Abhishek Singh

The temporomandibular joint is a complicated anatomic structure which is vitally concerned with mastication, deglutition, speech and also the posture of the head. The preservation of this joint and the construction of an artificial one that functions properly is of prime importance. TMJ ankylosis, a distressing condition leads to limitation in mandibular movements and deficient growth of facial skeleton. Condylar damage during childhood produces ankylosis and alteration of mandibular growth. The younger the patient at the time of condylar damage and the longer the period of ankylosis before treatment, the more severe will be the degree of the deformity and the more affected the external facial aspect. The deformity is the result of both the condylar destruction and the lack of stimulus to the growth induced by mandibular function & movement. According to the functional restriction & the provoked disturbances of facial growth in the youth, an early & effective therapy is desirable. There are a wide variety of surgical approaches & treatment modalities ranging from wide resection of bone to reconstruction. One standard surgical concept does not exist.

This text is a comprehensive revision tool for trainees preparing for examinations in anaesthesiology. Presented in question and answer format, the book provides a selection of 50 long and short cases in line with current curricula. Each case presents a different topic covering anaesthesia associated with a range of different disorders in all systems of the body, and in different sectors of the population. Cases cover both routine and more complicated procedures in common and less common disorders. The text is further enhanced by more than 60 photographs and diagrams to assist learning and revision. Key points Comprehensive revision tool for anaesthesiology trainees preparing for examinationsPresents 50 long and short cases, in question and answer formatCovers anaesthesia for many different disorders and proceduresClinical photographs and diagrams further enhance learning

In summary, successful treatment of head and neck squamous cell cancer often requires a carefully planned combination of different treatment modalities to achieve optimal tumour control at a minimal level of side-effects. At present, advanced tumours appear to be best treated with continuous-course radiotherapy combined with concurrent chemotherapy. The optimal chemoradiotherapy schedules and the most effective chemotherapy agents to be used remain to be determined. In radiotherapy for head and neck cancers, giving the radiotherapy as a continuous treatment whenever feasible, with no gaps, is essential. Novel markers of cell proliferation may be helpful in defining the optimally fractionated treatment schedule for individual patients. Advanced radiation technologies, including IMRT, can provide high-dose, tissue-sparing radiotherapy to the head and neck region. New mucosa protectants, including GM-CSF, might also prove useful in the treatment of head and neck cancer.

This is a fictional story demonstrating the struggles of disabled kids and also an entity who is lurking upon them, who is he and why is he lurking upon them. Find it in Ever a Never After

Business Model for the Internet Economy is a book which discusses the concepts related to the business models which are used in the Internet Economy. First half of the book discusses about the global perspective on business and the rise of internet economy. This book provides information about the internet business model and further highlights the strategies in the internet economy. There are some other topics which have been covered in this book including blockchain and the new economy, learning management system and information technology and women and their progressive role in the internet economy. This book provides insights on some other topics such as digital transformation and business models, economic issues related to internet economy and the future of internet economy to the readers.

A senior scientist in a decorated government organization dealing with Defense system Design, and the chair-lady of country's top hospital was brutally murdered and her body was found under mysterious circumstances. With no murder weapon found and no suspects to look out for, can Special Investing Officer solve this most high profile intriguing murder case.

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learningWho This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

Awarded as one of the best regular expression book in 2020 and 2021 by bookauthority.org, this book is designed for absolute beginners with elementary knowledge of Python language. Regular Expressions are considered as a tough topic and usually they are not covered in syllabus in much detail. Mostly, a chapter is given on this topic in books. But here, a complete book is dedicated. This book covers Regular Expression in detail with plenty of examples covering password validation, email ID validation, string manipulations etc. and their step by step analysis. The examples are presented in such a way that one can feel like coding only by reading the codes itself. The book is written in a way to give stress free environment.

OKC is a rare, benign, locally aggressive developmental cyst which has strong tendency to recur. It was reclassified and renamed as KCOT as it reflects its neoplastic nature. The choice of treatment has always been difficult as the patient's well being is of prime concern, without compromising the chances of recurrence. The conservative treatment is cyst oriented and aggressive treatment is done considering the neoplastic nature of the lesion depending upon the clinical and histopathological reports. Recent advances in genetic and molecular understanding have led to eventually eliminate the need for aggressive treatment modalities

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You'll Learn Understand machine learning algorithms using RMaster the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithmsSee industry focused real-world use casesTackle time series modeling in RApply deep learning using Keras and TensorFlow in RWho This Book is ForData scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.

This introductory textbook shows you how to apply the principles of marketing within the hospitality industry. The book empowers the hospitality education sector on the subject of sales and marketing of hospitality products and services. Covering a broad range of topics and perspectives such as customer satisfaction, healthcare service, and microfinance, this book is ideally designed for students, academics, practitioners, and professionals seeking information on this topic.