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A magnon junction consisting of ferromagnetic/antiferromagnetic/ferromagnetic insulators can manipulate the transmission of magnon current through adjusting magnetic moment alignment, offering potential for ultra-low power magnon circuits. This study employs density functional theory calculations and atomic simulations to investigate the strain-dependent modulation of magnon current transport in CoF e 2 O 4 / NiO / CoF e 2 O 4 junctions induced by bulk acoustic waves. Our results demonstrate that strain significantly alters the magnetic anisotropy energy of both NiO and CoF e 2 O 4 , with NiO favoring in-plane magnetic anisotropy under various strains and CoF e 2 O 4 exhibiting a transition from in-plane to perpendicular magnetic anisotropy. Additionally, controlling the magnetic anisotropy energy of NiO and CoF e 2 O 4 allows for the regulation of magnon current transmission, providing a novel approach to optimize magnonic device performance. These findings highlight the potential of strain as a tunable parameter in the design of advanced magnonic devices. [ABSTRACT FROM AUTHOR]

Magnetic skyrmioniums—with a composite structure comprising two skyrmions with opposite topological charges, exhibit unique dynamic behaviors that are crucial for technological advancements and have application potential for high-density and nonvolatile memory. This study explores the impact of periodic perpendicular magnetic anisotropy (PMA) and damping gradients on skyrmioniums. Utilizing the object oriented micromagnetic framework for detailed simulations, the effective control and enhancement of the skyrmionium stability and mobility through the periodic modulation of PMA and damping gradients is demonstrated. The results demonstrate the dynamic behavior and stability control of skyrmioniums in periodic PMA/damping gradient nanowires. Moreover, the critical influence of the periodic gradient on the skyrmionium motion and stability is highlighted. The results present new avenues for developing advanced memory technologies, leveraging skyrmionium's unique nonlinear behaviors to improve the device performance and reliability. [ABSTRACT FROM AUTHOR]

Electrocatalytic CO2 reduction reaction (CO2RR) for CH4 production presents a promising strategy to address carbon neutrality, and the incorporation of a second metal has been proven effective in enhancing catalyst performance. Nevertheless, there remains limited comprehension regarding the fundamental factors responsible for the improved performance. Herein, the critical role of Pd in electrocatalytic CO2 reduction to CH4 on Cu-based catalysts has been revealed at a molecular level using in situ surface-enhanced Raman spectroscopy (SERS). A "borrowing" SERS strategy has been developed by depositing Cu–Pd overlayers on plasmonic Au nanoparticles to achieve the in situ monitoring of the dynamic change of the intermediate during CO2RR. Electrochemical tests demonstrate that Pd incorporation significantly enhances selectivity toward CH4 production, and the Faradaic efficiency (FE) of CH4 is more than two times higher than that for the catalysts without Pd. The key intermediates, including *CO2−, *CO, and *OH, have been directly identified under CO2RR conditions, and their evolution with the electrochemical environments has been determined. It is found that Pd incorporation promotes the activation of both CO2 and H2O molecules and accelerates the formation of abundant active *CO and hydrogen species, thus enhancing the CH4 selectivity. This work offers fundamental insights into the understanding of the molecular mechanism of CO2RR and opens up possibilities for designing more efficient electrocatalysts. [ABSTRACT FROM AUTHOR]

High-frequency coherent acoustic phonons hold immense value in characterizing the coupling between magnetic, lattice, and electronic properties, offering nanometer-scale spatial resolution within the ultrafast timescale. However, efficiently propagating intense sub-THz coherent acoustic phonons across diverse materials remains a formidable challenge. Here, we demonstrate that using vanadium dioxide (VO2) as a transducer can induce enhanced coherent acoustic pulses that propagate efficiently (∼90%) into TiO2 due to excellent acoustic impedance matching and minor lattice interface mismatch compared with traditional metals such as Pt, Au, and Cu. Employing time-resolved pump–probe reflectivity spectroscopy, we observe pronounced coherent phonon oscillations reaching up to 0.164 THz from the longitudinal acoustic mode along the c axis in VO2/TiO2. Furthermore, the temperature and pump fluence dependence of the coherent phonon oscillation signals suggest that the metallic state of VO2 responds to these large coherent acoustic phonons. [ABSTRACT FROM AUTHOR]

Polycyclic aromatic hydrocarbons (PAHs) are common atmospheric pollutants, and they are also ubiquitous in the interstellar medium. Here, we report the study of a complex O-containing PAH anion, the deprotonated 2-hydroxytriphenylene (2-OtPh–), using high-resolution photoelectron imaging and photodetachment spectroscopy of cryogenically cooled anions. Vibrationally resolved photoelectron spectra yield the electron affinity of the 2-OtPh radical as 2.629(1) eV and several vibrational frequencies for its ground electronic state. Photodetachment spectroscopy reveals bound valence excited electronic states for the 2-OtPh– anion, with unprecedentedly rich vibronic features. Evidence is presented for a low-lying triplet state (T1) and two singlet states (S1 and S2) below the detachment threshold. Single-color resonant two-photon photoelectron spectroscopy uncovers rich photophysics for the 2-OtPh– anion, including vibrational relaxation in S1, internal conversion to the ground state of 2-OtPh–, intersystem crossing from S2 to T1, and a long-lived autodetaching shape resonance about 1.3 eV above the detachment threshold. The rich electronic structure and photophysics afforded by the current study suggest that 2-OtPh– would be an interesting system for pump–probe experiments to unravel the dynamics of the excited states of this complex PAH anion. [ABSTRACT FROM AUTHOR]

Wetland ecosystems provide numerous services to humanity and the biosphere at large. However, these services are constantly dwindling due to the massive wetland loss caused by urbanization. Urbanization-induced wetland loss is a global problem, with most developing countries experiencing it currently. Several studies on wetland loss have been conducted. However, there is a dearth of studies integrating GIS and other ecological models to estimate the periodic deterioration of wetlands in rural settings in underdeveloped nations. As a result, this study aims to determine wetland loss in a developing country's countryside, using the Greater Amanzule Wetland in the Ellembelle District of Ghana as a case study. The study used the GIS and Remote Sensing dataset, the Normalization Difference Vegetation Index, and the InVEST-Habitat Quality model to analyze the spatial pattern of wetland loss and habitat quality variations caused by industrialization and community expansions between 2000 and 2020. Our results indicate that, from 2000 to 2015, community built-up and industrial land areas grew from 25.19 ha to 84.21 ha and 0–4.71 ha respectively, causing a wetland loss of −39.64 ha (−31.10%). Between 2015 and 2020, community built-up land grew to 78.65 ha while industrial land slightly reduced to 2.54 ha, leading to the wetland degradation of approximately −69.06 ha (−42.53%). Wetland habitat quality steadily declined, from 0.97 in 2000 to 0.93 in 2015 and 0.93 in 2020. The study findings led to policy recommendations to reduce wetland encroachment and enhance sustainability. These recommendations included conducting effective land-use plan inspections before issuing permits, coordinating effective management, and promoting the recovery of natural and artificial vegetation to sustain the wetland. [ABSTRACT FROM AUTHOR]

Background: Hepatocellular carcinoma (HCC) is one of the most prevalent and lethal cancers worldwide, with death rates increasing by approximately 2–3% per year. The high mortality and poor prognosis of HCC are primarily due to inaccurate early diagnosis and lack of monitoring when liver transplantation is not feasible. Fatty acid (FA) metabolism is a critical metabolic pathway that provides energy and signaling factors in cancer, particularly in HCC, and promotes malignancy. Therefore, it is essential to explore specific FA metabolism-related diagnostic and prognostic signatures that can enable the effective early diagnosis and monitoring of HCC. Methods: In this study, we used genes associated with FA metabolism pathway and weighted gene co-expression network analysis (WGCNA) to establish a gene co-expression network and identify hub genes related to HCC (disease WGCNA) and FA clusters (cluster WGCNA). A diagnostic model was constructed using data downloaded from the Gene Expression Omnibus database (GSE25097), and a prognostic model was established using The Cancer Genome Atlas cohort, in which Univariate Cox regression analysis, multivariate Cox risk model, and LASSO Cox regression analysis were applied. The immune infiltration of HCC cells was evaluated using CIBERSORT. The function of the key SLC22A1 gene was experimentally verified in vitro and in vivo. Results: Twelve overlapping genes (CPEB3, ASPDH, DEPDC7, ETFDH, UGT2B7, GYS2, F11, ANXA10, CYP2C8, GLYATL1, C6, and SLC22A1) from disease and cluster WGCNA were identified as key genes and used in the construction of the diagnostic and prognostic models. The RF model had the highest area under the ROC curve (AUC) of 0.994 was identified as the most effective for distinguishing patients with HCC with different features. The top five important genes (C6, UGT2B7, SLC22A1, F11, and CYP2C8) from the RF model were selected as diagnostic genes for further analysis (ROC curves: AUC value = 0.986, 95% confidence interval [95% CI] = 0.967–0.999). Moreover, a risk score formula consisting of four genes (GYS2, F11, ANXA10 and SLC22A1) was established and its independent prognostic ability was further demonstrated (univariate Cox regression analysis: hazard ratio [HR] = 3.664%, 95% CI = 2.033–6.605, P < 0.001; multivariate Cox regression analysis: HR = 2.801%, 95% CI = 1.553–5.049, P < 0.001). Additionally, in vitro and in vivo experiments demonstrated that SLC22A1 inhibits HCC tumor development, suggesting it may be a potential therapeutic target for HCC. Conclusions: These findings indicate a considerable value of specific FA metabolism-related genes in the diagnostic and prognostic evaluation of HCC, which provide novel insights into the disease's management, as well as has potential implications for personalized treatment strategies. However, further investigation of the effects of these model genes on HCC is required. [ABSTRACT FROM AUTHOR]

Kinematic alignment (KA) in the short to medium term clinical outcomes is superior to the mechanical alignment (MA), but whether it will improve patients' postoperative gait is still controversial. Understanding whether and how KA influences postoperative gait mechanics could provide insights into optimizing alignment philosophy to improve functional outcomes. To investigate the impact of KA versus MA in total knee arthroplasty (TKA) on the operated and contralateral native lower limbs by analyzing plantar pressure distribution during walking gait. This study was designed as a secondary analysis from a randomized controlled trial. Thirty-seven patients were included, nineteen underwent KA-TKA and eighteen underwent MA-TKA, each with a native knee in the contralateral limb. Pressure-sensitive insoles were used to collect plantar pressure distribution of both limbs simultaneously during walking defined as medial-lateral load ratio (MLR). Perioperative characteristics including radiographic metrics (Hip-Knee-Ankle angle (HKA), mechanical lateral distal femoral angle (mLDFA), and mechanical medial proximal tibial angle (mMPTA) and clinical outcomes (Oxford Knee Scores (OKS)) were compared between the two groups pre-operatively and 2-year postoperatively. Significant differences were found in postoperative radiographic metrics, with KA showing better OKS 1 year postoperatively (p = 0.021), lower mean HKA (p = 0.009) and mMPTA (p < 0.001). Other perioperative characteristics were similar between groups. In the pedobarographic analysis, the MA group demonstrated greater medial pressure distribution in forefoot compared to both the KA group (p < 0.001) and the contralateral native knee (p = 0.002). Besides, the MA group revealed a more lateral pressure distribution in rearfoot compared to the KA group (p = 0.007) and the contralateral native knee (p = 0.001). While there was no significant difference between KA and native group (p = 0.064 and p = 0.802, respectively). KA offered advantages over MA in restoring a more physiologic plantar pressure distribution at two years postoperatively. These results underscore the potential clinical benefits of adopting KA techniques in TKA procedures. [ABSTRACT FROM AUTHOR]

Variable screening plays a crucial role in ultra-high-dimensional data analysis. In this article, we establish a sure independence screening procedure based on the multiscale graph correlation (MGC), a new frame to generalize distance correlation, which can identify the monotonous or non monotonic relationship between predictors and response, and also enjoy the same sure screening property as the DC-SIS. Besides, we extend the method to right-censored survival data in two ways, the Kaplan-Meier estimator and composite quantile, respectively, and build the corresponding sure screening properties. Through numerical simulation, the results show that MGC-based screening methods have better performance than other methods when complicated non linear relationships exist for both complete data and right-censored data. Furthermore, we apply the proposed methods to two real datasets to examine the ranking ability and model prediction accuracy. [ABSTRACT FROM AUTHOR]

The electrochemical conversion of 5-hydroxymethylfurfural (HMF) into 2,5-furandicarboxylic acid (FDCA), powered by renewable electricity, provides an efficient strategy for upgrading biomass to produce high value-added products. In this work, sulfur-doped hollow metal–organic framework (MOF) nanotubes were synthesized in a scalable and controllable manner by using hydrogen-bonded organic frameworks (HOFs) as the template and precursor. Interestingly, sulfur doping of the catalysts could be simply achieved by replacing nickel nitrate with nickel sulfate at the synthesis stage, and the designed sulfur-doped catalysts demonstrated excellent electrocatalytic activity in the HMFOR and remarkable durability, achieving nearly 100% conversion of HMF and high FDCA faradaic efficiency. Moreover, the HMFOR activity could be further enhanced by additional sulfur doping of the prepared catalyst, while maintaining its unique tubular morphology. The combination of sulfur doping with hollow nanotubes greatly increases the electrochemically active surface area and improves electron transport. In situ Raman and electrochemical impedance spectroscopy disclose that the continuously generated Ni3+ active species act as intermediates to promote HMF oxidation. In addition, this facile fabrication method is more environmentally friendly and significantly expands the scope of preparing non-precious metal-based nanotubes for electrocatalytic applications. [ABSTRACT FROM AUTHOR]

The Leshan Giant Buddha's ushnisha (Head Bun) has suffered from loss of lime plaster, cracks, and biological damage, compromising its structural integrity and reducing the effectiveness of the drainage system in the Buddha's head. The infiltration of moisture has led to water damage within the statue, significantly accelerating its weathering. This situation urgently requires protection and reinforcement measures. Detecting deterioration in the ushnisha is a crucial step in the preservation process. In this study, we utilized two deep learning models for pixel-level semantic segmentation of the damage. Due to the small size of the cracks, a weighted loss function was applied to improve both the training speed of the model and the efficiency of crack identification. This weighting strategy proved effective for both models. The weighted K-Net model achieved a mean accuracy (mAcc) of 90.23% and a mean intersection-over-union (mIoU) of 69.55%, with a damage segmentation speed of 7 images per second, which is 1309 times faster than manual segmentation. By applying the trained deep learning models to re-examine the ushnisha, we successfully identified damage that had been overlooked during manual annotation. Using the model's enhanced results, we conducted a comprehensive quantification of the damage across all ushnisha and identified the most severely affected areas. Additionally, we performed a model interpretability analysis to explain the decision-making process and principles of the deep learning models. This research provides significant practical value for detecting and quantifying damage in the Leshan Giant Buddha. [ABSTRACT FROM AUTHOR]

Myocardial ischemia-reperfusion injury (MIRI) is a secondary injury caused by restoring blood flow after acute myocardial infarction, which may lead to serious arrhythmia and heart damage. In recent years, the role of potassium channels in MIRI has attracted much attention, especially the members of the two-pore domain potassium (K2P) channel family. K2P channel has unique structure and function, and the formation of its heterodimer increases its functional diversity. This paper reviews the structural characteristics, types, expression and physiological functions of K2P channel in the heart. In particular, we pay attention to whether members of the subfamily such as TWIK, TREK, TASK, TALK, THIK and TRESK participate in MIRI and their related mechanisms. Future research will help to reveal the molecular mechanism of K2P channel in MIRI and provide new strategies for the treatment of cardiovascular diseases. [ABSTRACT FROM AUTHOR]

Background: Astragalus membranaceus (Fisch.) Bunge is one of the most well-known tonic herbs in traditional Chinese medicine, renowned for its remarkable medicinal value in various clinical contexts. The corresponding chloroplast (cp) and nuclear genomes have since been accordingly sequenced, providing valuable information for breeding and phylogeny studies. However, the mitochondrial genome (mitogenome) of A. membranaceus remains unexplored, which hinders comprehensively understanding the evolution of its genome. Results: For this study, we de novo assembled the mitogenome of A. membranaceus (Fisch.) Bunge var. mongholicus (Bunge) P. K. Hsiao using a strategy integrating Illumina and Nanopore sequencing technology and subsequently performed comparative analysis with its close relatives. The mitogenome has a multi-chromosome structure, consisting of two circular chromosomes with a total length of 398,048 bp and an overall GC content of 45.3%. It encodes 54 annotated functional genes, comprising 33 protein-coding genes (PCGs), 18 tRNA genes, and 3 rRNA genes. An investigation of codon usage in the PCGs revealed an obvious preference for codons ending in A or U (T) bases, given their high frequency. RNA editing identified 500 sites in the coding regions of mt PCGs that exhibit a perfect conversion of the base C to U, a process that tends to lead to the conversion of hydrophilic amino acids into hydrophobic amino acids. From the mitogenome analysis, a total of 399 SSRs, 4 tandem repeats, and 77 dispersed repeats were found, indicating that A. membranaceus possesses fewer repeats compared to its close relatives with similarly sized mitogenomes. Selection pressure analysis indicated that most mt PCGs were purifying selection genes, while only five PCGs (ccmB, ccmFc, ccmFn, nad3, and nad9) were positive selection genes. Notably, positive selection emerged as a critical factor in the evolution of ccmB and nad9 in all the pairwise species comparisons, suggesting the extremely critical role of these genes in the evolution of A. membranaceus. Moreover, we inferred that 22 homologous fragments have been transferred from cp to mitochondria (mt), in which 5 cp-derived tRNA genes remain intact in the mitogenome. Further comparative analysis revealed that the syntenic region and mt gene organization are relatively conserved within the provided legumes. The comparison of gene content indicated that the gene composition of Fabaceae mitogenomes differed. Finally, the phylogenetic tree established from analysis is largely congruent with the taxonomic relationships of Fabaceae species and highlights the close relationship between Astragalus and Oxytropis. Conclusions: We provide the first report of the assembled and annotated A. membranaceus mitogenome, which enriches the genetic resources available for the Astragalus genus and lays the foundation for comprehensive exploration of this invaluable medicinal plant. [ABSTRACT FROM AUTHOR]

Tumor-infiltrating lymphocyte (TIL) therapy in adoptive T-cell therapy (ACT) has already caused durable regression in a variety of cancer types due to T-cell persistence, clinical activity, and duration of objective response and safety. TILs are composed of polyclonal effector T-cells specific to heterogenetic tumor antigens, reasonably providing a promising means for tumor therapy. In addition, their expansion in vitro can release them from the suppressive tumor microenvironment. Even though significant advances have been made in the procedure of TIL therapy, from TIL isolation, modification, expansion, and infusion back to the patient to target the tumor, strategy optimization is always ongoing to overcome drawbacks such as a complex process, options for the lineage differentiation status of TILs, and sufficient trafficking of TILs to the tumor. In this review, we summarize the current advances of TIL therapy, raise problem-based optimization strategies, and provide future perspectives on next-generation TIL therapy as a potential avenue for enhancing cell-based immunotherapy. [ABSTRACT FROM AUTHOR]

Erianin is one of the most representative bibenzyls with significant inhibitory activity against a wide range of tumor cells. However, the low erianin level in natural materials has severely inhibited its further development in health care. Our aim was to uncover the erianin biosynthetic pathway to lay the foundation for promoting its production. Firstly, we screened and obtained two Dendrobium species (Dendrobium thyrsiflorum stems with lower erianin content and D. chrysotoxum stems with higher erianin content), belonging to the same Dendrobium section (Chrysotoxae). A systematic analysis of bibenzyl structure and content in two stems revealed that gigantol might be an erianin biosynthetic intermediate, which was verified by introducing deuterium-labeled gigantol. Chemical structure analyses indicated that gigantol was modified by two kinds of enzymes (hydroxylases and O-methyltransferases), leading to erianin synthesis. Up-regulated hydroxylases and O-methyltransferases (OMTs) were screened out and were performed by molecular docking simulation experiments. We propose a rational biosynthetic pathway from gigantol to erianin, as well as relevant enzymes involved in the process. Our findings should significantly contribute to comprehensive resolution of the erianin biosynthetic pathway, promote its large-scale industrial production as well as contribute to biosynthesis studies of other bibenzyls. [ABSTRACT FROM AUTHOR]

Introduction: Selenium is an essential micronutrient the human body requires, which is closely linked to health. Rice, a primary staple food globally, is a major source of human selenium intake. To develop selenium-enriched rice varieties, it is imperative to understand the mechanisms behind selenium's absorption and transport within rice, alongside identifying the key genes involved in selenium uptake, transport, and transformation within the plant. Methods: This study conducted transcriptome sequencing on four types of rice materials (two with low-selenium and two with high-selenium contents) across roots, stems, leaves, and panicles to analyze the gene expression differences. Results and discussion: Differential gene expression was observed in the various tissues, identifying 5,815, 6,169, 7,609, and 10,223 distinct genes in roots, stems, leaves, and panicles, respectively. To delve into these differentially expressed genes and identify the hub genes linked to selenium contents, weighted gene co-expression network analysis (WGCNA) was performed. Ultimately, 10, 8, 7, and 6 hub genes in the roots, stems, leaves, and panicles, respectively, were identified. The identification of these hub genes substantially aids in advancing our understanding of the molecular mechanisms involved in selenium absorption and transport during the growth of rice. [ABSTRACT FROM AUTHOR]

Background: Although breakthroughs have been achieved in gastric cancer (GC) therapy with immune checkpoint inhibitors (ICIs) targeting programmed death-1 (PD-1) and programmed death-ligand 1 (PD-L1), the acquisition of high response rate remains a huge challenge for clinicians. It is imperative to identify novel biomarkers for predicting response to immunotherapy and explore alternative therapeutic strategy for GC. Methods: The transcriptomic profiles and clinical information of GC patients from The Cancer Genome Atlas (TCGA)-stomach adenocarcinoma (STAD) database was used to screen differentially expressed lncRNAs between the tumor specimens and the paracancerous tissues. The TargetScan, miRDB and miRcode database were then utilized to construct competing endogenous RNA (ceRNA) networks and identify pivotal lncRNAs. An independent dataset from GEO (GSE70880) and 23 pairs of GC specimens of our cohort were subsequently performed for external validity. The relationship between clinical variables and gene expression were evaluated by Kruskal–wallis test and Wilcoxon signed-rank. The prognostic value of the candidate genes was assessed using Kaplan-Meier analysis and Cox regression models. CIBERSORT and Gene set enrichment analysis (GSEA) were used to determine immune cell infiltration. Gastric adenocarcinoma AGS cells and human embryonic kidney 293T (HEK293T) cells with knockdown of LINC01094 were generated by siRNA transfection, followed by detecting the alteration of the target miRNA and PD-L1/PD-L2 by RT-qPCR. Besides, the interaction between lncRNA and the miRNA–PD-L1/PD-L2 axis were verified by dual luciferase reporter assay. Results: Twenty-two intersecting lncRNAs were identified to be PD-L1/PD-L2-related lncRNAs and LINC01094–miR-17-5p–PD-L1/PD-L2 was constructed as a potential ceRNA network. LINC01094 was increased in tumor specimens than adjacent normal samples and was positively associated with advanced tumor stages and EBV and MSI status. Furthermore, LINC01094 expression was an independent risk factor for poor overall survival (OS) in GC patients. CD8+ T cell exhaustion-related genes were enriched in high-LINC01094 tissues and high-PD-L2 group. A strong positive association of LINC01094 expression was established with M2 macrophages, IL-10+ TAM, as well as PD-L1 and PD-L2 levels, therefore a LINC01094–miR-17-5p–IL-10 network was proposed in macrophages. Using the exoRBase database, LINC01094 was assumed in blood exosomes of GC patients The results of knockdown experiments and luciferase reporter assays revealed that LINC01094 interacted with miR-17-5p and served as a miRNA sponge to regulate the expression of PD-L1 and PD-L2. Conclusion: LINC01094 dually regulates the expression of PD-L1 and PD-L2 and shapes the immunosuppressive tumor microenvironment via sponging miR-17-5p. LINC01094 may serve as a potential prognostic predictor and therapeutic target in GC. [ABSTRACT FROM AUTHOR]

Introduction: The gut microbiota is believed to be directly involved in the etiology and development of chronic liver diseases. However, the holistic characterization of the gut bacteriome, mycobiome, and virome in patients with chronic hepatitis B-related liver fibrosis (CHB-LF) remains unclear. Methods: In this study, we analyzed the multi-kingdom gut microbiome (i.e., bacteriome, mycobiome, and virome) of 25 CHB-LF patients and 28 healthy individuals through whole-metagenome shotgun sequencing of their stool samples. Results: We found that the gut bacteriome, mycobiome, and virome of CHB-LF patients were fundamentally altered, characterized by a panel of 110 differentially abundant bacterial species, 16 differential fungal species, and 90 differential viruses. The representative CHB-LF-enriched bacteria included members of Blautia_A (e.g., B. wexlerae , B. massiliensis , and B. obeum), Dorea (e.g., D. longicatena and D. formicigenerans), Streptococcus , Erysipelatoclostridium , while some species of Bacteroides (e.g., B. finegoldii and B. thetaiotaomicron), Faecalibacterium (mainly F. prausnitzii), and Bacteroides_A (e.g., B. plebeius_A and B. coprophilus) were depleted in patients. Fungi such as Malassezia spp. (e.g., M. japonica and M. sympodialis), Candida spp. (e.g., C. parapsilosis), and Mucor circinelloides were more abundant in CHB-LF patients, while Mucor irregularis , Phialophora verrucosa , Hortaea werneckii, and Aspergillus fumigatus were decreases. The CHB-LF-enriched viruses contained 18 Siphoviridae , 12 Myoviridae , and 1 Podoviridae viruses, while the control-enriched viruses included 16 Siphoviridae , 9 Myoviridae , 2 Quimbyviridae , and 1 Podoviridae_crAss-like members. Moreover, we revealed that the CHB-LF-associated gut multi-kingdom signatures were tightly interconnected, suggesting that they may act together on the disease. Finally, we showed that the microbial signatures were effective in discriminating the patients from healthy controls, suggesting the potential of gut microbiota in the prediction of CHB-LF and related diseases. Discussion: In conclusion, our findings delineated the fecal bacteriome, mycobiome, and virome landscapes of the CHB-LF microbiota and provided biomarkers that will aid in future mechanistic and clinical intervention studies. [ABSTRACT FROM AUTHOR]

Introduction: Chronic kidney disease (CKD) presents a critical global health challenge, marked by the progressive decline of renal function. This study explores the role of the 3β-hydroxysteroid dehydrogenase type 2 enzyme (HSD3B2) and the steroid hormone biosynthesis pathway in CKD pathogenesis and progression. Methods: Using an adenine-induced CKD mouse model, we conducted an untargeted metabolomic analysis of plasma samples to identify key metabolite alterations associated with CKD. Immunohistochemistry, Western blotting, and qPCR analyses were performed to confirm HSD3B2 expression in both human and mouse tissues. Additionally, Nephroseq and Human Protein Atlas data were utilized to assess the correlation between HSD3B2 and kidney function. Functional studies were conducted on HK2 cells with HSD3B2 knockdown to evaluate the impact on cell proliferation and apoptosis. Results: Metabolic characteristics revealed significant shifts in CKD, with 61 metabolites increased and 65 metabolites decreased, highlighting the disruption in steroid hormone biosynthesis pathways influenced by HSD3B2. A detailed examination of seven key metabolites underscored the enzyme's central role. HSD3B2 exhibited a strong correlation with kidney function, supported by data from Nephroseq and the Human Protein Atlas. Immunohistochemistry, Western blotting, and qPCR analyses confirmed a drastic reduction in HSD3B2 expression in CKD-affected kidneys. Suppressed proliferation and increased apoptosis rates in HSD3B2 knocked down HK2 cells further demonstrated the enzyme's significance in regulating renal pathophysiology. Discussion: These findings underscore the potential of HSD3B2 as a clinical diagnostic and therapeutic target in CKD. While further studies are warranted to fully elucidate the mechanisms, our results provide valuable insights into the intricate interplay between steroid hormone biosynthesis and CKD. This offers a promising avenue for precision medicine approaches and personalized treatment strategies. [ABSTRACT FROM AUTHOR]

Background: Previous studies have evaluated the safety and efficacy of transcutaneous auricular vagus nerve stimulation (taVNS) for the treatment of Parkinson's disease (PD). However, the mechanism underlying the effect of taVNS on PD remains to be elucidated. This study aimed to investigate the immediate effects of taVNS in PD patients. Methods: This crossover self-controlled study included 50 PD patients. Each patient underwent three sessions of resting-state functional magnetic resonance imaging (rs-fMRI) under three conditions: real taVNS, sham taVNS, and no taVNS intervention. We analyzed whole-brain amplitude of low-frequency fluctuations (ALFF) from preprocessed fMRI data across different intervention conditions. ALFF values in altered brain regions were correlated with clinical symptoms in PD patients. Results: Forty-seven participants completed the study and were included in the final analysis. Real taVNS was associated with a widespread decrease in ALFF in the right hemisphere, including the superior parietal lobule, precentral gyrus, postcentral gyrus, middle occipital gyrus, and cuneus (voxel p < 0.001, GRF corrected). The ALFF value in the right superior parietal lobule during real taVNS was negatively correlated with the Unified Parkinson's Disease Rating Scale Part III (r = −0.417, p = 0.004, Bonferroni corrected). Conclusion: TaVNS could immediately modulate the functional activity of brain regions involved in superior parietal lobule, precentral gyrus, postcentral gyrus, middle occipital gyrus, and cuneus. These findings offer preliminary insights into the mechanism of taVNS in treating PD and bolster confidence in its long-term therapeutic potential. TaVNS appears to reduce ALFF values in specific brain regions, suggesting a potential modulation mechanism for treating PD. [ABSTRACT FROM AUTHOR]

Victims of explosive events frequently suffer from blast lung injuries. Immune system has been implicated in the pathogenesis of this disease. However, systemic immune responses underlying the progression and recovery of injury repair remain poorly understood. Here, we depict the systemic landscape of immune dysregulation during blast lung injury and uncover immune recovery patterns. Single-cell analyses reveal dramatic changes in neutrophils, macrophages, monocytes, dendritic cells, and eosinophils after a gas explosion, along with early involvement of CD4 T, CD8 T, and Th17 cells. We demonstrate that myeloid cells primarily exert functions during the acute phase, while the spleen serves as an alternative source of granulocytes. Granulopoiesis is initiated in the bone marrow at a later stage during blast lung injury recovery, rather than at the acute stage. These findings contribute to a better understanding of the pathogenesis and provide valuable insights for potential immune interventions in blast lung injury. Single-cell proteomics using mass cytometry reveals the systemic landscape of immune dysregulation during blast lung injury and uncovers patterns of immune recovery, offering valuable insights for potential interventions in blast lung injury. [ABSTRACT FROM AUTHOR]

Quasi‐solid sodium batteries, employing quasi‐solid polymer electrolytes (QSPEs) renowned for their high energy density and cost‐effective fabrication, are promising candidates for next‐generation energy storage systems. However, their practical application has encountered impediments such as insufficient ion transport and uneven sodium plating/stripping attributed to suboptimal interfacial compatibility. In this work, an innovative QSPE is developed by incorporating functional additives, specifically fluoroethylene carbonate (FEC) and tin trifluoromethanesulfonate (Sn(OTf)2), into the poly(vinylidenefluoride‐co‐hexafluoropropylene) (PVDF‐HFP)/propylene carbonate (PC) polymer electrolyte. Sn(OTf)2 catalyzes a ring‐opening reaction in PC, thereby reducing transmission barriers and augmenting the transport of sodium ions. Consequently, the resulting HFP‐PC‐FEC‐Sn QSPE demonstrates remarkable ionic conductivity (0.42 mS cm─1) and ion transference number (0.58). Furthermore, it forms a dense and smooth interphase enriched with NaF and metallic Sn, significantly enhancing the long‐term cycling stability of Na symmetric cells, which endure over 3000 h at 0.2 mA cm─2, and effectively suppressing the formation of sodium dendrites. This outstanding electrochemical performance extends to Na3V2(PO4)3/Na full coin and pouch cells across a wide temperature range. This work introduces an innovative approach for designing high‐performance QSPEs suitable for wide‐temperature quasi‐solid sodium batteries. [ABSTRACT FROM AUTHOR]

Background: Fatigue is one of the most common and burdensome symptoms for patients with multiple sclerosis (PwMS), considerably impacting their quality of life and employment. Numerous reports have described the prevalence of MS-related fatigue, but there is no global consensus on this matter. Objective: To examine the global prevalence of MS-related fatigue and identify sources of heterogeneity in the published literature. Methods: A systematic review and meta-analysis were conducted. A comprehensive search of the PubMed, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, China National Knowledge Infrastructure (CNKI), and Wanfang database for potential literature from 2000 to January 31, 2024. A random effects model was used to calculate the prevalence of MS-related fatigue. Subgroup analyses and a meta-regression were used to explore the sources of heterogeneity. Results: Sixty-nine studies from 27 countries were included. The global prevalence of MS-related fatigue was 59.1%, and it has decreased every decade since 2000. Fatigue was prevalent among females, those with lower education levels, those who were older, those with greater disability, and those with longer MS durations. The meta-regression revealed that fatigue measurement instruments were the largest source of heterogeneity. Conclusion: The prevalence of MS-related fatigue is quite high. Healthcare professionals should screen for and manage fatigue for PwMS as early as possible and pay attention to populations with a high prevalence of fatigue. The high heterogeneity among the prevalence rates due to differences in the fatigue scales suggests the importance of reaching a consensus on the best screening tools for MS-related fatigue. [ABSTRACT FROM AUTHOR]

To improve the corrosion resistance of 304SS, a polyvinyl butyral/organic montmorillonite-chitosan (PVB/OMMT-Ch) composite coating was prepared by the spin coating method. The Montmorillonite was organically modified with Cetyltrimethylammonium Bromide and compounded with Chitosan to obtain OMMT-Ch. OMMT-Ch filler has been introduced into the polyvinyl butyral coating to improve the corrosion resistance of 304 stainless steel. Scanning electron microscope and transmission electron microscope observations showed that the introduction of chitosan made the montmorillonite layers rounded and loose, and the X-ray diffraction (XRD) results indicated that the interlayer spacing between the montmorillonite layers changed significantly, and the FT-IR results of the chitosan/montmorillonite insertion complexes were in good agreement with those of the XRD analyses, which showed that chitosan successfully inserted between the layers of montmorillonite. The corrosion resistance of the composite coatings in 3.5% NaCl solution was tested by Tafel polarization curves and electrochemical impedance spectroscopy. The results showed that the composite coatings doped with 0.5% OMMT-Ch had the best corrosion resistance with long-lasting protection of more than 160 days. This study suggests a novel approach for nanocomposites for dealing with the 304SS corrosion issue. [ABSTRACT FROM AUTHOR]

Enhancing soil shear strength is of great importance in preventing soil collapse and erosion in the hilly granitic region of southern China. However, limited studies have been conducted on improving soil shear strength in collapsing gullies. Electrokinetic stabilization (EKS) involves applying an electrical current through a soil mass to promote the migration of chemicals from injection points, thereby altering the chemical composition of the treated soil to improve its physical properties. In this study, we investigated the effects of adding calcium chloride (CaCl2) and using EKS techniques on the soil shear characteristics (shear strength and its two components: cohesion and internal friction angle) of three different soil layers in collapsing gullies. The results showed that the EKS techniques significantly increased the migration of calcium ions from the anode to the cathode region of the power supply device used in the soils. Using the EKS process alone did not increase or even decrease the soil shear strength, but combining EKS with CaCl2 injection (Ca-EKS) increased the soil shear strength, and this increase was mainly due to the increase in soil cohesion. The soil cohesion after Ca-EKS treatment increased on average by 49.84%, 83.11% and 100.36% compared with the soil without treatments (CK) for the red soil, sandy soil and detritus, respectively. However, soil amended only by CaCl2 addition, Water-EKS or Ca-EKS does not show an increase in soil internal friction angles compared with the CK. These results demonstrate that Ca-EKS can be applied to improve the soil shear strength and stability of gully walls in hilly granitic regions. [ABSTRACT FROM AUTHOR]

Miniaturization of organic afterglow materials has shown promising application in biomedical and other areas. Current technologies, such as nanoprecipitation, mechanical treatment, and emulsion polymerization, lack the capability of facile control on the morphology and dimension of the miniaturized organic afterglow materials. Here we report the fabrication of organic afterglow nanostructures via block copolymer self‐assembly at room temperature. The fabrication is based on two‐component design strategy where hydrophobic luminescent emitters with small rate constants of phosphorescence decay or reverse intersystem crossing are designed as the first component. Amphiphilic block copolymers that can form spherical core‐shell micelles and worm‐like micelles with glassy hydrophobic cores are used as the second component. Upon addition of water into a dimethylformamide solution that contains the two components, the amphiphilic block copolymers self‐assemble into well‐defined nanostructures and accommodate the hydrophobic luminescent emitters in nanostructure's hydrophobic cores. After switching to pure water by dialysis, room‐temperature afterglow nanostructures have been obtained because of the excellent protection of organic triplets by the glassy hydrophobic cores. The afterglow nanostructures exhibit intriguing afterglow mechanism modulated by the types of luminescent emitters, controlled dimensions and morphologies by the structural parameters of the block copolymers. [ABSTRACT FROM AUTHOR]

Ubiquitous radar has significant advantages over traditional radar in detecting and identifying low, slow, and small (LSS) targets in a strong clutter environment. It effectively addresses challenges faced in low-altitude target monitoring within the low-altitude economy (LAE). The working mode of ubiquitous radar, which tracks first and identifies later, provides high-resolution Doppler data to the target identification module. Utilizing high-resolution Doppler data allows for the effective identification of LSS targets. To meet the needs of real-time classification, this paper first designs a real-time classification process based on sliding window Doppler data. This process requires the classifier to classify targets based on multiple rows of high-resolution Doppler spectra within the sliding window. Secondly, a multi-channel parallel perception network based on a 1D ResNet-SE network is designed. This network captures features within the rows of sliding window data and integrates inter-row features. Experiments show that the designed real-time classification process and multi-channel parallel perception network meet real-time classification requirements. Compared to the 1D CNN-MLP multi-channel network, the proposed 1D ResNet-MLP multi-channel network improves the classification accuracy from 98.71% to 99.34%. Integrating the 1D Squeeze-and-Excitation (SE) module to form the 1D ResNet-SE-MLP network further enhances accuracy to 99.58%, with drone target accuracy, the primary focus of the LAE, increasing from 97.19% to 99.44%. [ABSTRACT FROM AUTHOR]

Intervertebral disk degeneration (IVDD) may lead to an increase in extracellular matrix (ECM) stiffness, potentially contributing to the progression of the disease. Melatonin reportedly mitigates IVDD; however, its potential to attenuate elevated matrix stiffness-induced IVDD remains unexplored. Therefore, we aimed to investigate whether melatonin can alleviate the progression of IVDD triggered by increased matrix stiffness and elucidate its underlying mechanisms. Nucleus pulposus (NP) tissues were collected from patients, and ECM stiffness, reactive oxygen species (ROS) levels, apoptosis rates, and P65 expression in these tissues with varying Pfirrmann scores were determined. In vitro experiments were conducted to investigate the effects of melatonin on various pathophysiological mechanisms within the NP cells cultured on soft substrates with differing stiffness levels. Our findings revealed a positive correlation between ECM stiffness in human NP tissue and degree of IVDD. In addition, phosphorylation of P65 exhibited a strong association with matrix stiffness. Enhanced levels of ROS and cellular apoptosis were observed within degenerated intervertebral disks. In vitro experiments demonstrated that melatonin significantly inhibited catabolism and apoptosis induced by stiff matrices, along with elevated ROS levels. Furthermore, we observed that melatonin inhibited NP cell catabolism and apoptosis by reducing the melatonin receptors mediated activation of the PI3K/AKT and nuclear factor-kappa B (NF-κB) pathways. Also, we found that the reduction of ROS by melatonin can assist in inhibiting the activation of the NF-κB pathway. The outcomes of the in vivo experiments corroborated the results of the in vitro experiments, illustrating that melatonin treatment could alleviate the compression-induced upregulation of matrix stiffness in NP and IVDD. Collectively, melatonin can potentially alleviate high matrix stiffness-induced IVDD by reducing intracellular ROS levels and inhibiting the PI3K/AKT/NF-κB pathway. NEW & NOTEWORTHY: Melatonin mitigates intervertebral disk degeneration (IVDD) induced by matrix stiffness through reactive oxygen species (ROS) reduction. Matrix stiffness is related to increased nucleus pulposus cell ROS, apoptosis, and degeneration. Melatonin inhibits PI3K/AKT/NF-κB pathways via melatonin receptors in a stiff matrix environment. In vivo, melatonin restores disk height and alleviates IVDD progression. [ABSTRACT FROM AUTHOR]

Macroporous resin is an efficient separation technology that plays a crucial role in the separation and purification of traditional Chinese medicine (TCM). However, the application of macroporous resins in TCM pharmaceuticals is hindered by serious fouling caused by the complex materials used in TCM. This study examines the impact of ultrafiltration (UF) membrane technology on the macroporous resin adsorption behavior of TCM extracts. In this paper, Bupleurum chinense DC. (B. chinense) water extracts were included as an example to study the effect of UF pretreatment on the macroporous resin adsorption of total saponins. The study results indicated that the adsorption of total saponins constituents from the water extracts of B. chinense on the macroporous resin followed the pseudo-second-order kinetic model and the Langmuir model. The thermodynamic parameters of adsorption, including enthalpy changes and Gibbs free energies, were negative, while entropy changes were positive. These results demonstrated that the total saponin components form a monolayer adsorption layer by spontaneous thermal adsorption on the macroporous resin, and that the adsorption rate is not determined by the rate of intraparticle diffusion. Following treatment with a UF membrane with an average molecular weight cut-off of 50 kDa, the protein, starch, pectin, tannin, and other impurities in the water extracts of B. chinense were reduced, while the total saponin content was retained at 82.32%. The adsorption kinetic model of the saponin constituents on the macroporous resin remained unchanged and was consistent with both the second-order kinetic model and the Langmuir model; the adsorption rate of the second-order kinetic model increased by 1.3 times and in the Langmuir model at 25 °C, the adsorption performance improved by 1.16 times compared to the original extracts. This study revealed that UF technology as a pretreatment method can reduce the fouling of macroporous resin by TCM extracts and improve the adsorption performance of macroporous resin. [ABSTRACT FROM AUTHOR]

Background: Delirium is the most common psychiatric diagnosis in the intensive care unit (ICU), and 55%‐80% of delirium cases are unrecognized and undocumented the most popular validated instruments available to diagnose delirium for critically ill patients are the Confusion Assessment Method for the ICU (CAM‐ICU). [Correction added on 16 October 2024, after first online publication: The Background section in Abstract has been added in this version.] Aim: To identify the validity and predictability of the confusion assessment method for the intensive care unit (CAM‐ICU) for delirium in critically ill patients in the ICU. Study Design: In this systematic review, PubMed, Embase, Cochrane Central Register of Controlled Trials, and MEDLINE databases were searched for observational studies investigating delirium screening tools for ICU patients. In the meta‐analysis, we combined the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve (AUC) of SROC to analysis the predictive value of CAM‐ICU. Results: Twenty‐nine articles met the inclusion criteria. The pooled sensitivity and specificity values were 0.82 (95% confidence interval [CI]: 0.75–0.87) and 0.95 (95% CI: 0.93–0.97), respectively. The AUC point estimate of the SROC curve was 0.96 (95% CI: 0.94–0.97). Race (Asian or Others) could affect the pooled sensitivity and specificity, and the analysis method (Patient‐ or Scan‐based) and study design were not sources of heterogeneity for pooled sensitivity and specificity. Conclusions: The CAM‐ICU is a valid and reliable tool for delirium prediction among ICU patients. When introducing CAM‐ICU to assess delirium, it is necessary to localize its language and content to improve its predictive efficacy in different countries and different ethnic groups. Relevance to Clinical Practice: In clinical practice, nurses can use CAM‐ICU to evaluate delirium in critically ill patients in ICU. However, it is necessary to debug the language and content according to the application population. [ABSTRACT FROM AUTHOR]

Interventions designed to address COVID-19 needed to be rapidly scaled up to the population level, and to address health equity by reaching historically marginalized populations most affected by the pandemic (e.g., racial/ethnic minorities and rural and low socioeconomic status populations). From February 2021 to June 2022, SCALE-UP Utah used text messaging interventions to reach 107 846 patients from 28 clinics within seven safety-net health care systems. Interventions provided informational and motivational messaging regarding COVID-19 testing and vaccination, and were developed using extensive community partner input. (Am J Public Health. 2024;114(11):1207–1211. https://doi.org/10.2105/AJPH.2024.307770) [ABSTRACT FROM AUTHOR]

Given the limitations of untargeted metabolomics in precise metabolite quantification, our current research employed a novel approach by integrating untargeted and targeted metabolomics utilizing ultra‐high‐performance liquid chromatography quadrupole time‐of‐flight tandem mass spectrometry (UHPLC‐QTOF‐MS/MS) to analyze the metabolic profile and potential biomarkers for tuberculosis (TB). A cohort of 36 TB patients and 36 healthy controls (HC) was enlisted to obtain serum samples. Multivariate pattern recognition and univariate statistical analysis were employed to screen and elucidate the differential metabolites, whereas dot plots and receiver operating characteristic (ROC) curves were established for the identification of potential biomarkers of TB. The results indicated a distinct differentiation between the two groups, identifying 99 metabolites associated with five primary metabolic pathways in relation to TB. Of these, 19 metabolites exhibited high levels of sensitivity and specificity, as evidenced by the area under curve values approaching 1. Following targeted quantitative analysis, three potential metabolites, namely, L‐asparagine, L‐glutamic acid, and arachidonic acid, were demonstrated excellent discriminatory ability as evidenced by the results of the ROC curve, dot plots, and random forest model. Particularly noteworthy was the enhanced diagnostic efficacy of the combination of these three metabolites compared to singular biomarkers, suggesting their potential utility as serum biomarkers for TB diagnosis. [ABSTRACT FROM AUTHOR]

In this study, upward flame spread over thin charring material under varied ambient pressures and oxygen concentrations diluted with different inert gases was investigated. After symmetric ignition, a small systematic disturbance at the flame base region triggers asymmetric two-sided flames, while the flame tips remain aligned. Afterward, one branch of flame dwells and speeds up in a cycle, associated with periodic smoldering holes, mainly ascribed to the secondary pyrolysis and surface oxidative degradation (smoldering) of the remaining char, while the other branch of flame extinguishes eventually, primarily attributed to the self-induced buoyant blow-off at a low critical Damköhler number associated with finite-rate kinetics. The temperature distribution over the sample surface is obtained by infrared thermal imagers, and six stages of the whole pyrolysis process are roughly divided, which gives a better perspective on the underlying mechanism of these unique combustion behaviors. With the burnout (end) of the primary or secondary pyrolysis processes, the local fuel/oxidant mixture ratio at the flame base region approaches that of the inflammability limit (neutral stable point) where the near-limit flames are extremely sensitive to the environmental disturbances, and thus the flame base instability appears. With the increase of the oxygen concentration, the pressure range of the existence of the unique combustion behaviors narrows down due to intensified chemical reactions and thus the stability of the flame base. Furthermore, compared with the environments diluted in N2, the unique combustion behaviors are more conspicuous in that of CO2 (radiative intervening medium) due to larger molecular weight and lower Lewis number. This investigation into the upward flame propagation will enrich the combustion science at transition regimes such as the fire scenarios after the application of the carbon dioxide fire extinguisher. [ABSTRACT FROM AUTHOR]

Prim-O-glucosylcimifugin (POG) is a chromone derived primarily from Saposhnikovia divaricata (Turcz) Schischk and Cimicifuga simplex. Previous research has shown that POG possesses antibacterial, anticancer, anti-inflammatory, antioxidant, anticonvulsant, antipyretic, and analgesic properties. However, the specific impact of POG on influenza-virus-induced pneumonia is not well understood. In this study, we investigated the protective effects and underlying mechanisms of POG in pneumonia caused by influenza A virus (IAV). In vitro, POG was found to have a protective effect against infections caused by the respiratory viruses respiratory syncytial virus (RSV), human coronavirus OC43, and influenza A virus. POG inhibited A/FM/1/1947(H1N1) infection with an EC50 ranging from 3.01 to 10.43 in vitro. Intraperitoneal infection of mice with POG at a dose of 5 or 10 mg/kg resulted in a reduction in IAV-induced pneumonia, as evidenced by decreased pulmonary edema, improved lung histopathology, and reduced inflammatory cell accumulation. At the higher dose (10 mg/kg), POG treatment significantly increased survival rates, decreased viral titres in the lungs, improved lung histology, and reduced lung inflammation in IAV-infected mice. POG also effectively alleviated pulmonary fibrosis by reducing the levels of fibrotic markers (hydroxyproline [Hyp] and transforming growth factor β1 [TGF-β1]) and suppressing the expression of alpha smooth muscle actin (α-SMA), p focal adhesion kinase (p-FAK), and TGF-β1 in lung tissues. In addition, POG inhibited the expression of the RELA proto-oncogene (RELA), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit delta (PIK3CD), and mitogen- and stress-activated protein kinase 2 (MSK2) in lung tissues. These results indicate that POG may have a protective effect against IAV-induced pneumonia by downregulating the TGF-β1/PI3KCD/MSK2/RELA signalling pathway in the lungs. [ABSTRACT FROM AUTHOR]

STUDY QUESTION Is there an association between male creatinine levels and time to pregnancy (TTP) in couples planning pregnancy? SUMMARY ANSWER Low and high male creatinine concentrations were associated with reduced couple fecundity. WHAT IS KNOWN ALREADY Abundant evidence suggests male creatinine dysfunction is associated with infertility in males with kidney diseases. However, the association of preconception creatinine levels with reduced fecundity among general reproductive-aged couples lacks evidence from an in-depth population study. STUDY DESIGN, SIZE, DURATION Based on the population-based cohort study from the National Free Preconception Check-up Projects, 4 023 204 couples were recruited and met the inclusion criteria from 1 January 2015 to 31 December 2017. They were planning pregnancy and were followed up every 3 months until achieving pregnancy as detected by gynaecological ultrasonography or were followed up for 1 year for the analysis of TTP. PARTICIPANTS/MATERIALS, SETTING, METHODS Cox regression models were used to estimate hazard ratios (HRs) and 95% CI for creatinine deciles. Restricted cubic spline regression was adopted for the dose–response relationship of creatinine with HRs. R statistical software was used for data analysis. MAIN RESULTS AND THE ROLE OF CHANCE Of the included participants, 2 756 538 (68.52%) couples successfully conceived. The median male serum creatinine was 81.50 μmol/l. Compared with the reference group (78.00–81.49 μmol/l) including the median creatinine, fecundity in the first (≤64.89 μmol/l), second (64.90–69.99 μmol/l), third (70.00–73.99 μmol/l), and tenth (≥101.00 μmol/l) deciles decreased by 8%, 5%, 2%, and 1%, respectively (Decile 1 Adjusted HR 0.92, 95% CI 0.91–0.92; Decile 2 Adjusted HR 0.95, 95% CI 0.95–0.96; Decile 3 Adjusted HR 0.98, 95% CI 0.97–0.99; Decile 10 Adjusted HR 0.99, 95% CI 0.98–0.99). An inverse-U-shaped association was consistently presented among males such that non-inferiority for fecundity was shown when creatinine was in the 81.66–104.90 μmol/l range (P for non-linearity < 0.001). For males over 40 years old, the risk of fecundity impairment was more obvious and the recommended range of creatinine levels for TTP was reduced and more narrow, compared with that for younger males. LIMITATIONS, REASONS FOR CAUTION Not including the time couples spend preparing for pregnancy before enrolment would lead to an overestimation of fecundity; additionally some couples place pregnancy plans on hold due to special emergencies, which would not have been recognized. Due to the lack of information regarding semen quality, psychological factors, sexual intercourse frequencies, and hazardous environmental factors, we could not adjust for these factors. Some variates were self-reported and dichotomized, which were prone to bias. Direct variables reflecting muscle mass and impaired kidney function were lacking. Thus, extrapolation should be done with caution. WIDER IMPLICATIONS OF THE FINDINGS Male creatinine is associated with couples' fecundity and the relationship varied by age. This study provides a better understanding of the potential implications and significance of different creatinine levels and their association with the clinical significance regarding couples' fecundity. STUDY FUNDING/COMPETING INTEREST(S) This research has received funding from the National Natural Science Foundation of China (Grant No. 81872634), the Basic Research Funds of Central Public Welfare Research Institutes of China (Grant No. 2023GJZ03), the National Key Research and Development Program of China (Grant No. 2016YFC1000307), and the Project of National Research Institute for Family Planning (Grant No. 2018NRIFPJ03), People's Republic of China. The authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER N/A. [ABSTRACT FROM AUTHOR]

Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning outcomes, etc. as separate domains of IDLE; however, these significant efforts have neither clarified the blurry boundary between semi-structured IDLE practices and unstructured extramural practices nor investigated factors that positively predict learners' IDLE-enhanced learning outcomes or practices on the four language skills: listening, speaking, reading, and writing. As such, the present study sets out to extend the discussion of informal digital learning of English (IDLE) by establishing a recontextualized model of IDLE. To this end, a total of 1080 Chinese university EFL learners were invited to complete an IDLE questionnaire survey developed and validated in the context of China. Using IBM SPSS Amos 22, structural equation modeling was run to examine the inter-factorial relationships among six IDLE sub-constructs by examining eight hypotheses. The results confirm that 1) learners' IDLE-enhanced benefits are positively predicted by support from their important others, resources and cognition, but not learners' authentic L2 experience and IDLE frequency and devices, and 2) learners' IDLE practices can be significantly predicted by resources and cognition, authentic L2 experience, and IDLE frequency and devices. Based on these findings, we put forward an expanded conceptual framework of IDLE and suggest more replication studies in the future to testify this study's generalizability and to arrive at more stable conclusions. [ABSTRACT FROM AUTHOR]

Purpose: Radiotherapy is a critical treatment for early-stage extranodal nasal-type NK/T-cell lymphoma (ENKTL) and has yielded favorable survival outcomes. However, their postradiotherapy quality of life (QOL) has not been investigated. Here, we conducted a cross-sectional study to assess the QOL of ENKTL patients with disease-free survival after definitive radiotherapy and to identify factors associated with QOL and treatment optimization. Methods: This cross-sectional study included 310 patients with stage I–II ENKTL of the upper aerodigestive tract (UADT) who had received simultaneous integrated boost intensity-modulated radiotherapy (SIB-IMRT) with a consistent design and achieved disease-free survival. The median postradiotherapy time was 47.2 months (range, 3.1–115.7). The EORTC QLQ-H&N35 questionnaire was used to assess symptom-related QOL, and nine additional items were added to incorporate nasal, optical, and aural-related symptoms. The scores indicate the severity of the symptoms. Results: The most common postradiotherapy symptoms among patients with ENKTL were nose problems (49.7%), dry mouth (44.8%), tooth problems (41.3%), sensory problems (32.6%), and less sexuality (25.8%). Tooth problems had the highest average score of 18.6, which is still acceptable. The severity of these symptoms decreased over time and reached a plateau in the second year after radiotherapy. Multivariable regression analysis showed that whole-neck irradiation was an independent predictive factor for xerostomia (P = 0.013, OR = 1.114), while age > 60 years was a predictive factor for lower sexuality (P < 0.001, OR = 1.32). Conclusion: The QOL of patients with early-stage ENKTL after radiotherapy was favorable, and most symptoms improved over time. Radiotherapy was correlated with specific symptoms, which may suggest a direction for further improvement in SIB-IMRT. [ABSTRACT FROM AUTHOR]

Background: The current treatment strategies for borderline resectable esophageal squamous cell carcinoma remain controversial. This study aimed to evaluate the efficacy and safety of programmed cell death 1 inhibitors combined with chemotherapy, followed by conversion surgery, for borderline resectable esophageal squamous cell carcinoma. Methods: Patients with borderline resectable esophageal squamous cell carcinoma treated with induction immunochemotherapy from January 1, 2020 to July 1, 2023 at our hospital were retrospectively analyzed. The primary study outcome was the R0 resection rate. Secondary study outcomes included progression-free survival (PFS), overall survival (OS), pathological complete remission (pCR) rate, and safety. Results: Forty patients with borderline resectable esophageal squamous cell carcinoma were included in the analysis. The R0 resection rate was 23/40 (57.5%); the conversion success rate was 27/40 (67.5%), and the pCR rate was 11/40 (27.5%). The median follow-up was 23.6 months (95% CI, 19.1–28.2). One-year OS and PFS rates were 77.7% and 71.8%, respectively. The incidence rate of Grade 3–4 adverse events was 10%. There was a significant difference in PFS between patients who underwent surgery and those who did not (P = 0.008, HR: 0.144 95%CI: 0.034–0.606). However, the difference in OS was not significant (P = 0.128, HR: 0.299 95%CI: 0.063–1.416). Patients who achieved clinical downstaging after induction therapy had significantly better OS (P = 0.004 h: 0.110 95%CI: 0.025–0.495) and PFS (P = 0.0016, HR: 0.106 95%CI: 0.026–0.426) compared to those who did not. Conclusions: Conversion surgery after induction immunochemotherapy is a promising new strategy with a high conversion rate, inspiring R0 resection rate, significant pathological remission rate, and mild toxicity for borderline resectable esophageal squamous cell carcinoma. [ABSTRACT FROM AUTHOR]

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Ultrasonic vibration-assisted joining technology has garnered significant attention in recent years, as it amalgamates the merits of conventional hot and cold joining techniques with ultrasonic vibration-assisted forming technology. It offers significant advantages in achieving advanced joining for difficult-to-weld high-strength alloy materials, improving the mechanical properties of conventional joining methods, and enhancing fatigue strength. Extensive research has been conducted by scholars on ultrasonic-assisted material forming and improving joining performance, which has found practical applications in the formation and joining of various difficult-to-weld high-strength alloys. The present paper provides a concise overview of the fundamental principles and historical development of ultrasonic vibration-assisted joining technology. The effects of various process parameters on ultrasonic vibration-assisted joining joints are also analyzed, and the latest techniques for ultrasonic vibration-assisted joining of several challenging-to-weld high-strength alloys are described. Furthermore, this study presents a comprehensive overview of the most recent advancements and emerging trends in finite element simulation techniques for ultrasonic vibration-assisted joining. The objective of this study is to provide a comprehensive reference for the investigation of ultrasonic vibration-assisted joining technology. [ABSTRACT FROM AUTHOR]

Quasi‐3D plasmonic nanostructures are in high demand for their ability to manipulate and enhance light‐matter interactions at subwavelength scales, making them promising building blocks for diverse nanophotonic devices. Despite their potential, the integration of these nanostructures with optical sensors and imaging systems on a large scale poses challenges. Here, a robust technique for the rapid, scalable, and seamless replication of quasi‐3D plasmonic nanostructures is presented straight from their production wafers using a microbubble process. This approach not only simplifies the integration of quasi‐3D plasmonic nanostructures into a wide range of standard and custom optical imaging devices and sensors but also significantly enhances their imaging and sensing performance beyond the limits of conventional methods. This study encompasses experimental, computational, and theoretical investigations, and it fully elucidates the operational mechanism. Additionally, it explores a versatile set of options for outfitting nanophotonic devices with custom‐designed plasmonic nanostructures, thereby fulfilling specific operational criteria. [ABSTRACT FROM AUTHOR]

Early warnings of enterprise credit risk based on supply chain scenarios are helpful for preventing enterprise credit deterioration and resolving systemic risk. Enterprise credit risk data in the supply chain are characterized by higher‐dimension information and class imbalance. The class imbalance influences the feature selection effect, and the feature subset is closely related to the predictive performance of subsequent learning algorithms. Therefore, ensuring the adaptivity of feature selection and the subsequent class imbalance–oriented classification model is a key issue. We propose an AdaBoost ensemble model with fast nondominated feature selection (AdaFNDFS). AdaFNDFS uses the FNDFS method in the AdaBoost algorithm to iteratively select features and uses the classifier to evaluate the performance of feature subsets to train the class imbalance–oriented classifier and the best‐matched feature subset, ensuring the adaptivity of feature selection and subsequent classifiers. The further use of the differential sampling rate (DSR) method enables AdaFNDFS to integrate more training models with different knowledge and to obtain higher accuracy and better generalization ability for prediction tasks facing high‐dimensional information and class imbalance. A test using credit risk data from Chinese listed enterprises containing supply chain information demonstrates that the prediction scoring indicators, such as AUC, KS, AP, and accuracy, of the AdaFNDFS are better than those of basic models such as LR, LDA, DT, and SVM and multiple hybrid models that use SMOTE, feature selection, and ensemble methods. AdaFNDFS outperforms the basic models by at least 0.0073 (0.0344, 0.0349, and 0.0071) in terms of the AUC (KS, AP, and accuracy). AdaFNDFS has outstanding advantages in predicting enterprise credit risk in the supply chain and can support interested decision‐makers. [ABSTRACT FROM AUTHOR]

Background: Chronic obstructive pulmonary disease (COPD) is a prevalent chronic disorder in China, impacting a significant proportion of individuals aged > 40 years. In China, the prevalence of and risk factors for COPD among non-smokers remain largely unexplored. In this study, we aimed to determine the prevalence of COPD in non-smokers within the Chinese population and identify potential risk factors associated with COPD in non-smokers. Methods: Web of Science, PubMed, Embase, Chinese WanFang, Chinese China National Knowledge Infrastructure, and Weipu databases from inception to August 5, 2024, were searched. Studies reporting the percentage of never-smokers among those diagnosed with COPD and investigations exploring the risk factors associated with COPD in never-smokers in China were examined. Summary proportions and odds ratios (OR), along with their corresponding 95% confidence intervals (95% CI), were measured. Results: In total, 112 investigations with 491,812 participants were included. The percentage of never-smokers in people with COPD was 41.1% (95% CI: 37.5–44.6%). The prevalence of never-smokers among males diagnosed with COPD was 22.3% (95% CI: 18.8–25.7%), which differed from that among women (81.3%, 95% CI: 75.3–87.2%). The results showed an association between the utilization of biomass fuel and the occurrence of COPD in never-smokers (OR: 1.25, 95% CI: 1.06–1.44). Among never-smokers, the data showed a close association between being underweight (OR: 1.89, 95% CI: 1.78–2.00), tuberculosis history (OR: 1.71, 95% CI: 1.53–1.88) and COPD. Never-smokers living in rural areas or those with low educational status were more susceptible to COPD. Conclusion: This review confirmed the highly different proportions of never-smokers among male and female patients with COPD. Trial registration: PROSPERO: CRD42023420786. [ABSTRACT FROM AUTHOR]

Renal fibrosis is a common pathological feature of chronic kidney disease (CKD) with the proliferation and activation of myofibroblasts being definite effectors and drivers. Here, increased expression of Meis1 (myeloid ecotropic viral integration site 1) is observed, predominantly in the nucleus of the kidney of CKD patients and mice, and negatively correlates with serum creatinine. Fibroblast‐specific knock‐in of Meis1 inhibits myofibroblast activation and attenuates renal fibrosis and kidney dysfunction in CKD models. Overexpression of Meis1 in NRK‐49F cells suppresses the pro‐fibrotic response induced by transforming growth factor‐β1 but accelerates by its knockdown. Mechanistically, Meis1 targets protein tyrosine phosphatase receptor J (Ptprj) to block renal fibrosis by inhibiting the proliferation and activation of fibroblasts. Finally, a new activator of Ptprj is identified through computer‐aided virtual screening, which has the effect of alleviating renal fibrosis. Collectively, these results illustrate that the Meis1/Ptprj axis has therapeutic potential for clinically treating CKD. [ABSTRACT FROM AUTHOR]

A photoactive covalent organic framework (COF) was built from metalloporphyrin and bipyridine monomers and single‐atomic Pt sites were subsequently installed. Integrating photosensitizing metalloporphyrin and substrate‐activating Pt(bpy) moieties in a single solid facilitates multielectron transfer and accelerates photocatalytic hydrogen evolution with a maximum production rate of 80.4 mmol h−1 gPt−1 and turnover frequency (TOF) of 15.7 h−1 observed. This work demonstrates that incorporation of single‐atomic metal sites with photoactive COFs greatly enhances photocatalytic activity and provides an effective strategy for the design and construction of novel photocatalysts. [ABSTRACT FROM AUTHOR]