CAPTURING CELL HETEROGENEITY IN REPRESENTATIONS OF CELL POPULATIONS FOR IMAGE-BASED PROFILING USING CONTRASTIVE LEARNING.

Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning.

Image-based cell profiling is a powerful tool that compares perturbed cell populations by measuring thousands of single-cell features and summarizing them into profiles.Typically a sample is represented by averaging across cells, but this fails to capture the heterogeneity within cell populations.We introduce CytoSummaryNet: a Deep Sets-based appro

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Geotagging Text Data on the Web—A Geometrical Approach

Geotagging, the process of tagging of documents with geographical information, is an important issue in geographical information retrieval systems.In this paper, we propose a novel approach for geotagging of textual web documents.Existing techniques disambiguate place names occurring in a document individually first and then find its focus.As oppos

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The Montreal Cognitive Assessment

HIV-associated neurocognitive disorders (HANDs) are common, often go undetected, and can impact treatment outcomes.There is limited evidence on how to perform routine cognitive screening in HIV clinical settings.To address this, 44 HIV-positive males were recruited from a Veteran Affairs Infectious Disease clinic and completed the Montreal Cognitiv

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Optimal allocation of multiple distributed generation units in power distribution networks for voltage profile improvement and power losses minimization

Distributed Generation (DG) integration into an existing electrical distribution system plays a great role in combating power system profile problems associated with load growth, overloading, lowquality of supply and non-reliability.Hence, there is a need to improve the technical benefits of DG integration by optimal sitting and sizing in a Home De

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