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This is a book of a series on interdisciplinary topics of the Biological and Mathematical Sciences. The chapters correspond to selected papers on special research themes, which were presented at BIOMAT 2012 International Symposium on Mathematical and Computational Biology, in Tempe, Arizona, USA, November 6-10. This book contains state-of-the art articles on special research topics on mathematical biology, biological physics and mathematical modeling of biosystems; comprehensive reviews on interdisciplinary areas written by prominent leaders of scientific research groups. The treatment is both pedagogical and advanced in order to motivate research students as well as to fulfill the requirements of professional practitioners.
This is a book of a series on interdisciplinary topics of the Biological and Mathematical Sciences. The chapters correspond to selected papers on special research themes, which were presented at BIOMAT 2012 International Symposium on Mathematical and Computational Biology, in Tempe, Arizona, USA, November 6–10. This book contains state-of-the art articles on special research topics on mathematical biology, biological physics and mathematical modeling of biosystems; comprehensive reviews on interdisciplinary areas written by prominent leaders of scientific research groups. The treatment is both pedagogical and advanced in order to motivate research students as well as to fulfill the requirements of professional practitioners. Contents:Mathematical Epidemiology:Compartmental Age of Infection Epidemic Models (Fred Brauer)Mathematical Modelling of Infectious Diseases:Lyme Pathogen Transmission in Tick Populations with Multiple Host Species (Yijun Lou, Jianhong Wu and Xiaotian Wu)Quantifying the Risk of Mosquito-Borne Infections Basing on the Equilibrium Prevalence in Humans (Marcos Amaku, Francisco A B Coutinho and Eduardo Massad)Seasonal Fluctuation in Tsetse Fly Populations and Human African Trypanosomiasis: A Mathematical Model (T Madsen, D I Wallace and N Zupan)Modelling Physiological Disorders:A Mathematical Model for the Immunotherapy of Advanced Prostate Cancer (Travis Portz and Yang Kuang)Seizure Manifold of the Epileptic Brain: A State Space Reconstruction Approach (Mujahid N Syed, Pando G Georgiev and Panos M Pardalos)Synchronous Calcium Induced Calcium Release (CICR) in a Multiple Site Model of the Cardiac Myocyte (D I Wallace and J E Tanenbaum)Theoretical Immunology:Modelling Natural Killer Cell Repertoire Development and Activation Dynamics (Michal Sternberg-Simon and Ramit Mehr)Saturation Effects on T-Cell Activation in a Model of a Multi-Stage Pathogen (Michael Shapiro and Edgar Delgado-Eckert)Dynamic and Geometric Modelling of Biomolecular Structure:Advances in DE NOVO Protein Design for Monomeric, Multimeric, and Conformational Switch Proteins (James Smadbeck, George A Khoury, Meghan B Peterson, Christodoulos A Floudas)Mathematical Models and Techniques of Biomolecular Geometric Analysis (K L Xia, F Xin, Y Tong and G W Wei)Towards a New Bio-Quantum Model for Signaling and Repair of DNA Damage (A Martinez Aragon, J D de Toledo Arruda-Neto and Y Medina Guevara)Population Dynamics:Viral Evolution and Adaptation as a Multivariate Branching Process (F Antoneli, F Bosco, D Castro and L M Janini)Associative Learning of a Lexicon in a Noisy Cross-Situational Scenario (P F C Tilles and J F Fontanari)Relationship between Rainfall and Control Effectiveness of the Aedes aegypti Population Through a Non-Linear Dynamical Model: Case of Lavras City, Brazil (L B Barsante, R T N Cardoso, J L Acebal, M M Morais and A E Eiras)Spatiotemporal Dynamics of Telegraph Reaction-Diffusion Predator-Prey Models (Eliseo Hernandez-Martinez, Hector Puebla, Teresa Perez Munoz, Margarita Gonzalez Brambila and Jorge X Velasco-Hernandez)Population Dynamics of Spider Monkey (Ateles hybridus) in a Fragmented Landscape of Colombia (J M Cordovez, J R Arteaga B, M Marino, A G de Luna and A Link)Computational Biology:The Contribution of Stop Codon Frequency and Purine Bias to the Classification of Coding Sequences (N Carels and D Frias)Multiclass Classification of Tree Structured Objects: The K-NN Case (Ana Georgina Flesia)Optimal Control Techniques in Mathematical Modelling of Biological Phenomena:Regularity of Optimal Cost Functional Applied to Study of Environmental Pollution (Santina Arantes and Jaime Rivera)Pattern Recognition on Biological Phenomena:A Sensitivity Analysis of Gene Expression Model (N A Barbosa)A Wavelet-Based Time-Varying Irregular Vector Autoregressive Model (G E Salcedo, O E Molina and R F Porto) Readership: Graduate students, researchers and all practitioners in the interdisciplinary fields of Mathematical Biology, Biological Physics and Mathematical Modelling of Biosystems. Keywords:Mathematical Biology;Biomathematics;Mathematical Modelling of Biosystems;Biological Physics;Biophysics;Computational Biology;BioinformaticsReviews: “The book is interesting reading for graduate students and researchers interested in the interdisciplinary fields of Mathematical Biology, Biological Physics and Mathematical Modelling of Biosystems.” Acta Scientiarum Mathematicarum
This is a book of a series on interdisciplinary topics on the Biological and Mathematical Sciences. The chapters correspond to selected papers on special research themes, which have been presented at BIOMAT 2013 International Symposium on Mathematical and Computational Biology which was held in the Fields Institute for Research in Mathematical Sciences, Toronto, Ontario, Canada, on November 04 – 08, 2013. The treatment is both pedagogical and advanced in order to motivate research students as well as to fulfill the requirements of professional practitioners. There are comprehensive reviews written by prominent scientific leaders of famous research groups. Contents:Population Dynamics:The Princess and the Pea: The Unexpected Importance of Movement Algorithms (Rebecca Tyson)Plankton Nutrient Interaction Model with Harvesting under Constant Environment (Samares Pal and A Chatterjee)Traveling Wave Solutions for a Chemotaxis System (F Catrina and V M Reyes G)Dynamics of a General Stage Structured N Parallel Food Chains (Isam Al-Darabsah and Yuan Yuan)Pattern Recognition of Biological Phenomena:Complex Data Clustering: From Neural Network Architecture to Theory and Applications of Nonlinear Dynamics of Pattern Recognition (Guojun Gan, Jialun Yin, Yulia Wang and Jianhong Wu)Dynamic and Geometric Modelling of Biomolecular Structures:A Two-Step Kinetic Model of Insulin Aggregation with a Competitive Inhibitor (Mark Whidden, Allison Ho and Santiago Schnell)Optimal Control Techniques in Mathematical Modelling of Biological Phenomena:Optimal Control of Resource Coefficient in a Parabolic Population Model (J Bintz, H Finotti and S Lenhart)Optimization of Costs for Combating Aedes Aegypti in Optimal Time-Windows (W O Dias, G A Xavier, D A P Lima, E F Wanner and R T N Cardoso)Dynamics of a Varroa-Infested Honey Bee Colonies Model (K O Okosun)Computational Biology:Probability Distributions of GC Content Reflect the Evolution of Primate Species (Marco V José, Qi Lu and Juan R Bobadilla)Mining the Constraints of Protein Evolution (Fernando Encinas and Antonio Basilio de Miranda)Entropy Measures Based Methods for the Classification of Protein Domains into Families and Clans (Nicolas Carels, Cecilia F Mondaini and Rubem P Mondaini)Modelling Physiological Disorders:Modelling of Porous Elastic and Viscoelastic Media and Its Application to the Brain (R Begg, J Murley, M. Kohandel and S Sivaloganathan)The Mathematics of Liver Transplantation (F A B Coutinho, E Chaib, M Amaku, M M Burattini and E Massad)Complexity of Molecular Signaling Networks for Various Types of Cancer and Neurological Diseases Correlates with Patient Survivability (D Breitkreutz, E A Rietman, P Hinow, M Healey and J A Tuszynski)Mathematical Modelling of Infectious Diseases:Modelling Malaria Dynamics in Temperate Regions with Long Term Incubation Period (Kyeongah Nah, Gergely Röst and Yongkuk Kim)A Simulation of the U S Influenza Outbreak in 2009–2010 Using a Patch SIR Model based on Airport Transportation Data (D L Wallace and M Chen)Modelling Directly Transmitted Infections considering Age-structured Contact Rate and Vaccination (H M Yang and C H Dezotti)A General Framework for Agent-Based Modelling with Applications to Infectious Disease Dynamics (Marek Laskowski and Seyed M Moghadas)Analysis of the Basic Reproduction Number from the Initial Growth Phase of the Outbreak in Diseases Caused by Vectors (R P Sanches and E Massad)Parameter Estimation of a Tuberculosis Model in a Patchy Environment: Case of Cameroon (D P Moualeu, S Bowong and J Kürts)An Agent-Based Modelling Framework for Tuberculosis Infection with Drug-Resistance (Aquino L Espindola, A S Martinez and Seyed M Moghadas)Some Extensions of the Classical Epidemic Models (Fred Brauer) Readership: Undergraduates, graduates, researchers and all practitioners on the interdisciplinary fields of Mathematical Biology, Biological Physics and Mathematical Modelling of Biosystems. Keywords:Mathematical Biology;Biomathematics;Mathematical Modelling of Biosystems;Biological Physics;Biophysics;Computational Biology;Bioinformatics
Biomaterials and Engineering for Implantology by Yoshiki Oshida,Takashi Miyazaki Pdf
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Binary Code Fingerprinting for Cybersecurity by Saed Alrabaee,Mourad Debbabi,Paria Shirani,Lingyu Wang,Amr Youssef,Ashkan Rahimian,Lina Nouh,Djedjiga Mouheb,He Huang,Aiman Hanna Pdf
This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
Encyclopedia of Polymer Applications, 3 Volume Set by Munmaya Mishra Pdf
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Advances and Applications Through Fungal Nanobiotechnology by Ram Prasad Pdf
Fungal nanobiotechnology has emerged as one of the key technologies, and an eco-friendly, as a source of food and harnessed to ferment and preserve foods and beverages, as well as applications in human health (antibiotics, anti-cholesterol statins, and immunosuppressive agents), while industry has used fungi for large-scale production of enzymes, acids, biosurfactants, and to manage fungal disease in crops and pest control. With the harnessing of nanotechnology, fungi have grown increasingly important by providing a greener alternative to chemically synthesized nanoparticles.
Chitosan in the Preservation of Agricultural Commodities by Silvia Bautista-Baños,Gianfranco Romanazzi,Antonio Jiménez-Aparicio Pdf
Chitosan in the Preservation of Agricultural Commodities presents a cohesive overview of research topics regarding the production and characterization of chitosan, the development of coatings and fi lms, its functional properties, and antimicrobial potential of this compound on economically important agricultural commodities. It includes the modes of action from a physiological, enzymatic, and molecular perspective, and evaluations of the activity of chitosan nanocomposites and nanoparticles in biological models. The first section deals with the chemical characteristics and functional properties of chitosan and new chitosan-based biomaterials intended for food preservation. The second section covers various aspects of the control achieved by chitosan on different microorganisms affecting various horticultural commodities, grains, and ornamentals, and its modes of action. The third section explores enzymatic and gene expression induction by chitosan application on fruit and vegetables; the fourth section offers insight on the use of chitosan nanocomposites in biological models associated with food conservation and control of microorganisms. Analyzes chitosan chemical and functional properties Explores obtaining, characterizing, and developing chitosan coatings and fi lms for agricultural use Presents functional properties, antimicrobial potential, and modes of action of chitosan from a physiological, enzymatic, and molecular perspective Includes biological models of the activity of chitosan nanocomposites and nanoparticles
This unique volume presents the recent advances in tissue regeneration. The authors are all active researchers in their respective fields with extensive experiences. The focus of the book is on the use of stem cells and nano-structured biomaterials for tissue regeneration/tissue engineering. It includes the use of stem cells, naturally derived extracellular matrix (ECM), synthetic biomimetic nano-fibers, synthetic nano-structured ceramics and synthetic nano-structured polymer/ceramic composites that can help/promote tissue regeneration. Methods on how to produce these nano-structured biomaterials are also discussed in several chapters. Future challenges and perspectives in the field of regenerative medicine (tissue regeneration) are also discussed.
Bioengineered Nanomaterials for Wound Healing and Infection Control by Hamed Barabadi,Muthupandian Saravanan,Ebrahim Mostafavi,Hossein Vahidi Pdf
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Applications of Biodegradable and Bio-Based Polymers for Human Health and a Cleaner Environment by Iuliana Stoica,Omari Mukbaniani,Neha Kanwar Rawat,A. K. Haghi Pdf
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Advances in Additive Manufacturing and Metal Joining by N. Ramesh Babu,Santosh Kumar,P. R. Thyla,K. Sripriyan Pdf
This book presents select proceedings of the 8th International and 29th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2021). It discusses the latest advances in miniature manufacturing, machining of miniature components, surface engineering, nanomaterials, nanotechnology, Industry 4.0, optimization techniques, micro-electric discharge machining, electrochemical micro-machining, thin films, optimization of micro-machining process parameters, machining of nano-composites, characterization using atomic force microscopy, micro-tool fabrications, characterization of nano-composites, surface roughness analysis, tribological performance of surface coated materials and sustainability in manufacturing. The contents of this book are useful for students, researchers and as well as industry professionals in the various fields of mechanical engineering.
Introduction to Mathematical Oncology by Yang Kuang,John D. Nagy,Steffen E. Eikenberry Pdf
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.
A Comprehensive Guide to Nanoparticles in Medicine by Rituparna Acharya Pdf
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