67 research outputs found
The Great CSU Weed of 2019
We kicked. We screamed. We coped. We survived. We will tell you how. In early 2019, The Columbus State University Schwob Memorial (Main) library faced a MASSIVE weeding project like nothing they had coped with before. In this presentation, two librarians, Amy Parsons from Technical services and Emily Crews from Reference services, will share their workflows, public relations challenges, a few best practices, and changes that will be implemented. Oftentimes, libraries have to be torn apart to build them back better. This will be a lighthearted conversation on how we handled this challenge. We will also share a fall update on where we are now in the renovation process
Do Housing Programs for Low-Income Households Improve Their Housing?
The primary goals of the 1937 Housing Act were to provide safe and sanitary housing and to reduce crowding for low-income households. During the nearly 60 years since, the effective goals have expanded to include lowering housing costs, and by extension, to increasing nonhousing consumption. This paper examines the effect these programs have had on the overall consumption behavior of participants. Using data from the 1987 American Housing Survey (AHS), the results indicate that federal housing programs have little effect on the housing consumption of participants (4.4 percent increase), but an enormous effect on their nonhousing consumption (141 percent increase). Furthermore, the assistance seems to lower the housing consumption of 42 percent of participating households. Finally, substituting cash subsidies for in-kind housing assistance will provide more housing consumption, but with smaller nonhousing consumption, than the current (primarily in-kind) system
What We Know About Multifamily Mortgage Originations and Why We Care
The three publicly available data sets on multifamily mortgage originations are examined and compared in an attempt to resolve the more than 30 billion
Recounting Winners and Losers in the 1980s: A Critique of Income Distribution Measurement Methodology
The 1980s have been characterized as a time when the “rich got richer and the poor got poorer.” Using a cross-over point methodology used in several recent studies, we show how sensitive the measurement of winners and losers can be to seemingly small differences in methodological practice. Specifically, we show sensitivity to the years compared, the income sharing unit chosen, and the inflation index used. Our results show that these and other studies of economic well-being exaggerate losses by mixing cyclical with cross-cycle effect
How the Fruits of Growth Were Distributed Among Working-Age Families in the United States and Germany in the 1980s
We use cross-sectional and longitudinal data from Germany (Socio-Economic Panel) and the United States (Panel Study on Income Dynamics) to show how the income distribution changed over the 1980s business cycle in these two countries. Consistent with other researchers we find income inequality in the United States increased over the peak years of the 1980s business cycle and that the middle of the income distribution shrank. However, we also find that the great bulk of the disappearing middle shifted to the right— became richer— over the period. Hence, it was disproportionate gains from growth rather than the “immiseration” of the middle class that explains the rise in inequality over the period. Focusing on the upswing years of the 1980s business cycle, we find that cross-sectional comparisons understate the gains to persons who lived in working-age households over the period. This is especially true of persons who were living in nonworking households at the start of the period. We find similar results for Germany. However, regardless of the data used, the distribution of the fruits of economic growth during the 1980s were more evenly distributed in Germany than in the United States. Economic gains by persons living in nonworking households and in households headed by relatively low educated workers in Germany were much closer to the gains of other working age households than was true in the United States
Estimating the Volume of Multifamily Mortgage Originations By Commercial Banks Using the Survey of Mortgage Lending Activity and the Home Mortgage Disclosure Act Data
Two public data sets on multifamily mortgage originations are used to resolve the 7-8 billion
Selective Molecular Alterations in the Autophagy Pathway in Patients with Lewy Body Disease and in Models of α-Synucleinopathy
Lewy body disease is a heterogeneous group of neurodegenerative disorders characterized by α-synuclein accumulation that includes dementia with Lewy bodies (DLB) and Parkinson's Disease (PD). Recent evidence suggests that impairment of lysosomal pathways (i.e. autophagy) involved in α-synuclein clearance might play an important role. For this reason, we sought to examine the expression levels of members of the autophagy pathway in brains of patients with DLB and Alzheimer's Disease (AD) and in α-synuclein transgenic mice.By immunoblot analysis, compared to controls and AD, in DLB cases levels of mTor were elevated and Atg7 were reduced. Levels of other components of the autophagy pathway such as Atg5, Atg10, Atg12 and Beclin-1 were not different in DLB compared to controls. In DLB brains, mTor was more abundant in neurons displaying α-synuclein accumulation. These neurons also showed abnormal expression of lysosomal markers such as LC3, and ultrastructural analysis revealed the presence of abundant and abnormal autophagosomes. Similar alterations were observed in the brains of α-synuclein transgenic mice. Intra-cerebral infusion of rapamycin, an inhibitor of mTor, or injection of a lentiviral vector expressing Atg7 resulted in reduced accumulation of α-synuclein in transgenic mice and amelioration of associated neurodegenerative alterations.This study supports the notion that defects in the autophagy pathway and more specifically in mTor and Atg7 are associated with neurodegeneration in DLB cases and α-synuclein transgenic models and supports the possibility that modulators of the autophagy pathway might have potential therapeutic effects
High Resolution Genomic Scans Reveal Genetic Architecture Controlling Alcohol Preference in Bidirectionally Selected Rat Model
Investigations on the influence of nature vs. nurture on Alcoholism (Alcohol Use Disorder) in human have yet to provide a clear view on potential genomic etiologies. To address this issue, we sequenced a replicated animal model system bidirectionally-selected for alcohol preference (AP). This model is uniquely suited to map genetic effects with high reproducibility, and resolution. The origin of the rat lines (an 8-way cross) resulted in small haplotype blocks (HB) with a corresponding high level of resolution. We sequenced DNAs from 40 samples (10 per line of each replicate) to determine allele frequencies and HB. We achieved ~46X coverage per line and replicate. Excessive differentiation in the genomic architecture between lines, across replicates, termed signatures of selection (SS), were classified according to gene and region. We identified SS in 930 genes associated with AP. The majority (50%) of the SS were confined to single gene regions, the greatest numbers of which were in promoters (284) and intronic regions (169) with the least in exon\u27s (4), suggesting that differences in AP were primarily due to alterations in regulatory regions. We confirmed previously identified genes and found many new genes associated with AP. Of those newly identified genes, several demonstrated neuronal function involved in synaptic memory and reward behavior, e.g. ion channels (Kcnf1, Kcnn3, Scn5a), excitatory receptors (Grin2a, Gria3, Grip1), neurotransmitters (Pomc), and synapses (Snap29). This study not only reveals the polygenic architecture of AP, but also emphasizes the importance of regulatory elements, consistent with other complex traits
Parental breeding age effects on descendants' longevity interact over 2 generations in matrilines and patrilines
Individuals within populations vary enormously in mortality risk and longevity, but the causes of this variation remain poorly understood. A potentially important and phylogenetically widespread source of such variation is maternal age at breeding, which typically has negative effects on offspring longevity. Here, we show that paternal age can affect offspring longevity as strongly as maternal age does and that breeding age effects can interact over 2 generations in both matrilines and patrilines. We manipulated maternal and paternal ages at breeding over 2 generations in the neriid fly Telostylinus angusticollis. To determine whether breeding age effects can be modulated by the environment, we also manipulated larval diet and male competitive environment in the first generation. We found separate and interactive effects of parental and grand-parental ages at breeding on descendants' mortality rate and life span in both matrilines and patrilines. These breeding age effects were not modulated by grand-parental larval diet quality or competitive environment. Our findings suggest that variation in maternal and paternal ages at breeding could contribute substantially to intrapopulation variation in mortality and longevity
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