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Medical Diagnosis
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Port Design
During the last two decades of the 20th century there was a considerable improvement in the design of port and berth structures. The purpose of this volume is to give guidelines and recommendations on some of the main design criteria for the planning and construction of modern port and berth structures. The book also includes material from many of the lectures by the author on berth and port structures in the Norwegian Institute of Technology, Department of Port and Ocean Engineering, Norway, Chalmers Institute of Technology, Department of Hydraulics, Sweden, and on postgraduate courses arranged by the Norwegian Society of Chartered Engineers. The key topics discussed include: ship dimensions and ship wind; layout of port and channels; manoeuvring and berthing operations; safety aspects in layout and design of berth structures; design loads on berth structures; solid and open berth structures; corrosion of steel sheet piles; fender design; and deterioration and repair of concrete in marine environments.
Abstracts of Papers
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Metal Casting and Welding
Metal casting is the process of producing metal or alloy component parts. In casting the metal is heated sufficiently to make it into liquid and then poured into moulds of the desired shape. Casting is most often used for making complex shapes so that would be difficult or uneconomical to make by other methods. Welding is a fabrication process that joins materials usually metals by using high heat to melt the parts together and allowing them to cool causing fusion. Many different energy sources can be used for welding including gas flame, electric arc, a laser and electron beam, friction and ultrasonic. Our hope is that this book, through its careful explanations and concepts and its use of sketches and figures bridges the gap between knowledge and proper application of that knowledge.
End-to-End Data Science with SAS
Learn data science concepts with real-world examples in SAS! End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary to develop machine learning models in any industry. The book covers concepts including understanding the business need, creating a modeling data set, linear regression, parametric classification models, and non-parametric classification models. Real-world business examples and example code are used to demonstrate each process step-by-step. Although a significant amount of background information and supporting mathematics are...
