Advocating for a Safe and Supportive School Environment: A Policy Advocacy Document

This proposed policy advocates for Chicago Public Schools (CPS) to adopt the Safe and Supportive School Environment Improvement Plan. This improvement plan would be mandated for all schools that demonstrate low ratings on the 5Essentials Survey in the area of supportive environment and do not show academic improvement. The city of Chicago has implemented several projects to reform schools. The development of safe and supportive school environments has not been one of these initiatives, although there is ample data that identify which CPS schools have environments that are not conducive to learning. There is also ample research that supports the academic gains made in schools with positive learning environments regardless of family income levels

Component-aware Orchestration of Cloud-based Enterprise Applications, from TOSCA to Docker and Kubernetes

Enterprise IT is currently facing the challenge of coordinating the management of complex, multi-component applications across heterogeneous cloud platforms. Containers and container orchestrators provide a valuable solution to deploy multi-component applications over cloud platforms, by coupling the lifecycle of each application component to that of its hosting container. We hereby propose a solution for going beyond such a coupling, based on the OASIS standard TOSCA and on Docker. We indeed propose a novel approach for deploying multi-component applications on top of existing container orchestrators, which allows to manage each component independently from the container used to run it. We also present prototype tools implementing our approach, and we show how we effectively exploited them to carry out a concrete case study

IS AGRICULTURAL RESEARCH STILL A PUBLIC GOOD?

The nature of public agricultural research changed in 1980 when the Bayh-Dole Act allowed universities to retain title to inventions that were created with Federal funds, and the court case Diamond v. Chakrabarty allowed patenting of living tissue and eventually other bio-engineered products. In 1997, over 2,300 new licenses and options were executed on academic life-sciences property. This raises the questions agricultural research still be a public good? This paper is a critical first step in understanding how increasingly private ownership of intellectual property affects the agribusiness environment and the evolving role of public agricultural research institutions. The innovative step in this paper is the development of a formal economic model which represents the role of applied biotech research in the agricultural life sciences. The model is built around neo-Schumpeterian ideas of endogenous innovation and growth. The most salient implications for the role of the public sector are(1)The private sector underinvests in applied R&D activity. (2) Concentration in the large-firm, life-science R&D industry increases over time. (3) The life-science revolution is reducing the number of markets, in the short run. This reduction in the number of niche markets diminishes the role of the public sector. (4) There is a role for the public sector in conducting R&D in niche markets. (5) In the long run, the life-science revolution may also create new niche markets. (6) There is a role for the public sector in the provision of basic research which increases the productivity of applied R&D.Research and Development/Tech Change/Emerging Technologies,

CYCLICAL CONCENTRATION AND CONSOLIDATION IN BIOTECH R&D: A NEO-SCHUMPETERIAN MODEL

Over the past fifteen years, the agricultural biotechnology industry has exhibited cyclical behavior in concentration and consolidation. This paper provides a theoretical model of endogenous R&D, in which industry concentration exhibits cyclical behavior. The model also generates additional testable hypotheses, and policy implications.Industrial Organization, Research and Development/Tech Change/Emerging Technologies,

Scalable Mining of Common Routes in Mobile Communication Network Traffic Data

A probabilistic method for inferring common routes from mobile communication network traffic data is presented. Besides providing mobility information, valuable in a multitude of application areas, the method has the dual purpose of enabling efficient coarse-graining as well as anonymisation by mapping individual sequences onto common routes. The approach is to represent spatial trajectories by Cell ID sequences that are grouped into routes using locality-sensitive hashing and graph clustering. The method is demonstrated to be scalable, and to accurately group sequences using an evaluation set of GPS tagged data

funcX: A Federated Function Serving Fabric for Science

Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approaches must enable computation to be mobile, so that, for example, it can occur near data, be triggered by events (e.g., arrival of new data), be offloaded to specialized accelerators, or run remotely where resources are available. They also require new design approaches in which monolithic applications can be decomposed into smaller components, that may in turn be executed separately and on the most suitable resources. To address these needs we present funcX---a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. funcX's endpoint software can transform existing clouds, clusters, and supercomputers into function serving systems, while funcX's cloud-hosted service provides transparent, secure, and reliable function execution across a federated ecosystem of endpoints. We motivate the need for funcX with several scientific case studies, present our prototype design and implementation, show optimizations that deliver throughput in excess of 1 million functions per second, and demonstrate, via experiments on two supercomputers, that funcX can scale to more than more than 130000 concurrent workers.Comment: Accepted to ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020). arXiv admin note: substantial text overlap with arXiv:1908.0490

Stress corrosion in titanium alloys and other metallic materials

Multiple physical and chemical techniques including mass spectroscopy, atomic absorption spectroscopy, gas chromatography, electron microscopy, optical microscopy, electronic spectroscopy for chemical analysis (ESCA), infrared spectroscopy, nuclear magnetic resonance (NMR), X-ray analysis, conductivity, and isotopic labeling were used in investigating the atomic interactions between organic environments and titanium and titanium oxide surfaces. Key anhydrous environments studied included alcohols, which contain hydrogen; carbon tetrachloride, which does not contain hydrogen; and mixtures of alcohols and halocarbons. Effects of dissolved salts in alcohols were also studied. This program emphasized experiments designed to delineate the conditions necessary rather than sufficient for initiation processes and for propagation processes in Ti SCC

Gestures Everywhere: A Multimodal Sensor Fusion and Analysis Framework for Pervasive Displays

Gestures Everywhere is a dynamic framework for multimodal sensor fusion, pervasive analytics and gesture recognition. Our framework aggregates the real-time data from approximately 100 sensors that include RFID readers, depth cameras and RGB cameras distributed across 30 interactive displays that are located in key public areas of the MIT Media Lab. Gestures Everywhere fuses the multimodal sensor data using radial basis function particle filters and performs real-time analysis on the aggregated data. This includes key spatio-temporal properties such as presence, location and identity; in addition to higher-level analysis including social clustering and gesture recognition. We describe the algorithms and architecture of our system and discuss the lessons learned from the systems deployment

Building a personal symbolic space model from GSM CellID Positioning Data

Série : Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 7The context in which a person uses a mobile context-aware application can be described by many dimensions, including the, most popular, location and position. Some of the data used to describe these dimensions can be acquired directly from sensors or computed by reasoning algorithms. In this paper we propose to contextualize the mobile user of context-aware applications by describing his/her location in a symbolic space model as an alternative to the use of a position represented by a pair of coordinates in a geometric absolute referential. By exploiting the ubiquity of GSM networks, we describe a method to progressively create this symbolic and personal space model, and propose an approach to compute the level of familiarity a person has with each of the identified places. The validity of the developed model is evaluated by comparing the identified places and the computed values for the familiarity index with a ground truth represented by GPS data and the detailed agenda of a few persons