Chen Li Knihy

Meet Detective Beans, the best kitten detective in town, equipped with his tie, brown trench coat, and--GASP. It's gone! His detective hat is missing! Follow along to discover the charming, whimsical, and mysterious world of Detective Beans. Meet Detective Beans (just Beans for short), a young cat sleuth dedicated to doing whatever it takes to solve the case. After a night of mystery movies with his best friend, Biscuit, Detective Beans wakes up to find his detective hat is missing. There's only one thing to do: hit the streets of Cat Town and find that missing hat! Cat Town is full of suspects, from the neighborhood bird to a magician in the park, and each twist and turn in this journey leads to an interesting new encounter -- and to solving a much bigger case than Beans could have imagined. Brilliantly written and illustrated by New Zealand comic artist Li Chen, creator of the internationally popular ExtraOrdinary Comics, Detective Beans and the Case of the Missing Hat is filled with charming cat capers, warm-hearted humor, and detective stories all in the form of a graphic novel that will entertain comics fans and middle grade readers everywhere.

Exploring the intersection of digital functions and data reconstruction, this work delves into digital-discrete methods that enhance the accuracy and efficiency of data analysis. It covers theoretical foundations and practical applications, making it valuable for researchers and practitioners in fields like signal processing and computer science. The book emphasizes innovative techniques for reconstructing data from discrete samples, providing insights into algorithmic approaches and their implications for modern technology.

The book challenges conventional narratives about China's industrial reform, asserting that they overlook the enduring presence of a centrally controlled governance system. It explores the ongoing experimentation with new practices and the evolution of institutions within this framework. By highlighting the diverse and adaptable nature of China's industrial reform, the author presents a more nuanced understanding of the complexities involved, moving beyond the simplistic view of a transition to a liberal market economy.

Im Fokus der Magisterarbeit stehen vier literaturhistorische Studien, die zwischen 1835 und 1883 verfasst wurden und das klassische Jahrzehnt von Goethe und Schiller als Höhepunkt der deutschen Literaturgeschichte darstellen. Anstatt einen Kern der Weimarer Klassik zu analysieren, untersucht die Arbeit die rezeptionsgeschichtliche Frage, wie die Allianz zwischen diesen beiden bedeutenden Autoren in den Literaturgeschichten des 19. Jahrhunderts interpretiert und bewertet wurde. Dies bietet einen tiefen Einblick in die literarische Wahrnehmung und deren Entwicklung im deutschen Kontext.

Focusing on the downward entailing hypothesis, this book presents a compelling argument that it serves as the sole licensor for various Chinese polarity items. It critiques the role of non-veridicality, asserting that it lacks both necessity and sufficiency in explaining these linguistic phenomena, ultimately demonstrating that downward entailment provides a more robust framework for understanding Chinese polarity items.

This book tracks the evolution of modern Chinese society. It examines the changes in the economic and political structure of modern Chinese society, the evolution of urban and rural grassroots organizations, and the social changes and the new cultural movement provoked by unequal treatises. It provides a comprehensive discussion and analysis of the internal and external factors which lead to social change, including political ideology, philosophy, literary trends, and social attitudes in modern China.

This book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and BigData. The author investigates digital geometry and its related constructive methods in discrete geometry, offering detailed methods and algorithms. The book is divided into five sections: basic geometry; digital curves, surfaces and manifolds; discretely represented objects; geometric computation and processing; and advanced topics. Chapters especially focus on the applications of these methods to other types of geometry, algebraic topology, image processing, computer vision and computer graphics. Digital and Discrete Geometry: Theory and Algorithms targets researchers and professionals working in digital image processing analysis, medical imaging (such as CT and MRI) and informatics, computer graphics, computer vision, biometrics, and information theory. Advanced-level students in electrical engineering, mathematics, and computer science will also find this book useful as a secondary text book or reference.

„Kunden werden Koenig des Unternehmens“. Das Unternehmen muss die Bedürfnisse seiner Kunden ergründen. Effizientes Kundenmanagement ist somit die Voraussetzung für den Erfolg einer Firma. Für Unternehmen ist folgende Information sehr wichtig: Wer sind beispielweise seine profitablen Kunden? Was denken Kunden über es? Hat es bereits die Ansprüche der Kunden erkannt und erfüllt? Wird im Unternehmen die Profitabilität der Kunden berücksichtigt? Bleibt es langfristig attraktiv für seine Kunden? Ist es darüber hinaus in der Lage, neue Kunden zu gewinnen und verlorene Kunden wiederzugewinnen? usw. Hier befasst sich die Autorin Li Chen vor allen Dingen mit den Kennzahlen Kundenstruktur, Kundenzufriedenheit, Kundenwert usw. im Kundencontrolling. Weiterhin hat sie sich zum Ziel gesetzt aufzuzeigen, wie diese Kundenkennzahlen bemessen und verarbeitet werden, um die Information für das richtige Kundenmanagement zu gewinnen. Mit Hilfe einer Kundenstrukturanalyse werden die Merkmale der Kundengruppen festgelegt. Darüber hinaus wird erläutert, wie diese Kennzahlen in das bestehende Kennzahlensystem eingebettet werden können und wie die einzelnen Unternehmensebenen mit diesen Kennzahlen umgehen. Zusätzlich wird die Beschränkung der Kennzahlen sowie des Kennzahlensystems im weiteren Verlauf der Arbeit berücksichtigt. Auch das Kundencontrolling die wesentlichen Erfolgsfaktoren im wirtschaftlichen Wettbewerb darstellt, damit werden kundenbezogene Kennzahlen innerhalb und mit diesem Begriff konkret operationalisiert. Die Konsequenzen aus dem Einsatz der Kennzahlen und Kennzahlensysteme werden in der Zukunft bei den Unternehmenscontrollern fortgeführt und vertiefent diskutiert. Dazu kann das Unternehmen sich immer mehr den Kundenbedürfnissen und Markterfordernissen anpassen sowie es sich gleichzeitig an diesen zu orientieren hat.

In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems need to be addressed. To this end, the first approach is a general supervised learning method, which consists of image segmentation, shape feature extraction, classification, and feature fusion, leading to a semi-automatic approach. In contrast, the second approach is a WSL method, which contains Sparse Coding (SC) feature extraction, classification, and feature fusion, leading to a full-automatic approach. In this WSL approach, the problems of noisy image and object recognition are jointly resolved by a region-based classifier, and the image rotation problem is figured out through SC features. To demonstrate the usefulness and potential of the proposed methods, experiments are implemented on different practical biological tasks, including environmental microorganism classification, stem cell analysis, and insect tracking.