H. P. Wang - Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Science, Beijing, P.R. China

H. P. Wang
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H. P. Wang
Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Science, Beijing, P.R. China

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Physics - Mesoscopic Systems and Quantum Hall Effect (6)
Physics - Instrumentation and Detectors (6)
Computer Science - Computer Vision and Pattern Recognition (5)
Quantum Physics (4)
Physics - Optics (4)
Cosmology and Nongalactic Astrophysics (4)
Computer Science - Computation and Language (3)
Computer Science - Data Structures and Algorithms (3)
Physics - Materials Science (3)
Computer Science - Computational Geometry (3)
Mathematics - Combinatorics (2)
Computer Science - Learning (2)
Solar and Stellar Astrophysics (2)
Mathematics - Rings and Algebras (2)
High Energy Physics - Experiment (2)
Mathematics - Information Theory (2)
Computer Science - Information Theory (2)
Mathematics - Classical Analysis and ODEs (1)
Physics - Chemical Physics (1)
General Relativity and Quantum Cosmology (1)
Astrophysics of Galaxies (1)
Computer Science - Computers and Society (1)
Instrumentation and Methods for Astrophysics (1)
High Energy Astrophysical Phenomena (1)
Physics - Superconductivity (1)
Mathematics - Optimization and Control (1)
Quantitative Biology - Molecular Networks (1)
Computer Science - Distributed; Parallel; and Cluster Computing (1)
Computer Science - Artificial Intelligence (1)
Computer Science - Human-Computer Interaction (1)
Physics - Strongly Correlated Electrons (1)
Mathematics - Operator Algebras (1)
Computer Science - Robotics (1)
Computer Science - Discrete Mathematics (1)
Physics - Physics and Society (1)
Physics - Biological Physics (1)

Publications Authored By H. P. Wang

An oriented graph $G^\sigma$ is a digraph without loops or multiple arcs whose underlying graph is $G$. Let $S\left(G^\sigma\right)$ be the skew-adjacency matrix of $G^\sigma$ and $\alpha(G)$ be the independence number of $G$. The rank of $S(G^\sigma)$ is called the skew-rank of $G^\sigma$, denoted by $sr(G^\sigma)$. Read More

An adaptive regularization algorithm using high-order models is proposed for partially separable convexly constrained nonlinear optimization problems whose objective function contains non-Lipschitzian $\ell_q$-norm regularization terms for $q\in (0,1)$. It is shown that the algorithm using an $p$-th order Taylor model for $p$ odd needs in general at most $O(\epsilon^{-(p+1)/p})$ evaluations of the objective function and its derivatives (at points where they are defined) to produce an $\epsilon$-approximate first-order critical point. This result is obtained either with Taylor models at the price of requiring the feasible set to be 'kernel-centered' (which includes bound constraints and many other cases of interest), or for non-Lipschitz models, at the price of passing the difficulty to the computation of the step. Read More

All-solid-state strong light-matter coupling systems with large vacuum Rabi splitting are great important for quantum information application, such as quantum manipulation, quantum information storage and processing. The monolayer transition metal dichalcogenides (TMDs) have been explored as excellent candidates for the strong light-matter interaction, due to their extraordinary exciton binding energies and remarkable optical properties. Here, for both of experimental and theoretical aspects, we explored resonance coupling effect between exciton and plasmonic nanocavity in heterostructures consisting of monolayer tungsten diselenide (WSe2) and an individual Au nanorod. Read More

In layered transition metal dichalcogenides (LTMDCs) that display both charge density waves (CDWs) and superconductivity, the superconducting state generally emerges directly on suppression of the CDW state. Here, however, we report a different observation for pressurized TaTe2, a non-superconducting CDW-bearing LTMDC at ambient pressure. We find that a superconducting state does not occur in TaTe2 after the full suppression of its CDW state, which we observe at about 3 GPa, but, rather, a non-superconducting semimetal state is observed. Read More

In this paper, we introduce a weak group inverse (called the WG inverse in the present paper) for square matrices of an arbitrary index, and give some of its characterizations and properties. Furthermore, we introduce two orders: one is a pre-order and the other is a partial order, and derive several characterizations of the two orders. At last, one characterization of the core-EP order is derived by using the WG inverses. Read More

Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an object. They are therefore particularly suitable for computer vision tasks, such as saliency detection and object proposal generation. Read More

Authors: CUORE Collaboration, C. Alduino, K. Alfonso, D. R. Artusa, F. T. Avignone III, O. Azzolini, T. I. Banks, G. Bari, J. W. Beeman, F. Bellini, G. Benato, A. Bersani, M. Biassoni, A. Branca, C. Brofferio, C. Bucci, A. Camacho, A. Caminata, L. Canonica, X. G. Cao, S. Capelli, L. Cappelli, L. Carbone, L. Cardani, P. Carniti, N. Casali, L. Cassina, D. Chiesa, N. Chott, M. Clemenza, S. Copello, C. Cosmelli, O. Cremonesi, R. J. Creswick, J. S. Cushman, A. D'Addabbo, I. Dafinei, C. J. Davis, S. Dell'Oro, M. M. Deninno, S. Di Domizio, M. L. Di Vacri, A. Drobizhev, D. Q. Fang, M. Faverzani, G. Fernandes, E. Ferri, F. Ferroni, E. Fiorini, M. A. Franceschi, S. J. Freedman, B. K. Fujikawa, A. Giachero, L. Gironi, A. Giuliani, L. Gladstone, P. Gorla, C. Gotti, T. D. Gutierrez, E. E. Haller, K. Han, E. Hansen, K. M. Heeger, R. Hennings-Yeomans, K. P. Hickerson, H. Z. Huang, R. Kadel, G. Keppel, Yu. G. Kolomensky, A. Leder, C. Ligi, K. E. Lim, Y. G. Ma, M. Maino, L. Marini, M. Martinez, R. H. Maruyama, Y. Mei, N. Moggi, S. Morganti, P. J. Mosteiro, T. Napolitano, M. Nastasi, C. Nones, E. B. Norman, V. Novati, A. Nucciotti, T. O'Donnell, J. L. Ouellet, C. E. Pagliarone, M. Pallavicini, V. Palmieri, L. Pattavina, M. Pavan, G. Pessina, V. Pettinacci, G. Piperno, C. Pira, S. Pirro, S. Pozzi, E. Previtali, C. Rosenfeld, C. Rusconi, M. Sakai, S. Sangiorgio, D. Santone, B. Schmidt, J. Schmidt, N. D. Scielzo, V. Singh, M. Sisti, A. R. Smith, L. Taffarello, M. Tenconi, F. Terranova, C. Tomei, S. Trentalange, M. Vignati, S. L. Wagaarachchi, B. S. Wang, H. W. Wang, B. Welliver, J. Wilson, L. A. Winslow, T. Wise, A. Woodcraft, L. Zanotti, G. Q. Zhang, B. X. Zhu, S. Zimmermann, S. Zucchelli, M. Laubenstein

The Cryogenic Underground Observatory for Rare Events (CUORE) is designed to search for neutrinoless double beta decay of 130Te with an array of 988 TeO2 bolometers operating at temperatures around 10 mK. The experiment is currently being commissioned in Hall A of Laboratori Nazionali del Gran Sasso, Italy. The goal of CUORE is to reach a 90\% C. Read More

We discuss the application of the Agapito Curtarolo and Buongiorno Nardelli (ACBN0) pseudo-hybrid Hubbard density functional to several transition metal oxides. ACBN0 is a fast, accurate and parameter-free alternative to traditional DFT+$U$ and hybrid exact exchange methods. In ACBN0, the Hubbard energy of DFT+$U$ is calculated via the direct evaluation of the local Coulomb and exchange integrals in which the screening of the bare Coulomb potential is accounted for by a renormalization of the density matrix. Read More

Authors: XENON Collaboration, E. Aprile, J. Aalbers, F. Agostini, M. Alfonsi, F. D. Amaro, M. Anthony, F. Arneodo, P. Barrow, L. Baudis, B. Bauermeister, M. L. Benabderrahmane, T. Berger, P. A. Breur, A. Brown, E. Brown, S. Bruenner, G. Bruno, R. Budnik, L. Bütikofer, J. Calven, J. M. R. Cardoso, M. Cervantes, D. Cichon, D. Coderre, A. P. Colijn, J. Conrad, J. P. Cussonneau, M. P. Decowski, P. de Perio, P. Di Gangi, A. Di Giovanni, S. Diglio, G. Eurin, J. Fei, A. D. Ferella, A. Fieguth, D. Franco, W. Fulgione, A. Gallo Rosso, M. Galloway, F. Gao, M. Garbini, C. Geis, L. W. Goetzke, L. Grandi, Z. Greene, C. Grignon, C. Hasterok, E. Hogenbirk, R. Itay, B. Kaminsky, G. Kessler, A. Kish, H. Landsman, R. F. Lang, D. Lellouch, L. Levinson, M. Le Calloch, Q. Lin, S. Lindemann, M. Lindner, J. A. M. Lopes, A. Manfredini, I. Maris, T. Marrodán Undagoitia, J. Masbou, F. V. Massoli, D. Masson, D. Mayani, M. Messina, K. Micheneau, B. Miguez, A. Molinario, M. Murra, J. Naganoma, K. Ni, U. Oberlack, P. Pakarha, B. Pelssers, R. Persiani, F. Piastra, J. Pienaar, M. -C. Piro, V. Pizzella, G. Plante, N. Priel, L. Rauch, S. Reichard, C. Reuter, A. Rizzo, S. Rosendahl, N. Rupp, R. Saldanha, J. M. F. dos Santos, G. Sartorelli, M. Scheibelhut, S. Schindler, J. Schreiner, M. Schumann, L. Scotto Lavina, M. Selvi, P. Shagin, E. Shockley, M. Silva, H. Simgen, M. v. Sivers, A. Stein, D. Thers, A. Tiseni, G. Trinchero, C. D. Tunnell, N. Upole, H. Wang, Y. Wei, C. Weinheimer, J. Wulf, J. Ye, Y. Zhang, M. Laubenstein, S. Nisi

The XENON1T dark matter experiment aims to detect Weakly Interacting Massive Particles (WIMPs) through low-energy interactions with xenon atoms. To detect such a rare event necessitates the use of radiopure materials to minimize the number of background events within the expected WIMP signal region. In this paper we report the results of an extensive material radioassay campaign for the XENON1T experiment. Read More

Intermediate mass black holes (IMBHs) with a mass between $10^{2}$ and $10^{5}$ times that of the sun, which bridges the {mass gap between the} stellar-mass black holes and the supermassive black holes, are crucial in understanding the evolution of the black holes. Although they are widely believed to exist, decisive evidence has long been absent. Motivated by the successful detection of massive stellar-mass black holes by advanced LIGO, through the gravitational wave radiation during the binary merger, in this work we investigate the prospect of detecting/identifying the lightest IMBHs (LIMBHs; the black holes $\gtrsim 100M_\odot$) with the second generation gravitational wave detectors. Read More

We consider a classical k-center problem in trees. Let T be a tree of n vertices and every vertex has a nonnegative weight. The problem is to find k centers on the edges of T such that the maximum weighted distance from all vertices to their closest centers is minimized. Read More

Many robotic tasks require heavy computation, which can easily exceed the robot's onboard computer capability. A promising solution to address this challenge is outsourcing the computation to the cloud. However, exploiting the potential of cloud resources in robotic software is difficult, because it involves complex code modification and extensive (re)configuration procedures. Read More

Singlish can be interesting to the ACL community both linguistically as a major creole based on English, and computationally for information extraction and sentiment analysis of regional social media. We investigate dependency parsing of Singlish by constructing a dependency treebank under the Universal Dependencies scheme, and then training a neural network model by integrating English syntactic knowledge into a state-of-the-art parser trained on the Singlish treebank. Results show that English knowledge can lead to 25% relative error reduction, resulting in a parser of 84. Read More

We investigate the dynamical effects of non-Gaussian noisy fluctuations on the evolution of the transcrip- tion factor activator in the kinetic model of a single genetic regulation system. The noisy fluctuations arise from the determination of the synthesis rate and degradation rate, and are modeled by asymmetric stable L\'evy motions. We use two deterministic quantities, the mean first exit time (MFET) and the first escape probability (FEP), to examine the transition events from low to concentration states under the influences of two types of noise. Read More

The light curves of solar-type stars present both periodic fluctuation and flare spikes. The gradual periodic fluctuation is interpreted as the rotational modulation of magnetic features on the stellar surface and is used to deduce magnetic feature activity properties. The flare spikes in light curves are used to derive flare activity properties. Read More

Recurrent feedback connections in the mammalian visual system have been hypothesized to play a role in synthesizing input in the theoretical framework of analysis by synthesis. The comparison of internally synthesized representation with that of the input provides a validation mechanism during perceptual inference and learning. Inspired by these ideas, we proposed that the synthesis machinery can compose new, unobserved images by imagination to train the network itself so as to increase the robustness of the system in novel scenarios. Read More

Studying the dynamics of filaments at pre-eruption phase can shed light on the precursor of eruptive events. Such studies in high-resolution (in the order of 0.1") are highly desirable yet very rare so far. Read More

Authors: E. Aprile, J. Aalbers, F. Agostini, M. Alfonsi, F. D. Amaro, M. Anthony, F. Arneodo, P. Barrow, L. Baudis, B. Bauermeister, M. L. Benabderrahmane, T. Berger, P. A. Breur, A. Brown, A. Brown, E. Brown, S. Bruenner, G. Bruno, R. Budnik, L. Bütikofer, J. Calvén, J. M. R. Cardoso, M. Cervantes, D. Cichon, D. Coderre, A. P. Colijn, J. Conrad, J. P. Cussonneau, M. P. Decowski, P. de Perio, P. Di Gangi, A. Di Giovanni, S. Diglio, G. Eurin, J. Fei, A. D. Ferella, A. Fieguth, W. Fulgione, A. Gallo Rosso, M. Galloway, F. Gao, M. Garbini, R. Gardner, C. Geis, L. W. Goetzke, L. Grandi, Z. Greene, C. Grignon, C. Hasterok, E. Hogenbirk, J. Howlett, R. Itay, B. Kaminsky, S. Kazama, G. Kessler, A. Kish, H. Landsman, R. F. Lang, D. Lellouch, L. Levinson, Q. Lin, S. Lindemann, M. Lindner, F. Lombardi, J. A. M. Lopes, A. Manfredini, I. Mariş, T. Marrodán Undagoitia, J. Masbou, F. V. Massoli, D. Masson, D. Mayani, M. Messina, K. Micheneau, A. Molinario, K. Morå, M. Murra, J. Naganoma, K. Ni, U. Oberlack, P. Pakarha, B. Pelssers, R. Persiani, F. Piastra, J. Pienaar, V. Pizzella, M. -C. Piro, G. Plante, N. Priel, L. Rauch, S. Reichard, C. Reuter, B. Riedel, A. Rizzo, S. Rosendahl, N. Rupp, R. Saldanha, J. M. F. dos Santos, G. Sartorelli, M. Scheibelhut, S. Schindler, J. Schreiner, M. Schumann, L. Scotto Lavina, M. Selvi, P. Shagin, E. Shockley, M. Silva, H. Simgen, M. v. Sivers, A. Stein, S. Thapa, D. Thers, A. Tiseni, G. Trinchero, C. Tunnell, M. Vargas, N. Upole, H. Wang, Z. Wang, Y. Wei, C. Weinheimer, J. Wulf, J. Ye, Y. Zhang, T. Zhu

We report the first dark matter search results from XENON1T, a $\sim$2000-kg-target-mass dual-phase (liquid-gas) xenon time projection chamber in operation at the Laboratori Nazionali del Gran Sasso in Italy and the first ton-scale detector of this kind. The blinded search used 34.2 live days of data acquired between November 2016 and January 2017. Read More

This letter adopts long short-term memory(LSTM) to predict sea surface temperature(SST), which is the first attempt, to our knowledge, to use recurrent neural network to solve the problem of SST prediction, and to make one week and one month daily prediction. We formulate the SST prediction problem as a time series regression problem. LSTM is a special kind of recurrent neural network, which introduces gate mechanism into vanilla RNN to prevent the vanished or exploding gradient problem. Read More

Authors: C. E. Aalseth, F. Acerbi, P. Agnes, I. F. M. Albuquerque, T. Alexander, A. Alici, A. K. Alton, P. Ampudia, P. Antonioli, S. Arcelli, R. Ardito, I. J. Arnquist, D. M. Asner, H. O. Back, G. Batignani, E. Bertoldo, S. Bettarini, M. G. Bisogni, V. Bocci, A. Bondar, G. Bonfini, W. Bonivento, M. Bossa, B. Bottino, R. Bunker, S. Bussino, A. Buzulutskov, M. Cadeddu, M. Cadoni, A. Caminata, N. Canci, A. Candela, C. Cantini, M. Caravati, M. Cariello, M. Carlini, M. Carpinelli, A. Castellani, S. Catalanotti, V. Cataudella, P. Cavalcante, R. Cereseto, Y. Chen, A. Chepurnov, A. Chiavassa, C. Cicalò, L. Cifarelli, M. Citterio, A. G. Cocco, M. Colocci, S. Corgiolu, G. Covone, P. Crivelli, I. D'Antone, M. D'Incecco, M. D. Da Rocha Rolo, M. Daniel, S. Davini, A. De Candia, S. De Cecco, M. De Deo, G. De Filippis, G. De Guido, G. De Rosa, G. Dellacasa, P. Demontis, A. V. Derbin, A. Devoto, F. Di Eusanio, G. Di Pietro, C. Dionisi, A. Dolgov, I. Dormia, S. Dussoni, A. Empl, A. Ferri, C. Filip, G. Fiorillo, K. Fomenko, D. Franco, G. E. Froudakis, F. Gabriele, A. Gabrieli, C. Galbiati, P. Garcia Abia, A. Gendotti, A. Ghisi, S. Giagu, G. Gibertoni, C. Giganti, M. Giorgi, G. K. Giovanetti, M. L. Gligan, A. Gola, O. Gorchakov, A. M. Goretti, F. Granato, M. Grassi, J. W. Grate, G. Y. Grigoriev, M. Gromov, M. Guan, M. B. B. Guerra, M. Guerzoni, M. Gulino, R. K. Haaland, B. Harrop, E. W. Hoppe, S. Horikawa, B. Hosseini, D. Hughes, P. Humble, E. V. Hungerford, An. Ianni, S. Jimenez Cabre, T. N. Johnson, K. Keeter, C. L. Kendziora, S. Kim, G. Koh, D. Korablev, G. Korga, A. Kubankin, R. Kugathasan, M. Kuss, X. Li, M. Lissia, G. U. Lodi, B. Loer, G. Longo, R. Lussana, L. Luzzi, Y. Ma, A. A. Machado, I. N. Machulin, L. Mais, A. Mandarano, L. Mapelli, M. Marcante, A. Margotti, S. M. Mari, M. Mariani, J. Maricic, M. Marinelli, D. Marras, C. J. Martoff, M. Mascia, A. Messina, P. D. Meyers, R. Milincic, A. Moggi, S. Moioli, S. Monasterio, J. Monroe, A. Monte, M. Morrocchi, W. Mu, V. N. Muratova, S. Murphy, P. Musico, R. Nania, J. Napolitano, A. Navrer Agasson, I. Nikulin, V. Nosov, A. O. Nozdrina, N. N. Nurakhov, A. Oleinik, V. Oleynikov, M. Orsini, F. Ortica, L. Pagani, M. Pallavicini, S. Palmas, L. Pandola, E. Pantic, E. Paoloni, G. Paternoster, V. Pavletcov, F. Pazzona, K. Pelczar, L. A. Pellegrini, N. Pelliccia, F. Perotti, R. Perruzza, C. Piemonte, F. Pilo, A. Pocar, D. Portaluppi, S. S. Poudel, D. A. Pugachev, H. Qian, B. Radics, F. Raffaelli, F. Ragusa, K. Randle, M. Razeti, A. Razeto, V. Regazzoni, C. Regenfus, B. Reinhold, A. L. Renshaw, M. Rescigno, Q. Riffard, A. Rivetti, A. Romani, L. Romero, B. Rossi, N. Rossi, A. Rubbia, D. Sablone, P. Salatino, O. Samoylov, W. Sands, M. Sant, R. Santorelli, C. Savarese, E. Scapparone, B. Schlitzer, G. Scioli, E. Sechi, E. Segreto, A. Seifert, D. A. Semenov, S. Serci, A. Shchagin, L. Shekhtman, E. Shemyakina, A. Sheshukov, M. Simeone, P. N. Singh, M. D. Skorokhvatov, O. Smirnov, G. Sobrero, A. Sokolov, A. Sotnikov, C. Stanford, G. B. Suffritti, Y. Suvorov, R. Tartaglia, G. Testera, A. Tonazzo, A. Tosi, P. Trinchese, E. V. Unzhakov, A. Vacca, M. Verducci, T. Viant, F. Villa, A. Vishneva, B. Vogelaar, M. Wada, J. Wahl, S. Walker, H. Wang, Y. Wang, A. W. Watson, S. Westerdale, J. Wilhelmi, R. Williams, M. M. Wojcik, S. Wu, X. Xiang, X. Xiao, C. Yang, Z. Ye, F. Zappa, G. Zappalà, C. Zhu, A. Zichichi, G. Zuzel

We report on the cryogenic characterization of Red Green Blue - High Density (RGB-HD) SiPMs developed at Fondazione Bruno Kessler (FBK) as part of the DarkSide program of dark matter searches with liquid argon time projection chambers. A dedicated setup was used to measure the primary dark noise, the correlated noise, and the gain of the SiPMs at varying temperatures. A custom-made data acquisition system and analysis software were used to precisely characterize these parameters. Read More

Frequency combs have applications that now extend from the ultra-violet into the mid infrared bands. Microcombs, a miniature and often semiconductor-chip-based device, can potentially access most of these applications, but are currently more limited in spectral reach. Here, we demonstrate mode-locked silica microcombs with emission near the edge of the visible spectrum. Read More

The Quantum spin liquid (QSL) is an exotic quantum state of matter that does not exhibit classical magnetic order at zero temperature. The realization of such a state in actual materials is of significant importance, as it would provide a path to protected states for quantum information and also to Majorana fermions - both very active areas of interest in condensed matter physics. No solid evidence for the existence of such materials has been established in the laboratory, however, despite a decades-long search. Read More

In this paper, we study power-efficient resource allocation for multicarrier non-orthogonal multiple access (MC-NOMA) systems. The resource allocation algorithm design is formulated as a non-convex optimization problem which jointly designs the power allocation, rate allocation, user scheduling, and successive interference cancellation (SIC) decoding policy for minimizing the total transmit power. The proposed framework takes into account the imperfection of channel state information at transmitter (CSIT) and quality of service (QoS) requirements of users. Read More

Massive public resume data emerging on the WWW indicates individual-related characteristics in terms of profile and career experiences. Resume Analysis (RA) provides opportunities for many applications, such as talent seeking and evaluation. Existing RA studies based on statistical analyzing have primarily focused on talent recruitment by identifying explicit attributes. Read More

We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field-of-view and depth-of-field. After its training, the only input to this network is an image acquired using a regular optical microscope, without any changes to its design. We blindly tested this deep learning approach using various tissue samples that are imaged with low-resolution and wide-field systems, where the network rapidly outputs an image with remarkably better resolution, matching the performance of higher numerical aperture lenses, also significantly surpassing their limited field-of-view and depth-of-field. Read More

We demonstrate optomechanical interference in a multimode system, in which an optical mode couples to two mechanical modes. A phase-dependent excitation-coupling approach is developed, which enables the observation of constructive and destructive optomechanical interferences. The destructive interference prevents the coupling of the mechanical system to the optical mode, suppressing optically-induced mechanical damping. Read More

We describe the moduli space of orthogonal multiplications of type $[3,4,p], p\leq 12,$ and its application to the hypersurface theory. Read More

We study unbounded invariant and covariant derivations on the quantum disk. In particular we answer the question whether such derivations come from operators with compact parametrices and thus can be used to define spectral triples. Read More

The crowd panic and its contagion play non-negligible roles at the time of the stock crash, especially for China where inexperienced investors dominate the market. However, existing models rarely consider investors in networking stocks and accordingly miss the exact knowledge of how panic contagion leads to abrupt crash. In this paper, by networking stocks of sharing common mutual funds, a new methodology of investigating the the market crash from the perspective of investor behavior is presented. Read More

The fast detection of terahertz radiation is of great importance for various applications such as fast imaging, high speed communications, and spectroscopy. Most commercial products capable of sensitively responding the terahertz radiation are thermal detectors, i.e. Read More

This work shows how to efficiently construct binary de Bruijn sequences, even those with large orders, using the cycle joining method. The cycles are generated by an LFSR with a chosen period $e$ whose irreducible characteristic polynomial can be derived from any primitive polynomial of degree $n$ satisfying $e = \frac{2^n-1}{t}$ by $t$-decimation. The crux is our proof that determining Zech's logarithms is equivalent to identifying conjugate pairs shared by any pair of cycles. Read More


We report on WIMP search results in the XENON100 detector using a non-relativistic effective field theory approach. The data from science run II (34 kg $\times$ 224.6 live days) was re-analyzed, with an increased recoil energy interval compared to previous analyses, ranging from $(6. Read More

Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Images can be generated at the pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a potential application in digital entertainment. Read More

Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as the first sub-task in the argumentation mining pipeline. Existing ACBD methods heavily depend on task-specific knowledge, and require considerable human efforts on feature-engineering. To tackle these problems, in this work, we formulate ACBD as a sequence labeling problem and propose a variety of Recurrent Neural Network (RNN) based methods, which do not use domain specific or handcrafted features beyond the relative position of the sentence in the document. Read More

Argumentation mining aims at automatically extracting the premises-claim discourse structures in natural language texts. There is a great demand for argumentation corpora for customer reviews. However, due to the controversial nature of the argumentation annotation task, there exist very few large-scale argumentation corpora for customer reviews. Read More

Self-supported electrocatalysts being generated and employed directly as electrode for energy conversion has been intensively pursued in the fields of materials chemistry and energy. Herein, we report a synthetic strategy to prepare freestanding hierarchically structured, nitrogen-doped nanoporous graphitic carbon membranes functionalized with Janus-type Co/CoP nanocrystals (termed as HNDCM-Co/CoP), which were successfully applied as a highly-efficient, binder-free electrode in hydrogen evolution reaction (HER). Benefited from multiple structural merits, such as high degree of graphitization, three-dimensionally interconnected micro-/meso-/macropores, uniform nitrogen-doping, well-dispersed Co/CoP nanocrystals as well as the confinement effect of the thin carbon layer on the nanocrystals, HNDCM-Co/CoP exhibited superior electrocatalytic activity and long-term operation stability for HER under both acid and alkaline conditions. Read More


We present the first constraints on the spin-dependent, inelastic scattering cross section of Weakly Interacting Massive Particles (WIMPs) on nucleons from XENON100 data with an exposure of 7.64$\times$10$^3$\,kg\,day. XENON100 is a dual-phase xenon time projection chamber with 62\,kg of active mass, operated at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy and designed to search for nuclear recoils from WIMP-nucleus interactions. Read More

We report a computational study of the anharmonicity of the vibrational modes of various individual fullerenes using the "moments method" [Y. Gao and M. Daw, Modelling Simul. Read More

We simulate boron on Pb(110) surface by using ab initio evolutionary methodology. Interestingly, the two-dimensional (2D) Dirac Pmmn boron can be formed because of good lattice matching. Unexpectedly, by increasing the thickness of 2D boron, a three-bonded graphene-like structure (P2_1/c boron) was revealed to possess double anisotropic Dirac cones. Read More

Advances in quantum information processing using superconducting circuits have stimulated strong interest in developing interfaces between microwave and optical fields. While microwave fields can enable on-chip or local communications between superconducting qubits, optical fields remain the ideal choice for off-chip or long distance communications. Interfaces between microwave and optical fields via their coupling to a spin ensemble have been proposed. Read More

Authors: Derek Ward-Thompson, Kate Pattle, Pierre Bastien, Ray S. Furuya, Woojin Kwon, Shih-Ping Lai, Keping Qiu, David Berry, Minho Choi, Simon Coudé, James Di Francesco, Thiem Hoang, Erica Franzmann, Per Friberg, Sarah F. Graves, Jane S. Greaves, Martin Houde, Doug Johnstone, Jason M. Kirk, Patrick M. Koch, Jungmi Kwon, Chang Won Lee, Di Li, Brenda C. Matthews, Joseph C. Mottram, Harriet Parsons, Andy Pon, Ramprasad Rao, Mark Rawlings, Hiroko Shinnaga, Sarah Sadavoy, Sven van Loo, Yusuke Aso, Do-Young Byun, Eswariah Chakali, Huei-Ru Chen, Mike C. -Y. Chen, Wen Ping Chen, Tao-Chung Ching, Jungyeon Cho, Antonio Chrysostomou, Eun Jung Chung, Yasuo Doi, Emily Drabek-Maunder, Stewart P. S. Eyres, Jason Fiege, Rachel K. Friesen, Gary Fuller, Tim Gledhill, Matt J. Griffin, Qilao Gu, Tetsuo Hasegawa, Jennifer Hatchell, Saeko S. Hayashi, Wayne Holland, Tsuyoshi Inoue, Shu-ichiro Inutsuka, Kazunari Iwasaki, Il-Gyo Jeong, Ji-hyun Kang, Miju Kang, Sung-ju Kang, Koji S. Kawabata, Francisca Kemper, Gwanjeong Kim, Jongsoo Kim, Kee-Tae Kim, Kyoung Hee Kim, Mi-Ryang Kim, Shinyoung Kim, Kevin M. Lacaille, Jeong-Eun Lee, Sang-Sung Lee, Dalei Li, Hua-bai Li, Hong-Li Liu, Junhao Liu, Sheng-Yuan Liu, Tie Liu, A-Ran Lyo, Steve Mairs, Masafumi Matsumura, Gerald H. Moriarty-Schieven, Fumitaka Nakamura, Hiroyuki Nakanishi, Nagayoshi Ohashi, Takashi Onaka, Nicolas Peretto, Tae-Soo Pyo, Lei Qian, Brendan Retter, John Richer, Andrew Rigby, Jean-François Robitaille, Giorgio Savini, Anna M. M. Scaife, Archana Soam, Motohide Tamura, Ya-Wen Tang, Kohji Tomisaka, Hongchi Wang, Jia-Wei Wang, Anthony P. Whitworth, Hsi-Wei Yen, Hyunju Yoo, Jinghua Yuan, Chuan-Peng Zhang, Guoyin Zhang, Jianjun Zhou, Lei Zhu, Philippe André, C. Darren Dowell, Sam Falle, Yusuke Tsukamoto

We present the first results from the B-fields In STar-forming Region Observations (BISTRO) survey, using the Sub-millimetre Common-User Bolometer Array 2 (SCUBA-2) camera, with its associated polarimeter (POL-2), on the James Clerk Maxwell Telescope (JCMT) in Hawaii. We discuss the survey's aims and objectives. We describe the rationale behind the survey, and the questions which the survey will aim to answer. Read More

P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications. However, due to lack of specialized laws, delegated monitoring and effective managements, P2P platforms may spawn potential risks, such as withdraw failures, investigation involvements and even runaway bosses, which cause great losses to lenders and are especially serious and notorious in China. Although there are abundant public information and data available on the Internet related to P2P platforms, challenges of multi-sourcing and heterogeneity matter. Read More

We give a semiclassical analysis of the average photon number as well as photon number variance (Fano factor $F$) for a Josephson-junction (JJ) embedded microwave cavity system, where the JJ is subject to a fluctuating (i.e. noisy) bias voltage with finite dc average. Read More

In this paper, we consider a coverage problem for uncertain points in a tree. Let T be a tree containing a set P of n (weighted) demand points, and the location of each demand point P_i\in P is uncertain but is known to appear in one of m_i points on T each associated with a probability. Given a covering range \lambda, the problem is to find a minimum number of points (called centers) on T to build facilities for serving (or covering) these demand points in the sense that for each uncertain point P_i\in P, the expected distance from P_i to at least one center is no more than $\lambda$. Read More

This paper presents a new formal method for verification of quantum communication protocols. By extending the symbolic system of Petri nets, we can define quantum pure states in Petri-net settings. Therefore, it is possible to emerge a framework from formalizing basic quantum phenomena, which are utilized to achieve communication tasks. Read More

In this paper, we consider the problems for covering multiple intervals on a line. Given a set B of m line segments (called "barriers") on a horizontal line L and another set S of n horizontal line segments of the same length in the plane, we want to move all segments of S to L so that their union covers all barriers and the maximum movement of all segments of S is minimized. Previously, an O(n^3 log n)-time algorithm was given for the problem but only for the special case m = 1. Read More

Let $G=(V, E)$ be a graph. A set $S\subseteq V(G)$ is a {\it dominating set} of $G$ if every vertex in $V\setminus S$ is adjacent to a vertex of $S$. The {\it domination number} of $G$, denoted by $\gamma(G)$, is the cardinality of a minimum dominating set of $G$. Read More


We present the first search for dark matter-induced delayed coincidence signals in a dual-phase xenon time projection chamber, using the 224.6\,live days of the XENON100 science run~II. This very distinct signature is predicted in the framework of magnetic inelastic dark matter which has been proposed to reconcile the modulation signal reported by the DAMA/LIBRA collaboration with the null results from other direct detection experiments. Read More

We obtain improved Fourier restriction estimate for the truncated cone using the method of polynomial partitioning in dimension $n\geq 3$, which in particular solves the cone restriction conjecture for $n=5$, and recovers the sharp range for $3\leq n\leq 4$. The main ingredient of the proof is a $k$-broad estimate for the cone extension operator, which is a weak version of the $k$-linear cone restriction estimate for $2\leq k\leq n$. Read More