\r\n\tEqually, the interlinkages that the adrenal gland has in the human body create the premises both for the description of the intimate mechanisms that induce adrenal diseases on other tissues and organs and also for strategic considerations when it comes to treatment.
\r\n\r\n\tThis book, which is aimed at both endocrinologists and practitioners in other medical fields, therefore offers an insight into the mysteries of adrenal disease and a comprehensive overview of the current state of knowledge of this gland, providing an easy-to-follow format that focuses on the most important developments in the field of etiopathogenesis, clinical and paraclinical diagnosis, and treatment of these conditions.
",isbn:"978-1-80356-687-0",printIsbn:"978-1-80356-686-3",pdfIsbn:"978-1-80356-688-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"86c26879d83ac24206ed5476b6cde7fd",bookSignature:"Dr. Diana Loreta Paun",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11853.jpg",keywords:"Cushing Syndrome, Etiopathogenesis, Diagnosis, Treatment, Minimally Invasive Technique, Adrenalectomy, Adrenal Diseases, Perioperative Management, Adrenal Cancer, Genetics, Adrenal Mass, Imaging",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 22nd 2022",dateEndSecondStepPublish:"May 26th 2022",dateEndThirdStepPublish:"July 25th 2022",dateEndFourthStepPublish:"October 13th 2022",dateEndFifthStepPublish:"December 12th 2022",remainingDaysToSecondStep:"8 days",secondStepPassed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"Practitioner endocrinologist, associate professor, researcher, and manager of the National Institute of Endocrinology in Romania, coordinator of investment research and training projects, funded by European funds. Dr. Paun is a member of The Romanian Association of Clinical Endocrinology, member and president(2011-2012, 2017-2019) of The Romanian Chapter of the AACE (American Association of Clinical Endocrinologists). Dr. Păun was appointed State Advise (2015) and was appointed Presidental Advisor (2019).",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"190860",title:"Dr.",name:"Diana Loreta",middleName:null,surname:"Paun",slug:"diana-loreta-paun",fullName:"Diana Loreta Paun",profilePictureURL:"https://mts.intechopen.com/storage/users/190860/images/system/190860.jpg",biography:"PĂUN DIANA LORETA, MD, PhD, FACE\r\nBorn on: February 1st, 1968 on Bucharest\r\nEmployed to: “Carol Davila”, University of Medicine and Pharmacy\r\nPosition: endocrinologist, Ph.D, Associate Professor of Endocrinology\r\nFellow of the American College of Endocrinology\r\nExperience: General Manager of “CI Parhon” Institute of Endocrinology, Bucharest, 2006-2015.\r\nMaster in Public Health\r\nQualifications in: Diabetology, Osteoporosis, Endocrine Ultrasonography, Public Health. Training in molecular biology laboratory techniques – Max-Planck-Institut für Psychiatrie, Dept. of Chemie u. Endokrinologie, München, 2002\r\nOccupational field: Clinical, Educational and Research activities, Management, Healthcare services.\r\nPostgraduate courses in: Informatics, Clinical Endocrinology, Infertility, Sexology, Public Health etc.\r\nProfessional career:\r\nChemistry-Biology High School graduated on 1986, Faculty of Medicine graduated on 1992, Th.Burghele Hospital doctor on probation during 1993–1994\r\nendocrinology resident to CI Parhon Institute of Endocrinology 1994-1998\r\nendocrinologist since 1998\r\nAssistant Professor, Lecturer, Associated Professor of Endocrinology, Carol Davila University of Medicine and Pharmacy, Bucuresti, Romania\r\nPublications: papers presented on national and international meetings, articles publishised in well-known journals, author and coauthor in monographs and clinical guides book.\r\nParticipation on research projects and clinical trials: Director and member of the team in research projects and in clinical trials.",institutionString:"Carol Davila University of Medicine and Pharmacy",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"16",title:"Medicine",slug:"medicine"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"455410",firstName:"Dajana",lastName:"Jusic",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/455410/images/20500_n.jpeg",email:"dajana.j@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. Mauricio Barría",coverURL:"https://cdn.intechopen.com/books/images_new/6550.jpg",editedByType:"Edited by",editors:[{id:"88861",title:"Dr.",name:"R. Mauricio",surname:"Barría",slug:"r.-mauricio-barria",fullName:"R. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"47961",title:"Seismic Reliability-Based Design Optimization of Reinforced Concrete Structures Including Soil-Structure Interaction Effects",doi:"10.5772/59641",slug:"seismic-reliability-based-design-optimization-of-reinforced-concrete-structures-including-soil-struc",body:'Past destructive earthquakes (e.g. the 1994 Northridge earthquake and the 1995 Kobe earthquake) have left a clear signature on the engineering community worldwide, changing thinking of structural engineers [1-2]. As such, after holding several workshops and conferences, an innovative approach namely Performance-Based Design (PBD) was presented by modern guidelines [3-5]. In principle, a structure designed using PBD approach should meet performance objectives in accordance with a set of specified reliabilities over its service life. This is aimed to reach structural design candidates associated with more predictable seismic behavior, quantifying and controlling the risk at an engineered acceptable level.
Both seismic demands and capacity parameters, that are inherently uncertain, are highly influential on the acceptable performance level of a structure. Furthermore, due to the fact that a structure on underlying soil is not rigid, soil-structure interaction (SSI) affects the responses of structures during an earthquake. Obviously, ignoring the SSI effects could lead to unrealistic structural responses and seismic demands. Hence, the effects of SSI should be considered in the seismic responses of structures [6]. Therefore, soil type, material properties of the structure, and ground motion characteristics randomly affect the seismic structural responses.
Deterministic structural optimization without considering the uncertainties in design manufacturing and operating processes may lead to unreliable design resulting in inappropriate balance between cost and safety. A proper design procedure must reasonably account for the inherent uncertain nature of a structural system and associated external load [7]. In structural optimization, non-deterministic performance of structures can be taken into account using robust design optimization (RDO) [8] and reliability-based design optimization (RBDO) [9]. RDO aims to minimize variation of the objective function, but RBDO optimizes the structural cost under reliability of the constraints.
A few studies have been implemented in a structural optimization problem, where RBDO is incorporated into PBD concept. Foley
Nonlinear dynamic analysis of structures using finite element method requires much computational effort. This drawback may accentuate when the nonlinear dynamic structural responses are required in RBDO of the structure using the Monte-Carlo Simulation (MCS) method, the importance sampling technique and the response surface method. In order to obtain an acceptable confidence within probabilities of the order close to 10-4 - 10-6, the MCS method requires a large number of structural analyses. Based on Lagaros
In this chapter, RBDO of RC structures with considering SSI effects under time-history earthquake loading is presented in accordance with the PBD concept of SEAOC guidelines [3]. In this work, a new discrete gravitational search algorithm (DGSA) and an efficient proposed meta-model were introduced for performing RBDO of RC structures [22]. The objective function is the total cost of the structure while the constraints are treated as deterministic and probabilistic. The annual probability of non-performance for each performance level is considered as the probabilistic constraint in RBDO procedure. The new DGSA based on the fundamental concept of the standard GSA [23] is introduced for finding the optimal designs in the RBDO procedure. In DGSA, the position of each agent is presented in positive integer numbers. Also, the velocity of each agent is modified based on the particle swarm optimizer with passive congregation (PSOPC) which was proposed by He
Numerical examples show that the wavelet as a kernel function is much better than those of the common kinds as kernel function in WLS-SVM. The accuracy and generalization of WWLS-SVM is improved using GSA. Furthermore, numerical results demonstrate the efficiency and computational advantages of the proposed DGSA for RBDO of structures.
Seismic design optimization of RC structures under time-history earthquake loads is an ongoing research topic and has received great attention among researchers [14, 27-33]. As such, RBDO of RC structures with the consideration of SSI effects was investigated in accordance with PBD concept of SEAOC guidelines [3] under seismic loading. This work incorporates the acceptable performance levels and the RBDO theory to compare the achieved annual probability of non-performance with target values for each performance level. The objective of the RBDO problem is to minimize the total cost whereas the deterministic and probabilistic constraints should not exceed a specified target.
The RBDO problem of RC structures can be formulated in the following form:
where
The total cost,
where
where
The repair cost refers to the cost of damage level from earthquake that may occur during the life of a structure. In this study, the overall damage index,
where
where
A comprehensive overview of the most popular constraint handling approaches used in conjunction with meta-heuristic optimization methods was presented in the literature review by Coello Coello [35]. In the present study, the external penalty function method as one of the most common forms of the penalty function in the structural optimization [15, 27-29, 36-39] is employed to transform constrained RBDO problem into unconstrained one as follows:
where
This formulation allows solutions with violated constraints, and the objective function is always greater than the non-violated one.
In order to evaluate the system reliability index corresponding to each of the performance levels, RC structures should be assessed in the RBDO procedure [14, 22]. The system reliability index corresponding to each of the performance levels are estimated by MCS method. In the following subsections, the procedure of assessment of RC structures is explained.
In PBD approach, many uncertain variables influence the structural seismic responses. In the studies by Khatibinia
The operational, life safety and collapse prevention levels have been defined as the performance levels. A performance level depends on some limit state functions. A limit state function,
where
The limit state functions and their probability distribution function (PDF) for the performance levels, according to SEAOC guidelines (2000), are shown in Table 1.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\n\t\t | \n
Operational | \n\t\n\t | \n\t | \n |
\n\t | Elastic roof displacement | \n\t | \nLognormal | \n
\n\t | Inter-storey drift | \n\t | \nLognormal | \n
Life safety | \n\t\n\t | \n\t | \n |
\n\t | Inter-storey drift | \n\t | \nLognormal | \n
\n\t | Max. local damage index | \n\t | \nBeta | \n
\n\t | Global damage index | \n\t | \nBeta | \n
Collapse | \n\t\n\t | \n\t | \n |
\n\t | Inter-storey drift | \n\t | \nLognormal | \n
\n\t | Max. local damage index | \n\t | \nBeta | \n
\n\t | Global damage index | \n\t | \nBeta | \n
In Table 1,
The non-performance probability,
where
For each performance level, the total exceeding probability,
where
There are two main approaches for modeling and analyzing SSI systems, namely the direct method and the substructure method either in time domain or in frequency domain [6]. Considering the discretized dynamic equations of structure and soil simultaneously, the direct method models the soil and structure together, and the responses of soil and structure are determined simultaneously by analyzing SSI system in each time step [22].
In the direct method, the discretization of nonlinear dynamic equations can be expressed in FEM framework as:
where
Over the past two decades, the use of damage and energy concepts for the seismic performance evaluation and design of structures has attracted considerable attention among the researchers [30, 44-47]. These concepts can be simultaneously used through a combined damage index namely Park-Ang damage index. The index is taken into account as a combined index, defined as the linear combination of the maximum displacement and the hysteretic energy dissipation for a structural element. For this reason, the damage index [44] is one of the indices that have widely been used for damage assessment and damage-based design of RC structures [14, 22, 28-30, 45-46, 48]. As shown in Table 1, some limit states of the performance levels depend on the damage indices.
An improved version of the index namely modified Park-Ang damage index [43] is defined based on the cross-section deformation of structural elements as:
where
where
OpenSEES [49], as an open-source computational software framework, is used for by simulation of SSI system, and performing nonlinear dynamic analyses of SSI system depicted in Fig. 1. Assuming materials of constant properties over its depth, soil encompasses different layers, and the foundation is considered as rigid strip footing. Beams and columns of structure are modeled using force-based nonlinear beam-column element with considering the spread plasticity along the element’s length. The integration along each element is based on Gauss-Lobatto quadrature rule. Also, the infinite boundaries of soil are modeled using the artificial boundaries (Fig. 1). The model of soil-structure system shown in Fig. 1 was successfully used by [14, 22, 31].
The Kent-Scott-Park model [50] is utilized for modeling the confined and unconfined concrete of cross-sections of structural elements. The constitutive parameters of this model are:
where
In this study, the one-dimensional
Direct method configuration for modelling of SSI system [
Material constitutive models; (a) Concrete, (b) Steel [
Soil layers are modeled using isoperimetric four-node quadrilateral finite elements and assuming bilinear displacement interpolation. The plane strain condition is assumed for the soil domain with considering a constant soil thickness corresponding to the inter-frame distance. The material of the soil is modeled using a modified pressure-independent multi-yield-surface
Yield surfaces of multi-yield-surface
One of the major problems in SSI system for infinite media has been the modeling of the domain boundaries. Infinite boundaries have to absorb all outgoing waves and reflect no waves back into the computational domain. In this study, the standard viscous boundary proposed by Lysmer and Kuhlemeyer [54] is used for this purpose. This boundary can be described by two series of dashpots oriented normal and tangential to the boundary of a finite element mesh (Fig. 1) as follows:
where
The material damping matrix,
For RBDO of structures, it is then necessary to utilize accelerograms of compatible characteristics with a desired site. It is often difficult or impossible in some cases to choose a proper record for a site, since historically recorded accelerograms for a given site could be limited or scare. Hence, artificial earthquakes that are statistically influenced by desired properties of the given site are very useful for seismic design of structures. In this work, spectral representation method based on time domain procedure is used for the generation of synthetic ground motion records. The non-stationary ground motion is simulated using this method as [13]:
where
where
where
\n\t\t\t | \n\t\t | \n | \n | \n
\n\t\t | \n\t5.12 | \n\t10.24 | \n\t20.48 | \n
\n\t\t | \n\t0.50 | \n\t1.50 | \n\t2.00 | \n
\n\t\t | \n\t4.00 | \n\t8.00 | \n\t16.00 | \n
\n\t\t | \n\t2.0 | \n\t1.0 | \n\t0.7 | \n
\n\t\t | \n\t2.0 | \n\t2.0 | \n\t2.0 | \n
NFR | \n\t100 | \n\t200 | \n\t300 | \n
\n\t\t | \n\t12 | \n\t15 | \n\t15 | \n
\n\t\t | \n0.40 | \n0.40 | \n0.40 | \n
Parameters for the generation of simulated ground motion (*
The PGA values are obtained corresponding to hazard curves and produced for a specific region. As shown in Table 3, in this work the hazard curves presented by Möller et al. [13] are used. An artificial earthquake generated based on Eq. (19) is shown in Fig. 4.
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t
50% in 50 years | \n\t\t73 | \n\t\t0.27 | \n\t
10% in 50 years | \n\t\t475 | \n\t\t0.6 | \n\t
5% in 50 years | \n\t\t975 | \n\t\t0.8 | \n\t
The PGA values of seismic hazard levels
An artificial earthquake with PGA=0.8g [
Based on the work presented by Khatibinia
GSA was introduced by Rashedi
where
To compute the acceleration of an agent, total forces from a set of heavier masses applied to it should be considered based on the law of gravity (Eq. (23)). Afterwards, the next velocity of an agent is calculated as a fraction of its current velocity added to its acceleration (Eq. (24)). Then, its next position could be calculated using Equation (25):
where
The binary GSA (BGSA) for solving discrete problem was developed by Rashedi
Based on Eq. (26), a large computer memory is needed for the position of agents in BGSA. Also, coding and encoding of the position of agents is a time consuming process. In order to overcome the shortcomings of BGSA, a new DGSA based on the fundamental concept of the standard GSA with passive congregation is presented herein. The passive congregation strategy as perturbations operator can transfer information among agents in the optimization procedure [24]. Therefore, the search performance of DGSA can be improved using the passive congregation. To achieve this purpose, Khatibinia
where
In DGSA, the scalar
Therefore, the coding and encoding of the position of agents are omitted; and the position of agents is calculated as the integer value. The current position of agents may violate from the values of the set
where
MCS requires excessive computational cost for RBDO of structures in order to obtain an acceptable accuracy [11]. Because of the drawback, Khatibinia
WLS-SVM was introduced as excellent machine learning algorithms in large-scale problems by Suykens
WLS-SVM is described as the following optimization problem in primal weight space [26]:
Subject to the following equality constraints:
where
It is impossible to indirectly compute
Based on the Karush-Kuhn-Tucker (KKT) conditions, by eliminating
where
According to Mercer’s condition, a kernel
Consequently, the final WLS-SVM model for the prediction of functions becomes:
Weight
where
In WLS-SVM, Gaussian radial basis function (RBF) is frequently used as the kernel function, and it is expressed as:
where
Based upon the Suykens
Wavelets as kernel function have been introduced and developed in ANNs and SVMs [60-63]. It has been shown that wavelet kernel functions are superior to other kernel functions in the training ANN and SVM. Accordingly, the kernel function of WLS-SVM is substituted with a specific kind of wavelet functions proposed by Khatibinia et al. [22]. The meta-model based on wavelet kernel function is called WWLS-SVM. The cosine-Gaussian Morlet wavelet is used as the kernel function of WLS-SVM. The wavelet function is mathematically written as follows:
where
According to Zhang
where
Therefore, according to Eqs. (40) and (41), the wavelet kernel function of the cosine-Gaussian Morlet wavelet is given as follows:
The accuracy of WWLS-SVM prediction depends on the good selection of its parameters. Selecting appropriate values of these parameters is important for obtaining the excellent predicting performance. Hence, in this study, GSA is used to find the WWLS-SVM optimal parameter,
where
The WWLS-SVM training stage during GSA is performed according to the
The converged solution is affected by the setting value of parameters in GSA. In this study, the values are selected based on the general recommendations by Rashedi
The prediction meta-model based on WWLS-SVM and GSA [
In the RBDO procedure, nonlinear time-history analysis of SSI system is used and it may be failed regarding a number of random structures [65]. In fact, a number of structures collapse and then lose their stability. Hence, these structures should be identified and eliminated from optimization process. For this purpose, a failure probability is considered as stability criterion. An efficient method is presented to train the failure probability with high performance [65]. This efficient method is consisted of a modified adaptive neuro fuzzy inference system (ANFIS) with a hybrid of fuzzy c-means (FCM) [66] and fuzzy particle swarm optimization (FPSO) [67]. To train the modified ANFIS, the input–output data are classified by a hybrid algorithm consisting of FCM-FPSO clustering. The optimum number of ANFIS fuzzy rules is determined by subtractive algorithm (SA).
The FCM algorithm has been extensively studied and is known to converge to a local optimum in nonlinear problems. Moreover, the FPSO algorithm is robust method to increase the probability of achieving the global optimum in comparison with the FCM algorithm. The FCM algorithm is faster than the FPSO algorithm because it requires fewer function evaluations. This shortcoming of FPSO can be dealt with selecting an adequate initial swarm [65].
In this study, a hybrid clustering algorithm called FCM-FPSO is presented to use the merits of both FCM and FPSO algorithms and increase the procedure of convergence. In this way, the FCM algorithm finds an adequate initial swarm FPSO algorithm for commencing the FPSO. For this purpose, first, the FCM algorithm is utilized to find a preliminary optimization that shown by
The algorithm flow of the FCM–FPSO for clustering [
An ANFIS model depends on the number of ANFIS fuzzy rules and membership functions. In other words, creating an ANFIS model with a minimum number of fuzzy rules can eliminate a well-known drawback. Therefore, for overcoming of this drawback, Khatibinia
The algorithm flow of the proposed method [
In this work, two RC frame structures shown in Fig. 8 are selected as illustrative examples. Three layers of sand associated with material properties varying over its depth are considered as the soil under the frames. The depth of each soil layer and the entire width of soil domain are considered to be 10 m and 100 m, respectively. The soil is also assumed to have plane strain condition with a constant thickness of 5.0 m in proportion to the inter-frame distance. Inertia properties of the soil mesh are considered using lumped mass matrices modeling with soil mass density of 17 kN/m3 for all soil layers. The values of the dead and live loads are considered to be
Two illustrated RC frame structures [
For vertical continuity on the dimensions along the height of a column, the section database of columns is divided into three types in the height of RC frame. Hence, a database shown in Table 4 is generated. Similarly, the section database of beams is divided into three types in the height of RC frame. Distribution of beam dimensions along the height of the frame is shown in Table 4. The diameter of longitudinal bars for beams and columns is laid between 12 mm and 32 mm in the databases.
The initial cost is calculated for
The concrete material parameters shown in Table 5 are considered for the cover of column cross-sections. The strain corresponding to the peak strength,
where
\n\t\t\t | \n\t\t\n\t\t\t | \n\n\t | \n||||
\n\t\t | \n\t\n\t\t | \n\t\n\t\t | \n\t\n\t\t | \n\t\n\t\t | \n\t\n\t\t | \n|
1 | \n\t65 | \n55 | \n45 | \n55 | \n50 | \n45 | \n
2 | \n\t60 | \n50 | \n40 | \n55 | \n50 | \n45 | \n
3 | \n\t55 | \n50 | \n40 | \n55 | \n50 | \n45 | \n
4 | \n\t55 | \n45 | \n40 | \n55 | \n50 | \n45 | \n
5 | \n\t55 | \n45 | \n35 | \n50 | \n45 | \n40 | \n
6 | \n\t50 | \n45 | \n40 | \n50 | \n45 | \n40 | \n
7 | \n\t55 | \n45 | \n35 | \n50 | \n45 | \n40 | \n
8 | \n\t- | \n\t- | \n\t- | \n\t50 | \n45 | \n35 | \n
The section database of columns and beams. (a. The unit of sections is cm)
The presented DGSA requires the user to specify several internal parameters that can affect convergence behavior at the search space. It is found that a population of 50 agents can be adequate. Higher values are not recommended, as this will increase significantly computation time in RBDO. In addition, different optimization runs are carried out for RBDO model in this study, so optimum designs are found by DGSA about 150 iterations. Due to the effect of decreasing gravity, the actual value of the gravitational constant,
Six-storey RC frame is shown in Fig. 8(a). In the frame, the length of each bay and the height of stories are 5 m and 3 m, respectively. The members of the structure are divided into four groups for the columns C1, C2, C3, C4 and four groups B1, B2, B3 and B4 for the beams. The groups of structural elements are presented in Fig. 8(a).
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t
Concrete | \n\t\t\n\t\t | \n\t\t | \n\t\t | \n\t |
\n\t\t | \n\t\t\t | \n\t\tLognormal | \n\t\t28 | \n\t\t2 | \n\t
\n\t\t | | \nNormal | \n0.0035 | \n0.00035 | \n
Steel | \n\t\n\t | \n\t | \n\t | \n |
\n\t | \n\t\t | \n\tLognormal | \n\t340 | \n\t25 | \n
\n\t | \n\t\t | \n\tLognormal | \n\t210000 | \n\t8000 | \n
\n\t | \n\t\t | \n\tNormal | \n\t0.015 | \n\t0.0015 | \n
Soil | \n\t\n\t | \n\t | \n\t | \n |
\n\t | \n\t\t | \n\tNormal | \n\t375 | \n\t10 | \n
\n\t\t | \nNormal | \n37.5 | \n1.0 | \n|
\n\t\t | \n\tNormal | \n\t300 | \n\t20 | \n|
\n\t\t | \nNormal | \n37.5 | \n1.0 | \n|
\n\t\t | \n\tNormal | \n\t200 | \n\t10 | \n|
\n\t\t | \nNormal | \n32.5 | \n1.0 | \n
The marginal probability distribution, mean and standard deviation of materials
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t
| \nLognormal | \n300 | \n100 | \n
| \nNormal | \n- | \n0.15 | \n
| \nNormal | \n2.5 | \n0.375 | \n
Properties of the random variables for generation of the artificial earthquakes
To predict the mean,
In order to validate the performance and accuracy of the proposed meta-model, relative root-mean-squared error, i.e.
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||||
| \n | \n | \n | \n | \n | \n|
\n\t\t | \n\t375.73 | \n\t2.892 | \n\t4.274 | \n\t284.62 | \n\t1.647 | \n\t4.048 | \n
\n\t\t | \n\t386.04 | \n\t3.804 | \n\t6.347 | \n\t314.42 | \n\t2.104 | \n\t4.702 | \n
\n\t\t | \n\t400.48 | \n\t3.615 | \n\t5.895 | \n\t373.67 | \n\t2.548 | \n\t3.692 | \n
\n\t\t | \n\t365.37 | \n\t4.052 | \n\t6.329 | \n\t308.38 | \n\t1.947 | \n\t4.082 | \n
Optimal parameters of the meta-model for training the mean and the standard deviation of the seismic responses
The smaller
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||||||
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||
WWLS-SVM | \n\t\t\n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t |
\n\t\t | \n\t\t\t | \n\t\t2.008 | \n\t\t2.417 | \n\t\t2.337 | \n\t\t2.172 | \n\t\t2.163 | \n\t\t2.075 | \n\t\t2.532 | \n\t\t3.406 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.018 | \n\t\t0.022 | \n\t\t0.020 | \n\t\t0.021 | \n\t\t0.023 | \n\t\t0.024 | \n\t\t0.045 | \n\t\t0.028 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.9999 | \n\t\t0.9998 | \n\t\t0.9998 | \n\t\t0.9999 | \n\t\t0.9999 | \n\t\t0.9998 | \n\t\t0.9998 | \n\t\t0.9997 | \n\t
WLS-SVM | \n\t\t\n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t |
\n\t\t | \n\t\t\t | \n\t\t5.328 | \n\t\t6.302 | \n\t\t5.392 | \n\t\t5.862 | \n\t\t5.386 | \n\t\t6.017 | \n\t\t6.007 | \n\t\t5.737 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.057 | \n\t\t0.074 | \n\t\t0.059 | \n\t\t0.061 | \n\t\t0.079 | \n\t\t0.094 | \n\t\t0.091 | \n\t\t0.064 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.9988 | \n\t\t0.9979 | \n\t\t0.9987 | \n\t\t0.9987 | \n\t\t0.9985 | \n\t\t0.9984 | \n\t\t0.9988 | \n\t\t0.9988 | \n\t
Performance associated with the mean and the standard deviation of the seismic responses.
As given in Table 8, the proposed meta-model trained for the mean and the standard deviation of seismic responses has proper performance generality. Thus, the approximating performance of the meta-model based on WWLS-SVM and GSA is better than the WLS-SVM with RBF kernel in predictive ability and precision.
In this example, RBDO of the RC frame is performed using DGSA associated with WWLS-SVM-based MCS. In the reliability process, the reliability indices,
As shown in Table 9, the optimal solutions of DGSA are better than those of BGSA in terms of the total cost and the number of iterations. The minimum reliability index,
The convergence histories of the optimum objective function are shown in Fig. 9 for DGSA and BGSA models. As can be seen in Fig. 9, DGSA method is more efficient than BGSA method. Optimum designs are found by DGSA and BGSA in 4450 and 5900 required approximate analyses by the meta-model, respectively.
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||
\n\t\t\t | \n\t\t\n\t\t\t | \n\n\t | \n\n\t | \n|
C1\n\t | \n\t55 | \n2.67 | \n55 | \n3.23 | \n
C2\n\t | \n\t55 | \n2.64 | \n55 | \n3.20 | \n
C3\n\t | \n\t45 | \n2.56 | \n45 | \n2.60 | \n
C4\n\t | \n\t45 | \n2.33 | \n45 | \n2.48 | \n
B1\n\t | \n\t50 | \n1.98 | \n50 | \n2.38 | \n
B2\n\t | \n\t50 | \n2.13 | \n50 | \n2.30 | \n
B3\n\t | \n\t45 | \n1.81 | \n45 | \n1.88 | \n
B4\n\t | \n\t45 | \n1.69 | \n45 | \n1.78 | \n
\n\t\t | \n\t3448 | \n\t3542 | \n||
\n\t\t | \n\t1080 | \n\t1045 | \n||
\n\t\t | \n\t4528 | \n\t4587 | \n||
Iterations | \n\t89 | \n\t118 | \n||
| \n1.4435 | \n1.6901 | \n||
| \n2.4885 | \n2.7342 | \n||
| \n2.7986 | \n3.1384 | \n
Optimum designs obtained by DGSA and BGSA
Convergence histories of the best solution of DGSA and BGSA
Nine-storey RC frame is shown in Fig. 8(b). In the frame, the length of each bay and the height of stories are 5 m and 3 m, respectively. The members of the structure are divided into six groups for the columns and six groups for the beams. The groups of structural elements are presented in Fig. 8(b).
After training database using the presented WWLS-SVM optimal parameters of the meta-model associated with the mean and the standard deviation of seismic responses are shown in Table 10. Furthermore, the performance generality of the proposed meta-model and WLS-SVM is given in Table 10 in terms of
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||||||
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||
WWLS-SVM | \n\t\t\n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t |
\n\t\t | \n\t\t\t | \n\t\t2.837 | \n\t\t3.028 | \n\t\t3.127 | \n\t\t2.689 | \n\t\t3.024 | \n\t\t2.682 | \n\t\t3.008 | \n\t\t3.105 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.026 | \n\t\t0.038 | \n\t\t0.035 | \n\t\t0.023 | \n\t\t0.032 | \n\t\t0.024 | \n\t\t0.031 | \n\t\t0.036 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.9999 | \n\t\t0.9998 | \n\t\t0.9998 | \n\t\t0.9999 | \n\t\t0.9998 | \n\t\t0.9999 | \n\t\t0.9998 | \n\t\t0.9998 | \n\t
WLS-SVM | \n\t\t\n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t\t | \n\t |
\n\t\t | \n\t\t\t | \n\t\t5.538 | \n\t\t6.346 | \n\t\t6.483 | \n\t\t6.006 | \n\t\t6.305 | \n\t\t5.396 | \n\t\t5.843 | \n\t\t5.579 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.094 | \n\t\t0.138 | \n\t\t0.162 | \n\t\t0.105 | \n\t\t0.1057 | \n\t\t0.0987 | \n\t\t0.0998 | \n\t\t0.0924 | \n\t
\n\t\t | \n\t\t\t | \n\t\t0.9987 | \n\t\t0.9985 | \n\t\t0.9981 | \n\t\t0.9988 | \n\t\t0.9987 | \n\t\t0.9988 | \n\t\t0.9988 | \n\t\t0.9988 | \n\t
Performance associated with the mean and the standard deviation of seismic responses.
The results of Table 10 demonstrate that the meta-model is better than the WLS-SVM method in terms of performance generality. Therefore, the meta-model is reliably employed to predict the necessary responses during the RBDO process.
As the first example, in this example RBDO of the RC frame is performed using DGSA and BGSA associated with WWLS-SVM-based MCS. In this example, the cross-section of beams and columns are selected from Types 1, 2 and 3, which are shown in Table 4. The best optimum designs of the RC frame are listed in Table 11.
As revealed in Table 11, the optimal solutions of DGSA are better than those of BGSA in terms of the total cost and the number of iterations. The minimum reliability index,
The convergence histories of the optimum objective function are shown in Fig. 10 for DGSA and BGSA models. As can be seen in Fig. 10, DGSA method is more efficient than BGSA method. Optimum designs are found by DGSA and BGSA in 4150 and 6150 required approximate analyses by the meta-model, respectively.
\n\t\t\t | \n\t\t\n\t\t\t | \n\t\t\n\t\t\t | \n\t||
\n\t\t\t | \n\t\t\n\t\t\t | \n\n\t | \n\n\t | \n|
C1\n\t | \n\t65 | \n2.49 | \n65 | \n2.90 | \n
C2\n\t | \n\t60 | \n2.50 | \n60 | \n3.08 | \n
C3\n\t | \n\t55 | \n2.53 | \n55 | \n2.87 | \n
C4\n\t | \n\t50 | \n2.49 | \n50 | \n2.79 | \n
C5\n\t | \n\t45 | \n2.27 | \n45 | \n2.68 | \n
C6\n\t | \n\t40 | \n2.29 | \n40 | \n2.89 | \n
B1\n\t | \n\t55 | \n1.88 | \n55 | \n2.18 | \n
B2\n\t | \n\t55 | \n1.80 | \n55 | \n1.98 | \n
B3\n\t | \n\t50 | \n1.82 | \n50 | \n2.01 | \n
B4\n\t | \n\t50 | \n1.87 | \n50 | \n1.98 | \n
B5\n\t | \n\t45 | \n1.68 | \n45 | \n1.79 | \n
B6\n\t | \n\t45 | \n1.66 | \n45 | \n1.85 | \n
\n\t\t | \n\t5571 | \n\t5736 | \n||
\n\t\t | \n\t1004 | \n\t987 | \n||
\n\t\t | \n\t6575 | \n\t6723 | \n||
Iterations | \n\t83 | \n\t123 | \n||
| \n1.4985 | \n1.7101 | \n||
| \n2.4953 | \n2.7996 | \n||
| \n2.8514 | \n3.1837 | \n
Optimum designs obtained by DGSA and BGSA
Convergence histories of the best solution of DGSA and BGSA
In general, the optimum design of structures depends on a number of parameters that are inherently uncertain. Reliability-based design optimization (RBDO) has been employed as the only method that assesses the influence of uncertain parameters and balance both cost and safety of structures. To account for all necessary uncertain and random parameters in RBDO of RC structures and to achieve the realistic optimum design of RC structures, the uncertain material properties of soil and structure, as well as the characteristics of ground motions should be considered as random parameters. Furthermore, the realistic seismic responses of RC structures can be account by consideration of soil-structure interaction (SSI) effects. In this work, a new discrete gravitational search algorithm (DGSA) and a new meta-modeling framework were incorporated for RBDO of RC structures with Performance-Based Design (PBD) under seismic loading. The objective of the RBDO problem was to minimize the total cost whereas the deterministic constraints and the system reliability index corresponding to each of the performance levels should not exceed a specified target. Based on this study, the following conclusions can be drawn:
To reduce the computational effort and computational cost of the Monte-Carlo Simulation (MCS) method, a new meta-model based on a wavelet weighted least squares support vector machine (WWLS-SVM) and gravitational search algorithm (GSA) was utilized in the RBDO procedure. Therefore, the proposed meta-model, as a substitute for the nonlinear dynamic analysis of SSI system, can estimate the reliability index through MCS with a small computational cost.
The WWLS-SVM and kernel parameters were simultaneously optimized in the proposed meta-model in order to improve performance generality of WWLS-SVM. Numerical results of training and testing the meta-model indicated that performance generality of the meta-model was higher in comparison to WLS-SVM. Hence, the proposed meta-model can predict the nonlinear dynamic analysis of SSI system in terms of accuracy and flexibility.
The proposed DGSA was presented based on the standard GSA with passive congregation. The passive congregation strategy can be considered as perturbations operator in the optimization procedure. Therefore, the presented DGSA using the passive congregation can transfer information among agents avoiding local minima. Furthermore, the coding and encoding of the position of agents as a time consuming process is omitted in DGSA. To eliminate this drawback, the position of agents was calculated as the integer value. The optimum designs obtained by DGSA were compared with those produced by BGSA model. Numerical examples showed that the proposed DGSA can converge and reach the optimum design more quickly than the BGSA model.
Future extension of current research could include reducing the computations involved in the PBD by replacing MCS with the response surface method or the importance sampling technique. The constraints imposed on the objective function could be also treated as random quantities (see [68]).
Our special thanks go to Dr. Eysa Salajegheh (Distinguished Professor of Structural Engineering) in Department of Civil Engineering at Shahid Bahonar University of Kerman, Iran, for his cooperation in this research work.
Creativity has been repeatedly identified as an important factor in the growth and development of organizations and society as a whole, yet is a complex and difficult subject to examine and understand [1]. Managers and leaders of modern organizations need to be able to facilitate creativity and innovation in uncertain environments. Taha et al. [2] said, “creativity is seen almost as a prerequisite to manage change and renewal, it is a key skill for leaders and organizations” (p. 1921). It has been said that creativity loves constraints [3] and so at a time when many organizations feel under increasing pressure and constraints seem aplenty, creativity offers one means of relieving some pressure and navigating an uncertain future. Yet creativity alone, generally defined as the generation of novel and useful ideas [4], is not sufficient. This is because novel and useful ideas by themselves do not create and capture value for a business, its stakeholders or society. In order to do this creative ideas need to be implemented in practice and in so doing become innovation [5]. In the words of Robinson [6], noted for his work on creativity in education, “Innovation is applied creativity” (p. 142). Creativity itself can be viewed as a process [7] and is clearly an essential part of innovation, but it is just one part of a broader process. In order to help managers and leaders get the most out of creativity, particularly in challenging times, we need to do more to help them understand both the process of creativity, but also how this is applied in practice and therefore how it relates to the broader process of innovation.
Most management education, including MBA programmes, still focus on discipline specific knowledge, largely developed through analysis that draws on theories that were created in the relatively stable environments of the last century. Today’s managers and leaders face more turbulent environments and so need to develop skills based on synthesis, creativity [8, 9], experimentation [10], and learning from intelligent failure [11, 12, 13]. Walsh and Powell [14] said, “solutions to the wicked problems offered in contemporary society require creativity and innovation—aspects that may be difficult to incorporate into the curriculum of a functionally oriented MBA programme” (p. 150). More creative approaches to modern management education are therefore required.
In order to educate managers and leaders to have a better understanding of creativity and innovation we need to first look upstream to what enables creativity. Creativity within organizations is notoriously stifled when restrictive organizational culture does not support, or even suppresses, novel thinking. Such cultures do not encourage questioning the status quo, itself defined as a key factor in encouraging innovation [15]. An inherent assumption that we know what we are doing and we have done this before is ultimately what can spell trouble for organizations when they encounter volatile, uncertain, complex or ambiguous situations (VUCA) [10]. The thinking and approaches that were successful in the past do not necessarily translate to success in the future in such conditions. One of the key attributes or mindsets that enable organizations to better navigate these conditions is curiosity [16]. Having an open and enquiring mind enables people to challenge long held assumptions that come under strain when conditions change. Simply asking why is sometimes seen as challenging authority but is more often a sign of healthy curiosity. Asking such questions enables people to discover what sits beyond the obvious and brings new understanding. Nurturing curiosity in organizations is necessary for enabling more creative and ultimately innovative solutions to wicked problems.
Similarly we also need to better understand and educate managers on how to apply creativity in order to drive innovation. In other words how to implement creative solutions in order to create and capture value. Successful innovation rates continue to remain low and frequently it is this implementation link that is the major barrier [17]. A mindset that helps enable implementation of creative solutions is clarity [16]. Having clarity of purpose and being able to communicate this succinctly makes it much simpler for others to understand the relevance of any innovation for them and therefore decide when to support the change. Again this becomes more relevant in VUCA environments because implementing change in new situations often involves drawing resources from beyond an organization’s current asset base. Being able to draw on open approaches to innovation and form mutually beneficial partnerships are often required [18]. As a result designing for implementation should be considered an essential element of the innovation process, rather than something that is carried out afterwards, as with many current innovation process models. Again this is something that is enabled by clarity.
This chapter will fist look into curiosity, creativity and clarity in further detail including their relevance for leaders and managers. It will then bring them together to describe an overall innovation process based on phases of discovering, understanding, creating, testing, resourcing and implementing (DUCTRI). An illustrative case will then describe how this process has been fruitfully deployed and refined in an MBA course over the past 5 years.
Curiosity has been described as being essential for human learning and achievement. As broadly defined by Kashdan et al. [19] curiosity is “the recognition, pursuit, and desire to explore novel, uncertain, complex, and ambiguous events” (p. 130). In order to help leaders and managers get curious about curiosity, recent research suggests there are five distinct types of curiosity [19]. Firstly there is the pleasurable experience of discovering something new and finding it intriguing. This is referred to as joyous exploration. This is where people have a love of learning and are generally fascinated about new things. While this aspect of curiosity is therefore associated with positive emotions, the next is more closely associated with negative emotions. This second type of curiosity is known as deprivation sensitivity. This is the sense of frustration caused by the awareness that there is something unknown that is desired to be known. Here people may be annoyed or anxious until they are able to resolve the information gap. The third aspect of curiosity is stress tolerance. This is the result of first noticing that an event is new in some way and worthy of attention, but then being able to cope with the stress associated with navigating the potential uncertainty. The fourth type of curiosity is the reverse of stress tolerance, where rather than just tolerate this stress people actively seek it. This is referred to as thrill seeking and is where the arousal from a novel situation is not something to be reduced but instead is amplified and what makes the situation desirable. The fifth type of curiosity is social curiosity. This is where we are seek information about other people and enables us to empathize with others. This comes about in two ways. Firstly through direct interactions with others we satisfy overt social curiosity to find out about others. And secondly, by indirect means we can have covert social curiosity which is most often used as a means of building self-esteem by comparison with others.
Research into curiosity in organizational settings has found that increased curiosity in an organization leads to greater levels of creativity and innovation [20, 21, 22, 23]. But it also supports better decision making, reduced conflicts and allows more open communication [24]. However, while the benefits are well established, organizational culture still often gets in the way. One study found that while 83% of executives say they encourage curiosity, only 52% of employees agreed [25]. Gino [24] suggests that two key reasons for this is that leaders think allowing employees to follow their curiosity will make the organization harder to manage. And secondly, particularly established managers tend to focus on efficiency improvements rather than exploratory efforts. Similarly Kashdan [26] suggests that to encourage greater curiosity in organizations managers need to encourage rather than supress questions internally, emphasize user observations rather than relying on customer surveys, and actively seek different perspectives when making decisions.
In helping leaders and managers think about creativity as a process we can look back to a very early model of creativity which was proposed by G. Wallas [27] which was based on his analysis of the thought processes of physicist Hermann von Helmholtz, mathematician Henri Poincaré, and several other artists, when generating their significant new works. He identified four common phases they each went through and described the psychology of each phase. The first step was described as preparation, where an individual focusses on the problem at hand and builds conscious knowledge based on what currently exists in the field, leveraging curiosity. Secondly he suggested there is an incubation phase during which the problem is internalized and the subconscious works on the issue for some time. This is often the most difficult to allow for in organizational settings where time pressure is ever present. But when seeking creative solutions to wicked problems this is a key reason not to rush the creative process. It takes some time for the subconscious to process and create novel connections. Then there is an intimation or feeling that the solution is near. The third phase is the illumination where the creative solution is forthcoming to the conscious mind. Finally then there is a verification phase where the solution is checked, tested and modified by the conscious. This model of the creative process has stood the test of time and while there has been some debate over the nature of some of the elements remains one of the standards in the psychology of creativity [28].
Another model of creative thinking that is helpful for managers and leaders is based on divergent and convergent thinking. In 1950 in his address as the President of the American Psychological Association, J.P. Guilford decried the lack of studies scientifically examining creativity stating that such neglect was appalling given the importance of creativity to societal wellbeing [29]. He went on to develop a model of intelligence in which he identified divergent production, or the ability to generate multiple options, as a key operation in creative ability [30]. This is then coupled with convergent thinking where we make decisions on a range of options. Basadur et al. [31] proposed a three stage model of the complete creative problem solving process in which each stage consists of a divergent-convergent thinking pair. The three stages are problem finding, problem solving and solution implementation. This inclusion of implementation in the process means by current definitions we would refer to this as innovation. Again in organizational settings there are challenges particularly in encouraging true divergent thinking. Management education has something to answer to here as most subjects and disciplines have been dominated by analysis and theories which help managers narrow their options and make decisions with the information they have, which is classic convergent thinking. Most managers and leaders then have spent much of their careers in convergent thinking modes at the expense of divergent thinking. Management education can learn from arts based education [14] and needs to encourage tools and techniques to promote divergent thinking.
An alternative creativity process that is also helpful for managers and leaders to understand is creative synthesis [32], which can also be referred to as integration or bisociation [33, 34]. Synthesis comes about when the intersection of diverse fields of knowledge come together to create a new amalgamation that is in itself novel and valuable. Particularly in organizations this has significant implications about the value of diversity and the nature of conflict in the creative process. Having diverse views, skills and experiences in the organization enables greater creativity because it is when these different planes of knowledge can be bought together is where more creative solutions can result. This is particularly true for wicked problems where if a group all has similar perspectives on a problem they will tend to approach the problem in the same way, and so all get stuck at the same point. By having diverse perspectives involved it often means problems can be approached from multiple different angles providing different ways around obstructions and more creative solutions are uncovered as a result. But managing diverse views can mean dealing with conflict. Creative conflict should be seen as a healthy part of the process and organizations that manage this well ensure that ideas are regularly challenged but avoid it becoming personal [35]. When seeking synthesis, opposing views should be bought together to create unique shared understanding. Again organizational leaders and managers have often been trained out of using synthesis as opposed to analysis. In his influential critique of the formulaic approach to strategic planning and analysis in large organizations H. Mintzberg [36] stated that, “Strategic thinking, in contrast, is about synthesis. It involves intuition and creativity” (p. 108).
In terms of organizational creativity many researchers have been focussed on the apparent tensions between aspects of organizations that may hinder employee creativity, such as structure, direction and predictability, with those that may enhance it such as challenge, autonomy and experimentation [4, 37]. However this notion of structure and creativity being polar opposites is itself being challenged by viewing organizational processes and practices themselves as being dynamic factors that are in a constant state of change over time. Organizational structures and routines that both constrain and enable action are in themselves being created, enhanced or undermined by people’s actions within the organization [7].
Design thinking is a term that has been broadly used to describe a designerly approach to creativity and innovation and is seen as describing a user centric innovation process with phases of inspiration, ideation and implementation [38]. Design thinking has become increasingly popular in industry as a means of addressing complex problems and draws explicitly on many creativity processes. In particular having conscious phases of divergent and convergent thinking are often depicted as a part of the process, including the UK Design council’s well used double diamond [39]. However, contrasting the double diamond to the three stage model of a “complete creative problem solving process”, discussed earlier [31] highlights that the double diamond and many design thinking process do not pay particular attention to the implementation phase. This is a surprising omission due to the fact that implementation is often one of the most challenging parts of the innovation process [17]. Arguably then many design thinking processes could be described as organizational creativity processes rather than full innovation.
Clarity can be thought of in several ways and each have relevance to implementing creative solutions in organizations. Firstly there is clarity of purpose. Dobni et al. [40] state, “no company can escape the fact that present management principles are becoming a less reliable guide to the future. Clarity is essential” (p. 20). An organization or even individual needs to be able to describe exactly why they do what they do. Increasingly organizations are being called on to define their purpose and articulate their strategy and impact of their operations. When it comes to implementing creative solutions then, clear alignment with purpose is a significant factor in determining the successful adoption of any new change. This is true for both internal and external stakeholders when trying to build support and gather resources, particularly social capital. If others cannot clearly see how a new initiative supports the stated purpose then they are naturally less likely to engage or support it. If however it has clear alignment with the purpose and this is well communicated then gathering support is much more likely. This also assumes that an organization or individual in question has a clearly defined purpose. If not then often a new initiative is a way of exploring and better defining what this should be. A key tool to help in this endeavor is the use of double loop learning [41]. So often both organizations, and the individuals within them, are tied up in execution of their plans, correcting for any errors or deviance from the plan, they forget to step back and check if this is even the right plan to be executing. Discipline specific knowledge helps us become more efficient in doing things right, building skills in solving specific problems faster and improving processes to eliminate waste. But sometimes this focus on doing things right means that we forget to take time to step back and check if we are doing the right things. This double loop learning means having clarity about why we are doing these things and if necessary challenging the inherent assumptions in place.
Another aspect of clarity is communicating the vision for where the solution will take us which is needed to help overcome resistance to change. As described by C. Heath and D. Heath [42], “Clarity dissolves resistance” (p. 72). In order to affect change there needs to be clear direction that people’s rational thinking can see and support. They suggest this comes through showing positive examples of change, as opposed to our natural tendency to focusing on correcting the downside. Alongside this is the need to paint a clear picture of the future state so people can see where this change is leading. There also needs to be a clearly communicated expectation of what specific behavior is required. They refer to this as scripting the critical moves. Resistance to change is often a result of either decision paralysis or decision exhaustion. This may be counterintuitive when generally we think of providing as much choice as possible is beneficial but research has proven that too much choice can lead to people actually opting out of any decision [43]. Alongside these means of appealing to the rational aspects of change they also highlight the need to motivate the emotional drivers for change along with shaping the environment to nudge behavior in the intended direction [44].
In response to the need for tools, theories and methods to help people with creative problem solving in uncertain environments design thinking has been widely adopted in industry, and has slowly made its way into many management higher education programmes. Yet many of the existing models that are in use, both in industry and existing management education, do not incorporate the complete creative problem solving process as defined by Basadur [31] and described earlier. The three phases, each with divergent-convergent thinking, should include problem finding, problem solving and solution implementation. While most design process models do a very good job on the first two areas they generally do not include much if any detail on the final phase. In fact some explicitly stop after the first two phases, for example the UK design council’s double diamond. Given implementation is where so many initiatives fail [17] this is a significant shortcoming. These three phases have some broad alignment with desirability, feasibility and viability that are proposed as needing to each be considered in designing solutions [45]. As with implementation, the viability aspects are often not a significant focus of most design thinking models.
This became apparent when the author was asked to take over a new executive MBA design thinking course which had run for a single semester in 2015. The author ran the course for the first time in 2016 using one of the typical design thinking models of the day. The student feedback from these 2 years was broadly positive about the concepts, tools and methods as used in the course but there was a common question being asked that, yes it’s good in theory, but how do we implement this in our organization? This led to reexamining the tools and models that were fundamental to the course and alongside ongoing research into the mindsets innovators in industry use [16], a large gap was identified with respect to lack of focus on implementation. The author was also not happy with some of the wordy descriptions for the phases that some models employed which needed simplifying. He also felt that the models needed to highlight the mindsets that support each phase in the process, namely curiosity, creativity and clarity as described above. As a result the DUCTRI (duck-tree) model was created, shown below in Figure 1, in 2017 and was used for the MBA class that year. It has been used it as the basis of the course each year with minor refinements in the 5 years since. It has also been used for several consulting projects with industry, and has subsequently been adopted as the core framework for an undergraduate innovation course.
The DUCTRI model of creative problem solving.
Student feedback is now overwhelmingly positive about this course, the DUCTRI process, and the direct applicability to industry situations. The course was originally an elective but has now become a compulsory course in the MBA structure. Example comments from anonymous student surveys conducted after the 2021 course completed:
Given that a design based approach to creative problem solving should have a bias for action [45], the DUCTRI model uses gerunds, the noun forms of verbs, to describe the actions that should be being undertaken in each main phase. It also overlays the primary mindsets that should be nurtured in each phase to enable these actions, namely curiosity, creativity and clarity. These also align with the focus in each phase in terms of desirability, feasibility and viability. The model retains the pairs of divergent and convergent modes of thinking as the process unfolds which creates more options and then makes decisions on these to narrow the focus in each cycle. Repeat is mentioned at the end because while a clean linear process can be explained on paper in execution it is rarely so clear cut and loop backs are to be expected and some phases will inevitably need to be repeated, if not the whole process.
The first phase of the process is where we are discovering as much as we can about the problem, who is affected, their world, the background and context of the situation. In this phase curiosity should be encouraged and tools such as empathetic interviews, ethnography, talking with extreme users, analogous empathy, focus groups, card sorts and drawing with users can all be valuable in discovering as much as possible about what is happening. This relies on divergent thinking to explore widely.
The second phase is then understanding what is really going on, making sense of the volume of data from the discovering phase and generating insights into the issues at hand. Again curiosity is the driver and tools such as affinity mapping, empathy maps, developing persona, journey maps, reframing, two-by-two matrices, and defining jobs to be done, can all be useful to help generate insights. This phase engages convergent thinking to ultimately come down to a small number of point of view statements and guiding principles which should be able to capture the new understanding of the core problem.
The third phase is creating where creativity should be unleashed and divergent thinking is employed to generate a large number of options for how the problem could be tackled. How might we statements provide the springboard for tools such as nominal group technique brainstorming, lateral thinking, question storming, five whys, walking for creativity, mashups or working in reverse.
The fourth phase is testing where a sub-set of the range of potential solutions are actively tested to generate further insight and converge on the most feasible solutions. This phase still utilizes creativity where prototyping is used with experimental techniques such as A/B tests, storyboards, wizard of Oz prototypes, role plays and dark horse models may be used.
The fifth phase is resourcing which is a divergent phase because by engaging with open innovation [18] the range of options available for gathering resources, including economic, social, cultural and symbolic capital are significant. Such approaches include crowd sourcing, crowd funding, strategic partnerships, prizes or competitions, and engaging with incubators. Tools such as business model canvas [46] and pre-mortems [47] should be used to promote clarity and define required resources including fit with existing business models and overall viability.
Finally implementing is a convergent phase where change management considerations should be designed into the solution to enable successful implementation to take place. Again this requires clarity. Tools and models such as the switch framework [42] with the components required to direct the analytic rider, motivate the emotional elephant and shape the path, including nudge theory [44] and behavioral insights [48], help with this phase.
As with any theory, tool or model it is important to acknowledge its limitations. The DUCTRI process is well suited to complex or chaotic problems where cause and effect relationships are unknown, difficult to untangle or have complex interrelationships. The process does take time and effort particularly in the early stages to try and get to the deeper understanding of these causes. So in situations where the cause and effect relationships are well understood then this may be an inefficient process to solve those types of problems.
In order to encourage curiosity and diversity in class projects the author employs a method called the project marketplace [49] where all students pitch a problem they are passionate about to the whole class prior to forming project teams. The class then all vote on the problems they are most interested in helping solve and groups form around the most interesting problems. During this process in the 2021 MBA class, one student who works in diabetes health pitched a specific problem from her experience that many people when diagnosed with diabetes suffer from avoidable complications due to treatment inertia. Simply put, they delay treatment of the condition and often suffer irreversible damage to their health because of this delay. A number of her classmates were also curious about this problem and so a group of four students with diverse backgrounds including education, marketing, emergency services and health, formed around the problem.
They started by discovering as much as they could about this issue. They engaged in empathetic interviews and spoke with healthcare professionals, diabetics, members of the public and a close contact who had a chronic health condition but not diabetes. They delved into exiting research and data on diagnosis and treatment rates. In total they carried out 51 interviews and gathered 297 individual statements, problems, opportunities or pieces of data.
From their broad and deep discovering work they started to build a greater understanding of the core issues behind the problem. In the understanding phase they created a persona, “Alex”, to help define the characteristics of the human at the center of their problem. They used affinity mapping to collate the swathes of data into 20 overarching themes covering issues such as “Prognosis”, “Why me?” and “Motivation.” They created 12 guiding principles that any solution must try and cover, such as “Reduce stigma”, “Demonstrate the seriousness”, “Link in my support network.” They also developed a new point of view statement based on their new understanding of the core issue, “Alex needs a way to understand what is happening now, and is likely to happen in the future because there is damage being done to their body that could minimized.”
To engage their creativity and start creating lots of potential solutions, the group generated an opportunity statement, “How might we enable Alex to live a full and healthy life with Type 2 Diabetes?” They use nominal group technique to generate ideas individually and then collectively. They also employed question storming and created 39 potential solutions. These ranged from the weird and wonderful; such as a “naughty food taser” and “diabetes dog”; to technology based solutions, such as “a support app” and “diabetes smartwatch”; to various support services, such as “call center” and “personal assistant.”
To narrow down their range of possible solutions and begin testing some of the ideas the group used a two-by-two selection matrix to organize the ideas according to likely effort and likely impact. They also compared the most promising ideas against their earlier guiding principles to ensure there was alignment. From this process they selected two ideas to prototype and test with their user groups. The first being a new “Live well with diabetes” app. This would be a place for the user to record, measure and share their treatment related information and habits. The group created a sketched wireframe using a freely available template to show the possible user screens with the options available to a user accessing it on a smartphone and how they might flow from one aspect of the app to another. They tested this by putting it in front of a small range of some of the participants from the discovering phase research. They conducted one iteration to add in some ideas from the first round of testing and engaged in a second round of tests. In doing so they received further feedback and ultimately came to the valuable insight that:
The second idea the group decided to prototype and test was coined “Glucose Guardians.” This would be a free to the user, telecare health coach service where the user is checked on regularly by a trained guardian. A guardian could help with goal setting, motivational and emotional support, help remove any other barriers for example connecting with transport or financial support services. They would not be a replacement for the primary medical care which would remain with existing healthcare professionals. The group created an infographic as a mock pamphlet for the service and tested the concept with a range of participants from the earlier discovering phase. This met with very positive reactions and highlighted issues such as having good cultural connections between guardians and users which would be invaluable. The team leader who had initially proposed the problem was able to take the prototype to a national health conference and gain additional feedback from a broad base of healthcare professionals, who were also very supportive of the concept. Based on this testing the group progressed with the “Glucose Guardians” concept.
In the resourcing phase the group needed to identify with clarity how the service could be funded and also how it might leverage existing social capital of other organizations already active in diabetes health. They uncovered complications related to the different funding models of different regional health authorities which meant that in some regions they may be able to access funding for initiatives such as this, but this was not possible everywhere. They identified how the role of the guardian would be trained and staffed. They also identified how referrals from healthcare professionals would work. They build two business models with different resourcing options. One where as a stand-alone service they would need to attract some funding, and proposed a small pilot requiring only three guardians to be funded. A second business model was also created where the service would fit within the existing national support organization for diabetes and be largely staffed by volunteers from that organization’s network.
In the implementing phase the group needed to consider how the service would be adopted in practice. They employed the switch framework [42] to identify aspects of clearly communicating and directing the rational mind of the users by having very clear and simple outlines and infographics showing clearly what the service would and would not do. They also tried to motivate the emotions of the users by having relatable coaches that would reduce the barriers to engagement. They also tried to shape the environment to nudge the behavior in the positive direction by making sure the service was connected with existing health professionals so they would be able to refer users directly to the service.
The group were passionate about the problem and so devoted significant effort into this project and were able to achieve a great amount in the relatively short 12 weeks of the course, only a portion of which was available for the project. Subsequent to the course finishing the leader of the group reports that the concept has progressed further into implementing but has evolved into a different format, integrating with another new health coaching service that was created mainly for other long term conditions.
In helping managers and leaders understand and manage the process of innovation in VUCA conditions we need to empower them and their organizations with the tools, techniques and mind-sets needed to solve the complex problems they face. They first need to have an appreciation and desire to engage in problems with curiosity. They then need to be able to unleash creativity in themselves and those around them. Finally, they need to be able to find and communicate with clarity on the solutions that they implement. The DUCTRI model described here was designed to give structure to a process of innovation that has proven to be successful in not only generating creative solutions that deal with the core problems in the world, but also designing them to be implemented and therefore being able to have an impact. It has proven to be a successful means of helping leaders and managers from a wide range of disciplines bring effective innovation to their organizations. The author is hopeful this encourages other management educators to adopt and adapt this process as necessary.
My thanks goes to all the students who have taken an active part in helping refine the DUCTRI model over the past 5 years in the various courses it has been a part of. In particular thanks go to team “The Keytones” for giving permission to use their project as an illustrative case of how this can be applied in practice.
None.
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However, there was no conflict management mechanism in place. Hence, we recommend that the institutional powers to establish, govern and dissolve WMAs should go back to Village Councils. The purpose is to establish economic incentive structures that promote (i) wildlife conservation, (ii) an equitable distribution of associated costs and benefits between Village Councils forming WMAs and (iii) an equitable distribution of costs and benefits between WMAs and higher levels of government as well as international conservation NGOs.",book:{id:"6359",slug:"wildlife-management-failures-successes-and-prospects",title:"Wildlife Management",fullTitle:"Wildlife Management - Failures, Successes and Prospects"},signatures:"Rose P. Kicheleri, Thorsten Treue, George C. Kajembe, Felister M.\nMombo and Martin R. 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He also obtained an MSc in Molecular and Genetic Medicine, and a Ph.D. in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also completed a short-term fellowship in Pediatric Clinical Immunology and Bone Marrow Transplantation at Newcastle General Hospital, England. Dr. Rezaei is a Full Professor of Immunology and Vice Dean of International Affairs and Research, at the School of Medicine, Tehran University of Medical Sciences, and the co-founder and head of the Research Center for Immunodeficiencies. He is also the founding president of the Universal Scientific Education and Research Network (USERN). Dr. Rezaei has directed more than 100 research projects and has designed and participated in several international collaborative projects. He is an editor, editorial assistant, or editorial board member of more than forty international journals. He has edited more than 50 international books, presented more than 500 lectures/posters in congresses/meetings, and published more than 1,100 scientific papers in international journals.",institutionString:"Tehran University of Medical Sciences",institution:{name:"Tehran University of Medical Sciences",country:{name:"Iran"}}},{id:"180733",title:"Dr.",name:"Jean",middleName:null,surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180733/images/system/180733.png",biography:"Dr. Jean Engohang-Ndong was born and raised in Gabon. After obtaining his Associate Degree of Science at the University of Science and Technology of Masuku, Gabon, he continued his education in France where he obtained his BS, MS, and Ph.D. in Medical Microbiology. He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. 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The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. This series is intended for doctors, engineers, and scientists involved in biomedical engineering or those wanting to start working in this field.",coverUrl:"https://cdn.intechopen.com/series/covers/7.jpg",latestPublicationDate:"May 7th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:3,numberOfPublishedChapters:96,numberOfPublishedBooks:12,editor:{id:"50150",title:"Prof.",name:"Robert",middleName:null,surname:"Koprowski",fullName:"Robert Koprowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTYNQA4/Profile_Picture_1630478535317",biography:"Robert Koprowski, MD (1997), PhD (2003), Habilitation (2015), is an employee of the University of Silesia, Poland, Institute of Computer Science, Department of Biomedical Computer Systems. For 20 years, he has studied the analysis and processing of biomedical images, emphasizing the full automation of measurement for a large inter-individual variability of patients. Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:null,institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda",middleName:"R.",surname:"Gharieb",fullName:"Reda Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. Osma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDv7QAG/Profile_Picture_1626602531691",institutionString:null,institution:{name:"Universidad de Los Andes",institutionURL:null,country:{name:"Colombia"}}},{id:"69697",title:"Dr.",name:"Mani T.",middleName:null,surname:"Valarmathi",fullName:"Mani T. Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/253064",hash:"",query:{},params:{id:"253064"},fullPath:"/profiles/253064",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var m;(m=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(m)}()