Search Results (1,385)

Tourist perceived value is an important antecedent to loyalty by enhancing satisfaction, revisiting intentions, and recommendations, thereby promoting sustainable development of forest parks. However, existing research has not sufficiently examined the configurations of perceived value in relation to increasing tourist loyalty specifically in the context of forest parks, representing a notable gap in the existing literature that requires further investigation. To address this gap, both covariance-based structural equation model (CB-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) models were conducted to explore the joint effects of perceived value on tourist loyalty and identify pathways of perceived value dimensions to increase tourist loyalty, based on the Value-Satisfaction-Loyalty Chain model. A total of 404 valid questionnaires were collected from 436 visitors to the Yingde National Forest Park in southern China. Among the respondents, 54.2% were male, nearly 50% were over 36 years old, and 60% held a university degree. The results indicate that perceived value significantly influences tourist loyalty, with satisfaction playing a crucial mediating role between perceived value and loyalty. Notably, the indirect effect mediated by satisfaction was found to be greater than the direct effect of perceived value on loyalty. Five distinct pathways were identified for enhancing tourist loyalty, categorized into three models: the economic value-driven model, the functional value and epistemic value dual-core driven model, and the emotional and social value dual-core driven model. Additionally, four pathways were identified for enhancing tourist satisfaction, which subsequently improves tourist loyalty. These four pathways were grouped into two modes: the economic value-driven model and the functional value plus driven model. This study introduces an innovative perspective on the relationship between tourist perceived value and loyalty in forest parks, identifying key factors and configurations within the five dimensions of perceived value that enhance both tourist loyalty and satisfaction. Moreover, it extends the application of the Value-Satisfaction-Loyalty Chain theory to a forest park context. The findings provide valuable insights for forest park managers, guiding them in enhancing perceived value through targeted pathways to increase tourist revisit intentions and recommendations, ultimately supporting the park’s sustainable development. The influence of individual items on tourist satisfaction and loyalty, along with the identification of optimal item combinations to enhance loyalty, necessitates further investigation. Furthermore, a deeper exploration of the heterogeneity of factors and pathways for improving tourist loyalty is required. Full article

Phytoplankton comprise the base of the food web in estuaries and their biomass and rates of growth (productivity) exert a bottom-up control in pelagic ecosystems. Reliable means to quantify biomass and productivity are crucial for managing estuarine ecosystems. In many estuaries, direct productivity measurements are rare and instead are estimated with biomass-based models. A seminal example of this is a light utilization model (LUM) used to predict productivity in the San Francisco Estuary and Delta (SFED) from long timeseries data using an efficiency factor, ψ. Applications of the LUM in the SFED, Chesapeake Bay, and the Dutch Scheldt Estuary highlight significant interannual and regional variability, indicating the model must be recalibrated often. The objectives of this study are to revisit the LUM approach in the SFED and assess a chlorophyll-a to carbon model (CCM) that produces a tuning parameter, Ω. To assess the estimates of primary productivity resulting from the models, productivity was directly measured with a ¹³C-tracer at nine locations during 22 surveys using field-derived phytoplankton incubations between March and November of 2023. For this study, ψ was determined to be 0.42 ± 0.02 (r² = 0.89, p < 0.001, CI₉₅ = 319). Modeling productivity using an alternative CCM approach (Ω = 3.47 × 10⁴ ± 1.7 × 10³, r² = 0.84, p < 0.001, CI₉₅ = 375) compared well to the LUM approach, expanding the toolbox for estuarine researchers to cross-examine productivity models. One practical application of this study is that it confirms an observed decline in ψ, suggesting a decline in light utilization by phytoplankton in the SFED. This highlights the importance of occasionally recalibrating productivity models in estuaries and leveraging multiple modeling approaches to validate estimations before application in ecological management decision making. Full article

Background: Dermatological emergencies are critical conditions requiring immediate attention due to their potential to escalate into life-threatening scenarios. Accurate diagnosis and timely management are essential to prevent severe complications, including systemic involvement and mortality. This systematic review summarizes findings on dermatological emergencies in emergency departments (EDs), focusing on diagnostic accuracy, hospitalization rates, systemic complications, and management strategies. Methods: A systematic literature review of studies on dermatological emergencies was conducted, encompassing 24 prospective and retrospective cohort studies, cross-sectional studies, and descriptive analyses. The review included diverse patient populations, examining dermatological presentations, diagnostic methods, treatment strategies, hospitalization rates, and adverse outcomes. Key outcome measures such as diagnostic accuracy, complications, mortality rates, and re-visit frequencies were analyzed. Results: The studies revealed high diagnostic accuracy, particularly in in-person evaluations, with teledermatology showing slightly lower but reliable rates. Systemic complications, including severe drug reactions, bacterial infections, and autoimmune diseases, were common causes of hospitalization. Mortality rates varied, with conditions such as toxic epidermal necrolysis showing the highest risk. Hospitalization rates averaged 4.52%, and re-visit rates ranged from 1% to 6.5%. The results also highlighted the impact of environmental factors and seasonal trends on dermatological presentations. Conclusions: Dermatological emergencies pose significant challenges in emergency care. High diagnostic accuracy and effective management strategies are crucial in preventing severe outcomes. Timely diagnosis, careful management of systemic complications, and teledermatology play critical roles in improving care. Future research should focus on standardized management protocols, telemedicine applications, and the influence of environmental and demographic factors to enhance patient outcomes. Full article

The present study is based on a follow-up of a survey carried out in 2000, consisting in the revisitation of ten sites, with the scope of assessing changes in the composition and richness of epiphytic macrolichens within Cluj-Napoca city over the past 24 years. Within this period most of the polluting factories from the city outskirts were closed but in turn, the number of registered cars increased almost six-fold. An increasing compositional homogenization by contribution of generalist, stress-tolerant species was detected over time while total lichen taxa richness declined, which is mostly imputable to the synergic effects of intense car traffic and warmer/drier summers. Most sites displayed a compositional change along a weak, mixed gradient of eutrophication and xerophitization. Only two sites (located on the windy, Someș valley bottom) experienced a compositional change from higher to lower trophicity levels. Other two sites (positioned on more sheltered hillsides) displayed unfavourable dynamics in terms of lost species. Unexpectedly, the number of epiphytic lichen taxa at site level has, on average, increased over time, but the main contributors were poleotolerant species. The warming trend, due to climate change and local heat sources, is expected to worsen the negative effects of air-borne pollutants on the composition of the epiphytic lichen species pool within the Cluj-Napoca urban area. Full article

In the current era of heightened awareness regarding the impact of food choices, there has been a noticeable shift towards revisiting traditional ingredients. Following the growing interest in ancient grains, this study evaluated their potential use for enriching modern wheat dough and bread. The effects of substituting 20% of wheat flour with the bran of seven ancient grains on dough’s rheological properties and bread quality were assessed. The bran-enriched doughs maintained high stability (ST) values and showed an enhanced elastic behavior compared to the control. Nonetheless, a reduction in dough extensibility (E) was also noted. In terms of bread measurements, all bran-enriched breads exhibited a lower specific volume and a darker crust and crumb compared to the control bread. However, not all of the bran breads showed a harder and chewier loaf texture. The composite breads also exhibited enhanced total dietary fiber (TDF) and polyphenol content. A sensory evaluation revealed that Garfagnana (GAR) and Norberto (NOR) bran-breads received the highest overall liking scores. In conclusion, the incorporation of ancient grain brans presents a promising approach to enhancing modern wheat doughs and breads, offering nutritional benefits without significantly compromising their sensory and textural properties. Full article

The Interferometric Synthetic Aperture Radar (InSAR) has significantly advanced in its usage for analyzing surface information such as displacement or elevation. In this study, we evaluated a digital elevation model (DEM) constructed using X-band KOMPSAT-5 interferometric datasets provided by the Korea Aerospace Research Institute (KARI). The 28-day revisit cycle of KOMPSAT-5 poses challenges in maintaining interferometric correlation. To address this, four KOMPSAT-5 images were employed in a multi-baseline interferometric approach to mitigate temporal decorrelation effects. Despite the slightly longer temporal baselines, the analysis revealed sufficient coherence (>0.8) in three interferograms. The height of ambiguity ranged from 59 to 74 m, which is a moderate height of sensitivity to extract topography over the study area of San Francisco in the USA. Unfortunately, only ascending acquisition mode datasets were available for this study. The derived DEM was validated against three reference datasets: Copernicus GLO-30 DEM, ICESat-2, and GEDI altimetry. A high coefficient of determination (R² > 0.9) demonstrates the feasibility of the interferometric application of KOMPSAT-5. Full article

Background: Allergy to Alternaria alternata (Alt a), although often underdiagnosed, is a significant global health issue. In the allergen immunotherapy (AIT) field, novel therapeutic strategies are emerging, particularly with the advent of polymerized allergoids. This study aims to evaluate the efficacy of subcutaneous immunotherapy (SCIT) based on these innovative molecules in children with respiratory allergies, assessing clinical and functional parameters. Methods: We enrolled 42 patients aged between 6 and 16 years, all of whom had allergic rhinitis (AR) and concomitant asthma and all of whom were monosensitized to Alt a. Between December 2020 and December 2021, 17 patients initiated SCIT with Modigoid^® for Alt a1, while 25 patients continued with standard therapy. At the initial visit (T0), all the patients underwent nasal and bronchial evaluation, including exhaled nitric oxide (eFeNO) measurement and spirometry. The Asthma Control Test (ACT) was used to evaluate the control of asthma symptoms. Patients were followed up every 6 months, with a comprehensive re-evaluation at 24 months (T1) replicating the initial assessments. Results: After 24 months of SCIT with the new polymerized molecular allergoid Alt a1 (Modigoid^®), children showed a statistically significant reduction in eFeNO levels, improved FEV1 values, and enhanced ACT scores. Conclusions: SCIT with the new molecular allergoid Alt a1 significantly improves functional parameters (FEV1 and eFeNO) and subjective asthma symptoms (ACT scores) in children with AR and objective asthma signs. This treatment represents an effective preventive strategy that can be used to halt the progression of the classic atopic march from AR to asthma and potentially reverse the atopic march. Full article

Customers’ intentions to avoid a product or service tend to be dynamic. Thus, this study aims to explore the influence of trajectory changes in customers’ avoidance after service recovery on relationship strength, negative word-of-mouth (WOM) intentions, and revisit intentions. Using a longitudinal approach with three-month lag intervals, we implement a latent growth model analysis to test our proposed hypotheses. Our findings demonstrate that customers’ desire to engage in avoidance after a service failure evolves, but its impact wanes. As avoidance decreases, negative WOM intentions likewise decline, and intentions to revisit a firm (which, in this study, is a travel agency) increase, thereby attenuating an avoidance-becomes-defection effect over time. Meanwhile, relationship strength initially grows but then weakens after service recovery. In contrast, negative WOM intentions slightly decrease from the early to mid-stage, followed by an increase in the late stage. Furthermore, relationship strength does not affect negative WOM or revisit intentions at the subsequent service recovery phase. Our findings offer innovative insights into upgrading customer avoidance perspectives regarding service recovery. We also present managerial implications regarding service recovery and customer relationship strategies that vary over time. Full article

Background/Objectives: We sought to assess the relationship between contrast sensitivity (CS) and optical coherence tomography (OCT) findings, including ganglion cell–inner plexiform layer (GCIPL) thickness, in eyes with cystoid macular edema, secondary to branch retinal vein occlusion (BRVO-CME), treated with intravitreal ranibizumab (IVR). Methods: This prospective study included 44 patients with BRVO-CME who underwent treatment with IVR (three monthly injections and pro re nata) and were followed up for 12 months. We collected data on CS, best-corrected visual acuity (BCVA), and OCT findings (ellipsoid zone [EZ] and external limiting membrane status [ELM], central foveal thickness [CFT], and average GCIPL thickness) at the time of the final visit when macular edema was resolved. Multiple regression analysis was used to evaluate the relationship between visual functions and OCT findings, age, and lens status. Results: Multiple regression analysis revealed that lower GCIPL thickness was significantly associated with worse CS (β = 0.008; 95% CI, 0.002–0.014; p = 0.011), whereas this was not the case with BCVA. Lower CFT and mild cataracts were also associated with worse CS (CFT: β = 0.003; 95% CI, 0.001–0.004; p = 0.001; mild cataract: β = −0.182; 95% CI, −0.286–−0.078; p = 0.001) and worse BCVA (CFT: β = −0.002; 95% CI, −0.003–−0.001; p < 0.001; mild cataract: β = 0.079; 95% CI, 0.008–0.150; p = 0.029). Conclusions: GCIPL thickness may serve as a valuable biomarker for CS in eyes with BRVO-CME following IVR treatment. Full article

The COVID-19 pandemic accelerated the shift to digital education as universities across the world rapidly adopted virtual classrooms for remote learning. Ensuring continuous student engagement in virtual environments remains one of the key challenges. This paper discusses how AI and data analytics are being applied to education, particularly the ways in which technologies such as biometrics and facial recognition can be used to improve student engagement in online and hybrid learning environments. This paper tries to revisit the dynamics of engagement across virtual platforms by comparing traditional learning models and digital learning models and showing the gaps that exist. This study reviewed six widely used video conferencing tools and their effectiveness in fostering engagement in virtual classrooms. The research goes on to investigate cross-cultural tech adoption in education—how regions and educational systems respond to these emerging technologies. Against this background of the challenges identified, a new application, “CONNECT”, is proposed in this paper that can integrate AI-driven features on face recognition and speech-to-text and attendance monitoring to enable real-time authentication and tracking of engagement. This study also provides an overview of the theoretical models of digital, hybrid, and blended learning and provides actionable recommendations for future research and innovation in cross-cultural online education. Full article

III-nitrides are crucial materials for solar flow batteries due to their versatile properties. In contrast to the well-studied MOVPE reaction mechanism for AlN and GaN, few works report gas-phase mechanistic studies on the growth of InN. To better understand the reaction thermodynamics, this work revisited the gas-phase reactions involved in metal–organic vapor-phase epitaxy (abbreviated as MOVPE) growth of InN. Utilizing the M06-2X function in conjunction with Pople’s triple-ζ split-valence basis set with polarization functions, this work recharacterized all stationary points reported in previous literature and compared the differences between the structures and reaction energies. For the reaction pathways which do not include a transition state, rigorous constrained geometry optimizations were utilized to scan the PES connecting the reactants and products in adduct formation and XMIn (M, D, T) pyrolysis, confirming that there are no TSs in these pathways, which is in agreement with the previous findings. A comprehensive bonding analysis indicates that in TMIn:NH₃, the In-N demonstrates strong coordinate bond characteristics, whereas in DMIn:NH₃ and MMIn:NH₃, the interactions between the Lewis acid and base fragments lean toward electrostatic attraction. Additionally, the NBO computations show that the H radical can facilitate the migration of electrons that are originally distributed between the In-C bonds in XMIn. Based on this finding, novel reaction pathways were also investigated. When the H radical approaches MMInNH₂, MMIn:NH₃ rather than MMInHNH₂ will generate and this is followed by the elimination of CH₄ via two parallel paths. Considering the abundance of H₂ in the environment, this work also examines the reactions between H₂ and XMIn. The Mulliken charge distributions indicated that intermolecular electron transfer mainly occurs between the In atom and N atom whiling forming (DMInNH₂)₂, whereas it predominately occurs between the In atom and the N atom intramolecularly when generating (DMInNH₂)₃. Full article

This paper deals with developing a comparative study of the principal time-domain system identification methods suitable for performing an experimental modal analysis of structural systems. To this end, this work focuses first on analyzing and reviewing the mathematical background concerning the analytical methods and the computational algorithms of interest for this study. The methods considered in the paper are referred to as the AutoRegressive eXogenous (ARX) method, the State-Space ESTimation (SSEST) method, the Numerical Algorithm for Subspace State-Space System Identification (N4SID), the Eigensystem Realization Algorithm (ERA) combined with the Observer/Kalman Filter Identification (OKID) method, and the Transfer Function ESTimation (TFEST) method. Starting from the identified models estimated through the methodologies reported in the paper, a set of second-order configuration-space dynamical models of the structural system of interest can also be determined by employing an estimation method for the Mass, Stiffness, and Damping (MSD) matrices. Furthermore, in practical applications, the correct estimation of the damping matrix is severely hampered by noise that corrupts the input and output measurements. To address this problem, in this paper, the identification of the damping matrix is improved by employing the Proportional Damping Coefficient (PDC) identification method, which is based on the use of the identified set of natural frequencies and damping ratios found for the case study analyzed in the paper. This work also revisits the critical aspects and pitfalls related to using the Model Order Reduction (MOR) approach combined with the Balanced Truncation Method (BTM) to reduce the dimensions of the identified state-space models. Finally, this work analyzes the performance of all the fundamental system identification methods mentioned before when applied to the experimental modal analysis of flexible structures. This is achieved by carrying out an experimental campaign based on the use of a vibrating test rig, which serves as a demonstrative example of a typical structural system. The complete set of experimental results found in this investigation is reported in the appendix of the paper. Full article

The Amazon rainforest plays a fundamental role in regulating the global climate and therefore receives special attention when Brazilian environmental issues gain prominence on the global stage. However, other Brazilian biomes, such as the Pampa and the Atlantic Forest in southern Brazil, have been facing significant environmental challenges, either independently or under the influence of ecological changes observed in the Amazon region. The state of Rio Grande do Sul is located in the extreme south of Brazil and in 2024 was hit by major rainfalls that caused devastating floods. The Pampa is a non-forest biome found in Brazil only in Rio Grande do Sul. This biome is seriously threatened by loss of vegetation cover and many classes of pollutants, including pesticides and plastics. Mining ventures are also important sources of soil, water and air pollution by potentially toxic elements in Rio Grande do Sul, threatening both the Pampa and the Atlantic Forest. Furthermore, southern Brazil is often affected by pollution caused by smoke coming from fires observed in distant biomes such as the Pantanal and the Amazon. Considering the significant environmental challenges observed in southern Brazil, this article revisits the historical participation of Rio Grande do Sul in Brazilian environmentalism and highlights the main environmental challenges currently observed in the state, followed by an in-depth analysis of the effects of pollution and extreme weather events on biodiversity and human health in the region. This review encompassed specifically the following categories of pollutants: potentially toxic elements (e.g., arsenic, cadmium, chromium, cobalt, copper, lead, mercury, titanium), air pollutants, plastics, and pesticides. Pathogen-related pollution in the context of extreme weather events is also addressed. This article emphasizes the critical importance of often-overlooked biomes in Brazilian conservation efforts, such as the Pampa biome, while also underscoring the interconnectedness of climate change, pollution, their shared influence on human well-being and ecological balance, using Rio Grande do Sul as a case study. Full article

Characterized by frequent earthquakes and a dense population, Yunnan Province, China, faces significant seismic hazards and is a hot place for earthquake forecasting research. In a previous study, we evaluated the performance of the b value for 5-year seismic forecasting during 2000–2019 and made a forward prediction of M ≥ 5.0 earthquakes in 2020–2024. In this study, with the forecast period having passed, we first revisit the results and assess the forward prediction performance. Then, the background seismicity rate, which may also offer valuable long-term forecasting information, is incorporated into earthquake prediction for Yunnan Province. To assess the effectiveness of the prediction, the Molchan Error Diagram (MED), Probability Gain (PG), and Probability Difference (PD) are employed. Using a 25-year catalog, the spatial b value and background seismicity rate across five temporal windows are calculated, and 86 M ≥ 5.0 earthquakes as prediction samples are examined. The predictive performance of the background seismicity rate and b value is comprehensively tested and shown to be useful for 5-year forecasting in Yunnan. The performance of the b value exhibits a positive correlation with the predicted earthquake magnitude. The synergistic effect of combining these two predictors is also revealed. Finally, using the threshold corresponding to the maximum PD, we integrate the forecast information of background seismicity rates and the b value. A forward prediction is derived for the period from January 2025 to December 2029. This study can be helpful for disaster preparedness and risk management in Yunnan Province, China. Full article

Background/Objectives: Zika fever is a disease caused by the Zika virus (ZIKV). Symptomatic cases may be associated with neurological disorders in adults, as well as congenital Zika syndrome and other birth defects during pregnancy. In 2016, Zika fever was considered a public health problem by the World Health Organization (WHO), highlighting the need to develop new therapies against the disease. Currently, there is no antiviral or vaccine available to treat or prevent severe cases. Due to the lack of available therapeutics and few promising hit molecules, we computationally screened the well-described ZIKV protease (NS3^pro) as a drug target to revisit the small-molecule database Brazilian Compound Library (BraCoLi) and select potential inhibitors. Methods: We employed a consensus docking screening of a library of 1176 compounds using GOLD and DockThor. We selected 28 hits based on predicted binding affinity, and only the remnants of three compounds were available in the library at the time of this study for experimental validation. The hits were evaluated for their cytotoxic (CC₅₀) and effective concentrations (EC₅₀) for their potential antiviral activity in Vero cells. Results: The three hit compounds presented modest CC₅₀ values of 89.15 ± 3.72, >100, and 29.67 ± 1.01 μM, with the latter, a carbohydrate derivative, having an EC₅₀ value of >12.5 μM (~40% inhibition) against ZIKV PE243. Additionally, the essentially non-toxic compound, an arylfuran derivative, also inhibited the ZIKV NS3^pro with an IC₅₀ value of 17 μM but presented evidence of acting through a promiscuous mechanism for enzyme inhibition. Conclusion: This study highlights the relevance of revisiting existing small-molecule assets to identify novel therapeutic starting points against ZIKV, aiming for potential lead candidates in the future. Full article