Law in the Age of Exabytes: Some further Thoughts on ‘Information Inflation’ and Current Issues in E-Discovery Search

In 2007, in the pages of this Journal, George L. Paul and I posed a question to the legal profession at large, to wit: can the legal system adapt to the new reality of an era of rapid inflation in the amount of electronically stored information (ESI) at issue in civil litigation? After surveying the history of technological innovation that led to an explosion of new data, we proceeded to discuss various legal strategies for success in our current inflationary epoch. These strategies included: consideration of new and emerging ways in which to think about search and information retrieval in light of the limitations of traditional keyword searching the legal profession had come to rely upon; greater use of sampling and iteration so as to ensure greater quality; the use of multiple meet-and- confers to produce a “virtuous feedback cycle” of cooperation amongst counsel; predicting congressional enactment of Federal Rule of Evidence 502, enabling parties to leverage resources by providing large amounts of data in open discovery; and finally, making tentative predictions about the future of artificial intelligence as applied to information law problems

Finding the Signal in the Noise: Information Governance, Analytics, and the Future of Legal Practice

In the watershed year of 2012, the world of law witnessed the first concrete discussion of how predictive analytics may be used to make legal practice more efficient. That the conversation about the use of predictive analytics has emerged out of the e-Discovery sector of the law is not all that surprising: in the last decade and with increasing force since 2006— with the passage of revised Federal Rules of Civil Procedure that expressly took into account the fact that lawyers must confront “electronically stored information” in all its varieties—there has been a growing recognition among courts and commentators that the practice of litigation is changing dramatically. What needs now to be recognized, however, is that the rapidly evolving tools and techniques that have been so helpful in providing efficient responses to document requests in complex litigation may be used in a variety of complementary ways to the discovery process itself

Information Inflation: Can The Legal System Adapt?

Information is fundamental to the legal system. Accordingly, lawyers must understand that information, as a cultural and technological edifice, has profoundly and irrevocably changed. There has been a civilization- wide morph, or pulse, or one might say that information has evolved. This article discusses the new inflationary dynamic, which has caused written information to multiply by as much as ten thousand-fold recently. The resulting landscape has stressed the legal system and indeed, it is becoming prohibitively expensive for lawyers even to search through information. This is particularly true in litigation

Overcoming the Digital Tsunami in e-Discovery: is Visual Analysis the Answer?

New technologies are generating potentially discoverable evidence in electronic form in ever increasing volumes. As a result, traditional techniques of document search and retrieval in pursuit of electronic discovery in litigation are becoming less viable. One potential new technological solution to the e-discovery search and retrieval challenge is Visual Analysis (VA). VA is a technology that combines the computational power of the computer with graphical representations of large datasets to enable interactive analytic capabilities. This article provides an overview of VA technology and how it is being applied in the analysis of e-mail and other electronic documents in the field of e-discovery, as well as discussing several challenges and limitations of the technology. The article concludes that VA has the potential to overcome some of the limitations of current search and retrieval techniques, but that addressing the digital tsunami is more likely to be achieved by using VA in combination with other search and retrieval technologies in the context of creating an effective data governance program

Diffusion dispersion imaging: Mapping oscillating gradient spin-echo frequency dependence in the human brain.

PURPOSE: Oscillating gradient spin-echo (OGSE) diffusion MRI provides information about the microstructure of biological tissues by means of the frequency dependence of the apparent diffusion coefficient (ADC). ADC dependence on OGSE frequency has been explored in numerous rodent studies, but applications in the human brain have been limited and have suffered from low contrast between different frequencies, long scan times, and a limited exploration of the nature of the ADC dependence on frequency. THEORY AND METHODS: Multiple frequency OGSE acquisitions were acquired in healthy subjects at 7T to explore the power-law frequency dependence of ADC, the diffusion dispersion. Furthermore, a method for optimizing the estimation of the ADC difference between different OGSE frequencies was developed, which enabled the design of a highly efficient protocol for mapping diffusion dispersion. RESULTS: For the first time, evidence of a linear dependence of ADC on the square root of frequency in healthy human white matter was obtained. Using the optimized protocol, high-quality, full-brain maps of apparent diffusion dispersion rate were also demonstrated at an isotropic resolution of 2 mm in a scan time of 6 min. CONCLUSIONS: This work sheds light on the nature of diffusion dispersion in the healthy human brain and introduces full-brain diffusion dispersion mapping at clinically relevant scan times. These advances may lead to new biomarkers of pathology or improved microstructural modeling

The NextGen Model Atmosphere grid: II. Spherically symmetric model atmospheres for giant stars with effective temperatures between 3000 and 6800~K

We present the extension of our NextGen model atmosphere grid to the regime of giant stars. The input physics of the models presented here is nearly identical to the NextGen dwarf atmosphere models, however spherical geometry is used self-consistently in the model calculations (including the radiative transfer). We re-visit the discussion of the effects of spherical geometry on the structure of the atmospheres and the emitted spectra and discuss the results of NLTE calculations for a few selected models.Comment: ApJ, in press (November 1999), 13 pages, also available at http://dilbert.physast.uga.edu/~yeti/PAPERS and at ftp://calvin.physast.uga.edu/pub/preprints/NG-giants.ps.g

Charting the endometrial cancer care pathway : a baseline audit

Introduction: Longer waiting times from diagnosis to surgical resection have been found to negatively impact the overall survival and quality of life of women with endometrial cancer. The Cancer Care Pathway Directorate adopted the UK National Waiting Times Monitoring Dataset Guidance, to improve the timeliness of services along the cancer care pathway. From this, three key targets were identified: 1) Maximum 14-day wait from urgent GP referral for suspected cancer to first outpatient attendance (operational standard of 93%), 2) Maximum 31-day wait from decision to treat to first definitive treatment (operational standard of 96%), and 3) Maximum 62-day wait from urgent GP referral for suspected cancer to first treatment (operational standard of 85%). The aim of this baseline audit was to chart the time-frames of the various stages in the endometrial cancer pathway of patients diagnosed with this disease between 2015 and 2016 to assess for and identify delays in referral, investigation and care. -- Methods: A tool was developed following consultation with key stakeholders. Data protection clearance was obtained. Patient medical and oncology files, hospital databases, and MDT documentation for confirmed endometrial cancer cases were reviewed between September 2017 – March 2018. -- Results: A total of 101 endometrial cancer cases were included in the audit. The proportion of cases which met the 14-day, 31-day and 62-day wait KPIs operational standards were 39.1%, 81.2% and 17.2% respectively. -- Conclusion: The endometrial cancer care pathway timeframes did not meet the KPIs operational standards. Fast-track coordinators and nurse navigators could improve continuity and coordination of patient care.peer-reviewe

Emergence of Classical BSE Strain Properties during Serial Passages of H-BSE in Wild-Type Mice

BACKGROUND: Two distinct forms of atypical spongiform encephalopathies (H-BSE and L-BSE) have recently been identified in cattle. Transmission studies in several wild-type or transgenic mouse models showed that these forms were associated with two distinct major strains of infectious agents, which also differed from the unique strain that had been isolated from cases of classical BSE during the food-borne epizootic disease. METHODOLOGY/PRINCIPAL FINDINGS: H-BSE was monitored during three serial passages in C57BL/6 mice. On second passage, most of the inoculated mice showed molecular features of the abnormal prion protein (PrP(d)) and brain lesions similar to those observed at first passage, but clearly distinct from those of classical BSE in this mouse model. These features were similarly maintained during a third passage. However, on second passage, some of the mice exhibited distinctly different molecular and lesion characteristics, reminiscent of classical BSE in C57Bl/6 mice. These similarities were confirmed on third passage from such mice, for which the same survival time was also observed as with classical BSE adapted to C57Bl/6 mice. Lymphotropism was rarely detected in mice with H-BSE features. In contrast, PrP(d) was detectable, on third passage, in the spleens of most mice exhibiting classical BSE features, the pattern being indistinguishable from that found in C57Bl/6 mice infected with classical BSE. CONCLUSION/SIGNIFICANCE: Our data demonstrate the emergence of a prion strain with features similar to classical BSE during serial passages of H-BSE in wild-type mice. Such findings might help to explain the origin of the classical BSE epizootic disease, which could have originated from a putatively sporadic form of BSE