Partial codes used for building the LSTM network.
\r\n\tThis book intends to provide the reader with a comprehensive overview of the current state-of-the-art novel imaging techniques by focusing on the most important evidence-based developments in this area.
",isbn:null,printIsbn:null,pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"d9159ce31733bf78cc2a79b18c225994",bookSignature:"Dr. Gabriel Cismaru",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11867.jpg",keywords:"Hypertrophic Cardiomyopathy, Dilated Cardiomyopathy, Restrictive Cardiomyopathy, Transesophageal Echocardiography, Intracardiac Echocardiography, 3-Dimensional Echocardiography, Adult Congenital Heart Disease, Tetralogy of Fallot, Transposition of the Great Vessels, Coronary Artery Disease, Risk Stratification, Revascularization",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 21st 2022",dateEndSecondStepPublish:"May 19th 2022",dateEndThirdStepPublish:"July 18th 2022",dateEndFourthStepPublish:"October 6th 2022",dateEndFifthStepPublish:"December 5th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"3 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Cismaru Gabriel is an Assistant Professor at the University of Medicine and Pharmacy Cluj-Napoca, certified in Cardiology. 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He has authored or co-authored peer-reviewed articles and book chapters in the field of cardiac pacing, defibrillation, electrophysiological study, and catheter ablation.",coeditorOneBiosketch:"Raluca Tomoaia is an MD, Ph.D. in novel techniques in Echocardiography at the University of Medicine and Pharmacy in Cluj-Napoca, Romania., assistant professor, and a researcher in echocardiography and cardiovascular imaging.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"191888",title:"Dr.",name:"Gabriel",middleName:null,surname:"Cismaru",slug:"gabriel-cismaru",fullName:"Gabriel Cismaru",profilePictureURL:"https://mts.intechopen.com/storage/users/191888/images/system/191888.png",biography:"Dr. Cismaru Gabriel is an assistant professor at the Cluj-Napoca University of Medicine and Pharmacy, Romania, where he has been qualified in cardiology since 2011. He obtained his Ph.D. in medicine with a research thesis on electrophysiology and pro-arrhythmic drugs in 2016. Dr. Cismaru began his electrophysiology fellowship at the Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu, France, after finishing his cardiology certification with stages in Clermont-Ferrand and Dinan, France. He began working at the Rehabilitation Hospital\\'s Electrophysiology Laboratory in Cluj-Napoca in 2011. He is an experienced operator who can implant pacemakers, CRTs, and ICDs, as well as perform catheter ablation of supraventricular and ventricular arrhythmias such as ventricular tachycardia and ventricular fibrillation. He has been qualified in pediatric cardiology since 2022, and he regularly performs device implantation and catheter ablation in children. 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Solar photovoltaic (PV) systems use PV cells that convert solar irradiation into electric power. Renewable energy sources, in particular photovoltaic (PV) energy, has been progressively increased in recent years because of its advantages of being plentiful, inexhaustible, clean energy and environmentally friendly [3, 4, 5]. As one of the most popular renewable energy sources, solar energy has the advantages of abundant resources, no pollution, free use, and no transportation [6, 7, 8]. This greatly accelerated the installation of solar photovoltaic (PV) systems around the world.
Reliable and precise forecasting plays an important role in enhancing power plant generation based on renewable energy sources such as water, wind, and sun [9]. One of the most sustainable and competitive renewable energy sources is solar photovoltaic (PV) energy which is becoming nowadays more attracting than ever before [3]. The main crucial and challenging issue in solar energy production is the volatility intermittent of PV system power generation due to mainly to weather conditions. In particular, a variation of the temperature and irradiance can have a profound impact on the quality of electric power production. A drop of more than 20% of power PV production can be observed in real PV energy plants. This fact usually limits the integration of PV systems into the power grid. Hence, accurately forecasting the power output of PV modules in a short-term is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market [10].
Precise forecasting of solar energy is important for photovoltaic (PV) based energy plants to facilitate early participation in energy auction markets and efficient resource planning [11]. Numerous methods have been reported in the literature for PV solar power forecasting. These methods can be classified into four classes: (i) statistical approaches based on data-driven formulation to forecast solar time series by using historical measured data, (ii) machine learning techniques, in particular, deep learning approaches based artificial neural network, (iii) physical models based on numerical weather prediction and satellite images, and (iv) hybrid approaches which are the combination of the above methods. In [12], a combined approach merging seasonal autoregressive integrated moving average (SARIMA), random vector functional link neural network hybrid model and discrete wavelet transform has been introduced for forecasting short-term solar PV power production. It has been shown that the combined models provide improved forecasting results compared to individuals ones. In [13], Gradient boosted regression trees approach has been used to predict solar power generation for 1–6 h ahead. It has been that this approach outperforms the simpler autoregressive models. In [14], a model combining seasonal decomposition and least-square support vector regression has been designed to forecast power output. This approach demonstrated good forecasting capacity compared to the autoregressive integrated moving average (ARIMA), SARIMA, and generalized regression neural network. In [15], a multivariate ensemble forecast framework integrating ensemble framework with neural predictors and Bayesian adaptive combination is proposed for forecasting PV output power.
Most conventional solar power forecasting approaches are limited in uncovering the correlation of the limited data but are not able to deep correlation and uncover implicit and relevant information. With the huge data from the modern power system, the use of conventional approaches is not suited for guaranteeing precise forecasting. Recently, deep learning (DL) approaches have emerged as powerful machine learning tools that enable complicated pattern recognition and regression analysis and prediction applications [16, 17, 18]. DL approaches are becoming increasingly popular due to their good capacity in describing dependencies in time series data. Deep Learning is the result of the concatenation of more layers into the neural network framework. Over the past few decades, many deep learning models have been proposed including Boltzmann machines, Deep Belief Networks (DBN) and Recurrent Neural Networks (RNNs) [19]. RNN is a type of neural networks that exploits the sequential nature of input data. RNNs are used to model time-dependent data, and they give good results in the time series data, which have proven successful in several applications domains [3, 20, 21]. Long Short-Term Memory Networks (LSTM) is a type of RNNs that is able to deal with remembering information for much longer periods of time [22]. It is also considered as one of the most used RNN models for time series data predictions, which is perfectly suited to PV solar power production forecasting problems. In this chapter, we applied the LSTM model to accurately forecast short-term photovoltaic solar power. The effectiveness of this approach is tested based on power output data collected from a 9 MWp grid-connected plant.
The next section introduces the core idea behind the LSTM model and how it can be designed and implemented. Then, Section 3 presents the results of solar photovoltaic power forecasting using the LSTM model. Lastly, conclusions are offered in Section 4.
Over the last decades, many studies have been dedicated to forecasting problems in several application domains. Recurrent Neural Networks (RNNs) have been successfully used in machine learning problems [23]. These models have been proposed to address time-dependent learning problems [22]. Figure 1 shows the basic concept of RNNs; a chunk of a neural network, A, looks at some input xt and outputs a value ht. It should be noted that RNNs are suited to learn and extract temporal information [24]. A general formula for RNN hidden state h t given an input sequence
Basic illustration of RNN.
where
where g is a hyperbolic tangent function (
Generally, it is not easy to capture long term time dependencies in time series when using recurrent neural networks. To bypass this limitation, Long Short-Term Memory Networks (LSTM) models were designed. LSTM is an extended version of RNN that are effectively capable to handle time dependency in data [22]. These models are flexible and efficient to describe time-dependent data, and they demonstrated success in several applications. LSTM is one of the most used RNN models for time series data predictions, which is perfectly suited to the PV forecasting problems [22]. Next, we present a basic overview of LSTM and how it can be designed and implemented.
The Long Short-Term Memory (LSTM) is a variant of the Recurrent Neural Networks (RNN) that is capable of learning long term dependencies. LSTM models were initially proposed by Hochreiter and Schmidhuber [4] and were improved and popularized by many other researchers [4, 5, 6, 9]. LSTM models have an excellent ability to memorize long-term dependencies, are developed to deal with the exploding and vanishing gradient problems that can be encountered when training traditional RNNs. Relative insensitivity to gap length is an advantage of LSTM models over ANNs models, hidden Markov models and other sequence learning methods in several application domains.
A common LSTM model is composed of cell blocks in place of standard neural network layers. These cells have various components called the input gate, the forget gate and the output gate. The cell remembers values over arbitrary time intervals and the three gates regulate the flow of information into and out of the cell [5]. Figure 1 shows the basic structure of RNN-LSTM.
From Figure 2, the RNN-LSTM has two input features at each time, which include the current time step input
Illustration of LSTM unit.
Let us denote the input time series as
where
The proposed approach in this chapter aims to forecast solar power production. This methodology is based on the LSTM deep-learning model. Figure 3 summarizes the main steps of the proposed methodology. The proposed approach includes four key steps (Figure 3):
Collect the SCADA data from the PV system.
Pre-process and clean data by removing outliers and imputing missing values.
Normalize the original data.
Train, validate and test the LSTM model. Various statistical indicators are used to quantify the accuracy of the developed model. Lastly, the designed LSTM model can be used for power production forecasting.
Schematic block of the proposed forecasting method.
To assess the forecasting performance, numerous statistical indicators have been proposed in the literature including root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and mean absolute percentage error (MAPE). In this study, we used R2 and MAPE, which are frequently to evaluate the forecasting accuracy:
where
Essentially, the LSTM model can be designed and implemented in four main steps. At first, define the LSTM model and train it, then fit the LSTM model, and lastly, the trained LSTM model is used for forecasting. Table 1 summarizes the main steps (partial codes) performed in designing the LSTM model.
Steps | Action |
---|---|
Step 1: Define LSTM network | |
Step 2: Compile the LSTM network | |
Step 3: Fit the LSTM network | |
Step 4: Forecasting |
Partial codes used for building the LSTM network.
The key factors impacting the accuracy of the LSTM model are not only the amount of training data but also the architecture of the network, hyper-parameters and the utilized optimizers. Accordingly, the performance of LSTMs can be enhanced by acting on the following elements.
This study is based on real data collected from January 2018 to December 2018 every 15 min from a 9 MWp grid-connected plant. Figure 4 shows the hourly distribution of PV power production day from January 2018 to December 2018. From Figure 4, the solar PV power production reaches, every day, its maximum at the mid-day and falls to zero over the night.
PV power production per hour for each day from January 2018 to December 2018.
For the data in Figure 4, the box plots showing the distribution of DC power generation in the daytime are displayed in Figure 5. One can see that the maximum power production is achieved around mid-day.
Distribution of DC power output in the daytime.
The monthly cumulative DC power generated by the inspected PV system from January 2018 to December 2018 is displayed in Figure 6. The highest and lowest monthly cumulative power are respectively achieved in March (6450.056 MW) and in October (4655.524 MW).
Monthly total DC power produced from January 2018 to December 2018.
Figure 7 shows the monthly distribution of DC power production during the monitored period. Figure 7 shows that the produced DC power is relatively high in January, February, and March. Also, it can be noticed that the production was relatively low from June to September (Figure 7).
Monthly distribution of DC power output.
To investigate the interactions between the DC power and meteorological factors (i.e., inclined irradiance 27, ambient temperature, and wind velocity) a Pearson correlation heatmap is displayed in Figure 8. From Figure 8, one can see that there is a high correlation between solar irradiance and power production. It should be noted that DC Power has a low correlation with wind velocity.
Heatmap of the correlation matrix of data: inclined irradiance 27, ambient temperature, wind velocity, and power.
Figure 9 shows the autocorrelation function (ACF) plot of the data shown in power generation data. A seasonality of 24 h can be seen from the ACF plot of PV power data, the time difference between two maximum in the ACF (Figure 9). In particular, this seasonality is mainly due to the variation of solar irradiance.
ACF DC power measurements.
The LSTM model has been constructed and then used for forecasting. Data were split into training and testing datasets (90% and 10% respectively). Parameters of the constructed LSTM are presented in Table 2.
Parameters in LSTM model.
The evolution of the loss function and RMSE in the function of the number of iterations is displayed respectively in Figures 10 and 11. Figures 10 and 11 indicate the convergence of the loss function and RMSE when the number of epochs is around 60.
Evolution of LSTM loss function during training stage.
Evolution RMSE of LSTM model during training stage.
Once the LSTM model has been constructed based on training data, it will be employed to forecast future values of power production. We attempt now to test the capability of the above LSTM model to forecast future values of the PV power generation. Figure 12 shows the forecasting results of the PV power generation compared with the real data over a time horizon. Figure 13 shows the scatter plot of the measured and forecasted power production via the LSTM model. It can be seen from Figures 12 and 13 that the computed LSTM model has the ability of short-term forecasting of PV power generation. In addition, the forecasting result in Figure 12 illustrates the efficiency of the LSTM model to forecast PV power production even under a cloudy day (i.e., the second day in Figure 12) where the power data is very dynamic.
Plot of collected solar power and forecasted one using LSTM model.
Scatter graph of measured and LSTM forecast solar power output.
In summary, the LSTM model showed good forecasting capacity with the coefficient of determination R2 = 0.98 close to 1 and relatively small mean absolute percentage error (MAPE), MAPE = 8.93. It should be pointed out that the forecasting accuracy in cloudy days could be improved by including meteorological variables, such as solar irradiance, ambient temperature, and wind velocity, as input variables.
The major challenge in solar energy generation is the volatility intermittent of photovoltaic system power generation due mainly to weather conditions. Thus, accurate forecasting of photovoltaic power generation is becoming indispensable for reducing the effect of uncertainty and energy costs and enable suitable integration of photovoltaic systems in a smart grid. This chapter employed a Long Short-Term Memory (LSTM) model to accurately forecast short-term photovoltaic solar power. This approach exploits the desirable properties of LSTM, which is a powerful tool for modeling dependency in data. The forecasting quality of this approach has been verified using data from January 2018 to December 2018 collected from a 9 MWp grid-connected plant. Promising results have been achieved by the proposed LSTM-based approach to short-term forecasting of photovoltaic solar power production. As future work, to further enhance the forecasting quality we plan to implement and test the performance of other RNN models like Gated recurrent unit (GRU) model and to incorporate other information such as meteorological data. Also, as most data from real plants are multiscale in nature and noisy, we plan in future work to merge the desirable LSTM model with the wavelet-based multiscale presentation [29]. This permits to get a multiscale LSTM model able to capture feature in both time and frequency and possess good ability to handle noisy data.
This publication is based upon work supported by King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR) under Award No: OSR-2019-CRG7-3800.
UNESCO [1] defined
The recently introduced term “
UNESCO [1] further notes that cultural heritage is not only a source for business and economy, but a fundamental condition for the maintenance and development of society and its economy. In terms of value, cultural heritage assets comprise both economic and cultural value. Cultural value is a complex concept that spans several dimensions: aesthetic, spiritual/religious, social, historical, symbolic and authenticity value [8]. Accordingly, “the
The most readily accessible experience of cultural heritage is in the realm of
McKercher et al. [14] stress the complexity of cultural tourism, as reflected in the variety of perspectives adopted for its definition: tourism-derived, motivational, experiential and operational. ICOMOS [15] describes cultural tourism as a form of tourism whose object includes the discovery of monuments and sites. Richards [16] defines
There are different types of
Cultural tourists in growing numbers pursue an in-depth appreciation and understanding of different aspects of the culture and heritage of the places they visit. Cultural heritage tourists are in search of authentic experiences associated with a variety of cultural traits that are linked to distinct geographic locations. Dallen [19] highlights this diversity, stating that cultural heritage tourism “encompasses
Recent years have seen the growing digitisation of cultural heritage, leveraged by innovative information technologies (imaging technologies, multimedia, virtual reality etc.). Advanced digitisation, and digital preservation and accessibility have been instrumental in transforming conservation and scientific research methods in the field of cultural heritage, as well as people’s experience of cultural heritage assets, relics, and monuments. Digitisation and immersion technologies are already in use in the context of cultural tourism in museums and on location. At the same time, a manifold of new applications and services can be generated from the adoption and adaptation of relevant technologies already applied in other sectors (e.g. 2D/3D digital scanning technologies applied in the construction industry).
On the consumer side, technology is driving change in lifestyles. New forms of tourism are emerging in the place of conventional tourism. Alsos et al. [13] note a transition of the tourism sector towards more experience-based products. Experiences are inherently personal. When a person buys an experience, they pay for a memorable event staged by the experience provider to engage them in an inherently personal way, on an emotional, physical, intellectual, or even spiritual level [21]. Stamboulis, and Skayannis [22] further explain that in this experience-based exchange the tourist enters into a multifaceted interaction with the actors and the setting of a narrative staged by the local community.
The United Nations World Tourism Organisation [23] concluded that “Culture and tourism have a symbiotic relationship”. This symbiotic relationship is increasingly facilitated by information and communication technologies. Overall, the economic valorisation of cultural heritage through tourism implies incorporating cultural heritage into the tourism supply [24], which means viewing cultural heritage as a component in the production of heritage-related tourism products and services. Given the high market interest of cultural tourism, local destinations strive to leverage what makes their societies unique, promote the region’s cultural identity, in order to boost economic growth. According to Opačić [24], tourism valorisation of cultural heritage includes several steps, starting with the identification of cultural heritage suitable for conversion into tourism attractions.
Advanced digital technologies for cultural heritage management, study and analysis, conservation, restoration, and preservation, access and communication, are transforming conservation and scientific research methods in cultural heritage, as well as people’s experience of cultural heritage relics, monuments and events. At the same time, digital technologies are enhancing the experiential and interpretive dynamics of the cultural heritage representations and creating innovative environments for consumers to discover, capture and experience cultural heritage and events, thus promoting the creation of new value chains for tourism through the digitisation of cultural heritage. Integral to this is the combined use of innovative digitisation technologies and affordable consumer electronic equipment, which is making innovative cultural heritage experiences accessible to all.
Following a literature review methodology, in the subsequent sections, our research will provide a critical appraisal of carefully selected work from recent scientific literature and contribute to the systematisation of the current knowledge in the field towards the identification of key challenges and the extraction of new insights in terms of potential for practical applications and future research directions in the area.
The methodology applied for this research was exploratory in nature, based on an extensive review of the available literature. In recent years, there has been an increasing number of studies linking cultural heritage with digital technologies. To offer a broad overview of this emerging research domain, a review of academic literature was undertaken to examine relevant publications in the Web of Science database. The purpose of this study was to review the existing literature to describe the state-of-the-art in key areas of interest and to identify key challenges, in order to extract new insights in terms of potential for practical applications and future research directions in the area.
Scope of literature review:
Literature sources: all corpora included in the Web of Science database
Timeframe: 2017–2021 (covering all eligible literature in last 5 years)
Geographical coverage: all-inclusive
Literature selection: the literature search (covering a time window of the last 5 years) used two groups of keywords. The first group included the terms “heritage experience”. The second group referred to ADR detection and included the terms: “Technology”, “Digital”, “Virtual” etc. Thus, the literature search query for article selection had the logical form of: {heritage experience} AND {digital technology, or equiv.}.
An electronic search of Web of Science (3 June 2021) was performed using the following search string:
The initial search resulted in a total of 824 articles. All search results were subsequently scanned, based on the title and abstract, to determine whether the respective article should be included or not in the study. Following screening, 246 documents were excluded as they were not directly linked to the specific topic of the present study. This resulted in a final collection of a total of 578 articles. Additional records were identified through their list of references and other sources. Extracted information included [25] article title, author and publication year; [26] area of focus; [13] technology; [21] quality-related information; and [9] results and significant findings from the application.
We also reviewed research action under the EU Horizon 2020 programme (2014–2020) [27]. The Horizon 2020 programme featured initiatives aimed at the preservation and valorisation of cultural heritage, specifically targeting areas such as the curation of digital assets and advanced digitisation, cost-effective technologies for advanced 3D modelling, Virtual Museums etc. [7].
With regards to museums, the study revealed a strong correlation with digitisation, followed by a strong interest in immersive technologies (virtual/augmented reality) and the development of specific applications for museum visitors to experience the exhibits. Mobile access is also among the focus points, while 3D representation is gaining ground. Less discussion is made about web portals in the present time frame, as this was strongly pursued in earlier times.
The most significant insights drawn are outlined in the following sections. Section 3 provides an overview of the study results, Section 4 discusses the application of advanced digitisation technologies for powering cultural heritage experiences, while Section 5 summarises the current challenges and examines the way forward.
With regards to the application of digital technologies in cultural heritage, the study revealed a broad scope: (a) to promote the preservation of cultural heritage and assist scientific research, and (b) to enhance the communication of digital heritage. The following Figure (Figure 1) provides an example of key applications of advanced digitisation technologies and applications in the context of cultural heritage. Three main areas have been identified: preservation, research on, and communication of cultural heritage. The first two relate to making sense of and interpreting cultural heritage. The latter is about how cultural heritage is divulged and experienced.
Key applications of advanced digitisation in cultural heritage.
Accommodating cultural heritage experiences mainly falls under communication of cultural heritage and cultural tourism, but also draws from advances in cultural heritage preservation. The study revealed that digital technologies are reshaping the cultural heritage value chains, by affecting both the
In the following section we discuss critical developments in the back office and front end.
The research results identified several novel digital transformation approaches to improve the preservation of cultural heritage in the back-office. Focal point is the digital preservation of cultural heritage.
Digitisation and archiving constitute the foundations for the development of virtual heritage applications and services. Recent advancements in information and communication technologies have made it possible for heritage artefacts to be preserved and made available in digital form. Already in 2011, the European Commission’s Recommendation on the Digitisation and Online Accessibility of Cultural Material (2011/711/EU) emphasised [30] the importance of bringing Europe’s cultural heritage online, for improving access to and promoting the re-use of digitised cultural heritage material, e.g. by the creative sector. Recent years have seen a growing trend towards the
Cloud computing technologies facilitate the aggregation, storage and reuse of digital content. A wide array of national and international, thematic or domain-specific cultural heritage
Nonetheless, challenges to aggregation continue to persist, referring to issues that range from the lack of granular and rich descriptive metadata [32], to technical interoperability and copyright [33, 34].
Organised memory institutions (e.g. museums, libraries, archives) hold disparate collections of heritage resources, in terms of format, organisation and storage. Digitisation efforts are often fragmented and ineffective, with smaller organisations lacking the knowledge and resources needed, and further being unable to attract significant visibility to impact tourism and the local economy. To ensure the quality of digitised materials, digitisation standards and specifications, as well as guidelines concerning interoperability and metadata descriptions. Several domain-specific standards have been adopted, such as LIDO for museums, EAD for archives and METS for digital libraries. Led by Europeana, standardisation and common approaches for content and metadata management represent an on-going priority for Europe. The Europeana Data Model (EDM) is a cross-domain metadata standard that enables content interoperability, exchange and aggregation.
The need to improve the quality of cultural heritage metadata and collection management systems (CMSs) is stressed [35]. Metadata enrichment through crowdsourcing annotation services [32] and machine learning techniques [36, 37, 38, 39] is recommended.
Digitisation goes beyond the transposition of analog objects into the digital space. A key concern is the
Cultural heritage is not limited to culture repositories and digital collections. Intangible cultural assets include the living arts, traditional folklore culture and crafts [40]. Furthermore, the largely untapped potential of cultural heritage embedded in individual memory needs to be harnessed through citizen’s collection and interpretation of digital heritage [41, 42, 43]. Nowadays, we are witnessing a transition towards social engagement in culture that is driven by the rise of digital content production and digital connectivity. Crowdsourcing and digital storytelling can help capture the
In recent years, numerous initiatives have been launched, involving the modelling and rendering of digital cultural heritage in 3D for research and preservation and/or communication purposes. Cultural heritage artefacts that traditionally were presented in two-dimensional form are increasingly captured, modelled and visualised in three dimensions and/or in 3D virtual environments [45]. The 3-D model can be realised from physical objects (according to a “reverse modelling” process) or directly assembling 3-D digital forms. It could provide a photorealistic image or a symbolic representation of the original artefact, depending on the object and the scope of the representation. Advanced digitisation technologies have been instrumental in transforming conservation and scientific research methods in cultural heritage, as well as people’s experience of cultural heritage relics, monuments and events [28, 29, 46, 47, 48, 49].
New technologies and techniques, such as photogrammetry [50] and laser scanning [51], allow for more accurate digital capture of 3-dimensional objects and surfaces. Early efforts included modelling and rendering of artefacts and architecture from photographs (e.g. [52]). Current applications employ advanced non-contact close or long range scanning, modelling, analysis and computer-based visualisation tools to produce: three-dimensional (3D) recordings of archaeological sites and buildings (e.g. [53]) and of small objects (e.g. [54]) and three-dimensional visualisations of cultural heritage sites, using airborne scanning and imaging [55] or from geospatial information [56].
Digitisation technologies are already in use in the field of heritage (e.g. in museums or monuments). Limited research and solutions can be found regarding the interaction between cultural heritage, scan/photo and immersive technologies, potential customers and visitors’ experiences in the cultural tourism locations, events and attractions. The use of advanced 2D/3D digital scanning of small and large-scale objects and surroundings and the valorisation of the digital spatial models produced has the potential to create unique, immersive cultural experiences, using affordable consumer electronics.
The introduction of technologies for cultural heritage communication has revolutionised the concept of “museum experience” and “historic site experience”, leading to the emergence of novel services powered by the
Digital technologies have the potential to redefine the way visitors experience and connect with museums and cultural sites, as well as expand the on-site visit with prior and post experiences [61]. Most heritage sites are multidimensional and dense with meaning. Different cultural heritage contexts can coexist and serve as a backdrop for many overlapping services and experiences, suitable for diverse audiences. As the motivations, interests and degree of engagement of audiences vary, creating relevant cultural heritage experiences that engage and resonate with each visitor represents a challenge for the sector. The early “electronic” tour guide model was based on predefined itineraries, complemented by the synchronised delivery of textual and/or multimedia content that was curated by museum experts. The evolution of Ubiquitous Computing technologies enabled the introduction of context-aware and location-aware features that offer the user increased degrees of freedom (e.g. through the combined use of mobile phones and RFID technologies). Traditional linear narratives (e.g. in the form of typical guided tours) are thus replaced by
Digital storytelling represents an effective way to deliver content in cultural heritage [68], achieve emotional resonance and create human connection. Immersive experiences can put the visitor in control of the content and make them feel as if they are a part of the exhibit or program [63, 64]. The combination of advanced immersive technologies with storytelling techniques, can help create
For example, the GIFT project developed a portfolio of free, open-source tools and methods that museums can use to enrich the physical experiences of their visitors, such as a Mobile Game to encourage collaborative storytelling within the museum [70]. The EMOTIVE project developed immersive storylines using a range of technologies including virtual and augmented reality and mobile phone apps, to create more ‘emotive’ cultural site visits [69].
Digital technologies can help enrich a physical visit to a cultural site or a museum, with rich complementary content tailored to the needs of the visitor. Heritage sites can be enriched by scanning and overlaying virtual annotations on top of these places. Devices can be directed at the point of interest, and 2D/3D e.g. texts, sounds, icons, videos are added to the users’ view. These applications provide visitors with immediate cultural location-based information regarding specific points of interest [72], they allow them to explore personal cultural locations and points of interest [73] and give them opportunities to discover new or unknown knowledge [74]. Every cultural site has a specific “wow-factor” that has to be captured and transported via digital technology and digital communication channels. From the provider view, new business models and opportunities can be identified and initiated using novel digitisation technologies [75], which can help increase the competitiveness of the cultural site [76] with significant spillover effects on the local economy. Recent research efforts go beyond visual, sound, or narrative enhancements, to provide visitors with multisensory stimulations [77].
For people with
The online presence of museums is changing, with traditional museum websites evolving into
Ambient intelligence technologies (AmI) provide the means for personalizing content and user interfaces (UIs) to each individual user [86].
Virtual museums have also emerged. The term
For example, the “Underwater Malta”, virtual museum for submerged cultural heritage, provides access to numerous inaccessible underwater archaeological sites [95]. This is facilitated by recent advances in underwater imaging and processing software and the development of 3D photogrammetry of submerged sites. The GRAVITATE project developed software tools to allow archaeologists and curators to reconstruct shattered or broken cultural objects and to identify and re-unify parts of a cultural object that has been separated across collections [96]. Similarly, the Time Machine project [25] combines digitised archives from museums and libraries, with Artificial Intelligence and Big Data mining, to offer richer interpretations of our past. The project developed a 4D (3D plus time) engine which ‘recreates’ past cities, as digital twins of our cities (‘Mirror Worlds’) that is accessible from mobile phones or through specific Augmented Reality interfaces. 3D models can “
In the last two years the Covid-19 pandemic, which disrupted the daily routine of museums and brought the global tourism industry to a standstill prompted the adoption of innovative approaches building on digital instruments, such as
Advances in digital technologies are helping connect a person’s cultural heritage experiences to their “daily” life, i.e. they provide the means to enhance other experiences outside the museum site, based on experiences at the museum site [61].
Overall, immersive experiences for cultural heritage can take shape in a variety of forms, including the use of augmented reality, virtual reality, serious games and gamification, embodied interaction etc. Central ls the role of Virtual Reality and Augmented Reality which allow for new ways of experiencing cultural heritage. Augmented reality can overlay additional information onto existing artefacts, while virtual reality facilitates fully immersive virtual explorations [104]. Virtual Reality head-mounted displays (HMD) provide a first-person stereoscopic view of the environment and the ability to physically change the looking direction with head rotations. Mixed reality and semi-immersive VR applications combine the real and virtual environments [26]. Audio augmented environments, featuring concepts like sonic narratives, soundscapes and binaural spatialisation are also being explored in the cultural heritage context [71].
Central to this shift is the rise of mobile communications and the rapid uptake of smartphone technology. Users today are increasingly connected to the world of digital information while “on the go” via mobile devices. GSMA [105] estimates that the number of unique mobile subscribers will reach 5.8 billion by 2025, equivalent to 70% of the world’s population. Τhe European Travel Commission (ETC) stressing that ownership of mobile devices and mobile online access is high and increasing, reached the conclusion that in the future those travelling within and to Europe will be smartphone-equipped and will have both the technological capability and the online access to engage with online content that will make their travel and experiences richer and smoother. Smartphones, tablets and other mobile and handheld technologies are increasingly playing a central role in touristic experience mediation [106] and as a travel tool during all stages of tourism consumption [84]. Wang et al. [106] noted that “the instant information support of smartphones enables tourists to more effectively solve problems, share experiences, and “store”memories”. Dickinson et al. [84] concluded that smartphones are enhancing temporal and spatial awareness, i.e. are evolving society’s contemporary understandings of time and relationships with place and things in significant ways for travel by (a) enhancing the temporal alignment between people, the things they need, destinations and attractions, and activity options and (b) providing tourists with enhanced spatial tools and awareness (place-related information and content), ultimately leading to knowledge-rich visitors.
The present chapter discussed the emerging paradigm of cultural heritage experience, as shaped by the continuous advances in information technologies. Cultural heritage experiences can benefit greatly from the current trend towards digitalisation, systematisation and accessibility of digital cultural resources. Advancements in technology are creating new opportunities to digitise cultural heritage for preservation, conservation, restoration, research, as well as for broader online access and re-use by citizens and various sectors, such as tourism. The amount of digitised cultural material is growing very rapidly, also thanks to numerous initiatives for the digitisation of cultural heritage content belonging to museums, libraries, archives etc. The experience of cultural heritage is constantly evolving and is expected to continue to develop in complexity and sophistication, as new opportunities for the technological representation and communication of culture emerge and the types of transaction and encounter with tangible and intangible cultural heritage increase.
The experience of cultural heritage will continue to develop in complexity [9]. The shift towards more sophisticated technology-enhanced cultural heritage experiences is facilitated by the growing digitisation of cultural heritage, continuous innovations in 2D/3D digital scanning, in image enhancement and 3D reproduction, and in immersion technologies, the emergence of advanced equipment (such as head-mounted displays (HMD), the affordances of ubiquitous computing and mobile applications and novel easy-to-use authoring tools. Advanced digitisation, and digital preservation and accessibility have been instrumental in transforming people’s experience of cultural heritage assets, relics, and monuments, as well as of intangible heritage. The ViMM project concluded that harnessing additional technologies will have increasing relevance for museums and cultural heritage institutions, including: artificial intelligence; computer vision; deep learning/machine learning; and adaptive cognitive methods [107].
Given the strong economic spill over effect of cultural heritage, interest in advancing the communication of cultural heritage goes beyond the traditional players of the sector: GLAM organisations (i.e. Galleries, Libraries, Archives, and Museums), cultural and historic sites etc.
Regions and local communities increasingly pursue the valorisation of their local heritage, leveraging what makes their societies unique, to promote their cultural identity and boost economic growth. Communicating cultural heritage to visitors in understandable and engaging ways is challenging, yet it represents an increasingly important aspect of tourism destination marketing. Presently, the relationship between tourism and culture is transformed by the affordances of new technologies. Advanced digital technologies can accommodate the provision of value-added learning experiences to visitors to increase the attractiveness of heritage sites.
Developing cultural heritage experiences is a
Required technical capabilities thus range from back-office infrastructures for digitisation, standardisation, storage and retrieval, computing, connectivity, instrumentation and online accessibility of cultural materia, to authoring, service development and collaboration tools, to digital solutions for the technology-enabled experiencing of cultural events, arts and heritage and the creation of new applications on new devices, for different audiences and for different purposes.
Offerings should be expert-driven and
Of particular importance is to increase awareness and acceptance of the “Digital Turn” within the cultural heritage community. Increasingly cultural institutions will have to incorporate technology solutions within their day-to-day responsibilities. Skills requirements and organisational aspects also need to be considered.
This is a brief overview of the main steps involved in publishing with IntechOpen Compacts, Monographs and Edited Books. Once you submit your proposal you will be appointed a Author Service Manager who will be your single point of contact and lead you through all the described steps below.
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\n\nIntechOpen authors can choose whether to publish their book online only or opt for online and print editions. IntechOpen Compacts, Monographs and Edited Books will be published on www.intechopen.com. If ordered, print copies are delivered by DHL within 12 to 15 working days.
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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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From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:42,paginationItems:[{id:"82914",title:"Glance on the Critical Role of IL-23 Receptor Gene Variations in Inflammation-Induced Carcinogenesis",doi:"10.5772/intechopen.105049",signatures:"Mohammed El-Gedamy",slug:"glance-on-the-critical-role-of-il-23-receptor-gene-variations-in-inflammation-induced-carcinogenesis",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Chemokines Updates",coverURL:"https://cdn.intechopen.com/books/images_new/11672.jpg",subseries:{id:"18",title:"Proteomics"}}},{id:"82875",title:"Lipidomics as a Tool in the Diagnosis and Clinical Therapy",doi:"10.5772/intechopen.105857",signatures:"María Elizbeth Alvarez Sánchez, Erick Nolasco Ontiveros, Rodrigo Arreola, Adriana Montserrat Espinosa González, Ana María García Bores, Roberto Eduardo López Urrutia, Ignacio Peñalosa Castro, María del Socorro Sánchez Correa and Edgar Antonio Estrella Parra",slug:"lipidomics-as-a-tool-in-the-diagnosis-and-clinical-therapy",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11669.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82440",title:"Lipid Metabolism and Associated Molecular Signaling Events in Autoimmune Disease",doi:"10.5772/intechopen.105746",signatures:"Mohan Vanditha, Sonu Das and Mathew John",slug:"lipid-metabolism-and-associated-molecular-signaling-events-in-autoimmune-disease",totalDownloads:17,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11669.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82483",title:"Oxidative Stress in Cardiovascular Diseases",doi:"10.5772/intechopen.105891",signatures:"Laura Mourino-Alvarez, Tamara Sastre-Oliva, Nerea Corbacho-Alonso and Maria G. 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Waisundara",profilePictureURL:"https://mts.intechopen.com/storage/users/194281/images/system/194281.jpg",biography:"Dr. Viduranga Waisundara obtained her Ph.D. in Food Science\nand Technology from the Department of Chemistry, National\nUniversity of Singapore, in 2010. She was a lecturer at Temasek Polytechnic, Singapore from July 2009 to March 2013.\nShe relocated to her motherland of Sri Lanka and spearheaded the Functional Food Product Development Project at the\nNational Institute of Fundamental Studies from April 2013 to\nOctober 2016. She was a senior lecturer on a temporary basis at the Department of\nFood Technology, Faculty of Technology, Rajarata University of Sri Lanka. She is\ncurrently Deputy Principal of the Australian College of Business and Technology –\nKandy Campus, Sri Lanka. She is also the Global Harmonization Initiative (GHI)",institutionString:"Australian College of Business & Technology",institution:{name:"Kobe College",institutionURL:null,country:{name:"Japan"}}}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. Her research interests include microalgal biotechnology with an emphasis on microalgae-based products.",institutionString:"Universidade Federal de Santa Maria",institution:{name:"Universidade Federal de Santa Maria",institutionURL:null,country:{name:"Brazil"}}}]},{type:"book",id:"7953",title:"Bioluminescence",subtitle:"Analytical Applications and Basic Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7953.jpg",slug:"bioluminescence-analytical-applications-and-basic-biology",publishedDate:"September 25th 2019",editedByType:"Edited by",bookSignature:"Hirobumi Suzuki",hash:"3a8efa00b71abea11bf01973dc589979",volumeInSeries:4,fullTitle:"Bioluminescence - Analytical Applications and Basic Biology",editors:[{id:"185746",title:"Dr.",name:"Hirobumi",middleName:null,surname:"Suzuki",slug:"hirobumi-suzuki",fullName:"Hirobumi Suzuki",profilePictureURL:"https://mts.intechopen.com/storage/users/185746/images/system/185746.png",biography:"Dr. Hirobumi Suzuki received his Ph.D. in 1997 from Tokyo Metropolitan University, Japan, where he studied firefly phylogeny and the evolution of mating systems. He is especially interested in the genetic differentiation pattern and speciation process that correlate to the flashing pattern and mating behavior of some fireflies in Japan. He then worked for Olympus Corporation, a Japanese manufacturer of optics and imaging products, where he was involved in the development of luminescence technology and produced a bioluminescence microscope that is currently being used for gene expression analysis in chronobiology, neurobiology, and developmental biology. 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Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Bacterial Infectious Diseases",value:3,count:2},{group:"subseries",caption:"Parasitic Infectious Diseases",value:5,count:4},{group:"subseries",caption:"Viral Infectious Diseases",value:6,count:7}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:2},{group:"publicationYear",caption:"2021",value:2021,count:4},{group:"publicationYear",caption:"2020",value:2020,count:3},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:250,paginationItems:[{id:"274452",title:"Dr.",name:"Yousif",middleName:"Mohamed",surname:"Abdallah",slug:"yousif-abdallah",fullName:"Yousif Abdallah",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274452/images/8324_n.jpg",biography:"I certainly enjoyed my experience in Radiotherapy and Nuclear Medicine, particularly it has been in different institutions and hospitals with different Medical Cultures and allocated resources. 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. His research interests include computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, intelligent systems, information technology, and information systems. Prof. Sarfraz has been a keynote/invited speaker on various platforms around the globe. He has advised various students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He is a member of various professional societies and a chair and member of the International Advisory Committees and Organizing Committees of various international conferences. Prof. Sarfraz is also an editor-in-chief and editor of 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:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/267434/images/system/267434.jpg",biography:"Dr. Rohit Raja received Ph.D. in Computer Science and Engineering from Dr. CVRAMAN University in 2016. His main research interest includes Face recognition and Identification, Digital Image Processing, Signal Processing, and Networking. Presently he is working as Associate Professor in IT Department, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur (CG), India. He has authored several Journal and Conference Papers. He has good Academics & Research experience in various areas of CSE and IT. He has filed and successfully published 27 Patents. He has received many time invitations to be a Guest at IEEE Conferences. He has published 100 research papers in various International/National Journals (including IEEE, Springer, etc.) and Proceedings of the reputed International/ National Conferences (including Springer and IEEE). He has been nominated to the board of editors/reviewers of many peer-reviewed and refereed Journals (including IEEE, Springer).",institutionString:"Guru Ghasidas Vishwavidyalaya",institution:{name:"Guru Ghasidas Vishwavidyalaya",country:{name:"India"}}},{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:{name:"University of Silesia",country:{name:"Poland"}}},{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:null,institution:{name:"Beijing University of Technology",country:{name:"China"}}},{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:"265335",title:"Mr.",name:"Stefan",middleName:"Radnev",surname:"Stefanov",slug:"stefan-stefanov",fullName:"Stefan Stefanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/265335/images/7562_n.jpg",biography:null,institutionString:null,institution:{name:"Medical University Plovdiv",country:{name:"Bulgaria"}}},{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:"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:"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:"Igor Victorovich Lakhno 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.\nPh.D. – 1999, Kharkiv National Medical Univesity.\nDSC – 2019, PL Shupik National Academy of Postgraduate Education \nProfessor – 2021, Department of Obstetrics and Gynecology of VN Karazin Kharkiv National University\nHead of Department – 2021, Department of Perinatology, Obstetrics and gynecology of Kharkiv Medical Academy of Postgraduate Education\nIgor Lakhno has been graduated from international training courses on reproductive medicine and family planning held at Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor in 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 been a professor in the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics, and gynecology department. He’s affiliated with Kharkiv Medical Academy of Postgraduate Education as a Head of Department from November 2021. Igor Lakhno has participated in several international projects on fetal non-invasive electrocardiography (with Dr. J. A. Behar (Technion), Prof. D. Hoyer (Jena University), and José Alejandro Díaz Méndez (National Institute of Astrophysics, Optics, and Electronics, Mexico). He’s an author of about 200 printed works and there are 31 of them in Scopus or Web of Science databases. Igor Lakhno is a member of the Editorial Board of Reproductive Health of Woman, Emergency Medicine, and Technology Transfer Innovative Solutions in Medicine (Estonia). He is a medical Editor of “Z turbotoyu pro zhinku”. Igor Lakhno is a reviewer of the Journal of Obstetrics and Gynaecology (Taylor and Francis), British Journal of Obstetrics and Gynecology (Wiley), 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 a DSc degree “Pre-eclampsia: prediction, prevention, and treatment”. Three years ago Igor Lakhno has participated in a training course on innovative technologies in medical education at Lublin Medical University (Poland). 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: are obstetrics, women’s health, fetal medicine, and cardiovascular medicine. \nIgor Lakhno is a consultant at Kharkiv municipal perinatal center. He’s graduated from training courses on endoscopy in gynecology. He has 28 years of practical experience in the field.",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. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{id:"243698",title:"Dr.",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:null,institution:null},{id:"7227",title:"Dr.",name:"Hiroaki",middleName:null,surname:"Matsui",slug:"hiroaki-matsui",fullName:"Hiroaki Matsui",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Tokyo",country:{name:"Japan"}}},{id:"312999",title:"Dr.",name:"Bernard O.",middleName:null,surname:"Asimeng",slug:"bernard-o.-asimeng",fullName:"Bernard O. 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We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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