8 research outputs found
Hierarchical Sarsa Learning Based Route Guidance Algorithm
In modern society, route guidance problems can be found everywhere. Reinforcement learning models can be normally used to solve such kind of problems; particularly, Sarsa Learning is suitable for tackling with dynamic route guidance problem. But how to solve the large state space of digital road network is a challenge for Sarsa Learning, which is very common due to the large scale of modern road network. In this study, the hierarchical Sarsa learning based route guidance algorithm (HSLRG) is proposed to guide vehicles in the large scale road network, in which, by decomposing the route guidance task, the state space of route guidance system can be reduced. In this method, Multilevel Network method is introduced, and Differential Evolution based clustering method is adopted to optimize the multilevel road network structure. The proposed algorithm was simulated with several different scale road networks; the experiment results show that, in the large scale road networks, the proposed method can greatly enhance the efficiency of the dynamic route guidance system.
Document type: Articl
Nanoscale Bandgap Tuning across an Inhomogeneous Ferroelectric Interface
We report nanoscale bandgap engineering via a local strain across the
inhomogeneous ferroelectric interface, which is controlled by the
visible-light-excited probe voltage. Switchable photovolatic effects and the
spectral response of the photocurrent were explore to illustrate the reversible
bandgap variation (~0.3eV). This local-strain-engineered bandgap has been
further revealed by in situ probe-voltage-assisted valence electron energy-loss
spectroscopy (EELS). Phase-field simulations and first-principle calculations
were also employed for illustration of the large local strain and the bandgap
variation in ferroelectric perovskite oxides. This reversible bandgap tuning in
complex oxides demonstrates a framework for the understanding of the
opticallyrelated behaviors (photovoltaic, photoemission, and photocatalyst
effects) affected by order parameters such as charge, orbital, and lattice
parameters
HJURP promotes proliferation in prostate cancer cells through increasing CDKN1A degradation via the GSK3β/JNK signaling pathway
Abstract Genes with cross-cancer aberrations are most likely to be functional genes or potential therapeutic targets. Here, we found a total of 137 genes were ectopically expressed in eight cancer types, of which Holliday junction recognition protein (HJURP) was significantly upregulated in prostate cancer (PCa). Moreover, patients with higher HJURP mRNA and protein levels had poorer outcomes, and the protein levels served as an independent prognosis factor for the overall survival of PCa patients. Functionally, ectopic HJURP expression promoted PCa cells proliferation in vitro and in vivo. Mechanistically, HJURP increased the ubiquitination of cyclin-dependent kinase inhibitor 1 (CDKN1A) via the GSK3β/JNK signaling pathway and decreased its stability. This study investigated the role of HJURP in PCa proliferation and may provide a novel prognostic and therapeutic target for PCa
A practical pressure measuring method for the upper urinary tract during ureteroscopy
Purpose: The purpose of this study was to develop and test a method for measuring pressure in the upper urinary tract during ureteroscopic operations and to evaluate its efficacy and clinical significance.
Methods: A total of 44 patients, each with a ureteral calculus in the proximal ureteral segment, were enrolled in the study group: 21 patients with an acute and 23 with a chronic obstruction. The ureteroscope was passed forward to the upper segment of the obstructed ureter immediately after the calculus was broken and the intraluminal ureteral pressure was then transmitted along with the irrigant flow (0.9% sodium chloride).
Results: The mean ureteral pressures of the acute obstruction subgroup, the chronic obstruction subgroup and the control group were 74.5 mmHg (22-180 mmHg), 32.5 mmHg (9-53 mmHg) and 10.2 mmHg (8-13 mmHg), respectively. A significant correlation was found between ureteral pressure and the following indexes: the duration of the obstruction (r=0.985), the diameter of the ureter above the calculus (r=0.878) and the depth of the hydronephrosis of the renal pelvis (r=0.862). No associations were observed between the pressure and the serum creatinine level (r=0.214) or the urinary leukocyte count (r=0.047). The intraluminal pressure correlated with the glomerular flow rate (GFR) of the affected kidney (r =0.975, P =0.001).
Conclusions: This new method is non-invasive, practical and reproducible. Measuring the intraluminal pressure of the ureter can provide a valuable index to quantify the severity of the obstruction of the upper urinary tract, which is helpful for the prediction of the affected renal function prognosis
Nanoscale Bandgap Tuning across an Inhomogeneous Ferroelectric Interface
We report nanoscale
bandgap engineering via a local strain across the inhomogeneous ferroelectric
interface, which is controlled by the visible-light-excited probe
voltage. Switchable photovoltaic effects and the spectral response
of the photocurrent were explored to illustrate the reversible bandgap
variation (∼0.3 eV). This local-strain-engineered bandgap has
been further revealed by <i>in situ</i> probe-voltage-assisted
valence electron energy-loss spectroscopy (EELS). Phase-field simulations
and first-principle calculations were also employed for illustration
of the large local strain and the bandgap variation in ferroelectric
perovskite oxides. This reversible bandgap tuning in complex oxides
demonstrates a framework for the understanding of the optically related
behaviors (photovoltaic, photoemission, and photocatalyst effects)
affected by order parameters such as charge, orbital, and lattice
parameters