Pingchong Jiangni recipe through nerve growth factor/transient receptor potential vanilloid 1 signaling pathway to relieve pain in endometriosis model rats.

ETHNOPHARMACOLOGICAL RELEVANCE: Pingchong Jiangni recipe (PJR) is often used in the treatment of endometriosis (EM). This formula has been clinically validated by the State Administration of Traditional Chinese Medicine Key Specialties Collaborative Group for its therapeutic efficacy. Recently, our research team also confirmed that PJR has a shrinking effect on ovarian chocolate cysts. Additionally, PJR was also found to have a shrinking effect on EM lesions; however, the mechanism by which this effect occurs remains unclear. AIM OF THE STUDY: To explore the mechanisms by which PJR relieves pain in patients with EM. MATERIALS AND METHODS: A rat model of EM was established by autologous transplantation. PJR (3.78 g/kg, 7.56 g/kg, and 15.12 g/kg) was orally administered for 21 days. The rat grimace scale (RGS) score and paw withdrawal threshold (PWT) were measured at a fixed time during the experiment. Hematoxylin and eosin staining was performed to observe histopathological changes in EM rats after administration, enzyme-linked immunosorbent assay to evaluate the plasma expression of tumor necrosis factor-α (TNF-α) and nerve growth factor (NGF), and immunohistochemistry and western blotting to identify differences in the expression of pain-related factors in EM rats. RESULTS: The medium-dose group of PJR (7.56 g/kg) had the best effect on relieving pain in EM rats by reducing RGS, increasing PWT, reducing the ectopic endometrium, improving the cellular structure of the lesion, and reducing TNF-α and NGF levels. However, PJR significantly decreased the expression of transient receptor potential vanilloid 1 (TRPV1), phosphorylated TRPV1 (p-TRPV1), protein kinase C (PKC), and NGF. CONCLUSION: The mechanism by which PJR relieves EM pain may be through the downregulation of NGF, PKC, and TRPV1 expression.

Jingfang Granules () alleviates bleomycin-induced acute lung injury through regulating PI3K/Akt/mTOR signaling pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury is a kind of clinical emergency severe syndrome which might trigger acute respiratory distress syndrome. Jingfang Granules () is a traditional Chinese medicine which has been proven to improve acute lung injury induced by bleomycin through inhibiting recruitment and overactive of inflammation. However, the potential mechanisms are still not well evaluated. AIM OF STUDY: The aim of this study was to evaluate the protective function of Jingfang Granules on bleomycin caused acute lung injury and further discuss the potential pharmacological mechanisms. MATERIALS AND METHODS: C57BL/6J mice were intratracheal injected bleomycin to induce model with acute lung injury. The protective impact of Jingfang Granules on acute lung injury and lung fibrosis triggered by bleomycin were evaluated through detecting mice body weight, lung appearance, lung index, and histopathology. The potential pharmacological mechanism of Jingfang Granules in treating acute lung injury was further elucidated by the methods of network pharmacology, proteomics, metabolomics, as well as western blot. Additionally, the network pharmacology analysis and molecular docking technology were integrated to investigate the targets of Jingfang Granules improving acute lung injury. RESULTS: Our results indicated that Jingfang Granules effectively protected mice from acute lung injury induced by bleomycin, which was confirmed by higher body weight, lower pulmonary edema and lung index, and improved pathology and fibrosis of lung tissue compared to model group. Proteomics, western blot, and metabolomics were integrated and the results confirmed that Jingfang Granules regulated the Glycolysis/Gluconogenesis and Pyruvate metabolism through downregulating the PI3K/Akt/mTOR signaling pathway. The network pharmacology analysis and molecular docking technology results showed that the targets of Jingfang Granules for treating acute lung injury were enriched in the PI3K/Akt signaling pathway, which included 7 target proteins such as MAPK1, MAPK3, JAK2, HRAS, EGFR, PIK3R1, and PIK3CA. CONCLUSION: This study indicates that Jingfang Granules displays a markedly protective effect on acute lung injury caused by bleomycin through downregulating PI3K/Akt/mTOR signaling pathway, which in turn regulates Glycolysis/Gluconogenesis and Pyruvate metabolism.

Yi Qi Chu Tan Formula (YQCTF) inhibited the progress of lung cancer via regulating tumor-associated neutrophil: An integrated study of network pharmacology, proteomics and pharmacodynamics.

ETHNOPHARMACOLOGICAL RELEVANCE: Yi Qi Chu Tan Formula (YQCTF), a prescription consisting of eight traditional Chinese medicine for treating lung cancer, has been clinically proven to be effective in improving the life quality and prolonging the survival time of non-small cell lung cancer (NSCLC) patients. AIM OF THE STUDY: This study aimed to evaluate the therapeutic efficacy of YQCTF on NSCLC mice model and further explore its therapeutic targets by using network pharmacology, proteomics and pharmacodynamic methodologies. MATERIALS AND METHODS: The network pharmacology analysis was firstly conducted to screen out the potential active ingredients and therapeutic targets of YQCTF against NSCLC. Three kinds of extracts, i.e. the water extract (WE), water extraction-alcohol precipitation (WEAP) and alcohol extract (AE) of YQCTF were prepared, which chemical compositions were subsequently analyzed by using ultra-high performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS), and which anti-neoplastic efficacy was examined on NSCLC mice model. Mice tumor tissues were collected for proteomics analysis, and the immunomodulatory effects of YQCTF extracts on the tumor microenvironment (TME) were further validated by using flow cytometry, immunofluorescence, ELISA and Western blot. RESULTS: Network pharmacology identified 60 conjunct genes and ample cancer-related signaling pathways as potential therapeutic targets of YQCTF. Protein-protein interaction (PPI), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that YQCTF might negatively regulate cancer-related inflammation. UPLC-MS/MS analysis showed that the main components of YQCTF include at least ginsenosides, solasodine, solamargine, solasonine, peimisine, peiminine, peimine and sipeimine-3ß-D-glucosihde. All kinds of YQCTF extracts significantly inhibited the growth of lung cancer allograft and regulated the ratio of immune cells in tumor tissues, i.e. upregulated the fractions of T cells, promoted the maturation of dendritic cells (DCs), increased the M1/M2 ratio of tumor-related macrophages, but reduced the number of Tregs and immunosuppressive neutrophils. Proteomics identified neutrophils to be the most prominently enriched target linked to NETs formation in mice tumor tissue, which is verified by the downregulation of neutrophil recruiting factors involving IL-6, HIF-1α and IL-8, as well as the decreases of NETs-related biomarkers including H3cit, MPO, CD18, MMP9 and ICAM-1 in immunofluorescence, ELISA and Western blot analysis. CONCLUSION: YQCTF inhibited the progress of mice NSCLC allograft, suppressed the pro-tumorigenic tumor-associated neutrophils and improved the tumor immune microenvironment (TIME).

Spatial-temporal distribution of deoxynivalenol, aflatoxin B1, and zearalenone in the solid-state fermentation basin of traditional vinegar and their potential correlation with microorganisms.

This study revealed the spatial-temporal distribution of deoxynivalenol (DON), aflatoxin B1 (AFB1), and zearalenone (ZEN) during the acetic acid fermentation (AAF) of aromatic vinegar and the corresponding correlation with the microbial community. A total of 324 samples were collected during the AAF process to analyze the mycotoxin content. The average DON content fluctuated during the first 7 d, while the average AFB1 and ZEN levels increased at 5-7 d and 7-11 d, respectively, remaining stable until the end of fermentation. In addition, the significant AFB1 and ZEN content variation was limited to the cross-sectional sampling planes in the fermentation basin, while DON was heterogeneously distributed on the cross-sectional, horizontal, and vertical sampling planes. Furthermore, the redundancy analysis and Spearman correlation coefficients revealed close relationships between three mycotoxins and certain bacterial and fungal species. This study provides new information regarding the mycotoxins during solid-state fermentation of traditional vinegar.

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.

Cardiovascular disease (CVDs) has become one of the leading causes of death, posing a significant threat to human life. The development of reliable Artificial Intelligence (AI) assisted diagnosis algorithms for cardiac sounds is of great significance for early detection and treatment of CVDs. However, there is scarce research in this field. Existing research mainly faces three major challenges: (1) They mainly limited to murmur classification and cannot achieve murmur grading, but attempting both classification and grading may lead to negative effects between different multi-tasks. (2) They mostly pay attention to unstructured cardiac sound modality and do not consider the structured demographic modality, as it is difficult to balance the influence of heterogeneous modalities. (3) Deep learning methods lack interpretability, which makes it challenging to apply them clinically. To tackle these challenges, we propose a method for cardiac murmur grading and cardiac risk analysis based on heterogeneous modality adaptive multi-task learning. Specifically, a Hierarchical Multi-Task learning-based cardiac murmur detection and grading method (HMT) is proposed to prevent negative interference between different tasks. In addition, a cardiac risk analysis method based on Heterogeneous Multi-modal feature impact Adaptation (HMA) is also proposed, which transforms unstructured modality into structured modality representation, and utilizes an adaptive mode weight learning mechanism to balance the impact between unstructured modality and structured modality, thus enhancing the performance of cardiac risk prediction. Finally, we propose a multi-task interpretability learning module that incorporates an important evaluation using random masks. This module utilizes SHAP graphs to visualize crucial murmur segments in cardiac sound and employs a multi-factor risk decoupling model based on nomograms. And then we gain insights into the cardiac disease risk in both pre-decoupled multi-modality and post-decoupled single-modality scenarios, thus providing a solid foundation for AI assisted cardiac murmur grading and risk analysis. Experimental results on a large real-world CirCor DigiScope PCG dataset demonstrate that the proposed method outperforms the state-of-the-art (SOTA) method in murmur detection, grading, and cardiac risk analysis, while also providing valuable diagnostic evidence.

Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix.

Sulfides possess either high toxicity or play crucial physiological role such as gas transmitter dependent upon dosage, hence the significant for their rapid sensitive and selective concentration determination. Herein, a machine learning enhanced ratiometric fluorescence sensor was engineered for sulfide determination by incorporating the nanometal-organic framework (UiO-66-NH2) along with protoporphyrin IX (Ppix). The blue fluorescence at 431 nm originated from the moiety of UiO-66-NH2 by 365 nm excitation serves as an internal calibration reference signal, while the red fluorescence at 629 nm from the moiety of Ppix serves as the analytical signal, and the intensity is correlated to the amount of sulfides. The fluorescence color of the sensor gradually varies from blue to red upon sequential addition of copper and sulfide ions, resulting in RGB (Red, Green, Blue) feature values for corresponding sulfide concentrations, which facilities the advanced data processing techniques using machine learning algorithms. On the basis of fluorescence image fingerprint extraction and machine learning algorithms, an online data analysis model was developed to improve the precision and accuracy of sulfide determination. The established model employed Linear Discriminant Analysis (LDA) and was subjected to rigorous cross-validation to ensure its robustness. By analyzing the correlation between RGB feature values and sulfide concentrations, the study highlighted a significant positive relationship between the red feature values and sulfide concentrations. The application of machine learning techniques on the ratiometric fluorescence signal of the UiO-66-NH2/Ppix probe demonstrated its potential for intelligent quantitative determination of sulfides, offering a valuable and efficient tool for pollution detection and real-time rapid environmental monitoring.

Environmentally persistent free radicals on photoaged microplastics from disposable plastic cups induce the oxidative stress-associated toxicity.

Microplastics (MPs) are ubiquitous environmental contaminants that exerting multiple toxicological effects. Most studies have focused primarily on the models of unaged MPs and lack environmental relevance. The generation and toxicity of environmentally persistent free radicals (EPFRs) on photoaging MPs from disposable plastic cups (DPC-MPs) have not been well studied. Here, the formation of EPFRs on photoaged DPC-MPs and their toxic effects in nematodes were investigated. UV irradiation generated EPFRs, which influenced the characterization of DPC-MPs. Exposure to photoaged DPC-MPs at environmentally relevant concentrations （100-1000 µg/L） reduced the locomotion behavior, body length, and brood size. The Reactive oxygen species (ROS) production, lipofuscin accumulation, malondialdehyde (MDA), and 8-hydroxy-2'-deoxyguanosine (8-OHdG) levels were increased along with the downregulation of the expression levels of associated genes, such as clk-1, clt-1, and gst-4，in nematodes. Moreover, the toxicity and oxidative stress response of nematodes were significantly inhibited due to N-acetyl-l-cysteine (NAC). Pearson's correlation analysis revealed that the oxidative stress was significantly associated with adverse physiological effects. Therefore, EPFRs on photoaged DPC-MPs cause toxicity in nematodes, and oxidative stress is important for regulating toxicity. This study offers novel insights into the potential risks of DPC-MPs under UV irradiation, highlighting the need to consider the role of EPFRs in toxicity assessments of DPC-MPs.

Association of air pollution exposure with overweight or obesity in children and adolescents: A systematic review and meta-analysis.

Childhood overweight and obesity is a global problem. 38 million children under five years old were reported as being overweight/obese in 2019. However, current evidence regarding the effects of air pollution on children weight status remains scarce and inconsistent. This study aimed to determine the association between air pollutants and the weight status of children and adolescents. Four databases were searched up to August 9, 2023. Adjusted merged odds ratios (ORs), regression coefficients (ß), and their 95 % confidence intervals (95 % CIs) were calculated and pooled. A total of 27 studies were included. The results showed that air pollutants had adverse effects on the body weight of children and adolescents. Exposure to PM1, PM2.5, PMcoarse, and PM10 were associated with increased risk of overweight/obesity, with pooled ORs (95 % CI) of 1.23 (1.09, 1.40), 1.18 (1.10, 1.28), 1.04 (1.03, 1.05) and 1.11 (1.06, 1.17) per 10 µg/m3 increment, respectively. Individuals with higher exposure levels to NOX, O3, SO2 and CO (per 10 µg/m3 increment) were associated with 12 %, 6 %, 28 % and 1 % increased odds of being overweight/obese, respectively. With respect to the level of body mass index, the pooled ß (95 % CIs) for each 10 µg/m3 increase in PM1, PM2.5, PM10, and NOX exposure were 0.15 (0.12, 0.18), 0.11 (0.06, 0.16), 0.07 (0.03, 0.10), and 0.03 (0.01, 0.04), respectively. PM1 has relatively strong adverse effects on body weight status. The subgroup analysis revealed a significantly increase in the risk of overweight/obesity when the concentrations of PM2.5, PM10, and NO2 exceeded 35 µg/m3, 50 µg/m3, and 40 µg/m3, respectively. Exposure to PM2.5, PM10 and NOX increased the risk of overweight/obesity, especially in Asia. This study provides evidence of the association between air pollution and being overweight/obese in children and adolescents.

High-resolution multi-scale air pollution system: Evaluation of modelling performance and emission control strategies.

A high percentage of the world's population lives in areas where air pollutant concentrations exceed the World Health Organization guidelines. This work aims to develop and test, a high-resolution multi-scale air pollution modelling system by integrating a set of adequate tools. This system is able to provide detailed air pollutant concentrations in urban areas and support air quality management strategies through a better identification of different atmospheric processes. It also allows furthering the design and assessment of air pollution control measures for a specific area. To evaluate its performance and suitability, the system was applied to the Macau Special Administrative Region (SAR), China, one of the most densely populated areas on earth, during a winter period when this area is affected by high levels of Particulate Matter (PM). Although the developed system tends to underestimate the PM concentrations, it revealed a good performance in reproducing the temporal and spatial air pollution patterns. Several exceedances of the Chinese air quality standards were calculated and high population exposure to PM pollution was estimated. The tested urban atmospheric emission reduction scenarios have shown air quality improvements, indicating that emission reduction measures at urban level should focus on the domestic sector. However, it is crucial to implement joint pollution prevention strategies with neighbouring regions to improve the air quality in Macau SAR. The approach developed in this work can support policymakers in defining new strategies to reduce atmospheric pollution in urban areas.

Quality of life in elderly patients with Neuro-co-Cardiological Diseases: Rasch analysis and confirmatory factor analysis of WHOQOL-BREF and SF-36 instruments.

PURPOSE: The quality of life (QOL) in elderly patients with neuro-co-cardiological diseases multimorbidity (NCCD) exhibits distinct features, but there is a scarcity of research in this specialized area. This study seeks to comprehensively assess the QOL of elderly patients with NCCD, employing both the WHOQOL-BREF and SF-36 instruments, while concurrently evaluating the validity and reliability of these two measurement scales. METHODS: The study participants were derived from the Elderly Individuals with Neuro-co-Cardiological Diseases Registered Cohort Study (EINCCDRCS). WHOQOL-BREF and SF-36 were used for QOL assessment. Rasch analysis, and Confirmatory Factor Analysis were conducted. Internal consistency, ceiling, and floor effects were also analyzed. RESULTS: 202 patients from the EINCCDRCS were included in the study. Both scales showed good reliability and validity. SF-36 demonstrated better distribution and targeting compared to WHOQOL-BREF. Some items exhibited potential bias in specific patient groups. However, the 'Role limitations due to emotional problems' component showed suboptimal performance in certain assessments, suggesting its consideration for removal in practical use. Differential item functioning was observed in patients with anxiety, depression, and cognitive impairment, highlighting the impact of these conditions on the QOL of elderly NCCD patients. CONCLUSIONS: Both WHOQOL-BREF and SF-36 are effective instruments for assessing QOL in elderly NCCD patients, showing good reliability and validity for both scales. SF-36 generally outperforms WHOQOL-BREF overall. Patients diagnosed with anxiety and depression, as well as cognitive impairment, exhibited differences in QOL assessment. Further attention to these findings can improve QOL assessment and care for this population.

Lipopolysaccharides from a Shiraia fruiting body-associated bacterium elicit host fungal hypocrellin A biosynthesis through nitric oxide generation.

Hypocrellin A (HA) is an excellent perylenequinone photosensitizer from Shiraia fruiting bodies. A dominant bacterium Pseudomonas fulva SB1 in the fruiting body was found to promote HA biosynthesis. The bacterial LPS were purified and the O-specific polysaccharide (OPS) consisted of rhamnose (Rha), galactose (Gal) and N-acetyl-galactosamine (GalNAc) with an average molecular weight of 282.8 kDa. Although the OPS composing of Rhap and Galp backbone showed elicitation capability on fungal HA accumulation, the highest HA production (303.76 mg/L) was achieved by LPS treatment at 20 µg/mL on day 3 of the mycelium culture. The generation of nitric oxide (NO) in Shiraia mycelia was triggered by LPS, which was partially blocked by inhibitors of nitric oxide synthase (NOS) and nitrate reductase (NR), leading to the depressed HA production. Transcriptome analysis revealed that NO mediated LPS-induced HA production via upregulating the expressions of critical genes associated with central carbon metabolism and downstream HA biosynthesis genes. This is the first report of LPS-induced NO to regulate fungal secondary metabolite production, which provides new insights on the role of bacterial LPS in bacterium-fungus interactions and an effective strategy to enhance hypocrellin production.

Increased Brain Iron Deposition in Episodic Migraine: A Pilot Voxel-based Quantitative Susceptibility Mapping

INTRODUCTION: Although iron deposition has been identified as a significant migraine trigger, the key structures in episodic migraine (EM) remain unknown. OBJECTIVE: The aim of this study is to investigate cerebral iron deposition in EM using an advanced voxel-based quantitative susceptibility mapping (QSM). METHODS: A multi-echo gradient echo sequence MR was performed in 15 episodic migraine patients (EMs) and 27 normal control subjects (NCs). The reconstructed quantitative susceptibility mapping images and voxel-based analysis were performed over the entire brain. The susceptibility value of all brain regions with altered iron deposition was extracted, and the correlations between susceptibility value and clinical variables (including HAMA, HAMD, MoCA, VAS, MIDAS score, diseased duration, and headache frequency) were calculated. RESULTS: EM patients presented increased susceptibility value in the left putamen and bilateral substantia nigra (SN) compared with NC. There was no correlation between susceptibility value and the clinical variables. CONCLUSION: Increased brain iron deposition in the extrapyramidal system may be a biomarker for migraine, and abnormal iron metabolism may be involved in the extrapyramidal mechanism. The QSM technique would be an optimal and simple tool for clinical practice and research in iron measurement.

M. tb Rv0927c suppresses the activation of HIF-1α pathway through VHL-mediated ubiquitination and NF-κB/COX-2 pathway to enhance mycobacteria survival.

Mycobacterium tuberculosis (M. tuberculosis), the causative agent of tuberculosis, employs various effector proteins to target and modulate host defenses. Our previous study showed that M. tuberculosis protein Rv0927c can promote the survival of intracellular mycobacteria, but the underlying mechanisms remain poorly understood. Here, we found that Rv0927c inhibited Mycobacterium smegmatis (M. smegmatis) induced hypoxia-inducible factor-1α (HIF-1α) activation in macrophages, and HIF-1α is required for Rv0927c to promote mycobacteria survival. Western blot analysis showed that Rv0927c promoted the proteasomal degradation of HIF-1α via Von Hippel-Lindau (VHL)-mediated ubiquitination and inhibited the nuclear localization of HIF-1α through the NF-κB/COX-2 pathway, thereby suppressing HIF-1α pathway activation. Furthermore, Rv0927c suppressed the host glycolytic metabolism, which is known to be regulated by HIF-1α and depended on the glycolysis process to promote mycobacterial survival. Our findings provide evidence that Rv0927c inhibits the activation of HIF-1α pathway, allowing pathogens to evade host immune responses, suggesting that targeting Rv0927c or HIF-1α might be a potential anti-tuberculosis therapy.

Urban green, blue spaces and their joint effect are associated with lower risk of emotional and behavior problem in children and adolescents, a large population-based study in Guangzhou, China.

Extensive research has been conducted on the impact of urban Green and blue spaces (GBS) on mental health. However, there is a dearth of studies examining the potential influence of GBS on Emotion and behavior problems (EBP) in youth populations. This study seeks to address this research gap by examining the association between GBS exposure and EBP in youths, utilizing a large population-based survey. Exposure indicators were derived for each participant, taking into account the 1-m resolution land coverage percentage measurements at their residential and school locations, with buffer sizes of 500m and 800m. The study employed the parent-reported Strengths and Difficulties Questionnaire (SDQ) as a measurement to EBP. To investigate this relationship, a Poisson linear mixed-effects model with comprehensive adjustment was utilized. Stratified analyses were conducted, taking into account demographic variables, while sensitivity analyses were performed to evaluate the reliability of the findings. The primary analysis encompassed a sample of 172,490 individuals, with an average age of 10.2 (standard deviation = 2.99), of whom 55.8% were male. Among young individuals residing within a 500-m radius of residential green spaces (GS), those in the second and third tertiles experienced a 5.0% and 7.6% decrease in the risk of developing total difficulties respectively, compared to those in the first tertile. Exposure to blue spaces (BS) around the residence yielded comparable results, with an AOR of 0.896 (95% CI: 0.866, 0.928) for the second tertile and an AOR of 0.991 (95% CI: 0.879, 0.943) for the third tertile, compared to the first tertile. The decrease in EBPs may also be linked to the joint effect of GS and BS. Young individuals were exposed to GS or BS, as well as the higher level of GS in conjunction with comparable BS, exhibited an inverse correlation with self-reported EBPs.

Engineering of Clostridium tyrobutyricum for butyric acid and butyl butyrate production from cassava starch.

Clostridium tyrobutyricum has been successfully engineered to produce butyrate, butanol, butyl butyrate, and γ-aminobutyric acid. It would be interesting to produce bio-chemicals and bio-fuels directly using starch from non-food crop, e.g., cassava, by engineered C. tyrobutyricum. In this study, heterologous α-amylases were screened and expressed in C. tyrobutyricum, resulting in successfully starch hydrolyzation. Furthermore, α-glucosidase (AgluI) was co-expressed with α-amylases, resulting in enhancement in the capacity of starch hydrolyzation and butyrate production. When increasing the cassava starch concentration to 100 g/L, the engineered strain CTAA05 produced 27.0 g/L butyrate. In addition, when introducing butyl butyrate synthetic pathway, strain MU3-AAV produced 26.8 g/L butyl butyrate with 100 g/L cassava starch as substrate. This study showed a generalizable framework to engineered anaerobes for anaerobic production of bio-chemicals and bio-fuels from starchy biomass.

Universality in eye movements and reading: A replication with increased power.

Liversedge, Drieghe, Li, Yan, Bai and Hyönä (2016) reported an eye movement study that investigated reading in Chinese, Finnish and English (languages with markedly different orthographic characteristics). Analyses of the eye movement records showed robust differences in fine grained characteristics of eye movements between languages, however, overall sentence reading times did not differ. Liversedge et al. interpreted the entire set of results across languages as reflecting universal aspects of processing in reading. However, the study has been criticized as being statistically underpowered (Brysbaert, 2019) given that only 19-21 subjects were tested in each language. Also, given current best practice, the original statistical analyses can be considered to be somewhat weak (e.g., no inclusion of random slopes and no formal comparison of performance between the three languages). Finally, the original study did not include any formal statistical model to assess effects across all three languages simultaneously. To address these (and some other) concerns, we tested at least 80 new subjects in each language and conducted formal statistical modeling of our data across all three languages. To do this, we included an index that captured variability in visual complexity in each language. Unlike the original findings, the new analyses showed shorter total sentence reading times for Chinese relative to Finnish and English readers. The other main findings reported in the original study were consistent. We suggest that the faster reading times for Chinese subjects occurred due to cultural changes that have taken place in the decade or so that lapsed between when the original and current subjects were tested. We maintain our view that the results can be taken to reflect universality in aspects of reading and we evaluate the claims regarding a lack of statistical power that were levelled against the original article.

Dynamic Contrast-Enhanced (DCE) MRI.

The non-invasive dynamic contrast-enhanced MRI (DCE-MRI) method provides valuable insights into tissue perfusion and vascularity. Primarily used in oncology, DCE-MRI is typically utilized to assess morphology and contrast agent (CA) kinetics in the tissue of interest. Interpretation of the temporal signatures of DCE-MRI data includes qualitative, semi-quantitative, and quantitative approaches. Recent advances in MRI technology allow simultaneous high spatial and temporal resolutions in DCE-MRI data acquisition on most vendor platforms, enabling the more desirable approach of quantitative data analysis using pharmacokinetic (PK) modeling. Many technical factors, including signal-to-noise ratio, temporal resolution, quantifications of arterial input function and native tissue T1, and PK model selection, need to be carefully considered when performing quantitative DCE-MRI. Standardization in data acquisition and analysis is especially important in multi-center studies.

Tandem effect at snowflake-like cuprous sulphide interfaces for highly selective conversion of carbon dioxide to formate by electrochemical reduction.

Electrochemical carbon dioxide reduction (ECR) is a commercially promising technology to resolve the energy dilemma and accomplish carbon recycling. Herein, a novel electrocatalyst has been investigated to produce formate (HCOOH) highly selectively during ECR by loading SnO2@C onto cuprous sulphide (Cu2S) to form a triplet effect at the interface. Snowflake-like Cu2S significantly enhances the local concentration of carbon dioxide (CO2) and promotes the binding of CO2 with SnO2, and the addition of carbon spheres enhances the electron transport, which is beneficial to the conversion of CO2 to HCOOH products. The snowflake-like Cu2S loaded with 1 wt% SnO2@C had an HCOOH Faraday Efficiency of 88% at -1.0 V (vs. Reversible Hydrogen Electrode, RHE), and the current density for CO2 reduction was stabilized at 15.6 mA cm-2, which was much higher than the HCOOH Faraday efficiency (FE) of 31.0% for pure Cu2S accompanied by a CO2 reduction current density of 3.9 mA cm-2. Combined investigations using in-situ Fourier transform infrared spectroscopy (FT-IR) with in-situ Raman spectra reveal that the active species is Cu+. Cu2S/1%SnO2@C can effectively promote the adsorption and activation of carbonate and inhibit the production of CO intermediates. The corresponding density functional theory (DFT) demonstrates that Cu2S/1%SnO2@C can well stabilize the HCOO* intermediate during the ECR process. The interaction between Cu2S and SnO2@C adjusts the surface electronic distribution and accelerates electron transfer, which efficiently improves CO2-to-HCOOH conversion. The result obtained from this work provides a simple and efficient electrocatalyst to enhance the HCOOH selectivity of ECR.

Spatial variation of sulfur in terrestrial ecosystems in China: Content, density, and storage.

Sulfur (S) is an important macronutrient that is widely distributed in nature. Understanding the patterns and mechanisms of S dynamics is of great significance for accurately predicting the geophysical and chemical cycles of S and formulating policies for S emission and management. We systematically investigated and integrated 17,618 natural plots in China's terrestrial ecosystems and built a S density database of vegetation (including leaves, branches, stems, and roots) and surface soil (0-30 cm depth). The biogeographic patterns and environmental drivers of the S content, density, and storage in the vegetation and soil of terrestrial ecosystems were explored. Vegetation and soil were the major components of terrestrial ecosystems, storing a total of 2228.77 ± 121.72 Tg S, with mean S densities of 4.32 ± 0.04 × 10-2, and 267.93 ± 14.94 × 10-2 t hm-2, respectively. The forest was the most important vegetation S pool and their S storage accounted for about 55.28 % of the total vegetation S storage, whereas soil S pools of croplands and other vegetation types (e.g., deserts and wetlands) accounted for about 63.18 % of the total soil S storage. The mean S density (2.18 ± 0.02 × 10-2 t hm-2) and S storage (12.45 ± 0.31 Tg) of plant roots were significantly higher than those of other organs. The spatial variation in the S density was mainly regulated by climate and soil properties, reflecting the physiological adaptation mechanisms of plants by adjusting the S uptake and distribution to cope with climate change. In this study, the spatial patterns of S density and storage in vegetation and soil in terrestrial ecosystems of China and their response to environmental factors on a national scale were systematically studied. The results provide insights into the biological functions of S and its role in plant-environment interactions.

Advanced multifunctional IGBT packing materials with enhanced thermal conductivity and electromagnetic wave absorption properties.

Insulated-Gate Bipolar Transistors (IGBT) face limitations in high-frequency electronic applications due to heat accumulation and electromagnetic interference issues. To address these challenges, it is crucial to develop packing materials with excellent electromagnetic interference immunity and heat dissipation properties. In this research, a novel epoxy-based packing material (MDCF@C-ZrO2/EP) with high electromagnetic wave absorption and exceptional thermal transport properties was produced by employing a unique three-dimensional carbon structure-induced nanomaterial dispersion strategy. In particular, the three-dimensional MDCF structure effectively prevents packing agglomeration and fosters the formation of an abundant hetero-interface between MDCF and C-ZrO2, leading to improved impedance matching and enhanced electromagnetic wave dissipation capabilities. Remarkably, even at a mere 5 wt% filling level, the material demonstrates an impressive reflection loss value of -58.92 dB and a wide effective absorption bandwidth of 6.68 GHz, effectively covering the entire Ku-band. Additionally, the 3D MDCF@C-ZrO2 significantly enhances the phonon transport path and elevates the thermal conductivity of pure epoxy resin by an impressive âˆ¼ 150%. As a result, this innovative research holds tremendous potential in enabling the application of IGBTs in high-power and high-frequency electronic components, while also contributing to the advancement of next-generation wireless communications and smart devices.