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Quantitative structure-activity relationship (QSAR) models of mutagens and carcinogens By Romualdo Benigni
2003 | 286 Pages | ISBN: 0849315077 | PDF | 8 MB
Content: General introduction to QSAR / Rainer Franke and Andreas Gruska -- Mechanisms of action of chemical carcinogens and their role in structure-activity relationships (SAR) analysis and risk assessment / Yin-Tak Woo and David Y. Lai -- QSARs for individual classes of chemical mutagens and carcinogens / Laura Passerini -- QSARs for the mutagenicity and carcinogenicity of the aromatic amines / Romualdo Benigni ... [et al.] -- Public sources of mutagenicity and carcinogenicity data / Ann M. Richard and ClarLynda R. Williams -- SAR in the assessment of carcinogenesis / Herbert S. Rosenkranz -- Predicting mutagenicity of congeneric and diverse sets of chemicals using computed molecular descriptors / Subhash C. Basak ... [et al.] -- Quantitative structure-activity relationships for acute aquatic toxicity / Mark T.D. Cronin -- SARs and QSARs of mutagens and carcinogens / Romualdo Benigni.

Mark Deakin, "Property Management: Corporate Strategies, Financial Instruments and the Urban Environment"
English | ISBN: 1138247383 | 2016 | 160 pages | EPUB | 2 MB
Drawing upon a number of international property management projects, this book outlines the issues underlying the development of property management. Addressing key topics such as value for money, economy, efficiency and effectiveness, it focuses on corporate strategies and financial instruments of property management. It examines how managers are responsible for developing the corporate strategies and financial instruments required to provide a comprehensive appraisal of the land and buildings that make up the built environment. It outlines a framework for analysis and provides a directory of the environmental assessment methods currently available.

Prominent Algonquian Tribes: The History of the Shawnee, Cheyenne, Arapaho, Chippewa, and Blackfeet by Charles River Editors
English | March 22, 2015 | ISBN: 1508988706 | 204 pages | EPUB | 4.83 Mb
*Includes pictures *Includes accounts of the tribes written by contemporaries *Includes bibliographies for further reading *Includes a table of contents Throughout the 19th century, American settlers pushing across the Western frontier came into contact with diverse American tribes, producing a series of conflicts ranging from the Great Plains to the Southwest, from the Trail of Tears to the Pacific Northwest. Indian leaders like Geronimo became feared and dreaded men in America, and Sitting Bull's victory over George Custer's 7th Cavalry at Little Bighorn was one of the nation's most traumatic military endeavors. Given this history, it's no surprise that the Shawnee continue to be closely associated with their most famous leader, Tecumseh, the most famous Native American of the early 19th century. While leading the Shawnee, he attempted to peacefully establish a Native American nation east of the Mississippi River in the wake of the American Revolution. One of the most famous Native American tribes on the Great Plains is the Cheyenne, and their fame may be surpassed only by their influence on American history. Having split off from other groups around the 16th-17th centuries, the Cheyenne shifted from a sedentary agricultural society to the kind of nomadic g.roup many envision when thinking of groups on the Plains. But it was land disputes and conflicts with white settlers and the Cheyenne that set in motion the chain of events that led to the most famous battle among Native Americans and the American government: the Battle of the Little Bighorn. Like other notable Plains tribes, the Arapaho split off from other groups around the 16th-17th centuries and shifted from a sedentary agricultural society to the kind of nomadic group many envision when thinking of groups on the Plains. That nomadic lifestyle brought them into contact with the Sioux and Cheyenne, both of whom became allies as white settlers pushed west and led to conflicts. The United States sought to defuse tensions with natives during the westward push by drafting treaties regarding major pieces of land, often without understanding the complex structure of the various tribes, and subgroups within those tribes. Most notably, the Arapaho were victims of the Sand Creek Massacre in 1864, an action considered so heinous that the leader of the attack, Colonel John Chivington, was actually relieved of command after it. Outside of the Midwest, the Chippewa are not as well-known as other Native American tribes like the Sioux or Cherokee, but they have long been one of the biggest groups in all of North America. Not surprisingly, their presence around the Great Lakes region made them especially important to early European explorers who sailed the St. Lawrence and came into contact with the natives as they continued searching for the Northwest Passage. The French in particular conducted substantial fur trading with the Chippewa, and it is thanks to the European explorers that the various groups have all been identified as Chippewa today. The territory of the Blackfeet, at its greatest extent, encompassed a vast area from the eastern Rocky Mountains of Alberta and Montana and extending several hundred miles out onto the Great Plains, around the upper reaches of the Saskatchewan River and its tributaries in Alberta and the upper reaches of the Missouri River and its tributaries in Montana. The area of the land most sacred to the Blackfeet is the Sweet Grass Hills, which are located just south of the Canadian border in the central part of Montana. These are a group of buttes forested with balsam firs rising several thousand feet above the surrounding plains and which can be seen for a considerable distance. This was also Napi's favorite resting place in the mythology of the Blackfeet. Young Blackfeet went up into the Hills on their vision quests and, as their predecessors had done for several thousands of years, left inscriptions and petroglyphs.

Prognostic Models in Healthcare: AI and Statistical Approaches
English | 2022 | ISBN: 9811920567 | 526 Pages | PDF EPUB (True) | 79 MB
This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

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Dl4All is download free for all software and educational resource. With a little searching, you can download what you need for free without spending any money.

Dl4All - Download free For All: software and educational resource.

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Quantitative structure-activity relationship (QSAR) models of mutagens and carcinogens

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Property Management Corporate Strategies, Financial Instruments and the Urban Environment

Prominent Algonquian Tribes The History of the Shawnee, Cheyenne, Arapaho, Chippewa, and Blackfeet

Progress in Artificial Intelligence and Pattern Recognition

Programming iOS with Swift 5.3 From Basic To Advanced Crash Course

Prognostic Models in Healthcare AI and Statistical Approaches

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