Search Results (64,864)

This study presents an integrated optimization framework for enhancing biogas and methane production through anaerobic digestion, addressing the challenge of identifying optimal operating conditions across multiple interacting parameters. Biochemical methane potential tests were conducted to evaluate the individual effects of four critical operational parameters: temperature, mixing regime, inoculum-to-substrate (I-S) ratio, and chemical oxygen demand load (COD-L). Experimental findings confirmed that thermophilic conditions, mixing once a day, I-S ratio of 1:2, and moderate COD loading consistently delivered the most favorable biogas and methane yields. Kinetic modeling, including the Modified Gompertz and Logistic models, showed strong predictive agreement with experimental data (R² > 0.90), reliably capturing production dynamics across all tested conditions. Polynomial response surface methodology further identified COD-L as the dominant driver of methane yield, with optimal operating conditions falling within moderate temperature and COD-L ranges. This revealed significant nonlinear interactions between parameters. Building on these findings, the Crayfish Optimization algorithm successfully determined global optimal conditions, achieving a maximum biogas production of 0.371 Nm³/kg.VS. These results highlight how combining experimental investigation with predictive modeling and metaheuristic optimization creates a powerful decision-support framework for improving the efficiency and stability of anaerobic digestion systems. Full article

Deoxynivalenol (DON) is a prevalent trichothecene mycotoxin in cereals that poses food and feed safety risks while causing important economic losses. Microbial biotransformation offers a selective, mild strategy for DON detoxification. Here, we screened aerobic soil-derived bacterial communities from diverse agricultural environments, using DON as the sole carbon source for this mycotoxin depletion. More than half of the tested enrichment samples showed a reduced DON signal, as observed by HPLC-UV. To assess the biological relevance, culture extracts were tested for cytotoxicity in HepG2 cells. Z13, a soil sample that depleted DON but produced no other detectable metabolites, showed reduced cytotoxicity, comparable to the negative control. In contrast, samples that depleted DON but produced 3-keto-DON remained toxic. High-resolution LC-MS analysis indicated the formation of metabolites putatively identified as 3-keto-DON in enrichment cultures and 3-epi-DON in a Devosia strain culture. Community composition was profiled with 16S rRNA gene amplicon sequencing, which showed that Z13 presented a remarkable drop in diversity upon microbial cultivation, and included genera such as Devosia, Nocardioides, and Pseudomonas. Together, these results provide integrated chemical, biological, and ecological evidence for aerobic DON biotransformation in soil-derived communities, identify pathway products, and highlight practical constraints related to community dependence and storage sensitivity. Full article

Taiwan’s subtropical climate poses substantial heat stress challenges to poultry production. This study compared four red-feathered rooster lines (n = 10 per line, BB homozygous HSP70 genotype)—three commercially bred lines (F, T, K) selected for maximum body weight, and one native trial line (TLRI-09) developed through marker-assisted selection targeting the HSP70 BB genotype—during a one-hour acute heat challenge at 42 °C. A pre-specified statistical decision tree was applied: normality was assessed by the Shapiro–Wilk test for each group’s change score (Δ = post − pre); one-way ANOVA with Tukey’s HSD was used when all groups were normally distributed; Kruskal–Wallis with Dunn’s post hoc test (Bonferroni correction) was used otherwise. Within-group pre-to-post changes were assessed by paired t-test. TLRI-09 showed a substantially lower body weight (909 ± 102 g vs. 2039–2226 g) and zero mortality, whereas each commercial line experienced one death (10%). Cloacal temperatures in F, T, and K groups exceeded the thermometer’s upper limit (>44 °C) within one hour; TLRI-09 reached only 42.8 ± 0.1 °C. Respiratory rate increment was highest in TLRI-09 (Δ = 82.0 ± 8.4 breaths/min) and differed significantly among lines (p < 0.001). Plasma T₃ change differed among lines (p = 0.006); post hoc analysis identified a significant K vs. T contrast only (p = 0.019). These results indicate that, despite sharing the same HSP70 genotype, breeding objective is an important determinant of acute thermal resilience—an observation that warrants further validation under chronic and commercial production conditions. Full article

Diarrhea significantly impacts livestock and poultry health, causing growth delays and higher mortality rates. Macleaya cordata extract (MCE) demonstrates strong antioxidant, antibacterial, and anti-inflammatory properties, indicating its potential as a therapeutic agent for diarrhea. This research investigated whether MCE alleviates lipopolysaccharide (LPS)-induced diarrhea in mice through modulation of the gut microbiota. Here, changes in short-chain fatty acids (SCFAs) and gut bacterial structure were analyzed using gas chromatography–mass spectrometry (GC-MS) and 16S rRNA gene sequencing, respectively. The effects of MCE administration (40 mg/kg) on intestinal injury and inflammatory responses were assessed in mice induced with LPS. These results show that MCE-treated mice exhibited significantly lower diarrhea indices, attenuated duodenal villus shortening, and decreased crypt depth compared with LPS-induced mice. MCE treatment substantially reduced the mRNA expression of IL-6, IL-1β and NF-κB in the duodenum, as well as the serum levels of TNF-α and IL-8. Furthermore, MCE significantly increased SCFA levels, particularly acetic acid, and reshaped the gut microbiota composition by increasing the abundance of Lachnospiraceae. Given the close interaction between gut microbiota, microbial metabolites, and host inflammatory responses, these microbial and metabolic alterations are closely associated with the attenuation of intestinal and systemic inflammation. In conclusion, the protective effects of MCE against LPS-induced diarrhea in mice are closely associated with the modulation of gut microbiota structure, suppression of inflammatory responses, and enhancement of acetic acid production. This study provides a mechanistic basis for MCE as a natural alternative to antibiotics for treating inflammatory diarrhea in livestock and poultry. Full article

The high energy consumption of conventional mixers equipped with active mixing elements necessitates the development of more efficient technologies for mixing bulk materials and feed mixtures. This study presents a gravity-driven mixing approach based on the rotation of an inclined cylindrical chamber, eliminating the need for active mixing elements. During chamber rotation, the mixture components move toward both end walls while simultaneously undergoing a circular motion along the inner cylindrical surface. This movement intensifies the mixing process and reduces energy consumption, thereby providing an energy-efficient gravity-based mixing approach that operates without active mixing elements. Laboratory experiments were conducted to determine the key physical and mechanical properties of the sapropel, organic fertilizer, and compound feed (formulation K-60-1). The measured values were as follows: velocity on an inclined steel surface, 0.65–1.21 m/s; coefficient of friction, 0.40–0.91; bulk density, 453–1166 kg/m³; and angle of repose, 36–39°. The experimental results confirmed the validity and adequacy of the developed analytical relationships. A structural and technological design of the gravity mixer was developed, and an experimental prototype was manufactured. Analytical relationships were obtained to determine the critical rotational speed of the chamber, particle movement velocity, and the power required for the mixing process. Under optimal operating conditions, the mixture uniformity reached 95.7% after 4 min of mixing. The mixer productivity was 0.95 t/h, while the specific energy consumption was 0.5 kWh/t, which is 2.5 times lower than that of conventional mixers equipped with active mixing elements. The obtained results confirm the feasibility and effectiveness of the proposed gravity-based mixing method for the preparation of feed and organomineral mixtures under the operating conditions of small-scale farms. Full article

Female empowerment in post-conflict rural contexts is strategic for food security and socioeconomic resilience. This study analyzed the relationship between women’s productive empowerment and food security in 40 rural women involved in pig production in Santa Rosa del Sur, Bolívar, Colombia. A mixed approach with a descriptive–exploratory design and longitudinal scope was used. Data collection employed adapted versions of the Women’s Empowerment in Agriculture Index (A-WEAgI) and the Household Food Insecurity Access Scale (HFIAS), alongside participant observation and reflective thematic analysis. Quantitative data were analyzed via descriptive statistics and Spearman correlation. The baseline revealed low empowerment regarding income, resources, technical capacities, and time. The global A-WEAgI reached 21%, while HFIAS showed moderate food insecurity in 52% of households. Spearman analysis (CS) indicated moderate negative correlations between food insecurity and income (CS = −0.56), access to resources (CS = −0.51), and technical capacities (CS = −0.49), suggesting that greater women´s empowerment was associates with lower food insecurity. Post-intervention, improvements occurred in technical skills, leadership, and organizational participation. Qualitative findings showed increased confidence in Agroindustry activities, though limitations in economic autonomy, commercialization, and domestic workloads persisted. Gender-focused rural strategies enhance productive capacities and food resilience; however, structural barriers related to economic autonomy and gender inequality persist. Full article

To reveal the controlling mechanism of cooling rate on the continuous cooling transformation, microstructure evolution and mechanical performances of Q580R low-temperature pressure vessel steel, this study took industrial-scale Q580R steel as the research object. The JMatPro thermodynamic software was utilized for simulating and calculating its equilibrium phase diagram, TTT diagram, CCT diagram and mechanical property evolution. Continuous cooling experiments with a wide range of cooling rates between 0.1 and 50 °C/s were executed on a Gleeble-3500 thermal simulator. Combined with optical microscopy, scanning electron microscopy and Vickers hardness tester for microstructure characterization and property testing, the measured CCT diagram was constructed and contrasted with the simulation results for verification. Experimentally, the phase composition of Q580R steel evolves at regular intervals with cooling rate. As the cooling rate rises, the ferrite content constantly decreases, the bainite content first increases and subsequently decreases, and the martensite content constantly increases. When the cooling rate reaches 30 °C/s, the martensite proportion can exceed 90%, and the microstructure is significantly refined. The hardness of the material first increases rapidly and subsequently trends to be steady as the cooling rate rises, reaching 308 HV₁₀ at 50 °C/s. The measured transformation law, microstructure evolution and hardness change exceedingly corresponds to the JMatPro simulation results. This validates the credibility of the simulation prediction. This study clarifies the quantitative relationship among “cooling rate-microstructure-properties” of Q580R steel, which can provide theoretical basis and data support for the precise design of heat treatment process and the optimization of strength and toughness. The established relationship can directly guide the formulation of controlled cooling parameters during hot rolling and off-line quenching and tempering production of Q580R pressure vessel plates, helping manufacturers optimize industrial heat-treatment procedures to satisfy low-temperature toughness requirements for petrochemical and cryogenic pressure vessel service. Full article

Cacti thrive in arid and coastal environments partly through associations with beneficial endophytic and rhizosphere bacteria; however, current knowledge remains limited. This study aimed to assess the diversity of cultivable bacteria associated with Opuntia dillenii and evaluate their potential as Plant Growth-Promoting (PGP) agents. Endophytic bacteria were isolated from cladodes and roots, while rhizobacteria were recovered from rhizosphere soil. Bacterial isolates were identified using morphological characteristics and 16S rRNA/gyrB sequencing, followed by screening for PGP traits, pH and temperature tolerance. A total of 31 isolates were obtained, including 23 endophytes and 8 rhizobacteria, mainly affiliated with Firmicutes, Actinobacteria, and Proteobacteria. Bacillus (35.48%) and Priestia (32.25%) predominated, with Priestia flexa as the most prevalent species. The most frequent PGP traits were phosphate solubilization (80.65%), proteolytic activity (70.97%), siderophore production (67.74%), and nitrogenase activity (64.52%). The highest phosphate solubilization indices were observed for strain R3 (3.41), R6 (3.39) and S6 (3.21), whilst the highest indole-3-acetic acid yields were recorded for C9 (172.88 µg/mL), R11 (96.22 µg/mL) and C3 (90.94 µg/mL), and the strongest siderophore production for C3 (30.37 mm), C7 (27.96 mm) and S7 (27.88 mm). These findings highlight O. dilleniid-associated coastal bacteria as promising resources for plant growth and plant stress resilience. Full article

With the shift in advanced packaging toward 3D integration and flexible electronics, it is becoming critical to produce high-quality silicon nitride films under low thermal budgets. To overcome the limitations of low-temperature deposition, this study compares two gas mixtures—SiH₄/NH₃/N₂ and SiH₄/N₂—in plasma-enhanced chemical vapor deposition of silicon nitride coatings. We systematically evaluated how the NH₃ precursor affects deposition kinetics, chemical bonds, non-uniformity, optical properties, and internal stress at different RF powers and electrode gaps. The test results show that NH₃, with its lower dissociation energy, avoids the high activation barrier associated with pure N₂ plasma, leading to a higher reactive nitrogen flux and a doubled deposition rate. In the SiH₄/NH₃/N₂ system, raising RF power from 300 W to 900 W reduced hydrogen content from 23.58% to 12.25%. This suppression of hydrogen promoted structural densification, shifting the mechanical stress from 173.3 MPa to −989.7 MPa. At a larger electrode gap of 19 mm, NH₃’s better diffusion characteristics offset the electric field sensitivity typical of N₂ systems, reducing large-area film non-uniformity by 28.7% compared to a 13 mm gap. This work offers a practical, mass-production-friendly approach for depositing robust, low-hydrogen, highly uniform silicon nitride films at low temperatures. Full article

Steel surface defect inspection plays an essential role in maintaining product quality and production safety in industrial manufacturing. However, existing detection methods still encounter difficulties in accurately identifying tiny defects, suppressing interference from complex backgrounds, and balancing detection accuracy with computational cost. To address these challenges, this paper proposes CNS-YOLOv8, an improved defect detection model based on YOLOv8n. First, a C2f_SCConv module is introduced to enhance multi-scale feature extraction and spatial representation capability. Second, a Normalization-based Attention Module (NAM) is embedded after the high-level semantic feature layer to improve the model’s sensitivity to critical defect regions. Third, a SlimNeck structure is adopted to strengthen feature fusion while reducing computational overhead. Experimental results on the NEU-DET dataset demonstrate that CNS-YOLOv8 achieves 83.1% mAP@0.5 and 49.6% mAP@0.5:0.95, surpassing YOLOv8n by 3.9 and 1.2 percentage points, respectively. In addition, comparative experiments show that CNS-YOLOv8 outperforms Faster R-CNN and YOLOv7 in terms of mAP@0.5 while requiring substantially fewer GFLOPs. In general, the proposed method balances detection accuracy and computational efficiency effectively, highlighting its potential for real-time industrial surface defect detection. Full article

Asymmetric quantum codes are useful for quantum channels in which phase and bit errors occur with different probabilities, since the two distances, $d_z$ and $d_x$, can be controlled separately. We develop a permutation-paired matrix-product construction for such codes over ${\mathbb{F}}_q$. The main task is to build classical code pairs $\mathcal{C},\mathcal{D}\subseteq {\mathbb{F}}_{q^2}^{kn}$ satisfying the Hermitian inclusion ${\mathcal{D}}^{{\perp }_{\mathrm{H}}}\subseteq \mathcal{C}$, while keeping explicit dimension and distance bounds. Let $A\in {\mathbb{F}}_{q^2}^{k\times k}$ be a non-singular-by-columns (NSC) matrix with $A{A}^{†}=D{P}_{\tau }$, where D is an invertible diagonal and $P_{\tau }$ corresponds to an involution $\tau$. For $\mathcal{C}=[C_1,\dots ,C_k]A$ and $\mathcal{D}=[D_1,\dots ,D_k]A$, we prove ${\mathcal{D}}^{{\perp }_{\mathrm{H}}}=[D_{\tau \left(1\right)}^{{\perp }_{\mathrm{H}}},\dots ,D_{\tau \left(k\right)}^{{\perp }_{\mathrm{H}}}]A$. Thus, the global inclusion ${\mathcal{D}}^{{\perp }_{\mathrm{H}}}\subseteq \mathcal{C}$ is equivalent to the shorter paired inclusions $D_{\tau \left(i\right)}^{{\perp }_{\mathrm{H}}}\subseteq C_i$. This yields asymmetric quantum codes with parameters ${\left[[kn,{\sum }_{i=1}^k(r_i+s_i)-kn,d_z/d_x]\right]}_q$, where the bounds for $d_z$ and $d_x$ follow from NSC matrix-product distance estimates. For nested maximum distance separable (MDS) constituents, the paired conditions reduce to $r_i+s_{\tau \left(i\right)}\ge n$, giving explicit infinite families. Concrete $\tau$-OD matrices and numerical examples show that nontrivial permutations can increase the quantum dimension while preserving prescribed lower bounds for $d_z$ and $d_x$. Full article

Sustainable agriculture increasingly relies on organic amendments that integrate circular economy principles. Municipal Solid Waste (MSW)-derived compost (MSW-compost) represents a promising candidate as soil amendment in viticulture, yet its impact on soil microbiota remains poorly investigated. This study assessed the effects of MSW-compost application on the bacterial microbiota of a Mediterranean vineyard soil over a twelve-month period, comparing two application methods (surface mulching and tillage incorporation). Soil DNA was analyzed by 16S rRNA gene metabarcoding, complemented by functional prediction (Picrust2) and the Tea Bag Index to assess soil decomposition activity. MSW-compost significantly increased alpha-diversity and affected beta-diversity (p = 0.001) of the microbiota, regardless of the application method, with significant effects persisting throughout the entire observation period despite a clearly diminishing trend. Devosia emerged as the hub taxon of the co-occurrence network and was increased by compost addition. MSW-compost application mode remarkably affected the microbial network, with mulched treatment leading to a more complex, denser, and more interconnected network. While a similar number of taxa were increased or decreased, functional prediction revealed a notable enrichment of metabolic pathways, both synthetic and degradative, in the MSW-compost amended samples; this finding was supported by the enhanced red tea decomposition data (p = 0.007). Our results indicate that MSW-compost acts as a beneficial soil amendment, simultaneously enhancing microbial diversity and soil decomposition activity. This study provides novel evidence supporting the use of MSW-compost as a sustainable tool for improving soil microbiological quality in productive vineyards. Full article

Zinc deficiency is increasingly recognized as a risk factor for neurodegenerative diseases, yet the underlying molecular mechanisms remain incompletely understood. In this study, we investigated the impact of intracellular zinc depletion on oxidative stress and inflammasome activation in microglial (SIM-A9) and neuronal (SH-SY5Y) cell models, and evaluated the protective effects of polyphenolic compounds. Intracellular zinc chelation with the membrane-permeable chelator TPEN markedly increased reactive oxygen species (ROS) production, reduced cell viability, and upregulated the mRNA expression of NLRP3 inflammasome-related genes and pro-inflammatory cytokines. In contrast, extracellular zinc chelation had no effect, highlighting the critical role of intracellular zinc homeostasis in maintaining redox balance. Zinc supplementation significantly attenuated these responses. Among 32 polyphenols screened by DPPH radical scavenging assay, caffeic acid derivatives—chicoric acid (ChA), rosmarinic acid (RA), and caffeic acid phenethyl ester (CAPE)—exhibited the most potent antioxidant activity, surpassing that of edaravone. These compounds suppressed ROS production and differentially protected against zinc deficiency-induced cellular damage. ChA showed the strongest ROS inhibitory activity (IC50: 1.9 µM in SIM-A9), RA provided robust cytoprotection even at low concentrations, and CAPE most effectively suppressed inflammasome-related gene expression and inhibited aggregation of both Aβ1–42 and the highly neurotoxic pyroglutamate-modified variant pEAβ3–42. These findings demonstrate that intracellular zinc deficiency drives ROS-dependent upregulation of NLRP3 inflammasome-related genes, and suggest that caffeic acid derivative polyphenols may serve as complementary agents for mitigating neuroinflammatory and amyloidogenic processes relevant to Alzheimer’s disease. Full article

Soybean is an important global crop used for oil, food, and feed production. To increase yield and land-use efficiency, growers often plant soybean at a high density or use intercropping systems. Under these systems, soybeans frequently experience shade stress, which directly affects agronomic traits such as plant height. Although researchers have well documented the genetic basis of plant height under normal conditions, the loci responsible for height variation under shade stress remain largely unexplored. Therefore, we performed a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) using SNP linkage disequilibrium block (SNPLDB) markers to identify QTLs associated with soybean plant height under shade stress. We evaluated a natural population of 181 soybean accessions for plant height traits under both normal and shaded conditions across four environments for three years. Using the Soybean40K chip, we derived 11,463 SNPLDB markers and identified 42, 33, and 28 significant SNPLDBs associated with plant height, average internode length, and number of main-stem nodes, respectively. For each SNPLDB, we estimated haplotype (allele) effects and assembled QTL–allele matrices to summarize the population’s genetic composition. Four SNPLDB loci proved stable across multiple environments, exhibiting high −lg(p) values and explaining substantial phenotypic variation. Finally, we projected that 80 candidate genes resided within 180 kb of these stable loci, and we identified four strong candidate genes linked to plant height traits based on combined positional and functional evidence. These results clarify genetic factors that influence soybean height under shading and could aid development of high-yielding soybean varieties. Full article

Cropland and rural settlements are core components of rural human–environment systems, and their coordinated development is crucial for regional sustainability, particularly in China’s major agricultural production regions. Taking the Huang-Huai-Hai region as the study area, this study systematically investigates the spatiotemporal evolution of cropland and its coupling relationship with rural settlements using land use data from 1990 to 2020. Grid-based analysis and multiple spatial modeling methods were employed. The results show that: (1) From 1990 to 2020, the cropland in the region decreased by a net total of 21,021.94 km², with annual dynamic degrees ranging from −0.13% to −0.28%. Cropland conversion to other land uses far exceeded conversion from others, with construction land being the primary destination. Among these, rural settlements and urban construction land accounted for 43.75% and 55.58% of the total cropland loss, respectively. (2) The spatial distribution of cropland exhibited a distinct pattern of “hot in the center and south, cold in the periphery and north” (Moran’s I = 0.232, p < 0.001), indicating significant positive spatial autocorrelation. Hot spot areas clustered in the North China Plain and the Huang-Huai Plain, while cold spot areas were distributed in the Yanshan–Taihang mountains and the hilly regions of the Shandong Peninsula, clearly controlled by topography. (3) Cropland change exhibited stage-specific characteristics. The pattern was relatively stable during 1990–2000. During 2000–2010, cropland conversion to other uses intensified, with high-value conversion areas concentrated around urban agglomerations. In the 2010–2020 period, these high-value conversion areas diffused from the core plain areas to urban fringe zones. (4) The spatial coupling between cropland and rural settlements was predominantly characterized by the Moderately Coordinated Type (MCT), accounting for 48.38–58.44% of the area. However, the proportion of Rural Settlement-Dominant Type (RC) increased from 15.51% to 21.58%, indicating a trend toward intensifying human–environment conflicts. Overall, the Huang-Huai-Hai region experienced significant cropland changes. While its spatial pattern remains relatively stable, the coupling relationship between cropland and rural settlements is deteriorating, posing challenges to regional food security and rural sustainable development. Full article