Explore the vast range of titles available.

Background The human brain is a dynamic neural system with time-varying functional connectivity (FC) strengths between brain regions. Evidence indicates that adolescents with major depressive disorder (MDD) exhibit decreased average FC strength in cognitive tasks. Nevertheless, research focused on dynamic FC analysis in this population remains limited. This study aims to identify cognitive task-related dynamic FC features as valuable biomarkers to characterize clinical symptoms in adolescents with MDD. Methods A total of 83 adolescents with MDD and 78 age/sex-matched healthy controls (HCs) were recruited. We utilized functional near-infrared spectroscopy (fNIRS) to record brain functional data from participants while they performed the verbal fluency task (VFT). An analytical framework for fNIRS data was proposed, in which the average FC strength values over the entire VFT duration and the principal components (PCs) of dynamic (time-varying) FC strength values were extracted as static and dynamic FC features, respectively. A random forest model was built to distinguish adolescents with MDD from HCs. Statistical analyses of the FC features were conducted to identify between-group differences, as well as their relationships with clinical symptoms in adolescents with MDD. Results The random forest model achieved an accuracy of 86.32% (95% confidence interval: 83.75%-89.38%) for distinguishing adolescents with MDD from HCs. Significant between-group differences emerged in several FC features (false discovery rate-corrected q  < 0.05). For adolescents with MDD, the average FC strength value in the right dorsolateral prefrontal cortex (DLPFC) ~ right medial prefrontal cortex (mPFC) pathway was a significant predictor of depressive and anxious symptoms; the 3rd PC of dynamic FC strength values in the left DLPFC ~ left temporal lobe (TL) pathway and the 5th PC of dynamic FC strength values in the right mPFC ~ right TL pathway were significant predictors of anhedonic symptoms. Conclusions VFT-related static and dynamic FC features in specific brain pathways are potential biomarkers for characterizing clinical symptoms in adolescents with MDD. The developed random forest model holds promise as a diagnostic tool for MDD in adolescents. Clinical trial number Not applicable.

Expression of CAU1 (encoding a histone methylase) decreases under drought, leading to de-repression of the NAC transcription factor ANAC055 and its genetically downstream proline synthetase gene P5CS1, and this results in proline accumulation and a consequent increase in drought tolerance. Abstract Proline plays a crucial role in the drought stress response in plants. However, there are still gaps in our knowledge about the molecular mechanisms that regulate proline metabolism under drought stress. Here, we report that the histone methylase encoded by CAU1, which is genetically upstream of P5CS1 (encoding the proline biosynthetic enzyme Δ1-pyrroline-5-carboxylate synthetase 1), plays a crucial role in proline-mediated drought tolerance. We determined that the transcript level of CAU1 decreased while that of ANAC055 (encoding a transcription factor) increased in wild-type Arabidopsis under drought stress. Further analyses showed that CAU1 bound to the promoter of ANAC055 and suppressed its expression via H4R3sme2-type histone methylation in the promoter region. Thus, under drought stress, a decreased level of CAU1 led to an increased transcript level of ANAC055, which induced the expression of P5CS1 and increased proline level independently of CAS. Drought tolerance and the level of proline were found to be decreased in the cau1 anac055 double-mutant, while proline supplementation restored drought sensitivity in the anac055 mutant. Our results reveal the details of a novel pathway leading to drought tolerance mediated by CAU1.

During leaf development, the formation of dorsal-ventral and proximal-distal axes is central to leaf morphogenesis. To investigate the genetic basis of dorsoventrality and proximodistality in the leaf, we screened for mutants of Arabidopsis thaliana (L.) Heynh. with defects in leaf morphogenesis. We describe here the phenotypic analysis of three mutant alleles that we have isolated. These mutants show varying degrees of abnormality including dwarfism, broad leaf lamina, and aberrant floral organs and fruits. Genetic analysis revealed that these mutations are alleles of the previously isolated mutant asymmetric leaves1 (as1). In addition to the leaf phenotypes described previously, these alleles display other phenotypes that were not observed. These include: (i) some rosette leaves with petiole growth underneath the leaf lamina; (ii) leaf vein branching in the petiole; and (iii) a leaf lamina with an epidermis similar to that on the petiole. The mutant phenotypes suggest that the ASYMMETRIC LEAVES1 (AS1) gene is involved in the control of cell differentiation in leaves. As the first step in determining a molecular function for AS1, we have identified the AS1 gene using map-based cloning. The AS1 gene encodes a MYB-domain protein that is homologous to the Antirrhinum PHANTASTICA (PHAN) and maize ROUGH SHEATH2 (RS2) genes. AS1 is expressed nearly ubiquitously, consistent with the pleiotropic mutant phenotypes. High levels of AS1 expression were found in tissues with highly proliferative cells, which further suggests a role in cell division and early cell differentiation.

Introduction: Serum platelet-activating factor (PAF) was proven to be associated with gestational hypertension. However, the predictive value of serum PAF at early pregnancy for the occurrence and outcomes of hypertensive disorders complicating pregnancy (HDCP) remained unclear. Methods: The demographic and clinical characteristics of patients were compared among the different subgroups. The serum PAF level was determined using an enzyme-linked immunosorbent assay. The predictive value of serum PAF for the occurrence and outcomes of HDCP was evaluated using receiver operating characteristic curve analysis. The correlation of serum PAF with blood pressure was assessed using Spearman analysis. Results: Both systolic blood pressure and diastolic blood pressure were significantly higher in HDCP patients, as well as the serum levels of TNF-α and IL-1β at diagnosis/enrollment, while serum levels of IL-10 showed the opposite trend. Serum PAF levels were significantly higher in patients with HDCP compared to normal pregnant women. Furthermore, serum PAF levels were higher in HDCP patients with mild preeclampsia compared to those with gestational hypertension and even more elevated in HDCP patients with severe preeclampsia at the early pregnancy stage and at diagnosis. In HDCP patients, increased serum PAF levels at early pregnancy and at diagnosis were associated with poor outcomes. Additionally, serum PAF levels could predict the occurrence of HDCP and poor outcomes. Conclusion: Serum PAF from HDCP patients at both the early pregnancy and diagnosis stages could effectively predict the occurrence and outcome of HDCP.

Sweet corn has high economic value and is consumed directly, requiring strict environmental and management conditions. However, weed infestation during growth seriously affects yield and quality, while conventional chemical weed control may compromise product safety. Laser weeding offers an effective alternative, with precise weed detection and localization as its core requirement. This study proposes YOLO-GFD, a lightweight weed detection algorithm for sweet corn fields. Compared with the original model, YOLO-GFD increased mAP@0.5 by 10.61 percentage points, reduced floating-point operations by 0.6 percentage points, and achieved an average precision of 95.77%. Field trials further showed a real-time weed detection rate of 93.1% and a corn seedling misdetection rate of 1.1%, indicating strong practical applicability. In addition, weed control experiments using 110 W near-infrared and blue lasers under different power levels and irradiation durations identified suitable laser parameters for field laser weeding. Overall, YOLO-GFD meets the real-time accuracy requirements of autonomous laser weeding and provides a reliable basis for visual recognition and laser parameter optimization in sweet corn production.

Since electrostatic self-assembly carbon nanotubes–carbon black (CNTs–CB) composite fillers have good electrical conductivity and an easy dispersion process, they were incorporated into epoxy matrix to fabricate the CNTs–CB/epoxy nanocomposites. The mechanical properties, electrical conductivity, piezoresistivity, as well as microstructure characterization of the CNTs–CB/epoxy nanocomposites were experimentally investigated. The piezoresistive mechanisms of the CNTs–CB/epoxy nanocomposites were also established based on tunneling conduction and contacting conduction. The significant improvements in compressive yielding strength and elastic modulus of the nanocomposites could be attributed to the stable interfacial interaction. A moderate percolation threshold was obtained at 0.41 vol% for the CNTs–CB/epoxy nanocomposites in comparison with that of the nanocomposites filled with only CNTs or CB particles. In monotonic compressive loading, the CNTs-CB/epoxy nanocomposites exhibited highly sensitive and remarkably non-monotonic piezoresistive responses, which could be divided into three stages and showed dependence on the distinct evolution of hybrid conductive networks under compression. Moreover, the experimental results of cyclic loadings confirmed the stability, repeatability, and recoverability in piezoresistive responses of the nanocomposites. Overall, the highly sensitive and steadily piezoresistive responses demonstrate that the CNTs–CB/epoxy nanocomposites are attractive to be used as compressive strain sensors for structural health monitoring in civil infrastructures.

The traditional detection of blueberry maturity relies on human experience, which is inefficient and highly subjective. Although deep learning methods have improved accuracy, they require large models and complex computations, making real-time deployment on resource-constrained edge devices difficult. To address these issues, a GLL-YOLO method based on the YOLOv8 network is proposed to deal with problems such as fruit occlusion and complex backgrounds in mature blueberry detection. This approach utilizes the GhostNetV2 network as the backbone. The LIMC module is suggested to substitute the original C2f module. Meanwhile, a Lightweight Shared Convolution Detection Head (LSCD) module is designed to build the GLL-YOLO model. This model can accurately detect blueberries at three different maturity stages: unripe, semi-ripe, and ripe. It significantly reduces the number of model parameters and floating-point operations while maintaining high accuracy. Experimental results show that GLL-YOLO outperforms the original YOLOv8 model in terms of accuracy, with mAP improvements of 4.29%, 1.67%, and 1.39% for unripe, semi-ripe, and ripe blueberries, reaching 94.51%, 91.72%, and 93.32%, respectively. Compared to the original model, GLL-YOLO improved the accuracy, recall rate, and mAP by 2.3%, 5.9%, and 1%, respectively. Meanwhile, GLL-YOLO reduces parameters, FLOPs, and model size by 50%, 39%, and 46.7%, respectively, while maintaining accuracy. This method has the advantages of a small model size, high accuracy, and good detection performance, providing reliable support for intelligent blueberry harvesting.

In order to investigate the purification process and antioxidant activity of triterpenic acids from blackened jujube, the macroporous resin was applied to purify the crude extract from blackened jujube. The adsorption and desorption characterizations of five different macroporous adsorption resins (AB‐8, D‐101, X‐5, HPD‐100, S‐8) for triterpenic acids of blackened jujube were compared, the optimum purification resins were screened, and the purification parameters were optimized. The antioxidant activity of crude extracts and purified products from blackened jujube was analyzed. The results showed that D‐101 resin possessed the best effect on the purification of blackened jujube triterpenic acids. The optimum purification parameters were as follows: sample concentration 25.5 μg/ml, 130 ml of the sample volume was with a flow rate of 2.0 ml/min, eluted with 95% ethanol, and speed flow was 1.0 ml/min. The purity of triterpenic acids was increased by 2.49 times after purification with a recovery rate of (78.58 ± 0.67)%. Furthermore, the IC50 values of hydroxyl radical scavenging capacity from triterpenic acids crude extract and purified substances were 0.900 and 0.850 mg/ml, respectively, and the IC50 values of superoxide anion radical were 0.745 and 0.594 mg/ml, respectively, indicating that the antioxidative capacity of the purified product was stronger than the crude extract. The purified triterpenic acids (PTA) groups at different doses had excellent protective effects on H2O2‐induced damage HUVEC cells. Results have revealed that triterpenic acids of blackened jujube have good antioxidant function and utilization and development prospects. In order to investigate the purification process and antioxidant activity of triterpenic acids from blackened jujube, the macroporous resin was applied to purify the crude extract from blackened jujube.

Alzheimer’s Disease (AD) is a neuroinflammatory disease characterized partly by the inability to clear, and subsequent build-up, of amyloid-beta (Aβ). AD has a bi-directional relationship with circadian disruption (CD) with sleep disturbances starting years before disease onset. However, the molecular mechanism underlying the relationship of CD and AD has not been elucidated. Myeloid-based phagocytosis, a key component in the metabolism of Aβ, is circadianly-regulated, presenting a potential link between CD and AD. In this work, we revealed that the phagocytosis of Aβ42 undergoes a daily circadian oscillation. We found the circadian timing of global heparan sulfate proteoglycan (HSPG) biosynthesis was the molecular timer for the clock-controlled phagocytosis of Aβ and that both HSPG binding and aggregation may play a role in this oscillation. These data highlight that circadian regulation in immune cells may play a role in the intricate relationship between the circadian clock and AD.

Background The morning glories (Convolvulaceae) are distributed worldwide and produce economically important crops, medicinal herbs, and ornamentals. Members of this family are diverse in morphological characteristics and trophic modes, including the leafless parasitic Cuscuta (dodders). Organelle genomes were generally used for studying plant phylogeny and genomic variations. Notably, plastomes in parasitic plants always show non-canonical features, such as reduced size and accelerated rates. However, few organelle genomes of this group have been sequenced, hindering our understanding of their evolution, and dodder mitogenome in particular. Results We assembled 22 new mitogenomes and 12 new plastomes in Convolvulaceae. Alongside previously known ones, we totally analyzed organelle genomes of 23 species in the family. Our sampling includes 16 leafy autotrophic species and 7 leafless parasitic dodders, covering 8 of the 12 tribes. Both the plastid and mitochondrial genomes of these plants have encountered variations that were rarely observed in other angiosperms. All of the plastomes possessed atypical IR boundaries. Besides the gene and IR losses in dodders, some leafy species also showed gene and intron losses, duplications, structural variations, and insertions of foreign DNAs. The phylogeny reconstructed by plastid protein coding sequences confirmed the previous relationship of the tribes. However, the monophyly of ‘Merremieae’ and the sister group of Cuscuta remained uncertain. The mitogenome was significantly inflated in Cuscuta japonica , which has exceeded over 800 kb and integrated massive DNAs from other species. In other dodders, mitogenomes were maintained in small size, revealing divergent evolutionary strategies. Mutations unique to plants were detected in the mitochondrial gene ccmFc , which has broken into three fragments through gene fission and splicing shift. The unusual changes likely initially happened to the common ancestor of the family and were caused by a foreign insertion from rosids followed by double-strand breaks and imprecise DNA repairs. The coding regions of ccmFc expanded at both sides after the fission, which may have altered the protein structure. Conclusions Our family-scale analyses uncovered unusual scenarios for both organelle genomes in Convolvulaceae, especially in parasitic plants. The data provided valuable genetic resources for studying the evolution of Convolvulaceae and plant parasitism.