\r\n\tCKs have crucial roles in various viral infections such as influenza, hepatitis B virus (HBV), hepatitis C virus (HCV), viral meningitis, human immunodeficiency virus (HIV), and SARS-CoV-2.
\r\n\tCKs mediate the directing of the transport of leukocyte cells into the tumor microenvironment to generate the host response against cancer. CKs can directly modulate tumor tissue expansion by inducing the proliferation of cancerous cells and inhibiting their apoptosis. They can also indirectly modulate the growth of tumor tissue through the effects of CKs on tumor stromal cells, by inducing the release of growth and angiogenic factors of cells that make up the tumor microenvironment.
Detection of faces and facial patterns in static or video images is an important but challenging problem in computer vision, as faces may present in different scales, orientations, positions and poses in an uncontrolled background. To date, numerous approaches have been implemented for face and facial pattern detection [1-4]. These approaches have been grouped into four broad categories [2]. These are knowledge-based, feature based, appearance based and template based methods.
In this chapter, we present a simple yet robust algorithm for template matching method for face detection through eyes localization by using Dynamic Time Warping (DTW) algorithm with different poses and variations. By using DTW, we overcome some of the main limitations of Classical template matching.
We elaborate through discussion and experiments’ results that how our image processing strategy applied to DTW algorithm effectively increase the performance and detection rate. Using such an approach does not require translation of human knowledge about the face and facial patterns to computer representation, training data set and training mechanisms or face geometry, and does not require large numbers of model templates to handle different pose and variation changes shown by facial features. In the coming section, short study of Dynamic Time Warping algorithm (DTW) is presented. Proceeding to the next section we discuss the necessary steps for our image processing strategy. This is followed by presenting our approach of image partitioning, and in the next section we present dynamic time warping algorithm application in our work. Towards the end of this paper, results and discussion are put forward and conclusion is presented.
Dynamic Time Warping (DTW) is a fast and efficient algorithm for measuring similarity between two sequences. It is used to find the optimal alignment between two time series, if one time series may be warped non-linearly along its time axis. This warping between the two time series can be used to determine the similarity which may vary in time or speed. Similarity is measured by aligning two sequences and computing a distance between them [5]. This technique has made it possible to make a matching between two curves that are “subject not only to alteration by the usual additive random error but also to variations in speed from one portion to another” [5]. Dynamic Time Warping (DTW) was initially introduced to recognize spoken words [7]. Since then it has been used and proved useful in different applications such as: handwriting recognition [6, 8], signature verification [9-12], fingers print verification [13], face recognition [14, 15], speech and gesture recognition [16], protein structure [17], gene expression [18, 19], chromosome classification [20], object detection and classification [21, 22], curve matching [23,24] control system [25], image and shape matching [24,26] database and data mining [27- 29, 31, 32,34-37), brain activity classification [38], voice control [39] and so on.
The DTW algorithm uses a dynamic programming technique to align time series with a given template so that a total distance measure is minimized [25]. To align these sequences (the reference/template vector X of length M and the test vector Y of length N), a local cost matrix is defined where each cell (i,j) represents the pair wise distances between the ith component of X and the corresponding component jth of vector Y. Generally the Euclidean distance is suggested as a distance cost function in DTW algorithm to build a local cost matrix [30], the cost (distance) function has a small value when sequences are similar and large value if they are different. After computing the local cost matrix between two 1-dimenasional features’ vectors X and Y, a warping path is constructed by building a cumulative/global cost matrix D(i,j) [6,7]. The cumulative distances matrix D(i,j) is defined as the sum of the local distance d(i,j) found in the current cell and the minimum of the cumulative distances of the adjacent cells. A warping path is a concatenation of cells starting from (1,1) to the cell (M,N). The objective is to search an optimal path for which a least cost is associated. This path provides the low cost areas between the two feature-vectors (see section 3.5 for more details of building the local and global matrices).
In DTW, contsriants are applied for constructing optimal warping path [7, 27]. Constraints are widely used to speed up DTW [7, 27, 30, 33] by reducing the number of paths to be considered during the computation. “These constraints serve to reduce the search space- the space of possible warping paths. Searching through all possible warping paths is computationally expensive. Therefore, out of concern for efficiency, “it is important to restrict the space of possible warping paths” [27]. Several well-known constraints have been applied to the problem to restrict the moves that can be made from any point in the path. Sakoe and Chiba applied a pattern matching algorithm with a nonlinear time-normalization effect using dynamic programming to spoken word recognition [7]. They introduced several kinds of reasonable constraints as outlined below [27]:
Monotonicity: The alignment path doesn’t go back in time index, ik-1≤ ik and jk-1≤ jk.
This guarantees that features are not repeated in the alignment.
Continuity: The alignment doesn’t jump in time index, ik - ik-1≤ 1 and jk- jk-1≤ 1. This guarantees that important features are not omitted.
Boundary: The alignment starts at the top-left and ends at the bottom-right. This guarantees that the sequences are not considered only partially.
Warping window: A good alignment path is unlikely to wander too far from the diagonal. This guarantees that the alignment doesn’t try to skip different features or get stuck at similar features, and allowable points must fall within a given window, |ik - ik-1| ≤w; where w is a positive integer window width (threshold).
A new restriction called a slope constraint was introduced in their work and it was claimed that symmetric form and slope constraint are effective, which resulted in optimum performance in comparison to several dynamic programming algorithms [7]. Slope constraint was also used later by Wang et al. [23], to prevent unrealistic warping.
Berndt and Clifford [27] applied the constraints introduced in Sakoe and Chiba work [7] using symmetric form to find patterns in time series for archiving purpose. They used tracing backward technique to find the optimal warping path. Daniel et al. [33] proposed the threshold DTW (TDTW) algorithm based on the DTW technique, for two dimensional spatial activity recognition, by introducing a user defined threshold to the diagonal matching condition of the DTW. Their work showed that the TDTW is less affected to noise and they accomplished higher classification accuracy than DTW. David Clifford et al. [36] used DTW for aligning chromatogram signals. A variable penalty was introduced into the DTW that was added to the distance metric to reduce the number of non-diagonal paths. The percentage of non-diagonal moves taken during the usual DTW ranges from 52% to 70%. After adding the variable penalty to DTW, This range was reduced and it ranges from 1% to 5%. It was shown in the experiments that penalized DTW is highly significant and achieves good alignment of peaks in chromatograms.
These constraints are best visualized in [27, 23, 40]. Using constraints helps speed up DTW execution time by a constant factor but the DTW algorithm time complexity remains O(N2V) [40].
Some of the principal advantages of using Dynamic Time Warping include its capability to handle different scale and translation, its ability to compare two sequences of signals with different elongations. It does not require complex mathematical models.And “it is more robust against noise and provides scaling along the time axis. This ability allows DTW to identify similarities far more accurately and so enhances the functionality of the applications that use it” [31]. Furthermore, a simple pattern representation template is enough for similarity matching and detecting purposes with DTW [28]. However, DTW algorithm poses limitations in terms of time and space complexity [28, 40]. The time and space complexity of DTW is approximately
Another significant issue with DTW is to achieve the higher accuracy for classification problems. This issue is dealt on application by application or domain by domain basis. Research efforts are being put forward to address this issue [48,49].
Dynamic time warping gained significant attention in the last decade as a classification algorithm and similarity measure technique for different applications in different domains. Researchers have also attempted to use DTW with different existing algorithm within the domain of face localization and face recognition.
Luis et
The templates and the test images are free of noise.
The templates are free of noise and the test images are degraded with Gaussian noise (σ2=0.1).
The templates and the test images are degraded with Gaussian noise (σ2=0.1).
The first scenario showed a 100% detection rate and the path sizes matrix showed a perfect alignment of the templates and the test faces. The performance of the algorithm was reduced to 94% when applied to the second scenario; however, it shows the robustness of the algorithm in the presence of noise. The last scenario the performance is further reduced to 70%. All the scenarios are repeated using MSE as similarity measure and the performances were reported as 92%, 72%, and 34% respectively. For LSTM neural network, they used 50 faces converted to 1×361 feature vector as training set to represent the main classes. Eigen faces were extracted using PCA to reduce the dimensionality of the input space. The experiment is performed in two scenarios:
Using 10 PCA, and
Using 20 PCA.
Selecting the learning rate to be 0.02 and training the LSTM ANN for 50000 epochs in both scenarios to reach 0.05 mean square error. In the first scenario the detection rate was 96% and 88% for the second one. Computational complexity of their approach was not investigated. The proposed LSTM ANN exhibited high performance and robustness.
The eyes region has the most edge information in a facial image [42], and hence, it can be considered as a vital signature of a human face. Thus, the eyes region was chosen in this study as a facial pattern to apply the proposed method.
To have an eye region as a facial pattern template, a face image of a person from a data set (reference) has been cropped to eyes. Significant information (features) is then extracted from this particular template and transformed into a 1-Dimendioanl (1-D) series sequence. In addition, this facial pattern is used as a reference to detect eyes in the input images from the data set. On the other hand, an input face image from the image data set is gone through a partitioning process (see sub-section 3.2.3). This process produces virtual partitions of an input image. Each partition is equivalent to the template image in size. For each partitioned region, significant information is extracted and converted into a 1-D vector sequence to be aligned with the reference sequence (from template image) by DTW. The partition which belongs to a sequence that best matches the reference sequence is selected as the eyes/face region of the facial image. The proposed image processing strategy consists of the following steps:
Edge Detection,
Histogram Equalization,
Image Partitioning, and
Features-Vectors Extraction.
Figures 1 and 2 present the functional flow of the image processing strategy and the image processing strategy respectively. All the steps stated above are described in the following sections.
Functional flow of Eye region detection process
The first step of proposed strategy is edge detection. An input image is processed for edge detection to find the region boundaries. Standard Sobel operators are used with 3X3 filters for edge detection. Once the boundaries of the image are determined, a cropping step is applied.
Cropping an image is important in reducing the size of the data and iterations required to scan full image by DTW. For this purpose, a cropping rule is set instead of the manual cropping. An image is cropped till the first boundary region determined in the previous step is obtained. Figure 3 shows the original input image and the edge image for the same image, as well as the result of the cropping rules.
Image processing strategy
a) The original image, (b) the image after the application of Sobel operator, (c) the cropped image.
Intensities in the images are highly sensitive to external factors, such as illuminations, pose, rotations of the images, etc. These external factors affect the distribution of intensities in the histogram of the images [44], which in turn affects the detection rate to a great extent. In order to make the intensities relatively insensitive to a particular contrast, and brightness of the original image, etc., a histogram equalization is applied with a flat envelop on the image to re-distribute the intensities throughout the range. Figure 4 shows the histogram of an image before applying the histogram equalization step. In comparison to the histogram shown in Figure 4, the histogram of the same image is shown in Figure 5 after applying the histogram equalization. It can be seen in Figure 5 that the intensities of the image have been distributed throughout the range of the histogram.
A histogram distribution of an image before histogram equalization
A histogram distribution of an image after histogram equalization
Im.age partitioning is an important step of the proposed strategy for face detection using DTW. In this step, virtual image partitions are extracted from an image. It is applied only on the test (input) images, which have been cropped through the steps of the image processing strategy. The image partitioning performed by our heuristic is given in Figure 6 below.
All partitions are equal in the size of the template image. Partitioning of an image is performed from the beginning of the first row and column and these are continued till the last row and column. All image partitions are further processed through the steps of the proposed image processing strategy, as shown in Figure 1. These image partitions are transformed into 1-D feature vectors (see section 3.4). It is important to note that at this point, DTW algorithm is used to measure the similarity between the template features vector and the vectors of the partition features to detect facial patterns and faces.
Partitioning process has been elaborated with the example given in Figure 7. In this figure, the first input image partition is virtually extracted (equivalent in the size of the template) from the first row and the first column, as shown by the sky blue colour. The second partition is extracted from the first row and the second column, which is shown in white (see Figure 7). In this way, the partitioning of an input test image goes through each column and row in a test image to find the optimal path between the two sequences. Thus, horizontally, a column and vertically a row becomes a
Heuristic for image partitions
Image Partitioning Process
To extract a particular feature from the image using 1-D DTW algorithm, horizontal and vertical projections are computed by integrating the columns and rows to produce 1-D vectors. The horizontal and vertical integral projections are presented in Equations 1 and 2, respectively.
In Equations 1 and 2, N is the width of the template/input partition image (the total number of columns available), M is the height of the template/input partition image (total number of rows). Figure 8 and 9 show the horizontal and vertical relief of the image (eyes region) respectively.
Horizontal projections for image template
Vertical projections for image template
The feature vector is formed by concatenating the y-relief and x-relief vectors. From Equations 1 and 2, the feature vector f can be obtained, as follows:
Where ⊕ denotes vector concatenation and k=N+M.
Equation 3 represents the feature vector extracted from a 2-D image. In the present work, the last element of the row sequence was joined to the first element of the column sequence. It was found through the experiment that an advantage of concatanating the horizontal and vertical projections in the features would include the cross correlation between the values in the rows and columns in the resulted accomulative distance matrix (in DTW algorithm). This row-column cross correlation has been found to make the classification less sensitive to the variation in the pose and orientation of the images. Figure 10 shows the result of cocatnation the vertical and horisontal vectors of the image template (eyes in this case).
Concatenated projections for image template
Assume that there are two image vectors, I (the input image partition) and T (representing template image) each having noise
In Equations 4 and 5, m denotes the number of columns (the length) in the input image’s partition I, and k denotes the number of column in the template image T (both vectors I and T have same length in the proposed method), whereas In and Tn are the input image partition and template image vectors with noise, respectively.
To align the image sequences, first a grid, I× T, local cost matrix is defined, where each cell represents the distance between the corresponding indices of the two feature-vectors. Normally, Euclidean distance is chosen to calculate the distance between the two elements in the matrix, d. The local distance matrix d can be computed as follows:
The d matrix is of the size of m×k, presenting the cost values between each element of vector I and T, as shown in Equation 3.7 below:
Rearranging the terms in each element in Equation 7, the local distance matrix can be written as shown in Equation 8:
After computing and building the local distance cost matrix (d) between two 1-D features’ vectors I and T, a warping path (WP) is constructed by building a cumultaive/global cost matrix D(i,j). As previously mentioned (see section 2), the cumulative distance matrix D(i,j) is defined as the sum of the local distance d(i,j) found in the current cell and the minimum of the cumulative distances of the adjacent cells. A warping path is a concatenation of the cells starting from (1,1) to the cell (m,k). Let’s define the minimum operator as follows:
Where Mij is the minimum of the three cells in the global cost matrix D, from where the cell can be reached (depicted in Figure 11).
The cell (i, j) and the three cells surrounding it.
Therefore, the global distance matrix (or the accumulative distance) can be formed from
Applying the minimum operator and the steps to create the global distance matrix will result in building matrix D. Equations 11-21 represent the process of building the global cost matrix D.
The first element in the D matrix is equivalent to zero.
The entire first row and first column of the global matrix D is filled by infinity to ensure that the first element D (1,1) is the minimum. The second element of D, D (2, 2) is filled as follows:
Proceeding in the same manner for the second column of D and the second row of D:
In the same manner, the contents of the second column can be written as:
Once again, the second row elements of the matrix D can be expressed in the same manner, as:
The rest of D elements can be computed on the same manner, D will be:
Constraints are applied for constructing the optimal warping path (Sakoe & Chiba 1978), (see section 2 for more details).
Monotonicity: The alignment path does not go back in the time index, il-1≤ il and jw-1≤ jw.
This guarantees that the features are not repeated in the alignment (see Figure 3.12).
Continuity: The alignment does not jump in the time index, il – il-1≤ 1 and jw- jw-1≤ 1. This guarantees that the important features are not omitted. Continuity condition is shown in Figure 12, along with the monotonicity constraint.
Boundary: The alignment starts at the beginning of the matrix and ends at the bottom-right. This guarantees that the sequences are not considered only partially. The blue boxes in Figure 12 show that the path starts at D (1,1) and ends at D (m,k).
Warping window: A good alignment path is unlikely to wander too far from the diagonal. This guarantees that the alignment does not try to skip different features or get stuck at similar features, and allowable points must fall within a given window, |il – il-1| ≤w; where w is a positive integer window width (threshold). Windowing constraint appears in Figure 12, as the two dark red lines surrounded the purple diagonal line.
Figure 12 illustrates the global cost matrix together with the warping path and the constraints applied to the paths.
Alignment between the two image vectors I and T
The proposed algorithm is implemented in MatLab 9 running on a computer with 2.0GHz dual core OPTERON processor and 1.87GB RAM. To evaluate the proposed techniques and method, two publicly available databases were used in this study. One database, containing face images with a resolution of 512 x 342 pixels under controlled lighting conditions and different rotations, is available from University of Bern, Switzerland [47]. Additionally, face images have changes in their facial expressions and immediate changes in head poses (right, left, up down and straight). The second one is the BioID face images database with the resolution of 384 x 286 pixels [46]. This database has face images with a complex background, along with different expressions and various illumination conditions, poses, and rotations. We conducted the experiments in different settings to evaluate the efficacy of our approach. In first setting, we applied the technique for eyes localization using DTW without our image processing strategy; the detection rate was very low. In second setting, we applied our image processing strategy with histogram equalization and DTW algorithm on the same dataset, the detection rate improved within 35%. Figure 13 shows the arbitrary eyes template chosen for our experiment.
The arbitrary template of eyes
With our experimental analysis and observation, histogram equalization reduced the effect of light on intensity distribution.
Comparing to other template matching methods [45] our system is simple fast and easy to implement with no training data set and shape model is needed, and template of eyes is manually cropped. The proposed method is showing acceptable detection rate and less time complexity comparing to other classifier and distance measurement systems.
Using the proposed image processing strategy, features vector were extracted (see section 3.4). With these extracted features, histogram equalization was applied with a flat envelop for both the template image and input test image(s) so as to re-distribute the intensities throughout the range. Histogram equalization distributes the intensities of an image throughout a range of histogram. The better distribution of the intensities has helped to detect facial patterns and face in bright background with existing illumination and lighting conditions. For example, the face image shown in Figure 14(a) was processed in Experiment setting 1 for the eye detection. Figure 14(a) shows that the eyes were not detected before histogram equalization was applied. Figure 14(b) illustrates the alignment between both the template and input image template vectors.Before thatfigure 14(c) depicts the histogram distribution for the image shown in Figure 14(a). It is obvious that both vector sequences are not well aligned. With our experimental analysis, histogram equalization was applied to reduce the effect of light on intensity distribution. The same facial image is shown in Figure 15(a) after applying histogram equalization. From the figure, it can be seen that the eyes have been detected correctly. Furthermore, both the vectors have been well aligned, as shown Figure 15(b) below:
Before applying image processing strategy
Correct detection of the eyes after applying image processing strategy
Figure 16 and 17 show some of the image faces in different poses and lighting conditions, which are detected correctly and the alignment between the template image and the test images corresponding to these images, respectively.
a-f) Face Images with positive eyes localized. (BioID images database [
a-f) the corresponding graph of the warping path for the same image presented in
We have presented our approach of template-based matching method and Dynamic time warpping to efficiently enhance the detection and localization of eyes in complex background with face images under differnt illumination, light conditions, expressions and poses. This method overcomes some of the limitations of tempalte matching for face detection. With more developed DTW technique this method helps in getting high accuracy in matching process. Results of our approach show that supplementing DTW with proposed image processing strategy enhances the detection of facial feature patterns and face detection by overcoming intensities and face pose variations. Future work involves the improvement of DTW algorithm and Dynamic Programming constraints to further increase the detection rate.
The prevalence of diabetes has increased rapidly over the past few years, mainly in low to middle-income countries, and became one of the major causes of premature death worldwide. According to the WHO statistics, 422 million people were estimated as diabetes in 2014, and 1.6 million deaths were reported [1]. The International Diabetes Federation estimated that the world’s diabetic population has increased to 592 million by 2035. The largest number of diabetes cases was reported in the Western Pacific region (132 million), while 71.4 million diabetes cases were reported in the South Asian area [2].
Diabetes mellitus is a chronic metabolic disease characterized by hyperglycemia due to defects in insulin secretion, insulin action, or both. It is mainly classified as insulin-dependent diabetes mellitus (Type 1 DM) and non-insulin-dependent diabetes mellitus (type 2 DM). Type 1 DM is associated with deficiency of insulin, which occurs due to the destruction of pancreatic ß-cells via an autoimmune process. In contrast, type 2 DM is linked with insulin resistance, which reduces insulin utilization by peripheral tissues and results in hyperglycemia and obesity [3]. Type 2 DM became a major health problem worldwide associated with microvascular and macrovascular health complications. Microvascular and microvascular complications include diabetic retinopathy, neuropathy, nephropathy, and cerebrovascular diseases, peripheral arterial diseases, respectively [4]. Therefore, natural therapeutic approaches [5] should be developed to maintain the blood glucose level and long-term complications in patients with type 2 DM.
As currently available treatment regimens for type 2 DM have adverse side effects, it is necessary to search for an effective drug that helps maintain the blood glucose level and complications in patients with type 2 DM. Even though most of the researchers focused on herbal medicine, none have a full beneficial effect on curing patients with type 2 DM [6]. Hence, it is worth emphasizing marine seaweeds as they have been identified as a rich source of promising bioactive compounds synthesized from their biochemical and physiological mechanisms. Besides, most marine seaweeds are survived in extremely harsh environments, which provide enormous potential to produce complex bioactive compounds to withstand extreme conditions. As a result, the composition of the bioactive compounds in marine seaweeds can vary depending on the geographic area and seasonal changes [7]. As most marine seaweeds are a potential source of bioactive compounds with various therapeutic effects, this chapter mainly emphasizes the pharmacological uses of marine algae as an anti-diabetic therapy.
As type 2 DM is a progressive disorder, the search for effective treatments is essential to maintain hyperglycemia and its associated diabetic complication. Insulin resistance and impaired beta-cell function lead to hyperglycemia due to alteration in glucose homeostasis, which in turn cause loss of postprandial glucose control. Therefore, postprandial blood glucose maintenance is essential to manage the hyperglycemic condition and associated complications in type 2 diabetes patients [8]. Postprandial hyperglycemia in type 2 DM patients can be controlled by inhibiting metabolic enzymes such as α-amylase, α-glucosidase, dipeptide peptidase-IV, gut-derived peptide hormones (incretins), and glucagon-like peptide-1 hormone. The glucose-dependent insulinotropic peptide, aldose reductase, angiotensin-converting enzyme, and protein tyrosine phosphatase 1B are involved with diabetic complications [9].
Alpha-amylase and alpha-glucosidase are exo-acting glycoside hydrolase enzymes involved in carbohydrate digestion. Alpha-amylase is involved in the digestion of long-chain carbohydrates, while alpha-glucosidase catalyzes the end step hydrolysis of starch or disaccharides into simple glucose units. Therefore, inhibitors of these enzymes delay glucose absorption, reducing the postprandial blood glucose level [10].
Dipeptide peptidase-IV is a protease enzyme involved in the degradation of incretins, a group of metabolic hormones that stimulate ß cells of Langerhans’ islet to release insulin. Incretins are released after nutrient intake, and they delayed gastric emptying and decrease glucagon secretion in addition to stimulation of insulin secretion [11]. Contrarily, the incretin effect on insulin secretion gradually decreases once the patient becomes euglycaemic [12]. Hence, inhibitors of dipeptide peptidase IV are efficient therapeutic means to reduce the degradation of incretins, which help maintain hyperglycemic conditions in type 2 DM.
Similarly, aldose reductase is a rate-limiting enzyme involved in the polyol pathway, which catalyzes glucose reduction into sorbitol in an NADPH-dependent pathway. As the aldose reductase has broad substrate specificity, it binds with glucose and converts it into sorbitol once the hexokinase is saturated and the blood glucose level is high. As a result, produced sorbitol is accumulated within the cells and creates an osmotic effect, leading to cataracts and diabetic neuropathy [13, 14]. Thus, aldose reductase inhibitors prevent secondary diabetes complications.
Similarly, the angiotensin-converting enzyme plays a vital role in the renvital angiotensin-aldosterone system, a hormone system responsible for maintaining the blood pressure and fluid balance in the body. Angiotensin-converting enzymes convert angiotensin I into angiotensin II, a potent vasoconstrictor that mainly acts on arterioles that stimulate the release of aldosterone from the renal cortex and improve sodium reabsorption from the kidney. Therefore, activation of the renin-angiotensin-aldosterone system leads to increased blood pressure, resulting in microvascular and macro-vascular complications in patients with type 2 DM. Thus, inhibitors of the angiotensin-converting enzyme reduce the long-term microvascular and macrovascular complications by lowering the arterial and venous blood pressure [15]. A study reported by Ustundag et al. [16] confirms that angiotensin-converting enzyme activity is increased in diabetic patients compared to normal individuals.
Correspondingly, protein tyrosine phosphatase IB (PTP IB) is a negative regulator of the insulin signaling pathway that dephosphorylate tyrosine residues in insulin receptor and insulin receptor substrate-1. Which in turn reduces insulin sensitivity [17]. Hence, inhibition of the PTP IB enzyme leads to lower blood glucose levels by enhancing insulin sensitivity. The stable hyperglycemic condition in type 2DM patients leads to the accumulation of advanced glycated end products in various tissues resulting in diabetic complications such as neuropathy, nephropathy, retinopathy, and other chronic diseases [18]. Therefore, the natural compounds, which inhibit the formation of advanced glycation end products, would be a promising therapeutic target to suppress the diabetic complications associated with glycated products.
Marine seaweeds are categorized into three algal classes; red (
Recently, marine seaweeds have been identified as a rich source of bioactive secondary metabolites with human health benefits. In particular, polyphenols, sterols, alkaloids, flavonoids, tannins, proteins, peptides, essential fatty acids, enzymes, vitamins, and pigments are extensively synthesized by marine seaweeds. These compounds exhibit significant chemical and biological properties such as anti-diabetic, antioxidant, cytotoxic, anti-fungal, anti-bacterial, anti-coagulant, anti-inflammatory, and antiproliferative activities, etc., [19, 20]. The marine seaweeds are a rich source of sulfated polysaccharides (Figure 1), which have been reported to possess beneficial human effects. Fucoidan, alginates, and laminarans are sulfated polysaccharide found in brown seaweeds and reported to exhibit anti-diabetic, antioxidant, and anti-inflammatory activities [21]. Carrageenans and agarans are sulfated polysaccharides found in red seaweeds. Similarly, ulvan is the sulfated polysaccharide found in green seaweeds [22]. The sulfated polysaccharides are known to possess anti-viral, anti-tumor, and anti-coagulant activities [23].
Chemical structures of sulfated polysaccharides present in marine seaweeds.
Marine seaweeds are rich in polyphenolic compounds, including flavonoids, bromophenols, phlorotannins, mycosprine-like amino acids, and phenolic terpenoids (Figure 2). The mycosprine-like amino acid is a small molecule with hydroxylated aromatic rings. Phlorotannins are polyphenolic metabolites found in brown seaweeds. They can be classified into six subgroups; fuhalols, phlorethols, fucophlorethols, and fucols, eckols, and carmalols based on their linkage between phloroglucinol units and hydroxyl groups. Flavonoids, bromophenol, phenolic terpenoids, phenolic acids, and mycosporine-like compounds are reported to possess antioxidant, anti-diabetic, anti-inflammatory, anti-allergic, and anticancer properties [24, 25, 26].
Organic structures of phlorotannins and bromophenols.
Among the bioactive compounds present in marine seaweeds, marine algae-derived accessory pigments are important as they possess beneficial biological activities [27]. Fucoxanthin is the most abundant accessory pigment found in brown seaweeds and reported to have potent biological activities such as anticancer, antioxidant, anti-diabetic activities due to the presence of unusual allenic bond and a 5, 6-monoepoxide in its structure [21]. Phycobiliproteins, a water-soluble accessory pigment found in red seaweeds, can be divided into three main categories; phycocyanins, allophycocyanins, and phycoerythrin. Phycoerythrins are abundantly found in red seaweeds and reported to possess immuno-modulating and anticancer activities. Similarly, chlorophylls are found in green seaweeds and are said to have antioxidant activity [27].
Similarly, marine algae-derived peptides have been identified to possess a wide range of biological activities such as antioxidant, anti-diabetic, anti-microbial, antihypertensive properties, etc. Hence, most algal-derived proteins have been widely used in food and pharmaceutical industries [28]. The protein content of the marine seaweeds differs depending on the seasonal period and type of species. The brown seaweeds usually contain low protein content compared to the red and green seaweeds. Despite this, some brown algal species such as
Marine seaweeds have been widely studied for their anti-diabetic potential through different mechanisms due to bioactive secondary metabolites. Several
Brown seaweeds
Among the brown seaweeds, “Ecklonia” and “Eisenia” genera have been reported to exert hypoglycemic effects through α-amylase and α-glucosidase inhibitory activities [30]. The observed hypoglycemic activity can be attributed to the presence of phlorotannins; eckol, dieckol, 6,6′-bieckol, phlorofucofuroeckol-A, and phloroglucinol, and 7-phloroeckol [31]. According to the reported studies, methanol extract of
A brown seaweed
Green seaweeds
Green seaweeds belong to the genus “Ulva.” They have been reported to possess hypoglycemic activity, and they have been used for various food dishes in Asians due to the presence of high soluble fiber content. The aqueous extract of green seaweeds
The methanol extract of a green seaweed
Red seaweeds
Among the marine red seaweeds, the genus “Gracillaria” was reported to possess the hypoglycemic effect through the inhibitory effect on α-amylase and α-glucosidase enzymes. Gunathilaka
Dipeptidyl peptidase-IV (DPP-IV) is an enzyme involved in the degradation of incretin hormones, maintaining postprandial blood glucose levels. Among three types of seaweeds, brown seaweeds have been extensively reported to possess a dipeptidyl peptidase-IV (DPP-IV) inhibitory effect compared to red and green seaweeds [42].
Brown seaweeds
The brown seaweeds
Green seaweeds
The previous study conducted by Chin
Red seaweeds
The sulfated polygalactans isolated from red seaweeds
Brown seaweeds
The ethyl acetate fraction of brown seaweed,
Green seaweeds
The chloroform and ethanol fractions of green seaweed,
Red seaweeds
Regarding red seaweeds, the bromophenol compounds present in red seaweeds have been identified as effective therapeutic agents. The bromophenols such as bis (2,3,6-tribromo-4,5 -dihydroxy phenyl) methane, 2,2′,3,6,6′-pentabromo- 3′,4,4′,5-tetrahydroxydibenzyl ether, and 2,2′,3,5′,6-pentabromo- 3′,4,4′,5-tetrahydroxydiphenylmethane isolated from red seaweed,
Brown seaweed
The brown seaweeds belonged to the genus “Sargassum” as reported to exhibit the potent inhibitory activity of PTP 1B enzyme due to the presence of secondary bioactive compounds. Ali
Green seaweeds
Several studies have been reported to elucidate the anti-diabetic potential of green seaweeds by enhancing insulin sensitivity through the mechanism of PTP 1B inhibition. Among the marine green seaweeds, Crude chloroform and methanol extract of a green seaweed
Red seaweeds
Most of the red seaweeds belonged to the genus “Chondus” exhibited anti-diabetic activity via PTP 1B enzyme inhibition. According to the recorded studies, chloroform extract of
Brown seaweeds
Phlorotannins eckol, phlorofucofuroeckol-A, and dieckol isolated from brown seaweed,
Green seaweeds
Among the green seaweeds, few studies have been reported regarding the inhibitory effect on the angiotensin-converting enzyme. Crude and saponified extracts of
Red seaweeds
The red seaweeds have been widely studied to elucidate the inhibitory effect on angiotthe ensin-converting enzyme, as it plays a crucial role in regulating blood pressure. According to the recorded studies, the aqueous extract at 20 °C of red seaweeds
Brown seaweeds
Among the brown seaweeds,
Green seaweeds
So far, minimal studies have been reported to demonstrate the inhibitory effect of green seaweeds on the formation of advanced glycation end products. The chloroform, ethanol, and butanol fractions of a green seaweed
Red seaweeds
Regarding the red seaweeds, the ethyl acetate fraction (IC50: 586.54 μg/ml) of
Recently, marine seaweeds have been extensively studied for their therapeutic effects due to promising bioactive compounds. Among the non-communicable diseases, diabetes mellitus is the third leading cause of death associated with vascular complications. As it is a progressive disorder, it is necessary to search for an adequate drug for natural resources with minimum side effects. Therefore, this chapter illustrates the different anti-diabetic mechanisms of marine seaweed extracts and their bioactive compounds.
The University of Sri Jayewardenepura, Sri Lanka (ASP/01/RE/SCI/2017/50).
The authors declare no conflict of interest.
"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges".
\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.
",metaTitle:"About Open Access",metaDescription:"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges.\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.",metaKeywords:null,canonicalURL:"about-open-access",contentRaw:'[{"type":"htmlEditorComponent","content":"The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\\n\\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
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\\n\\nOA Publishing Fees
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The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\n\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
\n\nAt IntechOpen today, we are still as committed to working with organizations and people who care about scientific discovery, to putting the academic needs of the scientific community first, and to providing an Open Access environment where scientists can maximize their contribution to scientific advancement. By opening up access to the world’s scientific research articles and book chapters, we aim to facilitate greater opportunity for collaboration, scientific discovery and progress. We subscribe wholeheartedly to the Open Access definition:
\n\n“By “open access” to [peer-reviewed research literature], we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited” (reference: http://www.budapestopenaccessinitiative.org)
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\n\nAs a firm believer in the wider dissemination of knowledge, IntechOpen supports the Open Access Initiative Protocol for Metadata Harvesting (OAI-PMH Version 2.0). Read more
\n\nLicense
\n\nBook chapters published in edited volumes are distributed under the Creative Commons Attribution 3.0 Unported License (CC BY 3.0). IntechOpen upholds a very flexible Copyright Policy. There is no copyright transfer to the publisher and Authors retain exclusive copyright to their work. All Monographs/Compacts are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Read more
\n\nPeer Review Policies
\n\nAll scientific works are Peer Reviewed prior to publishing. Read more
\n\nOA Publishing Fees
\n\nThe Open Access publishing model employed by IntechOpen eliminates subscription charges and pay-per-view fees, enabling readers to access research at no cost. In order to sustain operations and keep our publications freely accessible we levy an Open Access Publishing Fee for manuscripts, which helps us cover the costs of editorial work and the production of books. Read more
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\n\nIntechOpen is committed to ensuring the long-term preservation and the availability of all scholarly research we publish. We employ a variety of means to enable us to deliver on our commitments to the scientific community. Apart from preservation by the Croatian National Library (for publications prior to April 18, 2018) and the British Library (for publications after April 18, 2018), our entire catalogue is preserved in the CLOCKSS archive.
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Knowing that almost 90% of failures occur in the distribution systems, great interest was dedicated to this part of the system, and the first work was oriented to reliability indices defined as objectives to attempt and as performance measures in the electricity market. Some works deal with the managers’ behavior, and the customers reactions are modeled using economic criteria in uncertain future and inspired from game theory. When studying components, degradation models were introduced and combined with the effects of socks to study the reliability changing during system operation. In some works, the correlation between maintenance policies and reliability aspects was highlighted. 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The effectiveness of the application is demonstrated by examples.",book:{id:"6584",slug:"probabilistic-modeling-in-system-engineering",title:"Probabilistic Modeling in System Engineering",fullTitle:"Probabilistic Modeling in System Engineering"},signatures:"Igor Goncharov, Nikita Goncharov, Pavel Parinov, Sergey\nKochedykov and Alexander Dushkin",authors:[{id:"231528",title:"Ph.D.",name:"Igor",middleName:null,surname:"Goncharov",slug:"igor-goncharov",fullName:"Igor Goncharov"},{id:"240727",title:"Mr.",name:"Nikita",middleName:null,surname:"Goncharov",slug:"nikita-goncharov",fullName:"Nikita Goncharov"},{id:"240728",title:"Mr.",name:"Pavel",middleName:null,surname:"Parinov",slug:"pavel-parinov",fullName:"Pavel Parinov"},{id:"240729",title:"Mr.",name:"Sergey",middleName:null,surname:"Kochedykov",slug:"sergey-kochedykov",fullName:"Sergey Kochedykov"},{id:"249097",title:"Dr.",name:"Alexander",middleName:null,surname:"Dushkin",slug:"alexander-dushkin",fullName:"Alexander Dushkin"}]},{id:"56062",doi:"10.5772/intechopen.69721",title:"A Decision Support System for Planning and Operation of Maintenance and Customer Services in Electric Power Distribution Systems",slug:"a-decision-support-system-for-planning-and-operation-of-maintenance-and-customer-services-in-electri",totalDownloads:1702,totalCrossrefCites:4,totalDimensionsCites:7,abstract:"This chapter aims to present the design and development of a decision support system (DSS) for the analysis, simulation, planning, and operation of maintenance and customer services in electric power distribution system (EPDS). The main objective of the DSS is to improve the decision‐making processes through visualization tools and simulation of real cases in the EPDS, in order to allow better planning in the short, medium, and long term. Therefore, the DSS helps managers and decision‐makers to reduce maintenance and operational costs, to improve system reliability, and to analyze new scenarios and conditions for system expansion planning. First, we introduce the key challenges faced by the decision‐makers in the planning and operation of maintenance and customer services in EPDS. Next, we discuss the benefits and the requirements for the DSS design and development, including use cases modeling and the software architecture. Afterwards, we present the capabilities of the DSS and discuss important decisions made during the implementation phases. We conclude the chapter with a discussion about the obtained results, pointing out the possible enhancements of the DSS, future extensions, and new use cases that may be addressed.",book:{id:"6024",slug:"system-reliability",title:"System Reliability",fullTitle:"System Reliability"},signatures:"Carlos Henrique Barriquello, Vinícius Jacques Garcia, Magdiel\nSchmitz, Daniel Pinheiro Bernardon and Júlio Schenato Fonini",authors:[{id:"180154",title:"Dr.",name:"Daniel",middleName:"P",surname:"Bernardon",slug:"daniel-bernardon",fullName:"Daniel Bernardon"},{id:"180657",title:"Dr.",name:"Vinicius Jacques",middleName:"Jacques",surname:"Garcia",slug:"vinicius-jacques-garcia",fullName:"Vinicius Jacques Garcia"},{id:"203699",title:"Dr.",name:"Carlos",middleName:null,surname:"Barriquello",slug:"carlos-barriquello",fullName:"Carlos Barriquello"},{id:"206560",title:"Mr.",name:"Magdiel",middleName:null,surname:"Schmitz",slug:"magdiel-schmitz",fullName:"Magdiel Schmitz"},{id:"206562",title:"BSc.",name:"Júlio",middleName:null,surname:"Schenato Fonini",slug:"julio-schenato-fonini",fullName:"Júlio Schenato Fonini"}]},{id:"57878",doi:"10.5772/intechopen.71501",title:"Time Series and Renewable Energy Forecasting",slug:"time-series-and-renewable-energy-forecasting",totalDownloads:900,totalCrossrefCites:2,totalDimensionsCites:6,abstract:"Reliability is a key important criterion in every single system in the world, and it is not different in engineering. Reliability in power systems or electric grids can be generally defined as the availability time (capable of fully supplying the demand) of the system compared to the amount of time it is unavailable (incapable of supplying the demand). For systems with high uncertainties, such as renewable energy based power systems, achieving a high level of reliability is a formidable challenge due to the increased penetrations of the intermittent renewable sources such as wind and solar. A careful and accurate planning is at the utmost importance to achieve high reliability in renewable energy based systems. This chapter will assess wind-based power system’s reliability issues, and provide a case study that proposes a solution to enhance the reliability of the system.",book:{id:"6086",slug:"dependability-engineering",title:"Dependability Engineering",fullTitle:"Dependability Engineering"},signatures:"Mahmoud Ghofrani and Anthony Suherli",authors:[{id:"183482",title:"Dr.",name:"Mahmoud",middleName:null,surname:"Ghofrani",slug:"mahmoud-ghofrani",fullName:"Mahmoud Ghofrani"},{id:"216997",title:"Mr.",name:"Anthony",middleName:null,surname:"Suherli",slug:"anthony-suherli",fullName:"Anthony Suherli"}]},{id:"66913",doi:"10.5772/intechopen.85571",title:"Reliability Evaluation of Power Systems",slug:"reliability-evaluation-of-power-systems",totalDownloads:2014,totalCrossrefCites:3,totalDimensionsCites:6,abstract:"Reliability evaluation of electric power systems is an essential and vital issue in the planning, designing, and operation of power systems. An electric power system consists of a set of components interconnected with each other in some purposeful and meaningful manner. The object of a reliability evaluation is to derive suitable measures, criteria, and indices of reliable and dependable performance based on component outage data and configuration. For evaluating generated reliability, the components of interest are the generating units and system configuration, which refer to the specific unit(s) operated to serve the present or future load. The indices used to measure the generated reliability are probabilistic estimates of the ability of a particular generation configuration to supply the load demand. These indices are better understood as an assessment of system-wide generation adequacy and not as absolute measures of system reliability. The indices are sensitive to basic factors like unit size and unit availability and are most useful when comparing the relative reliability of different generation configurations. The system is deemed to operate successfully if there is enough generation capacity (adequate reserve) to satisfy the peak load (maximum demand). Firstly, generation model and load model are convolved (mutually combined) to yield the risk of supply shortages in the system. Secondly, probabilistic estimates of shortage risk are used as indices of bulk power system reliability evaluation for the considered configuration.",book:{id:"7687",slug:"reliability-and-maintenance-an-overview-of-cases",title:"Reliability and Maintenance",fullTitle:"Reliability and Maintenance - An Overview of Cases"},signatures:"Abdullah M. Al-Shaalan",authors:[{id:"274935",title:"Prof.",name:"Abdullah",middleName:"Mohammed",surname:"Al-Shaalan",slug:"abdullah-al-shaalan",fullName:"Abdullah Al-Shaalan"}]}],mostDownloadedChaptersLast30Days:[{id:"50094",title:"Reliability of Systems",slug:"reliability-of-systems",totalDownloads:3451,totalCrossrefCites:1,totalDimensionsCites:0,abstract:"Many objects consist of more components. The mutual arrangement of the individual elements influences the resultant reliability. The formulae are shown for the resultant reliability of series arrangement, as well as for parallel and combined arrangement. The possibility of reliability increasing by means of redundancy is explained, and also the principle of optimal allocation of reliabilities to individual elements. Everything is illustrated on examples.",book:{id:"5317",slug:"concise-reliability-for-engineers",title:"Concise Reliability for Engineers",fullTitle:"Concise Reliability for Engineers"},signatures:"Jaroslav Menčík",authors:[{id:"142710",title:"Prof.",name:"Jaroslav",middleName:null,surname:"Menčík",slug:"jaroslav-mencik",fullName:"Jaroslav Menčík"}]},{id:"50095",title:"Time to Failure of Deteriorating Objects",slug:"time-to-failure-of-deteriorating-objects",totalDownloads:1690,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter explains the prediction of the time to failure in the following cases: fatigue of metallic components under cyclic loading or in the presence of cracks, static fatigue, wear and creep, variable loading (damage accumulation). Prediction of the time to failure based on monitoring of the changing response. Probabilistic aspects of the lifetime prediction. The determination of the time to failure is illustrated on examples.",book:{id:"5317",slug:"concise-reliability-for-engineers",title:"Concise Reliability for Engineers",fullTitle:"Concise Reliability for Engineers"},signatures:"Jaroslav Menčík",authors:[{id:"142710",title:"Prof.",name:"Jaroslav",middleName:null,surname:"Menčík",slug:"jaroslav-mencik",fullName:"Jaroslav Menčík"}]},{id:"66913",title:"Reliability Evaluation of Power Systems",slug:"reliability-evaluation-of-power-systems",totalDownloads:2014,totalCrossrefCites:3,totalDimensionsCites:6,abstract:"Reliability evaluation of electric power systems is an essential and vital issue in the planning, designing, and operation of power systems. An electric power system consists of a set of components interconnected with each other in some purposeful and meaningful manner. The object of a reliability evaluation is to derive suitable measures, criteria, and indices of reliable and dependable performance based on component outage data and configuration. For evaluating generated reliability, the components of interest are the generating units and system configuration, which refer to the specific unit(s) operated to serve the present or future load. The indices used to measure the generated reliability are probabilistic estimates of the ability of a particular generation configuration to supply the load demand. These indices are better understood as an assessment of system-wide generation adequacy and not as absolute measures of system reliability. The indices are sensitive to basic factors like unit size and unit availability and are most useful when comparing the relative reliability of different generation configurations. The system is deemed to operate successfully if there is enough generation capacity (adequate reserve) to satisfy the peak load (maximum demand). Firstly, generation model and load model are convolved (mutually combined) to yield the risk of supply shortages in the system. Secondly, probabilistic estimates of shortage risk are used as indices of bulk power system reliability evaluation for the considered configuration.",book:{id:"7687",slug:"reliability-and-maintenance-an-overview-of-cases",title:"Reliability and Maintenance",fullTitle:"Reliability and Maintenance - An Overview of Cases"},signatures:"Abdullah M. Al-Shaalan",authors:[{id:"274935",title:"Prof.",name:"Abdullah",middleName:"Mohammed",surname:"Al-Shaalan",slug:"abdullah-al-shaalan",fullName:"Abdullah Al-Shaalan"}]},{id:"58172",title:"X-Ray Techniques",slug:"x-ray-techniques",totalDownloads:2443,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"This chapter reviewed existing X-ray techniques that can be used for the analysis of materials, inclusive of those used as engineering and structural components. These techniques are X-ray fluorescence (XRF) spectrometry, proton-induced X-ray emission (PIXE) spectrometry, and X-ray diffraction (XRD). These analytical techniques provide qualitative and quantitative information on the composition and structure of materials with precision. XRD gives information on the crystalline forms and amorphous content of materials, which could be quite useful in failure analysis if the type of failure brings about morphological changes in the material under investigation. PIXE and XRF provide information on the types of elements present in a sample material and their concentrations. PIXE is however preferable to XRF due to its higher sensitivity to trace elements and lower atomic number elements as well as its faster analysis. XRF and XRD are more commonly used than PIXE which is a powerful, high-tech method that is relatively new in the field of chemical research. In this chapter, the theory and principles of these analytical techniques are explained, and diagrams showing the components of spectrometers and diffractometers are provided with descriptions of how they function.",book:{id:"5720",slug:"failure-analysis-and-prevention",title:"Failure Analysis and Prevention",fullTitle:"Failure Analysis and Prevention"},signatures:"Clementina Dilim Igwebike-Ossi",authors:[{id:"219931",title:"Dr.",name:"Clementina",middleName:null,surname:"Igwebike-Ossi",slug:"clementina-igwebike-ossi",fullName:"Clementina Igwebike-Ossi"}]},{id:"57936",title:"Power System Reliability: Mathematical Models and Applications",slug:"power-system-reliability-mathematical-models-and-applications",totalDownloads:2799,totalCrossrefCites:5,totalDimensionsCites:10,abstract:"This chapter deals with power systems reliability including technical, economical, and decisional aspects. Knowing that almost 90% of failures occur in the distribution systems, great interest was dedicated to this part of the system, and the first work was oriented to reliability indices defined as objectives to attempt and as performance measures in the electricity market. Some works deal with the managers’ behavior, and the customers reactions are modeled using economic criteria in uncertain future and inspired from game theory. When studying components, degradation models were introduced and combined with the effects of socks to study the reliability changing during system operation. In some works, the correlation between maintenance policies and reliability aspects was highlighted. In a recent work, considering the importance of new technologies integration and renewable energy insertion to power systems, it was revealed that reliability aspects and energy sustainability are two fundamental issues of progress in a given society.",book:{id:"6024",slug:"system-reliability",title:"System Reliability",fullTitle:"System Reliability"},signatures:"Rabah Medjoudj, Hassiba Bediaf and Djamil Aissani",authors:[{id:"182165",title:"Dr.",name:"Rabah",middleName:null,surname:"Medjoudj",slug:"rabah-medjoudj",fullName:"Rabah Medjoudj"},{id:"182167",title:"Prof.",name:"Djamil",middleName:null,surname:"Aissani",slug:"djamil-aissani",fullName:"Djamil Aissani"},{id:"208149",title:"Ms.",name:"Hassiba",middleName:null,surname:"Bediaf",slug:"hassiba-bediaf",fullName:"Hassiba Bediaf"}]}],onlineFirstChaptersFilter:{topicId:"123",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,annualVolume:11418,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,annualVolume:11419,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,annualVolume:11421,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,annualVolume:11422,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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He received his Ph.D. in Molecular Biology with his thesis “Genetic variability of the tick-borne encephalitis virus in natural foci of Novosibirsk city and its suburbs.” His primary field is molecular virology with research emphasis on vector-borne viruses, especially tick-borne encephalitis virus, Kemerovo virus and Omsk hemorrhagic fever virus, rabies virus, molecular genetics, biology, and epidemiology of virus pathogens.",institutionString:"Russian Academy of Sciences",institution:{name:"Russian Academy of Sciences",country:{name:"Russia"}}},{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/310962/images/system/310962.jpg",biography:"Amlan K. Patra, FRSB, obtained a Ph.D. in Animal Nutrition from Indian Veterinary Research Institute, India, in 2002. He is currently an associate professor at West Bengal University of Animal and Fishery Sciences. He has more than twenty years of research and teaching experience. He held previous positions at the American Institute for Goat Research, The Ohio State University, Columbus, USA, and Free University of Berlin, Germany. His research focuses on animal nutrition, particularly ruminants and poultry nutrition, gastrointestinal electrophysiology, meta-analysis and modeling in nutrition, and livestock–environment interaction. He has authored around 175 articles in journals, book chapters, and proceedings. Dr. Patra serves on the editorial boards of several reputed journals.",institutionString:null,institution:{name:"West Bengal University of Animal and Fishery Sciences",country:{name:"India"}}},{id:"53998",title:"Prof.",name:"László",middleName:null,surname:"Babinszky",slug:"laszlo-babinszky",fullName:"László Babinszky",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/53998/images/system/53998.png",biography:"László Babinszky is Professor Emeritus, Department of Animal Nutrition Physiology, University of Debrecen, Hungary. He has also worked in the Department of Animal Nutrition, University of Wageningen, Netherlands; the Institute for Livestock Feeding and Nutrition (IVVO), Lelystad, Netherlands; the Agricultural University of Vienna (BOKU); the Institute for Animal Breeding and Nutrition, Austria; and the Oscar Kellner Research Institute for Animal Nutrition, Rostock, Germany. In 1992, Dr. Babinszky obtained a Ph.D. in Animal Nutrition from the University of Wageningen. His main research areas are swine and poultry nutrition. He has authored more than 300 publications (papers, book chapters) and edited four books and fourteen international conference proceedings.",institutionString:"University of Debrecen",institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"201830",title:"Dr.",name:"Fernando",middleName:"Sanchez",surname:"Davila",slug:"fernando-davila",fullName:"Fernando Davila",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201830/images/5017_n.jpg",biography:"I am a professor at UANL since 1988. My research lines are the development of reproductive techniques in small ruminants. We also conducted research on sexual and social behavior in males.\nI am Mexican and study my professional career as an engineer in agriculture and animal science at UANL. Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. He works as a Senior Clinician at the Veterinary Teaching Hospital of UTAD (HVUTAD) with a role in clinical activity in the area of livestock and equine species as well as to support teaching and research in related areas. He teaches as an Invited Professor in Reproduction Medicine I and II of the Master\\'s in Veterinary Medicine degree at UTAD. Currently, he holds the position of Chairman of the Portuguese Buiatrics Association. He is a member of the Consultive Group on Production Animals of the OMV. He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. She has experience in analyzing zootechnical indices in dairy cattle and organizing events related to Veterinary Medicine through extension grants. I have experience in the field of diagnostic imaging and animal reproduction in veterinary medicine through monitoring and scientific initiation scholarships. I worked at the Equus Central Reproduction Equine located in Santo Antônio de Jesus – BA in the 2016/2017 breeding season. I am currently a doctoral student with a scholarship from CAPES of the Postgraduate Program in Veterinary Medicine (Pathology and Clinical Sciences) at the Federal Rural University of Rio de Janeiro (UFRRJ) with a research project with an emphasis on equine endometritis.",institutionString:null,institution:null},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"208123",title:"Dr.",name:"Mari-Carmen",middleName:null,surname:"Uribe",slug:"mari-carmen-uribe",fullName:"Mari-Carmen Uribe",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"345713",title:"Dr.",name:"Csaba",middleName:null,surname:"Szabó",slug:"csaba-szabo",fullName:"Csaba Szabó",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"345719",title:"Mrs.",name:"Márta",middleName:null,surname:"Horváth",slug:"marta-horvath",fullName:"Márta Horváth",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"420151",title:"Prof.",name:"Novirman",middleName:null,surname:"Jamarun",slug:"novirman-jamarun",fullName:"Novirman Jamarun",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Andalas University",country:{name:"Indonesia"}}}]}},subseries:{item:{id:"15",type:"subseries",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11411,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. 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We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression"},{id:"15",title:"Chemical Biology",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors"},{id:"17",title:"Metabolism",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation"},{id:"18",title:"Proteomics",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/327485",hash:"",query:{},params:{id:"327485"},fullPath:"/profiles/327485",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)}()