Mahne, Nika, et al. “Mechanism and Performance of Lithium–Oxygen Batteries – a Perspective.”10.1039/c7sc02519j__Chemical Science, vol. 8, no. 10, RSC, 2017, pp. 6716–29, doi:10.1039/c7sc02519j.

Schafzahl, Lukas, et al. “An Electrolyte for Reversible Cycling of Sodium Metal and Intercalation Compounds.”10.1002/cssc.201601222__ChemSusChem, vol. 10, no. 2, Wiley, 2017, pp. 401–08, doi:10.1002/cssc.201601222.

Novarino, Gaia. “The Science of Love in ASD and ADHD.”10.1126/scitranslmed.aap8168__Science Translational Medicine, vol. 9, no. 411, ea, American Association for the Advancement of Science, 2017, doi:10.1126/scitranslmed.aap8168.

Smole, Anee, et al. “A Synthetic Mammalian Therapeutic Gene Circuit for Sensing and Suppressing Inflammation.”10.1016/j.ymthe.2016.10.005__Molecular Therapy, vol. 25, no. 1, Elsevier, 2017, pp. 102–19, doi:10.1016/j.ymthe.2016.10.005.

Wenzl, Bernhard. “‘...Beyond the Invisible Barrier at Portage and Main’: Liminality in John Marlyn’s Under the Ribs of Death.”10.3726/b11899__In-Between - Liminal Spaces in Canadian Literature and Culture, edited by Stefan Brandt, Peter Lang GmbH, 2017, pp. 91–100, doi:10.3726/b11899.

Pielorz, Jasmin, et al. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.”10.1109/BigData.2017.8258375__2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–63, doi:10.1109/BigData.2017.8258375.

Tropf, Felix C., et al. “Hidden Heritability Due to Heterogeneity across Seven Populations.”10.1038/s41562-017-0195-1__Nature Human Behaviour, vol. 1, no. 10, Springer Nature, 2017, pp. 757–65, doi:10.1038/s41562-017-0195-1.

Burger, D., et al. “Major Histocompatibility Complex-Linked Social Signalling Affects Female Fertility.”10.1098/rspb.2017.1824__Proceedings of the Royal Society B: Biological Sciences, vol. 284, no. 1868, 20171824, The Royal Society, 2017, doi:10.1098/rspb.2017.1824.

Yengo, Loic, et al. “Detection and Quantification of Inbreeding Depression for Complex Traits from SNP Data.”10.1073/pnas.1621096114__Proceedings of the National Academy of Sciences, vol. 114, no. 32, Proceedings of the National Academy of Sciences, 2017, pp. 8602–07, doi:10.1073/pnas.1621096114.

Reger, Julia, et al. “Predation Drives Local Adaptation of Phenotypic Plasticity.”10.1038/s41559-017-0373-6__Nature Ecology &; Evolution, vol. 2, Springer Nature, 2017, pp. 100–07, doi:10.1038/s41559-017-0373-6.

Garton, Fleur C., et al. “Whole Exome Sequencing and DNA Methylation Analysis in a Clinical Amyotrophic Lateral Sclerosis Cohort.”10.1002/mgg3.302__Molecular Genetics &; Genomic Medicine, vol. 5, no. 4, Wiley, 2017, pp. 418–28, doi:10.1002/mgg3.302.

Lloyd-Jones, Luke R., et al. “Inference on the Genetic Basis of Eye and Skin Color in an Admixed Population via Bayesian Linear Mixed Models.”10.1534/genetics.116.193383__Genetics, vol. 206, no. 2, Genetics Society of America, 2017, pp. 1113–26, doi:10.1534/genetics.116.193383.

Sethna, James P., et al. “Deformation of Crystals: Connections with Statistical Physics.”10.1146/annurev-matsci-070115-032036__Annual Review of Materials Research, vol. 47, Annual Reviews, 2017, pp. 217–46, doi:10.1146/annurev-matsci-070115-032036.

Rocks, Jason W., et al. “Designing Allostery-Inspired Response in Mechanical Networks.”10.1073/pnas.1612139114__Proceedings of the National Academy of Sciences, vol. 114, no. 10, Proceedings of the National Academy of Sciences, 2017, pp. 2520–25, doi:10.1073/pnas.1612139114.

Goodrich, Carl Peter, and Michael P. Brenner. “Using Active Colloids as Machines to Weave and Braid on the Micrometer Scale.”10.1073/pnas.1608838114__Proceedings of the National Academy of Sciences, vol. 114, no. 2, Proceedings of the National Academy of Sciences, 2017, pp. 257–62, doi:10.1073/pnas.1608838114.

Baity-Jesi, Marco, et al. “Emergent SO(3) Symmetry of the Frictionless Shear Jamming Transition.”10.1007/s10955-016-1703-9__Journal of Statistical Physics, vol. 167, no. 3–4, Springer Nature, 2017, pp. 735–48, doi:10.1007/s10955-016-1703-9.

Alistarh, Dan-Adrian, et al. Robust Detection in Leak-Prone Population Protocols. Vol. 10467 LNCS, Springer, 2017, pp. 155–71, doi:10.1007/978-3-319-66799-7_11.

Alistarh, Dan-Adrian, et al. Time-Space Trade-Offs in Population Protocols. SIAM, 2017, pp. 2560–79, doi:doi.org/10.1137/1.9781611974782.169.

Alistarh, Dan-Adrian, et al. Forkscan: Conservative Memory Reclamation for Modern Operating Systems. ACM, 2017, pp. 483–98, doi:10.1145/3064176.3064214.

Kara, Kaan, et al. FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off. IEEE, 2017, pp. 160–67, doi:10.1109/FCCM.2017.39.