Automated Grading of Handwritten Numerical Answers

The objective of this project was to automate the process of grading handwritten numerical answers in a classroom setting. The final program accepts a scanned answer sheet completed by the student along with a description of the correct answers and produces a detailed report describing the confidence of correctness for each answer. Computer vision techniques are used to automatically locate the locations of the answers in the scan. Each digit is then passed through a convolutional neural network to predict what was written by the student. The individual probabilities of each digit produced by the network are aggregated into a single score describing the model’s confidence in the correctness of the answer

Incorporating Emergy Synthesis into Environmental Law: An Integration of Ecology, Economics, and Law

Emergy synthesis, flrst developed by Dr. Howard T. Odum in the 1970s, and further expanded and refined by other scholars over the past thirty years, has the potential to transform environmental decisionmaking by providing a methodology that can integrate ecology, economics, and law. Virtually all areas of environmental law are concerned in some way with both the ecological and the economic impacts of environmental decision making. Unfortunately, existing environmental law statutes tend to incorporate ecological and economic considerations in a simplistic, piecemeal, and awkward fashion. Emergy synthesis incorporates both ecological and economic considerations through a sophisticated scientiic methodology. Emergy synthesis relies on the intrinsic value of a resource or service rather than relying on consumer preferences. Accordingly, emergy synthesis is referred to as a donor value system as it is based on the principle that the energy embodied in a resource or service determines its value. In recent years, emergy synthesis has reached a high level of sophistication with increasing acceptance by the scientific community and scholars worldwide. However, to date, this approach has not been embraced, or even seriously considered, by the legal community. This interdisciplinary Article explores the viability of incorporating the methods of emergy synthesis into environmental law and policy decision making. Specifically, this Article examines the viability of emergy synthesis in decision making by analyzing the advantages it offers and the mechanics of how to employ it in a variety of different contexts, using a number of existing statutory frameworks as illustrations, including the cost-benefit standard of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the pure science standard of the Endangered Species Act (ESA). This Article demonstrates that emergy synthesis has the potential, not only to inform the law, but also to revolutionize environmental decision making by providing a well-developed scientific methodology that addresses both ecological and economic considerations in a comprehensive manner

Incorporating Emergy Synthesis into Environmental Law: An Integration of Ecology, Economics, and Law

Emergy synthesis, flrst developed by Dr. Howard T. Odum in the 1970s, and further expanded and refined by other scholars over the past thirty years, has the potential to transform environmental decisionmaking by providing a methodology that can integrate ecology, economics, and law. Virtually all areas of environmental law are concerned in some way with both the ecological and the economic impacts of environmental decision making. Unfortunately, existing environmental law statutes tend to incorporate ecological and economic considerations in a simplistic, piecemeal, and awkward fashion. Emergy synthesis incorporates both ecological and economic considerations through a sophisticated scientiic methodology. Emergy synthesis relies on the intrinsic value of a resource or service rather than relying on consumer preferences. Accordingly, emergy synthesis is referred to as a donor value system as it is based on the principle that the energy embodied in a resource or service determines its value. In recent years, emergy synthesis has reached a high level of sophistication with increasing acceptance by the scientific community and scholars worldwide. However, to date, this approach has not been embraced, or even seriously considered, by the legal community. This interdisciplinary Article explores the viability of incorporating the methods of emergy synthesis into environmental law and policy decision making. Specifically, this Article examines the viability of emergy synthesis in decision making by analyzing the advantages it offers and the mechanics of how to employ it in a variety of different contexts, using a number of existing statutory frameworks as illustrations, including the cost-benefit standard of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the pure science standard of the Endangered Species Act (ESA). This Article demonstrates that emergy synthesis has the potential, not only to inform the law, but also to revolutionize environmental decision making by providing a well-developed scientific methodology that addresses both ecological and economic considerations in a comprehensive manner

How limiting factors drive agricultural adaptation to climate change.

Consensus is growing that agriculture is vulnerable to climate change and adaptation responses are necessary to minimize impacts. Nonetheless, the diversity of potential impacts, agro-ecological contexts and regional capacity for change make understanding adaptation behaviors challenging and ensure that climate change adaptation will not be the same across all contexts. Considering this heterogeneity, this paper aims to develop a theoretical approach to connect agro-ecosystem diversity with farmer decision-making in the context of agricultural adaptation to climate change. We combine the ecological principle of Liebig’s Law of the Minimum with the Psychological Distance Theory to suggest how adaptation behaviors vary across regional contexts. We argue with our limiting factors hypothesis that limiting factors within a farm system (water or temperature impacts) influence the adoption of adaptation practices differently across regions and farm systems. Limiting factors varied across farm systems and regions, based on historical climate changes, agro-ecological contexts, infrastructure and adaptation capacity. Using farmer survey data from New Zealand we show that limiting factors mediate the effect of past climate experiences on the adoption of adaptation strategies differently in two regions with water acting as a limiting factor in Hawke’s Bay and water and temperature as a limiting factor in Marlborough. This suggests that farmers perceive and respond to climate change in part due to their personal experiences with climate change and the limiting factors within their system. Such results are relevant for the development of regional adaptation strategies, effective policies and targeted climate change communication

Modelling Financial Satisfaction Across Life Stages: A Latent Class Approach

We explore the determinants of financial satisfaction using a modelling framework which allows the drivers of financial satisfaction to vary across life stages. Given that financial satisfaction is measured as an ordered variable, our modelling approach is based on a latent class ordered probit model with an ordered probit class assignment function. Our analysis of household survey data indicates that four life stages are supported by the data. Our results suggest that such flexibility is important in understanding the drivers of financial satisfaction over the life cycle since there is a substantial amount of parameter heterogeneity across the four classes

Shockwaves in converging geometries

Plate impact experiments are a powerful tool in equation of state (EOS) development, but are inherently limited by the range of impact velocities accessible to the gun. In an effort to dramatically increase the range of pressures which can be studied with available impact velocities, a new experimental technique is being developed. The possibility of using a confined converging target to focus Shockwaves and produce a large amplitude pressure pulse is examined. When the planar shock resulting from impact enters the converging target the impedance mismatch at the boundary of the confinement produces reflected Mach waves and the subsequent wave interactions produce a diffraction cycle resulting in increases in the shock strength with each cycle. Since this configuration is limited to relatively low impedance targets, a second technique is proposed in which the target is two concentric cylinders designed such that the inner cylinder will have a lower shock velocity than the much larger shock velocity in the outer cylinder. The resulting dispersion in the wave front creates converging shocks, which will interact and eventually result in a steady Mach configuration with an increase in pressure in the Mach disk. Numerical simulations indicate a significant increase in pressure for both methods and show promise for the proposed concepts

NASA Education Activities on the International Space Station: A National Laboratory for Inspiring, Engaging, Educating and Employing the Next Generation

The International Space Station (ISS) National Lab Education Project has been created as a part of the ISS National Lab effort mandated by the U.S. Congress The project seeks to expand ISS education of activities so that they reach a larger number of students with clear educational metrics of accomplishments. This paper provides an overview of several recent ISS educational payloads and activities. The expected outcomes of the project, consistent with those of the NASA Office of Education, are also described. NASA performs numerous education activities as part of its ISS program. These cover the gamut from formal to informal educational opportunities in grades Kindergarten to grade 12, Higher Education (undergraduate and graduate University) and informal educational venues (museums, science centers, exhibits). Projects within the portfolio consist of experiments performed onboard the ISS using onboard resources which require no upmass, payloads flown to ISS or integrated into ISS cargo vehicles, and ground based activities that follow or complement onboard activities. Examples include ground based control group experiments, flight or experiment following lesson plans, ground based activities involving direct interaction with ISS or ground based activities considering ISS resources in their solution set. These projects range from totally NASA funded to projects which partner with external entities. These external agencies can be: other federal, state or local government agencies, commercial entities, universities, professional organizations or non-profit organizations. This paper will describe the recent ISS education activities and discuss the approach, outcomes and metrics associated with the projects

Comparison of mechanistic models in the initial rate enzymatic hydrolysis of AFEX-treated wheat straw

<p>Abstract</p> <p>Background</p> <p>Different mechanistic models have been used in the literature to describe the enzymatic hydrolysis of pretreated biomass. Although these different models have been applied to different substrates, most of these mechanistic models fit into two- and three-parameter mechanistic models. The purpose of this study is to compare the models and determine the activation energy and the enthalpy of adsorption of <it>Trichoderma reesei </it>enzymes on ammonia fibre explosion (AFEX)-treated wheat straw. Experimental enzymatic hydrolysis data from AFEX-treated wheat straw were modelled with two- and three-parameter mechanistic models from the literature. In order to discriminate between the models, initial rate data at 49°C were subjected to statistical analysis (analysis of variance and scatter plots).</p> <p>Results</p> <p>For three-parameter models, the HCH-1 model best fitted the experimental data; for two-parameter models Michaelis-Menten (M-M) best fitted the experimental data. All the three-parameter models fitted the data better than the two-parameter models. The best three models at 49°C (HCH-1, Huang and M-M) were compared using initial rate data at three temperatures (35°, 42° and 49°C). The HCH-1 model provided the best fit based on the F values, the scatter plot and the residual sum of squares. Also, its kinetic parameters were linear in Arrhenius/van't Hoff's plots, unlike the other models. The activation energy (<it>Ea</it>) is 47.6 kJ/mol and the enthalpy change of adsorption (Δ<it>H</it>) is -118 kJ/mol for <it>T. reesei </it>enzymes on AFEX-treated wheat straw.</p> <p>Conclusion</p> <p>Among the two-parameter models, Michaelis-Menten model provided the best fit compared to models proposed by Humphrey and Wald. For the three-parameter models, HCH-1 provided the best fit because the model includes a fractional coverage parameter (ϕ) which accounts for the number of reactive sites covered by the enzymes.</p

The Intermediate Luminosity Optical Transient SN 2010da: The Progenitor, Eruption and Aftermath of a Peculiar Supergiant High-mass X-ray Binary

We present optical spectroscopy, ultraviolet to infrared imaging and X-ray observations of the intermediate luminosity optical transient (ILOT) SN 2010da in NGC 300 (d=1.86 Mpc) spanning from -6 to +6 years relative to the time of outburst in 2010. Based on the light curve and multi-epoch SEDs of SN 2010da, we conclude that the progenitor of SN 2010da is a ~10-12 Msol yellow supergiant possibly transitioning into a blue loop phase. During outburst, SN 2010da had a peak absolute magnitude of M<-10.4 mag, dimmer than other ILOTs and supernova impostors. We detect multi-component hydrogen Balmer, Paschen, and Ca II emission lines in our high-resolution spectra, which indicate a dusty and complex circumstellar environment. Since the 2010 eruption, the star has brightened by a factor of ~5 and remains highly variable in the optical. Furthermore, we detect SN 2010da in archival Swift and Chandra observations as an ultraluminous X-ray source (L~6x10^{39} erg/s). We additionally attribute He II 4686 Angstrom and coronal Fe emission lines in addition to a steady X-ray luminosity of ~10^{37} erg/s to the presence of a compact companion.Comment: published; updated citations and other minor edit

Receptive Field Block Net for Accurate and Fast Object Detection

Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs. Conversely, some lightweight model based detectors fulfil real time processing, while their accuracies are often criticized. In this paper, we explore an alternative to build a fast and accurate detector by strengthening lightweight features using a hand-crafted mechanism. Inspired by the structure of Receptive Fields (RFs) in human visual systems, we propose a novel RF Block (RFB) module, which takes the relationship between the size and eccentricity of RFs into account, to enhance the feature discriminability and robustness. We further assemble RFB to the top of SSD, constructing the RFB Net detector. To evaluate its effectiveness, experiments are conducted on two major benchmarks and the results show that RFB Net is able to reach the performance of advanced very deep detectors while keeping the real-time speed. Code is available at https://github.com/ruinmessi/RFBNet.Comment: Accepted by ECCV 201