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Jane Chandlee, \u3ci\u3eAssociate Professor of Linguistics\u3c/i\u3e
No full textChandlee, J. (2025). Quantitative and Computational Approaches to Phonology. Cambridge University Press.https://scholarship.haverford.edu/featuredfac/1187/thumbnail.jp
A review of quorum-sensing and its role in mediating interkingdom interactions in the ocean
No full textToxic Immortality: Rethinking Decline and Plastics with Lucretius
No full textMuch of contemporary environmental thought operates within paradigms of conservation, sustainability, and resilience—frameworks that assume the goal of ecological politics must be to prevent loss, preserve stability, and mitigate decline. However, these frameworks inadequately address cases where persistence and abundance, rather than disappearance, are the source of harm. By contrast, this article argues that an ecological ethic oriented toward decline, unbecoming, and decomposition reveals an alternative set of political and material stakes: not the conservation of things but their proper dissolution. Drawing from the materialist philosophy of Lucretius, the article critiques the prevailing assumption that endurance is inherently beneficial, highlighting how materials like plastics embody a toxic form of immortality, persisting beyond biological timeframes. In rethinking the conditions under which stability and preservation are desirable, the article ultimately calls for a shift in ecological thought that acknowledges the generative potential of decomposition and the dangers of unchecked persistence. Through destabilizing assumed binaries (harmful/beneficial, ruinous/productive, loss/presence), this conception of declination operates as a crucial lens through which to understand contemporary ecological crises, particularly those involving waste materials, like plastic, that refuse to decompose
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
No full textGalaxy Zoo: Cosmic Dawn – morphological classifications for over 41 000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey
No full textWe present morphological classifications of over 41 000 galaxies out to zphot ∼ 2.5 across six square degrees of the Euclid Deep Field North (EDFN) from the Hawaii Twenty Square Degree (H20) survey, a part of the wider Cosmic Dawn survey. Galaxy Zoo citizen scientists play a crucial role in the examination of large astronomical data sets through crowdsourced data mining of extragalactic imaging. This iteration, Galaxy Zoo: Cosmic Dawn (GZCD), saw tens of thousands of volunteers and the deep learning foundation model Zoobot collectively classify objects in ultra-deep multiband Hyper Suprime-Cam (HSC) imaging down to a depth of mHSC − i = 21.5. Here, we present the details and general analysis of this iteration, including the use of Zoobot in an active learning cycle to improve both model performance and volunteer experience, as well as the discovery of 51 new gravitational lenses in the EDFN. We also announce the public data release of the classifications for over 45 000 subjects, including more than 41 000 galaxies (median zphot of 0.42 ± 0.23), along with their associated image cutouts. This data set provides a valuable opportunity for follow-up imaging of objects in the EDFN as well as acting as a truth set for training deep learning models for application to ground-based surveys like that of the Ultraviolet Near-Infrared Optical Northern Survey (UNIONS) collaboration and the newly operational Vera C. Rubin Observatory
The MeerKAT massive distant clusters survey: A radio halo in a massive galaxy cluster at z=1.23
No full textMathematical modeling of SCD: a literature review
No full textSCD is a family of genetic blood disorders that affects over 20 million people worldwide. SCD complications include pain, anemia, and early death. The hallmark cause of medical visits for people with SCD is pain, initially in the form of acute, severe, vaso-occlusive crises stemming from obstructed blood vessels and a plethora of underlying disordered biological mechanisms. Vaso-occlusive crises are unpredictable and are often associated with acute disability and/or hospitalization. Both vaso-occlusive crises and longer-term, chronic sickle cell pain can contribute to multi-system organ damage and eventually early death. Many of the disordered biological mechanisms of SCD, and how they relate to painful outcomes, are not well understood. Mathematical modeling can be a useful tool to study and analyze such disordered SCD biological phenomena: biodynamics, vaso-occlusion, and responses to SCD drug and gene therapy. In this review, we summarize the variety of mathematical modeling methods used to study SCD and provide specific examples of how mathematical modeling contributes new understandings of SCD
TropiRoot 1.0: Database of tropical root characteristics across environments
No full textTropical ecosystems contain the world\u27s largest biodiversity of vascular plants. Yet, our understanding of tropical functional diversity and its contribution to global diversity patterns is constrained by data availability. This discrepancy underscores an urgent need to bridge data gaps by incorporating comprehensive tropical root data into global datasets. Here, we provide a database of tropical root characteristics. This new database, TropiRoot 1.0, will be instrumental in evaluating an array of hypotheses pertaining to root functional ecology and plant biogeography, both within the tropics and relative to other global biomes. The data compilation was conducted by the TropiRoot Initiative, in partnership with the Fine-Root Ecology Database (FRED) and the Global Root Trait (GRooT) database, Colorado State University (CSU) and the Smithsonian Tropical Research Institute (STRI). Literature search and data extraction were conducted between 2020 and 2024. Literature was identified using Web of Science, Scopus, and complemented using the expert knowledge of members of TropiRoot. To provide broad environmental and geographical distributions, literature searches included root characteristics (traits) across global change drivers, natural gradients, and from different continents. We adopted FRED standardized data columns and streamlined the format to enhance accessibility for data extraction across various user groups. This optimized framework resulted in a smaller, yet comprehensive datasheet. To make the database compatible with other global root trait initiatives, column identification was standardized following the codes provided by FRED. These efforts culminated in data extracted from 104 new sources, resulting in more than 8000 rows of data (either species or community data). Most of the data in TropiRoot 1.0 include root characteristics such as root biomass, morphology, root dynamics, mass fraction, architecture, anatomy, physiology, and root chemistry. This initiative represents a 30% increase in the currently available data for tropical roots in FRED. TropiRoot 1.0 contains root characteristics from 25 different countries, where seven are located in Asia, six in South America, five in Central America and the Caribbean, four in Africa, two in North America, and 1 in Oceania. Due to the volume of data, when ancillary data were available, including soil data, these data were either extracted and included in the database or its availability was recorded in an additional column. Multiple contributors checked the entries for outliers during the collation process to ensure data quality. For text-based observations, we examined all cells to ensure that their content relates to their specific categories. For numerical observations, we ordered each numerical value from least to greatest and plotted the values, checking apparent outliers against the data in their respective sources and correcting or removing incorrect or impossible values. Some data (soil and aboveground) have different columns for the same variable presented in different units, including originally published units, but root characteristics data had units converted to match those reported in FRED. By filling a gap from global databases, TropiRoot 1.0 expands our knowledge of otherwise so far underrepresented regions and our ability to assess global trends. This advancement can be used to improve tropical forest representation in vegetation models. The data are freely available and should be cited when used
