Perpustakaan Digital

This reprint aims to showcase manuscripts presenting efficient SOH estimation methods using AI which exhibit good performance such as high accuracy, high robustness against the changes in working conditions, and good generalization, etc. Lithium-ion batteries have a wide range of applications, but one of their biggest problems is their limited lifetime due to performance degradation during usage. It is, therefore, essential to determine the battery’s state of health (SOH) so that the battery management system can control the battery, enabling it to run in the best state and thus prolonging its lifetime. Artificial intelligence (AI) technologies possess immense potential in inferring battery SOH and can extract aging information (i.e., SOH features) from measurements and relate them to battery performance parameters, avoiding a complex battery modeling process. Related Books Artificial Intelligence-Based State-of-Health Estimation of Lithium-Ion Batteries Chemistry & Materials Scienc

This reprint covers the theory and fabrication of plasmonic nanostructures, patterned surfaces, and devices for lossy mode resonance (LMR), surface plasmon resonance (SPR), surface-enhanced fluorescence spectroscopy (SEFS), and surface-enhanced Raman scattering (SERS)-based biosensors. The chapters in this reprint cover a range of topics, including the interplay between SPR and lossy mode resonance, fabrication of LSPR substrates using high-throughput techniques, recent advances in various nanostructures, recent developments in the field of nanostructured Ag substrates, and innovative advances in biosensors based on DNA nanotechnology. These chapters provide a comprehensive overview of recent developments in plasmonic biosensors, making this reprint essential reading for researchers working in biosensors and plasmonics. Related Books Surface Plasmon Resonance for Biosensing Chemistry & Materials Science ... New and Improved Nanomaterials and Approaches for Optical Bio- and Immunosen

Bacterial resistance to known and currently used antibiotics represents a growing issue worldwide. It poses a major problem in the treatment of infectious diseases in general and hospital-acquired infections in particular. This is in part due to the overuse and misuse of antibiotics in past decades, which led to the selection of highly resistant bacteria and even so-called superbugs – multidrug-resistant (MDR) bacteria. Nosocomial infections, particularly, are often caused by MDR bacterial pathogens and the treatment of such infections is very complicated and extensive, often leading to various side effects, including adverse effects on the natural human microbiome. At the same time, the development of novel antibiotics is lagging with very few new ones in the pipeline. Finding viable alternatives to treat such infections may help to overcome these therapeutic issues. This publication brings novel developments in the field of bacterial resistance, mainly in the hospital settings, ade

The school of thought surrounding the urban ecosystem has increasingly become in vogue among researchers worldwide. Since half of the world’s population lives in cities, urban ecosystem services have become essential to human health and wellbeing. Rapid urban growth has forced sustainable urban developers to rethink important steps by updating and, to some degree, recreating the human–ecosystem service linkage.Assessing as well as estimating the losses of ecosystem services can denote the essential effects of urbanization and increasingly indicate where cities fall short. This second book on urban ecosystem services contains 11 thoroughly refereed contributions published within the Special Issue “Urban Ecosystem Services II: Toward a Sustainable Future”. The book addresses topics such as cultural ecosystem services, green infrastructure, urban trees, urban green spaces, and more. The contributions highlight current knowledge, gaps, and future research with the focus on building a sus

Throughout the history of materials science and physics, few topics have captured as much interest as the phenomenon of superconductivity (SPC), discovered in 1911. Perhaps this is because of the intriguing interpretation of the phenomenon, which remains controversial, or for the secret hope of being able to synthesize a material with a critical superconductive transition temperature (TC) high enough to revolutionize the sector of energy generation and transport. As a matter of fact, the search for new superconductor materials has motivated an army of scientists, in particular, after the discovery of high-TC superconductor cuprates (HTS) in the mid-80s. Besides the unremitting interest in HTS, new materials, such as intermetallic borides, iron–nickel-based superconductors, heavy fermion, and organic and superhydride systems, are still delivering outstanding achievements to the scientific community, among which includes thousands of papers and a handful of Nobel prize winners). This Sp

This Reprint presents recent advances in Artificial Intelligence (AI) and its applications within the evolving paradigms of Industry 4.0 and Industry 5.0. It brings together contributions addressing intelligent manufacturing, machine learning, computer vision, reinforcement learning, industrial automation, predictive analytics, digital transformation, and sustainable industrial systems. Particular attention is given to the integration of AI with industrial processes and decision-making systems, demonstrating its potential to enhance operational efficiency, flexibility, resilience, and sustainability. Beyond technological performance, the contributions also reflect the transition toward the human-centric, sustainable, and resilient principles associated with Industry 5.0. Collectively, the works included in this Reprint provide both theoretical and applied perspectives on the role of AI in modern industrial environments, highlighting current technological challenges, practical implementation issues, and relevant directions for future research.

The pervasive contamination of water resources by persistent and emerging pollutants—including pharmaceuticals, industrial dyes, pesticides, and heavy metals—represents one of the most critical global environmental and public health challenges. Conventional water treatment methods often prove inadequate, inefficient, or costly for achieving the complete mineralization of these complex, non-biodegradable contaminants. With pollutants posing significant environmental threats, developing environmentally benign, efficient, and cost-effective treatment technologies is paramount. Photocatalysis stands at the forefront of this shift, offering a "green chemistry" pathway for water purification. In this Reprint, we focus on cutting-edge research on the application of photocatalysis for water treatment.

This Special Issue presents a collection of articles that highlight the significant progress in the study of differential and difference equations. These contributions cover a wide range of topics, from boundary value problems and the asymptotic behavior of solutions to complex mathematical models and the application of fractional and difference equations in various scientific and engineering fields. Differential equations are a core mathematical tool for modeling dynamic systems in a diverse range of areas, such as physics, biology, economics, and engineering. Likewise, difference equations provide discrete counterparts to continuous models, which are crucial in understanding phenomena occurring in digital systems and various computational models. The papers presented in this Special Issue reflect the latest theoretical advancements and applications in these important research areas.

When dealing with diagnostic pathology related to gynecologic diseases, one may come across various scenarios. These may include benign lesions that appear malignant and vice versa. This Special Issue includes original research articles, reviews, and clinical cases that help understand the different aspects of gynecological pathology. It covers papers on endometriosis and its role in malignancies, primary and metastatic synchronous tumors, the impact of viruses and bacteria on the development of tumors in gynecology, and infertility and pregnancy-related topics. Related Books Diagnosis of Lower Genital Tract Disease Public Health & Healthcare Diagnosis, Evaluation, and Management of Diseases during Pregnancy Medicine & Pharmacology Mechanisms and Novel Therapeutic Approaches for Gynecologic Cancer Biology & Life Sciences ... Nutrition in Gynecologic Disease Biology & Life Sciences Veterinary Pathology and Veterinary Anatomy Biology & Life Sciences The recommendations have been gene

Agricultural productivity should increase to meet the growing food demand. Tillage is defined as the mechanical manipulation of agricultural soil, and it is an extremely vital part of crop production, particularly for seedbed preparation and weed control. Tillage operations are carried out using mechanical force, commonly with a tractor-drawn tool to achieve the cutting, inversion, pulverization, and disturbance of soil. A significant part of the energy (from fossil fuels) used in crop production is expended in tillage. This energy use results in greenhouse gas emissions. It is essential that we reduce energy use (hence, greenhouse gas emissions) to achieve sustainable farming practices and improve crop production and design new tillage tools or optimize the existing tools. Although the design and evaluation of tillage tools are generally carried out using analytical methods and field experiments, with recent technological improvements, computer technology has been used for the desi

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. Related Books Process–Structure–Properties in Polymer Additive Manufacturing Chemistry & Materials Science ... Polymer Materials in Additive Manufacturing: Modelling and Simulation Engineering Additive Manufacturing of Bio and Synthetic Polymers Engineering Additive Manufacturing of Pol

This book contains the contributions of the Special Issue entitled "Agents and Robots for Reliable Engineered Autonomy". The Special Issue was based on the successful first edition of the "Workshop on Agents and Robots for reliable Engineered Autonomy" (AREA 2020), co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020). The aim was to bring together researchers from autonomous agents, as well as software engineering and robotics communities, as combining knowledge from these three research areas may lead to innovative approaches that solve complex problems related to the verification and validation of autonomous robotic systems. Related Books Advances in Robotics and Autonomous Systems Engineering Feasible, Robust and Reliable Automation and Control for Autonomous Systems Engineering Advanced Autonomous Systems and Artificial Intelligence Stage Computer Science & Mathematics ... Advanced Sensing and Control Technologies for Autonomous Robots Engineering

Bioelectric sensors are unique diagnostic principles and technologies. Although they share many traits with electrochemical sensors, especially regarding the common features of instrumentation, they are focused on the measurement of the electric properties of biorecognition elements as a reflection of cellular, biological, and biomolecular functions in a rapid, very sensitive, and often non-invasive manner. Bioelectric sensors offer a plethora of options in terms both of assay targets (molecules, cells, organs, and organisms) and methodological approaches (e.g., potentiometry, impedance spectrometry, and patch-clamp electrophysiology). Irrespective of the method of choice, “bioelectric profiling” is being rapidly established as a superior concept for a number of applications, including in vitro toxicity, signal transduction, real-time medical diagnostics, environmental risk assessment, and drug development. This Special Issue is the first that is exclusively dedicated to the advanced

Mathematical models have played increasingly important roles in investigating complex water resources and water environmental problems over the past one hundred years. With the rapid development of big data technology, scientific computing is now evolving from the traditional physical-based calculations to the increasingly popular data-driven models grounded on artificial neural networks. The active research topics include the model selection, algorithm output judgement, visualization of results, useful information extraction, and the integration of physical-based and machine learning approaches. This Reprint focuses on mathematical modelling and numerical simulations in the fields of environmental hydraulics and water resource engineering, aiming to share the latest research endeavours, technological progress, and case studies from around the world. It includes the integration and application of artificial intelligence technologies into the conventional computational modelling exercises, addressing the difficulties of small datasets, interconnected systems, and extreme environmental changes.

This Reprint, titled “Lithium-Ion Batteries: Design, Preparation, Reaction Mechanisms of Electrode Materials, and Battery Life Evaluation,” collates cutting-edge research focused on overcoming the performance limitations of current energy storage systems. This collection addresses critical challenges in the field, from the development of next-generation silicon and composite anodes to the engineering of high-capacity cathodes and stable interfacial architectures. A significant emphasis is placed on elucidating the complex reaction mechanisms and degradation pathways that govern cell performance and longevity. Advanced preparation techniques and innovative electrode design strategies are explored to enhance ionic conductivity, mechanical stability, and cycling durability. Furthermore, this Reprint highlights the application of sophisticated in situ and operando characterization methods, alongside robust modeling frameworks, for precise state-of-health monitoring and accurate battery life prediction. By integrating fundamental material insights with practical engineering solutions, this compilation serves as a vital resource for developing more efficient, reliable, and commercially viable lithium-ion batteries for the future of electrified transportation and grid storage.

The security technology of new information technologies in scenarios such as smart life, smart cities, smart networks, etc., and the promotion and enhancement of the development of network security are mainly included here. New-generation network attacks and defense technology, new secure cryptographic algorithms, data security and privacy protection technology, network and communication security protocol, security analysis, and the evaluation of new application scenarios are discussed.

This reprint is a collection of 11 peer-reviewed articles that focus on the biology and ecology of eels. This reprint addresses the current advances and challenges in eel studies, including both the European eel, Anguilla anguilla, and the Japanese eel, Anguilla japonica. The reprint comprises a high diversity of selected topics on the interface between fundamental science and the management of eel resources. Topics range from genomics and environmental DNA used to detect the presence of eels and ascertain eel biomass to observations of eel abundance based on catches. Other topics addressed include the study of the swimbladder function, assessing migration patterns in estuaries, eel reproduction, the effect of water pollution, otolith studies, and the optimization of the design of passage facilities for juvenile European eel (Anguilla anguilla). Related Books Fishes and Crustaceans Biology & Life Sciences Advances in Aquaculture Ecology Research Biology & Life Sciences Ecology of Ma

Polymer science represents a domain of great interest due to the possible applications of polymers in areas that range from the most common to those that are high-tech. To achieve this, synthesis and characterization techniques, as well as the correlation of the chemical structure and morphology with their properties, is critical. From the perspective of synthesis, there are two strategies for obtaining polymers: step-growth (polyaddition, polycondensation, and reversible-deactivation radical polymerization) and chain polymerization (radical polymerization, coordinative polymerization, and cationic and anionic polymerization).The advancement of polymer applications continues to lead to the expansion of the synthesis and characterization techniques that can be facilitated by novel, smart, multifunctional polymers. There is a correlation between structure, composition, morphology, and properties of applications that leads to substantial benefits for specific applications.This Special I

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. Related Books Agricultural Landscape Stability and Sustainable Land Management Environmental & Earth Sciences Sustainable Land Management

The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The sel

Functional polymers show unique physical and chemical properties, which can manifest as dynamic responses to external stimuli such as radiation, temperature, chemical reaction, external force, and magnetic and electric fields. Recent advances in the fabrication techniques have enabled different types of polymer systems to be utilized in a wide range of potential applications in smart structures and systems, including structural health monitoring, anti‐vibration, and actuators. The progress in these integrated smart structures requires the implementation of finite element modelling using a multiphysics approach in various computational platforms. This book presents finite element methods applied in modeling of the smart structures and materials with particular emphasis on hydrogels, metamaterials, 3D-printed and anti-vibration constructs, and fibers. Related Books Functional Polymers in Sensors and Actuators: Fabrication and Analysis Chemistry & Materials Science ... Smart and Functi

In this Special Issue, we focus on recent advances in nanotechnology-based drug delivery systems. Nanocarriers and hydrogels have emerged as versatile platforms for enhancing the solubility, stability, bioavailability, and controlled release of active pharmaceutical ingredients, while improving their therapeutic performance and minimizing adverse effects. This Special Issue highlights innovative strategies for the design, preparation, characterization, and application of lipid-based, polymeric, inorganic, and plant-derived nanoparticles, as well as hydrogel-based delivery systems, with particular emphasis on green production technologies and the nanoencapsulation of biological macromolecules.

Water is one of the essential elements sustaining human life and security. In recent years, the emergence and intensification of extreme climatic events have increasingly compromised water availability and quality, profoundly affecting people’s well-being. Periods of drought have intensified water scarcity, while, conversely, rainfall has become more intense and frequent in various regions around the world. Within this evolving climatic context, the need to evaluate, forecast, and mitigate the occurrence and effects of extreme events has become a pressing priority—not only as a subject of scientific investigation but also as a matter of great importance for policymakers and decision-makers seeking to prevent or reduce their inherent impacts. Therefore, this reprint focuses on a range of interrelated topics, including the influence of climate change on water runoff processes, the projection of flash-flood susceptibility under different climate scenarios, and the variability of maximum river discharges in response to changing climatic conditions. It also addresses the impacts of climate change on the frequency and severity of droughts, the challenges of assessing risk and uncertainty in detecting drought events, and the need for both quantitative and qualitative analyses of extreme hydrological occurrences. Furthermore, it emphasizes the importance of evaluating hazards and risks in drought assessment, integrating environmental economics into flood and drought risk management, and modeling the complex relationships between climatic variables and hydrological processes.

This Special Issue focuses on the friction characteristics of bearings, carefully compiling 16 cutting-edge research studies. Through a research path combining experiments and simulations, this Special Issue explores the lubrication mechanism, performance optimization, and fault diagnosis of bearings under different working conditions. The papers cover a wide range of dimensions, from theoretical exploration to experimental verification, showcasing the latest developments in the field of bearing lubrication. The research covers various types, such as angular contact ball bearings, gas hydrostatic thrust bearings, cylindrical roller bearings, etc. Through advanced methods such as computational fluid dynamics, artificial neural networks, and mathematical models, the influence of nozzle position, biomimetic composite cavity structure, unbalanced estimation, and other factors on lubricant distribution, load-bearing capacity, and dynamic behavior was analyzed. In addition, attention was also paid to the power loss under oil lubrication, the improvement in friction characteristics and fatigue life by carbon nitrogen co-infiltration treatment, and the lubrication challenges of bearings under special conditions such as vacuum environments and ultra-low temperatures. These research results not only provide a scientific basis for bearing lubrication design but also contribute important findings that promote technological progress and industrial upgrades in related industries. This Special Issue aims to provide new insights and reflections for both the academic and industrial communities.