Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments von Zheng, Tongshu, Bergin, Michael H, Johnson, Karoline K, Tripathi, Sachchida N, Shirodkar, Shilpa, Landis, Matthew S, Sutaria, Ronak, Carlson, David E

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Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability von Hultman, Rainbo, Ulrich, Kyle, Sachs, Benjamin D., Blount, Cameron, Carlson, David E., Ndubuizu, Nkemdilim, Bagot, Rosemary C., Parise, Eric M., Vu, Mai-Anh T., Gallagher, Neil M., Wang, Joyce, Silva, Alcino J., Deisseroth, Karl, Mague, Stephen D., Caron, Marc G., Nestler, Eric J., Carin, Lawrence, Dzirasa, Kafui

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Comparative transcriptomics of Entelegyne spiders (Araneae, Entelegynae), with emphasis on molecular evolution of orphan genes von Carlson, David E, Hedin, Marshal

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Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility von Tu, Liyun, Talbot, Austin, Gallagher, Neil M., Carlson, David E.

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Model selection to achieve reproducible associations between resting state EEG features and autism von Carson, William E., Major, Samantha, Akkineni, Harshitha, Fung, Hannah, Peters, Elias, Carpenter, Kimberly L. H., Dawson, Geraldine, Carlson, David E.

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The Relationship Between Microbiomes and Selective Regimes in the Sponge Genus Ircinia von Kelly, Joseph B, Carlson, David E, Low, Jun Siong, Rice, Tyler, Thacker, Robert W

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Novel trends of genome evolution in highly complex tropical sponge microbiomes von Kelly, Joseph B, Carlson, David E, Low, Jun Siong, Thacker, Robert W

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Correction: Novel trends of genome evolution in highly complex tropical sponge microbiomes von Kelly, Joseph B, Carlson, David E, Low, Jun Siong, Thacker, Robert W

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Geometric deep learning enables 3D kinematic profiling across species and environments von Dunn, Timothy W., Marshall, Jesse D., Severson, Kyle S., Aldarondo, Diego E., Hildebrand, David G. C., Chettih, Selmaan N., Wang, William L., Gellis, Amanda J., Carlson, David E., Aronov, Dmitriy, Freiwald, Winrich A., Wang, Fan, Ölveczky, Bence P.

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Predicting emerging chemical content in consumer products using machine learning von Thornton, Luka Lila, Carlson, David E., Wiesner, Mark R.

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Prenatal environmental stressors impair postnatal microglia function and adult behavior in males von Block, Carina L., Eroglu, Oznur, Mague, Stephen D., Smith, Caroline J., Ceasrine, Alexis M., Sriworarat, Chaichontat, Blount, Cameron, Beben, Kathleen A., Malacon, Karen E., Ndubuizu, Nkemdilim, Talbot, Austin, Gallagher, Neil M., Chan Jo, Young, Nyangacha, Timothy, Carlson, David E., Dzirasa, Kafui, Eroglu, Cagla, Bilbo, Staci D.

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Brain-wide electrical dynamics encode individual appetitive social behavior von Mague, Stephen D., Talbot, Austin, Blount, Cameron, Walder-Christensen, Kathryn K., Duffney, Lara J., Adamson, Elise, Bey, Alexandra L., Ndubuizu, Nkemdilim, Thomas, Gwenaëlle E., Hughes, Dalton N., Grossman, Yael, Hultman, Rainbo, Sinha, Saurabh, Fink, Alexandra M., Gallagher, Neil M., Fisher, Rachel L., Jiang, Yong-Hui, Carlson, David E., Dzirasa, Kafui

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Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi von Zheng, Tongshu, Bergin, Michael H, Sutaria, Ronak, Tripathi, Sachchida N, Caldow, Robert, Carlson, David E

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Silicon solar cells based on all-laser-transferred contacts von Wang, Longteng, Carlson, David E., Gupta, Mool C.

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Identifying Waste Burning Plumes Using High-Resolution Satellite Imagery and Machine Learning: A Case Study in the Maldives von Scott, Sarah R., Hailemariam, Philemon E., Bhave, Prakash V., Bergin, Michael H., Carlson, David E.

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Electome network factors: Capturing emotional brain networks related to health and disease von Walder-Christensen, Kathryn, Abdelaal, Karim, Klein, Hunter, Thomas, Gwenaëlle E., Gallagher, Neil M., Talbot, Austin, Adamson, Elise, Rawls, Ashleigh, Hughes, Dalton, Mague, Stephen D., Dzirasa, Kafui, Carlson, David E.

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Laser processing of materials for renewable energy applications von Gupta, Mool C., Carlson, David E.

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Proceedings of the IUTAM Symposium on Finite Elasticity: Held at Lehigh University, Bethlehem, PA, USA August 10-15, 1980 von Carlson, D. E, Shield, R. T

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Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach von Zheng, Tongshu, Bergin, Michael H., Hu, Shijia, Miller, Joshua, Carlson, David E.

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Identifying Waste Burning Plumes Using High-Resolution Satellite Imagery and Machine Learning: A Case Study in the Maldives von Scott, Sarah R., Hailemariam, Philemon E., Bhave, Prakash V., Bergin, Michael H., Carlson, David E.

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