104234 research outputs found
Sort by
Data from: Rates of female mouse ultrasonic vocalizations are low and are not modulated by estrous state during interactions with muted males
Please cite as:
Cassidy A. Malone, Patryk Ziobro, Julia Khinno, and Katherine A. Tschida. (2025) Data from: Rates of female mouse ultrasonic vocalizations are low and are not modulated by estrous state during interactions with muted males. [dataset] Cornell University eCommons Repository. https://doi.org/10.7298/XJWN-1A66These files contain data supporting all results in Malone et al., Rates of female mouse ultrasonic vocalizations are low and are not modulated by estrous state during interactions with muted males. In Malone et al., we tested the idea that courtship vocalizations produced by female mice are regulated by estrous state. Adult male mice produce high rates of ultrasonic vocalizations (USVs) during courtship interactions with females. It was long thought that only males produced courtship USVs, but recent studies using microphone arrays to assign USVs to individual signalers report that females produce a portion (5-18%) of total courtship USVs. The factors that regulate female courtship USV production are poorly understood. Here, we tested the idea that female courtship USV production is regulated by estrous state. To facilitate the detection of female USVs, we paired females with males that were muted for USV production via caspase-mediated ablation of midbrain neurons that are required for USV production. We report that total USVs recorded during interactions between group-housed B6 females and muted males are low and are not modulated by female estrous state. Similar results were obtained for single-housed B6 females and for single-housed outbred wild-derived female mice paired with muted males. These findings suggest either that female mice produce substantial rates of courtship USVs only when interacting with vocal male partners or that prior studies have overestimated female courtship USV production. Studies employing methods that can unambiguously assign USVs to individual signalers, regardless of inter-mouse distances, are needed to distinguish between these possibilities
YOUTH NAVIGATING PRECARITY THROUGH CLIMATE ACTION: CASE OF MATHARE
This study explores the environmental organizing of the youth in Mathare and its potential to transcend hustle into climate activism. It examines how the intervention of global climate actors and their agendas influence the youth's work. By building an empirical case through the stories and evolution of the youth, using observer participation and participant observation, the research analyzes potential pathways and possibilities for Mathare’s youth groups. Embedded in the discourse of hustle and climate adaptation in informal settlements, this paper argues that the youth's work is transitioning from opportunism to visionary practice. As the youth navigate their precarious employment situations and struggle to find identity and community through hustling, the paper explores their potential to expand their vision and scope, and to collectivize towards climate adaptation, is enabled by opportunities presented by global climate efforts. Finally, the paper invites further research on the potential of youth activism to contribute to effective climate adaptation
Genomic Signatures of Recurrence After Resection of Early-Stage Node-Negative Colon Cancer.
BACKGROUND: Whereas clinicopathologic risk factors for colon cancer (CC) recurrence are well-established, the role of genomic predictors remains understudied. This study aimed to identify genomic factors associated with recurrence after resection of early-stage, node-negative CC. METHODS: A retrospective cohort study was performed using clinicopathologic data, somatic mutations, and mRNA expression profiles from the cBioPortal database. The study enrolled patients with T1-3, N0, or M0 CC who underwent surgical resection and primary tumor sequencing. Those with fewer than 6 months of follow-up evaluation were excluded. Gene expression profiles were classified into consensus molecular subtypes (CMSs). Somatic mutations and CMS groups were analyzed for associations with recurrence. RESULTS: Of the 305 patients analyzed, 46 (15%) experienced recurrence. The median age at diagnosis was 70 years (interquartile range [IQR], 62-76 years), the gender distribution was balanced. The median follow-up period was 38 months, and the median time to recurrence was 13 months. The following 12 mutated genes were significantly associated with recurrence: KRAS (odds ratio [OR], 2.19), PIK3CA (OR, 2.13), DNAH11 (OR, 3.28), NALCN (OR, 4.69), COL6A3 (OR, 3.12), GRIN2A (OR, 4.92), COL6A1 (OR, 4.25), TNN (OR, 3.25), NEXMIF (OR, 6.97), PKHD1L1 (OR, 3.24), CDH4 (OR, 3.29), and BCL9 (OR, 4.03). Additionally, tumors classified as CMS4/mesenchymal subtype had a greater risk of recurrence (OR, 4.67) than the CMS2/canonical subtype. Patients with CMS4 or at least four mutations associated with recurrence (n = 77) had a 5-year disease-free survival rate of 57.7%. CONCLUSION: This study identified novel genomic signatures that may improve risk stratification in early-stage node-negative CC, potentially guiding the selection of high-risk patients for adjuvant therapy.2026-02-1
Navigating The Intersection of Policy and Local Priorities: A Reflective Assessment of Transportation Vulnerability in Watertown Jefferson County
This study investigates the broader challenge of conducting vulnerability assessments in transportation planning, particularly in rural regions where balancing federal funding mandates with local infrastructure priorities presents significant complexities. Vulnerability assessments are essential tools for identifying infrastructure risks, yet their effectiveness is often constrained by funding eligibility requirements and policy frameworks that may overlook locally significant assets. This research examines how vulnerability assessments can better integrate data-driven methodologies with community-informed insights to ensure equitable resilience outcomes. Drawing from established frameworks like those employed by the Genesee and Ulster Transportation Councils, this study explores strategies for improving vulnerability assessments in the Watertown Jefferson County Transportation Council (WJCTC) region. The study highlights the need for improved flexible funding models, enhanced local engagement, and tailored assessment frameworks to ensure that critical infrastructure in Watertown is effectively identified and prioritized, particularly for roads and facilities that serve underserved communities or face heightened climate risks.Barton & Loguidic
Reducing Maple Sap Spoilage
Maple sap is a perishable product that will spoil when stored improperly or for extended periods of time. As it exits the tree, it is contaminated with bacteria, yeast, and molds, which can spoil the sap by consuming its resources (e.g. sugars) or by releasing byproducts (e.g. enzymes, acids, aromas) resulting in color, texture, flavor and odor changes in the sap. Flavors and textures developed in spoiled sap can persist in maple syrup and other value-added products; proper care of maple sap is essential to produce quality products.Funding for project was made possible by a grant agreement from the U.S. Department of Agriculture (USDA) Agricultural Marketing Service. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the USDA
Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review.
BACKGROUND: In recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. Despite the promise of NLP in the SDOH domain, the literature is dispersed across various disciplines, and there is a need to consolidate existing knowledge, identify knowledge gaps in the literature, and inform future research directions in this emerging field. OBJECTIVE: This research protocol describes a systematic review to identify and highlight NLP techniques, including large language models, used for SDOH-related studies. METHODS: A search strategy will be executed across PubMed, Web of Science, IEEE Xplore, Scopus, PsycINFO, HealthSource: Academic Nursing, and ACL Anthology to find studies published in English between 2014 and 2024. Three reviewers (SR, ZZ, and YC) will independently screen the studies to avoid voting bias, and two (AS and YX) additional reviewers will resolve any conflicts during the screening process. We will further screen studies that cited the included studies (forward search). Following the title abstract and full-text screening, the characteristics and main findings of the included studies and resources will be tabulated, visualized, and summarized. RESULTS: The search strategy was formulated and run across the 7 databases in August 2024. We expect the results to be submitted for peer review publication in early 2025. As of December 2024, the title and abstract screening was underway. CONCLUSIONS: This systematic review aims to provide a comprehensive study of existing research on the application of NLP for various SDOH tasks across multiple textual datasets. By rigorously evaluating the methodologies, tools, and outcomes of eligible studies, the review will identify gaps in current knowledge and suggest directions for future research in the form of specific research questions. The findings will be instrumental in developing more effective NLP models for SDOH, ultimately contributing to improved health outcomes and a better understanding of social determinants in diverse populations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/66094
Strategic Communication Introduction
N/AOverview of the Strategic Communication ToolkitN/
Lower Pay and Greater Barriers to Success: An Examination of Gender Inequality in the Erie County, NY Labor Market
The report, “Lower Pay and Greater Barriers to Success: An Examination of Gender Inequality in the Erie County, NY Labor Market was commissioned by the County of Erie and undertaken in collaboration with the county’s Commission on the Status of Women. In addition to persistent pay gaps, the report found that women: Incur a “motherhood penalty,” which disproportionately affects women’s wages and career advancement; lack political and economic power, which leads to underrepresentation in policymaking and corporate governance; and suffer from workplace discrimination and gender bias, which serve as barriers to advancement
IgG-seq identifies immune-reactive enteric bacteria in Crohn's disease with spondyloarthritis.
Joint inflammation is the most common extraintestinal manifestation of Crohn's disease (CD). Although alterations in the enteric microbiota are described in CD with spondyloarthritis (CD-SpA), it is not known whether distinct taxa serve as markers for clinical subtypes of axial (AxSpA) or peripheral SpA (pSpA) in CD. Moreover, it is not yet known whether these taxa generate a specific systemic IgG response. Here, we sequenced the fecal microbiome from 106 individuals (44 CD, 39 CD-SpA, 14 CD-AxSpA, and 9 healthy controls [HC]). This unique cohort revealed distinct taxonomic compositions of CD and CD-SpA compared to HC and demonstrates that the composition of the CD-AxSpA microbiome is distinct from that of CD-pSpA. Using autologous serum, we identified enteric bacteria recognized by serum IgG and demonstrate differences in the IgG coating index of specific bacterial genera associated with CD-SpA. The IgG coating index of Mediterraneibacter gnavus differentiated patients with CD-pSpA and is positively associated with joint disease activity. This work illustrates divergent microbiome compositions in CD-SpA subtypes, as well as the recognition of distinct enteric bacteria by serum IgG with the potential to serve as a marker of joint inflammation in CD
The pathobiology of neurovascular aging.
As global life expectancy increases, age-related brain diseases such as stroke and dementia have become leading causes of death and disability. The aging of the neurovasculature is a critical determinant of brain aging and disease risk. Neurovascular cells are particularly vulnerable to aging, which induces significant structural and functional changes in arterial, venous, and lymphatic vessels. Consequently, neurovascular aging impairs oxygen and glucose delivery to active brain regions, disrupts endothelial transport mechanisms essential for blood-brain exchange, compromises proteostasis by reducing the clearance of potentially toxic proteins, weakens immune surveillance and privilege, and deprives the brain of key growth factors required for repair and renewal. In this review, we examine the effects of neurovascular aging on brain function and its role in stroke, vascular cognitive impairment, and Alzheimer's disease. Finally, we discuss key unanswered questions that must be addressed to develop neurovascular strategies aimed at promoting healthy brain aging.2026-01-0