240106 research outputs found
Sort by
Hybrid deep learning models for water demand forecasting in greenhouses:Exploring the energy Nexus in Urban agriculture
No full textPrecise water demand forecasting (WDF) is crucial for sustainable irrigation and resource efficiency in urban greenhouse systems. This study introduces a cutting-edge hybrid deep learning approach designed for short-term WDF, while also considering the energy nexus between water, energy, and environmental factors. The model integrates the least squares generative adversarial network (LSGAN) for data pre-processing and noise reduction, convolutional neural networks (CNN) for feature selection, and bidirectional long short-term memory (BiLSTM) for time-series state modeling, and named as LSGAN[sbnd]CBiLSTM. Using real-world data from the Wageningen Research Centre in Bleiswijk, Netherlands, the model significantly outperformed benchmark approaches, achieving an R-value of 99.57 % with minimal forecasting errors. The model demonstrated exceptional stability, minimal bias, and strong handling of environmental variability, improving short-term WDF accuracy, optimizing water management in urban agriculture, enhancing sustainable irrigation, and addressing the energy nexus for efficient resource use.</p
The why and how of a circular blue-green bioeconomy integration
No full textThe transition to sustainable food systems requires innovative frameworks that move beyond siloed approaches to resource use. While both blue and green bioeconomies hold immense potential, their integration remains underexplored, particularly regarding circular product design for food and feed production. This gap limits the efficient valorization of waste- and by-products across these domains. The aim of this commentary is to outline why and how blue and green bioeceonomies should be converged within a circular framework. Drawing on case studies and recent advances, we adopt a conceptual approach to identify four ‘crystallization points’ for integration, which dissolve boundaries between ‘blue’ and ‘green’ and integrate both into a joint circular framework. This commentary highlights opportunities and challenges setting an agenda for future research and practice, underscoring pathways toward more sustainable, resilient, and resource efficient food systems. By integrating blue and green bioeconomies, it addresses critical environmental challenges while enhancing resource use and generating broader stakeholder benefits.</p
Distributed Unknown Input Observer Design with Relaxed Conditions:Theory and Application to Vehicle Platooning
No full textDesigning observers for linear systems with both known and unknown inputs is an important problem in several research contexts, for example, fault diagnosis and fault-tolerant control, and cyber-secure control systems, and presents significant challenges in distributed state estimation due to the limited sensing capabilities of individual nodes. Existing methods typically impose an individual input-to-output rank condition on each estimator node, which severely restricts applicability in practical applications. This paper presents a novel distributed unknown-input observer design scheme based on a geometric approach under much weaker assumptions than the ones available in the literature. By leveraging the properties of the (C,A)-invariant (conditioned invariant) subspace at each node, our methodology aims at reconstructing portions of the system state that remain unaffected by local unknown inputs, while integrating these estimates via a network-based information exchange. A case study on vehicle platoon control shows the effectiveness of the proposed approach
Anti-Ro52/TRIM21 autoantibodies predict Sjögren's syndrome in patients with primary biliary cholangitis
Get PDFBackground and aims: Sjögren's syndrome is a common comorbidity in patients with primary biliary cholangitis (PBC). Anti-Ro52 autoantibodies against the protein TRIM21 are often seen in Sjögren's syndrome. TRIM21 consists of four domains (PRY/SPRY, Coiled-Coil, B-box, and RING domain), each with a specific function. We hypothesized that patients with PBC and concomitant autoantibodies against TRIM21 had a higher risk of developing Sjögren's syndrome. Methods: Using ELISA, we analyzed plasma from 236 Danish patients with PBC. Binomial regression assessed the risk rates between demographics, serologic variables, PBC-40 results, and autoantibody positivity. Results: Forty patients (16.9%) tested positive for anti-Ro52 autoantibodies, with 23 (9.7%) samples positive against Coiled-Coil, 12 against PRY/SPRY (5.1%), and 10 against RING (4.2%). Increased IgG plasma levels, reports of dry mouth, and a diagnosis of Sjögren's syndrome increased the risk of both anti-Ro52 and all domain autoantibodies. In the anti-Ro52 positive subgroup, no less than 14 undiagnosed patients met the criteria for Sjögren's syndrome. Conclusions: We observed a 16.9% positivity of anti-Ro52 autoantibodies and an association between having these autoantibodies and elevated IgG, the symptom dry mouth, and having Sjögren's syndrome. Furthermore, we found a sizable undiagnosed group of Sjögren's patients in the anti-Ro52 positive subgroup. Our results suggest that Sjögren's patients are underdiagnosed in patients with PBC. We propose that patients with PBC be tested for anti-Ro52 autoantibodies and, if positive, referred for rheumatological examination.</p
Returning from practice to theory to practice too
Get PDFContemporary aspirations of higher education emphasise various conceptions of employability and ready-to-work students. This is often included in education as authentic problems parting from prospective voca-tional practices or different types of apprenticeship, thus reciprocally enriching theorical insights with practi-cal actions for the becoming novice, student. Practice becomes a space entangled in specific pedagogical approaches and considerations. However, the opposite also happens, practice returning to education, where practitioners with years of vocational experience return.This paper presents a case study of an educational Master’s program consisting of both students continu-ing the education from a bachelor program, and practitioners returning to education. Based on Dewey’s experiential continuum, we investigate how we by non-intrusive means can aid students’ (N = 28) in reflect-ing on their past, present and anticipated future in relation to the educational program. The data consist of short, personal snapshots containing short personal characteristics, motivations, and career prospects writ-ten by the students on post-it notes (N = 311). The post-its were collected on the first day of study through a workshop. The snapshots show a wide variation in students’ rationales and ambitions, such as technical and generic competence development, modes of studying, aspirations to change career and profession, but also per-sonal aspects such as family life. A common denominator is a shared story about ambitions to change cur-rent careers or open new avenues for employment and professional practice
Erratum to: Krogshede, M., & Hansen, R. K. (2025, jun. 7). Blinded Interpretation of the PULL&GO Study: A Cross-Sectional Analysis of Wheelchair Propulsion Methods.
Get PDFOptimal Scheduling of Rover Charging for Lunar Power Systems
Get PDFExtra-vehicular activities (EVAs) using pressurized and unpressurized rovers are planned by different space agencies to explore the lunar surface. The battery-powered lunar rovers can be charged from the lunar power systems, called lunarmicrogrids (MGs). These MGs are required to maintain reliable operations even in harsh and resource-scarce environments like space, fulfilling the mission’s long- and short-term goals, considering the power and resource availability, power demand, and system constraints. Preparing for an upcoming EVA demands intelligent strategies for planning the MG’s operation for autonomous power control (APC), energy management systems (EMS), and charging of rovers. The optimal operation of MGs can be affected by arbitrarily charging the rovers, altering the MG’s planned resource availability, and compromising the mission’s safety and reliability. This paper proposes an optimization framework to charge the lunar rovers optimally, considering the desired period of EVA and MG’s operational requirements. This defines well-designed operating references for MG’s APC and EMS. To investigate the performance of the proposed scheduling framework, two case studies are considered. In the first case, the paper considers the habitat MG to be supplied from its own PV-battery MG, to which the rover is also connected. The power demand profile of the habitat MG is modeled considering several activities in the habitat and wastewater filtration process. It can be observed that the optimization framework schedules the rover’s optimal charging duration and power from the excess PV power that would otherwise have been shed. In the second case, a multi-microgrid (MMG) system consisting of the habitat and in-situ resource utilization (ISRU) MGs is considered with power transmission among them, and it is assumed that the rover is charged from the habitat MG. The ISRU MG is also considered to be supplied from its PV-battery MG to supply its power demand for producing life-supporting resources according to the needs of the habitat. It is observed that the excess PV power from the ISRU MG is transmitted to charge the rover and maintain the battery state-of-charge (SoC) at the desired level
The most common diseases of the vestibular organs
Get PDFRecent advancements in diagnosis and treatment of inner ear disorders, including benign paroxysmal positional vertigo, Meniere's disease, and vestibular neuritis, have significantly improved patient care. In this review, new technologies such as video head impulse testing, dynamic posturography, virtual reality, and mechanical rotation chairs have enhanced diagnostic accuracy and facilitated improved and targeted treatment, which are addressed. Furthermore, rapid and consistent use of vestibular rehabilitation has proven effective in reducing vertiginous symptoms and improving overall balance performance significantly.</p
Examining Living Rhetoric in Contemporary Times: A Case for Using Qualitative Rhetorical Methods
No full textQualitative rhetorical methods guide scholars interested in analysing the active relations among texts, contexts and audiences to account for the experiential, dynamic, and often divergent meaning-making processes that analysis of (re)presentation in static texts cannot do alone. Such an approach asks researchers to (re)consider how we come to understand some meanings as (in)significant and simultaneously invites new understandings capable of shifting our thinking and/or actions over time. Since this complexity is embedded in examination of political, historical and social change processes, treating rhetoric as a “living” part of them requires including both historical analyses of already-produced texts and qualitative approaches to documenting meaning-making “in action”
FPS: Foundational Programming Skills in University Game Development
Get PDFTeaching programming can be challenging, especially for younger students. Combining that with all the necessary knowledge that is required for starting game development – understanding of lighting, physics, interactions, level design, shaders, it can quickly become overwhelming to students. This multifaceted nature of game development makes it hard to learn only from traditional resources like books and tutorials. In addition, the development of exercises can also be tricky, as it requires the balance between keeping the attention of students with interesting use cases and not overwhelming them with large projects