A Bottom-Up Design and Implementation for Ambiguity-Compatible Natural Language Sentence Parsing
, 2011 Elise Thrasher
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Sociological Forum, EarlyView.ABSTRACT Controversy over climate change indicates the difficulty of constructing a shared reality. The stakes of doing so are high as democracies struggle to find common ground about the problems they are confronting. Leveraging variation in the settings in which New Yorkers made over 35,000 comments on the state's climate plan in 2022, from an online
Ankit Bhardwaj
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Binocular contributions to motion detection and motion discrimination during locomotion. [PDF]
PLoS OneGuo H, Allison RS.
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Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy
, 2019 Daniel Fernández‐González +1 more
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Cosmovision as Cognitive Technology: The Case of Mesoamerican Medicinal Knowledge
Topics in Cognitive Science, EarlyView.Abstract We examine the use of cognitive technologies in the acquisition and retention of botanical and medicinal knowledge. We focus on the Cruz‐Badianus codex, a 16th‐century Nahua (Aztec) herbarium which discusses the use of plants for a range of illnesses.
Johan De Smedt, Helen De Cruz
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A metric of knowledge as information compression reflects reproducibility predictions for biomedical experiments. [PDF]
R Soc Open SciFanelli D, Tan PB, Amaral OB, Neves K.
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Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound
Applied AI Letters, Volume 7, Issue 1, February 2026.Automated, AI‐based Lung Disease Classification using Point‐of‐Care Ultrasound. ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions.
Nixson Okila +9 more
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LLM-based multi-agent system for neuro-ophthalmic diagnosis and personalized treatment planning. [PDF]
Front NeurosciWang W.
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Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.ABSTRACT Software fault prediction (SFP) plays a crucial role in modern software development by enabling early identification of fault‐prone modules and efficient allocation of testing resources. While deep learning approaches have shown promise in this domain, challenges persist regarding architectural choices, metric selection, and class imbalance ...
Khoa Phung +2 more
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Data-driven recommendation of agents, temperature, and equivalence ratios for organic synthesis. [PDF]
Chem SciSun X +4 more
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