Search Results (1,812)

Drought stress poses a significant challenge to food security in sub-Saharan Africa, particularly for smallholder farmers in dryland systems. Bambara groundnut (Vigna subterranea (L.) Verdc.), an underutilised legume with inherent drought tolerance, remains underexplored in terms of its root system traits. This greenhouse study investigated the early root and shoot responses of six Bambara groundnut genotypes under well-watered (100% field capacity) and water-stressed (50% field capacity) conditions using rhizotron-based phenotyping. Significant genotypic differences (p < 0.01) were observed in root traits such as root system depth (RSD: 11.0–19.9 cm), root system width (RSW: 6.96–12.2 cm), and root dry mass (RDM: 0.42–1.27 g). The ARC genotype exhibited a strong drought-avoidance strategy, increasing RSD from 12.2 to 19.9 cm and RDM from 0.42 to 1.16 g under stress. The Tiga Nicuru DIP-C-F7471 genotype showed adaptive plasticity, maintaining deeper roots (11.0–14.5 cm), high convex hull area (CHA), and root–shoot ratio (RSR) values, despite a reduction in RDM, suggesting a resource-conserving strategy. Principal Component Analysis (PCA) captured 93.6% of the total variability among genotypes. Root traits, particularly total root length (TRL), convex hull area (CHA), root system width (RSW), and root dry mass (RDM), were the main contributors to genotype differentiation. Strong positive correlations (r = 0.88–0.97) between root and shoot traits suggest that genotypes with more developed root systems also supported greater shoot growth, highlighting the coordinated response of above- and below-ground traits under drought stress. These findings provide valuable targets for breeding and highlight the value of rhizotron-based screening for root trait selection. Future field validation and full-season studies are recommended to confirm their relevance for improving yield stability in dryland agriculture. Full article

Meat quality serves as a pivotal determinant of consumer purchasing behavior and of the economic viability of the livestock industry; as such, research into its regulatory mechanisms is of critical significance for the development of modern agriculture. Traditional investigations into meat quality have predominantly centered on sensory and physicochemical assessments of ultimate phenotypic traits, thereby facing inherent limitations in systematically deciphering the intricate molecular regulatory networks underlying meat quality formation. By contrast, an integrated analysis of the transcriptome and metabolome effectively connects the cascade of “gene transcription—metabolic regulation—phenotypic determination,” which has emerged as a core methodological paradigm in contemporary research on the molecular mechanisms governing meat quality. This review systematically delineates the evolutionary trajectory and principal technological frameworks of meat quality evaluation systems, with a focused synthesis of recent advances achieved through combined transcriptomic and metabolomic analyses in the field of meat quality regulation. The scope of this review encompasses core transcriptional regulatory networks associated with meat quality attributes, pivotal metabolic pathways, signal transduction mechanisms, and protein degradation dynamics. Furthermore, the regulatory impacts exerted by genetic variation among breeds, nutritional modulation, rearing environments, and stress responses on meat quality characteristics are comprehensively elucidated. Integrative analysis reveals that combined transcriptome–metabolome approaches transcend the inherent limitations of single-omics investigations, systematically unraveling the hierarchical regulatory mechanisms governing fundamental meat quality traits, such as muscle fiber type differentiation, postmortem glycolytic progression, intramuscular fat deposition, and flavor compound accumulation. Such integrative strategies have facilitated the identification of functional genes and metabolic biomarkers with potential utility for the early prediction of meat quality outcomes. Concurrently, this review acknowledges persistent challenges confronting the field, including the absence of standardized protocols for multi-omics data integration, insufficient functional causal validation, and a discernible disconnect between research discoveries and practical industrial implementation. Building upon this comprehensive assessment, prospective directions for future multi-omics research in meat quality are proposed, accompanied by the formulation of an integrated end-to-end improvement framework spanning fundamental research, technological innovation, and industrial application. Collectively, this review provides a systematic theoretical foundation for the in-depth elucidation of mechanisms that determine meat quality and the precision-oriented regulation of quality-determining traits in livestock production practices, thereby offering substantial scientific guidance for quality improvement initiatives within the animal husbandry sector. Full article

The energy sector and its technological landscape are rapidly changing, driven by the global need to minimize the reliance on non-renewable resources. The energy transformation over the past five years has resulted in sustainable energy initiatives involving innovative adaptations of energy technologies by regional local authorities. In this context, and as local action will eventually decide global sustainability, this article explores the ways that sustainable strategies and energy actions were comprehended and adopted by regional public authorities. The focus area is the island of Crete in Greece. Owing to its geographical position and the nearly autonomous institutional structure of the broader state apparatus, it serves as a microcosm of a state, rendering it an effective imitation of the Greek state. The methodology of this study is derived from both the relevant literature outcomes and the national legislative framework. A document review served as a preliminary tool to investigate national and regional policy frameworks. This was followed by in-depth interviews with regional stakeholders to collect primary data on implementation. This study’s originality derives from addressing the gap between the proposed measures imposed by the state, along with various sustainable activities from a holistic perspective, and their actual uptake in Crete. The analysis of the results provides insights regarding their effectiveness based on the regional authorities’ approach in a developed South Mediterranean country. The article confirms that municipalities’ heterogeneity and structural differentiation are critical for sustainable energy transition and concludes with future research directions worthy of thorough examination, towards energy transition maturity of an insular region. Full article

High-frequency endoscopic ultrasound is crucial for the early diagnosis of gastrointestinal tumors. However, achieving high axial resolution, deep tissue signal-to-noise ratio, and real-time data processing simultaneously remains a significant challenge in hardware implementation. This paper proposes a miniaturized real-time high-frequency imaging system based on the Xilinx Artix-7 FPGA. To overcome attenuation limitations of high-frequency signals, we employ a 4-bit Barker code-encoded excitation scheme coupled with a programmable ±100 V high-voltage transmission circuit. This effectively enhances echo energy without exceeding peak voltage safety thresholds. At the receiver end, the system utilizes a multi-channel analog front end integrated with mixed-signal time-gain compensation technology. Furthermore, to address transmission bottlenecks for massive echo data, we designed a Low-Voltage Differential Signaling (LVDS) interface logic based on dynamic phase calibration, ensuring stable, high-speed data transfer to the host computer via USB 3.0. Experimental results with a 20 MHz transducer demonstrate that the system achieves real-time B-mode imaging at 30 frames per second. Phantom testing revealed an axial resolution of 0.13 mm, enabling clear differentiation of 0.1 mm microstructures. Compared to conventional single-pulse excitation, coded excitation technology improved signal-to-noise ratio (SNR) by approximately 4.5 dB at a depth of 40 mm. These results validate the system’s capability for high-precision deep imaging suitable for clinical endoscopy applications, delivered in a compact, low-power form factor. Full article

Octopuses of the genus Scaeurgus inhabit upper bathyal benthic habitats and are composed of five recognized species. In this study, we conducted morphological and molecular phylogenetic analyses of two individuals of Scaeurgus and provided additional field observations of the genus in seamounts of the Nazca and Salas y Gómez ridges (southeast Pacific Ocean) over the last six years. Specifically, two specimens of Scaeurgus were collected at 234 m depth in 2019 during the EPIC oceanographic cruise onboard the R/V Mirai (JAMSTEC, Japan), and five other specimens were video recorded at depths between 210 and 340 m during three oceanographic expeditions in 2024 onboard the R/V Falkor (too) (Schmidt Ocean Institute). Both specimens collected during 2019 corresponded to medium-sized females (18 and 38 mm mantle length). Each arm presented 108–132 biserial suckers, nine to ten lamellae per demibranch, and a W-shaped funnel organ. Morphological traits evidenced a closer resemblance of these specimens to S. patagiatus from the NW Pacific; however, phylogenetic evidence did not clearly differentiate them from S. unicirrhus from the Atlantic and the Mediterranean. Although molecular evidence supports the hypothesis of the monophyly of Scaeurgus, further morphological and genetic analysis are needed to delimit and validate the different species proposed along the global distribution of the genus. Full article

Tripterygium glycoside tablets (TGT), a representative formulation derived from Tripterygium wilfordii Hook F, have limited clinical application due to adverse reproductive toxicity. In previous studies investigating the effects of TGT on chronic kidney disease (CKD), it was found that both TGT and its alkaloid-enriched fraction (AEF) induced testicular atrophy, suggesting that AEF may be the material basis for the reproductive toxicity of TGT. Therefore, the reproductive toxicity of AEF was investigated in depth. This study established a CKD rat model to investigate the toxic effects of TGT, AEF, and the non-alkaloid-enriched fraction (NAEF) on the reproductive system during CKD treatment. Network toxicology and metabolomics were combined to elucidate the underlying mechanisms of AEF-induced reproductive toxicity. The results showed that both TGT and AEF significantly reduced testicular index and sperm concentration, causing seminiferous tubule atrophy and disrupting the levels of testosterone (T), follicle-stimulating hormone (FSH), and luteinizing hormone (LH). Furthermore, TGT, AEF, and NAEF all significantly inhibited the proliferation of GC-1 cells. Network toxicology indicated that AEF modulates targets such as SRC, AKT, and HSP90AA1, thereby influencing pathways including the PI3K-AKT signaling pathway and pathways in cancer. Metabolomics obtained 89 differential metabolites of AEF, which were enriched in glycerophospholipid, linoleic acid, and arachidonic acid metabolism, a finding consistent with the constructed “metabolite–enzyme–reaction–gene” network. In summary, AEF exerts reproductive toxicity primarily by disrupting hypothalamic–pituitary–testicular axis homeostasis and perturbing glycerophospholipid, linoleic acid, and arachidonic acid metabolism. Full article

Both the Lower Silurian Longmaxi Formation and the Upper Permian Dalong Formation shales in southern China are organic-rich with well-developed nanoscale reservoir pores, demonstrating significant shale gas exploration potential. However, the current lack of in-depth research on the differential depositional and reservoir evolution characteristics of these two shale sequences has left the main controlling factors of the reservoirs unclear, thereby constraining breakthroughs in shale gas development. Focusing on the Longmaxi and Dalong formation shales in the Sichuan Basin, this study employed various analytical methods, including major and trace element analyses, X-ray diffraction (XRD), high-pressure mercury intrusion (HPMI), nitrogen adsorption, CO₂ adsorption, and scanning electron microscopy (SEM). Investigations into the depositional paleoenvironment, paleoproductivity, organic matter enrichment, and microscopic difference mechanisms of nanoscale reservoirs reveal that the Longmaxi Formation shale represents a passive continental margin shelf facies. It is characterized by strong terrigenous input, a predominance of quartz and clay minerals, and consists mainly of siliceous and argillaceous shale facies with high organic matter abundance. In contrast, the Dalong Formation shale was deposited in an intra-platform basin under the influence of intra-platform rifting. It features weak terrigenous input, highly reducing conditions, and strong paleoproductivity. Dominated by quartz and carbonate minerals, its lithofacies are primarily siliceous and calcareous shales. Within the Dalong Formation, the diagenetic dissolution of carbonate minerals promotes the development of micrometer-scale pores larger than 100 μm, while the extensive thermal evolution of organic matter fosters the formation of honeycomb- and embayment-like nanoscale micropores and mesopores, rendering it a relatively superior shale reservoir. Ultimately, the high-TOC shales in the lower part of the Longmaxi Formation and the upper part of the Dalong Formation are identified as the primary sweet spot intervals for future shale gas development. Full article

This study investigated the synergistic effects of liquid fermentation of rapeseed meal (RSM) on feed microbiota, growth performance, and muscle development in growing pigs. RSM was fermented using four compound probiotics and eleven enzyme preparations, and microbial changes were analyzed using 16S rRNA sequencing. Seventy-two Duroc × Jingfen White pigs were randomly assigned to three groups: soybean meal (Ctrl), RSM, and fermented RSM (FRSM). FRSM showed higher trichloroacetic acid-soluble protein (TCA-sp) content and significantly lower neutral detergent fiber (NDF), acid detergent fiber (ADF), anti-nutritional factors (ANFs), and toxins (TS) (p < 0.01). Fermentation increased microbial diversity, with higher abundances of Lactobacillus and Pediococcus. Compared with Ctrl and RSM, the feed-to-gain ratio (F/G) decreased in the FRSM group (p < 0.01). FRSM also improved serum antioxidant capacity, enhanced intestinal villus height (VH)and villus height/crypt depth ratio (VH/CD), and upregulated the expression of tight junction proteins (ZO-1, occludin) and the anti-inflammatory factor IL-10 (p < 0.01). FRSM group also increased myofiber diameter and cross-sectional area in the longissimus dorsi and elevated MyoD, MyoG and Myf5 expression (p < 0.01). RNA-seq revealed 2094 differentially expressed genes enriched in metabolic pathways. Overall, FRSM improved growth performance, intestinal health, and muscle development in growing pigs, which may guide the development of protein resource utilization technologies. Full article

Traditional Chinese prescriptions are characterized by complex chemical constituents and wide variations in constituent content, which pose a substantial challenge to their comprehensive characterization. As a classic traditional Chinese prescription known for its heat-clearing and detoxifying properties, Huangqintang Decoction (HQD) is composed of Scutellariae Radix, Paeoniae Radix Rubra, Glycyrrhizae Radix et Rhizoma, and Jujubae Fructus. In this study, we developed an off-line two-dimensional liquid chromatography that addressed the limitations of traditional analysis of unfractionated extracts, such as restricted peak capacity, which often obscured trace components. By coupling with ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS), this study successfully performed rapid identification or characterization of the complete chemical profile of HQD. Notably, beyond high-throughput identification, this approach leveraged characteristic fragment ions and reversed-phase chromatographic behaviors to differentiate some isomers of flavonoid glycosides and triterpenoid saponins, demonstrating its depth in structural identification. Flavonoid glycoside isomers were distinguished by diagnostic neutral losses, while flavanones and chalcones were characterized by retro-Diels–Alder (RDA) and β-rearrangement, respectively. Isomers of triterpenoid saponins were inferred from aglycone-specific pathways alongside RDA cleavages. Ultimately, a total of 192 compounds were identified, including 88 flavonoids, 80 triterpenoids, 7 monoterpene glycosides, 3 fatty acid amides, 3 phenylethanoid glycosides, 4 coumarins, 3 saccharides, 1 organic acid, and 3 others. This study demonstrated that the off-line two-dimensional liquid chromatography analysis strategy significantly enhanced chromatographic resolution and expanded the coverage of trace components. It presented an effective strategy for comprehensive compound identification in complex traditional Chinese medicine prescriptions. Full article

To investigate the main drivers of rhizosphere soil microbial community structure and diversity in Camellia reticulata, this study collected rhizosphere soil samples from six regions at two soil depths (0–30 cm and 30–60 cm). Using high-throughput sequencing, we systematically analyzed the effects of soil environmental factors on microbial communities. The results showed that the dominant bacterial phyla were Proteobacteria, Acidobacteriota, Chloroflexi, Actinobacteriota, and Bacteroidota, while the dominant fungal phyla were Ascomycota, Basidiomycota, and Mortierellomycota. Alpha diversity of both bacterial and fungal communities was higher in surface soils (0–30 cm) than in deeper layers (30–60 cm), although the differences were not statistically significant (p > 0.05). Soil pH, potassium content (K), and catalase activity (S-CAT) were identified as the main environmental factors significantly correlated with microbial community structure. Network analysis identified Acidobacteriota and Ascomycota as highly connected taxa within microbial networks, suggesting their potential importance in maintaining network structure. This study reveals the vertical differentiation characteristics of rhizosphere microbial communities in C. reticulata and their responses to environmental factors, providing a theoretical basis for cultivation management and rhizosphere microecological regulation. Full article

Background/Objectives: Periodontitis and diabetes mellitus (DM) are chronic inflammatory conditions that share common biological mechanisms, including systemic inflammation and insulin resistance. Adipokines are considered key mediators in this interrelationship; however, the roles of many adipokines remain unclear. Apelin and asprosin are relatively novel adipokines that have not yet been sufficiently investigated in dentistry. Therefore, this study aimed to evaluate salivary apelin and asprosin levels in periodontally healthy individuals, patients with periodontitis, and patients with periodontitis + DM and to investigate their associations with clinical periodontal parameters. Methods: A total of 90 individuals were included in the study, comprising 30 periodontally healthy subjects, 30 with periodontitis, and 30 with periodontitis and DM. Clinical periodontal indices and body mass index (BMI) were measured for each participant. Unstimulated saliva was collected from each participant, and apelin and asprosin concentrations were analyzed using an enzyme-linked immunosorbent assay (ELISA). The normality of continuous variables was examined with the Shapiro–Wilk test. For non-normally distributed data, non-parametric procedures such as the Mann–Whitney U and Kruskal–Wallis tests were applied. Comparisons of categorical variables between groups were performed using Pearson’s chi-square or the Fisher–Freeman–Halton test. Associations between continuous parameters were assessed through Spearman’s rank correlation analysis. A significance threshold of 5% (p < 0.05) was adopted for all statistical evaluations. Results: No significant intergroup differences were detected for age, gender, or BMI. The healthy group exhibited significantly lower plaque index (PI), gingival index (GI), and probing depth (PD) scores compared with both periodontitis groups, and these differences reached statistical significance (p < 0.001).The median salivary apelin level in the periodontitis + DM group was significantly reduced relative to the healthy group (p = 0.009). However, salivary asprosin concentrations did not differ significantly among the groups (p = 0.053). Spearman’s correlation analysis revealed positive correlations between asprosin and PD and clinical attachment loss (CAL), whereas apelin showed negative correlations with these parameters. Conclusions: Salivary apelin may serve as a potential biomarker for distinguishing healthy individuals from those with diabetic periodontitis. The opposing correlation patterns indicate that apelin and asprosin may be differentially related to periodontal tissue breakdown. However, further longitudinal and mechanistic studies are required to clarify the biological significance of these associations. Full article

Forest fires are becoming increasingly prevalent and destructive in many regions of the world, posing significant threats to biodiversity, ecosystems, human settlements, climate, and the economy. The United States of America (USA), Australia, Canada, Greece and Portugal are five regions that have experienced enormous forest fires. One way to reduce the size and rage of forest fires is by decreasing the amount of flammable material in forests. This can be achieved using autonomous Unmanned Ground Vehicles (UGVs) specialized in vegetation cutting and equipped with Artificial Intelligence (AI) algorithms to identify and differentiate between vegetation that should be preserved and material that should be removed as potential fire fuel. In this paper, an innovative study of forest vegetation detection, classification and 3D localization using ground vehicles’ RGB and depth images is presented to support autonomous forest cleaning operations to prevent fires. The presented work, which is a continuation of a previous research, presents a method for 3D objects localization in the real-world using Deep Learning Object Detection (DLOD) combined with an RGB-D camera. It presents and compares results of eight recent high-performance DLOD architectures, YOLOv5, YOLOv7, YOLOv8, YOLO-NAS, YOLOv9, YOLOv10, YOLO11 and YOLOv12, to detect and classify forest vegetation in five classes: “Grass”, “Live vegetation”, “Cut vegetation”, “Dead vegetation”, and “Tree-trunk”. For the training of the DLOD models, our custom dataset acquired in dense forests in Portugal is used. A methodology that combines the best DLOD trained for vegetation detection and classification and an RGB-D camera for the 3D localization of the classified detected objects in the real-world. The presented methods are employed in an Unmanned Ground Vehicle (UGV) to localize forest vegetation that needs to be thinned for fire prevention purposes. A key challenge for autonomous forest vegetation cleaning is the reliable discrimination of objects that need to be identified to reach the goal of fire prevention using autonomous unmanned ground vehicles in dense forests. With the obtained results, forest vegetation is precisely detected, classified and localized using the DL models and the localization method presented. Also, the fastest DLOD architecture to train is YOLOv5, and the fastest to infer are YOLOv7 and YOLOv12. The innovation presented is the detection, classification, and 3D localization of the vegetation using DLOD architectures, in real-time, with a localization error of the real-world object in width, height and depth under 21.4, 20.7 and 11%, respectively, using only a depth camera and a processing unit. The 3D localized objects are defined as parallelepiped geometrical shapes. The methodology for vegetation detection, classification and localization presented in this paper is highly suitable for future autonomous forest vegetation cleansing, specialized using unmanned ground vehicles. Full article

To achieve the resource utilization of iron tailings sand and improve the skid resistance of asphalt pavement, this study takes asphalt mixtures with different contents of iron tailings sand replacing partial fine aggregates as research objects. Through accelerated wear tests, the skid resistance performance was systematically evaluated under the coupled effects of iron tailings sand content, ambient temperature and wear cycles. The variation laws of the British Pendulum Number (BPN) and Mean Texture Depth (MTD) of the mixtures were investigated, and the mechanism and influence characteristics of various factors on skid resistance were further interpreted in combination with correlation heatmap analysis. The results show that the mixture with 60% iron tailings sand content maintains relatively high initial and final attenuation values of both BPN and MTD, which can effectively delay the degradation of skid resistance under long-term wear, thus representing the preferred content for engineering applications. Temperature is the core environmental factor affecting skid resistance: high temperature accelerates performance degradation, while the mixtures exhibit more stable skid resistance under medium- and low-temperature conditions. The coupling of high iron tailings content and high temperature produces adverse interaction effects, leading to performance differentiation. The relevant quantitative analysis and fitting models enable the long-term prediction of skid resistance, providing support for pavement maintenance decision making. Full article

The deformation of surrounding soil primarily governs the behavior of underground structures. Consequently, variations in their external geometry significantly affect their overall seismic response. Moreover, large soil deformations and structural uplift caused by liquefaction severely threaten their seismic safety. While most previous studies have focused on conventional rectangular subway stations, the seismic performance of novel varying-span structures remains largely unexplored. In this study, nonlinear dynamic time-history analyses are conducted to investigate the soil–structure interaction (SSI) of large unequal-span subway stations in liquefiable sites. Furthermore, the seismic responses of both the structure and the surrounding soil are systematically evaluated under various burial depths of the liquefiable layer. Finally, a U-shaped foundation reinforcement method is proposed to mitigate structural uplift. The results show that unequal-span structures suppress liquefaction in lateral soil, whereas significant liquefaction occurs beneath the base slab and cantilevered middle slabs. The burial depth of the liquefiable layer has a negligible effect on the liquefaction state directly under the center span. Regarding structural response, global uplift follows a spatial pattern that peaks at the center span and gradually attenuates laterally. Although the proposed U-shaped reinforcement effectively reduces both total and differential uplift, it does not fundamentally change the underlying liquefaction mechanism. Specifically, reinforcing the soil under cantilevered sections minimizes differential uplift while enhancing the overall economic efficiency of the seismic design. These findings provide a scientific basis for optimizing the seismic resilience of complex underground structures, contributing to the development of resource-efficient and disaster-resilient urban underground infrastructure in liquefaction-prone regions. Full article

The combined effects of organic pollutants and vertical soil gradients on microbial community assembly in long-term contaminated sites remain insufficiently understood. In this study, high-throughput sequencing was employed to characterize prokaryotic communities across depth-resolved soil profiles at a contaminated site in Tianjin, China. Microbial diversity, taxonomic composition, and predicted functional traits varied significantly with soil depth and pollutant distribution. Surface soils exhibited higher richness and diversity, with Shannon, Sobs, and PD indices decreasing with depth (p = 0.020, p = 0.002, and p < 0.001, respectively). Redundancy analysis showed that the first two axes explained 89.91% of the total variance, indicating strong associations between microbial community structure and environmental variables. Community differentiation was related to pollutant type, with aromatic hydrocarbons more strongly linked to surface assemblages and chlorinated compounds associated with deeper horizons. Although the overall abundance of predicted metabolic genes decreased with depth, the distribution of major functional categories, including pathways related to organic matter degradation, remained comparatively stable. Co-occurrence network analysis revealed a progressive decline in network connectivity and complexity along the vertical gradient, with the number of edges decreasing from 853 (L1) to 447 (L3) and average degree decreasing from 16.404 to 9.122. These findings highlight depth-related environmental filtering as a key mechanism structuring microbial communities under long-term organic contamination and provide a scientific basis for optimizing depth-specific in situ bioremediation strategies, such as targeting aromatic hydrocarbon degradation in surface soils and chlorinated compound remediation in deeper layers. Full article