Ranges of frequencies of pedestrian-structure interaction according to different international standards [14].
\r\n\tAn important component of this book must be dedicated to the more recent treatments namely with biologic therapies but focusing also on new small molecule inhibitors and experimental therapies.
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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"58008",title:"Recent Advances in the Serviceability Assessment of Footbridges Under Pedestrian-Induced Vibrations",doi:"10.5772/intechopen.71888",slug:"recent-advances-in-the-serviceability-assessment-of-footbridges-under-pedestrian-induced-vibrations",body:'\nThe increase in the strength of the new structural materials together with the higher aesthetics requirements imposed by current modern society has led to the design of footbridges with greater slenderness, which may be prone to vibrate under pedestrian-induced excitations. There are three factors that characterize this engineering problem: (i) the vibration source, i.e. the pedestrian; (ii) the path, i.e. the structure; and (iii) the receiver, i.e. the pedestrian [1, 2]. In the last 20 years, after some vibratory events happened in several large-span footbridges [3, 4, 5], an intensive research activity has been conducted by the scientific community in order to better characterize the pedestrian-induced vibrations on footbridges. Concretely, these research efforts were mainly focused on two objectives: (i) the accurate definition of the vibration source [6] and (ii) the analysis of a remarkable event, the lateral lock-in phenomenon [7]. On the one hand, the determination of the load induced by pedestrians on footbridges was tackled progressively. Initially, the estimation of the force originated by a single walking or running pedestrian was studied [8, 9]. Subsequently, these results were further extrapolated to the case of a crowd moving on a footbridge [10]. On the other hand, the lateral lock-in instability phenomenon originated by the synchronization of a pedestrian flow walking on a footbridge has been widely studied as well. Based on the outcomes of these researches, different proposals to estimate the number of pedestrians that originates the lateral lock-in phenomenon, as well as limiting values of the modal properties of the structure to avoid the problem, have been provided [7].
\nAs result of all these studies, several standards [11] and design guidelines [12] were published to facilitate designers the assessment of the vibration serviceability limit state of footbridges under pedestrian action. Although these design codes shed light on this issue, they still present some shortages, so that, the dynamic response of the structure obtained numerically based on these recommendations still differs from the values recorded experimentally [13].
\nIn order to overcome these limitations, a new generation of models have been developed and proposed during the last 5 years, giving rise to a new modelling framework. Three key aspects have been additionally taken into account in order to improve the modelling of pedestrian flows and their effect on footbridges [14]: (i) the inter- and intra-subject variability of the pedestrian action, (ii) the pedestrian-structure interaction and (iii) the crowd behaviour. Furthermore, the variability of the pedestrian action is normally simulated via a probabilistic approach, considering that the parameters that characterize the crowd-structure interaction model may be defined as random variables [15]. All these proposed models share a common scheme, and the crowd-structure interaction is simulated via the linking of two sub-models [16, 17]: (i) a pedestrian-structure interaction sub-model and (ii) a crowd sub-model. For the pedestrian-structure sub-model, although different models have been proposed [18], the use of a single-degree-of-freedom (SDOF) system has gained wider popularity in the scientific community. For the crowd sub-model, two approaches have been proposed: either macroscopic or microscopic models [15]. In the first approach, the crowd behaviour is modelled based on fluid mechanics [10], whilse in the second, the position and velocity of each pedestrian follows a multi-agent law [19]. The second approach, which can account explicitly for the inter-subject variability of each pedestrian [20], has been internationally accepted as the best method to simulate numerically the behaviour of pedestrian flows [15]. The linking between the two sub-models is achieved by the implementation of several behavioural conditions [20]. In this way, if certain comfort limits are exceed by the pedestrian-structure interaction sub-model, the velocity and step frequency of each pedestrian in the crowd are modified [20, 21]. The new modelling framework, based on these crowd-structure interaction models, has been applied successfully to determine numerically the response of a footbridge under pedestrian action [15, 16, 17], to study the change of the modal parameters of real footbridges under the effect of a group of pedestrians [22] and even to analyse the lateral lock-in phenomenon on real footbridges [23].
\nNevertheless, despite all these advances, there is not currently any international design guideline which covers comprehensively all aspects of the problem, so it is a challenge for the next years to include all these research results in the design standards of such structures.
\nThe chapter is organized as follows. First, some general recommendations on how to assess the vibration serviceability limit state of footbridges under pedestrian action, according to the more recent design guidelines, are presented in Section 2. Second, the main aspects of the new modelling framework to simulate the crowd-structure interaction are presented in Section 3. As this modelling framework divides the issue in two sub-models, in Section 4, the first sub-model, the pedestrian-structure sub-model is presented and in Section 5, the second sub-model, the crowd sub-model, is described. Later, the interaction between the two sub-models is explained and implemented in Section 6. Subsequently, a case study, the comparison of the analysis of the lateral lock-in phenomenon on the Pedro e Inês footbridge using three different approaches (the experimental values recorded during the field test, the numerical estimation according to the Synpex guidelines [12] and the new modelling framework) is presented in Section 7. The study shows the potential of this new modelling framework to assess more accurately the vibration serviceability limit state of footbridges under pedestrian action. Finally, Sections 8 and 9 present the main conclusions obtained from the chapter and future research lines to be explored, respectively.
\nThe international standards for the assessment of the vibration serviceability limit state of footbridges under pedestrian action share two general rules to tackle the pedestrian-induced vibration problem [6]: (i) the establishment of the range of frequencies that characterizes the pedestrian-structure interaction (Table 1) and (ii) the treatment of the problem separately in terms of the direction in which the pedestrian action (longitudinal, lateral or vertical) is applied. However, most of these standards only establish the need to assess the dynamic behaviour of the structure, if some of its natural frequencies are within the interaction range (Table 1), but do not define a methodology to check the required comfort level.
\nStandards | \nVertical [Hz] | \nLateral [Hz] | \n
---|---|---|
LRFD American Guide (2009) | \n<3.00 | \n\n |
Eurocode 1 (2002) | \n1.60-2.40 | \n0.80–1.20 | \n
Eurocode 5 (2003) | \n<2.50 | \n0.80–1.20 | \n
DIN-Fachbericht 102 (2003) | \n1.60–2.40/3.50–4.50 | \n\n |
SIA 260 (2003) | \n1.60–4.50 | \n<1.30 | \n
BS 5400 (2006) | \n<5.00 | \n<1.50 | \n
Austroads (2012) | \n1.50–3.00 | \n\n |
Hong Kong Guide (2009) | \n1.50–2.30 | \n\n |
Ontario Guide (1995) | \n<3.00 | \n\n |
Setra (2006) | \n1.00–2.60/2.60–5.00 | \n0.30–1.30/1.30–2.50 | \n
Synpex (2007) | \n1.25–2.30/2.50–4.60 | \n0.50–1.20 | \n
EHE-08 (2008) | \n<5.00 | \n\n |
EAE (2011) | \n1.60–2.40/3.50–4.50 | \n0.60–1.20 | \n
IAP-11 (2011) | \n1.25–4.60 | \n0.50–1.20 | \n
Ranges of frequencies of pedestrian-structure interaction according to different international standards [14].
According to the authors’ opinion, the Synpex guidelines [12] are currently the most comprehensive standard to assess the vibration serviceability limit state of footbridges under pedestrian action. These guidelines [12] divide the checking of the vibration serviceability limit state in seven steps:
Evaluate, numerically, the natural frequencies of the footbridge based on a finite element model of the structure.
If some of the natural frequencies of the structure lie inside the interaction ranges (Table 1), the comfort class of the footbridge must be further checked.
Different design scenarios must be assessed: for each design scenario, the expected traffic class in terms of the pedestrian density, \n
The damping ratio of the affected vibration mode, \n
The maximum acceleration has to be evaluated for each design scenario. For this purpose, it is necessary to define a load model which may be characterized by the following equivalent harmonic loads [12]:
A pedestrian stream walking is simulated by an equivalent load:
A pedestrian jogging is simulated by a single vertical moving load:
where \n
in terms of the number of pedestrians on the deck, \n
To estimate the considered natural frequency for each design scenario, the mass of pedestrians has to be taken into account (with a medium pedestrian weight about 70 kg) when its value is greater than 5% of the modal deck mass.
The dynamic response obtained for each considered design scenario must be compared with the trigger acceleration amplitude, 0.10–0.15 m/s2, which avoids the occurrence of the lateral lock-in phenomenon.
The estimated dynamic acceleration is then compared with the specified comfort class. In case of non-compliance, the designer must adopt measures to improve the dynamic behaviour of the structure, such as for instance: (i) the modification of the mass of the deck, (ii) the modification of the natural frequencies of the structure and/or (iii) the increase of the damping [12].
Class | \nDensity | \nCharacteristics | \n
---|---|---|
TC1 | \n<15 P (P = Person) | \nVery weak traffic | \n
TC2 | \n<0.20 P/m2 | \nComfortable and free walking | \n
TC3 | \n<0.50 P/m2 | \nUnrestricted walking and significantly dense traffic | \n
TC4 | \n<1.00 P/m2 | \nUncomfortable situation and obstructed walking | \n
TC5 | \n<1.50 P/m2 | \nUnpleasant walking and very dense traffic | \n
Traffic classes [12].
Class | \nDegree | \nVertical acceleration | \nHorizontal acceleration | \n
---|---|---|---|
CL1 | \nMaximum | \n<0.50 m/s2 | \n<0.10 m/s2 | \n
CL2 | \nMedium | \n0.50–1.00 m/s2 | \n0.10–0.30 m/s2 | \n
CL3 | \nMinimum | \n1.00–2.50 m/s2 | \n0.30–0.80 m/s2 | \n
CL4 | \nDiscomfort | \n>2.50 m/s2 | \n>0.80 m/s2 | \n
Defined comfort classes with limit acceleration ranges [12].
Pedestrian reduction coefficient,
In spite of the fact that the Synpex design guidelines [12] were an important breakthrough, they still present several limitations, which originate that the numerical prediction of the dynamic response of footbridges, obtained using them, under- or over-estimates the values recorded experimentally. As main limitations, the following ones may be enumerated: (i) the change of the dynamic properties of the structure, due to the presence of pedestrians, is estimated in a simplified form, adding directly the pedestrian mass to the structural mass without considering any additional effect on the remaining modal parameters of the structure, (ii) the proposed methods do not fit well to the case where several vibration modes of the footbridge are affected by the pedestrian-induced excitations, (iii) the effect of the non-synchronized pedestrians are not taken into account by these recommendations and (iv) the definition of the pedestrian load is performed under a deterministic approach which does not allow considering the inter- and intra-subject variability of the pedestrian action. In order to overcome these limitations, a new generation of models that configure a new modelling framework has been proposed. A brief description of this new modelling framework is included in the next section.
\nThe most recent research on this topic proposes and further implements several crowd-structure interaction models to better characterize the dynamic response of footbridges under pedestrian action [14, 15, 16, 17]. All these models, which share a common scheme, constitute a new modelling framework for this engineering problem. According to this new approach, the crowd-structure interaction is simulated by linking two individual sub-models (Figure 2): (i) a pedestrian-structure interaction sub-model and (ii) a crowd sub-model.
\nLayout of the new modelling framework.
In the first sub-model, although there are several proposals [18, 22, 24, 25] to simulate the pedestrian action (single-degree-of-freedom (SDOF) system, multiple degrees of freedom (MDOF) system and inverted pendulum (IP) system), the most widely adopted alternative is to model the pedestrian either as a SDOF system in vertical direction [18] or as a IP system in lateral direction [20, 24], while the structure is characterized via its modal parameters [22, 26]. All the pedestrian-structure interaction models based on the use of a SDOF system share a common formulation to solve the pedestrian-structure interaction [22, 26] but, however, they differ in the values adopted to characterize the modal parameters of the SDOF systems. A wide summary of the pedestrian-structure interaction models proposed by different authors can be found in Ref. [18]. The main output obtained from this sub-model is usually the acceleration experienced by each pedestrian.
\nIn the second sub-model, the crowd is usually simulated via a behavioural model [19] that provides a description of the individual pedestrian position, \n
The linking between the two sub-models is usually achieved in the different proposals by taking into account the modification of the pedestrian behaviour in terms of the vibration level that he/she experiences [15, 17, 20, 21, 22, 23, 24]. Two additional conditions are commonly included for this purpose: (i) a retardation factor, which reduces the pedestrian velocity in terms of the accelerations experienced by each pedestrian; and (ii) a lateral lock-in threshold, which allows simulating the synchronization among the pedestrians and the structure by the modification of both their step frequencies and the phases [20, 21, 22, 23]. This new approach has only been implemented, to the best of the authors’ knowledge, in vertical and lateral direction, since there are few reported cases of pedestrian-induced vibration problems in longitudinal direction. In order to illustrate briefly this new modelling framework, one of the most recent crowd-structure interaction models, which has been proposed by the authors, is described in the next sections [23]. Subsequently, the potential of the approach to accurately assess the vibration serviceability limit state of footbridges under pedestrian action is illustrated via its implementation for the analysis of a case study. For clarity, the model is described here only for the lateral direction, although it may be easily generalized to the vertical direction [14].
\nThe pedestrian-structure interaction model may follow from the application of dynamic equilibrium equations between a SDOF-system (Figure 3a) and the footbridge (Figure 3b). The pedestrian mass is divided into sprung, \n
Biomechanical pedestrian-structure interaction model in lateral direction [
As result of this dynamic equilibrium, the following coupled equation system may be obtained [22]:
\nwhere \n
The numerical vibration modes, \n
where \n
Thus, \n
and substituting this equation into the equilibrium equation of the structure:
\nApplying, at the contact point, the equations of compatibility of displacements, \n
where \n
It is assumed that the lateral displacement of the footbridge may be decomposed in terms of the amplitude \n
In this manner, the pedestrian-structure interaction model may be represented by a system with \n
The lateral ground reaction force, \n
where \n
According to this formulation, the deterministic or stochastic character of the pedestrian-structure interaction sub-model can be considered depending on the way in which the parameters of the model are defined. If a fixed value is assigned to the parameters, the sub-model will be deterministic; however, if the parameters are defined as random variables, the sub-model will be stochastic.
\nFinally, Table 4 shows the values reported in Ref. [14] for the characterization of the pedestrian-structure interaction model. Additionally, a wide summary of the parameters proposed by other researchers can be found in Ref. [18]. These values (Table 4) allow defining the pedestrian-structure interaction model in either a deterministic form (considering the average values) or a stochastic form (considering the probabilistic distribution), depending on the purpose of the case under study.
\n\n | Pedestrian modal parameters | \n|
---|---|---|
Lateral | \n||
Pedestrian total mass | \n\n\n | \n\n\n | \n
Pedestrian sprung mass | \n\n\n | \n\n\n | \n
Pedestrian damping ratio | \n\n\n | \n\n\n | \n
Pedestrian natural frequency | \n\n\n | \n|
\n | ||
First harmonic | \n\n\n | \n\n\n | \n
Second harmonic | \n\n\n | \n\n\n | \n
Third harmonic | \n\n\n | \n\n\n | \n
First phase shift | \n\n\n | \n0° | \n
Second phase shift | \n\n\n | \n0° | \n
Third phase shift | \n\n\n | \n0° | \n
The pedestrian moving inside a crowd may be modelled using either a macroscopic [10] or a microscopic model [15]. The second option is currently the most utilized and it has been successfully implemented by several authors [15, 19, 20, 21, 22]. According to this approach, the movement of each pedestrian is governed by the dynamic balance among particles [14]. This model assumes that the different motivations and influences experimented by the pedestrians are described by different social forces [19]. The model is based on Newton dynamics and is able to represent the following rules in relation with the natural pedestrian movement (see Ref. [19] for a more detailed description): (i) the fastest route is usually chosen by pedestrians, (ii) the individual speed of each pedestrian follows a probabilistic distribution function and (iii) the distance among pedestrians in a crowd depends on the pedestrian density, the spatial configuration of the crowd and the pedestrian speed. As an example, the different social forces acting between two pedestrians in a crowd are illustrated in Figure 4.
\nBiomechanical pedestrian-structure interaction model [
In this manner, the multi-agent model that simulates the behaviour of the crowd consists of the sum of three partial forces: (i) the driving force, \n
Each pedestrian has a certain motivation to reach his/her desired destination [19], \n
where \n
The interaction among pedestrians originates a repulsive force [19], \n
The socio-psychological force reflects the fact that the pedestrians try to maintain a certain distance to other pedestrians in the crowd. This socio-psychological force depends on the distance between pedestrians, reaching its maximum value at the initial distance between two pedestrians, \n
where \n
being, \n
In situations of physical contact among pedestrians (\n
being \n
The interaction with the boundaries gives rise to forces, \n
being \n
All the parameters for the considered crowd sub-model, based on the social force model, may be obtained from the results provided by different authors [19, 20] as summarized in Table 5.
\nParameter | \nElement | \nValue | \n
---|---|---|
Relaxation time | \n\n\n | \n0.50 sec. | \n
Interaction strength pedestrians | \n\n\n | \n2000 N | \n
Interaction range pedestrians | \n\n\n | \n0.30 m | \n
Potential factor | \n\n\n | \n0.20 | \n
Contact strength pedestrians | \n\n\n | \n2000 N | \n
Sliding strength pedestrians | \n\n\n | \n4800 N | \n
Interaction strength boundaries | \n\n\n | \n5100 N | \n
Interaction range boundaries | \n\n\n | \n0.50 m | \n
Contact strength boundaries | \n\n\n | \n2000 N | \n
Sliding strength boundaries | \n\n\n | \n4800 N | \n
Radius of pedestrian | \n\n\n | \n0.20 m | \n
The simulation of a pedestrian flow requires the determination of four parameters: (i) the pedestrian density, \n
First, the pedestrian density, \n
Subsequently, the initial phase shift among pedestrians, \n
The acceleration vector, \n
Finally, the evaluation of the remaining variables that govern the crowd model, \n
The crowd-structure interaction is usually modelled including additional behavioural conditions [20, 21, 22]. Concretely, two requirements have been included in this proposal: (i) a comfort and (ii) a lateral lock-in threshold [14, 20].
\nFirst, a comfort condition is usually included in the crowd-structure interaction model to take into account the modification of the behaviour of each pedestrian due to the change of his/her comfort level. For this purpose, a retardation factor has been applied to the pedestrian velocity. A minimum comfort threshold 0.20 m/s2 is selected following the results provided by several researches [20, 28]. In this manner, if the lateral acceleration of each pedestrian, \n
On the other hand, a maximum lateral limit acceleration, \n
Finally, as lateral lock-in threshold, the criterion suggested by the French standard [11] is usually adopted to simulate the synchronization phenomenon between the movement of the crowd and the footbridge. For this purpose, both the step frequency, \n
In order to illustrate the potential of this new modelling framework, the analysis of the lateral lock-in phenomenon on a real footbridge, the Pedro e Inês footbridge (Coimbra Portugal) has been performed [23]. The maximum lateral accelerations at the mid-span of the footbridge obtained via three different methods during a lateral lock-in pedestrian test are correlated. The three method used are: (i) the experimental values recorded during a lateral lock-in pedestrian test reported in Ref. [31], (ii) the numerical estimation of the maximum lateral acceleration obtained according to the Synpex guidelines [12] and (iii) the numerical prediction obtained based on the application of the proposed approach [23]. On an updated finite element model of the structure [32].
\nThe footbridge is situated over the Mondego River at Coimbra (Portugal). The structure is configured by five spans (total length of 274.5 m); a central arch of 110 m, two lateral semi-arches of 64 m and two transition spans of 30.5 and 6 m, respectively (Figure 5). The deck is configured by a concrete-steel composite box-girder with a variable width between 4 and 8 m. The footbridge presents an anti-symmetrical configuration with respect to the longitudinal axis of the structure. In this way, the intersection of the two parallel decks generates a panoramic square at mid-span of the footbridge (Figure 5). As result of the numerical studies performed during the design phase, it was checked that the structure was prone to pedestrian-induced vibrations in lateral direction. Experimental tests were conducted to assess the dynamic response of the footbridge under pedestrian action in lateral direction. The main outcomes of this experimental work were reported in Ref. [31]. These results have been employed in this chapter to illustrate the potential of the new modelling framework. As the pedestrian is forced to walk in a controlled manner during the lateral lock-in pedestrian test, the crowd-structure model previously described has been applied under the deterministic approach.
\nScheme of the lateral lock-in pedestrian test on Pedro e Inês footbridge [
The natural frequency (around 0.91 Hz) and associated damping ratio (approximately 0.55%) of the first lateral vibration mode of the footbridge were identified experimentally. As the natural frequency of this vibration mode is within the range that characterizes the pedestrian-structure interaction in lateral direction, a lateral lock-in pedestrian test was conducted to determine experimentally the number of pedestrians that originates the lateral instability phenomenon [31]. The analysis focused on characterizing the beginning of the lateral lock-in phenomenon, since during this part of the phenomenon, the modification of the modal properties of the structure induced by the pedestrian-structure interaction is higher [3]. The lateral acceleration, \n
Experimental and numerical variation of the maximum lateral acceleration,
Subsequently, a numerical lateral lock-in test based on the proposed approach was performed. Each considered group of pedestrians has been simulated considering as initial spatial distribution, a rectangular-shaped grid with an initial distance among pedestrians \n
As result of this numerical analysis, the maximum lateral acceleration at mid-span of the structure in terms of the different groups of pedestrians on the footbridge was obtained. The graphical representation of this relationship is shown in Figure 6. A good agreement is achieved between the experimental lateral maximum accelerations and the numerically estimated maximum values, as it is illustrated in Figure 6. Additionally, the estimation of the numerical maximum acceleration obtained, applying the methodology proposed by the Synpex guidelines [12], is also shown in Figure 6. It is clear from Figure 6 that the new modelling framework allows obtaining a more accurate numerical analysis of the lateral lock-in phenomenon than these design guidelines. The lateral lock-in criterion established by the Synpex guidelines [12] is also illustrated for reference in Figure 6.
\nThe assessment of the vibration serviceability limit state of footbridges under pedestrian-induced excitation has usually been performed based on the recommendations of the most advanced international standards and design guidelines. However, the numerical estimation of the dynamic response of footbridges obtained according to these codes differs from the value recorded experimentally.
\nIn order to overcome this problem, a new generation of crowd-structure interaction models, that constitute a new modelling framework, has been proposed by the scientific community. All these models share, as common characteristic, that they simulate the crowd-structure interaction phenomenon using two sub-models: (i) a pedestrian-structure interaction sub-model and (ii) a crowd sub-model. For the first sub-model, the pedestrian is modelled by a SDOF, MDOF or IP system and the structure via its modal parameters obtained from a finite element model. For the second sub-model, the last tendency is to use a multi-agent method based on the principles of the social force model. The linking between the two sub-models is achieved by the inclusion of several behavioural conditions in the model. Comfort and lateral lock-in threshold are usually considered. Three key aspects are taken into account for this new modelling framework: (i) the inter-and intra-subject variability, (ii) the pedestrian-structure interaction and (iii) the crowd dynamics. The last two aspects are guaranteed by the own formulation of the model, and the first is ensured assuming that the different parameters of the crowd-structure interaction model are random variables.
\nOne of these new crowd-structure interaction models has been described briefly in this chapter, emphasizing the section corresponding to the crowd behaviour.
\nFinally, the potential of this new modelling framework has been illustrated with a case study, the analysis of the lateral lock-in phenomenon of the Pedro e Inês footbridge (Coimbra, Portugal). As result of this study, a good agreement is achieved between the number of pedestrians which originates the lateral instability phenomenon obtained during the experimental test and the numerical estimation determined via the crowd-structure interaction model.
\nAlthough the use of the crowd-structure interaction model allows improving the estimation of the response of footbridges under pedestrian flows, further studies are being conducted in order to better characterize some aspects of these models. Among others, the following research lines may be cited:
The crowd-structure interaction model might be generalized to longitudinal direction via the estimation of the parameters of the SDOF-system in that direction.
In order to better characterize the inter- and intra-subject variability, the statistical distributions that characterize the parameters of the pedestrian-structure interaction model should be improved via the analysis of the behaviour of other groups of pedestrians on different types of footbridges.
The relationship between the parameters of the pedestrian-structure interaction model and the step frequency of the pedestrian should be further analysed.
The parameters of the crowd sub-model, normally based on the results of researches of general purpose, should be estimated concretely for the case of pedestrians moving on footbridges, to improve still more the accuracy of the crowd-structure interaction model.
This new modelling framework allows establishing the comfort requirements directly in terms of the maximum accelerations experienced by the pedestrians (instead of the maximum accelerations reached by the deck of the footbridge). A new research line can be opened to establish more accurate thresholds which allow characterizing the vibration serviceability limit state better [14].
This work was supported by the Ministerio de Economía y Competitividad of Spain and the European Regional Development Fund under project DPI2014-53947-R.
\nHeavy metals (HM) represent a group of metallic elements and metalloids characterized by a relatively density higher than 5 g/cm3, an atomic number greater than 20 and with properties like conductance of heat, current and luster surface [1, 2, 3].
Pollution or contamination of the environment with heavy metals is a major concern, due to their capacity to bioaccumulate and persistence in the environment, non-biodegradable nature, contaminate the food chains and their toxicity on the environment and living organisms (humans, animals and plants) [1, 2, 3]. Heavy metal toxicity is a concern of ecological, nutritional, evolutionary and environmental reasons [1].
Heavy metals are among the most investigated pollutants and received a higher attention by researchers, because of their toxicity [2, 4]. These elements are naturally present in the environment, but on which modern industrialization and urbanization, anthropogenic activities and use of fertilizers, led to increased levels of these metals in the environment and implicitly to a high exposure of living things to them [2, 5]. Among the heavy metals and the most toxic metalloids are chromium, mercury, arsenic, cadmium, lead, nickel, copper, zinc, but the most common heavy metals in the environment are chromium, manganese, nickel, lead, cadmium, copper and zinc [2].
Regarding their functions in biological systems, heavy metals can be essential and nonessential. The nonessential heavy metals do not possess biological functions in living organisms, being non-essential to metabolic system, both for plants and animals. Their category includes lead, cadmium, mercury, aluminum and arsenic [2, 6, 7], being able to exert toxic effects even at low concentrations [8]. The essential heavy metals are elements, which are indispensable for plant and animals, which play a vital role in biological processes and entire metabolism and may be required in living organism in different concentrations [2, 8]. These heavy metals are considered as trace elements because of their presence in trace concentrations (less than 10 ppm) in different environmental matrices [9]. The essentiality and toxicity of the trace metals depending on the dose of exposure [10]. This category includes 19 elements, among which the most important are manganese, iron, copper, zinc, nickel and chromium [2].
Trace elements or trace minerals are minerals necessary for the body, but in amounts between 1 and 100 mg/day for adults and represents less than 0.01–0.02% of the total body weight [10, 11, 12]. When they exceed these threshold concentrations, they become dangerous to the health of living organisms [1].
According to WHO classification, trace elements can be divided into three groups, such as essential elements (zinc, iodine, molybdenum, copper, selenium, chromium), probably essential elements (manganese, silicon, boron, vanadium, nickel) and potentially toxic elements (lead, cadmium, fluorine, mercury, aluminum, arsenic, barium, lithium, tin [13, 14].
Another classification of the trace elements was made by Frieden in 1981, based on their levels in biological tissues, being divided into 3 groups, namely essential trace elements (boron, cobalt, copper, iodine, manganese, molybdenum, zinc), probably essential trace elements (chromium, fluorine, nickel, selenium, vanadium) and physically promotive trace elements (bromine, lithium, silicone, tin) [13, 15].
The present chapter presents the characteristics of heavy metals, the main sources of heavy metal contamination of the environment, as well as human exposure sources. The impact of their toxicity on various environmental segments, such as water, air, soil, as well as on living organisms, animals, but especially humans, has also been described.
Heavy metals contamination of environment can come both from natural sources and from anthropogenic processes. Natural emissions of heavy metals include volcanic eruptions, rock weathering, sea-salt sprays, forest fires, biogenic sources, wind-borne soil particles and can be found in the nature as oxides, hydroxides, silicates, sulphates, sulphides, phosphates, organic compounds [4].
Anthropogenic processes which can release heavy metals in different environmental compartments, are industries, agriculture (insecticides, pesticides which can release As), fossil fuels combustion (Ni, V, Hg, Se, Sn), wastewater, mining, smelting (As, Cu, Zn), corrosion, metallurgical processes, residual organic matter, transportation (Pb) [4, 7, 16].
Heavy metals can produce side effects on soil, on water, on air, but also on plants, animals and humans [3, 4, 17]. In soil, high levels of heavy metals can produce alteration of soil quality through modification of pH, color, porosity and natural composition [4, 18], but also low crop production, loss of many types of normal flora and habitat [19]. Their accumulation into the water imposes serious problems on humans and ecosystems [4], due to decreasing of drinking water quality and purity, decreasing water supplies for all living organisms [19]. High levels of heavy metals in air can lead to harmful health problems, including respiratory infections, cardiovascular disease, premature mortality, eyes and skin irritation, but also can cause infrastructure deterioration, acid rain increasing, corrosion, eutrophication and haze [4], low yields of the crop, not enough oxygen [19]. In plants, they can produce damage of roots or leaves, interfere in important biochemical process, such as photosynthesis, alteration of minerals absorption, damage of chlorophyll, reduce the growth and development of the roots, which leading to reduction pf overall growth of the plant [3, 20, 21].
The toxicity of heavy metals in animal is manifested through decreased body weight, kidney damage, liver affections, shortened life span, increased oxidative stress, modifications of cells composition, DNA damage [17]. In humans they can produce kidney damage, liver affections, pulmonary effects, several types of cancer [3].
Heavy metals became toxic when are not metabolized by the body and accumulates in organs and soft tissues [4]. They reach the human body by ingesting contaminated water or food, inhalation of absorption through the skin. Among the pathways, ingestion in the common route that helps the heavy metals to enter to the animal bodies [3, 4]. The effect of this metals can be inhibitory, stimulatory and toxic for some biochemical processes [3], being able to produce various health problems on nervous system (Alzheimer, Parkinsoma, depression, dementia), on bone system (bone mineralization) an on reproductive system. Also, can produce DNA damage, RNA affection, or cancer of lungs, skin, bladder, due to production of ROS [3]. Their toxicity depends the dose of exposure, time of exposure, pollutant concentration, organism which are exposed to it, nature and oxidation state of the metal [3, 4].
Lead is the most important toxic heavy metal in the environment because can cause serious environmental contamination and health problems [1, 10]. The main sources of environmental contamination including industrial processes, such as fossil fuel burning, mining, smelting, manufacturing, recycling activities. It is also used for leaded pipes, lead-glazed or lead-soldered containers, leaded paint, leaded gasoline, leaded aviation fuel [10, 22].
The inorganic lead can enter into the human body by inhalation (pulmonary absorption) of contaminated air or by smoking (15%), or by ingestion (gastrointestinal absorption) of food (65%) and water (20%) [1, 3, 22, 23]. Although organic compounds are absorbed through skin, inorganic compounds cannot be absorbed [10].
According to the WHO guidelines, the international level of concern of poisoning with lead is 25 μg/dl of blood for adults and for children, it must be less than 5 μg/dl of blood [23]. Their absorption is influenced by the age and physiological status of the exposed person [22].
However, the nervous system is most affected by exposure to high concentrations of lead, in both children and adults. Because children absorb 4–5 times more ingested lead, it can cause impaired neurobehavioral development, learning disabilities, speech and language handicaps, poor attention span, lower IQ, diminished intelligence, anti-social behavior [10, 22]. At high concentration, lead can produce coma, convulsions and even death on children and may be left with mental retardation and behavioral disorders [10]. In adults it can be manifested headache, poor attention, irritability, loss of memory, dullness [9, 22]. Increased absorption rate was observed when other nutrients such as calcium or iron are lacking. Even at lower concentrations, known as safe levels, children face learning or behavioral problems, decreased intelligence in children [10]. Although it mainly affects the nervous system, the largest amount of lead is found in the kidneys [9, 22].
Research has shown that this heavy metal can cross the placental barrier in pregnant women who have high levels of it in the blood, causing fetal abnormalities such as low IQ level, encephalopathy, neurological disorders, disruption of calcium levels in nerve cells [3]. Pregnant women exposed to lead, can manifest miscarriage, premature birth, reduced birth weight, stillbirth [10, 22].
After absorption, 99% of lead is bound to the hemoglobin, being circulated through the vascular system to soft tissues, bones, liver, kidneys (organs of lead excretion), hair [3, 10, 19], being stored especially in teeth and bones (where in incorporated into the mineral in place of calcium) [10, 22]. The stored Pb can be reintroduced into the bloodstream, especially during pregnancy, exposing the fetus [10].
Lead can produce lungs disorders, reduced pulmonary function, anemia, liver damage, cardiovascular dysfunction, renal impairment, immunotoxicity, disturbance of the balance free radicals-antioxidant system, cognitive impairments [1, 5, 10, 17]. Anemia occurs as a result of the interaction that this metal has with the important enzymes involved in the synthesis of hemoglobin, enzymes that are responsible and transport oxygen. Thus, by retardation of these enzymes, the hemoglobin concentration is reduced [3]. At high concentration, it can produce high risk of hypertension, gastrointestinal disorders, Alzheimer’s disease, kidneys damage, interfere in vitamin D metabolism and thyrotoxicity, by affecting the normal function of thyroid gland, [3, 19, 22].
In people with high levels of lead in the blood, there was an impairment of sexual function, manifested by decreased libido, decreased sperm count and their mobility, changes in sperm composition [3, 22].
Also, this metal can cause changes at cellular level, such as decreased cell viability, cell distortion, reduced cohesion, lipid peroxidation, damage of protein folding, stop structural protein synthesis, intra- and inter-cellular signaling, apoptosis, ionic transportation, especially of calcium, cell adhesion, release of neurotransmitters, inhibiting enzymes activity, inhibits mineral absorption, affecting the activities of mitochondria and endoplasmic reticulum, decreases level of glutathione, generation of reactive oxygen species or reducing antioxidants [1, 3, 17, 22]. Lead has ability to inhibit or mimic the activity of calcium and perturbs their intracellular cycling, may interfere with proteins, can be bound to biological molecules and interfering with their function by various mechanisms [22].
Studies demonstrated that lead can produce genetic damage by mechanisms which include inhibition of DNA synthesis and repair, oxidative damage, being considered by the International Agency for Research on Cancer (IARC) as a probable human carcinogen [22].
Studies performed on animal models have shown altered homeostasis, induced kidney damage, decreases of antioxidant levels, decreased body weight, shortened life span, increases of total protein, albumin, histamine, creatinine, decreased red blood cells count [5, 17].
Cadmium is an industrial compound, used in plastic industry, for obtaining plastic stabilizer, but also for production of color pigments, alloys (being a by-product of zinc production), glass production, electroplating industries, welders, rechargeable batteries (about three-fourths of cadmium production). Others important sources include emissions from industrial activities, such as mining or smelting [1, 5, 9, 19, 22, 24].
Exposure to cadmium is achieved by ingestion of food or water, inhalation of contaminated dust, especially for employers which work in primary metal industries or in cadmium-contaminated places, or by smoking cigarettes [3, 5, 10, 19, 22]. Because this metal could not penetrate the skin barrier, dermal exposure not represent a health concern [10].
The main way of exposure for smokers is the smoking, while, for non-smokers, the primary source of exposure is food, such as peanuts, crustaceans and mollusks, leafy vegetables, sunflower seeds, cocoa powder, rice, grains, soybeans, mushrooms, potatoes [3, 10, 22, 25]. Biomonitoring studies have shown that in the case of cigarette smokers, blood and urine levels were generally high, moderate in former smokers and in non-smokers they were reduced [22]. This is related the capacity of this metal to accumulate in high concentrations in tabaco leaves [5, 26]. Their toxicity depends both, the dose of exposure and the exposure time [3]. The percentage of cadmium, absorbed after ingestion is 5–10%, but in diets with a low intake of iron, calcium or protein, the percentage absorbed is higher [10].
In case of occupational workers, in industries which uses this metal, inhalation is the primary way of exposure, so that a percentage of 5–35% of inhaled cadmium is absorbed into the blood, depending the form, particle size, or site of deposition. If this metal reaches the level of the alveoli, its absorption into the blood could be 100% [10]. Their chronic exposure has been associated with changes in pulmonary function, emphysema, decreases in olfactory function [22].
The most toxic form is divalent cadmium ion (Cd2+), which is the most common form and may disturb the basic cellular functions and can cause various side effects [3, 22]. This element can cause side effects even at low concentrations, due to its low excretion rate [17, 27].
Also, it has the capability to replace iron and copper in different cytoplasmic and membrane proteins, and these unbounded substituted metals participate in oxidative stress processes, due to their increased levels [17].
When it binds to cysteine-rich proteins, its concentration inside the body increases 3000 times, forming compounds, such as metallothionein, which can produce hepatotoxicity, nephrotoxicity [1, 3]. If attached to compounds such as histidine, glutamate or cysteine, it can cause iron deficiencies. As a result of exposure, the immune system and endocrine system is affected, even at a young age [3].
Studies have shown that women have higher levels of cadmium than men, and pregnant women have more levels than non-pregnant women. Cadmium does not cross the placental barrier, and remains trapped in it, preventing it from affecting the prenatal exposure of the fetus [3].
The target organs for cadmium are the liver, bones, vascular system, nerve tissues, but especially the kidneys, leading to their damage or malfunction [3, 17, 19, 28]. As their concentration inside the kidneys increases, the rate of calcium excretion from the body is high, which means an increased risk of kidney stones [3, 17, 29]. Also, its renal excretion causes damage to the renal tubules and tubular disfunction by promoting oxidative stress in proximal tubular cells [3, 17].
In case of acute ingestion, symptoms such as vomiting, vertigo, abdominal pain, burning sensation, muscle cramps, shock, loss of consciousness, nausea, convulsions appear in 15–30 min. Because this heavy metal is a severe pulmonary and gastrointestinal irritant, erosion of the intestinal tract, diseases of pulmonary, hepatic or renal or coma could appear, depending the route of poisoning [22].
The exposure to low levels, may affect the prostatic lipid metabolism and the increasing of the fatty acids used to synthesis of phospholipids, with effects on the composition and functions of the plasma membrane [3].
High levels of cadmium in the blood cause a decrease in bone density, especially in pregnant women. Also, it can produce Itai-itai bone disease, which is characterized by painful degenerative bone disease (such as osteomalacia and osteoporosis), renal tubular abnormalities, calcium and phosphate excretion, lung cancer [5, 10, 30].
Chronic exposure can cause effects such as anemia, emphysema, osteoporosis, renal disorders, anosmia, chronic rhinitis, but also have a depressant effect, by changing the levels of serotonin, norepinephrine or acetylcholine [3, 22].
By accumulating in the pancreas and blood, the both exocrine and endocrine function of the pancreas is affected, resulting in a reduction in serum insulin. It may also affect the pancreas to resisting the secretion of insulin, and producing diabetes type 2. Research has shown that it can affect adipose tissue and can lead to obesity. Research has shown that exposure to this element can alter the balance of pituitary hormones. On reproductive system, Cd can affect the synthesis of testosterone and progesterone, spontaneous abortion, low birth weight, changes and apoptosis of germ cells, reducing of semen quality, damage of DNA of sperm cells, apoptosis of Sertoli cells [3].
Long term exposure to cell, it could transform normal cell into malignant cells. Because it contributes to the development of certain types of cancer, such as lung, prostate, pancreatic or kidney cancer, especially in case of occupational exposure, it has been classified as no. 1 human carcinogen by the International Agency for Research on Cancer USA [3, 5, 17, 22, 31]. Rodent studies have demonstrated the capacity of this metal to causes pulmonary adenocarcinomas or prostatic proliferative lesions, leading to adenocarcinomas [22].
At the cellular level, Cd disrupts the respiratory chain of the mitochondria, involved in transport across cell membranes and cell damage through production of reactive oxygen species (ROS), blocking calcium channels, hinders sulfhydryl enzymes, interacts with some cell ligands, promote lipid peroxidation and protein carbonylation. It also affects oxidative phosphorylation pathways, mitochondrial genes involved in cell apoptosis, reducing the ATP level and the energy production. This heavy metal affects the activity of some antioxidant enzymes, such as glutathione reductase, catalase, glutathione peroxidase. Also, cadmium could interact with DNA and may reduce its binding capacity or repair, DNA damage or disruption of synthesis of nucleic acid or proteins [3, 17, 22, 24].
Animal studies have shown that it can produce disorders in the metabolism of zinc, copper and calcium, being able to decrease their absorption and resulting in low dietary intake [5, 32, 33]. The hepatotoxicity and nephrotoxicity of Cd was also observed, after administration of certain doses of cadmium [5, 33]. At cellular level, changes in cell-cell adhesion, autophagic response, changes in cellular signaling pathways, cell death [5], mitochondrial swelling, decrease in antioxidant levels, increases in urinary proteins, more vacuoles and lysosomes in proximal tubule cells were observed [17].
Arsenic is one of the most important heavy metals, with property of a semi metallic, is found in nature in the form of metalloid (As0) inorganic and organic form, and arsine (AsH3) [1, 17, 22, 34]. The main inorganic forms include the trivalent form, arsenite (As3+), and the pentavalent form, arsenate (As5+). Among the organic compounds of arsenic are the methylated metabolites, such as monomethylarsonic acid (MMA), dimethylarsinic acid (DMA) and trimethylarsine oxide [9, 22]. Inorganic arsenic compounds, found in water is more toxic than organic compounds, found in seafood, which is less harmful [1, 10, 17, 23, 35]. Studies demonstrated thar trivalent arsenite is 2–10 times more toxic than pentavalent arsenate [22]. The order of increasing toxicity of arsenic compounds is the following, organic arsenicals < metalloid (As0) < inorganic forms (As5+ < As3+) < arsine [5, 36, 37].
Arsenite, which is prevalent and more mobile, has the capability to bind to thiol or sulfhydryl groups of proteins and inactivate more than 200 enzymes, with effects on different organ systems, but also to inhibits the uptake of glucose into cells, fatty acid oxidation, production of acetyl coenzyme A, gluconeogenesis, synthesis of glutathione reductase and thioredoxin reductase. Arsenate can replace phosphate, involved in biological processes, including the transport system [3, 17, 22, 23, 38]. Environmental pollution with this heavy metal, occur as a result of volcanic eruptions, soil erosion or some anthropogenic activities [9, 22]. It is used to obtain industrially products, such as, insecticides, herbicides, fungicides, algicides, smelting, mining, sheep dips, ceramics and glass making, wood preservatives, refining of metallic ores, paints, dye stuffs or for some medicinal treatments for syphilis, yaws, amoebic dysentery, trypanosomiasis [1, 22].
The exposure to elevated levels of inorganic arsenic occurs through ingestion (oral route) of food and water contaminated, inhalation of smoking tobacco, dust or burning smoke from arsenic-treated wood, working in a place where this metal is made or used, dermal contact and parenteral route [5, 10, 22]. Diet, and especially water, is the most important source of exposure, with an intake of about 12–50 μg/day, but the dietary requirement has been suggested to be between 12 and 25 12–50 μg/day [22, 23, 39]. Food sources of arsenic are seafood, poultry, grains (especially rice), bread, cereal products, mushrooms, dairy products [23, 40].
Exposure from air and soil is much smaller, but in areas with a high contamination, the intake through these ways may become significant [22]. Inorganic and organic compounds leave the body through renal excretion. Most of inorganic compounds are eliminated within several days, but some will remain stored for several months or even longer. Organic compounds are eliminated by the body much faster than inorganic arsenic, so most of them will leave the body in a few days [10]. After the absorption in the body, the target organs are lungs, spleen, kidneys, liver, but also, hair, skin and nails, but the last three for long-term accumulation [5].
Researcher showed a strong association between arsenic exposure and increased risks of carcinogenic and systemic health effects, including cardiovascular, dermatologic, nervous, hepatobiliary, renal, gastrointestinal and respiratory diseases [3, 9, 22]. So, in the case of poisoning, the symptoms manifested are abdominal pain, hemolysis, keratosis and hyperkeratosis, edema, gangrene and finally skin cancer [3, 23, 35]. The severity of symptoms varies depending upon the oxidation state and chemical species of arsenic, the solubility, frequency and exposure time, exposure dose, individual susceptibilities, age, gender, genetic and nutritional factors of exposed person [3, 9, 22].
It has been observed that in the case of persons exposed to high concentrations, symptoms such as developmental abnormalities, diabetes, cardiovascular and peripheral vascular disease, pulmonary disease, hearing loss, liver fibrosis, cirrhosis, melanosis, hematologic disorders (anemia, leukopenia, eosinophilia), neurologic and neurobehavioral disorders and different carcinoma have occurred [1, 9, 17, 22, 41, 42].
Long term exposure influences the promotion of carcinogenesis in various tissues or organs, so in areas with higher pollution, was observed a higher mortality rate for different types of cancers, such as kidney, skin, liver, lungs and bladder [3, 9, 10, 22]. For this reason, arsenic and arsenic compounds has been classified as carcinogenic to humans by International Agency for Research on Cancer (IARC) [3, 10]. Also, symptoms like, pigmentation changes, skin lesions, hyperkeratosis, was observed, which may be a precursor to skin cancer. Even at low concentration for a long time, it could change the color of the skin [1, 10]. Chronic arsenic toxicity is termed arsenicosis [1].
At lower concentration, for shorter exposure, arsenic and its compounds may cause nausea and vomiting, reduced production of erythrocytes and leukocytes, abnormal heart beat, damage of blood vessels [1].
This heavy metal could cross the placenta, particularly during early gestation, and affect the fetus, leading to adverse pregnancy outcomes, such as spontaneous abortion, stillbirth, preterm birth, low birth weight), higher infant mortality [5, 10, 43]. Numerous studies demonstrated that in utero or in childhood exposure to this metal, can lead to increases mortality in young adults due to multiple cancers, cardiovascular diseases, kidney failure, lung damage [10, 44], but also negative impact on cognitive developments, intelligence and memory [10, 45].
Their genotoxicity was demonstrated through its capacity to inhibit DNA repair, induce some chromosomal anomalies and DNA damage, sister-chromatid exchanges, arrest cells in mitosis, induce expression of some genes and gene amplification, interfere with formation of micronuclei in different cells, promote oxidative stress, altered growth factors, interfere with cell signaling pathways, inhibition of cell proliferation, promote apoptotic mechanism in various cell (monocytes, T-cells, cancer cells, melanocytes, dermal cells, keratinocytes), mitochondrial disfunctions [5, 17, 22, 46].
In addition to the ability to bind certain structures or to replace some compounds, at cellular level, arsenic compounds could inhibit the mitochondrial enzymes involved in cellular respiration, inactivate some enzymes, such as thiolase and dihydrolipoyl dehydrogenase and affects the oxidative phosphorylation [22].
Animal studies released that arsenic could produce deficits of growth, altered liver and breast milk triglyceride levels [17, 47], decrease of cell viability, induced apoptosis in some cells, increased oxidative stress, increased phosphorylation [17, 48], lower levels of corticosterone receptor, reduced learning and memory [17, 49].
Mercury or hydrargyrum is a heavy metal which belong to the transition elements series of periodic table [9, 22] and exist in the nature in three chemical forms, such as elemental or metallic or elementary mercury (Hg0), inorganic mercurous (Hg+1) and mercuric (Hg+2) and organic mercury compound, methylmercury (MeHg or CH3-Hg) and ethylmercury (EtHg or CH3CH2-Hg), the last two being obtained through methylation of inorganic mercuric form by microorganisms found in water and soil [5, 9, 17, 22, 50, 51]. Each chemical form has its own toxicity and chemical properties [9, 22]. Organic Hg compounds are more harmful than inorganic Hg, the order of increasing toxicity being following: metallic mercury (Hg0) < inorganic mercuric (Hg2+) < inorganic mercurous (Hg1+) < organic compounds [5]. At room temperature, elementary mercury is a liquid with high vapor pressure and released into nature as Hg vapor, which are more hazardous than liquid form [5, 9, 23].
It is used in numerous industrial processes, including mining (for extraction of gold), electrical industry (switches, thermostats, batteries), in lamp production factories (for fluorescent light bulbs), caustic soda production, measurement instruments (thermometers, manometers, barometers, mercury switches), nuclear reactors, paint industries, antifungal agents for wood processing, fungicides in agriculture (methylmercury and ethylmercury), soaps and some skin lightening creams (as mercury chloride) [1, 5, 22, 23, 52].
This metal can reach into the body through inhalation and ingestion of food contamination, especially of fish and seafood, but also by dental amalgams (which contain over 50% elemental mercury), preventive medical practices, industrial and agricultural operations, occupational operations [17, 22].
The most absorbed chemical species are elementary and methyl mercury (Me-Hg) [5, 22]. Metallic mercury, which is highly lipophilic, is absorbed by lungs (80%) and tissues lining the mouth and then passed into the cell through cell membranes when in oxidized and became inorganic mercuric (Hg2+), highly reactive. The elementary mercury has the capacity to cross the blood-brain barrier and the placental barrier [5, 22], having a higher neurotoxicity compared to inorganic mercury, which passes the cell membrane in a slower rate, but cannot cross the blood brain barrier and placenta [5]. Metallic mercury is slightly absorbed in the gastrointestinal tract, the toxicity in this case being reduced [5].
Methyl mercury is easily absorbed in gastrointestinal tract (95%) and circulated in the body, where bound to thiol groups, such as cysteine, with which it can form compounds able to pass the blood brain barrier [5, 17, 53]. Toxicokinetic of ethylmercury is similar with that of methylmercury [5, 53].
Methyl mercury entered in organism through the consumption of fish [5, 54], is absorbed in the gastrointestinal tract and due to its lipophilicity can pass the blood-brain barrier and placental barrier [22]. Cooking of fish does not diminish or eliminate mercury content [5]. Exposure to methyl mercury can produce mental retardation, cerebral palsy, deafness, blindness, dysarthria (especially at children exposed in utero) [17]. Instead, at higher concentration for short time, this could produce lung damage, nausea, vomiting, skin rashes, increased heart rate and blood pressure. Symptoms of organic mercury poisoning are depression, fatigue, memory problems, headache, tremors, hair loss [1].
Mercury and its compounds excretion rate depends on its oxidation state [10]. Elemental and inorganic mercury is eliminated by the kidney (urine) and minimally through gastrointestinal tract (feces), having a half-life of 30–60 days [10, 55, 56]. Organic compounds are excreted by feces, but are recirculated enterohepatic, in this case the half-life being 70 days.
Major of absorbed mercury accumulates into kidneys (where produce adverse effects on proximal tubules), hair, neurological tissues and liver [5, 22]. Because it accumulates in hair, it represents an index of exposure to methylmercury [5].
Elemental mercury exposure is associated with cough, dyspnea, fever, tremors, polyneuropathy of axonal sensor motor, malaise, gingivitis, delusions, hallucinations, mercurial erythrism, while exposure to inorganic mercury produce insomnia, renal tubular damage, wight loss, erythema, pruritus, hypersalivation, excessive perspiration [17].
Chronic mercury exposure produces neurological disorders, such as ataxia, shyness, tremors, numb limbs, memory problems, inability to speak, irritability, chewing, swallowing, muscle weakness, but also renal system disorders [1, 5, 23, 57]. Patients exposed to higher levels of methylmercury present increased tendon reflex [5, 57]. Low dose mercury can produce effects on neuronal systems, both on developing fetus and adolescent stage [17, 58], but also cell cytotoxicity, oxidative stress, which are associated with neurodegenerative disorders like Alzheimer and Parkinson [17, 51, 59]. At low concentration, it can affect the human endocrine system, through reduced production of thyroid gland hormone, affecting physiological functions of endocrine glands, reduced binding capacity of hormone to receptor, the most affected hormones being adrenaline, estrogen, testosterone and insulin [3].
On reproductive system, studied demonstrated their capacity to produce infertility in both, men and women. In male the spermatogenesis is affected, while in women could affect the levels of progesterone and estrogens, which produce disfunctions in ovaries, irregular menstruation and sloped uterus [5].
Because mercury can pass the placenta during pregnancy, it can affect fetus and can cause various abnormalities of the baby, such as developmental disabilities, dysplasia of the cerebral and cerebral cortexes and neuronal ectopia, especially after exposure to methylmercury [3, 5, 17, 57].
Into the cell, inorganic compounds and methylmercury interact with cysteine residues of proteins, product oxidative stress through generation of reactive oxygen species (ROS), which can produce enzymes, nucleic acid and lipids damage and may proceed to cell death [17]. They can affect the calcium homeostasis, by increasing intracellular calcium through acceleration the influx from extracellular medium and mobilizing intracellular stores [22]. Methylmercury also interact with sulfhydryl (▬SH) and selenohydryl (▬SeH) groups of the proteins and could produce damage of nucleophilic groups involved in catalytic, binding and transport functions [17]. Inorganic mercury also produces reactive oxygen species (ROS) through affecting oxidative phosphorylation and electron transport [22].
A number of compounds, such as vitamin C, vitamin E, selenium, melatonin and enzymes, including, glutathione reductase, glutathione peroxidase, catalase, superoxide dismutase, can have a protective effect on the body through antioxidant mechanisms to reduce or avoid the formation of reactive oxygen species. Mercury genotoxicity was associated with DNA damage, conformational changes in proteins responsible for DNA repair, genetic mutations, mitotic spindle, chromosomal segregation, action on nucleic acids [22].
Aluminum, the third most common metal of the earth crust, exist in the environment in only one oxidation state (Al3+). It is naturally present in food, but also in the environment, as silicates, oxides and hydroxides. Aluminum and its compounds are poorly absorbed through ingestion and inhalation, but the rates of absorption are not yet known [1, 10].
The ways in which this metal can reach the body are ingestion, inhalation, dermal contact or drugs [3, 10, 60]. Human exposure takes place through the consumption of drinking water, food and beverages that are high in aluminum content, working in environment with high levels of this metal, hemodialysis, long term intravenous nutrition, cosmetic products, utensils and medicines which contains it, dusty environments [1, 3, 10]. Patients with kidney dialysis are more exposed to this metal, through contaminated dialysates and phosphate binders [1]. The bioavailability of aluminum from diet is influenced by its form, as well as the presence of other food constituents which help him to form complexes [10].
The primary way of excretion is through urine. Due to the its natural presence and intake from food, all people have some levels in the body, and also in the urine [10]. People suffering from kidney disease has a low rate of elimination from the body, which involves its accumulation in the body, affecting the bones and brain [1, 3]. Also, their accumulation in the body, leading to changes in proximal tubules, such as increases in number and size of lysosomes, damage of mitochondria [3].
After entry to body, aluminum accumulates in soft tissues where interact with proteins and lipids and may produce changes in their structure [3].
In case of poisoning, the principal symptoms are nausea, ulcer of mouth and skin, skin rashes pain, vomiting, diarrhea and arthritic pain [1, 3].
On nervous system, aluminum may produce loss of memory and coordination, problems with balance, neurodegenerative disorders, such as Alzheimer, dementia, Parkinson, sclerosis. The studies demonstrated that higher concentration of aluminum found in different parts of brain could initiate the development of Alzheimer disease in humans [1, 3]. This metal could form a complex with adenosine triphosphate (ATP) from neuronal cells, which can affect their signaling and cause excitotoxicity [3].
Dialysis patients treated with dialysis fluids which contain aluminum, showed neurotoxic effects, while humans exposed to high aluminum dust in the workplace, manifested aluminosis [10, 61].
Humans exposed to higher levels could manifest changes of secondary hyperparathyroidism, adynamic bone disease, osteomalacia, the last two being characterized by low bone remodeling. Their toxicity is associated with lung disorders, anemia, nervous system problems, impaired iron absorption [1]. The accumulation of aluminum in bones impaired the bone formation process, known as osteodystrophy and put antiproliferative effects on osteoblasts [3]. Workers chronically exposed to aluminum, developed contact dermatitis and irritant dermatitis [1].
At cellular level, studies conducted demonstrated that it can disturbs the homeostasis of magnesium, calcium and iron, lower cholinergic elevations, apoptotic death of neuronal cells, inhibition of enzymes involved in DNA repair, inhibition of activity of antioxidant enzymes, cross linking of DNA, affecting cell viability, plasma membrane, microvilli and cell function in cells kidney [3, 62]. This increases the peroxidation of lipids from plasma membrane, by enhancement of lipid hydroperoxides, which can reduce the molecular arrangement of lipoprotein at the surface of membrane, but, also physical and chemical properties change in high density lipid (HDL). Also, aluminum is involved in high production of reactive oxygen species (ROS), which may obstruct normal process of mitochondria, initiation of inflammatory events and accumulation of iron, which induces genotoxicity in neuronal cells and death cells, affects the gene expression through interaction between aluminum and nucleic acid and monophosphate nucleotides [3].
Chromium exists in environment in oxidation states and from Cr+2 to Cr+6 [1, 3, 5, 22, 63]. It does not exist in elementary state (Cr0) [3, 22]. Trivalent oxidation state of Cr is considered more stable, followed by Cr+4. The most commonly forms are Cr+3 and Cr+6, both oxidation states being toxic to animals, humans and plants [5, 63]. Cr+3is immobile and insoluble in water, while Cr+6 is mobile and highly soluble in water [1, 13]. The solubility of chromium depends on its pH, Cr+3 is soluble only in acidic pH, while in neutral and alkaline pH, Cr+3 gets precipitated [23].
Environmental contamination with it, occurs by oil burning, catalyst, pigments production, chromium steel, tannery facilities, but also fertilizers and sewage, because is extensively used in several industries, like metallurgy, refractory, tannins, production of paints and pigments, pulp and paper production, wood preservation [1, 9, 22]. Chromium released by the anthropogenic activities in the environment occurs mainly in the hexavalent form [22].
Human exposure occurs through ingestion of food and water which contain, inhalation, especially in case of occupational workers or by dermal contact [5, 64]. Through their bioaccumulation in the body, a variety of affections can appear, such as, dermal, renal, neurological and gastrointestinal diseases, but also development of several types of cancer, on lung, larynx, kidney, testicles, bones, bladder, thyroid [5, 65]. Chromium can affect the reproductive function in men, due to sperm count decline [19]. Ingestion of drinking water containing high level of chromium may cause tumor in stomach [3]. The target organs are lungs, but significant chromium exposure can take place through skin [3, 22].
Occupational exposure to chromium increases the risk of cancer of lung, liver, gastrointestinal tract and central nervous system, while in female workers cause abortion [3, 13, 38]. Excess of chromium can produce thyroid cancer through reduction of requirement level of thyroid hormone in the body, disrupting hormones synthesis and secretion, interfering in its metabolism or interaction with their receptors [3, 66].
Some humans are sensitive to Cr3+ and after exposure allergic reactions, including redness and swelling of the skin, can appear. This oxidation state is poorly absorbed by any way, the toxicity being attributable to Cr+6 oxidation form [22].
Ingestion of Cr+4 can cause irritation and ulcer of stomach and small intestine, anemia, disfunctions of male reproductive system and at high dose produces sever problems on nervous, respiratory and cardiovascular systems, digestive organs, excretory function [3]. Researcher studies demonstrated that high levels in water were associated with cancers of liver, lung and genitourinary system [5, 67].
Cr+6 can produce adverse effects on excretory system, reproductive system, asthma, allergy, irritation and ulcers in the stomach and small intestine, anemia, increased mortality due the development of cancer of lung, larynx, kidney, testicular, thyroid, bones [3, 5, 22, 68], and in case of excess inhalation appear irritation and ulcer of nose [3, 22]. Also, it can reduce the DNA replication, damage DNA transcription, chromosome aberrations and affection of RNA [3, 5, 69]. Inside the cell, Cr+6 is converted into Cr+5, as intermediate, and then in Cr+3, which can form complexes with proteins and DNA [1, 3]. Cr+5 and other intermediate compounds, including reactive species of carbon and oxygen, that form during the reduction of Cr+6 to Cr+3, can react with DNA [3]. When hexavalent cation reacts with cellular reductants, Cr+4 and Cr+3 can also be obtained. Cr+6 was classified as group I occupational carcinogen [5, 70].
In cell, mechanism of chromium toxicity generates reactive oxygen species (ROS), which bring cell apoptosis, damage of DNA, genomic instability [3, 5, 71], suppression of DNA synthesis and genes expression [3], but also induces hyperexpression of some antioxidant enzymes, such as, peroxidase, catalase, superoxide dismutase [23].
Their carcinogenicity and toxicity depend of concentration, time of exposure, tissue and cell type [5, 72], route of exposure (ingestion, inhalation or dermal) [10], generation of free radicals [5, 73], oxidation state and its reactivity [5, 10, 22],
Copper is a trace element, component of many enzymes, including ceruloplasmin and cytochrome C oxidase, tyrosinase and dopamine beta-hydrolase, zinc-copper superoxide dismutase (antioxidant defense) and others, having function in transport functions, detoxification, antioxidant defense, immune function, pigmentation and melanin production [10, 74]. When it is present in high levels in the body, it may become toxic [3].
Human exposure take place through its release from water carrying pipes, fungicides, cooking utensils, birth control tablets, food. Copper has the highest redox activity, which lead to production of reactive oxygen species. Also, it binds to thiol groups of proteins and cause changes in liver enzymes involved in biotransformation processes [3].
At cell level, it can change the activity of natrium (Na+)/potassium (K+) ATP-ase and change of plasma membrane permeability, due the affection of the natrium/potassium pumps and increases of level of natrium in cytoplasm [3]. Large amounts of copper are stored in the liver [74], while the target organs are nervous system organs, including ganglia, neurons, cerebellum and hippocampus [3].
Excess of copper in the body or hypercupremia, occurs naturally during pregnancy, but also by chronic exposure to it, being associated with a number of diseases including Wilson’s disease, hepatic disorders (cirrhosis, hepatitis, gastroenteritis), neurodisorders, hyperceruplasmin [3, 10, 74]. Neurodisorders produced by chronic exposure to copper include neurodegenerative disorders, like Alzheimer and Parkinson, but also Huntington disease, amyotrophic lateral sclerosis [3], cognitive impairment, personality and behavioral changes [74].
Cells studies demonstrated that copper is accumulated in some cancer cell, such as colon cancer cell, ovarian cancer cells, breast cancer cell, more than in normal cells. Also, at cellular level, it can cause oxidative damage of DNA, their reduction can be made by use of Cu specific chelating agents [3].
Hypocupremia or copper deficiency are represented by serum level less than normal value of 0.64–1.56 μg/mL. Extreme hypocupremia could produce Menkes disease, known as Menkes kinky hair syndrome, a genetic disorder, characterized by steely hair, due to a mutation of the transport protein mediating the copper uptake from the intestine, but also by progressive neurological deterioration and early childhood death [10].
Another trace element, zinc, is involved in over 200 enzymes, with action in immune system, catalytic and structural structures, but also, in processes like synthesis and degradation of some components, including lipids, proteins, carbohydrates, nucleic acids, transcription and translation of polynucleotide, genetic expression, cell proliferation and differentiation, normal growth and development during pregnancy, childhood, adolescence, reduced growth rate and impaired resistance to infection [10].
Exposure to zinc of human is made by inhalation of zinc vapors and ingestion of a large overdose of zinc supplements, which contain zinc sulfate, overusing denture cream, but also by consumption of contaminated food and water [75, 76].
Zinc poisoning, at intakes higher than 100 mg/day, has been associated with abdominal pain, vomiting, diarrhea, nausea.
Long term exposure can cause malabsorption of copper and in case of diabetics, it can affect immune function associated with diabetes mellitus [10]. Severe toxicity present symptoms like kidney injury, pancreatic function damage, liver failure, dehydration and acute gastrointestinal bleed, septic shock, lethargy, sideroblastic anemia and dizziness [74, 76]. Zinc inhalation could produce dyspnea, airway inflammation and acute respiratory distress symptom, especially in case of occupational exposure [76].
Because this metal could interfere in copper absorption in the gastrointestinal tract, leading to copper deficiency [10], chronic exposure can cause polyneuropathy and can affect bone marrow [76].
Nickel is an essential trace element for plant, animals and human, but also a chemical pollutant which exist in several oxidation states, but most common is Ni2+. In the body, it is involved in activation of some enzymes, in protein structure and function, in prolactin production [3, 10].
Environmental contamination with nickel comes from natural sources, like volcanic emissions, weathering of soils, but also from industry, being used in catalysts for automobile, electroplating, electroforming, jewelry production, medical prostheses, production of nickel-cadmium batteries, cast coins [19].
This metal can reach the body through ingestion of contaminated water and food, inhalation of dust or smoking cigarettes and dermal contact, leading to increases level of Ni in blood, urine and body tissues. However, less than 10% of ingested nickel is absorbed by gastrointestinal tract [3, 10].
It can pass through plasma membrane through diffusion, calcium transport channels and phagocytosis, is circulated to various tissues, where bind with albumin, histidine and macroglobulin. In case of nickel, the target organs are kidneys, bons, lungs, liver, brain and glands of endocrine system, but it is not accumulated in those, being excreted outside [3].
Nickel exposure can produce disorders of liver, kidney, spleen, brain and tissues, but also vesicular eczema, nasal and lung cancer. Also, it interferes in iron resorption, which lead to anemia, disturb the incorporation of calcium into skeleton, causing parakeratosis damage [10]. On reproductive system, this metal affects the quality of semen and cause abnormalities in it, including the tail of sperms [3].
Occupational exposure can cause allergic dermatitis, known as “nickel allergy”. In case of dermal contact, skin rash or allergic dermatitis appear, due to wearing of nickel-plated jewelry. Women are more sensible to nickel than men, especially in pregnant women which work in metallurgic industry and their babies hence structure abnormalities [3, 10].
At cellular level, it can produce breaking of DNA strands, cross linking of DNA protection, DNA oxidation, nucleotides removal, genes mutations, modifications of chromatids, binding to enzymes involved in DNA repair and degradation of protein, generation of ROS, enhances lipid peroxidation, affecting calcium and sulfhydryl homeostasis, degradation of glutathione [3].
Heavy metal pollution is global treat and increasing day by day, due to many natural and anthropogenic activities, which disturb natural composition of soil, water and air, but also of living organisms [3, 23].
These metals can enter the body from sources of contamination by ingestion, inhalation or dermal contact, where they are absorbed, then bioaccumulated in various organs or target tissues, for different periods of time [5, 22]. The most important is the occupational exposure for those working in industries where these metals are produced or used, which can be reduced by various engineering solutions [1].
Heavy metals can affect organs and their functions, causing adverse effects in humans like, cardiovascular, neurologic, gastrointestinal, immunologic, endocrine, reproductively disorders, but also various types of cancer, including lungs, bladder, skin. But, the severity of those side effects depends on chemical state, time and dose of exposure, solubility [22].
In order to prevent exposure to these metals, as well as the occurrence of health problems, it is important to establish safety limits for different matrices [19].
This work was achieved through Core Program, with the support of the Ministry of Research, Innovation and Digitization, contract 22 N/2019, project PN 19 02 03 02 and CNCS/CCCDI—UEFISCDI, project number PN-III-P3-3.6-H2020-2020-0011/Ctr. 1/2020.
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. 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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment"},{id:"5",title:"Parasitic Infectious Diseases",scope:"Parasitic diseases have evolved alongside their human hosts. In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:{title:"Infectious Diseases",id:"6"},selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/172856",hash:"",query:{},params:{id:"172856"},fullPath:"/profiles/172856",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)}()