Scientific Excellence in the Forensic Science Community

This Article was prepared as a companion to the Fordham Law Review Reed Symposium on Forensic Expert Testimony, Daubert, and Rule 702, held on October 27, 2017, at Boston College School of Law. The Symposium took place under the sponsorship of the Judicial Conference Advisory Committee on Evidence Rules. For an overview of the Symposium, see Daniel J. Capra, Foreword: Symposium on Forensic Testimony, Daubert, and Rule 702, 86 Fordham L. Rev. 1459 (2018)

A case study using LARSYS for analysis of LANDSAT data

Techniques are described for analysis of LANDSAT multispectral using the LARSYS data processing system

Crop Identification Technology Assessment for Remote Sensing (CITARS)

The results of classifications and experiments performed for the Crop Identification Technology Assessment for Remote Sensing (CITARS) project are summarized. Fifteen data sets were classified using two analysis procedures. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. In addition, 20 data sets were classified using training statistics from another segment or date. The results of both the local and non-local classifications in terms of classification and proportion estimation are presented. Several additional experiments are described which were performed to provide additional understanding of the CITARS results. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, the spectral discriminability of corn, soybeans, and other, and analysis of aircraft multispectral data

Crop identification technology assessment for remote sensing (CITARS). Volume 6: Data processing at the laboratory for applications of remote sensing

The results of classifications and experiments for the crop identification technology assessment for remote sensing are summarized. Using two analysis procedures, 15 data sets were classified. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. Additionally, 20 data sets were classified using training statistics from another segment or date. The classification and proportion estimation results of the local and nonlocal classifications are reported. Data also describe several other experiments to provide additional understanding of the results of the crop identification technology assessment for remote sensing. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, spectral discriminability of corn, soybeans, and other, and analyses of aircraft multispectral data

The effects of distractors in multiple object tracking are modulated by the similarity of distractor and target features

Is the effect of distractors in multiple object tracking dependent on the distractors sharing the features of the targets? In experiment 1, observers tracked five targets among five distractors that were identical to the targets and a number of additional distractors that were either identical to or featurally distinct from the targets. Results showed that distractors that are distinct from the targets in shape or color, or are stationary, impair tracking less than distractors that are identical to the targets. However, tracking performance declined as the number of distractors increased, even for featurally distinct distractors. Experiment 2 showed that distractors that differ from the targets on two features impair tracking less than distractors that differ from the targets on only one feature, but only when target tracking load is low. These results indicate that shape, color, and motion information about distractors can be used to distinguish them from targets during tracking, although even distractors with a different feature from the targets produce some interference with tracking. These findings suggest that the effect of distractors on tracking is dependent on top – down settings for target features

Further characterization of glycine-containing microcystins from the McMurdo Dry Valleys of Antarctica

Microcystins are hepatotoxic cyclic peptides produced by several cyanobacterial genera worldwide. In 2008, our research group identified eight new glycine-containing microcystin congeners in two hydro-terrestrial mat samples from the McMurdo Dry Valleys of Eastern Antarctica. During the present study, high-resolution mass spectrometry, amino acid analysis and micro-scale thiol derivatization were used to further elucidate their structures. The Antarctic microcystin congeners contained the rare substitution of the position-1 D-alanine for glycine, as well as the acetyl desmethyl modification of the position-5 Adda moiety (3S-amino-9S-methoxy-2S,6,8S-trimethyl-10-phenyldeca-4E,6E-dienoic acid). Amino acid analysis was used to determine the stereochemistry of several of the amino acids and conclusively demonstrated the presence of glycine in the microcystins. A recently developed thiol derivatization technique showed that each microcystin contained dehydrobutyrine in position-7 instead of the commonly observed N-methyl dehydroalanine

Determining land use patterns through man-machine analysis of LANDSAT data: A tutorial simulation

There are no author-identified significant results in this report

Visualization of the Digital Divide Among K-12 Students: Open Data, Quantitative Measures, and Policy Implications

Our work utilized a multi-disciplinary approach to assess the digital divide among K-12 students through socio-technical and economic analysis. Results show that access to high-speed internet (broadband) and use continued to be a challenge for children and schools located in disadvantaged communities. Three visualizations were developed to display the digital disparity at the county level across our country and to support decision-making in resource allocation to improve broadband access and utilization

Consumer Protection in an Era of Globalization

With expanding global trade, the challenge of protecting consumers from unsafe food, pharmaceuticals, and consumer products has grown increasingly salient, necessitating the development of new policy ideas and analysis. This chapter introduces the book, Import Safety: Regulatory Governance in the Global Economy, a multidisciplinary project analyzing import safety problems and an array of innovative solutions to these problems. The challenge of protecting the public from unsafe imports arises from the sheer volume of global trade as well as the complexity of products being traded and the vast number of inputs each product contains. It is further compounded by the fact that as products move across jurisdictional boundaries regulators face a host of legal, cultural, and practical obstacles. We argue that import safety problems require rethinking domestic regulation, whether through improving the targeting of traditional government inspections, building stronger public-private partnerships, or making changes in products liability standards. International cooperation will also be needed but will be even more challenging. At every step in the supply chain, regulators face questions of what level of safety to aim for, what form of regulatory standards to adopt, and how compliance with such standards should be monitored and enforced – and yet different countries tend to answer these questions differently. This chapter not only raises the key questions regulators and the public confront in tackling a vexing global challenge, but it also previews Import Safety’s analysis of institutional capacity and a range of potential regulatory responses that can harness market actors to drive improvements in product safety