Perpustakaan Digital

Pain biomarkers are biological indicators or measurable characteristics that can provide information about the presence, severity, or underlying mechanisms of pain. They are valuable for several reasons: Diagnosis and differential diagnosis: Biomarkers can help in the diagnosis of various pain conditions and differentiate between different types of pain, such as neuropathic, inflammatory, or nociceptive pain. This can lead to more accurate and timely diagnoses, which in turn can improve patient care. Monitoring treatment efficacy: Pain biomarkers can be used to track how well treatments are working for individuals suffering from chronic pain conditions. This allows healthcare providers to make informed decisions about adjusting treatment plans, optimizing pain management, and avoiding unnecessary or ineffective interventions. Drug development and testing: Biomarkers play a crucial role in the development of new pain medications and therapies. They can help researchers identify potent

Polymeric biomaterials represent an essential tool in the biomedical field. Their high biocompatibility and ability to provide adequate regenerative support are fundamental for the development of new therapeutic devices. In particular, biomaterials derived from living organisms can exhibit not only structural roles but also several non-structural functions implicated in cellular growth, migration, and differentiation. Among them, type I collagen, a ubiquitous structural protein present in the mammalian body, plays a dominant role in maintaining the biological and structural integrity of various tissues. In recent years, with the goal of developing multi-functional collagen-based devices able to better promote the functional recovery of damaged tissues, numerous studies have focused on novel techniques and methods for the development and characterization of innovative and advanced high-performance formulations. The ability to control, modify, and tune collagen-based biomaterials perfo

The main focus of this thematic collection is on the antimicrobial activity of essential oils and their combinations with conventional antimicrobial drugs, including the eradication of the existing biofilms, the explanation of the mechanisms underlying antimicrobial activity, and the preparation of stable formulations with essential oils, which boost their antimicrobial activity and provide greater stability. These issues are addressed in four research papers and three reviews, which present novel advances in the development and application of essential oils as antimicrobial agents via combinatorial and nano-based approaches. Related Books Chemical Composition and Biological Activities of Essential Oils Biology & Life Sciences Plant Essential Oil with Biological Activity II Biology & Life Sciences Antimicrobial Activity of Plant Volatiles in Vapor Phase Biology & Life Sciences Antioxidant Activity of Essential Oils Biology & Life Sciences Plant Essential Oil with Biological Activity

Electric vehicles are only ‘green’ as long as the source of electricity is ‘green’ as well. At the same time, renewable power production suffers from diurnal and seasonal variations, creating the need for energy storage technology. Moreover, overloading and voltage problems are expected in the distributed network due to the high penetration of distributed generation and increased power demand from the charging of electric vehicles. The energy and mobility transition hence calls for novel technological innovations in the field of sustainable electric mobility powered from renewable energy. This Special Issue focuses on recent advances in technology for PV charging and storage for electric vehicles. Related Books Integration of Electric Vehicles and Battery Storage Systems Engineering Power Electronics and Energy Management for Battery Storage Systems Chemistry & Materials Science ... Advanced Solutions for the Efficient Integration of Electric Vehicles in Electricity Grids Engineerin

Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large scale pollution incidents take lives and cause exceptionally large health problems. The majority of large-scale disasters affect the most vulnerable populations, which are often comprised of people of extreme ages, in remote living areas, with endemic poverty, and with low literacy. Health-related emergency disaster risk management (Health-EDRM) [1] refers to the systematic analysis and management of health risks surrounding emergencies and disasters; it plays an important role in reducing hazards and vulnerability along with extending preparedness, response, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, timely deployment of relief workers, and the provision of suitable drugs and medical equipment, to decrease the impact of disaster on people before, during, and after disaster events. Disaster risk profiling and interve

The Reprint Applications of Neural Networks in Robot Control presents recent advances in the integration of artificial neural networks within robotic systems, highlighting the growing role of learning-based approaches in perception, planning, control, and autonomous decision making. The collected contributions address a wide range of robotic applications, including legged locomotion, mobile robot navigation, robotic manipulation, aerial vehicles, firefighting robots, and magnetic actuation systems. The papers demonstrate how modern neural architectures are increasingly employed to improve adaptability, robustness, and performance in complex and uncertain environments. Several contributions emphasize the importance of hardware and software co-design, energy efficiency, and the transfer of learned behaviors from simulation to real-world platforms. The Reprint also highlights emerging research directions, including neuromorphic computing, continual learning, multimodal perception, explainable artificial intelligence, and the certification of safety for autonomous systems. By bringing together theoretical developments, methodological innovations, and experimental applications, this Reprint provides a comprehensive overview of current trends in neural network-based robot control. It serves as a valuable reference for researchers, engineers, and practitioners working at the intersection of artificial intelligence, robotics, and intelligent autonomous systems.

This edited volume, sourced from the Journal of Risk and Financial Management, explores the critical intersection of modern finance, technological innovation (FinTech), and sustainable development. It features cutting-edge research on how FinTech is driving the transition toward a globally sustainable financial system. This book details the synergy between digital infrastructure and Environmental, Social, and Governance (ESG) imperatives. Key chapters examine the transformative power of technologies like blockchain, digital currencies, and AI in robo-advising as they reshape financial markets, investment, and asset management practices. Key areas covered in this volume include the following: Sustainability-Driven Financing: Analysis of green finance, sustainable investment models, and Green Banking’s role in achieving sustainable development goals; Digital Innovation in Risk and Investment: Research on cryptocurrencies, decentralized financial markets, and the development of innovative, resilient investment portfolios; FinTech Applications: Studies on the use of digital payment systems, crowdfunding, and peer-to-peer lending for unlocking new financing sources and democratizing capital access; Impact on the Finance Profession: Examination of how emerging technologies and sustainable mandates affect traditional financial practices and global regulatory frameworks.

This Special Issue brings together groundbreaking research focused on the enhancement of fault diagnosis and condition monitoring across various mechanical and electrical systems, leveraging advanced sensor technologies and intelligent diagnostic methods. The contributions encompass innovative approaches such as deep learning models for transformer and rolling bearing fault detection using vibration signals and time–frequency analyses, significantly boosting diagnostic accuracy and robustness. This collection also explores cutting-edge methodologies like Bayesian-optimized machine learning techniques and the application of vision transformers and convolutional neural networks to manage complex fault scenarios. With a strong emphasis on cross-domain diagnostics, the articles provide insight into the adaptive models capable of maintaining their performance across different operational conditions, enhancing real-time monitoring capabilities. This Special Issue is an essential resource for professionals and researchers dedicated to developing resilient and efficient solutions for equipment reliability, operational safety, and predictive maintenance. The collection reflects the forefront of sensor-based condition monitoring, fostering advances that support the sustainable and safe operation of critical systems.

Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork.  We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop pa

In 2023, Economies celebrates its 10th anniversary. Thanks to the incredible support from all of you, the journal has developed into a well-respected academic journal. Economies has been included in several journal rankings, has a decent and growing number of submissions by well-known experts, and obtains very satisfactory citation scores given its young age. We acknowledge these achievements with a dedicated Special Issue. Therefore, researchers from all areas of economic research have been invited to submit their contributions to this Special Issue. The Special Issue is titled “Recent Topics in Economic Research” and covers a broad range of topics that are currently at the forefront of economics research and that are within Economies' scope. This includes original research papers as well as comprehensive review papers on topics of actual importance in economics. Related Books Focused Issues and Trends in Economic Research from Germany Business & Economics Economic Analysis and Po

Histopathological studies of aquatic animals refer to the microscopic examination of tissues and organs in order to detect deviations from the expected microscopic or macroscopic structure. Information obtained from the study of histomorphological lesions in aquatic animals can be a useful addition when determining the general state of health of aquatic animals, especially if chronic stressors and/or pathogens are present. Compared to mammals, postmortem autolysis progresses very rapidly in most aquatic organisms. This fact makes histopathological examination quite complex and demanding, not only in a histotechnical sense. A prerequisite for a successful study is the baseline knowledge of physiological processes and histological architecture of the studied species. Therefore, the aim of this Special Issue is to contribute to the current state of knowledge on the histopathology of aquatic animals and to provide a professional and encyclopedic tool for biologists and veterinarians. Re

This collection of 10 papers includes original as well as review articles focused on the cholinesterase structural aspects, drug design and development of novel cholinesterase ligands, but also contains papers focused on the natural compounds and their effect on the cholinergic system and unexplored effects of donepezil. Related Books Design and Synthesis of Bioactive Compounds for Therapeutic Applications Biology & Life Sciences ... Enantioselective Synthesis, Enantiomeric Separations and Chiral Recognition Chemistry & Materials Science Biomolecular Approaches and Drugs for Neurodegeneration Biology & Life Sciences Feature Papers in Compounds Chemistry & Materials Science Enzyme-Mediated Stereoselective Synthesis Chemistry & Materials Science 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 Distributio

This Special Issue comprises selected papers from the proceedings of the 5th International Electronic Conference on Sensors and Applications, held on 15–30 November 2018, on sciforum.net, an online platform for hosting scholarly e-conferences and discussion groups. In this 5th edition of the electronic conference, contributors were invited to provide papers and presentations from the field of sensors and applications at large, resulting in a wide variety of excellent submissions and topic areas. Papers which attracted the most interest on the web or that provided a particularly innovative contribution were selected for publication in this collection. These peer-reviewed papers are published with the aim of rapid and wide dissemination of research results, developments, and applications. We hope this conference series will grow rapidly in the future and become recognized as a new way and venue by which to (electronically) present new developments related to the field of sensors and th

This Special Issue titled “Information-Theoretic Security and Privacy” brings together nine peer-reviewed contributions that span both fundamental theory and practical system design. The accepted papers cover a diverse range of topics, including private information retrieval, graph-based computation and analytics, differential privacy, federated and distributed learning, sequential inference, and system-level security mechanisms for emerging platforms such as the Internet of Things (IoT) and large language model (LLM) environments. Overall, the contributions highlight how advances in this area arise from the interplay between information-theoretic modeling, algorithmic design, and application-driven constraints. Taken together, the papers confirm that information-theoretic approaches remain central to understanding and designing trustworthy, efficient, and scalable data-driven systems.

This Reprint presents recent advances in fractional calculus, organized into three main themes: theoretical developments, methodological advances, and applications. Theoretical contributions examine two forms of the Riemann–Liouville derivative and their impact on solution structures, and introduce anomalous diffusion models based on regularized general fractional derivatives with Sonin kernels. Methodological studies focus on improved analytical and numerical approaches, including the optimal q-Homotopy Analysis Method, iterative and perturbation techniques for nonlinear equations, and applications of the fractional differential quadrature method to nonlinear and high-dimensional systems. Applications demonstrate the breadth of fractional modeling, covering fuzzy systems and controllability, fractional-order boost converters, viscoelastic dampers, ZnO nanostructures, solar-cell charge dynamics, and personalized fractional-order controllers for anaesthesia. Together, these works highlight how fractional calculus continues to advance through theoretical developments, methodological advances, and practical applications across science, engineering, and medicine.

New Techniques and Equipment in Large Offshore Aquaculture Platforms explores technologies shaping marine aquaculture's future. Addressing rising seafood demand and nearshore limitations, it highlights offshore aquaculture as a sustainable solution, detailing advancements in species selection, breeding technologies, environmental control, platform construction, and the integration of AI-driven technologies. One significant theme is developing resilient aquaculture species adapted to offshore conditions, with breeding strategies enhancing survival and growth for deeper water expansion.Environmental control in offshore environments is another focal point, highlighting real-time monitoring, automated feeding, and sensor networks to maintain water quality, temperature, and oxygen levels, ensuring marine species' health and productivity. The reprint covers offshore platform design, addressing engineering challenges and innovations in stability and biofouling prevention to ensure fish health and operational efficiency. In terms of feeding and health management, the reprint highlights precision feeding, real-time health monitoring, and AI-driven systems to optimize processes and enhance sustainability in offshore aquaculture. Each chapter also includes case studies on innovations like vacuum fish pumps and mooring systems, providing practical insights and a foundation for future research, benefiting professionals and policymakers. This comprehensive overview highlights offshore aquaculture's potential to sustainably and economically meet global seafood demands, advancing a responsible and innovative industry.

Seismic exploration is a geophysical method with deeper exploration capabilities and higher resolution than potential geophysical methods. It has been widely used in the fields of oil and gas, mineral, and environmental exploration, as well as engineering.  This Special Issue provides several advanced methods and technologies for seismic data processing and interpretation, including the following:  noise elimination, migration and inversion, passive seismic exploration, a theory for seismic wave propagation, and also Artificial Intelligence technology used in seismic data processing. Related Books Geophysics for Mineral Exploration Environmental & Earth Sciences Application of Geophysical Data Interpretation in Geological and Mineral Potential Mapping Environmental & Earth Sciences 3D/4D Geological Modeling for Mineral Exploration Environmental & Earth Sciences New Advances in Low-Energy Processes for Geo-Energy Development Engineering Novel Methods and Applications for Mineral Expl

Roads, bridges, airports, and ports are multirole transportation infrastructure assets, which rely heavily on asphalt, cement, and aggregates in traditional civil engineering. Multirole transportation infrastructures should be resistant enough against structural loads and vehicle loads. Further, multirole transportation infrastructures are greatly affected by climate change, which has the potential to impact both long- and short-term infrastructure performance. Recent developments in materials science, especially polymers, have brought new perspectives in the modification of civil engineering materials and consequent improvements. Being both strong and lightweight, polymer composites have already found wide-ranging uses in civil engineering. The application of various types of polymers includes admixtures and additives (e.g., alternative binders, polymer fibers) for enhanced mechanical performances and enhanced functional properties such as self-healing and self-cleaning. Therefore,

This book is a reprint of the Special Issue “Intelligent Autonomous Decision-Making and Cooperative Control Technology of High-Speed Vehicle Swarms”,which was published in Applied Sciences. Related Books Intelligent Coordination of UAV Swarm Systems Engineering Advances in Intelligent Vehicle Control Engineering Recent Advances in Swarm Intelligence Algorithms and Their Applications Computer Science & Mathematics Feasible, Robust and Reliable Automation and Control for Autonomous Systems Engineering Advanced Sensing and Control Technologies for Autonomous Robots Engineering 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: MDPI Jou

Delay, difference, functional, fractional, and partial differential equations have many applications in science and engineering. In this Special Issue, 29 experts co-authored 10 papers dealing with these subjects.  Related Books Differential and Difference Equations Computer Science & Mathematics Advances in Differential and Difference Equations and Their Applications Computer Science & Mathematics Fractional Differential Equations Computer Science & Mathematics Fractional Differential Equations, Inclusions and Inequalities with Applications Computer Science & Mathematics Advances in Differential and Difference Equations with Applications 2020 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 Terms of Use Accessibility Sales: Order and Delivery Indexing and Distribution Further Information: Book Series Reprints Book/Chapter Processing C

Glass fibres are melt-spun, silica-based inorganic materials. Their main application is in glass fibre-reinforced composites, which account for more than 90\% of all fibre-reinforced composites currently produced. Nevertheless, improvement of the key properties of composites remains challenging. The objective of this reprint is to focus on actual research topics related to glass fibres comprising multifunctional nanostructured surfaces, e.g., graphene, which can lead to electrically conductive fibres and their interphases in composites that are capable of uptake under a variety of mechanical, chemical, humidity, and thermal conditions for in situ sensing functions. Sizing of glass fibres help to protect the filaments from failure during processing and improves wetting and adhesion strength. Furthermore, the interphase may be varied by suppressing or promoting heterogeneous nucleation of a thermoplastic matrix and, thus, the transcrystalline layer can improve the mechanical performance

Lightweight alloys (magnesium, aluminum, titanium, low-density steels, and their composites) are essential for energy efficiency in transportation, aerospace, and renewable energy. However, their widespread application faces challenges, including strength–ductility trade-offs, processing defects, and corrosion-wear resistance. This Reprint features 12 contributions from the Special Issue "High-Performance Lightweight Alloy Materials and Their Advanced Forming Technologies." It covers key topics such as ultra-high-strength aerospace Al alloys, Al–Li weldability, Fe-rich phase control in recycled aluminum, extrusion mechanisms for wrought Mg components, defect-free welding of cast Mg–RE alloys, ceramic-reinforced Mg composites, titanium matrix composites via hot isostatic pressing and laser powder bed fusion, κ-carbide precipitation in low-density steels, and corrosion-wear mechanisms in high-entropy alloys. This Reprint is distinguished by its integrated perspective. Rather than treating materials in isolation, it reveals shared strategies such as composition optimization, microstructural engineering, and advanced forming technologies for unlocking next-generation structural solutions. Each manuscript addresses critical bottlenecks, offering processing-informed pathways toward improved mechanical performance and sustainability. Serving as a valuable resource for researchers and engineers, this Reprint highlights recent advances and identifies persistent gaps, offering forward-looking guidance for future innovation in lightweight alloys.

This Reprint brings together contributions from the Special Issue on Genetic Engineering in Microbial Biotechnology, originally published in the International Journal of Molecular Sciences. Under the guest editorship of Dr. Fernando Santos-Beneit, the collection addresses the key intersection of gene-based technologies and microbial systems, exploring how microorganisms may be harnessed for sustainable innovation. Featuring both original research and authoritative reviews, the Reprint encompasses topics such as white, red, yellow, green, and other branches of biotechnology; bioinformatic analyses; metabolic engineering; microbial genetic circuits; degradation of synthetic polymers; biosynthesis of bioproducts; enzyme engineering; antimicrobial resistance; and novel secondary metabolites. Collectively, these studies seek to confront pressing challenges of modern society—such as the climate crisis, environmental pollution, and health threats—by leveraging the smallest forms of life. Each paper in the Reprint exemplifies rigorous experimental design, computational insight, and strategic engineering aimed at translational or applied outcomes. Whether enhancing bioproduct yield, developing biodegradable polymers, or elucidating novel genetic pathways, the contributions illustrate the compelling promise of genetically engineered microorganisms in illuminating new biotechnological possibilities. The Reprint offers both researchers and practitioners a curated resource of cutting-edge developments and future directions in microbial genetic engineering, providing a foundation for further progress toward a more sustainable and innovative bioeconomy.

This Special Issue features 24 articles on current topics, exploring key conditions for effective battery recycling. It covers various battery types and processes, examining steps from initial crushing and mechanical pretreatment to material separation. Some studies investigate the use of air classifiers to separate battery foils and sensors for sorting components by material type. Other studies look into how different battery types affect these mechanical steps and the impact of thermal pretreatment on materials like NMC 622 black mass. Thermal pretreatment is highlighted as a critical step for removing organic compounds and breaking down materials, enabling more efficient recycling. Several studies focus on this process, including sulfuric roasting for LCO-rich black mass and safe lithium recovery from LiS cells. After pretreatment, hydrometallurgical processes are typically applied to further recover valuable materials. Researchers aim to optimize these steps, enhancing lithium leaching efficiency and reducing process-disrupting viscosity. Organic acids like gluconic and acetic acids are considered environmentally friendly alternatives for extracting elements such as cobalt and nickel. This Special Issue also includes broader reviews addressing topics like the role of LIBs in sustainable energy and minimizing losses in recycling steps. Together, these studies provide a comprehensive overview of advancements and future directions for efficient, sustainable battery recycling.