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Single-turn coil (STC) is a destructive pulse magnet aiming at a 100–300 T ultra-high magnetic field. A transient discharge circuit model considering the coupling of electromagnetic diffusion and conductor deformation is proposed, and the transient coil impedance characteristics are investigated. The results show that the coil resistance first decreases and then increases due to electromagnetic diffusion and temperature rise, respectively, while the coil inductance always increases because of the conductor's outward motion. By comparison, the simulation results are consistent with the experimental data, and the correctness of the model is validated. [ABSTRACT FROM AUTHOR]

Single-turn coil (STC) is a destructive pulse magnet aiming at a 100–300 T ultra-high magnetic field. A thermal–electrical coupling model, in which the solid–liquid phase transition process is considered, is proposed. The effects of solid–liquid phase transition on pressure, temperature, and electrical conductivity are investigated. The results show that the compressed and stretched regions coexist simultaneously, and the distribution of both regions changes with time during discharging. Moreover, the region with the highest current density is inside the conductor, since the phase transition reduces the electrical conductivity of the region near the inner surface of STCs. By comparison, the simulation results are highly consistent with the measured data, and the necessity of considering the phase transition process is validated. The results obtained in this work are helpful for understanding the thermodynamic process of STCs during discharge. [ABSTRACT FROM AUTHOR]

Gastric cancer (GC) is a common malignant tumor worldwide, characterized by complex biological processes. The distribution of various cell types and gene expression profiles in the GC microenvironment remains unclear. This study uses single-cell RNA sequencing to explore gene expression patterns and identify differentially expressed genes in GC samples, offering new insights into cellular diversity and potential molecular mechanisms. We conducted temporal and clustering analyses with single-cell sequencing, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to clarify their functions. Using machine learning, we identified relevant genes to create highly accurate prediction models. Additionally, ssGSEA analysis provided detailed insights into the immunosuppressive tumor microenvironment, revealing complex gene expression interactions and diverse immune infiltrates in cancer. Correlation analysis highlighted TIMP1 as having significant prognostic value across different immune cell subtypes. Single-cell RNA sequencing revealed the cellular landscape and gene expression profiles of the GC microenvironment, offering crucial data on how cell heterogeneity is regulated in relation to the tumor microenvironment. Moreover, new insights into the expression levels of AGT, INHBA, and TIMP1 showed distinct sex-biased gene functions within the tumor microenvironment. These findings enhance our understanding of the molecular mechanisms associated with gastric cancer development and may lay the groundwork for identifying novel therapeutic targets and diagnostic strategies. [ABSTRACT FROM AUTHOR]

Background: The response of hepatocellular carcinoma (HCC) to transarterial chemoembolization (TACE) treatment and its underlying mechanisms remain elusive. This study investigates the role of enzymes involved in fatty acid activation, specifically Acyl-CoA synthetase long chain 4 (ACSL4), in HCC patients treated with postoperative adjuvant TACE (PA-TACE) and in nutrient-deprived HCC cells. Methods: We examined the expression of ACSL4 and its family members in HCC clinical samples and cell lines. The clinical significance of ACSL4, particularly regarding the prognosis of patients treated with PA-TACE, was assessed using two independent HCC cohorts. We further explored the role of ACSL4 in glucose starvation-induced cell death in HCC cells and xenograft mouse models. Results: Among the family members, ACSL4 is the most up-regulated enzyme, associated with poor survival in HCC patients, particularly in post-recurrent TACE-treated patients in a Singapore cohort. ACSL4 is essential for HCC cell survival in response to glucose starvation, rather than to hypoxia or to the combination of hypoxia with doxorubicin or cisplatin. ACSL4-mediated arachidonic acid (AA) metabolism supports mitochondrial β-oxidation and energy production. CCAAT/enhancer binding protein α (CEBPA) transcriptionally regulates ACSL4 by binding 3 motifs (-623 to -613, -1197 to -1187 and -1745 to -1735) of ACSL4 upstream promoter region, enhancing its pro-survival effects. Furthermore, canagliflozin (Cana), a clinical-approved drug for type 2 diabetes, mimics glucose starvation and inhibits the growth of ACSL4-low xenograft tumors. Moreover, high ACSL4 or CEBPA expressions correlate with increased recurrence susceptibility after PA-TACE in the China-Guangxi HCC cohort. Conclusions: The CEBPA-ACSL4 pathway is critical in protecting HCC cells from glucose starvation-induced cell death, suggesting that ACSL4 and CEBPA could serve as valuable prognostic indicators and potential therapeutic targets in the context of PA-TACE treatment for HCC. TACE is the first-line treatment for intermediate-stage HCC patients with unresectable tumor and a common postoperative adjuvant (PA) treatment. The present study found that HCC patients with the presence of CEBPA-ACSL4 expression in tumor are more resistant to TACE, susceptible for PA-TACE relapse and poorer survival. Mechanically, ACSL4 is essential for fatty acid activation particularly conversion of arachidonic acid (AA) into AA-CoA, which promotes lipid anabolism in nutrition-replete condition and lipid catabolism in glucose-deplete condition. As a result, ACSL4-high HCC cells, in response to glucose restriction (rather than hypoxia and chemotherapeutic drugs), can donor mitochondrial energy production through β-oxidation and protect HCC cells from mitochondrial membrane impairment and cell death in vitro and in vivo. In addition, CEBPA transcriptionally activates ACSL4 , and knockout of CEBPA aborted ACSL4-mediated lipid metabolism.Highlights: 1. Elevated CEBPA-ACSL4 levels in tumors links to adverse prognosis in HCC patients treated with PA-TACE. 2. ACSL4 shields HCC cells from TACE-triggered glucose starvation via AA-involved β-oxidation. 3. CEBPA up-regulates ACSL4 transcriptionally and protects HCC cells from cell death. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the safety and efficacy of partial splenic embolization (PSE) in treating chemotherapy-induced thrombocytopenia (CIT) in patients with colorectal cancer who failed to respond to platelet growth factor therapy. Methods: 56 patients who underwent PSE were retrospectively analyzed. Based on the inclusion and the exclusion criteria, 29 patients were eligible for the study, of whom one underwent twice PSE procedures due to recurrent thrombocytopenia. The clinical characteristics were retrospectively analyzed with respect to efficacy, safety and outcome. Results: 60.0% of patients restarted antineoplastic therapy after PSE. There was a positive correlation between difference value of platelet count and embolization material size (Eta Squared = 0.252, p < 0.05). The correlation between the absolute volume of spleen embolized and postoperative complications was analyzed, with a statistically significant result (p < 0.001). The mean preoperative spleen volume, the preoperative platelet count, postoperative platelet count and difference value of platelet count in the non-cirrhotic group were larger than those in the cirrhotic group (p < 0.001). The mean overall survival was 47.7 ± 7.7 months. Conclusion: PSE is safe and effective in the treatment of CIT patients with colorectal cancer. The larger the embolized particle, the more platelets grew. The severity of complication was also positively correlated with the absolute volume of spleen embolized. Therefore, large particle embolization materials can be used to improve the efficacy of PSE and reduce complications. For CIT patients with cirrhosis, PSE was less effective in improving platelet count than those without cirrhosis. [ABSTRACT FROM AUTHOR]

NorR, as a single-target regulator, has been demonstrated to be involved in NO detoxification in bacteria under anaerobic conditions. Here, the norR gene was identified and deleted in the genome of Vibrio alginolyticus. The results showed that deletion of norR in Vibrio alginolyticus led to lower swarming motility and more biofilm formation on aerobic condition. Moreover, we proved that NorR from E. coli had a similar function in controlling motility. NorR overexpression led to increased resistance to oxidative stress and tetracycline. We also observed a reduced ability of the NorR-overexpressing strain to adapt to iron limitation condition. Transcriptome analysis showed that the genes responsible for bacterial motility and biofilm formation were affected by NorR. The expressions of several sigma factors (RpoS, RpoN, and RpoH) and response regulators (LuxR and MarR) were also controlled by NorR. Furthermore, Chip-qPCR showed that there is a direct binding between NorR and the promoter of rpoS. Based on these results, NorR appears to be a central regulator involved in biofilm formation and swarming motility in Vibrio alginolyticus. [ABSTRACT FROM AUTHOR]

Outfit compatibility modeling is an increasingly important task that has garnered much attention from researchers, and graph neural network (GNN)-based methods have become the mainstream approach to address this task. Despite significant progress achieved by existing research, most of them have overlooked the importance of low-order connectivity in graph data and the relationship between individual fashion items and overall outfit style. To address this issue, we propose an outfit compatibility modeling scheme based on outfit-level relationships. This scheme consists of two key components: FCSA-GNN and GOR. The former consists of multiple layers of Fashion Items Relationship Propagation, where the weights of the graph edges are adapted based on the Category Co-occurrence Matrix. This approach avoids potential imbalances in the quantities of different fashion item categories within the dataset. Subsequently, by connecting the outputs of GNN at each layer, it explores the relationships between fashion item visual signals at different levels. The latter integrates the overall outfits style and further enhances the model's ability to learn a comprehensive representation of the overall outfits through the proposed outfit-level relationships. Experimental results on two real datasets, Polyvore outfit-ND and Polyvore outfit-D, demonstrate that our method outperforms existing state-of-the-art methods when considering only visual information. [ABSTRACT FROM AUTHOR]

Soon after commencement of the SARS-CoV-2 disease outbreak of 2019 (COVID-19), it became evident that the receptor-binding domain of the viral spike protein is the target of neutralizing antibodies that comprise a critical element of protective immunity to the virus. This study addresses the relative lack of information regarding actual antibody concentrations and binding affinities in convalescent plasma (CP) samples from COVID-19 patients and extends these analyses to post-vaccination (PV) samples to estimate protective IgG antibody (Ab) levels. A direct enzyme-linked immunosorbent assay (ELISA) was used to measure IgG anti-spike protein (SP) antibodies (Abs) relative to human chimeric spike S1 Ab standards. Microplate wells were coated with recombinant SP. Affinities of Ab binding to SP were determined by previously described methods. Binding affinities were also determined in an RBD-specific sandwich ELISA. Two indices of protective immunity were determined as permutations of Ab molar concentration divided by affinity as dissociation constant (KD). The range and geometric means of Ab concentrations in 21 CP and 21 PV samples were similar and a protective Ab level of 7.5 μg/ml was determined for the latter population, based on 95% of the normal distribution of the PV population. A population (n = 21) of plasma samples from individuals receiving only one vaccination with the BNT162b2 or mRNA-1273 vaccines (PtV) exhibited a geometric mean Ab concentration significantly (p < 0.03) lower than the PV population. The results of this study have implications for future vaccine development, projection of protective efficacy duration, and understanding of the immune response to SARS-CoV-2 infection. [ABSTRACT FROM AUTHOR]

In this study, tetradecyl methacrylate-maleic anhydride-benzylidene acetone (C14MC-MA-MCA) terpolymers were synthesized via free radical polymerization and evaluated as pour point depressants (PPDs) for coal-based diesel. The findings indicate that the C14MC-MA-MCA (3:1:1) terpolymer exhibited the most effective inhibition of the solid point (SP) at 1500 ppm concentration. Specifically, it reduced the SP of coal-based diesel from − 4 to − 42 °C, marking a significant decrease of 38 °C. Furthermore, the crystallization behavior and SP reduction mechanism of C14MC-MA-MCA in coal-based diesel were investigated using viscosity analysis and polarized optical microscopy (POM). [ABSTRACT FROM AUTHOR]

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Nitric oxide (NO) is a multifunctional signalling molecule with indispensable roles in physiological processes, but its abnormal production is implicated in various disease conditions. Detecting NO is crucial for interrogating its biological roles. Although many o-phenylenediamine-based fluorescent probes have been developed, only a small fraction has been employed in vivo. Moreover, these probes largely require direct modifications of the fluorophore backbones to render NO responsiveness, which restricts the general applicability of o-phenylenediamine-based probe designs to other types of fluorophores. Here, we report the rational development, optimization, and application of a NO-induced urea-bond cleavage reaction for selective fluorescence detection and imaging of NO in living systems. Through rational design and extensive screening, we identified a 2-aminophenylurea-derived functionality that can react with NO through N-nitrosation, acyltriazole formation, and hydrolysis to induce the cleavage of the urea bond and release of the amino-containing coumarin fluorophore. By caging different amino-containing fluorophore scaffolds with the 2-aminophenylurea-derived functionality, we modularly developed a series of NO fluorescent probes with different excitation and emission profiles for the detection of NO in aqueous solutions and live cells. Among these probes, the near-infrared probe has been demonstrated to enable in vivo fluorescence visualization of elevated endogenous levels of NO in a murine inflammation model. Overall, this study provides a NO-induced urea-bond cleavage reaction and establishes the utility of this reaction for the general and modular development of NO fluorescent probes, thus opening new opportunities for studying and manipulating NO in biological systems. [ABSTRACT FROM AUTHOR]

Federated analytics (FA) over spatial data with local differential privacy (LDP) has attracted considerable research attention recently. Existing solutions for this problem mostly employ a uniform grid (UG) structure, which recursively decomposes the whole spatial domain into fine‐grained regions in the distributed setting. In each round, the sampled clients perturb their locations using a random response mechanism with a fixed probability. This approach, however, cannot encode the client's location effectively and will lead to ill‐suited query results. To address the deficiency of existing solutions, we propose LDP‐FSRQ, a spatial range query algorithm that relies on a hybrid spatial structure composed of the UG and quad‐tree with nonuniform perturbation (NUP) probability to encode and perturb clients' locations. In each iteration of LDP‐FSRQ, each client adopts the quad‐tree to encode his/her location into a binary string and uses four local perturbation mechanisms to protect the encoded string. Then, the collector prunes the quad‐tree of the current round according to the clients' reports and shares the pruned tree with the clients of the next round. We demonstrate the application of LDP‐FSRQ on Beijing, Landmark, Check‐in, and NYC datasets, and the experimental results show that our approach outperforms its competitors in terms of queries' utility. [ABSTRACT FROM AUTHOR]

Prognosis biomarkers for endometrial cancer (EC) are in need. Recent evidence demonstrated the critical role of disulfidptosis, a novel cell death modality, in cancer. However, limited studies have developed a disulfidptosis-related gene model for EC. Disulfidptosis prognosis score of EC (disulfidptosis-PSEC) were constructed using disulfidptosis-related differently expression genes with the RNA data of 544 EC patients from The Cancer Genome Atlas (TCGA) dataset. Model was evaluated using time-dependent receiver operating characteristic curve analysis for overall survival (OS) and disease-free survival (DFS), along with the hazard ratio (HR) between risk groups. Then, the cellular and molecular profile for different risk groups were performed, along with drug target inference. Disulfidptosis-PSEC demonstrated outstanding prognostic value for OS and DFS, with 5-year area under curve of 0.71 (95% CI, 0.58–0.75) and 0.69 (95% CI, 0.62–0.76), respectively. Low risk group demonstrated better survival with an HR of 0.38 (95% CI, 0.24–0.59) and 0.46 (95% CI, 0.32–0.66) for OS and DFS, respectively. The model was independent of TCGA subtype. Low risk group were featured with more immune cell infiltration and less gene mutation. Serval drug targets, and the therapeutic value of serotonin receptor among copy number (CN)-low subpopulation, were identified. Disulfidptosis-PSEC was a potential prognosis biomarker for EC with targetable biological process. [ABSTRACT FROM AUTHOR]

Drawing inspiration from the state‐of‐the‐art object detection framework YOLOv8, a new model termed adverse weather net (ADWNet) is proposed. To enhance the model's feature extraction capabilities, the efficient multi‐scale attention (EMA) module has been integrated into the backbone. To address the problem of information loss in fused features, Neck has been replaced with RepGDNeck. Simultaneously, to expedite the model's convergence, the bounding box's loss function has been optimized to SIoU loss. To elucidate the advantages of ADWNet in the context of adverse weather conditions, ablation studies and comparative experiments were conducted. The results indicate that although the model's parameter count increased by 18.4%, the accuracy for detecting rain, snow, and fog in adverse weather conditions improved by 22%, while the FLOPs (floating point operations) decreased by 5%. The results of the comparison experiments conducted on the WEDGE dataset show that ADWNet outperforms other object detection models in adverse weather in terms of accuracy, model parameters and FLOPs. To validate ADWNet's real‐world efficacy, data was extracted from a car recorder under adverse conditions on highways, visual inference was conducted, and its accuracy was demonstrated in interpreting real‐world scenarios. The config files are available at https://github.com/Xinyun‐Feng/ADWNet. [ABSTRACT FROM AUTHOR]

Steroid hormones exhibit potent endocrine disrupting activity and have been shown to disrupt the equilibrium of aquatic ecosystems and pose a threat to public health through their persistent and carcinogenic effects. Pontibacillus chungwhensis HN14, a moderately halophilic bacterium with the capacity to effectively degrade various polycyclic aromatic hydrocarbons and other organic pollutants, was previously isolated. Additionally, the strain HN14 showed strong environmental adaptability under various environmental stress conditions. In this study, the steroid degradation by strain HN14 was studied for the first time. We demonstrated that strain HN14 could degrade estradiol (E2) to maintain the growth of the strain and could convert E2 to estrone. Additionally, the efficient substrate degradation efficiency of P. chungwhensis HN14 under high salinity and high substrate concentration conditions was demonstrated. Furthermore, a 17β-hydroxysteroid dehydrogenase, 17β-HSD(HN14), was identified in strain HN14. Comparative analysis reveals that 17β-HSD(HN14) shares approximately 38% sequence identity with 17β-HSDx from Rhodococcus sp. P14. In addition, 100 µg of purified 17β-HSD(HN14) could effectively convert about 40% of 0.25 mM of E2 within 1 h period, with an enzyme activity of 17.5 U/mg, and catalyze the dehydrogenation of E2 and testosterone at the C-17 position. The characterization of purified enzyme properties reveals that 17β-HSD(HN14) exhibits exceptional structural robustness and enzymatic efficacy even under high salinity conditions of up to 20%. Overall, this study enhances our comprehension of steroid biodegradation in strain HN14 and contributes novel ideas and theoretical underpinnings for advancing bioremediation technologies targeting steroid pollution in high-saline environments. [ABSTRACT FROM AUTHOR]

Counting shrimp larvae is an essential part of shrimp farming. Due to their tiny size and high density, this task is exceedingly difficult. Thus, we introduce an algorithm for counting densely packed shrimp larvae utilizing an enhanced You Only Look Once version 5 (YOLOv5) model through a regional segmentation approach. First, the C2f and convolutional block attention modules are used to improve the capabilities of YOLOv5 in recognizing the small shrimp. Moreover, employing a regional segmentation technique can decrease the receptive field area, thereby enhancing the shrimp counter's detection performance. Finally, a strategy for stitching and deduplication is implemented to tackle the problem of double counting across various segments. The findings from the experiments indicate that the suggested algorithm surpasses several other shrimp counting techniques in terms of accuracy. Notably, for high-density shrimp larvae in large quantities, this algorithm attained an accuracy exceeding 98 % . [ABSTRACT FROM AUTHOR]

Automatic segmentation and lymph node (LN) detection for cancer staging are critical. In clinical practice, computed tomography (CT) and positron emission tomography (PET) imaging detect abnormal LNs. Yet, it is still a difficult task due to the low contrast of LNs and surrounding soft tissues and the variation in nodal size and shape. We designed a location-guided 3D dual network for LN segmentation. A localization module generates Gaussian masks focused on LNs centralized within selected regions of interest (ROI). Our segmentation model incorporated squeeze & excitation (SE) and attention gate (AG) modules into a conventional 3D UNet architecture to boost useful feature utilization and increase usable feature utilization and segmentation accuracy. Lastly, we provide a simple boundary refinement module to polish the outcomes. We assessed the location-guided LN segmentation network’s performance on a clinical dataset with head and neck cancer. The location-guided network outperformed a comparable architecture without the Gaussian mask in terms of performance. [ABSTRACT FROM AUTHOR]

With the rapid development of China's intelligent high-speed railway, the traction power supply system, as one of the key fields in intelligent equipment sector, has established a foundation for intelligence and digitalization. To further enhance the simulation and verification capabilities of the system, research on a digital twin traction power supply system was initiated. Taking the comprehensive data application throughout the entire lifecycle of the system from design to operation, this paper proposed the architecture and evolution path of the digital twin traction power supply system platform. Based on the functional characteristics of the system in the planning and design phase, this study analyzed the data fusion needs of BIM, power supply simulation, substation simulation, catenary simulation system and platform display interaction. A star-shaped data fusion topology was proposed, along with a data fusion method that constructed a unified dataset for data interaction. A unified dataset for structured data, BIM model and file-type data was designed, and a standard JSON data format for static and dynamic attribute data was proposed. A database was built to index and manage various types of data. Based on the Beijing - Tangshan intercity railway project, the digital twin traction power supply system platform was developed and explored in practical applications, achieving core functions such as BIM-driven simulation and three-dimensional dynamic visualization of simulation results, verifying the effectiveness of the data fusion method. This method will provide guidance for the intelligent construction, operation and maintenance of traction power supply system. [ABSTRACT FROM AUTHOR]

Objectives This study reported a single-center clinical trial of endovascular treatment for symptomatic nonacute occlusion of the intracranial large artery (NA-ILAO). The aim of this study was to evaluate the safety, feasibility, and clinical effect of simple balloon dilatation and stent implantation. Methods The patients diagnosed with symptomatic NA-ILAO were enrolled. A total of 40 cases were included in this study. While recanalization failed in 4 patients, it was successful in 36 patients, who were then divided into two groups for further analysis: balloon dilatation group (n = 24) and stent implantation group (n = 12). The perioperative complications, clinical outcome, and follow-up results were analyzed. Results Perioperative complications in the stent implantation group were significantly higher than those in the simple balloon dilatation group (p < 0.05). There were 21 and 10 cases of 90-day good clinical outcome (modified Rankin scale [mRS] ≤ 2) in the balloon and stent groups, respectively (p = 0.518). All patients with successful recanalization underwent digital subtraction angiography (DSA) or CT angiography (CTA) during an average follow-up of 14 months. There were two cases of restenosis in the balloon dilatation group and one in the stent implantation group (p = 1.000). There were two cases of re-occlusion in the stent group and none in the balloon dilatation group (p < 0.001). Stroke recurred in two cases in the stent group and in one case in the simple balloon dilatation group (p = 0.013). Conclusion Endovascular recanalization is safe and feasible for patients with symptomatic NA-ILAO. Compared with stent implantation, simple balloon dilation may be a better recanalization method, but larger randomized controlled trials are needed to confirm it. [ABSTRACT FROM AUTHOR]

Biomarkers screening is a benefit approach for early diagnosis of major diseases. In this study, magnetic nanoparticles (MNPs) have been utilized as labels to establish a multi-line immunochromatography (MNP-MLIC) for simultaneous detection of carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA 19–9), and alpha-fetoprotein (AFP) in a single serum sample. Under the optimal parameters, the three biomarkers can be rapidly and simultaneously qualitative screening within 15 min by naked eye. As for quantitative detection, the MNP-MLIC test strips were precisely positioned and captured by a smartphone, and signals on the test and control lines were extracted by ImageJ software. The signal ratio of test and control lines has been calculated and used to plot quantitative standard curves with the logarithmic concentration, of which the correlation coefficients are more than 0.99, and the limit of detection for CEA, CA 19–9, and AFP were 0.60 ng/mL, 1.21 U/mL, and 0.93 ng/mL, respectively. The recoveries of blank serum were 75.0 ~ 112.5% with the relative standard deviation ranging from 2.5 to 15.3%, and the specificity investigation demonstrated that the MNP-MLIC is highly specific to the three biomarkers. In conclusion, the developed MNP-MLIC offers a rapid, simple, accurate, and highly specific method for simultaneously detecting multiple biomarkers in serum samples, which provides an efficient and accurate approach for the early diagnosis of diseases. [ABSTRACT FROM AUTHOR]

Pyrolysis is an effective way for the harmless treatment of oily sludge. The composition, physicochemical properties, and pyrolysis of oily sludge were experimentally studied in the present study. The Starink and Coats-Redfern methods were used to analyze the pyrolysis kinetics of oily sludge. Pyrolysis of oily sludge is divided into four stages: water evaporation stage, light component evaporation stage, heavy component pyrolysis stage, and final pyrolysis stage. The light component evaporation and heavy component pyrolysis stages are the main stages of medium-temperature pyrolysis. The pyrolysis characteristic parameters under heating rates of 10, 20, 30, and 40 K/min were obtained, and the effects of heating rates on the pyrolysis characteristics of oily sludge were discussed. The results show that with the increase in heating rate, the temperature range of each stage expands, and the temperature of the pyrolysis peaks also increases, with an average increase of 14.88%. The activation energies of the main pyrolysis stages obtained by the Starink method and Coats-Redfern method are consistent. In the light component evaporation stage, the activation energies obtained by the two methods are 61.93kJ/mol and 68.6kJ/mol, while the activation energies are 294.88kJ/mol and 367kJ/mol in the heavy component pyrolysis stage. The pyrolysis mechanism functions are obtained, and the pyrolysis kinetic equations under 10, 20, 30, and 40 K/min were constructed and validated by comparison with the results of the calculated properties and experimental measurement. This study can provide a better insight into the heat and mass transfer processes of oily sludge in pyrolysis reactors for further development and optimization. [ABSTRACT FROM AUTHOR]

Large-grained UO2 is considered a potential accident-tolerant fuel (ATF) due to its superior fission gas retention capabilities. Irradiation experiments for cerium dioxide (CeO2), used as a surrogate fuel, is a common approach for evaluating the performance of UO2. In this work, spark plasma sintered CeO2 pellets with varying grain sizes (145 nm, 353 nm, and 101 μm) and a relative density greater than 93.83% were irradiated with 4 MeV Xe ions at a fluence of 2 × 1015 ions/cm2 at room temperature, followed by annealing at 600 °C for 3 h. Microstructure, including dislocation loops and bubble morphology of the irradiated samples, has been characterized. The average size of dislocation loops increases with increasing grain size. Large-sized dislocation loops are absent near the grain boundary because the boundary absorbs surrounding defects and prevents the dislocation loops from coalescing and expanding. The distribution of bubbles within the grain is uniform, whereas the large-sized and irregularly shaped xenon bubbles observed in the small grain exhibit pipe diffusion along the grain boundaries. The bubble diameter in the large-grained pellet is the smallest. As the grain size increases, the volumetric swelling of the irradiated pellets decreases while the areal density of Xe bubbles increases. Elemental segregation, which tends to occur at dislocation loops and grain boundaries, has been analyzed. Large-grained CeO2 pellet with lower-density grain boundaries exhibits better resistance to volumetric swelling and elemental segregation, suggesting that large-grained UO2 pellets could serve as a potential ATF. [ABSTRACT FROM AUTHOR]

To study the failure of red sandstone under extremely high stress during the service life of tunnels, an in-depth study was conducted on the mechanical properties of red sandstone under uniaxial loading and cyclic loading and unloading processes at different pH values using the AG-250kNIS electronic precision material testing machine and MTS815 mechanical testing machine. The results show that as the acidity and alkalinity increase, the peak stress under uniaxial loading decreases and the axial strain increases,The peak stress at failure is 9.40, 12.37, 7.18, and 5.36 MPa, respectively, accounting for 74.19%, 68.91%, 40.38%, and 36.21% of the uniaxial compressive strength; The number of cycles significantly decreases during cyclic loading and unloading fatigue failure, and the stress required for sandstone failure gradually decreases. The peak strength and elastic modulus of sandstone show a decreasing trend, indicating that the hydrochemical environment plays an accelerating role in rock degradation. During the cyclic loading and unloading process of sandstone, there is a continuous increase in dissipated energy and finally a sudden increase, the Ud/U and Ue/U ratios at the peak point of sandstone in the natural state are 0.399 and 0.601, respectively, while the overall elastic energy shows an increasing trend; and a damage evolution model was established based on dissipative energy, which can better describe the degradation process of red sandstone. [ABSTRACT FROM AUTHOR]

Hash algorithms are among the most crucial algorithms in cryptography. The SM3 algorithm is a hash cryptographic standard of China. Because of the strong collision resistance and irreversibility of hash algorithms, they are widely used as a basic function in various fields such as digital signatures and random number generation. With the increasing real-time applications of automation in the fields of finance and office, the network puts forward higher demands for the implementing efficiency of the SM3 algorithm. We present a CUDA-based parallel optimized method for SM3 algorithm by four different ways: They are Single data stream with Single thread (SS), Multiple data streams with Single thread (MS), Single data stream with Multi-thread (SM), and Multiple data streams with Multi-thread (MM). The experimental result shows MM is the best of the four. When considering the data transmission between CPU and GPU, the proposed optimized algorithm achieves a peak performance of 166.42 Gb/s, which is 1.96 times of the best-known implementation of the SM3 algorithm on GPU platforms. Without transmission time counting, the peak performance is near 8500 Gb/s. Compared with other SM3 GPU algorithms, the algorithm proposed in this paper significantly enhances the efficiency of digest generation. Furthermore, the results show a new conclusion that the optimization of logical operations in the SM3 algorithm has reached a very high extent and the data transmission of PCIE becomes the bottleneck in the CPU+GPU data processing mode. Therefore, future work on the optimization of the SM3 algorithm should pay more attention to the PCIE data transfer efficiency. [ABSTRACT FROM AUTHOR]

The RNA binding protein is crucial for gene regulation at the post transcription level. In this study, functions of the DUF1127-containing protein and ProQ, which are RNA-binding proteins, were revealed in Vibrio alginolyticus. DUF1127 deletion increased the ability of biofilm formation, whereas ProQ deletion reduced the amount of biofilm. Moreover, extracellular proteinase secretion was significantly reduced in the DUF1127 deletion strain. ProQ, not DUF1127-containing protein, can help the cell to defense oxidative stress. Deletion of DUF1127 resulted in a higher ROS level in the cell, however, ProQ deletion showed no difference. RNA-seq unveiled the expression of genes involved in extracellular protease secretion were significantly downregulated and biofilm synthesis-related genes, such as rbsB and alsS, were differentially expressed in the DUF1127 deletion strain. ProQ affected the expression of genes involved in biofilm synthesis (flgC and flgE), virulence (betB and hutG), and oxidative stress. Moreover, the DUF1127-containing and ProQ affected the mRNA levels of various regulators, such as LysR and BetI. Overall, our study revealed that the DUF1127-containing protein and ProQ have crucial functions on biofilm formation in V. alginolyticus. [ABSTRACT FROM AUTHOR]

Background: This study aimed to identify dendritic cells (DCs) related genes in hepatocellular carcinoma (HCC) patients, establish DC-related subtypes and signatures, and correlate them with prognosis and treatment response. Methods: DC-related genes were screened using Weighted Gene Co-expression Network Analysis (WGCNA) based on RNA sequencing from the TCGA (374 samples), GSE14520 (242 samples), and GSE76427 datasets (115 samples), following immune infiltration assessment by the TIME method. Two DC-related subtypes in HCC were identified through unsupervised clustering. A DC-related signature (DCRS) predictive of overall survival was constructed using LASSO and Cox regression models, and validated across the three datasets. Additionally, genetic mutation characteristics, immune infiltration levels, and treatment sensitivity were explored in DCRS risk groups. The expression levels of DCRS genes and risk scores were validated in the transcriptome of 13 HCC patients receiving combined targeted therapy and immunotherapy in the Guangxi cohort using Wilcoxon test. Results: A signature consisting of 13 genes related to DCs was constructed, and the superior prognostic consistency of the low DCRS risk group was validated across the TCGA (P=0.003), GSE76427 (P=0.005), and GSE14520 (P=0.047) datasets. Furthermore, in the 147-sample transarterial chemoembolization (TACE) treatment dataset GSE104580, the response group exhibited lower risk scores than the non-response group (P=0.01), whereas in the 140-sample Sorafenib treatment dataset GSE109211 (P=0.041) and the 17-sample anti-PD-1 treatment dataset GSE202069 (P=0.027), the risk scores were higher in the response group. We also validated the gene expression levels of DCRS and the higher risk scores in the response group of the Guangxi cohort (P=0.034). Conclusion: A DCRS consisting of 13 genes was established in HCC, facilitating the prediction of patient prognosis and responsiveness to TACE, targeted therapy, and immunotherapy. [ABSTRACT FROM AUTHOR]

Transition metal sulfides have great potential as anode materials for sodium-ion batteries (SIBs) due to their high theoretical specific capacities. However, the inferior intrinsic conductivity and large volume variation during sodiation–desodiation processes seriously affect its high-rate and long-cycle performance, unbeneficial for the application as fast-charging and long-cycling SIBs anode. Herein, the three-dimensional porous Cu1.81S/nitrogen-doped carbon frameworks (Cu1.81S/NC) are synthesized by the simple and facile sol–gel and annealing processes, which can accommodate the volumetric expansion of Cu1.81S nanoparticles and accelerate the transmission of ions and electrons during Na+ insertion/extraction processes, exhibiting the excellent rate capability (250.6 mAh·g−1 at 20.0 A·g−1) and outstanding cycling stability (70% capacity retention for 6000 cycles at 10.0 A·g−1) for SIBs. Moreover, the Na-ion full cells coupled with Na3V2(PO4)3/C cathode also demonstrate the satisfactory reversible specific capacity of 330.5 mAh·g−1 at 5.0 A·g−1 and long-cycle performance with the 86.9% capacity retention at 2.0 A·g−1 after 750 cycles. This work proposes a promising way for the conversion-based metal sulfides for the applications as fast-charging sodium-ion battery anode. [ABSTRACT FROM AUTHOR]

The foundry industry has gradually become an important concern for carbon emissions. The composite patternless casting, which combines sand mould 3D printing and sand mould milling technologies, is an effective way to explore the potential of energy saving and emission reduction in the foundry industry. However, the technical advantages of composite patternless casting in terms of energy saving and emission reduction have not been fully studied. To address this issue, this paper combines the composite patternless casting with the modular division method, and proposes a influence modelling and analysis method for carbon emissions and carbon efficiency ratio based on the process characteristics stage. The model and method are applied to the patternless casting process of a cylinder block. And the modular division schemes of the mould were proposed. The results show that through different modular division schemes, carbon emissions can be effectively reduced by 8.39%, the carbon efficiency ratio can be increased by up to 30%. This method is helpful to describe the carbon emission influence of the patternless casting forming process, and analyse the energy saving and emission reduction potential and carbon efficiency of the process. [ABSTRACT FROM AUTHOR]

Superconductivity in a highly correlated kagome system has been theoretically proposed for years (refs. 1–5), yet the experimental realization is hard to achieve6,7. The recently discovered vanadium-based kagome materials8, which exhibit both superconductivity9–11 and charge-density-wave orders12–14, are nonmagnetic8,9 and weakly correlated15,16. Thus these materials are unlikely to host the exotic superconductivity theoretically proposed. Here we report the discovery of a chromium-based kagome metal, CsCr3Sb5, which is contrastingly featured with strong electron correlations, frustrated magnetism and characteristic flat bands close to the Fermi level. Under ambient pressure, this kagome metal undergoes a concurrent structural and magnetic phase transition at 55 K, with a stripe-like 4a0 structural modulation. At high pressure, the phase transition evolves into two transitions, possibly associated with charge-density-wave and antiferromagnetic spin-density-wave orderings. These density-wave-like orders are gradually suppressed with pressure and, remarkably, a superconducting dome emerges at 3.65–8.0 GPa. The maximum of the superconducting transition temperature, Tcmax = 6.4 K, appears when the density-wave-like orders are completely suppressed at 4.2 GPa, and the normal state exhibits a non-Fermi-liquid behaviour, reminiscent of unconventional superconductivity and quantum criticality in iron-based superconductors17,18. Our work offers an unprecedented platform for investigating superconductivity in correlated kagome systems.The emergence of superconductivity under pressure is reported in a chromium-based kagome metal, CsCr3Sb5, which has strong electron correlations, frustrated magnetism and characteristic flat bands close to the Fermi level. [ABSTRACT FROM AUTHOR]

Carbon capture, utilization, and storage (CCUS) technologies are an integral part of the carbon-neutral technology portfolio at the present phase. However, large-scale implementation of CCUS technologies may increase urban water consumption and raise urban water security issues. In this paper, 596 large-scale coal-fired power plants were investigated in terms of water withdrawal and water consumption. To minimize total water withdrawal and total water consumption, a source-sink matching model for CCUS projects under water resource constraints was established to optimize the layout of CCUS projects in China. The results show that there is a mismatch between the distribution of coal-fired power plants in a spatial location and water resources. The annual increase in water withdrawal of about 27.6 billion tons and water consumption of about 2.4 billion tons is needed to achieve the 2 °C target, which will aggravate the water scarcity in the north-central cities. Implementation of CO2-enhanced water recovery (CO2-EWR) technology can offset some of the increase in urban water consumption owing to CCUS deployment. This study can provide data support for site selection in the large-scale deployment of CCUS technology and provide the theoretical basis for decision-makers to lay out CCUS projects. [ABSTRACT FROM AUTHOR]

Photocatalytic ammonia production holds immense promise as an environmentally sustainable approach to nitrogen fixation. In this study, In2O3/In2S3-ZnCdS ternary heterostructures were successfully constructed through an innovative in situ anion exchange process, coupled with a low-temperature hydrothermal method for ZnCdS (ZCS) incorporation. The resulting In2O3/In2S3-ZCS photocatalyst was proved to be highly efficient in converting N2 to NH3 under mild conditions, eliminating the need for sacrificial agents or precious metal catalysts. Notably, the NH4+ yield of In2O3/In2S3-0.5ZCS reached a significant level of 71.2 μmol g−1 h−1, which was 10.47 times higher than that of In2O3 (6.8 μmol g−1 h−1) and 3.22 times higher than that of In2O3/In2S3 (22.1 μmol g−1 h−1). This outstanding performance can be attributed to the ternary heterojunction configuration, which significantly extends the lifetime of photogenerated carriers and enhances the spatial separation of electrons and holes. The synergistic interplay between CdZnS, In2S3, and In2O3 in the heterojunction facilitates electron transport, thereby boosting the rate of the photocatalytic nitrogen fixation reaction. Our study not only validates the efficacy of ternary heterojunctions in photocatalytic nitrogen fixation but also offers valuable insights for the design and construction of such catalysts for future applications. [ABSTRACT FROM AUTHOR]

Four new species of Clavulina are described from specimens collected in the tropical rainforests of Hainan Island, China. Molecular phylogenetic analyses based on concatenated ITS + LSU + RPB2 sequences and morphological characters support the placement of these accessions within the genus Clavulina and their recognition as new species. Accordingly, Clavulina hainanensis, C. pallidorosea, C. tomentosa, and C. eburnea are described and illustrated. We provide photographs, line drawings, and DNA sequences of the new species, and a key to all known Clavulina species in China. Holotypes of the new species are deposited in the Mycological Herbarium of Hunan Normal University (MHHNU). [ABSTRACT FROM AUTHOR]

A large-scale foundation pit with an area of 39,677 m2 (B2) was excavated to the south of an existing 25,720 m2 Chengdu Universal Trade Plaza (CDUTP) foundation pit (B1) in Chengdu, China. The purpose of this manuscript was to investigate the deformation characteristics of B2 and compare the difference of deformation characteristics between foundation pits B1 and B2. Direct monitoring results of foundation pit B2 were comprehensively investigated and compared with that observed in B1, which include lateral movement, column movement, stress in the columns, and axis force in the anchor cable. Additionally, a strategic approach to mitigate potential extensive lateral deformation was introduced. The monitored results for B2 revealed that the deflection and vertical movement of the columns were comparatively smaller than the reported lower boundaries. The maximum excavation-induced lateral column deflection exhibited a notable 35% reduction in comparison to the lateral deflection observed in the new excavation. However, vertical column movements were approximately twice as pronounced as those in B1. Furthermore, the installation of temporary columns with anchor cables in front of permanent columns proved effective in limiting the vertical deformation during excavation in close proximity to the permanent columns. This research provides valuable insights into the documentation of large-size excavations in soft soil, along with corresponding mitigation approaches. [ABSTRACT FROM AUTHOR]

Three new species of Phaeoclavulina from China are described: Phaeoclavulina bicolor, P. echinoflava, and P. jilinensis. Recognition of the new species is supported by morphological and molecular evidence. Phylogenetic analyses of concatenated ITS1–5.8S–ITS2 and nuclear large subunit sequences support the establishment of the new species and their placement within the Phaeoclavulina clade. A key to the known Phaeoclavulina species in China is provided. [ABSTRACT FROM AUTHOR]

The stationarity hypothesis of hydrometeorological elements has been questioned in the context of global warming and intense human disturbance. The conventional drought index and methods of frequency analysis may no longer be applicable for hydrological drought risk evaluation under a changing environment. In this study, a new dynamic hydrological drought risk evaluation framework is proposed for application to the Hanjiang River basin (HRB), which simultaneously considers the non‐stationarity in the construction of drought index as well as in the frequency analysis. First, a non‐stationary standardized runoff index (NSRI) is developed using a generalized additive model for location, scale and shape (GAMLSS) framework. Then, hydrological drought characteristics including duration and severity are identified, and their marginal distributions are established. Finally, based on the dynamic copula, considering the non‐stationarity of the dependence structure, the dynamic joint probability distribution, conditional probability distribution and return period of the bivariate hydrological drought properties are analysed. Results showed that NSRI, which integrates the impacts of climate change and anthropogenic activities on the non‐stationarity of runoff series, had a better ability to capture runoff extremes than had SRI. In addition, it is indispensable to consider the non‐stationarity of the dependence structure between variables when discussing the multivariate joint risk of hydrological drought. The risk of hydrological drought in the study area has shown an increasing trend in the past 65 years, and the drought conditions from upstream to downstream have been alleviated first and then intensified. This study provides valuable information for regional drought risk estimation and water resources management from a non‐stationary perspective. [ABSTRACT FROM AUTHOR]

This paper investigated the global attractive set for quaternion-valued neural networks (QVNNs) with leakage delay, time-varying delay, and neutral items. Based on various basic conditions of activation function, the global attractive set and global exponential attractive set of QVNNs are given combined with novel analytical techniques and Lyapunov theory. The QVNNs are studied by a direct method, without any decomposition. The time delay can be non-differential, which makes the results more pragmatic. Restrictions on the activation function of the neutral item are relaxed. The neutral activation function can be bounded or unbounded, which makes the results more practical. Two simulation examples are given to verify the validity of the theory results. [ABSTRACT FROM AUTHOR]

Specimens of three newly discovered species of Clavulina, and the previously described species Clavulina thindii, were collected during field surveys in southwestern China. The specimens were used for examination of morphological characters and DNA extraction for molecular phylogenetic analyses. Phylogenetic analysis of concatenated sequences for the nuclear ribosomal DNA internal transcribed spacer region, nuclear ribosomal RNA large subunit, and the RNA polymerase II subunit B gene revealed that the three new species each formed a distinct lineage in the Clavulina clade. The samples of C. thindii from China and India formed a monophyletic lineage. The three new species are formally described here. Clavulina curva has noticeably distorted basidiomata, C. spina has uniform spines on the basidioma surface, and C. yunnanensis has brownish gray to dark black-brown stipes, with rare longitudinal corrugations and bristles. A key to all Clavulina species recorded in China, and descriptions of the macromorphology, micromorphology, and habitat for the four Clavulina species treated herein, are provided. [ABSTRACT FROM AUTHOR]

Knitted fabric simulation seeks to create lifelike virtual representations of various knitted items like sweaters and socks using mathematical models and advanced simulation techniques. Significant advancements have been achieved in this area. Visual simulations of these fabrics now boast enhanced details, textures, and colors, closely resembling real‐world counterparts. Additionally, physical simulations have improved the movement and deformation aspects of virtual knitted fabrics, enhancing their realism. However, challenges remain. One major concern is the computational demands of these simulations, which can hinder real‐time interactions. Another issue is refining the accuracy of material models, especially when simulating diverse fibers and textures. This paper aims to review the current state of knitted fabric simulation and speculate on its future directions. [ABSTRACT FROM AUTHOR]

Background: Immune checkpoint inhibitor (ICI)-based combination therapy modalities for hepatocellular carcinoma (HCC) have achieved significant efficacy in clinical research and practice and have become the mainstay for the treatment of unresectable HCC. Summary: To better help clinicians use combination immunotherapy drugs and regimens rationally, effectively, and safely, the editorial board facilitated a discussion with multidisciplinary experts in the field, adopted the "Delphi" consensus formation method, and finally revised and completed the "Chinese Multidisciplinary Expert Consensus on the Immune Checkpoint Inhibitors (ICIs)-Based Combination Therapy for Hepatocellular Carcinoma (2023 Edition)" on the basis of the 2021 edition. Key Messages: This consensus primarily focuses on the principles and methods of clinical practice of combination therapy based on ICIs, aiming to summarize the recommendations for clinical application based on the latest research and expert experience and provide application guidance for clinicians. [ABSTRACT FROM AUTHOR]

Ensemble precipitation forecasts (EPFs) derived from single numerical weather predictions (NWPs) often miss extreme events, and individual hydrological models (HMs) often fail to accurately capture all types of flows, including flood peaks. To address these shortcomings, this study introduced four "EPF + HM" schemes for ensemble flood forecasting (EFF) by combining two EPFs and two HMs. A generator-based post-processing (GPP) method was applied to correct biases and under-dispersion within the raw EPF data. The effectiveness of these schemes in delivering high-quality flood forecasts was assessed using both deterministic and probabilistic metrics. The results indicate that, once post-processed by GPP, all proposed schemes show improvements in both deterministic and probabilistic performances, with skillful flood forecasts for 1–7 lead days. The deterioration in forecast performance with extended lead times is also lessened. Notably, the results indicate that uncertainty within hydrological models has a more pronounced impact on capturing flood peaks than uncertainty in precipitation inputs. This study recommends combining individual EPF with multiple hydrological models for reliable flood forecasting. In conclusion, effective flood forecasting necessitates employing post-processing techniques to correct EPFs and accounting for the uncertainty inherent in hydrological models, rather than relying solely on the uncertainty of the input data. [ABSTRACT FROM AUTHOR]

Using regional hydrogeological data, water temperature gradient test results, regional groundwater exploitation data, and precipitation data, the factors affecting the multi-year and interannual changes in water level and temperature in the Tongliao earthquake observation well in Inner Mongolia were analyzed. On this basis, a hydrodynamic geological model was constructed to explore the mechanism of quasi synchronous changes in water level and temperature in the well. The results indicate that regional groundwater extraction and rainfall are the main influencing factors for the quasi synchronous changes of water level and temperature in the well, and the cold water infiltration theory can well explain these quasi synchronous changes. [ABSTRACT FROM AUTHOR]

Bryophytes, a monophyletic group comprising three major lineages, diversified soon after the terrestrialization of land plants. However, their internal phylogenetic relationships remain controversial. In this study, we reconstructed the ordinal and familial phylogeny of bryophytes using the largest plastid data set to date, including 549 taxa that represent almost all known orders and two‐thirds of families. The strongly supported phylogenetic inference enabled us to propose in mosses seven newly segregated families, that is, Baldwiniellaceae, Calyptrochaetaceae, Ctenidiaceae, Herpetineuraceae, Isodrepaniaceae, Pseudotaxiphyllaceae, and Rozeaceae, and one reduced family, that is, Climaciaceae. We also transferred the liverwort family Calyculariaceae from Fossombroniales to Pelliales. Recent advancements in molecular phylogeny have revolutionized bryophyte classification, tending to be more fragmental. Hence, we further propose a revised familial classification system for bryophytes that includes 45 orders and 142 families in mosses, 23 orders and 85 families in liverworts, and five orders and five families in hornworts. [ABSTRACT FROM AUTHOR]

The high-precision and high-purity isolation of circulating tumor cells (CTCs) from whole blood is vital to early cancer detection. Cascaded microfluidic separation is highly efficient because it connects multiple-stage separations in series. Here, we numerically investigated sheathless tumor cell separation with size-dependent cascaded inertial and deterministic lateral displacement (DLD) microfluidic device. The inertial microfluidic is arranged in the first-stage unit for particle focusing and rough sorting, and the cascaded DLD microfluidic is arranged in the second stage for realizing further sorting and purification. A parametric study with flow rate range from 100–600 μl/min and aspect ratio range from 60:100 to 60:300 of the first stage was carried out to optimize channel structure for realizing high-efficiency separation. Then, the pre-separation mechanism within the spiral microchannel was analyzed. The purity of the obtained CTCs and the separation efficiency were further improved using a droplet-type microcolumn DLD microfluidic device as the second unit. The cascade eliminates the need for additional force fields and reduces device complexity while simplifying operation and reducing the chance of sample contamination. [ABSTRACT FROM AUTHOR]

Single-turn coil (STC) is a destructive pulsed magnet aiming at 100–300 T magnetic field. Mass-loading is the method to increase STC magnetic field. In this study, a unified solid-multiphase flow model is proposed to solve the shock contact problem between the conductor and mass-loading material. This model gives the approach to equate the solid to viscid fluid and equate the melted material to solid and derives the constitutive model for the conductor under non-adiabatic state. Especially, the method to calculate non-adiabatic modulus is investigated. The results show that the equivalent viscosity of solid decreases as the strain rate rises. Moreover, the equivalent shear modulus of the melted solid increases as the strain rate rises, and considering this equivalent shear modulus rather than setting it to zero improves the simulation convergence significantly. This model can provide not only theoretical support for the optimal design of destructive pulse magnets but also methods for theoretical modeling of other types of electromagnetic explosion and shock contact experiments under non-adiabatic condition. [ABSTRACT FROM AUTHOR]

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumor, making it one of the most life‐threatening human cancers. Nevertheless, research on the mechanism of action between alternative splicing (AS) and splicing factor (SF) or biomarkers in GBM is limited. AS is a crucial post‐transcriptional regulatory mechanism. More than 95% of human genes undergo AS events. AS can diversify the expression patterns of genes, thereby increasing the diversity of proteins and playing a significant role in the occurrence and development of tumors. In this study, we downloaded 599 clinical data and 169 transcriptome analysis data from The Cancer Genome Atlas (TCGA) database. Besides, we collected AS data about GBM from TCGA‐SpliceSeq. The overall survival (OS) related AS events in GBM were determined through least absolute shrinkage and selection operator (Lasso) and Cox analysis. Subsequently, the association of these 1825 OS‐related AS events with patient survival was validated using the Kaplan–Meier survival analysis, receiver operating characteristic curve, risk curve analysis, and independent prognostic analysis. Finally, we depicted the AS–SF regulatory network, illustrating the interactions between splicing factors and various AS events in GBM. Additionally, we identified three splicing factors (RNU4‐1, SEC31B, and CLK1) associated with patient survival. In conclusion, based on AS occurrences, we developed a predictive risk model and constructed an interaction network between GBM‐related AS events and SFs, aiming to shed light on the underlying mechanisms of GBM pathogenesis and progression. [ABSTRACT FROM AUTHOR]