Perpustakaan Digital

Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-

The world today confronts troubling trends that impact food security. The first trend is an increase in the world’s population: the United Nations projects that the world’s population will rise to about 10 billion by 2050, and the number of countries that are food importers is rising. The second trend is that the world’s food supply will be pressured by the twin effects of environmental degradation and climate change. Climate change has direct impacts on agriculture and environmental degradation, such as sterile agricultural land, depleted water tables, and falling grain yields, threatens food security for hundreds of millions of people. Climate-induced drought reduces crop production and lowers yields, while warmer temperatures lead to a higher incidence of plant, livestock, and fish diseases. Climate change is dislocating production in some regions, and this trend is expected to increase as the century progresses. The third trend is a rise in populism and nationalism, which has increased trade protectionism. The fourth trend is an increase in the number of weak and at-risk states, which are poorly equipped to address their food insecurity and, therefore, face political instability. The purpose of this Reprint is to examine global food security challenges through a number of contributions that analyze the primary food security challenges, strategies for mitigation of food insecurity, sources of resilience, and prospects for success.

Low-power wide-area networks (LPWANs) represent a novel communication paradigm that will replace or complement traditional cellular and short-range wireless technologies in several applications. In relation to the Internet of Things (IoT), LPWANs are expected to offer energy-efficient connectivity to a high number of low-power devices, distributed over very large geographical areas. In this context, LoRa is a promising LPWAN technology for inter-connecting billions of low-power IoT nodes. We envision that an increasing number of IoT nodes will be deployed and connected to the Internet via LoRa to enable various innovative applications in several domains, including smart cities, smart monitoring, healthcare, and factory automation. We face great practical challenges and research opportunities in the design, implementation, and evaluation of LoRa technology and its applications and system development. This Special Issue is focused on LPWAN technologies, particularly LoRa, addressing (but not limited to) the following topics: Experimental deployments and solutions for mobile scenarios or situations where devices are deployed in a wide area; Machine learning techniques for the configuration and management of LoRa-based communications; Novel physical layer design and optimization for LoRa; Novel link layer and network layer design and implementation for LoRa; Co-existence and co-operation of LoRa with other wireless technologies in ISM bands; Security aspects of LoRa.

The coronavirus disease, 2019 (COVID-19), has led to the worst worldwide healthcare outbreak of the current century. Our knowledge on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 virus), the agent causing COVID-19, has dramatically increased in recent years. Further, healthcare systems are facing another outbreak due to COVID-19—long COVID or post-COVID-19 syndrome—which is the presence of long-lasting symptoms after an acute SARS-CoV-2 infection. The development of long-lasting post-COVID-19 symptoms has been called long COVID or a post-COVID-19 condition. To date, more than 100 potential long-lasting post-COVID symptoms have been potentially attributed to SARS-CoV-2. This Special Issue of Biomedicines, entitled "Latest Research in Post-COVID-19 (long COVID-19): Pathological and Treatment Studies of Sequelae and Complications”, has focused on potential gaps in our knowledge regarding the identification, timeframe, mechanisms, and treatment strategies for the management of the post-COVID-19 condition. The fourteen published papers in this Special Issue cover the following topics: 1, treatment of the post-COVID-19 condition; 2, neonatal repercussion of the SARS-CoV-2 infection; 3, risk factors of severe COVID-19; 4, phenotyping of post-COVID-19 pain; and 5, others.

This Special Issue aimed to compile original and cutting-edge research works in the fields of plasma process, polymerization, synthesis, characterization, treatment, modification, manufacturing, and applications of functional plasma-processed polymers. Related Books Advances in Plasma Processes for Polymers Biology & Life Sciences Recent Advances in Polymer Processing Engineering Advances in the Processing and Application of Polymer and Its Composites II Chemistry & Materials Science Recent Advances in Atmospheric-Pressure Plasma Technology Medicine & Pharmacology ... Plasmas Processes Applied on Metals and Alloys 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 Distribution Further Information: Book Series Reprints Book/Chapter Processing Charges Pay an Invoice Open Acce

In recent years, the industry has started to use parts printed by powder-based laser additive manufacturing (LAM) when precision and good mechanical properties are required. Applications can be found in the aerospace, automotive, and medical sectors. However, the powder materials available are often inadequate for contemporary processing tasks, and often generate process instabilities as well as porosities and defects in the resulting parts. This Special Issue, “New Frontiers in Materials Design for Laser Additive Manufacturing”, focuses on advances in material design and the development of laser additive manufacturing. Of particular interest are original papers dealing with metal and polymer powders for laser powder bed fusion or directed energy deposition. In this Special Issue, we are especially interested in answering the following questions: How can laser process parameters and material properties be adapted to the LAM process via the matrix modification (e.g., alloying, doping

At present, more and more procedures and technologies used to discover and characterize new materials are available, including advanced characterization techniques.This Special Issue covers a wide range of topics about obtaining and characterizing new materials, from the nano to macro scales, including for new alloys, ceramics, composites, biomaterials, and polymers and the procedures and technologies used to enhance their structure, properties, and functions. To select new materials for future use, we must first understand their structure and their characteristics using modern techniques such as microscopy (SEM, TEM, AFM, STM, etc.), spectroscopy (EDX, XRD, XRF, FTIR, XPS, etc.), and mechanical tests (tensile, hardness, elastic modulus, toughness, etc.) and their behaviors (in vitro and in vivo; corrosion; and thermal—DSC, STA, DMA, magnetic properties, and biocompatibility), among many others. Related Books Obtaining and Characterization of New Materials, Volume IV Chemistry & Mat

This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G

Physical separation remains one of the most fundamental and widely applied approaches in mineral processing and resource recovery, underpinning the efficient exploitation of primary ores, secondary resources, and industrial wastes. From early gravity-based methods to modern magnetic, electric, and sensor-based technologies, physical separation techniques have continuously evolved in response to increasing resource complexity, declining ore grades, and growing environmental constraints. Advances in material characterization, process modeling, and equipment design have significantly expanded the applicability and performance of physical separation, enabling more selective, energy-efficient, and environmentally responsible processing routes. In the context of sustainable development, physical separation plays a critical role in improving resource utilization, reducing reliance on chemical reagents, and lowering energy consumption across mineral and metallurgical value chains. Ongoing research continues to refine separation theories, enhance efficiency at fine and ultrafine particle sizes, and integrate downstream processing technologies. This Special Issue focuses on the recent scientific and technological developments in physical separation, encompassing both theoretical advances and practical applications. Topics of interest include gravity separation mechanisms and applications, magnetic separation theory and equipment development, electric separation technologies, particle classification, size-based separation, and emerging and hybrid physical separation methods.

Humans co-exist with animals that are part of our ecosystem, although they are not always noticeable due to their small size. In addition to the animals naturally present in the environment, a great number of small mammals are commonly kept as pets, such as dogs, cats, rodents, hedgehogs, and rabbits, not to mention other exotic animals such as birds, reptiles, amphibians, and fish. This close relationship explains why some parasitic diseases are also zoonotic, infecting humans and even causing serious illness. Zoonoses can also lead to significant economic losses due to decreased productivity and increased healthcare costs. Although recent years have seen progress in this field, many aspects remain unknown. The success of the One Health concept now requires breaking down the interdisciplinary barriers that still separate human and veterinary medicine from ecological, evolutionary, and environmental sciences. For these reasons, it is fundamental to study and control parasitic diseases in small animals to improve global public health. Consequently, the open access journal Animals (EISSN 2076-2615) ran a Special Issue entitled “Parasites and Parasitic Diseases in Small Animals” with Angela M Garcia-Sanchez and Rocío Callejón as Guest Editors. This Special Issue contains original papers related to this broad topic that embraces a wide variety of animal hosts and parasites, such as arthropods, protozoans, and helminths, as well as research areas like epidemiology, pathogenesis, treatment resistance, control measures, vaccination, and immunology.

The Standard Model of particle physics (SM) was formulated roughly fifty years ago; and with discovery of the Higgs boson at CERN in 2012, it became complete. Yet, despite the SM’s enormous body of successes, it still presents an array of unsolved problems. Primary amongst them is the following question: Can the SM explain the origin of nuclear size masses? This is the puzzle of emergent hadron mass (EHM), whose solution is supposed to lie within quantum chromodynamics (QCD). EHM could provide the unifying explanation for all the SM’s remarkable nonperturbative phenomena, including confinement and absolute stability of the proton, the proton’s mass and radii, the lepton-like scale of the pion mass and its hadron-like radius, and so much more, running up to the character and composition of dense astrophysical objects. As a source of mass, EHM interferes constructively with a range of Higgs boson effects. For instance, such feedback sets the kaon apart from the pion and separates heavy quark systems from those containing only light quarks. Presented with such a plethora of interrelated phenomena, whose implications reach throughout Nature, the World has responded with huge investments of personnel and resources in strong interaction experiment and theory. Reflecting the scope of associated endeavours, this volume collects a diverse range of perspectives on the problem of EHM, its observable manifestations, and the approaches and tools that are today being employed to deliver an insightful understanding and, perhaps, finally, a solution.

This collection of essays addresses a range of topics probing the interface between religious practice and the COVID-19 pandemic. Significant attention is given to religious and cultural debates over health care policy as well as vaccination policy development in the United States, but contributions from Africa, Asia, South America, and Europe are included as well.  In addition to the North American perspectives (with an emphasis on the white evangelical Christian encounter with public health regulation), the volume highlights voices from Islamic Nigeria and southern Africa, traditional Confucian culture, Greek Orthodoxy, Catholic social teaching, as well as the insights of Haṭha yoga from the Hindu tradition. Related Books The Crisis of Religious Freedom in the Age of COVID-19 Pandemic Biology & Life Sciences ... COVID-19: Impact on Public Health and Healthcare Public Health & Healthcare ... Worship in a Time of Pandemic Biology & Life Sciences ... Encyclopedia of COVID-19 Social S

This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems. Related Books Intelligent Vehicles Engineering Advanced Sensing and Control for Connected and Automated Vehicles Engineering Integrated Intelligent Vehicle Dynamics and Control Engineering Recent Advance in Intelligent Vehicle Engineering Advanced Sensing and Safety Control for Connected and Automated Vehicles Engineering The recommendations have been generated using an AI system. About: About MDPI Books Advisory Board Legal Information: MDPI Privacy Policy T

Advanced and novel thermal technologies, such as ohmic heating, dielectric heating (e.g., microwave heating and radio frequency heating), and inductive heating, have been developed to improve the effectiveness of heat processing whilst guaranteeing food safety and eliminating undesirable impacts on the organoleptic and nutritional properties of foods. Novel thermal technologies rely on heat generation directly inside foods, which has implications for improving the overall energy efficiency of the heating process itself. The use of novel thermal technologies is dependent on the complexity and inherent properties of the food materials of interest (e.g., thermal conductivity, electrical resistance, water content, pH, rheological properties, food porosity, and presence of particulates). Moreover, there is a need to address the combined use of thermal processing with emerging technologies such as pulsed electric fields, high hydrostatic pressure, and ultrasound to complement the conventio

This Special Issue is devoted to some serious problems that the Fractional Calculus (FC) is currently confronted with and aims at providing some answers to the questions like “What are the fractional integrals and derivatives?”, “What are their decisive mathematical properties?”, “What fractional operators make sense in applications and why?’’, etc. In particular, the “new fractional derivatives and integrals” and the models with these fractional order operators are critically addressed. The Special Issue contains both the surveys and the research contributions. A part of the articles deals with foundations of FC that are considered from the viewpoints of the pure and applied mathematics, and the system theory. Another part of the Special issue addresses the applications of the FC operators and the fractional differential equations. Several articles devoted to the numerical treatment of the FC operators and the fractional differential equations complete the Special Issue. Related Bo

In recent years, substantial progress has been made in advancing our understanding of neurodegenerative diseases. Even so, the precise pathogenetic mechanisms underlying their onset and progression remain incompletely understood. This applies even to the most prevalent neurodegenerative disorders, including Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and multiple system atrophy (MSA), all of which have been recognized and diagnosed for decades. At the same time, brain trauma, particularly in the form of traumatic brain injury (TBI) and chronic traumatic encephalopathy (CTE), has become a major focus of scientific interest. These conditions are increasingly recognized in the general population, whether due to occupational exposure, such as among military personnel and contact sport athletes, or through other circumstances involving repetitive head injury. In addition, a growing body of evidence suggests links between TBI and CTE and several established neurodegenerative diseases. This Special Issue was conceived to explore this relationship more closely, focusing on how the mechanical stress and shear forces generated by brain impact may induce molecular and biochemical alterations that ultimately contribute to neurodegeneration, with particular emphasis on Alzheimer’s disease. The overarching aim is therefore to assess and describe a possible causal relationship between TBI and CTE and the later development of Alzheimer’s disease.

This Reprint comprises 25 papers covering various aspects of corporate governance, financial performance, and sustainability practices. Topics include the wealth effects of mergers and acquisitions (M&As), particularly the performance differences between cash- and stock-based transactions and the moderating influence of horizontal M&As on credit risk in the banking sector. The included studies also explore the implications of CEO characteristics for investment efficiency, focusing on the influence of political connections and leadership styles, and investigate the relationship between risk committee characteristics, agency costs, and financial performance, with a particular emphasis on financial firms. Further discussions address the role of sustainability report assurance and corporate governance in enhancing environmental, social, and governance (ESG) scores and highlight the importance of governance structures, such as gender-diverse boards, for corporate outcomes. These studies underscore the need for effective risk communication and strategic decision-making, especially in the context of economic uncertainty and regulatory changes. Collectively, they provide valuable insights into the evolving landscape of corporate finance and governance, offering practical recommendations for enhancing corporate practices and financial performance.

The field of vascular interventional radiology has witnessed remarkable advancements, transforming the landscape of patient care for both vascular and non-vascular pathologies. Through minimally invasive techniques, we can now offer therapeutic alternatives with reduced complications to patients who are not eligible for conventional treatments. With the emergence of personalized therapies tailored to specific pathologies, disease stages, and patient characteristics, we find ourselves at the forefront of a new era in medicine where treatments are uniquely tailored to each individual. This Special Issue of the Journal of Personalized Medicine features a comprehensive collection of 16 articles, primarily focusing on embolization, a major theme in vascular interventional radiology. Embolization techniques have revolutionized the field, providing effective treatment options for various conditions. Within this issue, we delve into various aspects of embolization, including the embolization of the prostatic artery, splenic trauma, polycystic liver disease, soft tissue hematomas, pulmonary arteriovenous malformation, gastrointestinal bleeding, and even emerging themes such as musculoskeletal embolization. These articles showcase the breadth and depth of research in the field, offering insights into the latest advancements and personalized approaches in embolization therapies.

This Special Issue deals with the field of intelligent soft sensors that enable the online estimation of nonmeasurable process variables. Soft sensors or virtual sensors are common names for software algorithms in which multiple measurements are processed together. Typically, soft sensors are based on control theory and are also referred to as state observers. There may be dozens or even hundreds of measurements from hard sensors (big data). The interaction of signals can be used to compute new quantities that cannot be measured directly online or are difficult and expensive to measure. Soft sensors are particularly useful in data fusion, combining measurements of different characteristics and dynamics. They can be used for fault diagnosis (self-analysis, self-calibration, and self-maintenance) as well as for control applications. Well-known software algorithms that can be seen as soft sensors include, for example, Kalman filters. More recent implementations of soft sensors use neura

This book attempts to provide a platform for researchers, policy makers, and engineers to share their latest thoughts and findings on groundwater quality and public health, as well as novel methods dealing with groundwater pollution. The chapters published in this book include the latest research results by world-renowned researchers, whose findings can benefit researchers, engineers, policy makers, and government officials in future groundwater quality research and policy making. Related Books Soil and Groundwater Quality and Resources Assessment Environmental & Earth Sciences Groundwater Pollution Control and Groundwater Management Environmental & Earth Sciences Soil and Groundwater Quality and Resources Assessment, 2nd Edition Environmental & Earth Sciences Drinking Water Quality and Human Health Public Health & Healthcare Groundwater Quality and Contamination at Regional Scales Environmental & Earth Sciences The recommendations have been generated using an AI system. About: A

Despite tremendous advances in our understanding of marine mammals over the past several decades, numerous unanswered questions remain. These include fundamental questions in every biological discipline as well as other areas of science, including basic and applied chemistry and physics. Current studies of marine mammals reflect major improvements in technology as well as equally large changes in the ocean environment. Contributions for this Special Issue were invited in all areas of marine mammal research, especially those focusing on one (or both) of two themes: changing technological advances and changes in ocean habitats affecting marine mammals (including but not limited to changes in climate/temperature; ocean acidification; noise, plastic, or chemical pollution; vessel traffic and ship strikes; pathogenic viruses and microbes; trophic and salinity changes; fisheries impacts; habitat destruction; and related topics). The five articles published in this Special Issue focus on di

This book is a comprehensive set of articles reflecting the latest advances and developments in mathematical modeling and the design of electrical machines for different applications. The main models discussed are based on the: i) Maxwell–Fourier method (i.e., the formal resolution of Maxwell’s equations by using the separation of variables method and the Fourier’s series in 2-D or 3-D with a quasi-Cartesian or polar coordinate system); ii) electrical, thermal and magnetic equivalent circuit; iii) hybrid model. In these different papers, the numerical method and the experimental tests have been used as comparisons or validations. Related Books Magnetic Material Modelling of Electrical Machines Engineering Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine Engineering Mathematical Modelling and Numerical Analysis in Electrical Engineering Computer Science & Mathematics Mathematical Modelling and Numerical Analysis in Electrical Engineering, 2nd E

This edited collection brings together contemporary research capturing the rapid transformation of educational technology in the era of artificial intelligence, immersive learning, and large-scale digital platforms. The chapters show that EdTech has moved beyond merely digitizing teaching materials and delivering content online, increasingly focusing on how learning can be personalized, predicted, supported, and experienced in more intelligent, engaging, and scalable ways. A major theme is the growing role of AI and machine learning in learning and assessment. Chapters explore how learner data can predict performance, identify students at risk, and provide early interventions. Others focus on intelligent tutoring systems, conversational agents, and automated assessment, including using large language models to generate feedback and support self-explanation. These contributions show that AI is reshaping educators’ work by providing decision-support, feedback tools, and new forms of interaction. Another theme is game-based and immersive pedagogies to improve motivation and engagement. Chapters on serious games, gamification, and immersive virtual reality demonstrate how learning can occur in interactive environments while highlighting that effective learning depends on careful design aligned with educational goals. The final theme examines education platforms and smart systems, including collaborative environments, e-mentoring, cloud platforms, and sustainable infrastructures supporting integrated learning ecosystems.

With the development of bioinformatics and the research on bioactive phytochemicals, network pharmacology and molecular docking have been widely applied to study the molecular mechanism of phytochemicals in treating different diseases. In the past two decades, research on bioactive phytochemicals has shifted from the isolation and validation of their biological activity in in vitro and in vivo experiments to the molecular mechanisms of bioactive phytochemicals against various diseases. Previous research studies have found that many plant extracts can potentially treat different diseases. However, the specific bioactive phytochemicals in these extracts and molecular mechanisms are still unknown. Network pharmacology is an advantageous research strategy for exploring the molecular mechanisms of bioactive phytochemicals in treating various diseases, as it can scientifically analyze the molecular mechanisms involved in treatments using certain compounds, including protein targets, signaling pathways, and biological processes. This approach can be employed to predict the curing targets of disease through big data based on the structural similarity of phytochemicals, and the prediction can be verified via molecular docking. This reprint gathers the latest research findings (including 1 editorial, 6 research papers, and 2 reviews) on the molecular mechanism of bioactive phytochemicals against various diseases through network pharmacology combined with molecular docking.