Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
IntechOpen is proud to announce that 179 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\n
Throughout the years, the list has named a total of 252 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
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\r\n\tThe anisotropy, i.e. the direction-dependent physical properties, of materials is fascinating and elegant and has sparked the quest for anisotropic materials with useful properties. With such a curiosity, material scientists have ventured into the realm of nanometer length scale and have explored the anisotropic nanoscale building blocks such as metallic and nonmetallic particles as well as organic molecular aggregates. In addition to direction-dependent properties, exhibit dimension and morphology dependence of physical properties. Soft-matter and self-assembly anisotropic nanomaterials provides a unique forum for the communication of advanced Materials Science research.
\r\n
\r\n\tThis book is a particular focus on the interface between chemistry, physics, materials science, biology, and chemical engineering. Anisotropic nanoparticles are ideal building blocks for a variety of functional materials due to their unique and anisotropic optical, electronic, magnetic, and mechanical properties. Precise control over the orientation and spatial arrangement of these nanomaterials are often required to achieve coupling between nanoparticles and thereby translate the properties of individual nanoparticles to macroscopic material properties.
\r\n
\r\n\tThe book deals with anisotropic one-dimensional and two-dimensional nanoscale building blocks and their assembly into fascinating and qualitatively new functional structures embracing nano-bio composite are explained. Contributions from leading experts regarding important aspects like synthesis, assembly, properties, and applications of the above materials are compiled into a reference book that has recently become a major topic of interest, going from fundamental aspects to applications in Materials Science.
",isbn:"978-1-83969-024-2",printIsbn:"978-1-83969-023-5",pdfIsbn:"978-1-83969-025-9",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"d4d9fd9a734e964f221c1760288c625b",bookSignature:"Associate Prof. Kaushik Pal",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10550.jpg",keywords:"Novel Materials, Anisotropic NPS, Photochemical, Green Chemistry, Hydrogels, Scaffolds, Polymer, Nanoparticles, Gold Nanomaterial, Plasmon, Crystallography, Hybrid Composite",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 6th 2020",dateEndSecondStepPublish:"November 3rd 2020",dateEndThirdStepPublish:"January 2nd 2021",dateEndFourthStepPublish:"March 23rd 2021",dateEndFifthStepPublish:"May 22nd 2021",remainingDaysToSecondStep:"3 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Prof. Kaushik Pal has a doctorate (Ph.D.) from the University of Kalyani (India), afterward, he completed Postdocs from overseas Institutes (European and Asian Countries), he achieved the prestigious Honórís Causà Doctor of Science (D.Sc.) award from IKTBN, Sepang, Government of Malaysia, Ministry of Education.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"208451",title:"Associate Prof.",name:"Kaushik",middleName:null,surname:"Pal",slug:"kaushik-pal",fullName:"Kaushik Pal",profilePictureURL:"https://mts.intechopen.com/storage/users/208451/images/system/208451.jpg",biography:"Prof.(Dr.) Kaushik Pal is an Indian citizen and born in Kolkata. He received his Ph.D. from the University of Kalyani, West-Bengal (India). Most significant prestigious awards 'Marie-Curie Experienced Researcher (Postdoctoral Fellow)” offered by the European Commission in Greece and the 'Brain Korea National Research Foundation Visiting Scientist Fellowship” in South Korea achieved in his research career. Dr. Kaushik is the President of 'Paul Academic Press' as well as Director and Editor-in-Chief of 'International Journal Future Nanoscience and Smart Technology'. He was appointed 'Senior Postdoctoral Fellow” at Wuhan University, China and achieved a prestigious position 'Chief-Scientist & Faculty (CAS) Fellow” by the Chinese Academy of Science. Currently working as 'Research Professor (Group Leader & Independent Scientist)”, at the Bharath University (BIHER), Dept. of Research and Development (R & D), Chennai and former 'Visiting Professor” at IIUCN, School of Chemical Sciences, Mahatma Gandhi University, Kottayam, Kerala. His current spans are focusing e.g. Nanofabrication, functional Materials, condensed matter physics (Expt.), CNTs/graphene, liquid crystal, green nanotechnology, polymeric nanocomposite, switchable device, electron microscopy and spectroscopy, bio-inspired materials, drug delivery, tissue engineering, cell culture and integration, switchable device modulation, flexible and transparent electrodes, supercapacitor, optoelectronics, and biosensor applications. He supervises a significant number of Bachelors, Masters, Ph.D. and Postdoctoral scholars thesis. His outstanding research finding and novelty published around 70-articles in several international top-tier journals likewise: IOP Nanotechnology, Royal Chemical Society, Elsevier, Springer, IEEE publications got the highest citation in every year and performed editing 25-book’s chapters and 8-Review Articles. Throughout his academic experiences, skills and research background deserve him as an Editorial member of ‘World Journal of Nanoscience and Nanotechnology’, ‘Current Graphene Science’, ‘J. of Chemical Reviews’, ‘Pan Standford’, ‘En Press’, and ‘IntechOpen’ publisher edited several book’s chapters and since last year reviewed around 150 articles. Prof. Pal is an expert group leader as well as the associate member of various scientific societies, reorganizations and professional bodies. 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1. Introduction
The endoplasmic reticulum (ER) is an intracellular organelle which has many roles in calcium storage, protein synthesis, degradation and transport, and carbohydrate and lipid metabolism. The ER has different types of domains in its specialized units to ensure its multifunction. The main function of the ER is the synthesis of secreted, cytosolic and membrane proteins. These processes are controlled by ribosomes that are localized in the cytosolic site of the ER. Initially, ribosomes and mRNA are united to form a translational complex on the inner surface of the cytosolic site of the ER. The protein synthesis starts in the cytosol and continues in mRNA-ribosome-signal recognition particle (SRP) complexes that are located on the ER membrane. Proteins classified simultaneously with protein synthesis are guided to the membrane or Golgi apparatus for secretion. The terminal step of the protein synthesis is the cleavage of the signal peptide; after this phase, proteins are secreted from the ER membrane to the cytosol via ribosomes [1, 2]. Between synthesis and secretion, exocrine proteins require folding and modifications through folding enzymes and chaperons. N-linked glycosylation, disulfide bond formation and oligomerization of proteins are determinants of the secretory proteins which indicates if they are or not [3, 4]. Hereby, the ER is one of the most crucial and multifunctional organelles for cell survival.
Since alterations of the ER’s functions leads to unfolded and/or misfolded proteins in the cell, ER stress-mediated cell death underlie several serious diseases such as cardiovascular disease, neurodegeneration, ischemia and diabetes. Stress conditions are captured by transmembrane receptors which are localized on the ER and unfolded protein response (UPR) initiated by these receptors. Under chronic stress conditions, the adaptive response of the ER fails and the cells undergo mechanisms of cell death. In the ER stress conditions ATP, calcium and oxidizing environment are important factors for protein folding and disulfide bond formation. UPR is the major protective mechanism against deleterious and toxic effects of ER stress. Protein RNA-like ER kinase (PERK), activating transcription factor 6 (ATF6) and inositol-requiring enzyme 1 (IRE1α) are the tree main modulators of the ER stress response pathway [5, 6].
In a normal functioning cell PERK, ATF6 and IRE1 are in an inactive phase that is maintained by a specific ER chaperone, GRP78. When the ER stress is triggered, GRP78 is released to activate these three receptors as UPR. Unfolded protein stress has a crucial role in cell survival. However, the internal ribosomal entry site (IREs) bypasses the eukaryotic translation initiation factor 2α (eIF2α) controlling pathway. In the PERK-eIF2 pathway, activating transcription factor 4 (ATF4) is the key element which encodes cAMP response element-binding transcription factor (C/EBP) and promotes cell survival via modulation of redox reactions, stress response, protein synthesis and secretion. On the other hand ATF4 promotes C/EBP homologous protein (CHOP) which triggers apoptotic cell death. In the ER stress-mediated cell death, mitochondrial apoptotic pathway initiates the autophagy while other cell death mechanisms play a smaller role (Figure 1). It has been concluded that the ER stress-mediated cell death is associated with severe diseases including nervous system disorders, diabetes and cancer [7, 8, 9, 10].
Figure 1.
ER stress-mediated pathways via PERK, IRE1α and ATF6 which stimulates apoptosis and suppress anti-apoptotic proteins.
2. Unfolded protein response (UPR) signaling
Several endogenous and exogenous factors may interfere with the ER protein folding mechanism and generate stress conditions which have been an issue of importance, strongly focused on in recent years. Chronic stress conditions may result with pathological perturbations in different systems in the organisms. Once the ER stress is triggered, UPR mechanisms strive to restore the ER homeostasis. If the UPR system does not be sufficient, apoptosis inducing signals are increased in the cell; and ultimately, cell death signaling pathways are activated [9, 10]. Enduring unfolded protein response (UPR) and ER stress in the cell cause dysfunctions of some mechanistic pathways which may in turn stimulate cell death. In the center of the UPR and ER stress response mechanism, IRE1α is placed as a key regulatory molecule. It has been demonstrated that IRE1α can directly bind to unfolded proteins and start signaling. IRE1α and its signaling pathway determine the fate of the cell between survival and death based on the longevity of ER stress [12].
PERK, ATF6 and IRE1 are the three main initiating proteins of UPR signaling due to ER stress. ATF6 is synthetized as an inactive precursor, and it contains bZIP transcription factor in its cytoplasmic domain. Under stress conditions, ATF6f, which is the active component of ATF6s, is released in the Golgi apparatus after cleavage by S1P and S2P proteases. ATF6f plays an important role as a transcription factor on ER homeostasis genes which include ER chaperons and ER-associated protein degradation (ERAD) [12, 13, 14]. PERK which is a transmembrane protein kinase gets in dimerization and auto-phosphorylation under ER stress conditions and phosphorylates eIF2α. Phosphorylated eIF2α have effects on initiating the selective translation of ATF4, protein folding factors genes expression regulation and plays a role in oxidative stress and amino acid metabolisms [14, 15, 16].
IRE1 is the most conserved signaling pathway in the ER stress mechanism. IRE1α and IRE1β are the main two isoforms of the IRE1. These isoforms have kinase and endoribonuclease activities at their cytoplasmic domain. Under stress conditions IRE1α goes into dimerization and auto-phosphorylation with a conformational change in its cytoplasmic part and activates the endoribonuclease domain. Active IRE1α catalyzes the splicing of X box-binding protein 1 (XBP-1) in its 26-nucleotide intron that result with active transcription factor XBP-1s which regulates protein folding, targeting to ER, ERAD and biogenesis of Golgi etc. [9, 16, 17]. IRE1α is a transmembrane protein that includes an N-terminal sensor domain, single transmembrane domain and C-terminal cytosolic effector domain. The C-terminal domain of IRE1α has both protein kinase and endoribonuclease activities. IRE1α oligomerization is induced by unfolded protein stress in the cell and following this cytosolic domain auto-phosphorylation occurs. With UPR control, IRE1α has an important cytoprotective effect [18, 19].
UPR signaling in the cell play an important role for restoring cellular homeostasis; however, chronic ER stress may result with cell death [11]. Apoptosis is the main cell death mechanism in ER stress; however, other types of cell death, such as necrosis, necroptosis or deregulated autophagy may contribute to ER stress too. Also autophagy that is a mechanism which enables the elimination of unfolded or misfolded proteins under ER stress conditions is one of the most studied issues in recent studies [20]. mRNA of IRE1α is regulated through X-box binding protein as well IRE1α controls its own mRNA expression by self-cleavage [21].
3. Cell death under endoplasmic reticulum stress conditions
3.1 PERK Signaling pathway
Under ER stress conditions, after activation of PERK, eIF2α phosphorilated by PERK and this phosphorylated eIF2α trigger translational arrest as a pro-survival response. This prosurvival response is important checkpoint step before cell death. Deficiencies of PERK expression or phosphorylation problems of eIF2α make cells more sensitive to ER stress conditions. PERK associated signaling pathway regulates important mechanisms such as autophagy, ATF4-mediated transcription pathway, and protein folding and redox metabolism [22, 23].
In different cell types it has been demonstrated that cell death is induced via the PERK signaling pathway under chronic stress conditions. The key molecule for initiating cell death is C/EBP homologous protein (CHOP), also named as growth arrest and DNA-damage-inducible 153 (GADD153). The expression of CHOPs is increased by ATF4. PERK activation induces eIF2α phosphorylation which in turn increases the selective transcription of ATF4 that increases CHOP level. Pro-apoptotic proteins such as GADD34, ERO1α (ER oxidase 1 alpha) and BH3-only proteins (BIM, PUMA and NOXA) expressions is increased by CHOP. PERK signaling pathway initiates mitochondrial apoptotic pathway. GADD34 and Ero1α increase cellular ROS production and calcium. Calcium release is regulated by IPR3 and the increase of cytosolic calcium triggers PTP related apoptosis in the cell. On the other hand, BIM, PUMA and NOXA induction cause cytochrome-c release from mitochondria via BAX and BAK activation [23, 24, 25, 26].
CHOP, main member of Bcl-2 family, is one of the ER stress associated regulator molecule which downregulates Bcl-2. Another member of Bcl-2 family is BH3-only proteins which are pro-apoptotic proteins and upregulated by CHOP. Moreover, CHOP induces BIM, PUMA and NOXA expression levels [27, 28, 29]. CHOP has another important role in the ER as a modulator of oxidative status in the organelle. Increase in the level of CHOP and ERO1α in the cell causes a decrease of the glutathione (GSH) level which leads to ROS formation. ERO1α induces reduction of hydrogen peroxide (H2O2) in the ER lumen via reconstitution of the active state of proteins through re-oxidation of protein disulfide isomerases (PDIs). Increased ROS conditions in the cell via ER stress make cells sensitive to cell death. Moreover, CHOP increase in the cell triggers the activation of inositol- 1,4,5-trisphosphate receptor (IP3R) through ERO1α and calcium release from ER to cytosol which contribute to apoptosis. Thus, PERK plays a key role in inducing cell death via ROS production and calcium release. It has been demonstrated that, apoptosis can be induced without activation of the PERK signaling pathway; because, there are several triggers of apoptosis in different conditions. It has been reported in different studies that, PERK signaling deficiencies may play a role in different types of diseases such as Parkinson disease, diabetes, atherosclerosis, ALS, cardiac dysfunction and liver damage induced by alcohol. Further and detailed studies are needed to clarify the full mechanism of the ER stress dependent disease occurrence [24, 26, 30, 31, 32, 33, 34, 35].
3.2 IRE1 signaling pathway
IRE1α/XBP-1 pathway plays a balancing role in survival-cell death homeostasis and also takes part in the gene regulation of the protein folding elements. With ER stress ASK1/JNK or NF-κB signaling pathways get activated by IRE1α-TRAF2 complex and afterwards cell death processes as apoptosis or autophagy starts in the cell [36, 37, 38, 39]. IRE1α-dependent decay (RIDD) is IRE1α’s endoribonuclease activity on several mRNAs. RIDD mechanism has a defensive role for degradation of proteins which have a misfolding potential and also RIDD takes part in pro-apoptotic mechanisms too. RIDD mechanism shows its pro-apoptotic effects through ER chaperons BiP/Grp78 mRNA degradation, effecting JNK signaling pathway or XBP-1 mRNA splicing. Thus, RIDD is placed in the center of the ER stress-mediated cell death and cell survival. It has been recently demonstrated that IRE1α show its endoribonuclease activity on different microRNAs (miRNA), caspase-2 and TXNIP which have role in cell death processes [40, 41, 42].
Dimerization, auto-phosphorylation and endoribonuclease domain engaging of IRE1α occurs under stress conditions. Active IRE1α activates transcription factor XBP1 which is named as XBP1s. XBP1 has a regulative role in protein folding [11, 12].
IRE1 contains a serine-threonine kinase and an endoribonuclease domain. With its endonuclease activity, IRE1 splices the 26-nucleotide intron from ATF6-induced XBP1 mRNA which generates the frameshift splice variant as sXBP1 and this variant encodes stable and active transcription factor. zXBP1 targets are ER chaperons and P58IPK which belongs to the HSP40 family. P58IPK plays a role in the negative feedback mechanism of PERK through binding and inhibiting PERK. P58IPK activity has the power to finish the UPR if the UPR could evade the ER stress, if not, the P58IPK activity gets suppressed and the apoptotic mechanism starts in the cell. Generally, IRE1 release has a strong pro-survival effect during stress conditions via UPR; however, long term active IRE induces kinase activities through the c-Jun N-terminal kinase (JNK) pathway and recruitment of TNF-receptor-associated factor 2 molecule (TRAF2). The IRE1-TRAF2 complex causes recruitment of apoptosis-signal-regulating kinase (ASK1) which in turn activates MAPKs JNK and p38. JNK activation associated with Bcl2 family members’ regulation in different stress conditions. During ER stress JNK phosphorylates the Bcl2 and inhibits its anti-apoptotic function, however while JNK phosphorylates Bcl-2 homology domain 3 (BH3) and Bim, their pro-apoptotic features gets activated. As an important initiator of apoptosis, IRE1 is the last resorts for the ER stress regulated UPR after PERK and ATF6. IRE1 is the top step for modulation of pro-surviving or cell-death in the cell via ASK1 and JNK [5, 43].
3.3 ATF6 signaling pathway
GRP78 is one of the main regulatory proteins for the ER stress pathways, while ATF6 is separated from GRP78, ATF6 translocate to Golgi apparatus to get spliced from its active sites. Active ATF6 in turn enhance the gene expressions of stress response elements in the nucleus. GRP78, GRP94, protein disulfide isomerase, CHOP and XBP1 are some of the targets of ATF6. However, ATF6-mediated cell death mechanism has not been clarified yet and further studies are needed to explain detailed intracellular protein interactions [5].
ATF6 proteins ATF6α and ATF6β are regulatory proteins which belong to the bZIP transcription factor family. ATF6 binds to the ER membrane via its hydrophobic sequence. The ATF6 activation process during ER stress is different from the PERK and IRE1 activation processes. After GRP78 releases from ATF6, it translocates to the Golgi apparatus from the ER and the site1 and site2 proteases splice the ATF6s juxtamembrane site. After that, ATF6 translocates to the nucleus as a transcription factor for gene expression regulation. ATF6 stimulates homodimerization or heterodimerization of the ER stress related genes such as XBP1, IRE1, PDI, α-mannosidase-like protein 1 (EDEM1) as a result of misfolded protein degradation. In the literature it has been not clarified yet whether AFF6 regulates calcineurin 1 (RCAN1) which has calcium dependent pro-apoptotic functions [44, 45].
RCAN1’s important substrates are pro-apoptotic Bcl-2 family members and Bcl-2 antagonist of cell death (BAD). Calcineurin dephosphorylates BAD and in turn BAD dimerizes with the anti-apoptotic protein Bcl-Xl and inhibits its function. Cyclic AMP responsive element binding proteins such as CREB3l1 (oasis), CREB3l2, CREB3 (luman), CREB4, CREB-H are the other known ER stress transcription factors, however their mechanisms are not yet well detailed [46].
4. Endoplasmic reticulum stress mediator proteins
4.1 CHOP
C/EBP homologous protein (CHOP or DDIT3 or GADD153) is a bZIP transcription factor that regulates IRE1, PERK and ATF6 under ER stress conditions. ATF4, ATF6 and XBP1, important elements of UPR signaling, can bind to the CHOP gene promoter sequences to regulate its transcription [43, 44].
It has been demonstrated that with knock-out PERK and ATF4, CHOP induction was disrupted under ER stress, and also ATF2 and IRE1-ASK-p38 signaling pathways upregulated the activity of CHOP. CHOP induces apoptosis via inhibition of Bcl-2. CHOP and ERo1α together enhance the ER stress dependent protein loading in the cell which also enhances the apoptosis mechanism. Moreover, CHOP interacts with pro-apoptotic Bim to activate it and also inhibits Bcl-2, thus apoptosis occurs under ER stress condition. However, CHOP is not the main protein for ER stress-mediated cell death, it was demonstrated that ER stress-mediated apoptosis can occur without CHOP expression in PERK−/− and EIF2α (Ser51Ala) knock-in cells [27, 30, 46, 47, 48].
4.2 GADD34
GADD34 expression in the cell is associated with apoptotic cell death. As a protein phosphatase 1 (PP1)-interacting protein GADD34, dephosphorylates eIF2α which results with protein translation inhibition. The detailed mechanistic pathway which lays under GADD34-induced apoptosis has not been clarified yet. GADD34 expression may increase the pro-apoptotic proteins. It has been demonstrated in studies that blocking the GADD34 pathway in the cell can cause inhibition of R-stress-mediated apoptosis [5, 24].
4.3 BCL-2 proteins, calcium and caspases
Bcl2 family members are regulatory proteins of apoptosis which especially modulate the mitochondrial apoptotic pathway. In resting cells, on the mitochondria and ER membrane, the Bcl2 protein interacts with the pro-apoptotic proteins Bax and Bak and inhibits their functions. Moreover, dynein interacts with the pro-apoptotic protein Bim and inhibits its function. ER stress affects mitochondria and follows the same mechanism of the mitochondrial apoptotic pathway. During prolonged ER stress after activation of CHOP and JNK, Bim phosphorylates and releases from dynein. At the same time Bax and Bak unbound from Bcl2 and the execution phase of apoptosis initiates. During ER stress-mediated apoptosis cytochrome-c releases from mitochondria and apoptosome formation occurs [49, 50].
Detailed molecular information about the ER stress modulated apoptosis mechanism needs further investigations to clarify the different genes and proteins which play role in this mechanism, thus, new generation therapy models generation can be designed for ER stress-mediated apoptosis related diseases. It has been well known that CHOP and JNK play a central role in the activation of ER stress-mediated apoptosis. Bcl2 gene expression is inhibited by CHOP, which leads to the pro-apoptotic Bcl2 family members’ activation. The functions of the Bcl2 family members also are regulated by JNK through phosphorylation. The IRE1-ASK1 pathway activates the JNK and JNK first phosphorylates the Bcl2 which is localized on the ER membrane. The BH3-only proteins on ER membrane gets activated and thus intracellular calcium flux become uncontrollable [51]. On the other hand JNK targets to BH3-only proteins are known as the “orchestrators of apoptosis.” It has been reported that, the p53-upregulated modulator of apoptosis (PUMA), Noxa and Bim play roles in ER stress-mediated cell death. The Bim protein have three isoforms as short (BimS), and long (BimL and BimEL). Bim tethers dynein in the cell via its long isoforms BimL and BimEL under normal conditions, however under ER stress JNK phosphorylates Bim and stimulates its release from dynein leading to apoptosis initiation. Moreover, IRE1 induction directly activates Bax and Bak during ER stress-mediated apoptosis [52, 53].
All these activation processes are figured out with caspase activation. However, the caspase activation phase has not been defined clearly yet. It has been reported in different studies that caspases 12, 3, 6, 7, 8 and 9 do not play role in ER stress-mediated cell death. It has been speculated that caspase-4 maintains caspase-12’s function in mammalians; however, it is not clarified yet [5]. It has been recently reported that in mammalians caspase-4, which is activated by ER stress, induces Bap31 and Bap20 proteins which play a role in the activation of the mitochondrial apoptotic pathway [54].
The Bcl2 family members (BCL-2 and BCL-XL) and transmembrane BAX inhibitor motif (TMBIM) (BI-1/TMBIM6 and GRINA/TMBIM3) interact and regulate IP3R activity. While cytosolic calcium level increases, BAX/BAX oligomerization (MOMP) occurs in the mitochondria and promotes the apoptotic pathway. ER foldase enzymes such as BiP and Protein disulfide isomerases (PDIs) translocate to the cytosol through BAX/BAX pores and in turn affect the plasma membrane pro-apoptotic protein Par-4 which results with apoptosis [11].
Caspase 12 and its polymorphic variant caspase 4 play an important promoting step role for ER stress-induced apoptosis. Caspase 12 activates pro-caspase-9, which belongs to the mitochondrial apoptotic pathway, without cytochrome-c release. Cytoplasmic calcium-activated protease calpain can activate caspase-12 by its cleavage and IRE1α also activates caspase-12 directly. Caspase-12 is located in the cell as a high molecular weight complex that includes apoptosis-linked gene-2 protein and p97 (ERAD mediator). P97 plays a crucial role for this pro-apoptotic stabilization of caspase-12. Once caspase-12 is activated, it activates the downstream caspases such as caspase-9 and caspase-7 which ultimately activates caspase-3; and hereby, apoptosis execution phase starts [55, 56].
5. Endoplasmic reticulum stress and autophagy
Endoplasmic reticulum (ER) stress is also closely related to the autophagy mechanism in the cell to maintain cellular homeostasis. Generation of autophagosomes occurs during the ER stress-induced autophagy process which encapsulates protein and damaged protein aggregates. As in the apoptosis process, PERK, IRE1 and ATF6 signaling pathways have role in initiating autophagy during ER stress, in addition Atg40/FAM134B takes part too [57]. Autophagy has crucial roles in maintaining optimum cellular activity, elimination of unfolded and misfolded proteins, elimination of defective organelles, protection against pathogens, balancing cellular energy storage, tumor suppression, biosynthesis of new molecules and cell death mechanisms [58].
ER stress UPR activating molecules PERK and IRE1α also activates the autophagy process by activating autophagy-related genes (Atg). Autophagosome formations generated by Atg proteins interact with the LC3II-PE complex. IRE1α-JNK pathway activates Bcl2 by phosphorylation and subsequently stimulates Beclin1, ATG5 and ATG7. Thus, the Bcl2-Beclin complex dissociates and protein kinase-C activation phosphorylates LC3 and other autophagosome proteins. Another regulative process for autophagy is the mTOR pathway through AMP-dependent protein kinase (AMPK) that in turn induces the autophagy activating genes [59].
Autophagy process initiates EIF2AK3 activation which results with mTOR inhibition. Active EIF2AK3 upregulates ATF4 and subsequently SESN2, DDIT3 and DDIT4 are upregulated. These three active proteins inhibit the mTOR activity. AMPK pathway is activated via several types of metabolic stress, especially cellular energy state disorders and intracellular Ca level imbalance. AMPK pathway induces ULK1 and at the same time AMPK inhibits mTOR which has an inhibitory role on ULK1. MAPK8 and DAPK1 induction processes include formation of PtdIns3K and phosphorylation of the Bcl2-Beclin1 complex (Figure 2). All UPR sensory proteins have the potential to induce Beclin1 and Atg proteins for autophagy initiation. All UPR initiating molecules (IRE1, PERK, ATF4 and ATF6) activate the autophagy related protein Atg5-Atg12-Atg16 through CHOP activation. In mammalians, the ER stress-mediated autophagy mechanism is well defined and as an interesting point, under normal conditions the autophagy process plays a role for maintaining cellular homeostasis, however under stress conditions cellular mechanisms may inhibit the autophagy process with unknown regulative pathways. To understand the whole mechanism which takes part in ER stress-mediated autophagy, further studies are needed [57, 58].
Figure 2.
ER stress-mediated autophagy induction via PERK, IRE1α, ATF6 and IPR3. PERK induce autophagy through eIF2α with Atg12 and Atg5 interaction, however ATF6 dependent pathway have not been clarified yet. Autophagy initiate by another pathway as Ca2+ influx through IPR3 transmembrane protein which inhibits mTOR. IRE1α pathway induce beclin-1 during autophagy induction processes.
6. Discussion
ER is pivotal organelle for cellular protein, lipid synthesis and Ca storage. During cell cycle process, ER is very active due to these physiological processes and addition due to its highly powerful stress response mechanism as UPR [60]. ER stress induces several different complex molecular pathways in the cell which may conclude physiological or pathological conditions. UPR signaling mechanism is one of the important cell protective homeostasis provider factor. UPR signaling rapidly initiate with IRE1α signaling after stress stimulus, secondly ATF6 pathway become a part of activity because of its slow kinetics and finally PERK mechanism step in. UPR mechanism have balancing role between cytoprotective and proapoptotic systems. Molecular features of ER stress and UPR mechanism is crucial for delivering targeted drugs for diseases which are associated with these signaling pathways [35]. There are several ongoing studies about ER stress mechanism to clarify signaling pathways, however many unknown mechanisms about pathway remain. As discussed in this chapter different signaling mechanisms play role in ER stress-mediated cell death however; pro-apoptotic mechanism components different from PERK, CHOP, Bcl-2 family members are not identified fully yet [11, 61, 62].
The ER stress mechanism plays an important role in several different diseases such as neurodegenerative diseases, ophthalmology disorders, inflammation diseases, viral infections, cancer, metabolic diseases, and atherosclerosis. It is important to understand the detailed mechanism which plays a role in ER stress-mediated diseases to provide more effective therapeutics. Alzheimer disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), prion diseases, retinitis pigmentosa, glaucoma, macular degeneration, as inflammatory bowel diseases, multiple sclerosis, rheumatoid arthritis, heart failure, cardiac hypertrophy, myocardial infraction and type I autoimmune diabetes are ER stress dependent diseases. In AD, mutant presenilin 1 interferes with the UPR mechanism and causes disruption in IRE1α, PERK and ATF6 signaling pathway and increase CHOP activity as a consequence of amyloid β-precursor protein (APP) accumulation in the neuron cells. Parkin is an important E3 ubiquitin ligase and it is also associated with ER stress-mediated cell death. The Mutant parkin gene causes accumulation of Lewy bodies in neurons that associated with defective UPR mechanism which result as Parkinson disease. ER stress mechanism depression is a very important strategy for cancer therapy. ER stress mechanism helps the tumor cells to adapt to its microenvironment. UPR plays a protective role for tumor cells and thus inhibition of ER stress could provide reducing in tumorigenesis. IRE1α/XBP1 has a crucial role in tumor angiogenesis. Considering all this together, ER stress and UPR pathways are important targets for chemotherapeutics [8, 44, 63].
7. Conclusion
ER stress-mediated cell death has a crucial role in several diseases pathophysiology. In recent years several studies have been done on the mechanism of ER stress, pathway details, its role in diseases and therapy. However, all these information are just the tips of the iceberg. To put forward effective therapeutic strategies, mechanistic pathway details should be defined well with further studies. ER stress seems to be a central mechanism to cell survival and cell death. Pathway associations with the other intracellular mechanisms are also needed to be clarified in order to understand the complexity.
Acknowledgments
The authors would like thank to Prof. Dr. Gül Özhan from Istanbul University, Faculty of Pharmacy, Department of Toxicology.
For valuable critiques and contributions, Sinem Beyaz for technical and graphical support and MSc. Ayşenur Günaydın and Pharm. Enes Bişirir for linguistic support.
This research received no specific grant from any funding agency in the public, commercial, private, or not-for-profit sectors.
Conflict of interest
The authors declare that there is no conflict of interest.
\n',keywords:"endoplasmic reticulum stress, unfolded protein response signaling, autophagy, endoplasmic reticulum stress mediator proteins, endoplasmic reticulum stress-mediated diseases",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/66585.pdf",chapterXML:"https://mts.intechopen.com/source/xml/66585.xml",downloadPdfUrl:"/chapter/pdf-download/66585",previewPdfUrl:"/chapter/pdf-preview/66585",totalDownloads:733,totalViews:0,totalCrossrefCites:1,totalDimensionsCites:4,hasAltmetrics:0,dateSubmitted:"December 4th 2018",dateReviewed:"February 25th 2019",datePrePublished:"April 6th 2019",datePublished:null,dateFinished:null,readingETA:"0",abstract:"In normal functioning cells, endoplasmic reticulum (ER) is the major control site for folding, modification, and trafficking of secretory and cell-surface proteins. ER also plays a crucial role in the maintenance of cellular calcium homeostasis. Since ER is a key organelle in the cell; ER stress-mediated cell death can be associated with numerous diseases including Alzheimer disease, Parkinson disease, neuronal damage-induced ischemia, prion disease, cystic fibrosis, and diabetes mellitus. ER stress is a consequence of complex mechanisms which several cellular pathways interact with each other simultaneously. The two most important initiating points for ER stress-mediated cell death are; transcription factor CHOP/GADD153 and ER membrane protein kinase (IRE1). ER stress triggers proteolytic cleavage of caspase-12 and caspase-4, both of which are localized at the cytoplasmic side of the ER membrane to initiate the mechanism of cell death. Thus, ER stress and mitochondrial apoptosis are linked via caspase-12, which is seen in several degenerative diseases.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/66585",risUrl:"/chapter/ris/66585",book:{slug:"programmed-cell-death"},signatures:"Mehtap Kara and Ezgi Oztas",authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Unfolded protein response (UPR) signaling",level:"1"},{id:"sec_3",title:"3. Cell death under endoplasmic reticulum stress conditions",level:"1"},{id:"sec_3_2",title:"3.1 PERK Signaling pathway",level:"2"},{id:"sec_4_2",title:"3.2 IRE1 signaling pathway",level:"2"},{id:"sec_5_2",title:"3.3 ATF6 signaling pathway",level:"2"},{id:"sec_7",title:"4. Endoplasmic reticulum stress mediator proteins",level:"1"},{id:"sec_7_2",title:"4.1 CHOP",level:"2"},{id:"sec_8_2",title:"4.2 GADD34",level:"2"},{id:"sec_9_2",title:"4.3 BCL-2 proteins, calcium and caspases",level:"2"},{id:"sec_11",title:"5. Endoplasmic reticulum stress and autophagy",level:"1"},{id:"sec_12",title:"6. Discussion",level:"1"},{id:"sec_13",title:"7. Conclusion",level:"1"},{id:"sec_14",title:"Acknowledgments",level:"1"},{id:"sec_17",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Schwarz DS, Blower MD. The endoplasmic reticulum: Structure, function andresponse to cellular signaling. Cellular and Molecular Life Sciences. 2016;73(1):79-94'},{id:"B2",body:'Jan CH, Williams CC, Weissman JS. Principles of ER cotranslational translocation revealed by proximity-specific ribosome profiling. Science. 2014;346(6210):1257521'},{id:"B3",body:'Braakman I, Hebert DN. Protein folding in the endoplasmic reticulum. Cold Spring Harbor Perspectives in Biology. 2013;5(5):a013201'},{id:"B4",body:'van der Zand A, Gent J, Braakman I,Tabak HF. Biochemically distinct vesicles from the endoplasmic reticulum fuse to form peroxisomes. 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Endoplasmic reticulum stress in disease pathogenesis. Annual Review of Pathology. 2008;3:399-425'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Mehtap Kara",address:"mehtap.kara@istanbul.edu.tr",affiliation:'
Department of Pharmaceutical Toxicology, Faculty of Pharmacy, Istanbul University, Istanbul, Turkey
Department of Pharmaceutical Toxicology, Faculty of Pharmacy, Istanbul University, Istanbul, Turkey
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Wheatley",authors:[{id:"59585",title:"Dr.",name:"Sally",middleName:null,surname:"Wheatley",fullName:"Sally Wheatley",slug:"sally-wheatley"}]},{id:"23926",title:"Anticancer Properties of Curcumin",slug:"anticancer-properties-of-curcumin",signatures:"Varisa Pongrakhananon and Yon Rojanasakul",authors:[{id:"52705",title:"Prof.",name:"Yon",middleName:null,surname:"Rojanasakul",fullName:"Yon Rojanasakul",slug:"yon-rojanasakul"},{id:"60007",title:"Prof.",name:"Varisa",middleName:null,surname:"Pongrakhananon",fullName:"Varisa Pongrakhananon",slug:"varisa-pongrakhananon"}]},{id:"23927",title:"Salograviolide A: A Plant-Derived Sesquiterpene Lactone with Promising Anti-Inflammatory and Anticancer Effects",slug:"salograviolide-a-a-plant-derived-sesquiterpene-lactone-with-promising-anti-inflammatory-and-anticanc",signatures:"Isabelle Fakhoury and Hala Gali-Muhtasib",authors:[{id:"57145",title:"Prof.",name:"Hala",middleName:null,surname:"Gali-Muhtasib",fullName:"Hala Gali-Muhtasib",slug:"hala-gali-muhtasib"}]},{id:"23928",title:"The Role of Inflammation in Cancer",slug:"the-role-of-inflammation-in-cancer",signatures:"O’Leary D.P., Neary P.M. and Redmond H.P.",authors:[{id:"53469",title:"Dr.",name:"Peter",middleName:null,surname:"Neary",fullName:"Peter Neary",slug:"peter-neary"},{id:"54816",title:"Prof.",name:"Henry",middleName:null,surname:"Redmond",fullName:"Henry Redmond",slug:"henry-redmond"},{id:"56447",title:"Mr.",name:"Donal",middleName:"Peter",surname:"OLeary",fullName:"Donal OLeary",slug:"donal-oleary"}]},{id:"23929",title:"CD277 an Immune Regulator of T Cell Function and Tumor Cell Recognition",slug:"cd277-an-immune-regulator-of-t-cell-function-and-tumor-cell-recognition",signatures:"Jose Francisco Zambrano-Zaragoza, Nassima Messal, Sonia Pastor, Emmanuel Scotet, Marc Bonneville, Danièle Saverino, Marcello Bagnasco, Crystelle Harly, Yves Guillaume, Jacques Nunes, Pierre Pontarotti, Marc Lopez and Daniel Olive",authors:[{id:"60372",title:"Prof.",name:"Daniel",middleName:null,surname:"Olive",fullName:"Daniel Olive",slug:"daniel-olive"},{id:"60373",title:"Dr.",name:"Jose Francisco",middleName:null,surname:"Zambrano-Zaragoza",fullName:"Jose Francisco Zambrano-Zaragoza",slug:"jose-francisco-zambrano-zaragoza"},{id:"68501",title:"Dr.",name:"Emmanuel",middleName:null,surname:"Scotet",fullName:"Emmanuel Scotet",slug:"emmanuel-scotet"},{id:"68504",title:"Dr.",name:"Marc",middleName:null,surname:"Bonneville",fullName:"Marc Bonneville",slug:"marc-bonneville"},{id:"68507",title:"Dr.",name:"Daniele",middleName:null,surname:"Saverino",fullName:"Daniele Saverino",slug:"daniele-saverino"},{id:"68508",title:"Prof.",name:"Marcello",middleName:null,surname:"Bagnasco",fullName:"Marcello Bagnasco",slug:"marcello-bagnasco"},{id:"68511",title:"Dr.",name:"Yves",middleName:null,surname:"Guillaume",fullName:"Yves Guillaume",slug:"yves-guillaume"},{id:"69390",title:"Dr.",name:"Jaques",middleName:null,surname:"Nunes",fullName:"Jaques Nunes",slug:"jaques-nunes"},{id:"69392",title:"Dr.",name:"Pierre",middleName:null,surname:"Pontarotti",fullName:"Pierre Pontarotti",slug:"pierre-pontarotti"},{id:"69394",title:"Dr.",name:"Marc",middleName:null,surname:"Lopez",fullName:"Marc Lopez",slug:"marc-lopez"},{id:"69398",title:"Dr.",name:"Cristelle",middleName:null,surname:"Harly",fullName:"Cristelle Harly",slug:"cristelle-harly"},{id:"69399",title:"Dr.",name:"Nassima",middleName:null,surname:"Messal",fullName:"Nassima Messal",slug:"nassima-messal"}]},{id:"23930",title:"Transcription Regulation and Epigenetic Control of Expression of Natural Killer Cell Receptors and Their Ligands",slug:"transcription-regulation-and-epigenetic-control-of-expression-of-natural-killer-cell-receptors-and-t",signatures:"Zhixia Zhou, Cai Zhang, Jian Zhang and Zhigang Tian",authors:[{id:"49603",title:"Prof.",name:"Cai",middleName:null,surname:"Zhang",fullName:"Cai Zhang",slug:"cai-zhang"},{id:"59821",title:"Mrs.",name:"Zhixia",middleName:null,surname:"Zhou",fullName:"Zhixia Zhou",slug:"zhixia-zhou"}]},{id:"23931",title:"Non-Invasive Devices for Early Detection of Breast Tissue Oncological Abnormalities Using Microwave Radio Thermometry",slug:"non-invasive-devices-for-early-detection-of-breast-tissue-oncological-abnormalities-using-microwave-",signatures:"Tahir H. Shah, Elias Siores and Chronis Daskalakis",authors:[{id:"52670",title:"Prof.",name:"Elias",middleName:null,surname:"Siores",fullName:"Elias Siores",slug:"elias-siores"},{id:"53035",title:"Dr.",name:"Tahir",middleName:null,surname:"Shah",fullName:"Tahir Shah",slug:"tahir-shah"},{id:"53198",title:"MSc",name:"Chronis",middleName:null,surname:"Daskalakis",fullName:"Chronis Daskalakis",slug:"chronis-daskalakis"}]},{id:"23932",title:"Immunophenotyping of the Blast Cells in Correlations with the Molecular Genetics Analyses for Diagnostic and Clinical Stratification of Patients with Acute Myeloid Leukemia: Single Center Experience",slug:"immunophenotyping-of-the-blast-cells-in-correlations-with-the-molecular-genetics-analyses-for-diagno",signatures:"Irina Panovska-Stavridis",authors:[{id:"51581",title:"Dr.",name:"Irina",middleName:null,surname:"Panovska-Stavridis",fullName:"Irina Panovska-Stavridis",slug:"irina-panovska-stavridis"}]},{id:"23933",title:"Prospective Applications of Microwaves in Medicine",slug:"prospective-applications-of-microwaves-in-medicine",signatures:"Jaroslav Vorlíček, Barbora Vrbova and Jan Vrba",authors:[{id:"49876",title:"Prof.",name:"Jan",middleName:null,surname:"Vrba",fullName:"Jan Vrba",slug:"jan-vrba"}]},{id:"23934",title:"Photon Total Body Irradiation for Leukemia Transplantation Therapy: Rationale and Technique Options",slug:"photon-total-body-irradiation-for-leukemia-transplantation-therapy-rationale-and-technique-options",signatures:"Brent Herron, Alex Herron, Kathryn Howell, Daniel Chin and Luann Roads",authors:[{id:"53244",title:"Mr.",name:"Alex",middleName:null,surname:"Herron",fullName:"Alex Herron",slug:"alex-herron"},{id:"53247",title:"Ms.",name:"Luann",middleName:null,surname:"Roads",fullName:"Luann Roads",slug:"luann-roads"},{id:"94906",title:"MSc.",name:"Brent",middleName:null,surname:"Herron",fullName:"Brent Herron",slug:"brent-herron"},{id:"95310",title:"Dr.",name:"Kathryn",middleName:null,surname:"Howell",fullName:"Kathryn Howell",slug:"kathryn-howell"},{id:"95312",title:"Dr.",name:"Daniel",middleName:null,surname:"Chin",fullName:"Daniel Chin",slug:"daniel-chin"}]},{id:"23935",title:"Radio-Photoluminescence Glass Dosimeter (RPLGD)",slug:"radio-photoluminescence-glass-dosimeter-rplgd-",signatures:"David Y.C. Huang and Shih-Ming Hsu",authors:[{id:"53301",title:"Dr.",name:"David",middleName:null,surname:"Huang",fullName:"David Huang",slug:"david-huang"}]}]}]},onlineFirst:{chapter:{type:"chapter",id:"73624",title:"BIM Approach for Smart Infrastructure Design and Maintenance Operations",doi:"10.5772/intechopen.94242",slug:"bim-approach-for-smart-infrastructure-design-and-maintenance-operations",body:'\n
\n
1. Introduction
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Smart city is to lead the transformation of urban development with innovation, comprehensively promote the new generation of information and communication technology and the new urbanization development strategy, deeply integrate and improve the modernization level of urban governance capability [1].
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A self-respecting smart city cannot ignore serious and far-sighted planning that bases urban landscape design on Geographic Information Systems (GIS) and integrated modeling, which Building Information Modeling (BIM) is able to ensure; this is because only having a clear vision, implemented with a precise planning, of what is going to be built is it possible to avoid the destructive effects that a construction practice without adequate tools can cause. The use of GIS and BIM together therefore allows you to plan, design, build and manage infrastructure resources more efficiently and save time and money.
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BIM is widely recognized as a fundamental methodology for relaunching the global economy: this is why in many countries digitalization processes have been started in the AEC sector [2].
\n
BIM starts at the planning and conceptual design stage and continues throughout the lifecycle of the asset. It is important that intelligent information is not lost as the project progresses through the various stages of a BIM Infrastructure Project.
\n
The entire process of developing, executing and managing infrastructure projects can be transformed—initial surveying and data collection, environmental review, public participation, design and documentation, bidding, construction, and operations and maintenance [3, 4]. The model-centric approach enables planners, engineers, and designers to explore and validate innovative design ideas and what-if scenarios with project investors.
\n
To model a smart infrastructure, it is necessary to find a set of variables and parameters essential for the analysis and prediction of the performance of built objects [5].
\n
Data modeling can be performed by procedural, also known as parametric, modeling that provides object-oriented n-dimensional information or generative model information containing objects created through algorithmic processes [6].
\n
Parametric and procedural 3D geometrical models can be represented by graphs in order to define relationships and dependencies between geometric entities and allow its reuse in similar design scenarios or to adapt it to different scenarios [7, 8].
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The models created for BIM are not just 3D geometry; they are data-rich objects which are: intelligent - parametric engines help define relationships between objects and keep changes consistent and coordinated; knowledge-based - can be constrained by things like AASHTO codes, design criteria, and company standards; scalable - able to aggregate huge amounts of data from multiple sources; visual - enable better analysis, simulation and communication [9].
\n
In the last few years, researchers have been focusing their attention on assessing the benefits of using digital tools and processes to support effectively the entire life of transportation facilities and road infrastructures, from strategic planning, design and construction [10, 11, 12, 13, 14, 15, 16, 17] to performance management and maintenance [18, 19, 20, 21].
\n
Marzouk and Othman [22] proposes an inclusive framework for integrating Building Information Modeling (BIM) and Geographical Information System (GIS) to plan and forecast the utility infrastructure needs for expanding and emerging cities to highlight the concept of “smartness” during the planning stage.
\n
As highlighted by Sankaran et al. [23], BIM is an efficient method for collecting and updating as-built data for creating a digital archive of information to facilitate management and future project development.
\n
For example, Tang et al. [24] created a platform for the integration of Building Information Modeling (BIM) based road design and pavement structural analysis, allowing to establish a conversion between the three dimensional (3D) model and the finite element method software ABAQUS, providing quality data and powerful technical support and minimizing the uncertainty factors in the road design and maintenance processes.
\n
Also, the design process was supported through the implementation of an empirical model for the analysis of permanent deformation of the asphalt pavement, which allows selecting the pavement that best suits the desired service life [25].
\n
There is a need for such an approach to assist decision makers to ensure enterprise’s objectives and targets are maximized with given budget and planned shutdown time [26, 27].
\n
Interoperable BIM model has been adapted to perform complex multi-physical studies and simulations in several technical fields (including noise exposure, wind comfort, artificial and natural lighting, energy consumption, environmental impacts and global comfort) [28].
\n
However, the existing BIM-based decision-support methods have primarily focused on building design and construction. Therefore, they are limited in their ability to provide an appropriate methodology for master planning of large-scale development projects [29].
\n
It is of great significance to promote the application of BIM technology in the life cycle management of projects in the context of smart cities, ensure the consistency and interoperability of BIM deliverables at all engineering stages, and realize the comprehensive management of the construction industry in smart cities [30, 31].
\n
\n
\n
2. Goals definition
\n
Analysis procedure presented here aims to offer an innovative and practical methodology for integration of road design and pavement analysis, for a better management and optimization of road pavement maintenance.
\n
The work phases are shown in Figure 1 and basically are carried out as follows:
Building the existing ground surfaces; surfaces are used to derive alignments and profiles, and for corridor grading;
Designing horizontal-vertical alignment; alignment are used by corridor as its centerline while profiles use existing ground profiles and design finished grade profile (vertical alignments);
Create the required assemblies; subassemblies are used to build the required assemblies;
Create the 3D corridor;
Information management for a decision support system for the management of maintenance processes.
\n\n
Figure 1.
Methodological approach.
\n
\n
\n
3. Road modeling
\n
\n
3.1 Digital terrain model
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Digital Terrain Modeling (DTM) is a concept that underlies all calculations in Civil Engineering involving elevation or slope - profiles, cross sections, grading and volume calculations.
\n
The process of DTM involves the creation of a data structure that the software can instantly “touch” to retrieve elevations or slopes, representing either existing or proposed conditions.
\n
DTM mathematically completes all interpolation possible between the data supplied, and stores the result in a digital file for easy retrieval.
\n
Surfaces can certainly be produced from other data types, including point data.
\n
There are certain data types that are universally applicable to any DTM effort in Civil Engineering and Surveying. These data types are constant in any program: Civil 3D, Open Roads Designer, ArcGIS, etc.
\n
The three data types which can be used in constructing a DTM are Point Data, Breakline Data, and Contour Data.
Point Data - Point Data for DTM consist of individual discrete X, Y and Z locations, without connecting features between them. Typically, these will be spot elevations in a contour drawing, or the mass points themselves in a Mass Points and Breaklines drawing. Critically, the Point Data must have an elevation or Z component that can be processed in some fashion in building the elevation model. Spot elevation text at elevation 0 in a drawing can be used and processed by Map into an ASCII file, and ASCII files of XYZ format can be used as well.
Breakline Data - Breaklines are also referred to as Faults, or Features. Breaklines, as used in this context, represent the linear edges of site features along which there is a noticeable change in grade. Successfully applied, a breakline forces a deflection in a contour to show a grade change. Examples are edges of pavement, shoulders, toes or tops of slope, toes or tops of wall, water features, etc. λ Contour Data - The definition of contour Data for Digital Terrain Modeling is very specific, and not necessarily what one would expect.
Contour Data are strings of point data connected by segments in complex objects; the CAD representation is a polyline. Contour Data do not have to be at constant elevation, as one typically thinks of contours. Contour Data are a fast means of selecting and processing point data, utilizing the vertices of the objects. Most Digital Terrain Modeling applications will also process the segments between the vertices as breakline data, and can filter out vertices too close together or add interpolated vertices if required. Contour Data must be at a correct Z elevation to be processed in a Terrain Model. Polylines must be at a correct Z, either constant as a 2D polyline, or varying, as a 3D polyline. GIS data can again be used, and CAD Map can read elevation attributes from GIS Contour Data and apply them to polylines through a Property Alteration Query.
\n\n
Most Civil Engineering and Surveying applications will utilize some combination of data types in a Terrain Model; having two types present is common and all three is not unusual at all.
\n
Triangular irregular networks (TIN) are a representation of a continuous surface consisting entirely of triangular facets, used mainly as Discrete Global Grid in primary elevation modeling.
\n
TINs can be constructed using three types of vector information: altitude measurements (mass points), surface continuity breaklines, surface continuity break polygons (polygon surfaces).
\n
The points contain the X, Y coordinates and the Z value. All points are used to establish a connection with the two closest points to create triangles. Surface triangulation is based on the Delaunay algorithm, which ensures that no points are within the circle of a triangle.
\n
The Discontinuity Lines represent the characteristics of a linear infrastructure such as curbs, retaining walls, etc. These lines also define the edges of the triangles. Breaklines can be created from linear entities such as line, polyline, arc, circle.
\n
Contours are the characteristics to define bounded 3D surfaces. Surface contours can be created with closed polylines. Defining external contours on a large 3D surface improves the performance of a TIN Surface plane.
\n
\nFigure 2 shows the triangles that result from Digital Terrain Modeling where the elevation value is retrieved from the digital surface and displays it in the Tooltip, instantly, and anywhere on the surface.
\n
Figure 2.
Digital terrain model.
\n
\n
\n
3.2 Horizontal-vertical alignment
\n
Creating and defining a horizontal alignment is one of the first steps in infrastructure design.
\n
In Figure 3 a workflow to design and edit alignments is shown.
\n
Figure 3.
Workflow: To design and edit alignments.
\n
You can draw the alignment geometry as a polyline, and then create the named alignment from that geometry. For greater control, you can create an alignment object or You can also make edits to alignments using grips.
\n
Create alignments in many ways, such as creating them from polylines, from pipe networks, and from LandXML data.
\n
The alignment can be created using fixed, floating, and free elements:
Fixed elements have its position totally defined by specifying a combination of start/end points or center, length, bearing or angle, and radius. However, as the fixed position of a computator is defined by points that are dependent (referenced) on other elements, a fixed computator is actually free to move as the referenced elements move. It is “fixed” in respect of its location to the referenced element;
Floating elements have one unknown, which becomes the “floating” part. The unknown part can be the length, angle, point/centre, or radius. The other parts (one for lines, two for arcs) are fixed in position;
Free elements are totally unconstrained and will be defined by the adjoining elements. Whilst an arc has two unknowns with only the radius, or one point, or length defined.
\n\n
Once it is determined which element type best suits the design context, it can be selected the appropriate line, curve, transition, or combination based on available design data, such as whether you have a known through point, length, or radius.
\n
When you create an alignment, you can use the criteria-based design feature to ensure that your alignment design meets minimum local standards and consequently easily identify and report standards violations.
\n
The alignment is an interactive line with profiles, both existing ground and planned work.
\n
Using profiles, you can view changes in elevation along a horizontal alignment. In addition to the centerline profile, you can create offset profiles for features such as waterway or ditch banks. On a profile view, you can also superimpose the profile of a different horizontal alignment that is in the same area. And like LandDesktop you can create a temporary profile that can help you view information at locations where there is no alignment (i.e. line, polyline, feature, or along a series of points you select).
\n
The horizontal and the vertical alignments need to match in length exactly or else the corridor will not be created properly.
\n
\nFigure 4 shows an example of road alignment with its relative ground and vertical profile.
\n
Figure 4.
Road alignment and its vertical profile.
\n
Once both alignments are created, the next step is to create a section type, with surface depths, sub-earth depth, kerbing, banking, etc.
\n
\n
\n
3.3 Section type
\n
Assembly objects contain and manage a collection of subassemblies that are used to form the basic structure of a 3D corridor model.
\n
An assembly is an 3D drawing object that manages a collection of subassembly objects. Together, assemblies and subassemblies function as the basic building blocks of a roadway or other alignment-based design.
\n
Adding one or more subassembly objects, such as travel lanes, curbs, and side slopes, to an assembly baseline creates an assembly object. This forms the design for a corridor section. The subassemblies are provided in a set of catalogs.
\n
It is also possible to create more advanced assemblies referred to as conditional assemblies. A conditional assembly contains one or more conditional subassemblies, which apply subsequent subassemblies when specified conditions at a given station are met.
\n
In Figure 5 is shown a typical section type for fill and in presence of a bridge.
\n
Figure 5.
Section types. (a) Fill, (b) bridge.
\n
Specific BIM-based tools as Subassembly Composer/ Generative Components provide an interface for composing and modifying complex subassemblies, without the need for programming. Without the need to be an expert in programming, users can create custom subassemblies to meet their specific needs, making corridors have endless possibilities.
\n
For example, in presence of a retaining wall characterized by a variation of the geometric characteristics in terms of height/weight along the road layout, it is possible to create a flowchart (see Figure 6) set with decision variables that change as the boundary conditions vary.
\n
Figure 6.
Modeling retaining walls using subassembly composer. (a) Workflow, (b) result.
\n
In the case in question, the section changes dimensional characteristics as the distance between the road surface and the ground surface changes.
\n
Once your assembly is built you need to apply this to your alignment using the corridor function and hey presto, you will have a corridor and basic road design.
\n
\n
\n
3.4 Corridor modeling
\n
Before create corridors, you must have existing data, such as existing ground surfaces, alignments (centerlines), profiles (vertical alignments), and typical sections (assemblies).
\n
All calculations should be finalized before they are applied to the corridor model. Changes in a corridor baseline alignment are not reflected in calculations. Changing the design criteria does not update the corridor model.
\n
In Figure 7 is shown a generic 3D Corridor model.
\n
Figure 7.
Modeling corridor. (a) Plan view, (b) 3D view.
\n
\n
\n
3.5 Information management
\n
Once a road network is correctly modeled and parameterized following the above procedure, a number of shared parameters describing the main features of pavement materials can be created to match the information contained in an external database.
\n
There are several visual programming tools (VPL) (i.e. Dynamo) that give to users the possibility to visually script and define custom pieces of logic using various textual programming languages.
\n
The shared parameters imported in the current project as materials features, were the road name, the road administration authority, the year in which the material was layed in place during routine maintenance operations and the physical and mechanical features of the wearing course mixtures, namely bitumen content, air voids percentage calculated with bulk specific gravity determined by means of the dimensional procedure, SSD procedure or sealed specimen procedure and Marshall stability.
\n
Then, the material codes were exported to Excel with the programming flow reported in Figure 8, then matched with the materials names in the worksheet and finally imported back into VPL with assigned values.
\n
Figure 8.
Materials code creation workflow.
\n
A worksheet was created using the code block “Data.ExportExcel” (5), whose file path, sheet name and position of the exported data were defined respectively with the code blocks (4A), (4B) and (4C). The worksheet contained a list (4D) of materials identifiers (3A) and names (3B) selected from the list of elements (2) of the materials category (1).
\n
The above mentioned operations allowed visualizing and managing the physical and mechanical features of the wearing course model and updating the information once the input worksheet is integrated with different data. The visualization of the imported data is visible in the material parameters interface, as shown in Figure 9.
\n
Figure 9.
Example of material parameters after the association of worksheet data to the model.
\n
Then, in the same way, is possible the implementation of a ranking algorithm to evaluate the durability of the wearing course material basing on the material characterization, according to current Regulation [32]. In the specific:
% bitumen (%B) in the range 4.5 ÷ 6.1% to meet both economic and environmental needs;
Stability>900 (daN) to respond to mechanical problems;
% air voids determined by means of the dimensional procedure >3% to improve shear strength;
The difference between air voids determined by means of the sealed specimen and SSD procedure (Δ) is equal or lower than 1% to ensure that there are no anomalies in the database due to technical errors.
\n\n
In Figure 10 is shown the workflow for identifying the road pavements that satisfy the first condition.
\n
Figure 10.
Workflow for identifying pavements with bitumen content in the range 4.5%–6.1% by the weight of the mixture.
\n
In the specific: box 1A answers the question if x (%B) is greater than or equal to y (%B lower-limit equal to 4.5%); box 1B answers the question if x (%B) is less than or equal to y (%B upper limit equal to 6.1%); Box 2 “List.Join” concatenates the two lists into one list; Box 3 “List.AllTrue” determines if all the elements of the list are Boolean values with true value; Box 4 “List.Join” merges all the lists associated to other pavement sections of the road network; box 5 “SelectModelElement” for selecting the pavement sections under analysis; box 6 “ListCreate” for merging all the selected pavements in the previous step in a single list; box 7 “List.FilterByBoolMask” to filter the list of elements codes by looking up for corresponding indices in the list of Boolean variables, identifying the sections that comply with the technical specifications.
\n
In the same way, the workflow can be adapted to the remaining Regulation conditions, with the possibility then to create combined filters among the mentioned conditions, for visualizing on the road network map, with different color, the pavements with best, worst or intermediate performance.
\n
For example, in Figure 11, the list containing the overall scores of the road surfaces under analysis (1) was matched with the list of identification codes of the corresponding elements of the model (3) using again the code block “List.FilterByBoolMask” (4). In the present study, the list of Boolean variables was obtained by looking for the road surface with the minimum score (2), obtained from the combination of several physical and mechanical indicators and their upper and lower limit imposed by the Regulation. Lastly, the element code that met condition (2) was emphasized in the model element with the color red (5) by using the code block “Element.OverrideColorInView” (6).
\n
Figure 11.
Workflow for identifying pavements with best/worst performance on the road network.
\n
As a simplified application to show the impact of information update on the model output modification, two different road sections were considered with bituminous mixtures for wearing course characterized in terms of bitumen content, percentage air voids and Marshall stability.
\n
The test results are updated as material parameters in the model and a ranking algorithm is implemented in order to identify the road section with a need for maintenance. As shown in Figure 12, the critical road section that requires routine maintenance before the other is highlighted in red.
\n
Figure 12.
Example of identification of the critical section.
\n
Figure 13.
Example of identification of the critical section after routine maintenance operations.
\n
After routine maintenance operations, quality controls are performed on the wearing course to assess the compliance of the material with the performance required by the Regulation. As a consequence, the model is updated with new information and the raking algorithm immediately finds out the new critical section (Figure 13).
\n
\n
\n
\n
4. Conclusions
\n
Computer-aided drafting (CAD) transformed the way professionals created infrastructure designs.
\n
If oriented to the management phase, a BIM model becomes a real simulation, planning and implementation tool for the facility manager, also thanks to the three-dimensional approach related to the parametric objects that populate the environment, representing a valid tool to guarantee control and interoperability of data in an intelligent way.
\n
The implemented methodology allowed creating an integrated model that contains and analyzes data produced by the quality controls of the bituminous materials after laying and compaction.
\n
The applied methodology resulted in a dynamic model that updates its information package and modifies the output of the analysis every time the data worksheet is integrated with new test results.
\n
A tool as such is intended on the one hand to support the prioritization of any existing Pavement Management System that is currently adopted by administrations to plan maintenance operations on the road network and on the other to provide information as an alert system identifying what does not work in maintenance operations.
\n
BIM systems are therefore destined not only to radically change the paradigms of the real estate market but will be able to make a fundamental contribution to the future of the planet, capable of creating IT models from an architectural, urban, environmental and not simply a single infrastructure point of view but of entire inhabited centers: BIM is at the basis of the creation of sustainable cities and Smart Cities. Not only that, with the help of BIM it will be possible to achieve improvements in terms of more sustainable, inclusive and secure cities.
\n
In this way, the proposed framework can also serve as a decision support tool for better planning and management of smart city infrastructure requirements, taking in account as further perspectives other key factors as energy, estimating/cost simulation and mobility analysis.
\n
\n
Conflict of interest
No potential conflict of interest was reported by the authors.
\n',keywords:"building information modeling, smart infrastructure, road pavements, computational design",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/73624.pdf",chapterXML:"https://mts.intechopen.com/source/xml/73624.xml",downloadPdfUrl:"/chapter/pdf-download/73624",previewPdfUrl:"/chapter/pdf-preview/73624",totalDownloads:115,totalViews:0,totalCrossrefCites:0,dateSubmitted:"May 14th 2020",dateReviewed:"September 29th 2020",datePrePublished:"October 15th 2020",datePublished:null,dateFinished:null,readingETA:"0",abstract:"In the age of the Internet-of-Things and Big Data, Building Information Modeling (BIM) is being expanded into sectors for which it was not originally designed, such as the infrastructure sector, and becomes a necessity for the planning and management of smart cities. The digitization of the urban environment, its building and infrastructural heritage and its services is at the center of the concept of smart city, and this appears strongly linked to the use of BIM on an increasingly extended scale as an enabling tool for planning cities that are increasingly intelligent, sustainable, interconnected and above all liveable. In this chapter a creation process for the digitalization of existing roads, as well-known as reverse engineering method, will be shown as follows: a) modeling 3D digital terrain model; b) creating the horizontal alignment, vertical profiles and editing cross-sections; c) modeling the 3D corridor. As a response to long-term development between BIM and road engineering, this chapter will contribute also by offering innovative and practical solutions for integration of road design and pavement analysis, for a better management and optimization of road pavement maintenance.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/73624",risUrl:"/chapter/ris/73624",signatures:"Salvatore Antonio Biancardo, Nunzio Viscione, Cristina Oreto and Francesca Russo",book:{id:"9872",title:"Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities",subtitle:null,fullTitle:"Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities",slug:null,publishedDate:null,bookSignature:"Prof. Stefano De Luca, Dr. Roberta Di Pace and Dr. Chiara Fiori",coverURL:"https://cdn.intechopen.com/books/images_new/9872.jpg",licenceType:"CC BY 3.0",editedByType:null,editors:[{id:"271061",title:"Prof.",name:"Stefano",middleName:null,surname:"De Luca",slug:"stefano-de-luca",fullName:"Stefano De Luca"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Goals definition",level:"1"},{id:"sec_3",title:"3. Road modeling",level:"1"},{id:"sec_3_2",title:"3.1 Digital terrain model",level:"2"},{id:"sec_4_2",title:"3.2 Horizontal-vertical alignment",level:"2"},{id:"sec_5_2",title:"3.3 Section type",level:"2"},{id:"sec_6_2",title:"3.4 Corridor modeling",level:"2"},{id:"sec_7_2",title:"3.5 Information management",level:"2"},{id:"sec_9",title:"4. Conclusions",level:"1"},{id:"sec_13",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'\nKumar H, Singh MK, Gupta MP. Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework. Technological Forecasting and Social Change. 2018.\n'},{id:"B2",body:'\nAzhar S. Building information Modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering. 2011; 11:134-146.\n'},{id:"B3",body:'\nMarmo R, Polverino F, Nicolella M, Tibaut A. Building performance and maintenance information model based on IFC schema. Automation in Construction. 2020; 118:103275.\n'},{id:"B4",body:'\nSingh P, Sadhu A. System Identification-Enhanced Visualization Tool for Infrastructure Monitoring and Maintenance. Frontiers in Built Environment. 2020; 6:76.\n'},{id:"B5",body:'\nOzturk GB. Interoperability in building information modelling for AECO/FM industry. Automation in Construction. 2020; 113:103122.\n'},{id:"B6",body:'\nAl Sayed K, Bew M, Penn A, Palmer D, Broyd T. Modelling dependency networks to inform data structures in BIM and smart cities. In: Proceedings of the 10th International Space Syntax Symposium; 13-17 July 2015; London. United Kingdom; 2015.\n'},{id:"B7",body:'\nVilgertshofer S, Borrmann A. Using graph rewriting methods for the semi-automatic generation of parametric infrastructure models. Advanced Engineering Informatics. 2017; 33:502-515.\n'},{id:"B8",body:'\nBiancardo SA, Capano A, Guerra De Oliveira S, Tibaut A. Integration of BIM and Procedural Modeling Tools for Road Design. Infrastructures. 2020; 5(37).\n'},{id:"B9",body:'\nMcGraw-Hill Construction. The Business Value of BIM for Infrastructure: Addressing America’s Infrastructure Challenges with Collaboration and Technology. Smart Market Report. 2012. Available from: http://images.autodesk.com/adsk/files/business_value_of_bim_for_infrastructure_smartmarket_report__2012.pdf\n\n'},{id:"B10",body:'\nChong H, Lopez, R, Wang J, Wang, X, Zhao Z. Comparative analysis on the adoption and use of BIM in road infrastructure projects. Journal of Management in Engineering. 2016; 32:1-13.\n'},{id:"B11",body:'\nSankaran B, O’Brien W, Goodrum P, Khwaja N, Leite F, Johnson J. Civil integrated management for highway infrastructure: Case studies and lessons learned. Transportation Research Record: Journal of the Transportation Research Board. 2016; 2573:10-17.\n'},{id:"B12",body:'\nAbdelwahab HT. Intelligent design (4D, 5D and beyond) for road design and construction projects: Two case studies. International Road Federation (IRF) Examiner. 2018; 12:21-25.\n'},{id:"B13",body:'\nLee SS, Kim KT, Tanoli WA, Seo JW. Flexible 3D Model Partitioning System for nD-Based BIM Implementation of Alignment-Based Civil Infrastructure. Journal of Management in Engineering. 2020; 36(1): 04019037.\n'},{id:"B14",body:'\nAbbondati F, Biancardo SA, Sicignano G, Guerra de Olivera S, Tibaut A, Dell’Acqua G. BIM parametric modelling of a railway underpass. Ingegneria Ferroviaria. 2020; 6:443-459.\n'},{id:"B15",body:'\nBiancardo SA, Viscione N, Oreto C, Veropalumbo R, Abbondati F. BIM Approach for Modeling Airports Terminal Expansion. Infrastructures. 2020; 5(41).\n'},{id:"B16",body:'\nAbbondati F, Biancardo SA, Palazzo S, Capaldo FS, Viscione N. I-BIM for Airport Infrastructures. Transportation Research Procedia. 2020; 45:596-603.\n'},{id:"B17",body:'\nBiancardo SA, Viscione N, Cerbone A, Dessì E Jr. BIM-Based Design for Road Infrastructure: A Critical Focus on Modeling Guardrails and Retaining Walls. Infrastructures. 2020; 5(59).\n'},{id:"B18",body:'\nTschickardt T, Krause D. BIM in highway construction using the example project Availability model A 10/A 24. Bautechnik. 2019; 96(3):259-268.\n'},{id:"B19",body:'\nBosurgi G, Celauro C, Pellegrino O, Rustica N, Sollazzo G. The BIM (building information modeling)-based approach for road pavement maintenance. Lecture Notes in Civil Engineering. 2020; 48:480-490.\n'},{id:"B20",body:'\nJing W, Hao G, Li C, Wei W, Cheng J. BIM Application Approach on Highway Maintenance and Management. In: Proceedings of the 19th COTA International Conference of Transportation Professionals; 6-8 July 2019; Nanjing. China; 2016. p. 776-786.\n'},{id:"B21",body:'\nBiancardo SA, Russo F, Veropalumbo R, Vorobjovas V, Dell’Acqua G. Modeling Roman Pavements using Heritage-BIM. The Baltic Journal of Road and Bridge Engineering. 2020; 15(3): 34-46.\n'},{id:"B22",body:'\nMarzouk M, Othman A. Planning utility infrastructure requirements for smart cities using the integration between BIM and GIS. Sustainable Cities and Society. 2020; 57: 102120.\n'},{id:"B23",body:'\nSankaran B, Nevett G, O’Brien WJ, Goodrum PM, Johnson J. Civil Integrated Management: Empirical study of digital practices in highway project delivery and asset management. Automation in Construction. 2018; 87:84-95.\n'},{id:"B24",body:'\nTang F, Ma T, Y. Guan, Zhang Z. Parametric modeling and structure verification of asphalt pavement based on BIM-ABAQUS. Automation in Construction. 2020; 111:103066.\n'},{id:"B25",body:'\nTang F, Ma T, Zhang J, Guan Y, Chen L. Integrating three-dimensional road design and pavement structure analysis based on BIM. Automation in Construction. 2020; 113:103152.\n'},{id:"B26",body:'\nCostin A, Adibfar A, Hu H, Chen SS. Building Information Modeling (BIM) for transportation infrastructure–Literature review, applications, challenges, and recommendations. Automation in Construction. 2018; 94:257-281.\n'},{id:"B27",body:'\nTam ASB, Price JWH. A maintenance prioritisation approach to maximise return on investment subject to time and budget constraints. Journal of Quality in Maintenance Engineering. 2008; 14(3):272-289.\n'},{id:"B28",body:'\nDelval T, Geffroy B, Rezoug M, Jolibois A, Oliveira F, Carrè S, Trual M, Soula J. BIM to Develop Integrated, Incremental and Multiscale Methods to Assess Comfort and Quality of Public Spaces. Lecture Notes in Civil Engineering. 2021, 98: 160-179.\n'},{id:"B29",body:'\nKim JI, Kim J, Fischer MA, Orr R. BIM-based decision-support method for master planning of sustainable large-scale developments. Automation in Construction. 2015; 58: 95-108.\n'},{id:"B30",body:'\nLi YW, Cao K. Establishment and application of intelligent city building information modelbased on BP neural network model. Computer Communications. 2020, 153: 382-389\n'},{id:"B31",body:'\nWang J, Jiang C, Zhang K, Quel TQS. Vehicular sensing networks in a smart city: Principles, technologies and applications. IEEE Wireless Communications. 2018; 25 (1): 122-132.\n'},{id:"B32",body:'\nAzienda Nazionale Autonoma delle Strade (ANAS). Capitolato speciale d’appalto-Norme Tecniche. 2016.\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Salvatore Antonio Biancardo",address:"salvatoreantonio.biancardo@unina.it",affiliation:'
'}],corrections:null},book:{id:"9872",title:"Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities",subtitle:null,fullTitle:"Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities",slug:null,publishedDate:null,bookSignature:"Prof. Stefano De Luca, Dr. Roberta Di Pace and Dr. Chiara Fiori",coverURL:"https://cdn.intechopen.com/books/images_new/9872.jpg",licenceType:"CC BY 3.0",editedByType:null,editors:[{id:"271061",title:"Prof.",name:"Stefano",middleName:null,surname:"De Luca",slug:"stefano-de-luca",fullName:"Stefano De Luca"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"281310",title:"Prof.",name:"Jody",middleName:null,surname:"Summers",email:"jody-summers@ouhsc.edu",fullName:"Jody Summers",slug:"jody-summers",position:null,biography:null,institutionString:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"1",totalEditedBooks:"0",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:null},booksEdited:[],chaptersAuthored:[{title:"Retinoic Acid in Ocular Growth Regulation",slug:"retinoic-acid-in-ocular-growth-regulation",abstract:"All-trans-retinoic acid (atRA) is a metabolite of vitamin A (retinol) and is required for growth and development of a variety of organ systems in all higher animals from fish to humans. 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The Open Access model is applied to all of our publications and is designed to eliminate subscriptions and pay-per-view fees. This approach ensures free, immediate access to full text versions of your research.
As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 118,000 international scientists and researchers.
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The Open Access Publishing Fee (OAPF) is payable only after your full chapter, monograph or Compacts monograph is accepted for publication.
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OAPF Publishing Options
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1,400 GBP Chapter - Edited Volume
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10,000 GBP Monograph - Long Form
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4,000 GBP Compacts Monograph - Short Form
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\\n\\n
*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
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Services included are:
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An online manuscript tracking system to facilitate your work
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Personal contact and support throughout the publishing process from your dedicated Author Service Manager
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Assurance that your manuscript meets the highest publishing standards
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English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
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XML Typesetting and pagination - web (PDF, HTML) and print files preparation
\\n\\t
Discoverability - electronic citation and linking via DOI
\\n\\t
Permanent and unrestricted online access to your work
What isn't covered by the Open Access Publishing Fee?
\\n\\n
If your manuscript:
\\n\\n
\\n\\t
Exceeds 20 pages (for chapters in Edited Volumes), an additional fee of 40 GBP per page will be required
\\n\\t
If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
\\n
\\n\\n
Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
\\n\\n
Open Access Funding
\\n\\n
To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at oapf@intechopen.com for further details or assistance.
\\n\\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
\\n\\n
Added Value of Publishing with IntechOpen
\\n\\n
Choosing to publish with IntechOpen ensures the following benefits:
\\n\\n
\\n\\t
Indexing and listing across major repositories, see details ...
\\n\\t
Long-term archiving
\\n\\t
Visibility on the world's strongest OA platform
\\n\\t
Live Performance Metrics to track readership and the impact of your chapter
\\n\\t
Dissemination and Promotion
\\n
\\n\\n
Benefits of Publishing with IntechOpen
\\n\\n
\\n\\t
Proven world leader in Open Access book publishing with over 10 years experience
\\n\\t
+4,800 OA books published
\\n\\t
Most competitive prices in the market
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Fully compliant with OA funding requirements
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Optimized processes, enabling publication between 8 and 12 months
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Personal support during every step of the publication process
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+108,170 citations in Web of Science databases
\\n\\t
Currently strongest OA platform with over 130 million downloads
As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 118,000 international scientists and researchers.
\n\n
The Open Access Publishing Fee (OAPF) is payable only after your full chapter, monograph or Compacts monograph is accepted for publication.
\n\n
OAPF Publishing Options
\n\n
\n\t
1,400 GBP Chapter - Edited Volume
\n\t
10,000 GBP Monograph - Long Form
\n\t
4,000 GBP Compacts Monograph - Short Form
\n
\n\n
*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
\n\n
Services included are:
\n\n
\n\t
An online manuscript tracking system to facilitate your work
\n\t
Personal contact and support throughout the publishing process from your dedicated Author Service Manager
\n\t
Assurance that your manuscript meets the highest publishing standards
\n\t
English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
\n\t
XML Typesetting and pagination - web (PDF, HTML) and print files preparation
\n\t
Discoverability - electronic citation and linking via DOI
\n\t
Permanent and unrestricted online access to your work
What isn't covered by the Open Access Publishing Fee?
\n\n
If your manuscript:
\n\n
\n\t
Exceeds 20 pages (for chapters in Edited Volumes), an additional fee of 40 GBP per page will be required
\n\t
If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
\n
\n\n
Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
\n\n
Open Access Funding
\n\n
To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at oapf@intechopen.com for further details or assistance.
\n\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
\n\n
Added Value of Publishing with IntechOpen
\n\n
Choosing to publish with IntechOpen ensures the following benefits:
\n\n
\n\t
Indexing and listing across major repositories, see details ...
\n\t
Long-term archiving
\n\t
Visibility on the world's strongest OA platform
\n\t
Live Performance Metrics to track readership and the impact of your chapter
\n\t
Dissemination and Promotion
\n
\n\n
Benefits of Publishing with IntechOpen
\n\n
\n\t
Proven world leader in Open Access book publishing with over 10 years experience
\n\t
+4,800 OA books published
\n\t
Most competitive prices in the market
\n\t
Fully compliant with OA funding requirements
\n\t
Optimized processes, enabling publication between 8 and 12 months
\n\t
Personal support during every step of the publication process
\n\t
+108,170 citations in Web of Science databases
\n\t
Currently strongest OA platform with over 130 million downloads
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