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6 Feb 2023: I also use genetic tools such as Gene Swap to establish new transgenic Drosophila lines for the research projects in the lab.

15 Dec 2023: This work was published in English Literary History (2015). This work was also covered in the New Scientist. ... More generally our analysis demonstrates how the type of large-scale data analysis that has transformed biology in recent years can lead to

12 May 2023: N. R. Cooper. Chapter 10 in Fractional Quantum Hall Effects: New Developments, editors B.I. ... Gunnar Möller and Nigel R. Cooper. New J. Phys. 20, 073025 (2018) [Topological Bands for Ultracold Atoms.

3 Apr 2023: Project MEDAL. Commissioning anadditive manufacturing machine. is time consuming. Propose process parameters for the400W M2 from GE Additivewith the new additive-specific.

2 Mar 2023: is time consuming. Propose process parameters for the400W M2 from GE Additivewith the new additive-specific.

10 Oct 2023: Oligonucleotides are a major emerging new class of medicines, offeringthe potential to treat a range of common and rare genetic diseases.However, broader clinical application is limited by challenges inoligonucleotide synthesis

23 May 2023: However, discovering new phenomena is not the onlychallenge: utilizing the freshly obtained knowledge for real-world applications is crucial. ... 2.1 Machine learning. Machine learning algorithms are trained on existing datato make predictions of target

28 Nov 2023: extrapolating new data for regression problems (continuous variables), however for the sake of. ... this new family of models. When evaluating imputation modeling against the five principles.

31 Mar 2023: New hits for projects targeting existing biological targetsof interest and high-quality compounds, overlooked duringoptimization projects, could be identified. ... The resultingmodels can then be applied to new compounds that have notyet been

19 Oct 2023: A game theory-inspired algorithm for automating the design of non-periodic integral 3D woven. composite preforms without scale limitations using a manufacturing-based parameterization. Zhen-Pei Wanga, Brian N. Coxb, Shemuel Joash S/O Kuehsamya,