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The contamination of aquatic environments by heavy metals can have detrimental effects on fish, impacting their growth and overall health, including the regulation of antioxidant genes. An investigation was carried out to assess the distribution and habitat of Gymnocypris eckloni in the Yellow River basin. Simultaneously, heavy metal concentrations in its habitat and in selected locations within the upper Yellow River were measured. In an effort to explore the potential roles of specific genes in antioxidant responses, G. eckloni was exposed to low concentrations of copper (Cu2+) and lead (Pb2+) for varying durations (12, 24, and 48 hours). The mRNA levels of GeCu/Zn-SOD, GeMn-SOD, GeHsp90, and GeMT were quantified in the gills, kidneys, and liver through qRT-PCR. The findings suggest that the habitat of G. eckloni is generally safe; however, occasional exceedances of safety standards could pose a potential threat to its growth. Importantly, the expression of GeCu/Zn-SOD, GeMn-SOD, GeHsp90, and GeMT exhibited responses to the low concentrations of copper-induced and lead-induced stress. Notably, GeCu/Zn-SOD, GeMn-SOD, and GeMT demonstrated heightened sensitivity to lead compared to copper. Furthermore, the expression of these genes displayed tissue-specific responses under identical metal stress conditions. These results indicate that GeCu/Zn-SOD, GeMn-SOD, GeHsp90, and GeMT genes have the potential to serve as early, sensitive biomarkers for the detection of metal toxicity induced by Cu2+ and Pb2+. This study also provides valuable insights into the functioning of antioxidant genes under oxidative stress in fish. [ABSTRACT FROM AUTHOR]

This article considers a wireless-powered communication network (WPCN) composed of a multiantenna hybrid access point (HAP) based on nonlinear energy harvesting (EH). To improve some distant WDs' throughput performance, one of them is allowed to be selected as a cluster head (CH) to help transfer information from other cluster members (CMs). Nevertheless, the proposed clustering collaboration's performance is essentially restricted by the CH's energy-intensive consumption (EC), which requires to transfer every WDs' information, covering its own. In order to figure out the question, the HAP's energy beamforming (EB) capability with multiple antennas is utilized that can concentrate greater transmission power into the CH to equilibrate its EC to assist other WDs. To be specific, each WD's throughput performance is firstly derived under the proposed approach. A high-efficiency optimization algorithm for addressing cooperative optimization problem is put forward. In addition, the simulations are carried out in the actual network environment, and the results demonstrate that our proposed clustering collaboration with multiple antennas can validly enhance the WPCN's throughput fairness based on nonlinear EH. [ABSTRACT FROM AUTHOR]

Methyl-D-aspartate receptor (NMDAR) is an ionotropic glutamate receptor and plays an important role in neuronal degradation of Alzheimer's disease (AD). According to molecular modeling docking studies, we have designed the compound Arg-Glu-Arg-Met-Ser-(3,5)-dimethyladamantan-1-amine (RERMS-MEM), consisting of an AβPP 5-mer peptide (RERMS) and memantine (MEM). This compound could dock into the active sites of N-methyl-D-aspartate receptor type 2B (NMDAR2B) with a −64.14 kcal/mol CDOCKER interaction energy. The stability of RERMS-MEM was evaluated through a 50 ns molecular dynamics simulation. The results revealed that the docked ligand-receptor complex was stable. Furthermore, surface plasmon resonance (SPR) revealed that the RERMS-MEM binding affinity to the NMDAR2B fragment exhibited over 15-fold enhancement compared to MEM. The SH-SY5Y cell assays showed that RERMS-MEM or RERMS at concentrations of 0.1, 1, 10, or 50 μM could enhance the metabolic rate, and MEM showed no difference compared to the control and indicated cytotoxic effects at 50 μM. RERMS-MEM at concentrations of 0.01, 0.1, 1, 10, or 50 μM increased the number of viable cells and reduced the release of lactate dehydrogenase (LDH). RERMS at concentrations of 10 or 50 μM was similar to RERMS-MEM for increasing viable cells, and MEM showed no difference compared to the control and decreased the number of viable cells at 50 μM. RERMS-MEM or RERMS at concentrations of 10 or 50 μM could antagonize Aβ25-35-induced cytotoxicity, and MEM at 50 μM strengthened the cytotoxicity effects. The results revealed that RERMS-MEM showed a strong NMDAR-blocking activity as a potential NMDAR antagonist, enhancing the neurotrophic effect and cellular growth in SH-SY5Y cells. [ABSTRACT FROM AUTHOR]

The article selects relevant data from 283 cities in China from 2000 to 2020 and verifies the impact of the establishment of free trade zones on human capital levels based on the asymptotic PSM-DID model. It is found that the establishment of FTZs can significantly contribute to the improvement of regional human capital levels, but the promotion effect has a certain lag. Finally, the article gives constructive suggestions based on the empirical results. [ABSTRACT FROM AUTHOR]

Background. Systemic lupus erythematosus (SLE) is characterized by poor regulation of the immune response leading to chronic inflammation and multiple organ dysfunction. Glucocorticoid (GC) is currently one of the main treatments. However, a high dose or prolonged use of GC may result in glucocorticoid-induced osteoporosis (GIOP). Jiedu Quyu Ziyin decoction (JP) is effective in treating SLE and previous clinical studies have proved that JP can prevent and treat SLE steroid osteoporosis (SLE-GIOP). We aim to examine JPs main mechanism on SLE-GIOP through network pharmacology and molecular docking. Methods. TCMSP and TCMID databases were used to screen potential active compounds and targets of JP. The SLE-GIOP targets are collected from GeneCards, OMIM, PharmGkb, TTD, and DrugBank databases. R software was used to obtain the cross-targets of JP and SLE-GIOP and to perform GO and KEGG enrichment analysis. Cytoscape software was used to make the Chinese Medicines-Active Ingredient-Intersection Targets network diagram. STRING database construct protein–protein interaction network and obtain the core targets. Auto Dock Tools and Pymol software were used for docking. Results. Fifty eight targets overlapped between JP and SLE-GIOP were suggested as potential targets of JP in the treatment of SLE-GIOP. Network topology analysis identified five core targets. GO enrichment analysis was obtained 1,968 items, and the top 10 biological process, closeness centrality, and molecular function were displayed. A total of 154 signaling pathways were obtained by KEGG enrichment analysis, and the top 30 signaling pathways were displayed. JP was well bound by MAPK1, TP53, and MYC according to the molecular docking results. Conclusion. We investigated the potential targets and signaling pathways of JP against SLE-GIOP in this study. It shows that JP is most likely to achieve the purpose of treating SLE-GIOP by promoting the proliferation and differentiation of osteoblasts. A solid theoretical foundation will be provided for the future study of clinical and experimental topics. [ABSTRACT FROM AUTHOR]

The large dynamic and high-speed flight of aerospace vehicle will bring unpredictable conditions to its navigation system, resulting in that its system random noise probability distribution will no longer meet the preconditions of Gaussian distribution preset by the existing filter algorithm, thus reducing the accuracy of the navigation system. So, it is very important to propose an effective method to solve the filter problem of the navigation system in non-Gaussian distribution to improve the accuracy of the navigation system. Therefore, an integrated navigation method of aerospace vehicle based on rank statistics (LRF) has been proposed in this paper. Firstly, based on the flight characteristics of aerospace vehicles, an accurate gravity calculation model has been established to improve the accuracy of system modelling. Then, the state equation and measurement equation of integrated navigation system have been established. In combination with the rank filter algorithm as well as the determined weights, sampling points are calculated and nonlinearly propagated through the transition matrix to achieve an accurate estimation about the predicted values of the state quantities and measurement quantities and the covariance matrix. In turn, it simulates the probability distribution of the system state effectively. Therefore, when the system random noise probability distribution of the aerospace vehicle does not meet the Gaussian distribution due to various interference factors in the actual flight process, the algorithm can simulate the probability distribution of the actual system to the greatest extent, to improve the accuracy of the integrated navigation system and enhance the reliability of the navigation system ultimately. [ABSTRACT FROM AUTHOR]

The preparation of environment-friendly and efficient superhydrophobic filter screen still faces great challenges. Herein, a compact, solid cerium stearate superhydrophobic-coated stainless steel mesh (SSSM) was prepared by a simple, efficient, and environmentally friendly one-step electrodeposition process. Fourier transform infrared (FTIR) spectroscopy, energy-dispersive X-ray spectroscopy (EDS), scanning electron microscopy (SEM), and contact angle measurement were used to characterize the surface coating (composition, morphology, and contact angle) of SSSM. The results show that the SSSM surface is a dense mastoid cerium stearate micronanostructure coating, and its static contact angle with water can reach 162.73°. In addition, it has excellent self-cleaning performance for conventional simulated pollutants, and the contact angle can still reach 161° after 28 days of storage. In the wear resistance and corrosion resistance tests, the contact angle can still be kept above 150° after 600 mm abrasion under the load of 19.6 kPa, the corrosion current of SSSM is reduced by two orders of magnitude, and its corrosion inhibition efficiency reaches 99.74%. In addition, the oil/water separation performance of SSSM is also very good, and the separation efficiency for different oil/water mixtures exceeds 97%. This study will provide important data support and method reference for the preparation of metal anticorrosion superhydrophobic material coating and the development of environment-friendly and efficient oil–water separation materials. [ABSTRACT FROM AUTHOR]

In the Internet environment, college innovation and entrepreneurship will face more opportunities and challenges. "Internet +" simply means "Internet + traditional industries." With the development of science and technology, the use of information and Internet platforms enables the integration of the Internet and traditional industries and uses the advantages and characteristics of the Internet to create new development opportunities. University learners are one of the most important contact groups on the Internet. They are generally familiar with the Internet and are good at using Internet channels and Internet thinking to solve problems. Therefore, they are able to grasp opportunities and achieve breakthroughs. Innovation and entrepreneurship education is aimed at cultivating talents with basic entrepreneurial qualities and pioneering personality, and it is an education to cultivate innovative thinking and entrepreneurial ability for the whole society in stages and at different levels. How to effectively use the dividends of Internet entrepreneurship to realize their own transformation and growth is a topic worth studying. Therefore, this paper takes the life cycle of "Internet +" college students' innovation and entrepreneurship competition as an example, summarizes the achievements and problems of a university in holding the competition, and puts forward countermeasures and suggestions for optimizing and organizing the competition on this basis. Experiments show that the quality of the competition itself, the relevant rules of the competition, the impact of the external environment, and home-school cooperation will have a greater impact on students' innovation and entrepreneurship performance. [ABSTRACT FROM AUTHOR]

Glioblastoma (GBM) is the most common intracranial tumor with characteristic of malignancy. Resveratrol, a natural originated polyphenolic compound, has been reported to act as a potential radiosensitizer in cancer therapy. Magnetic resonance imaging (MRI) is the first choice for the diagnosis, pathological grading, and efficacy evaluation of GBM. In this study, MRI was applied to observe whether resveratrol could intensify the anti-GBM tumor effect by enhancing antitumor immunity during radiotherapy. We established an intracranial C6 GBM model in SD rats, treated with radiation and resveratrol. The increased body weight, the inhibition on mortality, and tumor volume in radiated- GBM rats were further enhanced by resveratrol addition, while the pathological damage of brain was alleviated. The modulation of radiation on inflammation, cell cycle, and apoptosis was strengthened by resveratrol; and Ki-67, PD-L1, and cell cycle- and apoptosis-related protein expressions were also improved by cotreatment. Besides, cotreatment attenuated DNA damage and induced G0/G1-phase cell arrest of GBM rats, accompanied with the changed expression of ATM-AKT-STAT3 pathway-related proteins. Moreover, the percentages of CD3+CD8+T cells and IFN-γ+CD8+T cells were enhanced, while (CD4+CD25+Foxp3)/CD4+T cells were decreased by radiation or resveratrol, which was strengthened by cotreatment. The modulation effect of cotreatment on CD3, Foxp3, and IFN-γ levels was also stronger than radiation or resveratrol alone. To conclude, resveratrol enhanced the effect of radiotherapy by inducing DNA damage and antitumor immunity in the intracranial C6 GBM. [ABSTRACT FROM AUTHOR]

Effects of pre‐maceration and pulp juice fermentation on physicochemical characteristics, organic acid composition, phenolic profiles, and sensory evaluation of raspberry cv. Qiufu wine obtained at the end of fermentation and 4 months of aging were investigated. Results showed hot pectinase maceration (50°C, 1.5 hr) significantly (p <.05) improved the extraction of the total flavanols, but it was intensified by pulp juice fermentation, which lead to continuous growth in turbidity during aging. However, cold pectinase maceration (10°C, 1.5 hr) significantly (p <.05) improved the extraction of ellagic acid, which was considered to be a good copigment factor for color intensity stability during aging. When the combination of cold pectinase maceration with pulp juice fermentation was used, the best result wine was observed with the highest total phenol content, highest sensory scores, and better stability. PCA analysis showed that a combination of pre‐maceration and fermentation was the more determining factor in defining the wine aging ability, which closely related to the proportion and chemical fate of phenolic compounds in raspberry wine. Practical application: As a deep processing product of the raspberry industry, raspberry wine possesses good development prospects. These results could conduce to the establishment of a proper way to produce raspberry wines with desirable quality. [ABSTRACT FROM AUTHOR]

Objective. To study the relationship between insulin resistance and urinary microalbumin creatinine ratio in postmenopausal women. Methods. The selected research group comprised 104 postmenopausal women with type 2 diabetes who were admitted to the Department of Endocrinology in the green card center at the First Affiliated Hospital of Hainan Medical University between 2017 and 2019 inclusive. Ninety-eight postmenopausal women with the normal blood glucose metabolism hospitalized in the same period were used as the control group. The age, body mass index, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate, fasting blood glucose, fasting insulin (FINS), glycosylated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and urinary albumin-creatinine ratio (UACR) were analyzed. The insulin resistance index (HOMR-IR) was calculated, and the correlation between IR and UACR was analyzed. Results. Levels of HOMA-IR, SBP, HbA1c, HDL-C, LDL-C, TC, TG, FPG, FINS, and UACR in the study group were higher than those in the control group, and a significant difference was found between the groups (P < 0.05). The level of DBP in the study group was lower than that in the control group, and the difference was statistically significant (P < 0.05). Pearson correlation analysis showed that UACR was positively correlated with HOMA-IR and HbA1c (r = 0.254, r = 0.565, P < 0.01). Multiple linear stepwise regression analysis further showed that HOMA-IR and age were positively correlated with UACR (P < 0.05). Conclusion. There is a correlation between IR and UACR in postmenopausal women. IR is an independent risk factor for UACR. [ABSTRACT FROM AUTHOR]

Taking China's first application of domestic shield tunneling in a water-rich sand layer for crossing a high-speed railway as research background, the influence of changes in the shield tunneling parameters on ground settlement is analyzed based on field tests, and a construction control method suitable for shield tunneling under a risk source in a water-rich sand layer is proposed. The test results show that the use of 10% sodium bentonite as the soil modifier for soil pressure balance shield tunneling into the water-rich sand layer has advantages, while adding 50% loess into the bentonite slurry in the gravel sand layer can greatly improve the impermeability of the soil; the settlement of soil can be effectively reduced by using the special segment with grouting holes for deep grouting and applying the adaptive transformation of the shield cutter. Based on the statistical analysis results, a reasonable range for the cutter head torque, cutter head speed, chamber pressure, bentonite injection volume, and advanced speed in the water-rich sand layer can provide a construction control basis for similar projects and provide data support for the compilation of relevant specifications. [ABSTRACT FROM AUTHOR]

To improve the trajectory tracking accuracy, the anti-jamming performance, and the environment adaptability of a quadrotor, the paper proposes a new adaptive trajectory tracking algorithm with multilayer neural network and sliding mode control method. The major difference between other related approaches is that the paper uses the multilayer neural network in the system and the neural network is online computing in the whole process. Firstly, the paper establishes the quadrotor dynamic model and introduces the conception of Sigma-Pi neural network. Then, the paper adds the neural network to the attitude and trajectory tracking control loop. Moreover, the paper designs the adaptive neural network control law. At last, to illustrate the stability of the adaptive control law, the paper gives the Lyapunov stability analysis. Finally, to demonstrate the effectiveness of the method, the paper gives different types of simulation. Comparing with different cases, when increasing the layer of the neural network, the trajectory tracking performance becomes better. In addition, introducing multilayer neural network into the system could improve the anti-interference ability of the system and has a high-precision in tracking the desire trajectory. [ABSTRACT FROM AUTHOR]

Purpose. Lung cancer is a relatively common type of cancer, and the incidence rate has been on the rise in recent years. MicroRNAs are a class of endogenous small RNA molecules, which are essential for the posttranscriptional regulation of genes. miR-29b is closely related to the occurrence and development of tumors, including prostate cancer, colon cancer, and breast cancer. However, few studies have been performed to explore the expression and pathway of miR-29b in non-small-cell lung cancer (NSCLC). Methods. Using bioinformatics analysis, we found that patients with low relative expression of the miR-29b gene have a low long-term survival rate. The results of in vitro research showed that when miR-29b expression was upregulated, the invasion, migration, and proliferation of A549 and NCI-H-1792 cells was inhibited, and the apoptosis was accelerated. Results. The results showed that FEM1B is a miR-29b target gene, and the expressions of FEM1B and miR-29b were negatively correlated. Like the upregulation of miR-29b expression, silencing the FEM1B expression could also impair the invasion, migration, and proliferation abilities of A549 and NCI-H-1792 cells. When FEM1B expression was restored, the inhibitory effect of miR-29b could be reversed. Reverse transcription-polymerase chain reaction (RT-PCR) and western blot (WB) analysis showed that overexpression of miR-29b could inhibit the expression of FEM1B, AKT, vascular endothelial growth factor (VEGF), and Sirt3 in A549 and NCI-H-1792 cells and upregulate the expression of FOXO1 protein. Conclusion. The results of this study indicate that miR-29b inhibits the proliferation and deterioration of NSCLC cells by targeting FEM1B and inhibiting the activation of the FOXO1/AKT pathway. miR-29b may become a new target for the clinical diagnosis and treatment of lung cancer, and it is expected to become a new inhibitor of NSCLC. [ABSTRACT FROM AUTHOR]

With the rapid development of high-speed rail in China, addressing the issue of safety assurance during the operation of the train is very important. A very important part of a train's power supply system is the pantograph and catenary system, which consists of a pantograph and a catenary. Failure of the pantograph-catenary system can cause significant damage to the normal operation of the train. The dynamic performance of the pantograph-catheter system must be detected in real time during the operation of the train. This paper is based on the study and analysis of pantograph-catheter dynamic performance parameters and developed a system for real-time detection of pantograph-catheter dynamic performance parameters based on a car visual system. The results are as follows: based on this detection method, the visual error is low and the accuracy is high. The machine-based directional height detection module developed in this paper has a good detection effect and high test accuracy; the arcing detection module designed in this paper can effectively detect the arcing and store the arcing pictures and can display the duration of single arcing and the arcing rate of the section in real-time. The practical application effect is good. The results show that the focal length of the camera lens is 16 mm, and the error of the machine vision system is low. The system designed in this paper may make a great contribution to the operation condition monitoring and fault diagnosis of the pantograph-catenary system of a high-speed train in the future. [ABSTRACT FROM AUTHOR]

Aim. The aim of this study is to evaluate the impact of Chinese native culture education based on Chinese native culture on the intercultural competence of undergraduate nursing students. Method. A quasi-experimental design with pretest and posttest was used. We recruited nursing students from 4 classes of the School of Nursing in our hospital in 2016 as research subjects. Undergraduate nursing students (n = 79) who completed one semester of education in indigenous Chinese culture completed a demographic questionnaire and the transcultural self-efficacy tool (TSET). Chinese native culture education is the topics related to nursing, consistent with the culture of Chinese patients under the background of Chinese native culture, including the dietary habits, taboos, religions, values, particularly Chinese medicine, and specific diseases. The control group (n = 91) was students who did not participate in Chinese native culture education and completed the instrument during the same time frame. Result. Students who participated in Chinese native cultural education significantly improved their transcultural self-efficacy in three dimensions: cognition, emotion, and practice. Compared with the control group, the students in the cultural education group had higher change scores in three sizes of transcultural self-efficacy. Conclusion. When strengthening cultural education for undergraduate nursing students, adding content related to Chinese native culture can improve their transcultural self-efficacy and meet the growing cultural needs of patients. [ABSTRACT FROM AUTHOR]

Gastric cancer (GC) is a common malignant tumor in the digestive system and a significant health burden worldwide. In this study, we found that hsa-let-7d-5p was upregulated in GC cells, promoted GC cell proliferation, migration, and invasion, and reduced apoptosis. Moreover, we found that the expression of PRDM5 (PR domain protein 5) was downregulated in GC cells and upregulated in GC cells treated with hsa-let-7d-5p inhibitor. Further investigation showed that hsa-let-7d-5p was the target of PRDM5, and the functions of hsa-let-7d-5p on GC progression were rescued by PRDM5 overexpression in GC cells. Collectively, our findings suggested that hsa-let-7d-5p promoted the development of GC by targeting PRDM5, indicating that hsa-let-7d-5p could be a promising therapeutic molecule for the treatment of gastric cancer. [ABSTRACT FROM AUTHOR]

To solve the problem of liquid-phase synthesis of nano-ZnO, a photocatalytic performance study was proposed. In this study, the microwave homogeneous precipitation method was used to add different types and amounts of surfactants. The synthesis of nano-zinc oxide was controlled by changing the reaction system conditions. The photocatalytic properties of nano-zinc oxide for degrading three water-soluble dyes were preliminarily studied and discussed. The results show that the photocatalytic performance of nano-ZnO is closely related to its size, morphology, specific surface area, and even crystallographic direction. [ABSTRACT FROM AUTHOR]

Aim: To determine the level of critical cultural competence (CCC) among Chinese clinical nurses and explore its influencing factors. Background: Previous research has only focused on the theoretical model of CCC and the development of assessment tools; however, no large‐scale study has been conducted on the level of clinical nurses' CCC and its influencing factors. Method: Clinical nurses in 14 Level A tertiary hospitals (n = 3858) were surveyed using Almutairi's critical cultural competence scale (CCCS). Descriptive, univariate and multivariate analyses were performed. Results: The mean score of CCC was 4.44 (SD = 0.33). Critical empowerment (M = 4.85, SD = 0.58) and critical awareness (M = 3.57, SD = 0.99) had the highest and lowest scores, respectively. Female nurses, nurses in the nursing department and nurses with higher positions had higher CCC. Conclusion: The CCC of clinical nurses can be strengthened through targeted training, especially considering the fact that male and low‐ranking nurses who had the lower level of CCC work in different departments. Implications for Nursing Management: Hospital administrators should pay attention to the importance of culture and cultural differences among different countries or ethnic groups. Creating an equal and fair nursing environment and encouraging nurses to provide critical cultural nursing is important. [ABSTRACT FROM AUTHOR]

Aim: As the completed studies have small sample sizes and different algorithms, a meta-analysis was conducted to assess the accuracy of WCE in identifying polyps using deep learning.Method: Two independent reviewers searched PubMed, Embase, the Web of Science, and the Cochrane Library for potentially eligible studies published up to December 8, 2021, which were analysed on a per-image basis. STATA RevMan and Meta-DiSc were used to conduct this meta-analysis. A random effects model was used, and a subgroup and regression analysis was performed to explore sources of heterogeneity.Results: Eight studies published between 2017 and 2021 included 819 patients, and 18,414 frames were eventually included in the meta-analysis. The summary estimates for the WCE in identifying polyps by deep learning were sensitivity 0.97 (95% confidence interval (CI), 0.95-0.98); specificity 0.97 (95% CI, 0.94-0.98); positive likelihood ratio 27.19 (95% CI, 15.32-50.42); negative likelihood ratio 0.03 (95% CI 0.02-0.05); diagnostic odds ratio 873.69 (95% CI, 387.34-1970.74); and the area under the sROC curve 0.99.Conclusion: WCE uses deep learning to identify polyps with high accuracy, but multicentre prospective randomized controlled studies are needed in the future. [ABSTRACT FROM AUTHOR]

The change of perioperative immune function in patients with esophageal cancer is mainly caused by the joint action of surgical trauma and anesthesia. In our study, we aimed to investigate the effects of different anesthetic methods on the changes of T lymphocyte subsets and cytokines in peripheral blood of patients with esophageal cancer surgery. 50 patients with esophageal cancer were divided into the study group and the control group. Among them, the patients in the control group chose intravenous anesthesia and received self-controlled intravenous analgesia after surgery. Patients in the study group chose thoracic epidural anesthesia combined with general anesthesia, undergoing self-controlled epidural analgesia after surgery; serum interleukin-2 (IL-2) and soluble interleukin-2 receptor (sIL-2R) were measured by ELISA. Serum stress hormones GH and sIL-8 were measured by radioimmunoassay. Both groups of patients achieved significant postoperative analgesia, but the VAS score in the study group at the T2–T4 time point was lower than that in the control group. The serum GH concentration in the study group increased at T1 and reached its highest peak at T2, then decreased. The serum IL-8 concentration of the two groups showed a downward trend from T1 to T4. Thoracic epidural anesthesia combined with general anesthesia for postoperative epidural analgesia can relieve the degree of cellular immunosuppression during and after surgery. Moreover, the thoracic epidural block combined with general anesthesia for esophageal cancer surgery and epidural analgesia after surgery for patients are anesthetic and analgesic methods with clinically significant effects. Our research results have a positive effect on the promotion of postoperative rehabilitation in patients with malignant cell tumors. [ABSTRACT FROM AUTHOR]

Rehabilitation intervention which refers to the functional training by caregivers with the aid of specialized nursing techniques and the progressive promotion of patients' training initiative, with the purpose of improving mobility and quality of life, is of great significance. The purpose of the study was to investigate the effect of the rehabilitation intervention-centered targeted nursing model on the cardiac function recovery and negative emotions in patients with acute myocardial infarction (AMI). A total of 120 AMI patients admitted to our hospital between January 2019 and January 2020 were selected as the study subjects and randomly divided into group A (n = 60) and group B (n = 60), in which the group B patients received routine nursing combined with rehabilitation intervention, while based on the treatment in group B, the patients in group A underwent rehabilitation intervention-centered targeted nursing model. Then, the cardiac function indexes, negative emotion score, levels of risk factors for heart failure, complication rate (CR), and the quality of life (QOL) of the patients were compared between the two groups. The cardiac function indexes of the patients after nursing in group A were significantly better than those in group B (P < 0.001); the negative emotion scores of the patients after nursing in group A were significantly lower than those in group B (P < 0.001); the levels of risk factors for heart failure of the patients after nursing in group A were significantly lower than those in group B (P < 0.001); the CR of the patients in group A at 15 d and 30 d after admission was significantly lower than that in group B (P < 0.05); the QOL scores of the patients after nursing in group A were significantly higher than those in group B (P < 0.001). Rehabilitation intervention-centered targeted nursing model can optimize cardiac function, weaken the levels of risk factors for heart failure, reduce the incidence of complications, improve psychological conditions, and enhance the quality of life in AMI patients, which is worthy of application and promotion in clinical practice. [ABSTRACT FROM AUTHOR]

Background. Colorectal endoscopic submucosal dissection (ESD) is a complex operation. Effective traction is crucial. We have successfully used an orthodontic rubber band (ORB) combined with the clip traction method to assist ESD (ORB-ESD). The aim of this retrospective study is to describe the method and to compare the efficacy and safety of ORB-ESD versus conventional ESD in the treatment of superficial colorectal tumors. Methods. We retrospectively analyzed the data of patients with superficial colorectal tumor (with diameter ≥ 20 mm) who received either ORB-ESD (n = 34) or conventional ESD (n = 90) between January 2019 and September 2020. Propensity score matching (PSM) was used to match the clinical data of 31 pairs of patients in each group. Results. Operation time was significantly shorter for ORB-ESD than for conventional ESD (34.5 minutes vs. 56 minutes, P ≤ 0.001). In the propensity-matched cohorts, the operation time remained significantly shorter in the ORB-ESD patients (35 minutes vs. 50 minutes, P = 0.001). Postoperative adverse events, en bloc resection rate, and R0 resection rate were comparable between the two groups (P > 0.05), both before and after propensity score matching. In the ORB subgroup analysis, the trainee and expert ESD operation times were similar (37 (26–53) vs. 33.5 (26–37) minutes, respectively; P = 0.274). Conclusion. ORB-ESD appears to be an effective technique for ESD of colorectal cancer. Our findings need to be confirmed in large prospective multicenter studies. [ABSTRACT FROM AUTHOR]

With the development of minimally invasive technology, minimally invasive surgery transforaminal lumbar interbody fusion has become an effective way to treat lumbar spinal stenosis. Lumbar spinal stenosis is one of the common diseases that cause backache or lumbago and sciatica. This article compares and analyzes the clinical efficacy of 60 patients with lumbar spinal stenosis surgery. It can be seen that the wound by MIS-TLIF is significantly less than that of traditional open surgery, and the postoperative recovery of MIS-TLIF is faster. So, MIS-TLIF is one of the concepts of minimally invasive surgery. The age distribution ranged from 56 to 78 years, with an average of 65.7 years. 31 cases were treated with MIS-TLIF (MIS-TLIF group), and 29 were treated with traditional posterior open surgery (TLIF group). The operation time, intraoperative blood loss, and postoperative drainage of the operation area were recorded. After statistical testing, the intraoperative blood loss, incision size, and postoperative drainage volume of the wound in the MIS-TLIF group were significantly less than those in the TLIF group. The results of JOA score, ODI score, and VAS score during the postoperative follow-up period were comparable to those of open surgery. Therefore, minimally invasive transforaminal lumbar interbody fusion is effective in treating lumbar spinal stenosis. [ABSTRACT FROM AUTHOR]

With the continuous promotion of industrialization and urbanization, China's environmental pollution is becoming increasingly serious, which has caused considerable damage to the natural balance. Air pollution seriously harms people's physical and mental health, the ecological environment, and the social sustainable development of society. In this study, the backward trajectory model and multifractal methods were adopted to analyze air pollution in Zhengzhou. The backward trajectory analysis showed that most clusters of air pollution were from southern Hebei, eastern Shandong, and mid-western Henan, which were then transported to Zhengzhou. For the PSCF and CWT analyses, we selected four representative cities to explore how close the air pollution of Zhengzhou is to other areas on the basis of air polluted concentration. The results of several multifractal methods indicated that multifractality existed in the AQI time series of Zhengzhou and cross-correlations between Zhengzhou and each of the four cities. The widths of multifractal spectra showed that the air pollution in Zhengzhou was closest to that in Jinan, followed by Shijiazhuang, Zibo, and Luoyang. The CDFA analysis showed that carbon monoxide (CO), nitrogen dioxide (NO2), and inhalable particulate matter (PM10) had important influences on air pollution in Zhengzhou. These findings offer a useful reference for air pollution sources and their potential contributions in Zhengzhou, which can support policy makers in environmental governance and in achieving sustainable urban development. [ABSTRACT FROM AUTHOR]

Navigation plays an important role in the task execution of the micro-unmanned aerial vehicle (UAV) swarm. The Cooperative Navigation (CN) method that fuses the observation of onboard sensors and relative information between UAVs is a research hotspot. Aiming at the efficiency and accuracy problems of previous studies, this article proposes a hybrid-CN method for UAV swarm based on Factor Graph and Kalman filter. A global Factor Graph is used to combine Global Navigation Satellite System (GNSS) and ranging information to provide position estimations for modifying the distributed Kalman filter; distributed Kalman filter is established on each UAV to fuse inertial information and optimized position estimation to modify the navigation states. In order to provide time-consistent GNSS position information for the Factor Graph, a time synchronization filter is designed. The proposed method is tested and verified using standard Monte Carlo simulations, simulation results show that it can provide a more precise and efficient CN solution than traditional CN methods. [ABSTRACT FROM AUTHOR]

Intervertebral disc degeneration (IDD) is widely accepted as a cause of low back pain and related degenerative musculoskeletal disorders. Nucleus pulposus (NP) cell loss is closely related to IDD progression. Thus, investigating the specifically targeted therapeutic agents against NP cell loss depends on understanding the molecular mechanisms. In this study, human NP cells were treated with hydrogen peroxide (H2O2). Cell viability was assessed by using the Cell Counting Kit-8 (CCK-8) kit. The expression of circRNA arginine-glutamic acid dipeptide repeats (hsa_circ_RERE) and miR-299-5p was analyzed by real-time quantitative PCR. Western blot analysis was used to assess the protein expression levels. The autophagy levels in NP cells were detected by using an electronic microscope, LC3B protein immunofluorescence, and western blot. The apoptosis levels of NP cells were detected by flow cytometry and western blot. Dual-luciferase reporter assay analyzed the miR-299-5p bound to circ_RERE and galectin-3. Our results revealed that H2O2 significantly inhibited the viability of NP cells, promoted apoptosis and autophagy, and upregulated galectin-3 expression. miR-299-5p was reduced in IDD and H2O2-induced NP cells. The overexpression of miR-299-5p promoted cell viability and attenuated apoptosis and autophagy under H2O2 treatment. Besides, circ_RERE was upregulated in IDD and H2O2-induced NP cells. However, knockdown of circ_RERE reversed the effects of miR-299-5p overexpression on cell viability, apoptosis, and autophagy in NP cells. We propose that circ_RERE promotes the H2O2-induced apoptosis and autophagy of NP cells through the miR-299-5p/galectin-3 axis and may provide a new target for the clinical treatment of IDD. [ABSTRACT FROM AUTHOR]

Background. Currently, immunotherapy is widely used for breast cancer (BC) patients, and tumor mutation burden (TMB) is regarded as a valuable independent predictor of response to immunotherapy. However, specific gene mutations and their relationship with TMB and tumor-infiltrating immune cells in BC are not fully understood. Methods. Comprehensive bioinformatic analyses were performed using data from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets. Survival curves were analyzed via Kaplan-Meier analysis. Univariate and multivariate Cox regression analyses were used for prognosis analysis. Gene set enrichment analysis (GSEA) was performed to explore regulatory mechanisms and functions. The CIBERSORT algorithm was used to calculate the tumor-infiltrating immune cell fractions. Results. We analyzed somatic mutation data of BC from TCGA and ICGC datasets and found that 19 frequently mutated genes were reported in both cohorts, namely, SPTA1, TTN, MUC17, MAP3K1, CDH1, FAT3, SYNE1, FLG, HMCN1, RYR2 (ryanodine receptor 2), GATA3, MUC4, PIK3CA, KMT2C, TP53, PTEN, ZFHX4, MUC16, and USH2A. Among them, we observed that RYR2 mutation was significantly associated with higher TMB and better clinical prognosis. Moreover, GSEA revealed that RYR2 mutation-enriched signaling pathways were related to immune-associated pathways. Furthermore, based on the CIBERSORT algorithm, we found that RYR2 mutation enhanced the antitumor immune response by enriching CD8+ T cells, activated memory CD4+ T cells, and M1 macrophages. Conclusion. RYR2 is frequently mutated in BC, and its mutation is related to increased TMB and promotes antitumor immunity; thus, RYR2 may serve as a valuable biomarker to predict the immune response. [ABSTRACT FROM AUTHOR]

The use of neural machine algorithms for English translation is a hot topic in the current research. English translation using the traditional sequential neural framework, which is too poor at capturing long-distance information, has its own major limitations. However, the current improved frameworks, such as recurrent neural network translation, are not satisfactory either. In this paper, we establish an attention coding and decoding model to address the shortcomings of traditional machine translation algorithms, combine the attention mechanism with a neural network framework, and implement the whole English translation system based on TensorFlow, thus improving the translation accuracy. The experimental test results show that the BLUE values of the algorithm model built in this paper are improved to different degrees compared with the traditional machine learning algorithms, which proves that the performance of the proposed algorithm model is significantly improved compared with the traditional model. [ABSTRACT FROM AUTHOR]

Stock market prediction has always been an important research topic in the financial field. In the past, inventors used traditional analysis methods such as K-line diagrams to predict stock trends, but with the progress of science and technology and the development of market economy, the price trend of a stock is disturbed by various factors. The traditional analysis method is far from being able to resolve the stock price fluctuations in the hidden important information. So, the prediction accuracy is greatly reduced. In this paper, we design a new model for optimizing stock forecasting. We incorporate a range of technical indicators, including investor sentiment indicators and financial data, and perform dimension reduction on the many influencing factors of the retrieved stock price using depth learning LASSO and PCA approaches. In addition, a comparison of the performances of LSTM and GRU for stock market forecasting under various parameters was performed. Our experiments show that (1) both LSTM and GRU models can predict stock prices efficiently, not one better than the other, and (2) for the two different dimension reduction methods, both the two neural models using LASSO reflect better prediction ability than the models using PCA. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT), cloud, and fog computing paradigms provide a powerful large-scale computing infrastructure for a variety of data and computation-intensive applications. These cutting-edge computing infrastructures, however, are nevertheless vulnerable to serious security and privacy risks. One of the most important countermeasures against cybersecurity threats is intrusion detection and prevention systems, which monitor devices, networks, and systems for malicious activity and policy violations. The detection and prevention systems range from antivirus software to hierarchical systems that monitor the traffic of whole backbone networks. At the moment, the primary defensive solutions are based on malware feature extraction. Most known feature extraction algorithms use byte N-gram patterns or binary strings to represent log files or other static information. The information taken from program files is expressed using word embedding (GloVe) and a new feature extraction method proposed in this article. As a result, the relevant vector space model (VSM) will incorporate more information about unknown programs. We utilize convolutional neural network (CNN) to analyze the feature maps represented by word embedding and apply Softmax to fit the probability of a malicious program. Eventually, we consider a program to be malicious if the probability is greater than 0.5; otherwise, it is a benign program. Experimental result shows that our approach achieves a level of accuracy higher than 98%. [ABSTRACT FROM AUTHOR]

The chemical method for the determination of the resistant starch (RS) content in grains is time-consuming and labor intensive. Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy are rapid and nondestructive analytical techniques for determining grain quality. This study was the first report to establish and compare these two spectroscopic techniques for determining the RS content in wheat grains. Calibration models with four preprocessing techniques based on the partial least squares (PLS) algorithm were built. In the NIR technique, the mean normalization + Savitzky–Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination (R c 2 = 0.672; R p 2 = 0.552) and a relative lower root mean square error value (RMSEC = 0.385; RMSEP = 0.459). In the ATR-MIR technique, the baseline preprocessing method exhibited a better performance regarding to the values of coefficient of determination (R c 2 = 0.927; R p 2 = 0.828) and mean square error value (RMSEC = 0.153; RMSEP = 0.284). The validation of the developed best NIR and ATR-MIR calibration models showed that the ATR-MIR best calibration model has a better RS prediction ability than the NIR best calibration model. Two high grain RS content wheat mutants were screened out by the ATR-MIR best calibration model from the wheat mutant library. There was no significant difference between the predicted values and chemical measured values in the two high RS content mutants. It proved that the ATR-MIR model can be a perfect substitute in RS measuring. All the results indicated that the ATR-MIR spectroscopy with improved screening efficiency can be used as a fast, rapid, and nondestructive method in high grain RS content wheat breeding. [ABSTRACT FROM AUTHOR]