Page 8
Page 8
Beyond global food supply chains : Crisis, disruption, regeneration
Through a set of incisive essays, this incredibly timely book shows how much the COVID-19 pandemic has exposed both vulnerabilities and opportunities - for (racial) capitalism and its discontents alike to intervene in food supply chains. A most welcome publication! This book takes the upheaval of the global COVID-19 pandemic as a springboard from which to interrogate a larger set of structural, environmental and political fault lines running through the global food system. In a context in which disruptions to the production, distribution, and consumption of food are figured as exceptions to the smooth, just-in-time efficiencies of global supply chains, these essays reveal the global food system as one that is inherently disruptive of human lives and flourishing, and of relationships between people, places, and environments. The pandemic thus represents a particular, acute moment of disruption, offering a lens on a deeper, longer set of systemic processes, and shining new light on transformational possibilities.
Becoming an urban physics and math teacher : Infinite potential
What happens as beginning urban teachers transition through their first few years in the classroom? This book captures one teacher's journey through the first three years of teaching science and mathematics in a large urban district in the US. The authors focus on Ian's agency as a beginning teacher and explore his success in working with diverse students. Using critical ethnography combined with first-person narrative, they investigate Ian's teaching practices in four contexts: his student teaching experience, his work with students on a summer curriculum development project, his first year of teaching in a small, urban high school, and his second year of teaching in a large, comprehensive high school. In each field, the authors describe the structural changes Ian encounters and the ways in which he re-utilizes the practices he used successfully in previous fields.
Autonomic and Trusted Computing ; 4th International Conference, ATC 2007, Hong Kong, China, July 11-13, 2007, Proceedings
To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on se- manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-x operations to the maximum extenteven without human interventionor guidance. Organiccomputing(OC)additionally emphasizes natural-analogueconceptslike self-organization and controlled emergence. Any autonomic ororganic system must be trus tworthy to avoid the risk of l- ing control and to retain confidence that the system will not fail. Trust and/or distrust relationships on the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems and services. Trusted/trustworthy computing (TC) aims at making computing and communication systems as well as services available, predictable, traceable, controllable, assessable, sustainable, dependable, persist-able, security/privacy protect-able, etc.
Artificial intelligence techniques in hydrology and water resources management
The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices.
Art in Focus
The premier art history text! This integrated, chronological approach to the study of art demonstrates the interrelationships of aesthetics, art criticism, art history, and studio art.
Architecture : Form, Space, and Order ; 5th ed.
Distills complex concepts of design into a clear focus and brings difficult abstractions to life. It explains form and space in relation to light, view, openings, and enclosures and explores the organization of space, and the elements and relationships of circulation, as well as proportion and scale. In addition, the text's detailed illustrations demonstrate the concepts presented and reveal the relationships between fundamental elements of architecture through the ages and across cultures.
Application of numerical methods in engineering problems using MATLAB
Presents an analysis of structures using numerical methods and mathematical modeling. This structural analysis also includes beam, plate, and pipe elements, and examines deflection and frequency or buckling loads. The various engineering theories of beams/plates/shells are comprehensively presented, and the relationships between stress and strain, and the governing equations of the structure are extracted. To solve governing equations with numerical methods, there are two general types, including methods based on derivatives or integrals. Derivative-based methods have the advantage of flexibility in modeling boundary conditions, low analysis time, and a very high degree of accuracy.
Anxiety in health behaviors and physical illness
While the links between physical illness and depression have been well-documented and analyzed, little has been made of the data relating physical illness to anxiety—until now. Anxiety in Health Behavior and Physical Illness explores complex relationships between medical and anxiety pathology on the theoretical, research, and practical fronts. Over forty experts examine reciprocal roles of anxiety and medical illness as causal or exacerbating factors in each other’s onset and development, describe forms of anxiety typical to major disease entities, discuss common health behaviors as they impact anxiety, recast anxiety disorders as chronic illness, and identify patients for whom new forms of treatment may be warranted.
Animals in Our Midst : The Challenges of Co-existing with Animals in the Anthropocene
This book brings together authoritative voices in animal and environmental ethics, who address the many different facets of changing human-animal relationships in the Anthropocene. As we are living in complex times, the issue of how to establish meaningful relationships with other animals under Anthropocene conditions needs to be approached from a multitude of angles. This book offers the reader insight into the different discussions that exist around the topics of how we should understand animal agency, how we could take animal agency seriously in farms, urban areas and the wild, and what technologies are appropriate and morally desirable to use regarding animals. This book is of interest to both animal studies scholars and environmental ethics scholars, as well as to practitioners working with animals, such as wildlife managers, zookeepers, and conservation biologists.
Analysis I
Logical thinking, the analysis of complex relationships, the recognition of und- lying simple structures which are common to a multitude of problems — these are the skills which are needed to do mathematics, and their development is the main goal of mathematics education. Of course, these skills cannot be learned ‘in a vacuum’. Only a continuous struggle with concrete problems and a striving for deep understanding leads to success. A good measure of abstraction is needed to allow one to concentrate on the essential, without being distracted by appearances and irrelevancies. The present book strives for clarity and transparency. Right from the beg- ning, it requires from the reader a willingness to deal with abstract concepts, as well as a considerable measure of self-initiative. For these e?orts, the reader will be richly rewarded in his or her mathematical thinking abilities, and will possess the foundation needed for a deeper penetration into mathematics and its applications.
Ambient intelligence for scientific discovery : Foundations, theories, and systems
Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions. Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources. Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine.
Algorithms in Bioinformatics : Theory and Implementation
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields. Delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory and interpretation. The book covers many key areas of bioinformatics, including global and local sequence alignment, forced alignment, detection of motifs, Sequence logos, Markov chains or information entropy. Other novel approaches are also described, such as Self-Sequence alignment, Objective Digital Stains (ODSs) or Spectral Forecast and the Discrete Probability Detector (DPD) algorithm. Readers will also benefit from the inclusion of: A detailed presentation of new methods, such as Self-sequence alignment, Objective Digital Stains and Spectral Forecast ; A treatment of sequence alignment, including local sequence alignment, global sequence alignment and forced sequence alignment with full implementations ; Discussions of position-specific weight matrices, including the count, weight, relative frequencies, and log-likelihoods matrices ; A detailed presentation of the methods related to Markov Chains as well as a description of their implementation in Bioinformatics and adjacent fields ; An examination of information and entropy, including sequence logos and explanations related to their meaning ; A chapter on philosophical transactions that allows the reader a broader view of the prediction process ; Extensive worked examples with detailed case studies that point out the meaning of different results
Agency and causal explanation in economics
This book provides an exploration of the consequences of the ontological differences between natural and social objects (sometimes described as objects of nature and objects of thought) in the workings of causal and agency relationships.
Advanced Techniques in Knowledge Discovery and Data Mining
This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis .
Advanced structural chemistry : Tailoring properties of inorganic materials and their applications ; 3 Vols.
Advanced Structural Chemistry clarifies the relationships between synthesis and structure, as well as structure and property, both of which are central to the creation of new materials with unique functions. In addition to subjects like the syntheses of metal-oxide clusters, metal-organic cages, and metal-organic frameworks with tailored optical, electric, ferroelectric, magnetic, adsorption, separation, and catalytic properties, the accomplished editor Rong Cao provides readers with information on a wide variety of topics
Advanced organic chemistry ; Part A : structure and mechanisms
Advanced Organic Chemistry Part A provides a close look at the structural concepts and mechanistic patterns that are fundamental to organic chemistry. It relates those mechanistic patterns, including relative reactivity and stereochemistry, to underlying structural factors. Understanding these concepts and relationships will allow students to recognize the cohesive patterns of reactivity in organic chemistry. Part A: Structure and Mechanism and Part B: Reaction and Synthesis - taken together - are intended to provide the advanced undergraduate or beginning graduate student in chemistry with a foundation to comprehend and use the research literature in organic chemistry
Account management strategies in B2B sales : Generating customer value and building sustainable business relationships - methodology, processes, tools
Provides employees and managers in sales with a clearly defined process for building sustainable business relationships along the account journey. Using a structured method, you will learn how to set yourself up for success right from the start, increase your competitiveness, increase market share and generate more sales.
A First Course in Statistics for Signal Analysis
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation.
