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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Similarity Based Classification Of Adhd Using Singular Value Decomposition, Taban Eslami, Fahad Saeed
Similarity Based Classification Of Adhd Using Singular Value Decomposition, Taban Eslami, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
Attention deficit hyperactivity disorder (ADHD) is one of the most common brain disorders among children. This disorder is considered as a big threat for public health and causes attention, focus and organizing difficulties for children and even adults. Since the cause of ADHD is not known yet, data mining algorithms are being used to help discover patterns which discriminate healthy from ADHD subjects. Numerous efforts are underway with the goal of developing classification tools for ADHD diagnosis based on functional and structural magnetic resonance imaging data of the brain. In this paper, we used Eros, which is a technique for …
Benefit Of Ultrasound Curriculum Development For Family Medicine Residents, Nithin Natwa, Uzair Munshey, Duncan Vos, Robert Baker
Benefit Of Ultrasound Curriculum Development For Family Medicine Residents, Nithin Natwa, Uzair Munshey, Duncan Vos, Robert Baker
Research Day
Introduction/Purpose: Musculoskeletal problems comprise some of the most common reasons for ambulatory care encounters in the United States, accounting for 8.3% of the 1.2 billion visits per year according to the CDC. Musculoskeletal Ultrasound use has become more common in primary care for diagnosis and therapeutics. In Family Medicine Residency (FMR) Programs there is a deficiency of a structured, competency-based musculoskeletal ultrasound (MSK US) training despite its growing popularity. Currently, there is no formalized requirement for Ultrasound education as in other residency programs in spite of its benefit. Methods: We received a positive response on our needs analysis survey for …
Gpu-Pcc: A Gpu Based Technique To Compute Pairwise Pearson’S Correlation Coefficients For Big Fmri Data, Taban Eslami, Muaaz Gul Awan, Fahad Saeed
Gpu-Pcc: A Gpu Based Technique To Compute Pairwise Pearson’S Correlation Coefficients For Big Fmri Data, Taban Eslami, Muaaz Gul Awan, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
Functional Magnetic Resonance Imaging (fMRI) is a non-invasive brain imaging technique for studying the brain’s functional activities. Pearson’s Correlation Coefficient is an important measure for capturing dynamic behaviors and functional connectivity between brain components. One bottleneck in computing Correlation Coefficients is the time it takes to process big fMRI data. In this paper, we propose GPU-PCC, a GPU based algorithm based on vector dot product, which is able to compute pairwise Pearson’s Correlation Coefficients while performing computation once for each pair. Our method is able to compute Correlation Coefficients in an ordered fashion without the need to do post-processing reordering …
An Out-Of-Core Gpu Based Dimensionality Reduction Algorithm For Big Mass Spectrometry Data And Its Application In Bottom-Up Proteomics, Muaaz Awan, Fahad Saeed
An Out-Of-Core Gpu Based Dimensionality Reduction Algorithm For Big Mass Spectrometry Data And Its Application In Bottom-Up Proteomics, Muaaz Awan, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
Modern high resolution Mass Spectrometry instruments can generate millions of spectra in a single systems biology experiment. Each spectrum consists of thousands of peaks but only a small number of peaks actively contribute to deduction of peptides. Therefore, pre-processing of MS data to detect noisy and non-useful peaks are an active area of research. Most of the sequential noise reducing algorithms are impractical to use as a pre-processing step due to high time-complexity. In this paper, we present a GPU based dimensionality-reduction algorithm, called G-MSR, for MS2 spectra. Our proposed algorithm uses novel data structures which optimize the memory and …
Determining Best Practices Of Peer Mediation Methods In Kalamazoo Public Schools, Melanie Bourgeau, Dagan Hammar, Neil Hughes, Sarah Kemp, Sydney Spitler, Cathy L. Kothari Phd
Determining Best Practices Of Peer Mediation Methods In Kalamazoo Public Schools, Melanie Bourgeau, Dagan Hammar, Neil Hughes, Sarah Kemp, Sydney Spitler, Cathy L. Kothari Phd
Research Day
Determining Best Practices of Peer Mediation methods in Kalamazoo Public Schools Melanie Bourgeau, Dagan Hammar, Neil Hughes, Sarah Kemp, Sydney Spitler, Catherine Kothari BACKGROUND Peer mediation is a method of conflict resolution in which a conflict between two people or groups is guided by a fellow student in order to reach an agreement. Peer mediation has been shown to be an effective tool in helping students resolve conflict and how to respond to future conflicts. This has led to a reduction in school violence and suspensions in schools that have adopted this method. Several methods have been employed in the …
Delivery Of Health Education In Adolescents With Behavioral Health Challenges, Ashley Akkal, Ransome Eke Md, Phd, Sulin Wu, Amy Rechenberg, Michael Madrid, Jose Lopez-Vera, Duncan Vos
Delivery Of Health Education In Adolescents With Behavioral Health Challenges, Ashley Akkal, Ransome Eke Md, Phd, Sulin Wu, Amy Rechenberg, Michael Madrid, Jose Lopez-Vera, Duncan Vos
Research Day
BACKGROUND Adolescents with behavioral health issues tend to have inadequate access to health education, and are thus less aware of the importance of personal and dental hygiene, exercise, and healthy diet and lifestyle habits. Due to this disparity, this population has been known to harbor a higher prevalence of STI’s, drug and alcohol abuse, physical altercations, juvenile detention, and suicide attempts. PURPOSE The overall objective of this study was to examine the effect of integrating a health science curriculum in this population. METHODS Participants aged 5-17 years old were recruited and assigned to either control or science groups by Family …
Selective Incarceration And Extraction Of Oxoanion Contaminants From Aqueous Media By Self-Assembled Nanojars, Basil Ahmed
Selective Incarceration And Extraction Of Oxoanion Contaminants From Aqueous Media By Self-Assembled Nanojars, Basil Ahmed
Research and Creative Activities Poster Day
Selective binding and extraction of anions by artificial receptors is one of the most far‐reaching areas of supramolecular chemistry, with implications in chemical, biological and environmental sciences. The extraction of kosmotropic anions from aqueous media is challenging, due to their large hydration energies (affinity for water). We have recently shown that a class of toroidal copper(II)‐hydroxide/pyrazolate complexes (nanojars), with the formula [Cu(OH)(pz)]n (n = 27−36), totally incarcerate kosmotropic anions with an unprecedented strength. Lined by H‐bond donors on the inside and hydrophobic on the outside, these ~2 nm sized assemblies selectively extract kosmotropic anions from mixtures with chaotropic anions …
Bioremediation Of Crude Oil Spills Impacts Microbial Communities And The Magnetic Susceptibility Of Sediments, Carol L. Beaver, Anja Williams, Estella Atekwana, Gamal Abdel Aal, Farag Mewafy, Lee Slater, Silvia Rossbach
Bioremediation Of Crude Oil Spills Impacts Microbial Communities And The Magnetic Susceptibility Of Sediments, Carol L. Beaver, Anja Williams, Estella Atekwana, Gamal Abdel Aal, Farag Mewafy, Lee Slater, Silvia Rossbach
Research and Creative Activities Poster Day
A worldwide increase in the production, shipment, and storage of crude oil has led to an increase in oil spills, and efforts to physically remove this oil from the environment are often insufficient. As a result, hydrocarbon contamination that is not eliminated by suction, excavation, or by dispersants remains in the water and sediments to be degraded by microbes. Initially, the bioremediation of oil occurs aerobically, but as oxygen is depleted, microbes must switch to alternate electron acceptors. Gradients of terminal electron acceptors form over time, which in conjunction with the toxic properties of oil, have an effect on the …
Enseñanza De Las Ciencias Y Contextos Culturales: Un Testimonio De Vida, William W. Cobern, Adela Molina-Andrade, Gonzalo Peñaloza-J.
Enseñanza De Las Ciencias Y Contextos Culturales: Un Testimonio De Vida, William W. Cobern, Adela Molina-Andrade, Gonzalo Peñaloza-J.
Scientific Literacy and Cultural Studies Project
William W. Cobern es PhD en Educación en Ciencias, de la Universidad de Colorado Boulder. En la actualidad es profesor en la Western Michigan University. Su trabajo ha girado en torno a la relación entre cultura tradicional y enseñanza-aprendizaje de las ciencias. Por varios años trabajó en Nigeria y desarrolló propuestas de formación de profesores y de programas educativos dirigidos a grupos nómadas. A partir de su experiencia propuso su concepto de “visión del mundo”, que es tanto un marco teórico como metodológico para entender y abordar el vínculo entre ciencia y cultura. Su trabajo ha motivado investigaciones en diferentes …