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ABSTRACT Background The optimal exercise regimen for alleviating sarcopenia remains uncertain. This study aimed to investigate the efficacy of high‐intensity interval training (HIIT) over moderate‐intensity continuous training (MICT) in ameliorating sarcopenia. Methods We conducted a randomized crossover trial to evaluate plasma proteomic reactions to acute HIIT (four 4‐min high‐intensity intervals at 70% maximal capacity alternating with 4 min at 30%) versus MICT (constant 50% maximal capacity) in inactive adults. We explored the relationship between a HIIT‐specific protein relative to MICT, identified via comparative proteomic analysis, eukaryotic translation elongation factor 1 epsilon 1 (EEF1E1) and sarcopenia in a paired case–control study of elderly individuals (aged over 65). Young (3 months old) and aged (20 months old) mice were randomized to sedentary, HIIT and MICT groups (five sessions/week for 4 weeks; n = 8 for each group). Measurements included skeletal muscle index, hand grip strength, expression of atrophic markers Atrogin1 and MuRF1 and differentiation markers MyoD, myogenin and MyHC‐II via western blotting. We examined the impact of EEF1E1 siRNA and recombinant protein on D‐galactose‐induced myoblast senescence, measuring senescence‐associated β‐galactosidase and markers like p21 and p53. Results The crossover trial, including 10 sedentary adults (32 years old, IQR 31–32) demonstrated significant alterations in the abundance of 21 plasma proteins after HIIT compared with MICT. In the paired case–control study of 84 older adults (84 years old, IQR 69–81; 52% female), EEF1E1 was significantly increased in those with sarcopenia compared to those without (14.68 [95%CI, 2.02–27.34] pg/mL, p = 0.03) and was associated with skeletal muscle index (R2 = 0.51, p

Understanding the mechanical response of Q2 loess subjected to dry-wet cycles (DWCs) is the premise for the rational design of a hydraulic tunnel. Taking the Hanjiang-to-Weihe south line project in China as the research background, the microstructure evolution, strength degradation and compression characteristics of Q2 loess under different DWCs were investigated, and the fluid-solid coupling analysis of the hydraulic tunnel was carried out using the FLAC3D software. The amplification effect of tunnel surrounding soil pressure (SSP) and its influence on the long-term stability of the tunnel under different DWCs were obtained. The results showed that the pore microstructure parameters of the undisturbed and remolded loess basically tend to be stable after the number of DWCs exceeds 3. The porosity of Q2 loess is increased by 26%. The internal friction angle and cohesion of Q2 loess are decreased by 35% and 31%, respectively. The vertical strain of Q2 loess is increased by 55% after considering the DWCs. After the DWCs stabilized, the SSP ratio is increased between 10% and 25%. With the increase in buried depth of the tunnel, the SSP ratio is increased by 8%–10%. The SSP is reduced from 8% to 16% by the rise in groundwater level. As the number of DWCs increases and the burial depth of the tunnel decreases, the distribution of SSP becomes progressively more non-uniform. Based on the amplification factor and the modified compressive arch theory, the SSP distribution model of loess tunnel was proposed, which can be preliminarily applied to the design of supporting structures considering DWCs.

As a frozen dessert, ice cream is deeply loved by consumers. Not only does it offer a unique taste, but it also has great nutritional value. As healthy eating habits become more widespread, protein ice cream becomes increasingly popular among consumers. Understanding the effects of proteins on ice cream structure and quality is critical for promoting the growth of protein ice cream. This article delves into the creation of ice cream structure and the significant effect of proteins on its quality, including ice crystal recrystallization, fat partial coalescence, expansion rate, melting rate, and storage stability. It also offers a comprehensive overview of the latest research advancements in animal and plant proteins in ice cream, milk protein (whey proteins and casein) and soybean protein isolate are currently the most widely used in ice cream, and have a significant effect on improving the taste of ice cream and inhibiting the recrystallization of ice crystals. However, there is a problem of poor anti-melting effect in whey protein ice cream, and the quality of the ice cream can be improved by compounding with plant proteins. Additionally, protein as a fat substitute and natural emulsifier in ice cream becomes a new research hotspot. This review not only summarizes the current state of research in this area, but also prospects to the future application of proteins in ice cream.

In order to solve the problems of the northern goshawk optimization (NGO) algorithm, which quickly falls into local optimal, an improved northern goshawk optimization (INGO) algorithm is proposed in this paper. Firstly, during the population initialization stage, the good point set method is introduced to map to the search space, improving the population??s diversity and avoiding precociousness. In the position update stage, the osprey local exploration position update strategy and adaptive inertia weight factor are added to enhance global exploration and local development capabilities and improve the convergence speed and accuracy of the algorithm. Secondly, the Markov chain model of the hunting process of the northern goshawk, based on the INGO algorithm, is established to prove the global convergence. The effectiveness of the INGO algorithm is verified through experimental simulation and comparative analysis with six classical intelligent algorithms. The INGO algorithm??s convergence curve and Wilcoxon rank sum test analysis are carried out. Experimental results show that the INGO algorithm can effectively avoid falling into local optimality and has vital convergence accuracy and robustness. Finally, in order to further characterize the practical application capability of the INGO algorithm, the algorithm is successfully applied to engineering design problems to verify the effectiveness of the INGO algorithm in practical applications.

In the sea test range, the accurate measurement of the landing point of weapons and equipment is the key issue to assess the strike accuracy. In order to improve the accuracy measurement of the landing point of weapons, this paper studies the long baseline (TDOA) landing point target positioning technology, and analyzes the positioning accuracy and simulates the location of the landing point target based on the landing point measurement scenario. The design index of the actual test verification system in the deep sea area of the South China Sea is analyzed, and the test results prove that the system can display the position of the falling target in real time and has relatively high precision positioning results, which provides technical support for the accuracy measurement of the falling point of weapons and equipment.

The crucial role of heavy-tailed distributions in the analysis of financial and extreme value phenomena is widely acknowledged; however, there is a scarcity of probability distributions to accurately model such data. In the pursuit of analyzing financial data, researchers frequently seek out new and optimal statistical models. With a focus on this specific research domain, we present a groundbreaking model known as the new heavy-tailed exponentiated exponential distribution. The new model’s heavy-tailed behaviors are investigated through visual and mathematical methods. Estimation of the new model parameters is done through maximum likelihood estimators. Moreover, a Monte Carlo simulation study is undertaken to analyze the performance of estimators. In our study, we examine two specific data sets pertaining to the price quotations of Yamaha pianos in the United States to present the new distribution. The first set of data focuses on the prices of Yamaha upright pianos, while the second set highlights the prices of Yamaha Clavinova digital pianos. By conducting four evaluation tests, we evaluate the fitting performance of the NHTE-exponential distribution against the rival distributions.

Background: Mounting evidence underscores the importance of cell communication within the tumor microenvironment, which is pivotal in tumor proliferation, invasion, and metastasis. Exosomes play a crucial role in cell-to-cell communication. Although single-cell RNA sequencing (scRNA-seq) provides insights into individual cell transcriptional characteristics, it falls short of comprehensively capturing exosome-mediated intercellular communication. Method: We analyzed Pancreatic Ductal Adenocarcinoma (PDAC) tissues, separating supernatant and precipitate for exosome purification and single-cell nucleus suspension. We then constructed Single-nucleus RNA sequencing (snRNA-seq) and small RNA-seq libraries from these components. Our bioinformatic analysis integrated these sequences with ligand-receptor analysis and public miRNA data to map the cell communication network. Results: We established intercellular communication networks using bioinformatic analysis to track exosome miRNA effects and ligand-receptor pairs. Significantly, hsa-miR-1293 emerged as a prognostic biomarker for pancreatic cancer, linked to immune evasion, increased myeloid-derived suppressor cells, and poorer prognosis. Targeting this miRNA may enhance anti-tumor immunity and improve outcomes. Conclusion: Our study offers a novel approach to constructing intercellular communication networks using snRNA-seq and exosome-small RNA sequencing. By integrating miRNA tracing with ligand-receptor analysis, we illuminate the complex interactions in the pancreatic cancer microenvironment, highlighting the pivotal role of miRNAs and identifying potential biomarkers and therapeutic targets.

Abstract Background Thoracic epidural anesthesia (TEA) is associated with a knowledge gap regarding its mechanisms in lung protection and reduction of postoperative pulmonary complications (PPCs). Driving pressure (ΔP), an alternative indicator of alveolar strain, is closely linked to reduced PPCs with lower ΔP values. We aim to investigate whether TEA contributes to lung protection by lowering ΔP during mechanical ventilation. Methods In this prospective, randomized, patient and evaluator-blinded parallel study, adult patients scheduled for elective major upper abdominal surgery were assigned to either the TEA group with combined thoracic epidural anesthesia and general anesthesia (TEA-GA) (n = 30) or the control group with only general anesthesia (GA) (n = 30). Measurements The primary outcome was the minimum ΔP determined based on positive end-expiratory pressure (PEEP) after intubation. Secondary outcomes included the incidence of PPCs within seven days, the minimum ΔP at various time points, blood gas analysis, intensive care unit (ICU) admission rates, length of hospital stay, and 30-day mortality rate. Results The TEA group had a significantly lower minimum ΔP titrated based on PEEP compared to the control group (11.23 ± 2.19 cmH2O vs. 12.67 ± 2.70 cmH2O; P = 0.028). Multivariate linear regression analysis showed that intraoperative TEA application (compared with its absence; unstandardized beta coefficient (B) = -1.289; P = 0.008) significantly correlated with ΔP. The incidence of PPCs did not differ significantly between the two groups (8 of 30 [26.7%] vs. 12 of 30 [40%]; P = 0.273), but the incidence of atelectasis in the TEA group was significantly lower than in the control group (5 of 30 [16.7%] vs. 12 of 30 [40.7%]; P = 0.012). Multivariate logistic regression analysis indicated that ΔP was the only variable significantly associated with PPCs (Adjusted Odds Ratio [OR] = 2.190; 95% Confidence Interval [CI]: 1.300 to 3.689; P = 0.003). Conclusion Compared to GA, TEA-GA can reduce intraoperative ΔP in patients undergoing major upper abdominal surgery, especially those undergoing laparoscopic surgery. However, compared to GA combined with ΔP-guided ventilation, TEA-GA combined with ΔP-guided ventilation does not reduce the risk of PPCs. There was no significant difference in the total use of various vasoactive drugs between the two groups. Trial registration This study was registered in the Chinese Clinical Trial Registry (registration number ChiCTR2300068778 date of registration February 28, 2023).

Abstract Background Enteral nutrition for stroke patients in China presents major shortcomings. This aspect of care involves multiple components, and poor implementation of any one of them may affect the patients’ enteral nutrition. Most current studies only confirm the effectiveness of the application of single interventions and lack any scientific evaluation of the overall ensemble of enteral nutrition interventions in stroke patients. This study focuses on evaluating the overall effectiveness of a care bundles for the management of enteral nutrition in stroke patients by targeting multiple simultaneous interventions. Methods This study is to be conducted over 10 periods in the stroke patient wards of eight hospitals across China. As the trial progresses, each hospital begins by receiving the control group care and then shifts to the intervention group care. The point at which each hospital shifts care is randomised. During this time, the control group implements its usual care, while the intervention group implements an evidence-based care bundles for enteral nutrition management in stroke patients. The primary indicator in this study is feeding intolerance; indicators for the evaluation of nutritional status, gastrointestinal complications, and disease prognosis are also included. Discussion We anticipate that the care bundles developed by pooling this evidence will be manifestly more beneficial than harmful and will be worthy of replication. Hence, we chose a stepped wedge cluster randomised trial to validate the application of these interventions. This study will provide experience and reference on how to promote the clinical translation of evidence-based evidence and standardise enteral nutrition care management in stroke patients. Trial registration ChiCTR2300067930. Registered on January 31, 2023.

Abstract Recently, changes in metabolites and metabolism-related enzymes related to tumor cell proliferation, metastasis, drug resistance, and immunosuppression have become a research hotspot, and researchers have attempted to determine the clinical correlation between specific molecular lesions and metabolic phenotypes. Convincing evidence shows that metabolic reprogramming is closely related to the proliferation, invasion, metastasis, and poor prognosis of malignant tumors. Therefore, targeting metabolic reprogramming is a new direction for cancer treatment. However, how molecular alterations in tumors contribute to metabolic diversity and unique targeting dependencies remains unclear. A full understanding of the underlying mechanisms of metabolic reprogramming in cancer may lead to better identification of therapeutic targets and the development of therapeutic strategies. Evidence for the importance of PCK1, a phosphoenolpyruvate carboxykinase 1, in tumorigenesis and development is accumulating. PCK1 can regulate cell proliferation and metastasis by remodeling cell metabolism. Additionally, PCK1 has “nonclassical” nonmetabolic functions, involving the regulation of gene expression, angiogenesis, epigenetic modification, and other processes, and has an impact on cell survival, apoptosis, and other biological activities, as well as the remodeling of the tumor immune microenvironment. Herein, we provide a comprehensive overview of the functions of PCK1 under physiological and pathological conditions and suggest that PCK1 is a potential target for cancer therapy. We also propose a future exploration direction for targeting PCK1 for cancer therapy from a clinical perspective. Finally, in view of the collective data, the results of our discussion suggest the potential clinical application of targeted PCK1 therapy in combination with chemotherapy and immunotherapy for cancer treatment.

Objective: To evaluate the protective effect and possible mechanism of dandelion jujube juice on D-galactose-induced liver injury in Sprague Dawley (SD) rats. Methods: D-galactose was intraperitoneally injected into the rats at a dose of 500 mg/kg for six weeks to establish a chronic liver injury model. These rats treated with D-galactose were then randomly divided into model group and dandelion jujube juice group (treated with 10 mL/kg·d of dandelion jujube juice by intragastric administration for 28 d). The liver index was calculated, and the pathological changes in liver tissue were observed using HE staining and oil red O staining. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels in serum, malondialdehyde (MDA) content and catalase (CAT) activity in liver tissue were determined by corresponding assay kit. Western blot analysis was used to detect the protein expression, including Kelch like epichlorohydrin associated protein 1 (Keap1), nuclear factor E2 related factor 2 (Nrf2), heme oxygenase-1 (HO-1), BCL2 associated X (Bax), and B-cell lysoma-2 (Bcl-2) proteins in liver tissue. Results: Compared with the blank group, the liver index and liver lipid deposition area were increased in the model group. In addition, the model group showed a significant increase in the levels of serum ALT (P

Abstract The intestine, is responsible for food digestion, nutrient absorption, endocrine secretion, food residue excretion, and immune defense. These function performances are based on the intricate composition of intestinal epithelial cells, encompassing differentiated mature cells, rapidly proliferative cells, and intestinal stem cells. Although the characteristics of these cell types are well-documented, in-depth exploration of their representative markers and transcription factors is critical for comprehensive cell fate trajectory analysis. Here, we unveiled the feature genes in different cell types of the human and mouse gut through single-cell RNA sequencing analysis. Further, the locations of some specific transcription factors and membrane proteins were determined by immunofluorescence staining, and their role in regulating the proliferation and differentiation of intestinal epithelial cells were explored by CRISPR/Cas9 knockout. Therefore, this study not only reports new markers for various intestinal epithelial cell types but also elucidates the involvement of relevant genes in the determination of epithelial cell fate and maintenance of stem cell homeostasis, which facilitates the tracing and functional elucidation of intestinal epithelial cells.

Abstract Objectives Allergic rhinitis (AR) is a complex disorder with variable pathogenesis. Increasing evidence suggests that the LRRC8A is involved in maintaining cellular stability, regulating immune cell activation and function, and playing significant roles in inflammation. However, the involvement of LRRC8A in AR inflammation and its underlying mechanisms remain unclear. Methods LRRC8A expression in AR patients, confirmed by qRT-PCR and Western blotting, was analyzed to investigate its relationship with the clinical characteristics of AR patients. In vitro, IL-13 stimulated HNEpCs to establish a Th2 inflammation model, with subsequent LRRC8A knockout or overexpression. NOX1/NOX4 inhibitor (GKT137831) and chloride channel inhibitor (DCPIB) were utilized to investigate AR development mechanisms during LRRC8A overexpression. An OVA-induced AR model with nasal mucosa LRRC8A knockdown confirmed LRRC8A's regulatory role in AR inflammation. Results LRRC8A mRNA and protein levels were significantly elevated in AR patients, positively correlating with NADPH oxidase subunits and Th2 inflammatory markers. In vitro, IL-13 stimulation of HNEpCs resulted in upregulation of LRRC8A and increased expression of NOX1, NOX4, and p22phox, along with mitochondrial dysfunction and NF-κB pathway activation. The knockout of LRRC8A reversed these effects. In nasal mucosal epithelial cells, DCPIB and GKT137831 completely blocked mitochondrial dysfunction caused by the overexpression of LRRC8A, which led to up-regulation of NOX1, NOX4, and p22phox. In vivo, knocking down LRRC8A reduced eosinophil infiltration, downregulated the expression of NOX1, NOX4, p22phox IL-4, IL-5, and IL-13, and decreased NF-κB pathway activation. Conclusion LRRC8A drives the upregulation of NOX1, NOX4, and p22phox, leading to ROS overproduction and mitochondrial dysfunction. It also activates NF-κB, ultimately leading to nasal mucosal epithelial inflammation. LRRC8A may be a potential target for the treatment of AR.

Abstract Background Postoperative radiotherapy (PORT) is crucial for patients with thoracic locally advanced esophageal squamous cell carcinoma (LA-ESCC, pT3-4aN0-3M0) following esophagectomy. However, the appropriate radiation volume has not been well established. This study aimed to determine the optimal PORT volume for LA-ESCC patients. Methods LA-ESCC patients post-esophagectomy were randomly assigned to either the large-field irradiation (LFI, primary lesion and lymph node tumor bed plus elective nodal irradiation) group or the small-field irradiation (SFI, primary lesion and lymph node tumor bed alone) group. Stratification was based on T stage and the number of lymph node metastases. The primary endpoint was disease-free survival (DFS), while the secondary endpoints included overall survival (OS), adverse events, and patterns of initial failure. Results A total of 401 patients were randomly assigned to the intention-to-treat analysis(LFI group, n = 210; SFI group, n = 191). The median DFS of patients in the LFI group was 47.9 months and 48.1 months in the SFI group (HR = 0.87, 95%CI, 0.65 to 1.16; p = 0.32). The estimated one-year and three-year OS rates were 89.2% and 63.2% for patients in the LFI group, compared to 86.6% and 60.7% for the SFI group, respectively. The difference of OS between the two groups was not significant (HR = 0.86, 95%CI, 0.63 to 1.16; p = 0.35). Fewer patients in the LFI group experienced locoregional recurrence compared to the SFI group (12.9% vs 20.4%, p = 0.013). Additionally, locoregional recurrence-free survival of the LFI group was significantly longer than that of SFI group (HR = 0.54, 95%CI, 0.34–0.87; p = 0.01). The most common toxicity was grade 2 esophagitis, observed in 22.9% of the LFI group and 16.8% of the SFI group. Grade 3 adverse events occurred in 6.7% of the LFI group and 2.6% of the SFI group. No grade 4 or 5 toxicities were observed. Adverse events did not significantly differ between the two groups. Conclusions Postoperative radiotherapy, with the specified radiation volume shows encouraging survival outcomes that are comparable to those of neoadjuvant chemoradiotherapy in patients with thoracic LA-ESCC. Both postoperative irradiation fields were found to be feasible and safe.

Abstract Intraventricular hemorrhage (IVH) occurs in approximately 30–50% patients with spontaneous intracerebral hemorrhage (ICH), with a high 30-day mortality rate. Excess accumulation of parenchymal or ventricular blood associated with the development of acute hydrocephalus leads to poor outcomes. The prediction of shunt dependency is important to identify patients susceptible to requiring permanent shunt placement and benefit from the diversion. This retrospective analytical study aimed to establish a predictive model of shunt dependency in patients with IVH. This study included 179 patients with primary IVH with supratentorial origin or spontaneous ICH with extension into the ventricles between 2015 and 2021. Patients were grouped into “shunt required” and “shunt not required” groups. Variables, including age, sex, preexisting hypertension and diabetes, initial Glasgow Coma Scale scores, ICH location and volume, urokinase administration, modified Graeb score (mGraeb score), and bicaudate index, were analyzed. The shunt required group had significantly higher mGraeb scores (12.0 (6.5–15.0) vs. 7.0 (4.0–12.0), p = 0.001) and higher bicaudate index (0.20 (0.17–0.23) vs. 0.16 (0.13–0.18), P

Background: Osteoarthritis (OA) is the most common degenerative joint disease, with articular cartilage degeneration as primary manifestation. Intra-articular injection of exogenous liposomal adenosine in mice knee has been shown to alleviate OA progression. However, the role of CD73, the rate-limiting enzyme of extracellular adenosine synthesis, in OA is still unknown. Methods: In this work, we explored the expression changes of adenosine-related molecules via bioinformatic analysis. In addition, the expression level of these molecules was detected in OA cartilage. We also conducted a case–control study to investigate the genetic variants of selected SNPs on genes encoded adenosine-related molecules. To further explore the function of CD73 in chondrocytes, we knocked down the expression of CD73 with small interfering RNA and overexpressed CD73 with the use of lentivirus, and detected the expression of markers for anabolism and catabolism in mouse primary chondrocytes with or without IL-1β treatment. We also conducted in vivo experiments to explore the role of CD73 in OA. Results: We found that the expression of CD73 was upregulated in OA, and the variants of SNP rs2229523 (base A to G) on NT5E (the encoding gene of CD73) were significantly higher in OA population, which might cause the amino acid encoded by this SNP change from threonine to alanine. The original helix structure in the adjacent region of amino acid encoded by SNP rs2229523 would be deconstructed after its mutation. Furthermore, we found that CD73 promoting the expression of Col2a1 but suppressing the expression of Mmp13 expression in mouse primary chondrocytes under inflammatory environment. The overexpression of CD73 attenuated bone remodeling and alleviated cartilage degeneration in DMM mice. Moreover, the physical activities were also improved in DMM mice overexpressed CD73 with the use of adeno-associated virus. Conclusions: The variants of SNP rs2229523 (base A to G) on NT5E were significantly higher in OA population, and CD73 could alleviate OA by maintaining anabolism and suppressing catabolism of chondrocytes extracellular matrix. The Translational Potential of this Article: This work showed that CD73 might be one of the biological therapeutic targets of OA, which would provide a reference for future novel treatment strategy of OA.

Unraveling the mechanisms of community assembly in different ecosystems is a central ecological issue. Soil depth, which is the predominant characteristic of karst regions, possibly affects community assembly from the regional species pool into local communities. However, the influence of karst soil depth on plant community assembly mechanisms remains unclear. We investigated the community functional traits of karst shrublands by calculating community-weighted mean (CWM) traits for leaf dry matter content (LDMC), specific leaf area (SLA), leaf carbon content (LCC), leaf nitrogen content (LNC), leaf phosphorus content (LPC), and leaf potassium content (LKC). To explore the assembly pattern of karst shrublands, we assessed the extent of trait divergence or convergence using trait-based null model analyses. Additionally, we examined how community functional traits and assembly patterns changed with varying local soil depths. Karst shrublands were found to exhibit CWM trait combinations characterized by high LDMC and LCC, as well as low SLA, LNC, LPC, and LKC to adapting to harsh environments. Furthermore, the CWM of LDMC, LCC, LCC/LNC ratio, and LCC/LPC ratio significantly decreased, while SLA and LNC in karst shrublands significantly increased along soil depth gradients. This indicates that, as soil conditions improved, the karst shrubland community shifted from a conservative survival strategy to a resource-acquisition strategy. Overall, the convergence pattern prevailed in the karst shrubland communities for most leaf traits. As the karst soil depth increased, the traits of the shrubland communities shifted from a convergence pattern toward a neutral assembly. These results demonstrate for the first time that species were primarily assembled into karst shrubland communities through environmental filtering, while the importance of environmental filtering in the assembly process gradually weakened with increasing soil depth. Our study underlines the necessity of increasing soil quantity to allow more species from the regional species pool to enter local shrublands, thereby promoting karst community succession.

Inspired by the skin structure, an asymmetric wettability tri-layer nanofiber membrane (TNM) consisting of hydrophilic inner layer loaded with lidocaine hydrochloride (LID), hydrophobic middle layer with ciprofloxacin (CIP) and hydrophobic outer layer has been created. The hydrophobic outer layer endows the TNM with waterproof function and anti-adhesion from contaminants. The hydrophobic middle layer with CIP preserves long-term inhibition of bacteria growth and the hydrophilic inner layer with LID possesses optimal water-absorbing capacity and air permeability. The TNM dramatically elevates the water contact angles from 10° (inner layer) to 120° (outer layer), indicating an asymmetric wettability, which could directionally transport wound exudate within the materials and meanwhile maintain a comfortable and moist environment to promote wound healing. Furthermore, the sequential release of LID and CIP could relieve pain rapidly and achieve antibacterial effect in the long run, respectively. In addition, the TNM shows superior biocompatibility towards L929 ​cells. The in vivo results show the TNM could prevent infection, accelerate epithelial regeneration and significantly accelerate wound healing. This study indicates the developed TNM with asymmetrical wettability and synergetic drug release shows great potential as a wound dressing in clinical application.

Abstract Especially, the processing and utilization of biomass-based material is closely related to the vessel, e.g. the flow of vapour and additive. It is conventional that vessels in most plants can influence on water and nutrients transport between adjacent cells, which could just infer to be important in the wood-based panel industries. In this work, a complete characterization of vessels and pits is presented for three conventional biomasses in wood-based panel: poplar (Populus deltoides) (P), moso bamboo (Phyllostachys edulis) (B), and the fruit shell of oil camellia (Camellia Oleifera) (FS_OC). Every material is analyzed by combining several techniques including: light microscopy, scanning electron microscopy and surveying calculations from resin casting. The results show that among the three biomass materials, B has a significantly larger vessel width (164.8 ± 6.0 μm for B, 2.2 ± 6.2 μm for P, 10.0 ± 0.8 μm for FS_OC) and smaller inclination angle of the perforation plates (6.8° for B, 44.7° for P), which is more conductive to improving moisture transfer between the vessels. The vessel length of P varies widely from 676.8 μm to 1025.2 μm, which is related to its seasonal growth. By resin casting analysis, more differences in the morphology and distribution of pits in the vessel walls were observed between the three species. Such as, For B, there are numerous pits between vessel cells, while very few to none between vessel and parenchyma cells or fiber. In addition to pits, B and FS_OC also have spiral thickening structures on their vessel walls. The pit membrane is an elliptical shape in P, while slit-like shape in FS_OC and a combination of both elliptical and slit-like shape in bamboo. The unique microstructural characteristics of vessels is related to the individual plant growth traits, which is the basis for biomass-based material processing and utilization.

Soil moisture， as a key hydrological variable connecting the surface and atmospheric water and heat exchange， affects the land-air water and heat exchange and carbon cycle process.However， due to the difficulty in monitoring soil moisture in alpine mountain areas， there are some difficulties in related research.The study of time stability can reduce the difficulty of soil moisture acquisition by selecting representative points.In this study， the slope of Shangzhangfanggou grassland in Shiyang River basin of Qilian Mountain was selected to set up a high-density and high-time resolution soil moisture monitoring network to explore the temporal and spatial variation and temporal stability of soil moisture on the slope scale in alpine mountainous areas.The research results show that： （1） The surface soil moisture （10 cm， 15.90%） is significantly higher than that in the deep layer （50 cm， 11.78%）， and its temporal variability （CvT=19.46%） is also stronger than that in the deep layer （CvT=10.67%）， but its spatial variability （CvS=20.05%） is weaker than that in the deep layer （CvS=27.06%）.（2） The time stability Index of Temporal Stability （0.24） is stronger than that of the deep layer （0.34）， and the surface layer and the deep layer can represent the surface soil moisture of the slope through 3 or 5 soil moisture monitoring points respectively （R2> 0.90）.（3） Slope position and soil hydrological properties have obvious influence on time stability， and the time stability point is more likely to appear at the position with larger bulk density and smaller shape parameter n under the slope.The research results are helpful to better understand the temporal and spatial variation law， temporal stability characteristics and control function of soil moisture on slope in alpine mountain areas.

Abstract The contribution of the soil microbes to agroecosystem multifunctionality under global change remains poorly understood. Here, based on data from a field experiment involving elevated carbon dioxide (CO2) and warming in a rice-wheat agroecosystem, we found that soil microbes influence the impact of climate change on agroecosystem functions. The stability of food production during the rice season increased under elevated CO2 but decreased under warming, with no significant changes in the wheat season. The interactive influences of elevated CO2 and warming on agroecosystem multifunctionality were found to be minimal. The abundance of soil fungi and nematode was associated with agroecosystem stability during the rice and wheat seasons, respectively. Soil archaeal diversity and bacterial abundance were linked to agroecosystem multifunctionality in the rice and wheat seasons, respectively. Our work proves the positive effects of soil microbes on agroecosystem functions and highlights the implications of maintaining microbial diversity for agroecosystem health under climate change.

Uncertainties on results of reactor physics calculations basically originate from uncertainties of solvers, modeling parameters and nuclear data. The uncertainty quantification (UQ) of import core parameters is critical for the safety and reliability of the innovative nuclear reactor designs. In this paper, the UQ of the keff due to the neutron cross section data and the manufacturing tolerance of modeling parameters for a small prismatic high temperature gas-cooled reactor (HTGR) was reported. The stochastic sampling (SS) method, the sensitivity analysis (SA) method and the polynomial chaos expansion (PCE) method have been adopted during the UQ process. Firstly, the sensitivity analysis of keff to nuclear data was performed and uncertainties were calculated with sensitivity coefficients and covariance matrix of cross sections. The numerical results show that the keff uncertainty due to the neutron cross section data is about 511 pcm, among which 311 pcm are introduced by the neutron cross sections of the graphite and 28Si, the considerable fraction of contribution compared to the conventional 235U and 238U. In addition, the SS method and PCE method were used to assess keff uncertainties owing to 25 modeling parameters, including important geometry dimensions and material compositions. A large number of input parameters were sampled and physical calculations were repeatedly conducted for each set of sampled parameters. In the PCE analysis, Legendre basis was used to construct polynomials on the assumption that all modeling parameters followed a uniform distribution and the linear regression method was adopted to solve for the coefficients. The analysis results indicate that the control of the uranium loading is the most critical manufacturing requirement. Although the uncertainties of the sizes of TRISO particles are large due to the manufacturing capacity, as long as the total loading of uranium is chosen as an individual control parameter and decoupled from other modeling parameters, keff uncertainty introduced by 25 modeling parameters can be reduced from about 1 950 pcm to about 420 pcm, among which the thickness of carbon layers of TRISO particles, the total loading and the enrichment of uranium have the most significant contributions. As far as the UQ analysis methods are concerned, the PCE and the SA methods show better efficiency than the SS method, and they can produce the total uncertainty and the individual uncertainty due to each parameter simultaneously. In addition, the PCE method gives a surrogate model at the same time to predict the keff for different modeling parameters without resolving to the time-consuming design calculations.

Protein peroxidation during the storage and processing of aquatic products has a great impact on the nutritional value, sensory quality, textural properties and protein functional properties of aquatic products. Natural spice extracts can not only impart flavor to aquatic products, but also show good antioxidant properties in the processing and storage of aquatic products. In order to provide theoretical support for expanding the application of spice extracts and for optimizing the processing of aquatic products, this paper elucidates the molecular mechanism of protein oxidation, the major components of spice extracts and their mechanism of action in delaying protein peroxidation, and summarizes the application of spice extracts in reducing protein oxidation in aquatic products.

Abstract Deep understanding of sugar metabolite-protein interactions should provide implications on sugar metabolic reprogramming in human physiopathology. Although tremendous efforts have been made for determining individual event, global profiling of such interactome remains challenging. Here we describe thermal proteome profiling of glycolytic metabolite fructose-1,6-bisphosphate (FBP)-interacting proteins. Our results reveal a chemical signaling role of FBP which acts as a phosphate donor to activate phosphoglycerate mutase 1 (PGAM1) and contribute an intrapathway feedback for glycolysis and cell proliferation. At molecular level, FBP donates either C1-O-phosphate or C6-O-phosphate to the catalytic histidine of PGAM1 to form 3-phosphate histidine (3-pHis) modification. Importantly, structure-activity relationship studies facilitate the discovery of PGAM1 orthostatic inhibitors which can potentially restrain cancer cell proliferation. Collectively we have profiled a spectrum of FBP interactome, and discovered a unique covalent signaling function of FBP that supports Warburg effect via histidine phosphorylation which inspires the development of pharmacological tools targeting sugar metabolism.

Abstract Simultaneous manipulation of multiple degrees of freedom of light lies at the heart of photonics. Nonlinear wavefront shaping offers an exceptional way to achieve this goal by converting incident light into beams of new frequencies with spatially varied phase, amplitude, and angular momenta. Nevertheless, the reconfigurable control over structured light fields for advanced multimode nonlinear photonics remains a grand challenge. Here, we propose the concept of nonlinear geometric phase in an emerging ferroelectric nematic fluid, of which the second-order nonlinear susceptibility carries spin-dependent nonlinearity phase. A case study with photopatterned q-plates demonstrates the generation of second-harmonic optical vortices with spin-locked topological charges by using cascaded linear and nonlinear optical spin-orbit interactions. Furthermore, we present the dynamic tunability of second-harmonic structured light through temperature, electric field, and twisted elastic force. The proposed strategy opens new avenues for reconfigurable nonlinear photonics, with potential applications in optical communications, quantum computing, high-resolution imaging, etc.

Abstract Background Bidirectional crosstalk between HER2 and estrogen receptor (ER) pathways may influence outcomes and the efficacy of endocrine therapy (ET). Low HER2 expression levels (HER2-low) have emerged as a predictive biomarker in patients with breast cancer (BC). Methods PALLAS is an open, international, phase 3 study evaluating the addition of palbociclib for 2 years to adjuvant ET in patients with stage II-III ER-positive/HER2-negative BC. To assess the impact of HER2 expression on patient outcomes in the phase III PALLAS trial, we analyzed (1) the association between rate of HER2-low with demographic and clinicopathological parameters, (2) the prognostic value of HER2-low status on invasive disease-free survival (iDFS), distant relapse-free survival (DRFS), and overall survival (OS) and (3) HER2 expression’s value as a predictive biomarker of response to palbociclib. HER2-low was defined as HER2 immunohistochemistry (IHC) 1 + or IHC 2 + with negative in situ hybridization (ISH). All pathologic evaluation was performed locally. Prognostic and predictive power of HER2 were assessed with Cox models. Results From the original PALLAS intention-to-treat population (N = 5753), 5304 patients (92.2%) were included in this analysis. Among these, 2254 patients (42.5%) were classified as having HER2 IHC 0 (HER2-0), and 3050 (57.5%) as having HER2-low disease (1838 with IHC 1 + and 1212 with IHC 2 +). Median follow-up was 59.8 months. HER2-low prevalence varied significantly across 21 participating countries (range 16.7% to 75.6%; p

Abstract This study aims to understand the repercussions of the COVID-19 pandemic on hospitalized patients with peripheral arterial disease (PAD) in China, who did not contract SARS-CoV-2. We conducted a multicenter cross-sectional analysis comparing the characteristics and outcomes of hospitalized PAD patients across two distinct periods: Pre-pandemic (P1, from January 2018 to December 2019) and during the pandemic (P2, from January 2020 to December 2021). During P1, 762 hospitalized patients were treated, with an average age of 72.3 years, while 478 patients were treated in P2, with an average age of 65.1 years. Notably, hospitalized patients admitted during the pandemic (P2) exhibited a significantly higher incidence of chronic limb-threatening ischemia (CLTI, 70% vs 54%), diabetic foot infection (47% vs 29%), and infra-popliteal lesions (28% vs 22%). Furthermore, these patients demonstrated a marked deterioration in their Rutherford category and an increased mean score in the Wound, Ischemia, and foot Infection classification system (WIfI). Treatment during the pandemic emerged as a predictor of reduced procedural success and increased major adverse limb events. Factors such as the presence of diabetic foot infection, renal impairment, and deteriorating WIfI scores were identified as independent risk indicators for major adverse limb events. Our results demonstrate that intensive care was provided to severe cases of PAD even during the challenging circumstances of the COVID-19 pandemic. Despite the unprecedented pressures on healthcare systems, patients with severe PAD, particularly those with CLTI, continued to receive necessary in-patient care. The findings underscore the importance of timely medical interventions and extended follow-up for patients exhibiting high-risk factors.

The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model users' learning records as a single time-granularity sequence and ignore the collaboration between different time-granularity sessions when recommending courses. In addition, most course recommendation models tend to use the deep network, which weakens the memory ability of the model. Few methods simultaneously consider long and short-term interests and individual course interests in the latest session, which results in a decline in model performance. To resolve these problems, we design an innovative personalized course recommendation model that Integrating Multi-granularity Sessions and Multi-type Interests (IMSMI), which converts user-course interaction sequences as multi-granularity sessions and uses different types of attention mechanisms to capture multi-type interests. Meanwhile, we introduce the residual connections to further strengthen the memory capability of IMSMI. Experimental results using the XuetangX dataset available to the public demonstrate that IMSMI significantly surpasses other competing models on evaluation metrics. Compared to the next best model, Recall@3 is increased by 20.50%, and MRR@3 is increased by 18.07%.

Abstract Background This study aims to assess the associations of admission systolic blood pressure (SBP) level with spontaneous reperfusion (SR) and long-term prognosis in ST-elevation myocardial infarction (STEMI) patients. Methods Data from 3809 STEMI patients who underwent primary percutaneous coronary intervention within 24 h, as recorded in the Chinese STEMI PPCI Registry (NCT04996901), were analyzed. The primary endpoint was SR, defined as thrombolysis in myocardial infarction grade 2–3 flow of IRA according to emergency angiography. The second endpoint was 2-year all-cause mortality. The association between admission BP and outcomes was evaluated using Logistic regression or Cox proportional hazards models with restricted cubic splines, adjusting for clinical characteristics. Results Admission SBP rather than diastolic BP was associated with SR after adjustment. Notably, this relationship exhibits a nonlinear pattern. Below 120mmHg, There existed a significant positive correlation between admission SBP and the incidence of SR (adjusted OR per 10-mmHg decrease for SBP ≤ 120 mm Hg: 0.800; 95% CI: 0.706–0.907; p120 mm Hg: 1.019; 95% CI: 0.958–1.084, p = 0.552). In the analysis of the endpoint event of mortality, patients admitted with SBP ranging from 121 to 150 mmHg exhibited the lowest mortality compared with those SBP ≤ 120mmHg (adjusted HR: 0.653; 95% CI: 0.495–0.862; p = 0.003). In addition, subgroups analysis with Killip class I-II showed SBP ≤ 120mmHg was still associated with increased risk of mortality. Conclusion The present study revealed admission SBP above 120 mmHg was associated with higher SR,30-d and 2-y survival rate in STEMI patients. The admission SBP could be a marker to provide clinical assessment and treatment. Trial registration ClinicalTrials.gov (NCT04996901), 07/27/2021.

Abstract Background Bone metastasis (BM) occurs when colon cancer cells disseminate from the primary tumor site to the skeletal system via the bloodstream or lymphatic system. The emergence of such bone metastases typically heralds a significantly poor prognosis for the patient. This study's primary aim is to develop a machine learning model to identify patients at elevated risk of bone metastasis among those with right-sided colon cancer undergoing complete mesocolonectomy (CME). Patients and methods The study cohort comprised 1,151 individuals diagnosed with right-sided colon cancer, with a subset of 73 patients presenting with bone metastases originating from the colon. We used univariate and multivariate regression analyses as well as four machine learning algorithms to screen variables for 38 characteristic variables such as patient demographic characteristics and surgical information. The study employed four distinct machine learning algorithms, namely, extreme gradient boosting (XGBoost), random forest (RF), support vector machine (SVM), and k-nearest neighbor algorithm (KNN), to develop the predictive model. Additionally, the model was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA), while Shapley additive explanation (SHAP) was utilized to visualize and analyze the model. Results The XGBoost algorithm performed the best performance among the four prediction models. In the training set, the XGBoost algorithm had an area under curve (AUC) value of 0.973 (0.953–0.994), an accuracy of 0.925 (0.913–0.936), a sensitivity of 0.921 (0.902–0.940), and a specificity of 0.908 (0.894–0.922). In the validation set, the XGBoost algorithm had an AUC value of 0.922 (0.833–0.995), an accuracy of 0.908 (0.889–0.926), a sensitivity of 0.924 (0.873–0.975), and a specificity of 0.883 (0.810–0.956). Furthermore, the AUC value of 0.83 for the external validation set suggests that the XGBoost prediction model possesses strong extrapolation capabilities. The results of SHAP analysis identified alkaline phosphatase (ALP) levels, tumor size, invasion depth, lymph node metastasis, lung metastasis, and postoperative neutrophil-to-lymphocyte ratio (NLR) levels as significant risk factors for BM from right-sided colon cancer subsequent to CME. Conclusion The prediction model for BM from right-sided colon cancer developed using the XGBoost machine learning algorithm in this study is both highly precise and clinically valuable.

Abstract The increasing mortality rate of pancreatic cancer globally necessitates the urgent identification for novel therapeutic targets. This study investigated the expression, functions, and mechanistic insight of G protein inhibitory subunit 3 (Gαi3) in pancreatic cancer. Bioinformatics analyses reveal that Gαi3 is overexpressed in human pancreatic cancer, correlating with poor prognosis, higher tumor grade, and advanced classification. Elevated Gαi3 levels are also confirmed in human pancreatic cancer tissues and primary/immortalized cancer cells. Gαi3 shRNA or knockout (KO) significantly reduced cell viability, proliferation, cell cycle progression, and mobility in primary/immortalized pancreatic cancer cells. Conversely, Gαi3 overexpression enhanced pancreatic cancer cell growth. RNA-sequencing and bioinformatics analyses of Gαi3-depleted cells indicated Gαi3’s role in modulating the Akt-mTOR and PKA-Hippo-YAP pathways. Akt-S6 phosphorylation was decreased in Gαi3-depleted cells, but was increased with Gαi3 overexpression. Additionally, Gαi3 depletion elevated PKA activity and activated the Hippo pathway kinase LATS1/2, leading to YAP/TAZ inactivation, while Gαi3 overexpression exerted the opposite effects. There is an increased binding between Gαi3 promoter and the transcription factor TCF7L2 in pancreatic cancer tissues and cells. Gαi3 expression was significantly decreased following TCF7L2 silencing, but increased with TCF7L2 overexpression. In vivo, intratumoral injection of Gαi3 shRNA-expressing adeno-associated virus significantly inhibited subcutaneous pancreatic cancer xenografts growth in nude mice. A significant growth reduction was also observed in xenografts from Gαi3 knockout pancreatic cancer cells. Akt-mTOR inactivation and increased PKA activity coupled with YAP/TAZ inactivation were also detected in xenograft tumors upon Gαi3 depletion. Furthermore, bioinformatic analysis and multiplex immunohistochemistry (mIHC) staining on pancreatic cancer tissue microarrays showed a reduced proportion of M1-type macrophages and an increase in PD-L1 positive cells in Gαi3-high pancreatic cancer tissues. Collectively, these findings highlight Gαi3’s critical role in promoting pancreatic cancer cell growth, potentially through the modulation of the Akt-mTOR and PKA-Hippo-YAP pathways and its influence on the immune landscape.

Abstract Traumatic dental injuries (TDIs) of teeth occur frequently in children and adolescents. TDIs that impact the periodontal tissues and alveolar tissue can be classified into concussion, subluxation, extrusive luxation, intrusive luxation, lateral luxation, and avulsion. In these TDIs, management of injured soft tissue, mainly periodontal ligament, and dental pulp, is crucial in maintaining the function and longevity of the injured teeth. Factors that need to be considered for management in laxation injuries include the maturation stage of the traumatic teeth, mobility, direction of displacement, distance of displacement, and whether there are alveolar fractures. In avulsion, the maturation stage of the permanent tooth, the out-socket time, storage media/condition of the avulsed tooth, and management of the PDL should also be considered. Especially, in this review, we have subdivided the immature tooth into the adolescent tooth (Nolla stage 9) and the very young tooth (Nolla stage 8 and below). This consensus paper aimed to discuss the impacts of those factors on the trauma management and prognosis of TDI to provide a streamlined guide for clinicians from clinical evaluation, diagnostic process, management plan decision, follow-up, and orthodontic treatment for tooth luxation and avulsion injuries.

Abstract Contemporary large-scale and systematic agricultural operations demand the collaborative efforts of multiple agricultural machines with distinct functionalities. However, the failure of a single agricultural machine during collaborative operations jeopardizes the entire undertaking. To address this challenge, this paper proposes a multi-machine collaborative dynamic job allocation method based on the improved ant colony algorithm. Initially, the improved ant colony algorithm is employed to determine the optimal solution for harvester scheduling. This solution is then fed into the data conversion algorithm to acquire the necessary unloading point information for transport vehicle scheduling. Subsequently, the improved ant colony algorithm is once again utilized to optimize the transport vehicle scheduling. In cases of agricultural machinery failure or changes in the operating environment, two distinct methods are employed based on the situation. The first involves double-layer rescheduling of both harvester and transport vehicles, while the second employs single-layer rescheduling exclusively for the transport vehicles, yielding the respective rescheduling results. The outcomes demonstrate that the proposed solution method effectively identifies the current optimal scheduling plan for both the harvester and transport vehicle in the event of malfunctions. Moreover, under the premise that the unproductive waiting time of the harvester is reduced to zero, and the number of transport vehicles is minimized, it achieves the minimization of operating time cost and transportation cost. This method exhibits significant potential for seamless integration into the practical application of unmanned farms, providing a foundation for addressing scheduling and management challenges in multi-agricultural machinery collaborative operations within complex farmland operating environments.

Abstract Atomic Force Microscopy (AFM) is a widely employed tool for micro- and nanoscale topographic imaging. However, conventional AFM scanning struggles to reconstruct complex 3D micro- and nanostructures precisely due to limitations such as incomplete sample topography capturing and tip-sample convolution artifacts. Here, we propose a multi-view neural-network-based framework with AFM, named MVN-AFM, which accurately reconstructs surface models of intricate micro- and nanostructures. Unlike previous 3D-AFM approaches, MVN-AFM does not depend on any specially shaped probes or costly modifications to the AFM system. To achieve this, MVN-AFM employs an iterative method to align multi-view data and eliminate AFM artifacts simultaneously. Furthermore, we apply the neural implicit surface reconstruction technique in nanotechnology and achieve improved results. Additional extensive experiments show that MVN-AFM effectively eliminates artifacts present in raw AFM images and reconstructs various micro- and nanostructures, including complex geometrical microstructures printed via two-photon lithography and nanoparticles such as poly(methyl methacrylate) (PMMA) nanospheres and zeolitic imidazolate framework-67 (ZIF-67) nanocrystals. This work presents a cost-effective tool for micro- and nanoscale 3D analysis.

Abstract Vertical field effect transistor (VFET), in which the semiconductor is sandwiched between source/drain electrodes and the channel length is simply determined by the semiconductor thickness, has demonstrated promising potential for short channel devices. However, despite extensive efforts over the past decade, scalable methods to fabricate ultra-short channel VFETs remain challenging. Here, we demonstrate a layer-by-layer transfer process of large-scale indium gallium zinc oxide (IGZO) semiconductor arrays and metal electrodes, and realize large-scale VFETs with ultra-short channel length and high device performance. Within this process, the oxide semiconductor could be pre-deposited on a sacrificial wafer, and then physically released and sandwiched between metals, maintaining the intrinsic properties of ultra-scaled vertical channel. Based on this lamination process, we realize 2 inch-scale VFETs with channel length down to 4 nm, on-current over 800 A/cm2, and highest on-off ratio up to 2 × 105, which is over two orders of magnitude higher compared to control samples without laminating process. Our study not only represents the optimization of VFETs performance and scalability at the same time, but also offers a method of transfer large-scale oxide arrays, providing interesting implication for ultra-thin vertical devices.

Abstract Emergent superconductivity at the LaAlO3/KTaO3 interfaces exhibits a mysterious dependence on the KTaO3 crystallographic orientations. Here by soft X-ray angle-resolved photoemission spectroscopy, we directly resolve the electronic structure of the LaAlO3/KTaO3 interfacial superconductors and the non-superconducting counterpart. We find that the mobile electrons that contribute to the interfacial superconductivity show strong k ⊥ dispersion. Comparing the superconducting and non-superconducting interfaces, the quasi-three-dimensional electron gas with over 5.5 nm spatial distribution ubiquitously exists and shows similar orbital occupations. The signature of electron-phonon coupling is observed and intriguingly dependent on the interfacial orientations. Remarkably, the stronger electron-phonon coupling signature correlates with the higher superconducting transition temperature. Our observations help scrutinize the theories on the orientation-dependent superconductivity and offer a plausible and straightforward explanation. The interfacial orientation effect that can modify the electron-phonon coupling strength over several nanometers sheds light on the applications of oxide interfaces in general.

To explore the influence of slightly acidic electrolyzed water (SAEW) with different pH and available chlorine contents (ACC) on the germination of tartary buckwheat (Fagopyrum tataricum), the germination rate was taken as the index, and the germination process of tartary buckwheat sprouts with SAEW was optimized by single factor and response surface experiments. Moreover, to obtain good quality selenium-enriched tartary buckwheat sprouts, the effects of different Na2SeO3 concentrations on tartary buckwheat were studied on the basis of SAEW germination, with the total selenium content and germination rate as indexes. The optimum technological parameters were determined as follows: soaking time 2.3 h, pH6.5, germination temperature 21 ℃ and germination time 108 h. Under these conditions, the germination rate was 84.96%, which was close to the predicted value of the response surface group (85.36%), being 14.3% and 11.71% higher than those of distilled water and tap water groups, respectively. The optimal concentration of Na2SeO3 was 60 mg/L, under which the total selenium content of tartary buckwheat sprouts was 15.5 mg/L, and the germination rate was 85.63%, which were both higher than the predicted and actual values of response surface group. This study provided a theoretical and scientific basis for the development of SAEW and selenium-enriched treatment of tartary buckwheat sprouts.