Search Results (29,578)

Early plant leaf disease detection and timely control is important for agricultural yield and stability. Yet, it is difficult for manual labor to monitor the health of the plant leaf 24 h a day. Existing detection approach cannot meet the demands of texture enhancement features. Therefore, this paper proposes a new detection approach which undergoes three-layer transformations: convolutional layer, attention mechanism layer and loss function layer. Firstly, ADown is used to extract fine-grained texture features from suspected leaves to reduce computational load. Secondly, Gabor texture enhancement is proposed to extract and enhance the contour and the directional texture of suspected areas using multi-directional filtering, followed by a combination Transformer to enhance the global context modeling capability. Thirdly, a dynamic boundary loss function (DBL) is employed to dynamically adjust the probability distribution of bounding box regression through adaptive temperature coefficient and information entropy, thereby improving the positioning accuracy of the detection box. The experiments show that ATD-Net achieved an average accuracy of 87.42% (mAP50) and an accuracy of 85.96%, with a computational complexity of 6.5 GFLOPs. The visualization results and ablation experiments show that the collaborative work of the proposed modules significantly improves the detection robustness in complex backgrounds, early diseases, and small target scenes. Compared to the original model, ATD-Net achieves a performance improvement of 1.1% at mAP50 and a speed increase of 17.7%. The model size remains almost unchanged, at 5.2 MB. It is an efficient and promising solution for future real-time disease recognition in complex agricultural environments. Full article

ERF/AP2 is a family of transcription factors that plays a broad role in plant growth and development and in responses to various environmental stresses. In our previous studies, we found that the transcription factor LoERF4 indirectly induces the breaking of dormancy in lily bulbs by regulating its downstream gene, LoXTH23. To further investigate the function of LoERF4, we overexpressed it in Arabidopsis thaliana. Paraffin section analysis revealed that root cells in OE-LoERF4 transgenic Arabidopsis thaliana lines exhibited significantly longer average cell lengths compared to the wild type. In the overexpression lines, the expression of multiple modified genes, including AtXTHs and AtEXPAs was significantly upregulated, and these lines exhibited earlier lateral root emergence and a significant increase in primary root length. Under 100 mM sodium chloride treatment, the overexpression lines exhibited significantly higher numbers of lateral roots, true leaves, and primary root length compared with the wild type (WT). In the OE-LoERF4 line, antioxidant enzyme (SOD, POD, CAT) activity was enhanced, oxidative damage was reduced (decreased MDA content), and root survival rate was improved (as reflected by TTC reduction). This confirms that LoERF4 may promote root development in the overexpression line by positively regulating downstream AtXTHs and AtEXPAs, while simultaneously enhancing the salt tolerance of the overexpression line. Full article

Background: Testosterone is the most abundant biologically active sex steroid in women, yet the therapeutic implications of its age-related decline remain undercharacterized. Published trials have focused predominantly on sexual function, leaving gaps in understanding how testosterone replacement therapy (TRT) affects broader symptom domains and metabolic biomarkers in women. Objective: To investigate whether individualized, biomarker-guided TRT in women is associated with improvements across multiple symptom domains and favorable hormonal, hematologic, and cardiometabolic biomarker changes, and to examine whether symptomatic benefit varies with treatment duration. Methods: In this retrospective observational study, women (n = 332; ages 27 to 78; mean 45.7 ± 7.1 years) receiving TRT as part of routine clinical care through a telehealth-based platform completed a structured survey at a single post-treatment time point assessing eight symptom domains: energy/fatigue, memory, concentration, irritability, depression, anhedonia, sexual interest, and relationship satisfaction. Respondents were stratified by TRT duration (1 month to >12 months) and a subset (n = 120) underwent paired biomarker assessment at baseline and 12 weeks for total testosterone, free testosterone, SHBG, hemoglobin, and triglycerides. Results: Improvement was reported across all eight domains, with energy/fatigue showing the strongest response (84.3% improved). Depression, irritability, anhedonia, and sexual interest each exceeded 65% improvement. Cognitive domains showed a delayed trajectory, with meaningful gains emerging at 4 to 6 months. Quality of life improvement was reported by 89.7%, with significant improvement rising from 5.4% at 1 month to 51.5% at greater than 12 months. Energy/fatigue (64.2%) and mood (49.7%) ranked above sexual desire (41.3%) as self-identified areas of greatest benefit. All five biomarkers changed favorably: total testosterone +151.8% (d = 3.60), free testosterone +216.7% (d = 3.01), hemoglobin +5.5% (d = 2.03), SHBG −13.3% (d = 1.57), and triglycerides −12.6% (d = 1.28). Conclusions: Individualized TRT in women was associated with broad symptomatic improvement spanning energy/fatigue, depression, irritability, anhedonia, cognitive function, and sexual interest, with duration-dependent gains and favorable biomarker changes across all five markers assessed. These findings suggest that the value of testosterone in women extends beyond sexual function and supports the need for larger controlled trials with extended follow-up. Full article

The incorporation of the Internet of Things (IoT) in indoor agricultural systems has become an essential tool for monitoring and analyzing environmental variables, contributing to more efficient decision-making. This article presents the design and implementation of an IoT-based digital agriculture system applied to a Plant Factory (PF) for hydroponic vegetable cultivation using the Nutrient Film Technique (NFT). The objective of this study was to develop a system capable of effectively monitoring and controlling the environmental variables that directly influence the microclimate of a closed agricultural environment. The proposed system integrates a four-layer IoT architecture based on a MODBUS RS-485 communication bus, which allows for continuous data acquisition and the operation of multiple sensors and controlled devices. Additionally, user-oriented tools such as a human–machine interface (HMI), a web application, a mobile application and an automatic alert module were incorporated, enhancing accessibility and remote supervision. Experimental results showed stable control performance of ambient temperature (TA), relative humidity (RH), photoperiod, and photosynthetic photon flux density (PPFD), along with continuous monitoring of CO₂ concentration. A 30-day validation experiment using Swiss chard (Beta vulgaris L. var. cicla) under controlled conditions was conducted. The results showed progressive plant development, with leaf area increasing from 15.17 cm² to 690.39 cm², plant height from 7 cm to 31 cm, fresh weight from 23 g to 171 g, and the number of leaves from 9 to 20. These results support the functional validity of the proposed system as a reliable platform for environmental monitoring and control in controlled-environment agriculture. Full article

Myrtaceae is one of the largest families of flowering plants and is well known for its prolific terpene production. To investigate the genetic basis underlying this high-level terpene output, we conducted comparative genomic analyses of genes of the entire terpene biosynthetic pathways in selected Myrtaceae species and representative species from three other families within the order Myrtales. Our analyses revealed that genes encoding enzymes in the upstream terpene biosynthetic pathways are generally conserved in copy number across Myrtales. Similarly, isoprenyl diphosphate synthases, which are positioned centrally and responsible for producing the direct precursors of major terpene classes, also exhibit conserved gene numbers among these species. In contrast, substantial differences were observed in the number of terpene synthase (TPS) genes, which function downstream and directly catalyze terpene formation. Myrtaceae species possess markedly more TPS genes than species from other Myrtales families. This expansion is primarily attributable to increased gene numbers in the TPS-a, TPS-b, TPS-g, and TPS-e/f subfamilies, with the first three subfamilies largely associated with sesquiterpene and monoterpene biosynthesis. Further analyses indicate that the enlarged TPS-a and TPS-g subfamilies resulted at the origination of Myrtaceae-specific groups, whereas TPS-b exhibited Myrtaceae-specific expansion. In Eucalyptus grandis, tandem duplication makes a larger contribution to the expansion of TPS-a, TPS-b and TPS-g subfamilies than interchromosomal duplication. The majority of these TPS genes exhibit moderate to high levels of expression in leaves, consistent with their role in elevated terpene production in leaves of E. grandis. Collectively, our findings are consistent with the hypothesis that the novel terpene-producing capacity of Myrtaceae is driven primarily by Myrtaceae-specific origination and/or expansion of downstream TPS genes rather than changes in upstream pathway gene copy numbers. Full article

The latest Cretaceous saw the final diversification of dinosaurs before the K/Pg extinction. Discussions of end-Cretaceous dinosaur diversity have focused on well-sampled faunas from Laurasia; far less is known about dinosaurian faunas of the Southern Hemisphere, especially Africa. The late Maastrichtian Phosphates of Morocco provide a rare window into African dinosaur diversity. Abelisaurids, lambeosaurines, and titanosaurian sauropods are known. However, no diagnostic titanosaur remains have been recovered, leaving the affinities of these sauropods unclear. We describe Phosphatotitan khouribgaensis gen. et sp. nov., a new titanosaur from the Maastrichtian of Sidi Chennane, Khouribga Province. Phosphatotitan is represented by dorsal, sacral, and caudal vertebrae, and the pelvis. The new species differs from titanosaurs described from the Cretaceous of Africa and Europe but resembles South American Lognkosauria, and especially Patagotitan, in having short dorsal and caudal centra, expanded dorsal and caudal neural spines, and a broad pubis. Its small size relative to other Lognkosauria (3.5–4 tonnes) suggests a lineage selected for small size. The close relationships of Morocco’s titanosaurs and abelisaurids to South American species may reflect a wide distribution of these clades prior to the opening of the South Atlantic and the separation of Africa and South America ~100 Ma, while a complex pattern of oceanic dispersal may explain the presence of distinct saltasauroid lineages worldwide. The latest Cretaceous Gondwanan dinosaur faunas were highly endemic due to a combination of continental fragmentation, extinction, and dispersal, creating high endemism in southern continents and within Africa, suggesting that Maastrichtian dinosaur diversity is underestimated. Full article

Objectives: To address the difficulty of data sharing under privacy constraints and the performance degradation of conventional federated models caused by pronounced inter-client data heterogeneity in rolling bearing remaining useful life prediction, an FDG-based framework is developed for this task. Methods: The proposed framework jointly optimizes client-side feature learning and server-side aggregation. On the client side, a domain-adversarial learning mechanism together with a gradient reversal strategy is introduced to suppress domain-related information in degradation representations and enhance domain-invariant feature learning. On the server side, a distribution-aware dynamic aggregation strategy is designed to adaptively assign aggregation weights by jointly considering client predictive performance and feature distribution discrepancies, thereby mitigating the adverse effects of non-IID data on model aggregation. Conclusions: A federated training scenario is constructed using the PHM 2012 and XJTU-SY datasets, which involve two different bearing types. Experimental results show that, without requiring raw data to leave local clients, the proposed framework improves the accuracy and generalization capability of rolling bearing remaining useful life prediction. Full article

The Technology Acceptance Model (TAM) has been widely used to explain e-banking and digital technology adoption. Existing literature supports the robustness of its core relationships, but the magnitude of the effects varies considerably across studies, raising questions about their stability and generalizability in new contexts. Existing meta-analysis studies focus primarily on pooled effect sizes, providing limited insight into the temporal stability of relationships, their sensitivity to individual studies, and the extent to which observed heterogeneity reflects contextual variation. This study contributes by reinterpreting heterogeneity not as a problem to be reduced, but as a feature that defines the limits of generalizability. We advance the TAM literature by moving beyond average effects and rethinking empirical evidence through the joint lens of robustness, stability, and dispersion. We conduct a random-effects meta-analysis on 44 effect sizes (correlation coefficients) coming from 43 research papers indexed in Web of Science and Scopus. In addition to pooled correlations, the analysis employed cumulative meta-analysis, leave-one-out influence diagnostics, prediction intervals, and publication bias assessments to evaluate the evolution, consistency, and variability of TAM relationships across contexts. The findings show that core TAM relationships are consistently positive and stable at the aggregate level yet display substantial variation across empirical settings. While some relationships remain robust across contexts, others exhibit prediction intervals that include zero, indicating that their strength and even direction may depend on contextual conditions. As prior TAM meta-analyses have not systematically incorporated prediction intervals, this study provides new evidence to the extent to which TAM relationships generalize beyond average effects. The results further show that although TAM offers a reliable structural framework, interventions and policies based on its core relationships must be context-sensitive, because relying on average effects alone may lead to ineffective or inconsistent adoption outcomes. Full article

Chimonobambusa utilis is a dominant bamboo species in China, yet its leaves remain an underutilized resource despite their significant bioactive potential. To elucidate the metabolic reprogramming of Ch. utilis leaves across an elevational gradient and its link to antioxidant phenotypes, we integrated widely targeted metabolomics with redox profiling of leaves collected from 1150, 1600, and 2000 m in the Qingba Mountains. The mid-elevation (1600 m) group exhibited the most robust antioxidant capacity and the highest total flavonoid content. Metabolomic analysis identified 3113 metabolites across 13 classes, with flavonoids (604 compounds, 22.7% of total abundance) emerging as the predominant secondary metabolites. Pairwise comparisons revealed 1716 differentially accumulated metabolites (DAMs). KEGG enrichment indicated that while the low-elevation (1150 m) group prioritized primary metabolism and upstream phenylpropanoid branches, the high-elevation (2000 m) group was associated with photoprotection and defense responses. In contrast, the mid-elevation environment optimized the flux toward flavonoid biosynthesis while maintaining steady metabolic supply. HPLC quantification further confirmed that key markers—vitexin, hyperoside, orientin, and luteoloside—peaked at 1600 m. Correlation analysis between 423 differential flavonoids and antioxidant indices demonstrated that distinct radical-scavenging activities are driven by specific flavonoid structural motifs. Overall, altitude-driven metabolic remodeling, characterized by a mid-elevation advantage for flavonoid accumulation, dictates the antioxidant plasticity of Ch. utilis leaves. Full article

Walnut is an important nut with a rich nutritional profile and associated health benefits for the human body. B-box (BBX) proteins containing one or two BBX motifs play pivotal roles in plant growth and developmental processes; nevertheless, the functions of JrBBXs in walnut anthocyanin biosynthesis remain inadequately understood. In this study, 39 JrBBXs in red walnut ‘RW-1’ were identified, with phylogenetic analysis suggesting that they were divided into six classes based on the distribution of conserved domains and unevenly distributed on 14 chromosomes. Promoter analysis demonstrated that JrBBX promoters possessed an abundance of light responsiveness elements, ABA responsiveness elements, MYB binding sites and MYC binding sites. The transcriptome analysis results demonstrated that eight JrBBXs were differently expressed in normal green walnut ‘Zhonglin 1’ and red walnut ‘RW-1’ seed coats. Furthermore, qRT-PCR (quantitative real-time polymerase chain reaction) analysis showed that JrBBX3 exhibited lower expression during seed coat development in ‘RW-1’. Y1H (Yeast One-Hybrid) and LUC (dual-luciferase reporter) assays revealed that JrBBX3 directly inhibited the expression of JrUFGT5, considered a key anthocyanin biosynthesis structural gene in research. Subcellular localization analysis indicated both cytoplasmic and nuclear localization of JrBBX3. Transient overexpression of JrBBX3 in walnut leaves resulted in reduced JrUFGT5 expression and anthocyanin accumulation. Collectively, these findings revealed the negative regulation of JrBBX3 in red walnut anthocyanin biosynthesis, and provided a basis to further study the anthocyanin biosynthesis mechanism of red walnut. Full article

Light and drought antagonistically regulate stomatal movement, yet the mechanisms for integrating these conflicting signals remain unclear. In this study, the stomatal aperture and photosynthetic parameters under red light (RL), blue light (BL), and white light in different water regimes were evaluated. Transcriptome analysis was conducted during a 0–6 h period of BL exposure, with or without drought, to explore the molecular mechanisms underlying BL and drought-mediated stomatal movement. Under non-drought conditions, BL significantly enhanced stomatal conductance, transpiration rate, and stomatal aperture. After drought stress, BL-treated seedlings exhibited the greatest reductions in these indicators. Transcriptomic analysis revealed that both BL-responsive genes and drought-responsive genes were significantly enriched in overlapping pathways related to plant hormone signal transduction, and biological processes of water/fluid transport. Among these, the aquaporin gene CsPIP2;3 was identified as a core node in the crosstalk between BL and drought signals, and a potential key regulator of stomatal movement. Tissue-specific expression analysis showed its highest expression in mature leaves; GUS staining further confirmed its expression in guard cells and vascular bundles, while subcellular localization verified the plasma membrane localization of its encoded protein. The transcriptomic data provide novel insights into the mechanisms underlying stomatal movement regulated by BL and drought. Full article

The selective harvesting of leaves from flexible-stem crops remains a major challenge in agricultural mechanization due to stem compliance, heterogeneous petiole strength, and unstable tool–crop interaction. To address these issues, a bio-inspired ring-cutting and compliant clamping harvesting mechanism is proposed for low-damage selective harvesting under complex terrain conditions. Inspired by the adaptive attachment behavior of octopus suckers, a flexible compliant clamping interface combined with a ring-shaped sliding cutting structure was developed to stabilize flexible stems during harvesting. A coupled kinematic–force analytical model was established to characterize the interaction between tool motion, stem feeding, and cutting behavior. In addition, a sliding cutting mechanics model was introduced to analyze the relationship between cutting force and sliding angle. Dynamic multibody simulations were performed using ADAMS to verify the motion feasibility and trajectory stability of the proposed harvesting mechanism. Bench-scale experiments were conducted using mulberry branches as a representative flexible-stem crop, and a response surface methodology based on a Box–Behnken experimental design was applied to optimize key operational parameters. The optimal parameter combination included a chain linear speed of 0.18 m·s⁻¹, a feeding speed of 0.30 m·s⁻¹, and an installation angle of 36°. Under these conditions, the missed harvest rate was reduced to 9.2–9.8%, demonstrating improved harvesting stability compared with conventional rigid cutting mechanisms. The results indicate that integrating compliant stabilization with sliding cutting provides an effective engineering strategy for selective harvesting of flexible-stem crops in complex agricultural environments. Full article

Nicotiana tabacum is a classic model for studying pollination on wet stigma. Reactive oxygen species (ROS) and nitric oxide (NO) production are closely related to stigma fertility and depend on the activity of redox enzymes. This study is devoted to the comparison of two tobacco lines differing in physiological parameters and reproductive success. Samsun is a tobacco variety that is widely used in research due to its low demands; however, the reproductive potential of the variety is quite low. Based on this variety, a new line was obtained, called “Fortune”; the plants are externally similar to the Samsun plants, but are more successful in reproduction. The total production of ROS + NO on the stigmas of the Fortune plants is lower than the Samsun plants, but their ROS production is higher, and the main decrease occurs due to NO. Superoxide dismutase activity differs between the two lines at all stages of stigma development except the fertile stage, while ascorbate peroxidase activity is higher in “Fortune” at all stages. Additional isoforms of ascorbate peroxidase are detected in developing stigmas of the Fortune variety. Presumably due to differences in redox metabolism, Fortune plants produce more seeds, their fruit are larger, and their leaves and flowers are also larger compared to the Samsun plants. In this study, we investigated both redox homeostasis parameters and plant productivity using tobacco as the model plant and suggested that there is a correlation between these groups of parameters, which may be important for breeding highly productive plants. Full article

Student dropout represents a significant challenge for the sustainability of higher education systems, particularly in regional public contexts where academic trajectories are heavily shaped by socioeconomic conditions. While prior research typically examines whether students consider leaving, less attention has been given to how they prioritize the factors that may lead to dropout. This study analyzes students’ perceived factors associated with dropout intention at a regional campus of the Universidad Nacional de Colombia using survey data from 287 valid constant-sum responses. The empirical approach combines descriptive statistics, compositional analysis, and $k-$means clustering on centered log-ratio coordinates. On average, students assigned the greatest weight to socioeconomic factors (42.4 points), followed by personal (32.9) and academic factors (24.6), a pattern reinforced by the compositional center (51.1%, 31.6%, and 17.3%, respectively). Students living in rented housing placed greater emphasis on socioeconomic constraints, while differences across other characteristics were modest. Cluster analysis identified one dominant mixed profile (81.2% of the sample) and several smaller edge profiles, none primarily defined by academic factors alone. These findings indicate that enrolled students perceive potential dropout as a multidimensional set of pressures rather than a single dominant cause, highlighting the need for integrated financial, psychosocial, pedagogical, and academic support strategies to strengthen educational sustainability. Full article

Systematic frameworks for describing podcast design remain scarce. Previous research on listening motives often treats podcasts as a monolithic category or focuses on specific genres, leaving open how motives vary across different design types. This dual-perspective investigation examines two questions: Which primary design types characterize German-language podcasts, and how are listening motives related to these design types? Using a multi-method qualitative approach, 30 podcasts were analyzed through iterative listening and 16 expert interviews to develop a typology of design. Additionally, 29 semi-structured listener interviews were examined via qualitative content analysis to identify usage motives and their associations with design types. The analysis identified three podcast design types—story, talk, and factual (STF)—each characterized by distinct structural and aesthetic features. The analysis further suggested that factual design types were primarily associated with cognitive motives, talk design types with social motives, and story design types with affective motives. The resulting STF model is a relevant framework for both academic research and practical applications in podcast production. The results further suggest that usage motives may be linked to these design types and thus indicates how podcast form and audience needs and gratifications may be interdependent. Full article