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Liquid Crystals XXV 2021

作者： Thapa, Kamal Iadlovska, Olena S. Bisoyi, Hari Krishna Paterson, Daniel A. Storey, John M.D. Imrie, Corrie T. Li, Quan Shiyanovskii, Sergij V. Lavrentovich, Oleg D. Advanced Materials and Liquid Crystal Institute Kent State University KentOH44242 United States Dept. of Physics Kent State University KentOH44242 United States Department of Chemistry School of Natural and Computing Sciences University of Aberdeen AB24 3UE United Kingdom Materials Science Graduate Program Kent State University KentOH44242 United States

ISBN: (数字)9781510644533

ISBN: (纸本)9781510644526

An oblique helicoidal cholesteric ChOH represents a unique optical material with a pitch that can be tuned by an electric or magnetic field in a broad range from sub micrometers to micrometers. In this work, we demonstrate that the oblique helicoidal cholesteric doped with azoxybenzene molecules and stabilized by an electric field could also be tuned by light irradiation. At a fixed voltage, UV irradiation causes a redshift of the reflection peak by more than 200 nm. The demonstrated effect has the potential for applications such as smart windows, sensors, tunable lasers, and filters. © 2021 SPIE.

关键词： Electric fields

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Scaling Limitations of Line TFETs at Sub-8-nm Technology Node

Scaling Limitations of Line TFETs at Sub-8-nm Technology Nod...

引用

2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020

作者： Thoti, Narasimhulu Li, Yiming Kola, Sekhar Reddy Parallel and Scientific Computing Laboratory Eecs International Graduate Program Institute of Communications Engineering Department of Electrical and Computer Engineering Center for MmWave Smart Radar System and Technologies National Chiao Tung University 1001 Ta-Hsueh Rd Hsinchu300 Taiwan

ISBN: (纸本)9781728142326

The scope of the work is to investigate limitations in device scaling by identifying various parameters of short channel effects (SCEs) in current challenging geometries of the line tunnel field effect transistors (TFETs). Key factors of the considered device, such as the doping and the thickness (tn) of n-epitaxial region, and source-to-drain length (LSDeff) scaling cannot be tuned anymore to boost the device characteristics for the sub-8-nm technology node. The main results of this study indicates that the engineering acceptable performance are achieved at a low doping of 5 1018 cm-3, an optimal tn as low (about 0.5 nm), and a LSDeff greater than 12.5 nm. Hence, the line TFETs below sub-8-nm faces serious bottleneck of scaling and cannot be further scaled with the conventional scaling rule at all. © 2020 IEEE.

关键词： Tunnel field effect transistors

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Convergence of Mass Transfer Particle Tracking Schemes for the Simulation of Advection-Diffusion-Reaction Equations

SSRN

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SSRN 2024年

作者： Pankavich, Stephen D. Schauer, Lucas Schmidt, Michael J. Engdahl, Nicholas B. Bolster, Diogo Benson, David A. Department of Applied Mathematics and Statistics Colorado School of Mines GoldenCO80401 United States Center for Computing Research Sandia National Laboratories AlbuquerqueNM87185 United States Department of Civil and Environmental Engineering Washington State University PullmanWA99164 United States Department of Civil and Environmental Engineering and Earth Sciences University of Notre Dame Notre DameIN46556 United States Hydrologic Science and Engineering Program Department of Geology and Geological Engineering Colorado School of Mines GoldenCO80401 United States

Since their introduction, multi-species mass-transfer particle tracking (or MTPT) algorithms have been used to accurately simulate advective and dispersive transport of solutes, even within systems that feature nonlinear chemical reactions. The MTPT methods were originally derived from a probabilistic or first-principles perspective and have previously lacked a more rigorous derivation arising directly from the underlying advection-diffusion-reaction equation (ADRE). Herein, we provide a fully rigorous derivation of the MTPT method as a Lagrangian approximation of solutions to the ADRE, complete with a description of the error and order of accuracy generated by this approximation. Numerical simulations further detail the fidelity of MTPT methods and display parameter regimes wherein the numerical error is independent of the chosen time step, and thereby dependent only upon the numerical discretization of the spatial domain via the number of particles within a simulation. Finally, different normalizations of the local Green's function are shown to generate similar approximations of the underlying solution for stationary particles. © 2024, The Authors. All rights reserved.

关键词： Lagrange multipliers

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Toward compact data from big data

arXiv

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arXiv 2020年

作者： Kim, Song-Kyoo Computing Program School of Applied Sciences Macao Polytechnic Institute R. de Luis Gonzaga Gomes China

Bigdata is a dataset of which size is beyond the ability of handling a valuable raw material that can be refined and distilled into valuable specific insights. Compact data is a method that optimizes the big dataset that gives best assets without handling complex bigdata. The compact dataset contains the maximum knowledge patterns at fine grained level for effective and personalized utilization of bigdata systems without bigdata. The compact data method is a tailor-made design which depends on problem situations. Various compact data techniques have been demonstrated into various data-driven research area in the paper. © 2020, CC BY-NC-ND.

关键词： Big data

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AR mobile application in learning Hajj for children in Malaysia

International Journal of Interactive Mobile Technologies

引用

International Journal of Interactive Mobile Technologies 2020年第16期14卷 35-51页

作者： Madi, Nor Aida Md Albakry, Nur Safinas Ibrahim, Norshahila Application Multimedia program at Faculty of Art Computing and Creative Industry Universiti Pendidikan Sultan Idris Tanjung Malim Perak Malaysia Computing and Creative Industry Department of Creative Multimedia Universiti Pendidikan Sultan Idris Tanjung Malim Perak Malaysia

Education is experiencing rapid revolution from the chalk to the computer. Since then, education and technology are moving forward with advanced technology. Furthermore, with the positive impact derived from previous research, Augmented Reality (AR) started to play a role in education either in learning or teaching. Thus, the aim of this paper is to explore the elements will be implemented in the development of Hajj AR mobile application for learning Hajj among the children in Malaysia. In the preliminary study, a survey using an open-ended and closed-ended questionnaire was conducted among experienced teachers. The findings from the survey revealed that the elements of AR could beimplemented in the Hajj AR mobile application as an interactive learning tool. Thus, a Hajj AR mobile application will be developed by implementing the findings obtained in the preliminary study to evaluate the user-experience among the children who are using the AR mobile application when learning Hajj. In conclusion, this mobile application could attract and provide creative information to children in learning about Hajj through AR. © 2020 by the authors.

关键词： Augmented reality

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Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection

arXiv

引用

arXiv 2024年

作者： Sie, Ming-Fong Chang, Yen-Jui Lin, Chien-Lung Chang, Ching-Ray Liao, Shih-Wei Department of Computer Science and Information Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei City10617 Taiwan Master Program in Intelligent Computing and Big Data Chung Yuan Christian University No. 499 Xingzhong N. Rd. Taoyuan City320317 Taiwan Department of Physics National Taiwan University Taiwan Quantum Information Center Chung Yuan Christian University No. 499 Xingzhong N. Rd. Taoyuan City320317 Taiwan

Over 900 million Bitcoin transactions have been recorded, posing considerable challenges for machine learning regarding computation time and maintaining prediction accuracy. We propose an innovative approach using quantum-inspired algorithms implemented with Simulated Annealing and Quantum Annealing to address the challenge of local minima in solution spaces. This method efficiently identifies key features linked to mixer addresses, significantly reducing model training time. By categorizing Bitcoin addresses into six classes—exchanges, faucets, gambling, marketplaces, mixers, and mining pools—and applying supervised learning methods, our results demonstrate that feature selection with SA reduced training time by 30.3% compared to using all features in a random forest model while maintaining a 91% F1-score for mixer addresses. This highlights the potential of quantum-inspired algorithms to swiftly and accurately identify high-risk Bitcoin addresses based on transaction features. © 2024, CC BY.

关键词： Simulated annealing

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Accurate and inaccurate beliefs about cancer risk factors among Spanish-preferring adults in the United States

引用

PEC Innovation 2024年 5卷 100333-100333页

作者： King, Andy J. Lyons, Benjamin A. Rivera, Yonaira M. Kogan, Marina Hernandez, Leandra H. Liao, Yi Kaphingst, Kimberly A. Department of Communication University of Utah Salt Lake City UT United States Cancer Control & Population Sciences Huntsman Cancer Institute Salt Lake City UT United States Department of Communication Rutgers University New Brunswick NJ United States Cancer Prevention & Control Program Rutgers Cancer Institute of New Jersey New Brunswick NJ United States Kahlert School of Computing University of Utah Salt Lake City UT United States

Objective: To characterize inaccurate and accurate beliefs about cancer risk factors held among Spanish-preferring adults in the United States. Methods: From a national probability panel, we surveyed 196 Hispanic adults who prefer completing questionnaires in Spanish. We also used data from a representative sample of 1200 adults in the US to compare belief acceptance. Results: Many less accepted accurate beliefs about cancer risk factors related to topics like fruit/vegetable consumption, weight loss, and alcohol use. Several inaccurate beliefs were widely held, with some being more accepted in the Spanish-preferring sample than the general US adult sample. Higher levels of self-reported media literacy and information scanning associated with more acceptance of both accurate and inaccurate beliefs. Access to the internet at home associated with discernment between accurate and inaccurate beliefs about cancer risk factors. Conclusion: Acceptance of accurate beliefs and rejection of inaccurate beliefs varied across potential cancer risk factors. Future Spanish-language public health messaging should address these belief inconsistencies when providing up-to-date cancer-related recommendations or correcting inaccurate information in the public communication environment. Innovation: Our study provides comprehensive information about cancer beliefs among Spanish-preferring adults in the United States, which was not previously available, and find that media literacy is a concept likely to be important to consider when putting together intervention tools to combat misinformation. © 2024 The Authors

关键词： Cancer knowledge Cancer misperceptions Cancer risk Health misinformation Spanish

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Currents Trends in Use of Collaborative Learning in Teaching of Robotics and programming – A Systematic Review of Literature

Currents Trends in Use of Collaborative Learning in Teaching...

引用

Frontiers in Education (FIE) Conference

作者： Joethe Moraes de Carvalho José Francisco de Magalhães Netto Post-Graduate Program in Informatics (PPGI) Institute of Computing (ICOMP) Federal University of Amazonas (UFAM) CMA-Federal Institute of Amazonas (IFAM) Manaus AM Brazil Post-Graduate Program in Informatics (PPGI) Institute of Computing (ICOMP) Federal University of Amazonas (UFAM) Manaus AM Brazil

ISBN: (数字)9781728189611

ISBN: (纸本)9781728189628

This Research Full paper presents a Systematic Mapping Study of actions that are being carried out in the academic environment, aiming at teaching robotics and programming through collaborative procedures at a distance. Recent studies point to an increasing utilization of collaborative activities in teaching-learning process of robotics and programming, favoring the STEM fields, with encouraging results regarding the improvement of student's skills and better use of educational institutions infrastructure. Our goal is to collect information about state of the art on collaborative learning, employed through Groupware. To carry out this investigation, goals were defined by the Systematic Mapping Process, with the purpose of providing a better process understanding. The Research Questions were stipulated to be answered after the results analysis and the Search Strings, which allowed to select publications that satisfy the objective of this research articles in main digital repositories, all carried out in the last 5 years. After applying filters, 22 articles were considered more relevant according to the research objective. The results show the activities, modalities, methodologies, accomplished pedagogical concepts and the conclusions obtained. This work aims to assist researchers who seek information on referred topic.

关键词： Libraries Collaboration Robots programming profession Collaborative work Collaborative software Systematics

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Manifold Filter-Combine Networks

arXiv

引用

arXiv 2023年

作者： Johnson, David R. Chew, Joyce A. Viswanath, Siddharth De Brouwer, Edward Needell, Deanna Krishnaswamy, Smita Perlmutter, Michael Program in Computing Boise State University BoiseID83725 United States Department of Mathematics UCLA Los AngelesCA90095 United States Department of Computer Science Yale University New HavenCT06511 United States Genentech San FranciscoCA94080 United States Department of Genetics Yale University New HavenCT06511 United States Department of Mathematics Boise State University BoiseID83725 United States

In order to better understand manifold neural networks (MNNs), we introduce Manifold Filter-Combine Networks (MFCNs). Our filter-combine framework parallels the popular aggregate-combine paradigm for graph neural networks (GNNs) and naturally suggests many interesting families of MNNs which can be interpreted as manifold analogues of various popular GNNs. We propose a method for implementing MFCNs on high-dimensional point clouds that relies on approximating an underlying manifold by a sparse graph. We then prove that our method is consistent in the sense that it converges to a continuum limit as the number of data points tends to infinity, and we numerically demonstrate its effectiveness on real-world and synthetic data sets. Copyright © 2023, The Authors. All rights reserved.

关键词： Wiener filtering

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RPOIA: A Method of Selecting Learning Objects Using Petri Nets

RPOIA: A Method of Selecting Learning Objects Using Petri Ne...

引用

Frontiers in Education (FIE) Conference

作者： Joethe Moraes de Carvalho Josias Gomes Lima José Francisco de Magalhães Netto Ruiter Braga Caldas Post-Graduate Program in Informatics (PPGI) Institute of Computing (ICOMP) Federal University of Amazonas (UFAM) Manaus AM Brazil Institute of Computing (ICOMP) Federal University of Amazonas (UFAM) Manaus AM Brazil

ISBN: (数字)9781728189611

ISBN: (纸本)9781728189628

This Research Full Paper presents a method to select Learning Objects based on students' cognitive profiles, aiming to facilitate the explained content understanding and programming skills improve. STEM approach has favored the programming skills development in Computer Science courses. Due to initial concepts complexity, many students find it difficult to understand this discipline, causing demotivation or course abandonment. We propose a method using Petri Nets formalism to select a Learning Object that addresses the subject being studied. Petri Nets are formal description techniques used to specify competing systems through graphical and mathematical modeling. Intelligent Agents are computer programs created to automate and perform a certain task or direct interaction with student and propose solutions considered appropriate, based on based on knowledge obtained during the interactions. This research uses the Petri Net to create an Intelligent Agent model, which chooses the Learning Object from answers obtained by applying VAK, an educational questionnaire and results obtained shown to be promising and method was well evaluated by students.

关键词： Petri nets programming programming profession Education Games Intelligent agents Visualization

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