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In this paper, it was found for the first time that with Sr addition in Al–Si–Mg–Ce alloy, the morphology of eutectic (Si) can be modified from branch to fine fibrous, while the bulk-like Al2Si2Ce phase may replace the elongated needle-like one. Moreover, Mg was observed to segregate along the (Al)/Al2Si2Ce interface and Sr was found to concentrate in the interior of Al2Si2Ce phase. Such heterostructured Sr–Al2Si2Ce was also supported by first-principles calculations. The synergistic morphology modification of eutectic (Si) and Al2Si2Ce phases by Sr addition stimulated the simultaneous improvement in strength and ductility in Al–Si–Mg–Ce alloy.

C18H22N5O2·C7H4ClO2, orthorhombic, P212121 (no. 19), a = 8.9188(2) Å, b = 10.8391(2) Å, c = 25.9295(5) Å, V = 2506.65(9) Å3, Z = 4, Rgt (F) = 0.0357, wRref (F 2) = 0.1085, T = 293(2) K.

Sepsis is a life-threatening state of organ dysfunction caused by systemic inflammation and a dysfunctional response to host infections that can induce severe intestinal mucosal damage. Pyroptosis is mediated by the activated NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome after stimulation by various inflammatory factors during sepsis. The inflammatory response is a major driver of intestinal damage during sepsis. Intestinal mucosal barrier dysfunction in sepsis is associated with pyroptosis, a type of programmed inflammatory cell death. Several studies have confirmed the role of miR-155 in sepsis and other diseases. However, the effect of miR-155 on intestinal pyroptosis in the context of intestinal mucosal barrier dysfunction during sepsis remains unclear. Thus, a model of sepsis in Sprague-Dawley rats is established using cecal ligation and puncture (CLP), and a series of molecular biological methods are used in this study. The results show that the expression of miR-155 is increased and that of sirtuin 1 (SIRT1) is decreased in the intestinal tissues of patients with sepsis. miR-155 expression is negatively correlated with SIRT1 expression. Increased miR-155 expression significantly inhibits SIRT1 activity and upregulates the expressions of NOD-like receptor family pyrin domain-containing 3 (NLRP3), caspase-1, apoptosis-associated speck-like protein containing a CARD (ASC), interleukin-1β (IL-1β) and interleukin-18 (IL-18) to promote pyroptosis. The inhibition of miR-155 expression is associated with increased SIRT1 expression, promotes the deacetylation of p65, and significantly downregulates p65 acetylation. Herein, we propose that miR-155 induces pyroptosis in the intestine partly by regulating SIRT1, thereby reducing the deacetylation of the nuclear factor (NF)-κB subunit p65 and increasing NF-κB signaling activity in sepsis, leading to intestinal barrier damage.

Jellyfish, microorganisms, and the marine environment collectively shape a complex ecosystem. This study aimed to analyze the microbial communities associated with five jellyfish species, exploring their composition, diversity, and relationships. Microbial diversity among the species was assessed using 16S rRNA gene sequencing and QIIME analysis. Significant differences in bacterial composition were found, with distinct dominant taxa in each species: Mycoplasmataceae (99.21%) in Aurelia coerulea, Sphingomonadaceae (22.81%) in Cassiopea andromeda, Alphaproteobacteria_unclassified (family level) (64.09%) in Chrysaora quinquecirrha, Parcubacteria_unclassified (family level) (93.11%) in Phacellophora camtschatica, and Chlamydiaceae (35.05%) and Alphaproteobacteria_unclassified (family level) (38.73%) in Rhopilema esculentum. C. andromeda showed the highest diversity, while A. coerulea exhibited the lowest. Correlations among dominant genera varied, including a positive correlation between Parcubacteria_unclassified (genus level) and Chlamydiaceae_unclassified (genus level). Genes were enriched in metabolic pathways and ABC transporters. The most abundant potential pathogens at the phylum level were Proteobacteria, Tenericutes, Chlamydiae, and Epsilonbacteraeota. The differing microbial compositions are likely influenced by species and their habitats. Interactions between jellyfish and microorganisms, as well as among microorganisms, showed interdependency or antagonism. Most microbial gene functions focused on metabolic pathways, warranting further study on the relationship between pathogenic bacteria and these pathways.

This study investigates the revolutionization of the application of ChatGPT with respect to its accessibility, creativity, and impact on music industry in China. To achieve this, the study employed Z-test technique for difference in proportion and the ordered logistic regression model. These methods were used to explore deeper into suitable strategies using survey with a sample size of 385 music artists including music producers, songwriters, artists/musicians, and sound engineers.

N-glycans play important roles in a variety of biological processes. In recent years, analytical technologies with high resolution and sensitivity have advanced exponentially, enabling analysts to investigate N-glycomic changes in different states. Specific glycan and glycosylation signatures have been identified in multiple diseases, including cancer, autoimmune diseases, nervous system disorders, and metabolic and cardiovascular diseases. These glycans demonstrate comparable or superior indicating capability in disease diagnosis and prognosis over routine biomarkers. Moreover, synchronous glycan alterations concurrent with disease initiation and progression provide novel insights into pathogenetic mechanisms and potential treatment targets. This review elucidates the biological significance of N-glycans, compares the existing glycomic technologies, and delineates the clinical performance of N-glycans across a range of diseases.

Crude starches (C-S-1, C-S-2, C-S-3 and C-S-4) were prepared the dough method from wheat flours with different processing degrees from the wheat processing line, the front (S-1), middle (S-2 and S-3) and back (S-4) flour mill streams, and refined starches (R-S-1, R-S-2, R-S-3 and R-S-4) were obtained after the removal of yellow waste slurry. The effects of the retention or removal of yellow waste slurry on physicochemical indexes, pasting properties, gelatinization properties, granular morphology and crystal structure of wheat starch were investigated. It was shown that the particle size of the crude starches was larger than that of their refined counterparts (D10 7.51–8.26 μm versus 6.46–7.70 μm). High contents of impurities, specifically ash, crude protein and pentosan, were found in the crude starches than their refined counterparts. X-ray diffraction analysis showed that both crude and refined starches had an A-type crystalline structure, and the relative crystallinity of the latter was higher than that of the former. Their paste properties were significantly different. The refined starches had higher transparency, peak viscosity, final viscosity and trough viscosity but lower solubility and swelling strength than the crude starches. There was no significant difference in textural properties between the crude and refined starch gels, except that the hardness and gel strength of the back-stream starch were higher than those of the front- and middle-stream starches.

Nanomaterials (NMs) have found extensive applications in the realm of ornamental plants due to their unique properties. This article comprehensively discusses four main aspects of NM utilization in ornamental plants: 1) providing new insights into challenging problems in tissue culture, 2) exploring their regulatory effects on the growth of ornamental plants, 3) enhancing the resistance to biotic and abiotic stressors, and 4) discussing their widespread application and mechanisms in cut flower harvesting. Furthermore, potential issues and future directions are explored, providing a deeper theoretical basis for the application of novel NMs in the realm of ornamental plants.

Effectively tapping into the response potential of load-side resources is one of the effective means to enhance the control capabilities of load resources. To efficiently perceive the response potential of loads， a method for assessing the response potential of load-side resources is proposed based on SWARA （step-wise weight assessment ratio analysis）， CRITIC （criteria importance through intercriteria correlation）， and MARCOS （measurement of alternatives and ranking according to compromise solution）. Firstly， a multidimensional set of impact factor indicators for load response potential is constructed based on factors from the load， economic， social， and system perspectives. Fuzzy number theory is then employed to assess the weights of these indicators and the response potential of the load. Subsequently， the comprehensive weights of various indicators are calculated by combining SWARA and CRITIC. Utilizing MARCOS， the utility function values of load response potential for each type of load are determined based on the integrated indicator weights， resulting in a ranking of load response potential. Lastly， the effectiveness of the proposed method is validated through a case study using part of the dispatchable user loads in Shanghai.

【Objective】Deformable Mirror(DM) is a key device in adaptive optics system for wavefront correction, and its performance directly determines the wavefront correction capability of the system. By studying DM and their control algorithm, the wavefront correction capability of adaptive optics system can be continuously improved. On one hand, the accuracy and response speed of DM can be enhanced to better correct various complex wavefront distortions. On the other hand, the control algorithm can be improved to increase the efficiency and accuracy of the correction. These studies will directly affect the imaging quality and performance of adaptive optics system. Therefore, investigating the DM and their control algorithm is of great significance for improving the wavefront correction capability, expanding application fields, and enhancing imaging quality and performance of adaptive optics system.【Methods】The article aims to summarize the research progress on DM and their control algorithm both domestically and internationally, as well as analyze the correction accuracy of different control algorithm for wavefront distortion, establishing the groundwork for the advancement of adaptive optics. Firstly, several typical DMs are used as examples to model the DM and provide detailed introductions to the structures and working principles of separate actuator DM, splicer DM, thin film DM, dual piezoelectric DM, Micro Electromechanical System (MEMS) DM and voice coil DM. Then, several control algorithms such as the Prandtl-Ishlinskii (PI) hysteresis model-based control algorithm, decoupled control algorithm, and sparse sampling control algorithm are analyzed.【Results】Summarized the work done by Xi'an Technological University in this field, and finally pointed out the future technological breakthroughs and improvement directions in this field.【Conclusion】The research progress on DM and their control algorithm lays the foundation for the development of adaptive optics, enabling its application in more fields and further improving the performance of adaptive optics system. This will help improve imaging quality and drive the development of adaptive optics technology.

[Objective] Metal hydride hydrogen storage reactors serve as core components in solid-state hydrogen storage techniques.During the reversible hydrogen absorption and desorption reactions of metal hydrides, significant heat exchange occurs, leading to uneven temperature distribution within the reactors and resulting in adverse effects on the hydrogen storage performance and service life of the reactors. Therefore, effective thermal management is recognized as one of the key technologies to improve the efficiency and stability of metal hydride hydrogen storage reactors. [Methods] This paper aims to review the research progress in the field of thermal management for metal hydride hydrogen storage reactors both in China and abroad. To this end, an extensive investigation of available literature was conducted to summarize the principle of hydrogen absorption-desorption reactions in metal hydrides. The heat transfer process within hydrogen storage reactors was examined, leading to the division of the heat exchange process into three stages: heat transfer in the hydrogen storage materials; heat exchange between the hydrogen storage materials and the wall surface of the hydrogen storage reactors; heat exchange between the wall surface of the hydrogen storage reactors and the ambient environment. Furthermore, thermal management methods that enhance heat exchange efficiency in each stage were categorized. [Results] Through an analysis of the heat exchange performance in various thermal management methods, this review presents an overview of the research progress in these approaches, including the use of heat exchange tubes, fins, and phase-change materials. The evaluation of hydrogen absorption and desorption rates as crucial metrics allows for a comparison of their advantages and disadvantages. Additionally, the review summarizes the existing challenges in this field and envisions the prospects for future trends in thermal management for metal hydride hydrogen storage reactors. [Conclusion] Different thermal management methods have their pros and cons. Therefore, it is essential to select and optimize specific thermal management methods based on the scale and intentions of metal hydride hydrogen storage reactors, to design efficient and compact thermal management systems. The outcomes of this research lay a foundation for the large-scale and engineering applications of solid-state hydrogen storage techniques.

Objective To investigate the occurrence of chronic postsurgical pain (CPSP) among patients with preoperative COVID-19, and further analyze the risk factors for CPSP. Methods This study was a ambispective cohort study, with subjects from a completed cohort study with follow-up. We included the clinical data of the patients with preoperative COVID-19 who underwent surgery at Peking Union Medical College Hospital from December 1, 2022 to February 28, 2023. Follow-up was conducted up to 6 months postoperatively, with the primary outcome being CPSP. Multivariate Logistic regression analysis was used to analyze the correlation between COVID-19-related exposure indicators and CPSP. Results A total of 4117 surgical patients were included, all of whom had preoperative COVID-19. Among them, 4002 cases had mild symptoms during the acute phase, 62 cases had severe symptoms, and 53 cases were critically ill. At 6th month postoperatively, 1298 cases (31.53%) had long COVID-19 syndrome, and the incidence of CPSP was 5.59% (95% CI: 4.88%-6.28%). After adjusting for confounding factors including age, gender, comorbidities, anesthesia method, and type of surgery, multivariate Logistic regression analysis revealed that critically ill COVID-19 during the acute phase (aOR=3.35, 95% CI: 1.48-7.62, P < 0.001) and presence of long COVID-19 syndrome postoperatively (aOR=2.50, 95% CI: 1.90-3.29, P < 0.001) were associated with CPSP. Conclusions It is clear for the first time that critically ill COVID-19 during the acute phase and the presence of long COVID-19 syndrome postoperatively are the risk factors for CPSP among patients with preoperative COVID-19.

Central α‑synucleinopathy includes Parkinson's disease (PD), dementia with Lewy bodies (DLB) and multiple system atrophy (MSA). The clinical manifestations of these diseases usually overlap, which make the differential diagnosis difficult in clinical practice. Autonomic dysfunction is a common feature of these diseases. Recent studies indicated the autonomic dysfunction would contribute to our further understanding of central α‑synucleinopathy. This article reviews the value of autonomic dysfunction in the predictive diagnosis, differential diagnosis and prognosis of the above diseases, to help clinical practice.

Objective To investigates the protective effect of mitochondrial division inhibitor, Mdivi-1, on intestinal barrier function in septic rats. Methods A total of 160 SD rats were randomly and equally divided into sham operation group, sepsis group (established by cecal ligation and puncture), conventional treatment group, and Mdivi-1 treatment group. The rats from the conventional treatment group were given lactated Ringer's solution (35 mL/kg) at an infusion rate of 3 mL/h according to the guidelines for sepsis treatment, and those from the Mdivi-1 treatment group were added with intravenous administration of 1 mg/kg Mdivi-1 for resuscitation on the basis of conventional treatment. After 2 h of resuscitation, intestinal barrier function, intestinal expression of zonula occludes-1 (ZO-1), pathological changes in small intestine, serum concentrations of inflammatory cytokines (including TNF-α and IL-1β), mean arterial blood pressure (MAP), survival time and 72-hour survival rate were observed. Intestinal epithelial cells (IECs) were employed to observe the effect of Mdivi-1 on the expression of ZO-1 under the simulation of LPS. Results The septic rats had significantly increased intestinal permeability, D-lactate level and serum concentrations of TNF-α and IL-1β when compared with those of the sham operation group (P < 0.05), and showed intestinal villus rupture, glandular atrophy, and great amount of inflammatory cells in pathological observation. Conventional treatment resulted in slightly decreased serum concentrations of TNF-α and IL-1β, intestinal permeability, and D-lactate level (P>0.05), and mildly improved intestinal villus disturbance when compared with the sepsis group. Mdivi-1 treatment combined with conventional treatment significantly decreased serum concentrations of TNF-α and IL-1β, intestinal permeability, and D-lactate level in comparison with septic rats (P < 0.05), and pathological results showed clear intestinal villus structure and significantly improved inflammatory cell infiltration. The immunohistochemical results of intestinal tissue showed that ruptured tight junction was observed after sepsis, and Mdivi-1 treatment significantly improved the tight junction rupture. At the cellular level, the expression level of ZO-1 between IECs was significantly decreased after LPS stimulation (P < 0.05), and Mdivi-1 treatment increased LPS-induced decrease in ZO-1 expression (P < 0.05). Conclusion Conclusion Mdivi-1 has a protective effect on intestinal barrier function in septic rats, which may be through its regulating ZO-1 expression.

Fungal diseases form perforated disease spots in tobacco plants, resulting in a decline in tobacco yield and quality. The present study investigated the antagonistic effect of Bacillus subtilis CTXW 7-6-2 against Rhizoctonia solani, its ability to promote the growth of tobacco seedlings, and the expression of disease resistance-related genes for efficient and eco-friendly plant disease control. Our results showed that CTXW 7-6-2 had the most vigorous growth after being cultured for 96 h, and its rate of inhibition of R. solani growth in vitro was 94.02%. The volatile compounds produced by CTXW 7-6-2 inhibited the growth of R. solani significantly (by 96.62%). The fungal growthinhibition rate of the B. subtilis CTXW 7-6-2 broth obtained after high-temperature and no-high-temperature sterile fermentation was low, at 50.88% and 54.63%, respectively. The lipopeptides extracted from the B. subtilis CTXW 7-6-2 fermentation broth showed a 74.88% fungal growth inhibition rate at a concentration of 100 mg/l. Scanning and transmission electron microscopy showed some organelle structural abnormalities, collapse, shrinkage, blurring, and dissolution in the R. solani mycelia. In addition, CTXW 7-6-2 increased tobacco seedling growth and improved leaf and root weight compared to the control. After CTXW 7-6-2 inoculation, tobacco leaves showed the upregulation of the PDF1.2, PPO, and PAL genes, which are closely related to target spot disease resistance. In conclusion, B. subtilis CTXW 7-6-2 may be an efficient biological control agent in tobacco agriculture and enhance plant growth potential.

BackgroundChronic insomnia is characterized by a prolonged and recurrent course. The efficacy of repeated transcranial magnetic stimulation （rTMS） as a physical therapy method to improve sleep quality remains inadequately supported by evidence， particularly regarding its relationship with personality traits.ObjectiveTo explore the efficacy and influencing factors of rTMS in the treatment of chronic insomnia， and to provide insights into its therapeutic potential.MethodA total of 46 patients who met the diagnostic criteria for chronic insomnia according to the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）， and were treated at the Third Hospital of Mianyang from September 2022 to September 2023 were selected. Prior to treatment， participants underwent assessments using the Eysenck Personality Questionnaire （EPQ）， Hamilton Depression Scale-17 item （HAMD-17） and Hamilton Anxiety Scale （HAMA）. The Pittsburgh Sleep Quality Index （PSQI） was used to assess sleep quality before treatment， at the end of the second week of treatment and one week post-treatment.ResultsAt the end of the second week of treatment， patients exhibited significantly improved total PSQI score and subscale scores related to subjective sleep quality， sleep latency， sleep duration， sleep efficiency， sleep disturbance and daytime dysfunction （t=4.755~13.361， P

In the novel power system of urban grid, the multiple resources increase and the data collection becomes more difficult, which lead to a higher random missing data rate. It is difficult to meet the demand for refined analysis and decision making. For the frequent missing data problem in the distribution network, a new missing data filling method for power systems based on fluctuation cross-correlation analysis (FCCA) and generative adversarial network (GAN) is proposed in this paper. Firstly, a multi-dimensional feature extraction method for strongly correlated grid data is proposed by fusing FCCA. Secondly, based on kernel principal component analysis (KPCA), the multi-dimensional feature dataset is dimensionally reduced. Finally, an improved GAN structure is designed, which integrates multi-dimensional features of power grid equipment data to reconstruct low dimensional vectors. The missing data is accurately filled in, and the integrity and availability of the new power system measurement data is improved. The algorithm is validated using real grid data, and the proposed method is also tested in a city grid. The results show that the proposed method has higher filling accuracy than the traditional data filling methods. Therefore, it is conformed that in the case of continuous and significant data environment, integrating strong correlation features for data filling has significant advantages in improving the integrity and availability of measurement data.

To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module. The specific method is to split the Inception V3 model with ImageNet pre-trained weight parameters into blocks, embed CBAM modules after each Inception block, and reassemble them into a new model, embedding a total of 11 CBAM modules. This new model is used for transfer learning of Food-101 food image dataset padded and scaled to 299 pixels in both length and width, with the highest accuracy of 82.01%. Compared with the original Inception V3 model, the CBAM module can effectively improve the model's feature extraction and classification capabilities. At the same time, transfer learning can significantly improve the accuracy rate and shorten the training time compared with the training from scratch. Compared with several other mainstream convolutional neural network models, the results show that this new model has higher recognition accuracy and can provide strong support for food image classification and recognition.

The study evaluates Bangladesh–China relations through the ‘win-win cooperation’ lens and concludes with a ‘NOISE’ (Needs-Opportunities-Improvements-Strengths-Exceptions) analysis. Bangladesh, a South Asian developing nation, has maintained a strategic partnership with Beijing since the establishment of their diplomatic ties. However, the relationship gained exceptional momentum after Bangladesh’s inclusion in the Belt and Road Initiative (BRI). Bangladesh’s need for growth-necessary financing and China’s massive foreign investment outlook have contributed to the growth of their economic engagements. The analysis suggests that the Bangladesh–China relationship exhibits ‘win-win cooperation’ dynamics. The study identified the significant trade gap, loan agreements, and disbursement delays, along with others, challenging the solid Bangladesh–China bilateral economic interactions. The Rohingya refugee crisis resolve and geopolitical competition among major powers are two non-bilateral issues that could potentially impact future Dhaka–Beijing relations. Overcoming the existing barriers could position Bangladesh–China relations as a model for smaller-major power bilateral relations, particularly for developing nations. It is a desk research by design. The findings of this study may provide insights to policymakers in addressing the existing barriers to meet future needs.

To enhance the efficiency and sustainability, technical preparations were made for eliminating the Temperature, Sample, Oxygen test of basic oxygen furnace (BOF) steelmaking process in this work. Utilizing data from 13,528 heats and state-of-the-art (SOTA) machine learning (ML) and deep learning algorithms, data-driven models with different types of inputs were developed, marking the first use of time series data (off-gas profiles and blowing practice related curves) for BOF steelmaking’s endpoint prediction, and the tabular features were expanded to 45. The prediction targets are molten steel’s concentrations of phosphorus (Endpoint [P], %) and carbon (Endpoint [C], %), and temperature (Endpoint-Temp, °C). The optimal models for each target were implemented at a Hesteel Group’s BOF steelmaking facility. Initially, SOTA ML models (XGBoost, LightGBM, Catboost, TabNet) were employed to predict Endpoint [P]/[C]/Temp with tabular data. The best mean absolute errors (MAE) achieved were 2.276 × 10−3% (Catboost), 6.916 × 10−3% (Catboost), and 7.955°C (LightGBM), respectively, which surpassed the conventional models’ performance. The prediction MAEs of the conventional models with the same inputs for Endpoint [P]/[C]/Temp were 3.158 × 10−3%, 7.534 × 10−3%, and 9.150°C (Back Propagation neural network) and 2.710 × 10−3%, 7.316 × 10−3%, and 8.310°C (Support Vector Regression). Subsequently, predictions were explored to be made using SOTA time series analysis models (1D ResCNN, TCN, OmniScaleCNN, eXplainable Convolutional neural network (XCM), Time-Series Transformer, LSTM-FCN, D-linear) with the original time series data and SOTA image analysis models (Pre-activation ResNet, DenseNet, DLA, Dual path networks (DPN), GoogleNet, Vision Transformer) with resized time series data. Finally, the concat-model and the paral-model architectures were designed for making predictions with both tabular data and time series data. It was determined that the concat-Model with TCN and ResCNN as the backbone exhibited the highest accuracy. It’s MAE for predicting Endpoint [P]/[C]/Temp reaches 2.153 × 10−3%, 6.413 × 10−3%, and 5.780°C, respectively, with field test’s MAE at 2.394 × 10−3%, 6.231 × 10−3%, and 7.679°C. Detailed results of the importance analysis for tabular data and time series are provided.

High pressure technology has been utilized as an important means to regulate phase structure and improve the properties/performance of alloys. The CALPHAD approach based on accurate databases has great advantages in efficient alloy design. However, the application of CALPHAD in high pressure field is hindered by the lack of reliable thermodynamic model/database for multicomponent alloys under pressure. In this paper, a phenomenologically thermodynamic model for multicomponent alloys under pressure is first developed by separating the contribution into two parts, one is at atmosphere pressure and the other is caused by an increase in pressure, and then successfully applied to establish the pressure-dependent thermodynamic database of ternary Al–Si–Mg system. The calculated phase equilibria/thermodynamic properties of pressure dependence in related alloys are in good agreement with the limited experimental data in the literature, validating the reliability of the obtained thermodynamic database. After that, a CALPHAD design framework for pressurized solidified alloys is proposed by integrating the present pressure-dependent thermodynamic model/database, CALPHAD-type calculations/simulations, and previously developed high-throughput calculation platform Malac-Distmas. Such a framework is finally applied to predict the pressurized solidification and high pressure heat treatment behaviors in different Al–Si–Mg alloys. The predicted microstructure, phase transitions and phase equilibria after pressurized solidification and high pressure heat treatment are consistent with the experimental data. Furthermore, the insights into effect of pressure on the thermodynamic essence of alloys are gained, which may definitely facilitate the advancement of alloy design under high pressure technology.

ObjectiveThe choice of neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC) is controversial. This study aims to provide a basis for clinical treatment selection by establishing a predictive model for the efficacy of neoadjuvant immunochemotherapy (NICT).MethodsA retrospective analysis of 30 patients was conducted, divided into Response and Non-response groups based on whether they achieved major pathological remission (MPR). Differences in genes and immune microenvironment between the two groups were analyzed through next-generation sequencing (NGS) and multiplex immunofluorescence (mIF). Variables most closely related to therapeutic efficacy were selected through LASSO regression and ROC curves to establish a predictive model. An additional 48 patients were prospectively collected as a validation set to verify the model’s effectiveness.ResultsNGS suggested seven differential genes (ATM, ATR, BIVM-ERCC5, MAP3K1, PRG, RBM10, and TSHR) between the two groups (P < 0.05). mIF indicated significant differences in the quantity and location of CD3+, PD-L1+, CD3+PD-L1+, CD4+PD-1+, CD4+LAG-3+, CD8+LAG-3+, LAG-3+ between the two groups before treatment (P < 0.05). Dynamic mIF analysis also indicated that CD3+, CD8+, and CD20+ all increased after treatment in both groups, with a more significant increase in CD8+ and CD20+ in the Response group (P < 0.05), and a more significant decrease in PD-L1+ (P < 0.05). The three variables most closely related to therapeutic efficacy were selected through LASSO regression and ROC curves: Tumor area PD-L1+ (AUC= 0.881), CD3+PD-L1+ (AUC= 0.833), and CD3+ (AUC= 0.826), and a predictive model was established. The model showed high performance in both the training set (AUC= 0.938) and the validation set (AUC= 0.832). Compared to the traditional CPS scoring criteria, the model showed significant improvements in accuracy (83.3% vs 70.8%), sensitivity (0.625 vs 0.312), and specificity (0.937 vs 0.906).ConclusionNICT treatment may exert anti-tumor effects by enriching immune cells and activating exhausted T cells. Tumor area CD3+, PD-L1+, and CD3+PD-L1+ are closely related to therapeutic efficacy. The model containing these three variables can accurately predict treatment outcomes, providing a reliable basis for the selection of neoadjuvant treatment plans.

ObjectivesLevofloxacin is widely used because of its broad-spectrum antimicrobial activity and convenient dosing schedule. However, the relevance of its use in children remains to be investigated. The purpose of this study is to investigate the efficacy and safety of levofloxacin use in children with severe infections.MethodsWe conducted a retrospective observational study of patients

Objective To investigate the protective effect of dexmedetomidine on pulmonary edema in rats with hemorrhagic shock after exposure to a plateau environment. Methods A total of 280 SD male rats (10 weeks old, 200~220 g) were randomly divided into 4 groups: the plateau control (sham) group, the hemorrhagic shock after exposure to the plateau environment (HS) group, the lactated Ringer's resuscitation (LR) group, and the dexmedetomidine+lactated Ringer's resuscitation (DEX+LR) group.Using a low-pressure hypoxic chamber to simulate 5 000 m altitude, the rats have stayed the chamber for 48 h to accept pretreatment, injecting oleic acid treatment via the tail vein.After 0.5 h of induction of oleic acid, the rats were slowly drawn blood via the femoral artery (40% to 50% of the blood volume) to establish a model of hemorrhagic shock after exposure to the plateau environment.The effect of dexmedetomidine on pulmonary vascular permeability was observed by changes in lung water content, pulmonary microvascular permeability and alveolar lavage fluid protein concentration after prophylactic administration of dexmedetomidine; The effect of dexmedetomidine on respiratory function was observed by measuring respiratory rate and tidal volume; Pathological changes of lung tissue was detected by HE staining; Blood gas analysis was used to detect the effect of dexmedetomidine on arterial blood gases and survival rate. Results Compared with the sham group, the lung water content, pulmonary microvascular permeability and alveolar lavage fluid protein concentration of the rats in the HS group increased (P < 0.05).The respiratory rate increased (P < 0.05), and the tidal volume and minute ventilation decreased (P < 0.05). Results of HE staining showed that the alveolar wall was thickened, and the lumen of alveoli was partially narrowed, with infiltration of inflammatory cells. Results of arterial blood gas suggested there was acidosis, and rats were in a hypoxic state (P < 0.05).Compared with the HS group, the rats in the LR group had aggravated pulmonary oedema.HE staining showed there was a fusion of alveolar sacs, lung tissue structure was destroyed and appeared obvious inflammatory cell infiltration.Respiratory rate and tidal volume increased, and arterial blood gas got deteriorated (P < 0.05).Dexmedetomidine significantly improved the lung function of rats with hemorrhagic shock pulmonary oedema after exposure to the plateau environment, and there was a decreased in pulmonary microvascular permeability, lung water content and alveolar lavage fluid protein concentration, compared with the lactated Ringer's solution resuscitation group (P < 0.05).The tidal volume, respiratory rate and minute ventilation of the rats tended to be higher than that of the plateau control group (P < 0.05).HE staining results showed that the alveolar structure tended to be intact, and the exudation in the alveolar lumen was reduced or even disappeared.Arterial blood gas analysis suggested that the level of acidosis was improved (P < 0.05), which eventually improved the survival rate. Conclusion Pulmonary edema is more likely to be induced during the resuscitation of rats with hemorrhagic shock after exposure to the plateau environment, and prophylactic administration of dexmedetomidine (10 μg/kg) is effective in preventing the development of pulmonary oedema.

Guizhou has a large amount of coal resources, which have been mined for a long period of time, resulting in the formation of a large area of goaf. There is a large amount of coalbed methane resources in the goaf, but the exploitation and utilization rate are low, mainly because of the complex ground conditions, the large longitudinal span of coal measure strata, and the thin development of coal seam in Guizhou. When extracting pressure relief gas from overlying coal seam and coalbed methane from goaf using drilling wells passed through goaf, it is difficult to form wells using conventional drilling technology and is prone to complex underground accidents, which leads to less exploitation and utilization of gob coalbed methane resources in Guizhou. In order to extract pressure relief gas from the overlying coal seam and make full use of the goaf coalbed methane resources, it is particularly important to explore the longitudinal development characteristics of the superimposed “three zones” of overlying coal strata and the stress variation law of the bottom bulge coal strata after multi-seam mining. Taking Shanjiaoshu Mine, Panjiang mining area, Guizhou as an example, a directional test well passing through goaf with multiple coal seams was carried out. The results shown that the implementation of directional well to extract pressure relief gas from overlying coal seam and underlying goaf coalbed methane under special geological conditions in Guizhou had great economics. Meanwhile, through the successful implementation of the well, the longitudinal development characteristics of the superimposed “three zones” in Panjiang mining area after multi-seam mining were firstly verified. Secondly, the key geological and engineering technical parameters of coalbed methane extraction from the underlying coal seam in the coal mining goaf were also successfully obtained, and the utilization of coalbed methane resources in the goaf had been maximized. The project provided valuable engineering experience and technical support for the subsequent development of extracting pressure relief gas in gob and coalbed methane from underlying coal seam in Panjiang mining area and even in the whole Guizhou region.

The traditional hulling of Camellia oleifera fruit is mainly manual, with high work intensity, high labor cost and low production efficiency. Mechanized hulling is the inevitable trend of modernization of Camellia oleifera industry. The existing hulling device of Camellia oleifera fruit has poor universality, low hulling rate and high seed kernel breakage rate, which affects the popularization of mechanized hulling technology of Camellia oleifera. By comparing the existing hulling methods of Camellia oleifera, the structure and working principle of each hulling device were analyzed, their advantages and disadvantages were summarized, and their development direction was prospected.

Polarization processors with versatile functionalities are needed in optical systems, which use or manipulate polarized light. In this paper, we propose and realize an integrated polarization processor based on a coherent 4-port micro-ring resonator. The arbitrary unknown polarization state is input to the polarization processor via a 2-dimensional grating coupler (2DGC), which serves as a polarization beam splitter. The coherent 4-port micro-ring resonator (MRR) operates as a unitary processor and is formed by one crossbar micro-ring resonator and two thermally tunable phase shifters, one of which tunes the micro-ring while the other tunes the coherent interference between the two inputs from the 2DGC. The 4-port system can be used to control the input polarization states that appear at the two output ports and, therefore, can be used to implement a multi-function polarization processor, including polarization descrambler, polarization switch, polarizers, and polarization analyzer (both division of space (DOS) and division of time (DOT)). In this paper, we experimentally demonstrate the use of coherent 4-port MRR for polarization mode switching and for polarization mode unscrambling. The polarization unscrambler was capable of separating two polarization-multiplexed 40 GHz data lanes from the input fiber with crosstalk levels below −21 dB and is suitable for use in the receiver for polarization-multiplexed direct-detection optical communications systems. The same photonic circuit may be used as a polarization analyzer, either as a DOS polarization analyzer or a DOT polarization analyzer. The DOS polarization analyzer measured the polarization with measured deviation of the orientation angle (2ψ) varying from −0.5° to 1.3°and deviation of ellipticity angle (2χ) varying from −0.98° to 7.27°. The DOT polarization analyzer measured the polarization with a deviation of the orientation angle (2ψ) that varied from −2.93° to 3.49° and deviation of ellipticity angle (2χ) that varied from −3.5° to 3.05°.

The research object is a two-speed double clutch automatic transmission (2DCT) of pure electric vehicles. Firstly, the modal simulation and test of the transmission housing are carried out to verify the accuracy of the finite element model of the housing. Then, considering the working efficiency of the motor, through the established dynamic model of the transmission system, the variation law of the transmission error of the gear pair under different torque conditions is obtained. The dynamic force of the bearing is further analyzed and taken as the boundary condition to study the vibration characteristics of the housing. By analyzing the modal participation factor (MPF), the modal order which contributes greatly to the shell vibration is determined. Finally, the vibration acceleration simulation and test of the obvious vibration area under multiple working conditions not only verify the accuracy of the dynamic model, but also further clarify the vibration characteristics of the 2DCT housing.

Water resources are basic natural and economic resources of strategic significance and are vital for the high-quality agricultural development and ecological protection of the Yellow River Basin. To implement the national strategy of ecological protection and high-quality development in the Yellow River Basin, it is significant to improve the use efficiency and allocation of water resources in the basin. This study focuses on the high-efficiency utilization and sustainable development of agricultural water resources, adopts the research methods of systematic hydrology, and adheres to an all-encompassing approach to food. Based on the theories and technologies for the optimal allocation of water resources in the process of high-quality agricultural development, it explores the mechanism for the hydrologic process of farmlands and investigates the challenges faced in terms of water use efficiency improvement, optimal allocation of agricultural and ecological water resources, collaborative optimization of water, food, and ecosystem, and construction of farmland information systems. Countermeasures are further proposed. This study reviews the agricultural water-saving and water resource allocation capabilities of the whole Yellow River Basin from a water cycle perspective and is expected to provide basic support for the optimal allocation of land and water resources, high-quality agricultural development, and ecological protection collaboration in the Yellow River Basin.

Abstract Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The data used in the current study was downloaded from TCGA and GEO databases. Differentially expressed metastasis-related genes were identified and the biological functions were implemented. Kaplan–Meier analysis univariate, and, multivariate Cox regression analyses were performed to identify robust prognostic biomarkers, followed by construction of the risk model and nomogram. Gene set enrichment analysis was performed to identify pathways enriched in low- and high-risk groups. POLR2J3 and MYH11 were treated as prognostic biomarkers in LSCC and the risk model was constructed. Receiver operating characteristic curves revealed the good performance of the risk model. A nomogram with high accuracy was constructed, as evidenced by calibration and decision curves. Moreover, we found that the expressions of POLR2J3 and MYH11 was significantly higher in metastasis tissues compared with those in non-metastasis tissues by RT-qPCR and IHC. Our study identified novel metastasis-related prognostic biomarkers in LSCC and constructed a unique nomogram for predicting the prognosis of LSCC patients. Moreover, we explored the related mechanisms of metastasis-related genes in regulating LSCC.

The memorial landscape of fear is a precious heritage of human memory. However, the sense of spatiotemporal distance and non-experience of disastrous events may cause a negative geographical imagination of the commemorative landscape of the site, making its social meaning face a forgotten predicament continually. By applying the grounded theory, this research aims to explore the process and mechanism of constructing a geographical imagination of the sacredness of memorial landscapes of fear under media discourse. Taking the Memorial Hall of the Victims of the Nanjing Massacre as a case study, the results indicate that: (1) online media have expanded the memory of the Nanjing Massacre into a broader spatial and temporal context. In space, the memory of the Nanjing Massacre gradually rises from place memory to the national memory, and eventually to global memory. In time, the memory of the Nanjing Massacre has evolved from a "national shame" in the framework of contemporary historical narratives to a textbook of suffering in the history of human development. In addition, while the media narrated the macroscopic memories of the Nanjing Massacre, they focused on the awakening and transmission of individual memories at the microscopic level, evolving from narrating macroscopic history to interpreting the meaning of microscopic life. (2) Through naming norms, legal exaltation, symbolic construction, and ritual interaction, the state and the media have constructed the Nanjing Memorial Hall entirely as a sacred memorial site for peace and a communication position for the national image in the new era, achieving the transformation from a landscape of fear that triggers negative geographical imagination to a secular sacred space. (3) The memorial ceremony played a significant role in linking subject, memory, and space in the process of constructing the sacredness of the Nanjing Memorial Hall. By participating in memorial rituals, the public connects themselves to memory and collective identity, generating a strong sense of mission and meaning. The contributions of this study are mainly reflected in the following three aspects: First, it deepens the study of the landscape of fear, a special cultural landscape that carries negative emotions of people and places and helps solve the dilemma that the memorial landscape of fear and its social meaning is constantly facing forgetfulness. Second, this study explores the media's and the public's (i.e., "author") construction of the geographical imagination of the sacredness of the memorial landscape of fear and the public's (i.e., "reader") deconstruction of imagination, expanding the scope of geographical imagination research from a micro perspective. Finally, this study explores the role of national memorial ceremonies in constructing the sacredness of memorial landscapes of fear, thus expanding the study of sacred spaces, mostly focusing on religious rituals. These findings are important for the transmission of collective memory and the construction of national identity.

The ongoing evolution of digital technology significantly transforms the format of film and television media, simultaneously diversifying the training modes and requirements for media professionals. In this paper, the comprehensive characteristics of film and television art media are analyzed, and specific manifestations of cultural change in the form of film and television art media are identified. At the same time, combined with the cultural change manifestations, it helps media talents to find their role positioning, clarifies the digital literacy structure of media talents, and establishes a double-loop digital cultivation model of the connotation and form change of film and television art media. To further explore the digital cultivation of media talents, a quantitative analysis of data was conducted on the market development trend and the cultivation of media talents. It was found that the overall market demand for media talents increased by 65.67% between 2015 and 2023, but the employment rate of media talents decreased by 3.85 percentage points between 2016 and 2020. The χ2 -test value of digital training of media talents is 26.317, which has a very significant difference at the 1% level. The digital cultivation mode of media talents based on digital technology can effectively enhance the satisfaction of media talents, better meet the demand for talents in the film and television art media market, and help the media industry develop with high quality.

BackgroundInsomnia disorder has become a common disease in the current society. Cognitive Behavior Therapy for Insomnia （CBTI） is one of the non-drug treatment methods for insomnia disorder， but relevant studies of its effect on sleep quality and cognitive function of patients with insomnia disorder are limited.ObjectiveTo explore the effects of CBTI on sleep quality and cognitive function in patients with insomnia disorder， so as to provide references for non-drug treatment of insomnia disorder.MethodsA total of 47 patients with insomnia disorder were recruited as the study subjects. They all met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） and have visited Sichuan Mental Health Center from January 2021 to October 2022. The patients underwent CBTI for 6 weeks. Before the treatment， depression and anxiety symptoms were assessed using Hamilton Depression Scale-24 item （HAMD-24） and Hamilton Anxiety Scale （HAMA）. Sleep status and cognitive function were assessed using Pittsburgh Sleep Quality Index （PSQI） and Montreal Cognitive Assessment （MoCA） before and 6 weeks after the treatment. Spearman correlation analysis was used to examine the correlation between the reduction of PSQI score and the increase of MoCA score after treatment.ResultsAfter the 6-week treatment， the factor scores and total score of PSQI across 6 subscales （the sleep quality， sleep onset time， sleep time， sleep efficiency， sleep disorder and daytime dysfunction） were lower than those before the treatment， and the score differences were of statistical significance （t=5.569~15.290， P

In this study, the solution of the Neumann problem associated with the CR Yamabe operator on a subset Ω\Omega of the CR manifold S3{{\mathbb{S}}}^{3} bounded by the Clifford torus Σ\Sigma is discussed. The Yamabe-type problem of finding a contact form on Ω\Omega which has zero Tanaka-Webster scalar curvature and for which Σ\Sigma has a constant pp-mean curvature is also discussed.

Objective To investigate the influencing factors related to long ⁃ term prognosis in patients with severe tuberculous meningitis (TBM). Methods One hundred sixty⁃three patients with severe TBM admitted to Tianjin Haihe Hospital from June 2012 to December 2019 were included. After one year of anti⁃tuberculous therapy, the prognosis of the patients was evaluated by modified Rankin Scale (mRS). Univariate and multivariate stepwise Logistic regression analyses were used to analyze the influencing factors of long ⁃ term dismal prognosis of severe TBM. The predictive value was evaluated by receiver operating characteristic (ROC) curve. Results In the dismal prognosis group (mRS > 2, n = 68), patients' age (t = ⁃ 5.884, P = 0.000), hypertension (χ2 = 15.769, P = 0.000), coronary heart disease (adjusted χ2 = 6.785, P = 0.009), limb weakness (χ2 = 9.544, P = 0.002), hydrocephalus (χ2 = 23.004, P = 0.000), cerebral infarction (χ2 = 17.417, P = 0.000), cerebrospinal fluid (CBF) lactic acid level (Z = ⁃ 2.405, P = 0.016) were higher than those in favourable prognosis group (mRS ≤ 2, n = 95), while Glasgow Coma Scale (GCS) score on admission was lower than that in favourable prognosis group (Z = ⁃ 6.750, P = 0.000). Logistic regression showed that old age (OR = 1.064, 95%CI: 1.031-1.098; P = 0.000) and high CSF lactic acid level (OR = 1.404, 95%CI: 1.065-1.852; P = 0.016) were risk factors for long⁃term dismal prognosis of severe TBM, and high GCS score on admission was a protective factor for long⁃term favourable prognosis of severe TBM (OR = 0.539, 95%CI: 0.405-0.716; P = 0.000). ROC curve showed the cut ⁃ off value of age for predicting long ⁃ term dismal prognosis of severe TBM on admission was 48.50 years, the area under the curve (AUC) was 0.743 (95%CI: 0.665-0.822, P = 0.000), the sensitivity was 63.20% and the specificity was 76.80%. The cut⁃off value of GCS score was 12.50, the AUC was 0.802 (95%CI: 0.732-0.871, P = 0.000), the sensitivity was 58.80% and the specificity was 86.30%. The cut⁃off value of lactic acid level in CSF was 6.99 mmol/L, the AUC was 0.611 (95%CI: 0.517-0.704, P = 0.016), the sensitivity was 42.60% and the specificity was 91.60%. The AUC of the combined application of the 3 indexes was 0.892 (95%CI: 0.841-0.944, P = 0.000), the sensitivity was 80.90% and the specificity was 88.40%, which showed that the prediction efficiency was better than that of a single index. Conclusions Advanced age and high lactic acid level in CBF are risk factors for dismal long⁃term prognosis of severe TBM. High GCS score on admission is a protective factor. Clinicians should focus on these factors to improve the prognosis of patients.

Objective To compare the diagnostic efficacy of ultrasound and inverted X-ray in differentiating high and intermediate types of male anorectal malformations (ARMs). Methods A fully paired diagnostic accuracy study was conducted on 146 male children with intermediate/high type ARMs who were treated in our hospital from March 2013 to March 2022. According to their postoperative diagnosis after anorectal plasty, 55 cases (including 12 with bladder-neck fistula and 43 with urethral-prostatic fistula) were assigned into high type group and 91 cases (including 65 with urethral-bulbar fistula and 26 without fistula) into intermediate type group. The accuracy, sensitivity, specificity, and area under the curve (AUC) were used as evaluation indicators to compare the diagnostic efficacy of 2 examinations and the optimal diagnostic cutoff values by receiver operating characteristic (ROC) curve analysis. And the diagnostic efficacy of ultrasound and inverted X-ray was then compared in different time periods after birth. Results Both examinations effectively differentiated high and intermediate types of male ARMs (P < 0.05). The ROC curve analysis showed that the AUC of ultrasound (0.835, 95%CI: 0.764~0.891) was higher than that of inverted X-ray (0.759, 95%CI: 0.681~0.826), though without significant difference (P=0.061). The cut-off value of ultrasound (15.0 mm) was shorter than that of inverted X-ray (24.0 mm). The diagnostic efficacy of ultrasound (0.940, 95%CI: 0.799~0.993) was significant higher than that of inverted X-ray (0.758, 95%CI: 0.578~0.890) when inspection time was longer than 48 h after birth (P=0.032). Conclusion Both ultrasound and inverted X-ray can differentiate intermediate and high type ARMs in male neonates. Ultrasound is more recommended for the neonates older than 48 h.

Aiming at the problems of slagging and high temperature corrosion of water wall in a 1 000 MW ultra-supercritical double tangential boiler, the mechanism of slagging and high temperature corrosion of boiler was analyzed by X-ray diffraction (XRD) and X-ray fluorescence (XRF).The results show that the presence of sodium and calcium in coal reduces the ash melting point of coal, causing boiler slagging. Sulfide-type high temperature corrosion is the main type of high temperature corrosion of the boiler. Through coal blending optimization and air distribution adjustment, the coal quality feeding into the furnace and the air distribution mode of the burner were optimized. The results show that selecting low-sulfur and low-slagging coal for blending can effectively alleviate the problem of slagging in the furnace. The increase of the total air volume of the boiler and the reasonable adjustment of the secondary air distribution of the burner can effectively reduce the concentration of the reducing atmosphere in the furnace, and alleviate the problem of high temperature corrosion in the furnace. The prediction results of boiler corrosion tendency by numerical simulation method show that the high-temperature corrosion should be further prevented in the hot corner area of the furnace by adding adherent wind or water wall spraying.

Objective: This study aimed to investigate the quality changes during the fermentation of sauerkraut without salt and inoculated with lactic acid bacteria and during low-temperature storage. Methods: The basic physicochemical indexes and quality changes of sauerkraut during fermentation were analyzed. Results: The unsalted sauerkraut reached maturity at 5 d of fermentation and the pH, nitrite content, reducing sugar content and vitamin C content decreased significantly (P

Objective: This study aimed to improve the preparation efficiency seaweed iodine and reduce the cost. Methods: The ultrasonic assisted technology was applied in kelp extraction section. The ultrasonic-assisted extraction technology of seaweed iodine was optimized by single factor and response surface test design. The amino acid composition in the final product was analyzed by high performance liquid chromatography (HPLC). Results: The optimal extraction conditions were as follows: ultrasonic power 125 W, ultrasonic time 130 min and ultrasonic temperature 57 ℃. Under the control of these conditions, the extraction yield was 39.85%, which was 1.6 times higher than that without ultrasonic-assisted extraction. The seaweed iodine products contained 11 kinds of amino acids, including 2 kinds of essential amino acids and 2 kinds of umami amino acids, and diiodotyrosine was also detected. Conclusion: Ultrasonic-assisted preparation can improve the production efficiency of iodine in seaweed.

China’s urbanization has entered a new stage, and exploring differentiated paths for the green development of industrial towns is significant for solving the contradiction between regional economic development and livable environment. There are many heavy industry enterprises in the industrial towns in Northwest China; these enterprises have high pollution and high energy consumption and rely on mineral resources of these regions. Strengthening the air environment control of industrial buildings with high pollution emissions is expected to enahnce the source-control efficiency of pollution, improve the quality of operation environment, and reduce energy consumption for environmental control of industrial buildings. This study identifies the resource endowment and industrial characteristics of industrial towns in Northwest China and clarifies the basic background of conducting industrial building environmental governance. The key air environment problems in industrial towns in Northwest China are analyzed from the aspects of air environment quality and indoor air quality control in industrial buildings. On this basis, an environmental protection technology system that adapts to the industrial towns in Northwest China is proposed, which includes key technologies for improving the energy efficiency of pollutant source capture, new modes of air distribution with high-ventilation efficiency in the indoor environment, efficient dust removal and purification technologies of pollutants, and comprehensive technologies for energy conservation of industrial buildings. Furthermore, we summarize the applicability and promotion values of the abovementioned innovative technology achievements. New measures at the management and monitoring levels and intelligent technologies can be actively used to enhance the application effect of the mentioned technologies.

The effects of heat extrusion processing of spray forming TiCp/ZA35 composites on extrusion ratio, extrusion specific pressure, extrusion temperature and extrusion rate had been studied by artificial neural network (ANN). The artificial neural network model was created for heat extrusion processing. The input parameters of the ANN model were extrusion ratio, extrusion specific pressure, extrusion temperature and extrusion rate. The output of the ANN model was ultimate tensile strength. The model can be used for the prediction of properties of spray forming TiCp/ZA35 composites as functions of processing parameters. It can also be used for the optimization of the processing parameters. The ANN results are in good agreement with experimental phenomena, the biggest relative error and coincidence rate is less than 1.8% and 0.986. The optimized heat extrusion ratio, extrusion specific pressure, extrusion temperature and extrusion rate are 22415 MPa, 315 ℃ and 8 mm·s−1 respectively, and the tensile strength of spray forming TiCp/ZA35 composites is 486.7 MPa. The reinforcement phase MnAl6 whisker or particle is precipitated in the grains due to the indirect aging treatment of composites by hot extrusion. Dispersion strengthen and dislocation strengthen contribute a combination factor to increase the room temperature mechanical properties of the hot extruded TiCp/ZA35 composites, which is 38.3% higher than that of TiCp/ZA35 composites without heat extrusion.

The classification of surrounding rock stability of coal roadway has important theoretical and practical significance for the design, construction and management of on-site rock mass engineering.This paper selected seven key indexes that affect the surrounding rock stability of coal roadway, collected the samples through field cases collection, questionnaires and literature measurement, and established the surrounding rock stability classification database.By drawing on six machine learning methods, this study established the classification prediction models of surrounding rock stability of coal roadway accordingly.Through model calculation, it is concluded that the Neural Network and the improved Support Vector Machine model have higher prediction accuracy.The model is applied to the actual project of Huozhou mining area.Results show that the neural network and the improved support vector machine methods have high prediction accuracy and good reliability.

Effective water chemistry technology can inhibit the radiolysis of primary coolants and material corrosion in pressurized water reactors (PWRs). Research and operational experience suggest that methanol is a potential additive for the coolant transformation of PWRs. However, due to a lack of comprehensive understanding regarding the behavior and mechanism of methanol radiolysis in primary circuit scenarios, supporting methanol-based water chemistry control is challenging. This study initially outlines the importance of methanol radiolysis. It then summarizes global research progress on methanol radiolysis and its aqueous solution. Additionally, it discusses the yield of methanol radiolysis products and free-radical reactions at room temperature, as well as the radiolysis of methanol aqueous solutions under primary circuit conditions and its impact on material corrosion, are then discussed in detail. Finally, the study offers suggestions for future research on the radiolysis of methanol aqueous solutions.

Objective·To investigate the safety and effectiveness of laparoscopic ultrasound-guided microwave ablation for phrenic surface liver tumors, as well as the specific experience of its use.Methods·A retrospective analysis was performed on 13 cases of diaphragmatic liver tumor who received laparoscopic ultrasound-guided microwave ablation in Zhejiang University of Traditional Chinese Medicine Affiliated Wenzhou Hospital from November 2019 to April 2021. The falciform ligament, coronal ligament and deltoid ligament were severed according to the need, and gauze pads were filled on the diaphragmatic surface or visceral of the liver. Laparoscopic ultrasound scan of the liver was performed to determine the location of the tumor and whether there were new tumors. Meanwhile, ultrasound contrast agent was used to perform multi-point and multi-angle ablation of the tumor after biopsy. During the process of needle withdrawal, laparoscopic direct observation was performed to observe whether there was bleeding, and needle path ablation was performed. After ablation, contrast-enhanced ultrasound was repeated and additional ablation was performed if necessary. Perioperative complications were observed and preoperative and postoperative blood biochemical indexes, white blood cells level and postoperative MRI manifestations were compared.Results·All the 13 patients were successfully treated with laparoscopic ultrasound-guided microwave ablation. There were no serious complications such as diaphragm injury, arrhythmia, pneumonia, pneumothorax, massive bleeding, biliary fistula and intestinal injury. The white blood cells before surgery [(4.9±1.0)×109/L] and day 2 after surgery [(8.7±2.5)×109/L] were significantly different (P=0.000). The glutamic-pyruvic transaminase [15.0 (22.0, 77.5) U/L] before surgery and day 2 after surgery [69.0 (135.0, 371.0) U/L] were significantly different (P=0.013). One month after the operation, MRI enhancement confirmed that the total necrosis rate of the lesion was 100%.Conclusion·Laparoscopic ultrasound-guided hepatic tumor ablation, which is first performed under laparoscopy, forms a safe isolation zone around the liver through the establishment of pneumoperitoneum, severed ligament, gauze isolation and other methods. Then, under the direct vision of laparoscopic ultrasound probe, the diaphragmatic liver tumors are ablated to achieve a safer and more effective method.

Lightning is one of the main causes of voltage sags in power grid. Accurate estimation of the severity of voltage sags caused by lightning can provide a basis for developing optimal management plans and siting sensitive users. In this paper, a data-driven self-learning estimation method for the severity of voltage sags is proposed. Firstly, based on the mechanism of voltage sags caused by lightning, the parameters involved in mining are selected by the monitoring information in lightning location system and power quality monitoring system. Secondly, the influence of discretization results on the accuracy of rules is reduced, and the number of discretization intervals for different parameters is determined by using discretization evaluation indexes. Then, to solve the problem of low efficiency of mining algorithm when the grid database changes dynamically, the incremental learning-based association rule mining algorithm to continuously update the mined rules, which gives it the ability of self-learning. Finally, a weighted Euclidean distance based on the integrated assignment method is proposed to evaluate the severity of voltage sags in real scenarios. The results of the empirical analysis by monitoring data of a regional power grid and simulation data of IEEE 30-node prove that the method in this paper can accurately mine valuable rules in reality and realize the severity assessment of voltage sags of the concerned nodes.

In order to obtain the energy change rule in coal adsorbing methane process, methane adsorption experiments were carried out with the temperature of 30 ℃, 15 ℃, 0 ℃, -15℃, -30 ℃, -45 ℃ and the initial adsorption pressure of 1 MPa, 1.5 MPa, 2 MPa, 2.5 MPa, 3 MPa by the high and low temperature intelligent adsorption experiment chamber. The results show that increasing the gas injection pressure and decreasing the adsorption temperature are two important factors that affect the increase of temperature variation in the process of methane adsorption; the surface free energy of coal samples with a certain mass decreases and the heat increases before and after methane adsorption, and the difference increases gradually due to the increase of methane pressure; in the process of coal adsorbing methane, either pressure boost or temperature drop will increase the coal temperature variation, it is essentially a phenomenon that methane molecular potential energy of coal surface free energy is converted into heat value to maintain the overall energy balance.

In order to systematically summarize the research results in the field of mine-used gel in China and analyze the future development trend of mining gel, the literature in the field of mine-used gel from 2000 to 2021 in the database of CNKI was searched, and the graphical analysis and outlook of mine-used gel research were conducted with the help of CiteSpace visualization software. The results show that: universities such as China University of Mining and Technology and Xi’an University of Science and Technology are the more active institutions in the research of mine-used gel and play a leading role in the development and application of gel; the keyword clustering can be divided into three aspects of gel types, performance research and practical applications, showing the basic knowledge framework in this field; the research hotspots focus on “graft copolymerization, cross-linking” polymer gel modification technology; biomass gel fire prevention technology will be the future development trend of mine-used gel.

Non-intrusive load monitoring (NILM) technology is only based on the current and voltage information of the main entrance of home power supply to obtain the electrical information of indoor electrical equipment. Improving the accuracy of load identification is of great significance to optimize the energy structure, improve the efficiency of power utilization and reduce energy consumption. Firstly, the normalized current signal is decomposed by using variational mode decomposition (VMD), and then the correlation coefficients between each component and the original current signal are calculated. The two components with the largest correlation coefficients are selected as the load characteristics and input into the trained LSTM neural network for identification. The test results of an example show that the recognition rate of this method is up to 99% on public data set PLAID and 96.6% on laboratory data set, which proves the effectiveness of this method.

A compact and low-cost transceiver front-end module is designed for point-to-point radio communication system in this paper. The transceiver module contains one receive channel, one transmit channel, two groups of LO synthesizers in limited area. The module is implemented using devices with Surface Mount Technology (SMT) and multi-layer PCB for excellent performance, low cost and easy assembly process. This paper firstly introduces the architectures of transceiver front-end, then gives detailed design of key passive and active circuits, and analysis of main performance index. The assembled module is measured, it can transmit more than 20 dBm and receive -60 dBm to -20 dBm RF signal. The output IF signal of receive channel is -10 dBm constantly.

Serotonin, a neurotransmitter that affects brain function, is associated with cancer progression, thus making it a potential biomarker. Despite the increasing efforts and ideas for gold nanoparticle (AuNP)-based colorimetric detection over the years, preparing AuNPs and sensing targets are separate processes, and this incurs more time to operate and produces excess waste. Herein, we report a simple, sensitive, and rapid colorimetric detection method for serotonin based on the in situ formation of AuNP. When only the aptamer is present, it can prevent chloride-induced aggregation of AuNPs because it easily binds to the freshly synthesized AuNPs through its exposed bases to increase the positive charge of the AuNP surfaces. When a complex of serotonin and its aptamer is formed, this complex disturbs the adsorption between aptamers and AuNPs, resulting in reduced stability of AuNPs and easy aggregation of nanoparticles. Therefore, serotonin was measured by color change, consistent with the change in peak intensity in the UV-vis absorption spectrum. The sensor demonstrated good sensitivity with a detection limit of 1 ng/mL (5.7 nM) for serotonin, which is comparable to or better than that of other aptamer-based colorimetric detection methods, further exhibiting the requisite selectivity against possible interferents. These results serve as a basis for developing other biosensors using aptamer-mediated in situ growth of AuNPs.