Security checklist for evaluating the framework.
\r\n\tAbout 25 percent of all foods produced globally are lost due to microbial growth. L. monocytogenes is a microorganism ubiquitously present in the environment and affects animals and humans. L. monocytogenes can enter a factory and is able to survive in biofilms in the food processing environment. The use of adequate sanitation procedures is a prerequisite in risk prevention. Moreover, effective control measures for L. monocytogenes are very important to food operators.
\r\n\r\n\tThe safety and shelf life maximizing of food products to meet the demand of retailers and consumers is a challenge and a concern of food operators.
\r\n\r\n\tTo obtain food systems more sustainable, several developments are ongoing to ensure safe food products with an extended shelf life and a reduction of food loss and waste. The problem of antimicrobial resistance is also a great issue that must be taken into consideration.
\r\n\r\n\tThe implementation of natural antimicrobials, using food cultures, ferments, or bacteriophages, is one approach to control L. monocytogenes in food products that meet the consumer preference for clean label solutions.
\r\n\tThis book intends to provide the reader with a comprehensive overview of the current state-of-the-art about Listeria monocytogenes in terms of occurrence in humans, animals, and food-producing plants. Its control by more natural agents allows for more sustainable food systems and points future directions to transform challenges into opportunities.
Plants are attached to the ground by the roots for water and nutrient supply and fixed at one place, so they have to face various abiotic stresses such as temperature, water availability, salt concentrations, etc. This is a common environmental stress which impacts productivity of the plants worldwide. Along with abiotic stresses, plants also face injuries by herbivory and insects that chew on plants. Once the plant faces mechanical damage by insects, a lot of changes occur in the plant [1]. In case of biotic stress, immediately after wounding by pest changes occur in the damaged area, which can be systematic (in the non-wounded areas) or local (in the tissues directly damaged). Once the injury occurs, metabolic changes, physiological changes and induction of gene expression started taking place [2]. The response to stress is not simple, rather involves different mechanisms and molecules. The strength and type of response depend upon plant species, developmental stage, nature of stress and environmental conditions. Plant develops, coordinates and combines all the defence mechanisms to cope with the challenges caused by the injuries [1, 3, 4].
The plant family
Various biotic and abiotic factors activate the defence system in plants, and these result in significant variation in the plant metabolome. These factors result in enhanced production of certain metabolites, e.g., amino acids, sugars, indoles, phenolics including glucosinolates. Glucosinolates production in stressed plants is seen to be enhanced, and they have a crucial role to play in mitigating the negative effect of stress. The concentration and type of glucosinolates and their hydrolysis in plants are affected by many factors, such as age, abiotic stress such as heavy metal, water availability, postharvest storage signalling molecules [10, 11]. These play an important role in abiotic stress. Their levels change in response to a variety of abiotic stress tolerances [12]. They also play an important role in plant-insect interactions. Their levels also change in response to herbivory in plants [13].
Plants synthesise a variety of secondary metabolites that do not seem to have any essential role in plants, but presence of these compounds plays a very important role in plants and has many advantages, especially in defence. Glucosinolates, a class of secondary metabolites mainly found in Brassica family, are nitrogen and sulphur-containing compounds derived from amino acids such as methionine, alanine, valine or leucine (aliphatic); phenylalanine or tyrosine (aromatic) and tryptophan (indolic glucosinolates). These glucosinolates are usually increased in different biotic or abiotic stress conditions and play an important role in plant defence in these unfavourable conditions [14].
During growth, plants are exposed to various biotic (herbivory, fungal, bacterial and/or viral infection) and abiotic (metals, UV, temperature) stresses. It leads to upregulation of various gene and biochemical changes, which finally results in an enhancement of the synthesis of primary and secondary metabolites. Plants have acquired various stress tolerance mechanisms, involving physiological and biochemical changes that result in adaptive or morphological changes [15]. It was also found that plants respond to abiotic stress by accumulating higher or lower levels of Glucosinolates. The intensity and duration of the abiotic stress, as well as the developmental stage of the plant at the moment of the imposed stress, are important factors in the accumulation of each specific Glucosinolates [16, 17].
The mechanism by which the plant resists these stresses with help of metabolites is unclear as their regulation is a complex process because glucosinolates synthesis pathways are linked to various other pathways making it more complex to understand its direct role. There are studies in elucidating a relationship between the metabolites and stress, but there is a strong need to study underground mechanisms as well.
One of the major abiotic stresses affecting plant growth and development is salt stress [18]. There are various ways by which plants respond to this stress conditions either by osmotic adjustments or by accumulating secondary metabolites, such as Glucosinolates [19].
In one of the studies, Broccoli was grown in greenhouse condition and was treated with NaCl (0, 40, 80, 100 mM) to study the effect of Glucosinolates in salt-stressed Broccoli. Glucosinolates were determined at three different time points (1, 3, 6 days upon treatment), and it was found that the total aliphatic and indoles were lower at 40, 80 and 100 mM NaCl applications compared with control plants determined at three different time points [20]. A study was conducted with two Broccoli cultivars
Greater accumulation of proline and glucosinolates was found with increased salinity level in Canola or oilseed rape (
Six types of Brassica rocket genotypes used for salad belonging to the
Drought is unavailability of adequate amount of water to a plant, required for its proper growth and development. Drought in agriculture field can occur due to a variety of reasons majorly including low precipitation, inadequate ground water. When
Abnormally high temperature during hot weather is again one kind of abiotic stress. Effect of high temperature depends on the duration and its intensity. Heat stress may cause various physical, physiological and molecular damage to the plants and in turn affects its productivity. In a study on
Use and need of metals in plants are important as they act as cofactors in various enzymes such as Mg2+, Mn2+, Co2+, Zn2+, but with increase in industrialisation use of heavy metals such as Hg, Pb, Cd, Ni Ba Cr which are highly toxic even at a very low concentration. There are micronutrient essential metals such as Mn, Mo, Zn, Cu, Co which are required by plants in low amounts, but they also become toxic at high concentrations. Effect of cadmium toxicity was evaluated on cabbage and kale, and it was found that glucosinolates accumulate in stems as compared with other organs such as root or leaves, which indicate that glucosinolates can play role in heavy metal stress tolerance as plants have shown no metal toxicity physically [35]. In another study,
Plant growth and development are mainly determined by sunlight. Sunlight is used in germination, development, photomorphogenesis and various other important functions in plants. But as sunlight is composed of UV-A, UV-B and UV-C, these radiations cause stress in plants. As a result of these radiation stresses, DNA damage, generation of reactive oxygen species (ROS) and many other cellular changes take place in plants. Glucosinolates also get affected by stress caused by UV light, as proven with the studies done on broccoli sprouts which were exposed to various low- and high-intensity UVA and UVB lamps for 120 min which resulted in high levels of glucosinolates in broccoli sprouts [39]. Even the combined effects of Methyl Jasmonate (MJ), UVA or UVB lights enhance the glucosinolates in broccoli sprouts [40]. As it is known from the studies that glucosinolates levels are upregulated during the UV stress [41], and it was also associated with increased biotic stress tolerance too. Low-to-medium UV-B doses were applied to sprouts of broccoli, and it was found that there was an increase in glucosinolate levels of 4-methylsulfinyl butyl GS and 4-methoxy-indol-3-ylmethyl GS. These glucosinolates in turn affect the genes related to jasmonic acid and salicylic acid signalling pathway, which ultimately leads to overexpression of bacterial and fungal pathogen-responsive genes [42].
Biotic stress in plants is caused by any living organisms, such as insects, pests, viruses, bacteria, fungi, nematodes, etc. Microorganisms damage plants by causing symptoms such as plant wilt, leaf spots, root rot, etc. Insects can cause physical damage to plants as they either chew or suck on the plants, including the leaves, stem, bark and flowers. They can also act as a vector of viruses and bacteria from infected plants to healthy plants. As plants do not have any immune systems to deal with this kind of stress, they respond to this stress by developing many changes at morphological, chemical and protein levels. The main aim of these changes is to protect the plants from foreign invaders. One such chemical is glucosinolates which get elevated in response to biotic stress for the purpose of defence in plants.
Chemically, glucosinolates are composed of thiohydroximate-O-sulfonate group linked to glucose and an alkyl, aralkyl or indolyl side chain (R). More than 200 glucosinolates have been identified in Brassica crops, and they are characterised mainly by the variable R group, which can be aromatic, indolic or aliphatic derivatives of the amino acid precursors methionine, tryptophan and phenylalanine, respectively [43, 44].
Glucosinolates play a variety of biological functions in plants [45] and get converted into various degradation products (isothiocyanates, thiocyanates, indoles, etc.), when vegetables containing them are cut or chewed because during this process, they come in contact with the enzyme myrosinase which hydrolyses them, as discussed earlier in this chapter. A sudden outbreak of these insecticidal compounds in field is called as
Studies have determined the effect of insect pest and glucosinolates levels in
Several reports exist on the toxicity of Glucosinolates hydrolysis products to bacteria and fungi. The activity of Glucosinolates and their degraded products against various strains of microorganisms has been documented by many investigators being present in the leaves of
When generalist herbivores feed on Brassica, degradation product of Glucosinolates in them, the isothiocyanates have toxic effects and function as repellents. However, specialist herbivores use Glucosinolates as attractants, and they can survive on plants containing them. For example,
It was also found that plants respond to herbivore or insect damage by systematically accumulating higher levels of glucosinolates and thus presumably increasing their resistance. Usually it is the indole glucosinolates which become induced [58, 59]. Sometimes volatiles produced by Glucosinolates provide indirect protection to plants by attracting natural enemies of herbivores such as parasitoids [60].
Lepidopteran that feeds almost exclusively on
Genetic engineering of glucosinolates biosynthesis pathway for the production of glucosinolates in non-Glucosinolates producing plants was successfully employed by [62]. Genetic transformation of
It was found that
Abiotic stress such as heat, drought and high salt and biotic stress including various attacks on plant from insects, pest or other bacterial viral disease can affect the plant in terms of physical, physiological and many other biochemical and molecular aspects, which can retard its growth and productivity.
Applications on the cloud are accessed over the internet using standard internet protocols. In deciding to store data or host applications in the public cloud, an organisation loses its ability to access the servers that store its information. In this way, potentially sensitive data are at risk from insider attacks.
\nTherefore, cloud service providers must put in place security measures to physical access to the servers in the data center and frequently monitor data centers for suspicious activity. Security and privacy challenges deriving from the use of the internet are substantial and but no different from the security issues of the applications not hosted in the cloud. The one significant security element introduced by the cloud is multitenancy [1].
\nMultitenancy is an essential cloud computing property. Multitenancy is a software architecture where one instance of a cloud offering is used to serve multiple tenants and/or components [2, 3]. Multitenancy means that your application is utilising a virtual machine on a physical computer that is hosting multiple virtual machines. There are many forms of attack utilising multitenancy- inadvertent data sharing, virtual machine escape, side channel attack, and denial of service attack.
\nUsers can require varying or different degrees of isolation between components when implementing multitenancy. To avoid interference, a high degree of insulation between components may be required, but this usually results in high resource consumption and running costs per component. A low degree of isolation promotes sharing of components, resulting in low resource consumption and running costs, but with high performance impact when the workload changes and the application does not scale up/down.
\nThe challenge therefore is how to: (i) ensure that there is isolation between multiple tenants accessing the service or components designed (or integrated) with the service; (ii) resolve the trade-offs between varying degrees of isolation between tenants or components.
\nMotivated by this problem, this study presents a framework, CLAMP (Cloud-based architectural approach for securing services through Multitenancy deployment Patterns) to securing the deployment of cloud-hosted services in a way that guarantees the isolation between tenants. The framework assumes that the issues of security are tackled from the perspective of the tenant owns software components and is responsible for configuring them to design and deploy its own cloud-hosted application on a shared cloud platform whose provider does not have control over these components.
\nWe evaluated the framework by applying it to a motivating cloud deployment problem that requires securing several components of a cloud-hosted service while guaranteeing the required degree of isolation between tenants. The research question addressed in this study is: “How can we secure the deployment of cloud-hosted services in a way that guarantees isolation between tenants”.
\nThe main contributions of this study are:
To develop a framework for securing the deployment of cloud-hosted services in a way that guarantees the isolation of tenants.
To evaluate the framework by applying it to a motivating cloud deployment problem.
To develop a cloud security checklist for guiding software architects in implementing the framework.
Present recommendations and best practice guidelines for securing the deployment of cloud-hosted services based on the framework.
Our findings show among other things that the framework can be used to select suitable deployment patterns, evaluate the effect of varying degrees of isolation on the cloud-hosted service, analyse the deployment requirements of cloud-hosted services and optimise the deployment of the cloud-hosted service to guarantee multitenancy isolation.
\nThe rest of this chapter is organised as follows. Section 2 presents an overview of cloud computing and cloud security. Section 3 presents architectures for cloud-hosted services. Section 4 presents multitenancy in a cloud environment. Section 5 discusses related work on multitenancy and cloud security. Section 6 presents a framework for securing the deployment of cloud-hosted services for guaranteeing multitenant isolation, while Section 7 evaluates the framework by applying it to a motivating cloud deployment problem. Section 8 provides further discussion and recommendations for securing the deployment of cloud-hosted services based on the framework. Section 9 concludes the chapters with future work.
\nThis section gives an overview of cloud computing and cloud security and multitenancy.
\nAccording to Armbrust et al. [4], “cloud computing refers to both the applications delivered as a service over the Internet and the hardware and systems software in the data centers that provides those.
\nservices.”
\nThe cloud includes hardware for the data centre as well as software. The cloud could either be a
Although there are so many definitions that have been given for the term cloud computing, there is common agreement on the basic characteristics of a cloud computing environment. These include [3]—pay-per-use, elastic capacity and the illusion of infinite, self-service interface, and resources that are abstracted or virtualized.
\nThere are three basic cloud service models:
\n
\n
\n
Cloud security relates to a wide range of policies, techniques, applications, and controls used to safeguard virtualized IP, information, apps, services, and related infrastructure. Cloud security is very essential for companies making the shift to the cloud and also for customers who use the cloud for a range of personal services especially as security threats continue to evolve and become more advanced. Cloud security concerns fall into two wide classifications: (i) security concerns faced by cloud providers (businesses providing software, platform, or infrastructure-as - a-service organisations through the cloud); (ii) security concerns faced by their customers (businesses or organisations that host applications or store data in the cloud). However, the responsibility is shared. There are four (4) main forms of attack that use multitenancy: inadvertent information sharing, virtual machine escape, side-channel attack, denial of service attack. The focus of this study is mostly related to inadvertent information sharing where a tenant has a set of components/resources or services which are mapped to some physical resource on the cloud platform. Under this situation, data residing on the physical resource from one tenant may be leak to another tenant.
\nCloud service suppliers often store more than one customer information on the same server in order to conserve resources (e.g., CPU, memory, storage space) reduce cost and maintain service level agreement. To handle such sensitive situations, cloud service providers usually put in place robust secure measures to ensure proper data isolation and logical storage segregation [5].
\nCloud security is the protection of data, applications, and infrastructures involved in cloud computing. Cloud security concerns can be grouped in various ways. Gartner listed seven (7) categories of cloud security. In the “data segregation” category, which is the closest to the focus of our study, the cloud is typically in a shared environment alongside data from other customers [6]. The Cloud Security Alliance identified 12 areas of concern [7]. In “Abuse and Nefarious Use of Cloud Services” category, which is the closet to our study, the focus is on the use of poorly secured cloud service deployments, free cloud service trials and fraudulent account sign-ups via payment instrument fraud expose cloud computing models such as IaaS, PaaS, and SaaS to malicious attacks.
\nThe architectures or cloud patterns used to deploy cloud-hosted services to the cloud are of great importance to software architects because they determine whether or not the system’s essential quality attributes (e.g., performance) will be exhibited [1, 8, 9].
\nArchitectural and design patterns have long been used to provide known solutions to many common problems a distributed system face [1, 10]. A system/application architecture decides whether or not it will show its necessary quality attributes (e.g., performance, availability, and security) [1, 8].
\n\n
A cloud pattern in the cloud computing environment represents a well-defined format for explaining an appropriate solution to a cloud-related problem [11]. There are several cloud problems, such as: (i) selecting an appropriate cloud type for hosting applications; (ii) selecting a cloud service delivery approach; (iii) deploying a multi-tenant service in a way that ensures tenant isolation.
\nCloud deployment architects are using cloud patterns as a reference guide to document best practice on how to plan, develop and deploy cloud-based applications.
\n\n
Our definition of cloud deployment pattern is similar to the concept of design patterns [10], (architectural) deployment patterns [1], collaboration architectures [8], cloud computing patterns [11], cloud architecture patterns [12], and cloud design patterns [13].
\nOne of a cloud deployment architect’s main duty is to assign cloud application elements to the hardware elements (e.g. processor, filesystems) and communication elements (e.g. protocols, message queues) in the cloud environment so that the necessary quality attributes can be achieved.
\n\nFigure 1 demonstrates how elements of Hudson (a typical of Global Software Development tool) are mapped to the elements of the cloud environment. Hudson operates on an Amazon EC2 instance while periodically extracts and stores the data it produces on separate cloud storage (e.g., Amazon S3).
\nMapping elements of a cloud-hosted service to the external environment.
Multitenancy is an essential cloud computing property where a single instance of a cloud offering is used to serve multiple tenants and/or components [14, 15]. One of the challenges of implementing multitenancy on the cloud is how to enable the required degree of isolation between multiple components of a cloud-hosted application (or tenants accessing a cloud-hosted application). We refer to this as
\n
Shared component: Tenants use the same instance of a resource and may not be aware that other tenants are using it.
Tenant-isolated component: Tenants share the same resource instance but are assured of their isolation. This pattern allows for the tenant-specific configuration of the functionality or resource offered.
Dedicated component: Tenants do not share resource instance. That is, each tenant is associated with one instance (or a certain number of instances) of the resource.
The degree of isolation between tenants accessing a shared component of an application can be expressed in the three multitenancy patterns (i.e., shared component, tenant-isolated component and dedicated component). The shared component reflects the lowest degree of isolation between tenants whilst the highest is the dedicated component.
\nThe three key areas where tenant isolation can be addressed in a system are: performance, stored data volume and access privileges. For example, in performance isolation, other tenants should not be affected by the workload created by other tenants. For example, other tenants should not be impacted by the workload generated by other tenants when considering performance isolation.
\nGuo et al. [16] evaluated different isolation capabilities related to authentication, information protection, faults, administration etc.
\nDifferent isolation capabilities related to faults, information protection, authentication, administration, etc., have been evaluated by Guo et al. [16]. Bauer and Adams [17] have studied how to virtualization can be used to ensure that the failure of one tenant instance does not spread into other tenant instances.
\nA high degree of isolation can be achieved by deploying an application component exclusively for one tenant. This would ensure that there is little or no performance interference between the components when workload changes. The deployment of an application component specifically for one tenant can achieve a high degree of insulation. This ensures that when workload changes, there is little or no performance impact between the components.
\nNevertheless, since components are not shared (e.g. in a situation where some strict laws and regulations prohibit them from being shared), this means duplicating the components for each tenant, resulting in high resource consumption and running costs. In general, this would restrict the number of requests to access the components.
\nIt may also be that a component requires a low degree of isolation, for example, to facilitate sharing of the functionality, data, and resources of the component. This would minimise resource consumption and running costs, but other component’s performance might be affected if one of the components experiences a change in workload.
\nThe challenge for a cloud deployment architect would therefore be how to overcome the trade-offs between the required performance, system resources and access privileges at different levels of an application when selecting one (or combinations) of multitenancy patterns to deploy software tools in the cloud. Resolving the trade-off involving access privileges of users at different levels of an application depending on the type of multitenancy deployment pattern that is being used is one of the strategies for providing security for cloud-hosted services deployed based on multitenancy architecture.
\nMultitenancy isolation can be implemented both at the process levels (i.e., based on the processes that interacts with the system) and data levels (i.e., based data that is being generated or manipulated by the system) of a cloud-hosted service. Figure 2 shows an architecture that can be used to implement multitenancy isolation at the data level. This implementation represents an application that logs each operation into a database by relying on an automated build verification and testing in response to a specific event such as detecting changes in a file.
\nMultitenancy isolation architecture for cloud-hosted applications.
A specific example of an implementation shown in Figure 2 is to use Hudson’s Files Found-Trigger plugin to poll one or more directories and start a build if there are certain files in those directories [18]. Hudson is an open source tool and so can be easily modified by adding a Java class that accepts a filename as argument into the plugin. The plugin is loaded into a separate class loader during execution, to avoid interfering with the core functionality of Hudson.
\n\n
There are several solutions to multitenancy implementation which have been widely discussed in the literature. Multitenancy can be introduced at different cloud stack layers: application layer [16], middleware layer [19], and data layer [20, 21].
\nIt has been suggested that customization is the solution to addressing the hidden constraints on multitenancy such as complexities, security, scalability and flexibility [22]. Furthermore, integrating a plugin into a cloud-based service can provide a workaround for true multitenancy. Again, most of the solutions available to incorporate multitenancy require a re-engineering of the cloud service to some degree [17, 23].
\nOther research work on multitenancy isolation include: [24, 25, 26, 27, 28, 29, 30].
\nApart from the general research on best practices in securing the cloud against various forms of attacks, there is little research on approaches to secure cloud services against attacks arising from implementing multitenancy architectures. There is also little research on approaches for securing the deployment of cloud-hosted services in a way that guarantees varying degrees of isolation between tenants.
\nAccording to Bass et al., one of the significant security challenges introduced in the cloud is multitenancy [1]. Implementing multitenancy means that your cloud-hosted services are utilising the virtual machine on a physical machine that host multiple virtual machines. Much of literature on multitenancy and cloud security has established that the obvious approach to addressing the problem is for cloud providers to allow users to reserve entire virtual machines for their use. Although this defeats some of the economic benefits of using the cloud, it is nevertheless a mechanism to prevent multitenancy attacks [1, 2, 3].
\nPrevious research has looked at this problem from the perspective of the cloud providers, for instance, autoscaling algorithms and supporting security-based strategies provided by IaaS providers such as Amazon and optimization frameworks suggested for use by SaaS providers such as Salesforce.com.
\nThis study, however, looks at the issue from the tenant’s viewpoint, who owns software components and is responsible for configuring them to build and deploy their own cloud-hosted application on a shared cloud platform where the cloud provider has no control over the software components. The focus of this chapter is to provide a framework for securing the deployment of cloud-hosted services in a way that guarantees multitenancy isolation.
\nThe work by [31] is one of the most detailed studies on cloud security. The author explores different aspects of security and the possible solutions that have been considered by different authors. The author did not consider approaches for securing the deployment of cloud-hosted services in a way that guarantees varying degrees of isolation between tenants.
\nThe section discusses the framework for securing the deployment of cloud-hosted services for guaranteeing multitenant isolation.
\nThe study presents a robust framework, CLAMP, for securing the deployment of cloud-hosted services for guaranteeing multitenancy isolation. The framework, CLAMP (Cloud-based architectural approach for securing services through Multitenancy deployment Patterns), is basically a framework for guiding software architects in securing the deployment of cloud-hosted services in a way that guarantees the required degree of isolation between other tenants when one of the tenants (or components) experiences a high workload or security breach.
\nThe CLAMP framework is illustrated as a layered architecture in Figure 3. It shows how the components of the framework work together to support the task of securing the deployment of components of a cloud-hosted service for guaranteeing multitenancy isolation. The development of CLAMP was inspired by the well understood architectural structure/pattern called layered pattern [1]. A layer is an abstract “virtual machine” that provides a cohesive set services through a managed interface. In a strictly layered system, a layer can only use the services of the layer immediately below it. This structure is used to imbue a system with portability, the ability to change the underlying computing platform.
\nA layered architecture for securing the deployment of cloud-services for guaranteeing multitenancy isolation.
The different components of the CLAMP framework are described as follows.
\nThis layer addresses the selection of a suitable architectural pattern. In order to secure the deployment of cloud-hosted services for guaranteeing multitenancy isolation, it may be very difficult if not impossible to use one cloud pattern to deploy the service to the cloud due to the different requirements of the service including accessibility of the service to a wider audience and a combined assurance for security and privacy. For instance, the architect would require a combination of several deployment patterns together with supporting technologies for archiving components of the cloud-hosted service (i.e., in a hybrid fashion) to integrate components located in a different cloud environment to form one cloud solution. Again, if communication is required internally to exchange messages between application components, then a message-oriented middleware technology would also be needed. Therefore, the challenge is that of selecting a suitable pattern (together with the supporting technologies) or a combination of patterns in order to secure the deployment of cloud-hosted services for guaranteeing multitenancy isolation. It is assumed that there is a repository of cloud deployment patterns from where a software architect can select a suitable pattern (s) to address the business requirements of the company/user.
\nThe layer addresses the evaluation of the required degree of isolation between tenants. There are varying degrees of isolation between tenants that are accessing a cloud-hosted service. Some of the tenants would require a higher or different degree of isolation than others. Tenants would be able to share application components as much as possible at the very basic degree of multitenancy, which translates into increases use of underlying resources.
\nAt the very basic degree of multitenancy, tenants would be able to share application components as much as possible which translates to increased utilisation of underlying resources. While some components of the application may benefit from a low degree of isolation between tenants, other components may require a higher degree of isolation because the component may be either too sensitive or cannot be shared as a result of certain corporate legislation and regulation.
\nThere is increasing evidence, for example, that many cloud providers are reluctant to set up data centres in mainland Europe due to stricter legal requirements that prohibit data processing outside Europe [32, 33]. This requirement will traverse down to the IaaS level, and customers must take this into consideration if intending to host applications outsourced to such cloud providers [11] that host customers data outside Europe. Therefore, evaluating the required degree of isolation between the tenants will allow for the appropriate mapping of security requirements during the deployment of cloud-hosted services onto cloud provider’s infrastructure.
\nLayer three addresses the analysis of the deployment requirements of the cloud-hosted service. This involves two main activities: (i) mapping tenant isolation to key process of the cloud-hosted services, cloud resources required to support the service and layers of the cloud stack on the which the service will be executed; (ii) analysing the trade-offs that should be considered when implementing the required degree of tenant isolation.
\nThe mapping is rooted in the framework of a typical architectural deployment system that has two main components: the cloud application (that is, the component or service to be deployed) and the cloud environment (that is, the environment in which the process/service is performed) [1]. This mapping also captures the link between a process associated with a cloud-hosted service (e.g., continuous integration process), being used in a hybrid deployment scenario by utilising a cloud-hosted environment (e.g., SaaS and PaaS deployment environment).
\nIn our previous research, we provided an explanatory framework for (i) mapping tenant isolation to different software processes, cloud resources and application stack layers (ii) illustrating the different trade-offs for consideration in order to achieve optimal deployment of components in a way that guarantees the required degree of tenant isolation [34] (see Figure 4).
\nMapping of degrees of tenant isolation to cloud-hosted services and resources.
Issues relating to security, privacy, trust and regulatory compliance can mostly be tackled in a hybrid fashion. For example, data / bugs created from a bug tracking system could be stored at some location to comply with privacy and legal regulations, while the architecture of the bug tracking system could be changed to limit the access of certain data to users residing in regions not deemed to be of interest to those who own the hosted data. Securing cloud-hosted services deployed with the goal of guaranteeing varying degrees of multitenancy isolation can best be tackled using a hybrid approach.
\nThe second aspect of the analysis involves analysing the key trade-offs for consideration when implementing the required degree of tenant isolation for cloud-hosted software processes. There are six key aspects of the trade-offs that have to be considered when implementing security for multi-tenant cloud-hosted software services. These trade-off include tenant isolation versus (resource sharing, the number of users/requests, customizability, the size of generated data, the scope of control of the cloud application stack and business constraints). Table 1 shows the trade-offs and the key decision that have to be main when considering the trade-offs.
\nCategory | \nChecklist | \n
---|---|
Selection of a suitable architectural pattern | \nWhat are classes of cloud patterns available, what are the tools and processes to support the selection of suitable cloud patterns. | \n
Evaluation of the required degree of isolation between tenants | \nWhat are the data and processes of the cloud-hosted service that require security? What is the required degree of isolation between tenants accessing the components of the cloud-hosted services? | \n
Analysis of the deployment requirements of the cloud-hosted | \nHow can you map the key resources of the cloud-service (e.g., store for the archive data) to the cloud provider’s platform? What are the trade-offs to consider when securing the deployment of cloud-hosted services? (e.g., customizability, scope of control, business requirements) | \n
Optimisation of the deployment of the cloud-hosted services | \nWhat are the components (or tenants) that are required to design (or integrate) with the cloud-hosted services? How feasible is it to tag components or whole system? | \n
Security checklist for evaluating the framework.
This layer deals with the optimization of the components of a cloud-hosted service. In a cloud environment, varying degrees of tenant isolation are possible, depending on the type of component being shared, the process supported by the component and the location of the component on the cloud application stack (i.e., application level, platform level, or infrastructure level).
\nIn a cloud environment, depending on the type of component being shared, the processes enabled by the component, and the location of the component on the cloud application stack (i.e. application level, platform level, or network level), varying degrees of tenant isolation are possible. Therefore, it is important for software architects to be able to able to control the required degree of isolation between tenants sharing components of a cloud-hosted application.
\nFor instance, the deployment of an application component specifically for one tenant will achieve a high degree of isolation. This would make sure that when workload changes, there is little or no performance impact between the components.
\nHowever, because components are not shared it implies duplicating the components for each tenant, which leads to high resource consumption and running cost. Overall, this will limit the number of requests allowed to access the components. A low degree of isolation would allow sharing of the component’s functionality, data and resources. This would reduce resource consumption and running cost, but the performance of other components may be affected when one of experiences a change in workload.
\nThis is a decision-making challenge that requires an appropriate decision to be made to address the trade-off between a lower degree of isolation versus the possible influence that can occur between components or a high degree of isolation versus the difficulty of high resource usage and component running costs.
\nIn a nutshell, the procedure for implementing the framework can be summaries with following four steps: (i) Select suitable deployment patterns (one or combination of several patterns), (ii) Evaluate the effect of varying degrees of isolation on the cloud-hosted service, (iii) Analyse the deployment requirements of cloud-hosted services and (iv) optimise the deployment of the cloud-hosted service to guarantee multitenancy isolation.
\nIn addition to the framework, CLAMP, we develop a security checklist to guide software architects in securing the deployment of cloud hosted services. The layers of the frameworks are used to develop the categories of the checklist. Many of the items in the checklist may seem obvious but the purpose of a checklist is help ensure the completeness of the security design while implementing the CLAMP framework.
\nIn using the security checklist, the software architect should think about how to review the security of the cloud-hosted services and figure out how well it satisfies security in each of the categories of the framework. In other words, what questions would you ask a software architect to evaluate how the framework satisfies the requirements for securing the deployment of cloud-hosted services for guaranteeing multitenancy isolation. This is the basis for the security checklist.
\nThis section presents a simple case study of a cloud deployment problem to illustrate how to use the proposed framework to secure the deployment of a cloud-hosted services in a way that guarantees multitenancy isolation. The following scenario explains our motivation.
\nLet us assume that there are multiple components of a cloud service (e.g., data-handling component) hosted on the same or different cloud infrastructure. These components which are of various types and sizes are required to design (or integrate with) a cloud-hosted service (e.g., continuous integration system such as Hudson or Jenkins) and their supporting processes for deployment to multiple tenants. Tenants, in this case, may be multiple users, departments of a company or different companies. The laws and regulations of the company make it liable to share and archive data generated from the component (e.g., builds of source code) and keep it accessible for auditing purposes. However, access to some components or some aspects of the archived data will be provided solely to particular groups of tenants for security reasons. The question is: in a resource-constrained environment, how can we secure the deployment of components of this cloud-hosted service in a way that guarantees the required degree of isolation between other tenants when one of the tenants (or components) experiences a high workload or security breach (Table 2).
\nSelection of a suitable architectural pattern | \nThe problem requires a hybrid-related deployment pattern, namely, integrating data stored in multiple clouds | \n
Evaluation of the required degree of Isolation between tenants | \nThe requirement to allow a particular group of users to access some components for security reasons means that the company requires the highest degree of isolation between tenants | \n
Analysis of the deployment requirements of the cloud-hosted | \nMap the tenant isolation to key processes associated with the cloud-hosted service, cloud resources and layers of the cloud stack. Analyse the trade-offs required for optimal deployment | \n
Optimisation of the deployment of the cloud-hosted services | \nTag each component. Analyse the trade-off involved, namely, achieving a high degree of isolation versus resource sharing. To address this trade-off, an optimization model is recommended to be used to select optimal components for deployment to the cloud | \n
Summary of how problem was analysed per layer of the framework.
This section explains how to apply the proposed framework, CLAMP, to secure the deployment of this cloud-hosted service in a way that guarantees the required degree of isolation between other tenants. Each component of the framework has a part to play in securing the deployment of components of a cloud-hosted service. The structure of evaluating the framework, CLAMP, in its textual form, is specified as a string consisting of three sections-(i) Context; (ii) Problem; and (iii) Solution. In a more general sense, the string can be represented as: [CONTEXT; PROBLEM; SOLUTION]. Each layer of the framework maps to the step required to provide a solution to the cloud deployment problem. Table 2 summaries how the problem was evaluated based each layer of the framework.
\nIn order to address this challenge, this framework would recommend that the architect should reference some sort of a classification or taxonomy to guide in the selection of a suitable pattern together with the supporting technologies. In our previous work, we have developed a taxonomy and a process for guiding architect in selecting a suitable framework for cloud deployment [35]. In addition, a general process, CLIP (CLoud-based Identification process for deployment Patterns) has been developed for guiding architects in selecting applicable cloud deployment patterns (together with the supporting technologies) using the taxonomy for deploying services/application to the cloud we also discussed.
\nIt is important to note that the company does not have direct access to the cloud IaaS. Therefore, the architect must select a deployment pattern that can be implemented at the application level to secure the deployment of the cloud-hosted services for guaranteeing multitenancy isolation. By making reference to the taxonomy of cloud-deployment patterns and the general process for selecting applicable deployment patterns based on the taxonomy, we would recommend that the architect should select a hybrid-related deployment pattern for addressing the requirements of the customer. It is assumed that the data archived by Hudson contains the source code and (possibly configuration files) that drives a critical function of an application used by the company.
\nThe data stored by Hudson is presumed to contain the source code and (possibly configuration files) which drives a critical function of an application used by the company. Any unauthorised access to it may be devastating for the company. In this circumstance, the most appropriate multitenancy pattern to use is the hybrid backup deployment pattern. This pattern can be used to extract data to the cloud environment and archive it different cloud environments [11].
\nThis step involves evaluating the required degree of isolation between tenants and then select an appropriate multitenancy pattern or combination of patterns to support such a required degree of isolation. There are varying degrees of isolation between tenants that are accessing the cloud-hosted service and so some of the tenants would require a higher or different degree of isolation than others.
\nOne of the key requirements of the company to provide access to some components or some aspects of the archived data solely to particular groups of tenants for security reasons. Based on this key requirement, we conclude that the company requires the highest degree of isolation between tenants.
\nThe varying degrees of multitenancy isolation can be captured in three main cloud deployment patterns: shared component, tenant-isolated component and dedicated component. The shared component represents the lowest degree of isolation between tenants while the dedicated component represents the highest. In a dedicated component pattern, tenants do not share resources, though each tenant is associated with one instance or a certain number of instances of the resource.
\nThe step involves analysing the deploying requirements of the cloud-hosted services. This analysis entails mapping tenant isolation to key processes associated with the cloud-hosted service, cloud resources required to support the service and layers of the cloud stack on the which the service will be executed. This analysis translates to using a hybrid approach to map the SaaS and PaaS level of the cloud provider to the cloud-hosted service which has a backup cloud storage. This type of cloud pattern is referred to as a hybrid backup pattern [3]. The archive data in a problem scenario can be stored in any location to comply with privacy and legal regulations of the company while the architecture of the cloud-hosted service could be modified to restrict exposure of certain data to users located in regions not considered to be of interest to the owners of the hosted data.
\nThe second aspect of the analysis involves analysing the different trade-offs to be considered for optimal deployment of components with a guarantee of the required degree of tenant isolation. There are three main trade-offs that the company has to consider. The first trade-off relates to tenant isolation versus customizability. The higher the degree of isolation that is required, the easier it is to customise a cloud-hosted service to implement tenant isolation. However, because we assumed that the user has access to the application layer of the cloud stack, it would be more difficult to implement a higher degree of isolation at the application level in terms effort, time and skills set required to modify the source code. This raises issues of compatibility and interdependencies between the cloud-hosted services and required plugins and libraries. Each time a multitenant application or its deployment environment changes, then a tedious, complex and security maintenance process is also required.
\nThe second trade-off relates to the “scope of control” of the cloud application stack. The architect has more flexibility to implement or support the implementation of the required degree of tenant isolation when there is greater “scope of control” of the cloud stack application. As the company requires a higher degree of isolation (e.g., based on the dedicated component), then the scope of control should extend beyond the higher level to the lower levels of the cloud stack (i.e., PaaS and IaaS) even as the cost of implementation of such a cloud security architecture will certainly increase.
\nThe third trade-off relates to the trade-off between tenant isolation and business (or legal) requirements of the company. A key legal requirement of the company is that access to some components or some aspects of the archived data will be provided solely to particular groups of tenants for security reasons. The dedicated component which offers a high degree of isolation can be used to handle the legal requirements Such legal restriction, for example, legal restrictions and the location and configuration of the cloud infrastructure are usually difficult to compensate for at the application level. For example, a legal requirement can state that data that a specific cloud provider has hosted in Europe cannot be stored elsewhere (e.g., in the USA). Therefore an architect would have to map this form of requirement to a cloud infrastructure that specifically meets this requirement.
\nThe key task in step four is to optimise the deployment of components of the cloud-hosted service. Some requirements cannot be fully satisfied and so there has to be some optimisation to ensure that the cloud deployment is carried out in way that does not compromise the security of the components of the cloud-hosted service. This entails tagging the components (or tenants) associated with the cloud-hosted service so that the software architects can be have more leverage to implement the required degree of isolation between tenants. In [36] an implementation of the model-based algorithm was presented for providing optimal solutions for deploying components designed to use (or be integrated with) a cloud-hosted application in a way that guarantees multitenancy isolation (Figure 5).
\nMapping a continuous integration system to cloud stack based on hybrid backup pattern.
In addition to applying the framework on the motivating problem, we also apply the security checklist to support design and analysis of process for securing the deployment of cloud-hosted services for guaranteeing multitenancy isolation. Table 3 shows the result of the security checklist.
\nCategory | \nChecklist | \n
---|---|
Selection of a suitable architectural pattern | \nThe hybrid patterns are a class of cloud pattern that can be explored. The hybrid backup pattern is suitable for the problem. Tools and technologies such as cloud storage, and REST, and message exchange technologies can be implemented | \n
Evaluation of the required degree of isolation between tenants | \nThe highest degree of isolation would be required for isolate tenants. The data to secure include archive data- source code, configuration files. The key software process in this problem is the continuous integration process | \n
Analysis of the Deployment requirements of the Cloud-hosted | \nThe process supporting the cloud-hosted service (i.e., continuous integration) should be mapped to a cloud platform that allows data to be stored in multiple location without much restrictions. The key trade-offs in this problem are tenant isolation versus (customizability, scope of control, business requirements) | \n
Optimisation of the deployment of the cloud-hosted services | \nThe main components to optimise are—authorization/authentication data or database components, queue messages. The approach of tagging components can be done either manually or dynamically using a model/algorithm depending on the number of components and complexity of the processes involved | \n
Applying the security checklist.
This section presents a general discussion of the key security issues that should be considered together with some recommendations that can be followed in order to secure the deployment of cloud-hosted services in a way that guarantees multitenancy isolation.
\nOne of the challenges of implementing cloud security is to provide assurance to cloud users who need to demonstrate compliance with various legislation and regulatory requirements. Our proposed framework addresses this challenge by providing guidance to the software architecture based on the a taxonomy of cloud deployment patterns to not only to select a suitable cloud deployment pattern but to also evaluate the requirements of the customer to select a cloud multitenancy pattern that guarantees the required degree of isolation between tenants.
\nFor example, there is growing evidence that many cloud providers are unwilling to set data centres in mainland Europe because of tighter legal requirements that disallow the processing of data outside Europe (Hon & Millard 2017, Google 2017). This requirement will traverse down to the IaaS level, and customers must take this into consideration if intending to host applications outsourced to such cloud providers [11]. The challenge, therefore, for a cloud deployment architect is that there are no case studies to understand and evaluate the effect of the required degree of isolation on the performance, systems resources and access privileges at different levels of a cloud-hosted service when opting for one (or combinations) of a particular degree of isolation between tenants.
\nCustomising a cloud-hosted GSD tool (or any cloud-hosted service) can be very challenging if the service has several components that are being shared. A service deployed on the cloud can have many inter-dependencies on different levels of the application itself and with other applications, plugins, libraries, etc., deployed with other cloud providers. This could impact the security of the cloud-hosted system in a way that we did not anticipate and thus the degree of tenant isolation that was needed. There is also a serious risk that incompatible plugins and libraries will be used to alter, configure and run these GSD tools. This could corrupt the GSD tool and stop other supporting programs/processes from running. A simple way to tackle this infrastructure problem is to move tenant isolation deployment down the lower levels of the cloud stack, where the architect can deploy the GSD framework on a PaaS platform, for example. Middleware issues and methods for SaaS device customizability were discussed in [37, 38].
\nMultitenancy may pose significant error and security challenges in the cloud, particularly when different degrees of isolation are introduced between multiple tenants who share resources. When resources are shared between multiple tenants in a multitenant cloud-service, it is very possible to affect the performance and resource usage of other tenants due to errors associated with one tenant (e.g. due to overload of the tenant or inadequate resource allocated to the tenant).
\nThe type of error associated with a cloud-hosted service is a pointer to the key resources to consider in achieving the required degree of tenant isolation. For example, moving the VM image instance associated with a cloud hosted service whose file permission had been set on a local machine to the cloud infrastructure could cause affect the requires degree of tenant isolation and hence the security of other tenants during cloud deployment. Therefore, it is necessary to get repository ownership and permission right before deploying such a cloud-hosted service.
\nOne of the challenges of securing the deployment of a cloud-hosted service is how to handle such cloud-hosted services that several interdependencies with other services elements to which it interacts. Therefore, it is important that components designed to be used or incorporated with a cloud-hosted service should be tagged as much as possible when the necessary degree of tenant isolation is needed.
\nTagging can be a complex and complicated process and may not even be feasible under certain circumstances (e.g. where the component is incorporated into other systems and is not under customer control). Therefore, this can also be predicted in a dynamic way instead of labelling each part with an insulation value as necessary.
\nIn our previous work [39], we built an algorithm that dynamically learns the features of existing components in a repository and then uses this knowledge to associate each component with the appropriate degree of isolation. This information is critical to making key security decisions and optimising the resources consumed by the components, particularly in a dynamic or real-time environment.
\nThe chapter presented CLAMP, a framework for securing the deployment of cloud-hosted services in a way that guarantees the isolation between tenants to contribute to the literature on multitenancy and cloud security. The framework is based on a layered architectural structure where the layers are allowed to use other layers in a strictly managed fashion; a layer is only allowed to use the layer immediately below.
\nThe framework was evaluated by applying it to a motivating cloud deployment problem that requires securing several components of a cloud-hosted service while guaranteeing the required degree of isolation between tenants. The findings show among other things that the framework can be used to select suitable deployment patterns, evaluate the effect of varying degrees of isolation on the cloud-hosted service based on the requirements of the business, analyse the deployment requirements of cloud-hosted services and optimise the deployment of the cloud-hosted service to guarantee multitenancy isolation.
\nFuture work would entail design an experimental procedure for automatically evaluating the framework (i.e., the layered-architectural structure) for securing the deployment of a real-life cloud-hosted service for guaranteeing isolation between tenants. Thereafter, this experimental design will incorporate into a simulator and testing tool for evaluating the layered-architecture for securing the cloud-hosted service for guaranteeing isolation between tenants. This approach has been discussed in [1] as a way to turn architectural parameters into constants, ranges and other that can be easily measured. This will allow software architects to determine the effect of each form of improvement or business requirements of the component or cloud-hosted service before deciding whether the service is secured enough to be deployed without compromising the required degree of isolation between tenants.
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. 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Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. 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A general introduction on the GSHPs and its development, and a description of the surface water (SWHP), ground-water (GWHP), and ground-coupled heat pumps are briefly performed. The most typical simulation and ground thermal response test models for the vertical ground heat exchangers (GHEs) currently available are summarized. Also, a new GWHP using a heat exchanger with special construction, tested in laboratory, is well presented. The second objective of the chapter is to compare the main performance parameters (energy efficiency and CO2 emissions) of radiator and radiant floor heating systems connected to a GCHP. These performances were obtained with site measurements in an office room. Furthermore, the thermal comfort for these systems is compared using the ASHRAE Thermal Comfort program. Additionally, two numerical simulation models of useful thermal energy and the system coefficient of performance (COPsys) in heating mode are developed using the TRNSYS (Transient Systems Simulation) software. Finally, the simulations obtained in TRNSYS program are analysed and compared to experimental measurements.",book:{id:"5084",slug:"advances-in-geothermal-energy",title:"Advances in Geothermal Energy",fullTitle:"Advances in Geothermal Energy"},signatures:"Ioan Sarbu and Calin Sebarchievici",authors:[{id:"173440",title:"Prof.",name:"Ioan",middleName:null,surname:"Sarbu",slug:"ioan-sarbu",fullName:"Ioan Sarbu"},{id:"176508",title:"Dr.",name:"Calin",middleName:null,surname:"Sebarchievici",slug:"calin-sebarchievici",fullName:"Calin Sebarchievici"}]},{id:"49547",doi:"10.5772/61651",title:"Airborne Magnetic Surveys to Investigate High Temperature Geothermal Reservoirs",slug:"airborne-magnetic-surveys-to-investigate-high-temperature-geothermal-reservoirs",totalDownloads:2642,totalCrossrefCites:4,totalDimensionsCites:6,abstract:"Airborne magnetic survey is an effective geophysical exploration method in terms of coverage, resolution and cost, particularly for area with restricted or difficult ground access. Research studies in New Zealand have shown airborne magnetic surveys can indicate the regions of high reservoir permeability and thermal up-flow of active geothermal systems. However, the method has not been extensively used in the geothermal investigations, probably because the interpretation of airborne magnetic data has so far been seen as difficult and requires a complex quantitative 3D modelling of subsurface magnetisation.",book:{id:"5084",slug:"advances-in-geothermal-energy",title:"Advances in Geothermal Energy",fullTitle:"Advances in Geothermal Energy"},signatures:"Supri Soengkono",authors:[{id:"176580",title:"Dr.",name:"Supri",middleName:null,surname:"Soengkono",slug:"supri-soengkono",fullName:"Supri Soengkono"}]},{id:"64812",doi:"10.5772/intechopen.81157",title:"Geothermal Explorations on the Slate Formation of Taiwan",slug:"geothermal-explorations-on-the-slate-formation-of-taiwan",totalDownloads:1306,totalCrossrefCites:3,totalDimensionsCites:4,abstract:"Currently, over 90% operated geothermal power plants are distributed in the volcanic- or magmatic intrusion-related geological systems. Only a few cases are done in metamorphic terranes, especially on the slate formation. Taiwan is located at the ring of fire and is famous for the young orogenic belt, which has wide distributions of rapid uplifting terranes with few active volcanoes. The metamorphic rocks, for example, schist and slate formations with high geothermal gradients, are occurring in the major mountain range. This chapter introduces the techniques or methods we used for geothermal exploration in the slate formation of the Chingshui geothermal field of Taiwan, where a 3-MW pilot geothermal power plant had been installed in 1983 and operated for 12 years.",book:{id:"7504",slug:"renewable-geothermal-energy-explorations",title:"Renewable Geothermal Energy Explorations",fullTitle:"Renewable Geothermal Energy Explorations"},signatures:"Sheng-Rong Song and Yi-Chia Lu",authors:[{id:"253615",title:"Prof.",name:"Sheng-Rong",middleName:null,surname:"Song",slug:"sheng-rong-song",fullName:"Sheng-Rong Song"},{id:"253623",title:"Dr.",name:"Yi-Chia",middleName:null,surname:"Lu",slug:"yi-chia-lu",fullName:"Yi-Chia Lu"}]},{id:"63548",doi:"10.5772/intechopen.81062",title:"Geothermal Potential of the Global Oil Industry",slug:"geothermal-potential-of-the-global-oil-industry",totalDownloads:1202,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"There are around 40 new geothermal power projects commissioned in each of the last few years. Growth of the market is around 5% annually and current installed capacity is about 13,300 MW with about the same in development in 24 countries. These figures are impressive, but they do not bear comparison with any of the fossil fuels. However, few will realise that the global oil industry has a cryptic geothermal power potential that is equal to the entire current output of the geothermal industry. The oil industry is ageing. Many areas still produce copious quantities of oil, but the oil comes with an unwanted by-product, water. The volume of water produced is typically is 10–20 times that of the oil; and the water is hot—in some places very hot (>100°C). In a recent study we showed that the power depleted oil production platforms of the North Sea’s North Viking Graben produce sufficient hot water to deliver around 60% of the power requirement for each field. A review of global oil and hence water production has enabled us to calculate that power production alone from waste water from producing oilfields could be at least 15,000 MW.",book:{id:"7504",slug:"renewable-geothermal-energy-explorations",title:"Renewable Geothermal Energy Explorations",fullTitle:"Renewable Geothermal Energy Explorations"},signatures:"Jon Gluyas, Alison Auld, Charlotte Adams, Catherine Hirst, Simon Hogg\nand Jonathan Craig",authors:[{id:"258666",title:"Dr.",name:"Jon",middleName:null,surname:"Gluyas",slug:"jon-gluyas",fullName:"Jon Gluyas"},{id:"262369",title:"Dr.",name:"Alison",middleName:null,surname:"Auld",slug:"alison-auld",fullName:"Alison Auld"},{id:"262370",title:"Dr.",name:"Charlotte",middleName:null,surname:"Adams",slug:"charlotte-adams",fullName:"Charlotte Adams"},{id:"262371",title:"Dr.",name:"Catherine",middleName:null,surname:"Hirst",slug:"catherine-hirst",fullName:"Catherine Hirst"},{id:"262372",title:"Prof.",name:"Simon",middleName:null,surname:"Hogg",slug:"simon-hogg",fullName:"Simon Hogg"},{id:"262373",title:"Prof.",name:"Jonthan",middleName:null,surname:"Craig",slug:"jonthan-craig",fullName:"Jonthan Craig"}]},{id:"64027",doi:"10.5772/intechopen.81017",title:"Stages of a Integrated Geothermal Project",slug:"stages-of-a-integrated-geothermal-project",totalDownloads:4195,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"A geothermal project constitutes two big stages: the exploration and the exploitation. Each one has a single task whose results allow defining the feasibility of a geothermal project, until achieving the construction and operation stage of the power generation plant. The first stage contains the area recognition, its limitation to the target, and elimination of external factors until defining a geothermal zone with characteristics to be commercially exploited. The main studies and analysis that can be applied during the exploration stage are listed, and the major indicator to continue with the project or suspend is the prefeasibility report. The major risks in the exploration stage are due to studies that are carried out on the surface; at this stage, the costs can be considered low. The main results of the exploration are the selection of sites to drill three or four initial wells. Each well provides a direct overview of the reservoir: depth, production thicknesses, thermodynamic parameters, and production characteristics. The drilling of three to four exploratory wells is recommended, as far as there is certainty of the feasibility of the project, and the development of the field begins with drilling of sufficient wells to feed the plant. In this stage, the cost increases, but the risks decrease.",book:{id:"7504",slug:"renewable-geothermal-energy-explorations",title:"Renewable Geothermal Energy Explorations",fullTitle:"Renewable Geothermal Energy Explorations"},signatures:"Alfonso Aragón-Aguilar, Georgina Izquierdo-Montalvo,\nDaniel Octavio Aragón-Gaspar and Denise N. Barreto-Rivera",authors:[{id:"258358",title:"Dr.",name:"Alfonso",middleName:null,surname:"Aragón-Aguilar",slug:"alfonso-aragon-aguilar",fullName:"Alfonso Aragón-Aguilar"}]}],mostDownloadedChaptersLast30Days:[{id:"64027",title:"Stages of a Integrated Geothermal Project",slug:"stages-of-a-integrated-geothermal-project",totalDownloads:4216,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"A geothermal project constitutes two big stages: the exploration and the exploitation. Each one has a single task whose results allow defining the feasibility of a geothermal project, until achieving the construction and operation stage of the power generation plant. The first stage contains the area recognition, its limitation to the target, and elimination of external factors until defining a geothermal zone with characteristics to be commercially exploited. The main studies and analysis that can be applied during the exploration stage are listed, and the major indicator to continue with the project or suspend is the prefeasibility report. The major risks in the exploration stage are due to studies that are carried out on the surface; at this stage, the costs can be considered low. The main results of the exploration are the selection of sites to drill three or four initial wells. Each well provides a direct overview of the reservoir: depth, production thicknesses, thermodynamic parameters, and production characteristics. The drilling of three to four exploratory wells is recommended, as far as there is certainty of the feasibility of the project, and the development of the field begins with drilling of sufficient wells to feed the plant. In this stage, the cost increases, but the risks decrease.",book:{id:"7504",slug:"renewable-geothermal-energy-explorations",title:"Renewable Geothermal Energy Explorations",fullTitle:"Renewable Geothermal Energy Explorations"},signatures:"Alfonso Aragón-Aguilar, Georgina Izquierdo-Montalvo,\nDaniel Octavio Aragón-Gaspar and Denise N. Barreto-Rivera",authors:[{id:"258358",title:"Dr.",name:"Alfonso",middleName:null,surname:"Aragón-Aguilar",slug:"alfonso-aragon-aguilar",fullName:"Alfonso Aragón-Aguilar"}]},{id:"64812",title:"Geothermal Explorations on the Slate Formation of Taiwan",slug:"geothermal-explorations-on-the-slate-formation-of-taiwan",totalDownloads:1307,totalCrossrefCites:3,totalDimensionsCites:4,abstract:"Currently, over 90% operated geothermal power plants are distributed in the volcanic- or magmatic intrusion-related geological systems. Only a few cases are done in metamorphic terranes, especially on the slate formation. Taiwan is located at the ring of fire and is famous for the young orogenic belt, which has wide distributions of rapid uplifting terranes with few active volcanoes. The metamorphic rocks, for example, schist and slate formations with high geothermal gradients, are occurring in the major mountain range. This chapter introduces the techniques or methods we used for geothermal exploration in the slate formation of the Chingshui geothermal field of Taiwan, where a 3-MW pilot geothermal power plant had been installed in 1983 and operated for 12 years.",book:{id:"7504",slug:"renewable-geothermal-energy-explorations",title:"Renewable Geothermal Energy Explorations",fullTitle:"Renewable Geothermal Energy Explorations"},signatures:"Sheng-Rong Song and Yi-Chia Lu",authors:[{id:"253615",title:"Prof.",name:"Sheng-Rong",middleName:null,surname:"Song",slug:"sheng-rong-song",fullName:"Sheng-Rong Song"},{id:"253623",title:"Dr.",name:"Yi-Chia",middleName:null,surname:"Lu",slug:"yi-chia-lu",fullName:"Yi-Chia Lu"}]},{id:"49252",title:"Using Ground-Source Heat Pump Systems for Heating/Cooling of Buildings",slug:"using-ground-source-heat-pump-systems-for-heating-cooling-of-buildings",totalDownloads:3851,totalCrossrefCites:4,totalDimensionsCites:15,abstract:"This chapter mainly presents a detailed theoretical study and experimental investigations of ground-source heat pump (GSHP) technology, concentrating on the ground-coupled heat pump (GCHP) systems. A general introduction on the GSHPs and its development, and a description of the surface water (SWHP), ground-water (GWHP), and ground-coupled heat pumps are briefly performed. The most typical simulation and ground thermal response test models for the vertical ground heat exchangers (GHEs) currently available are summarized. Also, a new GWHP using a heat exchanger with special construction, tested in laboratory, is well presented. The second objective of the chapter is to compare the main performance parameters (energy efficiency and CO2 emissions) of radiator and radiant floor heating systems connected to a GCHP. These performances were obtained with site measurements in an office room. Furthermore, the thermal comfort for these systems is compared using the ASHRAE Thermal Comfort program. Additionally, two numerical simulation models of useful thermal energy and the system coefficient of performance (COPsys) in heating mode are developed using the TRNSYS (Transient Systems Simulation) software. Finally, the simulations obtained in TRNSYS program are analysed and compared to experimental measurements.",book:{id:"5084",slug:"advances-in-geothermal-energy",title:"Advances in Geothermal Energy",fullTitle:"Advances in Geothermal Energy"},signatures:"Ioan Sarbu and Calin Sebarchievici",authors:[{id:"173440",title:"Prof.",name:"Ioan",middleName:null,surname:"Sarbu",slug:"ioan-sarbu",fullName:"Ioan Sarbu"},{id:"176508",title:"Dr.",name:"Calin",middleName:null,surname:"Sebarchievici",slug:"calin-sebarchievici",fullName:"Calin Sebarchievici"}]},{id:"49620",title:"Radiogenic Heat Generation in Western Australia — Implications for Geothermal Energy",slug:"radiogenic-heat-generation-in-western-australia-implications-for-geothermal-energy",totalDownloads:2040,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"The chapter reviews heat generation in crystalline rocks and influences on overlying sedimentary basins in Western Australia (WA). Regions of elevated thorium and uranium will cause elevated heat generation, which in turn can cause elevated heat flow. Western Australia hosts several large sedimentary basins with the potential for hot sedimentary aquifers (HSAs). These include the Perth, Carnarvon, and Canning basins. Parts of these basins are underlain by crystalline rocks that contain high levels of heat-generating elements, such as uranium, thorium, and potassium. Also, the Pilbara Craton, which contains both sedimentary and crystalline rocks, that entertains a number of active mines, which may benefit from geothermal energy, is investigated. Further, the southern part of the Perth Basin (Vasse Shelf), which is underlain by crystalline rocks with elevated concentrations of thorium and uranium, is shown to possess higher than usual temperatures. From observations, and geothermal modeling, it is concluded that the Perth Basin has a high potential for medium- to low-temperature geothermal energy developments. 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He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). 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Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. 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Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University, Kuwait. His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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