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Qin Huo, Lvwen Ning, Ni Xie Biobank, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen University, Shenzhen, People’s Republic of ChinaCorrespondence: Ni Xie, Biobank, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen University, No. 3002 Sungang West Road, Futian District, Shenzhen, 518035, People’s Republic of China, Tel +86 1 350 158 0802, Fax +86 7 558 300 3435, Email xn100@szu.edu.cnPurpose: Granzyme A (GZMA) is a potential prognostic target for various cancer types. However, its therapeutic significance in breast cancer with immune infiltration remains controversial. We analyzed GZMA expression and its prognostic value in breast cancer with immune cell infiltration.Patients and methods: Data was obtained from patients with breast cancer registered at The Cancer Genome Atlas. A correlation was performed between GZMA expression and patient’s clinicopathological features such as age, pathologic stage, metastasis stage, overall survival (OS), disease-specific survival (DSS), and progress free interval (PFI). Kaplan-Meier analyses and Cox proportional hazard regression model were used to examine the predictive significance of GZMA expression for breast cancer. The co-expression pattern of GZMA was assessed by the LinkedOmics web portal. The relationship between GZMA expression and immune cells was analyzed using the TIMER database. The correlation between GZMA and lymphocytes and immunomodulators was established with the TISIDB database.Results: There was a lower GZMA expression in breast cancer tissue than in normal tissue. Interestingly, GZMA expression was associated with age, pathologic stage, and the Tumour, Node, and Metastasis stage. Overexpression of GZMA was also associated with better OS, DSS, and PFI. Based on the Cox regression analysis, GZMA was identified as an independent favorable prognostic factor for breast cancer. Our findings demonstrated a strong association between GZMA and T-cell checkpoints (PD-1, PD-L1, and cytotoxic T lymphocyte-associated antigen (CTLA-4)) in breast cancer. Moreover, we evaluated the interactions between GZMA expression and markers of dendritic and CD8+ T cells using quantitative immunofluorescence. We discovered that increased infiltration of dendritic and CD8+ T cells was associated with GZMA expression in breast cancer.Conclusion: GZMA expression is associated with a favorable prognosis in breast cancer and is significantly correlated with immune cell infiltration. GZMA may be considered a promising therapeutic target for patients with breast cancer.Keywords: GZMA, expression, prognostic factor, immune infiltration, breast cancer

Yi Zhou,1 Qiwen Huo,1 Shaoying Du,1 Xiaoyang Shi,1 Qisong Shi,2 Shanshan Cui,3 Cuina Feng,4 Xiaojing Du,1 Yan Wang1 1School of Nursing, Hebei University, Baoding, Hebei, People’s Republic of China; 2Department of Cardiovascular Medicine, The Second Hospital of Baoding, Baoding, Hebei, People’s Republic of China; 3Department of General Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, People’s Republic of China; 4Department of Cardiovascular Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, People’s Republic of ChinaCorrespondence: Yan WangSchool of Nursing, Hebei University, 342 Yuhuadong Road, Baoding, Hebei, 071000, People’s Republic of China, Tel/Fax +86 3125075605, Email chjanwy@163.comPurpose: Medication non-adherence is a major public health issue. Recent evidence suggests that depression, inadequate social support, and lower levels of self-efficacy are associated with poor medication adherence. However, the mechanism underlying the association among depression, social support, self-efficacy and medication adherence is unclear. This study aims to examine the mediating role of social support and self-efficacy between depression and medication adherence in older patients with coronary heart disease.Patients and Methods: Data were collected from 238 hospitalized older patients with coronary heart disease. Depression, social support, self-efficacy, and medication adherence were assessed using structured questionnaires. A serial multiple mediation model was tested using the PROCESS macro for SPSS.Results: A total of 238 older patients with CHD with a mean age of 70.5 years were involved in this cross-sectional study. Depression was negatively correlated with medication adherence in older patients with coronary heart disease. Social support and self-efficacy were positively associated with medication adherence, and fully mediated the relationship between depression and medication adherence. Three mediation paths were included in the model: (a) social support, (b) chain combination of social support and self-efficacy, and (c) self-efficacy.Conclusion: Social support and self-efficacy explain the association of depression and medication adherence in older CHD patients and may be the keys target for enhanced intervention to improve medication adherence in older CHD patients with depression.Keywords: coronary heart disease, depression, medication adherence, self-efficacy, social support

Jialang Zhuang,1,2,* Siqi Chen,1,3,* Ye Hu,1 Fan Yang,1 Qin Huo,1 Ni Xie1 1Biobank, Shenzhen Second People’s Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China; 2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518035, People’s Republic of China; 3Graduate School of Guangzhou Medical University, Guangzhou, 510182, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ni Xie Email xn100@szu.edu.cnIntroduction: Metastatic breast cancer seriously harms women’s health and is currently the tumour type with the highest mortality rate in women. Recently, the combinatorial therapeutic approaches that integrate anti-cancer drugs and genetic agents is an attractive and promising strategy for the treatment of metastatic breast cancer. Moreover, such a combination strategy requires better drug carriers that can effectively deliver the cargo to the breast cancer cells and achieve controlled release in the cells to achieve better therapeutic effects.Methods: The tumour-targeted and redox-responsive mesoporous silica nanoparticles (MSNs) functionalised with DNA aptamers (AS1411) as a co-delivery system was developed and investigated for the potential against metastatic breast cancer. Doxorubicin (Dox) was loaded onto the MSNs, while AS1411 and a small interfering RNA (siTIE2) were employed as gatekeepers via attachment to the MSNs with redox-sensitive disulfide bonds.Results: The controlled release of Dox and siTIE2 was associated with intracellular glutathione. AS1411 mediated the targeted delivery of Dox by increasing its cellular uptake in metastatic breast cancer, ultimately resulting in a lower IC50 in MDA-MB-231 cells (human breast cancer cell line with high metastatic potency), improved biodistribution in tumour-bearing mice, and enhanced in vivo anti-tumour effects. The in vitro cell migration/invasion assay and in vivo anti-metastatic study revealed synergism in the co-delivery system that suppresses cancer cell metastasis.Conclusion: The tumour-targeted and redox-responsive MSN prepared in this study are promising for the effective delivery and controlled release of Dox and siTIE2 for improved treatment of metastatic breast cancer.Keywords: drug delivery, mesoporous silica nanoparticles, DNA aptamer, controlled release, metastatic breast cancer

Zhuang J, Chen S, Hu Y, Yang F, Huo Q, Xie N. Int J Nanomedicine. 2021;16:1691—1976. At the authors request, The Editor and Publisher of International Journal of Nanomedicine wish to retract the published article. Concerns were raised following the authors request to remove images of lung metastatic nodules from Figure 7C. It was found images in Figure 7D appeared to have been duplicated with those from a similar article from the first author, Jialang Zhuang et al. Utilizing a high-throughput microdevice to study breast tumor cells clustering and metastasis, Analytica Chimica Acta 1151, 2021 (https://doi.org/10.1016/j.aca.2021.338222). Specifically, Figure 7D Saline, appears to have been duplicated with the same image in Figure 3F MDA-MB-231 Control, from Jialang Zhuang et al, 2021. Figure 7D MSN@Dox+siTIE2, appears to have been duplicated with the same image in Figure 3F MDA-MB-231 SB273005, from Jialang Zhuang et al, 2021. Figure 7D MSN-siTIE2/Apt@Dox, appears to have been duplicated with the same image in Figure 3F MCF-7, from Jialang Zhuang et al, 2021. The authors responded to our queries and explained the images were mistakenly duplicated during figure preparation by the first author, who accepts responsibility for this error. The authors provided data for the study, but it was not satisfactory. Both the Editor and authors agreed to retract the article and the authors wish to apologize for this error. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”. This retraction relates to this paper

Qiang Huo,1,* Jianhua Zhu,1,2,* Yimin Niu,3 Huihui Shi,2 Yaxiang Gong,2 Yang Li,2 Huihui Song,4 Yang Liu2 1School of Pharmacy, Bengbu Medical College, Bengbu, 2School of Pharmacy, Nanjing Medical University, 3Department of Pharmacy, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 4Yangtze River Pharmaceutical Group, Taizhou, People’s Republic of China *These authors contributed equally to this work Abstract: Multidrug resistance (MDR) remains a major challenge for providing effective chemotherapy for many cancer patients. To address this issue, we report an intelligent polymer-based drug co-delivery system which could enhance and accelerate cellular uptake and reverse MDR. The nanodrug delivery systems were constructed by encapsulating disulfiram (DSF), a P-glycoprotein (P-gp) inhibitor, into the hydrophobic core of poly(ethylene glycol)-block-poly(l-lysine) (PEG-b-PLL) block copolymer micelles, as well as 2,3-dimethylmaleic anhydride (DMA) and paclitaxel (PTX) were grafted on the side chain of l-lysine simultaneously. The surface charge of the drug-loaded micelles represents as negative in plasma (pH 7.4), which is helpful to prolong the circulation time, and in a weak acid environment of tumor tissue (pH 6.5–6.8) it can be reversed to positive, which is in favor of their entering into the cancer cells. In addition, the carrier could release DSF and PTX successively inside cells. The results of in vitro studies show that, compared to the control group, the DSF and PTX co-loaded micelles with charge reversal exhibits more effective cellular uptake and significantly increased cytotoxicity of PTX to MCF-7/ADR cells which may be due to the inhibitory effect of DSF on the efflux function of P-gp. Accordingly, such a smart pH-sensitive nanosystem, in our opinion, possesses significant potential to achieve combinational drug delivery and overcome drug resistance in cancer therapy. Keywords: pH response, charge reversal, multidrug resistance, paclitaxel, disulfiram

The generation efficiency of data products depends on both the computational efficiency and the startup efficiency of algorithms. In meteorological operations, algorithms are typically data-driven, meaning they are initiated immediately upon data arrival to accelerate the generation time of data products. Therefore, data-driven meteorological services urgently require an efficient task scheduling framework to achieve the goal of starting and running algorithms as soon as data arrive, and to improve the generation efficiency of meteorological data products. CMA Big Data and Cloud Platform, referred to as Tianqing and led by National Meteorological Information Center, began nationwide business operations in December 2021. The data processing line (DPL), as the core function of Tianqing, enables the unified management and centralized scheduling of meteorological algorithms. DPL has established various task scheduling capabilities, including timer-triggered scheduling, sequential scheduling, data-arrival scheduling, and manual scheduling. Among these methods, data-arrival scheduling based on data reporting status enables the algorithm to start immediately after data reporting, greatly improving the startup time of meteorological algorithms and the generation time of meteorological data products.Core functions of data-arrival scheduling include data state awareness components, task scheduling execution components, task scheduling post-processing components, and configuration management. Among these components, the data state perception component realizes real-time analysis of the reporting status of various meteorological data in the sky engine, and sends scheduling messages to the task scheduling execution component when the data reporting rate meets scheduling requirements. The task scheduling execution component combines the necessary resource information for the algorithm and computing nodes optimization, generates task scheduling instructions, and implements algorithm startup execution. The post-processing phase of task scheduling includes gathering and updating algorithm execution status, calculation node status, and sending of alarm information for algorithm execution abnormalities. Configuration management supports configuring data-aware scheduling parameters on the front-end page.Real-time analysis of data status and scheduling enables efficient task scheduling that starts and runs the algorithm as soon as data are reported. The scheduling delay is significantly reduced, compared to the original schedule, from 3784 ms to 11 ms. Data-arrival scheduling, as the core capability of CMA Big Data and Cloud Platform, is deployed and operated in real-time in provinces and regions. Currently, the system supports the efficient scheduling of 19 core business algorithms at the national level, with a total of approximately 6.67×105 daily scheduling tasks and an average scheduling delay of 31 ms. Efficient scheduling is achieved with 14 algorithms supported at the provincial level, encompassing a total of approximately 8×104 daily scheduling times and an average scheduling delay of 156 ms. In addition, data aware scheduling achieves seamless integration of upstream and downstream algorithms in meteorological services, providing a solution to eliminate the problem of disconnection between meteorological services and improve collaboration between meteorological services.

To process the high-density and high-frequency mass data generated by ground automatic weather stations, a real-time stream processing system based on Storm is designed and implemented in the Meteorological Big Data Cloud Platform (Tianqing). It leverages the advantages of large-scale parallel computing to enhance processing speed. For BUFR messages, a Storm topology is designed to process the standardized BUFR format data transmitted by RabbitMQ directly on the service, reducing the intermediate steps from transmission to processing of observations. In the spout design, the manual confirmation mode of RabbitMQ messages is adopted to ensure that each message is effectively processed. In the decoding process, bolt is anchored to the spout using message identification (ID) to ensure reliable processing of each message. Format and time checks are performed during data decoding to filter out abnormal data. A batch timing monitoring strategy is applied to address the issue of data ingestion loss caused by port occupancy during extensive monitoring data transmission. A startup strategy with a configurable number of spout and bolt is designed for quick optimization and adjustment based on system resources. During cluster deployment, some resources are reserved to enable automatic task migration without disrupting business operations in case of node corruption within the cluster. System design involves automatically reconnecting message queues and databases to enhance system stability and enable self-healing capabilities. Application results show that the service efficiency of 2442 national stations has decreased from 175 s with CIMISS to 78 s with Tianqing. Additionally, the service efficiency of hourly data from over 60000 regional stations has decreased from 5 min with CIMISS to 2 min with Tianqing. After switching the data source of the ART (analysis of real time) system to Tianqing, the number of stations that can be retrieved simultaneously is doubled compared to CIMISS. It can effectively improve the quality of ART live products while keeping other conditions unchanged. By implementing specialized stream processing, it can effectively handle various business scenarios where data access process of the provincial Tianqing ground automatic weather stations differ from that of other provinces. It enables the provincial Tianqing to quickly process nationwide data from ground automatic weather stations. In December 2021, Storm-based stream processing is implemented in the national and provincial meteorological information departments alongside Tianqing. It has been running smoothly over two years, delivering reliable ground automatic weather station data to users, including MICAPS4, SWAN2.0, ART systems and others.

With the advancement of meteorological services, various product processing systems and supporting data management systems have been developed for different business systems. However, this has led to the problem of system non-intensification. The lack of intensification in meteorological services can result in inconsistent data standards and make the operation and maintenance more challenging, which can lead to significant waste in investment due to duplicate data storage and inconsistent data caused by untimely synchronization. Moreover, the lack of information and technology hinders the integration of upstream and downstream businesses.The intensive development of meteorological business systems and the reform of "cloud+end" technology system are important measures to achieve high-quality development of meteorological business. China Meteorological Administration proposed to build a "cloud+end" technology system in 2020. CMA Big Data and Cloud Platform serves as the cloud, while the meteorological business system is the end, clarifying the positioning of CMA Big Data and Cloud Platform as a key foundational technology platform. The data processing line (DPL) is an intensive environment for meteorological algorithms. It addresses business needs such as efficient and stable processing of data products, data sharing and collaboration among business systems, and efficient and intensive business applications. To achieve this goal, algorithm libraries and task control functions are established by utilizing technologies such as integrated digital and computing, efficient task scheduling, visual process arrangement, and containers. The algorithm library facilitates the standardization, unified management and sharing of algorithms. Task control supports multiple scheduling strategies with high reliability and fault tolerance, enabling efficient and stable scheduling operations for algorithms. All functions mentioned above are in the form of interfaces for the application frontend. At the same time, based on the meteorological business comprehensive monitoring system (referred to as Tianjing) enables automatic collection of algorithm operation status and detection of abnormal alarms. Since its operation in 2021, the processing assembly line has facilitated the real-time operation of 202 business systems nationwide, resulting in a performance improvement of 1-10 times and a significant increase in efficiency. It plays an important supporting role in improving the operational efficiency of business systems, enhancing their collaboration, accelerating the process of "cloud+end" business technology system reform, and promoting the intensive development of meteorological business.

ObjectiveThe study utilized human transcriptome microarray to explore biomarkers for diagnosing drug-induced liver injury （DILI） caused by anti-tuberculosis drugs.MethodsA 6-month follow-up study was conducted on 152 patients treated with anti-tuberculosis drugs in designated hospitals in Shanghai. The blood samples were collected at the 0， 2， 4， 8， 12 and 24 weeks after treatment. According to the clinical biochemical indicators， the research subjects were divided into DILI cases （34 cases） and Control cases （118 cases）. Single factor analysis was conducted on the influencing factors between the two groups. In a 1∶1 matched DILI-control study， RNA samples of 13 pairs of cases were sequenced by the whole transcript expression mRNA array. Differentially expressed genes （DEGs） were screened by Hotelling's T2 value sequencing and the expression trend analysis of genes by STEM （short-time series expression miner）， and the functional enrichment and pathway analysis of DEGs were carried out.ResultsIn total 152 clinical cases， weight of patients was a risk factor for the occurrence of hepatotoxicity caused by anti-tuberculous drugs. Based on the analysis results of mRNA array， 513 DEGs were screened by Hotelling's T2 value sequencing method， which were enriched in 32 annotations of GO （Gene Ontology） analysis and 10 pathways of KEGG （Kyoto encyclopedia of genes and genomes） analysis. One differential expression pattern was screened by STEM， which was enriched in 2 biological process notes of GO. Among them， the key genes AIM2， CD86， CXCL10 and non-coding RNAs SCARNA10， SNHG10 and SNORD105 are potential biomarkers of DILI caused by anti-tuberculosis drugs.ConclusionIn this research for biomarkers conducted on cases with liver injury caused by anti-tuberculosis drugs， biological pathways associated with hepatotoxicity are identified and a series of key genes related with drug-induced liver injury are found， which provides the basis for mechanism study and searching for earlier and more sensitive biomarkers.

ObjectiveTo establish bovine corneal opacity and permeability （BCOP） test， and determine its predictive ability for the eye irritation evaluation of cosmetics.MethodsA total of ten reference chemicals were selected to establish the BCOP test. Then eye irritation of 16 routinely collected cosmetics in our laboratory was predicted. In vitro scores were calculated by the change in the opacity and sodium fluorescein permeability after exposure to the testing cosmetics， and subsequently compared with the historical data by Draize test.ResultsReference chemicals with known irritation classification were correctly classified by the BCOP test， which was consistent with the classification of UN globally harmonized system of classification and labeling of chemicals. Moreover， the specificity of the BCOP test for the classification of non-irritating cosmetics samples was 80.0% （8/10）， and the sensitivity for weak to mild irritating cosmetics samples was 83.3% （5/6）. The BCOP test demonstrated an overall classification consistency of 81.3% （13/16） with in vivo test.ConclusionBCOP test may be independently used to identify chemicals with potential eye irritation and serious eye damage， suggesting it is significant for in vitro integrated test strategy for predicting eye irritation due to cosmetics.

Traditional Chinese medicine contains arsenic (As), which in the natural environment accumulates in plants during the growth of Chinese medicinal materials; there are mineral medicines containing As in Chinese patent medicine such as As4S4, As2S3, etc. Due to the toxicity of As-containing compounds and its role in inflammation and treatment of cancers such as leukemia, it is necessary to analyze the chemical form of As. A comprehensive investigation of the compound forms of heavy metals rather than the simple total amount of elements will lay the foundation for the scientific and objective evaluation of the safety of heavy metals. This article summarizes the speciation of As in bulk Chinese medicinal materials and Chinese patent medicines in recent years, and reviews the main research methods of As speciation analysis. The separation and detection combined analysis method focuses on the high-performance liquid chromatography-plasma mass spectrometry and high-performance liquid chromatography-hydride generation-atomic fluorescence spectroscopy, etc. Taking the advanced synchrotron radiation source as the research platform, the use of X-ray near edge absorption fine structure spectrum and micro-area X-ray fluorescence analysis as a microscopic analysis technique supports direct analysis of the As speciation in situ. It is the most promising morphological analysis method.

The absorption, distribution, and transport trends of organic and inorganic arsenic (As) in honesuckle (Lonicera japonica) were studied using synchrotron X-ray fluorescence spectroscopy (μ-XRF). The root, stem, and leaf samples were analyzed by μ-XRF, proving that in the presence of dimethyl arsenate acid, a small amount of As accumulated in local areas of the epidermis and cortex of roots, while most of As migrated to the upper plant through the middle vascular column. After reaching the stem, As was mainly distributed in the outer skin, indicating that the root and stem of L. japonica blocked the transport of As in the plant. In the presence of As(iii), A large amount of As accumulated in the epidermis and cortex of the root, reducing its further transport from the plant roots. Once As entered the stem of L. japonica from the root, it achieved a strong transport capacity, thus causing severe harm to plants. The element correlation analysis revealed that As in L. japonica had the strongest correlation with Cu and Zn elements, for the future research on the influence of As pollution on plants, the interference based on the above two elements can be considered.

Arsenic (As) accumulated in genuine medicinal materials will not only deteriorate the original medicinal properties of the medicinal materials but also harm the eater’s body. In this study, inductively coupled plasma mass spectrometry (ICP-MS) technology was used to investigate the total As content of honeysuckle in four regions, namely Fengqiu, Henan, Xinmi, Shandong, and Julu, Hebei, as well as the speciation and content of As in the roots, stems, and leaves of honeysuckle. This research shows that the total As content of honeysuckle in the four regions was 0.25–0.3 mg/kg. At 1.5 mol/L H3PO4, 200 W, we performed ultrasonic extraction for 30 min at 60°C and adopted high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS) to analyze the As speciation of honeysuckle plants. The soil As speciation mainly exists in the form of As(v). In the medicinal part of honeysuckle, the amount of different As speciation is ranked in the descending order as As(v) > As(iii) > dimethyl As acid > monomethyl As acid > AsC. As(v) is the main speciation, accounting for 64.5% of the total, followed by the most toxic As(iii), which is 18.8%. As(v) absorbed by the root system of honeysuckle from the soil tends to transform to As(iii) when transported upwards, and the transformation process mainly occurs in the roots.

The structures of lipids are diverse, and thus, lipids show various biological functions. Systematic determination of lipids in organisms has always been a concern. In this paper, a methodology on the matrix-assisted laser desorption ionization mass spectrometry (MALDI MS), with titanium dioxide nanoparticles (TiO2 NPs) as the matrix, was studied for lipid determination. The results showed that the following conditions were preferable in the determination of small-molecule lipids (such as hypoxanthine, guanosine, uridine, and cytidine), lipid standards (such as GC, GM, TG, phosphatidylethanolamine, phosphatidylcholine, and ceramide), and mixed lipids (extracted from brain homogenate with methanol alone and with the B&D method): TiO2 NPs as the matrix, absolute ethanol as the solvent, 1 mg of TiO2 NPs dispersed in 1 mL of absolute ethanol as the matrix solution, NaCl as the ionization reagent, and positive mass spectrometry (MS) as the mode. Modified TiO2 NP as a new matrix for MALDI MS will be a future research direction; in addition, the characteristics of TiO2 NPs make it a potential matrix for imaging MS.

Current development of Pakistan’s economy, transportation and industry with the improvement of urbanization, environmental pollution problems have gradually become prominent, but this is contrary to people’s vision of pursuing a high-quality life. Now the problem of haze, photochemical problems in the air, and global warming is already a key issue of global concern. This is focused on the ambient air quality of Lahore city of Pakistan. The study reveals that the particulate matter in the Lahore season (PM2.5, PM10) exceeds Pakistan’s National Environmental Quality Standards (NEQS). Correlation study suggests the positive correlation between the particulate matter and other mass concentration particles like Ozone (O3), Nitrogen Oxide (NO), Sulphur Dioxide (SO2). Higher values of CO/NO suggest that mobile sources are one of the major factors of this increase in NO. Further estimation of backward trajectory is done by the Hybrid-Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model which provides the path of those particles in the last year period and the source of origin is from Afghanistan. This study provides in depth analysis of all factors of air pollutants by correlation between those factors. Prediction of future concentration of PM2.5 is predicted using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model which gives the increasing value of PM2.5 in next year and provides the lowest and highest predicts (more than $100~\mu \text{g}/\text{m}^{3}$ ).

The active component of the Ailanthus altissima leaf was extracted by thin layer chromatography (TLC) when the developing solvent was petroleum ether: ethyl acetate: methanol = 17: 6:1. GC/MS showed that the main components of the A. altissima leaf were octadecane acids-9, 12-diene with a multiple alkyl group and esters. A study on control of the red spider mite, Tetranychus urticae Koch showed that using A. altissima extract in different concentrations was more effective than 48% Omethoate (1500 times diluted) and had long term active effects against T. urticae, when the concentration was higher than 0.25g/ml, at which point the anti-red spider mite effect from the beginning of the 5th day was greater than that of 75% dichlorvos (1500-fold dilution), using the least significant difference (LSD) method to carry out analysis of variance (LSD0.05 = 20.1 and LSD0.01 =27.7). The results showed an obvious difference in the control effect against the red spider mite between omethoate and high or medium concentrations of the leaf extract of A. altissima and inconspicuous differences among the others. [ABSTRACT FROM AUTHOR]

Ginkgolide B (GB) and Puerarin (Pue) are active pharmaceutical ingredients for the treatment of Parkinson’s disease (PD); however, both are poorly water-soluble, which limits their bioavailability. The present study used the niosome vesicle encapsulation technique to prepare a novel GB composite drug. The conditions for GB–Pue niosomal complex preparation were as follows: a hydration temperature of 60°C, a hydrophilic–lipophilic balance of 10.5, a drug–carrier mass ratio of 8:100, and a surfactant–cholesterol mass ratio of 1.5:1. The niosomal complex suspension was uniformly distributed and milky white in color, with no stratification over a duration of 1 month. It had an average particle size of 187.3 nm, a particle-size distribution of 0.237, a GB encapsulation efficiency (EE) of 68.2%, a GB drug-loading rate of 90.1%, a Pue EE of 40.5%, and a Pue drug-loading rate of 83.3%. The optimal storage temperature for the niosomal complex suspension was 4°C. Following an intravenous injection of the niosomal complex suspension into the rat tail, the area under the curve (AUC) from 0 to 4 h was 54.1 h µg mL−1, with a mean residence time (MRT) of 0.96 h, a distribution half-life (T1/2α) of 0.195 h, and a total clearance of 0.003 L h−1 kg−1. The AUC and MRT of the composite prescription were 1.1- and 1.4-times those of the commercial injection, respectively, showing significantly increased sustained release and bioavailability. Moreover, the distribution of GB in the brain tissue was 1.8-times that of the commercial injection. In conclusion, the novel GB niosomal composite drug, with excellent stability, improved pharmacokinetics, and brain tissue distribution, demonstrates great potential for the delivery of GB and Pue for PD therapeutics.

In order to study the influence of the lateral prestress produced by friction torque on the properties of the joint hysteresis effect and put forward suggestions on joint design and assembly. The nonlinear numerical simulation is conducted on the IMS structure system joint through finite element software ABAQUS. The impact of lateral prestress and friction coefficient of contact surface on ultimate bearing capacity, stiffness degradation, energy dissipation performance and ductility characteristics of joints under low cyclic reciprocating load is compared and analyzed. As the friction coefficient on the side of column increases, the positive ultimate bearing capacity, the friction torque and the initial stiffness of the column side bearing capacity accordingly increase. After the friction coefficient increases to 0.7, the positive ultimate bearing capacity of the joints no longer increases significantly, but the stiffness degradation rate gradually accelerates, and the equivalent viscous damping coefficient of the specimens shows a trend of first increasing and then decreasing. The lateral prestress has slight influence on the positive ultimate bearing capacity of joints. When the lateral prestress increases from 944Mpa to 1300Mpa, the energy-dissipating capacity of specimens gradually decreases, with the cumulative energy-dissipating capacity decreasing by about 29.7%. Keywords: IMS structural system, Prestressed friction joints, Friction torque, Low cyclic reciprocating load, Energy dissipation performance, Stiffness degradation

The disposal of residues while manufacturing Chinese medicine has always been an issue that concerns pharmaceutical factories. Phanerochaete chrysosporium was inoculated into the residues of Magnolia officinalis for solid-phase fermentation to enzymatically hydrolyze the lignin in the residues and thus to improve the efficiency of removal of the copper ions from residues for the utilization of residues from Chinese medicine. With the increase in activities of lignin-degrading enzymes, especially during the fermentation days 6 to 9, the removal rate of copper ions using M. officinalis residues increased dramatically. The rate of removal reached the maximum on the 14th day and was 3.15 times higher than the initial value. The rate of adsorption of copper ions on the fermentation-modified M. officinalis residues followed the pseudo-second-order kinetics. The adsorption isotherms were consistent with the Freundlich models. The adsorption enthalpy was positive, indicating that it was endothermic and elevation in temperature was favorable to this adsorption process. The adsorption free energy was negative, implying the spontaneity of the process. The copper ions adsorbed could be effectively recovered using 0.2 M hydrochloric acid solution. After five successive cycles of adsorption-regeneration, the fermentation-modified M. officinalis residues exhibited a stable adsorption capacity and greater reusability. The M. officinalis residues fermented with P. chrysosporium are low-cost and environmentally friendly copper ions adsorbent, and this preparation technique realizes the optimum utilization of Chinese medicine residues.