Knihobot

Philip Nelson

    Physical Models of Living Systems
    From Photon to Neuron
    The Obsidional Money of the Great Rebellion, 1642-1649
    The Coinage of Ireland in Copper, tin and Pewter, 1460-1826
    The Coinage of William Wood, 1722-1733
    Biological Physics Student Edition
    • Biological Physics Student Edition

      • 584 stránek
      • 21 hodin čtení
      5,0(1)Ohodnotit

      Part I. Mysteries, metaphors, models. Chapter 1. What the ancients knew -- Chapter 2. What's inside cells -- Part II. Diffusion, dissipation, drive. Chapter 3. The molecular dance -- Chapter 4. Random walks, friction, and diffusion -- Chapter 5. Life in the slow lane : The low Reynolds-number world -- Chapter 6. Entropy, temperature, and free energy -- Chapter 7. Entropic forces at work -- Chapter 8. Chemical forces and self-assembly -- Part III. Molecules, machines, mechanisms. Chapter 9. Cooperative transitions in macromolecules -- Chapter 10. Enzymes and molecular machines -- Chapter 11. Machines in membranes -- Chapter 12. Nerve impulses -- Epilogue -- Appendix A. Global list of symbols and units -- Appendix B. Numerical values

      Biological Physics Student Edition
    • The Coinage of William Wood, 1722-1733

      • 64 stránek
      • 3 hodiny čtení
      4,0(1)Ohodnotit

      Philip Nelson's book provides a detailed look at the coinage produced by William Wood during the early 18th century. It's a fascinating glimpse into the economics and politics of the era.

      The Coinage of William Wood, 1722-1733
    • From Photon to Neuron

      Light, Imaging, Vision

      • 512 stránek
      • 18 hodin čtení

      Focusing on the interplay between light and biological systems, this book offers a thorough introduction suited for students. It presents an interdisciplinary approach, combining insights from various fields to enhance understanding. The author's expertise ensures a valuable resource for those exploring the complex relationships between light and biosystems.

      From Photon to Neuron
    • Physical Models of Living Systems

      Probability, Simulation, Dynamics

      • 492 stránek
      • 18 hodin čtení

      Focusing on the intersection of systems and synthetic biology with various scientific disciplines, this university textbook offers an engaging exploration of topics like epidemic modeling and imaging. It emphasizes discovery through reflective questions, encouraging readers to understand the gradual unraveling of complex biological mechanisms. By integrating classic results from fields such as statistical inference and neuroscience, it equips students with the skills to create stochastic simulations and fosters an appreciation for scientific advancement and future inquiry.

      Physical Models of Living Systems
    • Ancient Painted Glass in England 1170-1500

      • 408 stránek
      • 15 hodin čtení

      Recognized for its cultural significance, this work contributes to the foundational knowledge of civilization. Scholars have highlighted its importance, suggesting it offers valuable insights into historical contexts and societal developments.

      Ancient Painted Glass in England 1170-1500
    • Philip Nelson begann als Maler, integrierte zunehmen mineralische Stoffe, Artefakte und Fundgegenstände aus der natürlichen und menschengemachten Umwelt in seine Bilder. Mitte der neunziger Jahre erweiterte er seinen Schaffenskreis auf Skulpturen. Aus diesem reichhaltigen Schaffen wird hier ein kleiner charakteristischer Ausschnitt aus den letzten vier Jahren gezeigt. Die Gestaltungskraft des Künstlers erreicht eine neue Souveränität: Jeder geeignete Stoff kann dazu dienen, in den von ihm verantworteten Umwandlungsprozess einbezogen zu werden.

      Zyklus
    • "Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed."--

      A student's Guide to Python for Physical Modeling