More Like this

1. Ultra-rapid Electrophilic Cysteine Arylation

   https://doi.org/10.1021/jacs.3c10334  

   Lipka, Bradley M.; Honeycutt, Daniel S.; Bassett, Gregory M.; Kowal, Taylor N.; Adamczyk, Max; Cartnick, Zachary C.; Betti, Vincent M.; Goldberg, Jacob M.; Wang, Fang (November 2023, Journal of the American Chemical Society)
2. Rapid Earthquake Association and Location

   https://doi.org/10.1785/0220190052  

   Zhang, Miao; Ellsworth, William L.; Beroza, Gregory C. (September 2019, Seismological Research Letters)

   ABSTRACT Rapid association of seismic phases and event location are crucial for real‐time seismic monitoring. We propose a new method, named rapid earthquake association and location (REAL), for associating seismic phases and locating seismic events rapidly, simultaneously, and automatically. REAL combines the advantages of both pick‐based and waveform‐based detection and location methods. It associates arrivals of different seismic phases and locates seismic events primarily through counting the number of P and S picks and secondarily from travel‐time residuals. A group of picks are associated with a particular earthquake if there are enough picks within the theoretical travel‐time windows. The location is determined to be at the grid point with the most picks, and if multiple locations have the same maximum number of picks, the grid point among them with smallest travel‐time residuals. We refine seismic locations using a least‐squares location method (VELEST) and a high‐precision relative location method (hypoDD). REAL can be used for rapid seismic characterization due to its computational efficiency. As an example application, we apply REAL to earthquakes in the 2016 central Apennines, Italy, earthquake sequence occurring during a five‐day period in October 2016, midway in time between the two largest earthquakes. We associate and locate more than three times as many events (3341) as are in Italy's National Institute of Geophysics and Volcanology routine catalog (862). The spatial distribution of these relocated earthquakes shows a similar but more concentrated pattern relative to the cataloged events. Our study demonstrates that it is possible to characterize seismicity automatically and quickly using REAL and seismic picks. 

   more » « less
3. Rapid alignment updating with Extensiphy

   https://doi.org/10.1111/2041-210X.13790  

   Field, Jasper Toscani; Abrams, A. Jeanine; Cartee, John C.; McTavish, Emily Jane (March 2022, Methods in Ecology and Evolution)
4. Rapid Analysis of Network Connectivity

   https://doi.org/10.1145/3132847.3133170  

   Freitas, Scott; Tong, Hanghang; Cao, Nan; Xia, Yinglong (November 2017, ACM CIKM)

   This research focuses on accelerating the computational time of two base network algorithms (k-simple shortest paths and minimum spanning tree for a subset of nodes)---cornerstones behind a variety of network connectivity mining tasks---with the goal of rapidly finding networkpathways andtrees using a set of user-specific query nodes. To facilitate this process we utilize: (1) multi-threaded algorithm variations, (2) network re-use for subsequent queries and (3) a novel algorithm, Key Neighboring Vertices (KNV), to reduce the network search space. The proposed KNV algorithm serves a dual purpose: (a) to reduce the computation time for algorithmic analysis and (b) to identify key vertices in the network (\textit ). Empirical results indicate this combination of techniques significantly improves the baseline performance of both algorithms. We have also developed a web platform utilizing the proposed network algorithms to enable researchers and practitioners to both visualize and interact with their datasets (PathFinder: http://www.path-finder.io.) 

   more » « less
5. Why does rapid contraction of the radius of maximum wind precede rapid intensification in tropical cyclones?

   https://doi.org/10.1175/JAS-D-21-0129.1  

   Li, Yuanlong; Wang, Yuqing; Lin, Yanluan; Wang, Xin (August 2021, Journal of the Atmospheric Sciences)

   Abstract The radius of maximum wind (RMW) has been found to contract rapidly well preceding rapid intensification in tropical cyclones (TCs) in recent literature but the understanding of the involved dynamics is incomplete. In this study, this phenomenon is revisited based on ensemble axisymmetric numerical simulations. Consistent with previous studies, because the absolute angular momentum (AAM) is not conserved following the RMW, the phenomenon can not be understood based on the AAM-based dynamics. Both budgets of tangential wind and the rate of change in the RMW are shown to provide dynamical insights into the simulated relationship between the rapid intensification and rapid RMW contraction. During the rapid RMW contraction stage, due to the weak TC intensity and large RMW, the moderate negative radial gradient of radial vorticity flux and small curvature of the radial distribution of tangential wind near the RMW favor rapid RMW contraction but weak diabatic heating far inside the RMW leads to weak low-level inflow and small radial absolute vorticity flux near the RMW and thus a relatively small intensification rate. As RMW contraction continues and TC intensity increases, diabatic heating inside the RMW and radial inflow near the RMW increase, leading to a substantial increase in radial absolute vorticity flux near the RMW and thus the rapid TC intensification. However, the RMW contraction rate decreases rapidly due to the rapid increase in the curvature of the radial distribution of tangential wind near the RMW as the TC intensifies rapidly and RMW decreases. 

   more » « less