An Assessment of Avian Populations Within the FAP 431 Project Area, Cook, Dupage, and Will Counties, Illinois

Final Report, issued June, 1989Report issued on: June 1989INHS Technical Report prepared for Ilinois Department of Transportation, Bureau of Location and Environmen

Implementation of best practices in online learning: A review and future directions

Best practices for helping students learn and retain information have been well established by research in cognitive science (Brown, Roediger, & McDaniel, 2014; Dunlosky, Rawson, Marsh, Nathan, & Willingham, 2013). Specifically, repeated testing has been shown in numerous instances to enhance recall. In particular, we know that students retain information best when it has been recalled versus re-studied (Butler, 2010) and rehearsed with delayed (spaced) versus massed presentation (Cepeda, Pashler, Vul, Wixted, & Rohrer, 2006), and when the items to be studied and later tested are similarly framed (McDaniel, Wildman, & Anderson, 2012). Although these effects were initially demonstrated in laboratory settings, a number of researchers have shown that they generalize to classroom environments (e.g. Vlach & Sandhofer, 2012) and some have demonstrated their utility in fully online courses as well (McDaniel et al., 2012). However, in multiple studies we have found that implementing some of these best practices using publisher-provided textbook technology supplements (TTS) does not meaningfully improve recall (Bell, Simone & Whitfield, 2015; 2016), at least when these supplements are used “out-of-the-box” in face-to-face courses. We conclude when using TTS in an online environment there is a mismatch between student and faculty goals, in that students are motivated by short-term goals of getting high score of a quiz even if the behaviors used to achieve that score do not enhance long-term recall or generalization of the learned material, which typically are the goals of faculty. We argue that TTS can be reconfigured to reinforce meaningful engagement with the material for all students, regardless of learning history or other individual differences of students (e.g., Gluckman, Vlach & Sandhofer, 2014). Actually, in order to continue to require the purchase of these TTS by students, we should determine whether their use is beneficial to all types of students. A related empirical question is whether recall of factual information in an online environment is correlated with the later ability to use that information in a novel situation (generalizability). Whereas some researchers have found that factual information learned via repeated testing does help students to draw inferences about the implications of those facts in later testing (Butler, 2010), others have failed to find a correlation between testing effects and generalizability of the learned material (Gluckman et al., 2014). The literature on this question is still somewhat small, however, (see Carpenter, 2012, for a brief review) and this is particularly true of investigations involving online learning. In this paper we review the existing literature of the spacing benefit and online learning. We end with a proposal for the need of new research specific to the online environment that manipulates delayed repeated testing and examines whether successful retention of factual information promotes long-term application of that material

Technology and Big Data Meet the Risk of Terrorism in an Era of Predictive Policing and Blanket Surveillance

Surveillance studies suffer from a near-total lack of empirical data, partially due to the highly secretive nature of surveillance programs. However, documents leaked by Edward Snowden in June of 2013 provided unprecedented proof of top-secret American data mining initiatives that covertly monitor electronic communications, collect, and store previously unfathomable quantities of data. These documents presented an ideal opportunity for testing theory against data to better understand contemporary surveillance. This qualitative content analysis compared themes of technology, privacy, national security, and legality in the NSA documents to those found in sets of publicly available government reports, laws, and guidelines, finding inconsistencies in the portrayal of governmental commitments to privacy, transparency, and civil liberties. These inconsistencies are best explained by the risk society theoretical model, which predicts that surveillance is an attempt to prevent risk in globalized and complex contemporary societies

Technology and Big Data Meet the Risk of Terrorism in an Era of Predictive Policing and Blanket Surveillance

Surveillance studies suffer from a near-total lack of empirical data, partially due to the highly secretive nature of surveillance programs. However, documents leaked by Edward Snowden in June of 2013 provided unprecedented proof of top-secret American data mining initiatives that covertly monitor electronic communications, collect, and store previously unfathomable quantities of data. These documents presented an ideal opportunity for testing theory against data to better understand contemporary surveillance. This qualitative content analysis compared themes of technology, privacy, national security, and legality in the NSA documents to those found in sets of publicly available government reports, laws, and guidelines, finding inconsistencies in the portrayal of governmental commitments to privacy, transparency, and civil liberties. These inconsistencies are best explained by the risk society theoretical model, which predicts that surveillance is an attempt to prevent risk in globalized and complex contemporary societies

Non-Gaussian fluctuations in stochastic models with absorbing barriers

The dynamics of a one-dimensional stochastic model is studied in presence of an absorbing boundary. The distribution of fluctuations is analytically characterized within the generalized van Kampen expansion, accounting for higher order corrections beyond the conventional Gaussian approximation. The theory is shown to successfully capture the non Gaussian traits of the sought distribution returning an excellent agreement with the simulations, for {\it all times} and arbitrarily {\it close} to the absorbing barrier. At large times, a compact analytical solution for the distribution of fluctuations is also obtained, bridging the gap with previous investigations, within the van Kampen picture and without resorting to alternative strategies, as elsewhere hypothesized.Comment: 2 figures, submitted to Phys. Rev. Let

Stochastic Turing Patterns on a Network

The process of stochastic Turing instability on a network is discussed for a specific case study, the stochastic Brusselator model. The system is shown to spontaneously differentiate into activator-rich and activator-poor nodes, outside the region of parameters classically deputed to the deterministic Turing instability. This phenomenon, as revealed by direct stochastic simulations, is explained analytically, and eventually traced back to the finite size corrections stemming from the inherent graininess of the scrutinized medium.Comment: The movies referred to in the paper are provided upon request. Please send your requests to Duccio Fanelli ([email protected]) or Francesca Di Patti ([email protected]

Can a microscopic stochastic model explain the emergence of pain cycles in patients?

A stochastic model is here introduced to investigate the molecular mechanisms which trigger the perception of pain. The action of analgesic drug compounds is discussed in a dynamical context, where the competition with inactive species is explicitly accounted for. Finite size effects inevitably perturb the mean-field dynamics: Oscillations in the amount of bound receptors spontaneously manifest, driven by the noise which is intrinsic to the system under scrutiny. These effects are investigated both numerically, via stochastic simulations and analytically, through a large-size expansion. The claim that our findings could provide a consistent interpretative framework to explain the emergence of cyclic behaviors in response to analgesic treatments, is substantiated.Comment: J. Stat. Mech. (Proceedings UPON2008

Sulcus Vocalis and Benign Vocal Cord Lesions: Is There Any Relationship?

Background: Sulcus vocalis (SV) is a longitudinal groove in the free edge of the true vocal cord. It may impair phonation with incomplete glottic closure, phonasthenia and hoarseness. This study aims to detect a correlation between benign vocal cord lesions and the incidence of the SV. Methods: A retrospective study was carried out on patients who underwent transoral surgery due to benign vocal fold lesions and were selected according to strict criteria. Patients were divided into a group with sulcus vocalis (Group wSV) and a group without sulcus vocalis (Group w/oSV). The possible correlations between variables were assessed by the Pearson chi-square test (p < 0.05). Results: The study included 232 vocal cord lesions in 229 patients: 62.88% were females whose mean age was 46.61 ± 14.04. The most frequent diseases were polyps (37.94%), nodules (18.53%) and Reinke's edema (21.12%). Statistically significant relationships were found between age and SV (p-value 0.0005) and between mild dysplasia and SV (p-value 0.03). Conclusions: This study did not detect a cause-effect relationship between SV and benign vocal fold lesions. SV within vocal fold lesions is more common in younger patients, suggesting a congenital nature of SV. In conclusion, in the case of a benign vocal fold lesion, a possible SV should be considered and researched to provide the patient the best healthcare

Lactoferrin's anti-cancer properties. Safety, selectivity, and wide range of action

Despite recent advances in cancer therapy, current treatments, including radiotherapy, chemotherapy, and immunotherapy, although beneficial, present attendant side effects and long-term sequelae, usually more or less affecting quality of life of the patients. Indeed, except for most of the immunotherapeutic agents, the complete lack of selectivity between normal and cancer cells for radio- and chemotherapy can make them potential antagonists of the host anti-cancer self-defense over time. Recently, the use of nutraceuticals as natural compounds corroborating anti-cancer standard therapy is emerging as a promising tool for their relative abundance, bioavailability, safety, low-cost effectiveness, and immuno-compatibility with the host. In this review, we outlined the anti-cancer properties of Lactoferrin (Lf), an iron-binding glycoprotein of the innate immune defense. Lf shows high bioavailability after oral administration, high selectivity toward cancer cells, and a wide range of molecular targets controlling tumor proliferation, survival, migration, invasion, and metastasization. Of note, Lf is able to promote or inhibit cell proliferation and migration depending on whether it acts upon normal or cancerous cells, respectively. Importantly, Lf administration is highly tolerated and does not present significant adverse effects. Moreover, Lf can prevent development or inhibit cancer growth by boosting adaptive immune response. Finally, Lf was recently found to be an ideal carrier for chemotherapeutics, even for the treatment of brain tumors due to its ability to cross the blood-brain barrier, thus globally appearing as a promising tool for cancer prevention and treatment, especially in combination therapies