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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
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\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"220",leadTitle:null,fullTitle:"Hydraulic Conductivity - Issues, Determination and Applications",title:"Hydraulic Conductivity",subtitle:"Issues, Determination and Applications",reviewType:"peer-reviewed",abstract:"There are several books on broad aspects of hydrogeology, groundwater hydrology and geohydrology, which do not discuss in detail on the intrigues of hydraulic conductivity elaborately. However, this book on Hydraulic Conductivity presents comprehensive reviews of new measurements and numerical techniques for estimating hydraulic conductivity. This is achieved by the chapters written by various experts in this field of research into a number of clustered themes covering different aspects of hydraulic conductivity. The sections in the book are: Hydraulic conductivity and its importance, Hydraulic conductivity and plant systems, Determination by mathematical and laboratory methods, Determination by field techniques and Modelling and hydraulic conductivity. Each of these sections of the book includes chapters highlighting the salient aspects and most of these chapters explain the facts with the help of some case studies. Thus this book has a good mix of chapters dealing with various and vital aspects of hydraulic conductivity from various authors of different countries.",isbn:null,printIsbn:"978-953-307-288-3",pdfIsbn:"978-953-51-4396-3",doi:"10.5772/744",price:139,priceEur:155,priceUsd:179,slug:"hydraulic-conductivity-issues-determination-and-applications",numberOfPages:448,isOpenForSubmission:!1,isInWos:1,isInBkci:!0,hash:"77f359622d92baeaf977c1632585e1b4",bookSignature:"Lakshmanan Elango",publishedDate:"November 23rd 2011",coverURL:"https://cdn.intechopen.com/books/images_new/220.jpg",numberOfDownloads:81931,numberOfWosCitations:81,numberOfCrossrefCitations:26,numberOfCrossrefCitationsByBook:2,numberOfDimensionsCitations:82,numberOfDimensionsCitationsByBook:2,hasAltmetrics:0,numberOfTotalCitations:189,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 20th 2010",dateEndSecondStepPublish:"November 17th 2010",dateEndThirdStepPublish:"March 24th 2011",dateEndFourthStepPublish:"April 23rd 2011",dateEndFifthStepPublish:"June 22nd 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,8",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"47726",title:"Prof.",name:"Lakshmanan",middleName:null,surname:"Elango",slug:"lakshmanan-elango",fullName:"Lakshmanan Elango",profilePictureURL:"https://mts.intechopen.com/storage/users/47726/images/1851_n.jpg",biography:"Professor L. Elango is a specialist in the field of hydrogeological characterisation, hydrochemical studies, hydrogeophysics and groundwater modelling. He had professional training in Danish Hydraulic Institute, Swiss Federal Institute of Technology, University of Newcastle, University of Bath, University of Birmingham and Ruhr University. He has carried out sponsored research projects on various aspects of hydrogeology, including the ones funded by the British Geological Survey, Australian Research Council, Russian Academy of Sciences and the European Commission. He has published about 50 research papers in various journals and four books. He is a Vice President of International Commission on Water Quality of IAHS. He has organised many training programmes, workshops and conferences in the field of hydrogeology, including capacity building programmes under The World Bank funded Hydrology Project and UNESCO’s International Hydrology Programme. 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He is currently an Assistant Professor - Energy Technology, School of Engineering Technology at Purdue University, USA. He is the Founder and Director of Advanced Power Units and Renewable Distributed Energy Lab (A_PURDUE). His research focuses on Modeling, Design, Multi-Objectives Optimization, Simulation, Analysis, and Control of various aspects such as Smart Nano & Micro- Grids; Electric Mobility & Transportation Electrification, Renewable Energy Systems; Wireless Charging of Electric Vehicles; Electric Vehicles; Special Purposes Electric Machines; Deep Learning Techniques; Distributed Generation Systems; Thermoelectric Generation; Special Power Electronics Converters; Power Systems; Energy Storage & Conservation; and Engineering Education. So far, He has 9 books, 5 chapters in books, 63 journal papers, 73 conference papers, and 106 other publications with his collaborators, and students related to his research interests. 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In particular, ALS belongs to the group of motor neuron diseases, involving the loss of cortex, brainstem, and spinal cord motor neurons that result in muscle paralysis [1]. Motor neurons, which are localized in the brain, brainstem and spinal cord, behave as a crucial links between the nervous system and the voluntary muscles of the body, as they let synaptic signals travel from upper motor neurons in the brain to lower motor neurons in the spinal cord and finally to muscles. In accordance with the revised El Escorial criteria [2], both the upper motor neurons and the lower motor neurons degenerate or die in ALS, and as a consequence the communication between neuron and muscle is lost, prompting the progressive muscle weakening and the appearance of fasciculations. In the later stages of the disease, patients become paralyzed although the disease usually does not impair a person\'s mind or intelligence.
Nowadays, the cause of ALS and its early manifestations still remain to be elucidated. The pathophysiological mechanisms that prompt the neurodegenerative process in both familial (FALS) and sporadic (SALS) ALS are unknown. However, there is growing evidence that the pathogenic process involved in ALS are multifactorial and include oxidative stress, glutamate excitotoxicity, mitochondrial dysfunction, axonal transport systems and dysfunction of glial cells, yielding the damage of critical proteins and organelles in the motor neuron triggering the neurodegeneration [3]. Due to the fact that FALS and SALS share clinical and pathological signs, the understanding of the pathophysiological process in FALS would provide a better understanding of the neurodegenerative mechanisms in SALS.
FALS follows a predominantly autosomal dominant pattern, while in SALS genetic factors that take place sporadically contribute to its pathogenesis. The majority of ALS cases are sporadic and 5-10% of cases correspond to FALS. Although the ages of onset of FALS, which follow a normal Gaussian distribution, correspond to a decade earlier than for SALS cases which have an age dependent incidence, males and females are affected equally in FALS [4].
The most significant candidate genes for SALS include
Regarding FALS candidate genes, the mutations in the copper/zinc superoxide-dismutase-1 gene (
The pathophysiology of
Neurotrophic factors have been initially identified as potential therapeutic agents in the treatment of ALS, opening the door to a new tool for the treatment of motor neuron diseases [10]. Based on previous studies ciliary and glial derived neurotrophic factors, insulin-like growth factor (IGF-1) and erythropoietin improved motor behaviour and reduce motor neuron loss, astrocyte and microglia activation in preclinical animal models [11], albeit clinical trials in ALS patients showed lack of therapeutic efficacy [12].
The failure of standard treatments in ALS could rely on the inappropriate route of administration and/or the poor bioavailability of molecules to the target cell [13]. The subcutaneous and intrathecal delivery of neurotrophic factors can cause adverse side effects such as weight loss, fever, cough, fatigue and behavioral changes [14], whereas viral gene therapy based on the use of an adeno-associated virus or lentivirus vectors is more efficient than the neurotrophic factor delivery but can induce several inherent hazards [15].
An alternative strategy that effectively reaches motor neurons, can exert neuroprotective properties and does not show such adverse side effects implies the use of the nontoxic fragment C (TTC) of tetanus toxin. Tetanus toxin is a neurotoxin produced by
Tetanus toxin is a single peptide of approximately 150 kDa, which consists of 1315 amino-acid residues. The toxin forms a two-chain activated molecule composed of a heavy chain (HC) and a light chain (LC) linked by a disulfide bond. The catalytic domain of the toxin resides in the LC, while the translocation and receptor-binding domains are present in HC [18–21] (Figure 1). Tetanus and botulinum toxins are zinc metalloproteases that cleave SNARE (soluble NSF attachment receptor) proteins, which interfere with the fusion of synaptic vesicles to the plasma membrane and ultimately blocks neurotransmitter release in nerve cells [22].
The nature of the action of tetanus toxin has been widely described in different animal models [23–28], exploring its effect not only in the spinal cord but also in the cerebral cortex [29]. One of the unique characteristics of tetanus toxin is that it can be transported retrogradely to the central nervous system and shows remarkable affinity and specificity to neuronal terminals. The ganglioside-recognition domain in the C-terminal region of HC allows the toxin to be internalized into the neuron at the neuromuscular junction where it enters the axonal retrograde transport pathway and is subsequently transported to the neuronal soma in the CNS [30,31]. Once the toxin reaches the cytoplasm, it specifically cleaves neuronal proteins integral to vesicular trafficking and neurotransmitter release. In particular, the synaptic vesicle protein synaptobrevin (VAMP) is the target of tetanus toxin. This protein belongs to a family of proteins that facilitate exocytosis in neurons known as SNARE proteins. The other members of this family are syntaxin and SNAP-25, which are the main molecular targets of botulinum toxin. SNARE proteins are formed by coiled-coil interactions of the alpha-helices of its members, which is required for membrane fusion [32–35].
Diagram of the tetanus toxin molecule. The targeting and the translocation domains are located in the heavy-chain (HC), whereas the catalytic domain is located in the light-chain (LC) of the molecule. Its proteolytic activity is Zn2+-dependent, and heavy-metal chelators generate inactive apo-neurotoxins. TTC is approximately 50 KDa and resides in the HC of the toxin. The ganglioside-recognition domain in TTC allows the toxin to be internalized into the neuron [
From the gene therapy point of view, the most interesting part of the toxin that must be outstanding is TTC. This fragment of the toxin is located in the HC of tetanus toxin molecule and it plays an important role in the neuronal internalization (Figure 1). In fact, TTC maintains transport properties of the native tetanus toxin without causing toxic effects, in such a way that in the absence of TTC, the toxin retains little ability to paralyze neuromuscular transmission [35,36].
The trans-synaptic transport of TTC was intensively studied in one of the best-characterized systems, the primary visual pathway [37, 38], confirming its capacity as a carrier once it was injected intramuscularly [39-41]. Furthermore, the possibility of constructing recombinant molecules with TTC has opened the door to an interesting research field, the discovery of neuro-anatomical tracers, whose main purpose is to map synaptic connections between neuronal cells.
One of the most well-known recombinant proteins that have been used for this purpose is the protein encoded by
The advances in the understanding of these recombinant proteins have paved the way for new therapeutic approaches using TTC as a carrier of molecules to ameliorate the disease process of motor neuron diseases, neuropathies and pain. As an example, several proteins conjugated to TTC that have been used to study neuronal internalization
Apart from the carrier properties of TTC, the neuroprotective nature of TTC was one of the best kept properties to discover.
The neurotrophin family has been shown to regulate survival, development and functional aspects of neurons in the central and peripheral nervous systems through the activation of one or more of the three members of the receptor tyrosine kinases (TrkA, TrkB, and TrkC) in cooperation with p75NTR [45-48]. Nerve growth factor (NGF) can bind to the TrkA receptor or a complex of TrkA and p75NTR [45], BDNF and neurotrophin-4/5 can bind to TrkB, and neurotrophin-3 binds to TrkC. Interestingly, the retrograde pathway of TTC is shared by p75NTR, TrkB and BDNF, which is strongly dependent on the activities of the small GTPases Rab5 and Rab7 [49], therefore TTC alone might have a neuroprotective role and therefore it can be a valuable non-viral therapeutic agent in ALS.
Many authors have suggested that the trans-synaptic transcytosis pathway used by tetanus toxin was most likely “designed” for the trafficking of trophic factors through a chain of connected neurons [50]. Furthermore, two trophic factors, GDNF and BDNF, have been reported to possess similar trans-synaptic transcytotic properties to those of tetanus toxin [51].
Tetanus toxin can induce an increase in serotonin synthesis in the central nervous system, suggesting that the toxin-affected serotonergic innervation in the perinatal rat brain can trigger the translocation of calcium phosphatidylserine-dependent protein kinase C (PKC) [52]. In particular, tetanus toxin is able to alter a component involving inositol phospholipid hydrolysis, which is associated with PKC activity translocation [53,54]. In addition to this translocation, an enhancement of the tyrosine phosphorylation of the tyrosine receptor TrkA, phospholipase C (PLCγ-1) and ERK-1/2 can be also observed [55]. Due to the fact that TTC can stimulate the PLC-mediated hydrolysis of phosphoinositides in rat brain neurons, TTC seems to modulate some signaling pathways involving the transport of serotonin [56].
Moreover, the activation of intracellular pathways related to the PLCγ-1 phosphorylation and activation of PKC isoforms and the kinases Akt (at Ser 473 and Thr 308) and ERK-1/2 (at Thr 202/Tyr 204) is induced by TTC in rat brain synaptosomes and cultured cortical neurons. This signal pathway activation is dependent on time and concentration, therefore TTC can exert neuroprotective effects, activating TrkA and TrkB receptors in a similar manner as do NGF and BDNF or neurotrophin-4/5 [57,58].
The neuroprotective role of TTC is also supported by the fact that it can also protect cerebellar granular cells against potassium deprivation-induced apoptotic death [59] and act as a neuroprotector in a model of 1-methyl-4-phenylpyridinium (MPP+)-triggered apoptosis, enhancing the survival pathways in rats with a dopaminergic lesion and improving different motor behaviors. Particularly, TTC is able to induce Ser 112 and Ser 136 BAD phosphorylation, activate the transcription factor NF-κB, which prevents neuronal death, and induce a decrease in the release of cytochrome c and, consequently, a reduction in the activation of procaspase-3 and chromatin condensation [60,61].
More recently, the nature of TTC described by Longstreth and colleagues [62] and Larsen and colleagues [63], based on its stability to reach motor neurons specifically through the retrograde axonal transport system, has been reinforced as a potential neuroprotective agent in previous
Functional and survival effect under TTC treatment. Intramuscular injection of TTC-encoding plasmid in SOD1G93A mice (grey bars) delays significantly disease onset and mortality compared to the control group (*p<0,05, error barrs indicate SEM) (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
Apart from functional and survival results obtained
Interestingly, TTC administration can also affect antiapoptic pathways by means of calcium-related mechanisms [64]. The positive effects on motor neuron preservation, animal motor function, and survival were confirmed with studies of anti-apoptotic effects and survival signals in the spinal cords of treated animals. Transcriptional caspase-1 and caspase-3 levels were downregulated in the spinal cord of TTC-treated animals as well as significant variations in calcium-related gene expression were found [64]. Furthermore, a downregulation of the caspase-3 activation protein levels in the spinal cord of TTC-treated animals indicated that TTC might act through an anti-apoptotic pathway. Actually, Bax, Bcl2, phospho-Akt and phospho-ERK 1/2 protein expression levels in TTC-treated animals were statistically significant and close to those of wild-type animals, suggesting a decrease of apoptosis and a lower degree of motor neuron neurodegeneration due to TTC treatment [64].
Taking all these results obtained
Motor neuron survival and neurophysiological study in gastrocnemius and plantar muscles in SOD1G93A mice. (a) Presence of TTC in the grey matter of the ventral horn of (a) positive control (SOD1G93A transgenic mice injected with empty plasmid) and (b) SOD1G93A-TTC treated mice. Arrows point to some of the neurons positively stained for TTC. Bar = 200 μm. (b) Electrophysiological study of compound muscle action potential (CMAP) in gastrocnemius and plantar muscles in wild-type mice (WT), control SOD1G93A mice, and SOD1G93A mice treated with naked DNA encoding for TTC. Values are the mean ± SEM. CMAP, compound muscle action potential; n, number of mice. *P < 0.05 vs. WT group at the same age (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
It has been very well described the specificity of a trophic factor for motoneurons and precisely this specificity could be increased by genetically fusing it to TTC, while the trophic factor could contribute to enhance the benefits observed for TTC. Therefore the next inevitable approach is to test naked-DNA gene delivery to encode for a chimeric molecule, to study the potential synergistic effect.
As previously mentioned, BDNF belongs to the family of neurotrophins and binds specifically to TrkB receptors to activate the intracellular signaling pathways that promote neuronal survival and the differentiation of neurons. The neurotrophic effects of BDNF on motoneuronal degeneration have been widely studied
Similarly to the results observed in transgenic SOD1G93A mice [64], an amelioration of the decline in hindlimb muscle innervation was observed in the animals that were injected with either naked DNA encoding TTC or naked DNA encoding the recombinant molecule TTC and BDNF (BDNF-TTC) [65] (Figures 4,5), in addition to a significant delay in the onset of symptoms and functional deficits (Figure 6), an improvement in the spinal motor neuron survival (Figure 7) (down-regulation of caspase-1 and caspase-3 levels and a significant phosphorylation of serine/threonine protein kinase Akt) (Figure 8) and a prolonged lifespan under both treatments [64,65].
Motoneuronal preservation in transgenic SOD1G93A mice under TTC, BDNF and BDNF-TTC treatments. Immunohistochemical labeling for BDNF expression in the grey matter of the ventral horn of (a) positive control (SOD1G93A transgenic mice injected with empty plasmid), (b) SOD1G93A-BDNF and (c) L2 and (d) L4 spinal segments of SOD1G93A-BDNF-TTC mice. (e, f) Detail of BDNF immunolabeling of the sections shown in c and d, at higher magnification. Presence of TTC in the grey matter of the ventral horn of (g) SOD1G93A-BDNF-TTC and (h) SOD1G93A-TTC treated mice. Arrows point to some of the neurons positively stained for TTC. Bar = 200 μm in a, b, c, d, g and h; bar = 100 μm in e and f (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
Neurophysiological study in gastrocnemius and plantar muscles. (a) Results of wild-type mice (WT), control SOD1G93A mice, and SOD1G93A mice treated with naked DNA encoding for BDNF, TTC, and BDNF-TTC are shown. Values are the mean ± SEM. CMAP, compound muscle action potential; n, number of mice. *p < 0.05 vs. WT group at the same age. (b) Histogram representation of the decrement in the amplitude of the compound muscle action potential. CMAP was compared at 4 months with respect to values at 3 months of age in SOD1G93A mice, untreated and treated with naked DNA encoding for BDNF, TTC or BDNF-TTC. For each group, the left bar corresponds to the gastrocnemius muscle and the right bar to the plantar muscle (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
Improvement in disease clinical outcomes in transgenic SOD1G93A mice under TTC, BDNF and BDNF-TTC treatments. Cumulative probability of the onset of disease symptoms (hanging-wire test) and survival in SOD1G93A mice injected at 60 days of age with TTC, BDNF-TTC, BDNF or empty (positive control) plasmids. Strength and motor function were tested using the rotarod at 15 rpm. Mice were given up to 180 s for the test performance and the time at which mice fell was recorded (*, #, +, P < 0.05; **, ##, P < 0.01; error bars indicate SEM); * for BDNF-TTC vs. positive control comparisons; # for TTC vs. control comparisons; + for BDNF vs. positive control comparisons (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
Spinal motor neuron survival of transgenic SOD1G93A mice under TTC, BDNF and BDNF-TTC treatments. Representative micrographs showing cross-sections of lumbar spinal cords stained with cresyl violet from wild-type, (a) SOD1G93A control (positive control), (b) BDNF-treated, (c) and BDNF-TTC-treated, (d) mice at 16 weeks of age. Bar = 500 μm (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
Apoptotic and survival pathways under TTC, BDNF and BDNF-TTC treatments. (a) Histogram representation of the average number of stained motoneurons per section in L2 and L4 spinal cord segments of wild-type littermates, control SOD1G93A and treated mice (n = 4-5 mice per group). * p < 0.05 vs. wild type; # p < 0.05 vs. SODG93A control mice. (b) Fold-changes in the expression of pro-Casp3 and active Casp3 proteins, (c) Bax and Bcl2 proteins and (d) phosphorylated states of Akt and ERK1/2 proteins in spinal cord lysates of control SOD1G93A animals (white) and animals treated with TTC (grey), BDNF-TTC (blue, BTTC) and BDNF (soft blue). Western blot quantities are shown as the ratios to b-tubulin and then related to age-matched wild-type (black) mice data (*P < 0.05 and **P < 0.01 vs. control SOD1G93A mice; ***p < 0.001; error bars indicate SEM) (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
Additionally, GDNF is another candidate neurotrophic factor for ALS therapy. This factor has been described to show potent trophic effects on proliferation, differentiation and survival of motor neurons
When focusing the study
Improvement in disease clinical outcomes in transgenic SOD1G93A mice under TTC, GDNF and GDNF-TTC treatments. Cumulative probability of the onset of disease symptoms (hanging-wire test) and survival in SOD1G93A mice injected at 60 days of age with TTC, GDNF-TTC, GDNF or empty (positive control) plasmids. Strength and motor function were tested using the rotarod at 15 rpm. Mice were given up to 180 s for the test performance and the time at which mice fell was recorded (*, #, +, P < 0.05; **, ##, P < 0.01; error bars indicate SEM); *GDNF-TTC vs. control comparisons; # TTC vs. control comparisons; + GDNF vs. control comparisons (*,#, +,
Moreover, the recombinant molecule GDNF-TTC and full-length GDNF inhibited apoptotic pathways in spinal cords of SOD1G93A mice by reducing the activation of caspase-3, as well as Bax and Bcl2 protein levels reached a profile expression similar than the one observed in wild type mice, highlighting the fact that treated mice biochemically resemble non-transgenic mice (Figure 10). In addition, all treatment molecules activated the PI3K survival pathway by phosphorylating Akt and ERK1/2, resembling again the wild type levels [79] (Figure 10).
Apoptotic and survival pathways under TTC, GDNF and GDNF-TTC treatments. (a) Fold-changes in the expression of GABA(A) receptor subunit-4 (
Summarizing, albeit a significant improvement in behavioral assays together with an activation of anti-apoptotic and survival pathways under BDNF and GDNF treatments was observed in transgenic SOD1G93A mice, no synergistic effect was found neither using the BDNF-TTC nor GDNF-TTC recombinant molecules. Interestingly, recombinant plasmids BDNF-TTC and GDNF-TTC were detected in skeletal muscle and the corresponding recombinant protein reached the spinal cord tissue of transgenic SOD1G93A mice (Figure 11), reinforcing the carrier properties of TTC.
As a final point, the active state of the neurotrophic factors BDNF and GDNF in the recombinant molecule could suggest that either BDNF or GDNF could exert an autocrine and neuroprotective role together with TTC to a similar extent as TTC alone; however this effect could not be sufficient enough to prompt a synergistic effect. As a consequence, the recombinant molecules could mainly use the same pathway that mimics a neurotrophic secretion route, prompting survival signals in the spinal cord of transgenic SOD1G93A mice [65,79]. Despite all these contributions to the understanding of the neuroprotective properties of recombinant molecules, it is undoubtedly that TTC has open the door to an alternative therapeutic strategy for more neurodegenerative diseases although its molecular pathways is not yet well characterized.
TTC and BDNF detection in skeletal muscle and spinal cord of ALS transgenic SOD1G93A mice. Western blot detection of TTC in spinal cord and skeletal muscle tissues of wild-type (C-, negative control), SOD1G93A transgenic mice injected with empty plasmid (C+, positive control), TTC- and BDNFTTC (BTTC)-treated mice. In TTC and BDNF-TTC treated groups, the detected band was approximately of 50 and ~ 70 KDa respectively (*), using both anti-TTC and anti-BDNF antibodies. In the BDNF group, the dimeric conformation, indicated by arrows, was observed at approximately 40 KDa (Reprinted from Orphanet J. Rare Dis., 6: 10, Calvo AC, Moreno-Igoa M, Mancuso R. et al. Lack of a synergistic effect of a non-viral ALS gene therapy based on BDNF and a TTC fusion molecule, Copyright (2011), [
At present, gene and stem cell therapies are holding the hope for an efficient treatment in ALS. Regarding gene therapy, the possibility of delivering therapeutic molecules to damaged tissues crossing the blood-brain barrier has made possible the study of viral (adenovirus, adeno-associated and lentivirus) and non-viral (fragment C of tetanus toxin) vectors, which are retrogradely transported to motor neurons, in preclinical animal models showing promising neuroprotective effects.
Although therapeutic strategies, which tend to stop or slow down the progression of ALS, are one of the main goals in this field of research, the new property of TTC has opened the door to new non-viral therapeutic strategies in this disease. The fact that TTC as well as the recombinant molecules BDNF-TTC and GDNF-TTC can be transported through motoneurons to induce a later onset of symptoms, improve motoneuron survival and extend the survival of SOD1G93A mice support the fact that the naked DNA-mediated intramuscular delivery of TTC and fusion molecules can promote neuroprotective effects in the SOD1G93A murine model of ALS. The active states of BDNF and GDNF in the recombinant molecules also confirm that these neurotrophic factors could exert an autocrine and neuroprotective role together with TTC to a similar extent as TTC alone, but this effect was not sufficient to enhance the survival signals observed under TTC treatment alone.
Definitively, the neuroprotective role of fragment C has shed light on the understanding of the disease neurodegeneration processes and the study of this promising property of TTC can be extended to other neurodegenerative diseases, such as Parkinson’s disease, Alzheimer’s disease and Spinal Muscular Atrophy (SMN). Essentially, a better understanding of these neurodegenerative diseases will facilitate the translation from animal model to patients to find a definitive therapeutic approach.
This work was supported by from Caja Navarra: “Tú eliges, tú decides”; PI10/0178 from the Fondo de Investigación Sanitaria of Spain; ALS association Nº S54406 and Ministerio de Ciencia e Innovacion INNPACTO IPT-2011-1091-900000.
Transit-Oriented Development (TOD) has been widely considered as a wise approach to make the public transit more attractive. Transit Signal Priority (TSP) is a promising and key tool in support of TOD strategies. The first research about TSP dates back to the 1970s [1]. TSP has evolved, together with its application tested and implemented through the advances in intelligent transportation technologies. TSP is an operational treatment that facilitates the movement of public transit, either busses, tramways, or streetcars, through signalized intersections without the interruption of red signal lights when possible (see Figure 1). It can be an effective strategy for lowering transit vehicle delays at signalized intersections as well as passengers delays, reducing fuel consumption and vehicle emissions, preventing bus-bunching, and significantly enhancing transit reliability which results in transit with lower passenger waiting time and operating costs (smaller transit fleet size).
Transit signal priority framework.
The Transit Capacity and Quality of Service Manual [2] described bus preferential treatments at intersections including transit signal priority, queue jumping, curb extension, and boarding islands. Among the stated transit treatments, TSP has the lowest cost and can easily be implemented in dense urban transportation networks, while other treatments require more capital and physical spaces to be considered. In practice, transit agencies are more interested in making use of limited resources in an efficient manner and TSP could satisfy such needs. However, the impact of TSP will prove more effective with the use of extensive evaluation, ongoing performance monitoring, and adjustment after the initial implementation [3]. By 2015 [4], 109 cities around the world, mostly in North America and Europe, have implemented TSP. However, the majority of attempts used simple and easy-to-implement logics in practice. Portland, Los Angeles, Chicago, and New York City in the United States have been the pioneer cities in implementing TSP in order to enhance their transit system. Various technologies have been deployed for TSP including: the Loopcom System in Los Angeles, CA, the Amtech System in Seattle, WA, the TriMet in Portland, OR, and wireless local area network in Minnesota, MN and in New York City, NY [5, 6, 7].
The goal of all tactics is to grant green time when transit vehicles are approaching intersections, which would offer them shorter delays. To do so, a combination of TSP tactics is given the best result. Thus far, a lot of tactics have been used; most of them are listed below.
There are other transit signal tactics that have been introduced, which in a sense is the combination of the above listed tactics; some of which include: transit phase truncation and queue dissipation [15], early red, flush-and-return [16], expedited return [17, 18], etc.
To better understand how to treat transit differently, diverse types of signal control systems need to be explained. Traffic signal system is one of the most significant parts of transit signal priority application in the emerging system of smart cities. Signals have been designed to control demand so as to improve traffic flow. There have been many developments in signal control systems. In this section, signal control models are categorized into four generations including: fixed time, coordinated-actuated, fully actuated, and adaptive signal control.
The TSP on the fixed time control logic indicates whether the transit is projected to pass through the signal at a green light. If so, no alternative is made; but if the bus is projected to be at the stop line just after the end of green, green extension tactic will extend the green time until the transit vehicle can pass through or before the allowable maximum green. The green time required for an extension is taken from the next phase or other conflicting phases (if there are more than two critical phases). However, if the bus is at the signal while traffic from another approach is being served, the TSP logic truncates the active green phase, after the minimum green of that phase is satisfied. In the fixed-time control logic, applying TSP will reduce bus delay substantially, whereas it may increase the delay of the conflicting phases. Lack of compensation in the fixed time signal control does not allow it to recover from interruptions like TSP. That is part of the reason why many developed models have limited applying TSP over the fixed-time control at every cycle [17].
Applying TSP to coordinated-actuated logic is done by granting green extension to the coordinated/transit phase, early green to the actuated phases (non-coordinated phases), and TSP phase rotation whenever it is needed. As the cycle length is fixed, like the fixed-time control, the granted green extension time is taken from other conflicting phases. Actuated control with absolute priority can result in near zero delay for busses, but it sometimes causes long delays for the general traffic [21].
The use of TSP on top of adaptive signal control was developed by many scholars. TSP applied to SCATS includes green extension, special phase sequences, and compensation to the non-transit phases [34]. Transit priority on TRANSYT-7F benefited bus delay-saving by 6 s/intersection/bus [35]. TSP on UTOPIOA reported a 20 percent increase in the average bus speeds [36]. TSP with SCOOT reached bus delay-savings ranging from 5 to 10 s/signal [35]. Priority on RHODES has also increased traffic speed and reduced average and variance of bus-delay significantly [37, 38]. TSP with self-organizing system result in a very low bus delay [18, 39].
Passive or inactive TSP refers to an initial method of signal priority which adjusts the signal timing offline while relying on the historical data. This adjustment mainly changes signal time parameters including split length, offset, and cycle length. The objective of signal setting with respect to passive TSP is to increase the probability of transit vehicles arriving at the intersection during the green interval. However, passive TSP is inflexible in adapting to the dynamic flow of traffic and bus conditions. The reason is that passive priority always provides a green light to transit even if there is no transit vehicle; not to mention about the delay it would cause to the other conflicting phases by giving ineffective green to the bus-phases. Passive priority becomes more effective when the traffic volume is light or moderate, with high transit frequencies, and predictable transit travel time [40]. Passive priority is cheap and easy-to-implement; both are advantages, since the transit detection and communication equipment are not required. It is worth noting here that preemption priority applies priority tactics abruptly. This is sometimes done by interrupting signal operation by skipping phases or terminating pedestrian clearance time, in order to permit a specific vehicle (e.g. ambulance) pass through the traffic light. Preemption can be considered as the highest level of priority, which is frequently used for emergency vehicles [41].
Contrary to passive priority, active TSP is about granting priority tactics in real time and only to those transit vehicles that are present or about to approach the signalized intersections. In an active priority system, the real-time information regarding transit vehicles’ speed and location should be detected. Some standard vehicle/bus detection techniques are inductive loops, infrared, and radio based systems which are considered as static detection or selective vehicle detection (SVD) [42, 43]. On the other hand, the automatic vehicle location (AVL) system is another transit detection approach that provides dynamic monitoring of transit location. Taking into account the use of detectors, TSP logic is activated when the transit vehicle passes the check-in detector, which is located upstream of the signal. Where to put the check-in detector is not deterministic and its optimal location is mostly related to traffic demand, and signal timing. The result demonstrated that putting a detector between 450 ft. (150 m) and 900 ft. (300 m) upstream of the intersection can output better results [43]. Meanwhile, the detection should cancel out the priority request when transit passes the stop-line detectors (check-out detectors). Those are located just after the traffic light, indicating the transit vehicle received priority, could pass through, and it is the time to start compensating the amount of time taken from the conflicting phases. Active TSP has been demonstrated as a better approach to improve transit performance, to better accommodate uncertain arrival time, and make on-street transit more reliable, faster, and cost-effective [42, 44]. Active TSP has been taken into consideration worldwide. For instance, applying active signal priority was studied on the two old and large street-car systems in Melbourne, Australia, and Toronto, Canada [45]. The results confirmed that such an approach is a cost-effective approach to manage traffic systems.
Song et al. [46] compared the GPS-based TSP and traditional TSP on two corridors in Utah, and it was found that GPS-based TSP reduced the same delay and travel time similarly to the traditional TSP. Surprisingly, the GPS-based signal priority system was effective in the flexible detection zone and could bring conditional priority into its logic while causing smaller impact on the side-street traffic. Active priority has recently focused its attention not only on the presence of transit vehicles, but rather on applying priority logic based on some conditions.
Unconditional priority means granting TSP tactics to the upcoming transit vehicles regardless of cross-street traffic or queue length, state of signal, or transit arrival time. It is more of an aggressive approach toward granting priority. In other words, unconditional priority is beneficial in improving bus delays, travel time, and reliability when the bus frequency is low, and when the traffic demand over signal is low. On the other hand, conditional priority grants transit signal priority only if the state of signal and bus arrival meet some defined requirements. For instance, conditional TSP can be applied if some of the following criteria are met: transit is behind schedule (e.g. let us say 5 min behind as being late), transit passenger-occupancy is more than a defined threshold, the intersection is under saturated level, no queue spillback is happening, the signal did not have a priority request in the previous cycle, etc. It is more complicated than the unconditional priority because it needs more updated information about transit and intersections. Conditional priority will improve bus headway irregularity, crowding, and mean running time to almost the same levels as what absolute TSP. More importantly, conditional TSP makes transit running time less varied (less standard deviation of running time), which indeed improves the reliability of transit scheduling service. The performance of conditional TSP was studied and found that it is more effective for bus routes experiencing more severe lateness [47, 48, 49]. Meanwhile, person-based signal priority approach has been recently introduced optimizes signals and applies conditional transit priority based on transit and vehicle passenger-occupancy conditions [50].
Predictive transit priority approaches give more flexibility to the controlling logic to enlarge the scope of signal timing to adjust itself more ahead of the transit arrival time and makes less adverse impact on the conflicting traffic. An accurate transit prediction can be a hint to passengers’ departure time from point to point, so as to create more successful transfers at stops. It helps transit agencies to control and monitor their systems with more responsiveness through real time dispatching and scheduling, and making the transportation system a more resilient one. However, there are many parameters involved in the prediction of transit travel time, some of which are listed by [51] including: stochastic traffic flow uncertainties along the route, queue length in front of a traffic light, route length, uncertainties in dwell time (caused by the variation of passengers getting on and off at bus stops), weather conditions, times of day, statistical fluctuation in historical data (with large standard deviation), and GPS data error.
Uncertainty in transit running time and dwell time is mostly pronounced and has been conducted by many scholars who have been developing predictive transit arrival models. Bus dwell time itself consists of passenger boarding and alighting time, door opening and closing time, and clearance time. Hence, predicting the dwell time is cumbersome and a good prediction of transit dwell time, specifically when there is a nearside bus stop, increases the precision of transit arrival time at the target intersection. One of the primary studies about dwell time prediction at nearside bus stops was presented by Kim and Rilett [52]. They used a regression model to come up with an upper and lower bound for dwell time with respect to the bus load, headway, and schedule adherence. Such prediction was included in the improved TSP algorithm which then was applied over a fixed-time signal control. It benefited the operation of bus systems well. Lee et al. [15] developed a predictive model for dwell time at a nearside bus stop, based on headway and passenger arrival rate. Ekeila et al. [53] presented a linear regression and applied empirical Bayesian and Kalman filtering refinement to improve the prediction performance. The developed model, applied to LRT’s arrival time (including running time and dwell time) to predict its boundary length, was one standard deviation from its arrival time.
Some researchers have attempted to predict the transit arrival time further ahead of the target signalized intersection. Their focuses were mostly on the prediction of the transit travel time (running time) together with the dwell time consideration. Zlatokovic et al. [54] developed predictive priority for LRT in Salt Lake City, Utah which could reduce train travel time by 20–30%. The logic used almost all TSP tactics along with peer-to-peer communication between intersections. With the peer-to-peer communications, the logic activated priority when the train was stopped at the adjacent intersection, pointing to the target intersection to be prepared for the arriving train. Wadjas and Furth [55] used advanced detectors in order to detect the light-rail’s arrival more ahead of the target intersection. Once the transit is detected, the logic applies the cycle length adaptation which lengthens or shortens the cycles/phases in such a way as to find the best match aligned with the TSP tactics. The logic applied to the signals with the fully actuated control. They found that the logic functioned better in enhancing transit travel time and regularity compared to the simple preemption, with a negligible impact on general vehicular traffic and pedestrians. Moghimi et al. [18] developed a model that calculates the expected remaining dwell time, added to the adaptive bus running time estimation, at each time-step of the simulation in order to predict the bus arrival time. Their presented model reduced bus net delay to less than 5 seconds per intersection. Moghimi et al. [56] also developed a look-ahead TSP to include a longer range of prediction in order to provide transit priority far in advanced. Their presented model outperformed the conventional TSP model and improved the reliability of travel time significantly.
Some of the advanced TSPs are based on the wireless communications using Global Positioning System (GPS). These systems only report instantaneous vehicle location data. Also, with the advances in emerging technologies, vehicles can communicate with each other (V2V) and with the infrastructure (V2I), through 5.9 GHz dedicated short-range communication (DSRC). Using this technology, each vehicle is equipped with an on-board unit (OBU) that broadcasts the vehicle speed, and acceleration at 10 times a second. A road side unit (RSU) is installed at the intersection to broadcast traffic signal status and also intersection geometry maps. The RSU can receive messages from surrounding vehicles and can provide better traffic resolution.
As soon as a transit vehicle enters the Dedicated Short-Range Communication (DSRC) range of intersection, it receives the map of the intersection and determines its location. Then, it broadcasts a request message and asks for priority. The RSU at the intersection receives the request and provides treatment. If the vehicle’s speed changes dramatically, (e.g. the vehicle joins a queue) or if the transit vehicle stops at the bus stop, an updated request is broadcasted. The updated request is received by RSU and proper actions are planned. Connected vehicle technology can provide countable data because it updates vehicle dynamical traffic-related information like speed, acceleration, location, and other vehicle data in real time [57]. Such technology also provides the information about passenger counts (sitting/standing on transit) and at stops which can be transmitted to the signal controller in real time which makes dwell time prediction more accurate.
Hu et al. [5] used TSP with connected vehicles (TSP-CV) technology and compared their logic with conventional TSP and no-TSP scenarios. Results reported that the proposed logic reduced bus delay between 9–84% as compared to conventional TSP, as well as outperforming the no-TSP scenario. Meanwhile, it was shown that as volume-to-capacity ration increases (approaching to v/c equal to 1), the difference between TSP using connected vehicle and conventional TSP decreases. Hu et al. [58] continued their studies on conditional TSP-CV and proposed a person-based optimization method along with recommending a desired speed to the bus. The conditional logic was applied only to busses that are behind schedule and it was tested on two closely spaced intersections with fixed-time control. The results revealed that conditional TSP-CV performed better, specifically when the v/c is under saturated, and again it was found that as demand increases, when it approaches capacity, the benefit of TSP decreases. Lee et al. [59] tested the application of TSP in connected vehicle technology over a smart road test bed in Blacksburg, Virginia. The experiment results confirmed that the TSP-CV logic provided bus green extension with a 100% success rate, together with reducing bus delay between 32 to 75% as compared to No TSP scenario.
In transportation systems, there are many users at signalized intersections that consist of passenger cars, commercial vehicles, busses, streetcars, emergency vehicles, snowplows, bikes, and pedestrians. The idea of providing TSP is not just to prioritize public transit but making other modes of transportation remain relevant in any developed TSP system. The conventional traffic controlling system treats all vehicles of different class/mode as an aggregate flow of traffic into a signal flow. This approach does not adequately consider each mode based on weight per se and is not well-aligned with the system operating objective [60]. On the other hand, treating each mode separately would result in a sub-optimal system performance [61]. The better manner of treatment is to come up with an algorithm that can consider all traffic modes based on their weight in order to reach the overall objective function. Recently, many new researchers have been developing algorithms that can better quantify such objective function including all modes and then make the TSP algorithm more holistic.
He et al. [62] formulated a mixed integer linear program (MILP) for robust multiple priority requests with different modes including busses, pedestrians, and cars. The mixed-integer nonlinear program was used by Christofa and Skabardonis [63] to minimize total person delays, while assigning priority to transit based on the passenger occupancy. It is true that at one signalized intersection, pedestrian is a dominant mode, at another one, bus or truck is a dominant mode. Hence, a better approach would be to make the signals friendly with respect to the relative importance of each signal. Zamanipour et al. [64] developed a new approach that capture a relative importance of each section of the traffic signal and then establish a priority policy for that. They enhanced the work done by [62] and used such a flexible implementation algorithm that considers real time actuation on top of the MILP [60]. The developed model was designed to be utilized under a connected vehicle environment and was tested in San Mateo, California and Anthem, Arizona to confirm the better performance of the multimodal control over the fully actuated control. Later, Beak et al. [65] improved the MILP model to consider peer-to-peer signal priority control in a corridor. They designed a signal priority control framework to address the limitation of the effective range of DSRC and the extent of the intersection map message.
In today’s complex transit network, multiple priority requests at intersections occur frequently. Although applying a first-come-first-serve policy is a widely acceptable approach in many cities, it cannot be the best option and sometimes can perform worse compared to providing no priority [66]. Therefore, some scholars tried to challenge this approach and take better advantage of priority logic to make it more beneficial in terms of minimizing total transit delay. Head et al. [67] developed a mixed integer programming for multiple-priority requests problems based on a precedence graph. Their findings demonstrated that their model performed better in minimizing total priority delay compared to the first-come-first-serve policy. He et al. [68] developed a fast heuristic algorithm to provide priority to simultaneous multiple requests in real time using V2I communication. Ma and Bai [69] proposed a decision tree for optimizing TSP-requests sequence. Ma et al. [70] used a dynamic programming model to generate an optimal sequence for the conflicting requests.
Another approach being mentioned in the literature relates to providing facilities with exclusive or dedicated bus lanes and giving transits/busses exclusive right of way. The advantage of dedicated/dedicated bus lanes is to free busses from traffic interference and benefit transit operation. However, taking a lane from general traffic and assigning it to transit may increase general traffic travel time, specifically when congestion is high [71, 72]. Eicher and Daganzo [73] proposed a bus lane with intermittent priority which allows general traffic to use the dedicated bus lane dynamically when it is not used by busses. Their idea is applicable on bus route with low frequencies. Indeed, TSP associated with exclusive bus lane [13, 74] and TSP with intermittent priority [75] revealed improvement in bus travel time and its reliability. An example of a transit system with dedicated lane is bus rapid transit (BRT), which is an integrated system of facilities that plays a significant role in today’s urban transportation and can reasonably improve bus speed, travel time, reliability, as well as serving as a catalyst for redevelopment [76]. TSP with BRT can produce significant enhancement, because in such a system, TSP can be applied to any time without being worried about queue length ahead of the transit [77]. In addition, simulation results demonstrate that applying TSP with BRT was the most effective scenario in reducing travel times (up to 26%) and delays (up to 64%), as well as increasing bus speed (up to 47%), when it was compared to scenarios without TSP and BRT [78].
The location of bus stops along the corridor is frequently under discussion and their placement depends on the traffic demand, geometry, and policy constraints. Bus stop locations can be far-side, near-side, or mid-block. With regard to the stop setback, the near-side bus stop can change into midblock or far-side bus stop as the setback distance increases. A far-side bus stop is mostly better than a near-side bus stop [14, 79, 80]. It can either cause a very low delay or zero net-delay, whereas a near-side bus stop can reduce a delay in a few cases like reserved bus lane, but it will cause increased bus delay depending on factors like cycle length, red ratio, dwell time, and stop setback distance [79]. Cesme et al. [14] compared three main transit preferential treatments including queue jump lane, transit signal priority, and stop location evaluation over an isolated test-intersection with a fixed cycle length, and bus headway of six minutes. After extensive simulation runs under various scenarios, the results indicated that relocating the bus stop from near-side to far-side resulted in the most delay-reduction per intersection when it was compared to the two other scenarios. Results showed that a far-side bus stop was superior to the near-side one with zero setback distance. Far-side relocation’s delay-saving became smaller as the dwell time at the near-side stop increased. This can be interpreted as the signal’s red time and dwell time have a lot of overlap. Bus delay with near-side stops can be reduced by lowering vehicular queue interaction through increasing setback distance or decreasing signal cycle length [14, 80].
In this chapter a comprehensive literature review of transit signal priority models was presented. The review was classified into various categories including:
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After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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Community- and research-based conservation mechanisms could be an appropriate approach for mitigating the problems pertinent to the loss of medicinal plants and their habitats and for documenting medicinal plants. Chromatography; electrophoretic, macroscopic, and microscopic techniques; and pharmaceutical practice are mainly used for quality control of herbal medicines.",book:{id:"8502",slug:"plant-science-structure-anatomy-and-physiology-in-plants-cultured-in-vivo-and-in-vitro",title:"Plant Science",fullTitle:"Plant Science - Structure, Anatomy and Physiology in Plants Cultured in Vivo and in Vitro"},signatures:"Admasu Moges and Yohannes Moges",authors:[{id:"249746",title:"Ph.D.",name:"Admasu",middleName:null,surname:"Moges",slug:"admasu-moges",fullName:"Admasu Moges"},{id:"297761",title:"MSc.",name:"Yohannes",middleName:null,surname:"Moges",slug:"yohannes-moges",fullName:"Yohannes Moges"}]},{id:"70658",title:"Factors Affecting Yield of Crops",slug:"factors-affecting-yield-of-crops",totalDownloads:4150,totalCrossrefCites:31,totalDimensionsCites:45,abstract:"A good understanding of dynamics involved in food production is critical for the improvement of food security. It has been demonstrated that an increase in crop yields significantly reduces poverty. Yield, the mass of harvest crop product in a specific area, is influenced by several factors. These factors are grouped in three basic categories known as technological (agricultural practices, managerial decision, etc.), biological (diseases, insects, pests, weeds) and environmental (climatic condition, soil fertility, topography, water quality, etc.). These factors account for yield differences from one region to another worldwide. The current chapter will discuss each of these three basic factors as well as providing some recommendations for overcoming them. In addition, it will provide the importance of climate-smart agriculture in the increase of crop yields while facilitating the achievement of crop production in safe environment. This goes in line with the second goal of 2030 Agenda for Sustainable Development of United Nations in transforming our world formulated as end hunger, achieve food security, improve nutrition and promote sustainable agriculture.",book:{id:"8153",slug:"agronomy-climate-change-food-security",title:"Agronomy",fullTitle:"Agronomy - Climate Change & Food Security"},signatures:"Tandzi Ngoune Liliane and Mutengwa Shelton Charles",authors:[{id:"313819",title:"Dr.",name:"Liliane",middleName:null,surname:"Tandzi",slug:"liliane-tandzi",fullName:"Liliane Tandzi"},{id:"314316",title:"Prof.",name:"Charles Shelton",middleName:null,surname:"Mutengwa",slug:"charles-shelton-mutengwa",fullName:"Charles Shelton Mutengwa"}]},{id:"59402",title:"Robotic Harvesting of Fruiting Vegetables: A Simulation Approach in V-REP, ROS and MATLAB",slug:"robotic-harvesting-of-fruiting-vegetables-a-simulation-approach-in-v-rep-ros-and-matlab",totalDownloads:2813,totalCrossrefCites:8,totalDimensionsCites:9,abstract:"In modern agriculture, there is a high demand to move from tedious manual harvesting to a continuously automated operation. This chapter reports on designing a simulation and control platform in V-REP, ROS, and MATLAB for experimenting with sensors and manipulators in robotic harvesting of sweet pepper. The objective was to provide a completely simulated environment for improvement of visual servoing task through easy testing and debugging of control algorithms with zero damage risk to the real robot and to the actual equipment. A simulated workspace, including an exact replica of different robot manipulators, sensing mechanisms, and sweet pepper plant, and fruit system was created in V-REP. Image moment method visual servoing with eye-in-hand configuration was implemented in MATLAB, and was tested on four robotic platforms including Fanuc LR Mate 200iD, NOVABOT, multiple linear actuators, and multiple SCARA arms. Data from simulation experiments were used as inputs of the control algorithm in MATLAB, whose outputs were sent back to the simulated workspace and to the actual robots. ROS was used for exchanging data between the simulated environment and the real workspace via its publish-and-subscribe architecture. Results provided a framework for experimenting with different sensing and acting scenarios, and verified the performance functionality of the simulator.",book:{id:"6265",slug:"automation-in-agriculture-securing-food-supplies-for-future-generations",title:"Automation in Agriculture",fullTitle:"Automation in Agriculture - Securing Food Supplies for Future Generations"},signatures:"Redmond R. Shamshiri, Ibrahim A. Hameed, Manoj Karkee and\nCornelia Weltzien",authors:[{id:"182449",title:"Prof.",name:"Ibrahim",middleName:"A.",surname:"Hameed",slug:"ibrahim-hameed",fullName:"Ibrahim Hameed"},{id:"203413",title:"Dr.",name:"Redmond R.",middleName:null,surname:"Shamshiri",slug:"redmond-r.-shamshiri",fullName:"Redmond R. Shamshiri"},{id:"241193",title:"Dr.",name:"Manoj",middleName:null,surname:"Karkee",slug:"manoj-karkee",fullName:"Manoj Karkee"},{id:"241194",title:"Dr.",name:"Cornelia",middleName:null,surname:"Weltzien",slug:"cornelia-weltzien",fullName:"Cornelia Weltzien"}]}],onlineFirstChaptersFilter:{topicId:"5",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82757",title:"Seed Dormancy: Induction, Maintenance and Seed Technology Approaches to Break Dormancy",slug:"seed-dormancy-induction-maintenance-and-seed-technology-approaches-to-break-dormancy",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.106153",abstract:"Dormancy is the major cause of erratic germination, patchy emergence and uneven seedling establishment in the field. These traits are exceedingly undesirable in crop production as future phases of growth and development are strongly linked to uniform seedling development at early growth phases. Variations in maturation time, and difficulty in managing abiotic and biotic stresses during pre- and postharvest are common consequences of uneven germination and seedling emergence. Minimizing this negative impact of dormancy in a seed lot is the major concern of all seed production companies. Generally, mature seeds show some considerable dormancy during which embryo growth is halted momentarily because one or more internal and external stimuli for growth resumption is/are absent. If the inhibition of seed germination is solely due to insufficient or complete absence of external signals, then the seed is in a state of quiescence. Otherwise, if linked to internal factors, then the seed is in a state of dormancy. Induction, maintenance, and release of dormancy are therefore related to Seed-dependent factors such as morphology, hormones, state of embryo maturity at seed dispersal and chemical inhibitors. This chapter focuses on species-dependent methods currently used to break dormancy, reduce germination time and improve emergence and seedling establishment.",book:{id:"11322",title:"Seed Biology Updates",coverURL:"https://cdn.intechopen.com/books/images_new/11322.jpg"},signatures:"Tabi Kingsley Mbi, Ntsomboh Godswill Ntsefong and Tatah Eugene Lenzemo"},{id:"79168",title:"Pulses: A Potential Source of Valuable Protein for Human Diet",slug:"pulses-a-potential-source-of-valuable-protein-for-human-diet",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.99980",abstract:"Nutritional profile of pulses has significant importance in human diet with respect to protein and mineral quality and bioavailability. Protein energy malnutrition is widespread throughout the world especially among the developing countries. Pulses being rich in macronutrients such as protein from 20 to 26% and low in calories are most suitable for product development for target-oriented population. During last decade, the demand for pulse-based products with high protein and fiber, low glycemic index, and gluten free with more antioxidant showed increasing trend by the consumers. Drift of end-use application of pulses generated interest for research in all disciplines such as breeding, agronomy, food, and nutrition, etc. A great share of plant protein in human diet may be a critical step for reducing dependence on animal origin protein source. This chapter will review contribution or choice of plant-based protein from legumes or pulses with good-quality protein based on amino acid composition. Additionally, this overview can give insight into the development of new product with balanced nutritional quality and high protein contents as a potential protein supply for malnourished population.",book:{id:"12236",title:"Legumes Research- Volume 2",coverURL:"https://cdn.intechopen.com/books/images_new/12236.jpg"},signatures:"Saima Parveen, Amina Jamil, Imran Pasha and Farah Ahmad"},{id:"83012",title:"Cotton Based Cellulose Nanocomposites: Synthesis and Application",slug:"cotton-based-cellulose-nanocomposites-synthesis-and-application",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.106473",abstract:"Nanocellulose is a renewable natural biomaterial which has risen to prominence due to its biodegradability and physiochemical properties making it a promising candidate to replace non-biodegradable synthetic fibers. Due to its profound qualities, nanocellulose extracted from cotton fibers have tremendous application potential and have been intensively studied particularly in the generation of nanofillers and as reinforcement components in polymer matrixes. Deposition of inorganic nanoparticles on cotton fabric result in antimicrobial textiles with multifunctional use particularly in manufacture of PPE and as filtration devices against environmental pollutants and pathogens. This chapter compiles three main sections. The first section gives an overview of the extent of work done in the creation and application potential of cotton-based nanocomposites. The second section describes the in situ and ex situ methods of nanoparticle deposition and self assembly on cotton fabrics to generate multifunctional cotton-based nanocomposites with antimicrobial potential while the final section describes the incorporation of cotton nanofibers in polymer matrices, their reinforcing properties, as well as surface modification to assist their incorporation. Finally in the conclusion, a summary of the up-to-date challenges and progresses is presented postulating the undiscovered arenas and future undertakings of this venture.",book:{id:"11362",title:"Cotton",coverURL:"https://cdn.intechopen.com/books/images_new/11362.jpg"},signatures:"Patricia Jayshree Samuel Jacob"},{id:"82476",title:"Joint Action of Herbicides on Weeds and Their Risk Assessment on Earthworm (Eisenia fetida L.)",slug:"joint-action-of-herbicides-on-weeds-and-their-risk-assessment-on-earthworm-eisenia-fetida-l",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.105462",abstract:"Frequent and intensive use of similar modes of action herbicides increases selection pressure resulting in nature adapt and a number of herbicide-resistant weeds. The most effective methods to prevent and delay herbicide-resistant weeds are herbicide tank mixture and adjuvant mixed herbicides. This chapter intends to explain the advantages of herbicide tank mixture and adjuvant mixed herbicides. In addition, the models of estimated herbicide mixture interaction response have been explained. Although herbicide mixtures have benefits, they may present risks leading to soil pollution and affecting soil fauna such as earthworms. Therefore, we discussed the negative effect of mixture herbicides on Eisenia fetida. On the other hand, various models to calculate mixture herbicide toxicity on earthworms will be present in this chapter.",book:{id:"11610",title:"New Insights in Herbicide Science",coverURL:"https://cdn.intechopen.com/books/images_new/11610.jpg"},signatures:"Mohammad Taghi Alebrahim, Elham Samadi Kalkhoran and Te-Ming Paul Tseng"},{id:"82937",title:"Abiotic Stress in Plants",slug:"abiotic-stress-in-plants-1",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.105944",abstract:"Stress in plants refers to external conditions, which drastically affect the growth, development, or productivity of plants. Stress triggers a wide range of plant responses, such as altered gene expression, cellular metabolism, changes in growth rates, and crop yields. Some abiotic stresses, such as low or high temperature, deficient water, and ultraviolet radiation, make plant growth and development unfavorable, leading to a fall in crop yield worldwide. The following writeup incorporated the abiotic stress factors related to the growth and development of plants, such as temperature, drought, heat, cold, and many more. Abiotic stress factors are the nonliving factors influencing the metabolism, growth, and development of the plant tissues at that particular time when such abiotic stress affects them. As a result of such abiotic stresses, the plants have generated many stress tolerance factors. Various stress-responsive genes are thus being formulated in response to the abiotic stresses, so the plants can survive even in such extreme conditions as well. Henceforth, it can be concluded that the abiotic stress factors imposed on the plants adversely impact their growth and developmental procedures, and at the same time, they also produce some stress tolerance factors to minimize the damage.",book:{id:"11330",title:"Plant Response Mechanisms to Abiotic Stresses",coverURL:"https://cdn.intechopen.com/books/images_new/11330.jpg"},signatures:"Shubham Dey and Ayan Raichaudhuri"},{id:"82943",title:"Laboratory Diagnosis of Candidiasis",slug:"laboratory-diagnosis-of-candidiasis",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.106359",abstract:"The burden of Candidiasis continues to increase and so does the Candida species. Although Candida species are closely similar phenotypically, they differ from each other in terms of epidemiology, genetic characteristics, antifungal susceptibility and virulence profile. Therefore, reliable and accurate laboratory methods for identification of Candida species can determine the Candidiasis burden and enable the administration of the most appropriate antifungal drug therapy to reduce fungal mortality rates. Conventional and biochemical methods are often used in identification of Candida species. However, these techniques are specific and sensitive enough in detecting the non albicans candida (NAC) species. Molecular techniques have improved the laboratory diagnosis and management of Candidiasis due to improved sensitivity and specificity threshold. This chapter provides an overview of different laboratory methods for diagnosis of Candidiasis.",book:{id:"11608",title:"Candida and Candidiasis",coverURL:"https://cdn.intechopen.com/books/images_new/11608.jpg"},signatures:"Benson Musinguzi, Obondo J. 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The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:"2753-6580",scope:"\r\n\tGlobally, the ecological footprint is growing at a faster rate than GDP. This phenomenon has been studied by scientists for many years. However, clear strategies and actions are needed now more than ever. Every day, humanity, from individuals to businesses (public and private) and governments, are called to change their mindset in order to pursue a virtuous combination for sustainable development. Reasoning in a sustainable way entails, first and foremost, managing the available resources efficiently and strategically, whether they are natural, financial, human or relational. In this way, value is generated by contributing to the growth, improvement and socio-economic development of the communities and of all the players that make up its value chain. In the coming decades, we will need to be able to transition from a society in which economic well-being and health are measured by the growth of production and material consumption, to a society in which we live better while consuming less. In this context, digitization has the potential to disrupt processes, with significant implications for the environment and sustainable development. 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",coverUrl:"https://cdn.intechopen.com/series_topics/covers/91.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11975,editor:{id:"181603",title:"Dr.",name:"Antonella",middleName:null,surname:"Petrillo",slug:"antonella-petrillo",fullName:"Antonella Petrillo",profilePictureURL:"https://mts.intechopen.com/storage/users/181603/images/system/181603.jpg",biography:"Antonella Petrillo, Ph.D., is a professor in the Department of Engineering, University of Naples “Parthenope,” Italy. She received her Ph.D. in Mechanical Engineering from the University of Cassino and Southern Lazio, Italy. Her research interests include multi-criteria decision analysis, industrial plants, logistics, manufacturing, and safety. She serves as an associate editor for the International Journal of the Analytic Hierarchy Process and is an editorial board member for several other journals. She is also a member of the Analytic Hierarchy Process (AHP) Academy.",institutionString:"Parthenope University of Naples",institution:{name:"Parthenope University of Naples",institutionURL:null,country:{name:"Italy"}}},editorTwo:null,editorThree:null,series:{id:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:"2753-6580"},editorialBoard:[{id:"179628",title:"Prof.",name:"Dima",middleName:null,surname:"Jamali",slug:"dima-jamali",fullName:"Dima Jamali",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSAIlQAO/Profile_Picture_2022-03-07T08:52:23.jpg",institutionString:null,institution:{name:"University of Sharjah",institutionURL:null,country:{name:"United Arab Emirates"}}},{id:"170206",title:"Prof.",name:"Dr. Orhan",middleName:null,surname:"Özçatalbaş",slug:"dr.-orhan-ozcatalbas",fullName:"Dr. Orhan Özçatalbaş",profilePictureURL:"https://mts.intechopen.com/storage/users/170206/images/system/170206.png",institutionString:null,institution:{name:"Akdeniz University",institutionURL:null,country:{name:"Turkey"}}},{id:"250347",title:"Associate Prof.",name:"Isaac",middleName:null,surname:"Oluwatayo",slug:"isaac-oluwatayo",fullName:"Isaac Oluwatayo",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRVIVQA4/Profile_Picture_2022-03-17T13:25:32.jpg",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},{id:"141386",title:"Prof.",name:"Jesús",middleName:null,surname:"López-Rodríguez",slug:"jesus-lopez-rodriguez",fullName:"Jesús López-Rodríguez",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRBNIQA4/Profile_Picture_2022-03-21T08:24:16.jpg",institutionString:null,institution:{name:"University of A Coruña",institutionURL:null,country:{name:"Spain"}}},{id:"208657",title:"Dr.",name:"Mara",middleName:null,surname:"Del Baldo",slug:"mara-del-baldo",fullName:"Mara Del Baldo",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRLMUQA4/Profile_Picture_2022-05-18T08:19:24.png",institutionString:"University of Urbino Carlo Bo",institution:{name:"University of Urbino",institutionURL:null,country:{name:"Italy"}}}]},onlineFirstChapters:{paginationCount:7,paginationItems:[{id:"82777",title:"Sustainability and Social Investment: Community Microhydropower Systems in the Dominican Republic",doi:"10.5772/intechopen.105995",signatures:"Michela Izzo, Alberto Sánchez and Rafael Fonseca",slug:"sustainability-and-social-investment-community-microhydropower-systems-in-the-dominican-republic",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Globalization and Sustainability - Recent Advances, New Perspectives and Emerging Issues",coverURL:"https://cdn.intechopen.com/books/images_new/11476.jpg",subseries:{id:"91",title:"Sustainable Economy and Fair Society"}}},{id:"82387",title:"Kept Promises? 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