Predicting the stock market has become an increasingly interesting research area for both researchers and investors, and many prediction models have been proposed. In these models, feature selection techniques are used to pre-process the raw data and remove noise. In this paper, a prediction model is constructed to forecast stock market behavior with the aid of independent component analysis, canonical correlation analysis, and a support vector machine. First, two types of features are extracted from the historical closing prices and 39 technical variables obtained by independent component analysis. Second, a canonical correlation analysis method is utilized to combine the two types of features and extract intrinsic features to improve the performance of the prediction model. Finally, a support vector machine is applied to forecast the next day's closing price. The proposed model is applied to the Shanghai stock market index and the Dow Jones index, and experimental results show that the proposed model performs better in the area of prediction than other two similar models.
Abstract Flexible strain monitoring of hand and joint muscle movement is recognized as an effective method for the diagnosis and rehabilitation of neurological diseases such as stroke and Parkinson's disease. However, balancing high sensitivity and large strain, improving wearing comfort, and solving the separation of diagnosis and treatment are important challenges for further building tele‐healthcare systems. Herein, a hydrogel‐based optical waveguide stretchable (HOWS) sensor is proposed in this paper. A double network structure is adopted to allow the HOWS sensor to exhibit high stretchability of the tensile strain up to 600% and sensitivity of 0.685 mV % −1 . Additionally, the flexible smart bionic fabric embedding the HOWS sensor, produced through the warp and weft knitting, significantly enhances wearing comfort. A small circuit board is prepared to enable wireless signal transmission of the designed sensor, thereby improving the daily portability. A speech recognition and human‐machine interaction system, based on sensor signal acquisition, is constructed, and the convolutional neural network algorithm is integrated for disease assessment. By integrating sensing, wireless transmission, and artificial intelligence (AI), a smart tele‐healthcare system based on HOWS sensors is demonstrated to hold great potential for early warning and rehabilitation monitoring of neurological diseases.
As the strain signals of the metal structure is nonlinear, non-stationary and complexity, inevitable, the Hilbert Spectrum(HS) obtained by the classical HHT (Hilbert-Huang Transform) method is often disrupted by noise and performs poor time-frequency concentration which will certainly affect the readability of time-frequency spectrum. This paper aims to extract signal feature from noise background without destruction of the internal characteristics of the signal. A novel HS analysis approach based on histogram processing is proposed. The approach ignores the value of the smaller frequency points, retains larger points of the frequency values. The experiments results showed that the feature of car dumper strain signals was extracted more effectively by using histogram processing compared with the classical HHT methods.
The paper is based on the works studied of the authors. The technol ogy used pulse YAG laser removing the burrs are discussed and look forward to th e future for the applications of aircraft industry.
The joint optimization problem of a 5G-inspired IIoT-MEC interactive network aims to maximize revenue of MNOs and minimize IIoT operators' economic cost is formulated, which is challenging to be solved. This letter proposes a dynamic pricing strategy for IIoT-MEC network to maximize MNOs' revenue while providing acceptable service prices for IIoT mobile devices (MDs). The dynamic pricing problem is first modeled as a discrete finite Markov decision process (MDP). Then Q-learning algorithm is utilized to solve this problem. The results show that the proposed dynamic pricing strategy can significantly enhance MNOs' revenue and decrease IIoT operators' economic cost.
The efficacy and safety of internal carotid artery (ICA) embolization as a treatment strategy in recurrent nasopharyngeal carcinoma (rNPC) patients with tumors invading the ICA remain unclear.We enrolled all rNPC patients with tumors invading the ICA, who underwent salvage endoscopic surgery. Using propensity scores to adjust for specific potential prognostic factors, a well-balanced cohort of 42 patients with limited rNPC was formed by matching each patient who underwent ICA embolization (study group) with one who did not (control group). The survival rates and common treatment-related complications were compared between the 2 groups.The cohort included patients with the following tumor stages: rT2 (n = 3), rT3 (n = 24), and rT4 (n = 15). During a median follow-up of 15 (range, 2-63) months, the 2-year overall survival and progression-free survival rates were significantly higher in the ICA embolization group than in the ICA nonembolization group (90.5% vs 53.3% and 71.3% vs 33.0%, respectively; and p = 0.022 and p = 0.006, respectively). In addition, the incidence of treatment-related complications, such as nasal obstruction, nasopharyngeal hemorrhage, and nasopharyngeal necrosis, was significantly lower in the ICA embolization group than in the nonembolization group (p = 0.001, p = 0.014, and p = 0.038, respectively).The innovative application of ICA embolization in endoscopic surgery in patients with rNPC invading the ICA significantly improved patient survival and reduced the risk of treatment-related complications. Therefore, this may be a safe and effective method with the potential to improve outcomes in rNPC patients.
Tableau method with quantifiers in first-order multiple-valued logic has uniform rules of extension, and sound and completeness have been proved by Zabel and so on. The number of branches increases in exponent with the increasing of truth-value, which will affect the performance efficiency of machine. A Boolean pruning method is proposed in this paper, which simplified the extended rules of logic formula with quantifiers in first-order multiple-valued greatly by linking the signed formula and upper/lower bound of set. In addition, through the analyzing of Boolean pruning method, simplified tableau reasoning method for a kind of special regular logic formulae in first-order multiple-valued was founded, which made logic tableau reasoning method with quantifiers in first-order multiple-valued is similar to classical logic tableau method
To characterize features of organized hematoma (OH) that may cause considerable diagnostic difficulties.Case series with chart review.Tertiary medical center.Eighty-four patients with pathologically confirmed OH over a 10-year period were retrospectively reviewed for clinical features, imaging findings, pathologic characteristics, and treatment modalities.This study included 39 males and 45 females who presented with frequent epistaxis and nasal obstruction. There were 62 (74%) patients >40 years old (mean, 50; range, 9-81). OH mainly originated in the maxillary sinus (n = 82) or nasal cavity (n = 2) unilaterally, and most were expansile masses (n = 73) that extended into nasal cavity (n = 71) or choanae (n = 17). Several lesions were locally aggressive and simulated a malignant process that involved the ethmoid sinus (n = 22), orbit (n = 11), pterygopalatine fossa (n = 16), infratemporal fossa (n = 9), cheek (n = 3), and hard palate (n = 3). Internal architecture on computed tomography (CT) scans showed OH with expansile remodeling of the maxillary wall (82.1%) and smooth bony destruction (70.2%), whereas T2-weighted magnetic resonance (MR) images showed inhomogeneity with a notable hypointense peripheral rim in all lesions. CT and MR contrast-enhanced images revealed patchy heterogeneous enhancement that could be interpreted according to histopathologic findings of hemorrhage and neovascularization. OH was successfully removed with endoscopic surgery, although 5 cases recurred.OH can be successfully treated by endoscopic surgery. CT and MR examination provide characteristic findings for prediction and careful surgical planning.
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