Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

The major histocompatibility complex (MHC) on chromosome 6 is associated with susceptibility to more common diseases than any other region of the human genome, including almost all disorders classified as autoimmune. In type 1 diabetes the major genetic susceptibility determinants have been mapped to the MHC class II genes HLA-DQB1 and HLA-DRB1 (refs 1–3), but these genes cannot completely explain the association between type 1 diabetes and the MHC region4, 5, 6, 7, 8, 9, 10, 11. Owing to the region's extreme gene density, the multiplicity of disease-associated alleles, strong associations between alleles, limited genotyping capability, and inadequate statistical approaches and sample sizes, which, and how many, loci within the MHC determine susceptibility remains unclear. Here, in several large type 1 diabetes data sets, we analyse a combined total of 1,729 polymorphisms, and apply statistical methods—recursive partitioning and regression...

Aaron Lopez papers, undated, 1752-1794, 1846, 1852, 1953.

Contains approximately 6800 manuscripts arranged chronologically by year for years 1752-1794. Approximately 100 are letters received or written by Lopez, his partner and father-in-law, Jacob Rodriguez Rivera, members of his family and company, and commercial agents pertaining to business activities and sailing orders for the captains of various ships. Several also refer to personal matters and acquaintances, including a series of six letters from Silas Cooke of White Hall (Middletown), R.I., to Aaron Lopez, asking his aid in returning a run-away slave (1776). The great majority of the collection consists of account records, bills of sale, orders, shipping agreements, lists of sailors on the various ships, repair records and cargo invoices. Of particular interest are a receipt for payment of a half-year's subscription to the "tzedakah" of Congregation Nefutzei Israel, Newport (1755) and several documents that reveal Lopez as a supplier of kosher meat and other religious articles to people in various parts of the colonies, Surinam, and Jamaica. Also included in this group are copies of sailing lists, documents pertaining to Lopez's naturalization which shed light upon the status of a Jew applying for citizenship in Massachusetts and a check to Lopez from the United States government for a loan made during the Revolutionary War (1779).

Article from Harper's Monthly magazine regarding burying ground

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A Systematic Approach to Synthesis of Verification Test-suites for Modular SoC Designs

Verification is one of the important stages in designing an SoC (system on chips) that consumes upto 70% of the design time. In this work, we present a methodology to automatically generate verification test-cases to verify a class of SoCs and also enable re-use of verification resources created from one SoC to another. A prototype implementation for generating the test-cases is also presented.

Trade determination in multi-attribute exchanges

Electronic exchanges are double-sided marketplaces that allow multiple buyers to trade with multiple sellers, with aggregation of demand and supply across the bids to maximize the revenue in the market. Two important issues in the design of exchanges are (1) trade determination (determining the number of goods traded between any buyer-seller pair) and (2) pricing. In this paper we address the trade determination issue for one-shot, multi-attribute exchanges that trade multiple units of the same good. The bids are configurable with separable additive price functions over the attributes and each function is continuous and piecewise linear. We model trade determination as mixed integer programming problems for different possible bid structures and show that even in two-attribute exchanges, trade determination is NP-hard for certain bid structures. We also make some observations on the pricing issues that are closely related to the mixed integer formulations.

Reinforcement learning applications in dynamic pricing of retail markets

In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative models, we consider a single seller market and a two seller market, and formulate the dynamic pricing problem in a setting that easily generalizes to markets with more than two sellers. We first formulate the single seller dynamic pricing problem in the RL framework and solve the problem using the Q-learning algorithm through simulation. Next we model the two seller dynamic pricing problem as a Markovian game and formulate the problem in the RL framework. We solve this problem using actor-critic algorithms through simulation. We believe our approach to solving these problems is a promising way of setting dynamic prices in multi-agent environments. We illustrate the methodology with two illustrative examples of typical retail markets.