Search Results (12,606)

The advancement of onshore and offshore wind turbines depends on the experimental validation of new technologies, novel component designs, and innovative concepts. However, full-scale models are typically very expensive, have limited functionality, and are difficult to adapt to diverse research needs. To address this shortcoming, this article presents the design of a low-cost, modular 3D-printed small prototype of a wind turbine. It includes a multi-hollow platform for marine environments configuration and stabilization, the turbine tower, and three blades with active pitch control, not always included in wind turbine prototypes. The modular tower design allows for easy height extensions, while the rotor incorporates custom blades optimized for the prototype geometry and experimental setup. Tests were conducted to evaluate the system’s operational response and verify the proper functioning of the assembled components at various wind speeds and blade pitch angles. The results confirm that the rotor speed with the prototype’s onshore configuration is highly pitch-dependent, reaching a maximum efficiency of approximately 5°. The tower displacement, measured with an IMU, remained within a narrow range, oscillating around 2° and reaching up to 4° at higher wind speeds due to elastic deflections of the PLA structure. These results, consistent with the prototype scale, validate its usefulness in capturing essential aerodynamic and structural behaviors of the wind turbine. They also demonstrate its relevance as a new tool for experimental studies of wind turbines and open up new research, validation, and control possibilities not considered in previous developments by incorporating blade pitch control. Full article

Cyberbullying or cyberharrassment is a form of harassment or bullying that is carried out through electronic technologies and devices. The article aims to explore the structure of scholarly networks identified through a bibliometric analysis of research on adolescence within the context of postdigital society. The study focuses on academic output linked to school, family and social environments, using data retrieved from the Web of Science database. Seven hundred documents were obtained, and the networks generated, connections between the different nodes, were analyzed to determine in the results the existence of prominent authors and institutions in the field of cyberbullying. The analysis, conducted using VOSviewer software 1.6.20, reveals that cyberbullying constitutes a growing and significant field of study. It highlights numerous opportunities for advancing research focused on intervention strategies and policy development aimed at addressing this issue. Research reveals that Psychology and Education are key areas, with the United States and Spain as leaders, and prominent authors such as Rosario Ortega and Heidi Vandebosch. Three historical phases are identified: emergence, expansion, and urgency. The findings make it possible to detect trends, research gaps, and to guide educators, policymakers, and technology platforms in the field of digital and media literacy. Full article

Exploring the factors and mechanisms influencing farmers’ participation behavior in formal financial markets is of great significance for improving the rural financial service system and comprehensively promoting the development of rural inclusive finance. Based on the data from the 2020 China Rural Revitalization Survey (CRRS), this paper explores the impact and mechanism of digital skills on farmers’ participation in formal financial markets through the theories of feasibility information, social capital, and technology acceptance. The research results show that digital skills significantly promote farmers’ likelihood and extent of participation in formal financial markets, including stocks, bonds, and wealth management products. This is because digital skills enhance farmers’ information acquisition and online transaction capabilities and broaden their social networks. Heterogeneity analysis reveals that digital skills exert a greater influence on both the likelihood and extent of participation of farmers with lower educational level, farmers in the middle-aged and elderly cohorts, and farmers with low income in formal financial markets. Further research reveals that participating in formal financial markets can significantly increase farmers’ annual income. Therefore, training should be strengthened to enhance farmers’ digital skills. Open information platforms should be established to broaden channels, gradually enabling farmers to freely acquire information, reducing the cost of maintaining social networks for farmers, and improving the convenience of farmers’ online transactions. In addition, efforts should be made to promote the development of inclusive finance, focus on the differentiation issues of farmers in information and wealth, and thereby more widely enhance farmers’ participation in formal financial markets. Full article

Drug delivery to the brain faces a critical obstacle in the form of the blood–brain barrier (BBB), which severely limits therapeutic options for Alzheimer’s disease (AD). Transferrin receptor 1 (TfR1) is abundantly expressed in brain capillary endothelial cells, offering a potential pathway for circumventing this barrier. Physiologically, TfR1 binds to iron-laden transferrin, leading to cellular uptake through clathrin-mediated endocytosis. Within acidic endosomes, the iron is released, and the receptor–apotransferrin complex recycles to the cell surface for further rounds of transport. Furthermore, studies in AD mouse models have demonstrated that TfR1 expression in brain microvessels remains stable, highlighting its suitability as a delivery target even in disease conditions. Based on this, various drug delivery strategies targeting TfR1 have been developed, including bispecific antibodies, antibody fragments, ligand conjugates, and nanoparticle-based carriers. While these approaches hold great promise, they face practical limitations such as competition with endogenous transferrin, receptor saturation, and inefficient intracellular trafficking. This review details the current understanding of TfR1-mediated BBB transport mechanisms, evaluates emerging delivery platforms, and argues that TfR1 represents an accessible gateway for brain-targeted therapeutics in AD. The insights presented will be of interest to researchers in molecular biology, pharmacology, and drug development. Full article

Organoid technology has emerged as a revolutionary tool in cancer research, offering physiologically accurate, three-dimensional models that preserve the histoarchitecture, genetic stability, and phenotypic complexity of primary tumors. These self-organizing structures, derived from adult stem cells, induced pluripotent stem cells, or patient tumor biopsies, recapitulate critical aspects of tumor heterogeneity, clonal evolution, and microenvironmental interactions. Organoids serve as powerful systems for modeling tumor progression, assessing drug sensitivity and resistance, and guiding precision oncology strategies. Recent innovations have extended organoid capabilities beyond static culture systems. Integration with microfluidic organoid-on-chip platforms, high-throughput CRISPR-based functional genomics, and AI-driven phenotypic analytics has enhanced mechanistic insight and translational relevance. Co-culture systems incorporating immune, stromal, and endothelial components now permit dynamic modeling of tumor–host interactions, immunotherapeutic responses, and metastatic behavior. Comparative analyses with conventional platforms, 2D monolayers, spheroids, and patient-derived xenografts emphasize the superior fidelity and clinical potential of organoids. Despite these advances, several challenges remain, such as protocol variability, incomplete recapitulation of systemic physiology, and limitations in scalability, standardization, and regulatory alignment. Addressing these gaps with unified workflows, synthetic matrices, vascularized and innervated co-cultures, and GMP-compliant manufacturing will be crucial for clinical integration. Proactive engagement with regulatory frameworks and ethical guidelines will be pivotal to ensuring safe, responsible, and equitable clinical translation. With the convergence of bioengineering, multi-omics, and computational modeling, organoids are poised to become indispensable tools in next-generation oncology, driving mechanistic discovery, predictive diagnostics, and personalized therapy optimization. Full article

The global need for tissue and organ transplantation paved the way for plant-based scaffolds as cheap, ethical, and valuable alternatives to synthetic and animal-derived matrices for tissue regeneration. Over the years, the field has outgrown its initial scope, including the development of tissue models, platforms for drug testing and delivery, biosensors, and laboratory-grown meat. In this scoping review, we aimed to shed light on the frequency of the use of different plant matrices, the main techniques for decellularization, the functionalization methods for stimulating mammalian cell attachment, and the main results. To that purpose, we searched the keywords “decellularized” AND “scaffold” AND (“plant” OR “vegetable”) in online-available databases (Science Direct, Scopus, PubMed, and Sage Journals). From the selection and study of 71 articles, we observed a multitude of plant sources and tissues, along with a large and inhomogeneous body of protocols used for decellularization, functionalization and recellularization of plant matrices, which all led to variable results, with different extents of success (mostly in vitro). Since the field of plant-based scaffolds shows high potential for growth in the next few years, driven by emerging biotechnological applications, we conclude that future research should focus on plant sources with low economic and environmental impacts while also pursuing the standardization of the methods involved and a much deeper characterization of the scaffold performance in vivo. Full article

This paper explores how digital crowdsourcing platforms communicate sustainability-oriented innovation and mobilise stakeholder engagement. Through a directed content analysis of three platforms (OpenIDEO, San Francisco, CA, USA; Enel Innovation Hub, Rome, Italy; and InnoCentive, Waltham, MA, USA). The study examines communication strategies, participation models, and alignment with the United Nations Sustainable Development Goals (SDGs). Results show that communication is not neutral but functions as a governance mechanism shaping who participates, how innovation is framed, and what outcomes emerge. OpenIDEO fosters inclusive co-creation and SDG alignment, Enel Innovation Hub highlights technical readiness and energy transition, and InnoCentive relies on rewards and competition. Word-frequency analysis confirms these emphases, while interpretation through Motivation Crowding Theory, Social Exchange Theory, and Transaction Cost Theory explains how motivational framing, legitimacy signals, and participation structures affect engagement. The study contributes to research on open innovation and platform studies by demonstrating the constitutive role of communication in enabling or constraining sustainable collective action. Practical implications are outlined for platform designers, marketers, and policymakers seeking to align digital infrastructures with systemic sustainability goals. Full article

Electrochemical sensors have emerged as powerful analytical tools for the detection of anti-inflammatory and antibiotic drugs due to their high sensitivity, rapid response, and cost-effectiveness compared to conventional chromatographic and spectrophotometric methods. This review highlights recent advances in electrode materials, surface modification strategies, and signal amplification approaches for quantifying nonsteroidal anti-inflammatory drugs (NSAIDs) and various antibiotic classes, including sulfonamides, tetracyclines, macrolides, and quinolones. Particular attention is given to nanostructured carbon-based materials, metal nanoparticles, and polymer composites that enhance electron transfer, improve selectivity, and lower limits of detection (LODs). The analytical performance of different electrochemical techniques such as cyclic voltammetry, differential pulse voltammetry, and square-wave voltammetry is critically compared across various drug targets. Trends indicate that hybrid nanomaterial-modified electrodes consistently achieve sub-micromolar detection limits in biological and environmental samples, offering potential for point-of-care diagnostics and environmental monitoring. Current challenges include improving sensor stability, mitigating fouling effects, and ensuring reproducibility in complex matrices. Future research should focus on integrated, miniaturized sensing platforms capable of multiplex detection, paving the way for rapid, portable, and sustainable analytical solutions in pharmaceutical and biomedical applications. Full article

The rapid evolution of human–technology interaction necessitates continuous sensorimotor adaptation to new digital interfaces and tasks. Mobile typing, defined as text entry on smartphone touchscreens, offers a compelling example of this process, requiring users to adapt fine motor control and coordination to a constrained virtual environment. Aligned with the embodied cognition framework, understanding these digital sensorimotor experiences is crucial. A key theoretical question is whether these skills primarily involve adaptation of existing motor patterns or necessitate de novo learning, a distinction particularly relevant across generations with differing early sensorimotor experiences. This narrative review synthesizes current understanding of the sensorimotor aspects of smartphone engagement and typing skill evaluation methods. It examines touchscreen competence, skill acquisition, diverse strategies employed, and the influence of interface constraints on motor performance, while also detailing various sophisticated performance metrics and analyzing different data collection methodologies. Research highlights that analyzing typing behaviors and their underlying neural correlates increasingly serves as a potential source of behavioral biomarkers. However, while notable progress has been made, the field is still developing, requiring stronger methodological foundations and crucial standardization of metrics and protocols to fully capture and understand the dynamic sensorimotor processes involved in digital interactions. Nevertheless, mobile typing emerges as a compelling model for advancing our understanding of human sensorimotor learning and cognitive function, offering a rich, ecologically valid platform for investigating human-world interaction. Full article

Oleosomes are submicron oil bodies of a triacylglycerol core enveloped by a phospholipid monolayer and embedded proteins, forming a naturally assembled nanocarrier with exceptional oxidative resilience, interfacial stability, and biocompatibility. Their unique architecture supports solvent-free extraction, self-emulsification, and near-complete encapsulation of highly lipophilic compounds (log P > 4), including curcumin and cannabidiol, with reported efficiencies exceeding 95%. These plant-derived droplets enhance oral bioavailability through lymphatic uptake and enable targeted delivery strategies such as magnetically guided chemotherapy, which has reduced tumor burden by approximately 70% in vivo. The review critically examines recent advances in oleosome research, spanning botanical sourcing, green extraction technologies, interfacial engineering, xenobiotic encapsulation, pharmacokinetics, and therapeutic applications across oncology, dermatology, metabolic disease, and regenerative medicine. Comparative analyses demonstrate that oleosomes rival or surpass synthetic lipid nanocarriers in encapsulation efficiency, oxidative stability, and cost efficiency while offering a sustainable, clean-label alternative. Remaining challenges, including low loading of hydrophilic drugs, allergenicity, and regulatory standardization, are addressed through emerging strategies such as hybrid oleosome–liposome systems, recombinant oleosin engineering, and stimulus-responsive coatings. These advances position oleosomes as a versatile and scalable platform with significant potential for food, cosmetic, and pharmaceutical applications. Full article

The electrification of automotive powertrains has accelerated research efforts in the modeling, control, and monitoring of electric drive systems, where reliability, safety, and efficiency are key enablers for mass adoption. Despite a large corpus of literature addressing individual aspects of electric drives, current surveys remain fragmented, typically focusing on either multiphysics modeling of machines and converters, or advanced control algorithms, or diagnostic and prognostic frameworks. This review provides a comprehensive perspective that systematically integrates these domains, establishing direct connections between high-fidelity models, control design, and monitoring architectures. Starting from the fundamental components of the automotive power drive system, the paper reviews state-of-the-art strategies for synchronous motor modeling, inverter and DC/DC converter design, and advanced control schemes, before presenting monitoring techniques that span model-based residual generation, AI-driven fault classification, and hybrid approaches. Particular emphasis is given to the interplay between functional safety (ISO 26262), computational feasibility on embedded platforms, and the need for explainable and certifiable monitoring frameworks. By aligning modeling, control, and monitoring perspectives within a unified narrative, this review identifies the methodological gaps that hinder cross-domain integration and outlines pathways toward digital-twin-enabled prognostics and health management of automotive electric drives. Full article

The evolution of decentralized clinical trials, driven by advanced digital technologies, is transforming traditional clinical research. It introduces innovative methods for informed consent, remote patient monitoring, and data analysis, enhancing study efficiency, validity, and participation while reducing patient burden. Some clinical procedures can be conducted remotely, increasing trial accessibility and reducing population selection biases, particularly for cardiovascular patients. However, this also presents complex regulatory and ethical challenges. The article explores how digital platforms and emerging technologies like block chain, AI, and advanced cryptography can promote traceability, security, and transparency throughout the trial process, ensuring participant identification and documentation of each procedural step. Clear, legally compliant informed consent, often managed through electronic systems, both for research participation and data management in line with GDPR, is essential. Ethical considerations include ensuring participants understand trial information, with adaptations such as simplified language, visual aids, and multilingual support. The transnational nature of decentralized trials highlights the need for coordinated regulatory standards to overcome jurisdictional barriers and reinforce accountability. This framework promotes trust, shared responsibility, and the protection of participants rights while upholding high ethical standards in scientific research. Full article

Wind turbines serve as core equipment for renewable energy development and utilization. Tower high-strength bolts are critical load-bearing components of wind turbines, making precise detection and early identification of their failures of significant importance. By addressing the challenges of extracting failure features from tower high-strength bolts and the insufficient generalization capability of traditional intelligent diagnostic models, this study achieves the precise detection and early identification of bolt-loosening failures. This study independently constructed a simulation platform to collect bolt vibration data and proposed a diagnostic model—BKA-CNN-GRU—based on a CNN-GRU architecture enhanced by the Black-winged Kite Algorithm (BKA). This approach enables precise detection and early identification of high-strength bolt-loosening failures. The specific research approach involved first establishing experimental conditions with varying bolt tightening levels to capture time-domain vibration signals. Subsequently, Fast Fourier Transform (FFT) was applied to convert these signals into frequency-domain data. Building upon this, BKA optimization was employed to refine key hyperparameters of the CNN-GRU model, thereby enhancing diagnostic performance. Experimental results demonstrate that, under the same dataset, the BKA-CNN-GRU model achieves an average accuracy of 99.31%, significantly outperforming comparison models such as CNN-GRU. Furthermore, the model exhibits robust performance and strong generalization capabilities under varying sample proportions and small-sample conditions. Full article

The red swamp crayfish (Procambarus clarkii) is the most widely introduced crayfish species worldwide. Its spread causes massive environmental impacts on native species and ecosystems. Owing to its commercial value and impacts in introduced countries, the literature on P. clarkii has increased exponentially, making necessary studies for synthesising the collected information. In this study, a text mining and topic modelling approach was used to analyse the scientific literature on P. clarkii as an invasive species, to identify the interests and trends of research lines through time and space. A keyword-based search of research databases was performed, and the abstracts of 519 articles were analysed to identify the most characterising terms. These included both descriptive terms of the species and terms related to its invasiveness and impacts. The analysis of the scientific literature allowed us to identify 14 research topics focusing on the ecological impacts of P. clarkii and its geographical distribution, with a growing interest in invasion mechanisms and dispersal pathways. On the contrary, management studies are less abundant, despite their scientific value is highlighted by their increasing number of citations. This reflects the fact that most management-related studies are found in the grey literature and are therefore underrepresented in the scientific literature. The limited accessibility to data and the complexity of control strategies are obstacles to the effective management of this species. Improvement in information sharing through the creation of digital platforms that support distribution data suitable for modelling species spread, and the integration of knowledge from non-academic sources may help fill current knowledge gaps and provide new perspectives for the management of P. clarkii. Full article

Purpose: This study investigated the attributes of confession pages on Facebook, their role within social networks, and their impact on society. It also explored their defining traits, the need for confession pages and the effects of anonymity. Methodology: The research methodology involved coding 1280 posts extracted from select pages, and semi-structured in-depth interviews with 15 prominent followers. Findings: Anonymity was found to be important because it helps individuals avoid social repercussions. Prominent recurring themes included formal behavior, relationships, and sexuality, topics that frequently involve social sanctions and penalties. The study also underscored the sense of community fostered by interaction between writers posting on confession pages and readers of these posts. The current study suggests that confession pages reflect society-level value preferences that shape interaction on social media according to Hofstede’s framework. Moreover, different confession groups serve to satisfy different needs, aligning with the theory of uses and gratifications in communication media. Practical implications: Engagement was shown by readers who extended offers to help and provided suggestions to support authors facing different challenges. Social implications: The motivations of anonymity for contributors to communities fostered through writer–reader interactions on the platform. Value: An in-depth examination of confession within contemporary society, redefining the contemporary landscape of confession, shedding light on its various perspectives within the public internet sphere, and thus contributing to comprehension of the different needs for anonymous expression. Full article