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Geoglossomycetes is a class within the phylum Ascomycota that accommodates a single order and a single family, comprising nine genera. Geoglossomycetes is traditionally referred to as “earth tongues”. The class is characterised by tongue-shaped to clavate, stipitate, black ascomata covered with or without black setae, a swollen ascigerous portion, a cylindric stipe, filiform, septate paraphyses, cylindrical-clavate, 4–8-spored asci, and filiform or falciform, multi-septate, dark brown to hyaline ascospores. In this study, we examined 34 samples from four genera in China. Based on ecological comparisons, morphological studies, and phylogenetic analyses inferred from the combined internal transcribed spacer (ITS) regions and the large subunit of the ribosomal RNA gene (LSU), we introduce ten new species of Geoglossomycetes, and identify four known species. In addition, we summarise the sexual morph characters of all species within the two largest genera, Geoglossum and Trichoglossum.

Sevoflurane, the predominant pediatric anesthetic, has been linked to neurotoxicity in young mice, although the underlying mechanisms remain unclear. This study focuses on investigating the impact of neonatal sevoflurane exposure on cell-type-specific alterations in the prefrontal cortex (PFC) of young mice. Neonatal mice were subjected to either control treatment (60% oxygen balanced with nitrogen) or sevoflurane anesthesia (3% sevoflurane in 60% oxygen balanced with nitrogen) for 2 hours on postnatal days (PNDs) 6, 8, and 10. Behavioral tests and single-nucleus RNA sequencing (snRNA-seq) of the PFC were conducted from PNDs 31 to 37. Mechanistic exploration included clustering analysis, identification of differentially expressed genes (DEGs), enrichment analyses, single-cell trajectory analysis, and genome-wide association studies (GWAS). Sevoflurane anesthesia resulted in sociability and cognition impairments in mice. Novel specific marker genes identified 8 distinct cell types in the PFC. Most DEGs between the control and sevoflurane groups were unique to specific cell types. Re-defining 15 glutamatergic neuron subclusters based on layer identity revealed their altered expression profiles. Notably, sevoflurane disrupted the trajectory from oligodendrocyte precursor cells (OPCs) to oligodendrocytes (OLs). Validation of disease-relevant candidate genes across the main cell types demonstrated their association with social dysfunction and working memory impairment. Behavioral results and snRNA-seq collectively elucidated the cellular atlas in the PFC of young male mice, providing a foundation for further mechanistic studies on developmental neurotoxicity induced by anesthesia.

Abstract Objective Expand genetic screening for atypical Type I sialidosis (ST‐1) could address its underdiagnosed in both progressive myoclonic ataxia (PMA) and ataxia patients. To evaluate the potential founder effect of mutation in the population. Methods We enrolled 231 patients with PMA or ataxia from the First Affiliated Hospital of Fujian Medical University. Through Whole Exome Sequencing and Sanger sequencing, we identified the causative gene in patients. Haplotype analysis was employed to explore a potential founder effect of the NEU1 c.544A>G mutation. Results A total of 31 patients from 23 unrelated families were genetically diagnosed with ST‐1. A significant 80.6% of these patients were homozygous for the c.544A>G mutation. We discovered six different NEU1 variants, including two novel mutations: c.951_968del and c.517T>G. The mean age of onset was 18.0 ± 7.1 years. The clinical spectrum of ST‐1 featured ataxia and myoclonus as the most common initial symptoms. Over 40% suffered from controlled generalized tonic–clonic seizures. Mobility and independence varied greatly across the cohort. Cherry‐red spots were rare, occurring in just 9.5% (2/21) of patients. Brain MRIs were typically unremarkable, except for two patients with unusual findings. EEGs showed diffuse paroxysmal activity in 17 patients. The c.544A>G mutation in NEU1 is a founder variant in Fujian, with a unique haplotype prevalent in East Asians. Interpretation ST‐1 should be suspected in patients with PMA or ataxia in Southeast China, even without macular cherry‐red spots and seizures, and the premier test could be a variant screening of the founder variant NEU1 c.544A>G.

Abstract Background We aimed to explore the association of socioeconomic status (SES) and life’s essential 8 (LE8) with cardiovascular disease (CVD) and all-cause mortality in north China. Methods A total of 91,365 adults from the Kailuan study were included in this study. Comprehensive individual SES, mainly including monthly household income, education, Occupation position, and community environment, was confirmed by latent class analysis. Furthermore, the mediation and combination effects of SES and LE8 on CVD and all-cause mortality were further assessed. The Cox regression model was conducted to estimate HRs and 95% CI. Results During about 13 years of follow-up, 7,646 cardiovascular events and 11,749 deaths were recorded. Relative to the high SES, there were decreased risks of CVD [HR (95% CI): 1.57(1.43–1.72)] and high all-cause death [HR (95% CI): 1.43(1.31–1.53)] in the low SES. The associations between SES and CVD [Mediation % (95% CI): 22.3 (16.4–30.4)] and mortality [Mediation % (95% CI): 10.1 (7.1–14.0)] were partially mediated by LE8 when comparing medium SES to high SES. Meanwhile, relative to high LE8, the elevated risk of death [HR (95% CI): 1.72(1.56–1.89)], and incident CVD [HR (95% CI): 3.34(2.91–3.83)] were detected in low LE8. Compared to participants who had the high SES and LE8, participants who had both the low SES and LE8 further increased the risk of CVD [HR (95% CI): 7.76(5.21–11.55)] and all-cause mortality [HR (95% CI): 2.80(2.19–3.58)]. Conclusion Low SES was related to a higher risk of CVD and mortality in low- and middle-income countries, which was partially mediated by LE8.

Abstract Background Chronic insomnia disorder is a common sleep disorder. Previous studies have reported increased demand for anesthetics in patients with chronic insomnia disorder. However, few studies have investigated the effective dose of dexmedetomidine for sedation in patients with chronic insomnia disorder. We aimed to determine the 95% effective dose of dexmedetomidine to induce adequate sedation in patients with chronic insomnia disorder. Methods This is a biased coin design up-and-down sequential allocation trial in patients aged 18–65 years with chronic insomnia disorder (n = 60). The dose of dexmedetomidine for the subsequent patient was determined based on the response of the previous patient, with an interval of 0.1 µg/kg. Sedation was assessed using the bispectral index. The 95% effective dose was calculated using isotonic regression. Results The 95% effective dose of dexmedetomidine to induce adequate sedation in patients with chronic insomnia disorder was 1.75 (95% confidence interval, 1.70–1.94) µg/kg. Four patients (6.7%) experienced bradycardia and no other adverse events were observed during the study. Conclusions The 95% effective dose of dexmedetomidine to induce adequate sedation in patients with chronic insomnia disorder was 1.75 µg/kg. Trials registration Chinese Clinical Trial Registry (ChiCTR2200063212); first registered 01/09 /2022.

Abstract Background Evolutionary radiation is widely recognized as a mode of species diversification, but the drivers of the rapid diversification of fungi remain largely unknown. Here, we used Amanitaceae, one of the most diverse families of macro-fungi, to investigate the mechanism underlying its diversification. Results The ancestral state of the nutritional modes was assessed based on phylogenies obtained from fragments of 36 single-copy genes and stable isotope analyses of carbon and nitrogen. Moreover, a number of time-, trait-, and paleotemperature-dependent models were employed to investigate if the acquisition of ectomycorrhizal (ECM) symbiosis and climate changes promoted the diversification of Amanitaceae. The results indicate that the evolution of ECM symbiosis has a single evolutionary origin in Amanitaceae. The earliest increase in diversification coincided with the acquisition of the ECM symbiosis with angiosperms in the middle Cretaceous. The recent explosive diversification was primarily triggered by the host-plant switches from angiosperms to the mixed forests dominated by Fagaceae, Salicaceae, and Pinaceae or to Pinaceae. Conclusions Our study provides a good example of integrating phylogeny, nutritional mode evolution, and ecological analyses for deciphering the mechanisms underlying fungal evolutionary diversification. This study also provides new insights into how the transition to ECM symbiosis has driven the diversification of fungi.

Abstract Objective The objective of this study was to investigate the activity and connectivity of cerebral and cerebellar cortices underlying the sensory trick (ST) effects in patients with cervical dystonia (CD), using electroencephalography (EEG). Methods We recruited 15 CD patients who exhibited clinically effective ST and 15 healthy controls (HCs) who mimicked the ST maneuver. EEG signals and multiple‐channel electromyography (EMG) were recorded simultaneously during resting and acting stages. EEG source analysis and functional connectivity were performed. To account for the effects of sensory processing, we calculated relative power changes as the difference in power spectral density between resting and the maneuver execution. Results ST induced a decrease in low gamma (30–50 Hz) spectral power in the primary sensory and cerebellar cortices, which remained lower than in HCs during the maintenance period. Compared with HCs, patients exhibited consistently strengthened connectivity within the sensorimotor network during the maintenance period, particularly in the primary sensory‐sensorimotor cerebellum connection. Interpretation The application of ST resulted in altered cortical excitability and functional connectivity regulated by gamma oscillation in CD patients, suggesting that this effect cannot be solely attributed to motor components. The cerebellum may play important roles in mediating the ST effects.

Abstract Background Currently, there are no optimal biomarkers available for distinguishing patients who will respond to immune checkpoint inhibitors (ICIs) therapies. Consequently, the exploration of novel biomarkers that can predict responsiveness to ICIs is crucial in the field of immunotherapy. Methods We estimated the proportions of 22 immune cell components in 10 cancer types (6,128 tumors) using the CIBERSORT algorithm, and further classified patients based on their tumor immune cell proportions in a pan-cancer setting using k-means clustering. Differentially expressed immune genes between the patient subgroups were identified, and potential predictive biomarkers for ICIs were explored. Finally, the predictive value of the identified biomarkers was verified in patients with urothelial carcinoma (UC) and esophageal squamous cell carcinoma (ESCC) who received ICIs. Results Our study identified two subgroups of patients with distinct immune infiltrating phenotypes and differing clinical outcomes. The patient subgroup with improved outcomes displayed tumors enriched with genes related to immune response regulation and pathway activation. Furthermore, CCL5 and CSF2 were identified as immune-related hub-genes and were found to be prognostic in a pan-cancer setting. Importantly, UC and ESCC patients with high expression of CCL5 and low expression of CSF2 responded better to ICIs. Conclusion We demonstrated CCL5 and CSF2 as potential novel biomarkers for predicting the response to ICIs in patients with UC and ESCC. The predictive value of these biomarkers in other cancer types warrants further evaluation in future studies.

ObjectiveThe resection of parasagittal and falx meningiomas in the middle third superior sagittal sinus (SSS) is associated with a high risk of postoperative motor deficits. This study discusses the risk factors affecting postoperative motor decline and recovery of motor function after follow-up.MethodsThe results of a single-institution retrospective cohort study of parasagittal and falx meningioma resection in the middle third between 2016 and 2023 were reviewed, and parameters were screened as potential predictors. Variables of interest included postoperative motor decline and outcome after follow-up. Univariate and multivariate analyses were performed to identify risk factors.ResultsAmong 87 patients who underwent resection of parasagittal (63.2%) or falx (36.8%) middle third meningiomas, 14.9% (13/87) experienced postoperative motor decline. Among the 36 patients (41.4%) with preoperative motor deficits, 66.3% improved, 17.0% unchanged, and 16.7% (6/36) worsened following surgery. Among the 51 patients without preoperative motor deficits, 13.7% (7/51) developed new weakness. The predictors of postoperative motor decline were major venous involvement (p = 0.022), falx meningioma (p = 0.031), loss of the brain-tumor interface (p=0.033) and WHO grade II-III (p = 0.032).ConclusionsThe resection of parasagittal and falx meningiomas in the middle third carries a high rate of postoperative morbidity and deserves perioperative planning. Alternative surgical strategies, such as preserving the brain-tumor arachnoid interface and minority residual tumors, may prevent motor decline in a subset of high-risk patients.

Residual soil widely distributed in Fujian region has the characteristics of strong structure and easy softening in contact with water, which limits the possibility of its beneficial utilization. This study investigates the impact of humid and hot environment on the strength characteristics of residual soil, and how changes in soil microstructure are correlated with strength attenuation. Residual soil with particle size distribution from gravel to clay was subjected to repeated hygroscopic cycle tests. Subsequently, unsaturated triaxial consolidation drainage shear (CD) and nuclear magnetic resonance (NMR) tests were carried out on the samples undergoing 0–7 hygroscopic cycles, and the damage mechanism of the soil was analyzed from macroscopic to microscopic scales. Results showed that the soil shear characteristics were influenced by the number of hygroscopic cycles and had a correlation with stress level (confining pressure and target suction), the greater the cumulative irreversible deformation and the more pronounced shear dilation characteristics of the soil had after more hygroscopic cycles and higher stress levels. The shear strength index of unsaturated soil after repeated hygroscopic paths presented a decreasing trend, but the attenuation of internal friction angle and suction friction angle was limited, and the average values were 21.3° and 14.7°, respectively. The T2 spectral distribution curve of soil was a trimodal pattern, and the content of small holes consistently decreasing as the cycling process progressed, while the percentage of macropores increased significantly. In view of the continuous dissolution of soluble minerals and cementing materials and the repeated release of suction in the soil, the internal particles of the soil were gradually loosened. Accompanied by the continuous expansion and penetration of intergranular pores, connecting cracks were ultimately formed. The above fatigue damage to the soil pore structure led to the attenuation of its macro-mechanical properties. Throughout the test, the saturated shear strength of the soil continued to decrease due to the interaggregate connection was always broken, while the destruction of the intergranular connection in the aggregate was relatively slow, and the internal friction angle in the soil implied a slow decrease and even stabilized at a later stage. The research results could provide a useful reference for a deeper understanding of the environmental damage effects on the soil macroscopic mechanical properties.

The coal mine workplace environment is a significant factor in inducing occupational health issues, such as intestinal dysfunction in coal miners. However, the mechanism by which the coal mine workplace environment induces intestinal dysfunction is still unclear. Therefore, we applied the Coal Mine Workplace Environment Biological Simulation (CEBS) model which was previously constructed to detect the intestinal pathological manifestations and changes in the gut microbiota of mice from the perspectives of intestinal function, tissue morphology, and cell molecules. CEBS mice showed increased fecal water content, shortened colon length, significant activation of MPO+ and CD11b+ numbers, and significant changes in IL-1b, IL-6, and IL-12 expression levels. In addition, we also found an imbalance in the proportions of Firmicutes, Bacteroidetes, Lactobacillus, and Parabacteroides in CEBS mice, resulting in significant changes in gut microbial diversity. After intervention with compound probiotics, the intestinal function of CEBS + Mix mice was improved and inflammation levels were reduced. Results indicated that stress in the coal mine workplace environment can lead to intestinal dysfunction and inflammatory damage of the colon and use of compound probiotics can improve intestinal dysfunction in CBES mice. In our study, we revealed that there is a correlation between coal mine workplace environment and diversity disorders of gut microbiota. This discovery has enhanced the relevant theories on the causes of intestinal dysfunction in coal miners and has suggested a new approach to intervention.

The influence of Sc, Zr, Mg, and Si addition to Al-10Ce hypereutectic alloy on the formation of intermetallics and mechanical properties have been investigated in as-cast condition and after heat treatment. The incorporation of Sc and Zr facilitated the formation of primary Al3 (Sc, Zr) intermetallics, which effectively refined the α-Al grains due to heterogeneous nucleation. Si addition resulted in the formation of the Al2CeSi2 phase. Aging at 300 °C led to the formation of nanoscale Al3(Sc, Zr) precipitates with an average diameter of 3 nm. The hardness of the alloy significantly increased and remained unaffected even after ageing for 100 h which suggests the thermal stability of the Al-Ce alloy containing these precipitates. As a result of thermal stability, Al-10Ce-(Sc, Zr) is observed to exhibit higher yield strength at 300 °C than a range of Al-Cu, Al-Si alloy systems.

The Eaf6 protein, a conserved component of the NuA4 and NuA3 complexes in yeast and MOZ/MORF complexes in humans, plays crucial roles in transcriptional activation, gene regulation, and cell cycle control. Despite its significance in other organisms, the functional role of Eaf6 in entomopathogenic fungi (EPF) remained unexplored. Here, we investigate the function of BbEaf6, the Eaf6 homolog in the entomopathogenic fungus Beauveria bassiana. We demonstrate that BbEaf6 is predominantly localized in nuclei, similar to its counterpart in other fungi. Deletion of BbEaf6 resulted in delayed conidiation, reduced conidial yield, and altered conidial properties. Transcriptomic analysis revealed dysregulation of the genes involved in asexual development and cell cycle progression in the ΔBbEaf6 mutant. Furthermore, the ΔBbEaf6 mutant exhibited decreased tolerance to various stresses, including ionic stress, cell wall perturbation, and DNA damage stress. Notably, the ΔBbEaf6 mutant displayed attenuated virulence in insect bioassays, accompanied by dysregulation of genes associated with cuticle penetration and haemocoel infection. Overall, our study elucidates the multifaceted role of BbEaf6 in stress response, development, and virulence in B. bassiana, providing valuable insights into the molecular mechanisms governing fungal pathogenesis and potential targets for pest management strategies.

Abstract The incidence of lung cancer brain metastasis combined with hemorrhagic cerebral venous sinus thrombosis (CVST) is very rare, and the understanding and treatment experience of this case is insufficient. We reported a case of lung cancer brain metastasis accompanied by venous sinus thrombosis, and describe the diagnosis and treatment plan for colleagues to learn from experience and lessons.

Abstract Non-self recognition is a fundamental aspect of life, serving as a crucial mechanism for mitigating proliferation of molecular parasites within fungal populations. However, studies investigating the potential interference of plants with fungal non-self recognition mechanisms are limited. Here, we demonstrate a pronounced increase in the efficiency of horizontal mycovirus transmission between vegetatively incompatible Sclerotinia sclerotiorum strains in planta as compared to in vitro. This increased efficiency is associated with elevated proline concentration in plants following S. sclerotiorum infection. This surge in proline levels attenuates the non-self recognition reaction among fungi by inhibition of cell death, thereby facilitating mycovirus transmission. Furthermore, our field experiments reveal that the combined deployment of hypovirulent S. sclerotiorum strains harboring hypovirulence-associated mycoviruses (HAVs) together with exogenous proline confers substantial protection to oilseed rape plants against virulent S. sclerotiorum. This unprecedented discovery illuminates a novel pathway by which plants can counteract S. sclerotiorum infection, leveraging the weakening of fungal non-self recognition and promotion of HAVs spread. These promising insights provide an avenue to explore for developing innovative biological control strategies aimed at mitigating fungal diseases in plants by enhancing the efficacy of horizontal HAV transmission.

Environmental and social changes during early school age have a profound impact on brain development. However, it remains unclear how the brains of typically-developing children adjust white matter to optimize network topology during this period. This study proposes fiber length distribution as a novel nodal metric to capture the continuous maturation of brain network. We acquired dMRI data from N = 30 typically developing children in their first year of primary school and a one-year follow-up. We assessed the longitudinal changes in fiber length distribution, characterized by the median length of connected fibers for each brain region. The length median was positively correlated with degree and betweenness centrality, while negatively correlated with clustering coefficient and local efficiency. From ages 7 to 8, we observed significant decreases in length median in the temporal, superior parietal, anterior cingulate, and medial prefrontal cortices, accompanied by a reduction in long-range connections and an increase in short-range connections. Meta-analytic decoding revealed that the widespread decrease in length median occurred in regions responsible for sensory processing, whereas a more localized increase in length median was observed in regions involved in memory and cognitive control. Finally, simulation tests on healthy adults further supported that the decrease in long-range connections and increase in short-range connections contributed to enhanced network segregation and integration, respectively. Our results suggest that the dual process of short- and long-range fiber changes reflects a cost-efficient strategy for optimizing network organization during this critical developmental stage.

BackgroundMultiple neonatal exposures to sevoflurane induce neurocognitive dysfunctions in rodents. The lack of cell type-specific information after sevoflurane exposure limits the mechanistic understanding of these effects. In this study, the authors tested the hypothesis that sevoflurane exposures alter the atlas of hippocampal cell clusters and have neuronal and nonneuronal cell type-specific effects in mice of both sexes.MethodsNeonatal mice were exposed to 3% sevoflurane for 2 h at postnatal days 6, 8, and 10 and analyzed for the exposure effects at postnatal day 37. Single-nucleus RNA sequencing was performed in the hippocampus followed by in situ hybridization to validate the results of RNA sequencing. The Morris Water Maze test was performed to test neurocognitive function.ResultsThe authors found sex-specific distribution of hippocampal cell types in control mice alongside cell type- and sex-specific effects of sevoflurane exposure on distinct hippocampal cell populations. There were important changes in male but not in female mice after sevoflurane exposure regarding the proportions of cornu ammonis 1 neurons (control vs. sevoflurane, males: 79.9% vs. 32.3%; females: 27.3% vs. 24.3%), dentate gyrus (males: 4.2% vs. 23.4%; females: 36.2% vs. 35.8%), and oligodendrocytes (males: 0.6% vs. 6.9%; females: 5.9% vs. 7.8%). In male but not in female mice, sevoflurane altered the number of significantly enriched ligand-receptor pairs in the cornu ammonis 1, cornu ammonis 3, and dente gyrus trisynaptic circuit (control vs. sevoflurane, cornu ammonis 1-cornu ammonis 3: 18 vs. 42 in males and 15 vs. 21 in females; cornu ammonis 1-dentate gyrus: 21 vs. 35 in males and 12 vs. 20 in females; cornu ammonis 3-dentate gyrus: 25 vs. 45 in males and 17 vs. 20 in females), interfered with dentate gyrus granule cell neurogenesis, hampered microglia differentiation, and decreased cornu ammonis 1 pyramidal cell diversity. Oligodendrocyte differentiation was specifically altered in females with increased expressions of Mbp and Mag. In situ hybridization validated the increased expression of common differentially expressed genes.ConclusionsThis single-nucleus RNA sequencing study reveals the hippocampal atlas of mice, providing a comprehensive resource for the neuronal and nonneuronal cell type- and sex-specific effects of sevoflurane during development.Editor’s perspective

The neuropsychiatric symptoms are common in Wilson's disease (WD) patients. However, it remains unclear about the associated functional brain networks. In this study, source localization-based functional connectivity analysis of close-eye resting-state electroencephalography (EEG) were implemented to assess the characteristics of functional networks in 17 WD patients with neurological involvements and 17 healthy controls (HCs). The weighted phase-lag index (wPLI) was subsequently calculated in source space across five different frequency bands and the resulting connectivity matrix was transformed into a weighted graph whose structure was measured by five graphical analysis indicators, which were finally correlated with clinical scores. Compared to HCs, WD patients revealed disconnected sub-networks in delta, theta and alpha bands. Moreover, WD patients exhibited significantly reduced global clustering coefficients and small-worldness in all five frequency bands. In WD group, the severity of neurological symptoms and structural brain abnormalities were significantly correlated with disrupted functional networks. In conclusion, our study demonstrated that functional network deficits in WD can reflect the severity of their neurological symptoms and structural brain abnormalities. Resting-state EEG may be used as a marker of brain injury in WD.

Background: Acupressure has proven efficacy in symptoms management, making it valuable in clinical practice and patient care. Given the rising number of increasing publications on acupressure, we aimed to analyze the literature from the past 20 years and provided current trends and hotspot for future research directions. Methods: Publications on acupressure from January 1, 2004 through May 1, 2024 were retrieved from the Web of Science database. The extracted records underwent thorough analysis based on publication year, research area, journal, countries/regions, organization, authors, and keywords. The bibliometric analysis was conducted using Citespace and Microsoft Excel software. Results: Of the 1,929 screened records, 770 publications were identified. The annual number of acupressure has gradually increased, with the 45 % of the total publication occurring from 2020 to 2024. Among countries and institutions, China (252 articles) and Hong Kong Polytechnic University (41 articles) have the highest number of publications. Notably, USA and Hong Kong Polytechnic University exhibits the highest centrality score in cooperative network among countries/regions and institutions. Chao Hsing Yeh from the Cizik School of Nursing, University of Texas Health Science Center, was the most prolific author with 22 papers. Evidence-Based Comple Alt, with 53 articles, is the journal with the most publications. According to the keyword, timeline diagram and prominence mapping analysis, we believe that “insomnia”, “labor”, “waist circumference”, “reliability” and “vagus nerve stimulation” related clusters may be new hotspots in the field of acupressure. Conclusion: This study presents the research trajectory of acupressure over the past 20 years, providing a foundation for future research and highlighting the significant contributions of nursing researchers. By analyzing research trends and hotsport, nursing professionals can integrate acupressure more effectively into holistic patient care, improving quality of life, and contributing to traditional Chinese medicine.

Face processing dominates the right hemisphere. This lateralization can be affected by co-lateralization within the same system and influence between different systems, such as neural competition from reading acquisition. Yet, how the relationship pattern changes through development remains unknown. This study examined the lateralization of core face processing and word processing in different age groups. By comparing fMRI data from 36 school-aged children and 40 young adults, we investigated whether there are age and regional effects on lateralization, and how relationships between lateralization within and between systems change across development. Our results showed significant right hemispheric lateralization in the core face system and left hemispheric lateralization in reading-related areas for both age groups when viewing faces and texts passively. While all participants showed stronger lateralization in brain regions of higher functional hierarchy when viewing faces, only adults exhibited this lateralization when viewing texts. In both age cohorts, there was intra-system co-lateralization for face processing, whereas an inter-system relationship was only found in adults. Specifically, functional lateralization of Broca’s area during reading negatively predicted functional asymmetry in the FFA during face perception. This study initially provides neuroimaging evidence for the reading-induced neural competition theory from a maturational perspective in Chinese cohorts.

ABSTRACTThe order Agaricales was divided into eight suborders. However, the phylogenetic relationships among some suborders are largely unresolved, and the phylogenetic positions and delimitations of some taxa, such as Sarcomyxaceae and Tricholomopsis, remain unsettled. In this study, sequence data of 38 genomes were generated through genome skimming on an Illumina sequencing system. To anchor the systematic position of Sarcomyxaceae and Tricholomopsis, a phylogenetic analysis based on 555 single-copy orthologous genes from the aforementioned genomes and 126 publicly accessible genomes was performed. The results fully supported the clustering of Tricholomopsis with Phyllotopsis and Pleurocybella within Phyllotopsidaceae, which formed a divergent monophyletic major lineage together with Pterulaceae, Radulomycetaceae, and Macrotyphula in Agaricales. The analysis also revealed that Sarcomyxaceae formed a unique major clade. Therefore, two new suborders, Phyllotopsidineae and Sarcomyxineae, are proposed for the two major lineages. Analyses of 450 single-copy orthologous genes and four loci suggested that Tricholomopsis consisted of at least four clades. Tricholomopsis is subsequently subdivided into four distinct sections. Seventeen Tricholomopsis species in China, including six new species, are reported. Conoloma is established to accommodate T. mucronata. The substrate preference of Tricholomopsis species and the transitions of the pileate ornamentations among the species within the genus are discussed.

For the requirements of real-time services in autonomous driving systems, such as high-definition (HD) maps, based on the integration of sensing, communication, and computing, a multi-node cooperative sensing mechanism was proposed with the age of information (AoI) as the real-time indicator.Considering the constraints on communication and computing resources and vehicle energy consumption, the information collection, transmission and processing of sensing nodes were optimally scheduled to minimize the AoI averaged over time.A Lyapunov-based online scheduling algorithm was proposed to transform the long-term stochastic optimization problem into an online optimization problem, which could be solved with low complexity.Compared with the existing mechanism considering integrated communication and computing, the proposed mechanism can improve real-time performance by 9%～50%.

Industry 5.0 (I5.0) builds upon Industry 4.0 by emphasizing the role of workers in production processes and prioritizing socio-economic-environmental sustainability. It has been shown that I5.0 can enhance sustainability within supply chains (SCs). However, companies in emerging economies, especially small and medium-sized manufacturing enterprises (SMEs), which are crucial to developing economies, face challenges in implementing these concepts. These SMEs are in the early stages of adopting I5.0 to foster sustainability in their SCs and require urgent identification of key I5.0 enablers. Unfortunately, the current literature lacks research on this topic specifically within the context of SMEs in emerging economies. To bridge this gap, this study identifies the enablers of I5.0 that promote sustainability diffusion in SCs, using China’s SME manufacturing sector as a case study. The integrated framework for applying multiple criteria decision-making (MCDM) techniques in this study aims to assist decision-makers in evaluating different options and making optimal choices in a systematic and structured manner when faced with complex situations. The study employs the fuzzy Delphi method (FDM) to identify 15 key I5.0 enablers and categorize them into three clusters. Grey-DEMATEL is subsequently utilized to determine the causal relationships, rank the importance of the enablers, and construct an interrelationship diagram. This study found that ‘availability and functionality of resources’; ‘top management support, active participation, and effective governance’; ‘support from government, regulators, and financial resources’; and ‘introduction of safer and more efficient robotic systems for human–robot interaction and collaboration’ serve as the primary means of resolving issues. Overall, this study helps managers, practitioners, and policymakers interested in I5.0 applications to promote sustainability in the supply chain.

Volumetric resorption of the alveolar ridge often occurs in both horizontal and vertical directions following tooth extraction. There is a specific lack of evidence for alveolar ridge reconstruction at molar and premolar sites with severe bone resorption. This randomized controlled trial used 3D and linear analyses to evaluate volumetric changes of the alveolar bone following alveolar ridge reconstruction (ARR) at molar and premolar sites with severe bone resorption as compared to unassisted socket healing before implant placement. A total of 31 patients (15 men, 16 women) with > 50% hard tissue loss in one or more socket walls were recruited and randomized into either a test group (postextraction ARR using deproteinized bovine bone mineral with 10% collagen [DBBM-C] and platelet-rich fibrin [PRF] with a resorbable collagen membrane) or a control group (natural healing after extraction). The clinical, linear, and volumetric implant-related and patient-reported outcomes were analyzed after 4 months of healing. Linear bone assessments revealed significantly greater ridge width gains in the test group (25% in the mesial, midfacial, and distal aspects) and less reduction of vertical bone ridge than in the control group (P < .05). Further, volumetric bone remodeling was significantly higher in the test group (35.1% ± 34.9% for ARR, 14.2% ± 12.8% for control; P < .05). Patient-reported discomfort and keratinized mucosal changes were comparable between groups. ARR with a combination of DBBM-C, PRF, and a resorbable membrane at posterior sites with a severe socket wall deficiency (> 50% bone loss) is a safe and more capable therapeutic method when compared to natural healing and unassisted sockets. Collectively, the present analyses demonstrate that ARR represents an efficient method to maintain and augment crestal bone at posterior extraction sites with severe bone defects when assessed after 4 months of healing. [ABSTRACT FROM AUTHOR]

ObjectiveTo examine the effectiveness of one-week inpatient cognitive behavioral therapy for insomnia (CBT-I) in patients without severe mental disorders in the real-world setting to answer the research question “Can inpatient CBT-I be abbreviated?”.MethodsIn this retrospective, single-group, pretest–posttest study, the clinical outcome data of 94 patients who underwent one-week inpatient CBT-I were collected. Self-report scale scores and hypnotic medication use were obtained at baseline and at the 3-month follow-up after therapy.ResultsCBT-I significantly improved insomnia severity (Z = −7.65, P < 0.001, Cohen’s d = 1.34), anxiety (Z = −6.23, P < 0.001, Cohen’s d = 1.02), depression (Z = −6.42, P < 0.001, Cohen’s d = 1.06), daytime sleepiness (Z = −2.40, P = 0.016, Cohen’s d = 0.35), and fatigue severity (Z = −5.54, P < 0.001, Cohen’s d = 0.88) and reduced hypnotic medication use (χ2 = 33.62, P < 0.001). At the follow-up assessment, 58 patients (67.4%) had clinically meaningful changes in insomnia, and 51 patients (59.3%) met the criteria for insomnia remission.ConclusionThe results of this preliminary study imply that one-week inpatient CBT-I may be an effective intervention for the treatment of insomnia in patients without severe mental disorders.

Abstract Surgical resection remains the mainstream treatment for malignant melanoma. However, challenges in wound healing and residual tumor metastasis pose significant hurdles, resulting in high recurrence rates in patients. Herein, a bioactive injectable hydrogel (BG‐Mngel) formed by crosslinking sodium alginate (SA) with manganese‐doped bioactive glass (BG‐Mn) is developed as a versatile platform for anti‐tumor immunotherapy and postoperative wound healing for melanoma. The incorporation of Mn2+ within bioactive glass (BG) can activate the cGAS‐STING immune pathway to elicit robust immune response for cancer immunotherapy. Furthermore, doping Mn2+ in BG endows system with excellent photothermal properties, hence facilitating STING activation and reversing the tumor immune‐suppressive microenvironment. BG exhibits favorable angiogenic capacity and tissue regenerative potential, and Mn2+ promotes cell migration in vitro. When combining BG‐Mngel with anti‐PD‐1 antibody (α‐PD‐1) for the treatment of malignant melanoma, it shows enhanced anti‐tumor immune response and long‐term immune memory response. Remarkably, BG‐Mngel can upregulate the expression of genes related to blood vessel formation and promote skin tissue regeneration when treating full‐thickness wounds. Overall, BG‐MnGel serves as an effective adjuvant therapy to regulate tumor metastasis and wound healing for malignant melanoma.

In recent years, there has been explosive development in artificial intelligence (AI), which has been widely applied in the health care field. As a typical AI technology, machine learning models have emerged with great potential in predicting cardiovascular diseases by leveraging large amounts of medical data for training and optimization, which are expected to play a crucial role in reducing the incidence and mortality rates of cardiovascular diseases. Although the field has become a research hot spot, there are still many pitfalls that researchers need to pay close attention to. These pitfalls may affect the predictive performance, credibility, reliability, and reproducibility of the studied models, ultimately reducing the value of the research and affecting the prospects for clinical application. Therefore, identifying and avoiding these pitfalls is a crucial task before implementing the research. However, there is currently a lack of a comprehensive summary on this topic. This viewpoint aims to analyze the existing problems in terms of data quality, data set characteristics, model design, and statistical methods, as well as clinical implications, and provide possible solutions to these problems, such as gathering objective data, improving training, repeating measurements, increasing sample size, preventing overfitting using statistical methods, using specific AI algorithms to address targeted issues, standardizing outcomes and evaluation criteria, and enhancing fairness and replicability, with the goal of offering reference and assistance to researchers, algorithm developers, policy makers, and clinical practitioners.

Objective: Powerful adjuvant strategies are required to improve the survival of patients with completely resected stage ΙΙΙA non-small cell lung cancer (NSCLC). We aimed to compare the efficacy of traditional Chinese medicine (TCM) treatment versus observation after adjuvant chemotherapy in these patients. Methods: Eligible patients were randomized 1:1 to receive either oral decoctions based on Qi-Yin syndrome differentiation (TCM group) or observation (observation group). The intervention lasted for 12 months. The primary endpoint was 1-year disease-free survival (DFS). Secondary endpoints were DFS, quality of life, regulatory T cells (Tregs), and cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) on the surface of Tregs in peripheral blood. We used EORTC QLQ-LC43 to evaluate quality of life. Results: Between Apr 29, 2019, and Nov 11, 2021, 75 patients were randomly assigned to oral decoctions based on Qi-Yin syndrome differentiation (n = 38) or observation (n = 37). The full analysis set included 35 patients in the TCM group and 35 in the observation group. After a median follow-up of 24.2 months, oral decoctions based on Qi-Yin syndrome differentiation improved DFS compared with observation (HR 0.378, 95% CI: 0.157-0.912; P = .03). One-year DFS was 82.1% in the TCM group and 61.9% in the observation group ( P = .06). Three months after randomization, scores of total health, role function, emotional function, and social function in the TCM group were higher than those in the observation group ( P

Abstract Background A comprehensive overview of artificial intelligence (AI) for cardiovascular disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external validation are lacking. This systematic review aims to identify, describe, and appraise AI-Ms of CVD prediction in the general and special populations and develop a new independent validation score (IVS) for AI-Ms replicability evaluation. Methods PubMed, Web of Science, Embase, and IEEE library were searched up to July 2021. Data extraction and analysis were performed for the populations, distribution, predictors, algorithms, etc. The risk of bias was evaluated with the prediction risk of bias assessment tool (PROBAST). Subsequently, we designed IVS for model replicability evaluation with five steps in five items, including transparency of algorithms, performance of models, feasibility of reproduction, risk of reproduction, and clinical implication, respectively. The review is registered in PROSPERO (No. CRD42021271789). Results In 20,887 screened references, 79 articles (82.5% in 2017–2021) were included, which contained 114 datasets (67 in Europe and North America, but 0 in Africa). We identified 486 AI-Ms, of which the majority were in development (n = 380), but none of them had undergone independent external validation. A total of 66 idiographic algorithms were found; however, 36.4% were used only once and only 39.4% over three times. A large number of different predictors (range 5–52,000, median 21) and large-span sample size (range 80–3,660,000, median 4466) were observed. All models were at high risk of bias according to PROBAST, primarily due to the incorrect use of statistical methods. IVS analysis confirmed only 10 models as “recommended”; however, 281 and 187 were “not recommended” and “warning,” respectively. Conclusion AI has led the digital revolution in the field of CVD prediction, but is still in the early stage of development as the defects of research design, report, and evaluation systems. The IVS we developed may contribute to independent external validation and the development of this field.

BackgroundResults from previous studies evaluating the effects of remote ischemic preconditioning (RIPC) on morbidity and mortality after cardiac surgery are inconsistent. This meta-analysis of randomized controlled trials (RCTs) aims to determine whether RIPC improves cardiac and renal outcomes in adults undergoing cardiac surgery.MethodsPubMed, EMBASE, and Cochrane Library were comprehensively searched to identify RCTs comparing RIPC with control in cardiac surgery. The coprimary outcomes were the incidence of postoperative myocardial infarction (MI) and the incidence of postoperative acute kidney injury (AKI). Meta-analyses were performed using a random-effect model. Subgroup analyses were conducted according to volatile only anesthesia versus propofol anesthesia with or without volatiles, high-risk patients versus non-high-risk patients, and Acute Kidney Injury Network (AKIN) or Kidney Disease Improving Global Outcomes (KDIGO) criteria versus other criteria for AKI diagnosis.ResultsA total of 79 RCTs with 10,814 patients were included. While the incidence of postoperative MI did not differ between the RIPC and control groups (8.2% vs 9.7%; risk ratio [RR] = 0.87, 95% confidence interval [CI], 0.76-1.01, P = .07, I2 = 0%), RIPC significantly reduced the incidence of postoperative AKI (22% vs 24.4%; RR = 0.86, 95% CI, 0.77-0.97, P = .01, I2 = 34%). The subgroup analyses showed that RIPC was associated with a reduced incidence of MI in non-high-risk patients, and that RIPC was associated with a reduced incidence of AKI in volatile only anesthesia, in non-high-risk patients, and in the studies using AKIN or KDIGO criteria for AKI diagnosis.ConclusionsThis meta-analysis demonstrates that RIPC reduces the incidence of AKI after cardiac surgery. This renoprotective effect of RIPC is mainly evident during volatile only anesthesia, in non-high-risk patients, and when AKIN or KDIGO criteria used for AKI diagnosis.