catena-Poly[[[4,6-bis­(2-pyrid­yl)-1,3,5-triazin-2-olato]copper(II)]-μ-chlorido]

The title compound, [Cu(C13H8N5O)Cl]n, has a chain structure parallel to [100] with Cu2+ cations in a trigonal–bipyramidal coordination environment. The ligand adopts a tridentate tripyridyl coordination mode and a chloride ion acts as a bridge. The chains are linked via weak C—H⋯O and C—H⋯Cl hydrogen bonds into a three-dimensional supra­molecular network

Fidelity susceptibility in the two-dimensional transverse field Ising and XXZ models

We study the fidelity susceptibility in the two-dimensional(2D) transverse field Ising model and the 2D XXZ model numerically. It is found that in both models, the fidelity susceptibility as a function of the driving parameter diverges at the critical points. The validity of the fidelity susceptibility to signal for the quantum phase transition is thus verified in these two models. We also compare the scaling behavior of the extremum of the fidelity susceptibility to that of the second derivative of the ground state energy. From those results, the theoretical argument that fidelity susceptibility is a more sensitive seeker for a second order quantum phase transition is also testified in the two models.Comment: 6 pages, 7 figure

Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation

Visually realistic GAN-generated facial images raise obvious concerns on potential misuse. Many effective forensic algorithms have been developed to detect such synthetic images in recent years. It is significant to assess the vulnerability of such forensic detectors against adversarial attacks. In this paper, we propose a new black-box attack method against GAN-generated image detectors. A novel contrastive learning strategy is adopted to train the encoder-decoder network based anti-forensic model under a contrastive loss function. GAN images and their simulated real counterparts are constructed as positive and negative samples, respectively. Leveraging on the trained attack model, imperceptible contrastive perturbation could be applied to input synthetic images for removing GAN fingerprint to some extent. As such, existing GAN-generated image detectors are expected to be deceived. Extensive experimental results verify that the proposed attack effectively reduces the accuracy of three state-of-the-art detectors on six popular GANs. High visual quality of the attacked images is also achieved. The source code will be available at https://github.com/ZXMMD/BAttGAND

[2-Amino-4,6-bis­(2-pyrid­yl)-1,3,5-tri­azine-κ3 N 4,N 5,N 6]dichloridocadmium(II)

In the title compound, [CdCl2(C13H10N6)], the 2-amino-4,6-bis(pyridin-2-yl)-1,3,5-triazine (HABPT) ligand adopts a tridentate tripyridyl coordination mode. The CdII atom is five-coordinated by three N atoms from the HABPT ligand and two chloride ions. In the crystal, mol­ecules are linked via N—H⋯N, N—H⋯Cl and C—H⋯Cl hydrogen bonds into a supra­molecular network

Full Hydrodynamic Modeling of Flash Flooding Due to Heavy Rainfall

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

The impact of international cross-listings on firm value after the Sarbanes–Oxley Act: Evidence from American depositary receipts

The Sarbanes-Oxley Act is formally named the Public Company Accounting Reform and Investor Protection Act of 2002. The act is arguably one of the most significant reforms to affect the U.S. stock markets since the Securities Exchange Act of 1934. This study compares valuation implications of ADR announcements before and after the introduction of the act. A total of 234 ADR announcements are analyzed over a time frame spanning from 1994 to 2010 by employing event study methodology. Even though several studies attempt to explore the effects of the act on the value of firms issuing American Depository Receipts (ADR), reported results are either negative or positive. The empirical results presented in this study indicate that the impact on ADR issuing firms is not negative. The observed cumulative abnormal returns (CARs) reveal that investors on average positively react to ADR issue announcements during the post Sarbanes-Oxley period. However, empirical results do not lend support for the hypothesis that CARs are significantly different during the two periods analyzed in the study.Cao, M. M. (2012). The impact of international cross-listings on firm value after the Sarbanes–Oxley Act: Evidence from American depositary receipts. Retrieved from http://academicarchive.snhu.eduDoctor of Business Administration (D.B.A.)International BusinessSchool of Busines

Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning

In this work, we develop practical user scheduling algorithms for downlink bursty traffic with emphasis on user fairness. In contrast to the conventional scheduling algorithms that either equally divides the transmission time slots among users or maximizing some ratios without physcial meanings, we propose to use the 5%-tile user data rate (5TUDR) as the metric to evaluate user fairness. Since it is difficult to directly optimize 5TUDR, we first cast the problem into the stochastic game framework and subsequently propose a Multi-Agent Reinforcement Learning (MARL)-based algorithm to perform distributed optimization on the resource block group (RBG) allocation. Furthermore, each MARL agent is designed to take information measured by network counters from multiple network layers (e.g. Channel Quality Indicator, Buffer size) as the input states while the RBG allocation as action with a proposed reward function designed to maximize 5TUDR. Extensive simulation is performed to show that the proposed MARL-based scheduler can achieve fair scheduling while maintaining good average network throughput as compared to conventional schedulers.Comment: 30 pages, 13 figure