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Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Authors -- 1. Mathematical Modeling Approach to COVID-19: Vetted Real Data -- 1.1 Introduction -- 1.1.1 Main Objectives of This Book -- 1.2 Anatomical Structure of COVID-19 Virus -- 1.3 Virus Incubation Period -- 1.3.1 Disease Carriers -- 1.3.2 Case Fatality Rate (CFR, %) -- 1.3.3 COVID-19 Transmission Mechanisms -- 1.4 Epidemiological Aspects of nCov2019 (SARS-Cov-19) -- 1.5 Economic Impacts of Novel Coronavirus -- 1.6 Mathematical Model for the Prediction of Novel Coronavirus (nCov2019) -- 1.6.1 Variables Used for Model Building -- 1.6.2 Endemic and Epidemic Equilibria -- 1.7 Model Discussion -- 1.7.1 Model Conclusions -- 1.8 Epidemiological Model for the Estimation of Hazard Rate and Geometric Progression of nCov2019 -- 1.8.1 Formulation of the Epidemiological Risk Assessment COVID Model -- 1.9 Epidemiological Model Approach of New Diseases -- 1.9.1 Model Formulation -- 1.9.1.1 Latent growth model of novel coronavirus -- 1.9.2 Gauss-Markov Theorem (GMT) -- 1.9.3 Maximum Likelihood Estimation (MLE) of Gauss-Markov Theorem (GMT) -- 1.9.4 Gauss-Markov Weighted Least Squares Analysis -- 1.10 Susceptible-Infective-Recovered (SIR) Epidemiological Model of COVID -- 1.10.1 Model Formulation -- 1.10.2 SIR Model Discussion -- 1.11 EP Model with Varying Population -- 1.11.1 Reproduction Number Approach to Binomial Distribution (R[sub(0)]) -- 1.12 Machine Learning Model for SARS-Cov-19 -- 1.12.1 Machine Learning Model -- 1.13 Models of Machine Learning -- 1.13.1 Measurement Error (u) -- 1.13.2 Stochastic Error (u) -- 1.13.3 Hidden Gauss-Markov Theorem (HGMT) -- 1.14 COVID-19 Mathematical Model Approach to Selective Sample -- 1.14.1 Model Formulation -- 1.15 Recommendations -- 1.16 Study Limitations -- 1.17 Conflict of Interest.

Cover -- Content -- 1. Introduction -- 1.1 The central hypothesis-in bad neighbourhood? -- 1.2 Digital capitalism and value -- 1.3 Productive forces and the market -- 1.4 Three distributive forces and their development -- 1.5 lllustrations and destructions -- 2. Digital Capitalism Revisited-again? -- 2.1 Dan Schiller and the emergence of digital capitalism -- 2.2 Dynamic-Transformation-Actors -- 2.3 Immateriality-Labour-Value -- 2.4 Scarcity-Superabundance-Crisis -- 2.5 Much said-any questions answered? -- 3. The First Blind Spot Value in Digital Capitalism -- 3.1 Mazzucato or the rediscovery of value -- 3.2 Whoever speaks of value … -- 3.3 Continuing the search for the new -- 4. Transformation and the Productive Forces -- 4.1 Polanyi's Great Transformation -- 4.2 Marx's development of the productive forces -- 4.3 The productive forces and digital capitalism: reductionism and misunderstandings -- 5. The second blind spot The realisation of value in (digital) capitalism -- 5.1 Expansion and the market -- 5.2 Consumption and society -- 5.3 Communication and crisis -- 6. The Distributive Forces and (Digital) Capitalism What is New? -- 6.1 The distributive force 'advertising and marketing' -- 6.2 The distributive force 'transport and warehousing' -- 6.3 The distributive force 'control and prediction' -- 6.4 How the distributive forces combine with digitalisation -- 7. The Distributive Forces and (Digital) Capitalism Some Clarifications -- 7.1 Distinction: relations of distribution versus circulation -- 7.2 Transformation or casting off the skin: the disruption of the productive forces? -- 7.3 The development of productive and distributive forces- conceived as one -- 8. The Distributive Forces in Digital Capitalism Some Empirical Illustrations -- 8.1 GAFAM and the platform economy -- 8.2 Catalysts for value realisation.

"A culture of trust is usually claimed to have many public benefits, by lubricating markets, managing organizations, legitimating governments, and facilitating collective action. If so, any signs of eroding trust are, and should be, a matter of serious concern. But the broader perspective developed in this book recognizes that trust has two faces, not one. Confidence in anti-vax theories has weakened herd immunity. Faith in Q-Anon conspiracy theories triggered violent insurrection. Disasters flow from gullible beliefs in fake Covid-19 cures, Madoff pyramid schemes and the Big Lie denying President Biden's legitimate election. Trustworthiness involves an informal social contract by which principals authorize agents to act on their behalf in the expectation that they will fulfil their responsibilities with competency, integrity and impartiality, despite conditions of risk and uncertainty. Skeptical judgments reflect reasonably accurate and informed predictions about agents' future actions based on their past performance and guardrails deterring dishonesty, mendacity, and corruption. We should trust but verify. Unfortunately, assessments are commonly flawed. Both cynical beliefs (underestimating performance) and credulous faith (over-estimating performance) involve erroneous judgements reflecting cultural biases, poor cognitive skills, and information echo chambers. These conclusions draw on new evidence from the European Values Survey/World Values Survey conducted among over 650,000 respondents in more than 100 societies over four decades. In Praise of Skepticism warns that an excess of credulous trust poses serious and hitherto unrecognized risks in a world full of seductive demagogues playing on our insecurities, lying swindlers exploiting our greed, and silver-tongued conspiracy theorists manipulating our darkest fears"--

Part I Pre-Disaster -- 1. Impact of Mexican Public Policies in the development of COVID-19 Pandemic -- 2. Clustering of Highly Vulnerable Mexican Municipalities to Develop Humanitarian Public Policies -- 3. Strategies that improve the performance of the humanitarian supply chain -- 4. Water resources in Mexico and their implications in the phenomenon of drought -- 5. A Proposal to the Reduction of Carbon Dioxide Emission in Inventory Replenishment: Mitigating the Climate Change -- 6. Theoretical approach to risk reduction since urban form -- 7. Allocation Model Applied to Preventive Evacuation for Volcanic Risk in Localities Near the Popocatepetl Volcano in Puebla, Mexico -- 8. Identification of homogeneous hydrological administrative regions in Mexico using analysis of variance -- Part II Post-Disaster -- 9. Optimising distribution of limited COVID-19 vaccines: Analysing im-pact in Argentine -- 10. Location of Regional Humanitarian Response Depot (RHRD) in the Seven Regions in the State of Puebla -- 11. Location of Humanitarian Response Distribution Centers for the State of Chiapas -- 12. Distribution of Personal Protective Equipment, derived from the Pres-ence of the COVID-19 Virus in Mexico -- 13. A prediction model to determine a COVID-19 patient's outcome based on its risk factors -- 14. Application of a Markov Decision Process in Collection Center Opera-tions -- 15. Decision-Support Tool for Coordination of Volunteers during Lock-downs -- 16. Facilities Location under Risk Mitigation Concerns -- Part III Multi-criteria approaches -- 17. An Integrated FAHP-based Methodology to Compute a Risk Vulnera-bility Index -- 18. A multi-criteria decision-making framework for the design of the re-lief distribution routes.

Cover -- Title Page -- Copyright -- Contents -- Biography -- List of Contributors -- Chapter 1 Artificial Intelligence and Cybersecurity: Tale of Healthcare Applications -- 1.1 Introduction -- 1.2 A Brief History of AI -- 1.3 AI in Healthcare -- 1.4 Morality and Ethical Association of AI in Healthcare -- 1.5 Cybersecurity, AI, and Healthcare -- 1.6 Future of AI and Healthcare -- 1.7 Conclusion -- References -- Chapter 2 Data Analytics for Smart Cities: Challenges and Promises -- 2.1 Introduction -- 2.2 Role of Machine Learning in Smart Cities -- 2.3 Smart Cities Data Analytics Framework -- 2.3.1 Data Capturing -- 2.3.2 Data Analysis -- 2.3.2.1 Big Data Algorithms and Challenges -- 2.3.2.2 Machine Learning Process and Challenges -- 2.3.2.3 Deep Learning Process and Challenges -- 2.3.2.4 Learning Process and Emerging New Type of Data Problems -- 2.3.3 Decision‐Making Problems in Smart Cities -- 2.3.3.1 Traffic Decision‐Making System -- 2.3.3.2 Safe and Smart Environment -- 2.4 Conclusion -- References -- Chapter 3 Embodied AI‐Driven Operation of Smart Cities: A Concise Review -- 3.1 Introduction -- 3.2 Rise of the Embodied AI -- 3.3 Breakdown of Embodied AI -- 3.3.1 Language Grounding -- 3.3.2 Language Plus Vision -- 3.3.3 Embodied Visual Recognition -- 3.3.4 Embodied Question Answering -- 3.3.5 Interactive Question Answering -- 3.3.6 Multi‐agent Systems -- 3.4 Simulators -- 3.4.1 MINOS -- 3.4.2 Habitat -- 3.5 Future of Embodied AI -- 3.5.1 Higher Intelligence -- 3.5.2 Evolution -- 3.6 Conclusion -- References -- Chapter 4 Analysis of Different Regression Techniques for Battery Capacity Prediction -- 4.1 Introduction -- 4.2 Data Preparation -- 4.2.1 Dataset -- 4.2.2 Feature Extraction -- 4.2.3 Noise Addition -- 4.3 Experiment Design and Machine Learning Algorithms -- 4.4 Result and Analysis -- 4.5 Threats to Validity -- 4.6 Conclusions.

Intro -- Preface -- Organization -- Contents -- Social Cybersecurity -- Chasing the Wrong Cloud: Mapping the 2019 Vaping Epidemic Using Data from Social Media -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Related Work -- 5 Conclusions -- References -- Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents -- 1 Introduction and Background -- 2 Methodology -- 2.1 Supply Chain Model -- 2.2 Disruptions -- 2.3 The Criminal Agent -- 2.4 Simulation and Optimization -- 3 Results -- 4 Summary and Outlook -- References -- Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media*-8pt -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Data -- 3.2 An Information Theoretic Approach to Intent Measurement -- 3.3 Disinformation Classification -- 4 Results -- 5 Discussions and Conclusions -- References -- Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 4.1 Hypergraph Construction for Meta Ads -- 4.2 Hypergraph Attention Network -- 5 Experiment -- 5.1 RQ1: Evaluation on Text Classification Task -- 5.2 RQ2: Discourse Identification in Categories -- 6 Conclusion and Future Work -- References -- A Systematic Approach for Contextualizing Focal Structure Analysis in Social Networks -- 1 Introduction -- 2 Research Problem Statement -- 3 Methodology -- 3.1 Modified Adjacency Matrix for CFSA -- 3.2 Stepwise Description of the CFSA Algorithm -- 4 Results -- 5 Conclusion and Future Work -- References -- Frames and Their Affective Dimensions: A Case Study of Climate Change News Articles -- 1 Introduction -- 2 Data and Method -- 3 Results -- 3.1 Frame Prediction -- 3.2 Frames in EPA -- 3.3 Reshare Count of Frames -- 4 Discussion -- References.

"Damage to critical energy infrastructure as a result of terrorism, criminal activity or natural disaster can have a significant impact at both a national and an international level. Reducing the vulnerability of critical infrastructure to protect populations is therefore a high priority for governments worldwide, and high-quality training courses and advanced technologies are imperative in this regard. This book presents edited contributions from the NATO Advanced Training Course (ATC) entitled 'Critical Energy Infrastructure Protection: Innovative Structures and Materials for Blast and Ballistic Protection', held as a virtual event from 22 - 25 March 2021. The principal aim of the course was to gather specialists from NATO member and partner countries interested in protecting their critical infrastructure against terrorist attacks, and to share research and practical experience in this field. The meeting provided a forum for participants and speakers to disseminate their recent work, and also served to promote the exchange of ideas and international cooperation among scientists and engineers. The focus was on the physical protection of critical infrastructure in the face of certain types of intentional threat or accident, such as explosions, impacts and blast waves, and the experts shared their experience on topics including the mitigation of risks, classification of vulnerabilities, improvement of resilience, advanced protective materials, dynamic testing of materials and structures, simulations, and numerical prediction methods. The book will be of interest to all those whose work involves protecting critical infrastructure from the threat of terrorist attacks"--

This book is especially valuable for its policy evaluation studies using both a theoretical model for policies carried out at national and regional levels and for gathering policy evaluation studies in diverse disciplines by empirical study. Policy analysis shown here employs theoretical models such as an international trade model, an optimal tariff, and spatial reorganization. At the same time, factors in well-being are taken into consideration with land development, changes in migration and local economies by natural disasters, validation of efficiency for emission control methods, the relationship between cyberspace and physical space in urban networks, and NPOs investment activities. The empirical research reported in this volume analyzes Japan, China, and Asian-Pacific cities. In the case of Japan, studies focus on the finances of local governments, the real estate industry, the role of consumer cooperatives in a food system, and agriculture and its productivity in hilly and mountainous areas. As well, the effects of industrial clusters in megacities and investment in high-speed railways and prediction of human behavior during an earthquake are studied. In Chinas case, studies focus on food policy and the effect of ecology and environment on migration policy. For Asia-Pacific cities, studies show performance rankings of "super cities" in the region. The book defines the frontier of policy evaluation following a middle path between theoretical study and empirical study with regard to evaluation. In addition, the book contributes to an understanding of the relationship between the goals and targets of sustainable development. This book is highly recommended for graduate students, policymakers, and researchers concerned with policy evaluation.

An approach to reinvigorating economic competition that doesn't break up corporate giants, but compels them to share their technology, data, and knowledge. "Bessen is a master of unpacking the nuances of a complex array of interrelated trends to build a coherent story of how the promise of the democratized Internet ended up under the control of just a few. Read The New Goliaths to see how the forest came to have only room for a few tall trees with the rest of us in the undergrowth." Joshua Gans, coauthor of Prediction Machines: The Simple Economics of Artificial Intelligence Historically, competition has powered progress under capitalism. Companies with productive new products rise to the top, but sooner or later, competitors come along with better innovations and disrupt the threat of monopoly. Dominant firms like Walmart, Amazon, and Google argue that this process of "creative destruction" prevents them from becoming too powerful or entrenched. But the threat of competition has sharply decreased over the past twenty years, and today's corporate giants have come to power by using proprietary information technologies to create a tilted playing field. This development has increased economic inequality and social division, slowed innovation, and allowed dominant firms to evade government regulation. In the face of increasing calls to break up the largest companies, James Bessen argues that a better way to restore competitive balance and dynamism is to encourage or compel these companies to share technology, data, and knowledge. --

An approach to reinvigorating economic competition that doesn't break up corporate giants, but compels them to share their technology, data, and knowledge "Bessen is a master of unpacking the nuances of a complex array of interrelated trends to build a coherent story of how the promise of the democratized Internet ended up under the control of just a few. Read The New Goliaths to see how the forest came to have only room for a few tall trees with the rest of us in the undergrowth."—Joshua Gans, coauthor of Prediction Machines: The Simple Economics of Artificial Intelligence Historically, competition has powered progress under capitalism. Companies with productive new products rise to the top, but sooner or later, competitors come along with better innovations and disrupt the threat of monopoly. Dominant firms like Walmart, Amazon, and Google argue that this process of "creative destruction" prevents them from becoming too powerful or entrenched. But the threat of competition has sharply decreased over the past twenty years, and today's corporate giants have come to power by using proprietary information technologies to create a tilted playing field. This development has increased economic inequality and social division, slowed innovation, and allowed dominant firms to evade government regulation. In the face of increasing calls to break up the largest companies, James Bessen argues that a better way to restore competitive balance and dynamism is to encourage or compel these companies to share technology, data, and knowledge

Intro -- Preface -- Contents -- Artificial Intelligence Research -- Methods of Neural Network Modeling of Clusterization of Taxpayers to Determine Credit Risk by a Financial Regulator -- 1 Introduction -- 2 Data and Methodology -- 2.1 Methodology for the Formation of a Set of Factors and a Generalized Indicator in the Clustering Problem -- 2.2 Classical Bankruptcy Prediction Models -- 3 Study Result -- 3.1 Economic and Mathematical Modeling Concept -- 4 Conclusions -- References -- Machine Learning Approach on Burnout - The Case of Principals from Southern Israel -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 4 Machine Learning in Burnout Estimation -- 5 Results and Conclusions -- References -- Big Data and Data Mining -- A Data Mining Analysis of Cross-Regional Study of Apparel Consumption -- 1 Introduction -- 2 Literature Review -- 2.1 Cross-National Studies and Demographic Factors -- 2.2 Cue Utilization Theory -- 2.3 Consumer Innovativeness -- 2.4 Fashion Information Sources -- 3 Research Method -- 4 Data Analysis and Findings -- 4.1 Association Analysis -- 4.2 Frequent Item Sets -- 4.3 Generate Strong Association Role -- 5 Conclusion and Limitations -- References -- Blockchain and Cryptocurrency -- Portfolio Optimization with Investment in Cryptocurrencies -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Empirical Data and Analysis -- 5 Results and Discussion -- 6 Conclusion -- References -- Modeling the Dynamics of the Value of Digital Financial Assets Using the Example of Bitcoin, Ethereum and Ripple -- 1 Introduction -- 2 Literature Review -- 3 Choosing a Predictive Model -- 4 Forecasting the Value of Cryptocurrencies -- 5 Conclusion -- References -- Business, Finance and Accounting and Statistics -- Insights from Some Governments' Budget Functional Expenditures for the Fifteen Years: 2005-2019.

"Impacts and Implications of COVID-19: An Analytical and Empirical Study describes the most recent research developments regarding COVID-19. This book includes a wide range of interdisciplinary submissions that address the latest findings regarding a wide variety of psychological, social, managerial, and technological issues for fighting COVID-19. Chapter One discusses how machine learning applies to prediction, forecasting, screening, contact tracing, treatment, medication and the drug or vaccine invention process in connection with COVID-19. Chapter Two deals with immunomodulatory therapy for clinical management of COVID-19 patients. Chapter Three describes the importance of social distancing and the development of a tool to detect social distancing. Chapter Four discusses the impact of COVID-19 on the education sector, and Chapter Five focuses on the impacts of COVID-19 on employment, e-commerce, and e-pharmacies. Chapter Six gives an insight into the policies regarding COVID-19 in India, and Chapter Seven compares vaccine candidates based on their status in trial phases, route of administration, dosage, efficacy, and safety. Chapter Eight explores how the pandemic has impacted human communication and relationships, as people have been forced to interact in the digital space rather than the physical one. Chapter Nine describes the urgent need to devise sustainable and effective strategies to mitigate the problems relating to shortages of labor and equipment in the agricultural sector due to the pandemic. Finally, Chapter Ten describes the role of physical therapy in the recovery of COVID-19 patients"--

Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Chapter 1: Introduction -- References -- Chapter 2: Delimitation of the Problem -- 2.1 Understanding the Internet -- 2.2 Social Networks: Basic Facts -- 2.3 The ``Facebook Generation´´ -- 2.4 Data Gathered and Processed Through Social Networks -- 2.4.1 Data Actively Provided to Facebook by Its Users -- 2.4.2 Metadata -- 2.4.3 Big Data -- 2.5 Privacy Concerns Arising from Social Networks and the Concept of Privacy -- References -- Chapter 3: Conflicting Claims, Claimants, Identifications and Bases of Power -- 3.1 The Claim to Freedom of Communication and Access to Information -- 3.2 The Claim to Economic Benefit -- 3.3 The Claim to Privacy and Data Autonomy -- 3.4 The Claim to Unlimited Freedom of the Internet -- 3.5 The Claim to Protect National and International Security -- References -- Chapter 4: Past Trends in Decision and Conditioning Factors -- 4.1 The General Legal Protection of Privacy -- 4.1.1 Domestic Law -- 4.1.1.1 The United States of America -- 4.1.1.2 Countries Within Europe -- The Federal Republic of Germany -- The United Kingdom -- 4.1.1.3 Latin American Countries -- 4.1.2 International Law -- 4.1.2.1 Treaty Law -- 4.1.2.2 Customary International Law -- 4.2 The Protection of Privacy in the Context of Electronic Communications -- 4.2.1 Domestic Law -- 4.2.1.1 The United States -- 4.2.1.2 Countries Within Europe -- The Federal Republic of Germany -- The United Kingdom -- Other European Countries -- 4.2.1.3 Latin American Countries -- The Argentine Republic -- The Federative Republic of Brazil -- The Republic of Colombia -- The Dominican Republic -- The United Mexican States -- The Oriental Republic of Uruguay -- 4.2.2 General Data Protection Regulation (GDPR) -- References -- Chapter 5: Predictions -- References.

Intro -- Preface -- Contents -- Chapter 1: Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus -- 1.1 Introduction -- 1.1.1 Scope of the Study -- 1.2 Related Works -- 1.2.1 Radio Frequency Identification -- 1.2.2 Wireless Sensor Network -- 1.2.3 Contact Tracing -- 1.2.4 COVID-19 Laboratory Tests -- 1.2.5 Thoracic Imaging -- 1.3 Smart Technology Applications -- 1.3.1 The Strategic Approaches -- 1.3.1.1 Prepare and Be Ready -- 1.3.1.2 Protect and Reduce Transmission -- 1.3.1.3 Identify and Treat -- 1.3.1.4 Innovate and Learn -- 1.3.2 Smart Technologies for COVID-19 -- 1.3.2.1 Smart HandWashing and Sanitizer -- 1.3.2.2 Non-Contact Infrared Thermometer -- 1.3.2.3 Smart Wireless Biosensors -- 1.3.2.4 VivaLnk Temperature Sensor -- 1.3.2.5 Kinsa Smart Thermometer -- 1.3.2.6 EarlySense -- 1.3.2.7 Autonomous Vehicle Technology (AVT) -- 1.3.2.8 Robots -- 1.3.2.9 Artificial Intelligent -- 1.3.2.10 Drones -- 1.3.3 Importance and Benefit -- 1.3.3.1 Social Media and Wireless Communication Technology -- 1.3.3.2 Digital Health Technology -- 1.3.3.3 Autonomous Vehicle Technology -- 1.3.4 Challenges and Limitations -- 1.3.4.1 Social Media -- 1.3.4.2 Contact Tracing -- 1.3.4.3 Drones -- 1.3.4.4 AVT -- 1.4 Conclusion -- References -- Chapter 2: A Review on COVID-19 -- 2.1 Introduction -- 2.1.1 Origin -- 2.2 Research on Safety Precautions -- 2.2.1 Law and Limit of Quarantine [5] -- 2.2.2 A Mathematical Framework to Optimize Border Control to Stop the Global Spread [7] -- 2.2.3 Result -- 2.2.4 H1N1 Case Study Model Calibration -- 2.2.5 Shortcomings -- 2.3 Testing -- 2.3.1 Viral Test -- 2.3.2 Antibody Test -- 2.3.2.1 Detection of COVID-19 Using Chest Radiography Images [9] -- 2.3.2.2 Computational Prediction of Protein Structure Associated with COVID-19 -- 2.3.3 AlphaFold -- 2.3.4 Using a Neural Network to Predict Physical Properties [11].

Intro -- Preface -- Contents -- The Data-Centric Lab: A Pharmaceutical Perspective -- 1 Introduction -- 2 Background -- 3 Roadblocks on the Path into the Digital Age -- 4 Opportunities and Business Benefits of Entering the Digital Age -- 4.1 New Insight Generation: Advanced Analytics -- 4.2 Clearer Communication: Data-Centric Architecture -- 4.3 Remove All Boundaries: Improved Collaboration -- 4.4 Trust in the Digital Age: Regulatory Compliance -- 4.5 Learning from Other Industries: Digital Maturity Models -- 5 Conclusion -- References -- Model for Estimating the Optimal Parameter Values of the Scoring Matrix in the Entity Resolution of Unstandardized References -- 1 Introduction -- 2 The ER Model -- 3 Summary of Prior Research -- 4 Predicting the Critical Parameters -- 5 Evaluation of the Prediction Models -- 6 Conclusion and Future Work -- References -- Anonymity in COVID-19 Online Donations: A Cross-Cultural Analysis on Fundraising Platforms -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 3.1 Sampling -- 3.2 Procedure -- 4 Findings -- 4.1 GoFundMe Donors Tend to be Self-identified While Kitabisa Donors Tend to be Anonymous -- 4.2 Anonymous and Self-identified Donors Donate Similar Amount of Money on GoFundMe While Anonymous Donors Donate Significantly Less Money than Self-identified Donors on Kitabisa -- 4.3 Anonymous Donors Donate Significantly More on GoFundMe than on Kitabisa, While the Opposite is True for Self-identified Donations -- 5 Conclusion -- 5.1 Limitations and Future Work -- References -- Informatics Based Study on Acoustic Doppler Current Profiler Dataset -- 1 Introduction -- 1.1 ADCP -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data Collection -- 3.2 Data Processing -- 3.3 Principal Component Analysis -- 3.4 K-means Clustering.