Search Results (22,428)

Chatbots, search engines and Database Query Systems are invaluable sources of information for decision-making processes in the data-driven world in which we live today. In this study, we explore the extent to which classical and Quantum Query Systems can support future decisions, taken at a moment where the query service may be inaccessible and the decision has to be based solely on information collected in the past. We show that encoding information at the quantum level allows Query Systems to support future or delayed decisions. More precisely, Grover’s algorithm can be employed in order to extract the desired answer from a large superposition of question–answer pairs obtained through a single interrogation of the system. The method works best for binary answers and can be applied to queries encompassing hundreds or thousands of questions in one query. Extensions are possible if we allow more than one query to be addressed to the system. By comparison, a classical system would require hundreds or thousands of queries in order to offer the same level of support for delayed decisions. Full article

This study presents an acoustic membrane design utilizing a thin foil sound resonance mechanism to enhance sound absorption and insulation performance. The membranes incorporate single-layer and double-layer structures featuring parallel foil square wedge-shaped coffers and a flat bottom panel, separated by air cavities. The enclosed air cavity significantly improves the sound insulation capability of the acoustic membrane. Parametric studies were conducted to investigate key factors affecting the sound transmission loss (STL) of the proposed acoustic membrane. The analysis examined the influence of foil thickness, substrate thickness, and back cavity depth on acoustic performance. Results demonstrate that the membrane structure enriches vibration modes in the 500–6000 Hz frequency range, exhibiting multiple acoustic attenuation peaks and broader noise reduction bandwidth (average STL of 40–55 dB across the researched frequency range) compared to conventional resonant cavities and membrane-type acoustic metamaterials. The STL characteristics can be tuned across different frequency bands by adjusting the back cavity depth, foil thickness, and substrate thickness. Experimental validation was performed through noise reduction tests on an air compressor pump. Comparative acoustic measurements confirmed the superior noise attenuation performance and practical applicability of the proposed membrane over conventional acoustic treatments. Compared to uniform foil resonators, the combination of plastic and steel materials with single-layer and double-layer membranes reduced the overall sound level (OA) by an additional 2–3 dB, thereby offering exceptional STL performance in the low- to medium-frequency range. These lightweight, easy-to-manufacture membranes exhibit considerable potential for noise control applications in household appliances and industrial settings. Full article

Scientific evaluation of ecological security pattern (ESP) quality provides a crucial foundation for regional ecological protection and spatial planning. Addressing the problem that current research on ESP quality generally lacks a systematic evaluation framework and excessively relies on qualitative descriptions, this study aims to explore a scientific and quantitative evaluation method for ESP quality. By combining landscape pattern and ecological network analysis, this study develops an evaluation framework for regional ESP quality that encompasses 12 key factors and utilizes parallel coordinate plots for visualization. Applying this framework, this study quantified the spatiotemporal evolution characteristics of ESP quality in the Taihang–Qinling intersection zone, China, from 2000 to 2020. The findings were as follows: (1) Both the number and total area of ecological sources increased markedly, accompanied by heightened spatial heterogeneity of the ecological resistance surface. The number of ecological corridors rose, although their total length decreased. Ecological strategic points increased substantially. (2) Despite the increase in the scale of ecological sources and the number of corridors, considering the comprehensive impact of multiple evaluation factors, the overall ESP quality declined across the region. In particular, the Taihang and Qinling Mountain regions experienced degradation, whereas the Songji Mountains region showed improvement. (3) This study discussed an ecological protection and restoration scheme comprising the Taihang ecological barrier region, the Songji ecological restoration region, and the Qinling ecological conservation region, and formulated region-specific optimization strategies. Overall, the proposed evaluation framework and local quality analysis methods of ESP in this study offer new perspectives for advancing ecological planning research. Full article

Background: Children with inflammatory bowel disease (IBD) are at heightened risk for vaccine-preventable infections because of underlying immune dysregulation and long-term immunosuppressive therapy. Despite published guidelines affirming vaccine safety, real-world coverage remains suboptimal. It is a pilot, single-country survey designed to explore baseline knowledge and practices regarding vaccination in paediatric IBD within a specific local healthcare context. Objective: The objective of this study is to evaluate the knowledge, attitudes, and practices of paediatric gastroenterologists (PGs) regarding the immunisation of children with IBD. Methods: We conducted an exploratory pilot, cross-sectional survey of paediatric gastroenterologists in Russia, focusing on immunisation knowledge and practical barriers in routine care. A cross-sectional, anonymous online survey was distributed to PGs nationwide between January 2022 and April 2022. The online questionnaire explored demographic characteristics, awareness of international recommendations, perceptions of vaccine safety at various disease and treatment stages, and routine vaccination practices. Responses were analysed with non-parametric statistics (α = 0.05). In a parallel prospective cohort, the vaccination certificates of 98 paediatric IBD patients (January 2022–April 2023) were audited to quantify real-world coverage. Results: Fifty-one PGs completed the survey. Forty-one per cent agreed that vaccines do not provoke IBD flares, while 17.6% considered live vaccines acceptable during immunosuppressive remission. Nearly one-third (32%) did not personally oversee immunisation, and 18% occasionally discouraged vaccination during therapy. Only 35.3% deemed baseline serology essential before starting immunosuppression; 46.5% supported antibody checks immediately prior to vaccination. The certificate audit revealed a full schedule completion rate of 66.3% for measles–mumps–rubella and 74.2% for hepatitis B, contrasting with parental reports of 82.3% complete coverage. Conclusions: Knowledge gaps, limited guideline awareness, and parental concerns contribute to suboptimal vaccination of paediatric IBD patients. Targeted educational initiatives, clearer shared-care pathways, and routine certificate audits are needed to close the coverage gap and reduce infection-related morbidity. Findings are hypothesis-generating and reflect local practice; as a pilot study, results should be interpreted with caution and may not generalise beyond similar settings. Full article

The solar angle of incidence is the angle between the sunlight and the normal on the impact surface. The lower the angle of incidence, the more sun radiation the surface can absorb. There are several methods for calculating of this angle. Determining the geographical location of the equivalent surface is one of the lesser-known options. The equivalent surface is a tangential plane to the Earth that is parallel to a reference inclined surface. The geographical coordinates of the point of tangency are clearly determined by the slope and aspect. Since the equivalent surface is horizontal, basic solar geometry equations apply. Unlike the conventional equations commonly used today, they provide easily interpretable results. The sunrise and sunset times for an inclined surface and the time of an extreme incidence angle can be calculated directly. Approximate calculations are not necessary. In addition, the geographical approach allows for the hour angle to be determined, as well as the tilt for a given azimuth of the solar panel that is perpendicular to direct sunlight. This new procedure sets the time for regular changes in the horizontal direction of the sun-tracker. The renaissance of the geographical approach for calculating the temporal characteristics, which allows for the use of simple equations and the interpretation of their results, can also benefit agriculture, forestry, land management, botany, architecture, and other sectors and sciences. Full article

Ultrahigh dose rate (UHDR) radiotherapy, also known as FLASH radiotherapy (FLASH-RT), has shown potential for increasing tumor control while sparing normal tissue. In parallel, gold nanoparticles (GNPs) have been extensively explored as radiosensitizers due to their high atomic number and ability to enhance the generation of reactive oxygen species (ROS) through water radiolysis. In this study, we investigate the synergistic effects of UHDR electron beams and GNP-mediated radiosensitization using Monte Carlo (MC) simulations based on the Geant4-DNA code. A spherical water phantom with embedded GNPs of varying sizes (5–100 nm) was irradiated using pulsed electron beams (100 keV and 1 MeV) at dose rates of 60, 100, and 150 Gy/s. The chemical yield of ROS near the GNPs was quantified and compared to an equivalent water nanoparticle model, and the yield enhancement factor (YEF) was used to evaluate radiosensitization. Results demonstrated that YEF increased with smaller GNP sizes and at lower UHDR, particularly for 1 MeV electrons. A maximum YEF of 1.25 was observed at 30 nm from the GNP surface for 5 nm particles at 60 Gy/s. The elevated ROS concentration near GNPs under FLASH conditions is expected to intensify DNA damage, especially double-strand breaks, due to increased hydroxyl radical interactions within nanometric distances of critical biomolecular targets. These findings highlight the significance of nanoparticle size and beam parameters in optimizing ROS production for FLASH-RT. The results provide a computational basis for future experimental investigations into the combined use of GNPs and UHDR beams in nanoparticle-enhanced radiotherapy. Full article

In this paper, I will discuss a topic concerning part–whole structures in the nominal and verbal domain. Specifically, I will address the question of whether there is a universal mechanism for the individuation of entities and events by exploring parallels between singulatives and semelfactives in Slavic. Singulatives are derived unit nouns, whereas semelfactives are punctual verbs that describe a brief event which culminates by returning to the initial state. Cross-linguistically, singulative morphology often alternates with collective marking, whereas semelfactives alternate with iteratives. Collectives and iteratives describe homogenous groupings of entities and events, respectively. From a conceptual perspective, both singulatives and semelfactives individuate to the effect of singular bounded unit reference and in the literature, the parallel between the mass count/distinction and aspect has often been drawn. In Slavic, singulative and semelfactive morphologies share a component; specifically, both markers involve a nasal -n and a vocalic component, e.g., compare Russian gorox ‘peas (as a mass)’ ∼goroš-in-a ‘a pea’ and prygať ‘to jump (repeatedly)’ ∼ pryg-nu-ť ‘to jump once’. I will argue that the singulative -in and semelfactive -nu are complex and both involve the very same -n, which denotes a declustering atomizer modeled in mereotopological terms. Full article

Urban sewer conditions assessment is important for the proper conveyance of sanitary water to wastewater treatment plants prior to environmental discharge. An effective approach to address this important process needs to be developed. This paper presents a data-driven methodology for sewer condition assessment with gridding-based chemical markers measurement in combination with a Bayesian chemical mass balance (CMB) model. A field study was performed in an urban sewer in Nanjing, China, to test the robustness of the developed methodology. In this site, data library of chemical markers (total nitrogen, phosphate, chloride, and total hardness) for source flows, including domestic wastewater, commercial wastewater and groundwater, was established. Meanwhile, a gridding-based measurement of these chemical markers in sewer flows was performed along the assessed sewer. Then, the CMB model with Bayesian inference and parallel Markov Chain Monte Carlo simulations was developed to quantify source contributions in sewer flows based on the chemical markers data of source and sewer flows. Accordingly, the proportion of clean water infiltration into the sewer and associated sewer defect level can be assessed. The Bayesian CMB model presented that groundwater contributed 11~14% of the sewer flow, indicating a neglectable sewer defect condition. The sewer assessment result was further verified by on-site physical inspection with distributed temperature sensing of in-sewer flows, proving the reliability of the developed methodology. Using this data-driven approach, a preliminary screening of the high-risk sub-catchments with severe sewer defect levels can be made for the following targeted sewer defects locations, optimizing the labor-intensive, system-wide physical inspections. Therefore, the proposed approach offers a cost-effective solution for system-wide sewer inspections. Full article

This project presents the development of an open-source educational platform based on an automotive Electrically Excited Synchronous Machine (EESM) repurposed from a KIA Sportage mild-hybrid vehicle. The introduction provides an overview of hybrid drive systems and the primary configurations employed in automotive applications, including classifications based on power flow and the placement of electric motors. The focus is placed on the parallel hybrid configuration, where a belt-driven starter-generator assists the internal combustion engine (ICE). Due to the proprietary nature of the original control system, the unit was disassembled, and a custom control board was designed using a Texas Instruments C2000 Digital Signal Processor (DSP). The motor features a six-phase dual three-phase stator, offering improved torque smoothness, fault tolerance, and reduced current per phase. A compact Anisotropic Magneto Resistive (AMR) position sensor was implemented for position and speed measurements. Current sensing was achieved using both direct and magnetic field-based methods. The control algorithm was verified on a modified six-phase inverter under simulated vehicle conditions utilizing a dynamometer. Results confirmed reliable operation and validated the control approach. Future work will involve complete hardware testing with the new control board to finalize the platform as a flexible, open-source tool for research and education in hybrid drive technologies. Full article

To cost-effectively meet 6G latency requirements, concurrent upstream and direct inter-optical network unit (ONU) communication passive optical networks (PONs) based on flexible point-to-multipoint (P2MP) optical transceivers and intensity modulation and direct detection (IMDD) have been reported to enable direct communications among different ONUs within the same PON without passing data to the optical line terminal (OLT). However, the previously reported P2MP transceivers suffer from high DSP complexity for establishing ultra-dense connections. For such application scenarios, the PON’s remote nodes also have high inter-ONU signal power losses. To effectively solve these technical challenges, this paper experimentally showcases (a) new P2MP transceivers by utilizing parallel multi-channel aggregation/de-aggregation and advanced extended Gaussian function (EGF)-based orthogonal digital filter banks, along with (b) low inter-ONU signal power loss-remote nodes. By introducing these two techniques into a 27 km, >54.31 Gbit/s concurrent upstream and direct inter-ONU communication IMDD PON, comprehensive experimental explorations of the PON’s performances were undertaken for the first time. The remote node is capable of supporting 128 ONUs. The results show that the new P2MP transceivers lead to >75% (>40%) reductions in overall transmitter (receiver multi-channel de-aggregation) DSP complexity, and they can also equip the PONs with an enhanced capability of providing ultra-dense connections. The experimental results also show that the PON allows each ONU to flexibly change its upstream and inter-ONU communication channel count without considerably compromising its performance. Therefore, the PON outperforms those of previously reported works in terms of ensuring low DSP complexity, highly robust transmission performance, and enhanced capabilities of flexibly accommodating numerous applications with diverse requirements regarding traffic characteristics, thus making it suitable for ultra-dense connection application scenarios. Full article

To tackle the limitations in simultaneously modeling long-term dependencies in the time dimension and nonlinear interactions in the feature dimension, as well as their inability to fully reflect the impact of real-time load changes on spatial dependencies, a short-term multi-energy load forecasting method based on Transformer Spatio-Temporal Graph neural network (TSTG) is proposed. This method employs a multi-head spatio-temporal attention module to model long-term dependencies in the time dimension and nonlinear interactions in the feature dimension in parallel across multiple subspaces. Additionally, a dynamic adaptive graph convolution module is designed to construct adaptive adjacency matrices by combining physical topology and feature similarity, dynamically adjusting node connection weights based on real-time load characteristics to more accurately characterize the spatial dynamics of multi-energy interactions. Furthermore, TSTG adopts an end-to-end spatio-temporal joint optimization framework, achieving synchronous extraction and fusion of spatio-temporal features through an encoder–decoder architecture. Experimental results show that TSTG significantly outperforms existing methods in short-term load forecasting tasks, providing an effective solution for refined forecasting in integrated energy systems. Full article

Rapid full-field surface topography measurement for large-scale wafers remains challenging due to limitations in speed, system complexity, and scalability. This work presents a interferometric system based on thin-film interference for high-precision wafer profiling. An optical flat serves as the reference surface, forming a parallel air-gap structure with the wafer under test. A large-aperture collimated beam is introduced via an off-axis parabolic mirror to generate high-contrast interference fringes across the entire field of view. Once the wafer is fully illuminated, topographic information is directly extracted from the fringe pattern. Comparative measurements with a commercial interferometer show relative deviations below $3\%$ in bow and warp, confirming the system’s accuracy and stability. With its simple optical layout, low cost, and robust performance, the proposed method shows strong potential for industrial applications in wafer inspection and online surface monitoring. Full article

With the rise of green building and biophilic design, how sports venues enhance users’ place attachment through natural design features has become a critical interdisciplinary research topic in architecture and environmental psychology. This study adopts an integrated perspective of environmental psychology and architectural psychology to investigate the impact mechanism of natural design features (natural visibility, integration, and interactivity) on place attachment. Using a maximum likelihood-based structural equation model with a sample of 1022 users of waterside sports venues, this research pioneers the construction and validation of a parallel mediation model involving nature connectedness and biophilia. The findings reveal that (1) natural visibility, integration, and interactivity all significantly and positively influence place attachment; (2) nature connectedness mediates the relationship between natural design features and place attachment; and (3) biophilia also mediates the effect of natural design features on place attachment. This study makes a groundbreaking contribution by uncovering the dual-path “perception-emotion” mechanism through which natural design elements influence users’ psychological responses. The results provide empirical support for the refined application of nature-embedded strategies in architectural design and offer direct guidance for enhancing the social sustainability of high-density urban waterfront public spaces. Full article

The significant increase in non-performing loans (NPLs) during the escalating recession of the Greek economy motivates us to study the predictive power of credit rating models in periods of economic shocks. In parallel, we examined the responsibilities of bank management in the expansion of NPLs in this adverse environment. Certain studies connect bad loans with turbulent conditions. Our paper weighs the relative significance of both economic shock and management effectiveness using data at an individual level, which provides the originality of our study. We use a unique dataset of small business loans that were granted during 2005 (expansion period) by a large commercial Greek bank, and we explore their performance between 2010 and 2012 (early recession period). In the context of a stepwise methodology, we compare the Bank’s credit scoring model with three other prediction models (binomial logistic regression, decision tree, and multilayer perceptron neural network) to check both the predictive ability of credit scoring models during recession and the effectiveness of bank management. The comparative analysis confirms the management’s responsibilities in granting NPLs, since the Bank’s model exhibited the worst predictive performance. Additionally, we find that adverse external conditions lead to an increase in NPLs and decrease the predictive performance of all credit scoring models. The study offers a reliable methodological tool for lending management in economic downturns. Full article

As a convolutional operation in a space domain, Gaussian filtering involves a large number of computational operations, a number that increases when the sizes of images and the kernel size also increase. Thus, finding methods to accelerate such computations is significant for overall time complexity enhancement, and the current paper proposes the use of partial sums to achieve this acceleration. The MPI (Message Passing Interface) library and the C programming language are used for the parallel program implementation of Gaussian filtering, based on a 1D kernel and 2D kernel working with and without the use of partial sums, and then a theoretical and practical evaluation of the effectiveness of the proposed implementations is made. The experimental results indicate a significant acceleration of the computational process when partial sums are used in both sequential and parallel processing. A PSNR (Peak Signal to Noise Ratio) metric is used to assess the quality of filtering for the proposed algorithms in comparison with the MATLAB implementation of Gaussian filtering, and time performance for the proposed algorithms is also evaluated. Full article