May 2022 arXiv papers — page 159

Meisin Lee, Lay-Ki Soon, Eu-Gene Siew

One of the challenges in event extraction via traditional supervised learning paradigm is the need for a sizeable annotated dataset to achieve satisfactory model performance. It is even more challenging when it comes to event extraction in the finance and economics domain, a domain with considerably fewer resources. This paper presents a complete framework f

Ziaur Rahman, Xun Yi, Sk. Tanzir Mehedi, Rafiqul Islam

Blockchain has recently been able to draw wider attention throughout the research community. Since its emergence, the world has seen the mind-blowing expansion of this new technology, which was initially developed as a pawn of digital currency more than a decade back. A self-administering ledger that ensures extensive data immutability over the peer-to-peer

Jae-Myoung Kim

In this paper, we investigate the three dimensional stationary compressible Navier-Stokes equations, and obtain Liouville type theorems if a smooth solution $(ρ, \mathbf{u})$ satisfies some suitable conditions. In particular, our results improve and generalize the corresponding result.

Yenal Yalcinkaya, Ilka M. Hermes, Tobias Seewald, Katrin Amann-Winkel

This study introduces a new chemical method for controlling the strain in methylammonium lead iodide (MAPbI3) perovskite crystals by varying the ratio of Pb(Ac)2 and PbCl2 in the precursor solution. To observe the effect on crystal strain, a combination of piezoresponse force microscopy (PFM) and X-ray diffraction (XRD) is used. The PFM images show an increa

Philip T. Metzger, Greg W. Autry

This study estimates the cost of building lunar landing pads and examines whether any construction methods are economically superior to others. Some proposed methods require large amounts of mass transported from the Earth, others require high energy consumption on the lunar surface, and others have a long construction time. Each of these factors contributes

Haoming Guo, Tianyi Huang, Huixuan Huang, Mingyue Fan

The sharing of fake news and conspiracy theories on social media has wide-spread negative effects. By designing and applying different machine learning models, researchers have made progress in detecting fake news from text. However, existing research places a heavy emphasis on general, common-sense fake news, while in reality fake news often involves rapidl

Tulasi N. Parashar, William H. Matthaeus

The solar wind, a continuous flow of plasma from the sun, not only shapes the near Earth space environment but also serves as a natural laboratory to study plasma turbulence in conditions that are not achievable in the lab. Starting with the Mariners, for more than five decades, multiple space missions have enabled in-depth studies of solar wind turbulence.

Zuohai Jiang, Lingling Kong, Shicheng Xu

We extend Cheeger-Gromov's and Anderson's convergence theorems to regular limit spaces of manifolds with bounded Ricci curvature and local covering geometry, by establishing the $C^{1,α}$-regularities that are the best one may expect on those Ricci-limit spaces. As an application we prove an optimal generalization of Fukaya's fibration theorem on

Paul Griffioen, Bruce H. Krogh, Bruno Sinopoli

This article provides a tool for analyzing mechanisms that aim to achieve resilience against stealthy, or undetectable, attacks on cyber-physical systems (CPSs). We consider attackers who are able to corrupt all of the inputs and outputs of the system. To counter such attackers, a response scheme must be implemented that keeps the attacker from corrupting th

Shokoufeh Naderi, Maude J. Blondin, Behrooz Rezaie

This paper investigates the controller optimization for a helicopter system with three degrees of freedom (3-DOF). To control the system, we combined fuzzy logic with adaptive control theory. The system is extensively nonlinear and highly sensitive to the controller's parameters, making it a real challenge to study these parameters' effect on the con

Ioanna A. Gorbunova, Marina K. Danilova, Maxim E. Sasin, Victor P. Belik

Combined studies on fluorescence quantum yield in coenzymes NADH and FAD in water-methanol, water-ethanol and water-propylene glycol mixtures and on time-resolved fluorescence of the same molecules under excitation at 450 and 355~nm by means of the TCSPC method have been carried out. The dependence of quantum yield in NADH on alcohol concentration was found