Search Results (50)

Questionnaire data plays a key role in social research, especially when evaluating public attitudes using Likert-type scales. Yet, traditional analyses often merge some ordinal categories and exclude responses such as Don’t Know, No Answer, or Refused—risking the loss of valuable information. This study introduces BS-TOSIE (Belief Structure-Based TOPSIS for Survey Item Evaluation), a novel method that preserves and integrates all response types, including ambiguous ones. By combining the Belief Structure framework with the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, BS-TOSIE offers a structured approach to ranking and evaluating individual survey items measured on an ordinal scale, even in the presence of missing or incomplete data. Response distributions are transformed into a belief structure vector, enabling comparison against ideal and anti-ideal benchmarks. We demonstrate this approach using data from the Quality of Life in European Cities survey to assess perceptions of local governance in European cities. This study analyzes changes in citizen satisfaction with local public administration across five key dimensions—timeliness, procedural clarity, fairness of fees, digital accessibility, and perceived corruption—in 83 European cities between 2019 and 2023. The findings reveal persistent regional disparities, with Northern and Western European cities consistently outperforming those in Southern and Eastern Europe, although some cities in Central Europe show signs of improvement. Zurich consistently received high satisfaction scores, while other cities, such as Rome and Palermo, showed lower scores. Unlike traditional methods, our approach preserves the full spectrum of responses, yielding more nuanced and interpretable insights. The results show that BS-TOSIE enhances both the clarity and depth of survey analysis, making a methodological contribution to the evaluation of ordinal data and offering empirical insights into public perceptions of local city administration. Full article

The Living Well with Dementia (LivDem) group intervention aims to support people to adjust following a diagnosis of dementia and is delivered across the UK and abroad. However, LivDem was designed for older people with dementia and may not address the needs of younger adults. This study aimed to identify the perspectives of LivDem facilitators on adapting the LivDem course for younger adults. Data was collected as part of an online facilitator survey and included questions requiring either ordinal or free-text responses. Responses from fifteen facilitators were analysed using descriptive statistics and Reflexive Thematic Analysis. The former indicated that participants believed that LivDem could be beneficial for younger adults and were in favour of it being adapted. Qualitative analysis generated two main themes, the first of which (‘The domino effect’: Unique Challenges for Younger Adults) had two subthemes: ‘Life and opportunities stripped away’ and ‘Impacting on everyone’. Theme 2, ‘Good to be with peers’: The Importance of Age-Appropriate Support, also had two subthemes: Groups ‘full of old people’ and Groups ‘specifically for younger people’. These findings reinforce the argument for creating age-appropriate services for people with young-onset dementia and will inform an adapted version of LivDem that provides age-appropriate support. Full article

Background: Participation in home and wild food procurement (HWFP) activities (i.e., gardening, hunting, fishing, foraging, preserving food, raising livestock, and raising poultry for eggs) skyrocketed during the COVID-19 pandemic. Procuring food through HWFP activities may have important food security and nutrition benefits, while also enhancing food sovereignty and food system resilience. This cross-sectional study examined the effect of HWFP activities on food security status, fruit and vegetable intake, and meat consumption. Methods: We used data collected in 2021 and 2022 from adults (n = 2001) through two statewide representative surveys in Maine and Vermont, United States. Dietary intake was assessed using the Dietary Screener Questionnaire. Food security status was assessed using the U.S. Department of Agriculture’s 6-item short-form food security module. We analyzed the data using linear regression, logistic regression, and ordinal logistic regression models. Results: Sixty-one percent of respondents engaged in HWFP activities; the majority of those gardened. Households engaging in most individual HWFP activities had greater odds of being food insecure. HWFP engagement was positively associated with fruit and vegetable consumption. Specifically, gardening was associated with an additional one cup-equivalent in fruit and vegetable consumption per week compared to respondents that did not garden. Furthermore, when exploring these relationships disaggregated by food security status, we find that this effect is stronger for food insecure households than food secure households. Respondents from households that hunted were more likely to eat wild game meat and also consumed red and white meat more frequently compared to households that did not hunt. Conclusions: Overall, our results indicate potential nutrition and food security benefits from engaging in HWFP activities. Future research should continue to examine a full suite of HWFP activities and their relationship to diet, health, food security, and food sovereignty. Full article

Background/Objectives: The optimal timing of rehabilitation after acute ischemic stroke is unclear. We studied neurological outcomes and safety of early mobilization (EM) within 24 h for patients receiving intravenous thrombolysis. Methods: This was a retrospective analysis of patients treated at a single Comprehensive Stroke Center from 6/2020–10/2024 with EM versus usual care. Patients were eligible for EM if they were treated with intravenous thrombolysis and had post-treatment National Institutes of Health Stroke Scale scores ≤ 5, and later, ≤10. Ordinal regression was performed to determine factors associated with a 90-day functional outcome benefit in the full cohort. Propensity scores were calculated for matched sample pairs to determine any shift towards better outcomes with EM. Results: Groups of 165 and 73 patients were treated with EM and usual care, respectively. Treatment with EM was not associated with improved 90-day neurological outcome (odds ratio [OR] for higher mRS 0.746, p = 0.265). The groups also had comparable rates of symptomatic intracranial hemorrhage, length of stay, and discharge disposition. In the propensity score analysis of 73 matched pairs, EM was comparable to usual care with respect to 90-day functional outcome (OR for higher mRS 0.891, p = 0.7). Conclusions: Mobilization within 24 h resulted in comparable rates of 90-day neurological function, symptomatic intracranial hemorrhage, and hospital length of stay in patients with mild ischemic stroke treated with intravenous thrombolysis. Future trials may further investigate the safety and efficacy of EM in alternate and larger patient cohorts. Full article

Background/Objectives: Growing evidence is underscoring the neuroprotective properties of melatonin, particularly its anti-inflammatory, anti-apoptotic, and antioxidant effects. Preliminary findings suggest that it has the potential to attenuate secondary brain injury following intracerebral hemorrhage (ICH). This observational study aimed to investigate the effect of melatonin on post-ICH mortality and functional outcomes. Methods: We conducted an exploratory analysis of data from a single-center, non-randomized, prospective cohort study involving 177 non-ventilated patients with spontaneous ICH consecutively admitted to the Stroke Unit at the University Hospital of Tübingen, Germany, between December 2015 and December 2020. Patients received either the best standard of care (control group) or the best standard of care plus melatonin (2 mg nightly), initiated within 24 h of symptom onset and continued until discharge. The primary endpoint was mortality at discharge, while secondary endpoints included mortality at 90 days and favorable outcomes (modified Rankin Scale [mRS] ≤ 2) at both discharge and a 90-day follow-up. To minimize baseline differences, propensity score matching (PSM) was employed in the secondary analysis. Additionally, ordinal mRS shift analysis was performed to assess the patients’ functional status at discharge. Results: In the full cohort (84 melatonin-treated patients vs. 93 controls), melatonin was not associated with any of the primary or secondary outcomes. In the PSM cohort (38 melatonin-treated patients vs. 38 controls), mortality at discharge was three times lower in the melatonin group compared to the control group (2.6% vs. 7.9%), although this trend did not reach statistical significance (ORadj: 0.372; 95% CI: 0.036–3.843; p = 0.407). Ordinal mRS analysis revealed no significant association between melatonin and functional status at discharge (common OR: 0.762; 95% CI: 0.327–1.773; p = 0.527). Similarly, the melatonin treatment was not associated with 90-day mortality (ORadj: 1.519; 95% CI: 0.295–7.826; p = 0.617) or the functional outcome at 90 days (ORadj: 0.626; 95% CI: 0.198–1.983; p = 0.426). Conclusions: Although 2 mg of melatonin daily did not significantly reduce mortality or improve functional outcomes in ICH patients, robust preclinical evidence and the favorable safety profile of melatonin warrant its further exploration in adequately powered, randomized-controlled clinical trials to evaluate optimized dosing regimens. Full article

Carbon emissions have a profound impact on the transformation goals and development paths of cities. In the context of carbon neutrality, it is of great significance to explore the coupling coordination level of the social–ecological systems in resource-based cities for realizing regional low-carbon and sustainable development. In this study, the entropy weighting method, coupling coordination degree model and geographical detector were used to measure the comprehensive development level and coupling coordination level of the social–ecological system in 116 resource-based cities in China from 2010 to 2020 and their spatial–temporal characteristics and influencing mechanism were analyzed. The results show the following: (1) The comprehensive development level of the social system in China’s resource-based cities has a significant upward trend, while the comprehensive development level of the ecological system has a gentle upward trend, and the coupling and coordination level of the social–ecological system has a fluctuating upward trend. (2) There is obvious spatial differentiation between the comprehensive development level and the coupling coordination level of the social–ecological systems in resource-based cities in China, and the relative difference is gradually increasing. (3) The digital economy index, urbanization level, science and education investment, and population density are important factors affecting the coupling coordination level, and the interaction between digital economy index, urbanization level, and population density has a strong explanatory power in the differentiation of the coupling coordination level. Based on the above conclusions, effective policy recommendations are put forward: formulate more refined and differentiated development paths, co-ordinate the spatial layout to give full play to the role of urban agglomeration, vigorously develop the digital economy, increase investment in science and education, rely on scientific and technological innovation to create development advantages, reasonably guide the population layout and take a new urbanization development route. Full article

Compared with conventional drones, distributed powered drones have significant advantages in handling stability characteristics, lift and drag characteristics, and takeoff and landing performance. However, there are also challenges such as aerodynamic interference of multi powered slipstream, distributed-power/wing strong-coupling dynamic modeling, and redundant control allocation of distributed-power control mechanisms. The paper has carried out the research on the dynamic modeling method, flight dynamics characteristics analysis, and the design of the control strategy of the jump and steep descent of the distributed dynamic configuration fixed wing unmanned aerial vehicle. A comprehensive aircraft dynamic model considering the influence of propeller slip on aerodynamics was established by combining theoretical derivation with flight experiment data correction. By comparing and analyzing the longitudinal and lateral heading control efficiency of unmanned aerial vehicles under rudder deflection and dynamic differential, a control concept of roll co-ordination control yaw combined with left and right dynamic differential is proposed. Digital simulation and flight tests showed that the established full aircraft dynamics model can accurately reflect the motion laws of distributed-power takeoff and landing unmanned aerial vehicles. The designed takeoff and landing strategy and control scheme can successfully achieve unmanned aerial vehicle takeoff and landing and perform cruising flight tasks. Full article

Background: Global COVID-19 vaccination effort faces the challenges of vaccine hesitancy and resistance, rooted in misinformation and institutional distrust. Addressing these barriers with customized messaging is essential, yet the relationship between vaccine hesitancy and other health-seeking behaviors, like COVID-19 testing, has been underexplored. Method: This study assessed COVID-19 vaccine uptake in Southeastern Louisiana across 10 pharmacies and clinics in areas with historically high rates of COVID-19 infection. Using a longitudinal cohort design from Fall 2022 through Fall 2023, a total of 377 participants from diverse backgrounds were surveyed while seeking routine care at partner organizations. Baseline data was collected on demographics, vaccine knowledge, attitudes, and test-seeking behaviors. Information on COVID-19 testing and vaccination were self-reported and verified, as applicable, in the patient’s medical records. All data was analyzed using descriptive statistics, log-binomial to yield risk ratios, and an ordinal logistic regression for vaccine series completion. Results: Among the 377 participants, 207 were unvaccinated while 170 received the vaccine. Among the unvaccinated individuals, 53 received a half-dose, 97 a full dose, and 14 a booster. Notably, 75% of unvaccinated and 89% of vaccinated participants underwent COVID-19 testing. Individuals who were tested were 1.71 times more likely to be vaccinated (95% CI 1.03, 2.84), while previous vaccine refusal was associated with lower vaccine acceptance (0.77; 95% CI 0.54, 1.09). In the bivariate and multivariate analysis, COVID-19 testing behavior was positively associated with COVID-19 vaccine uptake. Conclusions: Exploring the connection between COVID-19 testing and vaccination provides valuable insights for future public health messaging to mitigate vaccine hesitancy. Full article

Protocols to evaluate turfgrass quality rely on visual ratings that, depending on the rater’s expertise, can be subjective and susceptible to positive and negative drifts. We developed seasonal (spring, summer and fall) as well as inter-seasonal machine learning predictive models of turfgrass quality using multispectral and thermal imagery collected using unmanned aerial vehicles for two years as a proof-of-concept. We chose ordinal regression to develop the models instead of conventional classification to account for the ranked nature of the turfgrass quality assessments. We implemented a fuzzy correction of the resulting confusion matrices to ameliorate the probable drift of the field-based visual ratings. The best seasonal predictions were rendered by the fall (multi-class AUC: 0.774, original kappa 0.139, corrected kappa: 0.707) model. However, the best overall predictions were obtained when observation across seasons and years were used for model fitting (multi-class AUC: 0.872, original kappa 0.365, corrected kappa: 0.872), clearly highlighting the need to integrate inter-seasonal variability to enhance models’ accuracies. Vegetation indices such as the NDVI, GNDVI, RVI, CGI and the thermal band can render as much information as a full array of predictors. Our protocol for modeling turfgrass quality can be followed to develop a library of predictive models that can be used in different settings where turfgrass quality ratings are needed. Full article

As more and more numerical and analytical solutions to the linear neutron transport equation become available, verification of the numerical results becomes increasingly important. This presentation concerns the development of another benchmark for the linear neutron transport equation in a benchmark series, each employing a different method of solution. In 1D, there are numerous ways of analytically solving the monoenergetic transport equation, such as the Wiener–Hopf method, based on the analyticity of the solution, the method of singular eigenfunctions, inversion of the Laplace and Fourier transform solutions, and analytical discrete ordinates in the limit, which is arguably one of the most straightforward, to name a few. Another potential method is the PN (Legendre polynomial order N) method, where one expands the solution in terms of full-range orthogonal Legendre polynomials, and with orthogonality and series truncation, the moments form an open set of first-order ODEs. Because of the half-range boundary conditions for incoming particles, however, full-range Legendre expansions are inaccurate near material discontinuities. For this reason, a double PN (DPN) expansion in half-range Legendre polynomials is more appropriate, where one separately expands incoming and exiting flux distributions to preserve the discontinuity at material interfaces. Here, we propose and demonstrate a new method of solution for the DPN equations for an isotropically scattering medium. In comparison to a well-established fully analytical response matrix/discrete ordinate solution (RM/DOM) benchmark using an entirely different method of solution for a non-absorbing 1 mfp thick slab with both isotropic and beam sources, the DPN algorithm achieves nearly 8- and 7-place precision, respectively. Full article

In the field of autofocus for optical systems, although passive focusing methods are widely used due to their cost-effectiveness, fixed focusing windows and evaluation functions in certain scenarios can still lead to focusing failures. Additionally, the lack of datasets limits the extensive research of deep learning methods. In this work, we propose a neural network autofocus method with the capability of dynamically selecting the region of interest (ROI). Our main work is as follows: first, we construct a dataset for automatic focusing of grayscale images; second, we transform the autofocus issue into an ordinal regression problem and propose two focusing strategies: full-stack search and single-frame prediction; and third, we construct a MobileViT network with a linear self-attention mechanism to achieve automatic focusing on dynamic regions of interest. The effectiveness of the proposed focusing method is verified through experiments, and the results show that the focusing MAE of the full-stack search can be as low as 0.094, with a focusing time of 27.8 ms, and the focusing MAE of the single-frame prediction can be as low as 0.142, with a focusing time of 27.5 ms. Full article

A methodology for the computation of spectrally resolved upwelling radiances in the presence of atmospheric diffusive layers is presented. The algorithm, called MAMA (Martinazzo–Maestri), provides fast simulations over the whole longwave spectrum, with high accuracy, particularly for optically thin scattering layers like cirrus clouds. The solution is obtained through a simplification of the multiple-scattering term in the general equation of the radiative transfer in a plane-parallel assumption. The scattering contribution is interpreted as a linear combination of the mean ambient radiances involved in the forward and back-scatter processes, which are multiplied by factors derived from the diffusive features of the layer. For this purpose, a fundamental property of the layer is introduced, named the angular back-scattering coefficient, which describes the fraction of radiation coming from a hemisphere and back-scattered into a specific direction (the observer in our case). This property, easily derived from the phase function of the particle size distribution, can be calculated from any generic single-scattering properties database, which allows for simple upgrades of the reference optical properties within the code. The paper discusses the solutions for mean upward and downward ambient radiances and their use in the simplification of the general radiative transfer equation for thermal infrared. To assess the algorithm performance, the results obtained with the MAMA code are compared with those derived with a discrete ordinate-based radiative transfer model for a large range of physical and optical properties of ice and liquid water clouds and for multiple atmospheric conditions. It is demonstrated that, for liquid water clouds, the MAMA code accuracy is mostly within 0.4 $\mathrm{mW}/\left({\mathrm{m}}^2{\mathrm{cm}}^{-1}\mathrm{sr}\right)$ with respect to the reference code both at far- and mid-infrared wavelengths. Ice cloud spectra are also accurately simulated at mid-infrared for all realistic cloud cases, which makes the MAMA code suitable for the analysis of any spectral measurements of current satellite infrared sounders. At far infrared, the MAMA accuracy is excellent when ice clouds with an optical depth of less than 2 are considered, which is particularly valuable since cirrus clouds are one of the main targets of the future mission FORUM (Far-infrared Outgoing Radiation Understanding and Monitoring) of the European Space Agency. In summary, the MAMA method allows computations of cloudy sky high-resolution radiances over the full longwave spectrum (4–100 $\mathsf{\mu }\mathrm{m}$) in less than a second (for pre-computed gas optical depths and on a standard personal computer). The algorithm exploits the fundamental properties of the scattering layers, and the code can be easily updated in relation to new scattering properties. Full article

The environmental effects of ship propellers were not even close to fully examined before the current massive ships were introduced to sea trade. Larger ships, result in greater length, beam, draft and propulsion power. Of concern here is the under-keel clearance (UKC) and applied power, the most important parameters causing sea bottom sediment resuspension and, consequently, the transport and deposition of washed sediments. The problems are multifarious: shorelines could be contaminated with heavy metals, petroleum hydrocarbons and other organic chemicals, which are sometimes buried deep in the sediment bed. The effects of resuspension on marine life have been well documented by marine biologists. Further, a ship passing through a flow field may have a significant hydrodynamic effect on the shipping channel: waves generated by moving vessels can accelerate shoreline erosion; erosion around quay piles have a negative impact on sea flora. Waves can also affect other manoeuvring vessels or ships at berth. Available empirical models are applicable for a steady state condition, addressing velocity and, consequently, shears at the sea bottom for defined UKC and states of applied power. The idea here is to calculate material resuspension dynamically in the water column based on realistic manoeuvring conditions, which can be a matter of some complexity. During a manoeuvre, the pilot must bring the ship into or out of the harbour in the safest possible way, operating the telegraph, rudder, thrusters and possibly tugs, and also co-ordinating the work of the linesmen. The jet speed powering the vessel is not only a function of the speed of the propeller, but also of the present speed of the ship, which has an effect on the propeller’s constantly changing torque. Additionally, the bathymetry is constantly changing, and the streamlines hit not only the seabed, but also the bank and other structures of the harbour basin. The resuspended material remains in the column long after the ship has finished manoeuvring, moving slowly through the entire water column and being transported not only by the remaining streamlines of the ship but also by general currents. Realistic manoeuvring parameters can be obtained from real-time simulations with a real crew using state-of-the-art Full Mission Bridge Simulators (FMBS); eddies and the like contribute to the distribution and material resuspension and can be calculated by applying numerical modelling. In this paper, a container ship departure manoeuvre is simulated dynamically using Wartsila FMBS obtained data, which are postprocessed and coupled with the MIKE 3 FM hydrodynamic modelling application to which we add the precise port of Koper bathymetry to gain ship propeller spatial jet velocity distribution in specific time domains. Obtained jet velocity distribution is further coupled with the MIKE 3 MT particle tracking application to visualize total resuspended sediment transport patterns, etc. Container ships were selected to amplify the urgency of this phenomenon; they are the most intrusive in terms of resuspending and scouring the seabed given their powerful engines and larger propellers. Passenger ships could have been used, car carriers, or even tankers; but the fear among scientists is that the issue will not be taken seriously enough by certain stakeholders. Full article

As a type of passive architectural structure, wall-mounted solar chimneys enhance the natural ventilation volume of a building’s interior, and maximize reductions in the building’s operational energy consumption. They are indispensable in the building’s energy conservation and emission reduction. Therefore, measuring the wall-mounted solar chimney’s flow characteristics and relevant index parameters is particularly important. This paper uses a combination of full-scale experiments and numerical simulation to conduct a detailed analysis of the wall-mounted solar chimney. Four different radiation models, namely DO (discrete ordinates), S2S (surface-to-surface), MC (Monte Carlo), and Rosseland are used for comparison, and the results of the numerical simulation are compared with the experimental data. The results show that the maximum turbulent viscosity of the fluid predicted by the S2S radiation model is higher than that of the MC and DO models by 16.87% and 8.44%, respectively. The errors of the DO radiation model in the midline and glass cover plate direction concerning the experimental results are only 0.33% and 0.15%, respectively. The mistakes of the MC radiation model in these two directions are 0.51% and 0.47%, respectively. The DO radiation model is more suitable in numerical simulation predictions related to the wall-mounted solar chimney. Full article

This study aimed to address the mental health challenges faced by refugee artists who are grantees of ICORN—the International Cities of Refuge Network—from the perspective of the extended conceptual ADAPT model. The study employed exploratory qualitative research, and data were collected through semi-structured interviews with ICORN artists in Poland, Norway, and Sweden. For data analysis, Interpretive Phenomenological Analysis (IPA) was used, whereas for the presentation of the results, the framework of the ADAPT model was applied. The results showed that the super-ordinate themes that emerged from the IPA analysis related directly to the ADAPT model and could mostly be assigned to its basic pillars: (1) Security; (2) Bonds and Networks; (3) Justice; (4) Roles and Identities; and (5) Existential Meaning. However, the model was insufficient for capturing the full diversity of experiences described by the respondents. Therefore, an extension of the model in the form of two additional pillars, Art and Body and Mind, was proposed. The findings confirm that the ADAPT model is adequate for systematizing and depicting in detail the experiences of migrants/refugees. However, further modifications of the model are necessary, particularly the additional pillar Body and Mind, which has the potential to become a separate category in other migrants’/refugees’ assessment frameworks. Moreover, Art itself could be seen as a universal bridging factor between the refugee and the host population, contributing to the refugees’ adaptation to the host society. Full article