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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