Search Results (4,632)

Carpomya vesuviana (Diptera: Tephritidae), a significant invasive forestry pest of Zizyphus crops worldwide, has spread globally across jujube-growing regions, causing substantial yield losses and economic damage. In China, it is classified as both an imported and forestry quarantine pest. Existing risk assessments have primarily focused on the potential geographical distributions (PGDs) of C. vesuviana, but its economic impact on host plants is unknown. Therefore, we used an optimised MaxEnt model based on species distribution records and relevant environmental variables to predict the PGDs of C. vesuviana under current and future climate scenarios. Meanwhile, we used the @RISK stochastic model to assess the economic impact of this pest on the Chinese jujube industry under various scenarios. The results showed that the human influence index (HII), mean temperature of the wettest quarter (Bio8), temperature seasonality (Bio4), and precipitation during the driest month (Bio14) were the significant environmental variables affecting species distribution. Under the current climatic scenario, the total suitable area of C. vesuviana reached 2171.39 × 10⁴ km², which is mainly distributed in southern and western Asia, southern Europe, central North America, western Africa, and eastern South America. Potentially suitable habitats will increase and shift to the middle and high latitudes of the Northern Hemisphere under future climatic scenarios. Under the no-control scenario, C. vesuviana could cause losses of 15,687 million CNY to the jujube industry in China. However, control measures could have saved losses of 5047 million CNY. This study provides a theoretical basis for preventive monitoring and integrated management of C. vesuviana globally and helps reduce its economic impact on the jujube industry in China. Full article

Currently, the global construction industry is facing challenges of stagnant efficiency and cost overruns. The potential of modular construction has not been fully unleashed due to the disconnection between design and manufacturing. This paper proposes a P-DFMA (Platform-Design for Manufacture and Assembly) building product platform architecture for modular apartments. The research establishes a three-level standardization framework of “modular unit-component-connector”, covering core residential modules, light steel keel systems, and high-strength bolt joints. Finite element simulation using SimSolid is employed to ensure manufacturing feasibility, and a standardized component library and a full-process collaborative P-DFMA architecture for modular apartments are developed. Verified through the case of the modular dormitory building project at Tianjin Chengjian University, the results show that compared with the traditional prefabricated construction mode, the P-DFMA platform mode achieves a cost savings rate of 54.8% in project design, production, and cross-link collaboration. This proves the feasibility and architectural advantages of the platform in improving the full-process efficiency and optimizing costs of modular buildings. Full article

The high savings propensity of households has led to inconsistencies between income and consumption classes in China. The issue of unleashing the consumption potential of households arouses public concern. This paper explores the effect of digital finance DF on unleashing the consumption potential of households from the perspective of household consumption habits. By examining the inconsistency between income and consumption classes, the findings reveal that households in China have substantial untapped consumption potential, and that prioritizing household consumption potential is a more effective approach to stimulating consumption. The mechanism analysis shows that DF facilitates consumption growth through both reducing time costs and precautionary savings, as well as easing credit and liquidity constraints. Notably, these effects are more pronounced in underconsumption households compared to equal-consumption households. Full article

Advanced heart failure (AdHF) is a progressive condition with a high morbidity and mortality burden despite optimal medical therapy. Heart transplant (HT) and left ventricular assist device (LVAD) represent the only two life-prolonging options in AdHF. Unfortunately, only a minority of AdHF patients are eligible for these life-saving therapies, and even patients who are candidates for HT usually incur prolonged waiting list times. Intermittent or continuous home-based inotropic therapy offers a potential solution to improve quality of life, reduce recurrent hospitalizations, and maintain organ function, both for the stabilization of patients who are ultimately candidates for life-saving therapies and for palliative care in those without other therapeutic options. In this review, we summarize the current literature on the role of home inotropes in managing AdHF, emphasizing the current evidence on the most adopted agents, the practical considerations for their administration, and the possible different preferred utilization of these agents. Finally, we address gaps in the literature and outline future research directions to enhance therapeutic options and outcomes. Full article

One of the key challenges for city authorities is to ensure an adequate quality of life for residents while promoting sustainable urban development. Achieving this balance is closely related to transport management which strongly affects urban quality of life, energy consumption, and resource savings. The aim of this article is to propose a new approach of assessing urban transport management quality, with a view to implement urban energy and resource-saving policies. The assessment procedure is based on the Six Sigma methodology and is illustrated using the example of the city of Szczecin for three selected routes. Travel data were obtained based on actual vehicle traffic using crowdsourcing methods. The capacity processes were assessed based on the potential capacity index and the actual capacity index, which characterise deviations in urban traffic from the best way to save energy and resources. Customer specification limits were set based on surveys assessing residents’ expectations regarding car travel times on the analysed routes. The results show that the methodology proposed in the article can be successfully used to assess urban transport management and to identify areas in need of improvement for sustainable transport panning. Full article

Background: Immunization coverage has increased substantially in the Western Pacific Region, saving millions of lives and supporting disease elimination efforts. However, gaps in coverage and inequitable vaccine access persist, leaving millions unvaccinated. Wealth-based inequalities remain a critical barrier to achieving equitable immunization coverage and maximizing the health benefits of vaccination programs. Methods: We analyzed full immunization coverage among 1-year-olds in 10 middle-income countries of the Western Pacific Region using data from the WHO Health Inequalities Data Repository. National and wealth quintile-specific coverage rates and within-country inequalities were assessed using absolute and relative measures (difference, ratio, slope index of inequality, and relative index of inequality). Trends over time were examined in countries with longitudinal data (n = 5), identifying pro-rich or pro-poor changes based on shifts in quintile-specific coverage. We also calculated the population attributable risk (PAR) and fraction (PAF) to estimate the potential increase in national coverage if wealth-based inequalities were eliminated. Findings: Substantial gaps in immunization coverage persist across all countries studied (n = 10), but with substantial between- and within-country disparities. Coverage was higher among the richest quintiles in half of the countries, with the rest showing no significant disparities. Trends in inequalities were mixed: Cambodia, Mongolia, and Viet Nam experienced pro-poor improvements over time; the Philippines saw widening pro-rich inequalities; and Lao PDR showed little change. Population attributable risks (PAR) showed that eliminating wealth-based inequalities could increase national coverage significantly in five countries (Fiji, Lao PDR, Papua New Guinea, Samoa, and Tonga), with relative gains that could increase national coverage by up to 50% while achieving equity gains. Conclusions: Addressing wealth-based inequalities in immunization could drive substantial gains in national coverage across the Western Pacific Region. Sustained, equity-oriented approaches are essential to achieving universal vaccine access and ensuring no population is left behind. Inequality patterns can guide equity-focused policies to reach underserved and disadvantaged populations. Full article

Electrical grids are currently facing new demands due to increased power consumption, growing interconnections, and limitations regarding transmission capacity. These factors introduce considerable challenges for the dispatch and operation of large-scale power systems, often resulting in congestion, energy losses, and high operating costs. To address these issues, this study presents a transmission line switching strategy, which is formulated as an optimal power flow problem with binary variables and solved via mixed-integer nonlinear programming. The proposed methodology was tested using MATLAB’s MATPOWER toolbox version 8.1, focusing on power systems with five and 3374 nodes. The results demonstrate that operating costs can be reduced by redistributing power generation while observing the system’s reliability constraints. In particular, disconnecting line 6 in the 5-bus system yielded a 13.61% cost reduction, and removing line 1116 in the 3374-bus system yielded cost savings of 0.0729%. These findings underscore the potential of transmission line switching in enhancing the operational efficiency and sustainability of large-scale power systems. Full article

Fuel cell trucks are a promising solution to reduce the disproportionately high greenhouse gas emissions of heavy-duty long-haul transportation. However, unlike conventional diesel vehicles, they lack combustion engine waste heat for cabin heating. As a result, electric heaters are often employed, which increase auxiliary energy consumption and reduce driving range. To address this challenge, advanced control strategies are needed to improve heating efficiency while maintaining passenger comfort. This study proposes and validates a methodology for implementing Model Predictive Control (MPC) in the cabin heating system of a fuel cell truck. Vehicle experiments were conducted to characterize dynamic heating behavior, passenger comfort indices, and to provide validation data for the mathematical models. Based on these models, an MPC strategy was developed in a Model-in-the-Loop simulation environment. The proposed approach achieves energy savings of up to 8.1% compared with conventional control using purely electric heating, and up to 21.7% when cabin heating is coupled with the medium-temperature cooling circuit. At the same time, passenger comfort is maintained within the desired range (PMV within ±0.5 under typical winter conditions). The results demonstrate the potential of MPC to enhance the energy efficiency of fuel cell trucks. The methodology presented provides a validated foundation for the further development of predictive thermal management strategies in heavy-duty zero-emission vehicles. Full article

High-rise building facades offer an alternative site for installing photovoltaic panels, which are traditionally placed on rooftops. The unique spatial configuration of high-rise buildings, characterized by a small footprint area relative to their height, supports the application of vertical facades for this purpose. Photovoltaic panels installed in these areas not only generate electricity but also enhance the aesthetic dimension of the urban landscape. The proposed methodology uses the EnergyPlus software to simulate the electricity generation of photovoltaic panels mounted on the walls of high-rise buildings in the city of Kragujevac, Serbia. A technical, economic, and environmental analysis was conducted for two scenarios: (1) photovoltaic panels installed on two facade areas with the highest solar potential, and (2) photovoltaic panels installed on all four available facade areas. In Scenario 1, the annual reduction in electricity consumption, annual cost savings in electricity consumption, and investment payback period range from 13 to 38%, 11 to 31%, and 8.4 to 10.6 years, respectively. In Scenario 2, these values range from 23 to 58%, 18 to 47%, and 10.9 to 12.9 years, respectively. The results indicate that southeast and southwest facades consistently achieve higher levels of electricity generation, underscoring the importance of prioritizing high-performing orientations rather than maximizing overall surface coverage. The methodology is particularly efficient for analyzing the solar potential of numerous buildings with comparable shapes, which is a characteristic commonly found in Eastern European architecture from the late 20th century. The study demonstrates the applicability of the proposed methodology as a practical and adaptable tool for assessing early-stage solar potential and providing decision support in urban energy planning. The approach addresses the identified methodological gap by offering a low-cost, flexible framework for assessing solar potential across diverse urban contexts and building typologies, while significantly simplifying the modeling process. Full article

Vilobelimab, a first-in-class, human–mouse chimeric immunoglobulin G4 (IgG4) kappa monoclonal antibody, targets human complement component 5a (C5a) in plasma. Unlike upstream complement inhibitors, vilobelimab does not inhibit the generation of the membrane attack complex (C5b-9), necessary to mitigate certain infections. C5a is a strong anaphylatoxin and chemotactic agent that plays an essential role in both innate and adaptive immunity. Elevated levels of C5a have been associated with pathologic processes, including sepsis and inflammatory respiratory disorders such as acute respiratory distress syndrome (ARDS). Blocking C5a with vilobelimab has shown therapeutic promise. A randomized, multicenter placebo-controlled Phase III study of vilobelimab in patients with severe COVID-19 (PANAMO) found that patients treated with vilobelimab had a significantly lower risk of death by day 28 and 60. Based on this study, the United States Food and Drug Administration (FDA) issued an Emergency Use Authorization (EUA) for Gohibic^® (vilobelimab) injection for the treatment of COVID-19 in hospitalized adults when initiated within 48 h of receiving invasive mechanical ventilation (IMV) or extracorporeal membrane oxygenation (ECMO). In January 2025, the European Commission (EC) granted marketing authorization for Gohibic^® (vilobelimab) for the treatment of adult patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced ARDS who are receiving systemic corticosteroids as part of standard of care and receiving IMV with or without ECMO. Herein, we review the mechanism of action of vilobelimab in selectively inhibiting C5a-induced inflammation, outlining its bench-to-bedside development from the fundamental biology of the complement system and preclinical evidence through to the clinical data demonstrating its life-saving potential in the management of COVID-19–induced ARDS. Full article

This study investigates the application and transformation potential of smart city concepts along Zhongyang Road in Hsinchu City, Taiwan. By introducing evaluation mechanisms such as the Smart City Maturity Index (SCMI) and the Composite Key Performance Indicator (CKPI), the research systematically analyzes the effectiveness of implementations across areas including transportation, energy, governance, and citizen engagement. Furthermore, Formula (1) is applied to assess the improvement in average delay time after the integration of smart technologies, while Formula (2) quantifies the annual energy savings achieved by replacing conventional streetlights with solar-powered ones, demonstrating tangible energy-saving and carbon-reduction benefits. The findings indicate that cross-sector collaboration and technological integration can significantly enhance urban operational efficiency and sustainability, providing valuable insights for the development of other new towns. Full article

Imaging in controlled agriculture helps maximize plant growth by saving labor and optimizing resources. By monitoring specific plant traits, growers can prevent crop losses by correcting environmental conditions that lead to physiological disorders like leaf tipburn. This study aimed to identify morphometric and spectral markers for the early detection of tipburn in two Romaine lettuce (Lactuca sativa) cultivars (‘Chicarita’ and ‘Dragoon’) using an image-based system with color and multispectral cameras. By monitoring tipburn in treatments using melatonin, lettuce cultivars, and with and without supplemental lighting, we enhanced our system’s accuracy for high-resolution tipburn symptom identification. Canopy geometrical features varied between cultivars, with the more susceptible cultivar exhibiting higher compactness and extent values across time, regardless of lighting conditions. These traits were further used to compare simple linear, logistic, least absolute shrinkage and selection operator (LASSO) regression, and random forest models for predicting leaf fresh and dry weight. Random forest regression outperformed simpler models, reducing the percentage error for leaf fresh weight from ~34% (LASSO) to ~13% (RMSE: 34.14 g to 17.32 g). For leaf dry weight, the percentage error decreased from ~20% to ~12%, with an explained variance increase to 94%. Vegetation indices exhibited cultivar-specific responses to supplemental lighting. ‘Dragoon’ consistently had higher red-edge chlorophyll index (CIrededge), enhanced vegetation index, and normalized difference vegetation index values than ‘Chicarita’. Additionally, ‘Dragoon’ showed a distinct temporal trend in the photochemical reflectance index, which increased under supplemental lighting. This study highlights the potential of morphometric and spectral traits for early detection of tipburn susceptibility, optimizing cultivar-specific environmental management, and improving the accuracy of predictive modeling strategies. Full article

Tactical production–distribution planning in paper manufacturing involves hierarchical decision-making under hybrid uncertainty, where aleatory randomness (demand fluctuations, machine variations) and epistemic uncertainty (expert judgments, market trends) simultaneously affect operations. Existing approaches fail to address the bi-level nature under hybrid uncertainty, treating production and distribution decisions independently or using single-paradigm uncertainty models. This research develops a bi-level dependent-chance goal programming framework based on uncertain random theory, where the upper level optimizes distribution decisions while the lower level handles production decisions. The framework exploits structural symmetries through machine interchangeability, symmetric transportation routes, and temporal symmetry, incorporating symmetry-breaking constraints to eliminate redundant solutions. A hybrid intelligent algorithm (HIA) integrates uncertain random simulation with a Reinforcement-Learning-enhanced Arithmetic Optimization Algorithm (RL-AOA) for bi-level coordination, where Q-learning enables adaptive parameter tuning. The RL component utilizes symmetric state representations to maintain solution quality across symmetric transformations. Computational experiments demonstrate HIA’s superiority over standard metaheuristics, achieving 3.2–7.8% solution quality improvement and 18.5% computational time reduction. Symmetry exploitation reduces search space by approximately 35%. The framework provides probability-based performance metrics with optimal confidence levels (0.82–0.87), offering 2.8–4.5% annual cost savings potential. Full article

The medical application of human embryonic stem cell technology has sparked ethical controversies, with the core issue being whether human embryos possess the same right to life as humans. According to classical Confucianism, humans are born from the essential Qi 精氣 (jingqi) of heaven and earth, making them the noblest beings in the world. Human embryos are the simple form of human life in its early stages, and as living human beings, they should therefore possess the legitimacy and justification to life. Confucianism advocates benevolence toward people 仁民 (renmin) and love for things 愛物 (aiwu) distinguishing between benevolence and love: benevolence toward people is benevolence, while love for all things is love. How people treat one another is how they should treat human embryos. Things exist to serve humanity; humans may utilise things but must not be treated as tools. Embryo life must not be harmed or sacrificed for the sake of saving human life. One should show benevolence to people and love to things. Therefore, the attitude toward human embryos should be “benevolence.” Human embryos inherently possess the potential to become human beings and do not require medical intervention to demonstrate their value. However, when humans extract and utilise stem cells from human embryos for their own benefit, this is tantamount to treating the embryos as things and reducing them to the status of things, thereby blurring the ethical boundaries between humans and things and disrupting the distinction between the recipients of benevolence and love. The extraction of human embryonic stem cells is ultimately an artificial technological achievement. Humans are not superior beings to heaven, and such practices must be confined within the moral framework of technological ethics and bioethics. Notwithstanding the technological advancements that have furnished humans with contemporary instruments, the necessity for a sense of awe for the heaven remains. Full article

Background: Congenital gastrointestinal anomalies (CGIAs) are the third most common congenital malformation globally, with a mortality rate reaching 39.8% in developing countries. Surgical intervention is often necessary for life-saving or corrective purposes. However, postoperative mortality in resource-limited settings can reach up to 50%. Identifying prognostic factors is essential to improve clinical management and inform family counseling regarding potential outcomes. Objectives: We aimed to develop a prognostic scoring system to predict postoperative mortality in neonates with CGIAs. Methods: This retrospective study analyzed medical records of neonates who underwent surgery for CGIAs between 2020 and 2024. Prognostic factors were identified using logistic regression analysis. Receiver operating characteristic (ROC) curves were used to determine optimal cutoff points for mortality prediction. Results: A total of 282 neonates were included; 121 (42.9%) died and 161 (57.1%) survived. Multivariate logistic regression identified sepsis, mechanical ventilation, prematurity, and upper gastrointestinal anomalies as independent predictors of mortality. A scoring system was developed, with a score > 3 yielding a sensitivity of 83.5% and specificity of 72.0%. The area under the ROC curve (AUC) was 0.840 (p < 0.001). Conclusions: We developed a simple and reliable scoring system to predict postoperative mortality in neonates with CGIAs, which may support clinical decision-making and family counseling. Full article