Study as Form-of-Life: Meditations on Schooling, Enjoyment, and the Inoperative Life

The aim of this thesis is to explore what potential that the concept of \u27inoperativity\u27 has in the philosophy and theory of education. I will discuss the method of critique used which aims to think through the problems in existing theory rather than discard good thinking when problems are found. The strengths and weaknesses of deschooling and democratic approaches will be at the center of this critique. As a response to the weaknesses of both, the philosophy of Emmanuel Levinas, focusing on the way that interiority and enjoyment are essential concepts for the philosophy of education, as well as Giorgio Agamben, the philosopher of form-of-life, will be analyzed, demonstrating that we might find something vitally important in an inoperative understanding of concepts like study and and school

Confluence: A Seminar Series as a Teaching Tool ?

In 2007 Florida International University (FIU) received NIH, NSF, and internal support to create a curriculum that was quantitative in nature, and that incorporated some of the most contemporary approaches to the classroom. The QBIC (Quantifying Biology In the Classroom; http://qbic. fiu.edu) Program is a specialized program in the Department of Biology specifically set up to implement ‘vision and change’ principles in the department’s overall approach to students. It is now an optional track within the Department of Biological Sciences. We discuss the major objectives of this series, the affect areas that it addresses, as well as how students incorporate the series’ lessons for their own professional development. It became apparent to us anecdotally that our undergraduates were making career choices without the awareness of the many other viable career options in biology. This is not an issue unique to our institution and other authors (1) have discussed steps to address career choice and exposure. At our institution, we created a number of career development initiatives, one of which was a seminar series called “Confluence: where life and science meet.” For this series we invite science professionals from around the country to give a seminar, mostly to undergraduates, not only on the technical specifics of their field, but also on their personal life story, and how that story informed their career choice. After the seminar, the speaker sits down with a QBIC faculty member for a half-hour interview where he or she is able to go into more specifics about the themes from the seminar. The interview is videotaped in front of a live student-only audience in a film studio on campus. The recording is published on the series’ website (http://qbic.fiu. edu/confluence). In this article we discuss using the series to address issues of identity, and how our video blog can be used in other classrooms to achieve similar objectives for science students nationally

SWIM: A Semi-Analytical Ocean Color Inversion Algorithm for Optically Shallow Waters

In clear shallow waters, light that is transmitted downward through the water column can reflect off the sea floor and thereby influence the water-leaving radiance signal. This effect can confound contemporary ocean color algorithms designed for deep waters where the seafloor has little or no effect on the water-leaving radiance. Thus, inappropriate use of deep water ocean color algorithms in optically shallow regions can lead to inaccurate retrievals of inherent optical properties (IOPs) and therefore have a detrimental impact on IOP-based estimates of marine parameters, including chlorophyll-a and the diffuse attenuation coefficient. In order to improve IOP retrievals in optically shallow regions, a semi-analytical inversion algorithm, the Shallow Water Inversion Model (SWIM), has been developed. Unlike established ocean color algorithms, SWIM considers both the water column depth and the benthic albedo. A radiative transfer study was conducted that demonstrated how SWIM and two contemporary ocean color algorithms, the Generalized Inherent Optical Properties algorithm (GIOP) and Quasi-Analytical Algorithm (QAA), performed in optically deep and shallow scenarios. The results showed that SWIM performed well, whilst both GIOP and QAA showed distinct positive bias in IOP retrievals in optically shallow waters. The SWIM algorithm was also applied to a test region: the Great Barrier Reef, Australia. Using a single test scene and time series data collected by NASA's MODIS-Aqua sensor (2002-2013), a comparison of IOPs retrieved by SWIM, GIOP and QAA was conducted

SWIM: A Semi-Analytical Ocean Color Inversion Algorithm for Optically Shallow Waters

Ocean color remote sensing provides synoptic-scale, near-daily observations of marine inherent optical properties (IOPs). Whilst contemporary ocean color algorithms are known to perform well in deep oceanic waters, they have difficulty operating in optically clear, shallow marine environments where light reflected from the seafloor contributes to the water-leaving radiance. The effect of benthic reflectance in optically shallow waters is known to adversely affect algorithms developed for optically deep waters [1, 2]. Whilst adapted versions of optically deep ocean color algorithms have been applied to optically shallow regions with reasonable success [3], there is presently no approach that directly corrects for bottom reflectance using existing knowledge of bathymetry and benthic albedo.To address the issue of optically shallow waters, we have developed a semi-analytical ocean color inversion algorithm: the Shallow Water Inversion Model (SWIM). SWIM uses existing bathymetry and a derived benthic albedo map to correct for bottom reflectance using the semi-analytical model of Lee et al [4]. The algorithm was incorporated into the NASA Ocean Biology Processing Groups L2GEN program and tested in optically shallow waters of the Great Barrier Reef, Australia. In-lieu of readily available in situ matchup data, we present a comparison between SWIM and two contemporary ocean color algorithms, the Generalized Inherent Optical Property Algorithm (GIOP) and the Quasi-Analytical Algorithm (QAA)

ARADI and LLAMA: Low-Latency Cryptography for Memory Encryption

In this paper, we describe a low-latency block cipher (ARADI) and authenticated encryption mode (LLAMA) intended to support memory encryption applications

The Pioneer Anomaly

Radio-metric Doppler tracking data received from the Pioneer 10 and 11 spacecraft from heliocentric distances of 20-70 AU has consistently indicated the presence of a small, anomalous, blue-shifted frequency drift uniformly changing with a rate of ~6 x 10^{-9} Hz/s. Ultimately, the drift was interpreted as a constant sunward deceleration of each particular spacecraft at the level of a_P = (8.74 +/- 1.33) x 10^{-10} m/s^2. This apparent violation of the Newton's gravitational inverse-square law has become known as the Pioneer anomaly; the nature of this anomaly remains unexplained. In this review, we summarize the current knowledge of the physical properties of the anomaly and the conditions that led to its detection and characterization. We review various mechanisms proposed to explain the anomaly and discuss the current state of efforts to determine its nature. A comprehensive new investigation of the anomalous behavior of the two Pioneers has begun recently. The new efforts rely on the much-extended set of radio-metric Doppler data for both spacecraft in conjunction with the newly available complete record of their telemetry files and a large archive of original project documentation. As the new study is yet to report its findings, this review provides the necessary background for the new results to appear in the near future. In particular, we provide a significant amount of information on the design, operations and behavior of the two Pioneers during their entire missions, including descriptions of various data formats and techniques used for their navigation and radio-science data analysis. As most of this information was recovered relatively recently, it was not used in the previous studies of the Pioneer anomaly, but it is critical for the new investigation.Comment: 165 pages, 40 figures, 16 tables; accepted for publication in Living Reviews in Relativit

Cancer vaccine trial evaluations: immunobridging and potential immunological endpoints

Therapeutic cancer vaccines are an emerging class of immunotherapy, but challenges remain in effectively adapting approved vaccines to a growing number of adjuvants, combination therapies, and antigen-selection methods. Phase III clinical trials remain the gold standard in determining clinical benefit, but are slow and resource intensive, whilst radiological surrogates often fail to reliably predict clinical benefit. Using immunological surrogates of efficacy, deployed in ‘immunobridging trials’, could present a viable alternative, safely speeding up cancer vaccine development in a cost-effective manner. Whilst this approach has proven successful in infectious disease vaccines, identifying reliable immunological correlates of protection has proven difficult for cancer vaccines. Most clinical trials, which present the richest source of data to establish a correlate, rely on peripheral blood samples and standard immunoassays that are ill-equipped to capture the complexity of the vaccine-induced anti-tumour response. This review is the first to outline the importance and challenges of establishing immunological surrogates for cancer vaccines in the context of immunobridging trials, evaluating current immunoassay methods, and highlighting the need for techniques that can characterize tumour-infiltrating lymphocytes and the suppressive tumour microenvironment across a range of patients. The authors propose adapting trial designs for surrogate discovery, including combining phase I/II trials and the use of multi-omics approaches. Successful immunological surrogate development could enable future immunobridging trials to accelerate the optimization of approved cancer vaccines without requiring new phase III trials, promoting faster clinical implementation of scientific advances and patient benefits

SIMON and SPECK: Block Ciphers for the Internet of Things

The U.S. National Security Agency (NSA) developed the SIMON and SPECK families of lightweight block ciphers as an aid for securing applications in very constrained environments where AES may not be suitable. This paper summarizes the algorithms, their design rationale, along with current cryptanalysis and implementation results