Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
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This achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
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We are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
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Thank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
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1. Early pacemakers
Dr. Rune Elmqvist (1906–1996), a physician working for the Swedish company Elema-Schönander (later a part of Siemens) as an engineer, developed the first implantable pacemaker. Dr. Elmqvist developed the device in cooperation with Åke Senning (1915–2000), a senior physician and cardiac surgeon at the Hospital of Karolinska Institute in Solna near Stockholm [1]. Their first patient, Arne Larsson (1915–2001), underwent secret emergency surgery to implant his first pacemaker on October 8, 1958, just in the middle of his lifetime. The role of his wife Else-Marie was important. She persuaded the scientists to make the surgery, though they strongly refused, initially. Finally, it was an officially unacceptable prank, made under the pressure of female power! Later Arne Larsson went on to receive more than 20 pacemakers in the 43 years following the first implantation.
The pacemaker contained a single transistor-based blocking pulse oscillator which delivered pacing impulses at an amplitude of 2 V and a pulse width of 1.5 ms through a transistor buffer. The frequency of pulse sequence was set to have a constant rate pacing of 70 beats per minute. The energy utilized by a totally two-transistor electronic circuit from a nickel-cadmium battery was minimal since Elmqvist managed to obtain a few of the first silicon transistors produced by Texas Instruments, USA. Recharging of the battery once a week for 12 h was accomplished inductively by a 150 kHz radio frequency current generated externally.
Dr. Elmqvist produced two of such handmade units encapsulated in a new epoxy resin (Araldite), which had excellent biocompatibility. He used a shoe polish can from Kiwi with a diameter 55 mm and thickness of 16 mm as a mold.
After being a young trainee of Dr. Åke Senning in Sweden, Dr. Orestes Fiandra (later founder of the company CCC del Uruguay, now Integer) implanted a pacemaker designed by Dr. Rune Elmqvist and produced by Elema-Schönander (Sweden), in Uruguay on February 2, 1960, together with Dr. Roberto Rubio.
In parallel, Earl E. Bakken (1914–2018), an electrical engineer and co-founder of the company Medtronic in 1949 in Minneapolis, USA, made a transistor-based blocking oscillator for the first battery-operated wearable pacemaker (1957). Famous doctor C. Walton Lillehei (1918–1999) from the University of Minnesota, “the father of open chest surgery,” took the device into medical use in 1958. This pacemaker became known as the Medtronic Cardiac Pacemaker 5800 (produced in 1958). The chosen pacemaker output was a 2 ms square wave, variable in amplitude from 1 to 20 mA into a 1000 Ω load, which gives from 1 to 20 V. The pacing rate was variable from 60 to 180 pulses per minute. Meanwhile, Dr. Lillehei and his co-workers developed the myocardial wire (1957) for the implanting of pacemakers: a braided stainless steel wire in a Teflon sleeve implemented directly into the myocardium, while the other end was connected to the pacemaker via stab incision. To close the electrical circuit, a common (neutral) large area electrode was buried under the skin. As a result, only 1.5 V is needed for effective pacing. Meanwhile (1958), a transvenous catheter electrode was introduced fluoroscopically via the basilic vein into the right ventricle. Medtronic Inc. continues production of the cardiac rhythm devices being nowadays the largest medical technology company in the world.
At about the same time, in 1958, Mr. Wilson Greatbatch (1919–2011) was working on the recording of tachycardias. He recognized that the low-level electrical current could power the implantable pacemaker and drive a human heart. Mr. Greatbatch asked Dr. William Chardack (1915–2006), chief of surgery at Buffalo’s Veterans Hospital, and surgeon Dr. Andrew Gage to test a mercury battery-powered implantable pacemaker at the hospital’s animal lab. The design was proven to work.
In 1960, Dr. Chardack successfully implanted the device in a 77-year-old man, who lived for 2 years before dying of unrelated causes. Later Medtronic Inc. owned the Chardack-Greatbatch pacemaker [2]. Mr. Greatbatch invented also the lithium battery for pacemakers [3] and formed a company Wilson Greatbatch Ltd. for the production of these batteries. The company continues to save the lives of patients worldwide as a part of Integer Holdings Corporation. Modern batteries can work 10–12 years continuously in nowadays pacemakers.
2. Demand pacemaker
The next big step was invention of the demand pacemaker by Barouh V. Berkovits [4]. The early pacemakers generated pacing pulses continuously at a preset constant frequency/rate regardless of any spontaneous activity of the heart, that is, whether the natural pacemaker in the heart beats or not. The competition of two pacing sources took place, and, as a result, arrhythmias and/or ventricular fibrillation provoked making normal heart work impossible. The demand pacemaker has sensing electronics for the detecting of natural pacing. The artificial pacing switched off when the natural one works. The demand pacemaker contains the first implantable cardiac monitor inside.
3. Physiological pacing
One more step leads us to physiological pacing introduced with implementation of the dual-chamber pacemaker having the electrodes for synchronized pacing and exact timing in both the right atrium and right ventricle. This pacemaker senses the natural activity of atrium and ventricle separately. The aim is to define, whether, and in which compartment – in atrium, ventricle or in both – the artificial pacing is required at certain moments to achieve the best mimicking of natural heart work, see the US Patent by Berkovits [5]. However, the latest investigation shows that achieving adequate physiological pacing still remains problematic even nowadays, 50 years later.
Attempts to achieve left ventricle (LV) pacing are introduced for getting more exact physiological pacing. There is still no way to move the pacing electrodes directly into the left ventricle because of too high blood pressure delivered there. Therefore, different indirect pacing ways were introduced. First, left ventricle septal pacing shows to be promising in restoring the pumping performance. Then, endocardial and epicardial LV pacing modes are introduced, where endocardial stimulation appears to be more physiological and less problematic than epicardial activation.
Cardiac resynchronization therapy (CRT) using biventricular (BIV) pacing has proved its effectiveness to correct myocardial asynchrony [6] and improve clinical status of patients with severe congestive heart failure (CHF). Multipolar LV leads for multisite pacing have recently become available for biventricular pacing [7].
4. Rate-responsive pacing
While earlier pacemakers have a predetermined pacing rate, set to fixed “optimal” value, rate-responsive adaptive pacemakers speed up or slow down your heart rate depending on metabolic demand of your body. Modern rate-responsive pacemakers are capable of adapting to a wide range of sensors information relating to physiological needs depending on physical activity of the patient. The first proposal to introduce the adaption of pacing rate to respiratory parameters was made in 1967 already [8], but real implementation of rate-responsive pacing began in the early 1980s [9].
Rate-responsive pacemakers use a physiologic sensor in the cardiac monitor embedded into the pacemaker to adjust the pacing rate according to the physiologic needs of the patient, which is proportional to his/her metabolic demand. The latter is the response to an oxygen debt.
It should ideally operate in a closed-loop system, making rate-adaptive pacing insensitive to not heart-related inputs. Finally, dedicated sensors should avoid undesirable over pacing. Safety operation needs reliable electronics and complex programming.
4.1 Sensing and monitoring
Different parameters have been investigated for the regulating of pacing rate: oxygen saturation, venous pH, QT interval, body motion, respiratory rate, stroke volume, central venous temperature, minute ventilation, peak endocardial acceleration, and changes of the right ventricular impedance during the cardiac cycle (closed-loop stimulation). Clinical studies have outlined advantages and limitations of the different sensed parameters; only some of these are still used in sensor technology.
Only some of these sensing principles are in practical use; nowadays, all of which are unable to recognize the oxygen debt directly.
Activity sensors are older and more widely used. The principle of work of these sensors bases on the relationship between the physical activity and the corresponding heart rate. Activity may be acknowledged either (1) by a piezoelectric crystal, which recognizes the muscular pressure waves, or (2) by an accelerometer that identifies the postural changes and the body movements related to physical activity. Both types of sensors are housed inside the pacemaker’s case.
Unfortunately, these sensors respond to artifacts not related to body movements like laughing and coughing, but some of the relevant efforts, as isometric or slow but tiresome exercise, mental stress, and metabolic inadequacy, remain not registered. The possible mismatch between exercise intensity and the required heart rate increase represents the main limitations of activity sensors.
The sensors based on QT interval and minute ventilation (MV) provide pacing rates more closely and specifically related to physical and mental stress requirements [10].
Minute ventilation, the product of respiratory rate and tidal volume, is a physiological indicator that correlates well with metabolic demand [11]. This parameter, which also correlates linearly with heart rate, can be derived from variations in transthoracic and intracardiac impedance signals [12]. The voltage is measured as a response to the current injected between the proximal ventricular or atrial electrode and the pacemaker casing [13].
No single sensor can reproduce all the activities of daily life. Combining different sensors might more closely mimic intrinsic heart rate. For example, the combination of an activity sensor for getting a rapid response and a bioimpedance-based minute ventilation (MV) sensor, providing delayed but close to metabolic demand response, could be a solution [14].
4.2 Bioimpedance-based sensing
The most trustworthy sensing methods for the monitoring and control of pacing rate rely on measurement of electrical impedance, implementations of which are developed by Estonian scientists in collaboration with St. Jude Medical (USA/Sweden) during the period of 1999–2006. The variations of thorax impedance, measured between the tip of the pacing lead in the right ventricle and the case of pacemaker, give us lung impedance containing information about both the respiration rate and tidal volume. Using some soft computing method, e.g., fuzzy logic, we can evaluate the metabolic demand of the body and obtain a satisfactory pacing rate [15]. Implantable impedance measurement units were developed [16, 17]. Moreover, stroke volume and cardiac output are retrieved when measuring the impedance inside the right ventricle [18, 19, 20]. Finally, the balance condition between energy supply and consumption of myocardium has been calculated, and the maximal pacing rate was found to avoid over pacing [21]. Dangerously low pacing rate limit was also defined from the impedance measurements. A closed-loop control of the pacing rate by sensing of cardiac output has been discussed [22].
Both technology and clinical treatment methods have changed since the first cardiac devices developed during the twenty-first century. Diversity of cardiac pacing modes is available nowadays [23] for helping patients [24, 25]; some newest of these are considered in the next four chapters of the present book.
5. Novel indications and solutions presented in this book
Chapter 2 [26] presents the indications for cardiac devices, including pacemakers, cardiac resynchronization therapy (CRT) devices, and implantable cardioverter defibrillators (ICD). Contraindications due to different health conditions of patients are considered [24, 25, 26, 27]. Pacemaker therapy is the treatment of bradycardia. An aging population increases the use of permanent pacemakers. Leadless pacing is a new landmark in the development of pacemaker technology but still limited to pacing in the right ventricle, only. The aim of CRT is to improve synchrony in the heart’s contraction and avoid ventrical fibrillation (VF) by delivering a shock during the myocardial refractory period of cardiac cycle. The CRT devices are recommended for the treatment of atrial arrhythmias and ventricular tachycardia (VT). Around 30% of patients suffer from chronic heart failure (HF). Avoidance of sudden cardiac death (SCD) possibility in heart failure (HF) cases is also a task of CRT devices. The CRT with the ability to work as a cardiac defibrillator is termed as CRT-D, whereas the term CRT-P designates solely a pacing function. One major cause of death worldwide is sudden cardiac death SCD, which can be prevented most effectively by the aid of a specific device—the implantable cardiac defibrillator (ICD).
The subcutaneous ICD (S-ICD) is introduced in Chapter 3 [28]. This important advancement in defibrillation therapy obviates the need for a transvenous lead, the most frequent complication maker with transvenous devices. Unfortunately, the S-ICD is appropriate for patients who require only rescue defibrillation. It cannot be used when the pacing against bradycardia or tachycardia is needed. Lead failure is the most frequent source of complication requiring surgical revision. Extraction of leads may cause devastating complications, including death.
Chapter 4 [29] deals with leadless or transcatheter pacemakers [30, 31] that have been introduced to the market some years ago with important benefits and some limitations. These devices are entirely implantable within the right ventricle. Thus, the transvenous pacing leads and pacemaker pockets are not needed anymore. This reduces the risk of infections and lead-related problems. Unfortunately, only the pacing in the right ventricle is available. Atrial sensing, anti-tachycardia pacing, and A/V synchrony are not possible, but the rate response by the aid of programmable accelerometer works.
Chapter 5 [32] explains that underdiagnosed atrial fibrillation (AF) may be potentially life-threatening arrhythmia, the appearance of which is episodic. Therefore, long-term day-and-night monitoring is required. Though the implantable cardiac monitors are in use for years already [25], the surgery is not reasonable in many cases. The chapter introduces a new user-friendly device that allows for frequent self-monitoring of the heart rhythm. This thumb ECG wearable device is a small format, patient-friendly device that can be used to monitor their heart rhythm regularly and continuously. Clinicians monitor the results by accessing a secure portal via an ordinary laptop computer. Bluetooth and mobile phone communication are available.
6. Summary
The present chapter reviews the developments of the implantable heart rhythm management from its dawn to mature technology. The book as a whole provides information about today’s achievements in the field of cardiac pacing and monitoring with a view to the future.
Conflict of interest
The author has received financial and technical support in frames of the research agreements with St. Jude Medical and Guidant/Boston Scientific in 1999–2006.
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US Patent 3,595242; Filed Mar 26, 1969'},{id:"B6",body:'Gerber TC, Nishimura RA, Holmes DR, Lloyd MA, Zehr KJ, Tajik J, et al. Review: Left ventricular and biventricular pacing in congestive heart failure. Mayo Clinic Proceedings. 2001;76(8):803-812'},{id:"B7",body:'Corbisiero R, Muller D. Profile of St. Jude Medical’s Allure Quadra quadripolar pacemaker system for cardiac resynchronization therapy. Expert Review of Medical Devices. 2014;12(1):1-8. DOI: 10.1586/17434440.2015.984686'},{id:"B8",body:'Voukydis PC, Krasner JL. A physiologically regulated cardiac pacemaker. British Journal of Experimental Pathology. 1967;48(1):118-123'},{id:"B9",body:'Hayes DL, Furman S. Cardiac pacing: How it started, where we are, where we are going. Pacing and Clinical Electrophysiology. 2004;27(5):693-704'},{id:"B10",body:'Treese N et al. Ventilation and heart rate response during exercise in normals: Relevance for rate variable pacing. PACE. 1993;16:1693-1700'},{id:"B11",body:'Soucie LP et al. Correlation of the heart rate-minute ventilation relationship with clinical date: Relevance to rate-adaptive pacing. PACE. 1997;20:1913-1918'},{id:"B12",body:'Vai F, Bonnet JL, Ritter P, Pioger G. Relationship between heart rate and minute ventilation, tidal volume and respiratory rate during brief and low level exercise. PACE. 1988;11:1860-1865'},{id:"B13",body:'Nappholtz T, Valenta H, Maloney J, Simmons T. Electrode configurations for a respiratory impedance measurement suitable for rate responsive pacing. PACE. 1986;9:960-964'},{id:"B14",body:'Dell\'Orto S, Valli P, Greco EM. Minute ventilation sensors can change the heart rate according to variations of respiratory rate and tidal volume. In: Sensors for rate responsive pacing. Indian Pacing and Electrophysiology Journal. 2004;4(3):137-145'},{id:"B15",body:'Min M, Parve T, Kink A. Thoracic bioimpedance as a basis for pacing control. Annals of the New York Academy of Sciences. 1999;873(1):155-166'},{id:"B16",body:'Min M, Parve T, Kukk V, Kuhlberg A. An implantable analyzer of bio-impedance dynamics: Mixed signal approach. IEEE Transactions on Instrumentation and Measurement. 2002;51(4):674-678'},{id:"B17",body:'Min M, Parve T. Improvement of lock-in electrical bio-impedance analyzer for implantable medical devices. IEEE Transactions on Instrumentaion and Measurement. 2002;56(3):968-974'},{id:"B18",body:'Min M, Kink A, Parve T. Rate adaptive pacemaker. US Patent 6,885,892; 2005'},{id:"B19",body:'Min M, Kink A, Parve T. Rate adaptive pacemaker using impedance measurements and stroke volume calculations. US Patent 6,975,903; 2005'},{id:"B20",body:'Kink A, Min M, Parve T, Rätsep I. Device and method for monitoring cardiac pacing rate. US Patent 7,894,900; 2011'},{id:"B21",body:'Min M, Kink A, Parve T, Rätsep I. Bioimpedance based control of rate limits in artificial cardiac pacing. In: Proc. BioMED2005 Conference; Innsbruck (Austria). Canada: ACTA Press; 2005. pp. 697-703'},{id:"B22",body:'Kink A, Salo RW, Min M, Parve T, Rätsep I. Intracardiac electrical bioimpedance as a basis for controlling of pacing rate limits. In: Proc. of the 28th IEEE EMBS Annual International Conference; 30 Aug–3 Sept 2006; New York City (USA): IEEE; 2006. pp. 6308-6311'},{id:"B23",body:'Erol-Yilmaz A. Studies on cardiac pacing: Emphasis on pacemaker sensors and cardiac resynchronization therapy [thesis]. Amsterdam (Netherlands): Amsterdam University; 2006'},{id:"B24",body:'Hauser RG. Heart Stories: About Patients and the Great Pioneers who Saved Them. Florida, USA; 2016'},{id:"B25",body:'Giada F, Bertaglia E, Reimers B, Noventa D, Raviele A. Current and emerging indications for implantable cardiac monitors. Pacing and Clinical Electrophysiology. 2012;35(9):1169-1178'},{id:"B26",body:'Åberg I, Mattsson G, Magnusson P. Clinical indications for therapeutic cardiac devices. Chapter 2. In: Min M, editor. Cardiac Pacing and Monitoring: New Methods, Modern Devices. London: IntechOpen; 2019'},{id:"B27",body:'Hayes DL. Permanent cardiac pacing: Overview of devices and indications. UpToDate [Internet]. 2019. Available from: https://www.uptodate.com/contents/permanent-cardiac-pacing-overview-of-devices-and-indications [Accessed: 2019-03-15]'},{id:"B28",body:'Magnusson P, Pergolizzi JV, LeQuang JA. The Subcutaneous implantable cardioverter-defibrillator. Chapter 3. In: Min M, editor. Cardiac Pacing and Monitoring: New Methods, Modern Devices. London: IntechOpen; 2019'},{id:"B29",body:'Magnusson P, Pergolizzi JV, LeQuang JA. Leadless pacemakers. Chapter 4. In: Min M, editor. Cardiac Pacing and Monitoring: New Methods, Modern Devices. London: IntechOpen; 2019'},{id:"B30",body:'Tjong FV, Reddy VY. Permanent leadless cardiac pacemaker therapy: A comprehensive review. Circulation. 2017;135(15):1458-1470'},{id:"B31",body:'Della Rocca DG, Gianni C, Di Biase L, Natale A, Amin Al-Ahmad A. Leadless pacemakers: State of the art and future perspectives. Cardiac Electrophysiology Clinics. 2018;10(1):17-29'},{id:"B32",body:'Magnusson P, Samuelsson M, Pergolizzi JV, Annabi H, LeQuang JA. Atrial fibrillation and the role of thumb ECGs. Ch. 5. In: Min M, editor. Cardiac Pacing and Monitoring: New Methods, Modern Devices. London: IntechOpen; 2019'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Mart Min",address:"mart.min@ttu.ee",affiliation:'
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1. Introduction
The aim of this chapter is to review the applications of NLP in business. Advancement in the application of technologies in daily lives has revolutionised communication and interaction between humans and computers. It has also had the same effect on humans throughout the world, for they can now use communicative applications (enabling translation and transliteration). Interaction/communication is an important factor in daily lives, as it is the basis for humans to become involved in activities such as business, education, commerce, healthcare management, politics and socialising. The way in which humans communicate can be referred to as natural language, which includes speech, text and emotions [1]. Humans are more involved in speaking as a means of communication than in writing (text). Text, rather than speech, is important for developing any AI application that facilitates the communication process, as machines, as yet, are not as effective in learning languages as humans, as a result of which, they have to depend on the text/data [2]. A child spends years learning any language, which involves emotions, fluency, grammar and speaking norms, among other things. Hence, it is not an easy task for a computer scientist to build applications that deal with natural language input/output.
The study of language, with regard to its grammar, rules, semantics and phonetics, is referred to as linguistics. Devising rules of language, methods for syntax and semantics are included as part of linguistics study. The methods and rules proposed by theoretical linguists can be processed by computer systems, which generate natural language which cope with such matters as grammar, semantic norms etc. This approach has been referred to as computational linguistics [3], for which statistical approaches are utilised in the process of analysing text/data. However, the approaches for processing natural language may not be limited to statistics, for they could also involve the application of advanced inference methods, like machine learning (ML) and deep learning, which are popular artificial intelligence (AI) techniques. Application of advanced techniques could address various challenges associated with the processing of natural language, such as breaking sentences, tagging the parts of speech (POS), generating dependency graphs, building an appropriate vocabulary, linking different components of vocabulary, setting the context, extracting semantic meanings or transforming unstructured data into a structured format [4, 5, 6].
With the development of technologies and applications of various methods for processing natural language, the understanding and definition of NLP has changed over time. Statistical NLP uses the data generated according to some probability distribution and then makes some inferences about this [7]. In a wider sense, NLP should be able to cover any kind of computer manipulation of natural language: it could be as simple as counting word frequencies to compare different writing styles; or as complex as understanding complete human utterances for delivering responses to an input [8]. Given the application of effective technologies, such as ML, in recent years, for NLP, the most appropriate definition is proposed as:
‘NLP is a collective term referring to automatic computational processing of human languages. This includes both algorithms that take human-produced text as input and algorithms that produce natural looking text as outputs’ [9].
Focusing on the brief background discussed, it can be identified that there is a growing demand and scope for larger application of NLP in various sectors. Therefore, reviewing the applications of NLP in different sectors contributes valuable knowledge to academicians, researchers and industry practitioners working in the areas of NLP applications. Accordingly, the purpose of this chapter is to review the applications of NLP in various business service sectors and provide future directions of NLP applications.
2. Methods
Review chapters could be an important sources of information for academicians and practitioners in guiding their decision-making and work practices [10]. High-quality reviews are cited more frequently [11]; and are found to be downloaded more often than any published article, as they offer a high-quality information from various articles in an effective way [12]. In addition, reviews enable one to have an overview, if not a detailed knowledge of the area in question, as well as references to the most useful primary sources [13].
Literature review, in this aspect, can be very useful in collecting information from various sources such as systematic reviews, theoretical reviews etc. Literature review may be the best methodological tool for gathering evidence in a certain area [14]. As this study focuses on gathering information related to application of NLP in business, it can be considered as explorative study. The approach in literature reviews can be narrow, such as investigating the effect of relationship, or it can be broader, such as exploring collective evidence in relation to a specific area or concept. Literature reviews are identified to be very useful, when the aim of the study is to provide an overview about certain issue. In addition, it can be useful for creating research agendas, identifying gaps in research or simply discussing a particular matter [15]. It can be very beneficial in mapping the development of a particular research field in different contexts over time [16]. Considering the nature of this study, which focuses on investigating the development of NLP and its applications in business, literature review methodology is considered as it is identified as an effective methodological tool. Therefore, this chapter adopted a literature review methodology by collecting the relevant information from various sources of information including academic journals, online articles, conferences, white papers and industry reports. A brief literature review about the development of NLP over time is presented in Section 3. In addition, the information collected regarding NLP applications is categorised into major areas/industries including commerce, E-Governance, healthcare, and education, and other relevant areas as explained in Section 4.
3. Brief history of NLP
The roots of NLP development can be traced back to 1950s, when the idea ‘can machines think’ was put forward and examined by Alan Turing, which is popularly known as the Turing Test for the creation of intelligence [17]. This study paved the way for research related to the understanding of natural languages and machine translation. However, there was not much progress, for after many experiments, as identified in a 1966 ALPAC report, no one had succeeded in meeting his specified criteria [18, 19]. Some promising NLP systems were developed in the 1960s, which have been updated since through various techniques and new conceptualisations. Some of the major applications in the 1960s included ‘SHRDLU’, a natural language understanding program that allowed user interaction in English terms [20]; and ‘ELIZA’, a NLP program that stimulated human-machine conversation using a pattern matching and substitution methodology [21].
The research during the 1970s was focused on formatting and structuring real-world data into computer understandable data, which was based on conceptual ontologies. Some of the major developed applications included MARGIE, which could read an English sentence, using Riesbeck’s expectation-based parser as well as building a conceptual dependency form, which represented the meaning of the sentence [22]; and QUALM, which used semantic modelling for framing questions and associating them with different strategies to find answers [23]. In the 1980s, most of the applications relied on complex sets of hand-written rules for NLP. By the late 1980s and 1990s, the research was focused on the application of statistical models for making soft and probabilistic decisions based on the input data along with ML algorithms, such as decision-trees [18, 24]. Accordingly, various techniques of ML became popular approaches to NLP, as they could achieve effective results for various NLP tasks, such as modelling and parsing [25, 26, 27, 28]. Other popular techniques utilised in recent years are text embedding to capture the semantic properties of words, deep learning, machine translation and neural machine translation [29] (Figure 1).
Figure 1.
Brief history of NLP evolution.
Deep learning has gained momentum in NLP over ML in recent years for various reasons, including the ability to handle larger amounts of training data, the availability of faster machines and multicore CPU/GPUs. Moreover, new models and algorithms with advanced capabilities that have improved performance have stimulated deep learning research [29]. The manually designed features in ML are often over-specified, incomplete and take a long time to design and validate, whereas deep learning’s underpinning parameters are quick to adapt and learn fast. Machine translation on various platforms is one of the classic representations of NLP implementation, the use of which is increasing in various industries and the market is projected to be $56 billion by 2021 [30]. Applications, such as ‘Google Translate’, one of the widely used applications on online platforms; Facebook, using machine translation for translating texts in posts and comments; and eBay, similarly using machine translation for enabling cross-border trade by connecting the users across the world. Neural Machine Translation, which manages the entire process of NLP through an artificial neural network known as a Recurrent Neural Network, has been found to be very effective [31]. Another important breakthrough for NLP application is the delivery of dialogue and conversations through chatbots or virtual assistants, such as Apple Siri, Amazon Alexa and Microsoft Cortana. These are increasingly being used, being continuously updated through ML. In sum, the growth of NLP can be observed with the changing needs and increasing adoption of technologies, being transformed through various techniques, such as rules-based algorithms, statistical models, ML, deep learning and RRN.
4. Applications of NLP in business
Communication is an important factor that builds relationship among individuals, and also between organisations and individuals. Interactions among the people from different countries have been facilitated using translators. However, with the development of NLP, communications between such entities have become easier, with language no longer being a barrier to human and business interactions. Businesses can internationalise their operations, and trade relations can be improved, thereby enhancing global commerce. Application of NLP can be found in a range of business contexts, some of which are described in what follows.
4.1 NLP in commerce
Sentiment analysis is one NLP technique that is widely used in the finance market/trading. It is the process of understanding an opinion about a given subject through written or spoken language and accurate predictions are considered to be a game changer in achieving success on the stock market. Financial analysts, business analysts and trade analysts are employed in the organisations for this purpose, to monitor and analyse the impact of various happenings to stock prices. Their work can be simplified by using NLP with ML and AI techniques, are effective in analysing the data from internet, news, blogs and social networking sites (analysis of huge chunks of data across various channels). They can predict trade fluctuations, which enable investors to take the right decisions at the right time. For instance, when using sentiment analysis, words such as ‘good’, ‘profit’, ‘benefit’, ‘positive’ and ‘growth’ can be tagged with positive value, while those, such as ‘risk’, ‘fall’, ‘bankruptcy’, and ‘loss’ are tagged with negative values. Making meaning from the text identified using NLP and ML allows for accurate predictions to be made [32].
Similarly, NLP’s application in business can be observed in other forms, such as: filtering emails and identifying spam (by analysing text); enhancing security through voice recognition; extracting information from large datasets; using online assistants/chatbots (questioning-answering) for providing customer service; promoting business intelligence; placing relevant ads online by using keyword matching and sense disambiguation; analysing competitors and the market using event extraction techniques, this list being inconclusive [33, 34, 35, 36, 37]. NLP can be applied in E-Commerce/S-Commerce applications for analysing the consumer behaviour based on the feedback, posts, reviews, ratings etc. (text analysis). It can also provide effective customer support through virtual assistants that can respond to customer queries in a range of formats, including: text, speech, audio or video [38].
4.2 NLP in “E-Governance”
NLP can enhance E-Governance, which is completely reliant on an information and communication technologies infrastructure [39]. It can facilitate interaction between the citizens and government using an E-Governance framework. For example, citizens who are illiterate can share their opinions and interact with government through audio/video conversation, which can be translated into text for documentation. Similarly, voice-enabled mobile applications can read the text and convey messages to the people. In addition, government can use NLP for monitoring various channels through which people interact to identify their concerns. Moreover, in this context, it can be used for enhanced security, by preventing any breaches of this.
Interactions between citizens and government involve enormous volumes of information exchange. Filtering and formatting such large amounts of data is a complex task, which can be effectively managed by the use of NLP with AI and ML techniques [40]. For instance, sentiment analysis can be used for mining opinions from huge datasets, including feedback, complaints and reviews about a particular policy, thereby ascertaining what the general consensus on it is [41]. That is, it can be used to gauge opinions from feedback, complaints and suggestions made by the residents of a city in relation to various urban issues, such as carbon emissions, lack of a solid waste management system and lack of sanitation [42]. This would help the relevant government agencies in selecting appropriate strategies to address the issues identified. In sum, as a result of adopting these approaches, the communication between government and citizens could be markedly improved, in particular, the former could use them to identify the concerns of the latter and thus, address these in a timely manner. In addition, it encourages E-Participation from both sides, thereby greatly contributing to the effective implementation of government policies.
4.3 NLP in healthcare
The healthcare industry is one of the fastest growing. It has been integrating technology applications with healthcare practices, such as diagnosis and treatment for delivering effective and efficient services, which can be accessed by the majority of people, thereby overcoming any regional disadvantages (access in rural areas through E-Health services). However, the amount of data being collected through this process, in the form of such as EHRs (Electronic Health Records), sensor information, diagnoses, monitoring data, healthcare operations and management data is vast. It has been ascertained that about 80% of the healthcare data is unstructured, of poor quality, and considering the current format, it is effectively unusable [40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68]. NLP, in this context, can be considered as one of the effective approaches for addressing these problems by using it to parse information and extract critical strings of data, thereby offering an opportunity to leverage unstructured data. It has been already in use in various healthcare operations across the world. The market for NLP in healthcare and life sciences is expected to reach $2650.2 million by 2021 [44]. The major drivers of NLP applications in healthcare [40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69] include the following:
the rising need for handling the surge in clinical data;
support for value-based care and population health management;
improving clinical documentation and making computer-assisted coding more efficient;
improving patient and healthcare provider interactions;
empowering patients with health literacy;
increasing need for higher quality healthcare.
So far, the applications of NLP in healthcare have achieved remarkable results, as a result of which its deployment in healthcare technologies has been increasing in recent years. For instance, NLP techniques were used for reviewing more than 2 billion EHR documents for indications of PTSD, depression and potential self-harm in veteran patients, in 2013, by the Department of Veterans Affairs (USA) [45]. Similarly, in another study [46], an analytics algorithm that leverages NLP was able to predict the onset of psychosis in high-risk youths with 100% accuracy. Similarly, a study conducted by researchers from the University of Alabama found that by applying NLP techniques the reportable cancer cases identified was 22.6% more accurate than a manual review of medical records [47]. Further, various other studies have identified the potential benefits, including effective decision-making by physicians; reducing physician burnout (disillusionment among doctors tired of repetitive data entry tasks and administrative duties as well as excessive time spent combing through patient data); addressing accelerating demand for healthcare services; and dealing with increasing numbers of healthcare claims [48, 49, 50, 51], through the application of NLP techniques in the healthcare context.
4.4 NLP in education
NLP can enhance education technology in various ways, in particular, being effective in analysing data and text, thereby delivering meaningful outcomes. For learning of language-related subjects, it can enhance teaching by focusing on reading, writing and speaking. In general, it can support the needs of students, teachers and researchers [40, 41, 42, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71]. Language assessment (formative and summative) is one of the upcoming major areas of NLP application, being used for assessing student’s proficiency in reading, writing and speaking (e.g., automated scoring system for assessing/grading essays using NLP techniques). Syntactics analysis, for instance, can be used for correcting writing errors, which can provide instant feedback for correction and this process can be very useful for students, especially with the disabled, such as the deaf/ blind [41]. Other areas of application include proofreading, detecting errors of machine translation, assessing the meaning and content of student works, such as essays, short/long answers, training non-native speakers, and assessing reading and speaking [42, 52, 53, 54, 55].
Moreover, NLP can be used in the teaching the use of language, that is, any subject using any language as a medium. One of its current uses pertains to the chatbot/virtual assistant applications that are used for various purposes, including teaching, training, tutoring and assessment in the education sector. Chatbots can also be integrated with gaming technologies, which promotes an active learner environment in the E-Learning context, with virtual characters or avatars [56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71]. The chatbot application, similar to E-Learning resources, also fosters students’ engagement in learning activities by motivating them and gaining their attention by using innovative media features [57]. They can also be used in self-guided learning through learning modes, such as quizzes, which is one of the important principles of E-Learning [58]. However, many extant E-Learning approaches (online educational videos, online classes, portals) have been focused on one-way communication using rich and real-time media, thus failing to address pedagogical and social aspects. With the introduction of discussion forums and messaging applications, this issue was addressed to an extent, but increased the complexity and the amount of information to be processed, which can be a burden to the learner [59]. Chatbots in such instances can be very effective in providing the accurate information in real time, where the learners need not depend on different entities to seek answers. The personalisation and additivity features can be integrated into the chatbot applications, which can increase the accuracy of the learner model obtained by the student. He/she can negotiate jointly with the model using a natural conversational flow of interaction [59]. This aspect reflects the difference in designing educational chatbot applications and E-Learning resources. That is, for the former, voice user interface and conversational flow techniques need to be designed closely with the users of the system, this allows for the inclusion of culture and social issues in the stages of design, unlike E-Learning where the developers greatly influence the design process [70].
In addition to assessing students’ linguistic inputs, through such matters as feedback, assessments/ coursework, essays, short/long answers and serving as a medium of instruction (tutoring, teaching, training), NLP can also be used in processing text and speech in other ways that can support teachers, students, system developers and researchers. As the amount of electronically available text in education is increasing rapidly, NLP can be effective in organising the relevant text for teaching. For, it can be a very onerous task for teachers to identify appropriate materials for effective input during lectures. That is, teaching with the most up to date course materials is beneficial for both students in learning and teachers in teaching the subjects more effectively and efficiently [41]. In addition, NLP can be effective in research, especially in formulating meaningful extractions from bodies of literature (systematic reviews, scoping reviews, meta-analyses etc.). In addition, NLP can be effective in processing qualitative data, such as those collected from interviews, in various formats including audio, video and text. Moreover, it can be used for converting audio translations from one language to other or into text, thereby assisting with data analysis [60, 61].
4.5 NLP in other sectors
Sectors such as hospitality and travel, manufacturing and logistics, media and entertainment etc. can benefit from the application of NLP. For instance, the service engineers who repair electronics and other products at homes and offices need to provide the fault reports to the companies, which will be analysed and the identified issues would be resolved in products manufactured in future. However, compiling and interpreting information provided by the service engineers (age of devices, parts replaced, fault description etc.) could be a complex task for quality engineers as the text can be full of abbreviations, spelling mistakes and can range from verbose to abrupt in content length [72]. NLP can effectively refine such data and provide appropriate information for quality engineers. NLP can be implemented in all those areas where AI is applicable either by simplifying communication process or by refining and analysing information. Similarly, it is applied in hospitality and travel industry in providing excellent customer satisfaction through chatbots and virtual assistants in selecting hotels, booking flights, providing information about places to visit and experience etc., which is customised according to the travellers’ preferences [73]. Similar applications of NLP can be identified across all the sectors where the services are provided to the customers, such as streamlining the programs according to the customers’ viewing history on televisions (Media & entertainment) [74]; or communicating with travel chatbots about the travel routes while driving such as Google Maps(travel). Therefore, NLP can be applied across various sectors which are not only service oriented but also manufacturing sectors.
5. Future directions
NLP has made a major leap in the past few years, both in theory and practical integration into various industry solutions. Interacting with a virtual chatbot when booking a hotel or flight to extracting insights from call-centre interactions to analyse customer behaviour, such as their attitudes and satisfaction levels, has made NLP’s presence felt in almost every industry-based solution. With deep learning being progressively developed, it has finally come into its own with RNN, outperforming the traditional ML methods in a wide range of NLP tasks. It can deliver better performance than humans in complex tasks such as questioning-answering and machine translation [62]. In addition, the recent advances in the technology and practices are promising for improving scalability and robustness. That is, they herald a shift in how business organisations consume computing resources and deploy NLP applications. From the technical perspective, various new approaches have been emerging for such learning (NLP and deep learning using training data), such as the Universal Language Model Fine-tuning (ULMFit); and Bidirectional Encoder Representations from Transformers (BERT), developed by Google for contextual pre-training, which has now advanced to XLNet. This avoids the issues that BERT suffers from by using a technique called ‘permutation language modelling’ [63]. These methods have improved NLP tasks, outperforming state-of-the-art performance as well as obtaining high accuracy. For example, application of the ULMFit method on text classification tasks has reduced the error by 18–24% for the majority of datasets. In addition, with only 100 labelled examples, it matched the performance of training from scratch on a hundred times more data [62].
The market for NLP in future is considered to be very promising, for various reports [30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64] have projected a rapid increase in its application. The NLP market, including hardware, applications and service is projected to reach $22.3 billion by 2025, while the market for AI enabled NLP software has been forecast to reach $5.4 billion by 2025 [64]. With the integration of deep learning techniques and NLP, with platforms like iDS Cloud, businesses in future will reap benefits in the areas of customer services, marketing, business intelligence and operational management. This will reduce the dependency on the data scientists, thereby reducing the costs and improving process efficiency [65]. Humanoids/robotics is one of the most promising advancements in technology, which can be experienced in near future in industrial sectors and also in social lives for managing various tasks. However, enabling humanoids to function like humans in every aspect and assisting them in performing most complex activities would need the ability to comprehend entirely accurately human speech. Given the versatile nature of robots, NLP will become more important than ever, because a single misinterpreted command by one could lead to it performing undesirable actions and may even cause harm to humans. Research on designing socially intelligent robots by using NLP [66, 67] has been increasing in recent years, which could result in the development of fully functional and safe humanoids in the near future.
6. Conclusion
The purpose of this paper is to review the applications of NLP in business. NLP potential lies in effectively learning and understanding the natural language. It can handle the issues associated with translation and transliteration by effectively improving the communication process between humans and machines across various formats. Based on the review, it can be concluded that its presence in various industry-based solutions has been increasing in the recent years. Complex processes in commerce, such as predictions and decision-making in stock-market trading; simplifying customer interactions using chatbots on commerce platforms, thus making the interaction more enjoyable; analysing citizens issues from large volumes of data in E-governance; effectively managing healthcare operations, such as diagnoses, service delivery and records management; and improving the learning and teaching approaches in education sector, are some of the benefits that NLP techniques can engender. In addition, NLP’s integration with advanced technologies, such as ML, AI and deep learning, can deliver more accurate outcomes compared to the use of traditional methods. However, its application in the areas of AI, robotics, and other advanced systems is under-researched. In sum, given the efficiency of NLP techniques in improving the accuracy in data analysis and processing of natural language, it has immense scope for use in the areas of robotics and business intelligence in future.
\n',keywords:"NLP, ML, AI, deep learning, chatbots",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/71990.pdf",chapterXML:"https://mts.intechopen.com/source/xml/71990.xml",downloadPdfUrl:"/chapter/pdf-download/71990",previewPdfUrl:"/chapter/pdf-preview/71990",totalDownloads:915,totalViews:0,totalCrossrefCites:7,dateSubmitted:"October 1st 2019",dateReviewed:"March 20th 2020",datePrePublished:"May 11th 2020",datePublished:"May 19th 2021",dateFinished:"April 30th 2020",readingETA:"0",abstract:"Increasing dependency of humans on computer-assisted systems has led to researchers focusing on more effective communication technologies that can mimic human interactions as well as understand natural languages and human emotions. The problem of information overload in every sector, including business, healthcare, education etc., has led to an increase in unstructured data, which is considered not to be useful. Natural language processing (NLP) in this context is one of the effective technologies that can be integrated with advanced technologies, such as machine learning, artificial intelligence, and deep learning, to improve the process of understanding and processing the natural language. This can enable human-computer interaction in a more effective way as well as allow for the analysis and formatting of large volumes of unusable and unstructured data/text in various industries. This will deliver meaningful outcomes that can enhance decision-making and thus improve operational efficiency. Focusing on this aspect, this chapter explains the concept of NLP, its history and development, while also reviewing its application in various industrial sectors.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/71990",risUrl:"/chapter/ris/71990",signatures:"Mohammed Bahja",book:{id:"9546",type:"book",title:"E-Business",subtitle:"Higher Education and Intelligence Applications",fullTitle:"E-Business - Higher Education and Intelligence Applications",slug:"e-business-higher-education-and-intelligence-applications",publishedDate:"May 19th 2021",bookSignature:"Robert M.X. Wu and Marinela Mircea",coverURL:"https://cdn.intechopen.com/books/images_new/9546.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-78984-685-0",printIsbn:"978-1-78984-684-3",pdfIsbn:"978-1-83962-463-6",isAvailableForWebshopOrdering:!0,editors:[{id:"190913",title:"Dr.",name:"Robert M.X.",middleName:null,surname:"Wu",slug:"robert-m.x.-wu",fullName:"Robert M.X. Wu"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"312757",title:"Dr.",name:"Mohammed",middleName:null,surname:"Bahja",fullName:"Mohammed Bahja",slug:"mohammed-bahja",email:"m.bahja@bham.ac.uk",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Methods",level:"1"},{id:"sec_3",title:"3. Brief history of NLP",level:"1"},{id:"sec_4",title:"4. Applications of NLP in business",level:"1"},{id:"sec_4_2",title:"4.1 NLP in commerce",level:"2"},{id:"sec_5_2",title:"4.2 NLP in “E-Governance”",level:"2"},{id:"sec_6_2",title:"4.3 NLP in healthcare",level:"2"},{id:"sec_7_2",title:"4.4 NLP in education",level:"2"},{id:"sec_8_2",title:"4.5 NLP in other sectors",level:"2"},{id:"sec_10",title:"5. Future directions",level:"1"},{id:"sec_11",title:"6. 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Available from: https://www.wipro.com/en-IN/holmes/how-ai-is-transforming-the-media-and-entertainment-industry/ [Accessed: 14 February 2020]'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Mohammed Bahja",address:"m.bahja@cs.bham.ac.uk",affiliation:'
School of Computer Science, University of Birmingham, Birmingham, UK
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Services included are:
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An online manuscript tracking system to facilitate your work
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Personal contact and support throughout the publishing process from your dedicated Author Service Manager
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English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
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XML Typesetting and pagination - web (PDF, HTML) and print files preparation
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Discoverability - electronic citation and linking via DOI
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Permanent and unrestricted online access to your work
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Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
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Open Access Funding
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\n\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
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Added Value of Publishing with IntechOpen
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Indexing and listing across major repositories, see details ...
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Live Performance Metrics to track readership and the impact of your chapter
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The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. 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She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. Her research interests include immunity against influenza and COVID-19 and the development of immunization schemes for high-risk individuals.",institutionString:'Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"',institution:null},{id:"238958",title:"Mr.",name:"Atamjit",middleName:null,surname:"Singh",slug:"atamjit-singh",fullName:"Atamjit Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/238958/images/6575_n.jpg",biography:null,institutionString:null,institution:null},{id:"252058",title:"M.Sc.",name:"Juan",middleName:null,surname:"Sulca",slug:"juan-sulca",fullName:"Juan Sulca",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252058/images/12834_n.jpg",biography:null,institutionString:null,institution:null},{id:"191392",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Govindarajan",slug:"marimuthu-govindarajan",fullName:"Marimuthu Govindarajan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191392/images/5828_n.jpg",biography:"Dr. M. Govindarajan completed his BSc degree in Zoology at Government Arts College (Autonomous), Kumbakonam, and MSc, MPhil, and PhD degrees at Annamalai University, Annamalai Nagar, Tamil Nadu, India. He is serving as an assistant professor at the Department of Zoology, Annamalai University. His research interests include isolation, identification, and characterization of biologically active molecules from plants and microbes. He has identified more than 20 pure compounds with high mosquitocidal activity and also conducted high-quality research on photochemistry and nanosynthesis. He has published more than 150 studies in journals with impact factor and 2 books in Lambert Academic Publishing, Germany. He serves as an editorial board member in various national and international scientific journals.",institutionString:null,institution:null},{id:"274660",title:"Dr.",name:"Damodar",middleName:null,surname:"Paudel",slug:"damodar-paudel",fullName:"Damodar Paudel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274660/images/8176_n.jpg",biography:"I am DrDamodar Paudel,currently working as consultant Physician in Nepal police Hospital.",institutionString:null,institution:null},{id:"241562",title:"Dr.",name:"Melvin",middleName:null,surname:"Sanicas",slug:"melvin-sanicas",fullName:"Melvin Sanicas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241562/images/6699_n.jpg",biography:null,institutionString:null,institution:null},{id:"337446",title:"Dr.",name:"Maria",middleName:null,surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico, Medical Sciences Campus",country:{name:"United States of America"}}},{id:"338856",title:"Mrs.",name:"Nur Alvira",middleName:null,surname:"Pascawati",slug:"nur-alvira-pascawati",fullName:"Nur Alvira Pascawati",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universitas Respati Yogyakarta",country:{name:"Indonesia"}}},{id:"441116",title:"Dr.",name:"Jovanka M.",middleName:null,surname:"Voyich",slug:"jovanka-m.-voyich",fullName:"Jovanka M. Voyich",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Montana State University",country:{name:"United States of America"}}},{id:"330412",title:"Dr.",name:"Muhammad",middleName:null,surname:"Farhab",slug:"muhammad-farhab",fullName:"Muhammad Farhab",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"435274",title:null,name:"Muhammad",middleName:null,surname:"Shahid Khan",slug:"muhammad-shahid-khan",fullName:"Muhammad Shahid Khan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Islamia University of Bahawalpur",country:{name:"Pakistan"}}}]}},subseries:{item:{id:"11",type:"subseries",title:"Cell Physiology",keywords:"Neurodevelopment and Neurodevelopmental Disease, Free Radicals, Tumor Metastasis, Antioxidants, Essential Fatty Acids, Melatonin, Lipid Peroxidation Products and Aging Physiology",scope:"
\r\n\tThe integration of tissues and organs throughout the mammalian body, as well as the expression, structure, and function of molecular and cellular components, is essential for modern physiology. The following concerns will be addressed in this Cell Physiology subject, which will consider all organ systems (e.g., brain, heart, lung, liver; gut, kidney, eye) and their interactions: (1) Neurodevelopment and Neurodevelopmental Disease (2) Free Radicals (3) Tumor Metastasis (4) Antioxidants (5) Essential Fatty Acids (6) Melatonin and (7) Lipid Peroxidation Products and Aging Physiology.
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He is Member ofthe National Research Council (CONICET), Argentina, and Argentine Society foBiochemistry and Molecular Biology (SAIB). His laboratory has been interested for manyears in the lipid peroxidation of biological membranes from various tissues and different species. Professor Catalá has directed twelve doctoral theses, publishedover 100 papers in peer reviewed journals, several chapters in books andtwelve edited books. Angel Catalá received awards at the 40th InternationaConference Biochemistry of Lipids 1999: Dijon (France). W inner of the Bimbo PanAmerican Nutrition, Food Science and Technology Award 2006 and 2012, South AmericaHuman Nutrition, Professional Category. 2006 award in pharmacology, Bernardo\r\nHoussay, in recognition of his meritorious works of research. Angel Catalá belongto the Editorial Board of Journal of lipids, International Review of Biophysical ChemistryFrontiers in Membrane Physiology and Biophysics, World Journal oExperimental Medicine and Biochemistry Research International, W orld Journal oBiological Chemistry, Oxidative Medicine and Cellular Longevity, Diabetes and thePancreas, International Journal of Chronic Diseases & Therapy, International Journal oNutrition, Co-Editor of The Open Biology Journal.",institutionString:null,institution:{name:"National University of La Plata",institutionURL:null,country:{name:"Argentina"}}},editorTwo:null,editorThree:null,series:{id:"10",title:"Physiology",doi:"10.5772/intechopen.72796",issn:"2631-8261"},editorialBoard:[{id:"186048",title:"Prof.",name:"Ines",middleName:null,surname:"Drenjančević",slug:"ines-drenjancevic",fullName:"Ines Drenjančević",profilePictureURL:"https://mts.intechopen.com/storage/users/186048/images/5818_n.jpg",institutionString:null,institution:{name:"University of Osijek",institutionURL:null,country:{name:"Croatia"}}},{id:"187859",title:"Prof.",name:"Kusal",middleName:"K.",surname:"Das",slug:"kusal-das",fullName:"Kusal Das",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBDeQAO/Profile_Picture_1623411145568",institutionString:"BLDE (Deemed to be University), India",institution:null},{id:"79615",title:"Dr.",name:"Robson",middleName:null,surname:"Faria",slug:"robson-faria",fullName:"Robson Faria",profilePictureURL:"https://mts.intechopen.com/storage/users/79615/images/system/79615.png",institutionString:null,institution:{name:"Oswaldo Cruz Foundation",institutionURL:null,country:{name:"Brazil"}}},{id:"84459",title:"Prof.",name:"Valerie",middleName:null,surname:"Chappe",slug:"valerie-chappe",fullName:"Valerie Chappe",profilePictureURL:"https://mts.intechopen.com/storage/users/84459/images/system/84459.jpg",institutionString:null,institution:{name:"Dalhousie University",institutionURL:null,country:{name:"Canada"}}}]},onlineFirstChapters:{},publishedBooks:{},testimonialsList:[{id:"27",text:"The opportunity to work with a prestigious publisher allows for the possibility to collaborate with more research groups interested in animal nutrition, leading to the development of new feeding strategies and food valuation while being more sustainable with the environment, allowing more readers to learn about the subject.",author:{id:"175967",name:"Manuel",surname:"Gonzalez Ronquillo",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",slug:"manuel-gonzalez-ronquillo",institution:{id:"6221",name:"Universidad Autónoma del Estado de México",country:{id:null,name:"Mexico"}}}},{id:"8",text:"I work with IntechOpen for a number of reasons: their professionalism, their mission in support of Open Access publishing, and the quality of their peer-reviewed publications, but also because they believe in equality.",author:{id:"202192",name:"Catrin",surname:"Rutland",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",slug:"catrin-rutland",institution:{id:"134",name:"University of Nottingham",country:{id:null,name:"United Kingdom"}}}},{id:"18",text:"It was great publishing with IntechOpen, the process was straightforward and I had support all along.",author:{id:"71579",name:"Berend",surname:"Olivier",institutionString:"Utrecht University",profilePictureURL:"https://mts.intechopen.com/storage/users/71579/images/system/71579.png",slug:"berend-olivier",institution:{id:"253",name:"Utrecht University",country:{id:null,name:"Netherlands"}}}}]},submityourwork:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],subseriesList:[],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/66387",hash:"",query:{},params:{id:"66387"},fullPath:"/chapters/66387",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()