Search Results (93,478)

Stocking and replenishing fish are crucial for the ecological restoration of aquatic biological resources. Since 2017, a long-term stocking program of Hypophthalmichthys molitrix and Aristichthys nobilis has been underway in the Xixi River basin of the Jiulong River. To understand the status of fishery resources following this long-term stocking program, field surveys were conducted every two months from October 2023 to October 2024. Traditional netting, resource assessment and environmental DNA (eDNA) analysis methods were used to conduct a comprehensive assessment of resource abundance, stocking contribution and ecological adaptability. The research revealed that the annual survival rates for H. molitrix and A. nobilis were 40.25% and 48.19%, respectively. The current numerical ratio of H. molitrix to A. nobilis stands at 1.97:1, indicating that the survival number of H. molitrix is better than that of A. nobilis. No mature gonads were observed in any sampled individuals, demonstrating that the current population is highly dependent on artificial replenishment. This study provides valuable data support for aquatic resource restoration and ecological management in the Jiulong River Basin. Full article

To facilitate the sustainable recycling of retired wind turbine blades (RWTBs) and promote the green development of the wind energy sector in China, this study investigates the reuse of crushed RWTBs as composite fiber additives in asphalt mixtures. A systematic optimization of the incorporation process was conducted, and the effects of RWTB fibers on pavement performance were comprehensively evaluated. Using the entropy weight method, the optimal fiber content and particle size were identified as 0.15 wt% and 0.3–1.18 mm, respectively. The experimental results demonstrated that, under optimal conditions, the dynamic stability, low-temperature flexural tensile strain, Marshall stability after water immersion, and freeze-thaw splitting strength of the base asphalt mixture increased by 27.1%, 23.8%, 9.9%, and 8.1%, respectively. Microstructural analyses using SEM and EDS revealed that the reinforcing mechanism of RWTB fibers involves adsorption, bridging, and network formation, which collectively enhance the toughness and elasticity of the asphalt matrix. In addition, a comparative evaluation was performed using the Analytic Hierarchy Process (AHP), incorporating both performance and cost considerations. The comprehensive performance ranking of fiber-modified asphalt mixtures was consistent for both base and SBS-modified asphalt: BF AC-13 > RWTB AC-13 > GF AC-13 > PF AC-13 > unmodified AC-13. Overall, this study confirms the feasibility of high-value reuse of RWTB waste in road engineering and provides practical insights for advancing resource recycling and promoting sustainability within the wind power industry. Full article

As road transport continues to evolve with advancements in automation and intelligent traffic management, optimizing emergency response operations remains a critical challenge in urban mobility. This study presents an innovative data-driven framework for optimizing fire station placement in Birjand, Iran, integrating transportation efficiency with emergency service accessibility. A binary integer programming model was developed to minimize response time and transportation costs while incorporating real-world constraints. Using dynamic simulations in MATLAB 2019b, the study analyzed existing fire station coverage across seven urban regions, assessing travel efficiency based on an average vehicle speed of 52.5 km/h and a 5 min response threshold. Key findings highlight disparities in emergency service accessibility, with high-demand areas such as R4 and R5 lacking sufficient coverage, while low-demand regions like R6 remain underserved. To address this, a genetic algorithm (GA) with 100 individuals over 20 generations was implemented. Optimizing total penalized response time, calculated as the objective value of GA, is 25.89 min. This value represents the sum of penalized response times across all station-area assignments. A cost–benefit analysis revealed Station 2 as the most efficient investment, achieving a net benefit of 3163 million IRR at a 1% discount rate, outperforming Station 1 (2831 million IRR). Sensitivity analysis confirmed Station 2’s financial advantage across discount rates up to 10%. This research contributes to emerging transportation challenges by bridging emergency response optimization with urban mobility strategies. The proposed decision support system (DSS) integrates adaptive planning, data-driven analytics, and infrastructure investment to enhance resilience and response efficiency in dynamic urban environments. Full article

In recent years, spacecraft have been developed to support higher data-rate communication systems and accommodate a wider range of payloads. These advancements have led to the generation of large volumes of data and increased system complexity. In particular, during the ground-testing phase, the need for an effective test data management strategy has become increasingly important to improve test efficiency and reduce costs, as sorting, distributing, and analyzing extensive test data is both time consuming and resource intensive. To address these challenges, this study introduces a practical and implementation-oriented autonomous system for centralized test data handling, which has been successfully applied and verified during actual spacecraft development and ground testing operations. The system enables the rapid transfer of test data to centralized storage without waiting for test completion or requiring human intervention by utilizing an event-triggered architecture. In addition, it automatically provides the transferred test data in multiple formats tailored to each engineering team, facilitating effective data comparison and analysis. It also performs automated test data validation without manual input. The performance of the enhanced test data management was evaluated through big-data analysis of logs generated during automated test data transfer and post-processing in actual spacecraft ground tests. Full article

This paper presents an optimal scheduling framework for a multi-energy hub (EH) that integrates electricity, natural gas, wind energy, energy storage systems, and demand response (DR) programs. The EH incorporates key system components including transformers, converters, boilers, combined heat and power (CHP) units, and both thermal and electrical energy storage. A novel aspect of this work is the joint coordination of multi-carrier energy flows with DR flexibility, enabling consumers to actively shift or reduce loads in response to pricing signals while leveraging storage and renewable resources. The optimisation problem is formulated as a mixed-integer linear programming (MILP) model and solved using the CPLEX solver in GAMS. To evaluate system performance, five case studies are investigated under varying natural gas price conditions and hub configurations, including scenarios with and without DR and CHP. Results demonstrate that DR participation significantly reduces total operating costs (up to 6%), enhances renewable utilisation, and decreases peak demand (by around 6%), leading to a flatter demand curve and improved system reliability. The findings highlight the potential of integrated EHs with DR as a cost-effective and flexible solution for future low-carbon energy systems. Furthermore, the study provides insights into practical deployment challenges, including storage efficiency, communication infrastructure, and real-time scheduling requirements, paving the way for hardware-in-the-loop and pilot-scale validations. Full article

Offshore renewable energy resources are abundant and widely available worldwide, offering significant contributions to the clean energy net-zero carbon emission targets. This paper reviews strong and emerging offshore renewable energy sources, including wind (fixed bottom and floating), hydrokinetic wave and tidal energy, floating solar photovoltaics (FPVs) and hybrid energy systems. A literature review of recent sources yields a timely comprehensive comparison of the levelized cost of electricity (LCOE), technology readiness levels (TRLs), capacity factors (CFs) and global generation installed and potential, where offshore wind is recognized as being the strongest contributor to the clean energy transition and thus receives the most attention. Offshore wind grid integration, converter technologies, criticality, resiliency and energy storage integration are presented, in addition to challenges and research directions. While wave, tidal and FPV will never dominate the global grid, they have vital roles to play in the global energy transition; thus, they are reviewed, including technologies, installations, potential, challenges and research directions. Offshore hybrid energy systems, combining different offshore renewable energy sources, are also discussed along with example installations. The paper concludes with a discussion of the potential environmental impacts of offshore renewable energy development, including recommendations. Full article

Morocco, located in an arid region and increasingly affected by climate change, faces chronic water stress. This structural vulnerability places mounting pressure on the country’s water resources. International trade contributes significantly to this pressure, particularly through the export of water-intensive agricultural products. This study investigates the virtual water trade flows of the 32 most-traded agricultural products between Morocco and its primary trading partner, the European Union, over the period of 2000–2020. This study adopts a bottom-up approach, employing the FAO’s CROPWAT 8.0 software based on the Penman–Monteith climatic model to estimate crop water requirements. The results indicate that Morocco was a net importer of virtual water in its agricultural trade with EU countries, with a cumulative net virtual water of 51,839.171 million cubic meters (Mm³). During the study period, Morocco exported a total of 3393.791 Mm³ of virtual water to the EU, primarily through fruits (2903.028 Mm³; 85.539%) and vegetables (467.928 Mm³; 13.788%), notably those with high water footprints. The top three EU importers of Moroccan virtual water were France (1138.785 Mm³), the Netherlands (874.323 Mm³), and the United Kingdom (430.872 Mm³). Conversely, virtual water imports by Morocco amounted to 55,232.963 Mm³, overwhelmingly dominated by cereals, which accounted for 99.697% of the total. These imports originated mainly from France (37,154.090 Mm³), Germany (4980.296 Mm³), and Poland (2330.039 Mm³). The analysis of Morocco’s virtual water balance with EU countries revealed that Morocco was a net virtual importer in trade with most of them. Furthermore, the crop-level virtual water trade balance revealed a tendency to export water-intensive crops that offer relatively low economic water productivity. However, four agricultural products recorded a high economic return per unit of Virtual Water Exported: tomatoes returned 19.80 USD/m³, strawberries 16.02 USD/m³, carrots 13.06 USD/m³, and watermelons 8.11 USD/m³. These findings underscore the importance of integrating water footprint analysis into national agricultural policy to maximize the economic productivity of water and ensure the sustainability of resources in a water-stressed country. Full article

This study addresses the critical challenge of optimizing water resource allocation in fragmented citrus cultivation zones, particularly in Anfusi Town, a key citrus production area in China’s middle-lower Yangtze River region. To overcome the limitations of traditional deterministic models and spatially heterogeneous water supply–demand dynamics, an innovative framework integrating interval two-stage stochastic programming (ITSP) with long short-term memory (LSTM) neural networks is proposed. The LSTM component forecasts irrigation demand and supply under climate variability, while ITSP optimizes dynamic allocation strategies by quantifying uncertainties through interval analysis and balancing economic returns with hydrological risks. Key results demonstrate an 8.67% increase in system-wide benefits compared to baseline practices in the current year scenario. For the planning year (2025), the model identifies optimal water distribution thresholds: an upper limit of 3.85 × 10⁶ m³ for high-availability zone A and lower limits of 1.62 × 10⁶ m³ for moderate-to-low-availability zones B and C. These allocations minimize water scarcity penalties while maximizing net benefits, prioritizing local over external water sources to reduce costs. The study innovates by integrating stochastic-economic analysis with spatial prioritization of high-marginal-benefit zones and uncertainty robustness via interval analysis and two-stage decision making. By bridging a research gap in citrus irrigation optimization, this approach advances sustainable water management in complex agricultural systems, offering a scalable solution for regions facing fragmented landscapes and climate-driven water scarcity. Full article

The quality change process of table grapes during cold chain logistics is complex and highly susceptible to vibration-induced damage. Traditional monitoring techniques not only consume significant human and material resources but also cause destructive effects on the fruit structure of table grapes, making them difficult to apply in practical scenarios. Based on this, this paper focuses on table grapes in cold chain business processes and designs a flexible wireless vibration sensor for monitoring the quality of table grapes during cold chain transportation. The hardware component of the system fabricates a flexible wireless vibration sensing for monitoring the quality of the table grape cold chain. In contrast, the software component develops corresponding data acquisition and processing functionalities. Using Summer Black table grapes purchased from Tianjin Hongqi Agricultural Market as the research subject, correlation and quality monitoring models for the cold chain process of table grapes were constructed. After Z-score standardization, the prediction results based on the MLR model achieved R² values all greater than 0.87 and RPD values all exceeding 2.7. Comparisons with other regression models demonstrated its optimal fitting performance for monitoring the quality of the cold chain for table grapes. This achieves non-destructive and high-precision data acquisition and processing during the cold chain process of table grapes, wirelessly transmitting results to terminal devices for real-time visual monitoring. Full article

In multi-project environments characterized by resource constraints and high uncertainty, traditional scheduling approaches often fail to respond effectively to dynamic project conditions. Fixed activity durations and rigid resource allocations limit adaptability, leading to inefficiencies and delays. To address this, the paper proposes a novel heuristic-based scheduling method that compresses and decompresses activity durations dynamically within the context of multi-project scheduling under uncertainty and resource flexibility—while preserving resource and precedence feasibility. The technique integrates Critical Path Method (CPM) calculations with heuristic rules to identify candidate activities whose durations can be reduced or extended based on slack availability and resource effort profiles. The objective is to enhance scheduling flexibility, improve resource utilization, and better align project execution with organizational priorities and sustainability goals. Validated through a case study at an automotive company in Portugal, the method demonstrates its practical effectiveness in recalibrating schedules and balancing resource loads. This contribution offers a timely and necessary innovation for companies aiming to enhance responsiveness and competitiveness in increasingly complex project landscapes. It provides an actionable framework for dynamic schedule adjustment in multi-project environments, helping companies to respond more effectively to uncertainty and resource fluctuations. Importantly, the proposed approach also supports sustainability objectives in new product development and supply chain operations. For practitioners, the method offers a responsive and sustainable planning tool that supports real-time adjustments in project portfolios, enhancing resource visibility and execution resilience. For researchers, the study contributes a reproducible, Python-based implementation grounded in Design Science Research (DSR), addressing gaps in stochastic multi-project scheduling and sustainability-aware planning. Full article

Homomorphic encryption solutions tend to be costly in terms of memory and computational resources, making them difficult to implement. In this paper, we present Kyber AHE, a lightweight additive homomorphic encryption scheme for computing the addition modulo 2 of two binary strings in the encrypted domain. It is based on the CRYSTALS-Kyber public key encryption (PKE) scheme, which is the basis of the NIST module-lattice-based key-encapsulation mechanism standard. Apart from being quantum-safe, Kyber PKE has other interesting features such as the use of compressed ciphertexts, reduced sizes of keys, low execution times, and the ability to easily increase the security level. The operations performed in the encrypted domain by Kyber AHE are the decompression of ciphertexts, the component-wise modulo q addition of polynomials, and the compression of the results. A great advantage of Kyber AHE is that it can be easily implemented along with CRYSTALS-Kyber without the need for additional libraries. Among the applications of homomorphic encryption, biometric template protection schemes are a promising solution to provide data privacy by comparing biometric features in the encrypted domain. Therefore, we present the application of Kyber AHE for the protection of biometric templates. Experimental results have been obtained using Kyber AHE in an iris biometric template protection scheme with 256-byte features using Kyber512, Kyber768, and Kyber1024 instances. The sizes of the encrypted iris features are 6.0, 8.5, and 12.5 kB for NIST security levels I, III, and V, respectively. Using a commercial laptop, the encryption ranges from 0.755 to 1.73 ms, the evaluation from 0.096 to 0.161 ms, and the decryption from 0.259 to 0.415 ms, depending on the security level. Full article

As digital technology continues to embed and influence everyday life, its social and environmental impacts need to be addressed seriously. This article introduces and clarifies the concept of Ecological Citizenship (EC), defining it as a form of citizenship that extends rights and duties beyond the human social sphere into ecological systems, requiring individuals, communities, and institutions to take responsibility for the environmental consequences of their digital practices. Unlike traditional forms of citizenship tied to legal or territorial boundaries, EC is grounded in shared ecological accountability and civic responsibility. We argue that EC offers a distinctive lens for shaping the evolution of a Sustainable Digital Society (SDS), where digital innovation and sustainability are co-aligned. Through theoretical analysis and case studies, this article examines how EC can support community-based, policy-led, and design-focused approaches towards digital sustainability. We look to highlight ways in which EC can be embedded in digital behaviour, infrastructure, and product design while acknowledging barriers such as the digital divide, unequal resource allocation, and adverse policy settings. This research aims to offer policymakers, technologists, and educators’ pragmatic advice for realising sustainable design, environmental literacy, and universal digital access. The study looks to argue for a more systemic reconsideration of digital development, a consideration which places environmental values at the forefront of technological progress, to ensure that digital transformation is both socially equitable and beneficial to planetary well-being. Full article

School districts face growing demands to address the academic, social, emotional, and behavioral health needs of all students, including meeting state mandates such as bullying prevention, suicide prevention, trauma response, and behavioral threat assessment. These needs have intensified since the COVID-19 pandemic, often resulting in fragmented and inefficient planning. The Interconnected Systems Framework (ISF) offers a structure for uniting district and community efforts into a single, integrated system of support. While research has expanded on the effectiveness of the ISF and resources have defined installation steps, the process is often arduous and challenging to notice progress and maintain momentum in action planning. This study examines the use of the ISF District–Community Leadership Team (DCLT) Installation Progress Monitoring Tool as a means to provide district and community leaders with concrete data to monitor progress and inform evaluation and action plans. Findings highlight the tool’s potential to strengthen installation processes, promote data-informed decision-making, and improve alignment of resources to impact student and school outcomes. Full article

Immune-effector-cell-associated hematotoxicity has emerged as the most common CAR-T-cell-related complication in the real-world setting. Therefore, transfusion of blood components remains unavoidable in many patients treated with CAR-T cells to alleviate symptomatic anemia and prevent major bleeding events. This study investigates predictive factors associated with the transfusion requirement in patients receiving anti-CD19 CAR-T-cell therapy for B-cell malignancies in a real-world setting and the potential correlation between transfusion needs, ICAHT, and long-term survival outcomes. Among 90 investigated patients, 51 (56.7%) received at least one transfusion in the three months post-infusion (33.4% received only RBC concentrates, and 23.4% received both RBC and platelet transfusions). The highest transfusion needs occurred in the first month post-infusion, with 50 transfused patients (55.5%). Early transfusion-requiring cytopenia was associated with pre-infusion altered bone marrow function, patients-related factors, including female sex, and acute inflammatory toxicities. The incidence of late cytopenia was mainly predicted by the need for pre-infusion transfusion support. Patients receiving platelet transfusions were characterized by an inferior progression-free (p = 0.013) and overall survival (p = 0.005). CAR-T-cell-treated patients can experience a high transfusion burden, impairing their quality of life, potentially affecting survival outcomes, and resulting in overutilization of clinical resources Full article

Background: Sarcoma surveillance guidelines still apply uniform imaging intervals based on tumor grade and stage that ignore histotype-specific metastatic behavior. We prospectively analyzed metastatic timing, organ tropism, and lesion burden across a real-world sarcoma cohort to generate an evidence base for risk-adapted follow-up and treatment stratification. Methods: In a prospective multicenter study, 1850 patients with suspected sarcoma were screened. SHAPEHub, a real-world-time data warehouse, captured clinicopathological variables and imaging. Adults with histologically confirmed soft-tissue or bone sarcoma (n = 295) formed the analytic cohort. Metastases were classified as synchronous (≤6 months) or metachronous (>6 months), lung-only versus multi-organ, and oligometastatic (≤5 lesions, ≤2 organs) versus polymetastatic. TTME was illustrated with Kaplan–Meier curves for the full cohort (descriptive); where subgroup comparisons are shown, log-rank tests are reported. Results: Ninety-three patients (31.5%) developed metastases after a median follow-up of 20.9 months. Metastatic risk was front-loaded: 36.6% were synchronous, and 67.8% of metachronous events occurred within year 1. The lung was the initial site in 62.4% of events, bone in 18.3%, and liver in 11.8%. Half of the lung-metastatic patients remained pulmonary-confined; the remainder followed a multi-organ route involving bone and lymph nodes. Oligometastatic spread predominated in the lung-only subgroup (61%) versus multi-organ (28%). Histotype influenced both timing and tropism: angiosarcoma and Ewing sarcoma metastasized earliest (median 3.7 and 5.0 months) and multi-organ; leiomyosarcoma and UPS were lung-dominant; Ewing sarcoma and epithelioid haemangioendothelioma were bone-tropic; and angiosarcoma was liver-tropic. Conclusions: Metastatic sarcoma displays three intersecting dimensions—early versus late onset, organ-specific tropism, and oligo- versus polymetastatic burden—none of which are addressed by the current “one-size-fits-all” surveillance. Recognizing these patterns delineates windows for tailored imaging and stratified therapy selection (e.g., local ablation for oligometastatic lung disease, intensified systemic regimens for early, polymetastatic spread). These findings lay the groundwork for precision-adapted surveillance and treatment protocols. Pattern-stratified trials and health-economic evaluations are now needed to assess whether this approach improves outcomes and optimizes resource allocation. Full article