Explore the vast range of titles available.

Oxidative coupling of CO is a straightforward and economic benign synthetic route for value-added α -diketone moiety containing C 2 or higher carbon compounds in both laboratory and industry, but is still undeveloped to date. In this work, a rare coplanar dinuclear hydroxycarbonylcobalt(III) complex, bearing a Schiff-base macrocyclic equatorial ligand and a μ-κ 1 (O): κ 1 (O’)-acetate bridging axial ligand, is synthesized and characterized. The Co(III)-COOH bonds in this complex can be feasibly photocleaved, leading to the formation of oxalic acid. Moreover, the light-promoted catalytic direct production of oxalic acid from CO and H 2 O using O 2 as the oxidant with good selectivity (> 95%) and atom economy at ambient temperature and gas pressure based on this dicobalt(III) complex have been achieved, with a turnover number of 38.5. The 13 C-labelling and 18 O-labelling experiments confirm that CO and H 2 O act as the sources of the -COOH groups in the dinuclear hydroxycarbonylcobalt(III) complex and the oxalic acid product. Oxidative coupling of CO is a straightforward but currently underdeveloped economically benign synthetic route to target α-diketones. Here, the authors synthesize a rare coplanar dinuclear hydroxycarbonylcobalt(III) complex and demonstrate that the Co – carboxylate bonds can be easily cleaved leading to the formation of oxalic acid.

Background Isolated fallopian tube torsion (IFTT) is a rare cause of gynecological acute abdomen, is easily misdiagnosed and often has a delay in diagnosis. IFTT with paraovarian cysts is most frequently reported in studies. Here, we reported a patient diagnosed with IFTT associated with a paraovarian cyst, and we conducted a literature review for IFTT, aiming to identify valuable information that will be helpful for diagnosis and treatment for fallopian tube torsions. Case presentation A 13-year-old girl presented with a 10-day history of right lower abdominal pain that worsened 2 days before presentation. On presentation, ultrasound showed a 5.8 * 5.5 cm hypoechoic cyst adjacent to the right ovary, and between the cyst and ovary, a tortuous thickened tube was visualized. Laparoscopy revealed a triple torsion of the right fallopian tube with a 6-cm paraovarian cyst, and tubal conservation surgery was performed. The postoperative course was uneventful. Histopathological diagnosis revealed serous papillary cystadenoma. Conclusion Paraovarian cystic dilatation often occurs in adolescence and can induce fallopian torsion when the size of the cyst reaches 5-cm. In our review, the median age of patients diagnosed with IFTT with paraovarian cysts was 15 years old, and the main clinical manifestation was emergency abdominal pain. The associated symptoms were variable, and vomiting was the most commonly associated symptom. Salpingectomy was the most common procedure performed; however, timely surgical intervention can effectively avoid salpingectomy.

Myomectomy scar pregnancy (MSP) is a rare disease, which is defined as a gestational sac located within a previous myomectomy scar. MSP is an uncommon late complication of uterine fibroids after myomectomy. We report a case where the implantation site matched the site of the previous myomectomy, and review the existing literature. A 28-year-old pregnant woman presented with vaginal bleeding. She was diagnosed with MSP by ultrasound and magnetic resonance imaging, and then underwent laparotomic enucleation. The patient’s postoperative course was uneventful. Taking into account the findings in our case and the seven other reported cases of MSP, we propose that MSP can be divided into three types and that surgical enucleation of the pregnancy mass is an effective treatment.

Human telomerase reverse transcriptase (hTERT), a crucial enzyme for telomere maintenance, has been associated with the development of ovarian cancer (OC). The purpose of this study was to investigate the difference of methylation rates of hTERT promoter in tumour tissues and plasma samples of patients with ovarian magnificent tumour and those with ovarian benign tumour, as well as in plasma samples of healthy women. This study further aimed to establish a possible association between increased methylation rate of hTERT promoter and circulating tumour DNAs (ctDNA) amongst patients with ovarian magnificent tumour. Tumour tissue samples and plasma samples were separately obtained from 17 patients with ovarian magnificent tumour (experiment group, group A) and from 15 patients with ovarian benign tumour (control group, group B). Another 15 plasma samples were acquired from healthy women (control group, group C). Promoter methylation was assessed by methylation-specific PCR (MSP). Statistical analysis was conducted using SPSS 22.0. Methylation of hTERT was observed in 76.5% of tumour tissue samples and in 70.6% of plasma samples from patients with ovarian magnificent tumour. It was also observed in 26.7% of tumour tissue samples and 20% of plasma samples from patients with ovarian benign tumour, and in 13.3% of plasma samples from healthy women. Comparing between plasmas and tissues, the respective rates of consistency, sensitivity and specificity were 70.59%, 76.9% and 50% in group A, and 80%, 50% and 90.9% in group B. Hence, the associations of hTERT methylation with ctDNAs (p=0.001) and tumour tissue samples (p=0.012) amongst patients with ovarian magnificent tumour were established. An increased methylation of hTERT promoter is related to ctDNAs and tumour tissues of patients with ovarian magnificent tumour.

Background This study evaluated the presentation of pulmonary sclerosing pneumocytoma (PSP) in 18F‐fluorodeoxyglucose positron emission tomography/computed tomography (18F‐FDG PET/CT) with the aim of increasing awareness of the disease. Methods Retrospective analysis was performed on 46 PSP patients who had 18F‐FDG PET/CT before surgery or pathological examination from January 2011 to December 2023. The 18F‐FDG PET/CT manifestations of PSP were summarized, and the correlation between the maximum diameter of the tumor and PET metabolic parameters was analyzed, including the maximum standardized uptake value (SUVmax), the mean SUV (SUVmean), the peak SUV (SUVpeak), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Results The 46 tumors were randomly distributed in each lobe of both lungs. The mean maximum diameter of these lesions was 2.2 cm (range: 0.6 to 6.5 cm). The mean SUVmax was 2.96 ± 1.88 (median: 2.69, range: 0–9.02). Thirty‐three cases were categorized as mild to moderate FDG uptake, eleven cases were categorized as intense FDG uptake, and no FDG uptake was observed in the remaining two cases of the lesions qualitatively evaluated. The SUVmax of the PSP showed a positive correlation with the maximum diameter of the tumors (R = 0.493, R2 = 0.258, and p < 0.001). SUVmean (R = 0.500, R2 = 0.259, p < 0.001), SUVpeak (R = 0.553, R2 = 0.324, p < 0.001), MTV (R = 0.773, R2 = 0.592, p < 0.001) and TLG (R = 0.800, R2 = 0.654, p < 0.001) were positively correlated with the maximum diameter of the tumor. Conclusion In our study, statistically significant positive correlations were found between SUVmax, SUVmean, SUVpeak, MTV, and TLG and the maximum diameter of PSP. We found that the maximum diameter of the tumor is associated with an increase in FDG uptake in PSP, reflecting a potential correlation between lesion diameter and PET metabolic parameters, indicating a link between structural features and metabolic activity. Heatmap of correlation between the maximum diameter and PET metabolic parameters.

Mucosal-associated invariant T (MAIT) cells are a population of innate-like T cells, which mediate host immunity to microbial infection by recognizing metabolite antigens derived from microbial riboflavin synthesis presented by the MHC-I-related protein 1 (MR1). Namely, the potent MAIT cell antigens, 5-(2-oxopropylideneamino)-6-D-ribitylaminouracil (5-OP-RU) and 5-(2-oxoethylideneamino)-6-D-ribitylaminouracil (5-OE-RU), form via the condensation of the riboflavin precursor 5-amino-6-D-ribitylaminouracil (5-A-RU) with the reactive carbonyl species (RCS) methylglyoxal (MG) and glyoxal (G), respectively. Although MAIT cells are abundant in humans, they are rare in mice, and increasing their abundance using expansion protocols with antigen and adjuvant has been shown to facilitate their study in mouse models of infection and disease. Here, we outline three methods to increase the abundance of MAIT cells in C57BL/6 mice using a combination of inflammatory stimuli, 5-A-RU and MG. Our data demonstrate that the administration of synthetic 5-A-RU in combination with one of three different inflammatory stimuli is sufficient to increase the frequency and absolute numbers of MAIT cells in C57BL/6 mice. The resultant boosted MAIT cells are functional and can provide protection against a lethal infection of . These results provide alternative methods for expanding MAIT cells with high doses of commercially available 5-A-RU (± MG) in the presence of various danger signals.

This study evaluated the presentation of pulmonary sclerosing pneumocytoma (PSP) in F-fluorodeoxyglucose positron emission tomography/computed tomography ( F-FDG PET/CT) with the aim of increasing awareness of the disease. Retrospective analysis was performed on 46 PSP patients who had F-FDG PET/CT before surgery or pathological examination from January 2011 to December 2023. The F-FDG PET/CT manifestations of PSP were summarized, and the correlation between the maximum diameter of the tumor and PET metabolic parameters was analyzed, including the maximum standardized uptake value (SUV ), the mean SUV (SUV ), the peak SUV (SUV ), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). The 46 tumors were randomly distributed in each lobe of both lungs. The mean maximum diameter of these lesions was 2.2 cm (range: 0.6 to 6.5 cm). The mean SUV was 2.96 ± 1.88 (median: 2.69, range: 0-9.02). Thirty-three cases were categorized as mild to moderate FDG uptake, eleven cases were categorized as intense FDG uptake, and no FDG uptake was observed in the remaining two cases of the lesions qualitatively evaluated. The SUV of the PSP showed a positive correlation with the maximum diameter of the tumors (R = 0.493, R  = 0.258, and p < 0.001). SUV (R = 0.500, R  = 0.259, p < 0.001), SUV (R = 0.553, R  = 0.324, p < 0.001), MTV (R = 0.773, R  = 0.592, p < 0.001) and TLG (R = 0.800, R  = 0.654, p < 0.001) were positively correlated with the maximum diameter of the tumor. In our study, statistically significant positive correlations were found between SUV , SUV , SUV , MTV, and TLG and the maximum diameter of PSP. We found that the maximum diameter of the tumor is associated with an increase in FDG uptake in PSP, reflecting a potential correlation between lesion diameter and PET metabolic parameters, indicating a link between structural features and metabolic activity.

It was possible to conduct a study on the shape and parameterization of the vibrating screen so as to explore the relationship between detailed vibrating screen motion parameters and particle group distribution under different screen surface states. The motion characteristics of particle groups in various scenes were investigated, screening performance of vibrating screen with complex parameters was studied, interaction between motion parameters of screen surface and motion of material groups in multi-component mixed particle groups was analyzed, segregation distribution law of multi-component mixed material groups was revealed, and this study presents simulation findings based on the discrete element program EDEM. The ensemble learning approach was used to examine the optimized model screen. It was revealed that the screen’s amplitude, vibration frequency, vibration direction angle, swing frequency, swing angle, and change rate of screen surface inclination all had a major impact on its performance. As a result, the vibrating screen’s running state was described by various parameter combinations, and the trend changes of several factors that affected the performance of the screen were examined. The investigation revealed that the particle swarm optimization backpropagation (PSO-BP) neural network model outperformed the backpropagation (BP) neural network model alone in terms of prediction. It had lower root mean square error (RMSE), mean square relative error (MSRE), mean absolute error (MAE), and mean absolute relative error (MARE) than the BP neural network model, but a larger R2. This model’s greatest absolute error was 0.0772, and its maximum relative error was 0.0241. The regression coefficient R value of 0.9859, which displayed the model’s strong performance and high prediction accuracy, showed that the PSO-BP model was feasible and helpful for parameter optimization design of vibrating screens.

We propose MEBM-Speech, a multi-scale enhanced neural decoder for speech activity detection from non-invasive magnetoencephalography (MEG) signals. Built upon the BrainMagic backbone, MEBM-Speech integrates three complementary temporal modeling mechanisms: a multi-scale convolutional module for short-term pattern extraction, a bidirectional LSTM (BiLSTM) for long-range context modeling, and a depthwise separable convolutional layer for efficient cross-scale feature fusion. A lightweight temporal jittering strategy and average pooling further improve onset robustness and boundary stability. The model performs continuous probabilistic decoding of MEG signals, enabling fine-grained detection of speech versus silence states - an ability crucial for both cognitive neuroscience and clinical applications. Comprehensive evaluations on the LibriBrain Competition 2025 Track1 benchmark demonstrate strong performance, achieving an average F1 macro of 89.3% on the validation set and comparable results on the official test leaderboard. These findings highlight the effectiveness of multi-scale temporal representation learning for robust MEG-based speech decoding.

We propose MEBM-Phoneme, a multi-scale enhanced neural decoder for phoneme classification from non-invasive magnetoencephalography (MEG) signals. Built upon the BrainMagic backbone, MEBM-Phoneme integrates a short-term multi-scale convolutional module to augment the native mid-term encoder, with fused representations via depthwise separable convolution for efficient cross-scale integration. A convolutional attention layer dynamically weights temporal dependencies to refine feature aggregation. To address class imbalance and session-specific distributional shifts, we introduce a stacking-based local validation set alongside weighted cross-entropy loss and random temporal augmentation. Comprehensive evaluations on LibriBrain Competition 2025 Track2 demonstrate robust generalization, achieving competitive phoneme decoding accuracy on the validation and official test leaderboard. These results underscore the value of hierarchical temporal modeling and training stabilization for advancing MEG-based speech perception analysis.