Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research

The effect of traffic flow prediction plays an important role in routing selection. Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method. However, all of them have some shortcomings. This paper analyzes the existing algorithms on traffic flow prediction and characteristics of city traffic flow and proposes a road traffic flow prediction method based on transfer probability. This method first analyzes the transfer probability of upstream of the target road and then makes the prediction of the traffic flow at the next time by using the traffic flow equation. Newton Interior-Point Method is used to obtain the optimal value of parameters. Finally, it uses the proposed model to predict the traffic flow at the next time. By comparing the existing prediction methods, the proposed model has proven to have good performance. It can fast get the optimal value of parameters faster and has higher prediction accuracy, which can be used to make real-time traffic flow prediction

Delaying repatriation: Japanese technicians in early postwar China

Research on the Japanese living in Manchukuo in August 1945 has generally fostered the assumption that all Japanese there wanted to return to Japan as soon as possible. Yet, some made the conscious and voluntary decision to stay, at least for the short to medium term. Among those who chose to delay repatriation were a number of technicians employed by Mantetsu’s (South Manchurian Railroad Company) Ch¯uo Shikenjo. This paper looks at the political and personal realities faced by these technicians when making their decisions as whether to stay or leave in terms of the concepts of voluntary and involuntary repatriation. It shows that the circumstances faced, and consequently the decisions made by the technicians, differed over time. It argues that there were three main reasons behind any decision to stay: pragmatism, a sense of responsibility for Japan’s activities during the war and a sense of loyalty

A Novel Aniline Derivative from <i>Peganum harmala</i> L. Promoted Apoptosis via Activating PI3K/AKT/mTOR-Mediated Autophagy in Non-Small Cell Lung Cancer Cells

Non-small cell lung cancer (NSCLC) is a common clinical malignant tumor with limited therapeutic drugs. Leading by cytotoxicity against NSCLC cell lines (A549 and PC9), bioactivity-guided isolation of components from Peganum harmala seeds led to the isolation of pegaharoline A (PA). PA was elucidated as a structurally novel aniline derivative, originating from tryptamine with a pyrrole ring cleaved and the degradation of carbon. Biological studies showed that PA significantly inhibited NSCLC cell proliferation, suppressed DNA synthesis, arrested the cell cycle, suppressed colony formation and HUVEC angiogenesis, and blocked cell invasion and migration. Molecular docking and surface plasmon resonance (SPR) demonstrated PA could bind with CD133, correspondingly decreased CD133 expression to activate autophagy via inhibiting the PI3K/AKT/mTOR pathway, and increased ROS levels, Bax, and cleaved caspase-3 to promote apoptosis. PA could also decrease p-cyclinD1 and p-Erk1/2 and block the EMT pathway to inhibit NSCLC cell growth, invasion, and migration. According to these results, PA could inhibit NSCLC cell growth by blocking PI3K/AKT/mTOR and EMT pathways. This study provides evidence that PA has a promising future as a candidate for developing drugs for treating NSCLC

MTOPVIB interacts with AtPRD1 and plays important roles in formation of meiotic DNA double-strand breaks in Arabidopsis

Abstract Meiotic recombination is initiated from the formation of DNA double-strand breaks (DSBs). In Arabidopsis, several proteins, such as AtPRD1, AtPRD2, AtPRD3, AtDFO and topoisomerase (Topo) VI-like complex, have been identified as playing important roles in DSB formation. Topo VI-like complex in Arabidopsis may consist of subunit A (Topo VIA: AtSPO11-1 and AtSPO11-2) and subunit B (Topo VIB: MTOPVIB). Little is known about their roles in Arabidopsis DSB formation. Here, we report on the characterization of the MTOPVIB gene using the Arabidopsis mutant alleles mtopVIB-2 and mtopVIB-3, which were defective in DSB formation. mtopVIB-3 exhibited abortion in embryo sac and pollen development, leading to a significant reduction in fertility. The mtopVIB mutations affected the homologous chromosome synapsis and recombination. MTOPVIB could interact with Topo VIA proteins AtSPO11-1 and AtSPO11-2. AtPRD1 interacted directly with Topo VI–like proteins. AtPRD1 also could interact with AtPRD3 and AtDFO. The results indicated that AtPRD1 may act as a bridge protein to interact with AtPRD3 and AtDFO, and interact directly with the Topo VI-like proteins MTOPVIB, AtSPO11-1 and AtSPO11-2 to take part in DSB formation in Arabidopsis

Efficacy of Mobile-Based Cognitive Behavioral Therapy on Lowering Low-density Lipoprotein Cholesterol Levels in Patients With Atherosclerotic Cardiovascular Disease: Multicenter, Prospective Randomized Controlled Trial

BackgroundElevated low-density lipoprotein cholesterol (LDL-C) is an established risk factor for atherosclerotic cardiovascular disease (ASCVD). However, low adherence to medication and lifestyle management has limited the benefits of lowering lipid levels. Cognitive behavioral therapy (CBT) has been proposed as a promising solution. ObjectiveThis trial aimed to evaluate the efficacy of mobile-based CBT interventions in lowering LDL-C levels in patients with ASCVD. MethodsThis multicenter, prospective, randomized controlled trial enrolled 300 patients with ASCVD, who were randomly assigned to the mobile-based CBT intervention group and the control group in a ratio of 1:1. The intervention group received CBT for ASCVD lifestyle interventions delivered by WeChat MiniApp: “CBT ASCVD.” The control group only received routine health education during each follow-up. The linear regression and logistic regression analyses were used to determine the effects of a mobile-based CBT intervention on LDL-C, triglyceride, C-reactive protein, the score of General Self-Efficacy Scale (GSE), quality of life index (QL-index), and LDL-C up-to-standard rate (<1.8 mmol/L) at the first, third, and sixth months. ResultsFinally, 296 participants completed the 6-month follow-up (CBT group: n=148; control group: n=148). At baseline, the mean LDL-C level was 2.48 (SD 0.90) mmol/L, and the LDL-C up-to-standard rate (<1.8 mmol/L) was 21.3%. Mobile-based CBT intervention significantly increased the reduction of LDL-C change (%) at the 6-month follow-up (β=–10.026, 95% CI –18.111 to –1.940). In addition, this benefit remained when baseline LDL-C <1.8 mmol/L (β=–24.103, 95% CI –43.110 to –5.095). Logistic regression analysis showed that mobile-based CBT intervention moderately increased the LDL-C up-to-standard rates (<1.8 mmol/L) in the sixth month (odds ratio 1.579, 95% CI 0.994-2.508). For GSE and QL-index, mobile-based CBT intervention significantly increased the change of scores (%) at the 1-, 3-, and 6-month follow-up (all P values <.05). ConclusionsIn patients with ASCVD, mobile-based CBT is effective in reducing LDL-C levels (even for those who already had a standard LDL-C) and can improve self-efficacy and quality of life. Trial RegistrationChinese Clinical Trial Registry ChiCTR2100046775; https://www.chictr.org.cn/showproj.aspx?proj=12714