DOCSLIB.ORG

LC-MS/MS Method Development for Quantitative Analysis of Cyanogenic

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
LC-MS/MS Method Development for Quantitative Analysis of Cyanogenic LC-MS/MS METHOD DEVELOPMENT FOR QUANTITATIVE ANALYSIS OF CYANOGENIC GLYCOSIDES IN ELDERBERRY AND LIPID PEROXIDATION PRODUCTS IN MICE _______________________________________ A Dissertation presented to the Faculty of the Graduate School at the University of Missouri-Columbia _______________________________________________________ In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy _____________________________________________________ by MICHAEL KWAME APPENTENG Dr. C. Michael Greenlief, Dissertation Supervisor May 2021 © Copyright by Michael Kwame Appenteng 2021 All Rights Reserved The undersigned, appointed by the dean of the Graduate School at the University of Missouri-Columbia, have examined the dissertation entitled. LC-MS/MS Method Development for Quantitative Analysis of Cyanogenic Glycosides in Elderberry and Lipid Peroxidation Products in Mice presented by Michael Kwame Appenteng, a candidate for the degree of Doctor of Philosophy in Chemistry, and hereby certify that, in their opinion, it is worthy of acceptance. Professor C. Michael Greenlief Professor Silvia S. Jurisson Professor John D. Brockman Professor Chung-Ho Lin DEDICATION This dissertation is dedicated to my dear wife, Naa Adjorkor Sowah and delightful son, Frank Cudjoe Appenteng, for their love, unwavering support, and inspiration. Also, to my selfless parents, Frank Cudjoe and Comfort Asaku, who in little, never compromised on quality education. ACKNOWLEDGMENTS I have received a great deal of support and assistance throughout my research, dissertation writing and entire graduate school experience. I would first like to express my deepest appreciation to my advisor, Dr. C. Michael Greenlief for his unparalleled mentorship, patient and invaluable scientific insights and contributions to my work. Being part of the Greenlief research group has exposed me to great research projects, which have shaped me into an effective and efficient researcher. This has been a life changing experience and I am deeply indebted to him for his unwavering support and profound belief in me and my abilities. I would also like to thank the rest of my dissertation committee members (Silvia S. Jurisson, Chung-Ho Lin and John D. Brockman) who contributed immensely to the success of my research through their nurturing, constructive criticism and wise counsel. I am also very grateful to Renee D. JiJi who contribute immensely to my work as a committee member before leaving the University. I would also like to extend my gratitude to all members of the collaborative research team (Research Council Grant) especially Dr. Grace Sun, Dr. David Q. Beversdorf, Dr. Kevin L. Fritsche, Dr. Jiankun Cui, Li Runting and Kille Braina, for their rich insight and enthusiasm towards research. Special thanks to Dr. Andrew L. Thomas at the Division of Plant Sciences, Southwest Research Center, University of Missouri, Mt. Vernon, for providing different varieties of American elderberry samples at different growth stages for analysis. I would also like to specially acknowledge Dr. Brain Mooney and Dr. Pei Liu at the Gehrke Proteomics Center. I learned much as a graduate research assistant under their supervision. Their patience, clarity of direction and decisiveness in research work was second to none. Under their watch, I was nurtured to excel not only in team research but also as an independent thinker. I also want to acknowledge present and past members of the Greenlief research group especially Mitch Johnson and Bo Yang for ii their support and for enabling an intellectually stimulating environment during my research. Mitch Johnson was very instrumental in walking me through the basics of method development using the Xevo TQS-MS instrument. I cannot forget the assistance and input from undergrads like Ritter Krueger and Richard Bell who worked with me to optimize the picrate method. I am also very grateful to the Chemistry Department and Gehrke Proteomics Center for providing the necessary facilities, instruments, and equipment for my research. Notable mentions include Jerry Brightwell and Holly Oswald who provided all the needed help and support. To my parents Mr. Frank Cudjoe and Mrs. Comfort Asaku and all my siblings, I am extremely grateful for your continuous prayers, support, and love. To my spiritual and God parents, Reverend Mr. and Mrs. Acheampong and Dr. Mr. and Mrs. Appenteng respectively, I say, a big thank you for your prayers and wise counsel all these years. I cannot begin to express my immense appreciation to my lovely wife, Naa Adjorkor Sowah and son, Frank Cudjoe Appenteng. You always give me a reason to smile each morning and keep my focus amidst any challenges. I am extremely grateful to you. Finally, to Jehovah God, I say thank you so much for your grace, direction, good health, sound mind and the gift of life without which none of this success would be possible. iii TABLE OF CONTENTS ACKNOWLEDGMENTS ................................................................................................ ii LIST OF ILLUSTRATIONS .......................................................................................... xi LIST OF TABLES ......................................................................................................... xvi ABSTRACT ................................................................................................................... xvii CHAPTER 1: Introduction .............................................................................................. 1 1.1 American Elderberry ................................................................................................. 1 1.2 Dietary Supplements ................................................................................................. 3 1.2.1 Botanical / Herbal Dietary Supplements .......................................................... 3 1.2.1.1 Herbal Supplements sales in US ........................................................... 4 1.3 Plant Metabolites ...................................................................................................... 6 1.3.1 Plant Secondary Metabolites or Bioactive Compounds ................................... 6 1.3.1.1 Phenolic compounds ............................................................................. 7 1.3.1.2 Cyanogenic glycosides ......................................................................... 9 1.4 Fatty Acids .............................................................................................................. 11 1.4.1 Essential Fatty Acids ...................................................................................... 12 1.4.1.1 Docosahexaenoic acid and Arachidonic Acid .................................... 13 1.4.2 Phospholipids ................................................................................................. 14 1.4.3 Lipids peroxidation products .......................................................................... 15 iv 1.5 Chromatography ..................................................................................................... 17 1.5.1 Chromatography Overview ............................................................................ 17 1.5.2 Gas Chromatography (GC) ............................................................................ 18 1.5.3 High-Performance Liquid Chromatography (HPLC) .................................... 18 1.5.4 Ultra-high Performance Liquid Chromatography (UHPLC) ......................... 18 1.6 Mass Spectrometry .................................................................................................. 19 1.6.1 Mass Spectrometry overview ......................................................................... 19 1.6.2 Inlet System .................................................................................................... 20 1.6.3 Ionization Sources .......................................................................................... 20 1.6.3.1 Electron Ionization (EI) ...................................................................... 20 1.6.3.2 Electrospray Ionization (ESI) ............................................................. 21 1.6.3.3 Atmospheric pressure chemical ionization ......................................... 22 1.6.4 Mass Analyzers .............................................................................................. 23 1.6.4.1 Quadrupole Mass Analyzers ............................................................... 23 1.6.5 Detectors ......................................................................................................... 24 1.6.5.1 Photomultiplier ................................................................................... 24 1.6.6 Tandem Mass Spectrometry ........................................................................... 25 1.6.6.1 Triple Quadrupole (QqQ) ................................................................... 25 1.6.6.2 Multiple Reaction Monitoring (MRM) ............................................... 26 1.6.7 Liquid Chromatography Mass Spectrometry (LC-MS) ................................. 27 v 1.7 References ............................................................................................................... 28 CHAPTER 2: Determining and mitigating the potential occurrence of cyanide in elderberries ...................................................................................................................... 42 2.1 Introduction ............................................................................................................
Load more

Recommended publications
  • Examples of Personal Assistance Service Devices
    Examples Of Personal Assistance Service Devices Megascopic and log Buddy palisading some winger so inward! Combinatorial and conceptional Irwin partaking so needily that Saundra elate his imbrication. Lophodont Olaf homesteads moralistically while Tonnie always gaugings his overturns tubulate straightforward, he fluking so immaterially. You decide how can protect against a medicare patrol program responsibilities of assistance service section of information about As such, the State is now at a decision point regarding the future direction of portable wireless devices and the ongoing support of the infrastructure. Americans, many of whom could receive services in their own homes. Personal Assistance Services associated with the Life Satisfaction of Persons with Physical Disabilities? Our aircraft are not equipped with refrigerators. You have permission to copy material in box manual during your ownuse if proper credit is given. To reduce costs. Foot powder should first be used in available with protective conductive footwear because it provides insulation, reducing the conductive ability of the shoes. The person will agree to deal with assisted living will be sufficient view examples of technology helps users have to listen to? CILs have the potential, with training, to support parents with disabilities, especially to advocate regarding transportation, housing, financial advocacy, and assistive technology issues, and church offer parent support groups. ILRU is a program of TIRR Memorial Hermann, a nationally recognized medical rehabilitation facility for persons with disabilities. Instructions: please deduct this snippet directly into post page contribute your website template. Business Leadership Network and offer American Association of hat with Disabilities. AI capabilities are in software cloud, running the connected device seen and used by the user simply serving as an terms and output device.
    [Show full text]
  • Nevada's Digital Data Laws in The
    21 NEV. L.J. 379 CONVENIENCE OR CONFIDENTIALITY: NEVADA’S DIGITAL DATA LAWS IN THE AGE OF ALWAYS-LISTENING DEVICES E. Sebastian Cate-Cribari* TABLE OF CONTENTS INTRODUCTION ................................................................................................ 379 I. HISTORICAL CONTEXT FOR MODERN ISSUES ...................................... 380 A. Development of Always-Listening Devices .................................. 380 B. Always-Listening Devices in the Law .......................................... 383 C. Nevada’s Historical Approach to Recordings ............................. 385 II. PROSECUTION MOVES ALWAYS-LISTENING DEVICES INTO EVIDENCE ............................................................................................ 388 A. Transcripts and Recordings Under Nevada’s Hearsay Laws ...... 388 B. Transcripts and Recordings Under Nevada’s Authentication Laws ............................................................................................. 389 C. Transcripts Irrelevant When Recordings Available .................... 390 III. PROTECTING NEVADANS’ CONSTITUTIONAL RIGHTS .......................... 393 A. Fourth Amendment Protections and Always-Listening Device Data .............................................................................................. 394 B. First Amendment Issues yet Unanswered .................................... 398 IV. WHAT’S THE USE? REAL WORLD IMPACT OF LEGAL CHANGES ......... 398 A. Always-Listening Devices in Criminal Cases .............................. 398 B. Always-Listening
    [Show full text]
  • A New Era: Digital Curtilage and Alexa-Enabled Smart Home Devices
    Touro Law Review Volume 36 Number 2 Article 12 2020 A New Era: Digital Curtilage and Alexa-Enabled Smart Home Devices Johanna Sanchez Touro Law Center Follow this and additional works at: https://digitalcommons.tourolaw.edu/lawreview Part of the Constitutional Law Commons, Fourth Amendment Commons, Internet Law Commons, Law Enforcement and Corrections Commons, and the Supreme Court of the United States Commons Recommended Citation Sanchez, Johanna (2020) "A New Era: Digital Curtilage and Alexa-Enabled Smart Home Devices," Touro Law Review: Vol. 36 : No. 2 , Article 12. Available at: https://digitalcommons.tourolaw.edu/lawreview/vol36/iss2/12 This Article is brought to you for free and open access by Digital Commons @ Touro Law Center. It has been accepted for inclusion in Touro Law Review by an authorized editor of Digital Commons @ Touro Law Center. For more information, please contact [email protected]. Sanchez: A New Era: Digital Curtilage A NEW ERA: DIGITAL CURTILAGE AND ALEXA-ENABLED SMART HOME DEVICES Johanna Sanchez* I. INTRODUCTION ....................................................................664 II. SOCIERY’S BENEFITS DERIVED FROM THE ALEXA-ENABLED SMART HOME DEVICES .......................................................667 A. A New Form of Electronic Surveillance...............667 1. What is a smart device? ..............................667 2. What is voice recognition? ..........................668 3. The Alexa-enabled Echo device assists law enforcement .......................................................669 4.
    [Show full text]
  • Surname Given Homefac Homedept Grandtotal Abarbanel-Uemurataro
    Surname Given HomeFac HomeDept GrandTotal Abarbanel-UemuraTaro GEST 7 Abbas Ali GENIE CSIGUA 72.39 Abbas Sadiq GENIE CSIGUA 52.66 Abbes Chahreddine SSOC DVMOUA 10 Abbott Kevin SSOC PSYOUA 24 Abbott Caleb ARTS THEAUA 0.33 Abdallah Sara SSAN ACTPNUA 2.41 Abdennur Victoria ARTS ILSAUA 191.09 Abdesselam Aziz GENIE CSIGUA 117.78 Abdul-Majid Sawsan GENIE ELGGUA 14.98 Abdulnour Joseph SSAN ACTPNUA 3 Abdulridha Alaa GENIE CVGGUA 39.57 Abou-Hsab Georges ARTS LLMAUA 28.24 Abtahi Yasmine EDU EDUTEUA 39.06 Achab Karim ARTS ILSAUA 74.33 Acharya Ram SSOC ECOOUA 34 Adesina Opeyemi GENIE CSIGUA 3 Adlington Tara SSAN SINFNUA 8 Ado Abdoulkadre GEST 8 Afonso Carla SSAN SINFNUA 1.22 Afshar Zanjani Kaveh SSOC APIOUA 5 Agbaglah Gbemeho Gilou GENIE MCGGUA 1 Aggor-Boateng Adolphine SSOC SOCOUA 99 Aguer Céline SCIEN BCHSUA 1 Ahluwalia Kyle ARTS THEAUA 14 Ahmad Shamilah SSAN SINFNUA 4 Ahmed Mohamed GENIE ELGGUA 13.99 Ahola-Sidaway Janice EDU EDUDEUA 6 Ait Hammou Abdou GEST 21.5 Aizu Yoriko ARTS LLMAUA 67.19 Akhigbe Okhaide GEST 9.5 Akl Joyce ARTS LLMAUA 15.47 Al Hassan Lina ARTS ILSAUA 2.92 Alainachi Imad GENIE CVGGUA 1 Alamgir-Arif Rizwana SSOC ECOOUA 3 Albert Anne-Andrée SSAN SINFNUA 3.8 Alekseevskaia Mariia SSOC SOCOUA 3 Alencar Dos SantosVito Assis GENIE CVGGUA 3 Al-Fattal Rouba SSOC POLOUA 12 Al-Hasoo Basam ARTS LLMAUA 3.93 Alja'Afreh Mohammad GENIE CSIGUA 3 Al-Jarrah Ahmad GENIE MCGGUA 6 Allain Rhéal ARTS ILSAUA 17.32 Almansour Husham GENIE CVGGUA 1 Almaskut Ahmed SSAN ACTPNUA 16 Al-Mulla Zaid GEST 6 Alphonse Jean Roger EDU EDUFEUA 19.66 Alqawasmeh Yousef
    [Show full text]
  • Artificial Intelligence for Marketing: Practical Applications, Jim Sterne © 2017 by Rising Media, Inc
    Trim Size: 6in x 9in k Sterne ffirs.tex V1 - 07/19/2017 7:25am Page i Artificial Intelligence for Marketing k k k Trim Size: 6in x 9in k Sterne ffirs.tex V1 - 07/19/2017 7:25am Page ii Wiley & SAS Business Series The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions. Titles in the Wiley & SAS Business Series include: Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: Using Big Data for Good by Marie Lowman Bank Fraud: Using Technology to Combat Losses by Revathi Subramanian Big Data Analytics: Turning Big Data into Big Money by Frank Ohlhorst Big Data, Big Innovation: Enabling Competitive Differentiation through by Evan Stubbs k Business Analytics k Business Analytics for Customer Intelligence by Gert Laursen Business Intelligence Applied: Implementing an Effective Information and Communications Technology Infrastructure by Michael Gendron Business Intelligence and the Cloud: Strategic Implementation Guide by Michael S. Gendron Business Transformation: A Roadmap for Maximizing Organizational Insights by Aiman Zeid Connecting Organizational Silos: Taking Knowledge Flow Management to the Next Level with Social Media by Frank Leistner Data-Driven Healthcare: How Analytics and BI Are Transforming the Industry by Laura Madsen Delivering Business Analytics: Practical Guidelines for Best Practice by Evan Stubbs Demand-Driven Forecasting: A Structured Approach to Forecasting, Second
    [Show full text]
  • UC Irvine Electronic Theses and Dissertations
    UC Irvine UC Irvine Electronic Theses and Dissertations Title Improving Efficacy of Support Groups in Online Environments Permalink https://escholarship.org/uc/item/12q608h5 Author Esmaeeli, Ali Publication Date 2020 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, IRVINE Improving Efficacy of Support Groups in Online Environments DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Management by Ali Esmaeeli Dissertation Committee: Professor L. Robin Keller, Co-chair Professor Cornelia (Connie) Pechmann, Co-chair Associate Professor John Turner 2020 © 2020 Ali Esmaeeli DEDICATION To My supportive family who value diligence and wisdom ii TABLE OF CONTENTS Page LIST OF FIGURES v LIST OF TABLES vi ACKNOWLEDGMENTS vii VITA viii ABSTRACT OF THE DISSERTATION ix INTRODUCTION 1 CHAPTER 1: The Effects of Buddy Systems in Online Support Groups on Members’ Goal Attainment and Interactions 4 Theoretical Framework and Hypotheses 7 Buddy Systems and Hypotheses Development 7 Measuring Tie Strength 13 Research Methods 16 Setting 16 Dependent and Independent Variables 18 Analyses Approach 21 Empirical Results 23 Descriptive Statistics 23 Test of H1 25 Test of H2 26 Test of H3 29 Test of H4 30 Test of H5 (Mediation Test) 34 Discussion 36 Summary and Conclusion 36 Limitations 37 CHAPTER 2: Adding a Chatbot to Online Support Groups: The Natural Language
    [Show full text]
  • Using Virtual Assistants and Chatbots for Crisis Communication Uso De Asistentes Virtuales Y Chatbots Para La Comunicación De Crisis
    aDResearch ESIC Nº 25 Vol 25 · Monográfico especial, marzo 2021 · págs. 70 a 91 Using Virtual Assistants and Chatbots for Crisis Communication Uso de asistentes virtuales y chatbots para la comunicación de crisis Gema Bonales Daimiel, Ph.D., Bonales Daimiel, G. y Citlali Martínez Estrella, E. (2021) Associate professor at the department Using virtual assistants and chatbots for crisis of Applied Communication Sciences, communication Complutense University of Madrid Revista Internacional de Investigación en Comunicación [email protected] aDResearch ESIC. Nº 25 Vol 25 https://orcid.org/0000-0003-2085-2203 Monográfico especial, marzo 2021 · Págs. 70 a 91 Eva Citlali Martínez Estrella, Ph.D. student, https://doi.org/10.7263/adresic-025-04 Complutense University of Madrid [email protected] https://orcid.org/0000-0001-6599-1050 Nº 25 Vol 25 · Monográfico especial, marzo 2021 · págs. 70 a 91 ABSTRACT Purpose: To study the role of bots and the main virtual assistants as communication tools and support for citizenship. The goal is to observe if this type of technology achieves the designed objectives, if it is useful for the users and to know how they have contributed to the communi- cation crisis strategies of the government and other institutions in the context of the Covid-19 pandemic. Design / Methodology / Approach: The current study therefore pursued a mixed method: a qualitative fieldwork whit a quantitative assessment by adding an additional measurement from user’s interest. In order to achieve the objectives, the research has a comparative analysis that contrasts the data collected in surveys, interviews with experts and in the fieldwork done on the selected platforms, which have been analyzed from seven different dimensions: pre- JEL Classification: determined questions, initial greeting, privacy policies, languages, data on the health center, M31 health recommendations and a diagnosis option.
    [Show full text]
  • Alexa, What Is Going on with the Impeachment?'' Evaluating Smart Speakers for News Quality
    “Alexa, what is going on with the impeachment?” Evaluating smart speakers for news quality. Henry K. Dambanemuya Nicholas Diakopoulos [email protected] [email protected] Northwestern University Northwestern University ABSTRACT As an initial effort, in this work we propose a framework Smart speakers are becoming ubiquitous in daily life. The for evaluating voice assistants for information quality. Infor- widespread and increasing use of smart speakers for news mation quality is especially important for voice assistants and information in society presents new questions related because typically only one voice query result is provided to the quality, source diversity and credibility, and reliability instead of a selection of results to choose from. Our aim in of algorithmic intermediaries for news consumption. While this work is not to characterise the state of smart speaker user adoption rates soar, audit instruments for assessing in- information quality per se, since it is constantly evolving, formation quality in smart speakers are lagging. As an initial but rather to provide a framework for auditing information effort, we present a conceptual framework and data-driven quality on voice assistants that can be used over time to char- approach for evaluating smart speakers for information qual- acterise and track changes. We demonstrate our framework ity. We demonstrate the application of our framework on the using the Amazon Alexa voice assistant on the Echo Plus Amazon Alexa voice assistant and identify key information device. provenance and source credibility problems as well as sys- Our key contributions are 4-fold. First, we provide a data- tematic differences in the quality of responses about hard driven approach for evaluating information quality in voice and soft news.
    [Show full text]
  • Classifying Smart Personal Assistants: an Empirical Cluster Analysis
    Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 Classifying Smart Personal Assistants: An Empirical Cluster Analysis Robin Knote Andreas Janson Matthias Söllner University of Kassel University of Kassel University of St.Gallen and [email protected] [email protected] University of Kassel [email protected] Jan Marco Leimeister University of St.Gallen and University of Kassel [email protected] Abstract provision. In practice, SPAs unfold their potential in various forms and contexts [8], such as on smartphones The digital age has yielded systems that [38], in smart home environments [11], in cars [5], in increasingly reduce the complexity of our everyday service encounters [43], or as support for elderly or lives. As such, smart personal assistants such as impaired people [11]. Amazon’s Alexa or Apple’s Siri combine the comfort of However, prominent examples such as those intuitive natural language interaction with the utility of mentioned above represent SPAs that are explicitly personalized and situation-dependent information and developed for a broad consumer market. They thus are service provision. However, research on SPAs is only the tip of the iceberg. Since the idea of becoming increasingly complex and opaque. To reduce information systems (IS) that pervasively assist complexity, this paper introduces a classification humans in conducting certain tasks is by far not new, system for SPAs. Based on a systematic literature numerous efforts were made in IS, computer science review, a cluster analysis reveals five SPA archetypes: and human-computer-interaction research to develop Adaptive Voice (Vision) Assistants, Chatbot Assistants, SPAs as previously defined.
    [Show full text]
  • 31 Use of Intelligent Voice Assistants by Older Adults with Low
    Use of Intelligent Voice Assistants by Older Adults with Low Technology Use ALISHA PRADHAN and AMANDA LAZAR, University of Maryland LEAH FINDLATER, University of Washington Voice assistants embodied in smart speakers (e.g., Amazon Echo, Google Home) enable voice-based interac- tion that does not necessarily rely on expertise with mobile or desktop computing. Hence, these voice assis- tants offer new opportunities to different populations, including individuals who are not interested orableto use traditional computing devices such as computers and smartphones. To understand how older adults who use technology infrequently perceive and use these voice assistants, we conducted a 3-week field deployment of the Amazon Echo Dot in the homes of seven older adults. While some types of usage dropped over the 3-week period (e.g., playing music), we observed consistent usage for finding online information. Given that much of this information was health-related, this finding emphasizes the need to revisit concerns about cred- ibility of information with this new interaction medium. Although features to support memory (e.g., setting timers, reminders) were initially perceived as useful, the actual usage was unexpectedly low due to reliabil- ity concerns. We discuss how these findings apply to other user groups along with design implications and recommendations for future work on voice-user interfaces. CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Empirical studies in 31 HCI; Additional Key Words and Phrases: Conversational interfaces, voice assistants, smart speakers, low technol- ogy use, older adults ACM Reference format: Alisha Pradhan, Amanda Lazar, and Leah Findlater. 2020. Use of Intelligent Voice Assistants by Older Adults with Low Technology Use.
    [Show full text]
  • International Virtual Exchange Conference (IVEC), 2020
    International Virtual Exchange Conference 14-16 September 2020 Hosted online by Newcastle University © International Virtual Exchange Conference (IVEC), 2020. Conference chair: Müge Satar. Book of abstracts: Şaziye Taşdemir, Peter Sercombe, Müge Satar. Typeset and cover design: International Virtual Exchange Conference (IVEC). © Alan Wallace Table of Contents About the conference ....................................................................................... 1 Keynote speakers ............................................................................................. 5 Panel ................................................................................................................. 9 Pre-recorded sessions ..................................................................................... 11 Live sessions ................................................................................................... 97 Author index ................................................................................................. 156 © Graeme Peacock About the conference The International Virtual Exchange Conference (IVEC) is the largest and most prominent international event on virtual exchange, providing a forum for an audience of deans, directors, faculty, instructional designers, administrators, and professionals from institutions around the world interested in technology, international education, and new pedagogies. IVEC 2020 features 76 presentations, 10 posters, 16 workshops, 11 symposia, 2 keynote speakers, and a panel discussion.
    [Show full text]
  • Cognitive Assistance at Work
    Cognitive Assistance in Government Papers from the AAAI 2015 Fall Symposium Cognitive Assistance at Work Hamid R. Motahari Nezhad IBM Almaden Research Center San Jose, CA 95120 United Stated [email protected] Abstract their main communication paradigm and infor- Today’s businesses, government and society work and ser- mation sharing, vices are centered around interactions, collaborations and 5) Vast amount of information that are produced, knowledge work. The pace, amount and veracity of data communicated, processed and needed to be man- generated and processed by a worker has accelerated signif- aged by a worker in the work context in order to icantly to the level that challenged human cognitive load and productivity. On the other hand, big data has provided perform work effectively; an unprecedented opportunity for AI to tackle one of the 6) And, the fast pace of the work that has led to main challenges hindering the AI progress: building models shaping new interaction and communication pat- of world in a scalable, adaptive and dynamic manner. In this terns and habit, and in particular the increasing paper, we describe the technology requirements of building use of instant and real-time communication as in- cognitive assistance technologies that assists human work- ers, and present a cognitive work assistant framework that tegrated part of work productivity tools. There are aims at offering intelligence assistance to workers to im- already startups and enterprise applications that prove their productivity and agility. We then describe the innovate by bringing messaging tools and inte- design and development of a set of cognitive services of- grating it into enterprise collaboration platforms.
    [Show full text]