Search Results (1,988)

The aim of this study is to conduct a comparative assessment of the effectiveness of neural network models—U-Net, DeepLabV3+, SegNet and Mask R-CNN—for the semantic segmentation of micrographs of human mesenchymal stem cells (MSCs). A dataset of 320 cell micrographs annotated by cell biology experts was created. The models were trained using a transfer learning method based on ImageNet pre-trained weights. As a result, the U-Net model demonstrated the best segmentation accuracy according to the metrics of the Dice coefficient (0.876) and the Jaccard index (0.781). The DeepLabV3+ and Mask R-CNN models also showed high performance, although slightly lower than U-Net, while SegNet exhibited the least accurate results. The obtained data indicate that the U-Net model is the most suitable for automating the segmentation of MSC micrographs and can be recommended for use in biomedical laboratories to streamline the routine analysis of cell cultures. Full article

The Oropouche virus (OROV) is a segmented negative-sense RNA arbovirus member of the Peribunyaviridae family, associated with recurring epidemics of Oropouche fever in Central and South America. Since its identification in 1955, OROV has been responsible for outbreaks in both rural and urban areas, with transmission involving sylvatic and urban cycles. This study focuses on the characterization of an OROV isolate from a human clinical sample collected in the state of Rio de Janeiro, a non-endemic region in Brazil, highlighting ultrastructural and morphological aspects of the viral replicative cycle in Vero cells. OROV was isolated in Vero cell monolayers which, following viral inoculation, exhibited marked cytopathic effects (CPEs), mainly represented by changes in cell morphology, including membrane protrusions and vacuolization, as well as cell death. Studies by transmission electron microscopy (TEM) revealed significant ultrastructural changes, such as apoptosis, intense remodeling of membrane-bound organelles and signs of rough endoplasmic reticulum and mitochondrial stress. Additionally, the formation of specialized cytoplasmic vacuoles and intra- and extracellular vesicles emphasized trafficking and intercellular communication as essential mechanisms in OROV infection. RT-qPCR studies confirmed the production of viral progeny in high titers, corroborating the efficiency of this experimental model. These findings contribute to a better understanding of the cytopathogenic mechanisms of OROV infection and the contribution of cellular alterations in OROV morphogenesis. Full article

The CYP1B1 gene encodes a cytochrome p450 monooxygenase enzyme, and over 150 variants have been associated with a spectrum of eye diseases, including primary congenital glaucoma, anterior segment dysgenesis, juvenile open-angle glaucoma, and primary open-angle glaucoma. Clinical genetics has yielded insights into the functions of the various CYP1B1 gene domains; however, animal studies are required to investigate the molecular role of CYP1B1 in the eye. While both zebrafish and mice express CYP1B1 in the developing eye, embryonic studies have shown disparate species-specific functions. In zebrafish, CYP1B1 regulates ocular fissure closure such that overexpression causes a remarkable phenotype consisting of the absence of the posterior eye wall. Adult CYP1B1 null zebrafish lack an ocular phenotype but show mild craniofacial abnormalities. In contrast, CYP1B1^−/− mice display post-natal mild to severe trabecular meshwork degeneration due to increased oxidative stress damage. Interestingly, the retinal ganglion cells in CYP1B1 null mice may be more susceptible to damage secondary to increased intraocular pressure. Future studies, including detailed genotype–phenotype information and animal work elucidating the regulation, substrates, and downstream effects of CYP1B1, will yield important insights for developing molecularly targeted therapies that will aim to prevent vision loss in CYP1B1-related eye diseases. Full article

Background/Objectives: Paclitaxel (PTX) is a potent anticancer drug that is poorly soluble in water. To enhance its delivery efficiency in aqueous environments, amphiphilic polymer micelles are often used as nanocarriers for PTX in clinical settings. However, the hydrophilic polymer segments on the surface of these micelles may possess potential immunogenicity, posing risks in clinical applications. To address this issue, nanomicelles based on human serum albumin (HSA)–hydrophobic polymer conjugates constructed via site-specific in situ polymerization-induced self-assembly (SI-PISA) are considered a promising alternative. The HSA shell not only ensures good biocompatibility but also enhances cellular uptake because of endogenous albumin trafficking pathways. Moreover, compared to traditional methods of creating protein–hydrophobic polymer conjugates, SI-PISA demonstrates higher reaction efficiency and better preservation of protein functionality. Methods: We synthesized HSA-PMEMA nanomicelles via SI-PISA using HSA and methoxyethyl methacrylate (MEMA)—a novel hydrophobic monomer with a well-defined and stable chemical structure. The protein activity and the PTX intracellular delivery efficiency of HSA-PMEMA nanomicelles were evaluated. Results: The CD spectra of HSA and HSA-PMEMA exhibited similar shapes, and the relative esterase-like activity of HSA-PMEMA was 94% that of unmodified HSA. Flow cytometry results showed that Cy7 fluorescence intensity in cells treated with HSA-PMEMA-Cy7 was approximately 1.35 times that in cells treated with HSA-Cy7; meanwhile, HPLC results indicated that, under the same conditions, the PTX loading per unit protein mass on HSA-PMEMA was approximately 1.43 times that of HSA. These collectively contributed to a 1.78-fold overall PTX intracellular delivery efficiency of HSA-PMEMA compared to that of HSA. Conclusions: In comparison with HSA, HSA-PMEMA nanomicelles exhibit improved cellular uptake and higher loading efficiency for PTX, effectively promoting the intracellular delivery of PTX. Tremendous potential lies in these micelles for developing safer and more efficient next-generation PTX formulations for tumor treatment. Full article

Reverse genetics systems for influenza C virus encounter challenges due to the inefficient production of infectious virus particles. In the present study, we explored the underlying cause by assessing the efficiency of generating influenza C virus-like particles (C-VLPs) containing specific virus RNA (vRNA) segments. Using 293T cells transfected with plasmids encoding GFP- and DsRed2-vRNAs (each flanked by the non-coding regions of Segments 5 and 6, respectively), along with plasmids expressing virus proteins, we observed that C-VLPs containing a single vRNA segment were generated efficiently. However, the simultaneous packaging of two vRNA segments into a single C-VLP was less frequent, as demonstrated by flow cytometry and reverse-transcription PCR analyses. Statistical evaluations revealed a decreased efficiency of incorporating multiple vRNA segments into single particles, which likely contributes to the reduced production of infectious virus particles in reverse genetics systems. These findings highlight a critical limitation in the vRNA incorporation mechanism of influenza C virus, contrasting with that of influenza A virus. Hence, further studies are required to elucidate specific vRNA packaging signals and optimize vRNA expression levels to improve the production of infectious influenza C virus particles. Full article

Poly (butylene adipate-co-terephthalate) (PBAT) foam sheets prepared by foaming supercritical fluids are characterized by high resilience, homogeneous cellular structure, and well-defined biodegradability. However, the inert chemical structure and the rigid hard segments restrict the diffusion of CO₂ within the PBAT matrix, resulting in extremely long gas saturation times as long as 9 h at a thickness of 12 mm. In this study, microporous structures were pre-introduced into the PBAT matrix to provide a fast gas diffusion pathway during the saturation process. After 2 h of saturation, PBAT foam sheets with expansion ratio of 10 to 13.8 times were prepared. The interaction of CO₂ with PBAT was systematically investigated, and the CO₂ sorption process was evaluated kinetically and thermodynamically using the Fickian diffusion theory. The solubility and diffusion rate of CO₂ in pretreated PBAT sheets with different microporous sizes and densities were investigated, and the effects of pretreatment strategies on the foaming behavior and cell structure of PBAT foam sheets were discussed. The introduction of a microporous structure not only reduces saturation time but also enhances solubility, enabling the successful preparation of soft foams with high expansion ratios and resilience. After undergoing foaming treatment, the PBAT pretreated sheets with a 10 μm microporous structure and a density of 0.45 g/cm³ demonstrated improved mechanical properties: their hardness decreased to 35 C while resilience increased to 58%, reflecting enhanced elastic recovery capabilities. The pretreatment method, which increases the diffusion rate of CO₂ in PBAT sheets, offers a straightforward approach that provides valuable insights into achieving rapid and efficient foaming of thick PBAT sheets in industrial applications. Full article

Sugar-Will-Eventually-be-Exported Transporters (SWEETs) play a crucial role in sugar transport in plants, mediating both plant development and stress responses. Despite their importance, there has been limited research characterizing the functional characteristics of CnSWEET genes in coconut (Cocos nucifera). In this study, we conducted a systematic analysis of SWEET genes in coconut using bioinformatics, subcellular localization studies, in silico promoter analysis, and functional assays with yeast mutants. A total of 16 CnSWEET genes were identified and grouped into four clades. Clade I contained the highest number of genes (eight), derived from four pairs of duplicated genomic segments. In contrast, the other clades had fewer genes (one to four) compared to those in Arabidopsis and other species in the Arecaceae family. An extensive analysis of gene expansion using MSCanX indicated significant divergence in gene expansion patterns, both between and within monocots and dicots, as well as among closely related species within the same family. Notable variations in conserved protein motifs and the number of transmembrane helices (TMHs) were detected within Clade I compared to other clades, affecting the subcellular localization of CnSWEET proteins. Specifically, seven TMHs were associated with proteins located in the cell membrane, while CnSWEET2A, which had five TMHs, was found in both the cell membrane and cytosol. Promoter analysis revealed that some CnSWEET genes contained endosperm or seed specific motifs associated with specific endosperm expression, consistent with expression patterns observed in transcriptome data. Functional analysis of five CnSWEET genes, with transcript sequences supported by transcriptome data, was conducted using yeast mutant complementation assays. This analysis demonstrated diverse transport activities for sucrose, fructose, glucose, galactose, and mannose. Our findings provide valuable insights into the functional diversity of SWEET genes in coconuts and their potential roles in stress responses and plant development. Full article

This paper presents the Cell Transformer (CeT), which utilizes high-definition (HD) map data to predict future traffic states at signalized intersections, thereby aiding trajectory planning for autonomous vehicles. CeT employs discretized lane segments to emulate the cell transmission model, creating a cell space to forecast vehicle counts across all segments based on historical traffic data. CeT enhances prediction accuracy by distinguishing between different vehicle types by incorporating vehicle-type attributes into vehicle-state representations through multi-head attention. In this framework, cells are modeled as nodes in a directed graph, with dynamic connections representing variations in signal phases, thereby embedding spatial relationships and signal information within dynamic graphs. Temporal embeddings derived from time attributes are integrated with these graphs to generate comprehensive spatial–temporal representations. Utilizing an encoder–decoder architecture, CeT captures dependencies and correlations from past cell states to predict future traffic conditions. Validation using real traffic data from pNEUMA demonstrates that CeT significantly outperforms baseline models in two-phase signalized intersection scenarios, achieving reductions of 11.47% in Mean Absolute Error (MAE), 13.48% in Root Mean Square Error (RMSE), and an increase of 4.36% in Accuracy (ACC). In four-phase signalized intersection scenarios, CeT shows even greater effectiveness, with improvements of 13.36% in MAE, 12.93% in RMSE, and 4.78% in ACC. These results underscore CeT’s superior predictive capabilities and highlight the contributions of its core components. Full article

A substantial body of research suggests that early-life stress (ELS) is associated with neuropathology in adulthood. Maternal deprivation (MD) is a commonly utilised model in mice for the study of specific neurological diseases. The appropriate growth of dendrites is essential for the optimal functioning of the nervous system. However, the impact of ELS on interneuron dendritic morphology remains unclear. To ascertain whether ELS induces alterations in the morphology of GABAergic inhibitory interneurons in layers II/III of the medial entorhinal cortex (mEC), the somatosensory cortex (SSC), the motor cortex (MC), and the CA1 region of the hippocampus (Hp), 9-day-old male GAD-67-EGFP transgenic mice were subjected to a 24 h MD. At postnatal day 60 (P60), the animals were sacrificed, and their brains were subjected to morphological analyses. The results indicated that MD affected the dendritic morphology of GABAergic interneurons. The mean dendritic length and mean dendritic segments of the examined cortical areas, except for the MC, were significantly decreased, whereas the number of primary dendrites was unaffected. Furthermore, the density of GAD67-EGFP-positive interneurons was decreased in the mEC and Hp, but not in the somatosensory and MC. The induction of ELS through MD in a developmental time window when significant morphological changes occur rendered the developing cells particularly susceptible to stress, resulting in a significant reduction in the number of surviving interneurons at the adult stage. Full article

Companies increasingly implement exoskeletons in their production lines to reduce musculoskeletal disorders. Studies have been conducted on the general ergonomic effects of exoskeletons in production environments; however, it remains challenging to predict the biomechanical effects these devices may have in specific jobs. This article proposes the parametric modeling of an active lumbar exoskeleton using the Forces ergonomic method, which calculates the ergonomic risk using motion capture in the workplace, considering the internal joint forces. The exoskeleton was studied to model it in the Forces method using a four-phase approach based on experimental observations (Phase 1) and objective data collection via motion capture with inertial sensors and load cells for lifting load movements. From the experimentation the angles of each body segment, the effort perceived by the user, and the activation conditions were obtained (Phase 2). After modeling development (Phase 3), the experimental results regarding the force and risk were evaluated obtaining differences between model and experimental data of 0.971 ± 0.171 kg in chest force and 1.983 ± 0.678% in lumbar risk (Phase 4). This approach provides a tool to evaluate the biomechanical effects of this device in a work task, offering a parametric and direct approximation of the effects prior to implementation. Full article

Smooth muscle cells (SMCs) are an essential component of the intestine, play an important role to maintain intestine structure, and produce peristaltic and segmentation movements. The silent information regulator 1 (SIRT1) has a dual role along with possible mechanisms in the different experimental models of inflammatory bowel disease (IBD). However, very little is known about other putative roles that overexpression of SIRT1 in SMCs may have. Here, we explored the role of SMC SIRT1 in colonic mucosa regeneration and recovery after DSS-induced colitis. We showed that smooth-muscle-specific SIRT1 transgene (Sirt1-Tg) mice have abnormal baseline intestinal architecture. The overexpression of SIRT1 impaired the recovery after DSS-induced injury. Furthermore, we showed that smooth-muscle SIRT1 affected the intestinal epithelial regeneration after damage by releasing cZFP609, which inhibited the hypoxia-inducible factor (HIF)-1α nuclear translocation. Together, we identify an important signaling axis cZFP609-HIF-1α linking SMCs and intestinal epithelium, which is involved in colitis development. Full article

Background/Objectives: Accurate and efficient segmentation of cervical cells is crucial for the early detection of cervical cancer, enabling timely intervention and treatment. Existing segmentation models face challenges with complex cellular arrangements, such as overlapping cells and indistinct boundaries, and are often computationally intensive, which limits their deployment in resource-constrained settings. Methods: In this study, we introduce a lightweight and efficient segmentation model specifically designed for cervical cell analysis. The model employs a MobileNetV2 architecture for feature extraction, ensuring a minimal parameter count conducive to real-time processing. To enhance boundary delineation, we propose a novel force map approach that drives pixel adjustments inward toward the centers of cells, thus improving cell separation in densely packed areas. Additionally, we integrate extreme point supervision to refine segmentation outcomes using minimal boundary annotations, rather than full pixel-wise labels. Results: Our model was rigorously trained and evaluated on a comprehensive dataset of cervical cell images. It achieved a Dice Coefficient of 0.87 and a Boundary F1 Score of 0.84, performances that are comparable to those of advanced models but with considerably lower inference times. The optimized model operates at approximately 50 frames per second on standard low-power hardware. Conclusions: By effectively balancing segmentation accuracy with computational efficiency, our model addresses critical barriers to the widespread adoption of automated cervical cell segmentation tools. Its ability to perform in real time on low-cost devices makes it an ideal candidate for clinical applications and deployment in low-resource environments. This advancement holds significant potential for enhancing access to cervical cancer screening and diagnostics worldwide, thereby supporting broader healthcare initiatives. Full article

This paper focuses on the crucial task of automatic recognition and understanding of table structures in engineering drawings and document processing. Given the importance of tables in information display and the urgent need for automated processing of tables in the digitalization process, an intelligent verification method is proposed. This method integrates multiple key techniques: YOLOv10 is used for table object recognition, achieving a precision of 0.891, a recall rate of 0.899, mAP50 of 0.922, and mAP50-95 of 0.677 in table recognition, demonstrating strong target detection capabilities; the improved LORE algorithm is adopted to extract table structures, breaking through the limitations of the original algorithm by segmenting large-sized images, with a table extraction accuracy rate reaching 91.61% and significantly improving the accuracy of handling complex tables; RapidOCR is utilized to achieve text recognition and cell correspondence, solving the problem of text-cell matching; for equipment name semantic matching, a method based on BERT is introduced and calculated using a comprehensive scoring method. Meanwhile, an improved cuckoo search algorithm is proposed to optimize the adjustment factors, avoiding local optima through sine optimization and the catfish effect. Experiments show the accuracy of equipment name matching in semantic similarity calculation approaches 100%. Finally, the paper provides a concrete system practice to prove the effectiveness of the algorithm. In conclusion, through experimental comparisons, this method exhibits excellent performance in table area location, structure recognition, and semantic matching and is of great significance and practical value in advancing table data processing technology in engineering drawings. Full article

Blood cell-derived indices are potential predictors of clinical outcomes in coronary artery disease. This study assessed the prognostic value of the pan-immune-inflammatory value (PIV) for predicting 1-year major adverse cardiovascular events (MACEs) in patients with non-ST-segment elevation acute coronary syndrome (ACS). A retrospective cohort of 1651 patients receiving percutaneous coronary intervention was analyzed. PIV, calculated from blood cell counts, was categorized with a cut-off value of 256.3 (sensitivity 60.7%, specificity 59.3%) based on receiver operating characteristic curve analysis. MACEs were operationalized as a composite of all-cause mortality, myocardial infarction (MI), stroke, any revascularization, and rehospitalization for heart failure. The incidence of MACEs was 5.0% in patients with low PIV and 9.7% in those with high PIV (log-rank p < 0.001). Multivariate analysis identified age 65 > years, renal dysfunction (eGFR < 60 mL/min/1.73 m²), and high PIV (>256.3) (HR 1.49, 95% CI 1.01–2.22, p = 0.048) as independent predictors of MACEs. Subgroup analyses revealed no statistically significant interaction between MI status or C-reactive protein levels and PIV. PIV was an independent predictor of 1-year MACEs in patients with non-ST-segment elevation ACS. It may serve as a reliable prognostic marker independently of MI or C-reactive protein levels. Full article