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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"69",leadTitle:null,fullTitle:"Electric Machines and Drives",title:"Electric Machines and Drives",subtitle:null,reviewType:"peer-reviewed",abstract:"The subject of this book is an important and diverse field of electric machines and drives. 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Lecturers especially in Africa’s Higher Education Institutions (HEIs) are facing unprecedented change, with often larger classes, more diverse students, demands from government and employers who want more accountability and the development of graduates who are workforce ready, and above all, needing to cope with an ever-changing technological landscape [1, 2]. To handle changes of this nature, lecturers and instructors need a theoretical base and knowledge that provide a solid foundation for their teaching, no matter what changes or pressures they face. There is need, therefore, to study and understand the underlying principles that guide effective teaching in an age when everyone, and in particular the students, are using and understanding technology better than their teachers especially in the developing world. A framework and a set of guidelines need to be developed by a university with vast knowledge and practice in online learning to build an appropriate model, theoretically sound, which allows making decisions coherently about pedagogical foundations of teaching, low cost but versatile technologies that can be deployed for classroom use and hybrid ad online delivery based on their vast experience in handling classes in technology rich ecologies. This can be done while keeping in mind that every subject discipline is different, and every lecturer has something unique and special to bring to their teaching which needs exploiting and nurturing to its full potential.
The need for this kind of mentorship from Universities already practicing blended learning is dire with the developments witnessed in the recent past where the COVID-19 pandemic has rendered all institutions non-operational from basic to higher education institutions (HEIs) in a country like Kenya [3, 4]. The basic education institutions would have been seeking mentorship from the HEIs but as it is, the HEIs were all shut down and looking to institutions in the west for support and mentorship. This kind of scenario spelled the urgency for this book project so that in future, HEIs in developing countries, more specifically Kenya, could have Maseno University (MU) as a mentor within its borders that the government can turn to for guidance and leadership in a major shift from face to face (F2F) to online classroom delivery mode. Recently, the COVID-19 pandemic forced a major global experimentation with remote teaching. But most of the experts agree that remote teaching as applied was an emergency measure from which lessons learned must not be lost but documented for future. There are many indicators that this crisis has transformed the education sector and good practice when document, will provide useful lessons in the post-COVID-19 period. As this crisis-driven experiment was launched at MU, it is expected that the process must not be lost as it proves useful guidelines for other universities hoping to be part of this shift.
As MU eCampus team began to consider institutional shift from F2F to online and blended modes on behalf of the University Management, despair almost overwhelms the team. Several questions were raised: How to preserve what most lecturers consider as most essential — the regular student interaction, the freewheeling give-and-take as discussion on a particular source or topic take place — if the class cannot be together in the same physical space at the same time? How to take a course that seemed to depend on synchronous activity and make it work in a completely asynchronous environment? And even if acceptable answers to these questions are found, where would the university begin? Fortunately, the university did not try to reinvent the wheel. The university received assistance from colleagues from Open University of Catalonia (OUC), Association of Commonwealth Universities among others who were more familiar with the online world than the colleagues from MU. Faculties from MU were able to tap into their expertise and get introduced to a valuable collection of resources about online teaching and learning. That, in turn, helped MU to develop online or blended versions of its regular F2F courses that far surpass expectations, judging from how well their courses have performed, and get ready for any other unexpected circumstance equal or similar to which we have lived facing the pandemic.
Today, the outburst in developments in educational technology and the fact that the ed-tech arena is a crowded field may overwhelm. At any given time, there is at least one app or platform screaming about how it is the newest, best, easiest tool for online courses [5]. And that app or platform is just as likely to be gone within a year as it is to become and remain a valuable teaching tool. How does one make a decision on good digital tools that (a) afford students the means of interacting substantively with lecturer and with one another, (b) enable a deep engagement with course materials or applications, and (c) affordable in low-income institution like MU? Yet still, in the shift in learning modes, several variables need to be considered: The planning process, learner characteristics, design and delivery methods, learning contexts, workplace environment and the already existing barriers to this shift. A successful shift, however, needs to move beyond asking which method is most effective to the important role of pedagogy that actually takes into account a social element in online delivery which is important to student engagement and knowledge acquisition [6]. One important pedagogical theory that addresses this is constructivism. It offers a model that addresses the social needs of students as well as providing an opportunity for critical inquiry and subsequent knowledge acquisition. However, for attitudes to change and trust to be built there is need to co-develop online systems where university management teams are involved in decision making based on existing university delivery systems. However, knowing about pedagogy and practicing the pedagogy are two different things. In this project, it is hoped that mentorship by Open University of Catalonia (OUC) or any other informed user would inculcate correct attitudes and a shift in institutional culture at MU that would allow for development of the expected institutional culture that blends with constructivism as a classroom would take root. This would open the door for setting the correct environmental climate needed to introduce online and blended learning as modes of practice at MU.
Maseno University already had a robust and very interactive learning management system running on Moodle (Modular Object-Oriented Dynamic Learning Environment). However, the institution has not been able to adopt online and blended learning because of shortcomings that need to be addressed in this project. The chief of these being lack of policy to guide the uptake of fully online and blended learning for faculty and students; insufficient knowledge of pedagogical orientations needed to implement these new modes of instructional delivery; and a model for carrying out mass capacity building for lecturers to allow them to develop and teach online and blended courses.
The goal of this chapter is to document the processes the university had to go through in making the shift from a traditional face to face institution to a modern university having F2F, blended and online learning. The processes it had to consider were: carry out capacity building for lecturers in online pedagogy, content development and facilitation in a bid to build a new university community culture that is positive towards affordances of online and blended learning; and expand its technology infrastructure to support the twenty thousand plus students at the university.
The specific objectives of this chapter are to document how to:
Mainstream quality conceptual pedagogy for online and blended learning that would create a change process with a genuine paradigm shift in instructional strategies within the institutional;
Create a model for online and blended content development that allows seamless shift in learning modes within a traditional face to face university, especially set up for MU;
Prepare a set of mechanisms, and resources for training of staff to learn to teach online;
Design a policy to guide online and blended learning activities with the university; and
Choose low cost but effective technologies for classroom instruction in the light of existing economic constraints within the University.
The eCampus was established in the year 2007 to spearhead the development of institutional policies and strategies for promoting the innovative use of information and communications technologies (ICTs) to benefit learning, teaching and research activities in Maseno University. Located in Kisumu City, the eCampus boasts of an open office work environment that models good office practice to the university community. As currently constituted, the eCampus operates on a different time, different place (home study, computer conferencing, tutorial support by e-mail and fax communication), recognized as Scenario 4 in the Commission of University Education (CUE) Open Distance and eLearning (ODeL) standards and guidelines as stated in the Universities Standards, 2014.
The eCampus of Maseno University is a pioneer workstation using modern technologies to offer quality higher education for learners within the region and globally. This involves use of the internet to support teaching and learning activities. Developed around a web-based learning management system (LMS), this approach has attracted a large number of undergraduate and postgraduate students who registered for differentcertificate, diploma and degree programmes spanning seven schools within the university. In addition, eCampus provides an ambient platform that mounts university common courses offered to all students registered for various undergraduate programmes in all the campuses of MU, irrespective of their mode of study i.e. full-time, part-time, weekend, sandwich or eLearning. These courses are mandatory and are currently offered online at the eCampus of Maseno University through the LMS, also known as the Maseno University eLearning Portal. To achieve quality eLearning standards on programmes offered at the eCampus, there is a robust quality and effective monitoring and evaluation mechanism in place.
The eCampus operations are domiciled in 4 key support areas: Content Development; Learner Support Services; Capacity Building; and Research, monitoring and Evaluation. The functions of each of these key areas are discussed in the sections that follow.
The content development follows internationally acceptable norms [7, 8, 9] and all content offered at the eCampus is developed by the content expert nominated by the department offering a specific programme at the eCampus. The programmes offered at eCampus are provided on a modular basis to give maximum flexibility to the participants as well as on a blended basis as part of regular full time face-to-face programmes. The programmes specify core materials to be covered and guidelines detailing total content required for completion. The eCampus technical team (Instructional designers, systems support specialists and graphic designers) and the host Departments are jointly responsible for capacity building for module development, evaluation and related quality assurance procedures.
Module development, delivery and assessment are undertaken by a course development team (course developer, editor and reviewer) in the host departments as appointed by the Dean, in line with the University Statutes. This team is assisted by a support team (instructional designer, graphic designer, multi-media specialist, eLearning System support specialist, eLibrary assistant and copyright officer) from eCampus so as to ensure that guidelines for content development, review, uploading, packaging and branding are adhered to. Each module provides clear learning outcomes, course content, instructional mode and assessment methods. The content development flow is represented in Figure 1 [10].
Didactical relationship model by Charlotte Lærke Weitze [
The eCampus uses an improved model of the didactic relationship in its content development by considering the target group for which content is intended; The content itself in terms level in the curriculum; The targeted learning outcomes; The pedagogical approach the content is hinged on; Organization of the content which in most cases is from simple to complex; The learning activities that enable the learner to achieve the outcomes in the shortest time possible; The assessment of student learning. To help further clarify issues in content development, the eCampus furnishes its content development experts with a content review rubric adapted from the Commonwealth of Learning. The rubric is used to focus the content development by considering the following key aspects: Navigation/Orientation (e.g., the course site is well organized and easy to navigate from the course home page to the course units, links, forums, etc.); Content (learners can engage with content together with peers as expectations are clear); Instructional Design (the content is pedagogically sound); Good flow in course structure; Student support structures are considered in the development; Technology or Media used is clear and available to learners; Assessment is ingrained in the developed material; and lastly quality assurance measures are considered in every part of the content development. It follows therefore that the eCampus endeavors to provide high quality online programmes that are supported by renown researchers [2] who believe that quality online programmes should beOpen: learning resources are accessible and available, including after the course; Navigable: well-planned interfaces allow students to find what they need; Learning: sites are designed to develop knowledge, skills, attributes and identity; Interactive: dialog is supported among and between teachers and learners; Networked: curriculum and activities foster broad-reaching connections; and Engaging: teachers invite, model and sustain enthusiastic presence for learning. These sentiments are summarized in the Table 1 below.
Open | Navigable | Learning | Interactive | Networked | Engaging |
---|---|---|---|---|---|
Create links from and to key industry research & websites. | Develop, share & follow a consistent Program glossary of educational terms. | Identify the key digital tools that graduates are likely to use and include them in the course. | Create a marked Discussion Forum and post a clear marking guide. Model strong interaction. | Dedicate marks to students posting completed assessment on a digital portfolio | Create & post an auto-biographical video about you and what attracted you to the taught discipline. |
Description of quality online programmes [11].
The eCampus has invested significantly in an online based learning management system (LMS). The learning content is uploaded to the learning management system. The LMS supports upload of multimedia and well as text-based resources. Student and course lecturers communicate using both synchronous and asynchronous instructional tools. Learner support assistants headed by a coordinator ensure the learning processes are efficient and effective. This is achieved by promoting effective Learner-Learner and Learner-Lecturer interactions employed through online learner support services.
As confirmed by research [12, 13] some of the most important online teacher competencies drawn from the experience at the eCampus include: communication skills; technological competence; provision of informative feedback; administrative skills; responsiveness; monitoring learning; and providing student support. The problems of the distance learners are unique and require to be handled differently. The efficiency of the delivery system will greatly depend not only on efficient modes of providing services but also on the staff of the university. The Online Support Service System should be developed for the learner community, along with other electronic media services [14]. In fact, a well-designed learner support system for the distance learning is a system for fostering creative, critical and independent thinking skills which inculcates deep learning [15]. The practice at eCampus was designed to avoid obvious pitfalls in online learning such as high attrition and repetition rates normally associated with unfacilitated online instructional practices [16]. The eCampus further believes as affirmed by research that good learner support services provide online learners with coaching and mentorship programmes to help them discover their interests; develop self-motivation, innovativeness and excellence in performance. This prepares them with essential skills for life and the workplace such as leadership, communication, self-awareness into their own strengths and weaknesses, initiative, problem-solving, innovation and critical thinking [17]. The learner support practice at eCampus can best be summarized in Figure 2 that follows as described specialists [18, 19].
Interaction and learner support [
The eCampus continues to organize online training for course lecturers, editors, reviewers, supervisors and facilitators to enable them to develop modules, edit content, review online modules, teach and supervise learners and offer online support to eLearning students. A mandatory foundation course is offered to course lecturers, editors, reviewers, supervisors and facilitators before embarking on specialized blended training. These training sessions are developed to ensure adherence to MU good practice guidelines for online interaction which is in line with international best practice especially during the pandemic [20, 21, 22].
HEIs in Africa like Maseno eCampus face the challenge of responding to the expanding demand for tertiary education while maintaining or enhancing the quality of their course offerings. This demand has led to some HEIs introducing the use of interactive web technologies to support their distance teaching and learning practices [23]. However, academic staff at these institutions may struggle to provide sufficient support to online learners in part due to inadequate staff capacity in terms of familiarity with and use of online communication tools and virtual learning environments. It is therefore necessary to develop capacity building strategies that are self-sustaining in such an institution.
Two key considerations from research [24] drive capacity building initiatives at the Maseno University eCampus. These are that in designing effective distance education programmes, engagement with and feedback from the learner is critical, and open-source solutions may be effective in meeting teaching objectives. Second is that in training initiatives for staff capacity building in HEIs that are just starting out in online learning initiatives: it is imperative for trainees to understand the relevance of the technology for the existing ecosystem and build for sustainability through the development of demand-driven country-specific and institution affordable applications. Capacity building at the eCampus relies mainly on the blended mode because the staff come from geographically dispersed locations; have limited flexibility because of work schedules and would face challenges attending fully in-person training; have limited daily time to devote to capacity building and would benefit from courses being split into short modules; have reliable access to the necessary technology and basic computer and internet skills; and appreciates learning at their own pace.
The paper hypothesizes a four-part framework to define the e-learning capacity gaps that these circumstances appear to represent: the “instructional design capacity gap”, the “production capacity gap”, the “tutorial capacity gap” and the “community building gap” [25]. Capacity building must be at the heart of moving from theory to practice. Increasingly, individuals need to understand different perspectives in their endeavor to manage the complexities of real-world problems [26]. This is particularly true in the case of the Nexus Approach which has been extensively borrowed and applied by the eCampus, which examines the challenges related to interconnected resources and in this case, the needs of staff at the university. It is clear that for capacity building measures to be successful, innovative approaches are required. The Nexus approach advocates for an inclusive approach to capacity building by anchoring all capacity building approaches on institutional policy; allowing dialog among participants while using the free flow of information to share best practice from participants. The outcome can only be scientific if informed by research during the capacity building session, and this builds into institutional practice (Figure 3) [26].
The nexus approach to capacity building [
The other model used in all capacity sessions at the eCampus is mentorship. Mentoring can help staff overcome difficulties in mastering several subjects in higher education while reducing failure rates and lowering dropout rates. Mentees receive personalized direction to improve attitudes, values, and skills needed to master the new issues in the curriculum and develop self-confidence in teaching with technology [26]. Mentoring programmes as used at the eCampus provide the necessary guidance and support in content and/or pedagogy, to aid technology novice lecturers in their ongoing professional development. Mentors in this case are colleagues in more advanced specific technology knowledge within the university or other educational consultants providing outside, research-based perspectives on the subject [27]. The eCampus uses mentorship at two levels in its capacity building session: The school champions are academic staff that have grasped the concepts and as a result provides mentorship at school level; they also use learner support assistants who are mainly administrative staff but with good technology skills and are then mentored by the eCampus technical staff to provide the needed technical support at school level. The two groups of staff are core to all capacity building activities at the eCampus. In developing countries like Kenya, access to and quality of education are being addressed by e-learning strategies and especially mentorship of academic staff serving as a useful tool of capacity building [28] in eLearning methodologies and practices.
Monitoring and Evaluation (M&E) are two distinct but complementary processes that mutually reinforce each other. In general, M&E is designed to monitor the impact of a policy, or progress of programme activities, against the overall goals, objectives and targets. M&E also assesses the outcome relevance of an activity, and the impact of a programme, or effectiveness of a policy, as well as its efficiency and sustainability [29]. OECD-DAC [30] defines monitoring as “the ongoing, systematic collection of information to assess progress towards the achievement of objectives, outcomes and impacts,” and it defines evaluation as “the systematic and objective assessment of an ongoing or completed project, programme or policy, its design, implementation and results, with the aim to determine the relevance and fulfillment of objectives, development efficiency, effectiveness, impact and sustainability. This unit at the eCampus of Maseno university does both monitoring and evaluation of the systems, programmes, learning outcomes and learning processes. It is this unit at the eCampus that ensures that quality procedures and processes are followed and adhered it. It also carries out periodic evaluations that inform policy and practice.
The Research, Monitoring and Evaluation (RM&E) Unit at the eCampus aims at improving the quality of its programmes operations and services. It further aims at maintaining high-quality outcomes in the physical and virtual spaces of the eCampus as per the approved quality assurance practices. This is achieved through on-going monitoring and evaluation of content development, learner support, capacity building and administrative processes at the eCampus. As such, the RM&E unit does not only conduct a review against the Commission for university Education ODEL Standards and Guidelines, but it also picks on the good practices and standards from international institutions with which the eCampus benchmarks, as well as quality improvement schemes like the Commonwealth of Learning (CoL) Quality Assurance rubric, ECBCheck and ACDE quality toolkit. Since student learning is the focal point of the eCampus, the RM&E unit examines all activities at the eCampus which contribute to quality learning outcomes.
The eLearning Postgraduate Research Support platform has been designed for the postgraduate student, and the aim is to support students at all levels of the postgraduate studies. As such, this area will link the student to fellow graduate students in all Schools and Departments within Maseno University eCampus. This allows students to share and discuss coursework and research experiences with other participants (peer researchers) and supervisors.
One key area of concern had been the postgraduate students’ research process. Due to the concerns raised on the process, the eCampus created a post-graduate students research support area to assist in continuous monitoring and evaluation of the research processes. Specifically, given the challenges students face at various levels of research phase of their studies, such as formulating research/study/project concepts, study/questionnaire designs, study methodologies, data collection strategies, data analyses and interpretations as well as write-ups, it was realized that mentorship through sharing of experiences and expertise is the only sure way to unlock students’ research potential, improve their research skills and accelerate the pace of post-graduate studies. The discussions are accessible to all online participants, facilitators, supervisors and lecturers as they are free to comment and assist.
The role of the Coordinator in charge of Research, Monitoring and Evaluation (RM&E) at eCampus is to coordinate all monitoring and evaluation activities including the graduate students on the eLearning platform. It is hoped that students shall be able to access supervisors, research information and resources needed for post-graduate studies. Through this platform, the eCampus endeavor to offer real time monitoring and support to individualized challenges in the research phase of learning. This is an example of an open but innovative way of offering online monitoring and mentorship not only to students but also to the supervisors both in knowledge and use of online technological tools in research.
In order to make the institutional transition from possible, organizations and institutions interested in adopting blended learning models must have a clear vision and a strong support from the various stakeholders involved in the change process [31, 32, 33]. The eCampus identified three such change agents. The first is that adoption of the blended learning model must be part of the educational institution’s strategy. The second factor is related to the organizational support, understood as facilitating conditions. Facilitating conditions in this case was the degree to which individuals believed that sufficient resources existed to support learning in a blended setting. Facilitating conditions have been conceptualized in terms of training and provision of organizational support. The third factor was the organizational capabilities to effectively execute and deliver a blended learning program. Here organizational capabilities are understood as the organization’s ability to manage all the people involved in a learning process to gain advantage [34, 35, 36]. This means that low-budget institutions should focus first on helping instructors shift to student-centered styles of pedagogies before making large investments in IT infrastructure.
When we consider the culture of the HEI as a set of instructional values, traditions, and beliefs ingrained in the fabric of the educational community, the idea of cultural change offers both promise and pause for HEIs looking to implement a blended learning program. Cultural change does not happen overnight, and can create significant growing pains for those with longstanding ideas about educational practices. Proper implementation of this shift depends on a leadership team that sets clear goals and acts in support of those goals [1] and, in turn, ensures that teachers are prepared to successfully adopt new technologies and pedagogies [37, 38].
eCampus identifies with researchers who maintain that Innovation in education can be particularly challenging because change has the potential to affect student achievement [39]. Creating a culture of innovation also requires structure and process, capacity, resources, policy environments, and learning agendas [40].
Structure and process includes the formal systems in the institution, some of which may need to be altered during the transition to blended learning. It also includes the habits of stakeholders and how those habits are reinforced. Building a blended learning culture may require educators and students to build new habits.
Capacity, in terms of culture, is less about physical capacity and more about mindset and the ability to carry forward the blended plan. An institution that has capacity will exhibit a growth mindset and show diligence and patience in pursuit of blended learning.
Resources include the obvious financial considerations, but also include time and team resources. Successful institutions pay particular attention to balancing time and human considerations to keep the culture on track.
Policy environments include both the written and unwritten institutional policies that enable or prevent the changes needed to support blended learning. Maseno University as an institution had to look for ways to make blended learning easy and attractive to implement.
Learning agendas should include an emphasis on measuring progress and managing the change process. Progress should be measured against the SMART goals created by the institutional leadership team and by student achievement data.
Blended learning is a formal education program in which a student learns at least in part through online delivery of content and instruction with some element of student control over time, place, path, and/or pace. The methodology behind blended learning is to combine classroom learning with mobile learning and online learning. Maseno University already has a robust and very interactive learning management system running on Moodle (Modular Object-Oriented Dynamic Learning Environment). However, the institution had not been able to adopt online for its regular face to face students because of tradition. In the advent of the COVID-19 pandemic, the institution had to find a strategy that fitted closely with its already existing resources, facilities and a ready workforce. It was out of this analysis that the institution settled on a model that had originally suggested by Bhaskar [41] It compares well with other models [42, 43, 44, 45]. This model fits the practice at the university as it already has a digitally literate workforce; an operational and robust learning management system; already trained pool of lecturers able to develop and facilitate online courses and able to act as mentors to the rest; organizational objectives supportive of blended learning; a student pool that already has common IT skills because all their courses is taught with IT; and it has an existing library of printed instructional materials already in use in the traditional classroom. Tech teams have identified seven main modes of practicing blended learning: Lab rotation, station rotation, individual rotation, flipped classroom, a la carte, and enriched virtual. However, the model [41] below converges around 6 main modes which are all practiced at the Maseno University eCampus. These modes are: Face-to-face Driver – the teacher guides learning with technology as a supplementary resource; Rotation – the learner has a fixed schedule rotating between face to face and online schedules; Flex - the model where most of the learning is done online and the face-to-face model exists to provide on-site support; Online Lab - a model of blended learning that characterizes programs that rely on an online platform to deliver the entire course while teachers interact with students through pre-recorded videos, audio and video conferences or discussion forums and email; Self-Blend - a fully individualized approach that allows students to choose to take one or more courses online to supplement their traditional school curriculum; and Online Driver- involves online platform as well as teachers to deliver the curricula and students work from remote locations most of the time but come to school for required face-to-face classes (Figure 4) [41].
Model of blended learning [
The practice in MU was a blend of these six models from one extreme end to the other. For example, some lecturers had face to face classes but occasional sent work or instructions to students through short messaging services (SMS) or WhatsApp. Others had all the content on LMS and students only consulted where there was a need. Yet still a big majority gave all instructions fully in F2F classes only. It is these extremes that forced the university to come up with the blended approach as the university strategy for instructions.
MU already had a robust and very interactive learning management system running on Moodle platform. Moodle is free and open-source LMS which easily integrates to other systems like the University Management Information System (MIS) for seamless flow of information from the classroom to management. The current MU learning management system also allows for notes and assignment uploads by both lecturers and students. Besides content, the LMS has a web-conferencing facility that allows lecturers to capture what they are teaching to be uploaded online for students. This web-conferencing facility has also assisted with defense for post-graduate student, especially those that cannot attend the F2F defenses either because of geographical location or a tight work schedule or any other genuine reason.
MU had trained some of its lecturers in online content development and delivery. Specifically, the lecturers from the following schools had already been trained on several occasions and were able to develop online content and facilitate online teaching.
School of Art and Social Sciences – Mainly lecturers from the Department of Socially and Anthropology
School of Business and Economics – Almost all lecturers
School of Computing and Informatics – Almost all lecturers
School of Education – Only one quarter of the lecturers from the School have received some meaningful training
School of Mathematics Statistics and Actuarial Science – Three quarters of the lecturer
Planning and Architecture – Almost all lecturers
School of Public Health and Development – Only lecturers from Department of Public Health lecturers
The other 4 schools within the university had not been trained and had no capacity as at now to develop or teach on the online platform. It was therefore important to have capacity building of lecturers to be able to turn their face-to-face content into e-content. Currently, the University had a total of 102 courses each having at least 5 modules, making e-content development a capital investment that would require proper planning to finance.
For students and staff to have meaningful engagement in the online platform, a number of materials and equipment needed to be made available. These include:
Computers or other hand held devices
Internet bundles
Online library resources
It can be estimated that almost 80 percent of Maseno University students do not own basic computers. A big percentage of staff on the other hand had their personal Computers that they use in and out of the campus. It is important to note however that that there were still staff who did not own any personal computers. Therefore the university management made a big investment in computer resources within the computer labs for students where they get practical experience for the Information Technology courses it offers to all undergraduate students. But with the rise in undergraduate student numbers, the resources are still not enough. This means that in the current situation brought about by COVID-19 pandemic, it would be very difficult to engage student in online learning as most of them have been relying on University computer labs to get access. Staff offices are also fitted with computers that have internet access and this allows them to share the computers for work purposes. However, the University came up with a policy on “Bring your own device (BYOD)”, so that students would be in a position to own at least some basic computer for classroom use. Such a policy was easier to implement for new students by including it in their calling letters. For continuing students, it required a lot of sensitization to get them to acquire computers and also implementation of the online examinations mandated every student to have a laptop with internet and a webcam. The examinations therefore became catalysts for the BYOD policy and accelerated its implementation.
Maseno University students have always relied on the university Wi-Fi for their online engagement in academic work. Online learning requires dependable and constant internet for learning to succeed. The University through Kenya Education Network (KENET) engaged the local telecommunication companies through a government to private sector partnership programme on affordable internet provision to students. They offered the students an education bundle of 10GB at approximately 5 USD with unlimited access for one month. This allowed students to study from wherever they were and in future likely to ease the bandwidth demands within the University.
The offer from the telecommunication companies was very helpful for students who were at a place that had network connection. Even though most parts of Kenya are covered by these companies, it must be noted however that there are several regions in Kenya that still lack connectivity (National internet penetration stands at 43%, [46]). This makes it difficult to engage students equitably without bias on the online platform while they are at home because of diversity in locations and internet environment. The arrangement with private telecommunication providers has proved useful for students in the light of blended learning implementation as an institutional policy in future.
Within the university Learning Management System, Maseno University has an e-library with an e-librarian deployed to assist students with access to virtual library resources. Access to e-resources is through the Maseno University website and online public access catalog (OPAC). The only missing link was for the e-library to install an EZ-proxy to allow students to access all electronic resources the University subscribes to from the comfort of their homes. Due to improved practice in blended learning at the university, the librarian developed innovative ways to make immense contribution in the knowledge era by supporting knowledge gathering, creation and dissemination using new technology-based tools. With these new developments, it is still instructive to note that most of the traditional professional knowledge that defines librarianship will remain essential; the profession will also need a new set of skills to adapt to the evolving environment of higher education [47]. He goes on to assert that responsive and scalable organization needed today and even more in the future will rely on a culture that embraces user awareness and engagement. It is also important to note that user populations will continue to evolve and libraries need robust user assessment programs that can scale what they learn about changing populations to revise and extend services with limited growth in resources. They also need to develop learning cultures that harvest trends, skills and local institutional dynamics delivering service and value to users and institutional decision makers. Scaling what they learn and what they do will better position the libraries for tomorrow’s educational environment.
Blended learning at Maseno University drew a lot of its lessons on online assessment from its common courses that were already available on the online platform. These courses already attracted large student populations of up to six thousand students in one single offer. They included HIV/AIDS Course, Communication Skills, Common IT courses for School of Medicine and Nursing, and Common mathematics courses. For these courses to run successfully, all Continuous assessment Tests (CATs) were done on the online platform that allows for computer-based assessment. The Moodle platform used in the LMS was customized for computer-based assessment and an in-built grade book allows the students to view their results immediately. In the current situation where the University closed before summative assessment was undertaken, it became an urgent need to explore and identify software that could be used to offer the examinations online for students. This also meant that the policy examinations had to be reviewed to embed the online examination component in the existing policy. This is because the examination policy had no provision for online examinations. With the reviewed policy, the University embarked on extensive planning for its first ever summative examinations covering all undergraduate students. This required the upgrade of the existing LMS from a concurrency of 1000 to 3000 and in a mode that was compatible with the safe exams browser; purchase of other software for examination like the script conversion software from word to Moodle compatible XML file. The team then embarked on a search for an online proctoring examination system existing currently in the market and yet affordable for use with the large number of students at the university. The experience and challenges experienced in these first online exams is presented in Figure 5 [48].
Distribution of student queries from the helpdesk [
All Maseno University courses presented to Commission for University Education (Kenya) for approval to ensure they meet the requisite internal and external quality assurance mechanisms and standards. All the courses are approved for three different modes of offer: Face to Face offer, Blended Learning offer, and Online learning offer. This allows the university to be ready for any of these modes of offer by using the same content, but variation brought about by the classroom activity used.
Furthermore, the eCampus has developed a series of tools that are used internally to measure and monitor quality both at the point of development and offer. Samples of these tools are appended below (Figures 6 and 7) [49].
Internal Maseno university eCampus QA tools for content development [
eCampus Online Content Review Tools [
In considering effectiveness, researchers contend that BL coalesces around access, success, and students’ perception of their learning environments. Success and withdrawal rates for F2F and online courses are compared to those for BL as they interact [50] and outcomes show that BL students are more successful than either face to face or fully online learners. Blended learning is an innovative concept that embraces the advantages of both traditional teaching in the classroom and ICT supported learning including both offline learning and online learning. It has scope for collaborative learning; constructive learning and computer assisted learning (CAI). Blended learning needs rigorous efforts, right attitude, handsome budget and highly motivated teachers and students for its successful implementation because it incorporates diverse modes so it is complex and organizing it is a difficult task. The cost-effectiveness therefore of a BL technology is based on learner perception of the specific technology. According to the UNESCO Handbook [51] on flexible learning, affordable technologies largely available for institutions in Africa are categorized as in Figure 8 [52] that follows.
Affordable technologies [
The type of technologies for BL are based on six dimensions resources serve in a BL environment, namely infrastructure, learning tools, learning resources, teaching and learning methods, services for teachers and students, and cooperation between enterprise, government, and schools/institutions. These technologies were costed and presented to the university in terms of priority and summarized in the Table 2 [53] that follows.
One Time Cost | Periodic Cost | Recurring Costs |
---|---|---|
|
|
|
Priority on Technology for Blended Learning adapted from blended learning toolkit [53].
The main infrastructure at the eCampus for BL is the learning management system which runs on Moodle and supported by the Moodle community through continuous development and improvement. There are about 20 different types of activities available to Moodle users (forums, glossaries, wikis, assignments, quizzes, polls, scorm players, databases etc) and each can be customized to suit the user organization. This activity-based model permits combining of activities into sequences and groups, which can help a teacher guide participant through learning paths [54]. This LMS has been customized in such a way that it supports all the operations of the university listed above including student communities, administrative centres and teacher support areas. This becomes clear when we examine a representation of the eCampus at a glance presented as a Figure 9 [55] below.
Maseno university eCampus at a glance [
The use of technologies to enhance teaching and learning and help instructors and departments to process administrative work in Maseno University is flexible. A variety of simple web 4.0 tools are used to help learners generate content and interact with peers, such as blogs, wikis, and social networks [56]. Additionally, several technology-based communication mediums, such as emails, WhatsApp and instant messaging applications are used. This makes the instructors and administrative staffs’ work much more convenient.Originally online learning in Maseno was limited to a few digital tools such as multimedia courseware, learning objects and on-line forum discussions, it has since expanded to include video conferencing in addition to audio and video streaming.
The university set up a committee to assess the prevailing gaps in its provision of resources for blended learning and the following were duly identified.
Additional technical staff for required at the eCampus included a Coordinator for Research Monitoring and Evaluation to be responsible for quality assurance and standards, Copywrite Editor, Multi-Media resource Specialist, Web programmer, Graphic Designer, Data base administrator, and a Systems Specialist.
The transition in MU from F2F to ODTL became a learning laboratory for the university in various aspects of online and blended learning. The lessons learned can broadly be categorized into the following six areas: Attitude of Lecturers and Students; Online Assessment; Technologies; The Digital Divide; Change management; Capacity Building Best practice.
The forced shift from F2F to online and blended learning exposed the fact that a majority of lecturers and students had a strong negative attitude towards online learning activities. This came out mainly through the various social media platforms used by lecturers and students. The best lesson however was that with continued use, the attitude continued to improve. Secondly, the prevalent attitude made the university go back to the drawing board of having to deal with the negative attitude to improve future engagement as supported by other researchers [57, 58, 59].
The online assessment undertaken at MU during this period realized that the proportion of students who were eligible to do exams was 70.4%, meaning that 29.6% of the entire student population had not paid fees and/or registered in MIS hence were ineligible to take the examinations. It was further realized that only 32.4% of the total student population potentially qualified to progress to the next academic level. Nationally, this was the best performing university in online examinations both numerically and qualitatively, which was a good report for the university. But considering the low output from students, pertinent issues were raised on online assessment and by extension online learning. The barriers to assessment were more technological in nature as opposed to pedagogical. Most students had laptops that could not support the proctoring software; a large population had no laptops, network connectivity, and network coverage in their localities. A few students however cited lack of lecturer support during the online examinations as well as challenges with the proctoring software. These challenges became learning points in preparing students for the subsequent examinations. The best outcome from this experience though was the fact that the university integrated online examinations in its examination policy which opened the door for online examinations as a practice in the university. It further exposed the technical staff at the eCampus to a variety of proctoring soft-wares which allowed the team to identify a cost-effective proctoring system.
One of the key benefits from the shift to online and blended learning in MU is the new technological investments the university management had to make in new learning technologies which will make immense contribution to improvement of the quality and equity towards course content and facilitation of online learning [60]. Continued use of these technologies (Zoom, BigBlueButton, LMS, examination proctoring system, video creation software etc.) is naturally killing technophobia and ushering the university into a new dawn.
The shift exposed the deep digital divide among government sponsored students in public universities. This was possibly the greatest hindrance to students realizing the full potential of e-learning, yet lecturers still expected students to submit assessment tasks and engage with course activities on the LMS. This confirms the sentiment that due to high level of digital divide between Africa countries and other nations of the world the global information society benefits are but mirage to the larger Africa society vis-à-vis higher educational institutions (HEIs) in Africa [61]. This digital divide among government sponsored students at MU is caused by social exclusion, digital exclusion and access factors [62, 63, 64] which has further led to digital exclusion. The digital exclusion was even direr among learners with special needs in MU as was the case for this learners in other institutions [65]. But hope is not lost as this exposure has led to Higher Education Loans Board in Kenya creating a fund for provision of laptops for government sponsored students in public universities in Kenya.
Implementing online education, the MU team discovered that it requires a comprehensive strategic approach to change management [66, 67]. The MU experience further exposed the fact that student attitudinal issues were as a result of challenges with access to technological tools needed. On the other hand, the lecturer attitudinal issues were mainly as a means of resisting change [68]. It is from this experience that the MU team learned that the most suitable way for change management in eLearning environment is capacity building and the negotiatory process of persuading the lecturers with a view to enhancing their digital literacy and thus gradually changing their attitude in a positive direction.
Through the concluded experiences the following principles were realized through capacity building sessions: High relevance between online instructional design and student learning; Effective delivery of online instructional information impacts online learning; Adequate support provided by faculty and learner support assistants to students improves learning; High-quality and participatory and activity oriented content improves the breadth and depth of student’s learning [69].
This chapter gives a detailed account on the need for Maseno University to adapt a flexible and blended learning approach which was as a result of the disruption caused by COVID-19. It gives details of the planning, the training and resource mobilization that was undertaken to make the move to blended learning possible. Throughout, the chapter refers to mentorship, training and studies of best practice that assisted in the transition from F2F to ODTL. It is hoped that other low budget universities can learn from this experience and have the courage to use low-cost technologies available in the market to give its students quality learning and collaborative experiences HEI students benefit from in blended learning.
The definition of biomass may vary due to a number of factors such as the heterogeneity of biomass, its application and origin [1]. However, any organic material directly or indirectly derived from the process of photosynthesis is considered biomass. Generally, biomass is a biological material that is present in various forms such as
It is evident from the above that the application of biomass as a source of energy continues to attract global attention even in the midst of its gross underutilization. The low quality of biomass, often defined in terms of its inherent characteristics (high moisture content, low energy density, low bulk density, irregular size and shape) has been one of the major reasons for its under exploitation [7]. In other words, biomass in its natural form is difficult to use for the purpose of energy production hence pretreatment is often required to overcome its recalcitrant nature and make the biomass amenable for conversion through either of the conversion routes previously mentioned for maximum product recovery; the pretreatment leads to physical, chemical and structural changes to the biomass plays a vital role in the commercial viability of the energy production process of biomass [7, 8, 9]. Thus, bioconversion and bio refinery interests define the type of pretreatment measures for biomass [7, 10]. However, there are different categories of pretreatment viz; physical, chemical and biological pretreatments. These three classes of pretreatment are described in greater detail in Section 3.
Another critical step to the optimization of biomass conversion and bio refinery processes is related to the characterization of biomass to determine its suitability for the aforementioned conversion processes. This means that the effectiveness and impact of pretreatment on biomass can be determined through the use of a variety of high-quality analytical techniques able to provide information on quintessential biomass characteristics that can be used to maximize product recovery. Depending on the end application of biomass, some of the useful characterization techniques include
The composition of biomass is largely diverse and dependent upon its origin and species. Besides plant biomass, which are commonly referred to as lignocellulosic biomass (LCB) due to their three major cross-linked polysaccharide constituents (cellulose, hemicellulose and lignin), there are other biomass materials whose primary components include
While the structural unit of NLCB is such that various atoms are arranged in an orderly manner, LCB is characterized by complex internal structure with main components that equally displays structural multiplicities. Figure 1 shows the internal structure of lignocellulosic biomass and how its three primary components are distributed.
A structural representation of lignocellulosic biomass. Reproduced with permission from [
The internal structure of lignocellulosic biomass reveals a crystalline fibrous structure of cellulose, which forms the core of the complex structure of plant biomass. Positioned between the micro- and macrofibrils of the cellulose matrix is hemicellulose; while lignin plays a structural role that encapsulates both cellulose and hemicellulose.
The composition of biomass varies significantly depending on the source of the biomass. In addition to the three primary components of LCB (Figure 1), there are other minor components such as
Type of lignocellulosic biomass | Cellulose (%) | Hemicellulose (%) | Lignin (%) |
---|---|---|---|
Hardwood | 40–55 | 24–40 | 18–25 |
Softwood | 45–50 | 25–35 | 25–35 |
Grasses | 25–40 | 35–50 | 10–30 |
Leaves | 15–20 | 80–85 | – |
Sugarcane bagasse | 40–45 | 30–35 | 20–30 |
Wheat straw | 33–40 | 20–25 | 15–20 |
Sweet sorghum bagasse | 45 | 27 | 21 |
The composition of NLCB, on the other hand, vary from material to material and contains more multifarious elements (such as those previously mentioned) that are embedded in its structural unit; in contrast to LCB, the different compositions of NLCB leads to different thermochemical conversion behaviors when these materials (NLCB) are used as feedstock in the mentioned bioenergy conversion routes [21].
Pretreatment is a necessary process step for both biochemical and thermochemical conversion of biomass and involves structural alteration aimed at overcoming the recalcitrant nature of biomass. It is required to improve biomass characteristics in order to enhance the energy utilization efficiency of the biomass [7, 22]. In pretreatment processes requiring heat, the degradation ability of LCB is controlled by its polymeric and aromatic constituents (cellulose, hemicellulose and lignin), while the heteroatoms and inorganic elemental components of NLCB act as catalysts to facilitate decomposition, leading to the formation of a product with a carbon framework and structural changes that increases the performance of the pretreated material in bioconversion processes [23, 24, 25]. The most important barriers facing current pretreatment technologies are high costs and how to obtain a pretreated product with minimal degradation of vital components. These issues are yet to be convincingly tackled by past and present research and development hence extensive studies aimed at the development of technologies that will further exploit the physical, chemical and biological pretreatment approaches are required. The pretreatment methods must be specifically tailored toward biomass origin and its application in bioconversion and bio refinery processes. Figure 2 shows a schematic layout of the classes and types of pretreatment processes required for the two main conversion routes (biochemical and thermochemical) for biomass.
A layout showing different pretreatment methods for biomass and their corresponding energy conversion routes.
The following subsections present a further description of the main classes of pretreatment.
Physical pretreatment of biomass is intended to reduce particle size by mechanical comminution in order to increase surface area and pore size. For LCB materials, physical pretreatment decreases cellulose crystallinity and degree of polymerization. It is a vital step prior to both the biochemical and thermochemical conversion of biomass [7, 26]. However, there is limited information about the mode of action of physical pretreatment processes, particularly with respect to how the chemical composition of biomass is modified or how its structure is affected. The application of biomass determines the type of physical pretreatment method to be applied. For instance, biochemical conversion of LCB will require size reduction through milling in order to improve enzymatic digestibility of lignocellulosic components. For thermochemical conversion applications of biomass, milling is required for densification, pelletization and even torrefaction prior to thermochemical conversion. In both conversion pathways (biochemical and thermochemical), prior size reduction is necessary in order to eliminate mass and heat transfer limitations. Chipping is also another physical pretreatment technique commonly employed when the biomass is to be used as feedstock in thermochemical conversion processes. This is because most thermochemical conversion systems are size specific hence require feedstock size in the range 50 mm by 50 mm in diameter [7].
As previously stated, densification, pelletization and torrefaction are all considered physical pretreatment methods for biomass intended as feedstock for thermochemical conversion processes [7]. These pretreatment techniques use heat to initiate changes that leads to improved biomass characteristics. A major drawback of the physical pretreatment technique however is its lack of ability to get rid of the lignin content of LCB materials, which renders the cellulose content of the material inaccessible. Other shortcomings include high energy consumption and the prohibitive cost of scale-up for commercial purposes. Studies [26, 27] have shown that the process of lignin removal from LCB materials could be one of the major reasons for the high energy demand of physical pretreatment techniques hence the overall energy efficiency of a bio refinery process may be ultimately affected by this pretreatment method [26].
Chemical pretreatment of biomass involves the use of organic or inorganic compounds to bring about disruption of biomass structure through interaction with intra- and inter polymer bonds of primary organic components. Biomass, particularly LCB materials are resistant to chemical breakdown hence biomass is regarded as being recalcitrant in nature. A host of factors are responsible for the recalcitrance nature of biomass including the structural complexity and heterogeneity of biomass, the crystalline nature of its cellulose content, and the extent of lignification [7, 28]. Throughout the chemical pretreatment process, the structural recalcitrance of LCB is disrupted, resulting in the reduction of cellulose crystallinity and depolymerization as well as the degradation of cellulose and the breakdown of lignin [29, 30]. For biochemical conversion of biomass, particularly LCB, chemical pretreatment is commonly undertaken in order to isolate the respective bio-polymeric constituents of the material. Figure 3 shows the effect of chemical pretreatment on LCB.
A schematic representation of the impact of pretreatment on the surface and internal structure of lignocellulosic biomass. Adapted from [
Examples of compounds that have been used for the chemical pretreatment of biomass and which had significant effect on its structure include acids, alkali, organic solvents, and ionic liquids [32, 33].
Biological pretreatment of biomass is mostly linked to the action of enzyme-producing fungi that are able to degrade, depolymerize and cleave the cellulose, hemicellulose and the lignin contents of biomass. This pretreatment method has several advantages over other pretreatment methods including its limited or no generation of toxic substances, high yield of needed products, low energy requirements and specificity of substrate and process reaction [34, 35]. However, its major disadvantages include the fact that the process is too slow and needs careful control of conditions of fungi growth as well as the large space required to carry out the process [36]. According to Agbor et al., 2011 [37], the residence time required for biological pretreatment processes is in the range 10 and 14 days. In addition, the organic components of biomass are consumed by the microorganisms’ hence biological pretreatment processes faces techno-economic challenges and are considered commercially less attractive when compared to other pretreatment methods [38, 39, 40]. The types of fungi commonly used in biological pretreatment of biomass include
In spite of the fact that many pretreatment methods have been investigated, while others are still in their developmental stages, it is quite onerous to assess and compare pretreatment technologies. This is because most pretreatment technologies involve upstream and downstream costs associated with processing, capital investment as well as complicated chemical recycling and waste treatment systems [42].
Table 2 presents a summary of the advantages and disadvantages of the different classes of biomass pretreatment.
Pretreatment methods | Advantages | Disadvantages | Reference |
---|---|---|---|
Physical pretreatment |
|
| [8, 25, 43, 44] |
Chemical pretreatment |
|
| [45, 46, 47] |
Biological pretreatment |
|
| [36, 37, 48] |
A summary of the advantages and disadvantages of the classes of pretreatment.
Heterogeneity remains an inherent characteristic of biomass. The feasibility and viability of products recovery from biomass depends upon its properties. The two main conversion pathways earlier mentioned are basically used to recover products of value from biomass. The choice of the conversion route also depends on the features of biomass hence characterization is essential to better understand quintessential physicochemical properties of biomass that will determine how suitable the material is for conversion; these properties are keys to the efficient utilization of biomass in bioconversion processes [1, 7]. However, the characteristics of biomass are largely swayed by its primary organic components (cellulose, hemicellulose and lignin), which vary depending on biomass source, species, climatic conditions, etc. Depending on the end use of biomass, characterization of biomass is commonly determined and reported in terms of proximate and ultimate analysis using a variety of analytical tools some of which are described in subsequent sections of this review. This provides vital information for evaluating various application potential of biomass, particularly its energy production potential, which also takes into account heating value when the biomass is used as feedstock in thermochemical conversion processes such as gasification [25]. Table 3 presents the most important characteristics of various lignocellulosic and non-lignocellulosic biomass materials.
Type of biomass | Proximate analysis (wt.%) | Ultimate analysis (wt.%) | |||||||
---|---|---|---|---|---|---|---|---|---|
MC | VM | FC | A | C | H | O | S | N | |
Wood & woody biomass | 5–63 | 30–80 | 6–26 | 1–8 | 49–57 | 5–10 | 32–45 | <1–1 | <1–1 |
Herbaceous biomass | 4–48 | 41–77 | 9–35 | 1–19 | 42–58 | 3–9 | 34–49 | <1–1 | <1–3 |
Animal & human waste biomass | 3–9 | 43–62 | 12–13 | 23–34 | 57–61 | 7–8 | 21–25 | 1–2 | 6–12 |
Aquatic biomass | 8–14 | 42–53 | 22–33 | 11–38 | 27–43 | 4–6 | 34–46 | 1–3 | 1–3 |
The properties of various lignocellulosic and non-lignocellulosic biomass materials [49].
Abbreviations: Moisture content (MC), Volatile matter (VM), Fixed carbon (FC), Ash (A), Carbon (C), Hydrogen (H), Oxygen (O), Sulfur (S), Nitrogen (N).
The proximate analysis estimates the physical properties of biomass with direct influence on the combustion performance of biomass, while ultimate analysis provides a qualitative and quantitative estimation of chemical properties in terms of the weight fractions of elemental components (such as C, H and O) and determines the heating value of biomass, a vital property of biomass materials intended as feedstock for thermochemical conversion processes; the amounts of other elements such as N, S and Si can help determine the environmental impact of using biomass as a fuel [25, 50, 51]. The proximate and ultimate analyses are discussed further in the following section.
As earlier alluded, the determination of biomass characteristics often requires the use of a wide variety of state-of-the-art analytical techniques able to provide not just compositional information, but also pretreatment process validation. However, the type of analytical technique to be used is defined by the application choice of the biomass so that analyses results are interpreted in relation to the specific application. A few of the analytical techniques commonly used in characterization studies involving biomass materials are discussed in the following subsections.
The Fourier transform infra-red spectroscopic (FTIR) is a sensitive technique for the qualitative and quantitative analysis of organic materials such as biomass. It identifies chemical bonds by generating a range of infrared (IR) retention in the form of spectra that represents sample profile. This analytical tool is particularly useful for tracing and tracking changes in biomass molecular structure caused by pretreatment and can distinguish between functional groups [51]. It is a useful technique for the characterization of biomass materials intended for a whole range of applications including biochemical and thermochemical conversion applications. For example, the FTIR can be used to investigate the possibilities of the removal of hemicellulose and lignin from a chemically pretreated biomass in a pulping process. It can also be used to understand the most reactive components of biomass materials and how these components affect the thermochemical conversion process of biomass.
The FTIR technique relies on the fact that most organic materials absorb light within the IR region of the electromagnetic spectrum. The frequency of absorption of light is measured in wave numbers that is typically in the range 4000–600 cm−1.
To the best of the author’s knowledge, the X-ray diffraction (XRD) is the only analytical instrument able to reveal comprehensive structural information of materials. Structural information that can be obtained includes
where CrI is the crystallinity index, while I002 represents the overall peak intensity and Iam the baseline intensity.
XRD is especially useful for the determination of the efficiency of hydrolysis for chemically pretreated biomass materials intended for the production of various chemical compounds such as sugar molecules and oligosaccharides, which are products of a fermentation process for the production of bioethanol.
For the analysis of biomass materials considered for the purpose of biofuels, biochar or chemicals production, the solid state nuclear magnetic resonance spectroscopy (SSNMR) is the ideal technique. This technique allows detailed structural elucidation of major constituents of biomass, particularly lignocellulosic biomass such as wood. It complements the XRD technique since the degree of cellulose crystallinity can also be determined. Nonetheless, the XRD is based on the proposition that X-ray scattering can be divided into two structural components that are amorphous and crystalline [54], while SSNMR is characterized by orientation-dependent interactions that are observed in a very broad spectrum that provides detailed information on material chemistry, structure and dynamics in the solid state. The production of biofuels and chemicals from lignocellulosic biomass require an unfettered access to cellulose and hemicellulose, thus SSNMR can be used to comprehend bioconversion of biomass as a function of process conditions [55].
The chemical barriers resulting from lignin renders the hydrolysis process of biomass into fermentable sugars quite complicated. Therefore, advances in spectroscopic techniques, especially spectroscopic methods, have enabled researchers to elucidate the structural characteristics of biomass in relation to specific applications.
When there is a need to investigate the combustion behavior of biomass materials, the thermo-gravimetric analysis (TGA) is particularly useful and valuable for determining thermal parameters relevant to the thermochemical conversion of biomass. Proximate analysis data can be obtained from TGA. In this technique, the sample is combusted at desired heating rates in a chemically inactive atmosphere of nitrogen or argon such that the mass of the sample is monitored as temperature increases. The change in mass of the sample is usually plotted as a function of time or temperature. The TGA is a high temperature analytical instrument that adequately mimics the conditions existing in a typical thermal energy production system [56]. For studies involving the need to determine the kinetics of thermal decomposition of biomass, TGA is equally very helpful as it provides qualitative information that can be used to understand process conditions and design parameters of thermochemical conversion systems [57]. This requires that TGA be conducted at different heating rates and its derivative (DTG) used to simplify the reading of the characteristic peaks obtained from the thermogram of change in mass versus temperature.
The differential scanning calorimetry (DSC) is a thermoanalytical tool used to directly assess the heat energy uptake that occurs in a sample within a controlled increase or decrease in temperature. The instrument monitors phase transitions that lead to heat flow between crucibles since the process involves the heating of two crucibles (one which contains the sample to be analyzed, and the other serving as a reference without a sample). In this analysis, heat flow is measured as a function of temperature so that combustion profiles that will help determine the series of stages that characterizes the thermal performance of a material can be evaluated. In some instances, the DSC can be used as a complementary analytical tool to the TGA, particularly when monitoring softening or glass transition temperature range [8]. The DSC is very valuable for the analysis of biomass materials intended as feedstock for thermochemical conversion processes and the data from DSC can help improve the understanding of the effect of activation energy on the rate of biomass conversion in the aforementioned thermal energy systems [58]. The reactivity of biomass materials can also be determined using DSC and the volatiles from the analysis can be identified using gas analyzers.
The CHNS analyzer is the carbon (C), hydrogen (H), nitrogen (N) and sulfur (S) analyzer used to measure the weight percentages of these elements in a given material. In CHNS analysis, the weight fraction of oxygen is usually determined by difference with respect to a generally accepted equation (Eq. (2)).
The CHNS analyzer is an elemental analyzer whose principle of operation is based on combustion that allows the quantitative determination of the above elements without the need for time consuming sample preparation steps or the use of toxic chemicals. Elemental composition is one of the most important features for biomass utilization [25, 59]. In addition to facilitating the determination of the environmental compatibility of using biomass as a fuel in thermal energy systems, CHNS analysis can be used to obtain information about calorific value and establish the combustion performance of biomass, if the weight proportions of primary elemental components such as C, H and O are known. One of the simplest ways to calculate the calorific value of biomass without the need for analytical tools is from an equation developed by Sheng and Azevedo, 2005 [60]:
where CV is the calorific value of biomass.
Calorific value is an important property of biomass for design calculations or numerical simulation of thermochemical conversion systems using biomass as feedstock [25, 60].
The Py-GC/MS is a technique used to identify non-volatile compounds. It involves high temperature heating of a sample to decomposition into smaller molecules that are separated by gas chromatography and identified by mass spectrometry. This technique is particularly suited for the analysis of biomass materials intended as feedstock in pyrolysis or hydrothermal liquefaction (HTL) processes for the production of charcoals and bio-oils as the mechanisms involved in these two thermochemical processes (pyrolysis and hydrothermal liquefaction) can be conveniently investigated. For example, pyrolysis of biomass is a relatively complex process that involves both simultaneous and successive chemical reactions which occurs when the biomass is heated in an unreactive environment. Due to the compositional and structural variability of biomass, major constituents degrade under non-identical mechanisms at different temperature ranges and at different rates. Therefore, to explore the complexity of this process, cutting-edge analytical tools such as the Py-GC/MS are required.
The scanning electron microscope (SEM) is a type of electron microscope that produces the image of a sample by scanning the surface of the sample with a focused beam of electrons that interact with the sample to produce a variety of signals used to obtain information about surface composition and topography. The macroscopic nature of biomass requires that some form of pretreatment, such as size reduction, be performed in order to reveal properties of interest for any microscopic and nanoscopic analyses. Thus, by employing imaging techniques such as the SEM, it is possible to study the physical and chemical underpinnings of the prodigy of biomass recalcitrance to breakdown. The SEM can be used to investigate the morphological properties of biomass relevant to the specific application of the biomass. The information obtained can then be used to hone biomass pretreatment methods that will enhance biomass susceptibility to biochemical or thermochemical conversion. It is however worthy to mention that the moisture content of biomass can be very problematic to some microscopic techniques (such as the SEM) since analyses using these techniques are usually performed on dry samples. As such, samples with reduced moisture content are often required before analysis to avoid the introduction of structural artifacts that may interfere with the SEM images of the sample.
The large-scale substitution of fossil fuel with biomass resources is a topical issue not just for the production of energy but also for the production of chemicals, bio products and materials. Moreover, due to the large availability of biomass throughout the world, the production of the high value-added products from biomass can be achieved under any geographical conditions and the feasibility and viability of the production of the value-added products depends on biomass characteristics and the pretreatment method employed. However, biomass complexity and the high capital and operation costs associated with biomass pretreatment as well as the mechanisms involved in the conversion process of biomass are some of the challenges associated with the use of biomass for the production of energy, chemicals and fuels. Therefore, efforts should be geared toward the design of more easy-to-use and cost effective technologies at all levels so as to encourage the widespread application of biomass and attract investment in this field. In addition, not much is known about the optimal biomass pretreatment conditions because they are seldom reported. Consequently, for the efficient and feasible utilization of biomass in bioconversion processes, information about the optimum conditions of pretreatment is vital and efforts made to report such information. It has been reported [61] that researchers and policy makers are in need of useful information that may lead to the much needed improvements in this field of research. So, efforts made to report optimal pretreatment conditions for biomass will create further awareness on the advantages of the exploitation of biomass resources for the production of renewable energy and other bio products.
On the other hand, characterization of biomass also faces significant challenges ranging from the nature of the biomass and the multiphase bioconversion processes using the biomass as feedstock as well as the lack of experimental validation of the cutting-edge analytical techniques used for biomass characterization. Efforts made to address these barriers through continued research will equally lead to optimization of bioconversion and bio refinery processes. Needless to say that, since a single analytical technique cannot provide all of the needed information simultaneously with optimal resolution and high sensitivity, complementary techniques are often required to achieve full understanding of the physical and chemical underpinnings of the prodigy of biomass recalcitrance as it undergoes bioconversion processing. This may ease the challenges associated with experimental validation. Nevertheless, it is vital to mention that each type of characterization technique has its own merits and demerits under a particular set of circumstances and that the shortcomings of one technique may be compensated for by the merits of the other.
Pretreatment and characterization of biomass are key steps for the efficient utilization of biomass materials in bioconversion processes. A determination of the best pretreatment method and parameters requires an evaluation of its effects on biomass using cutting-edge analytical tools able to provide information that will facilitate better understanding of the origins of biomass recalcitrance and the mechanism and impact of pretreatment relevant to the optimization of different bioconversion pathways.
The author would like to thank the Department of Engineering and Chemical Sciences of Karlstad University for providing a conducive environment and an opportunity to conduct this synopsis.
The authors declare no conflict of interest.
The first author deems it a great pleasure to place on record his sincere gratitude to his dear wife, Tuliwe-Ndudula Anukam, who stood by him and kept a peaceful home environment in the midst of numerous challenges.
biomass
Non lignocellulosic biomass
Fourier transform infra-red spectroscopic
infrared
X-ray diffraction
solid state nuclear magnetic resonance spectroscopy
thermo-gravimetric analysis
derivative thermogravimetry
differential scanning calorimetry
scanning electron microscope
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The performance of the algorithms has been evaluated, using threads and processes to handle the communication and data transmission of the flight simulator to the Stewart platform. The evaluation of the developed simulator has been validated with professional pilots drilled with the Microsoft Flight Simulator. The results demonstrated that this flight simulator stimulates the development of skills and abilities for the maneuver and control of an aircraft.",book:{id:"8588",slug:"military-engineering",title:"Military Engineering",fullTitle:"Military Engineering"},signatures:"César Villacís, Walter Fuertes, Luis Escobar, Fabián Romero and Santiago Chamorro",authors:null}],mostDownloadedChaptersLast30Days:[{id:"67881",title:"Military Aviation Principles",slug:"military-aviation-principles",totalDownloads:1318,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Military all over the world uses military aircraft in both offensive and defensive purposes. In offensive role, these aircraft are used in destroying enemy’s vital installations, air strips, ordnance depots and supplies. In defensive role, it provides close air support to land-based army and also deters the threats of enemy air strike. In naval warfare, military aircraft plays a significant role to detect and neutralize submarines and warships to keep the seacoast free from enemy attack. Military aircraft also provides logistic supply to forward bases, conducting airlift (cargo and troops), and participates in rescue operations during national disaster. Military aviation includes both transport and warcraft and consisting of fixed wing aircraft, rotary-wing aircraft (RWA) and unmanned aerial vehicle (UAV). From the early days of world war, it has been realized that air power supremacy is vital for winning a war as well as maintaining the sovereignty of any country. 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The analysis of these examples proved the theory of the chain arrival to Spain during the first half of the eighteenth century.",book:{id:"8588",slug:"military-engineering",title:"Military Engineering",fullTitle:"Military Engineering"},signatures:"Josep Lluis i Ginovart",authors:null},{id:"55688",title:"The Special Case of Sea Mines",slug:"the-special-case-of-sea-mines",totalDownloads:2194,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"In this chapter, work carried out at the Royal Military Academy regarding sea mines and mine countermeasures is summarized. Three sensors used for the detection and identification of sea mines are studied here: sonar, gradiometer and infrared camera. These sensors can be applied to detect different types of sea mines. Some signal and image processing techniques developed to extract relevant information for the detection of underwater objects are presented in this chapter. 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Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University, Kuwait. His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{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:null},{id:"318905",title:"Prof.",name:"Elvis",middleName:"Kwason",surname:"Tiburu",slug:"elvis-tiburu",fullName:"Elvis Tiburu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"336193",title:"Dr.",name:"Abdullah",middleName:null,surname:"Alamoudi",slug:"abdullah-alamoudi",fullName:"Abdullah Alamoudi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"318657",title:"MSc.",name:"Isabell",middleName:null,surname:"Steuding",slug:"isabell-steuding",fullName:"Isabell Steuding",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"318656",title:"BSc.",name:"Peter",middleName:null,surname:"Kußmann",slug:"peter-kussmann",fullName:"Peter Kußmann",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"338222",title:"Mrs.",name:"María José",middleName:null,surname:"Lucía Mudas",slug:"maria-jose-lucia-mudas",fullName:"María José Lucía Mudas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}},{id:"147824",title:"Mr.",name:"Pablo",middleName:null,surname:"Revuelta Sanz",slug:"pablo-revuelta-sanz",fullName:"Pablo Revuelta Sanz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}}]}},subseries:{item:{id:"39",type:"subseries",title:"Environmental Resilience and Management",keywords:"Anthropic effects, Overexploitation, Biodiversity loss, Degradation, Inadequate Management, SDGs adequate practices",scope:"\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
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His work is reflected in more than 230 communications presented in national and international conferences and congresses, 29 invited lectures from universities, associations and government agencies. Prof. Navarro-Pedreño is also a director of the Ph.D. Program Environment and Sustainability (2012-present) and a member of several societies among which are the Spanish Society of Soil Science, International Union of Soil Sciences, European Society for Soil Conservation, DessertNet and the Spanish Royal Society of Chemistry.",institutionString:"Miguel Hernández University of Elche, Spain",institution:null},editorTwo:null,editorThree:null,series:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713"},editorialBoard:[{id:"177015",title:"Prof.",name:"Elke Jurandy",middleName:null,surname:"Bran Nogueira Cardoso",slug:"elke-jurandy-bran-nogueira-cardoso",fullName:"Elke Jurandy Bran Nogueira Cardoso",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGxzQAG/Profile_Picture_2022-03-25T08:32:33.jpg",institutionString:"Universidade de São Paulo, 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