Classifications of oronasal fistula.
\r\n\tThe WHO classification in 2007; was based on the histogenesis and cell origin of the tumor. In the latest classification made in 2016; to better characterize the tumor and obtain better data on its prognosis; The combination of molecular and genetic biomarkers and histopathological features of the tumor was used. Despite all current treatment approaches, the median survival time is around 12 months in most GBM patients. Compared with the situation of some types of successfully treated cancers; the survival time of GBM patients is not at an acceptable level today. In the treatment of CNS tumors; surgery, chemotherapy, and radiation treatments (x-rays, gamma rays, electron and proton beams) are used. The therapeutic potential of chemotherapy; New strategies are needed to increase drug concentration at the diseased site, as this largely depends on the ability of the chemotherapeutic agent to achieve effective concentrations at tumor localization. Based on our better understanding of the genetic and molecular characteristics of CNS tumors; Targeted therapies, including vaccines, and treatment protocols such as immunotherapy are promising developments.
\r\n\r\n\tThis book supposes to be written by many authors who have an internationally honored place in their field to share their ideas about the treatment of CNS tumors. Surgery, Radiotherapy, Chemotherapy and Antiangiogenic Therapy Protocols, Immunotherapy, Molecular Therapy, Specific target-agents therapy with Nanoparticles and Gene Therapy for CNS tumors among the book chapters.
\r\n\tIn these sections; there are many practical pieces of information that can help the students who graduated from the Medicine Faculty and specialist doctors who are interested in Neurosurgery.
The concept of self is notoriously difficult to define and different notions and theories of the self have been proposed by a variety of disciplines all interpreting concepts of self and identity in various ways. We adopt the definition advanced by neuroscientists Kircher and David [1] who interpret the self as ‘the commonly shared experience, that we know we are the same person across time, that we are the author of our thoughts/actions, and that we are distinct from the environment’ (p.2). In cognitive neuroscience literature, operational definitions of the self are used which are measurable by experimental methods including self recognition, self and other differentiation, body awareness, awareness of other minds, awareness of self as expressed in language and important concepts such as autobiographical memory and self narrative. There is significant interest in the role of the self and possible abnormalities associated with the self, as causally implicated in autism. In this paper we review developmental perspectives of self and self-related functions with reference to their neuroanatomical basis and investigate the possible causes for atypical self-development in Autism Spectrum Disorders (ASD).
The question whether individuals with ASD have a different sense of self than people without ASD, i.e. ‘neurotypicals’ has fascinated researchers and clinicians for decades. Kanner [2] in 1943 already noted self-deficits in the children he described, including their difficulties in maintaining a constant self-concept, and associated problems of adapting their fragile self-concept to changing environments. Asperger [3] (1974, p. 2026) refers to a disturbance and a weakness of the self in children with ‘autistic psychopathy’. Psychoanalytic theories considered autism as a disorder of the self [4] based on the lack of ability in establishing stable internal representations of themselves and of others. The German psychiatrist Lutz [5] (1968) interpreted autism as a disturbance of self-consciousness, self-related activities and self-perception. Powell and Jordan [6] (1993) suggested that individuals with ASD lack an ‘experiencing self’ that provides a personal dimension for ongoing events. This is consistent with Frith’s [7] suggestion of an ‘absent self’ in autism. Hobson [8] put forward a developmental account of the self in autism emphasising impaired interpersonal relatedness, ‘intersubjectivity’ and its far-reaching consequences for the development of the self. In a recent study investigating whether children with autism show abnormal self-other connectedness, Hobson and Meyer [9] found a failure in autism to identify with another person. These authors suggest that this process of identifying with others is crucial for a normal development of self-other relationship and the basis for understanding other minds.
There is general consensus among developmental theorists [e.g. 10,11] that early interpersonal communication is central to the establishment of the self in normal development. A large body of research literature indicates that early processes underlying self-other awareness are impaired or delayed in autism including gaze following, abnormal response to sound and deficits in attention [12], showing of objects, responding and orienting to own name [13], looking at other’s faces [14], pretend play, protodeclarative pointing and gaze monitoring [15], empathy and imitation [16], joint-attention behaviour [17], affect and personal relatedness [18,19].
The ability to recognize one’s own face in the mirror is considered a test for ‘self-awareness’. Self-recognition as measured by mirror tests [20] in 18 months old children has been depicted as a developmental milestone in self-conception and described as the ‘achievement of a cognitive self’ [21]. Not only is self recognition essential for developing a concept of self, and self-other differentiation, it is also a prerequisite for later developing theory of mind abilities, as a stable self concept is the basis for being able to read the mental states of others. Research data on self-recognition reveals that autistic children’s responses to their mirror images are qualitatively different from those of normal children [22]. Children with ASD have deficits of self-awareness as measured by a self-recognition test [23] they show little interest in their own mirror images and have been described as relatively ‘face inexperienced’ [24].
The prefrontal cortex, especially the Right Hemisphere (RH) plays a critical role in the recognition of one’s own face [25] as evidenced by functional imaging studies. Face perception studies in individuals with ASD suggest abnormal functioning in the fusiform face area as well as amygdala, brain regions associated with the ‘social brain’ (e.g. 26,27] involving the RH.
The ability to differentiate between self and other is also essential for the development of self-awareness, which appears to be impaired in autism. In particular, the recognition of a separate existence of other people seems to be delayed in children with autism [28,29]. Attentional abnormalities, such as ‘tunnel vision’, the tendency to think in a monotropic manner have been suggested by some as the cause of ‘self-other problems’ in ASD [30]. Donna Williams [31] interprets monoprocessing as the inability to process simultaneously information of oneself and others.
In neurotypicals the middle cingulate cortex and ventromedial prefrontal cortex are involved in self/other processing. In contrast, atypical neural responses have been reported in individuals with ASD. A recent fMRI study [32] investigating the attribution of behavioural outcomes to either oneself or others while playing an interactive trust game revealed a lack of brain activity in the cingulate cortex indicating diminished ‘self responses’ in individuals with ASD. However, ‘other responses’, attributing actions to other people were intact. Previous research data using trust games [33] had demonstrated that cingulate cortex activation is consistent with self-response patterns generated during interpersonal exchanges. Chiu et al
Previous studies identified the right inferior parietal lobe, along with frontopolar and somatosensory regions [36,37] as critical for distinguishing between self and other. Additional data [e.g. 38] demonstrate that SI and SII cortices, which contribute to the mirror-neuron system, are also crucial for preserving a sense of self.
Knowing oneself and knowing one’s body are closely related concepts. In his review on body image and the self, Goldenberg [39] argues that the acquisition of body image is not innate but acquired through experiences of one’s own and other bodies. Likewise, Jordan and Powell [40] believe that a body concept develops from interacting with others. Anecdotal reports indicate that some children and adults with autism have an insecure body image or totally lack body awareness. Russell [41] suggested that the ’body schemas of persons with autism are poorly specified’ resulting in an atypical experience of agency. A sense of agency is a central aspect of human self-consciousness and refers to the experience of oneself as the agent of ones actions. Based on his executive function account of impaired action monitoring Russell [42] put forward the hypothesis that individuals with autism are impaired in distinguishing between self and others. In contrast, a recent study by Williams and Happè [43] suggests that individuals with ASD are aware of their agency as indicated by their ability to monitor their own actions.
Support for a dominant role of the right hemisphere in the above processes is substantial. The right posterior parietal lobe is generally associated with spatial and bodily awareness [44,45]. Activation of right inferior parietal lobe correlates with a sense of ownership in action execution [46]. Additional research evidence [47] based on transcranial magnetic stimulation (TMS) supports the significance of the right temporo-parietal junction in the maintenance of a coherent sense of one’s body.
An essential component of self-awareness is the ability to be aware of other minds. A multitude of studies have provided evidence that theory of mind is lacking or delayed in ASD, or develops differently than in neurotypicals [for a substantive review see 48]. Deficits in mindreading may also affect the ability to reflect on one’s own mental states [49] resulting in diminished self-awareness. There is some evidence suggesting that the ability to think about one’s own thoughts depends on the same cognitive and neural processes as mindreading [50]. Equally, emotions play an important role in self-awareness. The development of the capacity to experience, communicate and regulate emotions is considered to be the most important event in infancy [51]. One of the main characteristics of autism is lack of empathy and emotional engagement with others [52,53]. Children with autism have difficulties with interpreting emotions, are deficient in processing their own emotional experiences and pay little attention to emotional stimuli in general [e.g. 54-57]. Due to this inability to empathize and emotionally engage with others individuals with ASD are totally focussed on their own interests and concerns.
A network of structures important for theory of mind processing includes the superior temporal sulcus and the adjacent temporo-parietal junction, the temporal poles and the medial prefrontal cortex [58; see also 59 for a review). Research evidence implicated the RH in theory of mind reasoning across various tasks [60, 61]. The neural substrates for emotions and empathy are complex [62] involving amygdala, ventral medial prefrontal cortex. Recent imaging studies point to an involvement of a ‘mirror neuron circuit’ for empathy [63,64].
In apparent contrast to the mentalizing impairment even among very high functioning individuals with ASD is their often-documented increased sense of self or total focus on the self [65,66,67] that is also reflected in numerous biographical accounts. The term ‘autism’ is derived from the Greek word ‘autos’ (‘self’) and since Kanner’s time this focus on the self as atypical applies to all individuals with ASD. Extreme egocentricity was one of the diagnostic criteria for Asperger Syndrome proposed by Gillberg & Gillberg [68]. Frith and de Vignemont [69] suggest that there are differences to reading other minds depending on whether the other person can be understood using an ‘egocentric’ or an ‘allocentric’ standpoint. From an egocentric point of view other people are understood only relative to the self whereas from an allocentric stance the mental state of a person is independent from the self. These theorists suggest that individuals with ASD suffer from an imbalance between both point of views, ‘they are unable to connect an egocentric to an allocentric stance and can only adopt extreme forms of either’ [70]. This very detailed analysis of mindreading further illustrates the different and unique aspects of awareness of self and others in individuals with ASD.
Awareness that we are the same person across time, also defined as temporally extended self-awareness [71] is an essential part of one’s self-concept. Although the results of two recent studies [72,73] indicate that individuals with ASD have undiminished temporally extended self-awareness as assessed by the delayed self-recognition task, this task may not adequately measure self-awareness as suggested by Lind & Bowler [74]. Indirect evidence suggests that temporally extended self-awareness is impaired in ASD based on their problems with theory of mind as well as some aspects of temporal cognition [75]. Alternative explanations are the autobiographic memory difficulties [76] and also the well-documented language impairments in ASD. Language is a medium with which we monitor ourselves and it allows us to experience past, present and future [77].
Conceptions about oneself and others develop from an early age and depend largely on the emergence of language. At around 18 months of age children start referring to themselves as ‘I’ and begin using the word ‘you’ for others, indicating a further development in their self-other awareness. According to Kircher and David [78] ‘the symbolic presentation of the self in language is the personal pronoun I’. Language difficulties such as pronoun reversal, use of third person perspective, impoverished inner speech, and impaired narrative have a negative effect on mental processes and also restrict certain aspects of self-awareness.
There is substantial clinical and research evidence of impaired pragmatic language use in children with ASD as indicated by pronoun reversal errors (‘I’/’me/’you’) [79-82] reflecting general difficulties with their sense of self, as well as problems in self-other differentiation.
Peeters et al. [83] suggested that the reason children with autism sometimes communicate from a third-person perspective instead of a first- vis-à-vis second person perspective is that in contrast to typically developing children they possess a non-social basis of self-other categorization. Use of a third person perspective also has consequences for attribution of mental states, and mentalizing ability in general. As argued by Northoff and Heinzel [84] a third person perspective is an indication of a fragmented image of self and other. Adults with ASD also appear to have difficulties with first person pronoun usage [85]. Of particular interest might be the fact, that Hans Asperger often used to refer to himself from a third person perspective [86].
A fundamental role in self-awareness is attributed to inner speech [87] that is impaired in ASD [88]. When asked about the nature of their thoughts, a group of adults with Asperger syndrome reported mainly images and actions as their only inner experience and made no reference to inner speech or emotions [89]. Many individuals with ASD are visual thinkers and rely heavily on visualization to process information [90].
A recent fMRI study [91] provided evidence of underintegration of language and imaging in autism by showing that individuals with ASD are more reliant on visualization to support language comprehension. These authors suggest that cortical underconnectivity is the reason for the lack of synchronization between linguistic and imaginal processing in autism. Supporting these findings are the results of an imaging study on daydreaming [92] indicating that autistic individuals do not ‘daydream’ about themselves or other people. This study also points to a link between daydreaming and the construction of self and self-awareness.
In summary, language is of fundamental significance to self-awareness and necessary for forming a clear identity of self and others. Another important dimension in the formation of the self that is also dependent on language is autobiographical memory as well as the construct of a narrative self.
Many influential theorists [93,94] associate the development of self with the emergence of autobiographical or episodic memory. The components necessary for a fully functioning autobiographical memory are a basic memory system, spoken or signed language, understanding and production of narrative, temporal understanding, self-awareness and theory of mind [95]. Autobiographical memory not only depends on these cognitive constructs but is also specifically concerned with events that have specific meaning to the individual. This personal significance evolves through emotions and motivations that are constructed in interaction with others. Autobiographical disturbances can arise from combined deficits in the realms of memory, emotion and self-related processing which are intricately connected, both behaviourally and neurologically [96].
The majority of components that make up an autobiographic memory system are impaired in autism. There is significant evidence that individuals with ASD have circumscribed episodic memory impairments, e.g. they have an impaired recall for personally experienced events [97-101]. As suggested by Millward et al [102] individuals with ASD remember real-life episodes less well than other people because they have no ‘experiencing self’. Wheeler et al [103] in their investigation of episodic memory in autism concluded that remembering of personal events requires the ‘highest form of consciousness, autonoetic consciousness (self-knowing), which is dependent of self-awareness’.
The prevailing view is that episodic memory is created in the neocortex and subsequently stored in the medial-temporal lobes and after a time becomes independent and is distributed in neocortical networks [104]. Whereas the left temporal lobe is dominant for the acquisition of new verbal information, episodic information involves mainly the right fontal lobes [105, 106]. Neuroimaging studies provide evidence for right frontal involvement in the processing of autobiographic memories [e.g. 107]. The RH is especially important for memories with emotional contents.
Many theorists [e.g. 108, 109] have highlighted the importance of the narrative self and argued that the autobiographical self is a similar construct as the narrative self. Individuals create their own identity by constructing autobiographical narratives or life stories [110]. The benefits of a personal or narrative self are significant; a narrative mediates self-understanding and creates coherence out of life’s experiences. Narrative emerges early in development and narrative and self are inseparable [111]. The creation of a narrative self depends on various cognitive capacities, including working memory, self-awareness, episodic memory and reflective metacognition, a sense of agency, the ability to attribute action to oneself together with a capacity for temporal integration of events, a fully functioning pronoun system, an ability to differentiate between self and non-self as well as a sense of one’s own body that is based on proprioceptive-motor processes [112].
The mechanisms responsible for each of the above dimensions are impaired in autism and as a consequence individuals with ASD have great difficulties in constructing a self-narrative. If autobiographical material cannot be provided, the narrative is disoriented and confused and in many cases is no narrative at all but only confabulation [113], which is often the case in autism. As a result, the narrative of individuals with ASD, and the self that is represented in this narrative, is quite vague and not representing the true self. Research evidence confirms deficits in narrative abilities in individuals with ASD [114-116].
Language and symbolic functions are localized in the left hemisphere, whereas narrative abilities are considered to be a function of the right hemisphere. There is a significant evidence for RH contribution to social language and many of the functions associated with autobiographic memory specifically those with emotional contents. In addition, narrative organisation depends on coordination of activity among various brain regions [117] and as suggested by Belmonte [118] malfunction in neural connectivity may be the underlying problem with autistic narrative.
To summarize, there is substantial evidence that the main components of self-awareness including self recognition, self-other differentiation, body awareness, theory of mind, intersubjectivity, emotion processing, language (pronoun reversal, inner speech, third person perspective), autobiographical memory and narrative self are impaired in ASD. Our review of neural substrates underlying these processes has highlighted the significance of the Right Hemisphere.
From a neural point of view the self can be viewed as a complex and dynamic representation consisting of multiple brain networks [119, 120]. The origins of self begin in infancy and over the first several years of life normally developing children acquire an understanding of different dimensions of self and other. Deviant development in autism is likely to result in a cascade of developmental impairments including dysfunctional self-related processes as outlined above. Various brain regions have been indicated in the pathogenesis of autism including frontal lobes [e.g., 121] cerebellum [122], parietal lobes [123], hippocampus [124] and amygdala [125]
In the following sections we will explore three neural theories implicated in the development of an atypical or different sense of self in individuals with ASD. Apart from the involvement of the RH in self-related processes a dysfunctional mirror neuron system as well as abnormal connectivity may have a role to play in the atypical developmental trajectories in ASD.
The prefrontal cortex plays a vital role in the development of the self as it generates a sense of self and facilitates many links with other parts of the brain. Cognitive neuroscience studies have shown that the RH plays a special role in personal relatedness, which is intimately linked to the development of the self. Based largely on recent neuroimaging research evidence an increasing number of cognitive neuroscientists have emphasized the specific role of the RH in self-related functions [129-132]. Specifically the right dorsomedial prefrontal cortex seems to play a critical role in the development of models of the self [133]. This has been confirmed by several imaging studies, including a recent study of self-evaluation [134]. As described in the previous paragraphs there is substantial research evidence that the RH may be dominant for self-awareness and self-related functions. The psychiatrist and philosopher Iain McGilchrist [135] provided an extensive exploration of the dominance of the RH in self-related processes.
Elsewhere, Lyons and Fitzgerald [136] put forward the theory that RH impairment leads to a dysfunctional self-development in ASD. There is substantial research evidence linking Asperger syndrome to right hemisphere dysfunction [e.g. 137, 138]. The RH is dominant in the first years of human life when the major brain development during critical periods takes place. Results of a cerebral metabolism study in children (aged between 18 days to 12 years) showed that the RH is prominently activated, suggesting that the RH develops earlier than the LH [139]. The RH in implicated during early social interactions [140] including early attachment processes [141], maternal face and voice recognition [142] as well as the ability to view others in a similar way as the self [143]. The developing self depends on relations with others and these early experiences are vital for the maturation of the right brain system. Substantial behavioural evidence of infants who later developed autism is supporting the theory of disrupted intersubjective behaviour. We argue that impairments in neurobiology affecting particularly the RH both cause and interact with defects in personal relatedness and later developing self processes.
The ‘Abnormal Neural Connectivity Theory’ proposes that autism is a distributed system-wide brain disorder that restricts the coordination and integration among various brain areas. The original positron emission tomography (PET) study by Horwitz et al. [144] found reduced correlations among frontal cortex, parietal and other brain regions and suggested that autism involves impairment in functional connectivity between frontal cortex and other brain systems
Studies of the cerebral cortex in autism show abnormalities of synaptic and columnar structure. Cortical minicolumns are fundamental units of cerebral cortical information processing. Examination of neurons revealed abnormalities in the size of cortical minicolumns particularly in the frontal and temporal lobes in ASD [152, 153] that could alter overall levels of connectivity within the brain. These findings are in accordance with the observed white matter abnormalities reported particularly in people with ASD [154]. A recent study using functional connectivity MRI (fcMRI) [155] provided further evidence of atypical enhanced functional connectivity suggesting that abnormal connectivity may be linked to developmental brain growth disturbances in autism.
These studies suggest that connectivity among diverse brain areas may be the core problem in autism. In autism the network connectivity through which various brain areas communicate with each other are limited, particularly the connections to the frontal cortex [156] which is dominant for self-related processing particularly in the RH. The network model of the self proposed by Stuss et al. [157] suggests that the self is hierarchically organized, with the highest level of the self involved in self-awareness being subserved by frontal lobes. Early developmental impairments in minicolumnar microcircuitry in the frontal cortex in autism could be the reason for the deficits found in higher order frontal processes [158] which are likely to result in fragmented self awareness and identity formation in autism.
Another recent neural theory of autism suggests that a dysfunctional mirror neuron system may be fundamental to the aetiology of autism [159, 160]. The existence of mirror neurons in humans has been demonstrated by a number of EEG and imaging studies [e.g. 161]. Mirror neurons are activated in relation both to specific actions performed by self and matching actions performed by others, providing a potential bridge between minds [162] and might have a role to play in self related processes. Mirror neurons may enable us to understand the actions of others by mapping the actions of other people to our own motor system and so allow a shared representation of actions. In addition to understanding the action of others this so-called ‘mirroring’ might also allow the automatic experience of the intention and emotion of the other person as suggested by Kaplan and Iacoboni [163].
Research has demonstrated that mirror neuron activity correlates with empathy [164] and social competence in general [165]. It has been suggested that mirror neurons are a prerequisite for the normal development of self-recognition, imitation, theory of mind, empathy, intersubjectivity and language [166, 167]. Furthermore, mirror neurons are likely to play a central role in self-awareness. To quote Ramachandran and Oberman [168] ‘they may enable humans to see themselves as others see them, which may be an essential ability for self-awareness and introspection’ (p.41). Developmental data suggest that there is higher imitative behaviour in children that can self-recognise, possibly facilitated by mirror neurons, in contrast to those who cannot [169]. Providing support for a RH hypothesis in self-related functions are recent imaging studies [170, 171] indicating that a frontoparietal ‘mirror’ network is associated with self-recognition processes.
Several recent functional brain-imaging studies have found evidence of mirror neuron dysfunction in individuals with ASD in social mirroring tasks [172], motor facilitation [173], and imitation [174]. A fMRI study [175] revealed that individuals with autism showed a different pattern of brain activity during cognitive tasks relating to self-referential processing. The authors concluded that a core deficit in autism might be related to the construction of a sense of self in its relation with others. Echoing Hobson [176] Iacoboni [177] suggests that primary intersubjectivity is the basis for the development of the neural systems associated with internal and external self-related processes. Failure or abnormal development of a fully functioning mirror neuron system in the autistic infant is likely to result in a cascade of developmental impairments including dysfunctional self-related processes.
The centrality of an impaired sense of self in autism has been the focus of research for many decades. The development of self-awareness is a complex process that involves integration of information from many sources and coordination across the brain systems involved in self-related concepts. A sense of self emerges from the activity of the brain in interaction with other selves. There is substantial evidence that early deficits in self-development including impaired relations with others result in a fragmented and atypical sense of self in ASD. In this review we have presented evidence that a great majority of self-related processes that are mediated to a significant extent by the right hemisphere are impaired in individuals with ASD. Additional lines of investigation indicate that an unintegrated sense of self in autism is also potentially associated with abnormal functional connectivity and an impaired mirror neuron system. Consequences of this atypical sense of self are the well-documented impairments individuals with ASD experience in the social and communication domain. In contrast, there have been suggestions that this different sense of self might be a contributory factor to the significant talents and special skills present in a majority of individuals with ASD. Happè & Vital [178] put forward the notion that diminished self-awareness in ASD might be advantageous in the development of these special gifts.
Cleft lip and palate are among the most common birth defects in the craniofacial region [1]. The prevalence of isolated cleft palate is 1 in 2000 live births [2].
Management of children born with a cleft lip and/or palate necessitates long-term and multidisciplinary involvement and multidisciplinary to obtain the most satisfactory results [3].
In an attempt to correct such abnormality, non-surgical appliances, as well as surgical correction procedures, could be adopted for the affected individuals.
Following surgical correction, oronasal fistula constitutes the most common complication, which compromises the goal of palatoplasty [4], and is further considered (with other two additional complications, namely velopharyngeal insufficiency [VPI] and midface hypoplasia) as a metric and quality indicator [5].
In this chapter, oronasal fistula, as one of the expected deleterious outcomes of cleft palate surgery, is discussed thoroughly. Its definition, causes, classification, incidence, diagnosis, and management (both non-surgical and surgical treatment) are identified.
Generally, fistula refers to a communicating track between two epithelial surfaces, commonly between a hollow viscus and the skin (external fistula) or between two hollow viscera (internal fistula), lined with granulation tissue which is subsequently epithelized [6, 7]. Specifically, the nasal cavity is separated from the oral cavity anteriorly by the premaxilla and maxilla and posteriorly by the horizontal plate of the palatine bone [8]. The oronasal fistula (ONF) is an internal fistula and represents an abnormal epithelized track communicating between the nasal cavity and mouth [7].
There are many causes of fistulas of the hard palate that involve the nasal or antral cavities, or both [9]. Moreover, it is a known complication of cleft palate repair. Most commonly, sutures within the oral mucosa break down 1 week after surgery, leaving a local fissure at the surgical site in the oral cavity. This local fissure either eventually heals well after proper treatment or develops into a channel between the oral and nasal cavity, which is called an oronasal fistula, or ONF [10].
There is substantial variation in fistula incidence following surgical repair of cleft palate. Its occurrence is ranging widely, between 12 and 45%, as reported by Schultz in 1986 [11], and from 4–60% according to other studies. The occurrence of fistula following surgery is as high as 4–45%, which makes the cleft palate repair more challenging. Unfortunately, to date [12], there remains a wide range in frequency, which may be due to the absence of one agreed (unanimous) surgical technique, the application of different surgical techniques for cleft palate repair, the timing of the repair, the severity of the cleft and the surgeon’s experience. (Figure 1). Moreover, the current literature on fistula rates and surgical techniques is inconsistent [13].
Potential factors behind the wide difference in fistula rate following Palatoplasty.
Practically, surgical treatment of fistulas is often complicated by high recurrence rates (up to 33%), and further aggravated by multiple scars surrounding the lesion, which lead to more complicated recalcitrant fistulas [14].
Females’ patients are more frequently seen to be affected with CP [15]. However, oronasal fistulas after cleft palate repair seem to occur more commonly in males, for unknown reasons. Moreover, site-wise, Musgrave and Bremner’ found that the frequency of fistulas was significantly greater with bilateral cleft lip and palate than in unilateral cases [16].
The most common sites of fistulization are the hard palate and the transition between the hard and soft palates. However, it can also occur in the soft palate [17].
A systematic review published in 2017 by Reddy et al., showed that there was no conclusive evidence for the effects of one-stage versus two-stage palate repair on the frequency of fistulas [18]. Another study showed that there is no difference in the fistula rate in one-stage or two-stage palatoplasty [19], although recent accumulative data showed that a one-stage repair of the cleft palate is associated with a decreased risk of fistula formation compared to a two-stage repair [20].
Furlow’s technique is reported to be less prone to postoperative fistula than von Langenbeck and Veau/Wardill/Kilner techniques [20]. Furlow’s technique bases its principle on gaining length at the expense of width. Accordingly, the Furlow technique’s outcome is affected by the width as the only risk factor, as reported by Li et al. [21].
There are many causes for oronasal fistula, but the congenital cause in cleft palate patients (primary fistula) still remains the main etiology for oronasal fistulas [10].
The causes of fistula after palatoplasty (secondary fistula) may be precipitated by one of these factors (Figure 2):
Causes related to the nature of the cleft, such as the width of the cleft.
The amount of deficiency in the palate segments, as well as the misplacement and distortion of the cleft segment [22].
Causes related to the procedure and its sequelae, such as inadequate dissection of the flaps, closure under tension, post-operative bleeding, hematoma formation between the oral and nasal layers, and infection [23].
Potential causes of ONF following palatoplasty.
Oronasal fistula can be diagnosed depending on the criteria in the Figure 3 [7, 26].
Diagnostic criteria of Oronasal fistula.
Small palatal fistulas may not be symptomatic, so in many cases, surgical intervention is not justifiable, on the other hand, large palatal fistulas produce various symptoms [27]; These symptoms, may related to some extent to the site of the fistula, which can manifest themselves as nasality in speech, leakage of fluids into the nose, and food lodging in the defect; bad odors, bad tastes, as well as upper respiratory tract infections (Figure 4) [10, 23].
Oronasal fistula after palatoplasty.
The fistula may be present anywhere along the primary or secondary palate.
Palatal fistulae either being as:
A primary fistula associated with the clefting of the hard palate, or a
A secondary fistula may represent a failure of surgical techniques for the correction of cleft palate [4].
Numerous classification systems have been put forth over many years. But still, there is no agreed classification, examples of such classifications are Cohen et al. (1991) classification as well as Pittsburgh Fistula classification (Table 1) [12, 28, 29].
Classification’s Name | Classification’s Parameter | Description |
---|---|---|
Fistula’s site |
| |
Fistula’s site |
|
Classifications of oronasal fistula.
Unfortunately, both of them have helped in understanding the location of the fistula apart from putting guidance for the determination of the fistula’s difficulty.
Fistulas can be managed by prosthetic appliances such as obturators, but there are inherent problems with this approach, such as a sharp increase in the oral bacteria count, with a resultant increase in the incidence of dental caries. Moreover, it could not be considered as a definitive treatment [30].
Simple fistulas are successfully managed by local palatal flaps, but the success of such a way is limited in management in the situation of more complex fistulas [31, 32].
Treatment of the large fistulas is usually complex and difficult to be achieved by traditional local flaps. Accordingly, extensive palatal surgery and dissection are recommended.
Secondary repair of oronasoantral fistula (repair of the fistula many times) is one of the more challenging and difficult problems in the field of oral and maxillofacial.
Surgical closure can be fulfilled by more than one option such as; local flap, regional intraoral and extraoral flaps as well as a free flap [33].
Repeated attempts for the fistula closure followed by failure, may end up by local tissue scarring.
Alternative methods of the traditional local flap are reported in the literature:
Tongue flap, Guerrero-Santos, and Altamirano (1966) was first described the suitability of an anteriorly based dorsal tongue flap for repair of palatal fistulae [34], it can be attempted when other methods are not feasible, now it become widely accepted for the correction of the fistula following the failure of palatoplasty especially for the fistula with large size [23, 35, 36] it is a two-staged procedure and can be anteriorly or posteriorly depending on the fistula site with high success rate for the anterior fistulas [37].
The use of decellularized dermal grafting (Alloderm) in persistent oro-nasal fistulas is also reported in the literature [38].
Other surgical techniques that have been described include free flaps, tissue expansion, interposition grafts of (bone, free periosteum, or dermis-fat) [15].
In the literature, there is more than one adjunctive therapy to improve the surgical outcome, in oronasal fistula, such as
Antibiotic therapy [39]
A resorbable collagen membrane (inter-positional barrier [40] to be an adjunct to standard surgical care, with the objective of improving the stability of the soft tissue and decreasing the incidence of new dehiscence [14].
PDS, polydioxanone sheet, is a synthetic polyether-ester, which is an unstable biodegradable polymer [41].
Plasma rich in growth factors (PRGF) mixed with autologous bone graft [42]
Topical phenytoin 2% (for promotion of healing) [43].
Oronasal fistula is one of the great challenges in an oral and maxillofacial specialty, there is no conclusive evidence have determined its actual rate and there are wide ranges for its occurrence and no agreement on which procedure is being the most superior, with the low rate of fistula formation following palatoplasty. Both old literature and the recent one could not put a consensus to unifying terminology in the context of definition and classification for further reliable diagnosis in an attempt to find a more accepted, predictable outcome for preventing its occurrence and find optimal managing of recurrent ONF in cleft palate patients.
The author would like to thank Professor Ahmed Mohamed Suliman (Professor of Oral and Maxillofacial Surgery, Faculty of dentistry, Khartoum University, Sudan, for being the first supervisor of the author in the subspeciality of cleft lip and Palate in Sudanese Medical Specialization Board, and Thanks also for Dr. Haithem Babiker MD, DMD FACS, Craniomaxillofacial surgeon, University of Cincinnati Children’s Hospital, Ohio, USA, for his permission to attached the demonstrated picture.
Introduction
Definition
Incidence
3.1Fistula occurrence and fistula recurrence
3.2According to gender
3.3According to site
3.4According to the technique
3.4.1According to the stage technique
3.4.2According to the specific techniques
Causes
Diagnosis
5.1Diagnostic criteria
5.2Symptoms of oronasal Fistula
Classification
Management of the oronasal fistula
7.1Non-surgical treatment
7.2Surgical treatment
7.2.1Techniques used for correction of fistula
Adjunctive therapy
Conclusion
CP | Cleft Palate |
ONF | Oro nasal fistula |
VPI | Velopharyngeal Insufficiency |
PRGF | Plasma rich in growth factors |
PDS | polydioxanone sheet |
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Thus, the aim of this chapter is to equip researchers, post graduate students and technicians with essential knowledge required to prepare samples for scanning electron microscopy (SEM) investigations in the life sciences.",book:{id:"5075",slug:"modern-electron-microscopy-in-physical-and-life-sciences",title:"Modern Electron Microscopy in Physical and Life Sciences",fullTitle:"Modern Electron Microscopy in Physical and Life Sciences"},signatures:"Mogana Das Murtey and Patchamuthu Ramasamy",authors:[{id:"176330",title:"Dr.",name:"Mogana",middleName:"Das",surname:"Murtey",slug:"mogana-murtey",fullName:"Mogana Murtey"},{id:"181159",title:"Mr.",name:"Patchamuthu",middleName:null,surname:"Ramasamy",slug:"patchamuthu-ramasamy",fullName:"Patchamuthu Ramasamy"}]},{id:"26791",doi:"10.5772/28067",title:"Optical Vortices in a Fiber: Mode Division Multiplexing and Multimode Self-Imaging",slug:"optical-vortices-in-a-fiber-mode-division-multiplexing-and-multimode-self-reproducing",totalDownloads:4552,totalCrossrefCites:30,totalDimensionsCites:49,abstract:null,book:{id:"2018",slug:"recent-progress-in-optical-fiber-research",title:"Recent Progress in Optical Fiber Research",fullTitle:"Recent Progress in Optical Fiber Research"},signatures:"S.N. 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An overview is prefaced, including a brief description of their beginnings and operating basics. Materials used, as well as growth methods, are also described. The possibility of developing GaN-based QCLs is also shown. Summarizing, the applications of these structures cover a broad range, including spectroscopy, free-space communication, as well as applications to near-space radar and chemical/biological detection. 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Dual-beam platforms, combining a high-resolution scanning electron microscope (HR-SEM) and an FIB column, additionally equipped with precursor-based gas injection systems (GIS), micromanipulators, and chemical analysis tools (such as energy-dispersive spectra (EDS) or wavelength-dispersive spectra (WDS)), serve as multifunctional tools for direct lithography in terms of nano-machining and nano-prototyping, while advanced specimen preparation for transmission electron microscopy (TEM) can practically be carried out with ultrahigh precision. Especially, when hard materials and material systems with hard substrates are concerned, FIB is the only technique for site-specific micro- and nanostructuring. Moreover, FIB sectioning and sampling techniques are frequently used for revealing the structural and morphological distribution of material systems with three-dimensional (3D) network at micro-/nanoscale.This book chapter includes many examples on conventional and novel processes of FIB technologies, ranging from analysis of semiconductors to electron tomography-based imaging of hard materials such as nanoporous ceramics and composites. 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In addition, the colloidal nanoparticles produced by laser ablation have very high purity—they are free from surfactants and reaction products or by-products. In this chapter, nanosecond, picosecond and femtosecond laser pulse durations are compared in laser material processing. 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Practical comparisons between various methods of analysing diffraction patterns are also described. The basic diffraction patterns and the fine structure in the patterns including specimen tilting experiments, orientation relationship determination, phase identification, twinning, second phases, crystallographic information, dislocation, preferred orientation and texture, extra spots and streaks are described in detail. 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Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. 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Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. 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He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:42,paginationItems:[{id:"82914",title:"Glance on the Critical Role of IL-23 Receptor Gene Variations in Inflammation-Induced Carcinogenesis",doi:"10.5772/intechopen.105049",signatures:"Mohammed El-Gedamy",slug:"glance-on-the-critical-role-of-il-23-receptor-gene-variations-in-inflammation-induced-carcinogenesis",totalDownloads:15,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Chemokines Updates",coverURL:"https://cdn.intechopen.com/books/images_new/11672.jpg",subseries:{id:"18",title:"Proteomics"}}},{id:"82875",title:"Lipidomics as a Tool in the Diagnosis and Clinical Therapy",doi:"10.5772/intechopen.105857",signatures:"María Elizbeth Alvarez Sánchez, Erick Nolasco Ontiveros, Rodrigo Arreola, Adriana Montserrat Espinosa González, Ana María García Bores, Roberto Eduardo López Urrutia, Ignacio Peñalosa Castro, María del Socorro Sánchez Correa and Edgar Antonio Estrella Parra",slug:"lipidomics-as-a-tool-in-the-diagnosis-and-clinical-therapy",totalDownloads:9,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11669.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82440",title:"Lipid Metabolism and Associated Molecular Signaling Events in Autoimmune Disease",doi:"10.5772/intechopen.105746",signatures:"Mohan Vanditha, Sonu Das and Mathew John",slug:"lipid-metabolism-and-associated-molecular-signaling-events-in-autoimmune-disease",totalDownloads:17,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11669.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82483",title:"Oxidative Stress in Cardiovascular Diseases",doi:"10.5772/intechopen.105891",signatures:"Laura Mourino-Alvarez, Tamara Sastre-Oliva, Nerea Corbacho-Alonso and Maria G. 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She is also the Global Harmonization Initiative (GHI)",institutionString:"Australian College of Business & Technology",institution:{name:"Kobe College",institutionURL:null,country:{name:"Japan"}}}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. 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Her research interests include microalgal biotechnology with an emphasis on microalgae-based products.",institutionString:"Universidade Federal de Santa Maria",institution:{name:"Universidade Federal de Santa Maria",institutionURL:null,country:{name:"Brazil"}}}]},{type:"book",id:"7953",title:"Bioluminescence",subtitle:"Analytical Applications and Basic Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7953.jpg",slug:"bioluminescence-analytical-applications-and-basic-biology",publishedDate:"September 25th 2019",editedByType:"Edited by",bookSignature:"Hirobumi Suzuki",hash:"3a8efa00b71abea11bf01973dc589979",volumeInSeries:4,fullTitle:"Bioluminescence - Analytical Applications and Basic Biology",editors:[{id:"185746",title:"Dr.",name:"Hirobumi",middleName:null,surname:"Suzuki",slug:"hirobumi-suzuki",fullName:"Hirobumi Suzuki",profilePictureURL:"https://mts.intechopen.com/storage/users/185746/images/system/185746.png",biography:"Dr. Hirobumi Suzuki received his Ph.D. in 1997 from Tokyo Metropolitan University, Japan, where he studied firefly phylogeny and the evolution of mating systems. He is especially interested in the genetic differentiation pattern and speciation process that correlate to the flashing pattern and mating behavior of some fireflies in Japan. He then worked for Olympus Corporation, a Japanese manufacturer of optics and imaging products, where he was involved in the development of luminescence technology and produced a bioluminescence microscope that is currently being used for gene expression analysis in chronobiology, neurobiology, and developmental biology. 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Badria",profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",institutionString:"Mansoura University",institution:{name:"Mansoura University",institutionURL:null,country:{name:"Egypt"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9659",title:"Fibroblasts",subtitle:"Advances in Inflammation, Autoimmunity and Cancer",coverURL:"https://cdn.intechopen.com/books/images_new/9659.jpg",slug:"fibroblasts-advances-in-inflammation-autoimmunity-and-cancer",publishedDate:"December 22nd 2021",editedByType:"Edited by",bookSignature:"Mojca Frank Bertoncelj and Katja Lakota",hash:"926fa6446f6befbd363fc74971a56de2",volumeInSeries:25,fullTitle:"Fibroblasts - Advances in Inflammation, Autoimmunity and Cancer",editors:[{id:"328755",title:"Ph.D.",name:"Mojca",middleName:null,surname:"Frank Bertoncelj",slug:"mojca-frank-bertoncelj",fullName:"Mojca Frank Bertoncelj",profilePictureURL:"https://mts.intechopen.com/storage/users/328755/images/system/328755.jpg",institutionString:"BioMed X Institute",institution:{name:"University Hospital of Zurich",institutionURL:null,country:{name:"Switzerland"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8977",title:"Protein Kinases",subtitle:"Promising Targets for Anticancer Drug Research",coverURL:"https://cdn.intechopen.com/books/images_new/8977.jpg",slug:"protein-kinases-promising-targets-for-anticancer-drug-research",publishedDate:"December 8th 2021",editedByType:"Edited by",bookSignature:"Rajesh Kumar Singh",hash:"6d200cc031706a565b554fdb1c478901",volumeInSeries:24,fullTitle:"Protein Kinases - Promising Targets for Anticancer Drug Research",editors:[{id:"329385",title:"Dr.",name:"Rajesh K.",middleName:"Kumar",surname:"Singh",slug:"rajesh-k.-singh",fullName:"Rajesh K. Singh",profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8018",title:"Extracellular Matrix",subtitle:"Developments and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/8018.jpg",slug:"extracellular-matrix-developments-and-therapeutics",publishedDate:"October 27th 2021",editedByType:"Edited by",bookSignature:"Rama Sashank Madhurapantula, Joseph Orgel P.R.O. and Zvi Loewy",hash:"c85e82851e80b40282ff9be99ddf2046",volumeInSeries:23,fullTitle:"Extracellular Matrix - Developments and Therapeutics",editors:[{id:"212416",title:"Dr.",name:"Rama Sashank",middleName:null,surname:"Madhurapantula",slug:"rama-sashank-madhurapantula",fullName:"Rama Sashank Madhurapantula",profilePictureURL:"https://mts.intechopen.com/storage/users/212416/images/system/212416.jpg",institutionString:"Illinois Institute of Technology",institution:{name:"Illinois Institute of Technology",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Proteomics",value:18,count:4},{group:"subseries",caption:"Metabolism",value:17,count:6},{group:"subseries",caption:"Cell and Molecular Biology",value:14,count:9},{group:"subseries",caption:"Chemical Biology",value:15,count:14}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:9},{group:"publicationYear",caption:"2021",value:2021,count:7},{group:"publicationYear",caption:"2020",value:2020,count:12},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:2}],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. 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