Predicting complex, volatile, and nonlinear financial stock prices is a challenging task due to the multitude of factors and inherent uncertainty that influence the financial market. This paper ...proposes a novel approach based on a neural network model that combines the Hodrick-Prescott (HP) filter and a Multi-Scale Gaussian transformer to address these challenges. The proposed method enhances the local features of the model by employing a multi-scale Gaussian transformer. Firstly, the time series of stocks is decomposed into long-term and short-term fluctuations using the HP filter. Next, the encoded long-term and short-term series are input into a multi-scale Gaussian transformer. Finally, a Multi-Scale Gaussian prior is introduced to further enhance the local features of the transformer and improve the relative positional information features of the time series. Compared to popular recurrent neural networks such as RNN, LSTM, GRU, and state-of-the-art baseline models, ours model (HPMG-Transformer) has the unique advantage of capturing both extremely long-term and short-term dependencies in stock time series. Experimental results demonstrate the significant advantages of our proposed model in predicting stock trends in the China A-shares market, New York Stock Exchange (NYSE) and NASDAQ market.
This Minireview summarizes the recent progress of stimuli‐responsive purely organic phosphorescence materials. Organic phosphorescence is closely related to the intermolecular interactions, because ...such interactions are beneficial to promote spin orbital coupling (SOC) and boost intersystem cross (ISC) efficiency and finally are conducive to satisfactory phosphorescence. It is found that the intermolecular interactions, which are essential for organic phosphorescence, are easily disturbed by external stimuli such as mechanical force, photon, acid, chemical vapor, leading to the luminescence change. According to this principle, various purely organic phosphorescence materials sensitive to external stimuli have been developed. This Minireview categorizes reported stimuli‐responsive purely organic phosphorescence materials on the basis of different stimuli, including mechanochromism, mechanoluminescence, photoactivity, acid‐responsiveness and other stimuli. Some prospective strategies for constructing stimuli‐responsive purely organic phosphorescence molecules are provided.
Stimulus check: The minireview categorizes reported stimuli‐responsive purely organic phosphorescence materials on the basis of different stimuli, including mechanochromism, mechanoluminescence, photoactivity, acid‐responsiveness and other stimuli. Some prospective strategies for constructing stimuli‐responsive purely organic phosphorescence molecules are provided.
In order to solve the problem of ship route planning at sea, we reduce the economic cost of ship navigation planning and improve the efficiency of ship navigation. As a result, the goal of this work ...is to delve into the mathematical modeling and the best algorithm for marine ship route planning. To begin, a mathematical model of ship route planning is created, taking into account the impact of nonuniformity in the offshore wind field on ship route planning, with the shortest ship sailing time as the goal. Based on the mathematical model, the ant colony algorithm is used to optimize the initial route of the ship. Finally, through the optimization of the ant colony algorithm, the optimal route with the shortest total length and the smaller steering angle is obtained, and the optimal ship navigation planning scheme is obtained. The simulation results show that, when compared to artificial intelligence and genetic algorithms, the optimization algorithm suggested in this research produces the best ship route planning outcomes and has the lowest economic cost, which may effectively increase the efficiency of ship route work.
Abstract Anthocyanins, which are abundant in blueberries, provide significant protection against many chronic diseases. We investigated the effects of blueberry anthocyanins (BA) on diabetes-induced ...oxidative stress and inflammation in rat retinas. Male rats were divided randomly into five groups. Intraperitoneal injection of streptozotocin (STZ, 60 mg/kg) was used to induce a rat diabetes model. BA at 20, 40, and 80 mg/kg were given orally for about 12 weeks. The results showed that BA could prevent diabetes-induced weight loss and increased blood glucose. BA also upregulated the antioxidant capacity of the retina, increased the content of glutathione (GSH) and glutathione peroxidase (GPx) activity, and decreased malondialdehyde (MDA) and reactive oxygen species (ROS) levels. Vascular endothelial growth factor (VEGF) and interleukin-1β (IL-1β) in the serum of diabetes model rats were upregulated, and BA reversed these changes significantly. Furthermore, BA increased the mRNA levels of Nrf2 and HO-1, as well as the nuclear location of Nrf2 and protein levels of HO-1. These results suggested that BA can protect retinal cells from diabetes-induced oxidative stress and inflammation, and this may be regulated through Nrf2/HO-1 signaling.
The use of mobile and wireless technologies and wearable devices for improving health care processes and outcomes (mHealth) is promising for health promotion among patients with chronic diseases such ...as obesity and diabetes. This study comprehensively examined published mHealth intervention studies for obesity and diabetes treatment and management to assess their effectiveness and provide recommendations for future research. We systematically searched PubMed for mHealth-related studies on diabetes and obesity treatment and management published during 2000–2016. Relevant information was extracted and analyzed. Twenty-four studies met inclusion criteria and varied in terms of sample size, ethnicity, gender, and age of the participating patients and length of follow-up. The mHealth interventions were categorized into 3 types: mobile phone text messaging, wearable or portable monitoring devices, and applications running on smartphones. Primary outcomes included weight loss (an average loss ranging from −1.97 kg in 16 wk to −7.1 kg in 5 wk) or maintenance and blood glucose reduction (an average decrease of glycated hemoglobin ranging from −0.4% in 10 mo to −1.9% in 12 mo); main secondary outcomes included behavior changes and patient perceptions such as self-efficacy and acceptability of the intervention programs. More than 50% of studies reported positive effects of interventions based on primary outcomes. The duration or length of intervention ranged from 1 wk to 24 mo. However, most studies included small samples and short intervention periods and did not use rigorous data collection or analytic approaches. Although some studies suggest that mHealth interventions are effective and promising, most are pilot studies or have limitations in their study designs. There is an essential need for future studies that use larger study samples, longer intervention (≥ 6 mo) and follow-up periods (≥ 6 mo), and integrative and personalized innovative mobile technologies to provide comprehensive and sustainable support for patients and health service providers.
Insulin receptor (INSR) has been extensively studied in the area of cell proliferation and energy metabolism. Impaired INSR activities lead to insulin resistance, the key factor in the pathology of ...metabolic disorders including type 2 diabetes mellitus (T2DM). The mainstream opinion is that insulin resistance begins at a post-receptor level. The role of INSR activities and trafficking in insulin resistance pathogenesis has been largely ignored. Ligand-activated INSR is internalized and trafficked to early endosome (EE), where INSR is dephosphorylated and sorted. INSR can be subsequently conducted to lysosome for degradation or recycled back to the plasma membrane. The metabolic fate of INSR in cellular events implies the profound influence of INSR on insulin signaling pathways. Disruption of INSR-coupled activities has been identified in a wide range of insulin resistance-related diseases such as T2DM. Accumulating evidence suggests that alterations in INSR trafficking may lead to severe insulin resistance. However, there is very little understanding of how altered INSR activities undermine complex signaling pathways to the development of insulin resistance and T2DM. Here, we focus this review on summarizing previous findings on the molecular pathways of INSR trafficking in normal and diseased states. Through this review, we provide insights into the mechanistic role of INSR intracellular processes and activities in the development of insulin resistance and diabetes.
The present study evaluated the combined effectiveness of cognitive behavioral therapy (CBT) for postnatal depression. A systematic search was conducted across databases including PubMed, Embase, and ...the Cochrane library to identify the randomized controlled trials (RCTs) that assessing CBT versus control for postnatal depression until March 2017. Data was extracted by two reviewers, independently. The Review Manager 5.3 and Stata 11.0 were used to calculate the synthesized effect of CBT on depression, and anxiety. A total of 20 RCTs involving 3623 participants were included. The results of meta-analysis showed that CBT was associated with a better Edinburgh Postnatal Depression Scale (EPDS) than control in short-term (mean difference = -2.86, 95% CI: -4.41--1.31; P<0.05) and long-term (mean difference = -1.68, 95% CI: -1.81-1.56; P<0.05). CBT also improved short-term (mean difference = -6.30, 95% CI: -11.32--1.28; P<0.05) and long-term (mean difference = -4.31, 95% CI: -6.92--1.70; P<0.05) Beck Depression Inventory (BDI). Subgroup analysis based on intervention types showed that in-home and telephone-based therapy exhibited significant reductions in EPDS scores (P<0.05 for all). CBT significantly improved the short-term odds ratio (OR) = 6.57, 95% CI: 1.84-23.48; P<0.05 and long-term (OR = 2.00, 95% CI: 1.61-2.48; P<0.05) depressive symptomatology as compared to control. CBT also reduced the score of Depression Anxiety Stress Scales (DASS), though without significance. In conclusion, CBT effectively improved the symptoms and progression of postnatal depression.
Coal samples for low-pressure nitrogen (N2) adsorption measurement in previous work cover a large particle size range (from 0.075 to 4.75 mm). However, minimal attention has been paid to the effect ...of coal particle size on pore structure using gas adsorption methods. Anthracite coal collected from the Zhina Coalfield, China, was crushed, subsampled, and sieved to eight particle size ranges: 1–2 mesh (8000–25400 µm), 40–50 mesh (270–380 µm), 50–70 mesh (212–270 µm), 70–90 mesh (160–212 µm), 90–160 mesh (96–160 µm), 160–200 mesh (75–96 µm), 200–300 mesh (48–75 µm), and >300 mesh (<48 µm). The adsorption–desorption isotherms of each subsample were measured using N2 at 77.35 K to compare differences in pore structure characteristics. The results of the N2 adsorption tests show that particle size has a significant effect on pore volume, specific surface area, and pore size distribution of coal. Specifically, decreasing coal particle size results in continuous increase in macro- and mesopore volumes and specific surface areas. This can be attributed to the fact that smaller-sized coal particles open more of the previously closed pores, which are then accessible to adsorping gas. The contribution of closed pores to the total pore volume is 94.94% in the pore aperture range of 3.1–370 nm. The volume of closed macropores varies from 48.96 to 84.69% of the total closed pore volume. According to optical microscope and SEM observations of the Zhina Coalfield subsamples, massive gas pores exist in an isolated form with poor connectivity; some plant tissue pores are filled by pyrites and clay minerals, and may be totally occluded. Thus, gas pores contribute the dominant amount of the closed pore volume. In addition, different Zhina Coalfield subsamples show varied hysteresis loop shapes, indicating that closed pores in coal possess a variety of pore morphologies and sizes. To improve the accuracy and comparability of the pore structure of coal, we propose >300 mesh as the preferred particle size of coal for all low-pressure N2 adsorption measurement in future work. Furthermore, caution must be used in evaluating coal bed methane resource recovery potential as coal possesses high closed porosity; failure to account for this will result in an overestimation of the amount of gas that can be recovered from coal seams during production.
The nonlocal symmetry of the Drinfeld–Sokolov–Satsuma–Hirota system is obtained from the known Lax pair, and infinitely many nonlocal symmetries are given by introducing the internal parameters. Then ...the nonlocal symmetry is localized to a prolonged system by introducing suitable auxiliary dependent variables. By applying the classical Lie symmetry method to this prolonged system, two main results are obtained: a new type of finite symmetry transformation is derived, which can generate new solutions from old ones; some exact interaction solutions among solitons and other complicated waves including periodic cnoidal wave and Painlevé waves are derived through similarity reductions.
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