In this, paper we present a probabilistic approach to analysis and prediction of protein structure. We argue that this approach provides a flexible and convenient mechanism to perform general scientific data analysis in molecular biology. We apply our approach to an important problem in molecular biology-predicting the secondary structure of proteins-and obtain experimental results comparable t...

Test usage surveys consistently find that sentence completion tests (SCTs) are among the most popular personality assessment instruments used by practitioners. What is not noted is which SCTs practitioners are using, why these tests are so popular, and whether practitioners are using formal scoring. We surveyed a random selection of 100 members of the Society for Personality Assessment. With a ...

This paper discusses the use of our information extraction (IE) system, Textract, in the questionanswering (QA) track of the recently held TREC-8 tests. One of our major objectives is to examine how IE can help IR (Information Retrieval) in applications like QA. Our study shows: (i) IE can provide solid support for QA; (ii) low-level IE like Named Entity tagging is often a necessary component i...

Overcoming the COVID-19 pandemic requires motivating vast majority of Americans to get vaccinated. However, vaccination rates have become politically polarized, and a substantial proportion Republicans remained vaccine hesitant for months. Here, we explore how endorsements by party elites affect Republicans’ intentions attitudes. In preregistered survey experiment ( n = 1,480), varied whether s...

This project explores how organizational endorsements influence voter attitudes during initiative elections. Building on the heuristic–systematic model (Chaiken, 1980; Chen & Chaiken, 1999), we propose that voters use organizational endorsements as heuristic cues to help them develop their attitudes toward initiatives. It is hypothesized that the influence of endorsements on initiative voting d...