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Statistical Modeling and Applications on Real-Time Problems: Unraveling Insights through Advanced Analytical Techniques (ISSN)

by Chandra Shekhar Raghaw Raman Sinha

In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.This book·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems.·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities.·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity.This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.

The Romance of Three Hamlets: Shakespeare through a Chinese Prism

by Hao Liu

Through a metaphorical journey of Shakespeare in traditional Chinese theatre, using three Chinese opera productions of Hamlet as signposts, the book discusses the relationship between Shakespeare and Chinese theatrical traditions.A brief discussion of the Yue-opera Hamlet looks back at the role of Shakespeare in the Chinese discourse of renaissance and re-evaluation of traditions since the early twentieth century. A detailed analysis of the Peking-opera Hamlet shows what is lost and what is gained in the negotiation between Shakespeare and Chinese theatrical traditions, and why. The third Hamlet is an experimental Kun-opera production, leading to a discussion of the potential for Shakespeare and Chinese theatrical traditions to join hands and reach new depths of artistic expression.The book will attract researchers, students, and enthusiasts of Shakespeare, cross-cultural Shakespearean recreation, Chinese theatrical traditions, and comparative literature.

Statistical Modeling and Applications on Real-Time Problems: Unraveling Insights through Advanced Analytical Techniques (ISSN)


In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.This book·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems.·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities.·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity.This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.

Antimicrobials in Agriculture (Current Trends in Antimicrobial Research)

by Ram Prasad Arti Gupta

This book offers comprehensive coverage of all manifestations of resistance in combating infectious diseases and explores advances in antimicrobials in agriculture and their applications in the fight against microbes. According to the World Health Organization, antimicrobial resistance is a major threat to global health because the number of alternative antibiotics is very limited. Antimicrobial resistance is a slow, evolutionary process that has been accelerated by human activities in the health, environment, and agriculture sectors. Due to their wide application, antibiotics and their residues have been found in almost all food products and natural ecosystems. This book appraises the drivers, impact, and mitigation of antimicrobials, with a focus on methods and targets. In addition, it also provides a variety of photographs, diagrams, and tables to help illustrate the material. The novel strategies to combat antimicrobial resistance are also described, emphasizing collaborative measures of control. The underlying molecular mechanisms, which depend not only on the microbe but on the specific drug molecule, are highly diverse and are covered in detail.Students, researchers, scientists, practitioners, academicians, biologists, microbiologists, stakeholders, and policymakers can benefit from current trends in antimicrobials in agriculture that address microbiology, microbial biotechnology, ethnopharmacology, toxicology, natural medicinal plant products, secondary metabolites, and all disciplines related to antimicrobial research.Features of the book: Covers antimicrobials in agriculture with up-to-date research Recent references on plausible antimicrobials in agriculture Public health impact of the use of antibiotics in agriculture Antimicrobial efficacy of medicinal plants Role of phytoalexins in agriculture Nanoparticles as antimicrobial agents Presents cutting-edge research on microbiology, nanotechnology, and emergent antimicrobial technologies

Antimicrobials in Agriculture (Current Trends in Antimicrobial Research)


This book offers comprehensive coverage of all manifestations of resistance in combating infectious diseases and explores advances in antimicrobials in agriculture and their applications in the fight against microbes. According to the World Health Organization, antimicrobial resistance is a major threat to global health because the number of alternative antibiotics is very limited. Antimicrobial resistance is a slow, evolutionary process that has been accelerated by human activities in the health, environment, and agriculture sectors. Due to their wide application, antibiotics and their residues have been found in almost all food products and natural ecosystems. This book appraises the drivers, impact, and mitigation of antimicrobials, with a focus on methods and targets. In addition, it also provides a variety of photographs, diagrams, and tables to help illustrate the material. The novel strategies to combat antimicrobial resistance are also described, emphasizing collaborative measures of control. The underlying molecular mechanisms, which depend not only on the microbe but on the specific drug molecule, are highly diverse and are covered in detail.Students, researchers, scientists, practitioners, academicians, biologists, microbiologists, stakeholders, and policymakers can benefit from current trends in antimicrobials in agriculture that address microbiology, microbial biotechnology, ethnopharmacology, toxicology, natural medicinal plant products, secondary metabolites, and all disciplines related to antimicrobial research.Features of the book: Covers antimicrobials in agriculture with up-to-date research Recent references on plausible antimicrobials in agriculture Public health impact of the use of antibiotics in agriculture Antimicrobial efficacy of medicinal plants Role of phytoalexins in agriculture Nanoparticles as antimicrobial agents Presents cutting-edge research on microbiology, nanotechnology, and emergent antimicrobial technologies

Sustainable Management of Mining Waste and Tailings: A Circular Economy Approach

by Eric D. van Hullebusch Alok Prasad Das Ata Akçil

Integrating waste management, environmental sustainability, and economic development is a prime milestone in the circular economy. Critical metals recovery from mining tailings and secondary resources has significant potential, with widespread applications in high-tech industries that are critical to modern society and sustainable development. This book discusses technological advances for managing industrial and mining waste through circular economy approaches and successful critical metal recovery from secondary resources. It highlights how reprocessing of mine waste and tailings results in development of critical raw materials that significantly reduce the mining burden and ensure the lucrative use of waste materials.Features: Describes advances in remediation and valorization technologies for mining wastes Details biotechnological methods, cutting edge research, and applications Covers use of waste mining resources for economic growth and novel opportunities Discusses IR4.0 and machine learning methods Includes reports and case studies on mining waste in value-added products and recovery of strategically important critical minerals This book will be of value to researchers and advanced students working in the mining, chemical and environmental engineering, and renewable energy sectors.

Sustainable Management of Mining Waste and Tailings: A Circular Economy Approach


Integrating waste management, environmental sustainability, and economic development is a prime milestone in the circular economy. Critical metals recovery from mining tailings and secondary resources has significant potential, with widespread applications in high-tech industries that are critical to modern society and sustainable development. This book discusses technological advances for managing industrial and mining waste through circular economy approaches and successful critical metal recovery from secondary resources. It highlights how reprocessing of mine waste and tailings results in development of critical raw materials that significantly reduce the mining burden and ensure the lucrative use of waste materials.Features: Describes advances in remediation and valorization technologies for mining wastes Details biotechnological methods, cutting edge research, and applications Covers use of waste mining resources for economic growth and novel opportunities Discusses IR4.0 and machine learning methods Includes reports and case studies on mining waste in value-added products and recovery of strategically important critical minerals This book will be of value to researchers and advanced students working in the mining, chemical and environmental engineering, and renewable energy sectors.

Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation (ISSN)

by Chandra Shekhar Raghaw Raman Sinha

In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions. The compilation uncovers estimators for population proportion, product of two population means, and more, supported by empirical and simulation studies. Additionally, it scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This book· Traverses diverse fields for insights into real-world challenges.· Delves into the intricacies of the Lomax distribution under a Type II censoring scheme.· Uncovers estimators supported by empirical and simulation studies.· Scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This compilation promises a holistic exploration of advanced statistical and optimization methods, offering readers valuable insights into their pragmatic applications across a spectrum of real-world issues.

Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation (ISSN)

by Chandra Shekhar Raghaw Raman Sinha

In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions. The compilation uncovers estimators for population proportion, product of two population means, and more, supported by empirical and simulation studies. Additionally, it scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This book· Traverses diverse fields for insights into real-world challenges.· Delves into the intricacies of the Lomax distribution under a Type II censoring scheme.· Uncovers estimators supported by empirical and simulation studies.· Scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This compilation promises a holistic exploration of advanced statistical and optimization methods, offering readers valuable insights into their pragmatic applications across a spectrum of real-world issues.

The Neural Teaching Guide: Authentic Strategies from Brain-Based Classrooms

by Kieran O’Mahony

The Neural Teaching Guide showcases the innovative practices of K-12 teachers who are effectively applying findings from educational neuroscience into their classrooms. Educators today have remarkable opportunities to understand how the complex and often malleable functions of the brain affect learning, behavior, and social-emotional dynamics, but what practical strategies come out of this information? Authored by in-service teachers around the country, this book showcases a variety of brain-based approaches – cutting-edge yet intuitive, evidence-based yet accessibly translated – to helping children realize their potential at school. Both novice and veteran K-12 teachers alike will be reinvigorated to enhance students’ engagement and curiosity, nurture positive behaviors and self-regulation, support interest-based activities and inclusive interactions, identify biases and struggles, and more.

The Neural Teaching Guide: Authentic Strategies from Brain-Based Classrooms


The Neural Teaching Guide showcases the innovative practices of K-12 teachers who are effectively applying findings from educational neuroscience into their classrooms. Educators today have remarkable opportunities to understand how the complex and often malleable functions of the brain affect learning, behavior, and social-emotional dynamics, but what practical strategies come out of this information? Authored by in-service teachers around the country, this book showcases a variety of brain-based approaches – cutting-edge yet intuitive, evidence-based yet accessibly translated – to helping children realize their potential at school. Both novice and veteran K-12 teachers alike will be reinvigorated to enhance students’ engagement and curiosity, nurture positive behaviors and self-regulation, support interest-based activities and inclusive interactions, identify biases and struggles, and more.

Signal and Image Processing for Remote Sensing (ISSN)

by C. H. Chen

Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.Features• Includes all new content and does not replace the previous edition.• Covers machine learning approaches in both signal and image processing for remote sensing.• Studies deep learning methods for remote sensing information extraction that is found in other books.• Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered.• Discusses improved pattern classification approaches and compressed sensing approaches.• Provides ample examples of each aspect of both signal and image processing.This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.

Plug-and-Play Education: Knowledge and Learning in the Age of Platforms and Artificial Intelligence

by Carlo Perrotta

Plug-and-Play Education: Knowledge and Learning in the Age of Platforms and Artificial Intelligence documents and critiques how the education sector is changing with the advancement of ubiquitous edtech platforms and automation. As programmability and computation reengineer institutions towards efficiency and prediction, the perpetual collection of and access to digital data is creating complex opportunities and concerns. Drawing from research into secondary and higher education settings, this book examines the influence of digital “infrastructuring”, the automation of teaching and learning, and the very purpose of education in a context of growing platformisation and artificial intelligence integration. These theoretical, practical, and policy-oriented insights will offer educational technologists, designers, researchers, and policymakers a more inclusive, diverse, and open-ended perspective on the design and implementation of learning technologies.

Signal and Image Processing for Remote Sensing (ISSN)

by C. H. Chen

Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.Features• Includes all new content and does not replace the previous edition.• Covers machine learning approaches in both signal and image processing for remote sensing.• Studies deep learning methods for remote sensing information extraction that is found in other books.• Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered.• Discusses improved pattern classification approaches and compressed sensing approaches.• Provides ample examples of each aspect of both signal and image processing.This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.

Plug-and-Play Education: Knowledge and Learning in the Age of Platforms and Artificial Intelligence

by Carlo Perrotta

Plug-and-Play Education: Knowledge and Learning in the Age of Platforms and Artificial Intelligence documents and critiques how the education sector is changing with the advancement of ubiquitous edtech platforms and automation. As programmability and computation reengineer institutions towards efficiency and prediction, the perpetual collection of and access to digital data is creating complex opportunities and concerns. Drawing from research into secondary and higher education settings, this book examines the influence of digital “infrastructuring”, the automation of teaching and learning, and the very purpose of education in a context of growing platformisation and artificial intelligence integration. These theoretical, practical, and policy-oriented insights will offer educational technologists, designers, researchers, and policymakers a more inclusive, diverse, and open-ended perspective on the design and implementation of learning technologies.

Refugee Settlement in Australia: A Holistic Overview of Current Research and Practice (Routledge Studies in Media, Communication, and Politics)

by Aparna Hebbani

Combining theoretical and practical information, this book presents a holistic overview of refugee settlement in Australia. It focuses on numerous critical aspects of refugee settlement which play a vital role in refugee integration into Australia. Starting with an overview of immigration history in Australia, the book then places an emphasis on 21st-century settlement of refugees.The chapters explore a gamut of topics including how culture is transmitted in refugee families, how media portrays refugees, and how to work with refugee communities in various contexts, without focusing on one specific refugee cohort/country group. This interdisciplinary angle is presented via the inclusion of voices from interviews with key refugee settlement providers, educators, former refugees, researchers, and second-generation youth from refugee backgrounds. It covers current Australia political debate and politicisation of refugees, digital technologies, the role of language in enabling successful settlement, education trajectories, social cohesion, the fractured diasporic family, and the impact of media coverage, which underpin the settlement of refugees in Australia.This is an ideal resource for advanced undergraduates, postgraduates, and scholars of refugee settlement in the disciplines of communication, media, politics and international relations, social work, education, and demographic studies, as well as government entities, policy makers, service providers, and NGOs looking to gain an understanding of the factors impacting refugee settlement in Australia.

Refugee Settlement in Australia: A Holistic Overview of Current Research and Practice (Routledge Studies in Media, Communication, and Politics)

by Aparna Hebbani

Combining theoretical and practical information, this book presents a holistic overview of refugee settlement in Australia. It focuses on numerous critical aspects of refugee settlement which play a vital role in refugee integration into Australia. Starting with an overview of immigration history in Australia, the book then places an emphasis on 21st-century settlement of refugees.The chapters explore a gamut of topics including how culture is transmitted in refugee families, how media portrays refugees, and how to work with refugee communities in various contexts, without focusing on one specific refugee cohort/country group. This interdisciplinary angle is presented via the inclusion of voices from interviews with key refugee settlement providers, educators, former refugees, researchers, and second-generation youth from refugee backgrounds. It covers current Australia political debate and politicisation of refugees, digital technologies, the role of language in enabling successful settlement, education trajectories, social cohesion, the fractured diasporic family, and the impact of media coverage, which underpin the settlement of refugees in Australia.This is an ideal resource for advanced undergraduates, postgraduates, and scholars of refugee settlement in the disciplines of communication, media, politics and international relations, social work, education, and demographic studies, as well as government entities, policy makers, service providers, and NGOs looking to gain an understanding of the factors impacting refugee settlement in Australia.

Low Carbon Transition: Sustainable Agriculture in the European Union

by Dalia Streimikiene Indre Siksnelyte-Butkiene Tomas Balezentis

Low-carbon transition is a shift from an economy that depends heavily on fossil fuels to a sustainable, low-carbon energy economy. This book analyzes the role of renewables in driving the low-carbon transition in agriculture, explores the circular bio-based economy, and examines policies and strategies designed to facilitate low-carbon transition in agriculture, greenhouse gas mitigation, and adaptation trends in the European Union agriculture sector. It provides new knowledge and understanding about the impact of low-carbon energy transition, emphasizes the key role of renewable energy in a wide range of agricultural activities, and offers alternative sustainable solutions to current practices.Features Discusses a novel approach on low-carbon transition that is not considered by the majority of studies Emphasizes the urgent need to minimize the carbon and environmental footprint of the EU agriculture and food system through low-carbon energy transition Provides theoretical background of sustainable agriculture and explains the decarbonization path of agriculture. Investigates the role of renewables, new technologies, business models, and practices in agriculture while assessing their socioeconomic and environmental effects. Presents a case study on the applications of low-carbon transition policies in selected EU member states and analyses in details various implications. This book is suitable for senior undergraduate and graduate students, professionals in agriculture, researchers, and policy makers interested in sustainable agriculture and renewable energy usage and their economics.

Low Carbon Transition: Sustainable Agriculture in the European Union

by Dalia Streimikiene Indre Siksnelyte-Butkiene Tomas Balezentis

Low-carbon transition is a shift from an economy that depends heavily on fossil fuels to a sustainable, low-carbon energy economy. This book analyzes the role of renewables in driving the low-carbon transition in agriculture, explores the circular bio-based economy, and examines policies and strategies designed to facilitate low-carbon transition in agriculture, greenhouse gas mitigation, and adaptation trends in the European Union agriculture sector. It provides new knowledge and understanding about the impact of low-carbon energy transition, emphasizes the key role of renewable energy in a wide range of agricultural activities, and offers alternative sustainable solutions to current practices.Features Discusses a novel approach on low-carbon transition that is not considered by the majority of studies Emphasizes the urgent need to minimize the carbon and environmental footprint of the EU agriculture and food system through low-carbon energy transition Provides theoretical background of sustainable agriculture and explains the decarbonization path of agriculture. Investigates the role of renewables, new technologies, business models, and practices in agriculture while assessing their socioeconomic and environmental effects. Presents a case study on the applications of low-carbon transition policies in selected EU member states and analyses in details various implications. This book is suitable for senior undergraduate and graduate students, professionals in agriculture, researchers, and policy makers interested in sustainable agriculture and renewable energy usage and their economics.

Data-Centric Artificial Intelligence for Multidisciplinary Applications

by Parikshit N. Mahalle Gitanjali R. Shinde Namrata N. Wasatkar

This book explores the need for a data‑centric AI approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.• Includes a collection of case studies with experimentation results to adhere to the practical approaches• Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways• Discusses methodologies to achieve accurate results by improving the quality of data• Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications

Mentoring for Speech and Language Therapists: Unlocking Professional Development Throughout Your Career (Professional Development in Speech and Language Therapy)

by Mary Heritage

In this book, Mary Heritage shows how mentoring can have a powerful impact on the speech and language therapist and their professional development. The text sets out the impact of mentoring at each stage of the speech and language therapist’s career – students, novice practitioners, and leaders – and explores how mentoring is distinct from other supportive relationships that are available, such as counselling, coaching line management, and education. The reader is guided through the process of finding a mentor and making the most of the mentoring relationship. The book goes on to outline what makes a good mentor and concludes with a vision and call to action for the profession to embrace mentoring more widely, with particular focus on creating a more inclusive professional community.Each section concludes with a space for reflection and action planning to guide the reader through their own journey of understanding how to use mentoring to unlock their own professional development needs.This resource is relevant for all speech and language therapists: those embarking on a new career in speech and language therapy, those needing guidance at a career crossroads, leaders looking to develop a workforce, and those wishing to diversify their communication skills to support their colleagues.

Interrogating Popular Music and the City (ISSN)

by Catherine Strong Shane Homan Seamus O'Hanlon John Tebbutt

How does popular music influence the culture and reputation of a city, and what does a city do to popular music? Interrogating Popular Music and the City examines the ways in which urban environments and music cultures intersect in various locales around the globe. Music and cities have been partners in an often clumsy, sometimes accidental but always exciting dance. Heritage and immigration, noise and art, policy and politics are some of the topics that are addressed in this critical examination of relationships between cities and music. The book draws upon an international array of researchers, encompassing hip hop in Beijing; the city favelas of Brazil; from Melbourne bars to European parliaments; to heritage and tourism debates in Salzburg and Manchester. In doing so, it interrogates the different agendas of audiences, musicians and policy-makers in distinct urban settings.

Data-Centric Artificial Intelligence for Multidisciplinary Applications

by Gitanjali R. Shinde Parikshit N Mahalle Namrata Nishant Wasatkar

This book explores the need for a data‑centric AI approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.• Includes a collection of case studies with experimentation results to adhere to the practical approaches• Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways• Discusses methodologies to achieve accurate results by improving the quality of data• Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications

Mentoring for Speech and Language Therapists: Unlocking Professional Development Throughout Your Career (Professional Development in Speech and Language Therapy)

by Mary Heritage

In this book, Mary Heritage shows how mentoring can have a powerful impact on the speech and language therapist and their professional development. The text sets out the impact of mentoring at each stage of the speech and language therapist’s career – students, novice practitioners, and leaders – and explores how mentoring is distinct from other supportive relationships that are available, such as counselling, coaching line management, and education. The reader is guided through the process of finding a mentor and making the most of the mentoring relationship. The book goes on to outline what makes a good mentor and concludes with a vision and call to action for the profession to embrace mentoring more widely, with particular focus on creating a more inclusive professional community.Each section concludes with a space for reflection and action planning to guide the reader through their own journey of understanding how to use mentoring to unlock their own professional development needs.This resource is relevant for all speech and language therapists: those embarking on a new career in speech and language therapy, those needing guidance at a career crossroads, leaders looking to develop a workforce, and those wishing to diversify their communication skills to support their colleagues.

Interrogating Popular Music and the City (ISSN)


How does popular music influence the culture and reputation of a city, and what does a city do to popular music? Interrogating Popular Music and the City examines the ways in which urban environments and music cultures intersect in various locales around the globe. Music and cities have been partners in an often clumsy, sometimes accidental but always exciting dance. Heritage and immigration, noise and art, policy and politics are some of the topics that are addressed in this critical examination of relationships between cities and music. The book draws upon an international array of researchers, encompassing hip hop in Beijing; the city favelas of Brazil; from Melbourne bars to European parliaments; to heritage and tourism debates in Salzburg and Manchester. In doing so, it interrogates the different agendas of audiences, musicians and policy-makers in distinct urban settings.

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