Brody, Judy, interviewed by Jena Hershkowitz on January 19, 2010: Audio Recording

Some themes discussed are: • Jewish education—Hebrew tutor/Hebrew school(1) • Jewish education—Sunday School(10) • Jewish education—parents (12) • Holidays (1-2) • Civic engagement (1, 5) • Civic engagement—B’nai B’rith and Hadassah (2) • Food—kosher (2) • Colby—Greek life (3-4) • Occupation—law (4) • Dating—marriage (5) • Dating—at Colby (8) • Dating—interfaith marriage (9) • Live in Waterville—attractions (6) • Live in Waterville—school (9) • Colby—Hillel (6) • Colby—classes (6) • Colby—campus life (7-8, 12-13) • Synagogue (11)

Schreider, Judith, interviewed by Desiree Shayer on January 21, 2010: Audio Recording

Some themes discussed are: • Colby—admissions (2-3) • Colby—dorms (3-4) • Colby—social life (4) • Marriage (4) • Colby—professors (7) • Colby—Dean Runnals (12) • Food—kosher (5) • Dating—rules at Colby (4-5, 6) • Dating—townies (6) • Military service—(8) • Occupation—furniture (8) • Occupation—education (10)

Hopengarten, Doris, interviewed by Desiree Shayer on January 11, 2009: Audio Part Two

Some themes discussed are: • Colby—enrollment (1) • Colby—dating (2, 5) • Colby—Greek Life (2) • Colby—campus life (2-3, 5,8) • Holidays—Christmas (4) • Colby—student interaction with Waterville Jews (4) • Occupation—economics, psychology (6) • Colby—Winter Carnival (8-9)

Schreider, Judith, interviewed by Desiree Shayer on January 21, 2010: Audio Part Two

Some themes discussed are: • Colby—admissions (2-3) • Colby—dorms (3-4) • Colby—social life (4) • Marriage (4) • Colby—professors (7) • Colby—Dean Runnals (12) • Food—kosher (5) • Dating—rules at Colby (4-5, 6) • Dating—townies (6) • Military service—(8) • Occupation—furniture (8) • Occupation—education (10)

A Spatial-Temporal Downscaling Approach To Construction Of Rainfall Intensity-Duration-Frequency Relations In The Context Of Climate Change

This paper proposes a spatial-temporal downscaling approach to construction of the intensity-duration-frequency (IDF) relations at a local site in the context of climate change and variability. More specifically, the proposed approach is based on a combination of a spatial downscaling method to link large-scale climate variables given by General Circulation Model (GCM) simulations with daily extreme precipitations at a site and a temporal downscaling procedure to describe the relationships between daily and sub-daily extreme precipitations based on the scaling General Extreme Value (GEV) distribution. The feasibility and accuracy of the suggested method were assessed using rainfall data available at eight stations in Quebec (Canada) for the 1961-2000 period and climate simulations under four different climate change scenarios provided by the Canadian (CGCM3) and UK (HadCM3) GCM models. Results of this application have indicated that it is feasible to link sub-daily extreme rainfalls at a local site with large-scale GCM-based daily climate predictors for the construction of the IDF relations for present (1961-1990) and future (2020s, 2050s, and 2080s) periods at a given site under different climate change scenarios. In addition, it was found that annual maximum rainfalls downscaled from the HadCM3 displayed a smaller change in the future, while those values estimated from the CGCM3 indicated a large increasing trend for future periods. This result has demonstrated the presence of high uncertainty in climate simulations provided by different GCMs. In summary, the proposed spatial-temporal downscaling method provided an essential tool for the estimation of extreme rainfalls that are required for various climate-related impact assessment studies for a given region.

Study of the audio coding algorithm of the MPEG-4 AAC standard and comparison among implementations of modules of the algorithm

Audio coding is used to compress digital audio signals, thereby reducing the amount of bits needed to transmit or to store an audio signal. This is useful when network bandwidth or storage capacity is very limited. Audio compression algorithms are based on an encoding and decoding process. In the encoding step, the uncompressed audio signal is transformed into a coded representation, thereby compressing the audio signal. Thereafter, the coded audio signal eventually needs to be restored (e.g. for playing back) through decoding of the coded audio signal. The decoder receives the bitstream and reconverts it into an uncompressed signal. ISO-MPEG is a standard for high-quality, low bit-rate video and audio coding. The audio part of the standard is composed by algorithms for high-quality low-bit-rate audio coding, i.e. algorithms that reduce the original bit-rate, while guaranteeing high quality of the audio signal. The audio coding algorithms consists of MPEG-1 (with three different layers), MPEG-2, MPEG-2 AAC, and MPEG-4. This work presents a study of the MPEG-4 AAC audio coding algorithm. Besides, it presents the implementation of the AAC algorithm on different platforms, and comparisons among implementations. The implementations are in C language, in Assembly of Intel Pentium, in C-language using DSP processor, and in HDL. Since each implementation has its own application niche, each one is valid as a final solution. Moreover, another purpose of this work is the comparison among these implementations, considering estimated costs, execution time, and advantages and disadvantages of each one.

Testing the Markov property with ultra high frequency financial data

This paper develops a framework to test whether discrete-valued irregularly-spaced financial transactions data follow a subordinated Markov process. For that purpose, we consider a specific optional sampling in which a continuous-time Markov process is observed only when it crosses some discrete level. This framework is convenient for it accommodates not only the irregular spacing of transactions data, but also price discreteness. Further, it turns out that, under such an observation rule, the current price duration is independent of previous price durations given the current price realization. A simple nonparametric test then follows by examining whether this conditional independence property holds. Finally, we investigate whether or not bid-ask spreads follow Markov processes using transactions data from the New York Stock Exchange. The motivation lies on the fact that asymmetric information models of market microstructures predict that the Markov property does not hold for the bid-ask spread. The results are mixed in the sense that the Markov assumption is rejected for three out of the five stocks we have analyzed.