Digital Commons Network^™

Authorship Productivity And Applicability Of Lotka's Law In Phytochemistry Literature, Radhakrishnan S, Baskaran C

Library Philosophy and Practice (e-journal)

This article aims to present the results of the Scientometric analysis in the Phytochemistry literature. A total of 13215 records from 2014 to 2018 were taken for the analysis.The Data were downloaded from SCOPUS online database. This study mainly concentrates the authorship productivity, applicability of Lotka's law, Price square root law and Pareto's 80/20 rule. The Chi square value is 225.65 which is higher than the table value in the analysis of Lotka's law. The square root of total authors, who have contributed 7.94 % of the total contribution, is found to be 255.52 in Price square Root Law. The …

Analysis Of Scholarly Publications On Bronchitis At Global Perspective: A Metric Study, S.Roselin Jahina, Dr. M.Sadik Batcha

Library Philosophy and Practice (e-journal)

This research paper examines the validity of the use of bibliometric law for research on bronchitis literature worldwide. The various bibliometric laws of the lotka’s law and Zipf's law in their mathematical expressions often present difficulties in adapting the observed values. The result indicates that the author's productivity according to Lotka's law is consistent with research on bronchitis literature worldwide. The law of the price square root is not applicable with the author's productivity information. Zipf’s law was applied to identify publications about the frequency of word occurrence.

Fog Computing Enabling Industrial Internet Of Things: State-Of-The-Art And Research Challenges, Rabeea Basir, Saad Qaisar, Mudassar Ali, Monther Aldwairi, Muhammad Ikram Ashraf, Aamir Mahmood, Mikael Gidlund

All Works

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a …

Predicting Audience Engagement Across Social Media Platforms In The News Domain, Kholoud Khalil Aldous, Jisun An, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We analyze cross-platform factors for posts on both single and multiple social media platforms for numerous news outlets to better predict audience engagement, precisely the number of likes and comments. We collect 676,779 social media posts from 53 news outlets during eight months on four social media platforms (Facebook, Instagram, Twitter, and YouTube), along with the associated comments (more than 31 million) and the number of likes (more than 840 million). We develop a framework for predicting the audience engagement based on both linguistic features of the post and social media platform factors. Among other findings, results show that content …

Vireo-Eurecom @ Trecvid 2019: Ad-Hoc Video Search (Avs), Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Francis Danny, Benoit Huet

Research Collection School Of Computing and Information Systems

In this paper, we describe the systems developed for Ad-hoc Video Search (AVS) task at TRECVID 2019[1] and the achieved results.

Low-Resource Name Tagging Learned With Weakly Labeled Data, Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji

Research Collection School Of Computing and Information Systems

Name tagging in low-resource languages or domains suffers from inadequate training data. Existing work heavily relies on additional information, while leaving those noisy annotations unexplored that extensively exist on the web. In this paper, we propose a novel neural model for name tagging solely based on weakly labeled (WL) data, so that it can be applied in any low-resource settings. To take the best advantage of all WL sentences, we split them into high-quality and noisy portions for two modules, respectively: (1) a classification module focusing on the large portion of noisy data can efficiently and robustly pretrain the tag …

Agile Earth Observation Satellite Scheduling: An Orienteering Problem With Time-Dependent Profits And Travel Times, Guansheng Peng, Reginald Dewil, Cédric Verbeeck, Aldy Gunawan, Lining Xing, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

The scheduling problem of an Agile Earth Observation Satellite is to schedule a subset of weighted observation tasks with each a specific “profit” in order to maximize the total collected profit, under its operational constraints. The “time-dependent transition time” and the “time-dependent profit” are two crucial features of this problem. The former relates to the fact that each pair of consecutive tasks requires a transition time to maneuver the look angle of the camera from the previous task to the next task. The latter follows from the fact that a different look angle of an observation leads to a different …

Ad-Link: An Adaptive Approach For User Identity Linkage, Xin Mu, Wei Xie, Ka Wei, Roy Lee, Feida Zhu, Ee Peng Lim

Research Collection School Of Computing and Information Systems

User identity linkage (UIL) refers to linking accounts of the same user across different online social platforms. The state-of-the-art UIL methods usually perform account matching using user account’s features derived from the profile attributes, content and relationships. They are however static and do not adapt well to fast-changing online social data due to: (a) new content and activities generated by users; as well as (b) new platform functions introduced to users. In particular, the importance of features used in UIL methods may change over time and new important user features may be introduced. In this paper, we proposed AD-Link, a …

Global Research Trend On Cyber Security: A Scientometric Analysis, Somesh Rai, Kunwar Singh Dr, Akhilesh Kumar Varma

Library Philosophy and Practice (e-journal)

Scientometrics is a quantitative analysis of scholarly literature related to a particular subject or area (well defined by some limits, scope and coverage), which helps to understand different aspects about the scholarly literature’s growth in various dimensions of knowledge. Similarly, this study is a quantitative analysis of the Global research trends in cyber security. Some works related to scientometrics of ‘deception, counter-deception in cyberspace’ had been published in 2011, but we have focused on ‘cyber security’ as the topic of research. For analysis we have utilised the published data available in Scopus database, which is directly related to ‘cyber security’. …

Choosing Protection: User Investments In Security Measures For Cyber Risk Management, Yoav Ben Yaakov, Xinrun Wang, Joachim Meyer, Bo An

Research Collection School Of Computing and Information Systems

Firewalls, Intrusion Detection Systems (IDS), and cyber-insurance are widely used to protect against cyber-attacks and their consequences. The optimal investment in each of these security measures depends on the likelihood of threats and the severity of the damage they cause, on the user’s ability to distinguish between malicious and non-malicious content, and on the properties of the different security measures and their costs. We present a model of the optimal investment in the security measures, given that the effectiveness of each measure depends partly on the performance of the others. We also conducted an online experiment in which participants classified …

Utilization Of Bedside Shift Report To Decrease Medication Errors On A Cardiac Progressive Care Unit, Maud Millicent Acquah Nelson

Electronic Theses and Dissertations

Medication errors cause millions of deaths every year in the United States. Miscommunication during the transition of care accounts for the highest number of such errors. The lack of patientinclusion in information exchange among nurses during the change of shift prevents reliable and accurate information exchange and threatens patients’ safety. Inadequate transfer of patient information from one nurse to the other on a hospital unit can cause unfair irreversible harm to the patient and even death. Orlando’s (1961) dynamic nurse-patient relationship theory explained the interdependent relationship between the nurse and the patient in achieving excellent treatment outcomes. This descriptive, inferential …

Default Parallels: The Science Potential Of Jwst Parallel Observations During Tso Primary Observations, Benne W. Holwerda, Jonathan Fraine, Nelly Mouawad, Joanna S. Bridge

Faculty and Staff Scholarship

The James Webb Space Telescope (JWST) will observe several stars for long cumulative durations while pursuing exoplanets as primary science targets for both Guaranteed Time Observations (GTO) and very likely General Observer (GO) programs. Here we argue in favor of an automatic default parallel program to observe, e.g., using the F200W/F277W filters or grism of NIRCAM/NIRISS in order to find high redshift (z (Formula Presented) 10) galaxies, cool red/brown dwarf substellar objects, solar system objects, and observations of serendipitous planetary transits. We argue here the need for automated exploratory astrophysical observations with unused JWST instruments during these long-duration exoplanet observations. …

The Impact Of Biotic Characteristics Of Uae Coastal Area On Movements Of Socotra Cormorant, Nouf Sameer Abdullah Saeed Al Qadi

Theses

Monitoring Socotra Cormorant population and conducting research on their breeding biology and feeding habits are considered the top priorities for ensuring the long-term protection of their breeding colonies and feeding grounds. The research was conducted by using ArcMap Software (10.5) to map Socotra cormorant migratory movements in the Arabian Gulf Region during the 2013-2014 and 2014-2015 breeding seasons.; and to determine environmental variables that affect migratory movements using a GIS approach, which helps to identify areas of conservation value. The study provided needed information on the current distribution of Socotra Cormorant along with the distribution of marine ecosystems (mangroves and …

The Aluthge Transform Of Unilateral Weighted Shifts And The Square Root Problem For Finitely Atomic Measures, Raul E. Curto, Jasang Yoon

School of Mathematical & Statistical Sciences Faculty Publications

In this paper we consider the following Square Root Problem for measures: Given a positive probability Borel measure μ (supported on an interval [a,b]⊆R+), does there exist a positive Borel measure ν such that μ=ν*ν holds? (Here * denotes the multiplicative convolution, properly defined on R+.) This problem is intimately connected to the subnormality of the Aluthge transform of a unilateral weighted shift. We develop a criterion to test whether a measure μ admits a square root, and we provide a concrete solution for the case of a finitely atomic measure having at most five atoms. In addition, we sharpen …

Measurement Of Electron Density And Temperature From Laser-Induced Nitrogen Plasma At Elevated Pressure (1–6 Bar), Ashwin P. Rao, Mark Gragston, Anil K. Patnaik, Paul S. Hsu, Michael B. Shattan

Faculty Publications

Laser-induced plasmas experience Stark broadening and shifts of spectral lines carrying spectral signatures of plasma properties. In this paper, we report time-resolved Stark broadening measurements of a nitrogen triplet emission line at 1–6 bar ambient pressure in a pure nitrogen cell. Electron densities are calculated using the Stark broadening for different pressure conditions, which are shown to linearly increase with pressure. Additionally, using a Boltzmann fit for the triplet, the electron temperature is calculated and shown to decrease with increasing pressure. The rate of plasma cooling is observed to increase with pressure. The reported Stark broadening based plasma diagnostics in …

Energy Cost Of Slow And Normal Gait Speeds In Low And Normally Functioning Adults, Taylor W. Rowley, Chi Cho, Ann M. Swartz, John Staudenmayer, Allison S. Hyngstrom, Kevin G. Keenan, Whitney A. Welch, Scott J. Strath

Physical Therapy Faculty Research and Publications

Objective

Slow walking speed paired with increased energy cost is a strong predictor for mortality and disability in older adults but has yet to be examined in a heterogeneous sample (ie, age, sex, disease status). The aim of this study was to examine energy cost of slow and normal walking speeds among low- and normal-functioning adults.

Design

Adults aged 20–90 yrs were recruited for this study. Participants completed a 10-m functional walk test at a self-selected normal walking speed and were categorized as low functioning or normal functioning based on expected age- and sex-adjusted average gait speed. Participants completed two …

Electroosmotic Flow Of Viscoelastic Fluid In A Nanochannel Connecting Two Reservoirs, Lanju Mei, Shizhi Qian

Mechanical & Aerospace Engineering Faculty Publications

Electroosmotic flow (EOF) of viscoelastic fluid with Linear Phan-Thien–Tanner (LPTT) constitutive model in a nanochannel connecting two reservoirs is numerically studied. For the first time, the influence of viscoelasticity on the EOF and the ionic conductance in the micro-nanofluidic interconnect system, with consideration of the electrical double layers (EDLs), is investigated. Regardless of the bulk salt concentration, significant enhancement of the flow rate is observed for viscoelastic fluid compared to the Newtonian fluid, due to the shear thinning effect. An increase in the ionic conductance of the nanochannel occurs for the viscoelastic fluid. The enhancement of the ionic conductance is …

Can The Us And Europe Contain Russian Power In The European Energy Market? A Game Theoretic Approach, Jesse Richman, Nurullah Ayyilmaz

Political Science & Geography Faculty Publications

The Russian history of politicization of natural gas supplies led Europe to seek alternatives. US LNG is considered to be a viable alternative for Europe, which positioned the US as a strong competitor against Russia. In a game theoretic approach, we model this strategic decision-making process in simultaneous-move and sequential games. Our findings indicate a mixed strategy equilibrium: Europe cannot commit to diversify in the face of Russian advantages, and Russia cannot fully resist the temptation to politicize its supplies to Europe. The US might attempt to intervene in the European commitment problem through implementing sanctions on Russian gas sales. …

Academic Librarians Serving Diverse Populations Of Multilingual Students, Alexandra A. De Luise, Kanu A. Nagra, Bernadette M. López-Fitzsimmons, Michael W. Handis, Jeremy Czerw

Publications and Research

A group of academic librarians working in community and four-year colleges, graduate programs and other settings present strategies and approaches for serving diverse multilingual populations. Multilingual students improve their awareness and understanding of United States academic libraries and higher education when librarians are cognizant of their needs. Encounters can occur at the research desk, in classroom instruction, and during research consultations. Also included are tips on how academic librarians can assist multilingual and international students, including how to improve communication. Based on an ACRL 2019 panel discussion of the same title.

Realtime Object Detection Via Deep Learning-Based Pipelines, James G. Shanahan, Liang Dai

Information Systems and Analytics Department Faculty Conference Proceedings

Ever wonder how the Tesla Autopilot system works (or why it fails)? In this tutorial we will look under the hood of self-driving cars and of other applications of computer vision and review state-of-the-art tech pipelines for object detection such as two-stage approaches (e.g., Faster R-CNN) or single-stage approaches (e.g., YOLO/SSD). This is accomplished via a series of Jupyter Notebooks that use Python, OpenCV, Keras, and Tensorflow. No prior knowledge of computer vision is assumed (although it will be help!). To this end we begin this tutorial with a review of computer vision and traditional approaches to object detection such …

Using Uncertainty To Interpret Supervised Machine Learning Predictions, Michael C. Darling

Electrical and Computer Engineering ETDs

Traditionally, machine learning models are assessed using methods that estimate an average performance against samples drawn from a particular distribution. Examples include the use of cross-validation or hold0out to estimate classification error, F-score, precision, and recall.

While these measures provide valuable information, they do not tell us a model's certainty relative to particular regions of the input space. Typically there are regions where the model can differentiate the classes with certainty, and regions where the model is much less certain about its predictions.

In this dissertation we explore numerous approaches for quantifying uncertainty in the individual predictions made by supervised …

Longitudinal Bunch Profile Diagnostic For Magnetized Electron Beams, Mark Stefani, Fay Hannon

Electrical & Computer Engineering Faculty Publications

The study of magnetized electron beam has become a high priority for its use in ion beam cooling as part of electron ion colliders and the potential of easily forming flat beams with a large aspect ratio. In this paper, a new diagnostic is described with the purpose of studying longitudinal and transverse magnetized beam properties. The device is a modification to a typical pepper-pot. Specifically, this 1D pepper-pot was designed for use with a transverse deflecting cavity for longitudinal bunch profile measurements of magnetized beams.

Search For Gravitational-Wave Signals Associated With Gamma-Ray Bursts During The Second Observing Run Of Advanced Ligo And Advanced Virgo, B. P. Abbott, R. Abbott, Teviet Creighton, Mario C. Diaz, Soma Mukherjee, Volker Quetschke, Malik Rakhmanov, K. E. Ramirez, Satzhan Sitmukhambetov, Robert Stone, D. Tuyenbayev, W. H. Wang

Physics & Astronomy Faculty Publications

We present the results of targeted searches for gravitational-wave transients associated with gamma-ray bursts during the second observing run of Advanced LIGO and Advanced Virgo, which took place from 2016 November to 2017 August. We have analyzed 98 gamma-ray bursts using an unmodeled search method that searches for generic transient gravitational waves and 42 with a modeled search method that targets compact-binary mergers as progenitors of short gamma-ray bursts. Both methods clearly detect the previously reported binary merger signal GW170817, with p-values of z ≤ 1. We estimate 0.07–1.80 joint detections with Fermi-GBM per year for the 2019–20 …

Bayesian Operational Modal Analysis Of Offshore Rock Lighthouses: Close Modes, Alignment, Symmetry And Uncertainty, James Mark William Brownjohn, Alison Raby, Siu Kui Au, Zuo Zhu, Xinrui Wang, Alessandro Antonini, Athanasios Pappas, Dina D'Ayala

School of Engineering, Computing and Mathematics

No abstract provided.

Michael Haydn's Early Masses And Their Viennese Context, Bruce C. Macintyre

HAYDN: Online Journal of the Haydn Society of North America

Although Joseph Haydn felt that his brother Michael (1737-1806) held “first place” in the field of church music, scholarship on the brother surprisingly still has many lacunae; e.g., in the study of Michael’s early works composed before he went to Salzburg. Nearly half of this brother’s 28 settings of the Mass Ordinary for voices with orchestral accompaniment were composed in his early years, i.e. after his early studies in Vienna ca. 1745 and during his work for the bishop in Grosswardein (Oradea, Romania) and prior to his arrival in Salzburg in August 1763. This paper attempts to shed more light …

Strategic Categories And Competition: Significant Clustering For Strategic Groups, Charles Carroll, Howard Thomas

Research Collection Lee Kong Chian School Of Business

Purpose: Strategic groups research has been hampered by the poor alignment between theory and methods. This has been due in large part to the lack of significance tests for cluster analysis. Now that significance tests are available, the theoretical and methodological implications are discussed. The paper aims to discuss these issues. Design/methodology/approach: The theory behind strategic groups is reframed to capitalize on the available significance tests. Subsequently, the significance tests are also modified to fit the proposed theory. Due to this integrative approach, this is both a theoretical and a methodological paper. Findings: In lieu of significance tests, finding differences …

An Analytical Solution For Chloride Diffusion In Concrete With Considering Binding Effect, D Li, Xianfeng Wang, L-Y Li

School of Engineering, Computing and Mathematics

No abstract provided.

Bayesian Multivariate Nonlinear State Space Copula Models, A Kreuzer, L Dalla Valle, C Czado

School of Engineering, Computing and Mathematics

No abstract provided.

What Do Chinese Clients Want?, Ji Li, Wei Zhang

Research Collection Yong Pung How School Of Law

The world’s two largest economies are locked in an escalating trade war, and caught in the crossfire are hundreds of Chinese multinational companies (MNCs) that have made substantial U.S. investments. Facing heightened legal risks in a less hospitable environment, the Chinese MNCs increasingly depend on local lawyers. Yet, their purchase of U.S. legal service, a topic of both practical and theoretical importance, has received little attention. To fill the gap, this article empirically investigates how Chinese companies in the United States select their U.S. legal counsel. By analyzing a unique dataset, the article finds that Chinese MNC managers uniformly prioritize …

Pharmacokinetics Of 99mTc-Hmpao In Isolated Perfused Rat Lungs, Anne V. Clough, Katherine Barry, Benjamin Michael Rizzo, Elizabeth R. Jacobs, Said H. Audi

Biomedical Engineering Faculty Research and Publications

Lung uptake of technetium-labeled hexamethylpropyleneamine oxime (HMPAO) increases in rat models of human acute lung injury, consistent with increases in lung tissue glutathione (GSH). Since ^99mTc-HMPAO uptake is the net result of multiple cellular and vascular processes, the objective was to develop an approach to investigate the pharmacokinetics of ^99mTc-HMPAO uptake in isolated perfused rat lungs. Lungs of anesthetized rats were excised and connected to a ventilation-perfusion system. ^99mTc-HMPAO (56 MBq) was injected into the pulmonary arterial cannula, a time sequence of images was acquired, and lung time-activity curves were constructed. Imaging was repeated with a range …