Search Results (42,361)

The low efficiency of the microbial gasification of coal limits the application of bio-coal bed methane technology. The co-fermentation of coal and biomass provides a new approach for improving the degradation rate of coal. In this study, a co-fermentation system comprising five different coal orders with five microalgae was constructed in the laboratory, and the methanogenic characteristics of coal–algae co-fermentation and its microbiological mechanism were systematically investigated in terms of gas production, soluble organic matter, and microbial community characteristics. The results showed that the combination of lignite and Nannochloropsis exhibited optimal methane production, with a methane yield of 26.43 mL/g coal. Biogenic methane yields for lignite–Porphyra and anthracite–Porphyra were 23.43 mL and 21.28 mL, respectively, demonstrating the potential for algae to enhance gas production even in high-rank coals. pH monitoring revealed that algal species played a critical role in the acidification process. Dunaliella caused a continuous pH decrease, reaching 3.76 by day 30, while Nannochloropsis maintained a neutral pH of 6.95, optimizing the fermentation environment. Significant differences in soluble organic matter were observed between the lignite and anthracite fermentation systems, with lignite systems producing more volatile fatty acids, including acetic and butyric acids. Microbial community analysis revealed that Methanosarcina, an acetic acid-utilizing methanogen, was dominant in lignite and anthracite systems, while Syntrophomonas played a key role in lignite–Nannochloropsis co-fermentation. These findings provide valuable insights into optimizing coal microbial gasification and selecting appropriate algal species to enhance methane production efficiency. Full article

The importance of managing goods delivery in urban areas has reached its peak in recent years, driven by the constant and rapid growth of online commerce. Under such conditions, where smaller quantities of goods are ordered, yet the number of shipments continues to rise, the question of last-mile delivery (LMD) efficiency becomes increasingly relevant. This paper addresses the issue of last-mile delivery zone efficiency through the application of a new methodological approach. First, the concept of measuring last-mile delivery productivity is defined using a specific example from an urban environment. Next, Key Performance Indicators (KPIs) are established to enable a proper assessment of urban zone efficiency in line with the LMD concept. The main contribution of this study is the development of the IRN OWCM (Interval Rough Number Opinion Weight Criteria Method), which is used to calculate the weights of the criteria. To assess suitable delivery zones in terms of efficiency based on the defined KPIs, the previously developed IRN OWCM method is integrated with IRN AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalization). The results identify delivery zones that are suitable in terms of meeting standardized user needs. The developed model demonstrated stability through additional verification tests and can be adequately applied in cases when it is needed to minimize subjectivity and uncertainties. Full article

With the growing global demand for rice and the urgent need to enhance sustainable production, ratoon rice systems and selenium (Se) biofortification technologies have become important strategies. This study investigated the effects of the foliar application of ethylenediaminetetraacetic acid Se (EDTA-Se) during key growth stages of the main rice season on the yield, grain quality, and Se accumulation in ratoon rice. Two rice varieties—Fengliangyouxiang-1 (FLYX1) and Jinliangyouhuazhan (JLYHZ)—were selected for a two-year field experiment. A systematic analysis was performed on yield components, processing quality, appearance quality, nutritional quality, and Se speciation. The results showed that under an equivalent total amount of spraying EDTA-Se, the best effect on improving the yield, grain quality, and grain Se content of ratoon rice was observed at the heading stage and seven days after full heading. This treatment increased ratoon season yield by 6.45%, primarily due to enhanced grain filling rate (GF) and spikelets per panicle (SP). Processing quality was significantly improved; milled rice rate (MR) increased by 5.59–6.24% in FLYX1 and 3.38–3.52% in JLYHZ, while appearance quality also improved, with chalky grain rate (CGR) decreasing by 21.51–22.93% in FLYX1 and 14.50–14.53% in JLYHZ. These improvements were closely associated with elevated protein content and increased accumulation of selenomethionine (SM). Notably, FLYX1 exhibited higher efficiency in converting selenium to organic forms, whereas JLYHZ showed a greater accumulation of inorganic selenium, highlighting genotype-specific responses. This study confirmed that the foliar application of EDTA-Se during key growth phases of rice during the main season can synergistically optimize yield and quality in ratoon rice while achieving Se biofortification and providing a theoretical basis and technical support for improving the quality and efficiency of ratoon rice, as well as producing Se-enriched ratoon rice. Full article

The escalating frequency of natural disasters and political conflicts has heightened focus on industrial supply chain resilience and security, making corporate supply chain resilience enhancement a critical global concern. Data, as a novel production factor, presents an effective pathway to fortify supply chain resilience. This paper investigates data factor marketisation by constructing a theoretical framework linking it with manufacturing enterprise supply chain resilience. Using China’s Big Data Comprehensive Experimental Zone establishment as a quasi-natural experiment, we analyzed data from Chinese A-share listed manufacturing firms spanning 2003–2023 to empirically validate our theoretical analysis. Our findings reveal that data factor marketisation significantly enhances manufacturing enterprise supply chain resilience, as confirmed using rigorous robustness checks. Mechanism analysis demonstrates that data factor marketisation improves resilience by reducing information asymmetries, boosting management efficiency, mitigating supply chain reliance, and enhancing supply chain financing. Heterogeneity analysis indicates stronger positive impacts in non-state-owned enterprises, smaller firms, companies with advanced data capabilities, non-digital-intensive businesses, enterprises with substantial supply chain funding needs, and those in regions with strong rule of law. Further analysis shows that improved employment, financing, innovation, and communication environments amplify the positive relationship between data factor marketisation and supply chain resilience. This study provides crucial insights for policy makers seeking to leverage data marketisation for industrial resilience enhancement and offers strategic guidance for enterprises navigating an increasingly uncertain global supply chain environment. Full article

Industrial recirculating aquaculture systems (RAS) constitute an energy-saving and environmentally friendly approach to modern aquaculture production. The hydrodynamic characteristics within these systems, coupled with the ecological environment of the fish, are essential for the efficient operation of the system and for promoting optimal fish growth and welfare. These systems provide several advantages, such as high intensification, efficient water resource utilization, enhanced environmental control, and minimal environmental pollution. Consequently, it has emerged as prominent avenue for advancing aquaculture development in China. This paper begins with an examination of the fundamental concepts and primary tank structures underpinning industrial RAS. It then proceeds to elucidate the hydrodynamic characteristics within RAS and their interrelationship with fish growth and welfare. Furthermore, it offers a thorough review of tank hydrodynamic characteristics and fish interactions from various perspectives, including operational parameters, hydrodynamic drive equipment, fish behavior, and the aquaculture environment. Finally, the limitations of current studies are assessed, and potential future research directions are proposed. Full article

Curcumin is a natural bioactive compound of plant origin, characterised by a wide variety of properties that make it useful in numerous industries. Furthermore, due to its health-promoting properties, such as anti-inflammatory, antioxidant, and antimicrobial effects, it has found applications in medicine and animal husbandry. Unfortunately, curcumin has low bioavailability; its hydrophobic nature means it is poorly absorbed through the gastrointestinal tract, and it is rapidly metabolised in the liver. In recent years, research has been conducted into adding nanoencapsulated active ingredients, such as curcumin, to animal feed. This research aims to improve the bioavailability and stability of these ingredients, extend their shelf life, and enhance their absorption. These effects are expected to improve overall animal health, increase production efficiency, and enhance the quality of animal products. However, a significant challenge remains: the irreversible aggregation and chemical instability of bioactive substances due to the hydrolysis of their polymeric encapsulants, which can lead to toxic effects. This study utilised peripheral whole blood from five Blanc de Termonde rabbits. In vitro cell exposure was conducted using three distinct concentrations of nanoencapsulated curcumin (C1–C3: 10, 5.0, and 2.5 µg/mL) and a control. Cytotoxicity was determined by assessing viability using trypan blue exclusion, the comet assay, and the micronucleus assay. The results indicated that all tested concentrations of nanocurcumin significantly decreased the viability of blood cells to approximately 1–9%. In contrast, the encapsulation matrices themselves were not toxic (results were statistically significant). In the comet assay, the nanocurcumin formulations were toxic at all concentrations, and the results were statistically significant. Following exposure, the micronucleus assay revealed cell damage and a high percentage of apoptotic cells (up to 30% for Cur1 at 10 ug/mL). A significant number of binucleated cells with two micronuclei (BNCs + 2MN) were also observed, again for Cur1. In view of the considerable variation in the results from the individual tests, it is advisable to repeat the research using different matrix forms and concentrations of curcumin. Full article

Element doping and functional group modification engineering serve as efficient approaches that contribute to the improvement of the functional efficiency in graphitic carbon nitride (CN) materials. A CN photocatalyst co-modified with sulfur (S) and cyano moieties was prepared through thermal condensation polymerization. The introduced S species modulated the band structure, increased charge carrier mobility, and significantly promoted charge separation and transport. Additionally, the introduction of cyano groups extended light absorption range and improved the material’s selective adsorption of reactant molecules. The as-prepared sulfur-modified CN photocatalyst obtained after a 6 h thermal treatment, which was capable of degrading organic pollutants and producing hydrogen (H₂) efficiently and stably, exhibited excellent catalytic performance. The photocatalyst’s photocatalyst exhibited a significantly enhanced photocatalytic activity, with a Rhodamine B (RhB) removal efficiency reaching 97.3%. Meanwhile, the H₂ production level reached 1221.47 μmol h⁻¹g⁻¹. Based on four-cycle experiments, the photocatalyst exhibited excellent recyclability and stability in both H₂ production processes and photocatalytic organic pollutant degradation. In addition, mechanistic studies confirmed the dominant role of ·OH and ·O₂⁻ as active species responsible for the reaction system’s performance. This study highlights that the co-decoration of heteroatoms and functional groups can markedly enhance the photocatalytic performance of CN-based materials, offering considerable potential for future applications in energy conversion and environmental remediation. Full article

Concrete is the most used material worldwide, with cement as its essential component. Cement production, however, has a considerable environmental footprint contributing nearly 8% of global CO₂ emissions, largely from clinker calcination. This review aims to examine strategies for reducing these emissions, with a particular focus on alternative materials for producing magnesium phosphate cements (MPCs). Specifically, the objectives are first to summarize mitigation pathways, such as CO₂ capture, energy efficiency, and alternative raw materials, and second evaluate the feasibility of using industrial wastes and by-products, including low-grade MgO, tundish deskulling waste (TUN), boron-MgO (B-MgO), and magnesia refractory brick waste (MRB), as MgO sources for MPC. The review highlights that these materials represent a promising route to reduce the environmental impact of cement production and support the transition toward carbon neutrality by 2050. Full article

Recent concerns regarding artificial intelligent (AI) technologies have spurred studies into improving wastewater treatment efficiency and identifying low-carbon processes. Treating one cubic meter of wastewater necessarily consumes a certain amount of chemicals and energy. Approximately 20% of the total chemical consumption is attributed to phosphorus and nitrogen removal, with the exact proportion varying based on treatment quality and facility size. To promote sustainability in wastewater treatment plants (WWTPs), there has been a shift from traditional control systems to AI-based strategies. Research in this area has demonstrated notable improvements in wastewater treatment efficiency. This review provides an extensive overview of the literature published over the past decades, aiming to advance the ongoing discourse on enhancing both the efficiency and sustainability of chemical dosing systems in WWTPs. It focuses on AI-based approaches utilizing algorithms such as neural networks and fuzzy logic. The review encompasses AI-based wastewater treatment processes: parameter analysis/forecasting, model development, and process optimization. Moreover, it summarizes six promising areas of AI-based chemical dosing, including acid–base regents, coagulants/flocculants, disinfectants/disinfection by-products (DBPs) management, external carbon sources, phosphorus removal regents, and adsorbents. Finally, the study concludes that significant challenges remain in deploying AI models beyond simulated environments to real-world applications. Full article

The heavy reliance of the mushroom industry on sawdust substrates is putting increasing pressure on already limited forest resources, forcing researchers to seek alternative materials. This study investigated the feasibility of using post-harvest djulis (Chenopodium formosanum Koidz.) stems, waste from this indigenous crop in Taiwan, to partially replace sawdust for Pleurotus sajor-caju cultivation. Initial screening with 0–100% djulis replacement revealed growth inhibition above 50% incorporation levels. Refined experiments focusing on 0–30% djulis ratios demonstrated that strain PT exhibited superior adaptation to djulis-containing substrates. Commercial scale grow bag trials showed that among djulis treatments, 25% djulis incorporation achieved the fastest mycelial colonization rate (1.0 cm/day), while 15% incorporation yielded the highest biological efficiency (76.17%), comparable to commercial controls (76.80%). Three-flush harvest cycles confirmed stable productivity across treatments, with total yields ranging from 286 to 320 g/bag. Nutritional analysis showed no major changes in amino acids and antioxidants, with djulis incorporation maintaining protein quality while some enhancement in total free amino acid content and reducing power at 25% incorporation. These findings demonstrate that 15–25% djulis stem substitution sustained commercial production parameters while contributing to sustainable agricultural waste management and reducing forest resource dependence. Full article

Over 15 billion tonnes year⁻¹ of biomass is used globally, yet 14% is downcycled for energy, forfeiting billions in potential revenue for higher-value products. Robust metrics that couple cascading use with cradle-to-gate greenhouse gas (GHG) emissions and economic value are essential for identifying superior biomass pathways. The aim of this review is to systematically map biomass utilization indicators published between 2010 and 2025; compare their treatment regarding circularity, climate, and economic value; and introduce the enhanced Bioresource Utilization Index (eBUI). A PRISMA-aligned search of Scopus and Web of Science yielded 80,808 records, of which 33 met the eligibility criteria. Each indicator was scored on cascading, data intensity, and environmental and economic integration, as well as computational complexity and sector scope. The Material Circularity Indicator, Biomass Utilization Efficiency, the Biomass Utilization Factor, and legacy BUI satisfied no more than two criteria simultaneously, and none directly linked mass flows to both GHG emissions and net revenue. The eBUI concept integrates mass balance, lifecycle carbon intensity, and value coefficients into a single 0–1 score. An open-access calculator and data quality checklist accompany the metric, enabling policymakers and industry to prioritize biomass pathways that are circular, climate-smart, and economically attractive. Full article

Nannochloropsis oceanica (Suda & Miyashita) R. E. Lee holds considerable potential for the production of high-value compounds, including pigments, lipids, and polyunsaturated fatty acids. Sodium acetate, a widely used carbon source in microbial cultivation, is both cost-effective and efficient. Although it has been reported to enhance biomass production in various microalgae, its effects on metabolic pathways differ substantially across species. In this study, we investigated the transcriptional responses of N. oceanica to sodium acetate supplementation using high-throughput mRNA sequencing. Sodium acetate significantly promoted growth but elicited a distinct metabolic reprogramming in contrast to patterns commonly observed in other microalgae. We identified 747 differentially expressed genes (399 upregulated and 348 downregulated), reflecting a substantial transcriptomic shift. Pathways related to lipid metabolism, carbon fixation, and photosynthesis were markedly suppressed. Notably, genes associated with photosynthesis were downregulated by 34–43 fold, suggesting a strategic reallocation of resources away from energy-intensive photosynthetic processes in the presence of an external organic carbon source. In sharp contrast to Chlamydomonas reinhardtii P. A. Dangear and Haematococcus pluvialis (Flotow) Wille, lipid metabolism in N. oceanica was not enhanced under sodium acetate supplementation. Instead, expression of lipid metabolism genes decreased by 5–14 fold, with most fatty acid- and lipase-related genes also downregulated (4–30 fold). Together, these findings reveal that N. oceanica adopts a unique adaptive strategy, channeling acetate-derived carbon primarily into rapid biomass accumulation rather than energy storage or high-value metabolite synthesis. This work provides new insights into the species-specific responses of microalgae to organic carbon sources. Full article

In this study, a high-efficiency permanent magnet synchronous motor (PMSM) was designed for a geared electric vehicle. The motor was developed for use in an L-category electric vehicle with four wheels and a two-passenger capacity. During the design process, application-specific dimensional constraints, electromagnetic requirements, and material limitations were taken into consideration. A spoke-type rotor structure was adopted to achieve both mechanical robustness and high efficiency with minimized leakage flux. In addition, the combination of a 12-stator slot and a 10-rotor pole was selected to suppress low-order harmonic components and improve torque smoothness. The motor model was analyzed using Siemens Simcenter SPEED software (Product Version 2020.3.1), and an efficiency above 94% was achieved, meeting the IE6 efficiency class. Magnetic flux analysis results showed that the selected core material operated within the magnetic saturation limits. The findings demonstrate that a compact and high-efficiency PMSM design is feasible for electric vehicle applications. Full article

This study investigates the operation and management of an advanced Italian liquid waste treatment platform, focusing on its dual-line configuration and the challenges posed by increasingly heterogeneous waste streams. The main objectives are to (i) characterize the technological and operational features of the system, (ii) evaluate strategies for dealing with variable waste compositions and non-compliant inputs, and (iii) propose governance measures to strengthen cooperation between producers and operators. The methodology integrates the analysis of operational data from 2022 to 2024 (waste volumes, European Waste Catalogue Codes, reagent consumption, sludge production, and energy use) with a critical assessment of acceptance procedures and monitoring protocols. Results show a 10% increase in liquid waste treated over the study period, a growing predominance of complex EWC codes, higher oxygen demand in the thermophilic reactor, and seasonal fluctuations in sludge production. At the same time, the plant achieved stable or improved performance indicators, with specific energy consumption decreasing to 2.08 kWh/kg COD removed in 2024. The study concludes that modular, flexible treatment systems, supported by rigorous waste characterization and real-time decision-making, are essential to ensuring efficiency, regulatory compliance, and long-term environmental sustainability in liquid waste management. Full article

Although the beneficial effects of silicon on plant resistance to biotic and abiotic stresses are recognized, there is a lack of knowledge regarding its application in field conditions and its direct impact on physiological metabolism, root development, and, most importantly, the economic return of corn production in tropical regions. This study is justified by the need to quantify the effects of foliar silicon application on these variables, providing a scientific and economic basis for optimizing corn productivity and profitability in tropical environments. The objective of this study was to evaluate the effect of silicon on physiological metabolism, root system development, grain yield, and the potential economic return of maize production in a tropical region. The study was conducted under field conditions in two growing seasons (2020 and 2021), using a randomized block design in a 2 × 5 factorial arrangement with four replications. The first factor consisted of the maize growing seasons, and the second factor was foliar silicon fertilization (0 (control), 150, 300, 450, and 600 g ha⁻¹). Foliar fertilization with silicon at a dose of 150 g ha⁻¹ increases transpiration rate by up to 9%, net photosynthetic rate by 13%, and grain yield of maize by 10% after two growing seasons, regardless of the water deficit experienced during the crop cycle. At this dose, silicon application is economically viable, yielding the highest differential profit (USD 97.11 ha⁻¹). In conclusion, foliar fertilization with silicon is an agronomically and economically viable strategy for efficient maize grain production during the second growing season in tropical regions. Full article