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This study delves into the status quo, variations based on demographic information, and the relationship between job stress, burnout, and Psychological Capital (PsyCap) among Chinese English as Foreign Language (EFL) teachers in higher institutions. The investigation utilized a questionnaire for data collection and analysis. 297 EFL teachers from various institutions in China were recruited between July and October 2023. The data underscores that Chinese EFL instructors in higher institutions experience moderately high levels of stress, burnout, and PsyCap. However, when compared to stress and burnout levels, PsyCap emerges as relatively lower. The statistical results revealed that male teachers report significantly higher stress levels than their female counterparts; no difference was identified in job burnout indicators; among four indicators in PsyCap, male teachers exhibit significantly higher self-efficacy compared to female teachers. Private school teachers face elevated levels of stress and increased burnout compared to their public school counterparts, alongside possessing lower levels of PsyCap than those in public schools. Positive correlations exist between job stress and burnout, and negative correlations with PsyCap. PsyCap partially mediates the stress-burnout relationship, with indicators like hope and resilience playing a mediating role. This research may offer some guidance for educators, institutions, policymakers, and researchers to enhance the well-being of Chinese EFL teachers in various educational settings.

The emergence of Positive Psychology in second language acquisition has placed greater emphasis on the vital role of engagement in learning English as a foreign language (EFL). Although previous research has established that EFL learners' engagement is affected by ideal L2 self, boredom, and grit respectively, sporadic studies have attempted to address the simultaneous link between these factors and engagement. To fill the gap, this study aims to examine the association between the ideal L2 self and engagement among EFL learners, with a special focus on the mediating role of grit and boredom in the relationship. A total of 466 EFL learners were enrolled in two public universities in Northern China. Structural equation modeling (SEM) results revealed that grit positively predicted engagement and mediated the relationship between the ideal L2 self and engagement. Moreover, boredom negatively predicted engagement and acted as a mediator between the ideal L2 self and engagement. However, ideal L2 self did not directly predict engagement. These findings contribute to the current knowledge by elucidating the complex relationships between the three factors and engagement, which can provide insights for pedagogical practices and directions for future research.

Abstract The harmonic problems caused by non‐linear factors of the grid connected inverter (GCI) system are more complicated, including both non‐characteristic harmonics emitted by the dead‐time and the changes in harmonic impedance characteristics. Harmonics interact with the changing impedance, and even cause harmonic amplification and resonance. The harmonic deterioration of the multiple GCIs system is serious. To analyse the mechanism and way of harmonic deterioration in grid‐connected system caused by nonlinear factors, the active impedance models of single inverter and multiple GCIs system including dead‐time effect and digital control delay are established first. In view of this, the influence mechanism of non‐linear factors on system stability is explored. The improved modal analysis method is used to traverse the network series parallel resonance caused by nonlinear factors. The results show that both the dead‐time effect and digital control delay reduce phase margin of the system, resulting in the resonant frequency shift and the resonant peak increase. When the harmonic excitation source interacts with the complex network under the influence of nonlinear factors, it will lead to further deterioration of harmonics. Finally, based on the MATLAB and RT‐LAB hardware‐in‐the‐loop simulation platforms, a multiple GCIs system model is built to verify the correctness of the established active impedance model and harmonic deterioration analysis.

Abstract Objective To assess the prevalence, timing, and functional impact of neuropsychiatric symptoms in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) and to assess whether these neuropsychiatric symptoms are associated with magnetic resonance imaging (MRI) features of the patients. Methods Our study included a total of 78 patients with CADASIL. To assess neuropsychiatric symptoms, we evaluated the caregivers using the Neuropsychiatric Inventory (NPI). Patients were considered to have an irritability, depression, apathy, aggression, or anxiety disorder if they scored ≥1 in the NPI. Subsequently, we conducted a more detailed assessment of irritability, depression, apathy, aggression, and anxiety. Multivariate logistic regression was employed to analyze the relationships between neuropsychiatric symptoms and clinical/MRI features in the patients. Results Overall, 57.69% of patients with CADASIL experienced neuropsychiatric symptoms. Among these symptoms, irritability was the most prevalent (52.56%), followed by depression (19.23%), apathy (17.95%), aggression (7.69%), and anxiety (6.41%). The mean age of onset for irritability was the youngest, followed by anxiety, apathy, aggression, and depression. Among patients with both stroke/TIA and neuropsychiatric symptoms, 31.03% reported experiencing neuropsychiatric symptoms prior to stroke/TIA. Furthermore, both irritability and apathy had a negative impact on the patients' daily functioning. Additionally, there was a correlation between the presence of neuropsychiatric symptoms and the patients' MRI lesion burden. Interpretation Our study has discovered that neuropsychiatric symptoms are highly prevalent in patients with CADASIL and may occur before cerebrovascular events, suggesting that neuropsychiatric symptoms of CADASIL deserve more attention and earlier exploration.

Abstract Biomaterials can act as pro- or anti-inflammatory agents. However, effects of biomaterials crystallinity on immune responses are poorly understood. We demonstrate that the adjuvant-like behaviour of covalent organic framework (COF) biomaterial is dependent on its crystallinity. COF crystallinity is inversely correlated with the activation of mouse and human dendritic cells (DC), but with antigen presentation by mouse DCs only. Amorphous COFs upregulates NFkB, TNF, and RIG-I signalling pathways, as well as the chemotaxis-associated gene Unc5c, when compared to crystalline COFs. Meanwhile, Unc5c inhibition disrupts the correlation between crystallinity and DC activation. Furthermore, COFs with the lowest crystallinity admixed with chicken ovalbumin (OVA) antigen prevent OVA-expressing B16F10 tumour growth in 60% of mice, with this protection associated with the induction of antigen-specific, pro-inflammatory T cell. The lowest crystalline COFs admixed with TRP2 antigen can also prevent non-immunogenic YUMM1.1 tumour growth in 50% of mice. These findings demonstrate that the crystallinity of biomaterials is an important aspect to consider when designing immunotherapy for pro- or anti-inflammatory applications.

Esophageal damage in gastroesophageal reflux disease (GERD) is a chronic inflammation, and fibroblasts, as esophageal stromal cells, play an important role in the oesophageal mucosal barrier and oesophageal inflammation. Fibroblasts are closely associated with the degree of disease progression in GERD, secreting large amounts of collagen to promote oesophageal mucosal barrier repair during oesophageal damage, regulating immune homeostasis through paracrine signaling, and interacting with immune cells. In addition to secreting inflammatory products, but inappropriate fibroblast activation can induce a pro-inflammatory response. Activation of fibroblasts induces pro-inflammatory and immunosuppressive properties promoting the presence of disease, suggesting that they may play a key role in disease progression.

Abstract Polycomb repressive complex 2 (PRC2) catalyzes the writing of the tri-methylated histone H3 at Lys27 (H3K27me3) epigenetic marker and suppresses the expression of genes, including tumor suppressors. The function of the complex can be partially antagonized by the SWI/SNF chromatin-remodeling complex. Previous studies have suggested that PRC2 is important for the proliferation of tumors with SWI/SNF loss-of-function mutations. In the present study, we have developed an EED-directed allosteric inhibitor of PRC2 termed BR0063, which exhibits anti-proliferative properties in a subset of solid tumor cell lines harboring mutations of the SWI/SNF subunits, SMARCA4 or ARID1A. Tumor cells sensitive to BR0063 exhibited several distinct phenotypes, including cell senescence, which was mediated by the up-regulation of CDKN2A/p16. Further experiments revealed that the expression of p16 was suppressed in the BR0063-resistant cells via DNA hypermethylation in the CpG island (CGI) promoter region, rather than via PRC2 occupancy. The expression of TET1, which is required for DNA demethylation, was found to be inversely correlated with p16 CGI methylation, and this may serve as a biomarker for the prediction of resistance to PRC2 inhibitors in SWI/SNF LOF tumors.

Abstract Fall behavior is closely related to the high mortality rate of the elderly, so fall detection has become an important and urgent research area in human behavior recognition. However, the existing fall detection methods, suffer from the loss of detailed action information during feature extraction due to the downsampling operation, resulting in subpar performance when detecting falls with similar behaviors such as lying and sitting. To solve the challenges, this study proposes a high-resolution spatio-temporal feature extraction method based on a spatio-temporal coordinate attention mechanism. The method employs 3D convolutions to extract spatio-temporal features and utilizes gradual down-sampling to generate a multi-resolution sub-network, thus realizing multi-scale fusion and perception enhancement of details. In particular, this study designs a pseudo-3D basic block, which simulates the ability of 3D convolution, to ensure the running speed of the network while controlling the number of parameters. Further, a spatio-temporal coordinate attention mechanism is designed to accurately extract the spatio-temporal positional changes of key skeletal points and the interrelationships among them. Long-term dependencies in horizontal, vertical, temporal directions are captured through three one-dimensional global pooling operations. Then the long-range relationships and channel correlations among features are captured by cascading and slicing operations. Finally, the key information is effectively highlighted by performing dot-multiplication operations between the feature maps from the horizontal, vertical and temporal directions and the input feature maps. Experimental results on three typical public datasets show that the proposed method can better extract motion features and improve the accuracy of fall detection.

Fungal corneal ulcer is one of the leading causes of corneal blindness in developing countries. Corneal scars such as leukoplakia are formed due to inflammation, oxidative stress and non-directed repair, which seriously affect the patients' subsequent visual and life quality. In this study, drawing inspiration from the oriented structure of collagen fibers within the corneal stroma, we first proposed the directional arrangement of CuTA-CMHT hydrogel system at micro and macro scales based on the 3D printing extrusion method combined with secondary patterning. It played an antifungal role and induced oriented repair in therapy of fungal corneal ulcer. The results showed that it effectively inhibited Candida albicans, Aspergillus Niger, Fusarium sapropelum, which mainly affects TNF, NF-kappa B, and HIF-1 signaling pathways, achieving effective antifungal functions. More importantly, the fibroblasts interacted with extracellular matrix (ECM) of corneal stroma through formation of focal adhesions, promoted the proliferation and directional migration of cells in vitro, induced the directional alignment of collagen fibers and corneal stromal orthogonally oriented repair in vivo. This process is mainly associated with MYLK, MYL9, and ITGA3 molecules. Furthermore, the downregulation the growth factors TGF-β and PDGF-β inhibits myofibroblast development and reduces scar-type ECM production, thereby reducing corneal leukoplakia. It also activates the PI3K-AKT signaling pathway, promoting corneal healing. In conclusion, the oriented CuTA-CMHT hydrogel system mimics the orthogonal arrangement of collagen fibers, inhibits inflammation, eliminates reactive oxygen species, and reduces corneal leukoplakia, which is of great significance in the treatment of fungal corneal ulcer and is expected to write a new chapter in corneal tissue engineering.

Abstract Accurate segmentation of retinal blood vessels is crucial for enhancing diagnostic efficiency and preventing disease progression. However, the small size and complex structure of retinal blood vessels, coupled with low contrast in corresponding fundus images, pose significant challenges for this task. We propose a novel approach for retinal vessel segmentation, which combines the transformer and convolutional dual-path decoding U-Net (TCDDU-Net). We propose the selective dense connection swin transformer block, which converts the input feature map into patches, introduces MLPs to generate probabilities, and performs selective fusion at different stages. This structure forms a dense connection framework, enabling the capture of long-distance dependencies and effective fusion of features across different stages. The subsequent stage involves the design of the background decoder, which utilizes deformable convolution to learn the background information of retinal vessels by treating them as segmentation objects. This is then combined with the foreground decoder to form a dual-path decoding U-Net. Finally, the foreground segmentation results and the processed background segmentation results are fused to obtain the final retinal vessel segmentation map. To evaluate the effectiveness of our method, we performed experiments on the DRIVE, STARE, and CHASE datasets for retinal vessel segmentation. Experimental results show that the segmentation accuracies of our algorithms are 96.98, 97.40, and 97.23, and the AUC metrics are 98.68, 98.56, and 98.50, respectively.In addition, we evaluated our methods using F1 score, specificity, and sensitivity metrics. Through a comparative analysis, we found that our proposed TCDDU-Net method effectively improves retinal vessel segmentation performance and achieves impressive results on multiple datasets compared to existing methods.

Abstract Chimeric antigen receptor (CAR) T-cell therapy presents a promising approach for treating certain types of hematological malignancies. In this article, we have conducted a thorough review of the history and development of CAR-T cell therapy and outlined its high efficacy in the field of acute leukemia. It is believed that the combination of CAR-T cell therapy with allogeneic hematopoietic stem cell transplantation (allo-HSCT) has led to improved outcomes in patients with relapsed or refractory acute leukemia, based on the available data. Furthermore, we have brought to light the challenges that are associated with CAR-T cell therapy.

Abstract The anterior cruciate ligament is anchored to the femur and tibia via specialized interfaces known as entheses. These play a critical role in ligament homeostasis and joint stability by transferring forces, varying in magnitude and direction between structurally and functionally dissimilar tissues. However, the precise structural and mechanical characteristics underlying the femoral and tibial entheses and their intricate interplay remain elusive. In this study, two thin-graduated mineralization regions in the femoral enthesis (~21 μm) and tibial enthesis (~14 μm) are identified, both exhibiting distinct biomolecular compositions and mineral assembly patterns. Notably, the femoral enthesis interface exhibits progressively maturing hydroxyapatites, whereas the mineral at the tibial enthesis interface region transitions from amorphous calcium phosphate to hydroxyapatites with increasing crystallinity. Proteomics results reveal that Matrix Gla protein uniquely enriched at the tibial enthesis interface, may stabilize amorphous calcium phosphate, while C-type lectin domain containing 11 A, enriched at the femoral enthesis interface, could facilitate the interface mineralization. Moreover, the finite element analysis indicates that the femoral enthesis model exhibited higher resistance to shearing, whereas the tibial enthesis model contributes to tensile resistance, suggesting that the discrepancy in biomolecular expression and the corresponding mineral assembly heterogeneities collectively contribute to the superior mechanical properties of both the femoral enthesis and tibial enthesis models. These findings provide novel perspectives on the structure-function relationships of anterior cruciate ligament entheses, paving the way for improved management of anterior cruciate ligament injury and regeneration.

Abstract Background Greenspace is an important modifiable environmental factor that is associated with health and well-being. Although previous research has shown that exposure to greenspace is beneficial for cardiovascular diseases, studies have rarely focused on early subclinical health outcomes such as electrocardiogram (ECG) abnormality. Methods We developed a longitudinal study using data from the China National Stroke Screening Survey (2013–2019). Monthly exposure to greenspace was assessed by the Normalized Difference Vegetation Index (NDVI) values. ECG abnormality was diagnosed by physicians based on the results of the 12-lead electrocardiogram. We used fixed-effects logistic regression with participant-specific intercepts to estimate the association between exposure to greenspace and ECG abnormalities. Results A total of 132,108 visits from 61,029 participants with ≥ 2 ECG measurements were included. At baseline, the lag-1 month average NDVI value was 0.29 (SD = 0.15). In the fully adjusted model, per 0.1-unit increment in lag-1 month average NDVI value was associated with a 3.0% (95% CI -1.6 ∼ 7.4%) decreased risk of ECG abnormality. In urban areas, the decreased risk associated with per 0.1-unit increment in NDVI was 14.81% (95% CI 9.38 ∼ 19.92%). Conclusion Our study found that higher exposure to greenspace was associated with a decreased risk of ECG abnormality, especially in urban areas. Our findings suggested that monthly exposure to greenspace might be beneficial to cardiovascular health, and greenspace provision and maintenance could be considered an important public health intervention in urban planning.

In this study, we constructed domain D, E and DE truncated mutants of a marine-derived cyclodextrin glucosyltransferase (CGTase) my20 and heterologously expressed these mutants using the pET-24a vector and E. coli BL21 (DE3) as the host, and purified the expressed enzyme by nickel affinity column chromatography. The specific cyclization activities of my20ΔD, my20ΔE, and my20ΔDE were approximately 197%, 22%, and 17% of that of my20, respectively, indicating that domain E is important for the catalytic activity of CGTase, and the presence of domain D might hinder substrate molecules from entering the catalytic domains. my20 was a heat-resistant enzyme, and the three truncated mutants showed different degrees of reduction in heat resistance, suggesting that domains D and E played an important role in the heat resistance of CGTase. The domain DE-deleted mutant showed an 8% increase in the percentage of α-cyclodextrin (CD) in the catalytic product compared with the other truncated mutants, which suggested that the loss of domain DE affected the product specificity. The results of this study provide a theoretical basis for CGTase domain modification for its application in industrial production.

Abstract Single-cell RNA sequencing is a powerful tool to investigate the cellular makeup of tumor samples. However, due to the sparse data and the complex tumor microenvironment, it can be challenging to identify neoplastic cells that play important roles in tumor growth and disease progression. This is especially relevant for blood cancers, where neoplastic cells may be highly similar to normal cells. To address this challenge, we have developed partCNV and partCNVH, two methods for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. PartCNV uses an expectation-maximization (EM) algorithm with mixtures of Poisson distributions and incorporates cytogenetic information to guide the classification. PartCNVH further improves partCNV by integrating a hidden Markov model for feature selection. We have thoroughly evaluated the performance of partCNV and partCNVH through simulation studies and real data analysis using three scRNA-seq datasets from blood cancer patients. Our results show that partCNV and partCNVH have favorable accuracy and provide more interpretable results compared to existing methods. In the real data analysis, we have identified multiple biological processes involved in the oncogenesis of myelodysplastic syndromes and acute myeloid leukemia.

Abstract Background Tumour invading muscle in head and neck squamous cell carcinoma (HNSCC) is often associated with destructive growth and poor prognosis. However, the phenotypic functions and pathological mechanisms of muscle-invasive cancer cells in tumour progress remains unknown. In this study, we aimed to investigate the phenotypic functions of muscle-invasive cancer cells of HNSCC and their potential crosstalk with tumour microenvironment. Methods We obtained scRNA-seq data (SC) from GSE103322 (N = 18) and GSE181919 (N = 37), spatial RNA-seq data (ST) from GSE208253 and GSE181300 (N = 4), transcriptomics of human HNSCC samples from GSE42743 (N = 12) and GSE41613 (N = 97). Utilizing the TCGA-HNSC dataset, we conducted univariate and multivariate Cox analyses to investigate the prognostic impact of muscle-invasion in HNSCC, with validation in an additional cohort. Through Stutility and AUCell approaches, we identified and characterized muscle-invasive cancer cell clusters, including their functional phenotypes and gene-specific profiles. Integration of SC and ST data was achieved using Seurat analysis, multimodal intersection analysis, and spatial deconvolution. The results were further validated via in vitro and in vivo experiments. Results Our analyses of the TCGA-HNSC cohort revealed the presence of muscle-invasion was associated with a poor prognosis. By combining ST and SC, we identified muscle-invasive cancer cells exhibiting epithelial-to-mesenchymal transition (EMT) and myoepithelial-like transcriptional programs, which were correlated with a poor prognosis. Furthermore, we identified G0S2 as a novel marker of muscle-invasive malignant cells that potentially promotes EMT and the acquisition of myoepithelium-like phenotypes. These findings were validated through in vitro assays and chorioallantoic membranes experiments. Additionally, we demonstrated that G0S2-overexpressing cancer cells might attract human ECs via VEGF signalling. Subsequent in vitro and in vivo experiments revealed G0S2 plays key roles in promoting the proliferation and invasion of cancer cells. Conclusions In this study, we profiled the transcriptional programs of muscle-invasive HNSCC cell populations and characterized their EMT and myoepithelial-like phenotypes. Furthermore, our findings highlight the presence of muscle-invasion as a predictive marker for HNSCC patients. G0S2 as one of the markers of muscle-invasive cancer cells is involved in HNSCC intravasation, probably via VEGF signalling.

Abstract Purpose This review primarily discusses the current research advance of predictive biomarkers for melanoma immunotherapy. The aim of the present review is to summarize the biomarkers and evaluate the advantages and disadvantages. Methods All reference can be found through Pubmed. This review mainly focuses on three main directions: tumor-related factors, host factors, and the tumor microenvironment. In the end, there exhibits some unusual aspects of predictive biomarkers and forecasts the future model. Results The mainsteam of predictive biomarkers focuses on PD-L1, TMB, gene mutations, immune cells, IDO1, LDH, tertiary lymphoid structures (TLS), HLA-DR, tumor-associated macrophages (TAMs), tumor-infiltrating lymphocytes (TILs), and Extracellular vesicles (EVs). Conclusion The current research advance of predictive biomarkers for melanoma immunotherapy can be mainly divided into three parts: tumor-related factors, host factors, and the tumor microenvironment. The predictive biomarkers include PD-L1, TMB, gene mutations, immune cells, IDO1, LDH, TLS, HLA-DR, TAMs, TILs, and EVs. A model based on multiple biomarkers is expected to become the answer to predicting prognosis.

Background: Allergic asthma is largely dominated by Th2 lymphocytes. Micropeptides in Th2 cells and asthma remain unmasked. Here, we aimed to demonstrate a micropeptide, T-cell regulatory micropeptide (TREMP), in Th2 cell differentiation in asthma. Methods: TREMP translated from lincR-PPP2R5C was validated using Western blotting and mass spectrometry. TREMP knockout mice were generated using CRISPR/Cas9. Coimmunoprecipitation revealed that TREMP targeted pyrroline-5-carboxylate reductase 1 (PYCR1), which was further explored in vitro and in vivo. The levels of TREMP and PYCR1 in Th2 cells from clinical samples were determined by flow cytometry. Results: TREMP, encoded by lincR-PPP2R5C, was in the mitochondrion. The lentivirus encoding TREMP promoted Th2 cell differentiation. In contrast, Th2 differentiation was suppressed in TREMP−/− CD4+ T cells. In the HDM-induced model of allergic airway inflammation, TREMP was increased in pulmonary tissues. Allergic airway inflammation was relieved in TREMP−/− mice treated with HDM. Mechanistically, TREMP interacted with PYCR1, which regulated Th2 differentiation via glycolysis. Glycolysis was decreased in Th2 cells from TREMP−/− mice and PYCR1−/− mice. Similar to TREMP−/− mice, allergic airway inflammation was mitigated in HDM-challenged PYCR1−/− mice. Moreover, we measured TREMP and PYCR1 in asthma patients. And we found that, compared with those in healthy controls, the levels of TREMP and PYCR1 in Th2 cells were significantly increased in asthmatic patients. Conclusions: The micropeptide TREMP encoded by lincR-PPP2R5C promoted Th2 differentiation in allergic airway inflammation by interacting with PYCR1 and enhancing glycolysis. Our findings highlight the importance of neglected micropeptides from noncoding RNAs in allergic diseases.

Background: No data exist on the efficacy and safety of anlotinib plus camrelizumab doublet as second-line therapy for advanced esophageal squamous cell carcinoma (ESCC). Although anlotinib and the programmed death-1 (PD-1) inhibitor camrelizumab are used as treatments for ESCC, the combined use of anlotinib and camrelizumab as a second-line therapy has not been reported. Therefore, this study explored the efficacy and toxicity of anlotinib plus camrelizumab as second-line therapy for advanced ESCC. Methods: Fifty-eight patients with advanced ESCC undergoing second-line therapy, either with anlotinib plus camrelizumab or anlotinib plus S-1, were enrolled and retrospectively analyzed at Jiangsu Province Hospital of Chinese Medicine from January 2020 to December 2021. The primary endpoint was progression-free survival (PFS), with secondary endpoints including the objective response rate (ORR), disease control rate (DCR), and assessment of toxicity. Results: In patients with advanced ESCC, the anlotinib plus camrelizumab group (N = 32) exhibited longer PFS (8.00 vs. 4.53 months, P

Abstract Polymers capable of depolymerizing back to their own monomers offer a promising solution to address the challenges in polymer sustainability. Despite significant progress has been achieved in plastics circularity, chemical recycling of thermoplastic elastomers is relatively less concerned, largely because of their intrinsic complex multicomponents. This work creates a homopolymer-based platform towards chemically recyclable but tough thermoplastic elastomers. It is enabled by a semicrystalline polymer with high molecular weight but low crystallinity, which is prepared through ring-opening metathesis polymerization of a fully biobased cyclic olefin. By shifting the ring−chain equilibrium, quantitative conversions were achieved for both forward polymerization and reverse depolymerization. This simple circular, high-performance thermoplastic elastomer platform based on biomass highlights the importance of monomer design in addressing three challenges in sustainable polymers: the feedstock renewability, depolymerization selectivity, and performance trade-offs.

Failure of oocyte activation, including polyspermy and defects in pronuclear (PN) formation, triggers early embryonic developmental arrest. Many studies have shown that phospholipase C zeta 1 (PLCZ1) mutations cause failure of PN formation following intracytoplasmic sperm injection (ICSI); however, whether PLCZ1 mutation is associated with polyspermy during in vitro fertilization (IVF) remains unknown. Whole-exome sequencing (WES) was performed to identify candidate mutations in couples with primary infertility. Sanger sequencing was used to validate the mutations. Multiple PLCZ1-mutated sperm were injected into human and mouse oocytes to explore whether PN formation was induced. Assisted oocyte activation (AOA) after ICSI was performed to overcome the failure of oocyte activation. We identified three PLCZ1 mutations in three patients who experienced polyspermy during IVF cycles, including a novel missense mutation c.1154C>T, p.R385Q. PN formation failure was observed during the ICSI cycle. However, injection of multiple PLCZ1-mutated sperm induced PN formation, suggesting that the Ca2+ oscillations induced by the sperm exceeded the necessary threshold for PN formation. AOA after ICSI enabled normal fertilization, and all patients achieved successful pregnancies. These findings expand the mutational spectrum of PLCZ1 and suggest an important role for PLCZ1 in terms of blocking polyspermy. Furthermore, this study may benefit genetic diagnoses in cases of abnormal fertilization and provide potential appropriate therapeutic measures for these patients with sperm-derived polyspermy.

Abstract Retinoic acid-inducible gene I (RIG-I) is a pattern recognition receptor involved in innate immunity, but its role in adaptive immunity, specifically in the context of CD8+ T-cell antitumour immunity, remains unclear. Here, we demonstrate that RIG-I is upregulated in tumour-infiltrating CD8+ T cells, where it functions as an intracellular checkpoint to negatively regulate CD8+ T-cell function and limit antitumour immunity. Mechanistically, the upregulation of RIG-I in CD8+ T cells is induced by activated T cells, and directly inhibits the AKT/glycolysis signalling pathway. In addition, knocking out RIG-I enhances the efficacy of adoptively transferred T cells against solid tumours, and inhibiting RIG-I enhances the response to PD-1 blockade. Overall, our study identifies RIG-I as an intracellular checkpoint and a potential target for alleviating inhibitory constraints on T cells in cancer immunotherapy, either alone or in combination with an immune checkpoint inhibitor.

Abstract Non-coding RNAs (ncRNAs), including circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs), are unique RNA molecules widely identified in the eukaryotic genome. Their dysregulation has been discovered and played key roles in the pathogenesis of numerous diseases, including various cancers. Previously considered devoid of protein-coding ability, recent research has revealed that a small number of open reading frames (ORFs) within these ncRNAs endow them with the potential for protein coding. These ncRNAs-derived peptides or proteins have been proven to regulate various physiological and pathological processes through diverse mechanisms. Their emerging roles in disease diagnosis and targeted therapy underscore their potential utility in clinical settings. This comprehensive review aims to provide a systematic overview of proteins or peptides encoded by lncRNAs and circRNAs, elucidate their production and functional mechanisms, and explore their promising applications in cancer diagnosis, disease prediction, and targeted therapy.

Magnetic fields, as a form of physical energy, exert an influence on biological activities. However, our current understanding of the impact of magnetic fields on wheat yield remains limited. In this study, our objective was to investigate the effects of magnetic field treatment of wheat plants on their yield, root growth, absorption of nitrogen and phosphorus and soil bacterial diversity. The experiments were conducted at two agricultural research stations in China, Zhengzhou and Xuchang. Plants were treated with magnetic fields of 20, 40, 60, and 80 mT induced by permanent magnets for chronic exposure. Untreated plants were considered as controls. Our result showed that soil nutrients were found to have a substantial impact on wheat nitrogen and phosphorus absorption, and wheat nitrogen and phosphorus absorption significantly affected wheat yield. The change in soil nutrient content was caused by the change in soil bacterial community diversity and abundance, and increased soil nutrients increased wheat yield. The results suggest that magnetic field treatment stimulated wheat plant growth and yield, and changed soil nutrient content through improved soil bacterial community diversity and increased soil nitrogen and phosphorous absorption.

Abstract The existence of flaws seriously weakens the rock strength, directly affects the crack expansion morphology, and indirectly affects the slope stability. In this study, uniaxial compression tests were carried out on double-flawed granite to investigate the effects of flaw angle on its compressive strength and crack coalescence based on DIC technology and PFC2D numerical simulation. The result indicates that the UCS values of flawed specimens at angles of 15°, 30°, 45°, and 60° are approximately 25.5–51.7% lower than that of the intact specimen. The failure strength of the double-flawed sample increases with the increase of flaw inclination angle, and the fracture morphology shifts from no expansion to split expansion. When the flaw tip strain of each flaw sample exceeded 0.6%, the stress concentration was generated at the flaw tip, and the sample began to appear macroscopic large cracks. DIC technique can well observe the crack initiation and propagation process, recording inclined shear strain bands at flaw tips, tensile strain bands in the middle of flaws, and tensile shear O-shaped strain ring in rock bridge areas. Numerical simulations using PFC2D software were carried out and showed a good agreement with the physical results. In addition, the effect of structural inclination on specimen failure strength is clearly explained by the theory of compressive damage based on the projected size of flaws. The deformation of rock mass is not a simple material deformation but is composed of material deformation and structural deformation. These experimental and numerical results enhance our understanding of crack initiation and coalescence characteristics, aiding in the analysis of rock structure stability in scenarios such as excavated underground openings, slopes, and tunneling construction, where pre-existing cracks or step-path fractures are pivotal to structural integrity.

Abstract Taiwan harbors five endemic species of salamanders (Hynobius spp.) that inhabit distinct alpine regions, contributing to population fragmentation across isolated “sky islands”. With an evolutionary history spanning multiple glacial-interglacial cycles, these species represent an exceptional paradigm for exploring biogeography and speciation. However, a lack of suitable genetic markers applicable across species has limited research efforts. Thus, developing cross-amplifying markers is imperative. Expressed sequence-tag simple-sequence repeats (EST-SSRs) that amplify across divergent lineages are ideal for species identification in instances where phenotypic differentiation is challenging. Here, we report a suite of cross-amplifying EST-SSRs from the transcriptomes of the five Hynobius species that exhibit an interspecies transferability rate of 67.67%. To identify individual markers exhibiting cross-species polymorphism and to assess interspecies genetic diversity, we assayed 140 individuals from the five species across 84 sampling sites. A set of EST-SSRs with a high interspecies polymorphic information content (PIC = 0.63) effectively classified these individuals into five distinct clusters, as supported by discriminant analysis of principal components (DAPC), STRUCTURE assignment tests, and Neighbor-joining trees. Moreover, pair-wise FST values > 0.15 indicate notable between-cluster genetic divergence. Our set of 20 polymorphic EST-SSRs is suitable for assessing population structure within and among Hynobius species, as well as for long-term monitoring of their genetic composition.

Abstract In this study, it is considered that the question of adaptive tracking control of nonlinear systems containing unknown time‐varying parameters. To optimize the control effect, a fixed‐time control strategy is adopted, in which the upper bound of the settling time is connected with the designed parameters, but not to the initial conditions. In the design, the unknown time‐varying parameters are treated as the multiplication of known and unknown vectors, and the adaptive laws are constructed to estimate the mean value of the components in the unknown ones, which availably solve the difficulty of unknown control gains. Besides, the application of command filtered technique, which combined with the compensation signals containing the adaptive parameters, effectively avoids the “complexity explosion” problem. Further, Lyapunov stability theory verifies that the tracking error can always be kept within the boundaries of the performance functions, and converges to a designated neighbourhood of the origin within a fixed time, beyond that all signals of the closed‐loop system are bounded. Finally, the simulation results prove the effectiveness of the proposed control scheme.

The rheological properties of paste are the foundation of the paste-filling process in metal mines, and paste yield stress is an important evaluation index for paste-filling technology. The change in ratio and concentration has a significant impact on the texture and appearance of paste slurry. Herein, a method for predicting the paste yield stress using three-dimensional convolutional neural networks (3D CNNs) is proposed through the development of image acquisition standards and an image acquisition device to collect image data sets based on a paste image data set. The Sobel operator is used to realize the pretreatment of paste edge detection and full size shrinking, and the paste image data set is obtained. The ten-fold cross-validation method is used to divide the data set to avoid accidental errors caused by a single random division. Based on the paste image–yield stress data set, the 3D CNNs model is used to extract the depth features and timing information on the paste. An image enhancement strategy for the histogram equalization algorithm is introduced to reduce the interference of environmental factors. The preprocessed data set is used for training and testing the 3D CNNs network model. In addition, the prediction accuracy of the yield stress model is analyzed: the convolutional attention block module is embedded into the CNN to optimize the model, and the introduction of channel attention and spatial attention enhances the ability of the model to perceive important areas in the image, which helps improve its ability to capture important information in the image and adjust the model parameters. The prediction accuracy of the model is increased from 93.26% to 98.19%, and the sample prediction error is within 20%, demonstrating the feasibility of paste yield stress prediction based on 3D CNNs. The image enhancement strategy using the histogram equalization algorithm can significantly improve the prediction accuracy of paste yield stress. The image enhancement strategy is applied to each model experiment, and the model prediction accuracy is improved by more than 3 percentage points. The developed image acquisition device and image acquisition standard can reduce the disturbance of environmental factors on image recognition and ensure the accuracy of paste yield stress prediction. Compared with the traditional paste rheological measurement method, the proposed method solves the problems of complex operation of traditional paste yield stress measurement, strong interference of external factors, and the difficulties associated with engineering sites.

ObjectiveTo understand the core information awareness of chronic disease prevention and control and its influencing factors among adult residents in Heilongjiang province, and to provide a reference for formulating chronic disease prevention and control strategies and intervention measures. MethodsFrom March to April 2021, a quota sampling method was used to select 5 238 adult residents aged ≥ 18 years old from 10 districts and counties in 8 cities in Heilongjiang province, including Nangang district and Daowai district in Harbin city, Yi’an county in Qiqihar city, Beilin district in Suihua city, Datong district in Daqing city, Luobei county in Hegang city, Huachuan county in Jiamusi city, Muling city and Ning′an city in Mudanjiang city, and Boli county in Qitaihe city, to conduct an online questionnaire survey and analyze the core information awareness of chronic disease prevention and control and its influencing factors among adult residents in Heilongjiang province. ResultsAmong the 5 226 adult residents in Heilongjiang province finally included in the analysis, 3 388 were aware of the core information of chronic disease prevention and control, with an awareness rate of 64.83%; the scoring rates of the dimensions of awareness of the severity of chronic diseases, healthy lifestyles for preventing chronic diseases, core knowledge of hypertension prevention and control, core knowledge of diabetes prevention and control, core knowledge of cardiovascular and cerebrovascular disease prevention and control, identification of cancer risk factors, and core knowledge of chronic respiratory disease prevention and control were 88.88%, 81.92%, 80.95%, 85.72%, 85.07%, 86.80%, and 83.02%, respectively; multivariate unconditional logistic regression analysis showed that adult residents in Heilongjiang province aged ≥ 25 years old and with a junior high school education or above had higher awareness rates of core information on chronic disease prevention and control, while adult residents in Heilongjiang province with occupations of manual labor had lower awareness rates of core information on chronic disease prevention and control. ConclusionThe awareness rate of core information on chronic disease prevention and control among adult residents in Heilongjiang province has reached the 60% target requirement for 2020 in the Medium- and Long-term Plan for the Prevention and Treatment of Chronic Diseases in China (2017 – 2025), but there is still a certain gap from the 70% target for 2025, and there are differences in the awareness levels of core knowledge of chronic diseases in different dimensions, with the lowest scoring rate in the dimension of core knowledge of hypertension prevention and treatment; age, education level, and occupation are the main influencing factors of core information awareness of chronic disease prevention and control among local adult residents.

Abstract Background The present study elucidates a common significant postoperative complication of micropulse transscleral laser treatment (mTLT) and explores its potential management strategies for younger patients with good central vision. Case presentation Three younger Chinese glaucoma patients with good central vision maintained high intraocular pressures (IOPs) (36, 25, and 30 mmHg) on maximally tolerated topical anti-glaucoma medications. All patients were treated with mTLT because of a higher risk of complications with filtering surgery. After the procedure, their best-corrected visual acuities were not significantly changed, IOPs were significantly decreased, and the number of topical anti-glaucoma medicines was gradually decreased. However, all patients complained about reduced near visual acuity (NVA) for 1–5 months. Slit-lamp examination revealed pupillary dilation, and binocular accommodative function examination indicated accommodation loss. After treatment with 2% topical pilocarpine, all patients reported an improvement in NVA. Among them, we could observe pupillary constriction, recovery of accommodation function, and improved NVA, even discontinuation of pilocarpine in Patient 2. Conclusion In younger patients with good central vision, topical pilocarpine might ameliorate accommodation loss and pupillary dilation after mTLT.

Abstract Cyanobacteria are important primary producers, contributing to 25% of the global carbon fixation through photosynthesis. They serve as model organisms to study the photosynthesis, and are important cell factories for synthetic biology. To enable efficient genetic dissection and metabolic engineering in cyanobacteria, effective and accurate genetic manipulation tools are required. However, genetic manipulation in cyanobacteria by the conventional homologous recombination-based method and the recently developed CRISPR-Cas gene editing system require complicated cloning steps, especially during multi-site editing and single base mutation. This restricts the extensive research on cyanobacteria and reduces its application potential. In this study, a highly efficient and convenient cytosine base editing system was developed which allows rapid and precise C → T point mutation and gene inactivation in the genomes of Synechocystis and Anabaena. This base editing system also enables efficient multiplex editing and can be easily cured after editing by sucrose counter-selection. This work will expand the knowledge base regarding the engineering of cyanobacteria. The findings of this study will encourage the biotechnological applications of cyanobacteria.

Abstract Background To explore the capability of diffusion-based virtual MR elastography (vMRE) in the preoperative prediction of recurrence in hepatocellular carcinoma (HCC) and to investigate the underlying relevant histopathological characteristics. Methods Between August 2015 and December 2016, patients underwent preoperative MRI examination with a dedicated DWI sequence (b-values: 200,1500 s/mm2) were recruited. The ADC values and diffusion-based virtual shear modulus (μ diff ) of HCCs were calculated and MR morphological features were also analyzed. The Cox proportional hazards model was used to identify the risk factors associated with tumor recurrence. A preoperative radiologic model and postoperative model including pathological features were built to predict tumor recurrence after hepatectomy. Results A total of 87 patients with solitary surgically confirmed HCCs were included in this study. Thirty-five patients (40.2%) were found to have tumor recurrence after hepatectomy. The preoperative model included higher μ diff and corona enhancement, while the postoperative model included higher μ diff , microvascular invasion, and histologic tumor grade. These factors were identified as significant prognostic factors for recurrence-free survival (RFS) (all p 2.325 kPa showed poorer 5-year RFS after hepatectomy than patients with μ diff values ≤ 2.325 kPa (p

Abstract Background Platinum-resistant or refractory ovarian cancer is a highly lethal gynecologic disease with limited treatment options. Chiauranib is a novel small-molecule selective inhibitor, which could effectively target multiple pathways including Aurora B and CSF-1R to inhibit cell cycle process and improve anti-tumor immune function, as long as VEGF pathway for tumor extinction. Methods A phase II study was sequentially conducted after a phase Ib monotherapy study to evaluate the efficacy of chiauranib combined with chemotherapy. Chinese patients with recurrent ovarian cancer were enrolled. Eligible patients received chiauranib combined with a maximum of six cycles of chemotherapy: etoposide (CE group) or weekly-paclitaxel (CP group). Patients, who exhibited a complete or partial response, or stable disease following combo treatment, progressed to maintenance phase to receive chiauranib monotherapy. Primary endpoint was progression-free survival (PFS) according to RECIST v1.1. Results From November 2017 to March 2019, 25 patients were enrolled in a phase 1b study and a median PFS of 3.7 months (95% CI 1.8–NE) was achieved by chiauranib monotherapy. From July 2019 to December 2020, a total of 47 patients were enrolled in the phase II study. One CP patient did not receive the study drugs, and three patients withdrew before the first tumor assessment. Thus, 43 patients (CE group: 22 patients; CP group: 21 patients) were included in the evaluation. The median PFS was 5·4 months (95% CI 2·8–5·6) and 5·6 months (95% CI 3·4–7·0), respectively. Conclusions This was the first study to evaluate chiauranib, a novel multi-targeted kinase inhibitor in patients with ovarian cancer. The administration of chiauranib along with etoposide or weekly-paclitaxel significantly enhanced the efficacy with manageable adverse events. This warrants further clinical studies on this novel treatment. A phase III study is promising and ongoing. Trial registration ClinicaTrials.gov identifier: NCT03901118 (phase II) and NCT03166891 (phase Ib).

Abstract Organs-on-chips are microphysiological systems that allow to replicate the key functions of human organs and accelerate the innovation in life sciences including disease modeling, drug development, and precision medicine. However, due to the lack of standards in their definition, structural design, cell source, model construction, and functional validation, a wide range of translational application of organs-on-chips remains a challenging. “Organs-on-chips: Intestine” is the first group standard on human intestine-on-a-chip in China, jointly agreed and released by the experts from the Chinese Society of Biotechnology on 29th April 2024. This standard specifies the scope, terminology, definitions, technical requirements, detection methods, and quality control in building the human intestinal model on a chip. The publication of this group standard will guide the institutional establishment, acceptance and execution of proper practical protocols and accelerate the international standardization of intestine-on-a-chip for translational applications.

Abstract It is essential to find environment-friendly agrochemicals to cope with the problems of nutrient imbalance, fruit quality decline, and physiological disorders during apple fruit production, which is beneficial for improving the quality and yield of apple. A natural extract from Paecilomyces variotii (ZNC), an endophytic fungus, has been used widely to enhance crop performance. However, an understanding of the mechanism underlying ZNC-triggered growth and alleviation of nutrient deficiency-associated symptoms in apples remains elusive. Here, the photosynthesis, leaf growth, and fruit quality were enhanced by adding ZNC. In addition, ZNC relieved nutrient deficiency-related symptoms promoted the differentiation of root morphology and vitality, and reduced the accumulation of osmoprotectants and reactive oxygen species, thereby promoting growth under normal and nutrient-deficient conditions. Finally, genome-wide RNA sequencing reveals the ZNC-regulated mechanisms involved in hormone and metal ion pathways. Our study reveals the role of ZNC in promoting growth and improving the quality of apple, providing a new direction for reducing the use of chemical fertilizers and pesticides.

Abstract Complicated peripheral nerve injuries or defects, especially at branching sites, remain a prominent clinical challenge after the application of different treatment strategies. Current nerve grafts fail to match the expected shape and size for delicate and precise branched nerve repair on a case-by-case basis, and there is a lack of geometrical and microscale regenerative navigation. In this study, we develop a sugar painting-inspired individualized multilevel epi-/peri-/endoneurium-mimetic device (SpinMed) to customize natural cues, featuring a selectively protective outer sheath and an instructive core, to support rapid vascular reconstruction and consequent efficient neurite extension along the defect area. The biomimetic perineurium dictates host-guest crosslinking in which new vessels secrete multimerin 1 binding to the fibroin filler surface as an anchor, contributing to the biological endoneurium that promotes Schwann cell homing and remyelination. SpinMed implantation into rat sciatic nerve defects yields a satisfactory outcome in terms of structural reconstruction, with sensory and locomotive function restoration. We further customize SpinMed grafts based on anatomy and digital imaging, achieving rapid repair of the nerve trunk and branches superior to that achieved by autografts and decellularized grafts in a specific beagle nerve defect model, with reliable biosafety. Overall, this intelligent art-inspired biomimetic design offers a facile way to customize sophisticated high-performance nerve grafts and holds great potential for application in translational regenerative medicine.

Abstract Objective This study seeks to explore the impact of fast track surgery (FTS) with three-port in patients treated with laparoscopic radical cystectomy and ileal conduit on postoperative recovery, hospital stay and the complications. Methods This retrospective study analyzed 230 patients with invasive bladder cancer who underwent laparoscopic radical cystectomy at the Second Hospital of Anhui Medical University between December 2011 to January 2023. 50 patients received conventional surgery (CS) and 180 patients received FTS with three-port. Patients were assessed for time to normal diet consumption, time to passing first flatus, number of postoperative recovery days and complications. Trends of serum C-reactive protein levels were monitored preoperatively and on postoperative days 1, 3 and 7. Results Patients who underwent FTS with three-port had a shorter duration to first flatus (P

Abstract To address the low efficiency and high labor demands of manual Codonopsis pilosula cultivation, as well as the limitations of existing flat-type transplanting machines that create trenches of inconsistent depth hindering root growth and seedling emergence, a C. pilosula film-covered outcrop tilted transplanting machine was developed. Based on theoretical analysis of the prototype's key components and agronomic requirements for oblique C. pilosula transplanting, the structure and working parameters of the rotary tiller soil throwing device, soil lifting device, track-type soil conveying device, seedling throwing device, and film covering device were determined. The core components' working principles were analyzed, and the soil throwing process of the rotary tiller device was simulated using the discrete element method (DEM). A calculation domain was established, and the results showed that the average mass of the rotary tiller device was 49.44 kg, while the required soil lifting amount for the scraper-type soil lifting device was 21.84 kg, meeting the soil throwing requirements. Field experiments in 10 test areas demonstrated an average qualified rate of 89.50% for planting depth, 84.00% for planting posture, 90% for exposed plant spacing, 4.51 cm for plant spacing, and 8.67% coefficient of variation for planting spacing. These results meet industry standards for planting depth and planting spacing, confirming the machine's effectiveness in achieving high-quality tilted transplanting of C. pilosula seedlings.

Abstract Planting potatoes through plastic film with incomplete or excessive soil coverage over seed holes significantly impairs yield. Existing covering methods rely solely on mechanical transmissions, leading to bulky and inconsistent soil coverage of the seed holes. This paper reports an innovative method using a precise soil covering device based on the YOLOv4-tiny real-time object detection system to accurately identify potato plastic film holes and cover them with soil. The system adopts a lightweight and high-precision detection scheme, balancing increased network depth with reduced computation. It can identify holes in the plastic film in real-time and with high accuracy. To verify the effectiveness of YOLOv4-tiny real-time object detection system, a precise soil covering device based on this detection system has been designed and applied to a double crank multi-rod hill-drop planter. Field tests revealed that the system's average accuracy rate for detecting holes is approximately 98%, with an average processing time of 15.15 ms per frame. This fast and accurate performance, combined with the device's robust real-time operation and anti-interference capabilities during soil covering, effectively reduce the problems of soil cover omission and repeated covering caused by existing mechanical transmission methods. The findings reported in this paper are valuable for the development of autonomous potato plastic film precise soil covering devices for commercial use.

Abstract Background This study investigated the molecular mechanism of long intergenic non-protein coding RNA 1605 (LINC01605) in the process of tumor growth and liver metastasis of pancreatic ductal adenocarcinoma (PDAC). Methods LINC01605 was filtered out with specificity through TCGA datasets (related to DFS) and our RNA-sequencing data of PDAC tissue samples from Renji Hospital. The expression level and clinical relevance of LINC01605 were then verified in clinical cohorts and samples by immunohistochemical staining assay and survival analysis. Loss- and gain-of-function experiments were performed to estimate the regulatory effects of LINC01605 in vitro. RNA-seq of LINC01605-knockdown PDAC cells and subsequent inhibitor-based cellular function, western blotting, immunofluorescence and rescue experiments were conducted to explore the mechanisms by which LINC01605 regulates the behaviors of PDAC tumor cells. Subcutaneous xenograft models and intrasplenic liver metastasis models were employed to study its role in PDAC tumor growth and liver metastasis in vivo. Results LINC01605 expression is upregulated in both PDAC primary tumor and liver metastasis tissues and correlates with poor clinical prognosis. Loss and gain of function experiments in cells demonstrated that LINC01605 promotes the proliferation and migration of PDAC cells in vitro. In subsequent verification experiments, we found that LINC01605 contributes to PDAC progression through cholesterol metabolism regulation in a LIN28B-interacting manner by activating the mTOR signaling pathway. Furthermore, the animal models showed that LINC01605 facilitates the proliferation and metastatic invasion of PDAC cells in vivo. Conclusions Our results indicate that the upregulated lncRNA LINC01605 promotes PDAC tumor cell proliferation and migration by regulating cholesterol metabolism via activation of the mTOR signaling pathway in a LIN28B-interacting manner. These findings provide new insight into the role of LINC01605 in PDAC tumor growth and liver metastasis as well as its value for clinical approaches as a metabolic therapeutic target in PDAC.

Abstract Objective Self-rated health (SRH) has been documented as an important predictor of quality of life among the elderly and its risk factors are vision-specific among elderly males. The aim of this study was to clarify vision-specific risk factors to SRH among elderly females without dementia in Chinese urban areas. Methods From March to November 2012, 2147 elderly women in Liaoning Province of China were selected using a stratified sampling method. After cognitive screening, 1956 participants without dementia were finally enrolled. A questionnaire including SRH, visual ability and factors including demographic characteristics, physical conditions, lifestyle factors, social psychological status and social activities were analyzed. Multivariate logistic regression was used to clarify the association of SRH with risk factors, while stepwise multivariate logistic regression was used to examine the vision-specific associations with SRH. Results The mean age was 73.6 ± 5.82 (mean ± SD). The percentages of good SRH in good and impaired visual ability groups were 36.2% and 24.4%, respectively. Most characteristics between elderly females with different visual abilities were significantly different. Visual ability had interactions with physical conditions, lifestyle factors and social activities to affect SRH. Among elderly females with good visual ability, depressive symptoms, rather than chronic disease had the strongest association with good SRH followed by marital status, regular diet, going out alone to distant places, taking a walk, smoking and alcohol consumption. In the impaired visual ability group, going out alone to distant places had the strongest association with good SRH followed by chronic disease, filial piety, taking a walk, participating in entertainment, ethnicity, quality of sleep, worrying about falling and alcohol consumption. Conclusions Good SRH status was at a low level especially among elderly females with impaired visual ability and the risk factors differed between elderly females with different visual abilities. Social psychological status was crucial for SRH among elderly females with good visual ability whereas physical conditions were prominent for impaired visual ability group.

Leaf adaxial–abaxial (ad–abaxial) polarity is crucial for leaf morphology and function, but the genetic machinery governing this process remains unclear. To uncover critical genes involved in leaf ad–abaxial patterning, we applied a combination of in silico prediction using machine learning (ML) and experimental analysis. A Random Forest model was trained using genes known to influence ad–abaxial polarity as ground truth. Gene expression data from various tissues and conditions as well as promoter regulation data derived from transcription factor chromatin immunoprecipitation sequencing (ChIP-seq) was used as input, enabling the prediction of novel ad–abaxial polarity-related genes and additional transcription factors. Parallel to this, available and newly-obtained transcriptome data enabled us to identify genes differentially expressed across leaf ad–abaxial sides. Based on these analyses, we obtained a set of 111 novel genes which are involved in leaf ad–abaxial specialization. To explore implications for vegetable crop breeding, we examined the conservation of expression patterns between Arabidopsis and Brassica rapa using single-cell transcriptomics. The results demonstrated the utility of our computational approach for predicting candidate genes in crop species. Our findings expand the understanding of the genetic networks governing leaf ad–abaxial differentiation in agriculturally important vegetables, enhancing comprehension of natural variation impacting leaf morphology and development, with demonstrable breeding applications.

Abstracts Objective The oxidative balance score (OBS) reflects the overall burden of oxidative stress in an individual, with a higher OBS indicating greater antioxidant exposure. This study aimed to explore the association between constipation and OBS. Methods Variables were extracted from participants who completed a constipation questionnaire as part of the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2010. The OBS was developed based on dietary and lifestyle factors, encompassing 16 nutrients and 4 lifestyle variables. Weighted logistic regression and restricted cubic spline (RCS) analyses were employed to evaluate the association between OBS and constipation. Results After adjusting for all covariates, weighted multivariate logistic regression analysis revealed a 4% reduction in the incidence of constipation for each additional unit of OBS (OR: 0.96, 95% CI: 0.95–0.97, p

Abstract Background This study aimed to evaluate the effect of foraminoplasty using large-channel endoscopy during TESSYS on the biomechanics of the lumbar spine. Methods A complete lumbar spine model, M1, was built using 3D finite elements, and models M2 and M3 were constructed to simulate the intraoperative removal of the superior articular process of L5 using a trephine saw with diameters of 5 mm and 8.5 mm, respectively, and applying normal physiological loads on the different models to simulate six working conditions—anterior flexion, posterior extension, left-right lateral bending, and left-right rotation—to investigate the displacement and facet joint stress change of the surgical segment, and the disc stress change of the surgical and adjacent segments. Results Compared with the M1 model, the M2 and M3 models showed decreased stress at the L4-5 left FJ and a significant increase in stress at the right FJ in forward flexion. In the M2 and M3 models, the L4-5 FJ stresses were significantly greater in left lateral bending or left rotation than in right lateral bending or right rotation. The right FJ stress in M3 was greater during left rotation than that in M2, and that in M2 was greater than that in M1. The L4-5disc stress in the M3 model was greater during posterior extension than that in the M1 and M2 models. The L4-5disc stress in the M3 model was greater in the right rotation than in the M2 model, and that in the M2 model was greater than that in the M1 model. Conclusion Foraminoplasty using large-channel endoscopy could increase the stress on the FJ and disc of the surgical segment, which suggested unnecessary and excessive resection should be avoided in PTED to minimize biomechanical disruption.

Abstract Background Information complementarity can be achieved by fusing MR and CT images, and fusion images have abundant soft tissue and bone information, facilitating accurate auxiliary diagnosis and tumor target delineation. Purpose The purpose of this study was to construct high-quality fusion images based on the MR and CT images of intracranial tumors by using the Residual-Residual Network (Res2Net) method. Methods This paper proposes an MR and CT image fusion method based on Res2Net. The method comprises three components: feature extractor, fusion layer, and reconstructor. The feature extractor utilizes the Res2Net framework to extract multiscale features from source images. The fusion layer incorporates a fusion strategy based on spatial mean attention, adaptively adjusting fusion weights for feature maps at each position to preserve fine details from the source images. Finally, fused features are input into the feature reconstructor to reconstruct a fused image. Results Qualitative results indicate that the proposed fusion method exhibits clear boundary contours and accurate localization of tumor regions. Quantitative results show that the method achieves average gradient, spatial frequency, entropy, and visual information fidelity for fusion metrics of 4.6771, 13.2055, 1.8663, and 0.5176, respectively. Comprehensive experimental results demonstrate that the proposed method preserves more texture details and structural information in fused images than advanced fusion algorithms, reducing spectral artifacts and information loss and performing better in terms of visual quality and objective metrics. Conclusion The proposed method effectively combines MR and CT image information, allowing the precise localization of tumor region boundaries, assisting clinicians in clinical diagnosis.