Purchasing Motivations Toward Counterfeit Luxury Goods on E-marketplaces

This research is designed to study consumers’ purchasing attitudes to counterfeit luxury goods on electronic marketplaces (e-marketplaces). And two research hypotheses are proposed in this research. Based on data analysis of 243 samples, this study explores the dimensions of consumer attitudes (morality and law, accessibility, burden-bearing, function effectiveness, economical efficiency) and motivations (conspicuous psychology, rebel psychology, social identity, self-enjoying and cost performance) to luxury counterfeit goods on e-marketplaces. It is found that the major reasons for consumers to choose e-business channels to buy luxury counterfeits are convenience, information acquisition, product and service. In particular, the findings indicate that online consumers’ attitudes toward luxury counterfeit products significantly impact purchasing motivation; online consumers’ attitudes and motivations positively impact purchasing intention

Research on Efficiency of Collaborative Allocation System of Emergency Material Based on Synergetic Theory

AbstractEmergencies increasingly become so comprehensive covering large areas and derivative that a single organization can not meet the requirement of emergency disposition. Therefore, collaborative allocation of emergency material involving multi-organizations becomes one of the key content of emergency management. The collaborative allocation system of emergency material has the characteristics of complex system. Based on synergetic theory of systems engineering and the actual problem of low efficiency of collaborative allocation of emergency material in our country, the key factors influencing efficiency improvement are analyzed in respect of people, organization, material, information, technology and strategy. By adopting and improving QSIM (qualitative simulation method), the inner action mechanism is studied and the conclusion is that the responsibility and authority definition, the coordination ability of decision-makers and information transmission efficiency are the most important factors for the efficiency of collaborative allocation. The measures set forth in this paper are for the reference of relevant decision-makers and we hope it can be helpful for their decision making

Nondeterminstic ultrafast ground state cooling of a mechanical resonator

We present an ultrafast feasible scheme for ground state cooling of a mechanical resonator via repeated random time-interval measurements on an auxiliary flux qubit. We find that the ground state cooling can be achieved with \emph{several} such measurements. The cooling efficiency hardly depends on the time-intervals between any two consecutive measurements. The scheme is also robust against environmental noises.Comment: 4 pages, 3 figure

Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF

Deep neural networks (DNNs) have been proven extremely susceptible to adversarial examples, which raises special safety-critical concerns for DNN-based autonomous driving stacks (i.e., 3D object detection). Although there are extensive works on image-level attacks, most are restricted to 2D pixel spaces, and such attacks are not always physically realistic in our 3D world. Here we present Adv3D, the first exploration of modeling adversarial examples as Neural Radiance Fields (NeRFs). Advances in NeRF provide photorealistic appearances and 3D accurate generation, yielding a more realistic and realizable adversarial example. We train our adversarial NeRF by minimizing the surrounding objects' confidence predicted by 3D detectors on the training set. Then we evaluate Adv3D on the unseen validation set and show that it can cause a large performance reduction when rendering NeRF in any sampled pose. To generate physically realizable adversarial examples, we propose primitive-aware sampling and semantic-guided regularization that enable 3D patch attacks with camouflage adversarial texture. Experimental results demonstrate that the trained adversarial NeRF generalizes well to different poses, scenes, and 3D detectors. Finally, we provide a defense method to our attacks that involves adversarial training through data augmentation. Project page: https://len-li.github.io/adv3d-we

cis-Dichloridobis(1,10-phenanthroline)cobalt(II) dimethyl­formamide solvate

In the title complex, [CoCl2(C12H8N2)2]·C3H7NO, which has twofold rotation symmetry, the CoII cation is coordinated by two 1,10-phenanthroline (phen) mol­ecules and two chloride ligands in a distorted octa­hedral geometry. In the crystal structure, a cavity is created by six complex mol­ecules connected by C—H⋯π inter­actions and non-classical C—H⋯Cl hydrogen bonds. The cavities are occupied by the disordered dimethyl­formamide solvent mol­ecule. The C and N atoms of the C—N bond in the solvent mol­ecule also lie on a crystallographic twofold rotation axis; the remaining atoms of the solvent are statistically disordered (ratio 0.5:0.5) about this axis

“AN ANALYSIS OF PERFORMANCE IN E-COMMERCE INDUSTRY”

We used the SPSS system to perform regression analysis on Delta Air Lines. Through this research, it was found that Delta’s liquidity performance deteriorated year by year, which means its research. Regression analysis shows that Delta airlines liquidity risk is affected by asset return (internal factors) and US internal production growth (external factors). What is the most influential factor in corporate governance