Uncoupling inequality: Reflections on the ethics of benchmarks for digital media

Our collaboration seeks to demonstrate shared interrogation by exploring the ethics of machine learning benchmarks from a socio-technical management perspective with insight from public health and ethnic studies. Benchmarks, such as ImageNet, are annotated open data sets for training algorithms. The COVID-19 pandemic reinforced the practical need for ethical information infrastructures to analyze digital and social media, especially related to medicine and race. Social media analysis that obscures Black teen mental health and ignores anti-Asian hate fails as information infrastructure. Despite inadequately handling non-dominant voices, machine learning benchmarks are the basis for analysis in operational systems. Turning to the management literature, we interrogate cross-cutting problems of benchmarks through the lens of coupling, or mutual interdependence between people, technologies, and environments. Uncoupling inequality from machine learning benchmarks may require conceptualizing the social dependencies that build structural barriers to inclusion

Getting Past “Post-Truth”: Librarians Respond

There is concern among librarians that information illiteracy and the rapid spread of false news via social media have changed the information climate considerably, to the point where it feels as though we are witnessing the dawn of the “post-truth” era. Coupled with changing campus climates and a rise in hate crimes post-election, this panel of librarians feels an urgency for librarians to provide support to marginalized students, faculty, and fellow librarians. Librarians dedicate their lives to fostering critical evaluation of information sources through information literacy instruction, collection development, partnerships with campus stakeholders, and many other roles. Librarians are equally dedicated to ensuring access to information, privacy and safety within our spaces. Academic libraries stand poised to lead the way as inclusive and non-partisan, but never neutral, spaces for intellectual freedom on college campuses. In light of the recent election, many librarians are wondering how to ensure we live up to this standard. Though it seems most relevant for this type of work to fall on public service librarians, librarians across departments and at all levels of staff, from technical services to public services and instruction, need to be involved in fostering inclusivity. On this panel, librarians from a wide variety of New England’s institutions of higher education will discuss ways their libraries have mobilized to expand or begin providing programming and other resources to ensure that students, faculty, and staff feel safe, welcome, informed, and adequately represented in their libraries. Panelists will provide examples of positive actions that they, their libraries, and their institutions have taken to address these shifting social climates, with concrete examples of public statements, programming, toolkits, and staff training (among other things). While these actions will be perceived as positive among some members of our academic communities, the panel is also prepared to address the very real negative issues of lack of campus support, negotiating fall out, and both personal and professional burnout. The goal of this panel is to provide attendees with not only why this work is increasingly important, but also concrete examples of what has worked, what has not worked, what we need to do more of moving forward, and what could be adapted for your library more specifically and your campus community more broadly

Lip rounding in Amoy and Mandarin high vowels: maximum dispersion, or adequate separation

There are two hypotheses about the relationship between phonological contrasts and phonetic feature scales. Some phoneticians propose that values are chosen so that contrasting phonemes are maximally separated, e.g., Lilijencrants and Lindblom, 1972, while others claim that they need only to be adequately separated, e.g., Maddieson, 1977. This paper tests the competing hypotheses by comparing lip position in Mandarin [i], [y], [u] with that of Amoy [i] and [u]. According to adequate separation, the lip spreadness/roundness of Mandarin will be more extreme than that of Amoy, since there are three high vowels in Mandarin but only two in Amoy. According to the maximum dispersion hypothesis, the degree of roundness should be the same in both languages. Amoy and Mandarin data were collected from three bilingual speakers. The results support the Adequate Separation Theory. This paper also tests Wood's (1986) claim that in a language with two high rounded vowels, /u/ and /y/, /u/ is more rounded than /y/. The result shows that this claim is not necessarily true

The vehicle emissions and performance monitoring system: analysis of tailpipe emissions and vehicle performance

This paper describes tailpipe emission results generated by the Vehicle Performance and Emissions Monitoring system (VPEMS). VPEMS integrates on-board emissions and vehicle/driver performance measurements with positioning and communications technologies, to transmit a coherent spatio-temporally referenced dataset to a central base station in near real time. These results focus on relationships between tailpipe emissions of CO, CO2, NOx and speed and acceleration. Emissions produced by different driving modes are also presented. Results are generally as one would expect, showing variation between vehicle speed, vehicle acceleration and emissions. Data is based upon a test run in central London on urban streets with speeds not exceeding about 65 km/h. The results presented demonstrate the capabilities of the system. Various issues remain with regard to validation of the data and expansion of the system capability to obtain additional vehicle performance data

Lake Whatcom Monitoring Project 2018/2019 Report

This report describes the results from the 2018/2019 Lake Whatcom monitoring program conducted by the Institute for Watershed Studies at Western Washington University (www.wwu.edu/iws). The major objectives in 2018/2019 were to continue long-term baseline water quality monitoring in Lake Whatcom and its major tributaries; collect storm runoff water quality data from representative streams in the watershed; and continue collection of hydrologic data from Austin and Smith Creeks

Microscopic decision model for pedestrian route choice at signalized crosswalks

In this paper, two-tier mathematical models were developed to simulate the microscopic pedestrian decision-making process of route choice at signalized crosswalks. In the first tier, a discrete choice model was proposed to predict the choices of walking direction. In the second tier, an exponential model was calibrated to determine the step size in the chosen direction. First, a utility function was defined in the first-tier model to describe the change of utility in response to deviation from a pedestrian's target direction and the conflicting effects of neighboring pedestrians. A mixed logit model was adopted to estimate the effects of the explanatory variables on the pedestrians' decisions. Compared with the standard multinomial logit model, it was shown that the mixed logit model could accommodate the heterogeneity. The repeated observations for each pedestrian were grouped as panel data to ensure that the parameters remained constant for individual pedestrians but varied among the pedestrians. The mixed logit model with panel data was found to effectively address inter-pedestrian heterogeneity and resulted in a better fit than the standard multinomial logit model. Second, an exponential model in the second tier was proposed to further determine the step size of individual pedestrians in the chosen direction; it indicates the change in walking speed in response to the presence of other pedestrians. Finally, validation was conducted on an independent set of observation data in Hong Kong. The pedestrians' routes and destinations were predicted with the two-tier models. Compared with the tracked trajectories, the average error between the predicted destinations and the observed destinations was within an acceptable margin. Copyright © 2016 John Wiley & Sons, Ltd.postprin

Cucurbitacin I Inhibits Cell Motility by Indirectly Interfering with Actin Dynamics

Cucurbitacins are plant natural products that inhibit activation of the Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) pathway by an unknown mechanism. They are also known to cause changes in the organization of the actin cytoskeleton. actin depolymerization experiments, cucurbitacin I had no effect on the rate of actin filament disassembly at the nanomolar concentrations that inhibit cell migration. At elevated concentrations, the depolymerization rate was also unaffected, although there was a delay in the initiation of depolymerization. Therefore, cucurbitacin I targets some factor involved in cellular actin dynamics other than actin itself. Two candidate proteins that play roles in actin depolymerization are the actin-severing proteins cofilin and gelsolin. Cucurbitacin I possesses electrophilic reactivity that may lead to chemical modification of its target protein, as suggested by structure-activity relationship data. However, mass spectrometry revealed no evidence for modification of purified cofilin or gelsolin by cucurbitacin I.Cucurbitacin I results in accumulation of actin filaments in cells by a unique indirect mechanism. Furthermore, the proximal target of cucurbitacin I relevant to cell migration is unlikely to be the same one involved in activation of the JAK2/STAT3 pathway

Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life

This paper reports on an in-depth study of electrocardiogram (ECG) biometrics in everyday life. We collected ECG data from 20 people over a week, using a non-medical chest tracker. We evaluated user identification accuracy in several scenarios and observed equal error rates of 9.15% to 21.91%, heavily depending on 1) the number of days used for training, and 2) the number of heartbeats used per identification decision. We conclude that ECG biometrics can work in the wild but are less robust than expected based on the literature, highlighting that previous lab studies obtained highly optimistic results with regard to real life deployments. We explain this with noise due to changing body postures and states as well as interrupted measures. We conclude with implications for future research and the design of ECG biometrics systems for real world deployments, including critical reflections on privacy.Comment: 14 pages, 10 figures, CHI'2

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data

This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete release of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which reached its goal of surveying over 10,000 nearby galaxies. The complete release of the MaNGA Stellar Library (MaStar) accompanies this data, providing observations of almost 30,000 stars through the MaNGA instrument during bright time. DR17 also contains the complete release of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) survey which publicly releases infra-red spectra of over 650,000 stars. The main sample from the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), as well as the sub-survey Time Domain Spectroscopic Survey (TDSS) data were fully released in DR16. New single-fiber optical spectroscopy released in DR17 is from the SPectroscipic IDentification of ERosita Survey (SPIDERS) sub-survey and the eBOSS-RM program. Along with the primary data sets, DR17 includes 25 new or updated Value Added Catalogs (VACs). This paper concludes the release of SDSS-IV survey data. SDSS continues into its fifth phase with observations already underway for the Milky Way Mapper (MWM), Local Volume Mapper (LVM) and Black Hole Mapper (BHM) surveys