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Teaching Multilingual Learners in Rural Schools Four Movements for Educators


Teaching Multilingual Learners in Rural Schools: Four Movements for Educators
English | 2026 | ISBN: 1032798068 | 185 pages | True PDF,EPUB | 28.50 MB
Teaching Multilingual Learners in Rural Schoolsis a call to action and a guide to empower educators to build strong, just, and multilingual rural communities.The book offers a research-informed framework for transforming how rural schools serve multilingual learners (MLs). Using the metaphor of a symphony, the author organizes the work around four "movements": Representation and Belonging, Shared Vision, Centering Families, and Collaboration. Each movement harmonizes research, policy, and practice to create equity-driven learning environments where rural ML students can thrive academically and socially.Set against today's rapidly changing educational landscape, this resource provides educators and policymakers with strategies for designing inclusive, locally grounded programs. Through case studies, field insights, and reflective questions, you will discover how rural schools can honor place, language, and identity while advancing excellence and opportunity for all learners.

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Taste of Home Cozy Comfort Recipes 250+ Crave-worthy Recipes for Any-night Meals and Family Gatherings


Taste of Home Cozy Comfort Recipes: 250+ Crave-worthy Recipes for Any-night Meals and Family Gatherings (Taste of Home Comfort Food) by Taste of Home
English | September 8th, 2026 | ISBN: 9798889772279 | 320 pages | True EPUB | 141.57 MB
Wrap yourself in the warmth of home cooking with Taste of Home Cozy Comfort Food! This is the ultimate collection for anyone who believes the best memories are made in the kitchen and shared around the table. Filled with more than 250 feel-good favorites, this cookbook is your invitation to dig into the hearty, stick-to-your-ribs dishes that warm the soul.

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Tales of the Nature's Hidden Wonders


Tales of the Nature's Hidden Wonders
English | May 1, 2025 | ASIN: B0F7HMW37L | 192 pages | EPUB (True) | 960.81 KB
This book takes readers on a journey to explore nature's hidden wonders, from the depths of the oceans to the peaks of mountains. Each chapter is a biographical tale of a different natural wonder, revealing its geographical, historical, and scientific significance. The book celebrates the beauty and complexity of nature, highlighting the human stories and discoveries intertwined with these extraordinary sites. Examples include the Darvaza Gas Crater and Dean's Blue Hole, both marvels of nature with deep human connections. The book not only showcases the awe-inspiring landscapes but also addresses the challenges these wonders face, such as climate change and environmental threats. It aims to raise awareness about conservation and the delicate balance between human activities and environmental preservation. Through these tales, readers are encouraged to appreciate the natural world and its fragility, while understanding the importance of sustainable practices.

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System Reliability Modeling A Matrix-algorithmic Approach in MATLAB


System Reliability Modeling: A Matrix-algorithmic Approach in MATLAB
English | 2026 | ISBN: 1394371128 | 616 pages | PDF | 22.99 MB
Technical, comprehensive resource on system reliability modelingSystem Reliability Modelingdevelops algorithms for generating a system reliability model using matrix algebra. All algorithms are presented in ready-to-use MATLAB functions ensuring system reliability modeling becomes as simple as writing a few lines of MATLAB code, no matter how complex the system structures are. All functions are managed in a user-friendly software package to simplify modeling and analyzing of the reliability of a complex system. The package is also utilized to investigate the optimum maintenance and replacement programs, component orderings, and warmness levels in standby systems.The book includes examples and simple exercises for every topic, applications for real systems, problems at the end of each chapter, chapters on discrete time systems, and the use of AI in system reliability.This book discusses:Matrix-based distributions, covering continuous-time Markov chains (CTMC), ways to model CTMC, phase-type (PH) and matrix-exponential (ME) distributions, similarity transformation, and approximating scalar distributions with PH distributionsOne-component systems, covering reliability, hazard, and mean residual lifetime functions, perfect and imperfect maintenance, optimum replacement interval, and stock-out riskBasic structured systems, covering series, parallel, standby with perfect and imperfect switches structures, and any combination of these structuresGeneral structure systems, covering a method to incorporate warmness levels into standby systems, so that one standby model applies to hot, warm, and cold standby in any combination thus applicable to all basic structured systemsNetwork reliability, covering methods for converting Boolean structure functions into arithmetic functions and calculating network's reliability measures and the maximum reliability function in capacitated networksSystem Reliability Modelingis an excellent resource for students, researchers, reliability engineers, maintenance engineers, and spare part logistics engineers seeking a rigorous analytical method in system design for reliability.

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System Innovation in an AI-Driven World Applied System Innovation XII


System Innovation in an AI-Driven World: Applied System Innovation XII
English | 2026 | ISBN: 1041428251 | 297 pages | True PDF,EPUB | 168.36 MB
As Artificial Intelligence fundamentally restructures contemporary socio-technical infrastructure, reductive technological paradigms fail to capture emerging institutional complexities.System Innovation in an AI-Driven Worldestablishes a rigorous theoretical framework for transitioning from discrete algorithmic deployment to comprehensive systemic transformation. This volume equips scholars and strategic architects with the epistemological and methodological tools required to analyze, model, and govern complex socio-technical transitions under the influence of pervasive automation.The monograph interrogates the dialectical relationship between advanced computational architectures―specifically deep neural networks, autonomous multi-agent systems, and predictive modeling―and legacy institutional frameworks. Utilizing cross-disciplinary case studies from cyber-physical systems, public health logistics, and decentralized socio-ecological regimes, the text explicates the mechanics of systemic innovation within volatile technological landscapes. The foundational findings indicate that optimal AI integration is not a function of raw algorithmic efficacy; rather, it depends on systemic absorptive capacity, adaptive regulatory polycentricity, and dynamic feedback integration. The research offers structural typologies for mapping non-linear systemic feedback loops, mitigating algorithmic opacity, and synthesizing human-machine governance frameworks. Consequently, the volume demonstrates that sustainable institutional efficacy resides in embedding computational intelligence within fundamentally reconceptualized, non-linear system architectures.This volume is explicitly designed for academic researchers, systems theorists, computational sociologists, and advanced policymakers. It constitutes an indispensable resource for graduate-level seminars and senior scholars investigating the intersection of technology policy, complex adaptive systems, and institutional design amid the contemporary digital transition.

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Sustainable UAV Ecosystems


Sustainable UAV Ecosystems
English | 2026 | ISBN: 1041222882 | 298 pages | True PDF,EPUB | 32.38 MB
Sustainable UAV Ecosystems: Integrating Blockchain, Quantum, and AI for Smart Mobility and SDG Innovationprovides a comprehensive examination of technologies that enable secure, intelligent, and sustainable UAV ecosystems for smart mobility and digital infrastructure. It presents theoretical foundations and practical methodologies integrating artificial intelligence, blockchain, post-quantum cryptography, and cloud-edge computing for resilient UAV communications. It not only explores predictive intelligence, adaptive routing, swarm intelligence, and decentralized control in autonomous aerial networks but also highlights applications in smart-city logistics, disaster response, environmental monitoring, and precision agriculture. Emphasis is placed on energy-efficient operations, low-carbon mobility, and sustainable UAV systems aligned with Sustainable Development Goals (SDGs).Key Features:Illustrates the design and integration of secure and sustainable UAV ecosystems, including intelligent aerial networks, smart mobility infrastructures, and autonomous drone operations.Emphasizes the role of artificial intelligence and intelligent analytics in UAV systems by leveraging advanced techniques such as predictive intelligence, adaptive routing, and swarm intelligence for cooperative aerial operations.Presents practical applications of UAV technologies in smart-city logistics, disaster response, environmental monitoring, and precision agriculture to support efficient and sustainable services.Covers cybersecurity mechanisms and post-quantum cryptographic models for protecting UAV communications, aerial networks, and decentralized drone infrastructures.Showcases the integration of blockchain, distributed cloud-edge computing, and decentralized control frameworks to enable trustworthy, scalable, and resilient UAV ecosystems.This book is suitable for senior undergraduates, graduate students, and academic researchers in computer science, artificial intelligence, aerospace engineering, robotics, communication engineering, and smart mobility systems, as well as policymakers and industry practitioners working on sustainable UAV technologies and intelligent aerial infrastructures.