Cities built on unconsolidated sediments consisting of clays, silt, peat, and sand, are particularly susceptible to subsidence. Such regions are common in delta areas, where rivers empty into the oceans, along flood plains adjacent to rivers, and in coastal marsh lands. Building cities in such areas aggravates the problem for several reasons:
1. Construction of buildings and streets adds weight to the region causing additional soil deformations.
2. Often the regions have to be drained in order to be occupied. This results in lowering of the water table and leads to hydro-compaction.
3. Often the groundwater is used as a source of water for both human consumption and industrial use.
Earth fissures caused by ground failure in areas of uneven or differential compaction have damaged buildings, roads and highways, railroads, flood-control structures and sewer lines. As emphasized by Barends , "in order to develop a legal framework to claims and litigation, it is essential that direct and indirect causes of land subsidence effects can be quantified with sufficient accuracy from a technical and scientific point of view."
Most existing methods and software applications treat the subsidence problem by analyzing one of the causes. This is due to the fact that the causes appear at different spatial scales. For example, over-pumping creates large scale subsidence, while building loading creates local subsidence/consolidation only.
Then, maximum permissible land subsidence (or consolidation) is a constraint in different management problems such as: groundwater management, planning of town and/or laws on building construction. It is, therefore, necessary to quantify the contribution of each cause to soil subsidence of the ground surface in cities urban area.
In this text book, we present an engineering approach based on the Biot system of equations to predict the soil settlement due to subsidence, resulting from different causes. Also we present a case study of The Bangkok Metropolitan Area (BMA).
This monograph presents a new, systematic treatment of the relation between classifying topoi and classifying spaces of topological categories. Using a new generalized geometric realization which applies to topoi, a weak homotopy equival- ence is constructed between the classifying space and the classifying topos of any small (topological) category. Topos theory is then applied to give an answer to the question of what structures are classified by "classifying" spaces.
The monograph should be accessible to anyone with basic knowledge of algebraic topology, sheaf theory, and a little topos theory.
DNA Isolation and Sample Preparation for Quantification of Adduct Levels by Accelerator Mass Spectrometry
Analysis of DNA Double-Strand Break Repair by Nonhomologous End Joining in Cell-Free Extracts From Mammalian Cells
New state-of-the-art molecular techniques promise to transform the field of genetic toxicology by making it possible to directly detect genotoxic exposures and their consequences in humans, to identify the agent(s) involved, and to clinically manage the exposed population. In Molecular Toxicology Protocols, researchers from prominent universities and cancer centers around the world describe in detail their best techniques for analyzing genotoxic exposure and the resulting biological effects, including intermediate biomarkers such as DNA and chromosomal damage, mutations in reporter and oncogenes, and the earliest possible detection of cancer. The authors emphasize analytical methods specifically developed for use in human populations and in cancer patients, or in other in vivo systems such as transgenic mice. Among the applications detailed are the analysis of interactions of chemical and physical agents with cellular macromolecules, especially DNA, the assessment of medically relevant toxicity, and the individualized characterization of genetic damage and repair. There are also methods to assess and characterize the modulation of this damage and repair through individual differences in specific and genome-wide gene expression, including metabolic profiling and apoptotic capacity. These methods mark a shift in emphasis from studies of the agents themselves to the exposed population, and from studies of small populations with significant known exposures to a single agent, to studies of common diseases, such as breast cancer, caused by normal levels of generalized genotoxic exposure. The protocols follow the successful Methods in Molecular Biology™ series format, each offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.
Comprehensive and highly practical, Molecular Toxicology Protocols offers a gold-standard collection of cutting-edge techniques designed to investigate a broad range of exposures-endogenous, accidental, medical, environmental, and occupational-and their role in human carcinogenesis and other diseases of aging.
A package to perform differential network analysis, differential node analysis (differential coexpression analysis), network and metabolic pathways view.
Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices.
A package implementing mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices. Model fitting is carried out by means of a structural-EM algorithm for parameter estimation and graph structure search.