Perpustakaan Digital

Data hiding techniques have been widely used to provide copyright protection, data integrity, covert communication, non-repudiation, and authentication, among other applications. In the context of the increased dissemination and distribution of multimedia content over the internet, data hiding methods, such as digital watermarking and steganography, are becoming increasingly relevant in providing multimedia security. The goal of this book is to focus on the improvement of data hiding algorithms and their different applications (both traditional and emerging), bringing together researchers and practitioners from different research fields, including data hiding, signal processing, cryptography, and information theory, among others. Related Books Cryptography and Its Applications in Information Security Computer Science & Mathematics ... Image and Video Forensics Engineering Digital Image Processing Computer Science & Mathematics ... Advanced Mathematical Methods in Intelligent Multime

This book is the first literature collection focused on the development and implementation of unmanned aircraft systems (UAS) and their integration with sensors for atmospheric measurements on Earth. The research covered in the book combines chemical, physical, and meteorological measurements performed in field campaigns, as well as conceptual and laboratory work. Useful examples for the development of platforms and autonomous systems for environmental studies are provided, which demonstrate how careful the operation of sensors aboard UAS must be to gather information for remote sensing in the atmosphere. The work serves as a key collection of articles to introduce the topic to new researchers interested in the field, guide future studies, and motivate measurements to improve our understanding of the Earth’s complex atmosphere. Related Books Advancing UAV-Based Remote Sensing Environmental & Earth Sciences UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS

Big data approaches and artificial intelligence are rapidly reshaping the way geoscientists analyze, model, and interpret the Earth. This Special Issue focuses on the practical application of big data mining, machine learning, and artificial intelligence in Earth science. It aims to explore the role of big data paradigms in guiding model development, the integration of domain knowledge into AI systems, and the validation of AI methodologies within geoscientific contexts. Comprising 17 papers, the Reprint highlights transformative advances in areas such as mineral prospectivity prediction with metallogenic belt identification, geological data inversion, modeling and deep learning architectures, and combining geological databases with big data mining. It further introduces knowledge graphs and large language models as emerging tools that enhance data integration, interpretation, and knowledge discovery. By presenting AI-driven geology as a forward-looking paradigm, the collection demonstrates how artificial intelligence can revolutionize traditional geoscience practices by providing improved accuracy and deeper insight. Through practical examples and case studies, the Reprint illustrates the application of these technologies to complex geoscientific problems. It equips researchers, practitioners, and students with cutting-edge knowledge and tools to harness big data and machine learning, fostering innovation and advancing understanding across the geoscience disciplines.

As the healthcare sector adapts to the evolving standards of Industry 4.0, there is a pressing need for more intelligent, automated, and efficient solutions. This evolution demands cutting-edge research that meets the increasing technical and functional requirements of modern medical applications. The integration of advanced mechatronic systems is essential to create value-added products that are not only highly functional, but also seamlessly adaptable to dynamic healthcare environments. The scope of this reprint includes contributions that leverage mechatronic principles across a range of domains—such as smart manufacturing, rapid prototyping, artificial intelligence, and adaptive materials—to foster innovation in medical engineering. Whether through enhancing clinical robotic systems, streamlining automated production lines for medical devices, or developing next-generation diagnostic and therapeutic tools, mechatronics offers transformative potential.

“Law and Order for Energy Transition: Public Policies at the Crossroads” explores the pivotal role of legal frameworks in the global shift towards sustainable energy systems. This insightful reprint examines national and international policies, renewable energy impacts, regulatory instruments, and the intersection of energy and climate change policies. Addressing governance, energy justice, and access issues, it proposes solutions to legal barriers and promotes interdisciplinary dialogue among scholars, practitioners, and policymakers. Ideal for researchers, policymakers, and students in law, public policy, and energy studies, it aims to inspire innovation and informed decision-making in energy transition efforts worldwide. Related Books Energy Transition and Environmental Sustainability Environmental & Earth Sciences ... Sustainable and Low Carbon Development in the Energy Sector Social Sciences, Arts & Humanities ... Energy Transition and Climate Change in Decision-making Processe

Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively d

This reprint is focused on recent novel research related to the role of plant cell walls under biotic and abiotic stresses, which was published in the Special Issue “Plant Cell Wall Plasticity under Stress Situations” of the Plants journal. Considering the importance of this plant cell structure in a plethora of plant development processes, this book focused on unraveling the roles of different cell wall components and their turnover in plant defense against pathogens and adaptative responses, in cell wall hydration ability, and in the development of primitive water transport systems in non-vascular plants. Related Books Plant Cell Wall Proteins and Development Biology & Life Sciences Plant Responses to Biotic and Abiotic Stresses: Crosstalk between Biochemistry and Ecophysiology Biology & Life Sciences Exploring Abiotic Stress in Plants Biology & Life Sciences Abiotic Stresses in Plants: From Molecules to Environment Biology & Life Sciences Molecular Mechanisms in Plant Stress Tole

Nowhere is the explosion in comprehensive genomic testing more evident than in oncology. Multiple consensus guidelines now recommend molecular testing as the standard of care for most metastatic tumors. To aid in the advancement of this rapidly changing field, we intend this Special Issue of JPM to focus on technical developments in the genomic profiling of cancer, detail promising somatic alterations that either are, or have a high likelihood of being, relevant in the near future, and to address issues related to the pricing and value of these tests.The last few years have seen the cost of molecular testing decrease by orders of magnitude. In 2018, we saw the first “site-agnostic” drug approvals in cancer (for microsatellite unstable cancer (PD-1 inhibitors) and NTRK-fusions (TRK inhibitors)). Research on targetable mutations, determination of genetic “signatures” that can use multiple individual genes/pathways, development of targeted therapy, and insight into the value of new tech

Steels and their heat treatment are still very important in modern industry because most industrial components are made from these materials. The proper choice of steel grades along with their suitable processing makes it possible to reduce the weight of the components, which is closely related to energy and fuel savings. This has decisive importance in branches such as the automotive, transport, consumer industries. A great number of novel heat- and surface-treatment techniques have been developed over the past three decades. These techniques involve, for example, vacuum treatment, sub-zero treatment, laser/electron beam surface hardening and alloying, low-pressure carburizing and nitriding, and physical vapour deposition. This Special Issue contains a collection of original research articles on not only advanced heat-treatment techniques—carburizing and sub-zero treatments—but also on the microstructure–property relationships in different ferrous alloys. Related Books Heat Treatment

This Reprint compiles the peer-reviewed articles published in the second edition of the Special Issue ‘Agricultural Practices to Improve Irrigation Sustainability’ (Water, 2025). Agriculture remains the largest global water user, accounting for nearly 70\% of total withdrawals, and is under increasing pressure to demonstrate efficient, fair, and environmentally responsible water use. The collected papers highlight the need to safeguard irrigation sustainability while addressing climate change, resource degradation, and governance challenges within the water–energy–food–environment (WEFE) nexus. Building upon the first edition (2024), this volume expands the scope from plot-scale efficiency increase to advanced decision support tools capable of addressing uncertainty. The contributions highlight innovations in water use efficiency, smart irrigation technologies, remote sensing integration, and data-driven modeling approaches. Importantly, the studies emphasize that future gains depend on context-specific, resource-efficient practices rather than one-size-fits-all solutions. Together, these articles provide researchers, stakeholders, and policymakers with practical insights and analytical tools to support more resilient and informed irrigation management.

The purpose of this reprint is to explain the health-related factors, mechanisms, and consequences of mental health problems associated with chronic sleep disorders. The reprint presents how insomnia and sleep disorders affect mental health across genders and high-risk groups, including populations such as university students, healthcare workers, firefighters, people with ADHD symptoms, people with chronic spinal pain, and patients of forensic hospitals suffering from chronic neuropsychiatric disorders. By integrating findings from diverse demographic and clinical groups, the reprint provides insight into how chronic sleep disorders intersect with mental health, offering guidance for targeted interventions and public health policies. The reprint highlights the impact of contextual factors, including the COVID-19 pandemic, occupational stress, and digital media exposure, on sleep hygiene and mental well-being. The researchers examined how the currently observed risks associated with the use of modern technology, such as mobile screen addiction and online gaming disorder, impact specific aspects of mental health, including insomnia, stress, anxiety, and depression. Such a multifaced and comprehensive approach can be helpful for health-related organizations, healthcare professionals, and policymakers to develop the best strategies for prevention and psychological intervention for people at risk.

The development and application of advanced numerical and computer methods in civil engineering have become increasingly more important for modern engineers and researchers in recent decades. Advanced numerical and computer methods can be used, from the material level to the structural level, for solving nearly all engineering problems, solely or in combination with experimental/theoretical studies. In this Special Issue, we have successfully collected 10 excellent papers that present recent progress either in the novel development or the novel application of advanced numerical and computer methods for solving problems in civil engineering. Related Books Advanced Numerical and Computational Methods for Engineering and Applied Mathematical Problems Computer Science & Mathematics Numerical Simulation and Computational Methods in Engineering and Sciences Computer Science & Mathematics ... Advanced Numerical Methods in Applied Sciences Computer Science & Mathematics Numerical and Comput

This reprint contains 14 articles published in the Special Issue, “Use of Modern Materials in Technological Processes Accompanied by Frictional Heating". These articles can be divided into five groups:1) Analytical modeling of the frictional heating process in systems made of homogeneous and functionally gradient materials (FGMs) [1–7];2) Numerical simulations of the temperature mode of railway brake systems [8, 9];3) Experimental studies and numerical simulations of the influence of various types of additives added to the friction material in the wet clutch disc [10, 11];4) Inverse thermal problems of friction [12];5) The influence of friction on the stress distribution in a composite containing thin elastic homogeneous inclusions, or that made of FGM [13, 14]. Related Books Use of Modern Materials in Technological Processes Accompanied by Frictional Heating (Volume II) Computer Science & Mathematics ... Advances in Mechanical Testing of Engineering Materials Engineering Advanced T

This Special Issue was launched to promote a subject that is deserving of more attention: the study of new metrics, indicators or evaluation methods for noise exposure, and the relationship of noise with annoyance or other health effects, thus not relying only on an average noise exposure measure. This Special Issue on the theme of the New Indicators for the Assessment and Prevention of Noise Nuisance has attracted the interest of authors from all over the world, with the publication of two reviews and two communications, as well as original research papers. Progress has been made in the investigated topic; however, it is still necessary to increase the awareness of the population, both in geographical terms and for workers in specific sectors, such as the marine industry. It emerged that it is essential to carry out future studies that distinguish better between different sound sources with respect to their sound quality in terms of frequency, time pattern (fluctuation, emergence)

Schizophrenia is a common disease characterized by psychotic symptoms (e.g., delusion, hallucinations, blunted affect) and disturbances of cognitive function (e.g., memory, abstraction, attention). If not treated properly, patients may experience serious consequences in terms of social function. Much endeavor in several disciplines of medical science has been made to overcome the paucity of effective treatments for unmet needs, including cognitive impairment associated with schizophrenia.This Book, contributed by experts from various regions of the globe, provides up-to-date information to facilitate the development of personal therapeutics for this enigmatic illness. Related Books Schizophrenia Research and Care—Advancements and Challenges Public Health & Healthcare ... 10th Anniversary of Biomedicines—Translational Laboratory and Experimental Medicine for the Sake of Neurological Diseases and Mental Illnesses Biology & Life Sciences ... Recent Advances in Psychopathology in Neurod

Poly(lactic-co-glycolic acid) (PLGA) is one of the most successful polymers used for producing therapeutic devices, such as drug carriers (DC). PLGA is one of the few polymers that the Food and Drug Administration (FDA) has approved for human administration due to its biocompatibility and biodegradability. In recent years, DC produced with PLGA has gained enormous attention for its versatility in transporting different type of drugs, e.g., hydrophilic or hydrophobic small molecules, or macromolecules with a controlled drug release without modifying the physiochemical properties of the drugs. These drug delivery systems have the possibility/potential to modify their surface properties with functional groups, peptides, or other coatings to improve the interactions with biological materials. Furthermore, they present the possibility to be conjugated with specific target molecules to reach specific tissues or cells. They are also used for different therapeutic applications, such as in vac

This reprint compiles peer-reviewed articles that synthesize more than nine years of collaboration within the Metauniversity for Sustainable Development. The initiative began in 2016 when FAO selected the GESPLAN Research Group of the Polytechnic University of Madrid to promote the Principles for Responsible Investment in Agriculture and Food Systems (RAI) across Latin America, the Caribbean, and Spain. Since then, 46 universities and 52 agrifood companies, associations, and cooperatives from 12 countries have built a shared academic and institutional commitment to sustainable development and social responsibility. The first two articles establish the conceptual foundation. The first defines the Metauniversity as a “university of universities” integrating three pillars: the RAI principles, the research university paradigm, and the Metauniversity concept. The second article, through the Working with People (WWP) model, provides empirical validation in seven countries, demonstrating how rural development projects aligned with the RAI principles strengthen sustainable rural development outcomes. The remaining contributions present applied experiences in Peru, the Dominican Republic, Mexico, Ecuador, and Spain, built through collaboration among cooperatives, rural communities, universities, governments, companies, agrifood enterprises, and food banks. These studies show that the RAI principles and the WWP model become truly transformative when translated into shared learning and collective action.

This Special Issue addresses current challenges in the plant health of horticultural crops, highlighting the role of biocontrol agents as sustainable alternatives to the overuse of chemical pesticides. In a context where pathogens threaten global agricultural productivity, this collection of studies offers innovative approaches. The included articles range from region-specific epidemiological analyses, such as the study of downy mildew in Spanish vineyards, to findings on new diseases, such as the occurrence of Botrytis cinerea on pecan nuts in China. Several studies explore the efficacy of microorganisms such as Trichoderma asperellum and Exiguobacterium acetylicum, in disease control and in plant growth promotion. Viruses such as BCMV and BYMV are investigated in legumes, with the results being used to propose management strategies based on certified seeds and sustainable cultural practices. Other studies highlight biological pest control, such as the use of entomopathogenic nematodes against Pieris brassicae and beneficial bacteria to combat white rot in onion. Finally, a comprehensive review on the use of biocontrol agents in horticulture is presented, addressing genetic, environmental, and application aspects. Research shows that the use of biological agents can reduce reliance on synthetic chemicals, protect biodiversity, and ensure resilient agricultural systems.

This reprint concerns methods of data analysis for risk management in economics, finance, and business. The presented papers contain research on data analysis methods, including classical statistical methods, and machine learning methods that have emerged from statistics and are being effectively applied using high-speed computers, considering the availability of big data. Related Books Big Data Analytics and Information Science for Business and Biomedical Applications II Biology & Life Sciences ... Financial Data Analytics and Statistical Learning Business & Economics Big Data Analytics and Information Science for Business and Biomedical Applications Computer Science & Mathematics Data Analysis and Mining Computer Science & Mathematics Statistical Methods in Data Science and Applications Computer Science & Mathematics The recommendations have been generated using an AI system. About: About MDPI Books Advisory Board Legal Information: MDPI Privacy Policy Terms and Conditions Te

Photoactive nanomaterials exhibit myriad customized properties, making them appealing for a wide range of practical applications. Photoactive nanomaterials can convert photon to photon (photoluminescence), heat (photothermal effect), and separated charged carriers (photocatalytic reaction, photovoltaic effect), which is very important for the manipulation of light and the utilization of solar energy. This reprint collates 12 papers on recent research progress in emerging photoluminescent, photothermal, and photocatalytic nanomaterials, as well as their applications in optoelectronics and energy conversion. Related Books Novel Photoactive Materials Chemistry & Materials Science Photoactive Materials: Synthesis, Applications and Technology Chemistry & Materials Science Application of Photoactive Nanomaterials in Degradation of Pollutants Chemistry & Materials Science Functional Nanomaterials for Optoelectronics and Photocatalysis Chemistry & Materials Science Advanced Photocatalytic M

This book focuses on fundamental and applied research on forecasting methods and analyses on how forecasting can affect a great number of fields, spanning from Computer Science, Engineering, and Economics and Business to natural sciences. Forecasting applications are increasingly important because they allow for improving decision-making processes by providing useful insights about the future. Scientific research is giving unprecedented attention to forecasting applications, with a continuously growing number of articles about novel forecast approaches being published Related Books Feature Papers of Forecasting Environmental & Earth Sciences ... Advanced Methods for Time Series Forecasting Biology & Life Sciences ... Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting Engineering Hybrid Advanced Techniques for Forecasting in Energy Sector Engineering Forecasting and Risk Management Techniques for Electricity Markets II Engineering Th

The increasing demand for high data rate applications and the delivery of zero-latency multimedia content drives technological evolutions towards the design and implementation of next-generation broadband wireless networks. In this context, various novel technologies have been introduced, such as millimeter wave (mmWave) transmission, massive multiple input multiple output (MIMO) systems, and non-orthogonal multiple access (NOMA) schemes in order to support the vision of fifth generation (5G) wireless cellular networks. The introduction of these technologies, however, is inextricably connected with a holistic redesign of the current transceiver structures, as well as the network architecture reconfiguration. To this end, ultra-dense network deployment along with distributed massive MIMO technologies and intermediate relay nodes have been proposed, among others, in order to ensure an improved quality of services to all mobile users. In the same framework, the design and evaluation of

This Special Issue compiles 11 scientific works that were presented during the International Symposium on Thermal Effects in Gas Flow in Microscale, ISTEGIM 2019, held in Ettlingen, Germany, in October 2019. This symposium was organized in the framework of the MIGRATE Network, an H2020 Marie Skłodowska-Curie European Training Network that ran from November 2015 to October 2019 (www.migrate2015.eu). MIGRATE intends to address some of the current challenges in innovation that face the European industry with regard to heat and mass transfer in gas-based microscale processes. The papers collected in this book focus on fundamental issues that are encountered in microfluidic systems involving gases, such as the analysis of gas–surface interactions under rarefied conditions, the development of innovative integrated microsensors for airborne pollutants, new experimental techniques for the measurement of local quantities in miniaturized devices and heat transfer issues inside microchannels. Th

This Reprint presents a carefully curated collection of peer-reviewed, open access articles from the Electronics Special Issue “Security Challenges and Opportunities of Artificial Intelligence/Big Data Scenarios”, capturing state-of-the-art research at the intersection of artificial intelligence, big data analytics, cybersecurity, privacy engineering, and trustworthy intelligent systems. The contributions in this volume address a broad spectrum of critical topics, including adversarial machine learning, data leakage and privacy preservation, secure model training and deployment, authentication and access control in AI-driven systems, ethical risks and bias mitigation, regulatory compliance for big data platforms, and resilience against cyber threats in cloud, edge, and IoT environments. Beyond technical defenses and vulnerability detection, this Reprint highlights the dual nature of AI and big data: while these technologies introduce novel attack surfaces and systemic security risks, they also empower advanced threat intelligence, automated anomaly detection, predictive security analytics, and robust risk management across public service scenarios. We express our sincere gratitude to all contributing authors for their impactful work, to the reviewers for their rigorous and constructive feedback, and to the editorial and publishing teams at MDPI for their dedicated support throughout the process.