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A new efficient method for the separation of Ba from REEs for the accurate determination of REE content in Ba-rich samples by ICP-MS.

This paper aims to interpret the coupling modal properties of cyclic blades under impact–friction interactions and their evolution mechanism versus operating points. Therefore, a coupling analytical model of cyclic blades is developed based on a Lagrange method and the assumed mode method (AMM), after considering centrifugal stiffening, spin softening, stagger angle, and twist angle. Then a mixed modal analysis method (MMAM) for this analytical model is extended by combining the extended periodic motion concept (EPMC) with AMM. Wherein a classic alternating frequency/time method (AFT) and the continuation method are employed to overcome the numerical divergence problem. Then damped nonlinear normal modes (dNNMs), including eigenfrequencies, modal damping ratios, and mode shapes, of the coupling system with shroud joints are finally computed and discussed under different excitation levels and contact conditions through a modal synthesis algorithm. After that, the influence laws of centrifugal stiffening and spin softening on the dNNMs are explored to reveal its evolution mechanism versus operation speeds. Finally, the Campbell diagrams of dNNMs are successfully obtained to discuss the effects of the impact–friction coupling on critical speeds (CSs) of the shrouded blades system.

Through field surveys, sampling, and laboratory experiments, the content, enrichment, and migration characteristics of heavy metals in the rock-soil-tea system in the Guizhou metamorphic rock area were analyzed herein. The results show that the As and Hg contents in metamorphic sandstone in the study area are higher than those in slate, while the Mn, Zn, Pb, and Ni contents in slate are higher. The content of heavy metals in the sandstone of the Jialu formation of the Xiajiang group in Neoproterozoic is the highest, and that of the slate of the Fanzhao formation is the lowest. The content of As in the rock samples in the study area is higher than that in the Epicontinental crust, while Cd is found to be deficient. The heavy metals at some soil points exceed the standard, but this does not affect the growth and development of tea. The content of heavy metals in most tea is lower than the safety limit standards, and the THQ value is less than 1, indicating that the heavy metals in tea in Guizhou metamorphic rock areas pose no concern for human health. In the metamorphic rock distribution areas of Guizhou, tea does not enrich As, Cr, Hg, and Pb in soil, but enriches Mn, Cu, Ni, and Zn to varying degrees, with the enrichment of Mn being the strongest.

This study aimed to understand the suicidal ideation and suicidal attempts among cancer patients during the COVID-19 pandemic. The data were collected from patients diagnosed with cancer while attending the largest cancer center in the south of China. A structured questionnaire was used to investigate patients' demographic data, suicidal behavior, and factors related to COVID-19. Mental health conditions were measured by the Generalized Anxiety Disorder-7, the Patient Health Questionnaire-9, and the Brief Symptom Inventory. Comorbidities and medical conditions of cancer patients were extracted from the electronic healthcare records. Among the 5670 cancer patients, 755 (13.3%) reported suicidal ideation, and 266 (4.7%) reported suicidal attempts during the COVID-19 pandemic. The age group with the highest risk of suicidal ideation was 20-24 years (23.9%). Lifetime history of suffering from mental disorders, longer time since cancer diagnosis, regional and distant tumor stage, depression, anxiety, hostility, having a higher frequency of worrying about cancer management due to COVID-19, higher frequency feeling of overwhelming psychological pressure due to COVID-19, having a higher level of barriers to manage cancer due to COVID-19, and higher barriers to continue treatment of cancer due to inconveniences caused by COVID-19, were all significantly associated with increased risk of suicidal ideation. We also identified the risk factors of suicide attempts. This is the first study investigating the prevalence and risk factors associated with suicidal ideation and suicidal attempts in Chinese cancer patients during the COVID-19 pandemic. Our findings suggest that it is essential to monitor the mental health conditions of this vulnerable population, especially for cancer patients who have comorbidity with a history of mental disorders. Also, government policymakers should take action to protect cancer patients to avoid any interruption of their continued treatment. Further efforts are urgently required to develop specific psychological interventions to reduce the risk factors among cancer patients during the COVID-19 pandemic.

In order to solve the problem that the target is easily lost in the process of multisource target data fusion tracking, a multisource target data fusion tracking method based on data mining is proposed. Multisource target data fusion tracking belongs to location level fusion. Firstly, a hybrid heterogeneous network fusion model is established, and then, data features are extracted, and a fusion source big data acquisition algorithm is designed based on compressed sensing to complete data preprocessing to reduce the amount of data acquisition. Based on data mining association multisource fusion target, get the relationship between each measurement and target, and build multisource target data fusion tracking model to ensure the stable state of fusion results. It shows that the proposed method can save the tracking time and improve the tracking accuracy compared with the methods based on NNDA and PDA, which is more conducive to the real-time tracking of multisource targets.

Many ectomycorrhizal (ECM) fungi produce commercially valuable edible sporocarps. However, the effects of nitrogen (N) application on ECM fungal sporocarp formation remain poorly understood. In this study, we investigated the effect of application of various N concentrations (0, 5, 25, 50, 100, and 200 mg/L) on the growth of Laccaria japonica mycelia in vitro for 1 month. The results showed that L. japonica mycelial biomass was highest in the 50 mg/L treatment and was significantly inhibited at N concentrations higher than 200 mg/L. Next, we investigated the effects of N application on mycorrhizal colonization and sporocarp formation in L. japonica colonizing Pinus densiflora seedlings in pots. The seedlings were watered with nutrient solutions containing 0, 5, 25, 50, or 100 mg N/L. The biomass, photosynthetic rate, and mycorrhizal colonization rates of the seedlings were measured at 45 days (first appearance of primordia), 65 days (sporocarp appearance on the substrate surface), and 4 months after seedlings were transplanted. The numbers of primordia and sporocarps were recorded during the experimental period. Total carbon (C) and N content were determined in seedlings at 4 months after transplantation, and in L. japonica sporocarps. Both mycelial growth and sporocarp production reached their maximum at an N application concentration of 50 mg/L, suggesting that the most suitable N concentration for ECM fungal sporocarp formation can easily be estimated in vitro during mycelial growth. This finding may help determine the most suitable N conditions for increasing edible ECM fungus sporocarp production in natural forests.

Precise detection of recurrence in patients with treated nasopharyngeal carcinoma (NPC) facilitates timely intervention and prolongs survival. However, there is no compelling tool realizing real-time precise recurrence detection as scale hitherto. Here we present a deep learning-based sequential scan model called RAIN, harnessing 10,212 time-series follow-up head and neck magnetic resonance (MR) scans of 1,808 patients with treated NPC in a multicenter observational study (Blinded ID). The RAIN yields larger area under the receiver operating curve (AUC) values than single scan model (internal: 0.916 vs 0.855, p = 0.004; external: 0.900 vs 0.709, p

Supplementary Table S1 shows the list of primary antibodies used for immunohistochemical staining and immunoblotting assays. Supplementary Table S2 shows the clinical characteristics of 626"driver-gene-negative" LUAD patients from four cohorts. Supplementary Table S3 shows the clinical characteristics of 52 "driver-gene-negative" LUAD patients whose samples were used for microarray analysis. Supplementary Table S4 shows the microarray results of the genes in the Wnt-signaling pathway. Supplementary Table S5 shows the univariate association of 41 candidate genes with overall survival in the training SYSUFH cohort. Supplementary Table S6 shows the C-index of the three enrolled factors in the nomogram in the SYSUFH training cohort. Supplementary Table S7 indicates the summary of relevant findings of ITH analysis of twenty-one patients with "driver-gene-negative" LUAD. Supplementary Figure S1 shows the workflow to determine "driver-gene-negative" status in LUAD patients. Supplementary Figure S2 shows the pathological diagnosis of enrolled LUAD patients. Supplementary Figure S3 shows the study flowchart. Supplementary Figure S4 shows the signaling GO analysis and cellular component classification analysis for the genome-wide microarray. Supplementary Figure S5 shows the β-Catenin expression characteristics in patients with "driver-gene-negative" LUAD from the SYSUFH training cohort. Supplementary Figure S6 shows the different expression profiles of β-catenin in EGFRmt, KRASmt, and ALKft LUAD. Supplementary Figure S7 shows the protein expression characteristics of 41 candidate genes in 8 "driver-gene-negative" LUAD patients. Supplementary Figure S8 shows these representative immunohistochemical staining for 41 candidate molecules in 626 "driver-gene-negative" LUAD patient tissue samples. Supplementary Figure S9 shows kaplan-Meier estimates of progression-free survival (PFS) based on the CSDW signature in the four cohorts. Supplementary Figure S10 shows that the CSDW signature predicts clinical outcomes in all 626 patients with "driver-gene-negative" LAUD. Supplementary Figure S11 shows that the optimum cutoff value of the four prognostic markers was determined using the X-tile program in the training set and Kaplan-Meier analysis of all 626 LUAD samples. Supplementary Figure S12 shows the correlation between the four genes in the CSDW signature and tumor size, lymphatic metastasis and distant organ metastasis. Supplementary Figure S13 shows that kaplan-Meier analysis was used to compare the performance of the CSDW signature in all 626 LUAD patients with different clinicopathological risk factors. Supplementary Figure S14 shows that the nomogram to predict the 3-year and 5-year overall survival (OS) of "driver-gene-negative" LUAD patients. Supplementary Figure S15 shows that time-dependent ROC curves to evaluate the sensitivity and specificity of the nomogram in predicting overall survival in "driver-gene-negative" LUAD patients. Supplementary Figure S16 shows that intra- and inter-sample variability of β-catenin, SOX9, DVL3 and Wnt2b protein levels detected by IHC.

Purpose:Examining the role of developmental signaling pathways in “driver gene–negative” lung adenocarcinoma (patients with lung adenocarcinoma negative for EGFR, KRAS, BRAF, HER2, MET, ALK, RET, and ROS1 were identified as “driver gene–negative”) may shed light on the clinical research and treatment for this lung adenocarcinoma subgroup. We aimed to investigate whether developmental signaling pathways activation can stratify the risk of “driver gene–negative” lung adenocarcinoma.Experimental Design:In the discovery phase, we profiled the mRNA expression of each candidate gene using genome-wide microarrays in 52 paired lung adenocarcinoma and adjacent normal tissues. In the training phase, tissue microarrays and LASSO Cox regression analysis were applied to further screen candidate molecules in 189 patients, and we developed a predictive signature. In the validation phase, one internal cohort and two external cohorts were used to validate our novel prognostic signature.Results:Kyoto Encyclopedia of Genes and Genomes pathway analysis based on whole-genome microarrays indicated that the Wnt/β-catenin pathway was activated in “driver gene–negative” lung adenocarcinoma. Furthermore, the Wnt/β-catenin pathway–based gene expression profiles revealed 39 transcripts differentially expressed. Finally, a Wnt/β-catenin pathway–based CSDW signature comprising 4 genes (CTNNB1 or β-catenin, SOX9, DVL3, and Wnt2b) was developed to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival [HR, 10.42; 6.46–16.79; P < 0.001) than patients with low-risk scores.Conclusions:The CSDW signature is a reliable prognostic tool and may represent genes that are potential drug targets for “driver gene–negative” lung adenocarcinoma.

Ectomycorrhizal (ECM) fungi improve the host plant's tolerance to abiotic and biotic stresses. Cenococcum geophilum (Cg) is among the most common ECM fungi worldwide and often grows in saline environments. However, the physiological and molecular mechanisms of salt tolerance in this fungus are largely unknown. In the present study, 12 isolates collected from different ecogeographic regions were used to investigate the mechanism of salt tolerance of Cg. The isolates were classified into four groups (salt-sensitive, moderately salt-tolerant, salt-tolerant, and halophilic) based on their in vitro mycelial growth under 0, 50, 125, 250, and 500 mM NaCl concentrations. Hence, the Na, Ca, P, and K concentrations of mycelia and the pH of the culture solution were determined. Compared with salt-tolerant isolates, treatment with 250 mM NaCl significantly increased the sodium concentration and decreased the potassium concentration of salt-sensitive isolates. RNA-sequencing and qRT-PCR analysis were conducted to identify differentially expressed genes (DEGs) involved in transmembrane transport and oxidoreductase activity pathways. The hydrogen peroxide concentration and activities of peroxidase and superoxide dismutase in mycelia were determined, and the accumulation and scavenging of reactive oxygen species in the salt-sensitive isolates were more active than those in the salt-tolerant isolates. The results supply functional validations to RNA-seq and qRT-PCR analysis. This study provides novel insights into the salt-stress response of Cg isolates and provides a foundation for elucidation of the salt-tolerance mechanism of ECM fungi.

Background Accurate detection is essential for brain metastasis (BM) management, but manual identification is laborious. This study developed, validated, and evaluated a BM detection (BMD) system. Methods Five hundred seventy-three consecutive patients (10 448 lesions) with newly diagnosed BMs and 377 patients without BMs were retrospectively enrolled to develop a multi-scale cascaded convolutional network using 3D-enhanced T1-weighted MR images. BMD was validated using a prospective validation set comprising an internal set (46 patients with 349 lesions; 44 patients without BMs) and three external sets (102 patients with 717 lesions; 108 patients without BMs). The lesion-based detection sensitivity and the number of false positives (FPs) per patient were analyzed. The detection sensitivity and reading time of three trainees and three experienced radiologists from three hospitals were evaluated using the validation set. Results The detection sensitivity and FPs were 95.8% and 0.39 in the test set, 96.0% and 0.27 in the internal validation set, and ranged from 88.9% to 95.5% and 0.29 to 0.66 in the external sets. The BMD system achieved higher detection sensitivity (93.2% [95% CI, 91.6–94.7%]) than all radiologists without BMD (ranging from 68.5% [95% CI, 65.7–71.3%] to 80.4% [95% CI, 78.0–82.8%], all P < .001). Radiologist detection sensitivity improved with BMD, reaching 92.7% to 95.0%. The mean reading time was reduced by 47% for trainees and 32% for experienced radiologists assisted by BMD relative to that without BMD. Conclusions BMD enables accurate BM detection. Reading with BMD improves radiologists’ detection sensitivity and reduces their reading times.