2,039 research outputs found
The Earned Income Tax Credit and Rural Families: Differences between Participants and Non-participants
The differences between rural low-income mothers who were participants and non-participants in the Earned Income Tax Credit (EITC) were examined. One-third of the 224 eligible mothers in a multi-state study did not claim the tax credit. Non-participants were more likely to be Hispanic, less educated, with larger families, borrowing money from family, and living in more rural counties. Participating mothers, on the other hand, were more food secure, perceived their household income as being adequate, reported recent improvements in their economic situation, were satisfied with life, and lived in states with a state EITC. Analysis of qualitative data revealed that rural mothers had many misconceptions about the EITC. These findings contribute to family and economic professionals’ understanding of why rural low-income families do not participate in the tax credit and assist in formulating policies and education/outreach efforts that would increase their participationEITC non-participants, EITC participants, rural low-income mothers, state EITC, rural low-income families
Preparing Future Professionals for Holistic Family and Consumer Sciences Programming
It is critical that the value of Extension family and consumer sciences as a broadly focused profession be recognized both in and out of Extension. Establishing universally recognized competencies and assuring that agents possess those capabilities are vital steps to securing and maintaining the integrity of the profession and its value to those it serves. University of Tennessee Extension has developed a process for assessing basic competencies of newly hired agents and responding to their competency gaps with targeted training
Intravitreally transplanted dental pulp stem cells promote neuroprotection and axon regeneration of retinal ganglion cells after optic nerve injury
Purpose. To investigate the potential therapeutic benefit of intravitreally implanted dental pulp stem cells (DPSCs) on axotomized adult rat retinal ganglion cells (RGCs) using in vitro and in vivo neural injury models. Methods. Conditioned media collected from cultured rat DPSCs and bone marrow-derived mesenchymal stem cells (BMSCs) were assayed for nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), and neurotrophin-3 (NT-3) secretion using ELISA. DPSCs or BMSCs were cocultured with retinal cells, with or without Fc-TrK inhibitors, in a Transwell system, and the number of surviving βIII-tubulin+ retinal cells and length/number of βIII-tubulin+ neurites were quantified. For the in vivo study, DPSCs or BMSCs were transplanted into the vitreous body of the eye after a surgically induced optic nerve crush injury. At 7, 14, and 21 days postlesion (dpl), optical coherence tomography (OCT) was used to measure the retinal nerve fiber layer thickness as a measure of axonal atrophy. At 21 dpl, numbers of Brn-3a+ RGCs in parasagittal retinal sections and growth-associated protein-43+ axons in longitudinal optic nerve sections were quantified as measures of RGC survival and axon regeneration, respectively. Results. Both DPSCs and BMSCs secreted NGF, BDNF, and NT-3, with DPSCs secreting significantly higher titers of NGF and BDNF than BMSCs. DPSCs, and to a lesser extent BMSCs, promoted statistically significant survival and neuritogenesis/axogenesis of βIII-tubulin+ retinal cells in vitro and in vivo where the effects were abolished after TrK receptor blockade. Conclusions. Intravitreal transplants of DPSCs promoted significant neurotrophin-mediated RGC survival and axon regeneration after optic nerve injury
Cost of Care Conversations: Perspectives from Rural Health Care Providers and Older Adult Patients
Older adults often struggle with health care costs. Cost of care (CoC) conversations are conversations between health care providers and patients to discuss direct and indirect costs associated with health care. These conversations have been found to increase patient compliance, but patients and health care providers often do not have these discussions. This article describes a project to provide Extension education to encourage CoC conversations for older adults and health care providers in rural counties in a southern state. To inform educational material development, 125 older adults and 51 health care providers completed surveys about their cost-related barriers to health care, attitudes and frequency of CoC conversations, and preferred educational methods. Older adults reported that they were most comfortable discussing health care costs with physicians and pharmacists but that health care providers rarely initiated these conversations. Health care providers indicated that they were comfortable talking about health care costs with patients and reported that they often initiate these conversations. Both older adults and health care providers indicated fact sheets as a top educational method. This project demonstrates how Extension educators can partner with health care providers to educate older adults about communicating cost-related challenges and needs
Rural Low-income Families Speak: Living in Rural Louisiana (Research Information Sheet # 109)
After the passage of federal welfare reform legislation in 1996, faculty from land-grant universities organized to conduct a study of the legislation’s impact on rural families. The project began in 1998 and runs through 2008. The intent was to provide policymakers and program directors with up-to-date information about the ability of rural, low-income families to be economically self sufficient. The objectives of this project are included in this publication.https://digitalcommons.lsu.edu/agcenter_researchinfosheets/1000/thumbnail.jp
Effects of siRNA-mediated knockdown of GSK3β on retinal ganglion cell survival and neurite/axon growth
There are contradictory reports on the role of the serine/threonine kinase isoform glycogen synthase kinase-3β (GSK3β) after injury to the central nervous system (CNS). Some report that GSK3 activity promotes axonal growth or myelin disinhibition, whilst others report that GSK3 activity prevents axon regeneration. In this study, we sought to clarify if suppression of GSK3β alone and in combination with the cellular-stress-induced factor RTP801 (also known as REDD1: regulated in development and DNA damage response protein), using translationally relevant siRNAs, promotes retinal ganglion cell (RGC) survival and neurite outgrowth/axon regeneration. Adult mixed retinal cell cultures, prepared from rats at five days after optic nerve crush (ONC) to activate retinal glia, were treated with siRNA to GSK3β (siGSK3β) alone or in combination with siRTP801 and RGC survival and neurite outgrowth were quantified in the presence and absence of Rapamycin or inhibitory Nogo-A peptides. In in vivo experiments, either siGSK3β alone or in combination with siRTP801 were intravitreally injected every eight days after ONC and RGC survival and axon regeneration was assessed at 24 days. Optimal doses of siGSK3β alone promoted significant RGC survival, increasing the number of RGC with neurites without affecting neurite length, an effect that was sensitive to Rapamycin. In addition, knockdown of GSK3β overcame Nogo-A-mediated neurite growth inhibition. Knockdown of GSK3β after ONC in vivo enhanced RGC survival but not axon number or length, without potentiating glial activation. Knockdown of RTP801 increased both RGC survival and axon regeneration, whilst the combined knockdown of GSK3β and RTP801 significantly increased RGC survival, neurite outgrowth, and axon regeneration over and above that observed for siGSK3β or siRTP801 alone. These results suggest that GSK3β suppression promotes RGC survival and axon initiation whilst, when in combination with RTP801, it also enhanced disinhibited axon elongation
Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows
Rapid, cost-effective monitoring of milk technological traits is a significant challenge for dairy industries specialized in cheese manufacturing. The objective of the present study was to investigate the ability of mid-infrared spectroscopy to predict rennet coagulation time, curd-firming time, curd firmness at 30 and 60\u2005min after rennet addition, heat coagulation time, casein micelle size, and pH in cow milk samples, and to quantify associations between these milk technological traits and conventional milk quality traits. Samples (n\u2005=\u2005713) were collected from 605 cows from multiple herds; the samples represented multiple breeds, stages of lactation, parities, and milking times. Reference analyses were undertaken in accordance with standardized methods, and mid-infrared spectra in the range of 900 to 5,000\u2005cm 121 were available for all samples. Prediction models were developed using partial least squares regression, and prediction accuracy was based on both cross and external validation. The proportion of variance explained by the prediction models in external validation was greatest for pH (71%), followed by rennet coagulation time (55%) and milk heat coagulation time (46%). Models to predict curd firmness 60\u2005min from rennet addition and casein micelle size, however, were poor, explaining only 25 and 13%, respectively, of the total variance in each trait within external validation. On average, all prediction models tended to be unbiased. The linear regression coefficient of the reference value on the predicted value varied from 0.17 (casein micelle size regression model) to 0.83 (pH regression model) but all differed from 1. The ratio performance deviation of 1.07 (casein micelle size prediction model) to 1.79 (pH prediction model) for all prediction models in the external validation was <2, suggesting that none of the prediction models could be used for analytical purposes. With the exception of casein micelle size and curd firmness at 60\u2005min after rennet addition, the developed prediction models may be useful as a screening method, because the concordance correlation coefficient ranged from 0.63 (heat coagulation time prediction model) to 0.84 (pH prediction model) in the external validation
Prediction of individual milk proteins including free amino acids in bovine milk using mid-infrared spectroscopy and their correlations with milk processing characteristics
The aim of this study was to evaluate the effectiveness of mid-infrared spectroscopy in predicting milk protein and free amino acid (FAA) composition in bovine milk. Milk samples were collected from 7 Irish research herds and represented cows from a range of breeds, parities, and stages of lactation. Mid-infrared spectral data in the range of 900 to 5,000 cm(-1) were available for 730 milk samples; gold standard methods were used to quantify individual protein fractions and FAA of these samples with a view to predicting these gold standard protein fractions and FAA levels with available mid-infrared spectroscopy data. Separate prediction equations were developed for each trait using partial least squares regression; accuracy of prediction was assessed using both cross validation on a calibration data set (n = 400 to 591 samples) and external validation on an independent data set (n = 143 to 294 samples). The accuracy of prediction in external validation was the same irrespective of whether undertaken on the entire external validation data set or just within the Holstein-Friesian breed. The strongest coefficient of correlation obtained for protein fractions in external validation was 0.74, 0.69, and 0.67 for total casein, total beta-lactoglobulin, and beta-casein, respectively. Total proteins (i.e., total casein, total whey, and total lactoglobulin) were predicted with greater accuracy then their respective component traits; prediction accuracy using the infrared spectrum was superior to prediction using just milk protein concentration. Weak to moderate prediction accuracies were observed for FAA. The greatest coefficient of correlation in both cross validation and external validation was for Gly (0.75), indicating a moderate accuracy of prediction. Overall, the FAA prediction models overpredicted the gold standard values. Near-unity correlations existed between total casein and beta-casein irrespective of whether the traits were based on the gold standard (0.92) or mid-infrared spectroscopy predictions (0.95). Weaker correlations among FAA were observed than the correlations among the protein fractions. Pearson correlations between gold standard protein fractions and the milk processing characteristics of rennet coagulation time, curd firming time, curd firmness, heat coagulating time, pH, and casein micelle size were weak to moderate and ranged from -0.48 (protein and pH) to 0.50 (total casein and a(30)). Pearson correlations between gold standard FAA and these milk processing characteristics were also weak to moderate and ranged from -0.60 (Val and pH) to 0.49 (Val and K-20). Results from this study indicate that mid-infrared spectroscopy has the potential to predict protein fractions and some FAA in milk at a population level
- …