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The prediction of stock market fluctuations is crucial for decision-making in various financial fields. Deep learning algorithms have demonstrated outstanding performance in stock market index prediction. Recent research has also highlighted the potential of the Transformer model in enhancing prediction accuracy. However, the Transformer faces challenges in multi-step stock market forecasting, including limitations in inference speed for long sequence prediction and the inadequacy of traditional loss functions to capture the characteristics of noisy, nonlinear stock history data. To address these issues, we introduce an innovative transformer-based model with generative decoding and a hybrid loss function, named “Galformer,” tailored for the multi-step prediction of stock market indices. Galformer possesses two distinctive characteristics: (1) a novel generative style decoder that predicts long time-series sequences in a single forward operation, significantly boosting the speed of predicting long sequences; (2) a novel loss function that combines quantitative error and trend accuracy of the predicted results, providing feedback and optimizing the transformer-based model. Experimental results on four typical stock market indices, namely the CSI 300 Index, S&P 500 Index, Dow Jones Industrial Average Index (DJI), and Nasdaq Composite Index (IXIC), affirm that Galformer outperforms other classical methods, effectively optimizing the Transformer model for stock market prediction.

RABEX-5, a guanine-nucleotide exchange factor (GEF) for RAB-5, is implicated in tumorigenesis and in the development of certain human cancers. Here, we report that RABEX-5 promotes tumor growth and the metastatic ability of gastric cancer cells both in vitro and in vivo. Expression of RABEX-5 is significantly higher in gastric cancer tissues and is associated with tumor size and lymph node metastasis. In addition, targeted silencing of RABEX-5 reduced gastric cancer cell proliferation and colony formation in vitro via the induction of a G0/G1 phase arrest, and stimulated gastric cancer cell apoptosis. Knockdown of RABEX-5 also inhibited wound healing, migration and the invasive abilities of gastric cancer cells. The results of in vivo animal experiments were also consistent with these in vitro findings. Silencing of RABEX-5 led to decreased expression of VEGF. These results indicate that RABEX-5 is upregulated and plays an oncogenic role in gastric cancer development by activating the VEGF signaling pathway.

Jun Li, Ling Zhang, Aixia LuDepartment of Cardiology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, People's Republic of ChinaEarly myocardial revascularization by the primary percutaneous coronary intervention (PPCI) was an important treatment for patients with ST-segment elevated myocardial infarction (STEMI); thus, a proportion of STEMI subjects still have impaired cardiac function and increased cardiovascular mortality.Recently, we read with great interest the study by Xu et al.1 The authors performed a meta-analysis to evaluate the effectiveness of the administration of nicorandil during percutaneous coronary intervention in patients with acute myocardial infarction. They concluded that periprocedural nicorandil improves coronary blood flow, cardiac systolic function and prognosis in STEMI patients receiving primary PCI. The research appears informative clinically. Thus, we addressed some issues regarding this study.View the original paper by Li Xu and colleagues

RABEX-5, a guanine-nucleotide exchange factor (GEF) for RAB-5, is implicated in tumorigenesis and in the development of certain human cancers. Here, we report that RABEX-5 promotes tumor growth and the metastatic ability of gastric cancer cells both in vitro and in vivo. Expression of RABEX-5 is significantly higher in gastric cancer tissues and is associated with tumor size and lymph node metastasis. In addition, targeted silencing of RABEX-5 reduced gastric cancer cell proliferation and colony formation in vitro via the induction of a G0/G1 phase arrest, and stimulated gastric cancer cell apoptosis. Knockdown of RABEX-5 also inhibited wound healing, migration and the invasive abilities of gastric cancer cells. The results of in vivo animal experiments were also consistent with these in vitro findings. Silencing of RABEX-5 led to decreased expression of VEGF. These results indicate that RABEX-5 is upregulated and plays an oncogenic role in gastric cancer development by activating the VEGF signaling pathway.

With the rapid development of network technology and the multimedia technology, campus network has become an important means of teaching, research, management and access to information. However, it is difficult to manage and maintain the campus network due to its large users, many access modes, multi-network applications and high sudden network behaviors. Based on the characteristics of campus network, this paper focuses on introducing the application of VLAN technology in the construction of the campus network security and making an analysis on the scope and prospect of the technology.

It is very difficult to have remote sensing data with both high spatial resolution and high temporal frequency; thus, two categories of land-use mapping methodology have been developed separately for coarser resolution and finer resolution data. The first category uses time series of data to retrieve the variation of land surface for classification, which are usually used for coarser resolution data with high temporal frequency. The second category uses fine spatial resolution data to classify different land surface. With the launch of Chinese satellite constellation HJ-1in 2008, four 30 m spatial resolution CCDs with about 360 km coverage for each one onboard two satellites made a revisit period of two days, which brought a new type of data with both high spatial resolution and high temporal frequency. Therefore, by taking the spatiotemporal advantage of HJ-1/CCD data we propose a new method for finer resolution land cover mapping using the time series HJ-1/CCD data, which can greatly improve the land cover mapping accuracy. In our two study areas, the very high resolution remote sensing data within Google Earth are used to validate the land cover mapping results, which shows a very high mapping accuracy of 95.76% and 83.78% and a high Kappa coefficient of 0.9423 and 0.8165 in the Dahuofang area of Liaoning Province and the Heiquan area of Gansu Province respectively.

Exosomal microRNAs (miRs/miRNAs) have been reported to be associated with cervical cancer. The aim of the present study was to investigate circulating exosomal miRNA as a biomarker for cervical cancer diagnosis. In the present study, samples from 6 patients with cervical cancer and 6 healthy control subjects were retrieved for exosomal RNA-sequencing. The results revealed that a total of 39 miRNAs were differentially expressed between patients with cervical cancer and healthy controls (P<0.001; fold-change >2.0). Exosomal miR-125a-5p was further quantified in plasma from 60 subjects, which included 22 healthy individuals and 38 patients with cervical cancer. miR-16a-5p served as the reference miRNA for quantitative PCR analysis of exosomal miR-125a-5p in patients with cervical cancer and healthy individuals. The results revealed that exosomal miR-125a-5p expression levels in the patients with cervical cancer were significantly lower than those in the healthy controls (P<0.001). Receiver operating characteristic (ROC) curve analyses were performed and the results revealed that the level of plasma exosomal miR-125a-5p was a potential marker for differentiating between non-cervical cancer and cervical cancer, with an ROC area under the curve of 0.7129. At the cut-off value of 2.537 for miR-125a-5p, cervical cancer diagnostic sensitivities and specificities were 59.1 and 84.2%, respectively. The present study provides confirmation that exosomal miR-125a-5p could potentially serve as a biomarker for cervical cancer diagnosis. The present study involved only a small number of clinical samples; more samples are required to support the conclusions of the present study.

The proper regulation of transcription is essential for maintaining genome integrity and executing other downstream cellular functions 1 , 2 . Here we identify a stable association between the genome-stability regulator sensor of single-stranded DNA (SOSS) 3 and the transcription regulator Integrator-PP2A (INTAC) 4 , 5 – 6 . Through SSB1-mediated recognition of single-stranded DNA, SOSS–INTAC stimulates promoter-proximal termination of transcription and attenuates R-loops associated with paused RNA polymerase II to prevent R-loop-induced genome instability. SOSS–INTAC-dependent attenuation of R-loops is enhanced by the ability of SSB1 to form liquid-like condensates. Deletion of NABP2 (encoding SSB1) or introduction of cancer-associated mutations into its intrinsically disordered region leads to a pervasive accumulation of R-loops, highlighting a genome surveillance function of SOSS–INTAC that enables timely termination of transcription at promoters to constrain R-loop accumulation and ensure genome stability. SOSS–INTAC stimulates promoter-proximal termination of transcription and attenuates R-loops associated with paused RNA polymerase II to prevent R-loop-induced genome instability.

Iron accumulation is an important cause of various brain diseases. As a ferroxidase, ceruloplasmin (Cp) plays a key role in iron homeostasis and its abnormal activity leads to iron accumulation. However, the detailed biological function of Cp in brain iron homeostasis needs to be investigated. In this study, Cp knockout mice were prepared and the changes in iron content and protein expression related to iron metabolism were detected. The results showed that iron accumulation occurred in multiple tissues and organs of Cp knockout mice, but there was no obvious change in brain tissues. However, Cp deficiency affected the expression of many iron metabolism-related proteins in midbrain, such as DMT1+IRE, heavy chain ferritin (H-ferritin) and light chain ferritin (L-ferritin). Cp deficiency also impaired the behavioral ability of mice, including weakened exercise ability and reduced motor coordination. In vitro cell experiment indicated that the sensitivity of Cp knockout neuron and astrocyte to hypoxia was higher than that of wild type, which means Cp deficiency leads to the damage of cell self-protection. All these results confirm that Cp exerts a protective effect on the brain by regulating iron metabolism.