A Mechanism for LIBOR

The investigations into LIBOR have highlighted that it is subject to manipulation. We examine a new method for constructing LIBOR that produces an unbiased estimator of the true rate. LIBOR itself is based solely on transactions. We allow for fines when a bank’s transaction is different than a comparison rate, which depends on the set of transactions and non-manipulated rates elicited by a revealed preference mechanism. These non-manipulated rates will always be used in the fines, but transactions may not. We address how this approach applies to other financial benchmarks and how it works even in markets in which there are few transactions

Future Sight: Dynamic Story Generation with Large Pretrained Language Models

Automated story generation has been an open problem in computing for many decades. Only with the recent wave of deep learning research have neural networks been applied to automated story generation tasks. Current deep learning agents for automated story generation typically ingest a prompt or storyline on which to condition generated text. This approach lacks the dynamism to include elements of a story only decided by the model during inference. We build an interactive system using pretrained transformers finetuned on a novel objective to temporally interpolate between a story context c and a future plot event f. At inference time, users can suggest future plot events along with a distance, in sentences, to coerce a transformer decoder towards generating sentences that would both remain consistent with a story context and logically conclude with the future event. The results of our experiments demonstrate that there is a notion of adherence to both context and future in some, but not all, cases. We discuss in detail potential explanations as to why the model fails to condition on some contexts and futures with respect to the data and the parameters of our model. We include examples sampled from our model to motivate this discussion

Constructing Client-Server Multi-Player Asynchronous Networked Games Using a Single-Computer Model

We examine the process of creating asynchronous networked games by applying systematic transformations to their single-computer analogues, identify the need for such transformations, and propose a simple system of rules for them. In developing these rules, our primary concerns are comparing the flow of events in single-processor and networked games and examining the restrictions and limitations resulting from speed considerations. Although this paper only discusses games, the transformation rides may apply to any networked application with asynchronous data input and exchange

Light-induced nuclear export reveals rapid dynamics of epigenetic modifications

We engineered a photoactivatable system for rapidly and reversibly exporting proteins from the nucleus by embedding a nuclear export signal in the LOV2 domain from phototropin 1. Fusing the chromatin modifier Bre1 to the photoswitch, we achieved light-dependent control of histone H2B monoubiquitylation in yeast, revealing fast turnover of the ubiquitin mark. Moreover, this inducible system allowed us to dynamically monitor the status of epigenetic modifications dependent on H2B ubiquitylation

Knowledge and Awareness Among Patients with Chronic Kidney Disease Stage 3

Knowledge is a prerequisite for changing behavior, and is useful for improving outcomes and reducing mortality rates in patients diagnosed with chronic kidney disease (CKD). The purpose of this article is to describe baseline CKD knowledge and awareness obtained as part of a larger study testing the feasibility of a self-management intervention. Thirty patients were recruited who had CKD Stage 3 with coexisting diabetes and hypertension. Fifty-four percent of the sample were unaware of their CKD diagnosis. Participants had a moderate amount of CKD knowledge. This study suggests the need to increase knowledge in patients with CKD Stage 3 to aid in slowing disease progression

Geocoding accuracy and the recovery of relationships between environmental exposures and health

<p>Abstract</p> <p>Background</p> <p>This research develops methods for determining the effect of geocoding quality on relationships between environmental exposures and health. The likelihood of detecting an existing relationship – statistical power – between measures of environmental exposures and health depends not only on the strength of the relationship but also on the level of positional accuracy and completeness of the geocodes from which the measures of environmental exposure are made. This paper summarizes the results of simulation studies conducted to examine the impact of inaccuracies of geocoded addresses generated by three types of geocoding processes: a) addresses located on orthophoto maps, b) addresses matched to TIGER files (U.S Census or their derivative street files); and, c) addresses from E-911 geocodes (developed by local authorities for emergency dispatch purposes).</p> <p>Results</p> <p>The simulated odds of disease using exposures modelled from the highest quality geocodes could be sufficiently recovered using other, more commonly used, geocoding processes such as TIGER and E-911; however, the strength of the odds relationship between disease exposures modelled at geocodes generally declined with decreasing geocoding accuracy.</p> <p>Conclusion</p> <p>Although these specific results cannot be generalized to new situations, the methods used to determine the sensitivity of results can be used in new situations. Estimated measures of positional accuracy must be used in the interpretation of results of analyses that investigate relationships between health outcomes and exposures measured at residential locations. Analyses similar to those employed in this paper can be used to validate interpretation of results from empirical analyses that use geocoded locations with estimated measures of positional accuracy.</p

Trapping and Transportation of Adult and Juvenile Salmon in the Lower Umatilla River in Northeast Oregon, 1995-1996 : Umatilla River Basin Trap and Haul Program : Annual Progress Report, October 1995-September 1996.

Threemile Falls Dam (Threemile Dam), located near the town of Umatilla, is the major collection and counting point for adult salmonids returning to the Umatilla River. Returning salmon and steelhead were collected at Threemile Dam from September 5, 1995 to July 1, 1996. A total of 2,081 summer steelhead (Oncorhynchus mykiss); 603 adult, 288 jack, and 338 subjack fall chinook (O. tshawytscha); 946 adult and 53 jack coho (O. kisutch); and 2,152 adult and 121 jack spring chinook (O. tshawytscha) were collected. All fish were trapped at the east bank facility. The Westland Canal juvenile facility (Westland), located near the town of Echo at rivermile (RM) 27, is the major collection point for outmigrating juvenile salmonids and steelhead kelts. The Threemile Dam west bank juvenile bypass was operated from September 8 to October 13, 1995 and from March 18 to June 30, 1996. The juvenile trap was operated from July 1 to July 11. Daily operations at the facility were conducted by the ODFW Fish Passage Research project to monitor juvenile outmigration

Born to burnout: A meta-analytic path model of personality, job burnout and work outcomes.

Absenteeism Employee turnover a b s t r a c t We quantitatively summarized the relationship between Five-Factor Model personality traits, job burnout dimensions (emotional exhaustion, depersonalization, and personal accomplishment), and absenteeism, turnover, and job performance. All five of the Five-Factor Model personality traits had multiple true score correlations of .57 with emotional exhaustion, .46 with depersonalization, and .52 with personal accomplishment. Also, all three dimensions of job burnout had multiple correlations of .23 with absenteeism, .33 with turnover, and .36 with job performance. Meta-analytic path modeling indicated that the sequential ordering of job burnout dimensions was contingent on the focal outcome, supporting three different models of the burnout process. Finally, job burnout partially mediated the relationships between Five-Factor Model personality traits and turnover and job performance while fully mediating the relationships with absenteeism