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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.
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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.
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\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.
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\r\n\tWind engineering is very important due to the impacts of wind on humans, man-made structures, wind turbines, vehicles, and the environment at large. In wind engineering, researchers investigate the effects of wind on natural and built environments and study the possible damage, inconvenience, or benefits that may result from wind or air flow. As a discipline, it draws on meteorology, fluid dynamics, mechanics, geographic information systems, and a number of specialist engineering disciplines, including aerodynamics and structural dynamics. Atmospheric boundary-layer (ABL) simulations at a relatively high resolution (spectral content and turbulence) are essential for accurate estimation of loading on structures and machines, as well as the extracted power from wind. The physics involved in the processes of ABL and the flow interaction are indispensable for the understanding of wind-induced loads. Several tools are available for wind engineering investigations that include: atmospheric models, wind tunnels, open-jet testing, and computational fluid dynamics (CFD). We solicit high quality original research or review papers focused on state-of-the-art techniques and methods employed in flow, aerodynamic, and aeroelastic measurements in wind engineering of civil infrastructure, vehicles, planes, wind turbines, etc. Potential topics include, but are not limited to: aeronautical wind tunnels, boundary layer wind tunnels, open-jet facilities, computational and/or theoretical methods for wind load assessment; aerodynamic forces on vehicles; wind forces and pressures on low-rise buildings, high-rise buildings, bridges, power transmission towers, solar energy harvesters, wind turbines; non-synoptic wind processes, tornadoes, down-burst, etc.; aeroelasticity and fluid-structure interaction; Reynolds number effects; atmospheric turbulence; and aerodynamic optimization for improved sustainability with resilience benefits.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"2ab447ea1b7777b0095823e888cce41c",bookSignature:"Prof. Aly-Mousaad Aly",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/9263.jpg",keywords:"aeronautical wind tunnels, boundary layer wind tunnels, cryogenic wind tunnels, force balance, bluff body, wind turbines, vehicles, cladding, peak pressures, drag, lift, hurricanes",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 17th 2019",dateEndSecondStepPublish:"September 18th 2019",dateEndThirdStepPublish:"November 17th 2019",dateEndFourthStepPublish:"February 5th 2020",dateEndFifthStepPublish:"April 5th 2020",remainingDaysToSecondStep:"3 years",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"207384",title:null,name:"Aly-Mousaad",middleName:null,surname:"Aly",slug:"aly-mousaad-aly",fullName:"Aly-Mousaad Aly",profilePictureURL:"https://mts.intechopen.com/storage/users/207384/images/system/207384.png",biography:"Dr. Aly-Mousaad Aly is an associate professor at Louisiana State University (LSU). His research aims at creating fundamental knowledge in wind engineering, dynamics, and control to build more resilient, economic, and recoverable infrastructure to enhance safety and reduce the huge cost of rebuilding after windstorms and earthquakes. He is the director of the LSU Windstorm Impact, Science, and Engineering (WISE) research and education program (wise.lsu.edu). His research enables advanced wind testing, which yields loads that mimic those at full scale. His research advanced the implementation of smart dampers in super-tall structures and a novel probabilistic theory that enables the analytical modeling of semi-active damping.",institutionString:"Louisiana State University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Louisiana State University",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"11",title:"Engineering",slug:"engineering"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"297737",firstName:"Mateo",lastName:"Pulko",middleName:null,title:"Mr.",imageUrl:"https://mts.intechopen.com/storage/users/297737/images/8492_n.png",email:"mateo.p@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. 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Natural enemies are periodically released in augmentative biological control of insect and mite pests [2]. In classical biological control, an NE is imported and released in a new area for regulating a specific pest [1]. Released and naturally occurred NEs are subjected to continuous deterioration in populations especially in modern agricultural systems characterized by complete removal of plants after harvesting. This complete removal of plants gives rise to disappearance of natural enemies after each crop season. Conservation biological control is the protection of NEs against adverse effects of pesticides and incompatible cultural practices and improving their efficiency via providing food sources [3–5]. Biological control of arthropod pests has used for a long time traditionally in different crops, therefore it should be used with other compatible integrated pest management methods [6]. Both the area on which it is used and the number of available biological control agents are still expanding [2, 7]. Natural enemies play an important role in limiting potential pest populations [8].
\nConservation biological control is one of biological control main branches [8], which can be first realized by reducing the use of pesticides, use of selective pesticides, careful timing and placement of pesticide applications. We have seen what happens when insecticides destroy the natural enemies of potential pests. Insects that were of little economic importance may become destructive pests. When nontoxic control method is used natural enemies are more likely to survive and reduce the populations of pests.
\nDuring non-crop periods, natural enemies may need of benefit from pollen, nectar or honeydew (produced by aphids). Many crop plants flower for only short time, so flowering plants along the edges of the field or within the field may be needed for pollen and nectar [9]. Preservation of natural enemies can be achieved by providing habitat and resources for natural enemies [10]. They are generally not active during the winter. Unless they are re-released each year, they must have a suitable environment for overwintering [11, 12]. They usually pass the winter in crop residues, other vegetation or in the soil. Ground cover of fruit orchards, winter crops (like alfa alfa and breccias), usually provides shelter for overwintering natural enemies. Adding plants or other food sources for natural enemies must be done with knowledge of the behaviour and biology of the natural enemy and the pest [13–16].
\nIt is widely known that the simplifications of agriculture systems towards monoculturing are mainly responsible for decreasing environmental quality, threatening biodiversity and increasing the possibility of insect outbreaks. Modern crops are often monocultures in highly specialized production units, where not only crop cultivation but also harvest and packaging techniques are specialized [17–19]. The development of farming systems (field or landscape) with greater dependence on ecosystem services, such as biological control of insect pests, should increase the sustainability of agro-ecosystems [20–22]. Farming systems like greenhouses, annual crop systems and other practices that end with removing the whole crop after harvesting, may give rise to elimination of biodiversity, and decreasing the population of natural enemies in the fields or in different agricultural environments [23, 24], as appeared in Figure 1. Collection and transferring of natural enemies to environmentally controlled habitats could be useful in utilizing these natural enemies until releasing them in the next crop season.
\nComplete removal of maize may eliminate natural enemies (A) or after roses cutting (B).
Thus, they will try to contribute to preserve the natural biodiversity in the agricultural environment and provide natural alternatives to chemical pesticides. We concentrate here on the effects of conservative biological control on NE biodiversity and cleanliness of environment.
\nThis chapter aims at discussing a suggested strategy for more efficient conservation biological control comprising of three main practices:
\nCollection of natural enemies before the end of crop season.
Preservation of collected natural enemies in special greenhouses during non-crop periods
Releasing the preserved natural enemies on target crops in the next growing season.
The sequence of these practices is illustrated in Figure 2.
\nLogical practices diagram of conservation biological control.
The first step of the suggested strategy is collection of NE from fields shortly before the complete removal of plants and disappearance of occurring NEs. At the end of the crop season, the NEs are usually in their top population densities [1].
\nNatural enemies may be abundant in many sites around the year including landscape, fruit orchards, vegetable and field crops and ornamentals and others.
\nCollection techniques differ according to the nature of natural enemies, crop, time and site.
\nThe common collection techniques are vacuum collection, sweeping net, pitfall traps, manual collection etc. Example of collection techniques, sites and crops are assembled in Table 1.
\nPlant | \nNatural enemies | \nPests | \nTechnique | \nReferences | \n
---|---|---|---|---|
Mulberry trees | \nleaves containing parasitized insects branches in a suitable cloth bag | \nHendawy et al. [25] | \n||
Tomatoes | \nSayed [26] | \n|||
Clover Tomatoes Maize Potatoes | \nTomato or potato leaves were collected in jars and kept in the laboratory until parasitoids emergence | \nELbehery [27] | \n||
Mango trees | \nInfested small branches were collected in cloth bags and the predators were counted | \nMohamed and Nabil [28] | \n||
Pineapple | \nInfested small branches were collected in cloth bags and the predators were counted in the laboratory | \nGonzález-Hernández et al. [29] | \n||
Sugarcane | \nInsect larvae were collected and reared in the laboratory until emergence of parasitoids | \nSallam et al. [30] | \n||
Pine trees | \nGonzález-Hernández et al. [29] | \n|||
Pigeonpea ( | \nSayed [26] | \n|||
Abandoned orchards and Wild plants | \nScale insect-infested plant parts were examined for collecting predators. Adult NEs were collected using an aspirator and dropped into jars. | \nErler and Tunç [31] | \n
Examples of collection techniques of natural enemies.
Collection techniques depend on many factors like pest species, host plant, type of natural enemy, habit, time, weather and others.
\n\nPlant leaves are picked up and transferred in cloth bags to the preservation greenhouses where emerged natural enemies could be classified and maintained. Infested leaves containing parasitized insects of mulberry trees were picked up and transferred to the laboratory; then the parasitoids were counted after their emergence [25]. Leaves of tomatoes or potatoes infested with leaf feeders
Leaves and/or branches (shoots) are picked up from trees and beaten in cloth or paper bags; then they were transferred to preservation greenhouses. Hendawy et al. [25] used this method for sampling predators and parasitoids of mealybug on mulberry trees. Small branches of pine trees were beaten in cloth bags and transferred in the laboratory for surveying mealybug natural enemies [28]. Also mango trees were sampled by the same methods for monitoring the natural enemies of
Sweeping net technique is a common technique for collecting parasitoids and predators such as Chrysopid, Syrphid and Coccinellid species from vegetable and field crop plants. Sayed [30], ELbehery [26], and Badr [31] used the sweeping net in tomato or potato fields, usually by 50 double strikes by walking diagonally across the experimental plots.
\nParasitized caterpillars or white grubs infesting roots are directly collected and transferred to preservation greenhouses where emerged parasitoids could be classified and maintained until their releases in the next season. Sallam et al. [32] collected white grubs infesting sugarcane roots and reared until parasitoid emergence. Larvae of armyworms were collected in sugarcane fields and were taken to the laboratory and fed on pieces of cane leaves until parasitoid emergence.
\nAspirator or vacuum devices are used for collecting flying natural enemies from trees, orchards, vegetable and field crops. Adult parasitoids and predators were collected using an aspirator and dropped into a jar. Erler and Tunç [27] used aspirator devices for collecting the predacious mites from orchards and wild trees.
\nPreservation greenhouses are dedicated for natural enemies rather than commercial production of crops. Preservation practices represent the cornerstone of conservation biological control. Preservation practices could be applied individually or in combination to maintain and improve efficiency of collected natural enemies. The currently applied practices for preservation of natural enemies in different fields are summarized in Table 2.
\nCrop | \nNatural enemy | \nPest | \n\n | Practice | \nReferences | \n
---|---|---|---|---|---|
Sweet pepper, ornamental crops | \nSyrphids lacewings hoverflies Predatory mites, | \nWhite flies, thrips, aphids | \nPlants providing pollen and plant sap as food sources for natural enemies like sweet alyssum, coriander, | \nBozsik [33]; Coll and Guershon [34]; Symondson et al. [35]; Pineda and Marcos-Garcıa [36]; Igarashi et al. [37] Waite et al. [38] | \n|
Cucumber, chrysanthemum | \npredatory mites | \nThrips, whitefly | \nSpraying or dusting artificial or natural food supplements onto the crop. i.e. corn pollen, apple pollen, | \nvan Rijn et al. [39]; Hulshof et al. [40]; Wade et al. [41] Nomikou et al. [42]; Adar et al. [43, 44]; Delisle [45] | \n|
Cereal crops | \nAphid parasitoids | \nCereal aphids | \nIntroducing non-crop plants harbouring the prey species | \nArno et al. [46]; Frank [47]; Huang et al. [17] | \n|
Chrysanthemum | \nPhytoseiid predatory mites | \nSpider mite | \n4 | \nApplying yeast and sugars for astigmatic mites that are suitable prey for phytoseiid predatory mites | \nMesselink et al. [48–50] | \n
Sweet pepper | \nPredatory mites | \nSpider mite | \nArtificial field rearing sachets containing bran, sugars, starch, yeast and/or saprophytic fungi, for feeding preys | \nKühne [51]; Sampson [52]; Wright [53]; Baxter et al. [54]; Bolckmans et al. [55] | \n|
Sweet pepper | \npredatory mites | \nspider mites | \nInoculating plants with low levels of pests early in the season and release predators afterwards to help their establishment. | \nMarkkula and Tiittanen [56]; Messelink et al. [57] | \n|
Ornamentals | \nthrips | \nMixed diet of prey, or mixes of prey and non-prey food sources | \nButler and O’Neil [58] | \n||
Rose plants | \npredatory mites | \nSpider mites | \nProviding oviposition sites and shelters: Sweet pepper was used by predatory mites for oviposition. | \nWalter [59]; Parolin et al. [60] | \n|
Tomato, sweet pepper | \nGeneral mired predators, | \nwhitefly, leaf miners, | \nPlanting suitable non-crop plants near fields that help natural enemies to migrate into fields | \nThierry et al. [61]; Bosco et al. [62]; Perdikis et al. [1]; Ingegno et al. [63] | \n|
Cotton, wheat, tomato | \nAphids, thrips, leaf-feeders | \nInduced plant responses that attract and/or retain natural enemies | \nPare and Tumlinson [64]; Turlings and Wäckers [65]; El-Wakeil et al. [66, 67] | \n||
Different crops | \nAphid parasitoids, chrysopids | \naphids | \nApplying semiochemicals for increasing efficacy of natural enemies | \nGlinwood et al. [68]; Kunkel and Cottrell [69]; Simpson et al. [70]; Kaplan [71] | \n|
Wheat | \nAphids, thrips, leaf-feeders | \nMitigation of pesticide side-effects by selecting pesticides that are compatible with natural enemies | \nEl-Wakeil et al. [72, 73] | \n
Examples of preservation practices of natural enemies in different crops.
Practices of preservation of natural enemies are many and vary according the types of natural enemies, the target pests, the plants and the ecological conditions.
\nMany plants can provide food sources for natural enemies like nectar, pollen and plant sap but the effect of these food sources depends on the type of predator/parasitoid. Specialist natural enemies reproduce only in the presence of their specific prey/host species. However, most other natural enemies are feeding on both plant resources and prey [34]. Wäckers et al. [9] stated that adults of parasitoids and gall midges can increase their longevity, flight activity and oviposition by feeding on nectar. General predators consume multiple prey types and may feed also on nectar and pollen provided by plants [9, 13, 34, 35, 37, 74]. Adding some flowering plants like sweet alyssum and coriander to a sweet pepper crop resulted in higher densities of hoverflies [36]. Plants that produce a lot of pollen, like
Artificial or natural food supplements can be sprayed or dusted onto the crop to support natural enemies in crops where nectar and pollen are absent or only present at low densities [41]. For example, pollen sprays can serve as food for predatory mites and enhance their efficacy against thrips and whiteflies on cucumber [39, 42]. Corn pollen is also suitable for increasing populations of
The use of alternative prey/host plant species for the preservation of released natural enemies in many crops has been of interest for biological control of insect pests [17]. A widely applied system in different crops has been the use of monocotyledonous plants with cereal aphids that serve as alternative hosts for parasitoids of aphids that attack the dicotyledon crop [17, 47]. Prey/host plants can also be established on the edges of the field to bridge non-crop periods and contribute to the preservation of natural enemies [46]. Some alternative prey species that are not harmful to the crop may support their natural enemies [11, 81–84]. Woody habitats (hedgerows, field margins) often provide a more moderate microclimate than the centre of fields, protecting natural enemies against extreme temperature variations [14, 85, 86].
\nThe application of yeast and sugars in chrysanthemum maintained populations of astigmatic mites that are suitable prey for phytoseiid predatory mites [48, 49].
\nRearing natural enemies in controlled conditions has been developed into artificial rearing units for some natural enemies. For example, rearing sachets containing bran with saprophytic fungi for feeding astigmatic mites (prey) were used for rearing predatory mites [51, 52]. Many modifications with different types of preys, predatory mites, food sources for astigmatic mites such as sugars, starch, yeast and types of sachets have been developed [53–55]. Such units may produce predatory mites for 3–6 weeks [54]. This could be optimized by balancing the rate of predator, prey and food in the rearing unit [55].
\nA risky method to support natural enemies is the release low levels of pest species into crops. Inoculating plants with a low level of spider mites early in the growing season and release predators afterwards enhanced the establishment of predatory mites in the crop [56]. Currently, this method is mainly used in sweet pepper crops [50, 57]. Thus, allowing low levels of pests, in numbers insufficient to cause crop damage, might contribute to natural enemies preservation.
\nThe population of natural enemies in crops can be increased by providing mixed diets of prey and/or non-prey food sources. Survival and reproduction of
Suitable oviposition sites are essential for reproduction of many predators.
A number of plants are considered as refuges for natural enemies [59, 95]. For example, the vein axils of sweet pepper plants are used by predatory mites for oviposition which reduced cannibalism and increased survival by providing such suitable microclimate [59]. Adding
Mirid predators often migrate from non-crop plants into tomato fields, where they add to the control whiteflies, leaf miners and
Induced plant resistance against insects includes direct traits, such as the production of toxins and feeding deterrents that reduce survival, host preference, fecundity or developmental rate of pests and indirect traits, which attract and/or retain natural enemies [64, 65]. The latter contains traits such as the plant producing volatiles and floral nectar [98]. Insect-induced plant volatiles help natural enemies to detect their prey/hosts in a crop [23, 64, 99], whereas floral nectar production is increased in response to insect attack, guiding natural enemies to find their prey/hosts [100]. Preservation of natural enemies might be enhanced in different crops by breeding varieties that produce more volatiles and nectar [65, 101].
\nBehaviour of natural enemies is directed by semiochemicals. Attraction of natural enemies with synthetic compounds, similar to plant volatiles, is being tested in crops [71]. Natural enemies may also respond to odours that are produced by their prey/host species, such as sex pheromones or alarm pheromones. Sex pheromones are used either to monitor or mass trapping pest populations. However, volatiles for improving natural enemy performance are so far not applied in many crops. Glinwood et al. [68] mentioned that pheromones could be used to treat clusters of aphid infested plants in fields, which might increase efficacy of released parasitoids. Lures may also be used to attract released natural enemies in order to help them establish. Applying attractants in combination with food sprays may promote oviposition of released chrysopid predators into the target crop [69]. Hexane extract of corn borer larvae was applied on corn plants to enhance performance of larval parasitoid
Preservation of natural enemies should not be combined with pesticides, as most pesticides have lethal effects on NEs. Mitigation of side-effects on preservation of natural enemies can be realized by selecting pesticides that are compatible as possible with natural enemies.
\nFinally, with transfer of collected natural enemies into greenhouse with environmentally safe conditions, where these natural enemies can be fed on the pollen and nectar of flowering crops (clover and alfa alfa), these plants will provide shelter for the natural enemies. This procedure will be continued until the next crop season, where the proper site and time of release.
\nBalzan and Moonen [103] mentioned that studying field margin vegetation enhances biological control agents in addition to crop damage suppression from many insect pests in tomato fields. They suggested that these habitats may be important during early crop colonization by natural enemies. These results indicate that the inclusion of flower strips enhances the preservation of arthropod functional diversity in ephemeral crops, and that diverse mechanisms are important for controlling different pests. However, the efficiency of habitat management is likely to be better when it is complemented with the preservation of diverse seminatural vegetation in the pre-existing field margin. Therefore, the field margin should be considered and evaluated before the inundative release strategy [1, 74, 104, 105].
\nRelease techniques are varied according the type of biocontrol agents, host plants, weather conditions. For example, egg parasitoids are released as parasitized egg patches; larval parasitoids are released as adults. Predators are usually released in the pupal stage. Timing, rate and frequency of release are determined according to the nature of the target pests, natural enemies and crops. Pathogens like entompathogenic nematodes could be applied as sprays or injection [22, 106, 107]. Examples of cases of NE field releasing are summarized in Table 3.
\nCrop | \nNatural enemy | \nPest | \nRelease technique | \nReferences | \n
---|---|---|---|---|
Tomatoes | \nEgg parasitoids (29 starins) | \nPaper cardboard or strips containing about 400 parasitized eggs of | \nAlomar and Albajes [108]; Cônsoli et al. [109]; Chailleux et al. [110, 111]; El-Arnaouty et al. [112]; Balzan and Moonen [103] | \n|
Cabbages | \nReleasing control | \nAbbas [113] | \n||
Olive fields | \na dose of 3000 wasps/card x 3 cards/tree was applied (8 releases) | \nAgamy [114] | \n||
Grape orchards | \n50 and 75 cards/ ha, each card contain 1000 parasitoids (5 release) | \nIbrahim [115] | \n||
Cotton | \nBollworms | \nReleasing cards, each contain 1000 parasitoid for several times | \nEl-Wakeil [66]; Abdel-Hafez et al. [116]; Andrade et al. [117] Saad et al. [118] | \n|
Sugarcane fields | \n30,000–120,000 parasitoids per Feddan were released (5 releases) | \nAbbas [119] Tohamy [120] | \n||
Rice | \nInvestigating performance of 4 Chinese on | \nJiang et al. [121]; Yuan et al. [122] | \n||
Maize | \nLarval parasitoids | \nCorn borers | \nLarval and pupal parasitoids are released in the pupal stage on special carriers like talc powder | \nZaki et al. [102] Loni et al. [123]; Ferracini et al. [124]; Zappalà et al. [125];Biondi et al. [126, 127] | \n
Tomatoes | \n\n | \n | \n | |
Tomatoes | \nWhitefly parasitoids | \nWhitefly | \n237,000 are released as parasitized pupae shortly before adult emergence | \nAbd-Rabou and Abou-Setta [128]; van Lenteren and Martin [129]; Gerling et al. [97] Abd-Rabou [130] Simmons and Abd-Rabou [131] | \n
Tomato and cotton fields | \ntomato fields | \nHoelmer [132]; Joyce et al. [133]; Gabarra et al. [134] | \n||
Cabbage, Faba bean, Oleander | \nAphid parasitoids | \n20 parasitoids/200 aphids per cage | \nSaleh [135] | \n|
Different orchards | \nScale insect parasitoids | \nSoft scale insects | \nAbout 953,000 | \nAbd-Rabou [136–139] | \n
Ornamental plants | \nMealybug parasitoids | \n300,000 parasitoids in parasitized individual stage were released | \nAwadallah et al. [140]; Roltsch et al. [141] | \n|
Tomatoes | \nInsect predators | \nwhitefly | \nPredators release in pupal stages to control both insects | \nGabarra et al. [142] | \n
Tomotaoes and Pepper | \nPredacious mites phytoseiid predator | \nSpider mites whiteflies | \n\n | El-Laithy [143]; | \n
\n | \n | \n | Predators release in pupal stages | \nMesselink et al. [49, 57] | \n
Maize | \nCombination Trichogramma Entomopathogenic nematodes | \nCorn borers | \n20 and 30 cards (1000 parasitized eggs/ card)/ acre (3 releases) The infested plants were sprayed with (500 and 1000 IJs/ml) of | \nEl-Sherif et al. [144]; Kfir [145]; Saleh et al.1995 [158]; Ragab et al. [146]; El-Wakeil and Hussein [22] | \n
Date palms | \nEntomopathogenic nematodes | \nRed palm weevil | \nSpraying EPNs around infested tree trunks | \nSaleh et al. [147] | \n
Release techniques regularly used for various natural enemies in different crops.
The common techniques of releasing egg parasitoids are paper cards or strips holding the parasitized eggs. Cardboard strips containing parasitized eggs in tubes were released in tomatoes for controlling
Bollworms are causing highly infested boll in cotton;
Larval and pupal parasitoids are released in the pupal stage. Parasitized pupae just before emergence are carried on special carriers like talc powder and distributed in the target fields. Releasing
Aphid parasitoids are released as parasitized mummies of aphid host. Semi-field experiments were carried out to evaluate the performance of releasing parasitoid species
Parasitoids of scale insects are released as parasitized host individuals. About 953,000 of
Parasitoids of mealybug are released as parasitized host individuals.
General predators (lacewings and lady beetles) are released in the pupal stage with the suitable carriers. These general predators are used commercially for regulating many insect and mite pests.
Individuals of predacious mites carried on special materials are released for regulating spider mites and whiteflies in tomato and pepper in the greenhouses [49, 57].
\nNatural enemies may be released in integration with each other to regulate one or set of insect pests. Entomopathogenic nematodes (EPNs) and
Entomopathogenic nematods are injected in tunnels made by the red palm weevil larvae or sprayed around the trunks of infested trees to control the pest adults [147].
\nEvaluation of preservation biological control practices varies according to the pest, natural enemy species and target crops. Evaluation items include crop assessment, crop damage, pest and natural enemy populations. These evaluation criteria may include natural enemy efficiency and persistence in the target fields, predation rates, parasitization rates and pest population reduction. For field experiments, the standard equation of Henderson and Tilton [157] will be used. This equation is applicable for evaluating insect and natural enemy population, damage level and yield.
\nPopulations of natural enemies are subjected to continuous deterioration especially in modern agricultural systems characterized by complete removal of plants after harvesting. Conservation biological control is the protection of NEs against adverse effects of pesticides and incompatible cultural practices and improving their efficiency via providing food sources. During non-crop periods, natural enemies may be in need of benefit from pollen and nectar. Preservation of natural enemies can be achieved by providing habitat and resources for natural enemies. This chapter aimed at discussing a suggested strategy for more efficient conservation biological control comprising (1) collection of natural enemies before the end of crop season, (2) preservation of collected natural enemies in special greenhouses during non-crop periods and (3) releasing the preserved natural enemies on target crops in the next growing season. The collection is mainly conducted before crop harvest but also could be done during the growing summer season and during winter from fruit orchards and permanent crops. Collection of natural enemies may be done in annual crops, fruit and vegetable orchards, landscape, abandoned plants and bushes.
\nPreservation greenhouses are dedicated for natural enemies rather than commercial production of crops. Practices of preservation of natural enemies vary according to the types of natural enemies, the target pests, the plants and the ecological conditions. Many plants can provide food sources for natural enemies like nectar, pollen and plant sap but the effect of these food sources depends on the type of predator/parasitoid. Artificial or natural food supplements can be sprayed or dusted onto the crop to support natural enemies in crops where nectar and pollen are absent or only present at low densities. Introducing plants harbouring the prey species is essential for the preservation of natural enemies. The application of yeast and sugars in chrysanthemum maintained populations of astigmatic mites that are suitable prey for predatory mites.
\nNatural enemies taken from preservation greenhouses are released in target crops during crop growing season. Releasing technique, rate of release, timing and frequency of release depend on the type of target pest, the crop, the natural enemies, weather condition and others. The present chapter contains many cases of releasing NE for pest regulation. The common techniques of releasing egg parasitoids are paper cards or strips holding the parasitized eggs. Larval and pupal parasitoids are released in the pupal stage. Parasitized pupae just before emergence are carried on special carriers like talc powder and distributed in the target fields. White fly parasitoids are released as parasitized pupae shortly before adult emergence. Aphid parasitoids are released as parasitized mummies of aphid host. Such a conservation biological control strategy might contribute to preserve the natural biodiversity in the agricultural environment and provide alternatives to chemical pesticides.
\nPodiatry has evolved very quickly in recent years; much progress has been made in: posturology, adapted and individualized plantar orthoses of minimal dimensions, and all with a single purpose, to restore an optimal balance [1].
The realization of customized foot supports has been suffering a constant evolution, although it has not always been accompanied by scientific criteria, but rather by clinical experiences.
Currently, orthopedic treatments are highly demanded by patients and have a high prescription rate in the pathology of the adult foot, whether metatarsalgia (forefoot pain) or talalgia (back pain). In the adult, foot pain, whether due to inflammatory or mechanical causes, is very frequent and results in numerous sick leave and social disturbances [2]. Up to 10% of the population may have pain in the foot, either later or earlier in their lives [3].
In the adult, the pain of the feet, either of mechanical or inflammatory origin, is very frequent and is the cause of numerous sick leave and social upheavals.
There are numerous studies found in the literature that evaluate the efficacy of plantar orthoses, but all are focused on certain pathologies or alterations, most of these studies are focused on treating very specific alterations of the foot [4, 5, 6, 7].
The University Clinic of Podiatry (CUP) of the University of Coruña (UDC), has been providing podiatric service to a large number of patients of all types for more than 10 years, among which the vast majority have multiple pathologies that need conservative treatment par excellence, the plantar orthosis. During the years in which this type of treatment has been carried out, the satisfaction of the patients with the same or the degree of pain improvement has not been evaluated, which is why there is a need to know the satisfaction with the plantar orthosis and the evolution of the main ailment of each patient.
The performance of this study may be justified due to:
The University Podiatry Clinic (CUP) of the Universidade da Coruña (UDC) has been providing podiatric service to a large number of patients of all kinds for more than 10 years, among which the vast majority have multiple pathologies that need conservative treatment due to excellence, the plantar orthosis. During the years in which this type of treatment has been carried out, patients’ satisfaction with it and the degree of pain improvement have not been evaluated; therefore the need arises to know the satisfaction with the plantar orthosis and the evolution of the main ailment of each patient. Due to the lack of scientific evidence on the efficacy of orthotic treatments in general, the need has arisen to carry out this study, which aims to make known the estimated reality of the state of the patients we treat, to know their satisfaction with the prescribed treatment and if the same, it has been useful in the disappearance of the pain manifested at the beginning of the consultation.
With the aim of determining the effectiveness and satisfaction with orthopodological treatments in users of the University Clinic of Podiatry (CUP) of the University of Coruña, this study is carried out.
An observational retrospective follow-up study was carried out in the university podiatric clinic (CUP) of the University of Coruña (UDC), located in the Naval Hospital of Ferrol (A Coruña). Those patients who came for the first time to the orthopedic service of the University Clinic of Podiatry in the period between September and December 2017 and who gave their written consent to the data collected in the medical history could be used were included in the study for research purposes.
Included in this study were: Patients who attended the orthopodology service of the University Podiatry Clinic of the University of La Coruña for the first time in 2017. Patients who gave their written consent that the data collected in the history can be used for research purposes.
Exclusion criteria: The following were excluded from the study: Patients who did not undergo any orthopedic treatment. Patients whose medical records show that they did not give their written consent that the data collected in the record can be used for research purposes.
We included 125 patients who met the inclusion and exclusion criteria. This sample size allows us to know the effectiveness of the treatment and patient satisfaction with an accuracy of ±8.8% and 95% safety.
The following sociodemographic and clinical variables were studied from each clinical history:
Sociodemographic variables: Age, sex.
Anthropometric variables: Weight, height, body mass index.
Clinical variables: Reason for consultation: forefoot pain, hindfoot pain.
Diagnosis: plantar fasciitis, calcaneal spur, metatarsalgia, flat/pronged foot, first radius insufficiency, others.
Treatment: accommodative plantar orthosis, corrective/functional plantar orthosis.
Treatment objectives: supination control, pronation control, support damping, selectively discharging, compensating for differences (Figure 1).
Rearfoot control.
Evaluation of the treatment: In the university clinic of Podiatry of the University of La Coruña, the patients, once the orthopedic treatment has been performed and delivered, the following revisions are made: revision to the month, to the 3 and to the 6 months, and in them it is evaluated: The degree of use of the treatment (it is not used, if it is used and how long), the satisfaction with the applied treatment (little, enough or very satisfied) and the evolution of the main ailment (worsens, without difference, improves slightly or notably).
The effectiveness of the treatment was evaluated by the evolution of the main ailment, according to the self-reported by the patient. Satisfaction with the treatment applied was also recorded according to what was recorded in the clinical history.
The study is authorized by the UDC ethics committee (EC 05/2016). All patients included in the study have previously given their consent for the use of their medical history for research purposes.
A descriptive analysis of all the variables collected was carried out.
The degree of use of treatment, the satisfaction with it and the evolution of pain were analyzed at month, at 3 months and at 6 months. To do this, tests were used for paired data, using the Student t test or the Wilcoxon signed rank test for numerical variables and the McNemar test for qualitative variables.
The variables related to the effectiveness and satisfaction with the applied treatment were also analyzed. To do this, we used the Student t-test or the Mann–Whitney test for numerical data and the chi-square test or Fisher’s exact test for the comparison of percentages. The correlation between quantitative parameters was performed with Spearman’s rho correlation coefficient. The normality of the variables was determined by the Kolmogorov–Smirnov test.
Of the 125 patients included in the study, there was a predominance of males versus females (54.4% vs. 45.6%), with a mean age of 46.0 ± 19.2 years. The body mass index was 28.0 ± 6.2 kg/m2, with a median of 27 and a range of 13.8 to 45.3 kg/m2.
Regarding the reason for consultation, the most frequent was hindfoot pain (58.2%) followed by forefoot pain (41.8%). Regarding the diagnosis, the most frequent was plantar fasciitis (29.7%), followed by metatarsalgia (18.6%). The type of orthotic treatment performed most frequently was the corrective (68.5%), followed by the accommodative (31.5%). In relation to the treatment objectives, the most frequent was the control of pronation (52.3%), followed by the cushioning of supports (18.9%) (Table 1).
n | % | Mean(SD) | Median | Min-Max | |
---|---|---|---|---|---|
125 | 100% | 46 (19.2) | 51 | 2–81 | |
125 | 100% | ||||
Man | 68 | 54.4% | |||
Woman | 57 | 45.6% | |||
105 | 74.9(19.49 | 73 | 11–132.4 | ||
103 | 164.1(12.6) | 165 | 126–193 | ||
103 | 28(6.2) | 27 | 13.8–45.3 | ||
110 | |||||
Back pain | 64 | 58.2% | |||
Forefoot pain | 46 | 41.8% | |||
118 | |||||
Fasciitis | 35 | 29.7% | |||
Spur calcaneal | 2 | 1.7% | |||
Metatarsalgia | 22 | 18.6% | |||
Flatfoot | 15 | 12.7% | |||
Insufficiency first radio | 5 | 4.2% | |||
Others | 39 | 33.1% | |||
111 | |||||
Accommodative | 35 | 31.5% | |||
Corrective | 76 | 68.5% | |||
111 | |||||
Pronation control | 58 | 52.3% | |||
Supination control | 13 | 11.7% | |||
Cushion props | 21 | 18.9% | |||
Download supports | 15 | 13.5% | |||
Compensate differences | 4 | 3.6% |
Description of the general characteristics of the patients attended in the study period, reasons for consultation and applied treatment.
BMI: body mass index.
The degree of use of the orthosis, satisfaction and evolution of pain during the follow-up are shown in Table 2. In the majority of patients the degree of use was 4–8 hours in the first month as well as in the third and sixth months (75.9%, 77.8% and 75% respectively). Regarding the satisfaction with the treatment, almost two thirds of the patients treated said they were very satisfied with the treatment that has been performed in the first month as well as in the third and sixth (61.2%, 63% and 50% of the patients respectively). And if we evaluate the evolution of pain it is observed that most of the patients have experienced improvement of their pain (noticeable or slight).
1 month | 3 months | 6 months | ||||
---|---|---|---|---|---|---|
n | % | n | % | n | % | |
54 | 100% | 27 | 100% | 28 | 100% | |
Null | 2 | 3.7% | 0 | 0% | 0 | 0% |
Occasional | 3 | 5.6% | 0 | 0% | 0 | 0% |
Daily | 8 | 14.8% | 6 | 22.2% | 7 | 25% |
<4 hours | 0 | 0% | 0 | 0% | 0 | 0% |
4–8 hours | 41 | 75,9% | 21 | 77.8% | 21 | 75% |
54 | 100% | 27 | 100% | 28 | 100% | |
Nothing satisfied | 4 | 7.4% | 1 | 3.7% | 0 | 0% |
Little satisfied | 6 | 11.1% | 4 | 14.8% | 5 | 17.9% |
Pretty satisfied | 11 | 20.4% | 5 | 18.5% | 9 | 32.1% |
Very satisfied | 33 | 61.2% | 17 | 63% | 14 | 50% |
54 | 100% | 27 | 100% | 28 | 100% | |
Gets worse | 3 | 5.6% | 1 | 3.7% | 0 | 0% |
Without difference | 8 | 14.8% | 4 | 14.8% | 4 | 14.3% |
It slightly improves | 12 | 22.2% | 6 | 22.2% | 11 | 39.3% |
Significantly improves | 31 | 57.4% | 16 | 59.3% | 13 | 46.4% |
Degree of use of the orthosis, satisfaction and evolution of pain during follow-up.
Considering the evaluation that the patients made of the satisfaction with the orthosis and of the evolution of the pain in its first review in the clinic (independently of whether it was at one month, three months or six months after treatment) (Table 3). 81.8% of them were quite or very satisfied with the treatment, and they also reported a slight or notable improvement in the pain they experienced.
Nothing/little satisfied | Quite/ very satisfied | ||||
---|---|---|---|---|---|
Mean (SD) | Median | Mean (SD) | Median | p | |
57.3 (16.8) | 59.5 | 44.9 (18.8) | 47 | 0.026 | |
29.4(5.7) | 31.2 | 27.6 (5.9) | 26.5 | 0.132 | |
0.232 | |||||
Man | 6 | 13.6% | 38 | 86.4% | |
Woman | 8 | 24.2% | 25 | 75.8% | |
0.172 | |||||
Back pain | 11 | 23.4% | 36 | 76.6% | |
Forefoot pain | 3 | 10.7% | 25 | 89.3% | |
— | |||||
Fasciitis | 3 | 13.6% | 19 | 86.4% | |
Spur calcaneal | 0 | 0% | 2 | 100% | |
Metatarsalgia | 3 | 23.1% | 10 | 76.9% | |
Flatfoot | 3 | 25% | 9 | 75% | |
Insufficiency first radio | 1 | 25% | 3 | 75% | |
Others | 4 | 16.7% | 20 | 83.3% | |
0.745 | |||||
Accommodative | 3 | 13.6% | 19 | 86.4% | |
Corrective | 11 | 20% | 44 | 80% | |
Pronation control | 9 | 21.4% | 33 | 78.6% | |
Supination control | 2 | 22.2% | 7 | 77.8% | |
Cushion | 1 | 9.1% | 10 | 90.9% | |
Download supports | 2 | 16.7% | 10 | 83.3% | |
Compensate differences | 0 | 0% | 3 | 100% |
Analysis of the satisfaction of patients with the treatment at the first visit that come to review the clinic, according to different variables.
BMI: body mass index.
With reference to age, a statistically significant difference in age was observed between satisfied and unmet patients, with significantly younger patients being satisfied than those with little or no satisfaction (44.9 vs. 57.3 years; p = 0.026).
In turn, patients less satisfied with the treatment showed higher BMI values, although without statistically significant differences (29.4 vs. 27.6, p = 0.132).
A greater percentage of satisfaction with the orthosis was observed in men than in women (86.4% vs. 75.8%, p = 0.232), as well as in patients who consulted for forefoot pain compared to those who presented pain of hindfoot (89.3% vs. 76.6%, p = 0.172), although in none of the cases did the differences reach statistical significance. There were also no differences in the degree of satisfaction according to the established diagnosis, the type of treatment or its objective (Table 3).
The evolution of pain self-reported by patients after treatment with the orthosis, according to different variables, is shown in Table 4. Patients who report mild or notable improvement are significantly younger (44.8 vs. 57.8 years, p = 0.018) and have a lower body mass index (27.5 vs. 29.8 kg/m2; p = 0.061), although in this case without reaching statistical significance. Again men report a greater percentage of pain improvement than women (86.4% vs. 75.8%, p = 0.232), as well as patients with forefoot pain compared to those who complain of hindfoot pain (89, 3% vs. 76.6%, p = 0.172), although these differences are not statistically significant. The established diagnosis, the type of treatment applied or the objective of the treatment are not associated with the degree of pain improvement (Table 4).
Worse/no difference | Improvement slightly/noticeably | ||||
---|---|---|---|---|---|
Mean (SD) | Median | Mean (SD) | Median | p | |
57.8 (16.9) | 59.5 | 44.8 (18.7) | 47 | 0.018 | |
29.8 (5.38) | 31.2 | 27.5 (5.9) | 26.4 | 0.061 | |
0.232 | |||||
Man | 6 | 13.6% | 38 | 86.4% | |
Woman | 8 | 24.2% | 25 | 75.8% | |
0.172 | |||||
Back pain | 11 | 23.4% | 36 | 76.6% | |
Forefoot pain | 3 | 10.7% | 25 | 89.3% | |
Fasciitis | 3 | 13.6% | 19 | 86.4% | |
Spur calcaneal | 0 | 0% | 2 | 100% | |
Metatarsalgia | 2 | 15.4% | 11 | 84.6% | |
Flatfoot | 3 | 25% | 9 | 75% | |
Insufficiency first radio | 1 | 25% | 3 | 75% | |
Others | 5 | 20.8% | 19 | 79.2% | |
0.745 | |||||
Accommodative | 3 | 13.6% | 19 | 86.4% | |
Corrective | 11 | 20% | 44 | 80% | |
Pronation control | 9 | 21.4% | 33 | 78.6% | |
Supination control | 2 | 22.2% | 7 | 77.8% | |
Cushion | 0 | 0% | 11 | 100% | |
Download supports | 3 | 25% | 9 | 75% | |
Compensate differences | 0 | 0% | 3 | 100% |
Analysis of the evolution of pain with self-reported treatment by patients at the first visit to which they come to review the clinic, according to different variables.
BMI: body mass index.
In the present study we have tried to verify that the plantar orthosis is a conservative method of treatment that has been used in patients of all ages, and in multiple foot pathologies. 81.8% of the patients who attend the CUP are satisfied with the treatment main ailment has improved, compared to 18.2% who are not satisfied and their ailment remains the same. Patients who have improved are relatively younger, and with lower BMI.
The effectiveness of the orthoses performed at the University Clinic of Podiatry of the University of La Coruña, has been demonstrated in this study, where in most cases the satisfaction of patients, and the evolution of self-reported pain has improved.
In a review found in the literature, it is shown that in adults with different pathologies such as cavus foot, rheumatoid arthritis (RA), the custom-made foot orthosis reduces the patient’s pain [4].
This review focuses only on tailor-made foot orthoses, which are defined in this review as removable, anatomical devices that are placed inside the footwear and are molded or manufactured from a foot print and manufactured according to the specifications prescribed by the doctor, in this case a podiatrist.
Foot pain may be experienced after an injury; overuse in the long term; infection; or systemic diseases that include any foot tissue, including bones, joints, ligaments, muscles, tendons, nerves, skin and nails. Foot pain can be generalized or diagnosed more specifically according to location (eg, heel pain), structure (eg, ligament or tendon damage) or disorder (eg, osteoarthritis) [8].
In another review found [9] carried out in children, the effect of non-surgical treatments for flatfoot is proven and shows that in children with flat feet and juvenile idiopathic arthritis, customized foot orthoses can slightly improve pain and function of the foot. Currently, the evidence from randomized controlled trials is too limited to draw definitive conclusions about the use of nonsurgical interventions for pediatric flatfoot. Future trials of high quality in this field are required. Only limited interventions that are frequently used in practice have been studied and there is much debate about the treatment of symptomatic and asymptomatic flatfoot [9].
We found several studies that speak about the use of plantar orthoses for the flatfoot [10, 11, 12] and the results of the studies speak of improvement in plantar pressures, as well as in the control of anomalous movements.
There are numerous studies in the literature that speak about the effects of plantar orthoses, both in the population with previous pathology such as arthritis, osteoarthritis, diabetic population, plantar fasciitis [13, 14, 15, 16, 17, 18], as well as in people who practice sports and the effect that orthosis produces in the practice of certain sports practice [15].
For example, in the studies carried out by Hähni M [19] and Munteau S [20], the effectiveness of plantar orthoses in reducing plantar pressures and Achilles tendinopathies is highlighted.
It has been shown in the study by Coheña-Jiménez [7] that treatment with plantar orthoses is effective for plantar fasciitis. There are many studies that show the benefits of orthosis treatment, it would be good to carry out more studies focused on evaluating the efficacy in the treatment of flat feet, cavus for example. It is very difficult to evaluate patient satisfaction in this sense, since in most cases they are evaluated by pain improvement, so it would be good to have other measurement systems in which we could quantify patient satisfaction.
More studies are needed to evaluate satisfaction and effectiveness of the foot orthoses made to measure for the foot, especially to check if in certain pathologies it is possible to reduce pain and overload in the plantar pressures, something that would be very beneficial for the patient.
Selection biases Selection biases may arise from the inclusion and exclusion criteria determined for the execution of the study. In our case, they will also be determined by the patients’ decision to participate. To minimize these biases, the results will be compared with those of other similar studies.
Information biases: Information biases arising from how the data were obtained may occur: Variability produced by the type of procedure or test used to carry out the examinations, these biases can be minimized, as far as possible, through the establishment of validated questionnaires, calibrated instruments, training of observers.
Confusion biases Due to the absence of variables in the data collection that should have been taken into account for the realization of this study and that are not included due to ignorance of them. To minimize this bias, a multivariate logistic regression analysis will be performed.
The profile of the patient who consults in the podiatric clinic of the UDC for an orthopodological treatment is a male around 50 years of age, who consults for hindfoot pain. The most frequent diagnosis is that of plantar fasciitis and the orthotic treatment performed the corrective to control pronation.
The majority of patients use the orthosis between 4 and 8 hours a day, showing a high satisfaction with the treatment and improvement in the evolution of pain.
The degree of satisfaction is significantly associated with age, with younger patients being more satisfied. Greater satisfaction is observed in males, in patients with forefoot pain and lower body mass index, although without significant differences. The degree of satisfaction is not associated with the diagnosis, type and objective of the treatment.
The improvement in pain is significantly associated with age, the patients who show improvement with the pain younger. Men, with forefoot pain and lower body mass index, reported a greater degree of improvement, although without significant differences. The improvement of pain is also not associated with the diagnosis, type and objective of the treatment.
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That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in