Asians are perceived as overrepresented in computing fields. However, understanding how intersecting identities complicates this view is essential. When considering gender, ethnicity, and socioeconomic class, it becom...
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Deep learning(DL) frameworks are widely used for neural network model training and prediction in a lot of areas such as computer vision, natural language processing, medical image and so on. However, DL frameworks may...
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Grothendieck point residue is considered in the context of symbolic computation. Based on the theory of holonomic D-modules associated to a local cohomology class, a new effective method is given for computing Grothen...
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We introduce a new algorithm for computing the periods of a smooth complex projective hypersurface. The algorithm intertwine with a new method for computing an explicit basis of the singular homology of the hypersurfa...
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We discuss general properties of perturbative RG flows in AdS with a focus on the treatment of boundary conditions and infrared divergences. In contrast with flat-space boundary QFT, general covariance in AdS implies ...
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Artificial intelligence (AI) produces positive effects on the productivity and efficiency for organizations and is widely adopted in various contexts. Although individuals’ adoption of new technology has been studied...
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We present a tight RMR complexity lower bound for the recoverable mutual exclusion (RME) problem, defined by Golab and Ramaraju [9]. In particular, we show that any n-process RME algorithm using only atomic read, writ...
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Storytelling is a universal human practice that serves as a key site of education, collective memory, fostering social belief systems, and furthering human creativity. It can occur in different discursive domains for ...
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Irregular-shaped wiring structures are usually encountered in practical applications. In this work, a wiring structure encompassing a loop is modeled geometrically by resorting to a 3D cylindrical helix. To predict th...
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The development of modern computer technologies makes an urgent task of improving methods of storing, transferring and processing information. One of these methods is the Residue Number System (RNS), based on parallel...
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