Since AI has dominated data innovation for more than 20 years, it has played a significant but frequently unnoticed role in our lives. Shrewd information examination will probably turn out to be considerably more common as a prerequisite for mechanical progression because of the steadily growing amounts of information that are becoming available. The main objectives of this chapter are to organise the zoo of issues and to provide the reader with a comprehensive overview of the numerous applications that have machine learning challenges at their core. The language where various AI issues should be figured out to become agreeable to arrangement, measurements and likelihood hypothesis will next be covered in detail along with some fundamental tools from these fields. Finally, we will present a series of simple yet effective techniques to address a significant categorization challenge. Later chapters of the book will look at more advanced methods, broad concerns, and a complete analysis. A variety of structures can be used with AI. We currently cover the types of information that various projects need, and we categorise the problems in a somewhat more tailored way. The last option is pivotal assuming we are to forestall making the wheel without any preparation for each new application. All things being equal, a huge piece of the craft of AI is to consolidate a wide assortment of rather unique issues into few models. The inquiry into artificial intelligence is then heavily concentrated on finding convincing evidence for the solutions to such problems. The majority of readers will understand page positioning on a website. This method involves typing a search word into a web search tool, which then searches the Internet for pages matching the term and returns them in a list organised by pertinence. For a delineation of the query items for "AI," see Figure 1.2. As such, because of an inquiry, the web crawler gives an arranged rundown of sites. To achieve this, a web search tool must "know" which pages fit the inquiry and which pages are significant.
1. Bronchoscopic Anatomy of Tracheobronchial Tree 2. Bronchoscope and Accessories 3. Pathophysiological Changes during Bronchoscopy in ICU 4. Monitoring during Bronchoscopy in ICU 5. Indications of Bronchoscopy in ICU 6. Bronchoscopy in Specific Medical Conditions 7. Bronchoscopy in Immunocompromised Host 8. Anesthesia and Sedation during Bronchoscopy in ICU 9. Handling of Bronchoscope 10. Bronchoalveolar Lavage 11. Bronchoscopy during Mechanical Ventilation 12. Bronchoscopy Assisted by Noninvasive Ventilation 13. Atelectasis and Collapse 14. Bronchoscopic Management of Hemoptysis 15. Whole Lung Lavage 16. Bronchoscopic Intubation 17. Bronchoscopic Management in Postintubation Tracheal Stenosis 18. Bronchoscopic Management of Acquired Tracheoesophageal Fistula 19. Complications and Contraindications 20. Care and Sterilization 21. Bronchoscopy in Pediatrics Critical Care 22. Bronchoscopy Atlas
Since AI has dominated data innovation for more than 20 years, it has played a significant but frequently unnoticed role in our lives. Shrewd information examination will probably turn out to be considerably more common as a prerequisite for mechanical progression because of the steadily growing amounts of information that are becoming available. The main objectives of this chapter are to organise the zoo of issues and to provide the reader with a comprehensive overview of the numerous applications that have machine learning challenges at their core. The language where various AI issues should be figured out to become agreeable to arrangement, measurements and likelihood hypothesis will next be covered in detail along with some fundamental tools from these fields. Finally, we will present a series of simple yet effective techniques to address a significant categorization challenge. Later chapters of the book will look at more advanced methods, broad concerns, and a complete analysis. A variety of structures can be used with AI. We currently cover the types of information that various projects need, and we categorise the problems in a somewhat more tailored way. The last option is pivotal assuming we are to forestall making the wheel without any preparation for each new application. All things being equal, a huge piece of the craft of AI is to consolidate a wide assortment of rather unique issues into few models. The inquiry into artificial intelligence is then heavily concentrated on finding convincing evidence for the solutions to such problems. The majority of readers will understand page positioning on a website. This method involves typing a search word into a web search tool, which then searches the Internet for pages matching the term and returns them in a list organised by pertinence. For a delineation of the query items for "AI," see Figure 1.2. As such, because of an inquiry, the web crawler gives an arranged rundown of sites. To achieve this, a web search tool must "know" which pages fit the inquiry and which pages are significant.
Oil recovery efficiency can be increased by applying the enhanced oil recovery (EOR) processes, which are based on the improvement of mobility ratio, reduction of interfacial tension between oil and water, wettability alteration, reduction of oil viscosity, formation of oil banks, and so forth. This book describes the different EOR methods and their mechanisms, which are traditionally used after conventional primary and secondary processes. The present scenario of different EOR processes, at both the field application stage and research stage, is also covered. Further, it discusses some of the recent advances in EOR processes such as low-salinity water flooding, the application of nanotechnology in EOR, microbial EOR, carbonated water injection, etc. Features: Comprehensive coverage of all enhanced oil recovery (EOR) methods Discussion of reservoir rock and fluid characteristics Illustration of steps in design and field implementation as well as the screening criteria for process selection Coverage of novel topics of nanotechnology in EOR and hybrid EOR method and low-salinity waterfloods Emphasis on recent technologies, feasibility, and implementation of hybrid technologies This book is aimed at graduate students, professionals, researchers, chemists, and personnel involved in petroleum engineering, chemical engineering, surfactant manufacturing, polymer manufacturing, oil/gas service companies, and carbon capture and utilization.
The cost of drug development is increasing, and investment returns are decreasing. The number of drugs approved by FDA is in decline in terms of the number of new molecular entities (NMEs). Amongst the reasons noted for this are the adverse side effects and reduced efficiency of many of the potential compounds. This is a problem both for the pharmaceutical industry and for those suffering from diseases for which there are no or few available treatments. Advances in computational chemistry, computer science, structural biology and molecular biology have all contributed to improved drug design strategies and reduced the time taken for drug discovery. By interfacing cheminformatics and bioinformatics with systems biology we can create a powerful tool for understanding the mechanisms of patho-physiological systems and identifying lead molecules for various diseases. This integration of drug design approaches can also play a crucial role in the prediction and rationalization of drug effects and side effects, improving safety and efficacy and leading to better approval rates. Addressing the lack of knowledge on the fundamental aspects of the various computational tools for drug discovery, this book is a compilation of recent bioinformatics and cheminformatics approaches, and their integration with systems biology. Written primarily for researchers and academics in chem- and bioinformatics, it may also be a useful resource for advanced-level students.
Smart materials are used to develop more cost-effective and high-performance water treatment systems as well as instant and continuous ways to monitor water quality. Smart materials in water research have been extensively utilized for the treatment, remediation, and pollution prevention. Smart materials can maintain the long term water quality, availability and viability of water resource. Thus, water via smart materials can be reused, recycled, desalinized and also it can detect the biological and chemical contamination whether the source is from municipal, industrial or man-made waste. The 15 state-of-the-art review chapters contained in this book cover the recent advancements in the area of waste water, as well as the prospects about the future research and development of smart materials for the waste water applications in the municipal, industrial and manmade waste areas. Treatment techniques (nanofiltration, ultrafiltration, reverse osmosis, adsorption and nano-reactive membranes) are also covered in-depth. The chapters are divided into three groups: The first section includes the various carbon nanomaterials (such as carbon nanotubes, mixed oxides) with a focus on use of carbon at nanoscale applied for waste water research. The second section focuses on synthetic nanomaterials for pollutants removal. The third section highlights the bio-polymeric nanomaterials where the authors have used the natural polymers matrices in a composite and nanocomposite material for waste treatment. The large number of researchers working in the area will benefit from the fundamental concepts, advanced approaches and application of the various smart materials towards waste water treatment that are described in the book. It will also provide a platform for the researchers and graduate students to carry out advanced research and understand the building blocks.
Coronavirus disease 2019 (COVID-19) has emerged as a global health threat. Unfortunately, there are very limited approved therapeutics available with established efficacy and safety profiles against SARS-CoV-2. COVID-19 vaccines aim to actively induce systemic immunization; however, the possibility or fear of side effects decreases or discourages their use. Alternative therapy via natural products, especially essential oils, could be considered safe and effective to improve health, cure ailments, and soothe your body and mind. Essential oils, which have been known for their anti-inflammatory, immunomodulatory, bronchodilatory, and antiviral properties, could possibly be useful for the symptomatic management of COVID-19. This book is vital in respect of designing approaches to protect humanity from further losses and harm due to SARS-CoV-2 infection. Role of Essential Oils in the Management of COVID-19 offers a complete outline of the recent novel coronavirus (SARS-CoV-2) infection, its biology, and associated challenges for the prevention and treatment of novel COVID-19, with a prime focus on the possible role of essential oils in the prevention and treatment of COVID-19. This book is written for everyone who needs to be thoroughly familiar with the appropriate and safe use of essential oils in COVID-19 therapy. As per the objectives of the book: The first seven chapters cover various aspects of COVID-19 infection, including epidemiology, origin, morphology, genome organization, pathogenesis, clinical manifestations, diagnostic approaches, preventive measures, and treatment strategies. The remaining chapters elaborate on the various aspects related to essential oils, such as chemistry, extraction methods, dispensing methods, stability, quality control, mechanism of action, therapeutic effects, pharmacokinetics, aromatherapy, and safety profiles. Prof. Ahmed Al-Harrasi is Vice Chancellor for Graduate Studies, Research and External Relations, Natural and Medical Sciences Research Center, and Professor of Organic Chemistry, University of Nizwa, Oman. Prof. Ahmed received his M.Sc. degree in Chemistry followed by his Ph.D. in Organic Chemistry from the University of Berlin. He then pursued his postdoctoral research at Cornell University. Afterward, he continued his research rigor at the University of Nizwa, where he founded the Natural and Medical Sciences Research Center, which has now become a center of excellence in natural and medical sciences. While enduring his research aptitude, he has authored and co-authored more than 400 scientific papers, 2 books, and 12 book chapters of high repute. Dr. Saurabh Bhatia graduated from Kurukshetra University, followed by postgraduation from Bharati Vidyapeeth University. He received his Ph.D in Pharmaceutical Technology at Jadavpur University. He now works as an Associate Professor at Natural and Medical Sciences Research Center, University of Nizwa, Oman. He has 12 years of academic experience; has authored 75 articles and 9 books of repute; and filed 11 patents.
1. FACE 2 FACE MAT is a complete collection of 24 years’ Solved Papers 2. The book is divided into 5 section 3. Solved Papers are provided for the practice of the question 4. We detailed answers are given for every question for better understanding Here comes “FACE 2 FACE MAT 24 years’ Solved Paper (2020 – 1997)” prepared under the close guidance of experts by keeping in mind to meet all the needs of students preparing for this exam and to gain entry into top business schools. Following the methodical approach this book gives comprehensive treatment to all the 5 sections as prescribed by the board. Ample numbers of solved questions (2020-1997) are mentioned in this book giving clear guidance on how to attempt the various types of questions with tips and tricks. Solved Papers are given to get acquainted with the paper pattern and question types. Adopting the unique style of teaching this book helps students to not only learn about the concepts but also managing time in during exam. Based on the latest syllabus and providing such a huge amount of solved papers, this book is a perfect study manual assuring success at your upcoming examination. TABLE OF CONTENT MAT SOLVED PAPER (Sept 2020), MAT SOLVE PAPER (May 2019), MAT SOLVED PAPER (May 2018), SECTION I: (Language & Comprehension), SECTION II: Intelligence & Critical Thinking, SECTION III: Mathematical Skills, SECTION IV: Data Analysis & Sufficiency, SECTION V: Indian & Global Environment.
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