10,475 research outputs found

    How Latino anger about Trump has led to greater political action

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    During the 2016 election campaign, one of Donald Trump's main platforms was to attack Mexicans and immigrants. In new research, Angela Gutierrez, Angela X. Ocampo, and co-authors find that these attacks meant that Latinos were more likely to feel solidarity with immigrants and therefore feel angry at Trump during the election. Since the election, these Latino voters have channeled their anger into greater levels of political activity, such as donating to campaigns and protests

    Genome-wide profiling of uncapped mRNA

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    Gene transcripts are under extensive posttranscriptional regulation, including the regulation of their stability. A major route for mRNA degradation produces uncapped mRNAs, which can be generated by decapping enzymes, endonucleases, and small RNAs. Profiling uncapped mRNA molecules is important for the understanding of the transcriptome, whose composition is determined by a balance between mRNA synthesis and degradation. In this chapter, we describe a method to profile these uncapped mRNAs at the genome scale

    THE NETTED HUMANITARIAN: IMPROVING THE INFORMATION AND COMMUNICATIONS TECHNOLOGY ASSESSMENT PROCESS FOR HUMANITARIAN ASSISTANCE/DISASTER RELIEF (HA/DR) MISSIONS C

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    Setting up reliable communications after a disaster is an extremely difficult yet crucial requirement for coordinating relief efforts. Lessons learned from recent humanitarian disasters point to major difficulties in establishing communications to quickly and accurately assess responder needs in the affected area and communicating this information to first responders from government relief agencies, Non-Governmental Organizations (NGOs) and the military. The militarys growing role in Humanitarian Assistance/Disaster Relief (HA/DR) missions makes it imperative that military first responders coordinate with partner relief groups to improve the current assessment and relief processes. The current assessment and relief processes are generally ineffective due to inherent mistrust between responding organizations and lack of experience working together in a chaotic and time-pressed environment. This research analyzes issues with the current processes utilized by responders in HA/DR missions and researches if Netted Humanitarian responders trained in the set up/operation of Hastily Formed Networks (HFN) equipment can improve the process of assessing the ICT situation on the ground following a disaster. It further delves into the possibility that these highly trained individuals will expedite overcoming the communications vacuum that immediately follows a natural disaster, and will be beneficial in coordinating the combined recovery efforts of responding organizations.http://archive.org/details/thenettedhumanit1094532832Lieutenant, United States NavyApproved for public release; distribution is unlimited

    GaAs‐based multiple quantum well tunneling injection lasers

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    We report the modulation characteristics of multiple quantum well tunneling injection lasers designed for 0.98 μm emission wavelength. Electrons are injected into the active region through a single barrier via tunneling. The active region has four quantum wells with different well widths. Improved high frequency performance, compared to similar separate confinement heterostructure lasers, has been demonstrated. The modulation response at 21 GHz is above 0 dB and the extrapolated −3 dB modulation bandwidth is ∼30 GHz under pulsed bias. © 1996 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/70389/2/APPLAB-69-16-2309-1.pd

    A first step to accelerating fingerprint matching based on deformable minutiae clustering

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    Fingerprint recognition is one of the most used biometric methods for authentication. The identification of a query fingerprint requires matching its minutiae against every minutiae of all the fingerprints of the database. The state-of-the-art matching algorithms are costly, from a computational point of view, and inefficient on large datasets. In this work, we include faster methods to accelerating DMC (the most accurate fingerprint matching algorithm based only on minutiae). In particular, we translate into C++ the functions of the algorithm which represent the most costly tasks of the code; we create a library with the new code and we link the library to the original C# code using a CLR Class Library project by means of a C++/CLI Wrapper. Our solution re-implements critical functions, e.g., the bit population count including a fast C++ PopCount library and the use of the squared Euclidean distance for calculating the minutiae neighborhood. The experimental results show a significant reduction of the execution time in the optimized functions of the matching algorithm. Finally, a novel approach to improve the matching algorithm, considering cache memory blocking and parallel data processing, is presented as future work.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    Realistic Gluino Axion Model Consistent with Supersymmetry Breaking at the TeV Scale

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    The recently proposed model of using the dynamical phase of the gluino to solve the strong CP problem is shown to admit a specific realization in terms of fundamental singlet superfields, such that the breaking of supersymmetry occurs only at the TeV scale, despite the large axion scale of 10^{9} to 10^{12} GeV. Phenomenological implications are discussed.Comment: 12 pp, 2 fig
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