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• Foreword / Miranda Feliciano Tyson
• The age of inference / John R. McConnell, Sarah B. Dugger, and Philip C. Short
• Nature of the scientific enterprise / Harvey Henson
• The nature of science education : relativity of theory / Philip C. Short
• Mathematics : language, modeling, and comparison assisting inference / Mary Barone Martin, Tammy Jones, Dovie Kimmins, and Teresa Schmidt
• Statistics : developing impactful teaching and learning / Mary Barone Martin, Tammy Jones, and Teresa Schmidt
• Statistics : assessing success in the inference process / Mary Barone Martin, Tammy Jones, and Teresa Schmidt
• Children's literature resources to support authentic science practices and environmental decision-making : The conservation tales series / Tom J. McConnell and Barbara Giorgio-Booher
• Supporting statistical literacies in the context of a data visualization project with elementary students / Lynn Hodge, Joy Bertling, and Shande King
• Green literacy K-5 : nurturing a scientific mindset / Jen Cullerton Johnson and Mary K. Gove
• Complex multimodal text sets to support science literacy / William Romine, Amy Lannin, Torrey Palmer, Delinda van Garderen, Rachel Juergensen, Cassandra M. Smith, and William Folk
• Power up or put away? Using mobile phones for authentic student investigations / Kristin T. Rearden and Blanche O'Bannon
• Self-regulated learning theory to build scientific mindsets for diversity in STEM / Giuseppina Mattietti and Erin E. Peters-Burton
• A case for the model-based reasoning classroom / Arthur Beauchamp and Cynthia Passmore
• Cultivating a scientific mindset through inquiry-based science learning utilizing nasa resources for educators / Leslie Huling and Virginia Resta
• Bridging the disconnect between how we do and teach science : cultivating a scientific mindset in an era of data-driven education / Jana Bouwma-Gearhart
• The scientific method card game : applications for any educational context / Kallina M. Dunkle
• Toward a design-centered scientific mindset : closing the opportunity gaps via 3D design and printing in STEM teacher education / Lingguo Bu, Harvey Henson, and Euginia Nyirenda
• Developing critical literacy skills among diverse learners during the age of inference / Laveria F. Hutchison
• Content and pedagogical knowledge for teaching confidence intervals in a post p < 0.05 world / Jennifer J. Kaplan and Kristen E. Roland
• The multidimensional learning goals for making inferences with data / Ryan Seth Jones, Anna Strimaitis Grinath, and Fonya Scott
• Expectations and disciplinary blends / L. Jeneva Clark, R. Alexander Bentley, Nicholas N. Nagle, and Vasileios Maroulas
• Machine learning : a new lens for integrating computational thinking and science in the high school classroom / Michael Daley, Zhen Bai, Raffaella Borasi, and Dave Miller
• Becoming a postmodern STEM teacher leader in the age of inference / Rebekah Hammack
• Seeking homeostasis in a heteroscedastic world : a sense of the stakes in the age of inference / Philip C. Short, Donna F. Short, and John R. McConnell

In an age where we are inundated with information, the ability to discern verifiable information to make proper decisions and solve problems is ever more critical. Modern science, which espouses a systematic approach to making "inferences, " requires a certain mindset that allows for a degree of comfort with uncertainty. This book offers inspirations and ideas for cultivating the proper mindset for the studying, teaching, and practicing of science that will be useful for those new to as well as familiar with the field. Although a paradigm shift from traditional instruction is suggested in the National Framework for K-12 science, this volume is intended to help educators develop a personal mental framework in which to transition from a teacher-centered, didactical approach to a studentcentered, evidence-guided curriculum. While the topics of the book derive from currently published literature on STEM education as they relate to the National Framework for K-12 Science and the Three-Dimensional science instruction embedded in the Next Generation Science Standards, this book also examines these topics in the context of a new societal age posited as the "Age of Inference" and addresses how to make sense of the ever-increasing deluge of information that we are experiencing by having a scientific and properly discerning mindset.
(source: Nielsen Book Data)

• Data Science: Systems.- Big Data Management for Policy Support in Sustainable Development.- Development of the Research Data Archive at OIST.- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery.- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data.- DATA SCIENCE: Architectures.- Autonomous real-time science-driven follow-up of survey transients.- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe.- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer.- Cosmic density field reconstruction with a sparsity prior using images of distant galaxies.- Big Data Analytics in Domain-Specific Systems.- Blockchain Enabled System for Interoperable Healthcare.- Skin cancer recognition for low resolution images.- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System.- Journey of Database Migration From RDBMS to NoSQL Data Stores.- Information Interchange of Web Data Resources.- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems.- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR.- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs.- Experimenting with Assamese Handwritten Character Recognition.- Business Analytics.- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing.- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer.- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment.- Approximate Query Processing with Error Guarantees. .
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9, 2021.The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
(source: Nielsen Book Data)

• Introduction: Design Make Play for Equity, Inclusion, and Agency
• Harouna Ba, Katherine McMillan Culp, and Margaret Honey
• Part I Designing for Visitors' Agency
• Chapter 1 Designing for Agency in Informal STEM Learning Environments
• Susan M. Letourneau
• Chapter 2 From Explaining to Engaging Visitors: Transforming the Facilitator's Role
• Priya Mohabir, Dorothy Bennett, C. James Liu, and Daisy Tetecatl
• Chapter 3 Narratives, Empathy, and Engineering: Creating Inclusive Engineering Activities
• Susan M. Letourneau, Dorothy Bennett, Amelia Merker, Satbir Multani, C. James Liu, Yessenia Argudo, and Dana Schloss
• Chapter 4 Co-Designing Learning Dashboards for Informal Educators
• Elham Beheshti, Leilah Lyons, Aditi Mallavarapu, Wren Thompson, Betty Wallingford, and Stephen Uzzo
• Part II Relinquishing Power and Authority in Informal Settings
• Chapter 5 Museum-Community Engagement to Support STEM Learning
• Andres Henriquez and Marcia Bueno
• Chapter 6 Big Data for Little Kids: Developing an Inclusive Program for Young Learners and Their Families
• C. James Liu, Kate Maschak, Delia Meza, Susan M. Letourneau, and Yessenia Argudo
• Chapter 7 Designing Maker Programs for Family Engagement
• David Wells, Susan M. Letourneau, and Samantha Tumolo
• Chapter 8 Innovation Institute: Follow the Youth
• David Wells, Elham Beheshti, and Danny Kirk
• Part III Playing and Learning Across Settings
• Chapter 9 See, Touch, and Feel Math: Digital Design for English Language Learners
• Dorothy Bennett, Tara Chudoba, Xiomara Flowers, and Heidi Slouffman
• Chapter 10 Learning Physics through Embodied Play in a School Setting
• Harouna Ba, Christina O'Malley, Yessenia Argudo, and Laycca Umer
• Chapter 11 Integrating Computational Thinking Across the Elementary Curriculum: A Professional Development Approach
• Anthony Negron
• Chapter 12 The Pack: Playfully Embodying Computational and Systems Thinking
• Leilah Lyons, Stephen Uzzo, Harouna Ba, and Wren Thompson.
• (source: Nielsen Book Data)

This pioneering book offers a resource for educators, policymakers, researchers, exhibit designers, and program developers that illuminates creative, cutting-edge ways to inspire, engage, and motivate young people about STEM learning in both informal and formal education settings. A follow-up to the popular book Design, Make, Play (2013), this volume combines new research, innovative case studies, and practical advice from the New York Hall of Science (NYSCI) to define and illustrate a vision for creative and immersive learning, focusing on STEM learning experiences that are truly equitable and inclusive, and that foster learners' agency. Featuring contributions from program developers, facilitators, educators, exhibit designers, and researchers, the book provides real-world examples from informal and formal settings that fill the need for high-quality STEM learning opportunities that are accessible to all learners, including groups underrepresented in STEM education and careers. Chapters of the book describe strategies such as using narratives to make engineering learning more inclusive, engaging English language learners in digital design, focusing on whole-family learning, and introducing underserved students to computational thinking through an immersive computer game. This book offers both a challenge and a guide to all STEM educators in museums, science centers, and other informal and formal education settings who are seeking out ambitious and more equitable forms of engagement. With leading-edge research and practical advice, the book provides appealing and accessible forms of engagement that will support a diverse range of audiences and deepen their approach to creative STEM learning.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Symmetries and conservation theorems
• 2.1. Symmetry : a brief historical introduction
• 2.2. Symmetry in science
• 2.3. Symmetries in dynamic systems
• 2.4. From symmetry to gauge theory
• 2.5. Conclusion

• 3. Spontaneous symmetry breaking
• 3.1. Symmetry breaking
• 3.2. Historical overview and early evolution
• 3.3. Symmetry breaking in particle physics
• 3.4. Condensed matter, superfluidity and Bose-Einstein condensate
• 3.5. Spontaneously broken global symmetry
• 3.6. Higgs mechanism

• 4. Explicit symmetry breaking and electromagnetic radiation
• 4.1. Explicit symmetry breaking of electrodynamic systems
• 4.2. Electromagnetic radiation under non-conserved Noether current
• 4.3. Explicit symmetry breaking and free electron lasers
• 4.4. Electromagnetic radiation under explicit symmetry breaking of filter circuits

• 5. Symmetry breaking in transformation of force fields
• 5.1. Introduction
• 5.2. Broken symmetry in electrodynamic systems, Gauge symmetry and radiation
• 5.3. Symmetry breaking and reversibility

• 6. Piezoelectric antennas
• 7. Radiation from a superconducting loop
• 7.1. Superconducting antennas
• 7.2. Experimental setup
• 7.3. Results
• 7.4. Analysis

• 8. Broken symmetries in thermodynamics
• 8.1. Introduction
• 8.2. Entropy changes under potential gradients
• 8.3. Entropy production
• 8.4. Entropy changes under symmetry breaking
• 8.5. Entropy reduction in dissipative systems
• 8.6. Conclusion

The book aims to unravel some of the nature's mysteries by correlating the nature of fields and the transformations in their symmetries. It begins with a brief background on the foundation of symmetry and its meaning in fields such as architecture, mathematics, and physics. A special focus of the book is on the concept of symmetries in electromagnetism and explicit symmetry breaking which generates radiation. Despite the extensive developments of the concept of broken symmetry in different domains of physics, it has yet to be applied within the context of classical electromagnetism and related engineering applications in a broader context. The main audience for the book includes industry specialists and scientists working in the field of antennas and wireless technologies. The book is also highly useful to research scientists working within electromagnetics

• Intro
• Preface
• Contents
• Editors and Contributors
• A Bandwidth-Efficient and Quick Response Traffic Congestion Control QoS Approach for VANET in 6G
• 1 Introduction
• 2 Types of Communication in VANET
• 3 Literature Survey
• 4 Traffic Congestion Control QoS (TCCQ) Approach for Better Bandwidth Utilization
• 4.1 Steps for Bandwidth Utilization and Quick Traffic Response
• 4.2 Flowchart of TCCQ
• 5 Simulation Parameters
• 6 Result Description
• 6.1 Throughput Analysis and Overhead Analysis
• 6.2 PDR Analysis and Overall Analysis
• 7 Conclusion and Future Work
• References

• A Comparative Study on Evolution of Natural Language Processing and Natural Language Understanding
• 1 Introduction
• 1.1 Natural Language Processing (NLP)
• 1.2 Natural Language Understanding (NLU)
• 1.3 Objective of the Study
• 2 System and Materials
• 2.1 Glance of Study
• 3 Analysis and Discussion
• 4 Conclusion
• References
• A Dynamic Online Shopping Website for Incorporating Different Business in a Single Platform
• 1 Introduction
• 2 Literature Survey
• 3 Proposed Work
• 4 Result and Discussion
• 5 Conclusion
• References

• A Greedy Load Balancing Strategy with Optimal Constraints for Edge Computing in Industrial Cloud Environment
• 1 Introduction
• 2 Hybrid Optimization Techniques in Cloud Load Balancing
• 3 Greedy Search Awareness Fuzzy Schedule
• 4 Results and Discussion
• 5 Conclusions
• References
• A Novel Approach for a Vision-Based Physical Distancing Monitoring System for COVID-19 Using Deep Learning Techniques
• 1 Introduction
• 2 Related Work
• 3 Proposed System
• 3.1 Algorithm
• 3.2 Proposed System Approach
• 4 Experimental Setup
• 5 Result
• 6 Conclusion and Future Work
• References

• A Review of Network Optimization on the Internet of Things
• 1 Introduction
• 1.1 Motivation
• 1.2 M2M, IoT, and IoE
• 2 Network Optimization
• 2.1 Network Optimization in IoT
• 3 Discussion on for IoT Network Optimization
• 3.1 Network Routing
• 3.2 Heterogeneity
• 3.3 Scalability
• 3.4 Quality of Service (QoS)
• 3.5 Security
• 4 Literature Survey
• 5 Conclusion
• References
• A Study on Social Engineering Attacks in Cybersecurity
• 1 Introduction
• 2 Social Engineering Attacks
• 2.1 Attacks Classification
• 3 Prevention Mechanisms
• 4 Mitigation Mechanisms
• 5 Comparison

• 6 Challenges
• 7 Conclusion
• References
• A Study on the Performance of the Faculty Members and Its Impact on Their Academic Rating during the Pandemic Wave One Period
• 1 Introduction
• 1.1 Review of Literature
• 1.2 Research Methodology
• 1.3 Findings
• 1.4 Limitations
• 1.5 Conclusion
• 1.6 Suggestions
• References
• A Survey on Various Techniques and Proposals for Improving the Cryptocurrency Protocol
• 1 Introduction
• 2 Literature Survey
• 3 Results Chart
• 4 Future Work
• 5 Conclusion
• References

This book features a collection of high-quality, peer-reviewed research papers presented at the 9th International Conference on Innovations in Computer Science & Engineering (ICICSE 2021), held at Guru Nanak Institutions, Hyderabad, India, on September 3-4, 2021. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks.
(source: Nielsen Book Data)

• 1. Introduction
• 2. What is knowledge anyway? Obtaining clarity on knowledge and its role in society
• 3. An anti-intellectual approach to knowledge and learning
• 4. Design as a problem for school that reveals the problem of school
• 5. The uses and abuses of science and technology
• 6. The interaction of human and non-human agency
• 7. Rethinking education for social change.
• (source: Nielsen Book Data)

- Offers a curriculum perspective on making - Connects contemporary issues of innovation and makerspaces to the needs of students - Helps demystify the role of innovation in education - Written for those wishing to carry out effective making in the classroom and beyond.
(source: Nielsen Book Data)

• Overview of research
• Research integrity
• How to select research topics
• Literature review and formulating a problem
• How to generate research ideas
• How to design algorithms
• How to do experiments
• How to write a paper
• Paper submission and publication
• Reference and research impact
• Resource, advisor, and time management
• Critical remarks and chapters recap.

"Engineering and science research can be difficult for beginners because scientific research is fraught with constraints and disciplines. Research and Technical Writing for Science and Engineering breakdowns the entire process of conducting engineering and scientific research. This book covers those fascinating guidelines and topics on conducting research, as well as how to better interact with your advisor. Key Features: advice on conducting a literature review, conducting experiments, and writing a good paper summarizing your findings. provides a tutorial on how to increase the impact of research and how to manage research resources. By reflecting on the cases discussed in this book, readers will be able to identify specific situations or dilemmas in their own lives, as the authors provide comprehensive suggestions based on their own experiences"-- Provided by publisher

• Preface Acknowledgement List of Figures and Tables Notes on Contributors
• PART 1: STEAM Education Perspectives 1 Introduction: Transformative STEAM Education for Sustainable Development: Beyond Traditional STEM Education Elisabeth (Lily) Taylor and Peter Charles Taylor
• 2 Ethical Dilemma Story Pedagogy: Values Learning and Ethical Understanding for a Sustainable World Elisabeth (Lily) Taylor
• 3 Why Are We Teaching Factorisation at a Time When the Planet Is Getting Hotter Every Year? Conceiving STEAM Education through an East-West Symbiosis Bal Chandra Luitel
• PART 2: STEAM Teacher Education Practices 4 Transformative Teacher Education for Sustainability: From STEM to STE(A)M Elisabeth (Lily) Taylor
• 5 STEAM Focused Problem-Based Learning: Building Trust Rachel Sheffield and Michelle de Kok
• 6 Chemistry Teacher Education for Sustainability: Ethical Dilemma STEAM Teaching Model Yuli Rahmawati and Alin Mardiah
• 7 Dancing with Mathematics: An Auto
• (source: Nielsen Book Data)

We are currently experiencing an unprecedented era in the history of the planet. Our addiction to fossil fuels and powerful technologies is dangerously altering the Earth's natural systems, giving rise to well-documented global crises of climate change, plastic pollution of the oceans, and tragic loss of biocultural diversity. These crises have created a unique challenge for STEM educators, given that STEM disciplinary knowledge and skills are often viewed as the panacea to the world's economic and environmental problems. This popular view tends to focus narrowly, however, on students learning scientific, technological, engineering and mathematical concepts about the world out there, thereby ignoring the crucial role education must play in shaping students' attitudes and values - their inner worlds - that drive moral agency to live and work in sustainable ways. It is moral agency that empowers socially and environmentally responsible citizens to tackle global crises. In this timely book you will read inspiring stories of how professional educators in STEM-related fields have embraced transformative learning and arts education to develop and implement integrated STEAM education programs and practices that are preparing young people with special capabilities and values to actively contribute to the sustainable development of a world in crisis.
(source: Nielsen Book Data)

• 1. Blind image watermarking with efficient dual restoration feature / Rishi Sinhal, Tarun Kumar Sharma, Irshad Ahmad Ansari and Varun Bajaj
• 2. Secure, robust and imperceptible image watermarking scheme based on sharp frequency localized contourlet transform / Esmaeil Najafi
• 3. Content watermarking and data hiding in multimedia security / Jay Gohil, Jay Patel and Manan Shah
• 4. Recent advances in reversible watermarking in an encrypted domain / Hanzhou Wu
• 5. An analysis of deep steganography and steganalysis / Mahdie Abazar, Peyman Masjedi, Ali Ghorbani, Mohammad Taheri and Seyed Mostafa FakhrAhmad
• 6. Recent trends in reversible data hiding techniques / V.M. Manikandan
• 7. Anatomized study of security solutions for multimedia : deep learning-enabled authentication, cryptography and information hiding / Ameya Kshirsagar and Manan Shah
• 8. New lightweight image encryption algorithm for the Internet of Things and wireless multimedia sensor networks / Amina Msolli, Abdelhamid Helali, Hassen Maaref and Ridha Mghaieth
• 9. Applying the capabilities of machine learning for multimedia security : an analysis / Suja Cherukullapurath Mana and T. Sasipraba
• 10. Assistive communication technology options for elderly care / Marjo Rissanen and Antti Rissanen
• 11. Deep learning approach for scenario-based abnormality detection / M. Suresha, S. Kuppa and D.S. Raghu Kumar
• 12. Ear recognition for multimedia security / Sagar G. Sangodkar, Niranjan Suthar, Akash Palde, Parmeshwar Birajadar and Vikram M. Gadre
• 13. Secure multimedia management : currents trends and future avenues / Vishal Rajput and Sunil Kumar Jauhar

Modern internet-enabled devices and fast communication technologies have ushered in a revolution in sharing of digital images and video. This may be for social reasons or for commercial and industrial applications. Attackers can steal this data or manipulate it for their own uses, causing financial and emotional damage to the owners. This drives the need for advanced security solutions and the need to continuously develop and maintain security measures in an ever-evolving battle against fraud and malicious intent. There are various techniques employed in protecting digital media and information, such as digital watermarking, cryptography, stenography, data encryption, and more. In addition, sharing platforms and connected nodes themselves may be open to vulnerabilities and can suffer from security breaches. This book reviews present state-of-the-art research related to the security of digital imagery and video, including developments in machine learning applications. It is particularly suited for those that bridge the academic world and industry, allowing readers to understand the security concerns in the multimedia domain by reviewing present and evolving security solutions, their limitations, and future research directions

• Foreword / Miranda Feliciano Tyson
• The age of inference / John R. McConnell, Sarah B. Dugger, and Philip C. Short
• Nature of the scientific enterprise / Harvey Henson
• The nature of science education : relativity of theory / Philip C. Short
• Mathematics : language, modeling, and comparison assisting inference / Mary Barone Martin, Tammy Jones, Dovie Kimmins, and Teresa Schmidt
• Statistics : developing impactful teaching and learning / Mary Barone Martin, Tammy Jones, and Teresa Schmidt
• Statistics : assessing success in the inference process / Mary Barone Martin, Tammy Jones, and Teresa Schmidt
• Children's literature resources to support authentic science practices and environmental decision-making : The conservation tales series / Tom J. McConnell and Barbara Giorgio-Booher
• Supporting statistical literacies in the context of a data visualization project with elementary students / Lynn Hodge, Joy Bertling, and Shande King
• Green literacy K-5 : nurturing a scientific mindset / Jen Cullerton Johnson and Mary K. Gove
• Complex multimodal text sets to support science literacy / William Romine, Amy Lannin, Torrey Palmer, Delinda van Garderen, Rachel Juergensen, Cassandra M. Smith, and William Folk
• Power up or put away? Using mobile phones for authentic student investigations / Kristin T. Rearden and Blanche O'Bannon
• Self-regulated learning theory to build scientific mindsets for diversity in STEM / Giuseppina Mattietti and Erin E. Peters-Burton
• A case for the model-based reasoning classroom / Arthur Beauchamp and Cynthia Passmore
• Cultivating a scientific mindset through inquiry-based science learning utilizing nasa resources for educators / Leslie Huling and Virginia Resta
• Bridging the disconnect between how we do and teach science : cultivating a scientific mindset in an era of data-driven education / Jana Bouwma-Gearhart
• The scientific method card game : applications for any educational context / Kallina M. Dunkle
• Toward a design-centered scientific mindset : closing the opportunity gaps via 3D design and printing in STEM teacher education / Lingguo Bu, Harvey Henson, and Euginia Nyirenda
• Developing critical literacy skills among diverse learners during the age of inference / Laveria F. Hutchison
• Content and pedagogical knowledge for teaching confidence intervals in a post p < 0.05 world / Jennifer J. Kaplan and Kristen E. Roland
• The multidimensional learning goals for making inferences with data / Ryan Seth Jones, Anna Strimaitis Grinath, and Fonya Scott
• Expectations and disciplinary blends / L. Jeneva Clark, R. Alexander Bentley, Nicholas N. Nagle, and Vasileios Maroulas
• Machine learning : a new lens for integrating computational thinking and science in the high school classroom / Michael Daley, Zhen Bai, Raffaella Borasi, and Dave Miller
• Becoming a postmodern STEM teacher leader in the age of inference / Rebekah Hammack
• Seeking homeostasis in a heteroscedastic world : a sense of the stakes in the age of inference / Philip C. Short, Donna F. Short, and John R. McConnell.

In an age where we are inundated with information, the ability to discern verifiable information to make proper decisions and solve problems is ever more critical. Modern science, which espouses a systematic approach to making "inferences, " requires a certain mindset that allows for a degree of comfort with uncertainty. This book offers inspirations and ideas for cultivating the proper mindset for the studying, teaching, and practicing of science that will be useful for those new to as well as familiar with the field. Although a paradigm shift from traditional instruction is suggested in the National Framework for K-12 science, this volume is intended to help educators develop a personal mental framework in which to transition from a teacher-centered, didactical approach to a studentcentered, evidence-guided curriculum. While the topics of the book derive from currently published literature on STEM education as they relate to the National Framework for K-12 Science and the Three-Dimensional science instruction embedded in the Next Generation Science Standards, this book also examines these topics in the context of a new societal age posited as the "Age of Inference" and addresses how to make sense of the ever-increasing deluge of information that we are experiencing by having a scientific and properly discerning mindset.
(source: Nielsen Book Data)

• Foreword by Deborah Santiago
• Introduction: An Asset-Based Approach to Advancing Latina Students in STEM: Increasing Resilience, Participation, and Success
• Elsa M. Gonzalez and Miranda Wilson
• PART 1: Examining Literature, Theory, and Data to Inform Policy
• Chapter 1: Latinas in STEM: A Review of the Literature Using a Psychosociocultural Lens
• Kristan M. Venegas and Araceli Espinoza-Wade
• Chapter 2: Developing A Conceptual Framework for Computing Identity Development for Latina Undergraduate Students
• Sarah L. Rodriguez, Charles Lu, and Daisy Ramirez
• Chapter 3: The Pathway to the PhD: Latinas as STEM Doctorates from 1975-2010
• Frank Fernandez, Hyun Kyoung Ro, Miranda Wilson, and Veronica Crawford
• Chapter 4: "Cuida Tu Casa y Deja la Ajena": Focusing on Retention as a Self-Perpetuating Engine for Recruiting Latina Faculty in STEM
• Aurora Kamimura
• Chapter 5: How Many Latinas in STEM Benefit from High-Impact Practices? Examining Participation by Social Class and Immigrant Status
• Sanga Kim, Selyna Perez Beverly, and Hyun Kyoung Ro
• PART 2: Reading (Hearing) Testimonios of Latinas in STEM
• Chapter 6: Empowering Latina STEM Majors at a Public R1 Doctoral University and Hispanic-Serving Institution in Texas: Strategies for Success
• Elsa M. Gonzalez, Mauricio Molina, and Sarah Churchill Turner
• Chapter 7: First-Generation Latina Engineering Students' Aspirational Counterstories
• Tamara T. Coronella
• Chapter 8: Latinas Undergraduates in Engineering/Computer Science on the US-Mexico Border: Identity, Social Capital, and Persistence
• Erika Mein, Helena Mucino Guerra, and Lidia Herrera-Rocha
• Chapter 9: "I Learned How to Divide at 25": A Counter-Narrative of How one Latina's Agency and Resilience Lead Her Towards an Engineering Pathway
• Dina Verdin
• Chapter 10: Leadership through the Lenses of Latinas: Undergraduate College Students in STEM-Related Disciplines at Regional HSIs
• Hilda Cecilia Contreras Aguirre, Rosa Banda, and Elsa M. Gonzalez
• Chapter 11: "There Was Something Missing": How Latinas Construct Compartmentalized Identities in STEM
• Ariana L. Garcia, Blanca Rincon, and Juanita K. Hinojosa
• Afterword: Six Steps Forward for Studying Diversity, Equity, and Inclusion in STEM
• Frank Fernandez
• .
• (source: Nielsen Book Data)

This timely volume challenges the ongoing underrepresentation of Latina women in science, technology, engineering and mathematics (STEM), and highlights resilience as a critical communal response to increasing their representation in degree programs and academic posts. An Asset-Based Approach to Advancing Latina Students in STEM documents the racialized and gendered experiences of Latinas studying and researching in STEM in US colleges, and centers resilience as a critical mechanism in combating deficit narratives. Adopting an asset-based approach, chapters illustrate how Latinas draw on their cultural background as a source of individual and communal strength, and indicate how this cultural wealth must be nurtured and used to inform leadership and policy to motivate, encourage, and support Latinas on the pathway to graduate degrees and successful STEM careers. By highlighting strategies to increase personal resilience and institutional retention of Latina women, the text offers key insights to bolstering diversity in STEM. This text will primarily appeal to academics, scholars, educators, and researchers in the fields of STEM education. It will also benefit those working in broader areas of higher education and multicultural education, as well as those interested in the advancement of minorities inside and outside of academia. Elsa M. Gonzalez is Assistant Professor of Higher Education at the University of Houston, USA. Frank Fernandez is Assistant Professor of Higher Education at the University of Mississippi, USA. Miranda Wilson earned a Ph.D. in Higher Education Leadership and Policy Studies at the University of Houston, USA.
(source: Nielsen Book Data)

• Why better, more equitable science education should be a national priority
• A vision for better, more equitable science education
• How far are we from this vision for all students?
• How do we get there?
• Recommendations
• How can we learn from these efforts?
• In conclusion
• References
• For further reading
• Committee member biosketches
• Acknowledgments

Scientific thinking and understanding are essential for all people navigating the world, not just for scientists and other science, technology, engineering and mathematics (STEM) professionals. Knowledge of science and the practice of scientific thinking are essential components of a fully functioning democracy. Science is also crucial for the future STEM workforce and the pursuit of living wage jobs. Yet, science education is not the national priority it needs to be, and states and local communities are not yet delivering high quality, rigorous learning experiences in equal measure to all students from elementary school through higher education. Call to Action for Science Education: Building Opportunity for the Future articulates a vision for high quality science education, describes the gaps in opportunity that currently exist for many students, and outlines key priorities that need to be addressed in order to advance better, more equitable science education across grades K-16. This report makes recommendations for state and federal policy makers on ways to support equitable, productive pathways for all students to thrive and have opportunities to pursue careers that build on scientific skills and concepts. Call to Action for Science Education challenges the policy-making community at state and federal levels to acknowledge the importance of science, make science education a core national priority, and empower and give local communities the resources they must have to deliver a better, more equitable science education. Table of Contents Front Matter Summary Introduction Why Better, More Equitable Science Education Should Be a National Priority A Vision for Better, More Equitable Science Education How Far Are We from This Vision for All Students? How Do We Get There? Recommendations How Can We Learn from These Efforts? In Conclusion References For Further Reading Committee Member Biosketches Acknowledgments.
(source: Nielsen Book Data)

• Introduction.- Application in the frontier research of science and technology.- Progress of e-Science in major projects.- Achievements of informatization in interdisciplinary.
• (source: Nielsen Book Data)

"China's e-Science Blue Book 2020" has been jointly compiled by the Chinese Academy of Sciences, Cyberspace Administration of China, Ministry of Education of the PRC, Ministry of Science and Technology of the PRC, China Association for Science and Technology, Chinese Academy of Social Sciences, National Natural Science Foundation of China and the Chinese Academy of Agricultural Sciences. It was focusing on the new situation, new progress and new achievements of China's e-Scientific in the past two years. During the "13th Five-Year Plan" period, Chinese scholars make full use of advanced information technology to carry out scientific research work, and have achieved a series of major scientific and technological achievements. This book has collected 28 research reports about China's e-Science application in the past two years to introduce the application in the frontier research of science and technology, the progress of e-Science in major projects and the achievements of informatization in interdisciplinary. As such it provides a valuable reference resource for researchers and students in this area and promotes further e-Science research.
(source: Nielsen Book Data)

• List of Figures List of Tables Preface Glossary of Terms Continuous Random Variables Rectangular Distribution Exponential Distribution Beta Distribution Arcsine Distribution Gamma Distribution Cosine Distribution Normal Distribution Cauchy Distribution Bibliography Authors' Biographies Index.
• (source: Nielsen Book Data)

This is an introductory book on continuous statistical distributions and its applications. It is primarily written for graduate students in engineering, undergraduate students in statistics, econometrics, and researchers in various fields. The purpose is to give a self-contained introduction to most commonly used classical continuous distributions in two parts. Important applications of each distribution in various applied fields are explored at the end of each chapter. A brief overview of the chapters is as follows. Chapter 1 discusses important concepts on continuous distributions like location-and-scale distributions, truncated, size-biased, and transmuted distributions. A theorem on finding the mean deviation of continuous distributions, and its applications are also discussed. Chapter 2 is on continuous uniform distribution, which is used in generating random numbers from other distributions. Exponential distribution is discussed in Chapter 3, and its applications briefly mentioned. Chapter 4 discusses both Beta-I and Beta-II distributions and their generalizations, as well as applications in geotechnical engineering, PERT, control charts, etc. The arcsine distribution and its variants are discussed in Chapter 5, along with arcsine transforms and Brownian motion. This is followed by gamma distribution and its applications in civil engineering, metallurgy, and reliability. Chapter 7 is on cosine distribution and its applications in signal processing, antenna design, and robotics path planning. Chapter 8 discusses the normal distribution and its variants like lognormal, and skew-normal distributions. The last chapter of Part I is on Cauchy distribution, its variants and applications in thermodynamics, interferometer design, and carbon-nanotube strain sensing. A new volume (Part II) covers inverse Gaussian, Laplace, Pareto, 𝜒 2, T, F, Weibull, Rayleigh, Maxwell, and Gumbel distributions.
(source: Nielsen Book Data)

• List of Figures List of Tables Preface Glossary of Terms Continuous Random Variables Rectangular Distribution Exponential Distribution Beta Distribution Arcsine Distribution Gamma Distribution Cosine Distribution Normal Distribution Cauchy Distribution Bibliography Authors' Biographies Index.
• (source: Nielsen Book Data)

This is an introductory book on continuous statistical distributions and its applications. It is primarily written for graduate students in engineering, undergraduate students in statistics, econometrics, and researchers in various fields. The purpose is to give a self-contained introduction to most commonly used classical continuous distributions in two parts. Important applications of each distribution in various applied fields are explored at the end of each chapter. A brief overview of the chapters is as follows. Chapter 1 discusses important concepts on continuous distributions like location-and-scale distributions, truncated, size-biased, and transmuted distributions. A theorem on finding the mean deviation of continuous distributions, and its applications are also discussed. Chapter 2 is on continuous uniform distribution, which is used in generating random numbers from other distributions. Exponential distribution is discussed in Chapter 3, and its applications briefly mentioned. Chapter 4 discusses both Beta-I and Beta-II distributions and their generalizations, as well as applications in geotechnical engineering, PERT, control charts, etc. The arcsine distribution and its variants are discussed in Chapter 5, along with arcsine transforms and Brownian motion. This is followed by gamma distribution and its applications in civil engineering, metallurgy, and reliability. Chapter 7 is on cosine distribution and its applications in signal processing, antenna design, and robotics path planning. Chapter 8 discusses the normal distribution and its variants like lognormal, and skew-normal distributions. The last chapter of Part I is on Cauchy distribution, its variants and applications in thermodynamics, interferometer design, and carbon-nanotube strain sensing. A new volume (Part II) covers inverse Gaussian, Laplace, Pareto, 𝜒 2, T, F, Weibull, Rayleigh, Maxwell, and Gumbel distributions.
(source: Nielsen Book Data)

• List of Figures List of Tables Preface Glossary of Terms Inverse Gaussian Distribution Birnbaum--Saunders Distribution Pareto Distribution Laplace Distribution Central Chi-squared Distribution Student's &#x1d683
• Distribution &#x1d675
• Distribution Weibull Distribution Rayleigh Distribution Maxwell Distribution Gumbel Distribution Bibliography Authors' Biographies Index.
• (source: Nielsen Book Data)

This is the second part of our book on continuous statistical distributions. It covers inverse-Gaussian, Birnbaum-Saunders, Pareto, Laplace, central X2, T, F, Weibull, Rayleigh, Maxwell, and extreme value distributions. Important properties of these distribution are documented, and most common practical applications are discussed. This book can be used as a reference material for graduate courses in engineering statistics, mathematical statistics, and econometrics. Professionals and practitioners working in various fields will also find some of the chapters to be useful. Although an extensive literature exists on each of these distributions, we were forced to limit the size of each chapter and the number of references given at the end due to the publishing plan of this book that limits its size. Nevertheless, we gratefully acknowledge the contribution of all those authors whose names have been left out. Some knowledge in introductory algebra and college calculus is assumed throughout the book. Integration is extensively used in several chapters, and many results discussed in Part I (Chapters 1 to 9) of our book are used in this volume. Chapter 10 is on Inverse Gaussian distribution and its extensions. The Birnbaum-Saunders distribution and its extensions along with applications in actuarial sciences is discussed in Chapter 11. Chapter 12 discusses Pareto distribution and its extensions. The Laplace distribution and its applications in navigational errors is discussed in the next chapter. This is followed by central chi-squared distribution and its applications in statistical inference, bioinformatics and genomics. Chapter 15 discusses Student's T distribution, its extensions and applications in statistical inference. The F distribution and its applications in statistical inference appears next. Chapter 17 is on Weibull distribution and its applications in geology and reliability engineering. Next two chapters are on Rayleigh and Maxwell distributions and its applications in communications, wind energy modeling, kinetic gas theory, nuclear and thermal engineering, and physical chemistry. The last chapter is on Gumbel distribution, its applications in the law of rare exceedances.
(source: Nielsen Book Data)

Maybe you have a good grasp of disciplinary core ideas and science and engineering practices-critical parts of the Next Generation Science Standards-but you are looking for more resources about integrating crosscutting concepts (CCCs). Or maybe you understand CCCs but want to know more about how to make them part of your students' toolkit for exploring science phenomena or engineering problems, both now and in the future. Regardless of your needs, Crosscutting Concepts is your guide. It shows how to design and implement three-dimensional instruction for all students by understanding the potential of CCCs to strengthen science and engineering teaching and learning. Crosscutting Concepts helps you do the following: Grasp the foundational issues that undergird crosscutting concepts. You'll find out how CCCs can change your instruction, engage your students, and broaden access and inclusion of all students into your science classroom. Gain in-depth insights into individual crosscutting concepts. You'll learn how to use each CCC across disciplines, understand the challenges students face in learning CCCs, and adopt exemplary teaching strategies. Discover how CCCs can strengthen the way you teach key topics in science. These topics include the nature of matter, plant growth, and weather and climate, as well as engineering design. Understand related implications for science teaching. These topics include student assessment and teacher professional collaboration. Throughout Crosscutting Concepts, vignettes drawn from the authors' own classroom experiences will help you put theory into practice. Instructional Applications show how CCCs can strengthen your planning. Classroom Snapshots feature practical ways to use CCCs in discussions and lessons. Useful for teachers at all grade levels, this book will enrich your own understanding while showing you how to use CCCs for both classroom teaching and real-world problem solving.
(source: Nielsen Book Data)

• Automatic Standardization of Data based on Machine Learning and Natural Language Processing.- Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network.-APPLICATION OF BAYESIAN AUTOMATED HYPERPARAMETER TUNING ON CLASSIFIERS PREDICTING CUSTOMER RETENTION IN BANKING INDUSTRY.- Quantum Machine Learning: A Review and Current Status.- Survey of Transfer Learning and a Case Study of Emotion Recognition using Inductive Approach.- An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold.
• (source: Nielsen Book Data)

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17-19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. .
(source: Nielsen Book Data)

• Structural Relationship Between Environmental Uncertainty, Dynamic Capacity and Business Performance in Smart Supply Chain Environment.- Analysis of the Relative Importance of Coaching Service Quality.- Determinants of Technology-Based Self-Service Acceptance.- Study on Security and Privacy of E-Government Services.- Applying Hofstede's Culture Theory in the Comparison between Vietnam and Korean E-government Adoption.- 3D Printing Signboard Production using 3D Modeling Design.- Design of Artificial Intelligence for Smart Risk Pre-Review System at the KC EMC.- Regularized Categorical Embedding for Effective Demand Forecasting of Bike Sharing System.- Research on Implementation of User Authentication Based on Gesture Recognition of Human.
• (source: Nielsen Book Data)

This edited book presents scientific results of the International Semi-Virtual Workshop on Data Science and Digital Transformation in the Fourth Industrial Revolution (DSDT 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference's most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science. .
(source: Nielsen Book Data)

A peer-reviewed, multi-disciplinary, open access journal affiliated with the E Scholarly Community Encyclopedia (www.encyclopedia.pub) intended to highlight research articles and reviews originally posted on the parent platform

• Section 1. Chapter 1. A voice from the field: one teacher's perspective on educator-scientist-student partnerships ; Chapter 2. Meet them where they are (a perspective that works both ways): reflections on scientist-educator collaborations
• Section 2. Chapter 3. The role of the knowledgeable other in student-scientist-teacher partnerships: examining triads in second grade classrooms ; Chapter 4. "The way i think about scientists has changed": measuring the impact of virtual scientists on middle school students' perceptions of scientists ; Chapter 5. Enriching the lives of high school teenagers with science caf©♭s ; Chapter 6. Learning about the authentic nature of scientific work from professional scientists: preparation for research participation and mentoring
• Section 3. Chapter 7. An interdisciplinary model to diversify STEM participation: college, high school, and industry partnerships ; Chapter 8. University students: schoolteacher partnership with newly developed technologies ; Chapter 9. Connecting pre-service teachers to astronauts and the international space station through an educational downlink: an out-of-this-world experience
• Section 4. Chapter 10. Training students to conduct outreach in an informal science learning environment ; Chapter 11. Real-world connections with conservation science through zoos and aquariums ; Chapter 12. The potential for science centers in student-teacher-scientist partnerships: explorations from one museum

"This book will serve as a resource for those in STEM education, both in formal settings and informal settings and bring together all different kinds of student- scientist- teacher partnerships programs with research documentation in one source"-- Provided by publisher

• Data Science.- ICTs Applications.- Industry 4.0.- Technology and Environment.- Biomedical Sensors and Wearables Systems.
• (source: Nielsen Book Data)

This book constitutes refereed proceedings of the 9th Conference on Information and Communication Technologies of Ecuador, TICEC 2021, held at the Universidad Politecnica Salesiana (UPS) campus in November 2021. The conference was organized in hybrid mode. The 24 full papers were carefully reviewed and selected from 126 qualified submissions. The papers cover a great variety of topics, such as data mining, neural networks, cyberphysical systems, telemedicine, traffic simulation, geospatial information, human-machine interaction, cloud computing, and others. The contributions are divided into the following thematic blocks: Data Science, ICTs Applications, Industry 4.0, Technology and Environment, Biomedical Sensors and Wearables Systems. .
(source: Nielsen Book Data)

• Part I. Blockchain and Cryptocurrency
• Part II. Computer Law and Security
• Part III. Digital Accounting and Auditing
• Part IV. Digital Business and Finance
• Part V. Digital Education
• Part VI. Digital Engineering
• Part VII. Machine learning
• Part VIII. Smart Cities in Digital Age
• Part IX. Health Policy and Management
• Part X. Information management.

This book presents the proceedings of the 2020 International Conference on Integrated Science in Digital Age, which was jointly supported by the Institute of Certified Specialists (Russia) and Springer, and was held on May 1-3, 2020. The conference provided an international forum for researchers and practitioners to present and discuss the latest innovations, trends, results, experiences and concerns in the various areas of integrated science in the digital age. The main goal of the conference was to efficiently disseminate original findings in the natural and social sciences, covering topics such as blockchain & cryptocurrency; computer law & security; digital accounting & auditing; digital business & finance; digital economics; digital education; digital engineering; machine learning; smart cities in the digital age; health policy & management; and information management.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Setting the Stage: Why Is Convergence Important?
• 3. Overview of National Center for Science and Engineering Statistics Data Collections, Data Products, and Its Previous Work in This Area
• 4. Conceptualizing Convergence
• 5. Convergence as Practiced
• 6. Outcomes and Impacts of Convergence
• 7. Measurement Efforts
• 8. Feasibility and Implementation
• 9. Summary of Key Themes and Thoughts to Move the Work Forward
• Appendix A: Workshop Agenda
• Appendix B: Biographical Sketches of the Steering Committee Members and Workshop Speakers
• Committee on National Statistics.

This Proceedings of a Workshop summarizes the presentations and discussions at the Workshop on the Implications of Convergence for How the National Center for Science and Engineering Statistics (NCSES) Measures the Science and Engineering Workforce, which was held virtually and livestreamed on October 22-23, 2020. The workshop was convened by the Committee on National Statistics to help NCSES, a division of the National Science Foundation, set an agenda to inform its methodological research and better measure and assess the implications of convergence for the science and engineering workforce and enterprise. The workshop brought together scientists and researchers from multiple disciplines, along with experts in science policy, university administration, and other stakeholders to review and provide input on defining and measuring convergence and its impact on science and scientists.
(source: Nielsen Book Data)

• Global Optimization Approach for the Ascent Problem of Multi-stage Launchers
• A Robust Predictive Control Formulation for Heliogyro Blade Stability
• Piecewise Polynomial Taylor Expansions-The Generalization of Faà di Bruno's Formula
• Grid-Enhanced Polylithic Modeling and Solution Approaches for Hard Optimization Problems
• Model Predictive Q-Learning (MPQ-L) for Bilinear Systems
• SCOUT: Scheduling Core Utilization to Optimize the Performance of Scientific Computing Applications on CPU/Coprocessor-Based Cluster
• Chainer-XP: A Flexible Framework for ANNs Run on the Intel® Xeon PhiTM Coprocessor
• Inverse Problems in Designing New Structural Materials
• Coupled Electromagnetic Field and Electric Circuit Simulation: A Waveform Relaxation Benchmark
• SCIP-Jack: An Exact High Performance Solver for Steiner Tree Problems in Graphs and Related Problems
• Physical Parameter Identification with Sensors or Actuators Spanning Multiple DOF's
• Monotonization of a Family of Implicit Schemes for the Burgers Equation
• The Insensitivity of the Iterative Learning Control Inverse Problem to Initial Run When Stabilized by a New Stable Inverse
• Strategy Optimization in Sports via Markov Decision Problems
• An Application of RASPEN to Discontinuous Galerkin Discretisation for Richards' Equation in Porous Media Flow
• On the Development of Batch Stable Inverse Indirect Adaptive Control of Systems with Unstable Discrete-Time Inverse
• An Improved Conjugate Gradients Method for Quasi-linear Bayesian Inverse Problems, Tested on an Example from Hydrogeology
• Idiosyncrasies of the Frequency Response of Discrete-Time Equivalents of Continuous-Time System.

This proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam, during March 19-23, 2018. The conference has been organized by the Institute of Mathematics of the Vietnam Academy of Science and Technology, the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University and the Vietnam Institute for Advanced Study in Mathematics. The contributions cover a broad, interdisciplinary spectrum of scientific computing and showcase recent advances in theory, methods, and practical applications. Subjects covered include numerical simulation, methods for optimization and control, machine learning, parallel computing and software development, as well as the applications of scientific computing in mechanical engineering, airspace engineering, environmental physics, decision making, hydrogeology, material science and electric circuits.
(source: Nielsen Book Data)

• Existence Results for Impulsive Partial Functional Fractional Differential Equation with State Dependent Delay.- A Novel Method for Solving Nonlinear Jerk Equations.- Solving a New Type of Fractional Differential Equation by Reproducing Kernel Method.- An Efficient Approach for the Model of Thrombin Receptor Activation Mechanism with Mittag-Leffler Function.- Stability Analysis of Bifurcated Limit Cycles in a Labor Force Evolution Model.- Existence and Uniqueness Results of Fractional Differential Equations with Fuzzy Data.- Approximate Efficient Solutions of Nonsmooth Vector Optimization Problems Via Approximate Vector Variational Inequalities.- Existence of Entropy Solutions for Anisotropic Elliptic Nonlinear Problem in Weighted Sobolev Spaces.- Well-posedness and Stability for the Viscous Primitive Equations of Geophysics in Critical Fourier-Besov-Morrey Spaces.- Regional controllability of a Class of Time-Fractional Systems.- Quadratic Optimal Control for Bilinear Systems.- Regional Observability of Linear Fractional Systems Involving Riemann-Liouville Fractional Derivative.- Stability Analysis of Fractional Differential Systems Involving Riemann-Liouville derivative.- Deformed Joint Free Distributions of Semicircular Elements Induced by Multi Orthogonal Projections.
• (source: Nielsen Book Data)

This book is a collection of original research papers as proceedings of the 6th International Congress of the Moroccan Society of Applied Mathematics organized by Sultan Moulay Slimane University, Morocco, during 7th-9th November 2019. It focuses on new problems, applications and computational methods in the field of nonlinear analysis. It includes various topics including fractional differential systems of various types, time-fractional systems, nonlinear Jerk equations, reproducing kernel Hilbert space method, thrombin receptor activation mechanism model, labour force evolution model, nonsmooth vector optimization problems, anisotropic elliptic nonlinear problem, viscous primitive equations of geophysics, quadratic optimal control problem, multi-orthogonal projections and generalized continued fractions. The conference aimed at fostering cooperation among students, researchers and experts from diverse areas of applied mathematics and related sciences through fruitful deliberations on new research findings. This book is expected to be resourceful for researchers, educators and graduate students interested in applied mathematics and interactions of mathematics with other branches of science and engineering. .
(source: Nielsen Book Data)

• Introduction: OST Programs as STEM Support for Females, Lynda R.Wiest, Heather Glynn Crawford-Ferre, and Jafeth E. Sanchez. FEMMES STEM Program for Girls, Kathy Ziyue Dai, Nina Kuprasertkul, and Deborah Liu. Expanding Your Horizons: An Out-of-School-Time STEM Conference for Girls, Judith Iriarte-Gross, Myra Norman, and Monika Whitfield. STEM for Girls: A One-Day Event to Improve Girls' Attitudes Toward STEM, Julia S. Ribeiro, Michelle E. Kossack, and Tina Jeoh. Girls in Engineering, Math, and Science (GEMS): A Successful Program for Middle School Girls and College Women in Southwest Florida, Zanna Beharry, Katie Johnson, and Laura Frost. Science Technology Engineering Preview Summer (STEPS) at the University of St. Thomas, Deborah Besser and AnnMarie Thomas. The Girls in STEM Program, Sean Hill and Jafeth E. Sanchez. Tech Savvy: The Difference a Day Makes to Facilitate STEM Interest in Girls and the Adults in Their Lives, Tamara E. Brown. Exploring the Impact of Out-of-School STEM Experiences for Girls, Jacqueline D. Spears, Chardie L. Baird, and Beth A. Montelone. Conclusion: Short-Term OST STEM Programs for Females, Lynda R. Wiest, Heather Glynn Crawford-Ferre, and Jafeth E. Sanchez. About the Editors. About the Contributors.
• (source: Nielsen Book Data)

Vol. II: Short-Term Programs features eight OST STEM programs for females from across the United States that run oneto three days in length, in most cases, a single day. In this book, the chapter authors describe their programs, the effectiveness of those programs, and practical implications of their program evaluation data. This book series is the first of its kind to offer researchers, educators, school administrators, policy makers, and others detailed insight intothe promise and practice of out-of-school-time STEM programs for females. Science, technology, engineering, and mathematics (STEM) disciplines play a pivotal role in societal progress and economic prosperity, in addition to enhancing individual lives. However, U.S. students lack strong STEM performance in an international context. The pool of STEM-proficient workers is thus insufficient to fuel the nation, with females being one group that is noticeably absent. Out-of-school-time (OST) programs, which are on the rise, are increasingly suggested as a way to support andencourage underrepresented groups in STEM. Participants in OST programs have shown improved achievement, interest, and confidence in STEM, as well as greater awareness of STEM role models and careers.
(source: Nielsen Book Data)

When covid-19 struck, we know that people stopped commuting to work and traveling. But what insights about these changes can we get from publicly available data? In this coding session, Reuven Lerner (author of "Pandas Workout") will explore data from New York taxis before and during the pandemic.

• Introductory Concepts of Metaheuristic Computation
• A Metaheuristic Scheme Based on the Hunting Model of Yellow Saddle Goatfish
• Metaheuristic Algorithm Based on Hybridization of Invasive Weed Optimization asnd Estimation Distribution Methods
• Corner Detection Algorithm Based on Cellular Neural Networks (CNN) and Differential Evolution (DE)
• Clustering Model Based on the Human Visual System
• Metaheuristic Algorithms for Wireless Sensor Networks
• Metaheuristic Algorithms Applied to the Inventory Problem.

This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand. .
(source: Nielsen Book Data)

• Preface
• 1. STEM and Literature: Exploring New Options - Gloria D. Campbell-Whatley and Diane Rodriguez From Mainstreaming to Inclusion: The Journey Begins The Birth of Multi-Tiered Support Systems (MTSS) Students with Disabilities in the Urban Environment The Benefits of STEM and Literature Summary and Other Tidbits
• 2. Culturally Responsive Problem Based Learning (CRPBL) - Gloria D. Campbell-Whatley and Richard Reynolds PBLs Best Practices: Finding Solutions Innovations in Instruction for Problem Based Learning in STEM Culturally Responsive Teaching Culturally Responsive PBL (CRPBL) Summary: Recommendations for Teachers
• 3. Selection of Reading Materials, Technology, and STEM Activities - Diane Rodriguez, Jugnu Agrawal, Justin Coles, and Gary Hoag Using Literature to Teach STEM in the Interdisciplinary Classroom: Selecting a Book Using High Leverage Practices and Strategies for Students with Disabilities Supporting Learning in Virtual Environment/Distance Learning Summary
• 4. Science and Literature - Gloria Campbell-Whatley, Kim Reddig, and Deondra Gladney Science and Literature for Adolescents Careers Teachers Application Tips Summary of Lessons Lesson 4
• .1: Science Vocabulary, The Twilight Saga Lesson 4
• .2: Science on Cells, The Immortal Life of Henrietta Lacks Lesson 4
• .3: Science and Clean Water, The Boy Who Harnessed the Wind Lesson 4
• .4: Medicine and Drugs, Percy Jackson and the Lightning Thief Lesson 4
• .5: Gravity, Weight, and Mass, Ender's Game Lesson 4
• .6: Respiratory System, After Earth Lesson 4
• .7: Genetics, Gattaca Lesson 4
• .8: Energy, The Matrix Lesson 4
• .9: Desert Plants and Animals, Holes Lesson 4
• .10: Assistive Technology, Star Wars
• 5. Mathematics and Literature - Jugnu Agrawal, Gary Hoag, Ozalle Toms, Ann Jolly, Elizabeth Reyes, and Ashley Voggt Mathematics and Adolescents Teacher Application Tips Careers Lesson Plans Lesson 5
• .1: Statistics and Probability, To Kill a Mockingbird Lesson 5
• .2: Basic Algebra and Statistics, The Hunger Games Lesson 5
• .3: Business Plan, Born a Crime Lesson 5
• .4: Geometry and Calculus, Hidden Figures Lesson 5
• .5: Mysticism of the Pyramids, The Giver Lesson 5
• .6: Weather Mathematics, The Chronicles of Narnia Lesson 5
• .7: Geometry, Flatland
• 6. Engineering and Literature - Diane Rodriguez, Gloria Campbell-Whatley, Kevin Otero , Hassan Payano, Maria Payano, Eileen Interiano, and Sharon Hunter Engineering for Adolescents Careers Tips for Teachers Summary of Lessons Lesson 6
• .1: Engineering Robotics, The Maze Runner Lesson 6
• .2: Engineering Construction and Building, Harry Potter Lesson 6
• .3: Drone Engineering, Men in Black Lesson 6
• .4: Engineering Trains, The Snowpiercer Lesson 6
• .5: Satellite Engineering, Star Trek Lesson 6
• .6: Engineering Cyborgs, The Terminator Lesson 6
• .7: Software Engineering, Jumanji Lesson 6
• .8: Aerospace Engineering, Minority Report Lesson 6
• .9: Engineering and Space Travel, The Martian Lesson 6
• .10: Biofuels, Back to the Future
• 7. Technology and Literature - Jugnu Agrawal and Wen-Hsuan Chang Technology Related Careers Teacher Application Tips Summary of the Unit Lesson 7
• .1: Identifying Credible Sources, Hidden Figures Lesson 7
• .2: The Use of Citation sand Presentations, Hidden Figures Lesson 7
• .3: Making use of Digital Media, Hidden Figures Lesson 7
• .4: Using Technology to Update Writing Products, Hidden Figures Lesson 7
• .5: Digital Citizenship and Technology Integration, Hidden Figures Lesson 7
• .6: Webcams and Identifying Central Themes, Hidden Figures Lesson 7
• .7: Digital Footprint, Hidden Figures Lesson 7
• .8: Assistive Technology Innovations, Hidden Figures Lesson 7
• .9: Digital Story Telling, Hidden Figures Lesson 7
• .10: 3D Print, Hidden Figures Index About the Authors.
• (source: Nielsen Book Data)

This innovative STEAM guide will help general and special education teachers to increase effective instruction with adolescents (grades 5-10). The authors show teachers how to link STEM concepts with popular fiction and film selections as a catalyst to launch student interactions, discussions, projects, and investigations. This approach will promote problem solving and reasoning skills by initiating the scientific process, rather than simply presenting established facts. The book includes a wealth of lesson plans that connect abstract STEM ideas to realistic experiences that students encounter. Sample lessons call on students to produce drawings and models that move STEM to STEAM. Grounded in popular film and the 31 books most read by adolescent students, the text includes teaching strategies found to be effective with traditionally underserved students and those with disabilities.Book Features: Standards-based STEM lessons are interrelated and interwoven with writing, reading, speaking, and other skills. Practical ideas and hands-on activities for engaging adolescents in both traditional and virtual environments. Guidance for working with diverse populations, such as students with different abilities, culturally and linguistic diverse students, translingual students, and transnational students. Includes full lessons, templates, and handouts.
(source: Nielsen Book Data)

• Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches.- Application and Perspectives of Convolutional Neural Networks in Digital Intelligence.- Obstacle Awareness Subsystem for Higher Exoskeleton Safety.- Knowledge-Based Approaches to Intelligent Data Analysis.- Intelligent Analysis of Data Streams.- Large Astronomical Time Series Pre-processing for Classification using Artificial Neural Networks.- Requirements for Information Modelling in Manufacturing.- Attribute exploration in formal concept analysis and measuring of pupils' computational thinking.- Flower Master Index for relational database selection and joining.
• (source: Nielsen Book Data)

This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them. The book's subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data and information modeling techniques (Part III).
(source: Nielsen Book Data)

This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22-23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 2 presents papers on the theme "Advances in Decision Sciences, Image Processing, Security and Computer Vision - International Conference on Emerging Trends in Engineering (ICETE)". It includes state-of-the-art technical contributions in the areas of electronics and communication engineering and electrical and electronics engineering, discussing the latest sustainable developments in fields such as signal processing and communications; GNSS and VLSI; microwaves and antennas; signal, speech and image processing; power systems; and power electronics

• Introduction.- The Use of Cloud Computing for Engineering Applications.- From the office to the cloud, why should you care?.- Generating a Model.- Building a Prototype.- Motion Studies.- MATLAB PRIMER.- Shell Installation.
• (source: Nielsen Book Data)

This book explains the use of cloud computing systems for engineering applications to satisfy the need for enterprise level, state-of-the-art computational capacities at an affordable cost. As huge costs are involved in the maintenance and timely renovation of computational capabilities, particularly for projects that require significant computational capacity, cloud services can achieve considerable savings for users and organizations engaged in engineering research and development. Dr. Stradi-Granados explains how to extract a maximum value from every dollar invested in cloud computer server. The types of facilities located around the world that lease their resources to customers interested in reducing the internal overhead and implementation time. The volume features chapters on model generation, motion studies, and prototyping is ideal for students, researchers, practitioners, and facility's managers across a range of engineering domains.
(source: Nielsen Book Data)

• Introduction to the Finite Element Method.- Rods and Trusses.- Euler-Bernoulli Beams and Frames.- Timoshenko Beams.- Plane Elements.- Classical Plate Elements.- Three-Dimensional Elements.- Principles of Linear Dynamics.- Integration Methods for Transient Problems.- Appendix A: Mathematics.- Appendix B: Mechanics.- Appendix C: Units and Conversion.- Appendix D: Summary of Stiffness Matrices.
• (source: Nielsen Book Data)

This book is the 2nd edition of an introduction to modern computational mechanics based on the finite element method. It includes more details on the theory, more exercises, and more consistent notation; in addition, all pictures have been revised. Featuring more than 100 pages of new material, the new edition will help students succeed in mechanics courses by showing them how to apply the fundamental knowledge they gained in the first years of their engineering education to more advanced topics. In order to deepen readers' understanding of the equations and theories discussed, each chapter also includes supplementary problems. These problems start with fundamental knowledge questions on the theory presented in the respective chapter, followed by calculation problems. In total, over 80 such calculation problems are provided, along with brief solutions for each. This book is especially designed to meet the needs of Australian students, reviewing the mathematics covered in their first two years at university. The 13-week course comprises three hours of lectures and two hours of tutorials per week.
(source: Nielsen Book Data)

• Intro
• Preface
• Contents
• Acronyms
• List of Figures
• Chapter 1: Introduction to the Data Science Framework
• 1.1 About Data Science
• 1.2 About the EDISON Project
• 1.3 About EDISON Data Science Framework (EDSF)
• 1.4 About This Book
• Chapter 2: Data Science Competences
• 2.1 Overview of Frameworks for Computer Science and Data Science Competences Definitions
• 2.1.1 Big Data Interoperability Framework, NIST NBDIF
• 2.1.2 e-Competence Framework, e-CF
• 2.1.3 Information Technology Competency Model, ACM IT-CM
• 2.1.4 OŔeilly Strata Industry Research

• 2.1.5 Other Studies, Reports and Projects on Defining Data Science Competences
• 2.2 Definition of Data Science Competences, Skills and Knowledge
• 2.2.1 3-Dimensional Competences Model
• 2.2.1.1 CF-DS Competences
• 2.2.1.2 CF-DS Skills
• 2.2.1.3 Knowledge Topics
• 2.2.2 Data Analytics Competences, Skills and Knowledge (DSDA)
• 2.2.3 Data Engineering Competences, Skills and Knowledge (DSDEG)
• 2.2.4 Data Management Competences, Skills and Knowledge (DSDM)
• 2.2.5 Research Methods and Project Management Competences, Skills and Knowledge, DSRPM

• 2.2.6 Domain-Specific Competences Group (DSDK)
• 2.3 Data Science Additional Skills
• 2.3.1 Group B Skills
• 2.3.2 Transversal Skills
• 2.3.2.1 Data Science Professional or Attitude Skills (DSPS) (Thinking and Acting Like a Data Scientist)
• 2.3.2.2 Twenty-First-Century Skills (SK21) (Aka ``Soft ́́Skills)
• Chapter 3: Data Science Body of Knowledge
• 3.1 Overview of Related Bodies of Knowledge
• 3.1.1 Computer Science Body of Knowledge (ACM-IEEE CS-BoK)
• 3.1.2 Foundational Information and Communication Technologies Body of Knowledge (EC ICT-BoK)

• 3.1.3 Software Engineering Body of Knowledge (IEEE SWEBOK)
• 3.1.4 Business Analytics Body of Knowledge (IIBA BABOK)
• 3.1.5 Data Management Body of Knowledge (DAMA DMBOK)
• 3.1.6 Project Management Professional Body of Knowledge (PMBOK)
• 3.2 Definition of a Data Science Body of Knowledge (DS-BoK)
• 3.2.1 Data Analytics Knowledge Area Group (KAG1-DSDA)
• 3.2.1.1 Statistical Methods Knowledge Area
• 3.2.1.2 Machine Learning Methods Knowledge Area
• 3.2.1.3 Data Mining Knowledge Area
• 3.2.1.4 Text Data Mining Knowledge Area
• 3.2.1.5 Predictive Analytics Knowledge Area

• 3.2.1.6 Computational Modelling, Simulation and Optimisation Knowledge Area
• 3.2.2 Data Engineering Knowledge Area Group (KAG2-DSENG)
• 3.2.2.1 Big Data Infrastructure and Technologies Knowledge Area
• 3.2.2.2 Infrastructure and Platforms for Data Science Applications Knowledge Area
• 3.2.2.3 Cloud Computing Technologies for Big Data and Data Analytics Knowledge Area
• 3.2.2.4 Data and Applications Security Knowledge Area
• 3.2.2.5 Big Data Systems Organisation and Engineering Knowledge Area
• 3.2.2.6 Data Science (Big Data) Applications Design Knowledge Area

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

• 1. Maxwell's equations, potentials, and boundary conditions
• 1.1. The time-domain Maxwell's equations
• 1.2. Frequency domain Maxwell's equations
• 1.3. Field determination by radial components

• 2. Electrostatics and magnetostatics
• 2.1. Energy related theorems in electrostatics
• 2.2. Principle of virtual displacement for static fields
• 2.3. Theorems related to harmonic functions

• 3. Gauge invariance for electromagnetic fields
• 3.1. Gauge invariance for general material media
• 3.2. Gauge invariance in homogenized media

• 4. Causality and dispersion
• 4.1. Causal systems
• 4.2. Dispersive systems
• 4.3. Causal properties of scattering amplitude

• 5. Uniqueness, energy, and momentum
• 5.1. Uniqueness theorem
• 5.2. Energy and momentum

• 6. Duality principle and Babinet's principle
• 6.1. Duality principle and Babinet's principle

• 7. Electromagnetic reciprocity
• 7.1. Reciprocity theorems in the frequency and time domains
• 7.2. Compensation theorem

• 8. Reactance theorems
• 8.1. Reactance theorems for networks and antennas

• 9. Geometrical optics and Fermat's principle
• 9.1. Geometrical optics and Fermat's principle
• 9.2. Gradient metasurfaces and the generalized Snell's law

• 10. Integral field representations
• 10.1. Integral representation of fields
• 10.2. Integral equations, physical optics, and Bojarski's identity

• 11. Induction theorem and optical theorem
• 11.1. Induction and forward scattering theorems

• 12. Eigenfunctions, Green's functions, and completeness
• 12.1. Hilbert space
• 12.2. Sturm-Liouville problem and Green's functions
• 12.3. Classification of operators and their properties
• 12.4. Sum of two commutative operators

• 13. Electromagnetic degrees of freedom
• 13.1. DoF between communicating volumes in free space
• 13.2. Antenna gain limitations due to finite DoF

• 14. Projection slice theorem and computed tomography
• 14.1. Radon transform and projection slice theorem
• 14.2. Computed tomography

• 15. Free-space Green's function and its application in various coordinates
• 15.1. Various forms of the free-space Green's function
• 15.2. Canonical problems in various coordinate systems

• 16. Asymptotic analysis
• 16.1. Branch cuts for wave propagation
• 16.2. Complex waves
• 16.3. Asymptotic evaluation of integrals
• 16.4. Examples in wave propagation
• 16.5. Modified saddle point technique

• 17. Covariant formulation of Maxwell's equations
• 17.1. Preliminaries of tensor calculus
• 17.2. The covariant form of Maxwell's equations in Euclidean pseudo-space
• 17.3. Maxwell's equations in an arbitrary spacetime
• 17.4. Covariant form of Maxwell's equations in stationary matter
• 17.5. Transformational electromagnetics

• 18. Maxwell's equations in the sense of distributions
• 18.1. Preliminaries of distributions
• 18.2. Derivation of boundary conditions using distributions

• 19. Stochastic representations of wave phenomena
• 19.1. Preliminaries of stochastic calculus
• 19.2. Stochastic processes and Brownian motion
• 19.3. Itô integral and Itô-Doeblin formula
• 19.4. Solution of PDEs by stochastic technique, Feynman-Kac formulas

Engineering Electrodynamics: A collection of theorems, principles, and field representations deals with key theorems and principles that form the pillars on which engineering electromagnetics rests. In contrast to previous books, the emphasis here is on the underlying mathematical theme that binds these specific geometries. The relevant background material for the understanding of the various theorems is included in the book. After the theorems and principles are expounded, detailed examples are worked out, which further shed light on the those involved. This book also includes comprehensive material on some recent developments such as transformational electromagnetics. Detailed account on relevant complex variable theory, Bessel functions, and associated Legendre functions in the appendices make this book self-contained and suitable for graduate and advanced study

• Part I - Introduction
• 1. Research and Development
• 2. Process and Preparation Part II - Project Organization
• 3. The Project Hierarchy
• 4. The Project Task Part III - Knowledge Representation
• 5. An Epistemological Journey
• 6. Categories and Types of Knowledge
• 7. Roles of Knowledge Propositions
• 8. The Limits of Knowledge Part IV - The Scientific Method
• 12. Overview
• 13. Analysis
• 14. Hypothesis
• 15. Synthesis
• 16. Validation Appendices Index.
• (source: Nielsen Book Data)

Getting it Right: R&D Methods for Science and Engineering, Second Edition, is an authoritative guide to the methodologies that produce coherent and complete R&D projects. Based on the author's experience in large industrial firms, this book addresses the avoidance of common pitfalls that engineers and scientists routinely face in industry and academia. Special emphasis is placed on the comprehensive analysis of project problems, requirements, objectives, the use of standard and consistent terminology and procedures, the design of rigorous and reproducible experiments, the appropriate reduction and interpretation of project results, and the effective communication of project design, methods, results, and conclusions, embedded in a clear and modern framework of the Scientific Method. This fully updated new edition also includes an extended case study from industry, additional material about the evolution of knowledge and science and technology and a special focus on the discovery and nurture of technical innovation, both of which reinforce the importance of adherence to the described methodology in both academic and industrial venues. Professional engineers and researchers will find a highly consistent and practical reference for the rigorous conduct and clear communication of complex R&D projects. Students will also find a palatable introduction to the critical concepts of knowing, doing, and Getting it Right.
(source: Nielsen Book Data)

• Part I - Introduction
• 1. Research and Development
• 2. Process and Preparation Part II - Project Organization
• 3. The Project Hierarchy
• 4. The Project Task Part III - Knowledge Representation
• 5. An Epistemological Journey
• 6. Categories and Types of Knowledge
• 7. Roles of Knowledge Propositions
• 8. The Limits of Knowledge Part IV - The Scientific Method
• 12. Overview
• 13. Analysis
• 14. Hypothesis
• 15. Synthesis
• 16. Validation Appendices Index.
• (source: Nielsen Book Data)

Getting it Right: R&D Methods for Science and Engineering, Second Edition, is an authoritative guide to the methodologies that produce coherent and complete R&D projects. Based on the author's experience in large industrial firms, this book addresses the avoidance of common pitfalls that engineers and scientists routinely face in industry and academia. Special emphasis is placed on the comprehensive analysis of project problems, requirements, objectives, the use of standard and consistent terminology and procedures, the design of rigorous and reproducible experiments, the appropriate reduction and interpretation of project results, and the effective communication of project design, methods, results, and conclusions, embedded in a clear and modern framework of the Scientific Method. This fully updated new edition also includes an extended case study from industry, additional material about the evolution of knowledge and science and technology and a special focus on the discovery and nurture of technical innovation, both of which reinforce the importance of adherence to the described methodology in both academic and industrial venues. Professional engineers and researchers will find a highly consistent and practical reference for the rigorous conduct and clear communication of complex R&D projects. Students will also find a palatable introduction to the critical concepts of knowing, doing, and Getting it Right.
(source: Nielsen Book Data)

• A Prescriptive Analytical Logic Model Incorporated with Analytic Hierarchy Process for Software Application Error Analysis
• Simplified Framework of Natural Language Processing for Structure Management of Current-Age Data
• Design and Software Implementation of Heuristic and Suboptimal Strategies for the Mancala/Kalah Game
• Sector-Selective Hybrid Scheme Facilitating Hardware Supportability Over Image Compression
• Performance Evaluation of Joint Rate-Distortion Model of Video Codec
• To Defeat DDoS Attacks in Cloud Computing Environment Using Software Defined Networking (SDN)
• Oriented Petri Nets as Means of Describing a Human-Computer Interaction
• FPGA Based Transient Fault Generate and Fault Tolerant for Asynchronous and Synchronous Circuits
• Designing an Energy Efficient Routing for Subsystems Sensors in Internet of Things Eco-System Using Distributed Approach
• The Compare of Solo Programming and Pair Programming Strategies in a Scrum Team: A Multi-agent Simulation
• Fair Random Access with Track-Based SNR Scheduling for Full-Duplex Wireless Powered Communication Networks
• A DTN Gateway-Based Architecture for Web Access in Space Internet
• Multi-objective Scheduling Optimization for ETL Tasks in Cluster Environment
• An LSTM-Based Encoder-Decoder Model for State-of-Charge Estimation of Lithium-Ion Batteries
• Analysis of Social Engineering Attacks Using Exploit Kits
• Bipolar Disorder: A Pathway Towards Research Progress in Identification and Classification
• Managing Electronic Waste with Recycling: A Review of Developing and Developed Regions
• Trajectory Modeling in a Pursuit Problem with Curvature Restrictions
• An Approach to Using Templates for Modeling Exceptions in Terms of Petri Nets
• Performance Bottleneck Analysis and Optimization Framework in Concurrent Environments
• Matlab Code Generation and Consumption
• The Problem of Preventing the Development of Critical Combinations of Events in Large-Scale Systems
• Using Software Package "Multimeat-Expert" for Modeling and Optimization of Composition Chopped Meat Product with Vegetable Additive
• Application of Machine Learning for Document Classification and Processing in Adaptive Information Systems
• SNR-Based TDMA Scheduling with Continuous Energy Transfer for Wireless Powered Communication Networks
• Comparative Analysis of Software Development Life Cycle Models (SDLC). Plus 27 more papers.

This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented. .
(source: Nielsen Book Data)

• Preface Acknowledgments Introduction: Python and Array Operations Introduction to PyTorch Introduction to Deep Learning Deep Transfer Learning Case Study: Practical Implementation Through Transfer Learning Bibliography Author's Biography.
• (source: Nielsen Book Data)

This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform. It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model.In recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics, computer vision, natural language processing, and bioinformatics. Also, numerous real-world engineering applications utilize an existing pre-trained deep learning model that has already been developed and optimized for a related task. However, incorporating a deep learning model in a research project is quite challenging, especially for someone who doesn't have related machine learning and cloud computing knowledge. Keeping that in mind, this book is intended to be a short introduction of deep learning basics through the example of a practical implementation case. The audience of this short book is undergraduate engineering students who wish to explore deep learning models in their class project or senior design project without having a full journey through the machine learning theories. The case study part at the end also provides a cost-effective and step-by-step approach that can be replicated by others easily.
(source: Nielsen Book Data)

• Introduction to Programming
• C++ Basics
• Delving into Object-Oriented Programming
• Memory Management
• Advanced Object-Oriented Programming
• Computer Arithmetic
• Basics of Parallel Programming
• Appendix.

A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language features Providing meaningful examples that facilitate understanding of the programming techniques and the C++ language constructions Fostering good programming practices which create better professional programmers Minimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory material Granting access to a complementary website that contains example code and useful links to resources that further improve the reader's coding ability Including test and exam question for the reader's review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++.
(source: Nielsen Book Data)

• Introduction to Programming
• C++ Basics
• Delving into Object-Oriented Programming
• Memory Management
• Advanced Object-Oriented Programming
• Computer Arithmetic
• Basics of Parallel Programming
• Appendix

A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language features Providing meaningful examples that facilitate understanding of the programming techniques and the C++ language constructions Fostering good programming practices which create better professional programmers Minimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory material Granting access to a complementary website that contains example code and useful links to resources that further improve the reader's coding ability Including test and exam question for the reader's review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++.
(source: Nielsen Book Data)

• Introduction
• Number Systems
• Algebraic Equations
• Scalar Calculus
• Vector Calculus.

This state of the art book takes an applications based approach to teaching mathematics to engineering and applied sciences students. The book lays emphasis on associating mathematical concepts with their physical counterparts, training students of engineering in mathematics to help them learn how things work. The book covers the concepts of number systems, algebra equations and calculus through discussions on mathematics and physics, discussing their intertwined history in a chronological order. The book includes examples, homework problems, and exercises. This book can be used to teach a first course in engineering mathematics or as a refresher on basic mathematical physics. Besides serving as core textbook, this book will also appeal to undergraduate students with cross-disciplinary interests as a supplementary text or reader.

• Cell Structure and Biochemical Reactions.- Cellular Homeostasis and Membrane Potential.- The Action Potential.- Cellular Transport and Communication.- Pharmacokinetics.- Tissue Mechanics.- Cardiovascular System I: The Heart.- Cardiovascular System II: The Vasculature.- Respiratory System.- Nervous System.
• (source: Nielsen Book Data)

This book provides an introduction to qualitative and quantitative aspects of human physiology. It examines biological and physiological processes and phenomena, including a selection of mathematical models, showing how physiological problems can be mathematically formulated and studied. It also illustrates how a wide range of engineering and physics topics, such as electronics, fluid dynamics, solid mechanics and control theory can be used to describe and understand physiological processes and systems. Throughout the text, there are introductions to measuring and quantifying physiological processes using both signaling and imaging technologies. This new edition includes updated material on pathophysiology, metabolism and the TCA cycle, as well as more advanced worked examples. This book describes the basic structure and models of cellular systems, the structure and function of the cardiovascular system, and the electrical and mechanical activity of the heart, and provides an overview of the structure and function of the respiratory and nervous systems. It also includes an introduction to the basic concepts and applications of reaction kinetics, pharmacokinetic modelling and tracer kinetics. It appeals to final year biomedical engineering undergraduates and graduates alike, as well as to practising engineers new to the fields of bioengineering or medical physics. .
(source: Nielsen Book Data)

• Preface Acknowledgments Probability Random Variables Distributions of Sample Mean and Sample SD Confidence and Prediction Intervals Hypothesis Testing Linear Regression Authors' Biographies Index.
• (source: Nielsen Book Data)

One of the most important subjects for all engineers and scientists is probability and statistics. This book presents the basics of the essential topics in probability and statistics from a rigorous standpoint. The basics of probability underlying all statistics is presented first and then we cover the essential topics in statistics, confidence intervals, hypothesis testing, and linear regression. This book is suitable for any engineer or scientist who is comfortable with calculus and is meant to be covered in a one-semester format.
(source: Nielsen Book Data)

• Preface Acknowledgments Probability Random Variables Distributions of Sample Mean and Sample SD Confidence and Prediction Intervals Hypothesis Testing Linear Regression Authors' Biographies Index.
• (source: Nielsen Book Data)

One of the most important subjects for all engineers and scientists is probability and statistics. This book presents the basics of the essential topics in probability and statistics from a rigorous standpoint. The basics of probability underlying all statistics is presented first and then we cover the essential topics in statistics, confidence intervals, hypothesis testing, and linear regression. This book is suitable for any engineer or scientist who is comfortable with calculus and is meant to be covered in a one-semester format.
(source: Nielsen Book Data)

Science education's two-fold challenge is clear: Schools need to (1) align their curricula with contemporary state standards and (2) meet the growing demand for STEM education. What's not as clear: how to meet the challenge if your school doesn't have the right instructional materials. STEM, Standards, and Strategies for High-Quality Units is designed to address both these needs. Thought leader and curriculum expert Rodger W. Bybee has assembled a guide to creating coherent, high-quality classroom materials that support the standards and STEM. The book provides practical background information and activities that can be adapted by individual teachers, professional learning communities, and professional developers.
(source: Nielsen Book Data)

• Basics.- SimTalk and Dialogs.- Modeling of Production Processes.- Information Flow, Controls.- Working with random values.- Simulation of transport processes.- Simulation of Robots and Handling Equipment.- Warehousing and Procurement.- Simulation of Workers.- The Fluids Library.- 2D and 3D Visualization.- Integrate Energy Consumption and Costs.- Statistics.- Data Exchange and Interfaces.
• (source: Nielsen Book Data)

This book systematically introduces readers to the development of simulation models as well as the implementation and evaluation of simulation experiments with Tecnomatix Plant Simulation. Intended for all Plant Simulation users whose work involves complex tasks, it also offers an easy start for newcomers. Particular attention has been paid to introducing the simulation flow language SimTalk and its use in various aspects of simulation. In over 200 examples, the author demonstrates how to combine the blocks for simulation models and how to employ SimTalk in complex control and analysis tasks. The content ranges from a description of the basic functions of the material flow blocks to more advanced topics such as the implementation of database-supported warehouse control by using the SQLite interface, and the exchange of data using XML, ActiveX, COM or DDE. .
(source: Nielsen Book Data)