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Emotion recognition based on multi-channel electroencephalograph (EEG) signals is becoming increasingly attractive. However, the conventional methods ignore the spatial characteristics of EEG signals, which also contain salient information related to emotion states. In this paper, a deep learning framework based on a multiband feature matrix (MFM) and a capsule network (CapsNet) is proposed. In the framework, the frequency domain, spatial characteristics, and frequency band characteristics of the multi-channel EEG signals are combined to construct the MFM. Then, the CapsNet model is introduced to recognize emotion states according to the input MFM. Experiments conducted on the dataset for emotion analysis using EEG, physiological, and video signals (DEAP) indicate that the proposed method outperforms most of the common models. The experimental results demonstrate that the three characteristics contained in the MFM were complementary and the capsule network was more suitable for mining and utilizing the three correlation characteristics.

The process of splicing messenger RNA to remove introns plays a central role in creating genes and gene variants. We describe Splam, a novel method for predicting splice junctions in DNA using deep residual convolutional neural networks. Unlike previous models, Splam looks at a 400-base-pair window flanking each splice site, reflecting the biological splicing process that relies primarily on signals within this window. Splam also trains on donor and acceptor pairs together, mirroring how the splicing machinery recognizes both ends of each intron. Compared to SpliceAI, Splam is consistently more accurate, achieving 96% accuracy in predicting human splice junctions.

Bladder cancer (BCa) is one of the most prevalent malignancies globally. Previous study has reported the inhibitory effect of methyltransferase-like 14 (METTL14) on BCa tumorigenesis, but its role in the cell migration, invasion and epithelial-mesenchymal transition (EMT) in BCa remains unknown. Quantitative real-time PCR (RT-qPCR) and western blot were applied to measure RNA and protein expression respectively. Cell migration, invasion and EMT were evaluated by wound healing, Transwell, and immunofluorescence (IF) assays as well as western blot of EMT-related proteins. In vivo experiments were performed to analyze metastasis of BCa. Mechanism investigation was also conducted to study METTL14-mediated regulation of BCa progression. METTL14 overexpression prohibits BCa cell migration, invasion in vitro and tumor metastasis in vivo. METTL14 stabilizes USP38 mRNA by inducing N6-methyladenosine (m6A) modification and enhances USP38 mRNA stability in YTHDF2-dependent manner. METTL14 represses BCa cell migration, invasion and EMT via USP38. Additionally, miR-3165 inhibits METTL14 expression to promote BCa progression. Our study demonstrated that METTL14 suppresses BCa progression and forms a feedback loop with USP38. In addition, miR-3165 down-regulates METTL14 expression to promote BCa progression. The findings may provide novel insight into the underlying mechanism of METTL14 in BCa progression.

CHESS 3 represents an improved human gene catalog based on nearly 10,000 RNA-seq experiments across 54 body sites. It significantly improves current genome annotation by integrating the latest reference data and algorithms, machine learning techniques for noise filtering, and new protein structure prediction methods. CHESS 3 contains 41,356 genes, including 19,839 protein-coding genes and 158,377 transcripts, with 14,863 protein-coding transcripts not in other catalogs. It includes all MANE transcripts and at least one transcript for most RefSeq and GENCODE genes. On the CHM13 human genome, the CHESS 3 catalog contains an additional 129 protein-coding genes. CHESS 3 is available at http://ccb.jhu.edu/chess .

Ingested environmental micro- and nanoplastics (MNPs) may represent an emerging systemic health concern. Although toxicological research has mainly focused on the gastrointestinal tract, increasing evidence suggests that the highly vascularized bone marrow may also be a relevant site for MNP accumulation. This narrative review proposes a “gut-immune-bone” axis linking intestinal barrier disruption, systemic translocation, and potential deposition within the bone marrow niche. Current experimental evidence, together with limited human detection data, suggests that MNPs may disturb osteoimmunological homeostasis by impairing osteogenesis and promoting macrophage-associated osteoclastogenesis, thereby favoring bone remodeling imbalance. We summarize potential mechanisms, including oxidative stress, nuclear factor-κB (NF-κB) signaling, NOD-like receptor protein 3 (NLRP3) inflammasome activation, gut microbiota dysbiosis, endocrine disruption, and MNP-heavy metal co-exposure. We also discuss susceptible pediatric and geriatric populations and highlight the need to incorporate osteoimmunological endpoints into future MNP risk assessment.

Maternal immune activation (MIA) disrupts the central innate immune system during a critical neurodevelopmental period. Microglia are primary innate immune cells in the brain although their direct influence on the MIA phenotype is largely unknown. Here we show that MIA alters microglial gene expression with upregulation of cellular protrusion/neuritogenic pathways, concurrently causing repetitive behavior, social deficits, and synaptic dysfunction to layer V intrinsically bursting pyramidal neurons in the prefrontal cortex of mice. MIA increases plastic dendritic spines of the intrinsically bursting neurons and their interaction with hyper-ramified microglia. Treating MIA offspring by colony stimulating factor 1 receptor inhibitors induces depletion and repopulation of microglia, and corrects protein expression of the newly identified MIA-associated neuritogenic molecules in microglia, which coalesces with correction of MIA-associated synaptic, neurophysiological, and behavioral abnormalities. Our study demonstrates that maternal immune insults perturb microglial phenotypes and influence neuronal functions throughout adulthood, and reveals a potent effect of colony stimulating factor 1 receptor inhibitors on the correction of MIA-associated microglial, synaptic, and neurobehavioral dysfunctions.

Objectives:To compare the efficacy of negative pressure wound therapy (NPWT) and alginate dressings on wound bed preparation prior to split thickness skin graft (STSG) surgery for patients with chronic diabetic foot ulcers (DFUs).Methods:Between September 2022 and March 2023, we completed a randomized controlled trial in Nanjing First Hospital and PLA 454 Hospital. Patients were divided into 2 groups: i) the NPWT group (with vacuum-assisted closure, n=50); ii) the control group (with alginates dressings, n=50). Once DFU wound was filled with healthy granulation tissues, STSG surgery was performed. The time to STSG surgery was regarded as the primary outcome. The survival rates of skin graft, the wound blood perfusion, the wound neutrophil extracellular traps (NETs) formation, and polarization of M1 and M2 macrophages in DFU wounds were regarded ad secondary outcomes.Results:Patients in the NPWT group had less time to STSG surgery than the control group. The patients in the NPWT group had prominently increased survival rates of skin graft, increased wound blood perfusion, and decreased NET formation in comparison with the control group. The macrophages in DFU wounds switched from M1 to M2 phenotype in the NPWT group.Conclusion:Negative pressure wound therapy is superior to conventional moist dressings in wound bed preparation prior to STSG surgery for patients with chronic DFUs.

A polyacrylamide-based film-forming agent was synthesized via free-radical copolymerization. FT-IR spectroscopy confirmed complete monomer conversion with no detectable residual unsaturation. Systematic variation of acrylamide (AM), vinyl acetate (VAc) and cellulose content revealed that an AM mass fraction of 3.7 wt%, a VAc:AM molar ratio of 1:3 and a cellulose content of 1.6 wt% yielded an emulsion of maximal colloidal stability. Under these conditions, the agent formed coherent, moisture-resistant films that effectively encapsulated sodium-bentonite pellets, indicating its potential as an efficient inhibitor for maintaining well-bore stability during drilling operations.

Nanoemulsions (NEs) are used as transdermal drug delivery systems for systematic therapeutic purposes. We hypothesized that the skin permeation profile of an NE could be modulated by incorporating it into a hydrogel containing differing proportions of thickening agent. The objectives of this study were as follows: 1) to determine the stability and skin irritability of NE gels (NGs) containing 1%, 2%, and 3% (w/w) Carbopol 934 (CP934) (termed NG1, NG2, and NG3, respectively); 2) to compare the skin permeation profiles and drug deposition patterns of the NGs; and 3) to visualize the drug delivery routes of the NGs. Terbinafine and citral were incorporated into the NGs as model drugs. Ex vivo skin permeation tests indicated that the percutaneous flux rates of terbinafine decreased in the order NE (215 μg/cm ) > NG1 (213 μg/cm ) > NG2 (123 μg/cm ) > NG3 (74.3 μg/cm ). The flux rates of citral decreased in the order NE (1,026 μg/cm ) > NG1 (1,021 μg/cm ) > NG2 (541 μg/cm ) > NG3 (353 μg/cm ). The NGs accumulated greater amounts of the drugs in the stratum corneum and less in the epidermis/dermis than did the NE ( <0.05) over a period of 12 h. Laser scanning confocal microscopy indicated that the NGs altered the main drug delivery routes from skin appendages to intercellular paths. Histological images suggested that perturbations to the skin structure, specifically the size of the epidermal intercellular spaces and the separation distance of dermal collagen bundles, could be significantly minimized by increasing the proportion of CP934. These results suggest that adjustments of the CP934 proportions can be used to modulate the skin permeation profiles of NGs for specific therapeutic purposes.

In this paper, a novel EEG emotion recognition method based on residual graph attention neural network is proposed. The method constructs a three-dimensional sparse feature matrix according to the relative position of electrode channels, and inputs it into the residual network to extract high-level abstract features containing electrode spatial position information. At the same time, the adjacency matrix representing the connection relationship of electrode channels is constructed, and the time-domain features of multi-channel EEG are modeled using graph. Then, the graph attention neural network is utilized to learn the intrinsic connection relationship between EEG channels located in different brain regions from the adjacency matrix and the constructed graph structure data. Finally, the high-level abstract features extracted from the two networks are fused to judge the emotional state. The experiment is carried out on DEAP data set. The experimental results show that the spatial domain information of electrode channels and the intrinsic connection relationship between different channels contain salient information related to emotional state, and the proposed model can effectively fuse these information to improve the performance of multi-channel EEG emotion recognition.