Directory of Open Access Books (DOAB)
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Inteligencia artificial generativa, paradigmas en crisis y el futuro epistémico de la investigación
No full textPublishedLa investigación científica actual está experimentando una transformación radical de su estructura, caracterizada por la progresiva influencia de tecnologías cognitivas avanzadas, particularmente la inteligencia artificial generativa, en cada etapa del ciclo del conocimiento. Este hecho reconfigura el régimen cognitivo y la orientación paradigmática tradicional, como el positivismo empírico, el pospositivismo, el constructivismo o la crítica sociopolítica, los cuales son conceptualmente inadecuados para un fenómeno caracterizado por la emergencia, la no linealidad, la interdependencia y la coproducción distribuida del conocimiento. El objetivo es explorar las tensiones ontológicas, epistemológicas y metodológicas que surgen de la interacción inteligencia artificial-humano en la investigación. Se llevó a cabo una revisión crítica de la literatura científica en bases de datos de especialización. Los registros fueron analizados utilizando codificación temática y análisis hermenéutico-interpretativo, realizando análisis cíclicos para validar intersubjetivamente la coherencia del trabajo teórico y analítico. Cambios conceptuales relacionados, como la redefinición de la autoría científica, la trazabilidad de la investigación, las heurísticas epistémicas en un contexto de inteligencia artificial generativa. Como resultado del estudio, se plantean una gobernanza epistémica, arquitecturas normativas institucionales flexibles y se fomenta el cultivo de una cooperación reflexiva, ética y justa entre humanos e inteligencias de máquina. Asimismo, este trabajo se posiciona como una contribución teórica destinada a informar la planificación y desarrollo de futuras agendas de investigación, políticas científicas y estrategias educativas dentro de un contexto académico cada vez más mediado por la inteligencia artificial generativa
Sustainable Management and Regulation of Agricultural Water Resources in the Context of Global Climate Change
No full textThis Special Issue aims to address challenges by exploring historical and future trends in crop evapotranspiration and irrigation requirements, evaluating the effectiveness of various agronomic and policy measures and proposing sustainable pathways for adapting to climate change in the future. The goal is to enhance our understanding of the risks and opportunities associated with agricultural water management under climate change and to provide policymakers with the knowledge needed to formulate effective strategies for reducing the vulnerability of the agricultural sector and increasing its resilience
AI and Data-Driven Advancements in Industry 4.0
No full textAI and Data-Driven Advancements in Industry 4.0 reprint presents a comprehensive collection of innovative research articles that have advanced our understanding of artificial intelligence applications in industrial environments. This Topic Issue features a variety of contributions, ranging from intelligent sensor software that promotes energy-efficient decision-making in the welding of steel reinforcement to advanced prediction models for ultrasonic vibration-assisted milling performance. In addition, state-of-the-art deep learning techniques for detecting scratch defects on metal surfaces are featured alongside novel methods for remote monitoring of central nervous system biomarkers using wearable sensors. The reprint also includes contributions on precise robot arm attitude estimation through multi-view imaging and super-resolution keypoint detection, as well as pioneering approaches in medical diagnostics, such as EEG-based Parkinson’s disease classification and enhanced retinal vessel segmentation. Furthermore, emerging themes of blockchain integration and smart contract vulnerability detection highlight the intersection of AI with secure data management, demonstrating how decentralized technologies can support robust, trustworthy systems. Collectively, these articles illustrate the transformative impact of data-centric strategies and deep learning in modern manufacturing, healthcare, and robotics, offering a retrospective view of cutting-edge innovations in Industry 4.0
Editorial Board Members’ Collection Series
No full textThe Special Issue “Editorial Board Members' Collection Series: Gastrointestinal and Hepatic Diseases” is a collection of papers from our Editorial Board Members and researchers invited by them. The aim is to provide a venue for networking and communication between the journal Medicina and scholars in the field of gastrointestinal and hepatic diseases
Studies on Biotic and Abiotic Stress Responses of Horticultural Plants
No full textPlants face constant challenges from biotic and abiotic stresses, which trigger complex defense mechanisms. This Reprint focuses on research related to biotic and abiotic stresses. Under biotic stress, plants employ pattern-triggered immunity and effector-triggered immunity to recognize and counteract invaders. Key responses include the production of reactive oxygen species, phytohormone signaling, and the synthesis of antimicrobial compounds. Under abiotic stress, the following are involved: ROS mitigation by antioxidants; protein and membrane stabilization by heat shock proteins (HSPs) and cold-responsive genes (COR), and osmoprotectants; and the upregulation of aquaporins. Hormonal pathways, particularly abscisic acid (ABA), play central roles in coordinating stress responses and regulating stomatal closure and gene expression. Understanding these mechanisms is critical for developing stress-resistant crops through genetic engineering or breeding, ensuring food security under changing environmental pressures
La novella dal 1890 al 1929: tipologie, apparati editoriali, modelli di lettura
No full textIs there an Italian theory of short narrative forms? How does the publication of short fiction in newspapers and magazines shape its formal development? And how can we trace the historical evolution from the novella verista to the modernist one, and from there to the expansive prose model that emerged in 1930s Italy? This book seeks to address these questions from both a diachronic and a typological perspective. It explores several key issues: the formal configuration of the modern Italian novella and the aesthetic discourse surrounding it; the interplay between literary creativity and publishing venues; and the shift in narrative balance from the objective omniscience of the nineteenth century to the limited, subjective viewpoints that define early twentieth-century storytelling
Advances in Synthesis, Characterization, and Application of Thin Films
No full textWe are delighted to present the Special Issue titled "Advances in Synthesis, Characterization, and Application of Thin Films" in the Crystals journal. This collection highlights recent innovations and applications of thin films across diverse domains. The included papers provide both experimental and theoretical insights into thin film deposition techniques, including synthesis methods, structural properties, and their potential applications in various fields such as optoelectronics, energy conversion, and sensors
Advances in Computer Vision and Deep Learning and Its Applications
No full textThe aim of this Reprint is to immerse the reader in the latest findings regarding image-processing technology. Currently, image-processing technology is at the core of artificial intelligence, with the aim being to design computer programs that can achieve or mimic human-like intelligence in terms of perception and inference in the real world. With the rapid development of visual sensors and imaging technologies, image analysis and pattern recognition techniques have been extensively applied in various artificial-intelligence-related fields, ranging from industry and agriculture to surveillance, social security, and beyond. Up to now, image-processing technology based on deep learning has rapidly developed and become the most successful applied intelligent technology. Pattern recognition is an important research field in image processing and includes image preprocessing, feature extraction and selection, classifier design, and classification decisions. This Reprint covers advancements in ten research directions: computer vision; feature extraction and image selection; pattern recognition for image-processing techniques; image processing in intelligent transportation; neural networks; machine learning and deep learning; biomedical image processing and recognition; image processing for intelligent surveillance; deep learning for image processing, robotics, and unmanned systems; and AI-based image processing, understanding, recognition, compression, and reconstruction
Werk en Welzijn
No full textDit boek beantwoordt de vraag of werk gelukkig maakt en aan welke aspecten van werk mensen het meeste geluk ontlenen. Dit is een belangrijke vraag omdat werk een groot deel van ons leven uitmaakt. We beargumenteren waarom het streven naar geluk belangrijk is en laten zien dat werkenden gelukkiger zijn dan werklozen en arbeidsongeschikten en dat werk dus inderdaad gelukkig maakt. Daarnaast laten we zien dat het niveau van geluk tussen werkenden verschilt. De beloning speelt daarbij een rol, maar dat is zeker niet het enige. Naast het loon is de vormgeving van het werk belangrijk. Werk met een hoge mate van autonomie en inspraak, dat gebruikmaakt van de kennis en vaardigheden van de werkende en waarin er onderling goede verhoudingen zijn, maakt het meest gelukkig. Ook de ervaren zinvolheid van het werk moet zeker niet over het hoofd worden gezien. Wel moetervoor worden gewaakt dat het werk niet te belastend wordt en resulteert in een burn-out. Dit boek biedt handvatten voor de overheid, de werkgevers, de vakbonden en werkenden voor de vormgeving van het werk
Recent Advance and Application of Wearable Inertial Sensors in Motion Analysis
No full textThe widespread use of Inertial Measurement Units (IMUs) has transformed human motion analysis, offering key advantages such as low cost, ease of use, broad acquisition range, and unobtrusiveness. IMUs are especially valuable in ecological settings, enabling applications in clinical outcome assessment (e.g., tele-rehabilitation), sports performance and injury prevention, and human–robot interaction. Recent advancements in miniaturization, performance, and integration have expanded their potential, especially when combined with artificial intelligence techniques like machine learning and deep learning. The Special Issue, titled “Recent Advances and Applications of Wearable Inertial Sensors in Motion Analysis”, features 18 high-quality publications—14 original research articles, 2 systematic reviews, and 2 communications—exploring the novel uses of wearable IMUs. A strong focus is placed on gait analysis, with contributions addressing trunk acceleration patterns, gait variability, fall risk assessment, and spatio-temporal parameter estimation, even in patients using assistive devices. IMUs also support accurate foot trajectory reconstruction and terrain identification. Other studies examine maternal gait during labor, cardiovascular stress during walking, and AI-enhanced gait phase prediction. Beyond gait, IMUs are used to analyze upper and lower body movements, post-COVID return to running, balance metrics via smartwatches, magnetic interference detection, and activity recognition through gesture analysis. Collectively, these works significantly advance wearable motion analysis research