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  1. Coastal Communities are exposed to multiple hazards including hurricanes, storm surges, waves, and riverine flash floods. This paper presents the outcome of a Basin-wide Flood Multi-hazard Risks module that was developed and offered as part of a collaboration between two research projects: the UPRM-DHS Coastal Resilience Center of Excellence (CRC) funded by the Department of Homeland Security and the Resilient Infrastructure and Sustainability Education Undergraduate Program (RISE-UP) funded by the National Science Foundation (NSF). The content was designed to give students an understanding of complex project management in coastal communities. The main learning objective was for students to be able to assess and recognize the actions that can be taken to improve resiliency in coastal communities. Students learned how to manage multi-hazard floods. Through knowledge gained by participating in lectures, discussions, and the development of case studies, students were able to assess flood risk and current mitigation strategies for coastal communities in Puerto Rico. The learning experience provided an overview of the history, needs, and challenges that coastal communities face regarding flood and coastal hazards. Through the case studies, students were able to appreciate and understand the risk exposure on the natural and built infrastructure, and the importance of alwaysmore »taking into consideration the social impact.« less
    Free, publicly-accessible full text available June 26, 2023
  2. Historic science, technology, engineering and mathematics (STEM) disciplinary cultures were founded in a system that was predominately male, white, heterosexual, and able-bodied (i.e., “majority”). Some societal norms have changed, and so has demand for inclusive STEM engagement. However, legacy mental models, or deeply held beliefs and assumptions, linger and are embedded in the STEM system and disciplinary cultures. STEM reform is needed to maximize talent and create inclusive professions, but cannot be achieved without recognizing and addressing norms and practices that disproportionately serve majority vs. minoritized groups. As leading voices in disciplinary work and application, disciplinary and professional societies (Societies) are instrumental in shaping and sustaining STEM norms. We, leaders of the Amplifying the Alliance to Catalyze Change for Equity in STEM Success (ACCESS+) project, recognize the need to provide Society diversity, equity, and inclusion (DEI) change leaders with tools necessary to foster systemic change. In this Perspectives article, we present the Equity Environmental Scanning Tool (EEST) as an aid to help Society DEI change leaders elucidate legacy mental models, discern areas of strength, identify foci for advancement, and benchmark organizational change efforts. We share our rationale and work done to identify, and, ultimately, adapt a Society DEI self-assessment toolmore »from the United Kingdom. We share background information on the UK tool, content and structural changes made to create the EEST, and an overview of the resulting EEST. Ultimately, we seek to increase awareness of a Society-specific DEI self-assessment tool designed to help Society DEI change leaders advance inclusive reform.« less
    Free, publicly-accessible full text available June 14, 2023
  3. Professional STEM societies have been identified as an important lever to address STEM diversity, equity, and inclusion. In this Perspectives article, we chronicle the highlights of the first Amplifying the Alliance to Catalyze Change for Equity in STEM Success (ACCESS+) convening held in September 2021. Here, we introduce the three-part ACCESS+ approach using a model that entails (i) completion of a DEI self-assessment known as the equity environmental scanning tool, (ii) guided action plan development and iteration, and (iii) sustained participation in a community of practice.
  4. Free, publicly-accessible full text available December 1, 2023
  5. Free, publicly-accessible full text available November 1, 2023
  6. Free, publicly-accessible full text available September 1, 2023
  7. A bstract A search is presented for a heavy W′ boson resonance decaying to a B or T vector-like quark and a t or a b quark, respectively. The analysis is performed using proton-proton collisions collected with the CMS detector at the LHC. The data correspond to an integrated luminosity of 138 fb − 1 at a center-of-mass energy of 13 TeV. Both decay channels result in a signature with a t quark, a Higgs or Z boson, and a b quark, each produced with a significant Lorentz boost. The all-hadronic decays of the Higgs or Z boson and of the t quark are selected using jet substructure techniques to reduce standard model backgrounds, resulting in a distinct three-jet W′ boson decay signature. No significant deviation in data with respect to the standard model background prediction is observed. Upper limits are set at 95% confidence level on the product of the W′ boson cross section and the final state branching fraction. A W′ boson with a mass below 3.1 TeV is excluded, given the benchmark model assumption of democratic branching fractions. In addition, limits are set based on generalizations of these assumptions. These are the most sensitive limits to datemore »for this final state.« less
    Free, publicly-accessible full text available September 1, 2023
  8. Free, publicly-accessible full text available August 1, 2023
  9. Free, publicly-accessible full text available August 1, 2023
  10. Abstract A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons ( τ h ) that originate from genuine tau leptons in the CMS detector against τ h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a τ h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine τ h to pass the discriminator against jets increases by 10–30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient τ h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved τ h reconstruction method are validated with LHC proton-proton collision data at √ s = 13 TeV.
    Free, publicly-accessible full text available July 1, 2023