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Abstract Background Polycystic ovary syndrome (PCOS), a hormonal disorder affecting women of reproductive age, can be significantly impacted by diet. This study explores the relationship between a diet rich in phytochemicals, measured by the Dietary Phytochemical Index (DPI), and PCOS, along with associated health markers. Methods A case–control study design was implemented with 480 individuals diagnosed with PCOS based on the Rotterdam criteria, paired with 480 controls matched in terms of age and BMI. The evaluation encompassed dietary intake, anthropometric measurements, and hormonal/metabolic markers. Additionally, the DPI score was determined based on the consumption of phytochemical-rich foods. The study also examined PCOS-related complications like acne and irregular menstrual cycles, as well as mental health using the Beck Depression Inventory (BDI-II) scores. Results Women with PCOS had significantly lower DPI scores (32.42 vs 43.87, p

This is an article in the field of ceramics and composites.The high-temperature sintering method was used to prepare foamed ceramics by using fly ash and blast furnace slag as the main raw materials, adding silicon carbide (SiC) as a high temperature foaming agent and sodium borate (Na2B2O7) as a flux. The effects of raw material ratio, SiC addition and Na2B2O7 addition on the bubble structure, bulk density, water absorption, compressive strength and thermal conductivity of foamed ceramics were mainly studied. The experimental results showed that when the fly ash was 70%, the blast furnace slag was 30%, 0.3% SiC powder and 5% Na2B2O7 were added additionally, and the sintering temperature was 1 100℃ for 40 min, the foamed ceramic had the best comprehensive properties, and its bulk density was 0.516 g/cm3, with water absorption rate of 3.82%, compressive strength of 3.62 MPa, thermal conductivity of 0.094 W/(m·K). The main phases of the sample under this condition included quartz phase (SiO2), anorthite (CaAl2Si2O8) and pyroxene phase (Ca(Mg,Al,Fe)Si2O6), the massive precipitation of crystals enhanced the strength of the material. This research provided a new method for converting industrial solid wastes such as fly ash and blast furnace slag into high value-added building insulation materials.

This is an article in the field of metallurgical engineering. Aiming at the limitation of low reactivity of barite and few chemical processing methods, a new soda ash conversion method is proposed. Firstly, the effect of barite reaction particle size, temperature, and sodium carbonate concentration on the production rate of barium carbonate by the hydrochloric acid hydrolysis method is explored. The results show that the sodium carbonate concentration has the greatest impact on the reaction conversion rate. At limited experimental conditions, when sodium carbonate is used when the concentration reaches 28.57%, the highest formation rate of barium carbonate reaches 90.05%. Secondly, in the subsequent reaction, ammonium chloride is selected to re-convert the barite conversion product to prepare ammonium carbonate. The barium carbonate produced by this method has a higher yield and purity. The new process breaks through the traditional misconception that barium sulfate does not react with soda ash. The process is simple and feasible, and ammonia and carbon dioxide can be recycled and reused, making the entire process a large cycle process, in line with the concept of green environmental protection, and recrystallization. The preparation of barium carbonate from stone provides a new production process.

To reduce CO2 emissions from coal-fired power plants, the development of low-carbon or carbon-free fuel combustion technologies has become urgent. As a new zero-carbon fuel, ammonia (NH3) can be used to address the storage and transportation issues of hydrogen energy. Since it is not feasible to completely replace coal with ammonia in the short term, the development of ammonia–coal co-combustion technology at the current stage is a fast and feasible approach to reduce CO2 emissions from coal-fired power plants. This study focuses on modifying the boiler and installing two layers of eight pure-ammonia burners in a 300-MW coal-fired power plant to achieve ammonia–coal co-combustion at proportions ranging from 20% to 10% (by heat ratio) at loads of 180- to 300-MW, respectively. The results show that, during ammonia–coal co-combustion in a 300-MW coal-fired power plant, there was a more significant change in NOx emissions at the furnace outlet compared with that under pure-coal combustion as the boiler oxygen levels varied. Moreover, ammonia burners located in the middle part of the main combustion zone exhibited a better high-temperature reduction performance than those located in the upper part of the main combustion zone. Under all ammonia co-combustion conditions, the NH3 concentration at the furnace outlet remained below 1 parts per million (ppm). Compared with that under pure-coal conditions, the thermal efficiency of the boiler slightly decreased (by 0.12%–0.38%) under different loads when ammonia co-combustion reached 15 t·h−1. Ammonia co-combustion in coal-fired power plants is a potentially feasible technology route for carbon reduction.

Nectriaceae is a highly diverse family, and members have a worldwide distribution, particularly in warm temperate to tropical regions. During the survey of fungal diversity in different habitats in Yunnan province, China, two new species isolated from soil and air respectively, namely Atractium yunnanense sp. nov. and Nalanthamala xishuangbannaensis sp. nov., were proposed based on morphological comparisons and the multi-gene phylogenetic analyses of combined ITS, LSU, rpb2, and tub2 sequence data. Phylogenetically, both species clustered in a monophyletic clade within Nectriaceae with strong support. A. yunnanense is characterized by synnematous conidiophores, pale olivaceous-green, clavate to oblong-ellipsoidal, multi-septate conidia, and pale olivaceous-green chlamydospores. N. xishuangbannaensis has acremonium-like or penicillium-like conidiophores and either obovate or ellipsoidal, cylindrical or fusiform conidia. Full descriptions, illustrations, and a phylogenetic tree showing the phylogenetic position of the two new species were provided.

Abstract We aimed to investigate the preventive effect of vitamin D2 on COVID-19 and the improvement of symptoms after COVID-19 infection. The study recruited 228 health care workers who tested negative PCR or antigen for COVID-19. Subjects were randomly allocated to vitamin D2 or non-intervention at a ratio 1:1. Subjects recorded PCR or antigen tests and the symptoms of COVID-19 twice a week during the follow-up visit. The concentration of serum 25-hydroxyvitamin D (25(OH)D), C-reaction protein (CRP), complement component C1q and inflammatory cytokines were measured. The rates of COVID-19 infection were 50.5% in the vitamin D2 group and 52.4% in the non-intervention group (P = 0.785). There was no difference in the COVID-19 symptoms between the two groups. The mean 25(OH)D level significantly increased from 14.1 to 31.1 ng/mL after administration (P 30 ng/mL) and deficient groups (

Purpose Our research aimed to evaluate whether proto-oncogene serine/threonine-protein kinase Pim-1 (Pim1) inactivation could attenuate asthma by promoting runt-related transcription factor 3 (Runx3) expression and explore the underlying molecular mechanism.Method Phorbol 12-myristate 13-acetate (PMA, 50 nM) was used to induce inflammation in BEAS-2B human airway epithelial cells. ELISA and immunofluorescence double staining confirmed inflammation modelling and differential expression of Pim1 and Runx3. Pim1 inhibitor (SGI-1776) and Runx3 siRNA (siRunx3) were used in this study. Apoptosis, inflammation, MUC5AC protein expression, Pim1 kinase and Runx3 protein expression, and PI3K/AKT/nuclear factor-κB (NF-κB) pathway-associated protein expression were also assessed by flow cytometry, immunofluorescence and western blot. The effects of Pim1 inactivation on airway inflammation, pathological injury and mucus secretion in wild-type and Runx3 knockout mice were observed by in vivo experiments.Results The results of the in vitro experiments showed that PMA stimulation causes BEAS-2B cell apoptosis and promotes the MUC5AC expression. In addition, PMA stimulation activated the PI3K/AKT/NF-κB pathway. SGI-1776 treatment partially reversed these effects, whereas siRunx3 attenuated the effects of SGI-1776 on PMA-stimulated BEAS-2B cells. In vivo experiments showed that in Runx3-KO asthmatic mice, inhibition of Pim1 kinase had less effect on airway inflammation, pathological injury and mucus secretion. Meanwhile, Pim1 kinase expression was higher in Runx3-KO asthmatic mice than in wild-type asthmatic mice. Furthermore, inhibition of Pim1 kinase inhibited activation of the PI3K/AKT/NF-κB pathway, whereas these effects were attenuated in Runx3-KO mice.Conclusion Our results suggest that Pim1 inactivation can ameliorate airway inflammation and mucus hypersecretion through upregulation of Runx3 and the effect could be mediated through modulation of the PI3K/AKT/NF-κB pathway.

Osteoarthritis (OA) is a common joint degenerative disease which currently lacks satisfactory disease-modifying treatments. Oxidative stress-mediated senescent chondrocytes accumulation is closely associated with OA progression, which abrogates cartilage metabolism homeostasis by secreting senescence-associated secretory phenotype (SASP) factors. Numerous studies suggested mesenchymal stem cells-derived small extracellular vesicles (MSC-sEVs) have been regarded as promising candidates for OA therapy. However, MSC-sEVs were applied before the occurrence of cartilage degeneration or at early-stage OA, while in clinical practice, most OA patients who present with pain are already in non-early-stage. Recently, embryonic stem cells-derived sEVs (ESC-sEVs) have been reported to possess powerful anti-aging effects. However, whether ESC-sEVs could attenuate non-early-stage OA progression remains unknown. In this study, we demonstrated ESC-sEVs ameliorated senescent phenotype and cartilage destruction in both mechanical stress-induced non-early-stage posttraumatic OA and naturally aged mice. More importantly, we found ESC-sEVs alleviated senescent phenotype by rejuvenating aged chondrocytes but not inducing apoptosis. We also provided evidence that the FOXO1A-autophagy axis played an important role in the anti-aging effects of ESC-sEVs. To promote clinical translation, we confirmed ESC-sEVs reversed senescent phenotype in ex-vivo cultured human end-stage OA cartilage explants. Collectively, our findings reveal that ESC-sEVs-based therapy is of high translational value in non-early-stage OA treatment.

Abstract The climate and land use changes caused by the natural environment and socioeconomic development have potential impacts on the green and sustainable development of agriculture. To accommodate agricultural production under multiple scenarios of future climate and land‐use change, this study proposes a “simulation–optimization” modeling approach based on a crop growth model with a synergistic “carbon emission–economic benefit” approach. This approach is based on climate change conditions and it accurately simulates future land use changes and crop growth processes, establishes a carbon emission intensity optimization model, and generates a spatial planting structure optimization and regulation scheme based on intelligent optimization algorithms under changing scenarios. The results of the model application show that the planting structure option in the future scenario can increase economic benefit by up to 14.8% compared to the current scenario while simultaneously reducing total greenhouse gas emissions by 6.77%. Correlation analysis of planting area, irrigation water volume, carbon intensity value and unilateral water use efficiency can be used to obtain the coordination level of each county under different regulation scenarios. This “simulation–optimization” modeling approach provides an effective approach to achieve synergistic and coordinated development of regional agricultural benefits and carbon reduction by fine‐tuning the planting structure, which promotes low‐carbon and high‐quality development of regional agriculture.

BackgroundThe prognosis for lung adenocarcinoma (LUAD) remains dismal, with a 5-year survival rate of

[Introduction] Facing the rapid transfer of extreme fault energy of the HL-3 fusion scientific apparatus, it is required to configure a large-capacity bypass switch for short-circuit protection. [Method] Based on the parameters of HL-3 magnet power supply, and in combination with power electronic converter technology and thyristor trigger application foundation, this paper integrated the practical experience of power electronic converter engineering, and used the following means and methods at the harsh working conditions of multi-parallel thyristor consistency conduction and stable current sharing in fast impact application: the equal length type improvement of parallel branch conductive circuit; consistency screening of parallel component parameters, differential selection of component position and parameters in parallel arm; physically forced current sharing by adding a series resistance on the side of the silicon controlled rectifier, calculation of the thermal stability of the additional resistance, and checking calculation of the electrodynamics impact of the parallel bridge arm; thyristor high-frequency pulse train strong trigger. [Result] A stable crowbar bypass protection electronic switch system for high-capacity fusion of 220 kA class of thyristor was deduced and designed, which was verified by experimental simulation and 160 kA impact test under actual load, and the matching requirements of large-capacity bypass switch for HL-3 protection were realized. [Conclusion] Under thermal and stability checking calculation, it is completely feasible to realize the matching application of large-capacity crowbar in fusion by adopting comprehensive means such as circuit improvement, additional physical force current sharing, component parameter screening and assembly, and trigger mode adjustment.

Abstract Domesticated safflower (Carthamus tinctorius L.) is a widely cultivated edible oil crop. However, despite its economic importance, the genetic basis underlying key traits such as oil content, resistance to biotic and abiotic stresses, and flowering time remains poorly understood. Here, we present the genome assembly for C. tinctorius variety Jihong01, which was obtained by integrating Oxford Nanopore Technologies (ONT) and BGI-SEQ500 sequencing results. The assembled genome was 1,061.1 Mb, and consisted of 32,379 protein-coding genes, 97.71% of which were functionally annotated. Safflower had a recent whole genome duplication (WGD) event in evolution history and diverged from sunflower approximately 37.3 million years ago. Through comparative genomic analysis at five seed development stages, we unveiled the pivotal roles of fatty acid desaturase 2 (FAD2) and fatty acid desaturase 6 (FAD6) in linoleic acid (LA) biosynthesis. Similarly, the differential gene expression analysis further reinforced the significance of these genes in regulating LA accumulation. Moreover, our investigation of seed fatty acid composition at different seed developmental stages unveiled the crucial roles of FAD2 and FAD6 in LA biosynthesis. These findings offer important insights into enhancing breeding programs for the improvement of quality traits and provide reference resource for further research on the natural properties of safflower.

Abstract Background The tea plant (Camellia sinensis (L.) O. Kuntze) is one of the most economically important woody crops. Plastic greenhouse covering cultivation has been widely used in tea areas of northern China. Chlorophyll is not only the crucial pigment for green tea, but also plays an important role in the growth and development of tea plants. Currently, little is known about the effect of plastic greenhouse covering cultivation on chlorophyll in tea leaves. Results To investigate the effect of plastic greenhouse covering cultivation on chlorophyll in tea leaves, color difference values, chlorophyll contents, gene expression, enzyme activities and photosynthetic parameters were analyzed in our study. Sensory evaluation showed the color of appearance, liquor and infused leaves of greenhouse tea was greener than field tea. Color difference analysis for tea liquor revealed that the value of ∆L, ∆b and b/a of greenhouse tea was significantly higher than field tea. Significant increase in chlorophyll content, intracellular CO2, stomatal conductance, transpiration rate, and net photosynthetic rate was observed in greenhouse tea leaves. The gene expression and activities of chlorophyll-metabolism-related enzymes in tea leaves were also activated by greenhouse covering. Conclusion The higher contents of chlorophyll a, chlorophyll b and total chlorophyll in greenhouse tea samples were primarily due to higher gene expression and activities of chlorophyll-metabolism-related enzymes especially, chlorophyll a synthetase (chlG), pheophorbide a oxygenase (PAO) and chlorophyllide a oxygenase (CAO) in tea leaves covered by greenhouse. In general, our results revealed the molecular basis of chlorophyll metabolism in tea leaves caused by plastic greenhouse covering cultivation, which had great significance in production of greenhouse tea.

Abstract Existing segmentation‐based methods have made considerable progress in arbitrarily shaped text detection due to the advantage of dealing with shape variation. However, there still exist challenges to detecting accurate text instances with dense layouts, inaccurate annotations, and complex backgrounds. Many recent works have focused on improving arbitrary boundary prediction, but it may be difficult to accurately distinguish each instance of dense layouts because their boundary pixels may be mistakenly classified to produce inaccurate results (i.e., adhesive texts) with inaccurate annotation and complex backgrounds. Considering the local and long‐range dependencies, this paper proposes an efficient text detector, namely T‐Skeleton, to obtain more reliable segmentation detections. In the spirit of object skeletonization, we introduce the text instance skeleton highlighting the semantically significant structure (similar to the skeleton of a fish) to explicitly capture the long‐range dependencies of text instances. The key idea of T‐Skeleton is to calibrate the coarse text proposals by embedding text instance skeletons to separate crowd texts accurately and robustly. We further design a channel attention module to enlarge the performance margin between T‐Skeleton and the segmentation baseline. Experimental results on four publicly available datasets show the superiority of T‐Skeleton in handling long and curved texts.

Purpose – During the construction process of the China Railway Track System (CRTS) I type filling layer, the nonwoven fabric bags have been used as grouting templates for cement asphalt (CA) emulsified mortar. The porous structure of nonwoven fabrics endowed the templates with breathability and water permeability. The standard requires that the volume expansion rate of CA mortar must be controlled within 1%–3%, which can generate expansion pressure to ensure that the cavities under track slabs are filled fully. However, the expansion pressure caused some of the water to seep out from the periphery of the filling bag, and it would affect the actual mix proportion of CA mortar. The differences in physical and mechanical properties between the CA mortar under track slabs and the CA mortar formed in the laboratory were studied in this paper. The relevant results could provide important methods for the research of filling layer materials for CRTS I type and other types of ballastless tracks in China. Design/methodology/approach – During the inspection of filling layer, the samples of CA mortar from different working conditions and raw materials were taken by uncovering the track slabs and drilling cores. The physical and mechanical properties of CA mortar under the filling layer of the slab were systematically analyzed by testing the electrical flux, compressive strength and density of mortar in different parts of the filling layer. Findings – In this paper, the electric flux, the physical properties and mechanical properties of different parts of CA mortar under the track slab were investigated. The results showed that the density, electric flux and compressive strength of CA mortar were affected by the composition of raw materials for dry powders and different parts of the filling layer. In addition, the electrical flux of CA mortar gradually decreased within 90 days’ age. The electrical flux of samples with the thickness of 54 mm was lower than 500 C. Therefore, the impermeability and durability of CA mortar could be improved by increasing the thickness of filling layer. Besides, the results showed that the compressive strength of CA mortar increased, while the density and electric flux decreased gradually, with the prolongation of hardening time. Originality/value – During 90 days' age, the electrical flux of the CA mortar gradually decreased with the increase of specimen thickness and the electrical flux of the specimens with the thickness of 54 mm was lower than 500 C. The impermeability and durability of the CA mortar could be improved by increasing the thickness of filling layer. The proposed method can provide reference for the further development and improvement of CRTS I and CRTS II type ballastless track in China.

Abstract Background Urinary incontinence is highly prevalent in women while pelvic floor muscle training is recommended as the first-line therapy. However, the exact treatment regimen is poorly understood. Also, patients with pelvic floor muscle damage may have decreased muscle proprioception and cannot contract their muscles properly. Other conservative treatments including electromagnetic stimulation are suggested by several guidelines. Thus, the present study aims to compare the effectiveness of electromagnetic stimulation combined with pelvic floor muscle training as a conjunct treatment for urinary incontinence and different treatment frequencies will be investigated. Methods/design This is a randomized, controlled clinical trial. We will include 165 patients with urinary incontinence from the outpatient center. Participants who meet the inclusion criteria will be randomly allocated to three groups: the pelvic floor muscle training group (active control group), the low-frequency electromagnetic stimulation group (group 1), and the high-frequency electromagnetic stimulation group (group 2). Both group 1 and group 2 will receive ten sessions of electromagnetic stimulation. Group 1 will be treated twice per week for 5 weeks while group 2 will receive 10 days of continuous treatment. The primary outcome is the change in International Consultation on Incontinence Questionnaire–Short Form cores after the ten sessions of the treatment, while the secondary outcomes include a 3-day bladder diary, pelvic floor muscle function, pelvic organ prolapse quantification, and quality of life assessed by SF-12. All the measurements will be assessed at baseline, after the intervention, and after 3 months of follow-up. Discussion The present trial is designed to investigate the effects of a conjunct physiotherapy program for urinary incontinence in women. We hypothesize that this strategy is more effective than pelvic floor muscle training alone, and high-frequency electromagnetic stimulation will be superior to the low-frequency magnetic stimulation group.

Abstract The interactions between the rumen microbiota and the host are crucial for the digestive and absorptive processes of ruminants, and they are heavily influenced by the climatic conditions of their habitat. Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants regulate the host transcriptome and the composition of their rumen microbiota. Using the model species of goats, we examined the variations in the rumen microbiota, transcriptome regulation, and climate of the environment between high altitude (Lhasa, Xizang; 3650 m) and low altitude (Chengdu, Sichuan, China; 500 m) goats. The results of 16 S rRNA sequencing revealed variations in the abundance, diversity, and composition of rumen microbiota. Papillibacter, Quinella, and Saccharofermentans were chosen as potential microbes for the adaptation of Xizang goats to the harsh climate of the plateau by the Spearman correlation study of climate and microbiota. Based on rumen transcriptome sequencing analysis, 244 genes were found to be differentially expressed between Xizang goats and low-altitude goats, with 127 genes showing up-regulation and 117 genes showing down-regulation. SLC26A9, GPX3, ARRDC4, and COX1 were identified as potential candidates for plateau adaptation in Xizang goats. Moreover, the metabolism of fatty acids, arachidonic acids, pathway involving cytokines and their receptors could be essential for adaptation to plateau hypoxia and cold endurance. The expression of GPX3, a gene linked to plateau acclimatization in Xizang goats, was linked to the abundance of Anaerovibrio, and the expression of SLC26A9 was linked to the quantity of Selenomonas, according to ruminal microbiota and host Spearman correlation analysis. Our findings imply that in order to adapt harsh plateau conditions, Xizang goats have evolved to maximize digestion and absorption as well as to have a rumen microbiota suitable for the composition of their diet.

Purpose To investigate the feasibility, safety and efficacy of high intensity focused ultrasound ablation (HIFU) as a preoperative treatment for challenging hysteroscopic myomectomies.Materials and methods A total of 75 patients diagnosed with types 0–III of uterine fibroids were enrolled. Based on the Size, Topography, Extension of the base, Penetration and lateral Wall position (STEPW) classification scoring system, 25 cases with a score ≥ 5 points were treated with HIFU followed by hysteroscopic myomectomy (HIFU + HM group), whereas 50 cases with a score < 5 points were treated with hysteroscopic myomectomy (HM group).Results The median preoperative STEPW score was 7 in the HIFU + HM group and 2 in the HM group. The average non-perfused volume (NPV) ratio achieved in fibroids after HIFU was 86.87%. Patients in the HIFU + HM group underwent hysteroscopic myomectomy one to four days after HIFU, and downgrading was observed in 81.81% of fibroids. The operation time for patients in the HIFU + HM group was 73 min and the success rate of myomectomy in a single attempt was 60%. The volume of distention medium used during the operation was greater in the HIFU + HM group than in the HM group (15,500 ml vs. 7500 ml). No significant difference was observed between the two groups in terms of intraoperative blood loss, the incidence of intraoperative and postoperative complications, menstrual volume score, or uterine fibroid quality of life score.Conclusion HIFU can be utilized as a preoperative treatment for large submucosal fibroids prior to hysteroscopic myomectomy. HIFU offers a novel approach in the management of this subset of patients.

Abstract Background Beta 2‐microglobulin (β2‐MG) is a component of the class I major histocompatibility complex (MHCI) and has recently been reported to be involved in type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, the association of β2‐MG with left ventricular hypertrophy (LVH) in T2DM patients remains unknown. This study aims to investigate the correlation between serum β2‐MG and LVH in T2DM patients. Methods The retrospective analysis included 4602 eligible T2DM patients, divided into LVH and non‐LVH groups based on echocardiography results. Serum β2‐MG levels were measured, and participants were categorized into four groups (Q1–Q4) by their serum β2‐MG quartile. The relationship of serum β2‐MG level with LVH was evaluated using logistic regression, restricted cubic spline (RCS), subgroup analysis, and machine learning. Results The prevalence of LVH in T2DM patients was 31.12%. Each standard deviation increase in serum β2‐MG level corresponded to a 1.17‐fold increase in the prevalence of LVH [OR = 1.17, (95% CI: 1.05–1.31); p = 0.006]. When considering β2‐MG as a categorical variable (quartile), Q3 [OR = 1.36, (95% CI: 1.09–1.69); p = 0.007] and Q4 [OR = 1.77, (95% CI: 1.36–2.31); p

Cardiotoxicity and QT interval prolongation have been a common cause of withdrawal of drugs from the market. FCN-437c is an oral, second-generation, potent, and selective CDK4/6 inhibitor for the treatment of patients with HR+/HER2- metastatic breast cancer. A single-center, double-blind, randomized, and placebo-controlled clinical study in healthy subjects was conducted to investigate the QTc prolongation potential of FCN-437c utilizing Concentration-QTc (C-QTc) modeling approach. FCN-437c was administered at doses of 300, and 400 mg with single oral administration, along with placebo, in 18 healthy subjects. Electrocardiograms (ECGs) through 24 h holter monitor and blood samples were collected. The Cmax of 400 mg single dose in healthy subjects is similar to that from therapeutic dose 200 mg QD at steady state in patients with cancer. The 90% CI upper limit of ΔΔQTcF at the Cmax geometric mean in both dose groups were

Some plant-associated microorganisms could improve host plants biotic and abiotic stress tolerance. Imperata cylindrica is a dominant pioneer plant in some abandoned mine lands with higher concentrations of heavy metal (HM). To discover the specific microbiome of I. cylindrica in this extreme environment and evaluate its role, the microbiome of I. cylindrica’s seeds and rhizosphere soils from HM heavily contaminated (H) and lightly contaminated (L) sites were studied. It was found that HM-contamination significantly reduced the richness of endophytic bacteria in seeds, but increased the abundance of resistant species, such as Massilia sp. and Duganella sp. Spearman’s rank correlation coefficient analysis showed that both Massilia sp. and Duganella sp. showed a significant positive correlation with Zn concentration, indicating that it may have a strong tolerance to Zn. A comparison of the microbiome of rhizosphere soils (RS) and adjacent bare soils (BS) of site H showed that I. cylindrica colonization significantly increased the diversity of fungi in rhizosphere soil and the abundance of Ascomycota associated with soil nutrient cycling. Spearman’s rank correlation coefficient analysis showed that Ascomycota was positively correlated with the total nitrogen. Combined with the fact that the total nitrogen content of RS was significantly higher than that of BS, we suppose that Ascomycota may enhance the nitrogen fixation of I. cylindrica, thereby promoting its growth in such an extreme environment. In conclusion, the concentration of HM and nutrient contents in the soil significantly affected the microbial community of rhizosphere soils and seeds of I. cylindrica, in turn, the different microbiomes further affected soil HM concentration and nutrient contents. The survival of I. cylindrica in HM severely contaminated environment may mainly be through recruiting more microorganisms that can enhance its nutrition supply.

ObjectiveTo accurately verify the pathogenicity of variants of uncertain significance (VUS) in MUT and MMACHC genes through mass spectrometry and silico analysis.MethodsThis multicenter retrospective study included 35 participating units (ClinicalTrials.gov ID: NCT06183138). A total of 3,071 newborns (within 7 days of birth) were sorted into carrying pathogenic/likely pathogenic (P/LP) variants and carrying VUS, non-variant groups. Differences in metabolites among the groups were calculated using statistical analyses. Changes in conservatism, free energy, and interaction force of MMUT and MMACHC variants were analyzed using silico analysis.ResultsThe percentage of those carrying VUS cases was 68.15% (659/967). In the MMUT gene variant, we found that C3, C3/C2, and C3/C0 levels in those carrying the P/LP variant group were higher than those in the non-variant group (p < 0.000). The conservative scores of those carrying the P/LP variant group were >7. C3, C3/C0, and C3/C2 values of newborns carrying VUS (c.1159A>C and c.1286A>G) were significantly higher than those of the non-variant group and the remaining VUS newborns (p < 0.005). The conservative scores of c.1159A>C and c.1286A>G calculated by ConSurf analysis were 9 and 7, respectively. Unfortunately, three MMA patients with c.1159A>C died during the neonatal period; their C3, C3/C0, C3/C2, and MMA levels were significantly higher than those of the controls.ConclusionCommon variants of methylmalonic acidemia in the study population were categorized as VUS. In the neonatal period, the metabolic biomarkers of those carrying the P/LP variant group of the MUT gene were significantly higher than those in the non-variant group. If the metabolic biomarkers of those carrying VUS are also significantly increased, combined with silico analysis the VUS may be elevated to a likely pathogenic variant. The results also suggest that mass spectrometry and silico analysis may be feasible screening methods for verifying the pathogenicity of VUS in other inherited metabolic diseases.

Numerous studies have demonstrated that neuron-specific enolase (NSE) serves as a distinctive indicator of neuronal injury, with its concentration in blood reflecting the extent and magnitude of nervous system damage, and the expression of serum NSE is correlated with cognitive dysfunction. The assessment of NSE holds significant importance in diagnosing cognitive dysfunction, assessing disease severity, predicting prognosis, and guiding treatment. In this review, the research progress of NSE in cognitive dysfunction was reviewed, and the value of serum NSE level in predicting disease severity and prognosis of patients with cognitive dysfunction was discussed.

Wastewater treatment is an important source of greenhouse gases (GHGs). Yet large uncertainties remain in the quantification of GHG emissions from municipal wastewater treatment plants (MWWTPs) in China. A high-resolution and technology-specific emission inventory is still lacking to support mitigation strategies of MWWTPs. Here we develop a plant-level and technology-based MWWTP emission inventory for China covering 8703 plants and 19 treatment technology categories by compiling and harmonizing the most up-to-date facility-level databases. China's methane (CH4) and nitrous oxide (N2O) emissions from MWWTPs in 2020 are estimated to be 150.6 Gg and 22.0 Gg, respectively, with the uncertainty range of −30% to 37% and −30% to 26% at 95% confidence interval. We find an emission inequality across cities, with the richest cities emitting two times more CH4 and N2O per capita from municipal wastewater treatment than the poorest cities. The emitted CH4 and N2O are dominated by Anaerobic/Anoxic/Oxic-, Sequencing Batch Reactor-, Oxidation Ditch-, and Anoxic/Oxic-based MWWTPs of less than 20 years old. Considering the relatively young age structure of China's MWWTPs, the committed emissions highlight the importance of reducing on-site GHG emissions by optimization of operating conditions and innovation management. The emission differences among our estimates, previous studies, and the Intergovernmental Panel on Climate Change guidelines are largely attributed to the uncertainties in emission factors, implying the urgent need for more plant-integrated measurements to improve the accuracy of emission accounting.

IntroductionThe demand for fresh–cut water chestnuts, a convenient and nutritive vegetable, is increasing in market. However, the slicing of water chestnuts can cause mechanical damage to tissue, which results in quality deterioration. We aimed to select the optimal treatment through a comprehensive comparison of the preservation effect of acetic acid, which could prolong the shelf life of fresh–cut water chestnuts and improve their storage quality.MethodsA comprehensive evaluation was conducted using the gray–correlation method based on the variation–coefficient weight to observe the treatment of 0, 2 and 5% acetic acid. Their effects on color, weight loss rate, and the content of ascorbic acid, total sugar, reducing sugar, soluble protein, and free amino acid were determined.ResultsThe color, weight loss rate, and nutritional content of fresh–cut chestnuts varied under different processing and storage times. When stored for more than 4 days, the b* value, and the content of total sugar and soluble protein in CK were higher than those in 2% or 5% acetic acid, but the weight loss rate, and the content of ascorbic acid and free amino acid in CK were less than those in acetic acid treatments. Considering various indicators, it was difficult to determine which treatment to choose for fresh–cut water chestnut preservation. The gray–correlation analysis results indicated that when stored for 8, 12, or 16 days, the gray–correlation degree of 5% acetic acid was the highest, while that of the control was the lowest. It could be directly concluded by the gray–correlation degree that when the storage time exceeded 4 days, acetic acid could be used to improve storage quality, and 5% acetic acid had a better preservation effect than 2%. Fresh–cut water chestnuts can be stored for 4 days without the need for acetic acid treatment.ConclusionThese findings could provide information and comprehensive evaluation methods for the preservation of fresh–cut fruits and vegetables. The next step is to evaluate the preservation effect of acetic acid by measuring its effects on other indicators of fresh–cut water chestnuts (e.g., flavonoids, and microorganisms), providing ideas for the research of preservatives.

Long pulse thermography (LPT) and shearography have been developed as primary methods for detecting debonding or delamination defects in composites due to their full-field imaging, non-contact operation, and high detection efficiency. Both methods utilize halogen lamps as the excitation source for thermal loading. However, the defects detected by the two techniques differ due to their distinct inspection mechanisms. In this study, LPT and shearography are employed to evaluate internal damage in various composite structures. The experimental results demonstrate that LPT, when combined with thermal signal processing algorithms, can clearly detect debonding defects in rubber-to-metal bonded plates, whereas excessive adhesive defects can only be identified by shearography. Flat-bottom holes in the CFRP panel can only be detected by LPT, and shearography is particularly effective for detecting composite materials with a metal skin. For the quantitative measurement of defect sizes, the average errors of the rubber-to-metal bonded plate and CFRP panel using LPT are 4.9 % and 2.2 %, respectively, whereas the average errors of the rubber-to-metal bonded plate and aluminum honeycomb panel using shearography are 15.12 % and 95.4 %, respectively. This indicates that LPT is superior to shearography in quantitatively measuring defect sizes. These two nondestructive testing methods, based on different principles, each have their own advantages and disadvantages. Employing a multi-modal inspection method can leverage their complementary advantages, preventing misdetection and leakage of internal defects in composites.

Stimulated reservoir volume (SRV) fracturing has become the most efficient technology in the treatment of unconventional hydrocarbon reservoir formations. This process aims to optimize well productivity by establishing an intricate network of fractures that integrate hydraulic and natural fractures, distal to the wellbore, thereby amplifying the contact area with the subterranean formations and fracture systems. This study introduces a quantitative framework designed to characterize the fracturing effects within naturally fractured unconventional hydrocarbon reservoirs. Leveraging existing fracturing treatment designs and production performance data, the study formulates a mathematical model of the complex fracture network, predicated on the principle of material balance. The model comprehensively accounts for the development degree of natural fractures, the morphological impact of stress differentials on the fracture network, and the imbibition displacement effects of the fracturing fluids. The model’s accuracy is verified through an integration with microseismic monitoring data and an enhanced understanding of reservoir development. Building upon this foundation, the study quantitatively dissects the impact of various engineering parameters on the efficacy of SRV fracturing. The proposed quantitative characterization method is adept for widespread application across multiple wells in oil and gas fields, offering a distinct advantage for the swift and precise assessment of SRV fracturing outcomes in naturally fractured unconventional hydrocarbon reservoirs. The research method, which is based on readily accessible fracturing construction data and is more convenient, can to a certain extent improve the efficiency of hydraulic fracturing evaluation work.

Small interference RNA (siRNA) is a class of short double-stranded RNA molecules that cause mRNA degradation through an RNA interference mechanism and is a promising therapeutic modality. RBD1016 is a siRNA drug in clinical development for the treatment of chronic Hepatitis B Virus (HBV) infection, which contains a conjugated with N-acetylglucosamine moiety that can facilitate its hepatic delivery. We aimed to construct a semi-mechanistic model of RBD1016 in pre-clinical animals, to elucidate the pharmacokinetic/pharmacodynamic (PK/PD) profiles in mice and PK profiles in monkeys, which can lay the foundation for potential future translation of RBD1016 PK and PD from the pre-clinical stage to the clinic stage. The proposed semi-mechanistic PK/PD model fitted PK and PD data in HBV transgenic mice well and described plasma and liver concentrations in the monkeys well. The simulation results showed that our model has a reasonable predictive ability for Hepatitis B surface antigen (HBsAg) levels after multiple dosing in mice. Further PK and PD data for RBD1016, including clinical data, will assist in refining the model presented here. Our current effort focused on model building for RBD1016, we anticipate that the model could apply to other GalNAc-siRNA drugs.

The occurrence and ecological risks of 16 polycyclic aromatic hydrocarbons (PAHs) in different types of urban road runoff in Beijing during two typical rainfall events were studied. The average concentration of PAHs in road runoff particulate was in the order of Guanyuanqiao Road (ring road, 15,175 ng/L) > Huayuanqiao Road (primary road, 4,792 ng/L) > Dongcheng Alley (alley, 4,774 ng/L) > Nansihuan Viaduct (viaduct, 770 ng/L), much higher than dissolved PAHs. The total concentration of ∑16PAHs decreased with runoff scouring. Rainfall conditions and the accumulation of PAHs in the early rainfall period show a significant impact on PAHs pollution. The event mean concentration range of PAHs is 674–21,596 ng/L, following in the order of ring road > primary road > alley > viaduct. The proportion of four-ring PAHs was the highest. The first flush effect of PAHs is found in both rainfall events, and the effect of different ring PAHs is relatively similar. The content of PAHs is positively correlated with the amount of total organic carbon and suspended substance in runoff (r2> 0.72). The ecological risk assessment indicated that PAHs in road runoff except viaduct road corresponded to high risk. HIGHLIGHTS Polycyclic aromatic hydrocarbon (PAH) concentration decreased with runoff scouring and particulate PAHs was much higher than dissolved PAHs.; The event mean concentration of PAHs in road runoff is 674–21,596 ng/L where four-ring PAHs is most.; The first flush of PAHs occurs and the effect of different ring PAHs is similar.; PAHs amount is positively correlated with total organic carbon and suspended substance in runoff (r2 > 0.72).; PAHs in road runoff except for viaduct road corresponded to high ecological risk.;

Abstract Background Peach bacterial shot hole, caused by Xanthomonas arboricola pv pruni (Xap), is a global bacterial disease that poses a threat to the yield and quality of cultivated peach trees (Prunus persica). Results This study compared the mRNA and miRNA profiles of two peach varieties, ‘Yanbao’ (resistant) and ‘Yingzui’ (susceptible), after inoculation with Xap to identify miRNAs and target genes associated with peach tree resistance. mRNA sequencing results revealed that in the S0-vs-S3 comparison group, 1574 genes were upregulated and 3975 genes were downregulated. In the R0-vs-R3 comparison group, 1575 genes were upregulated and 3726 genes were downregulated. Through miRNA sequencing, a total of 112 known miRNAs belonging to 70 miRNA families and 111 new miRNAs were identified. Notably, some miRNAs were exclusively expressed in either resistant or susceptible varieties. Additionally, 59 miRNAs were downregulated and 69 miRNAs were upregulated in the R0-vs-R3 comparison group, while 46 miRNAs were downregulated and 52 miRNAs were upregulated in the S0-vs-S3 comparison group. Joint analysis of mRNA and miRNA identified 79 relationship pairs in the S0-vs-S3 comparison group, consisting of 48 miRNAs and 51 target genes. In the R0-vs-R3 comparison group, there were 58 relationship pairs, comprising 28 miRNAs and 20 target genes. Several target genes related to resistance, such as SPL6, TIFY6B, and Prupe.4G041800_v2.0.a1 (PPO), were identified through literature reports and GO/KEGG enrichment analysis. Conclusion In conclusion, this study discovered several candidate genes involved in peach tree resistance by analyzing differential expression of mRNA and miRNA. These findings provide valuable insights into the mechanisms underlying resistance to Xap in peach trees.

Bolts are indispensable in power systems, serving a critical function in securely fastening various components and ensuring stable operation of transmission lines. To address the challenges associated with detecting small bolt objects in images captured by unmanned aerial vehicles (UAVs), we propose an enhanced multi-scale YOLOv7 model called multi-scale YOLOv7 (MS-YOLOv7). First, a multi-scale path aggregation network (M-PANet) is developed, which seamlessly integrates multi-scale information and features four detection heads, thereby reducing the miss rate of small objects. Second, a channel-coordinate attention (CCA) mechanism is introduced to enhance the network’s focus on spatial and channel information, thereby augmenting object localization accuracy. Furthermore, in the feature fusion process, the selected convolutions are replaced with a fully self-calibrated convolutional network (FSCNet) to expand the receptive field and enable richer feature extraction. Finally, standard max pooling is replaced with space-to-depth convolution (SPD-Conv) to preserve object detail information during the downsampling phase. Experimental results on a proprietary bolt defect dataset demonstrated significant improvements over the original YOLOv7 model, with a 2.52% increase in mean Average Precision (mAP), a 3.07% improvement in recall, a 1.54% improvement in accuracy, and a 2.41% increase in F1 score. The algorithm also exhibited robust performance on the CSUST Chinese traffic sign detection benchmark (CCTSDB) dataset, demonstrating its strong generalization ability and robustness.

Due to their inherent nature, each type of microorganism exhibits unique resistance to various disinfection processes. Disinfection with nanomaterials represents a promising technology that has garnered significant interest. Among them, ZIF material has antibacterial and antiviral activities, and ZIF-67 material is a new type of nanomaterial that can effectively kill bacteria and viruses, with the potential for large-scale use. Therefore, in this paper, we investigate the differences between nanomaterial disinfection techniques (employing ZIF-67) and traditional inactivation techniques (e.g., ultraviolet-C and ozone). Phage MS2 and PhiX174 and their respective host E. coli were chosen as the representative microorganisms. Our findings indicate that phages exhibit greater resistance to ZIF-67 and traditional disinfection techniques than bacteria, but different techniques show specific disinfection effects on the three disinfection microorganisms. Considering the differences, choosing appropriate disinfection techniques based on the characteristics of the disinfected substances in practical disinfection technology selection is essential.

The telescopic boom forklift is a very efficient engineering equipment because of its distinctive boom system. However, to speed up product development and reduce costs, surrogate models should be constructed to replace computationally expensive co-simulation models for design optimization. In this paper, telescopic boom forklift design is investigated using deep transfer learning and is coupled with a mode pursuing sampling algorithm to determine and propose optimal solutions based on observed boom amplitude. A workflow that combines uncertainty analysis-based active data development, deep surrogate modeling, and global optimization is proposed. It considers the common characteristics of the existing product simulation data, the personality characteristics of the current product, and the learning characteristics of the neural network when searching for the best surrogate. We demonstrated that tuned Multiplayer perceptron (MLP) can make accurate predictions and be used to create an acceptable surrogate model. The correlation coefficient (R) indicator can reach 9.34 when only 25 groups of data are used. Additionally, a 38.28% reduction in Root mean square error (RMSE) and a 26.25% reduction in Maximum absolute error (MAE) can be achieved when compared to benchmarks. Generated designs attain the maximal boom amplitude that is lower by more than 46% and the fluctuation range from (3-35) MPa to (8-19) MPa. Overall, we have demonstrated that the proposed framework has merit and can be used as a viable methodology in telescopic boom forklift design optimization. Moreover, it can also provide useful references for the simulation optimization of other complex electromechanical products.

Abstract Background Prognosis is critically important in stroke cases, with angiogenesis playing a key role in determining outcomes. This study aimed to investigate the potential protective effects of Atractylenolide I (Atr I), Atractylenolide III (Atr III), and Paeoniflorin (Pae) in promoting angiogenesis following cerebral ischemia. Methods The bEnd.3 cell line was used to evaluate the effects of these three compounds on vascular endothelial cell proliferation, migration, and tube formation. Male C57BL/6 mice underwent transient middle cerebral artery occlusion (MCAO), followed by daily intragastric administration of the Chinese medicine compounds to assess their impact on brain protection and angiogenesis. In vivo experiments included measuring infarct size and assessing neurological function. Immunofluorescence staining and an angiogenesis antibody array were used to evaluate angiogenesis in ischemic brain tissue. Functional enrichment analysis was performed to further investigate the pathways involved in the protective effects of the compounds. Molecular docking analysis explored the potential binding affinity of the compounds to insulin-like growth factor 2 (IGF-2), and Western blotting was used to measure levels of angiogenesis-related proteins. Results In vitro, the combination of Atr I, Atr III, and Pae enhanced cell proliferation, promoted migration, and stimulated tube formation. In vivo, the combined treatment significantly facilitated neurological function recovery and angiogenesis by day 14. The treatment also increased levels of angiogenesis-related proteins, including IGF-2. Pearson correlation analysis revealed a strong positive association between IGF-2 levels in ischemic brain tissue and angiogenesis, suggesting a good affinity of the compounds for the IGF-2 binding site, as supported by molecular docking analysis. Conclusion The administration of Atr I, Atr III, and Pae has shown significant enhancements in long-term stroke recovery in mice, likely due to the promotion of angiogenesis via increased activation of the IGF-2 pathway in ischemic brain tissue. Graphical Abstract

Raphasatin, also known as sulforaphane, is primarily found in vegetables of the Brassicaceae family, specifically those of the Raphanus and Brassica genera. It is an isothiocyanate compound produced by the hydrolysis of glucosinolates under the action of endogenous myrosinase enzymes. Raphasatin was shown to have the strongest anticancer properties among vegetables, demonstrating a significant inhibitory effect on various forms of cancer such as breast cancer, liver cancer, and colon cancer. This paper reviews the stability of raphasatin and methods for its extraction and purification. It explains the mechanisms by which raphasatin protects cells under oxidative stress by inducing the expression of related antioxidant proteins and detoxifying enzymes, and how it alleviates or suppresses inflammation through involvement in NF-κB signaling pathway. Additionally, it explores its physiological functions in preventing and treating Helicobacter pylori infections, lung bacteria, mental disorders, and neurodegenerative diseases, etc. Furthermore, the paper summarizes the current status and prospects of raphasatin products in the fields of biomedicine, health supplements, and food, providing a reference for the scientific research and application of raphasatin.

Karst geology is widely distributed in China, and karst water gushing has become a huge disaster and challenge for the safe production of limestone mines. Taking the large-flow water inflow of a karst sunken open pit mine in Guangxi as the research object, aiming at the characteristics of complex geological conditions, large concentrated water inflow and high flow rate of the mine, the karst development characteristics, data analysis and geophysical exploration methods are used to preliminarily delineate the mine runoff zone area and water source. After that, the specific location of the karst pipeline at the Y01 extra-large water gushing point of the mine was accurately found through drilling, cross-hole CT and tracer connection test. On this basis, the mine water gushing treatment technology and process were studied and implemented. The research shows that: ① In view of the characteristics of large flow and high flow rate in complex karst sunken open pit mines, a comprehensive treatment system of water gushing in karst mines is proposed and implemented, which is “discontinuous curtain closure + key channel exploration and plugging + slurry-stopping cushion to control flow and reduce speed.” According to the inhomogeneity of karst development, the idea of discontinuous curtain plugging fissure water gushing area is put forward. A slurry-stopping pad flow control device was designed for the concentrated water inflow of large-flow karst pipelines. The flow control can effectively reduce the flow velocity in the key water passage, which provides an important condition for the effective retention and deposition of grouting materials and the successful plugging of the project. ② The key hole refers to the drilling hole that directly exposes the karst water gushing pipeline or has strong connectivity with the water gushing pipeline and plays a major role in grouting and water plugging. In this paper, two key holes were successfully found for the large water inflow of Y01 karst pipeline type in the mine, both in the south of the mine. One is a short-distance borehole with a linear distance of about 50 meters from the water inflow point, which is referred to as the near hole, and the other is a long-distance borehole with a linear distance of about 150 meters from the water inflow point, which is referred to as the far hole. The simultaneous grouting process of two key holes, near hole and far hole, is adopted in the field. The near hole is mainly grouted with aggregate, and the far hole is only grouted with slurry. The near hole aggregate can not only reduce the water flow in the pipeline, but also play a better role in retaining and depositing the far hole slurry, and can be used as a plugging material to enhance the function. The far hole can ensure the length and effect of plugging due to its wide radiation range and sufficient slurry diffusion. The simultaneous grouting of near hole and far hole is an effective combination process for rapid plugging of large flow water gushing in pipeline. ③ After the implementation of the project, the Y01 super-large water gushing point with a concentrated water inflow of 71 200 m3/d in the mine was completely blocked, and the total water reduction was 84 300 m3/d (including discontinuous curtain grouting plugging), which ensured the normal and safe mining of the mine, greatly reduced the cost of pumping and drainage, and protected the surrounding environment and groundwater resources, with significant economic and social benefits. The research results can provide important theoretical technology and experience for the treatment of water inrush disaster in karst mines in China.

Abstract Background The appropriate use of obstetric blood transfusion is crucial for patients with placenta previa and prenatal anemia. This retrospective study aims to explore the correlation between prenatal anemia and blood transfusion-related parameters in this population. Methods We retrieved the medical records of consecutive participants who were diagnosed with placenta previa and underwent cesarean section in our hospital. We compared the baseline demographics and clinical characteristics of patients with and without anemia. The correlation between prenatal anemia and obstetric blood transfusion-related parameters was evaluated using multivariate regression analysis. Results A total of 749 patients were enrolled, with a mean prenatal hemoglobin level of 10.87 ± 1.37 g/dL. Among them, 54.87% (391/749) were diagnosed with anemia. The rate of obstetric blood transfusion was significantly higher in the anemia group (79.54%) compared to the normal group (44.41%). The median allogeneic red blood cell transfusion volume in the anemia group was 4.00 U (IQR 2.00–6.00), while in the normal group, it was 0.00 U (IQR 0.00–4.00). The prenatal hemoglobin levels had a non-linear relationship with intraoperative allogeneic blood transfusion rate, massive blood transfusion rate, red blood cell transfusion units, and fresh plasma transfusion volume in patients with placenta previa, with a threshold of 12 g/dL. Conclusions Our findings suggest that prenatal anemia is associated with a higher rate of blood transfusion-related parameters in women with placenta previa when the hemoglobin level is

Aimed at the new application scenario of laser, a test platform was established to study the coating material da-mage features induced by the interaction of the Ma=6 tangential air flow and the continuous laser irradiation. The laser-damaged characteristics of the coating materials in still air and Ma=6 ground-simulated airflows, as well as the corresponding interference flow structures, were presented. Compared with the laser-irradiation ablation phenomenon of the coating materials in still air, the laser-induced damage characteristics of coating materials are significantly different in hypersonic tangential airflows. Under the interaction of hypersonic airflows, the coating materials show a larger damage area when the laser power is low, while the coating materials form deeper ablation pits when the laser power is high. Due to the disturbance from the material ablation, flow patterns similar to those produced by a thermal jet or small protrusion are formed around the ablative structure of coating materials. This phenomenon, in turn, affects the ablation of coating materials, producing a strong coupling phenomenon between hypersonic flow and laser ablation. The results can provide important guidance for engineering applications.

ObjectiveTo examine the efficacy of time series gray model and exponential smoothing mode in predictions of daily fever outpatient visits, number of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) nucleic acid and antigen positive among the visits during conronavirus disease 2019 (COVID-19) epidemic for developing short-term prediction model of COVID-19 incidence. MethodsThe data on 54 836 individuals visiting fever clinics during a COVID-19 epidemic period (December 12 – 31, 2022) were collected from medical facilities in a prefecture and two districts of Yunnan province and analyzed statistically. The series gray model GM(1,1) and exponential smoothing model were fitted to the data to construct models for predicting daily number of fever clinic visits, SARS-CoV-2 nucleic acid and antigen positivity in the study region. Average relative errors between the actual and the predicted values were used to evaluate the efficacy of the prediction models. ResultsThe posterior ratio C values of the constructed time series gray model GM(1,1) were 0.50, 0.40, and 0.43 and the average relative errors were103%, 72%, and 84% in predicting the daily number of fever clinic visits, SARS-CoV-2 nucleic acid positivity, and antigen positivity. In predicting the three numbers mentioned above, the R2 values were 0.36, 0.56, and 0.53 and the average relative errors were 103%, 66% and 51%, respectively, for the constructed Holt linear trend non-seasonal exponential smoothing model. ConclusionThe efficacy of gray model is comparable to that of exponential smoothing model in predicting the number of fever outpatient visits but better than that of the latter model in predicting the number of SARS-CoV-2 nucleic acid and antigen positivity.

AbstractObjective Diabetes mellitus complicated with heart failure has high mortality and morbidity, but no reliable diagnoses and treatments are available. This study aimed to develop and verify a new model nomogram based on clinical parameters to predict diastolic cardiac dysfunction in patients with Type 2 diabetes mellitus (T2DM).Methods 3030 patients with T2DM underwent Doppler echocardiography at the First Affiliated Hospital of Shenzhen University between January 2014 and December 2021. The patients were divided into the training dataset (n = 1701) and the verification dataset (n = 1329). In this study, a predictive diastolic cardiac dysfunction nomogram is developed using multivariable logical regression analysis, which contains the candidates selected in a minor absolute shrinkage and selection operator regression model. Discrimination in the prediction model was assessed using the area under the receiver operating characteristic curve (AUC-ROC). The calibration curve was applied to evaluate the calibration of the alignment nomogram, and the clinical decision curve was used to determine the clinical practicability of the alignment map. The verification dataset was used to evaluate the prediction model’s performance.Results A multivariable model that included age, body mass index (BMI), triglyceride (TG), creatine phosphokinase isoenzyme (CK-MB), serum sodium (Na), and urinary albumin/creatinine ratio (UACR) was presented as the nomogram. We obtained the model for estimating diastolic cardiac dysfunction in patients with T2DM. The AUC-ROC of the training dataset in our model was 0.8307, with 95% CI of 0.8109–0.8505. Similar to the results obtained with the training dataset, the AUC-ROC of the verification dataset in our model was 0.8083, with 95% CI of 0.7843–0.8324, thus demonstrating robust. The function of the predictive model was as follows: Diastolic Dysfunction = −4.41303 + 0.14100*Age(year)+0.10491*BMI (kg/m2) +0.12902*TG (mmol/L) +0.03970*CK-MB (ng/mL) −0.03988*Na(mmol/L) +0.65395 * (UACR > 30 mg/g) + 1.10837 * (UACR > 300 mg/g). The calibration plot diagram of predicted probabilities against observed DCM rates indicated excellent concordance. Decision curve analysis demonstrated that the novel nomogram was clinically useful.Conclusion Diastolic cardiac dysfunction in patients with T2DM can be predicted by clinical parameters. Our prediction model may represent an effective tool for large-scale epidemiological study of diastolic cardiac dysfunction in T2DM patients and provide a reliable method for early screening of T2DM patients with cardiac complications.KEY MESSAGESThis study used clinical parameters to predict diastolic cardiac dysfunction in patients with T2DM. This study established a nomogram for predicting diastolic cardiac dysfunction by multivariate logical regression analysis. Our predictive model can be used as an effective tool for large-scale epidemiological study of diastolic cardiac dysfunction in patients with T2DM and provides a reliable method for early screening of cardiac complications in patients with T2DM.

The utilization of fast-growing, economically valuable woody plants with strong stress resistance, such as poplar and willow, to revegetate severely metal-contaminated mine tailings not only offers a productive and profitable use of abandoned polluted soil resources but also facilitates the phytoremediation of these polluted soils. This study examines the diversity and functional roles of endophytic fungi naturally colonizing the roots of an artificially established Populus yunnanensis forest and the naturally reclaimed pioneer species Coriaria sinica on an abandoned tailing dam in southwest China. Culture-independent analyses revealed that the root systems of both plant species were abundantly colonized by arbuscular mycorrhizal fungi and endophytic fungi, forming rich and diverse endophytic fungal communities predominantly represented by the genera Ilyonectria, Tetracladium, Auricularia, and unclassified members of Helotiales. However, the composition of root endophytic fungal communities differed significantly between the two plant species. Using a culture-dependent approach, a total of 192 culturable endophytic fungal strains were isolated from the roots. The dominant genera included Cadophora, Cladosporium, Cyphellophora, and Paraphoma, most of which were previously identified as dark septate endophytes (DSE). Six representative DSE strains were selected for further study, and significant cadmium tolerance and various plant growth-promoting traits were observed, including the solubilization of insoluble inorganic and organic phosphorus, indole-3-acetic acid (IAA) production, and siderophore synthesis. In greenhouse experiments, inoculating two DSE strains mitigated the inhibitory effects of metal-polluted tailing soil on the growth of P. yunnanensis. This was achieved by reducing heavy metal uptake in roots and limiting metal translocation to the above-ground tissues, thereby promoting plant growth and adaptability. Our findings suggest that as plants reclaim metal-polluted tailings, root-associated endophytic fungal communities also undergo natural succession, playing a critical role in enhancing the host plant’s tolerance to stress. Therefore, these restored root-associated fungi, particularly DSE, are essential functional components of the root systems in plants used for tailing reclamation.

Resource-based water shortages, uncoordinated irrigation, and fertilization are prevalent challenges in agricultural production. The scientific selection of appropriate water and fertilizer management methods is important for improving the utilization efficiency of agricultural resources and alleviating agricultural non-point source pollution. This study focused on wolfberry and compared the effects of four irrigation levels [full irrigation (W0, 75%–85% θf), slight water deficit (W1, 65%–75% θf), moderate water deficit (W2, 55%–65% θf), and severe water deficit (W3, 45%–55% θf)] and four nitrogen application levels [no nitrogen application (N0, 0 kg·ha−1), low nitrogen application (N1, 150 kg·ha−1), medium nitrogen application (N2, 300 kg·ha−1), and high nitrogen application (N3, 450 kg·ha−1)] on soil nitrate nitrogen (NO3−–N) transport, plant nitrogen allocation, and soil nitrous oxide (N2O) emissions during the harvest period of wolfberry. And this study used CRITIC-entropy weights-TOPSIS model to evaluate 16 water and nitrogen regulation models comprehensively. The results revealed the following: (1) The NO3−–N content of the soil decreased with increasing horizontal distance from the wolfberry. It initially decreased, then increased, and finally decreased with an increase in soil depth. The average NO3−–N content in the 0–100 cm soil layer ranged from 3.95–13.29 mg·kg−1, indicating that W0 > W1, W2, W3, and N3 > N2 > N1 > N0. (2) The soil NO3−–N accumulation ranged from 64.45–215.27 kg·ha−1 under varying water and nitrogen levels, demonstrating a decreasing trend with increasing horizontal distance. The NO3−–N accumulation at each horizontal distance increased with increasing irrigation and nitrogen application. The NO3−–N accumulation of W0N3 treatment increased by 5.55%–57.60% compared with the other treatments. (3) The total nitrogen content and nitrogen uptake in all wolfberry organs were W1 > W0 > W2 > W3, and N2 > N3 > N1 > N0. The maximum total nitrogen content and nitrogen uptake in W1N2 treatment were 3.25% and 27.82 kg·ha−1 in the roots, 3.30% and 57.19 kg·ha−1 in the stems, 3.91% and 11.88 kg·ha−1 in the leaves, and 2.42% and 63.56 kg·ha−1 in the fruits, respectively. (4) The emission flux and total emission of N2O increased with increasing irrigation and nitrogen application. The emission flux exhibited a transient peak (116.39–177.91 ug·m−2·h−1) after irrigation. The intensity of N2O emissions initially decreased and then increased with an increase in the irrigation amount. It also initially increased with increasing nitrogen application amount, then decreased, and finally increased again. The maximum emission intensity was observed under the W3N3 treatment (0.23 kg·kg−1). The N2O emission coefficients ranged from 0.17%–0.39%, in the order of W0 > W1 > W2 > W3 (except for N1) and N1 > N2 > N3. (5) Under varying water and nitrogen concentrations, N2O emission flux showed a positive linear correlation with soil pore water content and NO3−–N content and a negative linear correlation with soil temperature. The comprehensive evaluation revealed that a slight water deficit (65%–75% θf) combined with medium nitrogen application (300 kg·ha−1) decreased soil NO3−–N leaching, increased nitrogen uptake, and reduced N2O emission. These findings can serve as a reference for improving the efficiency and reducing emissions of wolfberry in the Yellow River irrigation region of Gansu Province and in similar climate zones.

Background: Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality rate that seriously threatens human health. We aimed to investigate the expression, prognostic value, and immune cell infiltration of lactic acid metabolism-related genes (LAMRGs) in HCC using bioinformatics.Methods: The HCC database (The Cancer Genome Atlas–Liver Hepatocellular Carcinoma) was downloaded from the Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) between normal and tumor groups were identified. The LAMRGs were obtained from literature and GeneCards and MSigDB databases. Lactic acid metabolism-related differentially expressed genes (LAMRDEGs) in HCC were screened from the DEGs and LAMRGs. Functional enrichment analyses of the screened LAMRDEGs were further conducted using Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and Gene Set Enrichment Analysis (GSEA). The genes were used in multivariate Cox regression and least absolute shrinkage and selection operator (LASSO) analyses to construct a prognostic model. Then, a protein-protein interaction network was constructed using STRING and CTD databases. Furthermore, the CIBERSORTx online database was used to assess the relationship between immune cell infiltration and hub genes.Results: Twenty-eight lactic acid metabolism-related differentially expressed genes (LAMRDEGs) were identified. The GO and KEGG analyses showed that the LAMRDEGs were related to the prognosis of HCC. The GSEA indicated that the LAMRDEGs were significantly enriched in tumor related pathways. In the multivariate Cox regression analysis, 14 key genes (E2F1, SERPINE1, GYS2, SPP1, PCK1, CCNB1, CYP2C9, IGFBP3, KDM8, RCAN1, ALPL, FBP1, NQO1, and LCAT) were found to be independent prognostic factors of HCC. Finally, the LASSO and Cox regression analyses showed that six key genes (SERPINE1, SPP1, CCNB1, CYP2C9, NQO1, and LCAT) were associated with HCC prognosis. Moreover, the correlation analyses revealed that the expression of the six key genes were associated with immune infiltrates of HCC.Conclusion: The LAMRDEGs can predict the prognosis and may be associated with immune cells infiltration in patients with HCC. These genes might be the promising biomarkers for the prognosis and treatment of HCC.

An effective identification method for detecting illegal goods involving raw tobacco material is crucial for tobacco monopolies to conduct surveillance. We developed Nicotiana-specific molecular markers to determine whether seized goods contain raw tobacco material. The sequence data for genes related to the nicotine metabolism pathway and genomic data from the public Solanaceae database were used to establish Nicotiana-specific molecular markers. These markers were determined by experimentally verifying 17 types of nontobacco plant material and 91 types of tobacco material belonging to 11 sections of 3 subgenera. Two reliable Nicotiana-specific markers, Ntsp027 and Ntsp151, were selected from among the 209 newly developed markers. The results indicated that the primers corresponding to these two markers can amplify the target fragments in the 91 types of Nicotiana material without amplification of any PCR products in the 17 types of non-Nicotiana material. Furthermore, utilizing the marker Ntsp151, we verified the efficacy of the loop-mediated isothermal amplification (LAMP) assay in authenticating tobacco material. The identification of 21 tea-cigarette products via the combination of GC‒MS, a Nicotiana-specific molecular marker and LAMP methods underscores the utility of Nicotiana-specific DNA markers in determining whether illegal goods contain raw tobacco material. Our results indicate an impressive accuracy rate of 100%, which is consistent with the reliability assessment, underscoring the accuracy of these markers in effectively identifying tobacco material. Our findings can significantly augment the capacity for surveillance and anticounterfeiting efforts by aiding the fight against illicit trade and ensuring the integrity of all tobacco-related products in the market.

Primary membranous nephropathy (PMN) is the most common cause for adult nephrotic syndrome. Rituximab has demonstrated promising clinical efficacy by random controlled trials and the off-label use is widely adopted in PMN. However, the standard dosage is borrowed from B cell lymphoma treatment with far more antigens and is oversaturated for PMN treatment, accompanied with additional safety risk and unnecessary medical cost. More than 15% serious adverse events were observed under standard dosage and low dose therapies were explored recently. Dose optimization by clinical trials is extremely time- and cost-consuming and can be significantly accelerated with the aid of model-informed drug development. Here, we aim to establish the first population pharmacokinetic and pharmacodynamic (PPK/PD) model for rituximab in PMN to guide its dosage optimization. Rituximab pharmacokinetic and pharmacodynamic data from 41 PMN patients in a retrospective study under a newly proposed monthly mini-dose were used to construct quantitative dose-exposure-response relationship via mechanistic target-mediated drug disposition (TMDD) model followed by regression between the reduction of anti-PLA2R titer and time after the treatment. The final model, validated by goodness-of-fit plots, visual predictive checks and bootstrap, was used to recommend the optimized dosing regimen by simulations. The model was well validated for PK/PD prediction. The systemic clearance and half-life are 0.54 L/h and 14.7 days, respectively. Simulation of a novel regimen (6 monthly doses of 100 mg) indicated the comparable ability and superior duration time of CD20+ B cell depletion compared with standard dosage, while the cumulative dosage and safety risk was significantly decreased. We established the first PPK/PD model and provide evidence to support the dosage optimization based on monthly mini-dose. Our study can also efficiently accelerate dosage optimization of novel anti-CD20 antibodies in PMN and other indications.

Purpose – The construction of cement asphalt (CA) emulsified mortar can obviously disturb the slab status after the fine adjustment. To decrease or eliminate the influence of CA mortar grouting on track slab geometry status, the effects of grouting funnel, slab pressing method, mortar expansion ratio, seepage ratio and grouting area on China Railway Track System Type (CRTS I) track slab geometry status were discussed in this paper. Design/methodology/approach – Combined with engineering practice, this paper studied the expansion law of filling layer mortar, the liquid level height of the filling funnel, the pressure plate device and the amount of exudation water and systematically analyzed the influence of filling layer mortar construction on the state of track slab. Relevant precautions and countermeasures were put forward. Findings – The results showed that the track slab floating values of four corners were different with the CA mortar grouting and the track slab corner near CA mortar grouting hole had the maximum floating values. The anti-floating effect of “7” shaped slab pressing device was more efficient than fixed-joint angle iron, and the slab floating value could be further decreased by increasing the amount of “7” shaped slab pressing devices. After CA mortar grouting, the track slab floating pattern had a close correlation with the expansion rate and water seepage rate of CA mortar over time and the expansion and water seepage rate of the mortar were faster when the temperature was high. Furthermore, the use of strip CA mortar filling under the rail bearing platform on both sides could effectively reduce the float under the track slab, and it could also save mortar consumption and reduce costs. Originality/value – This study plays an important role in controlling the floating values, CA mortar dosage and the building cost of projects by grouting CA mortar at two flanks of filling space. The research results have guiding significance for the design and construction of China's CRTS I, CRTS II and CRTS III track slab.

In this paper, we introduced the class of $ n $-quasi-$ (m, q) $-isometric operators on a Banach space. Such a class seems to be a natural generalization of $ m $-isometric operators on Banach spaces and of $ n $-quasi-$ m $-isometric operators on Hilbert spaces. We started by giving some of their elementary properties and studying the products and the power of such operators. Next, we focused on the dynamic of a $ n $-quasi-$ m $-isometry. More precisely, we proved a result by characterizing the supercyclicity of such a class.

Abstract The relationship between the Kerguelen mantle plume and the breakup of eastern Gondwana is still debated. The new Zircon SHRIMP U–Pb dating of 139.9 ± 4.6 Ma, as well as previous ages from the Zhela Formation volcanic rocks in the Tethyan Himalaya, show that the studied Zhela Formation volcanic rocks formed during the Late Jurassic-Early Cretaceous, rather than the Middle Jurassic. The calculated volume of the Comei-Bunbury igneous rocks is ~ 114,250 km3, which is compatible with the large igneous provinces and, consequently, the typical mantle plume models. The new date results, along with existing dates, show that the volcanism attributed to the Kerguelen mantle plume in the Tethyan Himalaya ranges from ca.147 Ma to ca.124 Ma, with two peaks at approximately 141 Ma and 133 Ma. This new finding, together with geochemical and palaeomagnetic data obtained from the Comei-Bunbury igneous rocks, indicate that the Kerguelen mantle plume contributed significantly to the breakup of eastern Gondwana and that eastern Gondwana first disintegrated and dispersed at ca.147 Ma, the Indian plate separated completely from the eastern Gondwana before ca.125 Ma.