Locations of residential areas with gated communities (GCs) in Ibadan metropolitan area.
\r\n\tThe book will aim to cover also the synthesis and optical properties of noble metal nanostructures, patterned surfaces, continuous or grated surfaces, and devices. This book intends to provide the reader with a comprehensive overview of the current state-of-the-art in plasmonic microscopy, surface-enhanced spectroscopic properties, such as Raman scattering or fluorescence, as well developments in techniques such as surface plasmon resonance and near-field scanning optical microscopy but also data transmission, plasmonic light modulators, and optoplasmonic networks.
",isbn:"978-1-80356-003-8",printIsbn:"978-1-80356-002-1",pdfIsbn:"978-1-80356-004-5",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"15d44e3a7898842276a9a9da9863a59d",bookSignature:"Dr. Patrick Steglich",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11147.jpg",keywords:"Biosensors, Surface Plasmon Resonance, Optoplasmonic Networks, Plasmonic Communication, Fabrication Methods, Device Simulation, Device Optimization, Surface Plasmon Resonance, Plasmonic Microscopy, Phonon-Plasmon Interaction, Physical Background, Mathematical Background",numberOfDownloads:14,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 19th 2021",dateEndSecondStepPublish:"February 25th 2022",dateEndThirdStepPublish:"April 26th 2022",dateEndFourthStepPublish:"July 15th 2022",dateEndFifthStepPublish:"September 13th 2022",remainingDaysToSecondStep:"3 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"A senior researcher in photonics at IHP - Leibniz Institute for Innovations in Microelectronics, book author, lecturer at Technical Unversity of Applied Sciences Wildau, and holder of three registered patents.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"223128",title:"Dr.",name:"Patrick",middleName:null,surname:"Steglich",slug:"patrick-steglich",fullName:"Patrick Steglich",profilePictureURL:"https://mts.intechopen.com/storage/users/223128/images/system/223128.jpeg",biography:"Patrick Steglich is a research associate at the IHP - Leibniz-Institut für innovative Mikroelektronik, Germany, and lecturer for photonics and optical technologies at the Technical University of Applied Sciences Wildau, Germany. He obtained a master's degree in Photonics from the Technical University of Applied Sciences Wildau in 2013. In 2017, he received his PhD in Industrial Engineering from the Università degli Studi di Roma 'Tor Vergata” for his work in the field of integrated photonics for communication and sensing. His research focuses on emerging photonic devices and waveguide concepts for telecommunication and sensing applications.",institutionString:"Technical University of Applied Sciences Wildau",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:null}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"20",title:"Physics",slug:"physics"}],chapters:[{id:"81630",title:"Infrared Nano-Focusing by a Novel Plasmonic Bundt Optenna",slug:"infrared-nano-focusing-by-a-novel-plasmonic-bundt-optenna",totalDownloads:14,totalCrossrefCites:0,authors:[null]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"444315",firstName:"Karla",lastName:"Skuliber",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/444315/images/20013_n.jpg",email:"karla@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"77581",title:"Sino-Nasal Changes Associated with Midfacial Expansion: An Overview",doi:"10.5772/intechopen.99052",slug:"sino-nasal-changes-associated-with-midfacial-expansion-an-overview",body:'The human air sinuses are enigmatic in that numerous functional attributes have been associated with them, including humidification, warming, and cleaning of inhaled air; biosynthesis, storage, and concentration of nitric oxide (NO); an anterior ‘crumple zone’ to withstand frontal trauma, and lightening of the skull, presumably for flight in extinct dinosaurs and extant birds. Recent evidence even goes on to suggest that the paranasal sinuses might be vestigial organs of breathing [1]. In any case, originally, clinical palatal expansion was pioneered as an orthodontic technique to widen the upper dental arch in attempt to improve jaw relations and/or tooth alignment. However, the maxillary air sinuses also lie above and lateral to the hard palate, while the dentoalveolar structures, such as the roots of the maxillary molars, can project into the sinus floor. Medially, the nasal airway communicates with the maxillary sinuses, including the ostio-meatal complex. Because of this diverse structural arrangement, non-surgical and surgical palatal expansion techniques might have clinical consequences on the maxillary air sinuses, which are dependent on bony remodeling and subsequent pneumatization of the maxillo-palatine complex. Therefore, an overview of various midfacial expansion procedures that might induce anatomic alterations of the maxillary air sinus, that may in turn lead to functional and clinical changes, is warranted.
Numerous studies have deployed 3D cone-beam computed tomography (CBCT) scans to quantify morphologic changes associated with rapid maxillary expansion (RME). For example, Lanteri et al. [2] evaluated midfacial changes after slow maxillary expansion and RME in 8 yr-old children. They found that the volumes of the nasal cavity and maxillary sinuses increased after treatment in both protocols. Conversely, Garrett et al. [3] had earlier reported that RME in 14 yr-olds was associated with an increase in nasal width but a decrease in maxillary sinus width, implying that the increase in nasal functional space was gained by displacing the maxillary air sinus volume, although clinical consequences of these changes were not noted. However, in a similar study on 13 yr-olds treated with banded and bonded maxillary expanders, Pangrazio-Kulbersh et al. [4] found that both appliances induced anterior and posterior skeletal widening of the hard palate via the midpalatal suture, and their study demonstrated increases in both nasal cavity volume and maxillary sinus volume. On the other hand, Almuzian et al. [5] provided further details of the RME approach in 13 yr-olds. Over a period of 2–3 weeks, an average palatal width-increase of 3.7 mm was noted in males and 2.8 mm in females. These linear changes were found to be correlated with maxillary sinus volume changes. Therefore, it can be surmised that anatomical differences in the outcome of RME might simply be explained by differences in the design, materials and protocols of the devices used.
A non-surgical variant of RME, maxillary protraction, deploys the use of facemasks (FM), particularly in cases of Class III malocclusion that exhibit a maxillary deficiency. Pamporakis et al. [6] assessed midfacial alterations, including the volume of the maxillary air sinuses in 10-yr-old children, associated with an RME-FM protocol for 10 days. Using this technique, they reported an overall increase in maxillary sinus volume post-treatment. However, the authors also noted that the RME-FM protocol did not affect all the maxillary sinuses, indicating that there may be a range of responses, presumably related to individual craniofacial morphology. In another variation of RME, alternate RME and constriction is sometimes deployed followed by FM. Onem-Ozbilen et al. [7] used this protocol on 10-yr-old children with a skeletal Class III phenotype, exhibiting maxillary retrognathia, over 10–12 months. It was found that the maxillary sinus volumes increased. Therefore, the authors concluded that different expansion devices and protocols can effect disparate changes in maxillary sinus volume. This deduction was borne out by the study of Erdur et al. [8] who used symmetric and asymmetric rapid maxillary expansion (ARME) treatments in patients aged 12-15 yrs. While maxillary sinus volume changes were greater in the RME group post-treatment, in the ARME group, no changes in sinus volume were found. Since bilateral symmetry is a feature of human development, these results are not perhaps surprising as the craniofacial system may regress to homeostasis once the devices are removed.
The age at which these various palatal expansion protocols are applied may also be pertinent. Most of these types of studies have been undertaken in pediatric populations but the efficacy of palatal expansion in older individuals is also worth considering. In fact, Machado-Júnior and Crespo [9] opine that maxillary expansion in adults requires further due diligence. In this regard, Kavand et al. [10] studied maxillary expansion with bone- and tooth-borne appliances in adolescents. They reported that both groups showed an increase in nasal cavity volume, but not maxillary sinus volume, even though the maxillary bone width increased. This is an interesting finding because by age 15 yrs. the second maxillary molars are often fully erupted and root formation is typically completed, giving little or no room for continued pneumatization until the maxillary third molars evacuate the body of the maxilla, which is rare, since unerupted, impacted wisdom teeth is a common finding on radiographs. Thus, in adolescents, RME is unlikely to result in an increase in maxillary sinus volume. In contrast, Singh and Kim [11] found that a biomimetic approach to palatal expansion increased maxillary sinus volume by some 6.5% in adults (mean age approx. 25 yrs.) accompanied by a mean palatal width increase of approx. 3 mm, which is similar to that achieved in teenagers as noted above. Therefore, while morphologic differences in the outcome of non-surgical RME might be explained by disparate designs, materials and protocols of the devices used, if the laws of biologic control, such as sutural homeostasis and pneumatization, are not violated, enhancement of maxillary sinus morphology might be possible even in adults, perhaps leading to improved clinical outcomes.
One of the roles of the paranasal sinuses is the biosynthesis of nitric oxide (NO). It is known that NO plays important roles in a diverse range of physiologic and patho-physiologic processes, including antimicrobial activity, pulmonary vascular resistance, alveolar oxygen transfer, neurotransmission, respiration, as well as its anti-inflammatory activities [12, 13]. Lundberg et al. [14] were some of the first to report that NO originates from the paranasal sinuses and that NO synthase is expressed in healthy sinus pneumocytes. In addition, Andersson et al. [15] found extremely high concentrations of NO in the paranasal sinuses, suggesting that the antra may act as NO reservoirs. Furthermore, Runer et al. [16] noted that NO is likely to be a regulator of mucociliary activity in the nasal airway. In contrast to these healthy states, Deja et al. [17] found significantly reduced NO production in maxillary sinuses of patients with sinusitis diagnosed using radiologic methods. Similarly, Naraghi et al. [18] reported that NO metabolites are higher in patients with chronic sinusitis and concluded that NO metabolites may play an important role in the pathogenesis of rhinosinusitis. In view of these findings, Degano et al. [19] investigated changes in NO concentration during the treatment of maxillary sinusitis. Using a protocol that included drainage, daily lavage, etc., a significant increase in the levels of maxillary and nasal NO was noted. Therefore, morphologic and functional optimization of the paranasal sinuses using non-surgical palatal expansion might be beneficial in the management of some sinus diseases.
In pediatric rhinitis, Wen et al. [20] consider that NO is a useful biomarker for both nasal inflammation and sinus ostial patency. In their study, they determined that obstruction of NO sino-nasal flow is likely associated with rhinosinusitis since NO concentrations returned to normal levels following antibiotic therapy. On the other hand, in a case series, Hwang et al. [21] reported their findings on pediatric rhinosinusitis during biomimetic oral appliance therapy (BOAT). Figures 1a–3b summarize their findings. In 3 consecutive pediatric patients (mean age 9 yrs.), Hwang et al. [21] used 3D cone-beam CT scans to show inflammatory maxillary sinus disease with circumferential mucosal thickening, obstructed ostio-meatuses, and enlarged inferior turbinates (Figures 1a,2a and 3a) prior to treatment. All 3 cases were treated using BOAT for approx. 10 months. Post-treatment, the sinuses were aerated without mucosal thickening; the sinus walls were intact, and the ostiomeatal units were patent (Figures 1b,2b and 3b). Although enhancement of maxillary air sinus structure and function through non-surgical remodeling is presumed, there is no clear mechanism of how the sinuses improved during BOAT in these cases. It is possible that the sinusitis resolved through the natural immune response, seasonal changes, through normal craniofacial growth or the placebo effect. However, enlargement of the ostium (>20 mm2) is thought to decrease sinus NO concentration, as the size of the ostium shows correlation to NO levels [22]. Since the width of the nasal floor increased in these 3 cases (Figures 1b,2b and 3b), the notion that BOAT involved remodeling of the ostia to within normal limits is yet to be determined.
Aside from non-surgical palatal expansion, a plethora of surgical maxillary expansion procedures has become available. One study [23] compared the effects of non-surgical RME with surgically assisted rapid maxillary expansion (SARME). Surprisingly perhaps, there were no differences between the two protocols since nasal cavity width and volume, as well as maxillary width, increased with a concomitant decrease in nasal airway resistance. If non-surgical and surgical techniques yield similar results, one of the questions that currently remains unanswered is, how to minimize or avoid (orthognathic) surgery? To address this subject, Lee et al. [24] described the use of orthodontic screws for mini-screw-assisted rapid maxillary expansion (MARME), since some mistakenly believe that non-surgical palatal expansion relies on unwanted dental tipping rather than actual skeletal expansion. Bearing this in mind, Carlson et al. [25] treated a 19-year-old using MARME. Post-treatment, they reported enlargement in the zygomatic regions and nasal bone regions in association with widening of the circum-maxillary sutures. Indeed, MARME utilizes forces to split the midpalatal suture, which precipitates a midline diastema, an unwanted dental effect. However, insufficient force application may render MARME unsuccessful. Therefore, Suzuki et al. [26] deployed cortical punctures along the midpalatal suture followed by mini-screw insertion to fracture the midpalatal suture by 3-4 mm in an adult patient.
Despite the above variations, the impact of MARME on the upper airway and breathing is not clear. Recently, Abu-Arqub et al. [27] reviewed the effects of MARME on the upper airway in pediatric patients aged 10-17 yrs. They concluded that while short-term improvements were identifiable, no correlation was observed between upper airway morphology and functional parameters, such as nasal airflow and nasal resistance. Similarly, in older patients (mean age 20 yrs.), Yi et al. [28] found that although MARME produced both skeletal and dento-alveolar expansion, there were no changes in the oropharyngeal, palatopharyngeal, and glossopharyngeal regions and the total airway volume remained unaltered on 3D CBCT scans. In another study [29], it was reported that MARME produced an increase in nasal cavity and nasopharyngeal volumes, associated with bony expansion of the nasal floor and maxillary width in young adults (mean age 22.5 yrs.). Thus, when assessing changes on 3D CBCT scans after MARME, the association between skeletal changes and the upper airway remain unclear. Despite these assertions, Singh et al. [30] tested the hypothesis that the upper airway can be improved non-surgically in adults using BOAT. The mean treatment time was 16.5mos. and CBCT scan measurements were taken with no device in the patient’s mouth. Their multivariate tests confirmed a significant treatment effect on the upper airway parameters (p = 0.012), suggesting that both craniofacial architecture and upper airway morphology can be non-surgically enhanced even in adults. However, this novel approach remains overlooked although further evidence is emerging.
To enhance orthopedics effect induced by MARME, 4 mini-implants with palatal and nasal cortical engagement are sometimes positioned in the palate, when using the maxillary skeletal expander (MSE) technique. Cantarella et al. [31] investigated the effects of this particular protocol on the midpalatal and pterygopalatine sutures in young adults (mean age 17 yrs.). Using CBCT scans, it was found that the midpalatal suture was split slightly asymmetrically, being wider anteriorly than posteriorly. Moreover, pterygopalatine disjunction was revealed in over half of the cases studied, as the pyramidal process of the palatine bone was dislocated from the pterygoid processes. In a similar later study, Cantarella et al. [32] assessed facial changes associated with MSE, again using CBCT scans. Here, it was reported that the zygomatico-maxillary complex showed centrifugal changes with a “center of rotation” located at the fronto-zygomatic suture. Consequently, the inter-zygomatic distances and the fronto-zygomatic angles increased using MSE, but no data on any associated nasopharyngeal airway changes were reported in these particular studies. However, to further locate the center of rotation for the zygomatico-maxillary complex associated with MSE, Cantarella et al. [33] reported that the center of rotation for the zygomatico-maxillary complex could be found more inferiorly, posteriorly and laterally (near the zygomatic process of the temporal bone) compared with their other study [32]. In contrast, Paredes et al. [34] concluded that the center of rotation for the zygomatico-maxillary complex is located at the most infero-lateral point of the zygomatic process of the frontal bone. This variation in the center of rotational displacement could be due to bone deformations that are thought to occur during MSE, which might also explain the occurrence of pterygopalatine dislocation. In fact, Colak et al. [35] evaluated pterygopalatine disarticulation patterns after MSE. The vast majority of cases (> 80%) exhibited pterygopalatine disjunction without direct surgical intervention at this site. The clinical consequences of this iatrogenic fracture, if any, remain undetermined, at least as yet.
Recently, in order to avoid the potential risk of damaging anatomical structures, Cantarella et al. [36] suggested that the deployment of 3D virtual surgical planning using digital data might be advantageous prior to undertaking MSE. Elkenawy et al. [37] were also interested in the biomechanics of MSE. In their study, they noted that over half of approx. 30 adult patients exhibited an asymmetric response following splitting of the midpalatal suture. This result is perhaps not surprising since the midline vomero-maxillary suture would presumably provide an impediment to a symmetric split based
Using CBCT data, the maxillary complex has been rendered in 3D virtual space and dense correspondence of (colored) landmarks has been computed using the ten homologous landmarks (1–10).
Distraction osteogenesis maxillary expansion (DOME) is another technique that aims to improve the nasal airway changes through widening of the maxilla. Using this approach, Kunkel et al. [43] were able to enlarge the nasal airway volume by 23% on average without pterygomaxillary disjunction being a part of the surgical procedure, which occurs in any case. Despite this drawback, DOME is currently viewed as a reliable procedure to widen the nasal floor in adults with OSA. Using this protocol, the mean apnea-hypopnea index (AHI) was improved, nasal airflow velocity decreased and the mean negative pressures in the nasal, retropalatal, oropharyngeal, and hypopharyngeal airway were reduced, which correlated with a reduction in the AHI, according to Iwasaki et al. [44]. These findings are, however, similar to the well-known results of non-surgical RME using fixed appliance in children. For example, in pediatric cases, Cozza et al. [45] reported that there was a reduction in nasal resistance with increased nasal airflow after RME. Indeed, RME is thought by some to be a comparatively non-invasive, economic treatment option to improve nasal respiration in patients up to at least 30 years of age. Gray [46] considers the medical indications for RME are a deficient nasal airway, septal deformity, recurrent ear infection, and allergic rhinitis,
In an early study, Warren et al. [47] assessed the effects of non-surgical RME and surgical expansion on nasal airway size. While both procedures improved the nasal airway, approx. 30% of subjects in both groups were unable to eliminate the need for mouth breathing, suggesting that neither RME nor surgical maxillary expansion is justified for nasal breathing purposes alone, likely due to individual variation in response. Bicakci et al. [48] were one of the first to assess the effect of RME on nasal cross-sectional area using acoustic rhinometry, confirming that the overall increase in the cross-sectional area was greater in the RME-treated groups when compared to controls. Around the same time, Ceroni-Compadretti et al. [49] also reported that RME increased both the width of the maxilla and the nasal volume, as measured with acoustic rhinometry. Furthermore, Compadretti et al. [50] deployed rhinomanometry and acoustic rhinometry to assess the function and size of the nasal cavities associated with RME in children. Compared to a control group, the RME treatment group showed an increase in nasal cross-sectional area and volume, as well as a decrease in nasal airway resistance, but the study was unable to confirm the clinical mode of breathing. Likewise, Palaisa et al. [51], using CT scanning, explored the relationship between morphologic changes in nasal area and volume following RME in young patients (8-15 yrs). They reported symmetric increases in both nasal cavity area and volume although the variance in response was again large. Similarly, Oliveira de Felippe et al. [52] concluded that post-expansion, while nasal cross-sectional area increased when measured using acoustic rhinometry, and nasal cavity volume increased using 3D imaging, only 60% of subjects reported subjective improvement in nasal respiration. Therefore, Enoki et al. [53] correctly concluded that RME may lessen nasal resistance but subtle differences in nasal geometry, such as shape changes as opposed to size-changes, may influence success in switching from mouth breathing to nasal respiration.
Currently there is a lack of consensus on the reliability of RME-related procedures in improving nasal functional behaviors, such as changing mouth breathing to nasal breathing predominantly. Hershey et al. [54] noted that patients’ subjective opinions on changes in the ability to breathe nasally are not correlated to reductions in treatment-induced nasal resistance, even though RME is effective in reducing nasal resistance to levels consistent with nasal respiration. For example, Doruk et al. [55] found that nearly 60% of 13-yr-olds considered their nasal breathing had improved following RME using subjective evaluation. Earlier, using rhinomanometry, Timms [56] measured nasal airway resistance prior to and after RME in patients aged 10 to 19.5 yrs. On average, a 36% reduction in nasal resistance was reported but this did not correlate with the transpalatal or trans-alar width increases post-expansion. Similarly, Hartgerink et al. [57] surmise that individual variation in nasal resistance values is considerable and that average response variability renders RME unpredictable in terms of decreasing nasal resistance despite evidence of expansion at the anterior nares. In this regard, White et al. [58] reported a mean reduction in nasal airway resistance of approx. 50% after about one-year post-RME. Moreover, they noted that the reduction in nasal airway resistance was correlated to the initial nasal resistance level prior to RME, and that individuals with greater resistance pre-expansion tended to have greater reductions post-treatment. This notion had earlier been investigated using a multidisciplinary approach [59]. Utilizing a combination of RME and oral myofunctional assessment using rhinomanometric measurements, two phenotypes were identified: first, predominantly mouth breathers, showing an average nasal airway resistance decrease of 34%; and second, predominantly nasal breathers with an average nasal airway resistance decrease of <5%. Notably, 75% of predominantly mouth breathers were converted to nasal breathing. Thus, it appears that maxillary deficiency allied with functional deficits needs a tailored approach to be adopted to address the mode of respiration.
It is thought that nasal surgery alone can fail to restore nasal breathing in various cases with maxillary restriction, which is associated with closure of the internal and external nasal valves. In addition, although some now generally agree that RME in both children and adults increases upper airway volume, it remains uncertain whether maxillary expansion improves nasal function. Thus, recently, Iwasaki et al. [60] investigated the efficacy of three RME appliances on nasal ventilation in 10-16 yr. old patients. They reported that RME reduced nasal pressure and nasal airflow velocity, which was accompanied by resolution of nasal obstruction. Nevertheless, Calvo-Henriquez et al. [61] undertook a systematic review on this subject, concluding that there is insufficient evidence to recommend maxillary expansion as a first-line therapy to improve nasal breathing. Despite this assertion, one aspect that remains under-investigated at this juncture is the role of nasal exercises. In the interpretation of numerous studies, it has simply been assumed that an increase or enhancement of anatomical form will result in the desired functional response. But, in their review, Levrini et al. [62] suggest that if RME is combined with functional rehabilitation, the chances of changing a mouth-breathing pattern to nasal respiration are increased. Therefore, the role of respiratory therapists and/or oral myofunctional therapists may need to be extended to include nasal breathing exercises perhaps allied with the use of capnography for biofeedback. In any case, Kiliç and Oktay [63] are of the opinion that while RME increases nasopharyngeal airway dimensions and nasal respiration in pediatric patients exhibiting maxillary constriction and mouth breathing, RME could also be effective on naso-respiratory and sleep-disordered breathing problems in children.
Pirelli et al. [64] evaluated the effect of RME on nasal airway patency and pediatric OSA. On postero-anterior and occlusal radiographic assessment, widening of the midpalatal suture and nasal fossae were confirmed, and restoration of nasal airflow was associated with elimination of obstructive sleep disordered breathing. Therefore, changing the anatomic structure using RME produced significant functional improvement in pediatric patients diagnosed with OSA. On the other hand, Garcez et al. [65] demonstrated the effects of MSE on respiratory function and athletic performance. Using CBCT scans they reported a 6 mm widening of the midpalatal suture and nasomaxillary structures, while the nasal and pharyngeal airways also increased in volume by 30%. In addition, all respiratory indices improved after MSE. Thus, MSE can potentially have a positive influence on both respiratory functions and athletic performance. Recently, Singh et al. [30] also reported a 14% increase in nasal cavity volume achieved non-surgically in adults using a biomimetic oral appliance. Therefore, one of the research question that needs to be addressed now is: Which procedure best suits a particular patient’s requirements both safely and effectively? Taking a cohort of cases that have had the same intervention, it should be possible to compute the mean, underlying transformation for a sample of cases. If this transformation can then be applied to a naïve subject, a predictive model can be achieved, assuming the new subject behaves in the same way that the sample did on average. Therefore, the use of mathematical modeling on 3D digital data provides a promising avenue of future research in terms of virtual treatment planning, perhaps incorporating the use of artificial intelligence to inform clinical decision-making.
Non-surgical and surgical midfacial expansion techniques are associated with functional sinus changes in the paranasal sinuses as well as changes in nasal airway space, nasal resistance and the mode of breathing. To address the question of which procedure best suits a particular patient’s requirements both safely and effectively, the use of mathematical modeling provides a promising approach.
Professor G. Dave Singh is Founder and Chief Medical Officer of Vivos Therapeutics, Inc., USA. He is currently collaborating with Stanford University in the development of a craniofacial facility.
The study of the types and characteristics of Gated communities (GCs) in Ibadan is very significant in housing development. Several problems, as well as advantages regarding GCs have been acknowledged in the literature, these include: reducing crime temporarily or permanently; decreasing the fear of crime or make available psychological respite; which can lead to an improved sense of community; which enhanced a sense of ownership and obligation [1]. The undesirable aspects are: generating a false sense of privacy and safety; relocating crime; segregating communities; decreasing response times of emergency vehicles; causing tension and conflict between urban residents; enhancing the fear of crime; triggering social segregation; increasing urban separation and fragmentation; causing problems with regards to services and maintenance [2].
A GC is a housing community that has a security gate situated at the front entrance. Occasionally the whole neighbourhood is fenced inside a perimeter of gates. It is a housing development with controlled access and exit [3]. These physical developments, in combination with security guards, substitute the older social control devices, which are centred on social unity within the community concerned. In its current form, a GC is a form of a housing estate or residential community comprising strictly-controlled entries for walkers, bicycles, and cars, and regularly branded and characterised by a closed perimeter of fences and walls [4]. GCs typically consist of minor residential roads and comprise numerous shared facilities. For smaller communities, this might be only a garden or other common area. For larger communities, it might be likely for inhabitants to stay inside the community for most day-to-day doings. GCs are a kind of communal interest development but are different from deliberate communities [5].
Enclosed neighbourhoods denote existing neighbourhoods that ensure controlled access through booms or gates across main roads. Many are enclosed with fence or wall as well, with a limited number of controlled entrances and exits with security guards at each point in some circumstances [6]. In certain cases the streets within these neighbourhoods were before, or still is public assets and in several cases, the local council is still accountable for public amenities to the community within. The roads in these areas are private, and most of the time, the maintenance and management are carried out by a private management organisation [7]. Enclosed neighbourhoods have become an occurrence to be taken earnestly in Nigeria; not only those who desire to live in such development but also those who are concerned with urban management and planning, in addition to the social tendencies that determine human social relations and social dynamics within urban areas in Nigeria [8].
The important issues arising from the study will make known the true image of these gated housing designs in term of their spatial organisation of spaces and level of safety. It will help in making urgent and necessary changes in the current system in prevailing gated communities and also aid in evading these challenges and problems for gated estate developers and government on policies implementation. Combined with an understanding of the characteristics identified, a study of the types of GC in Ibadan can go a long way to assist policymaker and role players, especially local governments, to make more informed decisions. It will be important for future policy decision making in Ibadan to understand the types and characteristics of GCs have on the urban environment and the implications for urban management and maintenance. This study will pave the way for future research in terms of neighbourhood safety development and sustainability of the neighbourhood system. It is now up to policymaker to interpret this information that had been gathered to investigate the local situation.
The concept of GCs is a fast-growing one especially in response to safety and security all over the country. Equally one can found the road and street closures in major cities of Nigeria. They came up in response to the fear of crime and insecurity within the non-GCs. One of the concerns is the government’s inability to protect the property and the life of all its citizens especially in developing countries like Nigeria [8]. This necessitated the formation of private alternatives to crime control and prevention. A relatively innovative trend as an architectural conception is that of the GC. The growth and development of GCs in Nigeria is more of a reaction to the high level of fear of crime and insecurity in the nation’s city centres. It is common these days to see many important streets close up with gates and booms all in the bid for a secure and safe environment [9]. The need for enhanced property value, privacy, safety and security resulted in an enclosed area, including the need to feel safer. Security, social connectivity and safety are also linked to a greater sense of identity and community, the necessity to bring the entire community together to enhanced common ideals and values [5, 10].
The notion of GC is a complex issue that can be described by sets of cultural, architectural, economic, demographic, societal, political and psychological factors that are unpredictable. GCs are defined, according to Low, [11] as a residential neighbourhood with gates and walls enclosing the development, which excludes non-residents access to all inside amenities plus residences, activities and open space. As crime turn out to be more of a threat to that feeling of security, privacy and safety, inhabitants are, in line with Blakely and Snyder, [12] turning to high walls and gates enclosing residential areas, thereby privatising and segregating parts of the urban area. The growth of safety enclaves is a global phenomenon [13].
Landman, [14] described a GC as a physical area that is fenced or walled off from its environments, elimination or controlling entrance to these areas employing booms or gates. In numerous cases, the concept can refer to as a residential area with controlled access, so that common public spaces have their uses restricted and privatised (García de Alba, [15]). In the area were the crime rates is high, enclosed neighbourhoods are perceived by many as the only alternative for crime deterrence [7]. It takes place in many forms in a large number of countries. Within a short period, GCs have rapidly increased in Nigeria. This has been the case for several different types of GC. Even though the major evolution of enclosed neighbourhoods has happened in city areas, especially in Oshogbo, Kaduna, Kano, Lagos, Port Harcourt and Ibadan among others, the occurrence has not been restricted to these cities. Several applications for neighbourhood enclosures have also been received in municipalities [5]. In the context of high crime rates, many people consider security villages or enclosed neighbourhoods the only choice for safety living in metropolises. Nevertheless, not all people come to an understanding that this is the best or only solution to crime prevention in the country [9].
The major motivating and determining factors behind enclosure and gating, according to Low [11], are fear of crime, property values, and nice environments, the search for safety, privacy, security, prestige, lifestyle, control, exclusivity and community attachment as driving factors to GC developments. Residing in segregated housing spaces in the city is a multifaceted social process that is not only the consequence of the fear of crime also is a way to relocate from urban disorder, to establish seclusion of social homogeneity and to establish new forms of local government [12].
Grant and Mittelsteadt, [16] acknowledged eight factors that distinguish GCs from their neighbourhood to include safety features and barriers, functions of the enclosure, facilities and amenities included, tenure, type of residents, location, policy context and size. Several authors agreed that gated developments reveal a rising trend to private governance and private communities [17]. GCs are believed to have characteristics of social interaction, safety, good life, privacy, freedom from maintenance, exclusivity and homogeneity [18]. Residents choose to move into CGs for reasons such as increased privacy and safety, traffic and noise reduction, yard maintenance and aesthetics, prestige, exclusivity, control, and the increase in property values. By their implication, GCs isolated residents from the larger urban environment [14]. Planners encourage GCs because they lack mixed uses, diversity, connected street systems and public open space. Planners can make alternatives against the appeal of GCs development by providing local community meeting places and better public safety [19].
GCs, which are dispersed all around the world, vary from country to country, with reverence to their characteristics and in specific to different motives for development viz. safety, privacy, security, prestige and ethnicity [20]. These GCs are way out for everyday problems of ethnic conflicts and high crime rate. They intensely restructured the urban forms of many cities. GCs signify the hope of privacy, safety, offer an important position to marketing strategy for developers in a competitive environment, attractive to consumers looking for identity and a sense of community, increase property values and exclude none resident, from attractive amenities (Blakely and Snyder 1998; [21]).
According to Górczyńska [22] there exist various classifications of GCs that relate to their organisational, functional, and morphological parameters. The classification explained by Blakely and Snyder, (1998) presents three key types of GCs to inhabitants’ motivations and characteristics: GCs is inhabited by those searching for safety and by people with the same lifestyles and by elites. From this study, the typologies of GCs vary slightly from those offered for Western countries. Brabec and Sýkora [23] have categorised three main categories of GCs: (1) guarded, (2) guarded and walled, and (3) walled communities that relate to the level of luxury of each type of community and the first type are the most luxurious. Another classification identified by Hegedűs, [24] was established on the supplementary functions of GCs (facilities for inhabitants such as swimming pools and playgrounds) and the existence of particular fences and gates. With these features, three types of GCs were identified: (1) GCs with incomplete functions (2) GCs with complete functions, and (3) lacking any physical separation but delivering amenities.
The prevailing typologies of gated neighbourhoods are mostly grounded on the morphological features of estates [25, 26] or the types of protection used [27]. In line with Glasze [25], there exist two main types of GCs: condominiums (usually luxurious buildings in the central districts) and gated estates composed of multi-family houses, single-family houses and terraced houses [25]. Hence, this type agrees to the elite type identified by Blakely and Snyder (1998). Regarding gated estates composed of numerous buildings, their diversity in terms of standard, size, and quality is tremendously large, and their inhabitants signify both middle and upper classes [22].
A more multifaceted typology of gated estates was suggested by Chabowski [28], who concentrated on eight features: (1) the period of construction, (2) the extent of closed space, (3) the scale of closure, (4) the number of storeys, (5) the period of closure, (6) characteristics of surrounding areas, (7) architectural types and (8) quality and price of dwellings. This typology matches up to the great diversity of GCs. Within those categories of functions and other factors the typology add considerations of the character of facilities and amenities, spatial patterns, level of affluent and the type of security features. Each of these physical characteristics relates to a single function. For example, Blakely and Snyder, [12] discuss the level of affluence as the main factor in prestige communities but give it lesser important in lifestyle and security zone communities. Aulia and Suryani, (2020) identified the typology of gated housing based on the development and growth in the city of Medan which were classified into three sets, specifically large-scale gated housing, medium-scale gated housing and small-scale gated housing. Given the limited study on typological analysis of GCs and little attention been paid to the defensive physical characteristics in the context of gated communities holistically in a developing country like Nigeria; hence, the need to exploit and look critically at these issues in Ibadan. This study attempted to fill the gap with a particular interest in a quantitative study which is relevant and important in housing.
There are 30 residential areas with Gated Communities (GCs) in Ibadan. Five (5) residential areas consisting of fifty-seven (57) GCs were purposively selected for demonstrating typical GCs characteristics (see Table 1). These include Agodi Government Reservation Area (AGRA), with ten (10) GCs; New Bodija Scheme (NBS) with fifteen (15) GCs; Old Bodija Scheme (OBS) with thirty (30) GCs; Kolapo Ishola Scheme (KIS) with one (1) GC and Alalubosa Government Reservation Area (ALGRA), with one (1) GC. Thirty GCs representing 52.6% of the 57 GCs were sampled from the five residential areas. There are a total of four thousand, nine hundred and twenty-two (4,922) residential buildings in the selected GCs. Four hundred and ninety-three (493) representing 10% of the residential buildings were selected and from which each household head was sampled using a systematic sampling technique. The data collected were analysed using descriptive and inferential statistics. Table 1 shows the locations of residential areas with Gated Communities (GCs) in Ibadan metropolitan area and Table 2 shows the target population for the study while Table 3 shows the distribution of administered and returned questionnaires.
S/NO | Local Government Area | Government Reservation Area | Local Govt. Scheme | Property Dev. Corp Scheme | Total GCs Areas |
---|---|---|---|---|---|
1 | IBADAN NORTH | Agodi GRA Mokola Low-Cost Housing Scheme Samonda Scheme (Old-Airport) Oke-Aremo Housing Scheme | Sabo Housing scheme Mokola Layout | Old Bodija Scheme New Bodija Scheme | 8 |
2 | IBADAN NORTHWEST | Jericho GRA Onireke Comm. & Links Reservation Onireke Housing Estate | None | None | 3 |
3 | IBADAN SOUTHWEST | Iyaganku GRA Alesinloye GRA Alalubosa GRA Ring Road HOP. GRA | Ring Road Layout Liberty Layout Oluyole Scheme Lagos Bye Pass Layout (Mixed Dev.) | Owode Housing Scheme now in Ido Local Government Area | 10 |
4 | IBADAN SOUTHEAST | None | Lagelu Residential Scheme, Felele Express | None | 1 |
5 | AKINYELE | None | Idi-Ose Layout | None | 1 |
6 | EGBEDA | Ife Road Scheme | None | Olubadan Scheme, AJODA | 2 |
7 | ONA ARA | Ogbere Housing Scheme | *Local Government Residential Layout | None | 2 |
8 | LAGELU | Kolapo Ishola (Old Dairy Farm) Scheme | Okebadan Scheme –Akobo/Alegongo | Akobo Scheme Iwo Road (Lalupon) | 3 |
Total | 30 |
Locations of residential areas with gated communities (GCs) in Ibadan metropolitan area.
S/NO | The Study Population (20% of the target population selected purposively | The number of Gated Communities (GC) Identified in the Study Population. | The number of Gated Communities (GC) selected for the study. According to proportion | Sampling Frame (No of houses) | Sampling Size (10% of the household head selected using systematic sampling) |
---|---|---|---|---|---|
1 | Old Bodija Scheme | 30 | 15 | 2,495 | 250 |
2 | Agodi GRA | 10 | 5 | 492 | 49 |
3 | New Bodija scheme | 15 | 8 | 800 | 80 |
4 | Kolapo Ishola Scheme | 1 | 1 | 300 | 30 |
5 | Alalubosa GRA | 1 | 1 | 835 | 84 |
Total | 57 | 30 | 4,922 | 493 |
Target population for the study.
S/no | The Study Population | The number of Gated Communities (GC) selected for the study. | Number of Administered Questionnaires | Percentage of Questionnaires Administered | Number of Questionnaires Returned | Percentage of Questionnaires Returned |
---|---|---|---|---|---|---|
1 | Old Bodija Scheme | 15 | 250 | 50.7 | 202 | 41.0 |
2 | Agodi GRA | 5 | 49 | 9.9 | 39 | 7.9 |
3 | New Bodija scheme | 8 | 80 | 16.2 | 64 | 13.0 |
4 | Kolapo Ishola Scheme | 1 | 30 | 6.1 | 24 | 4.9 |
5 | Alalubosa GRA | 1 | 84 | 17.0 | 67 | 13.6 |
Total | 30 | 493 | 100 | 396 | 80.4 |
Distribution of administered and returned questionnaires.
About 493 questionnaires were distributed out of which 396 (80.4%) were returned. Table 3 shows the distribution of returned questionnaires across the GCs selected for the study.
This section aims to describe the physical characteristics of GCs in the study areas. In other to achieve this, 10 randomly selected experts from academia and practising firms who are members of Nigeria Institute of Architects and who are conversant with the study areas were selected for the study. The selection requirements for the panel are that such personality must be a design expert and urban planner from academia in addition to professional practice based on their technical know-how and proficiency. These were selected from catalogue of Architect Registration Council of Nigeria (ARCON). These experts comprehensively and objectively measured the subjective physical characteristics of the neighbourhood using ratings from an expert panel from the variables that comprised: the four (4) key elements of physical characteristics which are territoriality, surveillance, milieu and image. These were used as parameters in describing the characteristics of the study areas. This means that the study measured these elements in the areas to be able to describe the characteristics of each area.
The results of the observation of the neighbourhoods that constitutes the communities are discussed under the four (4) elements using the indicators earlier enumerated.
Looking at the first indicator to measure territoriality of the study areas which is the use of landscape to create clear boundaries (see Table 4) it seems that KIS has the highest index at 2.8 while NBS has the least with 1.6. However, having the highest index at 2.8 out of a possible 5.0 seems to means that all the study area did not make much use of landscape as a good tool to create clear boundaries between the respective units. In terms of maintenance and cleanliness of the neighbourhood in the study area, KIS (again) seems to be the area that takes a keen interest in keeping highly maintained neighbourhood given its index of 4.4 while NBS neighbourhood appears not to take good care of its unit with an index of 2.4.
Indicator | Neighbourhood | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
Use of landscape to create clear boundaries | 12 | 2.4 | 10 | 2.0 | 8 | 1.6 | 14 | 2.8 | 10 | 2.0 |
Maintenance and cleanliness of the premises | 17 | 3.4 | 17 | 3.4 | 12 | 2.4 | 22 | 4.4 | 15 | 3.0 |
Clear definition of territories | 15 | 3.0 | 11 | 2.2 | 11 | 2.2 | 12 | 2.4 | 15 | 3.0 |
Elements used to define territories (such as walls, furniture and paving stones) | 25 | 5.0 | 5 | 1.0 | 13 | 2.6 | 25 | 5.0 | 25 | 5.0 |
Definition of ownership | 5 | 1.0 | 5 | 1.0 | 5 | 1.0 | 5 | 1.0 | 7 | 1.8 |
Security sings at the entrance | 20 | 4.0 | 5 | 1.0 | 10 | 2.0 | 20 | 4.0 | 25 | 5.0 |
Elements to restrict access | 20 | 4 | 16 | 3.2 | 8 | 1.6 | 17 | 3.4 | 20 | 4.0 |
Total | 3.50 | 1.97 | 1.91 | 3.29 | 3.40 |
Territoriality of the Neighbourhood.
Also, there appears to be a wide gap in maintenance culture that include roads maintenance and building maintenance and landscape maintenance among others between the best-maintained areas and the least maintained. Figure 1 above shows an example of overgrown grass in the open spaces of the Old Bodija area. Also, as shown in Table 4 OBS and ALGRA seems to have the clearest definition of territories as evidence by its index of 3.0 each while Agodi GRA New and Bodija Scheme seems to have a relatively weak definition of its territories given an index of 2.2 the result also goes to show that it seems that all the areas do not have their territories clearly defined given a 3.0 index as the highest. In terms of elements used to define those territories, ALGRA & KIS seems to have an excellent return, this is manifested by an index of 5.0, while on the other end, Agodi GRA did not seem to care about the use element to define their territories. This can be seen in their index of 1.0. The wide gap between these areas underlines the ease with which areas seem to use simple elements to define their territories in their neighbourhoods, in the case of signs to define ownership; ALGRA seems to make the best effort at an index of 1.8 while all others areas have lower than this. However, the highest index of 1.8 shows that perhaps not much effort is invested by the residents in putting signs that define ownership. Figures 2–4, below show evidence of ownership in ALGRA.
Picture showing the low level of maintenance in the neighbourhood.
Demonstration of ownership in ALGRA.
Wall around the GC and the security gate in ALGRA.
Street and entrance to ALGRA.
As for security signage at the entrance to the areas and neighbourhoods in the study areas, ALGRA seems to be in the forefront with an index of 5.0 while lowest is Agodi GRA with an index of 1.0. For Elements to restrict access ALGRA & KIS seems to have a better usage with an index of 4.0 and the lowest was New Bodija with an index of 1.6.
In summary, ALGRA has the highest Territoriality index with 3.4 this was as a result of Elements used to define territory and Security sings at the entrance while NBS has the lowest index of 1.91.
The study shows that looking at the first indicator of this element, which has to do with the placement of windows to overlook sidewalks; Agodi GRA had highest with an index of 3.4 while KIS and ALGRA do not seem to have their windows placed in such a way as to overlook sidewalks with an index of 2.6. The average values of this index also seem to confirm the fact that the ability to overlook sidewalks may not be a primary consideration during the design and construction of most of the units in the study areas. Considering the height of the fence to permit surveillance in the neighbourhoods, Agodi GRA and NBS has the highest index of 4.2 while KIS is the least at 2.6. Figures 5 and 6 shows pictures of security gate and guardhouse, exits gate under lock and key. In the case of external light to eliminate blind spots, OBS seems to fare better than all the other neighbourhoods with an index of 3.6 while NBS does not seem to enjoy much of external lighting and thus the least index of 1.8 (see Table 5) But for vehicular traffic, OBS seems to enjoy a sizable amount over and above the others with an index of 3.8 while NBS seems to have the least with an index of 2.2. This may be explained by the fact that OBS is surrounded by an impressive network of important roads, signage, derelict gate, school, abandon building and street view and an enclosed street and view of exits gate and security guide house and avenues in the area as evidence in Figures 7–15.
The exits gate under lock and key in Kolapo Ishola GC.
Security gate and guardhouse in kolapo Ishola GRA.
Indicator | Neighbourhood | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
Placement of windows | 14 | 2.8 | 17 | 3.4 | 16 | 3.2 | 13 | 2.6 | 13 | 2.6 |
Height of fence to permit surveillance | 17 | 3.4 | 21 | 4.2 | 21 | 4.2 | 13 | 2.6 | 20 | 4.0 |
External Light to eliminate blind spots | 18 | 3.6 | 13 | 2.6 | 1.2 | 2.4 | 15 | 3.0 | 9 | 1.8 |
Type of vehicular traffic | 15 | 3.0 | 17 | 3.4 | 19 | 3.8 | 16 | 3.2 | 19 | 3.8 |
Surveillance potential of land use | 15 | 3.0 | 17 | 3.4 | 18 | 3.6 | 17 | 3.4 | 15 | 3.0 |
Level of commercial activities in or near the neighbourhood | 25 | 5.0 | 15 | 3.0 | 25 | 5.0 | 14 | 2.8 | 20 | 4.0 |
Quality of surveillance | 20 | 4.0 | 16 | 3.2 | 20 | 4.0 | 10 | 2.0 | 15 | 3.0 |
Total | 3.54 | 3.31 | 3.74 | 2.80 | 3.17 |
Surveillance potential of the Neighbourhood.
Picture showing Oba Olagbegi Neighbourhood in OBS.
Picture showing derelict gate at Oshuntokun road, old Bodija.
Picture showing gating and security guard at Awogboro Neighbourhood in OBS.
Picture: A view of a school and an enclosed street in OBS.
showing an example of signage informing of the closure time. Security levy payment directed by the neighbourhood executive committee and house number.
View of the entrance gate and signage in Awosika neighbourhood.
View of exits gate and security guide house in Awosika neighbourhood.
View of streets in Awosika that shows an example of well maintains neighbourhood.
A road closure using a palisade gate at Adeyi neighbourhood, old Bodija.
In the case of surveillance potential of land use, Table 5 shows that NBS seems to have the advantage with an index of 3.6 while OBS and ALGRA did not seem to do well at an index of 3.0. However, the proximity of the indices around an average 3.0 shows that the study areas are not far apart from each other and that they did not do too badly especially as the least is 3.0. Considering the level of commercial activities in or near a neighbourhood in the study areas, OBS and NBS seem to take the upper hand with an index of 5.0 each while KIS takes the rear with an index of 2.8. This shows that even though all the study areas enjoyed some level of commercial activities, OBS and NBS are exceptional. In terms of quality of surveillance, which is exemplified by the number of eyes on the street OBS and NBS again take the lead with an index of 4.0 while KIS again brings up the rear at 2.0. In summary, NBS seems to have the highest index of surveillance with a value of 3.74. The highest contributor to this being the type of Level of commercial activities in or near neighbourhood at a value of 5.0 while KIS seems to have the least index of surveillance at 2.80, the biggest contributor to this being the level of Surveillance potential of land use in or around the units with a value of 3.4 OBS, Agodi GRA and ALGRA seems to be strong on surveillance in their units.
Under the indicator labelled ‘presence of properties believed to be safe’ as shown in Table 6, OBS and NBS seemingly enjoyed a preponderance of such properties, this is reflected in its index of 4.0 each while the neighbourhood that seems to have the least of such properties is ALGRA with an index of 1.2. This is evidenced by the presence of such properties as divisional/area Policy command headquarters in OBS and NBS schools churches and mosques. As for the neighbourhood whose units have the highest number of undesirable properties NBS seems to have the highest incidence of such as can be seen in the index of 2.2 while ALGRA seems to have the least at 1.2. In summary, NBS outshone the other neighbourhoods in a milieu with an overall index of 3.1 while ALGRA has the least at an index at 1.2. The implication of this is that there is a need to incorporate the presence of safe properties toward planning neighbourhood environment and having in mind to eliminate undesirable properties in developed areas.
Indicator | Neighbourhood | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
Presence of ‘safe’ properties | 20 | 4.0 | 15 | 3.0 | 20 | 4.0 | 14 | 2.8 | 6 | 1.2 |
Presence of undesirable properties | 10 | 2.0 | 8 | 1.6 | 11 | 2.2 | 10 | 2.0 | 6 | 1.2 |
Total | 3.0 | 2.3 | 3.1 | 2.4 | 1.2 |
Milieu of the Neighbourhood in the study areas.
When one looks at the physical conditions of the neighbourhood as illustrated Table 7, ALGRA seems to take the top spot with an index of 4.8 while NBS has the least at 3.0 as shown in Table 7. While in the case of the physical condition of adjoining units ALGRA takes the lead with an excellent index of 5.0 and E again the least at 2.8. This is to be expected. In summary, logically neighbourhood A is top with an aggregate index of 4.8 and NBS is the lowest at 2.8.
Indicator | Neighbourhood | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
Physical condition of neighbourhood | 20 | 4.0 | 20 | 4.0 | 16 | 3.2 | 21 | 4.2 | 23 | 4.6 |
The physical condition of the adjoining neighbourhood | 19 | 3.8 | 18 | 3.6 | 14 | 2.8 | 22 | 4.4 | 25 | 5.0 |
Total | 3.9 | 3.8 | 3.0 | 4.3 | 4.8 |
Image of the Neighbourhoods.
To summarise the physical characteristics of the neighbourhoods in all the study areas as shown in (Table 8), one can see that OBS seems to have the highest aggregate value of physical characteristics at 3.49 NPI while NBS has the least at 2.94 NPI. This shows that OBS has better-organised neighbourhoods which were reflected with the strong Neighbourhoods profile exhibited. The results of the Neighbourhoods Profile Indices (NPI) based on the factors of Territoriality, Surveillance, Milieu and Image in the study areas shows that OBS had the highest with (3.49), while Agodi GRA had the least with (2.85) NPI in the study area.
Indicator | Neighbourhood | ||||
---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | |
Territoriality | 3.50 | 1.97 | 1.91 | 3.29 | 3.40 |
Surveillance | 3.54 | 3.31 | 3.74 | 2.80 | 3.17 |
Milieu | 3.00 | 2.30 | 3.10 | 2.40 | 1.20 |
Image | 3.90 | 3.80 | 3.00 | 4.30 | 4.80 |
Average | 3.49 | 2.85 | 2.94 | 3.20 | 3.14 |
Summary for the Neighbourhoods profile indices (NPI) in the study areas.
The result of the observation of the GCs was discussed under three (3) of the four (4) physical elements using applicable indicators. The elements used in this case are territoriality under five (5) indicators, surveillance using four (4) indicators and milieu in which two (2) indicator were also used.
The result of this study (see Table 9) showed that, as regards the maintenance of the GCs in the study areas ALGRA appears to be the best maintained, this is indicated by an index of 4.8 while NBS, on the other hand, appears to be the least maintained with an index of 3.0. This result indicated that, but for pockets of areas in the neighbourhoods that are not well maintained, there appears to be a generally conscious effort at maintaining the GCs. Figure 16 shows evidence of view of a well-maintained section and in ALGRA.
Indicator | Gated Communities | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
Maintenance and cleanliness of GCs | 21 | 4.2 | 18 | 3.6 | 15 | 3.0 | 20 | 4.0 | 24 | 4.8 |
Clear definition of territories | 16 | 3.2 | 14 | 2.8 | 11 | 2.2 | 17 | 3.4 | 18 | 3.6 |
Elements used to define territories | 13 | 2.6 | 20 | 4.0 | 5 | 1.0 | 5 | 1.0 | 15 | 3.0 |
Security signage at the entrance of the neighbourhood | 21 | 4.2 | 9 | 1.8 | 9 | 1.8 | 21 | 4.2 | 25 | 5.0 |
Elements to restrict access | 21 | 4.2 | 15 | 3.0 | 17 | 3.4 | 22 | 4.4 | 20 | 4.0 |
Average | 3.68 | 3.04 | 2.28 | 3.40 | 4.08 |
Territoriality in the GCs.
Shows a view of a well-maintained section of ALGRA.
Also, when discussing the clear definition of territories, ALGRA (again) appears to take top spot given its index of 3.6 while NBS (again) appears to take the rear with a value of 2.2. However, when it comes to elements used to define those territories, Agodi GRA seems to take the lead with a value of 4.0 while NBS seem to experience a near-total absence of elements to define territories as predicted with an index of 1.0 (see Table 9). Considering security at the entrance to the GCs, ALGRA seems to do a lot better than other GCs with an excellent index of 5.0; this implies that virtually all the constituent part of this area hosted security signage at the point of entry to them. On the other and NBS (GCs) seem to do poorly in this regard as shown in the index of 1.0. Similarly, when it comes to elements to restrict access to the GCs, KIS seems to take the top spot with an index of 4.4 while Agodi GRA brings up the rear with an index of 3.0. In summary, it seems ALGRA has the highest index on territoriality having a value of 4.08 while NBS appears to have the least at 2.28.
The result in Table 10 shows the first indicator for consideration is the use of external light to eliminate blind spots and in this case, KIS seems to have the best advantage as can be seen in the index at 3.6 while NBS seems to have the least at an index of 2.0. This result may signal the effect of decayed infrastructure in the area which may have manifested in the inability to service the neighbourhoods, with sufficient external lighting. In respect of vehicular traffic, Agodi GRA, KIS & ALGRA seem to experience the highest level of traffic than others with an index of 3.4 while OBS and NBS appear to have the lowest at 3.0. When it comes to the level to the level of commercial activities in or near the neighbourhood, NBS seem to take the top spot with an index of 4.6 while ALGRA is the least at 1.6. As to the quality of surveillance, OBS seems to have the advantage over others with an index of 3.8 while NBS appears to come less with an index of 2.4. Therefore, looking at the combination of all the indicators for surveillance, it then appears to be that neighbourhood OBS is in high positions with an index of 3.45 while NBS comes up at the rear with an index of 2.85.
Indicator | Gated Communities | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
External light to eliminate the blind spot | 15 | 3.0 | 14 | 2.8 | 10 | 2.0 | 18 | 3.6 | 20 | 4.0 |
Type of vehicular traffic | 15 | 3.0 | 17 | 3.4 | 15 | 3.0 | 17 | 3.4 | 17 | 3.4 |
Level of commercial activities | 20 | 4.0 | 11 | 2.2 | 23 | 4.6 | 14 | 2.8 | 8 | 1.6 |
Quality of surveillance | 19 | 3.8 | 15 | 3.0 | 12 | 2.4 | 15 | 3.0 | 18 | 3.6 |
Average | 3.45 | 2.85 | 3.0 | 3.2 | 3.15 |
Surveillance in the GCs.
The result as shown in Table 11 indicated in that OBS seem to have the highest presence of properties believed to be safe having an index of 3.6 while ALGRA having the lowest at an index of 2.2. This tallies with the result of that of the neighbourhood. As for the presence of undesirable properties, OBS appears to take the lead with an index of 3.6 while Agodi GRA comes last with an index of 1.0. Figures 17–20 above show evidence of entrance and exit gate to a closed neighbourhood, poor road, office and unoccupied building with overgrown grass in a neighbourhood in Agodi GRA. Therefore in terms of milieu, OBS seems to be the best having an aggregate index of 3.6 while ALGRA appears to be the least at an index of 1.6.
Indicator | Gated Communities | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||||||
Count | Index | Count | Index | Count | Index | Count | Index | Count | Index | |
Presence of ‘safe’ properties | 18 | 3.6 | 15 | 3.0 | 17 | 3.6 | 15 | 3.0 | 11 | 2.2 |
Presence of ‘undesirable’ properties | 18 | 3.6 | 5 | 1.0 | 15 | 3.0 | 11 | 2.2 | 6 | 1.2 |
Average | 3.6 | 2.0 | 3.3 | 2.6 | 1.7 |
Milieu in the GCs.
View of the entrance gate and poor road in Agodi GRA CG Ibadan.
View of the entrance gate to a closed neighbourhood in Agodi GRA.
View of the entrance gate and gatehouse to a neighbourhood in Agodi GRA.
View of one of the exit gate in Agodi GRA.
The review of literature on types of GCs and experiences with enclaves lead to the suggestion of several variables and functions that differentiate kinds of gating in Ibadan; these include the function of the enclosure; security feature and barriers; amenities and facilities included; types of residents; tenure; location; size; policy context (see Table 12). These eight characteristics were expanded into a checklist for this study. Although the features of GCs vary, they all have gates to regulate entrance into the community. A considerable number of GCs maintain around-the-clock, on-site security, and many of these communities are walled in as well. If a GC is designed for retired residents, additional amenities were included which include: the clubhouses, recreational centres and the like. At the front entrance gate of a gated community, there is usually either a security guard, an intercom on which you punch in a private access code, or a card reader. Upon admittance, the gate will be open for you. The size of GCs varies dramatically, with small, compact communities at one extreme and large and comprehensive GC on the other extreme. The large communities include not only residential properties but also recreational and entertainment centres, dining, retail and other lifestyle opportunities.
After physical observation of the study areas, the following classification was arrived at as shown in Table 13 and using the checklist of features defining GCs as shown in Table 11. Although walls and gates may look similar across the study areas they have a range of functions that include: physical, economic, social psychological or symbolic as shown in Table 5 below. Table 6 shows the features of GCs in the study areas which include: the functions of enclosure, safety feature, amenities and facilities, types of residents, tenure, location, and size and policy context. The gate provides the architecture of control as demonstrated from the physical characteristics of the study areas for both the insider and outsider; it reinforces the need for surveillance and importance for a social order where everybody knows his or her place. Walled and GCs are seen as synonymous but involved different levels of enclosures. This lead to the suggestion that a variety of enclosure in GCs in the study areas as outlined in Table 13, which shows the varieties the degree of enclosure proceeds from largely symbolic or psychological, to the full physical, as an architecture of control, became more explicit.
Table 14 as clearly shows that GC type H (Restricted entry, guarded area) has the highest frequency having a total of 11 GCs representing 19.3%, followed by type D (Barricaded streets) having 10 GCs representing 17.5%. 8 GCs representing 14.0% used type E (partially gated roads), while 7, 6, 5, 4 and 1 communities representing 12.3%, 10,5%, 8.8%, 7.0% and 1.8% respectively made used of type G (Restricted entry, bounded area), type A (Ornamental gating), type B (Walled subdivisions, type C (Faux-gated entries), and finally type I (Condominiums) which is the least in the logged. The implication of this is that people accept their neighbourhood to be restricted by the use of gate and wall and also to be guarded at all-time by the security agents for them to have feeling safety in their community.
Functions of Enclosure | Physical | Economic | Social | Psychological or Symbolic |
---|---|---|---|---|
Secure people and property Create an identity for the project | Enhance property value. Protect club amenities | Give visual or spatial privacy. Control those insides | Display status and power. Control those outsides | |
Safety Feature | Wall Low fence, chain or bollard Faux guard Station Hedge or vegetation Swing harm gate Guard at all times Auto opener entry | Fence-opaque Fence-barbed Mirror glass on the guardhouse Topographic features Lift-arm gate Patrolling guards Surveillance cameras | Physical Fence visually opened Speed bumps or chicanes Private properties Signs Water, Ravines, Forest Slide gate Devices in the roadbed Card entry Armed guards | Symbolic Fence-electric Pavement texture or colour No parking Signs Desert Swing gate Guards at designated time Code entry House alarms |
Amenities and Facilities | Private roads Open spaces Institutional facilities | Meeting place Landscape maintenance Guards | Activities centres Quality design | Recreational facilities Commercial facilities |
Types of Residents | Homogeneous by age | Homogeneous by class | Homogeneous by ethnicity, race and status | Shared activities (for example, golf) |
Tenure | Principal residence Fee simple ownership | Secondary residence Condominium ownership | Seasonal residence Land lease | Public housing Rental |
Location | Urban Infill | Suburban Greenfield | Exurban Resort destination | Rural Inner-city |
Size | Cul-de-sac pod | Neighbourhood (ten to hundreds of units) | Village (hundreds of units, some commercial) | Town (thousands of units and mix uses |
Policy Context | Restricting gating | Enables gating | Growing area | Stable or declining area |
Checklist of features defining gated communities in the study areas.
Source: Adopted by the Author from Grant and Mittelsteadt [16].
S/N | Type | Boundary | Road access | Notes |
---|---|---|---|---|
A | Ornamental gating | No mark boundary | Landmark gate at entry | Feature gates showing the subdivision name that is placed at the major entries to give identity to an area. |
B | Walled subdivisions | Opaque fence or wall | Open | Full walled subdivisions that are common urban features. Cars and pedestrian may enter. |
C | Faux-gated entries | Opaque wall or fence | Narrow entry, removable chains or bollard, guardhouse | Some subdivisions have physical features that look like guard houses or private entries to discourage uninvited vehicles from entering. |
D | Barricaded streets | No marked boundary | Public streets closed by planters or concrete barriers | Many neighbourhoods barricade streets and creating cul-de-sac streets within the grid as a form of traffic control. Pedestrian access is open. |
E | Partially gated roads | No marked boundary | Lifts or swing arm | Rural cottage subdivisions may feature gates that are only closed for part of the year. May have gates but no walls. Pedestrian access is open. |
F | Full gated roads | Natural features such as water, ravines, forest and mountains | Lifts or swing arm | Prestige communities on islands, peninsular, or remote may limit access through combined natural and man-made features. |
G | Restricted entry, bounded area | Fence or wall and/ or natural features that limit access | Gate with limited control access | Communities may completely restrict public access; video or telephone systems may also allow visitors to be vetted by residents. |
H | Restricted entry, guarded area | Fence or wall and/ or natural features that limit access | Gate with limited control access; security guards, police or army | Communities may completely restrict public access; video or telephone systems may also allow visitors to be vetted by residents. GCs have guards at the gates or patrolling the premises. In some zones, guards may carry automatic weapons |
Classifying gated communities through variety of enclosure in Ibadan.
Source: Adopted from Grant and Mittelsteadt [16] and Modified by the Author 2018.
The Study Areas | Types of GCs | Total | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | |||||||||||
Freq | % | Freq | % | Freq | % | Freq | % | Freq | % | Freq | % | Freq | % | Freq | % | Freq | % | ||
Old Bodija Scheme | 3 | 1.0 | 2 | 6.7 | 3 | 1.0 | 6 | 2.0 | 4 | 13.3 | 2 | 6.7 | 4 | 13.3 | 5 | 16.7 | 1 | 3.3 | 30 |
Agodi GRA | 1 | 10 | 1 | 10 | — | — | 2 | 20 | 2 | 20 | 1 | 10 | 1 | 10 | 2 | 20 | — | — | 10 |
New Bodija Scheme | 1 | 6.7 | 2 | 13.3 | 1 | 6.7 | 2 | 13.3 | 2 | 13.3 | 3 | 20 | 2 | 13.3 | 2 | 13.3 | — | — | 15 |
Kolapo Ishola Scheme | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1 | 100 | — | — | 1 |
Alalubosa GRA | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1 | 100 | — | — | 1 |
Total | 6 | 10.5 | 5 | 8.8 | 4 | 7.0 | 10 | 17.5 | 8 | 14.0 | 6 | 10.5 | 7 | 12.3 | 11 | 19.3 | 1 | 1.8 | 57 |
Types and frequencies of GCs identified in the study areas.
View of legacy estate gate within Kolapo Ishola GC.
Entrance gate to Carlton gate estate.
View of Carlton gate estate, Akobo (GRA) Ibadan.
Wall around Gaton gate estate.
Wall around legacy GC.
View of Oyo-state, housing corporation; Basorun estate zone 7, GATE 3.
Awogbore gate, Akobo area.
Akala gate, Akobo Ojurin Ibadan.
View of Oyo-state, housing corporation; Basorun estate zone 4, GATE 1.
Ogo-Oluwa gate, Agbo area Ibadan.
View of Oyo-state, housing corporation; Basorun estate zone 4, GATE 2.
Gate and booms across a road, marking the entrance to an exclusive neighbourhood in Ibadan.
A typical vertical closed condominiums; Wigatar Estate in Sabo Quarters.
Classifying GCs through a variety of enclosure in Ibadan nine deferent types of gated GCs were identified this include type A (Ornamental gating), type B (Walled subdivisions, type C (Faux-gated entries), type D (Barricaded streets), type E (partially gated roads), type F (Full gated roads), type G (Restricted entry, bounded area), type H (Restricted entry, guarded area), type I (Condominiums). To summarise the physical characteristics of the GCs, it appears OBS has the strongest of these characteristics with an average index of 3.58 as shown in Table 15 while Agodi GRA appears weakest with an index of 2.63.
Factors | Gated Communities | ||||
---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | |
Territoriality | 3.68 | 3.04 | 2.28 | 3.40 | 4.08 |
Surveillance | 3.45 | 2.85 | 3.00 | 3.2 | 3.15 |
Milieu | 3.60 | 2.00 | 3.30 | 2.60 | 1.70 |
Average | 3.58 | 2.63 | 2.86 | 3.07 | 2.98 |
Summary of indices for physical characteristics of GCs.
To discuss the relationship between the Perception of safety and the physical characteristics of the study areas Table 16 offers a simple way to go about this. Table 16 combines, the perception of the safety of each of the study areas, and the physical characteristics of the neighbourhoods, namely territoriality, surveillance and milieu. The section discussed the relationship between the perception of safety and the physical characteristics of the neighbourhoods.
Indicator | Neighbourhood | Average | ||||
---|---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | ||
Territoriality | 3.50 | 1.97 | 1.91 | 3.29 | 3.40 | 2.81 |
Surveillance | 3.54 | 3.31 | 3.74 | 2.80 | 3.17 | 3.31 |
Milieu | 3.00 | 2.30 | 3.10 | 2.40 | 1.20 | 2.4 |
Image | 3.90 | 3.80 | 3.00 | 4.30 | 4.80 | 3.96 |
Average (DPCI) | 3.49 | 2.85 | 2.94 | 3.20 | 3.14 | 3.12 |
Low | 1.4 | 6.6 | 6.5 | 4.0 | 4.0 | 4.5 |
Medium | 34.3 | 55.3 | 53.2 | 40.0 | 32.0 | 42.96 |
High | 52.9 | 35.5 | 35.5 | 54.0 | 59.2 | 47.42 |
Very high | 11.4 | 2.6 | 4.8 | 2.0 | 4.8 | 5.12 |
Relationship between perception of safety and defensible physical characteristics (DPCI).
Therefore, the result shows that ALGRA seems to have the highest perception of safety categories of ‘high’ (52.9%). This shows that there appears to be some element of correlation between the perception of safety categories of the neighbourhood and physical characteristics. The result shows that OBS has the highest percentage in the high perception categories (48.0%).
OBS has the highest index in territoriality at 3.50 and also has the highest percentage of the ‘high’ perception categories (48.0%); this suggests that a good showing on territoriality may translate to a better perception of safety in a neighbourhood. This seems to be further confirmed by the fact that NBS has the lowest territorial index at 1.91 the high percentage of the medium perception categories (53.2%). OBS & NBS seems to have the highest index on surveillance with 3.54 and 3.74; this coupled with the fact that OBS has a high percentage at the ‘very high’ perception categories of 52.9% seems to confirm the contribution of surveillance to the perception of safety. However, this is not to suggest that surveillance alone leads to high perception as demonstrated by ALGRA which has the lowest index on surveillance 3.17 and at the same time having 4.49 the highest percentage of the ‘high’ perception categories (59.2%).
In the case of milieu NBS seems to have the highest index (3.10) and that it has the highest percentage at ‘medium’ perception categories (55.3%) but not the highest perception of safety index. It, therefore, suggests that though milieu might contribute to the perception of safety, this may not be enough to solely determine the perception of safety. In summary, OBS appears to have the highest aggregate defensible physical characteristics index (3.49) further reinforced by Perception of safety index (4.08) with the high percentage of 52.9% of ‘high perception categories. This suggests that this neighbourhood enjoys a sort of primacy when all these factors are considered. On the other hand, ALGRA seems to have 3.14 aggregates index of defensible physical characteristics but a relatively highest perception of safety index of 4.49 which was also further reinforced by the highest percentage at ‘high’ perception categories (59.2%). This suggests that the relatively weak defensible physical characteristics of the neighbourhood may not be enough to weaken the residents’ perception of safety. This may mean that there are other factors which include: The physical condition /environmental design, social capital and experiences of safety indices which are at play in determining the strength of elements of physical defensible characteristics.
Table 17 clearly shows the summary of the perception of safety (PSI) and defensible physical characteristics (DPCI) in the selected GCs in Ibadan and it can be deduced from the Table 17 that surprisingly OBS has the highest safety profile although the area has a lower perception of safety, image, physical and environmental design condition indices than KIS and ALGRA that have higher indices in these factors. From the study, it could be observed that OBS is having better social capital, territoriality, surveillance, milieu indices than these two GCs. The study has also shown that for safety to be achieved in a residential area all these factors must be followed.
Indicator | GCs | ||||
---|---|---|---|---|---|
Old Bodija Scheme | Agodi GRA | New Bodija Scheme | Kolapo Ishola Scheme | Alalubosa GRA | |
Territoriality | 3.50 | 1.97 | 1.91 | 3.29 | 3.40 |
Surveillance | 3.54 | 3.31 | 3.74 | 2.80 | 3.17 |
Milieu | 3.00 | 2.30 | 3.10 | 2.40 | 1.20 |
Image | 3.90 | 3.80 | 3.00 | 4.30 | 4.80 |
Perception of safety | 4.08 | 3.96 | 3.80 | 4.38 | 4.49 |
physical/design condition | 4.10 | 3.94 | 3.53 | 4.43 | 4.40 |
Social capital | 3.75 | 3.02 | 3.73 | 2.92 | 2.95 |
Experiences of Safety | 3.92 | 3.95 | 3.82 | 4.10 | 4.22 |
Average | 3.72 | 3.28 | 3.33 | 3.58 | 3.58 |
Perception of safety PSI and defensible physical characteristics (DPCI).
Based on the physical observation carried out in the study areas, gating are widely employed in various types of housing development. After physical observation of GCs characteristics of various neighbourhood and communities in the urban area of Ibadan, this study identified a working typology of GCs in Ibadan. This was taken as a starting point for this study. This typology comprises nine main types of GC in Ibadan. These include: Type A (Ornamental gating), Type B (Walled subdivisions) Type C (Faux-gated entries) Type D (Barricaded streets) Type E (Partially gated roads) Type F (Full gated roads) Type G (Restricted entry, bounded area, Type H (Restricted entry, guarded area) and type I (Condominium). Eight (8) key elements of physical and none physical characteristics which are territoriality, surveillance, milieu and image, perception of safety, physical/design condition, social capital, experiences of safety were used as parameters in describing the characteristics of the GCs in the study areas.
The result of analysis of defensible physical characteristics of the study areas concerning safety revealed that the elements when examined at the neighbourhood level shows that OBS have good defensible physical characteristics (territoriality, surveillance, milieu image), it also has a high level of perception of safety, physical/design condition, social capital and experiences of safety at the entire neighbourhood level. The overall picture of the study areas is strengthened by the positive value of commercial activities in and around the neighbourhood which tend to aid surveillance. Measured by the physically fortified character, the number of neighbourhoods that falls into the category of GC is huge within the study areas. The respondents generally hold a positive attitude to gating. Physical gating is frequently taken as an inherent element for residential development, and naturally a must-have item within the study areas. No resident hide his/her appreciation of living in a gated or protected residence. Whilst gating is common in the residential culture of Ibadan cities, gating bears unique characteristics in response to its urban context, which is well known for a high density and high-rise.
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These fibrillary deposits ultimately cause tissue destruction and progressive disease. Amyloidosis can be either systemic affecting multiple organs or localized. Renal involvement by amyloidosis (amyloid nephropathy) is a frequent manifestation of systemic amyloidosis. Immunofluorescence, immunohistochemistry (IHC), and more recently laser microdissection and mass spectrometry (LMD/MS) are important techniques in typing of amyloid nephropathy. This in-depth review discusses practical diagnostic approach and pathogenesis of amyloid nephropathy and includes discussion of treatment and prognosis.",book:{id:"5194",slug:"exploring-new-findings-on-amyloidosis",title:"Exploring New Findings on Amyloidosis",fullTitle:"Exploring New Findings on Amyloidosis"},signatures:"Paisit Paueksakon",authors:[{id:"180754",title:"Associate Prof.",name:"Paisit",middleName:null,surname:"Paueksakon",slug:"paisit-paueksakon",fullName:"Paisit Paueksakon"}]},{id:"51051",title:"A Nanobody‐Based Approach to Amyloid Diseases, the Gelsolin Case Study",slug:"a-nanobody-based-approach-to-amyloid-diseases-the-gelsolin-case-study",totalDownloads:1623,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Gelsolin amyloidosis (AGel) is an autosomal‐dominant inherited disease caused by point mutations in the gelsolin gene. At the protein level, these mutations result in the loss of a Ca2+‐binding site, crucial for the correct folding and function. In the trans‐Golgi network, this mutant plasma gelsolin is cleaved by furin, giving rise to a 68 kDa C-terminal fragment. When secreted in the extracellular matrix, this fragment undergoes proteolysis by MT1‐MMP–like proteases, resulting in the production of 8 and 5 kDa amyloidogenic peptides. Nanobodies, the variable part of the heavy chain of heavy‐chain antibodies, have been used as molecular chaperones for mutant plasma gelsolin and the 68 kDa C‐terminal fragment in an attempt to inhibit their pathogenic proteolysis. Furthermore, these nanobodies have also been tested and applied as a 99mTc‐based imaging agent in the gelsolin amyloidosis mouse model.",book:{id:"5194",slug:"exploring-new-findings-on-amyloidosis",title:"Exploring New Findings on Amyloidosis",fullTitle:"Exploring New Findings on Amyloidosis"},signatures:"Adriaan Verhelle and Jan Gettemans",authors:[{id:"181057",title:"Prof.",name:"Jan",middleName:null,surname:"Gettemans",slug:"jan-gettemans",fullName:"Jan Gettemans"},{id:"186102",title:"MSc.",name:"Adriaan",middleName:null,surname:"Verhelle",slug:"adriaan-verhelle",fullName:"Adriaan Verhelle"}]},{id:"35947",title:"Oxidative Stress and Mitochondrial Dysfunction in Cardiovascular Diseases",slug:"oxidative-stress-and-mitochondrial-dysfunction-in-cardiovascular-diseases",totalDownloads:3006,totalCrossrefCites:1,totalDimensionsCites:3,abstract:null,book:{id:"2134",slug:"oxidative-stress-and-diseases",title:"Oxidative Stress and Diseases",fullTitle:"Oxidative Stress and Diseases"},signatures:"Sauri Hernández-Reséndiz, Mabel Buelna-Chontal, Francisco Correa and Cecilia Zazueta",authors:[{id:"102566",title:"Dr.",name:"Cecilia",middleName:null,surname:"Zazueta",slug:"cecilia-zazueta",fullName:"Cecilia Zazueta"},{id:"102568",title:"BSc.",name:"Sauri",middleName:null,surname:"Hernández-Reséndiz",slug:"sauri-hernandez-resendiz",fullName:"Sauri Hernández-Reséndiz"},{id:"102569",title:"BSc.",name:"Mabel",middleName:null,surname:"Buelna-Chontal",slug:"mabel-buelna-chontal",fullName:"Mabel Buelna-Chontal"},{id:"102570",title:"Dr.",name:"Francisco",middleName:null,surname:"Correa",slug:"francisco-correa",fullName:"Francisco Correa"}]},{id:"50968",title:"Advances in AFM Imaging Applications for Characterizing the Biophysical Properties of Amyloid Fibrils",slug:"advances-in-afm-imaging-applications-for-characterizing-the-biophysical-properties-of-amyloid-fibril",totalDownloads:2136,totalCrossrefCites:1,totalDimensionsCites:5,abstract:"Although the formation mechanism of amyloid fibrils in bodies is still debated, it has recently been reported how amyloid fibrils can be formed in vitro. Accordingly, we have gained a better understanding of the self-assembly mechanism and intrinsic properties of amyloid fibrils. Because the structure of amyloid fibrils consists of nanoscaled insoluble strands (a few nanometers in diameter and micrometers long), a special tool is needed to study amyloid fibrils at length. Atomic force microscopy (AFM) is supposed to be a versatile toolkit to probe such a tiny biomolecule. The physical/chemical properties of amyloid fibrils have been explored by AFM. In particular, AFM enables the visualization of amyloid fibrillation with different incubation times as well as the concentrations of the formed amyloid fibrils as affected by fibril diameters and lengths. Very recently, the minute structural changes and/or electrical properties of amyloid fibrils have been made by using advanced AFM techniques including dynamic liquid AFM, PeakForce QNM (quantitative nanomechanical mapping), and Kelvin probe force microscopy (KPFM). Herein, we summarize the biophysical properties of amyloid fibrils that are newly discovered with the help of those advanced AFM techniques and suggest our perspectives and future directions for the study of amyloid fibrils.",book:{id:"5194",slug:"exploring-new-findings-on-amyloidosis",title:"Exploring New Findings on Amyloidosis",fullTitle:"Exploring New Findings on Amyloidosis"},signatures:"Wonseok Lee, Hyungbeen Lee, Gyudo Lee and Dae Sung Yoon",authors:[{id:"180553",title:"Prof.",name:"Dae Sung",middleName:null,surname:"Yoon",slug:"dae-sung-yoon",fullName:"Dae Sung Yoon"},{id:"185225",title:"Mr.",name:"Wonseok",middleName:null,surname:"Lee",slug:"wonseok-lee",fullName:"Wonseok Lee"},{id:"185226",title:"Mr.",name:"Hyungbeen",middleName:null,surname:"Lee",slug:"hyungbeen-lee",fullName:"Hyungbeen Lee"},{id:"185227",title:"Dr.",name:"Gyudo",middleName:null,surname:"Lee",slug:"gyudo-lee",fullName:"Gyudo Lee"}]}],onlineFirstChaptersFilter:{topicId:"412",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:86,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:96,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:283,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:138,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:128,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: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}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. 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Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). 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He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"13633",title:"Prof.",name:"Abdelhamid",middleName:null,surname:"Mellouk",slug:"abdelhamid-mellouk",fullName:"Abdelhamid Mellouk",profilePictureURL:"https://mts.intechopen.com/storage/users/13633/images/1567_n.jpg",institutionString:null,institution:{name:"Paris 12 Val de Marne University",institutionURL:null,country:{name:"France"}}},{id:"109268",title:"Dr.",name:"Ali",middleName:null,surname:"Al-Ataby",slug:"ali-al-ataby",fullName:"Ali Al-Ataby",profilePictureURL:"https://mts.intechopen.com/storage/users/109268/images/7410_n.jpg",institutionString:null,institution:{name:"University of Liverpool",institutionURL:null,country:{name:"United Kingdom"}}},{id:"3807",title:"Dr.",name:"Carmelo",middleName:"Jose Albanez",surname:"Bastos-Filho",slug:"carmelo-bastos-filho",fullName:"Carmelo Bastos-Filho",profilePictureURL:"https://mts.intechopen.com/storage/users/3807/images/624_n.jpg",institutionString:null,institution:{name:"Universidade de Pernambuco",institutionURL:null,country:{name:"Brazil"}}},{id:"38850",title:"Dr.",name:"Efren",middleName:null,surname:"Gorrostieta Hurtado",slug:"efren-gorrostieta-hurtado",fullName:"Efren Gorrostieta Hurtado",profilePictureURL:"https://mts.intechopen.com/storage/users/38850/images/system/38850.jpg",institutionString:null,institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},{id:"239041",title:"Prof.",name:"Yang",middleName:null,surname:"Yi",slug:"yang-yi",fullName:"Yang Yi",profilePictureURL:"https://mts.intechopen.com/storage/users/239041/images/system/239041.jpeg",institutionString:"Virginia Tech",institution:{name:"Virginia Tech",institutionURL:null,country:{name:"United States of America"}}}]},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"13818",title:"Dr.",name:"Asim",middleName:null,surname:"Bhatti",slug:"asim-bhatti",fullName:"Asim Bhatti",profilePictureURL:"https://mts.intechopen.com/storage/users/13818/images/system/13818.jpg",institutionString:null,institution:{name:"Deakin University",institutionURL:null,country:{name:"Australia"}}},{id:"151889",title:"Dr.",name:"Joao Luis Garcia",middleName:null,surname:"Rosa",slug:"joao-luis-garcia-rosa",fullName:"Joao Luis Garcia Rosa",profilePictureURL:"https://mts.intechopen.com/storage/users/151889/images/4861_n.jpg",institutionString:null,institution:{name:"University of Sao Paulo",institutionURL:null,country:{name:"Brazil"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",institutionURL:null,country:{name:"Turkey"}}}]},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"1177",title:"Prof.",name:"Antonio",middleName:"J. 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Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. 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He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. Anderson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}},{id:"351159",title:"BSc.",name:"Kalum J.",middleName:null,surname:"Ost",slug:"kalum-j.-ost",fullName:"Kalum J. 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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. 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