Jayne Gooding's harrowing, painful, empathetic and remarkable fictional sequel continues into the 1980s and 90s. A time of rave culture, football hooligans, hard drugs and the AIDS epidemic. Lucy Penfold, now a Police Sergeant, transfers from Devon to Sussex following the breakdown of her unexpected, vibrant, delightful yet intense relationship with Pippa. Can Lucy deal with the deeply rooted sexism and overcome the belief, by some of her Senior Officers, that female officers were there to simply make up the numbers? Will Lucy survive her battle to do the right thing and break the unwritten code amongst police officers while discovering that Pippa, now bitter and resentful, is in Sussex and plotting against her?

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step, to the final converged parameters and predictions. This book teaches readers to create their own neural networks with dense and convolutional layers, and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning, witnessing AI achieve super-human performance in Atari games such as Breakout, Space Invaders, Seaquest and Beam Rider. Written in a clear and concise style, illustrated with animations and images, this book is particularly appealing to readers with no background in computer science, mathematics or statistics. Access the book's repository at: https://github.com/markhliu/MLA

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.

which successfully passed the QA-process (i.e., met the Data Quality Objectices) were included into the TFS-central data bank. The following summary of major results obtained in TFS would not have been possible without the contribution of many experimentalists and modellers participating in this project. I would like to thank these colleagues for their support. All participants are grateful for the financial support by the BMBF and for the assistance by the Projekttragerschaft (UKF-GSF-Miinchen). Garmisch-Partenkirchen, WOLFGANG SEILER February 2002 DEVELOPMENT AND APPLICATION OF A MESOSCALE MODEL HIERARCHY FOR THE DIAGNOSIS AND FORECAST OF THE DISTRIBUTION OF POLLUTANTS OVER GERMANY AND EUROPE Journal of Atmospheric Chemistry 42: 5-22, 2002. 5 (c) 2002 Kluwer Academic Publishers. An Empirical, Receptor-Based Procedure for Assessing the Effect of Different Ozone Mitigation Strategies WOLFGANG FRICKE, WINFRIED VANDERSEE and STEFAN GILGE Deutscher Wetterdienst, Meteorologisches Observatorium, Albin-Schwaiger-Weg 10, D-82383 Hohenpeissenberg, Germany, e-mail: [email protected] (Received: 6 November 2000; in final form: 29 May 2(01) Abstract. The paper presents a new receptor-based approach for investigating the effect of differ- ent mitigation strategies on surface ozone concentrations. The empirical approach relates measured ozone concentrations to 3-D back trajectories and European precursor emission data (NOx, VOC, isoprene). These are the only parameters used as input. Following a description of the method, results for two German stations, an urban and a rural mountain site, are described, and discussed in detail.

Silicon photonics technology, which has the DNA of silicon electronics technology, promises to provide a compact photonic integration platform with high integration density, mass-producibility, and excellent cost performance. This technology has been used to develop and to integrate various photonic functions on silicon substrate. Moreover, photonics-electronics convergence based on silicon substrate is now being pursued. Thanks to these features, silicon photonics will have the potential to be a superior technology used in the construction of energy-efficient cost-effective apparatuses for various applications, such as communications, information processing, and sensing. Considering the material characteristics of silicon and difficulties in microfabrication technology, however, silicon by itself is not necessarily an ideal material. For example, silicon is not suitable for light emitting devices because it is an indirect transition material. The resolution and dynamic range of silicon-based interference devices, such as wavelength filters, are significantly limited by fabrication errors in microfabrication processes. For further performance improvement, therefore, various assisting materials, such as indium-phosphide, silicon-nitride, germanium-tin, are now being imported into silicon photonics by using various heterogeneous integration technologies, such as low-temperature film deposition and wafer/die bonding. These assisting materials and heterogeneous integration technologies would also expand the application field of silicon photonics technology. Fortunately, silicon photonics technology has superior flexibility and robustness for heterogeneous integration. Moreover, along with photonic functions, silicon photonics technology has an ability of integration of electronic functions. In other words, we are on the verge of obtaining an ultimate technology that can integrate all photonic and electronic functions on a single Si chip. This e-Book aims at covering recent developments of the silicon photonic platform and novel functionalities with heterogeneous material integrations on this platform.

Synchrotron radiation is the name given to the radiation which occurs when charged particles are accelerated in a curved path or orbit. Classically, any charged particle which moves in a curved path or is accelerated in a straight-line path will emit electromagnetic radiation. Various names are given to this radiation in different contexts. Thus circular particle accelerators are called synchrotrons, this is where charged particles are accelerated to very high speeds and the radiation is referred to as synchrotron radiation. Suitable for a summer short course or one term lecture series this text introduces the subject, starting with some historical background then covering basic concepts such as flux, intensity, brilliance, emittance and Liouville's theorem. The book then covers the properties of synchrotron radiation, insertion devices, beamlines and monochromators before finishing with an introduction to free electron lasers and an overview of the most common techniques and applications of this technology.