•A new model based on LSTM is developed for predicting water table depth.•Only a very simple data pre-processing method is required in our proposed model.•The dropout strategy is adopted to prevent ...over-fitting significantly.•Our model shows superiority over the classic FFNN and the Double-LSTM models.
Predicting water table depth over the long-term in agricultural areas presents great challenges because these areas have complex and heterogeneous hydrogeological characteristics, boundary conditions, and human activities; also, nonlinear interactions occur among these factors. Therefore, a new time series model based on Long Short-Term Memory (LSTM), was developed in this study as an alternative to computationally expensive physical models. The proposed model is composed of an LSTM layer with another fully connected layer on top of it, with a dropout method applied in the first LSTM layer. In this study, the proposed model was applied and evaluated in five sub-areas of Hetao Irrigation District in arid northwestern China using data of 14 years (2000–2013). The proposed model uses monthly water diversion, evaporation, precipitation, temperature, and time as input data to predict water table depth. A simple but effective standardization method was employed to pre-process data to ensure data on the same scale. 14 years of data are separated into two sets: training set (2000–2011) and validation set (2012–2013) in the experiment. As expected, the proposed model achieves higher R2 scores (0.789–0.952) in water table depth prediction, when compared with the results of traditional feed-forward neural network (FFNN), which only reaches relatively low R2 scores (0.004–0.495), proving that the proposed model can preserve and learn previous information well. Furthermore, the validity of the dropout method and the proposed model’s architecture are discussed. Through experimentation, the results show that the dropout method can prevent overfitting significantly. In addition, comparisons between the R2 scores of the proposed model and Double-LSTM model (R2 scores range from 0.170 to 0.864), further prove that the proposed model’s architecture is reasonable and can contribute to a strong learning ability on time series data. Thus, one can conclude that the proposed model can serve as an alternative approach predicting water table depth, especially in areas where hydrogeological data are difficult to obtain.
Primary diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma. It is very rare to find lymphoma in immune -privileged sitesat the same time. We report a case of ...rapidly progressing DLBCL involving multiple sites in the central nervous system, testis, and orbit.
A 57-years-old man developed diplopia 1 month ago with severe right periorbital pain and right eyelid ptosis. He developed dysphagia 1 week ago and hoarseness 5 days ago.
The pathology of the left testicle confirmed DLBCL. Immunohistochemical analysis showed that CD20, CD79α, multiple myeloma oncogene-1, BCL2, BCL6 atypical lymphocyte aggregation was positive. Positron emission tomography reveals DLBCL involving the central nervous system, testes, eyes, and other parts of the body.
We administered glucocorticoids for pre-chemotherapy treatment, but the patient's condition progressed quickly and was generally poor. The patient's family decided to discharge automatically.
Two weeks after he was discharged, we called for a follow-up visit and were told the patient had died.
Atypical clinical symptoms of the disease often confuse the doctor's diagnosis. Adequate examination should be performed before glucocorticoid treatment in order to avoid obscuring the true condition. In some rare diseases, early use of PET-CT may lead to early detection.
We aimed to systematically review the clinical characteristics of coronavirus disease 2019 (COVID‐19). Seven databases were searched to collect studies about the clinical characteristics of COVID‐19 ...from January 1, 2020 to February 28, 2020. Then, meta‐analysis was performed by using Stata12.0 software. A total of 38 studies involving 3062 COVID‐19 patients were included. Meta‐analysis showed that a higher proportion of infected patients was male (56.9%). The incidence rate of respiratory failure or acute respiratory distress syndrome was 19.5% and the fatality rate was 5.5%. Fever (80.4%), fatigue (46%), cough (63.1%), and expectoration (41.8%) were the most common clinical manifestations. Other common symptoms included muscle soreness (33%), anorexia (38.8%), chest tightness (35.7%), shortness of breath (35%), dyspnea (33.9%). Minor symptoms included nausea and vomiting (10.2%), diarrhea (12.9%), headache (15.4%), pharyngalgia (13.1%), shivering (10.9%), and abdominal pain (4.4%). The proportion of patients that was asymptomatic was 11.9%. Normal leukocyte counts (69.7%), lymphopenia (56.5%), elevated C‐reactive protein levels (73.6%), elevated ESR (65.6%), and oxygenation index decreased (63.6%) were observed in most patients. About 37.2% of patients were found with elevated D‐dimer, 25.9% of patients with leukopenia, along with abnormal levels of liver function (29%), and renal function (25.5%). Other findings included leukocytosis (12.6%) and elevated procalcitonin (17.5%). Only 25.8% of patients had lesions involving a single lung and 75.7% of patients had lesions involving bilateral lungs. The most commonly experienced symptoms of COVID‐19 patients were fever, fatigue, cough, and expectoration. A relatively small percentage of patients were asymptomatic. Most patients showed normal leucocytes counts, lymphopenia, elevated levels of C‐reactive protein and ESR. Bilateral lung involvement was common.
Highlights
COVID‐19 is a new respiratory disease which needs quick identification of infected patients.
The most common symptoms of COVID‐19 patients were fever, fatigue, cough, and expectoration.
A relatively small percentage of patients were asymptomatic.
Most patients showed normal leucocytes counts, lymphopenia, elevated levels of C‐reactive protein and ESR.
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The renin-angiotensin system (RAS) is undisputedly one of the most prominent endocrine (tissue-to-tissue), paracrine (cell-to-cell) and intracrine (intracellular/nuclear) vasoactive ...systems in the physiological regulation of neural, cardiovascular, blood pressure, and kidney function. The importance of the RAS in the development and pathogenesis of cardiovascular, hypertensive and kidney diseases has now been firmly established in clinical trials and practice using renin inhibitors, angiotensin-converting enzyme (ACE) inhibitors, type 1 (AT1) angiotensin II (ANG II) receptor blockers (ARBs), or aldosterone receptor antagonists as major therapeutic drugs. The major mechanisms of actions for these RAS inhibitors or receptor blockers are mediated primarily by blocking the detrimental effects of the classic angiotensinogen/renin/ACE/ANG II/AT1/aldosterone axis. However, the RAS has expanded from this classic axis to include several other complex biochemical and physiological axes, which are derived from the metabolism of this classic axis. Currently, at least five axes of the RAS have been described, with each having its key substrate, enzyme, effector peptide, receptor, and/or downstream signaling pathways. These include the classic angiotensinogen/renin/ACE/ANG II/AT1 receptor, the ANG II/APA/ANG III/AT2/NO/cGMP, the ANG I/ANG II/ACE2/ANG (1–7)/Mas receptor, the prorenin/renin/prorenin receptor (PRR or Atp6ap2)/MAP kinases ERK1/2/V-ATPase, and the ANG III/APN/ANG IV/IRAP/AT4 receptor axes. Since the roles and therapeutic implications of the classic angiotensinogen/renin/ACE/ANG II/AT1 receptor axis have been extensively reviewed, this article will focus primarily on reviewing the roles and therapeutic implications of the vasoprotective axes of the RAS in cardiovascular, hypertensive and kidney diseases.
We report a facile approach to produce lightweight microcellular polyetherimide (PEI)/graphene nanocomposite foams with a density of about 0.3 g/cm3 by a phase separation process. It was observed ...that the strong extensional flow generated during cell growth induced the enrichment and orientation of graphene on cell walls. This action decreased the electrical conductivity percolation from 0.21 vol % for PEI/graphene nanocomposite to 0.18 vol % for PEI/graphene foam. Furthermore, the foaming process significantly increased the specific electromagnetic interference (EMI) shielding effectiveness from 17 to 44 dB/(g/cm3). In addition, PEI/graphene nanocomposite foams possessed low thermal conductivity of 0.065–0.037 W/m·K even at 200 °C and high Young’s modulus of 180–290 MPa.
Two-dimensional (2D) MXene Ti3C2 nanosheets are prepared by liquid phase exfoliation of layered Ti3AlC2 in aqueous solution of HF, followed by alkalization and calcination. The electrical properties ...of the as-prepared Ti3C2 nanosheets are investigated as a function of calcining temperatures to find the optimum process condition. The microstructures and structural changes of the MXene Ti3C2 nanosheets are studied by X-ray diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). It is found that the post-treatment processes could effectively remove the functional groups on the surface of 2D nanosheets to enhance the electrical properties of MXene Ti3C2. As a result, the MXene Ti3C2 nanosheets after calcination at 600°C exhibit a high conductivity of 2140S/cm, nearly three times as high as that of the un-treated Ti3C2 samples.
•The conductivity of 2D Ti3C2 nanosheets was greatly improved by post-treatments.•Calcination removed effectively surface OH functional groups of MXene nanosheets.•The flake nanostructure of Ti3C2 collapsed to form TiO2 after 800°C calcination.
In this paper, we study the well-posedness of the Forward–Backward Stochastic Differential Equations (FBSDE) in a general non-Markovian framework. The main purpose is to find a unified scheme which ...combines all existing methodology in the literature, and to address some fundamental longstanding problems for non-Markovian FBSDEs. An important device is a decoupling random field that is regular (uniformly Lipschitz in its spatial variable). We show that the regulariy of such decoupling field is closely related to the bounded solution to an associated characteristic BSDE, a backward stochastic Riccati-type equation with superlinear growth in both components Y and Z. We establish various sufficient conditions for the well-posedness of an ODE that dominates the characteristic BSDE, which leads to the existence of the desired regular decoupling random field, whence the solvability of the original FBSDE. A synthetic analysis of the solvability is given, as a "User's Guide," for a large class of FBSDEs that are not covered by the existing methods. Some of them have important implications in applications.
The main objective of this paper and the accompanying one Viscosity solutions of fully nonlinear parabolic path dependent PDEs: Part II (2012) Preprint is to provide a notion of viscosity solutions ...for fully nonlinear parabolic path-dependent PDEs. Our definition extends our previous work Ann. Probab. (2014) 42 204-236, focused on the semilinear case, and is crucially based on the nonlinear optimal stopping problem analyzed in Stochastic Process. Appl. (2014) 124 3277-3311. We prove that our notion of viscosity solutions is consistent with the corresponding notion of classical solutions, and satisfies a stability property and a partial comparison result. The latter is a key step for the well-posedness results established in Viscosity solutions of fully nonlinear parabolic path dependent PDEs: Part II (2012) Preprint. We also show that the value processes of path-dependent stochastic control problems are viscosity solutions of the corresponding path-dependent dynamic programming equations.
Recent resting-state functional MRI (fMRI) studies have revealed that the global signal (GS) exhibits a nonuniform spatial distribution across the gray matter. Whether this topography is informative ...remains largely unknown. We therefore tested rest-task modulation of GS topography by analyzing static GS correlation and dynamic coactivation patterns in a large sample of an fMRI dataset (n = 837) from the Human Connectome Project. The GS topography in the resting state and in seven different tasks was first measured by correlating the GS with the local time series (GSCORR). In the resting state, high GSCORR was observed mainly in the primary sensory and motor regions, whereas low GSCORR was seen in the association brain areas. This pattern changed during the seven tasks, with mainly decreased GSCORR in sensorimotor cortex. Importantly, this rest-task modulation of GSCORR could be traced to transient coactivation patterns at the peak period of GS (GS-peak). By comparing the topography of GSCORR and respiration effects, we observed that the topography of respiration mimicked the topography of GS in the resting state, whereas both differed during the task states; because of such partial dissociation, we assume that GSCORR could not be equated with a respiration effect. Finally, rest-task modulation of GS topography could not be exclusively explained by other sources of physiological noise. Together, we here demonstrate the informative nature of GS topography by showing its rest-task modulation, the underlying dynamic coactivation patterns, and its partial dissociation from respiration effects during task states.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
In this paper we study a two person zero sum stochastic differential game in weak formulation. Unlike the standard literature, which uses strategy type controls, the weak formulation allows us to ...consider the game with control against control. We shall prove the existence of game value under natural conditions. Another main feature of the paper is that we allow for non-Markovian structure, and thus the game value is a random process. We characterize the value process as the unique viscosity solution of the corresponding path dependent Bellman--Isaacs equation, a notion recently introduced by Ekren et al. Ann. Probab. , 42 (2014), pp. 204--236 and Ekren, Touzi, and Zhang Stochastic Process. , to appear; preprint, arXiv:1210.0006v2; preprint, arXiv:1210.0007v2.
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