Animal models of LVNC.
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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"79211",title:"Left Ventricular Noncompaction Cardiomyopathy: From Clinical Features to Animal Modeling",doi:"10.5772/intechopen.101085",slug:"left-ventricular-noncompaction-cardiomyopathy-from-clinical-features-to-animal-modeling",body:'Left ventricular noncompaction (LVNC) is a unique form of cardiomyopathy that is distinguished by a distinctive (“spongy”) morphological appearance of the left ventricle (LV) myocardium [1]. This “spongy” appearance encompasses hypertrabeculation, deep intertrabecular recesses or sinusoids, and a bilayered ventricular myocardium with a noncompacted endocardium and compacted epicardium [2]. Although LVNC is rare, the prevalence of LVNC is reported to be <0.3% in adults and < 0.0001% in children. It is the third most common form of inherited cardiomyopathies and accounts for 9% of all pediatric cardiomyopathy cases [3]. Prevalence was reported as 0.014–1.3% in adult patients who underwent echocardiography. In heart failure patients, the prevalence of LVNC is estimated at 3–4% [4]. LVNC is characterized as genetic, primary cardiomyopathy by the 2006 American Heart Association classification model, whereas the European Society of Cardiology has not classified LVNC as distinct cardiomyopathy due to its phenotypic heterogeneity [5, 6].
Clinical presentation of LVNC is variable, and Towbin et al. have described nine distinct subtypes: 1) benign, 2) arrhythmogenic, 3) dilated, 4) hypertrophic, 5) mixed hypertrophic and dilated, 6) restrictive, 7) right ventricular with the normal left ventricle, 8) biventricular, and 9) associated with congenital heart disease [7]. Some of the LVNC phenotypes are shown in Figure 1. Complications of LVNC include chronic heart failure, arrhythmias, cardioembolism, chest pain, dyspnea, syncope, myocardial infarction, and sudden cardiac death (SCD) [8]. Patients with LVNC associated with neuromuscular disease may present with exercise intolerance, fatigue, muscle pain, muscle stiffness, and muscle weakness. Heart failure associated with LVNC is often due to either systolic or diastolic ventricular dysfunction. Electrocardiogram (ECG) abnormalities are very common (88–94% and 88%, respectively) in both adult and pediatric cases. Common arrhythmias are atrial fibrillation, atrial flutter, paroxysmal supraventricular tachycardia, and atrioventricular block. Heart failure and arrhythmias are the greatest cause of concern for mortality in LVNC patients [9].
Echocardiographic images of heterogeneous forms of left ventricular noncompaction phenotype. A. Parasternal short-axis view of a dilated form of LVNC with trabeculations noted at the apex. B. An apical 4-chamber view with trabeculations noted at the right side of the image. C-G, Heterogeneous phenotypes associated with LVNC. LVNC with normal LV size, thickness, and function (C), dilated form of LVNC (D), hypertrophic form of LVNC (E), restrictive form of LVNC (F), biventricular LVNC (G). LV, left ventricle; RV, right ventricle; LA, left atrium, RA, right atrium.
The etiology, pathogenesis, and natural history of LVNC are not clearly understood. The genetic causes of LVNC are heterogeneous [10, 11], involving final common pathways initiated by primary (the sarcomere) and developmental (NOTCH pathway) genetic abnormalities, often
The underlying mechanisms for LVNC remain largely unknown, but many studies associate it with the failure of compaction of trabecular myocardium during embryogenesis [16]. The development of the functionally competent, compacted, and multilayered myocardial wall is a two-part process consisting of trabeculation followed by a compaction process set at the midgestational period of cardiogenesis [17]. When the myocardial spiral system enfolds, myocyte recruitment and proliferation lead to myocardial maturation with the development of protrusions into the lumen. Endocardial cells invaginate, and cardiomyocytes in specific regions along the inner wall of the heart form sheet-like protrusions into the lumen to give rise to the trabecular myocardium [16]. The intertrabecular recesses communicate with the blood-filled cavity of the heart tube to increase the surface area for gas exchange and blood. This mechanism favors the concomitant increase in myocardial mass despite the absence of a distinct epicardial coronary circulation [18].
The trabecular myocardium starts undergoing compaction between weeks 5 and 8 of human embryonic development and coincides with the invasion of the developing coronary vasculature from the epicardium. Compaction is gradual, from the epicardial to the endocardial surface and from the basal segments of the ventricle moving toward the apex [19]. Vascular endothelial growth factor (VEGF) and angiopoietin-1 may be involved with triggering compaction [2]. As a result of the compaction process, the intertrabecular recesses disappear almost entirely leaving a smooth endocardial ventricular surface. Compaction is more pronounced in the LV than in the right ventricle (RV), therefore the RV endomyocardial surface is more heavily trabeculated (Figure 2) [19]. On the other hand, noncompaction indicates failure of compact myocardium formation, leaving spongy myocardium and deep intertrabecular recesses [20].
Gross morphopathologic appearance of LVNC. a. Heart from a individual with left ventricular noncompaction. Note the spongy appearance of the ventricular wall, caused by ‘holes’ in the myocardium, which represent deep trabeculations. The heart is thick and has a dilated chamber (that is, hypertrophic and dilated). In life this ventricle functioned poorly. LV, left ventricle; LVNC, trabeculations of left ventricular noncompaction. b. Numerous excessive prominent trabeculations and deep intertrabecular recesses is noted by arrows. The trabecular zone (noncompacted layer, X) in the LV is at least twice thick as the compact layer (Y) of the ventricular wall. (Adopted from Towbin and Bowles, Nature 415, 227–233. 2002).
While the etiology of LVNC is not clearly understood, it is largely considered that hypertrabeculation or noncompaction in LVNC has a genetic origin with typically autosomal dominant inheritance if the implicated genes encode components of the sarcomere, Z-disc, or cytoskeleton [21]. Autosomal recessive, X-linked, and mitochondrial inheritance patterns have also been found [3, 22]. One large retrospective multicenter study showed that nearly one-third of the LVNC patients had genetic variants in at least one cardiomyopathy-causative gene [14]. LVNC has also been reported in many complex syndromes [23, 24] and neuromuscular disorders [25, 26, 27]. LVNC can also be considered congenital or acquired, and several hypotheses have been proposed for the development of LVNC [28]. The primary hypothesis for congenital LVNC is the embryonic hypothesis, which attributes the hypertrabeculation of LVNC to the arrest in normal ventricular compaction during myocardial embryogenesis [29]. The etiology of LVNC can be described as having two components, congenital and modifier factors.
Genetically, LVNC is heterogeneous and has been associated with chromosomal defects and genetic mutations in myosin heavy chain 7 (
The causal nature of genetic defects is further complicated by the overlap of genetic mutations in distinct cardiomyopathies. LVNC can be categorized based on its association with dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), and other forms of heart muscle disease. Using next-generation sequencing, several groups revealed a wide range of pathogenic variants in LVNC patients and an association between pathogenic variants and poor prognoses, especially in those patients harboring multiple pathogenic variants [10, 11, 37, 38]. Variants in
The embryonic hypothesis does not explain acquired LVNC that presents after birth, some forms of which are potentially reversible. Acquired LVNC, has been identified in athletes, pregnant women, and patients with sickle cell anemia, myopathies, and chronic renal failure [50]. The etiology of acquired LVNC is merely speculative. One such hypothesis argues that mild LVNC can remain undetected until transient LV dilation allows LVNC to become visible under precise and accurate imaging [51]. It is also speculated that acquired LVNC may be due to cardiac remodeling from increased preload and altered hemodynamics [29]. Ventricular trabeculation in athletes, particularly in the LV apex, allows for increased compliance which reduces wall stress and strain [52]. Given the high risk of possible cardiac embolic events from thrombus formation in the intertrabecular recesses, clinical trials for thromboembolic events in isolated LVNC have been suggested [53, 54, 55].
The clinical manifestations of LVNC vary widely, including no symptoms, thromboembolic events (ventricular or systemic arterial), LV dilation, impaired contractility with heart failure leading to pulmonary edema, arrhythmia including ventricular tachycardia and atrial fibrillation, and sudden cardiac death. Patients with neuromuscular disorder and LVNC may present with elevation in muscle form of creatine kinase, CK-MM (creatine kinase, muscle isoform) consistent with skeletal myopathy [7].
Echocardiography is the first-line diagnostic routine and an accessible technique to detect abnormal trabeculations or a “spongy” appearance of the myocardium. Several diagnostic criteria have been developed to define LVNC through echocardiographic analysis. A ratio of >2:1 in thickness of noncompacted to compacted layers during diastole is deemed diagnostic for LVNC [56, 57]. Compared with echocardiography, cardiac magnetic resonance (CMR) imaging offers more in-depth anatomic and functional features of the noncompacted myocardium. Late gadolinium enhancement specifically provides detection of cardiac fibrosis. CMR criteria developed by Petersen et al. to accurately diagnose pathologic noncompaction is based on a noncompaction to compaction ratio at end-diastole of >2.3 [58]. Quantitative CMR criteria by Jacquier
Genetic testing in patients with LVNC and family members has been important in identifying genetic causes of cardiac dysfunction. Testing can be done on genes known to be associated with LVNC and other forms of cardiomyopathy as well as genes involved in syndromic diseases such as metabolic abnormalities, mitochondrial dysfunction, Barth syndrome, and storage diseases. Identification of pathogenic variants in probands and family members can be followed by segregation studies in the family [15].
Treatment strategy in LVNC depends on clinical presentations and complications, and clinical needs are managed according to corresponding guidelines [62]. The key targets of clinical management are the treatment of heart failure (including beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin-II receptor blockers, aldosterone antagonists, diuretics, and heart transplantation), arrhythmias (including ablation and implantation of an implantable cardioverter-defibrillator in patients with life-threatening events), and oral anticoagulation. In patients with congenital heart disease and LVNC, surgery for the congenital abnormalities takes precedence when feasible. In many cases, palliative surgery ultimately fails because of the myocardial abnormality, and cardiac transplantation is required [63].
LVNC is an overlap disorder and it appears that any of these “final common pathways” can be involved depending on the specific form of LVNC [64]. Combining information about disease-causing genes with murine models is crucial in identifying pathways involved in ventricular noncompaction. For instance, Barth syndrome is caused by tafazzin mutations, and tafazzin knockdown mice were engineered using a short-hairpin RNA-inducible transgenic approach. These mice demonstrated hypertrabeculation and noncompaction, and the knockdown mice died prenatally at E12.5–14.5 [65]. New powerful cutting-edge gene-editing technologies using transcription activator-like effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeats-CRISPR-associated protein 9 (CRISPR-Cas9) have been used for modeling LVNC [66, 67, 68, 69]. Patient-specific induced pluripotent stem cells (iPSCs) derived cardiomyocytes have emerged as a useful tool for investigating pathological mechanisms of many cardiovascular diseases including LVNC [70, 71]. Several signaling pathways such as the Dll4-NOTCH [72], MIB1 [73], BMP [74], and TGF-β [71] have been demonstrated to regulate myocardial trabecular compaction as well as to be involved in the development of LVNC. While zebrafish and
Gene | Animal model | Signaling | Ref # |
---|---|---|---|
FKBP12 | KO mouse | Decrease in Notch1 activity, increase in BMP10 | [79] |
BMP10 | KO E9.0–13.5 mouse | TGF-b | [80] |
BMP10 | Overexpression adult mouse | TGF-b | [81] |
NUMB/NUMBL | Double KO mouse | Inhibition of Notch1, Smad6 and Smad7, WNT | [82] |
SMAD7 | Mutant mouse | BMP10, TGF-b | [86] |
TBX20 | Overexpression mouse | T-box family, TBX1 | [87] |
MIB1 | Mutant zebrafish | Reduces Notch1 | [89] |
MIB1 | Decifient zebrafish | Reduces Notch1 | [89] |
VEGF | Overexpression mouse | Notch1, Flk-1 | [90] |
Daam1 | Decifient mouse | PCP and WNT | [92] |
NKX2–5 | KO mouse | MEF2, HAND1, HAND2, GATA, BMP10 | [96] |
NFATC1 | Mutant mouse | NFAT | [99] |
TAZ | Inducible knockdown | Cardiolipin remodeling | [102] |
TAZ | KO mouse | Cardiolipin remodeling | [65] |
TTN | Mutant mouse | Telethonin loss | [104] |
Animal models of LVNC.
The Notch signaling pathway is a highly conserved intercellular pathway involved with multisystem differentiation. Particularly in the cardiovascular system, Notch1 mediates ventricular morphogenesis, coronary vessel development, and communication between the endocardium and myocardium for cardiomyocyte proliferation and differentiation. Mutations in the Notch signaling pathway cause congenital heart disease [77]. Mammals have Notch 1–4, a group of transmembrane receptors with an extracellular domain and an intracellular domain. The Notch extracellular domain (NECD) interacts with ligands of the Delta and Jagged family, and these receptor-ligand interactions are modulated by manic fringe (Mfng) glycosyltransferase. Delta and Jagged ligands are ubiquitinated by Mib1, an E3 ubiquitin ligase, and trigger endocytosis of the ligand. Mib1 activity exposes the receptor to ADAM metalloproteases for Notch cleavage. In response, the Notch intracellular domain (NICD) translocates to the nucleus and acts as a transcription factor. The NICD is comprised of the RBPJ domain and ANK repeats [77].
The first murine model for LVNC was the Fkbp1a (or FKBP12)-deficient mouse. Deficiency in FKBP1a, a binding protein of the immunophilin family, cause
In mouse embryogenesis, Bmp10 is transiently expressed in ventricular myocardium at E9.0–13.5 during myocardial maturation and in the atria E16.5–18.5 [74]. BMP10-deficient mice embryos appear unaffected at E8.5–9.0, arrest at E9.0–9.5, and die at E10.5. Immunostaining of mutant embryos exhibited thin ventricular walls and primitive trabecular ridges. The localization of BMP10 to the ventricular myocardium for the brief period at E9.0–13.5 suggests that BMP10 is crucial for continued myocardial development. Postnatal cardiac-specific BMP10 overexpression compromised cardiac growth, caused subaortic narrowing and concentric myocardial thickening [80]. Human atrial natriuretic factor (hANF) promoter can be used to overexpress BMP10 in mice. Overexpression of BMP10 demonstrated hypertrabeculation and severe heart failure [81]. Like in Fkbp1a-deficient mice and cardiac overexpression models, BMP10 is also upregulated in NUMB/NUMBL-deficient mice (myocardial double-knockout mice) [82]. NUMB and NUMBL proteins of the NUMB family are cell fate determinants for hemopoietic stem cells, muscle satellite cells, cancer stem cells, and hemangioblast progenitor cell types and maintain the fate of neural stem cells as well as regulate their differentiation [83]. Both NUMB and NUMBL inhibit Notch1 signaling and are crucial for trabeculation, cardiomyocyte proliferation and differentiation, and trabecular thickness [84]. On the other hand, inhibitory intracellular transducers such as Smad6 and Smad7 negatively regulate the BMP/ TGF-β signaling pathway [85]. Smad7 is expressed by endothelial cells in the major arteries in mice, and Smad7 deficiency causes increased Smad 1, 5, and 8 in the endocardial endothelium [81, 86]. Unsurprisingly, Smad7 mutant mice demonstrate ventricular noncompaction, thin ventricular walls, and ventricular septal defect. One of the key mediators of BMP10 signaling in ventricular myocardial development and maturation is TBX20, a member of the TBX1 subfamily of the T-box family transcription factors [87]. In murine embryos, Tbx20 can be detected in the cardiac precursor cells at E7·5 and the developing myocardium and endocardium at E8·0 [88]. Cardiac-specific overexpression of TBX20 results in severe DCM, ventricular hypertrabeculation, and abnormal muscular septum, consistent with the DCM type of LVNC [87].
Another Notch pathway element, Mib1, is associated with the LVNC phenotype of biventricular noncompaction with dilation and heart failure [20]. Genetic sequencing of 100 European patients revealed two autosomal dominant mutations—V943F and R530X. Injection of Mib1-mutated mRNA, corresponding to the V943F and R530X mutations, into zebrafish embryos disrupts Notch signaling [89]. Inactivation of Mib1 reduces Notch1 signaling and myocardial arrest. Mutant Mib1 mice produce an LVNC phenotype of immature trabeculae and noncompaction [89].
Vascular endothelial growth factor (VEGF) is produced by the myocardium and plays a role in endocardium-myocardium communication by binding to endocardial receptor Flk-1 [20]. Overexpression of VEGF-A in mice causes hypertrabeculation, abnormalities in cardiac morphology and coronary vessels, and embryonic lethality at E12.5–14.0 [90].
The planar cell polarity (PCP) pathway is a β-catenin-independent Wnt pathway that was first studied in
NUMB is also a component of the adherens junction by forming complexes with β-catenin to regulate cellular adhesion
The expression of early response genes in lymphocytes is regulated by NFAT transcription factors [97].
Barth syndrome is caused by mutations in the X-linked
Cytoskeletal and sarcomeric proteins encoding gene mutations have been shown to account for 20% or more of LVNC [7]. Truncating variants in
The pathogenesis of LVNC, a recently classified cardiomyopathy, remains largely unclear. With over 40 genes linked to LVNC, both genotype variation and phenotype variation are vast. Genetic testing in families and individuals with LVNC shas proved useful in identifying disease-causing variants. While the Notch signaling pathway is implicated in the pathogenesis of LVNC, there may be other pathways leading to congenital and acquired forms of LVNC. Identifying specific pathway elements is crucial for diagnosis and treatment. Modeling LVNC variants can help us to determine the genetic basis and pathogenesis of the disease.
The authors have no conflicts of interest.
Planning for resilience and enabling positive design outcomes requires combinatory methods of working with data, in order to assist decision-makers to develop evidence-based methodologies and easily communicated scenarios. To accomplish this, we need to bring together data and information sets from disparate and vastly divergent disciplines and sources. The impactful rise of technology in urban planning has allowed for the extensive integration of data analysis tools, which promote a better understanding of socioeconomic fluctuation, as well as the active involvement of users in the planning process. In this way, users can participate and impact the planning process toward outcomes, which are more appropriate to their needs [1]. Evaluating urban environments is not only important from the planners’ perspective but also has larger implications for the residents themselves. This shifts our thinking toward democratic environments, where users engage designers by expressing their preferences on how an idea could become part of their lives. This chapter aims to contribute to the discourse on user involvement in design-oriented fields, in our case, urban planning, by analyzing two different approaches of participatory design. The first approach addresses user participation as a research method or an analysis tool and the second as an urban design method. The key aspect to both approaches is open data platforms, as they allow access to the intended audience, researcher, or average user. Both approaches are presented through example case studies that are analyzed and compared based on the type of user participation, amount of user involvement, and type of context they are applied to. The two case studies represent different stages of participatory design, where the first focuses on the integration of human perspective in neighborhood evaluation and the other on active, contextualized user participation in placemaking and neighborhood reformation. Both processes address human perception as an effective means in capturing the dynamics of space, as well as a mean to drive the change itself. User participation is the agency upon which, local resilience is formed by balancing the power between stakeholders and community members. We support that user-centric approaches improve society well-being and user satisfaction, toward more democratic and sustainable urban environments.
In order to improve policy-making and the health of communities, collaborations often extend beyond the level of academic research, to that of the user level. Recent research suggests that researchers create more innovative concepts when taking advantage of user input than working purely with existing data sets. Humans are positioned as the major contributors to changing environments [2]; therefore, human factor should be addressed and included when conceptualizing urban analysis methodologies. This approach has a political dimension of user empowerment and democratization, and it is called participatory design approach. Participatory approaches link together all stakeholders (e.g. employees, researchers, customers, citizens, end users), in an attempt to improve human well-being, user satisfaction, accessibility, sustainability, and livability. As participatory processes are more and more supported by information technology, this enables both sides, users, and researches to understand and collect diverse knowledge, for example, opinions, ideas, objectives, statements, etc.; however, it increases the complexity and the handling of information when it comes to decision-making. Regarding user participation, the possibilities of digitalization should be regarded as an opportunity to accompany the social transformation toward a digital society in the information age of the twenty-first century [3]. A participatory process involves the side of the researcher or organizer and the side of the participants. In this chapter, we present two different directions of the above relationship: indirect user participation and direct user participation. In the first case, the users seek no personal interest in the process; however, they state their opinion regarding a real matter, which is proven useful in understanding urban dynamics. This process involves two stages that depict different processes. The results are then combined in a series of maps. The second case is a deliberate process in which the interested party (citizens) is involved in the policy-making toward the satisfaction of their needs. The process involves the construction of a digital platform that is user driven. This approach builds upon participatory action research by moving beyond participants’ involvement and producing solutions to problems rather than documenting the results as a resource database. Further stages may then focus on community brainstorming, modeling and prototyping, and implementation in community spaces.
Urbanism during the twentieth and beginning of twenty-first century was formed by large-scale centrally planned developments. In the 1960s until early 2000s, several urban analytics models incorporated computational tools that introduced automation and standardization, in order to visualize and understand the urban space. One of the most widespread used tools that revolutionized mapping since the 1960s was geographic information system (GIS), which enabled the association of geo-location with information. GIS systems are able to visualize time and space paths as static models using models of space and time that show the entire path within a geographic space and a fixed domain of time [4]. This has greatly lowered the cost of data accumulation and improved the accuracy of the results [5]. The main data source employed in central urban model is census data from government databases, which with the use of GIS tools can be visualized and mapped.
Central urbanism presents certain challenges, which derive from two sources: the first is related with technical aspects of data sets and data handling and the second with socioeconomical aspects that influence the fluctuation of capital and investments related to urban space and infrastructure.
Centrally planned urbanism refers mainly to the broad picture of the urban environment; as a result, it does not address local details adequately. Centralized, top-down approaches do not derive in resilient conditions as they usually favor certain economic interests. In contradiction to bottom-up approaches, central-based urbanism does not rely on evidence-based methodologies, and therefore they do not involve user participation.
In addition to the above, centralized approaches involve money-oriented developments, which do not respond to local citizens’ needs; in fact, they usually undermine them. As they largely follow the dictates of social and economic elites, they are based around uneven development and exclusion, increasing economic segregation.
Centrally planned urbanism is based on limited data sets and assumptions, which fail to address cities as arrays of social complex relations. Such assumptions engendered vehicular domination over walkability, maximized urban density, and homogenized urban districts all at the expense of residents’ quality of life. It appears that there is hardly any empirical data or residents’ input that provide insight into most central-based master plan developments. Central urban models are guided by a set of specified constraints that perform in a simplified environment disconnected from real facts; thus, they may not capture complex dynamics of socioeconomic flux. One explanation for this is the difficulty of adequately incorporating the breadth of social theory needed to account for the range of urban mechanisms. For instance, even the analysis of the relationships that occur in a park of a business district neighborhood during day and nighttime quickly becomes a complicated problem to describe through census data. These models are constrained by their inability to theoretically ground mechanisms of neighborhood change and translate them into a data set. They are limited by a lack of empirical detail, in their specifications of data attributes.
The challenges listed above derive from the fact that the processes employed mask a great deal of heterogeneity between urban areas. This resulted from deficiencies in the data sets and short time-scale of the analysis, factors that designated the low predictive capacity of the models, and the insufficiency to fully understand neighborhood dynamics, which remain ambiguous and conflicting.
As cities are becoming more instrumented and networked, more data is being generated about the urban environment and its residents, allowing urban designers to access the local scale fabric of the city, opening up new research directions for understanding the city. Going beyond traditional data sources, such as census, which is fairly static and updated only every, designers are encouraged to engage with other types of data that capture the ephemeral side, such as, people’s desires, problematic, trends, etc. It is important for designers and planners to recognize the opportunities for making better sense of public space through technology. One of the key benefits of adopting a data-driven approach to urban analytics surveys is the ability to see a combination of datasets in context with each other and to detect temporal and spatial patterns.
A new generation of researchers has been deriving evidence-based rules for urbanism, which benefits from user participation [6]. These rules replace outdated working assumptions that have created dysfunctional urban conditions. Recent methodologies in urban research validate human scale urbanism and collaborative approaches. In order to provide a better understanding of the contradictory approaches, we will list some of the main challenges of centralized urbanism. Moving beyond the form-oriented framework of centrally based urbanism, we should also refer to certain challenges that the participatory approach entails.
The growing desire of involving participants in the process represents certain challenges that need to be addressed for successful decision-making [7]. Building user participation systems in response to the complexity requires a combination of data, which is fit for use and decision support tools. We list some of the key barriers that are present in user participation approaches.
Complex data user inputs. User data inputs are usually complicated data types. For example, natural language text, descriptions, sketches are a challenge for computers to interpret and also for researchers to translate them into a binary or measurable form. This type of data is also difficult to store, categorize, and visualize in a proper way for future interpretation.
The translation of miscellaneous forms of data input is a labor intense, manual analysis and might result in potentially obscuring part of knowledge that can be drawn from the raw user data.
Ensuring that the user understands the request and is able to provide useful feedback. Abstract requests could result in user distraction, which can complicate the feedback data previously described in the first point. Moreover, researchers will need to consider that the user input should not rely heavily on the users technical skills and prior knowledge of the tools, as this would limit the target user group to a very small pool of people, which would have the expertise.
Citizens are often a resource of small-scale ideas that could improve the livability of their immediate environment. However, it is hard for local people to coordinate and produce visualized results that they could communicate with the authorities. Even so, such proposals are likely to be discarded as they do not represent the stakeholders’ benefits and moreover, large-scale developers make it impossible for citizens to have any influence in urban development.
Based on the above, opening a channel for sharing knowledge and opinions is not necessarily sufficient for building a system that takes the most advantage of user input. The objective is to achieve a balanced relationship between extensive information and clarity, in order to ensure that all the data and their interconnections are handled to their entirety. We need to build human-computer interaction in a way that it facilitates user orientation and comprehension of the framework, defines the scopes of the user and the researcher, and translates the user input into a quantifiable entity. Therefore, we refer to a software workflow/application that ingrates user input in a form of binary data that can be easily quantified, categorized, and visualized. To avoid oversimplification of the process, the insight of the researcher is crucial, in order to extract valuable, subjective information in a simple format.
The first example is a mapping process of the gentrification and displacement rate and livability levels in the neighborhoods of Oakland in the San Francisco Bay Area. Before analyzing the methodology of the example, we should first understand the notions of neighborhood and gentrification as addressed in this chapter, which will provide clarity regarding the reasoning behind the example methodology.
The neighborhood is often understood as the physical building block of the city for both social and political organization [8] and thus combines physical and nonphysical characteristics. Early scholars have described neighborhoods as defined, closed ecosystems, characterized only by their physical elements, such as size, density, demographics, etc. that would get disrupted by external factors, such as new residents. Moreover, neighborhood change has been regarded as a natural process of population relocation and competition for space, until a state of equilibrium could be reestablished. Based on these ideas, neighborhoods were presented as a deterministic model and categorized based on simplified criteria such as their residents’ financial status, etc. However, neighborhoods are not introverted, autonomous clusters, and the mechanisms of neighborhood change do not rely on exclusively external factors. According to Jacobs [1], nowadays, people identify a neighborhood by a landmark in the city because it has become intimate from daily use or encounter. The key that creates the notion of a neighborhood is diversity and identity. She argues that people tend to avoid visiting places that do not represent any variation either in function or esthetics [1]. Although the modern way of living has urged people to be more mobile than previously, people tend to pay attention to district that surrounds their home if it meets the certain criteria that fit their lifestyle. The stability of a neighborhood relies on its capacity to absorb opportunities and sustain its diverse character. In this paper, the term neighborhood can be described as an instance of organized complexity [1].
The notion of gentrification can be described as one category of neighborhood change and is broadly defined as the process of improving and renovating previously deteriorated neighborhoods by the middle or upper class, often by displacing low-income families and small businesses. The first documented use of the term “gentrification” [9] describes the influx of a “gentry” in lower income neighborhoods. Owens identifies nine different types of neighborhoods that are experiencing upgrading: minority urban neighborhoods, affluent neighborhoods, diverse urban neighborhoods, no population neighborhoods, new white suburbs, upper middle-class white suburbs, booming suburbs, and Hispanic enclave neighborhoods [10]. Gentrification does not only rely on a singular cause, as it may emerge when more than one condition is present. It is a complicated process that does not rely on binary and linear explanations. Early studies identified two main categories that cause gentrification: private capital investment for profit-seeking and people flow that refers to individual lifestyle preferences [11]. Gentrification does not necessarily result in negative effects, as it can also operate as a tool for revitalization. When revitalization occurs from existing residents, who seek to improve their neighborhood conditions, the result can be constructive in enforcing the neighborhood stability. This condition is called incumbent upgrading or “unslumming’ as Jacobs [1] defines it. However, when revitalization causes the displacement of current residents and a decline in neighborhood diversity, then neighborhoods gradually become segregated by income, due in part to macrolevel increases in income inequality as well as decline of job opportunities. Hence, neighborhood stability is compromised because the opportunities have been narrowed down to a very limited range of financial status and lifestyle. Displacement, however, is identified as the biggest negative impact of concern resulting from neighborhood revitalization and gentrification. Displacement occurs when any household is forced to move from its residence, usually because of eviction and unaffordable rent increase [12]. However, tracking unwilling displacement can be challenging to categorize, as researchers have faced limitations regarding data availability and data comprehension.
In this case study, we carefully selected and analyzed the various, specific data sets that relate to gentrification and are associated with livability, from authoritative census data categories, such as income, crime, education level, employment rate, urban infrastructure, etc. to more ephemeral and subjective data classifications related to human perception and user input. In order to go beyond the conventions in understanding the dynamics that drive socioeconomic phenomena and construct lived space, we attempted to implement methods that although they are considered disassociated with urban analytics, they offer a strong potential in contributing to this study as it will be analyzed in detail in the following paragraphs.
This case study involves three methods of data accumulation and analysis; the first method is a preliminary census data classification of key GIS data sets that are available from the government and other certified public resources. The second method uses data resources that derive from open data platforms (data that is freely accessible), such as Google API, Google Places, and collective, open-data platforms where users post all kinds of requests (sell and buy, real estate, etc.), such as “craigslist.org”, while the third uses human perception and subjectivity as a qualitative source of data that can unveil qualities that could not appear otherwise and enrich the outcome with a diverse layer of data. This enrichment leads to a more informed decision-making and a more qualitative image of the city that reflects subjective aspects of urban planning [13].
Although the methods differ significantly in the types and source of data being used, it is important to mention that each perspective provides a different lens through which to view transition toward more or less livable and gentrified environments. The data sets collected from the three methods operate at different scales, some at urban scale for the entire San Francisco Bay Area, some at neighborhood scale, and some at street level scale. Each method presents certain advantages and altogether provide a calibrated understanding of the multiple grains of constructed space through top-down and bottom-up methods, as well as to offer a tool of visualizing dynamical characteristics of the urban environment. For example, using a human-based perspective alone may lead us to commit to something, which is entirely subjective, by ignoring holistic factors that emerge at aggregate levels and vice versa. The census data analysis provides an overview of the context over a significant time span (2000–2012) and helps us understand major socioeconomic shifts that affect tenure, which then affects the local market and the standards of living in the area in terms of public infrastructure. The open data analysis depicts the ephemeral layer of relationships that take place in the urban environment, which is impossible to be described by authoritative data; however, it is more relevant to the actual conditions, revealing virtual changes and dynamics for the near future. The third method enriches the process with user personal feedback about ranking the environment of a neighborhood as it currently stands.
Across all three studies, the data has been visualized based on a few basic rules. Changes of degree in a factor are displayed with a gradient of the same color, changes of type are displayed with different colors, and the general vocabulary of visual styles is communicated with dots, lines, and areas [14]. The tools used for the data visualization are “Microsoft Excel” for calculation of delta, median, and average values, “Grasshopper” for processing data input in “.json,” “.csv,” or “.shp” file formats, “Rhinoceros” for processing the output data from “Grasshopper,” “Processing” as a geo-located three-dimensional virtual space, where multiple data sets can be displayed and overlaid at the same time, in order to assess their relationship and “Adobe Suite” for final printed output.
The initial method, which defines the preliminary step of the research, refers to the use of GIS census data analytics. This method aims to depict the urban areas that have undergone changes on authoritative parameters that are associated with the phenomenon of gentrification, such as tenure status, median household income, land value, and employment rate. Moreover, this method queries the livability levels based on parameters related to public infrastructure and the urban quality, such as pedestrian network continuity and status, transportation, walkability, and car dependency street trees and parks, schools, education points, medical and religious spaces. The objective of these data sets integration is to assess whether the built environment is evolving toward an equal state of services and other opportunities or in favor of certain socioeconomic groups over others.
The “Geographic Information System”, or GIS, tools enable the accelerated gathering of data sets of multiple categories. As this method focuses solely on census data and basic population characteristics, the data sets that are useful to the execution of the survey are population, median household income, level of education, transport network, and infrastructure.
Initially, the survey began with a high-level analysis of the San Francisco Bay Area natural morphology and broad population characteristics; therefore, the first data sets that were visualized were green areas, wetlands, urban areas, total population, and land value (Figure 1). Before analyzing more thoroughly the city of San Francisco, we collected some data related to the homeless population community in the city as it is a very apparent phenomenon that appears to be getting aggravated. As the core of the research is focused on depicting and tracing the dynamics of gentrification, we believe that information associated with the homeless population community and then compared with the census data regarding tenure status and land value could provide useful insight (Figure 1).
Geo-located 3D space in the software processing. Natural elements and census data for San Francisco Bay Area. Public resources for homeless population for the city of San Francisco (figure was created by the author) [
The second stage of the survey focused solely in the county of San Francisco, as it was considered a suitable context to trace the main changes in demographic characteristics. The data sets that were visualized at this stage of the survey were the range of household income, range of home value, owner-occupied housing, vacant lots, and the ratio of unemployed population against the total population (Figure 2). Green areas in the San Francisco Bay Area that are accessible to the public, such as parks, plazas, etc, were excluded from the calculation as they do not relate to the targeted data sets, and they would have affected the results of the survey.
Census data for the city of San Francisco, total population, income, vacant housing, home value, unemployed population (figure was created by the author) [
Although the previously described survey did reveal information on the transition of some neighborhoods in San Francisco, at the next stage of the research, it became apparent that the most applicable scale for census data display would be that of the entire San Francisco Bay Area. The reason for this is that census data has low spatial resolution and therefore refers to large-scale surveys. Hence, the data was recollected for the San Francisco Bay. The census data collected consists of data sets that range from 2000 to 2012 and is related to tenure status, median household income, median home value, and employment rate. For every data set of the above, we calculated the delta value (amount of change or difference) between the years 2000 and 2012 and remapped the values to a numerical range between 0 and 1, which corresponded to a gray scale ranges from white (255, 255, 255) to black (0, 0, 0). White color represents no change, whereas black color represents the highest amount of change. The delta value was plotted in the context of San Francisco Bay Area, and the result is four maps, each for one data set. The four maps, which derived from the process described above, represent the amount of change in tenure, median household income, median home value, and employment rate were weighted and integrated into a single map that represents the amount of change of all four data sets (Figure 3).
San Francisco Bay Area, census GIS data comparison of tenure, median household income, median home value, and employment rate from 2000 to 2012 overlapped with artists’ employment rate (figure was created by the author) [
In addition to the data sets related to tenure status, we included the census data of artists’ employment rate as it is considered a key indicator of the early stages of a gentrification process. Surveys in the field of urban renovation have established the artists community as an agent of urban gentrification, for the reason that low-income artists tend to revalorize unproductive spaces because they are affordable and, as a result, increase the attractiveness of the neighborhood. Artists make the first move into post-industrial, post-welfare neighborhoods, and soon they attract the hipster movement before, eventually, being displaced by them and their new middle-class neighbors. Both participate in the cycle of exploring, developing new potential sites for capital investment. Hence, the combined data set of the four census categories is overlapped with artists’ employment rate census data set (Figure 4). Regarding the services that are directly related to the urban quality, such as accidents and pedestrian network continuity and status, transportation, walkability, and car dependency street trees and parks, schools, education points, medical and religious spaces, the data sets are divided in two categories. The first depicts amenities such as access to education, religion, health, and green areas, as well as the street trees that definitely improve the urban environment in terms of walkability, microclimate, and aesthetic. The second depicts car dependency zones, reported car injuries location, pavement condition, and parking spaces (Figures 5–7). The source of the data sets mentioned above was mainly government websites, and the data were provided in.csv format. Data were imported to Microsoft Excel, in order to calculate and process the key indicators that derive from more than one data set and the delta values from the comparison of the data set over a period of time. After the calculation, the information was then imported in grasshopper and processing for visualization in context, as a series of maps.
San Francisco Bay Area, census GIS data comparison from 2000 to 2012 overlapped with businesses related to artists from Google places (figure was created by the author) [
Oakland green areas, street trees, transport, and education (figure was created by the author) [
Oakland, quality of pedestrian network, pavement condition, injuries, and parking spaces (figure was created by the author) [
Oakland, walkability, and car dependency (figure was created by the author) [
The database is articulated by tracing certain populations and services categories that reflect activity and flux of the built environment. The targeted data sets involve artists and their recent activity in Oakland, industrial buildings, loft residencies, yoga and fitness studios, fashionable cafes, as well as crime reports from 2010 to 2013 (Figures 8 and 9). The data accumulation derives from open data platforms by defining an equivalent keyword query. The artist population is considered as the frontline of gentrification [2]; therefore, tracing their activity would provide useful insight, combined with a survey on loft residencies, which usually attract the artist community and on certain amenities that appeal to the same target group. The survey on industrial buildings helps in the formation of a forecast model of potential transformation of industrial building envelopes to loft residencies. The chosen data sets describe adequately the artists community in the sense that it is commonly known that upcoming artists are mostly freelancers or seeking for a job, and in order to settle their studio, exhibition space, etc, they actively pursue real state, as well as specific lifestyle preferences. This activity regarding real estate hunting cannot be described by census data, simply because it is volatile and constantly shifting. Methods that employ open data platforms such as Google Places and “craigslist.org,” however, can capture the activity of such groups very accurately as every activity is geo-located. The key difference between the census data analysis and this method is that the data derives from open-data platforms by defining a key word query. Despite the fact that the two methods are referring to the same target group, in this case, artists, the data are a result of a significantly different process and source. The open-data method, using Google API and “craigslist.org,” involved multiple requests at a daily basis, in order to collect all the necessary data. The keyword queries were related to temporal requests and offers regarding real estate for artists’ studios, gallery spaces, events, artists’ resources, artwork sale, exhibitions, FAQ , etc. The second set includes crime reports posted from civilians for the years 2010 and 2013, depicting a significant decrease in reported crimes during that period. The data accumulated was formatted in.csv format and visualized as nodes on the same context (Figures 8 and 10).
Oakland crime reports, 2010 (left), Oakland crime reports 2013 (right) (figure was created by the author) [
Oakland, industrial buildings, lofts/luxury residence, businesses related to artists, yoga and fitness studios, fashionable cafes (figure was created by the author) [
Oakland, industrial buildings, lofts/luxury residence, businesses related to artists overlaid with Amazon Mechanical Turk Delta between infrastructure condition and safety (figure was created by the author) [
The second method involves a human-based approach, as a crowdsourcing process. In this method, the crowdsourcing process was achieved via a human-based outsourcing platform called “Amazon Mechanical Turk.” The “Amazon Mechanical Turk” platform is a crowdsourcing Internet marketplace, operated by “Amazon,” which enables individuals to coordinate the use of human intelligence and perform tasks that computers are currently unable to perform successfully. It is an on-demand sample of users that executes simple assignments over an agreed period of time. The “Amazon Mechanical Turk” can be associated with the term “Human Computing.”
Initially, and in order to test the feasibility of this method, we processed only few blocks in Emeryville, Oakland, and the questions posted to Amazon Mechanical Turk were very simple and required identification of certain elements and whether they appear in the images. Example elements that were queried are bicycles, lofts, abandoned buildings, and industrial buildings (Figure 11). In the next stage, a large group was given two different sets of questions. The first set of questions is related to human subjectivity, which implies that the users were given a set of subjective questions that were related to the qualitative rating of selected neighborhoods in the San Francisco Bay Area. The questions were communicated in a simple way, by extracting Google Street viewpoints as images and submitting them to the “Amazon Mechanical Turk” system for rating along with a series of questions regarding the content shown in the images. This process takes advantage of human subjectivity when it comes to rating an area based on someone’s personal infrastructure condition (Figure 12), interpretation of safety (Figure 13) and affordability (Figure 14), qualities that vary significantly even among neighboring blocks; however, the amount or the frequency of variation may have a significant role in the overall research. The second set of questions is related to the collection of detail features, such as the presence of expensive loft housing, abandoned buildings, industrial buildings, trees, fitness studios, contemporary and stylish coffee shops. This process is utilizing the same strategy as the first one, by using Google Street viewpoints in order for the participants to identify the presence of any of the feature elements in the content of the images. The identification of these features would be extremely time consuming to collect manually; therefore, this method is proven highly efficient on this aspect. The areas of interest for both sets of questionnaires are Oakland and Emeryville, which were chosen because they are transforming from high concentrated crime areas into urban, entertainment, and commercial attractor points. The questions were submitted to “Amazon Mechanical Turk” as a file in “.json” format and were structured in a way that the answers would be easy to process and to visualize. In particular, the answers to the question would have to be represented either as a numerical scale from 1 to 10, as a binary yes or no option, or a multiple choice (tick the box). We avoided completely answers that would require the user to write lengthy texts (Figure 15). The received answers were in “.json” format, so they were transformed into “.csv” format as in the previous method.
Amazon Mechanical Turk Oakland example maps of bicycles, lofts, abandoned buildings, and industrial buildings (figure was created by the author).
Amazon Mechanical Turk neighborhood rating: neighborhood infrastructure evaluation (figure was created by the author) [
Amazon Mechanical Turk neighborhood rating: neighborhood safety evaluation (figure was created by the author) [
Amazon Mechanical Turk neighborhood rating: neighborhood affordability evaluation (figure was created by the author) [
Amazon Mechanical Turk submitted questionnaire (left) Amazon Mechanical Turk street rating (right) (figure was created by the author) [
All data layers were combined and provided the context for a more fine-grained understanding of neighborhood characteristics, conflicts, and relationships that reveal the heterogeneous characteristics of the city [15]. Mapping here is not only addressed as a visualization tool but also as a platform based on which we can make faster and factual assessments [16].
Moving away from the expert urbanist model, which determines the form and functionality of the built environment based on central rules, we argue that engagement with democratic participation can lead to more sustainable and resilient built environments. “Openreblock” platform is an open-ended approach to social justice that offers users active participation and opportunities to reform their immediate environment (Figure 16). By encouraging participatory planning via community mapping by its own citizens, it contributes in improving slum communities and their integration in the broader urban fabric. Some of the immediate benefits are land regularization and security of land ownership, allowance for public services, and connectivity.
“Openreblock”: website main page, interface, graphics (graphic design by Stamen design).
As urban planning should be understood as a communicative, pragmatic, social practice, this tool facilitates intercultural dialog and implementation. “Openreblock” enables users to reorganize slum communities that lack significant public infrastructure, such as access to a public street. The idea of the tool is that citizens have the right to affect the design of their local neighborhood and have access to an open-source methodology for doing so. It is a web-based service for an open-source platform that proposes the least disruptive reformation of the existing street network in order to interconnect slum building blocks that lack access to a public street. This sets the basis for land formalization and property stability, so that
Funded through OpenIDEO, it is the product of major research collaboration by the Santa Fe Institute, Sam Houston State University, UC Berkeley, and Shack/Slum Dwellers International, a global network of community-based organizations representing the urban poor. Shack/Slum Dwellers International is a network of community-based groups from 33 countries representing and communicating the needs of the urban poor, engaging international agencies, and operating on the global stage in order to support and advance local struggles for the last 20 years.
“Openreblock” combines the knowledge of slum communities’ inhabitants with data analytics worldwide to enable each citizen to become an agent of information with the objective to enrich local knowledge and empower their community to pursue faster and more sustainable development outcomes from the local governments.
In order to be able to formalize a strategy on how to evaluate and classify urban fabric typologies, we need to identify some key characteristics that define the character of the urban space. These characteristics should correspond to physical characteristics and relationships between the elements of space, in order to become a quantifiable set of parameters. In our case, the morphology of space that we need to analyze is that of a slum urban block. Although slum communities are diverse in physical appearance, context parcel population, and opportunities, they share common characteristics of organic typology and aggregation of parcels that are a result of unplanned, spontaneous expansion. In most cases, this type of urban development across time results in isolated parcels that do not have access to the street network at all and therefore to any services.
The lack of infrastructure appears to be common to most poor or informal neighborhoods, and some of the challenges that these communities are facing derive partially form this fact. Streets are not only used for transportation, they carry all the necessary infrastructures such as drainage, electrical and communication services that interconnect the neighborhoods.
Based on the above, the key quantifiable set of parameters is the topology of the parcels, which reveals parcels with “blind” sides to a public street. In comparison with normal city block that is accessible from all sides, an isolated block would share a common side with one or more of its neighboring blocks. Thus, we can classify the urban fabric quality of any community block from maps that include spatial parcels and access networks in a way that can be automated. We demonstrate an example below of a morphing procedure between three different typologies of urban blocks that have the same topology (same number of parcels and no isolated parcels, common number of nodes), where we can mathematically transform the parcels from one block typology to the other. The third block typology is the output of the “reblocking” procedure of a slum block in Epworth, Zimbabwe, while the other two are from New York and Cape Town. This small example reflects the concept of urban topology evaluation, as the morphing process would have failed if the Epworth block had isolated parcels (Figure 17).
Topology of a building block-morphing process between three building blocks that share the same topology (figure was created by the author).
Thus, by evaluating the topology of the street network, we can assess more effectively the quality of the neighborhood in terms of public services, connectivity, and social and economic justice in general.
“Openreblock” visualizes access to essential services like water, energy, and sanitation at a neighborhood parcel level. This web-based platform requires user input, in order to operate and uses an algorithm to evaluate the topology of the blocks and the continuity of the street network, identify the parcels that do not have access to a public street, and then propose the least disruptive reorganization of a cluster of slum blocks, so that each parcel gets access to a street. It provides the missing connectivity that reduces travel distances and essentially transforms the parcels configuration to commonly known patterns of city building blocks that have access to streets on all sides. The resulting map reflects the changes in the physical layout of the blocks. The solution corresponding to the absolute minimum number of new streets could be impractical for the citizens themselves for the reason that it does not offer enough flexibility; however, it offers a good basis that is easily perceived by the users, in which they can develop and customize further. The process has been enriched by additional functionality that allows the users to exclude streets from the calculation and customize their priorities prior to the calculation based on what reflects their needs best. This is the kind of local knowledge that emerges from processes that allow active user engagement, and its value is immense for the reformation of the community.
The input required is a map of the properties in the community in a shape file format (.shp). The design system is articulated by specific front-end and back-end processes (Figure 18). The front-end processes are related to the display of the website based on user demand, which constitute the User Interface, and the back-end processes are related to the background processes needed for the calculation, such as reclustering calculation, queuing of tasks being performed, registering a user in a database, and creating a user profile. As the calculations could potentially demand a large amount of time to complete, asynchronous task queue/job queue “Celery” has been utilized to queue the tasks in real-time operation. “Openreblock” front-end processes use “Leaflet” and “Mapbox” libraries for the map display, whereas the back-end processes are built in “Jango” library.
“Openreblock” design system of processes (figure was created by the author).
In order to make the process of the calculation interactive, the steps are being displayed during the calculation, so the user can spot the new paths that are being generated gradually during the calculation. The user can also access and download any of the intermediate steps of the process. The algorithm estimates the location of existing paths and associated construction costs for new streets, making discussion, and comparison of alternative plans easy. It produces a new map that allows each home or workplace to have an address and to obtain urban services (Figure 19). Residents can adjust the tool to their needs by prioritizing processes and use the outcome as an alternative proposal for future replanning, in order to oppress the local government to consider their proposal. Users can optimize the process based on their priorities, such as cost minimization, exclusion of certain paths from the calculation, because they clash with landmarks and width of the new road network for circulation convenience. This allowance for customization is key for local resilience to climate change and socioeconomic development.
Cape Town example. Process of “reblocking.” New road network is gradually formed (graphic design by Stamen design).
Due to the staggering rise of technology, our ability to generate data far exceeds our capacity to comprehend the complexity that is entailed in the process of allocating the right kinds of data, analyzing it and finding meaningful connections between different data sets. As this has become one of the biggest challenges that planners are facing, it is important to employ innovative strategies and attempt to go beyond the conventions in data diagnostics. The core of this paper is devoted to an examination of direct or indirect user participation in understanding and pursuing social cohesion in the urban context.
In recent theoretical and policy debates concerning social correlation with the built environment, human participation has re-emerged as an important asset that could provide insight regarding the dynamics of urban space. In this context of renewal of interest in the local, social interactions, the deployment of notions such as, subjectivity, human scale, and temporality offer a critical review of constrained and narrow-sided methods of visualizing the dynamics of urban space solely from a top-down perspective, that of planners and stakeholders. Beyond its sociopolitical implications, participatory approach in urban planning aims to establish a framework toward a more resilient and sustainable environment that benefits both researchers and citizens. From the researcher’s perspective, the ability to visualize and analyze peoples desires and opinions that reflect their background allows for a culturally enhanced database that captures their common aspects and differences as it was demonstrated on the first case study.
The first case study aims to provide a calibrated understanding of the multiple grains of constructed space through top-down and bottom-up methodologies, as well as to offer a tool of visualizing dynamical characteristics of the urban environment. The research balances the traditional census data analysis with more dynamic layers of collective platforms and crowdsourcing. Whichever methodology is considered more or less descriptive of the reality, it is worth examining all the conduits and corridors available to us, by which changes in the urban context are being delivered.
The results of the three surveys were overlapped and weighted in order to produce a series of maps at different scales that visualize gentrification in the Bay Area. Each method described presents certain advantages. The census data analysis provides an overview of the context over a significant time span (2000–2012) and helps us understand major socioeconomic shifts. The open data analysis depicts the ephemeral layer of relationships that take place in the urban environment, which is impossible to be described by authoritative data; however, it is more relevant to the actual conditions, revealing user demands through open-source platforms. The third method enriches the process with cultural inputs are captured as data and user personal feedback about ranking the environment of a neighborhood as it currently stands. Looking at urban issues through maps can give us several hints about spatial and social transformations, in which we can think upon, as visualized information provokes feedback, either logical or emotional. Throughout this entire process, we can assess certain findings:
Based on the census data analysis, nearly half of the San Francisco Bay Area census tracts are undergoing some form of neighborhood transformation and displacement.
Although varied in their approaches, questions and results, one consistent finding across the three methods is that movers in gentrifying tracts were more likely to be higher income, college educated, and younger in age. This came down to depicting certain categories as indicative that the process of gentrification has already been underway: (a) shift in tenure, (b) influx of households interested in urban living, (c) increase in high-income serving amenities such as music clubs, coffee shops, galleries, etc, (d) rise of educational level.
The data accumulated from the open data research depict a significant artists’ movement regarding art studio rent requests, artwork sale, and creative services in general in the entire Bay Area and especially in San Francisco and Oakland. The San Francisco arts scene has historically overshadowed Oakland; however, in combination with the staggering rise of rent in San Francisco, we can anticipate that the artist movement will intensify in East Bay in a short timeframe.
Studying Oakland at a local street view scale, we can assess that the area is undergoing disperse development that presents high contradictions related to infrastructure condition, affordability, and safety. The results from the crowdsourcing survey vary significantly in building block scale; therefore, any sense of continuity of the same character because of proximity is not necessarily a criterion to rely upon (Figures 11–13).
Moreover, certain redeveloped areas have uniform functional identity, such as Emeryville, as they present excessive duplication of the most profitable uses (malls, restaurants), while San Francisco and Oakland downtowns present excessive duplication of financial functions (bank district).
We notice significant contradictions on the results of the crowed sourced research regarding infrastructure condition, safety, and affordability perception of the participants. Some of the findings depict areas of new development (last 3–4 years) that are yet islanded off because the surrounding area is significantly undermined. However, this contradiction reveals certain dynamics regarding the future, further redevelopment of the area, as well as the areas that accumulate similar features. If we combine the above with the data related to artists’ movement and the real estate requests associated with it, we can anticipate that the areas that are currently popular to the artist community will upgrade and the areas that are still undergoing reanesthetization (industrial, abandoned buildings) will follow (Figure 10).
This new establishment of relationships is replacing almost entirely the previous condition of gradual displacement and gentrification. It evolves rapidly, and although it looks more orderly, visually, as many areas are undergoing significant upgrading, this esthetic ordering might not have a social correlation. Social structure and social stability are inversely proportional to visual order. This condition is known to be establishing in Oakland, which was significantly undermined in the past few years; however, the challenge is not only to identify the problem but also to find the ways to analyze by mapping its characteristics and communicate it visually to its extents. Understanding the shifts of urban space and finding the patterns that drive them is a big challenge. We support that close engagement with users leads us to explore numerous research methods, which have a way of contributing to meaningful connections inside data networks. We find inspiration in the combination of the traditional ways of space categorization by investigating the relationship of home value, income, transportation, etc., with a bottom-up, participative approach in which individuals provide more ephemeral social elements of neighborhoods.
The second case study is a first step in designing a platform that showcases a social and vital problem of undeveloped slum communities. The primary aspect in designing this tool is to understand the problem through the citizens’ perspective, resonate it to a wider audience and formulate methods to represent it effectively.
At the moment, “Openreblock” platform computes and visualizes access to essential utilities such as water, energy, and sanitation at a building block level, along with showcasing how the lack of these may relate to risks or disasters faced by entire communities. The potential contribution of this platform could extend beyond a computational and visualization tool, into a powerful decision-making tool used by both policy makers and slum communities alike, with the objective to improve the lives of the communities through design and data, build partnerships with organizations that could bring innovative solutions and impact stakeholders’ strategies to become more tailored toward what is important for the communities.
From the citizens perspective, the ability to collect their own data, own the process of development, and reshape the urban fabric prompts the residents to participate in its evolvement and grow conscience and care for their neighborhood.
As the above case studies open the possibility to operate at a fine spatial scale, examining the city, and neighborhoods, block by block and building by building, they provide the context for a more fine-grained understanding of community characteristics, conflicts, and relationships that reveal the heterogeneous characteristics of the urban space. We argue that the key in improving policy-making is engaging community members to collaborate and take advantage of the available information, in order to become more active members in the society and become able to respond with their own creativity and capacity. From the researchers and planners perspective, the key would be to find ways to anticipate the infrastructural requirements of user involvement, come up with new tools and ideas that maximize the potential for cooperation, coordination, and creativity, while diminishing friction. The future goal would be to design for a convergence of trajectories of citizens, stakeholders, researchers, environment, and local authorities. This could be a first step toward the equalization of power and influence between citizens and stakeholders, which could lead in the collaborative construction of urban space and the understanding of the unique challenges that the city faces.
The first case study was initiated in the context of the University of California, Berkeley, during the Master of Architecture Program “Studio One: The Data Made Me Do It” 2014–2015, supervised by professor Kyle Steinfeld. The research was continued and concluded by the author at a later stage. The development and design of the digital platform in the second case study is a collaboration between the University of California, Berkeley, and the College of Environmental Design, Stamen Design in San Francisco and the Santa Fe Institute. Contributors from University of Californi, Berkeley, are Nicolas de Monchaux, Carlos Sandoval Olascoaga, Wenzhe Peng, and Eleanna Panagoulia. Design by the Stamen design and technology studio. The source for this site and the topology algorithm can be viewed on GitHub.
The authors declare no conflict of interest.
Ove Odredbe i uvjeti ističu pravila i regulacije u svezi korištenja IntechOpenove stranice www.intechopen.com i svih poddomena u vlasništvu IntechOpena, tvrtke sa sjedištem u 5 Princes Gate Court, London, SW7 2QJ, Ujedinjeno Kraljevstvo.
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\\n\\nSljedeća terminologija odnosi se na Odredbe i uvjete, te na sve naše ugovore:
\\n\\nKlijent, stranka, vi, vaš odnosi se na vas, osobu koja pristupa ovoj stranici i prihvaća IntechOpenove Odredbe i uvjete;
\\n\\nKompanija, tvrtka, mi, naše odnosi se na tvrtku IntechOpen;
\\n\\nStranke, strane odnosi se na klijenta i na nas, ili samo na klijenta ili nas.
\\n\\nSve odredbe koje se odnose na ponudu, prihvat ili razmatranje plaćanja, a za koja mi pružamo asistenciju klijentu, bilo na ugovoreni ili fiksni način, a s ciljem da se ostvare potrebe i želje klijenta u svezi s našim uslugama, su podložne zakonskim odredbama Ujedinjenog Kraljevstva.
\\n\\nOsim ako nije suprotno navedeno, IntechOpen i/ili svi davatelji licence vlasnici su intelektualnog vlasništva nad svim materijalima na www.intechopen.com. Sva prava intelektualnog vlasništva su pridržana. Stranice sa www.intechopen.com možete gledati, preuzimati, dijeliti, dijeliti poveznice i printati za osobnu uporabu, a temeljem pravila sadržanih u ovim Odredbama i uvjetima.
\\n\\nMi koristimo kolačiće. Korištenjem IntechOpenove stranice slažete se s korištenjem kolačića u skladu s IntechOpenovom Politikom privatnosti. Većina modernih, interaktivnih stranica koristi kolačiće kako bi omogućila ponovno pronalaženje korisničkih detalja kod svakog posjeta. Na našoj stranici kolačići se uglavnom koriste kako bi omogućili funkcionalnost i olakšali posjetiteljima korištenje stranice.
\\n\\nIntechOpen ili njegovi suradnici niti u jednom slučaju neće biti odgovorni za štete (štete uključuju gubitak podataka ili profita, druge poslovne prekide, te sve ostale štete) koje nastanu zbog korištenja materijala na IntechOpenovoj stranici ili nemogućnosti da se iste koriste, čak i ako je IntechOpen ili njegov predstavnik o takvoj šteti obaviješten pismenim ili usmenim putem. Neke jurisdikcije ne dozvoljavaju ograničenja garancija ili ograničenja obveza za posljedične ili slučajne štete pa se u tom slučaju ova ograničenja možda ne odnose na vas.
\\n\\nMaterijali koji se pojavljuju na IntechOpenovoj stranici mogu sadržavati manje greške, tipfelere ili fotografske greške. IntechOpen može napraviti promjene na bilo kojem materijalu koji se nalazi na stranici u bilo koje vrijeme.
\\n\\nIntechOpen nije formalno povezan niti s jednom vanjskom stranicom čije poveznice vode na www.intechopen.com, osim ako to nije izravno navedeno. Iz tog razloga IntechOpen nije odgovoran za sadržaj koji se pojavljuje na takvim stranicama. Poveznica na IntechOpenovu stranicu ne implicira povezanost sa IntechOpenom. Korištenje takvih poveznica isključiva je odgovornost korisnika.
\\n\\nZadržavamo pravo vlasništva nad cjelokupnom stranicom www.intechopen.com i nad svim materijalom na toj stranici. Koristeći se našim uslugama, slažete se da maknete sve poveznice na našu stranicu odmah nakon što to od vas zatražimo. Također, zadržavamo pravo da ove Odredbe i uvjete, i politiku o poveznicama izmjenimo u bilo koje vrijeme. Koristeći se poveznicama na naše stranice slažete se s ovim Odredbama i uvjetima.
\\n\\nAko smatrate da je bilo koja poveznica na našoj stranici sumnjiva iz bilo kojeg razloga, molimo vas da nas kontaktirate. U tom slučaju razmotrit ćemo micanje poveznice s naše stranice, iako nismo obvezni to napraviti.
\\n\\nBez prethodne privole i izričite pisane dozvole, ne možete stvarati okvire oko naših stranica ili koristiti druge tehnike koje na bilo koji način mogu promijeniti prezentaciju ili izgled naše stranice.
\\n\\nIntechOpen može ove Odredbe izmijeniti u bilo koje vrijeme i bez prethodne obavijesti. Koristeći ovu stranicu vi se slažete s trenutnim Odredbama i uvjetima koje su na snazi.
\\n\\nOve Odredbe i uvjeti su sastavljeni u skladu s odredbama prava Ujedinjenog Kraljevstva, a za sve sporove nadležan je sud u Londonu, Ujedinjeno Kraljevstvo.
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\n\nSljedeća terminologija odnosi se na Odredbe i uvjete, te na sve naše ugovore:
\n\nKlijent, stranka, vi, vaš odnosi se na vas, osobu koja pristupa ovoj stranici i prihvaća IntechOpenove Odredbe i uvjete;
\n\nKompanija, tvrtka, mi, naše odnosi se na tvrtku IntechOpen;
\n\nStranke, strane odnosi se na klijenta i na nas, ili samo na klijenta ili nas.
\n\nSve odredbe koje se odnose na ponudu, prihvat ili razmatranje plaćanja, a za koja mi pružamo asistenciju klijentu, bilo na ugovoreni ili fiksni način, a s ciljem da se ostvare potrebe i želje klijenta u svezi s našim uslugama, su podložne zakonskim odredbama Ujedinjenog Kraljevstva.
\n\nOsim ako nije suprotno navedeno, IntechOpen i/ili svi davatelji licence vlasnici su intelektualnog vlasništva nad svim materijalima na www.intechopen.com. Sva prava intelektualnog vlasništva su pridržana. Stranice sa www.intechopen.com možete gledati, preuzimati, dijeliti, dijeliti poveznice i printati za osobnu uporabu, a temeljem pravila sadržanih u ovim Odredbama i uvjetima.
\n\nMi koristimo kolačiće. Korištenjem IntechOpenove stranice slažete se s korištenjem kolačića u skladu s IntechOpenovom Politikom privatnosti. Većina modernih, interaktivnih stranica koristi kolačiće kako bi omogućila ponovno pronalaženje korisničkih detalja kod svakog posjeta. Na našoj stranici kolačići se uglavnom koriste kako bi omogućili funkcionalnost i olakšali posjetiteljima korištenje stranice.
\n\nIntechOpen ili njegovi suradnici niti u jednom slučaju neće biti odgovorni za štete (štete uključuju gubitak podataka ili profita, druge poslovne prekide, te sve ostale štete) koje nastanu zbog korištenja materijala na IntechOpenovoj stranici ili nemogućnosti da se iste koriste, čak i ako je IntechOpen ili njegov predstavnik o takvoj šteti obaviješten pismenim ili usmenim putem. Neke jurisdikcije ne dozvoljavaju ograničenja garancija ili ograničenja obveza za posljedične ili slučajne štete pa se u tom slučaju ova ograničenja možda ne odnose na vas.
\n\nMaterijali koji se pojavljuju na IntechOpenovoj stranici mogu sadržavati manje greške, tipfelere ili fotografske greške. IntechOpen može napraviti promjene na bilo kojem materijalu koji se nalazi na stranici u bilo koje vrijeme.
\n\nIntechOpen nije formalno povezan niti s jednom vanjskom stranicom čije poveznice vode na www.intechopen.com, osim ako to nije izravno navedeno. Iz tog razloga IntechOpen nije odgovoran za sadržaj koji se pojavljuje na takvim stranicama. Poveznica na IntechOpenovu stranicu ne implicira povezanost sa IntechOpenom. Korištenje takvih poveznica isključiva je odgovornost korisnika.
\n\nZadržavamo pravo vlasništva nad cjelokupnom stranicom www.intechopen.com i nad svim materijalom na toj stranici. Koristeći se našim uslugama, slažete se da maknete sve poveznice na našu stranicu odmah nakon što to od vas zatražimo. Također, zadržavamo pravo da ove Odredbe i uvjete, i politiku o poveznicama izmjenimo u bilo koje vrijeme. Koristeći se poveznicama na naše stranice slažete se s ovim Odredbama i uvjetima.
\n\nAko smatrate da je bilo koja poveznica na našoj stranici sumnjiva iz bilo kojeg razloga, molimo vas da nas kontaktirate. U tom slučaju razmotrit ćemo micanje poveznice s naše stranice, iako nismo obvezni to napraviti.
\n\nBez prethodne privole i izričite pisane dozvole, ne možete stvarati okvire oko naših stranica ili koristiti druge tehnike koje na bilo koji način mogu promijeniti prezentaciju ili izgled naše stranice.
\n\nIntechOpen može ove Odredbe izmijeniti u bilo koje vrijeme i bez prethodne obavijesti. Koristeći ovu stranicu vi se slažete s trenutnim Odredbama i uvjetima koje su na snazi.
\n\nOve Odredbe i uvjeti su sastavljeni u skladu s odredbama prava Ujedinjenog Kraljevstva, a za sve sporove nadležan je sud u Londonu, Ujedinjeno Kraljevstvo.
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. 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Heat stress decreases the secretion of luteinizing hormone and estradiol resulting in reduced length and intensity of estrus expression, increased incidence of anoestrus and silent heat in farm animals. Oocytes exposed to thermal stress lose its competence for fertilization and development into the blastocyst stage, which results in decreased fertility because of the production of poor quality oocytes and embryos. Furthermore, low progesterone secretion limits the endometrial functions, and subsequently embryo development. In addition, the increased secretion of endometrial prostaglandin F2 alpha during heat stress threatens the maintenance of pregnancy. In general, the percentage of conception rate was found to be reduced by 4.6% for each unit increase in temperature humidity index (THI) above 70, and heat stress during pregnancy further slows down the growth of the foetus and results in lower birth weight. In tropical and subtropical regions, during hot days, the testicular temperature may increase and impair both the spermatogenic cycle and semen quality, which culminates in decreased bull fertility. The effects of heat stress on livestock can be minimized via adapting suitable scientific strategies comprising physical modifications of the environment, nutritional management and genetic development of breeds that are less sensitive to heat stress. In addition, the summer infertility may be countered through advanced reproductive technologies involving hormonal treatments, timed artificial insemination and embryo transfer, which may enhance the chances for establishing pregnancy in farm animals.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Govindan Krishnan, Madiajagan Bagath, Prathap Pragna,\nMallenahally Kusha Vidya, Joy Aleena, Payyanakkal Ravindranathan\nArchana, Veerasamy Sejian and Raghavendra Bhatta",authors:[{id:"89780",title:"Dr.",name:"Veerasamy",middleName:null,surname:"Sejian",slug:"veerasamy-sejian",fullName:"Veerasamy Sejian"},{id:"177210",title:"Dr.",name:"Raghavendra",middleName:null,surname:"Bhatta",slug:"raghavendra-bhatta",fullName:"Raghavendra Bhatta"},{id:"177220",title:"Dr.",name:"M",middleName:null,surname:"Bagath",slug:"m-bagath",fullName:"M Bagath"},{id:"201967",title:"Dr.",name:"Govindan",middleName:null,surname:"Krishnan",slug:"govindan-krishnan",fullName:"Govindan Krishnan"},{id:"201968",title:"Ms.",name:"Archana",middleName:null,surname:"Pr",slug:"archana-pr",fullName:"Archana Pr"},{id:"201969",title:"Ms.",name:"Pragna",middleName:null,surname:"Prathap",slug:"pragna-prathap",fullName:"Pragna Prathap"},{id:"201970",title:"Ms.",name:"Aleena",middleName:null,surname:"Joy",slug:"aleena-joy",fullName:"Aleena Joy"},{id:"201971",title:"Dr.",name:"Vidya",middleName:null,surname:"Mk",slug:"vidya-mk",fullName:"Vidya Mk"}]},{id:"55006",doi:"10.5772/intechopen.68650",title:"Immunocastration as Alternative to Surgical Castration in Pigs",slug:"immunocastration-as-alternative-to-surgical-castration-in-pigs",totalDownloads:1876,totalCrossrefCites:9,totalDimensionsCites:19,abstract:"Surgical castration of piglets is a routine practice in pig production used to prevent the incidence of boar taint of pig meat, which may develop in entire male pigs as they reach puberty. This practice is being presently questioned in the European Union, and there is a strong initiative to end it. The initiative is presently voluntary; however, key stakeholders of European pig production sector have signed a declaration, and the actions undertaken by them already affect the business. Before such new concepts in pig production can be implemented, alternative solutions are needed, one of them being immunocastration. The present chapter will thus focus on the presentation of immunocastration as one of the promising alternatives to surgical castration. Theoretical and practical aspects of immunocastration in pig production will be described, and the advantages and disadvantages of this alternative will be summarised. Physiological principles of immunocastration and impacts on metabolism, growth performance, body composition and meat quality will be described and aspects of public acceptability reviewed.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Marjeta Čandek-Potokar, Martin Škrlep and Galia Zamaratskaia",authors:[{id:"23161",title:"Dr.",name:"Marjeta",middleName:null,surname:"Čandek-Potokar",slug:"marjeta-candek-potokar",fullName:"Marjeta Čandek-Potokar"},{id:"198220",title:"Dr.",name:"Martin",middleName:null,surname:"Škrlep",slug:"martin-skrlep",fullName:"Martin Škrlep"},{id:"198221",title:"Prof.",name:"Galia",middleName:null,surname:"Zamaratskaia",slug:"galia-zamaratskaia",fullName:"Galia Zamaratskaia"}]},{id:"55696",doi:"10.5772/intechopen.69444",title:"Estrus Cycle Monitoring in Wild Mammals: Challenges and Perspectives",slug:"estrus-cycle-monitoring-in-wild-mammals-challenges-and-perspectives",totalDownloads:1852,totalCrossrefCites:0,totalDimensionsCites:6,abstract:"The knowledge of reproductive physiology is of paramount importance to guide reproductive management and to make possible future application of assisted reproduction techniques (ARTs) aiming ex situ conservation of wild mammals. Nevertheless, information on the basic reproductive aspects of wild mammals remain scarce, and appropriate management practices have not yet been developed for all the species. This chapter discusses the methods most currently used for reproductive monitoring in wild females. Additionally, the difficulties regarding their use in different species and the possibilities of these procedures in captivity or in free-living mammals are addressed.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Alexandre R. Silva, Nei Moreira, Alexsandra F. Pereira, Gislayne C.X.\nPeixoto, Keilla M. Maia, Lívia B. Campos and Alana A. Borges",authors:[{id:"90066",title:"Dr.",name:"Alexandre",middleName:"Rodrigues",surname:"Silva",slug:"alexandre-silva",fullName:"Alexandre Silva"},{id:"177090",title:"Dr.",name:"Alexsandra Fernandes",middleName:null,surname:"Pereira",slug:"alexsandra-fernandes-pereira",fullName:"Alexsandra Fernandes Pereira"},{id:"177093",title:"MSc.",name:"Gislayne Christianne Xavier",middleName:null,surname:"Peixoto",slug:"gislayne-christianne-xavier-peixoto",fullName:"Gislayne Christianne Xavier Peixoto"},{id:"198314",title:"Prof.",name:"Nei",middleName:null,surname:"Moreira",slug:"nei-moreira",fullName:"Nei Moreira"},{id:"198315",title:"MSc.",name:"Keilla Moreira",middleName:null,surname:"Maia",slug:"keilla-moreira-maia",fullName:"Keilla Moreira Maia"},{id:"198316",title:"MSc.",name:"Lívia Batista",middleName:null,surname:"Campos",slug:"livia-batista-campos",fullName:"Lívia Batista Campos"},{id:"198317",title:"MSc.",name:"Alana Azevedo",middleName:null,surname:"Borges",slug:"alana-azevedo-borges",fullName:"Alana Azevedo Borges"}]},{id:"56522",doi:"10.5772/intechopen.69549",title:"Role of Melatonin in Reproductive Seasonality in Buffaloes",slug:"role-of-melatonin-in-reproductive-seasonality-in-buffaloes",totalDownloads:1725,totalCrossrefCites:2,totalDimensionsCites:5,abstract:"Buffaloes are characterized by seasonal reproductive activity. Anestrus buffalo heifers and lactating buffaloes were used to study the effect of melatonin treatment on the resumption of ovarian activity during out-of-breeding season. Buffaloes of treated group were injected or implanted with melatonin (18 mg melatonin/50 kg body weight). Using CIDR-eCG protocol preceded with melatonin successfully achieved estrus behavior and induced conception rate during out-of-breeding season. Furthermore, the reproductive performance of buffaloes during out-of-breeding season was clearly improved by melatonin implantation in conjunction with CIDR-eCG protocol due to the luteotrophic effect of melatonin expressed as increasing diameter of CL (corpus luteum) and progesterone concentration. This improvement resulted in greater values of conception rate, in melatonin implanted compared to not implanted buffaloes. Melatonin implantation in anestrus buffalo heifers increased the diameter of largest follicles and melatonin concentration but progesterone and luteinizing hormone (LH) concentrations were decreased. In addition, melatonin implantation in anestrus lactating buffaloes increased the SOD (superoxide dismutase) enzyme activity. Sustained release of exogenous melatonin significantly protects against oxidative stress while increasing beneficial total antioxidant capacity (TAC) concentration in summer-stressed anestrus buffaloes. Melatonin implantation in conjunction with CIDR-eCG protocol successfully improved some blood metabolites, in anestrus buffalo heifers during out-of-breeding season under tropical conditions.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Tamer Awad Ramadan",authors:[{id:"197651",title:"Dr.",name:"Tamer",middleName:"Awad",surname:"Ramadan",slug:"tamer-ramadan",fullName:"Tamer Ramadan"}]},{id:"54974",doi:"10.5772/intechopen.68651",title:"Markers for Sperm Freezability and Relevance of Transcriptome Studies in Semen Cryopreservation: A Review",slug:"markers-for-sperm-freezability-and-relevance-of-transcriptome-studies-in-semen-cryopreservation-a-re",totalDownloads:1586,totalCrossrefCites:0,totalDimensionsCites:4,abstract:"Advances in sperm assessment techniques have offered new perspectives to improve the technology of semen cryopreservation. This review addresses some recent achievements in the proteomics of seminal plasma and spermatozoa and exemplifies its importance as markers for sperm fertility following cryopreservation. Recent advances in transcriptome studies on sperm RNA-Seq data have generated new information aimed to unravel the physiological roles of RNAs in the sperm-egg fertilization processes and their associations with male fertility. The relevance of the sperm freezability markers and the potential associations of RNA-profiling sequences with the sperm biological functions have been discussed.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Leyland Fraser",authors:[{id:"199650",title:"Dr.",name:"Leyland",middleName:null,surname:"Fraser",slug:"leyland-fraser",fullName:"Leyland Fraser"}]}],mostDownloadedChaptersLast30Days:[{id:"55696",title:"Estrus Cycle Monitoring in Wild Mammals: Challenges and Perspectives",slug:"estrus-cycle-monitoring-in-wild-mammals-challenges-and-perspectives",totalDownloads:1852,totalCrossrefCites:0,totalDimensionsCites:6,abstract:"The knowledge of reproductive physiology is of paramount importance to guide reproductive management and to make possible future application of assisted reproduction techniques (ARTs) aiming ex situ conservation of wild mammals. Nevertheless, information on the basic reproductive aspects of wild mammals remain scarce, and appropriate management practices have not yet been developed for all the species. This chapter discusses the methods most currently used for reproductive monitoring in wild females. Additionally, the difficulties regarding their use in different species and the possibilities of these procedures in captivity or in free-living mammals are addressed.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Alexandre R. Silva, Nei Moreira, Alexsandra F. Pereira, Gislayne C.X.\nPeixoto, Keilla M. Maia, Lívia B. Campos and Alana A. Borges",authors:[{id:"90066",title:"Dr.",name:"Alexandre",middleName:"Rodrigues",surname:"Silva",slug:"alexandre-silva",fullName:"Alexandre Silva"},{id:"177090",title:"Dr.",name:"Alexsandra Fernandes",middleName:null,surname:"Pereira",slug:"alexsandra-fernandes-pereira",fullName:"Alexsandra Fernandes Pereira"},{id:"177093",title:"MSc.",name:"Gislayne Christianne Xavier",middleName:null,surname:"Peixoto",slug:"gislayne-christianne-xavier-peixoto",fullName:"Gislayne Christianne Xavier Peixoto"},{id:"198314",title:"Prof.",name:"Nei",middleName:null,surname:"Moreira",slug:"nei-moreira",fullName:"Nei Moreira"},{id:"198315",title:"MSc.",name:"Keilla Moreira",middleName:null,surname:"Maia",slug:"keilla-moreira-maia",fullName:"Keilla Moreira Maia"},{id:"198316",title:"MSc.",name:"Lívia Batista",middleName:null,surname:"Campos",slug:"livia-batista-campos",fullName:"Lívia Batista Campos"},{id:"198317",title:"MSc.",name:"Alana Azevedo",middleName:null,surname:"Borges",slug:"alana-azevedo-borges",fullName:"Alana Azevedo Borges"}]},{id:"55491",title:"Mitigation of the Heat Stress Impact in Livestock Reproduction",slug:"mitigation-of-the-heat-stress-impact-in-livestock-reproduction",totalDownloads:4243,totalCrossrefCites:9,totalDimensionsCites:23,abstract:"Heat stress affects the fertility and reproductive livestock performance by compromising the physiology reproductive tract, through hormonal imbalance, decreased oocyte quality and poor semen quality, and decreased embryo development and survival. Heat stress decreases the secretion of luteinizing hormone and estradiol resulting in reduced length and intensity of estrus expression, increased incidence of anoestrus and silent heat in farm animals. Oocytes exposed to thermal stress lose its competence for fertilization and development into the blastocyst stage, which results in decreased fertility because of the production of poor quality oocytes and embryos. Furthermore, low progesterone secretion limits the endometrial functions, and subsequently embryo development. In addition, the increased secretion of endometrial prostaglandin F2 alpha during heat stress threatens the maintenance of pregnancy. In general, the percentage of conception rate was found to be reduced by 4.6% for each unit increase in temperature humidity index (THI) above 70, and heat stress during pregnancy further slows down the growth of the foetus and results in lower birth weight. In tropical and subtropical regions, during hot days, the testicular temperature may increase and impair both the spermatogenic cycle and semen quality, which culminates in decreased bull fertility. The effects of heat stress on livestock can be minimized via adapting suitable scientific strategies comprising physical modifications of the environment, nutritional management and genetic development of breeds that are less sensitive to heat stress. In addition, the summer infertility may be countered through advanced reproductive technologies involving hormonal treatments, timed artificial insemination and embryo transfer, which may enhance the chances for establishing pregnancy in farm animals.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Govindan Krishnan, Madiajagan Bagath, Prathap Pragna,\nMallenahally Kusha Vidya, Joy Aleena, Payyanakkal Ravindranathan\nArchana, Veerasamy Sejian and Raghavendra Bhatta",authors:[{id:"89780",title:"Dr.",name:"Veerasamy",middleName:null,surname:"Sejian",slug:"veerasamy-sejian",fullName:"Veerasamy Sejian"},{id:"177210",title:"Dr.",name:"Raghavendra",middleName:null,surname:"Bhatta",slug:"raghavendra-bhatta",fullName:"Raghavendra Bhatta"},{id:"177220",title:"Dr.",name:"M",middleName:null,surname:"Bagath",slug:"m-bagath",fullName:"M Bagath"},{id:"201967",title:"Dr.",name:"Govindan",middleName:null,surname:"Krishnan",slug:"govindan-krishnan",fullName:"Govindan Krishnan"},{id:"201968",title:"Ms.",name:"Archana",middleName:null,surname:"Pr",slug:"archana-pr",fullName:"Archana Pr"},{id:"201969",title:"Ms.",name:"Pragna",middleName:null,surname:"Prathap",slug:"pragna-prathap",fullName:"Pragna Prathap"},{id:"201970",title:"Ms.",name:"Aleena",middleName:null,surname:"Joy",slug:"aleena-joy",fullName:"Aleena Joy"},{id:"201971",title:"Dr.",name:"Vidya",middleName:null,surname:"Mk",slug:"vidya-mk",fullName:"Vidya Mk"}]},{id:"55324",title:"The Role of Androgens in Ovarian Follicular Development: From Fertility to Ovarian Cancer",slug:"the-role-of-androgens-in-ovarian-follicular-development-from-fertility-to-ovarian-cancer",totalDownloads:1755,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Androgens, steroid hormones produced by follicular cells, play a crucial role in the regulation of ovarian function. They affect folliculogenesis directly through androgen receptors (ARs) or indirectly through aromatization to estrogens. Androgens are thought to be primarily involved in preantral follicle growth and prevention of follicular atresia. It also seems possible that they are involved in the activation of primordial follicles. According to the World Health Organization, endocrine-disrupting chemicals (EDCs) are substances that alter hormonal signaling. EDCs comprise a wide variety of synthetic or natural chemicals arising from anthropogenic, industrial, agricultural, and domestic sources. EDCs interfere with natural regulation of the endocrine system by either mimicking or blocking the function of endogenous hormones as well as acting directly on gene expression or through epigenetic modifications. Disruptions in ovarian processes caused by EDCs may originate adverse outcomes such as anovulation, infertility, or premature ovarian failure. In this chapter, we aim to point out a possible involvement of androgen excess or deficiency in the regulation of ovarian function. We will summarize the effects of EDCs expressing antiandrogenic or androgenic activity on female physiology. Continuous exposition to even small concentration of such compounds can initiate oncogenesis within the ovary.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Malgorzata Duda, Kamil Wartalski, Zbigniew Tabarowski and\nGabriela Gorczyca",authors:[{id:"177042",title:"Ph.D.",name:"Malgorzata",middleName:null,surname:"Duda",slug:"malgorzata-duda",fullName:"Malgorzata Duda"},{id:"177918",title:"Dr.",name:"Zbigniew",middleName:null,surname:"Tabarowski",slug:"zbigniew-tabarowski",fullName:"Zbigniew Tabarowski"},{id:"205391",title:"MSc.",name:"Kamil",middleName:null,surname:"Wartalski",slug:"kamil-wartalski",fullName:"Kamil Wartalski"},{id:"205392",title:"MSc.",name:"Gabriela",middleName:null,surname:"Gorczyca",slug:"gabriela-gorczyca",fullName:"Gabriela Gorczyca"}]},{id:"56522",title:"Role of Melatonin in Reproductive Seasonality in Buffaloes",slug:"role-of-melatonin-in-reproductive-seasonality-in-buffaloes",totalDownloads:1726,totalCrossrefCites:2,totalDimensionsCites:5,abstract:"Buffaloes are characterized by seasonal reproductive activity. Anestrus buffalo heifers and lactating buffaloes were used to study the effect of melatonin treatment on the resumption of ovarian activity during out-of-breeding season. Buffaloes of treated group were injected or implanted with melatonin (18 mg melatonin/50 kg body weight). Using CIDR-eCG protocol preceded with melatonin successfully achieved estrus behavior and induced conception rate during out-of-breeding season. Furthermore, the reproductive performance of buffaloes during out-of-breeding season was clearly improved by melatonin implantation in conjunction with CIDR-eCG protocol due to the luteotrophic effect of melatonin expressed as increasing diameter of CL (corpus luteum) and progesterone concentration. This improvement resulted in greater values of conception rate, in melatonin implanted compared to not implanted buffaloes. Melatonin implantation in anestrus buffalo heifers increased the diameter of largest follicles and melatonin concentration but progesterone and luteinizing hormone (LH) concentrations were decreased. In addition, melatonin implantation in anestrus lactating buffaloes increased the SOD (superoxide dismutase) enzyme activity. Sustained release of exogenous melatonin significantly protects against oxidative stress while increasing beneficial total antioxidant capacity (TAC) concentration in summer-stressed anestrus buffaloes. Melatonin implantation in conjunction with CIDR-eCG protocol successfully improved some blood metabolites, in anestrus buffalo heifers during out-of-breeding season under tropical conditions.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Tamer Awad Ramadan",authors:[{id:"197651",title:"Dr.",name:"Tamer",middleName:"Awad",surname:"Ramadan",slug:"tamer-ramadan",fullName:"Tamer Ramadan"}]},{id:"54974",title:"Markers for Sperm Freezability and Relevance of Transcriptome Studies in Semen Cryopreservation: A Review",slug:"markers-for-sperm-freezability-and-relevance-of-transcriptome-studies-in-semen-cryopreservation-a-re",totalDownloads:1586,totalCrossrefCites:0,totalDimensionsCites:4,abstract:"Advances in sperm assessment techniques have offered new perspectives to improve the technology of semen cryopreservation. This review addresses some recent achievements in the proteomics of seminal plasma and spermatozoa and exemplifies its importance as markers for sperm fertility following cryopreservation. Recent advances in transcriptome studies on sperm RNA-Seq data have generated new information aimed to unravel the physiological roles of RNAs in the sperm-egg fertilization processes and their associations with male fertility. The relevance of the sperm freezability markers and the potential associations of RNA-profiling sequences with the sperm biological functions have been discussed.",book:{id:"5861",slug:"theriogenology",title:"Theriogenology",fullTitle:"Theriogenology"},signatures:"Leyland Fraser",authors:[{id:"199650",title:"Dr.",name:"Leyland",middleName:null,surname:"Fraser",slug:"leyland-fraser",fullName:"Leyland Fraser"}]}],onlineFirstChaptersFilter:{topicId:"1384",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:8,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:286,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:9,numberOfPublishedChapters:101,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:11,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:1,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. 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Science",numberOfPublishedBooks:9,numberOfPublishedChapters:100,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:11,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],subseriesList:[{id:"22",title:"Applied Intelligence",scope:"This field is the key in the current industrial revolution (Industry 4.0), where the new models and developments are based on the knowledge generation on applied intelligence. The motor of the society is the industry and the research of this topic has to be empowered in order to increase and improve the quality of our lives.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",keywords:"Machine Learning, Intelligence Algorithms, Data Science, Artificial Intelligence, Applications on Applied Intelligence"},{id:"23",title:"Computational Neuroscience",scope:"Computational neuroscience focuses on biologically realistic abstractions and models validated and solved through computational simulations to understand principles for the development, structure, physiology, and ability of the nervous system. This topic is dedicated to biologically plausible descriptions and computational models - at various abstraction levels - of neurons and neural systems. This includes, but is not limited to: single-neuron modeling, sensory processing, motor control, memory, and synaptic plasticity, attention, identification, categorization, discrimination, learning, development, axonal patterning, guidance, neural architecture, behaviors, and dynamics of networks, cognition and the neuroscientific basis of consciousness. Particularly interesting are models of various types of more compound functions and abilities, various and more general fundamental principles (e.g., regarding architecture, organization, learning, development, etc.) found at various spatial and temporal levels.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",keywords:"Single-Neuron Modeling, Sensory Processing, Motor Control, Memory and Synaptic Pasticity, Attention, Identification, Categorization, Discrimination, Learning, Development, Axonal Patterning and Guidance, Neural Architecture, Behaviours and Dynamics of Networks, Cognition and the Neuroscientific Basis of Consciousness"},{id:"24",title:"Computer Vision",scope:"The scope of this topic is to disseminate the recent advances in the rapidly growing field of computer vision from both the theoretical and practical points of view. Novel computational algorithms for image analysis, scene understanding, biometrics, deep learning and their software or hardware implementations for natural and medical images, robotics, VR/AR, applications are some research directions relevant to this topic.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",keywords:"Image Analysis, Scene Understanding, Biometrics, Deep Learning, Software Implementation, Hardware Implementation, Natural Images, Medical Images, Robotics, VR/AR"},{id:"25",title:"Evolutionary Computation",scope:"Evolutionary computing is a paradigm that has grown dramatically in recent years. This group of bio-inspired metaheuristics solves multiple optimization problems by applying the metaphor of natural selection. It so far has solved problems such as resource allocation, routing, schedule planning, and engineering design. Moreover, in the field of machine learning, evolutionary computation has carved out a significant niche both in the generation of learning models and in the automatic design and optimization of hyperparameters in deep learning models. This collection aims to include quality volumes on various topics related to evolutionary algorithms and, alternatively, other metaheuristics of interest inspired by nature. For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization"},{id:"26",title:"Machine Learning and Data Mining",scope:"The scope of machine learning and data mining is immense and is growing every day. It has become a massive part of our daily lives, making predictions based on experience, making this a fascinating area that solves problems that otherwise would not be possible or easy to solve. This topic aims to encompass algorithms that learn from experience (supervised and unsupervised), improve their performance over time and enable machines to make data-driven decisions. It is not limited to any particular applications, but contributions are encouraged from all disciplines.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",keywords:"Intelligent Systems, Machine Learning, Data Science, Data Mining, Artificial Intelligence"},{id:"27",title:"Multi-Agent Systems",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:{title:"Artificial Intelligence",id:"14"},selectedSubseries:null},seriesLanding:{item:{id:"7",title:"Biomedical Engineering",doi:"10.5772/intechopen.71985",issn:"2631-5343",scope:"Biomedical Engineering is one of the fastest-growing interdisciplinary branches of science and industry. The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. This series is intended for doctors, engineers, and scientists involved in biomedical engineering or those wanting to start working in this field.",coverUrl:"https://cdn.intechopen.com/series/covers/7.jpg",latestPublicationDate:"May 7th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:3,numberOfPublishedChapters:96,numberOfPublishedBooks:12,editor:{id:"50150",title:"Prof.",name:"Robert",middleName:null,surname:"Koprowski",fullName:"Robert Koprowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTYNQA4/Profile_Picture_1630478535317",biography:"Robert Koprowski, MD (1997), PhD (2003), Habilitation (2015), is an employee of the University of Silesia, Poland, Institute of Computer Science, Department of Biomedical Computer Systems. For 20 years, he has studied the analysis and processing of biomedical images, emphasizing the full automation of measurement for a large inter-individual variability of patients. Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:null,institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda",middleName:"R.",surname:"Gharieb",fullName:"Reda Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. Osma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDv7QAG/Profile_Picture_1626602531691",institutionString:null,institution:{name:"Universidad de Los Andes",institutionURL:null,country:{name:"Colombia"}}},{id:"69697",title:"Dr.",name:"Mani T.",middleName:null,surname:"Valarmathi",fullName:"Mani T. Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/79211",hash:"",query:{},params:{id:"79211"},fullPath:"/chapters/79211",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)}()