125 research outputs found

    Magazines on the Shelf

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    Instead of reading the same magazine month after month, shop around a bit and investigate some of the unusual magazines. The periodical room contains hundreds of current magazines and newspapers that will give you many hours of pleasure and enjoyment

    Make Every Penny Count

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    All your life you\u27ve heard your parents repeating A penny saved is a penny earned. Sounds familiar, doesn\u27t it? Now that you are in college those hear-earned pennies will disappear rapidly if you can\u27t budget wisely

    The Iowa Homemaker vol.32, no.3

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    Introducing Dr. Helen LeBaron, Jean McGhie, page 7 Make Every Penny Count, Joyce Roos, page 8 Best Years of Your Life, Salli Hearst, page 9 Spare Time Pay Offs, Dorothy Owen, page 10 New Additions – Added Pleasure, Dorothy Will, page 14 If Statues Could Speak, Marilyn Wachtel, page 15 Happy Living Through Cooperative Living, Mary Grout and Elinor Holmberg, page 16 What’s New, Evelynn Toulouse and Dorothy Will, page 18 Clip and Save Your Fall Quarter Calendar, page 24 Here’s An Idea, page 26 Tradition Dictates, Ruth Anderson, page 28 Trends, Joanne Ryals, page 3

    The Iowa Homemaker vol.30, no.7

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    Thoughts for 1951, Nancy Voss, page 3 Rugs, Carol McCready, page 4 Stop That Cold, Pat Pumphrey, page 5 Use Your Sense When Choosing Scents, Harriet LaRue, page 6 What’s New, Jane Ann Steele, page 7 Family Relationships, Barbara Allen, page 8 “How To Lay a Nest Egg”, Janet Sutherland, page 10 Here’s An Idea, Carol Dee Legg, page 12 Magazines on the Shelf, Joyce Roos, page 14 Trends, Margaret Schaeffer, page 1

    Handedness in Schizophrenia and schizoaffective disorder in an Afrikaner founder population

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    OBJECTIVE : An association between the Leucine-rich repeat trans membrane neuronal 1 gene (LRRTM1), schizophrenia/schizoaffective disorder and handedness was recently claimed to be established. This study aimed to test the hypothesis that Afrikaner patients with schizophrenia/schizoaffective disorder are more non-right handed than their non-affected first-degree relatives and that of two separate control groups. The association between handedness, gender and age at onset of illness in the patients group was also determined. METHOD : Two cross-sectional studies were carried out, which compared the handedness of a group of 100 (30 females and 70 males) Afrikaner patients with schizophrenia/schizoaffective disorder, their non-affected first-degree relatives, and two separate control groups. Handedness was determined by the Edinburg Handedness Inventory (EHI). RESULTS : Patients were found to be more right-handed than expected with only 17 out of 100 being non-right-handed compared to 11 out of 100 non-affected relatives; 36 out of 100 students and 75 out of 500 non-affected Afrikaner participants. The students were significantly more non-right handed than the patient and family groups but no difference in handedness was found when comparing the patients, family members and 500 participant control group. There was no significant difference between age at onset of illness and handedness. A significant association between female gender and non-right handedness in the patient group was found but no gender difference in the family and student groups. A highly significant association was found between the male gender of the patients and student control group regarding handedness. A significant difference was found between the median EHI raw scores of the patients and the family members. The median EHI raw scores of the patients were significantly lower than their paired family members. CONCLUTION : The study failed to prove a leftward shift of handedness in the patients with Schizophrenia and Schizoaffective disorder in the Afrikaner Founder population. Whether or not LRRTM1 is indeed the genetic basis of handedness, remains unclear.The study was partially funded by a NRF Incentive Funding grant to J.L.R.http://ajop.co.zahb201

    Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence

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    Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense and commercial applications. We envision a pipeline to utilize large neuroimaging datasets, including maps of the brain which capture neuron and synapse connectivity, to improve machine learning approaches. We have pursued different approaches within this pipeline structure. First, as a demonstration of data-driven discovery, the team has developed a technique for discovery of repeated subcircuits, or motifs. These were incorporated into a neural architecture search approach to evolve network architectures. Second, we have conducted analysis of the heading direction circuit in the fruit fly, which performs fusion of visual and angular velocity features, to explore augmenting existing computational models with new insight. Our team discovered a novel pattern of connectivity, implemented a new model, and demonstrated sensor fusion on a robotic platform. Third, the team analyzed circuitry for memory formation in the fruit fly connectome, enabling the design of a novel generative replay approach. Finally, the team has begun analysis of connectivity in mammalian cortex to explore potential improvements to transformer networks. These constraints increased network robustness on the most challenging examples in the CIFAR-10-C computer vision robustness benchmark task, while reducing learnable attention parameters by over an order of magnitude. Taken together, these results demonstrate multiple potential approaches to utilize insight from neural systems for developing robust and efficient machine learning techniques.Comment: 11 pages, 4 figure

    The direct healthcare costs associated with psychological distress and major depression : A population-based cohort study in Ontario, Canada

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    The objective of our study was to estimate direct healthcare costs incurred by a population-based sample of people with psychological distress or depression. We used the 2002 Canadian Community Health Survey on Mental Health and Well Being and categorized individuals as having psychological distress using the Kessler-6, major depressive disorder (MDD) using DSM-IV criteria and a comparison group of participants without MDD or psychological distress. Costs in 2013 USD were estimated by linking individuals to health administrative databases and following them until March 31, 2013. Our sample consisted of 9,965 individuals, of whom 651 and 409 had psychological distress and MDD, respectively. Although the age-and-sex adjusted per-capita costs were similarly high among the psychologically distressed (3,364,953,364, 95% CI: 2,791, 3,937)andthosewithMDD(3,937) and those with MDD (3,210, 95% CI: 2,413,2,413, 4,008) compared to the comparison group (2,629,952,629, 95% CI: 2,312, 2,945),thepopulation−wideexcesscostsforpsychologicaldistress(2,945), the population-wide excess costs for psychological distress (441 million) were more than twice that for MDD ($210 million) as there was a greater number of people with psychological distress than depression. We found substantial healthcare costs associated with psychological distress and depression, suggesting that psychological distress and MDD have a high cost burden and there may be public health intervention opportunities to relieve distress. Further research examining how individuals with these conditions use the healthcare system may provide insight into the allocation of limited healthcare resources while maintaining high quality care

    Consolidating Public Services in Anne Arundel County and the City of Annapolis: Impacts and Expenses

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    Combined final report for ECON454: Public Finance and Public Policy (Fall 2016). University of Maryland, College Park.This report is a collection of papers completed by students in the ECON454, Public Finance and Public Policy, who applied their students to a real world question as part of the PALS program. The class’s goal is understand the field of public finance and the relationship between economic theory and real world government policies. The goal of the PALS program is to use instructor expertise and student energy to advance sustainability in Maryland communities. In this effort, students explored the potential for consolidating public services in Anne Arundel County and the City of Annapolis, including the fiscal impacts and service level.Anne Arundel County & Annapoli
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