Bücher veröffentlicht von Mdpi AG

In recent years, fractional calculus has led to tremendous progress in various areas of science and mathematics. New definitions of fractional derivatives and integrals have been uncovered, extending their classical definitions in various ways. Moreover, rigorous analysis of the functional properties of these new definitions has been an active area of research in mathematical analysis. Systems considering differential equations with fractional-order operators have been investigated thoroughly from analytical and numerical points of view, and potential applications have been proposed for use in sciences and in technology. The purpose of this Special Issue is to serve as a specialized forum for the dissemination of recent progress in the theory of fractional calculus and its potential applications.

Transcranial magnetic stimulation (TMS) is being increasingly used in neuroscience and clinics. Modern advances include but are not limited to the combination of TMS with precise neuronavigation as well as the integration of TMS into a multimodal environment, e.g., by guiding the TMS application using complementary techniques such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), diffusion tensor imaging (DTI), or magnetoencephalography (MEG). Furthermore, the impact of stimulation can be identified and characterized by such multimodal approaches, helping to shed light on the basic neurophysiology and TMS effects in the human brain. Against this background, the aim of this Special Issue was to explore advancements in the field of TMS considering both investigations in healthy subjects as well as patients.

This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.

This book address important issues regarding the modelling and simulation tools and techniques that are applied in high-voltage engineering in modern power systems. The presented conceptual, constructive, empirical, experimental, and theoretical results are obtained in the area of high-voltage engineering. Special attention is given to protection methods against direct lightning strikes, partial discharge tests, discharges' influence on different structures, cable screening, and induced voltages, among others.

In recent years, microwave sensing and imaging have acquired an ever-growing importance in several applicative fields, such as non-destructive evaluations in industry and civil engineering, subsurface prospection, security, and biomedical imaging. Indeed, microwave techniques allow, in principle, for information to be obtained directly regarding the physical parameters of the inspected targets (dielectric properties, shape, etc.) by using safe electromagnetic radiations and cost-effective systems. Consequently, a great deal of research activity has recently been devoted to the development of efficient/reliable measurement systems, which are effective data processing algorithms that can be used to solve the underlying electromagnetic inverse scattering problem, and efficient forward solvers to model electromagnetic interactions. Within this framework, this Special Issue aims to provide some insights into recent microwave sensing and imaging systems and techniques.

Medicinal and aromatic plants (MAPs), as open-field crops, play an important role in multifunctional and sustainable agriculture as a result of their low energy requirements for cultivation and their many avenues of use, from the production of nutraceuticals, phytonutrients, and phytotherapy to land valorization. This Special Issue of Agriculture, "Medicinal and Aromatic Plants in Agricultural Research when Considering Multifunctionality and Sustainability Criteria", aims to illustrate the role of MAPs in agriculture in low-impact farming practices, and the benefits they can generate in terms of functional products. This Special Issue covers all research aspects related to MAPs, including a number of scientific macro-areas, such as agronomy, chemistry and pharmacy, ethnobotany and ethnopharmacology, food and nutrition, and ecology. Key topics in this Special Issue include, but are not limited to, the following:Sustainable agricultural practices of MAPs; Breeding and germplasm preservation of MAPs; The biodiversity of MAPs; The conservation of cultivated and wild MAPs; Ethnobotany and ethnopharmacology; Phytotherapy, phytochemistry, and phytopharmacology; Essential oils and secondary metabolites; Functional foods and MAPs; MAPs and degraded and marginal land recovery; The global marketing of MAPs; The legislation of MAPs.

With the increasing global usage of water and the continuous addition of contaminants to water sources, new challenges have arisen that are associated with the abatement of organic pollutants, particularly those that are refractory to conventional water and wastewater treatment technologies. Advanced oxidation processes (AOPs) present a competitive alternative to promote the oxidation of organic contaminants by strong oxidative radicals generated from oxygen, ozone, wet peroxide, and UV radiation. The use of catalysts not only improves efficiency but may present remarkable cost advantages for practical applications of AOPs in the abatement of several pollutants. In this Special Issue of Catalysts, we invite authors to submit original research papers focused on the synthesis and characterization of novel heterogeneous catalysts and their uses in advanced oxidation processes for the removal of organic pollutants from aqueous solutions.

Consumers are increasingly demanding more sources of plant-based nutrition, and the food industry is responding by developing novel foods with grain-based ingredients. These products include dairy, egg and meat alternatives. Notably, in order for the production of these foods to be viable, the sustainability of the supply chain must improve and the product price must be lowered. Therefore, upcycling of grains by-products has been considered. However, the functionality and acceptability of functional foods made with upcycled ingredients from legumes and grains must be tested to ensure consumer compliance. This Special Issue of Foods aims to present the latest research on the physicochemical and sensory evaluation of plant-based alternatives to dairy, eggs and meat made with grains. Product categories include beverages, fermented beverages, dressings, bakery items and plant-based meats. Ingredients considered include, but are not limited to, protein concentrates and isolates, fibres, starches and enzymes. Particular emphasis will be given to potential applications of upcycled ingredients such as legume water (Aquafaba, Liluva), by-products of the starch industry (protein, fibre) and protein isolation (starches). Physicochemical evaluation encompasses determination of the functionality of ingredients (foaming, emulsifying and thickening), texture analysis, rheology (viscosity, pasting properties), thermal properties (thermogravimetric analysis and differential scanning calorimetry), water mobility (nuclear magnetic resonance) and image analysis. Sensory evaluation includes both trained panels and consumer preference.

Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware.

Since first receiving approval in 1986, antibody-based therapeutics have been the most successful modality for the treatment of various diseases. This Special Issue of IJMS, "Recent Advances in Antibody Therapeutics", presents leading-edge articles and reviews for discovery, development, and clinical applications of therapeutic antibodies, covering antibody drug conjugates (ADCs), GPCR-targeting antibodies, a functional antibody screening, bioassay of bispecific antibodies, antibody applications for cardiovascular diseases, antibody delivery to CNS, etc. The excellent studies in this Special Issue would valuable insight for scientists and clinicians in the field of therapeutic antibodies

Galectins are a family of soluble beta-galactoside-binding proteins with diverse glycan-dependent and glycan-independent functions outside and inside the cell. There are sixteen recognized mammalian galectin genes, and their expression profiles are very different between cell types, tissues, and species. This Special Issue covers recent progress in the field of the cell biology of galectins, relevant concepts of galectin regulatory mechanisms, and biomedical aspects of these unique multifunctional proteins.

Beat Studies represent a vibrant field of intellectual inquiry, and this collection examines Beat culture as deeply infused with ecological themes. Allen Ginsberg invented the term "Flower Power" and Beat texts uncover the sources of our current existential climate predicament. This is the first edited collection to place the Beat Generation in conversation with the environment. A diverse number of contributors from Asia, Europe, and North America addresses essential environmental subjects and the deep ecological vision of the Beats.

This reprint of "Metal Nanoparticles as Catalysts for Green Applications" collects recent works of researchers on metal nanoparticles as catalysts for green applications. All works deal with designing chemical products and processes that generate and use less (or preferably no) hazardous substances by applying the principles of green chemistry. Despite the interdisciplinary nature of the different applications involved, ranging from pure chemistry to material science, from chemical engineering to physical chemistry, in this reprint there are common characteristics connecting the areas together, and they can be described by two words: sustainability and catalysis.

Particle accelerators and radiation based on radio-frequency (RF) cavities have significantly contributed to the advancement of science and technology in the most recent century. However, the rising costs and scales for building cutting-edge accelerators act as barriers to accessing these particle and radiation sources. Since the introduction of chirped pulse amplification technology in the 1990s, short-pulse, high-power lasers have enabled the realization of laser-driven accelerations and radiation sources. Laser-driven accelerators and radiation sources could be a viable alternative to providing compact and cost-effective particle and photon sources. An accelerating field in a plasma, driven by intense laser pulses, is typically several orders of magnitude greater than that of RF accelerators, while controlling the plasma media and intense laser pulses is highly demanding. Therefore, numerous efforts have been directed toward developing laser-driven high-quality particle beams and radiation sources with the goal of paving the way for these novel sources to be used in a variety of applications. This Special Issue covers the latest developments in laser-based ion and electron accelerators; laser-plasma radiation sources; advanced targetry and diagnostic systems for laser-driven particle accelerators; particle beam transport solutions for multidisciplinary applications; ionizing radiation dose map determination; and new approaches to laser-plasma nuclear fusion using high-intensity, short laser pulses.

This book was established after closing the Special Issue "Decline of Mediterranean Fruit Crops and Forests Associated with Fungal Trunk Pathogens" edited by Dr. Carlos Agustí-Brisach as Guest Editor and Mr. Everett Zhu as Manager Editor. This book represents a collection of papers related to the etiology, epidemiology, and control of fungal trunk diseases in several Mediterranean woody crops such as almond, citrus, grapevine or pistachio, among others. This volume was intended to generate knowledge on the etiology and epidemiology of tree decline syndromes to build a strong foundation for developing effective management approaches to reduce the yield losses caused by these diseases. In addition, a broad collection of techniques to conduct studies on etiology and epidemiology as well as to determine the effect of biotic and abiotic factors enhancing the progression of trunk diseases in woody crops are shown in this book.

Exploring quality of vision is one of the most important issues in modern ophthalmology, and research into ophthalmic optics and visual function is essential for making progress in this field. The present Special Issue aims to enlighten readers about the broad range of clinical research in the field of ophthalmic optics and visual function, mainly related to the anterior segment and myopia control. Submissions of original research articles were welcomed that highlight innovative findings with the potential to enhance the clinical capabilities of diagnosing and monitoring ophthalmic conditions and treatments especially of the anterior segment. Review articles of high interest were also considered for publication.

Electrical and electro-optical biosensing technologies are critical to the development of innovative POCT devices, which can be used by both professional and untrained personnel for the provision of necessary health information within a short time for medical decisions to be determined, being especially important in an era of global pandemics. This Special Issue includes a few pioneering works concerning biosensors utilizing electrochemical impedance, localized surface plasmon resonance, and the bioelectricity of sensing materials in which the amount of analyte is pertinent to the signal response. The presented results demonstrate the potential of these label-free biosensing approaches in the detection of disease-related small-molecule metabolites, proteins, and whole-cell entities.

This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.

Considering their constant evolution and transformation, in this Special Issue, several authors provide contributions bringing light to different aspects related to food supply chains, based on several conceptual frameworks, agri-food areas and contexts, as well as multiple levels of analysis. In this book, the promotion of win-win investments in Brazil's Agribusiness is discussed, as well as how family farmers can thrive in commodity markets in long agribusiness supply chains. The Logic of Collective Action for Rural Warehouse Condominiums, which is a new configuration in the agribusiness supply chain, is also addressed. In this book, the Brazilian Jabuticaba Supply Chain is analyzed through a multi-methodological approach. The role of logistics in food-waste reduction for wholesalers and small retailers of fruits and vegetables is also presented. The issue of transparency in global agribusiness in the Brazilian soybean supply chain is discussed based on companies' accountability. Finally, the transformation of the food supply chain through technology and future research directions are highlighted in this Special Issue. This book aims to assist students, researchers and practitioners interested in the evolution and transformations of food supply chains.

Additive manufacturing (AM) methods have grown and evolved rapidly in recent years. AM for polymers is particularly exciting and has great potential in transformative and translational research in many fields, such as biomedicine, aerospace, and even electronics. The current methods for polymer AM include material extrusion, material jetting, vat polymerization, and powder bed fusion. In this Special Issue, state-of-the-art reviews and current research results, which focus on the process-structure-properties relationships in polymer additive manufacturing, are reported. These include, but are not limited to, assessing the effect of process parameters, post-processing, and characterization techniques.

This Special Issue book contains selected papers from works presented at the 9th EASN (European Aeronautics Science Network) International Conference on Innovation in Aviation & Space, which was held in Athens, Greece from the 3rd until the 6th of September, 2019. About 450 participants contributed to a high-level scientific gathering, providing some of the latest research results on the topic, as well as some of the latest relevant technological advancements. Eight interesting articles, which cover a wide range of topics including characterization, analysis and design, as well as numerical simulation, are contained in this Special Issue.

This Special Issue (SI) on "Land Degradation Assessment with Earth Observation" comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps-some of which have been identified in this SI-and produce highly accurate and relevant land-degradation assessment and monitoring tools.

This book is a printed edition of the Special Issue "Multiple Roles for Landscape Ecology in Future Farming Systems" that was published in Land. This book aims to inspire landscape ecologists to explore theories and practical tools that can assist in the planning, design, modification, and development of new farming landscapes with the best environmental, economic, and social outcomes in mind. It is also hoped that it will contribute toward developing land systems and land management practices for specific landscapes that meet the goals of increased nutritious food production in the face of market and climatic variability whilst reducing environmental impacts and enhancing natural capital and assisting to drive and support the transformative changes in the socioeconomic and environmental systems of rural areas required for future food production.

This reprint contains contributions focusing on recent developments in the design, synthesis, and characterization of nanocatalysts intended for applications in environmental protection and low carbon footprint power generation processes thanks to the overall effort of scientists and researchers for a cleaner and more sustainable future. New synthetic approaches to the production and in-depth characterization of innovative nanostructured composites and hybrid materials with well-controlled textural and surface chemistry properties that give performance advantages in a variety of important environmental and energy applications such as CO2 utilization/recycling, hydrogen and syngas production, biosensing, and biocatalysis as well as in ways to obtain useful materials from waste are included, among others. This reprint is the result of one of the cutting-edge Special Issues in the field of Nanoscience and Nanotechnology organized by Nanomaterials to celebrate its 10th anniversary.

Northern forested landscapes are important habitats for many boreal birds. This Special Issue portrays the current state of knowledge on boreal bird diversity, ecology, management, and conservation. Humans have diverse impacts on boreal habitats worldwide, and knowledge of the avian community associated with these northern forests is key to conservation measures.

The book proposes extensive and varied design strategies for bone tissue engineering. The design process of materials for bone tissue scaffolds presently represents an issue of crucial importance and is being studied by many researchers throughout the world. A number of studies have been conducted, aimed at identifying the optimal material, geometry, and surface that the scaffold must possess to stimulate the formation of the largest amounts of bone in the shortest time possible.

The present collection of articles focuses on different aspects of topological-materials studies. Recent progress in both, theoretical and experimental, studies is covered in this Special Issue. A particular stress is given on different optical investigations, as well as on recent band-structure calculations. Besides, neutron scattering experiments, crystal growth, and a number of theoretical models for different topological systems are discussed.

One of the most promising developments in modelling knowledge is cognitive network science, which aims to investigate cognitive phenomena driven by the networked, associative organization of knowledge. For example, investigating the structure of semantic memory via semantic networks has illuminated how memory recall patterns influence phenomena such as creativity, memory search, learning, and more generally, knowledge acquisition, exploration, and exploitation. In parallel, neural network models for artificial intelligence (AI) are also becoming more widespread as inferential models for understanding which features drive language-related phenomena such as meaning reconstruction, stance detection, and emotional profiling. Whereas cognitive networks map explicitly which entities engage in associative relationships, neural networks perform an implicit mapping of correlations in cognitive data as weights, obtained after training over labelled data and whose interpretation is not immediately evident to the experimenter. This book aims to bring together quantitative, innovative research that focuses on modelling knowledge through cognitive and neural networks to gain insight into mechanisms driving cognitive processes related to knowledge structuring, exploration, and learning. The book comprises a variety of publication types, including reviews and theoretical papers, empirical research, computational modelling, and big data analysis. All papers here share a commonality: they demonstrate how the application of network science and AI can extend and broaden cognitive science in ways that traditional approaches cannot.

These proceedings represent the scientific outcome of the 13th EFITA International Conference held on May 2021, which was organized by the European Federation for Information Technology in Agriculture, Food, and the Environment (EFITA). EFITA, for more than 20 years, has presented and disseminated cutting-edge research on advances in ICT systems in agriculture. The content of these proceedings brings together the efforts of engineers, scientists, technicians, academics and the industry through the exchange of knowledge and ideas, the presentation of innovations, and by discussing the state of the art and future use of ICT in the agri-food and bio-resources production sectors, under the theme of "Digital Agriculture".