THE CYCLICAL NATURE OF POLITICS AND THE U.S. FOOD SYSTEM

Agricultural and Food Policy, Political Economy,

TOWARD A MORE COMPREHENSIVE THEORY OF FOOD LABELING

Agribusiness, Food Consumption/Nutrition/Food Safety,

THE CHANGING STRUCTURE OF AGRICULTURAL PRODUCTION

Production Economics,

RELATIONSHIPS BETWEEN MARKET PRICE SIGNALS AND PRODUCTION MANAGEMENT: THE CASE OF FED BEEF

The beef industry in the United States consists of several distinct production levels ranging from the cow-calf producer at the lowest level to the final consumer. These sectors face varying levels of profitability, degrees of market power, conflicting goals, and price signals. Environmental regulations involve questions of what costs are involved, who is in a position to pay these costs, and whether market prices are capable of signaling different environmental practices. Understanding the relationships within the beef industry may allow researchers to fine-tune analyses of environmental issues in the beef industry.Beef, BMP, Cattle, Pricing, Livestock Production/Industries, Marketing,

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Deep neural networks have emerged as a widely used and effective means for tackling complex, real-world problems. However, a major obstacle in applying them to safety-critical systems is the great difficulty in providing formal guarantees about their behavior. We present a novel, scalable, and efficient technique for verifying properties of deep neural networks (or providing counter-examples). The technique is based on the simplex method, extended to handle the non-convex Rectified Linear Unit (ReLU) activation function, which is a crucial ingredient in many modern neural networks. The verification procedure tackles neural networks as a whole, without making any simplifying assumptions. We evaluated our technique on a prototype deep neural network implementation of the next-generation airborne collision avoidance system for unmanned aircraft (ACAS Xu). Results show that our technique can successfully prove properties of networks that are an order of magnitude larger than the largest networks verified using existing methods.Comment: This is the extended version of a paper with the same title that appeared at CAV 201

How to read a next-generation sequencing report-what oncologists need to know.

Next-generation sequencing (NGS) of tumor cell-derived DNA/RNA to screen for targetable genomic alterations is now widely available and has become part of routine practice in oncology. NGS testing strategies depend on cancer type, disease stage and the impact of results on treatment selection. The European Society for Medical Oncology (ESMO) has recently published recommendations for the use of NGS in patients with advanced cancer. We complement the ESMO recommendations with a practical review of how oncologists should read and interpret NGS reports. A concise and straightforward NGS report contains details of the tumor sample, the technology used and highlights not only the most important and potentially actionable results, but also other pathogenic alterations detected. Variants of unknown significance should also be listed. Interpretation of NGS reports should be a joint effort between molecular pathologists, tumor biologists and clinicians. Rather than relying and acting on the information provided by the NGS report, oncologists need to obtain a basic level of understanding to read and interpret NGS results. Comprehensive annotated databases are available for clinicians to review the information detailed in the NGS report. Molecular tumor boards do not only stimulate debate and exchange, but may also help to interpret challenging reports and to ensure continuing medical education

“The impact of European Neuromuscular Centre (ENMC) workshops on the neuromuscular field; 25 years on …”

Merit, Expertise and Measuremen