Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells by Kim, Joseph J., Bennett, Neal K., Devita, Mitchel S., Chahar, Sanjay, Viswanath, Satish, Lee, Eunjee A., Shao, Paul P., Childers, Erin P., Liu, Shichong, Garcia, Benjamin A., Becker, Matthew L., Hwang, Nathaniel S., Madabhushi, Anant, Verzi, Michael P., Moghe, Prabhas V., Jung, Giyoung, Kulesa, Anthony Benjamin

“…We demonstrate the utility of EDICTS by predicting the lineage progression of stem cells cultured on biomaterial substrates with graded nanotopographies and mechanical stiffness, thus parsing the role of specific biophysical cues as sensitive epigenetic drivers. …”
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Music-listening systems by Scheirer, Eric David

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A tree-to-tree model for statistical machine translation by Cowan, Brooke A. (Brooke Alissa), 1972-

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Grounding language in events by Fleischman, Michael Ben

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Integration of real time oxygen measurements with a 3D perfused tissue culture system by Inman, Samuel Walker

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A robust, high-throughput assay to determine the phagocytic activity of clinical antibody samples by Ackerman, Margaret E., Moldt, Brian, Wyatt, Richard T., Dugast, Anne-Sophie, McAndrew, Elizabeth G., Tsoukas, Stephen, Jost, Stephanie, Berger, Christoph T., Sciaranghella, Gaia, Liu, Qingquan, Irvine, Darrell J., Burton, Dennis R., Alter, Galit

“…The phagocytosis assay format further allows for simultaneous analysis of cytokine release, as well as determination of the role of specific Fcγ-receptor subtypes, making it a highly useful system for parsing differences in the ability of clinical and vaccine induced antibody samples to recruit this critical effector function.…”
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BIM log mining : discovering social networks by Zhang, Limao, Ashuri, Baabak

“…Firstly, a data extraction procedure consisting of data harvesting, parsing, and cleaning is proposed to obtain BIM design logs in a Comma Separated Values (CSV) format from several designers over the course of working on multiple projects. …”
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Machine learning for canteen food recommendation in NTU by Le, Tan Khang

“…Furthermore, we implement a Part-of-Speech (POS) algorithm to automatically identify and extract adjective-noun pairs from any text content based on the principles of POS tagging and dependency parsing. The search system, using Apache Solr as its server, is also a part of the website that allows users to search for food reviews. …”
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Solving aspect-based sentiment analysis task with GNN models and tree reconstruction methods by Peng, Cheng

“…Building the graph structure with dependency parsing algorithm and Tree-Lifting and Tree-Truncating algorithm. 2. …”
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Quantitative multi-image analysis in metals research by Demkowicz, M. J., Liu, M., McCue, I. D., Seita, Matteo, Stuckner, J., Xie, K.

“…We conclude by discussing opportunities and challenges for continued advancement of QMA, including instrumentation development, uncertainty quantification, and automatic parsing of literature data.…”
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Marie and BERT-A knowledge graph embedding based question answering system for chemistry by Zhou, Xiaochi, Zhang, Shaocong, Agarwal, Mehal, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus

“…Finally, the KGQA system handles numerous chemical reaction mechanisms using semantic parsing supported by a Linked Data Fragment server. …”
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PENGEMBANGAN APLIKASI KONVERSI REPRESENTASI NOT BALOK KE NOT ANGKA UNTUK PADUAN SUARA CAMPUR by , Lukas Chrisantyo AA, , Ir. Rudi Hartanto, M.T.

“…The step of the research is to prepare the font for the writing of numbered notation in Microsoft Word, then parsing the MusicXML file to retrieve information of song title, author, notation, and the lyrics of each type of sound and then write in the form of numbered notation according to the prevailing theory of music. …”

Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search by Murphy, Jeremy, Otto, Kevin, Jensen, Dan, Wood, Kristin, Fu, Katherine K, Yang, Maria

“…We also develop document parsing algorithms to reduce text descriptions of the data sources down to the key functions, for use in the functional similarity analysis and functional vector space modeling. …”
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L2 Learners Do Not Ignore Verb’s Subcategorization Information in Real-Time Syntactic Processing by Nakamura, Chie, Arai, Manabu, Hirose, Yuki, Flynn, Suzanne

“…The intransitivity overriding account predicted that intransitivity information is accessed in L2 parsing, but this process is overridden by the strong transitivity preference when a verb is followed by a noun phrase. …”
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Kimera: From SLAM to spatial perception with 3D dynamic scene graphs by Rosinol, Antoni, Violette, Andrew, Abate, Marcus, Hughes, Nathan, Chang, Yun, Shi, Jingnan, Gupta, Arjun, Carlone, Luca

“…Kimera includes accurate algorithms for visual–inertial simultaneous localization and mapping (SLAM), metric–semantic 3D reconstruction, object localization, human pose and shape estimation, and scene parsing. Our third contribution is a comprehensive evaluation of Kimera in real-life datasets and photo-realistic simulations, including a newly released dataset, uHumans2, which simulates a collection of crowded indoor and outdoor scenes. …”
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Computerized Automated Reminder Diabetes System (CARDS) : using web and wireless phone technology to improve diabetes compliance by Hanauer, David Alan, 1973-

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A multi-objective, decomposition-based algorithm design methodology and its application to runaway operations planning by Anagnostakis, Ioannis

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Taint-based Directed Whitebox Fuzzing by Rinard, Martin C., Ganesh, Vijay, Leek, Tim

“…Because these new test files typically preserve the underlying syntactic structure of the original seed input files, they tend to make it past the initial input parsing components to exercise code deep within the semantic core of the computation. …”
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Challenges in recommender systems : scalability, privacy, and structured recommendations by Xin, Yu, Ph. D. Massachusetts Institute of Technology

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Text2Human: text-driven controllable human image generation by Jiang, Yuming, Yang, Shuai, Qju, Haonan, Wu, Wayne, Loy, Chen Change, Liu, Ziwei

“…We synthesize full-body human images starting from a given human pose with two dedicated steps. 1) With some texts describing the shapes of clothes, the given human pose is first translated to a human parsing map. 2) The final human image is then generated by providing the system with more attributes about the textures of clothes. …”
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