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Hydraulic geometry parameters describing river hydrogeomorphic relationships are critical for determining a channel's capacity to convey water and sediment which is important for flood forecasting. Although well‐established, power‐law hydraulic geometry curves have been widely used to understand riverine systems and mapping flooding inundation worldwide for the past 70 years, we have become increasingly aware of their limitations. In the present study, we have moved beyond these traditional power‐law relationships, testing the ability of machine‐learning models to provide improved predictions of river width and depth. For this work, we have used an unprecedentedly large river measurement data set (HYDRoSWOT) as well as a suite of watershed predictor data to develop novel data‐driven approaches to better estimate river geometries over the contiguous United States (CONUS). Our Random Forest, XGBoost, and neural network models out‐performed the traditional, regionalized power law‐based hydraulic geometry equations for both width and depth, providing R‐squared values of as high as 0.75 for width and as high as 0.67 for depth, compared with R‐squared values of 0.45 for width and 0.18 for depth from the regional hydraulic geometry equations. Our results also show diverse performance outcomes across stream orders and geographical regions for the different machine‐learning models, demonstrating the value of using multi‐model approaches to maximize the predictability of river geometry. The developed models have been used to create the newly publicly available STREAM‐geo data set, which provides river width, depth, width/depth ratio, and river and stream surface area (%RSSA) for nearly 2.7 million NHDPlus stream reaches across the contiguous US. Plain Language Summary Scientists and river managers use measurements of river geometry such as width and depth to forecast floods and understand river behavior. However, the methods used to estimate river geometry that have been used for decades are imprecise and thus lead to poor predictions of river discharge dynamics. Here, we've used new machine learning‐based modeling approaches to provide better predictions of river width and depth. We tested different machine‐learning models, which were developed based on the HYDRoSWOT set of measurements of rivers across the U.S. These new models all provide better estimates of river width and depth than the old methods. Our research can help us to provide better estimates of flood dynamics and improve our understanding of rivers across the U.S. Key Points Machine Learning models outperform regional (physiographic) hydraulic geometry equations for predicting stream width and depth Model performance varies by stream orders and geographical regions, demonstrating the utility of multi‐model machine‐learning approaches The STREAM‐geo data set provides predictions of river width, depth, width‐to‐depth ratio, and river area for the NHDPlus stream reaches

How is it that recipients of white privilege deny the role they play in reproducing racial inequality? Racing for Innocence addresses this question by examining the backlash against affirmative action in the late 1980s and early 1990s—just as courts, universities, and other institutions began to end affirmative action programs. This book recounts the stories of elite legal professionals at a large corporation with a federally mandated affirmative action program, as well as the cultural narratives about race, gender, and power in the news media and Hollywood films. Though most white men denied accountability for any racism in the workplace, they recounted ways in which they resisted—whether wittingly or not— incorporating people of color or white women into their workplace lives. Drawing on three different approaches—ethnography, narrative analysis, and fiction—to conceptualize the complexities and ambiguities of race and gender in contemporary America, this book makes an innovative pedagogical tool.

Western US ponderosa pine forests have recently suffered extensive stand-replacing fires followed by hillslope erosion and sedimentation. These fires are usually attributed to increased stand density as a result of fire suppression, grazing and other land use, and are often considered uncharacteristic or unprecedented. Tree-ring records from the past 500 years indicate that before Euro-American settlement, frequent, low-severity fires maintained open stands. However, the pre-settlement period between about AD 1500 and AD 1900 was also generally colder than present, raising the possibility that rapid twentieth-century warming promoted recent catastrophic fires. Here we date fire-related sediment deposits in alluvial fans in central Idaho to reconstruct Holocene fire history in xeric ponderosa pine forests and examine links to climate. We find that colder periods experienced frequent low-severity fires, probably fuelled by increased understory growth. Warmer periods experienced severe droughts, stand-replacing fires and large debris-flow events that comprise a large component of long-term erosion and coincide with similar events in sub-alpine forests of Yellowstone National Park. Our results suggest that given the powerful influence of climate, restoration of processes typical of pre-settlement times may be difficult in a warmer future that promotes severe fires.

In a union campaign that began in 1970 and ended in 1974, the University of California at Berkeley’s American Federation of State, County, and Municipal Employees (AFSCME) Local 1695’s secretaries published a clerical workers’ manifesto, participated in writing a formal affirmative action report with the librarian’s union, and filed a mass grievance against sex discrimination signed by three hundred clerical workers. Significantly, they rallied against sex discrimination with the slogan “equal pay for equivalent work.” Their campaign not only preceded the first comparable-worth campaign in 1978 in San Jose, California, but was linked directly to it through Local 1695 activists and their activism. This article complicates the origin story for the late-twentieth-century comparable-worth movement and highlights Local 1695’s partnership with librarians in crafting what historian Katherine Turk has called an “expanded interpretation of sex equality law.”

In the future, Earth will be warmer, precipitation events will be more extreme, global mean sea level will rise, and many arid and semiarid regions will be drier. Human modifications of landscapes will also occur at an accelerated rate as developed areas increase in size and population density. We now have gridded global forecasts, being continually improved, of the climatic and land use changes (C&LUC) that are likely to occur in the coming decades. However, besides a few exceptions, consensus forecasts do not exist for how these C&LUC will likely impact Earth‐surface processes and hazards. In some cases, we have the tools to forecast the geomorphic responses to likely future C&LUC. Fully exploiting these models and utilizing these tools will require close collaboration among Earth‐surface scientists and Earth‐system modelers. This paper assesses the state‐of‐the‐art tools and data that are being used or could be used to forecast changes in the state of Earth's surface as a result of likely future C&LUC. We also propose strategies for filling key knowledge gaps, emphasizing where additional basic research and/or collaboration across disciplines are necessary. The main body of the paper addresses cross‐cutting issues, including the importance of nonlinear/threshold‐dominated interactions among topography, vegetation, and sediment transport, as well as the importance of alternate stable states and extreme, rare events for understanding and forecasting Earth‐surface response to C&LUC. Five supplements delve into different scales or process zones (global‐scale assessments and fluvial, aeolian, glacial/periglacial, and coastal process zones) in detail. Key Points We review models and data useful for forecasting Earth surface changes We identify key knowledge gaps required to forecast Earth surface changes We strategize how geomorphologists and Earth‐systems modelers can collaborate

New York State has been an epicenter for both the US coronavirus disease 2019 (COVID-19) and HIV/AIDS epidemics. Persons living with diagnosed HIV may be more prone to COVID-19 infection and severe outcomes, yet few studies have assessed this possibility at a population level. To evaluate the association between HIV diagnosis and COVID-19 diagnosis, hospitalization, and in-hospital death in New York State. This cohort study, conducted in New York State, including New York City, between March 1 and June 15, 2020, matched data from HIV surveillance, COVID-19 laboratory-confirmed diagnoses, and hospitalization databases to provide a full population-level comparison of COVID-19 outcomes between persons living with diagnosed HIV and persons living without diagnosed HIV. Diagnosis of HIV infection through December 31, 2019. The main outcomes were COVID-19 diagnosis, hospitalization, and in-hospital death. COVID-19 diagnoses, hospitalizations, and in-hospital death rates comparing persons living with diagnosed HIV with persons living without dianosed HIV were computed, with unadjusted rate ratios and indirect standardized rate ratios (sRR), adjusting for sex, age, and region. Adjusted rate ratios (aRRs) for outcomes specific to persons living with diagnosed HIV were assessed by age, sex, region, race/ethnicity, transmission risk, and CD4+ T-cell count-defined HIV disease stage, using Poisson regression models. A total of 2988 persons living with diagnosed HIV (2109 men [70.6%]; 2409 living in New York City [80.6%]; mean [SD] age, 54.0 [13.3] years) received a diagnosis of COVID-19. Of these persons living with diagnosed HIV, 896 were hospitalized and 207 died in the hospital through June 15, 2020. After standardization, persons living with diagnosed HIV and persons living without diagnosed HIV had similar diagnosis rates (sRR, 0.94 [95% CI, 0.91-0.97]), but persons living with diagnosed HIV were hospitalized more than persons living without diagnosed HIV, per population (sRR, 1.38 [95% CI, 1.29-1.47]) and among those diagnosed (sRR, 1.47 [95% CI, 1.37-1.56]). Elevated mortality among persons living with diagnosed HIV was observed per population (sRR, 1.23 [95% CI, 1.07-1.40]) and among those diagnosed (sRR, 1.30 [95% CI, 1.13-1.48]) but not among those hospitalized (sRR, 0.96 [95% CI, 0.83-1.09]). Among persons living with diagnosed HIV, non-Hispanic Black individuals (aRR, 1.59 [95% CI, 1.40-1.81]) and Hispanic individuals (aRR, 2.08 [95% CI, 1.83-2.37]) were more likely to receive a diagnosis of COVID-19 than White individuals, but they were not more likely to be hospitalized once they received a diagnosis or to die once hospitalized. Hospitalization risk increased with disease progression to HIV stage 2 (aRR, 1.29 [95% CI, 1.11-1.49]) and stage 3 (aRR, 1.69 [95% CI, 1.38-2.07]) relative to stage 1. In this cohort study, persons living with diagnosed HIV experienced poorer COVID-related outcomes relative to persons living without diagnosed HIV; Previous HIV diagnosis was associated with higher rates of severe disease requiring hospitalization, and hospitalization risk increased with progression of HIV disease stage.

In April 1968, two Berkeley campus unions—the American Federation of State, County, and Municipal Employees (AFSCME) Local 1695 representing clerical, technical, and professional workers, and the American Federation of Teachers (AFT) Local 1570 representing graduate students—held a work-stoppage and a teach-in on “campus racism” to honor the memory of the Reverend Martin Luther King Jr. who had been tragically assassinated in Memphis. Inspired by King's work and the AFSCME sanitation workers strike that he supported, the teach-in became a series of workshops that ultimately led to the development of a “white paper” with statistical data highlighting the ways the university harbored racism in its employment practices and in its admission of undergraduate and graduate students. Among its many demands, it called for the University: “to hire black, brown and red workers until the ratio of employees from these groups equals the ratio in the population; bring minority student enrollment and employment up to population ratios . . . publish the University census report showing the percentage of black, brown, and red employees by department; and make an additional report showing the classifications and promotions of black, brown, and red people in each department.”

This paper argues that \"racing for innocence\" is a discursive practice which functions simultaneously to disavow accountability for racist practices at the same time that everyday racism is practiced. Drawing from both fieldwork and interviews in a corporate legal department over two different time periods (in 1988-89 and in 1999), I explore the meaning and consequence of this \"race\" in my interviews with white and African-American lawyers. Further, I follow the trajectory of one African-American lawyer, Randall Kingsley, and tell his story along with the stories constructed by the white men who still work there about Randall's departure from the company. I do so to make an argument about why these white men, by virtue of their social location, cannot see how they contributed to the unfriendly climate that forced Randall out of the department. Further, I argue it is through such everyday practices that whiteness is reproduced as a structural relationship of inequality in workplaces.[PUBLICATION ABSTRACT]

Valley asymmetry reflects differences in landform evolution with aspect; however, few studies assess rates and timing of asymmetric erosion. In south-central Idaho, we combine alluvial fan volume reconstructions with radiocarbon deposit dating to compare the source-catchment normalized fan deposition rates of catchments incised into north (n=5) and south-facing (n=3) valleys, which differ during the late Holocene from 7.7 to 10.1 mm/ka, respectively, but are not significantly different. South-facing catchments produced 1.3× more fan sediment per unit source-area during the late Holocene, whereas over the last 10 Ma they have evolved to be 2.1× larger with 2.8× greater eroded volumes and 7.6° gentler slopes (24.5° versus 32.1°, average). Late Holocene differences in sediment yields with aspect cannot fully explain differences in landforms. Potential bias in sediment deposition and/or remobilization cannot fully explain the similarity of erosion rates during the late Holocene. Valley asymmetry appears to have developed primarily during different conditions. While valley asymmetry development may be quicker during glacial climates, development is likely accelerated early in a valley’s history, such as during initial valley incision, because asymmetric degradation serves as a negative feedback that reduces aspect-related differences in erosion and drives valleys towards steady state.

This essay asks whether queer oral history is different in light of recent interventions in queer theory, LGBTQ history, and oral history. It explores the intellectual genealogy of queer oral history in the research projects of some of its early practitioners. It also provides a close reading of Alessandro Portelli's classic essay and considers its implications for a queer methodology, drawing from the work of recent scholarship in queer studies as well as our collaborative research in the Twin Cities Gay, Lesbian, Bisexual, and Transgender Oral History Project. Finally, it gestures towards some of the unique dimensions of a queer methodology and its rich potential for research in LGBTQ oral history.