The Financial Value of a Higher Education

Five years have passed since the U.S. Census Bureau published synthetic estimates of work-life earnings by educational attainment. This paper updates those figures with the most recent data from the U.S. Census Bureau\u27s annual Current Population Surveys, and adds net present value analysis of the financial benefit of a college degree to the individual and to the federal government. The added value of a bachelor\u27s degree over a high school diploma or GED has increased to $1.2 million in 2005 from$910,000 in 1997-1999. Compared with the average out-of-pocket costs of a college education, this represents a return on investment in excess of 27%. The added value also corresponds to an additional $133,000 in cumulative federal income tax revenue. Accordingly, it would be financially worthwhile for the federal government to replace loans with grants in the financial aid packages of low income students if this yielded at least a 32% increase in the number of low income students graduating with bachelor\u27s degrees

Glutamatergic correlates of gamma-band oscillatory activity during cognition: a concurrent ER-MRS and EEG study

Frequency specific synchronisation of neuronal firing within the gamma-band (30-70 Hz) appears to be a fundamental correlate of both basic sensory and higher cognitive processing. In-vitro studies suggest that the neurochemical basis of gamma-band oscillatory activity is based on interactions between excitatory (i.e. glutamate) and inhibitory (i.e. GABA) neurotransmitter concentrations. However, the nature of the relationship between excitatory neurotransmitter concentration and changes in gamma band activity in humans remains undetermined. Here, we examine the links between dynamic glutamate concentration and the formation of functional gamma-band oscillatory networks. Using concurrently acquired event-related magnetic resonance spectroscopy and electroencephalography, during a repetition-priming paradigm, we demonstrate an interaction between stimulus type (object vs. abstract pictures) and repetition in evoked gamma-band oscillatory activity, and find that glutamate levels within the lateral occipital cortex, differ in response to these distinct stimulus categories. Importantly, we show that dynamic glutamate levels are related to the amplitude of stimulus evoked gamma-band (but not to beta, alpha or theta or ERP) activity. These results highlight the specific connection between excitatory neurotransmitter concentration and amplitude of oscillatory response, providing a novel insight into the relationship between the neurochemical and neurophysiological processes underlying cognition

31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two

Background The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd. Methods We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background. Results First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001). Conclusions In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival

Portable utilities for Common Lisp user guide & implementation notes

Abstract: "One of the most frequent complaints in the Lisp community is the lack of availability of programming tools. This document describes portable implementations of six tools for the development and maintenance of Common Lisp programs: XREF, a Lisp code cross referencer; METERING, a timing and consing code profiler; DEFSYSTEM, a 'make' for Lisp; LOGICAL-PATHNAMES, portable pathnames for Lisp; SOURCE-COMPARE, a 'diff' for Lisp; and USER-MANUAL, a program which extracts documentation for Lisp programs. All six tools are publicly available via anonymous ftp.

A General Formulation of Neutron Noise for Fast Reactor Systems

286 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.A general space- and energy-dependent formalism is developed in order to analyze zero-power neutron noise experiments in fast reactor systems. A generalized dispersion equation is combined with theoretical expressions for the experimentally measured power spectral density and variance-to-mean ratio which makes it possible to express these quantities in terms of a double moment of the Laplace and Fourier transformed Green's function of a slowing-down operator rather than those of the full Boltzmann operator.Several spatial approximations are analyzed in the context of the general formalism. In each case, the power spectral density and variance-to-mean ratio are written in terms of an appropriate fast reactor dispersion law for the medium which can be calculated from the solution to a simple slowing-down equation. The resultant expressions for the power spectral density are analyzed for various combinations of neutron migration descriptions, slowing-down kernels, fission spectrum and cross section models, and detector geometries. The combinations are chosen so to determine the effects of the diffusion theory approximation, detector geometry, reactor geometry, and energy-dependent neutron migration descriptions on the power spectral density, and to evaluate the significance of various space and energy effects in the determination of subcritical reactivity from power spectral density measurements. The results of these analyses demonstrate that energy-dependent descriptions of neutron migration are extremely important in the determination of reliable and accurate subcritical reactivities from power spectral density measurements in fast reactor systems. In addition, they provide a firm foundation for the understanding and proper interpretation of zero-power neutron noise measurements in all types of reactor systems.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

Integrated Natural Language Generation Systems

Many existing natural language generation systems can be characterized according to their modularization as either pipelined or interleaved. In these separated systems, the generator is divided into several modules (e.g., planning and realization), with control and information passing between the modules during the generation process. This paper proposes a third type of generator, which we call integrated, that unifies the modules into a single mechanism. The mechanism uses a small set of orthogonal basic operations to produce planned and grammatical language output. Integrated systems are conceptually attractive and may support generation of pragmatic effects more effectively than other systems. After discussing the advantages of the integrated approach, we summarize GLINDA, an integrated generator currently under development at Carnegie Mellon. GLINDA is the generator used for narration and intercharacter communication in the Oz Interactive Fiction and Virtual Reality Project

Summarizing Text Documents: Sentence Selection and Evaluation Metrics

Human-quality text summarization systems are difficult to design, and even more difficult to evaluate, in part because documents can differ along several dimensions, such as length, writing style and lexical usage. Nevertheless, certain cues can often help suggest the selection of sentences for inclusion in a summary. This paper presents our analysis of news-article summaries generated by sentence selection. Sentences are ranked for potential inclusion in the summary using a weighted combination of statistical and linguistic features. The statistical features were adapted from standard IR methods. The potential linguistic ones were derived from an analysis of news-wire summaries. Toevaluate these features we use a normalized version of precision-recall curves, with a baseline of random sentence selection, as well as analyze the properties of such a baseline. We illustrate our discussions with empirical results showing the importance of corpus-dependent baseline summarization standards, compression ratios and carefully crafted long queries