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This Reprint compiles recent review articles and original research at the forefront of horticultural plant genomics. The past two decades have witnessed transformative progress in the field, fueled by advancements in sequencing technologies and bioinformatics. Moving beyond reference genomes, the field now leverages integrated multi-omics approaches—including pan-genomics, transcriptomics, and non-coding RNA analysis—to decode the complexity of horticultural species. This collection highlights applications in fruit trees, vegetables, ornamental flowers, tea plants, and medicinal herbs, offering novel insights into gene function, regulatory networks, and evolutionary dynamics. By providing comprehensive genomic resources and a mechanistic understanding, the presented works support accelerated molecular breeding and trait improvement, addressing both fundamental questions and practical challenges in horticulture.

Aortic aneurysms and aortic dissections are potentially life-threatening conditions that require urgent attention. In recent years, a substantial amount of research has been conducted. Despite advances in diagnosis and treatment, there are significant treatment gaps that need to be addressed to save lives. One major gap is the early detection and diagnosis of aortic aneurysms, as they often present no symptoms until a catastrophic event occurs. Increased awareness and effective screening programs are crucial to identify at-risk individuals. With decreasing incidence in the Western world, cost–benefit analyses or more targeted screening methods are becoming increasingly important. Similarly, there is a need for timely recognition and diagnosis of aortic dissections, as symptoms can be easily mistaken for other conditions. Medical professionals must be equipped with the necessary knowledge and tools for prompt identification. Bridging these gaps requires optimizing treatment strategies, refining surgical approaches, and developing novel therapies. Comprehensive long-term management strategies are also essential for individuals who have survived aortic dissections. Standardized guidelines and protocols for post-dissection care, including regular imaging studies and medication management, are vital for optimal outcomes. From the genetic analysis of aortic patients, to innovative clinical case studies, and real-world long-term outcomes, this collection of articles deals with manifold aspects of aortic disease and therapy.

The non-ionizing nature of microwave radiation and low-cost microwave electronics offer innovative solutions for medical diagnoses, treatment, and health monitoring. Researchers of antennas, microwave electronics, computational electromagnetics, imaging, and signal processing are working collaboratively with medical practitioners, aiming at enhancing our lives through developing next-generation healthcare technologies. Together with the recent boom in artificial intelligence (AI) and machine learning (ML), they open new avenues that accelerate technical development in microwave-based techniques for medical applications. In this Special Issue, we present a comprehensive exploration of microwave and antenna systems, showcasing their transformative impact on diverse medical applications, including medical diagnoses, treatment, and patient monitoring. The collection features nine cutting-edge original research articles followed by two insightful reviews incorporating microwave imaging an

Following on from the Special Issue “Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring”, we concluded that SAR has now become a pivotal sensor for agricultural monitoring. In this Special Issue, you will find a variety of background material discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful reference. Related Books Precision Agriculture and Crop Monitoring Based on Remote Sensing Methods Environmental & Earth Sciences Advances in SAR: Sensors, Methodologies, and Applications Environmental & Earth Sciences Remote Sensing in Agriculture: State-of-the-Art Environmental & Earth Sciences ... New Insights in Crop Monitoring and Management Using Remote Sensing Data Biology & Life Sciences ..

The book focuses on a novel application of Intelligent Systems for supporting the operation and maintenance of power systems or other technical facilities within wind farms. Indicating a different perception of the reliability of wind farm facilities led to the possibility of extending the operation lifetime and operational readiness of wind farm equipment. Additionally, the presented approach provides a basis for extending its application to the testing and analysis of other technical facilities. Related Books Application of Intelligent Techniques in Power System Stability, Control and Protection Engineering Advances in Diagnostic Analysis, Strategic Management, and Proactive Maintenance of Electrical Equipment Engineering Machine Learning for Energy Systems Engineering Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Environmental & Earth Sciences ... Intelligent Control in Energy Systems Engineering The recommendations have been generated using a

In “Removal of Cyanobacteria and Cyanotoxins in Waters” we have attempted to provide readers with a comprehensive overview of the different strategies and alternative treatments currently being studied for the effective removal of cyanobacteria and cyanotoxins from water. Related Books Cyanobacteria and Cyanotoxins Biology & Life Sciences Cyanotoxins in Bloom Environmental & Earth Sciences Freshwater Algal Toxins Biology & Life Sciences ... Advancing Knowledge on Cyanobacterial Blooms in Freshwaters Biology & Life Sciences ... Toxic Pollutants in Water Environmental & Earth Sciences The recommendations have been generated using an AI system. About: About MDPI Books Advisory Board Legal Information: MDPI Privacy Policy Terms and Conditions Terms of Use Accessibility Sales: Order and Delivery Indexing and Distribution Further Information: Book Series Reprints Book/Chapter Processing Charges Pay an Invoice Open Access Policy Obtaining an ISBN For Librarians MDPI Initiatives:

The progress in the area of nanotechnology has opened the door for the fabrication of soft, biological, and composite nanomaterials for targeted applications. Nanomaterials are known to enhance the properties and functionality of composite materials several fold. The properties for the desired applications can often be achieved by the addition of small amounts of nanomaterials into soft materials such as polymers, gels, and biomaterials. This book condenses investigations by scientific groups from highly diverse research fields, which will be beneficial for the wider scientific community. Related Books Advanced Biopolymer-Based Nanocomposites and Hybrid Materials Chemistry & Materials Science Novel Structural and Functional Material Properties Enabled by Nanocomposite Design Chemistry & Materials Science Nanomaterials for Biomedical and Biotechnological Applications Biology & Life Sciences Nanocomposites of Polymers and Inorganic Nanoparticles Chemistry & Materials Science Novel Bioco

This Reprint continues the work initiated in our previous edition, Mathematical Models and Simulations, emphasizing the central role of mathematical modeling in understanding complex systems across physics, biology, finance, and engineering. Mathematical models provide the structural framework through which the behavior of physical and abstract phenomena can be interpreted, predicted, and optimized. Alongside these theoretical foundations, numerical simulations serve as a crucial complement, enabling researchers to explore system dynamics, test hypotheses, and forecast quantities of interest with high fidelity. The Reprint brings together contributions spanning a broad spectrum of mathematical physics, highlighting both deterministic and stochastic modeling approaches. Deterministic models typically rely on ordinary or partial differential equations to describe well-defined system evolutions, while stochastic models account for randomness through stochastic processes or stochastic differential equations. Emphasis is placed on rigorous mathematical analyses of these models to ensure clarity, reliability, and applicability.

Up until the current pandemic, the terms “urban-scape” and “human-scape” have been meant, assumed, and practised as parallel dimensions of the territorial analysis, marginalising the knowledge and the evaluation of the landscape risk. This has always been associated, and often confused, with diverse forms of environmental risk, despite the fact that they represent some of the most important components of risk, but not its essence. The relation between social capital and landscape deserves to be examined and represented in its entirety: as a matter of fact, while social capital has mainly been considered in the material, functional, economic, and ethical dimensions, landscape has been examined in the perceptual, psychological, cultural, and aesthetic dimensions. Sudden and widespread environmental fluctuations, such as the one created by the pandemic and by the Russian-Ukrainian crisis, significantly involved the relationship between the two main existential dimensions of the settled communities—social capital and landscape—and its possible representations by means of the economic–monetary dimension as well. This reprint contains empirical studies and systematic reviews regarding the essence and the possible overcoming of the conflict between some specific functions of the economic sub-system and landscape quality, with specific reference to the main criticalities already existing before the pandemic and to the possibility—prefigured by the new restraints—to rebuild their connections in order to reduce the landscape risk.

The significance of non-invasive imaging techniques, particularly ultrasound, cannot be overstated in the field of obstetrics and gynecology. These methods are not only essential but also revolutionize the way in which diagnoses are made. In recent times, modern imaging tools have taken on a more prominent role in everyday diagnostic processes. The advent of new handheld imaging devices has been a game changer in the realms of gynecology and obstetrics. This technological evolution brings with it the need for specialized training and continuing education for medical professionals to stay abreast of these advancements. While these innovative methods show promise, there is a necessity for ongoing research and evidence to firmly establish their efficacy and value in daily clinical practice. Additionally, the integration of technology in healthcare extends beyond imaging tools. The use of applications (apps) is on the rise among both patients and physicians. These apps serve as valuable

This Special Issue reprint covers the synthesis of luminescent nanomaterials, applications for in vitro and in vivo imaging, detection based on fluorescence resonance energy, and the applications of luminescent nanoparticles for photodynamic activation and solid-state displays, as well as new materials and structures, such as perovskite quantum dots, and novel phenomena, such as aggregation-induced emissions. In total, there are 15 papers (2 reviews and 13 research articles) in this Special Issue consisting of the major areas of upconversion of luminescent nanomaterials; luminescent nanomaterials for solid-state lighting, displays, and anti-counterfeiting; particle-based sensing technology; particle-based therapeutics; and new materials and structures. This Issue represents new developments in luminescence nanotechnology. Related Books Advanced Luminescent Materials and Devices Chemistry & Materials Science Innovative Nanomaterial Properties and Applications in Chemistry, Physics, M

Nowadays, the impact of nanotechnology on applications in medicine and biomedical sciences has broader societal and economic effects, enhancing awareness of the business, regulatory, and administrative aspects of medical applications. The selected papers included in the present Special Issue gives readers a critical, balanced and realistic evaluation of existing nanomedicine developments and future prospects, allowing practitioners to plan and make decisions.The topics of this book covers the use of nanoparticles and nanotechnology in medical applications including biomaterials for tissue regeneration, diagnosis and monitoring, surgery, prosthetics, drug delivery systems, nanocarriers, and wound dressing. I would like to express my gratitude to all contributors to this issue, who have given so much of their time and effort to help create this collection of high quality papers. Related Books Biomedical Applications of Nanoparticles Biology & Life Sciences ... Nanomaterials for Biomed

The book includes original research and review articles covering different aspects of the exploitation of bioactive compounds recovered from vegetables and plants as natural ingredients for nutraceutical purposes and for crop protection. Innovative approaches for the extraction of bioactives from different plant species are detailed together with up-to-date methods and results of investigations on the quali-quantitative fingerprint of the obtained extracts. Sustainability of the extraction processes is also considered, with studies focused on the reuse of agri-food industry wastes with a view to a circular economy. Additionally, biotechnological and microbial-based approches are addressed with studies aiming for the recovery of biactives from bacterial and fungi microrganisms and using microrganisms to improve the bioactives' extraction performances. In vivo tests and in vitro bioassays to support biological activity of purified compounds, complex extracts and/or combined extracts de

This book discusses the geological time that will follow the human-dominated epoch and ways to move there. In addition to an editorial, a total of five articles are published in this volume. The articles engage with a variety of social science disciplines—ranging from economics and sociology to philosophy and political science—and connect to natural science’s insights into the Anthropocene. The volume calls for going beyond anthropocentrism in sustainability theory and practice in order to exit the Anthropocene with applications and insights in the contexts of politics, energy, tourism, food and management. We hope that you will find this book interesting and helpful in contributing to sustainable change. Related Books Faith after the Anthropocene Social Sciences, Arts & Humanities ... Tropical Forest Ecology and Management for the Anthropocene Biology & Life Sciences ... Historical Ecology, Archaeology and Biocultural Landscapes: Cross-Disciplinary Approaches to the Long Anthropocene

The rapid advancement of deep learning technology has brought about transformative breakthroughs in perception and recognition systems across a wide range of applications. In addition to driving innovation in industrial sectors, it has opened up significant opportunities in fields such as intelligent transportation, smart cities, healthcare, and robotics. Deep learning significantly enhances the accuracy and robustness of perception and recognition systems through hierarchical feature extraction in multilayer neural networks, achieving remarkable results in areas such as soft sensing, image classification, natural language processing, and object detection. By training on large volumes of labeled data, deep learning algorithms are able to automatically learn complex feature representations and efficiently recognize objects during the perception process. As application scenarios grow more complex and data become increasingly diverse, deep learning models continue to face significant challenges in solving real-world perception and recognition problems. These challenges include ensuring model generalization when dealing with noisy, imbalanced, or limited data; enhancing performance through self-supervised, few-shot, or transfer learning in cases of insufficient labeled data; integrating information across different scales, dimensions, and modalities.

In recent years, numerous advances have been made in the area of conservation methodologies and practices for architectural cultural heritage. The use of innovative technologies and multidisciplinary approaches can be considered valuable tools to support the conservation, fruition, rehabilitation, and valorization of historical–artistic buildings, which are usually subject to protective restrictions and therefore require non-invasive or micro-destructive diagnostic analyses. This reprint collects research articles on architectural heritage conservation, focusing on materials science, diagnostics and monitoring, chemical analysis, intervention, civil and materials engineering, green materials, and the use of innovative digital technologies.

The field of medical and surgical retina has grown exponentially over the recent few decades. Several novel and promising treatments, technological developments, and advanced surgical techniques have become available for eye conditions, including age-related macular degeneration, retinal vein occlusions, diabetic retinopathy and macular oedema, retinal detachment, macular holes and membranes, genetic disorders, uveitis, and inflammations. This Special Issue summarizes modern therapeutic and surgical approaches to retinal and vitreoretinal diseases, making a valuable contribution to our existing knowledge, describing the current state of the art, and providing directions for future research. Related Books Vitreoretinal Disease Medicine & Pharmacology Retinal Diseases Biology & Life Sciences The Challenges and Therapeutic Prospects in Eye Disease Biology & Life Sciences New Challenges in Ocular Drug Delivery Medicine & Pharmacology Treatment of Cornea and Ocular Surface Diseases Medi

This reprint presents a collection of twelve scientific articles that delve into the complex relationship between climate change and food security in various regions of the world. The articles examine the impact of climate change on crop production, water resources, and livestock farming, and they explore potential adaptive measures to mitigate the effects of climate change on food security. The articles cover a wide range of geographic locations, from Southeastern Poland to Central Ethiopia, Algeria, Egypt, South Africa, Afghanistan, and Canada. Each article provides valuable insight into the impact of climate change on food security, including the potential link between drought and wild blueberry production in Maine, the use of geospatial assessments to guide climate adaptation strategies for flood-tolerant rice varieties in India, and the impact of non-conventional agricultural spaces on mitigating the effects of climate change on food security in Quebec, Canada. The authors also

The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process. Related Books Recent Advances in Psychopathology in Neurodevelopmental Disorders: From Bench to Bedside Medicine & Pharmacology Genetic, Epigenetic, Environmental, and Pharmacological Models for Neuroscience, Neurologic Diseases, and Psychiatric Disorders: Advancement in Bench-to-Bedside Translational Research Biology & Life Sciences ... Future Challenges for the Diagnosis and Management of

The global antimicrobial resistance crisis has been the driver of several international strategies on antimicrobial stewardship. Despite their good intentions, such broad strategies are only slowly being implemented in real life. Antimicrobial resistance bacteria flow among humans and animals, and actions for fighting the problem must consider both sectors. Antimicrobial usage is one of the potential drivers for antimicrobial resistance. The usage of antibiotics concerning companion and food animals and antimicrobials is undoubtedly beneficial for the prevention of diseases and the improvement of livestock performance.Unfortunately, in veterinary medicine, which is challenged by a shortage of experts in key disciplines related to antimicrobial stewardship, there are few antimicrobial treatment guidelines and diagnostic tests are inferior compared to human microbiology, without providing enough valuable information, which makes it difficult to identify by whom, when, and how the antimi

This book compiles four review articles and four research papers that highlight recent developments in the field of peptide nucleic acid (PNA) chemistry and biomedicine. The review articles encompass a variety of fields related to PNA, emphasizing the versatility of this DNA mimic. Two excellent reviews detail the use of PNA for molecular diagnostics of miRNAs and genetic point mutations (SNPs). Another review provides a comprehensive analysis of the various approaches for gene editing using chemically modified PNA molecules. Lastly, PNA molecules are elegantly described as effective (antisense) antimicrobial agents in the final review. The high binding affinity of PNA to complementary DNA and RNA is highlighted in three research articles. Two articles show how PNA molecules act as splice modulating and RNA masking molecules, separately. In another contribution, the high affinity and achiral characteristics of PNAs are used to developed a stable L-DNA-based catalytic hairpin assembly.

Natural toxins are a diverse group of toxic compounds that are naturally produced by living organisms. Possessing various structures, natural toxins demonstrate different biological functions and toxicity. While these compounds are not harmful to the organisms producing them, via different exposure routes, they can reach human and animal bodies and can cause adverse health effects. Chemical diversity, occurrence at low levels, and presence in complex matrices make the reliable detection of natural toxins a persistent analytical challenge. Exposure to natural toxins needs to be studied and monitored; therefore, the availability of robust, sensitive and fit-for-purpose analytical methods for the detection, screening and/or quantification of various groups of natural toxins is crucial. Importantly, continuous advances in analytical methodologies are essential not only for accurate identification and quantification but also for exposure assessment, biomonitoring, and clinical diagnostics. This Special Issue (SI) is dedicated to the analysis of natural toxins via multi-analyte methods. The SI provides a collection of articles that emphasize the simultaneous detection of multiple toxins, showcase innovations in sample preparation, and expand the applicability fields of toxin detection across food, feed, and human biomonitoring.

Rapid progress in brain tumor diagnostics is reshaping practice across neuro-oncology. In line with the newly updated WHO classification of CNS tumors, which formalizes an integrated diagnosis that combines histopathological criteria with tumor-specific molecular signatures, current research is expanding the set of markers and tools that refine tumor recognition and classification. Parallel advances in methodology are streamlining workflows and improving diagnostic accuracy. This Special Issue presents recent advancements and breakthroughs in brain tumor diagnosis. It focuses on the discovery and validation of novel biomarkers, the development and assessment of new diagnostic techniques, and the implementation of state-of-the-art methods for detection and classification. Content spans neuroimaging, molecular biology, pathology, and clinical diagnosis, with an emphasis on approaches that support precision diagnostics and inform treatment selection.

This reprint of a Special Issue of Mathematics presents recent research on the theory and applications of optimization. The subjects that are addressed in the ten research papers cover a broad spectrum of optimization algorithms, such as unconstrained optimization, non-convex optimization, multi-objective optimization, graph theory, or flow shop scheduling.