\\n\\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\\n\\n\\n\\n\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\nInitially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\nThese books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\n\n\n\n\n'}],latestNews:[{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"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"2763",leadTitle:null,fullTitle:"Gasification for Practical Applications",title:"Gasification for Practical Applications",subtitle:null,reviewType:"peer-reviewed",abstract:"Although there were many books and papers that deal with gasification, there has been only a few practical book explaining the technology in actual application and the market situation in reality.\nGasification is a key technology in converting coal, biomass, and wastes to useful high-value products. Until renewable energy can provide affordable energy hopefully by the year 2030, gasification can bridge the transition period by providing the clean liquid fuels, gas, and chemicals from the low grade feedstock.\nGasification still needs many upgrades and technology breakthroughs. It remains in the niche market, not fully competitive in the major market of electricity generation, chemicals, and liquid fuels that are supplied from relatively cheap fossil fuels.\nThe book provides the practical information for researchers and graduate students who want to review the current situation, to upgrade, and to bring in a new idea to the conventional gasification technologies.",isbn:null,printIsbn:"978-953-51-0818-4",pdfIsbn:"978-953-51-6256-8",doi:"10.5772/3132",price:139,priceEur:155,priceUsd:179,slug:"gasification-for-practical-applications",numberOfPages:352,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"e576b2a136c1c20c784302344c65448e",bookSignature:"Yongseung Yun",publishedDate:"October 24th 2012",coverURL:"https://cdn.intechopen.com/books/images_new/2763.jpg",numberOfDownloads:67084,numberOfWosCitations:77,numberOfCrossrefCitations:48,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:108,numberOfDimensionsCitationsByBook:2,hasAltmetrics:1,numberOfTotalCitations:233,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"December 1st 2011",dateEndSecondStepPublish:"December 22nd 2011",dateEndThirdStepPublish:"March 27th 2012",dateEndFourthStepPublish:"June 25th 2012",dateEndFifthStepPublish:"July 25th 2012",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"144925",title:"Dr.",name:"Yongseung",middleName:null,surname:"Yun",slug:"yongseung-yun",fullName:"Yongseung Yun",profilePictureURL:"https://mts.intechopen.com/storage/users/144925/images/system/144925.jpg",biography:"Dr. Yongseung Yun majored in Chemical Engineering and received his Ph.D. degree at the University of Utah, USA, in 1990. He obtained his M.A. from KAIST, Korea, in 1981 and his B.A. from the Yonsei University, Korea, in 1979. He currently works as vice president at the Institute for Advanced Engineering in Korea.\nHe has been working on gasification technology development since 1994, starting from coal gasification to municipal solid wastes gasification, and petroleum coke gasification. He currently heads the 25 ton/day gasification project in Korea to produce blue hydrogen. He has worked as the president of KAWET from 2013 to 2019 and has been the vice president of the Korea DME Association since 2008. 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\r\n\tThis book “Bacterial Biofilms” will aim to describe both negative and positive impacts of bacterial biofilms in the medical and environmental arena. This book is dispensed into different chapters that describe the role of bacteria in human day-to-day life. The content of this book will be written in a simple scientific language that would accommodate and enlighten audiences from different scientific backgrounds not limited to scientists, higher degree and undergraduate research students in the field of environmental microbiology, infectious diseases, immunologist, pharmacist, medical practitioner, and school students. Bacteria that prefer to exist in colonized forms i.e., in biofilm state have been responsible for detrimental effects on humans, animals, birds, and plant's health in terms of biofilm-associated infections and morbidity, and mortality. The problem of biofilm-associated infection is drastic in lower- and middle-income countries in comparison to developed countries. One big aspect of biofilms is its resistance to antibiotics and antibacterial agents that constitutes collapse of the healthcare system and hindrance of global economic development. On the other hand, biofilms are essential and have been promising in terms of bioremediation of organic pollutants, water purification system, and great acquaintance in the extraction of mineral ores in the mining industry.
",isbn:"978-1-80355-796-0",printIsbn:"978-1-80355-795-3",pdfIsbn:"978-1-80355-797-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"e33c0f1032b2a0f72bdf921c0b8a3fea",bookSignature:"Dr. Theerthankar Das",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11092.jpg",keywords:"Infection, Antibiotic Resistance, Treatment, Microbial Remediation, Health and Economic Catastrophic, Bacterial Biofilms, Medical Impacts, Environmental Impacts, Healthcare, Water Purification System, Mining Industry, Minerals",numberOfDownloads:166,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 26th 2021",dateEndSecondStepPublish:"November 23rd 2021",dateEndThirdStepPublish:"January 22nd 2022",dateEndFourthStepPublish:"April 12th 2022",dateEndFifthStepPublish:"June 11th 2022",remainingDaysToSecondStep:"6 months",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:"A pioneering researcher in bacterial biofilms, University of Sydney Research Fellow, published numerous scientific articles, book chapters, book editions in relates to bacterial biofilm and infection. 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Although it was first identified in plants in the late nineteenth century, only in 1950 was it first identified in fresh extracts of animal brain including reptiles, avian, mammals and man [1]. It is now accepted that GABA is present almost exclusively within the brain and retina of vertebrates and only in extremely limited amounts in the peripheral nervous system and other organs of the body. It has been estimated that within the CNS, GABA is the neurotransmitter for as many as one-third of the neurons with the majority of these cells as interneurons that modulate the activity of neural networks. GABA neurons are widely expressed throughout the CNS including the cerebral cortex, hippocampus, striatum, substantia nigra, globus pallidus, cerebellum and olfactory bulbs. Within the structures, GABA receptors are found not only on the cell membranes of neurons but on supporting glial tissue and astrocytes [2].
As an amino acid, GABA serves other biological roles in addition to that of a neurotransmitter. It also functions as a precursor for the assembly of proteins and as metabolic intermediary. Despite these multiple functions, GABA is also responsible for regulation of neuronal excitability and is the primary inhibitory messenger in the CNS. GABA is highly concentrated in the CNS and present in millimoles per gram in the brain compared to nanomoles per gram of the more more commonly recognized neurotransmitters including dopamine, 5-hydroxytryptamine (serotonin) and norepinephrine [3].
GABA is known to have affinity for two distinct families of receptors similar to the excitatory amino acid Glutamate. The first and most prevalent of the two in the brain is the ionotropic GABAA receptor, a large glycoprotein of ~275 kDa and consists of a pentameric transmembrane receptor typically including two α subunits, two β subunits and one γ. Variations frequently occur and may even include δ subunit substituted for γ that encircle a central, chloride-permeable pore. The GABAA is found on both presynaptic and postsynaptic neuronal cell membranes. Upon the binding of two GABA molecules to the extracellular site, the pore opens and allows the flow of chloride ions into the cell with hyperpolarization of the cell membrane and inhibition of action potentials [4].
The GABAA receptor was cloned in 1987 and multiple subunits have subsequently been identified and grouped within seven functionally unique families. These multiple isoforms result in a highly complex system of receptors with functions dependent upon the expression of subunits.
Two binding sites for GABA sit on the GABAA receptor along with other sites that include a benzodiazepine receptor, a barbiturate receptor, and alcohol. In every instance, these binding sites function independently of each other. As a result, each receptor does not compete with activation of other receptors and the overall effect is synergestic rather than competitive [5].
The GABAB receptor is a second type of receptor and is a metabotropic site that belongs to the G-Protein Coupled Receptor (GPCR) superfamily. Pretreatment of isolated tissue from rodent atria and vas deferens with the GABAA antagonist bicucullin in 1979 first eslablished that two populations of receptors existed when the expected response to GABA was not found [6]. Twenty years passed before the GABAB receptor was finally cloned. As a GPCR, this receptor is broadly distributed throughout the CNS and mediates slow and prolonged inhibitory messaging through Gai/o-type proteins. As a GPCR, GABAB contains seven transmembrane domains with an extracellular N-terminus tail and acts through a second messenger system by inhibition of adenylate cyclase and cAMP formation inactivating voltage-gated Ca2+ channels and K+ channels [5].
Three receptor subunits are associated with GABAB site. A long, extracellular N-terminal called the Venus fly-trap (VFT) domain includes an orthosteric binding site, a seven transmembrane domain and the C-terminus tail within the cell comprise the GABAB receptor. Ligands to the GABAB receptor have been identified and include the selective GABAB agonist Baclofen, various investigational antagonists that poorly penetrate the blood- brain barrier (BB) and several allosteric modulators under study [7].
Because of the ubiquity of GABA in the CNS It is not surprising that disordered GABA signaling has been implicated in several human neurological and psychiatric diseases. Anxiety, sleep, seizure, Alzheimer’s, Parkinson’s and substance abuse are some of several disorders suspected to be linked to the GABA system. Already several medication classes that have affinity for the GABA receptor, including benzodiazepines, muscle relaxants, sedative-hypnotics and anticonvulsants, are now routinely used in clinical medicine.
The production, release and degradation of GABA is mediated through multiple processes. The main precursor of GABA is glutamic acid, an excitatory neurotransmitter itself. GABA is synthesized by the irreversible single-step α-decarboxylation of glutamic acid by the enzyme glutamic acid decarboxylase (GAD), found initially in bacteria and plants and then later in the mammalian CNS and retina. There are two isoforms of the decarboxylase GAD (GAD65 and GAD67) that are involved in the synthesis of GABA with GAD65 closely associated with the presynaptic vesicles. This relationship strongly suggests that a coupled process is involved in the the conversion of cytosol glutamate to storage of intravesicular GABA. There are also vesicular transports systems termed VGAT for the sequestration of the neurotransmitter into the vesicle. VGAT is also the same vesicular transport for another inhibitory amino acid transmitter glycine in the spinal cord [8].
Similar to most decarboxylases, pyridoxine is required as a co-factor [1]. The localization of GAD in the brain generally correlates closely with the distribution of GABA. After synthesis, GABA is stored in vesicles in the presynaptic terminals in cells classified as “GABAergic” cells. When GABAergic cells receive a depolarizing stimulus, vesicular fusion and exocytosis occurs and GABA is released into the synaptic cleft. GABA signaling is primarily terminated by its reuptake into both neuronal and glial cells through membrane transporter systems. Through this uptake system the presynaptic cytosol and vesicles can reuse GABA. Astrocytes also express membrane transporters systems for GABA and play a significant role in GABA metabolism. When reuptake occurs in these non-neuronal cells or non-GABAergic cells, the availability of GABA as a neurotransmitter is reduced [8].
In addition to uptake through membrane transporters, GABA may also be broken down by the enzyme GABA Transaminase (GABA-T). GABA-T is, unlike GAD, widely expressed in both central and peripheral systems and possibly helps limit exogenous GABA from influencing CNS activities. In the CNS, this primary enzyzme is associated with GABA breakdown and is found both in GABA-ergic neurons and astrocytes. One product of GABA-T is glutamate which may be involved in the recycling of glutamate to form new GABA. GABA is also metabolized extracellularly by GABA-transaminase (GABA-T) into succinate semialdehyde, which then enters the krebs cycle for further metabolism [9].
The identification of Δ9-tetrahydrocannabinol (THC) as the psychoactive constituent of cannabis opened a door to unexpected discoveries in neuroscience. Cannabis is the generic name for
It was initially believed that these plant-based cannabinoids like THC, now referred to as phytocannabinoids, probably influenced animal physiology through a nonspecific mechanism to alter cellular membranes. Soon after establishing the laboratory synthesis of THC, modifications of the structure were created and tested in the laboratory. The availability of these synthetic analogs of THC led to the unexpected finding that the psychoactive effect of THC was stereospecific and occurred through binding to an unknown endogenous receptor [10, 11]. Evidence of an endogenous receptor was discovered in 1988 that revealed affinity for the THC molecule in rodent brain [12]. This previously unknown receptor was named CB1 and found to be a G-Protein Coupled Receptor (GPCR) with seven transmembrane helices. Within a few years, a second peripheral receptor was cloned and named CB2. Both receptors in humans were found to have 44% of the amino acid residues identical and in the transmembrane crossings 68% were the same. Although CB1 was the first receptor identified in the brain and was considered a central receptor, it is now known that it is widely distributed outside the CNS but at lower expression, including the respiratory, cardiovascular, skin, ophthalmic systems, and the adrenal glands. CB2, originally discovered in the spleen and thought to be a peripheral receptor, was later found to be present in limited amounts within the CNS and widely available in immune tissue and skin [13].
Although only recently discovered in the late 20th century, it is now recognized that the CB1 and CB2 receptors are the most plentiful G-protein coupled receptors (GPCR) in the body. CB1 is especially abundant in the brain and is more plentiful than all other receptors including GABA.
The presence of these two endogenous cannabinoid receptors led to the expectation that endogenous ligands must lay ahead. Several years earlier the opiate receptors had been discovered in the brain that had affinity for compounds obtained from the opium plant. This led to the isolation of a class of endogenous ligands termed the enkephalins that were bioactive neuropeptides.
Soon after the identification of the cannabinoid receptors, the endogenous ligand arachidonylethanolamine was isolated in 1993 and found to have agonist properties for CB1. This ligand was found in rodent brain and was composed of elements from arachidonic acid and ethanolamine. This unexpected ligand was soon christened Anandamide (AEA), a Sanskrit word for ‘bliss’ [14].
Arachidonic acid is a polyunsaturated fatty acid found in membrane phospholipids in several body organs including the brain [15, 16, 17]. In addition to being a precursor for AEA, arachidonic acid is also an important precursor for eicosanoids including prostaglandins. Shortly after the discovery of AEA, a second bioactive lipid that also included arachidonic acid, 2-arachidonylglycerol (2-AG), was found with binding affinity for both cannabinoid receptors. Unlike AEA, 2-AG had been known for over fifty years as an intermediary in metabolic pathways of triglycerides and other glyceride molecules and is far more available than AEA. 2-AG was found to be a full agonist of CB1 and CB2 and abundantly available throughout the body [18, 19]. In contrast, anandamide is a partial agonist of CB1 and CB2 and belongs to the family of N-acylethanolamines (NAE). NAEs consist of saturated and monounsaturated fatty acids that include palmitic and oleic acids and these other NAEs are more abundant than AEA but do not bind to cannabinoid receptors [20]. Although only recently discovered in the late 20th century, it is now established that the CB1 and CB2 receptors are the most plentiful G-protein coupled receptors (GPCR) in the body. CB1 is especially abundant in the brain and is more plentiful than all other receptors including GABA. The observation that the ECS is so highly expressed within the brain and the finding that the system is highly conserved in the evolution of animals illustrate the importance of the system in the healthy function of man.
Together AEA and 2-AG are referred to as endocannabinoids. These two endogenous ligands are produced in multiple body systems and activate cannabinoid receptors. These endocannabinoid chemical structures are long-chain, polyunsaturated fatty acid chains and differ significantly from the ring structured phytocannabinoids present in cannabis, with different binding affinities to the cannabinoid receptors. The endogenous 2-AG, for example, is a full agonist to the CB1 and CB2 receptors while the plant-derived THC is only a partial agonist. In addition, another important phytocannabinoid, CBD, has even less affinity with only very limited binding to cannabinoid receptors. As endogenous lipids, although both bind to the cannabinoid receptors, the NAE molecule AEA and the monoacylglycerol (MAG 2-AG as) belong to two distinct families with different synthetic and degradative pathways. Both AEA and 2-AG appear unique among their separate families as they are the only molecules that bind to the cannabinoid receptors CB1 and CB2.although they share affinities with the several similar lipids for non-cannabinoid receptors. In addition, both endocannabinoids and other bioactive lipids have redundant pathways in the synthesis and breakdown of the lipid molecules. This diversity in metabolism and binding to multiple receptor families by the NAEs and MAG lead to a highly complex system that regulates many important functions [21].
Collectively, the cannabinoid receptors CB1 and CB2, the two endocannabinoid messengers AEA and 2-AG, and the associated and separate enzymatic systems are called the endocannabinoid system (ECS). The ECS is a major system in human and the CB1 and CB2 receptors are expressed within the CNS and several peripheral organs including heart, liver, fat, skin, eye and the intestines [22].
As details about the ECS emerged during the 1990s and into this century, it has become apparent that endocannabinoids interact with several neurotransmitter systems and play an important role in regulating physiological functions. Autoradiographic localization of cannabinoid receptors in the rat established the rich co-localization of cannabinoid receptors with GABA-containing neurons [23, 24]. It has been reported that GABA is produced and released by inhibitory interneurons comprising between 20–60% of neurons in some areas of the brain [25]. The CB1 and CB2 receptors have been found to be highly expressed in areas rich with GABA neurons including the cortex, basal ganglia, substantia nigra and cerebellum. Compared to classic neurotransmitters including GABA and Glutamate [24, 26], the ECS is far more abundant and widely distributed compared to these systems. Thus, activation of the CB1 receptor (the most abundant GPCR in the CNS) interacts with adjacent neurons including GABA and regulates neurotransmitter function to express their central effects.
The ECS is also one of the most pleiotropic systems in mammals and differs from other neurotransmitter systems in several ways. Importantly, most intercellular transmission proceeds anterograde with the release of neurotransmitters from presynaptic neurons that bind to receptors on the postsynaptic membranes. Neurotransmitters, stored in vesicles within the presynaptic cytosol, are released as chemical messengers upon activation of the presynaptic neuron. After release into the synapse, the chemical messengers are subsequently broken down in the synaptic cleft or taken up by transport systems into the neuron or adjacent supporting cells [27].
Endocannabinoids act in the opposite direction from a postsynaptic neuron to presynaptic neuron. This retrograde direction allows the ECS to neuromodulate the forward direction of chemical communication. Because of their highly lipophilic properties, endocannabinoids are not stored in vesicles but are synthesized from membrane lipids only when required. Once released, the endocannabinoid diffuses to its’ receptor target on the presynaptic neuron and helps regulate overall neurotransmission. In the brain, the presynaptic receptor is predominantly CB1 with limited CB2 found in microglia and other tissue. Eventually the endocannabinoid is released by the receptor and taken up by either the pre- or postsynaptic neuron for final degradation [17].
The endocannabinoids are synthesized in the post-synaptic membrane only after the cell is activated and then rapidly degraded after binding to the presynaptic cannabinoid receptor, the effect of stimulation is localized and limited in duration similar to GABA and other neurotransmitters. In addition, although these actions occur binding of AEA and 2-AG primarily to the CB1 receptor in the brain, other non-cannabinoid receptors have also been identified that directly bind and are activated by endocannabinoids [28].
Anandamide (AEA) was isolated from pig brain in 1992 and found to be a derivative of the fatty acid arachidonic acid. As the first endocannabinoid to be discovered, the molecule was named anandamide after the Sanskrit word Ananda that means bliss [29]. As a member of the N-acylethanolamines, it was established that AEA shared multiple synthetic pathways with other glycophospholipids [17].
Typical of other neurotransmitters, AEA functions as a chemical messenger between neurons. However, there are significant differences between endocannabinoids and neurotransmitters including GABA. Soon after its discovery, the uniqueness of AEA was established with the observation that the messenger was synthesized only on demand and diffuse across the synaptic cleft in a retrograde direction to the presynaptic neuron [17].
Following the inflow of calcium2+ into the postsynaptic cell, AEA is synthesized from the precursor membrane lipid N-arachidonyl-phosphatidylethanolamine (NAPE). NAPE is present in brain only in small amounts and cannot sustain prolonged synthesis of AEA. As with 2-AG, AEA contains arachidonic acid and combines this membrane constituent with phosphatidylethanolamine (PE), utilizing a calcium2+ dependent enzyme N-acyltransferase (NAT). The primary pathway for synthesis of anandamide is conversion of NAPE to anandamide through the action of a NAPE-specific phospholipase D (PLD), although several other pathways are known to exist. Similar to other synthesis in the NAE family, the NAPE pathway is not exclusive for AEA. Although the importance of other pathways have yet to be established, it is known that in genetically modified mice without NAPE-PLD, no reduction of the production of AEA is found [30].
Since multiple pathways may be associated with the synthesis of AEA, the abundance of choices has been suggested to enhance the number of stimuli that may initiate the production of AEA. Lipopolysaccharide (LPS), for example, is an endotoxin in the outer membrane of gram-negative bacteria that plays a critical role in the protection of the microbe. Exposure to macrophages activates LPS to defend the bacteria and numerous lipid mediators including AEA are released. The synthesis and release of AEA and the other bioactive lipids is not believed to occur through the intermediate NAPE but rather through the secondary pathways that lead to AEA [20].
The breakdown of AEA results in the release of arachidonic acid and ethanolamine. Within the post-synaptic cell, an intracellular serine amidase named fatty acid amide hydrolase (FAAH) cleaves the long-chain fatty acid of AEA although other available hydrolytic enzyme systems in the cytosol appear to have little effect on AEA. Numerous studies have used disruption of this serine hydrolase through genetic or pharmacological manipulation to increase AEA activity. Manipulation of the FAAH system has already become the target of new drug development in an attempt to increase AEA in the treatment of human pathology [31, 32].
Other non-hydrolytic enzymes also break down AEA including lipoxygenases and cyclooxygenases. These non-FAAH systems are very active at non-cannabinoid receptors although their importance in deactivation of AEA at cannabinoid receptors has yet to be determined [20].
AEA is not the only ethanolamide that can bind to cannabinoid receptors. Other bioactive lipids in this class include numerous compounds including palmitoylethanolamide (PEA) and oleoylethanolamide (OEA) bind to the CB1 receptor. Each of these ligands has distinctive physiological effects associated with them. PEA is associated with several indications including use as an anti-inflammatory or analgesic, while OEA appears useful as an appetite suppressant to reduce body weight [33, 34].
Both PEA and OEA are polyunsaturated fatty acids with multiple double bonds within the long chain. Other polyunsaturated fatty acids have also been reported to have agonist activity for the cannabinoid receptors. Only AEA, among the saturated and monounsaturated fatty acids, has been found to have affinity for the cannabinoid receptors.
2-arachidonylglycerol (2-AG) is a monoacylglycerol that incorporates arachidonic acid at the 2 position of the glycerol backbone. This molecule serves the dual function of a lipid intermediary while also functioning as a chemical messenger within the ECS. Although this endocannabinoid was discovered later than AEA, 2-AG is several hundred fold more common in the CNS compared to AEA and is a full agonist to both the CB1 and CB2 receptors.
There are two major pathways for the synthesis of 2-AG. Similar to AEA, initiation of the process to manufacture 2-AG requires an inflow of calcium2+ into the neuron. The primary pathway for synthesis involves a precursor, phosphatidylinositol, converted by phospholipaseβ or phospholipaseγ, to the intermediary lipid 1,2-diacylglycerol (1,2-DAG). The 1,2-DAG is then hydrolyzed by a DAG lipase to form the endocannabinoid 2-AG.
There is a secondary pathway also available that involves the production of the intermediary 2-arachidonyl lysophospholipid. Once 2-arachidonyl lysophospholipid is available, this lysophospholipid in the presence of the enzyme lysophosphotase-C (LYSOPLC) is rapidly converted to 2-AG.
The breakdown of 2-AG also occurs through a primary pathway but several minor alternatives are also present. Hydrolysis of 2-AG by monoacylglycerol lipase (MAGL) is the most common pathway and involves the cleavage of the ester bond within the 2-AG structure to form arachidonic acid and glycerol. There are at least two forms of MAGL that have been found in rodent and rabbit models. In comparison to the small amounts of AEA and its associated degradative enzymes, 2-AG is widely distributed throughout the CNS along with its synthetic and degradative enzymes. Perhaps because of the breadth of distribution of 2-AG in the CNS, some overlap with AEA occurs. However, a more important distinction is that MAGL is found only in the presynaptic neuron and degradation of 2-AG occurs after release from the presynaptic cannabinoid receptor. AEA, in comparison, after its release from the presynaptic cannabinoid receptor must traverse the synaptic cleft and enter the postsynaptic neuron where it is broken down by the NAE degrading enzyme FAAH [17, 35, 36].
The development of genetically modified mice deficient in MAGL along with the synthesis of MAGL inhibitors have provided useful tools to study the properties of 2-AG. Use of these ligands that block the synthesis of MAGL have revealed elevations of this endocannabinoid, especially in the brain and to a lesser extent multiple organs in the body including the heart, liver, kidney, and brown adipose tissue. Although 2-AG is the major endocannabinoid that binds to the cannabinoid receptors in brain, it clearly also serves an important role in the the regulation of chemical signaling in other organ systems. When the breakdown of 2-AG appears is impaired due to these receptor anatagonists or genetic manipulations, arachidonic acid is significantly reduced in the brain. This suggests that the production of 2-AG serves an important role not just in the formation of an endocannabinoid but also in the in the production of proinflammatory molecules [37].
Other alternative routes for 2-AG degradation are also available. Cycloxygenase-2 (COX-2) and lipoxygenases are secondary enzyme systems that also reduce 2-AG. COX-2 serves an important role in the inflammatory process and converts arachidonic acid to prostaglandins. Lipoxygenases oxidizes polyunsaturated fatty acids and these are non-heme, iron-containing enzymes that are found in a broad range of eukaryotes. They are known to be involved in the metabolism of the eicosanoids including the prostaglandins [37].
In the 1990s, the phenomenon of “depolarization-induced suppression of inhibition” (DSI) was first reported in the purkinje cells of the cerebellum [38] and later in hippocampal pyramidal cells [39]. DSI occurs through the activation of the CB1 receptor and is considered the classic example how endocannabinoids regulate neuronal behavior through retrograde signaling and suppression of GABA release. The CB1 receptor is densely expressed on the GABA presynaptic neurons that are abundantly found in the cerebral cortex, hippocampus and amygdala and are essential for higher cortical functions including learning and memory. Small interneurons release GABA and communicate with the larger purkinje cells and pyramidal neurons. This interaction moderated by the release of GABA results in hyperpolarization of the larger post-synaptic cell and subsequent inactivation. Activation of the CB1 receptor located on the presynaptic interneuron inhibits the release of GABA and thus suppresses the inhibition of the larger cells. It is now well established that this inhibition of GABA release from the interneuron is the result of retrograde communication from the activated postsynaptic cell to the presynaptic GABA-containing interneurons through the release of endocannabinoids that facilitate an increase of intracellular calcium2+ and the initiation of the DSI. Other cannabinoid agonists in addition to endocannabinoids are also known to block interneuron release of GABA through depolarization-induced suppression of inhibition. Presynaptic CB1 antagonists, such as rimonabant, have also been reported to block the effect of CB1 receptor activation further establishing the critical role of retrograde modulation of chemical signaling through the ECS [22]. Thus, inhibition of GABA release is governed through depolarization of the presynaptic neuron by endocannabinoid binding to the presynaptic CB1 receptor [40, 41].
A few years after the discovery of DSI, presynaptic stimulation of CB1 through retrograde transmission of endocannabinoids was found to also occur with excitatory neurons and the phenomenon was termed “depolarization induced suppression of excitation”(DSE). Unlike DSI and the inhibition of GABA release, DSE inhibits the release of excitatory neurotransmitters including glutamate through a similar retrograde release of endocannabinoids. Although initially discovered the inactivation of Purkinje cells, DSE has also been observed in other regions of the brain although the role of endocannabinoids in these areas is less well established [42].
Dependent upon the presynaptic neurotransmitter, stimulation of presynaptic CB1 receptor through retrograde release of endocannabinoids moderates the communication between cells. This changing effect of the endocannabinoids on GABA and glutamate release and the shaping of synapses occrs through a process called synaptic plasticity. Activation of a single synapse is usually insufficient to activate the post-synaptic cell and multiple synapses must fire simultaneously. The coordination and magnitude of the synaptic communication determines the change of voltage in the post-synaptic cell and the strength of the signal. Reductions in the number of presynaptic cells or incoordination of firing results in weakening of the signal.
The strengthening of synapses over time is termed long term potentiation and requires coordination of firing of the pre and post synaptic cells within a window of 20 msec. Cellular firing outside the temporal window weakens the synapse and reduces the voltage difference over time and is referred to as long term depression.
There is a balance in the regulation of excitation and inhibition that allows the brain to physically adapt for learning and memory [43]. Generally these changes are incremental and occur continuously at the synaptic level through a process termed synaptic plasticity [44].
Although glutamate has received a great deal of attention in the process of neuroplasticity, GABA also plays an important, or perhaps equal, role in the adaptation of the nervous system. Changes in neuronal activity and excitation by glutamate release may initiate off-setting activation of inhibitory inputs through GABA interneurons. In both activation and inhibition of the synaptic signal, retrograde release of endocannabinoids through DSI and DSE likely mediates synaptic depression [43].
The endocannabinoid system maintains homeostatsis in the CNS primarily through activation of the CB1 receptor. This receptor is also responsible for the well-known behavioral and physiological effects of the phytocannabinoids. The mechanism of how this modulation of the CNS occurs is by retrograde signaling through activation of the CB1 receptor. As noted earlier, the ECS and GABA neurons are collocated in many areas of the brain and this close proximity may explain how CB1 binding influences the GABA system. The cortex, hippocampus, hypothalamus and cerebellum are areas in the brain where this overlap of the ECS and GABA is especially prominent.
There are several preclinical studies that have examined the inhibition of GABA release in the presence of cannabinoid agonists. One early
Acute administration of the phytocannabinoid THC has also been studied. In an
Two other studies also evaluated the effect of THC on GABA release in rodent models. One evaluated THC alone and reported a dose-dependent reduction in GABA uptake in the rat globus pallidus [47, 48].
The abundance of CB1 receptors on presynaptic neurons and their relationship to the strength of inhibition was assessed in a study of cholecystokinin (CCK) expressing GABA interneurons in the hippocampus. Earlier studies had demonstrated that the number of ion-channel-forming AMPA receptors could predict the magnitude of the postsynaptic response [49, 50] and that more GABA receptors were associated with greater inhibition. However, CB1 receptors are GPCR and operate through different mechanisms including modulation of voltage-gated Ca2+ and K+ channels and second messenger systems. Using the CB1 receptor antagonist AM251, the effect of activation was measured in basket cells and dendritic-layer innervating (DLI) cells. Basket cells have a significant higher expression of CB1 receptors and DLI have significantly less receptor density. The CB1 receptor antagonist AM251 increased the action-potential inflow of Ca2 by 54% in basket cells but not in DLI. However, this increase was significantly reduced from the expected effect of the large number of receptors. A CB1 agonist decreased Ca2+ independent from the CB1 receptor expression. Collectively this suggests that only a subpopulation of CB1 receptors in close proximity to the Ca2+ channel participate in the endocannabinoid modulation of GABA release [51].
Another study evaluated the effect of exposure to cannabinoids in adolescent rats. Using electrophysiological and immunohistochemical techniques, early-, mid- and late adolescent rats were treated with a CB1 agonist (WIN). Early and middle adolescent rats were found to exhibit significant disinhibition of prefrontal cortex (PFC) behaviors at the later adult stage. This result was reversed when the adolescent rat was infused with the positive allosteric modulator GABAA agonist Indiplon. This response suggests that at certain stages of development exposure to cannabinoid agonists may be critical in the downregulation of GABA in the PFC and expressed in the adult stage of maturation [52].
A recent review summarized the literature on the interaction of endocannabinoids and neurotransmitters [22] although only a few have been reported for GABA. Administration orally or intravenously of the endogenous cannabinoid agonists including the endocannabinoids is technically difficult and their interpretation limited. On the other hand, phytocannabinoids can be smoked, ingested or applied as a topical with significant absorption and physiological effects mediated through cannabinoid receptors. In one report of adolescents, thirteen habitual users of cannabis were compared to sixteen non-canabis normal controls in a study using standard 1H MRS techniques performed on a MAGNETOM trio whole body MRI/MRS system to determine GABA metabolism in the anterior cingulate cortex (ACC) [53]. reported reduced levels of GABA in the anterior cingulate cortex (ACC) of adolescents that were habitual users of marijuana when compared to match controls. The ACC surrounds the anterior area of the corpus callosum and communicates with the prefrontal cortex and parietal lobe in addition to deeper limbic structures including the amygdala, nucleus accumbens and hippocampus. It is well established that GABA plays an important role in the maturation of these area in the adolescent brain and disruption of this process may result in neuropsychiatric and substance abuse issues later in life.
Results of the MRS scans revealed significantly lower levels of ACC GABA activity in adolescents that habitually used cannabis. Reduced ACC glutamate levels in adolescents that habitually used cannabis had been reported in an earlier study [54] with MRS imaging and in this follow-up report these findings paralleled the reduction in glutamate with a similar reduction of GABA.
Enhancement of GABA activity has been proposed as a therapeutic approach to the treatment of cannabis use. In one randomized clinical trial (RCT) fifty patients with cannabis dependency were treated with Gabapentin 1200 mg/day or placebo for twelve weeks. Compared to placebo, the study reported significant reduced use of cannabis measured by several assessments including urine drug screens. Gabapentin is a structural analog of GABA and was initially thought to act on the GABA system. Later studies demonstrated that Gabapentin does not alter GABA activity or receptors although it may increase GABA synthesis and non-synaptic GABA release [55].
In the first of two studies, the GABA reuptake inhibitor Tiagabine (Gabitril), was assessed in eight cannabis users and compared when combined with oral THC. THC was dosed at 30 mg p.o. and tiagabine at 6 and 12 mg p.o. Subjects were trained to use established drug-discriminationprocedures to identify placebo and drug conditions, blinded to the study condition and were informed they would receive placebo, THC and tiagabine, alone or in combination during the study. Tiagabine was found to enhance the discriminative-stimulus, self-report and performance results when given with THC and to produce similar outcomes when administered alone [56].
In a subsequent study the investigators replaced tiagabine with baclofen and repeated the trial. In contrast to tiagabine, baclofen is a selective GABAB agonist but has not effect on the GABAA. Results of both studies were similar suggesting that GABAB receptors are involved at least in part with the effect of elevated GABA on cannabinoid-related behaviors [57].
The authors commented that although GABAB enhanced the effects of THC, they could not rule out that accentuation of GABA at GABAA receptors could also contribute to the outcome.
In addition to evaluation of the ECS and GABA through pharmacological enhancement of GABA, an interesting clinical study reporting that pharmacological-induced deficiency of GABA increased the effects of THC in several psychiatric assessments. Using normal subjects, this double-blind, placebo-controlled study evaluated flumazenil, an antagonist and partial inverse agonist of the GABAa receptor, against intravenous THC or placebo. Blocking the GABAa receptor with flumazenil accentuated the psychological effects of THC including psychoses and anxiety and a decrease in the THC-induced P300 amplitude [58].
Through imaging studies of the ECS, manipulation of the synthesis and degradation of endocannabinoids, and pharmacological interventions much has been learned about the cannabinoids since the initial discovery of of the first cannabinoid receptor CB1 in 1988 [59]. The ECS plays a major role in the maturation and homeostatsis of the CNS and activation of the CB1 receptor is the primary initiating event. Modulation of other neurotransmitter systems including GABA can then occur through retrograde transmission [60].
Ligands other than the endocannabinoids also bind to CB1 and CB2 receptors and much can be learned through observation of the effects of these non-endocannabinoids. Although phytocannabinoids, evolved through time in the plant kingdom and differ significantly from endocannabinoids, the overlap in affinity for cannabinoid receptors offer additional means to study the modulation by the ECS and neurotransmitter systems.
Phytocannabinoids are produced in the plant
There are several large epidemiological studies of phytocannabinoid effects on the ECS. Although banned in many areas, Cannabis is the most used illicit drug globally with an estimated 3.8% (182.5 million) of the global population exposed to cannabis [62, 63]. Within the United States, the estimated exposure is even higher with 8.4% (22.2 million) of the population reported to have used cannabis in one year. With relaxation of laws and greater duration of use combined with the change in composition and potency of cannabis, real world studies can provide us important information in understanding the function of the ECS system and the effects of disruption of normal processes.
Among the most important epidemiological studies are reports of exposure to cannabis of pregnant women and the effects on their offspring. In a recent study it was estimated that 5.2% (115,000) of pregnant women are exposed during their preganancy. Some of these women likely use cannabis unaware of their pregnancy and inadvertently expose the first trimester fetus to THC when the nervous system is first initiated. Others may choose to use THC later in pregnancy believing it is a safe remedy for pregnancy-associated nausea and vomiting while neurotransmitter systems are evolving. Others may just believe that cannabis use is safe and be unaware of the potential hazard to the unborn [64].
As with many drugs, however, cannabinoids carry significant safety concerns for pregnant women and as a lipophilic molecule easily traverse the placenta into the fetal bloodstream. Animal studies have shown a clear association between cannabinoids and lower birth weight. In humans, several large, well-conducted studies have explored the short- and long-term effects on fetal, child and adolescents and possible teratogenicity of prenatal cannabis exposure on fetal development (Hurd et al. 2005).
The Ottawa Prenatal Prospective Study (OPPS) was a large, epidemiological study of 291 expectant, middle class Canadian women. Within this group of expectant mothers, 20% used cannabis sometime during their pregnancy. All subjects were evaluated during their pregnancy and for the first six years using standardiazed neuropsychological tools.
At birth, there were observations made of increased startle reflex in children exposed in utero to cannabis, but no significant change in weight or increased presence of congenital malformations. By age four, however, behavioral changes including decreased visual performance, attention, and memory were apparent. In older children, impaired executive function was reported [65, 66].
In 1991 a second longitudinal study named the Maternal Health Practices and Child Development Study (MHPCD) was reported on 519 expectant mothers and live born infants. Unlike the earlier study in Ottawa, expectant mothers were largely lower class economically with poorer prenatal care. Expectant mothers were evaluated at 4 and 7-month gestation offspring evaluated until young adulthood. Growth parameters including birth weight, head or chest circumference, and gestational age were analyzed at birth with no statistical differences noted between newborns with non-exposure in utero and in newborns with maternal use of cannabis. There was a small effect on decreased birth length in exposure the first two months and a positive effect on body weight with usage in the third trimester [67]. In a follow-up of the offspring in this study up to two decades later, prenatal maternal exposure to cannabis was found to result in a greater risk of cannabis use in their children at adolescence (38% before age 15). By age 22 in-utero cannabis-exposed children were more apt to not complete high school (54.4% vs. 37.2% in controls), be unemployed (67.6% vs. 52.1%) and more likely to have been arrested (56% vs. 27.3%) [68].
The Dunedin study was a third, and more controversial, project conducted in New Zealand on 1037 individuals followed from birth to 38 years. One measurement obtained over the course of the study was the evaluation of the association between cannabis use and neuropsychological outcomes. Neuropsychological assessments were obtained before the age when cannabis use occurred and changes studied. Cannabis use was obtained at age 13 and then at age 38 after a pattern of consistent use. It was found that there was an associated decline in IQ related to the frequency and length of exposure to cannabis. The greatest vulnerability appeared to occur with adolescent exposure. The authors found that persistent cannabis use was associated with neuropsychological decline broadly across domains of functioning, most significantly in the domains of executive functioning and processing speed. Study participants with more persistent cannabis dependence also showed greater IQ decline over the years, along with greater overall cognitive decline. Greater cognitive impairment was observed in those who began cannabis use in adolescence. The investigators also pointed out that cessation of cannabis use did not fully restore neuropsychological functioning in these adolescence-onset users [69, 70].
Another recent large, retrospective, cohort study of 661,617 pregnant women study conducted over six years in Ontario, Canada examined the association between self-reported cannabis use in pregnancy and any adverse maternal or perinatal outcomes. The investigators accounted for known confounding factors, such as tobacco use, in one of two cohorts by the use of a matched design analysis. The results showed that preterm birth rate, at less than 37 weeks’ gestation, for both the matched and unmatched cohorts were significantly higher in the women who reported cannabis use. The rate of preterm birth rate in the unmatched cohort was 12.0% in cannabis users, compared to 6.1% in nonusers. In the matched cohort, the rate of preterm birth was 10.2% in cannabis users versus 7.2% in nonusers. A continuous increase in relative risk of preterm birth from cannabis exposure was observed between 34 to 36 6/7 weeks’ and 28 to 31 6/7 weeks’ gestation, respectively. Because this type of increase was not observed for very preterm birth at less than 28 weeks’ gestation, it was conjectured that cannabis exposure may be more strongly associated with early and moderate preterm births versus very preterm births. Cannabis use in the subjects was also significantly associated with the following secondary outcomes: small for gestational age, placental abruption, transfer to neonatal intensive care, and 5-minute Apgar score of less than 4 [71].
Both the OPPS and MHPCD studies were consistent in demonstrating behavioral and cognitive impairment years after exposure to cannabis in-utero. The Dunedin study also reported decline in IQ related to cannabis exposure beginning in adolescence. Collectively, all three studies report important deficits that emerge over time in child and adolescent maturation. A limitation of these studies, however, is the continuing social acceptance of cannabis use and increasing potency of THC.
To provide more current information, an NIH-initiative, the Adolescent Brain Cognitive Development (ABCD) Study is ongoing. This is a national, multisite, longitudinal cohort study that is prospectively following subjects from childhood through adolescence to explore the effects of substance use such as cannabinoids, among other experiences, on neurocognitive development. There are, of course, many challenges associated with long epidemiologic studies. Aside from participant loss and difficulty maintaining controls, the constant flux in the content of cannabinoid products over the years, namely the significant increases in the ratio of THC to CBD, presents significant inconsistency in comparing these long studies or predicting current risk.
GABA is an amino acid concentrated within the CNS and is recognized as the major inhibitory neurotransmitter in the brain [1]. With the exception of a second, excitatory amino acid neurotransmitter glutamate, GABA is present in millimoles/gm in brain tissue compared to nanomolar/gm concentrations of the other classic neurotransmitters [72].
The physiological effects of GABA do not occur in isolation. The functional relationship beween the two systems begins after the release of GABA from an activated presynaptic neuron and stimulation of the postsynaptic cell. Endocannabinoids are then manufactured on-demand and released to bind to cannabinoid receptors on the presynaptic membrane terminating the release of GABA.
The CB1 receptor is highly expressed in several regions of the brain including the forebrain, amygdala, hippocampus, substantia nigra and cerebellum. This receptor is frequently in GABA containing neurons and this overlap allows for close coordination and interaction between the two systems. As a result, the ECS provides an important feedback to the GABA system and participates in the maturation of the CNS and the function of the adult brain [72, 73].
The GABA system and the ECS, similar to all neurotransmitters, are limited to brief synaptic activity at discrete locations and are quickly terminated through either enzymatic breakdown or reuptake mechanisms. GABA is stored in presynaptic vesicles and released after excitation by an action potential into the synapse to stimulate the postsynaptic cell. The endocannabinoids, in contrast, are synthesized in the postsynaptic membrane on demand only after the cell is stimulated. Upon release, the endocannabinoid moves in a retrograde direction across the synapse and binds to the CB1 receptor on the presynaptic neuron. Once the endocannabinoid is bound to the CB1 receptor, the release of neurotransmitters from the presynaptic neuron is terminated.
How endocannabinoids work in moderating GABA is introduced in the discussion of depolarization induced suppression of inhibition (DSI). This is a critical concept on how the chemical signal with GABA release is moderated by the activation of the CB1 receptor. Although less established, activation of this cannabinoid receptor may also activate another amino acid transmitter glutamate through a similar mechanism termed depolarization induced suppression of excitation (DSE).
Several preclinical studies of ECS and GABA in this chapter followed the initial papers on DSI and DSE and the concept of CB1 receptor activation influencing the release of GABA (and potentially glutamate). Although for technical reasons it has not been possible to study the effect of AEA and 2-AG directly, these studies chose to utilize several laboratory-created CB1 agonists under investigation or the phytocannabinoid THC. No matter the source of the agonist, the findings consistently found that stimulation of the CB1 receptor reduced the release of GABA.
From these studies it is apparent that activation of the CB1 receptor is not exclusive to endocannabinoids. As discussed earlier, the plant
Earlier in this chapter several large epidemiological studies were reviewed reporting the effects of cannabis on the development of the nervous system in utero to maturity. These studies are informative because they describe the effects of cannabinoids on the developing nervous system and adult where GABA plays an important role. From these reports it is likely that early maternal exposure to phytocannabinoids results in impairment in the offspring through disruption of the development of the nervous system with behavioral abnormalities appearing later in life [65, 68, 75, 76].
There are obvious limitations in large scale studies since In normal circumstances ECS and GABA collaborate in limited and localized coordination in development. Phytocannabinoids act systemically throughout the body and are not limited to discrete synapses. In addition, since phytocannabinoids are lipid soluble, sequestered in fat tissue, and broken down by hepatic enzymes, the location and duration of exposure to phytocannabinoids differs from the brief, focused synaptic interaction between GABA and the endocannabinoids. Nevertheless, these large studies of cannabis use provide important information on how phytocannabinoids may disrupt GABA function that may be reflected in the abnormalities reported in these larg scale studies. Cannabis is regarded by many as relatively ‘safe’ and is becoming ‘legal’ in many areas. However, other ‘safe’ and ‘legal’ drugs including nicotine and alcohol are associated with serious public health concerns. These studies give us insight into the possible risks associated with using phytocannabinoids and influencing the communication between GABA and the endocannabinoids.
The interaction of GABA and the ECS is important for normal physiological function. As our knowledge of this modulation of the CNS advances, additional knowledge and treatments will likely emerge that will provide unexpected benefits to patients. However, epidemiological studies of exposure to cannabis also provide important information they reveal the disadvantages and risks of disruption of the GABA-ECS systems. As increased access and duration of usage evolve, we will learn more of the benefits, and risks, of cannabiods.
In many of the industrial and laboratory systems, especially in control and monitoring tasks, hardware is used in a loop (Figure 1).
Real-time processing system hardware in the loop.
In the diagram shown above, information about the physical environment is obtained through sensors that respond to a physical stimulus (light, heat, pressure, magnetism, acceleration, stress) and that are designed so that the information acquired is transformed into an electrical signal proportional to the changes. Frequently, the electrical signal obtained from the sensor has noise or interference, so signal conditioning is necessary, which is achieved through some processing operations such as amplification, linearization, compensation, and filtering. Analog-to-digital converters (ADC) are used to sample and hold charge, thereby converting the analog circuit current/voltage into a digital value. Without encoding, sensors are useful in analog control systems, but for the use in digital control and monitoring systems, encoding is critical. Real-time embedded systems therefore require digital encoding of all sensor inputs, with the exception of subsystems, which are all analog [1].
One of the main tasks of embedded systems is the processing and interpretation of information that arrives from the outside. An embedded system is a combination of hardware and software that is specifically designed for a particular function. In most cases, an embedded system is used to replace an application specific electronics in consumer products. By doing so, most of the systems functionality is encapsulated in the firmware that runs the system, and it is possible to change and upgrade the system by changing the firmware, while keeping the hardware same [2]. When embedded systems are board-based, it is fairly straightforward to select the proper components, integrate them with software, and ship the product.
In the mid-1990s, the development of embedded systems evolved with the concept of ASIC technology, changing the philosophy of systems based on a chip-set to a concept System-on-a-Chip (SoC) based on embedded cores. The term SoC defines an integrated circuit (IC) designed by joining multiple independent VLSI models to provide full functionality for an application. Each model is predesigned with complex functions known as cores that serve to a variety of applications. Cores can use a library of components designed by intellectual property (IP) companies or by self in house. The chip used for the system may contain combinations of cores that are generally available in the form of a synthesizable high-level description language (HDL), as Verilog/VHDL, or optimized transistor-level design. Some examples of core-based SoC include high-end microprocessors, GPS positioning for autonomous vehicles, smartphone, and even PC-on-a-Chip [3].
Nowadays, embedded systems are made on SoC. The SoC can include several heterogeneous subsystems, including specific hardware components and sophisticated interconnects (Figure 2).
Embedded system architecture. In addition to hardware, a SoC includes classic application software- and hardware-dependent software that must be co-designed with hardware interfaces. The API hides hardware details such as interrupt controllers or memory and I/O systems [
Often in systems used in industrial and laboratory applications for control, monitoring, testing and measurement, and automation, data acquisition (DAQ) subsystem is the first stage. The main purpose of DAQ is to measure physical phenomena, converting the analog signal into a digital signal, and then send or save the data collected for further analysis. An important point to consider is the problems of output conversion into a digital format, as well as to high accuracy and speed conversion methods used. In addition, if the application requires simultaneously capturing several signals, the DAQ must be of the multichannel type and will need a central processor, which will control the channeling and organization of data acquisition for further displays or its use in control systems. The methods to be used in multichannel data acquisition depend on the control and measurement tasks and directly influence the structure and functionalities of the DAQ. In a modern system, the measurement and control sensors can be set up in different ways; the most used are:
Methods that use time-division channeling, which perform sensor multiplexing, that is, the time is shared by each sensor in the data acquisition.
Methods using space-division channeling, based on simultaneous data acquisition from all the sensors.
In both cases, access to information at any time depends on the control and measurement tasks used [5].
Commercial DAQ cards are differentiated by their viabilities such as sampling frequency, scale of acquired signal, power, and requirements but are generally high in cost, and they need a PC at the collection site. Embedded systems to data acquisition often require the participation of the embedded operating system. The modern on-board FPGA can not only overcome the deficiency of the microcontroller unit (MCU) or the digital signal processor (DSP) and meet the requirements of system for real-time and synchronization but also for embedded applications using SoC FPGA platforms with the high level coordination, versatility, and full-stacked operative system [6].
At present, the most used standard protocols in communication in wireless sensor networks (WSN) are IEEE 802.15.1 Bluetooth, IEEE 802.15.4, IEEE 802.15.4/a ZigBee, and IEEE 802.11 Wi-Fi. The following describes these protocols:
IEEE 802.15.1 protocol is an economical and secure wireless communication standard, used to exchange information between devices through a short-range radio frequency; it was invented in 1994 by a group of engineers of the Ericsson Company. The original idea of Bluetooth was to eliminate the need for a cable connection between devices by connecting them over short distances (up to 100 m). Bluetooth operates with industrial, scientific, and medical frequencies (ISM), from 2.4 to 2.4835 GHz starting at 2.402 GHz. Bluetooth devices can be configured to operate in two ways:
Basic and Enhanced Data Rates (BR/EDR) transmissions, where 79 radio frequency (RF) channels with 1 MHz spacing are used. This configuration uses frequency-hopping spread spectrum (FHSS) scheme, at a nominal rate of 1600 hop per second.
Low Energy (LE) mode, where only 40 RF channels with 2 MHz spacing are available and adaptive frequency hopping (AFH) is used (Figure 3) [7, 8].
Bluetooth frequency bands and RF channels. Each RF channel is ordered in channel number n as follows: f = 2402 + n MHz, where n = 0, …, 78 (BR/EDR) and f = 2402 + n*2 MHz, with n = 0, …, 39 (LE).
Since its appearance, Bluetooth protocol has continuously evolved, so there are several versions that are differentiated with a number. Bluetooth versions 1.0–3.0 are known as Bluetooth Classic category and originally supported a maximum data rate of 721 kbps. This is referred to as Basic Rate (BR). The Bluetooth 2.0 EDR specification added support for data rates up to 2.1 Mbps. This is referred to as Enhanced Data Rate (EDR). The Bluetooth 3.0 High Speed (HS) specification enhanced it even further to 24 Mbps. Bluetooth Low Energy (BLE) is a new category that include versions 4.0 and 5.0. Geared toward applications requiring low power consumption, BLE returns to a lower data throughput of 1 Mbps using the GFSK modulation scheme. The Bluetooth 4.0 specification did not add any additional data rates; it only reduced the current consumption to enable low-energy devices. In Bluetooth 5.0, in addition to low power consumption, four different data rates are offered to accommodate a variety of transmission ranges: 2 Mbps, 1 Mbps, 500 kbps, and 125 kbps. The lower data rate of 125 kbps was added to compensate for the increase in transmission range [9].
Bluetooth module generally consists of four components: radio transceiver, baseband/link controller, link manager, and a host controller interface (HCI) [8]. HCI is the interface to access the Bluetooth module setup from the host. Bluetooth communication is based on the following two network topologies:
Piconet: It consists of one master and up to seven slaves (Figure 4a).
Scatternet (combination or two or more piconets) (Figure 4b): It is formed when two or more piconets come together by sharing a device. Scatternets help to extend the number of Bluetooth devices that can communicate with each other. They allow more than seven devices to communicate with each other [10].
Bluetooth network topologies. (a) Piconet. (b) Scatternet.
ZigBee, also known as IEEE 802.15.4, was initially conceived in 1998, standardized in 2003, and finally revised in 2006; it is a low power standard for short-range communications between wireless devices. ZigBee is classified as a wireless personal area network (WPAN). ZigBee devices operate in one of three bands: 868 MHz (Europe), 915 MHz (North America), and 2.4 GHz (worldwide). The 2.4 GHz band is the most used by the ZigBee transceivers and uses offset quadrature phase-shift keying (OQPSK) modulation stream. This type of modulation, which is a derivation of traditional QPSK, is used for requiring less transmission power and achieving the same or better performance than similar ones. OQPSK modulation combined with the use of a 5 MHz channel bandwidth allows devices to reach a data rate of up to 250 kbits/s efficiently [11]. The IEEE 802.15.4 has three different operation modes (Figure 5):
Personal area network coordinator (ZigBee coordinator, ZC): It is the principal controller of the PAN. This device identifies the network, and in it the configurations that allow other devices to be associated are made. ZC function is to act as ZigBee Router (ZR) once the network is formed. ZC is a full-functional device (FFD) that implements the full protocol stack; it can operate with or without beacon mode. The beacon mode of operation is used when data packets must be sent within an allowable delay, such as in monitoring and control applications. The beaconless mode is suitable for applications where data is only sent when an event occurs, that is, there is no continuity in sending information such as motion detection. In a cluster-tree network, all ZRs will receive beacons from their parents and send their own beacons to synchronize the nodes that belong to their clusters.
Local Coordinator (ZigBee Router, ZR): This device must be associated with a ZC or with another ZR previously associated with a network, because it does not create its own network. ZR is a full-functional device (FFD) that implements the full protocol stack. This device participates in multi-hop routing of message in mesh and cluster-tree networks (in the latter case they are also called cluster heads (CHs)). ZR provides synchronization services through beacon transmission.
End device (ZigBee end device, ZED): It is a device that does not implement the previous functionalities and should associate with a ZC or ZR before interacting with the network. In ZigBee, it is just a sensor/actuator node; it can be a reduced function device (RFD) that implements a reduced subset of the protocol stack [12].
ZigBee network topologies. (a) Star topology contains a unique node that operates as ZC, which establishes the PAN identifier. The identifier should not be used by any other ZigBee network in the vicinity. Also in the star topology, the communication is centralized, so each device (FFD or RFD) joining the network and willing to communicate with other devices must send its data to the ZC, which sends it to the adequate destination. (b) Mesh topology includes a ZC that identifies the entire network. Communication in this topology is decentralized, so each node can communicate directly with any other node within its radio. (c) In cluster tree topology, there is a single routing path between any pair of nodes, and there is a distributed synchronization mechanism (IEEE 802.15.4 beacon-enabled mode). There is only one ZC that identifies the entire network and one ZR per cluster. Any of the FFDs can act as a ZR that provides synchronization services to other devices and ZRs [
It is important to consider some operational considerations that may be presented by topologies for traditional wireless sensor networks (WSN). If you choose to use the star topology, you should keep in mind (a) that the sensor node selected as ZC will quickly consume its battery and (b) that the coverage of an IEEE 802.15.4/ZigBee cluster is very limited when addressing a large-scale WSN, leading to a scalability problem. On the other hand, the mesh topology enables enhanced networking, but it induces additional complexity to provide end-to-end connectivity between all nodes in the network. Therefore, unlike the star topology, the mesh topology can be more energy efficient, since the communication process does not depend on a particular node [14].
Wi-Fi is the name given by the Wi-Fi Alliance [15] to the IEEE 802.11 suite of standards. 802.11 defined the initial standard for wireless local area networks (WLANs).
The evolution of Wi-Fi technology has focused on increasing speed, lower latency, and better user experiences in a multitude of environments and with a variety of device types. Wi-Fi Alliance has introduced generational names to devices and product descriptions. The latest generation of Wi-Fi devices, based on the 802.11ax standard, is known as Wi-Fi devices 6. If the device contains 802.11 ac, 5 GHz technology is known as Wi-Fi 5, or if the device uses technology 802.11n, 2.4 GHz is known as Wi-Fi 4 [16]. Generations of Wi-Fi prior to Wi-Fi 4 will not be assigned names. Most of devices available in the market today are identified as Wi-Fi 5.
Wi-Fi is a physical layer/link interface, as is Ethernet. A wireless station (STA) can be a personal computer (PC), a laptop, a personal digital assistant (PDA), or phone. When two or more STAs are connected wirelessly, they form a Basic Service Set (BSS) (Figure 6). This is the basic component of a Wi-Fi network [17].
BSS controlled by a single coordination function (CF). The CF determines when a STA transmits and when it receives.
Wi-Fi has two different operation modes: infrastructure mode and ad hoc mode. Each one uses the BSS, but they yield different network topologies.
Ad hoc mode: Wireless stations communicate directly with one another, with a peer-to-peer network model. A BSS operating in ad hoc mode is isolated, that is, there is no connection to other Wi-Fi or wired LAN networks. The utility of this network is in situations that demand a quick setup in places where there is no network infrastructure.
Infrastructure mode: This mode requires the BSS to contain a wireless access point (AP). An AP is an STA with additional functionality that allows extending access to wired networks for clients of a wireless network. Any wireless device that tries to join the BSS must first be associated with the AP. A distribution system (DS) is generated when an AP provides access to its associated STAs. The DS can allow communication between APs as shown in Figure 7.
All wireless communication to or from an associated STA goes through an AP. This type of setup is similar to the “star topology” used in wired networks.
The IEEE 802.11 standard does not define any specific implementations. Instead, nine services are specified that all implementations must provide; these are:
A STA that functions as an AP must implement the following services:
The elements used for the realization of the proposed system are shown in Figure 8. The platform is composed of four components: the FPGA board that includes A/D converter and three wireless interface Bluetooth, XBee (ZigBee protocol-based), and Wi-Fi module. The wireless modules provide the FPGA device the capacity to communicate with other system or the Internet.
Hardware components used for the real-time monitoring system.
The A/D converter chip used is the integrated circuit (IC) LTC2308, Linear Technology, whose characteristics are low noise and power consumption, up to 500 Kbps, 8-channel, 12-bit, and SPI/MICROWIRE compatible serial interface. The internal conversion clock allows the external serial output data clock (SCK) to operate at any frequency up to 40 MHz [18]. Figure 9 shows the block diagram of ADC.
(a) Block diagram LTC2308 device. Eight analog input and operation modes can be programmed by a 6-bit DIN word through SDI terminal. (b) Timing with a long pulse. The configuration signals are S/D can be single-ended/differential-bit; O/S can be odd/sing-bit; S1 and S0 addressing select bit; UNI can be unipolar/bipolar and SLP active sleep mode [
Cyclone V SoC device block diagram is composed of two distinct portions: A dual-core ARM cortex-A9 hard processor system (HPS) and an FPGA. The cortex-A9 processor has two 32-bit CPUs and associated subsystems on the Intel Cyclone V SoC chip, where hardware circuits can be implemented, which reduce the size of the board and increase the performance of the developed system [
The Digi XBee series modules implement the IEEE 802.15.4 radio and ZigBee networking protocol for its physical layer and MAC. Outdoor transmission distances to 0–90 meters depending on power output and environmental characteristics. XBee devices work in ISM 2.4 GHz frequency bands having a serial interface data rate from 1200 bps to 250Kbps. The following are the supported network topologies: point-to-point, point-to-multipoint, and peer-to-peer.
This module is a serial interface converter to Bluetooth adapter. HC-06 has a 2.4GHz digital wireless transceiver, low power consumption, an EDR module, the change range of modulation depth: 2Mbps–3Mbps, and standard HCI Port (UART or USB), and it can work at the low voltage (3.1–4.2 V). The module can be set by AT commands and have two modes, master and slave, but the mode cannot be switched during the process of communication. Serial baud rate is 1200–1,382,400 bps [21].
This module implements TCP/IP and full 802.11 b/g/n (support 2.4 GHz, up to 72.2 Mbps) WLAN MAC protocol. It can perform either as a stand-alone application or as the slave to a host MCU, so it supports Basic Service Set (BSS) STA and SoftAP operations under the distributed control function (DCF). ESP8266 includes a CPU Tensilica L106 32-bit processor, and it has peripheral interfaces: UART, SDIO, SPI, I2C, I2S, and IR. Power management is handled with minimum host interaction to minimize active duty period. ESP8266EX can be applied to any microcontroller design as a Wi-Fi adaptor through SPI/SDIO or UART interfaces [22].
The design of an FPGA-based remote monitoring system architectures is show in Figure 11. The resultant design is implemented in VHDL and block diagrams; it is validated in co-simulation environment, and finally, it is tested in a real-time application to monitoring an electric signal.
Block diagram of architectures implemented on FPGA. This module comprises five blocks: ADC controller, FIFO memory, Wi-fi, UART drivers, and a finite state machine (FSM).
There are three important features to consider before starting the development system: first, the nature of the feedback signal. If the sensor which measures the variable to be monitored has an analog nature, it is necessary to use an analog-to-digital converter (ADC) which has an output with a fixed bit width. Second: in order to avoid performing arithmetic operations between signals of different bit width, it is strongly recommended that the operations have the same bit width as the measured variable. Finally, the system output must be congruent with the bus width wireless interface.
The ADC LTC2308 operates on a 12-cycle operational frame, as shown in Figure 9b. ADC has four wires to control and communicate with the FPGA: SCLK, CS, DIN, and DOUT. The SCLK and CS signals are used to control the ADC. SCLK is the signal clock for the ADC. The CS signal serves as chip select for the ADC chip. The DIN and DOUT wires are used for transferring addresses and data between the two chips (ADC and FPGA). The FPGA uses the DIN connection to provide the address (3 bits in length) of the next channel requested for conversion. The DOUT connection is used by the ADC to send the digital value (12 bits long) of the converted signal to the FPGA. Both DIN and DOUT are sent in a serial manner at a rate of 1 bit per SCLK cycle [23].
In the case of our working example, SPI controller was developed to control the conversion process. A long CONVST pulse is used. Figure 9b shows time diagram to programming ADC. According to the diagram, “the conversions are initiated by a rising edge on the CONVST input. Once a conversion cycle has begun, it cannot be restarted. Between conversions, a 6-bit input word (DIN) at the SDI input configures the MUX and programs various modes of operation. As the DIN bits are shifted in, data from the previous conversion is shifted out on SDO. After the 6 bits of the DIN word have been shifted in, the ADC begins acquiring the analog input in preparation for the next conversion as the rest of the data is shifted out” [19]. Figure 12 shows the block diagram architecture corresponding to SPI controller.
SPI controller architecture. (a) 12 bits a/D conversion general architecture. (b) ADC_Core architecture. (c) ADC_Nano architecture generates signal control to ADC. The 4-bit counter counts 16 cycles in high for the acquisition of the signal and 16 cycles in low for the sending of the 12 output bits parallel to the configuration instruction for the next sample. The control ADC architecture is based on shift register.
A dual-clock First-In First-Out (FIFO) buffer was used to cross data between the two different clock domains: sampling frequency A/D converter (from 1 to 25 MHz) and transmission rate (from 9600 to 921,600 bps), Figure 13. In the systems’ clock frequency domain, the serialized outputs are continuously stored in 12 bits shift register, before they will be sent to FIFO buffer. The finite state machine (FSM) FIFO, in the system controller, wait until collected data of the last active channel will be sent through wireless module, before starting a new acquisition.
Dual-clock FIFO architecture. Two counters are used to addressing the data to read and write operations. RAM of 12-bit and 16 words is used to store data.
The following source code corresponds to the FIFO_LOGIC and RAM entities of the design.
Code 1. FIFO_LOGIC.vhd [24].
Code 2. RAM_16.vhd.
Serial communications depend on the two UART devices (the FPGA architecture and the wireless module) to be configured with compatible settings: baud rate, parity, control (start and stop bits), and data bits (Figure 14).
UART data packet has data format structure: Data bits, parity, and stop bits. In the graph, the data 0x9B (decimal number “155,” ASCII character “ø”) is transmitted through the wireless module with format: 8-N-1 [
In this system, a general port input/output (GPIO) is used to send serial data. Subsystem architecture (Figure 15) is used to set the baud rate in the output. UART interface will read out the data when it is filled in the FIFO and send to the host through the wireless link (Bluetooth or XBee modules), and finally the data can be displayed in the host with software application.
UART driver diagram. Serial transmission uses baud rate module (DIVISOR_8333). MAQUINAFSM together with MUXSALIDA sends data from FIFO to serial data in the transmission format. The parity is verified with PARIDAD.
Code 3. DIVISOR_8333.vhd.
Code 4. MUX_SALIDA.vhd.
Code 5. MAQUINA_FSM.vhd.
Code 6. PARIDAD.vhd.
The wireless modules are configured through AT commands. Command strings have the form ATxx (where xx is the name of a setting). The mode for both is slave to receive data from UART driver architecture. Bluetooth can be set to baud rate from 9600 to 921,600 bps. XBee can be set to baud rate from 9600 to 250,000 bps. Terminal software like Tera Term [26] can be used to have an initial configuration of the devices. Any USB to TTL converter, for example, PL2303HX device or similar, can be used.
In the case of Bluetooth, the module only needs to be connected to the Rx of module to Tx of USB-TTL converter and Tx of module. It is necessary to connect ground and Vcc. HC-06 module is permanently configured to be slaved, and it is always in AT mode when not paired to any other device. AT commands can be founded in datasheets [27].
XBee configuration needs a test utility (XCTU) to enable users to interact with radio frequency (RF) devices through a graphical interface. The application includes built-in tools that make it easy to set up, configure, and test RF devices. The software can be downloaded from the Internet [28].
ESP8266 Wi-Fi module is used to transmit the sensor data wirelessly to the Wi-Fi modem at the other end with Internet connection. ESP8266 can be initialized using a set of AT commands. Initialization process includes (a) verifying the communication between ESP8266 module and FPGA architecture (RST command) and (b) searching for a Wi-Fi network within its range and connecting to it, with the required credentials (CWJAP command). Sending process includes (a) setting the Wi-Fi module as a TCP/IP client (CIPSTART command); (b) transmitting data involves communication with cloud server using IP address (CIPSEND command). Address IP of the server is required to access the data from personal computing devices such laptop, tablet, and smartphone. Figure 16 shows the AT command sequence and a block of Wi-Fi architecture:
AT command sequence. (a) Flow diagram of WEB connection [
An analog signal is generated by the function generator to test the system, and the final data sent to the PC or WEB page is observed. Figures 17, 18 and 19 show the corresponding practical wave and storage wave.
Measurements of real signal sent to the host and WEB page. The signal has an offset = 3.98Vdc and 8.06Vpp and frequency of 60 Hz with harmonics of 3rd, 5th, 7th, and 9th. This signal is obtained from digital oscilloscope.
Data received from the remote DAQ system (Bluetooth or XBee module) using GUI development. Each cycle is represented by 133 samples (sampling frequency = 8 kHz). The UART baud rate is 115,200 bps.
Data sent to WEB page through Wi-fi module. The WEB page was made on a XAMPP package that includes apache WEB server, MySQL, and PHP [
The GUI (Figure 18) was made using Java Eclipse Oxygen [29] and serial communication libraries (jSerialComm). jSerialComm is a Java library designed to provide a platform-independent way to access standard serial ports without requiring external libraries, native code, or any other tools. It is meant as an alternative to Rx-Tx and the (deprecated) Java Communications API, with increased ease of use, an enhanced support for timeouts, and the ability to open multiple ports simultaneously [30].
This chapter described a data acquisition system based on FPGA. Several architectures to ADC controller, UART communication, FIFO memory, and Wi-Fi configuration process were made to develop the system. Experiments show that the system can convert the analog signals to digital signal and send to host computer to Java GUI or WEB page in real-time. The data can be acquired by using custom sampling frequency and baud rate. The entire system is designed to be simple, stable, and low cost.
"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges".
\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.
",metaTitle:"About Open Access",metaDescription:"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges.\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.",metaKeywords:null,canonicalURL:"about-open-access",contentRaw:'[{"type":"htmlEditorComponent","content":"The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
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The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\n\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
\n\nAt IntechOpen today, we are still as committed to working with organizations and people who care about scientific discovery, to putting the academic needs of the scientific community first, and to providing an Open Access environment where scientists can maximize their contribution to scientific advancement. By opening up access to the world’s scientific research articles and book chapters, we aim to facilitate greater opportunity for collaboration, scientific discovery and progress. We subscribe wholeheartedly to the Open Access definition:
\n\n“By “open access” to [peer-reviewed research literature], we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited” (reference: http://www.budapestopenaccessinitiative.org)
\n\nOAI-PMH
\n\nAs a firm believer in the wider dissemination of knowledge, IntechOpen supports the Open Access Initiative Protocol for Metadata Harvesting (OAI-PMH Version 2.0). Read more
\n\nLicense
\n\nBook chapters published in edited volumes are distributed under the Creative Commons Attribution 3.0 Unported License (CC BY 3.0). IntechOpen upholds a very flexible Copyright Policy. There is no copyright transfer to the publisher and Authors retain exclusive copyright to their work. All Monographs/Compacts are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Read more
\n\nPeer Review Policies
\n\nAll scientific works are Peer Reviewed prior to publishing. Read more
\n\nOA Publishing Fees
\n\nThe Open Access publishing model employed by IntechOpen eliminates subscription charges and pay-per-view fees, enabling readers to access research at no cost. In order to sustain operations and keep our publications freely accessible we levy an Open Access Publishing Fee for manuscripts, which helps us cover the costs of editorial work and the production of books. Read more
\n\nDigital Archiving Policy
\n\nIntechOpen is committed to ensuring the long-term preservation and the availability of all scholarly research we publish. We employ a variety of means to enable us to deliver on our commitments to the scientific community. Apart from preservation by the Croatian National Library (for publications prior to April 18, 2018) and the British Library (for publications after April 18, 2018), our entire catalogue is preserved in the CLOCKSS archive.
\n\nOpen Science is transparent and accessible knowledge that is shared and developed through collaborative networks.
\n\nOpen Science is about increased rigour, accountability, and reproducibility for research. It is based on the principles of inclusion, fairness, equity, and sharing, and ultimately seeks to change the way research is done, who is involved and how it is valued. It aims to make research more open to participation, review/refutation, improvement and (re)use for the world to benefit.
\n\nOpen Science refers to doing traditional science with more transparency involved at various stages, for example by openly sharing code and data. It implies a growing set of practices - within different disciplines - aiming at:
\n\nWe aim at improving the quality and availability of scholarly communication by promoting and practicing:
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