The Nest of Students

If the type happens to be a pilecap, it can determine a number of pile arrangements and design the pilecap for the arrangment that we choose. Data can also be brought from spreadsheets (e.g., such as that in Microsoft Office Excel) into STAAD Foundation Advanced. The output from the program includes customizable reports of the calculations performed, general arrangement drawings, and schedule drawings. The reports are a useful tool for line by line checks to determine the correctness of the calculations if the engineer wishes to do so. The program’s graphical interface enables users to view the displaced shapes, shear and moment diagrams, stress distribution, and, reinforcement layout.

Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource. You'll find more than 350 recipes for over a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages.

Whether you're a data analyst, project manager, financial analyst, or regular Excel user, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast.

Build compelling charts and use Sparklines, 3D Maps, and other visualizations + Use PivotTables to slice, dice, and summarize datasets + Perform statistical and financial analyses using formulas, Forecast Sheets, the Analysis ToolPak, and more + Master dynamic array functions such as SEQUENCE, TEXTSPLIT, and FILTER + Use Power Query to import, shape, and combine datasets + Create custom functions using LAMBDA formulas + Use developer options to write VBA code and create custom UserForms.

Use Python without extensive programming knowledge + Get started with modern tools, including Jupyter notebooks and Visual Studio code + Use pandas to acquire, clean, and analyze data and replace typical Excel calculations + Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports + Use xlwings to build interactive Excel tools that use Python as a calculation engine + Connect Excel to databases and CSV files and fetch data from the internet using Python code + Use Python as a single tool to replace VBA, Power Query, and Power Pivot.

Future microwave, wireless communication systems, computer chip designs, and sensor systems will require miniature fabrication processes in the order of nanometers or less as well as the fusion of various material technologies to produce composites consisting of many different materials. This requires distinctly multidisciplinary collaborations, implying that specialized approaches will not be able to address future world markets in communication, computer, and electronic miniaturized products.

Anticipating that many students lack specialized simultaneous training in magnetism and magnetics, as well as in other material technologies, Magnetics, Dielectrics, and Wave Propagation with MATLABR Codes avoids application-specific descriptions, opting for a general point of view of materials per se. Specifically, this book develops a general theory to show how a magnetic system of spins is coupled to acoustic motions, magnetoelectric systems, and superconductors. Phenomenological approaches are connected to atomic-scale formulations that reduce complex calculations to essential forms and address basic interactions at any scale of dimensionalities. With simple and clear coverage of everything from first principles to calculation tools, the book revisits fundamentals that govern magnetic, acoustic, superconducting, and magnetoelectric motions at the atomic and macroscopic scales, including superlattices. Constitutive equations in Maxwell’s equations are introduced via general free energy expressions which include magnetic parameters as well as acoustic, magnetoelectric, semiconductor, and superconducting parameters derived from first principles. More importantly, this book facilitates the derivation of these parameters, as the dimensionality of materials is reduced toward the microscopic scale, thus introducing new concepts. The deposition of ferrite films at the atomic scale complements the approach toward the understanding of the physics of miniaturized composites. Thus, a systematic formalism of deriving the permeability or the magnetoelectric coupling tensors from first principles, rather than from an ad hoc approach, bridges the gap between microscopic and macroscopic principles as applied to wave propagation and other applications.

Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment.

After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single-level and multilevel data.

The third edition of the book includes several new topics that were not present in the second edition. Specifically, a new chapter has been included, focussing on fitting multilevel latent variable modeling in the R environment. With R, it is possible to fit a variety of latent variable models in the multilevel context, including factor analysis, structural models, item response theory, and latent class models. The third edition also includes new sections in Chapter 11 describing two useful alternatives to standard multilevel models, fixed effects models and generalized estimating equations. These approaches are particularly useful with small samples and when the researcher is interested in modeling the correlation structure within higher-level units (e.g., schools). The third edition also includes a new section on mediation modeling in the multilevel context, in Chapter 11.

This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research.