The Elusive Ideal: Civic Learning and Higher Education

General book description: From curriculum standards and testing to school choice and civic learning, issues in American education are some of the most debated in the United States. The Institutions of American Democracy , a collection of essays by the nation\u27s leading education scholars and professionals, is designed to inform the debate and stimulate change. In association with the Annenberg Foundation Trust at Sunnylands and the Annenberg Public Policy Center at the University of Pennsylvania, The Institutions of American Democracy is the first in a series of books commissioned to enhance public understanding of the nature and function of democratic institutions. A national advisory board--including, among others, Nancy Kassebaum Baker, David Boren, John Brademas, Ellen Condliffe Lagemann, David Gergen, and Lee Hamilton--will guide the vision of the project, which includes future volumes on the press and the three branches of government. Each essay in The Institutions of American Democracy addresses essential questions for policymakers, educators, and anyone committed to public education. What role should public education play in a democracy? How has that role changed through American history? Have the schools lost sight of their responsibility to teach civics and citizenship? How are current debates about education shaping the future of this democratic institution

The Effects of Jury Ignorance About Damage Caps: The Case of the 1991 Civil Rights Act

The 1991 Civil Rights Act revolutionized employment discrimination litigation by allowing for compensatory and punitive damages. At the same time, however, the Act capped those damages and forbade courts from informing jurors about the cap. This Article explores the effects of this imposed secrecy on the jury deliberation process and on the jury system itself. First, our article delves into the wealth of psychological literature about jury decision-making to determine how disclosing or hiding the caps might affect the jury\u27s damage calculations. We explore decision-making biases and heuristics that might systematically affect the jurors\u27 judgment about damage awards, and discuss how those awards might be changed if jurors were informed of the caps. Second, we discuss the potential effects that such secrecy has on perceptions of the legitimacy and fairness of the jury system, through its impact on parties, attorneys, and jurors. We conclude, in light of relevant psychological literature, that disclosure of the caps is likely to affect the jury\u27s decision-making process, but that non-disclosure has the potential to threaten the integrity of the jury system more broadly, because hiding the caps could result in a failure of procedural justice that would affect the integrity of the judicial process. Ultimately, we argue that disclosing the caps, particularly if included within a framework of additional information about the purpose of compensatory and punitive damages, would result in better jury awards and more public satisfaction with the judicial system

The Effects of Jury Ignorance About Damage Caps: The Case of the 1991 Civil Rights Act

The 1991 Civil Rights Act revolutionized employment discrimination litigation by allowing for compensatory and punitive damages. At the same time, however, the Act capped those damages and forbade courts from informing jurors about the cap. This Article explores the effects of this imposed secrecy on the jury deliberation process and on the jury system itself. First, our article delves into the wealth of psychological literature about jury decision-making to determine how disclosing or hiding the caps might affect the jury\u27s damage calculations. We explore decision-making biases and heuristics that might systematically affect the jurors\u27 judgment about damage awards, and discuss how those awards might be changed if jurors were informed of the caps. Second, we discuss the potential effects that such secrecy has on perceptions of the legitimacy and fairness of the jury system, through its impact on parties, attorneys, and jurors. We conclude, in light of relevant psychological literature, that disclosure of the caps is likely to affect the jury\u27s decision-making process, but that non-disclosure has the potential to threaten the integrity of the jury system more broadly, because hiding the caps could result in a failure of procedural justice that would affect the integrity of the judicial process. Ultimately, we argue that disclosing the caps, particularly if included within a framework of additional information about the purpose of compensatory and punitive damages, would result in better jury awards and more public satisfaction with the judicial system

A bulky glycocalyx fosters metastasis formation by promoting G1 cell cycle progression.

Metastasis depends upon cancer cell growth and survival within the metastatic niche. Tumors which remodel their glycocalyces, by overexpressing bulky glycoproteins like mucins, exhibit a higher predisposition to metastasize, but the role of mucins in oncogenesis remains poorly understood. Here we report that a bulky glycocalyx promotes the expansion of disseminated tumor cells in vivo by fostering integrin adhesion assembly to permit G1 cell cycle progression. We engineered tumor cells to display glycocalyces of various thicknesses by coating them with synthetic mucin-mimetic glycopolymers. Cells adorned with longer glycopolymers showed increased metastatic potential, enhanced cell cycle progression, and greater levels of integrin-FAK mechanosignaling and Akt signaling in a syngeneic mouse model of metastasis. These effects were mirrored by expression of the ectodomain of cancer-associated mucin MUC1. These findings functionally link mucinous proteins with tumor aggression, and offer a new view of the cancer glycocalyx as a major driver of disease progression

Technology ready use of single layer graphene as a transparent electrode for hybrid photovoltaic devices

Graphene has been used recently as a replacement for indium tin oxide (ITO) for the transparent electrode of an organic photovoltaic device. Due to its limited supply, ITO is considered as a limiting factor for the commercialization of organic solar cells. We explored the use of large-area graphene grown on copper by chemical vapor deposition (CVD) and then transferred to a glass substrate as an alternative transparent electrode. The transferred film was shown by scanning Raman spectroscopy measurements to consist of >90% single layer graphene. Optical spectroscopy measurements showed that the layer-transferred graphene has an optical absorbance of 1.23% at a wavelength of 532 nm. We fabricated organic hybrid solar cells utilizing this material as an electrode and compared their performance with ITO devices fabricated using the same procedure. We demonstrated power conversion efficiency up to 3.98%, higher than that of the ITO device (3.86%), showing that layer-transferred graphene promises to be a high quality, low-cost, flexible material for transparent electrodes in solar cell technology.Comment: 6 pages, 3 figure

Classifying Organizations for Food System Ontologies using Natural Language Processing

Our research explores the use of natural language processing (NLP) methods to automatically classify entities for the purpose of knowledge graph population and integration with food system ontologies. We have created NLP models that can automatically classify organizations with respect to categories associated with environmental issues as well as Standard Industrial Classification (SIC) codes, which are used by the U.S. government to characterize business activities. As input, the NLP models are provided with text snippets retrieved by the Google search engine for each organization, which serves as a textual description of the organization that is used for learning. Our experimental results show that NLP models can achieve reasonably good performance for these two classification tasks, and they rely on a general framework that could be applied to many other classification problems as well. We believe that NLP models represent a promising approach for automatically harvesting information to populate knowledge graphs and aligning the information with existing ontologies through shared categories and concepts.Comment: Presented at IFOW 2023 Integrated Food Ontology Workshop at the Formal Ontology in Information Systems Conference (FOIS) 2023 in Sherbrooke, Quebec, Canada July 17-20th, 202

Frequency-Dependent Spatial Distribution of Functional Hubs in the Human Brain and Alterations in Major Depressive Disorder

Alterations in large-scale brain intrinsic functional connectivity (FC), i.e., coherence between fluctuations of ongoing activity, have been implicated in major depressive disorder (MDD). Yet, little is known about the frequency-dependent alterations of FC in MDD. We calculated frequency specific degree centrality (DC) – a measure of overall FC of a brain region – within 10 distinct frequency sub-bands accessible from the full range of resting-state fMRI BOLD fluctuations (i.e., 0.01–0.25 Hz) in 24 healthy controls and 24 MDD patients. In healthy controls, results reveal a frequency-specific spatial distribution of highly connected brain regions – i.e., hubs – which play a fundamental role in information integration in the brain. MDD patients exhibited significant deviations from the healthy DC patterns, with decreased overall connectedness of widespread regions, in a frequency-specific manner. Decreased DC in MDD patients was observed predominantly in the occipital cortex at low frequencies (0.01–0.1 Hz), in the middle cingulate cortex, sensorimotor cortex, lateral parietal cortex, and the precuneus at middle frequencies (0.1–0.175 Hz), and in the anterior cingulate cortex at high frequencies (0.175–0.25 Hz). Additionally, decreased DC of distinct parts of the insula was observed across low, middle, and high frequency bands. Frequency-specific alterations in the DC of the temporal, insular, and lateral parietal cortices correlated with symptom severity. Importantly, our results indicate that frequency-resolved analysis within the full range of frequencies accessible from the BOLD signal – also including higher frequencies (>0.1 Hz) – reveals unique information about brain organization and its changes, which can otherwise be overlooked

Ten Simple Rules for Responsible Big Data Research

The use of big data research methods has grown tremendously over the past five years in both academia and industry. As the size and complexity of available datasets has grown, so too have the ethical questions raised by big data research. These questions become increasingly urgent as data and research agendas move well beyond those typical of the computational and natural sciences, to more directly address sensitive aspects of human behavior, interaction, and health. The tools of big data research are increasingly woven into our daily lives, including mining digital medical records for scientific and economic insights, mapping relationships via social media, capturing individuals’ speech and action via sensors, tracking movement across space, shaping police and security policy via “predictive policing,” and much more