Search Results (1,788)

This article presents a comparative analysis of the negated antithesis (ṭibāq salb) in pre-Islamic poetry and the Qurʾān using data generated by the Rhetorical Element Identifier (REI), a computational tool capable of automatically detecting this device across both corpora. Drawing on a dataset of 1908 pre-Islamic poems and the full Qurʾānic text, the study explores how shared rhetorical patterns reflect a broader stylistic continuum between the two earliest Arabic literary traditions. While the Qurʾān employs structures attested in the poetic corpus, it frequently reconfigures them—shifting antithetical elements from verse-final to mid-verse positions, creating new syntactic configurations, and deploying the device for didactic and theological aims. The analysis also identifies thirty-three shared verbal roots that appear in comparable grammatical settings across both corpora, underscoring a common semantic foundation. By isolating a single rhetorical feature, the study highlights how the Qurʾān both inherits and reshapes earlier poetic strategies, offering fresh insight into the evolution of early Arabic rhetoric. Full article

Identifying pest infestations in fresh fruits is a crucial aspect of international trade. Currently, inspections rely on visual observations and destructive sampling, which are, in most cases, quite demanding. The detection of oviposition signs or early larval development is largely not feasible. Therefore, new methods that are sensitive and non-destructive are urgently needed to detect fruit fly infestation during inspections of fresh produce before their introduction and spread into pest-free areas. Portable electronic olfactory systems, or electronic noses (e-noses), are used in various scientific fields and industries. In this study, we evaluated the potential of a portable PEN3 electronic nose to discriminate between non-infested and infested fruits for three fruit fly species: Ceratitis capitata (Wiedemann), Bactrocera dorsalis (Hendel), and Bactrocera zonata (Saunders) (Diptera: Tephritidae). E-nose datasets were generated from samples of each combination of fruit, fruit fly species, infestation status, and storage condition. These datasets were used to develop classification models. The classification accuracy of the models ranged from 50 to 99% during calibration and cross-validation conditions. However, their performance decreased substantially when applied to independent datasets, highlighting limitations in robustness. These findings indicate that although the PEN3 system shows promise as a non-destructive detection tool, its performance is strongly influenced by seasonal and experimental variability. Further work is needed to incorporate multi-season and multi-variety datasets, improve calibration, and robust validation before practical implementation in field inspection systems. Full article

Pharmaceuticals are increasingly recognized as emerging contaminants with potential impacts on agroecosystems. Among these, antibiotics such as ciprofloxacin (CPX) persist in wastewater and may enter agricultural soils through irrigation or fertilization practices, yet their effects on crop plants remain poorly understood. This study evaluated the phytotoxic effects of ciprofloxacin on early growth and photosynthetic pigment content in purple maize (Zea mays L.), a variety of nutritional and cultural importance. Seeds were germinated in an agar-based medium (0.5%) and exposed to three concentrations of ciprofloxacin (3, 10, and 30 mg·L⁻¹) for seven days under controlled conditions. Germination percentage, seedling fresh weight, organ length (root, stem, and leaf), and photosynthetic pigment concentrations (chlorophylls a and b, and carotenoids) were determined. Ciprofloxacin exposure resulted in dose-dependent reductions in germination (from 83% at 3 mg·L⁻¹ to 50% at 30 mg·L⁻¹) and root elongation, while stem length remained unaffected. Chlorophyll content decreased with increasing ciprofloxacin concentration, with the lowest values observed at 30 mg·L⁻¹, while carotenoid levels remained stable, with no statistically significant differences observed. Although ciprofloxacin is typically detected in environmental matrices at ng–µg L⁻¹ levels, higher concentrations may occur in localized contamination hotspots; ciprofloxacin affected early developmental and physiological processes in maize under these elevated exposure conditions. These findings highlight the importance of integrating phytotoxicity assessments into agricultural ecopharmacovigilance strategies and contribute to understanding the risks associated with pharmaceutical contamination in crop production systems. Full article

Open-source bioprinting can broaden access to biofabrication, enabling existing systems to perform high-resolution tissue manufacturing. However, most of these focus on low cost, easy assembly, or specific biomaterial ink rather than making a robust standardized and modularized multifunction platform. In this study, we present CrystalCells, a user-friendly modular open-source bioprinting system centered on the TridentExtruder, a high-performance syringe extruder with extrusion/retraction capability and tool-free automated syringe coupling. The system enables the automated exchange of syringe, temperature-controlling, microscope, and pipette modules. Repeated syringe return-and-pickup cycles showed repositioning errors within ±20 μm, while the extruder generated pressures above 950 kPa and exhibited lower elastic deformation than the Replistruder 4 under the same pressure conditions. CrystalCells supported the extrusion of pre-crosslinked alginate, FRESH printing, and dual-biomaterial inks printing with automated exchange. A microscope module resolved stained HeLa cells and enabled layer-by-layer imaging for defect detection during printing. A thermoelectric module maintained the syringe barrel below 6 °C during the printing of an alginate–collagen biomaterial ink at 23 °C (room temperature), and a pipette module transferred 2–10 μL volumes with errors within ±0.5 μL. These results show that CrystalCells is an open-source modular biofabrication platform integrating printing, imaging, temperature control, and liquid handling within a single workflow. Full article

Battery datasets, whether gathered experimentally or through simulation, are typically high-dimensional and complex, which complicates the direct interpretation of degradation behavior or anomaly detection. To overcome these limitations, this study introduces a framework that compresses battery signals into a low-dimensional representation using an autoencoder, enabling the extraction of informative features for state analysis. A central component of this work is the systematic comparison of latent representations obtained from two fundamentally different data sources: frequency-domain impedance data and time-domain voltage-current data. The close agreement of aging trajectories in both representations suggests that information traditionally derived from impedance analysis can also be captured directly from raw time-series signals. To better approximate real operating conditions, synthetic datasets are augmented with stochastic perturbations. In this context, latent spaces learned from idealized periodic inputs are contrasted with those derived from permuted and noise-contaminated signals. The resulting low-dimensional features are subsequently evaluated through a support vector machine with both linear and nonlinear kernel functions, allowing the categorization of battery states into fresh, aged and damaged conditions. The results demonstrate that the progression of battery degradation is consistently reflected in the latent space, independent of the input domain or signal quality. This robustness indicates that the proposed approach can effectively capture essential aging characteristics even under non-ideal conditions. Consequently, this framework provides a basis for developing advanced diagnostic strategies, including the design of pseudo-random excitation profiles for improved battery state assessment and optimized operational control. Full article

Several species of the genus Acinetobacter are nosocomial pathogens with a well-documented ability to acquire resistance to multiple antibiotics. Although Acinetobacter is one of the most abundant genera in meat processing environments, data on this genus outside of clinical environments remains limited. The objective of this study was to ascertain the prevalence, diversity and antimicrobial resistance profile of Acinetobacter spp. in 200 samples collected from food contact surfaces, non-food contact surfaces, carcasses and final meat cuts across five pork, chicken and beef processing facilities, each comprising physically connected slaughterhouses and meat processing plants. Acinetobacter spp. were detected in 80% (95% CI = 71–87%) and 70% (95% CI = 60–79%) of samples from slaughterhouses and processing plants, respectively. The facilities harboured a wide diversity of Acinetobacter species, with 27 different species identified. Acinetobacter baumannii was the species most frequently detected. Whole-genome sequencing of 18 Acinetobacter spp. isolates revealed the presence of ARGs conferring resistance to beta-lactams, tetracyclines and aminoglycosides, and disclosed phylogenetic relationships with isolates from fresh meat. Phenotypic resistance to beta-lactams, fluoroquinolones, aminoglycosides, folate pathway inhibitors and/or tetracyclines was observed in 77.8% of the sequenced isolates, with 44.4% classified as multidrug-resistant. These findings identify meat processing environments as an important reservoir of Acinetobacter spp. and highlight the need for further investigation to prevent the dissemination of antimicrobial-resistant strains. Full article

Weed control in rice remains a critical challenge in direct-seeded rice cultivation. This study combined field and laboratory experiments to compare the efficacy of nine herbicide combinations against weeds in dryland rice fields and to evaluate their impact on rice economic traits. A model was constructed using principal component analysis for comprehensive evaluation, aiming to identify optimal herbicide combinations for direct-seeded rice under shallow drip irrigation in Hinggan League. The results indicate that pendimethalin provides better pre-emergence control compared to oxadiargyl and pretilachlor. The combination of florpyrauxifen-benzyl + benzobicyclon provided optimal weed control efficacy and rice economic performance when applied as a foliar treatment. Forty-five days after application, weed control efficacy against Echinochloa crus-galli (L.) P. Beauv. and Amaranthus retroflexus L. was 72% and 85%, respectively, with fresh weight reduction of 63%. Theoretical yield reached 4285.48 kg·ha⁻¹. At rice harvest, no herbicide residues were detected in rice straw or grains across all treatments, confirming the safety of the applied treatment for rice. Principal component analysis (PCA) was used to evaluate the comprehensive scores of each treatment, with pendimethalin + florpyrauxifen-benzyl + benzobicyclon achieving the highest score of 0.65. The study indicates that the combination of pendimethalin as a pre-emergence and florpyrauxifen-benzyl + benzobicyclon offers significant advantages in weed control efficacy and rice growth, achieving the highest comprehensive evaluation score. This combination holds important application value for weed control and grain yield assurance in direct-seeded rice fields. Full article

The increasing occurrence of antibiotic residues in poultry meat represents a serious food safety concern associated with antimicrobial resistance and potential risks to human health. This study investigated the effects of electron beam irradiation on antibiotic residues and nutritional quality parameters of poultry meat. All experiments and data collection were carried out in 2025. Fresh poultry samples were irradiated using an ILU-10 pulsed linear electron accelerator at doses of 2, 4, 6, 8, and 10 kGy. Antibiotic residues were determined by HPLC-DAD, amino acid composition was analyzed using HPLC, and fatty acid profiles were evaluated by gas chromatography. Electron beam irradiation produced significant dose-dependent changes in the chemical composition of poultry meat. Total amino acid content decreased progressively with increasing irradiation dose, with reductions of up to 60–73% at 10 kGy depending on tissue type. Branched-chain and essential amino acids showed similar trends. Fatty acid analysis revealed a shift toward higher proportions of saturated fatty acids and a decline in monounsaturated and polyunsaturated fatty acids. The PUFA/SFA ratio decreased from 0.48 in control samples to 0.25 at 10 kGy. Tetracycline residues were not detected in any samples, whereas chloramphenicol residues were present in control meat but were progressively reduced after irradiation and became undetectable at doses ≥ 8 kGy. These results demonstrate that electron beam irradiation can effectively reduce antibiotic residues in poultry meat; however, higher irradiation doses may significantly alter amino acid and lipid composition. Therefore, optimization of irradiation parameters is necessary to balance improvements in food safety with the preservation of nutritional quality for the production of safe and sustainable food products. Optimization of irradiation parameters is therefore necessary to balance food safety benefits with preservation of nutritional quality. Furthermore, this research contributes to the achievement of Sustainable Development Goal (SDG) 2, while the obtained results also support SDG 3 by promoting safer food systems and protecting public health. Full article

Fresh figs are characterised by high perishability, leading to a limited postharvest shelf life. Consequently, preharvest elicitor application strategies have been explored to enhance their quality and storability. During the 2022 and 2023 seasons, figs (cv. Calabacita) grown under high-density conditions were treated with oxalic acid (OA; 1 and 2 mM), melatonin (MEL; 0.1 and 0.5 mM), and γ-aminobutyric acid (GABA; 10 and 50 mM) through foliar sprays applied two or three times. Fruits were harvested at commercial maturity and analysed immediately after harvest. Physicochemical and bioactive parameters were determined. Analysis of variance was used to assess treatment effects, and t-tests were used to evaluate differences in the number of applications and between seasons. Significant seasonal effects were observed, whereas no cumulative effect from repeated applications was detected. OA at 2 mM increased fruit weight (37.9 g) and size (42.5 mm) and delayed ripening. MEL treatments enhanced sugar accumulation (100.1 g kg⁻¹ and 96 g kg⁻¹ of glucose and fructose, respectively), while GABA treatments were associated with a more advanced maturity stage. Notably, OA (2 mM), MEL (0.5 mM), and GABA (50 mM) significantly increased enzymatic antioxidant activity by an average of 24% and non-enzymatic antioxidant capacity by around 17% in general terms. These results indicate that preharvest elicitor application is a promising and eco-friendly approach to improve the nutritional value and overall quality of fresh figs. Full article

To address the low accuracy of traditional freshness detection/grading and poor adaptability to different shell colors in the duck egg industry, this study developed a non-destructive detection model and an integrated device for duck egg freshness based on machine vision combined with eggshell optical property analysis. A four-sided yolk transmission imaging system was designed, and accurate yolk region segmentation was achieved via grayscale conversion, a weighted improved Otsu algorithm for whole-egg segmentation, histogram equalization enhancement, and K-means clustering in the LAB color space. A relational model between the average four-angle yolk projected area ratio and Haugh Units (HU) freshness grades was constructed, with grading thresholds determined by constrained optimization combined with the Youden index to balance food safety and grading accuracy. Experimental results showed the model achieved an overall freshness grade discrimination accuracy of 91.3%, with a sensitivity of 97.1% and specificity of 98.9% for inedible Grade B (HU < 60) duck eggs and below. An automated testing device was further developed, adopting a roller-rotating motor collaborative mechanism for automatic flipping and imaging, and equipped with a 10 W/5500 K LED cool white light source to solve the problem of poor adaptability to different shell colors. The device achieved an overall discrimination accuracy of 88.5% with a detection time of ≤5 s per egg, and its host computer can real-time output the yolk area ratio, predicted HU value, and freshness level. This study provides a high-precision and low-cost technical solution for the refined grading of the poultry egg industry. Full article

This study analyzed the elemental composition of 20 cultivated fig (Ficus carica L.) cultivars, evaluated their contribution to the Recommended Nutrient Intake (RNI), and assessed potential dietary risks associated with trace elements. Thirteen elements (K, Mg, Ca, P, S, Zn, Cu, Mn, Se, B, As, Pb, Cd) were quantified using inductively coupled plasma mass spectrometry (ICP-MS), and the Health Risk Index (HRI) was calculated for trace elements. The results indicated that K was the most abundant mineral, ranging from 197 to 355 mg/100 g fresh weight (FW), followed by P (18–35 mg/100 g FW) and Mg (14–29 mg/100 g FW). A 100 g FW serving provided 9.9–17.8% of the adult RNI for K, 4.2–8.8% for Mg, and 2.5–9.9% for Cu. Multivariate analysis revealed distinct differences in mineral composition among the cultivars, classifying them into four groups. Varieties in Cluster 1 were rich in Mg, Ca, and Zn, whereas those in Cluster 2 exhibited higher Cu content. These findings highlight substantial cultivar-dependent differences in elemental composition and suggest that figs can contribute useful amounts of several essential minerals. In this adult dietary exposure assessment, detected trace element concentrations suggested negligible human health risks based on established experimental conditions. However, the present evaluation did not account for variable mineral bioavailability and individual differences in human intestinal absorption efficiency. Full article

Phthalate esters (PAEs) are ubiquitously emerging pollutants in the environment and have a notably high detection rate in tea; they can leach out during consumption and pose potential risks to human health. However, the process of PAEs entering and accumulating in tea plants is undocumented. This study investigated the uptake of PAEs in tea plant seedlings, focusing on both root and foliar pathways under hydroponic conditions. In controlled indoor deposition experiments, PAEs on fresh tea leaves underwent rapid degradation within five days, with the degradation rates ranging from 66.98% to 81.69%; outdoor rates exhibited even higher degradation rates. This degradation process followed first-order kinetics. The results revealed that tea plants were capable of absorbing and translocating PAEs via roots and leaves, culminating in their accumulation in various tea plant tissues. The Root Concentration Factor (RCF) was highest for di(2-ethylhexyl) phthalate (DEHP). Conversely, the shoot concentration factor, Leaf Concentration Factor, and Translocation Factors for the leaves, stems, and roots for the PAEs were inversely related to the RCF. The moderated mediation analysis suggested that root concentration was strongly influenced by translocation-mediated pathways. However, leaf concentration was largely not mediated by the translocation pathways. These findings indicate that both root uptake and foliar deposition can contribute to PAE accumulation in tea plants, providing a basis for source apportionment and for designing targeted control strategies to reduce PAE contamination in tea production systems. Full article

To investigate how the content of silica fume (SF) influences the performance of foam concrete (FC) after high-temperature exposure and the underlying mechanisms, this study prepared standard FC cube specimens with SF contents of 0%, 0.15%, 0.2%, 0.25%, and 0.3%. The working properties of the material at room temperature were systematically tested, and the mass loss, residual compressive strength, failure mode, microstructure and acoustic emission (AE) data at different temperatures (100 °C, 200 °C, 300 °C and 400 °C) were analyzed. The test results indicate that increasing the SF content reduces the fluidity of the fresh paste yet significantly enhances the compressive strength and lowers the water absorption of FC at room temperature. After high-temperature exposure, the effect of SF exhibits a dual character: at 200 °C and below, SF effectively mitigates the performance degradation of FC. However, when the temperature reaches 300–400 °C, specimens with an excessively high SF content (e.g., 0.3%) experience rapidly built-up internal steam pressure that cannot escape in time, which triggers the formation and propagation of a microcrack network and leads to a sharp drop in strength. Based on AE detection and scanning electron microscopy (SEM) image analysis, the failure process of silica fume foam concrete (SFFC) proceeds through three stages: free water evaporation at low temperatures, dehydration shrinkage of the C-S-H gel at medium temperatures, and finally, structural failure marked by the collapse of the C-S-H gel network at high temperatures. This study indicates that an SF content of 0.25% allows FC to achieve an optimal balance between mechanical properties and high-temperature stability. The findings provide a theoretical basis for optimizing FC mix proportions and enhancing fire prevention design. Full article

The molecular characterization of embryogenic cultures helps us to understand the physiology of somatic embryogenesis and the events related to the occurring cell reprogramming and then to optimize protocols for this process. The present work seeks to contribute to these aims by biochemically defining embryogenic and non-embryogenic cell suspensions of two commercial bananas: Musa spp. cvs. ‘Grande Naine’ (AAA) and “FHIA-18” (AAAB). Thus, two types of putative biochemical indicators of embryogenic potential were studied: (i) major intracellular polyamines—1,3-diaminopropane (DAP), putrescine (Put), spermidine (Spd), and spermine (Spm)—taking into account their type of linkage with other molecules, and (ii) released endochitinase EP3-like proteins. Polyamine profiles of embryogenic and non-embryogenic cultures were analyzed using high-performance liquid chromatography (HPLC) with fluorescence detection, whereas immunoanalytical techniques (dot and Western blot) allowed the evaluation of the association of EP3-like proteins with different stages of somatic embryogenesis. The results indicated that polyamine contents and ratios discriminate the capacity for somatic embryogenesis and differentiation/proliferation status in cell suspensions. For example, the absence of Spm in the insoluble conjugate fraction of polyamines, lower Put contents (less than 1000 nmol per gram of fresh mass), and a lower free Put/Spm ratio (less than 1) were indicative of embryogenic cell suspensions when compared with those that were non-embryogenic and more proliferative. Furthermore, EP3-like proteins of banana were mainly released in highly embryogenic cultures. This supports the important role of EP3-like proteins in the viability of plants, since these enzymes are found to be related to somatic embryogenesis in a wide range of plant species. Full article

Sargassum is a widespread brown seaweed species and a source of bioactive compounds with promising antioxidant potential. Unfortunately, to date, the Sargassum species remains largely unexplored. This study was conducted to explore the bioactive compounds from Sargassum ilicifolium extracts collected from Nguyahan and Sundak Beaches, Gunungkidul, Indonesia, by observing Liquid Chromatography–High Resolution Mass Spectrometry (LC-HRMS)-based metabolomics profiling and antioxidant activity assays. Metabolomic analysis detected 506 molecular features across different extraction methods and solvents, with five metabolites putatively dereplicated, including atractylenolide III, pheophorbide A, 13-docosenamide, 1,3,6,8-tetrahydroxy-2-(1-hydroxyhexyl)anthracene-9,10-dione, and 5-hydroxy-6E,8Z,11Z,14Z,17Z-eicosapentaenoic acid. Extraction parameters, particularly solvent polarity and sample pretreatment, have been shown to affect the metabolite variation. Dried samples showed less variation in metabolites than the fresh sample. Antioxidant activity assay showed a moderate to high radical scavenging activity (30–100%), with methanol extracts as a polar solvent inhibited more than semipolar solvents. This study provides a metabolomics-guided assessment of the antioxidant potential of S. ilicifolium, supporting its value and potential as a source of bioactive compounds for future pharmaceutical and nutraceutical applications. Full article