This book covers topics of equilibria and kinetics of adsorption in porous media. Fundamental equilibria and kinetics are dealt with for homogeneous as well as heterogeneous particles. Five chapters of the book deal with equilibria and eight chapters deal with kinetics. Single component as well as multicomponent systems are discussed. In kinetics analysis, we deal with the various mass transport processes and their interactions inside a porous particle. Conventional approaches as well as the new approach using Maxwell-Stefan equations are presented. Various methods to measure diffusivity, such as the Differential Adsorption Bed (DAB), the time lag, the diffusion cell, chromatography, and the batch adsorber methods are also covered by the book. It can be used by lecturers and engineers who wish to carry out research in adsorption. A number of programming codes written in MatLab language are included so that readers can use them directly to better understand the behavior of single and multicomponent adsorption systems.
This book is the proceedings of the second Pacific Basin Conference on Adsorption Science and Technology that was held May 14-18, 2000 in Brisbane, Australia.
Nineteen-year-old Lauren Reed has always felt peculiar. She has no memory of her past after her parents’ mysterious deaths, and her unusual emerald eyes and severe migraines reinforce her sense of being an outsider. With her sophomore year of Northwestern about to begin, Lauren can’t wait to escape her adoptive parents’ overprotectiveness and move in with her best friend, Raegan, for a fresh start. Unfortunately, her plan is thwarted when a strange note in her parents’ study leads to a frightful vision of a woman running for her life. Lauren’s other senses also start to heighten—especially after she meets the very handsome and charming Quinn Maxwell. As her visions and connection to Quinn strengthen, Lauren is stalked by an irate man with a cryptic warning: Raefield is coming for her, and she better not resist, or everyone will suffer. Frightened and confused, Lauren digs into her past, looking for answers. She is shocked to discover her biological parents were witches. Their lifesaving magic triggered her evolving abilities, which is why she’s being hunted by Raefield, a power-hungry madman. Although her parents’ coven swears to protect her, Lauren must willingly embrace her new powers or risk a dark fate.
In Mindful Things, Lauren embraces her true nature as she cultivates her growing powers. She continues to be hunted by loyalists to Raefield, a reminder that he’ll do anything to obtain the essence of her powers, even at the cost of her life. Now, Lauren and Quinn must flee Chicago to protect her family and friends from Raefield’s accomplices. Lauren is determined to finally defeat the forces of evil in a timeless struggle for power. She travels to New Haven, Connecticut, with her family to reconnect with her past and to gain insight into her true identity. Helen conjures up a spell, sending Lauren to confront the secrets that has haunted her family for over a century. She is lured deeper into a world of magic, where visions of hope and prosperity weave within the darkness of Raefield’s world, where survival becomes a turn of fate. Armed with new knowledge, Lauren challenges Raefield and is left defeated. Lauren receives mysterious gifts from her mother. As Raefield’s forces clashes with their lives, Lauren gathers her friends to decipher their meaning. They unravel connections to Lauren, but are thwarted when a power shift surges out of control. Will they be too late to stop the destruction of their world?
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges. Multivariate Kernel Smoothing and Its Applications offers a comprehensive overview of both aspects. It begins with a thorough exposition of the approaches to achieve the two basic goals of estimating probability density functions and their derivatives. The focus then turns to the applications of these approaches to more complex data analysis goals, many with a geometric/topological flavour, such as level set estimation, clustering (unsupervised learning), principal curves, and feature significance. Other topics, while not direct applications of density (derivative) estimation but sharing many commonalities with the previous settings, include classification (supervised learning), nearest neighbour estimation, and deconvolution for data observed with error. For a data scientist, each chapter contains illustrative Open data examples that are analysed by the most appropriate kernel smoothing method. The emphasis is always placed on an intuitive understanding of the data provided by the accompanying statistical visualisations. For a reader wishing to investigate further the details of their underlying statistical reasoning, a graduated exposition to a unified theoretical framework is provided. The algorithms for efficient software implementation are also discussed. José E. Chacón is an associate professor at the Department of Mathematics of the Universidad de Extremadura in Spain. Tarn Duong is a Senior Data Scientist for a start-up which provides short distance carpooling services in France. Both authors have made important contributions to kernel smoothing research over the last couple of decades.
Bonded Joints and Repairs to Composite Airframe Structures is a single-source reference on the state-of-the-art in this rapidly growing area. It provides a thorough analysis of both internal and external joints and repairs, as well as discussions on damage tolerance, non-destructive inspection, self-healing repairs, and other essential information not only on the joints and repairs themselves, but critically, on how they differ from bonds and repairs to metallic aircraft. Authors Wang and Duong bring a valuable combination of academic research and industry expertise to the book, drawing on their cutting-edge composite technology experience, including analytic and computational leadership of damage and repair planning for the Boeing 787. Intended for graduate students, engineers, and scientists working on the subject in aerospace industry, government agencies, research labs, and academia, the book is an important addition to the limited literature in the field. - Offers rare coverage of composite joints and repairs to composite structures, focusing on the state of the art in analysis - Combines the academic, government, and industry expertise of the authors, providing research findings in the context of current and future applications - Covers internal and external joints and repairs, as well as damage tolerance, non-destructive inspection, and self-healing repairs - Ideal for graduate students, engineers, and scientists working in the aerospace industry, government agencies, research labs, and academia
In an intensely revealing memoir written for his Canadian daughter, a man breaks a lifetime of silence about the traumas of his childhood in war-torn Vietnam and his years as a refugee in revolutionary Iran. Spanning decades and generations, this heartfelt memoir began as a series of letters from a worried father. Anh Duong had witnessed terrible things as a child during the Vietnam War, and later as a refugee in Iran during the revolution of the late 1970s. But like many in the Vietnamese diaspora, he had remained silent about his experiences, believing that trauma was better left unspoken. However, when his daughter became involved in student protests, Duong felt compelled to speak about his own experience of uprisings. In precise prose, Dear Da-Lê moves along a taut narrative thread that begins with Duong’s birth in 1953 and ends with his arrival, frayed and broke, in Canada in 1980. With surprising moments of hope and tenderness amid brutal divisions, the author creates a coming-of-age story intertwined with the human costs of war and exile. Its revelations are sure to resonate not only with the generation born to refugees of the Vietnam War, but with anyone seeking to understand the lasting, often hidden torments of violent conflict and the healing that can take place in the act of telling.
In the explosive conclusion to the Mindful Things series, Lauren and her allies face their greatest challenge in a literal race to save humanity. In book two, Lauren was taken by Raefield’s accomplices and sent to the past. She is held captive at Raefield’s grand estate, where secrets are overheard and half-truths are spoken regarding her former life. With her memory still blocked, Lauren struggles to trust anyone, making her escape more challenging. Yet nagging questions prevail: Did she and her birth parents do the right thing to prevent Raefield from becoming too powerful? Raefield continues his war to suppress humanity and bring back the rule of witches. Lauren is resolved to defeat Raefield at all costs. Back in the present day, Quinn, with her family and friends, work tirelessly to bring her home. A confrontation erupts and their escape is not without loss. Chicago remains the epicenter of imminent threats and a great battle is unavoidable. Will Lauren and her allies uncover Raefield’s weaknesses and avert his destruction on humankind? Their fate hangs in the balance of a new time.
This book presents, in a unified manner, a variety of topics in Continuum and Fracture Mechanics: energy methods, conservation laws, mathematical methods to solve two-dimensional and three-dimensional crack problems. Moreover, a series of new subjects is presented in a straightforward manner, accessible to under-graduate students. Emphasizing physical or experimental back-grounds, then analysis and theoretical results, this monograph is intended for use by students and researchers in solid mechanics, mechanical engineering and applied mathematics.
This book is a Solutions Manual to accompany Applied Mathematics and Modeling for Chemical Engineers, Third Edition. There are many examples provided as homework in the original text and the solution manual provides detailed solutions of many of these problems that are in the parent book Applied Mathematics and Modeling for Chemical Engineers, Third Edition.
This book covers topics of equilibria and kinetics of adsorption in porous media. Fundamental equilibria and kinetics are dealt with for homogeneous as well as heterogeneous particles. Five chapters of the book deal with equilibria and eight chapters deal with kinetics. Single component as well as multicomponent systems are discussed. In kinetics analysis, we deal with the various mass transport processes and their interactions inside a porous particle. Conventional approaches as well as the new approach using Maxwell-Stefan equations are presented. Various methods to measure diffusivity, such as the Differential Adsorption Bed (DAB), the time lag, the diffusion cell, chromatography, and the batch adsorber methods are also covered by the book. It can be used by lecturers and engineers who wish to carry out research in adsorption. A number of programming codes written in MatLab language are included so that readers can use them directly to better understand the behavior of single and multicomponent adsorption systems.
This book is a Solutions Manual to Accompany Applied Mathematics and Modeling for Chemical Engineers. There are many examples provided as homework in the original text and the solution manual provides detailed solutions of many of these problems that are in the parent book Applied Mathematics and Modeling for Chemical Engineers.
Enables chemical engineers to use mathematics to solve common on-the-job problems With its clear explanations, examples, and problem sets, Applied Mathematics and Modeling for Chemical Engineers has enabled thousands of chemical engineers to apply mathematical principles to successfully solve practical problems. The book introduces traditional techniques to solve ordinary differential equations as well as analytical methods to deal with important classes of finite-difference equations. It then explores techniques for solving partial differential equations from classical methods to finite-transforms, culminating with??numerical methods??including orthogonal collocation. This Second Edition demonstrates how classical mathematics solves a broad range of new applications that have arisen since the publication of the acclaimed first edition. Readers will find new materials and problems dealing with such topics as: Brain implant drug delivery Carbon dioxide storage Chemical reactions in nanotubes Dissolution of pills and pharmaceutical capsules Honeycomb reactors used in catalytic converters New models of physical phenomena such as bubble coalescence Like the first edition, this Second Edition provides plenty of worked examples that explain each step on the way to finding a problem's solution. Homework problems at the end of each chapter are designed to encourage readers to more deeply examine the underlying logic of the mathematical techniques used to arrive at the answers. Readers can refer to the references, also at the end of each chapter, to explore individual topics in greater depth. Finally, the text's appendices provide additional information on numerical methods for solving algebraic equations as well as a detailed explanation of numerical integration algorithms. Applied Mathematics and Modeling for Chemical Engineers is recommended for all students in chemical engineering as well as professional chemical engineers who want to improve their ability to use mathematics to solve common on-the-job problems.
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