Learning Chinese Writing: An App Design Concept for Multi-touch Devices

An app design concept to learn Chinese writing for multi-touch mobile & tablet devices Mandarin can be divided into spoken Chinese and written Chinese. Many people who are taking Mandarin courses were first attracted to the Chinese language because of the writing system, which is considered one of the most complex in the world. Chinese writing is considered difficult because of the enormous number of characters one has to learn. Mandarin is difficult in comparison to Spanish, Greek, Russian, Hindi, or any other language that requires at most a few dozen symbols to write in the language. This Chinese writing learning application concept introduces a new way of learning traditional Chinese by visualizing the structure and the meaning of each character and using an associative mnemonic approach to help people learn Chinese characters. Overall, the Chinese learning application is a professional and easy-to-use application for non-Chinese readers to obtain a deeper understanding of Mandarin

Modeling and Analysis of an Air-Breathing Flexible Hypersonic Vehicle

By using light-weighted material in hypersonic vehicle, the vehicle body can be easily deformed. The mutual couplings in aerodynamics, flexible structure, and propulsion system will bring great challenges for vehicle modeling. In this work, engineering estimated method is used to calculate the aerodynamic forces, moments, and flexible modes to get the physics-based model of an air-breathing flexible hypersonic vehicle. The model, which contains flexible effects and viscous effects, can capture the physical characteristics of high-speed flight. To overcome the analytical intractability of the model, a simplified control-oriented model of the hypersonic vehicle is presented with curve fitting approximations. The control-oriented model can not only reduce the complexity of the model, but also retain aero-flexible structure-propulsion interactions of the physics-based model and can be applied for nonlinear control

Precision cosmology from future lensed gravitational wave and electromagnetic signals

The standard siren approach of gravitational wave cosmology appeals to the direct luminosity distance estimation through the waveform signals from inspiralling double compact binaries, especially those with electromagnetic counterparts providing redshifts. It is limited by the calibration uncertainties in strain amplitude and relies on the fine details of the waveform. The Einstein Telescope is expected to produce $10^4-10^5$ gravitational wave detections per year, $50-100$ of which will be lensed. Here we report a waveform-independent strategy to achieve precise cosmography by combining the accurately measured time delays from strongly lensed gravitational wave signals with the images and redshifts observed in the electromagnetic domain. We demonstrate that just 10 such systems can provide a Hubble constant uncertainty of $0.68\%$ for a flat Lambda Cold Dark Matter universe in the era of third generation ground-based detectors

Bis(2-amino­benzonitrile)tetra­aqua­cobalt(II) dichloride

In the crystal structure of the title compound, [Co(C7H6N2)2(H2O)4]Cl2, the CoII cation lies on an inversion center and is coordinated by two 2-amino­benzonitrile ligands and four water mol­ecules in a distorted octa­hedral geometry. The Cl− counter-anion links with the complex cations via O—H⋯Cl and N—H⋯Cl hydrogen bonding. Inter­molecular O—H⋯N hydrogen bonding links the complex cations, forming supra­molecular chains running along the b axis

Faithful teleportation with arbitrary pure or mixed resource states

We study faithful teleportation systematically with arbitrary entangled states as resources. The necessary conditions of mixed states to complete perfect teleportation are proved. Based on these results, the necessary and sufficient conditions of faithful teleportation of an unknown state |\phi> in C^d with an entangled resource {\rho} in C^m \otimes C^d and C^d \otimes C^n are derived. It is shown that for {\rho} in C^m\otimesC^d, {\rho} must be a maximally entangled state, while for {\rho} in C^d \otimes C^n, {\rho} must be a puremaximally entangled state. Moreover, we show that the sender's measurements must be all projectors of maximally entangled pure states. The relations between the entanglement of the formation of the resource states and faithful teleportation are also discussed.Comment: 9 page

Methyl 1-bromo-2-naphthoate

In the mol­ecular structure of the title compound, C12H9BrO2, the methoxy­carbonyl group is twisted by a dihedral angle of 29.8 (3)°with respect to the naphthalene ring system. An overlapped arrangement is observed between parallel naphthalene ring systems of adjacent mol­ecules, and the face-to-face distance of 3.590 (9) Å suggests there is π–π stacking in the crystal structure

Entanglement conditions for multi-mode states

We provide a class of inequalities for detecting entanglements in multi-mode systems. Necessary conditions for fully separable, bi-separable and sufficient conditions for fully entangled states are explicitly presented.Comment: 12 page

Differentially Private Data Generation with Missing Data

Despite several works that succeed in generating synthetic data with differential privacy (DP) guarantees, they are inadequate for generating high-quality synthetic data when the input data has missing values. In this work, we formalize the problems of DP synthetic data with missing values and propose three effective adaptive strategies that significantly improve the utility of the synthetic data on four real-world datasets with different types and levels of missing data and privacy requirements. We also identify the relationship between privacy impact for the complete ground truth data and incomplete data for these DP synthetic data generation algorithms. We model the missing mechanisms as a sampling process to obtain tighter upper bounds for the privacy guarantees to the ground truth data. Overall, this study contributes to a better understanding of the challenges and opportunities for using private synthetic data generation algorithms in the presence of missing data.Comment: 18 pages, 9 figures, 2 table