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Digital inclusive finance eases credit constraints on innovative small and medium-sized enterprises which contributes to urban green technology innovation in China. Government intervention plays an essential role in the development of digital inclusive finance. Based on the panel data of 243 cities in China from 2011 to 2019, this paper empirically examines the relationship between digital inclusive finance and urban green technology innovation as well as the intrinsic mechanism of government intervention. The findings show that, even after a series of robustness tests, digital inclusive finance can promote the quantity and quality of green technology innovation. In terms of its mechanism, digital inclusive finance can empower green technology innovation by complementing traditional financial development and stimulating green consumption, both in terms of supply and demand. At the same time, in the dynamic process of digital financial inclusion from low to high, the development of traditional finance and green consumption level on the marginal promotion of green technology innovation continues to strengthen. The nonlinear relationship test reveals that there is a significant double threshold effect on the positive impact of digital inclusive finance on urban green technology innovation with the evolution of government intervention. The innovation incentive effect of digital financial inclusion will be marginal decreasing with the increase of government intervention. Further considering the heterogeneity of urban geographic location and environmental regulation, it is found that digital financial inclusion promotes green technology innovation more in eastern and high-environmental regulation cities. Based on the above research conclusions, this paper argues that while developing digital inclusion finance, government support policies should be adjusted promptly to constantly stimulate the "Metcalfe's law" effect of digital inclusive finance enabling green technology innovation. [ABSTRACT FROM AUTHOR]

Background: Diabetic peripheral neuropathy (DPN) frequently occurs as a secondary condition in individuals with type 2 diabetes mellitus (T2DM). Objective: To explore the relationship of lncRNA FTX and miR-186-5p levels with DPN in T2DM. Methods: The study enrolled 50 patients with T2DM and 45 patients with DPN. Expression levels of FTX and miR-186-5p were measured by RT-qPCR. The levels of MDA, GSH, and SOD in the serum were measured to assess the patients' oxidative stress levels. In addition, the target genes of miR-186-5p were analyzed by bioinformatics. Results: Serum FTX levels were increased and miR-186-5p levels were decreased in patients with T2DM and DPN. Both of them had high diagnostic value for T2DM and DPN. In addition, FTX and miR-186-5p were risk factors for the onset of DPN in people with T2DM and were significantly correlated with oxidative stress indicators in patients. Conclusion: FTX and miR-186-5p are closely related to the disease progression of DPN in people with T2DM and may become therapeutic targets for DPN in people with T2DM. [ABSTRACT FROM AUTHOR]

Purpose: Although the validity of the Epworth Sleepiness Scale (ESS) as an effectiveness measure for sleep apnea treatments such as continuous positive airway pressure (CPAP) has been supported by multiple studies, some researchers continue to challenge it. They suggest that in addition to its impact on relieving patients' daytime sleepiness, CPAP also alters the internal standards patients use to evaluate their sleepiness (i.e., response shift; RS), confounding the meaning of the difference in the ESS scores. We believe an issue yet to be addressed in this debate is that all existing evidence of RS has been obtained through the then-test approach, a retrospective method sensitive to various cognitive mechanisms. Thus, in the current study, we re-examined this issue using the structural equation modeling (SEM) approach, a method that can be directly applied to randomized clinical trial (RCT) data without retrospective measures. Methods: With the ESS data from two independent RCTs, we conducted cross-sectional and longitudinal measure invariance tests in SEM to examine whether CPAP would lead to RS. Results: The ESS demonstrated cross-sectional and longitudinal scalar invariance against CPAP treatments. Its factorial pattern, loadings, and thresholds were invariant between the treatment and control groups and pre- and post-treatment, supporting the comparability of the observed mean ESS scores across time and groups. Conclusion: Our results support the validity of the average difference scores of the ESS for quantifying the effectiveness of CPAP on group-level daytime sleepiness in RCTs with relatively large sample sizes. [ABSTRACT FROM AUTHOR]

This study aimed to establish a feasible dissolution method for inhalation aerosols. A method of collecting fine particles was investigated to capture aerosol particles less than 4 μm in diameter for dissolution tests. This dose collection method enabled the aerosol particles to be uniformly distributed on the glass fiber filter, thus considerably reducing particle agglomeration. Budesonide was used as a model drug. The aerodynamic particle size distribution (APSD) of the meter-dose inhaler (MDI) was compared by replacing actuators with different orifice sizes. Dissolution tests were conducted on fine particle doses collected using various actuators, and the dissolution profiles were modeled. The fine particle dose decreased with an increasing orifice size of the actuator. Actuators with different orifice sizes would affect the dissolution behavior of inhaled drugs. This finding was supported by similarity factor f2 analysis, suggesting the dissolution method has a discriminative capacity. The results of various model fits showed that the dissolution profiles produced by the different actuators could be fitted well using the Weibull mathematical model. The method employed in this study could offer a potential avenue for exploring the relationship between the orifice size of the actuator and the dissolution behavior of inhaled corticosteroids. This dissolution method was simple, reproducible, and suitable for determining the dissolution of inhalation aerosols. [ABSTRACT FROM AUTHOR]

The 0.29PSN-0.36PMN-0.35PT: x mol Nd2O3 (x = 0, 0.01, 0.015, 0.02, 0.025, and 0.03) piezoelectric ceramics are fabricated manufactured through the high-temperature sintering. Nd3+ doping significantly enhanced the piezoelectric and dielectric properties of PSN-PMN-PT, with the ceramic containing 0.025 mol Nd3+ exhibiting the optimal performance: d33 = 890 pC N−1, ɛr = 5735, d33* = 1094 pm V−1, Ec = 4.32 kV cm−1, Tm = 136 °C, and Pr = 4.32 µC cm−2. Phase structure analysis and Rayleigh analysis results show that the excellent dielectric and piezoelectric responses of the ceramic are mainly due to the synergistic effect of MPB and the significant improvement of nano-scale local structural heterogeneity. Moreover, the variation rate of d33 remained as low as 5% in the temperature range from room temperature to 120 °C. These comprehensive findings demonstrate that PSN-PMN-PT: 0.025 mol Nd2O3 ceramics excel in both their piezoelectric capabilities and thermal stability, thus rendering it an attractive material for high sensitivity sensor. [ABSTRACT FROM AUTHOR]

Multi-informant studies are popular in social and behavioral science. However, their data analyses are challenging because data from different informants carry both shared and unique information and are often incomplete. Using Monte Carlo Simulation, the current study compares three approaches that can be used to analyze incomplete multi-informant data when there is a distinction between reference and nonreference informants. These approaches include a two-method measurement model for planned missing data (2MM-PMD), treating nonreference informants' reports as auxiliary variables with the full-information maximum likelihood method or multiple imputation, and listwise deletion. The result suggests that 2MM-PMD, when correctly specified and data are missing at random, has the best overall performance among the examined approaches regarding point estimates, type I error rates, and statistical power. In addition, it is also more robust to data that are not missing at random. [ABSTRACT FROM AUTHOR]

Background: Hemophagocytic Lymphohistiocytosis (HLH) carries a high mortality rate. Current existing risk-evaluation methodologies fall short and improved predictive methods are needed. This study aimed to forecast 30-day mortality in adult HLH patients using 11 distinct machine learning (ML) algorithms. Methods: A retrospective analysis on 431 adult HLH patients from January 2015 to September 2021 was conducted. Feature selection was executed using the least absolute shrinkage and selection operator. We employed 11 ML algorithms to create prediction models. The area under the curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value, F1 score, calibration curve and decision curve analysis were used to evaluate these models. We assessed feature importance using the SHapley Additive exPlanation (SHAP) approach. Results: Seven independent predictors emerged as the most valuable features. An AUC between 0.65 and 1.00 was noted among the eleven ML algorithms. The gradient boosting decision tree (GBDT) algorithms demonstrated the most optimal performance (1.00 in the training cohort and 0.80 in the validation cohort). By employing the SHAP method, we identified the variables that contributed to the model and their correlation with 30-day mortality. The AUC of the GBDT algorithms was the highest when using the top 4 (ferritin, UREA, age and thrombin time (TT)) features, reaching 0.99 in the training cohort and 0.83 in the validation cohort. Additionally, we developed a web-based calculator to estimate the risk of 30-day mortality. Conclusions: With GBDT algorithms applied to laboratory data, accurate prediction of 30-day mortality is achievable. Integrating these algorithms into clinical practice could potentially improve 30-day outcomes. [ABSTRACT FROM AUTHOR]

This article discusses a study that aimed to improve the risk stratification and treatment strategies for patients with t(8;21) acute myeloid leukemia (AML). The researchers used transcriptome data and clinical information from 42 t(8;21) AML patients to identify three distinct transcriptional subgroups. They found that one subgroup, called C1, had a poor prognosis, while the other two subgroups, C2 and C3, had more favorable outcomes. The study also identified specific genetic alterations associated with each subgroup. The findings suggest that transcriptomic profiling can accurately identify high-risk groups and may be more effective than current risk classification methods based on genomic mutations. The researchers recommend further research to validate these findings and guide targeted treatment strategies. [Extracted from the article]

Objective: To evaluate the frequency and prognostic significance of DTA (DNMT3A、TET2、ASXL1) gene mutation and co-occurring mutations in patients with myelodysplastic syndrome (MDS). Methods: The clinical data of 102 newly diagnosed MDS patients who accepted Next Generation Sequencing (NGS) was retrospectively analyzed. According to whether the patients had DTA gene mutation, the patients were divided into DTA mutated (DTA-mut) group and wild type (DTA-wt) group, and the relationship between gene mutation and clinical characteristics and prognosis was analyzed. Results: Among the 102 MDS patients, 96% (98/102) presented with mutation, while the mean number of mutations was 3.04 mutations/patient. DTA-mut was detected in 56.9% (58/102) patients. The most frequent co-mutated genes in DTA-mut group were SF3B1 (25.8%), RUNX1 (24.1%), U2AF1 (18.9%), SRSF2, EZH2, SETBP1 (17.2%), STAG2 (15.5%), IDH2 (12.1%) and BCOR, CBL (10.3%). The two groups showed no significant differences in ages, blood parameters, bone marrow blasts, WHO 2022 classification, IPSS-R risk category and rate of conversion to leukemia. Compared with the DTA-wt group, the mutation frequency of RUNX1 was higher (P = 0.02), while mutation frequency of TP53 was lower (P = 0.001) and the mutation frequency of ≥ 3 co-mutated genes was higher in DTA-mut group (P = 0.00). Survival analysis showed that the overall survivals (OS) of DTA-mut patients was significantly inferior to that of DTA-wt patients (P = 0.0332). According to IPSS-R classification, a statistically significant difference in OS was only observed in higher risk (IPSS-R > 3.5) group (P = 0.0058). In the context of DTA mutation, the OS of patients with RUNX1 mutation was shorter than that of patients without RUNX1 mutation significantly (P = 0.0074). The OS of patients with SF3B1 mutation was longer than that of patients without SF3B1 mutation, but there was no statistical difference (P = 0.0827). DTA mutations were not independent prognostic factors when DTA and co-mutated genes with frequency > 10% were considered in Cox regression model (P = 0.329). However, multivariate analysis confirmed an independently adverse prognosis of RUNX1 co-mutation (P = 0.042, HR = 2.426, 95% CI:1.031–5.711) in DTA-mut cohort. Moreover, our multivariable analysis suggests that SRSF2-mut was an independent poor prognostic factor for all MDS patients (P = 0.047), but lost significance (P = 0.103) for DTA-mut patients. Conclusions: DTA mutations are frequently observed in patients with MDS, often accompanied by genes involved in RNA splicing and transcription factors like SF3B1 and RUNX1. DTA and concomitant mutations affect prognosis in MDS patients and RUNX1 was identified as an independent poor prognostic factor in patients with DTA mutations. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the neutrophil-to-lymphocyte ratio (NLR) as a predictive biomarker for cardiovascular mortality among cancer patients, utilizing data from the National Health and Nutrition Examination Survey (NHANES). From the NHANES dataset (2007–2018), we analyzed 4974 cancer survivors, investigating the prognostic significance of NLR for all-cause, cardiovascular, and cancer-specific mortality. Survival outcomes were analyzed using Cox regression and Kaplan–Meier methods. Optimal NLR cutoffs were identified as 2.61 for differentiating the higher NLR group from lower NLR group. Elevated NLR levels significantly correlated with increased all-cause mortality (HR 1.11, 95% CI 1.07–1.14, P < 0.001) and cardiovascular mortality (HR 1.14, 95% CI 1.08–1.21, P < 0.001) in adjusted models. Subgroup analyses revealed that age, sex, smoking status, and hypertension significantly influence NLR's association with cardiovascular mortality. Specific cancers including breast, prostate, non-melanoma skin, colon and melanoma experience increased all-cause and cardiovascular mortality in the higher NLR group compared to lower NLR group. Elevated NLR is a significant predictor of increased mortality in cancer patients, particularly for cardiovascular outcomes. These findings support that NLR acts as a pivotal prognostic tool with significant implications for clinical practice in the realm of cardio-oncology. [ABSTRACT FROM AUTHOR]

The large leakage accidents of heavy metals from industrial facilities pose a serious environmental problem; however, not enough studies have been conducted to assess the long-term ecological risk associated with such accidents. This study evaluated changes in the bacterial communities within river sediment and identified the key functional microorganisms responding to the 2012 cadmium contamination incident in the Long River, Guangxi Province, China. Results revealed that after a prolonged period of pollution accidents, cadmium pollution still had a discernible effect on the bacterial communities of the river sediment. In comparison to the control site (S1), the bacterial α-diversity in sediments from the accident area (S3) and its downstream (S5) showed a significant increase following the incident. In the control site, Burkholderiaceae was dominant, while in S3 and S5, Pedosphaeraceae, Nitrosomonadaceae, Nitrospiraceae and Geobacteraceae were significantly increased. Sulfur bacteria were found to be more responsive to this cadmium contamination than other bacteria. At site S3, the abundances of Sulfuricurvum, Sulfurifustis, Thioalkalispira, Desulfobacteraceae and Desulfarculaceae were hundreds of times higher than at site S1, indicating an intensification of sulfur cycling processes. The functional prediction implied that cadmium pollution may promote methane oxidation coupled with sulfate reduction reactions and altered the processes of nitrification and denitrification. Environmental factors influencing the microbial community included the levels of metals (cadmium, arsenic, iron) in sediment, as well as other sediment characteristics like temperature and electrical conductivity. These findings contribute to our understanding of the long-term ecological consequences of environmental pollution in river ecosystems. [ABSTRACT FROM AUTHOR]

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Endometrial cancer (EC) is the most common gynecological tumor. Circular RNAs are a novel type of non-coding RNA that have important regulatory functions, particularly in the pathogenic progression of cancer. In this study, we investigated the function of circCCL22, and elucidated its molecular mechanism in EC progresssion. The expression of circCCL22, miR-543 and CDC25A in EC tissues and cells were determined by qRT-PCR and western blot. Cell counting kit-8, 5-ethynyl-2′-deoxyuridine, wound healing and transwell assays were executed to assess the cell viability, proliferation, migration and invasion. Dual-luciferase report assay was utilized to investigate the interaction of miR-543 with circCCL22 and CDC25A. The role of circCCL22 in EC in vivo was investigated by xenograft assay. CircCCL22 was notably upregulated in EC tissues and cells. Functionally, circCCL22 knockdown suppressed EC cell proliferation, migration and invasion in vitro, and inhibited tumor growth in vivo. Mechanistically, circCCL22 acted as "miR-543 sponges" to regulate its targeted gene CDC25A expression in EC cells. The inhibiting effect induced by circCCL22 knockdown on EC cell proliferation, migration and invasion was greatly reversed by miR-543 inhibition or CDC25A overexpression. Our results revealed that circCCL22 regulated EC progression through targeting miR-543/CDC25A axis, and it could be a novel therapeutic target of EC. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the maximum number of limit cycles that can bifurcate from the periodic annulus of the linear center for discontinuous piecewise quadratic polynomial differential systems with four zones separated by two nonlinear curves y = ± x 2 . By analyzing the first order averaged function, we prove that at most 7 crossing limit cycles can produce from periodic annulus of the linear center, and the upper bound is reached. In addition, under particular conditions, we obtain that at least 8 crossing limit cycles can bifurcate from periodic annulus in this class of systems by using the second order averaged function. Our results show that multiple switching curves increase the number of crossing limit cycles in comparison with the case where there is only a single switching curve. [ABSTRACT FROM AUTHOR]

The global antibiotic resistance crisis necessitates urgent solutions. One innovative approach involves potentiating antibiotics and non-antibiotic drugs with adjuvants or boosters. A major drawback of these membrane-active boosters is their limited biocompatibility, as they struggle to differentiate between prokaryotic and eukaryotic membranes. This study reports the chemical biology investigation of a dual-action oligoamidine (OA1) booster with a glutathione-triggered decomposition mechanism. OA1, when combined with other antimicrobial molecules, exhibits a triple-targeting mechanism including cell membrane disruption, DNA targeting, and intracellular enzyme inhibition. This multi-targeting mechanism not only enhances the in vitro and in vivo eradication of antibiotic-resistant "ESKAPE" pathogens, but also suppresses the development of bacterial resistance. Furthermore, OA1 maintains its activity in bacterial cells by creating an oxidative environment, while it quickly decomposes in mammalian cells due to high glutathione levels. These mechanistic insights and design principles may provide a feasible approach to develop novel antimicrobial agents and effective anti-resistance combination therapies. [ABSTRACT FROM AUTHOR]

Since October 2023, a significant outbreak of Mycoplasma Pneumoniae Pneumonia (MPP) has been observed in children in northern China. Chinese health authorities have attributed this epidemiological to immune debt resulting from the relaxation of coronavirus disease 2019 (COVID-19) control measures. This study described the epidemiological features of Mycoplasma pneumoniae (MP) prevalence in children and developed a straightforward prediction model to differentiate between MPP and viral pneumonia in children. The infection rate of MP in children notably increased from 8.12 in 2022 to 14.94% in 2023, peaking between October and November, especially among school-age children. Logistic regression screening identified four key indicators: Age, D-Dimer levels, erythrocyte sedimentation rate, and gender. The developed nomogram exhibited a receiver operator characteristic curve-area under the curve (ROC-AUC) of 0.858, with external validation confirming an ROC-AUC of 0.794. This study examined the epidemiological characteristics of MPP prevalence in children in Shandong Province during and after the COVID-19 pandemic. An early predict model was developed and validated to differentiate between Mycoplasma Pneumoniae and viral infections. [ABSTRACT FROM AUTHOR]

The spatial delays of pulmonary tuberculosis (PTB) have been less explored. In this study, a total of 151,799 notified PTB cases were included, with median patient and diagnostic delays of 15 [interquartile range (IOR), 4–35] and 2 (IOR, 0–8) days, respectively. The spatial autocorrelation analysis and spatial–temporal scan statistics were used to determine the clusters, indicating that the regions in the southwestern and northeastern parts of Zhejiang Province exhibited high rates of long-term patient delay (LPD, delay ≥ 15 days) and long-term diagnostic delay (LDD, delay ≥ 2 days). Besides, the Mantel test indicated a moderately positive correlation between public awareness of suspicious symptoms and the LPD rate in 2018 (Mantel's r = 0.4, P < 0.05). These findings suggest that PTB delays can reveal deficiencies in public health education and the healthcare system. Also, it is essential to explore methods to shift PTB knowledge towards real changes in attitude and behavior to minimize patient delay. Addressing these issues will be crucial for improving public health outcomes related to PTB in Zhejiang Province. [ABSTRACT FROM AUTHOR]

During follicular development, changes in the composition of the follicular fluid are synchronized with the development of oocytes. Our aim was to screen the key factors affecting oocyte maturation and optimize the in vitro culture protocol by understanding the changes of proteins and metabolites in follicular fluid. Follicles are divided into three groups according to their diameter (small follicle fluid (SFF): 10 mm < d < 20 mm; medium follicle fluid (MFF): 20 mm < d < 30 mm; large follicle fluid (LFF): 30 mm < d). Proteins and metabolites from the follicular fluid were analyzed by mass spectrometry. The results showed that: in LFF vs MFF, 20 differential abundant protein (DAP) and 88 differential abundant metabolites (DAM) were screened out; In SFF vs MFF, 3 DAPs and 65 DAMs were screened out; In MFF vs SFF, 24 DAPs and 35 DAMs were screened out. The analysis of differential proteins and metabolites showed that glycerophosphate hydrolysis decreased during follicular development, and proteins played a major role in metabolism and binding. In addition, DAMs and DAPs are co-enriched in the "linoleic acid metabolism" pathway. Combinatorial analysis reveals the dynamic profile of follicular fluid during follicular development and provides fundation for further exploring the function of follicular fluid in Mongolian horse. [ABSTRACT FROM AUTHOR]

The rheological parameters of oil testing fluids play a crucial role in safely conducting oil testing operations, protecting reservoirs, and maintaining wellbore integrity, which are greatly influenced by temperature and pressure. This article conducted rheological experiments on commonly used potassium salt polymer systems and organic salt systems for oil testing fluids in the Bohai Bay Oilfield under 4–200 °C and 30–150 MPa. The experiments revealed the variation of rheological parameters with temperature and pressure. Nine commonly used rheological models were evaluated for their applicability to the two types of oil testing fluids. It was found that the Ross model was suitable for the potassium salt polymer system, while the power-law model was suitable for organic salt oil testing fluids. A new rheological parameter prediction model suitable for wide range of temperature and pressure and different testing fluid systems was proposed based on the optimized results. The average error for the potassium salt polymer system for oil testing fluids was 0.101%, and the error for the organic salt system for oil testing fluids was 0.113%. Both were superior to known rheological models and can meet the requirements of oil testing operations within the wide temperature and pressure range in the Bohai Bay Oilfield. [ABSTRACT FROM AUTHOR]

Objective: Bibliometrics was employed in this study to determine the research trends in the worldwide application of 3D printing technology to treat bone tumors over the previous 10 years. Methods: Published from 2013 to 2022, the papers related to bone tumors treated with 3D printing were located in Web of Science Core Collection (WoSCC), PubMed, and Scopus. The screened articles were included in this bibliometric study. From these papers in WoSCC, information on annual publications, journals, keywords, countries, authors, institutions, and cited references were extracted and visualized with CiteSpace (version 6.1.R6) software to investigate the state of bone tumor treatment using 3D printing as well as research hotspots. The Carrot2 online visualization tool and Vosviewer software (version 1.6.20) were employed to visualize the publications from PubMed and Scopus, respectively, in order to ascertain the most popular research topics from both databases. Results: A total of 606, 233, and 364 publications were obtained from WoSCC, PubMed, and Scopus, respectively, between the years 2013 and 2022. In WoSCC, the peak number of publications was found in 2021, with 145 publications published. Acta Biomaterialia (11 publications) and World Neurosurgery (10 publications) were the most prolific journals, and Biomaterials was the journal cited the most (244 times). Yong Zhou was the most productive author with 14 publications, while Kwok-Chuen Wong (69 citations) and William F Enneking, (69 citations) possessed the most citations. The country with the largest quantity of publications was China (207). Among all institutions, Shanghai Jiao Tong University produced the most publications (29). Rapid prototyping was the keyword with the strongest citation burst (4.73). 'Reconstruction', 'surgery', 'resection', and 'design' caught the significant attention of researchers. 3D-printed materials, pelvic reconstruction, mandibular reconstruction, computer-assisted surgical techniques, photothermal therapy, and in vitro experiments were recognized as hot subjects and trends in current research. The most frequently occurring topics in Scopus are not significantly different from those found in WoSCC. The most prevalent research areas in PubMed encompass implant, patient-specific, bioceramic, models, and pelvic. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the diagnostic accuracy of liver dual-layer spectral-detector CT (SDCT) derived parameters of liver parenchyma for grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF). Methods: Altogether, 320 consecutive subjects who underwent MRI-PDFF and liver SDCT examinations were recruited and prospectively enrolled from four Chinese hospital centers. Participants were classified into normal (n = 152), mild steatosis (n = 110), and moderate/severe(mod/sev) steatosis (n = 58) groups based on MRI-PDFF. SDCT liver parameters were evaluated using conventional polychromatic CT images (CTpoly), virtual mono-energetic images at 40 keV (CT40kev), the slope of the spectral attenuation curve (λ), the effective atomic number (Zeff), and liver to spleen attenuation ratio (L/S ratio). Linearity between SDCT liver parameters and MRI-PDFF was examined using Spearman correlation. Cutoff values for SDCT liver parameters in determining steatosis grades were identified using the area under the receiver-operating characteristic curve analyses. Results: SDCT liver parameters demonstrated a strong correlation with PDFF, particularly Zeff (rs = −0.856; p < 0.001). Zeff achieved an area under the curve (AUC) of 0.930 for detecting the presence of steatosis with a sensitivity of 89.4%, a specificity of 82.4%, and an AUC of 0.983 for detecting mod/sev steatosis with a sensitivity of 93.1%, a specificity of 93.5%, the corresponding cutoff values were 7.12 and 6.94, respectively. Zeff also exhibited good diagnostic performance for liver steatosis grading in subgroups, independent of body mass index. Conclusion: SDCT liver parameters, particularly Zeff, exhibit excellent diagnostic accuracy for grading steatosis. Critical relevance statement: Dual-layer SDCT parameter, Zeff, as a more convenient and accurate imaging biomarker may serve as an alternative indicator for MRI-based proton density fat fraction, exploring the stage and prognosis of liver steatosis, and even metabolic risk assessment. Key Points: Liver biopsy is the standard for grading liver steatosis, but is limited by its invasive nature. The diagnostic performance of liver steatosis using SDCT-Zeff outperforms conventional CT parameters. SDCT-Zeff accurately and noninvasively assessed the grade of liver steatosis. [ABSTRACT FROM AUTHOR]

Stutzerimonas have been extensively studied due to their remarkable metabolic and physiological diversity. However, research on its phages is currently limited. In this study, we isolated a novel double-stranded DNA (dsDNA) phage, vB_SstM-PG1, from the marine environment that infects Stutzerimonas stutzeri G1. Its dsDNA genome is 37204 bp long with a G/C content of 64.14% and encodes 54 open reading frames. The phage possesses a tail packaging structure that is different from known Stutzerimonas stutzeri phages and exhibits structural protein characteristics similar to those of temperate phages. In addition, two genes of toxin-antitoxin system, including YdaS_antitoxin and HEPN_SAV_6107, were found in the vB_SstM-PG1 genome and play important roles in regulating host growth and metabolism. With phylogenetic tree and comparative genomic analysis, it has been determined that vB_ SstM-PG1 is not closely related to any phages previously identified in the GenBank database. Instead, it has a connection with enigmatic, uncultured viruses. Specifically, the vB_SstM-PG1 virus exhibits an average nucleotide identity of over 70% with six uncultivated viruses identified in the IMG/VR v4 database. This significant finding has resulted in the identification of a novel viral genus known as Metabovirus. [ABSTRACT FROM AUTHOR]

Rural tourism is an important way to promote sustainable economic development and boost the comprehensive revitalization of the countryside. The key to promoting rural tourism development lies in solving the development path problem. In this paper, we extracted high-frequency keywords from the text of 2021 World Tourism Alliance—Case of Tourism Contributing to Rural Revitalization through the text mining tool ROST-CM6, generated a common word matrix, and then used Stata17 for cluster analysis, combined with the case in a deep analysis of similar keywords. The results show that the tourism path to realizing rural revitalization is diversified, and there are four paths: ecological development type, industry-driven type, cultural integration type and multiple governance type. [ABSTRACT FROM AUTHOR]

Purpose: The optic nerve sheath meningioma (ONSM) is one of the most challenging tumors in orbital surgery. From the perspective of mental health and patient needs, we analyzed the necessity and importance of the endoscopic transnasal approach (ETA) combined with optic nerve transection (ONT) in gross-total resection (GTR) in ONSM patients with residual vision and aim to broaden the use of ONT for specific people. Methods: The authors included patients with ONSMs who were treated between 2014 and 2022. We divided those cases into two groups named ETA group and lateral orbitotomy approach (LOA) group. We present the application of ETA and analyze the preoperative indication of the ONT and compared the advantages and disadvantages between ETA and LOA. The degree of tumor resection was based on imaging and surgical evaluation. Results: A total of 23 patients with ONSM were included. Sixteen patients underwent ETA, and seven underwent LOA. Among ETA cases, GTR was achieved in 14 patients with ONT and most patients maintained normal eye movement function (75%) and morphology (93.75%). In the ETA group, 14 patients experienced vision loss, while two other patients saw improvements in vision. And proptosis was alleviated (5.20 ± 2.34 vs 0.27 ± 0.46, p < 0.0001). Six patients with blindness and proptosis of the LOA group resulted in GTR with ONT and ophthalmectomy. Although intracranial extension and recurrence included no cases in the two groups, a significant psychological gap was presented due to cosmetic problems. Conclusions: Under the premise of reducing damage and improving aesthetics, the selection of ETA combined with ONT to gross-total resect ONSMs successfully provides a minimally invasive access with acceptable complications. As an important adjunct to GTR in the surgical treatment of ONSM, the scope of ONT application should be expanded to relieve the patient's psychological burden. [ABSTRACT FROM AUTHOR]

To identify the sources of heavy metals in local soils and their risks to human health. This study quantified the concentrations of eight heavy metals in 504 soil samples collected in Tengzhou, China. The ecological risks of a single heavy metal (EI), a comprehensive ecological risk index (RI), and a health risk assessment model were used to evaluate the level of contamination in the city. The results of the research study indicate that there are different levels of heavy metal pollution in rural and urban agricultural areas in Tengzhou. Moreover, the spatial variability of mercury (Hg) is considerable, reaching 0.96, indicating a significant impact of anthropogenic activities. For the ecological risk, the heavy metal element with the highest EI value was mercury with a mean value of 67.22 and a peak value of 776.00. The heavy metal with the lowest mean EI value was Zn with only 1.03. Meanwhile, the average RI is only 128.59, but some areas have an RI as high as 842.2. The sources of heavy metals were identified using principal component analysis, correlation analysis, and an absolute principal component score multiple linear regression model (APCS-MLR). The non-carcinogenic risk for children, the carcinogenic risk for children, and the carcinogenic risk for adults were 1.23, 2.42×10–4 and 1.00×10–4, respectively, and these values exceeded their respective recommended values, and As and Cr had some carcinogenic hazards. Heavy metals in the soil come from natural, industrial, traffic and agricultural sources and represent 39.59%, 29.48%, 25.17% and 5.77%, respectively. The main source of heavy metals in local agricultural soils is the geological background, and the government needs to strengthen the monitoring of As and Cr in drinking water resources, as well as reduce traffic pollution and factory waste emissions to reduce Hg in soils. [ABSTRACT FROM AUTHOR]

Background: Sheep manure and mushroom residue are common agricultural waste which threaten environment but rich in mineral elements and organic matter. Even though fermentation and adding it to soil for crop growth is a commonly used approach, there are concerns about how efficient the fermentation process is and whether the microbial community remains safe for both the crops and those working in agriculture. We have discovered a composite microbial agent, previously known as CMA, that demonstrates significant efficacy in the fermentation of mushroom residue and sheep manure. Despite its high activity, the impact of this microbial agent on soil nutrient release, soil microbial composition, and plant growth remains still uncertain. Results: After fermenting sheep manure and mushroom residue with Bacillus CMA, this study investigated the fermentation products mixed with vermiculite and perlite for the cultivation of tomato. The results demonstrate that the composite substrate align closely within the ideal range for seedling substrates. Notably, compounded with CMA compost products and vermiculite in a 2:1 ratio, yields the most favorable growth for tomato, which may be attributed to the increased nutrient release and most favorable microbial conditions. Moreover, it significantly decreased the abundance of pathogenic bacteria harmful to human and animal health, thereby reducing the risk to individuals engaged in field labor, and mitigating the threat of plant pathogenic bacteria. Conclusions: Sheep manure and mushroom residue fermentation with CMA added significantly promoted tomatoes growth and reduced the risk of diseases in crops, animals, and people. These findings hold significant implications also for the reuse of agricultural biowaste and residues, besides the crop growth and safety of humans and animals in agricultural environments. [ABSTRACT FROM AUTHOR]

Purpose: To confirm if the CYP17A1 gene regulates the ratio of T/E leading to MetS-BPH. Methods: 824 men, aged 47–88 years, were recruited into this study through consecutive routine physical examination programs and long-term outpatient screening. Several parameters, including SNPs of CYP17A1 gene, total testosterone, estradiol, and the ratio of total testosterone to estradiol (T/E) were obtained for each participant. Based on the diagnosis of BPH, MetS, and MetS-BPH, the participants were divided into BPH and non-BPH groups, MetS and non-MetS groups, and MetS-BPH and non-MetS-BPH groups. Values of the obtained parameters were evaluated using one-way analysis of variance, Student's t-test, Chi-squared test, and logistic regression analysis. Results: SNPs of the CYP17A1 gene, including the rs743572 genotypes (GG, GA, and AA), rs3781287 genotypes (GG, GT, TT), and rs4919686 genotypes (CC, CA, and AA), were present in every group. Only the GG genotype of rs743572 was independently associated with BPH (OR = 5.868, 95% CI: 3.363–7.974, P < 0.001), MetS (OR = 7.228, 95% CI: 3.925–11.331, P < 0.001), and MetS-BPH (OR = 3.417, 95% CI: 1.783–5.266, P < 0.001) after adjusting for age. In the population of genotype GG of rs743572, the decrease in T/E ratio was an independent risk factor for BPH (OR = 839.756, 95% CI: 36.978-1334.263, P = 0.001), MetS (OR = 376.988, 95% CI: 12.980-488.976, P < 0.003), and MetS-BPH (OR = 388.236, 95% CI: 24.869-495.363, P = 0.003). Conclusion: The GG genotype of rs743572 in CYP17A1 gene regulating the decrease of T/E ratio can be an independent risk factor for MetS-BPH populations. Trial registration number: ChiCTR2200057632 "retrospectively registered". Date of registration: March 15, 2022 "retrospectively registered". [ABSTRACT FROM AUTHOR]

The ball screw is a vital component in the feed drive systems of machine tools. It is susceptible to thermal errors that significantly impact its accuracy. Current thermal error modeling methods for ball screws face significant challenges in achieving full-time series prediction. Furthermore, these methods impose stringent requirements for a complex temperature data collection process, further constrained by the compact structure of machine tools. Additionally, valuable working condition data in thermal error prediction remains underutilized. This paper proposes a new hybrid-driven model that combines mechanism and data-driven approaches to achieve full-time series thermal error prediction of ball screws. The proposed model utilizes the operating rotational speed as a key input parameter, eliminating the need for temperature collection during the modeling stage and the compensation process. The temperature model is proposed as a mechanism-driven model based on heat transfer theory to calculate the temperature of the thermal sensitive points by utilizing operating rotational speed. The accuracy of the model is validated through thermal characteristic experiments of ball screws under four different working conditions. The data-driven models based on different traditional neural networks are established to predict thermal errors according to the time series temperature data from the temperature model. Moreover, hyperparameters of different neural networks are optimized by the Beetle Antennae Search (BAS). Comparative analysis among different neural network-based hybrid-driven models reveals that the convolutional neural network (CNN) model optimized by BAS consistently exhibits lower absolute errors predominantly below 10 μm, as well as lower root mean squared error (RMSE) and mean absolute error (MAE) values in each working condition. The BAS-CNN model, within the hybrid-driven model framework, is better suited for the full-time series prediction of thermal errors in ball screws. The BAS-CNN model is a foundation for thermal error compensation by utilizing working condition data. [ABSTRACT FROM AUTHOR]

In this work, we test the cosmic distance duality relation (CDDR) by comparing the angular diameter distance (ADD) derived from the transverse Baryon Acoustic Oscillations (BAO) data with the luminosity distance (LD) from the Pantheon type Ia supernova (SNIa) sample. The binning method and Gaussian process are employed to match ADD data with LD data at the same redshift. First, we use nonparametric and parametric methods to investigate the impact of the specific prior values of the absolute magnitude M B from SNIa observations and the sound horizon scale r s from transverse BAO measurements on the CDDR tests. The results obtained from the parametric and non-parametric methods indicate that specific prior values of M B and r s lead to significant biases on the CDDR test. Then, to avoid these biases, we propose a method independent of M B and r s to test CDDR by considering the fiducial value of κ ≡ 10 M B 5 r s as a nuisance parameter and then marginalizing its influence with a flat prior in the analysis. No violation of the CDDR is found, and the transverse BAO measurement can be used as a powerful tool to verify the validity of CDDR in the cosmological-model-independent method. [ABSTRACT FROM AUTHOR]

Cadmium (Cd) contamination of farmland soils leads to Cd accumulation in crops and reduced micronutrient uptake, posing grave risks to food safety. Herein, we investigated the enrichment and transportation patterns of Cd and trace elements in different parts of six wheat genotypes grown in weakly alkaline Cd-contaminated soils via pot experiments. The results revealed that the wheat grain variety with high Cd accumulation (Ningmai13) demonstrated a 1.94-fold increase compared to the variety with low accumulation (Yanong0428). The transfer factor of Cd from wheat straw to grain ranged from 0.319 to 0.761, while the transfer factor of Cd from root to straw ranged from 0.167 to 0.461. Furthermore, the concentrations of other metals in wheat grains followed the order of Zn > Mn > Fe > Cu. There was a significant positive correlation between Cd and Mn in grains, indicating a potential synergistic effect. Overall, this study provides valuable insights into the regulation of micronutrient intake to modulate Cd uptake in wheat. [ABSTRACT FROM AUTHOR]

The commercialization of perovskite solar cells is badly limited by stability, an issue determined mainly by perovskite. Herein, inspired by a natural creeper that can cover the walls through suckers, we adopt polyhexamethyleneguanidine hydrochloride as a molecular creeper on perovskite to inhibit its decomposition starting from the annealing process. The molecule possesses a long-line molecular structure where the guanidinium groups can serve as suckers that strongly anchor cations through multiple hydrogen bonds. These features make the molecular creeper can cover perovskite grains and inhibit perovskite decomposition by suppressing cations' escape. The resulting planar perovskite solar cells achieve an efficiency of 25.42% (certificated 25.36%). Moreover, the perovskite film and device exhibit enhanced stability even under harsh damp-heat conditions. The devices can maintain >96% of their initial efficiency after 1300 hours of operation under 1-sun illumination and 1000 hours of storage under 85% RH, respectively. The decomposition of perovskite materials during annealing could impact on their stability. Here, the authors adopt a molecular creeper to inhibit perovskite decomposition by suppressing the escape of cations, achieving certified efficiency of 25.36% for solar cells with operational stability. [ABSTRACT FROM AUTHOR]

Renal recovery following dialysis-requiring acute kidney injury (AKI-D) is a vital clinical outcome in critical care, yet it remains an understudied area. This retrospective cohort study, conducted in a medical center in Taiwan from 2015 to 2020, enrolled patients with AKI-D during intensive care unit stays. We aimed to develop and temporally test models for predicting dialysis liberation before hospital discharge using machine learning algorithms and explore early predictors. The dataset comprised 90 routinely collected variables within the first three days of dialysis initiation. Out of 1,381 patients who received acute dialysis, 27.3% experienced renal recovery. The cohort was divided into the training group (N = 1135) and temporal testing group (N = 251). The models demonstrated good performance, with an area under the receiver operating characteristic curve of 0.85 (95% CI, 0.81–0.88) and an area under the precision-recall curve of 0.69 (95% CI, 0.62–0.76) for the XGBoost model. Key predictors included urine volume, Charlson comorbidity index, vital sign derivatives (trend of respiratory rate and SpO2), and lactate levels. We successfully developed early prediction models for renal recovery by integrating early changes in vital signs and inputs/outputs, which have the potential to aid clinical decision-making in the ICU. [ABSTRACT FROM AUTHOR]

Aims: Several studies have reported dietary microorganisms' beneficial effects on human health. We aimed to detect the potential association between dietary live microbe intake and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM) through a cross-sectional analysis of the National Health and Nutrition Examination Survey from 1999 to 2018. Methods: According to the Sanders classification system of dietary live microbes, the study participants were divided into three groups: low, medium, and high live microbe groups. In patients with T2DM, DKD was assessed by glomerular filtration rate (< 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration algorithm), proteinuria (urinary albumin to creatinine ratio ≥ 30 mg/g), or both. Weighted univariate and multivariate logistic regression and subgroup analyses were conducted to investigate the independent association between dietary live microbe and DKD. Results: The study included 3836 participants, of whom 1467 (38.24%) had DKD for the diagnosis. Our study demonstrated that participants in the high dietary live microbe group were more likely to be older, female, non-Hispanic White, have higher education levels, have a lower prevalence of smoking, have a high poverty-income ratio, have higher energy intake, lower haemoglobin (HbA1c) and serum creatinine levels, and lower risk of progression. After adjustment for covariates, patients in the high dietary live microbe group had a low prevalence of DKD, whereas no significant association with DKD was found between the medium and low dietary live microbe groups. No statistically significant interaction was observed in all subgroup analyses except for HbA1c (p for interaction < 0.05). Conclusions: Our results indicate that high dietary live microbe intake was associated with a low DKD prevalence. [ABSTRACT FROM AUTHOR]

The intelligent fault diagnosis model has made a significant development, whose high-precision results rely on a large amount of labeled data. However, in the actual industrial environment, it is very difficult to obtain a large amount of labeled data. It will make it difficult for the fault diagnosis model to converge with limited labeled industrial data. To address this paradox, we propose a novel unsupervised domain adaptation framework (M-Net) for fault diagnosis of rotating machinery, which only requires unlabeled industrial data. The M-Net will be pretrained using the labeled data, which can be accessed through the labs. In this stage, we propose a multi-scale feature extractor that can extract and fuse multi-scale features. This operation will generalize the features further. Then, we will align the distribution of the labeled data and unlabeled industrial data using the generator model based on multi-kernel maximum mean discrepancy. This will reduce the distribution distance between the labeled data and the unlabeled industrial data. For now, the unsupervised domain adaptation problem has shifted to a semi-supervised domain adaptation problem. The results, obtained through experimental comparison, demonstrate that the M-Net can achieve an accuracy of over 99.99% with labeled data and a maximum transfer accuracy of over 99% with unlabeled industrial data. [ABSTRACT FROM AUTHOR]

Synergistic control of the frequency and orbital angular momentum (OAM) of light offers new opportunities for the generation of spatio-temporal optical waveforms and optical metrology. However, their physical realizations are typically bulky and complex owing to challenges in creating, manipulating and detecting mutually coherent, high-dimensional OAM states. Here we achieve combined control over the frequency and the OAM of a comb structure on a photonic chip. Dissipative optical solitons are formed in a nonlinear ring microresonator and emitted owing to engraved angular gratings, with each comb line carrying a distinct OAM. The beam of such a vortex soliton microcomb manifests dynamically revolving, double-helical intensity profiles. The one-to-one correspondence between the OAM and frequencies features a high extinction ratio of over 18.5 dB, enabling precision spectroscopy of optical vortices. Our work provides an integrated solution for realizing coherent light sources that are multiplexed in the spatial and frequency domains, with the potential to establish a new approach to the generation of high-dimensional structured light. Nonlinear microring resonators can generate a vortex soliton microcomb, that is, a frequency comb with each comb line carrying a distinct orbital angular momentum. [ABSTRACT FROM AUTHOR]

The potential functional role(s) of heat shock protein 70 (Hsp70) in the brine shrimp, Artemia franciscana, a crucial crustacean species for aquaculture and stress response studies, was investigated in this study. Though we have previously reported that Hsp70 knockdown may have little or no impact on Artemia development, the gestational survival and number of offspring released by adult females were impaired by obscuring Hsp70 synthesis. Transcriptomic analysis revealed that several cuticle and chitin synthetic genes were downregulated, and carbohydrate metabolic genes were differentially expressed in Hsp70-knockdown individuals. A more comprehensive microscopic examination performed in this study revealed exoskeleton structural destruction and abnormal eye lenses featured in Hsp70-deficient adult females 48 h after Hsp70 dsRNA injection. Cysts produced by these Hsp70-deficient broods, instead, had a defective shell and were smaller in size, whereas nauplii had shorter first antennae and a rougher body epicuticle surface. Changes in carbohydrate metabolism caused by Hsp70 knockdown affected glycogen levels in adult Artemia females, as well as trehalose in cysts released from these broods, indicating that Hsp70 may play a role in energy storage preservation. Outcomes from this work provided novel insights into the roles of Hsp70 in Artemia reproduction performance, cyst formation, and exoskeleton structure preservation. The findings also support our previous observation that Hsp70 knockdown reduced Artemia nauplius tolerance to bacterial pathogens, which could be explained by the fact that loss of Hsp70 downregulated several Toll receptor genes (NT1 and Spaetzle) and reduced the integrity of the exoskeleton, allowing pathogens to enter and cause infection, ultimately resulting in mortality. [ABSTRACT FROM AUTHOR]

Difunctionalization of alkynes represents a powerful and straightforward approach to the synthesis of complex molecules. However, the radical difunctionalization of alkynes mediated by bifunctional reagents remains challenging and underexplored, despite significant progress having been made in alkene difunctionalization. Here, we report a novel arylsulfonylacetate skeleton in which aryl rings are attached to acetates through SO2, serving as a powerful bifunctional reagent for the alkylarylation of alkynes via vinyl-radical intermediate under photoredox conditions. This modular bifunctional reagent enables the simultaneous incorporation of a wide range of functional groups, including (hetero)aryl ring and alkyl carboxylate into alkynes, resulting in synthetically valuable all-carbon tetrasubstituted alkene derivatives. This transformation is distinguished by its redox-neutral nature, readily accessible starting materials, compatibility with diverse functional groups and its capacity to facilitate convergent synthesis. The utility of this approach was further demonstrated by the late-stage functionalization of complex molecules and the preparation of fluorescent molecules and anti-cancer drugs. [ABSTRACT FROM AUTHOR]

Organic matter is the basis for oil and gas generation, and the depositional environment controls its enrichment. The first member of the Qingshankou Formation (K2qn1) in Songliao Basin has a thick organic-rich shale and so is an important target section for shale oil exploration and development. In the Gulong Sag, shale samples from this unit were collected over the full length of the section. The characterization of the environments of deposition (EOD) of K2qn1 was improved by utilizing lithological characteristics, thin section observations, elemental compositions, and organic carbon concentrations. Combined with the normalization coefficients proposed in this paper, an organic matter correlation model was established to elucidate the factors that influence organic matter enrichment. From the bottom to the top of K2qn1, the lake depth gradually becomes shallower, the primary productivity first decreases and then increases, the reducing conditions become stronger and then weaker, the water salinity gradually decreases, the climate first becomes semi-humid and then warm and humid, and the input of terrigenous debris first decreases and then increases. A major marine transgression at the base of the K2qn1's brought in nutrients to increase primary productivity, and the density-stratified reducing environment preserved and enriched organic matter. High primary productivity occurred during the middle of the deposition of the K2qn1, while terrigenous input is low. Organic matter is preserved in reduced deep lake environments, resulting in organic matter-rich black shale. The lake became shallower, and the salinity decreased in the upper part of K2qn1. Benthic organisms rapidly multiplied, consuming large amounts of oxygen and destroying the previously depositional environment, resulting in a reducing environment disturbed by benthic organisms with poor preservation conditions and the lowest organic matter content. [ABSTRACT FROM AUTHOR]

The presence of viral diseases poses a significant challenge to the high-quality, efficient, and sustainable production of apples. Virus eradication and the use of virus-free plants are currently the most crucial method for preventing viral diseases. Among the viruses affecting apples, apple stem grooving virus (ASGV) and apple chlorotic leaf spot virus (ACLSV) present particular challenges in efficient eradication from apples. This study investigated the effects of exogenous salicylic acid (SA) treatment on the efficient eradication of ASGV and ACLSV from apple cultivar ‘Yanfu 8’. Shoots were excised from in vitro 4-week-old stock and cultured in shoot proliferation medium supplemented with 10 μM SA combining thermotherapy with shoot tip culture or cryotherapy for ASGV and ACLSV eradication. The results showed that including of 10 μM SA in thermotherapy significantly reduced the concentrations of ASGV and ACLSV by 33% and 14% in shoots compared to thermotherapy without SA. SA treatment also improved the shoot tips survival and regrowth after combining 2 or 4 weeks of thermotherapy followed by shoot tip culture or shoot tip cryotherapy, while maintaining the higher (75–100%) of virus eradication efficiencies. Therefore, the application of SA in combination with thermotherapy followed or not by cryotherapy proves to be a promising approach for enhancing the efficiency of virus eradication in apple.Key Message: The establishment of a salicylic acid combining thermotherapy with shoot tip culture or cryotherapy of apple shoots provided technical support for the eradication of apple viruses in apple plants. [ABSTRACT FROM AUTHOR]

Cuprotosis, a new type of cell death, provides great opportunities for the treatment of oral squamous cell carcinoma, as nanocarriers of copper ions can induce cuprotosis and immunogenic death. Here, we studied an editor that enables production of a nanoparticle "storm" in oral squamous cell carcinoma, maximizing the toxic effect of these particles and reprogramming the tumor microenvironment; as a result, T cells and natural killer (NK) cells can infiltrate the tumor microenvironment to activate an antitumor immune response. On this basis, the editor can be combined with optical therapy to improve patient prognosis. In this study, the metal ratio was regulated in response to the nanocarrier of acid response type. Thus, in the presence of a specific copper ion content, the nanocarrier could change the permeability of the tumor cell membrane. Based on these results, the nanoparticles were cracked in an acidic environment and then released copper ions. Finally, the nanoparticles contributed to cuprotosis and immunogenic death. In addition, the editor could inhibit murine oral cancer 1 (MOC1) tumors in C57BL/6 without toxicity. The rate of tumor growth inhibition was as high as approximately 80%. This strategy provides a new idea for immunotherapy. Moreover, it can improve the interaction between immunotherapy and the copper-induced death of oral squamous cell carcinoma. Above all, this study will provide a new opportunity for the effective treatment of oral squamous cell carcinoma. [ABSTRACT FROM AUTHOR]

Chirality constitutes an inherent attribute of nature. The catalytic asymmetric synthesis of molecules with central, axial, and helical chirality is a topic of intense interest and is becoming a mature field of research. However, due to the difficulty in synthesis and the lack of a prototype, less attention has been given to planar chirality arising from the destruction of symmetry on a single planar ring. Herein, we report the catalytic asymmetric synthesis of planar-chiral dianthranilides, a unique class of tub-shaped eight-membered cyclic dilactams. This protocol is enabled by cinchona alkaloid-catalyzed (dynamic) kinetic resolution. Under mild conditions, various C2- or C1-symmetric planar-chiral dianthranilides have been readily prepared in high yields with excellent enantioselectivity. These dianthranilides can serve as an addition to the family of planar-chiral molecules. Its synthetic value has been demonstrated by kinetic resolution of racemic amines via acyl transfer, enantiodivergent synthesis of the natural product eupolyphagin, and preliminary antitumor activity studies. Chirality has long fascinated chemists, but asymmetric synthesis has largely focused on central, axial, and helical chirality to date. Here, the authors synthesize dianthranilides with planar chirality, via cinchona alkaloid-catalyzed (dynamic) kinetic resolution. [ABSTRACT FROM AUTHOR]

Objectives: The purpose of this review is to investigate the relationship between gastrointestinal microbiome, obesity, and gestational diabetes mellitus (GDM) in an objective manner. Methods: We conducted a thorough and comprehensive search of the English language literatures published in PubMed, Web of Science, and the Cochrane Library from the establishment of the library until 12 December 2023. Our search strategy included both keywords and free words searches, and we strictly applied inclusion and exclusion criteria. Meta-analyses and systematic reviews were prepared. Results: Six high-quality literature sources were identified for meta-analysis. However, after detailed study and analysis, a certain degree of heterogeneity was found, and the credibility of the combined analysis results was limited. Therefore, descriptive analyses were conducted. The dysbiosis of intestinal microbiome, specifically the ratio of Firmicutes/Bacteroides, is a significant factor in the development of metabolic diseases such as obesity and gestational diabetes. Patients with intestinal dysbiosis and obesity are at a higher risk of developing GDM. Conclusions: During pregnancy, gastrointestinal microbiome disorders and obesity may contribute to the development of GDM, with all three factors influencing each other. This finding could aid in the diagnosis and management of patients with GDM through further research on their gastrointestinal microbiome. [ABSTRACT FROM AUTHOR]

The flexibility and stability of transparent electrodes play a crucial role in the growing popularity of flexible devices, especially in potential wearable electronics. To date, various solution-coating techniques have been developed for fabricating silver nanowire (AgNW) flexible bioelectronics. However, achieving the orderly distributed patterns of AgNW without undesirable aggregations still poses a grand challenge. Here, an approach to realize regular patterned ultrathin AgNW networks on a freestanding electrospun PVDF-TrFE frame by evaporation-induced self-assembly is proposed. The patterning mechanism of evaporating AgNW colloidal suspension is investigated from experimental and theoretical analysis. The influence of evaporation-induced flow inside colloidal freestanding membranes on forming regular square hole-shaped arrays, selective deposition of AgNW, and aligning them along the artificial pinning array are addressed. Owing to the orderly arrangement of AgNW networks, the resultant flexible electrode achieves ultrathin thickness (about 5 μm), high optical transmittance (87.8%), and low sheet resistance (8.4 Ω·sq−1) with a relatively low dosage of AgNW (9 μg·cm−2). The electrode exhibits excellent durability during cyclic bending (50,000 times) and stretching (50% strain). The resistance remains virtually unchanged during 200 days in everyday environments. Furthermore, the excellent conformability and breathability of the flexible transparent electrode attached to the human skin demonstrates its potential application as an e-skin sensor. Our findings reliably urge a simple approach to underscore better outcomes with effective patterns by self-assembly of AgNW for highly conformal wearable electronics. [ABSTRACT FROM AUTHOR]

Blood orange (BO) is a rare red-fleshed sweet orange (SWO) with a high anthocyanin content and is associated with numerous health-related benefits. Here, we reported a high-quality chromosome-scale genome assembly for Neixiu (NX) BO, reaching 336.63 Mb in length with contig and scaffold N50 values of 30.6 Mb. Furthermore, 96% of the assembled sequences were successfully anchored to 9 pseudo-chromosomes. The genome assembly also revealed the presence of 37.87% transposon elements and 7.64% tandem repeats, and the annotation of 30,395 protein-coding genes. A high level of genome synteny was observed between BO and SWO, further supporting their genetic similarity. The speciation event that gave rise to the Citrus species predated the duplication event found within them. The genome-wide variation between NX and SWO was also compared. This first high-quality BO genome will serve as a fundamental basis for future studies on functional genomics and genome evolution. [ABSTRACT FROM AUTHOR]