Protein spatiotemporal dynamics in gene regulation and disease pathology by Zheng, Ming

“…Over the decades, this field has been evolving by integrating advances in microscopy, biochemistry, and molecular biology to unravel the intricate mechanisms governing protein spatiotemporal dynamics as well as the functional consequences. …”
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Hardness of Approximate Diameter: Now for Undirected Graphs by Dalirrooyfard, Mina, Li, Ray, Vassilevska Williams, Virginia

“…A simple folklore algorithm can output a 2-approximation to the diameter in linear time by running BFS from an arbitrary vertex. It has been open whether a better approximation is possible in near-linear time. …”
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Understanding Non-Verbal Irony Markers: Machine Learning Insights Versus Human Judgment by Spitale, Micol, Catania, Fabio, Panzeri, Francesca

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SURF: Eavesdropping on Underwater Communications from the Air by Mollahosseini, Poorya, Afzal, Sayed Saad, Adib, Fadel, Ghasempour, Yasaman

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Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation by Ando, Daisuke, Rashad, Sherif, Begley, Thomas J., Endo, Hidenori, Aoki, Masashi, Dedon, Peter C., Niizuma, Kuniyasu

“…The tRNA epitranscriptome has been recognized as an important player in mRNA translation regulation. …”
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Sitetack: a deep learning model that improves PTM prediction by using known PTMs by Gutierrez, Clair S, Kassim, Alia A, Gutierrez, Benjamin D, Raines, Ronald T

“…Motivation Post-translational modifications (PTMs) increase the diversity of the proteome and are vital to organismal life and therapeutic strategies. Deep learning has been used to predict PTM locations. Still, limitations in datasets and their analyses compromise success. …”
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Cell activation-based screening of natively paired human T cell receptor repertoires by Fahad, Ahmed S, Chung, Cheng Yu, López Acevedo, Sheila N, Boyle, Nicoleen, Madan, Bharat, Gutiérrez-González, Matías F, Matus-Nicodemos, Rodrigo, Laflin, Amy D, Ladi, Rukmini R, Zhou, John, Wolfe, Jacy, Llewellyn-Lacey, Sian, Koup, Richard A, Douek, Daniel C, Balfour, Henry H, Price, David A, DeKosky, Brandon J

“…Adoptive immune therapies based on the transfer of antigen-specific T cells have been used successfully to treat various cancers and viral infections, but improved techniques are needed to identify optimally protective human T cell receptors (TCRs). …”
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Simultaneous Measurements of Actin Filament Turnover, Filament Fraction, and Monomer Diffusion in Endothelial Cells by McGrath, J. L., Tardy, Y., Dewey, C. F. Jr, Meister, J. J., Hartwig, J. H.

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21A.340J / STS.075J Technology and Culture, Fall 2003 by Helmreich, Stefan, 1966-

“…We will be interested in how technologies have been used both to facilitate and undermine relations of inequality, and in whether technology has produced a better world, and for whom.…”
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SP.406 / WGS.406 Sexual and Gender Identities, Fall 2005 by Surkan, Kim

“…The social, cultural, and political effect of "queer" has been to pose critical challenges to gay/lesbian/straight identities predicated on a sexual binary. …”
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Lights, camera, emergency : preemptive planning for disaster relief by Weiss, Erica A

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Energy efficient commercial buildings : a study of natural daylighting in the context of adaptive reuse by Crowley, John Stephen.

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HYPERsensarium : an archive of atmospheric conditions by Shaw, Kelly E. (Kelly Evelyn)

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Intrinsic nanofilamentation in resistive switching by Migas, Dmitri B., Borisenko, Victor E., Wu, Xing, Cha, Dongkyu, Bosman, Michel, Raghavan, Nagarajan, Zhang, Xi Xiang, Li, Kun, Pey, Kin Leong

“…Intensive studies have been carried out on sandwiched metal-insulator-metal structures to achieve high density on-chip circuitry and non-volatile memory storage. …”
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Characteristics of InGaAs quantum dot infrared photodetectors by Xu, S. J., Chua, S. J., Mei, T., Wang, X. C., Zhang, X. H., Karunasiri, G., Fan, Weijun, Wang, C. H., Jiang, J., Wang, S., Xie, X. G.

“…A quantum dot infrared photodetector(QDIP) consisting of self-assembled InGaAs quantum dots has been demonstrated. Responsivity of 3.25 mA/W at 9.2 μm was obtained for nonpolarized incident light on the detector with a 45° angle facet at 60 K. …”
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Empirical comparison of bagging-based ensemble classifiers by Suganthan, P. N., Ye, Ren

“…The comparison of these four ensemble classifiers is novel because it has not been reported in the existing literature. The classifiers are evaluated with thirteen binary class datasets and the empirical results show that the ensemble methods employed in the four ensemble classifiers boost the testing accuracy by 1-5% on average from their base classifiers. …”
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Analysis of subtelomeric virulence gene families in Plasmodium falciparum by comparative transcriptional profiling by Witmer, Kathrin, Schmid, Christoph D., Brancucci, Nicolas M. B., Luah, Yen-Hoon, Preiser, Peter Rainer, Bozdech, Zbynek, Voss, Till S.

“…Unlike var promoters, promoters of non-var families are not silenced by default, and transcription of non-var families is not subject to the same mode of mutually exclusive transcription as has been observed for var genes. Our findings identified a differential logic in the regulation of var and other subtelomeric virulence gene families, which will have important implications for our understanding and future analyses of phenotypic variation in malaria parasites.…”
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Evolving optimal and diversified military operational plans for computational red teaming by Zeng, Fanchao, Decraene, James, Low, Malcolm Yoke Hean, Zhou, Suiping, Cai, Wentong

“…Numerous multiobjective evolutionary algorithms (MOEAs) have been applied to CRT; however, the elitist and converging nature of these Pareto-based optimization algorithms typically leads to the generation of optimal, with respect to the Pareto front, but poorly diversified adversarial operational plans. …”
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Distributed decisions on TV spectrum allocation considering spatial and temporal variation by Chen, Zhenwei, Zhang, Wenjie, Yang, Jingmin, Yang, Liwei, Yeo, Chai Kiat

“…One important issue is how to allocate TV spectrum to secondary users (SUs) by taking the spatial and temporal variations into consideration. This has been largely ignored in previous studies. In this paper, we first formulate the TV spectrum allocation problem as a 0–1 integer optimization problem, and then we approximate our optimal objective via Log-Sum-Exp function. …”
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Microstructure and mechanical behavior of 17-4 precipitation hardenable steel processed by selective laser melting by Rafi, H. Khalid, Pal, Deepankar, Patil, Nachiket, Starr, Thomas L., Stucker, Brent E.

“…The mechanical behavior and the microstructural evolution of 17-4 precipitation hardenable (PH) stainless steel processed using selective laser melting have been studied. Test coupons were produced from 17-4 PH stainless steel powder in argon and nitrogen atmospheres. …”
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