The Status of Queen Conch, Strombus gigas, Research in the Caribbean

Today there are approximately 230 published scientific papers on queen conch, Strombus gigas. Publication on this species began in the 1960's and increased rapidly during the 1980's and 1990's (Fig. 1). The increase in publication after 1980 was associated with three particular areas ofendeavor. First, many articles were published to document the rapid depletion of conch stocks throughout the Caribbean Sea. Second, substantial progress was made in understanding processes related to growth, mortality, and reproduction in queen conch. Third, because of the apparent and widespread decline in conch, several research laboratories, especially in Florida, Puerto Rico, Venezuela, and the Turks and Caicos Islands began experiments related to hatchery production of juvenile conch. The primary intent was to replenish wild stocks by releasing hatchery-reared animals. Today, hatchery production has been relatively well perfected, and the increase in numbers of scientific papers related specifically to culture has slowed. A thorough review of the history of conch mariculture was provided by Creswell (1994), and Davis (1994) summarized the details of larval culture technique

Regarding Oaths of Office

This discussion starts with an analysis of oaths of office at the Federal level, considering both whether oaths function as barriers to service and whether they are appropriate in symbolic terms. We then turn to the same questions with reference to the oaths of office of the various states. Finally, we consider the purpose behind oaths of office and determine whether any changes should be made to oaths of office at either the Federal or state level

The measurement of frequency and frequency stability of precision oscillators

The specification and performance of precision oscillators is discussed as a very important topic to the owners and users of these oscillators. This paper presents at the tutorial level some convenient methods of measuring the frequencies of precision oscillators -- giving advantages and disadvantages of these methods. Further it is shown that by processing the data from the frequency measurements in certain ways, one may be able to state more general characteristics of the oscillators being measured. The goal in this regard is to allow the comparisons of different manufacturers' specifications and more importantly to help assess whether these oscillators will meet the standard of performance the user may have in a particular application

Business Cycle Theory and Econometrics

We outline in turn criticisms made by econometricians of the methods used in empirical business-cycle research and then criticisms made by business-cycle researchers of some methods used by econometricians. The aim is to clarify and in some cases correct these criticisms. Overall there is no conflict in using rigourous statistical procedures to study modern dynamic stochastic general equilibrium models. We also provide a concise bibliography of recent research on statistical methods for business-cycle models.business cycles, time-series econometrics

Risk Sharing and Transactions Costs in Producer-Processor Supply Chains

Industrial Organization,

Advancing the Search for Compromise: A Response to Professor Hynes

The contractarian and fiduciary-based positions of the Revised Uniform Partnership Act (RUPA) and the observation that RUPA is internally contradictory and does not consistently adopt either position are discussed. Professor Hynes\u27 discussion of the waivability of fiduciary duties under RUPA is critiqued

Privacy and Accountability in Black-Box Medicine

Black-box medicine—the use of big data and sophisticated machine learning techniques for health-care applications—could be the future of personalized medicine. Black-box medicine promises to make it easier to diagnose rare diseases and conditions, identify the most promising treatments, and allocate scarce resources among different patients. But to succeed, it must overcome two separate, but related, problems: patient privacy and algorithmic accountability. Privacy is a problem because researchers need access to huge amounts of patient health information to generate useful medical predictions. And accountability is a problem because black-box algorithms must be verified by outsiders to ensure they are accurate and unbiased, but this means giving outsiders access to this health information. This article examines the tension between the twin goals of privacy and accountability and develops a framework for balancing that tension. It proposes three pillars for an effective system of privacy-preserving accountability: substantive limitations on the collection, use, and disclosure of patient information; independent gatekeepers regulating information sharing between those developing and verifying black-box algorithms; and information-security requirements to prevent unintentional disclosures of patient information. The article examines and draws on a similar debate in the field of clinical trials, where disclosing information from past trials can lead to new treatments but also threatens patient privacy

SURE reliability analysis: Program and mathematics

The SURE program is a new reliability analysis tool for ultrareliable computer system architectures. The computational methods on which the program is based provide an efficient means for computing accurate upper and lower bounds for the death state probabilities of a large class of semi-Markov models. Once a semi-Markov model is described using a simple input language, the SURE program automatically computes the upper and lower bounds on the probability of system failure. A parameter of the model can be specified as a variable over a range of values directing the SURE program to perform a sensitivity analysis automatically. This feature, along with the speed of the program, makes it especially useful as a design tool

U.S. Agriculture: Commercial and Large Producer Concentration and Implications for Agribusiness Segments

This study examines rate of concentration of farms and sales for aggregate farm production and crop and livestock activities during the 1982 to 2002 period. Data from the Census of Agriculture are used to calculate Theil's relative entropy measure as an indicator of concentration. Results indicate that Grain segments are lagging behind cotton, potato and hog segments in terms of concentration of total sales, while concentration in the dairy segment appears to be gaining steam. Agribusiness serving less concentrated industry segments should look to the more concentrated segments as leading indicators for effective marketing strategies as concentration increases.Concentration, Commodities, Entropy, Agribusiness,