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C24H25FN4O10, triclinic, P1̄ (no. 2), a = 7.7217(3) Å, b = 9.9451(4) Å, c = 15.9291(6) Å, α = 101.741(1)∘, β = 98.762(1)∘, γ = 96.148(1)∘, V = 1171.56(8) Å3, Z = 2, Rgt(F) = 0.0389, wRref(F2) = 0.1162, T = 170 K.

ObjectiveTo analyze the changes in HIV， syphilis and hepatitis C prevalence among men who have sex with men （MSM） in Taizhou City， Zhejiang Province from 2017 to 2022， and the utilization of HIV intervention services and its influencing factors.MethodsMSM participants were recruited from HIV sentinel surveillance in Taizhou through snowball sampling method. Participants’ socio-demographic characteristics， sexual behavior characteristics， knowledge of HIV and utilization of HIV intervention services were collected and statistically described by questionnaire survey. Blood samples from MSM sentinel population were also collected for HIV， syphilis， and HCV antibody testing. Multivariate logistic regression analysis was used to analyze the influencing factors for utilizing HIV intervention services among MSM.ResultsA total of 2 499 MSM were included in the analysis from 2017 to 2022， with HIV prevalence of 5.8%， syphilis prevalence of 4.0%， and HCV prevalence of 0.6%. The infection rate， proportion of homosexual anal sex and heterosexual sex showed a decreasing trend， while the proportion of condom use during homosexual anal sex， condom publicity and distribution， AIDS consultation and testing， acceptance of peer education， and online temporary homosexual sex showed an increasing trend. All these differences were statistically significant. Multivariate logistic regression analysis showed that COVID-19 epidemic （aOR=1.66， 95%CI：1.04‒2.64） and HIV knowledge awareness （aOR=2.57， 95%CI：1.22‒5.40） were positively correlated with increased acceptance of condom publicity and distribution， and utilization of AIDS counseling and testing. Those who sought male sexual partners through offline route （aOR=3.44， 95%CI： 1.16‒10.21）， and had a history of sexually transmitted diseases within one year （aOR=5.47， 95%CI： 1.04‒28.76） were positively correlated with community-based methadone maintenance therapy， clean needle provision and exchange services， while COVID-19 epidemic （aOR=0.35， 95%CI： 0.14‒0.88） was negatively correlated with the utilization of these services. COVID-19 epidemic （aOR=2.11， 95%CI： 1.54‒2.89）， HIV knowledge awareness （aOR=2.09， 95%CI： 1.08‒4.02）， offline search for male sexual partners （aOR=1.47， 95%CI： 1.03‒2.11）， and awareness of HIV infection of sexual partners （aOR=2.09， 95%CI： 1.62‒2.69） were positively correlated with the increased use of peer education service， while married or cohabited （aOR=0.73， 95%CI： 0.55‒0.98） and VCT （aOR=0.61， 95%CI： 0.46‒0.82） were negatively correlated with utilization of peer education service.ConclusionHIV infection rate of sentinel MSM population in Taizhou decreases， while the utilization of HIV intervention services increases in general. Targeted measures should be developed according to the changes in sexual behavior and HIV intervention services among MSM populations in Taizhou to improve the HIV intervention services for the MSM population.

Abstract The existing monocular depth estimation methods based on deep learning have difficulty in estimating the depth near the edges of the objects in an image when the depth distance between these objects changes abruptly and decline in accuracy when an image has more noises. Furthermore, these methods consume more hardware resources because they have huge network parameters. To solve these problems, this paper proposes a depth estimation method based on weighted fusion and point‐wise convolution. The authors design a maximum‐average adaptive pooling weighted fusion module (MAWF) that fuses global features and local features and a continuous point‐wise convolution module for processing the fused features derived from the (MAWF) module. The two modules work closely together for three times to perform weighted fusion and point‐wise convolution of features of multi‐scale from the encoder output, which can better decode the depth information of a scene. Experimental results show that our method achieves state‐of‐the‐art performance on the KITTI dataset with δ1 up to 0.996 and the root mean square error metric down to 8% and has demonstrated the strong generalisation and robustness.

Plaque vulnerability has been the subject of several recent studies aimed at reducing the risk of stroke and carotid artery stenosis. Atherosclerotic plaque development is a complex process involving inflammation mediated by macrophages. Plaques become more vulnerable when the equilibrium between macrophage recruitment and clearance is disturbed. Lipoperoxides, which are affected by iron levels in cells, are responsible for the cell death seen in ferroptosis. Ferroptosis results from lipoperoxide-induced mitochondrial membrane toxicity. Atherosclerosis in ApoE(−/−) mice is reduced when ferroptosis is inhibited and iron intake is limited. Single-cell sequencing revealed that a ferroptosis-related gene was substantially expressed in atherosclerosis-modeled macrophages. Since ferroptosis can be regulated, it offers hope as a non-invasive method of treating carotid plaque. In this study, we discuss the role of ferroptosis in atherosclerotic plaque vulnerability, including its mechanism, regulation, and potential future research directions.

Ovarian cancer is the second leading cause of death in women with gynecological malignancy in China. Circular RNAs are a class of noncoding regulatory RNAs reported to be involved in cancer development and progression. Previous studies, including our own, have indicated that hsa_circ_0007444 is downregulated in ovarian cancer tissues. This study aims to elucidate the function and mechanism of hsa_circ_0007444 in ovarian cancer progression. The expression of hsa_circ_0007444 is determined by quantitative real-time PCR (qRT-PCR). Cell proliferation, invasion, migration and apoptosis are examined by cell counting-kit 8 (CCK-8), transwell and flow cytometry assays. Tumor growth and metastasis are assessed in vivo using Balb/c nude mouse xenograft model and tail vein injection model. And the mechanism of action of hsa_circ_0007444 is analysed by RNA-binding protein immunoprecipitation (RIP), luciferase reporter and rescue assays. hsa_circ_0007444 is downregulated in ovarian cancer tissues and cell lines compared with that in normal ovarian tissues and normal epithelial cell line. Gain- and loss-of-function results indicate that hsa_circ_0007444 inhibits cell proliferation, invasion, migration and increases cell apoptosis of ovarian cancer cells in vitro, and inhibits tumor growth and lung metastasis in vivo. Mechanistically, hsa_circ_0007444 can interact with AGO2 and sponge miR-23a-3p, thereby upregulating DICER1 expression, which is an important tumor suppressor in ovarian cancer. And miR-23a-3p mimics can rescue the inhibitory effect of hsa_circ_0007444 on ovarian cancer cell proliferation, invasion and migration. Therefore, hsa_circ_0007444 can inhibit ovarian cancer progression through the hsa_circ_0007444/miR-23a-3p/DICER1 axis.

In this study, a dual-probe competitive enzyme-linked immunosorbent assay (ELISA) based on magnetic nanoparticles for the simultaneous detection of fumonisin B1 (FB1), FB2 and FB3 in maize samples was established. A magnetic capture probe (MNPs-FB1) was synthesized by the active ester method, and a monoclonal antibody-horseradish peroxidase (McAb-HRP) probe was prepared by a modified sodium periodate method. The reaction conditions of the assay were optimized. The linear ranges for FB1 and the total amount of FB1, FB2 and FB3 (FBs) were 0.07–1.98 and 0.10–9.86 ng/mL, respectively. The average recoveries of FBs from spiked maize samples ranged from 86.2% to 105.1%. The correlation coefficient between the results of the developed assay and those of liquid chromatography-tandem mass spectrometry (LC-MS/MS) was 0.996 6. These results suggest that this assay is characterized by rapidity, high accuracy and good repeatability and provides a new method for the detection of FBs in maize samples.

Despite advances in antiemetics and protocolized postoperative nausea vomiting (PONV) management, it remains one of the most common postoperative adverse events. In patients who developed PONV despite antiemetic prophylaxis, giving a rescue treatment from the same class of medication is known to be of limited efficacy. Given the widespread use of 5-HT3 antagonists as PONV prophylaxis, another class of effective intravenous rescue antiemetic is in dire need, especially when prophylaxis fails, and rescue medication is utilized. Dopamine antagonists were widely used for the treatment of PONV but have fallen out of favor due to some of their side effect profiles. Amisulpride was first designed as an antipsychotic medication but was found to have antiemetic properties. Here we will review the historical perspective on the use of dopamine receptor antagonist antiemetics, as well as the evidence on the efficacy and safety of amisulpride.

Based on the potential energy method, an algorithm for modifying the meshing stiffness of helical gears is proposed. This method considers the real machining of the tooth root transition curve, which is a trajectory line formed by the tip angle of the tooth when the tool rolls into motion, and the starting point of the involute is the intersection of the tooth root transition curve and the involute. When calculating the stiffness, the tooth root transition curve equation from the root of the tooth to the starting point of the involute is used for the calculation, and the involute equation from the starting point of the involute to the top of the tooth is used in the calculation. The meshing stiffness calculated by this method is closer to the reality. Compared with the finite element method, the accuracy of the modified algorithm is verified and the calculation accuracy of the helical gear meshing stiffness is improved. Based on this method, the influence of involute shape, meshing position and contact ratio on the meshing stiffness and transmission error of helical gears is analyzed. The research results show that when the pressure angle increases, the radius of curvature of involute will increase. Thus the transverse stiffness of gears is improved. At the same time, the transverse contact ratio will firstly increase and then decrease. Under the influence of transverse stiffness and transverse contact ratio, the variation trend of average meshing stiffness is the same as that of transverse contact ratio; when the meshing position is closer to the node, the meshing stiffness will increase; an increased total contact ratio will make the average stiffness increase, and the transmission error (TE) decrease as a whole. However, when the contact ratio is close to the odd multiple of 0.5, the TE peak-to-peak value will reach a maximum value.

In advanced high-speed fiber optic communication systems, due to the introduction of dense wavelength division multiplexing technology, the signal spectral interval is getting narrower and narrower, and the traditional out-of-band Optical Signal-to-Noise Ratio (OSNR) monitoring technology is no longer accurate. Therefore, further study is required in the low-cost in-band OSNR monitoring scheme. A Deep Neural Network (DNN) link OSNR monitoring scheme for Intensity-Modulation and Direct Detection (IMDD) system is proposed. We used a 5-layer DNN trained from 550 000 datasets to successfully estimate the OSNR of the 2 GBaud On-Off Key (OOK) signal in the range of 5 to 15 dB, and the Mean Absolute Error (MAE) is less than 0.8 dB.

Based on the computational fluid dynamics, a numerical model of deep-sea landing vehicle was established to meet the requirements of deep-sea landing vehicle for large scale and long period submarine operation. The key design variables were determined by parametric analysis of the control point of the landing vehicle bow modeled line, which was carried out in the Isight software through the combination with SolidWorks and Fluent. The optimal latin Hypercube method is used to select sample points for the direct navigation resistance calculation, an approximate model of design variable-resistance was established based on the radial basis function neural network, and the optimal design of landing vehicle bow modeled line was carried out by using the adaptive simulated annealing algorithm. The optimized resistance is reduced by 14.24%, and the hydrodynamic performance is improved. This work provides a basis for the optimization design of the deep-sea landing vehicle and can also provide a reference for the numerical analysis of other submersible vehicles.

The additive friction stir deposition (AFSD) technology is a new solid-state additive manufacturing technology. The metal bars, powders, and wires are used as feedstock. During the additive process, the friction heat generated by the friction between feedstock and the plate and the plastic deformation heat generated by the severe deformation of feedstock form a viscoplastic deposition layer. The deposition layer is stacked layer by layer to form three-dimensional parts. Because of its solid phase characteristics, it has many advantages over fused-based metal additive technologies and has become a research hotspot in the field of additive manufacturing. In this paper, the latest research progress of AFSD technology at home and abroad was reviewed from four aspects of equipment development, microstructure evolution, material flow characteristics and mechanical properties change. The feasibility of the application of this technology in engineering practice was analyzed and the application prospect in the field of metal coating reinforcement for material repair parts of additive manufacturing was forecasted. Finally, it was pointed out that the heat generation mechanism, material flow characteristics, auxiliary optimization process, and intelligent equipment development are the future research directions.

This study used Cite Space to analyse the domestic literature on feedback recommendation applications between 2003 and 2023. It is found that domestic scholars have conducted in-depth research in the areas of recommender systems, collaborative filtering, and implicit feedback, focusing on hotspots such as deep learning, matrix decomposition, and user feedback. Although the existing research focuses on improving the efficiency of information access and user satisfaction, the in-depth research on multi-source feedback integration methods still faces challenges. Future research can leverage new technologies such as deep learning to mine more user behaviour data and achieve more accurate personalized recommendations.

Introduction: Artesunate, a derivative of artemisinin, has anti-malarial effects, and in recent years has also been reported to have anti-tumor activity. However, its anti-tumor mechanisms are not well understood.Methods: In this study, we focused on the targeting of Hsp90 by artesunate to inhibit tumor cell proliferation, which we examined using immunoprecipitation, a proliferation assay, flow cytometry, western blotting, a tumor xenograft animal model, and immunohistochemistry. Furthermore, to examine the tumor-suppressive effects of artesunatein nude mice, we used artesunate-loaded PLGA-PEG nanoparticles.Results: The binding of artesunate to Hsp90 was found to reduce the expression of its client proteins AKT, ERK, p-AKT, p-ERK, and EGFR, thereby blocking the cell cycle at the G0/G1 → S stage in lymphoma cells and inducing apoptosis. In addition, the results of tumor xenograft experiments revealed that artesunate reduced the expression of AKT and ERK proteins in tumor tissues, inhibited tumor proliferation, and reduced tumor size and weight. Furthermore, nanoparticle encapsulation was demonstrated to enhance the anti-cancer activity of artesunate.Discussion: We thus established that artesunate inhibits the proliferation of lymphoma cells by targeting the Hsp90 protein, and we accordingly believe that this compound has potential for development as a novelanti-tumor drug.

Physalis pubescens L. is an annual or perennial plant in the family Solanaceae It is used in traditional medicine for treating sore throats, coughs, urinary discomfort, and astringent pain, and externally for pemphigus and eczema in northern China. The proliferation inhibitory activity and mechanisms of the ethyl acetate extract (PHY-EA) from the leaves of Physalis pubescens were investigated. High performance liquid chromatography was used to identify the chemical composition of PHY-EA; sulforhodamine B was used to detect the proliferation inhibitory effect of PHY-EA on MCF-7, CA-46, Hela, HepG2, B16, and other tumor cells; flow cytometry was used to detect the effect of PHY-EA on the lymphoma cell cycle and apoptosis; Western blot was used to detect the expression of the cycle- and apoptosis-related proteins. The expression of Ki-67 and cleaved caspase 3 was detected by immunohistochemistry. The results showed that PHY-EA contained physalin B, physalin O, and physalin L. PHY-EA blocked the cell cycle of G2/M→G0/G1 in lymphoma cells and induced apoptosis in tumor cells. Mouse transplantation tumor experiments showed that PHY-EA had a significant inhibitory effect on mouse transplantation tumors, and the tumor volume and weight were significantly reduced. In conclusion, PHY-EA has a good antiproliferative effect on Burkkit lymphoma, indicating its potential medicinal value.

Traditional Chinese medicine (TCM) is applied in various forms, such as decoction pieces, raw powder, extract, and patent Chinese medicine, etc. Controlling exogenous microbial contamination, ensuring the safety and effectiveness of traditional Chinese medicine, and selecting the appropriate sterilization technology are the key factors regarding its use. In this study, the literature on sterilization of TCM published from 2001 to 2021 was retrieved from CNKI, Wanfang, VIP, and Web of Science. Subsequently, visualization analysis software named VOSviewer and CiteSpace were used to analyze the application status and trend in TCM sterilization methods in the past 20 years. After screening was performed, 322 studies were included. The journal that published the highest number of studies on TCM sterilization was Electromechanical Information. The author's cooperative network analysis found that the Chinese medicine sterilization field mainly formed the China Institute for Food and Drug Control and Guangzhou Institute for Drug Control and other core research teams. Keywords in the literature show that the research on TCM sterilization of traditional Chinese medicine mainly focuses on irradiation, microwave, preparation process, active ingredients, drying, fingerprint, etc. The advantages and disadvantages of different sterilization technologies and their suitable scopes, combined with the future development trend in TCM sterilization, were comprehensively discussed for in-depth analysis, to provide a reference for researchers in selecting appropriate sterilization methods. To further promote the scientific development of TCM sterilization, the authors propose that TCM sterilization should be closely combined with technology, equipment, and policy in the future to facilitate rapid modernization of TCM.

Objective To investigate the effect of refined nursing management in complete denture prosthodontics for elderly patients with low and flat alveolar ridge. Methods The clinical data of 44 elderly patients with low and flat alveolar ridge requiring complete denture prosthodontics were retrospectively analyzed. All patients received the refined nursing management after admission. The condition of denture restoration was evaluated. Results The dental restoration was not ideal in 17 patients wearing complete denture for the first time. The Satisfaction with return visit was 95. 45%(42/44) and 100. 00%(44/44) at 1 month and 3 months after discharge, respectively. Conclusion The effect of adopting refined nursing management for elderly patients with low alveolar ridge is very remarkable, with high satisfaction with nursing service mode and attitude, which has clinical promotion value. (目的 探讨精细化护理在牙槽嵴低平老年患者全口义齿修复中的应用效果。方法 回顾性分析44例牙槽嵴低平需要进行全口义齿修复的老年患者的临床资料, 患者入院后均开展精细化护理干预, 观察患者义齿修复情况。结果 44例患者中, 修复效果不佳者仅17例, 均为全口义齿初戴的患者。患者1、3个月复诊满意度分别为95. 45%(42/44)和100. 00%(44/44)。结论 精细化护理的应用有助于提高牙槽嵴低平老年患者全口义齿修复效果, 提升患者护理满意度。)

ObjectiveTo determine the characteristics and influencing factors of hepatitis C virus （HCV） co-infection among HIV concordant couples in Dehong Prefecture.MethodsUsing the data of newly reported HIV concordant couples in Dehong Prefecture from 2016 to 2019， we collected the demographic characteristics， exposure history， and HCV infection to determine the characteristics of HCV co-infection among HIV concordant couples.ResultsAmong the 160 HIV concordant couples included in the study， 46 （28.8%） males and 14 （8.8%） females were co-infected with HCV. The prevalence of HIV-HCV co-infection was higher among the male spouses who were diagnosed less than 40， Jingpo ethnic， Burmese， illiteracy， farmers， and intravenous drug users. In contrast， the prevalence of HIV-HCV co-infection was higher among the female spouses who were diagnosed less than 40， Jingpo ethnic， and Burmese. Logistic regression analysis among male spouses showed that the Jingpo ethnic and intravenous drug users had higher risk of HCV co-infection.ConclusionHIV concordant couples in Dehong Prefecture have high prevalence of HIV-HCV co-infection. Effective intervention strategies should be developed based on ethnic-specific factors and exposure characteristics among male and female spouses of HIV concordant couples.

CRISPR-based genome editing technologies continue to drive major advances in life sciences. A major challenge for realizing widespread use of genome editing in plants and agriculture is establishing methods that enable the rapid, comprehensive, and precise evaluation of editing technologies using transient methods. Here we report a new and rapid genome editing evaluation method using Agrobacterium infiltration techniques to enable broad-spectrum, simplistic, and precise assessments of genome editing efficiencies. We employed an anthocyanin marker to facilitate visual screenings of genome-edited cells for use in adult strawberry fruits as well as tomato fruits, cotton leaves, and sugar beet leaves. Using this method, we demonstrate the ability to quickly measure genome editing efficiencies mediated by SpCas9, LbCas12a, A3A-PBE, ABE8e, and PPE. This new method will allow researchers to rapidly and easily evaluate genome editing tools across a broad spectrum of plant species, further expediting the development of genome-edited agricultural crops.

ObjectiveThis study aimed to investigate a new noninvasive traction method on the treatment of severe cervical kyphotic deformity.MethodsThe clinical data of patients with severe cervical kyphosis (Cobb > 40°) treated in Peking University Third Hospital from March 2004 to March 2020 were retrospectively summarized. 46 cases were enrolled, comprising 27 males and 19 females. Fifteen patients underwent skull traction, and 31 patients underwent suspensory traction. Among them, seven used combined traction after one week of suspensory traction. Bedside lateral radiographs were taken every two or three days during traction. The cervical kyphosis angle was measured on lateral radiographs in and extended position at each point in time. The correction rate and evaluated Japanese Orthopedic Association (JOA) scoring for the function of the spinal cord were also measured. The data before and after the operation were compared with paired sample t-test or Wilcoxon signed-rank test.ResultsNo neurological deterioration occurred during the skull traction and the cervical suspensory traction. There were 12 patients with normal neurological function, and the JOA score of the other 34 patients improved from 11.5 ± 2.8 to 15.4 ± 1.8 at the end of follow up (P

Objective To explore the risk factors of pain in de novo Parkinson's disease (PD) patients. Methods A total of 129 de novo PD patients collected from The Affiliated Brain Hospital of Nanjing Medical University from October 2018 to September 2021 were included. According to the Item ⁃17 of the Unified Parkinson's Disease Rating Scale Ⅱ (UPDRSⅡ⁃17th), patients were classified as PD patients without pain (UPDRSⅡ⁃17th was 0, n = 88) and PD patients with pain (UPDRSⅡ⁃17th ≥ 2, n = 41）. Mini⁃ Mental State Examination (MMSE) and corrected Montreal Cognitive Assessment (corrected MoCA) were used to assess cognitive function. Meanwhile, Hamilton Depression Rating Scale ⁃24 Items (HAMD ⁃24) was used to assess the depression status and the UPDRSⅢ was used to assess the motor function. The modified version of Hoehn ⁃Yahr staging was used to assess disease severity. The related risk factors of pain in PD patients were analyzed by univariate and multivariate forward Logistic regression. Results The in of pain in PD patients was 31.78% (41/129). Compared with PD without pain group, PD with pain group had lower scores in MMSE (Z = ﹣2.389, P = 0.017) and corrected MoCA (Z = ﹣2.166, P = 0.030), but higher scores in HAMD-24 (Z = ﹣4.024, P = 0.000), UPDRS Ⅲ (Z = ﹣3.639, P = 0.000）and Hoehn-Yahr staging grading (Z = ﹣2.232, P = 0.026). Further analysis of the differences between 2 groups in 7 domains of HAMD-24 showed PD with pain group had higher scores of the anxiety/somatization (Z = ﹣3.707, P = 0.000), mental disorder (Z = ﹣2.519, P = 0.012), retardation symptom (Z = ﹣2.048, P = 0.041), sleep disturbances (Z = ﹣3.484, P = 0.000) and despair symptom (Z = ﹣3.069, P = 0.002) than PD without pain group. Logistic regression analysis showed long duration (OR = 1.354, 95%CI: 1.013-1.809; P = 0.041), high HAMD-24 score (OR = 1.095, 95%CI: 1.033-1.162; P = 0.002) and high UPDRS Ⅲ score (OR = 1.040, 95%CI: 1.001- 1.082; P = 0.046) were risk factors of pain in PD patients. Conclusions Pain in PD has a high incidence in de novo PD patients. Long duration, a depressed state and severe motor symptoms are main risk factors for the development of pain in PD patients.

Fog computing, which provides low-latency computing services at the network edge, is an enabler for the emerging Internet of Things (IoT) systems. Offloading tasks to the fog that is closer to IoT users for processing has become a means to ensure that tasks are completed quickly. Fog computing cannot only reduce the congestion of the backbone network but also ensure that the task is completed within the specified time. Since fog resources are limited, there will be resource competition among IoT devices. How to quickly and efficiently make an optimal computation offloading decision for individual selfish IoT devices is a fundamental research issue. This article regards the process of multiple IoT devices competing for fog devices as a game and proposes a distributed computation offloading algorithm. The goal is to optimize the balance of computation delay, energy consumption, and cost for fog nodes. The competition between IoT nodes eventually reaches an equilibrium point, that is the Nash equilibrium point. We prove the existence of Nash equilibrium by Weighted Potential Game. In addition, if a large number of IoT devices select the same node for offloading, which will cause the fog node to run out of power and make some networks unable to work normally. Further, causing part of the network to be paralyzed. Therefore, the paper considers the fairness of offloading to extend the network life cycle. A calculation rate adjustment algorithm is designed for the fairness of offloading to ensure that fog nodes do not run out of power and fail. This paper not only fully considers the performance of the IoT device, but also considers the fairness of the fog. Numerous experiments proved the effectiveness of the proposed algorithm.

A method of high performance liquid chromatography tandem high resolution mass spectrometry (HPLC-HRMS) was developed for the separation and identification of chemical components in Rheum lhasaense A. J. Li et P. K. Hsiao extract. The separation of compounds was carried out on an Agilent Zorbax SBC18 column (150 mm×4.6 mm×5 μm). The mobile phase was composed with acetonitrile and water with the flow rate of 0.5 mL/min. Electrospray ionisation source (ESI) was used, and Rheum lhasaense A. J. Li et P. K. Hsiao extract was analyzed by MS and MSn full scan at positive and negative ion modes. Through comprehensive analysis of the mass spectra and chromatographic behaviors of the compounds, and comparing with the related data from standard substrates, literatures and database, the main chemical components of Rheum lhasaense A. J. Li et P. K. Hsiao extract were deduced and identified. A total of 63 compounds are identified from Rheum lhasaense A. J. Li et P. K. Hsiao extract at negative ion mode, and 54 compounds are identified at positive ionization mode. These compounds contain 22 tannins, 28 stilbenes, 6 flavonoids, 3 phenylpropanoids, 2 butyrophenones and 2 organic acids, which of 53 compounds are firstly discovered in Rheum lhasaense A. J. Li et P. K. Hsiao. And as reported in the literature, enquinones are not found. This method is fast and sensitive, which not only improves the identification efficiency of trace compounds in Rheum lhasaense A. J. Li et P. K. Hsiao complex matrix, but also achieves the analysis and identification of different types of compounds. It is helpful to provide scientific basis for further clarifying the material basisand quality control standards of Rheum lhasaense A. J. Li et P. K. Hsiao.

Auto-encoder (AE) is one of the simple and widely used unsupervised feature extraction algorithms of deep learning. Existing automatic encoders for image feature extraction remain some problems such as insufficient feature extraction and excessive model parameters, etc. Aiming at above problems, MRAE (melting reduction auto-encoder) is proposed for image feature extraction in this paper. Firstly, an “ablation network structure” is proposed in the algorithm. It can realize feature enrichment through feature cross fusion in the encoder and reduce feature loss and parameters of model by optimizing the decoding structure in the decoder. Secondly, a joint reconstruction loss function is designed. It calculates the reconstruction loss between feature layers to increase the relationship between feature layers and avoid the prematurity of the model. The experimental results show that the accuracy of the feature extracted by MRAE using different classifiers, such as SVM (support vector machine), K-means, and CART (classification and regression tree), is more than 97% on lung CT image datasets. The accuracy of the feature extracted by MRAE using fully connection is more than 90% on the CvD (cats vs. dogs) dataset.

Graphene loaded ferric oxide (G/Fe3O4) composites were prepared by chemical modification using graphene and nano-Fe3O4 as raw materials. The composites were characterized by transmission electron microscope, X-ray diffractometer and Fourier infrared spectrometer, and G/Fe3O4 composites were added to SN 5W-30 lubricating oil, and the dispersion stability and tribological properties of composites in lubricating oil were studied by plasma spectrometer and four ball friction tester. The results show that G/Fe3O4 composite materials generated by the co-modification of oleic acid and silane coupling KH570 are better dispersed on the graphene surface than with oleic acid modification alone; precipitation stability experiments show 10 days later,iron content in the lubricating oil is decreased by 48.3% without composite added,iron content is decreased by 39% with oleic acid modified composite added, and iron content is decreased by 31.1% with oleic acid and KH570 jointly modified composite; four-ball experiments show that G/Fe3O4 composites acting as lubricating oil additives have good tribological properties, the use of oleic acid and KH570 joint modification effect is better than the use of oleic acid modification, the maximum card-free bite load PB is increased by 6.5%, the diameter of the mocha is decreased by 4.4% and the coefficient of friction is decreased by 4.8%.

In planetary science, it is an important basic work to recognize and classify the features of topography and geomorphology from the massive data of planetary remote sensing. Therefore, this article proposes a lightweight model based on VGG-16, which can selectively extract some features of remote sensing images, remove redundant information, and recognize and classify remote sensing images. This model not only ensures the accuracy, but also reduces the parameters of the model. According to our experimental results, our model has a great improvement in remote sensing image classification, from the original accuracy of 85%–98% now. At the same time, the model has a great improvement in convergence speed and classification performance. By inputting the remote sensing image data of ultra-low pixels (64 * 64) into our model, we prove that our model still has a high accuracy rate of 95% for the remote sensing image with ultra-low pixels and less feature points. Therefore, the model has a good application prospect in remote sensing image fine classification, very low pixel, and less image classification.

Low back pain (LBP) is one of the most common occupational injuries that nurses experience in their daily work, which ultimately causes disability or difficulty in performing heavy physical activity. There is scarce information that presents a direct figure about the prevalence of LBP in Chinese nurses.

ObjectivesThe objective of this study was to evaluate a person-centered abortion care mobile-based intervention on perceived social stigma, social support, mental health and post-abortion care experiences among Kenyan women who received abortion services at private clinics.MethodsThis randomized controlled study enrolled women who obtained an abortion from private clinics in Nairobi county, Kenya and randomized them into one of three study arms: 1) standard of care (follow-up by service provider call center); 2) post-abortion phone follow-up by a peer counselor (a woman who has had an abortion herself and is trained in person-centered abortion care); or 3) post-abortion phone follow-up by a nurse (a nurse who is trained in person-centered abortion care). All participants were followed-up at two- and four-weeks post-abortion to evaluate intervention effects on mental health, social support, and abortion-related stigma scores. A Kruskal-Wallis one-way ANOVA test was used to assess the effect of each intervention compared to the control group. In total, 371 women participated at baseline and were each randomized to the study arms.ResultsUsing Kruskal-Wallis tests, the nurse arm improved mental health scores from baseline to week two; however this was only marginally significant (p = 0.059). The nurse arm also lowered stigma scores from baseline to week four, and this was marginally significant (p = 0.099). No other differences were found between the study arms. This person-centered mobile phone-based intervention may improve mental health and decrease perceived stigma among Kenyan women who received abortion services in private clinics.ConclusionsNurses trained in person-centered abortion care, in particular, may improve women's experiences post-abortion and potentially reduce feelings of shame and stigma and improve mental health in this context.

In order to solve the problem that the total sugar content of the chlortetracycline fermentation tank can not be automatically detected online, a prediction method which combines the output recursive wavelet neural network and the Gauss process regression is proposed in this paper. A soft sensor model between the measurable parameters (inputs) and the total sugar content (output) of the chlortetracycline fermentation tank was established. The soft sensor model was trained by self updating algorithm. Based on field data, the accuracy and generalization ability of the soft sensor model were analyzed. It is shown that the prediction accuracy of the combined model proposed in this paper is better than that of other single models. The results demonstrate the superiority of the method, and MRE and RMSE are used to evaluate the performance of the soft sensor model. It shows that the prediction precision of the soft sensor model based on ORWNN-GPR combination is relatively high in the long period of fermentation, and is suitable for on-line prediction of the total sugar content of the chlortetracycline fermentation tank. The soft sensor method can effectively reduce the labor intensity of the analysts and saves the production cost for enterprise.

The mechanical properties of hybrid fibre (polypropylene and wood)-reinforced expanded polystyrene (EPS) lightweight aggregate concrete was studied under various sand contents. Cubic and prismatic compression tests were carried out, through which the basic mechanical properties and stress-strain curves of the specimens were obtained. Moreover, the microstructures of the fibre-reinforced concrete with different sand proportions were analysed via scanning electron microscopy (SEM). The test results showed that as the sand proportion increased, the cubic compressive strength and prismatic compressive strength of the EPS lightweight aggregate concrete increased. The optimal slump was obtained when the sand ratio was 25%, after which the slump declined. The EPS lightweight aggregate concrete exhibited obvious elastoplastic behaviour during compression, and the corresponding stress-strain curve could be divided into four stages: the elastic stage, strengthening stage, softening stage and collapse platform stage. Moreover, based on the test results and the damage theory and considering the coupling relationship between plasticity and damage, a damage constitutive model was proposed for hybrid fibre-reinforced EPS lightweight aggregate concrete under uniaxial compression.

Binary expression systems like the LexA-LexAop system provide a powerful experimental tool kit to study gene and tissue function in developmental biology, neurobiology, and physiology. However, the number of well-defined LexA enhancer trap insertions remains limited. In this study, we present the molecular characterization and initial tissue expression analysis of nearly 100 novel StanEx LexA enhancer traps, derived from the StanEx1 index line. This includes 76 insertions into novel, distinct gene loci not previously associated with enhancer traps or targeted LexA constructs. Additionally, our studies revealed evidence for selective transposase-dependent replacement of a previously-undetected KP element on chromosome III within the StanEx1 genetic background during hybrid dysgenesis, suggesting a molecular basis for the over-representation of LexA insertions at the NK7.1 locus in our screen. Production and characterization of novel fly lines were performed by students and teachers in experiment-based genetics classes within a geographically diverse network of public and independent high schools. Thus, unique partnerships between secondary schools and university-based programs have produced and characterized novel genetic and molecular resources in Drosophila for open-source distribution, and provide paradigms for development of science education through experience-based pedagogy.