Tag: Model

Free Download Volvo Model by Model
by Tilbrook, Martin;
English | 2023 | ISBN: 0719842115 | 160 pages | True EPUB | 65.9 MB

Free Download The Pricing Model Revolution: How Pricing Will Change the Way We Sell and Buy On and Offline by Danilo Zatta
English | April 25, 2022 | ISBN: 1119900573 | 256 pages | MOBI | 2.93 Mb
An incisive and accessible blueprint to pricing your company’s products and services

Free Download Module 3 The Biopsychosocial Model And The Science Of Pain
Published 6/2023
Created by Chrys Kub
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Lectures ( 3h 29m ) | Size: 1.67 GB

Free Download From Photo to Realistic 3d model in Blender, step-by-step
Published 6/2023
Created by Sime Bugarija
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 Lectures ( 2h 35m ) | Size: 2.38 GB

Free Download Science Without Laws: Model Systems, Cases, Exemplary Narratives By Angela N. H. Creager (editor), Elizabeth Lunbeck (editor), M. Norton Wise (editor)
2007 | 287 Pages | ISBN: 0822340461 | PDF | 12 MB
Physicists regularly invoke universal laws, such as those of motion and electromagnetism, to explain events. Biological and medical scientists have no such laws. How then do they acquire a reliable body of knowledge about biological organisms and human disease? One way is by repeatedly returning to, manipulating, observing, interpreting, and reinterpreting certain subjects&;such as flies, mice, worms, or microbes&;or, as they are known in biology, &;model systems.&; Across the natural and social sciences, other disciplinary fields have developed canonical examples that have played a role comparable to that of biology&;s model systems, serving not only as points of reference and illustrations of general principles or values but also as sites of continued investigation and reinterpretation. The essays in this collection assess the scope and function of model objects in domains as diverse as biology, geology, and history, attending to differences between fields as well as to epistemological commonalities.Contributors examine the role of the fruit fly Drosophila and nematode worms in biology, troops of baboons in primatology, box and digital simulations of the movement of the earth&;s crust in geology, and meteorological models in climatology. They analyze the intensive study of the prisoner&;s dilemma in game theory, ritual in anthropology, the individual case in psychoanalytic research, and Athenian democracy in political theory. The contributors illuminate the processes through which particular organisms, cases, materials, or narratives become foundational to their fields, and they examine how these foundational exemplars&;from the fruit fly to Freud&;s Dora&;shape the knowledge produced within their disciplines.ContributorsRachel A. AnkenyAngela N. H. CreagerAmy Dahan DalmedicoJohn ForresterClifford GeertzCarlo GinzburgE. Jane Albert HubbardElizabeth LunbeckMary S. MorganJosiah OberNaomi OreskesSusan SperlingMarcel WeberM. Norton Wise

Free Download Model Order Reduction and Applications: Cetraro, Italy 2021
English | 2023 | ISBN: 3031295625 | 230 Pages | PDF EPUB (True) | 38 MB
This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.

Free Download The General Linear Model: A Primer
English | 2023 | ISBN: 1009322176 | 190 Pages | PDF | 4 MB
General Linear Model methods are the most widely used in data analysis in applied empirical research. Still, there exists no compact text that can be used in statistics courses and as a guide in data analysis. This volume fills this void by introducing the General Linear Model (GLM), whose basic concept is that an observed variable can be explained from weighted independent variables plus an additive error term that reflects imperfections of the model and measurement error. It also covers multivariate regression, analysis of variance, analysis under consideration of covariates, variable selection methods, symmetric regression, and the recently developed methods of recursive partitioning and direction dependence analysis. Each method is formally derived and embedded in the GLM, and characteristics of these methods are highlighted. Real-world data examples illustrate the application of each of these methods, and it is shown how results can be interpreted.

Free Download Stem Cell-Based Neural Model Systems for Brain Disorders
English | 2023 | ISBN: 1071632868 | 305 Pages | PDF EPUB (True) | 36 MB
This detailed volume presents validated and well-adapted procedures involving humanized and/or stem cell-based neural model systems that have proven helpful in better understanding the essential brain functions involved in the pathogenesis of brain disorders. The book explores the generation of multiple neural cell types in 2D and 3D as well as cutting-edge techniques to assay neural function. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Free Download Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis
English | 2023 | ISBN: 303127539X | 587 Pages | PDF EPUB (True) | 58 MB
The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control.

Free Download Multiscale Model Reduction: Multiscale Finite Element Methods and Their Generalizations
English | 2023 | ISBN: 3031204085 | 491 Pages | PDF EPUB (True) | 103 MB
Multiscale numerical methods have become popular tools for modeling processes with multiple scales. These methods allow reducing the degrees of freedom based on local offline computations. Moreover, these methods allow deriving rigorous macroscopic equations for multiscale problems without scale separation and high contrast. Multiscale methods are also used to design efficient solvers.