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Objective To conduct hazard vulnerability analysis(HVA) in a blood bank, aimed to identify high-risk events and optimize emergency management measures. Methods The risk event evaluation index system was established by referring to the Kaiser model and the situation of Guangzhou Blood Center, and risk events were ranked by risk matrix and Borda count. Results The top five events with the highest risk values identified by Kaiser model were information system emergencies (39.61%), extreme weather (38.03%), major public sentiment (37.86%), public health events (37.37%) and policy changes (37.24%). The results of risk matrix and Borda count revealed 1 extremely high-risk indicator as information system emergency, 5 high-risk indicators with the highest risk being major public sentiment, 11 medium-risk indicators with the highest risk being major medical disputes and 1 low-risk indicator as external fires. Conclusion Conducting HVA in combination with the actual situation of blood banks can effectively identify high-risk events and provide theoretical basis for improving emergency management measures.

BackgroundSchizophrenia patients often face high level of stigma and low level of self-esteem， significantly hindering their recovery. Mindfulness-based intervention has proven be effective in reducing stigma and improving self-esteem. However， traditional mindfulness intervention typically involve high costs and require long-term professional involvement.ObjectiveTo explore the effects of blended mindfulness interventions on stigma and self-esteem in patients with stable schizophrenia， so as to provide references for reducing stigma， enhancing self-esteem and promoting recovery.MethodsPatients receiving outpatient treatment at the Third Hospital of Daqing from June 2022 to January 2023， who met the diagnostic criteria for schizophrenia in the International Classification of Diseases， tenth edition （ICD-10） and were in a stable phase， were recruited for the study （n=84）. According to the random number table method， participants were randomly assigned to study group and control group， with 42 cases in each group. Both groups received treatment with the second-generation antipsychotic medications， while the study group additionally received blended mindfulness intervention for 8 weeks， with sessions lasting 45~60 minutes， three times a week. Both groups were evaluated with Five Facet Mindfulness Questionnaire （FFMQ）， Internalized Stigma of Mental Illness Inventory （ISMI） and Rosenberg Self-Esteem Scale （RSES） at baseline and after 8-week intervention. Covariance analysis was used to compare the FFMQ， ISMI and SES scores between two groups after 8-week intervention.ResultsAfter 8-week intervention， there were statistically significant differences between two groups in total FFMQ scores， as well as in the observation， acting with awareness， non-judgment and non-reactivity subscale scores （F=50.680， 12.952， 13.567， 22.799， 14.043， P

A traceability and analysis method for measurement laboratory testing data based on the intelligent Internet of Things (IoT) and deep belief network (DBN) is proposed to address the issue of low accuracy in identifying anomalies in measurement testing data and difficulty in identifying the causes of anomalies. First, a data analysis system for the metrology laboratory is designed based on an intelligent IoT architecture of “cloud-management-edge-end.” Then, the Gaussian Bernoulli-Restricted Boltzmann machine is introduced to improve the DBN model, which is deployed on the edge side for learning the ledger data sample library to determine the anomaly detection data of the metrology device. Finally, a stacked denoising autoencoder model is used in the cloud center to extract historical electricity consumption curve features, and the cause of anomalies is determined by calculating the cosine similarity between it and the target device feature curve to complete traceability analysis. Based on the selected dataset, the proposed method is experimentally demonstrated, and the results show that its traceability accuracy and time consumption are 88.72% and 3.949 s, respectively, which can meet the detection requirements of the metrology laboratory.

Ticks are obligate blood-feeding arthropods that cause significant economic losses in domestic animal husbandry and threaten public health. However, information about soft ticks (Acari: Argasidae) and tick-borne pathogens in the Xinjiang Uygur Autonomous Region (XUAR) of China is scarce.

ObjectiveThis study analyzes the omics data resources in human-infecting coronavirus animal models collected from various public databases, focusing on data distribution, dataset quantity, data types, species, strains, and research content. It aims to enhance our understanding of biological characteristics and pathogenic mechanisms of coronaviruses, thereby providing a solid foundation for devising effective therapeutic strategies and preventive measures.Methods Query strategies, including specific virus names, time ranges, and inclusion and exclusion criteria, were defined to retrieve data from major public omics databases such as GEO and ArrayExpress. Secondary filtering was performed based on different field types to obtain a more accurate data list. An omics data text database was established for bibliometric analysis. Co-occurrence networks were constructed for the analysis of the correlation strengths between different research themes, technical methods, and involved species. The cell types, organs, and biological pathways involved in studies were examined to further elucidate the pathogenic interplay between pathogens and hosts. Results About twenty public databases containing coronavirus-related omics data were identified, with a primary focus on novel coronavirus infection. Commonly used species include humans, mice, hamsters, and monkeys, while the commonly used virus strains are Wuhan-Hu-1 and USA-WA1/2020. Lung tissues are primarily used in animal models such as mice, macaques, and ferrets, while airway epithelial cells and Calu-3 cells are predominantly employed in human-related studies. Expression profiling data indicate that gene pathways involved in inflammation, cytokine response, complement pathway, cell damage, proliferation, and differentiation are significantly upregulated after infection. Proteomics studies reveal significant changes in phosphoproteome, ubiquitinome, and total proteome of patient samples at different infection stages. Specific protein categories, including viral receptors and proteases, transcription factors, cytokines, proteins associated with coagulation system, angiogenesis-related proteins, and fibrosis markers, show alterations after coronavirus infection. In addition, metabolomics data suggest that phosphocholine, phosphoethanolamine, arachidonic acid, and oleic acid could serve as potential metabolic markers. Epigenomics research indicates m6A methylation plays a role in SARS-CoV-2 replication, infection, and transmission, affecting host cell-virus interactions. Among these, N, S, and non-structural proteins 2 and 3 exhibit the most significant ubiquitination. Trends in microbiomics research suggest that microbial communities in the gut and wastewater are emerging as new research focuses. Conclusion The data types of coronavirus omics are diverse, with a wide variety of models and cell types used. The selection of species and technical methods for modelling varies based on the characteristics of different viruses. Multi-omics data from animal models of coronavirus infection can reveal key interactions between hosts and pathogens, identifying biomarkers and potential therapeutic targets, and provide valuable information for a deeper understanding of biological characteristics and infection mechanisms of coronaviruses.

Interference between the electric and magnetic dipole-induced in Mie nanostructures has been widely demonstrated to tailor the scattering field, which was commonly used in optical nano-antennas, filters, and routers. The dynamic control of scattering fields based on dielectric nanostructures is interesting for fundamental research and important for practical applications. Here, it is shown theoretically that the amplitude of the electric and magnetic dipoles induced in a vanadium dioxide nanosphere can be manipulated by using laser-induced metal-insulator transitions, and it is experimentally demonstrated that the directional scattering can be controlled by simply varying the irradiances of the excitation laser. As a straightforward application, we demonstrate a high-performance optical modulator in the visible band with high modulation depth, fast modulation speed, and high reproducibility arising from a backscattering setup with the quasi-first Kerker condition. Our method indicates the potential applications in developing nanoscale optical antennas and optical modulation devices.

Chaohu Lake is a representative lake in China that suffers from severe eutrophication and algal blooms. Understanding the changes in the lake’s eutrophic condition over time is essential for its restoration and management under the background of global changes and regional sustainability. In this context, the compositions of carbon and nitrogen isotopes (δ 13Corg and δ 15N, respectively), total organic carbon (TOC), total nitrogen (TN), and carbon–nitrogen ratio (C/N) were analysed to depict the history of eutrophic state of Chaohu Lake, and its relationship with environmental changes. The result show that before the 1950s, the primary productivity of the lake was low. During the period from the 1950s to the 1970s, primary productivity increased substantially due to eutrophication. From the 1970s to the present, as a result of the construction of the Chaohu Floodgate Station, water replacement in the semi-closed Chaohu Lake gradually slowed and nutrients began to accumulate more rapidly. These conditions led to enhanced lake productivity and rapid eutrophication, mainly caused by intensified human activities and increased exogenous inputs. Our findings suggest that the geochemical records (δ 13Corg, δ 15N, TOC, TN, and C/N ratios) in sediment for Chaohu Lake are capable of recording important shifts in the temporal evolution of lake-water trophic state.

Objective The fully automatic operation（FAO）line based on traditional vehicle-ground communication technology faces problems such as insufficient capacity at peak time, complex and numerous system equipment, and wide range of fault impact, all need to be solved. Method A design scheme of FAO system based on autonomic perception and vehicle-to-vehicle communication technology is proposed. The architecture of the system and the functions of each subsystem are introduced, advantages of the system are analyzed. Result & Conclusion The above-mentioned FAO system adopts the safety protection model based on relative speed, further shortening the train chasing interval. Vehicle-to-vehicle communication combined with automatic perception technology further simplifies the system architecture and reduces the workload of operation and maintenance. The backup system with intelligent perception is constructed, it can ensure train operation safety under system failure and improve the operation resuming efficiency under failure. The system has completed on-site commissioning and testing with single and multiple trains in Beijing Metro Line 11 demonstration project, and obtained trial operation authorization.

Objective With the development of urban rail transit network, the uneven temporal and spatial distribution characteristic of the network passenger flow is growing prominent, and it is difficult to achieve the "on-demand transportation " with the existing fixed marshalling train. In order to make full use of the line capacity, it is necessary to study a new generation of train operation control system. Method A design scheme of train operation control system supporting virtual marshalling technology is proposed, and the performance difference between the train operation control system supporting virtual marshalling technology and the traditional one is analyzed from aspects of train operation logic control, line resource management and dispatching command mechanism. The key technology of virtual marshalling is introduced. In order to realize the application of virtual marshalling technology in engineering projects, the engineering design that needs to be considered in project planning and design stage for virtual marshalling train parking area, main line platform area and platform door interface are proposed. Result & Conclusion The vehicle-to-vehicle communication architecture provides a more reasonable system architecture design basis for realizing virtual marshalling technology. The train operation control based on "collision soft wall" model collaborative control and intelligent perception is the key technology in virtual marshalling train operation control system. With the extensive application of virtual marshalling technology, train operation control system can quickly adjust the online train length when the passenger flow changes, improving the flexibility of transportation organization and the passenger service level.

Genomic instability is a core characteristic of cancer, often stemming from defects in DNA damage response (DDR) or increased replication stress. DDR defects can lead to significant genetic alterations, including changes in gene copy numbers, gene rearrangements, and mutations, which accumulate over time and drive the clonal evolution of cancer cells. However, these vulnerabilities also present opportunities for targeted therapies that exploit DDR deficiencies, potentially improving treatment efficacy and patient outcomes. The development of PARP inhibitors like Olaparib has significantly improved the treatment of cancers with DDR defects (e.g., BRCA1 or BRCA2 mutations) based on synthetic lethality. This achievement has spurred further research into identifying additional therapeutic targets within the DDR pathway. Recent progress includes the development of inhibitors targeting other key DDR components such as DNA-PK, ATM, ATR, Chk1, Chk2, and Wee1 kinases. Current research is focused on optimizing these therapies by developing predictive biomarkers for treatment response, analyzing mechanisms of resistance (both intrinsic and acquired), and exploring the potential for combining DDR-targeted therapies with chemotherapy, radiotherapy, and immunotherapy. This article provides an overview of the latest advancements in targeted anti-tumor therapies based on DDR and their implications for future cancer treatment strategies.

Unmanned aerial vehicle (UAV) swarms have seen extensive deployment across a spectrum of military and civilian applications in recent years. The success of UAV missions is contingent upon robust communication and collaboration among the UAV, which has become a pivotal area of technical research. However, in environments rife with communication uncertainties, both subjective and objective environmental factors can disrupt UAV communication and collaboration. This interference can prevent UAV from accurately transmitting and receiving information, thereby jeopardizing the success of collaborative missions To address this challenge, a fault-tolerant UAV collaboration method grounded in reinforcement learning and semantic communication was developed to cater to the leader-follower UAV mission pattern within environments constrained by limited communication capabilities To enhance the follower UAV's strategy for reinforcement learning-based following, a semantic communication mechanism coupled with a Proximal Policy Optimization (PPO) method was implemented. This approach facilitated the prediction of the leader UAV's actions. Under normal communication conditions, the follower UAV received data transmitted by the leader and executed the corresponding command operations. In scenarios where communication was interfered, the follower UAV leveraged historical flight and communication data to extract semantic information. This information was then used autonomously to predict the future flight paths of the leading UAV. By integrating the learned and predicted behavior patterns of the leader, the follower UAV was able to make informed decisions. The proposed scheme, which did not necessitate additional anti-interference equipment, enabled the UAV swarm to counteract communication interference and bolster the efficiency of collaboration within a challenging and obstructed communication context. Experimental studies show that, when compared to benchmark methods, the proposed scheme not only endures complex environments with interferences but also significantly improves the efficiency of UAV leading-following operations and the overall mission success rate. This research provides valuable insights into viable solutions for future UAV swarm collaborations within communication-constrained and interfered environments.

[Objective] The study aims to explore the effects of different foliar fertilizers on the photosyn thetic characteristics, fruit quality, and yield of greenhouse strawberries, and to screen suitable foliar fer tilizers. [Methods] The strawberry variety “Monterey” planted in the greenhouse of Moujiatai Strawberry in Xigu District of Lanzhou City, Gansu Province was used as test materials. Under sufficient fertilization, five types of foliar fertilizers, including classic 750×liquid (T1), Huapu 1 500×liquid (T2), and Runliang 750×liquid (T3), 500×Adela fruit (T4), and 1500×potassium dihydrogen phosphate (T5), were ap plied topdressing at four growth stages, with water as control. The photosynthetic parameters, fruit qual ity, biomass, and yield were measured. [Results] (1) After spraying different foliar fertilizers, the bio mass and chlorophyll content of strawberry plants were significantly increased, and the net photosynthetic rate and transpiration rate of leaves were significantly increased, while the intercellular carbon dioxide con centration was higher than that of CK. (2) For fruit quality, T2 and T3 treatments significantly improved the strawberry fruit shape index, while T1 and T5 treatments significantly increased fruit volume and weight. Among them, the average single fruit mass of T1 was increased by 35.04% compared with CK, while the transverse and longitudinal diameters of T5 fruits were increased by 49.39% and 40.64%, re spectively. (3) The quality of strawberry fruits was effectively improved by various foliar fertilizer treat ments, and T1 treatment was the best. The content of vitamin C, soluble solids, soluble proteins, reduc ing sugars, and soluble sugars were increased by 30.84%, 33.5%, 38.5%, 27.9%, and 36.2%, respec tively, compared with CK. The content of titratable acid was the lowest, and the sugar acid ratio was the highest, with significant difference compared with CK. (4) Spraying appropriate fertilizer significantly in creased plant biomass, max single fruit weight, and fruit yield; treatment T1 had the highest yield, an in crease of 13.65% compared with CK. [Conclusion] The application of appropriate foliar fertilizer effective ly improves the nutritional growth status of strawberries, enhances the quality of strawberry fruits, and significantly increases yield. The comprehensive effect is best when applying classic 750×liquid.

To explore the mechanism of freeze–thaw cycles on the nutrient release of soft rock and sand-remodeled soils in Mu Us Sandy land of China, and to clarify the adaptation potential of remodeled soils with different proportions to extreme environment, indoor freezer simulation freeze–thaw experiments were carried out. The research results show that during the 2 cycles of freeze–thaw, the remodeled soil organic matter content and total nitrogen content (TNC) of the three treatments reached their peaks. Compared with that before freezing, T1, T2, and T3 treatments increased TNC by 40.9, 90.2, and 118.9%. The freeze–thaw cycle has a significant impact on the emergence rate of maize (P < 0.05). In the soil during the 2 freeze–thaw cycles, the seedling emergence rate of maize is the highest. Compared with non-freeze–thaw treatment, the maize emergence rate of T1, T2, and T3 treatments was increased by 2, 3, and 3 times, and the emergence rate of T2 and T3 treatments was higher than that of T1 treatments under different freeze–thaw cycles. In conclusion, short-term freeze–thaw cycles can promote soil carbon and nitrogen mineralization and improve nutrient availability in Mu Us Sandy land, and T2 and T3 treatments have better adaptability to the environment.

Traditional Chinese medicine (TCM) has been used to treat triple-negative breast cancer (TNBC), a breast cancer subtype with poor prognosis. Clinical studies have verified that the Sanyingfang formula (SYF), a TCM prescription, has obvious effects on inhibiting breast cancer recurrence and metastasis, prolonging patient survival, and reducing clinical symptoms. However, its active ingredients and molecular mechanisms are still unclear. In this study, the active ingredients of each herbal medicine composing SYF and their target proteins are obtained from the Traditional Chinese Medicine Systems Pharmacology database. Breast cancer-related genes are obtained from the GeneCards database. Major targets and pathways related to SYF treatment in breast cancer are identified by analyzing the above data. By conducting molecular docking analysis, we find that the active ingredients quercetin and luteolin bind well to the key targets KDR1, PPARG, SOD1, and VCAM1. In vitro experiments verify that SYF can reduce the proliferation, migration, and invasion ability of TNBC cells. Using a TNBC xenograft mouse model, we show that SYF could delay tumor growth and effectively inhibit the occurrence of breast cancer lung metastasis in vivo. PPARG, SOD1, KDR1, and VCAM1 are all regulated by SYF and may play important roles in SYF-mediated inhibition of TNBC recurrence and metastasis.

Objective To analyze therapeutic effect of savolitinib in patients with stage Ⅲ/Ⅳ non-small cell lung cancer (NSCLC). Methods A total of 95 patients with MET 14 exon (METex14) jumping mutation in stage Ⅲ/Ⅳ NSCLC were divided into a control group (47 cases) and an observation group (48 cases) through a random-number table method. The patients in the control group were treated with crizotinib, whereas those in the observation group were treated with savolitinib. The clinical efficacy and incidence of toxic side effects in both groups were evaluated through a chi-square test, and survival was evaluated through Kaplan-Meier survival analysis. Results Compared with control group (31.91% and 70.21%), the objective response rate and disease control rate of the observation group were 52.08% and 87.50%, respectively (P0.05). Conclusion Savolitinib can improve the efficacy of treatment for stage Ⅲ/Ⅳ METex14 skip mutation NSCLC patients, prolong survival, enhance the tolerance of patients to savolitinib, and facilitate the management of adverse reactions.

The formation mechanism of passivation film and corrosion resistance of (40-x)Zr-30Ti-20Nb-10Al-xTa (x=0, 2, 4, atom fraction/%, the same below, referred to as Tax alloy) high entropy alloy in a 0.3mol/L LiOH solution were investigated by potentiodynamic polarization, electrochemical impedance technique, Mott-Schottky analysis and potentiostatic polarization. The results show that the addition of appropriate amount of Ta (2%) helps to form a compact oxide film, which improves the corrosion resistance, while the excessive amount of Ta (4%) decreases the corrosion resistance due to the increase of oxygen vacancy concentration. The corrosion current density of the Ta2 alloy is 49.66 nA/cm2, which is less than the Ta0 and Ta4 alloys of 201.40, 70.16 nA/cm2. The concentration of oxygen vacancy point defect in the passivation film of the Ta2 alloy is 9.79×1018 cm-3, which is less than 2.13×1019, 2.05×1019 cm-3 in the Ta0 and Ta4 alloys, with the most compact passive film structure. The passivation film of the alloy is a stable n-type composed of ZrO2, Nb2O5, TiO2, Al2O3 and Ta2O5. Among them, the oxide content of ZrO2, Nb2O5 and TiO2 in the oxide film of the Ta2 alloy is the highest, which delays the dissolution rate of the primary oxide film and protects the matrix from further dissolution, with the best corrosion resistance.

A conjecture of Mallows and Sloane conveys the dominance of Hilbert series for finding basic invariants of finite linear groups if the Hilbert series of the invariant ring is of a certain explicit canonical form. However, the conjecture does not hold in general by a well-known counterexample of Stanley. In this article, we give a constraint on lower bounds for the degrees of homogeneous system of parameters of rings of invariants of finite linear groups depending on the universal denominator of Hilbert series defined by Derksen. We consider the conjecture with the universal denominator on abelian groups and provide some criteria guaranteeing the existence of homogeneous system of parameters of certain degrees. In this case, Stanley’s counterexample could be avoided, and the homogeneous system of parameters is optimal.

The Loess Plateau is an important region for soil and water conservation and ecological construction in China. Exploring the spatio-temporal variations in soil conservation and water conservation services and their relationships in Loess Plateau under the background of land consolidation projects is of great significance for ecological protection and quality development in the Yellow River Basin. Taking Yan’an city as the research area, this paper used the InVEST model to quantitatively evaluated spatio-temporal variation characteristics and trade-off/synergy relationship of the soil conservation and water conservation services from 2010 to 2018. According to the implementation data, the relationship between the gully control and land consolidation (GCLC) project in various counties of Yan’an city and soil conservation and water conservation service was analyzed. The results showed that the total amount of soil conservation services in Yan’an City were 4.07 × 106 t and 3.75 × 106 t in 2010 and 2018 with a decrease of 7.76%, and with low spatial clustering characteristic. The total amount of water conservation services were 2.01 × 1010 mm and 2.03 × 1010 mm in 2010 and 2018 with a increase of 0.56%, and with high spatial clustering characteristic. There is a synergistic relationship between soil conservation and water conservation services in most area of Yan’an city. From 2010 to 2018, the effect of the GCLC projects on soil conservation and water conservation services in Yan’an city is not significant. The GCLC project can effectively alleviate the situation of sharp decline of cultivated land area and insufficient food production capacity.

This research analyzed the structure of microbial groups in the sediment–water interface (SWI) and the relationship between the gene expression levels of two typical pathogenic bacteria Escherichia coli and Enterococcus, and nutrient levels using modern biological techniques. The nutrient distribution at the SWI revealed significantly higher nutrient content in the sediment compared to the overlying water. According to Fick’s first law, the release flux indicated that PO43−-P in the upper reaches of the reservoir was deposited from the overlying water, while the release rate of NH4+-N, in addition to sedimentation, was significantly greater than that of PO43−P. The microbial community structure was primarily dominated by the genera Methyloparacoccus, Methylomonas, and Arenimonas. The abundances of E. coli and Enterococcus were higher in the surface sediment than in the overlying water. Pearson correlation analysis demonstrated that E. coli had a significant positive correlation with total nitrogen (TN) (p < 0.05) and total phosphorus (TP) (p < 0.05), whereas Enterococcus had a very significant positive correlation with TN and TP (p < 0.01).

A retrospective analysis was conducted on 58 patients with laryngeal and hypopharyngeal tumors and 27 patients with benign vocal cord lesions to explore the role of serum cytokines in these diseases’ characteristics and immunotherapy. The differences in the levels of 12 cytokines were measured. Additionally, the study examined the correlation between T helper cells (Th)1/Th2 cytokine levels and the clinical characteristics and immunotherapy efficacy of laryngeal and hypopharyngeal cancers. The results show that the balance of Th1/Th2 is biased towards Th2 in patients with laryngeal and hypopharyngeal tumors. Among these, interleukin (IL)-6 (P = 0.021) was highly expressed in laryngeal tumors, and the expression levels of IL-1β (P = 0.008), IL-6 (P = 0.005), and IL-8 (P = 0.05) were higher in patients with poorly differentiated laryngeal tumors. The level of IL-4 (P = 0.0048) was significantly correlated with tumor location. The expression levels of IL-2 (P = 0.010), IL-4 (P = 0.028), IL-10 (P = 0.011), IL-12p70 (P = 0.034), IL-17 (P = 0.024), tumor necrosis factor (TNF)-α (P = 0.003), and interferon (IFN)-γ (P = 0.007) were related to lymph node metastasis. The level of IFN-γ (P = 0.016) was correlated with the efficacy of neoadjuvant therapy, while the level of IFN-α (P = 0.013) was significantly correlated with programmed death ligand 1 (PD-L1) expression. The Principal Component Analysis (PCA) results showed that patients with tumors, poor differentiation, and lymph node metastasis had higher levels of Th1 and Th2 cytokine separation. In conclusion, the shift in the balance of Th1 and Th2 cytokine expression indicates higher tumor invasiveness, and IFN has potential as a circulating molecular marker for immunotherapy of head and neck squamous cell carcinoma.

Acoustic–plasmonic coupling in metallic nanoparticles can significantly alter their optical absorption and scattering characteristics. However, almost all previous investigations on acoustic–plasmonic coupling so far have been focused on the spectral response of particles in a vacuum. In this report, a spatial photon scattering mode taking count in the acoustic–plasmonic coupling of individual gold nanoparticle (GN) on a silicon substrate under ultrasonic influence was presented. The acoustic–plasmonic is visualized with parametric images with spatial scattering patterns of the particle under the excitation of polarized light along the Poincare’s equatorial trajectory. The ultrasonic sources can be sensitively extracted from the parametric sinδ images, providing clear evidence of the extremely weak influence of ultrasound wave directivity on the spatial characteristics of the scattering of the particle through acoustic–plasmonic coupling. Experiment and simulation results reveal that, in general, the coupling is the strongest, when the maximum electric field (plasmon vibration mode) aligns with the ultrasonic propagation direction. This study provides a new angle to observe and deepen the understanding of the acoustic–plasmonic effect of nanoparticles, in addition to the conventional manner of investigation on their scattering spectra. It emphasizes the possibility of determining the spatial distribution of nanoparticles via photon state scattering when they are in a weakly oscillating environment, providing valuable guidance for future potential applications exploiting the acoustic–plasmonic effect of nanostructures.

Background: To analyzes the changes in serum levels of matrix metalloproteinase-9 (MMP-9), neuroenolase (NSE), myeloperoxidase (MPO) and prognostic factors in patients with intracranial aneurysm (IA) undergoing interventional embolization at different treatment times. Methods: A retrospective analysis was made of 200 IA patients admitted to our department from January 2018 to June 2021 was performed. All patients underwent interventional embolization. According to the timing of surgery, the patients were divided into an early group (n=120, onset to surgery ≤72 h) and a delayed group (n=80, onset to surgery >72 h). The effect of embolization, complications and neurological deficit scale (NDS) scores were compared between the two groups. Serum MMP-9, NSE and MPO levels were compared before and after surgery, and the prognosis of all patients within 2 years after surgery was assessed by the Glasgow outcome scale (GOS) and divided accordingly into the good prognosis group (n=147) and the poor prognosis group (n=53) accordingly, and the prognostic factors influencing the patients were analyzed univariately and multifactorially. Results: After surgery, the rate of complete embolism was higher in the early group than in the delayed group (P0.05). At 3d, 1 month, and 6 months after surgery, the NDS scores of patients in both groups were lower than those before surgery, and the within-group comparison of the NDS scores of patients in both groups at different time points was statistically significant (P4.5 mm, Fisher grade III-IV, Hunt-Hess grade III-IV, and hypertension were all independent risk factors for poor prognosis after IA interventional embolization (P4.5 mm, Fisher grade III-IV, Hunt-Hess grade III-IV, and hypertension are strongly associated with poor prognosis after interventional embolization in IA patients.

Temperature swing adsorption is one of most important means of the enrichment of xenon, and temperature is an important factor affecting adsorbent performance for xenon. In this paper, the dynamic adsorption experimental platform at ultra-low temperatures was designed, based on which the adsorption characteristics of carbon molecular sieve for xenon was studied within the temperature range of -110 ℃ to -60 ℃. The effects of xenon volume fraction, gas flow rate, inlet pressure, and inner diameter of the adsorption column on xenon adsorption performance were analyzed at -110 ℃. The results show that at -110 ℃, the volume fraction of xenon and flow rate have the most significant effects on the dynamic adsorption coefficient of xenon, while the effects of the inlet pressure and the inner diameter of the adsorption column are less than the above two factors within a certain range.

Objective To investigate the efficacy of video-assisted teaching ward rounds for typical cases of ophthalmology in clinical practice for medical undergraduates. Methods A total of 45 students from clinical medicine in Peking Union Medical College were enrolled. They were randomly divided into the experimental group (23 students) and control group (22 students). Primary angle closure glaucoma(PACG)was selected as the learning content, the experimental group was trained by video-assisted teaching ward rounds, while the control group was trained by internship in outpatient clinic. All students joined the test of typical case PACG and a questionnaire survey was implemented for the experimental group. Results The average score of experimental group was higher than control group[(84.30±4.53) vs. (78.05±5.76), t=4.05, P＜0.001]. For video-assisted teaching ward rounds, in experimental group, 86.9% (20/23) students believed it was more practical, 95.6% (22/23) students thought it was very helpful and 91.3% (21/23) students considered it was conductive to improve interest of learning and clinical thinking ability. Conclusions Video-assisted teaching ward rounds improves students′ understanding memory of ophthalmic typical cases, which is a potential supplement teaching method in clinical practice training of ophthalmology for medical undergraduates.

Abstract Shahe Reservoir is a key node in the upstream of the North Canal, and the water quality has gradually improved after the implementation of low water operation in 2018. The organic matter(OM) in the sediment decreased from 16.66 to 14.22%.In this study, the FI index and parallel factor method were used to investigate the traceability of OM and dissolved organic matter (DOM) in the Shahe Reservoir before and during low water level operation(LWLO), and the results showed that the terrestrial source fraction of OM in sediments was mainly related to organic-rich terrestrial plant residues carried by tributaries and overflows/outfalls during the rainy season, and the FI index indicated that the organic matter (OM) in the Shahe Reservoir before and during LWLO in each DOM in the area is derived from authigenic sources of autotrophic microorganisms, algae, etc. The parallel factor method shows that more than most of the pollutants in the DOM are input from endogenous sources and a small proportion of pollutants are input from exogenous sources. Nutrients in both sediment and interstitial water increased during the LWLO, with TN and TP levels increasing by 262.38 and 204.45 mg·kg−1 in sediment, NH4 +–N, PO4 3−−P, TN and TP in interstitial water increasing by 0.98, 1.36, 2.07 and 4.33 mg·L−1, respectively. Pearson correlation analysis and principal component analysis showed that OM was significantly correlated with nutrients: OM and TN (p

Fungi and bacteria coexist assembling complex communities in plant rhizosphere and endosphere that are important for plant health and agricultural productivity, however, the influence of root rot pathogen on bacterial-fungal interactions in plant ecological settings remains unclear. Here, bacterial communities from soil to endophyte of tobacco during Fusarium root rot invasion were comprehensively investigated. The bacterial community diversity and composition of stem endophytes were significantly altered by Fusarium root rot invasion. Molecular ecological network analysis revealed that the interactions among bacterial microbes in infected plant soils exhibit more intricate network structures compared to those found in healthy plants. The pathogens invasion led to changes in the crucial species within both the rhizosphere soil and plant endophytic bacterial communities. Furthermore, the interactions among fungal and bacterial species indicated that diseased samples, encompassing both the rhizosphere and endosphere, exhibited more complicated interdomain networks compared to their healthy counterparts. Importantly, the endophytic bacterial species Bacillus, Paenibacillus, Lactococcus, and two unclassified bacteria (OTU11999 and OTU730) from infected roots, and Bacillus, Raoultella, Leminorella, Pseudomonas, and three unclassified bacteria (OTU12058, OTU3 and OTU11435) from infected stems were negatively correlated with the pathogen Fusarium oxysporum f sp. psidii. It suggested that these endophytic bacteria may be associated with anantagonist effect and resistant against Fusarium root rot.

A ratiometric fluorescence sensor platform with easy-to-use and accurate is nanoengineered for NH3 quantitative detection and visual real-time monitoring of chicken freshness using smartphones. The ratiometric fluorescent probe formed by combining the zinc ion complex and carbon dots has a double-emitted fluorescence peak. The fluorescence intensity of the complex changed can be clearly observed with the increase of the concentration of ammonia solution under 365 nm wavelength excitation. In order to detect NH3 concentration in gaseous phase, a portable paper-based sensor was designed. The sensor had a good linear relationship with NH3 concentration ranging from 10.0 to 90.0 μmol/L and the LOD value was 288 nM. This fluorescent paper-based sensor was used to check the freshness of chicken breast refrigerated at 4 °C, revealed observable shifts from blue to green. The fluorescent paper-based sensor can detect NH3 concentration in real time and simplify the monitoring process of meat freshness while ensuring accuracy and stability.

With the increase of new energy penetration, the power balance and frequency stability problems brought by its randomness, intermittency and volatility has become increasingly serious. It is difficult to cope with these problems only by traditional centralized power plants. Flexible resources in the power systems should also bear a part of the responsibility for the balance of power and energy. Virtual power plant (VPP) can aggregate a large number of distributed flexible resources with different characteristics, participate in the electricity markets as a whole and accept the dispatch of the grid, and provide important support for the real-time power balance of the power systems. The development of VPPs should be based on a large number of flexible resources, advanced communication and dispatching/control technologies, and efficient business models and good market policies. The operation of VPPs can be attributed to the energy flow of the energy network, the information interaction of the information network and the value transfer of the value network. Therefore, based on the three-layer network architeciture of “energy-information-value”, the operation modes and control schemes of different types of VPPs were analyzed, and the idea of “three flow separation-convergence” for VPP architecture design was proposed. The findings provide useful guidance for the design, construction and operation of VPPs.

The article provides a comparative analysis of the training of future music teachers in the modern conditions of standardization of the content of school art education in Ukraine and the People’s Republic of China, the leading role of the integrated principle of education in the modern conditions of standardization of education in Ukraine and the People’s Republic of China is determined, the main elements of the content of the education of future music teachers based on the principles of integration are outlined, the main stages of its formation are defined; the main methods of implementing the content of education are proposed (showing, artistic practice, execution of sketches, sketching of an artistic work, variable development of artistic material, demonstration of artistic works, artistic illustration, etc.); the pedagogical conditions for improving the implementation of the content of the education of future music teachers based on the principles of integration were revealed.

Autoimmune hepatitis (AIH) is a chronic liver inflammatory disease with various immune system manifestations, showing a global trend of increased prevalence. AIH is diagnosed through histological abnormalities, clinical manifestations, and biochemical indicators. The biochemical markers involve interfacial hepatitis, transaminase abnormalities, positive autoantibodies, etc. Although AIH pathogenesis is unclear, gene mutations and immunological factors could be the leading factors. AIH usually presents as a chronic liver disease and sometimes as acute hepatitis, making it challenging to distinguish it from drug-related hepatitis due to similar clinical symptoms. Normalizing transaminases and serum IgG levels is essential in assessing the remission status of AIH treatment. Glucocorticoids and azathioprine are the first-line AIH treatment, with lifelong maintenance therapy in some patients. The quality of life and survival can be improved after appropriate treatment. However, certain limitations jeopardize the quality of treatment, including long treatment cycles, side effects, poor patient compliance, and inability to inhibit liver fibrosis and cirrhosis. Accurate AIH animal models will help us understand the pathophysiology of the disease while providing fresh perspectives for avoiding and treating AIH. This review will help us understand AIH better, from the cellular and molecular causes to the clinical features, and will provide insight into new therapy techniques with fewer side effects.

Abstract Background Esophageal cancer (ESCA) is one of the most aggressive and lethal human malignant cancers. MicroRNA‐1301‐3p (miR‐1301‐3p) plays vital roles in a majority of malignancies. The aim of this study was to investigate the role of miR‐1301‐3p/NBL1 axis on ESCA cell invasion, migration, epithelial‐mesenchymal transition (EMT) process, as well as its association with prognosis of ESCA patients. Methods The expression levels of miR‐1301‐3p and NBL1 were predicted by bioinformatics and further verified by RT‐qPCR assays. Kaplan–Meier (K–M) plotter analysis and univariate and multivariate Cox analyses were used to evaluate the relationship between miR‐1301‐3p and clinicopathological variables and prognosis. The role of miR‐1301‐3p on cell invasion, migration was detected by transwell invasion, and wound healing assays, respectively. The EMT‐related proteins were detected by western blot. The target genes and the target binding sites were predicted by bioinformatics and further determined by RT‐qPCR assay. Results MiR‐1301‐3p was remarkably upregulated in ESCA tissues and cells, and its high expression was associated with poor prognosis of ESCA. Overexpression of miR‐1301‐3p promoted ESCA cell invasion, migration and mediated EMT process in vitro, whereas knockdown of miR‐1301‐3p showed the opposite effects. Moreover, NBL1 was predicted as a target gene of miR‐1301‐3p. NBL1 was lowly expressed in ESCA cells and significantly decreased after upregulation of miR‐1301‐3p. Meanwhile, we found that low expression of NBL1 was significantly associated with poor prognosis of ESCA patients. Conclusion MiR‐1301‐3p is a potential biomarker for predicting the prognosis of ESCA patients. It may promote ESCA invasion, migration and EMT progression by regulating NBL1 expression.

In view of the problems existing in the current exam system, such as separation from the command information system and difficulty in carrying out remote group training, a scalable and extensible command training exam system architecture is proposed to provide technical support for integrating and invoking the relevant components of the command information system and carrying out large-scale group training. Firstly, the component integration framework of multi-system integration and the integrated exam course evaluation mode are proposed to realize the assessment of each course including command skills. Then, a multi-level server exam structure is designed. On this basis, through the application of virtualization cluster and other technologies, the rapid deployment of the system under diverse conditions and the large-scale remote group training application is realized.

Objective To evaluate the clinical efficacy of endoscopic resection for the patients with 2-5 cm gastric stromal tumor (GST). Methods A retrospective analysis was made on the clinical data of 42 patients with 2-5 cm GST who underwent endoscopic surgery in BenQ Medical Center Affiliated to Nanjing Medical University from January 2017 to January 2021. The patients' characteristics, the procedures of endoscopic resection, intraoperative conditions, postoperative recovery and prognosis as well as intra- and post-operative complications were analyzed. Results Endoscopic resection was successfully completed in 38 cases and failed in 4 cases. The surgical specimens were removed successfully in 34 cases and after being cut into pieces in the gastric cavity in 8 cases. Among all lesions completely removed, there were 38 cases with negative margins and 4 cases with positive margins. The intraoperative perforation occurred in 18 cases, including 4 cases of accidental perforation and 14 cases of active perforation. There were 7 cases of massive intraoperative bleeding, 5 cases of postoperative perforation, 4 cases of significant postoperative bleeding and 6 cases of postoperative infection. One case was found to have multiple abdominal metastases 2 years after surgery, but still survived with the tumor. Conclusion For GST with diameter of 2-5 cm, endoscopic resection surgery has a significant therapeutic effect, but the difficulty and risk of operation also increase significantly. Endoscopists need to master a variety of endoscopic procedures and skills, and seek surgical support in time if necessary.

In women, ovarian cancer is a common gynecological cancer associated with poor prognosis, reoccurrence and chemoresistance. Scoulerine, a benzylisoquinoline alkaloid, has been reported effective against several carcinomas. Thus, we investigated the impact of scoulerine on ovarian cancer cells (OVCAR3). Cell viability was assessed by MTT assay, migration was determined by Boyden Chamber assay, while the invasion was monitored by Boyden Chamber assay using the matrigel. The stemness properties of OVCAR3 cells were observed by tumorsphere assay. Epithelial to mesenchymal transition (EMT) and stemness-related protein markers were monitored by real-time PCR analysis and immunoblotting. Scoulerine inhibits the viability of OVCAR3 cells with the IC50 observed at 10 µmol L–1 after 48 h treatment. Scoulerine inhibited the colony-forming ability, migration and invasiveness of OVCAR3 cells in a dose-dependent fashion. Scoulerine treatment also drastically reduced the spheroid-forming ability of OVCAR3 cells. The mesenchymal and stemness--related markers like N-cadherin, vimentin, CD-44, Oct-4, Sox-2 and Aldh1A1 were downregulated, whereas the epithelial markers like E-cadherin and CD-24 were upregulated in scoulerine-treated cells. The upstream PI3K/Akt/mTOR-axis was downregulated in scoulerine-treated cells. We concluded that scoulerine successfully perturbs the cancerous properties of OVCAR3 cells by targeting the PI3K/Akt/mTOR axis. In vivo studies revealed a substantial decrease in tumor mass and volume after scoulerine treatment. Furthermore, scoulerine treatment was found to decrease oxidative stress factors in ovarian cancer mice model. Scoulerine is a potential anticancer agent against ovarian cancer and can be considered as a lead molecule for this malignancy, provided further investigations are performed.

Industrialization has advanced quickly, bringing intelligent production and manufacturing into people’s daily lives, but it has also created a number of issues with the ability of intelligent control systems for industrial robots. As a result, a study has been conducted on the use of multi-source data fusion methods in the mechanical industry. First, the research analyzes and discusses the existing research at home and abroad. Then, a robot intelligent control system based on multi-source fusion method is proposed, which combines multi-source data fusion with principal component analysis to better fuse data of multiple control periods; In the process, the experimental results are dynamically evaluated, and the performance of the proposed method is compared with other fusion methods. The results of the study showed that the confidence values and recognition correctness of the intelligent control system under the proposed method were superior compared to the Yu, Murphy, and Deng methods. Applying the method to the comparison of real-time and historical data values, it is found that the predicted data under the proposed method fits better with the actual data values, and the fit can be as high as 0.9945. The dynamic evaluation analysis of single and multi-factor in the simulation stage demonstrates that the control ability in the training samples of 0–100 is often better than the actual results, and the best evaluation results may be obtained at the sample size of 50 per batch. The aforementioned findings demonstrated that the multi-data fusion method that was suggested had a high degree of viability and accuracy for the intelligent control system of industrial robots and could offer a fresh line of enquiry for the advancement and development of the mechanical industrialization field.

Osteoarthritis (OA) is a chronic disease and is difficult to cure. Chondrocytes are highly mechanosensitive. Therefore, mechanical therapies have received attention as a therapeutic direction for OA. The stiffness, as a critical cue of the extracellular matrix (ECM), affects cell growth, development, and death. In this study, we use polydimethylsiloxane (PDMS) to create substrates with varying stiffness for chondrocyte growth, interleukin-1β (IL-1β) treatment to mimic the inflammatory environment, and Tubastatin A (Tub A) to inhibit histone deacetylase 6 (HDAC6). Our results show that stiff substrates can be anti-inflammatory and provide a better matrix environment than soft substrates. Inhibition of HDAC6 improves the inflammatory environment caused by IL-1β and coordinates with inflammation to spread the chondrocyte area and primary cilia elongation. Without IL-1β and Tub A treatments, the length of the primary cilia rather than frequency is stiffness-dependent, and their length on stiff substrates are greater than that on soft substrates. In conclusion, we demonstrate that stiff substrates, inflammation, and inhibition of HDAC6 enhance the mechanosensitivity of primary cilia and mediate substrate stiffness to suppress inflammation and protect the matrix.

With the large-scale application of composite materials in aircraft structures, the threat of visually invisible damage such as internal delamination of composite materials caused by impact from foreign objects is increasing,therefore, impact event monitoring and impact location identification of composite reinforced structures is essential.In order to verify the engineering validity of the impact localization algorithm, based on the piezoelectric sensing signal of the impact test on the composite large wall plate structure, the localization accuracy of the time-reversal focusing,error function and cross-correlation function impact monitoring algorithms is compared. The results show that, in the monitoring area of 2 360 mm×1 260 mm, the error of the cross-correlation function algorithm is smaller than that of the time-reversal focusing algorithm, and the error of the time-reversal focusing algorithm is larger at the truss, which is not suitable for impact positioning of reinforced structures.

ObjectiveTo provide reference data for the prevention， control， and treatment of Vibrio parahaemolyticus infection， the dominant band type of pulsed field gel electrophoresis （PFGE）， drug resistance， and virulence gene present in V. parahaemolyticus detected during foodborne disease surveillance cases in Tongzhou district， Beijing， from 2015 to 2021 was investigated.MethodsV. parahaemolyticus was isolated and cultured from stool samples of outpatient diarrhea cases in designated monitoring hospitals in Tongzhou district from 2015 to 2021. Serotyping， virulence gene detection， PFGE cluster analysis， and drug sensitivity tests were performed.ResultsThe detection rate of V. parahaemolyticus in 2 828 fecal samples was 3.54%， and the peak months of detection were from July to September every year. A statistically significant difference in the detection rate of V. parahaemolyticus in different years （χ2=53.94， P

This study uses the event study method to study and analyse the impact of the release of policy information related to the COVID-19 epidemic on the changes in the stock prices of listed companies of property service enterprises in China. The results show that the Hong Kong capital market has been greatly affected by the release of policy information related to the COVID-19 epidemic. Additionally, the study demonstrates that the policy effect of the introduction of policy information related to the COVID-19 epidemic exists in the short term, and that the effectiveness of policy information related to the COVID-19 epidemic will change over time.

With consumerism prevailing in modern cities, their uniqueness and diversity is gradually disappearing. People no longer pay attention to place significance and traditional values. Therefore, the "place" has become a meaningless activity space, which attracted the attention of several disciplines. However, at present, there are few studies on microgeographic units' delocalization from multiple dimensions, and there is a lack of discussion on the relationships between individual attributes such as emotion, social interaction, and consumption with placelessness. Based on the theoretical framework of placelessness, this study analyzed the process and dynamic mechanism of the evolution of the Heyuan Hakka restaurant into a placeless landscape from a micro perspective. The study showed that: 1) The synergy of power, capital, consumption, and operators contributes to the delocalization of restaurants. The government allocates resources through administrative means, such as administrative division adjustment, planning, and system reform, and begins the reconstruction and commercialization of urban space, which is the external driving force for the evolution of local restaurants. 2) In the course of urban development, local restaurants prefer to operate in new urban commercial centers, and they are gradually moving from older towns to achieve higher commercial efficiency. Therefore, the place significance implicit in the location of a restaurant gradually disappears. 3) To meet the needs of modern food consumption, capital has driven the development of restaurant chains and the integration of food across regions, which has inevitably led to the development of more homogeneous restaurants. 4) Operators believe that higher efficiency leads to higher profitability, so they are increasing their focus on the spatial efficiency of their restaurants. Competition for restaurant locations, environmental construction, and chain expansion reflect space production practices. 5) Local restaurants that gradually gather in the urban business center and surrounding areas alienate their relationship with residents, who find it difficult to engage in daily, frequent, social activities and emotional exchanges in such places. 6) Residents' original intimacy toward local restaurants has disappeared, and it has become difficult to establish a stable emotional connection with the new food consumption space. The main contributions of this study are as follows: First, at the micro level, the study explored how the power of modernity has contributed to the development of placelessness in three dimensions and expanded the study of consumption based on the 'human-object-land' relationship. Therefore, this study responds to the consumption research tendency of the new cultural geography based on the behavior, place, material, and the social-cultural mechanism behind it. Second, a processual analysis of the evolution of place into non-place, revealing the interaction between place and socioeconomic culture in the process of its construction, was completed. Third, this study prompts local restaurant operators to think deeply about their traditions and development processes, guiding operators to re-establish the connections between local restaurants and their communities, which will enhance the social value of local restaurants. Finally, this study enriches place theory, which will promote consumption space development. As a manifestation and consumption space of local culture, local restaurants should allow residents, tourists, and other consumers to experience the unique local culture of their region. This study also has value for the construction of urban consumption space.

With China’s economic and social development, material living standards have improved, leading to a dramatic increase in the demand for beef and higher requirements for its quality. In this context, molecular breeding technology for beef cattle has gradually become a research hotspot. This paper designs the entire process of knowledge mapping for molecular breeding technology of beef cattle in China, focusing on the molecular breeding knowledge extraction model based on BERT. It also integrates models and algorithms used in knowledge alignment, complementation, and storage to construct the knowledge graph. After testing the performance of the knowledge extraction algorithm, the development history of molecular breeding technology for beef cattle in China was analyzed. The results show that from 2013 to 2023, research related to molecular breeding technology for beef cattle in China exhibited a slow, then rapid growth trend. The terms “molecular breeding” and “beef cattle” appeared most frequently, with 218 and 165 occurrences, respectively, and had the highest centrality. Keywords with high occurrences include “comparative genes” (11.3068), “functional genes” (9.2376), “genome-wide association” (8.3197), and “genome-wide selection” (6.9012), all closely related to the development of molecular breeding technology for beef cattle in China. The prediction of future trends in molecular breeding technology for beef cattle in China is significantly influenced by this study.

Analyzing students’ feedback course text data is an inevitable requirement to improve the teaching quality of English language courses in colleges and universities. Based on the two parts of word vector representation and recognition of text language in natural language technology, this paper completes the word vector representation of English language course text in colleges and universities through the CBOW and Skip-gram structure of World2Vec model. Using the LDA topic model, the obtained English language word vectors are identified, and then the English language course system of colleges and universities is processed to complete the optimization of the course system. On this basis, 10 English language courses of X university are selected and the texts of question responses and course evaluations of the selected English language courses are collected and analyzed using the model. The study shows that 80% of the course responses are active at the beginning and end of the question life cycle. The percentage of question responses decreased as the number of questions increased. Students in Majors A (53%) and B (27%) were more concerned about teaching ability, and students in Majors B (40%) and C (57%) were more concerned about teaching style. Based on the above analysis, pedagogues can optimize the teaching quality of English courses in colleges and universities in terms of teaching ability and teaching style.

With the goal of improving the teaching effect of English in colleges and universities, this paper combines artificial intelligence technology with teaching and constructs an English-intelligent tutoring teaching model. By analyzing the main forms of artificial intelligence in the field of teaching, the advantages of intelligent teaching mode in college English teaching are explored from personalized teaching as well as teaching effect. Combining the RBF neural network to analyze the students’ learning data, the function approximation principle and interpolation method are used to improve the accuracy of the analysis of the students’ data. Using the form of network topology, the information transfer process in English intelligent teaching is explored. To improve the classification of students’ abilities and the prediction of their grades, judgment trees are added to the network. The English Intelligent Assisted Teaching model was applied to teaching to explore its feasibility and effectiveness. The results show that students’ satisfaction with personalized teaching is 0.85, and their satisfaction with personalized evaluation is 0.8. The students’ translation ability under the English Intelligent Assisted Teaching Model has improved more, from 75 to 90.

This paper is based on the vector autoregressive (VAR) model, and the model optimization is completed by determining the lag order to eliminate the autocorrelation in the error term through model comparison. The variables in the tax-related risk of the betting agreement are formed into a vector form, the parameters are estimated by least squares or maximum likelihood estimation, and the interrelationship of the variables is analyzed by impulse response function. The vector autoregressive model was used to evaluate the tax-related risk of the betting agreement of Company M, and 12 factors were obtained. Among them, the factors that have more than 80% influence on tax-related risk are the lack of research on the betting agreement and the backwardness of the theoretical aspects of the handling of the betting agreement, with the influence of 87.89% and 84.98%, respectively. Therefore, the vector autoregressive model can effectively assess the tax-related risks in corporate betting agreements and provide a reference for companies diversifying into restructuring and mergers.

For the current commercially available fabric yarn detection, which is based on traditional machine vision methods and relies heavily on manually designed features, an improved Faster R-CNN algorithm is proposed in this paper. In this paper, based on the Faster R-CNN algorithm, the deformable convolutional Resnet-50 network is fused to improve the learning ability of woven yarn features. By designing a multi-scale model for the detection of fine features in fabric yarns, a cascade network is introduced to improve the detection accuracy and localization accuracy of woven yarns, and an optimized loss function is constructed to reduce the effect of sample imbalance. Through the experiments of the improved fast R-CNN algorithm for fabric yarn detection, we can find that the confidence level of SSD algorithm detection is 58%, and the confidence level of the original Faster R-CNN algorithm detection is 78%, while the improved Faster R-CNN can not only accurately frame the finesse problem, but also the confidence level is as high as 97%. So this paper, based on the improved Faster R-CNN algorithm, can pinpoint the problem of fabric yarn detection, improve the learning ability of detection, and can meet the current demand for fabric yarn detection in the market.

This article presents an effective method for improving the structure and performance of coal rock masses, thereby facilitating coalbed methane extraction—the grouting solidification technique. A systematic review is conducted on grouting solidification materials, process methods, evaluation techniques, and other related aspects. In conclusion, it is emphasized that the grouting solidification technique requires further refinement in its system, and its continued significance in the dynamically evolving energy and coal industry is underscored. This is crucial for ensuring the efficient development and sustainable utilization of coal and coalbed methane resources.

Background We aimed to investigate the determinant factors of anti-PD-1 therapy outcome in nasopharyngeal carcinoma (NPC). Methods In this retrospective study, we included 64 patients with recurrent/metastatic NPC. The association of patients’ characteristics, C-reactive protein (CRP), neutrophil to lymphocyte ratio (NLR), and lactate dehydrogenase (LDH) with survival benefit of anti-PD-1 therapy were analyzed using Cox regression models and Kaplan-Meier analyses. Patients were divided based on the median value of CRP, NLR or LDH into different subgroups. Results At a median follow-up time of 11.4 months (range: 1-28 months), median progression-free survival (PFS) and overall survival (OS) were 1.9 months (95% CI, .18-3.6) and 15 months (95% CI, 10.9-19.1) months, respectively. Pretreatment metastases numbers was significant predictor of PFS (HR = 1.99; 95% CI 1.10-3.63; P = .024) and OS (HR = 2.77; 95% CI 1.36-5.61; P = .005). Baseline LDH level was independent predictor of OS (HR = 7.01; 95% CI 3.09-15.88; P < .001). Patients with LDH level >435 U/L at the baseline had significantly shorter PFS and OS compared to patients with LDH level ≤435 U/L (median PFS: 1.7 vs 3.5 months, P = .040; median OS: 3.7 vs 18.5 months, P < .001). Patients with non-durable clinical benefit (NDB) had significantly higher LDH level at the baseline compared to patients who achieved durable clinical benefit (DCB) ( P = .025). Post-treatment levels of CRP, LDH, and NLR were decreased compared to baseline in patients with DCB ( P = .030, P = .088, and P = .066, respectively), whereas, there was a significant increase in post-treatment level of LDH compared with baseline in patients with NDB ( P = .024). Conclusions LDH level at the baseline was an independent predictor of OS and pretreatment metastases numbers was a significant predictor of PFS and OS.

We have studied four 2D layered perovskites, including OA2PbI4 (RP phase), ODAPbI4 and BDAPbI4 (DJ phase), (GA)MAPbI4 (ACI phase), where OA is [(CmH2m+1)NH3](m = 8), ODA is [NH3(CH2)mNH3](m = 8), BDA is [NH3(CH2)mNH3](m = 4), and GA is [C(NH2)3]; RP, DJ, and ACI means Ruddlesden–Popper, Dion–Jacobson and alternating cations in the interlayer, respectively. The temperature dependence of absorption and photoluminescence (PL) spectra have been measured. From which the average phonon energy (electron-phonon interaction strength) is analyzed as around 34 (80), 47 (184), 50 (402), and 63 (758) with the unit of meV for OA2PbI4, ODAPbI4, BDAPbI4, and (GA)MAPbI4, respectively. Larger phonon energy indicates the involvement of more phonons in organic spacer layer, with the corresponding stronger electron-phonon interaction. Furthermore, ultrafast transient absorption spectroscopy proves that, when the excitation photon energy is serval hundred meV higher than bandgap, the excitons still are the major photoexcitations in OA2PbI4, but polarons are major one in ODAPbI4, BDAPbI4, and (GA)MAPbI4 films, no matter the excitonic transitions dominate the absorption at their band edges. This work proves the organic spacers can regulate electron–phonon interaction then optoelectronic properties in 2D perovskites profoundly, which have implications toward future rational design for relevant devices.

With the availability of large-scale scholarly datasets, scientists from various domains hope to understand the underlying mechanisms behind science, forming a vibrant area of inquiry in the emerging “science of science” field. As the results from the science of science often has strong policy implications, understanding the causal relationships between variables becomes prominent. However, the most credible quasi-experimental method among all causal inference methods, and a highly valuable tool in the empirical toolkit, Regression Discontinuity Design (RDD) has not been fully exploited in the field of science of science. In this paper, we provide a systematic survey of the RDD method, and its practical applications in the science of science.