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Abstract Remineralization is a common strategy for the repair of early demineralized tooth enamels, but the harsh dynamic oral environment often hampers its efficacy. Rapid remineralization is expected to address this challenge, however, the stabilizers of remineralization materials often resist their transformation required for repair. Here, by dissolving the ions of calcium and phosphate in glycerol-dominant solvents, we obtain the calcium phosphate clusters (1–2 nm), which are stabilized by glycerol (with high viscosity and affinity to clusters), but can perform a fast enamel repair via the water-triggered transformation in both static and dynamic environments. Upon the in vitro and in vivo (female Sprague-Dawley rats) studies, the clusters swiftly enter the nano-/micro-sized enamel defect sites, then form a compact hydroxyapatite repair layer within a short time (30 min, much faster than the conventional materials), and significantly recovers mechanical properties. This material is promising for large-scale preparation and applications in dental remineralization.

Abstract Combined immune checkpoint blockade (ICB) and chemoradiation (CRT) is approved in patients with locally advanced cervical cancer (LACC) but optimal sequencing of CRT and ICB is unknown. NRG-GY017 (NCT03738228) was a randomized phase I trial of atezolizumab (anti-PD-L1) neoadjuvant and concurrent with CRT (Arm A) vs. concurrent with CRT (Arm B) in patients with high-risk node-positive LACC. The primary endpoint was the fraction of expanded tumor-associated T-cell receptor (TCR) clones in blood at day 21 as a surrogate measure of anti-tumor immune response. Secondary objectives were safety and feasibility, 2-year disease-free survival (DFS), and predictive value of PD-L1 expression. Forty patients were randomized, 36 received treatment, and 25 were evaluable for the primary endpoint. After cycle 1, there was peripheral expansion of higher proportion of tumor-associated TCR clones in Arm A than in Arm B (p = 0.0025) that remained higher at day 21, meeting the pre-specified endpoint on two-sample T-test (p = 0.052), but not on sensitivity analysis by Wilcoxon test (p = 0.13). At the median follow up of 25.8 months, 2-year DFS was 76% in Arm A and 56% in Arm B (p = 0.28). There were no new safety signals. In conclusion, neoadjuvant ICB prior to CRT was safe and was associated with immunologically and clinically favorable outcomes, warranting larger confirmatory studies.

Dielectric capacitors, as physical powers, are critical components of advanced electronics and pulse power systems. However, achieving high energy efficiency without sacrificing recoverable energy density remains a challenge for most dielectric materials. In this work, the aliovalent Sm3+ doped Ba0.12Na0.3Bi0.3Sr0.28TiO3 (BNBST) relaxor ferroelectric at the A site was used to design a defect-induced phase/domain structure to improve polarization switching. A high energy efficiency of 91%, together with a recoverable energy density of 2.1 J/cm3, was achieved in Sm0.07–BNBST ceramics at a low electric field of 114 kV/cm, exceeding those of other dielectric materials under the same electric field. In addition, Sm0.07–BNBST ceramics exhibit good energy storage stability and endurance and fast charging‒discharging speeds, demonstrating their great potential in electrostatic capacitor applications. This work provides an approach to achieve high-performance dielectrics through aliovalent rare earth doping and builds a close relationship between the defect-engineered phase/domain structure and polarization switching for energy storage.

Abstract Background The Revised Body Awareness Rating Questionnaire (BARQ-R) is a self-report measure of body awareness. First aim: evaluate the structural validity of BARQ-R with Rasch analysis in community-dwelling Americans with and without musculoskeletal pain. Subaim: validate a Rasch analysis of BARQ-R done in Norwegian adults with musculoskeletal pain, through a secondary analysis in our sample of Americans with musculoskeletal pain. Methods BARQ-R has 12 items with scores ranging from 0 (completely disagree) to 3 (completely agree), with higher total scores reflecting lower degrees of body awareness. Through Rasch analysis, we evaluated unidimensionality, item hierarchy, and structural validity with item and person fit, targeting, person separation reliability (PSR), local item dependence (LID), differential item functioning (DIF), and principal components analysis of residuals (PCAR). Results We recruited 623 adults with and without musculoskeletal pain (average age = 50.27 ± 17.25 years). After rescoring 1 item and deleting 3 items, the 9-item Rasch-based BARQ-R had no misfitting items, the hierarchical ordering of the items followed clinical expectations, 3 (0.48%) misfitting persons, person mean location: -0.62 ± 1.03 logits (max -0.53, min 0.72 logits), minimal floor effect (1.93%) and ceiling effect (0.48%), no DIF, and PSR = 0.72. LID was found in 5 item pairs. The PCAR’s eigenvalue was 2.18. The secondary Rasch analysis in 152 adults with musculoskeletal pain (average age = 52.26 ± 16.13 years), demonstrated that, after rescoring 2 items, BARQ-R had no misfitting items and only 2 (1.32%) misfitting persons, good targeting (person mean location: -0.36 ± 0.88 logits), minimal floor effect (0.01%), no ceiling effect (0.00%), and PSR = 0.75. LID was found in 6 item pairs. The PCAR’s eigenvalue was 2.47. Conclusions BARQ-R had good item and person fit. PSR with items covering a limited logit range suggests that differing levels of body awareness are measured with only modest precision. Adding and revising items to cover a wider range of body awareness and to better address concepts of internal body awareness and body movements would improve BARQ-R’s utility. Further analyses are needed before BARQ-R’s use for research or in the clinic. In addition, future BARQ-R Rasch validation is needed in other populations with body awareness deficits, such as stroke or spinal cord injury.

Abstract Background Rice ECQ (eating and cooking quality) is an important determinant of rice consumption and market expansion. Therefore, improvement of ECQ is one of the primary goals in rice breeding. However, ECQ-related quantitative trait loci (QTL) have not yet been fully revealed. The present study aimed to identify a major effect QTL for rice taste, an important component of ECQ via genotyping-by-sequencing, to reveal the associated molecular mechanisms, and to predict key candidate genes. Results A population of F9 recombinant inbred lines resulting from a cross between R668 (national standard of high-quality third class) and R838 (common edible rice) was used to construct a high-density genetic map (2,295.062 cM). The map comprises 639,504 markers distributed on 12 linkage elements with an average genetic distance of 0.004 cM. We detected a major taste-related QTL, qECQ8, which explained 41.4% of phenotypic variance and had LOD values of 4.42–7.73. Using a five-generation NIL population from the backcross of “Ganxiangzhan No. 1” carrying qECQ8 with the recurrent parent R838 (without qECQ8), we narrowed qECQ8 to a 187.5 kb interval between markers M33 and M37 on Chr8. Comparative transcriptomic analysis revealed that photosynthesis, glyoxylate and dicarboxylate metabolism, carbon fixation in photosynthetic organisms, and alpha-linolenic acid metabolism were induced in developing seeds of lines containing qECQ8. Furthermore, we identified two candidate genes in the qECQ8 region, including LOC_Os08g30550 (zinc knuckle family protein), a major candidate for genetic-assisted breeding of high-quality rice. Conclusion Our findings provide important genetic resources for targeted improvement of rice taste quality and may facilitate the genetic breeding of rice ECQ.

Abstract How the lung achieves immune homeostasis after a pulmonary infection is not fully understood. Here, we analyzed the spatiotemporal changes in the lungs over a 2-week natural recovery from severe pneumonia in a Syrian hamster model of SARS-CoV-2 infection. We find that SARS-CoV-2 infects multiple cell types and causes massive cell death at the early stage, including alveolar macrophages. We identify a group of monocyte-derived Slamf9 + macrophages, which are induced after SARS-CoV-2 infection and resistant to impairment caused by SARS-CoV-2. Slamf9 + macrophages contain SARS-CoV-2, recruit and interact with Isg12 + Cst7 + neutrophils to clear the viruses. After viral clearance, Slamf9 + macrophages differentiate into Trem2 + and Fbp1 + macrophages, contributing to inflammation resolution at the late stage, and finally replenish alveolar macrophages. These findings are validated in a SARS-CoV-2-infected hACE2 mouse model and confirmed with publicly available human autopsy single-cell RNA-seq data, demonstrating the potential role of Slamf9 + macrophages and their coordination with neutrophils in post-injury tissue repair and inflammation resolution.

Abstract How immune cells are spatiotemporally coordinated in the lung to effectively monitor, respond to, and resolve infection and inflammation in primed form needs to be fully illustrated. Here we apply immunocartography, a high-resolution technique that integrates spatial and single-cell RNA sequencing (scRNA-seq) through deconvolution and co-localization analyses, to the SARS-CoV-2-infected Syrian hamster model. We generate a comprehensive transcriptome map of the whole process of pulmonary infection from physiological condition, infection initiation, severe pneumonia to natural recovery at organ scale and single-cell resolution, with 142,965 cells and 45 lung lobes from 25 hamsters at 5 time points. Integrative analysis identifies that alveolar dendritic cell–T cell immunity hubs, where Ccr7 + Ido1 + dendritic cells, Cd160 + Cd8 + T cells, and Tnfrsf4 + Cd4 + T cells physiologically co-localize, rapidly expand during SARS-CoV-2 infection, eliminate SARS-CoV-2 with the aid of Slamf9 + macrophages, and then restore to physiological levels after viral clearance. We verify the presence of these cell subpopulations in the immunity hubs in normal and SARS-CoV-2-infected hACE2 mouse models, as well as in publicly available human scRNA-seq datasets, demonstrating the potential broad relevance of our findings in lung immunity.

Background: Parkinson's disease (PD) is a neurological condition characterized by complex genetic basic, and the reliable diagnosis of PD remained limited. Objective: To identify genes crucial to PD and assess their potential as diagnostic markers. Methods: Differentially expressed genes (DEGs) were screened from the PD tissue dataset and blood dataset. Two machine learning methods were used to identify key PD-related genes. The genes were validated in an independent dataset. Further validation using 120 peripheral blood mononuclear cells (PBMCs) from PD patients. The clinical significance and the diagnostic value of the genes was determined. The function of genes was analyzed and verified by cells experiments. Results: Thirteen common upregulated genes were identified between PD tissue dataset and blood dataset. Two machine learning methods identify three key PD-related genes (GPX2, CR1, ZNF556). An independent dataset and PBMCs samples results showed increased expression in PD patients. Clinical analysis showed that GPX2 and CR1 expression correlated with early-stage PD. The validated dataset of blood samples revealed each three gene showed moderate diagnostic potential for PD, with combined analysis outperforming individual gene analysis (AUC:0.701). The PBMCs samples showed similar diagnostic value of each gene, and the combination of the three genes presented better diagnostic value (AUC:0.801). Functional studies highlighted the involvement of these genes in key pathways in PD pathology. The results of SH-SY5Y cells showed that these three genes increased from PD cell model. Conclusions: GPX2, CR1, ZNF556 were critical to the development of PD and might serve as diagnostic markers for PD.

Abstract Osteoarthritis (OA) is associated with metabolic imbalance of articular cartilage and an increase of intracellular reactive oxygen species (ROS). Synergistic therapy based on the codelivery of ROS scavengers and antisense oligonucleotides (ASO) into chondrocytes has the potential to effectively treat OA. Here, we developed a novel biocompatible metal‐organic framework (MOF)‐encapsulated nanozyme/ASO delivery platform (miR/IrO2@ZIF‐8) for OA treatment. IrO2 nanoparticles with the catalytic activities of superoxide dismutase/catalase were synthesized using a hydrothermal method, resulting in excellent ROS scavenging performance. IrO2 was further loaded into zeolitic imidazolate framework‐8 (ZIF‐8) to maintain its catalytic efficacy and regulate its size, surface charge, and biocompatibility to enhance the therapeutic effect of the platform. As an effective ASO delivery carrier, the synthesized IrO2@ZIF‐8 exhibited high antagomiR‐181a loading and lysosomal escape capacity, enabling it to rebalance cartilage metabolism. In vitro experiments showed that miR/IrO2@ZIF‐8 could restore ROS levels, mitochondrial membrane potential, and lipid peroxidation in chondrocytes. At the same time, the expression levels of proinflammatory markers (IL‐1β, IL‐6, and COX‐2) as well as the extracellular matrix degrading enzymes (ADAMTS‐5 and MMP13) were downregulated, indicating effective antioxidant, anti‐inflammatory, and anticartilage degradation effects. Notably, miR/IrO2@ZIF‐8 was able to deliver IrO2 nanoparticles and antagomiR‐181a to the cartilage tissue at a depth of up to 1.5 mm, thus solving the problems of poor permeability and difficult retention of drugs in cartilage tissue. This further improves the synergistic therapeutic effect on OA by inhibiting cartilage degradation. The combination of MOF‐encapsulated IrO2 nanozymes with antagomiR‐181a has an excellent therapeutic effect on OA, offering a promising translational medicine paradigm.

BackgroundNeuroleptic malignant syndrome (NMS) is a rare but potentially life-threatening adverse drug reaction. This study aims to identify the most prevalent drugs associated with the risk of NMS according to the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.MethodsAnalyses were performed using data from the FAERS database from January 2004 to June 2024. Single-drug signals were evaluated using the reporting odds ratio (ROR), proportional reporting ratio (PRR), information component (IC), and empirical Bayes geometric mean (EBGM). Meanwhile, comparisons were performed with drug labels. Additionally, subgroup analysis was conducted, focusing on adverse drug reaction signals among populations of different genders and age groups.ResultsA total of 10,433 adverse event reports related to NMS were identified, with the top 50 drugs ranked by ROR mainly involving antipsychotics (18, 36%), antiparkinson drugs (10, 20%), antidepressants (7, 14%), antiepileptics (3, 6%), anxiolytics (3, 6%), as well as hypnotics and sedatives (3, 6%). NMS is more prevalent in males (5,713, 54.76%). Among the top 20 drugs with the strongest signal strength, the pediatric group showed an additional presence of benzodiazepines and antiepileptic drugs compared to the adult group.ConclusionThe current comprehensive pharmacovigilance study identified more drugs associated with NMS and provides references to clinicians for clinical practice. Also, further research is needed to investigate the causal relationship between these drugs and NMS.

Background Inflammation and metabolic disturbances are key culprits in the pathogenesis of obesity‐associated cardiomyopathy. The NLRP3 (nucleotide‐binding oligomerization domain‐like receptor 3) inflammasome mediates the release of the proinflammatory cytokines IL‐1β (interleukin‐1β) and IL‐18 by activating caspase‐1, which is strongly implicated in metabolic disturbances. We here sought to determine whether NLRP3 inflammasome inhibition could ameliorate obesity cardiomyopathy and if so, to further explore its underlying mechanisms. Methods and Results Male mice were fed a high‐fat diet for 24 weeks to induce obesity cardiomyopathy. MCC950 was used to inhibit NLRP3 inflammasome activation. Recombinant adeno‐associated virus serotype 9 encoding TXNIP (thioredoxin‐interacting protein) under cTnT (cardiac troponin T) promoter and the mitochondrial‐targeted antioxidant MitoTEMPO were injected into obese mice to investigate the specific mechanism. To mimic obesity cardiomyopathy in vitro, neonatal rat ventricular myocytes transfected with the small interfering RNA against TXNIP were incubated with 400 μmol palmitic acid for 24 hours. NLRP3 inflammasome was significantly increased in obese hearts. NLRP3 inflammasome inhibition by NLRP3 deletion or MCC950 prevented obesity‐induced cardiac systolic and diastolic dysfunction, myocardial hypertrophy and fibrosis, and excessive lipid accumulation in male mice. Conversely, TXNIP overexpression worsened obesity‐associated cardiomyopathy. Similarly, MCC950 treatment or TXNIP knockdown reduced palmitic acid‐induced NLRP3 inflammasome activation and lipid storage. Mechanistically, abnormal NF‐κB (nuclear factor kappa B) pathway activation, increased mitochondrial reactive oxygen species, and elevated TXNIP levels led to excessive NLRP3 inflammasome activation. Conclusions Our study confirms that aberrant NLRP3 inflammasome activation in cardiomyocytes worsens obesity‐associated cardiomyopathy and implicates inhibition of NLRP3 inflammasome as a potent therapeutic approach for obesity cardiomyopathy.

Abstract Background Limited research has explored the potential association between the Triglyceride-Glucose (TyG) and mortality, especially in individuals with Helicobacter pylori (H. pylori) infection. This study seeks to investigate the correlation between the TyG index and H. pylori infection and investigate whether the associations between the TyG index exposure and all-cause mortality are mediated by H. pylori infection. Methods The study utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018, incorporating a final sample size of 2,187 participants. Both univariable and multivariable-adjusted logistic regression analyses were employed to examine the relationship between H. pylori infection and relevant covariates. To assess the association between TyG index, and all-cause mortality in individuals with or without H. pylori infection, Cox regression analysis, and restricted regression cubic spline analysis were implemented. Results A significant positive correlation was observed between the TyG index and an elevated risk of H. pylori infection [OR 1.157, 95% CI (1.383 ~ 1.664)]. This correlation persisted even after adjusting for confounding factors [OR 1.189, 95% CI (1.003, 1.411), P

Abstract Purpose This study aims to investigate the association of serum TSH with BMD in Chinese adults with normal thyroid function. Methods These participants were divided into tertiles based on serum TSH levels. Linear regression model and multinomial logistic regression models were used to analyze the associations of continuous BMD and categorical BMD with serum TSH, respectively. Results In women younger than 60 years, BMD decreased with the increase of TSH at normal level, while in women older than 60 years, BMD increased with the increase of TSH at normal level; besides, the BMD of women younger than 60 years old was significantly higher than that of women over 60 years old (156.05 ± 39.34 mg/cm3 vs. 86.95 ± 29.51 mg/cm3, P

Abstract Background Phylogeographic studies have gained prominence in linking past geological events to the distribution patterns of biodiversity, primarily in mountainous regions. However, such studies often focus on plant taxa, neglecting the intricate biogeographical patterns of microbes, particularly soil microbial communities. This article explores the spatial distribution of the nematode-trapping fungus Arthrobotrys oligospora, a widespread microorganism, in a tectonically active region at the southeastern edge of the Qinghai-Tibetan Plateau. By analysing the genetic variation of this fungus alongside the historical structure of major river watersheds, we sought to uncover potential connections between the two. Our study involved sampling 149 strains from 116 sites across six major watersheds in the region. Results The resulting haplotype network revealed five distinct clusters, each corresponding closely to a specific watershed. These clusters exhibited high haplotype diversity and low nucleotide diversity, supporting the notion of watershed-based segregation. Further analysis of haplotypes shared across watersheds provided evidence for three proposed past river connections. In particular, we found numerous shared haplotypes between the Yangtze and Mekong basins, as well as between the Yangtze and the Red basins. Evidence for a Irrawaddy-Salween-Red and a Yangtze-Pearl-Red river connections were also portrayed in our mapping exercise. Conclusions These findings emphasize the crucial role of historical geomorphological events in shaping the biogeography of microbial biodiversity, alongside contemporary biotic and abiotic factors. Watershed perimeters emerged as effective predictors of such patterns, suggesting their suitability as analytical units for regional-scale studies. Our study also demonstrates the potential of microorganisms and phylogeographic approaches to complement traditional geological analyses, providing a more comprehensive understanding of past landscape structure and its evolution.

Abstract Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging bunyavirus that causes severe viral hemorrhagic fever and thrombocytopenia syndrome with a fatality rate of up to 30%. No licensed vaccines or therapeutics are currently available for humans. Here, we develop seven monoclonal antibodies (mAbs) against SFTSV surface glycoprotein Gn. Mechanistic studies show that three neutralizing mAbs (S2A5, S1G3, and S1H7) block multiple steps during SFTSV infection, including viral attachment and membrane fusion, whereas another neutralizing mAb (B1G11) primarily inhibits the viral attachment step. Epitope binning and X-ray crystallographic analyses reveal four distinct antigenic sites on Gn, three of which have not previously been reported, corresponding to domain I, domain II, and spanning domain I and domain II. One of the most potent neutralizing mAbs, S2A5, binds to a conserved epitope on Gn domain I and broadly neutralizes infection of six SFTSV strains corresponding to genotypes A to F. A single dose treatment of S2A5 affords both pre- and post-exposure protection of mice against lethal SFTSV challenge without apparent weight loss. Our results support the importance of glycoprotein Gn for eliciting a robust humoral response and pave a path for developing prophylactic and therapeutic antibodies against SFTSV infection.

Abstract Objectives To use T1ρ mapping to assess myocardial fibrosis and to provide a reference for future clinical application, it is necessary to understand the factors influencing T1ρ values. This study explored the influence of different spin-locking frequencies on T1ρ values under a 3.0-T MR system. Methods Fifty-seven healthy subjects were prospectively and consecutively included in this study, and T1ρ mapping was performed on them in 3 short-axis slices with three spin-lock frequencies at the amplitude of 300 Hz, 400 Hz, and 500 Hz, then nine T1ρ images were acquired per subject. Four T1ρ-weighted images were acquired using a spin-lock preparation pulse with varying durations (0 msec, 13.3 msec, 26.6 msec, 40 msec). T1ρ relaxation times were quantified for each slice and each myocardial segment. The results were analyzed using Student’s t-test and one-way analysis of variance (ANOVA) methods. Results Mean T1ρ relaxation times were 43.5 ± 2.8 msec at 300 Hz, 44.9 ± 3.6 msec at 400 Hz, and 46.2 ± 3.1 msec at 500 Hz, showing a significant progressive increase from low to high spin-lock frequency (300 Hz vs. 400 Hz, p = 0.046; 300 Hz vs. 500 Hz, p

Abstract Background Glioma is the most common primary brain tumor with high mortality and disability rates. Recent studies have highlighted the significant prognostic consequences of subtyping molecular pathological markers using tumor samples, such as IDH, 1p/19q, and TERT. However, the relative importance of individual markers or marker combinations in affecting patient survival remains unclear. Moreover, the high cost and reliance on postoperative tumor samples hinder the widespread use of these molecular markers in clinical practice, particularly during the preoperative period. We aim to identify the most prominent molecular biomarker combination that affects patient survival and develop a preoperative MRI-based predictive model and clinical scoring system for this combination. Methods A cohort dataset of 2,879 patients was compiled for survival risk stratification. In a subset of 238 patients, recursive partitioning analysis (RPA) was applied to create a survival subgroup framework based on molecular markers. We then collected MRI data and applied Visually Accessible Rembrandt Images (VASARI) features to construct predictive models and clinical scoring systems. Results The RPA delineated four survival groups primarily defined by the status of IDH and TERT mutations. Predictive models incorporating VASARI features and clinical data achieved AUC values of 0.85 for IDH and 0.82 for TERT mutations. Nomogram-based scoring systems were also formulated to facilitate clinical application. Conclusions The combination of IDH-TERT mutation status alone can identify the most distinct survival differences in glioma patients. The predictive model based on preoperative MRI features, supported by clinical assessments, offers a reliable method for early molecular mutation prediction and constitutes a valuable scoring tool for clinicians in guiding treatment strategies.

AIM: To figure out whether various atropine dosages may slow the progression of myopia in Chinese kids and teenagers and to determine the optimal atropine concentration for effectively slowing the progression of myopia. METHODS: A systematic search was conducted across the Cochrane Library, PubMed, Web of Science, EMBASE, CNKI, CBM, VIP, and Wanfang database, encompassing literature on slowing progression of myopia with varying atropine concentrations from database inception to January 17, 2024. Data extraction and quality assessment were performed, and a network Meta-analysis was executed using Stata version 14.0 Software. Results were visually represented through graphs. RESULTS: Fourteen papers comprising 2475 cases were included; five different concentrations of atropine solution were used. The network Meta-analysis, along with the surface under the cumulative ranking curve (SUCRA), showed that 1% atropine (100%)>0.05% atropine (74.9%) >0.025% atropine (51.6%)>0.02% atropine (47.9%)>0.01% atropine (25.6%)>control in refraction change and 1% atropine (98.7%)>0.05% atropine (70.4%)>0.02% atropine (61.4%)>0.025% atropine (42%)>0.01% atropine (27.4%)>control in axial length (AL) change. CONCLUSION: In Chinese children and teenagers, the five various concentrations of atropine can reduce the progression of myopia. Although the network Meta-analysis showed that 1% atropine is the best one for controlling refraction and AL change, there is a high incidence of adverse effects with the use of 1% atropine. Therefore, we suggest that 0.05% atropine is optimal for Chinese children to slow myopia progression.

Abstract In the era of the digital economy, rural e-commerce has emerged as a compelling catalyst for driving the modernization of agriculture and rural areas. It has given rise to notable exemplars such as “Taobao villages” and “Taobao towns”, paving the way for scalable pathways toward rural revitalization. The transition from Taobao villages to Taobao towns signifies the evolution of rural e-commerce from scattered nodes to interconnected networks, reflecting a significant development trend. While existing studies have primarily focused on the spatiotemporal patterns of Taobao villages, limited research has been conducted on the spatiotemporal characteristics and the underlying evolution mechanism of Taobao towns. To fill the research gap, this study investigates the spatial-temporal evolution of Taobao towns employing geospatial methods and identifies key contributing factors using GeoDetector in China. The results show that: (1) The coverage of Taobao towns expands year by year in all provinces and cities, showing a “T-shaped and three-center” spatial pattern with a decreasing gradient from southeast to northwest. (2) Taobao towns in the central area are developing rapidly and are becoming an emerging development center. (3) The development of Taobao towns is the result of a combination of multiple factors, including regional economic base, social environment, market atmosphere, transportation conditions, infrastructure construction, etc. The study can provide Chinese experience for rural development and transformation.

Background: The association between smoking and dementia incidence remains controversial, while education is considered a cognitive safeguard. This study aims to explore the joint effect of smoking and education on incident dementia. Methods: We enrolled 1647 community-dwelling residents, and divided them into three groups: non-smoker (Smoking Index [SI, cigarette-years] = 0), mild-smoker (0 < SI < 265), and severe-smoker (SI ≥ 265). Their education was categorized to high or low level (formal education > 9 or ≤ 9 years). Dementia diagnosis was established according to the Diagnostic and Statistical Manual of Mental Disorders IV. Cox proportional hazards models were used for the analysis, and three indicators of additive interaction between low education and severe smoking were calculated. Results: We identified 167 cases (10.1 %) of incident dementia during the 8544.2 person-years of follow-up. After adjusting for age, gender, and APOE ε4, a multiplicative interaction between severe smoking and low education was observed (Hazard Ratio (HR) = 4.01, 95 % CI: 1.29-12.48, P = 0.017), as well as an additive interaction between the two risk factors, with Relative Excess Risk due to Interaction was 2.63 (P = 0.017), Attributable Proportion due to Interaction was 0.60 (P < 0.001), and Synergy Index was 4.46 (P = 0.022), and compared to highly educated non-smokers, less educated severe smokers had a 3.38-fold increased risk of dementia (HR = 4.38, 95 %CI: 2.50-7.67, P < 0.001). Conclusion: Severe smoking and low education may have synergistic effect on incident dementia. Targeted tobacco control interventions are crucial for dementia prevention.

To avoid the step of manual feature engineering when predicting crystal properties, a graph convolutional neural network based on the dual attention mechanism, named DA-CGCNN, is proposed. It fuses both the channel attention mechanism and self-attention mechanism, named the dual attention mechanism, benefiting from capturing the complex features of each atom and dependencies between atomic nodes better. It is found to have comparable or superior performance to other advanced graph neural network (GNN) models by predicting five properties of the crystal: formation energy, total energy, bandgap, Fermi energy, and density. In addition, cross-property transfer learning is conducted on the computed properties from four small-sample crystal materials. The results show better performance on transferring prediction from these four samples. The proposed model in this study significantly improves the accuracy of crystal property prediction and demonstrates excellent prediction performance by incorporating transfer learning techniques. In summary, this work is important in accelerating the prediction of crystalline material properties and the discovery and design of crystalline materials.

Lu’an Guapian (LAGP) tea is one of the most famous teas in China. However, research on its suitable processing varieties is still lacking. This study analyzed the quality of LAGP tea made from three different tea varieties, namely, ‘Anhui1’ (AH1), ‘Quntizhong’ (QTZ), and ‘Shuchazao’ (SCZ), using molecular sensory science and metabolomics techniques. The results showed that AH1 had a strong floral aroma and the strongest umami flavor, while QTZ had a distinct roasted aroma and a mellow taste. SCZ had a cooked corn-like aroma and the highest bitterness and astringency owing to the high tea polyphenol contents and low free amino acid contents. The study also identified 12 key aroma-active compounds, with trans-beta-ionone and 2-ethyl-3,5-dimethyl-pyrazine contributing the most to floral and roasted aromas, respectively. The results of this study provide a theoretical and practical basis for selecting and breeding high-quality varieties of LAGP tea and stabilizing its quality.

The behavior and influence mechanisms of trace elements in Antarctic ecosystems are particularly complex and important. This study aims to assess the ecological risk to the Fildes Peninsula by systematically analyzing the distribution of trace elements, and provides a scientific basis for the protection of the Antarctic ecosystem. Trace element concentrations in the soils of the Fildes Peninsula are highest for Fe, Al, and Mg, with notable differences in distribution due to varying topographies and landscapes. Principal component analysis reveals strong correlations among Zn, Fe, Mn, Co, and Cu, and distinct patterns for Na, Ca, As, and Cr. Moss demonstrates a high enrichment capacity for Cu and Zn, often accumulating them to higher levels than soil, with significant spatial variation observed. The bioaccumulation factors (BAF) for K and Ag exceed 1 at all 12 stations, indicating a high capacity for bioaccumulation. Over half of the stations show BAF values greater than 1 for Na, Ca, and Cd, while the other trace elements have BAF values greater than 1 at only limited stations. The geo-accumulation index (Igeo) shows most trace elements in the Fildes Peninsula soils are unpolluted, with Mg, Mn, Cr, and Ni concentrations varying between unpolluted and moderate pollution, and all potential ecological risk index (PERI) values under 150 indicating low ecological risk.

ABSTRACT Mass extinction has often paved the way for rapid evolutionary radiation, resulting in the emergence of diverse taxa within specific lineages. The emergence and diversification of carnivorous nematode-trapping fungi (NTF) in Ascomycota have been linked to the Permian-Triassic (PT) extinction, but the processes underlying NTF radiation remain unclear. We conducted phylogenomic analyses using 23 genomes that represent three NTF lineages, each employing distinct nematode traps—mechanical traps (Drechslerella spp.), three-dimensional (3D) adhesive traps (Arthrobotrys spp.), and two-dimensional (2D) adhesive traps (Dactylellina spp.), and the genome of one non-NTF species as the outgroup. These analyses revealed multiple mechanisms that likely contributed to the tempo of the NTF evolution and rapid radiation. The species tree of NTFs based on 2,944 single-copy orthologous genes suggested that Drechslerella emerged earlier than Arthrobotrys and Dactylellina. Extensive genome-wide phylogenetic discordance was observed, mainly due to incomplete lineage sorting (ILS) between lineages. Two modes of non-vertical evolution (introgression and horizontal gene transfer) also contributed to phylogenetic discordance. The ILS genes that are associated with hyphal growth and trap morphogenesis (e.g., those associated with the cell membrane system and polarized cell division) exhibited signs of positive selection.IMPORTANCEBy conducting a comprehensive phylogenomic analysis of 23 genomes across three NTF lineages, the research reveals how diverse evolutionary mechanisms, including ILS and non-vertical evolution (introgression and horizontal gene transfer), contribute to the swift diversification of NTFs. These findings highlight the complex evolutionary dynamics that drive the rapid radiation of NTFs, providing valuable insights into the processes underlying their diversity and adaptation.

IntroductionThe oil and gas production industry requires rapid changing. As oil and gas companies around the world are called upon to decarbonize, several sectors within the industry are attempting to find new ways of working to achieve decarbonization. One of those sectors is spare parts warehousing. During the past decades of oil and gas production, spare parts warehousing has not been prioritized in optimization measures. Warehouses have been filled with material, all activities have been performed manually, and financial expenditure has been high. Now, a large oil and gas production company in Norway is looking to optimize its spare parts warehousing to streamline its logistics activities and increase sustainability.MethodThis study addresses the optimization ambitions of the company and proposes key design elements of a smart warehouse management system using Industry 4.0 technology implementation. The study is conducted by performing a review of relevant literature and company ambitions, before embarking on a qualitative design measure to contribute to the company’s innovative success.ResultsThe study proposes optimization of the warehouse activities goods receipt, issuing of stocked goods, and inventory count. Additionally, the digital supply chain of tomorrow and the technical architecture of a track and trace system in the warehouse is suggested.DiscussionThe study’s results can be used in practical implications and provide a foundation for future research. Future research is suggested to include extensive visual simulations, practical implementation studies, and studies on long-term effects of implementation.

Abstract Ovarian cancer is high recurrence and mortality malignant tumor. The most common ovarian cancer was High‐Grade Serous Ovarian Cancer. However, High‐Grade Serous Ovarian Cancer organoid is rare, which organoid with patient immune microenvironment and blood vessels even absence. Here, we report a novel High‐Grade Serous Ovarian Cancer organoid system derived from patient ovarian cancer samples. These organoids recapitulate High‐Grade Serous Ovarian Cancer organoids' histological and molecular heterogeneity while preserving the critical immune microenvironment and blood vessels, as evidenced by the presence of CD34+ endothelial cells. Whole exome sequencing identifies key mutations (CSMD3, TP53, GABRA6). Organoids show promise in testing cisplatin sensitivity for patients resistant to carboplatin and paclitaxel, with notable responses in cancer proteoglycans and p53 (TP53) signaling, like ACTG/ACTB1/AKT2 genes and BBC3/MDM2/PERP. Integration of immune microenvironment and blood vessels enhances potential for novel therapies like immunotherapies and angiogenesis inhibitors. Our work may provide a new detection system and theoretical basis for ovarian cancer research and individual therapy.