Found 313 results
Open Access
Article
29 May 2025Hydrodynamic Performance and Energy Capture Characteristics of a Floating Inner Rotor Wave Energy Device
The development of efficient wave energy converters (WECs) is essential for harnessing marine renewable energy, particularly in regions with low wave energy flux. This study investigates a floating WEC with an internal eccentric rotor designed to enhance energy capture efficiency. The device consists of a floating body for wave energy absorption, an internal rotor for mechanical-to-hydraulic energy conversion, and a mooring system for stability. A numerical model was developed and validated against wave tank experiments, showing good agreement in peak values and amplitudes. Frequency-domain analysis examined the effects of structural parameters, draft, and center of gravity offset on hydrodynamic characteristics, while time-domain analysis evaluated the impact of rotor mass and power take-off (PTO) damping on energy capture. Multi-parameter optimization led to an improved structural design, increasing instantaneous power output by 150% and total power output by 108%. These findings provide a basis for further optimization of WECs in low-energy wave environments.
Open Access
Article
28 May 2025Mechanisms of Machine Vision Feature Recognition and Quality Prediction Models in Intelligent Production Line for Broiler Carcasses
With global broiler production reaching 103 million tons in 2024—a 1.5% increase over 2023—the poultry industry continues to grow rapidly. However, traditional broiler segmentation methods struggle to meet modern demands for speed, precision, and adaptability. First, this study proposes an improved lightweight image segmentation algorithm based on YOLOv8-seg and integrates the Segment Anything Model (SAM) for semi-automatic annotation, achieving precise mask segmentation of broiler parts. Subsequently, Key geometric features (e.g., area, perimeter, axes) were extracted using image processing techniques, with enhancements from HSV color transformation, convex hull optimization, and ellipse fitting. Furthermore, Image calibration was applied to convert pixel data to physical dimensions, enabling real-sample validation. Using these features, multiple regression models—including CNNs—were developed for carcass quality prediction. Finally, by analyzing the broiler segmentation process, machine vision techniques were effectively integrated with quality grading algorithms and applied to intelligent broiler segmentation production lines, providing technical support for the intelligent and efficient processing of poultry products. The improved YOLOv8-seg model achieved mAP@0.5:box scores of 99.2% and 99.4%, and the CNN model achieved R2 values of 0.974 (training) and 0.953 (validation). Compared to traditional systems, the intelligent broiler cutting line reduced failure rates by 11.38% and improved operational efficiency by over 3%, offering a reliable solution for automated poultry processing.
Open Access
Article
28 May 2025A Framework for Watershed Flood Resilience in the Context of Climate Change: Concept, Assessment, and Application
Extreme flooding events are increasing in frequency and severity due to climate change, challenging the effectiveness of traditional, infrastructure-centric flood management strategies. A key gap remains in the lack of spatially explicit and process-based frameworks for assessing and enhancing flood resilience at the watershed scale, which hinders the development of integrated and adaptive management solutions. This study proposes a conceptual framework for evaluating watershed flood resilience (WFR) by integrating resilience theory with the “source-flow-sink” paradigm from landscape ecology. It applies it to the post-disaster reconstruction of the Sishui River Basin following the 2021 Zhengzhou flood in China. The framework quantifies WFR through pre-event resistance capacity and intra-event adaptive capacity using hydrological modeling and loss curves. It systematically analyzes the effects of targeted interventions across source, flow, and sink areas. The results demonstrate that the proposed approach significantly improves WFR in the Sishui River Basin, with source interventions generally outperforming flow and sink interventions in the simulated cases, and compensatory effects observed among different intervention types. The findings confirm the operational feasibility and effectiveness of the proposed framework, including nature-based solutions and spatial planning in watershed management, which could provide support for future holistic and adaptive flood resilience strategies addressing climate change.
Open Access
Article
26 May 2025Towards Circular Sustainable Cities: Thoughts and Recommendations for Qatar
Despite the ambitious national visions, Qatar is facing many challenges regarding the notion of sustainability. In this context, a considerable emphasis has been placed on the notion of Circular Economy (CE) to address suitability issues. Despite such an emphasis, the actual implementation of CE notions is still facing several obstacles present in, but not limited to, the Qatari context, such as heavy reliance on landfilling, water scarcity, and a heavy reliance on the oil and gas sectors. Our contention is that CE is an important factor in the sustainability equation and works towards meeting Qatar’s vision of becoming an environmentally sustainable country. by using a qualitative approach, predominantly adopting case study, document and content analysis, this paper explores the notion of CE and its implementation in light of the Qatar National Vision 2030. the challenges facing CE implementation, such as resources, qualified personnel, access to technology, and coordination between different areas of the economy, should be of prime importance for policymakers in Qatar. in order to ensure a sustainable circular city model in Qatar, the challenges related to CE implementation must be addressed accordingly. To this end, the paper suggests several policy recommendations, including the provision of adequate resources and personnel, the use of clean technology to improve the environmental quality of economic activities, in addition to the provision of adequate support and funding for the development of sustainable economic practices. These solutions will help to ensure sustainable economic development based on the concept of CE.
Open Access
Article
19 May 2025Research on Thermal Fault Detection and Location of Photovoltaic Connectors Based on Multiple Model Estimator
Offshore photovoltaic (PV) systems encounter challenges due to high humidity and salt spray environments. The PV connectors on the DC input side of inverters are particularly susceptible to increased contact resistance and local overheating caused by environmental corrosion. This paper introduces a novel thermal fault location method utilizing a multiple model estimator (MME). The approach develops a lumped thermal model and an abnormal overheating disturbance model for the PV connectors. By combining a Kalman filter with a probability fusion algorithm, the method effectively detects thermal faults. Simulation and experimental results demonstrate that this approach can accurately locate faults while requiring only a minimal number of thermal sensors, thereby enhancing the reliability of offshore PV systems.
Open Access
Article
19 May 2025Database of Ecological Indicators of Freshwater Algae and Cyanobacteria
Accumulation of ecological data on species of algae and cyanobacteria represents 9531 taxa-indicators from 18 taxonomic phyla. The most represented among the indicators is the taxonomic group of diatoms. The indicators are grouped into twelve ecological groups, which can be indicators of nine environmental parameters. The environmental characteristics for each of the indicator systems and the relationship between some of them are given. Individual abbreviations of ecological indicator groups that have been established as a result of long-term use are given. References are given to examples of the application of analysis of specific water bodies using bioindication methods, and prospects for use in monitoring and assessing water quality are shown. A specific example of using the database is given. The table of indicator taxa contains cumulative ecological data and is easy to use. This table is a living tool that can be supplemented and transformed when new information about indicator species comes.
Open Access
Article
19 May 2025Quorum Sensing Systems Engineering for Enhanced iso-Butylamine Production in Escherichia coli
Quorum sensing (QS), characterized by pathway-independence and autonomous control, has been applied in bio-manufacturing, while the lack of versatile and functional regulatory components limits its broader applications. To address this issue, a series of efficient QS systems with diverse properties were established in Escherichia coli. Firstly, combinatorial optimization, including element selection and promoter replacement, led to an improvement of 8.82- and 3.03-fold in output range and response threshold, respectively. Then, a library of LuxR mutants was constructed for screening novel variants with decreased sensitivity to acyl-homoserine lactone through the high-throughput screening technique. Notably, the optimal variant V36E/H89L/P97L exhibited a decrease of 266-fold in the sensitivity. As a proof-of-concept, iso-butylamine biosynthesis was tested by re-directing pyruvate catabolism using QS circuits, and in particular, a total of 15.4 g/L iso-butylamine was generated in strain IB21 during the fed-batch culture, marking a 2.96-fold increase over the static control. Finally, the generated bioproduct reached 44.23 g/L in a bioreactor, representing the highest reported titer so far. In summary, this study not only enriches the genetic toolbox of QS systems, but also facilitates industrial applications in value-added chemical production.
Open Access
Review
19 May 2025Ecological Degradation and Restoration Process in the Source Region of Yangtze River: A Review Using the DPSIR Framework
By the end of the 20th century, the Source Region of the Yangtze River (SRYR) suffered severe ecological degradation driven by the combined effects of climate change and human disturbances. To counteract ecological degradation, the Chinese government implemented multiple ecological protection and restoration measures. Based on a literature review, this study analyzed the entire process of ecological degradation and restoration in the SRYR using the DPSIR (Drivers-Pressures-States-Impacts-Responses) framework. It revealed that climate warming and grazing expansion were the main drivers. Under the dual pressures of natural and anthropogenic disturbances, grasslands experienced severe degradation, accompanied by significant losses of soil nutrients. The decline in grassland quality weakened ecosystem service functions and reduced the livelihood levels of herders. After implementing the ecological protection and restoration projects in China, the ecosystem had been effectively restored. Herders’ income levels had been improved. However, a mismatch persisted between ecological compensation standards and livestock reduction costs for herders. Future efforts should focus on the innovation of the institution and ecological restoration techniques. This study offers critical insights into ecological protection and restoration strategies, providing practical references for decision-makers to accelerate the realization of China’s ecological civilization objectives.
Open Access
Article
16 May 2025Application of Principal Component Analysis to Heterogenous Fontan Registry Data Identifies Independent Contributing Factors to Decline
Single ventricle disease is a serious and deadly illness, and advances in clinical management of individuals with Fontan circulation over the past two decades have yet to yield acceptable survival. Patients remain at risk of developing a diverse assortment of Fontan-associated comorbidities that ultimately require a heart transplant. Our goal in this observational cohort study was to determine if application of principal component analysis (PCA) to heterogeneous data collected from a sizable Fontan cohort (n = 140) would predict functional decline. The data, broadly comprised of blood biomarkers, lymphatic biomarkers, measures of cardiac and vascular function, and exercise (VO2max), were collected at a single site over 11 years; 16 events occurred over that time that we consider here as a single composite outcome measure. The standardized data was transformed via PCA, and principal components (PCs) characterizing >5% of total variance were thematically labeled based on their constituents and tested for association with the composite outcome. We found that the 6th PC (PC6), which represents 7.1% of the total variance, is superior to ejection fraction (EF) as a measure of proportional hazard, is greatly influenced by blood serum biomarkers and superior vena cava flow, and displays the greatest accuracy (according to area under the curve analysis) for classifying Fontan patients. In bivariate hazard analysis, we determined that models combining lymphatic dysfunction (PC6) and systolic function (EF or PC5) were most accurate, with the former having the highest c-statistic, and the latter having the greatest AIC. Our findings support our hypothesis that improved prognostication in a Fontan population should utilize a multifactorial model.
Open Access
Perspective
16 May 2025From “Land” to “Ecosystems”—Paving the Way for Ecosystem Services in Sustainable Finance
Although biodiversity loss is acknowledged as one of the main drivers of financial risk, there is still no clear understanding of how impacts and dependencies on biodiversity affect the financial sector. In fact, nature degradation does not manifest itself as a systemic risk because it does not threaten the very nature of the financial system. There are transmission channels between nature and finance that need to be investigated: the many intermediate cause-and-effect relationships should be identified and assessed. Such a process involves multiple disciplinary domains, ranging from ecology and economics to finance. An Ecosystem Services-based approach may represent a comprehensive framework to (i) reconcile coherently different environmental issues such as climate change, biodiversity loss, pollution and sustainable use of resources, and (ii) connect ecosystems and socio-economic systems. Not only can ecosystem services be assessed, but also ecosystem vulnerabilities which are at the origin of nature-related financial risks. Adopting an ecosystem services-based perspective can be the first step toward building ecologically meaningful and economically useful transmission channels for financial risks.
