Belgian-French relations during World War II: the perspective of a Congo Governor General

African Studies Center Working Paper No. 1

An intelligent tutoring system for space shuttle diagnosis

An Intelligent Tutoring System (ITS) transcends conventional computer-based instruction. An ITS is capable of monitoring and understanding student performance thereby providing feedback, explanation, and remediation. This is accomplished by including models of the student, the instructor, and the expert technician or operator in the domain of interest. The space shuttle fuel cell is the technical domain for the project described below. One system, Microcomputer Intelligence for Technical Training (MITT), demonstrates that ITS's can be developed and delivered, with a reasonable amount of effort and in a short period of time, on a microcomputer. The MITT system capitalizes on the diagnostic training approach called Framework for Aiding the Understanding of Logical Troubleshooting (FAULT) (Johnson, 1987). The system's embedded procedural expert was developed with NASA's C-Language Integrated Production (CLIP) expert system shell (Cubert, 1987)

The Pros and Cons of the Small Business Reorganization Act of 2019

Effective February 19, 2020, Congress enacted new bankruptcy legislation granting debtors the option to elect a new subchapter V of chapter 11 of the bankruptcy code (Subchapter V). This was made possible by the bipartisan legislation known as the Small Business Reorganization Act of 2019 (SBRA). 1 The SBRA was enacted to provide small business debtors 2 the opportunity to reorganize in a cost-effective manner. This Article addresses certain pros and cons of these amendments to the Bankruptcy Code (Code), which will depend upon the eyes of the beholder

Trustworthy Privacy Indicators: Grades, Labels, Certifications, and Dashboards

Despite numerous groups’ efforts to score, grade, label, and rate the privacy of websites, apps, and network-connected devices, these attempts at privacy indicators have, thus far, not been widely adopted. Privacy policies, however, remain long, complex, and impractical for consumers. Communicating in some short-hand form, synthesized privacy content is now crucial to empower internet users and provide them more meaningful notice, as well as nudge consumers and data processors toward more meaningful privacy. Indeed, on the basis of these needs, the National Institute of Standards and Technology and the Federal Trade Commission in the United States, as well as lawmakers and policymakers in the European Union, have advocated for the development of privacy indicator systems. Efforts to develop privacy grades, scores, labels, icons, certifications, seals, and dashboards have wrestled with various deficiencies and obstacles for the wide-scale deployment as meaningful and trustworthy privacy indicators. This paper seeks to identify and explain these deficiencies and obstacles that have hampered past and current attempts. With these lessons, the article then offers criteria that will need to be established in law and policy for trustworthy indicators to be successfully deployed and adopted through technological tools. The lack of standardization prevents user-recognizability and dependability in the online marketplace, diminishes the ability to create automated tools for privacy, and reduces incentives for consumers and industry to invest in privacy indicators. Flawed methods in selection and weighting of privacy evaluation criteria and issues interpreting language that is often ambiguous and vague jeopardize success and reliability when baked into an indicator of privacy protectiveness or invasiveness. Likewise, indicators fall short when those organizations rating or certifying the privacy practices are not objective, trustworthy, and sustainable. Nonetheless, trustworthy privacy rating systems that are meaningful, accurate, and adoptable can be developed to assure effective and enduring empowerment of consumers. This paper proposes a framework using examples from prior and current attempts to create privacy indicator systems in order to provide a valuable resource for present-day, real world policymaking. First, privacy rating systems need an objective and quantifiable basis that is fair and accountable to the public. Unlike previous efforts through industry self-regulation, if lawmakers and regulators establish standardized evaluation criteria for privacy practices and provide standards for how these criteria should be weighted in scoring techniques, the rating system will have public accountability with an objective, quantifiable basis. If automated rating mechanisms convey to users accepted descriptions of data practices or generate scores from privacy statements based on recognized criteria and weightings rather than from deductive conclusions, then this reduces interpretive issues with any privacy technology tool. Second, rating indicators should align with legal principles of contract interpretation and the existing legal defaults for the interpretation of silence in privacy policy language. Third, a standardized system of icons, along with guidelines as to where these should be located, will reduce the education and learning curve now necessary to understand and benefit from many different, inconsistent privacy indicator labeling systems. And lastly, privacy rating evaluators must be impartial, honest, autonomous, and financially and operationally durable in order to be successful

Zebrafish models for attention deficit hyperactivity disorder (ADHD)

Attention deficit hyperactivity disorder (ADHD) is a common, debilitating neurodevelopmental disorder associated with inattentiveness, pathological hyperactivity and impulsivity. Despite the mounting human and animal evidence, the neurological pathways underlying ADHD remain poorly understood. Novel translational model organisms, such as the zebrafish (Danio rerio), are becoming important tools to investigate genetic and pathophysiological mechanisms of various neuropsychiatric disorders. Here, we discuss ADHD etiology, existing animal models and their limitations, and emphasize the advantages of using zebrafish to model ADHD. Overall, the growing utility of zebrafish models may improve our understanding of ADHD and facilitate drug discovery to prevent or treat this disorder. © 2019 Elsevier Lt

Profiles of miRNAs in serum in severe acute drug induced liver injury and their prognostic significance

Background & AimsDrug induced liver injury (DILI) is challenging because of the lack of biomarkers to predict mortality. Our aim was to describe miRNA changes in sera of subjects with acute idiosyncratic DILI and determine if levels of miRNAs were associated with 6 month mortality.MethodsClinical data and sera were collected from subjects enrolled in the Drug Induced Liver Injury Network prospective study. miRNAs were isolated from serum obtained from 78 subjects within 2 weeks of acute DILI and followed up for 6 months or longer. miRNAs were compared to 40 normal controls and 6 month survivors vs non‐survivors.ResultsThe mean age of the DILI cohort was 48 years, and 55% were female. Eleven (14.1%) subjects died, 10 within 6 months of DILI onset, 5 (45%) liver related. Lower levels of miRNAs‐122, ‐4463 and ‐4270 were associated with death within 6 months (P<.05). None of the subjects with miRNA‐122 greater than the median value died within 6 months for a sensitivity of 100% and specificity of 57%. In subjects with a serum albumin <2.8 g/dL and miR‐122<7.89 RFU the sensitivity, specificity, positive and negative predictive values for death within 6 months were 100%, 57%, 38% and 100% respectively.ConclusionsSerum miRNA‐122 combined with albumin accurately identified subjects who died within 6 months of drug induced liver injury. If confirmed prospectively, miRNA‐122 and albumin may be useful in identifying patients at high risk for mortality or liver transplantation.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136681/1/liv13312_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136681/2/liv13312.pd