5,196 research outputs found
On the existence, uniqueness, and stability of solutions of the equation PP0Xtt = E(Xx)Xxx + κXxxt
Teaching Large Classes: Unpacking the Problem and Responding Creatively
Teaching large classes well is a continuing challenge for many universities. This article looks at one university\u27s systematic approach to the problem. It describes how faculty and administrators from all over campus were involved in a Continuous Quality Improvement (CQI) process, how the problems were clearly defined and recommendations made, and how the solutions that emerged also involved faculty from across the curriculum
Toward Reduced Poverty Across Generations: Early Findings from New York City's Conditional Cash Transfer Program
In 2007, New York City launched Opportunity NYC -- Family Rewards, an experimental, privately funded, conditional cash transfer (CCT) program to help families break the cycle of intergenerational poverty. CCT programs offer cash assistance to reduce immediate hardship and poverty but condition this assistance -- or cash transfers -- on families' efforts to improve their "human capital" (typically, children's educational achievement and family health) in the hope of reducing their poverty over the longer term. Such programs have grown rapidly across lower- and middle-income countries, and evaluations have found some important successes. Family Rewards is the first comprehensive CCT program in a developed country.Aimed at low-income families in six of New York City's highest-poverty communities, Family Rewards ties cash rewards to a pre-specified set of activities and outcomes in the areas of children's education, family preventive health care, and parents' employment. The program is available to 2,400 families for three years. Inspired by Mexico's pioneering Oportunidades program, Family Rewards' program effects are being measured via a randomized control trial.The Family Rewards demonstration is one of 40 initiatives sponsored by New York City's Center for Economic Opportunity (CEO), a unit within the Office of Mayor Michael R. Bloomberg that is responsible for testing innovative strategies to reduce the number of New Yorkers who are living in poverty. Two national, New York-based nonprofit organizations -- MDRC, a nonpartisan social policy research firm, and Seedco, a workforce and economic development organization -- worked in close partnership with CEO to design the demonstration. Seedco, together with a small network of local community-based organizations, is operating Family Rewards, and MDRC is conducting the evaluation and managing the overall demonstration. A consortium of private funders is supporting the project.1This report presents the initial findings from an ongoing and comprehensive evaluation of Family Rewards. It examines the program's implementation in the field and families' responses to it during the first two of its three years of operations. This evaluation period, beginning in September 2007 and ending in August 2009, encompasses a start-up phase as well as a stage when the program was beginning to mature. The report also presents early findings on the program's effects, or "impacts," on a wide range of outcome measures. For some measures, the results cover only the first program year, while for others they also cover part or all of the second year. No data are available yet on the third year. The evaluation findings are based on analyses of a wide variety of administrative records data, responses to a survey of parents that was administered about 18 months after random assignment, and qualitative in-depth interviews with program staff and families.Overall, this study shows that, despite an extraordinarily rapid start-up and early challenges, the program was operating largely as intended by its second year. Although many families struggled with the complexity of the program, most were substantially engaged with it and received a large amount of money for meeting the conditions it established. During the period covered by the report, Family Rewards reduced current poverty (its main short-term goal) and produced a range of effects on a variety of outcomes across all three program domains (children's education, family health care, and parents' work and training)
Habitual Chocolate Consumption May Increase Body Weight in a Dose-Response Manner
Objective Habitual chocolate intake was recently found to be associated with lower body weight in three cross-sectional epidemiological studies. Our objective was to assess whether these cross-sectional results hold up in a more rigorous prospective analysis. Methods We used data from the Atherosclerosis Risk in Communities cohort. Usual dietary intake was assessed by questionnaire at baseline (1987–98), and after six years. Participants reported usual chocolate intake as the frequency of eating a 1-oz (∼28 g) serving. Body weight and height were measured at the two visits. Missing data were replaced by multiple imputation. Linear mixed-effects models were used to evaluate cross-sectional and prospective associations between chocolate intake and adiposity. Results Data were from 15,732 and 12,830 participants at the first and second visit, respectively. More frequent chocolate consumption was associated with a significantly greater prospective weight gain over time, in a dose-response manner. For instance, compared to participants who ate a chocolate serving less often than monthly, those who ate it 1–4 times a month and at least weekly experienced an increase in Body Mass Index (kg/m2) of 0.26 (95% CI 0.08, 0.44) and 0.39 (0.23, 0.55), respectively, during the six-year study period. In cross-sectional analyses the frequency of chocolate consumption was inversely associated with body weight. This inverse association was attenuated after excluding participants with preexisting obesity-related illness. Compared to participants without such illness, those with it had higher BMI and reported less frequent chocolate intake, lower caloric intake, and diets richer in fruits and vegetables. They tended to make these dietary changes after becoming ill. Conclusions Our prospective analysis found that a chocolate habit was associated with long-term weight gain, in a dose-response manner. Our cross-sectional finding that chocolate intake was associated with lower body weight did not apply to participants without preexisting serious illness
Interactive design of complex time-dependent lighting
Visualizing complicated lighting sequences while designing large theatrical productions proves difficult. The author provides some techniques that achieve fast interaction regardless of scene and lighting complexity, even when used with costly rendering algorithms
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