Search Results (8,293)

The aqueous phase (AP) produced during hydrothermal liquefaction (HTL) contains high organic loads and a chemically complex mixture of dissolved intermediates, posing significant environmental management challenges. Aqueous phase recycling (APR) has emerged as a strategy to enhance bio-crude yield, improve energy recovery, and reduce freshwater consumption by reintroducing reactive water-soluble species into subsequent cycles. However, repeated recycling can lead to the accumulation of N-containing compounds and phenolics, potentially diminishing bio-crude quality and heating value through secondary polymerization and condensation reactions. Simultaneously, the carbon and nutrient-rich character of AP presents opportunities for valorization via anaerobic digestion, microalgae cultivation, and supercritical water gasification. Despite growing interest, APR-HTL research remains feedstock-specific, and a systematic understanding of AP compositional evolution across multiple recycling cycles is limited. This review synthesizes recent progress, highlighting mechanistic linkages between AP composition, bio-crude performance, and integrated biorefinery strategies. Full article

Polystyrene (PS) is widely used yet highly flammable, and developing halogen-free flame retardants that ensure both high fire safety and mechanical performance remains a challenge. A green intumescent system comprising ammonium dihydrogen phosphate (ADP) and phytic acid–triethylenetetramine (PA–TETA) was incorporated into PS powder via sequential solution grinding and hot pressing. The optimal formulation, PS/10ADP/15PA–TETA, achieved a limiting oxygen index of 28.5% with a UL-94 V-0 rating, and reduced the peak heat release rate and total heat release by 73.8% and 46.2%, respectively, while retaining 78.4% of the tensile strength of neat PS. The ADP/PA–TETA system operates via a cooperative condensed-phase charring and gas-phase dilution mechanism, achieving superior flame retardancy in PS composites. This work provides an effective and eco-friendly strategy for fabricating high-performance PS composites with balanced flame retardancy and mechanical properties. Full article

Movie archives still rely on manual cataloging and sparse metadata, limiting fine-grained retrieval, relationship tracing, and reuse under privacy-constrained edge settings. We propose EdgeCineTag-KG, an edge framework using a single video foundation encoder and knowledge-constrained multi-label learning to produce consistent labels and build a queryable movie-archive knowledge graph. The objective jointly models label co-occurrence, mutual exclusion, hierarchy, and temporal consistency to reduce semantic contradictions and label jitter. For deployment, an uncertainty-driven adaptive computation strategy meets real-time constraints with controlled quality loss. Across MovieNet, Condensed Movies, Trailers12k, MMTF-14K, and TVQA, performance improves from 47.8 to 55.6 mAP and from 38.2 to 44.9 Macro-F1 on MovieNet, from 42.1 to 49.3 mAP on Condensed Movies, and from 71.2 to 75.4 mAP on Trailers12k. Knowledge graph quality also improves, with rule violation rate dropping from 6.8% to 2.4% and link prediction MRR rising from 0.248 to 0.312. Under INT8 adaptive inference, the system reaches 5.3 Clip-FPS, 182 ms P95 latency, and 1.9 GB peak memory. This combination improves consistency and retrieval usability without relying on multiple stacked foundation models. These results support reliable, interpretable, and edge-deployable movie archive understanding. Full article

Cell division is a highly regulated process that actively involves dynamic changes to the genetic material within the nucleus. DNA is faithfully replicated in the S-Phase of the cell cycle, being converted from loose, relaxed chromatin into tight, condensed chromosomes to be segregated in mitosis. In addition to scaffolding proteins that shape these mitotic chromosomes, post-translational modifications of histones within nucleosomes modulate chromosome dynamics throughout the cell cycle. In this review, we use a comparative approach to highlight some of the major epigenetic marks affected by the cell cycle during embryogenesis of Caenorhabditis elegans: H4K20me1, H3S10ph, H4S1ph, H2AS1ph, and H3T118ph. These five histone post-translational modifications will be specifically highlighted in the context of the mitotic cell cycle, as they are well documented in the C. elegans literature. Full article

The SQS_PSY family (Squalene/phytoene synthase family), with squalene synthase (SQS) and phytoene synthase (PSY) as core members, comprises enzymes that catalyze the head-to-head condensation of isoprenoid precursors. These enzymes play pivotal roles in mediating plant responses to both biotic and abiotic stresses; nevertheless, their specific functions in soybean defense against Phytophthora sojae infection remain elusive. In the present study, a comprehensive bioinformatics approach was utilized to identify 12 SQS_PSY family members in the soybean genome, followed by subsequent analyses of chromosomal distribution, phylogenetic relationships, gene structures, conserved motifs, and cis-acting regulatory elements within promoter regions. Notably, multiple cis-elements responsive to biotic and abiotic stresses were detected in the promoter regions of SQS_PSY genes in soybean, implying their potential involvement in stress-responsive pathways. To elucidate their roles in defense, resistant and susceptible soybean cultivars were inoculated with P. sojae, and RNA-seq was conducted on sampled tissues. Integrated with quantitative real-time PCR (qRT-PCR) validation, our findings demonstrated that GmSQS1 exhibited differential expression patterns between resistant and susceptible cultivars at multiple time points post-inoculation. Furthermore, the functional role of GmSQS1 in enhancing soybean resistance to P. sojae was confirmed using a transgenic hairy root system. Collectively, this study preliminarily validated the functions of the SQS_PSY genes in soybean and offers novel insights into their potential application for improving resistance against Phytophthora root rot. Full article

This article examines Romanian internet memes as cultural micro-narratives that encode social critique, identity negotiation, and emotional response through compressed, multimodal storytelling. Using a mixed-method approach, the study integrates qualitative narrative analysis with quantitative sentiment data drawn from the RoMEMESv2 corpus, comprising 983 Romanian-language memes. The analysis identifies recurrent narrative roles and plot structures adapted from Propp’s morphology and applied to digital contexts, revealing archetypal roles, such as the slacker hero, the bureaucratic villain, the domestic guardian, and the trickster. From a quantitative point of view, the corpus exhibits a dominant negative sentiment, particularly within political memes, which combine systemic critique with affective ambivalence. These findings distinguish Romanian memes from datasets in other languages, suggesting that negativity functions not as deviance, but as a culturally specific narrative and emotional resource. Multimodal analysis demonstrates how visual and textual elements operate through anchorage, intertextuality, and symbolic compression, so as to construct narrative messages within single frames. The study argues that Romanian memes function as digital folklore: they narrate social frustration and institutional distrust through irony, repetition, and archetypal condensation, offering insights into the emotional and narrative logic of post-communist digital culture. Full article

Due to the seasonality of its production and its polluting characteristics, the management and disposal of large amounts of grape pomace (GP) produced worldwide every year can pose a significant economic and environmental challenge. The research on the possible exploitation of GP for various purposes has been constantly growing during recent years, due to the increased general sensitivity to issues like the sustainability of agro-industrial production and the growing consumer demand for the use of natural versus synthetic compounds. This work concerned the determination of the polyphenolic profile and the dietary fiber content of skins and seeds from unfermented and fermented white and red grape pomace of different cultivars, sampled from local wineries in the Piedmont area (Italy) after winemaking. A double extraction was performed to maximize the extraction of polyphenols from grape pomace flours. The extractable polyphenols content (EPP) was determined in the extracts, while the non-extractable polyphenols (NEPP) linked to fiber were quantified as condensed tannins in the residue after extraction. The total dietary fiber (TDF) was determined for skins and seeds; limited to skins, the analysis was extended to the distinction between soluble and insoluble dietary fiber (SDF and IDF). The polyphenolic and dietary fiber content was significantly higher in seeds than in skins. However, from a nutritional point of view, the dietary fiber of skins may be more interesting due to the higher NEPP content than in seeds; moreover, the winemaking technique influenced the quantity and characteristics of skin fiber, which contained SDF, almost absent in seeds. Full article

This study develops a conceptual framework for characterizing reservoir architecture in multi-component, discrete systems using pressure transient analysis (PTA), aimed at calibrating inflow geometry prior to full-field dynamic simulation for subsurface gas storage applications such as CO₂ and hydrogen. A secondary objective is to identify variations in permeability over time by analyzing flow capacity trends and evaluating the dynamic influence of faults and fractures. The analysis is based on a gas-condensate field comprising seven wells and four zones (A, B, C, D), using integrated dynamic datasets including extended well tests (EWTs), mud loss, production logs, and production data. Detailed interpretation of PX-1’s EWT indicated delayed re-pressurization and persistent under-pressure, suggesting a compartmentalized or transient system with limited gas-in-place connectivity. Four reservoir architecture concepts were developed: (1) lithology-dominated inflow, (2) structurally controlled inflow, (3) discrete, weakly connected compartments, and (4) transient-dominated systems with tight matrix GIIP. These concepts informed four reservoir models: matrix-only (M), areal heterogeneity (A), sparse bodies (B), and sparse networks (S). Application of these models across other wells revealed consistent localized KH (permeability–thickness product) behavior, with all models fitting short-duration data comparably. However, only sparse drainage models (B/S) adequately matched PX-1’s EWT response. PTA results confirm that well tests constrain KH locally but provide limited insight into large-scale reservoir architecture. EWTs may reach ~1 km, while shorter tests are confined to ~200–400 m, typically within one to two simulation grid blocks. This study demonstrates how integrating PTA with multi-scale data improves characterization of naturally fractured, tight carbonate reservoirs and supports reservoir simulation and history matching for hydrogen storage evaluation. Based on reservoir simulations, this study concluded that naturally fractured carbonate gas reservoirs can provide significant storage and injection capacities for underground hydrogen storage. This study exemplifies how to characterize the naturally fractured tight carbonate reservoirs by integrating multi-scale and multi-dimensional data such as PTA. Furthermore, this study assists in gridding for full-field reservoir models, for history matching and quantifying the potential of hydrogen storage in these complex reservoirs. The proposed workflow provides an uncertainty-bounded reservoir characterization framework and should not be interpreted as a complete field-design methodology for hydrogen storage. The modeling does not explicitly couple geomechanical fracture growth, hydrogen diffusion, long-term geochemical reactions, or caprock integrity degradation. Therefore, the presented storage scenarios represent technically feasible cases under defined assumptions. Comprehensive site-specific geomechanical and containment assessments are required prior to field-scale implementation. Full article

Both riparian tree species diversity and genetic diversity can influence streams through leaf litter decomposition; however, these two sources of variation have not been compared directly. Here, we compare leaf litter decomposition for a physical mixture of two Populus species to the litter from an F₁ hybrid (a genetic mixture) of the same two species. Leaf litter was collected from a common garden for an F₁ hybrid between Japanese poplar (Populus maximowiczii A. Henry) and black cottonwood (Populus trichocarpa Torr. & A. Gray ex Hook.), as well as both parent species. Four litterbag treatments consisted of litter from the F₁ hybrid, an equal-part mixture treatment of litters from both parents, and litter from each parent in isolation. The hybrid litter had higher C:N content and lower % condensed tannins than either parent species, or the average of the two parents that represented the mixture. While the hybrid and mixture treatments both lost more mass than expected by day 42, the mixture lost relatively more mass than the hybrid and roughly as much as the faster-decomposing P. trichocarpa parent. The hybrid mimicked the mixture, and both supported higher aquatic macroinvertebrate richness and less litter mass remaining than expected based on parent species values, despite differences between the hybrid and mixture in initial phytochemistry. Full article

Graph-enhanced Retrieval-Augmented Generation (RAG) frameworks, such as GraphRAG, improve large language model (LLM)-based question answering (QA) by constructing and leveraging structured, knowledge-condensed graph information. However, they still face challenges in complex multi-hop reasoning tasks and often incur substantial time and resource costs, resulting in low efficiency. To address these limitations, we propose DualGraphRAG, a dual-view graph-enhanced RAG framework designed to achieve both high QA performance and computational efficiency for complex reasoning over open-domain corpora. Specifically, DualGraphRAG constructs a knowledge graph (KG) by automatically extracting triples from unstructured text using LLMs, and embeds KG nodes with unified text embeddings. For each query, multiple types of KG nodes are generated through a dedicated query enhancement module. Based on these nodes, DualGraphRAG employs a dual-view retrieval strategy to retrieve both one-hop triples that capture local context and shortest paths that compress global connectivity information, thereby facilitating answer generation. Experimental results show that, compared with NaiveRAG, GraphRAG, and LightRAG, DualGraphRAG achieves the best or competitive performance on benchmark datasets and significantly improves efficiency. Overall, DualGraphRAG organizes and exploits KG information in a dual-view manner, leveraging triples and shortest paths to offer a reliable and efficient framework for open-domain QA with complex multi-hop reasoning. Full article

The paper presents an analysis of the status and development trends of Polish Waste-to-Energy (WtE) installations in the context of improving the level of energy recovery measured by the R1 indicator of the Waste Framework Directive (R1 is a regulatory indicator of the R1/D10 classification, not the thermodynamic efficiency of the installation). Based on the standardised annual operating energy balances of six mature municipal waste incineration plants from 2020 to 2024 and partial data for 2025, electricity and heat production, auxiliary media consumption and waste fuel parameters were compared, and R1 was calculated in the Ep, Ef, Ew and Ei systems. The R1 values were then compared with heat collection conditions and modernisation implementations (integration with the heating network, exhaust gas condensation, advanced control/predictive algorithms), treating the ‘before/after’ comparisons as an observational assessment, without inferring strict causality. The average R1 for the facilities studied in 2020–2024 was 0.864, with the highest values recorded for installations in Kraków (R1 = 1.123 in 2024). The results indicate that a high and growing R1 is primarily associated with cogeneration and stable heat management in district heating systems, and that upgrades aimed at additional heat recovery and process stabilisation can further support this trend, in line with the ‘energy efficiency first’ principle. A novelty of the study is the standardised, long-term benchmarking of full-scale data for six installations using a uniform R1 methodology. Full article

This paper investigates an Organic Rankine Cycle (ORC) system for low-to-medium temperature heat recovery using comparative thermodynamic, exergoeconomic and economic modelling. A working-fluid study considering environmental and thermodynamic perspectives is conducted. A 20 kW ORC unit is tested and used as a feasibility and trend-consistency reference to support the modelling assumptions and practical operating bounds. A parametric study then examines the effects of evaporator pressure, condensation temperature, superheat, subcooling and heat-exchanger pinch-point temperature differences on net power output, first- and second-law efficiencies, total product cost and total capital investment under prescribed boundary conditions. Multi-objective optimization is applied to identify Pareto-optimal trade-offs and representative compromise solutions. Results show an intermediate evaporator pressure maximizes net power output, while lower condensation temperature generally improves efficiency; superheat has limited efficiency impact but should ensure safe operation, and a small subcooling margin (around 3 °C) mitigates cavitation risk. The best overall performance is obtained with an evaporator pinch of 3 °C and a condenser pinch of 5–9 °C; tightening pinch constraints increases required heat-transfer area and makes heat exchangers the main cost bottleneck for high-efficiency solutions. Full article

An experiment was conducted to produce synthesis gas (main components CO and H₂) via plasma–steam gasification of brown coal with an ash content of 9% and a volatile matter yield of 48%. Satisfactory agreement between the calculation results and experiments for various types of solid fuel allowed the TERRA thermodynamic calculation program to be verified. A thermodynamic analysis of plasma–steam gasification of shale, brown, and hard coals was performed over a wide range of their characteristics (ash content 3–88%, volatile yield 5–50%) at temperatures from 600 to 3000 K. The composition of the gas and condensed phases of the gasification products, the degree of carbon gasification, and the specific energy consumption for the process were calculated. Although solid fuels differ significantly in ash content and volatile matter yield, synthesis gas is the primary gaseous product of their gasification, with a higher hydrogen concentration than carbon monoxide, thereby improving the environmental performance of solid fuels. In all types of fuels, the maximum synthesis gas concentration occurs between 1200 and 1600 K, with low ballast impurities (H₂O, CO₂, N₂) and zero harmful emissions (NO_X, SO_X). Synthesis gas combustion heat ranges from 10,475 to 11,570 kJ/m³. A 100% gasification rate occurs at temperatures between 1250 and 1300 K. Energy consumption varies between 0.7 and 2.7 kWh/kg. In solid fuel plasma–steam gasification, the volatile yield reduces specific energy consumption, but the ash content has a negligible effect. Plasma–steam gasification of solid fuels containing 9 and 88% ash and 48% and 50% volatile yield shows a 12% reduction in specific energy consumption. Plasma–steam gasification of solid fuels with volatile yields of 48 and 5% and ash contents of 9% and 3%, respectively, results in a 60% reduction in specific energy consumption. Full article

Asphaltenes are the most polar and refractory fraction of crude oil, and are typically isolated using petroleum-derived precipitants (e.g., n-hexane, n-heptane) and then dissolved in aromatic solvents such as toluene, which raises safety and sustainability concerns. Here we evaluate D-limonene, a renewable terpene, as a green, room-temperature precipitant for asphaltene fractionation and benchmark it against n-alkanes and the ASTM D-6560 workflow. Multi-technique characterization (ATR-FTIR/NIR, TGA, CHN, EDS, LDI(+) FT-ICR MS, and ¹H/¹³C NMR) shows that D-limonene yields a lower mass of precipitate yet a fraction with reduced thermal refractoriness (lowest TGA residue, broader/attenuated DTG peak). Molecular readouts indicate lower aromatic condensation/cross-linking in the precipitated subpopulation—narrower DBE envelopes by FT-ICR MS and lower aromatic carbon indices (Car_tot, Car-b, Car-j) by ¹³C NMR—consistent with a mechanism in which π–π/dispersion interactions retain highly condensed multi-ring aggregates in solution under cold, static conditions. These results establish D-limonene as a selective green precipitant for asphaltenes, offering immediate analytical benefits (cleaner, safer fractionation for molecular studies) and a sustainable basis for pretreatments of heavy fractions. Full article

Asparagopsis has gained global attention for its chemical properties and environmental applications. However, its two main species, Asparagopsis armata and Asparagopsis taxiformis, remain understudied, with limited information available regarding their bioactive potential, especially across their development. In this study, we examined the phenolic profiles and antioxidant potentials of gametophyte and tetrasporophyte life stages and compared differences between conventional solvent extraction (CSE) and ultrasound-assisted extraction (UAE), including total phenol content, total flavonoid content, determination of condensed tannins, and seven types of antioxidant activity detections such as DPPH and ABTS. In general, the phenolic compounds and antioxidant potential of the Asparagopsis species vary significantly at different life stages and under different extraction techniques. Among them, the phenolic profile and antioxidant capacity of A. armata were recorded as significantly higher than those of A. taxiformis, as reflected by its greater relative antioxidant capacity index scores. In our study, while UAE did not universally outperform CSE, species- and life stage-specific improvements were recorded. Moreover, LC-ESI-QTOF-MS/MS tentatively identified 24 phenolic compounds (17 in A. armata and 14 in A. taxiformis), pointing to a diverse bioactive profile. Overall, Asparagopsis species demonstrated marked variability in phenolic and antioxidant potentials across life stages and extraction techniques. Full article