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Aiming at the scenario where edge devices rely on cloud servers for collaborative computing, this paper proposes an efficient edge-cloud collaborative reasoning method. In order to meet the application’s specific requirements for delay or accuracy, an optimal division point selection algorithm is proposed. A kind of multichannel supply chain price game model is constructed, and nonlinear dynamics theory is introduced into the research of the multichannel supply chain market. According to the actual competition situation, the different business strategies of retailers are considered in the modeling, which makes the model closer to the actual competition situation. Taking the retailer’s profit as an indicator, the influence of the chaos phenomenon on the market performance is analyzed. Compared with the previous studies, this thesis uses nonlinear theory to better reveal the operating laws of the economic system. This paper selects company A in the financial industry to acquire company B in Sweden. It is concluded that company B is currently facing financial difficulties, but its brand and technical advantages are far superior to company A. The indirect financial risk index of company B, that is, the investment environment, is analyzed, and the final investment environment score of the country where company B is located is 90 points, which is an excellent grade by scoring the investment environment of the target enterprise. Combining the investment environment score and the alarm situation prediction score, it is concluded that the postmerger financial risk warning level of company A is in serious alarm.

The great founding spirit of the Communist Party of China (CPC) inspires the Party to unite and lead the Chinese people to create miracles in the struggle over more than a century. The great founding spirit of the CPC is a valuable resource for conducting a series of ideological and political education courses in China. Integrating it into college ideological and political courses can help the students strengthen their ideals and beliefs, enhance their sense of responsibility, consolidate their sense of responsibility, and enhance their emotional and value identity of patriotism, loving the party, and loving the people. This paper aims to explore the value and practical path of integrating the great founding spirit of the CPC into ideological and political education, and it provides a reference for the study of integrating ideological and political education really into college campuses, teaching, and student’s mind.

Hepatocellular carcinoma (HCC) is the sixth leading cancer throughout the world and ranks fourth in cancer mortality. Necroptosis modulates tumorigenesis, metastasis, and treatment resistance. However, gene sets related to necroptosis in HCC are rarely analyzed. Hence, it is vital to assess the clinicopathological influence of necroptosis in a large HCC patient population. Our goal in this research was to develop a novel HCC prognostic indicator based on necroptosis. To that end, we examined 132 necroptosis related genes (NRGs) and recognized 36 differentially expressed NRGs (DE-NRGs) in the Cancer Genome Atlas (TCGA) cohort. Using both uni- and multivariate Cox regression models, we selected 4 NRGs, which can be employed to categorize HCC cases into low- or high-risk groups. Based on our survival analysis, the overall survival (OS) duration of high-risk cases was markedly shorter, in comparison with low-risk cases. We also verified using COX regression analysis that NRGs can serve as stand-alone prognostic indicators of HCC prognosis. Moreover, the area under the curve (AUC) of the combined prediction model was 0.807. Lastly, we also verified the validity of our model using the Gene Expression Omnibus (GEO) dataset. In summary, a state-of-the-art NRG-based HCC prognostic indicator is established to accurately predict the outcome of HCC cases to aid clinicians in the efficient planning and designing of personalized anti-HCC therapy.

Microplastic pollution is an emerging environmental problem, and little research has focused on its impact on the human body. Based on retrospective case series, the study required participants to fill out a questionnaire and provide sputum samples in order to investigate the presence of microplastics in human sputum and determine whether humans involuntarily inhale them. A total of 22 patients suffering from different respiratory diseases were recruited. We used an Agilent 8700 laser infrared imaging spectrometer and Fourier-transform infrared microscope to analyze sputum samples and evaluate microplastics in the respiratory tract. Remarkably, the size range of the method for detecting microplastics in our study is 20-500 μm. The results showed that 21 types of microplastics were identified, and polyurethane was dominant, followed by polyester, chlorinated polyethylene, and alkyd varnish, accounting for 78.36% of the total microplastics. Most of the aspirated microplastics detected are smaller than 500 μm in size (median: 75.43 μm; interquartile range: 44.67-210.64 μm). Microplastics are ubiquitous in all sputum, indicating that inhalation is a potential way for plastics to enter the human body. Additionally, the quantities of microplastic types in the respiratory tract are related to smoking, invasive examination, etc. (

This paper is an in-depth study of international trade quantification models based on deep neural networks. Based on an in-depth analysis of global trade characteristics, a summary of existing problems, and a comparative analysis of various prediction methods, this paper constructs the ARIMA model, BP neural network (BPNN) model, and deep neural network (DNN) model to make a comprehensive comparison of international trade quantification. The results show that the nonlinear model has a global trade quantification has some advantages over linear models, and the deep model shows better prediction performance than the shallow model. In addition, preprocessing of the time series is considered to improve the prediction accuracy or shorten the model training time. The empirical modal analysis method (EMD) is introduced to decompose the time series into eigenmodal functions (IMFs) of different scales. Then the decomposed IMF series are arranged into a matrix using principal component analysis (PCA) to reduce the dimensionality and extract the data containing the most stock index information features; these features are then input into BPNN and DNN for combined prediction, thus constructing the combined models EMD-PCA-BPNN and EMD-PCA-DNN. Based on Melitz’s heterogeneous firm trade theory and its development by Chaney, a quantitative trade model incorporating production heterogeneity is constructed through a multisector extension. This paper adopts a general equilibrium analysis, which makes the modeling process pulse clear. The completed model has high flexibility and scalability, which can be applied to quantitative analysis of various problems.

Purpose: We developed a contrast agent for targeting E-selectin expression. We detected the agent using magnetic resonance imaging (MRI) in vivo in nude mice that had undergone nasopharyngeal carcinoma (NPC) metastasis. Methods: Sialyl Lewis X (sLeX) was conjugated with ultrasmall superparamagnetic iron oxide (USPIO) nanoparticles. Hydrodynamic size, polydispersity index, and ζ-potential of USPIO-polyethylene glycol (PEG) nanoparticles and USPIO-PEG-sLeX nanoparticles were measured. Component changes in nanoparticles of USPIO, USPIO-PEG, and USPIO-PEG-sLeX were analyzed by thermogravimetric analysis and Fourier-transform infrared spectroscopy. A model of NPC metastasis to inguinal lymph nodes in nude mice was used to investigate characteristics of the USPIO-PEG-sLeX nanoparticles in vivo. We investigated the ability of the T2* value, change in T2* value (ΔT2* value), and enhancement rate (ER) to assess accumulation of USPIO-PEG-sLeX nanoparticles quantitatively in mice of a metastasis group and control group. Four MRI scans were undertaken for each mouse. The first scan (t0) was done before administration of USPIO-PEG-sLeX nanoparticles (0.1 mL) via the tail vein. The other scans were carried out at 0 (t1), 1 (t2), and 2 hours (t3) postinjection. The mean optical density was used to reflect E-selectin expression. Results: sLeX was labeled onto USPIO successfully. In vivo, there were significant interactions between the groups and time for T2* values after administration of USPIO-PEG-sLeX nanoparticles. Six parameters (T2* at t2, ΔT2* at t1, ΔT2* at t2, ER at t1, ER at t2, and ER at t3) were correlated with the mean optical density. Conclusion: USPIO-PEG-sLeX nanoparticles can be used to assess E-selectin expression quantitatively. Use of such molecular probes could enable detection of early metastasis of NPC, more accurate staging, and treatment monitoring.

Introduction Thalassaemia trait (TT) is potential to be missed clinically, especially normocytic thalassaemia. We aimed to establish discriminant functions (DFs) and an algorithm for detecting microcytic or normocytic TT in epidemiological screening. Methods The receiver operating characteristics (ROC) curve analysis was used to determine the diagnostic performance of the proposed formulas in differentiating TT and nonthalassaemia (non-TT). DFs combined the two blood count parameters with the highest performance, based on the area under the curve (AUC) value, into mathematical formulas, using logistic regression. The diagnostic efficacy of DFs was subsequently evaluated in 761 participants, and reliability (including adjusted agreement [AA] and Kappa values) and validity (including sensitivity, specificity, likelihood ratio and Youden's Index) were calculated. Results Among microcytic participants, the proposed DFs showed good diagnostic performance (in females: AUC = 0.892 [DF1 = 0.015 × RDW-CV/RBC - 0.096 × RDW-SD/RBC + 1.29], in males: AUC = 0.861 [DF2=-0.025 × RDW-SD/RBC - 0.035 × MCV/RBC + 1.415]). Youden's Index, AA and Kappa values for microcytic TT detection were 0.72, 0.86, and 0.72 and 0.63, 0.81 and 0.63 for females and males, respectively. In normocytic participants with RDW-CV/RBC ≤ 3.54, DF3=-0.38 × MCH-0.02 × MCHC+17.37 achieved AUC = 0.857 in females, whereas DF4 = 0.007 × MCV-0.113 × MCH+2.829 achieved AUC = 0.969 in males. The Youden's Index, AA and Kappa values for the proposed DFs for thalassaemia detection were 0.69, 0.84 and 0.67 in females, 0.76, 0.91 and 0.71 in males, respectively. Conclusion The proposed DFs performed well in the detection of TT among participants with microcytic and normocytic parameters and could be utilized in epidemiological study for TT.

Baicalein, a type of flavonoids extracted from Scutellaria baicalensis Georgi, has been reported to be a very promising drug for pancreatic cancer. However, it is unclear whether combination of baicalein with gemcitabine or docetaxel is synergistic to the treatment for pancreatic cancer (PC). We investigated the combinational effects of baicalein with gemcitabine or docetaxel on proliferation, cell cycle, migration and apoptosis of human PC cells. Administration of baicalein alone significantly inhibit the proliferation of PC cells. Notably, when it is combined with gemcitabine or docetaxel, combination index (CI) values calculated by Calcusyn software are smaller than 1, indicating the synergism of baicalein with gemcitabine or docetaxel for the treatment of PC cells. Consistently, EdU assay showed that administration of baicalein significantly enhanced the capacity of gemicitabine to inhibit proliferation of PC cells. Cell cycle analysis showed that high-concentration of baicalein was able to arrest PC cells in the S phase. Furthermore, low concentration of baicalein in combination with either gemcitabine or docetaxel exhibited strong suppression on the migration of PC cells. A further study using transmission electron microscope (TEM), DAPI staining and western blot showed that baicalein induced-apoptosis of PC cells might be via caspase-3/PARP signaling pathway. Notably, combination treatment was able to induce more severe cell apoptosis of PC cells. In conclusion, baicalein exhibited synergistic effects with gemcitabine or docetaxel on the treatment of PC cells.

In view of the inconvenience of picking up packages on campus for students today, we propose a mode of "taking packages conveniently" based on the sharing concept. Based on the mode, we designed a platform that can share the dispatching information of packages between students. Students interact with others through the platform and the supplier can help the demander to pick up the packages without additional time and effort. We build the platform by writing WeChat mini program and using databases and other technologies. Through offline testing of students in Beijing University of Posts and Telecommunications, we found about 40% reduce in average pickup time of students, which can improve the utilization of social resources. This mode has a great development prospect in the campus, and can be extended to the companies and even the pickup service between cities.

Normal pulmonary artery pressure and pulmonary hypertension assessment of newborns is rarely reported. The aim of the study is to explore dynamic changes of pulmonary arterial pressure and ductus arteriosus in human newborns from birth to 72 h of age with echocardiography. A total of 76 cases of normal newborns were prospectively detected by echocardiography after birth of 2 h, 6 h, 12 h, 24 h, 48 h, and 72 h, respectively. Ductus arteriosus diameter, blood shunt direction, blood flow velocity, and pressure gradient were recorded. The brachial artery blood pressure were measured to estimate the pulmonary artery systolic pressure (PASP) and pulmonary artery diastolic pressure (PADP) using patent ductus arteriosus pressure gradient method. The mean pulmonary artery pressure (PAMP) were calculated by equation of PAMP = PADP + 1/3(PASP-PADP). (1) There were 76 cases of normal newborns. Among them, 29 cases (38%) ductus arteriosus closed within 24 h, 59 cases (78%) closed within 48 h, 72 cases (95%) closed within 72 h, and 4 cases (5%) ductus arteriosus not closed within 72 h. (2) The ductus arteriosus diameter of 2 h, 6 h, 12 h, 24 h, 48 h, and 72 h after birth was 4.60 ± 0.59 mm, 3.37 ± 0.59 mm, 2.47 ± 0.49 mm, 1.89 ± 0.41 mm, 1.61 ± 0.35 mm, and 1.20 ± 0.24 mm, respectively. Compared all of the ductus arteriosus diameter of the above time periods, there were statistically differences with P 40.00 mm Hg according to our limited study.

To investigate the changes of genetic damage in patients with arsenism caused by coal-burning in 9 years. To analyze the relationship between the changes of genetic damage and disease progression and provide a basis for condition monitoring.Of 206 arsenism patients from the area with endemic arsenism in Guizhou province were tracking surveyed in February 1998 and divided into 4 groups, including suspicious, mild, moderate and severe poisoning group. Another 67 healthy residents from a neighbour township 12 km away where arsenic was not prevalent were surveyed. Over a 9-year follow-up, 131 arsenism patients and 45 controls with the complete biochemical indexes among them were selected as subjects in December 2006. Arsenic (As) concentration of urine and hair were detected by silver diethyldithiocarbamate spectrophotometry (Ag-DDC). Micronucleis (MN) and chromosome aberrations (CA) were analyzed by conventional methods. DNA single-strand breaks of peripheral blood were measured by single cell gel electrophoresis (SCGE), and the tail lengths of comet were used to measure DNA damage.Among the control, suspicious, mild, moderate and severe arsenic poisoning group, the As contents of urine and hair were respectively (34.16 ± 10.25), (52.35 ± 22.41), (62.26 ± 31.13), (71.43 ± 49.92), (78.45 ± 50.64) µg/L and (1.37 ± 0.56), (3.69 ± 1.78), (4.88 ± 3.49), (5.21 ± 3.10), (6.25 ± 4.04) µg/g in 2006, which were lower than that 9 years before (urine as contents were (36.07 ± 20.70), (73.65 ± 41.33) , (90.92 ± 82.14) , (126.55 ± 107.31) and (139.44 ± 90.90) µg/L, and hair As contents were (1.41 ± 1.18), (4.85 ± 4.20), (5.72 ± 4.07) , (6.43 ± 4.32) and (7.19 ± 4.68) µg/g, respectively, F value was 10.63, 7.72, 14.66, 11.00 respectively, all P values were0.05). Except for suspicious poisoning group, the differences of urine As contents in the other groups all showed significance (P0.05). The incidences of MN were (0.238 ± 0.130) %, (0.268 ± 0.192) %, (0.283 ± 0.157) % and (0.391 ± 0.233)%; the incidences of CA were (14.36 ± 5.44) %, (18.09 ± 6.49) %, (19.38 ± 5.63)% and (19.83 ± 5.84) %; the tail lengths of comet were (29.88 ± 13.81) , (29.84 ± 12.80) , (34.50 ± 9.88) and (41.58 ± 12.98) µm respectively in 2006 for all poisoning groups; which were higher than that 9 years before(the incidences of MN were (0.163 ± 0.051) %, (0.186 ± 0.117) %, (0.196 ± 0.104) % and (0.273 ± 0.142) %; the incidences of CA were (13.18 ± 5.17)%, (14.48 ± 6.61)%, (15.67 ± 8.49) % and (16.90 ± 8.38) %; the tail lengths of comet were (15.07 ± 12.93) , (19.57 ± 8.80) , (27.03 ± 10.77) and (34.71 ± 14.95) µm) , except for the incidences of MN and CA in suspicious poisoning group and of MN in mild poisoning group , the differences of the three indexes in the other groups were significant (P0.05) . The state of illness of arsenic poisoning patients aggravated 9 years later. With the increase of urine and hair As contents and the development of arsenism, the incidences of MN, CA and the tail lengths of comet of all poisoning groups increased. There were positive correlations among them (r values were respectively 0.212, 0.316, 0.232, 0.263, 0.321, 0.654 and 0.760) (P0.05).The exacerbation of genetic damage was related to constantly high arsenic loads. The accumulation of genetic damage and its irreversibility might be one of the important reasons of the development of arsenism and cancer.