Search Results (280)

Background and Objectives: Celiac disease (CD) is a common gluten-related disorder associated with significantly worsened quality of life. The aim of this pilot study was to evaluate the quality of life of adult celiac patients living in Lithuania and their compliance with a gluten-free diet. Materials and Methods: This cross-sectional study was conducted on individuals aged 18 to 75 years diagnosed with CD and residing within the borders of Lithuania. This pilot study involved 73 participants, comprising 68 females and 5 males. The CD Specific Quality of Life Scale (CD-QOL) consisted of 20 items across four sub-dimensions. Responses to scale items were graded with a score ranging from 1 (not at all) to 5 (very much). The total score obtained from the scale can range up to 100, with a score < 40 classified as poor, 40–50 as moderate, and > 50 as good quality of life. Additionally, ten questions related to gluten-free diet-related quality of life were used. Results: The mean age of diagnosis for females (32.6 ± 11.7) was higher than that for males (22.0 ± 12.1), p < 0.05. The mean self-reported BMI for males (25.8 ± 4.5) was higher than that for females (22.3 ± 5.2), p < 0.05. The mean quality-of-life score (66.4 ± 12.5) was significantly higher in the good quality-of-life group compared to the poor group (33.7 ± 3.9), p < 0.001. Half of the respondents (50.7%) reported that gluten-free products are expensive, and 45.2% confirmed difficulties in dining out on a gluten-free diet. Conclusions: The results of this pilot study indicate that CD is associated with a worsened quality of life and that compliance with a gluten-free diet is primarily influenced by economic factors, such as the high cost of the diet. Full article

Effective maintenance and management of road infrastructure are essential for community well-being, economic stability, and cost efficiency. Well-maintained roads reduce accident risks, improve safety, shorten travel times, lower vehicle repair costs, and facilitate the flow of goods, all of which positively contribute to GDP and economic development. Accurate intersection mapping forms the foundation of effective road asset management, yet traditional manual digitization methods remain time-consuming and prone to gaps and overlaps. This study presents an automated computational geometry solution for precise road intersection mapping that eliminates common digitization errors. Unlike conventional approaches that only detect intersection positions, our method systematically reconstructs complete intersection geometries while maintaining topological consistency. The technique combines plane surveying principles (including line-bearing analysis and curve detection) with spatial analytics to automatically identify intersections, characterize their connectivity patterns, and assign unique identifiers based on configurable parameters. When evaluated across multiple urban contexts using diverse data sources (manual digitization and OpenStreetMap), the method demonstrated consistent performance with mean Intersection over Union greater than 0.85 and F-scores more than 0.91. The high correctness and completeness metrics (both more than 0.9) confirm its ability to minimize both false positive and omission errors, even in complex roadway configurations. The approach consistently produced gap-free, overlap-free outputs, showing strength in handling interchange geometries. The solution enables transportation agencies to make data-driven maintenance decisions by providing reliable, standardized intersection inventories. Its adaptability to varying input data quality makes it particularly valuable for large-scale infrastructure monitoring and smart city applications. Full article

The condition for the formation of fruit on fruit plants is the presence of flower buds, flowering and proper pollination/fertilisation of flowers. Fruit trees and shrubs are perennial plants, and the processes of flower bud formation and flowering are distant in time. The formation of flower buds occurs in the year preceding flowering and fruiting. The number and quality of flowers are the basic factors that determine the potential yield of fruit trees. Therefore, the review focuses on a thorough review of the latest research on the various stages in the development of trees, in which the processes that determine their flowering take place. The greatest emphasis was placed on the influence of factors that determine the yield of trees after the juvenile stage. Climate change leading to global warming will undoubtedly affect the formation of flower buds, which determine the size of crops. To avoid the unforeseen effects of abiotic factors on the availability of raw materials, such as fruits, it is good to diversify the structure of cultivated plants. Most fruit plants come from the Rosaceae family, so they have many pathogens and pests in common. To increase crop, economic, and habitat biodiversity, it is necessary to look for other, more genetically distant, sometimes even less known fruit-bearing species. Full article

Although the transition to electric vehicles (EVs) is well underway and expected to continue in global car markets, most vehicles on the world’s roads will be powered by internal combustion engine vehicles (ICEVs) and fossil fuels for the foreseeable future, possibly well past 2050. Thus, good environmental performance and effective emission control of ICE vehicles will continue to be of paramount importance if the world is to achieve the stated air and climate pollution reduction goals. In this study, we review 228 publications and identify four main issues confronting these objectives: (1) cheating by vehicle manufacturers, (2) tampering by vehicle owners, (3) malfunctioning emission control systems, and (4) inadequate in-service emission programs. With progressively more stringent vehicle emission and fuel quality standards being implemented in all major markets, engine designs and emission control systems have become increasingly complex and sophisticated, creating opportunities for cheating and tampering. This is not a new phenomenon, with the first cases reported in the 1970s and continuing to happen today. Cheating appears not to be restricted to specific manufacturers or vehicle types. Suspicious real-world emissions behavior suggests that the use of defeat devices may be widespread. Defeat devices are primarily a concern with diesel vehicles, where emission control deactivation in real-world driving can lower manufacturing costs, improve fuel economy, reduce engine noise, improve vehicle performance, and extend refill intervals for diesel exhaust fluid, if present. Despite the financial penalties, undesired global attention, damage to brand reputation, a temporary drop in sales and stock value, and forced recalls, cheating may continue. Private vehicle owners resort to tampering to (1) improve performance and fuel efficiency; (2) avoid operating costs, including repairs; (3) increase the resale value of the vehicle (i.e., odometer tampering); or (4) simply to rebel against established norms. Tampering and cheating in the commercial freight sector also mean undercutting law-abiding operators, gaining unfair economic advantage, and posing excess harm to the environment and public health. At the individual vehicle level, the impacts of cheating, tampering, or malfunctioning emission control systems can be substantial. The removal or deactivation of emission control systems increases emissions—for instance, typically 70% (NO_x and EGR), a factor of 3 or more (NO_x and SCR), and a factor of 25–100 (PM and DPF). Our analysis shows significant uncertainty and (geographic) variability regarding the occurrence of cheating and tampering by vehicle owners. The available evidence suggests that fleet-wide impacts of cheating and tampering on emissions are undeniable, substantial, and cannot be ignored. The presence of a relatively small fraction of high-emitters, due to either cheating, tampering, or malfunctioning, causes excess pollution that must be tackled by environmental authorities around the world, in particular in emerging economies, where millions of used ICE vehicles from the US and EU end up. Modernized in-service emission programs designed to efficiently identify and fix large faults are needed to ensure that the benefits of modern vehicle technologies are not lost. Effective programs should address malfunctions, engine problems, incorrect repairs, a lack of servicing and maintenance, poorly retrofitted fuel and emission control systems, the use of improper or low-quality fuels and tampering. Periodic Test and Repair (PTR) is a common in-service program. We estimate that PTR generally reduces emissions by 11% (8–14%), 11% (7–15%), and 4% (−1–10%) for carbon monoxide (CO), hydrocarbons (HC), and oxides of nitrogen (NO_x), respectively. This is based on the grand mean effect and the associated 95% confidence interval. PTR effectiveness could be significantly higher, but we find that it critically depends on various design factors, including (1) comprehensive fleet coverage, (2) a suitable test procedure, (3) compliance and enforcement, (4) proper technician training, (5) quality control and quality assurance, (6) periodic program evaluation, and (7) minimization of waivers and exemptions. Now that both particulate matter (PM, i.e., DPF) and NO_x (i.e., SCR) emission controls are common in all modern new diesel vehicles, and commonly the focus of cheating and tampering, robust measurement approaches for assessing in-use emissions performance are urgently needed to modernize PTR programs. To increase (cost) effectiveness, a modern approach could include screening methods, such as remote sensing and plume chasing. We conclude this study with recommendations and suggestions for future improvements and research, listing a range of potential solutions for the issues identified in new and in-service vehicles. Full article

Background: With COVID-19 having a significant impact on economic activity, it has become difficult for the existing dynamic factor models (nowcasting models) to forecast macroeconomics with high accuracy. The real-time monitoring of macroeconomics has become an important research problem faced by banks, governments, and corporations. Subjects and Methods: This paper proposes an adaptive evolutionary causal dynamic factor model (AcNowcasting) for macroeconomic forecasting. Unlike the classical nowcasting models, the AcNowcasting algorithm has the ability to perform feature selection. The criteria for feature selection are based on causality strength rather than being based on the quality of the prediction results. In addition, the factors in the AcNowcasting algorithm have the capacity for adaptive differential evolution, which can generate the best factors. These two abilities are not possessed by classical nowcasting models. Results: The experimental results show that the AcNowcasting algorithm can extract common factors that reflect macroeconomic fluctuations better, and the prediction accuracy of the AcNowcasting algorithm is more accurate than that of traditional nowcasting models. Contributions: The AcNowcasting algorithm provides a new prediction theory and a means for the real-time monitoring of macroeconomics, which has good theoretical and practical value. Full article

Waste wheat straw (WS) is a common agricultural waste with a low acquisition cost and a high annual yield, making it a promising feedstock for a biorefinery. In this work, efficient co-production of reducing sugars and xylo-oligosaccharides (XOSs) from WS was realized through FeCl₃-assisted p-toluene sulfonic acid (PTSA) pretreatment. The effects of reaction conditions (PTSA content, FeCl₃ loading, pretreatment duration, and temperature) on lignin and xylan elimination and enzymolysis were analyzed. The results manifested that the enzymolysis of WS substantially elevated from 22.0% to 79.3% through the treatment with FeCl₃-PTSA/water (120 °C, 60 min). The xylan removal and delignification were 79.7% and 66.6%, respectively. XOSs (4.0 g/L) were acquired in the pretreatment liquor. The linear fitting about LogR₀ with enzymolysis, delignification, xylan elimination and XOSs content was investigated to explain the reasons for the elevated enzymolysis and to clarify the comprehensive understanding of WS enzymolysis through the FeCl₃-PTSA/water treatment. In addition, the recycling test of FeCl₃-PTSA/water manifested a good recycling ability for WS treatment, which would reduce the pretreatment cost and enhance the economic benefit. To sum up, FeCl₃-assisted PTSA treatment of biomass for co-production of reducing sugars and XOSs is an alternative method of waste biomass valorization. Full article

This study investigated the effects of fermented Chinese herb (FCH) on the growth indices, leukocyte activity, and biochemical indices of carp (Cyprinus carpio). Astragalus membranaceus (AM), Pericarpium Citri Reticulatae (PCR), and Glycyrrhizae Radix et Rhizoma (GRR) as feed additives enhance immune function, promote growth, and exert anti-inflammatory effects, respectively. Therefore, this study investigated the effects of co-fermented blends of these three herbs on growth performance and related parameters in common carp. By adding 2%, 5%, and 10% of the FCH to co-incubate with carp leukocytes, the results show that all three experimental treatments could enhance the respiratory burst activity and phagocytic activity of carp leukocytes. After 28 days of feeding with basal feed supplemented with 2%, 5%, and 10% (w/v) of the FCH, the weight gain rate and specific growth rate of carp were significantly higher than those of the control treatment without additives (ANOVA, p < 0.05), with the 5% treatment showing the highest. The activities of intestinal digestive enzymes were significantly increased (ANOVA, p < 0.05). On the 21st day, the activities of amylase (AMS), lipase (LPS), and chymotrypsin were increased compared to the control treatment. The 5% and 10% treatments showed significantly higher intestinal digestive enzyme activities compared to the 2% treatment. The serum superoxide dismutase (SOD) levels in both the control and experimental treatments initially increased and then decreased, with all three experimental treatments having higher levels than the control treatment. The activities of liver glutamic-oxaloacetic transaminase (GOT) and glutamic-pyruvic transaminase (GPT) in the experimental treatments showed no significant changes compared to the control treatment (ANOVA, p > 0.05). However, the serum GPT activity in the 5% treatment was significantly lower than that of the control treatment (ANOVA, p < 0.05), while no significant differences were observed in the other treatments. The results indicate that adding 2~10% of FCH to carp feed can improve intestinal digestion, enhance phagocytic activity and the body’s antioxidant defense capabilities, and effectively promote the growth of carp. It can significantly improve farming efficiency and economic benefits, reduce dependence on chemical drugs, and lower environmental pollution, showing good application prospects in production. Full article

Low-cost powdered activated coke (PAC) produced by a one-step rapid method with lignite was used as an adsorbent for the advanced treatment of phenol-containing wastewater to evaluate the feasibility of replacing high-cost commercial powdered activated carbon. Characterization using infrared spectral analysis, SEM, and BET showed that the PAC mesopores were well developed. PAC exhibited a high adsorption performance for phenol in static experiments. The adsorption was almost in equilibrium within 20 min, and the removal efficiency reached 85.4% with 1.5 g L⁻¹ PAC and 99.9% with 4 g L⁻¹ PAC. As common components in wastewater, NaCl and Na₂SO₄ did not exhibit significant competitive adsorption with phenol in PAC. The adsorption process occurred in accordance with the Langmuir model and the pseudo-second order kinetic model. Furthermore, the effects of hydrothermal regeneration on PAC adsorbing phenol were studied, and the adsorption capacity of PAC after five regeneration cycles was 86.1% of that of the new PAC, which still had good adsorption performance. PAC offers significant advantages in terms of adsorption capacity, economic feasibility, regeneration, and recycling, providing a practical solution to the problem of phenol-containing wastewater pollution. Full article

Honeybees provide a variety of services and products that are beneficial to humans, including pollination, honey, propolis, and other harvested products. In South Africa, it is believed that honey harvesting from wild (unmanaged) honeybee (Apis mellifera L.) colonies is widely practiced. However, there is limited knowledge regarding this practice. Using structured questionnaire surveys and site visits for validation, we aimed to (1) confirm the practice of honey harvesting and ascertain the extent to which it is practiced; and (2) quantify the economic benefits of this practice to communities’ livelihoods. We found that honey and other products (i.e., brood and pollen) harvesting from wild honeybee colonies is still a common practice among the rural communities of selected areas within the Vhembe District, which was confirmed by 44% of the respondents. These products are either consumed by the harvesters or sold, helping to generate total household incomes ranging from R500.00 ($26USD) to R2000.00 ($112USD) South African Rands (ZAR), which contribute towards offsetting various household costs. Although the overall population and health status of the wild honeybees in the area is unknown, the survey respondents (29%) indicated that they are generally healthy. From these findings, we were able to establish a good level of dependence on wild honeybee colonies by rural communities for income generation, albeit at a small scale. Given the wide array of pressures on insect pollinators, particularly honeybees, from factors such as habitat loss, climate change, pests, pathogens, and pesticides, our findings serve as a strong basis for considering protection and preservation mechanisms for these populations. These could be accommodated under various local and provincial conservation efforts, especially those preventing habitat loss. Full article

Cardiovascular diseases represent one of the major problems faced by modern society. In addition to reducing people’s quality of life, bringing high costs to the health system, and causing losses in economic productivity, they are the leading cause of death in the world. Early diagnosis and treatment are the best actions to minimize the damage and costs caused by these diseases. For this, developing techniques and technologies that have higher accuracy in the analysis of electrocardiogram (ECG) signals is necessary. Early diagnosis benefits from relevant ECG interpretation. Then, it can contribute to reducing healthcare costs by replacing interventionist responses with preventive actions. This work presents a method and system for heart rate estimation using Linear Prediction Coefficients (LPCs) centered on an ESP32 microprocessor module and an AD8232 ECG signal conditioning module. The proposal was validated with a Tektronix AFG1022 function generator that produces ECG signals and obtained measurements with accuracy above 98.87%, showing performance similar to studies presented in the literature. Also, the LPC algorithm showed good performance in rejecting low-frequency noise caused by some common artifacts, such as body movement and electrode displacement. Full article

Water problems extend beyond the watershed of local communities and single countries. A novel governance approach must comprise coordination and institutional arrangements at the global scale, and rely on a set of axioms that guide the decision-making and actions of various stakeholders involved in water-related issues. These principles must reflect the awareness of water paradigms across history and geography, as well as the economic, social, environmental, and ethical dimensions of water, aiming at ensuring its sustainable and equitable use, driving governance towards recognizing the value of water for public health and social cohesion, the link of landscape and identity values to water bodies, the social, aesthetic-recreational, and symbolic values of water across the world, and the functions of water in nature. The principles presented here include the human right to water, ecosystem centrality, the principles of shared integration, precautionary, responsibility, and subsidiarity, along with the concept of the common good. The assessment of principles of water governance is essential for implementing any guideline of water management aimed not only at efficiency and security, but at equity and sustainability of water supply and flood mitigation in a globalized and conflict-ridden world. Full article

The multivariate Vasicek model is commonly used to capture mean-reverting dynamics typical for short rates, asset price stochastic log-volatilities, etc. Reparametrizing the discretized problem as a VAR(1) model, the parameters are oftentimes estimated using the multivariate least squares (MLS) method, which can be susceptible to outliers. To account for potential model violations, a maximum trimmed likelihood estimation (MTLE) approach is utilized to derive a system of nonlinear estimating equations, and an iterative procedure is developed to solve the latter. In addition to robustness, our new technique allows for reliable recovery of the long-term mean, unlike existing methodologies. A set of simulation studies across multiple dimensions, sample sizes and robustness configurations are performed. MTLE outcomes are compared to those of multivariate least trimmed squares (MLTS), MLE and MLS. Empirical results suggest that MTLE not only maintains good relative efficiency for uncontaminated data but significantly improves overall estimation quality in the presence of data irregularities. Additionally, real data examples containing daily log-volatilities of six common assets (commodities and currencies) and US/Euro short rates are also analyzed. The results indicate that MTLE provides an attractive instrument for interest rate forecasting, stochastic volatility modeling, risk management and other applications requiring statistical robustness in complex economic and financial environments. Full article

The post-modern era is characterized by a structural religious pluralism, whereby the public dimension of religion has re-emerged as a prominent feature after the relative obscurity of the modern period. In the context of Christianity, the contribution of religion to the common good has been reflected upon in the extensive and profound field of Public Theology. Since its inception in the 1980s, this vast area of studies has encompassed a wide range of topics, including politics, civil society, economics, social issues, and justice. However, the interreligious dimension of public theology appears to be less developed. This is linked, firstly, to the discovery of the public dimension of neighbouring religions and, secondly, to the clarification of the relationship between this and Christian Public Theology. It is evident that the focus of this discussion is the development of a Comparative Public Theology as Interreligious Public Theology. This is a theology that considers the comparative study of religions in a pluralistic context, with the public aspect as its background. On this basis, the contribution has two main aims. Firstly, to identify the field of interreligious public theology, and secondly to concretise it by exploring the field of education from an interreligious and public perspective, i.e., as a contribution to the common good. Full article

Many tasks in a modern household are performed by machines, e.g., a dishwasher or a vacuum cleaner, and in the near future most household tasks will be performed by smart service robots. This will relieve the residents, who in turn can enjoy their free time. This newly gained free time will turn out to cause the so-called spare time rebound effect due to more resource consumption. We roughly quantify this rebound effect and propose a CO₂-budget model to reduce or even avoid it. In modern industry, automation and AI are taking over work from humans, leading to higher productivity of the company as a whole. This is the main reason for economic growth, which leads to environmental problems due to higher consumption of natural resources. We show that, even though the effects of automation at home and in the industry are different (free time versus higher productivity), in the end they both lead to more resource consumption and environmental pollution. We discuss possible solutions to this problem, such as carbon taxes, emissions trading systems, and a carbon budget. Full article

This study explores the link between the Sustainable Development Goals (SDGs) and the process of identifying and assessing occupational risks in industrial and organizational environments, highlighting the importance of these goals in promoting a safe, healthy, and sustainable work environment. In the center of this analysis are SDG 3 (“Good Health and Well-Being”) and SDG 8 (“Decent Work and Economic Growth”), which highlight the need to create working conditions that prioritize the safety of workers. The study analyzes the correlation between the implementation of these global objectives and occupational risk management processes. Research results indicate that linking the Sustainable Development Goals (SDGs) to these processes reduces the incidence of accidents and occupational diseases and also contributes to the achievement of global sustainability goals. An integrated approach improves the resilience of organizations, promotes equity in the professional environment, and supports sustainable economic development. The findings of the study offer important insights for policymakers, managers, and researchers, indicating that adopting a common framework for sustainability and occupational safety can bring significant benefits at local and global levels. Thus, the research encourages the widespread application of this integrative model in organizational policies and practices. Full article