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Objective·To investigate the expression of miR-146a in peripheral blood CD4+ T lymphocytes of patients with rheumatoid arthritis (RA) and its correlation with inflammatory cytokines such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6).Methods·A total of 30 active RA patients who received medical treatment and 30 healthy controls who underwent physical examinations at the People's Hospital of Longhua, Shenzhen from August 2019 to July 2021 were selected. Peripheral blood mononuclear cells (PBMCs) and CD4+ T lymphocytes were isolated from venous blood extracted from RA patients and healthy controls, respectively. Quantitative real-time PCR (qPCR) was used to detect the expression of miR-146a in peripheral blood CD4+ T lymphocytes, and enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of TNF-α and IL-6. After transfection of the peripheral blood CD4+ T lymphocytes of RA patients with miR-146a mimic, the expression of miR-146a, TNF-α and IL-6 was detected again. The correlations between miR-146a expression and TNF-α and IL-6 expression in RA patients, both before and after transfection, were analyzed by using Pearson correlation coefficient.Results·Before transfection with miR-146a mimic, the expression levels of miR-146a, TNF-α and IL-6 in peripheral blood CD4+ T lymphocytes of RA patients were significantly higher than those of healthy controls (all P

[Objective] Public data access is a crucial measure to unlock the value of digital resources, offering resource-based cities new opportunities to accelerate their transformation. Unveiling its impact on transformation efficiency and the underlying mechanisms provides a scientific basis for promoting the high-quality development of resource-based cities from the perspective of new quality productive forces. [Methods] This study treated the construction of data access platforms by local governments as a quasi-natural experiment, and used panel data from 114 resource-based cities in China from 2006 to 2021. A non-radial directional distance function was employed to measure transformation efficiency, considering the scenario where capital, labor, land, technology, and energy inputs are variable, as well as an alternative scenario where only energy input is variable. A multi-period difference-in-differences model was used to examine the effects and mechanisms of public data access on the transformation of resource-based cities from the perspective of new quality productive forces to ensure the accuracy of the results. [Results] (1) The study found that public data access resulted in an average improvement of 5.1% in the transformation efficiency of resource-based cities with all five inputs variable, and a 5.8% improvement under the alternative scenario, thereby significantly expediting the transformation of these cities. This conclusion remained valid after endogeneity treatment and robustness tests. (2) Mechanism analysis revealed that public data access facilitated the transformation of resource-based cities through three channels: green technology innovation, enhanced synergistic agglomeration of manufacturing and productive services, and the perfection of digital financial services. (3) Heterogeneity analysis indicated that the public data access had a more pronounced effect on the improvement of transformation efficiency in resource-based cities located in the central region, in the regeneration stage, and belonging to the old industrial base. [Conclusion] The key role of data access in introducing data elements into the transformation of resource-based cities should be emphasized. Actively leveraging the important role of data platforms in technological innovation, industrial development, and financial services provision could help resource-based cities develop new quality productive forces and transform towards high-quality development.

In this article, we collected the seismic phase arrival data (115°–120°E, 34°–39°N) of 2,833 local natural earthquakes above magnitude 1.0 recorded by 128 seismograph stations provided by the China Earthquake Networks Center covering the period from January 2008 to October 2023. We extracted the first arrival P- and S-wave arrival time data and obtained 26,351 P- and 26,349 S-wave absolute arrival times and 99,627 P-differential and 99,625 S-differential arrival times. Then, we determined 3-D P and S wave velocity structures under the Luxi region by using the double-difference tomography method. The results show lateral heterogeneities under the Luxi region, and the distribution of surface basins and uplift zones is associated with seismic velocities within the crust. The vertical section shows the widespread presence of vertical high-velocity bodies within the crust of the Luxi region, indicating seismological evidence of mantle upwelling in the region. Meanwhile, our imaging results also clearly indicate the presence of a significant low-velocity anomaly at depths of 13–17 km, which corresponds to the presence of a high-conductivity layer at that depth obtained from electromagnetic bathymetry. The transition zone between high and low velocities exists at a depth of 7–13 km, which plays an important role in the transfer of lithospheric stresses from the deep to the shallow part of the lithosphere. Combined with the results of the previous deep seismic wave velocity structure, petrology, and geological investigations, the deep dynamical background of the formation of slip tectonics and seismic mechanism in the Luxi area can be attributed to the go-slip activity of the Tan-Lu fault Zone, the subduction of the Pacific Plate, and the magmatism generated by mantle upwelling.

Abstract Background Adverse events of the fractured vertebra (AEFV) post-percutaneous kyphoplasty (PKP) can lead to recurrent pain and neurological damage, which considerably affect the prognosis of patients and the quality of life. This study aimed to analyze the risk factors of AEFV and develop and select the optimal risk prediction model for AEFV to provide guidance for the prevention of this condition and enhancement of clinical outcomes. Methods This work included 383 patients with primary osteoporotic vertebral compression fracture (OVCF) who underwent PKP. The patients were grouped based on the occurrence of AEFV postsurgery, and data were collected. Group comparisons and correlation analysis were conducted to identify potential risk factors, which were then included in the five prediction models. The performance indicators served as basis for the selection of the best model. Results Multivariate logistic regression analysis revealed the following independent risk factors for AEFV: kissing spine (odds ratio (OR) = 8.47, 95% confidence interval (CI) 1.46–49.02), high paravertebral muscle fat infiltration grade (OR = 29.19, 95% CI 4.83–176.04), vertebral body computed tomography value (OR = 0.02, 95% CI 0.003–0.13, P

ObjectiveTo establish the structural confirmation methods of three suspected new psychoactive substances （NPSs）, and explore a more general qualitative testing method.MethodsInfrared absorption spectroscopy （IR）, gas chromatography-mass spectrometry （GC-MS）, 1H-nuclear magnetic resonance spectroscopy （1H-NMR）, 13C-nuclear magnetic resonance spectroscopy （13C-NMR）, 19F-nuclear magnetic resonance spectroscopy （19F-NMR） and other techniques were used to identify the composition and structure of 5 samples containing suspected NPS submitted by public security bureaus.ResultsNPSs were found in the above 5 samples, and 3 were confirmed as NPS included in the newly listed controlled substances on July 1, 2024, namely 2-（methylamino）-2-（2-methylphenyl）cyclohexan-1-one （2-MDCK）, 2-（ethylamino）-2-（2-fluorophenyl）cyclohexan-l-one （2-FXE）, 1-（3,4-methylenedioxyphenyl）-2-（dimethylamino）pentan-1-one （dipentylone）, respectively. The first two substances were phencyclidine NPS, and the third substance was synthetic cathinone NPS.ConclusionThis study systematically summarizes the distinguishing features of the infrared absorption spectrometry, nuclear magnetic resonance spectroscopy and mass spectrometry of three NPSs, which can provide a reference for the qualitative identification of unknown substances.

ObjectivesWith the annual increase in the generation of solid waste, traditional treatment methods have struggled to meet the increasingly stringent environmental requirements and the demands for resource recycling. In order to realize the efficient utilization of solid waste resources, a combined medical waste-waste tire resource utilization system based on gasification and pyrolysis was proposed.MethodsThe system fully combined the advantages of plasma gasification and pyrolysis technologies, coupling the medical waste plasma gasification power generation technology with tire pyrolysis technology. The syngas obtained from the gasification and pyrolysis processes was utilized together as the fuel of a gas turbine. At the same time, the high-temperature flue gas produced by the gas turbine provided the heat source for tire pyrolysis, after which the flue gas heat was recovered by a waste heat boiler. While harmlessly treating the medical waste-waste tires, the gradient utilization of energy was realized. The energy analysis and economic analysis of the proposed system were carried out under the condition of fixed feed rate.ResultsThe system is able to achieve a total energy output of 23.59 MW, with a total energy utilization efficiency of 52.56%, which is much higher than the efficiency of conventional waste-to-energy generation. The system has good economic returns, and can realize a relative net present value of 727.978 1 million yuan in a 20-year life cycle, and the dynamic payback cycle is only 3.13 years.ConclusionsThe research results provide a new technical path for the efficient co-processing of solid waste resources.

ObjectivesThe large-scale penetration of wind power has reduced the frequency regulation capability of the power system to a certain extent.As a relatively mature and effective technical means, the energy storage system is widely used in power grid frequency regulation. Therefore, the response process and optimal configuration of energy storage system (ESS) participating in power grid frequency regulation under the control of virtual synchronous generator were studied.MethodsBased on the simulation software DIgSILENT/PowerFactory, an ESS control model and typical power system were constructed to analyze the frequency response characteristics of the grid before and after the ESS participation. Furthermore, considering the reserve capacity of wind turbines under different output modes, the configuration results of the ESS were optimized by dividing the wind speed range and determining the wind turbine power reserve coefficient, so as to realize the adaptive adjustment of the frequency regulation coefficient of the ESS.ResultsThe investment of the ESS can effectively improve the frequency response and reduce wind curtailment of the system. By reserving the frequency regulation capacity of wind turbines reasonably, the ESS can provide reliable power support for the power grid.ConclusionsThe self-adaptive adjustment method of the frequency regulation coefficient of the ESS based on the wind speed and the output power of fans can effectively reduce the overshoot and the output power of the ESS while meeting the frequency regulation requirements, thereby extending the working time.

Abstract Background Fully online learning has become a common option in many universities worldwide in the post-COVID-19 era. The study aimed to evaluate the dimensions and characteristics of the fully online learning self-efficacy among Chinese undergraduate medical and nonmedical students. Methods A cross-sectional study was conducted from January to August 2023 at Xihua University in China. A stratified cluster sampling method was used to enroll participants of undergraduate students. The Chinese version of the online learning self-efficacy scale (OLSES) was used to collect the demographic information. Cronbach’s alpha coefficient, exploratory factor analyses, confirmatory factor analyses, and linear regression analyses were conducted in the study. Results A total of 203 college students were included in the study. One hundred and twenty (59.1%) of the participants were medical students and 83 (40.9%) were nonmedical students, and most of them (64.5%) were from rural areas. The Cronbach’s alpha coefficients were determined to be 0.90, 0.86, 0.87, and 0.95 for the learning in a fully online environment, time management, technology use subscales, and the whole scale, respectively. Exploratory factor analysis revealed the justifiability of factor analysis. In the confirmatory factor analysis, the majority of the goodness-of-fit indices reached an acceptable threshold (χ2/df = 3.14, RMR = 0.06, RMSEA = 0.10, NFI = 0.84, RFI = 0.80, IFI = 0.89, TLI = 0.85, CFI = 0.90). More than half of the students reported insufficient self-efficacy for learning in a fully online environment and time management, whereas 55.7% showed good self-efficacy for technology use. Although more medical students than non-medical students had higher self-efficacy scores in the three domains of self-efficacy, the proportion of students with good self-efficacy was slightly lower among medical students than non-medical students, with no significant differences between the medical students and nonmedical students. Conclusions Most Chinese university students’ that participated to our study found self-efficacy for fully online learning as insufficient (results on the three domains, ranging from 36.5 to 55.7%) and had a good level of fully online learning self-efficacy. Medical students and nonmedical students are not differences in the self-efficacy of fully online learning. Thus, pedagogues should take measures to help students including medical and nonmedical improve their self-efficacy in online environment learning, time management and technology use, ultimately enhancing their academic success.

AIM: To explore the neuro-ophthalmological characteristics of acute macular neuroretinopathy(AMN)after SARS-CoV-2 infection.METHODS: A total of 8 patients(14 eyes), including 6 females and 2 males, who were diagnosed with AMN in the neuro-ophthalmology department of Xi'an No.1 Hospital(The First Affiliated Hospital of Northwest University)from December 27, 2022 to February 1, 2023 were included in the study. All patients had a history of SARS-CoV-2 infection before the disease, and the results of best corrected visual acuity(BCVA), non-contact indirect intraocular pressure measurement, fundus color photography, near infrared(IR), spectral-domain optical coherence tomography(SD-OCT), OCT angiography(OCTA), fundus fluorescein angiography(FFA), indocyanine green angiography(ICGA), visual field, visual evoked potential(VEP), and electroretinogram(ERG)were collected. Furthermore, the neuro-opthalmology characteristics of the included patients were analyzed and summarized.RESULTS: The included 8 patients aged from 20 to 43, with an average age of(30±6.63)years old. The patients had a history of SARS-CoV-2 infection 3 to 11(mean 5±3.51)d before the disease, and 6 out of 8 patients developed visual symptoms within 5 d of infection with SARS-CoV-2, with manifestated with decreased vision or visual scotoma. The visual acuity varied from 0.08 to 1.0, with visual field defect characterized by central, paracentral or peripheral scotoma. VEP showed prolongation latency of P100 or P2, and ERG revealed impaired function of retinal photoreceptor cell. In the early stage of the disease, the size and shape of early visual acuity, visual field, and extraretinal lesions in patients with AMN associated with SARS-CoV-2 infection may not match, and the lower the visual acuity, the later the VEP peaks.CONCLUSION: The neuro-ophthalmic features of SARS-CoV-2 infection-associated AMN require the attention of clinicians. In addition to multi-mode fundus imaging, clinicians should use a variety of methods to comprehensively evaluate visual function and prognosis of patients.

Objective To explore the efficacy of a novel and simple manual bone cone drilling hematoma drainage for hypertensive intracerebral hemorrhage. Methods From January 2021 to December 2022, 103 patients with hypertensive intracerebral hemorrhage at The Affiliated Bozhou Hospital of Anhui Medical University were included. They were treated with traditional bone cone drilling hematoma drainage (traditional group, n = 51) and novel-type bone cone drilling hematoma drainage (novel-type group, n = 52). Based on pre- and post-surgery head CT results, the hematoma clearance rate and accuracy of catheter placement were calculated. National Institutes of Health Stroke Scale (NIHSS) was used to assess the severity of neurological deficits, and modified Rankin Scale (mRS) was used to evaluate the neurological functional prognosis. Results The hematoma clearance rate in the novel-type group [(45.54 ± 24.23)% vs. (35.08 ± 6.49)%; t = 3.008, P = 0.004] and the accuracy of catheter placement [90.38% (47/52) vs. 68.63% (35/51); χ2 = 7.509, P = 0.006] were significantly higher than those of the traditional group. The novel-type group and the traditional group showed statistically significant differences in hematoma volume (F = 9.157, P = 0.003) and mRS score (F = 4.412, P = 0.038). The postoperative hematoma volume (t = - 4.625, P = 0.000) and mRS score (t = - 2.712, P = 0.008) of the novel-type group were lower than those of the traditional group. Statistically significant differences were observed in hematoma volume (F = 280.635, P = 0.000), NIHSS score (F = 443.320, P = 0.000) and mRS score (F = 552.781, P = 0.000) before and after surgery in the 2 groups; the hematoma volume (t = 10.233, P = 0.000; t = 19.906, P = 0.000), NIHSS score (t = 14.576, P = 0.000; t = 15.286, P = 0.000) and mRS score (t = 20.201, P = 0.000; t = 13.511, P = 0.000) after operation were lower than those before operation in the 2 groups. Conclusions The novel and simple manual bone cone drilling hematoma drainage is a safe and effective treatment for hypertensive intracerebral hemorrhage.

The sediment type in the “Shenhu” sea area of the South China Sea is mud sediment, with poor reservoir physical conditions, and the seabed is loose with a small pressure window. These conditions pose heightened safety challenges for the extraction of hydrates in this region. This study develops a multiphase flow model that accounts for the endothermic decomposition of hydrates and employs the finite difference method for its solution. Utilizing this model, the multiphase flow characteristics during depressurization extraction at a specific well in the “Shenhu” area are investigated. Building on this, the study analyses the impact of varying pump rates and geothermal gradients on multiphase flow properties, hydrate yield, and engineering safety. Based on the analytical findings, recommendations are proposed to balance hydrate production with engineering safety, effectively mitigating potential engineering accidents during depressurization extraction. The outcomes of this research offer technical guidance for the commercial exploitation of hydrates in the “Shenhu” area of the South China Sea, laying a foundation for future related studies.

Objective The Laiwu Basin is a typical monocline fault basin in the central and southern regions of Shandong Province. It has a complex geological structure and an uneven distribution of groundwater resources within the region. Previous researchers have conducted a large number of hydrogeological and spring water protection studies, but no relevant research has been conducted on the relationship between the development laws of fissure karst and the distribution of karst groundwater. Methods In this study, karstification and groundwater enrichment characteristics were investigated in the Laiwu Basin through research methods of data collection, field geological surveys, hydrogeological drilling, and rock and mineral testing. Results Carbonate strata are concentrated in the southern part of the Laiwu Basin, with a monoclinal structure controlled by the geological structure, which is scattered sporadically in the northern and eastern regions. Karst development is affected by many factors, such as formation lithology, geological structure, groundwater dynamic conditions, and magma intrusion. The principal surface karst features are grikes and karst valleys. In addition, the principal underground karst features were dominated by dissolution fissures and holes at 400 m depth. Karst groundwater is primarily concentrated in multistage structural fault basins, hanging walls formed by water-blocking faults, groundwater pressure discharge areas, and karst development areas on the anticlinal flank of the mine. Conclusion The karst water cycle in the Laiwu Basin has a general regularity of monoclinic basins but is influenced by multiple factors, forming karst water systems of varying sizes that are relatively independent. Significant differences were observed in the development characteristics and water abundance patterns of karsts in different regions. Fault structures and geological water-blocking areas have relatively abundant karst water, whereas the shallow karst water has a strong runoff cycle. [ Significance ] This study provides scientific and technical support for the exploitation and utilization of groundwater resources in water-scarce mountainous areas of central and southern Shandong Province.

[Objective] In order to investigate the mechanism of mechanical effect of root-soil complex and the application of modeling method. [Methods] The concept and connotation of root-soil complex, the principle of mechanical effect and mechanical model of root-soil complex, advantages and disadvantages as well as the scope of application were summarized and analyzed by using literature analysis method and comparative analysis method. [Results] (1) The root-soil complex was a composite whole of mechanical coupling effect between root system and soil body, and the root system was intertwined in soil playing a reinforced role. (2) The mechanical relationship between root system and soil body was essentially the result of soil mechanical, hydraulic and composite mechanical properties of root-soil complex. The soil mechanical and hydraulic properties focused on the influence of roots on the soil and the influence of water on the soil and root system respectively, and the composite mechanical properties focused on the direct influence of soil properties on the properties and structure of plant roots, so that the mechanical relationship between roots and soil was in a dynamic balance through the three. (3) The study of the composite mechanical model of the root-soil complex was slightly less than that of the soil mechanical and hydraulic model, which were based on quantitative parameters and measure the soil consolidation effect by comparing parameters. However, the composite mechanical properties involves both soil and hydraulic properties, which was a comprehensive consideration and should be the key research direction in the future. [Conclusion] In-depth research was needed in the future to investigate the effects of freeze-thaw cycle, dry-wet alternation and dry-hot cycle on root and soil interaction in different regions, the shear strength of multi-type plant mixtures, the influence mechanism of chemical and microbial effects on soil-water propertiess and the construction of composite models need to be further studied. This study can provide important theoretical value and engineering reference for vegetation restoration, soil and water conservation and sustainable development in ecologically fragile areas.

The uneven spatial and temporal distribution of light resources and water scarcity during the grain-filling stage pose significant challenges for sustainable crop production, particularly in the arid areas of the Loess Plateau in Northwest China. This study aims to investigate the combined effects of drought and shading stress on winter wheat growth and its physio-biochemical and antioxidative responses. Wheat plants were subjected to different drought levels— full irrigation (I100), 75% of full irrigation (I75), 50% of full irrigation (I50), and 25% of full irrigation (I25), and shading treatments — 12, 9, 6, 3 and 0 days (SD12, SD9, SD6, SD3, and CK, respectively) during the grain-filling stage. The effects of drought and shading treatments reduced yield in descending order, with the most significant reductions observed in the SD12 and I25 treatments. These treatments decreased grain yield, spikes per plant, 1000-grain weight, and spikelets per spike by 160.67%, 248.13%, 28.22%, and 179.55%, respectively, compared to the CK. Furthermore, MDA content and antioxidant enzyme activities exhibited an ascending trend with reduced irrigation and longer shading durations. The highest values were recorded in the I75 and SD12 treatments, which increased MDA, SOD, POD, and CAT activities by 65.22, 66.79, 65.07 and 58.38%, respectively, compared to the CK. The Pn, E, Gs, and iCO2 exhibited a decreasing trend (318.14, 521.09, 908.77, and 90.85%) with increasing shading duration and decreasing irrigation amount. Drought and shading treatments damage leaf chlorophyll fluorescence, decreasing yield and related physiological and biochemical attributes.

Ad Hoc network is widely used because of its distributed flexibility, in which nodes may generate different types of traffic, and some high-priority traffic requires lower delay and other Quality of service (QoS) requirements. However, as the load of traffic increases, the probability of conflict increases significantly, which makes it difficult to guarantee the requirement of these traffic. It is significant to design the efficient multiple access protocol to ensure the quality of different kinds of traffic. Channel reservation mechanism is an important method to ensure QoS. However, the existing channel reservation mechanism does not fine-adjust reservation parameters according to the QoS when dealing with various traffic differently, and the differentiation mechanism is rough. In addition, it is difficult to ensure the performance of common services when low-latency services are met. Therefore, a differentiated service guarantee adaptive reservation mechanism (DSGARM) to solve the above problems is proposed. The core idea of the protocol is to provide differentiated services in detail according to the delay tolerance requirements of each business. Absolute reservation mechanism is used to guarantee delay-sensitive services, and relative reservation mechanism is used to service relatively delay-insensitive services. In the protocol, a model is established to design an adaptive algorithm to quantitatively calculate reservation parameters that meet the delay requirements. On the premise of prioritized reservation for various services, appropriate reservation parameters can be adjusted according to network conditions to ensure the delay tolerance requirements of each type of service. The present work can be widely applied to scenarios with differentiated business requirements. The simulation results show the advantages of the present protocol and have great practical significance.

Abstract A library of novel bis-Schiff base derivatives based on thiobarbituric acid has been effectively synthesized by multi-step reactions as part of our ongoing pursuit of novel anti-diabetic agents. All these derivatives were subjected to in vitro α-glucosidase inhibitory potential testing after structural confirmation by modern spectroscopic techniques. Among them, compound 8 (IC50 = 0.10 ± 0.05 µM), and 9 (IC50 = 0.13 ± 0.03 µM) exhibited promising inhibitory activity better than the standard drug acarbose (IC50 = 0.27 ± 0.04 µM). Similarly, derivatives (5, 6, 7, 10 and 4) showed significant to good inhibitory activity in the range of IC50 values from 0.32 ± 0.03 to 0.52 ± 0.02 µM. These derivatives were docked with the target protein to elucidate their binding affinities and key interactions, providing additional insights into their inhibitory mechanisms. The chemical nature of these compounds were reveal by performing the density functional theory (DFT) calculation using hybrid B3LYP functional with 6-311++G(d,p) basis set. The presence of intramolecular H-bonding was explored by DFT-d3 and reduced density gradient (RGD) analysis. Furthermore, various reactivity parameters were explored by performing TD-DFT at CAM-B3LYP/6-311++G(d,p) method.

BackgroundSextupoles are an important component of storage ring octonal unit in high energy synchrotron radiation sources. They require complex technological processes and precise center extraction. Therefore, it is necessary to find out the most reasonable calibration scheme for the mechanical center.PurposeThis study aims at the calibration scheme for the mechanical center extraction of high energy photon Ssurce (HEPS) sextupoles, and obtaining the corrected mechanical central coordinate system.MethodsThe method of directly measuring the reference plane of the sextupole was adopted for the mechanical center calibration of magnets. By rotating the conventional calibration coordinate system with a given pole seam deviation angle, the three polar seam surfaces were brought closer to the theoretical positions to decrease the main diagonal component of the sextupoles. The mechanical center calibrations were performed twice for each hexacode iron to further reduce the impact of the polar seam error.ResultsThe calibration results show that the calibration repeat accuracy is 0.005 mm for the sextupole. The standard deviation between the measured value and the design value of the pole seam spacing is 0.015 mm. Additionally, the standard deviation of the reference point before and after the rotation of the coordinate system is 0.09 mm, with a maximum rotation angle of 0.6 mrad.ConclusionsThe calibration scheme of this study can be used to improve the calibration accuracy and provide reference for the calibration of similar equipment. It ensures smooth installation of accelerator devices and is of significant importance for accelerator collimation measurements.

Image denoising techniques often rely on convex relaxations, which can introduce bias into estimations. To address this, non-convex regularizers like weighted nuclear norm minimization and weighted Schatten p-norm minimization have been proposed. However, current implementations often rely on heuristic weight selection, neglecting the potential of automated strategies. This work introduces a novel non-convex, non-separable regularization term aimed at achieving a hybrid representation that leverages both low-rank (LR) and global sparse gradient (GS) structures. An iteratively auto-weighting Equivalent Minimax $L{\gamma }$ Concave penalty (EMLC) is proposed for non-convex relaxations. To enhance sparsity and improve low-rank estimation, the EMLC-LRGS-based image denoising model is presented. This model integrates global gradient sparsity and LR priors within a unified framework using the EMLC penalty. The formulation addresses limitations of convex relaxations by employing an equivalent representation of the weight minimax $L{\gamma }$ concave penalty as a combined global sparsity and local smoothness regularizer in the gradient domain. This aligns more closely with the data acquisition model and prior knowledge. To exploit the inherent low-rank structure of images, an equivalent representation of the weighted $L{\gamma }$ norm is employed as a low-rank regularization term applied to groups of similar image patches. Efficient model resolution is achieved through an adaptive alternating direction method of multipliers (ADMM) algorithm that dynamically tunes the weighted parameter while promoting sparsity and a low-rank representation. The effectiveness of this approach is demonstrated through comprehensive comparisons with state-of-the-art image denoising models, showcasing its superiority in image denoising tasks.

BackgroundLuminescence dating technology has made significant advancements in determining the chronology of archaeological materials subjected to low firing temperatures. However, the luminescence dating of archaeological materials subjected to high firing temperatures remains challenging.PurposeThis study aims to explore the luminescence emission spectrum characteristics and luminescence properties of high-firing temperature quartz to verify the feasibility of thermoluminescence (TL) signals from different bands in luminescence dating.MethodsFirstly, the high-firing temperature (about 950 °C) quartz extracted from pottery unearthed at the Lingjiatan archaeological site was taken as a case study, spectral measurement platform was established using a Risø DA-20 luminescence dating instrument coupled with an Andor spectrometer and a charge-coupled device camera to analyze the luminescence spectral properties of archaeological quartz with high firing temperatures. Then, five filter combinations and two photomultiplier tubes (PMTs) were used to compare the TL and isothermal thermoluminescence (ITL) sensitivities of blue and red emissions. Kinetic parameters for Blue TL and Red TL were determined by deconvolving the glow curves with the general-order equation. Finally, exposure experiments were conducted on the Blue and Red TL using a solar simulator. The single aliquot regenerative dose (SAR) protocol was implemented to assess the applicability of the Blue TL-SAR, Blue ITL-SAR, Red TL-SAR, Red ITL-SAR, and optically stimulated luminescence (OSL)-SAR methods for dating archaeological quartz exposed to high temperatures during production or use.ConclusionsThe spectral analysis reveals that the archaeological quartz subjected to high firing temperature exhibits significant Red TL emissions at approximately 620 nm, which is correlated with the TL peak at 375 °C. This Red TL at 375 °C exhibits a marked insensitivity to light. The multi-wavelength TL, multiwavelength ITL, and conventional OSL dating results are consistent with the known radiocarbon age within the error range. This study demonstrates the potential feasibility of using luminescence signals of different wavelengths for chronological studies of archaeological materials subjected to high firing temperatures.

A dielectric microsphere concentrates light into a photonic nanojet (PNJ), and swims towards the near-infrared laser in response to the nanojet-mediated force. In contrast, a Janus particle with an opaque metal layer was thought to be impossible to concentrate light into a stable nanojet. However, the Janus particle may experience optical torque owing to the inhomogeneous composition on both sides even in linearly polarized non-resonant light. Herein, we report on topologically protected PNJ produced by a synthetic Janus particle, and observed the backaction force on the Janus particle. Due to symmetry, the counter-propagating beams can both form PNJ on the respective opposite sides, and pull Janus particles towards respective sources. Furthermore, we unveil that the hysteresis on backaction force with respect to the injection power also exists on synthetic Janus particle compared with their dielectric counterparts. Additionally, the magnitude of the backaction force varies between power increase and decrease stages even with the same laser power. We anticipate that the observation offers great possibilities to pull irregular particles by concentrating light with the particle, and such scheme may be applied for parallel particle manipulation and classification.

ObjectiveTo establish a rat model of hyperuricemia （HUA）， to study the effect of Liqing granules on lowering serum uric acid， and to evaluate its safety .MethodsMale SD rats were randomly divided into solvent control group and model group according to their body weight. For the model group， serum uric acid （SUA） was determined after 7 days of intra-gastric administration of potassium oxyazinate. The model group were randomly divided into model control group， positive control group， and low， medium， high dose group based on SUA level. Each group from the model group continued to receive potassium oxyazinate in the morning. The animals in the model groups received 0.5% CMC-Na， 10 mg·kg-1 benzbromarone （Doses by body weight） and Liqing granules 0.6， 1.2， 2.4 g·kg-1 （Doses by body weight）， respectively in the afternoon. 0.5% CMC-Na suspension with the same volume was given both in the morning and afternoon for the solvent control group. Levels of SUA， creatinine （CREA）， alanine aminotransferase （ALT） and aspartate transaminase （AST） were determined after 32 and 45 days administration of the test substance.ResultsSUA of the model group was （218±23） μmol·L-1 after 7 days of modeling， which was significantly higher than that of the solvent control group （P0.05）. CREA in the medium and high dose groups significantly decreased （P0.05）.ConclusionLiqing granules can assist in lowering blood serum uric acid in the rat HUA model， and no damage to liver and kidney function is found.

The internal dimension of a small diameter variable cross-section composite inlet is small,the surface treatment is difficult,and the overall manufacturing is difficult. How to reduce the process difficulty on the basis of meeting the surface quality requirements of the inlet,and at the same time endow the parts with functionality,is an urgent problem to be solved. A manufacturing method is proposed,which can realize structural and functional integration. The block and combined structure design is adopted,then the skin parts with uniform thickness(surface waviness not exceeding 0.5 mm) and small deformation are formed under the process control. To solve the problem of seam level difference between segmented skins,the synergistic method of flange edge connection and fixed connection with plate is adopted. After assembly alignment,the surface quality of the inlet cavity meets the requirements,and the effective filling of the joint further guarantees the realization of the aircraft function. Then the composite air inlet that meet the design and usage requirements has been successfully manufactured.

Abstract Background and objective Loneliness is detrimental to mental health, with university students at higher risk of feeling lonely than other population groups. The mental health of college students is a hot topic at present. Despite numerous studies exploring interventions for loneliness among university students. However, little research has explored early psychological manifestations of university students with different levels of loneliness. Despite numerous studies exploring interventions for loneliness among university students, little research has explored early psychological manifestations of university students with different levels of loneliness. Initial sandplay is a good tool to reveal psychological activity. Therefore, our study aims to explore the characteristics of initial sandplay application among university students with different levels of loneliness. Methods We recruited 60 volunteers from a university to perform a sandplay experiment from January to April 2021. The UCLA Loneliness Scale measured the levels of loneliness. These 60 participants were divided into the experimental group (n = 30) and control group (n = 30) according to their levels of loneliness. The experimental group included participants with a scale score of more than 44. Other participants with a scale score of less than 44 belong to the control group. We recorded their sandplay artwork and statistically analyzed it by the Sandplay Process Record Form. Group comparisons were performed using the t-test or Wilcoxon rank-sum test for continuous variables, and the chi-square test or Fisher’s exact test for categorical variables. The logistic regression analysis by forward stepwise method was conducted to analyze the sandplay theme features for loneliness. Results Regarding the sandplay tools, the experimental group used fewer transportation tools (t=-3.608, p

Multiple myeloma (MM) is characterized by excessive aggregation of B-cell-derived malignant plasma cells in the hematopoietic system of bone marrow. Previously, we synthesized an innovative molecule named dihydrocelastrol (DHCE) from celastrol, a triterpene purified from medicinal plant Tripterygium wilfordii. Herein, we explore the therapeutic properties and latent signal transduction mechanism of DHCE action in bortezomib (BTZ)-resistant (BTZ-R) MM cells. In this study, we first report that DHCE shows antitumor activities in vitro and in vivo and exerts stronger inhibitory effects than celastrol on BTZ-R cells. We find that DHCE inhibits BTZ-R cell viability by promoting apoptosis via extrinsic and intrinsic pathways and suppresses BTZ-R MM cell proliferation by inducing G0/G1 phase cell cycle arrest. In addition, inactivation of JAK2/STAT3 and PI3K/Akt pathways are involved in the DHCE-mediated antitumor effect. Simultaneously, DHCE acts synergistically with BTZ on BTZ-R cells. PSMB5, a molecular target of BTZ, is overexpressed in BTZ-R MM cells compared with BTZ-S MM cells and is demonstrated to be a target of STAT3. Moreover, DHCE downregulates PSMB5 overexpression in BTZ-R MM cells, which illustrates that DHCE overcomes BTZ resistance through increasing the sensitivity of BTZ in resistant MM via inhibiting STAT3-dependent PSMB5 regulation. Overall, our findings imply that DHCE may become a potential therapeutic option that warrants clinical evaluation for BTZ-R MM.

Objective: To identify mouldy peanuts in a fast and non-destructive way and improve the identification efficiency. Methods: Collected hyperspectral peanut data using a spectrometer, identify moldy peanuts using deep learning technology, and established a Hypernet PRMF model, which was compared with Deeplab v3+, Segnet, Unet, and Hypernet as control models. Integrated the proposed peanut recognition index into hyperspectral images as data feature pre extraction. Simultaneously integrating the constructed multi feature fusion blocks into the control model to improve the recognition efficiency of moldy peanuts. Results: The average pixel accuracy of all models exceeded 87%. the Hypernet-PRMF model had the highest detection accuracy of 90.35%, while for the whole peanut dataset, Hypernet-PRMF had a low false recognition rate and could effectively identify all mouldy peanuts in the figure. Conclusion: The Hypernet-PRMF model built based on deep learning has high pixel accuracy and detection precision, which can effectively identify mouldy peanuts and provide a reference basis for the identification and detection of other mouldy food and other hyperspectral objects.

In order to meet the growing requirements of users for wireless services in various scenarios, highly densely deployed wireless local area network(WLAN) will be developed. However, due to the limited frequency resources, there must be a large number of wireless access points(APs) in the same channel. But APs which are located in the same channel will interfere with each other, resulting in a decline in the fairness of throughput in the network. And it can not provide users with good quality of service. In order to improve the fairness of throughput and experience of users, it is necessary to formulate the reasonable network parameter adjusting methods. A method based on neural network and genetic algorithm is proposed. The neural network is used to build the relationship between the parameters of WLAN and the fairness of throughput. The trained model is used as the fitness evaluation function of the genetic algorithm. And the genetic algorithm is used to solve the optimization parameter combination configuration to improve the fairness of throughput in WLAN. Simulation results show that the present algorithm can improve the fairness of throughput in the whole network.

Objective: This study aimed to investigate the influence of degree of polymerization of amylose on the digestibility characteristics of its ternary complexes. Methods: Ternary complexes of seedless breadfruit starch, prepared by separately mixing amyloses extracted from five cultivars (GJS, FSS, SMS, SS and CS) with amylopectin extracted from GJS, having the highest degree of polymerization among amylopectins from these cultviars, at a 1:1 ratio were prepared with lauric acid (LA) and β-lactoglobulin (β-LG) and characterized for supramolecular structure and digestion kinetics by high-performance size-exclusion chromatography (HPSEC), X-ray diffraction (XRD), small-angle X-ray scattering (SAXS), differential scanning calorimetry (DSC), atomic force microscopy (AFM), and Fourier transform infrared (FTIR) spectroscopy. All five complex samples displayed obvious characteristic peaks of ternary complexes, V-type crystalline structure and rodlike molecular configuration. As the degree of polymerization of amylose increased, the complexing index (CI) (from 68.81% to 83.55%), relative crystallinity (from 21.10% to 28.35%), short-range order (from 0.44 to 0.63), molecular mass (from 2.90 × 106 to 8.02 × 106 Da), molecular density index (from 3.50 to 23.07 g/(mol·nm3), gelation temperature (from 98.52 to 103.71 ℃), and gelation enthalpy (from 13.95 to 18.73 J/g), second-order kinetic rate constant (from 1.00 × 10-2 to 2.92 × 10-2 min-1) increased, while the semicrystalline lamellae thickness (from 3.20 to 4.82 nm), mass fractal dimension (from 1.28 to 1.81), characteristic length of crystallite unit (from 6.33 to 7.01 Å), radius of gyration (from 70.31 to 93.94 nm), and nanosurface “blocklet” size (from 7.05 to 15.03 nm) dropped, which led to a decrease of in vitro glycemic index (from 78.83 to 85.71). Statistical analysis showed that the degree of polymerization of amylose could remarkably affect the multiscale superstructure of the ternary complexes, which in turn could change its digestion kinetics. The results provide new theoretical guidance for the production of starch-based multicomponent foods.

As a commonly used physical intervention, electrical stimulation (ES) has been demonstrated to be effective in the treatment of central nervous system disorders. Currently, researchers are studying the effects of electrical stimulation on individual neurons and neural networks, which are dependent on factors such as stimulation intensity, duration, location, and neuronal properties. However, the exact mechanism of action of electrical stimulation remains unclear. In some cases, repeated or prolonged electrical stimulation can lead to changes in the morphology or function of the neuron. In this study, immunofluorescence staining and Sholl analysis are used to assess changes in the neurite number and axon length to determine the optimal pattern and stimulation parameters of ES for neurons. Neuronal death and plasticity are detected by TUNEL staining and microelectrode array assays, respectively. mRNA sequencing and bioinformatics analysis are applied to predict the key targets of the action of ES on neurons, and the identified targets are validated by western blot analysis and qRT-PCR. The effects of alternating current stimulation (ACS) on neurons are more significant than those of direct current stimulation (DCS), and the optimal parameters are 3 μA and 20 min. ACS stimulation significantly increases the number of neurites, the length of axons and the spontaneous electrical activity of neurons, significantly elevates the expression of growth-associated protein-43 (GAP-43) without significant changes in the expression of neurotrophic factors. Furthermore, application of PI3K/AKT-specific inhibitors significantly abolishes the beneficial effects of ACS on neurons, confirming that the PI3K/AKT pathway is an important potential signaling pathway in the action of ACS.

In this research, we have used a green approach to vanadium nanoparticle (NP) synthesis by the Salvia leriifolia watery extract. The NP characterization was performed by field emission scanning electron microscopy, fourier transform infrared, X-ray diffraction, and energy-dispersive X-ray spectroscopy. The NPs materialized in spherical morphology with an average size of 26.26 nm. The antioxidant activity was assessed using 2-2 diphenyl-1-picrylhydrazil (DPPH) assay, while the 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) assay was used to measure anti-colorectal cancer (against HCT-15‎, COLO 320, Caco-2, DLD-1‎, HT-29, and HCT-116 cell lines) and cytotoxicity (against HUVEC cell line) activity of vanadium NPs. Cancer cell line viability decreased dose dependently in the presence of V NPs. The half-maximal inhibitory concentration (IC50) values of V NPs were 149, 125, 173, 83, 131, and 105 µg/mL against Caco-2, COLO 320, DLD-1‎, HCT-15‎, HCT-116‎, and HT-29 cell lines, respectively. In radical scavenging activity, V NPs scavenged DPPH with the IC50 value of 33 µg/mL.

Cyclin-dependent kinase 5 (Cdk5) activity is specifically active in neurogenesis, and Cdk5 and neocortical neurons migration related biomarker are expressed in Cos-7 cells. However, the function of Cdk5 on the transformation of immortalized Cos-7 cells into neuronal-like cells is not clear.

The scraper conveyor chain transmission system is prone to frequent faults due to its complex load bearing capacity. However, traditional fault diagnosis requires a large amount of prior knowledge and subjective intervention, which requires high technical personnel. In order to achieve the autonomy, accuracy, and efficiency of fault warning for the scraper conveyor chain transmission system, a fault warning method for the scraper conveyor chain transmission system based on LSTM-Adam is proposed using the powerful data mining capability of deep learning. Firstly, a monitoring system for the working conditions of the scraper conveyor is built based on configuration technology. The system collects real-time operating data of the scraper conveyor, such as the torque and speed of the output shaft of the reducer, the pressure of the middle groove plate, the vibration acceleration in the vertical direction of the scraper, and the strain in the running direction of the scraper chain. The data is cleaned and normalized in min-max to provide data support for fault warning. Secondly, a prediction model is built based on LSTM and trained and optimized using the Adam optimization algorithm to obtain the optimal LSTM Adam prediction model. Finally, the real-time operating data of the scraper conveyor is imported into the LSTM-Adam prediction model to obtain the predicted values of the scraper conveyor operating parameters. The sliding weighted average method is used to calculate the residual between the predicted value and the true value. The maximum residual of the same type of data under normal operating conditions is used as the warning threshold. When the residual exceeds the warning threshold, an early warning is given. The experimental results show that the LSTM-Adam prediction model can accurately predict the trend of strain data of the scraper chain and provide accurate warnings for stuck chain and broken chain faults.

USRP (ultrasonic surface rolling processing) was used to change the surface layer of 6061 aluminum alloy, so as to realize the change of the second phase microstructure of 6061 aluminum alloy by USRP under different static pressure conditions to improve corrosion resistant, which was characterized by using scanning electron microscopy, laser confocal microscopy, scanning Kelvin probe force microscopy, etc. Based on the principle of microzone galvanic corrosion and considering the impedance of solution and oxide, the correlation law between the size of the second phase and the development of local corrosion was obtained. The effect of the size of the second phase on the development of local corrosion was verified by in-situ observation using laser confocal microscope. The results show that the initial self-corrosion current density of aluminum alloy in 3.5%(mass fraction) NaCl solution is only 1/15 of that of the untreated sample, the corrosion rate is reduced by 93.04%, when the surface layer is rolled with 0.10 MPa static pressure. The Mg2Si phase has no significant morphology change during the rolling process, and it has no significant effect on the corrosion performance before and after USRP. The AlFeSi phases with long strip continuous distribution are refined into micro- and nano-scale dispersion distributions under the action of USRP. The fully refined AlFeSi phase weakens the galvanic corrosion effect due to the reduction of the local anode/cathode area ratio of the corrosion microcell, which promotes the metastable pitting nucleation rate of the aluminum alloy matrix, but also cause the rapid dissolution of the aluminum alloy itself. When self-dissolution occurs or Al2O3 oxide film is formed in the inner wall of metastable corrosion hole, the electrochemical corrosion effect of AlFeSi relative to aluminum alloy matrix is greatly weakened, so as to improve the corrosion resistance of 6061 aluminum alloy as a whole.

In this paper, based on the research background of recovering uranium from wet-process phosphoric acid(WPA) by amino phosphonate acid chelating resin, the distribution of uranium in single particle amino phosphonate chelating resin was studied. The results show that the optimal laser frequency of LA-ICP-MS is determined to be 6 Hz, the beam spot diameter is 44 μm, and the energy density is 6 J/cm2. The resin with saturated adsorption and the resin with complete elution were selected as the external standard of the adsorption and leaching process, and the homogeneity test was carried out. The relative standard deviation of uranium content in the resin with saturated adsorption and the resin with complete elution are 3.87% and 3.52%(n=9), respectively. Uniformity is good. In situ microzone analysis of uranium in amino phosphonic acid chelating resin was carried out by LA-ICP-MS. The adsorption process of uranium on the resin is gradually completed from the outside to the inside, and the leaching process is gradually completed from the outside to the inside, and the concentration of uranium inside and outside the resin is gradually uniform and unified, and finally reaches adsorption saturation and leaching complete.

Based on the coupling of hydride generation (HG) and microwave plasma torch (MPT), a rapid and sensitive method of hydride generation-microwave plasma torch-mass spectrometry (HG-MPT-MS) for arsenic under atmospheric condition was developed. The mass spectral behavior of arsenic under different ionization conditions was investigated. In both positive and negative ion modes, arsenic displayed characteristic mass spectrum peaks, which was significantly different from electrospray ionization (ESI), inductively coupled plasma (ICP) and other common ionization techniques. HG-MPT-MS enabled ionization of analytes at molecular level, and it formed adduct ions with NO3-, and even dimers of arsenate ions. Due to the combination of hydride generation and microwave plasma torch, the background noise and the signal intensity of analytes were greatly improved. Therefore, this method was suitable for direct mass spectrometry analysis of trace arsenic in complex samples. In addition, the influence of HCl concentration on the signal intensity, and the regulation of arsine generation behavior by microwave power were studied. Compared with ICP, microwave plasma torch showed more obvious advantages on the analysis of arsenic, such as extremely low power and argon consumption, soft ionization and continuous energy regulation. The total ion chromatography (TIC) and the extracted ion chromatography (EIC) of all analytes displayed good signal stability and peak shape. In addition, arsenic concentration and its signal intensity showed a good linear relationship (R2>0.998) in the concentration range of 1-500 μg/L, and the detection limit was 0.02 μg/L. This method was applied to analysis of a reference water standard and two real water samples of lake water and river water. The results showed that the determined value was in agreement with the certified value for the reference standard. Spiked recoveries of the river water and lake water samples ranged from 95.0% to 105.0% with the relative standard deviation (RSD) of 8.0%-11.0%. On the other hand, the commonly used hydride generation-atomic fluorescence spectrometry (HG-AFS） was also compared with MPT and ICP, which was more economic on power and argon consumption, and had even lower detection limit. However, MPT might have more advantages on simultaneous analysis of multi-elements, such as As, Sb, Bi, Se, Te, Hg and so on. This method was expected to provide a useful tool for sensitive analysis of As and other metalloids from complex matrices.

In order to evaluate the insulation condition of oil-immersed transformers effectively, a weight allocation method considering expert experience and degradation state is proposed in this paper. Firstly, a hierarchical structure for insulation condition evaluation is built based on dissolved gas in oil, ambient temperature and defect information, and subjective weights is assigned to each index based on expert experience. Then, the method of combined weight is adopted to introduce entropy weight into the weight allocation of index layer, thus weights of the index layer are dynamically adjusted to reflect the differences in the individual operation process while retaining expert experience for the criterion layer. Furthermore, the transformer insulation state is subdivided into five states from common four to realize more accurate perception of insulation state. Finally, case study of four 500 kV transformers shows that the method proposed can effectively identify normal transformers and discriminate abnormal transformers compared with the method based only on objective or subjective weight, which verifies the rationality of the method.

This study is a process for the preparation of advanced nickel–iron alloys by selective reduction of nickel-poor laterite ores using a variety of reducing agents. The first part of the experiment was the reduction of nickel laterite ore using natural gas; the reduction yielded mostly nickel metal and a small amount of iron forming fine nickel–iron particles. Fine nickel–iron particles are formed through the reduction of nickel and a small amount of iron oxides. These particles are dispersed and embedded within silicates. Additionally, H2S present in natural gas reacts with iron oxide, resulting in the formation of FeS. This, in turn, forms a low melting point eutectic with Fe, which reduces surface tension and promotes the growth and aggregation of nickel–iron particles. This study aimed to investigate the effects of various parameters such as roasting temperature, roasting time, natural gas concentration, and nickel laterite pellet on the formation and aggregation of ferronickel particles in low-grade nickel laterite ores. The results showed that the optimum reduction parameters were achieved at 900°C, 120 min, 40% natural gas concentration, and 40–60 mesh nickel laterite size, with roasting temperature being the most important factor followed by natural gas concentration, roasting time, and nickel laterite pellet. Using these parameters, the metallization rates of Ni and Fe were found to be as high as 95.3 and 8.5%, respectively.

Non-traumatic lower limb ischemic diseases are extremely rare among young people. Clinically, they are mainly seen in the form of popliteal artery entrapment syndrome (PAES). In addition, with the prevalence of COVID-19 infection, more and more studies report that COVID-19 infection may lead to arteriovenous thrombosis, which could cause lower limb ischemia. This case reported that a 31-year-old male amateur football player who developed intermittent claudication after recovering from COVID-19. After 2 months of consultation, he was ultimately diagnosed with PAES. As is well known, PAES is mostly caused by long-term compression of the popliteal artery by abnormal anatomical structures, resulting in thickening of the vascular outer membrane and progression of the disease until intimal damage and thrombosis, leading to lower limb ischemia. During the progression of the disease, there may be multiple factors that accelerate its progression. Therefore, combined with the patient's clinical history and related studies on confirmed thrombosis caused by COVID-19, we can infer that COVID-19 could accelerate the occurrence of PAES.

Network general knowledge course is a meaningful way to cultivate comprehensive quality talents in Chinese higher education based on the modern information technology environment, and the optimization of network general knowledge course teaching is directly related to whether the network general knowledge course can be effectively implemented, which affects the overall effect of talent cultivation. In this paper, starting from the purpose and goal of humanities general education courses, the optimization direction of teaching general education courses using artificial intelligence is clarified. Skeletal sequence feature extraction is used to obtain students’ general education classroom behavior data, and a stackable multimodal attention module consisting of a self-attention layer and a multimodal co-attention layer is designed for feature fusion and action prediction based on multimodal characteristics. After data integration and processing, the HGCL-LG network model is proposed to complete the diagnosis of students’ general knowledge cognition. The trend of interest assessment and multimodal model calculation value is consistent. In contrast, the student’s interest attention in general knowledge classroom above 0.33 accounts for more than 40% of the overall information, and the interest attention is good. Students’ scores on the objective questions of general knowledge are good; the average score range is between 1.5 and 2 points, the degree of dispersion is small, and the mastery of basic knowledge of general knowledge is good.

With the change in knowledge production mode, “inter-specialization of drama, film and literature” has become an important cradle of innovation. In this paper, under the perspective of new media, we have constructed an interdisciplinary talent cultivation mode of drama, film, and literature and its quality evaluation index system, and after standardizing the indexes by using the extreme value method, we calculate the index weights of the inter-disciplinary talent cultivation quality evaluation system by using the entropy weight method. Combining the indicators obtained at all levels and the gray correlation analysis method, the quality level of interprofessional talent training in drama, film, and literature is comprehensively evaluated. To further explore the effectiveness of inter-specialty talent cultivation in drama, film, and literature, a quantitative analysis is carried out with the drama, film, and literature major of T College of Arts as an example. The results show that: In the evaluation of talent cultivation quality, the weight values of ideological and moral level and relocatable ability are 0.342 and 0.207, and the overall proximity of the overall level of interprofessional talent cultivation of drama, film, and literature from 2018 to 2022 has been increased by 0.16. The enhancement of the quality of interprofessional talent cultivation of drama, film, and literature needs to break down the current professional barriers, coordinate the planning, share the resources, and collaborate in the cultivation of human beings to ensure that inter-professional education is steadily promoted and the quality of talent cultivation is effectively improved.

In this paper, a static gesture classification model based on a convolutional neural network is proposed to achieve the goal of efficient interaction control and fast response time for gesture recognition, and hand feature extraction is achieved by using alternating convolution and pooling. In the convolutional neural network, image data is obtained by preprocessing operations such as adaptive thresholding and functions such as Gaussian filtering to provide data for the convolutional neural network structure to build the recognition model, which is used to quantify the edge characteristics of the image and construct the image edges with gradient amplitude to build the static gesture recognition algorithm for Kinect. In the accuracy rate for gesture interaction, the average recognition rate for slow movement is 96.5%, while when the interactive gesture is recognized at an accelerated speed, its recognition rate slips to 93.1%, and the total average recognition rate reaches 95.2%.

In this paper, we first propose the basic technical support and service and management of university intelligent physical education composition, and on this basis, we propose a teaching quality assessment model based on multivariate statistical analysis and regression analysis. Among them, multivariate statistical analysis is used to calculate the factor loadings A of physical education teaching, and multiple linear regression is used to establish the teaching quality assessment model and test it. Finally, an empirical analysis of teaching quality assessment was conducted with smart physical education as an example. The results show that the comprehensive assessment value of smart physical education teaching quality based on a multiple linear regression model is very close to the actual value, and the error value ranges from [0.003 to 0.027]. The error values are smaller than [0.0135~0.0921] of the ANN model and [0.0635~0.1033] of the neural network model. The research in this paper can provide scientific quality assessment methods and theoretical support for smart physical education in colleges and universities to promote the development of smart physical education and improve teaching quality in colleges and universities.

AbstractAiming at the existing deep learning classification model for power corridor point cloud still need to improve the classification efficiency and the robustness of the classification model to meet the requirements of practical applications. An improved classification model based on PointNet++ is proposed. Based on the fact that the main features of the power corridor scene are power lines, poles, and vegetation, the initial data are first optimally filtered, and then the ensemble abstraction module of the classical PointNet++ is modified to better adapt to the power corridor scene. Finally, h-Swish is used as the activation function to realize the accurate classification of the features of the power corridor scene, and the training time of deep learning is also greatly reduced. The experimental results show that the improved algorithm achieves an average F1 value of 97.58%, which is 3.62 percentage points higher than the classical PointNet++. Therefore, the algorithm has great potential in point cloud classification.

During the forming of aramid paper honeycomb sandwich component of aircraft composites in the autoclave, the structure bears thermo-mechanical coupling case, and it may exist the phenomenon of the honeycomb crack during the forming. The tensile, compressive, shear and thermal properties of aramid paper honeycomb core are obtained by testing. Meanwhile, the numerical simulation of thermo-mechanical sequential coupling of the whole honeycomb sandwich component and the local core area are carried out by combining the finite element analysis method and the inversion method. The results show that the thermal stress during the forming process will not cause the adhesive layer between honeycomb cells to crack, but gas pressure will. The difference value of pressure difference between honeycomb cells required for adhesive layer′s slight destruction and complete destruction is positively related to the initial normal fracture stress of adhesive layer. The pressure difference required for the adhesive layer′s complete destruction is decreased with the increase of the number of loaded cells.

Due to the lack of domestic 980 nm pump laser design experience and production process, the key technology of high power 980 nm pumped laser to break through. In this paper, a 980 nm pump laser with 400 mW output power has been successfully developed by using a domestic solution, including the design and implementation of chips, gratings and coupling fibers. By using the all metallized package directly coupled with wedge-shaped fiber and selecting the double grating structure for wavelength locking, the wavelength stability of the 980 nm pumped laser with 400 mW output power in the operating temperature range of -50~75 ℃ can reach 0.01 nm/ ℃. Moreover the 980 nm pump laser has passed the 800 mA charge aging at 75 ℃ for more than 5 000 h. This has laid a foundation for the research of domestic pump lasers with high reliability.

Atmospheric corrosion has a significant impact on the safe operation of power transmission and transformation equipment in power grids.At present，the atmospheric corrosion resistance and anti-corrosion technology of steel widely used in the field of power transmission and transformation equipment cannot meet power grid construction and long service life requirements.In this paper，current situation of atmospheric corrosion of power transmission and transformation equipment was described first，then the influence of environmental parameters such as atmospheric composition，atmospheric relative humidity，temperature，chemical composition and microstructure of steel on the corrosion rate and corrosion mechanism of power grid equipment were pointed out.Furthermore，combined with the atmospheric environment conditions in Guizhou province，the key problems to be solved in the application of weathering steel in Guizhou power grid were analyzed.Finally，it was proposed that through on-site exposure test，accelerated test and development of on-line monitoring technology，not only massive corrosion data could be collected，corrosion rating could be achieved and a complete atmospheric corrosion grade map could be established，but also the corrosion mechanism of weathering steel in a specific atmospheric environment could be obtained by combining big data processing and machine learning methods to provide technical support for the safe operation of weathering steel in power grid equipment instead of ordinary carbon steel and related equipment.

The traditional monitoring methods for coal mine roadway deformation have problems such as incomplete data collection, non intuitive data format, poor precision, and inability to achieve continuous monitoring of the entire roadway deformation. In order to solve the above problems, a deformation monitoring method for coal mine roadway based on 3D laser scanning is proposed. Firstly, the method uses 3D laser scanning technology to obtain real 3D point cloud data of coal mine roadways. Secondly, the deep learning model VoxelNet is used to detect and denoise 3D laser scanning data, converting unordered point cloud data into high-dimensional feature data. The Alphashape algorithm is used to fit the discrete points of the extracted roadway cross-section. The multi-dimensional difference calculation based on the difference method is used to obtain specific data of roadway deformation, achieving full coverage of roadway deformation monitoring in the mining area. The 3D laser scanning technology is applied to deformation monitoring of the 30507 working face in Tashan Coal Mine. The cross-sectional analysis and 3D overall analysis are conducted on the 3D point cloud data of the roadway. The analysis results indicate that the main deformation in the area can be directly observed through the relative deviation of the section contour of the second stage roadway. If the upper contour deviates inward, the roof will collapse. If the lower contour deviates outward, the floor will bulge. As the distance between the measuring point and the working face gets closer, the color of the attached color model leans towards red and blue. The darker the color, the greater the deformation of the roadway.

Multiple myeloma (MM), the seco nd most common haematological malignancy, is currently incurable because patients often develop multiple drug resistance and experience subsequent relapse of the disease. This study aims to identify a potential therapeutic agent that can counter bortezomib (BTZ) resistance in MM. DCZ0358, a novel alkaloid compound, is found to exert potent cytotoxic effects against BTZ-resistant MM cells in vivo and in vitro. The anti-myeloma activity of DCZ0358 is associated with inhibition of cell proliferation, promotion of cell apoptosis via caspase-mediated apoptotic pathways, and induction of G0/G1 phase arrest via downregulation of cyclin D1, CDK4, and CDK6. Further investigation of the molecular mechanism shows that DCZ0358 suppresses the JAK2/STAT3 signaling pathway. In conclusion, DCZ0358 can successfully counter BTZ resistance in MM cells. This study provides evidence that warrants future preclinical assessments of DCZ0358 as a therapeutic agent against BTZ resistance in MM.

Aiming at the problems existing in the current mechanisms of delay guarantee in wireless networks(i.e. poor scalability, coarse granularity for provided service levels, and improving delay performance at the expense of sacrificing some resource utilization), this paper puts forward both the idea of particle access and the corresponding access mechanism. In this paper, a traffic flow is modeled as a group of information particles that carry a certain amount of information and are valid for certain periods of time. Firstly, the definitions of information particles and the group of information particles are given. It is proved that the minimum reachable access bandwidth of an information particle group can be achieved by using the EDF(earliest deadline first) transmission strategy. Moreover, a fine-grained mechanism of delay guarantee based on the idea of particle access is proposed for the dynamic access environment in wireless networks. Extensive simulations are carried out for the application scenario of downlink transmissions, and it is shown that, in the case of heavy traffic loads, comparing with the rapid growth of the average packet delays and the packet loss rates in a legacy access mechanism, the proposed fine-grained access strategy based on the idea of particle access can also achieve the better performance on the average packet delays and the packet loss rates, and hence higher effective throughput is obtained. The research in this paper pave a new way for further improving quality of service (QoS) mechanisms of wireless networks.

In order to minimize the maximum weighted response time for any node in the network to reach the central control node, a central control node election algorithm based on dynamic programming is proposed. Firstly, the response times of nodes and links in the wireless network are modeled as the node weights and edge weights in the network topology, and then the central control node election problem that minimizes the maximum weighted response time for any node in the network to reach the central control node is modeled as the central problem, where represents the number of central control nodes. Then, by using the interpolation method based on dynamic programming, the weighted response time between the two points can be obtained, and the K-central problem modeled is transformed into several R-control set problems. Then, several control R-set problems are transformed into several 0-1 integer programming problems, and each integer programming problem can be solved one by one by using the branch and bound method. Finally, a simplified implementation method based on the above algorithm is given when K=1, the optimality of the proposed algorithm is proved and the complexity of the algorithm is analyzed. Simulation results show that the proposed central control algorithm can minimize the maximum weighted response time of the network.

Abstract Impaired protein N-glycosylation leads to the endoplasmic reticulum (ER) stress, which triggers adaptive survival or maladaptive apoptosis in renal tubules in diabetic kidney disease (DKD). Therapeutic strategies targeting ER stress are promising for the treatment of DKD. Here, we report a previously unappreciated role played by ENTPD5 in alleviating renal injury by mediating ER stress. We found that ENTPD5 was highly expressed in normal renal tubules; however, ENTPD5 was dynamically expressed in the kidney and closely related to pathological DKD progression in both human patients and mouse models. Overexpression of ENTPD5 relieved ER stress in renal tubular cells, leading to compensatory cell proliferation that resulted in hypertrophy, while ENTPD5 knockdown aggravated ER stress to induce cell apoptosis, leading to renal tubular atrophy and interstitial fibrosis. Mechanistically, ENTPD5-regulated N-glycosylation of proteins in the ER to promote cell proliferation in the early stage of DKD, and continuous hyperglycemia activated the hexosamine biosynthesis pathway (HBP) to increase the level of UDP-GlcNAc, which driving a feedback mechanism that inhibited transcription factor SP1 activity to downregulate ENTPD5 expression in the late stage of DKD. This study was the first to demonstrate that ENTPD5 regulated renal tubule cell numbers through adaptive proliferation or apoptosis in the kidney by modulating the protein N-glycosylation rate in the ER, suggesting that ENTPD5 drives cell fate in response to metabolic stress and is a potential therapeutic target for renal diseases.