The Philadelphia Area Consortium of Special Collections Libraries (PACSCL) received a National Endowment for the Humanities (NEH) Humanities Collections and Reference Resources (HCRR) Implementation grant to digitize thirty linear feet of materials from thirty-one collections in twelve of its member institutions and two additional repositories documenting the history of women’s civil rights and expose that and additional content on the web. The two-year grant, beginning in May 2019, was designed to ensure that a significant portion of the material would be online in the months surrounding the 100th anniversary of the ratification of the Nineteenth amendment: August 18, 2020. Additionally, collection-level records for any material not digitized by that time served as signposts for researchers seeking more timely access. That project built on the successes of a one-year NEH Foundations grant (July 2016-June 2017), designed to identify and disseminate information about collections in Philadelphia-area archives documenting women working for their own and other’s rights, 1820-1920. The content, provided on a pilot website (http://inherownright.org/), served as a resource for students and teachers as the nation began to look to the 100th anniversary of woman suffrage in 2020. PACSCL requested additional NEH funding to digitize more content from its member institutions and other institutions as well as to support outreach to find, digitize, and describe additional collections, particularly those documenting underrepresented populations. In Her Own Right also expanded its user audiences from high school students and undergraduates to include graduate students and scholars, by enhancing the website to include additional tools and resources supporting research use. This enabled the team to realize more fully an original core concept of the project: to provide both “retail” access (mediated content with contextualizing supporting materials) and “wholesale” access (unmediated raw material—both digitized content and metadata–for a range of future research and digital scholarship projects). The core of project work was digitizing and describing manuscript and some printed materials, held in area institutions, irrespective of the geographic focus of the collection itself. The digitized material is served up through a robust web presence that provides access to well-described digital items; the capacity to download and manipulate the descriptive data to generate new scholarly products; and other resources that will serve students and scholars studying not only women’s work leading up to the 1920 vote for woman suffrage, but countless other topics as well. The long narrative of women making incremental progress toward equality and opportunity continues to be relevant. To extend project work to document the conversations across race and class that the team began to reflect on during the Foundations grant, the Implementation proposal also budgeted time and staff to find, digitize, and describe additional collections documenting underrepresented populations. Initial research identified a number of potentially rich collections for inclusion that illuminated a broad range of activism among many groups of women. These included some groups that are underrepresented in the traditional historical narrative of women’s campaign for voting and other civil rights, but the project team also hoped to find even more collections relating to these underrepresented populations and recognized that doing so would require significant outreach beyond PACSCL members. Using PACSCL’s tested methodology from two Council on Library and Information Resources (CLIR) Hidden Collections grants1 and PACSCL institution staff members trained in its process, the project team worked with small repositories in the area that lacked access tools or staff to identify “hidden voices.” This white paper, while highlighting the NEH Implementation phase of the project, also looks across 2016 to 2021, and outlines successes, challenges, learnings, and opportunities for continued project growth.

Our objective in this review article is to present a clinical case of a patient with antisynthetase syndrome (ASyS) and provide an overview of the pathogenesis, classification criteria, antibody profiles, clinical features, and current knowledge of treatment options, focusing on interstitial lung disease (ILD). ASyS is an uncommon autoimmune disease with a heterogenous clinical presentation characterized by the presence of autoantibodies against an aminoacyl-tRNA synthetase and manifested by myositis, fever, inflammatory arthritis, Raynaud’s phenomenon, mechanics hands, and ILD. ASyS-associated ILD (ASyS-ILD) is the most serious complication of ASyS, which may evolve to rapidly progressive ILD; therefore, it often requires thorough clinical and radiologic evaluation including recognition of a specific clinical phenotype associated with the antisynthetase antibodies (ASAbs) to guide therapeutic interventions.

Species range shifts due to changing ocean conditions are occurring around the world. As species move, they build new interaction networks as they shift from or into new ecological communities. Typically, species ranges are modeled individually, but biotic interactions have been shown to be important to creating more realistic modeling outputs for species. To understand the importance of consumer interactions in Eastern Pacific kelp forest species distributions, we used a Maxent framework to model a key foundation species, giant kelp (Macrocystis pyrifera), and a dominant herbivore, purple sea urchins (Strongylocentrotus purpuratus). With neither species having previously been modeled in the Eastern Pacific, we found evidence for M. pyrifera expansion in the northern section of its range, with no projected contraction at the southern range edge. Despite its known co-occurrence with M. pyrifera, models of S. purpuratus showed a non-concurrent southern range contraction and a co-occurring northern range expansion. While the co-occurring shifts may lead to increased spatial competition for suitable substrate, this non-concurrent contraction could result in community wide impacts such as herbivore release, tropicalization, or ecosystem restructuring.

Cerebellar, hippocampal, and basal nuclei transient edema with restricted diffusion (CHANTER) syndrome is a recently described entity that refers to a specific pattern of cerebellar edema with restricted diffusion and crowding of the fourth ventricle among other findings. The syndrome is commonly associated with toxic opioid exposure. While most commonly seen in adults, we present a case of a 2-year-old girl who survived characteristic history and imaging findings of CHANTER syndrome.

Introduction: Previous research indicates that cigarette smokers with a time to first cigarette (TTFC) of less than 30 minutes after waking up had significantly higher levels of carcinogen biomarkers compared to those with a TTFC of more than 30 minutes. The mediation (potential mediator: cigarettes smoked per day) between TTFC and carcinogen biomarkers, remains unclear and has yet to be established. Methods: Multivariable linear regression models were used to estimate adjusted geometric means (GMs) and ratios of GMs for urine biomarkers of VOCs by smokers’ TTFC status (≤30 vs >30 min). Further, data from the NHANES 2015–2016 special sample were analyzed to assess the mediation between TTFC (exposure) and carcinogen biomarkers, including urine metabolites of polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and cadmium. Results: Cigarette smokers with a short TTFC (≤30 min) presented significantly higher concentrations in 8 out of 17 urine metabolites of VOCs examined compared to smokers with TTFC >30 min. The association between exposure and carcinogen biomarkers was not mediated by CPD. Conclusions: Cigarette smokers with a short TTFC (≤30 min) had significantly higher levels in VOCs, PAHs, and cadmium, but the association was not mediated by cigarettes smoked per day.

The City-Data.com Corpus provides over 15,000 discussion forum posts scraped from city-data.com--a website that hosts information about cities across the United States. Like the 20 Newsgroups dataset, the City-Data.com Corpus is weakly labeled by forum topics and thread titles and can be used to trial natural language processing techniques or be used to stage lessons in digital textual analysis in digital humanities pedagogy.

Objective: To investigate the impact of donor–recipient (DR) sex matches on survival after lung transplantation while controlling for size difference in the United Network of Organ Sharing (UNOS) database. Methods: We performed a retrospective study of 27,423 lung transplant recipients who were reported in the UNOS database (January 2005-March 2020). Patients were divided into groups based on their respective DR sex match: male to male (MM), male to female (MF), female to female, (FF), and female to male (FM). Kaplan–Meier curve and Cox regression with log-rank tests were used to assess 1-, 3-, 5-, and 10-year survival. We also modeled survival for each group after controlling for size-related variables via the Cox regression. Results: Kaplan–Meier curves showed overall significance at 1-, 3-, 5-, and 10-year end points (P < .0001). Estimated median survival time based on Kaplan–Meier analysis were 6.41 ± 0.15, 6.13 ± 0.18, 5.86 ± 0.10, and 5.37 ± 0.17 years for FF, MF, MM, and FM, respectively (P < .0001). After we controlled for size differences, FF had statistically significantly longer 5- and 10-year survival than all other cohorts. MF also had statistically significantly longer 5- and 10-year survival than FM. Conclusions: When variables associated with size were controlled for, FF had improved survival than other DR groups. A female recipient may experience longer survival with a female donor’s lungs versus a male donor’s lungs of similar size.

Key Points: Hemodialysis clinic social networks spread attitudes and behaviors toward kidney transplants. Identifying and characterizing influential patients is a first step in future hemodialysis clinic social network interventions to promote kidney transplantation. Background: Hemodialysis clinics help develop patient social networks that may spread kidney transplant (KT) attitudes and behaviors. Identifying influential social network members is an important first step to increase KT rates. We mapped the social networks of two hemodialysis facilities to identify which patients were influential using in-degree centrality as a proxy for popularity and influence. Methods: In this cross-sectional study, we performed a sociocentric social network analysis of patients on hemodialysis in two geographically and demographically different hemodialysis facilities. Statistical and social network analyses were performed using R statistical software. Results: More patients at facility 1 (N=71) were waitlisted/evaluating living donor KT (50.7% versus 20.0%, P = 0.021), considered KT as very important (70.4% versus 45.0%, P = 0.019), and knew people who received a successful KT (1.0 versus 0.0, P = 0.003). Variables predicting relationship formation at facility 1 were the same shift (β=1.87, 95% confidence interval [CI] [1.19 to 2.55]; P < 0.0001), same sex (β=0.51, 95% CI [0.01 to 1.00]; P = 0.045), younger age (β=−0.03, 95% CI [−0.05 to −0.01]; P = 0.004), different lengths of time on hemodialysis (β=−0.49, 95% CI [−0.86 to −0.12]; P = 0.009), and knowing more people who received a successful KT (β=0.12, 95% CI [0.03 to 0.21]; P = 0.009). Predictive variables at facility 2 (N=40) were the same race (β=2.52, 95% CI [0.39 to 4.65]; P = 0.021) and knowing fewer people with successful KT (β=−0.92, 95% CI [−1.82 to −0.02]; P = 0.045). In-degree centrality was higher at facility 1 (1.1±1.2) compared with facility 2 (0.6±0.9). Conclusions: Social networks differed between the hemodialysis clinics in structure and prevalent transplant attitudes. Influential patients at facility 1 (measured by in-degree centrality) had positive attitudes toward KT, whereas influential patients at facility 2 had negative attitudes.

Behavioural and neuroimaging research has shown that older adults are less sensitive to financial losses compared to younger adults. Yet relatively less is known about age-related differences in social decisions and social reward processing. As part of a pilot study, we collected behavioural and functional magnetic resonance imaging (fMRI) data from 50 participants (Younger: N = 26, ages 18–34 years; Older: N = 24, ages 63–80 years) who completed three tasks in the scanner: an economic trust game as the investor with three partners (computer, stranger, friend) as the investee; a card-guessing task with monetary gains and losses shared with three partners (computer, stranger, friend); and an ultimatum game as responder to three anonymous proposers (computer, age-similar adults, age-dissimilar adults). We also collected B0 field maps and high-resolution structural images (T1-weighted and T2-weighted images). These data could be reused to answer questions about moment-to-moment variability in fMRI signal, representational similarity between tasks, and brain structure.