466 research outputs found
The Impact of Expertise and After-School Program Dosage on At-Risk Student Achievement
After-school programs (ASPs) aimed at improving at-risk student achievement abound and receive considerable funding. Research provides some evidence that ASPs can improve reading and math achievement for at-risk students, although rigorous evaluation of the programs and outcomes is minimal. Specifically absent from current ASP literature is examination of dosage, in the form of hours of program attendance, and its impact on at-risk student achievement. ASP research; research on learning and time; and expertise theory indicate dosage rates that are too low and too high will not impact student achievement.
This study investigates the impact of after-school program dosage and expertise on achievement. This study took place in a mid-sized, urban school district in Kentucky. ESS monies are provided by the state for ASPs targeting at-risk student achievement. The district studied provided ESS funding to all low-performing schools to implement an ASP to improve student achievement. Data was gathered for all 10th and 11th grade students from the low-performing high schools in the district (n=1346). Dosage levels were calculated for each participant: none, low, mid, high, in English/Language Arts and Math. English, reading, and math ACT PLAN and ACT test scores were included for each participant.
An ANCOVA test was performed to investigate the impact of risk status (SES), dosage (number of hours) and expertise (PLAN) on student achievement (ACT test). Expertise was the covariate. ASP dosage did not have a significant effect on student achievement. Risk status, after controlling for expertise, did not have a significant effect on achievement. This study indicates expertise is a more powerful predictor of achievement than risk status
The Relationship Between Selected Socioeconomic Variables and the Third Grade Academic Achievement of Pupils in West Virginia
During the past two decades a substantial amount of educational research has focused on the relationship between socioeconomic status and school achievement. Many researchers believe that a strong correlation exists between these two factors while others present evidence to refute this hypothesis. It appears that most of these investigations fall into one of three categories. Arthur Jensen, a well known advocate of genetic determinism, contended that eighty percent of the variance in intelligence could be accounted for by hereditary factors. This position supported a belief that children from families living in poverty from one generation to the next tended to perform poorly in school environments due to inherent genetic inferiority
Commentary on comparison of MODIS snow cover and albedo products with ground observations over the mountainous terrain of Turkey
International audienceThe MODerate-resolution Imaging Spectroradiometer (MODIS) snow cover product was evaluated by Parajka and Blösch (2006) over the territory of Austria. The spatial and temporal variability of the MODIS snow product classes are analyzed, the accuracy of the MODIS snow product against numerous in situ snow depth data are examined and the main factors that may influence the MODIS classification accuracy are identified in their studies. The authors of this paper would like to provide more discussion to the scientific community on the "Validation of MODIS snow cover images" when similar methodology is applied to mountainous regions covered with abundant snow but with limited number of ground survey and automated stations. Daily snow cover maps obtained from MODIS images are compared with ground observations in mountainous terrain of Turkey for the winter season of 2002?2003 and 2003?2004 during the accumulation and ablation periods of snow. Snow depth and density values are recorded to determine snow water equivalent (SWE) values at 19 points in and around the study area in Turkey. Comparison of snow maps with in situ data show good agreement with overall accuracies in between 62 to 82 percent considering a 2-day shift during cloudy days. Studies show that the snow cover extent can be used for forecasting of runoff hydrographs resulting mostly from snowmelt for a mountainous basin in Turkey. MODIS-Terra snow albedo products are also compared with ground based measurements over the ablation stage of 2004 using the automated weather operating stations (AWOS) records at fixed locations as well as from the temporally assessed measuring sites during the passage of the satellite. Temporarily assessed 20 ground measurement sites are randomly distributed around one of the AWOS stations and both MODIS and ground data were aggregated in GIS for analysis. Reduction in albedo is noticed as snow depth decreased and SWE values increased
A Preliminary List of Hemerobiidae Known to Occur in Iowa
The brown lace wings (family Hemerobiidae) are fairly inconspicuous, fragile little insects sometimes flying in abundance at lights and frequently taken by general collecting such as sweeping plants or in examining dead leaves on the ground or other debris. The adults are of medium size and are inconspicuous in their natural habitat. The wings are iridescent and hairy with numerous small cells and many cross veins. The mouth parts are of a simple biting type, but in the larvae a modified biting and sucking type exists. In this type the mandibles are short and curved with grooves on the ventral surfaces, these combine with the maxillae to form channels that lead to the pharynx since no true mouth exists
Trends in Characteristics of Patients Listed for Liver Transplantation Will Lead to Higher Rates of Waitlist Removal Due to Clinical Deterioration
BACKGROUND:
Changes in the epidemiology of end-stage liver disease may lead to increased risk of dropout from the liver transplant waitlist. Anticipating the future of liver transplant waitlist characteristics is vital when considering organ allocation policy.
METHODS:
We performed a discrete event simulation to forecast patient characteristics and rate of waitlist dropout. Estimates were simulated from 2015 to 2025. The model was informed by data from the Organ Procurement and Transplant Network, 2003 to 2014. National data are estimated along with forecasts for 2 regions.
RESULTS:
Nonalcoholic steatohepatitis will increase from 18% of waitlist additions to 22% by 2025. Hepatitis C will fall from 30% to 21%. Listings over age 60 years will increase from 36% to 48%. The hazard of dropout will increase from 41% to 46% nationally. Wait times for transplant for patients listed with a Model for End-Stage Liver Disease (MELD) between 22 and 27 will double. Region 5, which transplants at relatively higher MELD scores, will experience an increase from 53% to 64% waitlist dropout. Region 11, which transplants at lower MELD scores, will have an increase in waitlist dropout from 30% to 44%.
CONCLUSIONS:
The liver transplant waitlist size will remain static over the next decade due to patient dropout. Liver transplant candidates will be older, more likely to have nonalcoholic steatohepatitis and will wait for transplantation longer even when listed at a competitive MELD score. There will continue to be significant heterogeneity among transplant regions where some patients will be more likely to drop out of the waitlist than receive a transplant
Migration in Minnesota: 1940-50
This archival publication may not reflect current scientific knowledge or recommendations. Current information available from University of Minnesota Agricultural Experiment Station: http://www.maes.umn.edu
Declining liver graft quality threatens the future of liver transplantation in the United States
National liver transplantation (LT) volume has declined since 2006, in part because of worsening donor organ quality. Trends that degrade organ quality are expected to continue over the next 2 decades. We used the United Network for Organ Sharing (UNOS) database to inform a 20-year discrete event simulation estimating LT volume from 2010 to 2030. Data to inform the model were obtained from deceased organ donors between 2000 and 2009. If donor liver utilization practices remain constant, utilization will fall from 78% to 44% by 2030, resulting in 2230 fewer LTs. If transplant centers increase their risk tolerance for marginal grafts, utilization would decrease to 48%. The institution of "opt-out" organ donation policies to increase the donor pool would still result in 1380 to 1866 fewer transplants. Ex vivo perfusion techniques that increase the use of marginal donor livers may stabilize LT volume. Otherwise, the number of LTs in the United States will decrease substantially over the next 15 years. In conclusion, the transplant community will need to accept inferior grafts and potentially worse posttransplant outcomes and/or develop new strategies for increasing organ donation and utilization in order to maintain the number of LTs at the current level
Knowledge, Awareness and Practice with Antimicrobial Stewardship Programmes among Healthcare Providers in a Ghanaian Tertiary Hospital
Antimicrobial resistance (AMR) is a significant problem in global health today, particularly in low- and middle-income countries (LMICs) where antimicrobial stewardship programmes are yet to be successfully implemented. We established a partnership between AMR pharmacists from a UK NHS hospital and in Ho Teaching Hospital with the aim of enhancing antimicrobial stewardship knowledge and practice among healthcare providers through an educational intervention. We employed a mixed-method approach that included an initial survey on knowledge and awareness before and after training, followed by qualitative interviews with healthcare providers conducted six months after delivery of training. This study was carried out in two phases in Ho Teaching Hospital with healthcare professionals, including pharmacists, medical doctors, nurses and medical laboratory scientists. Ethical approval was obtained prior to data collection. In the first phase, we surveyed 50 healthcare providers, including nurses (33%), pharmacists (29%) and biomedical scientists (23%). Of these, 58% of participants had engaged in continuous professional development on AMR/AMS, and above 95% demonstrated good knowledge on the general use of antibiotics. A total of 18 participants, which included four medical doctors, five pharmacists, four nurses, two midwives and three biomedical scientists, were interviewed in the second phase and demonstrated greater awareness of AMS practices, particularly the role of education for patients, as well as healthcare professionals. We found that knowledge and practice with AMS was markedly improved six months after the training session. There is limited practice of AMS in LMICs; however, through AMR-focused training, we demonstrated improved AMS skills and practice among healthcare providers in Ho Teaching Hospital. There is a need for continuous AMR training sessions for healthcare professionals in resource-limited settings
The making and evaluation of Picts and Pixels : mixed exhibiting in the real and the unreal
Museums publicly display collections in a physical space to relay narratives and concepts to their audiences. Progressive technologies in an exhibition can bring in varying demographics and gather higher footfall for a museum as well as present digital heritage interpretation in an innovative manner. A mixed media exhibition can facilitate subjects with limited physical resources or difficult to display pieces as well as the visual landscape the objects were found within. A combination of Virtual Reality headsets, 3D digitized objects, digitally reconstructed archaeological sites alongside traditional object displays as methods of interpretation substantiate research in techniques and usability as well as challenges of recoup cost and digital literacies. This paper investigates the methodology, technology and evaluation of the mixed media exhibition Picts & Pixels presented by Culture Perth and Kinross and the Open Virtual Worlds research team at the University of St Andrews at the Perth Museum and Art Gallery in summer 2017.Postprin
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