Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities

Realizing the benefits of drones while minimizing public concerns requires development and implementation of drone use policies that are grounded in an understanding of drone users and their behavior. This study aims to contribute to data-driven smart cities by filling our gap in knowledge about city drone users and their compliance behavior. The literature review has identified the main factors affecting drone policy compliance. This study collects data via a national survey of adults on drone behavior and focuses on city drone users. The results show that city drone users are younger with more dispersed educational backgrounds and income distribution than those in the general population. Moreover, civic duty, trust in government, and knowledge about regulatory requirements are motivators for drone users to comply with drone regulation

How To Persuade Non-Mobile Shoppers Into Mobile Shoppers: A Trust Enhancing Perspective

Mobile shopping is getting popular and pervasive. However, the number of mobile users is not parallel to the number of mobile shoppers, because consumers frequently concern about security while conducting mobile transactions. The current study aims to elaborate in what trust enhancing message designs can be used to persuade non-mobile shoppers into mobile shoppers. Drawing on social judgment theory and the model of persuasion, our study has the potential revealing that consumers’ negative attitudes toward ubiquitously using credit cards over the air can be improved by persuasive messages if they are added into the checkout page of a shopping website

Regulatory compliance and socio-demographic analyses of civil Unmanned Aircraft Systems users

To safely integrate the emerging Unmanned Aircraft Systems (UAS) technology into the national airspace system and a variety of application fields, the Federal Aviation Administration (FAA) is in charge of publishing rules to regulate and oversee UAS activities in the U.S. However, incompliance with rules undermines the effectiveness of such regulations. This study focuses on investigating the status of UAS regulatory compliance in the U.S. from the perspectives of UAS ownership registration and maximum flight altitude limitation, analyzing the socio-demographic factors of UAS users and their relationship with regulatory compliance. A U.S. national representative survey was performed for data collection. Descriptive statistics illustrate the overall status of UAS regulatory compliance and the demographic characteristics of the adult UAS users. Canonical correlation analysis was adopted to explore the pattern between variables of regulatory compliance and socio-demographic factors. Logistic regression was used to identify influencing socio-demographic factors for compliance behavior of UAS users on two specific rules. Results present 1) the demographic features of the adult UAS users in the U.S., 2) the overall status of UAS regulatory compliance in terms of ownership registration and maximum flight altitude limitation, and 3) the relationship between UAS regulatory compliance and influencing socio-demographic factors. Findings of this study provide aviation regulation authorities and UAS law enforcement important insights into UAS regulatory compliance to further develop more effective policies and strategies to safely and sustainably regulate UAS activities

Persistent currents in a graphene ring with armchair edges

A graphene nano-ribbon with armchair edges is known to have no edge state. However, if the nano-ribbon is in the quantum spin Hall (QSH) state, then there must be helical edge states. By folding a graphene ribbon to a ring and threading it by a magnetic flux, we study the persistent charge and spin currents in the tight-binding limit. It is found that, for a broad ribbon, the edge spin current approaches a finite value independent of the radius of the ring. For a narrow ribbon, inter-edge coupling between the edge states could open the Dirac gap and reduce the overall persistent currents. Furthermore, by enhancing the Rashba coupling, we find that the persistent spin current gradually reduces to zero at a critical value, beyond which the graphene is no longer a QSH insulator

Quantum mechanical Gaussian wavepackets of single relativistic particles

We study the evolutions of selected quasi-(1+1) dimensional wavepacket solutions to the Klein-Gordon equation for a relativistic charged particle in uniform motion or accelerated by a uniform electric field in Minkowski space. We explore how good the charge density of a Klein-Gordon wavepacket can be approximated by a Gaussian state with the single-particle interpretation. We find that the minimal initial width of a wavepacket for a good Gaussian approximation in position space is about the Compton wavelength of the particle divided by its Lorentz factor at the initial moment. Relativistic length contraction also manifests in the spreading of the wavepacket's charge density.Comment: 15 pages, 8 figure

Metalloporphyrin-incorporated diphosphine ligands for metal ion-binding

Poster: no. P48Diphosphine ligands have been widely used in organometallic chemistry and catalysis.1 By incorporation of functional units such as metallomacrocycles, the resulting functionalized diphosphines could exhibit unusual properties or binding behavior. In this study, we prepared several examples of ruthenium porphyrin phosphine complexes [RuII(Por)(dppm)2] (1; Por = TTP, 4-MeO-TPP, F20-TPP; dppm = bis(diphenylphosphino)methane) by a similar method to that previously reported for their congeners.2 Reaction of complexes 1 with a number of metal …published_or_final_versio

Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation

The process of transforming input images into corresponding textual explanations stands as a crucial and complex endeavor within the domains of computer vision and natural language processing. In this paper, we propose an innovative ensemble approach that harnesses the capabilities of Contrastive Language-Image Pretraining models

DG.O 2021: Digital Innovations for Public Values: Inclusive Collaboration and Community

This panel highlights digital government practices that exemplify the dg.o 2021 conference theme: Digital Innovations for Public Values: Inclusive Collaboration and Community. Public values serve as the guiding principles for the development and implementation of digital innovations for public service. Inclusivity is a salient public value to bridge the digital divide in the development, access, and use of information and communication technology. Cases presented in this panel illustrate civic engagement via digital technologies for inclusive collaboration; collaboration between government and residents as well as government, university, and community organizations; and utilization of digital technology to strengthen community at local and national levels. These cases feature projects of the Digital Governance and Analytics Lab at the University of Nebraska at Omaha, the hosting university of dg.o 2021 as well as similar projects done by research collaborators at Florida International University and University of Massachusetts Boston

catena-Poly[[bis­(pyridine-κN)nickel(II)]-μ-oxalato-κ4 O 1,O 2:O 1′,O 2′]

The title compound, [Ni(C2O4)(C5H5N)2]n, was synthesized under hydro­(solvo)thermal conditions. The NiII atom, lying on a twofold rotation axis, has an octa­hedral coordination geometry involving two N atoms from two pyridine ligands and four O atoms from two oxalate ligands. The Ni atoms are connected by the tetra­dentate bridging oxalate ligands into a one-dimensional zigzag chain