Emotion Appraisal Tendencies and Carryover: How, Why, and … Therefore?

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142287/1/jcpy179.pd

CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface

Big data needs to feed users with fresh processing results and cloud platforms can be used to speed up big data applications. This paper describes a new data communication protocol (CloudJet) for long distance and large volume big data accessing operations to alleviate the large latencies encountered in sharing big data resources in the clouds. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX) and thereby can accelerate any POSIX-compatible applications across IP based networks. It was demonstrated that CloudJet accelerates typical big data applications such as very large database (VLDB), data mining, media streaming and office applications by up to tenfold in real-world tests

Turning to art as a positive way of living with cancer: A qualitative study of personal motives and contextual influences

Why do some women turn to creative art-making after a diagnosis of cancer? Eleven women provided qualitative accounts that were analyzed following guidelines for interpretative phenomenological analysis (IPA). Some described taking up artistic leisure activities initially in order to manage emotional distress. Others emphasized their need for positive well-being, taking up art to experience achievement and satisfaction, to regain a positive identity, and to normalize family dynamics in the context of living with cancer. Participants’ turn to art-making was facilitated by biographical and contextual factors, including pre-existing craft skills, long-standing personal values and coping philosophies, family role models for managing adversity, and the supportive encouragement of family and friends. Other research has acknowledged that positive lifestyle change and post-traumatic growth can occur after a cancer diagnosis, and this study reveals a multi-faceted process. The findings suggest a need for further research into the experiences that facilitate positive lifestyle change and subjective well-being among people who are living with cancer

External correspondence: Decompositions of the mean probability score

Two evaluative criteria for probabilistic forecasting performance, consistency with the axioms of probability theory and external correspondence with the events that ultimately occur, are distinguished. The mean probability, or Brier score (), is the scoring rule most commonly used to quantify external correspondence. A review is made of methods for decomposing into components that represent distinct and important aspects of external correspondence. Data from an empirical study of forecasting performance are used to illustrate the interpretation of the components of the most recent decomposition of (J. F. Yates, Forecasting performance: A covariance decomposition of the mean probability score. Paper presented at 22nd Annual Meeting of the Psychonomic Society, Philadelphia, November 1981; also an unpublished manuscript). Substantively, the most important finding of the study was a "collapsing" tendency in forecasting behavior, whereby subjects were inclined to report forecasts of .5 when they felt they knew little about the event in question. This finding is problematic because self-reported knowledge was only minimally related to the actual external correspondence of the subjects' forecasts. A survey of uses of decompositions suggests, among other things, that current research typically emphasizes calibration, perhaps to the neglect of other, more important dimensions of external correspondence.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/23907/1/0000150.pd

Analyzing the accuracy of probability judgments for multiple events: An extension of the covariance decomposition

The probability score (PS) can be used to measure the overall accuracy of probability judgments for a single event, e.g., "Rain falls," or "This patient has cancer." It has been shown previously how a "covariance decomposition" of the mean of PS over many occasions indexes several distinct aspects of judgment performance (J. F. Yates, Organizational Behavior and Human Performance, 30, 132-156 (1982)). There are many situations in which probability judgments are reported for sample space partitions containing more than one event and its complement, e.g., medical situations in which a patient might suffer from Disease X, Disease Y, or Disease Z, or testing situations in which the correct answer to an item might be any one of alternatives (a) through (e). The probability score for multiple events (PSM) serves as a measure of the overall accuracy of probability judgments for the events in partitions of any size. The present article describes and interprets an extension of the covariance decomposition to the mean of PSM. The decomposition is illustrated with data from two contexts, medicine and education.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/27278/1/0000294.pd

Energy-Efficient Algorithms

We initiate the systematic study of the energy complexity of algorithms (in addition to time and space complexity) based on Landauer's Principle in physics, which gives a lower bound on the amount of energy a system must dissipate if it destroys information. We propose energy-aware variations of three standard models of computation: circuit RAM, word RAM, and transdichotomous RAM. On top of these models, we build familiar high-level primitives such as control logic, memory allocation, and garbage collection with zero energy complexity and only constant-factor overheads in space and time complexity, enabling simple expression of energy-efficient algorithms. We analyze several classic algorithms in our models and develop low-energy variations: comparison sort, insertion sort, counting sort, breadth-first search, Bellman-Ford, Floyd-Warshall, matrix all-pairs shortest paths, AVL trees, binary heaps, and dynamic arrays. We explore the time/space/energy trade-off and develop several general techniques for analyzing algorithms and reducing their energy complexity. These results lay a theoretical foundation for a new field of semi-reversible computing and provide a new framework for the investigation of algorithms.Comment: 40 pages, 8 pdf figures, full version of work published in ITCS 201

Special Issue of the Journal of Behavioral Decision Making on “Applications and Innovations of Eye‐Movement Research in Judgment and Decision Making”

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/100158/1/bdm1798.pd

The importance of recent infection with Mycobacterium tuberculosis in an area with high HIV prevalence: a long-term molecular epidemiological study in Northern Malawi.

BACKGROUND: The proportion of cases of tuberculosis due to recent infection can be estimated in long-term population-based studies using molecular techniques. Here, we present what is, to our knowledge, the first such study in an area with high human immunodeficiency virus (HIV) prevalence. METHODS: All patients with tuberculosis in Karonga District, Malawi, were interviewed. Isolates were genotyped using restriction-fragment-length polymorphism (RFLP) patterns. Strains were considered to be "clustered" if at least 1 other patient had an isolate with an identical pattern. RESULTS: RFLP results were available from 83% of culture-positive patients from late 1995 to early 2003. When strains with <5 bands were excluded, 72% (682/948) were clustered. Maximum clustering was reached using a 4-year window, with an estimated two-thirds of cases due to recent transmission. The proportion clustered decreased with age and varied by area of residence. In older adults, clustering was less common in men and more common in patients who were HIV positive (adjusted odds ratio, 5.1 [95% confidence interval, 2.1-12.6]). CONCLUSIONS: The proportion clustered found in the present study was among the highest in the world, suggesting high rates of recent transmission. The association with HIV infection in older adults may suggest that HIV has a greater impact on disease caused by recent transmission than on that caused by reactivation