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Abstract Background There are still gaps in the study of the miRNA and its SNPs in some diseases such as non-small cell lung cancer (NSCLC). The study aimed to provide useful information on the treatment of NSCLC by investigating the association between miR-21 and its SNPs and NSCLC susceptibility. Methods The serum of NSCLC patients (n = 205) and cancer-free controls (n = 217) were collected in this study for RNA extraction. The qRT-PCR was used to evaluate the expression of miR-21 and Taqman qPCR was used for genotyping and quantifying miR-21 SNPs (rs1292037, rs6504593). The association of the expression of miR-21, the miR-21 SNPs and their interactions with the susceptibility of NSCLC patients were analysed using logistic regression analysis in this study. Results This study showed that the overexpression of miR-21 was related to NSCLC. The C allele and CC genotypes of rs1292037 and rs6504593 were associated with the increased risk of NSCLC susceptibility. Moreover, the interactions of rs1292037 and rs6504593 were also a risk factor for NSCLC. The CC genotypes of rs1292037 and rs6504593 were associated with the increase of miR-21 expression. Conclusion The overexpression of miR-21, the miR-21 SNPs rs1292037 and rs6504593 and their interactions were associated with NSCLC susceptibility. MiR-21 and its SNPs have potential for being targets in the therapy of NSCLC. This study provided important information for the treatment of NSCLC.

Abstract Background To explore the knowledge, attitudes, and practice (KAP) toward sarcopenia among maintenance dialysis (MHD) patients in Anhui. Methods This multicenter cross-sectional study was conducted in November 2022 among MHD patients in the Anhui Province, China. A self-administered questionnaire was used to collect their demographic characteristics and KAP toward sarcopenia. Results A total of 1548 questionnaires were collected, with 909 (58.72%) being valid. The average knowledge, attitude, and practice scores were 4.45 ± 4.21 (possible range: 0–12), 28.21 ± 3.71 (possible range: 8–40), and 18.04 ± 4.28 (possible range: 7–35) points, respectively. The multivariable logistic regression showed that 5.1–10 years of dialysis (OR = 0.38, 95% CI: [0.15, 0.97]) and attitude scores (OR = 1.36, 95% CI: [1.25, 1.48]) were independently associated with practice. The structural equation model showed that knowledge had a direct effect on attitudes (β = 0.38, 95% CI: [0.33, 0.44]) and practice (β = 0.18, 95% CI: [0.11, 0.24]) and had an indirect effect on practice though attitudes (β = 0.42, 95% CI: [0.35, 0.50]). Conclusion The MHD patients in Anhui showed insufficient knowledge and moderate attitudes and practices toward sarcopenia. Proactive practice might be facilitated and achieved by improving knowledge and attitudes.

Abstract Background Intra-pancreatic fat deposition (IPFD) is linked to metabolic and pancreatic diseases. MRI, while precise, is not cost-effective for routine IPFD screening, highlighting the need for accessible biomarkers. This study aims to analyze the relationships among serum lipid profiles, lipoprotein ratios, and IPFD, with a focus on sex differences. Methods Data from adults at the Affiliated Hospital of Guizhou Medical University between 2018 and 2019 were analyzed. The subjects underwent routine Siemens 64-slice spiral CT scans, and IPFD was quantified via a quantitative computed tomography post-processing station. Lipid panel components were analyzed in the fasted state. Linear regression models stratified by gender were applied to evaluate these associations. Results The study included 1,046 participants after exclusions, with significant sex differences found in the correlations between serum lipids, lipoprotein ratios, and IPFD. In females, remnant cholesterol was strongly associated with total IPFD (R2 = 0.155, P

Abstract Background To evaluate the epidemiological data on the prevalence of frailty and prefrailty in individuals aged 60 years or older on MHD patients. Methods PubMed, Web of Science, Embase, CNKI, WanFang, CBM, and VIP were searched from inception to February 2023 using combinations of subject words and free words. The methodological quality of all the selected studies was assessed using the Joanna Briggs Institute Critical Appraisal of Epidemiological Studies Checklist and Newcastle‒Ottawa Cohort Quality Assessment Scale. Random effects meta-analysis was used to pool estimates from different studies. Subgroup analysis and meta-regression were performed to explore potential sources of heterogeneity. Results Of the 4,190 documents retrieved, 16 observational studies involving 2,446 participants from 8 countries were included in this systematic review. Among older adults receiving MHD, the overall prevalence of frailty and prefrailty was 41% (95% CI = 34–49%) and 37% (95% CI = 26–48%), respectively, with considerable heterogeneity. The pooled prevalence of frailty was greater among individuals aged > 70 years (45%) than among those aged ≤ 70 years (37%). However, subgroup analyses indicated that the confidence intervals for the age group overlap substantially. Conclusion Our research showed that the prevalence of frailty and prefrailty in older patients with MHD are high. Trial registration The PROSPERO registration number for this study was CRD42023442569.

Abstract Background Infectious episodes contribute to morbidity and mortality in patients with anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). Renal involvement, also known as ANCA-associated glomerulonephritis (AGN), is frequently observed in AAV. Little is known about whether co-infection at initial diagnosis is associated with renal outcome and prognosis in children with AGN. Methods Clinical and prognostic data for children admitted to our center with AAV from January 2001 to August 2023 were analyzed retrospectively. We compared the incidence of end-stage renal disease (ESRD) and mortality according to infection status at initial diagnosis. Results A total of 33 children with AGN were included in this study, 22 had an infection at the time of AGN diagnosis. A trend toward higher levels of proteinuria in the infected group than in the non-infected group was observed (p = 0.42). Patients in the infected group had higher creatinine and lower eGFR values than those in the non-infected group (p = 0.09). A significant decrease in HGB was observed in the infected group (p

Automatic crop interpretation can provide important reference information for national agricultural decision-making. However, due to the diverse characteristics and complex spatial relationship of crops, remote sensing images taken from a bird's eye view are insufficient in vertical features of crops, making it difficult to interpret crop types and locations accurately. The similar features and blurred edges between different crops make it difficult to extract crop boundaries accurately. Due to the high memory and computational costs, most of the deep learning-based models face efficiency limitations in real-scenario crop interpretation. To address the abovementioned issues, this article proposes a novel lightweight neural network, namely the CropNet, for crop interpretation. Aiming at the problem of feature similarity among different categories of crops, this article designs a global-local path aggregation (GLPA) mechanism, which uses shallow and deep neural networks to extract global detail information and local high-level information to enhance feature discrimination. An edge context feature enhancement module (ECFEM) is proposed to enhance edge and context feature extraction to address the problem of ambiguous crop edges. Finally, a feature fusion module based on an attention mechanism is used to automatically weigh different feature channels to enhance the crop semantics. To demonstrate the effectiveness of the CropNet proposed in this article, we constructed several sets of comparison experiments comparing it with state-of-the-art deep learning models on a manually labeled vehicle-view crop image dataset. The experimental results show that CropNet has better semantic segmentation results with fewer model parameters and lower computational costs.

This article explored the topics of global exponential stability and synchronization issues of a type of Markovian jumping quaternion-valued neural networks (QVNNs) that incorporate delayed impulses and time-varying delays. By utilizing the matrix measure strategy and delayed differential inequality techniques with an impulsive factor, several effective and practical criteria can be established to confirm that the impulsive QVNNs in question can achieve exponential synchronization with the given response system. Furthermore, the contained exponential convergence rate can be clearly presented. Notably, derived criteria are straightforward to verify and implement in real-world applications. In the end, to demonstrate the accuracy and effectiveness of achieved theoretical findings, one numerical example with an explanation was presented.

Abstract The global gridded crop production dataset at 10 km resolution from 2010 to 2020 (GGCP10) for maize, wheat, rice, and soybean was developed to address limitations of existing datasets characterized by coarse resolution and discontinuous time spans. GGCP10 was generated using a series of adaptively trained data-driven crop production spatial estimation models integrating multiple data sources, including statistical data, gridded production data, agroclimatic indicator data, agronomic indicator data, global land surface satellite products, and ground data. These models were trained based on agroecological zones to accurately estimate crop production in different agricultural regions. The estimates were then calibrated with regional statistics for consistency. Cross-validation results demonstrated the models’ performance. GGCP10’s accuracy and reliability were evaluated using gridded, survey, and statistical data. This dataset reveals spatiotemporal distribution patterns of global crop production and contributes to understanding mechanisms driving changes in crop production. GGCP10 provides crucial data support for research on global food security and sustainable agricultural development.

Abstract Background Cochlear implants have helped over one million individuals restore functional hearing globally, but their clinical utility in suppressing tinnitus has not been firmly established. Methods In a decade-long study, we examined longitudinal effects of cochlear implants on tinnitus in 323 post-lingually deafened individuals including 211 with pre-existing tinnitus and 112 without tinnitus. The primary endpoints were tinnitus loudness and tinnitus handicap inventory. The secondary endpoints were speech recognition, anxiety and sleep quality. Results Here we show that after 24 month implant usage, the tinnitus cohort experience 58% reduction in tinnitus loudness (on a 0–10 scale from 4.3 baseline to 1.8 = −2.5, 95% CI: −2.7 to −2.2, p = 3 x 10−6; effect size d’ = −1.4,) and 44% in tinnitus handicap inventory (=−21.2, 95% CI: −24.5 to −17.9, p = 1 x 10−15; d’=−1.0). Conversely, only 3.6% of those without pre-existing tinnitus develop it post-implantation. Prior to implantation, the tinnitus cohort have lower speech recognition, higher anxiety and poorer sleep quality than the non-tinnitus cohort, measured by Mandarin monosyllabic words, Zung Self-rating Anxiety Scale and Pittsburgh Sleep Quality Index, respectively. Although the 24 month implant usage eliminate the group difference in speech and anxiety measures, the tinnitus cohort still face significant sleep difficulties likely due to the tinnitus coming back when the device was inactive at night. Conclusions The present result shows that cochlear implantation can offer an alternative effective treatment for tinnitus. The present result also identifies a critical need in developing always-on and atraumatic devices for tinnitus patients, including potentially those with normal hearing.

There is an increasing attention on oxidative derivatives of triglycerides, a group of potential thermal processing induced food toxicants, which are formed during the thermal processing of food lipids. This review aims to summarize current knowledge about their formation mechanisms, detection approaches, and toxicology impacts. Oxidative derivatives of triglycerides are generated through the oxidation, cyclization, polymerization, and hydrolysis of triglycerides under high-temperature and abundant oxygen. The analytical techniques, including GC, HPSEC, MS, 1H-NMR were discussed in analyzing these components. In addition, their toxic effects on human health, including effects on the liver, intestines, cardiovascular system, immune system, and metabolism were elucidated. Information in this review could be used to improve the understanding of oxidative derivatives of triglycerides and ultimately improve academic and industrial strategies for eliminating these compounds in thermal processing food systems.

This paper introduces Cladopus yangjiangensis, a newly identified species that enriches our understanding of the diversity of the Podostemaceae in East Asia. Distinctive in its morphological traits, this species is characterized by the region’s longest flowering shoots and exhibits a high number of elongated leaves per cluster, along with relatively slender roots. Phylogenetic analyses using Maximum Likelihood and Bayesian Inference methods on plastome and matK sequences confirm C. yangjiangensis as a distinct species. It forms a clade with C. fukienensis, its closest relative, together branching off from C. austrosinensis. The plastome of C. yangjiangensis is 132,818 bp in length, comprising two inverted repeat regions of 20,881 bp, which are separated by large and small single-copy regions of 78,713 and 12,343 bp, respectively. Genetic analysis reveals the extensive loss of the ycf1 and ycf2 genes in the chloroplast genome, a trait common to the Podostemaceae, suggesting adaptations to environmental conditions or gene transfers to nuclear or mitochondrial genomes. This study improves the clarity of phylogenetic relationships in previous studies and underscores the importance of continued taxonomic and phylogenetic research.

Single-molecule junctions, integrating individual molecules as active components between electrodes, serve as fundamental building blocks for advanced electronic and sensing technologies. The application of ionic liquids in single-molecule junctions represents a cutting-edge and rapidly evolving field of research at the intersection of nanoscience, materials chemistry, and electronics. This review explores recent advances where ionic liquids function as electrolytes, dielectric layers, and structural elements within single-molecule junctions, reshaping charge transport, redox reactions, and molecular behaviors in these nanoscale systems. We comprehensively dissect fundamental concepts, techniques, and modulation mechanisms, elucidating the roles of ionic liquids as gates, electrochemical controllers, and interface components in single-molecule junctions. Encompassing applications from functional device construction to unraveling intricate chemical reactions, this review maps the diverse applications of ionic liquids in single-molecule junctions. Moreover, we propose critical future research topics in this field, including catalysis involving ionic liquids at the single-molecule level, functionalizing single-molecule devices using ionic liquids, and probing the structure and interactions of ionic liquids. These endeavors aim to drive technological breakthroughs in nanotechnology, energy, and quantum research.

Abstract Delta-like Ligand 3 (DLL3) targeting therapies are promising in small cell lung cancer (SCLC) treatment. However, DLL3 expression in SCLC and other neuroendocrine neoplasms (NEN) is heterogeneous and not well characterized. We describe the landscape of DLL3 at the mRNA and protein levels across SCLC, large cell neuroendocrine carcinoma (LCNEC), and non-small cell lung cancer. Additionally, we explore its expression in extra-pulmonary NEN (EP-NEN) using a standardized DLL3 IHC assay. DLL3 expression is enriched in SCLC, LCNEC along with combined histology lung cancers. Moreover, we find a wide range of DLL3 expression in high-grade EP-NEN. We describe heterogenous DLL3 expression not only in SCLC but also in different NEN types. This comprehensive characterization of DLL3 can help guide future clinical trial design targeting DLL3 in NEN including LCNEC and EP-NEN that are lacking standard of care treatment options.

In response to the current challenges of low cutting efficiency and poor surface quality in processing single-crystal silicon, this article proposes the utilization of the micro-discharge abrasive cutting (MDAC) method for processing single-crystal silicon. A comprehensive comparison is conducted among the processing characteristics of the new cutting method and fixed abrasive wire sawing (FAWS) and wire electrical discharge machining (WEDM), including cutting efficiency, surface morphology, subsurface damage, surface roughness, wire saw wear, elemental spectrum analysis, and kerf width. Besides, two material removal modes at different feed rates are discussed. The results indicate that compared with WEDM, MDAC has the advantages of minimal subsurface damage, low surface roughness, low residual elements, and small kerf width. MDAC has higher cutting efficiency and shallower scratch depth than FAWS. However, compared with WEDM and FAWS, MDAC results in more significant wire saw wear and leaves a small amount of residual nickel on the silicon surface. In MDAC, the discharge occurs first. When the discharge energy within the pulse width is sufficient to remove the material within the current pulse cycle, the material is completely removed by the discharge action, the discharge products remain on the surface of the silicon wafer. When the discharge energy is insufficient to remove the material within the current pulse cycle, the silicon ingot is removed under the combined action of discharge and grinding, the diamond on wire saw surface will remove most of the discharge products.

Abstract The interaction between the shock wave and boundary layer of transonic wings can trigger periodic self-excited oscillations, resulting in transonic buffet. Buffet severely restricts the flight envelope of civil aircraft and is directly related to their aerodynamic performance and safety. Developing efficient and reliable techniques for buffet onset prediction is crucial for the advancement of civil aircraft. In this study, utilizing a comprehensive database of supercritical airfoils generated through numerical simulations, a convolutional neural network (CNN) model is firstly developed to perform buffet classification based on the flow fields. After that, employing explainable machine learning techniques, including Gradient-weighted Class Activation Mapping (Grad-CAM), random forest algorithms, and statistical analysis, the research investigates the correlations between supervised CNN features and key physical characteristics related with the separation region, shock wave, leading edge suction peak, and post-shock loading. Finally, physical buffet onset metric is established with good generalization and accuracy, providing valuable guidance for engineering design in civil aircraft.

Abstract Excessive intake of red meat may cause damage to colorectal tissue but not cause significant damage to the small intestine. However, the underlying mechanism is not clear. In this study, the effect of myoglobin extracted from red meat was explored on the intestinal barrier function of the mice, and its potential mechanism was elucidated through cell culture experiments. Exclusively high‐dose myoglobin (3.39%, equivalent to 450 g red meat per day for human) resulted in marked intestinal permeability with increased levels of serum endotoxin, diamine oxidase, and d‐lactate but reduced the mRNA levels of tight junction proteins and mucin 2 in the duodenal and colonic tissues. The diet also increased free iron and heme levels in the duodenal and colonic tissues, leading to higher level of oxidative stress and inflammatory response. Metabolomic analysis of colonic contents showed that exclusively high‐dose myoglobin altered the relative content of indole and its derivatives, phenolic compounds, and 5‐hydroxy‐l‐tryptophan by regulating tryptophan metabolism and kynurenine cycle and destroying intestinal homeostasis. The very high myoglobin hydrolysate induced oxidative stress and apoptosis more seriously in HT29 cells than in INT407 cells, which could be the main reason for more severe colon injury. Nevertheless, normal low‐dose intake (0.38% myoglobin, equivalent to 50 g per day for human) did not show the above‐mentioned harmful effects. The findings provided a risk assessment for the dosage of red meat intake and new insights into the relationship between red meat intake and intestinal health.

Abstract The main aim of this study was to explore the correlation between the platelet/high-density lipoprotein cholesterol ratio (PHR) and cognitive function in elderly individuals from the United States. This investigation leveraged data encompassing 2299 participants, all aged 60 years and above, from the National Health and Nutrition Examination Survey conducted from 2011 to 2014. Inclusion criteria were based on the availability of complete datasets for PHR and cognitive function assessments. The analytical approach incorporated multivariate logistic regression to discern the association between PHR and cognitive function. Additionally, the study employed restricted cubic splines (RCS) to explore potential non-linear relationships and subgroup analyses to identify variations in the observed associations across different demographic and clinical subgroups. In the fully adjusted model, an increment of 10 units in PHR was associated with a decline of 0.014 in cognitive scores (β=-0.014, 95% CI: -0.025, -0.002; P

Abstract Background Intermediate cells are present in the early stages of human prostate development and adenocarcinoma. While primary cells isolated from benign human prostate tissues or tumors exhibit an intermediate phenotype in vitro, they cannot form tumors in vivo unless genetically modified. It is unclear about the stem cell properties and tumorigenicity of intermediate cells. Methods We developed a customized medium to culture primary human intermediate prostate cells, which were transplanted into male immunodeficient NCG mice to examine tumorigenicity in vivo. We treated the cells with different concentrations of dihydrotestosterone (DHT) and enzalutamide in vitro and surgically castrated the mice after cell transplantation in vivo. Immunostaining, qRT-PCR, RNA sequencing, and western blotting were performed to characterize the cells in tissues and 2D and 3D cultures. Results We found intermediate cells expressing AR+PSA+CK8+CK5+ in the luminal compartment of human prostate adenocarcinoma by immunostaining. We cultured the primary intermediate cells in vitro, which expressed luminal (AR+PSA+CK8+CK18+), basal (CK5+P63+), intermediate (IVL+), and stem cell (CK4+CK13+PSCA+SOX2+) markers. These cells resisted castration in vitro by upregulating the expression of AR, PSA, and proliferation markers KI67 and PCNA. The intermediate cells had high tumorigenicity in vivo, forming tumors in immunodeficient NCG mice in a month without any genetic modification or co-transplantation with embryonic urogenital sinus mesenchyme (UGSM) cells. We named these cells human castration-resistant intermediate prostate cancer stem cells or CriPCSCs and defined the xenograft model as patient primary cell-derived xenograft (PrDX). Human CriPCSCs resisted castration in vitro and in vivo by upregulating AR expression. Furthermore, human CriPCSCs differentiated into amplifying adenocarcinoma cells of luminal phenotype in PrDX tumors in vivo, which can dedifferentiate into CriPCSCs in vitro. Conclusions Our study identified and established methods for culturing human CriPCSCs, which had high tumorigenicity in vivo without any genetic modification or UGSM co-transplantation. Human CriPCSCs differentiated into amplifying adenocarcinoma cells of luminal phenotype in the fast-growing tumors in vivo, which hold the potential to dedifferentiate into intermediate stem cells. These cells resisted castration by upregulating AR expression. The human CriPCSC and PrDX methods hold significant potential for advancing prostate cancer research and precision medicine.

Abstract Background Terniopsis yongtaiensis, a member of the Podostemaceae family, is an aquatic flowering plant displaying remarkable adaptive traits that enable survival in submerged, turbulent habitats. Despite the progressive expansion of chloroplast genomic information within this family, mitochondrial genome sequences have yet to be reported. Results In current study, the mitochondrial genome of the T. yongtaiensis was characterized by a circular genome of 426,928 bp encoding 31 protein-coding genes (PCGs), 18 tRNAs, and 3 rRNA genes. Our comprehensive analysis focused on gene content, repeat sequences, RNA editing processes, intracellular gene transfer, phylogeny, and codon usage bias. Numerous repeat sequences were identified, including 130 simple sequence repeats, 22 tandem repeats, and 220 dispersed repeats. Phylogenetic analysis positioned T. yongtaiensis (Podostemaceae) within the Malpighiales order, showing a close relationship with the Calophyllaceae family, which was consistent with the APG IV classification. A comparative analysis with nine other Malpighiales species revealed both variable and conserved regions, providing insights into the genomic evolution within this order. Notably, the GC content of T. yongtaiensis was distinctively lower compared to other Malpighilales, primarily due to variations in non-coding regions and specific protein-coding genes, particularly the nad genes. Remarkably, the number of RNA editing sites was low (276), distributed unevenly across 27 PCGs. The dN/dS analysis showed only the ccmB gene of T. yongtaiensis was positively selected, which plays a crucial role in cytochrome c biosynthesis. Additionally, there were 13 gene-containing homologous regions between the mitochondrial and chloroplast genomes of T. yongtaiensis, suggesting the gene transfer events between these organellar genomes. Conclusions This study assembled and annotated the first mitochondrial genome of the Podostemaceae family. The comparison results of mitochondrial gene composition, GC content, and RNA editing sites provided novel insights into the adaptive traits and genetic reprogramming of this aquatic eudicot group and offered a foundation for future research on the genomic evolution and adaptive mechanisms of Podostemaceae and related plant families in the Malpighiales order.

Abstract Background Reversible splenial lesion syndrome (RESLES) is known as a neuro-imaging syndrome with recurrent but reversible lesion of the corpus callosum, characterized by nonspecific but usually mild encephalopathies and specific imaging manifestations.There are few published reports in the field of oncology. Case presentation A 33-year-old female with right breast cancer and with no particular family history was admitted to hospital with high fever and severe headache, after receiving adjuvant radiotherapy. Blood routine test upon admission suggested neutropenia, considering myelosuppression associated with radiotherapy. There were no definite findings of common pathogenic microorganism, and no imaging indication of certain infectious sites other than a likely reversible corpus callosum syndrome suggested by brain MRI, which was relieved after systemic antibiotic therapy and granulocyte colony-stimulating factor injection. Conclusions Reversible splenial lesion syndrome is a kind of clinical-imaging syndrome with multiple clinical manifestations and etiologies. This breast cancer patient after postoperative adjuvant radiotherapy develops a complication of RESLES that rings an alarm bell to the oncologists not to easily recognize the corpus callosum lesion as infarction or metastasis. Meanwhile, the potential pathogenic mechanisms need to be explored further.

Objectives: This study aimed to identify facilitators and barriers to parent-child communication in pediatric palliative care, providing insights for medical professionals developing targeted interventions to enhance parent-child communication and improve its effectiveness. Methods: Whittemore and Knafl’s integrative review method was employed to guide a systematic search for literature in six databases (Medline, Embase, CINAHL Complete, PsycINFO, Web of Science, and Cochrane Library). Peer-reviewer articles published in the English language from inception to December 2023. All of the identified studies were screened, extracted, and analyzed independently by two researchers. Results: Twenty-four articles were included. The findings of the relevant studies were analyzed using thematic analysis. Four themes were identified as facilitators: legacy-making, resilience training programs, guidance from the healthcare team, and positive communication. Seven themes were identified as barriers: denial, being unprepared and evasive, mutual protection, being overwhelmed by painful emotions and overloaded with information, incorrect views of medical professionals and parents, negative communication, and cultural context. Conclusions: Parents and professionals should avoid myths about protecting the child and encourage open communication that respects the child’s wishes. The specialized pediatric palliative care team should carefully monitor parent-child communication, determine if any obstacles exist, and design more interventions to enhance it.

Rhopalosiphum maidis Fitch, 1856 is widespread in tropical and temperate regions. R. maidis can spread viral diseases in maize and harm various important crops. In the present study, we report the first complete mitochondrial genome of R. maidis. The circular genome is found to be 17,021 bp in length, includes a standard set of 22 transfer RNAs, two ribosomal RNAs, 13 protein-coding genes, and two non-coding control regions. The base composition is 84.32% AT and 15.79% GC. The phylogenetic tree of the 17 Aphidini families constructed based on the nucleotide sequences of complete mitochondrial genomes strongly supports the conclusion that R. maidis is closely related to R. rufiabdominalis.

Abstract Deep learning enhances earthquake monitoring capabilities by mining seismic waveforms directly. However, current neural networks, trained within specific areas, face challenges in generalizing to diverse regions. Here, we employ a data recombination method to create generalized earthquakes occurring at any location with arbitrary station distributions for neural network training. The trained models can then be applied universally with different monitoring setups for earthquake detection and parameter evaluation from continuous seismic waveform streams. This allows real-time Earthquake Early Warning (EEW) to be initiated at the very early stages of an occurring earthquake. When applied to substantial earthquake sequences across Japan and California (US), our models reliably report most earthquake locations and magnitudes within 4 seconds of the initial P-wave arrival, with mean errors of 2.6-7.3 km and 0.05-0.32, respectively. The generalized neural networks facilitate global applications of real-time EEW, eliminating complex empirical configurations typically required by traditional methods.

Chimeric antigen receptor (CAR) T cells have encouraging results in the treatment of hematological malignancies. However, CAR-T therapy still faces numerous challenges against solid tumors, such as hepatocellular carcinoma (HCC), owing to heterogeneous antigen expression in tumor cells, limited persistence of CAR-T cells, etc. Therefore, to treat HCC more effectively, we connected the molecular receptor NKBB to a second-generation glypican-3 (GPC3) CAR to construct GC3328z-NKBB CAR-T cells, which have double specific targets of GPC3 and NKG2DLs (natural killer group 2, member D ligands), dual co-stimulation of CD28 and 41BB, and a single CD3ζ chain. Our study showed that the molecular receptor NKBB conferred GPC3 CAR-T cells with enhanced migration and infiltration abilities towards HCC, higher central memory T (TCM) cell proportion and proliferation capacity, and reduced exhaustion level. GC3328z-NKBB CAR-T cells exhibited improved cytotoxicity against HCC cells and prolonged persistence. The cathepsin L/interleukin-17 (CTSL/IL-17) axis contributed to the superior anti-HCC activity of GC3328z-NKBB CAR-T cells. Overall, the molecular receptor NKBB significantly increased the persistence of GPC3 CAR-T cells, and GC3328z-NKBB CAR-T cells possessed potent anti-HCC activity in mice, providing a new strategy for the potential improvement of adoptive T cell therapy in the treatment of HCC.

Abstract The growing need for flexible and wearable electronics, such as smartwatches and foldable displays, highlights the shortcomings of traditional energy storage methods. In response, scientists are developing compact, flexible, and foldable energy devices to overcome these challenges. MXenes—a family of two‐dimensional nanomaterials—are a promising solution because of their unique properties, including a large surface area, excellent electrical conductivity, numerous functional groups, and distinctive layered structures. These attributes make MXenes attractive options for flexible energy storage. This paper reviews recent advances in using flexible MXene‐based materials for flexible Li−S batteries, metal‐ion batteries (Zn and Na), and supercapacitors. The development of MXene‐based composites is explored, with a detailed electrochemical performance analysis of various flexible devices. The review addresses significant challenges and outlines strategic objectives for advancing robust and flexible MXene‐based energy storage devices.

BackgroundActive dietary flavonoids are a promising resource for novel drug discovery. Sweet potato, a widely cultivated functional crop, is abundant in flavonoids. However, the active ingredients associated with acute myeloid leukemia (AML) treatment and their underlying mechanisms have not been reported to date.ObjectiveThis study aims to identify novel drugs against AML from sweet potato by integrating metabolomics analysis, network pharmacology, and experimental validation.MethodsFirstly, ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was employed to analyze the major constituents in sweet potato. Then, nine active ingredients were selected for validation of their anti-leukemia effects. Subsequently, three of them underwent network pharmacology analyses and in vitro experimental verification. Finally, the anti-leukemia effect of cynaroside was further confirmed through in vivo experimental validation.ResultsFirstly, the flavonoid content of stem, leaves, flesh, and peel from 13 sweet potato cultivars was examined. The leaves of Nanshu 017 exhibited the highest flavonoid content of 2.27% dry weight (DW). Then, an extract derived from these leaves was employed for in vitro experiments, demonstrating significant inhibition of AML cell growth. Subsequently, based on the results of metabolomics analysis and network pharmacology, cynaroside, nepitrin, and yuanhuanin were identified as potential antileukemia agents present in sweet potato for the first time; while CASP3, KDR, EGFR, and SRC were recognized as pivotal targets of these three monomers against AML. Finally, the antileukemia effects of cynaroside, nepitrin, and yuanhuanin were confirmed through in vitro and in vivo experimental validation.ConclusionIn summary, sweet potato leaves extract possesses an antileukemic effect while cynaroside, nepitrin, and yuanhuanin demonstrate potential as treatments for AML.

Background Carotid endarterectomy (CEA) is widely used to treat carotid artery stenosis (CAS). However, the effects of CEA on unilateral CAS‐induced cognitive impairment and the underlying mechanism remain poorly understood. Methods and Results Thirteen patients diagnosed with unilateral severe CAS underwent pre‐ and post‐CEA assessments, including 18fluoro‐2‐deoxy‐d‐glucose positron emission tomography/magnetic resonance imaging, cognitive assessments, and routine blood tests before and after CEA. Unilateral carotid common artery occlusion and ligation release (reperfusion) surgeries were performed in mice to mimic CAS and CEA. Cognitive function, cerebral blood flow, and white matter damage were evaluated in mice using the Morris water maze test, Doppler flowmetry, laser‐speckle imaging, diffusion tensor imaging, Luxol fast blue staining, transmission electron microscopy, and western blot assays post unilateral carotid common artery occlusion and reperfusion. Genomic sequencing of the white matter was performed to explore the potential underlying mechanism. CEA significantly enhanced the Montreal Cognitive Assessment scores in patients with CAS and preoperative cognitive impairment. Moreover, CEA led to notable improvements in cerebral blood flow, energy metabolism, and white matter integrity, while concurrently reducing blood inflammation. In the mouse model, reperfusion surgery alleviated cognitive deficits, increased cerebral blood flow, and alleviated white matter damage following unilateral carotid common artery occlusion. Furthermore, transcriptional surveys have revealed substantial alterations in the upregulation of Nrf2 signaling and metabolic pathways, coupled with the inhibition of neuroinflammation, cellular communication, and immune cell population signaling following reperfusion. Conclusions CEA ameliorated CAS‐induced cognitive dysfunction by improving the cerebral functional structure. These beneficial effects may be attributed to their antioxidant and anti‐inflammatory properties.

BackgroundTranscutaneous vagus nerve stimulation (tVNS) has emerged as a novel noninvasive adjunct therapy for advanced Parkinson’s disease (PD), yet no quantitative analysis had been conducted to assess its therapeutic effect.ObjectivesThis review aimed to investigate the efficacy of tVNS on motor function, other potential clinical targets and its safety in various treatment conditions.MethodsWe searched six databases for randomized controlled trials (RCTs) that involved treating PD patients with tVNS. Primary outcome was motor functions, including severity of motor signs, functional mobility and balance, and gait parameters. Secondary outcomes were cognition, emotion, sleep related impairments, patient reported non-motor outcomes, and any adverse events. All outcomes were classified and analyzed according to the treatment duration and medication condition of an included study. Risk of bias was evaluated by referencing Cochrane risk of bias tool 1.0. Data was analyzed by Revman 5.4.Results6 RCTs with 176 PD patient were included. Several motor functions and non-motor functions measured during on-medication condition (severity of motor signs −0.48 [95% CI −0.93, −0.04], gait −0.48 [95% CI −0.85, −0.1], patients reported non-motor outcomes −0.4 [95% CI −0.78, −0.03]), improved significantly. However, verbal fluency, sleep-related impairment, and fatigue were negatively impacted by tVNS during on-medication condition. No distinct adverse events were reported.ConclusiontVNS is a relatively safe adjunct treatment for PD. It has small to moderate therapeutic effects on motor functions and may negatively impact on a few other outcomes. Quality level of the evidence is low and further research is warranted.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/#recordDetails, identifier CRD42024503322 (PROSPERO).

Light provides the necessary energy for plant photosynthesis, which allows plants to produce organic matter and energy conversion, during plant growth and development. Light provides material energy to plants as the basis for cell division and differentiation, chlorophyll synthesis, tissue growth and stomatal movement, and light intensity, photoperiod, and light quality play important roles in these processes. There are several regulatory mechanisms involved in sugar metabolism in plants, and light, as one of the regulatory factors, affects cell wall composition, starch granules, sucrose synthesis, and vascular bundle formation. Similarly, sugar species and genes are affected in the context of light-regulated sugar metabolism. We searched the available databases and found that there are fewer relevant reviews. Therefore, this paper provides a summary of the effects of light on plant growth and development and sugar metabolism, further elaborates on the mechanisms of light effects on plants, and provides some new insights for a better understanding of how plant growth is regulated under different light conditions.

Abstract Gaining deep understanding and effective regulation of the charge transport mechanism within molecular junctions is essential for the development of electronic devices. In this work, a series of hexabenzocoronene‐based single‐molecule junctions are successfully constructed, and their temperature‐dependent charge transport properties are studied. It is found that rotational vibrations of both benzene and hexabenzocoronene rings are sequentially excited as the temperature increases, and the electron‐vibration coupling enhances charge tunneling. In addition, the transition temperature between distinct vibration‐assisted tunneling modes and the activation energies show strong correlations with the molecular vibration frequency and molecular length. This study unveils the distinct dual‐vibration‐assisted molecular tunneling mechanism, significantly enhancing the ability to precisely control molecular charge transport and develop functional molecular devices.

The development of artificial intelligence (AI) based medical Internet of Things (IoT) technology plays a crucial role in making the collection and exchange of medical information more convenient. However, security, privacy, and efficiency issues during information exchange have become pressing challenges. While many scholars have proposed solutions based on AI and blockchain to address these issues, few have focused on the impact of the slow consensus algorithm of blockchain on the efficiency of information exchange. To improve the efficiency of information exchange, we propose an information exchange approach based on AI and DAG-enabled blockchain, providing a secure and efficient environment for information exchange in the medical IoT. Additionally, to enhance the efficiency of information exchange in the medical IoT, a novel tip selection algorithm is introduced to reduce the time delay in reaching consensus, thereby enabling faster acquisition of trusted information via blockchain. Simulation results demonstrate that compared to methods based on traditional DAG-enabled blockchain, the approach proposed in this paper improves the efficiency of information exchange.

Food safety is directly related to the health of the public, and the safety of condiments is also of great significance. In this study, a risk assessment model for condiments based on gray correlation analysis was established by using publicly available sampling data of soy sauce and vinegar in China. Risk indicator screening and data preprocessing were performed first, and the weight of each indicator was calculated by gray correlation analysis to formulate a comprehensive risk value label. Then, three machine learning models, Deep Neural Network (DNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost), were used to predict the comprehensive risk values. Finally, the fuzzy synthesis analysis was utilized to classify the risk level of the composite risk value. In this study, based on the analysis of 282 sets of soy sauce and 704 sets of vinegar samples, the trained DNN model has the optimal prediction performance, which can basically predict the comprehensive risk value and risk level of a sample by inputting the detection indexes of that sample. This method can provide a more reasonable basis for relevant departments to formulate risk control strategies.

Lewis base additives typically undergo interactions with SnI2 to achieve effective defect passivation in lead-free perovskite films. In this work, the thiophene ring in 2-thiophenethylammonium chloride (TEACl) has coordination interactions with Sn2+ and the -NH3+ therein forms hydrogen bonds with I-. This facilitates the deposition of homogeneous and dense films with fewer defects during crystallization process. Otherwise, 2-pyridinethylammonium chloride (AEPCl) gives poorly perovskite films with high defect density because of the overly strong interaction with SnI2. As a result, the average photoluminescence life time of TEACl-passivated perovskite film was substantially increased to 22.04 ns, compared with the control film (5.15 ns) and the AEPCl-passivated film (3.55 ns). Ultimately, the target solar cell with TEACl passivation presented a power conversion efficiency of 13.24% and excellent shelf-stand stability with a 90% retaining of initial efficiency after 2000 h of aging in N2 atmosphere. This work sheds new light on the structural tailoring of Lewis base passivators for efficient defect passivation in lead-free tin halide perovskites.

Bestrophin isoform 4 (BEST4) is a newly identified subtype of the calcium-activated chloride channel family. Analysis of colonic epithelial cell diversity by single-cell RNA-sequencing has revealed the existence of a cluster of BEST4+ mature colonocytes in humans. However, if the role of BEST4 is involved in regulating tumour progression remains largely unknown. In this study, we demonstrate that BEST4 overexpression attenuates cell proliferation, colony formation, and mobility in colorectal cancer (CRC) in vitro, and impedes the tumour growth and the liver metastasis in vivo. BEST4 is co-expressed with hairy/enhancer of split 4 (HES4) in the nucleus of cells, and HES4 signals BEST4 by interacting with the upstream region of the BEST4 promoter. BEST4 is epistatic to HES4 and downregulates TWIST1, thereby inhibiting epithelial-to-mesenchymal transition (EMT) in CRC. Conversely, knockout of BEST4 using CRISPR/Cas9 in CRC cells revitalises tumour growth and induces EMT. Furthermore, the low level of the BEST4 mRNA is correlated with advanced and the worse prognosis, suggesting its potential role involving CRC progression.

Rapeseed (Brassica napus L.) is a major agricultural crop with diverse applications, particularly in the production of seed oil for both culinary use and biodiesel. However, its photosynthetic efficiency, a pivotal determinant of yield, remains relatively low compared with other C3 plants such as rice and soybean, highlighting the necessity of identifying the genetic loci and genes regulating photosynthesis in rapeseed. In this study, we investigated 5 photosynthesis traits and 5 leaf morphology traits in a natural population of rapeseed, and conducted a genome-wide association study (GWAS) to identify significantly associated loci and genes. The results showed that the gas-exchange parameters of the dark reactions in photosynthesis exhibited a significant positive correlation with the chlorophyll content, whereas they showed a weaker negative correlation with the leaf area. By GWAS, a total of 538 quantitative trait nucleotides (QTNs) were identified as significantly associated with traits related to both leaf morphology and photosynthesis. These QTNs were classified into 84 QTL clusters, of which, 21 clusters exhibited remarkable stability across different traits and environmental conditions. In addition, a total of 3,129 potential candidate genes were identified to be significantly associated with the above-mentioned 10 traits, most of which were shared by certain traits, further indicating the reliability of the findings. By integrating GWAS data with GO enrichment analysis and gene expression analysis, we further identified 8 key candidate genes that are associated with the regulation of photosynthesis, chlorophyll content, leaf area, and leaf petiole angle. Taken together, this study identified key genetic loci and candidate genes with the potential to improve photosynthetic efficiency in rapeseed. These findings provide a theoretical framework for breeding new rapeseed varieties with enhanced photosynthetic capabilities.

Psoriatic arthritis (PsA) affects approximately one in five individuals with psoriasis. Early identification of patients with psoriasis at risk of developing PsA is crucial to prevent poor prognosis. We established a derivation cohort comprising 1,661 patients with psoriasis from 49 hospitals. Clinical and demographic variables ascertained at hospital admission were screened using the Least Absolute Shrinkage and Selection Operator and logistic regression to construct a prediction model and a new web-based calculator. Ultimately, six significant independent predictors were identified: history of unexplained swollen joints (odds ratio [OR]: 5.814, 95% confidence interval [95% CI]: 3.304–10.117; p< 0.001), history of arthritis (OR: 3.543, 95% CI: 1.982–6.246; p< 0.001), history of unexplained swollen and painful fingers or toes (OR: 2.707, 95% CI: 1.463–4.915; p = 0.001), nail involvement (OR: 1.907, 95% CI: 1.235–2.912; p = 0.003), hyperlipidemia (OR: 4.265, 95% CI: 0.921–15.493; p = 0.042), and prolonged topical use of glucocorticosteroids (OR: 1.581, 95% CI: 1.052–2.384, p = 0.028). The web-based calculator derived from this model can assist clinicians in promptly determining the probability of developing PsA in patients with psoriasis, thereby facilitating improved clinical decision-making.

The application of machine learning in crop yield prediction has gained considerable traction, yet uncertainties persist regarding the impact of the yield trends on these predictions and the differences between the detrending methods. In our study, we utilized extreme gradient boosting (XGBoost) to scrutinize the effects of no trend processing (NTP), input year as a feature (IYF), input average yield as a feature (IAYF), input linear yield as a feature (ILYF), and the global detrending method (GDT) on the yield prediction of maize and soybean in the Midwestern United States. Based on our findings, compared with that of NTP, the incorporation of the yield trend as a predictor in XGBoost significantly improved the accuracy and reduced the uncertainty of the yield prediction. Notably, GDT emerged as a standout performer, significantly reducing the average yield prediction error by 0.091 t/ha for soybean and 0.158 t/ha for maize with respect to NTP, and concurrently improving the determination coefficient (R2) by 20.6% and 19.6% for soybean and maize, respectively. Compared with IYF, IAYF, and ILYF, GDT showed substantial improvements ranging from 3.8% to 12.7% in R2 for soybean and 3.6% to 12.7% for maize. The SHapley Additive ExPlanations (SHAP) framework showed that the enhanced vegetation index (EVI), particularly during the soybean podding and maize dough formation stages, played a crucial role in understanding the variations in interannual yield variability. These findings confirmed the importance of GDT in crop yield prediction via machine learning and could be used to facilitate future advancements in machine learning applications for yield forecasting.

Tumor-derived exosomes bind to organ resident cells, activating S100 molecules during the remodeling of the local immune microenvironment. However, little is known regarding how organ resident cell S100A10 mediates cancer metastatic progression. Here, we provided evidence that S100A10 plays an important role in regulating the lung immune microenvironment and cancer metastasis. S100A10-deficient mice reduced cancer metastasis in the lung. Furthermore, the activation of S100A10 within lung fibroblasts via tumor-derived exosomes increased the expression of CXCL1 and CXCL8 chemokines, accompanied by the myeloid-derived suppressor cells (MDSCs) recruitment. S100A10 inhibitors such as 1-Substituted-4-Aroyl-3-hydroxy-5-Phenyl-1 H-5-pyrrol-2(5 H)-ones inhibit lung metastasis in vivo. Our findings highlight the crucial role of S100A10 in driving MDSC recruitment in order to remodel the lung immune microenvironment and provide potential therapeutic targets to block cancer metastasis to the lung.

This study was conducted to investigate the hydrostatic stability of a steel slag porous asphalt mixture (SSPA) under freeze-thaw cycles in seasonal frozen soil areas and thereafter, compare its (SSPA) characteristic properties and advantages with a traditional porous asphalt pavement. In the study, the freeze-thaw stability of SSPA was tested through multiple freeze-thaw cycle splitting, scattering loss, and trabecular bending tests under various cyclic temperature water immersion conditions including quantitatively analyzing the SSPA volumetric changes. In addition, the scanning electron microscope (SEM) and energy dispersive spectrometer (EDS) tests were used to analyze the microscopic damage mechanism of SSPA after being subjected to various cyclic temperature water immersion conditions. The corresponding test results indicated that: (a) the long-term freeze-thaw cycles had significant adverse effects on the hydrostatic stability, physical/mechanical properties, and volume stability of SSPA; and (b) when the melting temperature was increased, both the hydrostatic stability and mass gain/loss ratio of SSPA decreased whilst the void ratio increased. On the other hand, the SEM and EDS results showed that an increase in the number of freeze-thaw cycles or melting temperature led to a corresponding increase in the width of the steel slag-asphalt transition zone. This resulted in a weakening of the mechanical connection and anchorage between steel slag and asphalt, as well as the destruction of their adhesion bond. However, the short-term freeze-thaw cycles had little effect on the hydrostatic stability of SSPA because the steel slag-asphalt interfacial strength was enhanced by short-term freeze-thaw cycles.

Objective The relationship between vitiligo and cardiovascular diseases remains controversial. This study aimed to systematically review the evidence comparing cardiovascular disease risk factors between patients with vitiligo and controls and to perform a meta-analysis of the results.Data sources A comprehensive database search was performed for all studies in PubMed, EMBASE, and Cochrane Central Register databases from inception to November, 2023. The main keywords used were vitiligo, hypertension, diabetes, hyperlipidemia, metabolic syndrome, obesity, smoking, alcohol consumption, C-reactive protein, and homocysteine.Study selection Only observational studies and no randomized controlled trials were included. Of the 1269 studies initially selected, the full texts of 108 were assessed for eligibility, and 74 were ultimately included in the analysis.Data extraction and synthesis Three reviewers independently extracted the following data: study design, number and characteristics of participants, inclusion indicators, and disease duration. A meta-analysis of the single-group rates was performed for the diabetes, hypertension, hyperlipidemia, and obesity groups. Random-effects or fixed-effects models were used to calculate the sample-size weighted averages for the indicators included in the studies.Main outcomes and measures The primary outcomes were co-morbidity analysis and co-morbidity rates of vitiligo with metabolic syndrome, obesity, hyperlipidemia, hypertension, and diabetes mellitus. Secondary outcomes were factors associated with vitiligo and cardiovascular disease.Results This meta-analysis concluded that comorbidities in patients with vitiligo included metabolic syndrome, diabetes, obesity, hyperlipidemia, and hypertension, with comorbidity rates of 28.3%, 6.0%, 38.5%, 43.0%, and 15.8%, respectively. Simultaneously, we showed that the vitiligo group differed significantly from the control group in the following aspects: fasting blood glucose, insulin, systolic and diastolic blood pressure, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein, homocysteine, C-reactive protein, smoking, and alcohol consumption. However, no significant differences were observed between the vitiligo and control groups in terms of waist circumference, body mass index, or phospholipid levels.Limitations The vast majority of the studies were from Eastern countries; therefore, extrapolation of these results to Western populations is questionable. The significant heterogeneity may be due to different protocols, doses, durations, center settings, population registries, etc., which severely compromise the validity of the results.Conclusion This study summarized not only the factors associated with, but also those not associated with, cardiovascular disease in patients with vitiligo. This study provides a foundation for the prevention and treatment of cardiovascular disease in patients with vitiligo.

Background Indigo naturalis is effective against psoriasis. Indigo, indirubin and tryptanthrin, the main active components of indigo naturalis, have anti-inflammatory properties.Objective To evaluate the efficacy and safety of indigo naturalis and its active components in the treatment of psoriasis.Methods Seven databases were searched for studies of indigo naturalis and its active components for the treatment of psoriasis.Results The findings demonstrated a higher response rate in the Chinese herbal medicine (CHM) formula groups than in the control group for Psoriasis Area and Severity Index 60 (PASI60) (Rate difference [RD] = 0.22, p

Abstract Due to high computation complexity, traditional design methods for LLC converter usually consider limited kinds of performance, and the process for searching the optimal parameter scheme is discrete, which might cause the missing of real optimal solution. In order to solve these problems, a multi‐objectives optimization design method for the LLC converter is proposed in this paper. According to the numerical calculation method, a closed parameter space for resonant parameters is established under the constraints of operation mode, switching frequency, zero voltage switching (ZVS), and voltage stress of resonant capacitor. Besides, the root‐mean‐square (RMS) value of resonant current and secondary current, as well as the core loss of the transformer, are selected as the optimization objectives. Non‐dominated sorting genetic algorithm (NSGA‐II) is utilized to deal with these multi‐objective formulations. In order to reduce the computation complexity, a data‐driven method, called adaptive polynomial approximation (APA), is selected to obtain the explicit expressions of the parameter space and the optimization objectives. Then, by substituting this simplified surrogate model into the NSGA‐II algorithm, the optimal parameter scheme is obtained. The comprehensive comparison analysis is performed, and a 400 W/48 V experimental prototype was built to verify the theoretical analysis, which shows that the proposed method features the highest efficiency of 95%.

Abstract Objective To develop a machine learning-based risk prediction model for postoperative parastomal hernia (PSH) in colorectal cancer patients undergoing permanent colostomy, assisting nurses in identifying high-risk groups and devising preventive care strategies. Methods A case-control study was conducted on 495 colorectal cancer patients who underwent permanent colostomy at the Second Affiliated Hospital of Anhui Medical University from June 2017 to June 2023, with a 1-year follow-up period. Patients were categorized into PSH and non-PSH groups based on PSH occurrence within 1-year post-operation. Data were split into training (70%) and testing (30%) sets. Variable selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, and binary classification prediction models were established using Logistic Regression (LR), Support Vector Classification (SVC), K Nearest Neighbor (KNN), Random Forest (RF), Light Gradient Boosting Machine (LGBM), and Extreme Gradient Boosting (XgBoost). The binary classification label denoted 1 for PSH occurrence and 0 for no PSH occurrence. Parameters were optimized via 5-fold cross-validation. Model performance was evaluated using Area Under Curve (AUC), specificity, sensitivity, accuracy, positive predictive value, negative predictive value, and F1-score. Clinical utility was evaluated using decision curve analysis (DCA), model explanation was enhanced using shapley additive explanation (SHAP), and model visualization was achieved using a nomogram. Results The incidence of PSH within 1 year was 29.1% (144 patients). Among the models tested, the RF model demonstrated the highest discrimination capability with an AUC of 0.888 (95% CI: 0.881–0.935), along with superior specificity, accuracy, sensitivity, and F1 score. It also showed the highest clinical net benefit on the DCA curve. SHAP analysis identified the top 10 influential variables associated with PSH risk: body mass index (BMI), operation duration, history and status of chronic obstructive pulmonary disease (COPD), prealbumin, tumor node metastasis (TNM) staging, stoma site, thickness of rectus abdominis muscle (TRAM), C-reactive protein CRP, american society of anesthesiologists physical status classification (ASA), and stoma diameter. These insights from SHAP plots illustrated how these factors influence individual PSH outcomes. The nomogram was used for model visualization. Conclusion The Random Forest model demonstrated robust predictive performance and clinical relevance in forecasting colonic PSH. This model aids in early identification of high-risk patients and guides preventive care.

Abstract Background With the fast pace of modern life, people have less time for meals, but few studies have examined the association between the habit of fast eating and metabolic diseases. Objective Combining the results of the current study and the prior ones, we aimed to investigate the possible relationship between fast eating and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD). Methods This is a sub-analysis of a multicenter cross-sectional study of 1965 participants investigated the association between fast eating and MASLD in Chinese. Fast eating was defined as meal time less than five minutes and participants were divided into three categories based on their self-reported frequency of fast eating: ≤1 time/month, ≤1 time/week and ≥2 times/week. We further conducted a literature search for available studies published before November, 2023 as well as a meta-analysis to investigate the association between fast eating and MASLD. Results The proportion of MASLD was 59.3%, 50.5%, and 46.2% in participants with fast eating ≥2 times/week, ≤1 time/week and ≤1 time/month, respectively (P for trend

Abstract Nonalcoholic fatty liver disease (NAFLD) is a common chronic liver disease worldwide. Osteocalcin plays an important role in energy metabolism. In this study, we investigated the mechanism of action of chemically synthesized osteocalcin (csOCN) in ameliorating NAFLD. We demonstrated for the first time that csOCN attenuates lipid accumulation in the liver and hepatocytes by modulating CD36 protein expression. In addition, we found that the expression of p-AMPK, FOXO1 and BCL6 decreased and the expression of CD36 increased after OA/PA induction compared to the control group, and these effects were reversed by the addition of csOCN. In contrast, the therapeutic effect of csOCN was inhibited by the addition of AMPK inhibitors and BCL6 inhibitors. This finding suggested that csOCN regulates CD36 expression via the AMPK-FOXO1/BCL6 axis. In NAFLD mice, oral administration of csOCN also activated the AMPK pathway and reduced CD36 expression. Molecular docking revealed that osteocalcin has a docking site with CD36. Compared to oleic acid and palmitic acid, osteocalcin bound more strongly to CD36. Laser confocal microscopy results showed that osteocalcin colocalized with CD36 at the cell membrane. In conclusion, we demonstrated the regulatory role of csOCN in fatty acid uptake pathways for the first time; it regulates CD36 expression via the AMPK-FOXO1/BCL6 axis to reduce fatty acid uptake, and it affects fatty acid transport by may directly binding to CD36. There are indications that csOCN has potential as a CD36-targeted drug for the treatment of NAFLD.

Abstract In 2022, the Event Horizon Telescope (EHT) collaboration has reported the first observations of Sagittarius A*(SgrA*). Applying the EHT observational results, we find out constraints on non-singular Hayward parameter of regular dark energy black hole. Considering these constraints and different thin disk accretion, we present a detailed investigation into influence of different dark energy and Hayward parameters on shadows from non-singular Hayward black holes. In the first second-order attenuation function model, corresponding shadow radius and peak for observed intensity from direct image decrease with increasing dark energy parameter and Hayward parameter. However, for the lensing ring and photon ring, corresponding peak become bigger as dark energy parameter increase in case of fixed Hayward parameter. In the second third-order attenuation function model, significantly different from model 1, above two rings completely overlay on the direct image, resulting in two distinct peaks in the observed intensity. As increase of Hayward and dark energy parameters, the difference between the two peaks decreases, and shadows and observed intensity decrease. In the final inverse trigonometric function attenuation model, the result shows corresponding lensing ring as well as photon ring can be distinguished within the superposition region, and the superposition region becomes larger. With the increase of the dark energy parameter, the shadow radius exhibits a decreasing trend, while observed intensity increases. However, with the increase of the Hayward parameter, both decreases. Compared with the first two models, the shadow radius becomes smaller, but the observed intensity becomes larger, making the bright ring wider and brighter. Therefore, different accretion models and non-singular Hayward parameters can give rise to interesting and distinguish characteristic for the black hole shadow and rings.

We used the quantile vector autoregressive (QVAR) dynamic connectedness framework to examine whether leading stock markets in America and Europe would have any impact on major stock markets in Asia.1 More precisely, we analyzed systematically the stock market connectedness in 15 countries, namely Germany, the UK, the USA, and 12 Asian countries, which include five major ASEAN countries, namely Indonesia, Malaysia, Philippines, Singapore, and Thailand from 1996 to 2023. The findings indicated that Hong Kong and Singaporean stocks were major transmitters of financial shocks at the extreme low price market condition, while Germany and UK were minor transmitters. By contrast, the USA could be considered the major transmitter of financial shock during the extreme high market price returns condition. In the normal market condition, these three countries in Europe and America are important transmitters of financial shock. More interestingly, the empirical findings indicated the centrality of Singapore in the stock market connectedness in Asia. 1 The authors are grateful to Professor David Gabauer who makes available the R codes for all calculations in this paper.

【Objective】The study was carried out to establish a technical system suitable for tissue culture and rapid propagation of Pholidota chinensis Lindl.【Method】With the whole plant of P. chinensis Lindl as test material, the growth of explants was studied, the best explant and culture medium were selected, and the culture conditions such as seed germination and seedling proliferation were optimized.【Result】The best explant for tissue culture of P. chinensis Lindl. was the seed, and its roots, rhizomes and pseudobulbs did not germinate, but the seeds could germinate. The optimum culture formula of P. chinensis Lindl. was 1/2MS + 6-BA 1.5 mg/L + NAA 0.8 mg/L+6-KT 0.1 mg/L and the protocorm of P. chinensis Lindl. turned green under this condition. The organic matter selection of strong seedlings was conducted by adding banana puree (50 g/L), mashed potato (50 g/L) and coconut water (50 mL/L) to the basal medium, and it was found that the overall growth of P. chinensis Lindl. in the medium with banana puree was good and uniform with many pseudobulbs, and the plant height and leaf length were better than those of the P. chinensis Lindl. with mashed potato or coconut water added to the medium. Finally, 50 g/L banana puree was selected as the best organic matter added to the medium in the subsequent experiment. The best culture formula for the optimization of strong seedlings was 1/2MS + 50 g/L banana puree + 6-BA 0.5 mg/L + NAA 0.5 mg/L + 6-KT 0.3 mg/ L. Under this condition, the P. chinensis Lindl. grew well and the plant height was better. The best medium formula for rooting of strong seedlings was MS + 50 g/L banana puree + IBA 0.5 mg/L + NAA 0.5 mg/L. Under this condition, there were more pseudobulbs and more aerial roots on the seedlings.【Conclusion】To establish a technical system suitable for tissue culture and rapid propagation of P.chinensis Lindl. seeds, the best formula for the germination culture of P. chinensis Lindl. seeds is 1/2MS + 6-BA 1.5 mg/L + NAA 0.8 mg/L+6-KT 0.1 mg/L; the optimum culture formula for the optimization of strong seedlings is 1/2MS + 50 g/L banana puree + 6-BA 0.5 mg/L + NAA 0.5 mg/L + 6-KT 0.3 mg/L; the best medium formula for rooting is MS + 50 g/L banana puree + IBA 0.5 mg/L + NAA 0.5 mg/L. The study results lay a foundation for the resource conservation and utilization of P. chinensis Lindl. and its large-scale production.

Abstract How to raise the bridge barrier with a concrete base height of only 51 cm to SS level of protection is not yet studied. In order to effectively retrofit an existing concrete barrier design to meet new crash testing criteria, the structural dimensions and concrete strength of the existing bridge barrier were investigated, and finite element simulation analysis was carried out, and simulation suggested the existing barrier was insufficient. Based on the structural dimension design principles of bridge barriers, the existing structure of bridge barrier was designed after adding lightweight and high-strength B750HL material crossbeams and posts on top of the concrete base, and the bearing capacity of the bridge barrier was calculated based on the yield line theory. Then, a finite element simulation analysis model was established to study and analyze the blocking, guiding, and cushioning functions of the improved design of bridge barrier. Finally, full-scale-vehicle crash tests were conducted with the SS-level small car, bus, and tractor-van trailer for this bridge barrier design scheme. This paper is the world’s first to use B750HL steel as the material for the crossbeam and post of a bridge barrier with a concrete base height of only 51 cm. According to the research results, the B750HL bridge barrier, which was designed based on the calculation of structural dimension design and yield line theory, effectively reduces the increased constant load on the bridge deck caused by the extra crossbeams and posts. At the same time, it can reduce material costs and save engineering costs. After being verified by finite element simulation crash tests and full-scale-vehicle crash tests, the protective capacity of the B750HL bridge barrier was proven to meet the SS-level evaluation requirements of the Standard for Safety Performance Evaluation of Highway Barriers (JTG B05-01-2013). The research findings of this paper is that the finite element simulation crash tests can effectively simulate full-scale-vehicle crash test, and the finite element simulation crash tests is reliable. If the safety performance of the barrier in the finite element simulation crash tests meets the requirements, the probability of passing the full-scale-vehicle crash test is higher. Therefore, a design scheme is proposed for the B750HL bridge barrier to improve hybrid bridge barriers at a height of 51 cm or more based on various design methods.