Solve biological problems

Ebook "Applied environmental biotechnology: Present scenario and future trends" is designed to serve as a reference book for students and researchers working in the area of applied environmental science. It presents various applications of environmental studies that involve the use of living organisms, bioprocesses engineering technology, and other fields in solving environmental problems like waste and waste waters.

178p giangdongdinh 28-05-2024 5 1   Download

Ebook "Fiber plants: Biology, biotechnology and applications" assesses the potential effects of biotechnological approaches, particularly genetic modification, on the present state of fiber crop cultivation and sustainable production. Leading international researchers discuss and explain how biotechnology can affect and solve problems in connection with fiber crops. The topics covered include biology, biotechnology, genomics and applications of fiber crops like cotton, flax, jute and bamboo.

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Ebook "Introduction to computational molecular biology" brings together major results in the field, in coherent and readable format. Setubal and Meidanis present a representative sample of problems in molecular biology, focusing on the algorithms that have been proposed to solve them. Readers will find background material on molecular biology, definitions of key terms, descriptions of models, and a full sample of algorithmic results.

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Ebook "Electron paramagnetic resonance: Elementary theory and practical applications (Second edition)" provides an introduction to the underlying theory, fundamentals, and applications of EPR spectroscopy, as well as new developments in the area. Knowledge of the topics presented will allow the reader to interpret of a wide range of EPR spectra, as well as help them to apply EPR techniques to problem solving in a wide range of areas: organic, inorganic, biological, and analytical chemistry; chemical physics, geophysics, and minerology.

687p coduathanh1122 27-03-2024 2 1   Download

Ebook "Applied ecology and human dimensions in biological conservation" provides both the conceptual basis and technological tools that are necessary to identify and solve problems related to biodiversity governance. The authors discuss intriguing evolutionary questions, which involve the sometimes surprising adaptive capacity of certain organisms to dwell in altered and/or changing environments that apparently lost most of their structure and functionality.

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Ebook "Mathematical modelling in plant biology" describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations.

230p lamquandat 28-12-2023 3 2   Download

Critical thinking skills, play an important role in developing problem solving skills in learners, contributes to success in the workplace as well as in higher education because it prepares students for a global society. The study clarified its importance to learner’s success, and showed that almost high school students do not have critical thinking skills and the majority of high school teachers were not knowledgeable about critical thinking and how to teach it.

6p vipatriciawoertz 02-06-2022 18 1   Download

Lecture Introduction to Bioinformatics. After completing this section, you will understand knowledge about: Bioinformatics is an interdisciplinary science that develops and improves on methods of storing, retrieving, organizing and analyzing biological data. This computational techniques are to solve biological problems and discover the wealth of biological information hidden in biological data.

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Rice plants suffer from the rising temperature which is becoming more and more prominent. Mining heat-resistant genes and applying them to rice breeding is a feasible and effective way to solve the problem.

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DNA microarrays have become ubiquitous in biological and medical research. The most difficult problem that needs to be solved is the design of DNA oligonucleotides that (i) are highly specific, that is, bind only to the intended target, (ii) cover the highest possible number of genes, that is, all genes that allow such unique regions, and (iii) are computed fast. None of the existing programs meet all these criteria.

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Disruption of biological rhythms has been linked to the pathophysiology of mental disorders. However, little is known regarding the rhythmicity of mood symptoms due to the lack of validated clinical questionnaires.

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Optimization is the key to solving many problems in computational biology. Global optimization methods, which provide a robust methodology, and metaheuristics in particular have proven to be the most efficient methods for many applications. Despite their utility, there is a limited availability of metaheuristic tools.

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Obtaining an accurate sequence alignment is fundamental for consistently analyzing biological data. Although this problem may be efficiently solved when only two sequences are considered, the exact inference of the optimal alignment easily gets computationally intractable for the multiple sequence alignment case.

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The alignment of protein-protein interaction networks was recently formulated as an integer quadratic programming problem, along with a linearization that can be solved by integer linear programming software tools.

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Molecular evolution studies involve many different hard computational problems solved, in most cases, with heuristic algorithms that provide a nearly optimal solution. Hence, diverse software tools exist for the different stages involved in a molecular evolution workflow.

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Understanding complicated networks of interactions and chemical components is essential to solving contemporary problems in modern biology, especially in domains such as cancer and systems research. In these domains, biological pathway data is used to represent chains of interactions that occur within a given biological process.

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Classification of biological samples of gene expression data is a basic building block in solving several problems in the field of bioinformatics like cancer and other disease diagnosis and making a proper treatment plan. One big challenge in sample classification is handling large dimensional and redundant gene expression data.

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In computational biology, the physical mapping of DNA is a key problem. We know that the double digest problem (DDP) is NP-complete. Many algorithms have been proposed for solving the DDP, although it is still far from being resolved.

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In this article, the considered problem of Cauchy reaction diffusion equation of fractional order is solved by using integral transform of Laplace coupled with decomposition technique due to Adomian scheme. This combination led us to a hybrid method which has been properly used to handle nonlinear and linear problems. The considered problem is used in modeling spatial effects in engineering, biology and ecology. The fractional derivative is considered in Caputo sense. The results are obtained in series form corresponding to the proposed problem of fractional order.

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The proper management of solid waste, the concept of prevent and minimize waste and maximize reuse, recycling and use of environmentally friendly alternative materials. With increasing population made management of municipal solid waste (MSW) as a severe problem. In the present paper the aspects of urban organic solid waste management pertaining to agriculture application special emphasis to manure and fertilizers are reviewed. The application of organic solid waste materials in agriculture as a fertilizer has been highlighted.

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