical Impedance Tomography System For Thoracic Imaging, Michelle M. Mellenthin, Jennifer L. Mueller, Erick Dario Leon Bueno De Camargo, Fernando Silva De Moura, Talles Batista Rattis Santos, Raul Gonzales Lima, Sarah J. Hamilton, Peter A. Muller, Melody Alsaker

Mathematical and Statistical Science Faculty Research and Publications

The design and performance of the active complex electrode (ACE1) electrical impedance tomography system for single-ended phasic voltage measurements are presented. The design of the hardware and calibration procedures allows for reconstruction of conductivity and permittivity images. Phase measurement is achieved with the ACE1 active electrode circuit which measures the amplitude and phase of the voltage and the applied current at the location at which current is injected into the body. An evaluation of the system performance under typical operating conditions includes details of demodulation and calibration and an in-depth look at insightful metrics, such as signal-to-noise ratio variations during …

Semi-Supervised Regression With Generative Adversarial Networks Using Minimal Labeled Data, Greg Olmschenk

Dissertations, Theses, and Capstone Projects

This work studies the generalization of semi-supervised generative adversarial networks (GANs) to regression tasks. A novel feature layer contrasting optimization function, in conjunction with a feature matching optimization, allows the adversarial network to learn from unannotated data and thereby reduce the number of labels required to train a predictive network. An analysis of simulated training conditions is performed to explore the capabilities and limitations of the method. In concert with the semi-supervised regression GANs, an improved label topology and upsampling technique for multi-target regression tasks are shown to reduce data requirements. Improvements are demonstrated on a wide variety of vision …

Hematological Indices Of Pesticide Exposure Rice Farmers In Southern Thailand, Wiyada Kwanhian, Supabhorn Yimthiang, Siriuma Jawjit, Junjira Mahaboon, Udomratana Vattanasit, Phiman Thirarattanasunthon

Kesmas

The most common pesticides used in rice farming are organophosphates and carbamates. These pesticides inhibit acetylcholinesterase (AChE) activity, resulting in excessive levels of acetylcholine accumulation and disrupted neurotransmission. This study compared AChE activity and hematological parameters between pesticide-using rice farmers, non-pesticide using rice farmers, and non-agricultural occupational groups (non-farmers). Pesticide residues that accumulated in rice and the water and soil of the study area were also determined. AChE activity of all participants showed 10 from 87 samples (11.49%) as borderline depressed, with 50% of these being pesticide-using farmers. Most of the hematological parameters were normal in all samples. However, platelet …

Behavior Problem Impact To Decreasing Kidney Function Among Migrant Workers, Laily Isroin, Made Suandika

Kesmas

Indonesian Workers were undergoing 18% of hemodyalysis from the number of hemodyalysis patients. They did not know about CRF. The study aimed to analyze the behavior of migrant workers who were suffering hemodyalysis. The study used a qualitative design with a phenomenological approach, that is carried out on former migrant workers who suffer from chronic kidney failure. Indepth interview used as data collection. While data validation used triangulation and confirmability. Data analysis techniques was done by reducing and interpreting the data. The study show migrant workers behavior before becoming migrant workers were very pathetic. They often drunk kind of energy …

Analysis Of Traditional Health Care In Three Community Health Centers In West Java Province, Indonesia, 2018, Adik Wibowo, Evita Diniawati, Than Tun Sein

Kesmas

The National Traditional Health Care set up three objectives for its implementation at the health centers, whereby health staff to be trained on traditional health and provide accupressure care, able to collect data, register and provide technical guidance to traditional healers and guide individuals in the use of traditional medicine and herbs. This qualitative research aimed to analyze the implementation of traditional health care at 3 subdistrict health centers Ciomas, Ciawi and Caringin in district Bogor. Data was collected through document analysis, observation and indepth inteview. Each health center has trained staff in accupressure but care is hindered by lack …